armnn-opencl-devel-21.05-bp153.2.3.10 4>$  ApbX!M@eee.9ٔL|N~}}{/xMy}*;riKFJH:]}F7_ A->i-srC{l89@EBnx'^NI6ڣEvVK@ը<J9KhK FLԼȭWW9TLя4p/+2#}#X 7tOw.p53Z I38E\jL>8DqErou3_2b9b3ec65aafd20859d7fdf89b1dc9b49c4fa463970ca6997c113edfe19ee5ba873925bf16ff6d47752efe6b7a7d89bbf166f11a'bX!M@eee!f7\Q׿[[^ڮ\8(r*\".$|wT RT55ͧwL:cHhrfZoK<&!>ŀ sY^/V^Yt8 iFƔv;Zi:څLV5%̶bV<^!4!+gpA^D?^4d ( T 7WYY Y tY Y Y YXYYY `  ! "$"("4("58"<69#6:-f6FKbGKtYHLYIN<YXNYN\NY]P0Y^V<bWcXtdY eY%fY(lY*uY<YvZw[Yx\lYy]z]]]]^0Carmnn-opencl-devel21.05bp153.2.3.10Development headers and libraries for armnnArm NN is an inference engine for CPUs, GPUs and NPUs. It bridges the gap between existing NN frameworks and the underlying IP. It enables efficient translation of existing neural network frameworks, such as TensorFlow Lite, allowing them to run efficiently – without modification – across Arm Cortex CPUs and Arm Mali GPUs. This package contains the development libraries and headers for armnn.b^lamb15̈SUSE Linux Enterprise 15openSUSEMIThttp://bugs.opensuse.orgDevelopment/Libraries/C and C++https://developer.arm.com/products/processors/machine-learning/arm-nnlinuxx86_64Z"(\'|>0&-0VP35 Tn3I0)g}!yV@a t , 6>q}, $ w t V  % y^ PNA큤A큤A큤A큤A큤A큤A큤A큤A큤A큤A큤b`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`M`Mbbl`M`M`M`M`M`M`M`M`M`M`M`Mb`M`Mb`M`M`Mb`M`M`M`M`M`M`Mb`Mb`M`Mb`Mb`M`Mb`M`M`M`M`M`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.so.25libarmnnBasePipeServer.so.25libarmnnOnnxParser.so.24libarmnnSerializer.so.25libarmnnTfLiteParser.so.24libtimelineDecoder.so.25libtimelineDecoderJson.so.25rootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootarmnn-opencl-21.05-bp153.2.3.10.src.rpmarmnn-opencl-develarmnn-opencl-devel(x86-64)cmake(Armnn)    armnn-opencllibarmnn25-opencllibarmnnBasePipeServer25-opencllibarmnnOnnxParser24-opencllibarmnnSerializer25-opencllibarmnnTfLiteParser24-opencllibtimelineDecoder25-openclrpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)21.0521.0521.0521.0521.0521.0521.053.0.4-14.6.0-14.0-15.2-1armnn-devel4.14.3```a@`*b@`_м@_R,@_R,@_P^^@^ϧ^0^y@^h^f/^AE^0"@^0"@^%@^@^@]B]@]@]@]@]W](]?]?]m]@]@]@]p]p]o@]@\\\]@\ \ \t@\t@\@\@\,@\,@\@\@\@n@[Q@Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Dominique Leuenberger Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET - Fix libarmnnOnnxParser version- Update to 21.05: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.05 * Main changes: - new capabilities to allow users attain higher performance by: * Making the Arm NN Core thread safe opening the possibility of running multiple inferences on the same model in parallel software threads. * Allowing graphs on the GPU backend import their input and output buffers either from correctly aligned main memory or from kernel memory exposed as a dma_buf, thus reducing memory usage and saving the time involved in copying data into and out of the GPU memory space. - In addition to this, support was added to allow the MobileBERT network to be parsed and run. - Finally three deprecated components: the Tensorflow Parser, the Caffe Parser and the Arm NN Quantizer tool, were removed - Add patch to fix include path: * armnn-fix-include.patch - Disable armnn-extratests as it fails to build with current version- Update to 21.02: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v21.02 - Drop upstream patch: * c5c40fe.diff- Fix instalaltion of cmake files with an upstream patch: * c5c40fe.diff- Backport patch to fix