python3-scipy-1.3.3-150200.5.3.1<>,$dJ0p9|GDIoPB* =,/"ܚΛoi9yvy*dq*{qvޟn˲Xmglۈߵcf"q7 '!>>?d # ? ,AGP\ $b /h Et 7 W@g(89:FEGEH\IrXwYw\w]^bc~deflu,v28fwixyz0@DJCpython3-scipy1.3.3150200.5.3.1Scientific Tools for PythonScipy is open-source software for mathematics, science, and engineering. The core library is NumPy which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world\'s leading scientists and engineers.dJ0ibs-power9-10L(SUSE Linux Enterprise 15SUSE LLC BSD-3-Clause AND LGPL-2.0-or-laterhttps://www.suse.com/Development/Libraries/Pythonhttp://www.scipy.orglinuxppc64leRQ[;"9/[" V =cKP na j 5z0=u6 Ux @ n 6>*b blg`qO^g;@=%%I-xe/0tr <n J"4;]tthU`#i7]\ ~[ Ul.:"4aEH)ExkU `:S'60W]> 9P%B;98^ATJ91 8H*>{  cA_f7!C r*eFbf3:XY(qT|x%2Ynpd0I}X)# X`;R5q(c) &FH`y"&  Zqg>x$ a,Hm/74W#8G#ZH( c*aFT*Z R,O|</:W"`B { u&O88``g}H& 22(H&0w  `(::ee] V Veq=\ D x5K 5X 5L 5(xg(0@3 $DL$L l x d h 8  E8ploL_K; 10%+2l.f^s^I #[r : L*-&'6#n.PfE$/F1'9Z@0c Qh0.0b,m  =nwی&)38C =C~.4(N9rx0WGhYvy>tF,  I(8o2e ymbJ#[9 ""_IQ#>U; P ` A b,kQWCc&B @+ M HP&|G7 5D'/1ehHD>.T7fS>S} O8'b6["M dL 6N8skV z;4rIEFtB,>4&@XWt]J M [.0<Qr--=1fM%~ PP\@If:4$HY0|i-2 M=$$T1kNL)=6 %0!a3nXD&#m6+a< &sz p$^!(=Bq XgP PhK<&^(Y*sYh . ^)Br''%S|:eL)+T3Gi@98N$x)0-3"W=K'CA+pE39/Vm;7,Ch z.3>VTud' m{k(#E/'HRI)n&"4"Gc\ A$)/*>S(KA;K'S*4lb ıeVCQw7VLDH e $^+ W,16=i25E gkKG.a`IT-<">9KO^dtE |9ZU*NV,N>\5 d= nd,#;Nc)v^R{- )j! %41Pn$_ -NSO[g ' e /V,$Rv 6-r1 -P Qoc wv,X:Pq q q q Pq  q qq p$("l91LH6(kL%tws?Z2b # N 8  S ,X M Ov }-@.zHׂ ],3B w i@ C % Z 0C7V%@HY _f!ws2mQ  8G &'X `o9 0 !1H eL8ppfDJj<\M5l$3R k:m`() 'U\a ii4O 02EXZ# "9AA큤A큤A큤A큤A큤A큤큤큤큤A큤A큤A큤큤A큤A큤A큤A큤A큤A큤큤큤A큤A큤A큤A큤A큤큤A큤A큤A큤큤큤큤큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤큤A큤A큤A큤A큤A큤A큤큤큤큤큤큤큤AAA큤A큤A큤A큤A큤A큤A큤A큤A큤큤큤A큤A큤A큤A큤A큤A큤A큤큤큤큤A큤A큤큤큤A큤A큤큤A큤A큤큤A큤A큤A큤큤A큤A큤큤A큤큤A큤A큤A큤큤큤큤큤큤A큤A큤A큤A큤A큤큤큤A큤A큤큤A큤A큤A큤AA큤A큤큤A큤A큤A큤AA큤A큤큤A큤A큤A큤A큤A큤A큤큤A큤A큤A큤A큤A큤A큤큤큤A큤A큤A큤A큤A큤A큤A큤A큤큤큤A큤A큤큤큤큤큤A큤A큤A큤A큤큤큤큤A큤AA큤A큤A큤dIdIdIdIdIdI]!7]!7]!7]!7dddIdIdIdIdIdIdIdIddIdIdIdIddddIddIdIdIdIdIdIdIdIdIdIdIdIdIdIddJdJdddJddddddddJdddIdFdFdFdFdFdFdFdFdFdFdIddIdIdIdIdIdJdJdJdddIdFdFdFdFdddIddIdIdIdIdIddddIdFdFdFdIddIdIdIdIdIdIdIdJddJdddddI[ 7dF]!7]!7]!7dF[ 7dF[ 7dFdFdFdFdFdIddIdIdIdIdIdIdIdIddJdIddIdIdIdIdIdIdIdIdIdddddddddJdJdJdJdJdddddIdF[ 7[ 7dFdFdFdFdFdFdFdJdIddIdIdIdIdIdIdIdIdIdIdIdIdIdIdJdddJdddJdJdddJdddddddIdFdI[ 7[ 7dFdFdFdFdFdFdFdFdFdFdFdIddIdIdIdIdIdIdIdIddJdIddIdIdIdIdddIdFdI[ 7[ 7[ 7]/ ]/ [ 7]/ [ 7[ 7[ 7[ 7[ 7[ 7[ 7]/ dFdIddIdIdIdIdIddddIdFdFdFddIddIdIdIdIdIdIdIdIdIddddddJdJdddJdIdF[ 7dI[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7dFdFdFdFdFdFdFdFddddIdFdI[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7dFdFdFdFdFdFddI[ 7ddIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdddddJddJdJdJddJddddddJdddddJ]ndJ]ndddddddddddddddIdIdI[ 7dI[ 7dIdFdI[ 7[ 7[ 7[ 7[ 7[ 7dFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdIddIdIdIdIdI[ 7dd[ 7[ 7ddIdFdFdFdIddIdIdIdIdIdIdIdIdIdIdJdJdJdJddJddddddddIdFdI[ 7[ 7[ 7[ 7[ 7dFdFdFdFdFdFdFdFdIddJdIdIdIdIdIdIdddddIdFdFdI]/ ddIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIddJdJdddddJdddJddddddIddIdIdIdIdIdIdIdIdIdIddddJdddddddJdJddddddIdFdIdIdIdIdF]/ dFdJddIddIdIdIdJdddIddIdIdIdIdIdIdIdIdIdIddddddddIdFdFdFdFdddddddJddI]/ ddIdIdJ]/ ]/ ddI]/ dddJdJddddddIdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFddddIddIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdddJddJddJddJddddddddJddJdIdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdddIddIdIdIdIdddIddIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdJdddJdddddddIddIdIdIdIdIddJdJdJdJdJdddIdFdFdFdFdFdFdFdFddddddddIddIdIdIdIdIdIdIdIddddIdI[ 7ddIdIdIdIdIddJdddIdFdFdIddIdIdIdIdI[ 7ddIdIdIdIdJdddIdFdFdIddIdIdIdIdddIdFdFdddIddIdIdIdIdIdIdIdIdIdIddJdddddddIdFdFdFdFdFdFdFdFdFddddIdFdFdFdFdFdFdddddIdFdI[ 7[ 7dFdFdFdFdFdFdFdFdFdIddIdIdIdIdIdIdIdIdJdJddddJdJdddJdI]!7ddIdFdI[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7]/ ]/ [ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7dFdFdFdFdFdFdFdIddIdIdIdIdIddddIdFdFdFdI[ 7ddIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdJddJddddIddIdIdIdIdIdIdIdIdIdIdIdddddddddddJddJdJdddJ]ndddddJddIdFdI[ 7]n]n]ndFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdIddIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIdIddddddddddJddddddddddJddJddIdFdFdIdI[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7[ 7dI[ 7]/ ]/ dFdFdFdFdFdFdFdFdFdFdFdFdFdFdFdddJ]!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.3.3-150200.5.3.1.src.rpmpython3-scipypython3-scipy(ppc-64)@@@@@@@@@@@@@@@@@@@@@     ld64.so.2()(64bit)ld64.so.2(GLIBC_2.22)(64bit)libc.so.6()(64bit)libc.so.6(GLIBC_2.17)(64bit)libgcc_s.so.1()(64bit)libgcc_s.so.1(GCC_3.0)(64bit)libgcc_s.so.1(GCC_3.4.4)(64bit)libgcc_s.so.1(GCC_4.0.0)(64bit)libgfortran.so.4()(64bit)libgfortran.so.4(GFORTRAN_7)(64bit)libm.so.6()(64bit)libm.so.6(GLIBC_2.17)(64bit)libopenblas_openmp.so.0()(64bit)libpthread.so.0()(64bit)libpython3.6m.so.1.0()(64bit)libstdc++.so.6()(64bit)libstdc++.so.6(CXXABI_1.3)(64bit)libstdc++.so.6(CXXABI_1.3.9)(64bit)libstdc++.so.6(GLIBCXX_3.4)(64bit)libstdc++.so.6(GLIBCXX_3.4.21)(64bit)python(abi)python3-numpyrpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)3.61.5.13.0.4-14.6.0-14.0-15.2-14.14.1d^oj@^2@]e@\b@\A\@n@\'@ZZ?ZZ@Y@YdYcl@XQ@X @VV3[U@U@TPT@steven.kowalik@suse.comeich@suse.commcepl@suse.commcepl@suse.comeich@suse.comeich@suse.comjjolly@suse.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comarun@gmx.deschwab@suse.detoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.comtoddrme2178@gmail.com- Add patch CVE-2023-25399-incorrect-refcounting.patch: * Fix minor refcounting issue in Py_FindObjects (bsc#1213062, CVE-2023-25399) - Add patch CVE-2023-29824-use-after-free.patch: * Don't use a variable after free. (bsc#1213137, CVE-2023-29824)- 'umpfack' is a runtime dependency of scipy. No build time dependency to suitesparse is required (jsc#SLE-11732). - Eliminate one site.cfg entirely as it is not used anymore.- Fix _ver macro (bsc#1162091)- Update to the scipy 1.3.3 (jsc#SLE-8493, bsc#1149203): - 1.2.1, 1.3.1, 1.3.2, and this one are just bugfix releases - 1.3.0: - Three new stats functions, a rewrite of pearsonr, and an exact computation of the Kolmogorov-Smirnov two-sample test - A new Cython API for bounded scalar-function root-finders in scipy.optimize - Substantial CSR and CSC sparse matrix indexing performance improvements - Added support for interpolation of rotations with continuous angular rate and acceleration in RotationSpline - Various improvements (whole list is available on https://docs.scipy.org/doc/scipy/reference/release.1.3.0.html) - Patch no_implicit_decl.patch has been refreshed to sit on the current upstream release tarball.bsc#1130564: Apply update from the openSUSE package - Properly create and tear down default version links when the HPC master packages are installed/uninstalled. - Make use of %hpc_modules_init to make modules also known to client. - Module file: * remove PATH element. Package has no binary, * make cosmetic changes. - Remove use of %%python_module in dependency.- Some futher changes: * Remove the use of fftw. The code doesn't link against it anywhere. For HPC we would have to build things separately for different MPI flavors as fftw3 exists only with HPC support there. * restructure the build process: since the environment for the right python version of Numpy needs to be loaded, wrap entire build (and install) in %%{python_expand: ..}.- Add support for HPC builds: * Add _multibuild file * Add standard and gnu-hpc builds * Create initialization for both flavors to set the correct target directories in macros and replace install paths with these. * Restructure the build process. * Create 'master' packages for non-HPC builds. * Create environment module information,- Update to version 1.2.0 * Many changes. Please see changelog at: https://github.com/scipy/scipy/blob/v1.2.0/doc/release/1.2.0-notes.rst- Fix build on SLE- Update to version 1.1.0 * Many changes. Please see changelog at: https://github.com/scipy/scipy/blob/v1.1.0/doc/release/1.1.0-notes.rst- update to version 1.0.1: * Issues closed for 1.0.1 + #7493: ndimage.morphology functions are broken with numpy 1.13.0 + #8118: minimize_cobyla broken if disp=True passed + #8142: scipy-v1.0.0 pdist with metric=`minkowski` raises `ValueError:... + #8173: scipy.stats.ortho_group produces all negative determinants... + #8207: gaussian_filter seg faults on float16 numpy arrays + #8234: scipy.optimize.linprog interior-point presolve bug with trivial... + #8243: Make csgraph importable again via from scipy.sparse import* + #8320: scipy.root segfaults with optimizer 'lm' * Pull requests for 1.0.1 + #8068: BUG: fix numpy deprecation test failures + #8082: BUG: fix solve_lyapunov import + #8144: MRG: Fix for cobyla + #8150: MAINT: resolve UPDATEIFCOPY deprecation errors + #8156: BUG: missing check on minkowski w kwarg + #8187: BUG: Sign of elements in random orthogonal 2D matrices in "ortho_group_gen"... + #8197: CI: uninstall oclint + #8215: Fixes Numpy datatype compatibility issues + #8237: BUG: optimize: fix bug when variables fixed by bounds are inconsistent... + #8248: BUG: declare "gfk" variable before call of terminate() in newton-cg + #8280: REV: reintroduce csgraph import in scipy.sparse + #8322: MAINT: prevent scipy.optimize.root segfault closes #8320 + #8334: TST: stats: don't use exact equality check for hdmedian test + #8477: BUG: signal/signaltools: fix wrong refcounting in PyArray_OrderFilterND + #8530: BUG: linalg: Fixed typo in flapack.pyf.src. + #8566: CI: Temporarily pin Cython version to 0.27.3 + #8573: Backports for 1.0.1 + #8581: Fix Cython 0.28 build break of qhull.pyx- Don't use openblas on m68k and riscv64- Update to version 1.0.0 * Many changes. Please see changelog at: https://github.com/scipy/scipy/blob/v1.0.0/doc/release/1.0.0-notes.rst#why-1-0-now - Rebase no_implicit_decl.patch- More rpmlint fixes.- Update to version 0.19.1 * #7214: Memory use in integrate.quad in scipy-0.19.0 * #7258: linalg.matrix_balance gives wrong transformation matrix * #7262: Segfault in daily testing * #7273: scipy.interpolate._bspl.evaluate_spline gets wrong type * #7335: scipy.signal.dlti(A,B,C,D).freqresp() fails * #7211: BUG: convolve may yield inconsistent dtypes with method changed * #7216: BUG: integrate: fix refcounting bug in quad() * #7229: MAINT: special: Rewrite a test of wrightomega * #7261: FIX: Corrected the transformation matrix permutation * #7265: BUG: Fix broken axis handling in spectral functions * #7266: FIX 7262: ckdtree crashes in query_knn. * #7279: Upcast half- and single-precision floats to doubles in BSpline... * #7336: BUG: Fix signal.dfreqresp for StateSpace systems * #7419: Fix several issues in sparse.load_npz, save_npz * #7420: BUG: stats: allow integers as kappa4 shape parameters - Add no_implicit_decl.patch Fixes implicit-pointer-decl warnings and implicit-fortify-decl error. - Fix wrong-script-interpreter rpmlint error.- Update to version 0.19.0 + Highlights * A unified foreign function interface layer, `scipy.LowLevelCallable`. * Cython API for scalar, typed versions of the universal functions from the `scipy.special` module, via `cimport scipy.special.cython_special`. - Removed weave subpackage. It was removed upstream in this release.- Switch to single-spec version - update to version 0.18.1: * #6357: scipy 0.17.1 piecewise cubic hermite interpolation does not return... * #6420: circmean() changed behaviour from 0.17 to 0.18 * #6421: scipy.linalg.solve_banded overwrites input 'b' when the inversion... * #6425: cKDTree INF bug * #6435: scipy.stats.ks_2samp returns different values on different computers * #6458: Error in scipy.integrate.dblquad when using variable integration... * #6405: BUG: sparse: fix elementwise divide for CSR/CSC * #6431: BUG: result for insufficient neighbours from cKDTree is wrong. * #6432: BUG Issue #6421: scipy.linalg.solve_banded overwrites input 'b'... * #6455: DOC: add links to release notes * #6462: BUG: interpolate: fix .roots method of PchipInterpolator * #6492: BUG: Fix regression in dblquad: #6458 * #6543: fix the regression in circmean * #6545: Revert gh-5938, restore ks_2samp * #6557: Backports for 0.18.1 - update to version 0.18.0: (see http://scipy.github.io/devdocs/release.0.18.0.html for full changelog) * Highlights of this release include: + A new ODE solver for two-point boundary value problems, scipy.optimize.solve_bvp. + A new class, CubicSpline, for cubic spline interpolation of data. + N-dimensional tensor product polynomials, scipy.interpolate.NdPPoly. + Spherical Voronoi diagrams, scipy.spatial.SphericalVoronoi. + Support for discrete-time linear systems, scipy.signal.dlti. - update to version 0.17.1: * #5817: BUG: skew, kurtosis return np.nan instead of "propagate" * #5850: Test failed with sgelsy * #5898: interpolate.interp1d crashes using float128 * #5953: Massive performance regression in cKDTree.query with L_inf distance... * #6062: mannwhitneyu breaks backward compatibility in 0.17.0 * #6134: T test does not handle nans * #5902: BUG: interpolate: make interp1d handle np.float128 again * #5957: BUG: slow down with p=np.inf in 0.17 cKDTree.query * #5970: Actually propagate nans through stats functions with nan_policy="propagate" * #5971: BUG: linalg: fix lwork check in *gelsy * #6074: BUG: special: fixed violation of strict aliasing rules. * #6083: BUG: Fix dtype for sum of linear operators * #6100: BUG: Fix mannwhitneyu to be backward compatible * #6135: Don't pass null pointers to LAPACK, even during workspace queries. * #6148: stats: fix handling of nan values in T tests and kendalltau - specfile: * updated source url to files.pythonhosted.org * require setuptools * Add openBLAS support. This can improve performance in many situations. * Drop ATLAS support.- specfile: * update copyright year - update to version 0.17.0: (see http://scipy.github.io/devdocs/release.0.17.0.html for full changelog) * Highlights + New functions for linear and nonlinear least squares optimization with constraints: scipy.optimize.lsq_linear and scipy.optimize.least_squares + Support for fitting with bounds in scipy.optimize.curve_fit. + Significant improvements to scipy.stats, providing many functions with better handing of inputs which have NaNs or are empty, improved documentation, and consistent behavior between scipy.stats and scipy.stats.mstats. + Significant performance improvements and new functionality in scipy.spatial.cKDTree.- Update to 0.16.1 SciPy 0.16.1 is a bug-fix release with no new features compared to 0.16.0.- Remove Cython subpackage. The sources are not as cleanly separated as the changelog implied.- Update to 0.16.0 * Highlights of this release include: - A Cython API for BLAS/LAPACK in scipy.linalg - A new benchmark suite. It's now straightforward to add new benchmarks, and they're routinely included with performance enhancement PRs. - Support for the second order sections (SOS) format in scipy.signal. * New features - Benchmark suite + The benchmark suite has switched to using Airspeed Velocity for benchmarking. - scipy.linalg improvements + A full set of Cython wrappers for BLAS and LAPACK has been added in the modules scipy.linalg.cython_blas and scipy.linalg.cython_lapack. In Cython, these wrappers can now be cimported from their corresponding modules and used without linking directly against BLAS or LAPACK. + The functions scipy.linalg.qr_delete, scipy.linalg.qr_insert and scipy.linalg.qr_update for updating QR decompositions were added. + The function scipy.linalg.solve_circulant solves a linear system with a circulant coefficient matrix. + The function scipy.linalg.invpascal computes the inverse of a Pascal matrix. + The function scipy.linalg.solve_toeplitz, a Levinson-Durbin Toeplitz solver, was added. + Added wrapper for potentially useful LAPACK function *lasd4. It computes the square root of the i-th updated eigenvalue of a positive symmetric rank-one modification to a positive diagonal matrix. See its LAPACK documentation and unit tests for it to get more info. + Added two extra wrappers for LAPACK least-square solvers. Namely, they are * gelsd and *gelsy. + Wrappers for the LAPACK *lange functions, which calculate various matrix norms, were added. + Wrappers for *gtsv and *ptsv, which solve A*X = B for tri-diagonal matrix A, were added. - scipy.signal improvements + Support for second order sections (SOS) as a format for IIR filters was added. The new functions are: * scipy.signal.sosfilt * scipy.signal.sosfilt_zi, * scipy.signal.sos2tf * scipy.signal.sos2zpk * scipy.signal.tf2sos * scipy.signal.zpk2sos. + Additionally, the filter design functions iirdesign, iirfilter, butter, cheby1, cheby2, ellip, and bessel can return the filter in the SOS format. + The function scipy.signal.place_poles, which provides two methods to place poles for linear systems, was added. + The option to use Gustafsson's method for choosing the initial conditions of the forward and backward passes was added to scipy.signal.filtfilt. + New classes TransferFunction, StateSpace and ZerosPolesGain were added. These classes are now returned when instantiating scipy.signal.lti. Conversion between those classes can be done explicitly now. + An exponential (Poisson) window was added as scipy.signal.exponential, and a Tukey window was added as scipy.signal.tukey. + The function for computing digital filter group delay was added as scipy.signal.group_delay. + The functionality for spectral analysis and spectral density estimation has been significantly improved: scipy.signal.welch became ~8x faster and the functions scipy.signal.spectrogram, scipy.signal.coherence and scipy.signal.csd (cross-spectral density) were added. + scipy.signal.lsim was rewritten - all known issues are fixed, so this function can now be used instead of lsim2; lsim is orders of magnitude faster than lsim2 in most cases. - scipy.sparse improvements + The function scipy.sparse.norm, which computes sparse matrix norms, was added. + The function scipy.sparse.random, which allows to draw random variates from an arbitrary distribution, was added. - scipy.spatial improvements + scipy.spatial.cKDTree has seen a major rewrite, which improved the performance of the query method significantly, added support for parallel queries, pickling, and options that affect the tree layout. See pull request 4374 for more details. + The function scipy.spatial.procrustes for Procrustes analysis (statistical shape analysis) was added. - scipy.stats improvements + The Wishart distribution and its inverse have been added, as scipy.stats.wishart and scipy.stats.invwishart. + The