libiomp5-gnu-openmpi2-hpc-debuginfo-2.6.0-bp153.2.3.1 4>$  Apbe!M@eee]4LU?BŚF~cM;h))s[&}9|.=` 1 BՉ\i<1$k7 NVGpHd%x(Vtܫ`;|a: HHv )?3iL}#-3Ѣ$$p<21^>p@a?a$* 6 n,08<U^  P l    b 0(^8hK9K:KFZGZH[I[@X[PY[\\[][^\ b^@c^d_e_f_l_u_v_w`x`yazaa,a0aga|aaalibiomp5-gnu-openmpi2-hpc-debuginfo2.6.0bp153.2.3.1Debug information for package libiomp5-gnu-openmpi2-hpcThis package provides debug information for package libiomp5-gnu-openmpi2-hpc. Debug information is useful when developing applications that use this package or when debugging this package.bϹgoat03SUSE Linux Enterprise 15openSUSEApache-2.0 AND BSD-2-Clause AND BSD-3-Clause AND FSFUL AND MIT AND MPL-2.0 AND OpenSSL AND Python-2.0http://bugs.opensuse.orgDevelopment/Debughttps://www.tensorflow.org/linuxx86_64LyAAAAAAAAAAA큤b϶bϹbϹbϹbϹbχbχbχbχbχbχbχbώbώed8029a4275a970732379f2fe38c38463446cfee7bf74fef33a7ebc2c1b77577../../../../../usr/lib/hpc/gnu7/openmpi2/tensorflow2/2.6.0/lib64/libiomp5.so../../../../../usr/lib/debug/usr/lib/hpc/gnu7/openmpi2/tensorflow2/2.6.0/lib64/libiomp5.so-2.6.0-bp153.2.3.1.x86_64.debugrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootrootroottensorflow2_2_6_0-gnu-openmpi2-hpc-2.6.0-bp153.2.3.1.src.rpmdebuginfo(build-id)libiomp5-gnu-openmpi2-hpc-debuginfolibiomp5-gnu-openmpi2-hpc-debuginfo(x86-64)    rpmlib(CompressedFileNames)rpmlib(FileDigests)rpmlib(PayloadFilesHavePrefix)rpmlib(PayloadIsXz)tensorflow2_2_6_0-gnu-openmpi2-hpc-debuginfo(x86-64)3.0.4-14.6.0-14.0-15.2-12.6.0-bp153.2.3.14.14.3a/k@aG``v@`lM@`.V`U`_=_I@_@_"__q@__[@_Z@_X_Wr@_P_>e_>e^^^@^˳@^k@^}^|@^y@^t@^ku^f/^`^Y^Nt^F^E:@^B@^:@^6^4^2@^2@^0"@^0"@^0"@^*@^)]]V]]]>]/ ]#0@\]@\t@\@\@\\\\\@\b@\ac\R@\A\8@[@[=@[%@[u[ZN@Egbert Eich Fusion Future Guillaume GARDET Ferdinand Thiessen Ben Greiner Guillaume GARDET Guillaume GARDET Guillaume GARDET Dirk Müller Guillaume GARDET Guillaume GARDET Christian Goll Christian Goll Christian Goll Christian Goll Christian Goll Christian Goll Christian Goll Guillaume GARDET Guillaume GARDET Martin Liška Christian Goll Christian Goll Christian Goll Christian Goll Christian Goll Guillaume GARDET Christian Goll Bernhard Wiedemann Guillaume GARDET Christian Goll Guillaume GARDET Christian Goll Guillaume GARDET Guillaume GARDET Christian Goll Guillaume GARDET Guillaume GARDET Christian Goll Guillaume GARDET Guillaume GARDET Christian Goll Guillaume GARDET Christian Goll Guillaume GARDET Guillaume GARDET Guillaume GARDET Christian Goll Christian Goll Christian Goll Christian Goll guillaume.gardet@opensuse.orgChristian Goll Christian Goll Christian Goll Guillaume GARDET Guillaume GARDET Guillaume GARDET Guillaume GARDET Christian Goll Guillaume GARDET Guillaume GARDET Christian Goll Adrian Schröter cgoll@suse.comChristian Goll Bernhard Wiedemann Guillaume GARDET Guillaume GARDET Todd R Todd R cgoll@suse.comJan Engelhardt cgoll@suse.comcgoll@suse.com- Limit BuildRequires for bazel-skylib-source to versions >= 1.0.3.- Update to 2.6.0 Major changes are: * Keras been split into a separate PIP package (keras), and its code has been moved to the GitHub repositorykeras-team/keras. The API endpoints for tf.keras stay unchanged, but are now backed by the keras PIP package. The existing code in tensorflow/python/keras is a staled copy and will be removed in future release (2.7). Please remove any imports to tensorflow.python.keras and replace them with public tf.keras API instead. * tf.train.experimental.enable_mixed_precision_graph_rewrite is removed, as the API only works in graph mode and is not customizable. The function is still accessible under tf.compat.v1.mixed_precision.enable_mixed_precision_graph_rewrite, but it is recommended to use the Keras mixed precision API instead. * tf.lite: Remove experimental.nn.dynamic_rnn, experimental.nn.TfLiteRNNCell and experimental.nn.TfLiteLSTMCell since they're no longer supported. It's recommended to just use keras lstm instead. * tf.keras: The methods Model.to_yaml() and keras.models.model_from_yaml have been replaced to raise a RuntimeError as they can be abused to cause arbitrary code execution. It is recommended to use JSON serialization instead of YAML, or, a better alternative, serialize to H5. - Major changes from 2.5.x: * Support for Python3.9 has been added. * The TF_CPP_MIN_VLOG_LEVEL environment variable has been renamed to to TF_CPP_MAX_VLOG_LEVEL which correctly describes its effect. - Fixed multiple CVEs (boo#1189423): * CVE-2021-37635 * CVE-2021-37636 * CVE-2021-37637 * CVE-2021-37638 * CVE-2021-37639 * CVE-2021-37640 * CVE-2021-37642 * CVE-2021-37641 * CVE-2021-37644 * CVE-2021-37643 * CVE-2021-37645 * CVE-2021-37646 * CVE-2021-37647 * CVE-2021-37648 * CVE-2021-37649 * CVE-2021-37650 * CVE-2021-37651 * CVE-2021-37652 * CVE-2021-37653 * CVE-2021-37654 * CVE-2021-37655 * CVE-2021-37656 * CVE-2021-37657 * CVE-2021-37658 * CVE-2021-37659 * CVE-2021-37660 * CVE-2021-37661 * CVE-2021-37662 * CVE-2021-37664 * CVE-2021-37663 * CVE-2021-37665 * CVE-2021-37666 * CVE-2021-37667 * CVE-2021-37668 * CVE-2021-37669 * CVE-2021-37670 * CVE-2021-37671 * CVE-2021-37672 * CVE-2021-37673 * CVE-2021-37674 * CVE-2021-37676 * CVE-2021-37675 * CVE-2021-37677 * CVE-2021-37678 * CVE-2021-37679 * CVE-2021-37680 * CVE-2021-37681 * CVE-2021-37682 * CVE-2021-37683 * CVE-2021-37684 * CVE-2021-37686 * CVE-2021-37685 * CVE-2021-37687 * CVE-2021-37688 * CVE-2021-37689 * CVE-2021-37691 * CVE-2021-37692 * CVE-2021-37690 - Updated sources: * abseil-cpp.tar.gz * cpuinfo.zip * dill-0.3.2.zip * eigen.tar.gz * google-cloud-cpp.tar.gz * libxsmm_1.14.tar.gz * llvm.tar.gz * oneDNN.tar.gz * rules_cc.tar.gz * rules_closure.tar.gz * rules_docker-0.18.0.tar.gz * ruy.zip * tblib-1.7.0.tar.gz - Added sources: * ComputeLibrary.tar.gz * oneDNN-v2.3-rc2.tar.gz * platforms-0.0.2.tar.gz * rules_proto.tar.gz * tf_runtime.tar.gz * tf_toolchains.tar.gz - Removed sources: * kafka-v0.11.5.tar.gz - Add "tensorflow-2.6.0" prefix to existing patches to indicate that patches are likely to be only applicable to a specific version. * fix-lite.patch -> tensorflow-2.6.0-fix-lite.patch * numpy-tensor-small.patch -> tensorflow-2.6.0-numpy-tensor-small.patch * removed-clog-build-as-included-in-cpuinfo.patch -> tensorflow-2.6.0-removed-clog-build-as-included-in-cpuinfo.patch * removed-external-toolchains.patch -> tensorflow-2.6.0-removed-external-toolchains.patch * remove-weakref.patch -> tensorflow-2.6.0-remove-weakref.patch * tf-keras-hdf5-3.patch -> tensorflow-2.6.0-tf-keras-hdf5-3.patch - Rebase all existing patches. - Add tensorflow-2.6.0-compile-with-protobuf-3.16.patch to fix build error with protobuf >= 3.16.0. (boo#1186860) (https://github.com/protocolbuffers/protobuf/pull/8354) - Update bazel version requirement to 3.7.2. - Drop pcre-devel build requirement as it is not used anymore. - Drop --incompatible_no_support_tools_in_action_inputs=false as it is removed in bazel >= 3.6.- Update _constraints to use host with 'asimdrdm' cpu flag to avoid slow CPU and be scheduled on faster systems- Update to version 2.4.1 * Bugfixes * Drops requirement of AVX2- Don't BuildRequire keras_applications. Tensorflow provides it itself: https://github.com/tensorflow/tensorflow/commit/23c3bdaa - These were discovered by Keras test suite: * add numpy-tensor-small.patch for Numpy >= 1.20 gh#tensorflow/tensorflow#47691 * add tf-keras-hdf5-3.patch for hdf5 >= 3.0 gh#tensorflow/tensorflow#44467- Generate and install pkgconfig files for tensorflow-lite and tensorflow (non-hpc)- Do not install bazel tools to build Lite version. This will allow to build for armv7 where bazel 3.x is not available - boo#1178564- Fix packaging for libiomp5- build verbose to not fail on the obs stall detection- libiomp5 is x86_64 only- Fix build on aarch64 and on hpc variants- Updated to version 2.4.0 which fixes several bugs (bsc#1173128) (bsc#1173314)i, (bsc#1179455) and (bsc#1178287) - Security fixes for CVE-2020-26266, CVE-2020-26267, CVE-2020-26268, CVE-2020-26270 and CVE-2020-26271 - updated sources: * abseil-cpp.tar.gz * eigen.tar.gz * gemmlowp.zip * googleapis.zip * llvm.tar.gz - added sources: * DouraFFT.tar.gz * cpuinfo.zip * dill-0.3.1.1.tar.gz (aarch64 only) * dlpack.tar.gz * oneDNN.tar.gz * openmp-10.0.1.src.tar.xz * python-license-astunparse * re2.tar.gz * rules_android.zip * rules_cc.tar.gz * rules_docker-0.15.0.tar.gz * ruy.zip * sobol_data.tar.gz * tblib-1.3.2.tar.gz (aarch64 only) * typing_extensions-3.7.4.2.tar.gz (aarch64 only) - removed sources: * boring_ssl.tar.gz * cub_1.8.0.zip * mkl-v0.21.2.tar.gz * pybind11-v2.3.0.tar.gz * right-json-location.patch * rules_docker.tar.gz - removed patches: * Provide-overload-to-cope-with-const-ness-change-of-N.patch * fix-google-absl-memory.patch * json-feature-name.patch * libjpeg_turbo-name.patch * removed-docker-tools.patch - added patches: * removed-clog-build-as-included-in-cpuinfo.patch * removed-external-toolchains.patch - Major changes are: * tf.distribute introduces experimental support for asynchronous training of models via the tf.distribute.experimental.ParameterServerStrategy API. * MultiWorkerMirroredStrategy is now a stable API and is no longer considered experimental. * Introduces experimental support for a new module named tf.experimental.numpy which is a NumPy-compatible API for writing TF programs. * A major refactoring of the internals of the Keras Functional API has been completed, that should improve the reliability, stability, and performance of constructing Functional models. * Keras mixed precision API tf.keras.mixed_precision is no longer experimental and allows the use of 16-bit floating point formats during training, improving performance by up to 3x on GPUs and 60% on TPUs. * TensorFlow Profiler now supports profiling MultiWorkerMirroredStrategy and tracing multiple workers using the sampling mode API.