tflite parser when built against tensorflow 2.4: * 96beb97.diff- Update to 20.11: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.11 - Refresh patch to handle boost::variant to mapbox::util::variant update: * 0006-armnn-mobilenet-test-example.patch- Add python support, disabled for now as it does not install files atm- Package libtimelineDecoderJson- Update to 20.08: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.08 - Refresh patch: * 0005-add-armnn-mobilenet-test-example.patch - Drop upstream patch: * armnn-fix-catch.patch - Disable ONNX on Tumbleweed since there is a compatibility issue with ONNX 1.7.0, see: https://github.com/ARM-software/armnn/issues/419- Build only where ComputeLibrary is built: aarch64 armv7 and x86_64- Unify Leap/SLE options - Update to 20.05: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.05 - Drop upstream patch: * armnn-enable-use-of-arm-compute-shared-library.patch - Refresh patch: * 0003-add-more-test-command-line-arguments.patch - Add new patch to fix build with gcc10: * armnn-fix-catch.patch - Package new libtimelineDecode and libarmnnBasePipeServer- Apply boost link fixes only for armnn_extra_tests - Apply patches for armnn_extra_tests only when armnn_extra_tests is built- Disable RPATH to fix build on Leap15.2/SLE15SP2- Add '-Wno-error=deprecated-declarations' to fix build with latest protobuf 3.11.x (Tumbleweed) https://github.com/ARM-software/armnn/issues/366 - Use python-onnx package instead of python-onnx-devel, since it is now a single package.- Fix build on Leap 15.2- Update to 20.02: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v20.02 * Drop upstream patch: - armnn-fix_include.patch * Refresh patch: - 0006-armnn-mobilenet-test-example.patch * Replace downstream patch: - 0007-enable-use-of-arm-compute-shared-library.patch by upstream patch: - armnn-enable-use-of-arm-compute-shared-library.patch * Add 'vim' as BuildRequires since it needs 'xxd' tool - Use TensorFlow 2 also on Leap 15.2 / SLE15SP2- Use Tensorflow 2.x only for Tumbleweed, as TensorFlow2 is not available in Leap 15.2 - Skip some tests if TensorFlow < 1.14 is used- Enable ONNX on Leap 15.2- Use tensorflow2 as armnn 19.11 now requires TensorFlow >= 1.14- Disable ArmnnConverter and ArmnnQuantizer packaging by default as it requires libQuantizer.so to be packaged, which is not yet- Package ArmnnConverter and ArmnnQuantizer- ExcludeArch %ix86: Parts of the build deps (tensorflow/bazel) are not supported on ix86.- Update to 19.11: * Changelog: https://github.com/ARM-software/armnn/releases/tag/v19.11 - Remove upstreamed patches: * armnn-generate-versioned-library.patch * armnn-fix_boost.patch * armnn-fix_arm32_dep.patch * armnn-fix_arm32.patch - Add patch to fix include: * armnn-fix_include.patch- tensorflow-devel package now includes *.pb.* files, so remove TensorFlow parser build workaround: * armnn-fix_tensorflow_link.patch- Add a conflict between armnn-extratests and armnn-opencl-extratests- Add a conflict between armnn-devel and armnn-opencl-devel- Enable ONNX for Tumbleweed- Add downstream ArmnnExamples in a separate '-extratests' package with patches: * 0003-add-more-test-command-line-arguments.patch * 0005-add-armnn-mobilenet-test-example.patch * 0006-armnn-mobilenet-test-example.patch * 0007-enable-use-of-arm-compute-shared-library.patch * 0009-command-line-options-for-video-port-selection.patch * 0010-armnnexamples-update-for-19.08-modifications.patch - Fix build when extratests are disabled * armnn-fix_find_opencv.patch- Replace patch with an upstreamable version: * armnn-generate-versioned-library.patch- Add ONNX Parser support (disabled by default as there is no official ONNX package yet)- Re-enable Tensorflow on Tumbleweed as boo#1151150 is now fixed- Update _constraints- Enable openCL only on a separate flavor as runtime requires libOpenCL.so, libGLES_mali.so, or libmali.so- Enable openCL support - Disable UnitTests when openCL support is enabled as it fails on OBS workers- Add patches to make UnitTests to pass on armv7: * armnn-fix_arm32.patch * armnn-fix_arm32_dep.patch- Disable TensorFlow as on 15.1 only x86_64 succeed and on TW we have incompatibility with protobuf (3.8.0 in TW and Tensorflow uses 3.6.1 internally) - boo#1151150- Update to 19.08: - Changelog: https://github.com/ARM-software/armnn/releases/tag/v19.08 - Remove upstreamed patch: * armnn-fix_quantizer_link.patch * armnn-fix_caffe_parser_with_new_protobuf.patch - Refresh patch: * armnn-generate-versioned-library.patch - Drop patches not needed anymore: * armnn-remove_broken_std_move.patch * armnn-fix_build_with_gcc9.patch- Disable LTO until lto link is fixed https://github.com/ARM-software/armnn/issues/251- Fix build in Tumbleweed, with latest protobuf: * armnn-fix_caffe_parser_with_new_protobuf.patch- Enable Tensorflow parser - Fix link with Tensorflow: * armnn-fix_tensorflow_link.patch- Build and package libarmnnTfLiteParser - Fix libarmnnQuantizer build with: * armnn-fix_quantizer_link.patch- Add _constraints to avoid OOM errors- Update to 19.05: - Changelog: https://github.com/ARM-software/armnn/releases/tag/v19.05 - Remove upstreamed patch: * armnn-fix_stb_include.patch - Rebase patch: * armnn-generate-versioned-library.patch - Update patch: * armnn-remove_broken_std_move.patch- Fix build on Tumbleweed with: * armnn-fix_build_with_gcc9.patch- Fix build on Tumbleweed with: * armnn-remove_broken_std_move.patch- Call ldconfig in post/postun for libarmnnCaffeParser- Enable and fix Caffe parser - Use %cmake_build macro- Add compute_cl option, disabled by default since check fails as no openCL are enabled in OBS- Split libarmnn and libarmnnSerializer to separate packages- Add patch to have versionned libs: * armnn-generate-versioned-library.patch - Package versionned libs- Enable NEON backend on AArch64 - Add patch to enable use of shared lib for ComputeLibrary: * 0007-enable-use-of-arm-compute-shared-library.patch- Update to 19.02 - Remove upstreamed patch: * armnn-fix_catching_polymorphic_type.patch- Update to 18.11 - Add patch to fix build: * armnn-fix_catching_polymorphic_type.patch * armnn-fix_boost.patch * armnn-fix_stb_include.patch- Initial version 18.08lamb15 1655569502  !"#$%&'()*+,-./0123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXY21.05-bp153.2.3.1021.05-bp153.2.3.10  armnnArmNN.hppBackendHelper.hppBackendId.hppBackendOptions.hppBackendRegistry.hppConversion.hppDeprecated.hppDescriptors.hppDescriptorsFwd.hppExceptions.hppIAsyncExecutionCallback.hppILayerVisitor.hppINetwork.hppIProfiler.hppIRuntime.hppIStrategy.hppIWorkingMemHandle.hppLayerSupport.hppLayerVisitorBase.hppLogging.hppLstmParams.hppMemorySources.hppNetworkFwd.hppOptional.hppQuantizedLstmParams.hppTensor.hppTensorFwd.hppTypes.hppTypesUtils.hppUtils.hppVersion.hppbackendsCMakeLists.txtCpuTensorHandleFwd.hppDynamicBackend.hppIBackendContext.hppIBackendInternal.hppILayerSupport