Exponentially Modified Normal distribution has been added as scipy.stats.exponnorm. + The Generalized Normal distribution has been added as scipy.stats.gennorm. + All distributions now contain a random_state property and allow specifying a specific numpy.random.RandomState random number generator when generating random variates. + Many statistical tests and other scipy.stats functions that have multiple return values now return namedtuples. See pull request 4709 for details. - scipy.optimize improvements + A new derivative-free method DF-SANE has been added to the nonlinear equation system solving function scipy.optimize.root. * Deprecated features - scipy.stats.pdf_fromgamma is deprecated. This function was undocumented, untested and rarely used. Statsmodels provides equivalent functionality with statsmodels.distributions.ExpandedNormal. - scipy.stats.fastsort is deprecated. This function is unnecessary, numpy.argsort can be used instead. - scipy.stats.signaltonoise and scipy.stats.mstats.signaltonoise are deprecated. These functions did not belong in scipy.stats and are rarely used. See issue #609 for details. - scipy.stats.histogram2 is deprecated. This function is unnecessary, numpy.histogram2d can be used instead. * Backwards incompatible changes - The deprecated global optimizer scipy.optimize.anneal was removed. - The following deprecated modules have been removed. They had been deprecated since Scipy 0.12.0, the functionality should be accessed as scipy.linalg.blas and scipy.linalg.lapack. + scipy.lib.blas + scipy.lib.lapack + scipy.linalg.cblas + scipy.linalg.fblas + scipy.linalg.clapack + scipy.linalg.flapack. - The deprecated function scipy.special.all_mat has been removed. - These deprecated functions have been removed from scipy.stats: + scipy.stats.fprob + scipy.stats.ksprob + scipy.stats.zprob + scipy.stats.randwcdf + scipy.stats.randwppf * Other changes - The version numbering for development builds has been updated to comply with PEP 440. - Building with python setup.py develop is now supported. - Move Cython imports to another package- update to version 0.15.1: * #4413: BUG: Tests too strict, f2py doesn't have to overwrite this array * #4417: BLD: avoid using NPY_API_VERSION to check not using deprecated... * #4418: Restore and deprecate scipy.linalg.calc_work- Update to 0.15.0 * New features * scipy.optimize improvements * scipy.optimize.linprog now provides a generic linear programming similar to the way scipy.optimize.minimize provides a generic interface to nonlinear programming optimizers. Currently the only method supported is simplex which provides a two-phase, dense-matrix-based simplex algorithm. Callbacks functions are supported,allowing the user to monitor the progress of the algorithm. * The differential_evolution function is available from the scipy.optimize module. Differential Evolution is an algorithm used for finding the global minimum of multivariate functions. It is stochastic in nature (does not use gradient methods), and can search large areas of candidate space, but often requires larger numbers of function evaluations than conventional gradient based techniques. * scipy.signal improvements * The function max_len_seq was added, which computes a Maximum Length Sequence (MLS) signal. * scipy.integrate improvements * The interface between the scipy.integrate module and the QUADPACK library was redesigned. It is now possible to use scipy.integrate to integrate multivariate ctypes functions, thus avoiding callbacks to Python and providing better performance, especially for complex integrand functions. * scipy.sparse improvements * scipy.sparse.linalg.svds now takes a LinearOperator as its main input. * scipy.stats improvements * Added a Dirichlet distribution as multivariate distribution. * The new function `scipy.stats.median_test` computes Mood's median test. * `scipy.stats.describe` returns a namedtuple rather than a tuple, allowing users to access results by index or by name. * Deprecated features * The scipy.weave module is deprecated. It was the only module never ported to Python 3.x, and is not recommended to be used for new code - use Cython instead. In order to support existing code, scipy.weave has been packaged separately: https://github.com/scipy/weave. It is a pure Python package, so can easily be installed with pip install weave. * scipy.special.bessel_diff_formula is deprecated. It is a private function, and therefore will be removed from the public API in a following release. * Backwards incompatible changes * scipy.ndimage * The functions scipy.ndimage.minimum_positions, scipy.ndimage.maximum_positions and scipy.ndimage.extrema return positions as ints instead of floats. * Other changes * scipy.integrate * The OPTPACK and QUADPACK code has been changed to use the LAPACK matrix solvers rather than the bundled LINPACK code. This means that there is no longer any need for the bundled LINPACK routines, so they have been removed. - Update copyright yearibs-power9-10 1689668144  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~      !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~1.3.3-150200.5.3.11.3.3-150200.5.3.1   !!""""!!!!###$$%%%%%%%%$$$$$$$$$$$&&&'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''&&&&&&&&&&&(()))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))))((((((**++++++++++++++++++++++++++++++****************************************,-.,/*00111111000000000000000000022333322222224445566666666655555555555555778888777777777999:::::99999;;<<=====================================<<<<<<<<<<<<<<<<<>>?????????>>>>>>>>><<<<<<<<<@@AAA@@@<<<BBCCBB<<DDEEEEEEEEEDDDDDDDDFFFFD<<<<<<<<<GGHGGG<<I<<<<<<<<<<JJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJJ<<KKLLLLLLLLLLLLLLLLKKKKKKKKKKKKKKKKKKKKMMMMMMMMMMMMMMMMMMKKKNNOOONNPPQQQQQQQQQQQQQQQQQQQQPPPPPPPPPPPRRSSSSRRRRRRRRRTTTTTTTTPPPPPPPPUUVVVVVVVUUUUWXWWYYYYWWWWWZZU[[\\[]^]]___]]]]``[aabbbaaacc[UUddeeeeeeeeedddddddddfffffffffdUUUggggggPPPPPhhiihhhhhhhhhjjkkkkkkkjjjjjjjjjjjljjmmnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnmmmmmmmjooppppooooqqqrrssssssssssssssrrrrrrrttuuuuuuuuuutttttttttrrrrrrrrrrrrrrrrvvwwwwvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvvxxyyyyyyyyyyyyyyyyyyyyyyxxxxxxxxxxxxxxxxxxxxxxxxzzz{|||||||||||{}{{zzzzzzzzzzzzzzzx~scipyscipy-1.3.3-py3.6.egg-infoPKG-INFOSOURCES.txtdependency_links.txttop_level.txtHACKING.rst.txtINSTALL.rst.txtLICENSE.txtTHANKS.txt__config__.py__init__.py__pycache____config__.cpython-36.pyc__init__.cpython-36.pyc_distributor_init.cpython-36.pycconftest.cpython-36.pycsetup.cpython-36.pycversion.cpython-36.pyc_build_utils__init__.py__pycache____init__.cpython-36.pyc_fortran.cpython-36.pycsystem_info.cpython-36.pyc_fortran.pysystem_info.py_distributor_init.py_lib__init__.py__pycache____init__.cpython-36.pyc_ccallback.cpython-36.pyc_gcutils.cpython-36.pyc_numpy_compat.cpython-36.pyc_testutils.cpython-36.pyc_threadsafety.cpython-36.pyc_tmpdirs.cpython-36.pyc_util.cpython-36.pyc_version.cpython-36.pycdecorator.cpython-36.pycdoccer.cpython-36.pycsetup.cpython-36.pycsix.cpython-36.pyc_ccallback.py_ccallback_c.cpython-36m-powerpc64le-linux-gnu.so_fpumode.cpython-36m-powerpc64le-linux-gnu.so_gcutils.py_numpy_compat.py_test_ccallback.cpython-36m-powerpc64le-linux-gnu.so_testutils.py_threadsafety.py_tmpdirs.py_util.py_version.pydecorator.pydoccer.pymessagestream.cpython-36m-powerpc64le-linux-gnu.sosetup.pysix.pytests__init__.pytest__gcutils.pytest__testutils.pytest__threadsafety.pytest__util.pytest__version.pytest_ccallback.pytest_import_cycles.pytest_tmpdirs.pytest_warnings.pycluster__init__.py__pycache____init__.cpython-36.pychierarchy.cpython-36.pycsetup.cpython-36.pycvq.cpython-36.pyc_hierarchy.cpython-36m-powerpc64le-linux-gnu.so_optimal_leaf_ordering.cpython-36m-powerpc64le-linux-gnu.so_vq.cpython-36m-powerpc64le-linux-gnu.sohierarchy.pysetup.pytests__init__.pyhierarchy_test_data.pytest_hierarchy.pytest_vq.pyvq.pyconftest.pyconstants__init__.py__pycache____init__.cpython-36.pyccodata.cpython-36.pycconstants.cpython-36.pycsetup.cpython-36.pyccodata.pyconstants.pysetup.pytests__init__.pytest_codata.pytest_constants.pyfftpack__init__.py__pycache____init__.cpython-36.pycbasic.cpython-36.pychelper.cpython-36.pycpseudo_diffs.cpython-36.pycrealtransforms.cpython-36.pycsetup.cpython-36.pyc_fftpack.cpython-36m-powerpc64le-linux-gnu.sobasic.pyconvolve.cpython-36m-powerpc64le-linux-gnu.sohelper.pypseudo_diffs.pyrealtransforms.pysetup.pytestsMakefile__init__.pyfftw_dct.cfftw_double_ref.npzfftw_single_ref.npzgen_fftw_ref.pygendata.mgendata.pytest.npztest_basic.pytest_helper.pytest_import.pytest_pseudo_diffs.pytest_real_transforms.pyintegrate__init__.py__pycache____init__.cpython-36.pyc_bvp.cpython-36.pyc_ode.cpython-36.pycodepack.cpython-36.pycquadpack.cpython-36.pycquadrature.cpython-36.pycsetup.cpython-36.pyc_bvp.py_dop.cpython-36m-powerpc64le-linux-gnu.so_ivp__init__.py__pycache____init__.cpython-36.pycbase.cpython-36.pycbdf.cpython-36.pyccommon.cpython-36.pycivp.cpython-36.pyclsoda.cpython-36.pycradau.cpython-36.pycrk.cpython-36.pycbase.pybdf.pycommon.pyivp.pylsoda.pyradau.pyrk.py_ode.py_odepack.cpython-36m-powerpc64le-linux-gnu.so_quadpack.cpython-36m-powerpc64le-linux-gnu.so_test_multivariate.cpython-36m-powerpc64le-linux-gnu.so_test_odeint_banded.cpython-36m-powerpc64le-linux-gnu.solsoda.cpython-36m-powerpc64le-linux-gnu.soodepack.pyquadpack.pyquadrature.pysetup.pytests__init__.py_test_multivariate.cbanded5x5.ftest_banded_ode_solvers.pytest_bvp.pytest_integrate.pytest_ivp.pytest_odeint_jac.pytest_quadpack.pytest_quadrature.pyvode.cpython-36m-powerpc64le-linux-gnu.sointerpolate__init__.py__pycache____init__.cpython-36.pyc_bsplines.cpython-36.pyc_cubic.cpython-36.pyc_fitpack_impl.cpython-36.pyc_pade.cpython-36.pycfitpack.cpython-36.pycfitpack2.cpython-36.pycinterpnd_info.cpython-36.pycinterpolate.cpython-36.pycndgriddata.cpython-36.pycpolyint.cpython-36.pycrbf.cpython-36.pycsetup.cpython-36.pyc_bspl.cpython-36m-powerpc64le-linux-gnu.so_bsplines.py_cubic.py_fitpack.cpython-36m-powerpc64le-linux-gnu.so_fitpack_impl.py_pade.py_ppoly.cpython-36m-powerpc64le-linux-gnu.sodfitpack.cpython-36m-powerpc64le-linux-gnu.sofitpack.pyfitpack2.pyinterpnd.cpython-36m-powerpc64le-linux-gnu.sointerpnd_info.pyinterpolate.pyndgriddata.pypolyint.pyrbf.pysetup.pytests__init__.pydatabug-1310.npzestimate_gradients_hang.npytest_bsplines.pytest_fitpack.pytest_fitpack2.pytest_gil.pytest_interpnd.pytest_interpolate.pytest_ndgriddata.pytest_pade.pytest_polyint.pytest_rbf.pytest_regression.pyio__init__.py__pycache____init__.cpython-36.pyc_fortran.cpython-36.pycidl.cpython-36.pycmmio.cpython-36.pycnetcdf.cpython-36.pycsetup.cpython-36.pycwavfile.cpython-36.pyc_fortran.py_test_fortran.cpython-36m-powerpc64le-linux-gnu.soarff__init__.py__pycache____init__.cpython-36.pycarffread.cpython-36.pycsetup.cpython-36.pycarffread.pysetup.pytests__init__.pydatairis.arffmissing.arffnodata.arffquoted_nominal.arffquoted_nominal_spaces.arfftest1.arfftest10.arfftest2.arfftest3.arfftest4.arfftest5.arfftest6.arfftest7.arfftest8.arfftest9.arfftest_arffread.pyharwell_boeing__init__.py__pycache____init__.cpython-36.pyc_fortran_format_parser.cpython-36.pychb.cpython-36.pycsetup.cpython-36.pyc_fortran_format_parser.pyhb.pysetup.pytests__init__.pytest_fortran_format.pytest_hb.pyidl.pymatlab__init__.py__pycache____init__.cpython-36.pycbyteordercodes.cpython-36.pycmio.cpython-36.pycmio4.cpython-36.pycmio5.cpython-36.pycmio5_params.cpython-36.pycmiobase.cpython-36.pycsetup.cpython-36.pycbyteordercodes.pymio.pymio4.pymio5.pymio5_params.pymio5_utils.cpython-36m-powerpc64le-linux-gnu.somio_utils.cpython-36m-powerpc64le-linux-gnu.somiobase.pysetup.pystreams.cpython-36m-powerpc64le-linux-gnu.sotests__init__.pyafunc.mdatabad_miuint32.matbad_miutf8_array_name.matbig_endian.matbroken_utf8.matcorrupted_zlib_checksum.matcorrupted_zlib_data.matjapanese_utf8.txtlittle_endian.matlogical_sparse.matmalformed1.matmiuint32_for_miint32.matmiutf8_array_name.matnasty_duplicate_fieldnames.matone_by_zero_char.matparabola.matsingle_empty_string.matsome_functions.matsqr.mattest3dmatrix_6.1_SOL2.mattest3dmatrix_6.5.1_GLNX86.mattest3dmatrix_7.1_GLNX86.mattest3dmatrix_7.4_GLNX86.mattest_empty_struct.mattest_mat4_le_floats.mattest_skip_variable.mattestbool_8_WIN64.mattestcell_6.1_SOL2.mattestcell_6.5.1_GLNX86.mattestcell_7.1_GLNX86.mattestcell_7.4_GLNX86.mattestcellnest_6.1_SOL2.mattestcellnest_6.5.1_GLNX86.mattestcellnest_7.1_GLNX86.mattestcellnest_7.4_GLNX86.mattestcomplex_4.2c_SOL2.mattestcomplex_6.1_SOL2.mattestcomplex_6.5.1_GLNX86.mattestcomplex_7.1_GLNX86.mattestcomplex_7.4_GLNX86.mattestdouble_4.2c_SOL2.mattestdouble_6.1_SOL2.mattestdouble_6.5.1_GLNX86.mattestdouble_7.1_GLNX86.mattestdouble_7.4_GLNX86.mattestemptycell_5.3_SOL2.mattestemptycell_6.5.1_GLNX86.mattestemptycell_7.1_GLNX86.mattestemptycell_7.4_GLNX86.mattestfunc_7.4_GLNX86.mattesthdf5_7.4_GLNX86.mattestmatrix_4.2c_SOL2.mattestmatrix_6.1_SOL2.mattestmatrix_6.5.1_GLNX86.mattestmatrix_7.1_GLNX86.mattestmatrix_7.4_GLNX86.mattestminus_4.2c_SOL2.mattestminus_6.1_SOL2.mattestminus_6.5.1_GLNX86.mattestminus_7.1_GLNX86.mattestminus_7.4_GLNX86.mattestmulti_4.2c_SOL2.mattestmulti_7.1_GLNX86.mattestmulti_7.4_GLNX86.mattestobject_6.1_SOL2.mattestobject_6.5.1_GLNX86.mattestobject_7.1_GLNX86.mattestobject_7.4_GLNX86.mattestonechar_4.2c_SOL2.mattestonechar_6.1_SOL2.mattestonechar_6.5.1_GLNX86.mattestonechar_7.1_GLNX86.mattestonechar_7.4_GLNX86.mattestscalarcell_7.4_GLNX86.mattestsparse_4.2c_SOL2.mattestsparse_6.1_SOL2.mattestsparse_6.5.1_GLNX86.mattestsparse_7.1_GLNX86.mattestsparse_7.4_GLNX86.mattestsparsecomplex_4.2c_SOL2.mattestsparsecomplex_6.1_SOL2.mattestsparsecomplex_6.5.1_GLNX86.mattestsparsecomplex_7.1_GLNX86.mattestsparsecomplex_7.4_GLNX86.mattestsparsefloat_7.4_GLNX86.matteststring_4.2c_SOL2.matteststring_6.1_SOL2.matteststring_6.5.1_GLNX86.matteststring_7.1_GLNX86.matteststring_7.4_GLNX86.matteststringarray_4.2c_SOL2.matteststringarray_6.1_SOL2.matteststringarray_6.5.1_GLNX86.matteststringarray_7.1_GLNX86.matteststringarray_7.4_GLNX86.matteststruct_6.1_SOL2.matteststruct_6.5.1_GLNX86.matteststruct_7.1_GLNX86.matteststruct_7.4_GLNX86.matteststructarr_6.1_SOL2.matteststructarr_6.5.1_GLNX86.matteststructarr_7.1_GLNX86.matteststructarr_7.4_GLNX86.matteststructnest_6.1_SOL2.matteststructnest_6.5.1_GLNX86.matteststructnest_7.1_GLNX86.matteststructnest_7.4_GLNX86.mattestunicode_7.1_GLNX86.mattestunicode_7.4_GLNX86.mattestvec_4_GLNX86.matgen_mat4files.mgen_mat5files.msave_matfile.mtest_byteordercodes.pytest_mio.pytest_mio5_utils.pytest_mio_funcs.pytest_mio_utils.pytest_miobase.pytest_pathological.pytest_streams.pymmio.pynetcdf.pysetup.pytests__init__.pydataarray_float32_1d.savarray_float32_2d.savarray_float32_3d.savarray_float32_4d.savarray_float32_5d.savarray_float32_6d.savarray_float32_7d.savarray_float32_8d.savarray_float32_pointer_1d.savarray_float32_pointer_2d.savarray_float32_pointer_3d.savarray_float32_pointer_4d.savarray_float32_pointer_5d.savarray_float32_pointer_6d.savarray_float32_pointer_7d.savarray_float32_pointer_8d.savexample_1.ncexample_2.ncexample_3_maskedvals.ncfortran-3x3d-2i.datfortran-mixed.datfortran-sf8-11x1x10.datfortran-sf8-15x10x22.datfortran-sf8-1x1x1.datfortran-sf8-1x1x5.datfortran-sf8-1x1x7.datfortran-sf8-1x3x5.datfortran-si4-11x1x10.datfortran-si4-15x10x22.datfortran-si4-1x1x1.datfortran-si4-1x1x5.datfortran-si4-1x1x7.datfortran-si4-1x3x5.datinvalid_pointer.savnull_pointer.savscalar_byte.savscalar_byte_descr.savscalar_complex32.savscalar_complex64.savscalar_float32.savscalar_float64.savscalar_heap_pointer.savscalar_int16.savscalar_int32.savscalar_int64.savscalar_string.savscalar_uint16.savscalar_uint32.savscalar_uint64.savstruct_arrays.savstruct_arrays_byte_idl80.savstruct_arrays_replicated.savstruct_arrays_replicated_3d.savstruct_inherit.savstruct_pointer_arrays.savstruct_pointer_arrays_replicated.savstruct_pointer_arrays_replicated_3d.savstruct_pointers.savstruct_pointers_replicated.savstruct_pointers_replicated_3d.savstruct_scalars.savstruct_scalars_replicated.savstruct_scalars_replicated_3d.savtest-44100Hz-2ch-32bit-float-be.wavtest-44100Hz-2ch-32bit-float-le.wavtest-44100Hz-le-1ch-4bytes-early-eof.wavtest-44100Hz-le-1ch-4bytes-incomplete-chunk.wavtest-44100Hz-le-1ch-4bytes.wavtest-48000Hz-2ch-64bit-float-le-wavex.wavtest-8000Hz-le-2ch-1byteu.wavvarious_compressed.savtest_fortran.pytest_idl.pytest_mmio.pytest_netcdf.pytest_paths.pytest_wavfile.pywavfile.pylinalglinalg.pxd__init__.py__pycache____init__.cpython-36.pyc_cython_signature_generator.cpython-36.pyc_decomp_ldl.cpython-36.pyc_decomp_polar.cpython-36.pyc_decomp_qz.cpython-36.pyc_expm_frechet.cpython-36.pyc_generate_pyx.cpython-36.pyc_interpolative_backend.cpython-36.pyc_matfuncs_inv_ssq.cpython-36.pyc_matfuncs_sqrtm.cpython-36.pyc_procrustes.cpython-36.pyc_sketches.cpython-36.pyc_solvers.cpython-36.pyc_testutils.cpython-36.pycbasic.cpython-36.pycblas.cpython-36.pycdecomp.cpython-36.pycdecomp_cholesky.cpython-36.pycdecomp_lu.cpython-36.pycdecomp_qr.cpython-36.pycdecomp_schur.cpython-36.pycdecomp_svd.cpython-36.pycflinalg.cpython-36.pycinterpolative.cpython-36.pyclapack.cpython-36.pyclinalg_version.cpython-36.pycmatfuncs.cpython-36.pycmisc.cpython-36.pycsetup.cpython-36.pycspecial_matrices.cpython-36.pyc_cython_signature_generator.py_decomp_ldl.py_decomp_polar.py_decomp_qz.py_decomp_update.cpython-36m-powerpc64le-linux-gnu.so_expm_frechet.py_fblas.cpython-36m-powerpc64le-linux-gnu.so_flapack.cpython-36m-powerpc64le-linux-gnu.so_flinalg.cpython-36m-powerpc64le-linux-gnu.so_generate_pyx.py_interpolative.cpython-36m-powerpc64le-linux-gnu.so_interpolative_backend.py_matfuncs_inv_ssq.py_matfuncs_sqrtm.py_procrustes.py_sketches.py_solve_toeplitz.cpython-36m-powerpc64le-linux-gnu.so_solvers.py_testutils.pybasic.pyblas.pycython_blas.cpython-36m-powerpc64le-linux-gnu.socython_blas.pxdcython_lapack.cpython-36m-powerpc64le-linux-gnu.socython_lapack.pxddecomp.pydecomp_cholesky.pydecomp_lu.pydecomp_qr.pydecomp_schur.pydecomp_svd.pyflinalg.pyinterpolative.pylapack.pylinalg_version.pymatfuncs.pymisc.pysetup.pyspecial_matrices.pysrcid_distdocdoc.texlapack_deprecationsLICENSEtests__init__.pydatacarex_15_data.npzcarex_18_data.npzcarex_19_data.npzcarex_20_data.npzcarex_6_data.npzgendare_20170120_data.npztest_basic.pytest_blas.pytest_build.pytest_cython_blas.pytest_cython_lapack.pytest_decomp.pytest_decomp_cholesky.pytest_decomp_ldl.pytest_decomp_polar.pytest_decomp_update.pytest_fblas.pytest_interpolative.pytest_lapack.pytest_matfuncs.pytest_procrustes.pytest_sketches.pytest_solve_toeplitz.pytest_solvers.pytest_special_matrices.pymisc__init__.