- fixed hpc flavor and Leap15.2 builds- updated to 2.1.2 with following fixes (bsc#1177022): * Fixes an undefined behavior causing a segfault in tf.raw_ops.Switch (CVE-2020-15190) * Fixes three vulnerabilities in conversion to DLPack format (CVE-2020-15191, CVE-2020-15192, CVE-2020-15193) * Fixes two vulnerabilities in SparseFillEmptyRowsGrad (CVE-2020-15194, CVE-2020-15195) * Fixes an integer truncation vulnerability in code using the work sharder API (CVE-2020-15202) * Fixes a format string vulnerability in tf.strings.as_string (CVE-2020-15203) * Fixes segfault raised by calling session-only ops in eager mode (CVE-2020-15204) * Fixes data leak and potential ASLR violation from tf.raw_ops.StringNGrams (CVE-2020-15205) * Fixes segfaults caused by incomplete SavedModel validation (CVE-2020-15206) * Fixes a data corruption due to a bug in negative indexing support in TFLite (CVE-2020-15207) * Fixes a data corruption due to dimension mismatch in TFLite (CVE-2020-15208) * Fixes several vulnerabilities in TFLite saved model format (CVE-2020-15209, CVE-2020-15210, CVE-2020-15211) - using fft2d.tgz instead of fft.tar.gz - removed fft.tar.gz- fixed json-feature-name.patch for leap15.2 builds- updated disk constraints, as sometimes the build fails with too low disk space- Package C-headers for standard tensorflow (boo#1175789) - fixed build gcc10.1 errors for Tumbleweed with following upstream patch: * added file Provide-overload-to-cope-with-const-ness-change-of-N.patch- Package header files for Tensoflow2 Lite - boo#1175099- Revert memoryperjob constraint support and use again %limit_build macro to avoid OOM errors- Lower memoryperjob to 1300 MB (as done for tensorflow)- Use memoryperjob constraint instead of %limit_build macro.- fixed build with json_cpp 1.9.3 (bsc#1173314)- fixed local CUDA builds- updated to 2.1.1 which is a bug fix release mostly for external sources which are not part of this package (sqlite,libjpeg-turbo, Apache Spark) * Fixes a versioning bug which causes Keras layers from TF 1.x to be used instead of those from TF 2.x- fixed broken builds which were caused due to missing dependency on @com_google_absl//absl/strings in various BUILD files - added patch: fix-google-absl-memory.patch- added mkl-ddn as source and do not use system mkl-dnn (bsc#1168839) - removed patches: * fixed-mkl-sgemm-call.patch * added-mkl_dnn-as-syslib.patch - added source: mkl-v0.21.2.tar.gz- tensorflow2-lite-devel does not requires libtensorflow*- removed hpc-mvapich2 build (bsc#1167735)- Use pip install --no-compile (boo#1094323)- Lite flavor should not provide python3-tensorflow nor tensorflow- removed sources of bazel sources and replaced them by internal packages * rules-cc.zip removed * bazel-toolchains.tar.gz removed * bazel-skylib.0.8.0.tar.gz removed- Lite flavor should not provide "tensorflow", otherwise tensorlfow2-devel and tensorlfow2-lite-devel conflict and break armnn- added Provides: tensorflow, so that Kerase works with this package and fixed Leap 15.2 build- Fix name for libtensorflow* sub-packages- openSUSE has no CUDA package, so disable cuda build for openSUSE- addding changes for CUDA builds- Add 'Provides' only for hpc flavors, otherwise it matches the package name- Add provides/conflicts to avoid to install tensorflow and tensorflow2 as some files are provided by both packages- removed mkl-dnn as sourc and force usage of system mkl-dnn for x86_64 builds * removed file mkl-dnn-v021.2.tar.gz * added patch: added-mkl_dnn-as-syslib.patch * added patch: fixed-mkl-sgemm-call.patch- Add 1.25.0 as minimal version for grpc-devel- Add 3.1.5 as a minimal version for double-conversion-devel (2.0.1 from SLE15SP2/Leap15.2 is too old) - Lower required version for protobuf (3.9.1 from SLE15SP2/Leap15.2 is fine)- removed AVX2 flavor, this should be fixed via mkl-dnn- Fix build on hpc targets- added shared library packages libtensorflow2, libtensorflow_cc2 and libtensorflow_framework2 - removed the AWS sdk support as this forces a SEGFAULT * remobed file aws-sdk-cpp-1.5.8.tar.gz - dropped following source files as they are not needed any more * removed file backports.weakref-1.0rc1.tar.gz * removed file gettid.patch * removed file grpc-v1.24.2.gz * removed file libjpeg-turbo-2.0.0.tar.gz * removed file nsync_1.20.0.tar.gz- Do not try to install *.pb.* files in Lite flavor- Define package name at 'tensorflow2' instead of 'tensorflow'- Generate *.pb.* files and package them, to be used by ArmNN - Do not build on %ix86 - Do not build %arm, except for Lite flavor- updated to tensorflow 2.1.0 which is a stable release and has following breaking changes: * Deletes Operation.traceback_with_start_lines for which we know of no usages. * Removed id from tf.Tensor.__repr__() as id is not useful other than internal debugging. * Some tf.assert_* methods now raise assertions at operation creation time if the input tensors' values are known at that time, not during the session.run(). This only changes behavior when the graph execution would have resulted in an error. When this happens, a noop is returned and the input tensors are marked non-feedable. In other words, if they are used as keys in feed_dict argument to session.run(), an error will be raised. Also, because some assert ops don't make it into the graph, the graph structure changes. A different graph can result in different per-op random seeds when they are not given explicitly (most often). * The following APIs are not longer experimental: tf.config.list_logical_devices, tf.config.list_physical_devices, tf.config.get_visible_devices, tf.config.set_visible_devices, tf.config.get_logical_device_configuration, tf.config.set_logical_device_configuration. * tf.config.experimentalVirtualDeviceConfiguration