From 26815a9fcce9b89994ac0ca72a14fbb8e1c3731d Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Mon, 24 Mar 2025 16:24:11 +0100 Subject: [PATCH 01/37] ci: add gitlab-ci.yml --- .gitlab-ci.yml | 102 + conda-lock.yml | 2691 +++++++++++++++++ .../scripts/check_mccabe_complexity.sh | 36 + environment.yml | 215 ++ pyproject.toml | 71 + 5 files changed, 3115 insertions(+) create mode 100644 .gitlab-ci.yml create mode 100644 conda-lock.yml create mode 100755 continuous_integration/scripts/check_mccabe_complexity.sh create mode 100644 environment.yml diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml new file mode 100644 index 0000000..9be42f8 --- /dev/null +++ b/.gitlab-ci.yml @@ -0,0 +1,102 @@ +workflow: + rules: + - if: $CI_PIPELINE_SOURCE == "merge_request_event" + - if: $CI_PIPELINE_SOURCE == "web" + - if: $CI_PIPELINE_SOURCE == "schedule" + - if: $CI_COMMIT_BRANCH && $CI_OPEN_MERGE_REQUESTS + when: never + - if: $CI_COMMIT_BRANCH + +stages: + - init + - quality + +# Default configuration for all jobs +default: + tags: + - Usine_Logicielle + timeout: 30 minutes + +variables: + DEBUG: + value: 'false' + description: "Afficher des logs supplémentaires" + + TAG_IMAGE_CONDA: "publicremotes-docker/continuumio/miniconda3:23.5.2-0" + TAG_IMAGE_SONAR: "publicremotes-docker/sonarsource/sonar-scanner-cli:4.5" + CI: "true" + JFROG_CLI_HOME_DIR: ".jfrog/" + JFROG_CLI_TEMP_DIR: ".jfrog_tmp" + JFROG_VERSION: "v2/2.14.0" + JFROG_OS: "jfrog-cli-linux-amd64" + JFROG_CLI_BUILD_NAME: "${CI_PROJECT_PATH}_${CI_COMMIT_REF_SLUG}_gitlab-ci" + JFROG_CLI_BUILD_NUMBER: "${CI_PIPELINE_ID}" + + ARTIFACTORY_BUILD_URL: "https://${artifactory_host}/artifactory/webapp/#/builds/${JFROG_CLI_BUILD_NAME}/${JFROG_CLI_BUILD_NUMBER}" + CI_TEMPLATE_REGISTRY_HOST: "${ARTIFACTORY_HOST}/publicremotes-docker" + PIP_INDEX_URL: "https://${ARTIFACTORY_USER}:${ARTIFACTORY_TOKEN}@${ARTIFACTORY_HOST}/artifactory/api/pypi/pypi/simple" + PIP_CERT: "${CNES_CERTIFICATE}" + PIP_CACHE_DIR: ".pip-cache/" + CONDA_ENVS_DIRS: ".conda/envs" + CONDA_SSL_VERIFY: "${CNES_CERTIFICATE}" + PIP_SSL_VERIFY: "${CNES_CERTIFICATE}" + REQUESTS_CA_BUNDLE: "${CNES_CERTIFICATE}" + +build-env: + stage: init + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + before_script: + - export no_proxy=$NO_PROXY + - export http_proxy=$HTTP_PROXY + - export https_proxy=$HTTP_PROXY + - mkdir -p ${CONDA_ENVS_DIRS} + - pip install conda-lock + script: + - conda-lock install --name lenapy_env conda-lock.yml + timeout: 15 minutes + artifacts: + untracked: true + expire_in: 1 day + +formater: + stage: quality + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + before_script: + - source activate lenapy_env + - pip install .[formatter] + script: + - python -m black --check --diff lenapy + - python -m isort lenapy --check --diff + +pytest: + stage: quality + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + script: + - source activate lenapy_env + - pip install -e .[test] + - pytest -s tests -m ci --cov=lenapy --cov-report=xml:.ci-reports/coverage.xml --cov-report=term --junitxml=.ci-reports/junit-report.xml + artifacts: + paths: + - ./.ci-reports/ + expire_in: 1 day + +pylint_analysis: + stage: quality + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + script: + - source activate lenapy_env + - pip install .[quality] + - pylint --recursive=y --disable=all --fail-under=10 --enable=too-many-statements,too-many-nested-blocks lenapy | tee pylint_report.txt + artifacts: + when: always + paths: + - pylint_report.txt + expire_in: 1 day + +mccabe_analysis: + stage: quality + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + script: + - source activate lenapy_env + - pip install .[quality] + - ./continuous_integration/scripts/check_mccabe_complexity.sh 25 lenapy diff --git a/conda-lock.yml b/conda-lock.yml new file mode 100644 index 0000000..3ba0cec --- /dev/null +++ b/conda-lock.yml @@ -0,0 +1,2691 @@ +# This lock file was generated by conda-lock (https://github.com/conda/conda-lock). DO NOT EDIT! +# +# A "lock file" contains a concrete list of package versions (with checksums) to be installed. Unlike +# e.g. `conda env create`, the resulting environment will not change as new package versions become +# available, unless you explicitly update the lock file. +# +# Install this environment as "YOURENV" with: +# conda-lock install -n YOURENV conda-lock.yml +# To update a single package to the latest version compatible with the version constraints in the source: +# conda-lock lock --lockfile conda-lock.yml --update PACKAGE +# To re-solve the entire environment, e.g. after changing a version constraint in the source file: +# conda-lock -f environment.yml --lockfile conda-lock.yml +version: 1 +metadata: + content_hash: + linux-64: b1b5f96a490d24f162d7dabba6cab614c93578c60569d26310a812b1ec77c8dc + channels: + - url: pytorch + used_env_vars: [] + - url: conda-forge + used_env_vars: [] + - url: defaults + used_env_vars: [] + - url: https://repo.anaconda.com/pkgs/main + used_env_vars: [] + - url: https://repo.anaconda.com/pkgs/r + used_env_vars: [] + platforms: + - linux-64 + sources: + - environment.yml +package: +- name: _libgcc_mutex + version: '0.1' + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2 + hash: + md5: d7c89558ba9fa0495403155b64376d81 + sha256: fe51de6107f9edc7aa4f786a70f4a883943bc9d39b3bb7307c04c41410990726 + category: main + optional: false +- name: _openmp_mutex + version: '4.5' + manager: conda + platform: linux-64 + dependencies: + _libgcc_mutex: '0.1' + libgomp: '>=7.5.0' + url: https://conda.anaconda.org/conda-forge/linux-64/_openmp_mutex-4.5-2_gnu.tar.bz2 + hash: + md5: 73aaf86a425cc6e73fcf236a5a46396d + sha256: fbe2c5e56a653bebb982eda4876a9178aedfc2b545f25d0ce9c4c0b508253d22 + category: main + optional: false +- name: attr + version: 2.5.1 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/attr-2.5.1-h166bdaf_1.tar.bz2 + hash: + md5: d9c69a24ad678ffce24c6543a0176b00 + sha256: 82c13b1772c21fc4a17441734de471d3aabf82b61db9b11f4a1bd04a9c4ac324 + category: main + optional: false +- name: blosc + version: 1.21.6 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' + libzlib: '>=1.3.1,<2.0a0' + lz4-c: '>=1.10.0,<1.11.0a0' + snappy: '>=1.2.1,<1.3.0a0' + zstd: '>=1.5.6,<1.6.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/blosc-1.21.6-he440d0b_1.conda + hash: + md5: 2c2fae981fd2afd00812c92ac47d023d + sha256: e7af5d1183b06a206192ff440e08db1c4e8b2ca1f8376ee45fb2f3a85d4ee45d + category: main + optional: false +- name: bzip2 + version: 1.0.8 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-h4bc722e_7.conda + hash: + md5: 62ee74e96c5ebb0af99386de58cf9553 + sha256: 5ced96500d945fb286c9c838e54fa759aa04a7129c59800f0846b4335cee770d + category: main + optional: false +- name: c-ares + version: 1.34.4 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/c-ares-1.34.4-hb9d3cd8_0.conda + hash: + md5: e2775acf57efd5af15b8e3d1d74d72d3 + sha256: d4f28d87b6339b94f74762c0076e29c8ef8ddfff51a564a92da2843573c18320 + category: main + optional: false +- name: ca-certificates + version: 2025.1.31 + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2025.1.31-hbcca054_0.conda + hash: + md5: 19f3a56f68d2fd06c516076bff482c52 + sha256: bf832198976d559ab44d6cdb315642655547e26d826e34da67cbee6624cda189 + category: main + optional: false +- name: esmf + version: 8.8.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + hdf5: '>=1.14.3,<1.14.4.0a0' + libgcc: '>=13' + libgfortran: '' + libgfortran5: '>=13.3.0' + libnetcdf: '>=4.9.2,<4.9.3.0a0' + libstdcxx: '>=13' + mpich: '>=4.2.3,<5.0a0' + netcdf-fortran: '>=4.6.1,<4.7.0a0' + parallelio: '>=2.6.3,<2.6.4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/esmf-8.8.0-mpi_mpich_h7cf99a1_100.conda + hash: + md5: a4b70bc2f9114bc6922536f646041c1e + sha256: 562d7d941810406e2a01bc68099ce42de9998c2d8a78b9c5dfbb30fd6cf96d5d + category: main + optional: false +- name: esmpy + version: 8.8.0 + manager: conda + platform: linux-64 + dependencies: + esmf: 8.8.0.* + numpy: '>=1.19,<3' + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/esmpy-8.8.0-pyhecae5ae_0.conda + hash: + md5: 9d8320aa90c8e213002f9cdb5bb9f579 + sha256: 298b2cb1fa84d13b0572fa9651c44a933b990ae1358d54b4309ece4527d44082 + category: main + optional: false +- name: hdf4 + version: 4.2.15 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + libjpeg-turbo: '>=3.0.0,<4.0a0' + libstdcxx-ng: '>=12' + libzlib: '>=1.2.13,<2.0.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/hdf4-4.2.15-h2a13503_7.conda + hash: + md5: bd77f8da987968ec3927990495dc22e4 + sha256: 0d09b6dc1ce5c4005ae1c6a19dc10767932ef9a5e9c755cfdbb5189ac8fb0684 + category: main + optional: false +- name: hdf5 + version: 1.14.3 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libaec: '>=1.1.3,<2.0a0' + libcurl: '>=8.11.1,<9.0a0' + libgcc: '>=13' + libgfortran: '' + libgfortran5: '>=13.3.0' + libstdcxx: '>=13' + libzlib: '>=1.3.1,<2.0a0' + mpich: '>=4.2.3,<5.0a0' + openssl: '>=3.4.0,<4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/hdf5-1.14.3-mpi_mpich_h7f58efa_9.conda + hash: + md5: a51d78bcf5894aa3986f1fdeca19eec9 + sha256: 93a479a835a7b8a27713c5988f870b6d1e7daddea00f406bc7dd624b1efb477f + category: main + optional: false +- name: icu + version: '75.1' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/icu-75.1-he02047a_0.conda + hash: + md5: 8b189310083baabfb622af68fd9d3ae3 + sha256: 71e750d509f5fa3421087ba88ef9a7b9be11c53174af3aa4d06aff4c18b38e8e + category: main + optional: false +- name: keyutils + version: 1.6.1 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=10.3.0' + url: https://conda.anaconda.org/conda-forge/linux-64/keyutils-1.6.1-h166bdaf_0.tar.bz2 + hash: + md5: 30186d27e2c9fa62b45fb1476b7200e3 + sha256: 150c05a6e538610ca7c43beb3a40d65c90537497a4f6a5f4d15ec0451b6f5ebb + category: main + optional: false +- name: krb5 + version: 1.21.3 + manager: conda + platform: linux-64 + dependencies: + keyutils: '>=1.6.1,<2.0a0' + libedit: '>=3.1.20191231,<4.0a0' + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + openssl: '>=3.3.1,<4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/krb5-1.21.3-h659f571_0.conda + hash: + md5: 3f43953b7d3fb3aaa1d0d0723d91e368 + sha256: 99df692f7a8a5c27cd14b5fb1374ee55e756631b9c3d659ed3ee60830249b238 + category: main + optional: false +- name: ld_impl_linux-64 + version: '2.43' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + url: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.43-h712a8e2_4.conda + hash: + md5: 01f8d123c96816249efd255a31ad7712 + sha256: db73f38155d901a610b2320525b9dd3b31e4949215c870685fd92ea61b5ce472 + category: main + optional: false +- name: libaec + version: 1.1.3 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + libstdcxx-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/libaec-1.1.3-h59595ed_0.conda + hash: + md5: 5e97e271911b8b2001a8b71860c32faa + sha256: 2ef420a655528bca9d269086cf33b7e90d2f54ad941b437fb1ed5eca87cee017 + category: main + optional: false +- name: libblas + version: 3.9.0 + manager: conda + platform: linux-64 + dependencies: + libopenblas: '>=0.3.29,<1.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-31_h59b9bed_openblas.conda + hash: + md5: 728dbebd0f7a20337218beacffd37916 + sha256: 9839fc4ac0cbb0aa3b9eea520adfb57311838959222654804e58f6f2d1771db5 + category: main + optional: false +- name: libcap + version: '2.75' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + attr: '>=2.5.1,<2.6.0a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libcap-2.75-h39aace5_0.conda + hash: + md5: c44c16d6976d2aebbd65894d7741e67e + sha256: 9c84448305e7c9cc44ccec7757cf5afcb5a021f4579aa750a1fa6ea398783950 + category: main + optional: false +- name: libcblas + version: 3.9.0 + manager: conda + platform: linux-64 + dependencies: + libblas: 3.9.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-31_he106b2a_openblas.conda + hash: + md5: abb32c727da370c481a1c206f5159ce9 + sha256: ede8545011f5b208b151fe3e883eb4e31d495ab925ab7b9ce394edca846e0c0d + category: main + optional: false +- name: libcurl + version: 8.12.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + krb5: '>=1.21.3,<1.22.0a0' + libgcc: '>=13' + libnghttp2: '>=1.64.0,<2.0a0' + libssh2: '>=1.11.1,<2.0a0' + libzlib: '>=1.3.1,<2.0a0' + openssl: '>=3.4.1,<4.0a0' + zstd: '>=1.5.6,<1.6.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libcurl-8.12.1-h332b0f4_0.conda + hash: + md5: 45e9dc4e7b25e2841deb392be085500e + sha256: 2ebc3039af29269e4cdb858fca36265e5e400c1125a4bcd84ae73a596e0e76ca + category: main + optional: false +- name: libedit + version: 3.1.20250104 + manager: conda + platform: linux-64 + dependencies: + ncurses: '>=6.5,<7.0a0' + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20250104-pl5321h7949ede_0.conda + hash: + md5: c277e0a4d549b03ac1e9d6cbbe3d017b + sha256: d789471216e7aba3c184cd054ed61ce3f6dac6f87a50ec69291b9297f8c18724 + category: main + optional: false +- name: libev + version: '4.33' + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/libev-4.33-hd590300_2.conda + hash: + md5: 172bf1cd1ff8629f2b1179945ed45055 + sha256: 1cd6048169fa0395af74ed5d8f1716e22c19a81a8a36f934c110ca3ad4dd27b4 + category: main + optional: false +- name: libexpat + version: 2.6.4 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libexpat-2.6.4-h5888daf_0.conda + hash: + md5: db833e03127376d461e1e13e76f09b6c + sha256: 56541b98447b58e52d824bd59d6382d609e11de1f8adf20b23143e353d2b8d26 + category: main + optional: false +- name: libfabric + version: 2.1.0 + manager: conda + platform: linux-64 + dependencies: + libfabric1: 2.1.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libfabric-2.1.0-ha770c72_0.conda + hash: + md5: e76644332d8b1a6cf32daa3969c04a6d + sha256: 54edf48d67a5ae08915aa901b578e7b1bb177fb90586da37c70bc31a7cbc1fba + category: main + optional: false +- name: libfabric1 + version: 2.1.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libnl: '>=3.11.0,<4.0a0' + rdma-core: '>=55.0' + url: https://conda.anaconda.org/conda-forge/linux-64/libfabric1-2.1.0-h14e6f36_0.conda + hash: + md5: 71334aae45fc4c6dcb2c0f1d189dfc37 + sha256: c9b8e86b01ad18e9f95e80a22d76bd46fd34cf3ff2b3ff8b3d47ac686bc21391 + category: main + optional: false +- name: libffi + version: 3.4.6 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libffi-3.4.6-h2dba641_0.conda + hash: + md5: e3eb7806380bc8bcecba6d749ad5f026 + sha256: 67a6c95e33ebc763c1adc3455b9a9ecde901850eb2fceb8e646cc05ef3a663da + category: main + optional: false +- name: libgcc + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + _openmp_mutex: '>=4.5' + url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-14.2.0-h767d61c_2.conda + hash: + md5: ef504d1acbd74b7cc6849ef8af47dd03 + sha256: 3a572d031cb86deb541d15c1875aaa097baefc0c580b54dc61f5edab99215792 + category: main + optional: false +- name: libgcc-ng + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + libgcc: 14.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-14.2.0-h69a702a_2.conda + hash: + md5: a2222a6ada71fb478682efe483ce0f92 + sha256: fb7558c328b38b2f9d2e412c48da7890e7721ba018d733ebdfea57280df01904 + category: main + optional: false +- name: libgcrypt-lib + version: 1.11.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libgpg-error: '>=1.51,<2.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libgcrypt-lib-1.11.0-hb9d3cd8_2.conda + hash: + md5: e55712ff40a054134d51b89afca57dbc + sha256: ffc3602f9298da248786f46b00d0594d26a18feeb1b07ce88f3d7d61075e39e6 + category: main + optional: false +- name: libgfortran + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + libgfortran5: 14.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-14.2.0-h69a702a_2.conda + hash: + md5: fb54c4ea68b460c278d26eea89cfbcc3 + sha256: e05263e8960da03c341650f2a3ffa4ccae4e111cb198e8933a2908125459e5a6 + category: main + optional: false +- name: libgfortran-ng + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + libgfortran: 14.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-14.2.0-h69a702a_2.conda + hash: + md5: 4056c857af1a99ee50589a941059ec55 + sha256: 688a5968852e677d2a64974c8869ffb120eac21997ced7d15c599f152ef6857e + category: main + optional: false +- name: libgfortran5 + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=14.2.0' + url: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-14.2.0-hf1ad2bd_2.conda + hash: + md5: 556a4fdfac7287d349b8f09aba899693 + sha256: c17b7cf3073a1f4e1f34d50872934fa326346e104d3c445abc1e62481ad6085c + category: main + optional: false +- name: libgomp + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libgomp-14.2.0-h767d61c_2.conda + hash: + md5: 06d02030237f4d5b3d9a7e7d348fe3c6 + sha256: 1a3130e0b9267e781b89399580f3163632d59fe5b0142900d63052ab1a53490e + category: main + optional: false +- name: libgpg-error + version: '1.51' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libgpg-error-1.51-hbd13f7d_1.conda + hash: + md5: 168cc19c031482f83b23c4eebbb94e26 + sha256: 9e0c09c1faf2151ade3ccb64e52d3c1f2dde85c00e37c6a3e6a8bced2aba68be + category: main + optional: false +- name: libhwloc + version: 2.11.2 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' + libxml2: '>=2.13.4,<3.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libhwloc-2.11.2-default_h0d58e46_1001.conda + hash: + md5: 804ca9e91bcaea0824a341d55b1684f2 + sha256: d14c016482e1409ae1c50109a9ff933460a50940d2682e745ab1c172b5282a69 + category: main + optional: false +- name: libiconv + version: '1.18' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libiconv-1.18-h4ce23a2_1.conda + hash: + md5: e796ff8ddc598affdf7c173d6145f087 + sha256: 18a4afe14f731bfb9cf388659994263904d20111e42f841e9eea1bb6f91f4ab4 + category: main + optional: false +- name: libjpeg-turbo + version: 3.0.0 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/libjpeg-turbo-3.0.0-hd590300_1.conda + hash: + md5: ea25936bb4080d843790b586850f82b8 + sha256: b954e09b7e49c2f2433d6f3bb73868eda5e378278b0f8c1dd10a7ef090e14f2f + category: main + optional: false +- name: liblapack + version: 3.9.0 + manager: conda + platform: linux-64 + dependencies: + libblas: 3.9.0 + url: https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-31_h7ac8fdf_openblas.conda + hash: + md5: 452b98eafe050ecff932f0ec832dd03f + sha256: f583661921456e798aba10972a8abbd9d33571c655c1f66eff450edc9cbefcf3 + category: main + optional: false +- name: liblzma + version: 5.6.4 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/liblzma-5.6.4-hb9d3cd8_0.conda + hash: + md5: 42d5b6a0f30d3c10cd88cb8584fda1cb + sha256: cad52e10319ca4585bc37f0bc7cce99ec7c15dc9168e42ccb96b741b0a27db3f + category: main + optional: false +- name: libnetcdf + version: 4.9.2 + manager: conda + platform: linux-64 + dependencies: + blosc: '>=1.21.5,<2.0a0' + bzip2: '>=1.0.8,<2.0a0' + hdf4: '>=4.2.15,<4.2.16.0a0' + hdf5: '>=1.14.3,<1.14.4.0a0' + libaec: '>=1.1.3,<2.0a0' + libcurl: '>=8.8.0,<9.0a0' + libgcc-ng: '>=12' + libpnetcdf: '>=1.13.0,<1.13.1.0a0' + libstdcxx-ng: '>=12' + libxml2: '>=2.12.7,<3.0a0' + libzip: '>=1.10.1,<2.0a0' + libzlib: '>=1.2.13,<2.0a0' + mpich: '>=4.2.1,<5.0a0' + openssl: '>=3.3.1,<4.0a0' + zlib: '' + zstd: '>=1.5.6,<1.6.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libnetcdf-4.9.2-mpi_mpich_h761946e_14.conda + hash: + md5: ac6ab66e2aebf2964efe4228e98d4c31 + sha256: 715d3631f0f112cdb0f26aca3cb49c56d44056de90d375bd943b2ad6c8e139c4 + category: main + optional: false +- name: libnghttp2 + version: 1.64.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + c-ares: '>=1.32.3,<2.0a0' + libev: '>=4.33,<5.0a0' + libgcc: '>=13' + libstdcxx: '>=13' + libzlib: '>=1.3.1,<2.0a0' + openssl: '>=3.3.2,<4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libnghttp2-1.64.0-h161d5f1_0.conda + hash: + md5: 19e57602824042dfd0446292ef90488b + sha256: b0f2b3695b13a989f75d8fd7f4778e1c7aabe3b36db83f0fe80b2cd812c0e975 + category: main + optional: false +- name: libnl + version: 3.11.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libnl-3.11.0-hb9d3cd8_0.conda + hash: + md5: db63358239cbe1ff86242406d440e44a + sha256: ba7c5d294e3d80f08ac5a39564217702d1a752e352e486210faff794ac5001b4 + category: main + optional: false +- name: libnsl + version: 2.0.1 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/libnsl-2.0.1-hd590300_0.conda + hash: + md5: 30fd6e37fe21f86f4bd26d6ee73eeec7 + sha256: 26d77a3bb4dceeedc2a41bd688564fe71bf2d149fdcf117049970bc02ff1add6 + category: main + optional: false +- name: libopenblas + version: 0.3.29 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=14' + libgfortran: '' + libgfortran5: '>=14.2.0' + url: https://conda.anaconda.org/conda-forge/linux-64/libopenblas-0.3.29-pthreads_h94d23a6_0.conda + hash: + md5: 0a4d0252248ef9a0f88f2ba8b8a08e12 + sha256: cc5389ea254f111ef17a53df75e8e5209ef2ea6117e3f8aced88b5a8e51f11c4 + category: main + optional: false +- name: libpnetcdf + version: 1.13.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libgfortran: '' + libgfortran5: '>=13.3.0' + libstdcxx: '>=13' + mpich: '>=4.2.3,<5.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libpnetcdf-1.13.0-mpi_mpich_hdce4f7b_101.conda + hash: + md5: 3370d44f463b19dd4eeecc6986d6fbd1 + sha256: 967870d48ef7304c647e8f773f9a421ac994843f079f346951b03850689ee184 + category: main + optional: false +- name: libsqlite + version: 3.49.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libzlib: '>=1.3.1,<2.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.49.1-hee588c1_2.conda + hash: + md5: 962d6ac93c30b1dfc54c9cccafd1003e + sha256: a086289bf75c33adc1daed3f1422024504ffb5c3c8b3285c49f025c29708ed16 + category: main + optional: false +- name: libssh2 + version: 1.11.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libzlib: '>=1.3.1,<2.0a0' + openssl: '>=3.4.0,<4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libssh2-1.11.1-hf672d98_0.conda + hash: + md5: be2de152d8073ef1c01b7728475f2fe7 + sha256: 0407ac9fda2bb67e11e357066eff144c845801d00b5f664efbc48813af1e7bb9 + category: main + optional: false +- name: libstdcxx + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: 14.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-14.2.0-h8f9b012_2.conda + hash: + md5: a78c856b6dc6bf4ea8daeb9beaaa3fb0 + sha256: 8f5bd92e4a24e1d35ba015c5252e8f818898478cb3bc50bd8b12ab54707dc4da + category: main + optional: false +- name: libstdcxx-ng + version: 14.2.0 + manager: conda + platform: linux-64 + dependencies: + libstdcxx: 14.2.0 + url: https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-14.2.0-h4852527_2.conda + hash: + md5: c75da67f045c2627f59e6fcb5f4e3a9b + sha256: e86f38b007cf97cc2c67cd519f2de12a313c4ee3f5ef11652ad08932a5e34189 + category: main + optional: false +- name: libsystemd0 + version: '257.4' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libcap: '>=2.75,<2.76.0a0' + libgcc: '>=13' + libgcrypt-lib: '>=1.11.0,<2.0a0' + liblzma: '>=5.6.4,<6.0a0' + lz4-c: '>=1.10.0,<1.11.0a0' + zstd: '>=1.5.7,<1.6.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-257.4-h4e0b6ca_1.conda + hash: + md5: 04bcf3055e51f8dde6fab9672fb9fca0 + sha256: 5aa2ba63747ad3b6e717f025c9d2ab4bb32c0d366e1ef81669ffa73b1d9af4a2 + category: main + optional: false +- name: libudev1 + version: '257.4' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libcap: '>=2.75,<2.76.0a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libudev1-257.4-hbe16f8c_1.conda + hash: + md5: d6716795cd81476ac2f5465f1b1cde75 + sha256: 56e55a7e7380a980b418c282cb0240b3ac55ab9308800823ff031a9529e2f013 + category: main + optional: false +- name: libuuid + version: 2.38.1 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/libuuid-2.38.1-h0b41bf4_0.conda + hash: + md5: 40b61aab5c7ba9ff276c41cfffe6b80b + sha256: 787eb542f055a2b3de553614b25f09eefb0a0931b0c87dbcce6efdfd92f04f18 + category: main + optional: false +- name: libxcrypt + version: 4.4.36 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + url: https://conda.anaconda.org/conda-forge/linux-64/libxcrypt-4.4.36-hd590300_1.conda + hash: + md5: 5aa797f8787fe7a17d1b0821485b5adc + sha256: 6ae68e0b86423ef188196fff6207ed0c8195dd84273cb5623b85aa08033a410c + category: main + optional: false +- name: libxml2 + version: 2.13.6 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + icu: '>=75.1,<76.0a0' + libgcc: '>=13' + libiconv: '>=1.18,<2.0a0' + liblzma: '>=5.6.4,<6.0a0' + libzlib: '>=1.3.1,<2.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.13.6-h8d12d68_0.conda + hash: + md5: 328382c0e0ca648e5c189d5ec336c604 + sha256: db8af71ea9c0ae95b7cb4a0f59319522ed2243942437a1200ceb391493018d85 + category: main + optional: false +- name: libzip + version: 1.11.2 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + bzip2: '>=1.0.8,<2.0a0' + libgcc: '>=13' + libzlib: '>=1.3.1,<2.0a0' + openssl: '>=3.3.2,<4.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/libzip-1.11.2-h6991a6a_0.conda + hash: + md5: a7b27c075c9b7f459f1c022090697cba + sha256: 991e7348b0f650d495fb6d8aa9f8c727bdf52dabf5853c0cc671439b160dce48 + category: main + optional: false +- name: libzlib + version: 1.3.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.3.1-hb9d3cd8_2.conda + hash: + md5: edb0dca6bc32e4f4789199455a1dbeb8 + sha256: d4bfe88d7cb447768e31650f06257995601f89076080e76df55e3112d4e47dc4 + category: main + optional: false +- name: lz4-c + version: 1.10.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/lz4-c-1.10.0-h5888daf_1.conda + hash: + md5: 9de5350a85c4a20c685259b889aa6393 + sha256: 47326f811392a5fd3055f0f773036c392d26fdb32e4d8e7a8197eed951489346 + category: main + optional: false +- name: mpi + version: 1.0.1 + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/noarch/mpi-1.0.1-mpich.conda + hash: + md5: 1052de900d672ec8b3713b8e300a8f06 + sha256: eacc189267202669a1c5c849dcca2298f41acb3918f05cf912d7d61ee7176fac + category: main + optional: false +- name: mpich + version: 4.3.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libfabric: '' + libfabric1: '>=1.14.0' + libgcc: '>=13' + libgfortran: '' + libgfortran5: '>=13.3.0' + libhwloc: '>=2.11.2,<2.11.3.0a0' + libstdcxx: '>=13' + mpi: 1.0.* + ucx: '>=1.18.0,<1.19.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/mpich-4.3.0-h1a8bee6_100.conda + hash: + md5: 5184f66a5a8226d84a9f2935b5096d52 + sha256: 04a012a7f1f13f5629bf1212ccd27ebb41197ca4d0c5f5ff28a608fab4783c27 + category: main + optional: false +- name: ncurses + version: '6.5' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.5-h2d0b736_3.conda + hash: + md5: 47e340acb35de30501a76c7c799c41d7 + sha256: 3fde293232fa3fca98635e1167de6b7c7fda83caf24b9d6c91ec9eefb4f4d586 + category: main + optional: false +- name: netcdf-fortran + version: 4.6.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + hdf5: '>=1.14.3,<1.14.4.0a0' + libgcc: '>=13' + libgfortran: '' + libgfortran5: '>=13.3.0' + libnetcdf: '>=4.9.2,<4.9.3.0a0' + mpich: '>=4.2.3,<5.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/netcdf-fortran-4.6.1-mpi_mpich_h2e543cf_8.conda + hash: + md5: 71d0475997fb331a1c3bb322125bd866 + sha256: 117d4c8ccebf6d676eb3bdae09eed88e85bce08ce24ba2987c676482b16d48e2 + category: main + optional: false +- name: numpy + version: 2.2.4 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libblas: '>=3.9.0,<4.0a0' + libcblas: '>=3.9.0,<4.0a0' + libgcc: '>=13' + liblapack: '>=3.9.0,<4.0a0' + libstdcxx: '>=13' + python: '>=3.11,<3.12.0a0' + python_abi: 3.11.* + url: https://conda.anaconda.org/conda-forge/linux-64/numpy-2.2.4-py311h5d046bc_0.conda + hash: + md5: 16ad2b996ea8064e0a7cb8b392d924fd + sha256: 4ff5f5ab2e0205d712fdc8b2950a2a4b2a063c47d0c9b08f7ea71ae246e47ac1 + category: main + optional: false +- name: openssl + version: 3.4.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + ca-certificates: '' + libgcc: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.4.1-h7b32b05_0.conda + hash: + md5: 41adf927e746dc75ecf0ef841c454e48 + sha256: cbf62df3c79a5c2d113247ddea5658e9ff3697b6e741c210656e239ecaf1768f + category: main + optional: false +- name: parallelio + version: 2.6.3 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc-ng: '>=13' + libgfortran-ng: '' + libgfortran5: '>=13.3.0' + libnetcdf: '>=4.9.2,<4.9.3.0a0' + libpnetcdf: '>=1.13.0,<1.13.1.0a0' + mpich: '>=4.2.2,<5.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/parallelio-2.6.3-mpi_mpich_h43d51f9_100.conda + hash: + md5: 87e123c145f34c38201df08cc7046deb + sha256: 1b0500a1e4dc0ac0994aa7ef9c96312d4a2dac94788c4dee5e146c8f821dbe9b + category: main + optional: false +- name: pip + version: 25.0.1 + manager: conda + platform: linux-64 + dependencies: + python: '>=3.9,<3.13.0a0' + setuptools: '' + wheel: '' + url: https://conda.anaconda.org/conda-forge/noarch/pip-25.0.1-pyh8b19718_0.conda + hash: + md5: 79b5c1440aedc5010f687048d9103628 + sha256: 585940f09d87787f79f73ff5dff8eb2af8a67e5bec5eebf2f553cd26c840ba69 + category: main + optional: false +- name: python + version: 3.11.11 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + bzip2: '>=1.0.8,<2.0a0' + ld_impl_linux-64: '>=2.36.1' + libexpat: '>=2.6.4,<3.0a0' + libffi: '>=3.4,<4.0a0' + libgcc: '>=13' + liblzma: '>=5.6.4,<6.0a0' + libnsl: '>=2.0.1,<2.1.0a0' + libsqlite: '>=3.49.1,<4.0a0' + libuuid: '>=2.38.1,<3.0a0' + libxcrypt: '>=4.4.36' + libzlib: '>=1.3.1,<2.0a0' + ncurses: '>=6.5,<7.0a0' + openssl: '>=3.4.1,<4.0a0' + readline: '>=8.2,<9.0a0' + tk: '>=8.6.13,<8.7.0a0' + tzdata: '' + url: https://conda.anaconda.org/conda-forge/linux-64/python-3.11.11-h9e4cc4f_2_cpython.conda + hash: + md5: 81dd3e521f9b9eaa58d06213e28aaa9b + sha256: e0be7ad95a034d10e021f15317bf5c70fc1161564fa47844984c245505cde36c + category: main + optional: false +- name: python_abi + version: '3.11' + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.11-5_cp311.conda + hash: + md5: 139a8d40c8a2f430df31048949e450de + sha256: 2660b8059b3ee854bc5d3c6b1fce946e5bd2fe8fbca7827de2c5885ead6209de + category: main + optional: false +- name: rdma-core + version: '56.0' + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libnl: '>=3.11.0,<4.0a0' + libstdcxx: '>=13' + libsystemd0: '>=257.2' + libudev1: '>=257.2' + url: https://conda.anaconda.org/conda-forge/linux-64/rdma-core-56.0-h5888daf_0.conda + hash: + md5: a73b3f6d529417fa78d64e8af82444b1 + sha256: 24cc8c5e8a88a81931c73b8255a4af038a0a72cd1575ec5e507def2ea3f238bb + category: main + optional: false +- name: readline + version: '8.2' + manager: conda + platform: linux-64 + dependencies: + libgcc: '>=13' + ncurses: '>=6.5,<7.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8c095d6_2.conda + hash: + md5: 283b96675859b20a825f8fa30f311446 + sha256: 2d6d0c026902561ed77cd646b5021aef2d4db22e57a5b0178dfc669231e06d2c + category: main + optional: false +- name: setuptools + version: 75.8.2 + manager: conda + platform: linux-64 + dependencies: + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/setuptools-75.8.2-pyhff2d567_0.conda + hash: + md5: 9bddfdbf4e061821a1a443f93223be61 + sha256: 91d664ace7c22e787775069418daa9f232ee8bafdd0a6a080a5ed2395a6fa6b2 + category: main + optional: false +- name: snappy + version: 1.2.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' + url: https://conda.anaconda.org/conda-forge/linux-64/snappy-1.2.1-h8bd8927_1.conda + hash: + md5: 3b3e64af585eadfb52bb90b553db5edf + sha256: ec91e86eeb2c6bbf09d51351b851e945185d70661d2ada67204c9a6419d282d3 + category: main + optional: false +- name: tk + version: 8.6.13 + manager: conda + platform: linux-64 + dependencies: + libgcc-ng: '>=12' + libzlib: '>=1.2.13,<2.0.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda + hash: + md5: d453b98d9c83e71da0741bb0ff4d76bc + sha256: e0569c9caa68bf476bead1bed3d79650bb080b532c64a4af7d8ca286c08dea4e + category: main + optional: false +- name: tzdata + version: 2025b + manager: conda + platform: linux-64 + dependencies: {} + url: https://conda.anaconda.org/conda-forge/noarch/tzdata-2025b-h78e105d_0.conda + hash: + md5: 4222072737ccff51314b5ece9c7d6f5a + sha256: 5aaa366385d716557e365f0a4e9c3fca43ba196872abbbe3d56bb610d131e192 + category: main + optional: false +- name: ucx + version: 1.18.0 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + _openmp_mutex: '>=4.5' + libgcc: '' + libgcc-ng: '>=12' + libstdcxx: '' + libstdcxx-ng: '>=12' + rdma-core: '>=55.0' + url: https://conda.anaconda.org/conda-forge/linux-64/ucx-1.18.0-hfd9a62f_2.conda + hash: + md5: 9d1f64cb3991b7141eec7b0adcc0c789 + sha256: 7cdda54d342fc2571a9357de0bfc036f397194a28dc80d3700bbf3cc1f522d24 + category: main + optional: false +- name: wheel + version: 0.45.1 + manager: conda + platform: linux-64 + dependencies: + python: '>=3.9' + url: https://conda.anaconda.org/conda-forge/noarch/wheel-0.45.1-pyhd8ed1ab_1.conda + hash: + md5: 75cb7132eb58d97896e173ef12ac9986 + sha256: 1b34021e815ff89a4d902d879c3bd2040bc1bd6169b32e9427497fa05c55f1ce + category: main + optional: false +- name: zlib + version: 1.3.1 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libzlib: 1.3.1 + url: https://conda.anaconda.org/conda-forge/linux-64/zlib-1.3.1-hb9d3cd8_2.conda + hash: + md5: c9f075ab2f33b3bbee9e62d4ad0a6cd8 + sha256: 5d7c0e5f0005f74112a34a7425179f4eb6e73c92f5d109e6af4ddeca407c92ab + category: main + optional: false +- name: zstd + version: 1.5.7 + manager: conda + platform: linux-64 + dependencies: + __glibc: '>=2.17,<3.0.a0' + libgcc: '>=13' + libstdcxx: '>=13' + libzlib: '>=1.3.1,<2.0a0' + url: https://conda.anaconda.org/conda-forge/linux-64/zstd-1.5.7-hb8e6e7a_2.conda + hash: + md5: 6432cb5d4ac0046c3ac0a8a0f95842f9 + sha256: a4166e3d8ff4e35932510aaff7aa90772f84b4d07e9f6f83c614cba7ceefe0eb + category: main + optional: false +- name: anyio + version: 4.9.0 + manager: pip + platform: linux-64 + dependencies: + idna: '>=2.8' + sniffio: '>=1.1' + typing-extensions: '>=4.5' + url: https://files.pythonhosted.org/packages/a1/ee/48ca1a7c89ffec8b6a0c5d02b89c305671d5ffd8d3c94acf8b8c408575bb/anyio-4.9.0-py3-none-any.whl + hash: + sha256: 9f76d541cad6e36af7beb62e978876f3b41e3e04f2c1fbf0884604c0a9c4d93c + category: main + optional: false +- name: argon2-cffi + version: 23.1.0 + manager: pip + platform: linux-64 + dependencies: + argon2-cffi-bindings: '*' + url: https://files.pythonhosted.org/packages/a4/6a/e8a041599e78b6b3752da48000b14c8d1e8a04ded09c88c714ba047f34f5/argon2_cffi-23.1.0-py3-none-any.whl + hash: + sha256: c670642b78ba29641818ab2e68bd4e6a78ba53b7eff7b4c3815ae16abf91c7ea + category: main + optional: false +- name: argon2-cffi-bindings + version: 21.2.0 + manager: pip + platform: linux-64 + dependencies: + cffi: '>=1.0.1' + url: https://files.pythonhosted.org/packages/ec/f7/378254e6dd7ae6f31fe40c8649eea7d4832a42243acaf0f1fff9083b2bed/argon2_cffi_bindings-21.2.0-cp36-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: b746dba803a79238e925d9046a63aa26bf86ab2a2fe74ce6b009a1c3f5c8f2ae + category: main + optional: false +- name: arrow + version: 1.3.0 + manager: pip + platform: linux-64 + dependencies: + python-dateutil: '>=2.7.0' + types-python-dateutil: '>=2.8.10' + url: https://files.pythonhosted.org/packages/f8/ed/e97229a566617f2ae958a6b13e7cc0f585470eac730a73e9e82c32a3cdd2/arrow-1.3.0-py3-none-any.whl + hash: + sha256: c728b120ebc00eb84e01882a6f5e7927a53960aa990ce7dd2b10f39005a67f80 + category: main + optional: false +- name: asttokens + version: 3.0.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/25/8a/c46dcc25341b5bce5472c718902eb3d38600a903b14fa6aeecef3f21a46f/asttokens-3.0.0-py3-none-any.whl + hash: + sha256: e3078351a059199dd5138cb1c706e6430c05eff2ff136af5eb4790f9d28932e2 + category: main + optional: false +- name: async-lru + version: 2.0.5 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/03/49/d10027df9fce941cb8184e78a02857af36360d33e1721df81c5ed2179a1a/async_lru-2.0.5-py3-none-any.whl + hash: + sha256: ab95404d8d2605310d345932697371a5f40def0487c03d6d0ad9138de52c9943 + category: main + optional: false +- name: attrs + version: 25.3.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/77/06/bb80f5f86020c4551da315d78b3ab75e8228f89f0162f2c3a819e407941a/attrs-25.3.0-py3-none-any.whl + hash: + sha256: 427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3 + category: main + optional: false +- name: babel + version: 2.17.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/b7/b8/3fe70c75fe32afc4bb507f75563d39bc5642255d1d94f1f23604725780bf/babel-2.17.0-py3-none-any.whl + hash: + sha256: 4d0b53093fdfb4b21c92b5213dba5a1b23885afa8383709427046b21c366e5f2 + category: main + optional: false +- name: beautifulsoup4 + version: 4.13.3 + manager: pip + platform: linux-64 + dependencies: + soupsieve: '>1.2' + typing-extensions: '>=4.0.0' + url: https://files.pythonhosted.org/packages/f9/49/6abb616eb3cbab6a7cca303dc02fdf3836de2e0b834bf966a7f5271a34d8/beautifulsoup4-4.13.3-py3-none-any.whl + hash: + sha256: 99045d7d3f08f91f0d656bc9b7efbae189426cd913d830294a15eefa0ea4df16 + category: main + optional: false +- name: black + version: 24.8.0 + manager: pip + platform: linux-64 + dependencies: + click: '>=8.0.0' + mypy-extensions: '>=0.4.3' + packaging: '>=22.0' + pathspec: '>=0.9.0' + platformdirs: '>=2' + url: https://files.pythonhosted.org/packages/a5/b5/f485e1bbe31f768e2e5210f52ea3f432256201289fd1a3c0afda693776b0/black-24.8.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_28_x86_64.whl + hash: + sha256: 62e8730977f0b77998029da7971fa896ceefa2c4c4933fcd593fa599ecbf97a4 + category: main + optional: false +- name: bleach + version: 6.2.0 + manager: pip + platform: linux-64 + dependencies: + webencodings: '*' + tinycss2: '>=1.1.0,<1.5' + url: https://files.pythonhosted.org/packages/fc/55/96142937f66150805c25c4d0f31ee4132fd33497753400734f9dfdcbdc66/bleach-6.2.0-py3-none-any.whl + hash: + sha256: 117d9c6097a7c3d22fd578fcd8d35ff1e125df6736f554da4e432fdd63f31e5e + category: main + optional: false +- name: certifi + version: 2025.1.31 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/38/fc/bce832fd4fd99766c04d1ee0eead6b0ec6486fb100ae5e74c1d91292b982/certifi-2025.1.31-py3-none-any.whl + hash: + sha256: ca78db4565a652026a4db2bcdf68f2fb589ea80d0be70e03929ed730746b84fe + category: main + optional: false +- name: cf-xarray + version: 0.10.4 + manager: pip + platform: linux-64 + dependencies: + xarray: '>=2023.09.0' + url: https://files.pythonhosted.org/packages/60/c1/77f0fbdae53ca5b0574646c1078eab49e9a200709c2e892deae6493d1368/cf_xarray-0.10.4-py3-none-any.whl + hash: + sha256: 57032b9c78b002545b0dcac7e437ea119d27a7d906f61273188b56f2c3eb02c7 + category: main + optional: false +- name: cffi + version: 1.17.1 + manager: pip + platform: linux-64 + dependencies: + pycparser: '*' + url: https://files.pythonhosted.org/packages/ff/6b/d45873c5e0242196f042d555526f92aa9e0c32355a1be1ff8c27f077fd37/cffi-1.17.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 610faea79c43e44c71e1ec53a554553fa22321b65fae24889706c0a84d4ad86d + category: main + optional: false +- name: cfgv + version: 3.4.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/c5/55/51844dd50c4fc7a33b653bfaba4c2456f06955289ca770a5dbd5fd267374/cfgv-3.4.0-py2.py3-none-any.whl + hash: + sha256: b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9 + category: main + optional: false +- name: cftime + version: 1.6.4.post1 + manager: pip + platform: linux-64 + dependencies: + numpy: '>1.13.3' + url: https://files.pythonhosted.org/packages/77/81/6b30815698ede50f89013f25e46d66ed3a290b8a2d6b97f95bacbbe1eb5c/cftime-1.6.4.post1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: c9ea0965a4c87739aebd84fe8eed966e5809d10065eeffd35c99c274b6f8da15 + category: main + optional: false +- name: charset-normalizer + version: 3.4.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/88/83/489e9504711fa05d8dde1574996408026bdbdbd938f23be67deebb5eca92/charset_normalizer-3.4.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: fd4ec41f914fa74ad1b8304bbc634b3de73d2a0889bd32076342a573e0779e00 + category: main + optional: false +- name: click + version: 8.1.8 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/7e/d4/7ebdbd03970677812aac39c869717059dbb71a4cfc033ca6e5221787892c/click-8.1.8-py3-none-any.whl + hash: + sha256: 63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2 + category: main + optional: false +- name: cloudpickle + version: 3.1.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/7e/e8/64c37fadfc2816a7701fa8a6ed8d87327c7d54eacfbfb6edab14a2f2be75/cloudpickle-3.1.1-py3-none-any.whl + hash: + sha256: c8c5a44295039331ee9dad40ba100a9c7297b6f988e50e87ccdf3765a668350e + category: main + optional: false +- name: comm + version: 0.2.2 + manager: pip + platform: linux-64 + dependencies: + traitlets: '>=4' + url: https://files.pythonhosted.org/packages/e6/75/49e5bfe642f71f272236b5b2d2691cf915a7283cc0ceda56357b61daa538/comm-0.2.2-py3-none-any.whl + hash: + sha256: e6fb86cb70ff661ee8c9c14e7d36d6de3b4066f1441be4063df9c5009f0a64d3 + category: main + optional: false +- name: contourpy + version: 1.3.1 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.23' + url: https://files.pythonhosted.org/packages/85/fc/7fa5d17daf77306840a4e84668a48ddff09e6bc09ba4e37e85ffc8e4faa3/contourpy-1.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 3a04ecd68acbd77fa2d39723ceca4c3197cb2969633836ced1bea14e219d077c + category: main + optional: false +- name: cycler + version: 0.12.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/e7/05/c19819d5e3d95294a6f5947fb9b9629efb316b96de511b418c53d245aae6/cycler-0.12.1-py3-none-any.whl + hash: + sha256: 85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30 + category: main + optional: false +- name: dask + version: 2025.2.0 + manager: pip + platform: linux-64 + dependencies: + click: '>=8.1' + cloudpickle: '>=3.0.0' + fsspec: '>=2021.09.0' + packaging: '>=20.0' + partd: '>=1.4.0' + pyyaml: '>=5.3.1' + toolz: '>=0.10.0' + importlib-metadata: '>=4.13.0' + url: https://files.pythonhosted.org/packages/55/4a/738ec3dac7e767c1ba6fbb6ecb908ceda66a1b2f4ee967bc03800fb07630/dask-2025.2.0-py3-none-any.whl + hash: + sha256: f0fdeef6ceb0a06569d456c9e704f220f7f54e80f3a6ea42ab98cea6bc642b6e + category: main + optional: false +- name: debugpy + version: 1.8.13 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/5c/c9/06ff65f15eb30dbdafd45d1575770b842ce3869ad5580a77f4e5590f1be7/debugpy-1.8.13-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 4caca674206e97c85c034c1efab4483f33971d4e02e73081265ecb612af65377 + category: main + optional: false +- name: decorator + version: 5.2.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/4e/8c/f3147f5c4b73e7550fe5f9352eaa956ae838d5c51eb58e7a25b9f3e2643b/decorator-5.2.1-py3-none-any.whl + hash: + sha256: d316bb415a2d9e2d2b3abcc4084c6502fc09240e292cd76a76afc106a1c8e04a + category: main + optional: false +- name: defusedxml + version: 0.7.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl + hash: + sha256: a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 + category: main + optional: false +- name: distlib + version: 0.3.9 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/91/a1/cf2472db20f7ce4a6be1253a81cfdf85ad9c7885ffbed7047fb72c24cf87/distlib-0.3.9-py2.py3-none-any.whl + hash: + sha256: 47f8c22fd27c27e25a65601af709b38e4f0a45ea4fc2e710f65755fa8caaaf87 + category: main + optional: false +- name: executing + version: 2.2.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/7b/8f/c4d9bafc34ad7ad5d8dc16dd1347ee0e507a52c3adb6bfa8887e1c6a26ba/executing-2.2.0-py2.py3-none-any.whl + hash: + sha256: 11387150cad388d62750327a53d3339fad4888b39a6fe233c3afbb54ecffd3aa + category: main + optional: false +- name: fastjsonschema + version: 2.21.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/90/2b/0817a2b257fe88725c25589d89aec060581aabf668707a8d03b2e9e0cb2a/fastjsonschema-2.21.1-py3-none-any.whl + hash: + sha256: c9e5b7e908310918cf494a434eeb31384dd84a98b57a30bcb1f535015b554667 + category: main + optional: false +- name: filelock + version: 3.18.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/4d/36/2a115987e2d8c300a974597416d9de88f2444426de9571f4b59b2cca3acc/filelock-3.18.0-py3-none-any.whl + hash: + sha256: c401f4f8377c4464e6db25fff06205fd89bdd83b65eb0488ed1b160f780e21de + category: main + optional: false +- name: fonttools + version: 4.56.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/28/e9/47c02d5a7027e8ed841ab6a10ca00c93dadd5f16742f1af1fa3f9978adf4/fonttools-4.56.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 003548eadd674175510773f73fb2060bb46adb77c94854af3e0cc5bc70260049 + category: main + optional: false +- name: fqdn + version: 1.5.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl + hash: + sha256: 3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 + category: main + optional: false +- name: fsspec + version: 2025.3.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/56/53/eb690efa8513166adef3e0669afd31e95ffde69fb3c52ec2ac7223ed6018/fsspec-2025.3.0-py3-none-any.whl + hash: + sha256: efb87af3efa9103f94ca91a7f8cb7a4df91af9f74fc106c9c7ea0efd7277c1b3 + category: main + optional: false +- name: gsw + version: 3.6.19 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.21' + url: https://files.pythonhosted.org/packages/3f/b9/f5adac68ac3d62d9069ef3b2c7086d2aff65d098702e5db2e42583e05c8d/gsw-3.6.19-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: fdedb58ab2f0a33cc5c00e1de672cb37621ec975232b9df1dbae5c1e89f1c57e + category: main + optional: false +- name: h11 + version: 0.14.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/95/04/ff642e65ad6b90db43e668d70ffb6736436c7ce41fcc549f4e9472234127/h11-0.14.0-py3-none-any.whl + hash: + sha256: e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761 + category: main + optional: false +- name: httpcore + version: 1.0.7 + manager: pip + platform: linux-64 + dependencies: + certifi: '*' + h11: '>=0.13,<0.15' + url: https://files.pythonhosted.org/packages/87/f5/72347bc88306acb359581ac4d52f23c0ef445b57157adedb9aee0cd689d2/httpcore-1.0.7-py3-none-any.whl + hash: + sha256: a3fff8f43dc260d5bd363d9f9cf1830fa3a458b332856f34282de498ed420edd + category: main + optional: false +- name: httpx + version: 0.28.1 + manager: pip + platform: linux-64 + dependencies: + anyio: '*' + certifi: '*' + httpcore: '>=1.0.0,<2.0.0' + idna: '*' + url: https://files.pythonhosted.org/packages/2a/39/e50c7c3a983047577ee07d2a9e53faf5a69493943ec3f6a384bdc792deb2/httpx-0.28.1-py3-none-any.whl + hash: + sha256: d909fcccc110f8c7faf814ca82a9a4d816bc5a6dbfea25d6591d6985b8ba59ad + category: main + optional: false +- name: identify + version: 2.6.9 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/07/ce/0845144ed1f0e25db5e7a79c2354c1da4b5ce392b8966449d5db8dca18f1/identify-2.6.9-py2.py3-none-any.whl + hash: + sha256: c98b4322da415a8e5a70ff6e51fbc2d2932c015532d77e9f8537b4ba7813b150 + category: main + optional: false +- name: idna + version: '3.10' + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/76/c6/c88e154df9c4e1a2a66ccf0005a88dfb2650c1dffb6f5ce603dfbd452ce3/idna-3.10-py3-none-any.whl + hash: + sha256: 946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3 + category: main + optional: false +- name: importlib-metadata + version: 8.6.1 + manager: pip + platform: linux-64 + dependencies: + zipp: '>=3.20' + url: https://files.pythonhosted.org/packages/79/9d/0fb148dc4d6fa4a7dd1d8378168d9b4cd8d4560a6fbf6f0121c5fc34eb68/importlib_metadata-8.6.1-py3-none-any.whl + hash: + sha256: 02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e + category: main + optional: false +- name: ipykernel + version: 6.29.5 + manager: pip + platform: linux-64 + dependencies: + comm: '>=0.1.1' + debugpy: '>=1.6.5' + ipython: '>=7.23.1' + jupyter-client: '>=6.1.12' + jupyter-core: '>=4.12,<5.0.0 || >=5.1.0' + matplotlib-inline: '>=0.1' + nest-asyncio: '*' + packaging: '*' + psutil: '*' + pyzmq: '>=24' + tornado: '>=6.1' + traitlets: '>=5.4.0' + url: https://files.pythonhosted.org/packages/94/5c/368ae6c01c7628438358e6d337c19b05425727fbb221d2a3c4303c372f42/ipykernel-6.29.5-py3-none-any.whl + hash: + sha256: afdb66ba5aa354b09b91379bac28ae4afebbb30e8b39510c9690afb7a10421b5 + category: main + optional: false +- name: ipython + version: 9.0.2 + manager: pip + platform: linux-64 + dependencies: + decorator: '*' + ipython-pygments-lexers: '*' + jedi: '>=0.16' + matplotlib-inline: '*' + pexpect: '>4.3' + prompt-toolkit: '>=3.0.41,<3.1.0' + pygments: '>=2.4.0' + stack-data: '*' + traitlets: '>=5.13.0' + typing-extensions: '>=4.6' + url: https://files.pythonhosted.org/packages/20/3a/917cb9e72f4e1a4ea13c862533205ae1319bd664119189ee5cc9e4e95ebf/ipython-9.0.2-py3-none-any.whl + hash: + sha256: 143ef3ea6fb1e1bffb4c74b114051de653ffb7737a3f7ab1670e657ca6ae8c44 + category: main + optional: false +- name: ipython-pygments-lexers + version: 1.1.1 + manager: pip + platform: linux-64 + dependencies: + pygments: '*' + url: https://files.pythonhosted.org/packages/d9/33/1f075bf72b0b747cb3288d011319aaf64083cf2efef8354174e3ed4540e2/ipython_pygments_lexers-1.1.1-py3-none-any.whl + hash: + sha256: a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c + category: main + optional: false +- name: isoduration + version: 20.11.0 + manager: pip + platform: linux-64 + dependencies: + arrow: '>=0.15.0' + url: https://files.pythonhosted.org/packages/7b/55/e5326141505c5d5e34c5e0935d2908a74e4561eca44108fbfb9c13d2911a/isoduration-20.11.0-py3-none-any.whl + hash: + sha256: b2904c2a4228c3d44f409c8ae8e2370eb21a26f7ac2ec5446df141dde3452042 + category: main + optional: false +- name: isort + version: 5.13.2 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/d1/b3/8def84f539e7d2289a02f0524b944b15d7c75dab7628bedf1c4f0992029c/isort-5.13.2-py3-none-any.whl + hash: + sha256: 8ca5e72a8d85860d5a3fa69b8745237f2939afe12dbf656afbcb47fe72d947a6 + category: main + optional: false +- name: jedi + version: 0.19.2 + manager: pip + platform: linux-64 + dependencies: + parso: '>=0.8.4,<0.9.0' + url: https://files.pythonhosted.org/packages/c0/5a/9cac0c82afec3d09ccd97c8b6502d48f165f9124db81b4bcb90b4af974ee/jedi-0.19.2-py2.py3-none-any.whl + hash: + sha256: a8ef22bde8490f57fe5c7681a3c83cb58874daf72b4784de3cce5b6ef6edb5b9 + category: main + optional: false +- name: jinja2 + version: 3.1.6 + manager: pip + platform: linux-64 + dependencies: + markupsafe: '>=2.0' + url: https://files.pythonhosted.org/packages/62/a1/3d680cbfd5f4b8f15abc1d571870c5fc3e594bb582bc3b64ea099db13e56/jinja2-3.1.6-py3-none-any.whl + hash: + sha256: 85ece4451f492d0c13c5dd7c13a64681a86afae63a5f347908daf103ce6d2f67 + category: main + optional: false +- name: json5 + version: 0.10.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/aa/42/797895b952b682c3dafe23b1834507ee7f02f4d6299b65aaa61425763278/json5-0.10.0-py3-none-any.whl + hash: + sha256: 19b23410220a7271e8377f81ba8aacba2fdd56947fbb137ee5977cbe1f5e8dfa + category: main + optional: false +- name: jsonpointer + version: 3.0.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/71/92/5e77f98553e9e75130c78900d000368476aed74276eb8ae8796f65f00918/jsonpointer-3.0.0-py2.py3-none-any.whl + hash: + sha256: 13e088adc14fca8b6aa8177c044e12701e6ad4b28ff10e65f2267a90109c9942 + category: main + optional: false +- name: jsonschema + version: 4.23.0 + manager: pip + platform: linux-64 + dependencies: + attrs: '>=22.2.0' + jsonschema-specifications: '>=2023.03.6' + referencing: '>=0.28.4' + rpds-py: '>=0.7.1' + fqdn: '*' + idna: '*' + isoduration: '*' + jsonpointer: '>1.13' + rfc3339-validator: '*' + rfc3986-validator: '>0.1.0' + uri-template: '*' + webcolors: '>=24.6.0' + url: https://files.pythonhosted.org/packages/69/4a/4f9dbeb84e8850557c02365a0eee0649abe5eb1d84af92a25731c6c0f922/jsonschema-4.23.0-py3-none-any.whl + hash: + sha256: fbadb6f8b144a8f8cf9f0b89ba94501d143e50411a1278633f56a7acf7fd5566 + category: main + optional: false +- name: jsonschema-specifications + version: 2024.10.1 + manager: pip + platform: linux-64 + dependencies: + referencing: '>=0.31.0' + url: https://files.pythonhosted.org/packages/d1/0f/8910b19ac0670a0f80ce1008e5e751c4a57e14d2c4c13a482aa6079fa9d6/jsonschema_specifications-2024.10.1-py3-none-any.whl + hash: + sha256: a09a0680616357d9a0ecf05c12ad234479f549239d0f5b55f3deea67475da9bf + category: main + optional: false +- name: jupyter-client + version: 8.6.3 + manager: pip + platform: linux-64 + dependencies: + jupyter-core: '>=4.12,<5.0.0 || >=5.1.0' + python-dateutil: '>=2.8.2' + pyzmq: '>=23.0' + tornado: '>=6.2' + traitlets: '>=5.3' + url: https://files.pythonhosted.org/packages/11/85/b0394e0b6fcccd2c1eeefc230978a6f8cb0c5df1e4cd3e7625735a0d7d1e/jupyter_client-8.6.3-py3-none-any.whl + hash: + sha256: e8a19cc986cc45905ac3362915f410f3af85424b4c0905e94fa5f2cb08e8f23f + category: main + optional: false +- name: jupyter-core + version: 5.7.2 + manager: pip + platform: linux-64 + dependencies: + platformdirs: '>=2.5' + traitlets: '>=5.3' + url: https://files.pythonhosted.org/packages/c9/fb/108ecd1fe961941959ad0ee4e12ee7b8b1477247f30b1fdfd83ceaf017f0/jupyter_core-5.7.2-py3-none-any.whl + hash: + sha256: 4f7315d2f6b4bcf2e3e7cb6e46772eba760ae459cd1f59d29eb57b0a01bd7409 + category: main + optional: false +- name: jupyter-events + version: 0.12.0 + manager: pip + platform: linux-64 + dependencies: + jsonschema: '>=4.18.0' + packaging: '*' + python-json-logger: '>=2.0.4' + pyyaml: '>=5.3' + referencing: '*' + rfc3339-validator: '*' + rfc3986-validator: '>=0.1.1' + traitlets: '>=5.3' + url: https://files.pythonhosted.org/packages/e2/48/577993f1f99c552f18a0428731a755e06171f9902fa118c379eb7c04ea22/jupyter_events-0.12.0-py3-none-any.whl + hash: + sha256: 6464b2fa5ad10451c3d35fabc75eab39556ae1e2853ad0c0cc31b656731a97fb + category: main + optional: false +- name: jupyter-lsp + version: 2.2.5 + manager: pip + platform: linux-64 + dependencies: + jupyter-server: '>=1.1.2' + url: https://files.pythonhosted.org/packages/07/e0/7bd7cff65594fd9936e2f9385701e44574fc7d721331ff676ce440b14100/jupyter_lsp-2.2.5-py3-none-any.whl + hash: + sha256: 45fbddbd505f3fbfb0b6cb2f1bc5e15e83ab7c79cd6e89416b248cb3c00c11da + category: main + optional: false +- name: jupyter-server + version: 2.15.0 + manager: pip + platform: linux-64 + dependencies: + anyio: '>=3.1.0' + argon2-cffi: '>=21.1' + jinja2: '>=3.0.3' + jupyter-client: '>=7.4.4' + jupyter-core: '>=4.12,<5.0.0 || >=5.1.0' + jupyter-events: '>=0.11.0' + jupyter-server-terminals: '>=0.4.4' + nbconvert: '>=6.4.4' + nbformat: '>=5.3.0' + overrides: '>=5.0' + packaging: '>=22.0' + prometheus-client: '>=0.9' + pyzmq: '>=24' + send2trash: '>=1.8.2' + terminado: '>=0.8.3' + tornado: '>=6.2.0' + traitlets: '>=5.6.0' + websocket-client: '>=1.7' + url: https://files.pythonhosted.org/packages/e2/a2/89eeaf0bb954a123a909859fa507fa86f96eb61b62dc30667b60dbd5fdaf/jupyter_server-2.15.0-py3-none-any.whl + hash: + sha256: 872d989becf83517012ee669f09604aa4a28097c0bd90b2f424310156c2cdae3 + category: main + optional: false +- name: jupyter-server-terminals + version: 0.5.3 + manager: pip + platform: linux-64 + dependencies: + terminado: '>=0.8.3' + url: https://files.pythonhosted.org/packages/07/2d/2b32cdbe8d2a602f697a649798554e4f072115438e92249624e532e8aca6/jupyter_server_terminals-0.5.3-py3-none-any.whl + hash: + sha256: 41ee0d7dc0ebf2809c668e0fc726dfaf258fcd3e769568996ca731b6194ae9aa + category: main + optional: false +- name: jupyterlab + version: 4.3.6 + manager: pip + platform: linux-64 + dependencies: + async-lru: '>=1.0.0' + httpx: '>=0.25.0' + ipykernel: '>=6.5.0' + jinja2: '>=3.0.3' + jupyter-core: '*' + jupyter-lsp: '>=2.0.0' + jupyter-server: '>=2.4.0,<3' + jupyterlab-server: '>=2.27.1,<3' + notebook-shim: '>=0.2' + packaging: '*' + tornado: '>=6.2.0' + traitlets: '*' + url: https://files.pythonhosted.org/packages/d7/be/422f69447dbd77ddd58251b0945382099fd740e99918a147142f1e852a9d/jupyterlab-4.3.6-py3-none-any.whl + hash: + sha256: fc9eb0455562a56a9bd6d2977cf090842f321fa1a298fcee9bf8c19de353d5fd + category: main + optional: false +- name: jupyterlab-pygments + version: 0.3.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/b1/dd/ead9d8ea85bf202d90cc513b533f9c363121c7792674f78e0d8a854b63b4/jupyterlab_pygments-0.3.0-py3-none-any.whl + hash: + sha256: 841a89020971da1d8693f1a99997aefc5dc424bb1b251fd6322462a1b8842780 + category: main + optional: false +- name: jupyterlab-server + version: 2.27.3 + manager: pip + platform: linux-64 + dependencies: + babel: '>=2.10' + jinja2: '>=3.0.3' + json5: '>=0.9.0' + jsonschema: '>=4.18.0' + jupyter-server: '>=1.21,<3' + packaging: '>=21.3' + requests: '>=2.31' + url: https://files.pythonhosted.org/packages/54/09/2032e7d15c544a0e3cd831c51d77a8ca57f7555b2e1b2922142eddb02a84/jupyterlab_server-2.27.3-py3-none-any.whl + hash: + sha256: e697488f66c3db49df675158a77b3b017520d772c6e1548c7d9bcc5df7944ee4 + category: main + optional: false +- name: kiwisolver + version: 1.4.8 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/3a/97/5edbed69a9d0caa2e4aa616ae7df8127e10f6586940aa683a496c2c280b9/kiwisolver-1.4.8-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 3a96c0e790ee875d65e340ab383700e2b4891677b7fcd30a699146f9384a2bb0 + category: main + optional: false +- name: llvmlite + version: 0.44.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/99/fe/d030f1849ebb1f394bb3f7adad5e729b634fb100515594aca25c354ffc62/llvmlite-0.44.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: c5d22c3bfc842668168a786af4205ec8e3ad29fb1bc03fd11fd48460d0df64c1 + category: main + optional: false +- name: locket + version: 1.0.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/db/bc/83e112abc66cd466c6b83f99118035867cecd41802f8d044638aa78a106e/locket-1.0.0-py2.py3-none-any.whl + hash: + sha256: b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3 + category: main + optional: false +- name: markupsafe + version: 3.0.2 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/f1/a4/aefb044a2cd8d7334c8a47d3fb2c9f328ac48cb349468cc31c20b539305f/MarkupSafe-3.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: a123e330ef0853c6e822384873bef7507557d8e4a082961e1defa947aa59ba84 + category: main + optional: false +- name: matplotlib + version: 3.10.1 + manager: pip + platform: linux-64 + dependencies: + contourpy: '>=1.0.1' + cycler: '>=0.10' + fonttools: '>=4.22.0' + kiwisolver: '>=1.3.1' + numpy: '>=1.23' + packaging: '>=20.0' + pillow: '>=8' + pyparsing: '>=2.3.1' + python-dateutil: '>=2.7' + url: https://files.pythonhosted.org/packages/40/b8/53fa08a5eaf78d3a7213fd6da1feec4bae14a81d9805e567013811ff0e85/matplotlib-3.10.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 0f69dc9713e4ad2fb21a1c30e37bd445d496524257dfda40ff4a8efb3604ab5c + category: main + optional: false +- name: matplotlib-inline + version: 0.1.7 + manager: pip + platform: linux-64 + dependencies: + traitlets: '*' + url: https://files.pythonhosted.org/packages/8f/8e/9ad090d3553c280a8060fbf6e24dc1c0c29704ee7d1c372f0c174aa59285/matplotlib_inline-0.1.7-py3-none-any.whl + hash: + sha256: df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca + category: main + optional: false +- name: mistune + version: 3.1.3 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/01/4d/23c4e4f09da849e127e9f123241946c23c1e30f45a88366879e064211815/mistune-3.1.3-py3-none-any.whl + hash: + sha256: 1a32314113cff28aa6432e99e522677c8587fd83e3d51c29b82a52409c842bd9 + category: main + optional: false +- name: mypy-extensions + version: 1.0.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/2a/e2/5d3f6ada4297caebe1a2add3b126fe800c96f56dbe5d1988a2cbe0b267aa/mypy_extensions-1.0.0-py3-none-any.whl + hash: + sha256: 4392f6c0eb8a5668a69e23d168ffa70f0be9ccfd32b5cc2d26a34ae5b844552d + category: main + optional: false +- name: nbclient + version: 0.10.2 + manager: pip + platform: linux-64 + dependencies: + jupyter-client: '>=6.1.12' + jupyter-core: '>=4.12,<5.0.0 || >=5.1.0' + nbformat: '>=5.1' + traitlets: '>=5.4' + url: https://files.pythonhosted.org/packages/34/6d/e7fa07f03a4a7b221d94b4d586edb754a9b0dc3c9e2c93353e9fa4e0d117/nbclient-0.10.2-py3-none-any.whl + hash: + sha256: 4ffee11e788b4a27fabeb7955547e4318a5298f34342a4bfd01f2e1faaeadc3d + category: main + optional: false +- name: nbconvert + version: 7.16.6 + manager: pip + platform: linux-64 + dependencies: + beautifulsoup4: '*' + bleach: '!=5.0.0' + defusedxml: '*' + jinja2: '>=3.0' + jupyter-core: '>=4.7' + jupyterlab-pygments: '*' + markupsafe: '>=2.0' + mistune: '>=2.0.3,<4' + nbclient: '>=0.5.0' + nbformat: '>=5.7' + packaging: '*' + pandocfilters: '>=1.4.1' + pygments: '>=2.4.1' + traitlets: '>=5.1' + url: https://files.pythonhosted.org/packages/cc/9a/cd673b2f773a12c992f41309ef81b99da1690426bd2f96957a7ade0d3ed7/nbconvert-7.16.6-py3-none-any.whl + hash: + sha256: 1375a7b67e0c2883678c48e506dc320febb57685e5ee67faa51b18a90f3a712b + category: main + optional: false +- name: nbformat + version: 5.10.4 + manager: pip + platform: linux-64 + dependencies: + fastjsonschema: '>=2.15' + jsonschema: '>=2.6' + jupyter-core: '>=4.12,<5.0.0 || >=5.1.0' + traitlets: '>=5.1' + url: https://files.pythonhosted.org/packages/a9/82/0340caa499416c78e5d8f5f05947ae4bc3cba53c9f038ab6e9ed964e22f1/nbformat-5.10.4-py3-none-any.whl + hash: + sha256: 3b48d6c8fbca4b299bf3982ea7db1af21580e4fec269ad087b9e81588891200b + category: main + optional: false +- name: nest-asyncio + version: 1.6.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/a0/c4/c2971a3ba4c6103a3d10c4b0f24f461ddc027f0f09763220cf35ca1401b3/nest_asyncio-1.6.0-py3-none-any.whl + hash: + sha256: 87af6efd6b5e897c81050477ef65c62e2b2f35d51703cae01aff2905b1852e1c + category: main + optional: false +- name: netcdf4 + version: 1.7.2 + manager: pip + platform: linux-64 + dependencies: + cftime: '*' + certifi: '*' + numpy: '*' + url: https://files.pythonhosted.org/packages/18/c1/7e564dbd28228ba4a35a272bf53b9a2e8b0ba9ac06b2c84b57c03c84e87b/netCDF4-1.7.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 902aa50d70f49d002d896212a171d344c38f7b8ca520837c56c922ac1535c4a3 + category: main + optional: false +- name: nodeenv + version: 1.9.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/d2/1d/1b658dbd2b9fa9c4c9f32accbfc0205d532c8c6194dc0f2a4c0428e7128a/nodeenv-1.9.1-py2.py3-none-any.whl + hash: + sha256: ba11c9782d29c27c70ffbdda2d7415098754709be8a7056d79a737cd901155c9 + category: main + optional: false +- name: notebook + version: 7.3.3 + manager: pip + platform: linux-64 + dependencies: + jupyter-server: '>=2.4.0,<3' + jupyterlab-server: '>=2.27.1,<3' + jupyterlab: '>=4.3.6,<4.4' + notebook-shim: '>=0.2,<0.3' + tornado: '>=6.2.0' + url: https://files.pythonhosted.org/packages/f2/bf/5e5fcf79c559600b738d7577c8360bfd4cfa705400af06f23b3a049e44b6/notebook-7.3.3-py3-none-any.whl + hash: + sha256: b193df0878956562d5171c8e25c9252b8e86c9fcc16163b8ee3fe6c5e3f422f7 + category: main + optional: false +- name: notebook-shim + version: 0.2.4 + manager: pip + platform: linux-64 + dependencies: + jupyter-server: '>=1.8,<3' + url: https://files.pythonhosted.org/packages/f9/33/bd5b9137445ea4b680023eb0469b2bb969d61303dedb2aac6560ff3d14a1/notebook_shim-0.2.4-py3-none-any.whl + hash: + sha256: 411a5be4e9dc882a074ccbcae671eda64cceb068767e9a3419096986560e1cef + category: main + optional: false +- name: numba + version: 0.61.0 + manager: pip + platform: linux-64 + dependencies: + llvmlite: '>=0.44.0dev0,<0.45' + numpy: '>=1.24,<2.2' + url: https://files.pythonhosted.org/packages/14/91/18b9f64b34ff318a14d072251480547f89ebfb864b2b7168e5dc5f64f502/numba-0.61.0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl + hash: + sha256: 21c2fe25019267a608e2710a6a947f557486b4b0478b02e45a81cf606a05a7d4 + category: main + optional: false +- name: numpy + version: 2.1.3 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/7a/f0/80811e836484262b236c684a75dfc4ba0424bc670e765afaa911468d9f39/numpy-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: bc6f24b3d1ecc1eebfbf5d6051faa49af40b03be1aaa781ebdadcbc090b4539b + category: main + optional: false +- name: overrides + version: 7.7.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/2c/ab/fc8290c6a4c722e5514d80f62b2dc4c4df1a68a41d1364e625c35990fcf3/overrides-7.7.0-py3-none-any.whl + hash: + sha256: c7ed9d062f78b8e4c1a7b70bd8796b35ead4d9f510227ef9c5dc7626c60d7e49 + category: main + optional: false +- name: packaging + version: '24.2' + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/88/ef/eb23f262cca3c0c4eb7ab1933c3b1f03d021f2c48f54763065b6f0e321be/packaging-24.2-py3-none-any.whl + hash: + sha256: 09abb1bccd265c01f4a3aa3f7a7db064b36514d2cba19a2f694fe6150451a759 + category: main + optional: false +- name: pandas + version: 2.2.3 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.23.2' + python-dateutil: '>=2.8.2' + pytz: '>=2020.1' + tzdata: '>=2022.7' + url: https://files.pythonhosted.org/packages/cd/5f/4dba1d39bb9c38d574a9a22548c540177f78ea47b32f99c0ff2ec499fac5/pandas-2.2.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: c124333816c3a9b03fbeef3a9f230ba9a737e9e5bb4060aa2107a86cc0a497fc + category: main + optional: false +- name: pandocfilters + version: 1.5.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/ef/af/4fbc8cab944db5d21b7e2a5b8e9211a03a79852b1157e2c102fcc61ac440/pandocfilters-1.5.1-py2.py3-none-any.whl + hash: + sha256: 93be382804a9cdb0a7267585f157e5d1731bbe5545a85b268d6f5fe6232de2bc + category: main + optional: false +- name: parso + version: 0.8.4 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/c6/ac/dac4a63f978e4dcb3c6d3a78c4d8e0192a113d288502a1216950c41b1027/parso-0.8.4-py2.py3-none-any.whl + hash: + sha256: a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18 + category: main + optional: false +- name: partd + version: 1.4.2 + manager: pip + platform: linux-64 + dependencies: + locket: '*' + toolz: '*' + url: https://files.pythonhosted.org/packages/71/e7/40fb618334dcdf7c5a316c0e7343c5cd82d3d866edc100d98e29bc945ecd/partd-1.4.2-py3-none-any.whl + hash: + sha256: 978e4ac767ec4ba5b86c6eaa52e5a2a3bc748a2ca839e8cc798f1cc6ce6efb0f + category: main + optional: false +- name: pathspec + version: 0.12.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/cc/20/ff623b09d963f88bfde16306a54e12ee5ea43e9b597108672ff3a408aad6/pathspec-0.12.1-py3-none-any.whl + hash: + sha256: a0d503e138a4c123b27490a4f7beda6a01c6f288df0e4a8b79c7eb0dc7b4cc08 + category: main + optional: false +- name: pexpect + version: 4.9.0 + manager: pip + platform: linux-64 + dependencies: + ptyprocess: '>=0.5' + url: https://files.pythonhosted.org/packages/9e/c3/059298687310d527a58bb01f3b1965787ee3b40dce76752eda8b44e9a2c5/pexpect-4.9.0-py2.py3-none-any.whl + hash: + sha256: 7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523 + category: main + optional: false +- name: pillow + version: 11.1.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/48/a4/fbfe9d5581d7b111b28f1d8c2762dee92e9821bb209af9fa83c940e507a0/pillow-11.1.0-cp311-cp311-manylinux_2_28_x86_64.whl + hash: + sha256: 837060a8599b8f5d402e97197d4924f05a2e0d68756998345c829c33186217b1 + category: main + optional: false +- name: platformdirs + version: 4.3.7 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/6d/45/59578566b3275b8fd9157885918fcd0c4d74162928a5310926887b856a51/platformdirs-4.3.7-py3-none-any.whl + hash: + sha256: a03875334331946f13c549dbd8f4bac7a13a50a895a0eb1e8c6a8ace80d40a94 + category: main + optional: false +- name: pre-commit + version: 4.2.0 + manager: pip + platform: linux-64 + dependencies: + cfgv: '>=2.0.0' + identify: '>=1.0.0' + nodeenv: '>=0.11.1' + pyyaml: '>=5.1' + virtualenv: '>=20.10.0' + url: https://files.pythonhosted.org/packages/88/74/a88bf1b1efeae488a0c0b7bdf71429c313722d1fc0f377537fbe554e6180/pre_commit-4.2.0-py2.py3-none-any.whl + hash: + sha256: a009ca7205f1eb497d10b845e52c838a98b6cdd2102a6c8e4540e94ee75c58bd + category: main + optional: false +- name: prometheus-client + version: 0.21.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/ff/c2/ab7d37426c179ceb9aeb109a85cda8948bb269b7561a0be870cc656eefe4/prometheus_client-0.21.1-py3-none-any.whl + hash: + sha256: 594b45c410d6f4f8888940fe80b5cc2521b305a1fafe1c58609ef715a001f301 + category: main + optional: false +- name: prompt-toolkit + version: 3.0.50 + manager: pip + platform: linux-64 + dependencies: + wcwidth: '*' + url: https://files.pythonhosted.org/packages/e4/ea/d836f008d33151c7a1f62caf3d8dd782e4d15f6a43897f64480c2b8de2ad/prompt_toolkit-3.0.50-py3-none-any.whl + hash: + sha256: 9b6427eb19e479d98acff65196a307c555eb567989e6d88ebbb1b509d9779198 + category: main + optional: false +- name: psutil + version: 7.0.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/bf/b9/b0eb3f3cbcb734d930fdf839431606844a825b23eaf9a6ab371edac8162c/psutil-7.0.0-cp36-abi3-manylinux_2_12_x86_64.manylinux2010_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 4b1388a4f6875d7e2aff5c4ca1cc16c545ed41dd8bb596cefea80111db353a34 + category: main + optional: false +- name: ptyprocess + version: 0.7.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/22/a6/858897256d0deac81a172289110f31629fc4cee19b6f01283303e18c8db3/ptyprocess-0.7.0-py2.py3-none-any.whl + hash: + sha256: 4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35 + category: main + optional: false +- name: pure-eval + version: 0.2.3 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/8e/37/efad0257dc6e593a18957422533ff0f87ede7c9c6ea010a2177d738fb82f/pure_eval-0.2.3-py3-none-any.whl + hash: + sha256: 1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0 + category: main + optional: false +- name: pycparser + version: '2.22' + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/13/a3/a812df4e2dd5696d1f351d58b8fe16a405b234ad2886a0dab9183fb78109/pycparser-2.22-py3-none-any.whl + hash: + sha256: c3702b6d3dd8c7abc1afa565d7e63d53a1d0bd86cdc24edd75470f4de499cfcc + category: main + optional: false +- name: pygments + version: 2.19.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/8a/0b/9fcc47d19c48b59121088dd6da2488a49d5f72dacf8262e2790a1d2c7d15/pygments-2.19.1-py3-none-any.whl + hash: + sha256: 9ea1544ad55cecf4b8242fab6dd35a93bbce657034b0611ee383099054ab6d8c + category: main + optional: false +- name: pyparsing + version: 3.2.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/1c/a7/c8a2d361bf89c0d9577c934ebb7421b25dc84bf3a8e3ac0a40aed9acc547/pyparsing-3.2.1-py3-none-any.whl + hash: + sha256: 506ff4f4386c4cec0590ec19e6302d3aedb992fdc02c761e90416f158dacf8e1 + category: main + optional: false +- name: python-dateutil + version: 2.9.0.post0 + manager: pip + platform: linux-64 + dependencies: + six: '>=1.5' + url: https://files.pythonhosted.org/packages/ec/57/56b9bcc3c9c6a792fcbaf139543cee77261f3651ca9da0c93f5c1221264b/python_dateutil-2.9.0.post0-py2.py3-none-any.whl + hash: + sha256: a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427 + category: main + optional: false +- name: python-json-logger + version: 3.3.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/08/20/0f2523b9e50a8052bc6a8b732dfc8568abbdc42010aef03a2d750bdab3b2/python_json_logger-3.3.0-py3-none-any.whl + hash: + sha256: dd980fae8cffb24c13caf6e158d3d61c0d6d22342f932cb6e9deedab3d35eec7 + category: main + optional: false +- name: pytz + version: '2025.1' + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/eb/38/ac33370d784287baa1c3d538978b5e2ea064d4c1b93ffbd12826c190dd10/pytz-2025.1-py2.py3-none-any.whl + hash: + sha256: 89dd22dca55b46eac6eda23b2d72721bf1bdfef212645d81513ef5d03038de57 + category: main + optional: false +- name: pyyaml + version: 6.0.2 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/75/e4/2c27590dfc9992f73aabbeb9241ae20220bd9452df27483b6e56d3975cc5/PyYAML-6.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 3ad2a3decf9aaba3d29c8f537ac4b243e36bef957511b4766cb0057d32b0be85 + category: main + optional: false +- name: pyzmq + version: 26.3.0 + manager: pip + platform: linux-64 + dependencies: + cffi: '*' + url: https://files.pythonhosted.org/packages/63/1a/81a31920d5113113ccd50271649dd2d0cfcfe46925d8f8a196fe560ed0e6/pyzmq-26.3.0-cp311-cp311-manylinux_2_28_x86_64.whl + hash: + sha256: c0b519fa2159c42272f8a244354a0e110d65175647e5185b04008ec00df9f079 + category: main + optional: false +- name: referencing + version: 0.36.2 + manager: pip + platform: linux-64 + dependencies: + attrs: '>=22.2.0' + rpds-py: '>=0.7.0' + typing-extensions: '>=4.4.0' + url: https://files.pythonhosted.org/packages/c1/b1/3baf80dc6d2b7bc27a95a67752d0208e410351e3feb4eb78de5f77454d8d/referencing-0.36.2-py3-none-any.whl + hash: + sha256: e8699adbbf8b5c7de96d8ffa0eb5c158b3beafce084968e2ea8bb08c6794dcd0 + category: main + optional: false +- name: requests + version: 2.32.3 + manager: pip + platform: linux-64 + dependencies: + charset-normalizer: '>=2,<4' + idna: '>=2.5,<4' + urllib3: '>=1.21.1,<3' + certifi: '>=2017.4.17' + url: https://files.pythonhosted.org/packages/f9/9b/335f9764261e915ed497fcdeb11df5dfd6f7bf257d4a6a2a686d80da4d54/requests-2.32.3-py3-none-any.whl + hash: + sha256: 70761cfe03c773ceb22aa2f671b4757976145175cdfca038c02654d061d6dcc6 + category: main + optional: false +- name: rfc3339-validator + version: 0.1.4 + manager: pip + platform: linux-64 + dependencies: + six: '*' + url: https://files.pythonhosted.org/packages/7b/44/4e421b96b67b2daff264473f7465db72fbdf36a07e05494f50300cc7b0c6/rfc3339_validator-0.1.4-py2.py3-none-any.whl + hash: + sha256: 24f6ec1eda14ef823da9e36ec7113124b39c04d50a4d3d3a3c2859577e7791fa + category: main + optional: false +- name: rfc3986-validator + version: 0.1.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/9e/51/17023c0f8f1869d8806b979a2bffa3f861f26a3f1a66b094288323fba52f/rfc3986_validator-0.1.1-py2.py3-none-any.whl + hash: + sha256: 2f235c432ef459970b4306369336b9d5dbdda31b510ca1e327636e01f528bfa9 + category: main + optional: false +- name: rpds-py + version: 0.23.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/5f/a7/e94cdb73411ae9c11414d3c7c9a6ad75d22ad4a8d094fb45a345ba9e3018/rpds_py-0.23.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: e768267cbe051dd8d1c5305ba690bb153204a09bf2e3de3ae530de955f5b5580 + category: main + optional: false +- name: scipy + version: 1.15.2 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.23.5,<2.5' + url: https://files.pythonhosted.org/packages/32/ea/564bacc26b676c06a00266a3f25fdfe91a9d9a2532ccea7ce6dd394541bc/scipy-1.15.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: 28a0d2c2075946346e4408b211240764759e0fabaeb08d871639b5f3b1aca8a0 + category: main + optional: false +- name: send2trash + version: 1.8.3 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/40/b0/4562db6223154aa4e22f939003cb92514c79f3d4dccca3444253fd17f902/Send2Trash-1.8.3-py3-none-any.whl + hash: + sha256: 0c31227e0bd08961c7665474a3d1ef7193929fedda4233843689baa056be46c9 + category: main + optional: false +- name: shapely + version: 2.0.7 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.14,<3' + url: https://files.pythonhosted.org/packages/0b/a5/2c8dbb0f383519771df19164e3bf3a8895d195d2edeab4b6040f176ee28e/shapely-2.0.7-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: e6d95703efaa64aaabf278ced641b888fc23d9c6dd71f8215091afd8a26a66e3 + category: main + optional: false +- name: six + version: 1.17.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/b7/ce/149a00dd41f10bc29e5921b496af8b574d8413afcd5e30dfa0ed46c2cc5e/six-1.17.0-py2.py3-none-any.whl + hash: + sha256: 4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 + category: main + optional: false +- name: sniffio + version: 1.3.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/e9/44/75a9c9421471a6c4805dbf2356f7c181a29c1879239abab1ea2cc8f38b40/sniffio-1.3.1-py3-none-any.whl + hash: + sha256: 2f6da418d1f1e0fddd844478f41680e794e6051915791a034ff65e5f100525a2 + category: main + optional: false +- name: soupsieve + version: '2.6' + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/d1/c2/fe97d779f3ef3b15f05c94a2f1e3d21732574ed441687474db9d342a7315/soupsieve-2.6-py3-none-any.whl + hash: + sha256: e72c4ff06e4fb6e4b5a9f0f55fe6e81514581fca1515028625d0f299c602ccc9 + category: main + optional: false +- name: sparse + version: 0.15.5 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.17' + scipy: '>=0.19' + numba: '>=0.49' + url: https://files.pythonhosted.org/packages/4f/37/fcb96b950a972dac48e0fc9e3c528130ca8d8d1e0f09e727df3c6342c7c8/sparse-0.15.5-py2.py3-none-any.whl + hash: + sha256: cf608731f8564916443427bca323fe118e8c25a712ddf02dbe7673a961139706 + category: main + optional: false +- name: stack-data + version: 0.6.3 + manager: pip + platform: linux-64 + dependencies: + executing: '>=1.2.0' + asttokens: '>=2.1.0' + pure-eval: '*' + url: https://files.pythonhosted.org/packages/f1/7b/ce1eafaf1a76852e2ec9b22edecf1daa58175c090266e9f6c64afcd81d91/stack_data-0.6.3-py3-none-any.whl + hash: + sha256: d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695 + category: main + optional: false +- name: terminado + version: 0.18.1 + manager: pip + platform: linux-64 + dependencies: + ptyprocess: '*' + tornado: '>=6.1.0' + url: https://files.pythonhosted.org/packages/6a/9e/2064975477fdc887e47ad42157e214526dcad8f317a948dee17e1659a62f/terminado-0.18.1-py3-none-any.whl + hash: + sha256: a4468e1b37bb318f8a86514f65814e1afc977cf29b3992a4500d9dd305dcceb0 + category: main + optional: false +- name: tinycss2 + version: 1.4.0 + manager: pip + platform: linux-64 + dependencies: + webencodings: '>=0.4' + url: https://files.pythonhosted.org/packages/e6/34/ebdc18bae6aa14fbee1a08b63c015c72b64868ff7dae68808ab500c492e2/tinycss2-1.4.0-py3-none-any.whl + hash: + sha256: 3a49cf47b7675da0b15d0c6e1df8df4ebd96e9394bb905a5775adb0d884c5289 + category: main + optional: false +- name: toolz + version: 1.0.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/03/98/eb27cc78ad3af8e302c9d8ff4977f5026676e130d28dd7578132a457170c/toolz-1.0.0-py3-none-any.whl + hash: + sha256: 292c8f1c4e7516bf9086f8850935c799a874039c8bcf959d47b600e4c44a6236 + category: main + optional: false +- name: tornado + version: 6.4.2 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/22/55/b78a464de78051a30599ceb6983b01d8f732e6f69bf37b4ed07f642ac0fc/tornado-6.4.2-cp38-abi3-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl + hash: + sha256: bca9eb02196e789c9cb5c3c7c0f04fb447dc2adffd95265b2c7223a8a615ccbf + category: main + optional: false +- name: traitlets + version: 5.14.3 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/00/c0/8f5d070730d7836adc9c9b6408dec68c6ced86b304a9b26a14df072a6e8c/traitlets-5.14.3-py3-none-any.whl + hash: + sha256: b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f + category: main + optional: false +- name: types-python-dateutil + version: 2.9.0.20241206 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/0f/b3/ca41df24db5eb99b00d97f89d7674a90cb6b3134c52fb8121b6d8d30f15c/types_python_dateutil-2.9.0.20241206-py3-none-any.whl + hash: + sha256: e248a4bc70a486d3e3ec84d0dc30eec3a5f979d6e7ee4123ae043eedbb987f53 + category: main + optional: false +- name: typing-extensions + version: 4.12.2 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/26/9f/ad63fc0248c5379346306f8668cda6e2e2e9c95e01216d2b8ffd9ff037d0/typing_extensions-4.12.2-py3-none-any.whl + hash: + sha256: 04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d + category: main + optional: false +- name: tzdata + version: '2025.1' + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/0f/dd/84f10e23edd882c6f968c21c2434fe67bd4a528967067515feca9e611e5e/tzdata-2025.1-py2.py3-none-any.whl + hash: + sha256: 7e127113816800496f027041c570f50bcd464a020098a3b6b199517772303639 + category: main + optional: false +- name: uri-template + version: 1.3.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/e7/00/3fca040d7cf8a32776d3d81a00c8ee7457e00f80c649f1e4a863c8321ae9/uri_template-1.3.0-py3-none-any.whl + hash: + sha256: a44a133ea12d44a0c0f06d7d42a52d71282e77e2f937d8abd5655b8d56fc1363 + category: main + optional: false +- name: urllib3 + version: 2.3.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/c8/19/4ec628951a74043532ca2cf5d97b7b14863931476d117c471e8e2b1eb39f/urllib3-2.3.0-py3-none-any.whl + hash: + sha256: 1cee9ad369867bfdbbb48b7dd50374c0967a0bb7710050facf0dd6911440e3df + category: main + optional: false +- name: virtualenv + version: 20.29.3 + manager: pip + platform: linux-64 + dependencies: + distlib: '>=0.3.7,<1' + filelock: '>=3.12.2,<4' + platformdirs: '>=3.9.1,<5' + url: https://files.pythonhosted.org/packages/c2/eb/c6db6e3001d58c6a9e67c74bb7b4206767caa3ccc28c6b9eaf4c23fb4e34/virtualenv-20.29.3-py3-none-any.whl + hash: + sha256: 3e3d00f5807e83b234dfb6122bf37cfadf4be216c53a49ac059d02414f819170 + category: main + optional: false +- name: wcwidth + version: 0.2.13 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/fd/84/fd2ba7aafacbad3c4201d395674fc6348826569da3c0937e75505ead3528/wcwidth-0.2.13-py2.py3-none-any.whl + hash: + sha256: 3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859 + category: main + optional: false +- name: webcolors + version: 24.11.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/60/e8/c0e05e4684d13459f93d312077a9a2efbe04d59c393bc2b8802248c908d4/webcolors-24.11.1-py3-none-any.whl + hash: + sha256: 515291393b4cdf0eb19c155749a096f779f7d909f7cceea072791cb9095b92e9 + category: main + optional: false +- name: webencodings + version: 0.5.1 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/f4/24/2a3e3df732393fed8b3ebf2ec078f05546de641fe1b667ee316ec1dcf3b7/webencodings-0.5.1-py2.py3-none-any.whl + hash: + sha256: a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 + category: main + optional: false +- name: websocket-client + version: 1.8.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/5a/84/44687a29792a70e111c5c477230a72c4b957d88d16141199bf9acb7537a3/websocket_client-1.8.0-py3-none-any.whl + hash: + sha256: 17b44cc997f5c498e809b22cdf2d9c7a9e71c02c8cc2b6c56e7c2d1239bfa526 + category: main + optional: false +- name: xarray + version: 2025.3.0 + manager: pip + platform: linux-64 + dependencies: + numpy: '>=1.24' + packaging: '>=23.2' + pandas: '>=2.1' + url: https://files.pythonhosted.org/packages/91/19/5dbac77ca82f009f8267d0e7cca4fd3be2a435d83ed98f6f8b9c5cb1747e/xarray-2025.3.0-py3-none-any.whl + hash: + sha256: 022b7eac5ebc26d70d34211de732ec1a15127a40455f9492acdde7fbe5bbf091 + category: main + optional: false +- name: xesmf + version: 0.8.8 + manager: pip + platform: linux-64 + dependencies: + cf-xarray: '>=0.5.1' + numba: '>=0.55.2' + numpy: '>=1.16' + shapely: '*' + sparse: '>=0.8.0' + xarray: '>=0.16.2' + url: https://files.pythonhosted.org/packages/ce/c6/e0ecd645ee8a47fd58d15929d7760fefb45b3399c3c228670aa05349b5d8/xesmf-0.8.8-py3-none-any.whl + hash: + sha256: aa9ba97aa17ff18cc50a94aed06121ea2a88f3fc54f425a8208c734466edf660 + category: main + optional: false +- name: zipp + version: 3.21.0 + manager: pip + platform: linux-64 + dependencies: {} + url: https://files.pythonhosted.org/packages/b7/1a/7e4798e9339adc931158c9d69ecc34f5e6791489d469f5e50ec15e35f458/zipp-3.21.0-py3-none-any.whl + hash: + sha256: ac1bbe05fd2991f160ebce24ffbac5f6d11d83dc90891255885223d42b3cd931 + category: main + optional: false diff --git a/continuous_integration/scripts/check_mccabe_complexity.sh b/continuous_integration/scripts/check_mccabe_complexity.sh new file mode 100755 index 0000000..c7e6766 --- /dev/null +++ b/continuous_integration/scripts/check_mccabe_complexity.sh @@ -0,0 +1,36 @@ +#!/bin/bash + +if [ -z "$1" ] || [ -z "$2" ]; then + echo "Error: You must specify a McCabe threshold and a directory to analyze." + echo "Usage: $0 " + exit 1 +fi + +threshold=$1 +directory=$2 + +if [ ! -d "$directory" ]; then + echo "Error: The directory '$directory' does not exist." + exit 1 +fi + +all_files_ok=true +for file in $(find "$directory" -name "*.py"); do + echo "Analyzing $file ..." + output=$(python -m mccabe --min "$threshold" "$file") + + if [ -n "$output" ]; then + echo "Error: McCabe complexity too high in $file" + echo "$output" + all_files_ok=false + fi +done + +if $all_files_ok; then + echo "✅ All files have McCabe scores less than or equal to $threshold. ✅" +else + echo "❌ Some files have a complexity higher than $threshold ❌" + exit 1 +fi + +exit 0 diff --git a/environment.yml b/environment.yml new file mode 100644 index 0000000..0559f93 --- /dev/null +++ b/environment.yml @@ -0,0 +1,215 @@ +name: lenapy_env +channels: + - pytorch + - conda-forge + - defaults + - https://repo.anaconda.com/pkgs/main + - https://repo.anaconda.com/pkgs/r +dependencies: + - _libgcc_mutex=0.1=conda_forge + - _openmp_mutex=4.5=2_gnu + - attr=2.5.1=h166bdaf_1 + - blosc=1.21.6=he440d0b_1 + - bzip2=1.0.8=h4bc722e_7 + - c-ares=1.34.4=hb9d3cd8_0 + - ca-certificates=2025.1.31=hbcca054_0 + - esmf=8.8.0=mpi_mpich_h7cf99a1_100 + - esmpy=8.8.0=pyhecae5ae_0 + - hdf4=4.2.15=h2a13503_7 + - hdf5=1.14.3=mpi_mpich_h7f58efa_9 + - icu=75.1=he02047a_0 + - keyutils=1.6.1=h166bdaf_0 + - krb5=1.21.3=h659f571_0 + - ld_impl_linux-64=2.43=h712a8e2_4 + - libaec=1.1.3=h59595ed_0 + - libblas=3.9.0=31_h59b9bed_openblas + - libcap=2.75=h39aace5_0 + - libcblas=3.9.0=31_he106b2a_openblas + - libcurl=8.12.1=h332b0f4_0 + - libedit=3.1.20250104=pl5321h7949ede_0 + - libev=4.33=hd590300_2 + - libexpat=2.6.4=h5888daf_0 + - libfabric=2.1.0=ha770c72_0 + - libfabric1=2.1.0=h14e6f36_0 + - libffi=3.4.6=h2dba641_0 + - libgcc=14.2.0=h767d61c_2 + - libgcc-ng=14.2.0=h69a702a_2 + - libgcrypt-lib=1.11.0=hb9d3cd8_2 + - libgfortran=14.2.0=h69a702a_2 + - libgfortran-ng=14.2.0=h69a702a_2 + - libgfortran5=14.2.0=hf1ad2bd_2 + - libgomp=14.2.0=h767d61c_2 + - libgpg-error=1.51=hbd13f7d_1 + - libhwloc=2.11.2=default_h0d58e46_1001 + - libiconv=1.18=h4ce23a2_1 + - libjpeg-turbo=3.0.0=hd590300_1 + - liblapack=3.9.0=31_h7ac8fdf_openblas + - liblzma=5.6.4=hb9d3cd8_0 + - libnetcdf=4.9.2=mpi_mpich_h761946e_14 + - libnghttp2=1.64.0=h161d5f1_0 + - libnl=3.11.0=hb9d3cd8_0 + - libnsl=2.0.1=hd590300_0 + - libopenblas=0.3.29=pthreads_h94d23a6_0 + - libpnetcdf=1.13.0=mpi_mpich_hdce4f7b_101 + - libsqlite=3.49.1=hee588c1_2 + - libssh2=1.11.1=hf672d98_0 + - libstdcxx=14.2.0=h8f9b012_2 + - libstdcxx-ng=14.2.0=h4852527_2 + - libsystemd0=257.4=h4e0b6ca_1 + - libudev1=257.4=hbe16f8c_1 + - libuuid=2.38.1=h0b41bf4_0 + - libxcrypt=4.4.36=hd590300_1 + - libxml2=2.13.6=h8d12d68_0 + - libzip=1.11.2=h6991a6a_0 + - libzlib=1.3.1=hb9d3cd8_2 + - lz4-c=1.10.0=h5888daf_1 + - mpi=1.0.1=mpich + - mpich=4.3.0=h1a8bee6_100 + - ncurses=6.5=h2d0b736_3 + - netcdf-fortran=4.6.1=mpi_mpich_h2e543cf_8 + - openssl=3.4.1=h7b32b05_0 + - parallelio=2.6.3=mpi_mpich_h43d51f9_100 + - pip=25.0.1=pyh8b19718_0 + - python=3.11.11=h9e4cc4f_2_cpython + - python_abi=3.11=5_cp311 + - rdma-core=56.0=h5888daf_0 + - readline=8.2=h8c095d6_2 + - setuptools=75.8.2=pyhff2d567_0 + - snappy=1.2.1=h8bd8927_1 + - tk=8.6.13=noxft_h4845f30_101 + - ucx=1.18.0=hfd9a62f_2 + - wheel=0.45.1=pyhd8ed1ab_1 + - zlib=1.3.1=hb9d3cd8_2 + - zstd=1.5.7=hb8e6e7a_2 + - pip: + - anyio==4.9.0 + - argon2-cffi==23.1.0 + - argon2-cffi-bindings==21.2.0 + - arrow==1.3.0 + - asttokens==3.0.0 + - async-lru==2.0.5 + - attrs==25.3.0 + - babel==2.17.0 + - beautifulsoup4==4.13.3 + - black==24.8.0 + - bleach==6.2.0 + - certifi==2025.1.31 + - cf-xarray==0.10.4 + - cffi==1.17.1 + - cfgv==3.4.0 + - cftime==1.6.4.post1 + - charset-normalizer==3.4.1 + - click==8.1.8 + - cloudpickle==3.1.1 + - comm==0.2.2 + - contourpy==1.3.1 + - cycler==0.12.1 + - dask==2025.2.0 + - debugpy==1.8.13 + - decorator==5.2.1 + - defusedxml==0.7.1 + - distlib==0.3.9 + - executing==2.2.0 + - fastjsonschema==2.21.1 + - filelock==3.18.0 + - fonttools==4.56.0 + - fqdn==1.5.1 + - fsspec==2025.3.0 + - gsw==3.6.19 + - h11==0.14.0 + - httpcore==1.0.7 + - httpx==0.28.1 + - identify==2.6.9 + - idna==3.10 + - importlib-metadata==8.6.1 + - ipykernel==6.29.5 + - ipython==9.0.2 + - ipython-pygments-lexers==1.1.1 + - isoduration==20.11.0 + - isort==5.13.2 + - jinja2==3.1.6 + - json5==0.10.0 + - jsonpointer==3.0.0 + - jsonschema==4.23.0 + - jsonschema-specifications==2024.10.1 + - jupyter-client==8.6.3 + - jupyter-core==5.7.2 + - jupyter-events==0.12.0 + - jupyter-lsp==2.2.5 + - jupyter-server==2.15.0 + - jupyter-server-terminals==0.5.3 + - jupyterlab==4.3.6 + - jupyterlab-pygments==0.3.0 + - jupyterlab-server==2.27.3 + - kiwisolver==1.4.8 + - llvmlite==0.44.0 + - locket==1.0.0 + - markupsafe==3.0.2 + - matplotlib==3.10.1 + - matplotlib-inline==0.1.7 + - mistune==3.1.3 + - mypy-extensions==1.0.0 + - nbclient==0.10.2 + - nbconvert==7.16.6 + - nbformat==5.10.4 + - nest-asyncio==1.6.0 + - netcdf4==1.7.2 + - nodeenv==1.9.1 + - notebook==7.3.3 + - notebook-shim==0.2.4 + - numba==0.61.0 + - numpy==2.1.3 + - overrides==7.7.0 + - packaging==24.2 + - pandas==2.2.3 + - pandocfilters==1.5.1 + - partd==1.4.2 + - pathspec==0.12.1 + - pexpect==4.9.0 + - pillow==11.1.0 + - platformdirs==4.3.7 + - pre-commit==4.2.0 + - prometheus-client==0.21.1 + - prompt-toolkit==3.0.50 + - psutil==7.0.0 + - ptyprocess==0.7.0 + - pure-eval==0.2.3 + - pycparser==2.22 + - pygments==2.19.1 + - pyparsing==3.2.1 + - python-dateutil==2.9.0.post0 + - python-json-logger==3.3.0 + - pytz==2025.1 + - pyyaml==6.0.2 + - pyzmq==26.3.0 + - referencing==0.36.2 + - requests==2.32.3 + - rfc3339-validator==0.1.4 + - rfc3986-validator==0.1.1 + - rpds-py==0.23.1 + - scipy==1.15.2 + - send2trash==1.8.3 + - shapely==2.0.7 + - six==1.17.0 + - sniffio==1.3.1 + - soupsieve==2.6 + - sparse==0.15.5 + - stack-data==0.6.3 + - terminado==0.18.1 + - tinycss2==1.4.0 + - toolz==1.0.0 + - tornado==6.4.2 + - traitlets==5.14.3 + - types-python-dateutil==2.9.0.20241206 + - typing-extensions==4.12.2 + - tzdata==2025.1 + - uri-template==1.3.0 + - urllib3==2.3.0 + - virtualenv==20.29.3 + - wcwidth==0.2.13 + - webcolors==24.11.1 + - webencodings==0.5.1 + - websocket-client==1.8.0 + - xarray==2025.3.0 + - xesmf==0.8.8 + - zipp==3.21.0 diff --git a/pyproject.toml b/pyproject.toml index e59d28b..1dd3f7d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,3 +1,49 @@ +[build-system] +requires = ["setuptools", "wheel"] +build-backend = "setuptools.build_meta" + +[project] +name = "lenapy" +version = "0.9" +description = "Second beta release of lenapy on github" +readme = "README.md" +authors = [ + { name = "Sebastien Fourest & EMC2 team", email = "sebastien.fourest@cnes.fr" } +] +license = { text = "GPL-3.0" } +requires-python = ">=3.7" +dependencies = [ + "matplotlib>=3.6", + "esmpy>=8.4.0", + "xesmf>=0.8.2", + "xarray>=2024.2", + "gsw>=3.6.16", + "netCDF4>=1.6.5", + "pyyaml>=6.0", + "dask>=2023.6", +] + +[tool.setuptools] +packages = [ + "lenapy", + "lenapy.utils", + "lenapy.readers", + "lenapy.writers", + "lenapy.plots", + "lenapy.resources", +] + +[tool.setuptools.package-data] +"lenapy.resources" = ["*"] + +[project.entry-points."xarray.backends"] +lenapyNetcdf = "lenapy.readers.geo_reader:lenapyNetcdf" +lenapyMask = "lenapy.readers.geo_reader:lenapyMask" +lenapyOceanProducts = "lenapy.readers.ocean:lenapyOceanProducts" +lenapyGfc = "lenapy.readers.gravi_reader:ReadGFC" +lenapyGraceL2 = "lenapy.readers.gravi_reader:ReadGRACEL2" +lenapyShLoading = "lenapy.readers.gravi_reader:ReadShLoading" + [tool.black] line-length = 88 target-version = ['py312'] @@ -5,3 +51,28 @@ target-version = ['py312'] [tool.isort] profile = "black" line_length = 88 + +[project.optional-dependencies] +formatter = [ + "black ==24.8.0", + "isort ==5.13.2", +] +test = [ + "pytest", + "pytest-cov", +] +doc = [ + "sphinx", +] +notebook = [ + "notebook ==7.3.3", + "myst-nb ==1.2.0" +] +quality = [ + "pylint", + "mccabe", +] +dev = [ + "pre-commit", + "lenapy[formatter, test, doc, notebook, quality]", +] From 405508e468b4f61913d40b3d0c23f2e98d7be26b Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Tue, 25 Mar 2025 11:40:50 +0100 Subject: [PATCH 02/37] test: add pytest fixture lenapy_paths --- tests/conftest.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 tests/conftest.py diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..76163ee --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,17 @@ +from dataclasses import dataclass +from pathlib import Path + +import pytest + + +@dataclass +class LenapyTestsPath: + project_dir: Path + + def __post_init__(self): + self.data = self.project_dir / "data" + + +@pytest.fixture +def lenapy_paths(request) -> LenapyTestsPath: + return LenapyTestsPath(Path(__file__).parent.parent) From 19c2e2e653285906d7b9f02e4a26904ffe42105e Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Tue, 25 Mar 2025 11:44:32 +0100 Subject: [PATCH 03/37] ci: check notebooks --- .gitlab-ci.yml | 9 + doc/tutorials/Tutorial_lnharmo.ipynb | 346 ++++++++++----------------- lenapy/plots/plotting.py | 10 +- pyproject.toml | 4 +- 4 files changed, 149 insertions(+), 220 deletions(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 9be42f8..1c8eff6 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -80,6 +80,15 @@ pytest: - ./.ci-reports/ expire_in: 1 day +test_notebooks: + stage: quality + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + script: + - source activate lenapy_env + - pip install -e .[test] + - pip install -e .[notebook] + - pytest --nbmake --nbmake-kernel=python3 doc/tutorials/ + pylint_analysis: stage: quality image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} diff --git a/doc/tutorials/Tutorial_lnharmo.ipynb b/doc/tutorials/Tutorial_lnharmo.ipynb index 7d02df3..d224421 100755 --- a/doc/tutorials/Tutorial_lnharmo.ipynb +++ b/doc/tutorials/Tutorial_lnharmo.ipynb @@ -3,7 +3,13 @@ { "cell_type": "markdown", "id": "4ec25494-49d2-45d8-b3c3-aa6a5a47632c", - "metadata": {}, + "metadata": { + "editable": true, + "slideshow": { + "slide_type": "" + }, + "tags": [] + }, "source": [ "# Lenapy for spherical harmonics and gravity data\n", "Lenapy includes functions to read and process spherical harmonics and gravity data.\n", @@ -20,16 +26,17 @@ "cell_type": "code", "execution_count": 1, "id": "bf0ea491-b215-42d8-9583-90f5935ce724", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:32:43.508449Z", - "iopub.status.busy": "2024-11-28T13:32:43.508192Z", - "iopub.status.idle": "2024-11-28T13:32:44.456444Z", - "shell.execute_reply": "2024-11-28T13:32:44.456079Z", - "shell.execute_reply.started": "2024-11-28T13:32:43.508427Z" + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/home/avincent/miniconda3/envs/pluto_lenapy/lib/python3.11/site-packages/esmpy/interface/loadESMF.py:94: VersionWarning: ESMF installation version 8.8.0, ESMPy version 8.8.0b0\n", + " warnings.warn(\"ESMF installation version {}, ESMPy version {}\".format(\n" + ] } - }, - "outputs": [], + ], "source": [ "import xarray as xr\n", "import lenapy\n", @@ -68,15 +75,7 @@ "cell_type": "code", "execution_count": 2, "id": "d287106d-dcfe-4552-a9c9-8ec5a7ab2bd1", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:32:47.012054Z", - "iopub.status.busy": "2024-11-28T13:32:47.011771Z", - "iopub.status.idle": "2024-11-28T13:32:47.049106Z", - "shell.execute_reply": "2024-11-28T13:32:47.048792Z", - "shell.execute_reply.started": "2024-11-28T13:32:47.012040Z" - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -111,14 +110,14 @@ " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", "}\n", "\n", - "html[theme=dark],\n", - "html[data-theme=dark],\n", - "body[data-theme=dark],\n", + "html[theme=\"dark\"],\n", + "html[data-theme=\"dark\"],\n", + "body[data-theme=\"dark\"],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", - " --xr-border-color: #1F1F1F;\n", + " --xr-border-color: #1f1f1f;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", @@ -173,6 +172,7 @@ ".xr-section-item input {\n", " display: inline-block;\n", " opacity: 0;\n", + " height: 0;\n", "}\n", "\n", ".xr-section-item input + label {\n", @@ -209,7 +209,7 @@ "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", - " content: '►';\n", + " content: \"►\";\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", @@ -220,7 +220,7 @@ "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", - " content: '▼';\n", + " content: \"▼\";\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", @@ -292,15 +292,15 @@ "}\n", "\n", ".xr-dim-list:before {\n", - " content: '(';\n", + " content: \"(\";\n", "}\n", "\n", ".xr-dim-list:after {\n", - " content: ')';\n", + " content: \")\";\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", - " content: ',';\n", + " content: \",\";\n", " padding-right: 5px;\n", "}\n", "\n", @@ -472,29 +472,29 @@ " tide_system: tide_free\n", " max_degree: 90\n", " errors: empirical\n", - " modelname: GSM-2_2002213-2002243_GRAC_COSTG_BF01_0100