py__pycache____init__.cpython-36.pyccommon.cpython-36.pycdoccer.cpython-36.pycsetup.cpython-36.pycascent.datcommon.pydoccer.pyecg.datface.datsetup.pytests__init__.pytest_common.pytest_doccer.pyndimage__init__.py__pycache____init__.cpython-36.pyc_ni_docstrings.cpython-36.pyc_ni_support.cpython-36.pycfilters.cpython-36.pycfourier.cpython-36.pycinterpolation.cpython-36.pycmeasurements.cpython-36.pycmorphology.cpython-36.pycsetup.cpython-36.pyc_ctest.cpython-36m-powerpc64le-linux-gnu.so_ctest_oldapi.cpython-36m-powerpc64le-linux-gnu.so_cytest.cpython-36m-powerpc64le-linux-gnu.so_nd_image.cpython-36m-powerpc64le-linux-gnu.so_ni_docstrings.py_ni_label.cpython-36m-powerpc64le-linux-gnu.so_ni_support.pyfilters.pyfourier.pyinterpolation.pymeasurements.pymorphology.pysetup.pytests__init__.pydataREADME.txtlabel_inputs.txtlabel_results.txtlabel_strels.txtdots.pngtest_c_api.pytest_datatypes.pytest_filters.pytest_measurements.pytest_morphology.pytest_ndimage.pytest_regression.pytest_splines.pyodr__init__.py__odrpack.cpython-36m-powerpc64le-linux-gnu.so__pycache____init__.cpython-36.pycadd_newdocs.cpython-36.pycmodels.cpython-36.pycodrpack.cpython-36.pycsetup.cpython-36.pycadd_newdocs.pymodels.pyodrpack.pysetup.pytests__init__.pytest_odr.pyoptimizeoptimize.pxd__init__.py__pycache____init__.cpython-36.pyc_basinhopping.cpython-36.pyc_constraints.cpython-36.pyc_differentiable_functions.cpython-36.pyc_differentialevolution.cpython-36.pyc_dual_annealing.cpython-36.pyc_hessian_update_strategy.cpython-36.pyc_hungarian.cpython-36.pyc_linprog.cpython-36.pyc_linprog_ip.cpython-36.pyc_linprog_rs.cpython-36.pyc_linprog_simplex.cpython-36.pyc_linprog_util.cpython-36.pyc_minimize.cpython-36.pyc_numdiff.cpython-36.pyc_remove_redundancy.cpython-36.pyc_root.cpython-36.pyc_root_scalar.cpython-36.pyc_shgo.cpython-36.pyc_spectral.cpython-36.pyc_trustregion.cpython-36.pyc_trustregion_dogleg.cpython-36.pyc_trustregion_exact.cpython-36.pyc_trustregion_krylov.cpython-36.pyc_trustregion_ncg.cpython-36.pyc_tstutils.cpython-36.pyccobyla.cpython-36.pyclbfgsb.cpython-36.pyclinesearch.cpython-36.pycminpack.cpython-36.pycnnls.cpython-36.pycnonlin.cpython-36.pycoptimize.cpython-36.pycsetup.cpython-36.pycslsqp.cpython-36.pyctnc.cpython-36.pyczeros.cpython-36.pyc_basinhopping.py_bglu_dense.cpython-36m-powerpc64le-linux-gnu.so_cobyla.cpython-36m-powerpc64le-linux-gnu.so_constraints.py_differentiable_functions.py_differentialevolution.py_dual_annealing.py_group_columns.cpython-36m-powerpc64le-linux-gnu.so_hessian_update_strategy.py_hungarian.py_lbfgsb.cpython-36m-powerpc64le-linux-gnu.so_linprog.py_linprog_ip.py_linprog_rs.py_linprog_simplex.py_linprog_util.py_lsq__init__.py__pycache____init__.cpython-36.pycbvls.cpython-36.pyccommon.cpython-36.pycdogbox.cpython-36.pycleast_squares.cpython-36.pyclsq_linear.cpython-36.pycsetup.cpython-36.pyctrf.cpython-36.pyctrf_linear.cpython-36.pycbvls.pycommon.pydogbox.pygivens_elimination.cpython-36m-powerpc64le-linux-gnu.soleast_squares.pylsq_linear.pysetup.pytrf.pytrf_linear.py_minimize.py_minpack.cpython-36m-powerpc64le-linux-gnu.so_nnls.cpython-36m-powerpc64le-linux-gnu.so_numdiff.py_remove_redundancy.py_root.py_root_scalar.py_shgo.py_shgo_lib__init__.py__pycache____init__.cpython-36.pycsobol_seq.cpython-36.pyctriangulation.cpython-36.pycsobol_seq.pysobol_vec.gztriangulation.py_slsqp.cpython-36m-powerpc64le-linux-gnu.so_spectral.py_trlib__init__.py__pycache____init__.cpython-36.pycsetup.cpython-36.pyc_trlib.cpython-36m-powerpc64le-linux-gnu.sosetup.py_trustregion.py_trustregion_constr__init__.py__pycache____init__.cpython-36.pyccanonical_constraint.cpython-36.pycequality_constrained_sqp.cpython-36.pycminimize_trustregion_constr.cpython-36.pycprojections.cpython-36.pycqp_subproblem.cpython-36.pycreport.cpython-36.pycsetup.cpython-36.pyctr_interior_point.cpython-36.pyccanonical_constraint.pyequality_constrained_sqp.pyminimize_trustregion_constr.pyprojections.pyqp_subproblem.pyreport.pysetup.pytests__init__.pytest_canonical_constraint.pytest_projections.pytest_qp_subproblem.pytr_interior_point.py_trustregion_dogleg.py_trustregion_exact.py_trustregion_krylov.py_trustregion_ncg.py_tstutils.py_zeros.cpython-36m-powerpc64le-linux-gnu.socobyla.pycython_optimizecython_optimize.pxd__init__.py__pycache____init__.cpython-36.pyc_zeros.cpython-36m-powerpc64le-linux-gnu.so_zeros.pxdc_zeros.pxdlbfgsb.pylbfgsb_srcREADMElinesearch.pyminpack.pyminpack2.cpython-36m-powerpc64le-linux-gnu.somoduleTNC.cpython-36m-powerpc64le-linux-gnu.sonnls.pynonlin.pyoptimize.pysetup.pyslsqp.pytests__init__.pytest__basinhopping.pytest__differential_evolution.pytest__dual_annealing.pytest__linprog_clean_inputs.pytest__numdiff.pytest__remove_redundancy.pytest__root.pytest__shgo.pytest__spectral.pytest_cobyla.pytest_constraint_conversion.pytest_constraints.pytest_cython_optimize.pytest_differentiable_functions.pytest_hessian_update_strategy.pytest_hungarian.pytest_lbfgsb_hessinv.pytest_least_squares.pytest_linesearch.pytest_linprog.pytest_lsq_common.pytest_lsq_linear.pytest_minimize_constrained.pytest_minpack.pytest_nnls.pytest_nonlin.pytest_optimize.pytest_regression.pytest_slsqp.pytest_tnc.pytest_trustregion.pytest_trustregion_exact.pytest_trustregion_krylov.pytest_zeros.pytnc.pyzeros.pysetup.pysignal__init__.py__pycache____init__.cpython-36.pyc_arraytools.cpython-36.pyc_max_len_seq.cpython-36.pyc_peak_finding.cpython-36.pyc_savitzky_golay.cpython-36.pyc_upfirdn.cpython-36.pycbsplines.cpython-36.pycfilter_design.cpython-36.pycfir_filter_design.cpython-36.pyclti_conversion.cpython-36.pycltisys.cpython-36.pycsetup.cpython-36.pycsignaltools.cpython-36.pycspectral.cpython-36.pycwaveforms.cpython-36.pycwavelets.cpython-36.pyc_arraytools.py_max_len_seq.py_max_len_seq_inner.cpython-36m-powerpc64le-linux-gnu.so_peak_finding.py_peak_finding_utils.cpython-36m-powerpc64le-linux-gnu.so_savitzky_golay.py_spectral.cpython-36m-powerpc64le-linux-gnu.so_upfirdn.py_upfirdn_apply.cpython-36m-powerpc64le-linux-gnu.sobsplines.pyfilter_design.pyfir_filter_design.pylti_conversion.pyltisys.pysetup.pysignaltools.pysigtools.cpython-36m-powerpc64le-linux-gnu.sospectral.pyspline.cpython-36m-powerpc64le-linux-gnu.sotests__init__.pympsig.pytest_array_tools.pytest_bsplines.pytest_cont2discrete.pytest_dltisys.pytest_filter_design.pytest_fir_filter_design.pytest_ltisys.pytest_max_len_seq.pytest_peak_finding.pytest_savitzky_golay.pytest_signaltools.pytest_spectral.pytest_upfirdn.pytest_waveforms.pytest_wavelets.pytest_windows.pywaveforms.pywavelets.pywindows__init__.py__pycache____init__.cpython-36.pycsetup.cpython-36.pycwindows.cpython-36.pycsetup.pywindows.pysparse__init__.py__pycache____init__.cpython-36.pyc_index.cpython-36.pyc_matrix_io.cpython-36.pycbase.cpython-36.pycbsr.cpython-36.pyccompressed.cpython-36.pycconstruct.cpython-36.pyccoo.cpython-36.pyccsc.cpython-36.pyccsr.cpython-36.pycdata.cpython-36.pycdia.cpython-36.pycdok.cpython-36.pycextract.cpython-36.pycgenerate_sparsetools.cpython-36.pyclil.cpython-36.pycsetup.cpython-36.pycsparsetools.cpython-36.pycspfuncs.cpython-36.pycsputils.cpython-36.pyc_csparsetools.cpython-36m-powerpc64le-linux-gnu.so_index.py_matrix_io.py_sparsetools.cpython-36m-powerpc64le-linux-gnu.sobase.pybsr.pycompressed.pyconstruct.pycoo.pycsc.pycsgraph__init__.py__pycache____init__.cpython-36.pyc_laplacian.cpython-36.pyc_validation.cpython-36.pycsetup.cpython-36.pyc_laplacian.py_min_spanning_tree.cpython-36m-powerpc64le-linux-gnu.so_reordering.cpython-36m-powerpc64le-linux-gnu.so_shortest_path.cpython-36m-powerpc64le-linux-gnu.so_tools.cpython-36m-powerpc64le-linux-gnu.so_traversal.cpython-36m-powerpc64le-linux-gnu.so_validation.pysetup.pytests__init__.pytest_connected_components.pytest_conversions.pytest_graph_laplacian.pytest_reordering.pytest_shortest_path.pytest_spanning_tree.pytest_traversal.pycsr.pydata.pydia.pydok.pyextract.pygenerate_sparsetools.pylil.pylinalg__init__.py__pycache____init__.cpython-36.pyc_expm_multiply.cpython-36.pyc_norm.cpython-36.pyc_onenormest.cpython-36.pycinterface.cpython-36.pycmatfuncs.cpython-36.pycsetup.cpython-36.pyc_expm_multiply.py_norm.py_onenormest.pydsolveSuperLULicense.txt__init__.py__pycache____init__.cpython-36.pyc_add_newdocs.cpython-36.pyclinsolve.cpython-36.pycsetup.cpython-36.pyc_add_newdocs.py_superlu.cpython-36m-powerpc64le-linux-gnu.solinsolve.pysetup.pytests__init__.pytest_linsolve.pyeigen__init__.py__pycache____init__.cpython-36.pycsetup.cpython-36.pycarpackARPACKCOPYING__init__.py__pycache____init__.cpython-36.pycarpack.cpython-36.pycsetup.cpython-36.pyc_arpack.cpython-36m-powerpc64le-linux-gnu.soarpack.pysetup.pytests__init__.pytest_arpack.pylobpcg__init__.py__pycache____init__.cpython-36.pyclobpcg.cpython-36.pycsetup.cpython-36.pyclobpcg.pysetup.pytests__init__.pytest_lobpcg.pysetup.pyinterface.pyisolve__init__.py__pycache____init__.cpython-36.pyc_gcrotmk.cpython-36.pyciterative.cpython-36.pyclgmres.cpython-36.pyclsmr.cpython-36.pyclsqr.cpython-36.pycminres.cpython-36.pycsetup.cpython-36.pycutils.cpython-36.pyc_gcrotmk.py_iterative.cpython-36m-powerpc64le-linux-gnu.soiterative.pylgmres.pylsmr.pylsqr.pyminres.pysetup.pytests__init__.pydemo_lgmres.pytest_gcrotmk.pytest_iterative.pytest_lgmres.pytest_lsmr.pytest_lsqr.pytest_minres.pytest_utils.pyutils.pymatfuncs.pysetup.pytests__init__.pytest_expm_multiply.pytest_interface.pytest_matfuncs.pytest_norm.pytest_onenormest.pysetup.pysparsetools.pyspfuncs.pysputils.pytests__init__.pydatacsc_py2.npzcsc_py3.npztest_base.pytest_construct.pytest_csc.pytest_csr.pytest_extract.pytest_matrix_io.pytest_sparsetools.pytest_spfuncs.pytest_sputils.pyspatial__init__.py__pycache____init__.cpython-36.pyc_plotutils.cpython-36.pyc_procrustes.cpython-36.pyc_spherical_voronoi.cpython-36.pycdistance.cpython-36.pyckdtree.cpython-36.pycsetup.cpython-36.pyc_distance_wrap.cpython-36m-powerpc64le-linux-gnu.so_hausdorff.cpython-36m-powerpc64le-linux-gnu.so_plotutils.py_procrustes.py_spherical_voronoi.py_voronoi.cpython-36m-powerpc64le-linux-gnu.sockdtree.cpython-36m-powerpc64le-linux-gnu.sodistance.pykdtree.pyqhull.cpython-36m-powerpc64le-linux-gnu.soqhull_srcCOPYING.txtsetup.pytests__init__.pydatacdist-X1.txtcdist-X2.txtdegenerate_pointset.npziris.txtpdist-boolean-inp.txtpdist-chebyshev-ml-iris.txtpdist-chebyshev-ml.txtpdist-cityblock-ml-iris.txtpdist-cityblock-ml.txtpdist-correlation-ml-iris.txtpdist-correlation-ml.txtpdist-cosine-ml-iris.txtpdist-cosine-ml.txtpdist-double-inp.txtpdist-euclidean-ml-iris.txtpdist-euclidean-ml.txtpdist-hamming-ml.txtpdist-jaccard-ml.txtpdist-jensenshannon-ml-iris.txtpdist-jensenshannon-ml.txtpdist-minkowski-3.2-ml-iris.txtpdist-minkowski-3.2-ml.txtpdist-minkowski-5.8-ml-iris.txtpdist-seuclidean-ml-iris.txtpdist-seuclidean-ml.txtpdist-spearman-ml.txtrandom-bool-data.txtrandom-double-data.txtrandom-int-data.txtrandom-uint-data.txtselfdual-4d-polytope.txttest__plotutils.pytest__procrustes.pytest_distance.pytest_hausdorff.pytest_kdtree.pytest_qhull.pytest_spherical_voronoi.pytransform__init__.py__pycache____init__.cpython-36.pyc_rotation_spline.cpython-36.pycrotation.cpython-36.pycsetup.cpython-36.pyc_rotation_spline.pyrotation.pysetup.pytests__init__.pytest_rotation.pytest_rotation_spline.pyspecialspecial.pxd__init__.py__pycache____init__.cpython-36.pyc_ellip_harm.cpython-36.pyc_generate_pyx.cpython-36.pyc_logsumexp.cpython-36.pyc_mptestutils.cpython-36.pyc_spherical_bessel.cpython-36.pyc_testutils.cpython-36.pycadd_newdocs.cpython-36.pycbasic.cpython-36.pyclambertw.cpython-36.pycorthogonal.cpython-36.pycsetup.cpython-36.pycsf_error.cpython-36.pycspfun_stats.cpython-36.pyc_comb.cpython-36m-powerpc64le-linux-gnu.so_ellip_harm.py_ellip_harm_2.cpython-36m-powerpc64le-linux-gnu.so_generate_pyx.py_logsumexp.py_mptestutils.py_precompute__init__.py__pycache____init__.cpython-36.pycexpn_asy.cpython-36.pycgammainc_asy.cpython-36.pycgammainc_data.cpython-36.pyclambertw.cpython-36.pycloggamma.cpython-36.pycsetup.cpython-36.pycstruve_convergence.cpython-36.pycutils.cpython-36.pyczetac.cpython-36.pycexpn_asy.pygammainc_asy.pygammainc_data.pylambertw.pyloggamma.pysetup.pystruve_convergence.pyutils.pyzetac.py_spherical_bessel.py_test_round.cpython-36m-powerpc64le-linux-gnu.so_testutils.py_ufuncs.cpython-36m-powerpc64le-linux-gnu.so_ufuncs_cxx.cpython-36m-powerpc64le-linux-gnu.soadd_newdocs.pybasic.pycython_special.cpython-36m-powerpc64le-linux-gnu.socython_special.pxdlambertw.pyorthogonal.pysetup.pysf_error.pyspecfun.cpython-36m-powerpc64le-linux-gnu.sospfun_stats.pytests__init__.pydataREADMEboost.npzgsl.npzlocal.npztest_basic.pytest_boxcox.pytest_cdflib.pytest_cython_special.pytest_data.pytest_digamma.pytest_ellip_harm.pytest_gammainc.pytest_kolmogorov.pytest_lambertw.pytest_loggamma.pytest_logit.pytest_logsumexp.pytest_mpmath.pytest_nan_inputs.pytest_orthogonal.pytest_orthogonal_eval.pytest_owens_t.pytest_pcf.pytest_precompute_expn_asy.pytest_precompute_gammainc.pytest_precompute_utils.pytest_round.pytest_sf_error.pytest_sici.pytest_spence.pytest_spfun_stats.pytest_sph_harm.pytest_spherical_bessel.pytest_trig.pytest_wrightomega.pytest_zeta.pystats__init__.py__pycache____init__.cpython-36.pyc_binned_statistic.cpython-36.pyc_constants.cpython-36.pyc_continuous_distns.cpython-36.pyc_discrete_distns.cpython-36.pyc_distn_infrastructure.cpython-36.pyc_distr_params.cpython-36.pyc_hypotests.cpython-36.pyc_multivariate.cpython-36.pyc_rvs_sampling.cpython-36.pyc_stats_mstats_common.cpython-36.pyc_tukeylambda_stats.cpython-36.pyccontingency.cpython-36.pycdistributions.cpython-36.pyckde.cpython-36.pycmorestats.cpython-36.pycmstats.cpython-36.pycmstats_basic.cpython-36.pycmstats_extras.cpython-36.pycsetup.cpython-36.pycstats.cpython-36.pycvonmises.cpython-36.pyc_binned_statistic.py_constants.py_continuous_distns.py_discrete_distns.py_distn_infrastructure.py_distr_params.py_hypotests.py_multivariate.py_rvs_sampling.py_stats.cpython-36m-powerpc64le-linux-gnu.so_stats_mstats_common.py_tukeylambda_stats.pycontingency.pydistributions.pykde.pymorestats.pymstats.pymstats_basic.pymstats_extras.pymvn.cpython-36m-powerpc64le-linux-gnu.sosetup.pystatlib.cpython-36m-powerpc64le-linux-gnu.sostats.pytests__init__.pycommon_tests.pydatanist_anovaAtmWtAg.datSiRstv.datSmLs01.datSmLs02.datSmLs03.datSmLs04.datSmLs05.datSmLs06.datSmLs07.datSmLs08.datSmLs09.datnist_linregressNorris.datstable-cdf-sample-data.npystable-pdf-sample-data.npytest_binned_statistic.pytest_contingency.pytest_continuous_basic.pytest_discrete_basic.pytest_discrete_distns.pytest_distributions.pytest_fit.pytest_kdeoth.pytest_morestats.pytest_mstats_basic.pytest_mstats_extras.pytest_multivariate.pytest_rank.pytest_stats.pytest_tukeylambda_stats.pyvonmises.pyversion.pypython3-scipyLICENSE.txt/usr/lib64/python3.6/site-packages//usr/lib64/python3.6/site-packages/scipy-1.3.3-py3.6.egg-info//usr/lib64/python3.6/site-packages/scipy//usr/lib64/python3.6/site-packages/scipy/__pycache__//usr/lib64/python3.6/site-packages/scipy/_build_utils//usr/lib64/python3.6/site-packages/scipy/_build_utils/__pycache__//usr/lib64/python3.6/site-packages/scipy/_lib//usr/lib64/python3.6/site-packages/scipy/_lib/__pycache__//usr/lib64/python3.6/site-packages/scipy/_lib/tests//usr/lib64/python3.6/site-packages/scipy/cluster//usr/lib64/python3.6/site-packages/scipy/cluster/__pycache__//usr/lib64/python3.6/site-packages/scipy/cluster/tests//usr/lib64/python3.6/site-packages/scipy/constants//usr/lib64/python3.6/site-packages/scipy/constants/__pycache__//usr/lib64/python3.6/site-packages/scipy/constants/tests//usr/lib64/python3.6/site-packages/scipy/fftpack//usr/lib64/python3.6/site-packages/scipy/fftpack/__pycache__//usr/lib64/python3.6/site-packages/scipy/fftpack/tests//usr/lib64/python3.6/site-packages/scipy/integrate//usr/lib64/python3.6/site-packages/scipy/integrate/__pycache__//usr/lib64/python3.6/site-packages/scipy/integrate/_ivp//usr/lib64/python3.6/site-packages/scipy/integrate/_ivp/__pycache__//usr/lib64/python3.6/site-packages/scipy/integrate/tests//usr/lib64/python3.6/site-packages/scipy/interpolate//usr/lib64/python3.6/site-packages/scipy/interpolate/__pycache__//usr/lib64/python3.6/site-packages/scipy/interpolate/tests//usr/lib64/python3.6/site-packages/scipy/interpolate/tests/data//usr/lib64/python3.6/site-packages/scipy/io//usr/lib64/python3.6/site-packages/scipy/io/__pycache__//usr/lib64/python3.6/site-packages/scipy/io/arff//usr/lib64/python3.6/site-packages/scipy/io/arff/__pycache__//usr/lib64/python3.6/site-packages/scipy/io/arff/tests//usr/lib64/python3.6/site-packages/scipy/io/arff/tests/data//usr/lib64/python3.6/site-packages/scipy/io/harwell_boeing//usr/lib64/python3.6/site-packages/scipy/io/harwell_boeing/__pycache__//usr/lib64/python3.6/site-packages/scipy/io/harwell_boeing/tests//usr/lib64/python3.6/site-packages/scipy/io/matlab//usr/lib64/python3.6/site-packages/scipy/io/matlab/__pycache__//usr/lib64/python3.6/site-packages/scipy/io/matlab/tests//usr/lib64/python3.6/site-packages/scipy/io/matlab/tests/data//usr/lib64/python3.6/site-packages/scipy/io/tests//usr/lib64/python3.6/site-packages/scipy/io/tests/data//usr/lib64/python3.6/site-packages/scipy/linalg//usr/lib64/python3.6/site-packages/scipy/linalg/__pycache__//usr/lib64/python3.6/site-packages/scipy/linalg/src//usr/lib64/python3.6/site-packages/scipy/linalg/src/id_dist//usr/lib64/python3.6/site-packages/scipy/linalg/src/id_dist/doc//usr/lib64/python3.6/site-packages/scipy/linalg/src/lapack_deprecations//usr/lib64/python3.6/site-packages/scipy/linalg/tests//usr/lib64/python3.6/site-packages/scipy/linalg/tests/data//usr/lib64/python3.6/site-packages/scipy/misc//usr/lib64/python3.6/site-packages/scipy/misc/__pycache__//usr/lib64/python3.6/site-packages/scipy/misc/tests//usr/lib64/python3.6/site-packages/scipy/ndimage//usr/lib64/python3.6/site-packages/scipy/ndimage/__pycache__//usr/lib64/python3.6/site-packages/scipy/ndimage/tests//usr/lib64/python3.6/site-packages/scipy/ndimage/tests/data//usr/lib64/python3.6/site-packages/scipy/odr//usr/lib64/python3.6/site-packages/scipy/odr/__pycache__//usr/lib64/python3.6/site-packages/scipy/odr/tests//usr/lib64/python3.6/site-packages/scipy/optimize//usr/lib64/python3.6/site-packages/scipy/optimize/__pycache__//usr/lib64/python3.6/site-packages/scipy/optimize/_lsq//usr/lib64/python3.6/site-packages/scipy/optimize/_lsq/__pycache__//usr/lib64/python3.6/site-packages/scipy/optimize/_shgo_lib//usr/lib64/python3.6/site-packages/scipy/optimize/_shgo_lib/__pycache__//usr/lib64/python3.6/site-packages/scipy/optimize/_trlib//usr/lib64/python3.6/site-packages/scipy/optimize/_trlib/__pycache__//usr/lib64/python3.6/site-packages/scipy/optimize/_trustregion_constr//usr/lib64/python3.6/site-packages/scipy/optimize/_trustregion_constr/__pycache__//usr/lib64/python3.6/site-packages/scipy/optimize/_trustregion_constr/tests//usr/lib64/python3.6/site-packages/scipy/optimize/cython_optimize//usr/lib64/python3.6/site-packages/scipy/optimize/cython_optimize/__pycache__//usr/lib64/python3.6/site-packages/scipy/optimize/lbfgsb_src//usr/lib64/python3.6/site-packages/scipy/optimize/tests//usr/lib64/python3.6/site-packages/scipy/signal//usr/lib64/python3.6/site-packages/scipy/signal/__pycache__//usr/lib64/python3.6/site-packages/scipy/signal/tests//usr/lib64/python3.6/site-packages/scipy/signal/windows//usr/lib64/python3.6/site-packages/scipy/signal/windows/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse//usr/lib64/python3.6/site-packages/scipy/sparse/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/csgraph//usr/lib64/python3.6/site-packages/scipy/sparse/csgraph/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/csgraph/tests//usr/lib64/python3.6/site-packages/scipy/sparse/linalg//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/dsolve//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/dsolve/SuperLU//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/dsolve/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/dsolve/tests//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/ARPACK//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/arpack/tests//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/eigen/lobpcg/tests//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/isolve//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/isolve/__pycache__//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/isolve/tests//usr/lib64/python3.6/site-packages/scipy/sparse/linalg/tests//usr/lib64/python3.6/site-packages/scipy/sparse/tests//usr/lib64/python3.6/site-packages/scipy/sparse/tests/data//usr/lib64/python3.6/site-packages/scipy/spatial//usr/lib64/python3.6/site-packages/scipy/spatial/__pycache__//usr/lib64/python3.6/site-packages/scipy/spatial/qhull_src//usr/lib64/python3.6/site-packages/scipy/spatial/tests//usr/lib64/python3.6/site-packages/scipy/spatial/tests/data//usr/lib64/python3.6/site-packages/scipy/spatial/transform//usr/lib64/python3.6/site-packages/scipy/spatial/transform/__pycache__//usr/lib64/python3.6/site-packages/scipy/spatial/transform/tests//usr/lib64/python3.6/site-packages/scipy/special//usr/lib64/python3.6/site-packages/scipy/special/__pycache__//usr/lib64/python3.6/site-packages/scipy/special/_precompute//usr/lib64/python3.6/site-packages/scipy/special/_precompute/__pycache__//usr/lib64/python3.6/site-packages/scipy/special/tests//usr/lib64/python3.6/site-packages/scipy/special/tests/data//usr/lib64/python3.6/site-packages/scipy/stats//usr/lib64/python3.6/site-packages/scipy/stats/__pycache__//usr/lib64/python3.6/site-packages/scipy/stats/tests//usr/lib64/python3.6/site-packages/scipy/stats/tests/data//usr/lib64/python3.6/site-packages/scipy/stats/tests/data/nist_anova//usr/lib64/python3.6/site-packages/scipy/stats/tests/data/nist_linregress//usr/share/licenses//usr/share/licenses/python3-scipy/-fmessage-length=0 -grecord-gcc-switches -O2 -Wall -D_FORTIFY_SOURCE=2 -fstack-protector-strong -funwind-tables -fasynchronous-unwind-tables -fstack-clash-protection -gobs://build.suse.de/SUSE:Maintenance:29836/SUSE_SLE-15-SP2_Update/4c0ba764603295a06baf3ff22d50009f-python-scipy.SUSE_SLE-15-SP2_Update:standarddrpmxz5ppc64le-suse-linux         ! " #$%   &'()*+,-"./  01234 56 789:;<= >?@ ABCD EFGH IJ  KLMNOPQ RST U  V   WXYZ[ """"""""""""""""""""""""" \] ^_`ab  cde directoryASCII textUTF-8 Unicode textPython script, ASCII text executablepython 3.6 byte-compiledELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=39f87c816b8732777e471a6e62d29451e24bcb5c, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=384c432460c94ae0a215d4b832276da214ce7872, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=66f2d8f6f77b3af608535c89a1c9cd4d58c09643, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=079ac8a405f089aa68912abfdccedf934b393392, strippedemptyELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=8191de96f9f43c7e73f3112b180d5cc99243da75, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=cb5fb53b6bddb4ec4b44a200928399da8c0a4ab7, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=c09319b184f6dc309a87cdf48944acdecc7fbdf5, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=155f37d45e9941c54c7abf798f243a4ee969029f, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=cce2e7169318d5413b875dd49ab7d2b2e5f22e31, strippedC source, ASCII textdata (Zip archive data, at least v2.0 to extract Zip archive data, at least v2.0 to extract)ELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=d65f89e3c4824516263730c7707bd082af01fba7, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=0e02084f789faae0fa41ea0931b9625f38de2219, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=81e57026361e402869af85f7e65f3e11b80741dd, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=ca132ede9cf4dcd389e8d7d0ba08686528596f91, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=020e98d155e84f48912e109d410e0cf1215d3c04, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=cd6f1169b4f82f8c90131fabd5a4836f6b68b6e7, strippedPython script, ASCII text executable, with very long linesFORTRAN program, ASCII textELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=5b418a3b3f8ddbac751ffe4979d25d8948615778, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=c384c7943fe9c05f10c19aae86bef73a45e21820, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=2a99a665ec0432c3d0ae2c5eb44bafed3b8171bb, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=f670315e2670683a6ac18d22b25efa06d87ff7c8, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=c11e42137b45d0194e3629e02e263ef403b1eb4d, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=b384ac3da83d0c7c8f2f02c710404b850241a909, strippedPython script, UTF-8 Unicode text executableELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=7f0c8b6fad4508a07a7ca751588c4950a5354f89, strippedASCII text, with very long linesELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=39eb9b3fe58ffe3729479db5cdbd86f03508a779, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=828e636a3e419e624d9ac5eb73539e892df575fa, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=4e7ab6cca5422f42f608ff3d0b6f6b63cb4e2890, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=1708e622c91879c2dea58efdcf8aab58cf9214d8, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=087aa5589ea3a197961e7dc571e09d83029936a2, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=98199e69b8ed17861a77661e3321bf9e4c9147fb, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=5e3a10a34d6f2bb0ff0e65ae4769e4fb9992b7c9, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=808c402e45d505eff2a516fef73b88a9d0498eb7, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=3f41ded6c664d937a80f383fd1565d6794b68e04, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=59d653134f50ba6bb2fc8336b527f6e25e67885d, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=b095d917bb8c8019a09fc48b4e2b23276495e11f, strippedLaTeX document, ASCII textLaTeX 2e document, ASCII textELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=11d9baa59a628efc2847e265dcf9bb2d7f85acb2, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=cb00e649d24ac664160a57cf2cf0dc2bdaeb27f8, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=231b2751293cd8cb263ea4deee325f72cfd50345, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=486f93f71874d3b0482c4349320b5095699cbf37, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=6a75e4d5ab13ccf196bb2cef596771aeca378570, strippedPNG image data, 420 x 300, 8-bit/color RGB, non-interlacedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=3f57dda81433f9a6619ae703a72d0db4abb24559, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=3ead317d3d908532f43ee5652cb8510021ceac97, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=e18ade87ddcff9b1cfcfcabb5155275a99646e19, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=0ca7a0db35df6393f009291123cde1dfdcbd4bb2, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=791ed5ee90907badf0b4d651eebe7b1338e612f1, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=7beef0d37aec4bbdc6645d8c49f01e1cd5b3abe7, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=e55a3064c369136c7a40f6394d91e2e7e61b82f6, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=1579383e08bed1acd2d13652dae06ae2091c84b6, strippedASCII text (gzip compressed data, was "sobol_vec", last modified: Tue Oct 24 08:19:29 2017, from Unix)ELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=bf5df0ee74676993d2b3f724d9ebb7edf936ffee, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=55303a54b2e715a736bc048408a27159bdfbc1bd, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=77db25aa48332bcd041c2d93a10b7e7d58396261, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=f356ad6b1754f501bbd0b8f96357c64422936cbe, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=5e1c274b75d449dc71a38216696e7905ec72c92a, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=bf313e4e73e1c313cec827f46cee57d713af4541, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=854073c29c5051548c5d4d85cfb6bad52b06a5a9, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=8b6a46771cb710a135163ab5c5ac596610626b82, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=df0fbf556480a9f8e73595802235373c3edcc329, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=b5d24564207421a457fa036bb39ed56103607b42, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=bde312ead857be2d677796f0dd7372a89ef9a274, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=c2ddcee37ef50f44fb34056692bab0d2fddff03d, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=1d02017b3b6a59172689236acf813f3fb15e3ebf, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=86740c16ed804f3e7eb9becad9914ed5d3c403dd, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=e039c38b657a05ac732eee59dbb18c087c4a47f5, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=7266932c64a2e9cfc65ad394cfdbabe5557256ea, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=a16852100baa2ccda5b66b0d0beaaf9bef7aaaea, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=e28a5e0b659654a73e41909f486a368704e76ceb, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=53964c40bbe7ecac4b932aa3b5f2966c4cbf1b51, strippedAlgol 68 source, ASCII textObjective-C source, ASCII textELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=4cad4fdf31df6a9eba7435c3a6c2c638aeb64fa2, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=6d7eaaca264f8c932f088309409a9b6c20ba8655, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=388c2b64103782403f58c8fc7118e60f8a209400, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=1b29c7503912613b2ff283b04947672356901ed2, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=4d25fb5e6ed1813946ca487edabaccad788e48a9, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=e41a5cebd9feab33bebe25d25182d31c8b7a9e80, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=fccdb5c7340ad74bc8c01f76118389e2352958bf, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=7f485d7e7b18c157bd9885c25443e734e477c4a5, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=9067ca0984cde8b47f37d8b99908af24b5f09605, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=c9d30cc41928c9ecaf167bb48ef16e6ebc750fad, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=d05d55f60287af535ce40af7fc7b928a9fc2a0ba, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=2817b909f4b724f2d66dc8378b2c6bbaefc0a05a, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=ec47f1d86af4f6aeab169aeb8038061e00b9af92, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=61d356e05c48a43e3db83ac1c735e18fb186d4db, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=2e6f7ce020f2e4ead2e6547c1ad4abd99aad9f65, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=25893b94a9155b96e0590f50b6219723a7cb1df0, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=e8d7c9d93d21c0b32b5852ef7c11f7263bc2ea95, strippedELF 64-bit LSB shared object, 64-bit PowerPC or cisco 7500, version 1 (SYSV), dynamically linked, BuildID[sha1]=25c7d346f08964b09b349d62799cacfd104ce5ae, stripped #()*12345678=>?@ABCDEFGHIJKLMNSX^_`abcdefghijklmnopqrstuvwx~  '()./0123456789:;<=>?@ABCDEFGHIOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqv{|}      !"#$%&',16=>CDEFGHIJKLMNOPQRST_`abcdefghijklmnopqrstuvwxyz{|}~     #()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefklqrwx}~      !"#$%&'()23456789:;<=>?@ABCDEFGHIJKRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~ *+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklqrstuvwxyz           RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRR RRRRRRRR RRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRR RRRRR RRRR RR RRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRR RRRR RRR RRRRRRRRRRRRRRRRRRRRRRRR RR RRR RRRRRRRRRRRRRRRRRRRR RRR R RRR RRRRR RR R RRR RRRRRR RRR RRR R RRR RRRR RRR R RRR RRRRRRRRRRRRRRRR RRR R RRR RRRRRRRRRRRRRRRRRRRRRRRR RR RRR RRRRRR RR RRR RR RRR RRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRR RRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRR RRRRR RRRRR RRRRRR R R RRR RRRRRRRRRR RRRRRRRR RRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRR RRRRR RRRRRR RRRRRRR RRRRRRRRRRRRRRRRRRRRR RR R RRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRR RRRRRRRRRRRR RRRRRR R RRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRR RRR RRRR RRRRRRRRRRRRRRRRRRRRRRRRRR RR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRR RRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRR RRRRRR RRRRRR RRRRRRRRRRRR RRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRR RRRRR RRRRR RRRRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RR RRRRRRRRRRRRRRR R R RRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRR R RR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR R RR RRRRR RRRRRRRR RRRR RRRRRRRR RRRRRRR RR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRR RR RRRRRRRRRRRRRRRRRRRRRRRRRRR RR RR RRRRRRRR R R RR RRRRRRRR RR RRRRRRRRRR R RR RRRRRRRRR RRR RRR RRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRRR RRRRRRRRRRRR RRR RRRR RRR RRRRRRRRRRRRRRRRRRRRRɟѼG5iy \/utf-80082e220fdf6fa3155b4a52f8f938bcdbc036efc446fbfb0c1b947c8aeea670a? 7zXZ !t/8]"k%js) `>_$yFx>CTpQ5q,h@weV@/7Qa[ rޖJ\Ch3qlA]P~.>t]*v1C!XYߵ"+0'Lw"sPݑw#uu"@mpgkm7aYW}&¹W$JZ5QcdQzf^ޓ~Z5B2 y"h6:U)Yv(/ -T[mUXUlgF--B0+"Zw٠٭ wAf-k]s-6"q&Egb6d*;4Cхpݩ)Wpu?/2$JB pj@yi&P"̶Cfٓ[$lFkqiZ3w?:KFҡ:?C)'1 燘i=ERl1m* 8O;UNV"6ڵCu&2sۡN|:^%ˣd!Ced{/7vT43&iWLE\JQ #ɕe[+c8C:(hzjޑ21qp4K0ߥB5##sY 4/Tc6 nŃ͗;䫮\cRE02]j)8 کU[Zk7c%NXh>O9Sz:mZpLF[΋*кC "xw cx֫2D&;0u`eˊ+u?j'(F'VPib^W](vXɰ&Yz Z4}]>ҴqcFb<}Uļ|mt 1sTRr*3\?rQ ΏĥxUTSnoW};M4oI SL}m;Aom?i:+[5@mv^58j~z”pL܊FuypsR>/-~gb's->1tq'MDB1σGQe$sm6lƹq:h)EjF>-K{Q[2ٛmҨ0Jxr^qVemz5fčdMPx7&0^6>Е㕅iF8Uega!])^}%MHn" α=4%@-ϴwgcK.@?|QHuOϮ(YJ\Ȕ%ndSJq=7' "$l|2f-F11xi`f́u^NO.>nK]Bv OЈƪtuBtZm&6nJ4v?L &œoj|7MjVBVkӶY\:>תWAtE 5ߝֶ;%ZƗ-_CRQ*?{iVBy[`.:oj{xU"|>OB~ӯ E"gƢ*HDZ0ٟ4ضtvMf(f2M[ˈV%i#(A} K`䁂A/BÏF[V*$>J̰ߗq2dxn-({Zg➉_Ǽܺ u5°jXFg8;"$P+pLŒRՄXlZ]uwݴwCFi]7-q(e]ݷA[G+K!\Th`uپb𼠍bXmү I)% 7XoPLu~Enzɕz" @1wcޮ&[kJmckdco%AZ6ot<|؝خHRU\ CMTqgؕ_e z볝ZIζsg _W(m1.!L]/}' [FE %á.{2^W]XkWH݈@~*'̀d@%9Íɼ.P7)@N.EߩJȱ]ɇ5ښq[12YkUJAh| ̫;czCSZ-F=w0 /!>s-`?jw>N\wٗ]QT!1Վ̽H0iTqiv`vof}X7ZͰtXZxճaa'I?'Q9[fr!c #DD" lExxjKz6x &I2µC1GfkHȸdZ04WG6bxKCA느t^d@W&?޻P0C]{Ptg17< :!&/){])hdPXI1;DU5탁Dy׬x9ڌ ؤ8o*U吇颷tShv[Z>t2t2:q[ 㣰I~OTdJXjb|.m,5^7pWkrTʚ ʧ'#GvoEb@Sːt4$v"AM}K0pcf!.Rm81A`D7Y:ʼnMG3x[!sy/s@GЮH]? )[-ldvyȔ6\-(@Wm0i!)A }FcFsNSCH¡{umps *ը9͖"lRϭ%#&a=, pn͚mmKq&Ɛ14Uvc~"@fB7 ,GU-'(ï[G[\ ~,& ;22OwfC*v&h0L\c.^Fbv4Y+pp@Ih()UߪSvF҄GGxH\׸ ];qcZwEWk3I6dO=,x*zdM ?> ߿w(&pF|ps dG% q%J:t#xs·Y͵qh;tߗ<[ə)3@S&koW!)\̇F?vv8jy&w>Ȋmk`GQ 5)L+& )@j5#jmAZdo\'O9~*|g l:ٹbt?yf9C1<^$։=[-f o42sʱ*xv7d)-$Μ-7[vp*s! :"{!x-qne:jg4fIfXi~q$`)G.;:W״aEYJhv@?Ӏ1W.yOjÐE%X\eg1тKKA9<A-dߖ۸U |+dZ ODXe¯aBqqb픷\  $d>zٔzX4"T*g V8e4}.~SY?(9$$zw h s;#T_[M]1Z<"yׯlRvOTno6?3/ZDlzlb%R KI7u}Pj"=B؈lT#ݸpK#ҋ*o@#n'tmM\\}-$QIv5K oC~W8ϬP=5fKS9jz/@6P-Pe! "JƬE"_2)«KoOxYϲr\C@ EֶpTҽΞx6=Y;mLl->3x8BВˏkE\p*&G?Q:z7IO97Kƴ;YKۿV..1K8,+2jF];{H{!rThǀ`,c$U Y$vZ`Jc$1 &a!: <+%e;3.ҖpΠ?MQ8gC4˰QR :KN2:8<jA j~WbTȩ2vߌdS`YCT!5EZ=A| K~6-aƗC9fԖD"{uXdVǓJDօU1td'ܵ|jK.ȷB8`T?p-$O#?4N:_QuE]rJ}`{y1RBPa!tD/P];M;A)ntuH#E*!ھ۴~"N-CH*N\0k/ `Mx"vΘb-G줉7h|$' ٧e;75G|8(~ޟ\.MƟS?Y+%5q(_N,8 -GQ9kх;9ZR{f29 g&A]_Ӻl#pl-8X_M[ݸ~sX ;$ڥ@ A駉|=u_V7Q."躏]k$nÖ+v?CE-eDچܺ|5#k)Ģ̇ZaگWRR'ZQIb]ԫYQcG>p'y?.~PaukQbg{כ*# O6cK]b>I֠B?Mi؉")NK9Їr]1 J*tJ]ЪT\[d&&3dT _ܜH0*#SD&;K;Cvw2qX&D+}ѐ"KS}rckC?Nѻ뒹: /DMJ=8hvm'4SA2uZ-T;#1EySAZ3׷12c3Q“Q羄"nm<`)Y\h&Umk/Zu(FHBA3@!.jF͉L<8W(^ɉJI<%*Y A`9ivzyQ53vjnL'!v;!rkWa07ש_1մ4ϻNN0ו0#xb{]]$H815zM 4c|T7x]Ep=˔<+KZL^A8')p `렛Ns{9rK_3'f_B ܱfA< l#fUMmʗlǴ 㞽0v7OȚRzih=A5D[j-y`*ZV"&p X~hǨٛ LG7 Hݎr&# 9a6~j_Bзo61@)ݶ[)cU+4\CaU]#CkiGHI- u(aб_ԙz cw9%t@w'R7tتEClr׹e1=3 ,(ֶŪ7 )wk^6' ̖bjOoJ5o,UHi9&ی$.GH4 ZcgRVsMe")}Yǯ@JE53S3)o0^29glۙyA[oܡuljTt6R'.ħ2_/oNrv,ņ}gxw8-*@J[T;.d}zj'M:41$MZpMעai\cP ir=wHaG 6[*GM#樁n.~T$V( Vx*͈gT{b;׽{yM8JA+_ND05b% È-Ҷ½]"K;DlТѿ#fW0REFuKDŽ35WNk(tl? QW_A>+@z^FN7+ ϸK2:6Z3}'ĴPw_tViRZyM]!R/ 錼U0CV #cI ocBLzyrߙ0UqZh\Њxg9@fɣHʹ?%R=5D'C<7ChW?ch۷U=?ng_; r:Tx+ gD8#'qew ɲSߋ9`D3dS%*{xNB-JxGA(ղN)h¶Aǂ܋ ţf(YF0ݥ=ldiqoq`"ϯgU)':H}vCN$粕je2N,ٺi` Ws{]~}`yMq `ĀA뮂F)UrH(MlG Kt1}(KgdH =O:gޝDȠ|Yi8w\cFBWUDLPkQ,4a9?\@F 4/!Xyb"Ítyv;){rA6݃KXUE9 0|v?6ucTH?mwuRu0==P!WSމ'49Ap?X }8ՃM@ݗ[MsU]kFp_"shCw`1m%H?qO]$znǑʁh]^E5Wy!br1}z?SFOrezUG|bJz}&K`}*;XzLjBMʽGFک*\ + 9,PBb}$>q%W} I޼1"rQ"d ;l?Cn8;/8&IDžøTETMsAٓ696<X~=;iI 6B%R_2XOu<̖wwLhn\7j=NuL-Zk^>xbk!G 8c=3~RO5툖Gwqz@qAXLE>Ni4>g $HV`}6Lݕ/ozoK.@>a[!>vF|S(34Y#J\~C旋8[hGC_ ;%y(O@'R0emgXݸLU akE m 50ETlrڞr,aJO+V4m~aNΊ!,QA[; Ozc&f}?UAF+ZEyI)8"p[7TVJ蔧aȣ6ZDòV a1o'OT]v3rّ+Y4 LxƹPK8EZ+p3/yNƛ^ahƃh!/9;GD!/TC kelOfr!p%%dYjykݥ p{'ߖ-X@U]zRU|ޠxj%NumbwUk7~=B?"Ч|Tb!P[E^ٕi{ཐՈ: ؛#tΙW= Ad9x1ojIILCņaE`LTvC)2̣(f}=C;c:⠘^+FD4u:!|\^ b;2֯p7I.# XD-rW*,ߥt\WPz(v@) G%.r-(c+.naDWt 2yo~[3xrE.t?> H"3c}tMp î?~rL rvԼT6CW\ί$'~!Y)MIb5+-HTǵPÀ 6Υ/ּ--hG^x{-Lp~0i0\ k땊k\:2La;sOE'i{f {7wBU`&G^?,V&'ȶ42b=JPT$ gEps?ǫT|iI"`g=m-+nC4~B(mU!&kC}y16cmSed 7)$>'I/l>Q0,󼗍Qr1(&j[dD2 /&Aαb+fJ9}Vj^6w]v4Utvr'ݰ3& CV 5ggُ$ѩ=xqmfhjc8MGB@I_>iK0^* ~7iԥ*,0+R{l 5lvNJF/.'~z} R0a7:p)Ce ާ&d*J or 5F:M:!6GlIp\\N= `}\dݰ[iְr"Y _ޔGnP$фVBzHW};ݤQCtbK1hu%F 1ap1ܒL>ly?dSڱ;m--[<\}tIzKyYrNvj[Y spi 巂(<@bحc>ː/’ar(n\ ׂ$66!Řt󋛪I=2t[4ݜ%)ī)c+ 8W1g9m8lg9xDKъ$9/Q -t(qTx@p塻&mXA^`VbPҦ\C,"KIY[?"Naī{}@ٺv ϭvA%B>E1jJ<:F@up9BiMD}Ȁ"ISA&9čF52 "\dK)w$;4H>n&YMiɾ2ۚLo:'2J,Ԅ~B9PkYOI9TLV<x^`܋)E[5\چgΒΕH1&6辅G)>"b)7x8v<]ŹREVћmvZ؟n% cl, Z.Jceιx93@-3d Ƥv-{Yzt(Rπt7n(]UW|aәᾢ#Sq Y[i@-l6 =sTHlh۳j@$Mh- &[!XqhERT.PQ/=ɶ_Dfsqˤ Mz(m9͌Fgu4X' /YCFtwt#[D%ZluDl?