has been renamed to tf.config.LogicalDeviceConfiguration. * tf.config.experimental_list_devices has been removed, please use tf.config.list_logical_devices. - renamed the project to tensorflow2 so that the original tensorflow v1 API compatible release can stay in factory. Following changes were made to achive this: * added tensorflow-v2.1.0.tar.gz * added tensforflow2.spec * added tensforflow2.changes * removed tensorflow-v1.13.2.tar.gz * removed tensorflow.spec * removed tensorflow.chnages - following source files had to be updated * updated abseil-cpp.tar.gz * updated bazel-toolchains.tar.gz * updated eigen.tar.gz * updated gemmlowp.zip * updated license.rst.txt * updated rules_closure.tar.gz - following new souces had to be updated * added aws-sdk-cpp-1.5.8.tar.gz * added bazel-skylib.0.8.0.tar.gz * added fft2d.tgz * added rules_cc.zip - for the following souces the system libraries are now ues * removed aws-sdk-cpp-1.3.15.tar.gz * removed double_conversion.zip * removed file unicode-org-icu.tar.gz * removed file 816a4ae622e964763ca0862d9dbd19324a1eaf45.tar.gz - these patches were removed * removed file support-new-bazel.patch * removed file tensorflow-make_aws_sdk_work_on_aarch64.patch * removed file tensorflow-fix_lite.patch * removed file remove-keras.patch * removed file grpc-namespace-corrections.patch - these new patches were added * added fix-lite.patch * added removed-docker-tools.patch * added right-json-location.patch- updated to tensorflow 0.13.2 - dropped grpc.tar.gz and grpc-v1.13.0.gz as system grpc is used, this fixes the broken builds which were introduced with gcc9 (bsc#1152671) * added grpc-namespace-corrections.patch in order to use system grpc - dropped re2-2018-10-01.tar.gz as system re2 is used now- added remove-keras.patch which removes keras sources and uses distribution keras libaries * removed keras-applications-1.0.6.tar.gz * removed keras-preprocessing-1.0.9.tar.gz- using now system protobuf instead of building it (bsc#1151150)- Ajust %limit_build to avoid OOM errors - Do not use %limit_build for lite flavor- added additonal dependencies- fixed installation location of shared library- removed bazel mirror from as much source links as possible - added support-new-bazel.patch support newer upcoming bazel versions- Fix build for lite flavor: * tensorflow-fix_lite.patch- Call ldconfig for devel package in post/postun- Fix aarch64 build with upstream patch: * tensorflow-make_aws_sdk_work_on_aarch64.patch- Add Lite flavor- updated to 1.13.1 fixes boo#1133490- Update _constraints to avoid OOM errors- Build and package libtensorflow_cc and libtensorflow_framework- added fix_mvapich_mpi_bzl.patch which fixes detection of mvapich2 mpi library - fixed python3 build- update to version 1.13.1 * Major Features and Improvements * TensorFlow Lite has moved from contrib to core. This means that Python modules are under tf.lite and source code is now under tensorflow/lite rather than tensorflow/contrib/lite. * TensorFlow GPU binaries are now built against CUDA 10 and TensorRT 5.0. * Support for Python3.7 on all operating systems. * Moved NCCL to core. - drop merged patch mpilibpath_configure_py.patch - drop obsolete pyton3.7 patches - disabled jemalloc for now- enabled aws and googlecloud support * removed no_aws_and_googlecloud.patch- Fixed build issues with python 3.7 what introduced the patches * python3_7_compatibility.patch backported from upstream * python3.7_unicode.patch fixes a minor function call * python3.7_async_keyword.patch avoids the new keyword async- Fix build with python 3.7- Build and package libtensorflow.so as some packages may link to it- Add constraints on HDD size to avoid no space-left error- Fix python3 provides - Minor spec file cleanups- Provide python3-tensorflow- updated build command to fit bazel-0.19- Trim pad wording from descriptions.- Updated to Tensorflow 1.10 as with this release it supports the partial use of systemlibs. Still a lot additional sources are included which are * closure * weakref * double-conversion * gast * farmhash * nsync * gemmlowp * abseil-cpp * boring-ssl * google-apis * cub * highwayhash * abseil-pypi * eigen * arm_neon_x86_sse * fft * grpc * re2 Although some of these libraries are available in factory they could not be used as explicit versions are needed or bazel or the build system links them in the wrong way. - mpilibpath_configure_py.patch changes the search path for the mpi to also include lib64/ - no_aws_and_googlecloud.patch removes the dependence of aws, googlecloud and kafaka apis, as this version is not compiled with the support of this apis.