.hppIMemoryManager.hppITensorHandle.hppITensorHandleFactory.hppIWorkload.hppOptimizationViews.hppTensorHandleFwd.hppWorkloadInfo.hppprofilingIBackendProfiling.hppIBackendProfilingContext.hppprofilingILocalPacketHandler.hppIProfilingGuidGenerator.hppISendTimelinePacket.hpputilityAssert.hppIgnoreUnused.hppNumericCast.hppPolymorphicDowncast.hppStringUtils.hppTimer.hppTransformIterator.hpparmnnDeserializerIDeserializer.hpparmnnOnnxParserIOnnxParser.hppVersion.hpparmnnSerializerISerializer.hpparmnnTfLiteParserITfLiteParser.hppVersion.hpparmnnUtilsDataLayoutIndexed.hppFloatingPointComparison.hppFloatingPointConverter.hppPermute.hppTensorUtils.hppTranspose.hpparmnnArmnnConfig.cmakeArmnnTargets-relwithdebinfo.cmakeArmnnTargets.cmakelibarmnn.solibarmnnBasePipeServer.solibarmnnOnnxParser.solibarmnnSerializer.solibarmnnTfLiteParser.solibtimelineDecoder.solibtimelineDecoderJson.so/usr/include//usr/include/armnn//usr/include/armnn/backends//usr/include/armnn/backends/profiling//usr/include/armnn/profiling//usr/include/armnn/utility//usr/include/armnnDeserializer//usr/include/armnnOnnxParser//usr/include/armnnSerializer//usr/include/armnnTfLiteParser//usr/include/armnnUtils//usr/lib64/cmake//usr/lib64/cmake/armnn//usr/lib64//usr/lib64//usr/lib64//usr/lib64/-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.opensuse.org/openSUSE:Maintenance:16481/openSUSE_Backports_SLE-15-SP3_Update/869f68a4e3bc1c05b750996021155c98-armnn.openSUSE_Backports_SLE-15-SP3_Update:openclcpioxz5x86_64-suse-linuxdirectoryC source, UTF-8 Unicode textC++ source, UTF-8 Unicode textUTF-8 Unicode textASCII textP?$>cb۱utf-87dd61905b52887ac8b3eaafa36d94615128b3dcb850826fed1b806505f9f0ce2?7zXZ !t/] crt:bLL Ap1ɬsŒ<,F;⧥Ckn$؛cɈUҝ4"ЛĊ \mH,68xdk~BdUV'D_TQꆞ'3H8}5H\ B"뒛w%6V0nXGiv5YYP=h0 \PhO> '=Kq@fA]N|.muē3S]ľ ndj=h* wc,%lDɈ0 AWI}"3(WfR͋ O7Lvwf svnfT\L=^|1Ke}usլ$tih\|z'r,6c:),f`SLOƛDՊCʶ0KPH3&.ہ`n0>3lI(qj%^#ub1%!"Q?4<-p,f%X|;jFT-z,w}k<$:y^ :nJ6G:t;ݎ,{5ZWI0%WC?ܖѶ5#dTQ&h蒏i<}B/|3:AxiDՉr(E%~Ɏe,0]8!R#WPDYeն_}d'-)p$/_up.͟Sl H8h8VnX|>Pdrcd"ZΖZI&2cA<5!?ZsI/vRHݚ8޻5mW=4iYğ^F6 3\$:j  |4^2CRV/5 _\zK|Q̆ӫx&*FMz)VDTz%Gep }iDkciׁ)c"ǡ5㝾:Mb1^G sɪ}5* R 1@aD×a&j9fO!̽#JiƵ{-C6z=$A(9)R'Փa/Yq1LQb] ·9V됓aL5@0hq}Y)m&ކm*UsI"l.FmGk0[3g"rGW0(+2͊u8 8j3G('CPڬ@&>wM=l:2?W)!V|ap+ 1,lWA 9A)4*ޱ;e0/ 瀗E$z+p>f̱3JIR$\TnD,L-">B P: Om3^بx)C>d \r|R=[M'985 Ec_I)\ CM-;2*-`/1TpN@rׄF0TsՙCP< Mf dbɾSZ>I+"WY[~JLj7)9!Nma|VcKhJaU)P>Ź:C*䋜Y Ytdg]H`gAˀ3ۺYO~mTplt͞ms8'W訟Oܒ b,ZW(2 {ҿ_Vc7]&(; DXLw:nш"UTYP$nP/3;]C.U䀗tRҌ"a3th|b0 ¿7O*e>k\mG݇>I5ն/O`v@H@%J(t@]EYWhM;p`2;h=z7S.^WQ";9JS tAwg dPĂFj oGBFCg:;#^ePz?D a@ Q3u܄KVBe\y@!C*FY\`iJVtQ56iyw %,Buu$wL(~pdt2RXpKwZuXԋYpHc!DC6Y(*WHg ZՏ;bw'F1Qv&Y3WQB4[vC o ޺::3H>!jZ'fJ$κ]Jg+o3C5vn}vL&>@.$8_~w[7Zfw L0 ָNLZok㋊Jw鿹 Hxʝ:r 'zb߹0b+X1lCy_)y<ҋ/]Oƶ3(y[~"zW`f/-U ^g?˩z]V@ ꌵ31ibuTֲPLYJ ު%^^8LwXefm*·ǹj pF*,piHY .ljrȟ{m[Nn*@/V[ABHR@E P%_{x%yf#_jaӔwhdA\ +%@;e}'IISV.;xcu +Uũ 9m7 &_y>OYڑQ}/D`pT":kI0$Θe*`6c qfA ? x4>ڄˁȊ;vY8Xb^uThR0Fm~Kfa$Aa2y$FVq8d"}X;3jj k&)3qHJa;) Z`-T،gZ l~ot#e}vniJ:]Lt3(hIߎ$o<|SQנA8ʦ÷`FF5'pz7_ _ہh'Y0t*.EBU2?GGH54\r%J4)L8L#S ڿ&2n{_1Xɇ}~y k5@ݡ[OHn)2ͣ eLFBh X(䵓h=p‹vGK,qb"&74.qOyDldIH{]e36UP\W8,S,G8ᇘw w& lؠar]ۚNG0)jZVG P ܳ;~Q:U up꧓/H0*n 5vnSsO-;HBP˕5D@xb(Y;}R-G *[qR\qH=Kx]ⅹu3F x V7=g˗s]R-S߯` 1&]\'pҨ,5\rn-J<\{e{&Q3שNKx"|Dt 3t7ꠖWV"S>qR4sd>lt*o\ugTkpVH}”Z/pJ~c?A,3'+c)r[ &e彴MN%8B|6ٗ"G pMp$ߨ(rHhM#j=x֧@A-ߙEzR1DXڕcȃ3ȑlD^4h:waoco:rT"ݥ>ENJr\b9sQ鶻q^N3gbq>̻n6VYme_3Nx:~'k(KTJw߫Lv ^m|֩5N05B-(b\ f"n,@|e ygЫh ׈Kmevng2VxLwwjl']rC7ZNU~Xm}~W/ = |Iag|LSrsCI$: di06Q+ XqXBF 44~Ɩ# FXk P$wǞUVF$Kc걾p^ڧ@=+eX[%Zt?OՉrA&,D_Ōz]8Z;LXu!w:dۖy*Ƌ~ >Hoh>p Axg鱲HspMP-f{Ή6/7sxNЩ s(dP{$кkw \JwR,ɎKk7A$1 5]u{w~TPGӬRigE;j`. c* ~U<2܀o@A3-ڒyelf4_ ,> 3kBQ '9Ya")Ef \oQ4KUmO-;X_CH*G2{%Zn1K Jv548BtjZ42X (ram;%T]mzۦ0rvNq4[ڈ,sY|YTC9k!d*fO˺p ,bQQҕXUx k(ϳYL:)~2_;Ҽ6uJ2̛fCX1UN,caO0νЮ"/G78 0ř9Άt`nC  )IrRxeEҩ4 +^Y0!GKB͝pO3wH,.i絽VdQ&ẖ֜a-9׫H M$Ɋ+AKՒn@A|4-lj_=L+w"4Oo`xlbir@nOg}ӭY cCLdL ¡fq R`D>PF4@~MeiH@p+6X^FEQ@)Y|_OoD$G9쐋NΜ͵$-:]DDZ9:VaA*`J /ƀ"39gA#:|p\03R}a,Zz`'4w8jOi]o|ѧXStWz!