ߧU&2ᣢh@E,yyOy #:$7R(_VyĖ6*Y90x&S6A(weqm? 1;i4^ֺMЫmۍB z70a?1 uIDgQ̎c1L e[xӔk% ƅou1R؟ޚ@~@ݰZ!7,+<5xcf =r[}5}WpWN7u{'׽A|Ux}ޚ3e> a9ַ3 'hUWa G6iy&Bߜq54NiۦQZ=&OGd* -F͟zT~XF <{ae&hq|KE8-(L/J auEm RDlpXoXSHqrg\]'?3q#sefJqW%Ӹ&Zr6>W,C4z]xk bF6hҿQe&#I%~2W,oE3k~{*>ᤲ"!y$voal~ӽ vc1g"Wtg#t/itN^V&,39ԱDC?>|{Ƒ̩8p MQwôlw:"K!Fc Q[u8@?'K(+@w&DמDJۗ{dJz|<܏zELq&1LA;];@ַ}i O1$̠= ]`Ӏ ǘp¨koe0p~vK82"hS|,"MHCt\oY9<{~ߓG3Y8Q 1Ut7VbG)cŠS*i2k#zneͽ|xMd_ov}6H淘.~蜓PUO;Xwʚ~٫ G:]R1D ̒63S\w\J};Zx"vKC=q=9XЙYYK*{sH6Uϴ? >U&0rx=/<\q>C~C/ӏ8rE o h/s2קn,Kr^`)/ΦܳW[9錀a̷owhQ-e6?S87Kڀ ˪}{}ss<&WLDxn,o'V3P=ϬzQ a1JGFB:U@u:Li%;~M|D"Peا=Z8HMlTP_я DNjc3o#r' DBt9ie ;5@=OHԽd4oWZ3dq8` 0^ !3P *"7uJ4zn1tAB f2ƜdQ{C\Pzl{=ٱ&}mǫF=_vq`e n|&á=QFɚ]}{m@W#1_+v}j]}q)VXg^ڟp|'fR/%au[0y_1fhh[-/W%:>,MEgbZFwK gĉ1-S* xx51 oFY~JuxWg8 6SqOdJij(fm }(l9YK3u# }Qְ+)Zۄߤy[lap0,.(-!t.y AQ^Q#Nt=F"B<:?zi76_݇ƽߞō89XOH[IJs]\~Tn8q\U ,wIt49f!I&ojNjWvJZ f0)-JDI(a$ Z_ _Jf#dRiq4+4 I2T?bߗϪر?G>WZIO!;{b46/d$ֿvWbe&ŎU7H-5jhEyʰUDw|b?ASG-u҆1z-4p[%y0ɧSR*3ȒT2VqQShۼ Fܭm(n`.@Z)U“}\@w}ØhHgKz4F=1ݖ=$C;KbjͥvD߄yQ. FyTq xlIߔYi# ,l[kN{% LL\Faϵfh|%vđ Tutv飖\^?ֹAͿyzZ6 ټ]XtY[#+;wD/{s=K#A  hj#P^@|L-\6 *F߮%TR)UX5ن,60 vk:["bL0 ^M H2"6xFAs3sTEgU9m?U/x5Y\Œ|A`KU;.F_5h/*}0y!Tm\#3SS[;G1u0x2?e* 俄>4.d3(D^+_83ZqH6FL5ĥmn)`C6nS}2\+pCRn 'ܯC:9 Fr8`ؕ#7p_ RO 9Hu8,KxXVaQ)hxB*eHH5W=c ajK\M#om2pHylb9C$f;d%>D"M0Rhxŋ Lp`Xu^JRT+>"g#0QsVQR6|7zg(Jm6Ƭ=lR4}8BP~mYt jK &CMJ V\k;L`z*ܴcw)q@E {f]W|If.Uݲ[e Sݬmx'Xg"SՃ d@Nu3_SC[ }~ ++SB@S.3j=Q]c_4SA[nڿ/X1"KK<9s)P^"D4 -Û])Z$A4Dn2r=z9WnsfSH8jd%6n  ih֮[&],яip'2hET VɥO-w*hB- n1\ʓ>~ }QC|3'U,YUT4 ӛ*d3 U3 ?|_ɳ]!Tm4u+2-EF/ӄ(u!RFF7lO~*'FBS t3J/ΫpՏ2|˅wymEU̳;ӏ=Pw`đX}\ZJMIN&4"cSn7 k؉c>"%`T@NԖ4v]}r T@nDHYL"p> ,`l$ݬb@塶`h5OF_4E!1B\;3o,*-?fJpC=Zxi0?>'@]T '?¸T֠Y o{O(`-ϤzRLOP6Z‰~KgQof .KO5iʈ˚ꅦE*\wBSYv_K36>1 QDžOװZ cVǵ;]6Wt25&x~F-ģjmz aZt8H[%b[VWġ9_aBF<+5gz vL\U¸BрZEJ#qRØS8Q˾Û s@4%B[lLݙAΙVY&qV铆&c|Ui*h&;.G&*Q.L4*f(#B0"HnEUd g^ot g73.)a/չxF XmFun HF'ЈPͫAg| #C$pރ(~_]fttH\J,_''=1A 06@ġ|b)4,|YE*߀ڮ,334DXkBcy=<L鬿7K.m* Uh"kXƗag`pXA?B͸-*975YKgf.hg5GXHqmZF%ݪ!I?8k'I U0EGcmCĬ?uS0TY$s[]^O-DiVJWXd.[܉:TEzA( lh]/-,V@A`i)x6?v\#C)x m)HdQoB\^N3.x^\]+0F'3>hʖG]tbuqh`tyl~@ Ur1˶ܼ~ݜR[G$!5DNuo#vM27/ڗVfK؝+) ƏK;.f\ˠEt4  au$w6% 盩O=2f-D$ 2P|K)W5H-<ȱ܄FEY6qm|I+FTQRbQM(G|vNJO6Iat޴HI>.iZP93B45? J@Ld$+:G۞R9ZRV(ʛ2v)o=27+)ރ 2XE%No7kmT˧'(W7@Oo)mh)49#?.#Xv !6etk$َHLK.ԷQi5 +kh0GZ֗V1Hg`\U JW|^@І1Iy=}9A_ זnq̾L0j֠<.0tsemRk"wtyw?^h=O:czMYrpuIjVgX}¦ulDTH)'Tx !5zT~Ksq:wJI_ k=;В$ơmч@\}`|^{yt1MhjQ61nWy.StC YKiճy25M>{o=ՈR+Ȉ3KKC1?럑XQ\nUҺZ|&BIv}{M@3:WbhJ VN_ Guww{gR,ɝO*NcQhZr9m7K7B&?$YNXyЋ#ESSRmBktO!i'0|D f(1C@ `nP܇='G*6Z¬:wBt䧹4frAqs'dig@,/ >GB,*bZ^ D`vIى[*|A Vm >1㗟}HZ1pR:U/({ubWs:SlZf"\;J~I+c|d˯iH,uUMkXȝ揔."ٲGxAӓ FM:`waq]8?6 / $~- c0A׮1?w_l 2T2ۗ[<8l*=2Pߜ*M[ƐєH['@׿-__ȭ-^M㎊Hh}if9S^bto7G1wֶ4=Ns/M@ 8F*7 Bqˇ~v W Ȟ3Z&WrN͹lV@'4L$`i~h}#'u)2~k0i ">Λ*(;P9v)E+ubC_S\ٖ7ze\*Fպl+<Kz:0/T'#XA|22XlM!FR(:Qw]nc$iGu2tܸ%1BT5}1Maݎ^/ 2H8Qɕ#^F8/v8q Pe('AN$esYTow]R{v[1eBeY 4crft/I.L6m_"x5r?U5L`-M(D(գ,h[AYp;A4IbN0s7#Vc]QVǑQ}BxY płZZ8&̈́)ɅGw3{bImmsgtAj Eɓ-RZ}9 y˻Dtp`}[$X22Nea05.Kr>:׍"1}%\zdʷc'9fk|gzE?razc8U fHry6Z'ꘐy2SZڽ&LPhHݱg℥,`^H@َЧp)ZTV+׬fBPlP\'#Ԥ%+RImU5c Op FxdUptB^2bapU'OdM;fn'AjQabr\ '[G|y?sLjMgR~^wqLauT6jZ˩D&4ȫkvQ`nX +stN)Gt{O rl*# n1٫gnO Zs^k6!_XC]vW%x]V*Ak0%{5?]T%.q2<ܭU]F>6ϰk܀=532:ɄHޠf٪ !Hp,ؕa5Gsy;%˫(SH 9ʂ i M4hp#o"3ު-#[q-()h.^zħ"2+tznt-~Кqa?;| =t0:2_Od(YX}*/ܣ'H EܑK>haᑛ,˥69ULcٓ~D9qArjT-UK)&|sM<3ǗĺN(eYo$ɮA8? 4dH.raw⑂G73x,ɳK'RR t44xfNur(؂t7v׸U,X|k}+~ҩ!8CF .*M#ɠϺa!_YԶەV~nO*"lp( ϦDNeKV5vyWvR08hA/ާ7pg^$H*€Z57(d4h D{5Nk̤h(Z<7<31^(Ɂ\ WL㖋!!>/9/BMC)}\^g!dmGk֋R6o?ʟz! c֬ +G^8&F~NFݡ3l<Ƅ[+w#`DaFޘO&vDw֊^CERTHh Oi=mnve]&۲]i}?A6AHSgrɲD'3 jj3Ϣ`RQ䗣mrl~F>>Ev6{]nBAMʑ!vDmEՑϪ]mL8o){9Qqb<Bm|,i^49%^ 1|Z"z Nzdgify62$t>z,;2Pd8fS5_3JLۉxgRRyV^w!nܼ-a\DeE'`( XJ,Kr[ =40y_xۥeqFN0 n*Y?朮r`ۻg?d|DJsBs|،BT iA:WW%3>>ɘ2ʱg}[7Q$>g(仝QQG3-4 |>@ٲf~1٥ + l= :U.NWJtH&ַqKtIn3`Ͻ,$eYge{MYP  CZwi( vc3cj`S)\\1x~]4GBX]K 6j5I rxg $?F Џ-cW)jmY*S,TQvh,X*FC"5  ECv=c 4ZgPz @4{ { QQ 49rB >%E҉ER \0 dF s~i&8`m8G'l%gLyڑ&mqnaX@S˜7 uoGs*Nl/ E2=!M!ھ\6ш|QMs1#O.@CQߘ :Ø6X 6x܏c1z'&vt>2DƲ =. H Qj f2'*^=03r)u[QZ+k`Kų ؿ0޸G9}$˺!N>\QHk׾e'-!Oc",Tc1 [SdOZy.B9 `W]Hn'{ekoHOPʛu|?k9>%d*!v4MGoC"篲m޿z C49HڃysΈ ΢oHJˢ "~7A# Td>ji27H>TbZlCp59P4yGyral|P/v=@ct`p.Fd3ȳM֪׿Ԫ~ISf._3VD6qnBTXⱜńkkwT.!eadP@27xѲIZ[g`ѠTU萝X)%5k Ƥn`x筦5/ NR)` ̟#)}S ؝G62m` M{+M@}=q5]>hM,XAo"B7U8XRƤ׫@vu9() W]t!70;f G x=93a̵) *goZF U61% 8R4v%P?$7;n'Yg76'IeHT̷^Ad3C$o^4Byq|<3A<@S 'Ih yG=Bٵh-IvWVIST:uXRQ&;J%o4|;IAe6F^KH TyЫkTph}zƑM66[UZ*ځoZt=(>;G=mڃ?dN#ccK9˲H& s\ Y;2Tm]ߺ&gڧ00I2s:`e>nb(5[kx !s1'jűF+"N~Q`'LY$d^46&/a)KĚ斢{6rvݍ] 9Bwo#7^鿣Z&TԹN6~ fZďp^m |d(; wl*hهn+\[㨩>lsPK3wɰnuP4R︾J{qA+e[.c=O$jH!ax e (N Zpj}$jjx/դ~CPJ/BFˠ ) $F7Y7=y,cioRQb뫝'#5"gk4uhFݻqVgpl}K)9FvlUu= ?t=4ý!mv_yAN)]OTBU%<<Φk#9&|ѭ=h-Z6ǢBtUQ3sr\ 0ٔ+_Ov5F#O'Kϛ䒙R^ '\Efly@k(ONsisVNwH͂xou*&hDׄWO]PT͘+WbPLyu]K&`!]R%6vxꞍXk9bFIҟc&āرE.̩BMd,ZRkJ[YRUi6a t"ҷ;*ɺ jr{G>2D@a|jQb4BH~;da kxh B}n\`Jo"AK]͊> z=euw4>k| :k̥L2&ʍA:(LBr;;ό׀ɣ'eCv1m!.KT4XV1.V8S3WЙȺt~pmLy++@Rl{lZpaD!@@#MSx|(۸1]n=v"Og> ]9EDR8/"@]+2N>I f+F_4%FAd-? 0oYq}9\Va[.+{Rq`B ?G Bp䵆}2|D?7i{{lV?ki+y{~PDJD%ɊYlHa\ŵ/U# t]fB~CtiA1 @LϏx@k!``=R5bgڈ>G ?7#H okp3& ٣⭂^>|&XvaK2b ɺE`, "RQMpS.6Z[RMsg1CcH֪t 'aAr=?d8dzZ- ̳8 qD4wT*Ke3z<#%7G׭{Q> a0)XF1QL_Of=&BX;,^(>1|h(6,IT`E*U k'``>* ݽƂ?9d -(d 7o><58%ĀBk K>e`kLԩEjNΦb N 7[^sD 7`_Ug03gj!+@v/-0V9? _-P 49KvL@ ΄W!?md'LS R.{J͐ll5Y_AAU*է=Ɏ5evexE.=ZLϴ_)qd37BfoKwQ Vy y4Ak5JF?RݵM[ [WzU q*>?[g*B?Ѻ;ºOFPY].9L5'T$ ˲V;iÌo#3pn)]p@^t6Sj/JMC˄w^tAbɴkp|1;gyPo o+!c];.A  ܡjP$`ød5(Y6K<-j#b>ee`0CSd;fA2YEп `31)+u29wv B; vES]^˫pf;)ĻԦwp$SHdN[9Ip׭b}mce""hwNΜG=7  -a=V  lj н( wK+x>vmWz l Oc`KƁ|m׹?&y[E׌= 6.$xL/ZHinxJx=Am& Jz#fY%N8&Tѻ f z8,16F}t#mMc7\0\#/+Pλh#fq'@a&ٌ]u,Lb8Fhdg-=lM$p%`T￸'ZalHal8!. ? l+/4Ӛ-v2LJMBmIB)CsKܙ ;Mmͱ"gNRЭGߗ17rޏ|Ԍ<qaQL4X3^QMg7vTW"ʔ;p+@Ͳv4Yҏ+lҰ6Duӑo\H0nܮڬ1t`8zc52$Ѳ m~ꎏZqF;#On%& P2Թ[Ftta+ AϬ 6ȣjt=c>mH0O& r /VJB5e{&cJJq=3J^~h'lHxm3URP u# tsµLW oMYv͗{c[)4//sk g]MR5M#K>+݋& rMr 7V׉ʐtP;7͵$EL)\DdC9H͆Xf2׉MTnruX0B\\aQ5hU-ˢvB w9S9 \_NQ)W`Jv.:4 ɤf^.<=d@rC۲'3a+l󋌁=am0IOX(_VB[.8V)hf(zp`D JB7UYEt{yϙ"6Y&zp<|rH^6$MbRҭ ͷ;fuLr|{xD gAW}޼G-J-wiC'|nH“b s_D0.&O[%,; C쮩KkfCO4?WsiGfWbÿ|\]v\km Iߛ3FB>;HHQeBo _yJm@PG3}i\62FΓZV AU"/ff0F٤Ğb.h[ŦLؚ#ju&ޓ=jiQj~X0H1O)K7 #U 6~Dy FuN\7"ɡR,"K}JS6!BEZ&I%f~]L!ZMnc4kiUQ-zEy>/}RH},j95DQU?agC }NF8E>TN&ňyphS2?<j_ݏƂY4oNÁIx0xk&8HdY}wMb|<( 9I>>/:!ݽ7C;3&^v2V!G(*pnv1h1)#Ͳ8Y66m9[7kgLj'/h_sV0wЫym& =$&\' "_v, 7: ʼj%Bͺu7򴎽W=2񑸀3ݝ}`g0'|AF&ݱ!#E;+72lFf(j +BMpDF0sxc)(vp`U4¹˜897p6xw68'rE,8k:(E0HQW9UD"eIr|MwB t皞'{|!O'lM JmxDY, 7):ZCANrx0AЫXgF_ASK2l+slw h6 VhSNXߣӭ]OIi;g^~w kNE,ϰQ>I{Ɂ=՟w!y :T,TXn#P_B*L TU-Yfv͔!|# O80iFjG82˿ cW0?P67AmްGc y؁}K+C}{"vٱdc{8lxx!"^x+Ư]Rx%mA=nQ׆iVR$gjRj dx)fSd+(5@Y؊t[jjaOdsStr8s{/- /I]!wƝ)L#'{qeu98=gV ҡ[fcez'2;K'x|e4ct'B3&Q/,4cb[+{j8_ F%qbnWULЅǢQ{ y2b]cY0eQY`Xl}뗸%ˆe'89aWUy dx-4e{8TCb PMg:3.A$SϰQ7lٝ<:4sa &fN|Vm J-@V'8΀#ҵx`eg3'J &1)ʝ`po  'mDrѨ\P;ԽpU>9COg5U#;}6 :MKbjOuuՃT]%s'qX("#_{)2 x6X(ޠUJN[o6NȨOr7Y^ ME hZW@Õ(j_zQXMa [٤@dma2,v^D}r}/~t_3olɸyƋ!8cG3Gi*[eB+ހZ;MR74Jh*iyk>-rUTBi8:U՞䘆{Ƅm9?e;OKmSdpA:4Kv҂*;=E-,* 傺2CYp$%4ۈ|:G;)o,;ObA$TwE< cMO3R9CCQ~-1H 1eH]Wq8po(&>}sZ_H w xKƋp Q(K*,n2عExF& .DYd2Nָ:pw 9&龭Z 4=Mf 4/]5h 91`udBԫ nퟶF3V͢M|bw%zP *O,{@g{G$z9\%wܑ1NS f AtM"W/e/=1 9:}2y<簬/J>Gqѓk-UnB"Q[?`qF g`+N ~TeHSSMF :zMwMc@;4k;ټ OB͎ ;V-tE4fN@hR׷f U Rsm4i|16;XU1Ƣ ys'|OPe lUM /c]ineڕa!&p#V4 F|eʀҋ!)#yo RzDucDx1W~Ir;Y'r2E4e8Δ`]1Q9 ?UbG7lr^Ms Ci**WJu߫߾cn5/9TOJ`Yo?>^&trH<5 5Y4뷟"ʺ RGy7`)?G`mOXUo̰!Oyu4k5%Ԟn#3}("h+b}Y XpڱCU/AQ0U-+Zq"\"]1y)@ki $'TхwKha(tviW")oq}]h~d]'uԡŲ %3F;a:r4 )A7!yS74$6H-hhKmk(ވӜ;EܞDzojhBL@g=([rV7Utx2r`D ^2xEڲX#  ]6vGO1?pibMJ w˭;khh?2;fȮsf`zR;Ϸ4m6zp?,H;7rZp7tOy(U[ҾY̕}31tNjV0GЋi1"ꅭעٱKjZVN ]u߫]&=Vc١? j?J>Fϰ4n2L:f(#4wX K󢱒P,~VhΧMÄ *^FSkcdf/-D_%Y|@F`̖!dl&ңG33֔?gYO:S{Ү4`{1;͓GvMCP]?<}ۏlpBHs◒t x u|n oB]k*[ޱ>76o{}}+ԽW*^RAn_&hԑ-Nք aRr'Pb26 .4N yMv5ApmUh 7 4fd&͙DlyjŞpZlBed5nT+Sel{i}MZ>CJ(Cc7'wތf}FJKM4f&QI!pJ+L0y+n^wJw?(3">(5p&-+bb P෹VwJzÿ Dr+E^?3zBuICwj٪ckCNwD䌦ZܚS2>Q-',GH`vHiV! % ;+"Pq*Y<-k{/XJVsljs5,߱oV^r Ju~ BwႭzBoo\Yhiv[3 H22 T ʞw9ȍ @c|}8?dړ%Tj^6ۇ|llV0~nYd`h?#?@-g>bb[ fٱ9[B.U}<:WԓPn8iݘ;Ood1a,]k?z@ϟ8J}Ze GA%>{TYpD6~ W39pSk?bGjZCL1'h_X> mPmY?YT09g7%47ں?=$P\>@LE$"'ߖ(4&YknHGsbZ܂˭yS )fd 1ł?Lo6mgh|{_ kYrQHy>?fڍGלw˝n )RNmp٣佛'e34QNO$bވ;{*Ue_߷G"v Q̍"8+KD nEY=վafь);.<2|ЗȎ [p shBc)Kv,yV<36%i_ wJ!yN(L%E{' X,DxH?â'U"\դRf$H5 z@ԍ_Wl+U,;x*CzwX(LPQ[aԙġ>OӁV!luz䧹@ \τ.@Y^ Ѻ/2MRޞLb {,_,ٽj|U|`g4g;2c$|Vj wϻGvevRZK o<#Re>eH ٔmDPxPtX']S?x_V;hqpa۬M-77F H<nT\d72*̷땳H̢)2{!*P (vh %o)fkODR*uΜЊa!Xx?IBv Ys Zо? Si3C^=֯&J¿mF703^?g҇ 8*qo)"@|6?00rΰ42d$8:T߉}tCm X>+/ ԶLɛ ={RVW7Ds_a`}9 lz8qH8 u!!aל{n#by ߯ӍfDd@(<=Ҭ`c34ދB 9A5J?iUː~?iLcbuR'+)h[8f[SyZҡ\;-U Q8,Id}<. uz G)͵=LHzrW 9qbgh&3a[RC)T.5]ԣ4ր < ? m€0e$MdmJ > pu*O!j6Vh/J {.av\1F,}O.? ;?78,]N* 5a1 BP X;Iv\-b?Q7 zRqa]}`]kܘ2c*fDq\՜obrVş2+ÊkgW2dz/o%:sˬ~o)t٧=q]g-7*-]ByM=# p# 2JaDX̟$V(am"nh-؀= C#bY$]oa uW`Y*Ys9wqg4v^1Rz͕cޖ㰐đA],eԤyܣ8놡hΈrh_<|c]q}["^ WSiOʔ7TrLrq:$ZdP,oz~ a_9NkG?̋7g8gp~jXh6{j T@۶CJo;UbY2 3 EGdM]Ɵ{2 -;p*s9Nط1.8/8CW(A?`x2>A\%uL @1F(=) #T{| /YM.6Mؿٳ?ͯN"4HJ;Ccrֺ`._A^;iEs/ބ礩JnX* f@u1D3`-(rяp %#ۏ(1k`f I=<=MsWo+ә}XѪg!ORI fuQ̍ oc+[w~ Xy=ΐQ;nD|2Kf !}l8U1@ ԐQgmb"ofRL5rIO. /qm-'`sUخogUgϜ&odPrY‹~gh%\r)NC)_qQ <'S%!R>Tsew\"_XqIڈ\b5vWG/s3TkxpCokSTxG=L{̯!miN'V`xZZT]S w_]RY-Jgΰ[pA 5"F Q B[*M;T֔:y CUI2I m ae-5RAQD[,;-* ]; ۴15->]nA޼_=V|mO]A8zC_׀1o3qKUpP?z€HWL|>-\Ț[;?rnepCm#]I84+Dr.opwEO܋T73>z ;߫CG-lWN l^vZ?]_bjb^C{+ )ֹ]7\(G5(֊)OZ|?g J}l,~(tfq,7ݸs`읱u 8 *{RPuib E+ ՓǚC 8=[5r G$MhM'ؾ5bX1HX 6mܿ܍08AfAHUKO_|;Ts~U5Iܙvx| iviO3tH?سk,˹(I$ϕ[ ͦjУiIHe<=8r@jsLXs8j%'@&B0}S6  M4L㢌e\=`pżܜmHf0 |'uJ1|>_hbs}*qvJ`QnѲ^0/q:ڳQm&AB6n%=rw!c(şkE?y NHvb [`*Aq6C,ݗ]Zឃo^9=UbMOc@ugfJes|{ l~=ժS PهL=ǦA=, *kjQ ayG<I#[r, #{,*5GH}Md-O HN gGJÚc>>w"}f?L9O18\? ˖RF}659S~= WU/g9-kj  b>8!P1,_{X6A;č!Yΐ̷Kk6w6:q3a44k,9l_QR TUPJzTdI&6 '\G/yW: `~y59-Oɍ,m;XX#E|ڢI{RГӏ=Dlհ a,ӗe9w\+ƔKleO-d|nZZPX uЌ6XvURUb<d~);Z( ݾs;Γ` {h0#3UmN+b+לI\3TnoM(E+/]/9$Eo 2p,3$lrl_A1M18j1*C|v"ñASA?"'~պEy.G!ՙG`!mkbM97'qx.M<=\,wunr!˻y&9\AiHeq#لosU_0K]BGRlvQ/y)e]״}T“}vo]tJ# ;$\>fډ^r?(``t qOFz+LJ=Yi#Z΃f[T*6{y!uRjOG=y__N!>UtB(TMoxdM5|R0'L &>p"-g=4x3>[~3(,H/Krq- E׽QSG5^[.Y8k'u4w8K=\EB8 ˛$4uŻӯG=W3ѷR,6n<36m~&h{&dA!jLx3iuzPϝ੣Ȟy> Jh\_GX,M _iĆ*T3/G)漓_K~We"VuwzG8OADl`Zz nҥ#9ST(ͯV^$IkN Lhu hfD&&=. DC0Y^S4rO>#lÈIy>Ni^`a_;`?8 crjOQhD :E> e5J.W<:A%z1޳k[̖M=BHz?D;N6?z) ω,GH^-—.u}U v%il݈$?,凃sl3(&y__D#|^7A K 8b%pǑzYJ'ns>C%]|f#|'^'ܲ)۔2 ;OWݗ dG1׻HqI/')05 fX47 [.@> /'Ii=tr9Wl|L4^\bȒ}߸Wv:;_|V߫Z9i'uHWA9==,D y,[?QxA{v2~:H=W:jf,wvȂ>=kDt Q /KJa6Ompjڢz3ޛ+]lfFx:M?|Qf &*M4U³9oBR3?)S`!1 }܅ŨcV VZE/5f{ 数lOEcL'pb)G1[F^ILhB;HyiI ?v iE+hmB5 U\Aڹd!*V6PYoX1~sZk Or=҈ ]]z*;,m,UaS$v`ZWaKsQ Iez[۹kĚrGʞO!+8+]@5A,ZVMB^ -$JHOj QCwkLsc9p s ^h7z^MxƱ =Rnno*] b0먎8t6yh6cmzfH,!gm_ w*{p@oXu Rh:&t'# nn9"\㫯>&LĒ7_9E (eWDW4[B:^벝 籮,b|6-l }b4 P`:<6O#+2Ql]xß"l}Vx˕)4 3vշۮ'*V-L U!O*I,|B_1K2QD2f{`QmP.dah8K 2kmW$(6[!ѯn)Nwjf =+*uj-;_˪vXCstOB/X߾οyd"5܆%s} D;4pR GoH(_͊ӕNI1icy%h-Fse#L8^y(Zvsc@?'uE?-9a@M7 ӮO05Ie1 !n]?i ɺ6JoH' T՗IB/a\pJ)뱡I8UqΊ+ҳrtp* 6d3fY &vhL_iykR2w0G =BFV$1lc*] "D ?.m.&5Lҗ(48q {r`jXWI $s+B 7/uVtMݨ ù6 D +%C/8HĹXG,x'? J'@9O!sa, ^7} MbT]?my6ic uڌex{^ E( F[G$F$?Wdw8$=`:mjOoږpu.ysA#UᚬO Yce9tv ^7, !$tS#5K8"_}PU56'~OզEjUr`u1yodLTй 5̖uk:m,1s,򒛴kS)62O`Y8門>-sj->H䆋(2>{S+p ͸TX^Ig㈤'2D]aIZP 1i/|:d3#8 Nm氍U>.b13;%]˜Rl{B-P buՠ7an"}Pn9GHҭO?j?׎w(j2ڗ }Aeߝd!Ucۂ5c͒ԍnMIζy$L6ޥ@`0=Nh)!jO*qM<3uзJr!jMC,>)It&_3l$Z֟e4WZI0b9ukdKZflĚ>O6'%d*Yw,j0N5bv]&ξoƩGĒ!~,wSt )'Pl4@XV緓yqNUW%5 Ń'' N/"ɍVEAhӌ)_4!e~l3wAG)`Ejx4\Xt򎰮[.@.ܾ3+֡DCT4_Fd+_raJzb}Oi,EotR} )St=_sg9x7jICy鑌x[zqsVRfQz Pu .G2.pO_չ@|xV 8}f2 PR aа{b:Ot%0u:eDtO#ҹaa7YTA;]4Tr/yc\X D}ZpL9[CU^ޅi_kc |cѫiHS %Q1!Jbx\aj!Xݙ$$j;@{I;j^"ZvjP|r`E[O"6 E?VNiM7CPPiDi Ԙw'蔭v5BPBzb,K]R<\mkDE^xkWE wSl-p$mPֺ߱LjtZ6J'dN]$t߳X%WmC:AЮgk)$%e$*ivnXz\qm ~HP dGM-@7ޤ4J+!N:,*\-?Yڣҳ0<ϫX]+\vk4dWw~qƻ,Ij]@ﻈ†1<.ͬts( 8jJs$ ыCAYB#;2\s݀uu)f9Ny π 5zYVIE0Jz0.|,8: Nrc[ a%4X ׊qX1Dg`"pYyg%?lh\E/"uڛ>]Jܑ_TX 9ǻ{dIv"%H 0Pû tRH"oM>G01u}(VI8c3>^J_nRVвzGw>[W .mdi3QFeHkBu d3VVh*W㿧64uH0!㶤T"!q떘>6!DhqΜYM)VZ3.ܡdA23sz@3F^Le_S Qrb Mei!pkS p )&!`n25/\:3(pZ`ne1h|2Ԅڤ=:ͺjwō_6g䝱Vh@ӏɥR;>sBϡ&飔R.`B/3f9쐋;8jzViCaƖ,.vTRc7gH\bAq fv2 3i%<6Q>ǴmHAYЋ q@,+?>%Ș3>If 2ZnlA= Jav^࿗Zg5,e=Z%~ ,>K|\4AU-ɅL; CFLS_]2_! +7fЀYZ"Y >3:lϤf.D46yz+!(}Ej4t4t%:EKo،<fqR")x}K̅+&ꄄdN3̚z`Կ PPX)huR%n"nS0w3ZuyK8{(A-~b;gDwERtI;),Y8UX:Fl&m MCd ZR%F,D[/|cdC E^ MG~rݸ6%##nCQˁR4iF%#s^L\R:DK|܅|$-TX55N .;TXY`xnrNm+KB.]`tjP7QɁ4F/*[3a@cՏR6jXGsK,u* C^0@z=O9/y8 /$ @I섗 b,Pܙz m4bhd9@ՖG$(MCRkWiZMwv<^*i#3oѻ⁽B1?r*tmL|(fmfN2fyL] vE hy7ϚMf+ƝŢYyc?gjfb%5BQe`%^&YX܂{n0cдKRY*",ѩ?L;ի0e3'T3 SΗgg:wTmLb?$9HVm3#Ł܅^Bj8 \BVfO5#UKJdwc`mil~&K $r ) (\AڧL)O2ɦNۧ@䁻Q[ i?M]0ӱ00nsheth;Үy;!D3BWjFE)7yfOKf,OUq+.eCIo;ܙ犦1|˛lvլ)[ǕoVh-xF['^S;l8 v D xn)Jm{ZL|KcIaiz q4 tϛqk%ƶΙWcDZh%)ۧ':jBa4 }[`HɎ>Tw$|_UHU_nS\\!'r$|-77 Mވ~3':?b)5N}~4퀷vt(1 n<݊Y".IaEWT6dOG%;;a nU3W-|50*}(3БuqfᏀXFv 7Gt!̸xkN\,ō仓!aKtF2ܲ≿cTo]y픾c]ы)Z>(ζR쳷I?0;1Bn!z^.&ؒ˴Մ0I8"EʭѨ1o?S}fxTG73O /(d#dpO 00@bR:Y4,,6MD0H-I9sx2"pxQg$@0Ѣݏ'sqjťmNlI8Yflx]ȂgŨ/Ҳ%0fÅ,3UآHD; Ƀ5ȨEYJ!ϙa2>i OG&ii3A~C亂1BWw CRX* ?TkwEjv ^Rc8AZe(lZT\1vB( :1NzVODy~ӄeJp7ޤf0tR}U$2A.gPT3CMݠۊ0nl̫tUⲍ`RNF>zXZswv?rc m~cziWkaH\ Iӵ<|$RV SBfm7C ˆb<YCXv[,,]lrDu0ˌ%U= /FY w d"Y!ǂ\b,ɝpDt)jQ rRAE)̱W麜6Xb)Z zCY &/y3TX*ۖyCaN[K.iιtC.NFhښ%6s Mm˓6fPg2`ɞְO$4KT&Lj\aw{2 d"ő_ n5AG](!-yuD~iM穕.׹BT7Ip3;&;>2K#/:7EGvty:teai~OQ )_Ğ"iIF&UlDâeΨHF3P**[0u/`Ty]jg2yVP[c3&P"JvO!ni'!cIrU3uUn.*Wl y<(̆ ^ #,e=˝@wϲzɶPX5*qv@- #oŽ>1>l( }vn*7aRٝI]^p͓=F-;ɿ>S燕gIELj=l~xLd̓FU30Sf5_ۧAv^ x?hhbIk4o{F@JV@XGIց~5u+'T869ao /M @X6Icw=+{FR7 zDppYPfD`cDn 'ݜ=!p+ fZ*aQ |R`֚}2!ȇ ^s`|2JMˇ09uuI:ao;~{QӕV([,#{Cn;0 #Unn$F}<`dC27M2`K\x%7̕5[ˀe= 8 Ԅ(W<9q9Ǡs6c?z YGWقӼ(F"wu 8<|*ډ&l ĭ9M.O;!c*4%ًqn H4NlqN],c[`>C^@Ai$ۉCۛX:<ZcGsy"m|"+;D"NՔBOW01ǽp6;O5:&/I,裟a]Sw*_'-N`,Сl|pB}|rq:E,hJ,'2W(?M;2OI̋ڟXx"$!͵1{ X`3"(V R<{Xeyt?{D9u/6Uqem"ƧkeU֌W2?; W<)]-ڔʠ8S> tվ A77a4I9͔U[ \}CELZ#uc>=bu$pity{F7ӳbE~23KG;&*ǏsOU1;U*]^ L֗?L%UBE?Ίهo60*v6JǛL)WcR/k94\nژhhE;{g~8]r玽C@#416r>AptXq Y=t&DwY/qƈrsl*`- x(7A\Sf1~Mk3v@F2ag#l0*(ZXB^G187V).|TF X/Iv!V<ń0"E# OtƜHXS ZeV+Xlt9Z>2)8886H)Z:i7cu`W*c[7DMh9˄ ‚Bx[Ժ5K$.wl ߟLAGܽU`ە #Y䥦Z Ǻ<: ܑ֜SbˠY2IQ 4+9$j-+'3Qpx}+4rK(mu1CX`H03w]79Ñf¨少=$8)&>1&,lfR .<3JW'2*0K9NQeOwzԢç H8ĸCQpqZ857|)˕4H%` G=dUvAk&AH1P GλG*݇_ `a׃g)wn9DLG5ȕ(j"4u"Wh&.8 l=p8S0 %ҝ"sf:zm-뼀 nOl Ȭql!ܺ1NnNh) g{ &+}`SRt)uf.~|ѡ3^8HiZ̫S"k6$@* 7fo ų{<t73(+R)(j/}|DYA?唇ɐh=\nKB$2^UCJ5*}i)zj}FLyiFa4텅yu>Uw's-;[V4ae,a=Zf/pwUr(m|ͺ4U8tޚ/\/dJGXߨCW `c/ű- fH-}Ics6ZM~s^Jv=|]:`$UW*} [:$,olU*(rSv 5EKlO_^GWxKvxҾtg{}~q1;~R;ckدz(ȿ~Q/Mpg+7*Y=FMǛ+ ^$6 竔2Yi9 ,f%ڠ}A3_JJpa-ѾEվZcŰ8i۸m?/wUbj+t2yKE:v)3zg P9+EIW.Ny|A8V!oh5L30 JLr_#Lj]_w<ҧ)H<:7Mc'*ó?bl|+oT`0fDD]XP x(A'[ R~7P BA8:{ x +#]Cde10cy۔ysyLpݚPS)DFO@ L~}GOhV뒔0E3< = z b\?q6&/Śo(B9Ρ =) J0Xm9G-ӅU2#0gHi8+v_tq{D BDQZE"޺^cHjgغS^9jH#wXՁ4~jawM@ 0%G2Ϥ%$zfSx-˲iIT 0;CY8g䈈5>:FlԱ$\A[!Vfd>nV1F4$Lux%?ioW2k"^(egb_m̲L* A`Ep˵ V>l# D\PRYR2w6=r'uNJ@YUtR\zJ49k"+Ns_vn h4~ZRB MY=0ǻ14asW":c!<,dSwCG@8;WbAټ;)tBix~b -L6~Aϖ70xmޠ,|ŁTjF2SyGekj^m>+69T.m;]on * U.,Dzk R2da8y׼IzYyУ7/n  =[Ωh;OKSc ق!1T7j q}N` ?Zm41yV]^Rקz/eFͺL39 O .719ϰ)N|>cvy0W5-.bm=M[G]L=ipϖ,kx=;QA & e~޳^9i'MZt$-F.Rl1Ƿ^@LGD9{ "vz ߱Xt`6}⍑덽}Vwln2L{ʹg(3jϠCX@9=\c`zn@=!'* Fc.Jrd\GG?V؀?gG @OկWV飰`,\E/[?@ޙ610F#!ō+S/6&1;E&N _DpooX .j2]I$ 4f+3U%*(dˀ]-[M2wM@Ry@!n4-փK0*(4F@n]qnr=mSAzS>76nh ܿq˘jݶnˌz{Ͽ[W -(]1@|p!PY;b~*+QQ1h::Ѽ-!Co){UӐ]aO6 prK/h̃5MSAc_l_7Òӊ<5(.יߦ~yQ蜻ubP9 PȑjOy(poqICԮXXJp$N!PjQnQ\֍KI9\3ڃlY4mj֒؍s\\X;nkݮmN$TmZ͍W.mbƤ.QD͙+m")HG+Er9[-n56Sbrh:RPS1$M3S _nJU5wv 4RC%U{CW7}g|Ze)]#6fS%P,{~U#<`É9^#eX&dk=oK:Hό@ʬAen˴Ã!VdфI:յ !| 2vr=w0 KOφq-Ytʡ|WSiޗ_aZ+Zn$8Ǫ$]S7a$] `T9&y+EQQZmK&]4'rR=c`*=q_K lk+dێƚA"pH ?Ӑ=A̩ "|#AH({)qR}yeSz:(h/*Gy ~B怮*8E..K1YG9흌?+YAp߱0ba0tfk2L;.l1(l;k3- HP[UklV5jKFѶѶj-t6+n\mEn[{yQ`nkW5IR"ғ4m){ST)X%Bbq D{?[|,;|s\*k,Tpģ=LJXY7G?#&jҘZ9bۮ>@n(oZao\pMG R ZU` sO{wvlB$aINvYl3d,\F)$$dc*ߟofY߻-/"cSb~Z1(DPOJ)IO1P-@&%}*!C3BQdW$[ BL1.k qL%_UV)@+_ks͊Pq4rA ck^7 h?p&!Sn  hsiFzom8ȧxhU>񸾑ݕpp#7sT0, 40E' c0!Gg΅Îf8e?&9hk7" !K=!Z p|EwD!9qHA3^1OwMTmê g+X⩄mj; _nc v15SV!$*H@"3F @dNrZ/GGuې&u[ԢgW?gG2'~MR§nV_MR[a(eRqݷTOC,LKvz{`V2Ł臌Qw8ԯɻ"bOhQSq.2ˇ!eB<$A]ʍVʑz!S 3ybUw AbƀfT%휘9wr& QPxUDa)Lf'2Q#&s fyCiϤ0fb) Qz=@t }]Eǐ)EQfa4h^gUD'ޞǧȌ3#oB,j ? Ky]^Nz9៹h(|,)%w7ߛ:LcNʎL;m2s,Nv)  ?5DnEumζ֬'ɉsхd%Hp_i#(ӏ`\Cwh,,it`B/Kx M%K7(FXLֻGڬ*}@Ykw@x R 76rYS*B ` orF,c]uK<;YO?wu<| E7 YLǾC `)SpŕC( O܈ Q ܚ1^]ʘ)aVX?V:ͯ7WqT9u>tkm`Oia`/jT?b~ Ə)sH}'.HTmvo,[SA @av/nqe,PTT?Һ:^Ċp}2ۑR" B!κ=  h0CЯ߶i\iԙx8FW$NzsAe34*d* \ՅƱ# \RĹ7"af]V 4 \m$Si8,B:_CjO[_v*H )6"$,uHgE:3 E:kq׋7& VYv7bK0UߺSkyGgFyC3-XO )ʅ( )GRvSyEQ1C@`kR8*Uc30Q5BTTB}U.894iAvkN42v( Ւ JRay%Vbg/zP,#6w"d @GDg:5Qa=.ݕgHPI\uOә UUB5JȞ|qolڢhI!f9`)f 78'o ,!A*췇S ;h/?>})ga`3OCrVaVt(zRh30jKSK&NȲ{p:Vu$9N5)HZzhs: ч.,llQky9ƳNZJ 3j Ej`7" Caȁ.gN'ytR%Ds!l kc"ym'&9﹌[cls4# 22 pj;CAb\1u98T2;dJ-YAi;;ǑA5lLj '!**D%_gpH`J(8˂yg=н4s !PL;qcuY8=(("Ϡe?`z4 oԈoL$}gxo~ ;` B g Ef4`IICj}-[5 ᴩHYM^P 0`́3˭p:ǰ9v*?CJ9J/wd<ގ8V=gI6 fSFDc2vk+=jn&iooR\ZWk7KkBp$) #DuI@y>RMewZΆS9V^Z&k7}Z8z_qsUSsQQr)r%ҏy7= Z[/.$F*s>U+Ocid1HR П:yo's+=r{ 7᜴m{fuu[duIyoSrF[8ݯk}k4ߤw~3ܑܸoqVT >vtRsw ϭjiu]%7=d29JOGʥ~Ս>>׌ۈ|}*iw݆Q!PC5z(l|7|]6Z>vue=M'O.=)DwDזdzF̙=hTihJzq J76>L M~'U1i^8c1ߧ1_Ϙ@~(ZfQ)I YɟN"F&U448۳0ܹ_n"B \̸JAJPDErʉ0 u%) Ii&0@B}!F7RH6L!cm74ip "ji%&dWI&Oof,!!Xm!p!mE$6!Lx2c'α h[zh5HU1R6Kem 'Zq%YwH)PpIwiM|%@(ZEXTl$=iĘ!b(%+ș"H2k,]K+jGA|+ޖ|]N!Xqb 0"OM M!=#I1ʄS' ,UDA0.'i5deB h0q! 1-bPNYGl&ePe*:+6tbHGS@fe2M֪f4a lm'[A#UiABօEzhbh$ٓR0( v"L-DTcK*QQ!uPev^n7쨰_ͭk]:z(9 @CHP8, ɀC\@G*W c]~ݏx-uĻD) F&`ZIlÛ@?5c%fhytRVf\dRG@@ۉ5_}{vOx)z@ƂQ*!Ba I҈^l1b*@RE$GPޅl=Ⱥuvv-ofˢqƱkz,=ֵCVrurn~#彖OZ|>boS8xoyKq&ټǚ{7q0˼0ަYSEYaܛiO{f9iA3{-s.t^ X X|.,!rk'ŢFOFe&"% t eU}[+~=Y6U@*Xe5+O'#>GMu:-WZIA97;/"EO;t|Q=̊U#T}m{t 7PHZ 7>){umwhKս)WuQ3v N'W{xwx.ݱr{yz1wsslٛ6k&s63%mm[liZiݹM@%4hk+ZFl=u36́C$a Kۗ#zʪz@z%gwC0ucs{8fR2=Q[(@mY6S7n;zh!k4F%S`Ҩ 5L6R}2鵊յ%}7֟O}tPϝ|{-瞧j;{OV>tUhNz(+T A[-0`9E"E0xfM8OO}wvD(>^l 5 ϦbNmӶwpiOn+0otn{*srѶ(P}JE: :iZMLzFڨJٝw/[Pԟ]7`p|Bm-GU@"vCć( cZ:p.aY򏶾ץa' Y^qR;wuЏN!i>:˰iw{w/3:D}3xU())ROB@i G-7e@@ wpt*T}ۻ뫊}9>H['fxc`w>7ϜRh QG4*:CpϾΌsH\-E\kx@ 4FLL #MiM4 @4ɑih4Mh@44dhhhF&S 2h45= &&52a0aCCAS৴SڧdSSMOzA0#&ѐz Jc~4Ѧԙ&)M2lT26LɦcD=2 hh4xPIB4 zhi2OdѤe5MF=M<AQF2)7줩  8Gw M@}6 );`"ďyGtAJV ,"1 ER!XJXUF6PP YXŊTbA+XA`(X1*ZLȠ,+X T**J²QR, H-QkAD`*(U%Ib,+*F b,R*, (J"*EaRHP a )8 @R/"$[OM&Ae3bOCBDXT; QX;{Iݎ'3UTT$9d%,#HdDhߟ"(X" dY~A!>CT՚Pk,JXswk4߷ Ph>n68Bl+R6uvoD``h Ar0AE1!IԑZTⅬ"%-:,~q5ӇA@X#}tCDP`Eވѿm4ߖ^N&z 0Ϊc KPR^}k, ضL>龊2Fǐe_O{4  fBi[l{KbMއTA$xA'@>e+NDY8Iל<\ҿ1` *V3R {,tuQO9\({+\Ñ by ߉C@H2>_g@O\"S_jilS%d/6l0qxC~iaADQ@+uk M٘`V0QtCmɖ K%P %5cck" V XpHΊ/QZ/~@f @d@z\|4Ws6"ݢQ.\k/SVlod" Rm(+j LUAB¾l7oׂ%\o?CQFXBDJ4e|_:\sDG~WH9BvD5feCE@9"J(!}@aibZZ$z't^RkΣQ tC> +u |~[P-/( 6e-T#VTe#ҷif Nk[ک&^DٮKƩD'=AF=xyQhЃiHΪv^O8h}^Sg}ZϾjN"p rx_1#%ZD+5=HDSD9YD a(46AC IMҽMGD 042bEH-= ˊ(nhgRxŁlkɻ|P0@w'i eq~^o'Ntf 62lu?ݲǝL4vjHB9bȁe%#FeDR za,՟qdg2ꇁnٰ59fZ`iٻXu6[ujxCZo 4aC[ɻE]e 13-T QjŽB@z(R-ZiFE6ݲ4f`-]P}lmoG.,JS50f0_ꡭl2#E7+tIH Ik@ Ђ oqBj5V z*Y(LjaBۛcUCslጝ1Dm(>UˉV*+" aqm{ Gt\ =*:@ !HQ%LiCXeikT lkoz UQ.B[Q B%̕X x>}Hgu7̢Te("Q7*V3dT,d%x/!u+LPW\Awf!IX!X,bUsG35K5[VcuI*LPV2!uJH YL(|dk*`;qJD$|t!}Ю4s$s ϴ *oNHG5$ޡ;8uzk&c D IBͨ{ j<K<ߢo@ӒȅA_T#,GP;kԓ@!| {px&B=,'72X]>Dv5{q4p0Tt uLѥJ{/RpCRWesD'X}^>A{hn{.e)L^W4AH`&DjE ecXgT Z"VTȴcʅg Fچv.XZTm+1Mm$|:n_97 (cA*+ EH0J$bb*(#E Eb *+ ()b,2Eduqzz7 MIHA[LFcGnK^Yۋ `)sr~ ++UWlqw.^MlJv:dE*$A`<ӡ+Ƃz<ʺx<5KnrѢ(1 9YXHPPz'j^NWq\/W;V[,#%]_$3XL6] ǛTJ0d4PAjTƎmL`E-D֨AYRTca&7NoB"@cW95hQ_x6+>Tt2$vhUwn߀gb{yڱf `q$G #5"opՈrY9x#Q =LXt .X;ՐCݟSxwwHtE"|U$b1)V Lz/Lg k+Oi ̋qr֚/x݃JMnz횷qߡiUpK=8K]9O I)i*jWb ^@P4+{ul!4X Ά@ ks-=m0`BPhXX:(C(P y@P)#x=3 DhƋI@l-aI0O/(Qs/>O`t!W'k +:QyÚ"iyg/#{a !ox,VԱ ՠz[6:}: "!ct*Ʒqg__q$PpF~3JIQyB]Xq_aBmHD趻GB%+p`X 0yjW3Nf ۍ @6-n"^gɮ@)5:r$=YD UD5`Y<*Oy4j>:iә (lyNunfNãgm %TDWMb$-,զ $XkjĹE6Bn%M+SknkR,˧wD7AXU?