  • product_name :
    GSM-2_2002213-2002243_GRAC_COSTG_BF01_0100
    earth_gravity_constant :
    398600441500000.0
    radius :
    6378136.3
    norm :
    4pi
    tide_system :
    tide_free
    max_degree :
    90
    errors :
    empirical
    modelname :
    GSM-2_2002213-2002243_GRAC_COSTG_BF01_0100
    • " ], "text/plain": [ " Size: 266kB\n", @@ -589,17 +589,9 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 3, "id": "87763e92-1798-4d55-9abf-4bc41c06a3a1", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:38:49.921173Z", - "iopub.status.busy": "2024-11-28T13:38:49.920354Z", - "iopub.status.idle": "2024-11-28T13:38:49.946142Z", - "shell.execute_reply": "2024-11-28T13:38:49.945199Z", - "shell.execute_reply.started": "2024-11-28T13:38:49.921131Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "# Dataset with COST-G months of GRACE and GRACE-FO\n", @@ -625,17 +617,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 4, "id": "44161857-e83d-491c-8dc3-552dc39e2aff", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:38:40.527548Z", - "iopub.status.busy": "2024-11-28T13:38:40.527049Z", - "iopub.status.idle": "2024-11-28T13:38:40.544976Z", - "shell.execute_reply": "2024-11-28T13:38:40.544311Z", - "shell.execute_reply.started": "2024-11-28T13:38:40.527516Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "from lenapy.readers.gravi_reader import read_tn14, read_tn13\n", @@ -657,31 +641,23 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 5, "id": "f5935aef-442b-4ce0-adca-374de3df3737", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:39:06.725213Z", - "iopub.status.busy": "2024-11-28T13:39:06.724865Z", - "iopub.status.idle": "2024-11-28T13:39:06.980400Z", - "shell.execute_reply": "2024-11-28T13:39:06.979703Z", - "shell.execute_reply.started": "2024-11-28T13:39:06.725185Z" - } - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 12, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -691,7 +667,7 @@ }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -803,17 +779,9 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 6, "id": "869ba935-328d-42e7-b8bd-15cd37ea5226", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:40:18.926687Z", - "iopub.status.busy": "2024-11-28T13:40:18.926218Z", - "iopub.status.idle": "2024-11-28T13:40:19.675685Z", - "shell.execute_reply": "2024-11-28T13:40:19.675301Z", - "shell.execute_reply.started": "2024-11-28T13:40:18.926659Z" - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -848,14 +816,14 @@ " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", "}\n", "\n", - "html[theme=dark],\n", - "html[data-theme=dark],\n", - "body[data-theme=dark],\n", + "html[theme=\"dark\"],\n", + "html[data-theme=\"dark\"],\n", + "body[data-theme=\"dark\"],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", - " --xr-border-color: #1F1F1F;\n", + " --xr-border-color: #1f1f1f;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", @@ -910,6 +878,7 @@ ".xr-section-item input {\n", " display: inline-block;\n", " opacity: 0;\n", + " height: 0;\n", "}\n", "\n", ".xr-section-item input + label {\n", @@ -946,7 +915,7 @@ "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", - " content: 'â–ş';\n", + " content: \"â–ş\";\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", @@ -957,7 +926,7 @@ "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", - " content: 'â–Ľ';\n", + " content: \"â–Ľ\";\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", @@ -1029,15 +998,15 @@ "}\n", "\n", ".xr-dim-list:before {\n", - " content: '(';\n", + " content: \"(\";\n", "}\n", "\n", ".xr-dim-list:after {\n", - " content: ')';\n", + " content: \")\";\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", - " content: ',';\n", + " content: \",\";\n", " padding-right: 5px;\n", "}\n", "\n", @@ -1237,7 +1206,7 @@ " units: mewh\n", " max_degree: 12\n", " radius: 6378136.3\n", - " earth_gravity_constant: 398600441500000.0
  • units :
    mewh
    max_degree :
    12
    radius :
    6378136.3
    earth_gravity_constant :
    398600441500000.0
    • " ], "text/plain": [ " Size: 112MB\n", @@ -1372,7 +1341,7 @@ " earth_gravity_constant: 398600441500000.0" ] }, - "execution_count": 13, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1403,31 +1372,23 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 7, "id": "afc5b250-fa4f-4b11-8cbb-bf310e7e700e", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:40:22.960176Z", - "iopub.status.busy": "2024-11-28T13:40:22.959645Z", - "iopub.status.idle": "2024-11-28T13:40:23.130075Z", - "shell.execute_reply": "2024-11-28T13:40:23.129522Z", - "shell.execute_reply.started": "2024-11-28T13:40:22.960144Z" - } - }, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 14, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -1457,39 +1418,46 @@ }, { "cell_type": "code", - "execution_count": 15, - "id": "6f6f678f-68c5-4f4d-84b2-602287462da0", + "execution_count": 8, + "id": "40538476-ce0b-4033-8f4d-3f4832ac4c56", + "metadata": {}, + "outputs": [], + "source": [ + "# create grid with residual values\n", + "grid_residual = (ds - ds.mean(dim='time')).isel(time=0).lnharmo.to_grid()" + ] + }, + { + "cell_type": "markdown", + "id": "b77c6a53-8108-478d-aedf-76b906b3b7de", + "metadata": {}, + "source": [ + "You can then visualise the result" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "330f9cd5-ff20-437c-ad19-2510698843a0", "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:40:25.538534Z", - "iopub.status.busy": "2024-11-28T13:40:25.538141Z", - "iopub.status.idle": "2024-11-28T13:40:27.012996Z", - "shell.execute_reply": "2024-11-28T13:40:27.012700Z", - "shell.execute_reply.started": "2024-11-28T13:40:25.538505Z" - } + "tags": [ + "skip-execution" + ] }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 15, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/hugolecomte/anaconda3/envs/legos/lib/python3.11/site-packages/cartopy/io/__init__.py:241: DownloadWarning: Downloading: https://naturalearth.s3.amazonaws.com/110m_physical/ne_110m_coastline.zip\n", - " warnings.warn(f'Downloading: {url}', DownloadWarning)\n" - ] - }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -1499,9 +1467,6 @@ } ], "source": [ - "# create grid with residual values\n", - "grid_residual = (ds - ds.mean(dim='time')).isel(time=0).lnharmo.to_grid()\n", - "\n", "fig, axis = plt.subplots(1, 1, subplot_kw=dict(projection=ccrs.PlateCarree()))\n", "grid_residual.plot(transform=ccrs.PlateCarree(), cbar_kwargs={'shrink': 0.7})\n", "axis.coastlines()" @@ -1522,17 +1487,9 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 10, "id": "10591840-eb52-46f4-b890-15de7eda5da4", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:40:38.758803Z", - "iopub.status.busy": "2024-11-28T13:40:38.758445Z", - "iopub.status.idle": "2024-11-28T13:40:38.854156Z", - "shell.execute_reply": "2024-11-28T13:40:38.853712Z", - "shell.execute_reply.started": "2024-11-28T13:40:38.758775Z" - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -1567,14 +1524,14 @@ " --xr-background-color-row-odd: var(--jp-layout-color2, #eeeeee);\n", "}\n", "\n", - "html[theme=dark],\n", - "html[data-theme=dark],\n", - "body[data-theme=dark],\n", + "html[theme=\"dark\"],\n", + "html[data-theme=\"dark\"],\n", + "body[data-theme=\"dark\"],\n", "body.vscode-dark {\n", " --xr-font-color0: rgba(255, 255, 255, 1);\n", " --xr-font-color2: rgba(255, 255, 255, 0.54);\n", " --xr-font-color3: rgba(255, 255, 255, 0.38);\n", - " --xr-border-color: #1F1F1F;\n", + " --xr-border-color: #1f1f1f;\n", " --xr-disabled-color: #515151;\n", " --xr-background-color: #111111;\n", " --xr-background-color-row-even: #111111;\n", @@ -1629,6 +1586,7 @@ ".xr-section-item input {\n", " display: inline-block;\n", " opacity: 0;\n", + " height: 0;\n", "}\n", "\n", ".xr-section-item input + label {\n", @@ -1665,7 +1623,7 @@ "\n", ".xr-section-summary-in + label:before {\n", " display: inline-block;\n", - " content: 'â–ş';\n", + " content: \"â–ş\";\n", " font-size: 11px;\n", " width: 15px;\n", " text-align: center;\n", @@ -1676,7 +1634,7 @@ "}\n", "\n", ".xr-section-summary-in:checked + label:before {\n", - " content: 'â–Ľ';\n", + " content: \"â–Ľ\";\n", "}\n", "\n", ".xr-section-summary-in:checked + label > span {\n", @@ -1748,15 +1706,15 @@ "}\n", "\n", ".xr-dim-list:before {\n", - " content: '(';\n", + " content: \"(\";\n", "}\n", "\n", ".xr-dim-list:after {\n", - " content: ')';\n", + " content: \")\";\n", "}\n", "\n", ".xr-dim-list li:not(:last-child):after {\n", - " content: ',';\n", + " content: \",\";\n", " padding-right: 5px;\n", "}\n", "\n", @@ -1919,13 +1877,13 @@ " gm_earth: 398600441500000.0\n", " a_earth: 6378137.0\n", " max_degree: 60\n", - " norm: 4pi
  • gm_earth :
    398600441500000.0
    a_earth :
    6378137.0
    max_degree :
    60
    norm :
    4pi
    • " ], "text/plain": [ " Size: 61kB\n", @@ -1976,7 +1934,7 @@ " norm: 4pi" ] }, - "execution_count": 16, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -2003,17 +1961,9 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 11, "id": "3017d7e3-4b33-49c9-9c82-59bb22051e0e", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:40:45.375986Z", - "iopub.status.busy": "2024-11-28T13:40:45.375668Z", - "iopub.status.idle": "2024-11-28T13:40:45.412088Z", - "shell.execute_reply": "2024-11-28T13:40:45.411760Z", - "shell.execute_reply.started": "2024-11-28T13:40:45.375960Z" - } - }, + "metadata": {}, "outputs": [], "source": [ "ds_sum = ds.isel(time=slice(0)).lnharmo + ds.isel(time=slice(1))\n", @@ -2037,17 +1987,9 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 12, "id": "2ae20baf-44ba-4c4c-9e24-93eeffb932b5", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:40:47.236170Z", - "iopub.status.busy": "2024-11-28T13:40:47.235746Z", - "iopub.status.idle": "2024-11-28T13:40:47.336649Z", - "shell.execute_reply": "2024-11-28T13:40:47.336270Z", - "shell.execute_reply.started": "2024-11-28T13:40:47.236136Z" - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -2055,13 +1997,13 @@ "Text(0.5, 1.0, '$C_{2,0}$')" ] }, - "execution_count": 18, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -2089,21 +2031,13 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 13, "id": "eb19637e-24cb-4f62-aedb-801b9876ca44", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:41:00.192851Z", - "iopub.status.busy": "2024-11-28T13:41:00.191986Z", - "iopub.status.idle": "2024-11-28T13:41:00.351660Z", - "shell.execute_reply": "2024-11-28T13:41:00.350984Z", - "shell.execute_reply.started": "2024-11-28T13:41:00.192814Z" - } - }, + "metadata": {}, "outputs": [ { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -2135,17 +2069,9 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 14, "id": "f11d32a7-d9a7-4110-9317-3621a70570d0", - "metadata": { - "execution": { - "iopub.execute_input": "2024-11-28T13:42:47.452392Z", - "iopub.status.busy": "2024-11-28T13:42:47.452003Z", - "iopub.status.idle": "2024-11-28T13:42:47.583567Z", - "shell.execute_reply": "2024-11-28T13:42:47.583314Z", - "shell.execute_reply.started": "2024-11-28T13:42:47.452363Z" - } - }, + "metadata": {}, "outputs": [ { "data": { @@ -2153,13 +2079,13 @@ "Text(0.5, 1.0, 'Degree power spectrum')" ] }, - "execution_count": 26, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": "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", + "image/png": "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", "text/plain": [ "
    " ] @@ -2193,20 +2119,12 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 15, "id": "3ada73e7-ff39-427f-8a6c-fe74ef9437e7", - "metadata": { - "execution": { - "iopub.execute_input": "2024-05-02T14:59:36.368294Z", - "iopub.status.busy": "2024-05-02T14:59:36.367898Z", - "iopub.status.idle": "2024-05-02T14:59:55.095764Z", - "shell.execute_reply": "2024-05-02T14:59:55.095395Z", - "shell.execute_reply.started": "2024-05-02T14:59:36.368262Z" - } - }, + "metadata": {}, "outputs": [], "source": [ - "example_path = '/tmp/test.gfc'\n", + "example_path = 'tmp/test.gfc'\n", "\n", "# Write the spherical harmonics data of the first time slice to a .gfc file\n", "ds.isel(time=0).lnharmo.to_gfc(example_path)" @@ -2229,7 +2147,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.8" + "version": "3.11.11" }, "scenes_data": { "active_scene": "Default Scene", diff --git a/lenapy/plots/plotting.py b/lenapy/plots/plotting.py index 6a4aafa..cdb4cbb 100644 --- a/lenapy/plots/plotting.py +++ b/lenapy/plots/plotting.py @@ -506,18 +506,18 @@ def plot_hs( cbar_kwargs.setdefault("cax", cbar_ax) # -- Creation of the array for matshow with clm and slm - mat = np.zeros((lmax + 1, 2 * lmax + 1)) * np.NaN + mat = np.zeros((lmax + 1, 2 * lmax + 1)) * np.nan i, j = np.tril_indices(lmax + 1) # set slm before clm to plot order 0 coefficient of clm mat[i, lmax - j] = ( - ds.slm.where(ds.l >= lmin, np.NaN) - .where(np.logical_and(ds.m >= mmin, ds.m <= mmax), np.NaN) + ds.slm.where(ds.l >= lmin, np.nan) + .where(np.logical_and(ds.m >= mmin, ds.m <= mmax), np.nan) .isel(l=xr.DataArray(i, dims="tril"), m=xr.DataArray(j, dims="tril")) ).values mat[i, lmax + j] = ( - ds.clm.where(ds.l >= lmin, np.NaN) - .where(np.logical_and(ds.m >= mmin, ds.m <= mmax), np.NaN) + ds.clm.where(ds.l >= lmin, np.nan) + .where(np.logical_and(ds.m >= mmin, ds.m <= mmax), np.nan) .isel(l=xr.DataArray(i, dims="tril"), m=xr.DataArray(j, dims="tril")) .values ) diff --git a/pyproject.toml b/pyproject.toml index 1dd3f7d..6df2fac 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -60,13 +60,15 @@ formatter = [ test = [ "pytest", "pytest-cov", + "nbmake", ] doc = [ "sphinx", ] notebook = [ "notebook ==7.3.3", - "myst-nb ==1.2.0" + "myst-nb ==1.2.0", + "cartopy" ] quality = [ "pylint", From 85d60d9296ccd06a81de983c469f6151f2c0f28e Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 26 Mar 2025 13:21:49 +0100 Subject: [PATCH 04/37] test: start adding tests --- tests/readers/test_gravi_reader.py | 11 +++++++++++ 1 file changed, 11 insertions(+) create mode 100644 tests/readers/test_gravi_reader.py diff --git a/tests/readers/test_gravi_reader.py b/tests/readers/test_gravi_reader.py new file mode 100644 index 0000000..a196bf7 --- /dev/null +++ b/tests/readers/test_gravi_reader.py @@ -0,0 +1,11 @@ +from lenapy.readers.gravi_reader import read_tn14 + + +def test_read_tn14(lenapy_paths): + # TODO : asserts + ds_C20_C30 = read_tn14( + lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=False + ) + ds_C20_C30 = read_tn14( + lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=True + ) From 894d25bc8de0cb4cc7365fb2f5fb8a324d003981 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 26 Mar 2025 15:41:33 +0100 Subject: [PATCH 05/37] test: add dummy tests --- tests/readers/test_gravi_reader.py | 11 ------- tests/readers/test_readers.py | 49 ++++++++++++++++++++++++++++++ 2 files changed, 49 insertions(+), 11 deletions(-) delete mode 100644 tests/readers/test_gravi_reader.py create mode 100644 tests/readers/test_readers.py diff --git a/tests/readers/test_gravi_reader.py b/tests/readers/test_gravi_reader.py deleted file mode 100644 index a196bf7..0000000 --- a/tests/readers/test_gravi_reader.py +++ /dev/null @@ -1,11 +0,0 @@ -from lenapy.readers.gravi_reader import read_tn14 - - -def test_read_tn14(lenapy_paths): - # TODO : asserts - ds_C20_C30 = read_tn14( - lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=False - ) - ds_C20_C30 = read_tn14( - lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=True - ) diff --git a/tests/readers/test_readers.py b/tests/readers/test_readers.py new file mode 100644 index 0000000..49c9904 --- /dev/null +++ b/tests/readers/test_readers.py @@ -0,0 +1,49 @@ +import xarray as xr + +from lenapy.readers.gravi_reader import read_tn14 + + +def test_read_tn13(lenapy_paths): + pass + + +def test_read_tn14(lenapy_paths): + # TODO : asserts + ds_C20_C30 = read_tn14( + lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=False + ) + ds_C20_C30 = read_tn14( + lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=True + ) + + +def test_lenapy_netcdf(lenapy_paths): + # TODO : asserts + gmsl = xr.open_dataset( + lenapy_paths.data / "MSL_wo_seasonal_signal.nc", engine="lenapyNetcdf" + ) + + +def test_lenapy_mask(lenapy_paths): + # TODO test class lenapy.readers.geo_reader.lenapyMask + pass + + +def test_read_gfc(lenapy_paths): + # TODO test class lenapy.readers.gravi_reader.ReadGFC + pass + + +def test_read_gracel2(lenapy_paths): + # TODO test class lenapy.readers.gravi_reader.ReadGRACEL2 + pass + + +def test_read_sh_loading(lenapy_paths): + # TODO test class lenapy.readers.gravi_reader.ReadShLoading + pass + + +def test_ocean_products(lenapy_paths): + # TODO test class lenapy.readers.ocean.lenapyOceanProducts + pass From 17f9acb9e697fc9b843b8e4d3c89f7ff47037e67 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 26 Mar 2025 15:54:32 +0100 Subject: [PATCH 06/37] ci: update pytest --- .gitlab-ci.yml | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 1c8eff6..66cd762 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -74,10 +74,12 @@ pytest: script: - source activate lenapy_env - pip install -e .[test] - - pytest -s tests -m ci --cov=lenapy --cov-report=xml:.ci-reports/coverage.xml --cov-report=term --junitxml=.ci-reports/junit-report.xml + - pytest -s tests --cov=lenapy --cov-report=xml:.ci-reports/coverage.xml --cov-report html:cov_html --cov-report=term --junitxml=.ci-reports/junit-report.xml artifacts: + when: always paths: - ./.ci-reports/ + - ./cov_html/ expire_in: 1 day test_notebooks: From 6efc86031355cd7a2cec75c8f7b89496ee12b43c Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 26 Mar 2025 16:23:43 +0100 Subject: [PATCH 07/37] test: add writers test --- tests/writers/test_writers.py | 9 +++++++++ 1 file changed, 9 insertions(+) create mode 100644 tests/writers/test_writers.py diff --git a/tests/writers/test_writers.py b/tests/writers/test_writers.py new file mode 100644 index 0000000..16e9a3f --- /dev/null +++ b/tests/writers/test_writers.py @@ -0,0 +1,9 @@ +import xarray as xr + + +def test_gravi_writers(lenapy_paths): + # TODO : asserts + # TODO : test to_gfc parameters + ds_path = lenapy_paths.data / "COSTG_n12_2002_2022.nc" + ds = xr.open_dataset(ds_path) + ds.isel(time=0).lnharmo.to_gfc("tmp/test.gfc") From 1d53f439236ac5f57a0b8be38d1cd602bb7c7cfc Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 26 Mar 2025 17:01:38 +0100 Subject: [PATCH 08/37] test: add climato test --- tests/utils/test_climato.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) create mode 100644 tests/utils/test_climato.py diff --git a/tests/utils/test_climato.py b/tests/utils/test_climato.py new file mode 100644 index 0000000..3f09564 --- /dev/null +++ b/tests/utils/test_climato.py @@ -0,0 +1,17 @@ +import xarray as xr + + +def test_climato_coeffs(lenapy_paths): + moheacan = xr.open_dataset(lenapy_paths.data / "ohc.nc") + clim = moheacan.gohc.lntime.Coeffs_climato() + ref_coeffs = [ + "cosAnnual", + "cosSemiAnnual", + "order_0", + "order_1", + "sinAnnual", + "sinSemiAnnual", + ] + assert ( + sorted(clim.coeff_names) == ref_coeffs + ), "Coeffs_climato outputs do not correspond to the ref." From 69ee17b58fd6fae26ef0c8dfd75b732c722692c0 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 2 Apr 2025 09:56:49 +0200 Subject: [PATCH 09/37] test: add test dep --- pyproject.toml | 1 + 1 file changed, 1 insertion(+) diff --git a/pyproject.toml b/pyproject.toml index 6df2fac..5099387 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -61,6 +61,7 @@ test = [ "pytest", "pytest-cov", "nbmake", + "pooch" ] doc = [ "sphinx", From 01d70dd194babe661ddbcc153b49ade0510a9d66 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 2 Apr 2025 09:57:39 +0200 Subject: [PATCH 10/37] test: add lngeo tests --- tests/conftest.py | 17 +++++++++ tests/test_lngeo.py | 84 +++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 101 insertions(+) create mode 100644 tests/test_lngeo.py diff --git a/tests/conftest.py b/tests/conftest.py index 76163ee..fc33aa4 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -2,6 +2,9 @@ from pathlib import Path import pytest +import xarray as xr + +import lenapy @dataclass @@ -15,3 +18,17 @@ def __post_init__(self): @pytest.fixture def lenapy_paths(request) -> LenapyTestsPath: return LenapyTestsPath(Path(__file__).parent.parent) + + +@pytest.fixture(scope="session") +def air_temperature_data(): + """Fixture session to load et rename data from xarray tutorials.""" + dataset = xr.tutorial.open_dataset("air_temperature") + return lenapy.utils.geo.rename_data(dataset) + + +@pytest.fixture(scope="session") +def ersstv5_data(): + """Fixture session to load et rename data from xarray tutorials.""" + dataset = xr.tutorial.open_dataset("ersstv5") + return lenapy.utils.geo.rename_data(dataset) diff --git a/tests/test_lngeo.py b/tests/test_lngeo.py new file mode 100644 index 0000000..88e0d9e --- /dev/null +++ b/tests/test_lngeo.py @@ -0,0 +1,84 @@ +import numpy as np +import pytest +import xarray as xr + +# TODO add tests about id() + + +@pytest.mark.parametrize("operation", ["mean", "sum"]) +def test_mean_or_sum(air_temperature_data, operation): + raw_values = air_temperature_data.air.values + ref_result = getattr(np, operation)(raw_values, axis=(1, 2)) + + # TODO : Possible refactoring: Extract the weight computations in mean as a utility function and use it as an input. + # Currently, both mean and sum share the same weight computations ? + # Then it will be possible to test it + weighted_new_dataset = getattr(air_temperature_data.lngeo, operation)( + ["latitude", "longitude"], weights=["latitude"] + ) + + dataset_result = getattr(air_temperature_data.lngeo, operation)( + ["latitude", "longitude"] + ) + dataarray_result = getattr(air_temperature_data.air.lngeo, operation)( + ["latitude", "longitude"] + ) + + assert np.allclose(ref_result, dataset_result.air.values) + assert np.allclose(ref_result, dataarray_result.values) + + +def test_regridder(air_temperature_data, ersstv5_data): + # TODO : asserts + air_temperature_data.lngeo.regridder(ersstv5_data, method="bilinear") + + +def test_regrid(air_temperature_data): + # TODO : asserts + ds_out = xr.Dataset( + { + "latitude": (["latitude"], np.arange(-89.5, 90, 1.0)), + "longitude": (["longitude"], np.arange(-179.5, 180, 1.0)), + } + ) + regridder = air_temperature_data.lngeo.regridder( + ds_out, "conservative_normed", periodic=True + ) + out = air_temperature_data.lngeo.regrid(regridder) + + +def test_surface_cell(lenapy_paths): + # TODO : asserts + data = xr.open_dataset(lenapy_paths.data / "ecco.nc", engine="lenapyNetcdf") + surface = data.lngeo.surface_cell() + + +def test_distance(air_temperature_data): + # TODO : asserts + lat_coords = [45] + lon_coords = [45] + lat = xr.DataArray( + lat_coords, + dims=["N_PROF"], + name="lat", + attrs={"standard_name": "lat", "units": "degree_north", "axis": "Y"}, + ) + lon = xr.DataArray( + lon_coords, + dims=["N_PROF"], + name="lon", + attrs={"standard_name": "lon", "units": "degree_north", "axis": "Y"}, + ) + pt_coords = xr.Dataset( + {"latitude": lat, "longitude": lon}, + coords={"N_PROF": np.arange(len(lon_coords))}, + ) + air_temperature_data.lngeo.distance(pt_coords) + + +@pytest.mark.skip(reason="data isas.nc is missing") +def test_isosurface(lenapy_paths): + # TODO : asserts + input_data = lenapy_paths.data / "isas.nc" + data = xr.open_dataset(input_data, engine="lenapyNetcdf").temp + data.isosurface(3, "depth") From 421e3ac29b846a83d8759940890c0e75bcce75bd Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 2 Apr 2025 10:09:31 +0200 Subject: [PATCH 11/37] ci: export proxy for tests --- .gitlab-ci.yml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index 66cd762..f45f1b6 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -71,6 +71,10 @@ formater: pytest: stage: quality image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + before_script: + - export no_proxy=$NO_PROXY + - export http_proxy=$HTTP_PROXY + - export https_proxy=$HTTP_PROXY script: - source activate lenapy_env - pip install -e .[test] From 41ceabbc2636e721c51b7edcd470fe9cbec01437 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 2 Apr 2025 15:49:54 +0200 Subject: [PATCH 12/37] test: add test_lngeo.test_isosurface --- tests/test_lngeo.py | 7 ++----- 1 file changed, 2 insertions(+), 5 deletions(-) diff --git a/tests/test_lngeo.py b/tests/test_lngeo.py index 88e0d9e..b02b757 100644 --- a/tests/test_lngeo.py +++ b/tests/test_lngeo.py @@ -76,9 +76,6 @@ def test_distance(air_temperature_data): air_temperature_data.lngeo.distance(pt_coords) -@pytest.mark.skip(reason="data isas.nc is missing") -def test_isosurface(lenapy_paths): +def test_isosurface(ohc_data): # TODO : asserts - input_data = lenapy_paths.data / "isas.nc" - data = xr.open_dataset(input_data, engine="lenapyNetcdf").temp - data.isosurface(3, "depth") + depth = ohc_data.lnocean.sigma0.lngeo.isosurface(27, "depth") From a8ea3aeb83fc77efcf71db1825853dd14ba34ddc Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 2 Apr 2025 15:50:12 +0200 Subject: [PATCH 13/37] test: add test_lnocean --- tests/conftest.py | 8 ++++++++ tests/test_lnocean.py | 34 ++++++++++++++++++++++++++++++++++ 2 files changed, 42 insertions(+) create mode 100644 tests/test_lnocean.py diff --git a/tests/conftest.py b/tests/conftest.py index fc33aa4..4fcd491 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -27,6 +27,14 @@ def air_temperature_data(): return lenapy.utils.geo.rename_data(dataset) +@pytest.fixture(scope="session") +def ohc_data(): + return xr.open_dataset( + LenapyTestsPath(Path(__file__).parent.parent).data / "ecco.nc", + engine="lenapyNetcdf", + ) + + @pytest.fixture(scope="session") def ersstv5_data(): """Fixture session to load et rename data from xarray tutorials.""" diff --git a/tests/test_lnocean.py b/tests/test_lnocean.py new file mode 100644 index 0000000..0239e12 --- /dev/null +++ b/tests/test_lnocean.py @@ -0,0 +1,34 @@ +def test_attributes(ohc_data): + temp = ohc_data.lnocean.temp + pt = ohc_data.lnocean.PT + ct = ohc_data.lnocean.CT + psal = ohc_data.lnocean.psal + sr = ohc_data.lnocean.SR + sa = ohc_data.lnocean.SA + pressure = ohc_data.lnocean.P + rho = ohc_data.lnocean.rho + sigma0 = ohc_data.lnocean.sigma0 + cp = ohc_data.lnocean.Cp + heat = ohc_data.lnocean.heat + slh = ohc_data.lnocean.slh + ohc = ohc_data.lnocean.ohc + ssl = ohc_data.lnocean.ssl + tssl = ohc_data.lnocean.tssl + hssl = ohc_data.lnocean.hssl + ssl_above = ohc_data.lnocean.ssl_above + eeh = ohc_data.lnocean.eeh + ieeh = ohc_data.lnocean.ieeh + gohc = ohc_data.lnocean.gohc + msl = ohc_data.lnocean.msl + tmsl = ohc_data.lnocean.tmsl + hmsl = ohc_data.lnocean.hmsl + gohc_toa = ohc_data.lnocean.gohc_TOA + ohc_above = ohc_data.lnocean.ohc_above + ocean_depth = ohc_data.lnocean.ocean_depth + mld_theta0 = ohc_data.lnocean.mld_theta0 + mld_theta0minus_only = ohc_data.lnocean.mld_theta0minus_only + mld_sigma0 = ohc_data.lnocean.mld_sigma0 + mld_sigma0var = ohc_data.lnocean.mld_sigma0var + msl = ohc_data.lnocean.msl + msl = ohc_data.lnocean.msl + msl = ohc_data.lnocean.msl From 7e1bdfbbc39b74cdb6c9edd6de0164a7493f59cd Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 2 Apr 2025 15:56:50 +0200 Subject: [PATCH 14/37] ci: add github ci --- .github/workflows/ci.yml | 155 +++++++++++++++++++++++++++++++++++++++ pyproject.toml | 1 - 2 files changed, 155 insertions(+), 1 deletion(-) create mode 100644 .github/workflows/ci.yml diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 0000000..c73ce59 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,155 @@ +name: CI Pipeline + +on: + push: + branches: + - main + - develop + pull_request: + branches: + - '**' + +jobs: + build-env: + name: Build Conda Environment + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Miniconda + uses: conda-incubator/setup-miniconda@v2 + with: + activate-environment: lenapy_env + environment-file: environment.yml + auto-activate-base: false + + - name: Cache Conda environment + uses: actions/cache@v4 + with: + path: /usr/share/miniconda/envs/lenapy_env + key: conda-${{ runner.os }}-${{ hashFiles('environment.yml') }} + restore-keys: | + conda-${{ runner.os }}- + + formater: + name: Code Formatting Check + runs-on: ubuntu-latest + needs: build-env + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Install Dependencies + shell: bash -l {0} + run: pip install -e .[formatter] + + - name: Run Black & Isort + shell: bash -l {0} + run: | + black --check --diff lenapy + isort lenapy --check --diff + + pytest: + name: Run Pytest + runs-on: ubuntu-latest + needs: build-env + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Miniconda + uses: conda-incubator/setup-miniconda@v3 + with: + auto-update-conda: false + activate-environment: lenapy_env + + - name: Restore Conda environment + uses: actions/cache@v4 + with: + path: /usr/share/miniconda/envs/lenapy_env + key: conda-${{ runner.os }}-${{ hashFiles('environment.yml') }} + + - name: Run Pytest with Coverage + shell: bash -l {0} + run: | + pip install -e .[test] + pytest -s tests --cov=lenapy --cov-report=xml:.ci-reports/coverage.xml --cov-report html:cov_html --cov-report=term + + - name: Upload Coverage Report + uses: actions/upload-artifact@v4 + with: + name: coverage-report + path: | + .ci-reports/ + cov_html/ + + test_notebooks: + name: Test Jupyter Notebooks + runs-on: ubuntu-latest + needs: build-env + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Miniconda + uses: conda-incubator/setup-miniconda@v3 + with: + auto-update-conda: false + activate-environment: lenapy_env + + - name: Restore Conda environment + uses: actions/cache@v4 + with: + path: /usr/share/miniconda/envs/lenapy_env + key: conda-${{ runner.os }}-${{ hashFiles('environment.yml') }} + + - name: Install Notebook Dependencies + shell: bash -l {0} + run: | + pip install -e .[test] + pip install -e .[notebook] + + - name: Run Pytest on Notebooks + shell: bash -l {0} + run: | + pytest --nbmake --nbmake-kernel=python3 doc/tutorials/ + + pylint_analysis: + name: Pylint Code Analysis + runs-on: ubuntu-latest + needs: build-env + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Install Dependencies + shell: bash -l {0} + run: pip install -e .[quality] + + - name: Run Pylint + shell: bash -l {0} + run: | + pylint --recursive=y --disable=all --fail-under=10 --enable=too-many-statements,too-many-nested-blocks lenapy + + mccabe_analysis: + name: McCabe Complexity Analysis + runs-on: ubuntu-latest + needs: build-env + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Conda + uses: conda-incubator/setup-miniconda@v2 + with: + activate-environment: lenapy + auto-activate-base: false + + - name: Install Quality Tools + shell: bash -l {0} + run: pip install .[quality] + + - name: Run McCabe Complexity Check + shell: bash -l {0} + run: ./continuous_integration/scripts/check_mccabe_complexity.sh 25 lenapy diff --git a/pyproject.toml b/pyproject.toml index 5099387..8540b2c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -14,7 +14,6 @@ license = { text = "GPL-3.0" } requires-python = ">=3.7" dependencies = [ "matplotlib>=3.6", - "esmpy>=8.4.0", "xesmf>=0.8.2", "xarray>=2024.2", "gsw>=3.6.16", From fed87ae6bf02f8b3585f5151cf9f207599b72e1d Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 3 Apr 2025 13:42:46 +0200 Subject: [PATCH 15/37] ci: add action 'publish-unit-test-result-action' --- .github/workflows/ci.yml | 7 ++++++- 1 file changed, 6 insertions(+), 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c73ce59..c14cacf 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -74,7 +74,7 @@ jobs: shell: bash -l {0} run: | pip install -e .[test] - pytest -s tests --cov=lenapy --cov-report=xml:.ci-reports/coverage.xml --cov-report html:cov_html --cov-report=term + pytest -s tests --cov=lenapy --cov-report=xml:.ci-reports/coverage.xml --cov-report html:cov_html --cov-report=term --junitxml=pytest-results.xml - name: Upload Coverage Report uses: actions/upload-artifact@v4 @@ -83,6 +83,11 @@ jobs: path: | .ci-reports/ cov_html/ + pytest-results.xml + - name: Publish test results + uses: EnricoMi/publish-unit-test-result-action@v2 + with: + files: pytest-results.xml test_notebooks: name: Test Jupyter Notebooks From 60a889271ae2715019b79160fbcffba90b9eb0fa Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 3 Apr 2025 14:37:30 +0200 Subject: [PATCH 16/37] ci: add doc build job --- .github/workflows/ci.yml | 36 ++++++++++++++++++++++++++++++++++++ pyproject.toml | 3 +++ 2 files changed, 39 insertions(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index c14cacf..35e7b41 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -158,3 +158,39 @@ jobs: - name: Run McCabe Complexity Check shell: bash -l {0} run: ./continuous_integration/scripts/check_mccabe_complexity.sh 25 lenapy + + build_doc: + name: Build sphinx documentation + runs-on: ubuntu-latest + needs: build-env + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Set up Miniconda + uses: conda-incubator/setup-miniconda@v3 + with: + auto-update-conda: false + activate-environment: lenapy_env + + - name: Restore Conda environment + uses: actions/cache@v4 + with: + path: /usr/share/miniconda/envs/lenapy_env + key: conda-${{ runner.os }}-${{ hashFiles('environment.yml') }} + + - name: Install documentation dependencies + shell: bash -l {0} + run: pip install .[doc] + - name: Build doc + shell: bash -l {0} + run: | + conda install pandoc + sphinx-build -b html doc doc/build + + - name: Upload doc as artefact + uses: actions/upload-artifact@v4 + with: + name: doc-build + path: | + doc/build diff --git a/pyproject.toml b/pyproject.toml index 8540b2c..7fa06a1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,6 +64,9 @@ test = [ ] doc = [ "sphinx", + "sphinx-rtd-theme", + "sphinx-mdinclude", + "nbsphinx", ] notebook = [ "notebook ==7.3.3", From ab9856b2f8c2634c891801aa0abaa628058640b0 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 3 Apr 2025 15:00:58 +0200 Subject: [PATCH 17/37] ci: add retention-days to doc artifact --- .github/workflows/ci.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 35e7b41..4f625a2 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -194,3 +194,4 @@ jobs: name: doc-build path: | doc/build + retention-days: 7 From b8210dc957246287e819ee9b281b7e2bcbc2fbba Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 3 Apr 2025 16:47:04 +0200 Subject: [PATCH 18/37] refact: refactor gravi_writer --- lenapy/writers/gravi_writer.py | 82 ++++++++++++++++++---------------- 1 file changed, 43 insertions(+), 39 deletions(-) diff --git a/lenapy/writers/gravi_writer.py b/lenapy/writers/gravi_writer.py index 57d598a..551beac 100644 --- a/lenapy/writers/gravi_writer.py +++ b/lenapy/writers/gravi_writer.py @@ -7,6 +7,43 @@ from lenapy.utils.harmo import assert_sh +def check_dimensions(var, var_name): + """Check if a variable has only 'l' and 'm' dimensions or extra dims of size 1.""" + if not (set(var.dims) == {"l", "m"}) and not ( + len(var.dims) > 2 and max(var.shape[2:]) <= 1 + ): + raise ValueError( + f"Variable '{var_name}' has extra dimension with a size that exceeds 1." + "\n You can reduce this extra dimension by using .isel(dim=0) on your dataset." + ) + + +def prepare_attributes(ds, include_errors: bool, extra_kwargs: dict): + """Prepare dataset attributes for .gfc file header.""" + attrs = ds.attrs.copy() + mandatory_attrs_defaults = { + "product_type": "gravity_field", + "modelname": "unnamed_model", + "earth_gravity_constant": "not_set", + "radius": "not_set", + "max_degree": str(ds.l.max().values), + } + if include_errors and "eclm" in ds and "eslm" in ds: + mandatory_attrs_defaults["errors"] = "formal" + else: + mandatory_attrs_defaults["errors"] = "no" + for attr, default_value in mandatory_attrs_defaults.items(): + attrs.setdefault(attr, default_value) + # Keep normalization coherent with .gfc standard + if "norm" in attrs and attrs["norm"] == "4pi": + attrs["norm"] = "fully_normalized" + elif "norm" in attrs and attrs["norm"] == "unnorm": + attrs["norm"] = "unnormalized" + # Update dataset attributes with any additional attributes specified by the user + attrs.update(extra_kwargs) + return attrs + + def dataset_to_gfc( ds, filename, @@ -61,21 +98,11 @@ def dataset_to_gfc( assert_sh(ds) # Verify dimensions of 'clm', 'slm' and errors array - if include_errors: - list_var = ["clm", "slm", "eclm", "eslm"] - else: - list_var = ["clm", "slm"] - for var_name in list_var: - if var_name not in ds: - raise ValueError(f"Variable '{var_name}' not found in dataset.") - var_dims = ds[var_name].dims - if not (set(var_dims) == {"l", "m"}) and not ( - len(var_dims) > 2 and max(ds[var_name].shape[2:]) <= 1 - ): - raise ValueError( - f"Variable '{var_name}' has extra dimension with a size that exceeds 1." - f"\n You can reduce this extra dimension by using .isel(dim=0) on your dataset." - ) + list_var = ["clm", "slm"] + (["eclm", "eslm"] if include_errors else []) + for var in list_var: + if var not in ds: + raise ValueError(f"Variable '{var}' not found in dataset.") + check_dimensions(ds[var], var) # reduce the dataset to 'l' and 'm' dimensions extra_dims = [dim for dim in ds.dims if dim not in ["l", "m"]] @@ -83,30 +110,7 @@ def dataset_to_gfc( ds = ds.isel(**{dim: 0 for dim in extra_dims}) # Set default values for missing mandatory attributes - attrs = ds.attrs.copy() - mandatory_attrs_defaults = { - "product_type": "gravity_field", - "modelname": "unnamed_model", - "earth_gravity_constant": "not_set", - "radius": "not_set", - "max_degree": str(ds.l.max().values), - } - if include_errors and "eclm" in ds and "eslm" in ds: - mandatory_attrs_defaults["errors"] = "formal" - else: - mandatory_attrs_defaults["errors"] = "no" - - for attr, default_value in mandatory_attrs_defaults.items(): - attrs.setdefault(attr, default_value) - - # Keep normalization coherent with .gfc standard - if "norm" in attrs and attrs["norm"] == "4pi": - attrs["norm"] = "fully_normalized" - elif "norm" in attrs and attrs["norm"] == "unnorm": - attrs["norm"] = "unnormalized" - - # Update dataset attributes with any additional attributes specified by the user - attrs.update(kwargs) + attrs = prepare_attributes(ds, include_errors, kwargs) # ensure the directory exists os.makedirs(os.path.dirname(filename), exist_ok=True) From b33af269e38653ea324098b441fe274110a65353 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Mon, 7 Apr 2025 12:49:42 +0200 Subject: [PATCH 19/37] test: add test_harmo --- tests/__init__.py | 0 tests/conftest.py | 1 + tests/ref_data/utils/costg_grid.nc | Bin 0 -> 67648 bytes .../utils/l_factor_conv_ext_radial_mag.npy | Bin 0 -> 144 bytes .../utils/l_factor_conv_int_radial_mag.npy | Bin 0 -> 144 bytes tests/ref_data/utils/l_factor_conv_mecu.npy | Bin 0 -> 144 bytes tests/ref_data/utils/l_factor_conv_mewh.npy | Bin 0 -> 152 bytes .../ref_data/utils/l_factor_conv_microGal.npy | Bin 0 -> 152 bytes .../ref_data/utils/l_factor_conv_mmgeoid.npy | Bin 0 -> 144 bytes tests/ref_data/utils/l_factor_conv_mvcu.npy | Bin 0 -> 144 bytes tests/ref_data/utils/l_factor_conv_norm.npy | Bin 0 -> 144 bytes tests/ref_data/utils/l_factor_conv_pascal.npy | Bin 0 -> 144 bytes .../utils/l_factor_conv_potential.npy | Bin 0 -> 144 bytes tests/ref_data/utils/plm_4pi.npy | Bin 0 -> 3008 bytes tests/ref_data/utils/plm_ortho.npy | Bin 0 -> 3008 bytes tests/ref_data/utils/plm_schmidt.npy | Bin 0 -> 3008 bytes tests/utilities.py | 29 +++++ tests/utils/__init__.py | 0 tests/utils/test_harmo.py | 122 ++++++++++++++++++ 19 files changed, 152 insertions(+) create mode 100644 tests/__init__.py create mode 100644 tests/ref_data/utils/costg_grid.nc create mode 100644 tests/ref_data/utils/l_factor_conv_ext_radial_mag.npy create mode 100644 tests/ref_data/utils/l_factor_conv_int_radial_mag.npy create mode 100644 tests/ref_data/utils/l_factor_conv_mecu.npy create mode 100644 tests/ref_data/utils/l_factor_conv_mewh.npy create mode 100644 tests/ref_data/utils/l_factor_conv_microGal.npy create mode 100644 tests/ref_data/utils/l_factor_conv_mmgeoid.npy create mode 100644 tests/ref_data/utils/l_factor_conv_mvcu.npy create mode 100644 tests/ref_data/utils/l_factor_conv_norm.npy create mode 100644 tests/ref_data/utils/l_factor_conv_pascal.npy create mode 100644 tests/ref_data/utils/l_factor_conv_potential.npy create mode 100644 tests/ref_data/utils/plm_4pi.npy create mode 100644 tests/ref_data/utils/plm_ortho.npy create mode 100644 tests/ref_data/utils/plm_schmidt.npy create mode 100644 tests/utilities.py create mode 100644 tests/utils/__init__.py create mode 100644 tests/utils/test_harmo.py diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/conftest.py b/tests/conftest.py index 4fcd491..4cba0a6 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -13,6 +13,7 @@ class LenapyTestsPath: def __post_init__(self): self.data = self.project_dir / "data" + self.ref_data = self.project_dir / "tests" / "ref_data" @pytest.fixture diff --git a/tests/ref_data/utils/costg_grid.nc b/tests/ref_data/utils/costg_grid.nc new file mode 100644 index 0000000000000000000000000000000000000000..55d19ddd94d8af00e3d1628a171496a4e9262c4a GIT binary patch literal 67648 zcmeFZ1yr2TvM$&_aQEPD!6m`n-66QUI|PCgB)Ge4aCdi?5Zv9}bwWt)J@?JI^Uj@_ zch{R)*=u!wU0dp}{q5TSU$vViP((lo777yz7y<(Dr#$~IJP<&?s_1?N{a}{ z0mD=Q6aK0L0sGzbXUPAEP{4p+I>4}BIs(1<-5mgFZe?j?V(*}DaQwRp0paBXA?T}U z{U2&`L0(0Q-?gaNfEP_5K!E@8dVgd9+)LMI0QfI>trecKZ~A3EY#I;{%1Z+<5D*aY z%ZH!k4}ze)Sd56z4R|Gl2fzdkV0!*(0Vv!{3&^{FC+f!I)oN(uR~?bB0Qh4c*nest z4DU-<5C94Q=I0BbC1qf*r*Fu_Z)IhxZ(^xqZ(s*N_<5aIzVLq;`isY(gZ|))0vO5{ z83X|K)7YPV`6YPeJRn1|GzEEFV!GFd&2#+@TclO77CbHnCSmU+kOsxDKG*r_JRPQe@^ISN)=1Mx| z4hH{}%opna%;XQg>bda%06ytEoxd&>;2)L>>9qsk5B}d-sz}&ZC0)OD{kJUD%LM<+ zOZ990eh$R(ojQ`{7ZC@;dNCR3&F{ScfH2pw|Fwe>Ul#gj@vP+$c_j_~A4o%cZ3O&5 z5SSMadU38l{{4@B{YTZSUn~9EMF2qSZykTg0{>s>*Doggm&t;``{#cBayxlZXm4U+ z@Dtppg$e#upMDt@AU!Sk!aa=OPvO_VU;9i;ieJXo%G$uz-sI;-ec5k>KVL5c91U#k zOsp(98K^9O?PyLW8de$xDr0@a_nh=J^h`92ugntsy4wK&d_TwhDzAIsOheP@muPL+ z_6z9@Uhzcl70YyA(OTyf>9k*QMdKB<)qcw#f6Ge0W%=K->?^iO{zj4C$p4C-oWGIr z6#+!QafKW3tB~;g0#Byj$n}am0>4r8H%h%?y6h|BEBuy~e#DB7*)a${4(&_Wx${0ssIkFFx?I6!E^Iy5=j6eR@TixL53|{M|nGiVFv?7!3L9 z0|3%jWD$AA0Ml1Y4tvF>s#olqeZ_pB7smqtIQU=jKVnR;*HlJ!R2?L`zNh{A^PV*4&=`%yxiOW1cd*!*!|@x^8aS+ew1&6 z^zU;>L4M`;-{$Z$WBHfUikC^j(7&b?zf&9sOB4Iokn1I&ed%CqSh z7X*6Ay8sZs!hR6oH>hO4uKX+ec`@U~gcl|M^Pv3IoAiE%oMEs=>+uV#h#b)<|UjS{hf$_{cZ$(Z3Db9vNh31g@2V`2G1vc1<;}|@_#Ac{jL7z zpx5#m?Yyqsi@(0)z5ma1%|D65|H-{x=K8{vg@KbX49Ba}LceC~7CO#a`UXFJ#^68X zQU5HZh52nf49}|Fe0**csUWyJ`AAz0&d}{Q^L|w7+^Q z{y#lD`Qx82S9>Y$X3^>YXi?;EZ^r-ab^m=9{k|Z;u?gPeA1&eof3>vi6@GE_x@!Nc zIr?+IfcOgeLhIl1mx2GEGa$?_E%9p~{`U7j_qjjM>^~=NuXmU~Cusn{pR?>gkHSCw z|2!)H(3b!E>G((fi+>sT%fMd-{xa~Ffxis=W#BIZe;N48z+VRbGVqsyzYP5MGoT$_C)AyRExM5od_*2Us7*s>gA02 zSGbx{s*Sj=OT2**IMTz*Rer5N*C7SUeDBAEkBml2XZ0y}(cs}ezD{yqhX%e=yiJ5P zVdnRw{3dJLW+IxV2P%Ut3Q}3X87T?7X|b+H;5n%wI!%geS7Lp>hFbf^z_O4@PB&jf zVJSWo8>~gFw#ho)a`V%zORlUqTmv4Wk;+qH)nOuoC|oP%N>POCgakQFou~cGm=B5? zxa90PbwvD$f~E0ilSWT1sUveYg>FZpONoq+A&|H-i1q3Ar>ERi^cr7nTy#Wu!r^4_ z6Lc)$W2;!W#-hYg?NV_3tjbY&0~p%C^VuGX1l6s}18e^J}aS%cd;ToL#bTY>FZQ#nuP&BO*M$Pou%V_$+1>%c)$iN{S;qgiXN*_=@KY9=K zyZ(u%cD&X7$S+`8-wGMLVDu1s>toT{bqB9{7Iu5DIpU<_p`Ajn`uM(|K0DQjIR~j^-x@AKBt$7cjY>@&~Qn!x9ra8q5~43Z06l`JPk)QHgBlLe3Eu_$pIqGfa74F+v@0IVsKm0zH;c_B= zTKbkkZS?zRB~C3$xU#DdK|M-kzmY8;ImzMMhS-m45mELa18M;8r+mv0$p)ihrS8>H zP-^#LH&>Zcyh6!V!roJpV!p6WP`H2G}KO{J=q{pF{SwyOD8Uiw$m&K&A&J^x~;0U^kbi&YB%PejEtHb~XtKw&uv1j9Xgv)m>WvI!&>(Tymq?uwVej24RA8}R=v|E%SRj?$z0#+sG83g#c=Ijm2tWWv&161U*3 z?>O4?IBs$_+4_nmfWp8_bW0~R#dCCWR&?qO$m|nUS845L}82 z3i-jDwnh8>L6UtQcEc7Ic=iu{s`naL-oa- zVT7W{@%0{BRuYYJQ z=9$n?)>V1o1zU4XX}B~@fA4amO)D)~LiRODG#0zRf14JKm4O@$--`|yBVd)H-Hp*6%IJ^jXGo=h5svvkFTN6`_Ok0zcg zD7%#qqgjTS^-WJ>Ug7u5+EVU0At%hwpz|Rj433ot<%j{~BB`vI)*%x)dz9UAlFF2E zBTyWOJLhsy)VHhorwc(7#^8&gf5+p@_P+Q z&;(2JSRrZamTTwdKV+##sacMH&ygf%y zKGR0LHl-y2-q~?bdb^~X9}KsqnC8fiZiU^$){spbq!QL`F&=u)$dqZ!kGZ^E5AUxJ zIw}Wd#W6`{&j)^D4$WB$!)3PBKm!7QSM>x0y@re1Wo#C{ z6IWIQiVC(m@?>T4qG;(6Y74Wy&k*_zkkwliwo|Kvun*cdKSrU)g&%E1s^TWk_!#{P zq`EBomP0fXzI0tSs7m@vl+%TrKAC_8_Yp#FCUq7W1}Lnvv*lQ(N>8CCM%Csr;>KyP z88r_x+}z1kb9-%XQ=rb&r2~}1aoJ#^7)n(%@_C~ZaM$_=x7D{>1;?9p{0dphmI$Zp zn?a?*lBVg&-RV*l6XxR+8UWu>q$w3gJTPN{@S^t@GaZGjoGY-(7Vm32^5L%zUHgN_ zrtKTbtk^D>%89{_vKcgNVx%PTMfxJfnfC3?eCE_Q_a<*PfmhK=9RdoV4<&!AMILo3blN=$?lzSJp@bOm2LixGEZqLmQ z7@J~M43`3&O?h$!dj<|4Qa{F>O7_A)E?4x@COBjCKXx!}HQrse>|P~n00k;^R0tZk zciX3Po^$6oqUh_onGdF{BeHL6^xSG=&#(An0*`22y@k!fJ)8U@YoD2E2g54C=le#A z459F<-tkHxc`=`^0O2{Mu>pO6l|Fg|*^WE?!aSAsxeVe6Qgo`LO$i$?4oSH^;F}Hb zp<#zFUcR3-iau$7#-VyHdMfry4{CANlDXP*sQCmdc$uoOuq#hhE zooGDu<7rXNJA(RHErn{6WsM)sn#{+CKs6V*5#NeZ#TO`NpiG9*{y=hm{NRiN1I$b# zPW(=#ntNNG+KOJhdCqXcVO->Lq$Z~-335jr1^YNPY|!#NNo98FCer(qU9zj&ZNdL* z;M#qkJxcNA+@$*-b`}qCSiBHSCls@L`|#d>RaT1o#Hg+4{3`uxs`4ZYLtZ8PlA#zb ztY?-6XN(k_`Yac6DEYE?>t5_#pz))jlF|tK1La7X5bz2Q#iySE_nvKRDH zjo6LCx>%K@SL`Brsv^nd5EW$LoDY~s7{I91>%1Q7gaYoq*6lRWd}X=5KgRLIJzU6U z_~9z-!~>VFu{^_%my++Np4M)1c>4{K4?}d8+Ykb}jz#^!;7g}KkC1?mYn*BG*7QA` z#qtZd0<=IQR-g*oG%UUIm1iA28O^qB8~edemgZ~VSsxS5U6esR>192r8yhU%+V6hM zC9cF+yZzXa(T$}4A77(A%&4=#{EE#o&oH1+AUitr)l=M$9xQP_;i4d*K_J)_#POVs&$85&O)Sa?%VQNNF!(Zr>5zH2#E()BJ(>4;R=ta z8kN4Y=H_uc?|dR5>&>$}2?b{|WYZtCkA2p=V3r>_3EXZsnGxN~vnpdafD{f#)b~ zWHC#>vUzhK&WqUYdCIrw4BA?7pA++SBhqoUAI>f%_KvS=$ox@JSY)-;t39&VP_CRwNX!23yw)KI8Qsh_|x22^+WzeS6veU0Ug66AOZfW_V zqw4!|JbIuv0elxo`_FasY5i>p)>Di)Hv#y5M@T7eca(P1h)0c<#OUsFpJjJ$xT{4A zz8NJw+ObHDh=(SfBFGFDoU3Bs@)b!TOmv$Ty#Yf{RtT}3!~x+XA{{q7%-Ug|aMZ_F zGcgVc_4g78$xKAP4%64rkKPwJ(DDmG=hTXfCgDVM#sZDewo-6IUBCUIzO5g84W8iM z!c$)b+-xP08g{39fAu58l&+tLZy%p&=F8~$1~?2wlN0HtSup{uW4RHVDf*84#Jx)D zb1-u-DR#_TpySBZ+LJO&(3pFUY01x!2T}}t__rXgC@bXjccWDlU*&HaCEj98e&RWL zQ;>tO!&la;1Pnzzaa`@Fn&NY@!1VKbM{p57{j5Bn z;QbG|W%lip1Z7qEpxhE{$8Y+Vvw(&)(h)B=zo@eJ08X&^Gfm7L)FR(S%eHL5_4gX)o2!Natr>{n z9kE~%PD7a3F4TBZ71+ zrJx}jRvh@oB6iMU)?9sVI)@iV<%b^{>e~IA*Nb*{?lfux`{(UnEgZLS>WXB!y9x4MK0J8%sFV#|v=Xze*hq&Rd&$4C zN~Hxn0YN=Ny%6nUR@7`6jtm%~=No}L`}8zb%F#V3jt~L6PM}t{7sY9UG3|-wb!i%n+l2s7oP+_=jRcKJMMn1 zgC=fwQqYClnHg5aV%7|ITaJ0oq?tm?1)CP$#SPt0*y*d0_X^Eh{ zeTGE_v5_s&YeyX`j6L7zO;wPc47E+Oevq%kIuf3?K_xO56dG;fJRgr0;bY8+M1*&h zQ|sQb$4wg=p+e2I%!rsr?MrR}lkt^#`@R+KK9^fe#JNyXQ&I-qh%m;EUuFNnGhBjT zI;C8=jR`Qk8S+FbjoeKF4ueW&_;4wI+fy0?)vbklgr_6}U%c{JdO@idOjSH%-OYar z7<>xqVYDz|Gd~vE_OgSYV4vUQt1|h;(gqdxNGhatgZm( zQuXqDs1h9|8wKq_VK4@hS0c8|UDLEe+YjBf*2hE}kn_=z&Rut_Ni$a2q>f#e@*r7t zdr@h-aH)8d1e_$df|UKX@weqd<+Kn)(|}zB!KO6Lo>&<2Op0?|B?YpDV@B>I#!~F! zCCS~)oih8xhV~`fsUoV6WgI|5;OVhGzIdDDNk&Qy51nRAhldOwPP^$~`_T^{H>5nQ zK6JR11YTJVy3ST?}Xvr|_0tY;5p8tJ1%{`4Mq6#F4Nm8kaLtYJEfRvH(xj+THncOUfB_NyEUz6c=OxoFh|9$gS?*r`M?|rG*|-8 zBaf;KKaXmn9G-u>Am(Ar{_r?$6ywefL(LriY!G{P!S6qWjV=)-J8_0=F$TgDK-O2h z6jt2&IE^Q=roB3j-(FL)pOnwsEk5Po232vlGk)=eHQoDzdS{C;=!|#6_O@dqH4s&3ZWj_ zG*P0sV=Ye=%K3Fe86w=}gNn_Qk?eG~vBf%l@@`sf=pI3s`Fr~C@G{ZGp~@94!VD9J zXUw%L`}yk#1)shmZ}F$`FJ3uhvY4uT&+F6!?+k|du#=mo^u2Et{dV4;*}?NtAO!zl zt#_~d;yoE|eYXrC$!IywLarM(Mk}rzr-?CMh%T}^j^~MacmI(s8{>0LEH7SnNC42kcaY#0vFp^-%(m!CeLnF+WM5Cq@F+_90-(JTyVS(uSGCb+RjK^kJ3^Pl zp#@@-OWX83Dvq$b9j>(^*Ox`bIwr%#@xURq8e#2^%MeW7S>XqZ&Ll0q!)Ih@$qMJ* zXN6kBv<5vIpy4o*A)4yfh#fDVf&li$e`u4p@gHZ(O_=&HTFpQ;O$YZTsg*Qq+NX&D zMnHnpa87}Ng{2(N)e*+8!n9-J+F7h^`qTP>3 zBx^KBEiv|azC_<5x-u^8j!(wH2OCVT0(XExD>TpY^s;n~>T54AH`0dMhOr>Ob2%V? z>)hJU0J_de$#te)n}aNb9nh&_$%MeDvr`_O{W#`IE}Bb=zK$Dp68nZ4Exm=86y2j9 z8;ck6WA{KEKnxtcB#`B79eX?!1tF=)Owb^J2Klg_qjcuW$2FTr4UTSp&=ST@zewUY zr}a_dGhfC>>$@!rI2PC5DFcD13{73M06CpAR+EG)3~es*hrhuyWoYkH=N(oaJR~R= zUR+PYo969VVH)R~SA>5fDu}rhId|^}PPN;E(KfgB*y@@bKngG_Gg{ivO9IKAH1=}r zt15*izZgJotXNGk@qVJfP@Wk=uFb6PuJogdBepq}>2>`0W3IWPSsyr6p$)PH<~q;n zlpy)jc72{Qxz!1%C~Rr)UBIV{inDK)j?WwI=z)&!47@ngZD#8jGnD7{is2W-K?K0i z?rM1ly^;ZhS_Eh^Yk1}tUqUs6p{0mCv?Q)A*8vS(nJ~I{g-`?^G>5-EHR6CA@Rwl6 z3?RosM5)zLKRk}P?T;@L=>tP}RlJPhjYFnraA7r^;zGd7R|^K|v{DDc5FEgk6%U^!pET)LRBQ-1Va%+9bF+$Dhq1 z(kA3tme($+uQ&+?=n8sTNFEI;s7S^DBdUywKnhSOh0h}`UVK&yA%&@}bsIXiVK%_u z;Y`R(VivfcxWyyD97ShTnS0g`W7AjSb>UI#szw(;qI-LnqZ{Y&ZURO5bsfVy-8Xit zFl`Y7LyX3T+Ia0P>ZlxLpL)zacLk9BE0Qy^*~sNKk{-S+Zhwdy`WzSFO)`D0BXci` zD^{BaDII(j?3(!E)|Jd|Q}3bd0;yHiYZNfNX=7*G+iU!4clCCC_)JY0Q{}*KyCMrxsSO>p zaw8pD{4N^x@z%A6CL55KJ%Nw(Pig~+IBwVNy106ha#r6)Ch0KUv3Pn# ziLopdEHE8@DcyZO<@a}N3{d}45|Ek}h2d$R5*Vvz=i*6sPBBi=nn8S;C_Hej^q6N|dZ%egF5T8SA z5WmuRaWwL95`K)wz`v!2wwmV=7=b9(eKLR(H&y9m{3^iATOmkhYFvCx#`iN#y+zza zZ90x>c(@ma>0I*1G&y2%h0ThZm?RKljIbd4dOXd2O!Z#w zjS0FkOq7Sbhj5VSO_E_(b8Z5s)U*%vN;H6Jh^M7$4!lPF|~;ylP<;`y6J8n z?1{{s&N+&8k$4GIH-ujQgB<-Wms#|a`l10_fGMjn14TAsQ->wNO(GLu0m6c5dPyOt zz}ad&ejE#2zZmwrS!IZeBZF-LgOp=vD9fx6b{*`@fY9CXp7I##@HVD!?rJCR;QNje z)9-T(;lXo6ra%MOCR>9=HEILSn5u+is*7R0f-aOeqZZ4d*%nR3>f#3FO=A$Cz3UB#I9Iaw2QrF}>uUH=@saCYUjrorPA z0pFl}cy1_V4+BcSl>c2)h?)GVuabC*b``rX8`1CsY`6PZVS4_|rvBLqR7eYL1hkE| zm3ZdtL*gkD8rei*5x5fGLC1lD-vI~$n+2!7>fSYNLK4qd$%i$r-bRuifh+;CmwFaQ zM!2Q?jf-?KPnWen&=kRQ?GU#jB**iPn4fl)QcX!6zC#M~cU&y^^2Wt-=s|>wg7XZ~ zP){-eqv@YKbLcfGA8mNHoa66Csp+5HwmHl*B##{_iI^IJZxd&wYvEEn5hmnb>43^4 zE1HS5T2{d$xo?<5hzDF-=6V|_8Rx59j^|ig>F8p zG7SLFgO3&~xlf$T$;^Gl^ae3Vh@xs-e@6i!9@>(&8e~E+Pm7B`LYqfu_s0J-uFxo? z+>FKd$;_=#5qd{w5$4@O=;;jT7IJu9PJdx>5q{E!Vr**?Wf^u-CVG0ofcm zCo$gX8})C9?i(u&G*g+^OoamCN)2{5_hys*WmH2 zQ?bn6pibkDc7r}-T*sZbgc>!b}_-dz~WbEa)Qpjbym020#7Pk=T*dt?;PF9Qr zRNBd$uj^nST*R&iy5wE<3Z8Gxcd$-Xr$nupZIp(~BGD;*H4|Mum_>Z+tA)EpY1)Fk zv2F6Mv3uSVq3?FhYeL}AcuF~Vt%mALpxd|yK$>28)?t=rs7d6RDwLf`0!Ge9iLMLj zKwa7#48L|$Cc-2vZZe$Se1IO^OiEgmc+3bMl`s+BFZXEj@d5__^Z}ekkLH2{8Z^7v zBi9I-=E-he;hk@aY%by9=B^8{@Uyhj$y9}U1C1z3UO2^Zq8MY5-Z4HKz51t2wW%+Q zyhGVJUZe3%2w@wuT#)#?Mw5}yL%yiu=@qy-CGAAgPf|!15Vhnyw4W76hd!7`Vi)g5 zxG8^YCuF2ExroCX8F#v5ea5IEs`CAQLhf%zo6&Mj={?O{&S_C;Q0t9k=cvZwTUP-( zw5=c~Cy{Prplyx?-VDLJ%#vd(4m>cc29`4CkjD_yIG`F-5I>F25ZoM`d=JR& zz|UGAEj&%n*;X#}!$Z-E#D?1-#~FX_R2X*EE{eRFkORg#`j@0gz-cNj1flsCq$+oW%rX9d@soBsU&Gjc$AWqzMc7vpz~efeC7peR4v z%FN#3LEU_Uaf^fYP((W`Tu15X0xfDgE>jgEt2s=Y=pQSX;^9~faJ-e37kuhMlktdW$2ycEzTmiO3x4SY^sOLW6k2yuq(D`fDBA$b8j*CK2QLRh4eh~*K?45mU zYOS!6St+*&ou%T{5I`1Oz#GU|$Xnc~Rd*bwIV{FVl381C#LFNDW@Q|~9vtv|*lV5u zHaSDxsSh)kfHo(7_BXxB1`RjR%Q3vG)vIF|t)5MDg7^NIL8(sMQ8ByR!vf2(_3~ah z_S2uoe=rEoZ(ELcY<#h;e1zMSC=8|mYUL&wJ_3nJOB^fYRL;oc6#$%Fais;IlLJnU zIIoNoy4Q|HTbjPj`ljok&8#AFbR0#1HplgaaQyjEQYYGaJ;Hy*Hq9=+G#)QC-vpM~|h%+rsB) z_-9T}ocZvFq9x;;ya(X4TUQ1r`FV7Fw1GI%%f6yCF_x+n-lf2s9~g7$Gp@Dl)~P|; z0rb-A6R84-~9s1OXoWA;mD6>nVgdDb4t%R}>@#lcXs96qBJH^|Ejg zF!ArzWu;-5Z=<>NNgrzlQ;5HTN*0zBBy+hS>co7uekM^>ze{Vql#+iuah)i?Syw>c zCe%5!R*t5U+I{Pw`=A05@IZTb9vAL@|JVzB%@tW{)QlC19*Jx63^w;Q-T3kTdQ)j7 z0I`-{bjh?xf4wOR^8I#uZl)5SC4>a5bwk;5qoe0MHvM5&N5G}aAzeA)XLX{p0emvC zw?4aewt>=Fj`=$Km%6OnZrDV(nQRacC>{bWfXs<-CeMb%>Hx%fl4+uB%ZpD6`pVeT zSQkX{=v}&Ig}M4>EI4Wb?Dv|4a#~&oess(7!EGJdRWk7G{3YUE*{Wj?af zaz4_*=a0JA;fwvA(C#Q73+V73gTuPMiMA9k7R?6Fi1D0+k@?{+>+B@&CHD#E4rP2P zOfnHnN#E`w8h`sN39`c2Pf|(<#{zxLA^;k(Mfn~XxTnY+i=otbTIZlD)TTE5252EK zdU~o?Q(gM|FjE5AX=WxMLkYZaTOA#m{sUF`G{S>STNs=^u`gq7m20r^gm8uyCHjN@)^&f@tySd6HQ_Ez;y!Hv&V-RhPyfuNC*mS zqk>6X323&cz1krSz->i)9-}?DMLz)eNF`7jG)09{cU_Rg5gnJ98~pi1bqr~TY_eBw z+Iqrd;CTX;EDR)}o68#Ov|;Rrbk9g}C0tNnu4GGJ*DOgA4LitCn?d+7tE5Y4>yq>7 zlfT<%Mj4em%atE_Lxbu50y3R8u%Yo_`Oc}G9BpIwv}sd>WUfgPYXO?jp2&jCt;Jm2 z?{q66j9|jEE3awQYY*7H30FanYHS3#SM;}mHzRK6XBgQc(KbnH(mJU{GD|**%@+Ve z?riP4l?lO5PBqF;4~+NY*y1qQ5w{uBbAME_uV?c+M+ir=2O_)J!vUpqgyiN3faR0AS^Y6ewAn zyceIXH19X3n$wjQH#fc*vv8aFMJNTDZqaKtzzm|m=APW>PF?dIPio`m(2gAqA9?}f6|+btyh zsjzU7KXTHTuD!>!B$A-kalZ};4a4e9`au2JX?&xZ3jKNv_2l#J!Q~Jv7$^~2@lq&x zF?C;MM4$x?dn=Vp#nRJ6-Bb}gp*0zThu1?|i)&TFFv0h3j6+#eux69)h5G#i5d`1M zBmEp&FaY_9W!8O;u0uSzM&}~fVD{DWnXBE=ZP>qV311Ff-@sfCD06pj1>Jq3TtyRmKay$x84h(QWt#I~D+$-B zQb(TlJL7Y!?VUZnVW1n`miwZc2#Y=Qf~lgx?OfC|2^uH%1$UEA=8Br^3SDnK$%r1l z&8SNfu+C>uGun(g!m>Ie?{hd7Vp_%@tRr@p(LJ_{D!ZoPJn8cfAPWb#MrTV)2B+Sw zpxJh}s1f#P56Jf!N`ff|J(&Ebry;!6D7ACcx`AP$KcwTW0f@Sneo~rYZ^?^1MRD~u zl9J&`W^%3+?nGBE!ldg->p9l|!%AgS7RBB6`Fy+>OVt}U?6GA&WYrFm6l4odThuUP zr;JR{OD#~e#BgD=!5Go$20SzU)l&SEm4j1Njxp5lNejfDbvf;t{7x5ONeZRO%Q(7M zJ&|~XkSWMwE_%Po+rZl4nfe2rV${y!Ctt`dU_J+rwl1qH7>Te*G}u!&EHg+f2OjFK z4+RmguQK#|`F+D_G?k0feqXXqU5;&wd{xm2?^uT%wV&f0W{|wKcG*RnMbi$e@=?(t zIY&&bM@dUjc$jG$E*DeOuezI**qL(v^jR0 zwZ?98&)zW$iECD?x^15Gc&Drs!zNDWE3kM|k;cE#pcgDu3dNDF_L31WPoW7M2$ zPI2r6h|not3kc5di=MLo<{Dnk)Pjke6TK5mIh9}#dhXQQ;O)v#{nxsk>!kU zL<^Wk7=FmhlgrKP^wD-pmwPs}O>_r=52S``qkg3jf+g*JO;ZM_h+0rMTG(ZZ1fTBs zsoA$Mt0gM?5Hlc!$PyiT4d}{vg8YmV_ANaf}7iFY|OV7=>>(f zbpy>D+)K;TD_~NfKg$)uI}jO=x7#3&o(n_3dSaj{o|Yk6I|N36{)mqplBK<)3%h#D zD&Y=Y`~};@iE(br;g0R`+PX8H-^b!;TW`AevR{3eyRg@C6ovThHkggLYpC7TcP}7q zdtjqyC?akQ1}1yvv$FQ*7+dyaxs(G$`zdc`D+&iEL&G@@;FH1cPCqt*=z29rVBGKU z7`)S-(dnZ2Rd_~<0Uo5PBd5Sn2w$*~EuTjTs!)xNI!`mvMQg01ofGHLD4G=PaA!Mb zb9N$aK7ukYof>M+=u0Ib9-@3MsHxHUGTd1y{`KcK$~zJ8H}j#)40jqn-d>j|wH1spM_5>s*NK&2wGOEpkUULHNdOZCc@1!4Qk$PyWc0y0?r&6(x z>g1c1eh8MGqCUcl=0muN5d9tPQjy5DOWp~>8%k)DNwqK|+!SdOr*6D+L^BJQvS++b zUZ=oIF{KdLQy$MBh*kHY$R#Obu)Q(D0r{Z?v1CC?xK31iJ6%GXLR5Jp0D+IT#HPA8 zYkCWZKzVh|>2#$MMvzMr*%Mj7AIXfy+bvyaLwyR`U{I$;UtESCseRaj-!j1y>(a4+ zU)QRl4IRDwAw>Vt75j?#QwH6HzRVNV9eXznk|+^|9yimVbz1Mb2BT_JJ^{5=05h6N zme%*+aL?_!<{O!0aq1d40!XP^4EZ*iLnNjkNUlM>F59Z2RERl|Ae;2UFI0Wof@66K zkU7t-0V35HYkE>7PgyN3T?C03Moz4qkUzBGooI2^NA9+-ECeA<7W6f3W$?L!06k6RI zn1drwqI+A{9}#Q9gyZB76Xv&%0ZR>K8VFJ( z(*_}^lV%;d6zKxhmem^p3TaVzTgf80_O#ZFTiMO7N8C7ic2?|%t_Dc#^%vV%ArMk9 zOK4GI8UyAJB?YI-ZAtsKUSPI*=Z}Xpa7ZPEmjpre4eNRSiy`czwt5dRlTlm;nqUfv z{yiak^UNV0c1>PtQE~QdX0VPy>(1k>imLu!m3+SYLK}6XE9+3hbu76s2HVBe@B|;u zz4xn5mRm&<&y51TS87o8(pK^cOP>`>`K-dLK6PW}fVoRX)b|nGMPYpMBQkhUahI}? z;po^vl0eDeN}I-pPF-qG6o!MMBf3AD`_X8FIR0B${d!5HN&DsWbad*|C2^4?Kax9q6Tvj zcZ|LRB>A6&RMYvs2kYh)KfrzPxS1r*#%LS67+F?VGm!v!pIX>~Y@db_Wd8jFGMmxD zm;^^@&0NeJ6wAP#8nT#L0YtTkc%5$urluZMYKNoDLO?rioYhqc*Vx6oDdnO!o_1}N zxfwIDN8qWXg--r#95@K%K_rkj-VGSF?dt8e#RM|348#)M1->lT9zq-#nzq@f*pIr1 z{Hm3iI^Yk-G}|0$6y57A1T+-wC0P12G*HM)o`tivZrbqGGs2T6LWHtmotOnnl$M=u z3J$Li;vLhyD$H=#T?RV`bT#Y`S>Ooly5)=ZCR zOkkiWMPzGghf-`a?>-W`D?zzWeoEzeg$Y%J6XgYbiOh}=Zd&%BMI zkqebYR;8qr`tq&mahbxoZtICJpk-c)90)`c=k3HX=?}TbYD&(b;_iz!QKFBmhSJ)* z`E(!z(@w#dRwUH?&xndWg=7Vz1nR0L1Gm7&u(VD0+EsUw*_C~|#^e{Vir(>!z zA${)~-3F-}^FgJ2J`k97kZ3CC0AB;okW)OdF1#0_vQgjYFu{9}yRv@rHlP~hlFAG} zyD$PJ(kx7YDlQM5u8=MXI%}vBYkfx^3PZ^O7J(}T@1CRY4SB2A%@aj7tP^?)-jgcq zdX)Z=p#7UiWYNS%oCxTZkxk`h4%w7EIUNkcF2mhnHFypMjX7 z&SNe*six<{`(RE8zRfEPpW;qF+O2h#S9zX&T#8kR_;KZM?DJ?A2Banp(z;JFltjj% z^o|lbKB|RV1e6{OyI)bIMns(!=X$o!C%*(%?QJPvLXlELn+lv!Do}27?dNY`Y@$eS zn|k)*G^)Edsjl-mu zd!J~sV~^zY0(D-YyUl+UEtLI`>P+&(;4vLm0_zITd~;TO+zGoBu)lfHQePYYRvCDs zqv3*B=#!!-qY$#WUkO-$B#QHFOT%iiNSf%b2}*n43@(-@lodQ-qnn!*rJdXe)=&{ZzOtO1((!;V`aUV8KGA*ZK)D_ zQmN{CWSk53^XD2P7qU}kIN!$h!SaGq7MLT|XT(nC01RpQR_^CcI1OWEDW1!;UD`t; z5ZGVN^RSaIktA1628)n*=6~$YZ%W5zIdP(u$<(PM?upj$xalhwI*X?C0QX|>+?%=O zX2jhaynj$o)N8e>c*y26X0ALM4?`s(=9N@hblX%n$F|a9PA}VupQ+?dHDo8_*TF_6 zwC~{q)I`P}H`{=ergi<%!POJgY;*kTDn1T+s-HGi%W=xzt$HC* zr@-Q=)Ax<{^4eKV=u8M9X54I*CsBbeE_BUQ=leN2?jb*wJ@4h)kcFe@O7{+#ktY&2 z^+t{Ap4#WT1SFL5D&rZM0z4iPMm8lwIQDmqKJU)_NUl;fDy>Z4M)gXTpxV1doF&Cw zEwVS2w!6@GU9c4QaC*qb@TyKjEELv!<(AE0EG;g*z4{`zE(H}jLM|Dmp7!&XUEaNl zD&LEXMcU7q?|e~-iq?ls$n|D4i9m`!>dvBkNqnP${%(P1?;K5Zw^`L_bim4}<^49| zwR5OSy)zv8opdL~0SGC1h9R(0*lpuon#xy3s@<{2s@;>J<>DR3rsxzKTUZa>^od+9 z`}fHQ>ec6ZniJ$7bVn>;Vi%mY(NyWA27)57hI_-wZ*Ox~oJU5>;Jo8o1E+cvD58-f zgf(y`ZQ3(!HDI#tqjw%ukcNx$^z8X0T$+YM@87x-xfD2r^Q0J-%_Apjegdak1}>~p0e3eghFAO z#Rx`eMVOB`OxFJCMImt zvL9-X5?LClTEckGMd$tYw|R&`{|5j#K*zu2ze;4K#8QqMf7Jn8j>&VjqK8EI^3H#p z-PI?oXE?XM@I<14(Ira%*`%LHS4yC95#%*O6G$Zr>VbVbx2Fn1=E3gNQlTFdq*PwnWGiuroB^30X6n81@H?FIX<6Dhv zbE@034U&zJu(B)gTgz0I!s2$Hc>aiZbFn-+pOB_-{23Jbd($p3vV-vr9b8LJYD1!P z;r5b%79{q<%cx5!jd~XYVQ5pszHqc z&I9b;*_ycaPlid=`pdmmffS;Y^5D`P#Fk@BrD2=SAdL1@h$*O>DHjK-lRy+p=e;x$s;DXO z%j?#!L%HKhM1t{^&hKVbvVxJmstU8PgRcA=0_K2G8>JpnK^|vUv^zlU21|kFgJ@$H%aZ4cjUyEQY<+6uz|2(k2pG}{r>3catSE_-#bF{*`Jrk;TKB~AkSKF_{Ks|j+_l6#+QOGe zrTJIMZ7k4W`qaW!5o}dlWKBG&Q6}$mV>wiPaA8Iz+02UTOQ7t2!=N4r7)s!aZ{N~s zuw3KqELuU=$?Ig=>bGJDHjmDj|9+wENcJ+Xyq*2&4K2({;m?%QV#XL^H;<~Zq#rM4QeNF?!i!>4=(dzokuLAfl z9vKY+Auo^_*)MAfNMzL{FR`>M8_PmMZJOu-qsfLb6^Hl~^Oz8`@=5&FxrR~Os{jXe0Q}*S-;Y^S z&|W`UG03Id?LZEyiC_)>@L{`sw~gq0HCdk-dHdz2mLEl_=Y%?5I>18jFJDB_E#$&= z23=zx8jYM~wK_a*wx61V9J+7%3&#F?qTJu0wsvewYJtu^H7wzgtoiMM0@r};B`KEx z3_$b0D|WjDV@Q_79Xwyx{!KK>XQSWc@P^UdDNfVdl-KP^<>aUBD zvv_`3@R9{X@p$u=uFrQ1AXR=WIvSs$cd~1>ra!u_J5Nd8tDONo&e^XJU^fOu->J2L z9bLy^p`RaT$qfD|Aq<4dnr`KVuZntP znZy$fMD!wO4p6)oXOp1TDp9*B@_8!_UgOg7NL!^7)v+GM44uEH(CsS`XUBwUe3ZDw zkv_AZE3P?{n4Bbsb1G4XM8(zHHd(d9gjr*U%nzYgtim=0=kWMJBUYEHTn(V;IHCS1qZ~9k_N#G46BTcXi@ZdF0Sy-Qg$G=0^ ztiR`79`|~k4Ht7(OTra5`8KX%HVl_5XZl$bLQ2_#sR4IMi|#HDirt+0o;ID*U`Cy$ zGg+}_de&S#;LWFZFv7FEpJ#PqOGWxhH#$xfq9%99p=tP0YL@&03v_0{t<3MP!X^{_ zc~iGclbX*pt#C66+qYDQm{9gFHMaM># z0Tj0FbHPmcBix|f611h7^O*KLnf>dxl476lVj~6{S0=NOdtj|QLCa(h6`75KeFHuj zr2LsaB-0M!z(7jTlVV^k2#+hZ#C`=TYy?ZK^ckO!MNrNv4X+NGQ`xOsG+DlH=W zf1p?&5?In1%qgY8k6$4$?pc~l`*GSHY%sxcSZ&#>?FIELM1&>*Ar%nS}>rOTVf-(TsT zH)6=RJ_1vZb%B)xAhf-SuLVhtEOib!-Tgj4XNh!s4S}E9o4^h~1%VW*ekf@Fj5|xW5EP zd*p_yi~{({+93qZ6uxGO1gW}eH=&;FD&=ed-JLV%5>GU?M1Cae44#tB56O@h#qK_?W5bzS1><2UF-x#^AVrduJdzPs>$hfY-ax@w)T?~>pCoFzuqGGQLndp zaJzDp3F%q-*EAY9)-)F_Xr60rcLkjJ>2~1HmHUnQ;(fv8y$KbrXHWQ$Oh|(k*L?5O zwn|KjAf4p#Ae&ttj}lSW8{FeN(%X;wivq&8$5GqQCEcQNyEk#OBS?UDu<5!S=c|(w zHRceN4!Sq^I{GU+)4X9lq*nCm)tx;{?0yNz%Q!hrr`4&y?L4NG8cf6cS%Y-{9<#izvHZFVs2GB-g)Z&Taju1Ne!V`aRSZBDk{@6W%Iixlkg7`LMw^2)_eHnDXh` zYCLsK>WD)f!A_eZC$=OkzF!CzGfIEm-M$pj+)B{1XVJE^a zTi%o%pQ)+|^vl;pby12E`JISUH-o6cBapI`A|@`y=R_5pAZPwt@ATxfN8%))MC;@V zd;@=?3Xs{GK4rT1julF9Z72?G=}OW_SQ=m1h1-tAG8KqUi&>k4J*2AkVkG>`V zy^wb2{-f$1=HV0nFTnMl;o28V>hA08J8 zPQBjTu5jK@5rh-5`8Bl$I;!6^+a$g%+XGDXNL*kPJ0La@l2*rqw?>n;m{2ZBCXOCY5u0=8mEarhBBM-#Oj^KL)EbTZs!Kq4vkGK(42Q-S&P0ovIW6O%0ptB2 zQK97DHC@^PSz6^?>zU9*;Q#qrSi^g08Id;CWaONf+(vvfm|3_dEzRS3lNH3$MpfRD zDN?PcXNwN{iAiVZHwS&YvhE@sYXQccZnpjGhz0g_IAQfTm3aQxc4qT$MFMu*=yPg3 z7<3%k>{g@*jvHU?Bo`)k7?~oHlV~coiexxH=ukFYraBHz zf>~z?Eiqh=c)Sw>9T2u30(E|UWfOhu)Vl@_KxbJTafT)sPEqb!RAPE1X~CzFM}g-V zBo5e|g~Xn&XA0?pvaF6cI2zHEVrppv+VDNtOo;mk!bL4+I}W;jo3l4(1uNnZN1zBj z!MF`B#)@q-#mZIwEVL9r)to$jE4M~XFoF;gDYwB8q6Oryg98oFO*IdHJaq9V#Q^UmV(qsB4YMJku z>!OOs?hwZ~ujqn5*Fs>v1#gF?PkhWj191kxeZ{1YNC;ZgnP1u(HKr z{H*<7m*;8>pl8_v`(}iyhH_xuMn0p{d@N%wv3G(GL%e8e{0{%O5DK4mkPRvPp`sDD zza@p(QJs!Bnh0Of%^+M4EgM-RHOOXDv!>okg1MX#$ulQQU-2PonP+sx%b>IG!=oTX ztl3PAFQWBW1Xgf~QFe|xXy?zK4X89$NhRtD9XZ(amUE0NmgfBUv4Y~(r6Lu2Hscr+ z2{=qHv-dVb==d^+I!!1iDxDvp>``f4QR_L3ESC;2MhFSW=%y<(l z|F-(1WGWFLS}#BwbmvR-M|pkpPrneAP~-moo^)gMweEI2;Uwm&9b5tsw=OwBrb|C$mN+N55z+HY+ z;A9oLC!6k6n;b*=AOlP?uP3UfJmiq=HZSVL^34@>eVTs}^c8nWSPnKUe?AN4Zh$XW zbSNOS2DajtS+C`r#VV-rvz&nrhqpch5y0#d*_KhU0{@2zWR*h}?1u9^3v)|`&%T^= zDCoET6vh!uoYt+yz(%U=$LgpN3Lc7b&rY`}uP3JnH%*H~H>ZG~1N{=B^9FrSC4#`b zDsIl50HIm6_~#**Vu}x}>+3$;706saJgabhf{Qh9=^U$~gN0xN;P@Q|R+nX!lEQ&Ik%smAZJX|woQp`)5#Un7EUXPX?KBZAl+Ztoe( z+xVez9iV7)yGn?N_Pe}TUu4k|z6u`pmyLaQC_MFv?tEQPCai~3_mC0$3Vk8Zk^aLC zlUw`Hlu_V(Yw+zxo$lr!r-B*jr^nXE_1%=*2MIB8j>?$r6})@G##X)gFBJ~ET0>Ma~Oc`b>AGhB=O z#L3q@k<7XC{e04dmf?#kIiPSt6B+Nh6t4t6LWtCwb!QDbcBgI5p^Yb$D1(Nh z4;xC4lWplg>oigj+asrzd)G(<=~veh1pBLMV6{bwC7W_iw(F2cDt?Uu=B(TrEW(>_gs_Cv(U8z6mU`6 zu9_j~pVKHxzFDubk;ed z@|^_`=FB|K~6o_(bOjGZ( z(8|KI4sH{3uDiie{)4{2f1rOD@1x zG|Ry)2eI@mWoj;eICKf-gs}8B<*Tjm)3eU?VQCuq z4B%HwCr3RM1_Q=UVo(Z|HSWDkD9uV$^%@#(gcC%SidnjS#Gf*SzBKuOEA#@iA91k6 zG6CH^AbDSUqr|&63LF+(vTlZ{f>SC7o#dljBB4Acoq|A>J z#Ev*hiu0EU8kh>hB@j+GJYdF@`iy+(SVIXrxb9*ROJE@Al=PpY9|l+@y?(mk(NzM_(u+S)X;?$tS4-W zJo4-B*UnW&|4ne6jbUizX{2#0a&{Ll-Na#rL}p0%jlfqmJSFN zq7VYoIqkJnt~L+?cD)d1$Ei4 zC7WHeX_!GGIzh#|Jl8)yT2FZ^icC|w5#`Tx1eLoprKwU|08gyt2CK|xl&zRs`tKFF z^@R-G#aZNa^Eu?L9DJ6G@$09DULm?hz6nf36KbT89=03;^AxRo{??@Gbwd=?3_|S9k{%q~Z7UMdta5XD(Qe(Dr4|XTK!CJwSM!@ zztBfVsmv_y^SiE}l?2X)s@v=e!yg;9?J3Aqi^^^izK` z((tjd1RB!f+Hn0xzaYUd`ykbeXxpvNB|T=IAr8x4!bDUzek{9v4^w$W4R%G+Cq|io z_x;`Ga}WFjgWyt3&N_B^`w5<&{|5Y^!CzVirJR&43k|YH^-KLp>Ogj@Jxd`tsn{ny znn|KJ!EHEs1lHTXrk+$}d+R6}xQoY#Ryj57yF<-}X>tmGGZ)@>rS%Gwo?J`5NnM2T z0=M>Xtq-~qD8lIdlcfRMxoK~@{MtI3U@7kp4PfZ}yuyqWid~HEYV7K_zx>R{U3=;Wg;6yf}xoGbzJ)lf_1NaRjqjHBv#1WWJ>w zCDI`awwG!HzNiU{8M8bSaTBVLXbnX^IMjE{FealvLCtK3*yoIA*j<#74KhSso(E;A%dp2VgaII*RkDoro48=jzEhREbJo8dV{6XuSdkuu=_QTvkfz3cOsG)F z8fsKW)ox+UA&!4@*dri<-i92cS&DMtF9pG;xIpb{CX5^O%m%j1 zNxo0M?(HGmyq!UFjAEaj`jW6|JrKDGW8*a-M^AX$n1ZxU?c9THsW5NB^x$T@E0dJr zSmAR8HI=KlC$r1=IHw>r$`Gm!#1C^$1gG|=rb z0V);d5&eX2&e*)UjTko`HnnJ^B@*_QNs#N-mF=aff=>uOeD1CgUh$d;?&1u_5=i~U z(bSu2p}{j#p4Y-}fFfzhEcry=DuIC~2@UDWsZVu$DUT#P$!L)s^o0F_(ns`W>)-5{ zM$LNuxT-VXIM8PnJHLN0-A@ue*b_@X-@I_ba94PY4{?ND4#3#7bDSUC7DZXV9Hff* zSB>N8_5luC)19auPA)o#ykb}3-KuMRy@OK88`}Z+vsP3M@9Fn92Y^-f|eVWXPGIMup%o%D4@S~(wHGOuTvBt200Uc7wYM1>fXY9kEMLwuRrspF-zY8W}>{t%xi z5b9{)!%S3$F2l^JqN_JFlVu>-byzJ$-_DR#-nHVIErF49XufzvCg-4(aX2OR!8VnGv2iz5YKuK;pk}+1^IRn2?%caAZ8P z65@1wOF%fpj%V4mOxRx%UicI>w|F0rLVnfjE_&1FQqk z6SX~%QBz)xx>c&JRrYSC*%dC|jEf@un!CLXH0Sct8z3XJT7P447?u&qZuDj@H&RSn z(@we_Et&|;*Vm>$Ei;w%bO78NAb{>Q;gw|7EZ0>zRt9T{V^1lU31k)OF*R4L-D1dN z7KU_N>cfYww&rNwF3(u1b*{V)xeT$x;OsGSkY?`e5V(Pb;O(=<%I-OQ8eXqM68cvU)-J z2r@(9L!pwS1uVnDFxR&h?G5u#0|@$k158~@E_?_sje{u1<3wAeJVenuZ)R8)S<;$* z_onb$wP2;Dfs!^B7v_4dH*t}loVdp8?SXi+`Hzci<52kGr}HuyIhq1J^E5&_^II!BP0A!=phh&k0gW=(zH zeGfT(YN$_tz(O5cd1$e)@&lD$80pPrC?@ z?qb~};Gzd%p#lx<*BjK)-{}ls1#-*;i3Rmf;0srrLfLSQ$$m5BV5^xzvh7si%{U*Js8xs5fMiw~|te;0~;|nH#lxGjU zK9bjx=!htH(0R4}gQB1|Ng(za7t3Rfu~WlR;MtZ2Da;tt73&LZcLKy+1JZ*zQ+{}5 zp*I{A?;nk#w^vNr#i->5t)wc}>6UWb;P;<(BLNYo&-mW_2vIa4d7l?1AIQhP6Zy-+s)iWybdp=ufmeJF*DEjT^C$$HBM0W)!XjR`^>{_??h*{DQX* zp&lI6g!=5lh(Xns*sj5~%s;oJQI_$$(OAAyS3m%kEcNO*|FezrE^20@0tXI-cG~pd z`8hG2N%%K|Sl?-l2Lv(kJ_1YYmku<17z?1kno_O@o(>G*4+3Y)~F0jt8P*Azl zxHb`t815a2yc|M}Kr%Oc$e;cKRF}e#)8NhzxkU`=F3>9OGW{%ZGz0!YN=C#f7L%Ae z9GA8Uq6+HD1Xn5?;^y-ba=RlGo&|u+S~COg%r69^qrfW=T0@+h?wQ!~S3@a+{ffFx z4oLcKQ1Bp}_%7xm1qxftK)6X3=#g0}p&}W;%X)mrzA9%+9@vl^HEl&b8Olp*&N$!{||jj2aJ3A_E%6__B5LdeN-kpNaX->8xhS3WEh?JKSL}YZ2;_POm8r zj5OCj3ZOvT#Njdx{`ai?xWJQGxc4oJ5uF1I>1?LH{IB>38VPK+5TW4SZ{mud%EbWff zp7Mit`1DOz7V55_2RM?B>k3It@)P3cYLoC8qTIn*6MMa&N@fb=K=|_6AHn}GdK}%^ zWW`Xfkdu9G7XwaZ(Vo5niRVt!{((LtE(;27wIc#eo_c4nyx>Rtd}$U0_avsQLvqwa z0QzP7il0JE89ZrBQ*c6Du;yqWy?=rx2~<$<}< zbD1Rn&p(jpV%Wd0$Lf#P9A%>UHe3(}OMd|ZkZ6WC#WerOdeZune*w_YI7q&VV6*JO z0HgI@z3Lc?$0++nQBa2Vz-nhHR2;VtmvP#V&8e=q;a{|rg@R}m3j7?; z!P%`pJ9pqwV#ocPt5Znxs@kbh_isT`hnS`f_-VzrBajBgJcpYPf<$g_d&vpyro3Bx zGYUaT%S;+BF54Y3990@w^jiRIPOY>8X`&NvTx@m=>T$Ef1#qWTYZ_xO6ABW7y4h_C z83vIi65|;oK&m^cQJYxMiwxuB-ckES13_PMh}?gX7`}TZX^z_P^=3(o!uTJQApwiP zdGPJ9w)Gh6TJVUf-R_O~P)Mg}3t7ngu|oUF5jV%JB~~E~B}k~4xd48!S#8%191kvH z;oT~?G4TSQv8m^6-XZ2lunvuwJ0%+9?}CKB1Vdn5GP7Uobl+>M_s}K5$~w}IAT^xN zjcBfJU@sQC()17|zHF;{ zR1e9$i4HvFdLk995_Rx2x^0(672?D()R$b|RYA>OA691uOAWT4)w!L%M}Wl377TCU zQ%@K(86{u~x>s>Koe(n64fKA5%1d{*UJDxCXPx_x6Kur4^qm!63jLc>rmA@T9k9T0 zNQC`B%jaEaK}$e1q%=>S3p&0gJk?p#5qHK`hbknd*qqObC#?oXt$>ULbI}A;C zGGR9(PxvYBI-Ef?GV$k%u^iRB}_1C$t4#0;kXG9ln!nTfM>q&vG zrClQRDn$hq@D*;p*JI4{>C9S;V62n2IxonXhPI~)lRLWwgcw$jy#<-%VnX_LKIxyp z;!t=lN(%Vo>u!foST-CqcZK{B|JE>b*=xG~`vaC{{IU8%TL-qMXvf%*g$rSy`vVu^ zbA?kwCKDh@rnII%tC$!?!)JT5t27IVKZ(838bcm|e&-gqt5~1Mfm_N7$Y)q|RMr=q z=t6Y4G7i|aLa$K+IixM%wajwTH4vu}Unru|A9_vxkJ419K_9JANPUW2b3g)X4$y{=TV^@R+71jm5q zq<4NpZo}+-H5Q@_gzwVg9{d3;bfEnqa4(x}Sf2Nm_9b??fMCc^$R%(`$071NBvDmp z?ccnX$O9h>gD$pmtdC;{&yfkdXeSUTD>EN8Zl3t1g@3XCO{^*uDleXi-qhu~k;C-u zS|ce(mI0#4BDDqyhOkXO+J#n|v$e}>ecsGy1}2ip$p68s=A@N|d*B&_XFxs0nlLJ@P0G55I&E@tqTXp>dth;CCs+neth{LC6Xv8D#`hR%BQnmKqhCqHhx@4?oDgLnTC#fLQ4V zq*jOT(Unj*_1Mjm5$>(WHh5Y<9#3Ggh{25P*8DzJK#8JmTBk-4_5!XAXI=z)L2C?& zV2f$BnTk-6>VZM03_DZ%os8DdL5k5d!c}ti%ZSG55;o8yR1CZ~l>A;_)AJrbATGgq zm|E6^^IE{MZk5kL~GeF2bbdl8nA87}eDXwQnm+k3smjdFo2hJs_gK!gP~H4>%Gbz=un`ikn{RKp`;1l<+>UKWo7J zAC3AE6-|wP5+cYny>bA62st5E1^@0X@R`T?o1Q=hoO7Cg_mM>-Fp@#?DVRGz3sh}4 zqx67NZprwNG=x)B;JPzC817E8@(`?aPzeAWC*Ijgb4`x*2Q8G4RgI0Pf&n_GOY!I1 zmB(gqP$>y>(>=X%8`WG3>zNIgD^6bDqCL5y8D_S^sJY-k9Zzeaxc=5&MzR|Exk85cG;5| zLbT4=MRdunzmOC8b-Ae0gx8MaQOk~nz{4AN#^`SJ#d{Di6^pd8gXk-0@Bw6v91`ce z68CfCEMDpAv6%8iaPu2}Z%y*6Vxb!AdHd&fz)t`3Zibf=UApa!p@4sxH_C7<9lKe( zZPsrQ=IS%Zc~6X@R0scgpGeC6;@Gl)z!O*Y`oU|t%6Q@&0ae&4d>SNka_b6tonWhKlX$ z6*qQJ7H$Uxx&=?dGwy{hG6BzAnsNPxO0<^3MsZ@AjaZh5v<3Z+sJ(clyAYxbf9(agW8Fp@_cFv|_phy*0-R95@l`nOygNj>?pc!icb5Zwe?? z;r$kpiFIC!goVE*97hJ}}i`fU%P| zm;|iF>#RhvTNN+(EV+vWCAP~7d~`<27D~n|tqccgWXa+>87$U-(-PBYIblDHno&KN z0J#}tmZ0}Qv(2EZeBk^_yVIxdPWDv$NEVnn!L~+uY)sMzj&n=zD@<9TF(eXFWzHY( zk+*@hk8@Sl(N~((Ub1jz5~0&OR`Q-=xs*S{OJGr@Wc+;`IV`TpPFvUH>*utKqO_KG z3dN`l$p?A%1o0nYo_S-)P2RMMzG>gLC3|U|V|MiOsP&fSN+M+2%pBe2{H9$i-Nv^! z)j@3dK5#JXHfNWZ!!fz@`=q3-q|NkGgXEv>Z*5~gc{VRtspUW_a^88U^>SGWDJX|H zK13I)81let1H_f@6?;Gat!B7aoP-%;1OG_P24~c$&Z=fnEd|47wlU?s*V9sMa&@L)97oCEm+xj`o(Z&7Qj|5~*Aj5Icd zW}Zsf>q|!2S$^Y`38{(P3!p`Xr}v3v;=Wa)jF)e=>(Yf|k%5S*MbHRY_pDe35xeih zS`F;kYV8VEx8Ul(8e@$3WcZ#FT)ReM^RrX;Bb>j`J8~?I_TL0YTL~`3Fc0a1bBp-X+eSuc8Z_H?C1`%htR;|*^-Sh+~Tw;X8$ z%Dy#tYOR0+o69x!E4x>-@^3dCyTludeI$eZZdmA0p)9}|5dFacrT~kkvsB48M8buj zsD^HzaBS%Gvzj8E=peMcfwwJ%tA35z8}-PtKJpbGukDuu_T}c>Xz{aRM5N93Oke-$ zr`C z3w*C$L>pbKO22oRhpwvAaC8$=epl)dl2L%qa2PkF2{|mYvU^j0ChzY_iI7FE$k(Qv z#P&sfc@-iv6zYZ9UZue_oT~BLImcb3)OJ%;9Q{D z%sXOa|Iaw&3XXq29n?PtogEO1%p4JZsH;d7dM8cNz z9;J{?Bho(wl@||)#i^nWJ455F3b)^CQ4QgZ`@c=l%S3>tpbR@j=dB93;BHh8;fndb zO3lngfImB@*W-svrdEIw^|68}m|f{@Z|Nih0BoMCQ4?+-OX0+TQTJvnxIIF?`P0%r zaepW1L-!@WpTY`bIIXQ6PF@PiDBu&e znOiT{MiHebH@f+Cb>|l+)RpzH<%@AO47McliVYp4ovB7XLl~Rc_8{)lc*Qi9s z*kYwLG^*C-mRG-ixMffp_^B1?iVGjC^3BXdZhbECT^?Er_{67N$DKsP*l4jA6_2*X zb~>wXtX)qY1-~c)tt>&*AjZQ#WN{+sUL#@@3f#zs?a6xh45INYD5b~KgiOYb&477L zJppD#`*(^XbXil<^8BoJ^}YSDt%G<#q=Y}Z%VxSnJ-*xHl3wAe>YSZ*Z91HOJ-5bU zx$NR(e}yvvh*6P2MIIXKOfT_jb`))KX6XS2vVslO6vD})qIcH1fA;{N`86o3!o_bv z&X&}Eh+||tntw&S!(qMP(Nt+`6Xte3c_1tY3FJW~?PO;JVP#d=?CX+e_`Ud>sDp-M zzoTp6;CI?R9h=L#YfH-FH`^(0i`_+yH^@7-BPs!rjcTd!cwmwA@3f?^x z$wDx?4I>YRp_?`ijzVnm_QAD;<+^F((O9RsrW-gj&ZHpH`+k2&Hv(lh;ap128nmJn zH8ISf7{~8&Z#5w1OB%mBDXa9L!a@`csj>MEYXF<3To<&G87#K?!Kvm_F=OTB*48V* z8r(**TIlpI#qw}oyb1?*%&f}vCIkZ(Vq zXeUQt1p-$*9+-kfP!IjpEo1VI!W#yCl1B&MWOF8463eiL@RFH+@M|4ma;D9YVj$7~ zoQEXfoR*Oh+KJa(ui6$JYZmLGce!K)oNEL#;#u~Ow{VlC5e}2~#D{jnq5Pnb6N?+4 zC&t?gFhTYh_cz}JxV`My$DOV~8x2TJC6&oGM z_6NlI>KQ5}CbfC}CP_AAOq#5{FmC)H*M?~p=g6cvG)z^w1hft=#9Pq?OT)=oAqC~I+ZIiWgO z$e-8fClDHuF_I>-G?FeKWlEL#z+`D)kfUR4 zGbS36y1{WY3iS0{ zFbTb|Yd8mk{onFKH!F^#H5I(4z%t~lc|rvRq92)eciii!^%#|a1LY8t5Wbx-@+y4y zWQKw0(n#~AXMeO;p z5Sw%JNtj_O7gx-np1j_BKJ8chR`iys2GPAuaigEQ?` zZg0>P5XN4e27-+l?z~=FDTLKK$JjAOn^&44{;AH zV|md1phWaKb5>Qaeih9bD7>yVOg%vlPF^>r{l6P>tl6@hM~u+~4UH7>4Uv*oZN1xN zy3S@o5k)9Mihz{#4(3RmIk7QmW(Of>f&$Bc&tGa)a=*2DBy^kuDpW2V;>C`}nmYx~>em0ZL5oJfCu*RzJx*s51cjkeu4p|L~}D5l3o)11NyE1t7zh&eJx;p}6bk90v$ZGHj>IO)_Mh9VAU%(U*claD$wL zi~r0+9u>$#YXT}jlA;au{HXdcKkfXNbTYYYKUaB!I})(C7y~E=mf{X}jwmD}Zsxd! zm+w23X=THo+oEWv5lM2|=ngQ0Gt|Wz67-{n^1KM%z|MfI>-_#8Dr((qEhg}rwQTOB z|D1P1F>SYNJ}fU~iXNl}%b3qe=X~fL*kyv$6oLz#vE8#?rD|1z+ZWC(qBzenY{v6K ze4*I;kYaPm`I&5eKVQnPEqTHYIgOA}tja}2HgN9r&&+~&yQLyyrOq6WkqCL1D_l#) zh1Nwt&cw?1ipS#Oa}-yj7B>-ffre@7Mn{#le~3DLQ78uCnb12`kt$^v{EzAS`d#y3 zDv18G(C8siwYpUoh}@kjM|~~XLm}#bl{b0GSBve|w15}WSI0Q7CKW}tnG!-UxAL~& z9k+k_dlm*^?$%ou^BJMV!h#%4{dl)Z7HT7}SI|IRBOjfk=Wt>=7$|o@ifKSz6gnHb z_d9N_u-P)1owmfEr*Q>2`zNbI+gg0nMt>k5)5zW(2f^lCVwWMF0z8hd*)*MP=jrT~ zoxVaVyuAV2G4gc0M=e{e3`W)N>!*rpkMHG?vMp;T;h50p>MFaAO7xkUZZ9tO1E6!? z8JAR?RP2()nQB7u98pI!K>pC4P6<4I<(C2dO@?5ITsZwdalZ8_n5=NR;ScApB?n8L zKK8a?13#Qaz&lWeWlepz6PsqcOuQ(8E<+ks!G~L5L~cr#^E`Qy&Y+JOYeMR|`!%ja zUvy7wDrXBv-G?Op0hq(FbNZUUPMEex8Cdnfw!7zC9GXJXw?RNR2I-H&mA6;oVZsBm zSmt)d)LQxIGbjt8J*X3i?8P2v*gzxo2-tN6hzpC=(Nwr?mG@wAoDz7`-`rp#&371j z1@;Qu_`%)Fl)~SJqBUw%i_i9~pag9nFLr%6TcX4QP$SsM`JVcsG}=V3;Du}HEA}4T z=Q+jLK!R<*bL(I9Fqf^o0hIH@=EXe5`i0+4> zYJgnNa;)f^0}O@~uYsUQ7t?LNgyMqGC2OVUb3U)?PGr$Vt3wu36;wC&j%TXS)whW@ zzYw8*m1Pu^qn>@Rj(jvEF=TY&%2Mn4!?U!OcH|iP`4R1>n$!MIf5wvQbq>z#KlS@! zggazMG;*osS(V&f2doxV$_vjeO{lRbW*7s*I3`#&n`Ik@+6FUSRPqVPI9;RMNS4S&8F*>fZ(DQ%@XJLVBXB*h_Lt zX%+UCjs`Rl8XK8BJTduFO>QV_b8?J$a(E~;7}c$hP(xKz(h9xvRBVi8PoL8?kt2mf z+?0kKN7(5RSwXJr{K3sjwJ}zQKw&YblGfJh=-CMAgb^RA;3(g)ZmOlbxn~p0aNN41 zAWX%(gcii3oMkoL`1@sO>6R~CF-kmw+1|;Qka1kXNknY`RY0o0b?qXY=euiYz`e{r z|Bq*3wtj-ExcV~Q{} z9LQAInq>zKRt6GmK(&fhSGe11Db+Qv++eg;Fc1o|uj+Za>EWo4enL?_b+Kj`Pw=+x zZwuSIJ+PB-)+Y=bj_IiRbc(1-?yv6xsnycL?OTWl9bYAE>=-%+k!QGYJ||3JAqsf znSNY@p2F|$=>~28&`FCEX{1o=a`>4-jUeUmm&bgsJkl*wv%?k-*0GAzy}@VUo9La; ztre3s{B7zw*O_(&2MJ9s-{AD{+hp5#e)h83@YBZ2c+X-(xYlSmege#MLmFgst*cu} zK9I_HwW%NIbPxbWBg4j$t>hoHk6wHCCw!eAR2GAXU_Jf zVqCB8AGtbPOK=urrUPSJq`cv}ZN~dfvzGvxJK_rqxJmpfYOYZ*oWK<4Cc%;i5Xrtk z>>Ms-#3=cRmTk44BHMT?OqK@@1>W(G(?zVROZyrvo%KDXd`?Nq4>#Bb+{Ez75Za?w zH=O3_?kyV!!G0h6ah7*qc#emZf*H*|LyVHX%yDG`7m8Ci__oge4^K#mPh@>~z{BM9 zjI{uIs$Zu+F=`ktN*(@{2ZRmW>#3-0w4lj;W(cX;8sRJ1lKH;^h#njhxs1K@y_c(* z{~mk+H877pC9A|KN|Ils$#9 zMi5>OpBV)lU6Ri`!JE*!DXE~`?b)=@u%ShiHCC)MJ+_ENTnb||m7;?=E>H{cU-zDj z_>gfXXXKbMqY75mv6S zRGzP-T6$u{CfvaVv>PXQ>#8?)wUI=-u)8#b|3JF(LN-6=%Hu-QXDN{XY9b-Y3h-QHod4rQr8em_rp8fKof_f>Cd{74sC;MGC?*IH7=83JZh~bSq7B=nF zkRA29=}FF5+whk46mGARa|b;`t@Tfg`Y(>VC%t+9tZjIb-2U-~A<6IgsSB+9m%@mf+Z33%J3JjSQqTQp zy0DX^(%$fTsr{zKw0PrO=PyMvmc|RFF#->mDS}(4I}K#t+&d;=`e!0h>1RTJD0z2U zbo#jmfpZUCBUhSwMqepkDAr<~bo((=AtogU@FO zzcP16)r(1;J;5+yKw=gU8)>x;KV0ikbnf$Lr&ZfnaURP}PTo%a^ z7{AvhyC8jw#7p|~ky**mK-%68)g!?{@A1ysA2d8DF(s0nH*p zQ3B=^I%46N2V32~>#==V83$FH%^4hcnoRc_tWMa!j7rP5+#is@Cc3m;DtdcaS5s=_ zvxkVM=|HlP+P9}Y^63rHdmfN%#!A2aW@b>$bSgANO6}~~{uy0{PjBWszE@kXGb-0G za+7PW_&;Bv9jH1mD0IAu*>2WAdYN&@;(2NA_;|_{r{3=;f^Uz+1#=iuc=TQC3cWez zF~TX3^8QWM`441Ij|cZojeB3U zcHSo@Bs=@ww3zABMMb5|A9uReL#AJ+mo&PS++(CX(0rZNxwznWz|TMfO>e52`+9Qj zkG@VZW{yugYmRO{kGtZxHvF{D)Bbp%8vYQ;_f@{OuCOyY&4;&&@{CV+g*KPw-%0Pz zxk5NbBzGlshV4tl;bXdDq2A&6J^80{9NdeYEY8w07}2|S7#~Xs`{|SRwj=S=k1ub6 zUgx?hTv{gNT5q~{_UY4XE`|PYv+BJ1++NY#WTO*DZ?@e&ninkfweV0^ z_|FF8f%FT9{jOBqT>ivOPxZhg->WZ;z4_ZI1CF02i~M+X1=ip8?)yblgU9}>*>w9i zLC(gI;Ud|oKvl+Xp*y4v{J-o35_SE5Z3Y;wayk2Xk{U89$pqfki4(}CJIHsKQm||M z_kP9S(vDvq>vL&47Jlt`DrDy-p}1V(yvlz2x~pa+a;+F zpKj;P8ZLLLkMErzl$nnzka(xR!p`<3wQW5kijSda`iAM`_iK^sYbCAAW&Dw?5xw0f zE}oH{>tHOsQ9j9bjqp`}M$@4M!Lc8sHSRAsBe&aAm`T*_MEPaK@=BXJB>b+vairs4 z->~^mj<!l6W1>PO(~* zJ2)Zl(00WC1Sd_!_$p_j*t|hso(N$#lh0Bzp4OT2^Xw1vOC3&Lqx{q*EU@zBp!@zH zro@5#;G8E_f@%WhI@+Uy+zD*!9!D!Ox^-;loUD1MIy-~*OWFBsrwOHW%HMQY{T;cH z-f7;{_8{I}oTz9_x)~^*<>U$yZK^IBzvZ#UFE$^a@cc z{7Jy4%XV@RuW?25wAcIZ4;L*i)R@c+Q0*D0cRfDN_3Ej{%Jj^mVXnfnBE*$dH;m0A zQnMUfzdky1^FsbH-xL+a2z8C*qu=gCac*7<;H2-m8t~5T;R~1cH#B_AzHw$h8nty6 z<&%WIlU2hZ(#{z=iWkK_fxiFaE}{5_H@ z%LccMR;MOePwCy1B%%{iJk$8I_~vR>R9Wyj+w!!P=f%84_SGvn8@7yxPHSoKJh9pP zg8l*C{$NK^4sMC_Kcy9AISSlQ-Z?vAIbl(t{_3i}!;#J3UP>W0oF5b(Qk{F-Oj*P{ zQ>i~?YgB1%a=DUDxH0_ZvtVJjk6AzJByE!!hgo{u6cgtIQ(~z7Rl?QoGwjisO zrO#KD50W^m@4a7Ll1!vil=GG5t%5PNF#KGLcKJ6%;q z#INkP)?+DqMKfp^`o+7nZTzQs!^H#czkU`qFf$7)g^gG=T5X;FoV9skPY8uC^PGc( zB7S_y#h2p+U9Fp*H;F`>I&!uWNreN4NMtg;CtWO_DtrIv$7HD8Eq78b>6yMGqmp95 zk@6ndT#mz?W%DoH}*tr;}vd))fXne$!9Fhw4l1q~Do3rhd=49h3CI zZdlfWv*UNQufgzC(&7rg(^;aVJG?<6CGolI-X$h2^2o zm^AvjQSQL<{AqJQ0E_vtR_58aW6q=s$?XJ5kCoU6J5DA_&J2E^{1F?ID97{ccIwC} zn)D08FNYOcY!%cd*~#&4OR9^{_^Ic~<+aBHa)mkfiPgqR-OovlO|V}4kf0Pn%16jP=-+!# z*F`Wt)l8kj)GTx(adYOdH|244<*i9t!WR$uwe_Vw@H+qeLZsezj%MHReo7aK<*enl z^s)7}hF8|gU8NqEn5i_z>IdDm(8a^nzw8w@*OW^;wafs6}EV3H!|# z+^p+*%jFNmZaiDr_VkO`$T&wyV-xvR@sRIYv=HZJvPkO7-kxINrZ=3+AD@>#*td~4 zJ!7PWCu8hPU=`xUoO8VEL;t6r!&(}6M`!T;mFQB_C6ois(&zUHf7YhlUghl+qU~4u zQO5t_hSy4ZzD8yb>4n~-V>K-uc_UZDMeKOVe3^q)=jNVemxXZMty#YEY-*TjzLMvU z>Bcj%kG~@WCDoZ54rp5*Gt|+!`jen~>c;Pb=0bR$WoAxS9x>cXkjgo`FOUA+%H;i! zE}y_@E~VCvhmWVW3hxwEJB&ydwrpSh)o7y0?~YpAaa4(2UK@1Khi>$X@f z^*?ZHCT6ARNAFo>Rd)A$8gnOs(|4~$YIms73uiGz8a}e6b+=8P8~opn@X5s9T zJ(a|}ib-P`$D&;JufNug_=UV|zn#BWbkY9l%0~37@}#~8k2*+vV}u=^M5jvRXDD>+ z8F;RCA@S6fb8RB)EWf6m?h$&`&SH;lL5Y0P)D^R5Y}u1loYL9d?O)OooSoB*eGj`O z@=rXFr!I|5_1y3e7G722chN{v;TmEg7Wnh&oNoHoJHocxUl?h4Lklda_orF1mNaSp z% zPsp&?uuWF$%;FoHk3y*&GlhkZ_-n&K`;;@kSI`Zb~$DDU3?j;83 zguk9XO2?qnC{|B7yGHv*x@q4@8S?dg=Pw6E;7PhJ5r$uIRsYB*2wY`L*B+vsh|pYKooA2`+pb1{t+-i@`+Yx%}}_H5aw z9)~AC_bUsxlWsd3ZckjBHH%V=$r*X}`lGV-a1HV2;BIfr%s-{KWxl7eOlYJ!zWCD_ zKKYv2|HAX(d9BIm-nSgpw}!SYHOdr+lrv+}hpbIryQy(k8XhGjjueeKk$_kF-6M7X zR7A8q^|ra(XVLp zf|11_Rk0>(9GODCcB8~?;)nA`9%Z?Qp8lY{9`cyLEt-n!{=2Lr1l$4VH9bv~H_qdC zG@lEI_|bn_<)vTL9~0v@3(U_{5(0EXJ}RxWglY2R*XKoyZyuwoqqSNcspYRaq+;A+ z?-rGM$x>4Hyz0)5VL=N1ySt?6Nmp7oIW5%%LOqGfY-_*c9nYO zbj&LCS0XE`@rGN+c|+v!rdj4?Hz$|F<8tLm z5i-0#F{&OvWDjr&3<#wgiRaJJ7)jbUFtuEh8%=pVakcd-b97nic$n;CbNW_=j*Pya zTx60-Ouv|JKKWUbokqiBU;U4i&-?4uJU%B1>>;qQ?S0QcKUL}$ z6HZBYxocK7?sIEwz-zJn?P_zi`j=WWe`t?wB{O~=H&bvq{4qa6-#BVhqkQ@DVs>ta zipR%uh3^R}gH%e&#V6&vA}&r1&X`%>R61Hy+b$f94&|0JoeMDlC(F zzdt|qZZ0?@MsOxb_o_70(h2=%wa12i=P2IFTwkyIkg9f0kMwqkT9cSFehUUj4M`EFwkH8;?Zf&XpY8 zk>z=`WcOi$&@;`))}fia!}HGKN!}h%LO18Q951+(t0Yg`PyZGU1g`acb>Nnyx#Y8Thdqifp5ZwQEGue;3Ec(Kp zJ;!)8kI$!=#2aKi795o$VA0VMcQQZI>fhs#NPhegA6^+3Yw!H8z0R!y>_7C3D&;gZ z0_Yuf3Vv2y;&|OJH53&o%+ojeQ6K>?;+(#v?Fpxe6M8)|sqvze)y%Kdr605g4(zb` zMEJY5mm0Vkkq-0wRQb=}zcfPk%Sxrh)OX7Kg^F2!Bf(00bg}xOxUp}xWmHeqZ#gt- zNQYZpXR^}Ux%2AN@vlQ;g1QmUEzf=2cOs_lvu>?ln{<)2Q0e*5^T%zkv{~2*IEVVM zC$WxZ{<;6?i4_TN>lj&HW=PdrUpBwW)85>7&(y!${?I;gSWHi@Kk^d3^!*g!o7cBU zLPbXLPR}U0UHZ%%t0a+rNV6q|GKywa)8#f^Se%32LhSkp>g@ejFCSRFS5L%{@IrVt z@q{}`%E3QP)U5utFDE0zR#{a0m1OW8>?K3#F7t;iJYi@bU0D25jTgHmC?{torMwW= z^0VeJ$1QIo+f!kC?)2&GK_|Q#DrsY=* zOI&&6lb&SiWAbM4oW;^wrYnVsP<+7%iDBz{*NTDFqfsL6y(EHGYO=4GFOL`9yO7+wIyNxWiU+$E63yc*VUz5FT;X6Ki+h7_tNWE zOCa7?JHqovT(ngpDB;}o>)E-jQcu}xBoz6l!j<~uh94*Ux^*TTpi^i+88Z`k;_A}J zQO2(K3}>%Noy;k>>t0xr5aJk*@H*s2+dM9FrGjNCEot0BSl|Sk{LR2R-qdDU4?GKo z{Sv$_UB9oKvaQwsCMnn#uXpX)AU%t>qWkTM)(hN;>-B5mdhP{I9($_sd4;cyjpX{! zm@li6C*(5D#@c)*-u__Uerbt$j6k$;B@!>?;S^z{2NmT(g5*Ql!{@Glplq9n)mvzY zTE@Xg?bZLepm05T zaG)|bgDTAUwcT{i$9sQ7qrWXs%Bkm@oO6HCp+A+rk|6QHFCwpQgi0`Eh)z|2i=A?@e&3OIWimMElGS04K7r6vpFHQC-}~yXHszG3+|=0dkJ_U+hj-2 zFDPjK%4XBxt>92z$yKr`FRPG#@!Gw~d@(=z(f9EvU-B#pykPky3ESV+F*KHhZC(tV zn+x+Pp`VLG%C1ij4A%PeUswJ0$A+O(XkYBXBcr4Jim`9?eA^!cUuNvf!@FxGIoNTF z`|g`}^ND%g^~Rsn1o0T-<|>pejq1LT^nKlCDhho&(U2lTCNXWuDb?@NJHviuuYDMy zXHg6FD-D(=?rq_&oBT4adxht{=APFuv|Y9xSsX58=Dp5CU3g3|>Hw|xOVat76q^j8 z#pAC<2_zB^xU5$@T?f99l+&7mmY;Du@`W&JrTd!E?d8cfqk{A`)|Xp@{#ICb?SK7qMKyUY8BFT%+BwhgQ=?(?<# zU@ns}HCFM2m_37Hg*S6zc0-?-=f`YM*o|UZ{EuHLnF}j2$O6Vp8_&$oxh<>&G#k^F zJeyN4ZpQmX=h*ONk(svgl}{Nv^?eVsCnM65XGr67AF%kp)0KJuh3$RHen0tBT_Yb& z?A0l>n9J8@N8}_@(*#TTiv3&Z#0;Yjiw|~*T@`T%F%`^>e7|(^sbq)7#@-Z(#?e2C zmjn;-uA3ZuImRh0zoHtqu2$sxiN+w_LnVUhNS^z5L*qA}=09kr_qs21-(R&W8CT}H zfOm~RT2X+zFR$ZUhRdbs0Gi`wLq(e!PNJUn46nRg@p)TJu9z|;;%PjH2{l@LT5+rT zixBM!p2B2R^(7tY{OIn;z1H@>?{y^||CYU4&CAJ6*Zg=*>E@SqYLgRDv~3~j$us7$+c+;k64+!{QG_sHKkpy1|&TX(l#ly7}c7TM+J(l(<6PpdC!)Z z7(}-p<+I%gHoP~bo{+abBcl~JKV*OFIpL9*BmHen*Dub-NpTqH=vrTlqe>7RxTPm^ zR9C zmcH=(&I8%WfuD=TWp0;cET-1a4*n3;l*Vg}FjZP^2&AgFv7D-*bE+FN*vouGiZSR< z_-6S~6Y*Y7^-}L`nNL*%FT%opj$9}d_oogStZpNCBNcdaxiJ1|>c>5ol|%xyp2c_+ zYZ|}oQhOK_zY?s_`%JE{*Jh;OZIO#lT!n@wI{#PJAn79ey20n+--ACWbmoH>nr{i| z7tRamG)U`^J3I_jCR3csW_=?^AT~9whc|L3Igz;VK=xuw^GUPZ;hC{Bz2SB3c1*)r zFMXzb5^^`+$eaD3xNumJBleoOaj3Mn?G}M9kH%X?VZV1~4!2G<%GiCY9i<&1s+N%1 zzb8SsYHv;)^Ns2cRjlmCH$)f@SXDms(8OCCB4{{GZTsZ#>)TEtZnv{JFPzKsnqJl$ z^L`y>a^TL3oeYB>p>B%GCc)_|?>^5werz?{_L}BYyuZ~u5^HMDkdL=&jf}OqRH8Gx z_Em}6e_bNv>rW%DrEv8=uM^3vL8j`o&ft@Gd-bW+sM`L=cD(7CmnS8EuM`P?vHWpz zCX;>kXIce|3C+3eB>F!Of637#HqmKvr3nvq2G(*(Zw3Y(w(lXZsaE|Ec*<)z>6TQuMWiMzb_UMsNz(gF*r_AVnC-q zUZ^Q|`$bFny+08TMyv9w$MctuuWf0a{Sfd&hI_tjGS-(a>#2Y2q3i3R!qp`lV)}vL?>k>_W#Dm!VI7|kzgXst=3oTZv7x=f`>Gzi;wf~GIXo~z+;B=%+~{E8$r{V( zk@Q=6VM2A`DZF!18}}S@q-ag8rY64kg)7B`Y%iVP)cVf7ufFm_L50b-?*|6Oo{UuS zlSfYB6TDUVIi6?ZSXb+x%C(2F!o-uTKgfnD`j(f_YwasSd5t2k2B@0Na+#LRhdLvf zNy#QViKa@=oUK%377E6vB3GYs`I%XGxg_;ruwGU17dHMWEydL8B5pmEoQ$iJ#cpIp zKX_8ftlQse$s5;bzLh?Q|2vf`mQt@^&)t*f_CJ22DHqgpq3{`n@^KIRq{144r}1Bk zWS6T$_q|n~wNXER@9A`O$_bG#{0Fqfx=nPl&bPm~X+d0DOrYW6TJhW_3Oyxz(+n{Mc*Lpkpy}C()`fRCk-x-XbaK zQ^V92qnUnpQt|$f9iM0UpD2ajbVjS%mt4o&7fyX!ZC2{Vx!3EB_|xCRXk_f3UHrYC zE$SR>c#Gg%=}_nX2B|X=uIe>3mgj~|Q|j-NX)~`xk#N_)I7N7~e~P#*@8N_d#gd6Z zNc1xk%360dn-;PQXU{BKj}1+pUtz5O$eGh0{mcHUQ{_O;H(Ao$2_e#fMTO#;^HLwS z`A>6SbLHXwEIwBgH_*RjrE<2saG`11{MX#4{98Y$4pRMI+`Dxz_+1^#m#}x*p=ruY z{u$3(@{bT5wT{2>^v-?BT5Zqn;&%@#7q9fX%q_3V4{APte~qE!&Rh~=;}*m`y!%6X z;!^EAT>Nh)I8In|=y0!*Nz%0oDSk4HFe3~-8bokGdq~EnOy#b@HuIVohjW@*fCl%q zSohH{nHo)uf#IVpq=aI@x$JjimD1!*-pOr$Cc1Fs#elTyy3+QzJQF#0^zj>gw=UShe{KF$x8l_L44d`Z$ zZ!kEw|Fe+AD}$mtiR;y5P zVc|>iAx0TrExl69bo=Y9Lq!`C7fq`@q-{v{>PH(Tnm*=`kZ`#Dy1s}}nj*0Kn}SSt zfBZBa`=I{jy2;zv>w|sX=LrlI_v6)BcT;Rga2+_L!!SHR7GZ8KI}%}4Pg+2#LVei# zLY|VQGLOArur?b_ZmKxT#^JNQ$w6JW_lO3Y`5k!m{Gx{F_x#KBeEc7K-!$btneuWo zKD6DjwmAMN%(A=Ynngyz;mxJV+WyEZ-oK0PmOs-~ydgO>Y-Z?p^4r5E{D73=H9{JW zchZ_SHw~{Uu&ww}r8M(er`+jKP_;9RYGCKrjEFeWNbYuT)yMr-MS6T#IWxi8u~^Ug z0ny~tw#R!?HQn@y1N0Mfj=RZ+3;GwwL9)sT?w_07_@CAaLcW4Diy^Rc>Zlkblb6BBPRC~6eCy66;jsdMlRFjH-Yu@JXB2r3`^ zrA)YQiJs%ObHou%l1i=N7m?}m?0)ZA-w@$T8&N*NtN(DB;YWgxeumsgu2QJvo$nsc zhXWV7DDDI|2CCc@{$f>LGJ4yPb+b&O%kJv$vW?^{De?V3w1vIzWh9OAD_HmCeQ%F* zwtIR~(ewH{jb{`G^myj2s4ghZd>^+fvCGWZXK*J+EbQqC-vaySit@yF!#nm7!H)u$ zHq!V;og^w%5vG`GS zW+^dBl1L3byU<4LaDmcwfvZYw^p+OQgNB*;#KSZP(_S1DI~tm{Q)NQ3Q|I!F-#PUf zCvn9Im1__B_fJ4&uJ%7>>yPL&M_XX?TKaKau&dJWn z&B@K(ZF%{5dHMNy>Kf`Ani`s#yX~CTxpP`t=MEh{e3RBvZxRs`6O#~= zkfKHcjf|9(jEpobJq>*v`yBkQjLeLi=;No)oIZW#jJ&-384U7gU18?3847`2&cHr#*jPKqKz8f5@tg5Q2uCA`B#-Zk3P3^tfn)rnH zgv10S9?%jKlaiB?ZzLxtfH!dK~)tkiiWxx%oYIwAt50&LLwp(v3^jzZvWl|uit=)ref#$9-?yI@H2^I=Egd}_?Hphh+6=-h?ra*{ zb7<{PpO%%Am6er~LxYU8GC&C(if7SYlvhwVBY)9PbT557qd|X^yR8(~2HMF{_YN{%55AvsFrKP3CB_za7A=yL{ zdHCQ#4h}XJW=2LPIy&@KCAUg$-M)RRq`0W4AU`KNI|nV(&5W6u=^5-Hr=}(+#>d9S z(OQg*OiWBn!W$ExCdS7{M@Pr775aoOC*j?R$%#+n5EBy@mync{l9H0f=2&j` zf78=5peJBvKETS#%Erc4giu^uf*$409kifj6%`egRh5{sQCA0@rKPQ-i)2gx{Dlkk z2oLKYHXvDSLIT)|ZNYXVRUlK?2IA)z5D*j+I)424Fv9y`v?=WbRFp9>#MTO@ z7Yh-J&{0$bt+=S9xVX5em;iu}1QT^2qePgP$^v9$prKw4wjTl}4w&p>dK427Vv_Fe zmjKkic!7rQo*sB79qCjA)TgHIYFDIOi4Z^oAe9NfMFd|*M1+0=Z6oNVaL)+8EA8xr z!P&|AqLVXDIl8zwqj}^89R&kUPl3LQjfstk!CG{5bkr`c-@~D{1~hPGWhD~9^72w+ zW2D89HZwqaP+wO^SNq(#bDHYx05(=uObF;`Y4=f6Q&aAxrA2bOkA{Ydih`UB-7Ddq zJ$Qe9hlB(N2L}cQ`uknQ$ridXr;C@o5RjO;xw>3*M0(NI%F@!@Oa<0LNfBvnc{y41 zd{W|K;-^j_p}c$<38ps^KJ*`4-OvL%J0--&$0wjJE;cqMIx;dc>N;TU%NI~gNJk+p zwYeK9dHHxTy~fYakJOqK0#dM6R@T;-g15J~M=CxL5D*v?gdRL36#X1RXy`eBCTiN+ zNC0&7z|iRGP9aP~2igo%Y;*H-a~|&Q9-xFg(B{5$$;%rDxIe5}!_T4LL%(QidyN0s zF=zrvP!NQKFlkwspGRtKVPSC*9gB;g=MXS+j5^rFU}eBK;}Za90P?^Cn+2U=gyAq| z>i%}GUiIKMF2+MpmzM{;Bs)9nCg7r@<3-dQ92{T<(7jo~jWRGG&A>p9bPG}w`)Sa| zproRtq(VJvV6>1O2D=RV8Yw1FP)JjCbab?X7CFr5rq83O?*X9P@J?xL&=k(g3I=FJR5 zyO1)!3Hm%09Vw|PDT^SONIDU~u+Pm+PtQzGW2!$j75hZWjiehXNr>zMkwAJ5DLJI( zke-W)jgF21r5y=6I}*dSYu6(|^3kUmTR5my7o zMutF2`U1mqXwT5=`7;c&{{iD%xDH6d|6m9(JOp+VGo3&KfCwNafC$a5H7zXu`xe@y zC14mrfCj)(|{bpR%a2q6H?XGK+21&Ao}7tn!;Ch`~F4G+D;cn12mlG_N_ zt_S|~rvD8>e}6xcX*hokbiEH#UoT%gho^)7DLh&iQtQ0CdJj||7dT8@hyLu~;qC1F z+1bImKYzCW{Mq@ljSQ;`m>#Tm!I@cSr%RU*^8nlA?Sozz5%KlD1hf~aWi%WEQvnCM zj6wz%TSn+H#Ky(N78RGE=P1VY@HE);Af|_a`Z4InfzBZ=hhw||=&^Iuf!#+Y@!t(% zr_Lt3FhwtLLrgJeB2u0606D08vp95mEFKIe8Kt2*Lowey|nz$AK_mVq#)ORF;Ve zI%XUY$${?Q@DF?lN1(%iogohpcF5g|8dcpzJ70~Nav^U0Jmq0g;ox!F-g1r~Bue%-c50Ru}W*u$uLx&F^Is`5V z>JJ_Y!--x9$RS8$C?=3!zpig=pl%%vpy|JEz-4eS#%Y2vpaCbk;3pt=5f1Pf-+#nB z6h!BdYuSn$+S*!?2|$M3$QW~ojg7JWXo|UmW@hO)-*neQg*AgGE(U-|zzAXvN}~iw zwv04zV4%T>2qTg&ErYW?n?HVFwg@vq=s@-pRwE)16L;b*8*kJ>h4}Js#3^?cf z$p6R-w$b3o&Nf3%I_936;YM@t*UfR$4HN#q0Bbz~7W)%;W7vp*E$i;`Vt}v3mj<0 z!v7)yaBUYDWkw7Yh&sT*9#K|DFxN=Im6w%cN)D;H%Bt#W2zw!RN*W=v7R| z{@xvtk-^(Z#eVZtXRlrXHGkFH*ZT@|V>iaq zyTPaIhOwtRARsU>2)SQDs1FVb3Jk`s!C93(4PPb)n@r|3=D0#I3Ion3hTs%JZEX!4 zHGfeJts0aD&TRh!QU(wXpxsZ45q>zus6QRDu)H`s3q9sTp?ARa2mMthpnXEXQ>;UH zfa@OMx(5#))S2P7lNn~fz?hksAU%S(C^%?q$kW5zy)~e6tB7J078Dc~U>!P&kh_wf zkA5Qvn}t9)L49CAKtK>DC&w-jhetgpI~zL(=l%Z=9>DPcA{F%y0T8r!h&z1<_6TQ_ zz@f+Srx!2&Q`G+{>pORV@cjoI0i2&t-9=g|#sG1FfOK$=Fb@|g97~g0w9WvJauXs zbV5yqUeuJ7l+-|>u=am|8Nyv_h?zs|gdTHb|Eh5qkrHPD;Ror59xcr-W5UIaA%08> z5qjuQ--!XXBQAFN{}1dVPjJDnix-{Xg-#qVA~<645J5o!?1e@Mkq8J(OioTtO-{mq zjSwuIoOE%)h0J!d3edZ{xvKsJ78Jx~P1MzRcp*rFrBk>d)q)OmSy@?DT2yqWvI_OZ zr4@IotILau?+P5_KYW0V`?wGf3mYpJ?;#;L;T0E`K5jA2Tpwlgj{8iy22|psZCm0BeU_ zN;NK}a_|t~@S%eT;p{N*KLk187t*qbZD3{q@r~0m(z3{##p7cvXgW#v^hHC4zhsHg(VfDC5^<}d6z4Cta9yZp}{ zgGs&yW*MD!AwVqp$!?FsKTCt#?vRu(ok^bRY|O~br3tjDn++?2}U1^||$z^L3VZL{7zv$lq)It13C zp?(*CV+ITPBA}&#Vc>K&rnQmA1|I>84_KkQ$fbt3#@)LQ8z54I zb&qz*F`~r~0l+{`j-{0#v$S_Fq#?4w$;yH7Q7-hkdAS_`h}3oL3h5KbEgIeNm- z<6J&C(LfqjOB+FH^R zqNk?cOi!z-tf;K6sHm#MZON+2s(TM=szpW64+)EiqTj$$BqE}c(vlM5;$mWAkmnH> zmz0ncmlT(fmX(pli0dwW{ToS{odpTSq!cHryA9_*?D`Q{IuSV)Mwq{ld;{k?q~KUX zN-D4yL|b5=b3hOhCkc?Q!15Qx5ODb$Cc*q!i~(S0&>vtvfC~X4jST@n)H8zOW~eSR```4x z?t6{JyWR}EMwf5;Aw?%G4N3$JNM|9Pf^}T?KO4^fCqYQ;Jz`f;t7cPs6>U+YX6;!W zq}1Lsv|_Y<+oM(~DhRDrVun(rXizE|Mb(H+5#N0OfY1GKzudj<^}2h!p7*%dI-|-U zRK;Z)9b8{g?!~!<_)12hxR~3MM}F>U=Wq_|AeqMyeSnyURUo^V2m6c9oGV_H!>48C zWrh#dj~4edKKU=|O+|jGAcs(H?B#%lzb z+_tc?woAD#M@h}OJ<=H7yK8oP!i4DrBKtJKz(T}pWb3lS52nN9*D{(#=#2OcK6u!c z;OsIpHKh^Y26u72Oz5ShiPnndjZ!#s>D~a9-ns@jJFuygp2W|q>-LR|FPB#U&yxhd zy*9}$fral4q;d4M(X&}KJTx?yXv@jNvOEE!``x0NFh{YyPYrW4;@x&^ZEAoPsIszU z=Cq<7T@A*9YCIJ;b|DzI)Gat*PIvjp!>OkHJ;Mz;Ks%OdfSnoM8iHiJqNkX?)12Qk zQYq~eNZp#xCo9_sk(C2haLMz78z4hhT(z-ckK1G!Y=Zzm?$j?Mz0%>Pi;3T`LhTiT zbI%%wX5)@*Xez&p_2uMfE1+Z*6y&3gw6?v%y&0_T0|3|zeFdo`MMY6j>PmFh(qJ$1 zBS`+!#%~YfG|`onC-1Fma$j-s=p@Ta3}ma8zkR##G73ImC@n2DsVXt}^I{lZSvB~( zNi;WpUx!7HG57EFq`+sE&SB5uxo??^H{2N7D_EzQo>Ue-2bHD2 zA~HB&URIdJ+TZp;>H1=iHpQb?03PC740$hpFe_pENI%1-DC<>r9AoyYSFhu@2UM5)K1TMvoMFPWBLuAf&{X5=e~jygHp$F0`K2nZYqy!63ZhwS^2j9Y{gSic|CE_ zj?Hi?DjB&)Q7#CY|gJ6!RXjgtuYMm@Td12=?g*5Jm!U}Ntd3cdz}EV{>&iA|9Jen1e-jo(q6j}iUS?MUqk15E@epQf@ zmmN#ExV7Iq97a{w?dFqY!2`Sw7>lrp7p<%BOC~HYO&T|i3`7{2uzTd}jSCLPZu;nA zrakp+oF)etU;Z;_8=$${rmEk-ntT08*a_=rU;%*7ZIa7A^9@L8Y>6!<>XLjYP!x4W zCJNBm%bhCQM{{j+5?k6Tr~DBTr5KXCDu60uksA4A)830dO>S6jI%86FRqrlBi+V*a zJG?idts9uVrb^QN-uUEv1N>&Qev+!@VU{&GA}--o!YlSPpnNQ_`?5zJw!-7~n{U97 z#tla=s)k@uu)lMZxcSg>ZWb3P1dAJ=b#Qwv@?P%;iT+s<(ks) z-$gk&g}Rzrz(qsZGjnSL!KX${W-HjokNp0+RXM}h{de4aGdEu(ekKmOq#k%;5-#(Q zG5d7+@s}Jw+gE@X=rk0a`Ce`UAYwN;c znW9`0=a4_65b%CPtNT01S7uQ~3c_GKRATjaXstwXim?(@ULtC0^4x(K`%Ri>a#Hkh z9dY>Rwtdo)&q>!ybGyoyBrmAhi)P7apLhS1YeoBu34n*@UN z#2-pGW?>uz;+nr3n0Ha@2iG8Yy~AKD>RGJ`6J@U(E!?5my279*F&!dq+SSz-$FUip){^fQ$7B9rg-AlV0dgDq%JFECr$NffQ|P>^ zl9DbOj-Zh#$QE#x@#m~&I1`h>YAk7Sk~FCyyQM=ja!=ZiZ_Mt^8}_9^X-k~7g?K?B zum@1f@(8DtwM$hSCI@Y$4iu!XnUsj z?-`T2+}s>HTQReQ-_R^u>2@GHN4VUzt3GxKzdSuEP*{;y2DfhOCD+TUA5G!nH>y4L zFHz-`=uXEwy6Bz6e~8R1WXyDWRBubmv`Wj0!(4kf?X5vKkiUVRNFQwAlN z%f*Z3wynB6HRGa>Vlwrh1!+ivWCUam^2~gEH82Cu39oXGB`jofHF1ueo#9~-ZR$5E zg(fG*0mCg%{4dTAgU%*)N(*&9vKDVeEqqTKegd&VZr$rp|MA072qBun0j2o?)&JwJ z8_=)c2e*(u=anp6Yja}C4dh4>CK)q20oy{uYUi0j? zR=n=o@TBkcoGK9(P2rbG#4izz3zh*2IRxW*PF|y#C9hc8A(iV5 zDcLuS+CtUUO|nIz0J1Ci$K^nyZA67_->8Wa!MgZ;fAG+HUZr?Ps{#85!|sv1~7ds>C{3ijMv4B(Zs8!F=WY)#(QG3l0T zW1Oj8jJsa1^S~8dkejMJJmOP*c^7me2|l0-*}Js3%)GCj)1BUyp-HZhx;`{~e+WAm z+!CtWy~i%3Nh8(a!X>VFzG1l31h(ttj4St7NyCbZS~@Xp)LQL`;2d#uMQYt zS=oLOi5GJQsU_S2pi=tUgGr4@wk;7+vBj50>>h#XWun0eby6P;3s^@2g3W@NX16zd z(lgaQs@zZ$wMp5ALV|qVV=c4NR$(0fWTlkHz8obh3ADU0i4GUPx&m>hS{k+IV}2FL z!y_pPuU&9=aBd9jDS~>1G=+J)h&nbGEu6LO*{WblxfeR^LU**SDzfMqNyjXVx{~o( zf=o%FaWuM|TpDGogLrGv^6DYZwALsb+Ll7hib#C;96IrMcd_X-9}Q2cM+cGah;PdXbdq^*K1R# z_tTHXLZ)VEB$%@x*aYq@IVpMR?r2aQ?Z8HEZ%jEyOKF)%?aoY{|MQmxX!)0(MF@{fu9*Ipiab>tw#*eB{R`Mn~d1TGogE;`{W^6%%otEoQiHy83+dqDpy4xrZT+1)_r~cjr8A&7vl~ z-hM~ae5kDjU+EKdudQXK(X(+jv!McKB1DAU6J=t)-Q%we<{cY6hnh>vE4L zcuiC@l-yNT7T-90+uhRAGW)eyYHK;$A;pwt5q5u>SfdWB$>g^{d{hoYrS|BtjMp<9 zt%<*zSD$wzc#5e}^W8UdVz&WrEN4%PlrXcMSpQp z>uK8M{ptzb9+CZ|s$;Ti zeT&Iwf7btW1ciR8E7;#gcEp8*?)=OrhuZo5yW>F)T2aELYg{<{jr{QszO3-Gy!qAU zSm*SF+*11){bTFh;mV@(=hd**8}Blk{Y_XVgtSjK_tCLMX2%HhgmBF1Z=OR9%}Db3 zpVw?!=87xmHB|S%FDRGTtyVw3i+=~kU#)sdj7C+wk))j$au;?ydOv5cy^OLHpIB%t zYVChD(QXNPZ13gFD5%0?ow$`tw9^^d0h65w6RhN}<(*aD*iO`LL z$y+&MqmB}Row%5V#+SHr2Dg#edYhg=;9~%|kK~Mj~|D0Ee@G8W) zE}r{a+e~(}AKqWh0hUQ(YZa^O)KVMDQyRXE7VF5RZx|@+w+&UW2O-TVltdXGuE>yz z=Bcs5`(A(I93JeoKSosT26+Y<1zBj%oo#DO$noZmeA>JcQ&n!?