_V5[ #Sڙ3_txO!ސo沮;K b:]=xFXXECe0e[U״J<)'F9 s(pI,ö'9iJab{ydɜs/uŪurQD3Ʉ/R :2Y4Y'LU{ ^|eQώ;7,5`X݇-ڭMq'O]mӰxP/j(|cdu>ک\1*6*y8 4ZVhC16 "Ĉ,0BH-#u=lWC!dWukq,}=VEܔY4hȂx2K#?*;~~vK)!|#L"$"5rdF#=p̎uQM(n$:\5?FR5l<)x5a2SӼ2:v$m@\&+ۑX^3Y.ٗlʇf oOwt6r彥s4x6^ahw@j޹rs[&.D!਎~R7un;;菱Aтi.dh0ܙh<{08 M&SDYɳmlYqDG|kzq x%KWތq1QݘD8{;=y]leȈ+h񁢀UOtInreZQ(^ۚ⪽_2Q@N,W<6 cz|6(K9:k#ɮ%:R1$NB5jdH3 ̪̀ĠI :pа,b|1NP#MCy[|h'ޠ9$,k.BL_OGV >:$Hrh0gH)J'╮c)5UÊciӇ]fX17[XKjlZvhE_BUCd:5,>QcmsE$O0,ʎ? |v\`x[VudB EE (c"1ۍA_S:L΁c`t}FJ f-zy6Nuowzof# *eі$J򷅾NmUwVֳXд٣ uBIΨtp3jFۤYݨk>D?fC/5FKk.p.:V:bsde7Pi_uHQwt|#!Y"U|Tp&P-W7hR2 Z 0ɷ[$ԤksЩCCp/h5_fU8E}M2z[6nԳ]T-WH|2H> ԉjs &aTCkx'T7P&['Je'@98;:EzCf;k8gܟ(ޭRXBO*KXli收ķB+H ;6$f:}E^춒'{f /wn,R5~IFϘ08ƅO̲? m)?:c係Q ,m\Ĵ~KgTחr9O75$LN-)sVآ?|u) SIPqd\5.d=p_WExiY/y{,=3Ē%xu.YZוQjTob,p NQUl_!hM'bwG~qXnﴚlxZz(gi QlVۈRoC7Z̎#I  pͤH\Gޗtʚؤ@Oz@XoVY'MmM]o;dt }|OT2GT_U6y6x) t\g+tF, L:1=yw o$H;J#NNCts9%ZxE82*$:QAc5Cg,:,gz~~yhC}#>0 ZLE' ?)G#صDQ0 jfB|!C\@$*ܞkkʮ/ HZXYoV+k+ j|A(a3bZm=h LL.TZ?xt-5JFYP̠I 9'5Sv z;e?$W=F0NjB@HRne&dtFK)1)\l:(Z@9U$5҈R9nb)~_#2 {P:n$vO_dA ZS=T!"dLdYGarP A tp*OJ+s9-AGvGc %!HP1 6 p',Fb/"_"[emgFNM;PҴTv΢jI,ֹi. %ez*=@o`m@h3+w#P%{N;םyTLPͧgd*@,ÃBa;ϼ hV=3L+v.C[9ä Q35!O1Z' io"}%U'G7h46)R9ɰΞt1n+B:i~q T' G/@eV&PZ/V]5«:H>\EjQzG|fz\Haį?߇8a*Q]rK.+(;Ԫ52әʸK}xp~01H,o~!`/ٔ&Ċ+7"BF%nw#^^&ÉidG"l"I4bo̪+g^+JPEiFha;/Bߏ GX[7!R%+yWe 4E8U݌-zIqERA6h*fV GfT8m-TQ@_&@$~:~ J7< n'WJ$mnQSwP{b۟y~30 5O㓪3p=Tz]f`F.ŃO-ۋ#C?p-}M2 `{]ʳҒ2\[Kd.$0$A Or 6ޚUc&Wh4[>kLJIbD.cpV]leː;OISV|WjAk,_o샕 @5{dh]ؘ%~2;srcV8ޤ3\il%K "Cgו3y 'WQD?%"txѸX|"V3m~b wd))^ct׾LQYB G>xhNj?ıkrrHm)&w|6&//gqhLjdp^pCꀑj*W(p #dC?]_fwd񁜒B^5ىloBC\d.˼}>) H3UN@}orjI5t@j0ړe61O wЮI8{|~֔C\$C˱tKPrS2v74x.`H *͸jlЄ,hEMKN̘35+Ǻ@ʌX$fg~弎KlynOn`VyNMM~rqLn  &Pu ?ʦ`R܄CPQ* (IO iޢ}" ^㰠Ds< {R .X%MÏTfFmc&UNJy%+>:BXtWiЊqM-1uÓkF/&>&$Ŵ_m(jؗ!lUD7ϸA82s YM|Ree &%Z6YAg&]o^`WCHnݬWɿþYxֳFi~hXU`W&oؓ1aeۻ1#IKSI :KNb}DdJկC(WH4- l/ױ$պ#eߗŅ m:9wZp[2Uf=)V\KEMb״9'MO0HrL}7"%UYg 1d'͜@6^[Tywa<lE */1G5+XRL #}2ۚ0/T|=ZWr mSMg)ú?x{M*lW 4\B+5{1K)l |>6eQ1;8T2,ѹ|4nYvɖ'V25iPL"[M&|?vIN 7+su+XO~7v+m{3uR\`nF8FIhY?һB 9icWn=[k` 0yzrS pk-I*UsێHC5.ROҜk%n^H4!Vԏϔd5OE\z`7cgwP{J-pvHCbYA롖tv1ܬSݚv tR+8{ӊYn,Ʈtys"#_^ 2/w=]ctc,J\L$DhՒk欔TmR' c=aAi\uh, ؜2RQ[#mo YuFEE< ޅ<@sYs<QsZfQlݩӵM*W7gur|9;aZg'hYgIUE~:8.s nv .R T'cA'X8Jey4A\+eIl_;bbfd50dm|z o4eƫ}̤)[+bm78EJzH<ܛ`S)JaĊy+ǫo5yL^q:. H(Q_ZoKOgTàǎz3WsUGP(Iι%S -D_#4kpZh: p*#%vTM+sz̙uv*ѾװK$EԞ \h0A7Vǁ`46R:mhSJ߶_t 0r<-n/oJ]Y YI&V@pkU_qTJXqtBɒ ,}QVTHDiFP9 ͏crIZ|ſbR"gZljRUd".}mrN:/%9+EhM\R\[CsNxWyD~RiD -s4^#g DF;P?Chi #IGu(7 90I8&R$]/k`R4AnK 3`R5'`zzD-fR;wB_ir%lt{evP"w_/YiY^9p[8rE< o!]t͛i|+ .{ZTj]5NߪNZ7fnſH]`S'1kGׂxxq}Od)-˜m6?٨^0wbN0%3ЏƀՓmfz5w-fGV2snIH c  6z,7[umYG\b<f=`WD!@IŷqqO"p<42ۈ?u )%;~u)*#Ɣ_ޮOt/nR^k>21{#pom=Kr軺!=g0ϸLv~Ri 34W,!nV䐐.l PMbY[3/ڐ2eW$T"s0}Ӗ)MKy#M\4ؑXuu8Wh tڿ@9w+p aTJyhW+uRKMiiWZuhL%4ټzjV?|Csl3 (:YpucQAK##y>Zkqltrh+$bly.u}!{%.FQZB{x΍I>7ة~4 3B-;JtnAq|bQ ֹPJ˭yU =BE?ʙ: 5e x7RdIݵ8\oϒL Wn*p C\9{%8 )@sL72ϸ}2$3`ʥ_:YgY[$B_S#:xDiFzrⴹ~UK>SX Tﮬõ~M S1sKgX 9IƔYYFڊJWsPjl\([wP6bj&Ae"qolWehsI7`控nܐ3u[5&!