}8r9=^=~>{MabRm3ڭ.A%D  ': ːSvIR;7ԋEA#EXa\5&0ul Ibϯ=JtN9tb\tL[J*W߷ ! llĉ`IiĂNz=Iq]P«rN4[:)fr=BPs 0Fu`ܩ\B,.JF(Ѭ\˴{3<{N+*5yk ~P-՜N{uѹl7m5pc!ƽC ,HSPnc 3Rnv+J}Dj  ^ &FywP2!Ȋ#_(z }},scNXZ ^ 5A )=/m+xDYwi_w3T<("m]d ˶7\A/slw]Ҙ!@O!qh]7(Bh\aoB7EFoI$IM{ԍ8Ky'Αk?uزv /C _ydCb2#c a\z?=3"8ƤfCH hEynSjNă\8a.*TV#"hJY =_g"}nݿ`1SvcN"VQB03wzem<ٍnHV3H iZr7BxTh"OHCШ2&T"@]I ,)[b:5A"LV;.BeP@\: OSG|bzׁR='~,Ǣ9ox$>Bʩ;v5QxS1~o𰺏a^z3]h9R^ xXW5٬<Є>Em!ȳ)@ݢ% ו}CcG͎u|7_i}ZF(10 +VkZ招kLUƔ7q޳a,&CTl+`݁Ťg{W (]5xU/]9c.ya eyxŖ>zJU*6{\4BmmXctzlpRBeYHSz;_$$^BqЬDֺ\CPo 6m}^\븽Tl@qXԐQH+.P$H \ Za C'v-є&It5˚>_Ia5/C:=@[P;ofȐ{k{u5tf?Fd1G]j'x0:K? ze/Nl uc1/ }_Aޛ{%/t)bD ~u;s-;]uX03HP7k U=߇@7DD"2-$dJ 7M/}!NM2@0d2D޻%j]dUz,:st#w">8PM X>c2y!P@@>_:(*jMӯRt[Jt8^֭ 21w`D(*"1DEFF $T`A( bH*FHZ^kShɦf$;9 COv*-JG(ĊY"Qd$UAdY,UAD@X\t6)SMmcR[цZ6UQdb0`F(PQ*֠smsw'/pZPAEE`)"AQd XEbв`H(,YIUKBF(HI:ث,C[ΛY'vb*()Q`("FEDQ *XXEUDEQF16"G6y"ǥ* ň(@EDV"EcUTAbb1j3ltC_ȩy*.w;K}-B+OiQG?V"J,rHUeBJ?'iw"2ׯpfԒߥyŽ"( BC0Q)iS@MwuN:%,ȩg_tTسp!D6k<坼0<19Ȩ6EH>waHG1YR+3I_Z+Q DxkМ0N?KuxØ˳{qQ7,{ƻB@rA {^\ ]D(DOwm~6}m'_Qt4 gIې.} JYm.Ң"PI')'W op;jÈrK=fȦA@KYC2n!"*gpDЀ`% 'mߛыMe-.6)GjAݷzOC=KPJs(3W9λм'P *AaBH*B,dV@ 0".N]xy~,9=DYa!@Geb XVPC%et)S)ѵbEEU1PbF, R 0A)IR.aK*A``XX E$8PY"!ٟPNԀB RJ$@iFʚ- ".K 4MC! kOo,A@REIXRe|db `yٮ6Jn-]NGVnZ5*[hEx'qH\"v}ogJc X"TQUQQ,cNIXk8;N;&V:0D9wn2fg;a^4H(H|NHP7}>y.`*1g +s֤¢ 4씢'%8,_0Gf$8jݝZAWBhYwLwk8D_B&f'xGNgmQ_]!0<=@ cR%X!AH~ڇ}6 ,+Κ:ͲiVشً&Y1Ш; :DVY<964lZef 0*e*ƑZD-Ean`j#Ni!a˜z|A%jtksegDQVh4Zڨ|lhz diqۍbP:q$((t'i %ι.^Ny -j1\R*`|ǧff<^yVvQ)D8K Oqh~57<;ɛSa  u:5UYb4$&$sף:yo披kHgeN;M}tL'VNw4ZB ˌ0u8;1H1aGշg2-K{y a'dbJZC,m"1H sW"MV2f(+ leO F9]YM: 7)2)D;2S&@+!߃3 6>wARʔQaU".dȂGd+'M^>ϟ? =HVCta Ź7[ax$<\1Cك~<Dٝ<U(.EڗQ?OFJ(_Ͽӻ8`- VCAHf4oʮu`hɱg @ϛ.,A`q+yHi"HP"ȏVHԞnmɇNɧcf*Ͷ)Ykx3r܍QQAEYNkZ2DER Cbk~r~`$HTÇ2oQG곭4HAˇ+ҵMpofXi%X̠r0R}*D4@=0(NeHLBY *92~}Wt%r %.1PF&d1£URo 7X!q؞1CTonT' uZ7C ;XW?~oJsqw8&/Zg;YEKM!) Gow8Q+I2 ĸܛ\nmw!,1) g*c% Ͻo"Tӽ'Sf-u̸<Lff=[zft6U * Au3+@mdUT 7? AyՁBdݗ5؜CAx"!Kx*b@I>g F3邔e/OfO6i@.ȢBpK"yzE. dP;Ao#0d:\"N`xU_` 0$ y4OOsVtU9RkjTԮܔ1A )-EZb ,mƩqd;>VՀbTg= ",b〺ӇG~y/1얦~cU/oǍVj%o@$k.>?so߮Pn$h]C{miZ@* u0颡X{,M4pRmY;W0 &&@[V1˥'Q-HB~n퍓mT2i ]*E+(QXEh4w`0SdُK'^,Y)h-6Un]fBV! [@U^OǏT B^̺w#;eN)CNO1c#څ{|/eK{㮦?9q!R-afQ2X,>MF XfX11#$ZF*x]`6DqJAP`N8 _áRkl0Վg[??wJU)CbȢۖ?'xBCT^mH)MҸID,й0 !ԶҜhAh4PdA0)&Ѣ9| h[>i,qЮ~3!!d:d}j ~,.ffX2um }DB" `5V^.I[jチ텐궺:F9gt(@@&X*dʒ67FT%HK)Yu:. '`E %2ͫR \ EE/q GI,o,^tdV߂&륎~Jf 6un!1rTgI]zPME.cNr;pW PϢ+9 *b2 ?/[EWk8Ӭt{nH"m7d! kLl$v4~jJ:Kl/фWb`4_ A@c`LHC臂5 } 浦Kőx`*4%(cβ{nlLUEcKo"hSf yV+i-j[ Ve]^~6`-8 %>rȐd2MYXshZk@r\yu$Ŵ0(^EL7u_+B͋.iբ~˳ĥɃ$H  S`rQzR$/ 0j%؜pra멯%eԔ+173ӻ̖<1ȃqvfTRD$ր><#~o#ADH4T$2?6R4ślMM~o=.3v`Koݦ09p.k%12 *;Qz :B@95T*O|\n|ob~}}nK&P:;::E)KO;zI w-P@agw]v QexΒ"(Rjw.{iɝzeAq h&,0؝sYsz|LFB8y6 U]!WSM ;}W,OkZެo,y 2 2Ƙy6=9Tς0T~_* "G> _V47 Yaf :qWF֜n| n]!Fr'3^ͨRJEZB$9ABH48Ǯ］-aZgv`yu²S|ʂUf"f ㋬6nr# HR="h"y?Bk L) Qqz-ne Hͳ >n:7҇QREqKw%DM@h1l bI3nHOadDح< ]I$%#BYC%LqC&Z3QEaTuCm8eӕ&KgsڶIIk3^!bDS]6[Uyu&92ٔJ˗>~>QD>8)AgHņĆXWUۅ瑜XPtB}|Btd:@j_zP b"̈MV= $WonjSKZ Ha"渒Bő@>r2`37m62!BBX)|C,m{+kqT}lFEqSeu'++Eџ) +zP`sL ъY+_װR9x%  6dD٩6@1{'(U SCZ܀ - 麺'uաQ*\ P\Lڊdmt !0ˮ]Sh hfû~QB|[K0W{Z{#zs=:gY(M"" &%Dai4qHR̂Fh9]JD 8,ۮN >\f* 4ld}ʅAXPHrRxEgLqQZtp Rˊ2#UXW96A9{xᇣ7xgV zgb gO k u`tvLy ,dYI&j=Tn [}(x'Pn"zc&鶞tuk5FfEfKdžL/SRx9(q & %4gZ5~b/+ !^GH|9V\Tdo+B# o(_n:s1B0v оD 1~r'p96ڻdD"24USшR-uMu u@4'™1V0X (ot%̨X]I~8zd4w~G 9ӥ,&"|ZZlɺ_'N\ ҝ@ac =FP_]S).\kBSA@@H#{}K>3'# 3o3 Jl/r57,!J"8PɆ܈q;!D$ *oX@Z$C3@.D! 6ԬRVzMe7MdN*0wkjK+ۄ* HNutNBls`bR ݴMq;,h6g,*6ޣ7b7u5 da&'j8jDD!9mn0^Xm:isn<6UJR р|JCRI){{>x|m<.$@;1#zO/ )4mmE8c{g2$=%ޒ mb'1/ @YW6)PncU)!љ59>=X$z"gаx{>nzη ;r!u7"kUG.-t ]"9C) }Wk4I0vH X:uTR"Rd]`.QSf6<RTL/I#(tuiK p`6tV*6tBQ XH7RI`'ޚRUuZ=4S% h$  (BsRd7eי{o]BzRMh7k+yWvnMѵ@jr=0`( //y -j쿪np(֚Ƥ^8R%b@HgzD nb(gD}Lu@, !1|lwWt雑\fܡA߂޽n@ŽJV_QE^`; p(x(D kK#JYzFALO(]:ۖo>uTViҔCA Au; \5ںK$Xma *GkBd= g:xvdX(ʞʐQ4h8RJ P/y zH&!&xFMJl2͟  S_ޮpuEHD*]S]Tj&֪Up A|x4&f1@tKZSVf- dڒf\ 6L8hÇ]& hwTۚ&J0fxRm|O%rN&8%1ZD_d9f@xDrM3L^nnXK%BAT}h] $وɚbk]dqh1cIL5hnsoY+ `QWक़+ka]Mf{`f ea"!P2Y͚KHnO! -kEL3L %Ice.5˱BG">r]w/LPbM. &ЋSL$y6[4Ivv>AD@Mٿz"iڣRf2m ]P[hR8ڎkr FkbWcӴ7@l3ð 增i۬;ȉU载E+wl_9[>omL;)T604׌bEG0E*$i:TdAތJސ;EHG:܏_`cp02:EЯ4iD @@ hyv9H2my2A)$^@֯5."`eH!8hXI4)ţA]vYcC1Q|x{ +YD2e,pi]x8׽K ~VuPW.jN@h0<:Ǯ.}>p3I0ʴEWodɃ60> 920S.PJ<.L2;uQ$@!ߧ1nDđZC.HLtdBL,XscۯUt E6H)2;~ @ 4V·mBYƍ9BrĈqLeg{vmpl-86mMܭTRhf9)h`4…=icɳ+HW+0-Rޓ`HFB2q͌4Ek,y.qbp!IZ41Bdՙ !YōVr&b_V1[5Aʤ C/jmdL =(=l<"O>Tch|zWVNL$9lf$5㼓]hۦFHmɐ+y^T89jjNhnxgcPH7!p_,#@Cu3iSUfi*2^ rY F% L"a"&kūp˴(a.Hl NÚͰX O@Wt=I! ۵|~, ;{=\u۾eLMYa 9ux_Cݱ;: Vw={PէK@XVi3C9x!߼ <+c*mMpF 6a.h恰 w=7nyoI9MlH4uZ x2n!8$bk^W0ا)M0 v9{\wY$ݚa+\ p^B' j0`oNo&A'3OC &^ia #sye@5rK3m*1%o @Lv2|,l8O~HNJC4 {:bXNVF* RM|Sq&ɉo&ny.@|},{|ɹ4 PCH:Pn~z6. ]I,>@eC[ƍԡ-QŘljix5  `$E2>X Ӆi$TNHg?T$BpƏt$:a#zd,[ 聞(6*jP  m6wL rdEt9mMjFLŐxop nVXbON8XG'!;244P'.)&<8ђN9v;`$7nvCq d ?h;LeI_bZ 54ɄI\h#dݐrICdm"CN]jt`vl 2w#l>`ĕ!Ӄ{4)<Cɻ$N Jx: nɌ!PIru<!YvwhpE吤1eJ"TWE S"݁llݕ$BN5 0~:rHlPOGJ WXBlM6I8B͒ut>,姛9:vfD PDn EsEU " nA_} ϊ cH"R(4A+lP $@zQV " T6Bw'4$0P!lqAA `3(]詊PU 0U) @ `b6DkR@ PnH}8EON C;q`H ?" Y,l" EN*APA 061 B }eaKHTB)"&$A@ !*#|D0EO P( %EFEE[AP(" (@D/xA5"9bAd MB _ŊmA"H(~DC0APL0@(@km(.X[E@ tVP9l X"2"-DU-U|7C@F@*`H=H"_T"DQI&* QlȠD@_y  'ypTUNtQLLQPP6! H(tTBDQUHH%A31QLj>"lPX(X * 2  !*ET d@QK)dTDQG(X"]"⊊_A@  u %*5$Pj[G@M&-E}=2*af+]QU/Z'1rS(b|Qa5&l9L8WT;O,/YS_g{"zEs2t**Z"sq~5QNsIN" |ܽ>ji&vZRZ}v `99mhlRȉhf 41PN xj({1 d?y;]α#[BGA'po%H>\Pӆžbd\;Mxp$Pz2SAR‘UOADT4e'kT^?Auf6*VC=K*t( wf)f馡@ 7T"bچ-ȳM41JSfuv7#EDAXfwz|8P*05}^Ku"̽(; ~ȊȐ@T0 7E` }5dѲV`y:˿^s [^dE3yD;lA$CptN9O $T=>TEDP/97lYma<Vyӷ.̨uS(g߅m5fjpe};YQx(@T>n+C5qPǦQCvih:`f `M ˊx } IӾF]L\' XvߕhS]\~6/iaCw,2Y l$w^2(.QE u5C">w{D@vu< kk@mÜ̻]ˋ㾦PCk:~CkhˆHPZ!DɶXv~1`?R kDX&doWzol:Z)Eqjޜ7_so=2@L[&98yEU992Ɛmz®DY<>uТ8kX.gnüR(!"$`2%U( $(*{9j@XBNlsOZjNQkU@DF@TT@E YI @Ǭ`:c" [0!=2..GM 4ˤJ0w>P@ @JABMv=#v!;D<RI5+5@w=>O'AӍ">+'YH(igٱ}gQl(:ߛ8-uNB8R!.  B?'m*$J*<$T;z[$ z~\ |nM70>Ctι?~6;}zt "Z (!9{n[nFÃ%Kb<_!!BCMmաo." ˾rI-> D=/3\y }qCaXb ?j s.՗~dQ2^k!$ X"H8bR"EQ!)ۣD`'ޫ{qK6n[滭%?-ͮ|7o(-nKe1B<.i0Q)S+OFoBͣjӹ\mGv!vp³)4FvsTQF)]-0َ;ni\}jŊV 1Ҏ0yE+bF"(UXX*"#F,QU('-ko!ıAb QETDmpOp5awnD˂c"UV,E ,e-DDJزF*[QQ@ıDBBGh:5`pM*,ޥyzfuBB@BI ᫹OPl 3N}(oܩI4,|i|x4N?|OHq1_97y%"|0:Mi}1X**,FzфO(e[UҴK#IC%V BhHk93Blm+[>_Ҩ 49h2_>."݊aa/񽢿UN\C3NNcC4$xiHΜ0E@]\k)jqmT0XTC# #xCsa! ( {0Fe G ljKU ]ww,[QdvuOPQDckYk,Q-6QA * HL "UQEQLR#FEQAHm*R(ԥI_.sH&!y$5kĐ+ACeH2yX >wZ[m(A1@9K1m+(z:1W|g7ǖx* ^;= 穫BVT!f!>Cqԁ!&޴zg.WGwcY.ȟ{_J da'BdI"T$7xP}e±ve yMf[f@Eɚ,&B BjXcFsfsc'\yf1Rߺס 8ɩlzaFD쉵PPf,d0D^X1̟U!77BA6={B@ɟϞDʈ;WX 5tBcj+F# ^&>bQJ# [ Rhsm*zY+F*ȠNHHX*^3:CqYP :z8\ P7V˽UuuQ_6d$SɊ"wY7ly XcɵNטz}o"ws}ԝuöЇl*GS#uԹqXȌXȰEAVEYAE}ˇu7S DTF ŀ1V"EHTPYy 6آTs&kZ8a#Ɓզ"EF"Ea՛b>6@:~V; a.I$v:_eAڞϊ(UhCOrq`T*~=.&fIlSɘp.}^I?|6k<캈bҐJP!$CLəd spHM fi9Uj6_ݶ?wbEv02+}N9&*V@}\.M}X: ]Xm&:Y-1 C5@X:o?z]ѡ[y  n|Id[{@#!$臬9W۪UDc]KKj N̟!}+oRا戝xI "€|J<9NGTHꎹH‡aEq$-$!R#9 A*:٣cZMQnYy/2YVn/@X$Yj/Ԉ&vER4Ȣ * 4Z1Wl|:yysTZ4~.ZBX(Gh(k*@ڵAi p(<+RF; PA; ߥ)F6k2ˁ Q- &%}Og# n0c|³^qg ~G*@&!E?)gO/zX_dJ=E c_]7r߯| !a=,VVDR wƽv(c@Ďw|9T>.j峧_-C3ZZ a _^[x^">-^'vJTFIdX2j{X0tp:'YM" }"j;Q)cPSvRu(Zl(0od*w!ّسXp˔\].X}g}a;kLb T[RՎpsKuי Az.u/zVq!ɟaKvs0(AaT]mR+! !A"fT18@+`F]~j(0 3*})1P!1EU_@M\տ hN*ː,)s0$y/[Wbo;!M ,U3z'>DPs`y j|_0MN9Z; (WVta3!s+\uu3O.2dV;aMŀpٛLLkBnUv,@?SvЊDY0`TVZb(MI±b+H0ED DX bE""AdY`( DIQVF@bVH,,dD`E, R"DPXAbȠR 1BQQ ) " R E`A@",QVB(,UXP`,R1EX,RYb0,) *EX@QH),B @d""  @UU F+! ! E"H P(B( 04CL{yVT碮TL=TF;%""o xIʂ(P 2A@D߈(UC12.΢ _N"8ғ)tlET*BʊDspzM.z&!V-$V)#jII #}쁤pEjXhoEL>M(f.O{]|ITAq (nFy\uٺ`ɥ^f& VjD~>:y?*E\E2" "#APT3;:?LPQb$$HaLﺽ(y&rOI 8?2""EQ þD<@Fp4\@GQ;l$RŊ|g4P}TF(6T# 8Yo)B@opPN &SV,3B#Iý!dWߴ^" >'#EP@7QQUPU"EP$CE"lȩPTwMI@r"m`|h #툤 bD pP:ؠ@96GWyqm:+QfӟgbH%&I)1J-ʮc;D| @ DA>@1(!liEf2s E9>C)()4%D"ܜMXjϢ(!؁܊( *?[ðDOA|LO%z#T~ M:0pC߈!DL?-sTCcwpT}8>4/X gr 4E_B c"~})ϩ>~_w:,7:R{ PG4 L@Ša@4Mjvƞf hqwq=ay[C Xo \FAC tV.AS@U0ZɦCo%~4. Y$ZA,@-WDOWq"܈'%j9-e;zqE@=h6㊶uH*&GhZТ,  WP9ABQE!^ r E@PsIp'@CkcTS(n*=N( s03Z:1 @DŀW1Y0E@ @G"* 1X>nCe P=E3D:qVpF؞<{_M )M Pݹ|g",0E5}z! 5 B tF Ђ`i#SÂ!ʊtQ(ENoТ(Xz HJz|1f*QE]dL^N uԗ#1OK#~@gOւh bh 0t+DIzT@ΑΛdÅT!D3Af*)EbTUN* wQ13qD1z('  \T" 3z0 ߱E4-ER eDM[E |A|62rI>Bn/4~ﻂH5p<#Nx9AM$tBЩA=z>5^C+N[,q 0\TD#ؠﵠmD~1QE 05EDi͸[UT2 Z8$'͈坧ZT&`<_Yq?gv@QN}( د̧jŒ}Jq?ԕPZ0Ij:;7kh*TRzho,|`S }͋%\7ٯkx@Q*X'UO e`o!l\m~LB$Lݟ]*vP`˂0eBCb|ۢ ] ҄V=Y/ )E?I+4"ˏCV<@(S솅ǯv˱捝K6_*" 'p;FB5D*aeXH^Ki$dj]Xw '4;0*.)e0v!m|ٳ B?K8@~ܷYR jt~kŬ, Z5NY -A|Y`p8BNk>,eKp7N;]GF@a /ŀ9h0/s1tohe@EDd,J L#@ cS.UT AmHLw*HsDzBhVX"FkF,PTt]EjTTCTWԷ[k*722Ԭjd@\kQ2G6ȁ KG7kxm4H Ө(fNHj40{qN]ovyp]س}[4"; `vQp>fS43)^ 1A$`L n:'Nb6?MKr%q{w{xlA6nle)] 0 z\@<+Eg,X` Ƕ6Ə/qcD6mއ[YL6Пn=;9ˇig!@*_("|+n{34,m b >ɭJi*rp6#P'@*J"ocs/{\ޙKS؀,zH. @Oy4H`TѦQwQh:q16S"( ^Gp.iFie=5=ßt$N&yazVvULB/2ro=oXHU],& P/8|Daw&OPɸK6f)uʃиx*G<.j@KsuCKn6jA.bߤ}<=my~7_ѽ6WP1wfAUfx}>oB{߯ҡ/B4Bc D0I[ 75x"4k P^"xI{YXd 3UknDCF2bF /R%sd!~ݲ`oԏgɐz#M\owF׹ O QȇPE?bCGKt:KFSdFq=n_ݭokˡj45H ͛mq|jޗぎLU^l50Tb8Ӳ|(UTdR9?SdD8gի`g!F4K0ENLgM6bBLyNEe޻&[( Ntߙ+CCj*ӵl㸺^)l@0y{ZhttYYoq d,⋆ K{էW7Flų&Ӌ"S,Xg Ck_:[.Qȇԧm [⯁Y#=b߷< T@qM71]Tg뭦]-ls UOB(N@Eto^Q&_f_ ݯ8Yhqvx60R k3| ꠨35H}h,7*ixrWT눊e׆i!xTU܆(>7B DEG64`^ TJY*A_.ޚP$\qܞL!fsf( w?~inNCӿCxo„ o|l&̬_cPa'&=۟@Gv&#jNh(=Y"DV10fK=&Ć9gjF0cN cWp^H?Dw$yGZYea@_E HY4.ڻ<iΉ"#ŧ׽*I%7@8D҇~Ё~( 0f,y=maD@[=G[08(Pdq8Rma &L↢4O@}Jxӥ_/qcvT(`, & x(ʀWd?~x) f0G0E4K YO\ zomvi!4^ŝ;-l;*$3Fgu30P Z@RNhD$zū+u{|a jP@1_S8a 鿼f!<&d7Ph0@0e03}H@nrXvY9lvNLz8+sSEpq A@gWCCG>4kz:BBEVo |OeP a+|wacW}==[6o6 #j0QYEs>>;Z-znqA!?Ϸm֐]qݹ=B@n7rNEeRj| @"5~YklYQ9؞.q`W!S6I-<ϹdFҗ@%{|Q{~] 70P)Hm]{=xI 62HsѮGdH4aY!7Ɛ Cd@CfL$GOctYJ$}aPII Ad %EBd71qiq[Hm"-Djyhp;}Ul M+gh]QȨ?vBs|J *n,B7}ysAfڞGK>g_>3}ʡyHB;cωz[ :|Ю }_wzY~vwE/7ᓣ߻sԓWi\xB: PYw*"x{8v= vzAg|G}7-Ƒ|+Bb 1tFr,-$R (^? w1JM  n >Td.*B`t fkFDL5A` D"̗۱>Z2׻hb?5[u͖3:GtV57 _V%VM%D [,w4gE/Z[U>>%Nē7U= 2%#s;Afݜyh}(`6otb5p5 &HןS "n٨BRe(7A`#~_ܾ6˦%p0}4N5Xݵhsכmip] oŀ(3`De)V,ɂMGH+wpmAg*FzT!Bt'}8tfmz|oOJ"Rsv/7QW2J:W(0 N-O 3*%uc<"ęQDM>/%EH Hi$ǽ9d.=tj팗0s=Fil"~VP <$(yٻvmaRs݉i2.FV<H@~X.v(`߅ZA,WPj>*N1!6Ud@ۙsD]jnM>vCظ"5{홐4QU>\T@?kA_"7=_C<>&@D @%>^!Pbty"|kָ:8)QdZN9рcV 6>0\{d\^qA>mG{H N~ywZ\]qqk &U(A\z>v_!Ir{Ӂ#W"1z1 qy2kޭ0򷟟v<]<$&MMbgyp@ܴyYL=v7G~zxn7sMY<'MQb$d3Z<0Y?Px2J?ihGD@8?d`FMr}F[ڛS@gef՗`{~;}o>wg01_h(1/p L{ߩDI`gt\OG\5eFkUj `C"5mc ?K`f&tB7b H(Nco+G&Tf2HVIJE0(yw_i|Ř‚)ȲK+A R=J D 8y<|w 2;DQHixm$7tԉU=ڔpC B-q (?.?u\`#Bt16Z[=h9(:-ʠ!&ۈ~u",(Te`bR/c,əȤ\( [fLCe֝$EtDd AV,TXd(,E# B1E@"1bP"FDUH,H,Y`J`, D` ,ugۗGH%Ѧ8|i=LYʬLQ" bXEV"b "# X ),U",P E1UEAH$3Xa;}v8AHMJ22%UE-{86"' _5O"ET;D*'DXfJ1GȲAJ%(s i(rd1@Ȑ\j Hv 0Y QV' ON1`H"E RDX(~MfbbDVO@>ٱmU@V)>Հ)bB6Hc2 Z#$3I Eɥ",cl$=Yvc PVFH0 `n²J !YDNЪj$Qz& bFpꨌO$RΌtzNL:I5=>P3,F[yML&Qa ޳Ngjs|/D(`8q% -n&M|481},UNԤvjdZjkANC8m1w}?yK*Xd @HE H, Y IQB1`w"3k6(1aRp&I\HZa)dV9 FpldAaEbjQJxsE (a(TaK|tq@- Ḭ`Qag={reqRD3.ޚb?`fa?"! *)G '8$d1=z7wB*)^5 +mvCDSX1(V0E,v-t@tg]Pd$}RlyEOZmWcAF!A\儹}J^LDHADjvN.u-pi PWSUۈ L naCtaNO}^U_?N^!a6`. c%Hv!6N}6}$4ݩ媆rY^Z$aG{aPjluu].M|A,kls Rd6@\`-GB#l1v(Lm$1jޟ&J P t7AJ4cH:2يVPd$ iX}:ِ>d:o <9/8:BA @5Bы% 0"$-TNv@~o$!7zwkuoݛӷAiD;qϙv E_]RȄ^T譀)NK 0Rb(V.5ӀjYH"-AVi#uy;&8< B4R"~j'myRk >k ՠV2\ 6TaV̥[$hK;ҌP0qE)7²l$+)- !cQVu2b,2JȤY:͕ b2]H`Oj D 6pڔ׺)P4)iEg*.̶-C] RfrnEh%9o1^͠@FBne,j_lDC(#B t#dPAx PEAK꣺ҏԀogGAW}S$ZD=|r"W{pxOAr +EIY =$R2^ @VIԑ(R鴻hu*j$v#VL &JLD!H&$;W$fY5Qdv(Go4DX';bXEWS&pݢ$Cv+|)_yD>'QO@āC]Wƀ{T㝲p#b- p>qOeTJ,6>˞cV-YKA֢()5jVlG B8g R?Slj,4z_L vfu2Ay׮i!kEv z%1+_QpZnkxn˸(#Q c2Vm۲N#W\eW䨙&Qt{oW`*2(\,š pd ,IĞ4I.߻q~=oD.pTI6 Jh\%o͸^@MaPqSY'+g8^̦Ogq^~}$BEG ? @b|YjǍR=hJx4"+ &ew` Bi&AqV'm2D颈6hM6q0owQ؊ ޘA릦;8lXk[c6Y:ϼ0bV:cT!e}ӡ&#Z$r zjZ5.fWxuCMK8LBf"= yJed$wX:>g}fOS@c[}+fDO1!vui񮪻eNKU:n_8 ӸzŀUɑA>I]e$otg()Р9vrrDucAB7?;;.X:un?m~"w;@JDI}AZ6[3ڀdlKijH"omxtp2":&(@D]|'M.Rv (~߷Bsb}`^"X TU@$G"h+R."]OwE!98"Ǿ ^lűjbkFE-m^>51g!5@c( vz=` TRAP Ȋa-3pc<~0ͻ9-2XMs뎎Y߸kldɰzd-R\O>^ݿr\oA%装arcqtQ4@Qެj9l{޳ b2^8z`d/M I~]SI둰|V{7ZI7ΐN>)48ӓOܛ1ٗ_qK@$p  TSh@I CC`TaN 7[zy?'uk{BL2Ǔd2 X{sL !Lj' &@y3FC `̡38~dßdb_?+NS)ˎ'Vf+/ZcTi.tؘOdY*U&eWmwI`9x #J$yLrӨID#sl@h3\n?MiGE4c<\}t]N.:)19 % {7p1} 㠚-7qm \P 1沨EyWWf "g=Tv__߰[?u>EE /E^E|@ /l M(X_- [tO8ke#w~SC|@Q<Ưid\QO#+r |~?NšlĊ~$Q=$`ه v߅zJ};!`Yh(_jX$fzfQл?c}f9nLkvb؟hٙ`O}i?Sb~42x`RI-5]~j3r> =4Q{_7˺DbTA1.K^ޱ;oчoRnf_)^JQN7P+,/ṯɁ![~ʣ@@f1UVŒyvFU-qnZs+uFujባȷǘH#([0}WҞ"?Qow"fztjn&|Xc3S=NQp^eBtk3ˮL{jަ/0p^k:ǜĿZ80 `kA%)*"xA<2|ϕ0 ́B#1}?XO_l6Vb0.5YSϰ4u'D 7z +f 2/^ 2fBˉᰇq ԁqX\| 4 9'(o6Tnjdq֘pb׃|.:ՈTY?)ǓW鸙SL)ڀ;BfhN@]BO\HSեE1z_ؕ cщ+2As{fW+S~' X.z>,g>V:p! DdB4ĀRHJoJ<"ZS23&PCii++s6Xpxhj l>ߠ[;?4O13ط"&jBd$P(Yws4|?'믵Рj,_qf9o5#5/G-'ޫVA49AG4~= dL'ŰH^ϭ(|PR% =$@1r0w _0DK⠧.AD?χ yU6zF-\ӑBAT=QPE%~}G0 @bCeĀ/GDij"-}dPbD aٖKd<˲dzOq|X(FcXbM`8̕+Q0O(H!jcE|c?FP{80?ytRfdc0^ɑcG0%ctJ\"BjR,2Lu'sTP}aܘE`DFKeE܃Y(&HP?t ?0\IR+ϗlo}-.#tGt:8M(3jTE?a$6O]yo*@n~\#"Iy.@Б|S9O7zgU),т*}X QD:_^~*:X()5APr*L⢇zH~(} >D@j٨'2[I[ rpbO~@]$M_](u |Tf@ l ~|zxhDBנP``8ytw8t OBq P3_%e`$wbAgݘ&vt\C[ڊlkt<}:,`[TwTcɲUy7gZF12 \{tw'W>o}F^Pzs8x9D<Hz4 `/x;0-oXhk-RuX+`Q+>OϪ#i5Ϣ7.ȁDScӟtvC[ZjcjUXK;Ц("@UL:@CX\ػJmuN b |O "* '?W,>B w< =8[K46T.xF *I" |xc??:w$ШEPH2BM}pv_?8?o~u袁<3A0z~v쌇N(:23Dʋ0&\Z96sÚ?`am>K5f%W6oI<@ ^ a1̫"/Nd:b?h]a9 N@OD:W(bA4{`>80@:2[(",v󒹯e>q~OT*50 'Hy~j4=ꋇM)GϏ.ywsฯC {eKRLC)t]iUvo>{ sA7G?S @`69֓ZݺvwNy]S$L7A7e25C>e&0ռGYf+j$ .GOm)btxHn3VYurX5~6azѐ>\O~/< ca?Ri3A[=3T%[%rnA9}c''L6VqkGn}zgaFBE$$@3*`TNsq]WaC A"$M& q@r;egAaq: Е"{R@czvR4r]i~h:aguP6ga=HX D:f@~eH(F%^s0p覩o ȆH 'I>w }Z -%m8MApw@|Wb|'6ix ̏LbH0f`wR.~O,]s31Cy#|!>pLy^{׶T&7Q4: *^*GT>3Vut]>_6mrm15?U`;v5T l##աCy4ۼd)1U7vp 6OK8$#De5S"IrѱYWWq('@D&BB 4= ]^- >v?DH?bCgIU辷OJ".DUB^Nt)QSePc AsՇ( > ]`2>Ɏf>WS@>?VO}TMތAoR 0*фHĬ!e${_ +DtТ_?,> _puB^ߘ;?( |Z|dU\א2i@TSGȫ@O`6'p(nc@ tt4R9L*j" |]&r o[ds+ i_āE7@3lu҄c9xlz @: sk.|bjT˨k둈Q:_X&\WOd4>?̝N82Ϋ2'|`6Ʈ@hJɡN A;Y :a M].@pּ<ݠ|2D} ]<}PTQZ?,TIܨ}P扺VGR#Nz-- E}AZl=FÅi91? w6΂yuΙ#Ҡu4ձPe1_du׏YЗCK?Ǝr I83\" Ԅ |bggIԧ]@?P(>݉JN/"A}?TWځ ɑŀ<.TLWP(tu׎M#6cen"҂ ]ၸN<Q׈ e\j*1b4RGEݱ8I,wXp;?_y8ΐw!^\) !Ǥx?hOH\rxvGɇHziDA5|]2ZQ=v Q O\0=Zm(AҰPpXՍ%MQy?x}!~1 8d+<Q-a 1UDQK\"a 'Ci DԀ+)Bb323~JÈ.XH. 7؄#X H'2hP銩vE\5,!^x_B`٣bXr[ ]OC̼ x QeTw#%I"b* $PR|DQ-8JXȣ""H e Bۈp*s3v$p s*j ҅b0wjPfW=Gӧwrߋ|oi2u;M{p?H ]" k aD>9˧>@6H[7b;C% }r0Ţ)m Q A7 Z{&Rڅ &9z;+q@ڃ=3pNuFZFƦvp!&pz1kY%4!wq 3mS{ck$Ūv}i@V6 "nOT;TOՀ8Q$X n!`p :Bd)rX(EI/j6n(9:;F\h4#! sKx^gs9DBI@nTm! ^ۻh^qY qjٽQ m7jb게e,<,,~i ~úX"opIK P By r)0$/Ptzt@ 'E.9uhgrG*l4'JƮB*8PfZMwumNU[Xi_܀ןN)i֣daDB4ϑN~^Iό?+Bhդ6>9nT$x98xH3C hd ɿz]zK~ p L0 ߏ{Fnύ+&!flAx|WpS `BY]\@h2%Pjۆk;|6*Ȼ4 ꋔvwa}>`rzgnhb(tc*adn~Q}t BFH"^asx݅ZqPk؊lO'p!:Izݩ^O8A=lje=.i@B1f03 7t& 5. L(Ôzb6:ރq;|j0 xj3_!i =!a 74ջz_|ɪm!gQN йLC'b~Ǩ\dHg![ք4ߩ>!i3m6OM{7qS]NPG;Wdrq|O ނ&bHo bm3qG.P&t-]y8dh>O^mEwɻ) t>?Y`[yrSx\gt=(V; Bw7~4,HNGfLEFYv>Vas0X 3 7cË"d  6&ՙ6pFdE Ch""ݒ`v wV,-/E 9pz}`gg׉ڎ?Q@?eDYLZ<7 6!!*o+Ȯ=N\Z<@|CRA$|w>S3AUD}/~)%"k=w;XAh< 'i?(0D4` !JF,{x!H$$ #̵ 2&80YqmJF^.(Xipu?*0gjCQJǓi`.0f^-eM;|{ [^q w`bO~/`K+WMFyUv Gy2s.mt{ IP:[ B3*?I_rM2?S|!ΩDN y<>STJ}~E(aDaz?/=dNx7ZŽbi r!0"Syu0y6mN>rl)! `a(4AJ.x^vC]_k`V$:VxxoCRޞFy 2wx.~ÑGFqӎN/ ku^{8d@"tw$`"+A'`%</{Ϯ =fk2e֘.߽xGk|lrID˕1 O;lt?kr?'ݞoB:w :8sxF|Z ਐffa)@ VA`}oO/;4 `>DY!& 8w?CpW:k/YliMhҩ0"A?wv;1d`ZxҦ%:E65$GAV;ņZA*зUQԷns,`)tgV飧Hל+CgH4ƭC6]x8D OH>V>E8x58O>I8cgiP!.BEO,WTcaЏY$6уE.H1aY*pN 'S>^ 'Ca; oT6<m6nm tAC!-,Pw`iCjC(f d !Z[*Ok_u~nÄyϔ= &d ITu 9|;ە`~Z@Z!r^Xߜ`dә+^on*bMl|ouRg>^э٠"}ߵ?BFHfEVZ'ۆb{E><ݺOL0d:I @ "_U7-wʫ+4g  f@* *U{Gx9_nj7RE ,I@ Q,_GW`TX"Ӹ#W >Q3?}fnDPQHI$8bCHup$~M6!7Y ̏ݽ p\r3 bE"Zgߘ@m I k:}I%E@|@ !1>S32PC\ea$$hNR ? 9lB:+e^]HwEL5p+PA( 2č}v0=m[HȬ)\w=[]{_Llv⪝P9:!bl|#qH9!xQ vbHٗ< )2  !GBsDDA "r1b/Q7pJG!Sm9Po}$9裑&"xx1OW<(o[}m*H3$4cmv󴿾pcOI_~,n:M,ފ+z{Pǵ:AwO|DZNuP-4MϨP1Z@erVq!z*7h&Ӈ<)lSz%A2i0 BLd `N̑W~- ~}_zXjaHkEz;]6}+4]ll0oxFozU.3y8_fF}J{? % tԜ N_ڢѢ_"ٚi7ѿFIzm ѩ+>\ĝ¤gsS7~~'hi |,=B>fLw.qa#S4p_x|-XE|ZNzƥ'oiW]B g[n ٻۉ}8ҋg g"nw VE9eըӵMR? LrkSU\/dpC cR٘`k$ʫ^bqc\3IblE((I zkKV WL  ĂuQmKﳳ}ҡ^O_ǫ&S3n 4:AkIEFٗe=Z֞ Z48iڶ\{,T}OWiYIgR>JUnC/rBVB:AAڂ;e!z8+& M`ճG3"L~%/O.R/  q*&} -skm1-<ђJ [n'&~/ *dRgXXH弥6et_i_DzO3DLE_cmElT_v[G{g5{i!+\{Tv.caњj( ¦€M;yy#;r4]d/ۛ~~?t0EX@oj}USI5pǁ] .>J@M#!2M}솭,Vus>j^\&.[s7ޜ6;D_&W֣#ysחw3COYHC;eJ)zV, IRp\]7$*86b*y.ԾNmӵ02+L&y$ ˂c+CɎrt] X[{Dh(fkkb)/ Ro}[m-/ꥊm8)V6ĩF}_ Y`\\57: NY0Li wn%ɸv׾ __zc뷷véNFNg>Oo9zwpRDfI k|K?Y닳PYDٳU{')xҡ%5^3׌wF|X 3MSw_UJ1 eh-_{)|m$rFl5o?>"%w2_ϳrÅXˆ:TY?am6SOe0](Od:)aVѿ<uIJjo4 q?m[&mk[BGeU5_!BUF'[ 70PjPĽf,*5`0-s1ua":!]͆ۚ!pSj鷤b1-Ɍld30ck0G:s|c؛j2H[ʼSn./cJ!j'h%t#A\eSN{zzUj!9ٓoTMɸt W:9|Iݭv\T "dKf!&*+Ka%ϵv85FrȚ*snZ!᧥VN1B{L,(pd5# ȌFD.^fKD_ T<_v2k3$2nD݉mqF:YqL=I?C,S g~R_W>1MЯzjزnƧ>Gi"5TcD{Lyi5EkN MaXט&S׭јGBsƽ/oڡ%s5-uk?H֗UEˎ$w}_ ElM(Z\kދ"L!J.^DYc!"P3A,?O{?j{5g@*T*rU^EPc2sZѮ"Z0Xo&^@3pnby:Γ$qE6 An5ٷ>mj.K v]{uߔl"}R)T>&:u!h@D "V![X0?`?7@?z13ZQUޓ:6We!1v0,\](y32C2xYT^N !ޖ&?돚f O< "< ]$ W Q[inFY4/O]: yR0fP\,]OQԞcl4?ר%c˳o4{OS%_0BS~{Blm֨-o㉄M^8'F}?h;W독h,_X#y}{G烢{ vZ"5?h2 rBMwMa`n·Ks&ȋ 6pSzǤɧF%}kUr5?DjnZ[^Nz}iathB"5`-3dvYʏȆ?Uqk״+IӁKraXP `־Qq7 pH ug}\-OOPԈ Fݶ: ?Qe&_on˅CܥL^LkN~|ƟjJǷ+sy-dC3<]/.ǟ>H|&cA5KFuk[q)INw֭*ׯFf]MmBn[CIQzx$(W*:/pT3䶩ZDR9pe?#qfe2g7?(;NOSi֫*lP讍{+0"yewSK٩ΡѢmQT(INz^=H AI*u*b!II;X/e6Q^;[L)|8}t%?>޷&,նMhx@CܤZS }l3}~Ƈav!H7=~=cޢ 1њߵj_>;l Yei9%N wdVr좞kjs !ϑ_&d?iDk1 6H#V<>t"]?`⠸y_dEcy{YVsN Y"m+\@eq8=TfJջQܖ<4P"nQ8?C^צ}+}Na #*)y!ˌ?B) MHW|ld'#}pw%{q*Gmǹ_cY[vMEۜ ~BKGщRmr%.CǴ_TQoo˒5ygeU-^AxE~1As}7/ =gl6[vF'o5,)X{3Q lj[2.5wxu3aKQ*Uӑ]g_ ÖDԞDrng@:WC,tg1RA~pp+R0? 톭Y,AΘ 񀛑fFx.^G{r2 (`o`-BJD0u> J\0XmMY[WGVmgZv´e^<Wᠽĸtg]}mGE8HH2S6)&}TI>l#ܪ\f[JGxyODo<۪(rAs-/.4Y4 @>g+B]_Vt?ħ@>g?fjuzT`DD; XiCFYMRb,#mlwqe(ZUX tӆCBw_*o":wW&{LF4j cbd@t 'W.*}Hkf%w*D2)tkUyb!BD Aa_ﰷ `)?G@:tAT9 ==!|"3ᰣٝdip?h H6E&  &ycQ(ɅҺZ͝aqC8"gK?僿k1 }A$[/C>aHBJ^~i4yL֌xp17缎T<8;s8eRbͽxElxwN)~a56O{>Уs?Ԋu{z?9g{,_T`d_s pUf@CxPXkC̈́h qIHoFHP8B|C\b9:5ir(HH+IN}?f ]hДo9. ^LtfK2kùML0N2? <9ruI0`)89UtMfl*Reh9e~G w&lef#Lzi!%sHS !C0.meKԪ++ǞQ > k:iZ:3} @!Ϲ#aʜ5QV5oE48^%3(_֨IU 4=C(щ/'W(ٸہE՝7F1fMliZ1Λ<< rQW4#J<@lAtOxxHi!1qd<oTN2bn ̏6_.˖4m F!tJ6d0-KZzcQ6Gt,-OoQ_8%]u׻ 4BdBpwQD-ul+ƽOe U/t|eņ"8>f̫>bP ك(xJkIu= wӎtU_k#@^\Ƙ>J(|C5X_Fec"Ɛ::m*>Õ$_F=ō {J`%ì:eHm%k0%dRikBt%x3e ]J >\вVY59\},>Karv~\›h6ƽ\qukD_PIp0wp† >◍N3DUj+ҁtuN_g {) 0FbNd=7v1 CsE[N"+%dn8ըS ,DOM#G"kDkDD1#凇pT8\B![ SQ}pBW@j^"z9]ۃI(R+WaR@%§Meoo!(¤xb, D3 Zr]܍|`ju7izPy7eP;m7*+s~+@̙Kkx~D޺q-t4CK̀ل5XF_ϻ@SU2 ?W:[yq ={/Apiht~1ꗴ`_cv;E;L`WO[%o8[N:n~fT~g{ŮGUgVzaɓb*o܆d^va3Gކۭ/-|s>p~l,/"*S"XeiE&D2 ] wY+﮻吤M̳;c*8]' m/NU/혦Wt5#a9D\ l/,us"'+`I }E^SIih~10l$D9+LUVVWd 2ܥCJ(aDBܥ}D)1C`q|d2 ]%|iCgOi~לedWܟ*,U[GsG?ޟ3y{#>4| xKj<<?=CfVOXcmRCƗ#kO;zY%/;̀6Z"[r+ >$s>|NRDJS^NTj㄄/c3GTi#b2: =5ع C"I022e#xC! &#J#0C=/q<i%}&OܿTbXS5 Vdž"r@ *?[srt"4Ϯm`),z(qdEo8wHd󂌁0$0дy>I /𿚠!FTxJy$@_a} y&o)0\5K Cͣ?oW4Wv%^4B @q:>r(z* XDi 0dGgL f_/I4lz]lYLQTl_@!m?PvCPw&}>pw:qe-cDogdPa${$Qu CU˦t Q(M:|d=;eN[.5&ht{^hl(Ncȫ7 X53pksog>y. 00c;ewNzဠQIIhQ+9yhHy'{a 0>5Z+ 2P gCϠ 3̺r  עpPB?^dUNM C8j58CDW_"7Ԝ"3`FCͤP mвm:vwzk/њ`KW;S7hCKu{[bq/\82#YD C0#dѣFh'fx VX_GZ HSAshM7n~&D_ZkAs/yup!Gݑ66m2'{ ʡ}6W=uט b*)nfO!HClt ]\ GJL@ H|0?k'pzRj]ֻS>]:gjFL'֩\M^ /nXp*>4=pDcbz11pS 6{J.\"Xր{ciț[B@Υ>G(FT5B}QCc׏o#wdz1翮"r'Ƥ*^WޗCjgLs{nTrsM}mڗ^[sk'=ٿ FqtsM>Q߂/Nlpaˏ eLJS< اWYFB$"̀10S1s!A*{UrEW6` {n^k֤JҢߺIXeu4y{F]_ۥRfԕfˋ:̔ TFϔl3gC_ -& h>^JtOwXJYxZwC+_rEo+f1µUJظQ۳ե_^:536UH۩6T*fҗٞlU]r=YMLuyaS=YnntZ%ؾzΟg\bZz߫w:߯U *}5)H Қ3O mn-΢}MSHP2&6 **"L8k<'1r;nC| +Lꬫwfoδ# TYum?Wުh8krC v(yw ʝ·_;{:+*_B}^ʊ ff42K޸4v:׍ZOndD{KVvO‘ZXcQ)aDmةY26-| . eu z=Ht!AǸ5Z~faS󯽽>٨lPR W$'ulDDdAbuQgޟׯ=ljOXg'?