- Initial commit of Tensorflow 1.4 not all requirement could be met by the distribution packages and the sources have to be included. This is true for - Eigen - protobuf - grpc - lmdb - json-cpp The build itself is now based on bazel and creates the pip package which is then extracted from the build environmentgoat03 1645137849 5fcd8f5655a7b71af120813faee4190f2287983d2.6.0-bp153.2.3.12.6.0-bp153.2.3.1 debug.build-id5fcd8f5655a7b71af120813faee4190f2287983dcd8f5655a7b71af120813faee4190f2287983d.debugusrlibhpcgnu7openmpi2tensorflow22.6.0lib64libiomp5.so-2.6.0-bp153.2.3.1.x86_64.debug/usr/lib//usr/lib/debug//usr/lib/debug/.build-id//usr/lib/debug/.build-id/5f//usr/lib/debug/usr//usr/lib/debug/usr/lib//usr/lib/debug/usr/lib/hpc//usr/lib/debug/usr/lib/hpc/gnu7//usr/lib/debug/usr/lib/hpc/gnu7/openmpi2//usr/lib/debug/usr/lib/hpc/gnu7/openmpi2/tensorflow2//usr/lib/debug/usr/lib/hpc/gnu7/openmpi2/tensorflow2/2.6.0//usr/lib/debug/usr/lib/hpc/gnu7/openmpi2/tensorflow2/2.6.0/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:17392/openSUSE_Backports_SLE-15-SP3_Update/5ff9bca2e88c298f05496bf69cb3167d-tensorflow2.openSUSE_Backports_SLE-15-SP3_Update:hpc-openmpi2cpioxz5x86_64-suse-linuxdirectoryELF 64-bit LSB shared object, x86-64, version 1 (SYSV), dynamically linked, BuildID[sha1]=5fcd8f5655a7b71af120813faee4190f2287983d, with debug_info, not strippedPz2Ԛ]h Xtensorflow2_2_6_0-gnu-openmpi2-hpc-debugsource(x86-64)2.6.0-bp153.2.3.1utf-8bd473960e3b83da299179cd7debaa5d6eacf4b8032b34743fe09420844e68733?7zXZ !t/C] crt:bLL `?HcE/9dJO;ᚬ& ts.ysM6{P;Ӽmpp"K6Ta]E7^z5l sW~y5_i >5^u,MIan4,-J!Ov xU;=摱g %j_cErxGq91MPNfƱ ct*-6Вp#)0S w%jD\d Z!^[L3BažR[_AEoВt݅+Ӛ1jymm r0nPtc@$BE!O\WyWW»U։}3~f ԯ׳2ձӳ\[$981U+LlGq)ҭTzG_/4FD1FZԟEZ.;2זݙkT^ӹÀtzXD<X:|g_+¤Jjښ洢 }^^S5Oc_O'v ez)6 a'''a GY($DV x¢dzBD@q]7C%NA)-ҨF'tr%3-}lN.}[>֨S^V0AdNU*ce-)uf$SˮGxX1(bz$1WVcℼr%a<0@#ey$3mYZp%\TwH'0;aqՕ̴f͋Q\4yLD&JǜdYi\cj@kQjJC)H P5-?AR M+۳N/ Ò<. kو9;I@2Gh&0b1/yIkג5K,,$6ezAr[ Pk" MsjuK>ζ I B:t[ *ط\ e4qBqڋjW)q$8 zgTqsy?2L@oeѾ{'\UV_JaI rݕ d6=YQpx AP5E-01eZC #k 6jQQr8fg^X L.8%JRuc.ѭG' 4_(xZ# nɓ +`"@z0-= S*)h&~J, |ƾ;;ģ$q9]g <)첖A'Y{ͥ(+^N+(;*t 2 HGO_Qqj }XV#dkCnOBIm'BnpiN&8!ͷ 4Zm'+"ՁS 6U#w$3LB1 |Z}џ>̌ūy"ħ{n(ؗOz @1)T#VhuBȦnӆ=e+sE'nnhwpaWXW*1q%at?;;03^uf`?CV\L~9"9FNKscq{ͤn!_f.))!Ssڠ ,56D&*ڄ{a {xfMzWUIfm+[gP m㢆Ae)̌xrތxb]3 1W1|GCaTmfCc /1_EčgTvlL` L yzwlD OmǢ!9 5b8Ci1plFi7=+]w3cj8:|e6ԌM-qqCW}=mo=o84nAjCWGAfgsI,=ۊ1;%Jl1q\iB^XD~*?ɝ2G#! DPHgT~p?SeWW 忠g׸ɋcꃏBFr YgU0a}z5&ܲkͅwMӓ;TFKxr`bG-7xN*xGuv+[O@d_qT`1-?8hAUi ?Aa+6l9aIz6䧻H5 bowLuBE'IJAñn2mF]]ǣf>3BgP.7M=ڐn3mLBcL Y`fL}$Z|0 %}_GDҒ--%fL/Դl!hhiT;SXm ?C.]62̘}[xBܦo$~NVgrđIXs>:N.?",^]UG1PP'}/RFk‰ٮwB) -ו5hO-o< <smÇ?1?!_O&Uka4 d^&Fx߻} #_{h?ľI?3gZ@+C% Đ (m-bpJ'd=*슁3?I\'`'2Y1gul5dv'>@SzaTJKXnU巿=P|"\Y1#׫s842t/ti*(&`x=op*:;#-J_x.ֺ?,"lHqo> <oS0[m/=7ni3xv>}X@Y)O0,#"|$WTY[ cdrV}b RXE7S( Kn Сq B*MBu)K=HZҋӝ:.};s,]$syj!]s`9`QISUeMc|`ZG2u#_aWX[0Z Y+ȐrO˳BV PX ඙@ؚ~K:Q!Z/"z&>g <\ x1h[ms#SHN,׈=D Toҏ8 7nsf0jj_z^t̍g%zb"7EC?.{k{AS{@?ŎmSµq?g[qWbߎɆQB9%~ZpaRˀBpTvv !\$ΒsY4B Z*f!65N CBգ=W Ϻ#[8[C>tcyDq0w zk6o1|צY5oF`Mn6K';/95=/Yi0 ;`1ܾ5yLkSŎ*yʁ[fZ9j&%i %}h;P؇({'܈Op*?pyg];7ZNH;ނ:Q/f_sdiV)܇jMt"Fߵ4CpvL1`l̘eb9E;6LM\ɥ_ p}}dO9oTCՄ'ޘbޘ=Xpfb7sU[2]R{Us ڿ,ʾZcTDO2|E݊NΫYE< Mf U&o djᵝ!B7'2[m4o .SU8fI%F5fD|R`¸0q26%ɚ 2;N{NG,rMPZ"6ę>dQac^G8/!xZ.@N Qx9L/KقfUHD1:'ÌA)kd#_՜1qMVU<sr{9>``75}4;[y/۲Je{ ]KV{.)ҦzsͿ0 S GY6oǦ;P|N Qb>X(WnT+o񓥘HH#OV} jᄌ'`5+T [H8m5`]5&/Ճ-+q+eeB8xD-DKyecš\Y6yb倭 1iޭUs6ۈ (R|fЄ&"<7+-glGV<HRZS,U{n,b`&ZE~f#SLn럗S69]) *oȏ'O)LFzJ5M?Þ!s^B8L]`VOⒻ,&ʹ+5X+֩Չ2NVǧ{UtfYǷ _xU|5y(#_t[V^]Z&oA^9M .^"xP-&0}ܭ6H#nפLpEmStJXmpsc YƔzz4TXX ;|*\χ>iӑ@eQ{f߬3q -} o-AP:p{QQP{z<ҎCk_"tQl` HF;?FKV-wѴ!o'xq(5 BSmYW/|ŴUP^X}-ZH\!·[S޴ ֔&Û] bX3ѕ;6TY5 %k>fߵ7kā/xpN`S~'IX&aXbR/T4'aUý&=xe7imæp2Y5ԥ,( nqLAZ Aa_Qz%1,-M$鍄"[a Fkᕀ?pĵGMAB'վBCu<-# tB:cqmnZN}QB.֋W :>HϱPT]ⱷ ڈeo|CCX*=+j/dw`8 (B'rp:>ѧ1`?d Fǖ: i t:/587ĂK]`kb2UuEےXWoM@y#J$ j;9܅N%/QbVD 76diQI#iz'̸R/ћur}I /:Y_GYhgrwZooȂ7ݠ Eki^afjh\ʀzِGIҭMtRfɜgXP1d]٩EޚW! "U=B[.Xqne`0Hv`x_ĭ1F#K<ޟ`mZI͝% IhS`@vݶHn!tdK#ࢉpm(/};I"%FP)P1u4x@1i;qj6m2Ewqax顾Hs:FQA6 g+ [ 9 ZQkxyOwT)u8 dh*)nƘVDV\Zrt[wN"U0b(}nrx 5Q펠^!Mr[:N/?J?F ؎i~0bۅjӰ@_{̪ 5胬Չr̤Q{3wqT`> ٜ?[Z[Gd01O7tc[ ,U. !ap1t,K/ %Tk6W#ң$YBI͈IRߛǰwuM P' fkS7B& PHӨjll e9<D>|L 4brf%;U><&2EI_JVڣ л0̅ғ\뇫dl>p\4 :獃YP|Lgb|C, FNĊ{YjRQN%ګ<3dB>LJ7ngCmvغT~+^ы@IϮsoV-[4#Y"B:HJ1-Z_KώÂ8Ӧe>tiDOZ(Nݷ:)ۼuFxRӜ^0q.46]&m:z! N*?1#.w1 %\M~yvB-Nc©:>"윾`γ̥oԀ{)S\7:8r BgL΢_u*MDFҎJjі>ڈ1M~I | U_۰ L; WTjfɼQṢV9 &4YIIݭ歯}ŝCfH"c 75Nd <[2tWxD/'L۞;JO2^tuWRrc {Ԧ 0lf>"!oie 2:6ZLIЬsId@4qky5;y='c/T|⼻>s*0IɴP7fٷ(;xhFnXyb9wyMq|SmkL':o7Mo錣W|)\ȔCEo;6T3 ƨa 8WJ."}$5bN=h1 yAӽo9NB+z1ͩzsae" m."9ܦc'}P^uC  AQE'@=VQCDzLPAZ),L2 R8[xu܄34@j[;9 "'_)O;̉nդr>(r- P̵缇Eoh uז~v 5( @"ݡk5mt7-ޯ렕Ћ1!;A}!EÈL|9f[ɗ.h&ɺ9 HP@ uow,H ڷ]vͼ D{iCAvj7S!5"D*.DE4SQ2?-eHA?2&h*=yWVg)s͞ K@GَT.nS ltb;*-GLğݻ552L:Sb<\am `@ $ kӶ?'GNF4iF̱.@ʼJ&ುSI娣j٬ h%?6ztj8!?B=ZgtToN[~yȰ;?P9D".~b#@Siҍk+V_@ksQ"(uM3>3 1ẻhz"V69>O/Vq2\$'m{?`5|7ۘD494Ży0d1BZl"q+2j@ëPƿFHNFQUCgN pmp# Mb#6.i}pWu{:o4 'ff #|Q ѿf%O"9)x^`O՝˳A[R֛Ӯ2rIkKGl r:₟KK5>v]uS4$Jq~!ϲvci]HM;V%|D"AየGMUdz+G3j ;k=3(Be,Go sg @9r*T{N,:e9||?HN~^TڒqcΣr^!Thiw[YVTZyCrb!j惾03-cw+Hؗm;ǻ vԥ Aj`ү[RGh>>ulgH"*J 8 IKq}oASYdw45(mea_)mD\"G v+O!sSXC ߃}T+%bsSHzA'Zn2SH 6<#W|yʇ~GS/\1c(U-hMMI>Mџ$kVz܆SaDk~Zj*R#~Rf[0T!ʭd$7}yGsCr$MX x 3 #5cX[>9ƮǴ}7AQIUdC|:*PhI~T~(:LЪwZ)0b`%o>ÎLt5Zl?GwJʺڰb]Gu:qo|jFXI.Toؠٙ,e7{YnꮒyWHo&,GŘSg&-C쭠W???il?5N\5a4Cprsi8M4UwX̐1JGOޙ3VD9Q~L-TOv=i>vR"x3vr\05:bm"Q&f!>_#AezUf&M!--ntP\}{$pQ7; Y)“RLdXU699oeA;߽UA賂1ryHշmraA3FD*}ʟ2wGK̭)"b®5aH:2k~j[ef"4}Ѯ8#z؃%{ԨCE"5M9vAnN(1{\LjO!!hoTs k;=j G# l28{9Sk WM%S^2G*,Vcjdު3NpzHyk+;/I4=dN4ۿoM0x9ohHߠtQ 1T` 6*"L uaZ%SBarI;VUt |{=XײjL[3}qb]GpY5?K^ց;`.\/xb5qPnjdޫOR$%ތuk_ĭ_xey>HBxaeQڨӉEJl!