ҴD_|y]kaXFkN$M'뱺ih2d%;-?kK 2RUAODGl U(/W2!sy-QxzILQn'ٗ2B2;6ߴ5\AdSĴO15JWgYqʿkyOL2!_j8.Urc%ΧCϛvj|>0vW&IOEIv=LjI=Xo<&+?KiAlF$6P $0i5r1i4)osbZ村JKOYQ?TXYu|sP{k,OR.6q*[UXFK1TAᛈs uz&VӜUM۬)Xm ZT _ST`l4.\Ⅽ{8RQIa/\tbZH 1ys2u{w8vV=V \p`8b5ALZǃ0Pc dE )Lk.G/z1o)Hb"Xx 9Hv=RyUXJa $@~-42 6{,\eUX?6 \W[C 1T=dl| z~G |-(7DM;UʗWß~38-͔.F+7s}50C$˻&@]_5sO`;<Ƃ2#",KSݬt[] |*f0}U[N7 WìMsm .%\l3j]) o ǵ*pu|$?ߑ@hq J`@ܞ,>^3Ϙ \DV|S_ =wm>=¹GrZո6N].7$b*c`Py3?OWƎM7h_ ],IKVZJL}66&bT9sǯ=RlCq䃘|S J &>_Mǡ'.Xot`Lҳ%+ V՞e1#V0IVjm-1eUCCadp n{*X[s![f\hfF]FNRIk/ +k5=k1\T:^>6Q/&慒՟++̰˘$pQ^  <7%h+ް۠bM5?OKQ[Մ"=j% @8T ;s4Ȗ ܧ`oݵw JՖl UCjD]QmY]'f <3kϳ4bO40]yiB;T!l̤@&.<{ڴx:8rы|W@Ce kAf:b_ˡ7pah"ٰ#e lv,B9\ۦ:A@&Bgc`vB ,nK!A1 ,2éIlPDYqw)} QWx JŒ)YonթFw|.xգY+6Π!y{3C)fMW'ha~! \>ma|)*SA7q'1mTx#jkfe{wL{0UY J:E0NX׳q3޳H<$eǘ?@Ls?dg+_te\(ҽtr 8F9>v8bWkTheO?Y3H,W緾@f<_(F7!B=wq6cfL'hXu.񔠕yl,PvȻj֙ׄ4 SzPx׫x\0pj檣<3}`6vFq]n]:S[N2?W5t%5tүB<#Y\U&9v)d;Q9.5)h:* *0 fMPEGzзxzޔyh -AQjuHw^3j4Y׈.@){lEHӏ>?amaOL {H9mm9Yԉ18:[9ys"l0M&7oa K* Q,7h*~qz7oY` 'ϫUЋ͙\ߟ(v+yw؀ζxr of&@"XՓ}e+6P/(PxK"@¦RwD0PǤ:ML&WѬ/tBجfOt(B3-*}lz[MV랴 ]ia uO:1K{ūs/WOkYM41ojXZ?+:aOvΆ-1q`.x8z{m.z]6g)֊+4n}U'P'SxbʠV7N/|2buS30G=o$|e4"=2ӇU#MT.jy+dQxtK5e\-Ss HA}aks&ÛDU&dX` W2w(&(k-=XL~%Nʘ\,|BReK&$ M)8-LG.kB /߶no0JSWbVˣS#օl[ˠNɶ |9`fJ!$ R?܁6;2,Hظf4uPtעa]u詃iS++!#0q7S;~/]6T8ϼWK/^m,qJ8}8Db#*gS]m"P>! Hda@ceC:X0]w0Pi%77E-'[ fhŁпNvMaǟ3Q&<8v;xrZ: .|^a:K08֣Qlf\'sknYB{)r?jf @ҭ )Fg{;JgtBK+&>OĻW\!ot㉲f t F~. ZA|͋6-9Q@ƢL `y֛m[hFe?O񸵠km܌WE'^ν$ivJ_*WeR)⟫mk,x8RLffn,쭪( 9I!T Qj,:K:)8 gB<&6N2g>qͼm:6={M<W]?#k&T)E!(汰?@|Z^8IE*_GՇm2ϫRa" ]Xf|,:91P+J *ج@5{60yt3lO6 ;+XΛZ:ԋuYlzK⾛C)w(b- oeC(5#iVxuuw^6 tL#B?8y%VSxeIz!}L5 g2⟡Wњ0vWwmv/oXRŦx~_Y $Җ.5Nck)1ʖ>0#8"8coO/Z܀\h~# Tpj0*Bz(-pBQdGe4xye $ݴ_ew/}B5H8|څM\s.ufpO[Y~M9^~anXLeaJ/5?& KF e&nU"W }%t'z+߿#VCPH&q߀.AJcl=}y$N<'" XO%Dq[f$墑Fc6z{ {yߜrm>9ȝ#z_m,&@4"+XXq1Gۦ>3!N~>Z-$%xKkq Oɨ#Mۗc7E0N lʱ<;rN3ae=BOኍmw8&͒@}~iN.:I daL':|pA(ݶ͸#ߛI} "ݻgBX3126.D ygW*)?ն?<8[S[5Ar6p D}sa⎑2H봛C`Ӵg}s1ނ TXMp:ـ_.>3{q\zyi׸W2S'ʚmGWu?'[W@o'Q('_:j5\ko= $ˤ]@dMdg_E/ ?Qu.F Zu=IKTl\˘0/ULxBS#=ўg?[A_3IO^slaP l!Z2lhMh>:8\7~YT\/%©Нl9`rVVS MQGsFcC60fۏ0907tbg$f| g̋Pk?# dH!8G7>?W&dk˟6*eBlIn4WHbZĕQQ4pU  "ß$;`D7ԝ_w+d֫_ O5+А}zK!& 1; STA)D#ji `Ry&Z9Qqu{rΠ郐9c)zJ9WK 筏HFX*F$I-#ή՟yQ|@ij+8c;EA-$?Xm+Z{T e_Kc=-DW"7. vKؙM"}:jHl5?Q_ǥ6 Y]liΌ1&hHbC<4f6n) NmY9-#Ǎp &8ufm4/BB-qGi%?_sC@=CS|§.wL~G~I"x:nT0gt vRE=XrJ:}%=bjrԬ0h%Ars4}W`a;f.II%C~u$u9/ N_k6P{xT$Ia!eJ1/ /r zrYj&)[ml/+i8P(&K{ekSYTpGbnʂE(W`M:l4ʇ|75=RkNvJm7e]q/ύEgclw# x̕Pk,❇/;<UsyɛJQNbxîOn͊'ӓ{d>;'{ѕ,A^M{ZqɩLlt@!MJ"{(rx}QD+Ğ~W@&5 !8A1,T~{2Z@!;ٯ zؘ!n#N5ԢS.X>_ јthE1鋴&TÆ<L f_ض+؜TܪѭJ.hƼ{p>4Bh.g玩fng=&[As g~xi9rq=B\pF R8P++Cf/Xk1' 6p.u[{ uy3p;*y(n!]B%ɘtL+2GE`\#iK2Y٠ RL._< DcӊOEINZp2N9E!%D8%.$Ԫ-gIm0[d`/ /4أ?ݸ&Ps~/ .$<7ck1yݓ(P& iAԱm8+XԮBQ[L C!RL>3R#ÍEp@ʰ,CQi)H^&T%~8;oj ~CQy&%}Ӿ!lJ>:!_Ax7VymiB:[ [hѹmk-ՠC1C o kD$NDp=[ 9f^5,b&-J#x%8Xw~$՜ )!Òh'.Q~W'ީXG Fצ?Kύ/Y״9|090A#[ۍZ΍⪄?c 2&¢`Roԇ ,84o`F)I}2wx7q_RVE!-0,ͳ[ۼpA-&~U:~sNy-\)<Є9VUd˒F>մUD&avo|2d܊^f;gXK$PY|Lƛ)^s(tqE:c$׍#7wq> ՘5憴?q!rAlD͚9alK2 䢂]pMTŒxYBF:(_7" LW[Oܠ!ė Dɔg/6QSCe/>`G3SV$ 5UQSe<̓WXXV\쯒#KK @;fIU1CL\E,EKB|,qލpv3w&RK(p콍b! S@}:mrJP?brG٭;!_Lp2ItG+|Y)k]dyȏjpj(kJݸoG^r5~؅@7b-caF=e$/]yBRK/[>K-aFOCXi^g\˴V `j}eR6 i0s.T2 =7kqrOۙ۝xE.Mw@hih$-0Q= ,ӏ7#BUN!FF# A3 =GчvP&F66uŒBf/|bP[T'KԆ;LPPZl~f("9ժKWO/x0wcBDw?762+QfKvJBC*9QroYzp{R4&|BOd~$C9G{'k/zvx1*c-o^FIf+iI%3D!?&85YȌ "x¼c &ph澚2d(,7xƮZ_A&$P\`bPFi3;zՏBiTxP£Ii/J$c(G|?Y3}MO$zyvzܰ{su S& lnX/$4>z(B<}(ń[5O72b.(Zz@1 5Lb4x6f\LHIRC}[`` ơo\,ćly$Bc,[4:'&ͰR(d'k[tW],s 9V3 .3SӤ'e[ mhĮ5 XDt꒸9S='_>K9k+mYn!/A+U(Ɓ@@b1Du,nlYUr֎'%GǬ&tyP.~P>ݰ4jF2!y^!Qӑ RWH#ҾB/z^'*](2>ŧFÐ +:̼=A aB H S,;mYh\ve-FU7!.