=!IIA#'n 2dz-,wF 7&C$]:#0 0Wm5vҠ^;W+]w_&?k}=mCtgBH4}N*<|<zbfI'_̋RtWwK]}?*GNGomԶϋ ci{ɍ)5 7&ffzVS X3 _INɼ-GIr[7vV/kԲEhvlJt=WUc3v뛊ǒun$=J@]ф& Z>GDEAbjC5z/5qfT?R#&}6WМZv"9i8`ǰK}/zGrWdy=#N xt-K^_o. }.KB)tU{I`?^S.֕ݻLiZntwRp)?V=_N?T=UKW"S3d]J>aQo{{@իK\($.%>w/(rᲽ7=OV>R2:~{>Kwܞ_.!m>:M Q.N{g͡xLU?ekM?2Ḍ'GmD"WrƯxI3&LWB- 5{WnYyr=֛,Hf꿲-"(KL^U|76=3.7e~(='Q"sycj-F\Oxe7pk;=Mj>/[C7Լ]v՚8P6h5Qs'H& v -M_ 0m~<F{ϧ`dvUIV:oYvFv,$#~$ "{C]sػ#M7K^t@ma>{ w%TXP`(ۙ9xxԵ9dn -[%=|_y38}{mn~Cn_ijkew? ,0㷸$Ѻ $qTNE^[;(#C:Br"R bN:'mQQk>_쟻r崾f#*B<j#y4u{YR7K& v\BV1|fowVnd̝^)&}h;;}6]—F2+,@?'2‘0JNȈ$|:$ uf>)\SD!Ŕ1^m5ʜia @|A$"""Âœ&9"'@{;×9מ,RW!RMP^~=}Rk`uF00@H1[cA HkS\ga7EC)l:cj-W)AAy"ƃ.τИ>K&YׅDipdyiXTE!{@v3'bqpvC'w1AEC?p wp.q_̨ڼAߎ>Ӷ1ޜ？ywPLY3Gۣ=cU( ]ģĮ0^"Z}9p%Yg\0=Ю^Q >b~=E[)XMk E=LKsSiyFЧS1g#vG𾿱rU }EjCT_}ol}?ʜ piNgPEg)Ӳ#!{3CFS͸0v$wb= 4_i|?15ﶦ榷|[wVSIIf=k.D/@Ј>E/ uOks4)jHzD5V!hᤀ"hk}ܰ7* ["ikopr®Br;C@A!d8Y*T慳a$ȇjr +mB2n֢h:OWF@$?ƅ! 5;7DM@YPQ㣯kf+R؊ udTrx͇ Ά?$?JM3SJHdO >d.U'?'^{元3*I;M$wnΐŐ6GʍpPM?EO;D?]z`;&܇ُ2OXP1`YS k'8zً;ҡ6?ٽg|`RQ @ʊ$aQvIR*ip֪9869TJh,1nbr.|+hE)Fw%Ac&@,Ȯ ªc^_kT{رڦ[(rdj>A*|*4Wtj.byzgMzj1M+ݘvqYk-G/_CJ[/3T~ģfL" |?Re_XL?1W̊?s2W,y_˜ 0ʎ[S?nC?p=0'T;lO46AЯrH\ V^UrڭJVr 1_U$C*ңÂ;x.Ž} dQnu(p66G?^%A .=ƿq̣}'ES>s"1km}6կsTU6XMeP Ύ9 ? m &S{83+1tˬR^wf[$oOÆB# Mfh*F_ֆoSWmQ|2=U1И]q,{3E2޵[Z#=mf OqŻ3^5*;l+~d3yFڻ2ջpv^_\95 d?K7DUCίo?C[E_g6i!d+%Dct~2F3(|Bs: sR:7"= -N윻j\t5&?i_{̲d!@fm6_" ,=r I<;@a8?ZkK >R'^?}{!,ߤ O*ٚ4?.zQc.'ЊV:yC?ۻ@wocC]{/U#&e2"@o7װ- ?617HF'_ ;\>^=_^ uU@x+t+'ڀp4~JL|˚CAƝ$<5V3 QCjrϷާL~_;PiY"?P2EIޞ>Oi]F6|q_cjH%ׇ_lvPb|12Ѭ L/w^o78N6Bq~mB-k(yb%?cP+xM~w|znVDUmr %c},uYV/M:t2K%g̰K QGf23)fl `Rϕw~+;\p6H^יZ7uSSK}WR$Cw8,Qa$^87ERLȞ [؄X0AM/gÐHb bKsHUQU96B?RtI'?r(z.o^K+mAb-BG'}y}ƞU|&W簝1/EJ eB}ĔPߺr ZA쩖x_yh NJ<=}Mޢ'͈F/͗<թ>^׫Dn|T_ 0@ M8bN LZQ5LA_הrk:>}",)6Pfk *+kp*;ܢrBUjhMy: v?}"~\ۉƳv"Qo*c@V`tN$oO4t*kn[Ǔ?B㆓VO6I0G]HLЬ_X~F]fގ]GRKeLerYu^w-'0| +q&5B;_h)(zw+1'CJRiDB KhmR(Yy|πH4D ` HH1bf*Q%$B%u԰"Xz~ײUBmϷ7k-ċwY{;cϜ|<|@unMChpisX$E7O;u8{j0KiSCB%MzBTF2񆧘ơR0\$sO{⨿ RY](IqԠ`_Z:h5sa̪AAogxcwmR áf+"'dg#x}![mtVut{<fdMb"ZBۏv?" b6dDb9!/K9pO*-g(ĸC$Rf@QUv:]o_'GRe 9T_~@lD.#e0zG+?~./Egw?xjm :ssG+oN8?}71\7rE]ē1DzdLHB! >>y)DE]t}E$@Tc+*Mi K+1je~u.?nl-`x2l?bJ@st]4=agy/O˛B$<7uaaAJ)ACD>\I:6lLN'9nTA.  0o{g:ŦWU0AzwI[ ڰ|[~Ԕ=/ʦKL$P6쨲OoL)4 P:)и,LTS0tT[7=˴_O_]SмH>.zL>JkfхZJ" Wi-e?7EgemJHR*2AB3P[O*1]INz[ʈQW)˾co(1$萠9Ґ!ڈi_0!(pj^[BYJp<޼WIf&(B$>ҎW2Iuh7e {)鄘 ;.S?p\XqLSR ёWV'`hS-%2 )xj3q[᭙Rx2Pl#$% \Cb=M 9?YN;ص+= H*61~rvzAD/ؚ׃ M缮7jM=8#a]KA !:::M~G\z}Y]S@JO;ODGDŽdg-^AOd/og[0zǔ%uUs(51p}I! t$Є!uf]B6TF;=f ҳq:BʝtN n7|.ee[b%½m @88qݬwtzb;T?3l@y 4k)Cd6xS6dyf} ѐǵ_@AHpE3T6$j* ?;$q˨[;0XRNu*:oCN`jG*1=鈟+҃`l E5xG:!σ5]ێvu5f8z9kƝ'qR:z۫rXIGIc^C >AM xF=XIِ/wU"/ Lb2I; kWQ_V42/Gkttym+ugqd|c;T/j+_0(, wCr;@>nOos&4CT8 |GȞ>ɀ c6Ca+]eBd2ޠ&+\TCʿZ _/͘`9=bH0fc(zs|{y[f2:1|A54GyR&`aL !P|<`EA!_i >ӪL(?s>fqQ^DžshP0&@b<4gq@!~d!"uEr꺟EM_Y[ #֟|X?z_ׯ_'\ ޵Sot :WUFkH &zc^nnyWLEfԲG"wC|6.ow9T/lPst(f\0cNIpX%O-է`=!0 .4wt=xmq3w]6 Wl<8Ɵ" xFqGBE&X [WbMU4P)Cw.uԩlS*{3`Qb遯G?ͭ>N6-YЀf+oowD , eL1y[E'#{fRY=u"3 >jt۫\۽Gҿ w1asA.l|5@yCԀgLp =zۆ~ y=,V% &OX,;wQ$51^R )bZh0"yu#2\n6" /Wʵ ycR6@S=e!an8UĂ;+,t=~L9C)Gz8 `u8+|b<^aU`s <):+Ngck=^ qݯO\{obdϴ/EWTw latE%oa:a$Ly[ ݾ9na"swBG!ֳV0h['Ǝ{c{K9r6'>;A `j.g#~Z{' s5lfs1>!QZM4vC[ Fua/2gy/WXybbSHy%K2,ZVoXm}u *`6MrX#w~a9)` {&|GGkY嘯angqd>usl?I> }x # hZ`]uW>c;4r4>][mAnˍ#?m7 ~B<ۮj`w16B9_Yџ]̏ujx, q@ HdmƧ0I2:y. ?tGb~ o*iaXO(!*/@Dxgu~|󳹇:~?! {S92^_~6_^ieC1Ǻ{+_r>Wi~>yX"AƁ'թ~AA8-nf4y{u@CXV&:B`Q !q8jni5Nb|g{]ܭ0g6!$$zAųo7kvӃ9fMG&"G>Fi #к3ߞ@ JCh4~n|~ǚU5-pF2 I(dXS `X:qaļ?kCi;u[巸p1t>0e'pՁд,'qTbL̾Cڙs!us*c3 x ¤L!8*v *1Fۛ!Rn!>Р*'Jp \ rXY*lTf8*<T xHM0vVOfʭcc5ngʸyC p*Ex:qN}BÂcB*PH  3A Xt8c0?unLh]IxX9俦o\_,KQR!x.oe\:ĭl4/ف_˾ IO8;%gNtnŀS`RLr 6֟uئh9[al噅(Ed)҂\naeCvJ;%T,!yl.slu ȎnŤ^}x/ib@xsa~,I)<ǭ54_}8%)R@ uyaZˎrlt7MndW^mɶ#Jx8yXO{6~wtp}`Nn濟ڋA£#/z\ARLHC|<.N.7k H!T UDEX))Q"ȲF x>_ WWZ7R@eЧR<%YvBTͫQ2iEDgp"+ZXѪQeTdŘbe aB!g, $1Mj0MnM?ށrǑi'y5 b1"(H `($ `J@w%^%zHx:qqjsyA] 1 O~KDC'MXt5Өg@q 2F;$&e)Z R2ћKSk!! F|5G~{7*y(:@\u |I%&NV!8<ƿ|@?Cܮ~f,;lYWtg.3Em+w{ cxJpxOPFA|f%_ nQ=%!wؖd\6}AD~Qc-ZGimv)HGCޤQB"Z@{|&2nV-і>7 A:񿨨tkLh@PO86|aa{]=gMs=!Ccʱd|CLͤᨛ03D 0+*}Fʙ81?+GUJ2@0 ?rm~L~(O_ &{f  k W|" E­pI!!__9%>l>BVVd )F2$iЅVxa,yc@Yg>+{äJ71,6  4M3ig ou> ZXC*qhvB;*.7͏\ݝ N#YaHV+:(/kU}1532bK~k; ̸G0 &K djuѧRͨ#2z.ɏ6OZff}$Dn7 *wN!0Bd;M:% };ȳ<BqBHwenЬ+@eN4ͣ$yPmq! ÉS yO}Njeټ%ܾ-?6a*cdX$zHrJT=,涸o~8͞=1FkYQ1&j0-/6G8?oclӯW}跴K3odBDž޷?eƥ ~BrBxpDZ>/?4rAԷɬjKnw4VuلI% ?a?4>G79;t?eo.սߖF_#+dK[ӟju Ȋ#0NwV?3L4׿vLg[n Ls[8[gm:m!`24ȕFgEN'5ez/Mw4rI4l]?[1L@le_tǒmb!XkB~QM7'׻%,Oafe%q9Ѕ;+o믏dN_eZ[Mwٝ*(CrpR ٳM 48bپ<X ,9F")YʄZ<~;(};3ܲ#+f6o3~X?hTWرG]y/ٲBM2 W|>*"Kk[ˋĞ7.i`vJ;xO&GN7"CRLedeS{_,z6yϷ&o¹ u/?=6rlgP\ $9j6U%B97F"}Z{:%2`)*ZK|Wo*)vWpJe5VM*0ȩ_oPap+ʤw9pcuߣ$dY}oFLtP} DD]xF\zx>-ok;Ȳ{ &.D55nO?ws}|T aH Dc9z&~!Pgo:#2)_gXnHaCqԫP<^7.tX,R$hojV0c[ʹGr+eyOˍt{?eo938&<= 1DvfL  >#sv^J5߳J!*6q"0H F2E=>o@;(_CP'y܋`x򾕜Do\_-w4`.xDZPNI4~ZtfQB FA|/MPpx0;&@ TV'n"bTK bubb0w] ]#` ͱLn͚7=@˗nŎ>5,M%|^?[Fk rRލclRȁ]?Ȉ^">l}4Rs=ԗA tP@.r+""c I< wx6!^?ט3uo-n'jv) oSXD]BG.*['t= ;zχB2{jZƃ-7O"AABG\FۀdEz@2zJH(~yO}Wkgka }"kށI,,َu\͌Ykz~pϥ%+#DDIH܉yg#% 鐦ѹ 3L hf -k ATΟr>ͧ:GO uZH|]~;[5L> NٽlOݞŀI ;  4 jGC0(VT}pXZSĥj X~tܕ_yr1kãMR)yӾHLk( *s {3P.CäS;A=qUO{z僺|.M{ךyôצ6{gr?kxP!rˑ% iqpqw-6:,*LTL }g>/s{'2wKGYq=_exft@NN(;x&{L\'.6Ū5"- GyG =9+ǾV v=| _]s1 ZR{9%`f7P/N1pq~< K 9;4~_X_itꞽF)PC~G 5Q w_% ʙt6l$ S"!ٙ@\fD8ZAX.خ] c&Kiο+רXeOmEڔ!ޢi V;2W\,^@ed Ў3g"pN:Js332h;"aw2ԠBcz?on.BzOgi5*^?Wшbݥ/҇9>'Z]~GTr|-Sz`{L ^눷h3=7fCeg}{{!\!IwKtW̕j皁Rv؂BHJ86)b`oz̈ΘHǮeXJB)`M&ejPd@90:f>^nmסc+`vxn"$&*]ݣO;˛%eBIȰ$Dz &uvi7Orp {wKZo:uV`]E%g1Њ7Ac1!vUx"h%{:x=xhW4TUSQ@G⨨"t7cdv5 1IfY=*ƤXi k]*-u{\mKߖiXOh 7S"Z%{n'Oi2EDi bo:w֟6s_;A6)lSnogo{?ȏkySss52k@!ȸ֯gO9%&D?*(X[w$ oߡ$C o{MB2pϕ]~~ČȷԸp(Fb YUdg[>Xȑijr^GT$[I}m2{x׶FN:`p΃ۖaC7pxo`3MWM=oi}\//,Z&\#@ze\nDJODvO~zN[e8\Ht;#JTb6e4dx,55{v2H~^DԬCZm8YQۻP+\$2Mx%'"ZIT<='VپC0Jg2z>,rvvO.gu}c;-God" # }g_wZaem+Ρ!y85O A{b/.7Wc,ǕCXXq^UOu?Lqcg<û:?,Y îyy2+![󝂆{:@|~5S#5s_'P_=>ȠDub0SsC1U=CX/4* kG0}@.`yn?n_=6]93t/۳/PrT%N95]nf_/0@ L?$Cs=kO0Τ+. oۼh#/ecIc=oꞀ(~ rZY#AM=I50`8DwHZSjcgṮ0C?˔}(ZLSj l7x3?C0ɍE&߾09ey¹!O@rR7Xzё= r@vbH_OvtJ5IB 20WIwW":OWꏔS鑇 cz2|#ܑRu4#2'9 ‚I@HUPl^[ ;`_$3Oo}SڪՊG'h#+T8\>jcSBPOeYPT ;1q0vSoLK-4v‰X 0h6ig,\ 1N!Csk1:ElCYs ݓJem#i ʒ̣B}p\%"(/]]⚟z\"\hIBBUå,s )F}j:熣8~*eCIN "RT^*9 鍾C[p؊G`@- !h`b|@cgv9h}ƚj&V#jڕ-(DykvRç Ft 'BJ(iXIpA4`%+DG(w$Q  0=6\mf r \#huc^5 # k}o2a 6XwEeJ1Fu!kȈ&9)c:ZhV7ޯE/ͦ9hB:(ל\mюf+hGޤo+ݨiZ1|U|}Hc~L:渖AZ]'zrmWN3h X$@&%ǻ 0*M'K\Ji ɆRAU_,p$={)J6l6azg&x2?@_-A.1t 6y *vn\S^`p+ُ`CA2CfM{}^+?%Achn۸2ҞMvqQ[CRW /+/aPew)4w@;EMTV}3ȯ,_5PXQY.;>m7'Yi}\I39 ޼u2 Oj%T>^gN.,z(}緕g]/U}u[tJvkS-=nڝc IҘVd @ LpD1?Nsq..qij1MSgF?=',>@\ '"|\v) i\kz&-hw N3+v[H'>P춦 HՂ F~1Pbv5`d8]̛MvatVerAq#ZڪEӣttb*Ϋ+68Lv% +^AdY%=֬JV1L@x(H@k@eէ<]:զb"ZHSq(^d ~=iC ]2k{p|/ Jᚗ? IR}UsgM>os2EK(o"Ď}:Pa!?` \ GBAs$bd?*p Z_;Pwvnn9aPEu R*P)h6aK. +0`**migt<]{ؤ_TW/=oV?.2^C@v,Ub%ȈD{E> P`$[hWTw1ҶXCI^Κ0|]/kJӺ9DV7EQ#A(>sS ܘ:q4Uϰ Hh jl{d h+9Nkwj7t0a7:N~@ϫWV!QSF^֪؝ip`Vwi댴٬dXu#2PelB3ؽςq~oP3w{8P#!@t/M"^g+ժDIS ]9L/sDlgW+~~td\oz=pټ5G!1' ck7^xPxxnϰE'y=/ku]ʕ{i^ycڀT +6.}y)$q }WyuPf7j+)L2dX-hm^dD.8}k:o&li < Ȍ_G~=B ˸뗂`괏U4"Ƶ LIA4wQ;hؘWnHkR.1@d`d0u|4 -qzH:.AE,bNHtac2$0&A Hd@Wqn$a-E6VT/'}P䎘΋B Dă]B]iy>]R)Tx |M%xSflF- EN/^A /:@;aC~|v|-e"Du0, y8''-<{xӷ͍>9tvֻ6sٞg6ƅ%UަFpJQvF6ldc^[JdOMS,¡pi.joMK1.S䂆 `T$趺>lmJ#~!v;dm6v WawNNezt;ْ6< *X@@*D"3Wԥ4K4'joMDp 4$M{kߨ$Z^P07 .eNQ1R=anVveAf5/5ٗ,r􉗷\\L%Juprt= =wjblD\$,MY " 81㉈__Eܢ%l|Yd /xSO#GX7T" cU$*kD=叿Po s*U*g8_B^I=ɶ6$˜r)/`capO!܅1 &¥DD$RE '}<?/ HH@R P @-HJA ȣ"! ,6@a"mA "'<\ LвRPF0FAQ8k!K}t3Ƕh?. C 1GCc~%}2zvFi\oEP/@@0C W&6\vfjkxfhC HUW$]#sD{iȺ>Fޭ뽾Ŗ(2ܠ!hc3(sCV\Ї/p)b{Џ+xq3Wy]h48ןvY-%}i"}N7 M!vknFȆYxܝphinxn6YzZBMyC ZB  Gk[2C('ƵWD6eQE ]s&E%F[m`wxx ]G?v Qz\t!1rn_яC%CNސ0GctSv>erki[נcz)eßsld`( }zzrM+$( CB:&?N|QSL<Z`ɩEj(fŦ?<Zi0aATdH7,)l }/,qEeA8BE$w:SQdB8+Bܑ˻ViSi%@L{Zt2N9-c x(k}Q;Uyx~|S ȌH%?FBc9=#d ؑCY1 ^2[dӵ&ض gnl ~Ņ3AnH̗.[ \UE\="s<%VǑpd(Y?2Dz#';k\XCA?wWhZn-雭/i"$ ^`3 3C_MAjCBn^l=b5B |u w[JbȺY"O< ev/Tr/]"1-̂mÓB:6.jR^>T];ݮnλN+6sg+4 2hA?\_WO2K55rZz83zat펦}wLCƎ́~=fE#@㺁IBt/L3 *tb)ґ\S*$Y\GT֖^0O}j-<`;+)6?16ar.fHh&t/ E}h Q̚}LƩU t<< .~]~ΙU a(dJfx Nd|B.)1fV~@h\5_ƺqz{sٸ#S.i)qC1`t zC0).B<|~ "Epbȯ,gq%㠈bHH}K=엫% 3lHQG]ֿg`9qZ "L~҆ v{AP uZ"we&%KKWv˃ +UanQiA(@Msp'g`  ɶmnUp8bz͍1rrE(=JsLH9wI'׎S@sJ@R ['-?ƿ|ٷ=r~ed鵏;.5+_v;;G`0C\eB̺}L dp}&2:"_}'lejiXUr%P_!U?) X^ϑK6}HkVٮ,!ſ&5y rTT-INJֱ !n,mE }(t%tNnjÑ+sFϭƱETvx!ŕz" 0@K ?37OU:e kvr|Tx "ض009b"' ^aʌ NPdYD/~@յ3vY &0b5BΥZ6"D 3 }X x9& ř~ MrKZB` PEQ,_'*|_ 'U<^q4.t!x>׼Y%Xc_kL i<'l,@jրt 1A"7-c zaC@oV0B x01`MlQב?X@'ɺ\#^4WJJo"&S IN =^eDC"/O`Ζo0|q^/oxSD4ItqU1Nr 7]^EV<)+BU6 X'X{ -UgYVJ(֌-P;/~Vρ&|ݙbgW=ID$—'$9zIIyi/Z.~O #(Ie(cB?v՜Uï`.|l۔}W.1oBf˿`[? u4Lorh=H f`0&<_ i̢,UMQހk.Np(9Dft@Adl!0Fd[g,DmaZۀjsζGm[J&>ڪhWʃ:'kҪ)T‚^ZbkJ* ~QMWG"bmP `]0vaZ͹yn0/#odm1N"cHa}eM4%KJB[UʉP$* Zˌc"u N0H B@R(΢N%:o:ģk7iqN G PqBK8Yh)n] x[jb29E6*`DPQza)Q>;RR4SPZ @jd5*Y.ɪ{EJx]Sn3Pjd ]ttJa+ ND/ejM'4ӧbf5[&[fAcBiUp03P55v=л0x/Vn, @IahJuב 0~PO,Ӆ2auV$mΚ⸇k2ŷbajϏ![\ۊaYgK6n"12˵/++W+sgk$^[ٸQA "vketD纋7\*MmsW4iٙqC0e<9,8.!eg9]lE)K 5J&$g$ڠqSTC_Bwzsj؀ս e)YM20  ي1^+iTʦBX_WЀzmޕp@9S@0tɈ VK6Q]J!IZE RJU>qEQ+.2/08*8 . aq}-]@='ZB5j!NNQyovI{lmHi|6 ]|it-d@)Fyk& t,Nzoa!6amw6( )X,PEL--H"^\*SY-dcˬ2Hzi^lHCT$>;]H f2LdJDڍh f-LA(oTTsUH `Al Ic!bI ^iB97Jy@B@$od!`BK[""PUF*H@(@(lDPPTDDPjb\q*] "2[J UD*6E" 8"*e_i='bnGBn;@@nc8^i"8s/G gz_^^MIۼeoyПO$W[r+*>%2E !\%@+S"]60 cO|n8C@XcY>5?}n`f(N:etmfc {,ۼ? Й ^*|f .>P4 W4\ aUL`p&dx%Foz3!3g;.N2+a:=[k>Gyw񗯭Ϥ`,pm2Źe6hqoE觀!j(fDffDWfD(53PL 3=/C>VQ3fP] EtU&Tu`«95ἤv0#Y65pU켩:--[Sɋ2<9T1SΤQO@S_ű͆IsJ33N<Ljma|u>MhoFyCǃr,-4eУPCM@F@F{I5H{P1}˫VaGQm@0 9>=}p)Ah>WE3?&+12%E23D#g/-.I0H=zHX[xrm6Kzc Of![C;OFIDAd2'hP,_Lޠе2h422rcYs*ToV$-Oe黫uDx[FƲ^WDt-9\ Db~y/مeW_ᒍRgA,dg?>#ue{^LLa4HAB3&̱kBq OP xD _f}?z$E%@ej`nu.i Ɔ#nNy1^/o=TpHAd$߮n-. "ET"'bQ|[7ks!=9Cm_cػ"!2Iv::{?OWSM_9T_&:2In쇹d!\ R{ssx[g`*N?O"me_G -NavgWA]P`TWԖw ۴QZGT3k{fTyq)d}&X1*:YtHƳd8 _ |(6މ/ S{%R<_}YpT#':pgIQY7 z=û]+5hqRs&d#F&)(?W\mY<8A,"rWlzf@B$0-M開w]t́ -"G?;MHءNp.-z|N2$ ½;o2O9&\l칝 /qJ" okϬbkjuB Җq_}4﬍6#☴ۢaX0'qa;@eA9 <9Ұb4p C'R ]y?k;윴QtRFq)80aG--'6P}{V2534営}ƷKҏKsrZW c$h" ~8+ֳĞ {-*6DF ?3C4tyrm~sF>-.d.YÆ쌍x8"%W۰ЕSx25= OdO9\a.)IzG4c6s>ӟ=/;? P@.>l.loh#x $mB:/dK-3jI$b by(06AY=ʉpڒI,/YWS N}P.68ozϧx2yO\`hUÜFɂԛ2R(PL ]ɼ31?{TG a($ʗ.s`.l7ȩo{ M#3>'l?uGC[&Oo/6@:4 ;ÅPofDWf Ah\^мc6GNWGKנї%$[z.CԢUtAKK665)]@/3L"T|?wEMHqfZ*Q b+6w@R0;X\@cj* )e͒,a) =(0.z;i˷́} @-K)>F_\UJulP&#]h A!27+7 (ޖw8]l 'V,of6 v6mj eN[PeGjxs9cʻ 6D"| FPWY 񆅁`d1vYeԸsMY_D G,|m?~էBt@2 ńr z t~72 Eʋ%He$v>0B)G!?c Js|ۃ3o[LNaA ̈́Y_@>v'(@A,TVsB[} G"- SpܙGVoaN[̿2i"&V6Qšn#>/Eg o'mhsN%Go<M7;sivuj2xB3}뭋+#@>RU;״aYl6\OyX@YXB2o`3;Ar1m j2!s[7QOTx.~[bTӯHQ8._ l^a2"y@X`,w_+K@^xj aݼNAY65A-SЮ0@8XP_*fBc[Ev:#*$St55>4EVX1$Ze峣\H63 ŀ> փwsp!&/Ah5qnӭ30*(wB08}$&csq[-Av#Ϲ̜? r,gb?RE KB1ۗ`z8dGv<"&MYBA !<iS?up /Ę0i\nYVvɓ Q3bH{6KbK;YШȊC3w\;DUhh]sb>yC~ H7oO]M5< 6XE8G )FٚiD B{<\ W'b(txuސSe$s ߁lH;^=~:pU5gUBrgfO 5hk˺fdNf% o[|ث<HLJ0`7wq%J{aZ~ hBHcۊ#p"c ZľB* 2qpGfܮb8;fsI}Ďh{'><"@$s021# UJy} uIcP<XGP xP3ENMt08}5㞎T5#x+]̞ou} W]u yTMX魯2ꋌ;j wf{Z]Ҡ}u1\ [nb]|`#Hpy̓{g|z!7Be*UȠot=;1$^bp3:5&wmSNYjrj?e D@3讝.nIʽ>&M;]'f PotoA:϶eB.eCd{|Kɗ|;m{hF`#=^|W83ކŻZߪJz[{3F7 vȀ(]Vs)>:pmɟ-zyƠ}9n5rrݟ^ ׾~!Z[Q|-Cݿ>30F`jp|ȇwnZ6,+|^;m[+ȍ>&'[DZ/gLGq`r>~&jnF 6c=uܫث\ ]\ '\Ԗ @ "|<07  }ȶH#MbRGYi!F. x?Ī=ŞYRa!]a%rrP:x,6a61JHYS]mT^:*z3Bd ACC!v5ۛ'~H4rDj?K0 <qe(ί䝋a1-p;| sE9 כx*㌣8;t;o_EXVD434B"a(oM!+Iֺ]Ҳ޻vx"Z nzA##hW8P$9-*=uɊ@Lw5<\fLLy6<֟{YRjۿfOt1(='C//;.hXT09_rz<+_'F4'\D@Jyݸ%C"vjs e I?6sva~Ү"#5"p; {=ȘZTvRJ tyU5bϋ+D) !-\;r^)| yӛT<#:\P.韴le<)]Dʫ97}<J"#H+R*`6jgJzAKOV`ϴ6$*Bct$K1+e҄%խJ|j9.q_ ۸9=AcR{Պ97>V0ojʽZl]dn_YތrUzu>=_WHX Ir@.'f%1"!+Gz& H^>{4֣OiR6~gR F#fM$|Ѧ"`L%,j.>6`ٔ $ze'\V:ӶLqI OuL7?q.YBT]2quN>)܎(]HPɗ}Yo8:~h7.x"fLAbigT%_cwֽN}?jB5OQt~с+LyXt,e =QP.5ó֊J,⛵%E w61 -NL'iqFc[pINcU_nosQklL~7=,Q u83¥wݶM`h,]mGo?"'w=!`9d]Y8W׎v(Y33„Z-DZP+vT=tx4FT5@{Twsdg8ޱEf"<5)":iuSzC`%-&V"9p? ݳr1ȯJZ.鳕ޠ T6KlJk#Mn y"Stl⽽NaV[.7J JzR{  ρN?L6=(~˜UnDw2pt³fHp4PS0ziy C‚xYWW]X{xkȟ&_lږk9tJ0=P6ƛu0$11>Y]Mp89dž^:yXMKcO?F-yN2m—, *S4b u1<i 7 (_s4eWLxBi9uX߮ɢEܢ1fʏ5>jc)(7clIC^ڑCQ?OpeKY —uLGRv> HNm_w WU1Y ti T,=TRS!S 156u谯H}X4qÓ+LK4I|p=)|ф!ܰ CșQ~[ct0wU{d"M|r.G*qäKfT݇Y΍c"?sp{{e_ȔQ 9$f>X)#\]O5_{&@m04ݴfQkqD\KdF~vC6v㨕T$_d]$eHp|dN[:eY(!VRߊBj<[s"",%|pKAl U5ϡҤN#! ͌><@Q+(tų7up>].0#hslj,O.0+4 ZdifbGV׹g ~WXm K {ꤌu0Dc7>.(ߠYz,YT~>IatD`3{X4Q8L`?|OD,7␕L8Q3s>qm1"fIvݳr4"'#w\ώo=aru=T`!_h1!A8nЖ3), brB2' Oi~R]bԣ&OZo]1wG/) ;~bD }7whqGroX /[*ޥDf7|N:,~#v_މyIS(}["/,Ȗ);췅eK` 2!:ν@Ψ3'4%ހ7vt*K=} Zm4džiGQcJI3[/6̧tb)զs(Qi[H_Dq Yr@hϼ&zw>X`o'?=e58~gJV슠yb<[Z۸'$u*m.A?=aѠqmg&Q񿤭:^]5jO$>jg#ސwmuX-{j*(y^ 2"od'J!?E38I٦>pJ'4C![#l49QyG[ k͆vF}ym&UK*pgZ r }nƎ* GqS}Eg̿tjz(D%%>>Fc@ JG&r~a{%E{91VSR%;gYpA0'd33a؈(]vwO^h&݉yk5Z1Ab6*Dt6L;g*4>"{1FɸƕAA at>CEhi%G{GҘ#uO9 [y KZ^ C|z}5C~W_RĻQdi?y[:5as'C2P %Z1BюƠ٤:?m߷3352xӄ޻'N5ƛ&.'|~UX}RL {O|G$'霆aS p,ij%Gg=G =Fҡ2"K=3=)J;"Ve'9`.kh-qXb<YŻHMeR`mԑtǷc98[,o~ֲNU.w6)[Oa gAz-_R򮘬v[UV'g!S(j3iGwg\pX~>/M$6e54+dTb0*Mg=\,k -KWEVǷa3WQbЊXey IK. :. LFwPg'{@$%2#ʂ۳}E35(%WO1Hґ75 Uvkmlv8 ~RU*ϱPEoDnO{LĦCJۏ(7L^OSu9w5#uh{zP)ɩ&hU$VgRڅ=C[sw2Sʤ;Ɵ{  <5Hں9Fa6֛n_bA>@.%,4wɦ>aSW<913 Smjtzd uw5}l/kGٚ՞'a3CؕwS.h47ӑAahxJ3,fJF_dҜISx'_Em/E}ޭ <ʰ;(ZX2ҌQox'?@1fN} f^;=sOrw,ӎAu,knkxZì$j.5g,K ~]*(]e =a|VUj0&i4dM?RxVQvd t0\4`eYP:$W&^Mv+|EigHΓ fz`K|gw-d_CkOXw6*i@-uF%k{;_4+""'P|$Dxd ;DsOK,1,<\~N[ 9rKpMCG8 ^i=,A& 6A\p~3[T6UL٬=4ΙBQpO"= B`d!mSl>h\~.@+T2$mͤ^72\\,5ei {uZ:B9##? 4pNCv^̴ѭѡfԯ_Y7M6_z *!~Wa[oQ)P ZBhELSrm^=u+Ƨ`@!n駊E͵uEs[qvNܨ);ji&>\| #Ȗ8jH+1}=C k Ȅ}~Q*C 0uBioȆ3g9m"BUYCx ~Rͳ0 ^ 0F}\8IW>.܅ΆH!ߢB~ MG%xN}< b(U0ƌф~W"Oܜ7Ee ;A›_oAE.0 @4Q|cNٕH}jpNf2&W܃=6f07vڈ_b0vsmd0έvdJhUr,t 8X6h qT.eE%2+E,#{v,ǛL efyxCT1+/6t_cGJ@c}?QV8_T"nUgbmBw _1>: JxqJ m zƾ%~a~zA(w?<$0gTB= !VP\#늌7 }.rb4;0,JqjɪD^N::gReyǐYՍ9Z`fxA9 k~KF yazO=]PRig}`qt|2Xhԝ ;OMk뿐1! e܉F@|PCXRVgW?H?rA3Gi(a[%ϑBv#C !5I(nszI cK@hM9.M|4VTǸښmjUh9b$Ewۗ=>ZW.K>ީ"CYFá_eYU(!E5w m|8^ 1dlz]8jᢀia*g/T(glBY8 x>ƅ% vz ۆ\|svo,"7 dzdqsuoMPcb/SKoU"0%ǩt|*/'>(b&׹MmQ{#Ի-FawpC]†va] ݜq` ~5Hnh^iP!jּ(']XXUmzth99~UɏL>_='}p{?2;ˉA C ^2݇]RZmWs0[a*Fz*ucPNg&4v |. ;O'8G=rү>'VƎT:kXU|{)8qj#Zm{Z  ج<ǰ> \M' ϟ)n  {.Ob@K\X "-y8LN]E:+ T*U%rfgm!zɍ~/[@1Xb,~kjU9ݜzп傭ѧS l!9`{<+Zؼk`.(R6nJo^:LUpIq%e1o /e/C AȐychظazI5Oo{oh䷚>L|.vsDN:e;-axj@U3Q_. WI3GI5J :0&uKP9ĐVjC ̜ Q&1q~V0f6gVmJW\*q'Fo7~,vҊZplhzVhuE]L |}c? xQ)I/fx9M ̚; e%0kBtMT=SJhcU0g % Z"  0KhiD[/:74F&?J&IַAˁ^'_6:(I0|ڴxumV9>{WGrlԣɲeV3W@N?m[ujl.%{_")|A tO} m_#"[e?Ar%s\W=?`-dgw( e rC2Ӂ#RFB/{זlc Հp(s MFGS-+zgBH `2L7O9y2~(>8ω^`^TkFd5zT LuU7W$Xq0}ݰx{}۞"vkKoFf~ĻSL5/3nr7ĸ9۩/R_IRi2Ե) "˔nt^>EBk ֒s&~Rf3X!ͺ ݷ. y3)? jXd$jh8t3t1g6\5kPrQ ^&hz|ZL)qdثM:G7E@n](Sqxd&K(v XY"`@]=NtHpE5~U( %bUaQJt9]'X+OAn3DZlHg7^X'Oې>bɂBY Gn&laQv E'X_KՓ 0GHT'ٻx{9onDɷ"J~Po81ʤ}nor=ÈnտَmOP潖3@1,W&H^M #~)w5v+OPG|]#d|@FԜ:Cmn S]nZCpm^}=3%5?:aXf&|IJX[ *ČoPG##Q{鉏=EdtD k FJ˕Wj/Y 0*㔵lpŌym{8W<؜x)uCEat*x0u o/r35GO ޡfb\ڐ0=-$螙|_%CZJfǔYBW<DĖ3؜?̀K!G <@ 6KL>(p!OU:>ؼхi5q)ih8x}a(J"8_t{p(="\(oĔEo ptU<'nEkBӟ ={._ NL*kSua)^B|8k  ,4.:&'ƺо+𳙫NEQ3+LC_ ts4v^R?]2pi?ԮRS6L7 m^?Ge~s88= p]J[Drhh{WϠDi PW#9\dY:}ur^GQT@s6i(zp@.,V.|;Rs3\c/8[SwsanZy 4/&/{Ԃy[sqbBlx.X.ԭ)gg>Ra^Um T8@%GP·_GnD=10={%,Jd,[H8*/fcSWEF٧+ZE[ベxbO(Rs:|"ǼnO$~Ew`t- %aS!DN ^&y\^ԈN -|HųꦃnQPN-MZab`G!/bWͦmVL6eI#B+Yyn/}&W/|s~u_B0g}Hz2o:Mt8q~?ү?@ GvngeMBaa^:͏31 HGVl=@p4a=9"ۻr"Z6#?h̊;w~{΢cIP8 Y$2dt5+#iD.\9+xj5>nĸgtܕ:`ja /0ѼZu(;b Qԫd{JoHGO urӽ@z?o~[5o=۞f=̓1R˛!CC_ 0&FIcNfKrIVB7\kĠ2xo+ u^dmI)}20 Zt'|^9U(Wdh8Z D>*;>N22Z$e;V7~2q )%5ZZub!x ȏ({{#pn}8_)J: {cv^'9|"hv{[pX;WNrr+Iێɟ.gc˫E)lNë"C Ni|(%R0?QNU]~@ߘ/Q>Jz[KE[?Cd`{UfꤘG6_EC`C0j>>OZ! U>?nIg&6g3a8C{=q*kSG]w&c3ot:WYD?tТha``i*Sf+|81:7*K6IOنރ>EjČ^An7dfw.//9'40HRg>Y7gnQЈ#%olH2ŸA!~9cį5*;-EMF2B$Ep{;K }zA;&U|" _X_Ư!v dnXN潾 z6tiS5X]ztuuߍ.ͩdR9REy2Uu=odS;8/=-YR}j0n5> vb!(M\-!7W#Qɐ@z˅]G\ /*MS$O$.mUOtymE5vIZt(GSZ%fVts֗GNzYS%즻V*k}(1jbwjI{['<#$"Nd(/~FofJi14޲%$csCakfŠkRSoPClݿnœӯIj_L5xC1t9Uރ"L*q/~WH:gԶ쓕`sl.,?G9 Do ֝i޹'y<`ېHr鸁ʰ왽r(lS(ꣁ>EzޕC%@[1^yN+Hف&93ڙrgiCI(cJ1a0&UI]Z0m"``䝀T$|\xtLɂVLNVƅAil -#*6-c_IwVRf#'"osaҚ(s-:8y- y|=ck)v:~s[p+BvJ׽EgC*A8*KٶY3xwUn- EܶB~ȶ5+qƩ&?%87G3@{vͧaUݪxt|g>z)Qb@%BX3z-tZRu A'nics܁")WIAl>01Fη. Wq:{|R:آ!7Y(%)8SQmʗ;\w$9y//GȜ0,K3IЪ yk%{Um3jeoy] 6Q< Y5{nژD E,ˡ>Sn x]EoAM~yݳg[Fn|S!(YÏ r+옩='$[b'MBt9$lt[PwBƟw@f`'01os3D\<5?p_CL|r^iYuJ l'*!T:r09$O($fbN8 )+H; q}AMIe$ ڽ,z99,nݶr|iņJmE2š8XBHHY b"I%52/L&Һ YVUzOn"8]&zgid0舲ʇk`argĚuMbI|kAWld^ ' /Z.Y. nMS˲Ld`"n*I+?=ՙJQfqN o@h0'qSyz$iIZ hvJ;lBolM% Vj=v34(A f'MsN?^ִ-*w;/2e4*fc[,H6jzXB< лfXB=Rg[%? đt{SGA+b^sA]l, }S־*?6)?W<쩇3I/޺ }ηkp{rJy-=p@T!v]GbMoHbV >cz#Lxq'0?o S0}r!9usVPvכPvH- M֚m47X#2gd%~LznqP!֩W/?H61ɜLDl-1|i\D>9`UtoK,>Q7-[*5s$/祱\Y|D)Q&yxyxEMJ+TZ$^՞!w.]aw%ӎ U'Upk!Dw5u^+J'Q:LGN֬mw(d)R=}/X㜁IN P~Ʈ !1i +07am&!a?V[9/C#0yRt'ʑie9xywd!;H94U,[H^ pB5L$n]Ɖ F409Y.I2{g(`E+|# |@)am}Ά37+(Zb@;v͈'T3, |ʵ\ EBv_Erx`=Zm?e7"HB?:z\bxߍebW&WrI֓U *M~Pk[j==<۸֒ΰƂ"bX[.$yu Mi=;7+!0(bprx$uD*èؒ{ J6D[0Uw3?]J(pΈ-=Ӓ9N;1;tZ񚠘?Oa禀 WD}Ln[/Uf*Y5$s4UMр 0{G<-%l4iq{0L2}(^%ů@{cuwӾZ{ 1nvz-l{vQe> ƒ@GV CMWFRY= `;r^Q9_,#}io./Ɨ] m&.5= ~@~q{a`"cđJ2ܩ$˚!L<ӾPsΉyd?h\}UP-=y,] 4=|˜l5QW;񩭭FG*b&7d{svp٘r.ntn;*{.a ])tz0go]Ppna Fb!lpJ['eH6}P\R套)X6mzv;w*X ̩!9T͓m'3dpmO"xIDSyjG?&VcPl#sstQxlrAHOB!=@SbFh[>7=FEffPëYZ$[%pLs>v%*{0V@$V0x!qh%RExϐR#S-FFU~H| 9p!VY1U&\>_z3)7F}/[2|%p><OǾh8}kWg27S1**,{kr@Z%81.}}P]Lqҭ{5 ?k0a~?TWؕ(T5 oQ1Tpj.(!ӽi>m606CXw|BG ,)!\6Azt8oL8>K}~^c=ի*rDizv^}ŅfU~jױ+ænx$\ \HW/faEa w϶`'qrl(Ԭ]g~ДЍBL8z#\rn l2C'+Glw,% F{7B`q)U*2.\(U ziYbp?H5ye>fVOxʎXժ&0v3J4"r ޞEaN%>-%܂0փJ@|J*pkz~&*Šݚwg+ s_CxԁT(Z"O'p>e4q͐#y=&5!Y#W6wf vDu@\tT.>@G{qRqz9~p3g`?1hB: ?Ŭ'Zh~wn.g}(R6HeQ昿$qU|Z]JZmеupSG& e'햍1!,Sn8Ӱݓ0ב^㵬bB 5)Lί]\D4bD":*HOa5a{\5MTɚӘ&HC@80t_x<ҸQ5?+W  M6~~!Y@/FjQC5RЁf$"?¥aL2B>/ߑݝ6"jfi\%Vp=q=FU'DItX'RWo{ۂ$DhDl zff9hlA`[wK.!kyîRiR hB"n%p>>sg3g;W-wY5.{+2 ֤Yk}Gx̟h`'_Gj$ *30p*k`Sr9RyV})8ig4.T̬jȖ O$;  h`x5oNV(fQq5Oko*=FW5#%36# /r-rNFGuSnc%X5Vx}Iv{8AUB3SޯKy _|08*Ֆ}}F=Έoo8jk[!I-6  M6xy;(RG"2YU#>E O".݉l,kgZo^މTz:X^gw, A;)%h覵x\~ HF6)䍕 !X$e=ytbD4ՋǷKƟ4#f(=y[(OxQH AIZ2Rd_=sHTOyMf+9(のo@$Y*Vl.iuk_5iyDb)*FtAsau.}YY{ nߥxaTs Ev`tzW~#K\H7wįؘ+m5F fA!@4^Dt4qr@l◽.?3^+,|zkenaN&i7LX'\[NczssYS٘V1w/j}"qN':YC|'c7)5=#N=ke#tT"tts$}-F۝ߊ 2g<`͉c|,P|^m!hU|" | '/G2߾/xU\`Sz3bȑH+f_ӗÆM\['n8ֽE629+ VĮbNf0YGSo첢Ygm hTT[iWQʿJ3'2`7R1:qt[*Mz 8Kp?a'Ϟimxds"M2bI t<͕3%qc' J^ocdG{SóFt @OuXTTpr,ٔkyQ<( i|qO·r3L;D u_uon)pWEK7URMK.0dJc4_JS]486X]Y_bgp%P&U5(9Nnhe`[%!^ t}U8d76Nmƀp"LZFz6uj >` _P dIxlUe*zN3# I6g!;GF)wqI$LP !<}GVZރS$km5*lʉٿ]o#fk{cb6Ed,{ؔa7&cjs5Nꥲ\daky7\50cJV޳t[2uo[xn_=A@ `t;Lm!Lڛ@sBokL)5(w^#7 .X?2Mō;&@r8l[Mw"3O#scm] t!ĻjB.i%!!Yd \A nn=W% #q+p!yb-~pxϱp^'P^kA[x$༣kN*g"p}ViQW{/T/q ٍ_Bh* Oj!#dzr0C /Gcj`,ZmJ0< ~N'Ǎ^@Lnɕ9CbST4a/bSgG(rg*PNjYx ?5%*xWrA7bJ7:0@g.]$@N鸋 _$]'Zfߡ_h nG*V?}PG1ԻH{m-;ݲ R49ndl648W9zd: ݖ5p^?3\ziDo3,L63\Ӫ{M[bX̖2XDQ쫢,ƪf;_g;ßf߫>}&IGGLvNsZA~;F XוrGmužÒ7ON03a'v^8{GJԎ P?Z ߅DXG1uI$?|`NuOM )e0_gW< lF1! 㠐R41#r X,/lH[xϯ:$r]C9w.LR0 $}%|W!>˚Gi)sy1#w *0.AE`Ewc4e,|_ "Gl@E矷 5i}tAfXtUud +bj{߃% tt9@ D3Ȥ7 jPLjXgʴ$2jE7z6+|"pgKEFqBȅes M&.CdWd4ȝ-$ >PR%{TB(.nDIbY@c5ၤon>122-rN$u۴g a9aP'pDcg{=h$7G}@puQ" 8퍓W+-%#݇3#~Xo^2\+@Ow' yJ~4xuZRȄf){> !ha@|%KF˙sD]vUcI 36K#df/G<χv\6p@ȑ5ߗͳeXvV&BBQh;=";RW[{\5X}RXFB*9=e,4mX+K _xœ1κo#KƱw "y+~s킺 ee䅼0DCGlVDCnVDlk=9SGk /)N&_ &g8 a,T5+>9B1FgA?0*}el 4 Q #;g-f I/JKBD\+PO$3Ik&Oښɇss+/ŵ>Z ?=+h7^1@Z1f{6BʑwSxh27 ^_&ȑpk-r D^j?2A,I<8;̝J0 FB|- 5f3zkvPg/VZ *}M\x HZ0x[ @@&N"hQ^ *avBs`VӔ~QlY(OOKctmQTm)~!d}\cm/s[$@4xD hQLEËP|<[XgrUҵ(d7? E[:G UFv/!O4;zU AuD[txˎ׋x +dUy[d0rLԋal&x־}?pSn d1Qw$\|1rbkКFVXXA3$<.cWSVAWe@]G"RRU|?