%1E9FR(_M zd)1|T+_0nb^5b=^lOMim4jz&e}zKTlnNnRib32fIIo|4uX$l6*VnA0sGxi`d%kY8!<&3f>I; zuYEga_Tb`Oz>VCYy0_0A zn>WDb0sn!6HmR{fydMgYC=D1n9u=Kl?@Me0m++AgX5H3qb1Y4(XWCH9{yJ9Jd;&@$ zY;_QAmf=b`0r?iz9^h~~4`Y{9Had{PwCZ*8J_naKTn_u2q=r_jeU^e6m2Q~7z#EfZ zu(qV}Z3Ws6qQ}wFE^{iOW@*C7xPNo7p=7%P-mj)eJAL>9IP*@?u{o6AW_#$bx9p@8jicy%nF@Tz`wYT(Xqd(Eb!h@mgR@LC zVchXS25+ZEqVROc(vM5hEx(SzSdJ4o2b1j4(L0>v_b}}gl+npC0>4S(2e<^hS?W;^ zd7>tSuVKdcZ&$Hr+Q8@%@mEP;NDS!h;!Kwdo#4w=Q_gd~zI{baR}5NbJW~|5aweGb z^M|VM9Se<9bySFA02L<+LI|cl5AV-^6y`+yR0xgk=W`re+-ugR@?LHguFaXb89>#e z-gS)@E10(yd>5IPR9hQ1ik;R}>R zn+_f2(C|`G!pXj|VG=ZJ;)EvvXku?Eq-(Xev#_@HqrjP}z|!b0-b^@PFCB<~y}S#; z_bhjcP@okK3~Qw_wt#c};my>6eT&CGB>B?2GPw18xcLBRTnrC|6b&X-@U+bX?ckVY zl+fQx&tB~+7$`Hu>wo`kyI1_npnR=>8e2(V)!;DA_ZlCwYqRG7%ceXb7A0hHjHbSj<=)(Nx?(HSd{9`TIF z_1oM!F{ch~>T50VT$rKO5kKE}ZJas8cP41uZ!{q4s~Et6oqMKy64?cI30N@w*~)Pv zzh|+Iu(?0_+ez1Ot#0*NTOoz>J}d6Dwp})+*z+6>SCjP@-Z9iEF5NwT0iFJ0H3#|#yY>}>oaIXG1BGhaKgwCnAeqD;*l zMKSAabnLg%=zwETctosq7>)7s?NW^)ok;b}77F#fwNwSM?Zu#255unGl2D()%P)NJ z6HAJ`W7pgMg{tcizpjJ^7oL1}2_;`pSb?@7?b==U{`}sn!@fLK?xM(BN6_vIQ#_6> s8K2lna4Uv84;UB_)QGyZP*^VAUle>o^7 literal 0 HcmV?d00001 diff --git a/tests/ref_data/utils/l_factor_conv_mmgeoid.npy b/tests/ref_data/utils/l_factor_conv_mmgeoid.npy new file mode 100644 index 0000000000000000000000000000000000000000..64527e5a8265b6937f8baf71c63a7be65ff25ab0 GIT binary patch literal 144 zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlV+i=qoAIaUsO_*m=~X4l#&V(cT3DEP6dh= nXCxM+0{I$7I+{8PwF(pfuC=GLe=a=t-SOSL5bgz6zB>W{WXvUZ literal 0 HcmV?d00001 diff --git a/tests/ref_data/utils/l_factor_conv_mvcu.npy b/tests/ref_data/utils/l_factor_conv_mvcu.npy new file mode 100644 index 0000000000000000000000000000000000000000..088f31c7bbbd363608340d33e6e2f3132f34953c GIT binary patch literal 144 zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlV+i=qoAIaUsO_*m=~X4l#&V(cT3DEP6dh= mXCxM+0{I$7I+{8PwF(pfu7$s%de(X*IaSK0bxe4a&gc2K*AW0sRwE1m literal 0 HcmV?d00001 diff --git a/tests/ref_data/utils/plm_4pi.npy b/tests/ref_data/utils/plm_4pi.npy new file mode 100644 index 0000000000000000000000000000000000000000..1c259239dcdb86773f296cc5de12430e84c11fc5 GIT binary patch literal 3008 zcmeH{drVVj9EMw+1KNR?%~>&GRis60K`Z6f=67Thr>H}nQ|FYSEmDwz?Z6-tNycP4 zz$MNLo9J*%MPM?~8gBcF0t0k9M2HOIgdrEXwL%M0C}Ta}*Z(yp#AHp=Cw=oiZ%)p4 z+GFcBtqt7DWW+Gycrv+qmx|}Z9zkq$NvsoTC=5nzs7_zeEBuqDF)=WNvAHY z?m@Ff->$e2+l=_{Yd>9fu96UD(K!g{9{fmqfOjCvvR5RjRc$x$!}X9WpJexxH2_k< zTTvz4A<*h}PEI*uvXbP#;NE@gk)83sL$CK0T8n*{RD8DFbH{#n@2<_8271W+ z`TULvnT>=fo6b=H-9rk4#RI%U$)>riUfItHRoVyhp-i?=YZ1RgJagF_gp7Jw~p<6Dp8I<(F`lLt99`-P_vR!-9 z_b@2J4LH}~-hJ$mofp63<6+oRPT5YvdGB-~y>PLQeTp7=xn-0j8qa~S?4ir)Grd-3 z;=BjX1UV%3+3h(8>{<_v7A7 z?2(;Hn=ijfp1D<1<+G@>bypwqU&wgV*_NTj=ZKCJiraauPY59ppD*rFw`mXXjyR)6 zn4XN7BJJ)a?KZCU5LsJpA2y(~dJbtJiyZ=)6d`$z)VNoHJ+kwvPk&kD$T8K|EG^Hh z5<1Q|!oCH3H_uz8aHs#`&NX>@6q+5NXl`gBBsuufJ;bLygma*N!!>}mySwV~`U$S|kDXZRN5E065i(BRQs)~2x-X-jjoeSm@H_s|(=PMK( z?$qO5C?Mali1pqm`l&33sbP+yRByeK^Hm2SoTGDCOZPxYdw_RD30wY74NSk`wmK?( s(IL-2pfY;8OU%h`II%Zm+tnfyEN}Zb?G$?gMR*G5f8yRo?2(;+0iZ}p6aWAK literal 0 HcmV?d00001 diff --git a/tests/ref_data/utils/plm_ortho.npy b/tests/ref_data/utils/plm_ortho.npy new file mode 100644 index 0000000000000000000000000000000000000000..8e78586d8de8d707fc404fe0e54b809ddc0b9e68 GIT binary patch literal 3008 zcmeH{jW67H9LH(wl+Ds`W?QS4-;x~ZpY>Zx}}yNW)L6=BRs z*PJ27#WE?b#zt@b3Y9jFI?ltP9`0OM#@4Q_c}VSM{eHjq2dvG~Cc9kn%DwY`z4OcO z`^}XdJQNuGiJ?KJK^7}MK^P}sdD*bIi5@H`8&+bPKqQDw<)sPY6aLBf#wH6BHgh3A zHa%hUw>{g*X7jtp)xpUo+vZ<=Oj9a+gU8H<;Azp||Iah^2E?L>lYag)2z-VXgF{tF zYaGan;SD15+7ii_>KaNPXS(&u8z^BL&Ow8F;DbFNJA~C-u5*1+b-fa{q9Px*!30G1 ztcRv$O+i%K#GKS(Mo*fXke)a3@Lo0dnR;2z;lorU6}|qcixwQli#Z~J0ydTl)($Lv zjr!iXa&ly$7cE$Ic5I|6^&BAi`+wq|9r5T+Im2-qGfOHJfft<-2(XD8&@%_2^a zMtpv41ikojuqIV=l@dI04ochu;sM#=V#a!=u1HEds^xIj<2ZCXs`U3m(qUXN?576G zXmWpYNbflD=+1L^L{Id{m-)tzc4+RPBMgZaMP?)6gJScrFeOCzmPgHIC?O~OuI894 zqD0|1N13>XI4?Z*fb76Rcnrh)y`Q=L1D;7;-)LZ8aB^{caxVnr%lHMkH&FT&Yx6UE zC-wY@MA>*QPL!r-W`tXqx#3OSMD$Dc&2y?H5|z-yH7 z2vyGA&@C|$Weqz2x&qa3z>M0=k zPo(!N@#s$FS6c#x`8~2_@37|1v2nyaebYiCRzR_EX(i^)6lA5A91Z?LPKmz6IoghU z=q~nv>~KpSPQ4M(dfwB1zRdLS$8)fw)vM#?eidwa{QvPI+U;f4A`h9=(~{(`kRFS8 zbVpTsxK0$xZHu4R%sHq>P*>@&nqj3ukUd6C+FLZdys@ZAUo{3T(j?0 z46U2dZI&R+upJ@_6YGs^mHPX#wA*FPq+kvx>3xYJJyYV*ou_@|Z%OwIiSGS|KDgjJ zTf44;GmevzEzCOL%jN9aWhD|H90|A2yG{v5aSkrHhy1aJ$PQGlq&%?L=;OxjuPMpQ zXaZiP<%a>oGbo~FeV3zKCo;U$t~FX31Ii$h)83oJqdQgk&hzC?W$oGLxFHJnIpkK? zwX`Ubf|Tudq$gk+@-7}b+xD)45?#hQio-p03VT3yJkN;@?HhxF*fBeshb{N1;g)L% zt3fvdOq3>+71nZ-7=@;}oA-s%_S+(9Q_Xj>QPSfPkM3}4bYl<21}*nDymQz#3e?#z ztm4$Fk$Zvd54_WAR8wqgHX!e#1UH;R7w*9__JHiTCog>V2h&jEVie7*oX%>72(kZb hI;jGrTf3|556nQK;pp%6(ONxQNFGIcCd8vVe**yhiAn$f literal 0 HcmV?d00001 diff --git a/tests/ref_data/utils/plm_schmidt.npy b/tests/ref_data/utils/plm_schmidt.npy new file mode 100644 index 0000000000000000000000000000000000000000..0d9b0ec57e3abeba47837c65372977cc2223a9ba GIT binary patch literal 3008 zcmeH{i%(Nm9LMV;GQbT*QHd-obF2_r0Z~Fpw;v=tnuSMIUIwT#flwqoipU1YoDhN? zYodt5%Ge+obL;^EAtKcS(*ebyR31VZ2!+}LlhqlFf`dWNIrk4B+oH)%ntt#7=KJ~P z^!$2nNpM(@=+GM0304j#EI(Srb;q1es&Ehc zP>6HD!yN4q;J#!0_w+Sm`MQ1xla>r#I&oD~;2$J(A9PN3v z=d{}08__i9+gqZVeDvn77pK=f9Af6pRXpyQo4f@?k!h^f8f1@i$OUuE^UJe0-zqP= zDVR#yYhz_JfV+IVRaJu;l6j{LZzuPlcKglGZ}@2$O(VV&$>|A4dxnBTu8c0^HT#Dq ztDVYES&X<&2QjAyI9+dJoN% zoDEVY+(+$G125`?XQ1n}!8UPgKcnwXV_#2lDTKrOHG;@=ekx_Yh~+9dGm1vG_^_5L zdLgKM*lV_C9HPQ9^7sKgR8b)Iksjwz7UpP=U}5&C#Jyj}?>ce$$;9wO_&|5DEvE4| z5c0Us`Ay)(vW4Do$Pj&ihTxb_FLh8FLpjnC!$Gnye3?a6x0^@t7?*G_$3 zQLjbK&xB(S_HKzcl!e=bpPs?qNWm;ElYD83HUwlUV8UkxzamS2km zi8gwm`Wfk)CAk>F(Vl;2?nboWyW>D-y#~r}SU$O(`3=zbv(>hl?JW)}L=?#T8A5Ol z&0`MH`QA4@Z+8Sc*UNWK-mQbR_VYRC){di3c+RJaL)uVm>DLd6&JF=pDe-AeyAE@- zM`m6dnwEFIxwkr*>s&aAY$UVc1()mLFX{VbVQyn^@a|Pn_(3&Qw1|Bq#5vT1IUqfJ zjcL9jkIaGI3x!!)$Sq0O&}uslDf_zX&CC>ndeeMI5Y?b2iC^pPpOiTymqj?*Q>otl zWieXQU{>9j6D3fiveF={^%^ZAb403Zmeu<@?oegsuE064#2k3OrJY2f2f4NY(3-h0SANE;}zwzo}z1jrf0(oFCz6&)+)9S7rbJ literal 0 HcmV?d00001 diff --git a/tests/utilities.py b/tests/utilities.py new file mode 100644 index 0000000..2b853fb --- /dev/null +++ b/tests/utilities.py @@ -0,0 +1,29 @@ +import xarray as xr + + +def subsample_xr( + obj: xr.DataArray | xr.Dataset, factor: int +) -> xr.DataArray | xr.Dataset: + """ + Subsample a DataArray or Dataset by taking every `factor`-th element along all dimensions. + + Parameters + ---------- + obj : Union[xr.DataArray, xr.Dataset] + The input xarray object (DataArray or Dataset) to subsample. + factor : int + The subsampling factor. For example, factor=10 will keep 1 value out of every 10 + along each dimension. + + Returns + ------- + Union[xr.DataArray, xr.Dataset] + A new xarray object subsampled along all its dimensions. + + Examples + -------- + >>> subsample_xr(da, 5) # for a DataArray + >>> subsample_xr(ds, 2) # for a Dataset + """ + indexers = {dim: slice(None, None, factor) for dim in obj.dims} + return obj.isel(**indexers) diff --git a/tests/utils/__init__.py b/tests/utils/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/tests/utils/test_harmo.py b/tests/utils/test_harmo.py new file mode 100644 index 0000000..9f13a8f --- /dev/null +++ b/tests/utils/test_harmo.py @@ -0,0 +1,122 @@ +from dataclasses import dataclass + +import numpy as np +import pytest +import xarray as xr + +from lenapy.utils.harmo import compute_plm, l_factor_conv +from tests.utilities import subsample_xr + + +def test_sh_to_grid(lenapy_paths): + """ + Test for converting and subsampling a dataset's grid and comparing it to a reference grid. + + Parameters + ---------- + lenapy_paths : object + An object that provides paths to reference data and datasets. + + Raises + ------ + AssertionError + If the subsampled grid does not match the reference grid exactly. + """ + ref_grid_file = lenapy_paths.ref_data / "utils" / "costg_grid.nc" + grid_ref = xr.open_dataarray(ref_grid_file) + + costg_ds = xr.open_dataset(lenapy_paths.data / "COSTG_n12_2002_2022.nc") + grid = costg_ds.lnharmo.to_grid() + grid = subsample_xr(grid, 10) + xr.testing.assert_equal(grid_ref, grid) + + +@pytest.mark.parametrize( + "lmax, z, normalization, ref_filename", + [ + (5, np.linspace(-1, 1, 10), "4pi", "plm_4pi.npy"), + (5, np.linspace(-1, 1, 10), "ortho", "plm_ortho.npy"), + (5, np.linspace(-1, 1, 10), "schmidt", "plm_schmidt.npy"), + ], +) +def test_plm_normalization(lenapy_paths, lmax, z, normalization, ref_filename): + """Test compute_plm with different normalization methods""" + ref_file = lenapy_paths.ref_data / "utils" / ref_filename + ref_plm = np.load(ref_file) + + plm = compute_plm(lmax, z, normalization=normalization) + assert np.allclose(ref_plm, plm), f"Failed for normalization {normalization}" + + +def test_plm_invalid_normalization(): + """Test compute_plm with an invalid normalization type""" + lmax = 5 + z = np.linspace(-1, 1, 10) + with pytest.raises(AssertionError): + compute_plm(lmax, z, normalization="invalid") + + +@pytest.mark.parametrize( + "l, unit", + [ + (np.array([2, 3, 4]), "mewh"), + (np.array([1, 2]), "mmgeoid"), + (np.array([0, 1, 2]), "microGal"), + (np.array([3, 4]), "norm"), + (np.array([1, 2]), "pascal"), + (np.array([1, 2]), "potential"), + (np.array([1, 2]), "mvcu"), + (np.array([1, 2]), "mecu"), + (np.array([1, 2]), "int_radial_mag"), + (np.array([1, 2]), "ext_radial_mag"), + ], +) +def test_l_factor_conv(lenapy_paths, l, unit): + """ + Test l_factor_conv function for different units and options + """ + ref_file = lenapy_paths.ref_data / "utils" / f"l_factor_conv_{unit}.npy" + ref_l_factor = np.load(ref_file) + + ds_love = None + if unit == "mecu": + + @dataclass + class Love: + hl: int + kl: int + + ds_love = Love(1, 1) + l_factor, cst = l_factor_conv( + l=l, + unit=unit, + include_elastic=True, + ds_love=ds_love, + ellipsoidal_earth=True, + geocentric_colat=[1] * len(l), + ) + + assert np.allclose(ref_l_factor, l_factor), f"Failed for scale factor {unit}" + assert "gm_earth" in cst, "Missing 'gm_earth' in constants" + assert "a_earth" in cst, "Missing 'a_earth' in constants" + + +def test_l_factor_conv_invalid_unit(): + """ + Test l_factor_conv function for invalid unit input + """ + with pytest.raises(ValueError): + l_factor_conv(l=(np.array([1, 2])), unit="invalid_unit") + + +def test_ellipsoidal_earth_missing_colatitude(): + with pytest.raises( + ValueError, + match="For ellipsoidal Earth, you need to set the parameter 'geocentric_colat'", + ): + l_factor_conv( + l=np.array([1, 2]), + unit="mewh", + ellipsoidal_earth=True, + geocentric_colat=None, + ) From 99257e06f0636226e3f1a31fe8bcf16650de69a4 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Mon, 7 Apr 2025 13:49:17 +0200 Subject: [PATCH 20/37] test: remove some file from coverage measurements --- pyproject.toml | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/pyproject.toml b/pyproject.toml index 7fa06a1..b9ae6a7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -51,6 +51,12 @@ target-version = ['py312'] profile = "black" line_length = 88 +[tool.coverage.run] +omit = [ + "lenapy/readers/ocean.py", + "lenapy/plots/*.py" +] + [project.optional-dependencies] formatter = [ "black ==24.8.0", From 3c04650c6eab0f08fa6bf6ca4faa13ca036f3930 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Mon, 7 Apr 2025 16:07:14 +0200 Subject: [PATCH 21/37] test: add test_lenapy_grace --- ...-2_2022001-2022031_GRFO_UTCSR_BA01_0601.gz | Bin 0 -> 50967 bytes ...2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt | 4192 +++++++++++++++++ tests/readers/test_readers.py | 28 + tests/ref_data/gz_grace_l2.nc | Bin 0 -> 134883 bytes tests/ref_data/txt_grace_l2.nc | Bin 0 -> 281310 bytes 5 files changed, 4220 insertions(+) create mode 100644 data/GSM-2_2022001-2022031_GRFO_UTCSR_BA01_0601.gz create mode 100644 data/GSM-2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt create mode 100644 tests/ref_data/gz_grace_l2.nc create mode 100644 tests/ref_data/txt_grace_l2.nc diff --git a/data/GSM-2_2022001-2022031_GRFO_UTCSR_BA01_0601.gz b/data/GSM-2_2022001-2022031_GRFO_UTCSR_BA01_0601.gz new file mode 100644 index 0000000000000000000000000000000000000000..802ab4996610bf8efe1d50988f21a51c1abe8934 GIT binary patch literal 50967 zcmV*iKuy0NiwFpUtZ8BZ14mO$Eizv+FfuYQFflDMFfuYQGcjLBQbtc-Ra8S$QeQ$r zFfm^+HZU;&%v)=7+emi(?q7kbeA%rPseV7Sm8#XqkD07Jc3GZmC8-n(CLswkB%uJL zY~|PI+y=Tq$|7Y5Gf6a4G9N&nzTNkpd+u%MrpOmXefA>D7Uil~H)XYM=pEh{*L6{3 z4}Q+F%&_o%RpZ8oUw7Z*f_1f?G@E?A$m_){-)!pg^LA5oW8c=*Vmsf=%EkV@Z!X_W zM7ZLrs#p2L3vk7Y_C<43)tlKmUlqGwUjF#5`+ixiuOEDk?_cHh<|cbn=Xd4iKD)fV zDe7{bFS8%>dR48ta&pn<87}oBZ304Et(W)}(3Q#Az2_Z}YHq-`=xb&#|MMIxpA7 z;<0<1YPsFu*6d4(waK&3)z^7moA$ z=ZkXNJUwN)DeG>^+MABgt=JTGb98cMDy`$vNX9TZX2QkuY6T{FIN(_u(#xzVudzN^ zUKiM|O$KKyKa+%M{CSzX_sWaYd#$>=jgKKQGhAqaV1G))1B*IRs0)F(9D z{m$t5W>t0k5pKr~IjvHJWm||v6xqP1-APfC>P6i$6kE} zF;KSKfa;ga>dWN)I{Q;x`9H_euUjH`Wb}5;F7KO7fdMIRw42prAKKf(5Wf}oUyvlf ziGv7qlD%#1IibXLaxfpAbk;<&c}>oBLb>u}&+Si=)!h~EKtt{C>=TkpbBmmLl6|T+ z7~~&Vh&sCj73A0Ohfi3J>|gV`%s(T}x^cRDf5_oNk^L2$l#@Ck^WVtM{q?pH| zXzusyp50aR{PT9%MqAvN5Z~Fw4JA7opQiD$tg(|7uKUxQi+3;ooL!P{&x`Eu-B4lN z5*!P!-Xne*_m@wT^ItAM{q*xGe57Nb^&PDV?a1zx7q2ILYEH8AiDL(?wNI7hl6=H)RuS zJIGy~8)TFdvw2+*86wz8{Z(z^FD z-w+=^KBtS5c<0{5&)Luf^xMO&thXTo_szMuIQjbzA5Y$VxIDSMIDc^MF8=qS@8Im= zcbrAL7dR#2x2ZUv|F*8aEQ`f;u`|V;4J$!V*{@ZJ?;=fiS>Tt;?B^J#=S7Ww;ji;1 zY{um+)J}H3fYX$u$buu&7j)yB*Z+6xa!x^I_%HQdMHI$lsfy%Z2eiHb}(akSID`#1Nudvm?6tL^RH75kaxv5a!N{k$w2;gLx08YO0*Pv`Y#{eb`l(Aa8OfF3^SBF^(G7>m=F`j@&6~r&cgpw#vZw)ST8!{ z_7?HjE!*|BDHgLue!ri(|KmT~rUY{1ET+hvuiFvTMA%QL zael^KC_nBx3DlJx$Ro%ZGvto5F5VtgRcXLCA1~g&j+NYF_1ED3L-vVwD-KE2_`s9H zkmP9V>+Yhi^7>|SB(LYF^H=Mg&JOl^QG7jnV#<$n3_78{d}3zEj>UE7>W8N$;1oMk z3r(eG&#Y}pt$vq@$$D>M^X2NP30*8#yOr5r@dgTGuUZSaJg#3`MSa(l7uA+@IZCm4 zxzp!4GQK+epai+VtRA4ddlkWB0RV6My*Mx!fppxM3?`+F~~oN=&orSTAIz1#IzH} z`Qq1Yvk4d!#5vrjMDd!1fzl+pjEy>a6S}7~>$5E1el3?Js;{4ViT;FfpYJzCcL^cP zx_)@Gb4lu1PqI0fJmc9v2P$o6S}abo`#?VTMO#L#!@G6$@IHb2E}wCq#C_Onyl$wK zlU9W4kZ?vbAJbco=6Y<>|KRakVq8%9e_eJXroJ^Hd+<2>`SMt?_ z$;Z*S=l0cvi|<9d-$#?tHm@xg&M?Q70h&30CZ!yKrXre_-g9n^cT68cQ*H#Bj%dbd z?F7@_ak9-GK;xrqGjZRzX3R+@txn3aS4LWSTDVB@t@T6e9muRc4@J{(-(e2rY2oOn^7@@uK z-WcP=VcR@cBcfX*UBa2Q%7DC-K9&QN7~v&C_R%e{hSI}R{1G&Wml0@*OPu6fA$x&L z$PW%EJg83f{M;=Pmq^%VNpZPjKFOIHp%jEk`OR5_z&2d-Bk_ja^&`*{mq;U>CK}Ws z0uG^ZF~&9*_sv`96jR1ouaBXb5n5R!F44kZPdp>}dIU`b=6WWYWPNliM6Pq5yCXS( zhwS%kw4O^WaDWMS@iDRv+^crNs!e zo=d!R5>i+Rbu7BI7=xC$#9HmC8irCh7Twy9SxM8cq=t()qUB>NY3vv@o8rxKXc8eH zgpS3VH6!Xb>3W|O%t~o}$j%4RoF0RgY8({ZOv6XCB*l0T&Fc}-tyr|p2rw=RZ?Daf zl|-p*Mxdn{M+%f~#3tt0z6owdWE|CV3HMGyl}Kies30NS7~4{f0|5jTT1)tHskJNqUbbaJbL4%*h%-Ookqxdf5}EGU)K$IwQ_o9g=| z61tpA5FvAiSCWc_5ooE#k(x8)0hAr)NPa^pImS!+ehJgscogx1*6N^bqq3<^T%u5# zaR=R@j^zN^cAlP#mbgSIjnYj>8&uUnw9rp{Hd^YJa7qEtuF4;aZpGvn+Y*;p2bSc{ zXy%W2i9%UE0xfZg5E59{@W4$6(X<*7-8$(KP!_~%=q#JVKB=4-5dpgImq4{bnV_aR zrtmZuWA-iS5@JA&ptDCcmqv0QftGZMM6C!)Rw##$=t*tI)HphEi9{mBSXv*g7PWFC z_RSs&34f2P&6IUjBwU^(3h2Mrx%64LXjbZT!}|JT&U=isRSQ@W+Iw3 zOf&5)QflmC3&aEXg?jh#h=B7{<#XocP&AwN%`xiG3ooc149n)Vpst3*Y9`xQ(vwu| z4MlSaO=4J-ibR&((8$vsYF0aF_Uu6?Sq3LwQ?lb z)N1yO#U7sXoDW26&v6LNNz1T~5O^$l3G^Q4Okxt$N(&Qk#>Y;tGeQqVOI*UWfx}rr zS+zq0jd|-Sr<-^n;gpG;UKGuP(RwZ+IR%jiDd0Oa1@*`vj>vN&nv}^lL8aF)G}$wk z!nPwdTN8(tU~23c)1j5tq6yujbz3+9EpZ8_P{S(H)iK_j1C1$z&C>}@#j{0F=un^J zI_{eX5kXCQBU5e4L7Ge$K&InHCyeNA8|;%N#TyE5aHLQ=R8(OlB?KmP3gV5Wed}!t zM`y#(Y+Oky-y~QNd>_3ea3&Wh4rJOlrQ^v8SZ44_CN6;@2bEaooozK2(7ZrYFuijq zO#(2YX)TAM`DmN--qBemqA2Yfia8X>7Il9VM#vLs->e)O0U~h;vW@6M>&2r%?qh6I^JqV|GCFQM%miY9iL%aKyX#X5S4 zh-kDkaDU`(<9FyKp>^_W09w)|Tv7m` z^k#JC1w9F2M92H6=)Bb;p}Ag{xWQ;Ux`c`x(2-0X3<@{qsUw>XZb2=v>cGpPDoD7L zagaN?MhJv%PZ!GEYOf`@F-@R#`xec(p=e2$K>v7e6tkuqnidzup+SzdNtbYuI`q(! zL(yd75&_poWFx>$?BQ_+azb{6dC5zJ?bYjG+ho!u7LkmJlUJk&aCB^ohzLQ}+9p#) z#ibakm1WW;)-!rkMVnw7Zwp9`xK>Qd#FJe5v~SW4wk_!rdIZA=1_kM&ZK$uH6(G-B ztsKylj#Yj-(iwo3xCG@p)SDz>z`A`iP)0-~$U%Kjh*-Z-Gjk|fs&OcnGDlBYaS_!k zWAG3tKE+ejVOUzpc%(A`&GZpKPQfh?nk(#^k;rBeLddCPn@LrEI?@?{mUIcM0Oi9W zv{2C}!6Fn9Qt*V^v6TfXfnw9y!P3h_v1 z09w)|7Tyl$^Okk8fQ|?}BoQOhh)sL!U_wLbGZZaxi6Ek+9Ak8fZsc)fQ-(T+cOfW5 zI(-nr`JrfuOB9`})8nW;u1v4&}i$~~72rlMR#z7$xy+npbdWNATE&(MW zmLMkumni~--5C{$b?9dB zzYC4>u$74R-nPL!X;>ct7NG?lUvVS@(-lF==8;y(baQ zI)J7a9kw751&K+=ANX4K5iqpsXirw?W+Y7%RgR&2lHFMcDsB|QNV07qV%lt)l!6?b zyW5kMmSkzwV4LpHC@ml#fIW?2eH%SJrvQaE7)?hs6f~X?nMvn3Qb;5*jX+@isZrlA zk$Ui1hlyygf_aowC^J%j(&9CSVOB)jxJ)Vtr1QL!l{Ps-b15b~lhF{54^W-5?!di0 z$6WTmx@ju9CI505T^;!2RpW1dH4j@3@*0Y(gtH`n{5#rD7jB@;byK)1qqSo(7a z7qVZBfWfvUE|JIZGaxM$}FQ44EQT{ijjXqmRe!2@I0V*g3#cAKr7VmSsPkDFj z->f4XOGh0lK1=%}1 zO%+)d+tOPtK7lUvt!9zSVu@Vnrp;t>n>JTWQaxY zS_@eBG2VFtNubrjwP{gaGORWwJhYqPojHzOKbB5H9oC2-H=lLXXm_S8JzKXEP`XtE zb^PrTjvDj>usV9&t?!oOQ=_dDP~kPD)%$#%Cz@PVn1TU$6;&?6Pg)ug?kjskxO{Dxhe8vU*+u zdW1aN=xc1*ZtdMg*Rz;qaE%IP(W>6s~q=WzEjo3Za$-GVXRtJ zEV0XF+jq05EDXl9(t4~^=IJs0O;#Mw)oXaQ{y71Yu-LL75EHDJt+%$XHnP6k2-l`n zvBU}*+a$DG$3sQHac!_F!Z91?yGE1xUmv zE9HEoJnYx@eL9eTt8G9SR?Fzd$!n^jTJbrK=Owl$lU1IUhQEN%Ac8Ci4yqDrT)j)lLQ=Oy-iNc_3M-;AnSSzs?L zC)ELE`qb#Pg#xRoUt-sbh2#z>Le2k7*|R`<>$|P_B3D`Q6QI1rlHfLNOV}oPs0ho# zY@6Fh+w0xkH7P1v$`n1_O|gWYTHW2YwMOZ-CmGPrPh-0}2BYTi{nnJ1*oFYmWaVOg z44F-BOxm91che(S)G?30xpeUn`^&a@qv zG65yM-m9g^c9Ac8Wx|)(lfM&CN_sX+mKU^{{E`Q|S>LmXEE8Bwc}b~>@ldwCqItJ%{|a30iZPw>M_+GG zwwIy=R`a}MmNxikGre7MItp#sg{qg^9H$_%Okg$7ODu3$SX#+T!_K`ht%OWlvyL~w z|Bz(@t4%*|YXN(*`b|lHZ)9C%50Pei6HcMW`2k(A#BQ-MnjN<#ro1K3z1lToM^4Y? zvqk=9KTTF{h+baUiPU` z_!tUey8U}as6UI->>Gej zTFtBc6rSbh@^(qxjEvHpS5ai%jbn940fr<#&XTH>1aAVX)%R?6(O4pGb-)&jWHZ?u z6KI_NQA=;K@)q0hveYxTn>Dv-89~;wRcXfU{ztk9tk!k9fmrP`gcCH= zjxxc-o=+{y?1=pm=27LLUBcE&XTjI$<-+N(6h5r2GSpYDe?ykQYKkR1hJ~(?ii&KD zE>!(>E@cY#cgcFT9-dJtmUJsPZ1-D9vmXYdqy1I0rFrdj)ppfH%r+0X6G}yCrf_cE!!ul z#mc7xF1n}NYK{rY_B9bXWW8#&9)32(68bU_7ias-sO&E=OR8tD|NSFpfTl1msCX;^ ztl#FefG=*}B*(LKdH2s>z-Rg4oU1f_H!BMnk^+YQ+mj6PH*K{gU{X$97>rl$1XfdC zvd5|=mu)*!H;z>_g<;=lx=oYcrYVejEy_z^S=hlIpHVt6IQt(GT0L79<|*fJ&Q%mk zED5)0kK&_1cXor>1!t%D%cb=<`J}o6t1V?gYeQ0;Ykodbp0J?pMQXL;w`qybsJ5PM zfqc#+un%En4+09d!;IEy%~u=IO1LJ!yAx6h9lo2oY7@d;FGYM)Xk4Cig{Ke7O9nC6 zzMLiguct73?SL@Gazap*UQn*#imDc!H%svc5+sy~?>hX+6Pr&-6j zO(CtPNt6B|8eu22OK)-(iEwzig}b3ud5MKY+x{@|mqQ>dcP0}$#r9uu?EHW}!#(rv zr+XCe$(9Rgj#J2Vz^aMLn1_@p7?=Gt>$n-7l^4?vTNT7rt0Ftf{HYCBxN zRpll0d=AfNiR@-o&uaAWrt{ynPgZugKiQO*WcwtQ-bfQa0Is*)+oUV%VkbRY$>BPn zDKD`knd#SD9|*fGpRHg_qkLu^uc9jP`mHIJAe}G)P+bX#D@D`EF&Q4I)m)`N31Rf7 zSx3Ezv1O{=!fv~bAMWmrcmyEB*D)+j^KP!*pJp9rmlXSE1)xmcf2#q5%?BruoJHa@ zs*%DS`tB#7Lm06Qzh8fnDJon$m?S>y(3_m$sN57w=vLU4%(u7ncfVPtJmEKWXOT!* z(B4J(*_4-%LKWK~A0u{a!w|t+pwqY zhd2Ia9WQeAIJ>p)&z^)%Zkb7W8J?vo6S!QRMbGB>WFO)0HdN!-9jor%5y|nudo~c$kun(R=DoI(+5^7s5)_y z`*=Pp7BgWpS}r1uk6M&-)e=74clyvyJAPLL9M)1_*@`JkxPYjZM=U8GOMc<3Og-D= zMeb$K@fb4P>SRc8bsGMg&eLzxhjy;cF&A*Ptab%(43rexQn_lYIi@$vlDyN0 z^K2F)ZNnW>xw8S;u;-aVvLF5ktCabAq!)cznFDcZS4|RkCu@3TM3`JDKds6nZ5f7_%PDKJ%y6=-HM&!dITAV@5y7ng4&Jm$^Xr2 ziY1IW1^|p9Dr;Wb5@KvaKC4xqWQHSGQ7mCtL%)1D1R^7XLDJQ|^YoAM(r?p;bK_W0 zwp}($a}l*-MSmHne|W3;!|hw)zOrIT-@}r;#O?A58hBOcWbf%}DLJV>nZo&G>DrUY z!m*W$cH_K{WXF#=izO`SsQ~=LMu@*j#S-KU?7z2bpgwLN|KYR~zPGH!B<^&6{EcbR zE^;7Q3QqDUidF&#KDeay-HP7rV zSY~ZLMoDa(1?EFj+M)hr9${2_^}J+P=qk{3^(O7VvfKorJay=2_vu6UyjA5T9Xu_< z6D}V@k^oLL6#eu*m#yzA0O5IeRV-;5@S=TrC7uoDDOWpCPogbyY*vWHIF67 zKL(M~KQ8T&Hp~{Z4#QQ`2UlK7aaAeBl16Sf6LzX^YLqFuK@Lo1c-4KxY6)}1+V&Fw z{wOmvdLeivls3z}@SMNtgEBn(@we&2x!){HumZc=S9)6l$=t*38|%&A>X0{r{TS|s zDlaLC!fh~sIIWuWmhbzc25)5_tO2g@PU}fn#c~QW$_m6$1tj0 zu>?pE@b&C8CfhgU$|$Qz=czicBaZm!-g~v%(e`7%{M9>I8F2EqRfXbr+sc}(jQEVo zYn&r-0NcRt?s+ECwl#&pXxrc9j=xFuUUxqPd_L7XTtrB_g{UCap)ZJ6|2nx zZ*Z_tG!f%}MN0G{J}w(UlT3RD;XUcSSE?!Of4oDF20%yXfB0l&sS@rh%qH)OC9uCN zOzl6CbUWJ1*eQ>S6k;8HF z&I9^MMjL`{{cqlVRHeqQ^)OuP>zUW0sZlNA^LFO}{al?hqflyp``4lGb$~p_7fa)h zA!HnGSwGDK`c3N@Y8?9$)&n3cDN3>^MHOr15U!WF}hmTT(4_zE2#BlU)Fm;;aUEj2lSgBuA`Y%-HXJM zzJ{bos#+}%@2Z7+3fW^xDHt*xX==U6jjUkbRe}yV`(z~^xw2vjy)(p1=28z2@*A#j zqdQtNyTW)5qyF;r^JW1zS(Qb#wB9c8PHEpP!j{dBR_3(E27gJQ`<=!>cHJSFEfvqVnEYMwK( z`RihTaOUyeYkhBW&7;**Ded2{rk=wu;dbc%dgiXF6Q6aow;DIMmHCLzXpRFxfMMh9 zJpG~CeYG%}rF88Q+mwe&ThrSmRH_8dKl7pcY+t>g-;|fm3Bb?7>NlXMFLGfXZfBr5 zTGQf(&%49=lg0BA*wsji=kdABcCy>L)%oere^&cVd8yxb#Eb~-`!`*u04T6P-8wT@ zzu#({v!c9YZX|gb)J}1rp*>7gOx&-ddVlffLUllB;elrq1ovttXo5RP+nv}@Vs7M@X6#S$wnhUJglQaYEAVy+0c=|g9i1~Fu{ zpXLEPo1J4U`tmG-3%3IM&hFIdcXuDY+W3u)&~K-g%~wbHH0(GZ4 zMQZmwX%#-Ev`q>JnVZ^*w^5~In5SpvGmfEGUa|&iua?W@t@;fp_!+0l7+1;v`SCa9 zC05&zO%mfHm5`a1!{~L}}h$@Ih@^K3;e=ekrXcEU(^bwGSvPcIsUVN&3n%4iBv6 zc?n{1hX$&7x79olWN`7&vvo)8_qaELYMh>~g4^^#BF2)IaluFstbVvVNPODYyvAXh zSlEyw8w2-_0i%`1>O7V8Ri+4kH^maXH!bg4miIixEX#`!AqE~Q^1N%0l^w3To7XsV z;=pDFqx^Bo0hiEj*0a^D=|hcIR84saMm*Dsr}V6M$R|s)*kTE+DBo7?2t!}PEXn3I z4ijKpX^W52JKmLc$y7zI>OF=fIT zm(V)1+Q~`*F?Z`BC!}hZj=tM=ou?oA%F0Xf5t&(ZyX01oxNz+Gy8Aw4WeP2aGli~L z(wKX7Y@+)5n;O-HGPb>6*RpNSB55tm$LZcLN%)hI2PvP#rf@Vkp(-HT&}7Aa3^Oeh zO9t~3y8w^_)36P1Q!9mwMya&EG!KZgNL1rMjwy6#vdA|DPeR-a+()dxYla`g{%>8e z1i(={wrqmsaNL+k_pB7NcipDF$Gu3Ff44$BoMT9zt6K_&%2PcpnY-E+<_Q&vpXLGg zO=72N75!apU#=1Dc`&1TTt9Dpg^_W?YaHOUi8g{~c&#HTvb*!&Akx2iz@rNM&sV!0 z`eRLi*PJD7dx&dPPE$Gc`+F~9|HJL;VRw+*p+6=M9nt)Gl^sFn~~YyNEVxVCfgTZjIT0c;h!+qMN;b=4q2Z~ogNZ}RQx zvO8SA-46Y@FgUu(=s62PyeCA-S){92wzY6FuV13=()&&>|$B2Uy_|E zAJ}a@GvhT?_TC*rG$;b8tPZgg&U?0$>`F(FwpBlBWTXN5;U)89)6Ram)Iwp2fyOT0Th=l zrCdoJ!%KtsTP;3)@Vtbl7*JVty{rLRdSR}s1HXN>9j>UVVo7G;ZM(m2SzVQ7EA5US zy84sn6;vM<{!JFxd{*kk`N?gUQc`QMpx1+-CEi{ZQt*G0@pRH8& zUP~Muo!>688lW73gC@^i%SbFr1BOy#ySVmPsXfd_@EV6HqGjbDRVmW2N#|?18A{XX zE-kLHU;Vtn*gAFgd$x^Nj&0OE+S9Nq!@Jo1N5uY#CFnfW(euX|oTlEy8rnUsrw|`9 zE(omFRpnE2Tj=;qR_qn>tZ*mgpt0o2DdU2`YD0H-o3p0VTlSv$w3pcID$p*eNjSWk z!s_Wwc}eA>-aW4(r&u_eEs?N)6nqqwYaD~oRO9p`v&VWGe?jEJ1^q)Tsa3ro`^dj} zBiy_DfVn`BDS5O#YVUH{H7mq^mkL1bVU5P_{St7j3CiadJU`D4KLNauI`mV@OEWw- z?TRIq@*JW?dtzMwIl@PUzrz&!r*3)5*BwT)bmb+s`P%UcU+y0;?EG2wT<`sM$NSPT zY;nG6S1c(I#2OYduD%C)epM^ArD0{~M2P(s?<=du!4jN{%$9I%mV6vQYm#ngo5EnU z8Sbie#gc{g*q}X9#gN$uP-1o@fNI~# z;ri|N%&$$Q<@Jl9<-VFaKo{&5vg>ZSmaPbV2NfIcVyE|PtDs3yj?n&#llE3&yn;JX zuIxEiJXgLw^Ye}l1_B8MVK7b;n<{HchrYZPC_jd~Gr8zZ?lc>I2TkA2u1;=mi-)d3 z+`U@t;o0KtnO_9Lp36?NWjqh3F!9$$2H8tG@SCa@Jbuy!G8iAp-}P@b=`I6x|u(wIj_8$JX@TOJ z&Rg~ALyh-dtDbGqs{kvhIEerz^wvH5=ev0~G^_|&npPwKw#bY=)=M5YZM|_6Q*_?4 zBZ$L!Nl`38l6N!4aqjxC3uyG+dRH9)>d^bj;b&7UAxJX+wSUopGT@cFMK0kK{^`BO zapu$SZvL{Co!6nc>4B1Az@s$mpEns+ODRj|4Lr`E4po@ypg-_g=^s6FM}GG(!m21Q zsd$a10;ycOGeofsxx&v|bB0XYziI4WM&fQ|+VzsvFR=rKflb}s3(CWLuRX2|pM95L zqH8bmjhl~8CR9Qz{T*`h8bJIQW|LQsCBPRgPC;1rJqi1C%&eRX&3|>V<4Q1!CFoqH zZPl%}bpZvfzW2WT?yJq>SnRk@W>sENm^me6)TAhaaWRGPNFs94yis2{oW0hrXR~q& zVe0E~_}7eVL``ZDmm_oEhZUdW3}vsy{;$hET9u~-(=iJ$D}DHH+ZD6oF1S^B$xOSU zTZpXQUgzZx3U3;>)A61F#7*^#aCH+}3Bzgbjgce`1R7@R=lB;*I!&QFWe!4B? zvI{`Gj{h7VcP0XTE13P`xf`D4H_uBFX@7^eB{Bf!L&tzo+GE90wx!0g*oq}~km{Xx z&$n6`3<#)jmX8RMuNFqeHN_IUi7n?zWj(iW4uz$CbF}=GZ4@uR#HW2tv4kEM7M!Iz zvuWDlUKU=mX2NB7{WjvODVB5$rn5z=zPv-v&5iqsp8#i(lo@}M{j=Ia7GfnqGr4}& zqCe?+L0{dO{9DiblBUqfwXis*Dq%n~)T-N+;j?$K<9ySmSkh=+z_A|v_3(-nZkE#4 z>~XRdX~tQ~@>|dR(yJ|1ot*)r2EeTp6tq@XoP<>MR%>DYTT?8tzv`gvlb42V4KXmQ z{UM#c)!b9Qj(Ati^Ab`#D+WGdC5Qtd@X@kPcU|gFg4F)0XMWyfLgF!faj#gQTV7Ji zP-ZS$-^=>=sb@Yf2E$@TS(k4A*9*$W2)Y-slIf4CXC8O>Rlfvb7I^sW4K^r5@SHx= zMRl>eqH^nDkL&LJ66k1L-B~T`Z8Z;S@#QLJoq2$BR@w|Bi2J9;L20kHRYXC?9}QCS zaJTTD#K-9=teDjmOUmA;8`sn|H$_^ZW52cB1-I%pMX&Owp7|+gtS-&?K_!98?LXTn z@AZp;OXpe;!m7`3PoXQ893_LgN2yLf+Yn^P{B#M8G`(j&!{1Fc4)Gq?$}VmeV8v=8 zPub~R=OatSZN%}DLwU(U+Pm6idH3Xr$`=2zhuU8DjIN%-=;6-O?PA|iI>8|Wj+38o zIayIJmy?M> zqhQ$Rq<>h+s^8+Mh}*@!iSY%h*=ErgrCe~!%z_GiyVyPMxjXdTz)3dCJGR^%;T_f0 zQIqx#y=xA%aISp2*pCcgxi(TPZ%cqSnHVL1W#o!?=)>%vytEqcjCpgDT#qH?6U`Zs zLQhljqo?qjHp>n8FvoF&POq=LH=a=tzFiogZtsSM@9v^laxpoU25qMxBgG2?Iw>#7 z?hf)xUsMvu+GQC!Z&y44ojPw10?gi4K>9qO)z7pqd;;d%C6@0j zJ6fRhUrzxq0enH{NA)9bp}aZIo0B?HFbVj`uow@jow`|@fr52*m;xVC0hEU5$~Fc;Zn za>1eEs^QLFx9j{my}xO*{K0bUcW*Kw=>?TFkMP*^-s^O2mKkQ-Rplk%!Z4QWKJ5dE zdZJl&uF-NeuoaFaRe8zmGzhI?OZsk>S{~n%RUFm6d?viYRYz4U;Xy3LVgB#}zFl`% z`K|6XPTtND+hL|fRV<;DLR4y1sg$CLTA-;dDd(2t-O#u@NL4JM!E`ktg^aVc`?hj? zH%*}F4S8QVJT>yXWFt4w_HtEVN&@Cy!@Uvsy`C$FcZugEkm3H6^+)cF{o4}sDhgaOa_@2Tay4Y8SBBR7I_d#3#^~~*fF;=+_ z_NN(@iuaY{p1Z1XU~EAp9M{;8#!sU|j;6wg7M)#%JI9|*HO|1`mok5g{|1Q!O3Wx# z&*s=r$k9J_u}{3U8mCVb8kHDZ>OGmQFui*JsB2H6lk`&;`<|qUJ}Bke6ZWH3nZRZ@ zwbB1kO9|&(Jt-=q)`sI-O7CRr;Y1;$s1Xfdxg9CY`tgk|%&ch>w zmVBDY`2=cJRBgo3(W-ImFMZKs*MRW0P>ywg#S_&5ZK-3};!fz@`z4mU*_)g&Xa9b+ z6~-3-DZPjEOR`h|db}Ijhp&dvS}; zsee`e>0&#VcGR%$%urrZ^E?vVWx0k`fqbz^ywstenk|kQS4-LV4`e%0j~;N)UV^nP zA4%wJbQL1ivDkK4!rjnxS4-!jUJK>i@vztyxnNTDJ){bJ&&S_HEUp!i-?LS`>gK53 zdqMX5>{%1=*R5y!@TlVb$?~49f$+1(t5a&uc+%8*z%y^P@=Q(7k6{FHeXEsr)I$)( z6MoV%5_lf7OMlV=r)RHmOmBOuS(?%9c=L2h!&jU5QQ6B>r*}G9bFT38p=*~^2yL0b zA)Glt(REb2wAyy`*p5#h#@i)@Igb6m*@d#j4bHZW?R43>T2OY~&~Ti*edP;*m=Gj^ z3Mf;U1AKI9nuKv=_+SPjzD^(mjjyA3;9%S;-^bRm)lp!`;F7E340i z0bK`?mP|P6bnp(K@Q*rfg+GqrAFYVt zN-!g?3Y^||TM+v!$4QQz$rfLLPxdS$>O9>AcgA%v6icwPzG!U8_jf4Jt=p-0ocVGW z+!@YZt6~WmKHbpkV0xd;!qlIs|6}N>>+dLwemrt&o zT6ndgs0=J-!M6BtpeYJ0UtZZqsoukjbNi~tl8tjCs@vi~GisQ1A2j%TwxX#~d4d3e z)f7uC+C#d>m0Kv=gmnS1N=Kp=-8g*XpZdxtmK5|6sVau()$C6@;jnbP)2r3uc&?^c za%yfK?lxLaC0s3zAPw(w(&dpkjsVARiXzwUaDdo{Y$sa$I$EBMO6xtFPsGZIYe$#2 z8qyjkYz>vYw9he8`Y>e56pyNmu;Ov6dbS1$8JYh5_M}}kFfD4G`jln4gAT>_KXb0++U=9I6I%rOrLIQ-qFZqqggN=N;IfNp63t*Vy(!Sp&u44u!P`pS2g zKrDs$+BJxqD+{&~?w54M5{nY+ z$SXJD6j}p{y789zkPBUfJKiz$eu-@oz`Ln;-QAV~WdK7#yuSR7iueKT!Qp;W;r6`5 z%6mJ?pdj9!JmWFYpjk(-c`Rvho!+ikf<$StO=8K2peqYId4{)+jxNgZ`jfK?tTsNY zT?d&eL63Y)#p;+#{-(XFhu3=;tJam5*y}>1)Y5Rd6&$)spTIH{%)YwVGrT7iOB(dI z)5TVX2i^n#iy~To}g&4q@|-Gxa(i1*S=%NPPq1@CSvsrFV5UO zo!*o5GonIPjqCgM6c&K1J+7tWA2d(14w$#Ubb8Nfqy^;w<|UqRG~&P9_N$&x@zFE3zO8M(T-iO z>SD){1Evm|S%L(g!N`>pvv;!>*q>bLL-IGx_}-B5xl7=$b@MCnFa&4VHO zdy}cVj$s(lcsjk;q|c%uo)Ytz5d1~udS>fm>jYRirz(HN9Y@!Dlf9swYo~d4p^ysU zZ0}aRr!b^Y_X8{Wbb9Zz*)}<6Ztr*A>@g2iXDnTLdHA!9-w?#l?$9zEYEk#?v#csX z0dmR!#3S{&!kRiI`z~n-uUO#8?*t$>0C>_}l=5&d$q}CAm!j`B${~Qxq%_>#YiHoc znAUr*uACe1swtKLECIxxla#6p&U3YVJ)81yUF;E8b8ddRx1DWECa1_W9bC=y3OS+LNu@own+OpSih!MLkIQ%`7Y$c7ok#GNTSvIC}F z(SOFDZEKfM%iD3AMbcl#8;8bu?oT%~PuConVMn&AyrfYD%!Qbs@=5IM)3GSgcUykC zS6s_BYcrH7_+v}Y#&jll^TQ8?C5Aaf67a8Siz_E zx0+>BWIgSV$aia;mEdySZrxun%f4E8l3B;wB?uT>nGaoEX*iC!cCR3brWF`MYobV;0n#rqWJ*&dT;h&wO?inGy;c-fgl1F+pm39rP11Z2669gzeva`e3o7%-wf)FUct!o>f~vA&AdvC?;-( z4Nv0!%!Co$M?hWlqb-F43)$h$Q}Q_3;F4$1L9aiV>{VKgwTervx#~S)cE5CbZ=CE0 zJlrjX9sl+8OZJ57RGW+gn=AO(r5^5Ldo1B49cWJ9Isp|1(yYVr%3YDGjWE}!tHwdj z--5}$L%jPYk5qQE%_9Hq=F|1IenSxdWq6i=^UJbN*H2>zBC4{Wo`u8faeve9v4qUZ zikel`Q>X)(Qgk<5U%3h!im~@Eo!-AHzt?58U|$~@LFQJQDDz@Tcjw9;_v`4YaS9Fc zX}_%{4WtlRg;>%w59nLGj*;TMSM^J1H+J+5PJw$*Kti%=kKVhdVN$9dHH>KN%1bQW zr>TtKqs1EAfbwCrZ}cI-#;z@ zKOJ6jeLUg8OGM0hx-h`buJaUk(kpMZj89QVH?6+9+rA7~C9lt=`pW zApA++osE4vPXOc4dv&IKZOVe`k0{&wY!;tR>7Ar@Ny}^1OrJrZ;t&6=^qh36{uH{ZUq+E@%x=JBcYiVEZy|6CXhpVIzN3E$r9d6SkAFH3jE zn4;+>I}`<(xUI+C@=CTJf6^entD&TcWKiltYr;`G1|e?twO#Ku?t)tsOTe_Wf*R$&;U_<_Bpx=rdJ34wf&ODysmHD2nlr|E~sb?$npZ{kc z8Jb0d#=D^(6@cGRw&&R@Qpeca4Oeei6`zT*r*E943@@*6W?r@;7uLRZQP(LL+*o$k zSuIeTBw+LUFfHO9Y3Z%DA^w0jTII7#tTreMM7H+i$C2$f4dTB&X{Xh4gWUy6C)=czW`rhT9~a0;ux)v#De9YR8P+^aLLQ&=~&DwZJbMWgIb8UBhMEb=Y; zpQ2Cc9-!FG{M36r-)&*ZSz*Y!{39(CJB3@8r^S7Zeqe1?&r29#&cEAOG-b;=rz*IUJF^_e^2XIAG$ZUDEy8Mi^(_6ibejE#vg69-d_-fXoqy*LPb( zyJUxR<>oaGkqDq+^~uVHn~074XEoiXWraPin`#^jTo8rR6`uQRAXH%OIHGtrG$CETV7^L2f*eEh>Lj#TFf*D6#* zZE<%;#gf9+W_fpN(tB-;BPz!0id@wdMQRIsZMEqqV3n2G6Knq0Q{4a(G#Q?%g)-zH zP-k2_+G7b~!^xhoWzF9Tuhwp$;flvo$hbPg{mG_SV%Y%w8ThR(ZONA5ZcyZEj?`%> zJbmcOOK|r@U3`6@D*&9v}RVnq~*9KYSwB;Ou?eZNBGFLe?OjtVm7sB#Ytl{ zoO5;MC6*~#mYhbuj-#g+1U)A6rv%m8NT1$oxErdxgzJXMeX5$$Hk@PUvRGYS)4pwS zR@#pHEvm+W$A|gVb&LGFsL>g=Oyv?WPwy>@vtk?SCk^7e+T!v|#}7nd3jOxM?-K5{ zY2MxAYL{L8lFSGm71Dq{o!BJHSTYw3l0FNb%)~DUow>f=U&BwsTO06P3 zj{Pg|?gkM1Q}6Zd5)5P5?;14>?9Oeg2&*=e{HSIQD?;YKKmKzPHrr)j(==HjP(unj z%+f!dUPZ1l!;$NDLs_jJ?>D<&ToZN8-Eb7HP0gsfq^nj}nB982q5Q}8-_|2h+NSCN zwBoZ}ve$m=tmghWwg0ANd!G%*&jkbH-?>64EfnRSlFlu^@ zpTQ`=t~)Yl&w`{*l;hrZ^Q{Ka!FHt882WDDc1WMO(A8J|);QtSmi8p_T#26H5*B;d z!5+m5)GWO6*L6CaDco-8Jpq^{+g~^dr+_$-g%^4%=+&B!+IBB!B@k=|xv>1rv?M)*PPvW&MHP_8-g4fCUn zD5|9&WjgeHN zonUU~!!w1jdvWc`f^b_zvu)Pbdj&**#)v(%o~>%$tseucDK7zudeFj$)^@AKM3Ipp z;48dzf0I3~aNw~7eBWkzzh8!j*E!?GfKQ9nLij!pkJa`g122gvT<(bOFNXjs0yhg z;KeDOe?y|4qTP1js?5{X_`!d)rQ;mGsjoQDvNc8_*Oj@!){ z@~2}Mp1(E45|l}1v5%A;26s>jmY>)4z^T<;U1|>VyIa#PnO5T$f}-orlr=UZzbTk+ zZBm4+Esme`8V8q?al~KrCi}FkWE9Y^T5WrOGMwQxi#(}SeAg?7po;>z>yrF#nSeN5oSC}8rmaj&S2`8B(^q5_Em4>-HveCj+ z$1tu`?Xe`)Kh4DSs(f^9D@5oe)E{n|-k*$~fUX+HLe@aQ#}1j=Oz5F9Xr7u0x2DNT zYjMW4*EkcD7*ja)UYYgHfgGRQRNIiJMT=`#b)c@B>YA1 zRW;7Ar52Rry&k`tUKD^b3N5`{S71%yOra~5?8)pG{*OEfYd#|!1}s8rHsSDk4Ras5 z@{$aw00|x!`1^uV1Kbib~%VCZE+n=oGO_n29RkDOML58M<(wh2{t*8!Y z^~e5XJ!4CYQ%sxZdd%I1UHROMPF;6K(}()VGJ(~`d$vq6i9pM3S^t@A+W{}Y>i;{A zSPdh;Z-4TvHahJ{`{UEp!Z&`{m7}Icb!V^I>Nx#kMYeWl+1R5tQdgr&m3^ z67OQ~x7q~yJ!xc1!|IsFkaS)1p+6@*W#%i6XiV=-7R$e_%2>OrSfk6f36jO#LFz~8 zEIbpw{mFWAWjKlx=&6vXsEr?&i|TJud(u`5GW@%BJ_@#+5@ZCIG>;dqL-VqCXW}Pd zzSXQ)v!$^3)&15e=;+daT+6nzBvV}BVClSNh<5u7PL+gMU20EbFWGmAw2(?1r%)72 z2#Gkm^r?PH!Ki@w{-RGiHem+Ozoy2=|q1eyeT7 zhw(r3H)&OWJ0>gnLsS+v6b-hY`jhn(NG&tYPtBA5NpGeeu7_50Px&0j7*_2Pdq*HM zr;A`CBM2|Fe0E8#9=XCj^Xjq0id>{wdX@g9#j-^9u)OLhdHF60@5$Qz4mcKGmaclg zBpo8c?B&DncFsx<-#AsV1SUD{v*Ck{VLJ!EyOKYMM(<+R_%2Z_LB9m)+&$}ylQ>b? z|K3wp-CbO(z0CM(9!na(9Kp8av;5YNbmNw)RB7%f9LEJ!#S*~E*h*aGw5xWBt|6*E zZpDs6Ip8J8UFhiyujg>B2X zuV(d2YVN=FC(msPTyymLQM+uQBrGHTR8+-#3ikKO4Ww{;5BCR@;@_5rtzRJ}!}KlI1CRkXA&C zYqfXPICgIBwE=H(MG-p>NcwNrW@*kfYCpIrDV8*hV(p`?@-+=3yri8!+;vS>dI{g% zU9kjjre5fC2~cQ9Zy@YbKJHik-Fm!Q?5c6>Uzvzt)u)_`=Pm+aXq|1XHXR!}<49EX zORSQDiZHOx)2~LLF7bF?8b~jw@Aey0{@gePf(qcp@$T-D$sQVJBqDP8c^f~RH}y*> z@a?G0k;D2?g;|2cX=(|&DR>#w3Z6jb{ETjqKv8PT-w z2h?A`s~ts1OjPFQ#wh^v4st-SjON|YmcnXaw`16DFUSsevkk9jtJH1_lx{gB>$BkdmT)Nm++#@n=)`jFprr%3{X#0erx0dbdn{o_wQ=nDdTlZ3E3FH*-cUBG4wM)dp6p{wC=| z+6GLbM0UiThuuTzgE4gcWIV&GiX|3g8|wI|$3UV~R(hz9|TBG;5e&cta$c0kLt}9((h&#twOyA0KOYgFhGi2gOROKbWeC9$P zZVF+wlife-c;x)o^Ii8j&iE10*iJW;jHk8sAz*Gyjxd?@Ly@GK_=7ijRV*o16WTAf z@>C*fScO3$qPUy}6wI9Q*WW^HOk<%(1e3%84X_RXgJe}KDyEIX2JX2^@kt>mdPfC54 zf3(5^YrCyjQvL3>AH&b4STZ03U~Tt?q|Cdw6*+VDcQ^)XTue~KOwp|x> zBed9)jf;CdX(jS={ zG|LeUwg1@X-P@VFdxQ~SWO5Tp){Afjlapt#&*UtvDFJ_M? zUI$^S(}bjH?ubTd>eP7W>Gtq=Hc0vT$gp5|uV2iQ-6j}6 z4DYI?Sq`8@o=q4fDCdeR)TOtYU2A8lHO6BS9?knS>^>EOxHRF+@5u9q9vJMFn{BZ} zZ#_~1_XKpr=`7t}@{lRjaSAogfo^ZLf%^3X{Vi`h47N#CdUks4a75z>yK)xA5?qRp z{ApHg3IZx|B&H)iieuGE9IffGq}Jo3ceAS7dj*hz8b|kPu{)lthn-K#)CsWCaFd1j zWro;tJ2WoM@=KBG#t+K5MX@9o&Qcln+1@TGu(_=k`6y-yp7YyzQ!LqSfn?2B&F>F| z)DCNF4tMzdDpQ1U<~36^-~A*#imR-zdc#d zzqA)-N6?*_-S?q|r+rni1hL~I=;2Nbi=`$YlMg!Dd#~|%K&?7&$0&fKB&^=kmM+X186b$sz1W9fN9Y**#>w zkt^=mG(J%oRD|WO>X+ctVP$a5(*e`%<0Tn)c~@Ryr4!n45K3Q%ehrZ36DH%U1Im)} zQi)d`b?JVy?O}z)+F6XWLaNVjF}rZ-aP-)S`x+^hbnHDleJo*~EN)ulylsW|Y|f)9 zaX;avyabGZ-JT2Vit2y~)2?4a-(T<5pKbl9(Rkt{2n90pRvc$;G1y)wOwE^1W+72) zjx(-{PC#0h0qS(m$*B718pB-fZ7GGd3Oz~fi=aFikb~%y1pJZ^fcKPVBh&ZrPXulPsVkz zoAQ!gF7DKR^{W;Ur$Yq80;P~~WBF=7qW(@^Vh@$L%DR$A^sp0FFV}7E_V9!;Y$<%d zHN_H|$Ce1Cv^6AULTr^jIy&waE{ETi!g_ekYa9ktr`swz%pok+(b7eJpJ!`|ldZ

    Hln&%~p+HIy)g&ymc?AdKzTbF-#_ugw?ajcqR ziDi>i-iUm-&Xe7pM8+*tJFeTW&z0l8M#@WO!+6JH)fHsCZQXSQ@m6x6dsl`x;#Egi zETL6xpD9U}+Adg&W9>L43qLvB|84wm0=Axw-c0AsjrCv8jRz{PU3hLjG@aWwOPKpG zRO3K0vbbTT>B+sX>2Ep&(6ZH4vw!JT9d;Rp*{$RL!TrVtoY*Z&)CqPBJ-qFAEvByi0CZZQKbo9(Hyi4>{IYfV^_H z+wbn-cXv2)-LBd=ryCF+&aIl`Sn_=Im}=79Z7Zubo$EKPzx&jmnJUC%fLHeVu}b!00b~%>W-pJ?JELL+7U(8t!uqt=1QFM1*-?_B!lQ z%ic(p>I5{$hPLo@z09{->4)2dxUAR+*;1}LN^^zrGF-`XgjJ==dgskv*#ZjJs;d*# zf>-&<7h`yFc*A?I?KiEz`zDb#9<3!QQ&?TFP^*|H`Ts-Nx_?0b5gB)439jJSkrWZt zv2rY+2dZP9nlnJ-%J4P6)yBeex6M7AkAo9QzGC?5JUKSB$N8p;B|s`V|HhKZLtU04 z3{dqS7hJhtmADd2RV=Yg8NM^EE=g{asZ5J4$=T%JJsI95wduQYu+W)#O)V}VM5>9C zj(c75ZY^=|pW5GQR&satW!tKR5tHr!k=9g)ema+Sh9{X-u>{Hch1E&_04~t@%BB`B554HVS1Y!mVdcHpz(cW@M?-Bz?%S6p@RCdSIgB4-1#O&f9P=PJcaAG=CK6HBP+aTui`D*RlaST zZfEXRpR8Cl62=87mROAg`oSW8eVGC{WlQchdQa*+38_=#$nU0D(k!*J+Z)Lg)!hqT zQ?+_j$wS@Z<<}L~!Dxylj4p7%YSZz`2^R(k2=Xr(JR(($LR+PFdSD7%g;*>>*kx;J8fJG-ERW3gLYfwd`?^h8ZXSQNiI4_rBI zQzrN8SVBj)6+Z#nS3|?<=-lVO+H_2$*%#JgE>@u#Rh!|Na91oTXtgc+@$$Gv$JyQ_ zcEZwCb9GsGNk4Vf&T0uIu#L4=dEbpOl9dAJjHnsq4A2}${T0Q@Ohev|cKU*o>7ux-KgjE2#@{;pd1j~=a21=KfHZn<4 zJ68AGh$B(E@)F#hw?)R*l9)}4Ar+R*nuuY&rPadox2}Fk!%DLAo!09G9R>;ffTmp8 zYAdZa!mgZMv1BzM7ZU^F`%4Z`f+U zi+s7%U_srFR#dVF+El1h) zGQ6EBuhn`E?~>c+x}A^(D)Yz|zGv%TOSoX=rrNr@U-j@D=k~eo@4<%I3d7dKNW)01 zRkUGTq0VQ*GdvHteXi56100I}LlH}IBDz#dz8VyNSy1+lVZ1w2-m~Elix+h29=R+H z>rmROypkokmySE!PkpXKENVcW;OS~=l%ZW9LV0}U{`RCgPc`oDc>7#uOJv4T^tt4- z!Y2epkHzE5l~eyrpu@byuGKoC?8~-g7BUW=1tw0*u`}D<3U(ZaH?&$owRv;~MSrgi zr)SJhbPcwzc*RR%IOfoZ^3vgeVy ze7r?;o-BPO?OR>Xwj9s3;@ug=65dgssEP;z!K@wGzGd(`SVD@sU>#Z~AKUM~B~Qh-Qgvs`Rae4Tb1WgL26`F7L1PkM&j+KKG%tpbB~kqFNX;<0tD5 zPmP*toC3lxGlW}S<)?%2i6)?TYshr9gH&*DAk`R>Sy` z=CK6cxSiu%r{<=JN5lIry7JoAZE8RM=J0!E;H{Rj3eHY~{5s&UB<#iHx7e0<3}@I! ztY=k=%M$QJ12jpe*FGWDL2e&}mHR&YpwHzs4qhawX4@I^NZWRn^PoK=`H143rxK2n zU3tmTOQVNsACMBecZZ72VbyA)ZLi1m$qMfFKlQo( z?l-%&ZLz9K7{OUAhKI9A#+G-hehjRpSke{%*944KpahFpz`UkQoX_liuDGXsSHHwI zU$qSfW8~d$*tx<$N>{k_ax$gfaJSPBeXeV}U{RT?G&|KN!+V%eAoOhRpkWu`ZwRZK zyV+&Ki!4LknRFZq(L5H!Yq}=t40G3S=jl!j6MpV?yNLn1A(G=(+sY>@J9jDt zz-o#m9pdb)ThzK!n|8Fht~1B0gk9?|{@u2ANk_kDA8(;|421{UMxlLziJSIZv@53vz`a6qgc zOYF_GG;y?k9m71w7*;U0>CfhDgdgyewdzgUVqgmYM0x)jZFVUPI%#fT@X;J7VHA>L zNk*ulS=2oq8R@T$4iE}-(nrHemGBR}psw$R`t{`hJL5WS?0`^_P@Mc?p28iBI&|YC zngkV{IF(NT@Caqec~r%5K{d>Ot5d7NzeiZGYLs3pq~TT8SiYKjNyZhks$z-lMLWw4 zdaGuO1HX}7+m?k#?XKR?<9t))B^fK#ZLuTCe5ymW;OZ_}uAE=RtZ+Wr6iYT{1q)if zI#0Gg5tUkhLW*ZKpBmM;UQkmkv1<3o+~nl&4shOwV5q_$yopwech!pDZ+M;~IV7tq zc-;tP=k197EKSr_!rjoOSOWN=Bqq#Tou`Z~ISgnah+B3HecT7SHQjGkF;!nd7R<2`ctA)RtVo7B_1ah{CA3&px z2xI#}rihNA|3Ou%DKD|wjj3rXK9D-V9sKLv)Lt@KtQNkz+j^_nSsOD0#!Kq-a?-IY zI1lvK!I0M$7^R;&Pk*hL4NeWJ#oHyUc9hPXkygb1>2clA?lle#Llnh*`T)SOQFkZt zg!}lQkm8lF*EqYkBeYZ;)sEC!Ju1t-nr@sPuc*5665IavShg)Lgq_v!d$5es_MrsT zQ3QNFg%tOtRgFXLRx)bh8roQNfe1DchHD4*um zpX$A49V3pN>B>ux^3N9TThau2z~;8qnmY~s;{h7ZUb|`>+@=@0)YH=f%SRG*N7n^A zT|0XI;7hB#B-_P#+>4ij;#?%=R>9pkdAc)2$bnhnOhV-)4T)SUsnT}tx-EkY!4-(O zt9flYNB9ot%1a6|XXpqP=}#ghJE0QJ{7%41;&rSP?$8hAB`7CYl64#p|LZyYVik*( zlT>b27vf{JFizq2g07);I$D=&sXxiQ2yN`%Rdv)U^@cjbC*byi&V!_K#?5&sd$pj9 zfWxdsAdo&ZrR|SU672=uXX9Vu$aZO1L7GJPX>AEjZRsob6h?lRzt?$)4h=;os_(xV z$Bwog_nMoFpH=UM)*RP)s_)r4^wtJRMVDE&N2PB+b{2YUOd+gBnEP;hLHmLwaWJwp zMCwEf7+^j{mTN^!?UMM^==Oqc4|gzqI5W4uUyYgwKphMOl`DHiwZi(!w-lZ3`a4Eh3A?x4 z+ef}X+sAq2`FYDIf3|qXP_blCE7H5lZcno;jM;viO}5uHZJ*`G6~+}y=rGx)m}%%J z)9tA|+IFvGS5LPe!##!k-ej@mHc-?gEH=s*wlB|2&M(*x4(~S|`s;iH2BPQsk`Qj3 zi8q7Q_|vO=uNHss$*gZRyRPgyK@`}{IpDGaUeCTKvn#>mFsi*OmQ>phR^(7ZX_r_& z3;PYLPLGqH)xrp?u3b_Pi&$tX3#mhxPPXSq_sAtA>Mz|H#S&Y|LNcQcxw;H?C<1&* zNF4;c^lV`l+^Se&H3UxeJx?`}F~b5JZMBFrb$ZrnJ=|BWiX}N?uZXR?vY=L&WMYPL zO8b1P!%vSTr-89;qqusy^8JE}xYa?}j$Tl2ri9H#^Dg&EE>64mxX&F>K8{ zPd})EP2F!Wxf@a}5>GfVyhb#0PeMn2w>a{XN$e_9MResQ$o#=b!I$dw@R;GCgfSde@2bGR z_$?|g!Q!f1nC*)t>*&r@@LccNMqb_viYxjnmRLe;yE0oboi$w_xD+O~j+1#^J-vh# z4!UZbj3O{vNL%PJ%X22Ob^Qnp+-DnNfR4BeZdWYfH}7&fl3I<{Q|arYt2UOu$rb1J zDK7y|Yj@|`-ui@sYzdI@$+oQqc78PQJAt6sGp zJY0cw#(n$7dy_bL-STNESI$RUc8*=A_N2PlEr;v3)1A4y#5ScRRO4f?ix?}+rj&i) zzMR{);yO=Dt67MmW5B#ml`!1(20m2PV*hlW;y#)Ct%e;SYt5x;pY4ByJnh0!K+=p7D#6RJ^r@)9Kh~w1*e{Zb5=^2m){giz`WX3RxQzUjYdQka%#y-x~vYp zMeCn9V)uTtlD<=9Z27+}I#J2et}e_|bM=N6_eySxB^E|7KS2~u4{~Tu9f3`mqq{>? z>+!lBpq{v#)_G6B@L^Jqz^J2u6i#}2|va=Po9^+gBe`aN{k6wc=`1u-B4T2(JXOQDdi;) z@U2FIJFCMr(C7uOEaq+>o|(_zx-<8?wWGs5i+AX)W}>5ptlINi?CwWpf4QHKI`_tz zWuh0?_f`*&76#?p7HexHX?$2}9bQebgbs#fj_r?eeF{+=y(tdzX>OeukcIpnaYd1? zSYnYEn<2W$!aO1CZNGF)_kU}yRNce3X;&=CR&yLC-_Um>Gsi*(K`K4A#LW4v?vzasaE};kW;Kw-TNi|Nl z)EA?-+T~bNEdNI--oEDhZnpNz@Ma6=Tzx9TLjwa1!Sw+p*s;i%iK){|ny!9Hcy8Ji zOKc@e9CJ%f2&1cvAFS1dy3V)erq{1I-krJU4W2sosavko*%nJ^W(}$DEw8&*4P)qs z=Ox7YWs5D1h#ElU$pO!=5?)ieGCFxb^-J>U^3eRZE2lQ~f`-NUZJRY~ykEDY+IJlB z@wX&cH3s<;=UvHA*e`^CG+i%fJaH#}jN=sQd$vP=-fLXP;CsJWB!o6br%Syctp?Bh zr+x{m^=@gn72WBG+21{BG|;|?dY>w#&f3)d&Kh4V;zUI34K@il9qk`mdj6$Y=6&&(39;-2VUDzZ&n^JY{XTY zewY^VXY*J>#S3g;Ii{D<$|6(fudiHp@~&EVB32bk7QgyfnF^d-Fe5>BKTU}qbniU% zxZ7OQciU~XLoe0zVL<e`qFLM_8e*dMqK`nc$;^F|?%@mr&W78qv|vYGIf6 zIxa*SjXr5M6iL7#lg_L!M2NX^Hkr@~t{> zSg+GN^heA*;}W%{`8^%28CSb(iY4~%bOeV+lDlKI|IljuiPMYU0j|vwSAr?Jak|}X zg;3kZe?6t@j8Ih?OV>h6&TLBI^VSqg00Ducw@o3+NZpLcxQK*`@LXBeRMCD3Z_=u0 zv{@(zv?n*DMJrct{5_q%rqgXdhU@OGT|%qQYV7{Z6_0@d&6>kdP`^ZM@)pbRHtcNb)1xhjDyJaa<1~5rp{mX zS{YL@C6c!tfJ%@FO$^ZfL|%^rcK8G+me^~AkG8Ml)Ze_@s>RG`(?>f)9OypcUR#PK zwh)qus8T+ZSF5l}bOz9hg`y6HkiB)!Rz!m*?) zmK;gHfe3N`j4iS81LGxTlYh5S;?Gw7O|HLh5_ zbNXg?PvRIg3MXFlqpAt?tl@cgS1iF)<=CJnsS}ZNS%NojJ^#lw%F>~tv&e-8FYM_?}2bl#G5XZnt-%eK4P0R*E^4k70=eLy<8t$!R4b-(?f@zM2cl$`^a zMp-6VDTgzNC7AAf@{iWvPoDDU*)m@B_JP`v+uQ`;Whvb(e!q1oil83(QwO6Q#C}1D z9;|{yFP4Q8I(Tk~)rzFXD_3S;8!fk&mslFqFmZHE)Yjeip~rP+w%%ku zoQ`shd#|DhR$*n$wN;8YSE~L2L3}$H=S>2_C`j4XR|y|KMEnc-aQ#X5koiHSG{4m_ z;Iz!K_NJ->3aXWF>*_Y&BUp5s{-7{kJ(k#&gF)0v(xJz}z981NyndVY(+dh$i;5-i zTJ70#uG%HQ_c7;5NgBk}d**f5aCfG?)vE0h{^qSq6}S$NC5+#eW1gHvGQ-M(wZA<% zXdox(;~F(|d$S0Sw;{S;bq7QYZhq=uTzbu;+ zz(Z`z+SOBl*?NdGt187@j^~>3p2G6e&3?2Dt_x+0CP1=Bwl}H4ZIvEgt3M(>*d@c# zfqsN~rBG*4tb$#rmpuRHah-mDlTEP%zBB~cw6!Bro5ydh9W?AjT*RJXNKM9PD74p>@ALF>3+I zr*=hWw4cz2@rI4M*uN->D3;*Ow2t_lel^7P0q8Y}Dc{{8>dN%}(7|9&;(%W9$!z6K zR+?4fiHh!Y>;4p2{Y}nrX5N&S40|}+ldC63#vx*GAYE=R=`6_+_iSn&OB(V9SQ#}!x=OE_wl*o>UJ zv?2fv*c~)S6)Iv@ukzz866Gb3RVP{3()|W<^T?tOue+T~J9hXs?TRHT z)+u@p0z-(8>Dnwv$Nbd6xOqv&V8Y&`%VSxT#QZ01VV<~>RON>e`(3dFB%%E-%M{cz zKgNL*Sef?Z?CNvP7WWbJ8i#JnDh|9py4YAt+kZP=pKH2S`&@BnFXbgTJHi?1uDStN zfZHwQkA8{NF6R#40bO|sqKWjV$C6hvqO60sx!r=X$@gK^cvnp|4!9ujnr$W_h!Nj| zljDwT*JbRkHp03yL$QR?(9#}Y30}}Z7+|2PMw=xmZ?&D{ZsGO*aU=w2s*PS$QDv(> z>%orYhf`=-Y&(v|Pd$Zt`ds#KRshzQ@}Sd8TLb%U7c82tR6WC4(CsPkY$QAXLM|!6EMaH*jw@4)w_1j=m{I%E*wXGcBt9Tw3-PhCqawn!>Fp`-CgGY|flbp| z-wl$7-LZ9Sp;@YOF3W<#7>xCv4c49|#jAa+iU)3zmV{-E_pc`YUzI<8avD0%mf6vy zdBuI#fjreRYL&ux>rzi|J?^=i-m}?NnrX*p*Bn5}^H9khPScin9c_h~gtw<~_GF?p zY1htj3UW={0{b5wL+8Kc5}vM?x7y?**?uoiKnKtjn{uNU>>i-%;k9Qv6zwV0Q({;a za=d@C+*Ik%qilFpfiI6rs0e8FKlK#q?Y$OEoB9~;k;X*09@5`it+_f;9AQ=aTWuX@ zEjtIUPE@e180f;QsewhIp6$n;!r3LZ(>LVSs_YerLORuf)7kU#T@ps3R>cwv`1Tx_ zemX^q7B4q?&!0W%xS+U}?b2$nr3w>nsQ~mtJz`Gvd6SOVkJqMEv4nv}MhUUFUB*Pe z-LjpMz4z+1X$j+ATheO%F!@TpAeBq^+vF;99x18+ACoYJb)K4HNkiVFS+ctSC?m(c z81u|_jR^lv!1$biFb1Q%XKNsMcRi-QFAJiBj$3E1-U})|>jyF?B%%OoN4_T zl35h97i?v}+sx1Akt?o=+H`m0sEw_PTU}Y{*eQ*(JA2u#aaWhPGqduNg2_6@ggzwY za1H2pQ%N6PJ#}Z|y`bT%SynJDY!o>S9q&cBj1Erit{2pE92Yc|PZr!w`OjpkVue3C zFd*wS%Xcr59%o55#gamR8YqGd;gy-%SZx7a_^mdSDFE8|si$z>WJWsIPV;nEPE1}J zbIkNAs=nRhdWVs5U9lu@yKO4BcXfVu8-;OqF5bZqw{Mg%#;|9tHm~O>8qzO&wMRV? z`<|-Utt6a692eA;m-Lf`0M&8kF3u~HE}jE#r*P(D#_Mj?IE|X#N+?S!U;Wmh%VLD? z8v7U8_1D1&PsF-r_!7mEd|dPPnce6%1!A~S z-EiQobZ2IKlG#0$Kr^y>$*xWh_@JW)Dz`6A&ZYBae}$j)UhnD72*CgZYOluGM@qW) zn~eN*FnqNg?{j%9v5Etu&Anv5h6lt%6tauoP1f+L{1(@;RV-=PFxZM?IjsT>4!ecg zP|mf6(3)$8W64mBGnlP&e-HUB0%y1D70l@SlsnJ2OYoTdsmgEXD5IOc5HVSQvkrUC zd<`13C)-%=Huod>Jrikuph%6jPX`Opm*9aE?p0DBy|ve z%JTjh-8&dPT)*8apVe@#V6;At=i1fhf=*tna$4@&_pLg@x$>>@&v(mcT>>RpazaNb z;=sA&#xp#7wd3&{_u)Jniu3rw>^l6}sE_CH9^Qp^{ngz+YDKiW-S+`SWT7?f6IxaT z3-x2xEDT0Z;d#KV^4mo;T4tZnMtMDjIuGBESmJyf=>_!^N41x?+NsjGMYiAFP}I(4 znjaFiHP6gj_^VXjB$m zKAe?*TsePI@;s}7z)1N3N_@0uXM1EaF-No1?Qb&t-4shQ%?T3ahgZH8Rk5I4tD~cv z&$}NvEn4Nb1C$xyjZ&{wI`kGf(fQvldeGe2tCjekTyHfj&*}8kB5OIUYBNSdUii1E zZfKj~E_U5-wQY$b0>E>N4nq&!a%DJbsurv7$r|31E%}WDOA(<4Y3eXY0&CQ}dr5v{ zNdSyNbG{9$Cg!)=XlRLKOKntj;P{>0qGz*O2`$ZB(nnJVm+4`L zUJaX8Trn$-p;s(vXBc2hwk;GAWshYEyF02qd9|3rTDGlePqItuJZ*))8)pINviFEI zw$f*Ho_gFMU({BA1`!h3S)4zPnvmp3gJ7_h_5NcyY3 zS2Pg=RQ6Mq-wvYjsD2d$q+gB0_<3)Dy~FiAKof*`=)#`C5v==FC=*;rm#ogeiD*x62mKo!1R8_2@r!$#TO|Rd& z&+P+&wSBZLveY`7|RjMI6gY(+A7A z2mP-Sj_Zahmf$Q(M=f{p0}3;_lpr8!y59WRTDU*i6-yAA>`b>yl46#<+Dw+&w(|qr z`Q%sbLp$FesB%6kGkl#b#wGs3v097x|`MJX^h}wugQwNRg04g@R;Mw z#r|m}e81hgo7MVUmf|$(DmAqxbj*t7sPd98+b$frZry#pTbh6x?PCb>fe;5=KZ~7j zy55uWlAgkjvkgm=Eq$>n!Q-yR-g85=_#}w*1@PntL@4-465MkmzF1ox^e67{ugBJ6x)Uv z!k5^iCHiRBuKcQ{xR&j&)Ae%#3gb2`!@3lF5FoM(ye-{tR9AYo6|V9XOWLusup2e& zDBD9>@?7AmHSI}hSoOHxYgH_vdqQR_rl!1y5627_~S)V zcXQ2eG#2cV$=;orKFgnBJ-oW#YG5yr`zuR&LH+ncExW)!_>!XT%#6>36-%J(CNOs+ zzp4Yx5c`MJbPmrJ1GM$Hr$yEs(2fbGT{-DpFU3M8O+>Ur)#v)K$-@}KrdV=>g6LXz z^|=}t_q@`d5%t|A%FNpcqmWwlXS3f4(I{)QhhrKobj0r!C!I~6!X9Z&v4no|WB}I% zaLSlor+Li#UVrlI`w&*lYKkT6=%k?fs!lKPDjZ0MkN0~~7rU2moNS(#tb?us^YP;3 zgp+LPt0k{uS~TYew79~-e7nRJX;uVVEur(at;*Vml&tZ7cSZj`!X5hNvE;DwS3zf4 zQF$O|Zn?Uu#VaHIHxGy_9C$1_ok80VJ*yRiH#u;j|BEYUoK3D+Vqp)oe7|uwT|^_& zg3AuPXk){x#nHozw60jf5D_XN?@}2aZjY6LhbGX&^T`oc7A)G6#jdst;dFkceO4R- zm>$BJpCI;E<%hGNUOjSQo@GhFWh0y#2jLk;4^`NiSu~@XC5-s!O?%S54z*L;j>99B zwKT=zi=J&M!?UFJx9R$MwuQGS4N=!qpc$0Nmz@&l9mBc8ev5s0_6iUbkB5)h8wRJS z4N9G8HR-CY7Va4KPhOI2`;iGGh3B9)>Y#j4AnTL+J9iFoaL%s~ygllt|6rh>Bq4 z-14-0R}Fj8pDJOVtsmLwT-PJ0V9-;}G+;ELS-RJ6J+AqEE8+7dQ%&@%cguo#TNP}{ z%IdDw-iPaA$5nxECCq9Sp4~>mA**9(!OXHAG!DG=<^1j)-jlZy=DRVaZxz)xiSjlY z^tM$~SGn5V*Qm!GqN-v^v*H5I)@;Ia;Uxe`*rJTj@*P3E;?wo1U1Igjw43`=tR0<8 zWPy)T^LZE1fUWl%aPpwEr+X)s_$m`i2cP^cR_tS=Q$%R zxRmtuqG?|*VVC#Tbh`0Cw}Vwa{O%LXEOxr-??|rCmBL-MrdV=YeV#+9Kz8VJ|_`S>WDt~M#ii{nft}B+Hg|(-hxa2zYY(_c?)u-#*cgc>s zJ0`6*8RB%SYuqVzr$%0aTKfxTO{>io=XZNvQmtI%G8^gjODf6a$&}Sqn@zs7v+dv1 z_r_^PG9|6ceu*;kIcWT@?4A~Li~C?d{^TWjRzo2XekR#$NH|e!g#K( zSi#p%VsT#-rrWPTgsh3B-v4#0H{KxOvwky=Z&Hkwp zzWHRaa1WbSZKj4Pxg`&4$>n`}oZLV72h97&alqWzjq>$$n}mrOxT&Me#y*n zAF<@CRr}5Nmw#$g%TjW>_{o!*yBm-F7|xaRTMe`4W4-Pl383_pQ zOt`$&fDGcpjF-{NCr_UXx}EyUeR!@s!ko-on;s}MCJeMzrzAE|0qEFNCC^@+C5dPH zPqpbO>B}VEy-;FB#ocg;9}G9xeeTItBT(x$sYR7*zIZF~?{5 ziX{adgLd5Px}GiJo=ShzGjpkw_8FePRgWdx%9qWMNPVuOKWsHz>f37^Wq3WlOPXQ{ zG@p*eqa#tR!Ur2|-_23BwR&wD<{GuEJqb1x(BDw!X@X_J>~8DI>s1}Y9(S&6<*jBl z2Rq%af}(t~qBm|C^VWIm`GXt?&!}2`tI__zk}7Y3w*XvK%P?Cx+0~!7nO19Ij#yJH zfr^%CaxLj8l#K{?!g<+rpM%=vn4IR8`I}+WL#ic`cus6KFjYt-oa2T zDIMutJd@NfvE6?3ku1tQedRuUPmZvXXY*J>Zw6BSD#FgRZFhM&rs3~RZYiDh6|MuC z=Ow@^sL68kql}KN-O-+zkD`g#DDk>mv83(>c*er6X2J!jGYdzv0RG))61QiR|#uJcg2!Qm&@Xog<$zUG(g346?C1itX|N{VI|K# zbmOGSeA|+6Nq<$iX!f}KQ+F?^a0^Tvtxb_OTtVBkjITJp#H)OG zNk3JK_lqFn26wMLD0Dg09~3^kqDn%K^%Uo17OjRYEjiY5Un8rr;3UJ9e9z`}z%231 zy!vWo+C^q7ij80|v13FH-ROnR?Q_!|)-So$;wgJO5;~i#PWoJ%0*k3Y(gZqbZaPwY z0^Q%UO-uJ11K_Eg3lm9;$g^H;&3nVk_o44_hIgyQbCmH#u*w&7=aCe~yh_gZiMcHc#zsaTZcH~Igp|;kb5m ze$NJSrsF43q|-~m4KS`bnYU+WfX3DLTG4k)*r6dWpl3TX6_N#aE3gmg_{n%}TK(B7 zbm!HaT)MEEOLS;lJG!~5R9s!QDVCs!Y8m)wmy>ym?3&Uccz@<^o-5aIKG_sYAo69l zNKImqK>NY!=z6!_IO$#_ar9Ul9w(9AfCycbncKggVMce|Z^Qi-#|UfeH;*M)vY{*0 z~F zm6v4b0;pmSu}G#n*67D*wRpEg$L|n}dL1qRP#Yql>Ht*F-)bYwedx+dj)o>g_z&Y6 zCIYvPYYxor4pBWEmAmp1(#B&eG39M{Xqq@FHFXTvlYyk73gfxD=OvaS5K5L?%N5Wb zx!Nw(8W^=4s_Q}eRNYvvFvk?`hXW?^G#Cve_Yl744oK{PH$K@^ww`@w%kBo z+b_==wpD18$AL(@#PTw|$r-OYhE4!-aA@prv9_$}t_OH^l_~yOUyiVfJA2Ky8dhw( zcC-Zb+N`7}q5Ydc|ILJ*NA;r*^!Zz7$~Ai!$0?LUeY3xSpYE}QXdLTDPUcBf*FYoM z@&#!Q(44d?xMVlAhXtTgntx?)=8dJn%(0&~{H-^6yil3=<)L04^F#oi`a~xAwQ11xUMX>_b&4 z_*8UzO9vqOsf35W$=|e)?wdSd$&KWtrbcu}ZJ$i_mH(-`li}Q zKQ7zib&Rf9V)6PnALu`?Y&1!+fffp>A4mDaiF=2_`KB|)`ES{ujTGE&02dt2e8ip@ zxa$aJX^)}7_EY_K&Rg%B3NCHo6p-yCmRO~)p80T2<_~im#S%z2iQik*p{Ff#@XC98 z&Lw=wTw&Gwu2=%EyEPQeW#a|i8>&$q(jNOqFDQ(i>B>uBW7=xFCt*Y9rpUKAdD`-S zt7)85?W$%1DYR6)sILqm2;;JkcPqf1mn-KVIhn_**v@jJ8+1(`_Qfj$xx%B( zy?>N*?Hu;&=pIWfC?hVLUVrjG$B}I#*y&BgJ#=^P8P|?hENQo2f#RNKi$rN`(r$-- z-)d2n@Cx^p$0sjg0&GdvcJttdeT`M$L+l?FZRf`wtlv&WRgXCbBe9;2i@1l4rCyJA)xsdFl-vl>DywUdTB+s zniuf_-LCCfA9{>3Cc$vpkLg|Ra&D{`S3XK|#BGW|Afx!_d0HG$5q1QXAKT6wE+ z)KEPh`%9XlJkD0>2;lNzZM8TKPqE~9nUX*jDICDqtxzJ8_ky}ti*et+*0f7z!NJQS zm1LIeRYAdP!+mK-m*&72akUi1lIvf@O)ZS!!jaInXv?Y=M^VnjVfm$^I;(Z`>1Yp5 zIWtcX9|(bG$Kg#^mz{Cl8O4%nWpq92d%9i@OW*c<>b`M4{-!hDQ&22{FO`l7XMOWG zyYZ~zPF5nXhp-x3nBEK8j#pIo1eCS*!RPBiDll_y>*@2iq}k$(_g=g563k8QVdk1H zX=5cnev6i~tLmtl3D0rLFM&z8uNQ*Q zW22BMtW;&;F&(YBQXFHbSkhtT+rQV`{|#NiosgN5Hp?7dQH^k>(3?l)jq=RgK5Vno zXXV^M9=hXbktXVhSBqV{1idyy?cEX(cH~@eorR%C8vi}pj=QNUmY|?^j`x;bec>v% zQokgrO4(O*Mp|5fb-rh_6lz-$U^k4r7o&Nf5}YUJEvkpN;u`yXX|;rH-ac}&Z?%HP zNX0iw)4t_3&JRvQTX7Qbu6-sbN3VWMjP@-|4zCu|@HtL6pB&0dx)t8`QEb;civ%|m zD+}rnDk5Li`&&`<8Lg=D{o~leLgX$xOBFbG2-rB`y2eL!&PokqdTV*BVPs;(X>LPm zmxmjJ@B7-~WKPWk_7C%bdRI#aiMke$7G0eS+xXF}6mKu*T2s7^AH08Vjgt>lY~sAe z_3aw_v*CQQz0ua)m$v`lv(n$QS{FRptw38=O(g$Q={K}GS9QsdVE&SCVZKK)j0LI9qGXTgL#T8!7S|(`&SysWOpsY z(koR^`-)tQJ9T%*(VF|MmMfSKG~A|Y9ILKq&5YHB4RzMmsBzzir1MtD3vhMUv)LX= z_Up5yuj;)PRa7&_d*)fsmR81E6u9Oq)(~E@$Y|-fDyr_vOL6>UD{nQ%8g|xlOWG3j zg^ta3sh+)d@0rh^d@}Fpu1Gms?pPF+5y8g6`^xs*XB$2@?QyP=$C6{hupm6YMr#?{ z?(@T=(s^t0komzSu=TeZ786#UqS*89w{bYo8G8~3U3t|JpFT9jl8nN~B3E8g-LRXq zaRqIMcr{1;{oq`wSTZ|iF^!&`ybU)mXqX(qgK@ro*}n%J98fSoFG<9buoGi<4rfYH`) zWs2qak~QO4HN_J9cd8|;R%omj6mtQKV3~h+{gSOLXvNi>yT=l{xiEfcPtxX8i+v)z z;nRoh%J8C8MQfb18ZR-QF1Fm}M#gaz#J+e`-K&nc@={kUsfeN$*cKWjW=h9K)uSRS zUx3;lkE#aifUa1QkK#A|Cq0N=Dd)iPMtwDBZRHkRZKO|T-Zw5rL)mMyC`p~Drw4!IByNZk1dTfl zRk6u$U*m_WBF* zD&Ml0pZo*rYf3ZV&dcd%CwH*AZun}>keMmYBB?rW>i~5uD7#N)hYB?2aOUo4>KKj| zXOXnGTEj`tLSoHoB7?nvNL$^(-nNFT0>^n&iY0VHP=s68A7|fQ5RMkTxDLkXu5i%f zIJ}`fSdh|qz>>&3sv%xwEJ~gF@B2H*Xd39 zGwb+?YxH-&rK2ZqJ6@V`0H8LZQ@~pb+R9#6yjoN&$@r{T#&5~N2N_qnPDk?TgR41P z2^Q`vE0z?l<)as&9v;GHG$*SI&i z)x;aQ?Aa_^pbmH+sbFTj`D^Ie_AA% z_x0H&GjiZ;PCi9jzCWgD)lu&smjg|TSE>X(>_jXilG4_B>)xO2 zGtQ7{ceUd*RA5%5J2$;Xc2>ruau8+uZrgcOD?ByoZ#AHOmQT`@7xEiwlVzFNZ&QX7 zsygE6vGG>3yQQ7nv8g*#VXM?rbqHbARZ)!=M%msvfYm@+EbL;c+`{t_Zm?weYU&&= z?e=-V4lC#0I^aATjd-}ULtX5Q06@X#U1blXZ1sZT_1k`XvM+dp3)a-zfc3PVP*`&D z>aF?P*x@&M>wt3tn&ryrcm+7ui1MaPuz2rKxWn%nal}W~YRsS61iSi>bOKhMX$jFd z(+6J?MtrpLzT2=JIGHyLZ;&&5w!O2L-#A6{fK}qW{Q6dFyVrFv2|{abd?(PoNmKb` zm0pmQIKLsR&Mqlzb zcXyv;hVQqgSaRI!`ApX`=_-m090mGJ;=j%8_>vz~H|Be`W}CsT%`zM&z;>*6JGXYjOy*yj<53YbVT{5Lq zJ%3=zm$#Z-+=LSQL~{1R_hf*mYz}nq9!q*0&7!=-g7Uy;Yq$2cyM4EwKq$L6!g6%< zild{uV#!EzS#Fh6(Uw5m-%>t%K4&8|`3dj1dvRA@l9_!Cn(^8tho8w1JjqdeJJ)FE zxK@N>NeAX_PlL?yt8pNQ9Tg0*wxCTa=c?tWI-uSx_;}mh#O?Mc8>&loEIxhZtr^wc zafO4W??%mniOig8$5*5Vpj*plJ=^}R4q!DT{p<*>a$%>J6l#$Sj?Q=F(7mD> z(ad}#KLG%}4>w=44jg{5^Q)3cy;eDYbwJC}T)Evp4qUixa8Jqe5*oe8UoW2t_vy%i zxC(cFtIbs=7;h^VUs_P?OsvjaPB%_IUIxE@x0{)tXCvVPZc*J$)m|&T?dtf+d{frD z+Kg7hH#5iOz0j#cHEU|r0EzHGPKL~5r@PI8o&G5^=h-$g%9&1(YkVLwa+qAg^zJG( zuwBCLAU88_Cs)Q}h#jaK$A0smshmGTQ^R{fBdm0GGxK&^JGLni)@g5-&M7bT#;|CYthkP0Q!J?{D}(V)E+@W`^|S{Z zpHA;b0K@v+*9MU~rZ=kmEIbXPO#ySC#6&se#=SFc|lxrdCNgI|q8m{c81a$FM7wU|Vb%NQX?Q8fWuAsW)8sE0_qwZUoL$4NE?u!?f^4!P-h#e++ocATC2!{kEcrkq;{H=+ zej?ZD@=nW_hsr0UmBDl^AGW+k`9~l)nwg*ThC5latRyKhrsinJjbXcCNcYux6kpP( z-)~GGtcYqt>R7ggbup^Mj?@{-C*x?AuDk>>=fhO5s;F=Zfub{$+udbPn{$qKdb?r? z(;|$DM-g7RGkVUnrH~OKA zeVouCKX(h0scVv%u18@h;w{P)2Qp~5^K^6N<6gXu>PyepBkffASfN)t@(!53fZO|Q z@5gAad_1lbXeZkb^G^a8sz*Y;#Il9%^MF}@-;+02?l%p$>!i^E72~=vwqfG!EfnYF z&v-ZV=E~>UuqCjhD_?QfgA0N=OD|~1OVT!xrhPNa5xco^zkk(Xmswq}egpHgIS?eU zt`(8|4u~uGe9ACAi2hV z5>jX9cxJ9xGT@9*o^|zJ7tUhv8QuMAWzSx77}MK^zMH)?I3iZRDd1PDrAj$AGWrYn z35eIGO|j(28&_I1j%MKqVCH_ou1D=MtFOFryrNoqHr&`|+gGCY4<=yeq2OrIHS2J^ z@{A*h+kU5;=D6*MRi`@i9aH87E66d1>BDY~`*kRmSWrZ>z`n-NWrkUYRg5$;UiO;0 zI=yjU+McxNUgwU5x|C@m6iRr#curKFjZ2 z-)#bMEhMjw=i0V+PA%;2AWN(DII3N-q~Sn5O1C{O2*gHQ!Op-Q?+#FUaDEJD=2Oph zAnXIip44S$rmM#=-?1}Q7>tXIi|5Kb8@gEdEtbzD6FvkwsYApP?m+MKMsu#Nyo7mW zBRQR)d3UqR&ThH-wP1AY%#LQ}Bl&r=4167dxT{}6hKFSn10JuaE*$PYTO9E*?jL7p z0|d$EI2Y49@R=y$bqL1D+%z1yZuWZoyVC*C17B2aT9H}HWYG$pC94j&0yXjM^?0{3 zG%6K)X3gKIvf4r@)#m|AC*X(7eCthOZ3jAZRB1HY+dagwZ|~LB_u>jZH+yBZI;q;yv4r<4c;}%h1i!cSTuV*-sE<5TUMOA6T&81YYpRDHSKp6uVcquIoo)v<#a69q2kM} z0H|69IH0$o%%#X>HyHxWWy;sc zicfohHNcg<3~viVzxIz9jI$aNPS~Dop*2C-GVsO(Q5l~1l^;+#n!TRyW=W&nrFcxg z78)WLwkKyzj@I-#VCNrIZdh%!WP$RC%xJn!9u80VGY?o|$mqvt_Bu{TKllziTP`p# zVO5ttn|cbntM1+-{M~x>IC)%{Pqci`)(BKUQyo9Kgs|ExjIin+OET4xC6Gya3bW!p zYw3E~4wn1i6iT>1+4Ux~6>A$*kmxYYs>jpn8pFGx(~+pN|J3O{_nYm0dy#g*xu*pb zP5W|rEYDu|2dD5`r*~XLW8Nq2mwI}~?G2UGZ-26S?=|dJ&^?xb?b|4o$|)98BP*u3 z;{?zCryCl^mv~;%xXBJT`JL{4*r%93G|!cXKii1rTtj&Yl5GWl-!|W~EmT=>T*K*tFS^ag1;#)z6#d@1fgN0Xmvb9{+Cpw_tz)2K{@G zieb~j=*ZvX3y$Z<=y$vMJ{*=9T@jC3s@GQT*)j(>|4Z1=h zS7Zh~I!hnQl5d~L96zZ_-F))6PQ!C!Q0XnSMgx%xu6bVKP7G_twOPhnt&xDA?9qod z7C9|O=RK6+?d6@`)x)bPmYk;RkpOmwsAS&|c1hJ=;2$-x_LC0%dA5W1Sc@s?>jjah zXU4?ayK1{BSN@?|+*)nYjb|R9lm`UTKn4zhh!qaud5_BKikycZ#T+qg_Jkzc>&y|;V48!=zzWmvsh%NiOyVn*(kzs$0-anaw zRy%?jKjf451XzlXw_@=sza3Y5M8SNu=5I2r3_p_Z64tX^*?EhLeg+KJ%M-r&q+@zZ zxUYOOyjzI!pC8q#R|g=_h~!6Un!mx(e?7brcZk||wSz-O z@+x`8GrW`XkO0w-sUoUVOhNUl%e&as@g+a3mfy2M6&V!*a(Xxg%hHjew~W$zcwd+I zxEff|cf+_6slTr7OvVy-B|sm-U}Wzr=N#Q7H^VzaQv7jNMUhU|3mQVl|FDXv{Leff zS}ooT?+=^|g9IG$yWbeT0oSz0Rey3wEoG0eV%E*@PWjYPUP1;-0Ux;21pGbR?(TrV zf5n;K4DVjlOvCIez2?a27{V=Nn&S@k&2^sQ{mJ>>WWysZ11OX!rp0KINmO-ocf0%5 z-f`r>de26FH@LHg@5zE-9DO{wOza`#z@A~{+_pV(S-#U@S9jO4#T~sNwBw$H%FON2 z!ZYEd)6Kl*7_F=G)cZOLjm4Ey3 z5qKltIqY8t1MLQcvOSo6yJ|W7Y|2Y;WwjLNIF;#5HuN^yDp{>tgTw$Dy*WVu9pO=joy%x@{aJK6RZ>*E63jeg~wx z8htK{Q|N090n;i{nQb(}rP1f*t zYvny#J2a-fI9<9rI{@2WyKA+(+U3r1L}S%zpoQTUy@t(SQ5^H`ulGD2cQzVJJ>_Mv4p);2b5Xfpq@gH@5%9= zZDz*hi4lNj3d5pwf`{t!fc}{WM5FS}x$b$}OulCQhY)640h1C%F>?oFJ~p(3sNkx4Tx=5 zt+U8y#o{p_ywyH>uf_Ld{OBn^e~H7JI&ZKn@CV82s@WGz1Z8k8id=2|9+kUd31GX#OziXo?~LlaL;F7z zVP|sjXDc<_!&6>TNX#jF-C(!lR6c2Jq|e;cyK3Q{!cZ)+kJc>1qqY2Q94oA?1i??m zMIy@w8Mne6jCB8CmtdXRTgxIkFxFXzU!@yo6?wN>P8+WB^IeSutL<`Tea?Tg>%cN0 zROxiyTGn^FWYBOHbXLnq^d5aU#gekFSxEWtahl(zEzHL`S4u zE_C>nz5b>bbmOE2#SMh<9_7gfpygJzMF**6tfl_P-P0A zyrhMB9f~CxNDf?p`r!u@{72eo|zJRZF;@! ze#}dT@{(btTE?unS0z~ZHQE0!O=(!JNxP(mv1&IjIo=3XwfAh6^D}_6-@aU#f?Fjc-TT44IubRG=jv~@ZP!~L35OuXHJTfmX$+^F1z~l!S`eiPuII*3EEKuBc-h@2zUn?A0;PWEj!{P zj?^jICAJ$7tJXjYPNroI8B%8d@6TKK+3I_?*--hzn^SLcaJDN`2Jg;fXA-QvGz-pSm;m1ROhw0R>2^ zQb16t43e`EEJKK%XhpJUco8PZlq{lO}veUY65owiim_HTZRXSLOP0<4^iw8xl; zH9PeL81+khZrbB0r1n;u6`7gib@kpPTv~i^$7cXIybc)Q8s}yT#~s9KH@ncbtmP=_ zP)lj#D^ICfvOS*yB$_Fddv2la=Fx;#MsFD_py?i(Z7eM`gqg;B+?mKXEd=+J4Vgj)B*(3{Ug7W|wJ0 z0q}4JpWU6G?s(5Uy=Q}Bv6Cg^TYeqbkko>rnGcfw!B2+!%K5D}uynT=1;pv^K`fFr zMk_SGbiZwXlW|XrqCH97O*?)|@fb%$W|=*e|MtcSf45%WY7Kt}a7;cTD#(|>*-G`3 zz4~OOho7zKyFuMec)Y8F(UB^`3@~+nwojEG=fCy08hY3j5z>cd!4T`%6y}ybNniC? z67J#k@lHUujfY87@4`IoP31N)C~2=+EXC0*@tjMsWTPo~I4aeX{%sc?*Q@6x#dXz6 zn32{MOYCr;0BlLutEiZ&WS~gRr9`XG18O{1RxGhvhCs#Ltyw{VP41OUaPz1fX8+Xt$Eg<4jjm&AO1tcNH(&yHLf_dv3G-F=)Gus!d)UHtP49DUjyu(KmRrcWPc zJTDpVO&0rLRt4LQ@@b*juEBi$2z~!$3jL#09q!J|_iPq!t(qq-@m*rys~`A`&pN8B zIoELHx_9?+K3Vo#VJJ4i;0T?U*d*D;+&l|v@qWpEtMyLuOD?ouUc$hLJ0K;mI*#hv zi^}0TAn8rA&n-3X*K+(c?K>GCTw32a)$i`weyj4YUq>kxx$L4=R}JeQEJ|vgpBtzA zFK(Qo6JVFy#A~)EIWcq$wQ=?SAR0e!G9HyZmMq){sq)vW7CC~pMV4(=uiqSD^%~mI zyZd;Nth|<8(q(q9IxG=C>b9RM-x)Gb06%(npFPQrT*vQIRYyYPyf)xt?>4RJbK`_} z$#|t; zKGb`-_Biqa>KK*{DcZ`nJU+>TPoRHuE4X_S{Xm3|oK0R)*r7F(UG=^?m$rsgN{3>J z6=tLVF}KutYP{XOa`u6QV=!tQgVF9EhuLJWauN20YM)qh#ieTInjMozo2;8l>7)^v{1N6h*EUW)j}p z^yp$!aoYnT75(>YK=na$jpptkZR)$V^;;!;wAx955TU5~ImKGy(9f&g-@4m-c=7u! zYnRZ&##*js4Y%$0p%Ava=Oxu^(|8A?m$yr((iok>TzQd;VsXxLbz~oJ@q-=Z(96K#^*R)vBcgO zD)cjV$17V|e5JV^KUsXX_(&Jg+qB)!uy~HtG=WB2Kb5tMJA38g>U(AXcAK6(X?d&N zk9#C%%3I}V1r}l+UM)I9rpCEOiY1mJ;CY+4W?sh-VjpC?s`gN>o+;Gv6HoZY5?V2q z8(W}yNK{Mky4~FeDdAOzDymn2L~qj@CoK&EFWHLEgf}=m5)jAXeV7(ul`aHZ^96w^!j{fAy z<{&}~RE|>7svU!9y~*8GzwLNmdA-&88g{e~*Fn#QOESIR`N=1f_kzNw``&L?T^4cI z)-80sJ&9sn8Dsn-vCux#hwynz@4JPDNEj z^MDPh3f)9^_WB1E5w573&Ko|n_6us0-m4|*K-b7=9XWUSDbegbTd zCbmvqKJD|mJ02(dc&oMJ;l)H&(}!J-C^3nNtIK|S3gNtD>P=e7jpOc^0wpveWG}d; zDROLh06FDoyu_$+( zd2@tSI13s{-;KexU8nd6ycrd4s`%b!=XEsiPqrUti$_^-L6ThMb|5dt&`NRKdFt4o z2I&XW8}5eAyPAcm-jB8Dz6#^4hE#bJPJ}LlA)Bk?;(U!Hi zY<~g2-@K==f4p(dn`|B2w}let(pn;m&L8!$;^YU17stJ(_iUKpt_u2D&HsWA^l@q% zpSoMm*5j&)`8^vQL!@O<@&9{}Wfu-^&Es~*FUD{>>hH(?ACp84kM_ zX7b+a|E7z5Z=9nDdDMDZ-CGke%+V%CVto5tpK9?Zj@Ws&Sz$di@-9CC6~nn?Ip0SK z#&hNR+l_Nh07Uh1YC~l~Sgcqa=^r!8e>56@yK#<^XGOl@%B8pfe>T-WwQOWvWUsgYo=dyUgPpKQPB(BJb$ z7jnQFRKPD3JSez-6th|>9!sKkz)1dV16M8EgPM0|XcrdF_L&;}b)J@Ic;Q~qy#ucH z*hbCP-li1Bac<2slX-o3i_XW1^Sjqu%@Ps{&y}61jtQ;>m{FF`1E$Y}XB-!_wOVPM zw)G_i146aaU3>RHt(>dmIIkn!)kyl$@w0@rBx&kothP3Tq^GS3vBbaIZ!@Z^cA2OY znarv~j~CYB57$H;j`|y6&)r_$v*B=JNmm_9{y42bnE@K=7>wc1HdeUvRNrbA(h-U{ zIE+`n(PY3-=+h0Y?lu>n2i!a0>KNKpdfJi76i8+}BEs)SZJ!iZ zUh2qzTRChIQ8TKy#QE_j-@daNDL?4QHq?%{O=FdT6(VDLf6||=#8;d8ZnoVJ*=Vc2 zzA~s?xJ}gs9Z=v@Ub23hQC%Ca0nK6d(w_etbWDrXWi-baepNTZ{gSR&V%I28P^|i1 zv4&o#CFU!;OzJno8)40Xk=|<5+#IgCg^s40vI?JBv3J#0|2>x6sC*8WgT_ma%(8jj}W8D4kw^uB-V1zpHdsrC3R>V7M9 zqdKKl``o5FZ!`bK5BO{T6E&DNxaK!I2egp0?S|)EBaYZ_dN!t{mI5XBS+Qld|31O+TXL`@?&Yq`WqzP%zO;UKjWVn)d$b@TV{R-z!=!0xA$>%X`L~6+KwLk z=MD&ex2e^D09o+ZL$_&TwvK(kbbLuIjvUCpMdd5m#>BK!EPma1@UO=-L?^(ba*rb# zw{}UP_1`BY+ncOVa#-!(>hQbUCz&nG>lo=hTdN#w+wonBBE%58?<{|Cc5C-;Xb)#W zH%^|I)O(>vZ)u5Ka2FiOV*vDFTs!+`{l=r(w_VX`wpRac?WnAQoRMLO1v7P?R`?FM zaq={^AhKd8@o{3nxOH~asXqt)#S%+Pe#>52%{B*fQ@e3w=WC&bUM!kHKF3*#$|H=5 zxN-7QM(pCOOk|6+S^7wD6f7~)c^h6)jkpGJ(`pGYG}O}k;KF1G0J_o_RWt66(8ol|O#-B58m4BATJhqx=M5xL9VrmGIvj$1}Y6dD}W~ zs1Q{PA6{fL)!c|xw@=;eDmOEn1r5cLZpjCu20IACbFD&V1W(xGq~pwc9MPEWA4mSt zGLkXU_L9C^GB7tpLPw%HE-1(Il6+S?BB7Sq*JI-H_GDZ378~S}m;4?8hW=PdeLYO+037(O-npZ+j?G6^{_7XiClM29t)!d`df3;qvz8x9P-we&jVi5HyFA4HN~{0 zGJ4|uRl?)wLGELorZ@TJ2mBPd?wiE>>gplMwajWaD~>IExaL4xj%xpn0eVgVZ*roq z;prUCrp1y6BqQ`}+wXulUOC@C&fx+}HF_5vrUGxV<2=VlcgEGzQ#>>OTaq@Don-2_ zEZ=pS*y&7aHKi>{n5UBB6S1miW4b*n%~f?UAU0W|K;82qSJynC^f*qTz18djsE9Sd z_k62Oi!LB!SLB)9QnQ8voS@qePU;P z$i4Ug380sIRPJ8C^?0tl-?I%^{Z{v;wBL07uxl-Dw(QyK^onYRtBxB>&YNuG*lnTa z_Rbs41WUTEFTtCxdn}1_GXMVg&+#O*3VUmC&z09RNb^!Zn%^HC!+0#IceNYv=K_4a zyhEStKV|cH4{y3wM4YvCPxoQlS=BLNk9TJySRsrOQ**VHGIX1kI8Nc7?s9G%e6|{> zF7e+mUp~+X*Jk;~lDMkW(02ojjWEjd#~}-{N3kQeEZ4|9I*kG18MyJp3TZq zz>+{r#18;IW+|nWygJ=J@5T!Cr}M_M;gxOIv?WsWMdfv*+6QD|$+aY9ul&xR&Re}5 zjD#m`YO3ErWZ2c+BwWfNb4AD=XOpk@Y`uWKKvl`| zvpwV%UN=Ha$X7cmVmbF=h7lk4ys?_y#El_vcKOF{=ei~6t)C8t=Or_aLTdL9sN)Mu z_wgqma!$7;4aYj|!|(Q8vUd-=&GolhKk7u-fe05ga9?be_${BVe>1#z{Wjie_E2`` zRO}d(m!L&>X~Kw+p^yQaelyj&jzutA03wESLd;LPwUL}?j4YQCY;Mp6S4ay z7nbfQj0+cppFD52Y&SG^*Rt}1X54;nvf36wu&U-NBHucLoMGGE`&_Q~I>Nd$cTb)- zxeoOP2*fK5izQnqZhU&LC8@?KDc&(0_m7*q(Vky3y*;^+ao&e~@v07tzFrn|5yYWA zIp1o``7$CKS?vmZ^$>_`eR))NHLw|1aa(sadU${dnWm@qcLKotSrRmxi=UOMI{@(4 zPrKwG8tr0(Z&$0Ur^939wocCPUhdbiew&;2>+-(fs3Zn_Z#7Wmpq{3h_IbI6)r$KE z%=-tk#XT=8QhjAx-3no=1DZ1PdNmra!6IHuQX zup-xMYSBVW!@lQ~kmBxgh_ah6oOA8F+9{*yTutl{v?mFZ zb|_kQR78Hf{Cw!kKfK9X(vz}{+8n}OhHc7*(NX*KC;jgJ%_+9un+uD|Wl{G7fv^hh z)c8ZP9|v2OPnmL>efDGY+0Jay4nR739)1FPnpStTT?M*Y?vuIZZ*OuOh4BgC0`9H~ g8X)EiBv2dDR~~X=$frsBKUwYn1sC+4k5)zl0G;5XPyhe` literal 0 HcmV?d00001 diff --git a/data/GSM-2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt b/data/GSM-2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt new file mode 100644 index 0000000..f9e9e18 --- /dev/null +++ b/data/GSM-2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt @@ -0,0 +1,4192 @@ +FIRST GSM-2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt SHM CNES / GRGS 20230619 +EARTH 0.3986004415E+15 0.6378136460E+07 +SHM 90 90 1.00 fully normalized exclusive permanent tide (Tide free) +CMMNT Parameter uncertainties: calibrated (Sigma calibration factor = 1.00) +CMMNT SH normalization: fully normalized +CMMNT Tide convention: exclusive permanent tide (Tide free) +GRCOF2 0 0 0.100000000000E+01 0.000000000000E+00 0.0000E+00 0.0000E+00 20230101.0000 20230201.0000 ynnn +GRCOF2 1 0 0.321662058100E-09 0.000000000000E+00 0.0000E+00 0.0000E+00 20230101.0000 20230201.0000 ynnn +GRCOF2 1 1 0.662204943658E-10 0.571947877948E-09 0.0000E+00 0.0000E+00 20230101.0000 20230201.0000 yynn +GRCOF2 2 0 -.484165560920E-03 0.000000000000E+00 0.0000E+00 0.0000E+00 20230101.0000 20230201.0000 ynnn +GRCOF2 2 1 -.533902200228E-09 0.151726342601E-08 0.0000E+00 0.0000E+00 20230101.0000 20230201.0000 yynn +GRCOF2 2 2 0.243945510192E-05 -.140036365792E-05 0.0000E+00 0.0000E+00 20230101.0000 20230201.0000 yynn +GRCOF2 3 0 0.957146717919E-06 0.000000000000E+00 1.5441E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 3 1 0.203034628457E-05 0.248285171820E-06 2.9844E-13 2.8207E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 3 2 0.904715043747E-06 -.619088862447E-06 2.7454E-14 3.2407E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 3 3 0.721362251719E-06 0.141447605563E-05 2.2578E-14 2.1907E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 4 0 0.539946215617E-06 0.000000000000E+00 1.7957E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 4 1 -.536340491273E-06 -.473607387974E-06 1.9323E-13 2.0208E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 4 2 0.350456236701E-06 0.662446473915E-06 2.7931E-13 2.7487E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 4 3 0.990865757720E-06 -.200880098265E-06 1.3446E-13 1.3114E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 4 4 -.188520922751E-06 0.308855177261E-06 7.5320E-14 7.3479E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 5 0 0.685560298395E-07 0.000000000000E+00 1.4252E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 5 1 -.628798384366E-07 -.941483615944E-07 1.5279E-13 1.5244E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 5 2 0.651936361257E-06 -.323324262888E-06 2.0527E-13 2.0491E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 5 3 -.451819611751E-06 -.214904057654E-06 1.4676E-13 1.4692E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 5 4 -.295293154000E-06 0.498720191718E-07 1.1564E-13 1.1511E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 5 5 0.174787529796E-06 -.669360808515E-06 4.7235E-14 4.6864E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 6 0 -.150082238155E-06 0.000000000000E+00 9.8242E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 6 1 -.760512693547E-07 0.265451026061E-07 1.3097E-13 1.2903E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 6 2 0.486129642687E-07 -.373691920799E-06 1.6992E-13 1.7002E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 6 3 0.572700623667E-07 0.909302738880E-08 1.9338E-13 1.9814E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 6 4 -.859551800649E-07 -.471428516388E-06 2.5594E-13 2.5511E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 6 5 -.267131706784E-06 -.536489246679E-06 1.4128E-13 1.4129E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 6 6 0.947348388267E-08 -.237354403098E-06 5.1793E-14 5.0971E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 7 0 0.904156748854E-07 0.000000000000E+00 1.0959E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 7 1 0.280855684179E-06 0.952875634331E-07 1.1624E-13 1.1550E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 7 2 0.330312144891E-06 0.931442953770E-07 1.4692E-13 1.4659E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 7 3 0.250466489644E-06 -.216997632114E-06 1.3471E-13 1.3524E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 7 4 -.274932840720E-06 -.124014834153E-06 1.9603E-13 1.9714E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 7 5 0.168134900352E-08 0.179043825622E-07 1.9839E-13 1.9841E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 7 6 -.358798676915E-06 0.151781459048E-06 1.5471E-13 1.5501E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 7 7 0.153222472596E-08 0.241260941922E-07 5.6699E-14 5.6647E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 8 0 0.494677947294E-07 0.000000000000E+00 9.8679E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 8 1 0.230237448951E-07 0.588944879123E-07 1.0627E-13 1.0626E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 2 0.800566029257E-07 0.653769053954E-07 1.3133E-13 1.3135E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 3 -.193249794480E-07 -.858317693164E-07 1.6815E-13 1.6964E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 4 -.244266208619E-06 0.698316874503E-07 1.9329E-13 1.9189E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 5 -.256797951470E-07 0.891882990140E-07 1.6949E-13 1.6899E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 6 -.659724049524E-07 0.308947787646E-06 2.0410E-13 2.0415E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 7 0.672396914336E-07 0.748612817191E-07 1.4622E-13 1.4616E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 8 8 -.124025630003E-06 0.120511725114E-06 5.8765E-14 5.9756E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 9 0 0.280310751531E-07 0.000000000000E+00 9.6025E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 9 1 0.142126622586E-06 0.214922765332E-07 1.0045E-13 1.0011E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 2 0.213991020754E-07 -.315845663184E-07 1.2035E-13 1.2037E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 3 -.160600365507E-06 -.741587508688E-07 1.2581E-13 1.2619E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 4 -.925573167295E-08 0.199074478405E-07 1.8019E-13 1.8080E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 5 -.163104448581E-07 -.540438678914E-07 1.3663E-13 1.3670E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 6 0.627632923966E-07 0.222971519664E-06 1.7396E-13 1.7369E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 7 -.118001275279E-06 -.969103838013E-07 2.0569E-13 2.0544E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 8 0.188117573029E-06 -.300125798192E-08 1.5421E-13 1.5421E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 9 9 -.475649970107E-07 0.968440905139E-07 6.2094E-14 6.2269E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 10 0 0.533967171316E-07 0.000000000000E+00 8.6876E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 10 1 0.837025907505E-07 -.131111446802E-06 9.5831E-14 9.5720E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 10 2 -.938976484147E-07 -.512249337272E-07 1.1256E-13 1.1249E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 3 -.692520841965E-08 -.154048372354E-06 1.4627E-13 1.4677E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 4 -.843915283098E-07 -.790356948268E-07 1.6108E-13 1.6056E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 5 -.492667844192E-07 -.506377681349E-07 1.5888E-13 1.5879E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 6 -.375969257836E-07 -.797603422879E-07 1.4175E-13 1.4183E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 7 0.822518853531E-08 -.305540187117E-08 1.7247E-13 1.7218E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 8 0.405854995470E-07 -.917014941895E-07 2.0911E-13 2.0880E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 9 0.125385180564E-06 -.379396976198E-07 1.5217E-13 1.5216E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 10 10 0.100426730038E-06 -.238577992983E-07 6.3915E-14 6.2797E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 11 0 -.507499610513E-07 0.000000000000E+00 9.0207E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 11 1 0.156148300961E-07 -.270950619356E-07 9.2991E-14 9.2774E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 11 2 0.201055034605E-07 -.989294119657E-07 1.0711E-13 1.0712E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 3 -.305534895769E-07 -.148793610333E-06 1.1746E-13 1.1777E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 4 -.378904248673E-07 -.637742060537E-07 1.6021E-13 1.6047E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 5 0.374342491559E-07 0.495507507367E-07 1.2777E-13 1.2765E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 6 -.157508786379E-08 0.342622512238E-07 1.6902E-13 1.6895E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 7 0.464660360765E-08 -.898322227864E-07 1.4338E-13 1.4308E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 8 -.632341408746E-08 0.245529674783E-07 1.7457E-13 1.7405E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 9 -.310773669863E-07 0.420577446477E-07 2.0975E-13 2.0964E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 10 -.522428094472E-07 -.184185712263E-07 1.5711E-13 1.5738E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 11 11 0.462373315376E-07 -.696686697929E-07 6.5277E-14 6.6495E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 12 0 0.364834941348E-07 0.000000000000E+00 8.7006E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 12 1 -.535861549994E-07 -.431831685026E-07 9.1159E-14 9.0940E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 12 2 0.143421035976E-07 0.310912998643E-07 1.0297E-13 1.0299E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 3 0.397195087106E-07 0.250849001400E-07 1.3078E-13 1.3119E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 4 -.676748666165E-07 0.383441168417E-08 1.4325E-13 1.4297E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 5 0.308579325401E-07 0.755762704456E-08 1.4400E-13 1.4399E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 6 0.314035278441E-08 0.389796137750E-07 1.3168E-13 1.3164E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 7 -.190703084565E-07 0.357075642414E-07 1.6446E-13 1.6455E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 8 -.258950854258E-07 0.169388886289E-07 1.4715E-13 1.4698E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 9 0.419057508428E-07 0.249560384502E-07 1.7978E-13 1.7933E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 10 -.619179921315E-08 0.309308447485E-07 2.1273E-13 2.1262E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 11 0.113757944412E-07 -.637929435361E-08 1.5463E-13 1.5430E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 12 12 -.241764235429E-08 -.111061048863E-07 6.4163E-14 6.5455E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 13 0 0.417174987460E-07 0.000000000000E+00 8.7758E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 13 1 -.514361290722E-07 0.386728397025E-07 9.0144E-14 8.9915E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 13 2 0.552966514955E-07 -.626440094958E-07 1.0049E-13 1.0052E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 3 -.215359329280E-07 0.976714244942E-07 1.1185E-13 1.1216E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 4 -.359349973163E-08 -.117696069323E-07 1.4521E-13 1.4540E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 5 0.583608130671E-07 0.671972026680E-07 1.2733E-13 1.2740E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 6 -.350468585690E-07 -.628351753029E-08 1.5452E-13 1.5450E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 7 0.300404982753E-08 -.732966463699E-08 1.3440E-13 1.3439E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 8 -.100676397242E-07 -.984145914940E-08 1.6946E-13 1.6915E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 9 0.247586247009E-07 0.458761163032E-07 1.4918E-13 1.4900E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 10 0.411070912951E-07 -.368597759272E-07 1.8202E-13 1.8211E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 11 -.445186285706E-07 -.484537438894E-08 2.1454E-13 2.1453E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 12 -.313036970937E-07 0.879467357445E-07 1.5877E-13 1.5877E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 13 13 -.611902038781E-07 0.681585702459E-07 7.5623E-14 7.7923E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 14 0 -.226284350267E-07 0.000000000000E+00 8.6764E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 14 1 -.187557042589E-07 0.288637641723E-07 8.9670E-14 8.9422E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 14 2 -.358749166967E-07 -.408530503521E-08 9.8721E-14 9.8732E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 14 3 0.365843677714E-07 0.196937121262E-07 1.2108E-13 1.2136E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 4 0.163860038522E-08 -.226677490113E-07 1.3277E-13 1.3267E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 5 0.292910323802E-07 -.168030182214E-07 1.3311E-13 1.3318E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 6 -.190766545107E-07 0.244193608362E-08 1.3269E-13 1.3269E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 7 0.376120631097E-07 -.394385249571E-08 1.4766E-13 1.4781E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 8 -.349514528684E-07 -.154459965544E-07 1.4048E-13 1.4021E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 9 0.319548207781E-07 0.284749375035E-07 1.7340E-13 1.7324E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 10 0.387924201956E-07 -.130796652394E-08 1.5236E-13 1.5229E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 11 0.156572314675E-07 -.390427321517E-07 1.8907E-13 1.8910E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 12 0.846218956303E-08 -.311311242072E-07 2.1711E-13 2.1734E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 13 0.322405141403E-07 0.451530344162E-07 1.5546E-13 1.5452E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 14 14 -.518677401016E-07 -.480955050397E-08 2.7491E-13 3.0140E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 0 0.216625783242E-08 0.000000000000E+00 8.7934E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 15 1 0.942963070331E-08 0.104610631672E-07 8.9795E-14 8.9512E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 15 2 -.205533048959E-07 -.302898190112E-07 9.7940E-14 9.7950E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 15 3 0.534018638540E-07 0.176246110905E-07 1.0883E-13 1.0907E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 4 -.401432148831E-07 0.678268943655E-08 1.3534E-13 1.3550E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 5 0.122500987930E-07 0.760349717569E-08 1.2750E-13 1.2764E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 6 0.328542329218E-07 -.364777127187E-07 1.4263E-13 1.4269E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 7 0.596529199734E-07 0.506210151766E-08 1.3771E-13 1.3784E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 8 -.321138057290E-07 0.221871574486E-07 1.5239E-13 1.5235E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 9 0.133059477214E-07 0.379931557372E-07 1.4439E-13 1.4441E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 10 0.102745089582E-07 0.146874143790E-07 1.7600E-13 1.7583E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 11 -.129654514851E-08 0.185189255924E-07 1.5531E-13 1.5542E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 12 -.324160175197E-07 0.156119701789E-07 1.9284E-13 1.9280E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 13 -.283739582924E-07 -.457826877459E-08 2.1915E-13 2.1930E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 14 0.520755965658E-08 -.244059428683E-07 2.0683E-13 2.0497E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 15 15 -.190289079659E-07 -.470215719187E-08 7.2412E-14 7.3224E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 16 0 -.469173798630E-08 0.000000000000E+00 8.7941E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 16 1 0.262143514279E-07 0.333797444473E-07 9.0418E-14 9.0146E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 16 2 -.244818370185E-07 0.279830422439E-07 9.7665E-14 9.7670E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 16 3 -.338794203908E-07 -.213421839923E-07 1.1606E-13 1.1629E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 4 0.408560727884E-07 0.479880865442E-07 1.2698E-13 1.2696E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 5 -.121362302709E-07 -.344098091443E-08 1.2667E-13 1.2678E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 6 0.138637444171E-07 -.355982035741E-07 1.3429E-13 1.3423E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 7 -.806628515244E-08 -.867454453826E-08 1.3610E-13 1.3621E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 8 -.212211445318E-07 0.542231597911E-08 1.4467E-13 1.4453E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 9 -.224021557377E-07 -.396701906664E-07 1.5457E-13 1.5440E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 10 -.118030148947E-07 0.115402122532E-07 1.5114E-13 1.5112E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 11 0.191248103313E-07 -.320659630407E-08 1.8075E-13 1.8076E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 12 0.195727397620E-07 0.673263942474E-08 1.5822E-13 1.5827E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 13 0.137731814234E-07 0.104884603541E-08 1.9982E-13 2.0044E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 14 -.193558015507E-07 -.386445572966E-07 2.5845E-13 2.6050E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 15 -.144163409680E-07 -.327649474161E-07 1.5192E-13 1.5357E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 16 16 -.383076046230E-07 0.296936625432E-08 5.8410E-14 5.7375E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 17 0 0.191683988641E-07 0.000000000000E+00 8.9835E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 17 1 -.253883634575E-07 -.317311696704E-07 9.1463E-14 9.1198E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 17 2 -.201034440058E-07 0.682227709906E-08 9.7999E-14 9.8021E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 17 3 0.628305707627E-08 0.504775457514E-08 1.0809E-13 1.0834E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 4 0.647127916270E-08 0.253076055749E-07 1.2970E-13 1.2985E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 5 -.162082323186E-07 0.801389392276E-08 1.2789E-13 1.2803E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 6 -.117386234521E-07 -.294348192553E-07 1.3534E-13 1.3540E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 7 0.249650034238E-07 -.440271841902E-08 1.4067E-13 1.4082E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 8 0.389838910717E-07 0.365013457486E-08 1.4040E-13 1.4037E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 9 0.347920220348E-08 -.276397181514E-07 1.5032E-13 1.5049E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 10 -.378143871155E-08 0.183755782032E-07 1.5692E-13 1.5683E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 11 -.160137775029E-07 0.110904870178E-07 1.5728E-13 1.5733E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 12 0.287274500731E-07 0.204615148718E-07 1.8325E-13 1.8330E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 13 0.164973546338E-07 0.201417376558E-07 1.6189E-13 1.6240E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 14 -.142723459006E-07 0.115740158046E-07 2.3098E-13 2.2849E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 15 0.553964708414E-08 0.524532137932E-08 2.2263E-13 2.2274E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 16 -.304020078693E-07 0.360805593313E-08 1.5698E-13 1.5398E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 17 17 -.347076043496E-07 -.198676996850E-07 6.5570E-14 6.8595E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 18 0 0.611930631155E-08 0.000000000000E+00 9.1255E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 18 1 0.720991347618E-08 -.392608144710E-07 9.2850E-14 9.2568E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 18 2 0.147314738118E-07 0.107970571681E-07 9.8792E-14 9.8816E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 18 3 -.502006339270E-08 -.585427198583E-08 1.1446E-13 1.1465E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 4 0.546065488135E-07 -.772017069004E-09 1.2447E-13 1.2448E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 5 0.596684029903E-08 0.261250357445E-07 1.2384E-13 1.2393E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 6 0.135696089458E-07 -.132469724894E-07 1.3564E-13 1.3557E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 7 0.678197413900E-08 0.745636932707E-08 1.3085E-13 1.3089E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 8 0.304873471871E-07 0.435945980632E-08 1.4748E-13 1.4742E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 9 -.195691169658E-07 0.361446707501E-07 1.4266E-13 1.4256E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 10 0.521446435808E-08 -.423881756292E-08 1.5788E-13 1.5782E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 11 -.689167008191E-08 0.211285208479E-08 1.5989E-13 1.5987E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 12 -.297467757484E-07 -.165596728744E-07 1.6456E-13 1.6450E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 13 -.626186520011E-08 -.349289463940E-07 1.8777E-13 1.8786E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 14 -.830255747181E-08 -.128363803645E-07 2.0630E-13 2.0838E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 15 -.404638556652E-07 -.202746098389E-07 2.1564E-13 2.1961E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 16 0.101584600888E-07 0.650701557947E-08 2.2124E-13 2.2031E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 17 0.347952190418E-08 0.437948856935E-08 1.4110E-13 1.4154E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 18 18 0.298846741644E-08 -.108525159540E-07 5.2312E-14 5.1883E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 19 0 -.330098586023E-08 0.000000000000E+00 9.3170E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 19 1 -.899745371534E-08 0.115488298927E-08 9.4578E-14 9.4266E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 19 2 0.357422570661E-07 -.237380287794E-08 1.0010E-13 1.0012E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 3 -.758213167459E-08 0.106283001722E-08 1.0932E-13 1.0950E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 4 0.158065266221E-07 -.817072329666E-08 1.2740E-13 1.2755E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 5 0.104041509721E-07 0.274325133918E-07 1.2906E-13 1.2923E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 6 -.480175374869E-08 0.187473138493E-07 1.3205E-13 1.3209E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 7 0.562349588249E-08 -.875677182494E-08 1.4253E-13 1.4269E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 8 0.298657468375E-07 -.998924051637E-08 1.3550E-13 1.3543E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 9 0.329252699787E-08 0.724827287499E-08 1.5358E-13 1.5376E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 10 -.338757453445E-07 -.757535789224E-08 1.4608E-13 1.4606E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 11 0.163069085247E-07 0.103637498837E-07 1.6495E-13 1.6483E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 12 -.245156475525E-08 0.945518669874E-08 1.6210E-13 1.6212E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 13 -.754638845367E-08 -.285189893317E-07 1.7215E-13 1.7272E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 14 -.475396536746E-08 -.128556508604E-07 2.1267E-13 2.0939E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 15 -.175882556249E-07 -.140786402053E-07 1.7161E-13 1.7515E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 16 -.217453505785E-07 -.710327623263E-08 2.2379E-13 2.2374E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 17 0.288137457759E-07 -.153369829910E-07 2.2130E-13 2.2197E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 18 0.350122288338E-07 -.969234953064E-08 1.3691E-13 1.3690E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 19 19 -.270119291996E-08 0.519729306547E-08 4.9468E-14 4.9727E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 20 0 0.215781872544E-07 0.000000000000E+00 9.4852E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 20 1 0.558342367557E-08 0.705538214815E-08 9.6663E-14 9.6373E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 20 2 0.202927645034E-07 0.171825996954E-07 1.0176E-13 1.0178E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 3 -.473117107995E-08 0.388940877919E-07 1.1523E-13 1.1540E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 4 0.425744519804E-08 -.226111289531E-07 1.2456E-13 1.2461E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 5 -.101331775018E-07 -.827215208666E-08 1.2373E-13 1.2384E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 6 0.121605552697E-07 -.437943811710E-08 1.3743E-13 1.3738E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 7 -.212357670521E-07 -.713322631470E-09 1.3029E-13 1.3026E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 8 0.508167202633E-08 0.216155711337E-08 1.4871E-13 1.4869E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 9 0.171846075588E-07 -.700509051618E-08 1.3955E-13 1.3947E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 10 -.323036468071E-07 -.478468351839E-08 1.5994E-13 1.5997E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 11 0.144526076981E-07 -.191526874353E-07 1.5020E-13 1.5014E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 12 -.646560591574E-08 0.181399265069E-07 1.7232E-13 1.7235E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 13 0.274096428484E-07 0.677160534621E-08 1.6568E-13 1.6590E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 14 0.115181870841E-07 -.143863336427E-07 2.0181E-13 2.0228E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 15 -.257857406372E-07 -.868741473379E-09 1.9225E-13 1.9306E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 16 -.124307290344E-07 -.346696912326E-09 1.7953E-13 1.8053E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 17 0.451066948027E-08 -.137327886903E-07 2.2992E-13 2.2916E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 18 0.153574102901E-07 -.880159356876E-09 2.1748E-13 2.1699E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 19 -.302429504361E-08 0.109154895370E-07 1.3154E-13 1.3222E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 20 20 0.373510631981E-08 -.126946106406E-07 4.7249E-14 4.7196E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 21 0 0.625922853165E-08 0.000000000000E+00 9.7817E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 21 1 -.161841216619E-07 0.286698100437E-07 9.9093E-14 9.8751E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 21 2 -.560050616722E-08 0.417739505988E-08 1.0383E-13 1.0384E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 3 0.191312753276E-07 0.227032917064E-07 1.1229E-13 1.1246E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 4 -.511062681952E-08 0.189397501041E-07 1.2772E-13 1.2787E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 5 0.262378666466E-08 0.108641097666E-08 1.3138E-13 1.3159E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 6 -.135518466872E-07 0.230339533362E-11 1.3192E-13 1.3196E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 7 -.661780144028E-08 0.251689099035E-08 1.4426E-13 1.4440E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 8 -.172529138161E-07 0.214720045716E-08 1.3599E-13 1.3588E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 9 0.158545594056E-07 0.908757703838E-08 1.5451E-13 1.5465E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 10 -.114085468035E-07 -.112933777853E-08 1.4496E-13 1.4500E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 11 0.689259117089E-08 -.355782124513E-07 1.6646E-13 1.6627E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 12 -.332958896182E-08 0.147735849926E-07 1.5492E-13 1.5493E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 13 -.193669402367E-07 0.139337355422E-07 1.7919E-13 1.7956E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 14 0.202655629135E-07 0.735824109624E-08 1.8761E-13 1.8454E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 15 0.175716241955E-07 0.103608608826E-07 1.8728E-13 1.9117E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 16 0.749314142806E-08 -.665423413609E-08 1.9402E-13 1.9360E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 17 -.746268406386E-08 -.737590042859E-08 1.8767E-13 1.8723E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 18 0.264701710088E-07 -.110615394591E-07 2.3499E-13 2.3525E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 19 -.272049208058E-07 0.165478883694E-07 2.1487E-13 2.1544E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 20 -.269439823237E-07 0.159250868120E-07 1.2707E-13 1.2687E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 21 21 0.845431089093E-08 -.365767028697E-08 4.3468E-14 4.3439E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 22 0 -.107729696586E-07 0.000000000000E+00 1.0060E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 22 1 0.156862723455E-07 -.381497252625E-08 1.0181E-13 1.0147E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 2 -.265038471099E-07 -.114033038607E-08 1.0625E-13 1.0626E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 3 0.113634853395E-07 0.101325981417E-07 1.1793E-13 1.1809E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 4 -.362100614328E-08 0.187411005429E-07 1.2676E-13 1.2683E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 5 0.762591325974E-10 -.323385364256E-09 1.2593E-13 1.2604E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 6 0.101515714560E-07 -.552001482159E-08 1.4003E-13 1.4001E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 7 0.174531457905E-07 0.475458572698E-08 1.3302E-13 1.3295E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 8 -.235096268399E-07 0.381726379682E-08 1.4976E-13 1.4970E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 9 0.667579966807E-08 0.837473563876E-08 1.4230E-13 1.4225E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 10 0.561932418179E-08 0.223527800086E-07 1.5938E-13 1.5943E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 11 -.481853635677E-08 -.175645120889E-07 1.5160E-13 1.5158E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 12 0.242098431295E-08 -.821256078092E-08 1.7190E-13 1.7197E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 13 -.171605494729E-07 0.195169861326E-07 1.6095E-13 1.6128E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 14 0.108700191483E-07 0.832089661111E-08 1.9975E-13 2.0044E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 15 0.257692642050E-07 0.471135539976E-08 1.7224E-13 1.7433E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 16 0.109750980218E-09 -.729242970366E-08 1.9728E-13 1.9822E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 17 0.857587100794E-08 -.145966399303E-07 1.9710E-13 1.9698E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 18 0.101955275705E-07 -.161929340135E-07 1.9482E-13 1.9526E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 19 0.140426015857E-07 -.335954373370E-08 2.4062E-13 2.4052E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 20 -.167679447801E-07 0.195770361850E-07 2.1227E-13 2.1225E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 21 -.253182095237E-07 0.239726954769E-07 1.2030E-13 1.2016E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 22 22 -.100779678463E-07 0.232893852379E-08 4.0714E-14 4.0135E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 23 0 -.222468575271E-07 0.000000000000E+00 1.0367E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 23 1 0.916494932192E-08 0.161678245831E-07 1.0486E-13 1.0452E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 2 -.143925041468E-07 -.459486700594E-08 1.0901E-13 1.0904E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 3 -.240759591551E-07 -.175030997518E-07 1.1686E-13 1.1701E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 4 -.238691894667E-07 0.824848195437E-08 1.3022E-13 1.3034E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 5 -.872204562342E-09 0.164842698629E-09 1.3507E-13 1.3529E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 6 -.119426744070E-07 0.161262147063E-07 1.3433E-13 1.3437E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 7 -.689491927510E-08 -.191422155639E-08 1.4665E-13 1.4675E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 8 0.734328549268E-08 0.182674960717E-09 1.4001E-13 1.3985E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 9 0.181500114246E-08 -.128471011020E-07 1.5503E-13 1.5515E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 10 0.168553249626E-07 -.226262540204E-08 1.4978E-13 1.4984E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 11 0.923043897732E-08 0.142926570432E-07 1.6495E-13 1.6475E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 12 0.164649466419E-07 -.120186206566E-07 1.5944E-13 1.5945E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 13 -.116106542120E-07 -.521000677475E-08 1.7699E-13 1.7722E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 14 0.695910691713E-08 -.146499490043E-08 1.7933E-13 1.7761E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 15 0.189406234158E-07 -.359052638974E-08 1.9004E-13 1.9219E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 16 0.590489695970E-08 0.110671111471E-07 1.7721E-13 1.7741E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 17 -.545736623311E-08 -.129353271182E-07 2.0597E-13 2.0539E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 18 0.855041492180E-08 -.148087987421E-07 1.9783E-13 1.9794E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 19 -.547905396644E-08 0.106539168145E-07 2.0484E-13 2.0413E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 20 0.797008299939E-08 -.546251013667E-08 2.4594E-13 2.4599E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 21 0.157086741697E-07 0.117455520809E-07 2.0656E-13 2.0650E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 22 -.179745938374E-07 0.473159615592E-08 1.1284E-13 1.1219E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 23 23 0.305683290139E-08 -.120509364661E-07 3.6556E-14 3.6522E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 24 0 -.851336739619E-10 0.000000000000E+00 1.0665E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 24 1 -.272367667456E-08 -.151948057664E-08 1.0822E-13 1.0786E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 2 0.933540883554E-09 0.151871351073E-07 1.1217E-13 1.1219E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 3 -.481125266489E-08 -.973572875286E-08 1.2246E-13 1.2261E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 4 0.596715070942E-08 0.509531468608E-08 1.3081E-13 1.3091E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 5 -.715086459455E-08 -.214338264517E-07 1.3008E-13 1.3022E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 6 0.361208030999E-08 0.135434585018E-08 1.4376E-13 1.4377E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 7 -.606910920793E-08 0.491704815930E-08 1.3812E-13 1.3798E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 8 0.154121512314E-07 -.360629536210E-08 1.5158E-13 1.5149E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 9 -.115787850439E-07 -.178348901913E-07 1.4831E-13 1.4825E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 10 0.109677772922E-07 0.212585763884E-07 1.5887E-13 1.5892E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 11 0.151936233445E-07 0.178103251650E-07 1.5846E-13 1.5845E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 12 0.114884602597E-07 -.618664083631E-08 1.6892E-13 1.6903E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 13 -.302157170218E-08 0.293133242589E-08 1.6752E-13 1.6788E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 14 -.199517233747E-07 -.204815886677E-08 1.9346E-13 1.9496E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 15 0.636332673210E-08 -.159586126347E-07 1.7526E-13 1.7854E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 16 0.844147197235E-08 0.271926384681E-08 1.9613E-13 1.9620E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 17 -.119389350875E-07 -.644846604062E-08 1.8393E-13 1.8333E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 18 -.366243671829E-09 -.102967792526E-07 2.1270E-13 2.1314E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 19 -.444932704170E-08 -.867578675902E-08 2.0004E-13 2.0012E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 20 -.565724018047E-08 0.863026417122E-08 2.1436E-13 2.1469E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 21 0.554563963267E-08 0.141168557421E-07 2.4863E-13 2.4852E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 22 0.398560067052E-08 -.393244358781E-08 1.9911E-13 1.9866E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 23 -.619047313613E-08 -.882008245130E-08 1.0495E-13 1.0507E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 24 24 0.126589431639E-07 -.368250006042E-08 3.3512E-14 3.3201E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 25 0 0.322646860225E-08 0.000000000000E+00 1.1079E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 25 1 0.637354200033E-08 -.917384497103E-08 1.1191E-13 1.1154E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 2 0.227365275060E-07 0.933640130148E-08 1.1564E-13 1.1567E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 3 -.968311882926E-08 -.143114676767E-07 1.2290E-13 1.2304E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 4 0.101611146629E-07 0.267162097272E-09 1.3470E-13 1.3481E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 5 -.110431943630E-07 -.416217623217E-09 1.4009E-13 1.4032E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 6 0.162597503648E-07 0.182839895295E-09 1.3894E-13 1.3895E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 7 0.958835723314E-08 -.662229734356E-08 1.5016E-13 1.5023E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 8 0.207451684756E-08 0.179278212691E-09 1.4634E-13 1.4620E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 9 -.303796342822E-07 0.229566649047E-07 1.5651E-13 1.5663E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 10 0.899078370275E-08 -.440986356796E-08 1.5730E-13 1.5735E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 11 0.189925261950E-08 0.103237998302E-07 1.6404E-13 1.6388E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 12 -.774952971860E-08 0.115651044236E-07 1.6819E-13 1.6825E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 13 0.796265620652E-08 -.116552035733E-07 1.7323E-13 1.7347E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 14 -.199181420102E-07 0.656419016285E-08 1.8246E-13 1.8206E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 15 -.444587704666E-08 -.740932454705E-08 1.8376E-13 1.8529E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 16 0.130004404612E-08 -.129032098250E-07 1.8613E-13 1.8640E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 17 -.155107269260E-07 -.371202224440E-08 2.0056E-13 2.0034E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 18 0.153971642798E-08 -.148819985119E-07 1.9071E-13 1.9113E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 19 0.776149366086E-08 0.980539034965E-08 2.1920E-13 2.1888E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 20 -.798418275635E-08 -.967405590838E-09 2.0277E-13 2.0280E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 21 0.106993128999E-07 0.775343395654E-08 2.2495E-13 2.2504E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 22 -.141335106391E-07 0.386314466004E-08 2.4916E-13 2.4916E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 23 0.858291622541E-08 -.126375937060E-07 1.9077E-13 1.9070E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 25 24 0.423857871266E-08 -.839390552397E-08 9.6970E-14 9.6669E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 25 25 0.104869029425E-07 0.494598355629E-08 2.9120E-14 2.9301E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 26 0 0.587336933244E-08 0.000000000000E+00 1.1477E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 26 1 -.137715279135E-09 -.664907039556E-08 1.1594E-13 1.1556E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 2 -.160435070667E-08 0.115349351384E-07 1.1949E-13 1.1951E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 3 0.151049202387E-07 0.404648894973E-08 1.2879E-13 1.2893E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 4 0.190711677320E-07 -.202264843726E-07 1.3661E-13 1.3671E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 5 0.131177939173E-07 0.782071148566E-08 1.3605E-13 1.3620E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 6 0.959779006713E-08 -.105191972039E-07 1.4881E-13 1.4883E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 7 -.158948035379E-08 0.445807514084E-08 1.4504E-13 1.4489E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 8 0.348096814925E-08 0.177630173402E-08 1.5480E-13 1.5471E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 9 -.131023126112E-07 0.714153309568E-09 1.5604E-13 1.5596E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 10 -.149755835370E-07 -.565974792611E-08 1.6025E-13 1.6028E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 11 -.461860911512E-08 0.168355593863E-08 1.6688E-13 1.6688E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 12 -.170076864977E-07 0.232851569582E-08 1.6796E-13 1.6805E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 13 -.172495480871E-09 0.153061320223E-08 1.7674E-13 1.7712E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 14 0.767243720498E-08 0.806157160028E-08 1.8812E-13 1.8978E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 15 -.133542352208E-07 0.829618291129E-08 1.8549E-13 1.8856E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 16 0.158758166922E-08 -.639751700972E-08 1.8791E-13 1.8802E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 17 -.120068570468E-07 0.791757767608E-08 1.9535E-13 1.9462E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 18 -.129293954044E-07 0.489392068159E-08 2.0351E-13 2.0360E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 19 -.226574825815E-08 0.377251446494E-08 2.0024E-13 1.9968E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 20 0.623273855446E-08 -.119849512918E-07 2.2493E-13 2.2510E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 21 -.916366431794E-08 0.194396175474E-08 2.0596E-13 2.0602E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 22 0.103814906208E-07 0.707321463933E-08 2.3488E-13 2.3538E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 23 0.102056394328E-08 0.107227140479E-07 2.4857E-13 2.4840E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 24 0.902698230967E-08 0.147794386990E-07 1.8157E-13 1.8116E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 26 25 0.378246291820E-08 -.579756253525E-09 8.7091E-14 8.7440E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 26 26 0.662301340285E-09 0.207661885787E-08 2.5806E-14 2.5859E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 27 0 0.363974773161E-08 0.000000000000E+00 1.1924E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 27 1 0.286685893483E-08 0.159421889217E-08 1.2030E-13 1.1990E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 2 0.675793366056E-09 -.639277816532E-09 1.2369E-13 1.2372E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 3 0.353646140264E-08 0.104881421252E-07 1.3047E-13 1.3061E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 4 -.160057697827E-08 0.804324518038E-08 1.4104E-13 1.4116E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 5 0.146039795835E-07 0.149891796608E-07 1.4658E-13 1.4682E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 6 0.495864957195E-08 0.643010081274E-08 1.4545E-13 1.4545E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 7 -.111340287664E-07 -.690238460534E-08 1.5511E-13 1.5516E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 8 -.803979533596E-08 -.876708571050E-08 1.5434E-13 1.5423E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 9 0.305987595604E-08 0.112722964014E-07 1.5984E-13 1.5991E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 10 -.135172008585E-07 0.127503276281E-08 1.6588E-13 1.6592E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 11 0.224455601997E-08 -.943483222079E-08 1.6585E-13 1.6572E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 12 -.109589193199E-07 0.206890180594E-08 1.7718E-13 1.7722E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 13 -.457573460617E-08 -.467331963997E-08 1.7322E-13 1.7347E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 14 0.153370149384E-07 0.118177811837E-07 1.8874E-13 1.8900E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 15 -.212945043152E-08 0.147531834589E-08 1.8106E-13 1.8317E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 16 0.257005716053E-08 0.316381294099E-08 1.9780E-13 1.9771E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 17 0.442490518015E-08 0.507937166586E-09 1.9224E-13 1.9195E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 18 -.206767105661E-08 0.787565360627E-08 2.0460E-13 2.0502E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 19 -.268121965417E-09 -.240090796227E-08 2.0633E-13 2.0627E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 20 -.126925127692E-08 0.366321265356E-08 2.0982E-13 2.1005E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 21 0.492193811046E-08 -.665047970861E-08 2.2819E-13 2.2832E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 22 -.581861217130E-08 0.289268970395E-08 2.1084E-13 2.1106E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 23 -.532312183303E-08 -.115915595761E-07 2.4472E-13 2.4473E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 24 0.380064472235E-09 -.224368344869E-08 2.4597E-13 2.4562E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 25 0.120862605031E-07 0.600942339964E-08 1.6826E-13 1.6876E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 27 26 -.683157562256E-08 -.239191950226E-08 7.7493E-14 7.7628E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 27 27 0.806510685207E-08 0.106874817589E-08 2.2018E-14 2.2288E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 28 0 -.979072280679E-08 0.000000000000E+00 1.2378E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 28 1 -.526877147603E-08 0.871803959535E-08 1.2502E-13 1.2460E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 2 -.150268124636E-07 -.823678002713E-08 1.2828E-13 1.2831E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 3 0.289564438801E-08 0.101767089264E-07 1.3678E-13 1.3691E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 4 -.141813585656E-08 0.112857845975E-07 1.4415E-13 1.4426E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 5 0.119501883361E-07 -.472375796345E-08 1.4376E-13 1.4393E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 6 -.461717757366E-08 0.129222458562E-07 1.5539E-13 1.5541E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 7 -.257719913640E-08 0.565881845327E-08 1.5352E-13 1.5337E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 8 -.306301766198E-08 -.176130032954E-08 1.5986E-13 1.5977E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 9 0.927935221829E-08 -.126926663859E-07 1.6484E-13 1.6473E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 10 -.106344684518E-07 0.797022778057E-08 1.6434E-13 1.6436E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 11 -.353805830707E-08 -.183269539513E-08 1.7542E-13 1.7541E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 12 -.864791324827E-09 0.103366934608E-07 1.7119E-13 1.7119E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 13 0.212337197660E-08 0.589865181444E-08 1.8486E-13 1.8517E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 14 -.811646586012E-08 -.128621491350E-07 1.8695E-13 1.8821E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 15 -.122467349044E-07 -.218659026036E-08 1.9307E-13 1.9529E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 16 -.463874871539E-08 -.132785876927E-07 1.8723E-13 1.8786E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 17 0.137938007373E-07 -.497901797740E-08 2.0502E-13 2.0460E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 18 0.570854512059E-08 -.333890447212E-08 1.9668E-13 1.9688E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 19 0.628095146024E-08 0.241115539250E-07 2.1417E-13 2.1384E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 20 -.152119609178E-08 0.650079125746E-08 2.0978E-13 2.0991E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 21 0.677614450599E-08 0.661881676687E-08 2.2040E-13 2.2052E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 22 -.223295276717E-08 -.730825051319E-08 2.2972E-13 2.2979E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 23 0.688882700959E-08 0.266827677873E-08 2.1816E-13 2.1813E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 24 0.110560887930E-07 -.138883623123E-07 2.5371E-13 2.5360E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 25 0.737025611948E-08 -.174481864984E-07 2.3814E-13 2.3824E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 26 0.120690694447E-07 0.382455638748E-08 1.5402E-13 1.5448E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 28 27 -.803277550695E-08 0.120465937877E-08 6.7320E-14 6.7762E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 28 28 0.681396080676E-08 0.668517299257E-08 1.8908E-14 1.9000E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 29 0 -.525855211728E-08 0.000000000000E+00 1.2904E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 29 1 0.404243782741E-08 -.135133894166E-07 1.3009E-13 1.2967E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 2 -.236881858917E-08 -.245935973030E-08 1.3324E-13 1.3327E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 3 0.382236174792E-08 -.115682067314E-07 1.3962E-13 1.3977E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 4 -.253932691019E-07 0.239948996523E-08 1.4922E-13 1.4933E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 5 -.797906629407E-08 0.595907641782E-08 1.5469E-13 1.5493E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 6 0.116403506550E-07 0.104029447921E-07 1.5378E-13 1.5378E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 7 -.359272118538E-08 -.314882983454E-08 1.6173E-13 1.6175E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 8 -.195789813634E-07 0.957803071785E-08 1.6373E-13 1.6363E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 9 0.724745176168E-10 0.269462344513E-08 1.6550E-13 1.6554E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 10 0.137626707697E-07 0.626872142518E-10 1.7490E-13 1.7497E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 11 -.622670234561E-08 0.687019088827E-08 1.7126E-13 1.7116E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 12 -.775382722125E-09 -.485879467966E-08 1.8526E-13 1.8525E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 13 -.145283349306E-08 -.263658386810E-08 1.7859E-13 1.7891E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 14 -.308301209049E-08 -.472568243030E-08 1.9495E-13 1.9536E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 15 -.948303077000E-08 -.704799271854E-08 1.8596E-13 1.8895E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 16 0.154053734107E-09 -.146807065348E-07 2.0380E-13 2.0348E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 17 -.228114910800E-08 -.470862149344E-08 1.9543E-13 1.9498E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 18 -.355461732039E-08 -.281981781466E-08 2.1159E-13 2.1187E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 19 -.621066810390E-08 0.681468184557E-08 2.0342E-13 2.0308E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 20 -.812270640489E-08 0.579152515750E-08 2.2279E-13 2.2278E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 21 -.996364983486E-08 -.513903325525E-08 2.1331E-13 2.1343E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 22 0.117105737696E-07 -.124171502359E-08 2.3022E-13 2.3063E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 23 -.191071800471E-08 0.221937713911E-08 2.3087E-13 2.3087E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 24 0.306547882526E-09 -.224193753371E-08 2.2693E-13 2.2713E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 25 0.578993611548E-08 0.874324232255E-08 2.5860E-13 2.5857E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 26 0.786141721174E-08 -.680894828829E-08 2.2638E-13 2.2681E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 27 -.772746139571E-08 -.711411215500E-09 1.3899E-13 1.3950E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 29 28 0.953691428941E-08 -.573979552138E-08 6.1162E-14 5.9041E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 29 29 0.128023546821E-07 -.521573076201E-08 2.0877E-14 1.5783E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 30 0 0.623878717218E-08 0.000000000000E+00 1.3444E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 30 1 0.275120437086E-09 0.107262272532E-08 1.3558E-13 1.3512E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 2 -.997009277214E-08 -.116222824579E-08 1.3861E-13 1.3865E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 3 0.390498443543E-08 -.137400572983E-07 1.4643E-13 1.4657E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 4 -.167395147114E-08 -.375656219795E-08 1.5345E-13 1.5357E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 5 -.264441361934E-08 -.567537879617E-08 1.5322E-13 1.5341E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 6 -.164804637224E-09 0.832932242651E-09 1.6364E-13 1.6365E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 7 0.239489195149E-08 0.381664126700E-08 1.6354E-13 1.6338E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 8 0.465775043434E-08 0.327087510493E-08 1.6699E-13 1.6690E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 9 -.802542910955E-08 -.117092826935E-07 1.7458E-13 1.7445E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 10 0.488831687801E-08 -.495705151729E-08 1.7146E-13 1.7150E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 11 -.954879330570E-08 0.103872643653E-07 1.8384E-13 1.8382E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 12 0.171014939752E-07 -.107394607844E-07 1.7890E-13 1.7883E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 13 0.137959494435E-07 0.297459250276E-08 1.9166E-13 1.9196E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 14 0.484177324066E-08 0.812300390801E-08 1.9016E-13 1.9058E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 15 0.652905967371E-09 -.106354525014E-08 1.9768E-13 1.9943E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 16 -.105671181774E-07 0.414178998748E-08 1.9591E-13 1.9690E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 17 -.688912102997E-08 -.587147977192E-08 2.0806E-13 2.0782E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 18 -.111636403537E-07 -.796642061681E-08 2.0399E-13 2.0432E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 19 -.136316796728E-07 0.274877827561E-08 2.1725E-13 2.1714E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 20 -.522598798522E-08 0.133424451361E-07 2.1168E-13 2.1176E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 21 -.116713237110E-07 -.554483026196E-08 2.2889E-13 2.2900E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 22 -.524575366395E-08 -.871013434636E-08 2.1885E-13 2.1912E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 23 0.539165514486E-08 -.109803778829E-07 2.3915E-13 2.3921E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 24 -.273942461535E-08 -.258231952782E-08 2.3193E-13 2.3185E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 25 0.307732214351E-08 -.157206203066E-07 2.3769E-13 2.3741E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 26 0.135527808836E-08 0.125533877044E-07 2.5920E-13 2.5943E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 27 -.773277431547E-08 0.125539299605E-07 2.1244E-13 2.1306E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 28 -.582523514439E-08 -.809341560053E-08 1.2245E-13 1.2245E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 30 29 0.393953463586E-08 0.187631851627E-08 4.8475E-14 4.9632E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 30 30 0.258352027864E-08 0.847222177824E-08 1.5160E-14 1.6596E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 31 0 0.677114928195E-08 0.000000000000E+00 1.4044E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 31 1 0.712987804032E-08 -.184647019585E-07 1.4145E-13 1.4099E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 2 0.626282915416E-08 0.510146323158E-08 1.4438E-13 1.4441E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 3 -.658502666229E-08 -.753491800678E-08 1.5045E-13 1.5061E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 4 0.113856127290E-07 -.516570757248E-08 1.5924E-13 1.5935E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 5 -.114745507271E-07 0.545571770729E-08 1.6453E-13 1.6479E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 6 -.878335223003E-10 -.279825956233E-09 1.6395E-13 1.6394E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 7 -.151434390503E-08 -.134017893483E-08 1.7023E-13 1.7023E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 8 -.313137586753E-08 0.214399276008E-08 1.7443E-13 1.7435E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 9 0.906745716975E-09 0.585022591026E-08 1.7372E-13 1.7370E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 10 0.437599136332E-08 -.489056774870E-08 1.8449E-13 1.8456E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 11 0.198568724920E-08 0.217037271509E-07 1.8021E-13 1.8012E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 12 0.574744066444E-09 0.399179091274E-08 1.9282E-13 1.9280E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 13 0.975742913933E-08 0.466439436560E-08 1.8863E-13 1.8906E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 14 -.805697709845E-08 0.322646077824E-08 2.0099E-13 2.0112E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 15 0.415854043195E-08 -.236513480358E-08 1.9676E-13 2.0020E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 16 -.688405467923E-08 0.614220849082E-08 2.0662E-13 2.0636E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 17 -.294486257233E-08 0.685290607598E-08 2.0746E-13 2.0682E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 18 -.532999471415E-09 -.242558719200E-08 2.1236E-13 2.1258E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 19 0.213533853344E-08 0.476493532127E-08 2.1486E-13 2.1438E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 20 -.244798074097E-08 0.573001956247E-08 2.2221E-13 2.2224E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 21 -.995727218214E-08 0.743320094763E-08 2.2151E-13 2.2170E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 22 -.989031057128E-08 -.112349284863E-07 2.3282E-13 2.3289E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 23 0.806569969460E-08 0.430641807924E-08 2.2687E-13 2.2692E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 24 -.289176393012E-08 -.371779390912E-08 2.4652E-13 2.4649E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 25 -.166390969326E-07 -.176397377409E-08 2.3275E-13 2.3282E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 26 -.128515811841E-07 0.178488456942E-08 2.4773E-13 2.4782E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 27 -.113753451436E-08 0.110339854062E-07 2.5568E-13 2.5600E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 28 0.102084905630E-07 0.283946765932E-08 1.9537E-13 1.9503E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 29 -.202056365709E-08 -.232302706635E-08 1.0379E-13 1.0345E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 31 30 -.825808342292E-09 -.813595922919E-08 3.7540E-14 3.8400E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 31 31 -.882096879824E-08 -.158170598720E-08 9.1868E-15 9.9009E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 32 0 -.240785775827E-08 0.000000000000E+00 1.4670E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 32 1 -.789151200855E-10 0.355752329832E-08 1.4775E-13 1.4726E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 2 0.115034836332E-07 -.287115250087E-08 1.5061E-13 1.5064E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 3 -.435439007865E-09 0.373480990879E-08 1.5787E-13 1.5801E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 4 0.197054775954E-08 -.731003174599E-08 1.6457E-13 1.6469E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 5 0.962518604208E-08 0.127922117226E-08 1.6455E-13 1.6475E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 6 -.111893387670E-07 -.840388540223E-08 1.7366E-13 1.7368E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 7 0.104925160780E-08 0.445225938773E-08 1.7516E-13 1.7501E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 8 0.134408274865E-07 0.728789208373E-08 1.7635E-13 1.7625E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 9 0.548159204411E-08 -.148466077907E-08 1.8535E-13 1.8521E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 10 -.141276040799E-08 -.499517998688E-08 1.8159E-13 1.8166E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 11 -.352554910400E-08 0.791062658498E-08 1.9267E-13 1.9262E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 12 -.170780147598E-07 0.137388088055E-07 1.9024E-13 1.9016E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 13 0.414150375593E-08 0.477625427510E-08 1.9841E-13 1.9870E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 14 -.552584908002E-08 0.195830006661E-08 1.9749E-13 1.9704E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 15 0.483355314038E-08 -.842497223704E-08 2.0233E-13 2.0422E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 16 0.373483731343E-08 0.386848813621E-08 2.0887E-13 2.0978E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 17 -.650809987190E-08 0.100837106394E-07 2.1042E-13 2.1012E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 18 0.130240989324E-07 -.176750111038E-08 2.1714E-13 2.1752E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 19 0.702980378262E-09 -.287218700813E-08 2.1735E-13 2.1720E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 20 0.296215831835E-08 -.135205622222E-09 2.2562E-13 2.2572E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 21 -.238322485179E-08 0.116961015068E-07 2.2585E-13 2.2588E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 22 -.122792335056E-07 -.236709604259E-08 2.3205E-13 2.3230E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 23 0.766897846984E-08 -.250801173459E-08 2.3611E-13 2.3614E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 24 -.375066134869E-08 0.142299229987E-09 2.3659E-13 2.3676E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 25 -.193328081715E-07 -.580025454770E-08 2.4929E-13 2.4923E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 26 0.536360951969E-08 -.383039764895E-08 2.3642E-13 2.3651E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 27 -.505425719233E-08 -.669558464158E-08 2.5621E-13 2.5588E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 28 0.157141617115E-08 -.570404573389E-08 2.4724E-13 2.4738E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 29 0.375337769865E-08 0.299678596354E-08 1.7261E-13 1.7260E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 32 30 -.692282634555E-08 0.133585729591E-08 8.4848E-14 8.6742E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 32 31 -.608991808639E-08 -.290876910652E-09 2.9868E-14 3.0562E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 32 32 0.347633332255E-08 0.126792062041E-08 9.1109E-15 9.5458E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 33 0 -.362634308693E-08 0.000000000000E+00 1.5348E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 33 1 -.174311760122E-08 -.387851199870E-08 1.5450E-13 1.5399E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 2 -.605545172980E-08 0.232181865584E-08 1.5727E-13 1.5730E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 3 -.377584672990E-09 0.616361477488E-08 1.6308E-13 1.6324E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 4 -.640475339217E-08 0.510169196854E-08 1.7119E-13 1.7130E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 5 -.315382054557E-09 0.428050064586E-08 1.7622E-13 1.7648E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 6 0.511981365417E-09 -.258662115880E-08 1.7602E-13 1.7603E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 7 -.374501242271E-08 0.744088857575E-09 1.8075E-13 1.8072E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 8 -.399838087912E-08 0.150902551477E-07 1.8658E-13 1.8647E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 9 0.524668057437E-08 0.109875531164E-07 1.8454E-13 1.8445E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 10 -.160022615449E-08 0.114318703942E-08 1.9495E-13 1.9502E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 11 0.205062261995E-08 -.668709165409E-08 1.9225E-13 1.9219E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 12 -.998688982342E-09 0.969269890828E-08 2.0088E-13 2.0088E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 13 0.206483891996E-08 0.297353089719E-08 2.0163E-13 2.0213E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 14 0.488307602769E-08 0.564390245395E-08 2.0779E-13 2.0756E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 15 -.461580752637E-08 -.347731324862E-08 2.0982E-13 2.1309E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 16 0.675557216481E-08 0.560705958016E-08 2.1140E-13 2.1149E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 17 -.518917349486E-08 0.123463082955E-07 2.2045E-13 2.1987E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 18 -.102461949324E-07 -.294600262351E-08 2.1611E-13 2.1636E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 19 0.800944575730E-08 0.227626073673E-08 2.2734E-13 2.2698E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 20 -.354381718672E-08 -.845647100732E-08 2.2339E-13 2.2341E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 21 0.815457189834E-09 0.240783446878E-09 2.3504E-13 2.3508E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 22 -.940726800413E-08 -.153446151780E-07 2.3048E-13 2.3065E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 23 -.343296425380E-09 -.105239299099E-07 2.4176E-13 2.4180E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 24 0.111066385328E-07 -.915164293413E-08 2.3910E-13 2.3916E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 25 0.508525335153E-08 -.106232505695E-07 2.4686E-13 2.4661E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 26 0.103105842110E-07 0.457620605549E-08 2.4907E-13 2.4928E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 27 -.986965772710E-09 0.106748432124E-08 2.4298E-13 2.4251E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 28 0.152418437511E-08 -.788585534292E-09 2.6117E-13 2.6144E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 29 -.164339588496E-07 0.551415668658E-08 2.2867E-13 2.2855E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 30 -.161520219076E-08 -.184218683423E-07 1.4556E-13 1.4807E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 33 31 0.425362097110E-08 0.852314965370E-09 6.7625E-14 6.8268E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 33 32 0.625082680421E-08 -.469599663984E-08 2.3226E-14 2.3037E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 33 33 -.168704845793E-08 0.835081416377E-08 7.1256E-15 7.8251E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 34 0 -.893892465034E-08 0.000000000000E+00 1.6069E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 34 1 -.426350475867E-09 0.651312893204E-08 1.6171E-13 1.6118E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 2 0.695052113434E-08 0.754118419203E-08 1.6444E-13 1.6447E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 3 0.133796618835E-07 0.855615592923E-08 1.7128E-13 1.7142E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 4 -.808426991088E-08 0.319165713296E-09 1.7767E-13 1.7780E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 5 -.434570368502E-08 0.263847535467E-08 1.7780E-13 1.7803E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 6 -.738157425861E-09 0.666363983296E-08 1.8567E-13 1.8569E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 7 0.212875852279E-08 -.690860685318E-08 1.8849E-13 1.8833E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 8 -.751628142217E-08 0.617325443781E-08 1.8808E-13 1.8795E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 9 0.295171255353E-10 -.213422623163E-09 1.9736E-13 1.9722E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 10 -.952315157105E-08 0.180640848340E-08 1.9448E-13 1.9461E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 11 -.156459017664E-08 -.842140272795E-09 2.0259E-13 2.0254E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 12 0.148632163950E-07 -.415562787534E-08 2.0416E-13 2.0409E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 13 -.338277815118E-08 0.160855695069E-08 2.0672E-13 2.0704E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 14 -.260442848207E-08 0.973207286642E-08 2.0899E-13 2.0811E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 15 0.469146534349E-09 0.599913976047E-08 2.1011E-13 2.1262E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 16 -.199631432249E-08 -.215721668290E-08 2.2151E-13 2.2221E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 17 -.400601835748E-08 0.271773058266E-08 2.1792E-13 2.1740E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 18 -.137008376712E-07 -.546123633523E-08 2.2823E-13 2.2854E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 19 -.339188344469E-08 0.654379666103E-08 2.2464E-13 2.2420E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 20 0.381787797953E-08 -.982278606119E-08 2.3575E-13 2.3582E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 21 -.194913072968E-08 -.685027422709E-08 2.3125E-13 2.3140E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 22 -.317114999750E-08 0.366596779394E-08 2.4185E-13 2.4193E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 23 -.100072054056E-08 -.123095521270E-07 2.3779E-13 2.3780E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 24 0.803792052403E-08 0.361721719319E-08 2.4993E-13 2.4992E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 25 0.847857705861E-08 -.101700065728E-07 2.4350E-13 2.4324E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 26 0.361153233668E-08 -.131021130409E-07 2.5422E-13 2.5426E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 27 0.127060596112E-07 -.397126633136E-08 2.4880E-13 2.4859E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 28 -.658071743241E-09 -.199597480438E-07 2.5106E-13 2.5132E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 29 0.667332145453E-08 -.425644031651E-08 2.5579E-13 2.5590E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 30 -.207351907370E-07 -.922175073207E-09 2.0314E-13 2.0552E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 31 -.477370474049E-08 -.197554751098E-08 1.2066E-13 1.2164E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 34 32 0.892992967304E-08 0.181789610740E-08 5.3599E-14 5.3457E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 34 33 0.140180496199E-07 0.430462605231E-08 1.6387E-14 1.6538E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 34 34 -.876678923335E-08 0.162792980391E-08 4.3684E-15 4.5615E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 35 0 0.775758085652E-08 0.000000000000E+00 1.6842E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 35 1 -.125408550405E-07 -.100694620703E-07 1.6945E-13 1.6888E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 2 -.150797961803E-07 0.712359196727E-08 1.7208E-13 1.7212E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 3 0.156351754375E-08 0.229592562580E-08 1.7768E-13 1.7786E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 4 -.254886600026E-08 0.107261909606E-07 1.8523E-13 1.8536E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 5 -.796559254925E-08 -.111162750706E-07 1.8993E-13 1.9020E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 6 0.620737374127E-08 0.938969804451E-08 1.9013E-13 1.9014E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 7 -.321899650990E-08 0.234730780519E-08 1.9351E-13 1.9343E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 8 0.150688570390E-08 0.966523332929E-08 2.0032E-13 2.0021E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 9 -.139520876788E-08 -.224523913144E-09 1.9799E-13 1.9784E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 10 -.228240326410E-08 0.107976921966E-07 2.0670E-13 2.0677E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 11 0.219298963061E-08 -.338683751811E-08 2.0683E-13 2.0683E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 12 0.894248753461E-08 -.720008108674E-08 2.1071E-13 2.1070E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 13 -.194977263277E-08 0.406670867519E-08 2.1614E-13 2.1663E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 14 -.643937165733E-08 -.659432166120E-08 2.1697E-13 2.1656E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 15 -.142110229538E-07 0.868228331837E-08 2.2285E-13 2.2567E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 16 -.595584613045E-08 -.740437956956E-08 2.2129E-13 2.2183E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 17 0.112361023813E-08 -.967733967826E-08 2.3099E-13 2.3054E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 18 -.521892362317E-08 -.109811691157E-07 2.2721E-13 2.2749E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 19 -.128090554516E-08 -.348632543365E-08 2.3568E-13 2.3544E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 20 0.113366547124E-08 -.460090458107E-09 2.3472E-13 2.3479E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 21 0.126582745109E-07 -.483849537609E-09 2.4144E-13 2.4150E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 22 0.650654173800E-08 0.594720997298E-08 2.4107E-13 2.4128E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 23 -.849907082581E-08 -.243395268886E-08 2.4705E-13 2.4712E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 24 0.279655479505E-08 0.531250865210E-08 2.4703E-13 2.4716E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 25 0.728121232316E-08 0.174550149137E-08 2.5351E-13 2.5334E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 26 -.442145547025E-08 0.443689528342E-08 2.5025E-13 2.5021E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 27 0.110725119789E-07 -.134049971507E-07 2.5829E-13 2.5830E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 28 0.743301918129E-08 -.151494988450E-07 2.4937E-13 2.4957E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 29 0.748481199265E-08 0.316291736838E-08 2.5640E-13 2.5656E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 30 -.442386908039E-08 0.288189780717E-08 2.3922E-13 2.4101E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 31 0.785707272909E-08 0.361260375094E-08 1.7417E-13 1.7553E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 35 32 -.346155468855E-08 -.831166119278E-08 9.6461E-14 9.5756E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 35 33 0.562975393691E-08 -.318645396095E-08 3.8576E-14 3.8696E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 35 34 -.782364605682E-09 0.279345947618E-08 1.2104E-14 1.1751E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 35 35 -.596561939435E-08 -.505058455294E-08 4.5903E-15 5.0778E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 36 0 -.365444091200E-08 0.000000000000E+00 1.7665E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 36 1 0.389029850958E-10 0.639691729455E-08 1.7770E-13 1.7711E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 2 -.373853069107E-08 -.287943677856E-08 1.8028E-13 1.8032E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 3 -.213200781554E-08 -.180350624720E-07 1.8680E-13 1.8695E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 4 0.493262257959E-08 0.502369869956E-09 1.9290E-13 1.9304E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 5 -.861334991106E-08 -.248140735592E-09 1.9320E-13 1.9345E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 6 0.107282695120E-07 -.309076020111E-08 1.9983E-13 1.9985E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 7 0.420105204458E-08 0.677139745588E-08 2.0370E-13 2.0353E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 8 0.623052111921E-08 -.454456028104E-08 2.0231E-13 2.0216E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 9 0.161932955255E-08 -.102559181933E-08 2.1094E-13 2.1079E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 10 0.213665308422E-08 0.639442032302E-08 2.0992E-13 2.1006E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 11 -.385498621274E-08 0.401502116929E-08 2.1439E-13 2.1435E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 12 0.215720650549E-09 -.105692772959E-07 2.1982E-13 2.1976E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 13 -.779311830925E-08 0.697411493431E-08 2.1803E-13 2.1844E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 14 -.117061487782E-07 -.528777859103E-08 2.2360E-13 2.2276E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 15 0.189442156509E-08 0.401693296798E-08 2.2251E-13 2.2577E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 16 0.203737169486E-08 0.440579064936E-09 2.3266E-13 2.3324E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 17 0.542875783832E-08 -.878181218718E-08 2.3160E-13 2.3088E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 18 0.203661441526E-08 0.471593699682E-08 2.3686E-13 2.3710E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 19 -.588585559961E-08 -.637205996157E-08 2.3879E-13 2.3829E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 20 -.611144223241E-08 0.239222198751E-08 2.4183E-13 2.4194E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 21 0.110835399494E-07 -.620798894686E-08 2.4552E-13 2.4564E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 22 0.317452195495E-08 0.116329846248E-08 2.4627E-13 2.4635E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 23 0.823564596457E-10 0.274617557991E-08 2.5109E-13 2.5117E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 24 0.144704783740E-08 -.465357631591E-08 2.5146E-13 2.5155E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 25 0.485256722146E-08 0.161799246719E-07 2.5627E-13 2.5606E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 26 0.406076064347E-08 0.986823017758E-08 2.5546E-13 2.5558E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 27 -.762132317188E-08 0.902714460951E-08 2.5772E-13 2.5743E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 28 0.208856447435E-08 -.413299319449E-08 2.5829E-13 2.5852E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 29 0.147463234099E-08 -.140262119584E-09 2.5201E-13 2.5236E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 30 -.102288655230E-07 0.656361623548E-08 2.5190E-13 2.5244E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 31 -.871119600111E-08 -.533279182815E-08 2.1426E-13 2.1564E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 32 0.130268387175E-07 0.215633616922E-08 1.4328E-13 1.4273E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 36 33 0.337889761541E-08 -.387271728509E-08 7.1680E-14 7.1944E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 36 34 -.896582980015E-08 0.412883481133E-08 2.6965E-14 2.6688E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 36 35 0.184024958416E-09 -.126152850792E-07 7.2087E-15 7.6284E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 36 36 0.497249723777E-08 -.579641425226E-08 3.9147E-15 3.4694E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 37 0 -.572005808813E-08 0.000000000000E+00 1.8547E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 37 1 -.695563587585E-08 -.128151385636E-08 1.8651E-13 1.8589E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 2 -.217551053520E-08 -.116201524674E-07 1.8904E-13 1.8908E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 3 -.580492587983E-08 -.788542808950E-10 1.9448E-13 1.9467E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 4 0.518765772563E-08 0.219325006475E-08 2.0155E-13 2.0169E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 5 -.930417232673E-08 0.184315132115E-09 2.0585E-13 2.0615E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 6 -.142999198465E-08 0.868150201713E-08 2.0648E-13 2.0646E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 7 0.709525407970E-08 0.857140403819E-08 2.0867E-13 2.0854E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 8 -.332136811896E-08 -.368787411364E-08 2.1587E-13 2.1576E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 9 0.392304796333E-08 -.174160111183E-09 2.1408E-13 2.1389E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 10 0.469879202843E-08 0.210801415481E-08 2.2027E-13 2.2032E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 11 -.154435115716E-08 0.410314970590E-08 2.2349E-13 2.2350E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 12 -.159551809394E-08 -.502632535909E-08 2.2331E-13 2.2329E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 13 -.109472154940E-08 -.707044307854E-08 2.3137E-13 2.3186E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 14 -.410335797103E-08 -.195211030350E-09 2.2966E-13 2.2922E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 15 0.946359733297E-08 -.863008719756E-09 2.3534E-13 2.3789E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 16 0.317992259980E-08 0.140859354346E-07 2.3623E-13 2.3699E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 17 0.578226986726E-08 -.334119813617E-08 2.4059E-13 2.4016E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 18 0.219159356030E-08 0.331769871173E-08 2.4287E-13 2.4321E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 19 -.652388913935E-08 0.167319328008E-09 2.4397E-13 2.4366E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 20 -.713320126291E-08 -.144521499831E-08 2.5001E-13 2.5015E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 21 0.121625965479E-08 -.129874034759E-08 2.4836E-13 2.4841E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 22 0.664902186921E-08 0.548922960577E-09 2.5460E-13 2.5477E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 23 -.120662770276E-08 0.386179289509E-08 2.5293E-13 2.5299E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 24 -.876298046396E-08 -.941431186819E-08 2.5987E-13 2.5988E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 25 0.667648905966E-08 -.272845253046E-08 2.5714E-13 2.5690E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 26 0.514784660472E-08 0.109534899599E-07 2.6165E-13 2.6176E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 27 -.570273631821E-08 0.486970368097E-08 2.5910E-13 2.5874E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 28 0.124042793062E-07 0.404559257032E-08 2.6326E-13 2.6355E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 29 0.461568410204E-08 0.616162270889E-08 2.5563E-13 2.5573E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 30 -.856097698672E-08 0.121766165148E-07 2.5356E-13 2.5314E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 31 0.335229498149E-08 -.921541421600E-08 2.3494E-13 2.3647E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 32 -.102261044611E-09 0.427834946453E-08 1.8204E-13 1.8137E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 33 0.252013517448E-08 -.162280733600E-07 1.1007E-13 1.1019E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 37 34 0.232520960374E-08 0.507180254307E-09 5.1273E-14 5.0875E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 37 35 -.102128743994E-07 -.880040349675E-08 1.6077E-14 1.6507E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 37 36 -.404364189479E-08 -.439115833108E-08 6.2237E-15 6.2991E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 37 37 0.557297809872E-08 -.408799447259E-08 4.9752E-15 3.7433E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 38 0 -.242108161370E-08 0.000000000000E+00 1.9485E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 38 1 0.508858764588E-08 0.313730027968E-08 1.9593E-13 1.9528E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 2 0.751635341073E-08 -.119724347614E-08 1.9840E-13 1.9846E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 3 -.133284303697E-08 -.469872877332E-09 2.0465E-13 2.0482E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 4 0.624902071741E-08 -.459976812485E-08 2.1050E-13 2.1065E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 5 -.973167721892E-08 0.926505189500E-08 2.1091E-13 2.1119E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 6 -.126226540571E-07 0.288294395371E-08 2.1637E-13 2.1639E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 7 0.207912990043E-08 -.108013727451E-08 2.2104E-13 2.2085E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 8 0.390492303792E-08 0.616926367162E-08 2.1918E-13 2.1904E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 9 0.373283155243E-08 -.304871539132E-08 2.2644E-13 2.2628E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 10 -.278390388712E-08 -.556881755382E-08 2.2771E-13 2.2786E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 11 0.175256746566E-08 0.741444733472E-08 2.2878E-13 2.2873E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 12 -.380786236352E-08 -.751808177179E-08 2.3664E-13 2.3661E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 13 0.246940044429E-08 -.114614430274E-07 2.3312E-13 2.3365E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 14 -.777822384444E-08 0.396590468443E-08 2.4011E-13 2.3958E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 15 0.266747636616E-08 -.263329712504E-08 2.3910E-13 2.4275E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 16 -.605364243927E-08 0.100170221602E-07 2.4399E-13 2.4463E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 17 0.277621625425E-08 0.432273792904E-08 2.4845E-13 2.4770E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 18 0.907998110893E-08 -.162185698625E-08 2.4722E-13 2.4751E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 19 0.116462407032E-08 -.460121239090E-11 2.5384E-13 2.5353E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 20 0.463009676345E-08 -.275441682680E-08 2.5199E-13 2.5213E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 21 -.103414492574E-08 0.345642646252E-08 2.5834E-13 2.5834E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 22 0.118384847005E-08 0.760907593684E-08 2.5666E-13 2.5690E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 23 -.153812492250E-08 0.586955983951E-08 2.6134E-13 2.6140E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 24 -.134441379781E-07 0.164735465727E-08 2.6165E-13 2.6173E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 25 -.368749824523E-08 -.311064420329E-08 2.6398E-13 2.6376E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 26 -.206513283132E-08 0.540196093045E-08 2.6376E-13 2.6380E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 27 -.233672597139E-08 0.900503597262E-08 2.6454E-13 2.6434E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 28 -.542313800468E-08 -.475939560605E-08 2.6441E-13 2.6474E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 29 0.615319388227E-08 0.275448306805E-08 2.6093E-13 2.6115E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 30 -.886306531728E-10 0.201173394841E-08 2.5508E-13 2.5448E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 31 0.402465158284E-08 -.877624532517E-08 2.4201E-13 2.4357E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 32 0.793317126035E-08 0.146148806931E-08 2.0548E-13 2.0494E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 33 0.313876274184E-08 0.141734064362E-07 1.4358E-13 1.4401E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 38 34 -.943626497138E-08 0.352340145741E-08 8.1562E-14 8.1076E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 38 35 0.506550371234E-08 0.229555674705E-08 3.1662E-14 3.2506E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 38 36 0.880714837532E-09 -.123246390901E-08 1.1434E-14 1.1403E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 38 37 -.383043022755E-08 0.228361021259E-08 4.5115E-15 4.4031E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 38 38 0.280833516767E-08 -.283153114954E-08 2.8498E-15 3.5952E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 39 0 0.127996856550E-08 0.000000000000E+00 2.0489E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 39 1 -.442406322563E-08 0.831787192753E-08 2.0598E-13 2.0527E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 2 0.305483978048E-08 0.708290495776E-08 2.0840E-13 2.0846E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 3 -.489391298192E-08 0.605861165636E-08 2.1373E-13 2.1393E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 4 -.434158580670E-08 -.469693756818E-08 2.2037E-13 2.2053E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 5 0.462770301917E-08 0.242871996276E-08 2.2425E-13 2.2456E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 6 -.268803436563E-08 0.246163548468E-08 2.2523E-13 2.2521E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 7 0.236539525305E-08 -.109642300485E-08 2.2646E-13 2.2629E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 8 0.285058865472E-09 0.126013693350E-07 2.3353E-13 2.3340E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 9 0.729178393933E-08 0.527022355147E-08 2.3284E-13 2.3261E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 10 0.265074635902E-08 0.677461592236E-09 2.3613E-13 2.3619E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 11 0.125384461759E-07 -.225797275633E-08 2.4192E-13 2.4194E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 12 -.340604574707E-08 0.789145301343E-08 2.3944E-13 2.3941E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 13 -.501515548763E-09 -.642121393162E-08 2.4720E-13 2.4768E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 14 -.291292188914E-08 0.240989169339E-08 2.4622E-13 2.4584E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 15 -.568758757183E-08 -.794563581800E-09 2.4848E-13 2.5119E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 16 0.916444384513E-09 -.259859994305E-08 2.5386E-13 2.5459E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 17 -.142182133659E-08 -.166583147336E-08 2.5297E-13 2.5244E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 18 0.182263981332E-08 0.507774790360E-09 2.5857E-13 2.5893E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 19 0.505156967928E-08 0.645686781608E-08 2.5723E-13 2.5678E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 20 0.251981734942E-09 -.900850294943E-08 2.6265E-13 2.6276E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 21 -.451740135324E-08 0.110271162914E-08 2.6233E-13 2.6236E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 22 -.636711595289E-08 -.100052909658E-08 2.6440E-13 2.6450E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 23 -.281524801841E-08 0.576626493762E-08 2.6618E-13 2.6625E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 24 -.977098287818E-08 0.799946965042E-08 2.6651E-13 2.6665E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 25 -.566555169721E-08 -.553182170963E-08 2.6926E-13 2.6901E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 26 -.370961120703E-08 0.780988687061E-08 2.6748E-13 2.6755E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 27 -.792177509513E-08 -.256170048950E-08 2.6879E-13 2.6877E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 28 -.343535965004E-08 -.105405995666E-07 2.6549E-13 2.6593E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 29 -.585809903188E-09 -.310034377473E-08 2.6418E-13 2.6449E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 30 0.432081097745E-08 -.105499941499E-07 2.5714E-13 2.5663E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 31 0.131162501992E-08 -.112156057189E-07 2.4519E-13 2.4657E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 32 0.323672505157E-08 0.436750877839E-08 2.1572E-13 2.1515E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 33 -.584024129339E-08 0.319149433421E-08 1.6658E-13 1.6665E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 34 -.145620626935E-08 0.330448458540E-08 1.1092E-13 1.1039E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 39 35 -.138815413171E-07 0.251848587221E-08 5.3200E-14 5.4640E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 39 36 0.452358956440E-08 -.349890369522E-08 2.2134E-14 2.2081E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 39 37 0.870801890910E-09 -.507122714651E-08 6.4651E-15 6.2676E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 39 38 -.945262382582E-09 0.754940443281E-08 5.9410E-15 5.1758E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 39 39 -.121237751474E-09 0.196265320084E-08 5.0847E-15 4.7310E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 40 0 -.621120941252E-08 0.000000000000E+00 2.1557E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 40 1 0.380652399105E-08 -.114742172861E-08 2.1669E-13 2.1594E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 2 -.110969751341E-08 0.440301212199E-09 2.1909E-13 2.1914E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 3 -.117104877446E-08 -.247598508049E-08 2.2510E-13 2.2528E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 4 0.666047782341E-08 -.763263622160E-08 2.3074E-13 2.3090E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 5 0.123177016568E-07 0.113466696326E-08 2.3124E-13 2.3152E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 6 -.146845033394E-08 0.309330455656E-08 2.3555E-13 2.3556E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 7 -.202102208905E-09 0.158221393325E-08 2.4073E-13 2.4051E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 8 0.611483119617E-08 0.465056500080E-08 2.3889E-13 2.3873E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 9 -.308877267455E-08 0.938338131418E-09 2.4423E-13 2.4404E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 10 -.518971091812E-08 0.337994452975E-08 2.4772E-13 2.4787E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 11 0.447258504593E-08 -.356497741539E-08 2.4630E-13 2.4626E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 12 0.709693761431E-08 0.135861334640E-08 2.5453E-13 2.5454E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 13 -.308014817621E-08 -.581727390045E-08 2.5204E-13 2.5268E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 14 -.124130003103E-08 0.112799422845E-08 2.5782E-13 2.5754E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 15 -.506839070049E-08 -.177755086055E-08 2.5820E-13 2.6176E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 16 -.145036856610E-08 -.385124958592E-08 2.5822E-13 2.5913E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 17 0.543518421295E-09 0.135689692591E-09 2.6516E-13 2.6458E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 18 -.979120655836E-09 0.969730843050E-09 2.6269E-13 2.6310E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 19 -.201623353939E-08 -.338238566039E-09 2.6717E-13 2.6697E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 20 -.779183024464E-08 0.762860978819E-08 2.6847E-13 2.6860E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 21 -.348205902834E-08 -.548782069878E-09 2.6906E-13 2.6908E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 22 -.135776018583E-07 -.157611483939E-07 2.7141E-13 2.7167E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 23 -.254780234162E-10 -.129220157155E-07 2.7091E-13 2.7099E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 24 0.423886996815E-08 0.311617632997E-08 2.7444E-13 2.7435E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 25 0.751679058038E-09 -.352190500317E-08 2.7296E-13 2.7259E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 26 0.721015489766E-08 -.462584688512E-08 2.7239E-13 2.7267E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 27 -.136999087555E-08 0.221919043857E-08 2.7177E-13 2.7144E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 28 0.225682819012E-08 0.690487886450E-08 2.6888E-13 2.6929E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 29 0.216709407534E-08 0.263671992478E-08 2.6712E-13 2.6745E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 30 -.899061006853E-10 0.945938190563E-09 2.5862E-13 2.5864E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 31 -.620208323901E-08 -.109830081020E-08 2.4576E-13 2.4730E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 32 -.191237344606E-08 -.579968080506E-08 2.1932E-13 2.1907E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 33 -.143058105281E-08 -.131939863738E-08 1.7698E-13 1.7721E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 34 0.839438582988E-09 0.151283548389E-08 1.3216E-13 1.3178E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 40 35 0.725418781888E-08 -.839655012212E-08 7.5534E-14 7.7543E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 40 36 0.365577332658E-08 0.642098366447E-08 3.6920E-14 3.6825E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 40 37 -.544372362424E-08 0.130490674986E-08 1.1307E-14 1.1221E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 40 38 0.372683140211E-09 0.410068208627E-08 4.4051E-15 5.1171E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 40 39 0.646471633829E-08 0.396513436092E-08 4.0693E-15 4.0185E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 40 40 -.177469747657E-08 0.601937253353E-09 3.8690E-15 3.6180E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 41 0 -.325087081001E-08 0.000000000000E+00 2.2686E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 41 1 -.714241369409E-08 -.329483012849E-08 2.2809E-13 2.2702E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 2 0.360557894373E-08 0.335828250813E-08 2.3026E-13 2.3047E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 3 0.393994311781E-08 0.313865421886E-08 2.3558E-13 2.3572E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 4 -.164967385094E-08 0.373538174656E-08 2.4171E-13 2.4198E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 5 0.459738527896E-08 -.302141657127E-08 2.4523E-13 2.4553E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 6 0.252320675970E-08 0.150939964536E-08 2.4638E-13 2.4642E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 7 -.707478229083E-09 0.265418454192E-08 2.4698E-13 2.4673E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 8 -.160163716834E-08 -.455174886712E-08 2.5326E-13 2.5304E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 9 -.167005447167E-08 0.481437896784E-08 2.5418E-13 2.5393E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 10 0.573246389200E-08 0.148582588268E-08 2.5453E-13 2.5469E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 11 0.258070911898E-08 -.575540495210E-08 2.6178E-13 2.6185E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 12 0.471837756146E-08 0.826975597922E-10 2.5907E-13 2.5911E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 13 -.152153430915E-08 0.640667028780E-08 2.6403E-13 2.6450E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 14 0.414733560247E-08 -.373505001574E-09 2.6572E-13 2.6540E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 15 -.974927257932E-09 0.155067504607E-08 2.6407E-13 2.6728E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 16 -.349002178679E-09 -.450666123528E-08 2.7113E-13 2.7192E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 17 -.194181411580E-08 0.221924641504E-08 2.7011E-13 2.6942E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 18 -.268206931394E-08 0.427367036337E-08 2.7290E-13 2.7330E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 19 -.204485609572E-08 -.132192292576E-08 2.7469E-13 2.7432E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 20 -.187746690127E-08 -.662372872129E-09 2.7464E-13 2.7481E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 21 -.220339742740E-08 -.302178679452E-08 2.7780E-13 2.7792E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 22 -.101456496977E-07 -.238234526958E-08 2.7639E-13 2.7669E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 23 0.488927842104E-09 -.139804363515E-07 2.7821E-13 2.7830E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 24 0.643770468991E-08 -.211147694913E-08 2.7931E-13 2.7920E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 25 0.144896382860E-09 0.283958940023E-08 2.7725E-13 2.7707E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 26 0.613819364735E-08 -.823064334151E-08 2.7671E-13 2.7703E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 27 0.181741889861E-08 -.752775040044E-09 2.7422E-13 2.7377E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 28 -.168970080681E-08 -.489608328242E-08 2.7433E-13 2.7476E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 29 -.505377611083E-08 0.580957696252E-08 2.6766E-13 2.6778E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 30 0.213655920520E-08 -.797886732334E-09 2.5739E-13 2.5801E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 31 0.108096951735E-07 0.553901004690E-09 2.4121E-13 2.4252E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 32 -.223486928929E-08 0.403565360222E-08 2.1716E-13 2.1678E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 33 -.196219135811E-08 0.107554611384E-07 1.7968E-13 1.7989E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 34 -.274481490447E-08 0.486715217247E-08 1.4234E-13 1.4176E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 41 35 -.138498232078E-07 0.411854109624E-08 9.4792E-14 9.7010E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 41 36 0.265704768417E-08 -.299500523738E-08 5.2593E-14 5.2418E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 41 37 0.642248272043E-09 -.101853809828E-07 1.9191E-14 1.9374E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 41 38 -.105582773505E-07 -.153059301275E-08 6.5789E-15 6.7048E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 41 39 -.551409736606E-08 -.260437955786E-08 5.2582E-15 5.2200E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 41 40 0.395246400820E-08 -.477777544381E-08 5.2412E-15 5.7481E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 41 41 0.414023578336E-08 0.579341086264E-08 4.5440E-15 4.3952E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 42 0 -.219793976951E-08 0.000000000000E+00 2.3906E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 42 1 -.227624272464E-08 -.374681750242E-09 2.4029E-13 2.3907E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 2 -.381112332137E-08 -.289085423878E-08 2.4251E-13 2.4267E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 3 -.277971214067E-10 0.995256937061E-08 2.4848E-13 2.4859E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 4 0.710941590087E-08 0.142388244330E-08 2.5366E-13 2.5393E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 5 -.962046569722E-08 -.335641677657E-08 2.5415E-13 2.5440E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 6 0.348833883085E-08 -.121492209838E-08 2.5738E-13 2.5738E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 7 0.408269003195E-08 -.325554838929E-08 2.6283E-13 2.6249E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 8 0.778180357890E-09 0.822038687273E-09 2.6141E-13 2.6116E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 9 -.689305047916E-09 0.162705251351E-08 2.6452E-13 2.6430E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 10 0.344173235313E-08 0.545704332568E-08 2.6979E-13 2.6995E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 11 0.120277991750E-08 0.192789928604E-08 2.6721E-13 2.6712E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 12 0.394602521189E-08 -.100949878270E-07 2.7366E-13 2.7365E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 13 0.710335880898E-09 0.424579429455E-08 2.7399E-13 2.7461E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 14 -.704892802843E-08 0.546241394555E-08 2.7657E-13 2.7632E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 15 -.108980274383E-08 0.735408978177E-08 2.7792E-13 2.8111E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 16 0.417335872411E-08 -.280685367508E-08 2.7719E-13 2.7834E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 17 -.164744950752E-08 -.320858786295E-08 2.8096E-13 2.8050E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 18 -.121498970880E-07 0.184532230092E-08 2.8165E-13 2.8221E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 19 -.282168179709E-08 -.573663176677E-08 2.8158E-13 2.8127E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 20 0.665572457644E-08 0.814447971577E-09 2.8516E-13 2.8530E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 21 0.449474229027E-09 -.451099826087E-08 2.8390E-13 2.8400E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 22 0.996077947005E-09 -.348602232194E-08 2.8366E-13 2.8381E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 23 -.431206189753E-08 -.465730785547E-08 2.8434E-13 2.8443E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 24 0.466282878181E-08 0.133499633236E-08 2.8271E-13 2.8279E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 25 -.408201249970E-08 0.431548728190E-08 2.8298E-13 2.8294E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 26 -.251108016526E-08 -.636082960811E-08 2.8020E-13 2.8047E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 27 0.675309267933E-08 -.233188672899E-08 2.7762E-13 2.7744E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 28 -.505256479743E-08 0.217150546394E-08 2.7642E-13 2.7709E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 29 -.591506962296E-08 -.271459155717E-08 2.6617E-13 2.6630E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 30 0.336535951414E-08 0.697219653087E-09 2.5242E-13 2.5404E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 31 0.609365750050E-08 0.459274922367E-08 2.3364E-13 2.3546E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 32 0.703593857829E-08 0.516493594821E-08 2.1085E-13 2.1080E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 33 0.638945814478E-08 0.634654181471E-08 1.7751E-13 1.7768E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 34 0.300477910380E-08 0.112829323929E-07 1.4377E-13 1.4356E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 35 -.551217579351E-08 0.198184697015E-09 1.0469E-13 1.0745E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 42 36 0.463342338571E-08 -.538984748272E-08 6.6643E-14 6.6516E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 42 37 -.702146809408E-08 0.326367424398E-08 2.8852E-14 2.9367E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 42 38 0.250506149507E-08 -.130477027388E-07 6.1339E-15 6.6020E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 42 39 0.430875670187E-08 0.985027595258E-08 7.3674E-15 7.3543E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 42 40 0.146561978478E-08 -.284937127655E-08 5.3603E-15 5.4471E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 42 41 0.511448494581E-09 -.457664524138E-10 3.7914E-15 4.1960E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 42 42 -.649064026427E-08 0.283187463844E-08 3.6972E-15 3.1879E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 43 0 0.645708139214E-08 0.000000000000E+00 2.5206E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 43 1 -.489197708643E-08 0.418543130563E-08 2.5329E-13 2.5204E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 2 -.944719148772E-08 -.134515917972E-08 2.5542E-13 2.5563E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 3 0.503540349234E-09 -.150118005603E-09 2.6057E-13 2.6077E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 4 0.183179735393E-08 0.918662946289E-09 2.6640E-13 2.6671E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 5 -.888298858310E-08 0.649330224966E-08 2.6940E-13 2.6972E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 6 0.628180844332E-08 0.955516831428E-10 2.7071E-13 2.7071E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 7 -.144494660145E-08 0.578735903137E-08 2.7073E-13 2.7041E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 8 -.560290965443E-09 -.372655462647E-09 2.7596E-13 2.7578E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 9 -.142441781717E-08 -.617159461941E-08 2.7844E-13 2.7813E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 10 -.348944879449E-09 0.142268927290E-08 2.7668E-13 2.7677E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 11 -.525671174480E-08 0.533187439162E-08 2.8356E-13 2.8344E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 12 -.191800896673E-08 0.455862015998E-09 2.8268E-13 2.8267E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 13 0.221330066662E-08 -.144214876967E-08 2.8338E-13 2.8388E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 14 -.508276315337E-08 0.340881633917E-08 2.8771E-13 2.8737E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 15 0.388693827011E-08 0.670929330809E-08 2.8424E-13 2.8812E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 16 0.239222375151E-08 0.807733980756E-09 2.8874E-13 2.8961E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 17 0.444356883541E-08 -.436593182067E-08 2.9122E-13 2.9038E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 18 -.319131948681E-08 -.410615440102E-08 2.8897E-13 2.8945E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 19 -.554504390456E-08 -.695462526187E-08 2.9183E-13 2.9152E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 20 -.869163221294E-09 0.496186154797E-09 2.9178E-13 2.9179E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 21 0.338467939985E-08 0.539476833468E-08 2.9059E-13 2.9059E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 22 0.551289413030E-08 -.224897728027E-08 2.9078E-13 2.9096E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 23 -.914157088110E-11 -.627966066331E-08 2.8889E-13 2.8900E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 24 0.474300643921E-08 -.197103052123E-08 2.8949E-13 2.8927E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 25 0.140852211293E-08 0.324339566911E-08 2.8806E-13 2.8776E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 26 -.389627050543E-08 0.315953591315E-08 2.8248E-13 2.8281E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 27 0.488146707602E-08 0.677652698912E-10 2.7863E-13 2.7900E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 28 -.163601534875E-08 0.834340692373E-08 2.7323E-13 2.7384E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 29 -.242584939771E-08 0.745237395793E-09 2.5988E-13 2.6006E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 30 -.990040117704E-08 -.878242577749E-08 2.4270E-13 2.4442E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 31 -.433788175442E-08 -.751316957226E-09 2.2299E-13 2.2446E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 32 -.382777955852E-08 0.554677631617E-08 2.0047E-13 1.9974E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 33 0.495432965855E-08 -.982467435512E-09 1.7044E-13 1.7032E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 34 0.326167392129E-08 0.745596806978E-09 1.4159E-13 1.4110E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 35 -.200482464345E-08 0.508536321285E-08 1.0616E-13 1.0855E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 43 36 0.607714298258E-09 -.376835685400E-08 7.4638E-14 7.4108E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 43 37 0.345602766356E-08 0.547062929909E-08 3.9851E-14 4.0543E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 43 38 -.648612776596E-08 0.815573974971E-09 6.4644E-15 6.8813E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 43 39 0.472970865228E-08 -.327558792045E-08 8.8280E-15 8.7571E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 43 40 0.110773344963E-07 0.789889304798E-09 7.8157E-15 8.1478E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 43 41 -.196994276223E-08 0.311708538113E-08 5.6409E-15 5.4921E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 43 42 -.854812363074E-08 0.395422695158E-08 4.3353E-15 4.2030E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 43 43 -.335712476969E-08 -.816289015998E-08 3.5680E-15 3.6439E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 0 0.349195324799E-09 0.000000000000E+00 2.6574E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 44 1 0.580230197362E-08 -.216171364229E-08 2.6708E-13 2.6592E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 2 -.623558869297E-09 0.343409614353E-08 2.6909E-13 2.6935E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 3 -.429084763734E-09 -.417400179555E-08 2.7517E-13 2.7529E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 4 0.151547516077E-08 -.125775555568E-08 2.7994E-13 2.8019E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 5 0.510920488079E-09 0.403382737553E-08 2.8059E-13 2.8084E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 6 -.717015812162E-08 0.248534674558E-08 2.8248E-13 2.8254E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 7 0.525413292684E-08 0.954898128411E-08 2.8803E-13 2.8777E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 8 -.459730482007E-08 -.125475169974E-08 2.8730E-13 2.8717E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 9 -.676596208745E-09 -.619264950995E-08 2.8815E-13 2.8789E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 10 -.362815345798E-08 -.609250109890E-08 2.9419E-13 2.9440E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 11 -.124592960120E-08 -.131773433549E-08 2.9206E-13 2.9212E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 12 -.373759874806E-08 -.128567933226E-08 2.9463E-13 2.9482E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 13 0.130923629905E-08 -.637416581759E-08 2.9816E-13 2.9882E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 14 -.607009283375E-08 -.289081016826E-08 2.9725E-13 2.9670E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 15 0.173283072018E-08 -.616453127395E-08 2.9751E-13 3.0061E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 16 0.445828389962E-08 0.634293644055E-08 3.0015E-13 3.0110E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 17 0.462085571921E-08 0.156715377759E-08 2.9859E-13 2.9791E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 18 0.586990945664E-08 -.386339933806E-08 2.9998E-13 3.0041E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 19 0.306967132117E-10 -.477736521005E-08 2.9935E-13 2.9889E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 20 -.210592599382E-08 0.376860489057E-09 2.9832E-13 2.9850E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 21 -.730765971520E-08 0.403932581206E-10 2.9923E-13 2.9940E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 22 0.533932089304E-08 0.130428474386E-08 2.9648E-13 2.9673E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 23 0.145914752945E-08 0.828426020988E-08 2.9406E-13 2.9412E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 24 -.178286994974E-09 -.811103177530E-08 2.9566E-13 2.9511E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 25 0.419000575396E-08 0.120618905763E-09 2.8865E-13 2.8859E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 26 -.418880792483E-08 0.102945333635E-08 2.8037E-13 2.8146E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 27 0.368483057646E-08 -.298345110222E-08 2.7294E-13 2.7332E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 28 -.178807752746E-09 0.532991300520E-08 2.6407E-13 2.6433E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 29 -.685068595511E-08 0.521257942044E-08 2.4761E-13 2.4733E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 30 0.472960003358E-08 0.199185085238E-08 2.2842E-13 2.3029E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 31 -.493469364975E-09 0.269462347695E-08 2.0812E-13 2.0979E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 32 -.406167422451E-08 0.169396645202E-08 1.8686E-13 1.8681E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 33 -.524738743864E-08 -.307952541598E-09 1.5896E-13 1.5966E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 34 -.341689824850E-08 0.595066306927E-08 1.3461E-13 1.3452E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 35 -.751910458710E-08 -.291371686534E-08 1.0217E-13 1.0480E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 44 36 0.253790508438E-08 -.782432956574E-08 7.5888E-14 7.5926E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 44 37 0.108844354368E-07 0.674024939605E-08 4.7838E-14 4.9024E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 44 38 0.351205343981E-08 -.613633152700E-08 7.5927E-15 7.7171E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 39 0.626537300364E-08 0.324325727392E-08 9.5206E-15 9.5004E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 40 -.385558860901E-08 0.659680045571E-08 8.4578E-15 8.5276E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 41 0.320722105152E-08 -.141535328931E-08 7.7232E-15 7.6432E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 42 -.737242848647E-09 -.886871285565E-09 5.8072E-15 5.7493E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 43 0.215928659640E-08 -.301486427434E-08 4.2252E-15 4.0437E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 44 44 0.282166551156E-08 -.170314984017E-08 3.2919E-15 3.2356E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 0 -.325368744522E-08 0.000000000000E+00 2.8024E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 45 1 0.340957889700E-08 -.461262164974E-08 2.8160E-13 2.8042E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 2 0.205667209342E-08 -.330457165087E-08 2.8360E-13 2.8390E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 3 -.135032482322E-08 -.594499701460E-08 2.8905E-13 2.8923E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 4 0.342515810138E-09 -.260060260248E-08 2.9443E-13 2.9473E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 5 0.112219696083E-08 -.145407553088E-08 2.9697E-13 2.9729E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 6 -.621774546992E-08 -.849293494379E-09 2.9838E-13 2.9841E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 7 0.526272617907E-09 0.344141879427E-08 2.9786E-13 2.9746E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 8 -.201667211432E-08 0.951171199315E-09 3.0178E-13 3.0165E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 9 0.836490960202E-08 -.646714438611E-08 3.0561E-13 3.0523E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 10 -.178836982148E-08 -.151497557491E-08 3.0244E-13 3.0271E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 11 0.432518343131E-09 -.286251170421E-08 3.0714E-13 3.0712E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 12 -.393460578027E-08 -.158050738904E-08 3.0938E-13 3.0939E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 13 -.253708003496E-08 -.977077486795E-09 3.0601E-13 3.0649E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 14 0.143423705468E-08 -.360059644443E-08 3.1069E-13 3.1011E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 15 -.384202714560E-08 -.225488224828E-09 3.0808E-13 3.1213E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 16 0.623828683110E-08 0.111788679932E-08 3.0768E-13 3.0880E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 17 0.281068415042E-08 -.168693316243E-08 3.1097E-13 3.1009E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 18 0.120625401223E-08 -.523469632674E-08 3.0839E-13 3.0896E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 19 -.476174762128E-08 -.231671014556E-08 3.0631E-13 3.0602E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 20 0.501190657553E-08 0.332041057197E-08 3.0812E-13 3.0834E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 21 -.334978461037E-08 -.105135033730E-08 3.0542E-13 3.0548E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 22 0.315336642345E-08 0.452772176289E-08 2.9907E-13 2.9892E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 23 0.285220726240E-08 0.414397457882E-08 2.9545E-13 2.9552E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 24 -.106270919430E-07 0.454574504244E-08 2.9316E-13 2.9240E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 25 0.884454473491E-08 -.390375142952E-08 2.8208E-13 2.8221E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 26 -.135561496900E-08 0.622769295536E-08 2.7045E-13 2.7174E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 27 -.653799312751E-08 0.268020111527E-09 2.5974E-13 2.6037E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 28 0.605823870042E-08 -.130026052600E-09 2.4715E-13 2.4757E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 29 -.806806890966E-08 -.315797101145E-08 2.2923E-13 2.2917E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 30 -.178472785670E-08 -.875870389716E-09 2.0967E-13 2.1213E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 31 -.106152755855E-08 -.609916421539E-08 1.9098E-13 1.9234E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 32 -.578328974257E-09 -.290326636505E-08 1.7078E-13 1.7011E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 33 -.193540203548E-08 -.238364190112E-08 1.4647E-13 1.4602E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 34 -.248251673867E-08 0.547915652125E-08 1.2388E-13 1.2318E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 45 35 -.687556355499E-08 0.829442371796E-08 9.6135E-14 9.8175E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 45 36 -.891566318837E-08 0.725733444376E-08 7.3285E-14 7.2739E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 45 37 -.600824189616E-08 0.437968624697E-08 5.1587E-14 5.2473E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 45 38 -.454140317723E-08 0.404104856596E-08 7.5848E-15 7.8610E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 39 -.201431020475E-08 -.757835883573E-08 9.6952E-15 9.8002E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 40 0.345826303445E-08 -.372399581382E-08 9.8497E-15 9.9584E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 41 0.978907665805E-09 0.703741345950E-09 8.7179E-15 8.6080E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 42 -.147900077071E-08 -.109956336320E-07 8.1407E-15 7.9607E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 43 0.433539672081E-08 0.105643959831E-08 5.8894E-15 5.8495E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 44 0.112809441175E-07 0.311601402632E-08 4.8362E-15 4.1718E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 45 45 -.503710429951E-09 0.519706565907E-09 6.4536E-15 6.1801E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 0 -.310698746411E-08 0.000000000000E+00 2.9546E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 46 1 0.176250002461E-08 -.224229875226E-09 2.9682E-13 2.9568E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 2 0.510847342926E-08 0.314842252637E-08 2.9892E-13 2.9920E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 3 -.169998426206E-08 -.138801215529E-09 3.0515E-13 3.0523E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 4 0.109721881793E-08 -.705232107718E-08 3.0971E-13 3.0999E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 5 -.322162137726E-08 -.104918102252E-07 3.1023E-13 3.1055E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 6 -.447567140436E-08 -.237999797279E-08 3.1147E-13 3.1149E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 7 0.549852252759E-08 -.873330219316E-08 3.1653E-13 3.1619E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 8 -.135745797759E-10 0.429219048917E-08 3.1684E-13 3.1671E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 9 0.854927103690E-08 0.520249896076E-08 3.1555E-13 3.1508E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 10 0.301535448653E-08 -.131890925281E-08 3.2112E-13 3.2141E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 11 -.273017222384E-08 -.414028836599E-08 3.2086E-13 3.2083E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 12 -.230084852704E-08 -.109468425673E-09 3.1846E-13 3.1852E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 13 -.531826572363E-08 -.343000309360E-08 3.2312E-13 3.2370E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 14 0.241052088768E-09 -.713108216004E-10 3.2021E-13 3.1911E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 15 -.528384855960E-08 -.780901371300E-09 3.1696E-13 3.2033E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 16 0.207631879022E-08 0.467825679623E-08 3.2180E-13 3.2139E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 17 -.479686728826E-08 0.748323839278E-09 3.2030E-13 3.1916E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 18 0.300158214406E-08 -.461970706950E-08 3.1341E-13 3.1381E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 19 -.822639079360E-09 -.265535391745E-08 3.0994E-13 3.1076E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 20 -.288607145984E-08 -.393238290334E-08 3.1104E-13 3.1127E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 21 -.577188222970E-08 0.309963214307E-08 3.0199E-13 3.0184E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 22 0.690104627941E-08 0.154964166128E-08 2.9368E-13 2.9309E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 23 0.289484379625E-08 0.344922152628E-08 2.8628E-13 2.8632E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 24 -.339697149238E-08 0.615572792520E-09 2.8003E-13 2.7904E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 25 0.383400523951E-08 -.726585386652E-08 2.6607E-13 2.6683E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 26 0.426223837945E-08 0.117151487216E-07 2.5207E-13 2.5349E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 27 -.257867864813E-08 -.264874810126E-09 2.3893E-13 2.3977E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 28 -.658652806637E-09 -.500047922552E-08 