(`ޅ$lԎYiʓ9{n)H29ʻGu`[u!Y?oF.x?2\mA_ SQ&6Tvc #tEd\Z#;,yg5ox襌`N G t&Lfetak(ͤyEngYkp q0__ qB$S4]XG7~K8lEWں@LOTHRXZᳮYqL3mvvf=|xjyL쉾`K03JqAUW/ZW(]OU8g2W{o zB{4Ω9QށqsY8l< ?%US fb2^m~'<:Fw}^$l^YL`|X7?bXYi Ō6$lmWyE(gu&HN}a΃5C͗ܔSJecZ5_ۖ$tRhA)IRL:縶c:mp:QFbɑ;n_fE@d!wyS*՟}> ό}&B']n8N;[V5oQ48Ԑ(eQI滵cv#tN(}J 'Wvƫi39[2j\# eRjY-&i˝)MX[m74"D55j3`/dG >b;Cx1K IV"Wey:E "!%S[' 4"1Zʓ\[VNDfғ܊`ʇٞR-jN4qܧ]AK hb9Xo֙u,=$tWgʼnbqq假]8x 7O-OX=,OlMzmaԃ@^lFD%`dhh #Z}-%d"Ί?A2m^бݞ 0Q ~՘&K@08cߔ&y zyaϟ2gP e{`T&GZ%0dź1X=d[ob,햫~%$⤃>LHVz0a.v%w0wm@w"N1=хL8|OhzuBM8ʄx;ϲK[ؖi%b4Kt^`pk5ةrG{6G AտK7gפ2Ҹ}>Z3fGND :}ǒ4)!ln{\rT|?}6LLhxU$k'"!4wX!7c2$̽JGODI,MЧ]QD Cvddx H [ w']y;ڦ7ZF[Yr@ӯ`AT=N`%*bGntK{iȂLaIYQ`ɧj,2k] FW-lG*0Wlq/uM)EӘL G"."„K/\T;Z\.o#{Jo=l&+r!fn2;< xfYNy[b˃´頦+A\>iަb: BǸ7o-J|C^Lxb[΀*]HڈܶldJQ\6 3REN $@MG@$ow;uL˰ 苢W"u h((dU`J*몛>(ږzējn/tRw1|7Ơ "Apo=BTVD4G{MF)Pt9c#'.A{U9ϵtMbX?oٚnqSG6+cHVSЁ0m!%]AkN0nl$v12{1;mz4m#lCQ ށN#q@cbxŖ0rHmy b^J M70r2C _+._`g7 Lۺ,QG6p8;%wTɰ +:x:%!^zv2i([EyB|9$(nNdY)=bO["ݕB.Y (6ٯWm$Kx|iO%p( z\vg;[#nRnrbK1^Wݱ A(!sMQ^u8|+Aw_%@a2¬S/ܲעvG i &F,LAYZ/>?'|;&l&DRoT!}i@~$2\r ;uB3ґ>޿{o'\M''2|yt"Aw%iȨ\r3J9^g?n4k*"bzU,$wTkDZFɳp[S9 i>hfbXX d$BGϬfOet'2X iRF:e3rڹTJ;Bz~r?7/+jl^8lq#(@Kד_dȿ}'ꏁu:t@瞲<Ψ8YRi.g`Wõ8j "-r@- bKP,M@O.pAZFz=oG~ʤʄ U8y{\уO60\f տL?-z0>\aC/Aʢ!>[ɣ1#J=tkB?*_l腃F!w^ow75qnq tcA䥍jXHҒ/{ոYX34RPzY괹\{S "AaT6Mb bC_ͷV^vg*&}XFS! #Q(o޿Po'sq)u7[,//IlBvHD; ._Jq`OkABYM{3 K`b[m՗Ŕkw;5{74ean3J AcX@m[f+'WZĞ$|:/0Aۦ GA D0"!d[@ẃKXV/^m!n3kTF|E>sb(џru{F.!-vp9cƽӂ2`$WD#gU y`?\52?M2Nq$Urg!ˀ vhj|XZ0SÒD_eA Ֆ}MY- `jT4x(",$;X60k(kEwkf)wZi+1AI#i<+Q3$zcYܾM+\$kRw_|[ݔNAD"J{ '` 6>;FM"-`-ĉ)PI Tv~}7H,ze2tt XQT|~tͶw:|]XLfofcd^\fEO1SxDN[IjyC<1j̦OHF%VD_3hŞa@e ͛2h1M1p"f.׈p>(wɆZ`9IM82Is;V‹g <^Tv5eLoΫJ өL!x G3dW}co#u";E>DAL,,+ =dt@v%mGrbu8p>!n2m'pia#yS qa.{*\6YŠ:_nY4J=(;%]+ 9݇Hԟ&uS'p\uH;>@ws"\|TRZ{c|gN%@Clh;F̵ PP5h~s6Ger4H_QuI^! AAֲӞ3lPZ )h%ުW 2~`}&ƏBҗP.,ktIN}=Yk$BtX|YRuH,Qcd6`H]u3ذy)\Kks^?`uyfբ煤E/@/=5B7Z )¿ 9^;nY { Ջ&hwǑ#H9E{24I鹛T3C#>BK׵)3S# D Oo/+Hc_0S{a;I'pReqn4'a'.fI rtRm[E@2NpHTp[&B΄ qW%4ōL3 -_"B!-ڕen f;>hޚױsZVEˆqOXcZrcN0fkСԜ,Em05exLkq(Rph 49l V"EovQGBZ0ԓCgӣgZϪOwO7>T\nO1Ζi bz*oRpt#x-Q> IO.AdZrJ<%*i쪴1rؓ8WIh#P Gm'fpE]`) W q:J?G[N}¥>P"*xم#`#chQa<5!]i,ƿM5RGXc) CP=h|r)P!StGÄ "2Zx6nU*oxXMhx@`%~T -Ě3~I_}ŁYa,#;ٸtpRi8mHJTN2x"#X`vDxl#-Qehu qy u&|/C#훮yGoxD{Ŀ<"jdY@Yl~0ZK¼AEn\q `O!j亣BaeNq›Yn~@xsz;0*f9^ oRh`[HpªqF=j CqyES`x Em@Y#S{HKbO{ތO7=dExSny &6u,C\kPxdGnX-v۠VC hWT4'>х PGgVť.` *WI~y0v|^ -KH &>` ͢}Jeq)6Nᾑ/RWJCX6sV.Bz!)%-պ,V?IZGE۷tLVu,`I~^)J Ǿ y"90c ]$e<c:zɲA: y1B>o=nh!|FgX1睘qnڐJ1M09(FgJ5h6#Yv Zw}[O<AMX;rݝʯL ]RĆ=NZ-kH}DSQiܵq{jo鸇*#d6i@ki,lQ0 4Mɹ08frWEo |*sl1NBB-[byo<Ѐױn;?Fq!͟ ġe2 .T3\iPGfz0X/0g[>̀>Ĩ "+)TD&u,ɹyi&8?5r q-6&(y\A =Q%nP@2V֯k:9ūfT5ύ5(T7i;ޗ,r M-oᇌaO#<Ð+WaE$g>!cQ!LGDCMs5{b6-4>;Yl`pGYhN  1YF1K~ƕǼdt >fҢj),YCdNǑ)+<4&›V.NѨvl#ij: .#j\ᑄ"GӌzbkU'>m7VZ]A ֣#dCcJI~)h.̱(o%BFӳ=imX*(DGH&s/lC@؅+b .!ݪƪi;5 ®?S=& { ; s~vouHV]r}ri ` (|Zު|k1^ p=ظG7W=ͦNqTj+ <x˸C`o~bwA>@#@ oS7FJ~bex#4wppU =D+[\c<%ڪ*c=ܪ$d6Y5M݋Uۥv ư/u\:p]|N.cˢL;Lv q~| T(/d)ɜvjgdGynZO(H~%:u .G X'x]\[V>V,N#,Tb"ނiw~ZE{1rЫ[Vv񮡡*=זL!%au6ڍJ޷OרN`Zz>B-6`zj][1 ]w&53}OkA"GׂW>(6#^$nN"ʇs{p em<>6m> -fk8#J!ɬӌ^-O("(6ݦ-?!, WV6󙲗5$e"h\x.G*S})TWu݂5nAJGfkl/+0 LA5¥i0Ep^Y)H ˷9eCZ6*=[z٠_7ޥ 3=$I&ؽh^8ʊI$>Mtc&DCp ߻1MW݅h#.gC%yH'cJ)0*PTJOո?VjyBP[^0F) =WxZW]p) :Xc<]nQ&~0}F>dN+vVĂ^n 9aCn4xK&`s3Yq32W/HI$Oc!#Q֡\1K)V|nl<I"_~zҎ°26~@'09 hJD<&Fh2nd.l1_Uv:Og6\B^ӪKu_I2{2P[J,`#wreO!H>F.] r]zLWɌk|'RbB-rd@ٝ""-Nk/Pnաk@wtk P}o Q{+]tefnTS[LHcz #Kb`@kxXTD5cGL ~ pgv= vBl&5A_9}AŸD[Qv S&Roy['-s]O U4& ؆F1ZzLGxyǯ>1ْ÷Tf2 덋Pyg2_>kSր?uBV'qü|Z0uFY(h{ ΅ōŻcVplrI{g4/4\_^,Y+Yx;j0nLAjQW%i´HɎ_-My]H./H2a 7JA uM'j!