@ʔVkh@ײ%Xe& HtA)^s{# Ro BqxIqnXn -s ,͹ 938aTd/~+&] y7 ۩fES'UWUF[Ti]rG{Rm(-E GXjr1Tg& U{~wq1}]8[gcֺ'50O2i"?XV8E}w `p/"XdGBO٣x)>ItyEb[Ls‰uD]u~͌q7TTS˔LW`L̡hߣo& ?sh+=}wXf3\}y 9I)|A)@u%X W1;YQw:w9uj@!V]r.R-O{M۰T$dLA`Kن⣗1veEk.[ksR(p 4dVۑ mt +. n6pW,b&^;18֘[s̓ K{|(IB_q|[1x:֐zZO'h_ҢRК7 ğU{@+Rd&BEM{Dր;e(iYm|[r݂ɛر8U&P6 $9X}aXeZfs0ް0s"O)Z3(uP#grB`Gnl L=McX{1;`8" nm'H#bڕأc|+lwhy0]M9ӑƔj 8Q$bXZ;o8! $Dg"rܲX"S qb_=2Udkuѡ2Ū^LQ'e5xq SK) oJݛq @0{; fj0rrw"q}H6}2kb\_(&L?Bk}61{86WtYxW ZGdy>v.N()C;ı+)QwJ;$5^DDlfybW賏d!wj"c#mv%{?G&[=*R󈌶nтI8ZIH{!_o$Irf>NGU37LVJ&9`>:{>1t;m YC$yw9Vk9|ΈEoZtӄvڃ.҆$ ێC UI3IZ8z%[v9lTp"Trq3@l'72锷MlȞ}r_צGzdb |ns`ЫF][ЀmϢ7I[ZKH3ҀM޾DwZg1:%"`p v> UUSX'8E(,AV؆$={f<{/q'PIBA7YQ2K C P (nc R>лMn+OFAeo@tL@PE9I)k鳐>"h:NxU^_#B$搾ldu#)GiȬŰM4}f wKNQ{pblZo"Ni뿘uCj&eՌ$p<*EGiЧKXMVR)X^6W%:#!RG=r@Dmyc5߶Nq^fK02Ouڹ+6VJq;C=5loïè5/l.6-hsıى}?/h/M&U23suJi{Nx&u8q,-Fv`̻Epe"WSIA]<˨]Cr&#[1 72p)4ch__zos櫥&rKS!ewdZ ĸ[D.򉡕Yc+f%}y+4*̯^//VskG`X8Hfd(Q4l;>ǒ<<@s'(;W.PlA6J苶{;?zJP51+qT>K:Lp›߳>,Wנz!7#kj_j# ps,S,/ug ,Rq썏3Sy@JK&X7{-'dA^Qyz7C,|oV~i _woJ$O[YFo)dKA>1*%S_UXrqdkvm-h;A3[,[RqujbVS}kM|h`oh(րNs(Y#^4 1::m&&j¨zxF b d ATϾYÞPVnB|V##QY6l@bR[:k Tfދ Էx+1wI %x-.bzMӱ3E9ĽLGLX ?:tZֲsxWPW3L㖚nڠ& pKH|"JD[WnRqG82L-Wn`yՒF 'pĪj-\:)\KIvDX ZM)-;[UTZ'zfˡCL8-O/eA`+suMk}P`jJ Q`We q ⟿Lά~xCs=m1#T B8/v3Ъi~@7^-Z&@7.bwՖR6}M#cbUͷ۞Q4+13暁b G?nvhpRJ@ֹ*Ǫ2HY[yblnݻ[gsL>_c=z u8Iau!GK@*ۗF"}5sdn df Dd<שjƋ ̑H>zr #F\r~2mEaEU`5F_H*seN;w)mjwUGb< H@r80bAJֳr粼g2M{@.oBSS$c؁FVZDD%BeٯGInDO]må~NjM mSxOibF-&Q=tXUdΚf+4_v:}AU'fAP]S+WJ-R73!#`nf:Z7;zݾҜUOrfƷz.@K XQ$˯˾f1:b4@tCΰЮBe~m֦E8RYiG\"ў.,ZhυTDZk~bđ H/GN&}^!x2=*Zj)#W7y-1iA2qЮ:(ÒW z)+}%u]R$")OCEK d:(yd_¸Wm*G ?u&(Ff$а=9dCR >Yv1;a5vSN۸ $ 7bkWk&i29~j׊:uPYJ:܇/ /1ts1~< V7 ڲ)cԁݶ*ߍ&-pB#Ll37K4 a5TrA ݳ^ͥ7}>ZI!|q}XxKfnA}k &AT5LC[pQ^jUh+on Y8Fnd$sИʷ?[@71ӯ+shсO%qԫ" P*IejaxVnL5ǥH;YhSW I6f;m޳)>X5+LO"o0t4.薭L;/ic},#eѼƒO܄T;YK`[>JOj-B;(ږHDa>ѐh#m{- iL9S%d߲*U^D,k(> :eLmZM.|O+4@b llD ]QY$FXs|8%ؾN,Fr_;е#$5NgcviЏqW] 5gdcKoAޜ pw_x!lH\ѤNa>@`kdRKpj, ?k4yĊ.0m'}ȧٌ߬^ty)ܤ96FG cAI?ty|G ðqZU&3DT(v^nUMj.jFTpS}8UԳdbߥ:.YUe"o?pGTt]fqg]̞fA#h [ FvPeo^עl="k1Ky\!b(_-ĴV$ja]*9m4uuyt)ePþTDB?*Hc'>>4M*pg,}iS8hH-xpr4o&OT%F}:y6ݓ]ߋARk|X*zT 3t`J~\(mM!Vz&{ IniAW~7ȶAP/ԽyOr'2AB^ƀU8i)EAoapJJ[X/YҌfX9=v>ATE0C2i씈1j|!_r=nq^%Lҳm vbLEY"I_>Vz73B}oDmu$5Q,hN.Om= CAinLon&cBEİZόFɮƔ ߻VS&C#[fj9G gڙ{T[,e7uLYC+'m1Aّ+6Ybܹx Q>#v+?Ua #m-why+~N I6Goq %[C,3!Yg!C^R$ -Es!xnޛ ^V4ی4JQl0.zBd呰˯2I `q|&QIw'cj}N$$Rh\<6Tf3Ǻkj(h|LT&ѕfx¬HOj*n7`3|z$UDŽ&U ֶ~~\jAK0blDb`,qQ mXxDSUzGrE`0ιl'RW$]y_wۖhe֠V3 ,Fo##g tFǒ؃6c*W q*X\H6ݽ_ᙣ%P dB\9_d%{lov.d v_g﷬QAzIDB4sfZB'5*Ms5C:ЂѸmŒ/1 R@ߴ:]j;}H,`BļX -vkb;L'ߩjk`fK,RO̡ ت]- ĂLix4 t|stQc 8KÔJv'cwDk\tdeb!"a)IR;JyI9q*^! AQR</^=pUQ ả|9vDz"īfc Zn#R=[!E"<je$ 2sc;yɁIV>KaPpU|gx: 5]`> U<6+pL_T `%m#>pw{XGt>hX;7r4x#qPfk+}=>C="?&TwӴӋ(qkqGe2.B]kZaf+ղceN+5D>ݥZP$;njۂʄG~57T>XejPk-EnӠ7? =\0i098AO_ϳ3H~0'm5lw[%PTX xgӺ丳Ϳ_}Bia1L+Ya4)zv%TaoR%I?< '1@:F |՘gpPp$ DqR#RH|?%6a;T!Nc TW0P7mOA6NF(r RI0IW^( sWA/1JBɜJPoiuY~L֠+W`ђ ǘ'Sօ6LjzEC3x(u[ ܳi^\Ĕ?F`  6<`YOx"bZ5mjȔIBOs Bè'Iyg@߷ vPp6er7HZl7Cϛ٘j6Q;`X7u͊Ղ3]8<_fJN֥-FJچ76v߬qՑsW@c޼19ʴ2B09+@M6S2 Fͯ!5d­YRԮjM;NܜTˇFagaIO']A=I Bd\N#$m2Qe޲D9V6[@&tW 1Di7bǟrJ ¨2c_.b@bI;0T8J'1H5Qw!tvNz})e*r|ܟtN͹BfBcf-X B |G_6N܋-j|~3W_ .B])[CqRI⇿QP ѡ􎫧j tw =}fq %tu7:S) ,pQtEZp>5Q?ka,YQdLCan1sk"2xf@TVӧ/Q/y#kTHt K'D!n ɑTG\Uf+8RM ]zf;"06 l?!d;f{Jkΰk$w_ $g5bNxm}AOox3V6E6bfNa\VMS0u4LH]"w apO:3Zy ƍ}'`kx&&PwYC~л> zޥQ- l(IW6IHeCrJv{e2Od_O3)A!ka`D4M!)aG5tLpi/n(+LƒO ʜG;_/,t"V޴>Zs`P%%΂AEKGHtz2\`]p@]'IլU&#v Lpfmݰ{ZDD; {F1Z}î؜K$e Awuf7F|PѵPK%Yʞ("5Yf`A$s噿J\şkmLB|q;%4jη:Q7X??}UHnCGEjT+?H@>Eː e4Eu\Ãj{yb1J;rgh#YG=az<\ۊb AL7@vZa!G]gGHt-d@<Ȥ`vj!/ :֓^wiYH ^]$&OBj{ pN iBԩ[&׌;sxjc63i?c_7E.;E-Lld\ǁCGX~6:;K@2?2ڬ)ߕfcJSӆ )ӧtd%S:VdLT\.Om ! q_iS'hSMV_^N^K"`>g%);$w Ya:o fFm$8ι̪-ޔ2]X͎/ թDa"iuT~rC~h9czpg@YWSUjv4*}`|a{]aXG~^GoP"Lރ˒3Fo`E$wy9OpOvʥ R10px%h]i2 HI\ ]Wj>d!%sAf6˜Ax[$~/~ioI5A8 5'p',gQ){8C?yv m`gX+JB/gnD1(pgC:;c vlN  G9'b/bjR-Uom[3A.}!C&|W 1 _[ÞȂb\$>+w[MӢo%B$B3s}Êa,"y(3ڂlbZf!Q ;lvݱ*}4|)aOQm5>yTRlKOؖ 8ޙ_,YOwU1}ga%y& Y̳5r[= +v6H:*I<-jMyجS#h0]^* ~/')dNſ!Uy4*di ۸&%cC[ǬyȨp`$$ICrMӬys/|cGT;FbξA$;}ܬΝ!> Ha*;`*Ιuo9NrÂqpyqI[75lHυ4.U֢hܹd\< V2$.R QAE'l#Pn;FD$W_c$dapb'2RrlA~BE~_/w-U%CSGn\A\Ol:Atzȼ.kI 2gLE$c 'fu/'dZS$ 9ah_s$<[eѰU/jrfk ̵>sl)OH2^V@}55tss(#.l+6h S]AX +2A2Q^e_{j|e 4x$-au//eF-b\fW+L63 +cNe`zM n}ٱ|&'H&%E_RMmt##mJٵ5k$O~BFssS83Gt/a|]eQ3S [n誐 Sch9.vwNb I/J%xqd5Ui΢/G!-GY骒n \M~Ds1(4_aYfKF ߭34Sm"7i=<ba&di@pwhZ=o6M$`RDR4xl̓z2*R9jIɨ/J_l AQ; Y칶v* kFוoTƽ{s0ťL2Z T`.A?,/yv;mڗP1,T<ީKal܇{Zɚ#&,RU&/WW#̴}'@l'/FdAFG8v "| ,^=vjkkM(,W+^B5{=E C 5)m};yjKude"s6 ;ר4SvQʶ;n 'C|u MLηԨd*JkгbO~(Dj_xƾ*UC^g+Z7jOqe1Wښr  e,.ZZAiH5 ƞ?tKs? zSneH+!6pIȊ<½,WBK]M2,Udɫj >Zݘ@[j%Kkn}T2ԇj-#Snm=.1Ͳ<6 LNr./ŊE aәvUĸp$?zr~[Z@Cћ+?˕pxz_cߡ+*gBqȮd=14!QXqz@Px&a$:xAKn1<n+ѣ@j6 JUK{ Y׹uIц3|t}QM6F~EJMy5:\|L]Q +{:mN4 &E6 <|#R yB ?G>k{?MV^T`BNpB{TУNgĻOyT_*&;<x;$RўvC2 V"OY07 (_n9?Wиy.u.bS~.}NlHv-אykgng\5|2-ßSsCYfwxC ȅ..H~ZDZî}AGZ^e:[6VR %6J: ZKCN"ksZɎe Ar)M ytPj,IO?k!FI_]@R U,g@w?iMgt(9 eEj{ +RzhR_Y]z{zmos h±,VDSp5Y:,|Evr6dž+Q%<W5]+V~1D%g&6Ub^PzؽP.4) j;L&A4͢ Gj|g#֛nڱ>cDV\&KlGwѨ@2Xi EL\-[N̘ץ*q%l54c0sB`K۴<_8! K R5P6',;ڏ@h-LVi~j20JgdoUp1N=yK Vߗ^w++d~ZbrB*~ o钘=N1w >*y2|dmy! i9f4-̑$DιwFqIp`_pZ LeKbs=.11g}33Y%+3$r r5*E$eqKpc HPvĞ\[m4$C!(*Q+UWɤJgxv3Y/{L.1«PXHyY΍*7Tn9e@dDH9ιEc;Ul3~<"NL8JQp^*D/حק4VD{XV #i@f+H-*c8bNr*b+l\f#UF_R\vcØskz/$cj(_D+d@LS,81V'ZAie#\|hJ?W9.