ߟF_Yވ~eo1&[PRYr{iXb!=2hF)2]M5}(gC4N)qYkPY%hxz1V|/ Iَڔk urNcJڐ?ID,s/[wi:|D nt7 3࿄hfv>?߉PͅOxBwQ2 LRݯ[7z%TﳶFXo |8?>X}>V _j12~(oH;7%i.X~X k8UUveM&ڵ藉JOfqd}캝d8L0+@RZ^Oy9 gt@:3}h=^<sRYl}un* cQJ _nE!ά)~)Xh{A6[>vC\Sq1֏cS(Z{3(2ÙSs"bO7W̏ӊYGEH3?U|GLQ\ģu(RmplԹ<9m^&/t[+ַ_ܣ.$FXpf ָ H;&:7qcN=uwu&ͧߌeU:~\Gg#Ǫq'5X.s qMϨz ӹ{e+A‘ sI/?=JhZu0m?gӇ ק9kD/vG$/'28 P LE]@z8L1qj!`+tT9WQ \h ~;ĕT4_}K\t16aY nxSJ+صPjk3YNF_lw kr$=q,co#d4usZ˗/&J=M"ՠ/@):q9ž>}βԪE<\c"XHddY]fe$J)$9g9Fu5\aܐ3 d!Zo$^^G"'Jh8*<c,y`0?/hg…-i+[w+#UFFw4)cEd'xFdor4=`>Od$G5YP-bK[jpa1]T=qDPZp`y} l)][):r6ayJLb*q[294qZe(ҸZD {r nENs8 O0Lڇٿ!cg+Vp=OtF*G;1цv`1Cj0OݥOACz2EU#"0 40cE;Ҥx'-/&Js#y7}Tߩb@kU]{YR: eda9ʝqO%i+y@/VkXElXjR3ibz@s%);!K.]nھ`@Ǧ1Pg80!lQ%hI~PmB3[iZ($Žyyzo`CEVTF{sY+$3?B[|s,zXLL;'Q4Ǒ.m& Ȥ gP,xkZ U$?ԫ` T5Rp&~w>\v4\EH15uL˪J/) R8 iuu e>\15<9 q _E dzk"pɎ֩Z-~ Ch􄢦*&|I,ZiNʟA|+&0i«n`q/Hr faU@Ql{iT0.@3D {szZ;6>6Xv0:2B,yg3MWnjZPtd 34 cOe;aS_ANN;K\8Lkk̓eS+侶d_TBl c7qK AfR9&rhfb9)Ke,Ymc/D,:'y;~eir笇@͕: RX76V:o:`yjVw0[]@yM 5_`,gэin&7+Y-q:E^Z"\ Tc1b{ATdt8jK_R *PM4\hx^%ˠyT$TY|K0C,6cΛ?0xԁN"DBClSoChIs- < 4G 7EJL \)5q6pT,nA޻-ˑsG ]K_GZG+OjEʄM|ke t =`?'CˑhRRqh%+L=$@b @+#[t@.B; !ZJH@UЏ+Pؾ95L h6sjFU08ca*KO(oTI'đ@,>ve 0OSGşf^XN i_ k}F؛K42@.. .a,Kl`z t_l4]Y|E-nZrXG ~ڮAa ИDdO1l NWSc9O)eZ؍4_Ԫ}fK|iF?K\sz# oh?4_aa2v"j7z0NMH9r)q j]^^ƪ$1EsL=EoHa?4z?p?N4Ѭӫ fA'vv\f6LG0a ;7^2y(>D $}Dנ-zXw.%"DxFJNۛx-&h犡ɾ1w#GMe)2ʸتY«A/X$! |mR*5)pv>dH >2d5+i0bmy0oeDkqwj:4 0?~jTXbk^N{]_(Fڳ[X"x@YVpe\0m8:a 6+ox.8ĎV*M>?F#(bNLf6QXH,"^.6M 'e2`%-rq=mgA꼓@:lB "Z9AIf4L 3TB#\VhC>)A#+ڈBK)76 m 7:6T.dja)y)Ƹ(ϡ#՜I+ø9ZO&m3o#:gU^L@vBaQ`}~lY{sZ;8}},QGF@m\  r뺑Z>BOdL[)Xw.dj%pX`B:DuzmGЬ1!f" OB wқ>9z >1C^ @+](ql[ؕ}IQ` [,lKՈB"u.jȪ;U#ƛ,{Cfm|ʻ+\pqj0zDxۚ I>-ȴTxo(V"c0vIF请F ~Ee&ꨁֻy[5gu4d1r(. ?w>#U}X&j*/FPT~KFy0SP<~rjz?Sɹ= `~1/h(!w+^#zJOnIdrz?|9_i΀?iD9c{x͉kx w\-; {>[{{)EuPcFivfZ9}?){?&gX cZ[WZ>Pɼ7[?' !cIX qG% 9STC ~wu$t5E=;IaêKW(9x̂tBAbɱ۩T3-s5#xY@s՘r]ػ5s19?ZhV x UyA>1ζ\㲘0aO7ds^[|91?WTAqv&_N6p5]x0~830,g٩4cQIɘalqN|`j,l%7On5|!`Hu|'1[4 )WL(M_ I^֨^k4$DǾOwK RjxcZ2Emy1# 浐G2Om%1@g)0nkg5CnϾJzZqݐُe<+ \B(+AV1АCP'0[z'EP#oz}rG ǐH$q̍ YF"?*kNߊzƴZ")4n~+z`6_լwiV)r #9T%K뱰dZVxWHt^Z1L]}d&E \Ur+v{"5PceP@wnFU[留9~0f]3ag0CQU˘[z^~2 LdX,n=2dz_!l|{*E+{“XOx%FQ:Ҭr{D#$3֘0iNEy$UJRnH5z`v?UDJŤc*gyŅ#0ב;9zJ^򷹄MDVhSy ]#fTg%6 PM? 7 X hM/l Abhx+h>;f E~w1ƢKk- J%)(Uoi@d˫3d _@@+eڄcݘă;`^xXoH/TX,,s8(Ug}! ytohԔ^9؀&vWfU=FӬMBgLk b/2vl*ĕ1oYR`^IA?%sDϜ\@5 cmN8$d46SooOif@uQ?CX 7S귤hV8"Ɩ,4" 9 qt/}{7+w<{ Pm* hR[ -(g%2yx\ډ g%WO2倹."ͱSjݔUƩ=OMJϚ |0⋗QyY@Z+AB\( -ęxqDSa! _t~4iZY~v?/Bf²IaG@,r z*y&h 7&,uD^Ly}q=Jd2&ƚlh7nCJrՆNi+!He3!06geqh#]#d@_ҘhYܜ25[R{jڰUf!sj֜x}{IJ**:!u4378E>y|LboZht1 3D"Q~g?ix¾+sKQqn Pܵ8x$ϨW)z}Ʃ9XĤK_/ddH!/Z˾% c6Ñ:h`t#rO7 x9eBXmk␃L<ޜRX}oJ3Ljhޟ A D.WLRz ǀkSwօLq]9IQmVUankeue!PQ6rQC /8=-Cz¤E ;룙9MH߱Ɗ-<7~Ì+Ùs P&Tԡha/AP#\H ah?MrDA c= n~UNo]g7L @g"bC+PqO2d٥P1.Biq,˺#՝ɽmC}6$4:< ^yoADJsvз.݉Sh[ڀnG3)Doy^M@LnX?i"*ɑ?(AʼE0Eɦv!޸ȰZv!2+ Rץo["}$RWxF[>+w^ BHf1wPYʚ{oS_ES؟ᲞהJ/&[KD>]"]K%YZ؂M)S_ 3K%dw"rlʞٛ0$졢=czة݀<x=1Ա@s+yd-&="*}z-Yf co:;va2=fF7'+G~ݢ6I:%Vشl큃:d#\Ǖ1yL~lI ⿱0&RP55ep:WU~h$B‘~*l[DbcV](t%{!.g>ڎfO0 {, |{e繉9A~ ^I-rJ|=,?@L*< w'zP78>>6^J\BkR5ZPf9a**8F+vtTP[FmШW-PvcٍkXGDRKrTxpɚ7Rv!Zsf{X.dh:<WLŮm:`?-Vʸ$ɷC'QZx.9 *R &~-ҿ)C8/ E]7* QC&:O%Э(1pr:4]60BNh"لT-j(STDvcOWY^ Mȉk6wql}7XՖg;tRj *ZGy*c;h~ZɲH܀H59e pc!2cѾ7X @S4s0)/~^TձQ3[9wp scaBDu 맫\cE|C^~|i^ !q3KGq/DTm?UkC In 4,Pveg=V߆hiޒ*Y-Z㑲cF#*:}4xp!Δw%XM#˨&<~]0!qXX467"]ɗ~t|i?mgD]}yݨ)O}bHȣnEp@ XtWW5)DCa GCVSD@&-{ ӹMMljCtSo/bʮ 6&*J{[fꑯon7]B TJP=j!y hצx)\6}+JC˽E.k|Cq:4RGHh̰y6 9*#p_x3(Me36qRGxC:۬Rw|Ԓ!g/Vo'@{ XV& s6%”l˩n2GӮHb,ݐ"=g%x Z%$s͹Dk ~0M[#@.)dQ)mtb($zH!CNs^F84$,G/4Fb ̓W] `U҅z$#IZ+c[)w6nxRk#|Ϗ[ ox­3ZlpE;/FbṶx޼WM((о: nl/wg1 +Iz`VM3Qwκ gY|2hCkj"eeLW2Y2b,LdMQQMe͌(Qqd?PpZ) -XzPXHڽIgzv"[C!ͯB9vTFB)GJ#4|_ N&ܷ:S,?`,s0xy R _ݐs5A9R!m`毤5s\S% N`". FSyRޣhl|hMlH@-ֶ+ _x^snt"Rw /B+-Q hB ΠP}"jwBßwsMoxh=G"8ZjI<4VKզr=7]UT*Z0ު"Gf"ݹgU=n^O͊Gp * `E]Hp0LT(e=`<(,_]JO/wu8J41^*)RɞiAzh!gh(h6lJ )H? O ^ fl[~9V{Cڍ&3\RMKIg.1{]R/X`twv]ߧлOj\dOsǗ~ˀkL(ؙ;=ɉ$e2W:[*IvAɡTI$,lB%~E_Bйi"hlΙzbla0=Lr]ZE`Kf":ݱm:06IC!F-ķ )|mrhe =)ǎQi/kYJǣ ؄E咃i[%Wh y魛6U ( `Ze uRtR½\O0]'_F$ B~g(MGL!TߥPheBK-onqX>UFL-ѣRNO(V{6~oNrl-ۗp%zg 2O00˛{\i2B5$ 9z*͘Ĕ vbMG)B],U8;yfh'R[My5ohbav üG?c4~CF7krOwZׯ%Y앚1d=&QuXX톱jP YZЎš ;f$N޷eI/kkf9>f|96F@@Ⱥf/$ƚuL^:V'p7SJBtd8ֈX~8Puʗf9*T 2Q>]2? a$NR\ \7r}1_G`ǏG.`,6> L vU.?jȲʽ emGԎ9פN]֑Qk+'Zu"DwN'INmX$ ?=[qfg Kѵ Ţ$kDb z8 'mYl w~qxڴm-~sۚZD ԧ K àQ Pҧ}3{6j  FQ]d3%N&X_u,ۀR.KD1~ZFRlC^Ls5ڇYm"E-5 [x]dfN$Q&œ䱡|2L9*`K t/ZyR a n|hi Q]*u:PXC0zHZ-N0."d5F o, N:|7SwH$S {p1V;onp(16'cgRѥm\L&"Z}#a&Iw\cSr#\&JЋ>>b7AM"}ʞ:5Y'jWci؍ϕVg?O\Dm OV<D&*e^GT۸/KA"TN)"$ <56KXn5VO;'LsfHcs``.8"U(4črH3.|7@ aj۰WMX$]vz֟$Ԟ|y>mc-g;ǟw෥w*X,({E~&sSR!kI Q:s}2nc[;*w`ǬL0 ?ZN`+.Lαf]M؞2EDP>Y/H[SWѺASq8ry%t%.5A"B"#XU L|:&3`rCA8`Z1aKltaId *8 '?a,׺hݮ:fO57~РBۤu9'WS`P/ᮞpBI/,`ml] %hf %G26<6$5WP ϰ:.k/ ȆjOjtI2.GvOS\tR7 Bw*LH+,V5άZ)[P{KltYE}pFGR)nAs>hwC>!eJz/\!Kpk3e9z$eT-gisPQ*`X6," |e`Xn36 djy}^~:Ԛcs[{;msT] n»mMZ'C:eꆪX#K] 7!8,3 5Cv:P=)CٻRZO9(JfW%W!Z00۪ [q%a-H99F(~YJ%MR/0!EMNlO=RҡeKY:ߪ*ږ8kFa 2XʜJ#4@WS:-%*Tsl$o\1ɏ\W.y_f"KlnU\OKRD@Dt GL')*ކK b,I"Av1Y03/| cYײe5Nj!zg4[<. ~y|f{=rʱL P{rs2N|7i:+|~`aoytMf#N,O T~wZzK("}6wjGRw.OGNɚ3֠PQa{„O#Yqr{S݈m-k^*~}ʲR}v@dz"K@Ny76j3ߢ;{;] W;(Ԡ8(*.s_=(Iq >qK '6DD*v@8LknZp' Kaf10䡊$+n)Mm++,]5YE@1嵪$bᲣw;#irU`ƮHJ; }ev1)@5wfn}FY|k9?a %LHmE,3mh30N1@01g7rn?.y@t[!Ք#ERC9m5{&j+ "{ȀaQQ)3GuY+ D 8 m)'ձYqYla |ugQGXJ_u@e_ǔ |͝GL1oFaW#uْ~F NUF_4uT)Πd_H?Swh* |Jm[2TQܔ0 طK<ۦP}@B\wyX^ zN-TB7xm泃L&qqwX_PكW i~q|i5%E$W ~Ѽ $5|nEKŘ/ :`\ۿ 76?<4:XwOb̓^Lx~OxI?U'%s$(g3P$-Ha{".HqrX=Ƙ% fTM̵v4) qJ]~tbE4 /vFv׈-}rB)]u@(Ub$;{KekzѸPuJH1= ouvbֈͩ:O=J"Y" 2 sj7L.#1$V<zdNũ`З;>.* =>9nDxǺ{G]pȘU8pRꝈ~`+e <fD1'^D\5;$B#E܉؀%6c9@|}rd)tIp~61&H&[KhTa_2Fs*Ietu!d02j8fI/1t1:uHoG,-DލHۧ8G{f[>`K=(lswQWW=Qf%Y#]M*vh[橀=6Sӊ=XLzm%8Yy ݻfKtge}vhx`gg8A.R LnX0KAv 🳗UZuz8:Qq%w]%ؑA[%N3.aD&)>445[2~lFcZCrCN ,sIKkCY'X^9dYP[G 8ѝZ&:p7&t Kn'ul MLXDJp}ZpZ{c$ 9B? AK hVJ)mkkl@BpŦdjRME|a>fʐr|""P%ܙQTBuU3 `/qn(hEG'kA&ҙR9콶liOyοVH>96(ik:B-" XB 6Ԃ 3xNޒalLN%swC+W\{efހ`bX'>8 Ⳣ|(&FQ-mP7x"]| ]?AZ&8C&X Z&ƥuEKE4yo8m:`o_XS"If/DKUٙRO)9hئ (Hˢx0 x:݃zTOÆ zN_1mv4 ؊Qޘ}) $B)e$B.g& Qu>eL)j;X<@;̱뒊q7q|I>]H0шHZT?/̧e'^4)G*a{WL\d(c?j TveAGWە sN+!և|=C1_CجpX'a &l>Q̾/ c؈{n6#ޅLSUVD:@a*Peѿdik"2~ zn2 {QY!Jm:y0!̪?q B~'մl{W16HM.K xAʲo>/\}Pof8IA±D9` ?\-71^j[UUfTdA]4pI*7-t-^Խ QWmߊR}%f#UvXK"O, _dwVF_ 8'im/m5(Mĭrw2g5B7b3%!+=ףJL1pi 岱8}κ@ibvVM_tEW#\SrZ{i$>щ6PW=B'!쉀o_2\1Z=G|bYڒ3GZe܋i#jx8%1姓LD;tleF)-.o=wPF1NEs‰oGf0Ci"t:pk+e[3<cN)}`y=1_cI@zB~]ſ7ם 0 $/D';A iG4m 2A6U<"]:edύ\3,>@|BjDrf՝ceB[gTo= q=kb"KyXw +lST3y͋yW!ׁn'ё|"![?NCa16 BN9N/<bM!7e 2Q< NʄG^xtr?ٝ +7WT.}p৪5' ->AHˀvxh6啕2zR-şͲ♂`@=r]@bU+WՉ[CrتڐIff_Vs|g`QS2TN$8F{77/ ۑ8:.-@$9}Oṍ2?Q׌nBwywv[_)GA3׮М`+2 '5(J'\TRkxi揮IF6O~)xO*]cdbӘҙ c݉C[*¿HWԊ5;L-Yܲtiմj^%kXp7r| -B;WBg&Rw GbHt-GSz"2R?]0dm~bp'D@,\$ݞz]eCe4)ZHD8ö5o4z"`B%KQmΚ(L(?Ah XJ{oB hhdh]֕/AK˯Tx )D CE!FwXu## eK ,a bz {y!RίOvU)ƥFəфO}K}[V~aIS]5DVCT xfL+uV 8Uso yYq1AF@g2[~dT ݙ)I]\_Ee T0{M7Ap}R'fWiC+ l8glr(2H}Na~mGK(ڔN/-ᖘ}J5 4'z`&C[%rbcuG/aϴ2HG)WLVNT Shv n o$ ;<(Tvh`c< $\nj(wG9Ӂ4e@/fm}<*1 {MUhEYvg~eBR !ӌar6p+F1@7gyrǖe񕟳}t!x BzR4 / %n_rw+ FODUmeuIŠwN}Ɣ%mja] PTbHW8H|ȧ|؁.d:a -~WAX䕏Asx2@M/DFg5 }xkqWѿN%oIa) P}cHԻnYkȍ;߶=<Xe~P%#WI˕K-\'_'pptlڎ׀/M/\NJX;:ux3C5,CIF,NIHa0c.Vku129$M]5j8s6R9_ԛޡ7t>Wmm#_ۿ06=5BۡrTĵV1n0*!i֟M8['63솜dg揪p:EX(/KջSInޟь^3uFioԽZ&o(=K.6KDGqMd6>f@4_GE$׻Bg`=蓑PT'I }cj)j`gzK Xm5`8WӒ"Zb\xp3,14*Mq_TQ`5Ĵ7Am7(q",Re9pIRjnxY6ndsGHs̚}lIb.9LaRu敻/ms-\L'dGQ1j?&esyZ՝8u` E>nn@ 9 KfzuQY7FJ:ߡ/u*亅)ٓ>^6U9cJ(v(a܆&Gfv@,J h$U-P& 2M͇GD=ra،.kAIO_*䵈 (0$ ͆ru5{q5Pkʶv&5Ax>jp88,][YU{v5T77(OePwj_z U*U RYS;( Qs L_dhV'!b $G? :If]u>E>6d(ʈJ?G,+:B5p1hr()xat)(nUw 'zo2R5^/ +Zjw03l9CߔZD 'xWl=T^)c1ޔ^]hA.\>l3R;-_Y"X7dEg3HY%Z~&DGX쓈8o 2]Xe=@?GW@E#b֩I 9yZےO>J<`B=Aeh>Bgo݆|kJ}z^юq-ln^g&;¶F'،maEt29|@$+0ugc[nlSswto;?8,a>/ѧ͐ލn lxxve/Hy0iIY<(.'+װMx V[w 5f5X=#XVV'9ifo XѺVZ`S[ p-M` %kūj:H>`NfFXdz7[ӳ!)>-Kt2Ϟ;rSե]6NB |*!S"tItNk5QMl~11tW 6qՋ~Qȼr0-- ÿ;JףՔkB@3ҽ3N`s"u 8W:Ymrֿ;YoyZ2Szy6р4*v?9?]wU|a}N|fLufQҿ862yc֭Iah⏲u` odŸ@ 385ګԄs&kcU;́V#0XB,TM&$Bc#$䡗K5.(E'Bd1Ke2Ѯ^2w?a{{?BY*ʲhԜ2B8qYmqR![g;FGv4SMA"=&Oa>q 0uvhݛA-+9߁Dbp/01oÑٮ0F͞V|rwZ@U8X c#-~D!$(>~C=,)\ҕ_vY*7YXGqxH-k*/t CK&32Pwm24Wc;E.Rǔ2;+2p]_c1h6dA[01C0ɄL0tPB@V`(C ΄!1eHw81c2!.cAt9 ~#A~o :'B&(QݝÍf&La\Ԍ]s1mɨO!|5(\yUܛ=n,A0|ڐf\ -rww ^3[핀 ïBRؑW|@F9|p©~9@k} gF:"Yf27~t@Uy+̀߿֡ -Jq @4!(KpQc.]QW}O5a2 G(QلV#%qP@ ̖ Y?>m}Ro,`a0H.}7#9b74f*>jͧ@VZqBxf5+t wMyPZcAjh.a{vAXW(.[|AEVkAgW"sxPU _ 'Cٲ8=Q .@sd]0P;GXCYƱxYȊi"*3U^/=J7u `<#rJ"3"ӭ%O^l]ZyôyO$ao1 f5{ޣX=Ut. h:hJFq/ V~2.*jrJԫo5hy>5b'D|dO׼\ ?6Il7*+Lc8g|~"\KI?t/m!Ve$S\Ij\>Tv)S܀=9jLB@[WNd M}*KT Dƺ&/FBmKAfT>IsPls*#i8DnshtŏWkߋ_ęHKK hVPs9]8d6_#W`Z'Il<KG.IMktH3##uNd 8Ž\a W6:f)Y`v*oɶh#g+ ;郱 @GF|63".:k{Wo5+*(eD*913-g;AW^QRrXG ;ffzWKvr{Eұi(7*= ړbP,[."u՜f  _8%/Ɋ*WƳU0;{aJAê|m{zؓ]7QInYK-ts"e _:r1"[NIT2-Yyݘޑo^yϢ'@`4KRswkɈUTb3Ws[I¯ݬ͟Mo'X V[N>ˁ; jh $,(3P@IMbKLQ]E/D^˄УjoQ~*f gNٻk|L #ƃrZ~z2xx7t2aB߈szkӃ?dAK)?!Ba0릫# *(6q &1tkWh,)D[G}F6`["ӣ10~M@9RCp(|tz$ |u.p >pc簮T)n@\u/61S}e]aɡjT@ܮ-1vubfu! RpHVz]Һg*_Mߪ_:sE Ťeg59'"93>ə>LF>7jj[elB$d?wkqx9yiL"0S*Ǖ;1xSIcscXP|П΅L$(~/ `s,hb]#NFr\0j}5:I]mY?b1i$Sƀr#"_O z]dSa~MBn]+Ԟ)1zF\ on3uAPRޏ>oOq&;QhFYuבWSrGPΈiȳ!9anQv*PC3p* n?Gwr~zD&([)ȇL =Dy:vesZΏ+nzr0I,+vm1[[/D{DkZD7VMLt@qE%<ڄH~ Z@Cfm ܌&MtT Mp6)#oِ,ye{򀍠cKY)ӭULHUt6 C5%:} l-55?qo&BᯯťQaR Se T-Nm[{okobS.]'f~.Sg ѪWSq֋qxAulal&1]RB~!i-=#ց6&EvNa$5KW|iY4^uU#I*j߈j]'rRCC9(9k''g[eI*}=;_P3(s}uP-#)G;(*rȃzFnZ` Ag;`)qDQ2*`l&Dc97.bGХU4BGI(LQ`:Nder]Ў1V~Bnh~uǴ`ݿWP- brbgCe_ulBr/g,o ?n4y%w[* /(pP&-YHƬius0' 5( DZ7ގaBA4_"dz(= %'~ D~n^In>& r.~vp~,Ѷ2ƮsR2yf)3\Gx-5إ_U3 2-?wwK"V1jusDm|[fVڜe|EqE8 ,\#"g\ t1LN͜|#Ge5I@9 He4+ cFfpۡHv RI4{#\/XB$ p ]#ⲕ ?j"e 9tu \eҪ+@5HuyN$]?{Oi]0?@pJu_bXoZk T@wy/qѾ^g#*[;h Nnn*؞ֆm_?ubXf>qˍ-CĴpO ͙ ܁duX[Lv _K y=#p#rY$?)DyCۢe5z(-,"EQ$g46u97wⳞS.8O͢\̔RG5xr2/{r|\eH}d06š¹Jm7h_K>1o4޵t=qۄX8H׳1A.Q1/P1}4%5TCݚ1"+#]@jdUmev_f/᷃QBڢpf`3\LOܬ#oz;)6XFn~a0N{ `xl!D= 0d%^@ e&CV78yh&wN]5'"Rqw$`x):oi$Vr"&2;Gw\`UM̱}sӞ/l ?]z[:)|\LQ_hƃfDa͕XՖל|Gn )Ҽȧ!aC?D&٪&4%`UFt-i>,Hxn~LgcBj2=Xpփa)qg%n,A`ux3Mf~7"]&FPނ(\ˆ*[0 mAB (:ߏkcW N2BMٖI=W˷ׄjaLp}1<#)7aZ"n<3,IJyw:T8v0 q;n \H`b6,#rޘ!=}80’b~o`tH=7j%Ÿ8s(rз2-/& UX? $qjS`#` GIY@rVrkocRGF-Ul"293v ˔(%LCB=j Mp~{"|V o:*pd!xgpY5q9=Rq .e@u-tn1xqoz  6Od_ ]@m$lfn8MP t~2Qr-LrI9bg3uApfYoGm)Ã-!6% ZD mvpI (k6ԟ`i!hSnf*QP)$Q^S_Z${xy΂-VH]H/ i%w32+V%ş& N8H@pJb(XK(iTCt dDWvC*׹T \p(&-1){ &ZCڹBl^_%*XCn@  އ\kgnA7<+Zi@cS~\H9b-٫y"Q*u,HOPs z6|G 6 ߒ~q[_`r,ݻX Rq{_])5XKYP+rQrtp$$DQZe|\l(8vQ9/+R[3H\°uku7Ds9z:ٟx TYQN w*02DZs;,'~& L ^Nz?VvaQ&֬ &C"nZ*VsRBQY!g)Oy&05^S QHߡ ms~["2j>٧H>|(j.C_RU>95U\SШll֟Rܩ@_q7^@.T Fn+whGCɗ-NA:ϝM+jܝ*WrBMOU$bp a}K4%Q$5KT{֧ 1*)Ll gBcNSz /MwI (5 I'O4ц/dl",fy Ȍ;(şCe~>(:,YgcxWZ+3 s5"2 Q5;qp,<b]q5TayixgU,Lu( _XR䉫&]Mߺ! j"R53Hl<m&٦7k 9s&,a! lwUsY\i wwlMJm9 ]K|k0DMffΘh> 6HM}D3ymg4Ṙf5+2z0@j?T)X7{w,YQ Dj3#^bz;#ۭkj犊&HLjΕk!s.$eZAM0x)!VU}(4KGl_~j+NďV(SpJ[YW@({'j:ˇ?1I'׵nuqQox$ ,W #h׼&`"ގtKN:r76BbeFr̘^%T:cu":bry1ZzA9Nz 7ega%ЃD>/k>8f*^m:z҆!Kꪰz<9ک/It*a.q&}䦅.ߺSwiUTf2=RGq;7s]tPWt %u>6da-_/{8ZE0%842NObk@C""p؜2I,UoY͛y!fݴ'A0Mgr)Q!XbAei͡uy7=KAp[i;=agoK7sGd\@F/5_/To XSÞCҐ5G j,(mb^({ޢS 8ֱcqjz R @dsCv`~@v"u.53U(Xve} 7CMV-42F K~UFq0J:ꄫSJr"Ʈ ƺc֞z"^1`7MfedG~ ^ PG&e0k:.8+S>%3 cq1: I-`xzz,{ )+Gxt)Z6ޚekg3O_f?)3}$tsfsWE"iƌ6! xS"_`h컽YH-u9҈e(wZ|LC~j$M~k^܊;7zYh;$9UafZo\9>пc4C.\R=hs?=ۅ^Mi_VG؁Dkg\F ]mŬ00#e6gd{'D~kCQ `0l?>=#aq+&~i; C RpNtgM4Fdnr盭%CN%Ћ3r7TWSCVY jFM#E@>k#T1 Z(xB\# T=,L\CxL˸ ' Z=:ឧZBިbuF 5i=냲ET2hot`Gץr*?w1ҐDӈl:\jm1At8N 7) YnX]aujoMѕUa%LPl6k8KMׅ8.:;.aIO;qH^aRԥ9\.|rTIsKo 퍰aK_i&(&28ˊ8;µ7~,:e7`cEb) ] ${ ؕ~%( DQgXG_eE2&L%LLM)ƅ~+3SG{o(njdm ,-kJn1n2|U#-rK,07>7EfgEOBsfy`mdA/f~91 =!p:IJcEm2r(@($"\1rMcצ]>*t4=?-!?Vdp-LB0a89\XPrP>ڳp];|/…i?0^,жhW4 c-e*jjZB`W@"7${OdU~r`17cY.2U<ƁhX+dעmhJ! l#vyPs7t$t`֪VO ڳ8(w|"D-smY 4yJIֲ+xë?YP)H UnE;9v?vzj>k$Fƒ0cKTSTПXXb*pDlmG@aPcϷ4ߟ2ݦKZo㘎W9o Ď eόw6L)V=r-z0Z?ȟG?7ɇ|H<Q7kH]wT4ơ[Za+W叜-z41mC pubd)%Tyq8x4"c4l\o1,֧\d7>utui2&Y:nɕ~ѝ*oA!v(RrSu1&=sDm|\iz@S+8T6 OM_TQŷDEk6g}ߺPcӽB(,J !#Zԯ 5,:ۮ_!5`ch1+ .5 pZE t1;Pde Z_}[MԃE\>Y!dC%+¾D2;LF *XHdVX\#S6>r~WD ]R:g ;{ʸV 52QH]Bw 2gS…k n"ߠTwg4מ]:ֹր%>|MiW.kܱ(_N?ܯM,79E轄i:n/wgQDK ȍ1&DX~Jcd@qˈJkۥΑوJˏSZ6=`di8P6?UC3jgR1|C운U'9&V?@KJI@ -#z+g.//A:6K0~>HMfKJNDs/U'/Z?ڴGGqP;V-؈iiqa[Cj->в;#?M\C:Ր)-@e@{Zm _^5sZ*TQm&0E[یrH'oh;N0W{&E _z՞ C(T-kY,ꥇoTm.#q^_}a%LWYv+Ga \U`؉4hhww*!EM>{DKe8eXRάBžAqNAKr tv(Uޙ>j;Q$o ~lI=eV9fUU)x8f(nJ.}} I?B2yJ|0c81[2ݕT7g[Ě/"ȗŸ_< 곌 N*d̽sj=Zw wQ]JMMZƛ(6_gӹ;WW#g_8yd zW6[T'Л"/wh2д4 8c1)Y&Kէ1 ƐVwepI1HBݥ-AJھh cT毀'5]uztXg$u(EҦqy138O7^$4OI{!N/(ƲɞVe6$-vNݻ5ֳsMe_nG6l b&Pq T%o `ۥ eNnE3X=.]6`֯m8\Q@ڈITz ':!'Ư{ŋ8#C~04C+ѸS5k/ ɷִiXa!$#O#Ol:}S~sӜ]{%  :eԲ.@1SK6{%Keiqf&`qq~H KV} )˿=ŘGqyZ8՛x8'uauA76< /qS-on_wMa1:'kpވv[޷DO7<0prP3&k4USgV.5. vm_gbv74~/KG*3K: Vy@MnOþZs`FUB# DF6]،H``q=ǼQΗbbuP&2u'h} Ɩ_G$&Asa.T4f*J35tF\ +'Uho蕧Zhf+Nrك 23`,O_Q{+-q眆fhjfX::AY8=oȵyNns v1|eʄLmD'7;[Bw05_?!'[awUu(my(GWTW $_d JXO,vf;}1T2b2R^:F8z2r[C Y5s^yJa#Ψ|ߠ?E k+&3 2ĥV*P% \xm)-ƌ0 <3l*DZMؙj>h6KfMxr@Y!3{#Ze7 ) d+1yŊyUT_*N9bs2g>~'` q ŧ;3XΫX|kRPul!f=Q^t:*xC X d6!\%\4cE2aS3[xH餰ss Eɷxl xރ؜z؍NCP fldo`\oo[MsyR";/Ǎ5sm ]2s%c5\¼=<^edO$J2MvY!V8 S#ϷiWmtח汋g0L2 Sk=6WѓEF|*{^!J{d]]sMg\R= ?bHt8ԵFD'PO"[|4v-ḓ LS~͸9o;Ni]vj4H%d#/0]Eqw)k kanޗ&z F[ 2lpg}&߾n3e0Kno.Z]({ꔑoB1$MK6OW1uC&`ڒDXqcN=(|XPa34g1h1jOGc 1$+{_eױi=9%1 Y9CdZ"{&goJp$#C L/ :(rN]4Ip]xT4{ײڷ AO ;;=6ҽ`r^|N7u?o ‘jhޙd\R#\X쟞XE$a:W>>S\k:ǗFKTqF,} ڶقG@̯6LBGDN߾qd/1o]ʎKWznJCFC}sp˹mMJEtlA)o H[qadEb2 t "; ƪ^Z54lH2jGpyq*o@ܲ[tq0vpeO Nޛ ) "pQ? S!cPþW jY\hDHT^37'=BZd:O ~O|6@^>֯= Sơ+lVeA~X3җ0#[Jf%xkB@㎑|dٟ?|7 TZؑ/ @_ y00_\B%<;Fiϼ=fS\ l}^:Q \2zEg*V!üUt?}%x6Zg*WlЫ9&s"TNs U${ jtMd"'S~L6u4z8mD\w@#yl&b뵍'H@(+#%$+` :e "?*r,qqZ*`vp B!UWט/CwPIg'ܔ/>Du&Y2!z=YU P.dK00`:bkFѿf爘d? qdgƫ,KGQ[kZIn1KW\/ 9#/ j9lѰoAҪ 7%u"7֡ɴk,o=yfҰ~Q %A exHGC @yx_vޠx/*<;^ PDסH9,j-t-0_O(WP, DoJtA?:s!&ȑ=o[$"qs%,oh+; Q}n:*$%)q5Ӈ K"-s5!zb2rRʾSsY4p3H칂 Ly&2Xw *Pԟސ<^T7 luZE(+߹aǰ7N_ke,!ҫчEG f B_,h󽅣[3(X6!ͮ^ƖVj e*=PԎnR}*ۥ '$ Y{q?`FՑ8\ 76*gbwH4e޼xwuF2`5[Jƨ@N7$[7 (R$32_`)8Y+ڢ;)QeAɰp& PM,!gDC˾FcS^8ՈA.=I7 V0&/M4N6mkz,0織Esǒ^=*D4I0|W&>Rm؁,K`h|/^` Z( 17̔L bL6s[*Gr&-ב4L"п8X`<'eB^VxLd@?߄. ]OBΉ>u)uİ5Xt+$qy +I LqqoqA>ϧ:wD(,sGfkl;jgs\|35A+:9ޫָsNl;x͉e+?9vVp1(mZ[e9j^-80:<-4z:2ً9q>c-G~ Pd_ё12ZcsHlP6'4DAm|qPtw*/ؗVv}z7P^{$/fH~XrA,)VPyC?e}Ϟ1{J[".rVAQj~(EypNiY6]:bAm k+ !C&3ji0Џ2}\"R:]$d@iޣCI:=OJ"Qi:=ZXpB6Aԩ畈rsBWA}迗\_]oS>p%!$H:֘;Ze;WPY/!w\TS::fΪ5;7E7m6-08٤Av]nMlG+^Ksq,Y}g;A)0YC<1yd/jJ0gT[oGWBC@#\8x@ mqh”OδZtjrLi99Bdj(w#wɜSEg/QLr3/WgKLW,'Kq똹E"YuOlJ_^9O: bI~mqLnCnVqZ;di.|]nU⻂gD%; k$Bjܚ%.Až^k,oU(RXTDK 0׎4QxWmgGlpO7i%O<3@!?{XoV @HIQЅd:O'5wיS!jJփ>s7H_6{fVwMc;g~.g_R N9&Jz[Ӧd`Cwӌ ̓6#K(&(d67yo80x$]lȔeE) r ƫB {EIR+,'hq_s _ulD1l1dW>q :8 Y,\NƧnK@ޕ6|:HKob T`qM ~~KJZx5bW1#s3&k3[/M5΄utcq 'G.!2b"ƗUm~R>JUߪW]L@En#no/tIL` f<1%p!Oa>Eg ژ>W}I7u% Pז1&}/KۯѲ?=-x-?`U(lYV=:xuMdC!,[3c :hn]i(_#ST5}sÍon|STb:S AL!ʀw`f1ykCp3(Z 6tE&*5CglA{h@~N<K6D]T ~# so"X1FbV:Ot%Gd-^OTcEs7,G9ENOIZX`->b8/b> v^'<'4߁.H_S"Tdg,%%mZ obally`3%B !ijǶwhS7#[|hjʇdrh2`ǼG`cGxi;in @p;B΍yQwb]̜(x {cE TCq5mh:-[&ūB+ aN_8BG/۰в;[pqZ?ۻD àҙQE OS4v4 =0̣eD9i\&Ʋ8`)]✐`f`qxwzI6|9H?BgYz^l~F/.m\6/fJra'j6Pi(C\?S>WcES9{wjl2}t3k#9AW,|@G(cS >2a̕F哢ryAy2nzV"+"͒NwCk= { U'aTJ`[7'sf=ql..*ưn"ez |w|ov90Qv*Y8t}`4 屷^ʏENI$R8W_&3`.0L\J$DUeZ҇nn4H?AvSw΃o bg@W;Em؄3\vd-iy 2BZEzaAhD/uFH9E [&;xsf=S]chD\GxK (~1Y? p PBṀ$a+\B}[--&$ߤK0WNٴղ=E`'{uh*Ӏ^[M}:Zr FU~ky0:~aXl9d,*t7+xP8n@ho^W4ΛKN>PV&:%ՒV';cm\IfM͕P \tOyh@HkAIl +ጨ3PJ_Zv+gFN/o8l~k db@g^Gjȯ j2OSxA.qmQ5\Mv%e4q/PysaTY)n*\ ǜ'xcޅ??1}iP8m?4x -vxpٞ6v'6muNޚyZ"8$z¦-P6B xW~veg4 TB[ʴU)sẃ ^z*f9ӀMXS(-|{o<sAI9@2`-nHx:YKaz69Z!ernĦ3bU✦b?hqM߱9~qGH5$A]u6_jVUkcW(շ[=jESʣ5Ad$#gEϩ@I` {* I;7i_؈f+' 䝵L5 dIQrB#I Xd}0;١ k4,jyJcp0jPȷtlq?։ŷh /z? iiu-i॰ġPV,/Y=݂>120T~ϼ.niŠoC^b~iDE=g KAk'>ԞDt\Dx.dzR@V~fHeI±6quZ#& a:N|D8QeY!` yiff2wмi:tf3g2qnjXsg>% pכQU{ڂsXŭ9Ir$ TdHWoDڂNܟ3q|i9܋Utn8;$RtSro2w ^=Ue_;q])n虙:ԟo8\%Ћ`SOΒJ5/{Cdl ؙ0&vrRpOꈖljj{Rkq`^*='Ƙ)H.p,3{VSqVM{͂yl~crLb!\{k8Yݮcgzy2Bԓ[W #DzA?_CteBKш|畳3@U6>` $=X tw_4֣GOTKorE끃PoAesLwn;,YWДߡ(|&io #hW8dNij6dK=Ir}հh^݂(ܛ\+(ǝI-K5#+#>흿!VMO3TVخM]e=}FDؚ40q[٠yN*G_1o*/UXZA(-/;@Y＂MwUh\j T H5i!Ay^én6N2' vH6/7aa罗ʇ !Q?߷N{ӹ\xRKͪ/2`mFR%7=+ rr=8~>7Nx:*_6;g sl8&+uI)fk&͜W64jOjT.1RHsQ=IZ".! iI&2ر9?w7D͹ (|'} B |WpeqNjed"iE\rDq^/c #U>:257-X(Q 2_ae,ykw ZNieS\jmFS12io#I<x & hE-#rĩKK4,ЏO@#+޵uZTGu gD\Cg`;6&r<4r0l-5*:%qQa/$a/ߖ/IIZ(*"9G*#ǀIXr U|:ng`W;!9qqd7Oh*ix‰QcaM`ʊ3EGڒ`ЅI(ޘH g ;s_ڗ<'cTT\0FcibwO8-},y!nQp=5 d_7޸ "ƳV2ߓ/`MGu CLmN' RRY4?`sǁG}TP3DCBD|Ey80\F5{8>RI ez;q;;s'ډzˁf$!j. 6h='ܥ7((J羃ّ@-v@cy>TmE"R>݋L{x(HAMttrwvC[&}ŊwQ"O֒rޅ)+1KpЪB_aXGqh.=Ioq'D-^ QR=:)f s0:Z53i54K%8fȃ:p1XΔjpV#_t^ch'ZtWUx * t}3#_c0qΪ`\HV-xJ=JRP8 .!}4;|/ $1Zt1?])swE +))GvK'ߺ2ir*SWc6.c m1ݖhw) Ȣ!P4Ǣٓp$(I3xg_._H6j.,F܄v $2} gt5/t=xQ?4mbхD)_HTsC};-"QjQĦ%=L$blA4fR;ag& Sqpmx4c⺯ɩq%NoeI1зD< rO/G0FSmZwtX<(s'@fWʐSZ^d't^$SD}79 "m7#''NcbeGD,ho*ԼZ:'E0  z({#j0so0E!4nnM `@k I<םBW}>[`:+W%n7VA ` HEڳPjqSl~O}W0]&JxX Bm&T[q>$V?ya&yYKfo5}5uqD%n ^x X|C8=DkU- q:]^E#C}J K0?)8&İA? aDcwU.T}83יli &극uV?1~8dA_sMdVIK@ ;%pպZL)%j人b}Ed5]pGz)! ط6UxR|!hRH<&)=z6Nٿ { _1 %>u-&3+Mٗh nt+_鱤.C臖i#nhED8?f+l>] X=桉((oKG<ϑ$s!s}-dm,jy]h0ӷI2-5 y+4!s˩bܭ#38ZBKPrJn<;|mr0Qtl i?,bu;np1~›غti$Y 'dٮK$,V`f*fŤN#јn\' -ry8[^QȔV\BlD`&>p*$$6݀ rsW;q4q 6@ ɂ'>ńX6Iи]5i&\j D|Şc*f捌^;cʴ4""@n鬟k1F 3wFh9I:1Q"Gi_̹^o ^}Ǯɷc^A}`[5ugwrM4T4^=(GOBL_?I_*We`}dxUi>pI4V 1ހ ܕhdZN2C L50Eo`SFTfvNtd}tTј.Hd-r W\5]ԕ:\XނEv/nz-2͘hM,7s.5/1J n/+Kbȣ/il9qأĖn降&K33SEdudꊰn **a,Ҝ&-Zz +V}+94-2gEs!qlL1̚Ubj2oW 1?}TG.9 }_wiL% 5D;:De3>m>j2Dy%b.@Ց̡Ą_|82>V0 ucAϣ-rQ I>?r ;`|{gr>uwwCժzC'+2%\WF캸3vs&6#;|YI%=~z$gEA/ =1=k(6&$+U=kƮ GipQb=#T$=>I9&}[nL+KmH8t>dB~6ź(Qu_|)m >umel.Ϸ.[ ~zivWƙ#H">!L@jԜ <)6@(9Y1PN7uabVYW-Z12G0?!!F>T5Ї"?/?7!SNhOX9*@y(-S'dty ~BSt5pΒ`ՃNSWW Pa$N?ʉ!Š(f'v6E2@uq1]*[0y{vx"{LN z #L.Bl 1mkU))q X|G.Z"A}vZL/͐6C) pW-T81BpI:DfVn44#cS r K_zYwx0eڅ/!qX">U'86 \s,07NR ^CB{PXd mʟQx3DH_$NKi{fI*A4ܶjÎ;b bhֵpɹ,N?$YX!ndшVlCTC\F`L t[򦔿QyQ[’qN@ ҬwG(ϙ=1&ȅX'-UT tۡ|u?1z^M3ݏ.^Zw-tDI=?U/RQ{iV¦=sRL/k5 ,Q?dR>2")Y<4PAt;r.2{糵tJ |z/<$_E1Gsş?drH&(䎺vY z7UCX٢Ӹcvv DiH6ǠL4xc =юNRi;?]P΢޻|gab6Gif*e+֥ ޸äq /$@SV ,~GnkPQv}m ǩ'tә?I$"Xx3`2`'"S])TJ1ۿZF1Wo&+k\\Y^'pژu5X1tf\ceD/@6]`d|NIٽD&n(`z(Ysl3ZHS KxRrw.=  括,VYi賮i?»xygؙ~2ki;i<X'9 .X G/>Kfz3dBUʆH橝H{4j}%sx2l)wP1D[st^. fB20.ie'v *w!Xst]`ogׄY{Q.nm, l'ŠJO-^(fú$4򙕠D^got9y iEj/x)gA^J.r(+Zk% L3 x ` g51K,ql!@縐"z !o!$^5oVMEyEZdX΢ qz:%;~ڹL'瓗 ]sCԧ~=B9D!øZAW{VD%SWQ&Gw%|j}}蔅΍9#Y/wUʻVsl%SXxA :i&Ueɩ_gML8E5lliFW Y4$PBBa!c0ɢ8x픉J(;WY sm!xiEP4pP foh<'/So#-Q{1o<YgۉCyJ֗jTƌ"_1<"&dMOwq?Rz! V+ fʂﻌ5 KG))2[tBd/nF0/DCgns7/5a׬ғe,56aED@Y"Wk-bce 7m;Tz>(<c`&k4x@lET(o&9/jHU{Y鱯8J4:Q@NpIY0m=[цP$$Z I‰h`ykzǘsSඥ3dҠ WwٔC%3t"Bw/<A.4tY*BR lW80Ҕ>(3n}4" ]~z<{*өLf([;e~Nk Kr"ڴN¸4گ )݃R7 1HpLuieUU_^,dpKo\=_J?_Cz`SLaלP_*:FTKVH̔tjdvk+>q曉c"b`O]ȠJ( hi2`˷MaFe,LyU|\DKn_rt˒ב/c@;G RXFo}B(/vR 99T6?.2pI4G1F.-’WPJ᣿+VoX݌ޝ:D6j^4 PHk@)a{jiTK 05d9*v.ԟW 6ldhԩ&3ugÔBTda  )L*ցNי*C:TE>J[4Ǩ#Cȏv{PGZcvFW ^GdXga dTYF,e<+n<=Q@[񮥁3Wլ.'Ѫ?STe-^?e" Ͽy)jZܹ !u? T8$JPcC#7?كCQP(wW]XoY()~ږnLc\Q}A6upDFsx!..JeWdPz~BX1BP}yX 4p14s0AAhqW{WjZ6,Fh?C)yg3뚿=G"Ơօi`{OoFf5X2Cf-핪uĸ(}DtîޓE+0"CEٰ~7OB 3-!z|I w綂±-1O<_E~Ai8YB5^q,ZnK*nMSV$*sfHRT_USѐɋ#%_b(jW/c$cp~~Y>ݟAr_ 8q+IMlr!Z(FF lfP*r~ =wZgJDxT ` bs3'HxKQpZ8Qƫm, EX2^W-3Uƚ𕦳yO!+A|U5<:1#lJܛskr]`ݬv|S̘C AF@AsC>_5lsP1s\?p ~,/ȱo (o'Qms^>qWv5P򟫘s)ȴ#4!ec{ ϮքK6`ف?%IӜAX=,b49Фʊ"X=~vZ0VxjghJ]K`7ao6ի>ō}BGI2KIjXVta"M45)k!L2gW!/(@cH1.4O @nĊO!c B[9S(5} 9rm5bt6vc>}Y)*YR l|Ft_李ݺ9hO7s r/.R`aRO@ҀV bH}Ydci_xҾCdMJI>/+=En@o_Iw t!3loL:28 #1XupY[a ѠxxrwMz6@OPQܨx)n ti%4?n9ݢ>~qz%4Hu_jҔa?w m!,8wr/DP,(UB[$CAH(E遾{ R.B/y ۋUm$q&9I ,y;E^!Ąv3R6;[F s $}h`n FH1 YZ