2.2431E-13 2.2502E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 29 -.248835038148E-08 -.320661610976E-08 2.0657E-13 2.0664E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 30 -.499940851346E-08 -.709238632089E-08 1.8815E-13 1.9054E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 31 -.187140426710E-08 -.126748243576E-08 1.7112E-13 1.7217E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 32 -.128466673942E-09 -.371128863145E-08 1.5184E-13 1.5179E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 33 0.157472170909E-07 0.407648996037E-09 1.2990E-13 1.3068E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 34 -.163012081156E-08 0.306760740450E-08 1.1015E-13 1.1033E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 46 35 -.589290310398E-08 0.139302505477E-08 8.7678E-14 9.0020E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 46 36 -.104019594272E-08 -.198374961551E-08 6.7856E-14 6.7742E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 46 37 -.414396006801E-08 0.607850927021E-08 4.9156E-14 5.0332E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 46 38 -.561918537309E-08 -.198031611147E-08 8.1221E-15 8.1223E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 39 0.718879403293E-08 -.211713855492E-09 7.8709E-15 7.9742E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 40 0.163061288765E-09 -.107962315903E-08 1.1916E-14 1.1696E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 46 41 -.162899192163E-09 -.623267012202E-08 9.6963E-15 9.5202E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 42 0.114984927682E-08 0.683320471670E-08 9.2734E-15 9.1150E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 43 -.270227255689E-08 0.120673272304E-07 8.1296E-15 8.0390E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 44 0.283448394332E-08 -.303829036243E-08 5.8390E-15 5.7686E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 45 -.993690714444E-09 0.497649357596E-08 5.2274E-15 6.1731E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 46 46 0.289463937379E-09 -.259720709220E-08 3.7093E-15 3.4197E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 0 0.934805994463E-09 0.000000000000E+00 3.1136E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 47 1 -.692840198491E-08 -.130027018602E-08 3.1260E-13 3.1158E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 2 0.435365308778E-08 -.273181055900E-08 3.1467E-13 3.1494E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 3 0.108874509269E-08 0.241422289360E-08 3.2035E-13 3.2034E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 4 0.568228233784E-09 -.174213678415E-08 3.2563E-13 3.2589E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 5 -.177454401091E-08 -.232657158482E-08 3.2792E-13 3.2817E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 6 0.304164406982E-08 -.417037968133E-08 3.2954E-13 3.2951E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 7 0.432703980680E-09 -.243394111758E-08 3.2898E-13 3.2849E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 8 0.645180016919E-08 -.681583414423E-09 3.3169E-13 3.3150E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 9 -.848214919456E-09 0.321490594283E-08 3.3700E-13 3.3658E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 10 0.400546020732E-08 0.387184689378E-08 3.3172E-13 3.3208E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 11 0.447539933701E-09 -.373372671459E-08 3.3115E-13 3.3117E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 12 0.107684950450E-07 0.195570830912E-08 3.3834E-13 3.3834E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 13 -.244642057229E-08 -.727696502930E-09 3.3201E-13 3.3262E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 14 0.105491486275E-08 0.476193670869E-09 3.2775E-13 3.2707E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 15 -.205857257924E-08 0.579011385813E-09 3.2777E-13 3.2576E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 16 -.738729773347E-09 -.139953160072E-08 3.2756E-13 3.2496E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 17 -.207986272586E-08 0.249971758782E-08 3.1718E-13 3.1722E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 18 -.190590231247E-08 0.779369406655E-08 3.0987E-13 3.0943E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 19 0.236737782009E-08 0.361036715541E-08 3.0238E-13 3.0410E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 20 -.102563836826E-07 0.156309347898E-08 2.9826E-13 2.9838E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 21 -.567194286711E-08 -.796050536998E-09 2.8765E-13 2.8712E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 22 -.764177767097E-08 -.499974798878E-09 2.7683E-13 2.7572E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 23 0.324679099236E-08 0.667545616599E-09 2.6537E-13 2.6572E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 24 -.580801226418E-09 -.149902340980E-08 2.5648E-13 2.5568E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 25 -.218514681492E-08 -.912245142285E-08 2.4173E-13 2.4251E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 26 0.826600634638E-08 0.132868866126E-08 2.2691E-13 2.2807E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 27 -.584794799564E-08 -.148967606694E-08 2.1302E-13 2.1379E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 28 0.173138401587E-08 -.599915911640E-08 1.9888E-13 1.9925E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 29 0.540176824817E-08 0.639238859110E-09 1.8134E-13 1.8077E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 30 -.306238334674E-08 0.259000769530E-08 1.6474E-13 1.6703E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 31 0.751865664662E-09 0.170429573391E-08 1.4745E-13 1.4904E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 32 -.157516371367E-08 -.603864775565E-09 1.3186E-13 1.3156E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 33 -.489812251446E-08 0.317076644338E-08 1.1253E-13 1.1245E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 47 34 0.947682544845E-09 0.292868292328E-08 9.6614E-14 9.5902E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 35 -.834457251528E-08 -.698619176392E-10 7.6342E-14 7.7656E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 36 0.724475351006E-08 -.448194984488E-08 6.1034E-14 6.0631E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 37 0.806349167217E-08 0.104231681056E-08 4.1862E-14 4.2549E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 38 0.447282768991E-09 0.160996409268E-08 8.0133E-15 8.4184E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 39 -.129752754808E-08 0.883910556403E-08 7.5937E-15 7.7649E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 40 -.871820862244E-08 0.790203689777E-08 1.4007E-14 1.4141E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 41 -.336377926963E-08 0.454797102220E-08 1.1719E-14 1.1620E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 42 -.189294875444E-08 -.590220389122E-08 1.0940E-14 1.0724E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 47 43 0.154920877260E-08 0.378030077625E-08 9.6340E-15 9.7508E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 44 -.293657608280E-08 0.102108618858E-07 8.3775E-15 8.1468E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 45 0.623312507973E-08 0.341054754068E-08 6.3179E-15 6.3076E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 46 -.662760101368E-09 -.418468669764E-08 4.7377E-15 4.7011E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 47 47 0.269600777384E-08 -.617155340701E-08 3.8277E-15 3.3863E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 48 0 0.351115727662E-08 0.000000000000E+00 3.2657E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 48 1 0.142884836278E-08 0.346301745560E-08 3.2794E-13 3.2687E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 2 0.471292202363E-08 0.289537385818E-08 3.3038E-13 3.3083E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 3 -.122385148594E-08 0.332440310970E-08 3.3711E-13 3.3695E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 4 0.415096797938E-09 -.163564530413E-09 3.4026E-13 3.4063E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 5 0.653108943790E-08 -.212483028515E-08 3.4048E-13 3.4057E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 6 0.591080965296E-08 0.808617897822E-08 3.4235E-13 3.4241E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 7 -.161416772295E-08 0.142203782962E-08 3.4908E-13 3.4865E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 8 0.104761039618E-08 0.398658810169E-08 3.4942E-13 3.4949E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 9 -.149021695602E-08 0.382807968828E-08 3.4075E-13 3.4036E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 10 -.218559576023E-09 0.156969922988E-08 3.3945E-13 3.3906E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 11 0.110827415438E-08 0.127100456748E-08 3.4273E-13 3.4289E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 12 0.111038534370E-09 -.279969335959E-08 3.3920E-13 3.3898E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 13 0.172759075304E-08 -.240866463421E-09 3.2931E-13 3.2833E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 14 -.629027776518E-09 -.683579388555E-10 3.2500E-13 3.2299E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 15 0.420245965578E-08 0.166067791463E-08 3.2140E-13 3.1459E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 16 -.502928949231E-09 0.160320757474E-08 3.1323E-13 3.0980E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 17 0.971467169103E-09 0.344376118293E-08 2.9931E-13 3.0162E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 18 -.684011779896E-09 0.111117030253E-08 2.9159E-13 2.9098E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 19 -.119269868194E-08 0.447473784308E-08 2.7909E-13 2.8185E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 20 -.475810218216E-08 0.463706695076E-08 2.7322E-13 2.7328E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 21 0.153597600929E-08 -.285410074846E-08 2.6195E-13 2.6132E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 22 -.668859434700E-08 0.279802791364E-08 2.4945E-13 2.4803E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 23 -.237540755204E-08 -.356540632333E-09 2.3741E-13 2.3764E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 24 -.481920997692E-08 -.106323414553E-08 2.2583E-13 2.2510E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 25 -.390290454469E-08 0.176829782799E-08 2.1250E-13 2.1279E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 26 -.662622411924E-09 -.669278746341E-08 1.9726E-13 1.9864E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 27 -.847325028645E-08 0.527294472345E-08 1.8485E-13 1.8524E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 28 0.306625584001E-09 -.786505664044E-08 1.7037E-13 1.7026E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 29 0.230397663896E-08 -.593932720470E-08 1.5457E-13 1.5451E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 30 -.110816480416E-08 -.922271294626E-09 1.3931E-13 1.4221E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 31 -.659580099131E-09 -.306188758005E-08 1.2406E-13 1.2594E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 32 0.340932258334E-08 -.210713174267E-08 1.1068E-13 1.1039E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 48 33 0.185511298553E-08 0.160944155331E-08 9.4733E-14 9.4983E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 34 0.381119264660E-09 0.740845508335E-08 8.1340E-14 8.1196E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 35 -.512233912907E-08 0.947400677226E-09 6.0222E-14 6.1918E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 36 -.443461218939E-08 -.704386140966E-09 5.1895E-14 5.1625E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 37 -.158989693449E-08 -.500175650348E-08 3.1614E-14 3.2246E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 38 -.893849734773E-08 -.121841572867E-08 8.3594E-15 8.5555E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 48 39 0.442300284116E-08 -.768132452719E-08 9.4481E-15 9.2586E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 48 40 0.823595508970E-09 0.464953778999E-08 1.5710E-14 1.5485E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 41 -.254491799552E-08 -.991947972006E-08 1.4139E-14 1.3917E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 42 0.237989505184E-08 0.219776728501E-08 1.3502E-14 1.3359E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 43 0.380962041126E-08 0.525666007158E-08 1.1717E-14 1.1858E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 44 0.158225293558E-09 -.932759795252E-10 1.0272E-14 1.0247E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 48 45 0.586948328861E-08 0.468897074569E-08 8.1899E-15 8.2496E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 48 46 -.309872474946E-08 0.882934169112E-08 5.0126E-15 4.9533E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 48 47 0.367459624167E-08 0.390248507076E-08 3.7773E-15 3.6455E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 48 48 0.557046394934E-08 -.209372579484E-08 2.9781E-15 2.7278E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 49 0 0.205416609212E-09 0.000000000000E+00 3.4158E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 49 1 0.664386190992E-08 -.190916895099E-08 3.4068E-13 3.4169E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 2 -.344817713543E-09 0.986663146892E-09 3.4010E-13 3.4027E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 3 0.789712700424E-09 0.168338081075E-08 3.4190E-13 3.4176E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 4 0.713582956944E-09 0.800751144026E-08 3.5418E-13 3.5449E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 5 0.110642877494E-08 0.154399278116E-08 3.5365E-13 3.5307E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 6 -.884166180732E-09 0.166780626715E-08 3.5482E-13 3.5452E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 7 0.324787660393E-08 0.492087938909E-08 3.4926E-13 3.4916E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 8 0.256772984630E-09 0.311102404315E-08 3.3725E-13 3.3759E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 9 0.792447862142E-10 0.530702891285E-08 3.3761E-13 3.3817E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 10 -.731921707142E-08 -.117965830523E-08 3.3513E-13 3.3477E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 11 0.574370164033E-08 0.396942877645E-08 3.2572E-13 3.2597E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 12 -.303905305155E-08 -.307487029002E-08 3.1927E-13 3.1885E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 13 0.392687291245E-08 0.627698125585E-08 3.1166E-13 3.0949E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 14 0.418594117104E-09 -.154761349635E-08 3.0066E-13 3.0204E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 15 -.147732278464E-08 0.622569889957E-09 2.9625E-13 2.8592E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 16 -.490921814835E-10 -.672229287625E-08 2.8455E-13 2.8071E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 17 -.159034246006E-08 -.113952823256E-08 2.7060E-13 2.7357E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 18 -.229051165245E-08 -.311406897019E-08 2.6098E-13 2.5935E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 19 -.217381961244E-08 0.521539398006E-09 2.4791E-13 2.5024E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 20 0.541679133593E-08 -.797637817640E-10 2.4067E-13 2.4013E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 21 -.211070514022E-08 -.470242335201E-08 2.2974E-13 2.2855E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 22 -.657104027782E-10 0.380733302233E-08 2.1557E-13 2.1411E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 23 0.210007464947E-08 -.117187813405E-09 2.0480E-13 2.0501E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 24 0.383926113483E-08 0.126485544274E-08 1.9272E-13 1.9209E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 25 -.524824626869E-08 0.576983627175E-08 1.7856E-13 1.7959E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 26 -.838675583868E-08 -.139036123264E-08 1.6646E-13 1.6794E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 27 -.394442298952E-08 0.257244972200E-08 1.5414E-13 1.5469E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 28 -.377658122734E-08 -.111835949551E-07 1.4142E-13 1.4177E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 29 -.184931888143E-09 -.156250603052E-08 1.2733E-13 1.2720E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 30 0.328960889403E-08 0.369633463111E-08 1.1442E-13 1.1702E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 31 -.537893719557E-09 -.634956361560E-08 1.0246E-13 1.0398E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 49 32 0.168009178228E-08 -.593397533276E-08 8.9860E-14 8.9643E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 33 0.263835962197E-08 -.123891845432E-08 7.8035E-14 7.8473E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 34 0.454516944371E-08 0.101692565425E-08 6.4233E-14 6.3955E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 35 0.324417535316E-08 0.560686960109E-08 4.3094E-14 4.4581E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 36 -.463995395980E-08 0.225177222519E-08 4.0529E-14 4.0364E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 37 -.178889127311E-08 0.126120837430E-08 2.1694E-14 2.1846E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 38 0.287366667063E-08 -.205285800541E-08 8.0495E-15 8.6814E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 49 39 0.190328813218E-08 0.164162444332E-08 1.1878E-14 1.1594E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 40 -.328218612990E-08 0.157953183364E-08 1.5658E-14 1.5778E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 41 -.233192483313E-08 -.237531151426E-08 1.5480E-14 1.5399E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 42 -.286282164351E-08 -.491139511265E-09 1.5607E-14 1.5472E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 43 0.551411279463E-08 -.735236790683E-08 1.4332E-14 1.4512E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 44 0.576067394207E-08 0.789124155474E-08 1.2971E-14 1.2762E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 45 0.116334914231E-08 -.109264843463E-08 1.0801E-14 1.0255E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 49 46 0.245828582967E-08 0.460339107891E-09 7.7983E-15 7.7379E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 49 47 0.324515140385E-08 0.133373861332E-08 4.5375E-15 4.4356E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 49 48 -.157933009239E-08 0.865433271307E-09 2.9414E-15 3.1006E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 49 49 0.254812694107E-08 0.286228671938E-08 2.3495E-15 2.4827E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 50 0 -.485127576558E-08 0.000000000000E+00 3.2680E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 50 1 0.350784220924E-08 0.310537188245E-09 3.2622E-13 3.2769E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 2 -.806308528384E-08 -.163315123310E-08 3.2730E-13 3.2724E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 3 -.884197554791E-10 -.521382355119E-09 3.4538E-13 3.4498E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 4 -.836809464948E-08 0.362754381907E-09 3.4712E-13 3.4650E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 5 0.582873406145E-10 -.274757751347E-08 3.4291E-13 3.4247E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 6 -.332281271348E-09 0.317707950177E-08 3.3046E-13 3.3079E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 7 0.211159410832E-08 0.309864808109E-08 3.2247E-13 3.2303E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 8 -.371890378741E-08 -.229535096028E-09 3.2098E-13 3.2147E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 9 -.225651637135E-08 0.265984976944E-08 3.1540E-13 3.1633E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 10 -.274702620882E-08 -.208657068404E-08 3.0319E-13 3.0256E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 11 -.223212368863E-08 0.170094880090E-08 2.9363E-13 2.9394E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 12 -.551556288362E-08 0.506356913673E-08 2.8708E-13 2.8682E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 13 -.952485606979E-09 -.595259346123E-10 2.7839E-13 2.7577E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 14 -.248224638243E-08 0.332033699919E-08 2.6463E-13 2.6588E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 15 -.330569999459E-08 -.290556021996E-09 2.6144E-13 2.4847E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 16 -.260981383303E-08 -.526230961611E-08 2.4816E-13 2.4371E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 17 0.686832035047E-09 -.298359354735E-08 2.3392E-13 2.3693E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 18 0.196068379294E-08 -.384280343331E-08 2.2357E-13 2.2155E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 19 0.591436155033E-09 0.479346300383E-09 2.1145E-13 2.1437E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 20 0.172661982376E-08 -.215114006384E-08 2.0377E-13 2.0345E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 21 -.290230704335E-09 -.443289963898E-09 1.9239E-13 1.9219E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 22 0.108867705650E-08 -.571019252166E-09 1.7934E-13 1.7855E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 23 -.196879488956E-08 -.544717841157E-08 1.6972E-13 1.7006E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 24 0.930908211854E-08 -.683264753385E-09 1.5788E-13 1.5708E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 25 0.476721277312E-08 0.262027079320E-08 1.4563E-13 1.4643E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 26 -.876214850972E-08 -.190581890897E-08 1.3459E-13 1.3620E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 27 0.591820043725E-08 -.328277744315E-08 1.2467E-13 1.2535E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 28 -.125151252874E-08 0.683803702302E-08 1.1407E-13 1.1424E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 29 0.523245965300E-08 0.155080401916E-08 1.0183E-13 1.0158E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 50 30 0.404050435621E-08 0.697684974018E-08 9.1385E-14 9.3661E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 31 -.285732125990E-08 0.583237097519E-08 7.9979E-14 8.1230E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 32 -.259888385970E-08 0.112805890999E-08 7.0434E-14 7.0688E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 33 -.313074759735E-08 -.281562991140E-08 6.1042E-14 6.1111E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 34 -.158968377043E-08 -.145823674998E-08 4.6263E-14 4.5562E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 35 0.229446742050E-08 0.161368614854E-09 2.8732E-14 2.9399E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 36 -.192419068385E-09 0.654844661193E-09 2.8883E-14 2.8618E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 37 -.114327993521E-08 -.102941256825E-08 1.4343E-14 1.4388E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 38 -.111847483304E-08 -.558881368214E-08 8.3546E-15 8.9324E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 50 39 -.538818062294E-08 0.851710151093E-08 1.2772E-14 1.2545E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 40 0.219085744525E-08 0.530471106790E-08 1.4236E-14 1.4212E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 41 -.632465842169E-08 -.580711267238E-08 1.5339E-14 1.5034E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 42 0.545501305779E-08 -.394370311460E-08 1.6465E-14 1.6198E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 43 0.780079378943E-11 -.158814450150E-08 1.6105E-14 1.6397E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 44 0.899162441600E-09 -.824021009665E-09 1.5525E-14 1.5417E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 45 -.280365384314E-08 0.561142094468E-08 1.3613E-14 1.3255E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 46 -.574435637448E-08 0.218461793975E-08 1.0493E-14 1.0328E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 50 47 -.609385749917E-08 -.113752576109E-07 6.8909E-15 6.8861E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 50 48 0.859091906726E-09 0.699094060688E-09 3.7767E-15 3.7818E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 50 49 0.219565983978E-08 -.479391275177E-08 2.8122E-15 2.7998E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 50 50 0.453425838729E-08 0.254924610219E-08 2.3190E-15 2.4910E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 51 0 -.445618054084E-08 0.000000000000E+00 2.9905E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 51 1 0.176169347368E-08 0.115825240825E-08 2.9916E-13 3.0107E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 2 -.732965936380E-08 -.247969368548E-08 3.0760E-13 3.0751E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 3 -.514369441956E-08 -.683915311787E-08 3.2266E-13 3.2261E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 4 0.207219364797E-08 0.169655379490E-08 3.2137E-13 3.2062E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 5 -.357974725213E-08 -.354586875639E-08 3.0383E-13 3.0364E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 6 0.835038731313E-09 -.340485799159E-08 3.0008E-13 2.9972E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 7 -.101013533282E-08 0.380315359656E-08 2.9610E-13 2.9705E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 8 0.146860821644E-08 0.379769677965E-08 2.8442E-13 2.8463E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 9 0.100015118948E-08 -.323906131207E-08 2.7518E-13 2.7646E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 10 0.251779634204E-09 -.250004848346E-08 2.6595E-13 2.6479E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 11 -.236307089100E-08 0.138644742765E-08 2.5573E-13 2.5557E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 12 -.371820039181E-08 0.866409056812E-09 2.4725E-13 2.4696E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 13 -.993939409411E-08 0.123478725692E-08 2.3784E-13 2.3502E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 14 0.134972266734E-08 0.212883785518E-09 2.2283E-13 2.2505E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 15 0.149863968142E-08 -.219658830810E-09 2.2277E-13 2.0718E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 16 -.207914104322E-09 -.111355794886E-08 2.0812E-13 2.0339E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 17 0.387026679643E-08 -.228522252700E-08 1.9413E-13 1.9754E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 18 0.295017903666E-09 -.118085053186E-08 1.8341E-13 1.8139E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 19 0.497575570037E-09 -.167164867847E-09 1.7337E-13 1.7656E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 20 -.346918882287E-09 0.809101358765E-10 1.6549E-13 1.6503E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 21 0.249723292008E-08 0.674171192694E-09 1.5455E-13 1.5401E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 22 -.365627732768E-08 -.240787604922E-08 1.4391E-13 1.4250E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 23 -.175519899770E-08 0.171768568267E-08 1.3521E-13 1.3527E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 24 0.276054287500E-08 -.634479733528E-08 1.2504E-13 1.2391E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 25 0.705331916157E-08 -.175636369604E-08 1.1456E-13 1.1513E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 26 -.130553804182E-08 -.395694651540E-08 1.0497E-13 1.0631E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 51 27 0.519545332125E-08 -.923909924596E-08 9.7479E-14 9.7859E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 28 0.392100382941E-08 0.660545285370E-08 8.6354E-14 8.6152E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 29 -.185917022709E-08 0.197826654095E-08 7.8352E-14 7.8042E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 30 0.182871883595E-08 0.304308269062E-08 6.8947E-14 7.1175E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 31 0.460329434717E-09 0.644541151254E-08 5.5807E-14 5.6834E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 32 0.734537205903E-09 0.147811306158E-08 5.3048E-14 5.2634E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 33 -.383377139745E-08 0.752942076946E-09 4.3268E-14 4.3569E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 34 -.439583640454E-08 -.870852282612E-09 2.9953E-14 2.9634E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 35 0.266113657749E-08 0.269356820895E-08 1.8604E-14 1.9534E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 36 -.640177993351E-08 0.280397778366E-08 1.9502E-14 1.9436E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 37 -.316515496446E-08 -.563856084139E-08 1.1178E-14 1.1027E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 38 0.193256144610E-08 -.564485164209E-08 8.4531E-15 9.2195E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 51 39 0.599726341494E-08 0.820263487749E-09 1.2580E-14 1.2254E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 40 -.272749288482E-08 -.821730593247E-09 1.2316E-14 1.2368E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 41 0.211468373191E-08 0.119219926240E-08 1.3785E-14 1.3580E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 42 0.660503774657E-09 0.384438206280E-08 1.6353E-14 1.6266E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 43 -.522340314881E-08 0.298398580664E-08 1.6733E-14 1.7057E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 44 0.281326724758E-09 0.127429874829E-08 1.7072E-14 1.7003E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 45 -.887318907562E-08 -.605316113847E-08 1.6108E-14 1.5654E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 46 0.443750477277E-09 0.833972172037E-10 1.3773E-14 1.3642E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 47 0.339897668213E-08 -.215003123886E-08 1.0119E-14 1.0072E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 51 48 0.375966708429E-08 0.181702200381E-08 6.5439E-15 6.5459E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 51 49 -.222978055977E-08 -.193847412224E-08 3.6127E-15 3.5165E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 51 50 -.213411957773E-08 0.548093026255E-08 2.4538E-15 2.0727E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 51 51 0.104814596567E-08 0.301847804313E-08 2.0219E-15 1.9438E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 52 0 0.120714143708E-08 0.000000000000E+00 2.7160E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 52 1 -.175499470340E-08 -.462388815393E-08 2.7323E-13 2.7397E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 2 0.356435509791E-08 0.103508654054E-08 2.8390E-13 2.8348E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 3 0.191485366922E-08 -.679559918372E-09 2.9665E-13 2.9625E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 4 0.306722670279E-08 0.896449126816E-09 2.8220E-13 2.8105E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 5 0.121317319516E-08 -.208001242805E-08 2.7408E-13 2.7351E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 6 -.644403764021E-08 -.363893868285E-09 2.6348E-13 2.6306E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 7 -.461124176909E-08 -.301890677488E-08 2.5002E-13 2.5085E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 8 0.152182873331E-08 -.194750758655E-08 2.4264E-13 2.4288E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 9 -.271840064548E-08 -.449334933797E-08 2.3558E-13 2.3637E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 10 0.338994759244E-08 -.153183964986E-08 2.2212E-13 2.2137E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 11 -.186309955607E-09 -.181481199816E-09 2.1319E-13 2.1283E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 12 -.166128341166E-08 -.336535903960E-08 2.0407E-13 2.0387E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 13 -.335677803518E-08 0.375880949952E-08 1.9479E-13 1.9152E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 14 0.343948357249E-08 -.500732232409E-09 1.8145E-13 1.8401E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 15 0.256486287034E-08 0.230325624018E-08 1.8177E-13 1.6522E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 16 -.117357551134E-08 0.290414204281E-08 1.6728E-13 1.6311E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 17 0.810196206930E-09 0.199550696306E-08 1.5424E-13 1.5695E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 18 0.700159375319E-09 -.859317747148E-09 1.4479E-13 1.4268E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 19 0.897865213839E-09 0.151489484971E-08 1.3563E-13 1.3900E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 20 0.180944023750E-08 -.352743472520E-08 1.2831E-13 1.2791E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 21 0.231149828187E-09 0.371661344016E-09 1.2000E-13 1.1984E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 22 -.330616007300E-08 0.363916643507E-08 1.1011E-13 1.0950E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 23 0.525022471843E-08 0.123800322462E-08 1.0360E-13 1.0414E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 52 24 0.123416217590E-09 0.166904679328E-09 9.4880E-14 9.4260E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 25 0.329437133402E-08 -.272987309054E-08 8.4362E-14 8.5472E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 26 -.557629308004E-08 -.276985151063E-08 7.9730E-14 8.0948E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 27 -.310681387846E-09 -.565885860747E-08 7.0265E-14 7.0660E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 28 0.254171642912E-08 0.113000470805E-08 5.6245E-14 5.6390E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 29 -.656209946089E-08 -.405238888626E-08 5.7185E-14 5.7127E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 30 -.129870619199E-08 -.163088394473E-09 4.5667E-14 4.7985E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 31 0.241498568419E-08 -.183723547606E-08 3.4465E-14 3.5166E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 32 0.420193705963E-08 -.556873597752E-08 3.6122E-14 3.6756E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 33 -.215772170542E-09 -.100088686625E-08 2.7924E-14 2.8182E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 34 0.546377079272E-08 -.130064711884E-08 1.9421E-14 1.8795E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 35 0.659079957485E-08 0.644898681159E-08 1.4492E-14 1.4357E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 36 0.125123683006E-08 0.676477401200E-08 1.4065E-14 1.3927E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 37 -.104660049967E-07 0.285712743391E-08 1.0640E-14 1.0638E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 38 -.119260522164E-08 -.168564663576E-08 8.8854E-15 9.6903E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 52 39 -.138962769143E-08 -.259142516023E-08 1.1127E-14 1.1063E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 40 -.102006536217E-07 -.148086423495E-08 1.1392E-14 1.1640E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 41 -.304538569738E-08 -.350282652174E-08 1.2325E-14 1.2108E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 42 0.120573941383E-09 -.567333570062E-08 1.6133E-14 1.5916E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 43 0.440800057971E-08 -.254557497486E-08 1.6846E-14 1.7012E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 44 -.140846560196E-08 -.219862252100E-09 1.7677E-14 1.7535E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 45 0.174879495323E-08 -.311719908903E-09 1.7253E-14 1.6806E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 46 0.594415255349E-11 0.387481333316E-08 1.5640E-14 1.5437E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 47 -.330881715037E-08 0.429675344440E-08 1.2787E-14 1.2668E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 52 48 0.362033019354E-08 0.289159831943E-08 9.5453E-15 9.5768E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 52 49 -.748226104180E-08 0.685339088209E-08 6.2695E-15 6.2817E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 52 50 -.530106316537E-08 -.878968614486E-09 3.3400E-15 3.3833E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 52 51 -.598516161444E-08 -.173504043104E-08 2.2827E-15 2.6380E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 52 52 -.217614335781E-08 -.444944651203E-08 2.0495E-15 2.3784E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 53 0 0.786121081863E-08 0.000000000000E+00 2.4544E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 53 1 0.188248911722E-08 -.461565417155E-09 2.4603E-13 2.4822E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 2 0.580721703074E-08 -.243764849426E-08 2.5821E-13 2.5773E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 3 -.159204777364E-08 0.138856817874E-08 2.6255E-13 2.6246E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 4 0.456345201505E-08 0.140373380085E-08 2.4067E-13 2.3965E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 5 -.453101428112E-09 -.383003650224E-08 2.2450E-13 2.2378E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 6 0.288155318528E-08 -.103642827377E-08 2.1780E-13 2.1738E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 7 0.112200180660E-08 -.601172925438E-08 2.1157E-13 2.1237E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 8 0.186604201644E-08 0.717430469342E-11 2.0035E-13 2.0049E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 9 0.289738327194E-08 -.287217828892E-08 1.8935E-13 1.8999E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 10 0.945617568971E-08 -.234884828964E-08 1.7892E-13 1.7803E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 11 0.340454483881E-08 0.450564616789E-09 1.6973E-13 1.6973E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 12 0.680126298204E-09 -.596699933266E-08 1.6196E-13 1.6219E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 13 0.462982860978E-08 0.413379786467E-08 1.5307E-13 1.5063E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 14 0.200341661628E-08 -.448106875802E-09 1.3985E-13 1.4174E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 15 0.586104033660E-08 0.529133541061E-08 1.4171E-13 1.2720E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 16 0.746172056006E-09 0.576925676271E-08 1.2847E-13 1.2560E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 17 -.430371174307E-08 0.739703572515E-09 1.1735E-13 1.1988E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 18 0.274544967357E-08 0.191341440538E-08 1.1013E-13 1.0756E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 19 0.348378326103E-08 -.849344934602E-09 1.0197E-13 1.0504E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 53 20 -.112012477850E-08 -.119658467168E-08 9.6050E-14 9.5780E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 21 -.288418724664E-08 0.263701780234E-08 8.5814E-14 8.5786E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 22 0.704708823062E-10 0.568946180301E-08 8.1673E-14 8.0615E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 23 0.435812545718E-08 -.532665217191E-08 7.5739E-14 7.5872E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 24 -.506873101288E-08 0.605658234778E-08 6.4258E-14 6.3296E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 25 -.404540195307E-09 -.610727531709E-08 5.5434E-14 5.9985E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 26 -.705743681765E-09 0.212107181071E-08 5.5699E-14 5.6035E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 27 -.286647999370E-09 -.241764830016E-08 4.3957E-14 4.3994E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 28 0.129783070418E-08 0.296411025486E-08 3.0400E-14 3.0211E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 29 -.642261555986E-08 -.246880637085E-08 3.7314E-14 3.7261E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 30 -.534284776750E-08 -.598338543409E-08 2.6263E-14 2.8247E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 31 -.240313549434E-08 0.190984291379E-08 1.9638E-14 1.9944E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 32 0.201586232828E-08 -.151028471917E-08 2.3505E-14 2.3199E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 33 -.433998158817E-09 0.124686271852E-08 1.7454E-14 1.7468E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 34 -.431598571469E-08 -.772980966367E-08 1.4551E-14 1.3947E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 35 0.117114555692E-08 -.359394948180E-08 1.3176E-14 1.2767E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 36 0.263892432364E-08 0.248686759923E-08 1.2330E-14 1.2173E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 37 -.251458907103E-08 0.152750735976E-08 1.0988E-14 1.0838E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 38 0.108102429065E-08 -.213839607630E-08 9.3203E-15 1.0086E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 39 -.153463116061E-08 -.316200518081E-08 1.0257E-14 1.0101E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 40 -.467969571633E-09 -.893208561523E-09 1.1139E-14 1.1283E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 41 0.744448219633E-08 -.604903433496E-08 1.2163E-14 1.1779E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 42 0.451132844120E-08 0.239061109662E-08 1.5075E-14 1.4849E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 43 -.383834547308E-09 0.433245553322E-08 1.6548E-14 1.6846E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 44 0.168913058487E-08 -.119364618495E-08 1.7707E-14 1.7643E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 45 -.729901828594E-08 0.293627288807E-08 1.7738E-14 1.7344E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 46 -.125033481234E-08 -.476625004794E-08 1.6647E-14 1.6255E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 47 -.136252487166E-08 0.593197672103E-08 1.3948E-14 1.3741E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 48 -.231097164122E-08 -.405923108969E-08 1.1063E-14 1.1113E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 53 49 -.144149693550E-08 -.456133686310E-08 8.4495E-15 8.4875E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 53 50 0.835184204945E-08 0.105144093229E-08 5.7751E-15 5.7508E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 53 51 0.192355505159E-08 0.295067579359E-09 3.3588E-15 3.2742E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 53 52 0.621674918973E-08 0.596953274062E-09 2.1187E-15 1.9850E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 53 53 0.199232786267E-08 0.396922662675E-08 2.2871E-15 1.7496E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 0 0.223055180356E-08 0.000000000000E+00 2.2114E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 54 1 -.162926535655E-08 0.415841858098E-08 2.2156E-13 2.2360E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 2 0.230933180162E-08 -.305669314285E-09 2.3011E-13 2.2957E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 3 0.549358280636E-08 0.150053901542E-08 2.2117E-13 2.2127E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 4 -.118461868403E-08 -.666585292675E-08 1.9574E-13 1.9504E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 5 0.205557043266E-08 -.156969309025E-08 1.8785E-13 1.8745E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 6 0.166705076639E-08 -.241745769147E-08 1.8036E-13 1.7995E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 7 0.302615469737E-08 0.947051611115E-09 1.6708E-13 1.6806E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 8 0.368646840919E-08 -.345257855944E-08 1.5673E-13 1.5665E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 9 0.245300952651E-08 0.707161278016E-08 1.4976E-13 1.5034E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 10 0.434863720869E-08 -.118886339648E-08 1.3854E-13 1.3787E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 11 0.295660583409E-08 0.218692473367E-10 1.2924E-13 1.2923E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 12 -.978154619056E-09 -.316133149393E-08 1.2255E-13 1.2265E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 13 0.428675145085E-08 0.244276505777E-09 1.1436E-13 1.1251E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 14 -.191850496097E-08 0.880596127046E-09 1.0419E-13 1.0653E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 54 15 0.289423512045E-08 -.415757102981E-08 1.0497E-13 9.1482E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 16 -.373038038208E-08 0.257960575743E-08 9.4943E-14 9.1501E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 17 -.328790846448E-09 0.629685687466E-08 8.2737E-14 8.5030E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 18 0.371518949018E-08 -.924951696727E-09 7.2944E-14 6.7603E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 19 0.830979934803E-08 -.169765520174E-08 7.3124E-14 7.5722E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 20 -.221865068609E-08 -.110791904537E-08 6.4968E-14 6.4499E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 21 -.321955839180E-08 0.257833973305E-08 4.9805E-14 4.9856E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 22 -.311301788643E-08 0.358049762465E-08 5.6782E-14 5.6039E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 23 -.132274571743E-09 -.168109468082E-08 4.8203E-14 4.8472E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 24 0.362770671658E-08 0.407222123205E-08 3.4737E-14 3.4748E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 25 -.379389712100E-08 -.203906510066E-08 3.6729E-14 3.8069E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 26 0.446151393686E-08 -.294205863708E-08 3.3314E-14 3.3413E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 27 -.513901867744E-09 0.510351893628E-08 2.3417E-14 2.3282E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 28 -.192689665240E-08 -.463542127164E-09 1.6382E-14 1.6624E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 29 -.158363928182E-08 0.730063612363E-09 2.1326E-14 2.1275E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 30 0.220406902632E-08 0.194810204302E-08 1.4464E-14 1.6423E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 31 0.727047992108E-09 0.434596495194E-08 1.3507E-14 1.3976E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 32 -.319465625542E-08 0.225600367653E-08 1.4849E-14 1.4876E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 33 -.607829894741E-08 0.496385304075E-09 1.2833E-14 1.2833E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 34 -.770854701078E-08 -.460559359554E-08 1.2786E-14 1.2304E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 35 0.134044388340E-08 -.846123060509E-08 1.2626E-14 1.2185E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 36 0.217657124050E-08 -.735148202266E-08 1.1928E-14 1.1893E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 37 0.266315311447E-08 0.217923810011E-08 1.1063E-14 1.1126E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 38 -.407616334275E-09 -.889560434514E-09 9.6154E-15 1.0591E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 39 0.767691853963E-08 -.142515863547E-08 9.7327E-15 9.7440E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 40 0.403304537949E-08 0.494461474325E-09 1.0776E-14 1.1044E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 41 0.577742277496E-08 0.481689952175E-08 1.1770E-14 1.1634E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 42 0.525564938197E-08 0.581788717144E-08 1.3546E-14 1.3599E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 43 -.182157213947E-08 0.391383529287E-08 1.5757E-14 1.5994E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 44 -.178309743510E-08 0.321061959413E-08 1.7484E-14 1.7378E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 45 -.165344460389E-08 -.533052332084E-08 1.7909E-14 1.7383E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 46 0.734437722535E-09 -.413613376885E-08 1.6650E-14 1.6540E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 47 -.314923432544E-08 0.338633704762E-08 1.4505E-14 1.4286E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 48 0.317137524913E-08 0.237083735966E-08 1.1422E-14 1.1463E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 54 49 -.147332591829E-10 0.968593558909E-09 9.1201E-15 9.2506E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 50 -.186938375187E-08 -.180212710819E-08 7.2245E-15 7.2728E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 51 0.490624851818E-08 0.277595714963E-08 5.3202E-15 5.4048E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 52 0.135219799325E-08 -.263403226712E-08 3.0515E-15 3.1132E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 53 -.275439489788E-08 0.337522745952E-08 2.2751E-15 2.4619E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 54 54 -.778223497677E-08 0.509492015403E-08 1.9931E-15 1.8714E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 0 0.999672611279E-09 0.000000000000E+00 1.9843E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 55 1 -.268878856708E-09 0.464466435950E-08 1.9858E-13 2.0053E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 2 -.172447514644E-08 -.224652421545E-08 2.0293E-13 2.0270E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 3 0.542789167555E-08 0.315718542097E-08 1.8794E-13 1.8821E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 4 0.135631980752E-08 0.271539112916E-08 1.5631E-13 1.5578E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 5 0.614767362735E-08 0.303046418397E-08 1.4425E-13 1.4373E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 6 -.834979073207E-09 -.195416410455E-08 1.3835E-13 1.3819E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 7 0.953207846873E-09 0.356008638068E-08 1.3103E-13 1.3182E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 8 -.373909885324E-08 0.861207645344E-09 1.2190E-13 1.2206E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 9 0.371348402188E-08 0.185324482463E-08 1.0958E-13 1.1010E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 55 10 -.102607114635E-08 0.369331343717E-08 9.9272E-14 9.8922E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 11 0.287413989377E-08 0.304438242930E-08 9.5018E-14 9.4951E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 12 0.141124548117E-08 0.324010735806E-08 8.7462E-14 8.7666E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 13 0.202746666255E-08 -.877039329272E-09 7.8662E-14 7.7271E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 14 -.214065875255E-08 0.888823360757E-09 7.3769E-14 7.4003E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 15 -.183655032756E-08 -.512991493065E-08 7.4354E-14 6.2285E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 16 -.301615723373E-08 -.187161609240E-09 6.2344E-14 6.0056E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 17 -.220020323852E-08 -.181482769626E-08 4.8165E-14 4.7978E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 18 -.254645553605E-08 0.634031996604E-08 4.7547E-14 3.7717E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 19 0.179250646401E-08 -.313034435153E-09 4.6221E-14 4.7704E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 20 -.914400592154E-09 0.106491339830E-08 3.5045E-14 3.4567E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 21 0.653263919669E-09 -.305308891215E-08 2.3306E-14 2.4292E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 22 0.403682004891E-08 -.239291876876E-08 3.4105E-14 3.4066E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 23 0.164294753526E-08 0.585413304086E-08 2.5357E-14 2.5505E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 24 0.671076434454E-08 0.375808362377E-08 1.8111E-14 1.8292E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 25 -.486758545839E-08 0.212819666313E-08 2.0806E-14 2.2948E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 26 -.103424637007E-08 -.210058203406E-08 1.8557E-14 1.8197E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 27 -.339131669240E-08 0.348668104262E-08 1.4739E-14 1.4016E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 28 0.310561986065E-09 0.268036019621E-09 1.2933E-14 1.3083E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 29 0.295049767388E-08 -.792283722445E-09 1.3656E-14 1.3746E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 30 0.451863171637E-08 0.179464610323E-09 1.1256E-14 1.2527E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 31 -.217601870178E-09 0.126282858218E-08 1.1851E-14 1.2032E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 32 0.267842301082E-09 0.155903457207E-08 1.1989E-14 1.1643E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 33 0.147967747440E-08 -.535134828418E-10 1.1600E-14 1.1161E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 34 -.381268187394E-09 0.757836043577E-09 1.2100E-14 1.1461E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 35 0.271157984163E-08 -.219222923939E-08 1.2164E-14 1.1664E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 36 0.116708539692E-08 0.453828593432E-08 1.1837E-14 1.1752E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 37 -.289758204677E-08 0.506385043655E-08 1.1280E-14 1.1191E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 38 -.710779737278E-08 0.130197555448E-08 1.0005E-14 1.0842E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 39 -.208736912644E-08 -.476348635484E-08 9.9134E-15 9.8242E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 40 0.321835852386E-08 -.444885744093E-08 1.0261E-14 1.0560E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 41 0.358234047370E-08 0.291275862950E-09 1.1144E-14 1.0853E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 42 0.311726770607E-08 -.222490969679E-08 1.2308E-14 1.2178E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 43 0.535353516758E-09 -.806979483751E-10 1.4948E-14 1.4937E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 44 0.772918842988E-08 -.230655416707E-08 1.6631E-14 1.6421E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 45 0.145297382374E-08 0.438363291290E-08 1.7651E-14 1.7146E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 46 -.352767252579E-08 -.187238895776E-08 1.6869E-14 1.6814E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 47 0.349911589821E-08 -.553194327008E-10 1.5199E-14 1.5025E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 48 -.538817989446E-08 -.186848068148E-08 1.2193E-14 1.2236E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 55 49 0.234720851603E-08 -.439675619411E-09 9.3750E-15 9.4497E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 50 -.444760597484E-08 0.136165326831E-08 7.3855E-15 7.4320E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 51 0.115004718966E-09 0.484310677220E-08 6.1452E-15 6.0382E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 52 -.463213557230E-08 -.371795064139E-08 4.6303E-15 4.6265E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 53 0.329632044061E-09 0.146745474642E-08 3.0541E-15 2.8644E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 54 -.558474977850E-08 -.619230298097E-08 1.7381E-15 1.7110E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 55 55 0.164447185920E-08 -.565480725328E-08 1.8572E-15 1.8842E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 0 -.427064578121E-08 0.000000000000E+00 1.7760E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 56 1 0.341831361646E-08 0.360464052270E-08 1.7697E-13 1.7861E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 56 2 -.314834824338E-08 0.538085920777E-08 1.7642E-13 1.7612E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 56 3 -.250241524008E-08 0.271951760085E-08 1.4423E-13 1.4484E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 56 4 -.950531192265E-09 0.454598721739E-08 1.1759E-13 1.1701E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 56 5 0.244952154387E-08 0.252356194339E-08 1.1314E-13 1.1286E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 56 6 -.886593080507E-08 0.134729424329E-08 1.1077E-13 1.1053E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 56 7 0.299562811715E-08 -.252961957433E-09 9.8372E-14 9.8898E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 8 -.376883730168E-08 -.544879640866E-08 8.6494E-14 8.6266E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 9 0.371128796287E-08 0.105372151997E-08 7.5911E-14 7.5796E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 10 -.335442338491E-08 0.133816728086E-08 5.7733E-14 5.7446E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 11 0.655972071293E-09 0.302633074661E-08 6.5107E-14 6.5024E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 12 -.114430652083E-08 0.479569742880E-08 5.6880E-14 5.7041E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 13 0.896183364747E-09 0.576840838017E-08 4.1981E-14 4.1160E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 14 0.130639044413E-09 0.434944819908E-08 4.7658E-14 4.8213E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 15 -.348823616450E-08 0.119678661360E-08 4.5450E-14 3.6925E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 16 -.402571748597E-09 -.351111846924E-08 3.2459E-14 3.0519E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 17 -.719251423118E-08 0.675388272440E-09 2.1860E-14 2.2824E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 18 -.200939912113E-08 0.306992575204E-08 2.6059E-14 2.0957E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 19 -.147919185793E-08 -.362107415284E-09 2.3617E-14 2.4232E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 20 0.524067125161E-08 -.200209099130E-08 1.8042E-14 1.7819E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 21 0.228760916481E-09 -.424651096387E-08 1.6413E-14 1.7182E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 22 0.167821156865E-08 -.115525737357E-09 1.8474E-14 1.8700E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 23 0.214307080633E-08 0.431771686539E-08 1.5393E-14 1.5482E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 24 0.112938172357E-08 0.503795669200E-10 1.4476E-14 1.4867E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 25 -.160461876232E-08 0.308511564912E-08 1.4902E-14 1.4605E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 26 0.219354825211E-08 -.456120816211E-08 1.3749E-14 1.3309E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 27 0.107401566698E-08 0.306424469493E-08 1.3177E-14 1.2415E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 28 -.352074114679E-08 0.105244245397E-08 1.2219E-14 1.2280E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 29 0.440657441370E-08 -.361146068609E-08 1.1676E-14 1.1816E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 30 -.878117566250E-09 0.245994072020E-08 1.0866E-14 1.1635E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 31 -.124436841746E-08 -.598627838301E-08 1.1059E-14 1.1143E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 32 0.379295291036E-08 -.257125100348E-08 1.1014E-14 1.0847E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 33 0.556366715659E-08 0.215068391870E-08 1.0925E-14 1.0710E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 34 0.339880513297E-08 0.777213761333E-09 1.1140E-14 1.0731E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 35 -.460739436882E-09 0.201644670463E-09 1.1587E-14 1.1149E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 36 0.323693342038E-08 -.413886396738E-09 1.1438E-14 1.1342E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 37 0.231088419265E-08 0.478789780126E-08 1.1204E-14 1.1085E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 38 0.176879347416E-08 0.490505998281E-08 1.0010E-14 1.0906E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 39 -.169811905810E-08 -.421696463616E-08 9.9367E-15 9.9127E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 40 0.202664434890E-08 0.344120602923E-08 9.6021E-15 9.9437E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 41 -.379720248131E-09 0.288949608399E-08 1.0176E-14 9.8993E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 42 -.561056704433E-08 -.977270480014E-10 1.1309E-14 1.1408E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 43 0.736163618058E-09 -.552910438609E-08 1.3461E-14 1.3588E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 44 0.123596084889E-08 0.234267815283E-08 1.5403E-14 1.5430E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 45 0.492797895961E-08 -.928937242173E-09 1.6870E-14 1.6365E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 46 0.339892263712E-08 -.395668585408E-08 1.6730E-14 1.6573E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 47 0.742888795242E-08 0.239977203961E-08 1.5711E-14 1.5411E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 48 -.174426721465E-08 -.294555321633E-08 1.3423E-14 1.3411E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 49 0.421854287715E-08 0.593487471246E-08 1.0276E-14 1.0416E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 56 50 -.493716256176E-08 0.114868059643E-08 7.8009E-15 7.9261E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 51 0.269761413792E-08 -.999519758494E-09 6.0588E-15 6.0254E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 52 -.289876715297E-08 -.182649005500E-08 4.9405E-15 4.9712E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 53 -.977692943414E-08 -.797619710503E-09 4.1856E-15 4.1170E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 54 -.689186656125E-08 -.197744569165E-08 2.6211E-15 2.6034E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 55 -.104305071281E-09 -.394380105568E-08 2.2086E-15 1.9160E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 56 56 0.147970236736E-08 -.951460096427E-09 1.9471E-15 1.7634E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 0 -.269671166216E-08 0.000000000000E+00 1.5581E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 57 1 0.494304212728E-08 -.262374886390E-08 1.5411E-13 1.5590E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 57 2 -.348888261898E-08 0.154132334389E-08 1.5016E-13 1.4982E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 57 3 -.426680846213E-08 0.395148719239E-08 1.1985E-13 1.2008E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 57 4 -.723600379272E-08 -.606034116358E-09 9.0519E-14 9.0158E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 5 -.284420090425E-08 0.543792224176E-09 7.5488E-14 7.4961E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 6 0.132186993040E-08 -.142854376736E-08 7.7202E-14 7.7008E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 7 -.653073797847E-09 0.219565957475E-10 7.0152E-14 7.0421E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 8 0.392626363017E-08 0.900049761304E-08 5.9629E-14 5.9527E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 9 0.217151453835E-08 -.435212125503E-08 4.7091E-14 4.6582E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 10 -.207064176210E-08 0.314288515960E-08 4.1444E-14 4.1608E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 11 -.403115670305E-08 -.715754092535E-08 4.1248E-14 4.1157E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 12 0.605444260104E-08 0.670897217663E-08 2.9062E-14 2.9260E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 13 0.722548675197E-09 -.214487844012E-08 2.5274E-14 2.4756E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 14 -.879184663454E-09 0.556356800595E-08 2.5392E-14 2.6438E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 15 0.745029581766E-09 0.528072700660E-08 2.4231E-14 1.7536E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 16 -.166400043028E-12 -.444200671353E-08 1.8631E-14 1.6933E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 17 -.193961312009E-08 -.247020308278E-08 1.7411E-14 1.7990E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 18 0.112261879286E-08 0.783843886561E-09 1.6415E-14 1.6182E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 19 -.384954284003E-08 0.406045779929E-08 1.4566E-14 1.4655E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 20 0.359125456921E-08 0.311874574496E-08 1.4589E-14 1.4574E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 21 -.612611880780E-09 0.484637231003E-09 1.3623E-14 1.4193E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 22 0.245754182080E-08 0.365113724678E-09 1.3137E-14 1.3577E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 23 -.211514681918E-08 -.913516212300E-09 1.3064E-14 1.3061E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 24 -.258390115738E-08 -.254160611748E-08 1.2656E-14 1.2908E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 25 0.659914174935E-08 -.269549102275E-08 1.2520E-14 1.2032E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 26 -.186207739533E-08 -.479741704527E-08 1.2175E-14 1.1816E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 27 0.739026621177E-09 0.696528892826E-09 1.1976E-14 1.1430E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 28 -.357794793715E-08 0.351367942816E-10 1.1266E-14 1.1190E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 29 -.462354379429E-09 -.276134368221E-08 1.0853E-14 1.0971E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 30 0.637956185263E-08 0.339455148400E-08 1.0494E-14 1.0644E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 31 -.172180572421E-08 -.362136256518E-08 1.0309E-14 1.0181E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 32 0.466312136514E-09 -.164088649066E-08 1.0184E-14 1.0160E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 33 0.989917313772E-09 0.440638068989E-08 1.0198E-14 9.8872E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 34 -.277782569706E-08 0.203489583071E-08 1.0326E-14 9.8923E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 35 0.238816907140E-09 -.371127315581E-08 1.0769E-14 1.0255E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 36 -.143207786372E-08 -.573244131538E-08 1.0693E-14 1.0705E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 37 0.251367041794E-08 0.242339850321E-08 1.0685E-14 1.0630E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 38 0.461823794852E-08 0.453110294298E-08 9.8021E-15 1.0673E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 39 0.112069094314E-08 0.733960871547E-09 9.7003E-15 9.6894E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 40 0.817738881902E-09 -.294286595142E-09 9.0043E-15 9.3964E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 41 -.690981891673E-09 0.210248955358E-08 9.1354E-15 8.9340E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 42 -.935496693929E-08 0.129554320710E-08 1.0441E-14 1.0505E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 43 -.193484737987E-08 -.642119900322E-08 1.1829E-14 1.1776E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 44 0.215159627870E-08 -.141080377967E-09 1.4012E-14 1.3906E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 45 -.150164264441E-08 0.437427795879E-08 1.5938E-14 1.5234E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 46 -.410409238917E-08 0.242081118493E-08 1.6296E-14 1.6244E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 47 -.116233731309E-09 -.103376859946E-08 1.5616E-14 1.5424E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 48 -.131770193097E-08 0.482715749940E-08 1.3830E-14 1.3917E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 49 -.612816176298E-09 -.317244009247E-08 1.0999E-14 1.1150E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 57 50 -.236900324156E-08 -.500603592395E-08 8.6565E-15 8.7596E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 51 -.273940697126E-08 -.508212942861E-08 6.7204E-15 6.5955E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 52 0.336763052957E-08 0.125345031672E-10 4.8852E-15 4.9383E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 53 0.422083335316E-08 -.145207740081E-08 4.1476E-15 3.9969E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 54 -.564757513782E-08 0.344168001448E-08 3.4268E-15 3.3903E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 55 0.278040595917E-08 0.867822436479E-09 2.4964E-15 2.4635E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 56 0.661770692342E-09 0.334747036235E-08 1.5673E-15 1.4620E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 57 57 -.230325642490E-08 -.305461692461E-08 1.4979E-15 1.7355E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 0 -.347134233533E-08 0.000000000000E+00 1.3990E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 58 1 -.198519814139E-08 -.120952437440E-08 1.3784E-13 1.3915E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 58 2 0.214729268673E-08 0.503512945905E-08 1.2936E-13 1.2887E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 58 3 -.417754659078E-08 -.553597289403E-08 8.4663E-14 8.5087E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 4 -.279119613096E-08 -.186804265274E-08 6.0143E-14 5.9528E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 5 0.202273699281E-08 -.525903067445E-09 6.3530E-14 6.3383E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 6 -.903037218130E-09 0.119893616733E-08 6.3577E-14 6.3456E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 7 -.511687019529E-08 0.294878436187E-08 5.1332E-14 5.1387E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 8 0.411542743188E-08 0.311491987030E-08 3.9293E-14 3.9485E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 9 -.418954065840E-08 -.629663830660E-08 3.6846E-14 3.6662E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 10 0.241217669009E-09 -.202228279803E-08 3.1510E-14 3.1677E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 11 -.326378073667E-08 -.453666795187E-08 2.4219E-14 2.4125E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 12 0.188985832996E-08 0.609736867706E-09 2.1960E-14 2.2198E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 13 -.376329475766E-08 0.166143789772E-09 2.0188E-14 1.9779E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 14 0.462656332041E-08 -.174731327281E-08 1.5223E-14 1.5268E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 15 0.165845403304E-08 -.987271255530E-09 1.6626E-14 1.2176E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 16 0.114460689897E-08 -.141246902153E-08 1.4709E-14 1.3311E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 17 0.481428384640E-08 0.222003753616E-08 1.1480E-14 1.2040E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 18 0.460576401037E-08 -.634985885896E-09 1.1356E-14 1.0956E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 19 0.215947057467E-08 -.478589499174E-09 1.1996E-14 1.1853E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 20 -.290270074743E-08 0.101576653770E-08 1.0986E-14 1.0941E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 21 -.365376227491E-09 0.486343997627E-08 1.0573E-14 1.0938E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 22 0.302172061697E-08 -.265005465822E-08 1.0814E-14 1.1155E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 23 -.253083626802E-09 0.260824720025E-08 1.0757E-14 1.0782E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 24 -.313517100900E-08 -.195250958494E-08 1.0358E-14 1.0756E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 25 0.230947684220E-08 -.257631079126E-08 1.0690E-14 1.0339E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 26 -.178588092689E-08 -.104430999501E-09 1.0475E-14 1.0208E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 27 -.387168129660E-08 -.543214251215E-08 1.0498E-14 1.0010E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 28 -.211785699846E-08 -.239693093659E-08 1.0195E-14 9.9423E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 29 0.265884343650E-08 -.280136817261E-08 9.6751E-15 9.7999E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 30 0.606383783153E-08 0.325858633980E-08 9.6941E-15 9.5049E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 31 -.348904235337E-08 0.139388399682E-08 9.4833E-15 9.1820E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 32 0.201962709650E-08 0.102118426599E-08 9.0976E-15 9.2035E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 33 -.609234965788E-09 0.139048470777E-08 9.2841E-15 8.8082E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 34 -.232540526558E-08 0.275136404290E-08 9.3567E-15 8.9949E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 35 -.336778753394E-08 -.373703312517E-09 9.6444E-15 9.1466E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 36 -.410842778611E-08 -.176274054551E-08 9.7272E-15 9.6177E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 37 0.232518842479E-08 -.273162007589E-08 9.9776E-15 9.7305E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 38 -.519834790966E-08 0.321521873752E-09 9.2750E-15 9.9666E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 39 0.566529319172E-09 -.131677041737E-08 9.2135E-15 9.1383E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 40 0.197348342441E-08 -.572372041162E-08 8.4226E-15 8.7701E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 41 0.239829204354E-08 0.313970340908E-08 8.3208E-15 8.0539E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 42 0.865399489712E-09 -.169930366215E-08 9.0289E-15 9.1840E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 43 -.160082706958E-08 -.292005225540E-08 1.0308E-14 1.0262E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 44 0.695592604849E-08 0.673508630954E-09 1.2356E-14 1.2349E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 45 -.120116570730E-08 0.472250471758E-08 1.4541E-14 1.4060E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 46 0.162517896219E-08 0.201711906522E-08 1.5544E-14 1.5406E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 47 0.423175495322E-09 -.806805824832E-09 1.5311E-14 1.5101E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 48 -.160601990128E-08 -.349816061406E-08 1.3992E-14 1.3927E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 49 0.137844432939E-08 -.197795440630E-09 1.1459E-14 1.1529E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 58 50 -.886970131164E-09 0.621599856639E-08 9.0738E-15 9.2001E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 51 0.839561491598E-09 -.338984071544E-08 7.2940E-15 7.2172E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 52 -.648864129581E-09 0.438025734822E-08 5.5780E-15 5.6595E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 53 -.528203790680E-08 -.247839263659E-08 4.2337E-15 4.0888E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 54 -.295009384973E-08 -.774894320045E-09 3.3311E-15 3.3693E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 55 0.183465098578E-08 -.303574848306E-08 3.1804E-15 3.0027E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 56 -.217703059376E-09 -.549553652836E-09 2.1238E-15 2.1297E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 57 -.215011598119E-08 0.870289460822E-09 1.7712E-15 1.7941E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 58 58 -.134432590176E-09 0.259570644326E-09 1.6981E-15 1.4021E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 0 0.354501764199E-08 0.000000000000E+00 1.2301E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 59 1 -.333772840980E-08 -.802431678877E-09 1.2036E-13 1.2178E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 59 2 0.470626297983E-08 0.821355709290E-09 1.0917E-13 1.0879E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 59 3 -.159178726546E-08 -.489663925413E-08 7.1676E-14 7.1569E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 4 0.322199775889E-08 0.388326017268E-08 5.1169E-14 5.0689E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 5 0.244128132388E-09 -.521838766098E-08 5.3570E-14 5.3499E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 6 -.506965407689E-08 0.703591854410E-10 4.7817E-14 4.7757E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 7 -.441751488385E-08 0.578781985675E-09 3.8601E-14 3.8639E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 8 0.366560447375E-08 0.607675020642E-09 3.4971E-14 3.5226E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 9 -.206653075895E-09 -.118115030195E-08 2.6171E-14 2.6183E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 10 0.543618366993E-08 -.518101107803E-08 1.6561E-14 1.7105E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 11 0.564320590510E-10 -.245410835277E-09 1.9946E-14 1.9889E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 12 0.327616320638E-08 -.300083425470E-08 1.5714E-14 1.5616E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 13 -.482919043729E-08 -.915159480705E-09 1.0379E-14 1.0118E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 14 -.142901870465E-08 -.592676306291E-08 1.2030E-14 1.2233E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 15 0.769966323364E-09 -.203336430896E-08 1.2039E-14 8.5943E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 16 -.117966601662E-08 -.117190048676E-08 8.7793E-15 7.9177E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 17 0.142376715348E-08 -.324504439723E-09 7.9138E-15 8.2662E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 18 0.220656663454E-08 -.283275391975E-09 8.2186E-15 8.1672E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 19 0.657420432670E-10 -.263481868738E-08 8.3511E-15 8.2131E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 20 -.364402756462E-08 -.114101399437E-08 8.1925E-15 8.2792E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 21 0.395712586940E-08 -.333737091120E-09 8.3990E-15 8.6480E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 22 0.221756247069E-08 -.416856752682E-08 8.3231E-15 8.7660E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 23 0.440593209080E-08 0.359431991164E-08 8.5374E-15 8.6486E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 24 0.796339336266E-09 -.702212010680E-10 8.4963E-15 8.8936E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 25 0.197371861845E-08 -.202536914214E-08 8.8136E-15 8.3980E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 26 0.838954403644E-09 0.994006318037E-08 8.8934E-15 8.6857E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 27 -.323082434148E-08 -.130437009134E-08 8.8748E-15 8.4896E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 28 0.280384239695E-09 -.384758197824E-09 8.8246E-15 8.5536E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 29 -.411552715544E-08 -.566504019142E-09 8.5042E-15 8.6184E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 30 -.312010040848E-08 -.203641052078E-08 8.7252E-15 8.1311E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 31 -.160189260626E-08 0.410450526693E-08 8.6402E-15 8.0644E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 32 0.155569453181E-08 -.879370224921E-09 8.0692E-15 8.3241E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 33 -.779815225324E-09 -.599187535012E-11 8.2117E-15 7.7797E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 34 0.158051863016E-08 -.568454694823E-09 8.1851E-15 8.1362E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 35 -.240848094476E-08 -.134299370131E-08 8.4404E-15 8.1381E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 36 0.442234379137E-09 0.991691875108E-09 8.5769E-15 8.5393E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 37 -.100742484240E-08 -.149604200795E-08 8.8750E-15 8.7152E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 38 -.103728859826E-08 0.494178403518E-08 8.5171E-15 9.1655E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 39 -.266332677491E-08 0.521396820864E-09 8.4930E-15 8.5193E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 40 -.762168193700E-08 0.548332938020E-09 7.7517E-15 8.2130E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 41 -.726108662117E-09 0.101341239543E-08 7.5452E-15 7.4195E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 42 -.163604238183E-08 -.776018053203E-09 7.5332E-15 7.8726E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 43 -.299976035201E-08 -.300739867064E-08 8.9968E-15 8.9929E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 44 0.538855732817E-08 -.333504051859E-08 1.0690E-14 1.0690E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 45 0.684542352992E-08 -.152221852279E-08 1.2927E-14 1.2560E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 46 0.451961091030E-08 0.217101563882E-08 1.4484E-14 1.4283E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 47 0.508899255845E-09 0.493467795796E-08 1.4971E-14 1.4614E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 48 0.329389887656E-08 0.611935355985E-08 1.3922E-14 1.3888E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 49 -.203356790616E-08 0.380395365488E-08 1.2066E-14 1.2203E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 59 50 -.461558605604E-08 0.223332745406E-08 9.5559E-15 9.6751E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 51 -.614864975643E-09 -.900152515845E-09 7.6186E-15 7.5350E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 52 -.577260795144E-08 -.121131657433E-08 5.9366E-15 6.0068E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 53 -.190981928432E-08 -.395484793332E-08 4.8164E-15 4.5999E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 54 -.338704266014E-08 -.302324709304E-08 3.4962E-15 3.4882E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 55 -.374087370422E-09 0.188033193689E-08 2.8966E-15 2.8492E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 56 0.488499378708E-08 -.297687979249E-08 2.5043E-15 2.4811E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 57 0.442891076634E-08 -.193246031635E-08 1.8932E-15 2.0345E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 58 0.175751304735E-08 -.218737513518E-08 1.5517E-15 1.3987E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 59 59 0.209340137161E-08 0.152434938533E-09 2.2001E-15 1.6980E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 0 -.870172551760E-09 0.000000000000E+00 1.0749E-13 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 60 1 0.187500184719E-08 -.133200353480E-08 1.0486E-13 1.0596E-13 20230101.0000 20230201.0000 yyyy +GRCOF2 60 2 0.348953443494E-08 -.190204896152E-08 9.1881E-14 9.1444E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 3 0.280875056441E-08 -.243296546048E-09 4.6955E-14 4.7142E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 4 0.765641622069E-08 -.207816168929E-09 3.8596E-14 3.8143E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 5 -.218816991650E-08 0.145590456232E-08 4.1057E-14 4.1174E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 6 -.387689781371E-08 -.243932216802E-08 4.1084E-14 4.1008E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 7 -.861230646063E-09 -.224297627219E-08 3.3378E-14 3.3284E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 8 0.317838473825E-08 -.224622693425E-08 2.1614E-14 2.1900E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 9 0.995887713058E-09 0.334734023595E-08 1.7698E-14 1.7670E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 10 0.192726083518E-09 -.109920016078E-08 1.6952E-14 1.7230E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 11 0.287393805396E-08 0.486088102311E-08 1.2530E-14 1.2359E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 12 -.595261119702E-09 -.367489458924E-08 9.1104E-15 9.1596E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 13 -.850496169016E-09 0.477430620620E-09 9.0533E-15 8.8063E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 14 -.223247692323E-08 -.552138954911E-09 6.5403E-15 6.8342E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 15 0.449951266856E-10 -.110377428409E-08 7.2878E-15 4.7440E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 16 -.381812050684E-08 -.893411751596E-09 6.4271E-15 5.8464E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 17 -.458041310105E-08 0.217020752068E-08 6.0079E-15 6.3571E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 18 -.799956231339E-09 -.310743379436E-08 5.8522E-15 6.0260E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 19 0.214896339916E-08 -.302173537413E-08 6.5420E-15 6.4144E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 20 -.789939986476E-09 0.452478766367E-09 6.0275E-15 6.1428E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 21 0.817561760489E-09 -.436927698565E-08 6.3542E-15 6.5852E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 22 0.288972286641E-08 0.393940927158E-08 6.5409E-15 6.9564E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 23 0.634798587861E-08 -.273300426202E-08 6.7600E-15 6.8083E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 24 -.213634535200E-08 0.108623457389E-08 6.8611E-15 7.1468E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 25 0.198061166572E-08 -.210209710857E-09 7.1887E-15 6.8298E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 26 0.402774984674E-08 0.430042583581E-08 7.2119E-15 7.0975E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 27 -.425358711400E-08 0.288268500180E-08 7.4324E-15 7.0457E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 28 0.112170112071E-08 -.223328417849E-08 7.3910E-15 7.0540E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 29 0.214582086391E-08 0.344239623937E-08 7.2785E-15 7.3720E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 30 -.529125960494E-08 -.290171086581E-08 7.6483E-15 6.8969E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 31 0.425626103328E-08 0.439371853872E-09 7.6599E-15 6.9287E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 32 -.545503207084E-09 -.245962704894E-09 7.0721E-15 7.3261E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 33 -.439445976862E-08 0.406256969033E-08 7.2737E-15 6.7989E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 34 0.477486922162E-08 -.237678920771E-08 7.0464E-15 7.0960E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 35 0.662137278097E-10 -.885975474364E-09 7.4863E-15 7.1012E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 36 0.199258989616E-08 -.861371710394E-09 7.4740E-15 7.3548E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 37 -.280716791683E-08 0.803891345283E-09 7.8552E-15 7.5425E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 38 0.185491128137E-08 0.763717229814E-09 7.6724E-15 8.1088E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 39 -.146253516937E-08 -.458022954411E-08 7.7416E-15 7.7977E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 40 -.607713674149E-09 0.132812109671E-08 7.0635E-15 7.5618E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 41 0.340079038817E-09 -.147304767134E-08 6.9496E-15 6.8043E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 42 0.123310493992E-08 0.363671151892E-08 6.4152E-15 6.7858E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 43 0.343447676346E-08 0.483159142016E-09 7.8007E-15 7.6640E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 44 0.153785107257E-08 -.149284481679E-08 8.9933E-15 8.9621E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 45 0.405435508988E-08 -.438723287018E-08 1.1154E-14 1.0748E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 46 0.166570769480E-08 0.224666347260E-10 1.3083E-14 1.2838E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 47 0.129390165571E-08 0.263295329938E-08 1.4172E-14 1.3978E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 48 -.429742382728E-08 -.397792711430E-08 1.3822E-14 1.3889E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 49 0.583957167281E-08 -.382934821478E-08 1.2283E-14 1.2392E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 50 0.237522390441E-08 0.332223494234E-08 1.0229E-14 1.0356E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 60 51 -.246538292806E-08 -.165351864119E-08 8.1475E-15 8.0979E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 52 0.364641253486E-08 0.517441687375E-08 6.3171E-15 6.3932E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 53 -.787994466347E-09 0.532529965297E-08 5.0363E-15 4.8402E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 54 0.459905723982E-08 -.334559125305E-08 3.9789E-15 4.0340E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 55 0.289026585693E-08 0.232702934321E-08 3.1822E-15 3.0603E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 56 -.147095304750E-08 -.215908854651E-08 2.4462E-15 2.4404E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 57 -.199818835708E-08 -.813069569328E-10 2.3465E-15 2.3892E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 58 -.181734054953E-08 0.258472921861E-08 1.6156E-15 1.6540E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 59 -.244866463108E-08 0.860509534769E-09 1.3025E-15 1.5290E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 60 60 0.379281385990E-08 0.765001208213E-11 2.6402E-15 2.8044E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 0 0.347476875640E-08 0.000000000000E+00 9.1651E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 61 1 0.287047081650E-08 0.272648283393E-08 8.9071E-14 9.0046E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 2 -.143636815921E-08 -.142924415389E-08 7.5438E-14 7.5160E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 3 0.902923400609E-09 0.522283442911E-08 4.0442E-14 4.0259E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 4 -.254967500683E-09 -.208475638464E-08 3.5817E-14 3.5417E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 5 0.857306806047E-09 -.127686353175E-08 3.9901E-14 4.0119E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 6 0.423405318938E-08 -.340221456803E-08 3.0198E-14 3.0157E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 7 -.110694205114E-10 0.663175366592E-09 2.1200E-14 2.1103E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 8 0.192614492325E-08 -.193773198003E-08 2.0103E-14 2.0492E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 9 0.234142604459E-08 0.367408164808E-08 