@F::F*~(O֌E O^6QMt_nuS)Wz`aa9ߜ{^i936(FR<$'K[PzʙP\R.H?Z_'7Kb.h#z8K# ]QoLf ү $ ۀ2*)<-v{Pl^\ߦGp<̮[N{$d>RR^')ro,{!Wb]›P{lR w\rQfD6dc;,{ w.@XxI#nUJoEORǒe)jp!hp671 &_1'O& &P"kt31.Xvʒ2ҳT>C|~{&6LxJ}Af6BGGneQ\3+uXA(@>ɇ]JfS2_3QM"ߓ!3ms!T$i.6Y'HB5Ǿuq}]r?/`C%BG'fj}݉,/`Θ3ruЈB,Ԋ,;Vnʒ~5Cexb?>/kW c]Xs؈cntݦr8<;=[:B9e+7=p֏ ?ً`GJ6vGpcj Np\m<߶)<`pɃ >Ρ+E?Al6w YuvW`YG^D*lwfƱgm+3m^PKT T-1e C*M5fA 3[#L\MC8 ZXy#q 3 6&h|br!P:<2zv+_ON߷gϰ6>ˌSpڢY9RnBҾ|o6 JQO[VBFob*ަjrյ3Q&sNcw88H˱i#LvPUPye%dMu|Gyִݸi[BZo=&kqgE>Le7G47[< $v2G:Ӑѹ&Cʐ\`W#RV37+DP =g0g>`қTuEMqL_ (THCqd'm\ByeMS7#TR;6V$e|Ж~l?/rU_cW*t:f\6/!3}VBC%(gxsr%@\ᾬQ5&5nhܹ[Jf]-_AxgkSZoHu%awo&v9'c(#BY I$dF) 5*R$ '?x@z>!ؐ;N`)%(:Oh++Yl^6<J}|HQt5-﷕IZ/rؓb=I_Jl=x:*(·6IMX7U2tmZմt@ "$z |iE\ݡ(>cN\ qloe$DKM)ՀPsCusT}3*C SexN۝ƖeJ ?9:`ҩdGd]_US_&Гe3- zOzIHdƚh׊8p--%|i8]4_N6'yغ>AG IKnX!ޡ^Qx4rdŖp~%E.(}2ߒ-srԙ*`tZu_gQ^%O;n2̦(>M7^BEDsCBqw̱RWI7;;牢090PV/t(&erȣ-^@nPT^Nə| exBboC 8;/?f['. vu?BH}8l]i 0niK,٩mmFB2TKj\U *CwG]p'X@fLKMCQ{cx?,eӵq'; .؜<bk:Q=cV@Nc_d`jFE7Ɛ!Ĥf DfдU {K,@,v>kRuXK$-σ%>j4]0j[3ZIb+ [W_(>CwR_wOh}uQ| 7n\4[7O5|Dn>ci57SU^MEP~DSNa5JDӾ>WlE!履AK,o—1,.ylŨauS%?(.>(dt}ބi`SꖀFx::7 "m)v?y W t_bC:~ѭLJG֖Be/`ۗn;4&~fcd.Jd0=15z?V5$(ϊq999{4EY8pJv?YZ<6_W0oWe,$^ZCm7Bc4&6~)gQM, ^Qً-];pY{74?$4Ⳣ" y؎H,~zBF?c;a~PBB C~"zYL9˗q6izv*.ZjS WpK(3ET"? LWziUao J KXD.DAچ[ x \WvדPn1a$@6=U#Bi~!W$ds yr^t.r7r"&ą5VaUDžc*k\1䑏CFɖ))Mc6\Ix DLm^qCNb:utQU-ÕXy#y֞Rn]U s S O=g0>,w7HK#'D\ۿH8my؄EtOCU9prμtcWiA !Phei 1Pt򝫍L !WV+ڽb̯ʨÇpVKWD/=cX:B4!]8}[8 ~1Qt2& Rw+[Qf7-<;RdHdeK3oI#Ƞwruӕ&˓ ]͟@h:BTnΤB7KxG1c8Yp*r)Q MUCL}Y`C+l0򂁥dTrsǑ?cNSwobdmYegb k1~pFξ2'{ _w޶ bjѪeF='D䴽)PY0K3n?Sjr%2BsW (G_OgR{V<.(=zى}*ahX{8X`,.oMX2˪EF5&ƚe,s>wsVPRre{CǍvU/4J}sp"Uࡼ.Ķfj9?~Ё0|ف49 a=Y:qLyFt`4wǭ@7'n(x]P,klK.R# ڳ0?Xw˸y۟;“ R;k6+~=\}R+`~Fx0S2{*mUȎ8f)|}D# C9~CȹcT`5p0* rDha9t"֎z j֌'{/Yc<S^)uFۿWs"KooLO1ݒAB"ۚ7UTss3j`澒5+φ $N$8'HaIz$$)WK~f$[QѫAhc0yC[RwR?NU3((aU({9R a&b tw.:unQYd̀:/x,aȔYȻx|Aok_WJl3xZ?m(لm /ٰԛew5>ny. Uɏk۴xௗ0oY03j|I r7r5l1)4v$c 6vs_\G-C7djq:o<08ҳ/8 o*zAo[%8EE83B뾹XQz?>|P͇r]<(#SF:!pOQ:AL-_i$ =#4[ MF~ίԷ틵{L5hg|df?ZːaUzb\i_=eS }:YJ ju=QF3n~)=R{~f X:Xw먾?ٿ _[4E b:FFPN;erYHt9 l1go~R E3(XŲqÆHR_Fi̪F?ujp)З|rV(itP},~.8ˋJFGRBIToA:ݠ.GFBmQ$ WX&yu+n3IA27>v3 w"J6ǕZ$TBGu>! F H-=%RFP-BUK#\>߷ o- 1ۘԪd|F{J>55h16'9&UZT<_#w %ϵxdt2 Ǜ*Q7཭H:j/~[i+cIipy@PEDs0 K՘p5/wp!UvŨ}gK;.Mf\$2&y`%'6`#Mjd̤V$!oi) fADccqڿmc>B[Ek[|͕qϪ }ƪtOFI%Cɵz"uٓoV5^jW1m! .ri:z  ULg !5+ a$n( 1t@%rdJn.Qd@VBXYk7X[0rno8hYsHV!5tyښwmPTǬH k %l8TV^B :@m#f (~1f_ z-l}O]@%d\׀ {qk|z*̀h]7C,ZpCz2]^b]@XvM{W^C>3~ &!kGjD0p_uľg2=%$qk+X h~$Vf g_-@N#wNjrE3*lrӕ1P(8YOo o!˛|wa8V)sV)dK$r$Y#gLۚ[J[$F9i\biOY&Z Nx0 G(ݡ*0h,_"dUw Xʼn;'\6%W~(E*bxqJ'*=n_^Ԙ{۠ V"'}2mD^-> { ᘷ^S5$vw60JpQcRZf05dRfa yߗՅd;H?bB0ULQ<ꯓٓ\G/@6Fzw^jZo&Y}cϰ]MlU@@Vr/_1Pc?F!-X}ry$4䎚9}ͧh\c/"EAq^s)΅@n6AD&L,ZBxgydůPH4Y/B&? 8{K.K'r^P~А1HMZ:u64LsK3'mKSNoSfAi*A&ő̘<h?VRK}$.y`RnF NK{K_)?8<,"5ms58=1V$>u˅=R^R(IfQvphoR$u,ȏ0,jSRB J#-DA6)f$pe4:  '~9ӫ 6)h$h/w2.Z8N,Z]84ҾQe"gXjS9ij!3ёQVXu;lHg%){Yʱ̖S53 &G>E·,m& Ɛ>'qfOps)_6hyLE3J}a8j;,ľEݶ꾌 m! C~#eE]:h'3޳ pE WEЮEu6яD+3WΝ?M~_~@=*ڋh[&S6yi ~M3p] 'ܜ/XM!j-*g)5LSЮZ?.;@rHO8]yIYP~a]pٯJ@žҪ^gGUdgAYv˞ s4_!*>FE<(j6-P_ &WXΠzYUi+:]_Ca# n]jt"ύ«vNQXj_/}!0m&)⻏f9Ԇf-$pigy4NM#vL R^dd23m]6ՀNsldhj'o 5ǔJҤ8f?oEEAJ֗NAk#ѱw4K.p"!A5f^{0*hfF)uv}O&=Sd7Qt^= "kJ$-ZT"쁇~xSaAГS=^DjvuCE'=r3b}V8o?e${\a M.yfI+ic&Pdb]*>S %m_l"5"k _֣3W.e?uqN,'ɹC$ fmޫFc֏`XyصC1OK$ !AVUd F{g[B,Sw^s ojs>G{< 9iAokFN . CpmH0L2g8 >3 ޒMF3enus+&MK枫Yrtx d;~ mW3(LG@x3% #NQ* Deu6Ct{ir "'W'dBQPHjA {6bk)yz ;NPmDpS#nY5<o#7Qn}Mz@D&!gdM:C޵ӔġzBz+a(MtTN[:=FE:!Bfʓf͟Ψ0-LB0C{!m]4r(R5a~Kyvr<PV_4ę5*̘حQWTSP䫖řux[@E& z)W|KO ^> h HQoKU|SBH䳙"#NE)nIR.d[RBmE5j:<>"R~AWq^+gjvZ+F^+̖Vjcb*zWj3Ӧ_zѣqhLߗȵ H,Sd>"$ 9QBHHdA* owSDE"9 NOO)a)3{l_`@T0Em r*:/-i{պ\fDLx@vv[bǶ0.ź;{^L{fEkR)hYeTZnkAHngm%!aOl&|luSY F1aYw4 ٠ rȲ|Mf5y,]JL%-vJiP =F'7]";jBQJuH ~Dj4G =% zA_hO߇p84P9zi/6kEr|3 gX>4tD|FZe<EjE+/a=z\um!%uuZ%'JVUJ$Yq4rַ){7)njjp.CgU$:NK*#p}:!fg_CL~ ?p$i6Ǘ5e{|2ݼ}4Mغ)Y{hcVd"fߐ:DDWc]O*|mSѶYLWh:y ]I"l- { "(y-%r<:H4}e BBHE ~: q4WT>b',l:O8=YM%# ^Qaw_+6L b*ۦ Zc.n ¡w.MՋfOe}hPf"meq@#r{^8!RKV1Cin㴆m.(i?ыH\RKZxǭ0&b6xG6rJ5u[00)V+c>˖2-A6/kZjݠem߆~)ӭ! y Zq)w(MY؇f֧0|+Ȣf& ~d [6^)|xK-5:Kͳ?U9aAΗByN5,50A՜zC4N{Chs淝VSm37fYgt6%Y$)&U:QANB[ztK#58ɁlŘ@'~2ተQTmbvs_魒]i )#ޠN͝koaA&S</m@>Otgq9'h>xsdk@oCF7+rV^W,@),LTj)'(ZMɯAdK]ϣAM[h_8}ErTrn$IT睓}$mM4O xsĈ* N5E5ؐ}WdxiobC7ُS0M zL'eV)ATw%r~} 8\Fu9uJUZBC1ү8(wZ=OC Xgz>=q4Øνwmb׌TJ?f6Re*_޿Oњ(:RM|gFYQe-3}Zhnɧ.~xVwQB:6@zc4Z|VѕSA9v%QC\3asZrfk'́%Qzz$g] zҡ-p~R*לporsGγ;ַMdH=.0l}>P 7aKo)w7 ͫڜ^C<'mR\9)879au,*/فJ7A~ nf4Nϝi#FLBR\^yARrZi2ooP<Ձ{4.&imپy3 OE|a_ 4<ٓm8vط"j hf,\EdrnSj鏙y#|ŬbxE╠GOs֤ rs 7$yΔTfk IT-">ߢ ZԇԈ_?{FJ"oIC@tyaA*?Ōs[H=M].K'Of p3Ks#Y s߈wGt LwJ0UC"\z>]!wiׇO-E1S-꓆نʫPEGu{k)Dr̆#nџlSk9gWGXA8fUH`NN+Rߡ@\YsiޣrZN0AoϤor6`F]kYcB 'GXN$K9|f7IųH([BR )?3$ˆmSج%P2.Im y̵pvuJAboP 'Z Ff꽚3D_yт~ ~z`^r$ӸEz+m^S@ d'AeFWY0.1f4Iڭ?vwCTB!jV)^b kӂT Z+T+$h{S@YnUNsf;x6lrz7|2ܳ/җoׂ;/"꾄s5`:c#q ˬH$rlzD&/V[| 55ȼBZ)_y]gf)˳OT"Ti 7Oα9hl.͵-5TFcMTXR$*=pk)m>* 0m 폘"M3Kl ̋Z@{,[:> Q\\.$c`av_?7R\9}{L+CI70z,1*T Y9UfSw1Wr@iAp d5ȓ0{H[5zݽ\@~LHp& EKt+c'u{Y:5E"t/Pb vN@]ײe;E@)0NĔ p1DĞ$=V(86TN:=5k5~!"KwF".p`=Oஓw?JږVj;NMtئ2ث TU@H  ϕ>4ɼ 滆 D 'i=/sC11|S{Z| OO2L_<8˰%%eP 3G0躝:6EƢGK dSjZ>8_F]l3Eƺ.pdzd5e1oqY@*SDАsZj,_P4W^꩙ܐKq% @)70ΩQcNׯmIٳMo7VQFņaexr"ő_TW1cggBFna8]_LȄ e;9|; FFo9 ڜ1H,Zahlqg>(x\yh2d?6ui@^дf1G ])@YRf⪺2鱪>$DrW-4Wf8Lv_U{úUmUfXAmcOtyW. V"9/R4N9ֹJM%rˎ缅)}a<7X#etK<}&GupcuAH!1|mܝbwX#uƥQ(gdZ5R~qL69ٱ MJT(# E9p{V9n@QGRI1BB1Ō-_A LЮ,eݼ_/ 8FEi3g@&h@dtw ew'c^yld4=ۓX+TDDdN)5N;E3ġʺERJq~O2claɤ,uWU*q)=izcߗ5>Iw{p]O_ט{-ҿ.