=)ˆ,47ΰwBvauL[M2-C3:'\qY9-3ln.]8?vۏ4;Zc y{B\v7?p]1&*(Y w N3\9yVi\No4Ww]>NϜZX&Q,Yq4|&ח>JWz(X$5Yhpv&P2$U]]Hah( tXȡ6\iTW36! ~zY#2D^˺Ta]G̝kv)_gʪңxe\K./V{_%GAcU2 &,Ӥ/VǮI;#MOټ"3$Z7=Oem,StkNNp>"5Z<\~ '*PYGi8f2Jӱw~ s~tT<KZv mzG::>|Ւ]k ?|8ko0mx&U;` y+>˕xdKש8TNCz"5]+={!M$" f/ @>itC8x<)7I? 9ܯWýLӨ>-kE;qzrQRA[vH2V0{sTA/nM(-3&)RS !PN(u{KE2ЄцһG/n/ߺ8aCQr.=)k(ؼ+}>|Sدœ  j7Cm+a%TYڔW`"|)2x o5{7t~0.)/1UÀՋ`Z챳H<ٙ2 ob<&3+J^>FWU,Xkg.۞\G';Hm1 g(F_G~JNn۳JeYU\#1u(&YnTf\K6U0`9_zd2~j[nոay橗|IɏMҧ./3ك2b\ W_^v8>!CWDnv6_*mWˈ;fȦeX^<-lFvHXܰmwsWĬV{LG -DHҎ bM a-B.|Z7N ) yUK.`yٕEd8rTߑP?dL 5*54GuP/QO(#pF,w Pȕ˕,F;vnlSZ&[׷HSp )sIpl|u*X5e٥߼hR76xL\x1?v|TRz[6^p<8`t,e s^Uvޫqr/OJx0Ģ=]vN~̱bhBcR& hgCvD,厄%53^R܅s 2^h+QBf'wsnfNR@VtuGQ_3j{2?E )yY"|=1ทۦTƀFYm W:{Km3ϼ6"NiϤrfU,bkhnVa7f[[& eMkA')tl-~l~0weDu=- AglA̼+nH0.!nw|+~$Ql#?J%Qlppp12s)E}Iݡzܷ7#[@@+ WqĀf:̙\u8!'װD_C1"߬EaᎻ_Bm=/DGG^NKA'hHM ^dvbVmLeN ;ԂpIAuT$8T^FpR -]G ^R:U૒dp -uDq6(/*Ăo|໨OB$,7 ϟl͋}}Lu7C{Rz{h%RqDZ}Ue<(7lُ!e9?mL઩ߎS2dЇsNC/87BubGٗ+%V0h =Gk1r'% axYynO^yǞ] W}9eEU Gj960V9#EMYAÌm~mEhM)"(T= co$#:@[QC@8f];b%!$j c5_!v-fe!YQE2Ƹݛ~[aМ˚@~}7 PN?-1`A+P;?0|S[sCj-wrWȹ륃1DyO }1ذhE66?ƘaVs3>ko w IP_Y >6K,C3͔>#'(zFۼbv') Q%Gg=u<^Q0?IrބxFy14#]jwE<6x,2>2޴ Grgb+m-}7NouԖTDT!H|<끁L R$6˭3{j}<`ѐN2+}@)9hn /eW>Ԥ>=cApTSf7ox`Z*$+i&Ǫޱu4Qg^I߇ Ɨ0ҺqT\O(^^Y$l?;e gh}5WMDUTy\' s 8p}x,oMڒHvSK 2vMc\,Q!f@^#Tq4vw@kK.ѷ?' I#yTEwU4$DHD#mUh-`m4LF4Y LY!> RUC;1ٖ]cCʙ @Xk\\Sd]* Cjjˁʻx6c!o}D@~͐FdR'!ϱ8͓v9@ XHxzL.yل `yf-|*l&Ѣ&+* s aw!)ʏvo~;Nd ꜀27*)0$D YT4)1Iṫ=e* ү&R0N;c $WMER;'ҢhB?χ !\- 0Xs0sgZh/Bs'fٓcqF`x|6+iވ[̇v]5>Wu(!+H$]j>=Ҍ_3.ƌ&P`op-) ;UpsgBLS5脨܄+g=jQ(I v`0`h /DR/F8z3Y +JbosDQnwMTJF%!$iƤPqfI]egjNfr5TU|#9@\`V:< yv˙nC]9|Ӥƀn8lѳg9d@K@^3M-9~NX*׶k]>gE;,>bԬZESo9U?#l_V]X!.$Av?V!F0pX*lWE&Zx: S_8ؠ73L!I1vN`\ʻAx?LݯCMk@Ph}͜ѯ!6HY%ȅ[}al' ij, NWX8&w1h>V^$2qd}FD,M0Tl\Zx[/Еyfi',T2]؂uZc깊oAQdֳl]hd"dm4Wf)u,b09[vmg~$"T'Yr?onc)v=E\7p88ӥR 8Db/$cDEYeFXߙ'7b= ,`9s Q/z g$< 7/@2hsNe늛 ^m-B=5.dWvGnxc%(\5E upS&u}j +ΩbP|gpC?/5U\}`|әXe5S!}}aW\3g^p;'ݾɕ9ᮮ0uG4o/&(~Y~rN eV,m}A5t$ !d!W5o4#MG m+NZ~Gh:riEUحgL])=N~]w2Ss`$$Mp,{i⁰ʎv f 5}Ǵɉ.x( %suK/JMD!s_$~v!?M+M:!0? /GlK`SJL$ыRʨ4ujT5͖\:Ho\7BbniD_6a%ApDXjSH28I-$"+O"Z{8Jl͐gC˳VA70ӘXg&8.`b}ٸzW׷ABT[p|PD˙zA!}Gy~ HP@2fYBx΅p Ŕ~"Ey4' r Wݬue \ -ܜ42cZkN3="T2. 𐃎G.Is9\3D9#k\OkQ8]8qOy:+ȜUCQ8~^]đXrGXHo q%KcĪQ|*dsPі$@z U>m]]7`8w,R^Q#w6P(I0=-.ì_Pa19JDfSYD!$9L/܁KzCOcνJ[$q ޯͿ@ie"}W̒ nR=/CkK+ƀ(@~F`~;\5{"98Kq1Ѹs^m)w'a!0l\G 3kc#(C/#8xmtU%6 5<#:F)Ը8b\n[71kL)Fv 'woչq #Ʒ(FVL d|* qp Wc^*$cYX{҇ݴm_Zȟ`HYou 2EbWϘ_Q@?dsa1*[$:=]:0PP2DE-[01xBM:<" `߾4`;^>BqJG;zBj;R"'Tdǻ |8V8HVt vaRzbV?蹅*(F高{QN?kۀ@e ^1F#!`D \(Al$u oa*!87=)[4~":e篨l!N1Be: J[}L uB7P{31>aϚ @vHzYЛ (` D/|xj-CЕl˫jLvp?C*SLţ'fR0Z$ uxoótZN9.%3!"Tboy(w7#K;ezz:ieGTݑD)v{(Y33BT%YJX/X*mw^vh{1Fble\eJ!$/rl+[sILd "멥,r_Q8 zNY~M q.M/34M ֻ7nh>zWz8݇Z•Zơh WQH%7dޭ@`t|N[i]bjC~J<~yKr2| F!Ѳ*k%4. W ,C TemO<f;,=3ûڂXbg9%:nSmY蹔cvjOӁH1-8Q{?% ;hCMn,.!\]Zz(T?V*̶*4X1l Wd3.ӯYa|;*U)dw3pU} ;xcjο>fCR KJ@>p_ixyvUGXϨbw{|40h(cg]wSF8o6e2l?ZӼYLH3JȤgˠ6n${k.nvV&|IQc#*S~%߸E& >|w»9qذ™5tIzl bk CQk ]X AjB;cMy4.@%?j8x?j g})+r59 < !>A{xAdN]P9 try:P) hA4Lml5 QA.4|N *mTYOG‼xCXT"Tfׂ1Ň&gE]C7#~czٓ( YFk#̜j:礹|走58{D q[Y,waQ2an۵*C䖀dQ/z@tfup#kHͰc]^e0q+; -X'uM<`d [ؿ$עY|!((8nE̛le褵Wݵߓyhw9<:6gj~ Wv\( RzRN`vaAj)QŹ&tc$ *nu9`Y8Հ 9E<W+ݿ~#,a9oQѐu|B36[ MJ\KIG8|! YiQa}!o.AvF- Aη>3ewEwX +80XbJJ&\ń)[lv^#i8 N T)J6>`HCq-ȡ:h$}f9IA)5&$R1֓;wxGԠ^!7w|ш.cNDҨ:؝ys-eؽ~>z>vVѺ[%.(EYmFPDOSʲ1nYۜu.Lۊ.[yy{!@8aCl+eNiTU ;W<`O$= |&sύT0Yh+s, #ޓ潇#9Y08n[B3C=e P_dq43VLvM>Y8} 8w,rтd̗84t tEG.xۦ>)ָHXVąi$ YZ