1.6477E-14 1.6594E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 10 0.157760612095E-08 0.940433995055E-09 9.4183E-15 9.7066E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 11 0.173328526992E-08 0.290782831695E-08 9.9306E-15 9.7022E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 12 0.122450332259E-08 -.923148330430E-09 8.8559E-15 8.8378E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 13 0.351959839519E-08 -.266699355551E-08 6.0734E-15 5.9537E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 14 -.275441272106E-08 0.900421991635E-09 5.7364E-15 5.9912E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 15 0.146260035415E-08 -.234783530010E-09 6.4898E-15 4.3055E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 16 -.197038118763E-08 -.265425611426E-09 4.9814E-15 4.4809E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 17 -.146760976900E-08 0.167442712604E-09 4.4560E-15 4.7572E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 18 -.471649496310E-08 -.345059091175E-08 4.4377E-15 4.6561E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 19 0.185077320852E-08 0.158945808149E-08 4.7036E-15 4.6388E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 20 0.274839726772E-08 0.152577539744E-08 4.9661E-15 5.1228E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 21 -.316719953153E-08 0.302522345485E-08 5.0269E-15 5.1626E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 22 0.136858352237E-08 0.236424943209E-08 5.0671E-15 5.4297E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 23 -.464379025519E-08 -.965869851945E-09 5.3417E-15 5.3326E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 24 0.294402393307E-08 0.354757049136E-08 5.3129E-15 5.5653E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 25 0.350637855900E-09 -.232643836829E-08 5.6226E-15 5.3720E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 26 0.717333009787E-09 -.548625300923E-08 5.8100E-15 5.7133E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 27 -.478981609334E-09 0.174346304032E-08 6.0879E-15 5.6688E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 28 0.583443672700E-08 -.260657476466E-08 6.0716E-15 5.7704E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 29 0.171270361538E-09 0.239146078612E-08 5.9739E-15 6.0553E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 30 0.165799221891E-09 0.111766503366E-08 6.5267E-15 5.7683E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 31 0.299986994798E-08 0.277048337432E-09 6.5142E-15 5.7416E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 32 -.311198153349E-09 0.602740304864E-08 5.9383E-15 6.4112E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 33 -.321586902106E-08 0.217138860913E-09 6.2330E-15 5.9550E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 34 0.168988068733E-08 -.257573681149E-08 6.0471E-15 6.1978E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 35 -.239089180500E-08 0.132297087831E-08 6.3845E-15 6.0693E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 36 -.721282869859E-09 0.288452253173E-09 6.4303E-15 6.3543E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 37 -.276882047036E-08 -.145627365546E-08 6.7592E-15 6.4589E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 38 -.618271489567E-09 -.651989519439E-08 6.7458E-15 7.1165E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 39 0.337441598850E-08 -.235605644527E-08 6.9417E-15 7.0370E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 40 0.347718296854E-08 -.240126578179E-08 6.4734E-15 6.9657E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 41 0.102538756982E-08 -.241696936813E-08 6.3619E-15 6.2393E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 42 0.364023216621E-08 0.411127317793E-08 5.7194E-15 6.1636E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 43 0.151562646991E-08 0.493991167452E-08 6.4076E-15 6.2859E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 44 0.940525773677E-09 0.403362836346E-08 7.5181E-15 7.5443E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 45 0.250335467349E-08 0.243240019637E-08 9.3264E-15 9.0089E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 46 -.105708515998E-09 0.168056106839E-08 1.1670E-14 1.1384E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 47 -.178024775673E-09 0.401357198473E-08 1.3106E-14 1.2953E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 48 0.238878788145E-09 0.543707240881E-09 1.3530E-14 1.3475E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 49 0.108450361967E-08 -.779185130630E-09 1.2204E-14 1.2273E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 50 -.165607321225E-08 0.260444457167E-08 1.0497E-14 1.0565E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 61 51 -.385175085288E-09 0.139758501435E-08 8.7147E-15 8.6022E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 52 -.349323960815E-08 -.176467058719E-08 6.8679E-15 6.9338E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 53 -.193129429487E-08 -.441837704585E-08 5.4615E-15 5.2512E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 54 0.345191504981E-08 -.463375116974E-09 4.1554E-15 4.1395E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 55 0.179423060728E-08 -.107691524391E-08 3.4673E-15 3.4017E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 56 0.356757858764E-08 0.329932213007E-08 2.6512E-15 2.6463E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 57 0.444149492874E-08 0.350988257525E-08 2.1995E-15 2.2439E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 58 -.292086742395E-08 0.676350774231E-08 1.9729E-15 1.9895E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 59 -.423184983810E-08 -.211023350935E-08 1.6272E-15 1.6230E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 60 -.353846691624E-08 -.359516015119E-08 1.3085E-15 1.5203E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 61 61 -.212619547963E-08 0.420787308031E-09 1.7585E-15 1.9239E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 0 0.137618570295E-08 0.000000000000E+00 7.9396E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 62 1 0.854934007980E-09 0.283400477907E-08 7.7048E-14 7.7824E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 2 -.412581015249E-08 0.645850196197E-08 6.3249E-14 6.2970E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 3 0.424218581379E-08 0.196993373663E-08 2.7480E-14 2.7587E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 4 -.160058149057E-08 -.388457962095E-09 3.0450E-14 3.0148E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 5 0.288642364128E-08 0.345539944389E-08 2.7481E-14 2.7787E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 6 0.115909375456E-08 -.549208515646E-08 2.6136E-14 2.6090E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 7 -.136135180198E-08 0.254257572575E-08 2.2054E-14 2.2033E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 8 0.139533719770E-08 -.992964720656E-10 1.3941E-14 1.4234E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 9 0.243305738433E-08 -.695457459548E-09 9.3190E-15 9.3173E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 10 -.243322040146E-08 0.616921343029E-08 9.2558E-15 9.4025E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 11 0.213316228401E-08 0.320305178131E-08 7.6928E-15 7.4358E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 12 0.314519428997E-08 0.373822764195E-09 5.1221E-15 5.1451E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 13 0.453376327279E-08 -.344308053731E-08 4.7498E-15 4.6085E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 14 0.313957568158E-08 0.839243516816E-08 4.1506E-15 4.3661E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 15 -.119921377812E-08 -.222373273940E-08 4.9454E-15 2.7869E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 16 0.160430831671E-08 0.424041530755E-09 4.0579E-15 3.6308E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 17 0.940972210798E-09 -.153506857046E-08 3.6514E-15 3.8912E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 18 0.411984225694E-09 -.110104215759E-09 3.6955E-15 3.9185E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 19 0.178648884324E-08 -.203322033603E-09 4.0225E-15 3.8371E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 20 0.175008344892E-08 0.245776179147E-08 3.8662E-15 3.9114E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 21 -.232719108858E-08 0.465777186415E-09 4.0688E-15 4.0370E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 22 -.287547268365E-09 -.118254743969E-08 3.9488E-15 4.2182E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 23 -.378585440394E-08 -.205533113181E-09 4.2874E-15 4.2513E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 24 0.523251604601E-08 0.789894768826E-09 4.1881E-15 4.4832E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 25 -.231194244032E-08 -.347578942718E-09 4.5890E-15 4.3662E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 26 -.272450229391E-08 -.419874507349E-09 4.7263E-15 4.6039E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 27 0.506725191333E-09 0.224502240615E-08 4.8552E-15 4.4994E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 28 0.486560159755E-09 -.547352340351E-09 4.9335E-15 4.7390E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 29 0.115425276757E-08 0.255585758727E-08 4.9016E-15 4.9168E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 30 -.423762926447E-08 -.162619140582E-08 5.4227E-15 4.6401E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 31 -.217086699294E-09 -.386054936650E-08 5.5329E-15 4.7851E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 32 0.892248239660E-09 0.617323329483E-08 4.9501E-15 5.3141E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 33 -.310133337746E-08 -.407662280027E-08 5.3711E-15 4.9456E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 34 0.434437844744E-09 -.195033905899E-08 5.1451E-15 5.2340E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 35 0.466014203970E-08 -.736123859734E-10 5.3262E-15 5.1201E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 36 0.184946153038E-09 0.146340294495E-08 5.3753E-15 5.3364E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 37 0.421011080416E-08 0.271396338051E-08 5.8158E-15 5.5111E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 38 -.280444836405E-08 0.294623480098E-09 5.8160E-15 6.0332E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 39 0.224143480926E-08 0.756857827325E-09 6.1267E-15 6.1740E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 40 -.334124864114E-08 -.350776912924E-08 5.8157E-15 6.3128E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 41 -.389231513232E-08 -.313421810035E-08 5.8376E-15 5.7993E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 42 0.455333095064E-08 -.333614165063E-08 5.1568E-15 5.6958E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 43 -.146412639823E-08 0.524648099988E-09 5.3992E-15 5.2509E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 44 0.227381979384E-08 0.109126918125E-08 6.2207E-15 6.2978E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 45 -.289808702533E-10 -.279831279197E-08 7.9962E-15 7.7647E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 46 -.373022022250E-09 0.139682299653E-08 9.8927E-15 9.7073E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 47 -.145406038020E-08 0.270254001809E-08 1.1797E-14 1.1619E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 48 -.194563802478E-08 0.228114288417E-08 1.2912E-14 1.2848E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 49 -.449134271193E-08 -.121907574171E-08 1.2108E-14 1.2222E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 50 -.306467440847E-09 0.197420751175E-08 1.0711E-14 1.0800E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 62 51 -.424996153721E-08 -.454401904808E-08 9.0215E-15 8.9934E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 52 0.502564972906E-08 -.454412700351E-08 7.3147E-15 7.4278E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 53 -.908302424554E-09 -.257297073492E-08 5.9267E-15 5.7360E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 54 0.365701405926E-08 0.377559600795E-08 4.6201E-15 4.6273E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 55 0.502216434672E-08 -.659443635347E-09 3.6299E-15 3.5570E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 56 -.209308323107E-08 -.253298722741E-10 2.9670E-15 2.9581E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 57 0.366088500110E-09 -.442615658024E-08 2.4468E-15 2.4633E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 58 -.142617029159E-08 -.194676288343E-08 1.9207E-15 1.9686E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 59 -.312821552097E-09 -.132216610549E-08 1.7953E-15 1.9364E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 60 0.119830776514E-08 0.190932087007E-08 1.5585E-15 1.7103E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 61 0.352809946567E-08 0.332963154269E-08 2.1146E-15 1.9314E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 62 62 -.206607701729E-08 0.119549635268E-09 2.4217E-15 2.3133E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 0 -.131443759288E-08 0.000000000000E+00 6.7123E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 63 1 -.295119993560E-08 0.258490515741E-08 6.5035E-14 6.5660E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 2 -.419756274125E-09 0.531878351053E-09 5.1781E-14 5.1625E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 3 -.462100984262E-09 -.168727784659E-08 2.3053E-14 2.2905E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 4 -.159141027976E-08 0.543573004403E-08 2.8375E-14 2.8130E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 5 0.118155720361E-08 -.106244774366E-08 2.9225E-14 2.9582E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 6 0.108914248219E-08 0.383497939356E-08 2.0138E-14 2.0097E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 7 -.109232265709E-08 0.152986199122E-08 1.2590E-14 1.2578E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 8 -.293135448067E-08 0.336017920970E-08 1.1786E-14 1.2157E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 9 0.958366935376E-09 -.643766649013E-08 1.0499E-14 1.0525E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 10 0.506611985182E-09 0.119380138695E-08 6.2736E-15 6.3124E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 11 0.187967353480E-08 0.165132410022E-08 5.4860E-15 5.1853E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 12 0.142330447144E-09 0.105748871458E-09 5.1505E-15 5.1782E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 13 0.216919929228E-08 -.240937586018E-09 4.0349E-15 3.9123E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 14 0.623643778699E-08 -.472163364344E-09 3.4835E-15 3.6117E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 15 -.229752444614E-08 0.210471904421E-08 4.3938E-15 2.5057E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 16 0.619305946219E-08 0.126372370709E-08 3.4987E-15 3.0853E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 17 0.722798106969E-09 -.370862483248E-08 3.0457E-15 3.2081E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 18 -.573440606383E-09 0.120122456497E-08 3.1659E-15 3.2940E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 19 -.173919178387E-08 0.113580151916E-08 3.4937E-15 3.2361E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 20 0.157674085255E-08 -.166438715030E-09 3.2969E-15 3.3267E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 21 0.130078069429E-08 -.234542280540E-08 3.4227E-15 3.4017E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 22 -.136818002190E-08 -.924110561223E-09 3.2598E-15 3.5775E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 23 0.682895007635E-10 0.605619701719E-09 3.4324E-15 3.4583E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 24 -.264540413512E-09 -.291826587237E-08 3.4655E-15 3.7423E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 25 -.164457753955E-08 0.432666022580E-08 3.6396E-15 3.3862E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 26 -.120136675799E-08 -.253100465525E-08 3.9258E-15 3.7551E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 27 0.103634423415E-08 0.723220555809E-09 3.9942E-15 3.6824E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 28 -.383973607333E-08 0.347074346619E-08 3.9813E-15 3.8039E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 29 0.111669102628E-09 0.160427480555E-08 4.0894E-15 4.0066E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 30 -.311024749073E-08 -.238611235776E-08 4.4216E-15 3.7858E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 31 -.685577806253E-09 -.105016973421E-08 4.5855E-15 3.9022E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 32 -.233683437365E-08 0.238733247478E-08 4.1186E-15 4.4199E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 33 -.501475907108E-08 -.101103716188E-08 4.4105E-15 4.0584E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 34 0.220771075244E-08 -.231733984422E-08 4.2858E-15 4.5398E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 35 0.294930772142E-08 0.153324835037E-08 4.4009E-15 4.2867E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 36 0.536530359536E-09 -.222467349542E-08 4.4981E-15 4.3638E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 37 0.169412307706E-08 0.455202682287E-08 4.9251E-15 4.5718E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 38 0.584740703509E-09 -.969613238368E-09 5.0055E-15 5.1054E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 39 0.121764248873E-09 0.213245792798E-08 5.2181E-15 5.3449E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 40 0.134102221241E-09 0.204158941449E-08 5.1739E-15 5.6827E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 41 -.397615779189E-08 -.140080288835E-08 5.3657E-15 5.3504E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 42 -.720875701290E-09 0.185104629090E-10 4.7637E-15 5.2764E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 43 -.431476348286E-08 0.328457821283E-08 4.7927E-15 4.5923E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 44 -.674791906377E-08 -.206093985446E-08 5.2570E-15 5.2389E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 45 -.814965845284E-09 -.389710619337E-08 6.4778E-15 6.3040E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 46 0.459643800362E-09 0.287665238776E-09 8.4165E-15 8.1946E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 47 0.125338564510E-08 -.688452823759E-09 1.0309E-14 1.0152E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 48 0.563706076253E-08 -.176423867387E-08 1.1878E-14 1.1864E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 49 0.108608974029E-08 0.181293922163E-08 1.2002E-14 1.2083E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 50 0.410607397169E-10 0.142062960130E-08 1.0769E-14 1.0866E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 63 51 0.195859808197E-08 -.281971388857E-09 9.4046E-15 9.3756E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 52 -.253790049212E-09 0.568511949398E-08 7.7280E-15 7.7937E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 53 -.261316795249E-08 0.605826077424E-09 6.4063E-15 6.1430E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 54 0.347414497567E-08 -.365451386476E-08 4.9992E-15 4.9651E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 55 -.607048281372E-08 -.900887563519E-09 4.0465E-15 3.9705E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 56 0.285125482523E-09 -.529372948794E-08 3.1153E-15 3.1078E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 57 -.150905544392E-08 0.179384579901E-08 2.6352E-15 2.6464E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 58 0.462907286209E-09 -.156475925494E-08 2.1210E-15 2.1588E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 59 0.147294058808E-08 -.468812087487E-08 1.9456E-15 2.0615E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 60 0.368825760115E-08 -.458072222247E-09 1.5717E-15 1.8009E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 61 -.319694427694E-08 0.418096075934E-08 1.2219E-15 1.3169E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 62 -.445135728738E-08 0.944636794358E-09 1.4629E-15 1.9608E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 63 63 -.473135125949E-09 -.162392154910E-09 1.7073E-15 1.6106E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 0 -.413269513786E-08 0.000000000000E+00 5.8129E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 64 1 0.472156696047E-08 -.213038498968E-08 5.6308E-14 5.6813E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 2 -.944005334038E-09 0.414795712489E-08 4.3596E-14 4.3433E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 3 -.762716540391E-09 -.837915454025E-09 1.8123E-14 1.8214E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 4 -.247543353976E-08 0.247986971235E-08 2.4959E-14 2.4758E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 5 -.129926880064E-08 -.196429852736E-08 1.9154E-14 1.9497E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 6 -.104186902084E-08 -.590921073873E-09 1.6767E-14 1.6727E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 7 -.307296759640E-09 0.660291505819E-09 1.4558E-14 1.4601E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 8 -.300897897237E-09 0.665104190235E-09 9.5057E-15 9.7432E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 9 -.101626221437E-08 -.101539764458E-08 5.6142E-15 5.5739E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 10 0.133099353533E-08 0.807695800556E-09 5.2857E-15 5.3911E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 11 -.170284165649E-08 -.389747866279E-08 4.8874E-15 4.7374E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 12 0.178402102497E-08 0.252185126742E-08 3.3621E-15 3.4840E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 13 -.110965055387E-08 0.587313914392E-09 3.0550E-15 2.9959E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 14 -.654103205979E-10 -.189937832310E-09 2.9165E-15 3.0215E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 15 -.185672935946E-08 -.154620157874E-08 3.5800E-15 1.9340E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 16 0.208151155904E-08 -.169457344335E-08 2.9006E-15 2.5961E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 17 -.117290827531E-08 -.182612473517E-08 2.5461E-15 2.7132E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 18 0.123707107592E-08 0.258208339856E-08 2.7512E-15 2.8773E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 19 -.852514562829E-09 0.196403675129E-10 3.0130E-15 2.7438E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 20 -.258448994173E-08 -.203785473544E-08 2.8797E-15 2.9138E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 21 0.116443267313E-08 0.502960286583E-11 2.9506E-15 2.9090E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 22 0.137966234223E-08 0.159110363747E-08 2.8725E-15 3.1150E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 23 -.358762489632E-08 0.924289324254E-11 3.0012E-15 2.9272E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 24 -.339104633740E-08 -.289778618062E-08 2.9733E-15 3.1323E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 25 0.127848611255E-08 -.300585787313E-10 3.2412E-15 2.9378E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 26 -.119196925427E-08 -.217812027930E-08 3.1416E-15 3.0230E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 27 -.484455732401E-10 -.296161510531E-08 3.3170E-15 3.1010E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 28 -.237693541714E-09 0.421133334623E-08 3.3348E-15 3.1947E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 29 0.411534638711E-10 -.251656593446E-08 3.4066E-15 3.3427E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 30 -.279951928511E-08 0.648399716440E-09 3.6729E-15 3.2298E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 31 0.262191526000E-08 0.118999905170E-08 3.7277E-15 3.2091E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 32 0.614753250000E-09 0.308317897931E-08 3.4269E-15 3.7196E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 33 -.269904003036E-08 0.536367924624E-09 3.6545E-15 3.4171E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 34 0.154057664007E-08 -.261933604815E-08 3.4707E-15 3.6965E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 35 -.645454799615E-08 0.193148696718E-08 3.6833E-15 3.5393E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 36 -.134764264182E-08 -.100422832800E-08 3.6373E-15 3.5767E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 37 0.173490296692E-08 -.192215330149E-09 3.9705E-15 3.7425E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 38 0.239516076003E-08 -.215393455592E-08 4.1489E-15 4.2307E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 39 0.502044139687E-09 -.318948477470E-08 4.3721E-15 4.5483E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 40 0.447819763814E-08 0.164645359069E-08 4.4828E-15 4.9231E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 41 0.150896418947E-09 -.649534240820E-09 4.8364E-15 4.8438E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 42 0.970614819842E-09 -.111166470933E-08 4.3545E-15 4.8731E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 43 0.650765857425E-09 0.182185741812E-08 4.4467E-15 4.2587E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 44 -.563589979066E-08 0.269727306548E-08 4.4236E-15 4.5050E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 45 -.109320621828E-08 -.259920247984E-08 4.9431E-15 4.9397E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 46 0.250955440047E-08 0.300638602431E-09 6.9072E-15 6.7386E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 47 -.281164203455E-08 0.450077011063E-09 8.8656E-15 8.7802E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 48 0.151779437936E-09 -.314172991189E-08 1.0618E-14 1.0577E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 49 0.203186827624E-09 0.167697033747E-08 1.1514E-14 1.1579E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 50 -.525034130055E-08 -.290937939239E-08 1.0763E-14 1.0890E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 64 51 0.501804036564E-09 0.238872373503E-09 9.4485E-15 9.3784E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 52 0.497817936932E-08 -.439979355487E-08 8.1365E-15 8.1621E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 53 0.273328659885E-08 0.237230483718E-08 6.8448E-15 6.6138E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 54 -.506192950024E-09 -.201085428107E-08 5.4277E-15 5.4489E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 55 0.220048012707E-08 0.237820255431E-08 4.3474E-15 4.3052E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 56 0.250675271094E-08 0.367050894076E-08 3.5012E-15 3.5284E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 57 -.247490933675E-08 0.347701857980E-09 2.7867E-15 2.8200E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 58 -.880541732132E-09 -.609147747960E-09 2.3282E-15 2.3584E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 59 -.727437454483E-08 -.254638583389E-09 1.9859E-15 2.1022E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 60 -.766399153301E-09 0.131695982912E-08 1.7405E-15 1.8751E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 61 -.434083332039E-08 -.323021733837E-08 2.2366E-15 2.0541E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 62 -.132141431807E-08 -.112429499456E-08 1.2586E-15 1.3200E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 63 0.300936872888E-08 -.508650534135E-08 1.2108E-15 1.2219E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 64 64 0.549471496589E-08 -.148468198186E-08 1.7130E-15 1.7549E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 0 0.688654778290E-09 0.000000000000E+00 4.9203E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 65 1 -.314783008017E-08 -.371590808695E-08 4.7658E-14 4.8071E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 2 -.949467621120E-10 -.642520690046E-09 3.5922E-14 3.5836E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 3 -.204723929004E-08 0.630869179862E-09 1.3928E-14 1.3896E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 4 0.650208510974E-10 -.236617752891E-08 2.2936E-14 2.2757E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 5 -.265732481004E-08 -.831177686495E-09 2.1273E-14 2.1652E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 6 0.943380769575E-09 -.250395928332E-09 1.4078E-14 1.4012E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 7 -.271929533841E-08 -.117228440874E-08 8.2202E-15 8.2584E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 8 0.104014129060E-08 0.429662490196E-10 7.2146E-15 7.4318E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 9 0.398229546066E-09 0.152695989606E-08 6.8219E-15 6.7939E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 10 0.241245711062E-08 -.179341833971E-08 4.2632E-15 4.3443E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 11 -.483214463777E-08 -.288106042220E-08 3.4473E-15 3.2341E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 12 0.177757073356E-08 0.229962493978E-08 3.2278E-15 3.3185E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 13 -.158313686590E-08 0.845425899476E-09 2.8663E-15 2.7860E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 14 -.730245876407E-08 -.444075762594E-08 2.5509E-15 2.5839E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 15 0.952560175168E-09 0.281584345417E-08 3.1212E-15 1.6327E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 16 -.329204016977E-08 -.335828127733E-08 2.5917E-15 2.2953E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 17 -.155015093494E-08 -.412384032931E-08 2.2732E-15 2.3572E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 18 -.261309511818E-08 -.936585397793E-09 2.3368E-15 2.3829E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 19 -.236983197601E-08 0.250189998439E-09 2.5812E-15 2.3346E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 20 -.353393239763E-08 -.618844728461E-09 2.4678E-15 2.5804E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 21 0.306629039542E-08 -.315952128055E-10 2.5562E-15 2.5477E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 22 0.312305899886E-08 -.323142268830E-09 2.4306E-15 2.6630E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 23 0.147600533072E-08 0.399150290247E-08 2.6458E-15 2.5844E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 24 -.140587863501E-08 0.176974579186E-09 2.4945E-15 2.6708E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 25 0.601446901198E-09 -.175844399976E-08 2.7438E-15 2.5528E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 26 -.233996937341E-08 -.167634025270E-08 2.6918E-15 2.6649E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 27 -.103859158637E-08 -.248475580412E-08 2.8224E-15 2.6508E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 28 0.404320324699E-09 0.262106448442E-09 2.8740E-15 2.7933E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 29 -.181729217723E-08 -.310953639664E-08 2.8062E-15 2.7363E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 30 0.490446527368E-08 -.135946523399E-09 3.0571E-15 2.7014E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 31 0.153983712103E-08 0.158347227528E-09 3.1102E-15 2.6644E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 32 -.201205927523E-09 0.144981422887E-08 2.9160E-15 3.0440E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 33 0.110482185939E-08 0.440558868993E-09 3.1225E-15 2.8542E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 34 0.635678360538E-09 -.230028280842E-08 2.9008E-15 3.0720E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 35 -.225275779087E-08 0.361782689467E-08 3.0351E-15 2.9036E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 36 -.222022862032E-08 -.155725605043E-08 2.9992E-15 3.0184E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 37 0.328022223051E-08 -.200755926969E-08 3.1929E-15 2.9780E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 38 -.142972169518E-08 0.335950883883E-08 3.4463E-15 3.4489E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 39 -.149220050179E-08 0.499077908044E-09 3.6531E-15 3.8231E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 40 -.342879838913E-09 -.435190609002E-09 3.8996E-15 4.1953E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 41 0.202920587200E-08 -.158237169649E-08 4.2143E-15 4.2352E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 42 0.310826129877E-08 -.488362372610E-08 4.0284E-15 4.4284E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 43 0.337534732635E-08 0.189009800497E-09 4.2461E-15 3.9892E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 44 0.132930194885E-08 0.250493433712E-08 3.9946E-15 4.0117E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 45 -.295415009590E-08 0.204678181788E-08 3.9153E-15 3.9568E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 46 0.329934243702E-08 0.151587856882E-08 5.7630E-15 5.6663E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 47 0.524953782068E-11 0.228502043180E-08 7.3376E-15 7.2952E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 48 0.142919071229E-08 -.162769029091E-08 9.3061E-15 9.2847E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 49 -.326044330508E-09 0.124068344158E-08 1.0559E-14 1.0629E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 50 -.460769327905E-08 0.120591424865E-08 1.0727E-14 1.0801E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 65 51 0.946981124600E-09 -.199789274163E-08 9.6006E-15 9.5431E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 52 0.503748719272E-10 0.211288177163E-08 8.1990E-15 8.2938E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 53 -.482481550305E-08 0.601492377206E-09 7.2162E-15 7.0034E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 54 0.151704813079E-08 0.159341189530E-08 5.8765E-15 5.8390E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 55 -.361073886772E-08 0.384550615669E-08 4.7780E-15 4.6976E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 56 0.623199941363E-10 -.302236210997E-08 3.7814E-15 3.7669E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 57 -.112506273408E-08 0.842253289077E-09 3.1416E-15 3.1264E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 58 -.106928862675E-08 -.410990645566E-09 2.5144E-15 2.5216E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 59 0.296733939627E-08 -.255119525944E-08 2.2173E-15 2.3755E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 60 0.875278463203E-09 0.290310968655E-08 1.7938E-15 1.9528E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 61 -.416004843545E-08 0.288535325628E-08 1.6301E-15 1.8630E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 62 0.603438214009E-09 -.203984139529E-09 1.3660E-15 1.7054E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 63 0.524545287416E-10 -.296119831130E-08 9.0678E-16 8.9704E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 65 64 0.363121174798E-09 0.357412299554E-08 1.3813E-15 1.4470E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 65 65 0.114787584461E-08 0.158955395871E-08 1.8050E-15 1.6002E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 0 -.361647259878E-09 0.000000000000E+00 4.2706E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 66 1 -.284165184678E-09 -.482504291228E-09 4.1404E-14 4.1725E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 2 0.151087055333E-08 0.853656255856E-09 3.0444E-14 3.0349E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 3 0.207511843876E-08 -.769522046528E-09 1.3514E-14 1.3610E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 4 0.620939383929E-10 -.241123621210E-08 2.0311E-14 2.0173E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 5 0.549212840308E-08 0.386063326458E-08 1.3859E-14 1.4197E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 6 0.329071858089E-08 -.183704385912E-08 1.1006E-14 1.0956E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 7 -.786308786989E-09 0.230958726884E-08 9.6909E-15 9.7887E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 8 -.240463216693E-10 0.858713683986E-09 6.6009E-15 6.7635E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 9 0.831791587161E-09 0.550845413625E-08 3.7848E-15 3.6777E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 10 -.889771836154E-09 -.335948025946E-08 3.2868E-15 3.3621E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 11 -.214922686541E-09 0.661059874055E-09 3.2918E-15 3.1160E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 12 0.182602891523E-08 -.277392500609E-08 2.4922E-15 2.6177E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 13 -.347034966342E-08 0.177997365934E-08 2.2696E-15 2.2665E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 14 -.412588605717E-08 -.950943271891E-11 2.3047E-15 2.3625E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 15 0.273708730703E-08 -.366715448646E-08 2.6780E-15 1.4315E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 16 -.236750832294E-08 0.216626428647E-09 2.1968E-15 1.9718E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 17 -.197113822680E-08 -.126709739658E-08 2.0465E-15 2.2004E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 18 0.722146071418E-10 -.296230588826E-08 2.0295E-15 2.1477E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 19 -.314140212762E-08 -.116009231246E-08 2.2343E-15 2.1348E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 20 -.131390748056E-08 -.122713887660E-08 2.1380E-15 2.3138E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 21 -.163175727075E-09 -.135464381172E-08 2.2157E-15 2.2032E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 22 0.282066228295E-08 0.241170550053E-08 2.1190E-15 2.3408E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 23 0.251034680146E-08 0.403933151038E-08 2.2432E-15 2.2610E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 24 0.837657319957E-09 0.310149282675E-09 2.2058E-15 2.4040E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 25 0.198789096347E-08 -.957332143432E-09 2.3106E-15 2.1962E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 26 0.278865625766E-08 0.350674248216E-09 2.3675E-15 2.3910E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 27 0.287036792666E-08 -.144226623934E-08 2.4131E-15 2.2631E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 28 0.126602323048E-08 -.231831608965E-08 2.4500E-15 2.4126E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 29 -.376170269322E-08 0.261487088843E-08 2.4872E-15 2.4207E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 30 0.288448442159E-08 -.248906199300E-08 2.6384E-15 2.3210E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 31 -.304138916131E-08 0.856541679766E-09 2.6649E-15 2.3823E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 32 -.121177997613E-08 0.477071461443E-09 2.4200E-15 2.5031E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 33 0.406683627378E-09 -.417891685754E-08 2.5617E-15 2.4161E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 34 -.593427727002E-09 0.161084387515E-08 2.3945E-15 2.6176E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 35 0.245600805136E-08 -.188391123748E-08 2.5173E-15 2.4057E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 36 -.130301102578E-08 -.194622158510E-08 2.4918E-15 2.5054E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 37 0.564238871588E-09 0.234084955034E-08 2.6693E-15 2.4443E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 38 0.529275329534E-09 0.351899176769E-08 2.7478E-15 2.7319E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 39 -.506068514805E-09 0.503921709180E-08 3.0490E-15 3.1689E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 40 -.285513934666E-08 -.320588326075E-08 3.2923E-15 3.4996E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 41 -.169109474772E-08 0.308954334167E-08 3.6127E-15 3.6979E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 42 -.346042119206E-08 -.363433579026E-08 3.5766E-15 3.9465E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 43 0.627368400389E-09 -.263023608253E-08 3.9123E-15 3.7298E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 44 0.185436580587E-08 -.451970613909E-08 3.6953E-15 3.7725E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 45 0.264504261782E-09 -.960214242627E-09 3.6151E-15 3.7452E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 46 0.462857440772E-09 -.293807383725E-08 4.5108E-15 4.4222E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 47 0.364372896334E-08 -.958809704026E-09 5.9927E-15 5.9632E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 48 0.491500357232E-08 0.463602157957E-09 7.8964E-15 7.8595E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 49 0.116775879880E-08 0.253585441247E-08 9.5030E-15 9.5441E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 50 -.232305368785E-08 0.147047482288E-08 1.0259E-14 1.0319E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 66 51 -.176975977767E-08 -.127358623239E-08 9.7704E-15 9.7522E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 52 -.218532661650E-08 -.172752997320E-09 8.3404E-15 8.4394E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 53 -.292733004985E-08 -.428027285111E-08 7.3694E-15 7.1126E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 54 -.208525330975E-08 -.220848089294E-08 6.2748E-15 6.2218E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 55 -.659908724972E-09 -.341277704177E-08 5.1488E-15 5.1014E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 56 -.117832161566E-08 0.947576427067E-09 4.1865E-15 4.2067E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 57 0.195785140348E-08 0.520977631104E-08 3.3616E-15 3.3899E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 58 -.196299792046E-08 -.689288191904E-09 2.7844E-15 2.8388E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 59 0.191423873276E-08 0.312586175708E-08 2.2798E-15 2.4248E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 60 -.998314585292E-09 -.299721347321E-08 1.9873E-15 2.1039E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 61 -.289676491774E-09 0.603337403997E-10 2.2691E-15 2.2058E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 62 0.688263835976E-08 0.109684293707E-08 1.5711E-15 1.5718E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 63 0.481512127000E-09 0.450307540273E-08 1.1830E-15 1.1561E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 64 0.139890303066E-08 -.182213147888E-08 9.9055E-16 7.4814E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 66 65 -.391395590534E-08 0.362212040118E-08 1.4296E-15 1.3494E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 66 66 -.320402224821E-08 -.127985602104E-08 1.8747E-15 1.9312E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 0 0.475392061126E-09 0.000000000000E+00 3.6293E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 67 1 -.335823691147E-08 0.203932702474E-08 3.5236E-14 3.5498E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 67 2 0.585031917982E-09 -.441269098848E-08 2.5323E-14 2.5259E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 67 3 -.311693902757E-09 0.265936034154E-09 9.3320E-15 9.3240E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 4 -.125741160391E-08 0.191470917708E-08 1.8461E-14 1.8329E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 67 5 0.200853762699E-09 0.380154495466E-08 1.5483E-14 1.5854E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 67 6 -.227588122715E-08 0.694352266125E-09 1.0160E-14 1.0045E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 67 7 -.374928490458E-08 -.200757034380E-08 5.7595E-15 5.8355E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 8 0.201513438911E-08 -.294421626374E-08 4.6150E-15 4.6741E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 9 0.343903938462E-08 0.192968718535E-08 4.6091E-15 4.4817E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 10 0.126549639893E-08 0.968687611038E-10 3.0460E-15 3.0750E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 11 0.143880255427E-08 -.522624531311E-09 2.4722E-15 2.2433E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 12 -.273263441689E-08 -.249062513817E-08 2.2705E-15 2.4413E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 13 0.317489811901E-08 -.898907018274E-09 2.1994E-15 2.1372E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 14 0.121622303819E-08 0.545289689869E-09 2.0219E-15 2.0251E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 15 0.110827567051E-08 -.576171838658E-11 2.3459E-15 1.2894E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 16 0.600428684397E-09 0.989312764192E-09 1.9310E-15 1.7473E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 17 -.263289861561E-08 -.169049129617E-08 1.8332E-15 1.9782E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 18 -.165003979127E-08 0.179306987807E-08 1.7866E-15 1.8675E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 19 0.846787783257E-09 0.916884678661E-09 1.9404E-15 1.8322E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 20 0.307473268860E-08 -.153801563624E-08 1.9682E-15 2.0634E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 21 -.276897193195E-08 -.435197419256E-09 2.0063E-15 1.9588E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 22 -.266411772600E-08 0.504354870938E-08 1.8864E-15 2.0610E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 23 0.285024066294E-08 -.105039936619E-08 1.9805E-15 1.9563E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 24 0.103127080706E-08 -.238623351790E-08 1.9515E-15 2.0600E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 25 0.416365800097E-08 0.493378927003E-09 2.0689E-15 1.9355E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 26 0.414889896536E-08 0.527035988028E-09 2.0350E-15 2.0065E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 27 0.148486927088E-08 0.945954453880E-09 2.1774E-15 2.0040E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 28 -.134762961685E-08 -.215774935485E-08 2.1186E-15 2.0411E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 29 -.662609588082E-09 0.159395074978E-08 2.2243E-15 2.0710E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 30 0.397512089128E-10 -.122405377016E-08 2.2389E-15 1.9762E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 31 -.166298130545E-08 0.352726359246E-08 2.2162E-15 1.9502E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 32 -.171392308646E-08 -.315950462842E-08 2.1154E-15 2.1362E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 33 -.840847313140E-09 -.448948635861E-09 2.0817E-15 1.9870E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 34 0.556916317322E-09 0.243542061302E-08 2.0823E-15 2.2125E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 35 -.250380184621E-08 -.326589220484E-08 2.1258E-15 1.9813E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 36 -.155716735440E-08 -.195772042214E-08 2.0262E-15 2.0768E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 37 -.278469501457E-08 -.537938748733E-09 2.1898E-15 2.0547E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 38 0.168506593302E-08 -.404563424866E-09 2.2277E-15 2.2470E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 39 -.317013196967E-09 0.420349346131E-09 2.4612E-15 2.5819E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 40 -.729123697680E-09 0.680219614785E-10 2.7190E-15 2.9293E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 41 -.343867080176E-09 -.156128767722E-08 3.0413E-15 3.1426E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 42 -.130345430071E-08 0.247492453064E-08 3.1271E-15 3.3778E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 43 0.296753471918E-08 -.337860890872E-08 3.4792E-15 3.2992E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 44 0.274491157124E-09 0.105494968002E-08 3.4214E-15 3.4478E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 45 -.157996428849E-08 0.924866648799E-09 3.3874E-15 3.4362E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 46 -.302421244289E-08 -.706911824241E-09 3.6525E-15 3.5720E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 47 -.282861031420E-09 -.207306559245E-08 4.8974E-15 4.8701E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 48 0.358361467443E-08 -.274562081386E-08 6.5167E-15 6.5110E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 49 0.150642641697E-08 0.317368253784E-08 8.1928E-15 8.2733E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 50 0.667465812895E-09 -.676885298854E-09 9.4395E-15 9.5186E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 51 0.537263445809E-08 -.236127041271E-08 9.6059E-15 9.5536E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 52 0.428547429048E-08 0.988014867307E-09 8.5022E-15 8.5586E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 53 0.981059330144E-09 0.202413376758E-09 7.5308E-15 7.2537E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 54 -.116078928783E-09 -.887353863486E-09 6.4419E-15 6.4081E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 55 0.534063489754E-09 0.789998014877E-08 5.5332E-15 5.5090E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 56 -.380115650442E-08 -.436661400666E-08 4.5319E-15 4.5302E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 57 0.327235368087E-08 -.980851130080E-09 3.7338E-15 3.7267E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 58 -.309484146821E-08 -.227873924645E-08 3.0384E-15 3.0377E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 59 0.721965393085E-09 -.273325971950E-08 2.6074E-15 2.7180E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 60 0.326985115860E-08 0.452443002906E-09 2.1208E-15 2.1728E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 61 0.206052462833E-08 -.296828952135E-08 1.9235E-15 2.0511E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 62 0.424590927567E-08 -.583432860563E-08 1.5850E-15 1.6690E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 63 0.186556799020E-08 0.572627668111E-08 1.3530E-15 1.2972E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 64 -.812910504537E-10 -.292538589202E-08 1.1391E-15 1.1283E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 65 -.440516422427E-09 -.588578441911E-09 6.6634E-16 6.0489E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 67 66 0.209992501808E-10 -.518634596642E-09 1.4163E-15 1.4408E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 67 67 -.835026307726E-09 0.304442443370E-08 1.7385E-15 1.8427E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 0 -.521431216897E-09 0.000000000000E+00 3.1593E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 68 1 0.189372645157E-08 0.192020073503E-08 3.0733E-14 3.0922E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 68 2 -.405965489566E-08 -.667059802710E-09 2.1627E-14 2.1550E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 68 3 -.892324925438E-09 0.119794455675E-08 1.0883E-14 1.0941E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 68 4 0.252733585029E-08 -.652441525853E-09 1.6370E-14 1.6267E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 68 5 0.714306685083E-09 -.581318851731E-11 1.0306E-14 1.0604E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 68 6 0.148783538620E-08 0.129514450970E-08 7.4299E-15 7.3799E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 7 -.179149533434E-09 -.357590141239E-08 6.5555E-15 6.6751E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 8 -.154593866927E-08 0.247539410571E-08 4.6616E-15 4.7166E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 9 0.183162235101E-08 0.359677637076E-09 2.7147E-15 2.5699E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 10 -.638240896715E-09 0.163286320433E-08 2.3309E-15 2.3577E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 11 0.480418062849E-08 -.196286246316E-08 2.3140E-15 2.1670E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 12 0.192845649014E-10 0.790325438494E-09 1.8896E-15 2.0990E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 13 0.877176976994E-09 -.380104659610E-08 1.8869E-15 1.8096E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 14 -.452501091931E-09 0.457637905569E-09 1.8230E-15 1.8323E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 15 0.267414678442E-08 -.138188443563E-08 2.0071E-15 1.2076E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 16 0.277686917271E-08 -.373456423166E-08 1.6954E-15 1.5447E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 17 -.220680136995E-08 -.122261171360E-08 1.7049E-15 1.7719E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 18 0.239468697373E-09 0.958544101606E-09 1.6713E-15 1.6834E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 19 0.394888085169E-08 0.189178049921E-09 1.7363E-15 1.6286E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 20 0.289711945985E-08 -.116106178824E-09 1.7094E-15 1.7473E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 21 -.276537495168E-08 0.277083334298E-08 1.8370E-15 1.7529E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 22 -.422976401054E-08 -.261314198090E-08 1.7045E-15 1.8205E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 23 -.299333599777E-08 0.539468870819E-09 1.7717E-15 1.7547E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 24 0.287862817839E-08 0.465731799174E-09 1.7271E-15 1.8467E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 25 -.395035849565E-09 0.277935877765E-08 1.8479E-15 1.7615E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 26 -.191056783271E-08 0.503265268266E-09 1.8282E-15 1.7829E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 27 -.158967420245E-08 -.162002403423E-09 1.9221E-15 1.7246E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 28 0.313001383380E-11 -.495248889987E-09 1.8988E-15 1.8285E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 29 0.239584020274E-08 -.266679936064E-08 1.8744E-15 1.7854E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 30 0.892697120178E-09 0.972210043417E-09 2.0121E-15 1.8769E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 31 0.164172013407E-08 -.759350845483E-09 1.9809E-15 1.6822E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 32 -.432769122736E-08 0.112846155485E-08 1.8077E-15 1.8013E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 33 0.318445771992E-08 -.603572522509E-09 1.7854E-15 1.7372E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 34 -.836061905631E-09 0.290143999148E-08 1.6817E-15 1.7734E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 35 -.275636725463E-08 0.192841636066E-09 1.8226E-15 1.6851E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 36 0.413647395307E-08 0.104905968709E-08 1.6220E-15 1.7224E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 37 -.468473307797E-08 0.309612808539E-08 1.7888E-15 1.6728E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 38 -.307267590744E-08 -.334627246672E-08 1.8097E-15 1.8356E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 39 -.218671132330E-08 -.467722351170E-09 1.9530E-15 2.0630E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 40 0.119405453798E-08 -.905206184531E-09 2.1832E-15 2.3546E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 41 0.488588282924E-08 -.474039353544E-08 2.5602E-15 2.6318E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 42 -.162458257527E-08 0.316662922868E-08 2.6509E-15 2.8404E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 43 0.178703330713E-08 -.742040945922E-09 2.9777E-15 2.8490E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 44 0.190059556635E-08 0.383608172113E-08 3.0532E-15 3.0666E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 45 -.156159260969E-08 0.237075246218E-08 3.0961E-15 3.1704E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 46 -.389791866099E-08 -.108677808258E-08 3.1035E-15 3.0838E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 47 -.595938357978E-09 -.857120857376E-09 3.9056E-15 3.9309E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 48 -.156237548979E-08 -.107337784533E-08 5.1955E-15 5.2471E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 49 0.260681527227E-09 0.257829813281E-08 6.8705E-15 6.9122E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 50 -.286785986131E-08 0.123534002883E-09 8.3152E-15 8.3688E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 51 0.300408948893E-08 -.143637547712E-08 9.1563E-15 9.1101E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 52 -.224169333013E-08 -.561237780229E-09 8.6359E-15 8.7239E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 53 -.225733313976E-08 -.109803534766E-10 7.6242E-15 7.3945E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 54 -.139249917841E-08 -.629216291203E-09 6.5681E-15 6.5665E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 55 0.742742236870E-11 -.325096973200E-08 5.7404E-15 5.7036E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 56 0.343947536144E-08 -.537129960091E-08 4.9048E-15 4.8967E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 57 0.269522034396E-08 0.155862108650E-08 4.0256E-15 4.0034E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 58 0.123453733776E-08 0.529663645174E-09 3.3428E-15 3.3536E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 59 0.551869479968E-08 0.377863312193E-08 2.7146E-15 2.8277E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 60 -.152092281905E-08 0.177912871977E-08 2.3384E-15 2.3819E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 61 -.895075855040E-09 0.103859779627E-08 2.3728E-15 2.1828E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 62 0.287639343701E-08 0.773858167902E-09 1.7425E-15 1.7292E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 63 0.284491223851E-09 -.504721641065E-08 1.3779E-15 1.3005E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 64 -.389292645391E-08 -.372339976440E-08 1.2758E-15 1.0515E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 65 0.359570183995E-08 -.340370175325E-09 1.0300E-15 9.7760E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 68 66 0.739357211375E-09 -.119882065324E-08 6.7804E-16 6.8803E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 68 67 0.391847349752E-08 -.680201495087E-09 1.2862E-15 1.2946E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 68 68 -.136189505291E-08 0.234806882776E-08 2.0622E-15 1.8812E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 0 0.618645515610E-09 0.000000000000E+00 2.6964E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 69 1 0.629672657486E-09 -.349587127184E-08 2.6318E-14 2.6461E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 69 2 -.242711413962E-08 0.954553431107E-09 1.8156E-14 1.8101E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 69 3 0.210683830366E-08 -.222514952205E-08 6.9933E-15 7.0006E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 4 -.192750950408E-08 -.441753767807E-09 1.4755E-14 1.4670E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 69 5 0.234915472292E-08 0.300855060028E-08 1.1339E-14 1.1660E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 69 6 0.336177712267E-09 0.165923177557E-08 7.4236E-15 7.3590E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 7 0.115035812904E-08 -.763498691934E-09 4.2174E-15 4.3450E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 8 -.146831782586E-08 0.952400389286E-10 3.0173E-15 3.0367E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 9 -.151977051089E-08 0.814691069151E-09 3.1749E-15 3.0885E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 10 0.976435176647E-09 0.187472755211E-10 2.2366E-15 2.3249E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 11 -.201382522096E-08 0.277464088980E-08 1.8399E-15 1.7852E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 12 0.258827799426E-08 0.807688885472E-09 1.6064E-15 1.8904E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 13 -.561739243116E-09 -.595960806661E-08 1.8170E-15 1.6947E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 14 0.120773516215E-08 0.135119818145E-08 1.5823E-15 1.5550E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 15 -.109275912136E-08 -.429705461280E-08 1.7995E-15 1.0011E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 16 -.360606552526E-08 -.376068408577E-08 1.6072E-15 1.3680E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 17 0.262805290333E-08 -.401334078984E-08 1.5420E-15 1.5349E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 18 -.188075785604E-08 -.106686362191E-08 1.5150E-15 1.5440E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 19 0.512993813356E-08 0.208033443068E-08 1.5545E-15 1.4841E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 20 0.389769879151E-08 -.138517098493E-08 1.5430E-15 1.5650E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 21 -.210061298376E-08 0.257963082744E-08 1.6442E-15 1.6213E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 22 -.328505156203E-08 -.181829627278E-08 1.5172E-15 1.6827E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 23 -.106969428290E-08 0.141279747167E-08 1.5470E-15 1.5769E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 24 0.169509419188E-08 0.247857414005E-08 1.5211E-15 1.6563E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 25 -.133177602298E-08 -.259261875899E-09 1.6394E-15 1.5417E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 26 -.545444507474E-08 0.272007899428E-08 1.6685E-15 1.5714E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 27 -.298747196124E-08 -.215300600677E-10 1.6672E-15 1.5255E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 28 -.902377733759E-09 -.571574435540E-09 1.6650E-15 1.6493E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 29 -.500689841465E-09 -.206472327364E-08 1.6743E-15 1.6153E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 30 -.478554739054E-09 0.135318020739E-08 1.7048E-15 1.5406E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 31 -.528879596684E-09 -.179816248288E-08 1.7548E-15 1.5197E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 32 0.108510259328E-08 -.661293668902E-09 1.5688E-15 1.5650E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 33 0.417140544650E-08 -.813398018058E-10 1.5508E-15 1.5298E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 34 -.832264415782E-09 0.183217681475E-08 1.4833E-15 1.5461E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 35 -.181610770118E-08 0.255206444693E-08 1.4692E-15 1.4219E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 36 0.317043327197E-08 0.159003282344E-08 1.4144E-15 1.5581E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 37 -.203872148727E-08 0.551486773186E-08 1.4927E-15 1.3813E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 38 -.408840542188E-08 -.839338591877E-09 1.5239E-15 1.5489E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 39 -.104071168659E-08 -.436491704604E-09 1.6522E-15 1.7200E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 40 -.162107169885E-08 -.419439031430E-08 1.8154E-15 1.9186E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 41 -.105349412800E-08 -.139009141297E-08 2.1248E-15 2.1926E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 42 -.227994320315E-08 0.224871814069E-08 2.2821E-15 2.4176E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 43 -.187196285345E-09 0.576885572329E-09 2.5316E-15 2.4235E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 44 0.277878543424E-08 -.167908148237E-08 2.6483E-15 2.6438E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 45 0.100460303427E-08 0.224751775452E-08 2.7308E-15 2.8189E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 46 -.939137644965E-09 -.138809725209E-08 2.8621E-15 2.9156E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 47 0.132712813906E-08 0.175438942072E-08 3.0688E-15 3.1065E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 48 -.286977525594E-09 0.146254873736E-08 3.8641E-15 3.9334E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 49 0.184303536040E-08 0.881500036873E-09 5.6460E-15 5.6399E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 50 -.385400229777E-09 -.915398154846E-09 7.0732E-15 7.1123E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 51 0.649015895651E-09 -.203878238572E-08 8.2727E-15 8.2518E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 52 -.173738291504E-08 0.573946601785E-09 8.5288E-15 8.6314E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 53 -.287355668413E-08 -.537524385334E-08 7.7306E-15 7.4795E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 54 0.367168535400E-08 -.289595622369E-08 6.6751E-15 6.6237E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 55 0.243485257721E-08 -.279560812883E-08 5.8686E-15 5.8105E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 56 -.469330681380E-09 -.112354003736E-08 5.0849E-15 5.0853E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 57 0.178887958430E-08 -.275751757926E-09 4.3555E-15 4.3577E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 58 -.428807214591E-08 0.261343060263E-08 3.5706E-15 3.5833E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 59 -.152511828582E-08 -.696814221699E-08 2.9882E-15 3.1150E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 60 -.313296241318E-09 -.140392220518E-08 2.4472E-15 2.4856E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 61 0.280963887020E-08 -.499748111484E-08 2.1826E-15 2.1867E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 62 -.118834958099E-08 -.547412952335E-09 1.7350E-15 1.7185E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 63 0.311806865185E-08 0.186115186892E-08 1.5554E-15 1.4693E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 64 -.398537182630E-08 0.259852589493E-08 1.1974E-15 1.1469E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 65 0.134372438286E-08 -.464208714674E-09 1.0025E-15 9.4164E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 69 66 -.723767223718E-08 0.183313616154E-09 9.6180E-16 1.0028E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 67 -.326457128893E-09 0.327586385729E-08 5.3408E-16 5.4039E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 69 68 -.170254700225E-09 0.873191186771E-09 1.4962E-15 1.6172E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 69 69 0.219095908375E-08 -.185085735890E-08 1.8739E-15 2.0058E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 0 -.587853634653E-09 0.000000000000E+00 2.3540E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 70 1 0.905098136259E-09 -.193270375177E-08 2.3044E-14 2.3126E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 70 2 0.103603016656E-09 0.240808569299E-08 1.5632E-14 1.5553E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 70 3 0.284544488694E-08 -.124257231468E-08 9.0279E-15 9.0556E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 4 0.213694386275E-08 0.274034077744E-08 1.3100E-14 1.3035E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 70 5 0.528693663034E-09 0.135883291079E-08 7.8269E-15 8.0541E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 6 -.955857411397E-09 0.984813686190E-10 5.1436E-15 5.0907E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 7 -.643909028551E-09 0.920578616811E-09 4.5308E-15 4.6210E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 8 0.270196094426E-08 -.368500807468E-09 3.3306E-15 3.3172E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 9 0.357618497619E-09 -.143673340890E-08 1.9216E-15 1.8610E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 10 -.620548887569E-09 -.882193518935E-09 1.7527E-15 1.8737E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 11 -.735774907472E-09 0.274480191320E-08 1.6450E-15 1.6577E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 12 -.655780695647E-09 0.357288147468E-08 1.4512E-15 1.6853E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 13 0.290871463420E-08 -.234820156926E-08 1.5604E-15 1.3821E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 14 0.306109278919E-08 0.188315842482E-09 1.4837E-15 1.4667E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 15 -.120508646690E-08 0.135886391192E-08 1.5464E-15 9.0612E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 70 16 -.691340666830E-09 -.125655135500E-08 1.4662E-15 1.2723E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 17 0.534194639684E-10 -.253207697883E-09 1.3658E-15 1.4244E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 18 -.280002898077E-08 0.855844411486E-10 1.3289E-15 1.3906E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 19 -.674382813034E-09 -.163441509356E-08 1.4415E-15 1.3447E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 20 -.315995760451E-08 0.389553800434E-09 1.3782E-15 1.3400E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 21 0.185398253279E-08 -.427593159695E-09 1.4773E-15 1.4232E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 22 -.164275686666E-08 -.170165978210E-08 1.4300E-15 1.5075E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 23 0.144305812208E-08 -.357700768641E-09 1.4180E-15 1.3788E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 24 -.694592740633E-09 0.204099595811E-08 1.3948E-15 1.4422E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 25 -.985322395498E-09 -.125914408778E-08 1.5257E-15 1.3670E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 26 -.225481380037E-08 0.140179769097E-08 1.5091E-15 1.4063E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 27 -.807392757303E-09 -.636410412873E-09 1.4976E-15 1.4216E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 28 -.208188252430E-08 0.185206430028E-08 1.4361E-15 1.4494E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 29 0.658847736363E-09 0.233289159235E-08 1.4736E-15 1.4288E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 30 0.148673529385E-08 0.116971048075E-08 1.4899E-15 1.4276E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 31 -.233297528834E-08 -.183893344589E-08 1.5700E-15 1.3486E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 32 -.262313409236E-09 -.611405559079E-11 1.3490E-15 1.4189E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 33 -.102613125766E-08 -.223118663759E-10 1.2918E-15 1.2605E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 34 0.187534614250E-08 0.110230880238E-08 1.2866E-15 1.3555E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 35 -.496798161031E-08 -.349076996636E-08 1.2378E-15 1.2623E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 36 0.125650888466E-08 -.451142336949E-09 1.1859E-15 1.2997E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 37 -.204695900988E-08 0.146080897222E-08 1.3402E-15 1.2108E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 38 -.139936619274E-08 -.254391502408E-08 1.2208E-15 1.2810E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 39 0.442518859882E-08 -.207081658659E-08 1.3781E-15 1.4711E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 40 -.238457196322E-08 0.301757630881E-09 1.5169E-15 1.6241E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 41 0.347944560250E-08 0.140867578081E-08 1.7520E-15 1.8437E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 42 -.997822389014E-09 0.153780036891E-08 1.9331E-15 2.0251E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 43 -.333650395237E-08 -.156271259358E-08 2.1797E-15 2.0496E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 44 0.968502332728E-09 -.529195957008E-09 2.2399E-15 2.2623E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 45 -.955817977020E-09 0.280584027531E-08 2.3899E-15 2.5015E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 46 -.292912013327E-08 -.283853788755E-09 2.4928E-15 2.5291E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 47 -.279497269509E-09 -.260962178277E-08 2.5988E-15 2.6726E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 48 0.133839132556E-08 -.198658808602E-08 2.8666E-15 2.9771E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 49 0.409198107444E-09 -.886420947760E-09 4.5295E-15 4.5122E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 50 0.481353982721E-08 0.382647717940E-09 5.8660E-15 5.9091E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 51 0.125732196971E-08 0.165792063590E-08 7.1654E-15 7.1056E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 52 -.191554982221E-09 0.330349870609E-08 7.8648E-15 7.9133E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 53 -.266598117309E-08 -.426531993113E-09 7.7737E-15 7.4956E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 54 0.357829084000E-08 0.266050224103E-08 6.7832E-15 6.7172E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 55 -.173783201227E-08 0.227768476166E-08 5.9350E-15 5.9230E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 56 0.219393981101E-08 0.228461988126E-08 5.1936E-15 5.2239E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 57 0.295691538165E-09 -.103020297139E-08 4.5200E-15 4.4965E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 58 -.447123667815E-08 -.276868522477E-08 3.8855E-15 3.8573E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 59 0.564108903517E-08 -.304523593048E-08 3.1427E-15 3.2345E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 60 -.456191752987E-09 0.367743233253E-08 2.6958E-15 2.6764E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 61 0.141624462367E-08 -.190387599573E-08 2.5283E-15 2.3115E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 62 0.494889162346E-09 0.145897713760E-08 1.9229E-15 1.9018E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 63 -.227095771990E-08 0.157585987063E-08 1.5256E-15 1.4683E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 64 -.163274101326E-08 0.167224362218E-08 1.3941E-15 1.2147E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 65 0.470596990874E-09 0.137647897542E-08 9.8080E-16 9.5707E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 70 66 -.160580774693E-08 0.220531009497E-08 8.4616E-16 8.4078E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 70 67 0.130174686163E-08 -.113269826831E-08 8.0087E-16 7.9569E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 70 68 -.313841523917E-08 0.207399707395E-08 6.8569E-16 6.4010E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 70 69 -.170652966124E-08 -.872762094586E-10 1.1239E-15 1.1069E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 70 70 0.325633487140E-09 -.172107668516E-09 1.6002E-15 1.6366E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 0 -.264380751694E-08 0.000000000000E+00 2.0175E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 71 1 -.164971218350E-08 0.137745904785E-08 1.9851E-14 1.9875E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 71 2 0.480452748446E-09 -.281204914736E-08 1.3259E-14 1.3189E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 71 3 -.157912135521E-09 0.359810665611E-09 5.6269E-15 5.6640E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 4 0.282756891591E-09 -.204747845380E-08 1.1759E-14 1.1718E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 71 5 -.339327396620E-08 0.221313317054E-08 8.3485E-15 8.5912E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 6 0.465375868768E-08 -.148668082336E-08 5.5305E-15 5.4606E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 7 0.182485213809E-08 0.229567619999E-08 3.1879E-15 3.2141E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 8 0.180378066838E-08 0.222950430554E-08 2.1191E-15 2.0548E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 9 -.119045574613E-08 -.155916245861E-08 2.1914E-15 2.1582E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 10 0.978918105463E-10 0.137305362617E-08 1.7147E-15 1.8446E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 11 0.131287498771E-08 0.200792530865E-08 1.4366E-15 1.4376E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 12 -.252971389385E-08 0.265369237744E-08 1.2366E-15 1.3932E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 13 0.226389840875E-08 0.687206461994E-09 1.4926E-15 1.2808E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 14 0.224346498275E-08 -.111904563226E-08 1.2009E-15 1.2723E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 15 -.673845694520E-09 0.120058028627E-08 1.4401E-15 9.0538E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 71 16 -.136987836161E-08 0.127072629577E-08 1.2943E-15 1.1341E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 17 0.920994886755E-09 0.315936598629E-08 1.2420E-15 1.3049E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 18 -.111991757114E-08 0.615453263581E-09 1.1667E-15 1.2360E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 19 -.121243054330E-08 -.583769356603E-09 1.3282E-15 1.2055E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 20 0.133564056906E-09 0.128100107902E-09 1.2357E-15 1.2032E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 21 -.574310520823E-09 -.200954136609E-08 1.2651E-15 1.2890E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 22 0.746491075254E-10 0.379066662135E-08 1.2676E-15 1.3946E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 23 -.151283527753E-08 -.400587436309E-08 1.2690E-15 1.3093E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 24 -.352473417833E-09 0.149007192004E-09 1.2207E-15 1.3430E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 25 -.177168554614E-09 -.120300677103E-08 1.3366E-15 1.2747E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 26 0.192036577546E-08 -.295392660657E-08 1.3265E-15 1.3292E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 27 0.960737310306E-09 -.407731354394E-08 1.3056E-15 1.3150E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 28 0.278767120888E-09 0.140488849190E-08 1.2840E-15 1.2990E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 29 0.172423293366E-08 0.348604247179E-08 1.2797E-15 1.2666E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 30 -.284837697914E-09 -.909495071885E-09 1.3429E-15 1.2616E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 31 0.622505581183E-09 -.611606240004E-09 1.2999E-15 1.1350E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 32 0.204249436634E-08 -.417695977786E-08 1.2339E-15 1.2225E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 33 -.297241537905E-08 0.457419023306E-08 1.1984E-15 1.1032E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 34 0.146959332316E-08 0.566930325246E-09 1.1171E-15 1.1407E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 35 -.198660097636E-08 -.102902569817E-08 1.1415E-15 1.1143E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 36 -.339427783187E-08 -.155724275999E-08 1.0593E-15 1.0622E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 37 0.100116347699E-08 -.147438895525E-08 1.1546E-15 1.0594E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 38 -.258937672057E-09 -.664814436580E-09 1.1114E-15 1.1819E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 39 0.418946259064E-08 -.214163018037E-09 1.1706E-15 1.2059E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 40 0.262459734554E-09 0.124350013226E-08 1.3471E-15 1.4333E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 41 0.189336887337E-08 -.801825590234E-09 1.5048E-15 1.5661E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 42 -.273949428307E-09 -.480997657948E-10 1.6605E-15 1.6969E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 43 -.161689720980E-08 0.160263230249E-08 1.8490E-15 1.7598E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 44 0.131775411817E-08 -.472547727309E-09 1.9383E-15 1.9315E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 45 0.111051340737E-08 -.131534126567E-08 2.0236E-15 2.1119E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 46 -.202403401603E-08 0.216603713152E-08 2.2555E-15 2.2153E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 47 -.298213785547E-09 -.545553709732E-09 2.3194E-15 2.3868E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 48 -.421493205953E-08 0.269926679641E-08 2.5212E-15 2.5894E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 49 0.208936113620E-08 0.417532417178E-09 3.5053E-15 3.4445E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 50 0.159757597395E-08 -.108072709021E-08 4.8032E-15 4.8360E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 51 0.101814217315E-08 -.100314999063E-08 6.0522E-15 5.9989E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 52 -.168511161724E-08 -.126812522945E-08 6.9212E-15 6.9960E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 53 0.426721163576E-09 -.718347097716E-09 7.4327E-15 7.2025E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 54 0.292831083613E-08 0.437148594921E-09 6.8599E-15 6.8466E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 55 0.230505235576E-08 0.136519819723E-08 6.0176E-15 6.0163E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 56 -.183018151601E-08 -.908042308923E-09 5.2709E-15 5.2751E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 57 -.173788980547E-08 0.215346674680E-08 4.6421E-15 4.5971E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 58 -.460698695366E-09 0.254493799155E-08 4.0293E-15 4.0122E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 59 -.234684766671E-08 0.274374948164E-08 3.4178E-15 3.5164E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 60 -.957599641549E-09 0.974435110109E-09 2.8537E-15 2.7949E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 61 -.546835047786E-08 -.139791958742E-08 2.4565E-15 2.3881E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 62 -.215015294992E-08 -.192388769318E-08 1.9103E-15 1.9402E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 63 0.100298102475E-08 -.101960811670E-08 1.6980E-15 1.6325E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 64 -.710282005198E-09 0.209957149237E-08 1.3053E-15 1.2391E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 65 -.199675950494E-08 0.613655562916E-11 1.1537E-15 1.0982E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 66 0.355436072865E-08 0.205098547894E-08 8.3446E-16 8.7165E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 71 67 -.406201117593E-09 -.333805726816E-08 7.9475E-16 7.6319E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 71 68 0.249328781198E-09 0.336787612702E-08 9.4354E-16 1.0285E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 69 -.292580814552E-09 -.397992050947E-09 4.6688E-16 5.1638E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 71 70 -.142539219900E-08 0.994366698115E-09 1.4205E-15 1.3659E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 71 71 -.212230345623E-08 -.840254060812E-09 1.7136E-15 2.0279E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 0 -.237500234034E-08 0.000000000000E+00 1.7656E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 72 1 0.721383384389E-09 -.130494332754E-08 1.7445E-14 1.7433E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 72 2 -.206713368734E-09 -.433672814253E-09 1.1505E-14 1.1415E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 72 3 0.213672767258E-08 0.376775743973E-08 7.5340E-15 7.5663E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 4 0.156874730597E-08 -.311212862304E-08 1.0444E-14 1.0426E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 72 5 -.554844070728E-09 0.175116313255E-08 6.0187E-15 6.1641E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 6 0.342297720905E-08 -.217489001508E-09 3.6627E-15 3.5832E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 7 -.669650878606E-09 0.403314138585E-08 3.2107E-15 3.2281E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 8 -.697356010211E-09 0.242978696704E-08 2.3844E-15 2.3526E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 9 -.288517869515E-08 0.244011798674E-08 1.4073E-15 1.4257E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 10 0.162427374006E-08 0.216147060762E-09 1.3216E-15 1.4361E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 11 -.116175975773E-08 -.272803744619E-08 1.3478E-15 1.3333E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 12 -.275037526250E-08 0.195195995903E-08 1.1120E-15 1.2102E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 13 0.361203149114E-08 0.109544805100E-08 1.2706E-15 1.0996E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 14 -.693001181909E-09 -.154252092780E-08 1.1301E-15 1.2108E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 15 -.139749357882E-09 -.136260197891E-08 1.2945E-15 8.2391E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 16 -.239999989424E-08 -.109146497825E-08 1.2090E-15 1.0536E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 17 0.218698058249E-08 0.273915680541E-08 1.0875E-15 1.1515E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 18 0.363108895746E-08 0.205936417691E-08 1.1037E-15 1.1276E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 19 0.228136091782E-08 -.422596874901E-09 1.1842E-15 1.0494E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 20 -.237990902966E-08 0.285918360413E-08 1.1532E-15 1.1697E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 21 -.134408748848E-08 -.288791774831E-10 1.0961E-15 1.1539E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 22 0.397176253486E-08 0.928133551078E-09 1.1812E-15 1.2407E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 23 -.625949991852E-09 -.235752645689E-08 1.1703E-15 1.1780E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 24 -.151015934448E-08 -.149920045641E-08 1.1449E-15 1.1677E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 25 0.108363366268E-08 -.120984230957E-08 1.1925E-15 1.1016E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 26 0.394034445271E-08 -.489078044009E-08 1.1954E-15 1.1894E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 27 0.149720179349E-08 -.784312179120E-09 1.2111E-15 1.1842E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 28 0.122375225222E-08 0.520700331900E-09 1.2081E-15 1.1649E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 29 -.261448129120E-08 -.105893571615E-08 1.1436E-15 1.1009E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 30 0.180333695231E-08 0.216475434802E-08 1.1923E-15 1.0822E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 31 0.474484850570E-08 -.153475163983E-08 1.1992E-15 1.0772E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 32 0.106995994462E-08 -.768033033800E-09 1.0493E-15 1.0311E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 33 -.208642704851E-08 0.351872818920E-08 1.0573E-15 1.0033E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 34 -.111605701605E-08 -.127740653745E-08 9.3971E-16 9.9761E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 35 0.184270043885E-08 -.132705058846E-09 9.5377E-16 9.3935E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 36 -.534529199119E-09 -.557391327047E-09 9.6358E-16 9.9181E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 37 -.223313186362E-08 0.604190434613E-09 9.2057E-16 9.3374E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 38 0.240238795959E-08 0.983070712880E-09 9.5714E-16 1.0418E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 39 -.159940536200E-08 0.339403130069E-08 1.0477E-15 1.0326E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 40 -.917976322672E-09 -.453880263774E-09 1.0930E-15 1.1580E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 41 -.313406254681E-08 -.283372523206E-08 1.3474E-15 1.3707E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 42 0.521639806052E-09 0.888468849521E-09 1.4243E-15 1.4501E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 43 0.125993291375E-08 -.425157105281E-09 1.5625E-15 1.5082E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 44 0.107911391435E-08 -.243015339354E-08 1.6273E-15 1.6697E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 45 -.668230493844E-09 0.303874117325E-11 1.7486E-15 1.8746E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 46 -.523407202365E-09 0.137862128314E-08 1.8394E-15 1.9048E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 47 -.190544649702E-08 -.597740867555E-09 2.0233E-15 2.0680E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 48 -.305353677161E-08 0.329702908424E-08 2.2190E-15 2.2735E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 49 -.109647264459E-08 -.153915026033E-08 2.7096E-15 2.6902E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 50 -.286276208258E-11 0.617822755103E-09 3.8293E-15 3.9066E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 51 0.444017883082E-09 0.204030784103E-08 5.0117E-15 4.9762E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 52 -.292345354282E-08 -.857372553073E-09 5.9630E-15 6.0590E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 53 0.284221510022E-08 -.154868391835E-08 6.7169E-15 6.4823E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 54 -.513473749047E-10 -.109030848275E-08 6.7180E-15 6.6860E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 55 -.105240199895E-08 0.124970442863E-08 6.1862E-15 6.1408E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 56 0.414060597414E-09 -.249615868769E-08 5.3405E-15 5.3563E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 57 0.303493231018E-09 0.251490092620E-08 4.7023E-15 4.6949E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 58 0.493026141696E-09 -.240133981469E-08 4.1192E-15 4.1289E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 59 0.497794573273E-08 -.213792443257E-08 3.5433E-15 3.6256E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 60 0.249651480626E-08 0.422808859487E-08 3.0960E-15 3.0449E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 61 -.330614031121E-08 -.263729374645E-08 2.7552E-15 2.5960E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 62 0.480030285327E-08 0.146424214991E-08 2.1334E-15 2.1354E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 63 -.780804908906E-09 0.435455925446E-08 1.7347E-15 