@]\)BpMOȋ|"&@( 'SGP dzbܠ)Hf˭ lo6. Y @oM}\t("tfzĨXlq m/Z [gVYowjuUUDWԅR)#Σgӫ"McL 8} vGjT"T!s$V'͹Ml8ڠ]B&snCDŽx/9'u On`xma+#*clǿ%0 9@ O>rU[hl`8GC5ybJ3X&Yl+tp/u- @OdXDކ5s>JC'[s,!}eT ՚*x2=tjY tкP*JyDYbxdJ_avP߮̕%qϣ#CZ׈bQоe-> $;l(DSKg7%ӧsXBKw<(ڂunQ6Lw{?Dk;;őV/[L]e=w_8nvN#~}UEoaۻ_{4࿼#촫h\.Jr9 Y8Vkܠ1Dj{Pߒ㣵!$ cۆB'lRCViZ%k;m`ױB$|̣YF Ӧ j-hbU7"~􀍘Z? OENw& ak_f%pK#q"<U^qֱ|D{yJjN|B45u}|b@TL[vhnFe-BmF!ΒoX:FT[d|ifLةJ0N PE|]{C[9.fP0dN 3{6m[y P+!\/]y>#cr&k3<,˗B3Ct\SM}=Q]F,pZR}yOHĹZoz1US2n|Kkk3ޏp^^tAP5bx6E&<+DBQ&5oVO,nwtY$\?)Vqw|N8pY$jE8@/K0:x|CRy}Z(͜v/E;t$\;[82fO EJQۯXiԢ (^N!֊s NOᐚ⪲[I1ם-Vln*ibOeZmĴ -4[X+r;SB/ydQmf.GW׋T|a'9av6(*/@2xzcLfL`2n9538 ^4flN⤱ȓX?f-NU[{?z8*TEYĸƁ? 3*?K–W LCZpRU]yn~]M 3qbfrc) KUNwwyp_s.5:C_pk? {Gf4V2 -T? tYʽ=.ݿqTݪWoa$9Qu~Ro$Ӈѽ+o[yQ/0`ug W:Jҿ}=wGswӨzgu19EMhUKBd~pp2Zr;K4ew>2sĜrC?Jn\vg֤4\/ѝ: *JoH&87VK `@&?Z-^ꘛW? Hk+j@LMiK!w,q_/gGLr. $N:vD#wߗyvM=_Ը@cch].]U4הCМz;rmq+j9M-nKOna(Fی3'Z9z<[rEp38+Fɤ۽aAO=q֡ei$+5VΡ0HڬwHeT)N1܌U򄽭=FO@9h[M!IX|h=X_: Z_P_ ;T}up-bK,w3C7֥XO}<<Fy?x0O`F3=WX,EIKcHam6djl] | Bb+Dݗ~liՆ׸$Hk>ۅK 7@m$+4L 5.*Kl %V>6,%83&ۙwIR䆠:Z-Gv\+%2PUᔀoYTy.M_E"i4b$a6J}lh͢劄yx#ʇL̅n(y|4,!ҔY-r-H){V ̟l۸?tʱ㮛zӮ[0u{䄘m-b;@"L6B*rNB|^ `GNB{sa]`xJO/vMԴ9[s1d_\͑}Ơ37jҰ mre5̒q#.}/wB$]3]sJr:a|Jlx},fE"cnp[3iԎ0d@vZB-Y;>gUGyҢNQ̨Q@π&zX@8Vb[!R0 w:57.2h{6w JK-qw]xrL=R@_9 Hff.^D#P_6%le. L@/>k|JkU n8sPV0UEK{T{9h^(­ZՐ~"\:&E;C Q`=+L-]˹^Ǒ2澻]kBSùq9wA'r5ΤJgW?oy?PJ>i;%,@wA@Ovgww)9MX0% #qiPa){էO]JP9 EVVxJhXKݣ3jc?GvGI@|7IA@2AE12)isQ_WJ+UR/5!vuЁ3x"A2/+0&գG~n%cS<+?%<{`8+eM#\[XR{:@sP+a(!i<%4 "F,<{WU^MK=d EZef4baDQ4R>Xm?KRt 9>ujrfZQ|M|"uAlas@{0`s{w;= nG:ݔO LϘpG.!pUʱVMX';'( VW@ yO8": 8~lE O@>SZM%I͞Aeh<@V9ckDw:9Qz , G!p{\%QT6Wq~?$?P4n} 94im\f7A&>Ũ%"~%#֝J̥W)/(Xp:M (C{'Gl?L"Dç_sbH2&D1[X|wCuX34t> 9u`'BBVqJJr/tQ3|r3(_טqܵWiɏњnqF({oB|ÖEMr66ЅH^m}Ԍg˒hڢ~僩7E[d[0fs:i?''KmM5 )2ffg倰Tl*lf&u!÷akwR;ZU%(Jv9RUyx.oV#i/mC a:s +D6, N*EngJ& bGog;nD9 71zmo3 >f6B+"O`/tl9>6@G< >$)?Mg,(EVUEVn*$<&؋NI#o宇w\)XRwS)N mFbBR9m?j^~|K ARk1@-7l]%DĘ3#L 7nUϢ C_VKGEa%]B:#(M.]rK9i9}l1IHկ.<1-3Ё)źOGF*3eb;ߕ', 6[.'_iVS[а=$W aD 3}Rx~{Tk9rNĩ~n%fTIί5Pg=_m?I_azলzX|Td oBpi[R~PK?&(*ɱ5[4R|d}F,Dr.W.Dr@_ 0сN۰Zm|k@ bn_U}A\)@lItNmF|]eKJceR]($Tg 41N jGiSGڇ>|-MyU)h$`XHA;r$!Ц0/,uiP3+4@0Wty%lĥD|;}bDS?C?" Kބ>) NUS/S],ngOT!B%< YDEb٨y#׆)t2$ޤ=.kkbwk"-ӆ[C|߰NJ?A7(5}Ur0iֳ8<~ُ_V{ hҾ@Ԣ:cDLp5&fT~rd>u a\VB73bQU<^Cg#%4]RWi6*&<>3vx)CJJd1ul9Xw_P'` eDh:`Bvu>m|G13hP3Bb@ IkgMX|Ŕep轆: +3ù[Vss @TκoFp\)xC Lz93gg@|jϬ^(?r$v7 :\CupUBKjm +ZEPX2:3{vS#F&FtCt:~9XI/6J<(CVo1xipj 8l > 33B8,N>h w]'ӊalLFrZuqЀ]xo۹uԡ!~&gKY@H|ź] ygBϚ7cϳQXmq* :P_;sb\D(wr?aO.+OS{c<>r=T37PRcaJ{8JOn#ZW)ፘxMv%~ɏ8M!+SH`Z7>HPbarZ;JpH ,mzF_RxV]7ϑG` Z6Vl;ZE'ܜ )1@ d nm48d?n%eWiNk+mRS:C-r&x@1JAs&m 1B[KQ_3H/EϾ9WN=&La6-o[?MhzZN"0j~~r4INmƓ׊Ȥ@MP1j9Ij*@ JI_>UYAHۑZ>i5[->jm7gJTidC}5d(.#b \Kt.t&S(`:,?иk&0C f)o+#kF`$nF߸C}-ڿ00cEQ%/ =0_UjHl( zM"0dx}\q%tVRʄڅ]N[SվΠ1)x^S-V/a|{T0BB,,h:f<%ti[u_$㳚: -t:[Út^CcyMc wقPM-3w+wPYR4nJDSgi_Y\߁oԣ~h(t_QL *xSn]ԧ 8\FcgKsCwP1o1ai5hbμ`f0% 0slrr0'@%xep=:k-2Kͬ$d?r` p28*D(Z^*N=+P",9 Q|4S< [  (DnMs0k~8&6e ΅U 7<ߪ3 0^>n\I=߈?}SW&5DSʇ? tMU9Ջ (f^wOv9mcV@]=9_U)la: !gǰe1/@o=u;Du|3FU yW^mre;,Qi :R'k8A(%6G[@p%?^Q,_lkeή1W/-/ggu~FVt3H(xO{ <5-@sv-b./7?|{U*Yuv ͗#ۣ6~7O#+]ںuh {dD/O~=3p|,]L*> mZk.*uOޜro;PЦAzQ&I\\ZqkYҝUS|~Z9#8ɲaB $A@@EZo[8aRl0D,qQ#MyVyf2 ^BO,W?M +$Q/wt^zAqPHorD*;鋸&O]ϝݖZ\uZ759vZ~%6:K+Ci[+(!zݪ8e' s d 2-r%87}up~$k5^Q,Lg "*=+?C: p yuKtmvfabL(훜ºIC3Cl5$ 7z"G,)QC`\qpK4+taUڰg5kWXbc$GzK?(5ݡҰ8+o~Ht4p'#ׄ8--7 j4x') pti*oHw ceK7 x/ H(iBw)9$V/Uk8_5"G]`#%CڀZWpoْt=*2n-QT7NMvHy;g{skkOejnC.g`5q;|iF%aMVbg6d)!-ĪF̏MtHIC:٠]fqNqF AfJ % 3sU2S g"W3$^[^E}^7*e,b%%-b8V{ҙkh X-H2JaG`&w܆nx01Of͜rRϖk|71==]FmL"·nyWL /' ׸W⶜yLjՙuMGe2hا28դEk$Ѯ̜*5nа}bbr8!RsM1G u`D)˒0~sp">P%_y9DϺ\TK V|p+Z, "ánNr h׻T/E> ~y gN1\r:tQ~&Aw;]@͢@R+阎G!P>ᶓVBGfs7$ e,)ЉmJ7,eӰGM6' J> 4/vڐn)z6ĕK*p VM ӟnE)[}IV beMM 2ŶW.Ǒ$Y<*16psaX"=yKGwtx` wW/Ad֎Q:Lb+ 4]6 o2X~қi@1Z4 4ijCr7eĉ/mBԠSZ=cH\/fجBX2H '޺G,w 8X0 bW"xtHmiH.Ԉ/`cl-aA12CfHyGy5و$S;Ea"4 "^(ϔ>gPe5gCV޸?܊d{@؞,"LmHKCi֗]:q+*ptTˮ]lм@1Ͷjf+ 6{^O2K&ci{8HYqBbn(=$M'K/x2vC^ 5fu, e$y\ S}[, AeT//< (vAJK Ѵzm}ird?3^ioU]#X;,7)m\@`2QN/jW`ռEd\fFG'ā"Tih#eDLlFغ$y:C)o滲GvxHzT_<(V8 */+uoL MU/vzaxٷeι1*^h-C #Ya -z@ԣND8[sW 6gA!R-,X$[ $\l%-ʼnJL+.J&lo{̂WM 'ti?BFHl( % ?'-"7 7gS J# vBJ˝@ 9r%a؀dmJxܣ)v/"-IpfcLqz_ :aqMn.IysV&6(b n a Et DdUy./(JRpxZɕQi=^aWCz(3ĂNJM|q,/ vj /~È/P:To2H ]U>r E 8 ^t}U=?-EDM7 X?(< \Z*͌1H>;B( OMXC9 0ֽ+2pfG}\`ha.T7rP?ukP$L댻{+jrpD@vN%OMre[ø!,A+ eq:< vW$lg,<$ ?܀vf{(iN/B'h|dI-[zGsl8"0y qj2 9^.oIcN1*YHgcv'04!En9sXs t8y#F"A4s4E6B䒺ǔ䊿wt$"ps88Zh)h<% c7)2?qj`x4d_AkՖ*:=sCN ^1 NZ#b%ey=J }3ؖ> *ĢMRKi?}tG,f[ ӹw.D'PLzGV {P C zyt}iK+C>?V+m _i\'͘'"̲dLA vq-,(Tv<ϡcPB $ JuRקm}]ׁ\xW*!s+RF/ $"bxdϕJ@VEk\9aթ\Xдb]G9yԖ{TY]yڋ)bؗo i|}Mfq-490P,!-|x2ZZNP(q^[XJ^ʙmqIDT$!b]c8ܜA^g>ޘ3_Er9IlJ1>LR[p7cxRh`"G~* ELJK-.՜ȼۏ!k $CfQ+H4Cm/닇@W8Gp< sJGR2*QLG UzU!]׾|C\!R눮^?s^]W= >X? .lN<ґJ?wΨNv GGn*a!/1A{(p4t-ɉyP!#.n"?",t%Hzc̅mB'4TNy~9ZP^M_CR~Z@$4>7md{'6nF&/~Ӷ;KѢ䶒s-vf=*q]!l+d\1-:%݇Sa?s: ZDyuIJ>̵۞ Ҹ,!CSL ` R*N.%{dvo^eڹ}3T*פM= R>s1Kh~z.~2`/A! *vYqX&W?nؾj@,nz® iڅVY%_yDJ?޹ͳZ]mc)X ECJXPy vmЫZ%^X᳐=t3\ %`=O|&Z*JPNt]\$|>$qMdB[ۗ ir1m?+=J?jvJwG$"}E.X@E옗C h$D.Br7M%%X:o͋!;xMۻD+gG@.DӶ YZ