1.6339E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 64 0.102312561964E-08 0.455927868502E-08 1.5117E-15 1.3791E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 65 -.214849886916E-08 -.638679589683E-09 1.0900E-15 1.0832E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 72 66 -.738583907334E-09 -.358367978764E-08 9.5338E-16 9.4252E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 67 0.115194260197E-08 -.328784687425E-08 6.7401E-16 6.8388E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 68 0.118034168579E-08 0.628709223020E-09 7.2091E-16 6.7873E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 69 0.429647901974E-08 -.202146232801E-08 6.7479E-16 6.4943E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 70 0.142068522999E-08 -.101743340039E-08 5.9687E-16 5.4244E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 71 -.115205699869E-08 -.197636952761E-08 8.7251E-16 8.8930E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 72 72 0.114028984357E-08 0.469626212265E-09 1.5565E-15 1.3270E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 0 -.351812475238E-09 0.000000000000E+00 1.5181E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 73 1 -.333530107309E-08 -.731342646608E-09 1.5109E-14 1.5064E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 73 2 0.227077132299E-09 0.131273477713E-10 9.8478E-15 9.7689E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 3 0.245592032669E-08 0.317629316250E-08 4.7036E-15 4.7700E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 4 -.335838714855E-08 0.510039355568E-09 9.3523E-15 9.3434E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 5 -.472857472761E-09 0.952533308546E-09 6.2092E-15 6.3590E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 6 0.208982185528E-09 0.220522279369E-09 4.1418E-15 4.0581E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 7 -.622913932984E-09 0.251621981434E-08 2.4541E-15 2.4581E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 8 -.455060074731E-08 -.102235495939E-08 1.4585E-15 1.4206E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 9 -.123036765761E-08 -.162091367824E-09 1.5743E-15 1.5887E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 10 -.349034390205E-09 -.342609650823E-08 1.3079E-15 1.3931E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 11 -.172394914830E-08 0.141154394809E-08 1.1924E-15 1.1585E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 12 0.347533403385E-08 -.338250777215E-08 9.9916E-16 1.0277E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 13 0.203432408752E-09 0.162142925891E-08 1.1232E-15 9.5724E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 14 -.189401079079E-09 -.123413666955E-08 1.0171E-15 1.1148E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 15 -.336626253383E-08 -.322825556095E-08 1.2330E-15 7.2548E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 16 -.964599037722E-09 0.259192891071E-08 1.1338E-15 9.5204E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 17 -.812179714316E-09 -.210226448217E-08 9.5651E-16 9.8563E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 18 -.314705788162E-09 0.219468444191E-08 1.0291E-15 1.0223E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 19 0.824930475484E-09 0.456808723960E-09 1.0782E-15 9.3582E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 20 0.188775445161E-09 -.427172360794E-08 9.9319E-16 1.0267E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 21 -.198490126158E-08 -.622101446291E-09 1.0212E-15 1.0447E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 22 0.222062639572E-08 -.114091895750E-08 1.0190E-15 1.0605E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 23 0.233996486573E-08 0.592421283215E-09 1.0703E-15 1.1051E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 24 0.286357534689E-08 -.159292674145E-08 1.0121E-15 1.0668E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 25 -.155967829979E-08 -.721894710671E-09 1.0803E-15 1.0235E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 26 0.140537593300E-08 -.214907291950E-08 1.0714E-15 1.0887E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 27 0.104158611784E-08 0.250002036073E-08 1.1137E-15 1.0580E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 28 -.871419465508E-09 0.732159663097E-09 1.0769E-15 1.0290E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 29 -.331947517737E-08 0.175761579846E-08 1.0388E-15 9.9338E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 30 0.174462517847E-08 0.206130602558E-08 1.0532E-15 9.3345E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 31 0.358145982977E-08 -.183474264297E-09 1.0473E-15 8.9146E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 32 -.147692256388E-08 0.308280802673E-08 9.5702E-16 9.4321E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 33 0.113206797884E-08 -.853357453809E-09 8.8631E-16 8.4961E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 34 -.212249900048E-08 -.454531873159E-08 8.9007E-16 9.2327E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 35 0.593061882664E-08 -.275114060386E-08 8.2620E-16 8.1974E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 36 -.806525546849E-09 0.898661711571E-09 8.2509E-16 8.9361E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 37 -.341043893039E-10 0.648654715429E-09 8.4637E-16 8.7134E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 38 0.258382990207E-08 0.389401855147E-08 8.4782E-16 8.6832E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 39 -.238696740502E-08 0.298070728839E-08 9.3580E-16 9.6964E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 40 -.888965595235E-09 -.126335898882E-08 9.5560E-16 1.0660E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 41 0.897065409865E-10 -.724748309789E-09 1.1253E-15 1.1751E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 42 0.305397647167E-08 0.151722785615E-08 1.2595E-15 1.3275E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 43 0.285151825553E-08 0.701656961223E-09 1.3545E-15 1.3475E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 44 -.616242676639E-08 0.125253330918E-08 1.4055E-15 1.4251E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 45 -.717993176405E-09 -.221657461230E-08 1.5090E-15 1.5618E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 46 0.111351687035E-08 -.223620642925E-08 1.6207E-15 1.7312E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 47 0.137632582125E-09 -.200843028823E-08 1.6877E-15 1.7592E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 48 0.325320988863E-08 -.471838374587E-09 1.8367E-15 1.9412E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 49 -.208430875259E-08 -.215106875303E-08 2.2674E-15 2.2837E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 50 0.276706228206E-08 0.261423342628E-08 3.0294E-15 3.0830E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 51 0.548007387694E-09 0.272875330362E-09 4.0605E-15 4.0273E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 52 -.433819520830E-09 0.244620396100E-08 5.0373E-15 5.1156E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 53 0.219966087011E-08 -.199564942550E-08 5.8716E-15 5.6391E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 54 0.477997995608E-09 0.141034126589E-08 6.1750E-15 6.1531E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 55 0.439885788659E-09 -.402085068843E-09 6.1475E-15 6.1302E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 56 -.611380007753E-09 -.226913064863E-08 5.5224E-15 5.5621E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 57 0.111092481884E-08 0.261652911557E-09 4.7815E-15 4.7450E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 58 -.370200427737E-09 -.668664855703E-10 4.2169E-15 4.1802E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 59 -.150309703394E-08 0.981548178729E-10 3.6823E-15 3.7410E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 60 -.294486080003E-09 0.188363029433E-08 3.2600E-15 3.1699E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 61 -.872736395244E-09 -.371393982421E-09 2.8397E-15 2.6617E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 62 -.344854837220E-08 -.163986076744E-08 2.2335E-15 2.2288E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 63 0.152805794017E-08 -.234652500764E-08 1.9291E-15 1.8543E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 64 0.210720196182E-08 0.111585200600E-09 1.4821E-15 1.4544E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 65 -.447449732403E-09 0.229717840440E-09 1.2805E-15 1.2454E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 66 0.353754624593E-08 -.122176906817E-08 9.3102E-16 9.4885E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 67 0.277678411765E-08 0.185053577033E-08 8.9931E-16 8.7977E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 68 -.113894503029E-08 0.175906054502E-08 6.7651E-16 7.1041E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 69 -.337124842735E-08 0.450576745784E-09 6.3343E-16 6.5806E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 70 0.442664403901E-10 0.192413273494E-09 9.4030E-16 8.6282E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 71 -.130804125529E-08 -.255132761767E-08 5.0674E-16 5.0117E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 73 72 0.150697977523E-08 -.134235858029E-08 1.4861E-15 1.3322E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 73 73 0.100988710886E-08 0.132416831105E-08 1.8135E-15 1.6685E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 0 0.537909904369E-09 0.000000000000E+00 1.3305E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 74 1 -.259529812213E-08 0.140280359641E-08 1.3322E-14 1.3271E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 74 2 0.731357993526E-09 0.187325420168E-08 8.6058E-15 8.5143E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 3 0.633621489673E-09 0.195945382737E-10 6.2677E-15 6.3144E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 4 -.194165004734E-08 0.400513670414E-08 8.3178E-15 8.3211E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 5 -.421395692825E-09 -.269942977133E-08 4.6660E-15 4.7611E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 6 -.133265637497E-08 -.801157407532E-09 2.6501E-15 2.5764E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 7 -.930806017533E-09 -.152859180952E-08 2.3115E-15 2.3090E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 8 -.385918965794E-08 -.257864871034E-08 1.7182E-15 1.6734E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 9 0.261845176404E-08 -.777796255278E-09 1.0563E-15 1.0691E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 10 0.263005460816E-08 -.278381776538E-08 1.0625E-15 1.1040E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 11 -.177574963377E-08 -.230197235942E-08 1.0615E-15 1.0178E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 12 0.106424328358E-08 -.144841946988E-08 9.4492E-16 9.5528E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 13 0.176029731067E-08 -.511580046956E-09 9.4401E-16 8.1661E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 14 -.305501237430E-08 0.268468363956E-09 9.8571E-16 1.0579E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 15 -.575591266988E-09 -.336004859468E-08 1.1833E-15 6.6020E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 16 0.574304430386E-09 0.671305728268E-10 1.0085E-15 8.4490E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 17 -.300838234455E-08 -.588061195211E-09 8.9621E-16 8.9950E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 18 -.193363328729E-08 -.818460242139E-09 9.2580E-16 8.9186E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 19 -.126678456757E-08 -.618546850847E-09 9.9340E-16 8.8419E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 20 0.114110638009E-09 -.430656235647E-09 8.8438E-16 9.7062E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 21 0.185257395566E-08 -.218705393179E-09 9.4567E-16 9.7718E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 22 0.136694516657E-09 0.998218826024E-09 9.1607E-16 9.7963E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 23 0.135076029071E-08 0.201890962883E-08 9.4019E-16 1.0057E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 24 -.910288212866E-09 0.107355838142E-08 9.7476E-16 1.0049E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 25 -.728687200740E-09 0.122116368713E-08 9.5104E-16 9.0908E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 26 -.241436764023E-08 -.310236035496E-08 9.6218E-16 9.8353E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 27 -.122238593249E-08 0.121477478354E-08 9.8708E-16 9.2356E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 28 -.199229636637E-08 0.920176924633E-10 9.9321E-16 9.5873E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 29 0.432299958176E-09 0.109286295323E-08 9.1852E-16 8.9003E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 30 -.115231439862E-09 0.152446905647E-08 9.3263E-16 8.3214E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 31 -.127504730587E-08 0.188734172962E-08 9.3117E-16 8.0317E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 32 0.335262520582E-08 0.236178269644E-08 8.3131E-16 8.3120E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 33 0.110624508347E-08 -.249646457297E-08 7.8726E-16 7.7001E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 34 0.176890829476E-08 -.773794974799E-09 7.4942E-16 7.8099E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 35 0.401975217989E-08 0.456645128264E-09 7.2742E-16 7.8434E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 36 -.471113710149E-09 0.255211421195E-08 6.7706E-16 7.6384E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 37 -.418914757410E-08 -.300820195999E-08 7.6977E-16 7.7294E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 38 0.367745285416E-08 -.158946479736E-08 7.4276E-16 7.5141E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 39 0.629601969067E-09 0.156542775077E-08 7.7971E-16 7.9837E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 40 -.156262392368E-08 -.345946200533E-08 8.7869E-16 9.2716E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 41 0.568953158991E-08 0.152491882979E-08 9.8332E-16 9.8709E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 42 -.768302469957E-10 0.211274589487E-08 1.1076E-15 1.1402E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 43 0.375762419402E-08 0.403734341180E-08 1.2783E-15 1.1709E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 44 -.232213887309E-08 0.275653361822E-08 1.2534E-15 1.2226E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 45 -.234351330156E-08 -.126562975740E-08 1.3282E-15 1.3908E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 46 -.149744957119E-08 -.111536034445E-08 1.3721E-15 1.4470E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 47 -.350950553875E-11 0.185841811821E-08 1.4641E-15 1.5421E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 48 -.187275412769E-10 -.108791004545E-08 1.5828E-15 1.6446E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 49 -.413657166649E-08 0.661111211334E-09 1.9920E-15 1.9465E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 50 0.512354138197E-09 -.406868877552E-08 2.4227E-15 2.4319E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 51 0.717192649095E-09 -.261857426837E-08 3.2899E-15 3.1906E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 52 0.538879158236E-08 0.186777928093E-08 4.1521E-15 4.2165E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 53 0.354778542318E-08 -.266220994415E-09 5.0903E-15 4.8906E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 54 0.169135353829E-08 0.598637407572E-08 5.4335E-15 5.4357E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 55 -.232212505993E-08 -.594844357820E-09 5.7771E-15 5.7522E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 56 -.125725486211E-08 0.224078889933E-08 5.6178E-15 5.6418E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 57 -.925166661141E-09 0.156419080863E-08 4.9512E-15 4.9020E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 58 -.213055049192E-08 0.256209585715E-08 4.2471E-15 4.2695E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 59 0.132499224298E-08 -.369124816008E-08 3.7364E-15 3.8310E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 60 -.118351265364E-08 0.116276154389E-08 3.3562E-15 3.2942E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 61 -.164514812860E-08 -.212411366723E-08 3.0186E-15 2.8385E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 62 0.371415335052E-08 -.677390225562E-10 2.4500E-15 2.4854E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 63 0.133147531776E-08 0.215104804761E-08 2.0286E-15 1.9670E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 64 0.218625313973E-08 -.294858478465E-08 1.7122E-15 1.6322E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 65 0.935983542825E-09 0.242728135761E-09 1.3157E-15 1.2764E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 66 -.131774797077E-08 0.451973227606E-10 1.0991E-15 1.0780E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 74 67 0.112977798295E-09 -.100387715385E-08 7.9167E-16 8.1974E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 68 -.243498603204E-08 0.354400816264E-09 8.0153E-16 7.4880E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 69 0.767120401767E-09 0.460546701251E-08 5.1899E-16 5.0977E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 70 0.243336049117E-08 0.301002681084E-09 6.3351E-16 5.6462E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 71 -.251523361216E-08 -.568352058641E-09 5.4651E-16 5.3171E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 72 0.184544036041E-08 -.134358138445E-08 7.7931E-16 6.8409E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 73 -.731214422350E-09 0.339136513027E-08 6.8567E-16 7.7501E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 74 74 -.126466036079E-09 -.236443693667E-08 2.0317E-15 1.7540E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 0 -.452113324881E-09 0.000000000000E+00 1.1466E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 75 1 0.167095776436E-08 -.168708765453E-08 1.1602E-14 1.1537E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 75 2 -.139248770523E-08 -.276317540300E-08 7.4265E-15 7.3491E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 3 -.118531059388E-08 -.126908687305E-08 3.9757E-15 4.0515E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 4 0.173936906709E-08 -.210422789985E-10 7.4498E-15 7.4545E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 5 0.127379174410E-08 0.155015852033E-08 4.6503E-15 4.7410E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 6 0.283409082685E-08 0.134947860974E-08 3.1167E-15 3.0429E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 7 0.384089095852E-09 -.359097603163E-08 1.9091E-15 1.9053E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 8 0.252126202277E-08 -.871654704202E-10 1.0156E-15 9.9928E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 9 0.115114334733E-08 -.117787314730E-08 1.1632E-15 1.1747E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 10 0.902519234006E-09 0.372627637628E-08 1.0223E-15 1.0969E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 11 -.941083964658E-09 -.155463169990E-09 9.3094E-16 9.1227E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 12 -.315795758054E-09 -.195881057393E-08 8.2609E-16 8.4125E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 13 0.211752775550E-08 -.449468276341E-08 8.5161E-16 7.9793E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 14 -.355757115955E-09 -.440327181191E-08 8.5265E-16 9.6485E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 15 -.246746411846E-09 -.203072562765E-08 1.1302E-15 6.6313E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 16 -.526300989001E-09 0.107517600492E-08 8.8029E-16 7.6235E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 17 0.956800649826E-09 0.130126113120E-08 8.0615E-16 8.0044E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 18 0.342536231636E-09 -.409759378299E-08 8.4287E-16 8.4572E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 19 0.111729905738E-08 0.145517384243E-08 8.6654E-16 8.0652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 20 0.290108369311E-08 -.867341004246E-10 7.9814E-16 8.8514E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 21 -.911494731504E-09 0.369463033902E-08 8.3490E-16 8.2338E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 22 -.192809758364E-08 0.741075470239E-09 8.5152E-16 8.6955E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 23 -.508946706050E-09 0.987075845300E-09 8.4523E-16 8.6471E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 24 -.208851117945E-08 0.495864638367E-09 9.0369E-16 8.8589E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 25 -.622672574477E-09 0.571456717273E-10 8.8149E-16 8.3503E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 26 -.235201267573E-08 -.638075098550E-09 8.7817E-16 8.6800E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 27 -.899310427040E-09 -.183552970520E-08 9.3965E-16 8.3677E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 28 -.193013537309E-08 0.179857336623E-08 8.8254E-16 8.3693E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 29 -.120233520034E-08 -.193742977042E-08 8.5630E-16 8.1069E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 30 -.120249646399E-08 0.132367461567E-08 8.1432E-16 7.1829E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 31 0.176616038444E-08 0.206519655081E-08 7.9003E-16 6.9813E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 32 0.136446536474E-08 0.953812277284E-09 7.5434E-16 7.6290E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 33 -.270315191085E-09 -.728884121771E-09 6.9466E-16 7.0252E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 34 0.169399461001E-08 0.186576387975E-08 6.7457E-16 7.0749E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 35 0.106419164105E-08 -.225956695721E-08 6.5090E-16 7.0364E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 36 -.822497486120E-10 0.119694730338E-08 6.7263E-16 6.7590E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 37 0.850732033583E-09 -.222231925593E-08 6.7841E-16 6.2998E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 38 0.120960478397E-08 -.238844440708E-08 7.0357E-16 7.2206E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 39 -.102258535338E-10 0.232247499789E-08 6.8656E-16 7.1451E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 40 -.424339176102E-09 0.121941252827E-09 7.6251E-16 8.0408E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 41 0.112698557547E-08 0.320758991100E-09 8.9226E-16 9.1051E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 42 -.145602376329E-08 0.201524127313E-08 9.4136E-16 9.6092E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 43 0.529567174743E-09 -.455507077322E-09 1.1130E-15 1.0305E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 44 0.161859551742E-08 0.647801959288E-09 1.1078E-15 1.1264E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 45 -.222386825714E-08 -.254505944221E-08 1.1156E-15 1.1994E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 46 0.242979428530E-08 0.207718625014E-08 1.2241E-15 1.3578E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 47 -.301873618242E-10 -.131383248879E-08 1.2775E-15 1.3286E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 48 -.742105110157E-09 -.174553494681E-08 1.3591E-15 1.4090E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 49 0.101203720552E-08 0.580741724403E-09 1.6110E-15 1.5656E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 50 -.110053993681E-08 -.316377038093E-08 2.0281E-15 2.0458E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 51 -.155095033293E-08 0.706833036437E-09 2.6394E-15 2.6021E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 52 0.328317875578E-08 0.902550535195E-10 3.3456E-15 3.4047E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 53 -.270551154946E-08 0.102369164585E-08 4.2808E-15 4.1077E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 54 -.674517107236E-09 0.727937396016E-09 4.7108E-15 4.7103E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 55 -.389849753523E-08 -.184324170947E-08 5.1518E-15 5.1292E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 56 0.112124856860E-08 0.386152382689E-09 5.3482E-15 5.4093E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 57 -.839550738620E-09 0.970533548953E-09 5.0579E-15 5.0378E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 58 -.828552060338E-09 -.173344886259E-08 4.4043E-15 4.4284E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 59 0.392339576027E-09 0.918378614330E-09 3.8203E-15 3.8786E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 60 -.485996242668E-09 0.105885900774E-08 3.4506E-15 3.3638E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 61 -.108213228221E-08 0.430693089287E-08 3.0710E-15 2.9381E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 62 -.988237775810E-09 0.433262173294E-08 2.5930E-15 2.6106E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 63 -.734039379262E-08 0.321176161690E-10 2.2450E-15 2.2024E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 64 -.262569927251E-09 -.174459314033E-08 1.7933E-15 1.7673E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 65 -.419251962911E-08 -.250834175384E-09 1.5131E-15 1.4742E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 66 -.316066854506E-09 -.350289997564E-08 1.1505E-15 1.1592E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 67 -.205769943019E-08 0.576238834115E-09 9.9289E-16 1.0103E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 68 0.150357049525E-08 -.122129009279E-08 7.2859E-16 7.2967E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 69 0.378463817325E-08 -.998441919425E-10 7.4762E-16 7.5295E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 70 0.198997450726E-08 -.465894336629E-09 6.5209E-16 5.9934E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 71 -.142872848362E-08 0.141611525706E-08 5.8841E-16 6.0498E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 72 -.227018940934E-08 0.189983934901E-08 9.4851E-16 8.3890E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 73 -.112927438696E-08 0.326107904821E-08 4.7395E-16 4.2542E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 75 74 -.201441234305E-08 -.674979247126E-10 1.0660E-15 1.0203E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 75 75 0.849170186901E-09 0.537574177447E-10 1.7412E-15 1.3721E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 0 0.145904145272E-08 0.000000000000E+00 1.0054E-14 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 76 1 0.144824616153E-08 -.762562815627E-09 1.0254E-14 1.0208E-14 20230101.0000 20230201.0000 yyyy +GRCOF2 76 2 -.166289430381E-08 0.194407648802E-08 6.5263E-15 6.4488E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 3 -.728489123115E-09 -.237437493766E-08 5.1940E-15 5.2695E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 4 0.212949614142E-08 -.216985098598E-08 6.6216E-15 6.6450E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 5 0.719389041415E-09 0.901459574177E-10 3.6533E-15 3.7272E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 6 0.252031830947E-08 0.227496121094E-08 1.9250E-15 1.8934E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 7 0.161748376212E-08 -.258765030743E-08 1.6977E-15 1.7189E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 8 0.223200231230E-08 0.771344547840E-10 1.2125E-15 1.2150E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 9 0.163947656251E-10 0.150525912394E-08 7.7611E-16 8.1779E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 10 0.622508714043E-09 0.540131947383E-10 8.1824E-16 8.7965E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 11 -.343146113783E-10 -.150461195373E-08 8.1519E-16 7.9748E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 12 0.129197957795E-08 0.135407704205E-08 7.6146E-16 7.8057E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 13 0.561868683862E-09 -.161527257167E-08 7.4956E-16 7.1876E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 14 0.101800249041E-08 -.243524680282E-08 8.3746E-16 9.2181E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 15 0.247328268510E-08 -.175316180873E-08 1.0778E-15 5.8446E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 16 0.215210335329E-08 0.156705154248E-09 8.2733E-16 6.7239E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 17 0.223008172915E-08 0.126239431814E-08 7.2684E-16 6.9348E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 18 -.160071782489E-08 -.796688673143E-09 7.8928E-16 7.9075E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 19 0.956762592169E-09 0.233894375292E-08 7.9643E-16 7.2619E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 20 0.113418851223E-08 0.195248686827E-08 7.8394E-16 8.2500E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 21 0.769319707536E-09 0.476668247474E-08 8.1908E-16 7.4171E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 22 -.680060862179E-09 -.959876585590E-09 7.7157E-16 7.8702E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 23 -.922229141341E-09 -.187722429006E-08 7.8187E-16 8.2550E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 24 0.789155218250E-09 0.207353559839E-08 8.0910E-16 8.2140E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 25 0.427329991249E-08 -.142320080729E-08 8.1613E-16 8.1177E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 26 0.133202956591E-08 0.321571404484E-08 7.8419E-16 7.7663E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 27 -.136077390707E-08 -.134401314655E-08 8.0621E-16 7.4189E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 28 0.388111029529E-09 0.154488217613E-09 7.7398E-16 7.7252E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 29 -.164580436843E-08 -.309553612684E-09 7.5050E-16 7.3832E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 30 -.162337084999E-08 0.201399972587E-08 7.4220E-16 6.6455E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 31 -.909959708531E-09 -.141085822213E-08 7.0154E-16 6.1815E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 32 -.163326244116E-08 -.100898771685E-08 6.3303E-16 6.5504E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 33 -.624075607933E-10 -.541464318341E-09 6.0065E-16 6.3487E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 34 0.189072910956E-08 -.204914179717E-08 5.9890E-16 6.2659E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 35 -.710222535912E-09 -.191880857767E-08 5.9433E-16 5.9012E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 36 0.538799181397E-09 -.514850401367E-09 6.2105E-16 5.8581E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 37 0.258624850301E-08 -.874074913790E-10 6.1661E-16 5.8525E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 38 0.120186332324E-08 0.484749269801E-09 5.6798E-16 6.2149E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 39 0.195730862811E-08 0.392764888632E-08 6.2828E-16 6.5198E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 40 -.131330601785E-08 -.153342289140E-08 6.4955E-16 6.6644E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 41 -.256397659447E-08 0.117751054654E-08 7.8169E-16 8.0043E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 42 -.387671269804E-08 -.123543278851E-08 8.5648E-16 8.6456E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 43 -.612696904282E-09 -.330187201539E-08 9.6178E-16 8.9043E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 44 0.629796092928E-09 -.384505495665E-09 9.8384E-16 1.0243E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 45 -.905475011447E-09 -.140188027940E-08 1.0245E-15 1.0780E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 46 0.152435585897E-08 0.278723500148E-09 1.0393E-15 1.0883E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 47 0.122321189053E-08 -.268054942247E-08 1.1276E-15 1.1769E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 48 0.325682690522E-08 0.174140128252E-08 1.1616E-15 1.2126E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 49 0.331455845264E-08 0.223511231105E-09 1.3504E-15 1.3376E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 50 -.321704441341E-08 0.861721890376E-09 1.6811E-15 1.7189E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 51 -.915194373948E-09 0.266848436026E-09 2.1939E-15 2.1567E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 52 -.233135975503E-08 -.780152677269E-09 2.7219E-15 2.7577E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 53 -.112516258979E-08 0.176288969393E-08 3.5359E-15 3.3846E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 54 0.135468083128E-08 -.186526252941E-08 4.0243E-15 4.0429E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 55 -.158401054656E-08 -.112614675249E-08 4.4997E-15 4.4852E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 56 0.641598132184E-09 -.120360716044E-08 4.8146E-15 4.8562E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 57 -.315678225754E-08 0.875003690438E-09 4.9686E-15 4.8818E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 58 -.130516409265E-08 -.266038104148E-08 4.5826E-15 4.5628E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 59 0.363841988108E-09 -.160300628442E-08 3.9620E-15 4.0248E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 60 -.160958283549E-08 0.191258361910E-09 3.5118E-15 3.4326E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 61 -.330152940877E-09 0.216466998411E-09 3.2394E-15 3.0773E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 62 0.328662916495E-08 -.353159922585E-08 2.7162E-15 2.7382E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 63 -.153895112424E-08 0.132906566086E-08 2.3787E-15 2.3687E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 64 0.404704421758E-09 -.270790711382E-08 2.0292E-15 1.9814E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 65 0.165795783878E-08 0.226384292958E-09 1.6227E-15 1.5887E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 66 -.113033835011E-08 0.222554860757E-08 1.3429E-15 1.3292E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 67 -.141544068170E-08 0.485249540551E-09 1.0295E-15 1.0578E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 68 -.153837073350E-08 -.143086895232E-08 9.2690E-16 8.7610E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 69 -.234383606352E-08 0.489354923248E-09 6.4452E-16 6.6352E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 70 0.316423938558E-09 0.174693448062E-08 6.9197E-16 6.3623E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 71 0.249557945479E-08 -.312977673964E-08 4.9822E-16 4.3783E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 72 0.626563923453E-09 -.118993316168E-08 7.2655E-16 6.6255E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 73 0.379471142327E-09 -.181357993265E-09 4.6094E-16 5.1918E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 74 0.462955976517E-09 -.190450089505E-08 9.3025E-16 9.9614E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 76 75 0.487093311987E-08 -.760684766561E-09 1.0877E-15 1.4916E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 76 76 -.193729072694E-08 0.351444324371E-08 2.2808E-15 4.3479E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 0 0.262275545618E-08 0.000000000000E+00 8.6749E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 77 1 0.188734293425E-08 0.372099061996E-09 8.9726E-15 8.9078E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 2 0.102280562868E-08 0.230094485996E-08 5.6826E-15 5.6094E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 3 -.363993049161E-08 0.538186101738E-10 3.3470E-15 3.4404E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 4 -.312107703894E-09 0.767261882864E-09 5.9364E-15 5.9689E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 5 0.131489845736E-08 0.328007878391E-10 3.4908E-15 3.5637E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 6 -.655836933263E-09 0.647600936203E-09 2.3531E-15 2.3114E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 7 -.125264835745E-08 0.204021931516E-08 1.4820E-15 1.4787E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 8 0.207708932953E-08 -.996976915469E-09 7.8544E-16 7.4309E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 9 0.692635642784E-09 0.349833295745E-09 8.6043E-16 8.3623E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 10 -.955213776819E-09 -.619221726134E-09 8.6138E-16 8.6452E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 11 0.166244416414E-08 0.747398079399E-09 7.3857E-16 6.6337E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 12 0.334414832839E-08 0.550406475522E-09 7.1698E-16 6.9154E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 13 -.446265602869E-09 0.944796889029E-09 7.2321E-16 6.7768E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 14 0.307888053235E-08 -.575973403574E-09 7.7199E-16 8.2887E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 15 -.300290007132E-08 0.238636925764E-08 9.8257E-16 5.2992E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 16 -.155937569698E-08 0.637161211410E-09 7.5133E-16 6.2709E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 17 -.389099588687E-09 -.126714270720E-08 6.4254E-16 6.3658E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 18 -.118680222749E-09 -.178336384895E-10 7.0145E-16 7.4213E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 19 -.903538113032E-09 -.155602503920E-08 7.1838E-16 6.6613E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 20 0.473613897833E-09 0.248666543945E-10 6.8569E-16 7.3812E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 21 0.323596065355E-08 -.830688330041E-09 7.2464E-16 7.2030E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 22 -.186642890395E-08 -.211268136353E-08 6.4983E-16 7.4083E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 23 0.328796315321E-08 -.469637757467E-08 6.8360E-16 7.7038E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 24 0.119014219168E-08 0.218607403835E-08 7.1522E-16 7.5496E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 25 0.943377866790E-09 0.129879278146E-08 7.2960E-16 7.2588E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 26 0.131258432614E-08 0.169977025843E-08 7.4485E-16 7.0796E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 27 -.418662116579E-09 -.153617099762E-08 7.3843E-16 6.6504E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 28 0.197707519677E-08 -.387560044166E-08 7.0475E-16 7.0687E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 29 0.901676589147E-09 0.868933959813E-09 6.7409E-16 6.3990E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 30 0.215848232774E-08 0.324668503174E-09 6.9733E-16 6.1690E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 31 -.258962666621E-08 0.996524989453E-09 6.3381E-16 5.3396E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 32 -.141217847145E-08 -.559661040923E-09 5.9472E-16 5.6797E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 33 0.106310709612E-09 -.304053718800E-08 5.7860E-16 5.5497E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 34 -.999975669399E-09 0.388761725165E-09 5.8340E-16 5.5422E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 35 -.167907546602E-08 0.105494907022E-08 5.4077E-16 5.2963E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 36 0.703669256881E-09 -.215590403111E-08 5.5352E-16 5.4915E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 37 0.942751256802E-09 0.142686472013E-08 5.3605E-16 5.5458E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 38 -.605164349064E-09 0.161821213369E-08 5.3617E-16 5.8688E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 39 0.117585194841E-09 -.212923443363E-08 5.6827E-16 5.7374E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 40 0.283926467823E-09 0.106473322078E-09 5.9760E-16 6.4910E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 41 0.616090663048E-09 0.991313295291E-09 6.3869E-16 6.8752E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 42 -.188895911936E-08 -.147193239822E-09 7.7473E-16 7.8300E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 43 0.267934425800E-10 -.169994717809E-08 8.3588E-16 8.2129E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 44 0.505367834885E-10 0.227012739556E-08 8.4936E-16 8.6594E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 45 -.658693289339E-09 0.149077260337E-08 9.3414E-16 9.5949E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 46 -.133043014537E-08 -.139968859097E-08 9.8833E-16 1.0141E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 47 -.326275325858E-08 0.872334297006E-09 9.6960E-16 1.0139E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 48 0.171707428462E-08 -.161805515848E-08 1.0337E-15 1.0580E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 49 0.240872141173E-08 0.113659479561E-08 1.1732E-15 1.1388E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 50 0.150918866581E-08 -.478746663615E-09 1.3641E-15 1.3675E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 51 0.151761824135E-08 -.255271888428E-08 1.8170E-15 1.7436E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 52 0.519004500677E-10 0.246154320386E-09 2.2872E-15 2.3142E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 53 0.681481737003E-09 0.449744299679E-08 2.9125E-15 2.7875E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 54 -.138499016971E-08 0.275790845561E-08 3.3824E-15 3.4093E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 55 -.188637955602E-08 0.394376997258E-08 3.8734E-15 3.8373E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 56 -.115359185796E-08 0.228265967476E-08 4.2200E-15 4.2411E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 57 -.427907749250E-08 0.797288065464E-09 4.5375E-15 4.4619E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 58 -.162291139089E-08 -.315029204597E-08 4.5160E-15 4.5446E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 59 -.586709976865E-09 -.179786644793E-08 4.1170E-15 4.2218E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 60 -.108703320464E-08 0.127409218927E-08 3.6573E-15 3.5671E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 61 0.447545077095E-09 -.889508313396E-09 3.2163E-15 3.0845E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 62 -.385127883788E-09 0.269253862411E-08 2.7795E-15 2.8136E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 63 -.118129720345E-08 -.987545522324E-09 2.4920E-15 2.4806E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 64 0.168432053981E-08 -.240313553880E-08 2.1712E-15 2.1422E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 65 -.323074452364E-08 0.154216435170E-08 1.8392E-15 1.8057E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 66 -.326085392829E-08 -.345406218871E-08 1.4658E-15 1.4648E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 67 0.252563276443E-08 0.270121880798E-08 1.2243E-15 1.2518E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 68 0.509620991308E-10 0.165797247545E-08 9.5247E-16 9.5257E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 69 0.447152766751E-08 0.820744951133E-09 8.6544E-16 8.6697E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 70 -.111131602582E-08 -.135182810811E-08 6.5091E-16 6.1156E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 71 -.103441806918E-08 -.916921421668E-09 6.6046E-16 7.0087E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 72 -.379286151908E-08 -.142677652402E-08 6.3356E-16 5.8266E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 73 -.130947771592E-08 -.151007862741E-08 5.6999E-16 5.0955E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 74 0.139876304812E-08 -.179593280751E-08 7.4970E-16 6.6493E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 75 0.429459269606E-08 0.788215587890E-10 6.0581E-16 5.8016E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 77 76 0.483970241492E-09 0.752997798098E-09 1.5386E-15 1.1788E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 77 77 -.215639466842E-08 -.289417046942E-10 1.6257E-15 1.3797E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 0 0.351235321594E-10 0.000000000000E+00 7.6152E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 78 1 -.144304701171E-08 0.206919647722E-08 7.9474E-15 7.8950E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 2 -.251370420018E-09 0.700580720425E-09 5.0475E-15 4.9551E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 3 -.288694927023E-08 0.402417486678E-09 4.2855E-15 4.3271E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 4 0.221390085047E-08 -.572213634107E-09 5.3011E-15 5.3276E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 5 -.220809634216E-08 0.214612257437E-08 2.8690E-15 2.8911E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 6 -.402756254464E-08 -.162477724931E-08 1.4870E-15 1.4241E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 7 -.148878484982E-08 0.980883496253E-09 1.2798E-15 1.2419E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 8 0.374208521446E-09 -.188277122055E-08 9.5379E-16 8.9512E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 9 -.249079873536E-09 0.139256286681E-08 5.9596E-16 5.6217E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 10 -.764365361964E-09 0.325554415598E-09 7.0460E-16 6.7862E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 11 -.400369521110E-09 0.626133210999E-09 6.7291E-16 6.1199E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 12 0.160722534309E-08 0.136939918095E-08 6.2761E-16 6.2675E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 13 -.160026211864E-08 -.109705103669E-08 6.7009E-16 6.5978E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 14 -.866810527166E-09 0.541420970996E-10 7.5694E-16 7.9951E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 15 -.570395795474E-09 0.303516882261E-08 9.0061E-16 5.0539E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 16 -.722310880796E-09 -.117170785298E-08 6.3320E-16 6.0612E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 17 -.860210685048E-09 -.223351629003E-08 5.8177E-16 6.4378E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 18 -.250148343350E-08 -.169668093313E-08 6.1141E-16 6.7411E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 19 -.370945300838E-08 -.592900409107E-09 7.0021E-16 6.3394E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 20 0.142095673755E-09 0.211475840581E-08 6.5177E-16 6.6017E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 21 0.442390666075E-09 -.196974963501E-08 7.0546E-16 6.4343E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 22 0.258177122617E-08 0.551481053087E-09 6.3709E-16 6.6019E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 23 0.282743820148E-10 -.461581641591E-08 6.5517E-16 6.6293E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 24 0.100087325959E-08 0.172722594752E-08 7.1334E-16 6.7134E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 25 -.139394120618E-08 0.189263130481E-08 6.9704E-16 6.4856E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 26 -.597368840943E-09 -.287722036274E-08 6.9431E-16 6.4417E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 27 -.151874133263E-08 -.238189777306E-08 6.4614E-16 5.9728E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 28 0.300298866254E-08 -.343928191401E-08 6.0678E-16 6.2118E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 29 0.221664465398E-08 0.179641407043E-08 6.1992E-16 6.0509E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 30 0.186704850965E-08 -.138419886747E-08 5.9651E-16 5.5460E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 31 0.479999568026E-09 0.844935132970E-09 5.5207E-16 5.3625E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 32 0.248574221329E-08 -.120156529286E-08 4.7137E-16 5.3198E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 33 0.863606825785E-09 0.114282888858E-08 4.5496E-16 5.1395E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 34 -.137807837218E-09 0.173331840031E-08 4.8302E-16 5.2862E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 35 -.239141786628E-08 0.142298240150E-08 4.6725E-16 4.9323E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 36 -.387362972575E-08 0.375429509774E-09 4.6921E-16 4.9923E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 37 0.802378360641E-09 0.122560186281E-08 4.8692E-16 4.9242E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 38 -.139056405192E-08 0.214055654032E-08 4.6615E-16 5.2546E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 39 -.450981061183E-08 -.298864476419E-08 4.9560E-16 5.1900E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 40 0.240775462521E-08 -.154704870247E-08 5.0710E-16 5.5917E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 41 0.256402899703E-08 -.244242751655E-08 5.8550E-16 6.1311E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 42 -.157582485657E-08 -.140156350269E-08 6.6826E-16 6.6328E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 43 0.192989791352E-08 -.190486843463E-08 7.8909E-16 7.4787E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 44 0.273962016434E-09 0.193411765058E-08 7.6594E-16 7.5822E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 45 -.485788036697E-09 0.243486092351E-08 8.2642E-16 8.5626E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 46 -.138276820062E-08 0.112158492847E-08 8.5100E-16 8.7836E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 47 -.547436389591E-09 0.285272902923E-09 8.6667E-16 8.9565E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 48 -.460429790828E-09 -.176497448101E-09 9.0814E-16 9.1558E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 49 -.481074345192E-09 0.237560267295E-08 9.9909E-16 9.8731E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 50 0.179730151702E-08 0.842934698969E-09 1.1315E-15 1.1422E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 51 -.110635975372E-08 -.316016901539E-09 1.4779E-15 1.4068E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 52 0.781667763538E-09 0.295870747567E-09 1.8947E-15 1.9481E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 53 -.220846062407E-08 -.106108392920E-08 2.4143E-15 2.3186E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 54 -.362925126021E-08 -.386730631682E-09 2.8083E-15 2.8198E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 55 -.904088745107E-09 0.158385265650E-08 3.2483E-15 3.1885E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 56 0.610626783719E-09 -.408192754708E-09 3.6532E-15 3.6821E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 57 -.184373091373E-08 -.338148866873E-09 3.9858E-15 3.9356E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 58 -.230670924726E-08 -.334544531381E-08 4.1736E-15 4.2178E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 59 -.103054217050E-08 -.130761611711E-08 4.1518E-15 4.2086E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 60 -.166084335416E-09 0.624747424739E-09 3.8531E-15 3.7453E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 61 0.431469278849E-09 -.629910977119E-10 3.4579E-15 3.2400E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 62 -.193659528274E-08 -.899945338900E-09 2.8523E-15 2.8805E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 63 -.253187892946E-09 -.984559946612E-09 2.5586E-15 2.5485E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 64 -.321991766655E-08 -.281048662172E-08 2.2946E-15 2.2631E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 65 0.183924753636E-08 0.146721184921E-08 1.9914E-15 1.9670E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 66 -.101115640619E-08 -.931265322624E-09 1.6648E-15 1.6442E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 67 0.134453472356E-08 0.189705435837E-09 1.3387E-15 1.3662E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 68 -.119201467439E-08 -.100383966044E-08 1.1445E-15 1.1160E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 69 -.223603473033E-09 -.180542563465E-09 8.8647E-16 8.9567E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 70 -.725090377364E-09 -.104363436340E-08 7.8467E-16 7.4982E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 71 -.865263725353E-10 0.165356608261E-08 5.8936E-16 5.6683E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 72 0.152080938311E-08 0.271852534142E-08 7.2292E-16 6.5041E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 73 -.289266065781E-08 0.369401026482E-08 4.2716E-16 4.4620E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 74 0.320343491497E-08 -.230623952820E-09 6.8722E-16 8.6444E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 75 -.643914396384E-09 -.883284685103E-09 6.9162E-16 9.9156E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 78 76 -.133085354730E-08 0.228859916556E-08 1.2802E-15 1.3861E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 77 -.180992742999E-08 -.209559982895E-08 1.8501E-15 1.5703E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 78 78 0.322513468013E-08 -.130164982490E-08 3.3604E-15 3.4924E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 0 -.992840003972E-09 0.000000000000E+00 6.5696E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 79 1 -.879534872314E-09 0.123777124420E-08 6.9826E-15 6.9193E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 2 -.285820124842E-09 -.558204843361E-09 4.4242E-15 4.3355E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 3 -.191253051270E-08 0.388435335031E-08 2.8054E-15 2.8710E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 4 -.168290937450E-08 -.142127392845E-08 4.7518E-15 4.7882E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 5 -.191683646904E-08 -.898796822776E-09 2.6488E-15 2.6685E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 6 -.259756468128E-08 -.134649238137E-08 1.7845E-15 1.7567E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 7 0.899432706209E-09 -.653927792926E-09 1.1906E-15 1.1916E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 8 -.419844484374E-10 0.175816083054E-08 5.5940E-16 5.6195E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 9 -.748189465478E-09 0.170861853968E-08 6.8887E-16 6.7706E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 10 -.142860806845E-08 0.761643993452E-09 6.3989E-16 6.4927E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 11 -.317200175442E-09 -.273816900006E-08 6.5370E-16 5.9536E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 12 -.121093481211E-08 0.168712813294E-08 5.6014E-16 5.4597E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 13 -.257641286507E-08 0.226197373613E-09 6.7274E-16 6.5166E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 14 -.513783362091E-09 -.133998694556E-08 6.8264E-16 7.1452E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 15 -.321217260528E-08 0.355475422843E-09 8.1708E-16 4.7670E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 16 -.412033696083E-08 -.158114605832E-08 5.8779E-16 5.6974E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 17 0.823903747878E-09 0.747184531582E-09 5.6304E-16 5.8668E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 18 0.595992446422E-09 -.481078030882E-10 5.6929E-16 5.9009E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 19 -.360291108617E-08 0.877888217507E-09 6.3233E-16 5.4053E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 20 -.675532254573E-09 0.115258077399E-08 5.9613E-16 6.2644E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 21 -.702094490813E-09 0.189556679901E-09 6.0701E-16 6.0699E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 22 0.151555231878E-08 -.192071763074E-08 5.8614E-16 6.4269E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 23 -.170047075936E-08 0.244802460720E-08 5.8044E-16 6.0952E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 24 0.854418180113E-09 -.150279169150E-08 6.1693E-16 6.2931E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 25 -.251903102860E-08 0.100055543111E-09 6.2146E-16 6.0519E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 26 0.906657494619E-09 -.286907697619E-08 6.0745E-16 6.0153E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 27 -.143920309674E-08 0.758184094860E-10 5.9407E-16 5.7893E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 28 0.236265632450E-09 -.120109206012E-09 5.3995E-16 5.6878E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 29 0.362809040887E-09 0.189981822149E-08 5.5103E-16 5.3067E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 30 -.896389061489E-09 -.574747202331E-09 5.6090E-16 5.1551E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 31 0.237333822761E-08 0.248455262446E-09 5.1831E-16 4.5160E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 32 -.754856253837E-09 -.264347977985E-08 4.9141E-16 4.8570E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 33 0.285113226710E-08 0.630691990512E-09 4.5086E-16 4.0338E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 34 0.140496123435E-08 -.213203128438E-09 4.9640E-16 4.4860E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 35 -.204481827341E-08 -.914551381907E-09 4.6182E-16 4.3161E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 36 -.155297770547E-08 0.408132028688E-09 4.4488E-16 4.4399E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 37 0.330457873949E-09 -.165867127026E-08 4.4435E-16 4.4652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 38 -.190458896910E-08 0.148321855614E-08 4.5397E-16 4.9178E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 39 -.141588291029E-08 -.892443631883E-09 4.6808E-16 4.7030E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 40 0.316255412573E-08 -.969631708642E-09 4.8465E-16 5.1145E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 41 -.132121226015E-08 -.818065116559E-09 5.3366E-16 5.4410E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 42 -.145816491192E-08 0.455271964987E-10 5.9738E-16 5.7970E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 43 0.187243804282E-08 -.107712664057E-08 6.7551E-16 6.4484E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 44 0.122542436504E-08 -.262915873729E-08 7.1883E-16 6.9687E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 45 -.403182415437E-09 -.190937063829E-10 6.9306E-16 7.3117E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 46 0.702449671358E-09 0.146359794848E-08 7.8373E-16 7.9249E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 47 0.110066988533E-08 -.458637404799E-09 7.7694E-16 8.1881E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 48 0.653171446913E-09 -.141866371305E-09 7.9724E-16 8.1099E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 49 0.762206267273E-09 0.136128684568E-08 8.7134E-16 8.7152E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 50 -.697324660679E-09 0.277785595736E-08 9.8862E-16 9.7888E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 51 0.304743636011E-09 0.127542354269E-08 1.2127E-15 1.1602E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 52 0.185855129301E-09 -.217535830629E-08 1.5359E-15 1.5765E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 53 0.136283079595E-09 -.312037887233E-08 2.0455E-15 1.9393E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 54 -.241645615507E-08 -.158043654931E-08 2.3649E-15 2.3660E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 55 0.199570508983E-08 0.660409107137E-10 2.6875E-15 2.6429E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 56 0.114951928852E-08 -.687567758083E-09 3.0791E-15 3.1265E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 57 -.672888802816E-09 0.600061005671E-09 3.4693E-15 3.4108E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 58 0.223939412957E-08 -.279834641888E-08 3.6918E-15 3.7236E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 59 0.419253203124E-08 -.795467487970E-09 3.9128E-15 3.9307E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 60 0.198254477732E-08 -.187541845261E-08 3.9104E-15 3.8204E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 61 0.114211581359E-08 0.135224246076E-08 3.5319E-15 3.3586E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 62 0.799887738395E-09 0.241261616460E-08 2.9715E-15 2.9992E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 63 -.228991810759E-08 0.129014670788E-08 2.6368E-15 2.6223E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 64 -.796203912145E-09 0.278021224145E-08 2.3530E-15 2.3260E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 65 -.103501186625E-08 0.646406515077E-08 2.1121E-15 2.0759E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 66 -.596188091609E-08 -.305853856719E-08 1.8098E-15 1.7990E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 67 -.659858329515E-09 -.103930027939E-09 1.5080E-15 1.5491E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 68 -.224331419046E-08 0.121253887925E-08 1.2448E-15 1.2488E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 69 -.236508150300E-08 -.352472359662E-08 1.0555E-15 1.0717E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 70 0.392657751478E-08 0.240437732689E-08 8.1824E-16 8.2121E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 71 0.208081075560E-08 0.382663394482E-09 7.4952E-16 7.9224E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 72 0.443737019051E-09 0.109562820844E-08 5.9909E-16 5.7284E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 73 -.293533042229E-08 -.891004028455E-09 6.5390E-16 5.9923E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 74 0.127554942033E-08 0.837440758791E-09 5.6449E-16 4.9669E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 75 -.164482113931E-08 0.209835452953E-08 5.0009E-16 5.1498E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 76 -.575321241457E-09 -.914455853914E-10 9.9628E-16 1.0178E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 79 77 -.221428148552E-08 0.255664060970E-09 6.1574E-16 6.2066E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 78 -.221276518843E-08 0.547940087809E-09 8.4420E-16 8.4649E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 79 79 -.125153881113E-08 0.132865716739E-08 1.3156E-15 1.2538E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 0 -.145612699867E-10 0.000000000000E+00 5.7561E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 80 1 -.875793157788E-10 -.969075659626E-09 6.1965E-15 6.1504E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 2 -.215158290203E-08 -.109588177153E-08 3.9444E-15 3.8485E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 3 0.237341960858E-08 -.579660355127E-09 3.5178E-15 3.5507E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 4 -.247165102189E-08 -.106733618702E-08 4.2352E-15 4.2696E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 5 0.676547257535E-11 0.911048136205E-09 2.2740E-15 2.2724E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 6 0.922337374576E-10 0.665755958107E-10 1.0917E-15 1.0628E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 7 0.335685324258E-09 -.640261153293E-09 9.9606E-16 9.8054E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 8 -.259822156804E-08 0.116548097585E-08 6.6579E-16 6.7730E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 9 0.389022283342E-09 -.180835644201E-08 4.8878E-16 5.0644E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 10 0.162687218113E-08 0.109332236270E-08 5.1835E-16 5.3046E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 11 -.748175030331E-09 -.994115843209E-09 5.5796E-16 5.3194E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 12 -.272517588057E-08 -.118846035149E-08 5.3477E-16 5.5369E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 13 -.995053680316E-09 -.165500409468E-08 5.7929E-16 5.6568E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 14 0.176468761848E-08 -.256351593374E-08 7.1422E-16 7.4915E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 15 -.477015802536E-09 -.924003738868E-09 6.9132E-16 3.6484E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 16 -.381887412480E-09 0.360887300227E-09 5.7322E-16 5.4817E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 17 -.105568913061E-08 -.171394714680E-08 5.4345E-16 5.2025E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 18 -.614299346254E-09 -.346656703726E-10 5.4352E-16 5.3481E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 19 0.421593977070E-09 0.233831109134E-08 5.9546E-16 5.0550E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 20 0.957786395941E-10 -.272547804912E-09 5.5210E-16 5.9077E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 21 -.301335248127E-08 0.286486098456E-08 5.5915E-16 5.5135E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 22 0.218868238585E-08 -.176539579587E-08 5.3871E-16 5.8133E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 23 -.642204438625E-09 0.403632348711E-08 5.4972E-16 5.7054E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 24 0.353059427835E-08 -.290404096899E-08 5.5080E-16 5.5904E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 25 -.678405970962E-09 -.619256870452E-09 5.8528E-16 5.6607E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 26 0.625106322097E-09 -.239280946674E-10 5.6340E-16 5.6132E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 27 0.829726797148E-09 0.229213107678E-08 5.4099E-16 5.1234E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 28 -.138728079517E-08 0.266951287998E-08 5.0039E-16 5.0657E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 29 -.107551208323E-08 0.928211640131E-09 4.9464E-16 4.7328E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 30 -.379725018859E-08 0.851074524025E-09 5.0849E-16 4.6362E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 31 0.257088691818E-08 0.349161855072E-09 4.7984E-16 4.2900E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 32 -.788138865877E-09 -.205725109905E-09 4.2196E-16 4.3499E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 33 0.178946553103E-09 -.244807181166E-08 4.1077E-16 3.9623E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 34 -.115723013237E-08 -.268254460608E-08 3.7613E-16 3.9648E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 35 0.486512946636E-09 -.279013692387E-08 4.0132E-16 4.3757E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 36 0.183257548599E-08 -.806655687632E-09 3.8571E-16 4.1733E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 37 0.902365419440E-09 -.392800128413E-08 4.0310E-16 3.9771E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 38 0.127425990341E-08 0.183382160163E-08 3.9779E-16 4.2070E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 39 -.111137874789E-08 0.921275369043E-09 4.3339E-16 4.0611E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 40 -.326348199252E-10 -.777701940948E-09 4.2711E-16 4.2376E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 41 -.671052216199E-09 0.256524379925E-08 4.7052E-16 4.8394E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 42 0.336683922029E-09 -.265197790613E-08 5.3218E-16 5.2929E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 43 0.362949847131E-09 -.300950170962E-09 6.1391E-16 5.8541E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 44 -.167760115150E-08 -.103575066722E-08 6.2609E-16 6.3090E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 45 -.326160348303E-09 -.172355297639E-08 6.4427E-16 6.9887E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 46 0.928617548812E-09 0.383436439402E-09 6.3940E-16 6.7686E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 47 -.296890933845E-08 -.189829248727E-08 7.0017E-16 7.5627E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 48 0.258085896392E-08 0.201879491325E-08 7.2602E-16 7.3344E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 49 0.179297422429E-08 0.811947730047E-09 7.6811E-16 7.5888E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 50 -.575255787225E-10 0.199862218166E-08 8.4608E-16 8.3214E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 51 0.832148765361E-09 0.209634756483E-08 1.0222E-15 9.7071E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 52 -.238199197975E-08 -.251053728490E-09 1.2454E-15 1.2713E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 53 -.699793732635E-09 -.811404212922E-09 1.7253E-15 1.6171E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 54 -.139591906878E-09 -.123239461597E-08 1.9792E-15 2.0065E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 55 0.210742344950E-08 0.105738410268E-08 2.2781E-15 2.2613E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 56 0.100677689000E-08 -.892481314204E-09 2.5485E-15 2.5989E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 57 -.711242516709E-09 0.104587347916E-08 2.9731E-15 2.9133E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 58 -.606021368054E-09 0.182600797594E-09 3.1829E-15 3.2335E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 59 0.759292173713E-09 0.544850786184E-09 3.4875E-15 3.4997E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 60 -.150585740967E-08 -.490034782869E-09 3.6781E-15 3.6388E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 61 0.130049593141E-08 0.762144886089E-09 3.5586E-15 3.4824E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 62 -.257714580113E-08 0.590409888035E-09 3.1369E-15 3.1637E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 63 -.470210089549E-08 -.526721144426E-09 2.7345E-15 2.7314E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 64 0.228532714175E-08 -.238033032822E-08 2.4142E-15 2.4002E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 65 -.808025012494E-09 -.288949375015E-08 2.1576E-15 2.1370E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 66 0.826957986952E-09 0.127409183668E-08 1.9203E-15 1.9077E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 67 0.382435500201E-08 0.394490455127E-09 1.6594E-15 1.6856E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 68 -.759136992302E-09 0.113303422724E-08 1.4184E-15 1.3941E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 69 -.541608934651E-09 0.198726247149E-08 1.1644E-15 1.1734E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 70 -.204322415139E-08 0.873386535896E-09 9.7353E-16 9.5621E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 71 -.409359555293E-08 0.860075184164E-09 7.9121E-16 7.6318E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 72 -.394080248301E-08 0.103645962885E-08 7.5901E-16 7.0830E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 73 0.135759208095E-08 -.419627753046E-09 5.1705E-16 5.1083E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 74 0.362170606047E-08 -.372574059675E-08 6.2561E-16 7.8897E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 75 0.606262556572E-08 0.152073182615E-08 5.0598E-16 6.1851E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 76 -.789038915312E-09 -.898597831398E-09 9.8391E-16 9.3850E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 77 0.152745189411E-08 0.105748182759E-08 1.1788E-15 1.0209E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 78 -.135854972064E-08 0.253868372821E-08 1.8875E-15 2.2001E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 80 79 0.102570085721E-09 -.668536430208E-09 8.5303E-16 9.2619E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 80 80 -.141014468603E-08 -.275463085267E-08 1.1699E-15 1.0907E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 0 0.890501181891E-09 0.000000000000E+00 4.9605E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 81 1 -.115387772690E-08 -.367531016100E-09 5.4635E-15 5.4187E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 2 -.117717087164E-08 0.325047039965E-09 3.4785E-15 3.3864E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 3 0.190435058192E-09 -.567930620995E-09 2.3407E-15 2.3891E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 4 -.790537519636E-09 0.195274868169E-08 3.8159E-15 3.8538E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 5 -.130889208757E-08 -.321156587920E-08 2.0189E-15 2.0085E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 6 0.991157987160E-10 0.114816019619E-08 1.3647E-15 1.3225E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 7 0.116873577056E-08 -.107082003386E-08 9.6893E-16 9.4941E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 8 -.120869654081E-08 0.139837634094E-08 4.6375E-16 4.4908E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 9 -.169198491272E-10 -.278989200044E-08 5.3519E-16 5.0013E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 10 0.128096697988E-08 -.205279107324E-08 5.4612E-16 5.4817E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 11 0.754482589476E-09 -.273108048138E-08 5.1400E-16 4.5427E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 12 -.189946271451E-09 -.263076851192E-08 5.3136E-16 5.3510E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 13 0.133297015172E-10 -.391850351696E-09 5.5991E-16 5.3061E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 14 0.124238366640E-08 -.198398676392E-08 6.1097E-16 6.3961E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 15 -.224235856785E-08 -.224359045894E-08 6.4720E-16 3.6791E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 16 0.163968834041E-08 -.187911529250E-08 4.9438E-16 4.7545E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 17 -.173659191036E-09 0.203187750111E-08 5.5583E-16 5.4428E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 18 0.291027411806E-09 -.634136779795E-09 4.3647E-16 4.5908E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 19 -.365752718274E-09 0.121544347443E-08 5.5694E-16 4.9969E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 20 0.206015738023E-09 -.169849373539E-08 4.8719E-16 5.3168E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 21 0.149856185785E-08 0.120816311329E-09 5.4589E-16 5.3686E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 22 0.135792633891E-08 0.358646257770E-09 4.9527E-16 5.1412E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 23 0.185975122176E-08 0.204395853390E-08 5.3570E-16 5.2230E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 24 -.994152104359E-10 -.116062837797E-08 5.1547E-16 5.0337E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 25 0.297964616631E-08 -.641465977069E-09 5.2829E-16 4.9112E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 26 -.589699102936E-09 0.926201680739E-09 5.0814E-16 5.1231E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 27 0.422528823218E-08 0.179984836922E-08 4.8678E-16 4.6757E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 28 -.240264636469E-08 0.203657826333E-08 4.6917E-16 4.8181E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 29 -.196391542652E-08 -.118357854480E-08 4.4092E-16 4.1490E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 30 -.563297718930E-09 -.292548616080E-09 4.6580E-16 4.0681E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 31 0.282918177005E-08 0.185036656912E-09 4.4303E-16 4.1822E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 32 0.269489552248E-08 0.148627063859E-08 4.1241E-16 4.1182E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 33 -.257871916969E-08 -.257888513099E-08 3.8966E-16 3.6347E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 34 -.178246125534E-08 0.230484435827E-08 3.7847E-16 3.9441E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 35 -.703852264143E-09 -.168574796426E-08 3.5166E-16 3.6211E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 36 0.191667305441E-08 0.105047415032E-08 3.9341E-16 3.9222E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 37 -.251063092807E-08 -.143851555628E-08 3.6299E-16 3.5860E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 38 -.161400920139E-08 -.348419768544E-08 3.7297E-16 4.0652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 39 -.667151832369E-09 -.551874815566E-09 3.7744E-16 4.0312E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 40 -.312297846310E-09 0.565012438335E-09 3.7564E-16 4.4529E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 41 0.140407941994E-08 -.169668526551E-08 3.8465E-16 4.6661E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 42 0.335528258268E-08 -.182645615965E-08 4.5471E-16 4.8831E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 43 0.120336623500E-08 0.249812150932E-08 5.2424E-16 5.4164E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 44 0.987228004287E-09 0.251228008612E-08 5.6619E-16 5.5151E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 45 0.252891546582E-08 -.678582703704E-09 5.8310E-16 6.1710E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 46 0.879764101818E-10 0.571338199556E-09 6.0494E-16 6.6489E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 47 -.372987092246E-08 0.149673503173E-08 5.9767E-16 6.3797E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 48 -.204544742057E-08 -.766549756558E-09 6.7072E-16 6.4842E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 49 -.266252751389E-08 0.884882918105E-09 6.8496E-16 6.6775E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 50 -.272028730451E-08 -.466751262218E-09 7.4017E-16 7.0788E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 51 -.162700883671E-08 -.883573543230E-09 8.7301E-16 8.3073E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 52 0.382338427730E-09 -.797827568870E-09 1.0641E-15 1.0745E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 53 0.191925660064E-08 -.329151792484E-08 1.4045E-15 1.3183E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 54 0.173214648350E-08 -.194817946320E-08 1.6669E-15 1.7031E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 55 0.125342613870E-08 0.107712123240E-08 1.9652E-15 1.9332E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 56 0.916298604179E-09 0.271547024572E-08 2.1679E-15 2.1839E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 57 -.182099762072E-08 0.173062078802E-09 2.4979E-15 2.4285E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 58 -.195193771875E-08 -.140961724271E-08 2.7020E-15 2.7638E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 59 0.411151125263E-09 -.117728582130E-08 3.0395E-15 3.0344E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 60 -.288042853387E-08 -.166667902080E-08 3.2700E-15 3.2691E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 61 0.227960111556E-08 -.226280776891E-08 3.4094E-15 3.3655E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 62 -.634645881091E-09 0.915792302360E-09 3.2327E-15 3.2695E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 63 -.211259206991E-08 -.861392617911E-09 2.8895E-15 2.8877E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 64 -.516659487665E-09 -.174729197599E-08 2.5175E-15 2.4978E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 65 0.239277083949E-08 0.251869857337E-08 2.2365E-15 2.1899E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 66 -.232912886206E-08 -.130249536052E-08 1.9839E-15 1.9603E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 67 0.346428999180E-08 -.366245968443E-08 1.7606E-15 1.7822E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 68 -.300043584277E-08 0.194259262354E-08 1.5389E-15 1.5418E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 69 -.632074795758E-10 -.225238865665E-08 1.3036E-15 1.3235E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 70 0.100339628724E-08 -.915970926849E-10 1.0696E-15 1.0897E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 71 0.398925833260E-08 0.295508075748E-08 9.1825E-16 9.4396E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 72 -.260225721395E-09 -.959532838767E-09 7.4646E-16 7.3409E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 73 0.300030748638E-08 0.118554716996E-08 7.2963E-16 6.7487E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 74 0.170303846507E-08 -.196429487751E-08 5.5491E-16 4.9930E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 75 -.177823404103E-08 0.187999904330E-08 5.5193E-16 5.3539E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 76 -.100919148654E-08 -.268013218996E-08 7.1990E-16 9.5986E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 77 0.226275768185E-08 -.984688852997E-09 4.7457E-16 5.0970E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 78 0.477836773477E-09 -.118617434207E-08 5.5129E-16 5.4974E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 79 -.150510347201E-08 -.114368266862E-08 4.0235E-16 3.9163E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 81 80 0.376878616437E-08 0.498272968914E-09 1.1732E-15 1.0984E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 81 81 0.177668107961E-08 0.375366262540E-08 1.3907E-15 1.5105E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 0 -.942469756516E-10 0.000000000000E+00 4.3376E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 82 1 -.160890223392E-08 0.297200603359E-09 4.8501E-15 4.8352E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 2 0.688446570226E-09 -.258239330225E-08 3.1155E-15 3.0302E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 3 -.683692344714E-09 -.144032165537E-08 2.8639E-15 2.9147E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 4 0.121383414380E-08 0.181921985989E-08 3.3917E-15 3.4338E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 5 -.338748362166E-08 -.753767169539E-09 1.8031E-15 1.7991E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 6 0.270949010213E-08 0.133397262436E-08 8.4228E-16 8.1489E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 7 0.116189509502E-08 -.340792836609E-08 7.6935E-16 7.6376E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 8 -.226058594710E-09 0.503452124636E-09 5.3118E-16 5.5539E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 9 0.144527826132E-08 -.526861091845E-09 3.7641E-16 3.8786E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 10 0.467438858260E-08 -.601094483282E-09 4.4269E-16 4.6056E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 11 0.388453702833E-09 -.405401239258E-09 4.6776E-16 4.3145E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 12 -.188316022422E-09 -.113943133062E-08 4.7016E-16 4.9649E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 13 0.167410080639E-08 -.107281580665E-09 5.1671E-16 5.0762E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 14 -.191745601686E-09 0.264478303859E-09 5.8510E-16 6.2842E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 15 0.681392953365E-09 -.318027732894E-09 5.6674E-16 3.7514E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 16 -.748562139998E-10 -.378309278223E-08 4.5673E-16 4.3063E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 17 -.300095576620E-08 0.810551390996E-09 5.3284E-16 5.0674E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 18 -.321627093802E-09 -.263596154716E-08 4.3416E-16 4.5027E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 19 0.483107270686E-09 0.100358082141E-08 4.9916E-16 4.4116E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 20 0.149459250402E-08 -.598935721347E-09 4.7794E-16 5.1940E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 21 0.109614748506E-08 -.360358516479E-08 4.5726E-16 4.6107E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 22 0.676475109482E-09 0.281420551499E-08 4.8893E-16 5.0698E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 23 0.292862646232E-08 0.339539308461E-10 4.6352E-16 4.5693E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 24 -.130314631670E-08 0.591472224534E-10 4.9458E-16 4.9130E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 25 0.387119445831E-08 -.177108431838E-08 4.5203E-16 4.4925E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 26 -.262374955721E-08 0.400910950753E-09 4.7027E-16 5.0222E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 27 0.102993839111E-08 -.108473645652E-08 4.5433E-16 4.3039E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 28 -.130222991969E-08 0.403963063706E-08 4.1806E-16 4.2934E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 29 -.106387851846E-08 -.204383691415E-08 4.1702E-16 3.9596E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 30 0.233030304732E-08 -.313301070971E-08 4.0916E-16 3.8350E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 31 0.322839442447E-08 0.172358886440E-08 4.1476E-16 3.8522E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 32 0.346776469534E-08 0.213313861332E-08 3.8774E-16 3.7163E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 33 -.351345131299E-08 -.362958668301E-09 3.6183E-16 3.2510E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 34 -.107976834833E-08 0.617915046290E-09 3.2710E-16 3.5357E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 35 -.806993935542E-10 -.373170285161E-09 3.2668E-16 3.3464E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 36 0.415501832606E-09 0.991589296007E-09 3.3762E-16 3.4968E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 37 -.184557838802E-08 0.156659313203E-08 3.6370E-16 3.4698E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 38 -.189170460310E-08 -.392527916432E-08 3.1134E-16 3.4371E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 39 0.366005791741E-10 0.235006168587E-08 3.5648E-16 3.5525E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 40 0.133829858624E-08 0.768654619687E-09 3.5368E-16 3.5642E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 41 -.682813493081E-09 -.395214606223E-09 3.7197E-16 3.9490E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 42 0.370420615052E-08 0.952272537137E-09 4.3794E-16 3.9481E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 43 0.237708257991E-08 0.382664571654E-08 5.0677E-16 4.5302E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 44 -.114940259082E-08 0.208185148001E-08 5.2514E-16 4.8418E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 45 0.831845295788E-09 -.304186563187E-08 5.2105E-16 5.4879E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 46 -.200092545089E-08 0.318303348100E-08 5.3180E-16 5.6379E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 47 -.658262631498E-09 0.168561993109E-08 5.4148E-16 5.8623E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 48 -.211574090771E-08 -.102252610753E-08 5.7249E-16 5.6859E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 49 -.185767901967E-08 0.136814165073E-08 6.2932E-16 6.3128E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 50 -.761191231641E-09 -.375435909619E-08 6.4860E-16 6.2125E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 51 -.589255842558E-09 0.721511613138E-10 7.5429E-16 7.1001E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 52 0.231598700475E-08 0.472319834044E-09 9.0252E-16 9.0758E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 53 0.931453063375E-09 0.958199962853E-09 1.1685E-15 1.1113E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 54 0.153206588963E-08 0.157662514207E-08 1.3997E-15 1.4348E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 55 -.596448621093E-09 0.105655323036E-08 1.6898E-15 1.6484E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 56 -.145119684825E-08 0.135309926543E-08 1.8697E-15 1.8848E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 57 -.213944020529E-08 -.249902927531E-08 2.0931E-15 2.0533E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 58 0.483080010474E-09 -.710755304816E-09 2.2557E-15 2.3596E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 59 0.288369210562E-08 -.240545732105E-08 2.6094E-15 2.5960E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 60 -.515205168204E-09 -.625146343574E-09 2.8326E-15 2.8506E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 61 -.787518428555E-10 -.136924814871E-08 3.0412E-15 3.0737E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 62 -.156356643439E-08 0.430527393727E-08 3.1325E-15 3.1620E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 63 -.127418297852E-08 0.893615911487E-09 2.9963E-15 2.9997E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 64 -.229644566152E-08 0.806534176683E-09 2.6808E-15 2.6569E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 65 -.268331149870E-08 0.571559734609E-09 2.3205E-15 2.2920E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 66 -.265437058225E-08 -.413437250100E-08 2.0372E-15 2.0335E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 67 -.879597198428E-09 -.385139618175E-08 1.8081E-15 1.8370E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 68 0.933740948222E-09 -.429645294778E-08 1.6287E-15 1.6341E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 69 0.523118776357E-08 -.288124162372E-08 1.4225E-15 1.4455E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 70 0.242046656430E-09 0.248239319746E-08 1.2041E-15 1.2039E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 71 0.117675429933E-08 -.902657163949E-09 1.0324E-15 1.0085E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 72 -.130356230064E-08 0.103183489889E-08 8.9095E-16 8.5554E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 73 -.115892087423E-08 -.162669039438E-09 6.8471E-16 6.6965E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 74 -.215342222766E-08 0.704674814395E-09 6.5443E-16 7.9225E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 75 -.742007411161E-09 -.108091026228E-09 5.2802E-16 5.3173E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 76 -.167317182837E-08 0.203721221553E-08 8.1747E-16 9.1213E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 77 -.197336733527E-09 -.129193570701E-08 6.8665E-16 5.6660E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 78 -.138041821406E-08 0.123174810693E-08 1.4047E-15 1.7377E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 79 0.354884262985E-09 -.103022082946E-08 5.7685E-16 6.2331E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 80 0.313641224700E-08 -.220984058017E-08 4.9061E-16 4.6921E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 82 81 -.620376993117E-09 0.512192006196E-09 1.0898E-15 1.1267E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 82 82 -.329565834595E-08 0.117167921544E-08 9.8946E-16 9.9931E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 0 0.617691944059E-09 0.000000000000E+00 3.7285E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 83 1 0.791265053615E-09 -.233479661432E-08 4.2911E-15 4.2666E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 2 -.690235552923E-12 -.178735612206E-08 2.7615E-15 2.6842E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 3 -.110232988092E-08 0.713836395959E-09 1.9198E-15 1.9774E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 4 0.154437178005E-08 -.206408086994E-08 3.0615E-15 3.0987E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 5 -.197656791390E-08 0.489730449279E-09 1.5309E-15 1.5079E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 6 0.454859776638E-08 0.117295543596E-08 1.0414E-15 1.0006E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 7 -.150383769893E-08 -.323910655517E-09 7.8034E-16 7.7144E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 8 0.608773791342E-09 0.918951303142E-09 3.9236E-16 4.1161E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 9 0.251012017502E-08 0.991406260712E-09 4.1729E-16 4.0859E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 10 0.286439704106E-08 -.103455247846E-08 4.4045E-16 4.7354E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 11 0.280472148754E-09 -.215495684998E-09 4.3842E-16 4.2518E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 12 -.144597413143E-08 0.371809547732E-08 4.2406E-16 4.9365E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 13 0.366331094732E-10 0.165167894129E-08 4.8698E-16 5.0966E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 14 0.412694242188E-09 -.319908051705E-09 4.7745E-16 5.3630E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 15 -.183679270369E-08 -.175850091570E-08 5.3727E-16 3.6445E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 16 -.137265054201E-08 0.666496481133E-09 4.3105E-16 4.0678E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 17 0.749974359409E-09 0.153179577760E-08 4.8031E-16 4.7003E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 18 -.317716425897E-08 -.901287519436E-09 3.9678E-16 4.3699E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 19 0.703930431875E-09 0.222395848607E-08 4.3704E-16 4.0050E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 20 -.299743191849E-08 0.874540912812E-09 4.4627E-16 4.7691E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 21 0.894046083429E-09 -.624059576031E-09 4.6705E-16 4.4877E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 22 -.362775448810E-08 -.930405465617E-09 4.4760E-16 4.2435E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 23 -.194428290049E-08 -.290204887001E-08 4.7222E-16 4.4273E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 24 -.131737291640E-08 0.110459620688E-08 4.1763E-16 4.3832E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 25 0.160519186314E-08 -.133284833130E-08 4.3988E-16 4.4142E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 26 0.185196412402E-08 0.370576538217E-09 3.8352E-16 4.0739E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 27 -.291586040540E-08 -.337197789799E-08 4.5248E-16 4.1391E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 28 0.142849027762E-08 0.160218273068E-08 3.8287E-16 3.7873E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 29 -.190288693536E-08 -.142782379887E-08 3.8226E-16 3.5912E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 30 0.127617796352E-08 -.335858293223E-09 3.7665E-16 3.2939E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 31 0.180318038294E-08 0.139463474817E-08 3.6797E-16 3.3831E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 32 0.605007907390E-09 -.184118775926E-08 3.9001E-16 3.5758E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 33 -.162071663243E-08 0.181336330533E-09 3.1764E-16 3.2815E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 34 0.118774512873E-08 -.448053961522E-08 3.0064E-16 3.6186E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 35 -.349480887603E-09 0.393323361213E-09 3.1162E-16 3.1592E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 36 0.222477079470E-08 0.137834712519E-08 3.1836E-16 3.2347E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 37 -.203420837356E-09 0.332679998612E-08 3.2562E-16 3.1817E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 38 -.580053514716E-09 -.836214074893E-09 3.4266E-16 3.5105E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 39 0.382832433265E-08 0.270823070296E-08 3.0188E-16 3.1236E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 40 -.189256596515E-08 0.280388744023E-08 3.3168E-16 3.7159E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 41 -.315975849312E-08 0.871644285774E-10 3.1783E-16 3.6709E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 42 0.139690585757E-08 0.126017595084E-08 3.8042E-16 3.7582E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 43 -.181500740676E-08 0.348402295079E-08 4.2948E-16 4.3526E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 44 -.234795393659E-09 -.300877474104E-09 4.6074E-16 4.5032E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 45 -.522476207636E-09 -.702687355278E-09 4.6223E-16 5.0440E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 46 0.193216528857E-08 -.807134637026E-09 5.0610E-16 5.3711E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 47 -.278873198380E-10 -.246212161600E-08 4.9999E-16 5.3361E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 48 -.104691426280E-09 0.792646253745E-10 5.2343E-16 5.0095E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 49 0.416850253014E-08 -.382358678828E-09 5.5085E-16 5.3363E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 50 0.118883144381E-08 -.100433933055E-08 5.9173E-16 5.5496E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 51 -.908493116652E-09 0.271677514145E-09 6.2767E-16 5.9695E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 52 -.200635494191E-08 0.247027767194E-08 7.4134E-16 7.4933E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 53 -.450395242347E-09 0.235539478312E-08 1.0035E-15 9.5724E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 54 -.373575965434E-09 0.803102686742E-09 1.1695E-15 1.1868E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 55 0.363631089818E-10 -.283348049279E-08 1.4041E-15 1.3589E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 56 -.777325046106E-10 -.156653803927E-08 1.5877E-15 1.6109E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 57 0.368736122670E-09 0.716171021326E-09 1.7937E-15 1.7680E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 58 0.781903913961E-09 0.145712728877E-08 1.9031E-15 1.9710E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 59 0.287549354370E-09 0.525000599788E-09 2.2082E-15 2.1614E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 60 -.297599265221E-08 -.645270901517E-09 2.4297E-15 2.4718E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 61 -.970631649770E-09 -.520140161802E-09 2.5826E-15 2.6881E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 62 0.327490929530E-09 -.409435396895E-09 2.8353E-15 2.8449E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 63 -.107421334299E-08 -.654239841399E-10 2.9159E-15 2.9221E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 64 0.836525270622E-09 0.294744236506E-09 2.7949E-15 2.7776E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 65 -.131144213112E-08 -.239498171259E-08 2.4673E-15 2.4298E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 66 -.154156275746E-08 -.171513041177E-08 2.1303E-15 2.1191E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 67 -.614439051878E-09 -.292359709049E-09 1.8750E-15 1.8876E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 68 0.648898814774E-09 0.219986859112E-08 1.6814E-15 1.6769E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 69 -.388091225689E-08 -.377920282385E-08 1.5127E-15 1.5201E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 70 0.795513684855E-09 0.103746382228E-08 1.3282E-15 1.3317E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 71 -.340632676489E-08 -.209441668049E-08 1.1343E-15 1.1437E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 83 72 -.166403866566E-08 0.940375700056E-10 9.7041E-16 9.6084E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 73 0.201576389760E-08 -.232377101646E-08 8.6230E-16 8.0939E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 74 0.247237515987E-08 0.409891600535E-09 6.6038E-16 6.4292E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 75 -.138679693617E-08 -.399918647453E-08 6.2776E-16 5.9923E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 76 -.191890514370E-08 -.356190297195E-11 6.6667E-16 8.9023E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 77 0.133254324720E-08 -.919382968646E-09 4.7452E-16 4.9853E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 78 -.361878465403E-08 0.281764479450E-08 4.0109E-16 3.9302E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 79 0.125380367751E-09 -.313922328633E-08 3.7497E-16 3.3709E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 80 -.304502788350E-09 0.142444928708E-08 7.8259E-16 7.1951E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 81 0.189539483239E-08 0.676245669859E-09 5.6935E-16 5.9936E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 82 -.334463751513E-09 -.162761152375E-08 6.3625E-16 6.5271E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 83 83 0.244921485124E-08 -.508707195107E-08 1.1231E-15 1.1784E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 0 0.298143267094E-08 0.000000000000E+00 3.2549E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 84 1 0.251790376726E-08 -.294538445486E-09 3.8080E-15 3.8045E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 2 0.871392665256E-09 0.785189010198E-09 2.4899E-15 2.4209E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 3 -.754265681649E-09 0.225929387592E-09 2.3104E-15 2.3653E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 4 -.986887692773E-09 -.465414252789E-09 2.7257E-15 2.7556E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 5 -.629851676361E-09 0.170856641098E-08 1.4256E-15 1.4104E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 6 -.387597314850E-09 0.171857710341E-09 6.5804E-16 6.3010E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 7 0.410029905511E-09 0.744687289848E-09 5.7937E-16 5.9742E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 8 -.116467005751E-08 -.104988458231E-08 4.3370E-16 4.7420E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 9 0.185043544272E-08 0.227005150399E-08 3.1104E-16 3.2172E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 10 -.822594654782E-10 -.171236883038E-09 3.5804E-16 3.9796E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 11 -.242451201953E-08 0.206356341123E-08 4.1592E-16 3.9322E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 12 0.954632144264E-09 0.157063741312E-08 3.8892E-16 4.4559E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 13 -.170327289561E-09 0.131872198972E-09 4.6285E-16 4.4924E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 14 0.291436842280E-09 0.281518163541E-08 4.8601E-16 5.0318E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 15 -.854474048674E-09 -.538127589034E-09 4.6549E-16 2.8842E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 16 -.227568424672E-09 0.132671187482E-08 4.2145E-16 4.0488E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 17 0.101353701477E-08 -.102150212870E-08 4.3423E-16 4.3183E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 18 -.459553033252E-08 0.332462573712E-08 3.7498E-16 4.2432E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 19 -.152218014276E-09 0.340588572605E-08 4.1799E-16 3.8621E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 20 -.325083171989E-08 0.186102755195E-08 3.9669E-16 4.2002E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 21 -.578018314131E-09 -.569807253623E-09 4.3707E-16 4.1967E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 22 0.399652598016E-09 0.773059104380E-09 4.1359E-16 3.9562E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 23 -.138299178674E-08 -.255616110059E-08 4.0972E-16 4.1494E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 24 -.404848242204E-09 0.732869780114E-09 3.8933E-16 4.3398E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 25 -.166580520196E-08 -.701158131575E-10 3.8044E-16 3.8775E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 26 0.320719282454E-09 -.200833898176E-08 3.9572E-16 4.1379E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 27 -.433858766156E-08 0.626230506569E-09 3.8368E-16 3.4198E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 28 0.277912657799E-08 -.127703115809E-08 3.8127E-16 3.9022E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 29 -.491166005710E-09 0.124728499519E-08 3.2122E-16 2.9678E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 30 0.216899985051E-08 0.664491159327E-09 3.6865E-16 3.4212E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 31 -.132682707406E-08 0.329884272266E-09 3.1851E-16 2.7791E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 32 -.167031970980E-08 -.224257468603E-08 3.4463E-16 3.3790E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 33 0.215884322866E-08 -.758226632670E-10 3.0748E-16 3.2398E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 34 0.738855128341E-09 -.493925345912E-08 2.8198E-16 2.9862E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 35 0.224342212304E-08 0.936946365730E-09 3.0424E-16 2.7833E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 36 0.192486311012E-09 -.472826385114E-10 2.8904E-16 2.9702E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 37 -.307702641792E-09 0.812070897836E-09 2.9532E-16 2.9353E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 38 -.130367277937E-08 0.148145953705E-08 2.8613E-16 3.2009E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 39 0.155531915927E-08 -.187609472353E-08 2.9560E-16 2.9749E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 40 -.546145413207E-09 0.154425682494E-08 2.7787E-16 2.9945E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 41 -.158363342850E-09 -.120040792412E-08 3.2373E-16 3.4348E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 42 -.504034553795E-09 0.254830424120E-09 3.4291E-16 3.1944E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 43 -.827989686201E-09 0.364835714290E-08 4.1415E-16 3.7420E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 44 -.104593068843E-08 -.224116047948E-08 4.1875E-16 4.0283E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 45 0.305804848984E-08 -.837896261402E-09 4.3677E-16 4.6624E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 46 0.110231790826E-08 -.967071609779E-09 4.3407E-16 4.4764E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 47 -.175298273947E-08 -.271458454642E-08 4.5351E-16 4.7521E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 48 0.213248469110E-08 0.454039104740E-09 4.6850E-16 4.6251E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 49 0.612622050674E-09 -.193652421388E-08 4.8093E-16 4.9015E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 50 0.830689131620E-09 0.226684137150E-08 5.0618E-16 5.1181E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 51 0.201022866368E-08 -.715216187351E-09 5.5767E-16 5.5105E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 52 -.335898452196E-09 -.228482771008E-09 6.3377E-16 6.4098E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 53 0.510125416100E-09 -.425585575035E-10 8.4839E-16 8.0116E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 54 -.587149427508E-09 -.160844752438E-09 1.0144E-15 1.0231E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 55 0.835878877910E-09 0.118822715858E-08 1.1992E-15 1.1667E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 56 0.178189925873E-08 0.282007852990E-09 1.3538E-15 1.3743E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 57 0.210273538316E-08 0.132787183481E-08 1.5502E-15 1.5114E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 58 -.810203240412E-09 0.764028151106E-09 1.6650E-15 1.6962E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 59 -.994496398978E-09 0.161228570775E-08 1.8599E-15 1.8352E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 60 -.128540509182E-08 -.346940666798E-09 2.0505E-15 2.1218E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 61 -.513804276707E-09 0.562426277345E-09 2.3021E-15 2.3392E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 62 -.202215995848E-08 -.251098220964E-08 2.4580E-15 2.4437E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 63 -.183560517638E-08 -.753127653078E-09 2.6390E-15 2.6542E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 64 0.494977384167E-09 -.142705709656E-09 2.7348E-15 2.7177E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 65 -.273474303743E-08 -.622250119087E-09 2.5847E-15 2.5480E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 66 0.171099877019E-08 -.416672098246E-09 2.2700E-15 2.2583E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 67 0.161810486443E-08 -.881273714105E-09 1.9665E-15 1.9766E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 68 -.246276908026E-08 0.132923545225E-08 1.7376E-15 1.7412E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 69 0.150865616167E-08 -.243058312060E-08 1.5469E-15 1.5730E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 70 0.406646178943E-09 0.337145856921E-08 1.3858E-15 1.4086E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 71 -.270357412920E-08 0.201942184586E-08 1.2381E-15 1.2332E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 72 0.547200811540E-09 0.331421218640E-08 1.0831E-15 1.0430E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 73 -.545903379228E-08 0.185514426579E-08 9.0035E-16 8.7664E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 74 -.113701771685E-08 0.209866963764E-08 7.7140E-16 8.6294E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 75 -.218970776615E-08 -.194206000985E-08 6.8756E-16 6.5882E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 76 -.158065035111E-08 0.433190488805E-09 7.0039E-16 9.2456E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 77 0.376128900670E-09 -.143364729706E-08 4.8263E-16 4.1962E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 78 0.282419835731E-08 0.101987855331E-09 1.1382E-15 1.4210E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 84 79 0.746855400914E-09 0.896422261734E-09 3.9243E-16 4.1353E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 80 -.919490839032E-09 0.369623752963E-08 5.5555E-16 4.7093E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 81 -.520654019011E-10 0.357511443213E-08 7.0286E-16 7.3399E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 82 -.130347958170E-08 -.647379178187E-09 2.3820E-16 2.1911E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 83 0.236595426553E-09 0.208621123484E-08 9.9453E-16 8.5262E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 84 84 0.264424822005E-08 0.129291646764E-08 9.4548E-16 9.5166E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 0 -.148416342078E-08 0.000000000000E+00 2.7922E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 85 1 -.247038219708E-09 0.181015393763E-08 3.3762E-15 3.3594E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 2 0.233575955391E-08 0.139356267428E-08 2.2203E-15 2.1603E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 3 -.149886294696E-08 0.227698273449E-08 1.5592E-15 1.6246E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 4 -.167934635698E-08 -.204845491116E-08 2.4803E-15 2.5048E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 5 -.105825032001E-08 0.518024124811E-09 1.1677E-15 1.1299E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 6 -.353564414891E-08 0.414648347756E-09 7.9943E-16 7.6286E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 7 -.293809175180E-08 0.858468778840E-10 6.1783E-16 6.2019E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 8 -.287488348331E-09 -.864844514115E-09 3.5507E-16 3.7243E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 9 0.111721972343E-08 0.918431583407E-10 3.4341E-16 3.4101E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 10 -.256146456288E-08 0.961671769416E-09 3.5823E-16 4.0590E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 11 -.721611397971E-09 -.206774434362E-08 4.0361E-16 3.9238E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 12 -.243951062381E-08 0.211358863058E-08 3.6368E-16 4.2844E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 13 0.398714346412E-09 -.209450490960E-08 4.4496E-16 4.1967E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 14 0.128805903627E-08 -.420825483128E-10 4.2066E-16 4.1301E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 15 0.208307718362E-08 0.938841825699E-09 4.2695E-16 2.9159E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 16 -.174244246878E-08 0.211067534355E-08 3.8827E-16 4.0403E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 17 0.646556426368E-10 0.114264576364E-08 3.8629E-16 4.0643E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 18 0.358269581406E-09 -.169671852027E-09 3.3590E-16 3.9052E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 19 -.881458963908E-09 -.563543643215E-09 3.9632E-16 3.6414E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 20 0.151077123731E-08 0.124510196197E-08 3.5760E-16 3.6948E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 21 -.578713217269E-09 0.275311849251E-08 4.1530E-16 4.0895E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 22 0.229612571861E-08 0.248561040691E-08 3.8583E-16 3.8430E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 23 -.491509810726E-09 -.194599131659E-08 3.4943E-16 3.9294E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 24 0.201946151588E-08 0.267857640626E-08 3.6321E-16 4.1722E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 25 -.208902816973E-08 0.110886736183E-08 3.6059E-16 3.5023E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 26 0.825515323873E-09 -.176461708576E-08 3.4836E-16 3.5515E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 27 -.664198950693E-09 0.230334076933E-08 3.5873E-16 3.2481E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 28 0.141865475132E-09 -.260850242270E-08 3.3204E-16 3.4607E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 29 -.151181619317E-08 0.150917057708E-08 3.3405E-16 3.1114E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 30 0.562616633171E-09 -.867197181521E-09 2.8768E-16 2.6053E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 31 -.167330642313E-08 -.540635427401E-09 3.1927E-16 3.1321E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 32 -.815988745688E-09 -.266782423837E-08 2.9689E-16 2.8557E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 33 0.348018677963E-08 0.386898321004E-09 3.1174E-16 3.1508E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 34 -.467306608023E-09 0.680210870464E-10 2.9139E-16 2.8201E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 35 0.164473393519E-08 -.338565486719E-09 2.7570E-16 2.5338E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 36 -.116277280531E-08 -.127703028312E-08 2.7525E-16 2.9331E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 37 0.351123262918E-09 -.107535768321E-08 2.7321E-16 2.6936E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 38 0.248399151306E-09 0.139818483610E-08 2.9800E-16 2.9303E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 39 -.248666992552E-09 -.256554509705E-08 2.9042E-16 2.7811E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 40 -.134967426091E-08 -.340474407710E-09 2.7997E-16 2.9651E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 41 -.143138814851E-08 -.266320319505E-08 2.7557E-16 3.0166E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 42 0.201597638835E-08 -.748831683792E-09 3.2272E-16 3.1209E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 43 0.223124549734E-09 -.155205231888E-09 3.4391E-16 3.3254E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 44 0.966379511872E-09 -.248217719965E-08 3.7820E-16 3.7677E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 45 0.176101529567E-08 0.707457486184E-09 3.8017E-16 4.0992E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 46 -.197194150995E-08 0.924837415387E-09 3.9970E-16 4.4366E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 47 0.166905703964E-08 0.288145439607E-09 4.0018E-16 4.2720E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 48 0.211091359670E-08 -.217692065048E-08 4.1369E-16 4.2823E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 49 -.485487179347E-09 -.110772575785E-08 4.3859E-16 4.4394E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 50 0.245892901739E-09 0.505304929568E-09 4.5386E-16 4.2345E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 51 -.145415774356E-08 -.236883230131E-08 5.1414E-16 4.5787E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 52 0.123917847323E-08 -.168673786665E-08 5.6292E-16 5.3277E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 53 0.414200710197E-10 -.113370881467E-08 7.0787E-16 6.5100E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 54 -.137275986472E-08 -.187357861284E-09 8.6333E-16 8.6942E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 55 0.646013422046E-09 -.581989492019E-10 1.0456E-15 1.0219E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 56 0.187022986766E-08 -.134276644543E-08 1.1494E-15 1.1698E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 57 0.162263454288E-09 -.226380134373E-09 1.3186E-15 1.2896E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 58 -.813572492241E-09 0.213300836157E-08 1.4433E-15 1.4741E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 59 0.103529313096E-08 0.452235990205E-09 1.6079E-15 1.6044E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 60 0.240624612715E-08 0.163119948899E-09 1.7350E-15 1.7726E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 61 0.198623187947E-09 -.238921392753E-08 1.9241E-15 1.9588E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 62 -.713792225129E-09 -.421329744930E-09 2.1074E-15 2.1164E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 63 0.144220501722E-08 -.248544260077E-08 2.2815E-15 2.3038E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 64 0.836619122311E-09 0.514230933555E-09 2.4730E-15 2.4592E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 65 0.455761293953E-09 -.313310827808E-09 2.5373E-15 2.5054E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 66 0.450943166121E-09 -.206048442667E-09 2.3719E-15 2.3589E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 67 -.365387768564E-09 0.147305364167E-08 2.0931E-15 2.1101E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 68 -.623523185152E-10 -.574577279229E-09 1.8193E-15 1.8387E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 69 -.205961055407E-08 0.116248512945E-08 1.6028E-15 1.6209E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 70 0.312528285952E-08 -.142171046651E-08 1.4338E-15 1.4447E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 71 -.280408838677E-08 0.309069747627E-08 1.3035E-15 1.3044E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 72 -.155481400783E-08 -.758127286775E-09 1.1697E-15 1.1472E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 85 73 -.189562231567E-08 -.422975834906E-09 1.0185E-15 9.9284E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 74 0.220442775923E-08 -.823071125129E-09 8.4533E-16 8.5088E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 75 0.171697038457E-08 0.373140505728E-08 7.5583E-16 7.2121E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 76 0.482108167759E-09 -.873520763397E-09 6.4967E-16 9.3510E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 77 -.402037891135E-09 0.202299393482E-08 5.5077E-16 5.3149E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 78 -.766539573912E-09 -.186993138625E-09 4.1458E-16 4.0803E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 79 -.172782520761E-08 -.199103429852E-08 4.1350E-16 3.9434E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 80 0.243964954409E-08 0.649933608754E-09 4.9299E-16 4.3538E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 81 -.604368139558E-09 -.310065090088E-08 4.6468E-16 4.7872E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 82 -.267871044621E-09 -.990236095770E-09 3.8562E-16 3.9008E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 83 0.171481414182E-08 -.115005270466E-08 3.7920E-16 4.1869E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 84 0.246805483119E-08 0.176167390053E-08 5.6026E-16 5.5466E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 85 85 -.331967075088E-08 0.135283341285E-09 8.1654E-16 7.8308E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 0 -.170905523543E-08 0.000000000000E+00 2.4288E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 86 1 0.131112904766E-08 -.643942530802E-10 2.9968E-15 2.9928E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 2 -.414626276142E-09 -.260249199019E-08 2.0105E-15 1.9616E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 3 -.609812596107E-09 0.132933855299E-08 1.8632E-15 1.9088E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 4 0.338953329175E-09 0.440442665786E-09 2.2068E-15 2.2196E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 5 0.250302796636E-08 -.633046469221E-09 1.1433E-15 1.1062E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 6 -.127170517279E-09 -.454094450800E-10 5.3198E-16 4.7004E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 7 0.381235250199E-10 -.165012784672E-08 4.6497E-16 4.6884E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 8 -.237557749338E-08 0.953756312180E-09 3.6188E-16 3.7255E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 9 0.185553989206E-08 0.870421934507E-10 2.8335E-16 3.0442E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 10 -.378576781731E-08 0.522128707306E-10 2.7019E-16 3.3450E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 11 -.113912015810E-08 -.193024630523E-08 3.9177E-16 3.7307E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 12 -.138270980878E-08 0.225696682404E-09 3.3530E-16 3.8217E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 13 -.642659117421E-09 0.905868285051E-09 4.2157E-16 3.7003E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 14 -.207941025714E-08 -.176939887386E-08 4.0636E-16 3.9814E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 15 -.703308737068E-09 0.124628427774E-08 3.6832E-16 2.4659E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 16 -.161512787913E-08 -.103849483814E-08 3.7348E-16 3.8735E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 17 -.146818255039E-09 -.147473424419E-08 3.6884E-16 3.5113E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 18 0.170482453884E-08 -.229348026398E-08 3.3912E-16 3.3900E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 19 0.111936407672E-09 0.217680039694E-10 3.9638E-16 3.2154E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 20 0.404304305433E-08 -.161928733235E-08 3.4614E-16 3.2737E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 21 -.515310831135E-09 0.150687080323E-08 3.7726E-16 3.5492E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 22 0.325520221071E-08 0.152082766619E-08 3.8944E-16 3.6095E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 23 0.955396354271E-09 0.265593261580E-09 3.2764E-16 3.4010E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 24 0.313336763027E-08 -.567762283999E-09 3.5435E-16 3.5935E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 25 0.132953647316E-08 -.148804449728E-10 3.5643E-16 3.1805E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 26 0.442400848032E-09 -.285022214486E-09 3.2367E-16 3.2783E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 27 0.149719544391E-08 0.230257194823E-08 3.3219E-16 3.0373E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 28 -.706772892291E-09 -.136085516629E-08 3.0525E-16 3.0523E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 29 0.230901425446E-08 0.141457926555E-09 3.0742E-16 2.9260E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 30 -.304211669020E-08 -.148644416235E-08 2.8001E-16 2.7706E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 31 -.502291355027E-09 0.192840473444E-08 2.7784E-16 2.4806E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 32 0.580577540125E-10 -.146351125523E-08 3.0056E-16 2.8243E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 33 0.274309302078E-08 -.238499151347E-09 2.5420E-16 2.5038E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 34 -.120944852423E-08 0.304564598332E-08 2.9118E-16 2.9382E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 35 -.160592285149E-08 -.846951790175E-09 2.1891E-16 2.4195E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 36 -.125114512447E-08 -.130679207932E-08 2.4274E-16 2.7127E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 37 0.169638300177E-08 -.166059274782E-08 2.6271E-16 2.5590E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 38 0.204534674636E-08 0.169923030814E-08 2.4251E-16 2.6355E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 39 -.151042040664E-08 0.136367419502E-08 2.6305E-16 2.6677E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 40 0.231530149092E-08 -.229672784358E-08 2.3968E-16 2.7422E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 41 -.165441533783E-08 -.173797611402E-08 2.4691E-16 2.8245E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 42 0.224124530286E-09 -.173632097578E-08 2.8633E-16 2.8474E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 43 0.647459523004E-09 0.606285235110E-09 3.3725E-16 3.1875E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 44 -.816793690276E-09 -.113449471829E-08 3.3285E-16 3.3075E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 45 0.164562500152E-08 0.491633568008E-09 3.7087E-16 3.7892E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 46 -.138212102867E-08 0.245824227779E-08 3.5442E-16 3.7378E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 47 0.959070660125E-09 -.289537842477E-08 3.8296E-16 3.9182E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 48 0.141385902680E-08 -.468058791767E-09 3.8522E-16 3.6719E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 49 0.966792830024E-10 0.195591164862E-08 4.0666E-16 3.9343E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 50 0.149826739001E-08 -.195296319806E-08 4.1155E-16 3.8538E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 51 -.175320645096E-08 0.998571066820E-09 4.4067E-16 4.0595E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 52 0.836082002934E-09 -.190039987762E-08 4.7386E-16 4.7546E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 53 -.268092012371E-09 0.455690313085E-09 6.0044E-16 5.8583E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 54 -.674865156574E-10 0.947475239146E-09 7.1197E-16 7.3245E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 55 0.738822326603E-10 -.236055665496E-09 8.8788E-16 8.7577E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 56 0.430031016417E-09 0.560863215313E-09 9.9186E-16 1.0103E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 57 -.461487459903E-09 0.222510049735E-10 1.1281E-15 1.1028E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 58 0.996811000270E-09 0.164620129792E-08 1.2104E-15 1.2502E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 59 0.782760778639E-09 -.243252987854E-08 1.4072E-15 1.3848E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 60 0.102878549674E-08 -.263651048421E-08 1.5071E-15 1.5275E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 61 0.515137741514E-09 -.853409593010E-09 1.6732E-15 1.6868E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 62 0.271284953099E-08 0.138297762448E-08 1.8047E-15 1.8174E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 63 0.356238633464E-08 -.282934745467E-08 1.9484E-15 1.9683E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 64 0.134336472811E-08 0.403241096120E-08 2.1349E-15 2.1276E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 65 -.830913378540E-10 0.170034919004E-08 2.2984E-15 2.2729E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 66 -.287948644129E-08 -.263758135604E-09 2.3391E-15 2.3260E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 67 0.658352694827E-09 0.386918943978E-08 2.1950E-15 2.2139E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 68 -.664249426564E-09 -.251721378941E-08 1.9523E-15 1.9631E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 69 0.170519307732E-08 -.267863436172E-08 1.7093E-15 1.7113E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 70 0.180165883740E-08 -.289254810646E-09 1.4860E-15 1.4943E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 71 -.192276150106E-08 0.821536325405E-10 1.3422E-15 1.3393E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 72 0.445862063930E-08 -.169854254181E-08 1.2224E-15 1.1989E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 73 0.937689308742E-09 0.258648979556E-08 1.0784E-15 1.0544E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 74 0.266005454896E-08 -.853809946360E-09 9.4328E-16 9.8263E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 75 0.391675436139E-08 0.350446821231E-08 8.6775E-16 8.4537E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 76 -.189260106332E-08 0.995654642286E-09 6.2171E-16 1.0121E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 77 -.224127705318E-08 0.193330133002E-08 6.0333E-16 5.4655E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 78 0.393068834158E-08 0.128213324134E-08 9.8196E-16 1.2154E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 86 79 0.896698549996E-09 -.687322154594E-09 3.7272E-16 3.7395E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 80 -.928058629528E-10 0.129580162739E-08 5.9124E-16 4.7437E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 81 0.961459528805E-09 -.162425377027E-08 4.1081E-16 4.3322E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 82 0.446292962652E-08 0.430151791918E-09 3.6764E-16 3.4200E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 83 -.690838050898E-09 -.177993885292E-08 6.2371E-16 5.3243E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 84 -.495274597987E-09 0.212551704665E-08 2.5914E-16 2.7101E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 85 -.303467995321E-09 0.198565155344E-08 7.4522E-16 7.2204E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 86 86 0.972673401116E-09 -.153934651206E-08 8.0640E-16 7.9906E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 0 0.173834714283E-08 0.000000000000E+00 2.0729E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 87 1 0.692427256288E-09 -.253273032114E-08 2.6621E-15 2.6481E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 2 -.102281390691E-08 0.997988352766E-09 1.7963E-15 1.7623E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 3 0.488656227190E-09 0.179637496196E-10 1.2689E-15 1.3248E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 4 -.930662595072E-09 -.695742928663E-09 2.0150E-15 2.0353E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 5 0.214924853830E-08 0.129777975648E-08 8.9721E-16 8.5602E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 6 -.118799824983E-08 0.921235145729E-09 6.0931E-16 5.6900E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 7 0.261043104569E-08 0.320709350148E-09 4.9590E-16 5.0599E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 8 0.645645668657E-09 -.122239843177E-08 2.9570E-16 3.1595E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 9 -.116142902113E-09 0.131448141341E-09 2.9565E-16 3.0229E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 10 0.121385398866E-08 -.523643320738E-09 2.8376E-16 3.3182E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 11 -.898019798703E-09 -.180778395259E-08 3.8081E-16 3.3258E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 12 -.937631060766E-10 0.977378985395E-09 3.3204E-16 3.6681E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 13 -.814988223532E-09 -.455841389123E-09 3.7465E-16 3.3946E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 14 -.124612434200E-08 -.195770682953E-08 3.4748E-16 3.6722E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 15 0.209333578175E-09 0.682239623726E-09 3.3197E-16 2.4144E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 16 -.101264633609E-08 0.768437845513E-09 3.5494E-16 3.6581E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 17 -.127538432305E-08 -.189624725385E-08 3.4499E-16 3.1546E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 18 0.318734296502E-08 0.164783777112E-08 3.1274E-16 3.1481E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 19 -.413923507717E-09 -.192340059921E-08 3.6030E-16 2.9878E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 20 -.124523669624E-08 -.397371922027E-09 3.1913E-16 3.0763E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 21 -.165418950888E-09 0.141633057814E-08 3.3864E-16 3.3460E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 22 -.560666587947E-09 -.214263084125E-08 3.5632E-16 3.4022E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 23 0.203081778531E-08 -.135022408246E-08 3.0409E-16 3.4059E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 24 0.132434981553E-08 -.141405154006E-08 2.9666E-16 3.2714E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 25 0.993384942432E-09 0.578389094077E-10 3.3559E-16 3.2132E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 26 0.122721159845E-08 -.201751734751E-08 2.8546E-16 2.9047E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 27 0.326444261212E-08 0.133478807015E-08 2.9825E-16 2.6567E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 28 -.759865865127E-09 -.173569310059E-08 2.8858E-16 2.8782E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 29 0.133439097004E-08 -.141007066169E-08 2.6013E-16 2.6932E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 30 -.134469655390E-08 0.128125553673E-08 2.7328E-16 2.6763E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 31 0.160963968536E-08 0.133678283949E-09 2.5284E-16 2.1257E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 32 -.138133801806E-08 0.292916504763E-09 2.7809E-16 2.5035E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 33 -.762336497920E-09 0.463506943545E-09 2.6254E-16 2.5448E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 34 -.138725209127E-08 0.227316550468E-08 2.5614E-16 2.5097E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 35 -.448692103275E-08 -.233177814454E-10 2.5857E-16 2.6606E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 36 0.207807287577E-08 -.977583386380E-09 2.1131E-16 2.1077E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 37 0.242367562589E-08 -.199097692397E-08 2.6011E-16 2.4779E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 38 0.220891516197E-08 0.108184172125E-08 2.3655E-16 2.5956E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 39 -.457001001268E-09 0.422276740698E-08 2.3663E-16 2.5034E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 40 0.193678204770E-08 -.330561735736E-08 2.4600E-16 2.7649E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 41 0.182959873016E-08 -.706378251978E-09 2.3653E-16 2.4709E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 42 0.121961839391E-08 0.731196007881E-09 2.6815E-16 2.4331E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 43 -.808883064402E-09 -.462590469275E-09 2.9810E-16 2.8963E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 44 -.233440739565E-09 0.503461167536E-09 3.1385E-16 3.0174E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 45 -.661445966259E-10 0.590596533971E-09 3.1732E-16 3.3217E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 46 -.658772188355E-09 -.162989576253E-08 3.4091E-16 3.8678E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 47 0.803565555513E-09 -.125218991655E-08 3.3306E-16 3.4264E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 48 0.220775672980E-08 0.244429677417E-08 3.4655E-16 3.3898E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 49 0.828048416133E-09 0.243082590808E-08 3.5035E-16 3.5817E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 50 -.146906464088E-09 0.129176148398E-08 3.6828E-16 3.5918E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 51 -.566310450478E-09 0.176525706371E-08 3.8706E-16 3.6375E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 52 -.359584187711E-10 -.567913228596E-09 4.1811E-16 4.1975E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 53 -.142746692922E-09 0.166361639874E-09 5.1696E-16 4.9056E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 54 -.271014202546E-09 0.235497600755E-08 6.0974E-16 6.2042E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 55 -.271289939366E-08 0.480911924063E-09 7.4922E-16 7.3966E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 56 -.771091067594E-09 -.123237024760E-09 8.7929E-16 8.9036E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 57 0.515392768845E-10 -.123446364093E-08 9.7470E-16 9.4887E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 58 0.382446527529E-09 -.264094506171E-08 1.0328E-15 1.0606E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 59 0.104768829962E-08 0.336773095391E-09 1.1985E-15 1.1741E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 60 0.726048687768E-09 -.403044846759E-09 1.3121E-15 1.3424E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 61 -.212689700868E-09 0.184256999889E-08 1.4050E-15 1.4414E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 62 0.688592561638E-09 -.189889809257E-08 1.5394E-15 1.5711E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 63 -.261129594647E-08 -.215597520410E-08 1.6698E-15 1.6857E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 64 0.328701037767E-08 -.726239482479E-10 1.8298E-15 1.8187E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 65 -.268154431345E-08 -.232879678957E-08 1.9819E-15 1.9542E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 66 0.588094944910E-09 -.128805807923E-08 2.1179E-15 2.1151E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 67 0.306317490775E-08 -.195078340639E-08 2.1706E-15 2.1860E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 68 -.186910456406E-09 -.144797130667E-08 2.0467E-15 2.0507E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 69 0.193341874868E-08 0.756982511940E-09 1.8347E-15 1.8444E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 70 0.562572029914E-09 0.475364686736E-08 1.5733E-15 1.6068E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 71 0.394284451365E-09 0.134597134783E-08 1.3893E-15 1.3984E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 72 -.270153473076E-08 -.185150746018E-08 1.2592E-15 1.2408E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 73 -.254378661824E-09 -.335373512666E-08 1.1491E-15 1.1195E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 74 0.540180079643E-09 -.279146966593E-08 1.0019E-15 9.9956E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 75 0.613469593072E-10 -.569630477787E-09 8.8467E-16 8.8652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 76 0.520344822018E-09 -.140350259920E-08 6.4927E-16 1.1314E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 87 77 0.273430772270E-08 -.618674600238E-09 6.4943E-16 6.4430E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 78 0.192832408873E-08 0.111676425961E-08 5.3465E-16 5.3445E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 79 0.893684971867E-09 -.990701032894E-09 4.7260E-16 4.5494E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 80 0.514639822826E-09 0.128362324695E-08 3.9989E-16 3.6317E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 81 0.114539214453E-09 0.272398558527E-08 4.4763E-16 4.5785E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 82 -.917750022542E-09 -.190337463658E-08 2.7964E-16 2.7560E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 83 -.607421553881E-09 0.822463281179E-09 3.4481E-16 3.6811E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 84 0.374451530337E-09 -.237792450231E-08 3.2560E-16 3.2710E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 85 -.154308478274E-08 -.145020504999E-08 2.6294E-16 2.8027E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 86 -.723892592636E-09 -.318382132402E-08 4.9302E-16 4.7554E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 87 87 0.122270962827E-08 0.182571699122E-08 6.4873E-16 7.2544E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 0 0.183092578380E-08 0.000000000000E+00 1.8032E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 88 1 -.148816304241E-09 -.157272661574E-08 2.3607E-15 2.3523E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 2 -.285894268251E-08 -.582388662032E-09 1.6446E-15 1.6162E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 3 0.105244804178E-08 -.969320123309E-09 1.4951E-15 1.5324E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 4 0.118352944944E-09 0.102328233584E-08 1.7859E-15 1.7994E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 5 0.783555338825E-09 -.292780059874E-09 9.0034E-16 8.7372E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 6 0.783044514463E-09 0.394200798166E-09 4.2015E-16 3.7245E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 7 0.107395972028E-08 0.142394194864E-09 3.5712E-16 3.7720E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 8 0.183567118838E-09 -.668291596083E-09 3.0776E-16 2.9047E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 9 0.108728846201E-08 -.207182709805E-09 2.6986E-16 2.4357E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 10 0.263688449448E-08 -.100221480794E-08 2.5236E-16 2.5903E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 11 0.209212520290E-08 0.489868919068E-09 3.6344E-16 3.0031E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 12 0.106303417263E-08 -.227662809199E-08 3.0972E-16 3.4737E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 13 0.904773138880E-09 0.199267902057E-08 3.3602E-16 3.0646E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 14 -.860500661884E-09 0.221959876778E-09 3.3828E-16 3.4818E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 15 0.885175936617E-10 -.766094259651E-10 3.1682E-16 2.2187E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 16 -.452815796461E-09 0.176719175423E-08 3.2624E-16 3.2655E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 17 -.999334463230E-09 0.134517883046E-08 3.3163E-16 2.9591E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 18 -.217500632559E-08 0.341222575355E-08 2.7852E-16 2.9048E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 19 -.152078490145E-08 0.807455590056E-09 3.3725E-16 2.8647E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 20 -.287227778772E-08 -.954837696721E-09 2.9293E-16 2.8786E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 21 0.103784213521E-08 0.629373108626E-09 3.0084E-16 3.1834E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 22 -.308294301405E-08 -.172539219580E-08 3.2514E-16 3.2436E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 23 0.255331304934E-08 0.126619301636E-08 2.8664E-16 3.3358E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 24 -.224659342590E-08 -.263790561809E-08 2.8165E-16 2.8950E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 25 -.263561418139E-09 0.161349790955E-08 3.0524E-16 2.6839E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 26 -.157340193166E-08 -.858099756254E-09 2.9717E-16 2.8561E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 27 0.947458123305E-09 0.811296579206E-09 2.5808E-16 2.3545E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 28 -.149797370475E-08 0.604590943992E-09 2.5880E-16 2.7335E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 29 -.621797085927E-09 0.227175171503E-09 2.3948E-16 2.5186E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 30 0.272733201492E-08 0.107003148244E-08 2.6429E-16 2.2560E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 31 -.840550204927E-09 -.372283623087E-08 2.5166E-16 2.0378E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 32 0.843516085979E-09 0.416859701777E-09 2.2555E-16 2.1072E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 33 -.809754702335E-09 -.121056570170E-08 2.3478E-16 2.5581E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 34 0.894636248814E-09 0.889893353299E-09 2.3530E-16 2.3418E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 35 -.122681849737E-08 -.127883106788E-09 2.1767E-16 2.3125E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 36 0.114256731702E-08 -.583740674105E-10 2.3269E-16 2.3370E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 37 -.150217824805E-09 0.132266337033E-08 1.9675E-16 1.9374E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 38 0.724755614553E-10 0.148381575148E-08 2.3417E-16 2.5362E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 39 0.125272885213E-08 0.126772336430E-08 2.1398E-16 2.0142E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 40 -.112763881789E-08 -.223505990757E-08 2.3488E-16 2.2960E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 41 0.346910587859E-08 -.190039891707E-09 2.3679E-16 2.2957E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 42 0.104700008414E-08 -.646413403055E-09 2.4210E-16 2.2269E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 43 0.679963863708E-09 -.170899697625E-08 2.8283E-16 2.6560E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 44 0.151465083448E-08 0.152631539937E-09 2.8214E-16 2.8751E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 45 0.152585546294E-08 0.333762795807E-09 2.9978E-16 3.1407E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 46 -.155996002779E-08 -.104645503707E-08 3.0109E-16 3.1792E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 47 -.247412490286E-10 0.149836198579E-08 3.2154E-16 3.2547E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 48 0.331763939336E-08 0.321290762415E-08 3.0394E-16 3.0634E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 49 -.383010709421E-08 0.245741317336E-08 3.2974E-16 3.4071E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 50 -.100289229019E-08 0.104706239675E-08 3.2867E-16 3.1063E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 51 -.681076027229E-09 0.901216669174E-09 3.5329E-16 3.3611E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 52 -.787604239705E-09 -.329740207725E-09 3.6302E-16 3.5241E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 53 0.415403753623E-09 -.141211789643E-08 4.4908E-16 4.2053E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 54 0.367585078079E-09 -.320204881537E-09 5.2458E-16 5.3854E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 55 -.670666579223E-09 0.205444130621E-08 6.4865E-16 6.4045E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 56 -.507191102688E-09 0.182419385741E-08 7.4326E-16 7.4620E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 57 0.439240112967E-09 -.773712981987E-09 8.5416E-16 8.2978E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 58 0.496970258613E-09 0.450572530638E-09 9.1017E-16 9.2771E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 59 0.717724861170E-09 0.236898916721E-08 1.0188E-15 1.0071E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 60 0.151601385377E-09 0.985529883186E-09 1.1254E-15 1.1465E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 61 0.721300391755E-11 0.111048135726E-08 1.2378E-15 1.2737E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 62 0.222678045164E-09 -.110011658919E-08 1.3334E-15 1.3413E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 63 -.594585572042E-09 -.358068470804E-09 1.4449E-15 1.4437E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 64 0.353686634429E-08 -.254009177471E-09 1.5851E-15 1.5678E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 65 -.323420402971E-08 0.196348902877E-09 1.6907E-15 1.6702E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 66 0.955421287006E-09 -.157868834390E-08 1.8154E-15 1.8129E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 67 0.415592516151E-09 -.202036569101E-08 1.9687E-15 1.9717E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 68 0.113694598378E-08 0.239765489929E-08 2.0082E-15 2.0176E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 69 -.197955141931E-10 -.265184479131E-09 1.9071E-15 1.9280E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 70 -.910395739887E-10 0.203740320396E-08 1.6995E-15 1.7201E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 71 -.148943691966E-08 -.167872088481E-08 1.4977E-15 1.4852E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 72 0.215630317661E-08 -.294281621158E-08 1.3104E-15 1.2830E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 73 0.179861488243E-08 0.216996838820E-08 1.1676E-15 1.1453E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 74 -.489376201353E-09 -.152175529454E-08 1.0543E-15 1.0756E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 75 -.658380065651E-09 0.139451743268E-08 1.0029E-15 9.9390E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 76 -.269026184062E-08 0.103968473887E-08 5.7378E-16 1.1630E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 77 -.439085034488E-09 -.373854521086E-10 8.0376E-16 7.2864E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 78 -.851814230239E-09 -.902480702058E-09 9.3448E-16 1.1006E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 88 79 0.389286115584E-09 0.637674028060E-09 4.8135E-16 4.8575E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 80 -.129065963672E-08 -.282712696663E-08 5.9872E-16 5.0569E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 81 0.416230388267E-08 -.117383752106E-08 3.3385E-16 3.4287E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 82 0.104760906669E-08 0.203646194190E-09 4.2717E-16 3.9449E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 83 -.210655403048E-08 0.101614309054E-08 3.6096E-16 3.2593E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 84 -.160645600120E-08 -.293312630820E-09 3.1394E-16 3.1886E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 85 0.631932326912E-10 0.324761124055E-08 4.6207E-16 4.4020E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 86 -.462550681695E-09 0.888304972751E-10 2.3450E-16 2.2609E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 87 0.784232266689E-09 0.269935577281E-08 5.5232E-16 5.9314E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 88 88 -.544977510820E-10 -.413294750229E-09 6.3425E-16 6.7638E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 0 -.708496634345E-09 0.000000000000E+00 1.5315E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 89 1 -.109870228886E-08 0.177382440887E-08 2.1008E-15 2.0843E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 2 0.710539705538E-09 -.264256062143E-12 1.4823E-15 1.4594E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 3 -.321748774084E-08 -.234289470042E-10 1.0310E-15 1.0619E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 4 -.343668292177E-09 0.219137315257E-09 1.6414E-15 1.6501E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 5 -.216352545008E-08 0.494009869820E-09 6.8482E-16 6.5111E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 6 -.186835863884E-08 -.380319546557E-09 4.5837E-16 4.2919E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 7 0.104176939345E-08 0.185621297648E-09 3.9424E-16 4.2291E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 8 0.124891404504E-08 0.194914378236E-09 2.5555E-16 2.5184E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 9 -.278576816004E-08 0.361108153667E-09 2.6885E-16 2.4983E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 10 0.165589202465E-08 0.338670400146E-09 2.5099E-16 2.5347E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 11 0.322756401288E-08 0.246681768899E-09 3.4790E-16 2.7260E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 12 0.723496695902E-09 -.183519605348E-09 2.8984E-16 3.2143E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 13 0.282064483147E-08 -.892473996194E-09 3.0644E-16 2.8630E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 14 0.288064964942E-09 0.283975536675E-08 2.8366E-16 3.1576E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 15 0.409979034483E-09 0.185821024984E-09 2.9898E-16 2.3510E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 16 -.954363074499E-09 -.121870096537E-08 2.9147E-16 2.9630E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 17 0.149709125884E-10 0.198052861095E-08 2.9819E-16 2.7245E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 18 -.760829049614E-09 0.147489041506E-08 2.7081E-16 2.7856E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 19 -.300275779147E-08 0.119062877097E-08 2.9376E-16 2.4149E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 20 -.922915847242E-09 -.478634489285E-10 2.7508E-16 2.8826E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 21 -.519386207656E-09 0.766600637558E-09 2.5750E-16 2.8746E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 22 0.118592276331E-08 0.126956203349E-08 3.0825E-16 2.8944E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 23 -.161369237367E-08 0.714362486478E-09 2.8298E-16 2.9652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 24 -.314766631730E-08 0.267714845251E-08 2.8219E-16 2.5627E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 25 -.191631917922E-08 -.251942306618E-08 2.8107E-16 2.3438E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 26 -.861905366284E-09 0.267482705761E-09 2.6891E-16 2.6627E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 27 0.111188110491E-09 -.184521395073E-08 2.3367E-16 2.3017E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 28 -.194460397749E-08 0.287040325158E-08 2.2097E-16 2.3536E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 29 -.142139298005E-08 0.671989930258E-09 2.4077E-16 2.3903E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 30 0.262687644331E-08 -.244370836106E-09 2.3818E-16 2.0000E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 31 -.132818473274E-08 -.111079673553E-08 2.2865E-16 2.0218E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 32 0.349877348398E-10 0.134956489200E-09 2.0332E-16 2.2968E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 33 -.471780785669E-09 -.619188953592E-09 1.9135E-16 2.1984E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 34 0.114055293047E-08 -.195863055068E-08 2.3165E-16 2.3566E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 35 0.967928908327E-09 0.530995864466E-09 1.8995E-16 2.2731E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 36 0.529535640337E-09 -.863628243349E-09 2.1597E-16 2.2789E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 37 -.116349988774E-08 0.397503716751E-08 1.9211E-16 2.0382E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 38 0.339002736090E-09 -.599395976868E-09 2.0484E-16 2.1439E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 39 0.692799952744E-09 -.605472773205E-09 2.3096E-16 2.2233E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 40 -.473380306582E-09 0.490720133917E-09 1.9383E-16 2.1704E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 41 0.166909826864E-08 -.115106012700E-08 2.1730E-16 2.3458E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 42 -.747547564412E-09 0.142333798818E-09 2.1253E-16 2.1520E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 43 0.191654107201E-09 -.110667675966E-08 2.3164E-16 2.4866E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 44 0.440391872564E-08 -.706365103690E-09 2.5992E-16 2.6160E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 45 -.286111742222E-09 -.457909605341E-09 2.6912E-16 2.8444E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 46 -.525856053074E-09 -.138185614892E-08 2.9378E-16 3.1281E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 47 0.125380939983E-08 0.179526561322E-08 2.8887E-16 2.9252E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 48 -.243832803370E-08 0.164591997140E-09 2.8982E-16 2.8646E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 49 -.148184518535E-08 0.481133771243E-09 2.8991E-16 2.9033E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 50 -.869069111163E-09 -.231309338308E-08 3.1077E-16 2.8666E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 51 -.269260954749E-09 -.100164158643E-11 3.1583E-16 2.9147E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 52 0.480562600948E-09 0.128105060576E-09 3.2855E-16 3.1929E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 53 -.119393128951E-09 -.474197396930E-09 3.8868E-16 3.6667E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 54 0.112629705124E-08 -.210226827328E-08 4.4184E-16 4.6449E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 55 0.317672600802E-09 0.119189736719E-08 5.6462E-16 5.5163E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 56 -.792087637737E-09 0.210148781233E-08 6.4055E-16 6.4130E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 57 -.152605659326E-08 0.256984665888E-09 7.3672E-16 7.2040E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 58 -.298015667756E-09 -.139345927811E-08 7.8932E-16 8.1460E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 59 -.114661689812E-08 -.173984691315E-08 8.8500E-16 8.7716E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 60 -.179869707079E-08 0.257992197104E-09 9.6070E-16 9.8705E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 61 -.794565005281E-09 0.101659639596E-08 1.0653E-15 1.0812E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 62 0.825195583812E-09 0.332264173178E-08 1.1617E-15 1.1792E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 63 0.240250457339E-08 0.211477537094E-08 1.2490E-15 1.2481E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 64 -.159120801510E-08 0.109771095561E-08 1.3546E-15 1.3595E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 65 -.245651222923E-10 0.174926538107E-08 1.4667E-15 1.4558E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 66 -.175864173153E-08 -.228881759632E-08 1.5357E-15 1.5342E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 67 -.298571135807E-08 0.160382734600E-08 1.6813E-15 1.6901E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 68 -.769213365016E-09 0.290922425804E-09 1.8013E-15 1.8215E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 69 -.112056122986E-08 0.426317581331E-09 1.8687E-15 1.8833E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 70 -.300902606041E-08 -.968546224093E-09 1.7934E-15 1.7993E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 71 0.149413968362E-09 -.207887934536E-08 1.6124E-15 1.6056E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 72 0.244456606886E-09 0.801546273620E-09 1.4071E-15 1.3932E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 73 -.253833431205E-09 0.117594547267E-08 1.2314E-15 1.2001E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 74 -.189622146034E-08 -.191812201647E-09 1.0863E-15 1.0820E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 75 -.267531905787E-08 0.183235711618E-08 9.8147E-16 9.8728E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 76 -.207039212448E-08 -.247212555641E-08 6.1182E-16 1.2468E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 89 77 0.198892799333E-08 0.438995126644E-09 7.8254E-16 7.7459E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 78 0.928830927650E-09 0.541785036254E-09 6.8191E-16 6.9329E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 79 -.493159665256E-09 0.157033591022E-08 5.7873E-16 5.7215E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 80 -.987957510395E-09 -.192032725614E-08 4.8869E-16 4.6884E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 81 -.299491344477E-08 0.108364583047E-08 4.7179E-16 4.7576E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 82 0.317338761802E-09 0.531990270359E-10 3.3349E-16 3.3393E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 83 0.166101794488E-08 -.117153081821E-08 3.6271E-16 3.8337E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 84 0.238231367108E-09 0.521887123655E-09 2.4328E-16 2.4372E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 85 -.605255396032E-09 0.917392160542E-09 2.9044E-16 3.0182E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 86 0.118322225542E-08 -.834236169153E-09 2.8828E-16 2.8079E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 87 -.672239453018E-09 0.918257367713E-09 2.7385E-16 2.7604E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 88 -.310246166716E-08 0.130741528523E-08 4.6468E-16 4.7363E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 89 89 0.190447852647E-08 -.661363880291E-09 6.6024E-16 6.3740E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 0 -.398852631080E-09 0.000000000000E+00 1.3161E-15 0.0000E+00 20230101.0000 20230201.0000 ynyn +GRCOF2 90 1 -.599163818047E-09 -.984501070901E-09 1.8623E-15 1.8622E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 2 -.102187416397E-08 -.280234323464E-09 1.3579E-15 1.3426E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 3 -.443925630319E-10 0.123225989497E-08 1.2044E-15 1.2259E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 4 0.337934229201E-10 0.680062602937E-09 1.4415E-15 1.4509E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 5 -.158964348143E-08 -.959044552489E-09 7.1908E-16 7.1396E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 6 -.353417213840E-09 0.525700551181E-09 2.8743E-16 2.8909E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 7 0.666193736350E-09 0.173104748683E-08 2.8338E-16 3.4685E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 8 0.500069824104E-09 0.203412814213E-09 2.0887E-16 2.2913E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 9 -.313424925091E-08 0.614265981689E-10 2.4361E-16 2.4327E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 10 0.397763764220E-11 0.440580360133E-09 2.0302E-16 2.0721E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 11 -.376249867177E-10 0.503350041207E-09 3.1640E-16 2.6973E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 12 -.252652880018E-08 0.625908917786E-09 2.5380E-16 3.1330E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 13 0.155606437397E-08 0.267934216609E-09 2.7088E-16 2.6652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 14 0.167703639275E-08 0.593397066365E-09 2.7826E-16 2.9872E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 15 0.110789578550E-09 0.136071492991E-08 3.0331E-16 2.0539E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 16 0.533282411432E-09 -.521006025127E-09 2.9167E-16 2.5534E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 17 0.102046584424E-08 -.127623533854E-09 2.7191E-16 2.2620E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 18 -.591626146423E-09 -.535525557536E-09 2.7016E-16 2.8416E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 19 0.230003354025E-08 -.308829690701E-10 2.5789E-16 2.2637E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 20 0.117479335434E-08 0.233807727583E-09 2.3913E-16 2.8070E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 21 -.154148074624E-08 -.361053368737E-09 2.4635E-16 2.8304E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 22 -.593236705325E-09 -.240106024357E-09 2.7836E-16 2.6391E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 23 -.137837730557E-08 0.238206860662E-08 2.6435E-16 3.0056E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 24 -.218457526020E-09 -.275079845557E-09 2.5036E-16 2.5241E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 25 -.768541256241E-09 -.400379140605E-08 2.2774E-16 2.3250E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 26 -.583437787134E-09 0.162156272974E-08 2.2961E-16 2.5761E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 27 -.441384854366E-09 -.417442184251E-09 2.2305E-16 2.3967E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 28 0.107101586547E-08 0.374908581473E-08 1.8785E-16 2.0657E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 29 0.127409361911E-08 0.232319864138E-08 2.1219E-16 2.1612E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 30 0.746479068280E-09 -.952909039599E-09 2.4102E-16 2.2249E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 31 0.116438287992E-08 0.141225120852E-08 1.9286E-16 1.9366E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 32 0.113055889728E-08 0.413007263550E-09 1.9485E-16 2.0899E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 33 0.149687777843E-09 0.600512078687E-09 1.8032E-16 1.8184E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 34 -.189193688821E-08 -.286175220733E-08 2.1391E-16 1.9701E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 35 -.297443463700E-10 0.116300912500E-10 1.9532E-16 2.1714E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 36 -.158690909779E-08 -.129521265101E-08 2.0254E-16 1.8673E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 37 -.784737722509E-10 0.214674729262E-08 1.9955E-16 1.8842E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 38 0.546982877923E-09 -.258615162816E-08 1.6946E-16 1.8671E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 39 0.120036249170E-08 -.877483037605E-09 1.9197E-16 1.9325E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 40 0.218436378239E-08 0.799299067225E-09 1.9652E-16 2.0836E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 41 -.145936265394E-08 0.175770735025E-08 1.7906E-16 1.8452E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 42 -.614619078578E-09 0.873918210654E-09 2.1806E-16 2.1848E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 43 -.690053693790E-09 -.819350235891E-09 2.1866E-16 2.1512E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 44 0.676643593268E-09 0.382193271036E-09 2.4358E-16 2.3601E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 45 -.268567527613E-08 0.145659339479E-08 2.6576E-16 2.6917E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 46 0.139016043382E-09 -.931001376621E-09 2.5622E-16 2.6315E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 47 -.521249451480E-09 -.215675531791E-08 2.6210E-16 2.7240E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 48 -.261354797363E-08 -.338738900573E-09 2.6031E-16 2.6570E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 49 0.806679704482E-09 -.226624063304E-08 2.7159E-16 2.7654E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 50 -.670143288919E-09 -.245610514507E-08 2.6812E-16 2.6094E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 51 0.739189444209E-09 0.122470618091E-08 2.8928E-16 2.7707E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 52 0.211689680491E-09 0.497565376634E-09 2.8656E-16 2.8036E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 53 -.113066931019E-08 0.133185407281E-09 3.4185E-16 3.2886E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 54 0.120532646976E-08 -.242073168481E-08 3.8511E-16 3.9652E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 55 0.885555696441E-09 -.605838152667E-09 4.8695E-16 4.6365E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 56 0.715933863662E-09 0.132197001095E-08 5.6049E-16 5.7100E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 57 -.373180569102E-10 -.137328813039E-09 6.2896E-16 6.2212E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 58 0.112369818083E-08 -.192079182079E-08 6.7393E-16 7.0188E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 59 -.980543505477E-10 -.892934143502E-09 7.7911E-16 7.6469E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 60 0.298792035639E-09 0.483492315086E-09 8.4067E-16 8.5160E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 61 -.144914026534E-09 0.188693935443E-08 9.1618E-16 9.4267E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 62 0.625768610451E-09 0.145209740755E-08 1.0174E-15 1.0274E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 63 0.622881810434E-09 0.100442600930E-08 1.0972E-15 1.1024E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 64 -.548493924347E-09 0.694084935213E-09 1.1698E-15 1.1821E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 65 0.347940066088E-08 -.539549023791E-09 1.2770E-15 1.2563E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 66 -.340460622695E-09 -.219428318231E-08 1.3483E-15 1.3434E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 67 -.425324744377E-09 0.346460038680E-08 1.4252E-15 1.4260E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 68 -.557312717151E-09 0.176912654766E-09 1.5470E-15 1.5540E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 69 -.232900164184E-08 0.199692876207E-08 1.6726E-15 1.6776E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 70 0.107916205581E-08 -.370882471093E-09 1.7379E-15 1.7495E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 71 -.146151616763E-09 -.610294268067E-10 1.6607E-15 1.6624E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 72 0.136074327654E-08 -.490932338161E-09 1.5184E-15 1.4985E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 73 -.142406927748E-08 0.213696270115E-08 1.3285E-15 1.2983E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 74 -.181127946220E-08 -.374854653814E-09 1.1414E-15 1.1508E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 75 0.253305218990E-08 -.823276274697E-10 1.0612E-15 1.0723E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 76 0.222819283396E-09 0.255314699754E-08 5.1643E-16 1.2670E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 77 0.434542753123E-09 0.146729278779E-08 9.2535E-16 8.6527E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 78 0.970723723126E-09 0.755893737607E-10 9.4306E-16 1.0605E-15 20230101.0000 20230201.0000 yyyy +GRCOF2 90 79 -.124403085363E-08 0.113290669283E-08 6.4088E-16 6.3258E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 80 -.253417658038E-08 -.400660666368E-09 6.4690E-16 5.8329E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 81 0.357235344614E-09 -.144131250038E-08 4.4467E-16 4.3847E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 82 0.995291641445E-09 0.171211714890E-08 4.5866E-16 4.3696E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 83 -.212021251350E-08 -.120961363708E-09 3.1207E-16 3.0731E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 84 -.875623687366E-09 0.102144830607E-08 3.5955E-16 3.5133E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 85 0.283758346088E-09 0.121489564176E-08 2.9825E-16 2.8857E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 86 -.113017208636E-08 0.359909431381E-09 3.2301E-16 2.8254E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 87 0.190967620998E-08 0.306245439272E-09 3.2709E-16 3.5574E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 88 -.249101369091E-09 -.134434287724E-09 2.0431E-16 2.1608E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 89 0.270714266692E-08 -.121763811920E-08 5.0342E-16 4.9445E-16 20230101.0000 20230201.0000 yyyy +GRCOF2 90 90 0.881653729390E-09 0.216646743664E-08 6.3891E-16 5.9899E-16 20230101.0000 20230201.0000 yyyy diff --git a/tests/readers/test_readers.py b/tests/readers/test_readers.py index 49c9904..668ec60 100644 --- a/tests/readers/test_readers.py +++ b/tests/readers/test_readers.py @@ -1,3 +1,4 @@ +import pytest import xarray as xr from lenapy.readers.gravi_reader import read_tn14 @@ -17,6 +18,33 @@ def test_read_tn14(lenapy_paths): ) +def test_lenapy_gfc(lenapy_paths): + + gsm = xr.open_dataset( + lenapy_paths.data / "GSM-2_2002213-2002243_GRAC_COSTG_BF01_0100.gfc", + engine="lenapyGfc", + no_date=False, + ) + + +@pytest.mark.parametrize( + "input_file, ref_file", + [ + ("GSM-2_2023001-2023031_GRFO_CNESG_TSVD_0500.txt", "txt_grace_l2.nc"), + ("GSM-2_2022001-2022031_GRFO_UTCSR_BA01_0601.gz", "gz_grace_l2.nc"), + ], +) +def test_lenapy_grace(lenapy_paths, input_file, ref_file): + """ + Test loading GRACE Level-2 files (TXT and GZ) with the lenapyGraceL2 engine. + + Compares parsed datasets to reference NetCDF datasets to ensure consistent structure and values. + """ + gsm_ref = xr.open_dataset(lenapy_paths.ref_data / ref_file) + gsm = xr.open_dataset(lenapy_paths.data / input_file, engine="lenapyGraceL2") + xr.testing.assert_equal(gsm_ref, gsm) + + def test_lenapy_netcdf(lenapy_paths): # TODO : asserts gmsl = xr.open_dataset( diff --git a/tests/ref_data/gz_grace_l2.nc b/tests/ref_data/gz_grace_l2.nc new file mode 100644 index 0000000000000000000000000000000000000000..ff68eeab749b42f0d2a8c840f1b95fdcd5c0f719 GIT binary patch literal 134883 zcmeFa2V7K5vNt^BoO8}O4LMGca}EjulA}aPiUCnj5kXN@P*ISeqL>j(Qz}M8QA7|$ zQ31t3Mnys3n-SUF`@Flq_wM`My?1x7twT>&^{G=`|4ygQIa6C4Z0tB#MOkT?nF$MN z?pNyLr2R=E{$d<3ZY*3@7IK2%j)176U#-|J2$Yl35t!zsri4bsrlK95{$m!Ur0Q{xO44hO7ohr2nzwpSOhvy;7yeX}IN+1vf#Ho4{ z=$Hu$UE+^9yCtNi8ULon z^DWJp*NCtH6;)K^DONwK3}#+xiH=52jG7Y&4r%i_RY@wGoRqdw4qs@iO>9DJ#D8q% ze0{=}M*^Ai0P+790d)13+Md78u+ZFpC_vOc@pl8nE=~pRPkrCb($)4Spj0rap9IQh zy8cG@66W(%o6n=tAWET95|#Ng2~+?6AJlms0biKPEgZ{8xST!Tcbk53|1PxV50yyj z^_|B{=r8b^=TZCTeENF^RNl|wN+A3ZFOI+2J^u>^6xFq9mBl2#h~xAsYJm$&q5Rgb?anM@fuA)W0)HNH z`}r+f^^V4$t^3Ep#3)FuL_@zIiY`1p;rXv#OXbuoD}3_jqq%-nTj!JT_b<4 z-@$gV@$rj8|vccLCZV1L=CXm9QA@{{v(e?pn;e{vSqcLL$+PbPuz z6C?`n7rca!U#Fj!^k@1)pLYHma$NpEUy$Sa2l|2>w?EJq^l|?KeL>F84HbpApyz^| z1;iHU3v#^vh8*ud&==(R{0;h|zd>L8H|W2}ggnlLZ@=^37Wi#}-xm07f!`MRZGqnw z_-%pT7Wi#}-xm07f!`MR$60{t+gNb;Mo-OO>@Qp+v)57m%ya}U0+H&I@UpeD^|E!d zwhjL2lQ5uoTc}Qhh|sjq)X20yJ0~J2uC2t>*rY@PGnGH@vX%bn`~KzdqTCUfPYa%w zdAAjT5Vw7vzEEDlG_TP@IXmk=mZNDGIP=G4tULAG&db4ra_fWYPWk22pz;2Ijpx$PYrF^JrWJIP=(IDxlC;q%ULDJJS*3?mtiHOoCX=`fhY3fqZB@l9$=TB@- zE&NLTDxs(5zmEPTd4c^q|80Ta7WfylfI*;xA;V?!t6>IjH5|{<;QEcsWBW61F5JZU z7i-OLb^n$HL|&a@?&LfT!?&9&Y?!YDufm4<#DJ5qLiu}+lHSqZc>gWK{fp6`KC0c) zDp3h4tB%%>%pSt=h~+E_8%sdWdk1|}`DtiR=q<@}*@FLK&HAnGA1u(8`k}!gIt8vd z1WS#+PR5`Uw>|h@*Fg08jZ40H9z?tKAL)i46{B9khC6l{n}3h*KiKbIrRZ#L6!=I! z7kh=C3Mem2!%-jAgl^$w!1(#B?^8^Kh7ilGwLB{@@`Ot3p`jhfX?CT5o0rXRy#G}I z{-x(5^}wC$Y*&KE=dhPL&vwGWjTNanA{!&cazt{Brl*n(q|3&cjT1s}GE?NdrbjL>1D4iYt!MLcwM>z*#~Qg zuE7{lgpbaA7g$~tfG3-;`$;q|$BS1|yJy)`;FkBg$B$~Vf3M&F_f8+g6inl9MckS8QcnGhLm(yCA0j#GV>rLrp;`zsRXYe)& zGx;40e;m$0_T148Q>n{vONDLOHmwMB?Gv)eIBN-(wOS@3&5>|L;H`(}lWeGG$)sza zSoM28|0lyc&fbG37UEDRz>j;=4G%au+`F-{WDyXu8a&gYLvX+7_Gc^oB2aywTW7aO z1pK(R>Y322D3%}DKFst@7g{9)pib5lN2b2#PM-=vu`cdgXW8OWDBIf4s6FO4-v1^np zDB$c8(x~2Ng8GY_8p@&^VDo_|AGRNn|2?1o z5994$rI@raG79{%>q~bWh{J)c9#$@=5};JM$D>`w7Z2Uver4*JCfqmipkk=cldjbR zgm;#25!SGRmA4$3cX)(C_tt&;zjnp_#{0h+?~$diBoCgDg>!=JEhoSR_Rbc4An+_k zQzkmceRc7`Ht}I)OJOA5xP4|u&C?0wCDOBdD?{P<2N8ppw8`+%Bl-Ltvrx2qmT$$s z!v%`dqD5cv*+IPd=wOnIAZjR<2WCcxBGWo?$<*{9w6$@+VG(8k`O62YwUd2*t~H|6(OQ^gQIm*`OE*B~Nzw@;Lcp(;fEDs1=6hdzJ}VjYPt>%Wai?98P%6_q=`D zO;@=7O)j^sq3`2R63qB{k450v;CW z2h)39p>*bgQQjRN-1gbydgHhoo*lIB*i{tq8}ENG-tu1EkDl)GflJ%_Ih`#7FpE_| z*f-HWmPu<0qO81chaQ`PK-vD)5bcS^R+8aGdX8u}V-+3N>JK&Y(?b@+5um1W z?m%ge25gLZs99%0#Of<$V*EOusA21PD6=aFo}b*|bM1mB%v~*r4?OIKibIza`>NIbaAnwUy#GOXKfdbz`Gd6y^p&l+W=1Y(!K}T(mQ*uxUe7-rBe1&!q7Njj@_KP+E zj;DIX3cE-sH5i}zeIyw5w5}v(yf(pGy`*!o?UuOds&n_!OOY59_QSOBku8v4t#l#1 z(SY1ts#~94R)K#|bN|Bs?Nae8}M_midIyRnfoS=ttXYQy9^m<`@+a^8x0AJKN`F%ihGzj>G zL!Cle!a)5*pzTsarQhTGzo=)9&K;sVqv{Jh{t4!S-wnaWbB*uC=0(tOD*thZmma=u zVN?rq)q%BNRvOY>x5e`oucaczoq%2LlHrm2i_w6qsB>wXK0I~L=SoZU0&6Evj$q$V zlzVTJqQc@1=^K|Wx`3uw>oWRYEO99aaH&?GB|E^f8b?OmGXW^ESDC5joD=dsrsJ3L z*M;}tX2i0!9w4|mMs&-p3f^I8yr;oR{5`(^f8xz45z$uGYXU(j0Rm5gJuya+ew3cu z2z_h1MZLCC_EDE-Q(4FKu~#^0=6Rta^ltjbUm)U&*X*+{RL7a2UuX+wa;_Kl4(47g zWbg!~M+wr^YaLM9dvjU$UJ|TK)C$_RM;#^ijqeO^@xhWwZc)3YMPMCkPjY+h1>H5E zXD?&{)1x~5WJU{AsNo$dj1PnpLJ?Z#`b+V+58I2wgMsMVd5-t$wy1K8GldT%AFg{N5RIldn1AT`Y#jpBP?3ls8( zKkXoULCN*;&C#SKSk}6H|Il$WFk{%3wSqFAhgX&>ojs+8{SMQ)JT3B&E%4yfbi5ZP z7UrMby4W5*l#DB-91DOmdN+J7l)WS^`CPS?EyfBS1ZSDw>$e33v(8HvYHm>Y@`IKZ ztrr$(9I~?_2B0-(rtRJ%w!i1|zZ37<1v|go?DNIg;F~*4PFjO%@77MO_io7l>H9jN z=S%R*R-emXE0$oXkCD!^K@R-xEUQYYam0k;xC!zB5@sCXKh?Fx9K@?%o_?qz1+61) zjS?bWAd%Ymdam6XPRH}d?LX-W{(WcE9*sC4%~4V3qBkTc*J~>}@9P6MheZX5fyPj| zL2_pCazor@Ty*(#pcM?%=zV{_(GXp^UhWH)wuFtJmP;zV@_>Czb)Ig{-q@tfCveYB z_4oMxPvY%Tl44rb)k#hcyR)nzLJ1Q;oL5WX=7xkA(NANC^^o>aKuz5NV_3ATMC4fm zV2zy6U?q(f930BbsNplg0|#=4d<#6F`S?M`s2&G=(bBj)cbh$=cCLAxbVz8=N!$PJSm) z*pnxyizhl)zT4qpgq*w)T{RC4VQK$H@AXpJ;B3M$Te8apS({!v%IiA+#{2(*w~nlh ztNuAPxF~nDw?5buRu~^PNQw1>u=TWj(JeN}Wy2J_=&>#ApZTF!*=UcZU87nJ>7Kyl zQg({H#0J>>8G~4!$v`PL>4cVh2u{V4A>G{?YG2eRF)We>)p+D`uCc%e5s#h^30s1I zQj`0dh(&0#Dzun^f}@IQ9j`=yAdD(@d2Bu6fl_`OIi}W#!l4x$8lUSdpnF;WBx6{9 zaA*DiYacm1`QX<3+r`kixwzNI&;yc9>$E*r`9R9q;5Ee^(&O?-m%f~U@uu0{2qBe>;Rt!3M^Z3d|kUPmb{j+Vwe|Gl|S5CQLwwHWznxPmZ6o2I5yX%M>qjgxNZ#rXeWK~B+)A z4_Gvww8rqWCy%dnwgZV}{2MDb^1yis5!QX-*5LUxQ*RlG2>C7<=x~McH{O51`}6Ip zcyCKBFgRLINI9$wUBT8Pxdu!SXJK=WH%t?8bAidjWSwTfu`}ugkEuAj(OE}!Jxh8`GHR6RMdgEk+M&W?3 ztpcbZAYFS;Rv(7H*0+@qjB!H54V4mWByq#lc=t zk7JJDu_mhgY=|BHKCDeXCrZu$T3t;)zeXxWcO0U#r3u9+XJ>Ki_Bs zmU*k!XnZ$;z)&CSoob@EJafA~y)X%scBFjUt0{+vHwxRc>>@#JR%7q0EB3Ihhto0T zh&j9vz5B4@qa&Q3==mwB^Pd-;@|&URPMlk0si`aXsk8ily?X z?JAkcwTuXwSI68JTL)lR{gDD%Sxcn-)Ibm*IKsN%)TMl{G*NhaiPc($MJPv~H`{Zy zoivnKn|Z&`6>`3oR;OJt!EF{R3I>W<(fJ2!kmjr~F0z!$mfoO>Az}~xzXaN#-wlSE~uAukKQCo){<9udP~c9BYfuD;^wdzDSWrk1!Uv}|h4oE~r=(xT_dw!wX~FE{TC z^a8TfIn1DpR~z;ftO3n>z|2=3;&%Iw~6flg|w*#y=rGq>!#GdC` z?*NyjFTefNF++B&-gxZvur$<<@V0g@#!C@JH0=8+s5s ztA59rjR4K`fNEe0+7h6)me ziLhUtg>RsNgl2N9ANnhsplwO8J>5%lVdhWao(BBI!VEv*8gu8d6GoI+8vhulh zeg+bZ?iUr?n#C}-_|=aYD;;nO3@eT5Hi3tUw6rT3B>rv3cUH6i)nRRGWDNSU>WSG5`F;08 zgZ3^GI7bZWF1faEcA~f39<;>lVduL%qcTAKjrRO{#4VhX%fhWH~(-q=(Y$L9%aDu)9thp~tSXuaN$pp(FIiwBxdR7pWj%+gwS`fy{c{In)8GO9>7|#_j;-kKd zOS2Vbuz62|Nv!o^Jh_UYAb6u5o^SMs+of&|hedojv&7v%Rq==Y_Q(Hz^LetzTZ^(< z3wR*SksUqkgl>j1Qta9uc#C)K+?}VQko>CMcf~seBob3Y-icab$_l%-?jt6!a^tjL z_F*;DW^T^DH6j9$Exzw~CWUa*`4@gQlzsCBVN+vxCJQ$%Z7*=ww}wa&ozDZ;r7?T? z;G@mQOmTPTXO9QDZrB*`GW15VG0HQYr@idR2f|r%RX(u>C^43z=)fU}_ zeb_$L=UcYU3On8wxolvuhjLr~Fg8{l5ZKaa>3PEh7}g$rq3~D?HnD9TejFqVQPFVTlGH|Zvey)kVG43x)Vbmd+pilSR(d!TFVUVwP=9rxtxE`K5W82tCsy$BkZ1GEB zV2n^U$?4RC441Pd8Ohp^xcZ*P=U@vwsIv6b?awk$+|iR^Vk`n#HHN+tleVZIS}b+F z(FzS`lh!hScLt!9YT5Kd9lV;%BRS*TZA)Nj#tIpRh00|Ce9CyH2fpwyekq zc{M9mguN!AZ1nr1Jtt)Gi%u-@+^`YW*4*Vk;$Q&TUDbY9rmWGGMt@E0Heqb9-&Wna z62P&`mdu>1j%AH?X7Xflk$G;O=InX&F*S&*Ef8JLx&N3F_t3@JduTv&|8g%n9Y#hiH~Se1t@3I zRO$SdA41y~-+xzV2C8gQqn-`?m^&pCS4Wv=T^o~Hs_M)@MyOBftC#`w_b;!r&Njl5 zhUS?^RZcMXLfwk5O&6MTl=F*>Tty}GKDREAT%6pW|iwNB^(2-hJVNAKsuKdXTP@IJb z!iVz0A_tT(#87aqP)ZWmOmdhUmJ)IMI;}-2#tOi&ZnC%RoCO{(q*oLEs0h~fB~^lR z#`xqyO{nQJCCF`{)f~yThP=1ewwBNF!Fx5`Gm8DXa5~YDw;p*Y?*~QDBroO%j%{6? zadDyuBL{RxdR%asLN;0Ggcb&bo`FJ?!J!LWjOzvEv5~K7`8EebWG8Q}S{iKvR?qB2 z>UMXLZ#LBXY_idYls$(v7+EYK!Rh2OR- z(BN-PC*lgi-l8yN<$pQ6`IjGxd^RTlbiVO(rwO`v?qx_=llmaJT0zB5bBt7WE#sklj4nzx1tqzgu%D5vSUFF)e z4X)J#~r7uztWjR|}oXzdHytcpUFZt^^5gqOV_~U$(#qB12+)|pM75zaN4KH6v5jjN* zA7w>Cp0seIz=#hKy=8FNm_1*LvaZ|REANihre~RK&R^Un-9ML)YaraIlWZ~Pid}fY6+8rh!L&IFFR%7>wWGeU01uvZw4bo z5^79P$-pM%X1p|NN&8+cJSvP|?hNHsJ!1y}`dYpyRdYzEHR!q!s0Ey(JGVoaA<8JV zJ)X_@PO9AcNbJ%LQwZPt;od}+ZS-_zxaOc5E+J@4)YJiL^oGdhe%FM6V&3@a zPejP}exk$TBaZ9#vaB(`stbW@qDIY*D?sln6i#2vjCS=cd@O6la791A2y>k{mRBe; zs+JqUYptH04=Mh|brRKn8*KG}D~pFNR9O@&os~yRTD75|tTbfkCO5vjkh9ruYLc8{ zq~lIJBaL^*@^*e_Rzlq{`90yKGRRjVmpiQ}jWlvc9oLS@;sE0wG1_~!nEl?`EvlUW z7M2h5H`SQJ`rOO4U0?c0_5zz)BbShf6wf<6TZUfiq={bV0S z-^;A9`T<81^GPPWv-q$wL$L;|wQ${HeuN*OOyY~~7!j)Wi5hXNU>e{HRvV`&nVBUS zTG!}Vi}67B=XLL2=IUVZX>+>ojC$~4|M|Vbo3*h?s_)aOT?%+WMw-i#K!PbQS#+b| z`?XZohcVt5y*C!JntoJ=1klw>RyBdFzVao@4FPm|+z&-1nL@~R%O$jrRKU84d9d%e zAqt;e8|Y10uQZAii%L`gn`AFf&}S=vc(3-osw^E?)3!HsnneV19ol>@xzYf8=c>_y zKGT1?@%_VLaUItcQ<%!yyY?`xKE7&aIG^umgJhANlLL!rV6)SyK>Afu(DQK>_ZY7= zrmgONdW>?vFhZS>WA#iJ4<*~mPV3X5RZYjB^$KAe6x_Z{vVW57RBbOdUTi?wZ<}oy z&XC4okpoINB-;Cu_IK<4AzJO`nx5PTFx-dLGchZnmlAH`0iB zDCFX3yPZA^nk6zXVpNA1yP)UIW-`c7`~5A)Eqd6!R!55FtOne&Z`9A~F~#AK)oH0q z^x#@IP0iuE_CS0-A(z}QjRuR7<@y4x@KcAu^V$LRe;T~cbS*m}@o|!LKt^_E_n;AU z4%bfDCo-UOdroNb>KXFLm+bm*CQ-=Ck}Fi(Na?Q+Q|?UO2ZX$vBj2|hfO7m3<8h?y zkKS&myK2RRvs%o$*HpCd{h?*;-=YPOhUgV~m~uUSH)w^X=O#g@u*h-I;Wj~8y`s}f z%@UwfnOcd8y1=P${?O59y0AX}d=ZneG0bWmWB&2t8mWmUu7!nP7DeKHKVJwlNBPxb z4P!%;_wWKsRK~eQAgF3dWu@8ZcWdp?T(*45*6w(D>>L zq0;AHU~#lEt7C%+dbKz(>haKm+ZvJwuZIiyEb@b+5DDzvgp2f7PF zZagt{fc$$u`sfU4{>R3*lyHd6xznn6pmTtKyPYHqb$ZZj9n%NTHoJ0WV+oY|7PwZb zix(d5S=U@qr-t8W&PsHdP}-?U8?pR=AzV3;vtrxcljI;)hI^j_tf0xNKSAJw3d~e< z8jGbW;Zix?F2Zd&4BWrIc<>2j9?yApudQK}lP@dg+%rOb-I&zaN)n`6#4`20R0hqKvSTi) z8u+6q`&h>cB8;@GdXeL%0~gRT|BU<+4mlBTJgB-_H8EFmvo`u@ z`V~dW8)4~ruI!;6fHe~9-sJ_qBbhnM96Q4EjyymzxiEK+56ss*FbLOH!u&5X2g^K^ zL7%1cpq>p6DoXM)poJk z=xYN_lL41S>n!Pu{@!sZX?wWtL(?WqdCy8N<@BjtV!RM=?eH%02^pMSU%yo-i3K;T zI;dRqQU>pzwp9SZo>vIGVj;ZW_HT8|hDG)azql-sWc z`)0oVymbtg*&BK`}eylNx9hv;dh&#w%6ZO!gG2J>kLKIw5^M6cS zGQ)?CBFG#qkGCphqXf?AVS!r9zNbw@bTmtes=LjI1}ChA>2$16v*r@nS^EoV+ndhG;bdA{{4G^vW}SmU`a#-i>y9kA_MnLUC6 z#}%a%{ucZ5u7;w zg|}vZpBm&>N1WY#ag222ax3pC`%cop=*cf$N#;0eNUpnZoZ_!$)Qj&BQN=Ch+SUFq zi16?kysfPNLGriU((r1j2oCg3m-CmlkXIucbH-vZY}OtQ^*%0#Zk8X&a8?#|tqVRq zw=@I^8pV(c3bLr(r*OaIMjN@@^!n}}tg=uYOk&x)nh0+WyylwRVt~Odf}y8rtkBOj zSMbId5evT6mfSa_+?UD!c6|-k2XbwdxL=-yIuzC+!_`%^I23HURqnnxB)6mX>LZG9 zLo|p}VzVv`(Y0Q={7MZ{D38Py4pML~+1@mKMH0iNo9VQUDTC5OQ^qe#q~T4BWOTEp zI-ZWsut=hp$A)QFFN0mmC`Ys8f)M4pV02{NfhCuXAZmR>@xdQ_;Mmk5bVpnPp1fa@ zy`@(T+7uQCc6f!`1 z7g@M>`sTTBmgsrrxU-DNBU1i$$yG)#zLK*}J1}?3%0g$F!FrBSEnLQRSaC2!4)x{& z0_rG!h76w;bysyc^i?hmZaZU$N{oqy%hAO}I@zI6;1P2}A5p^TOn%2hJNl zNTX*n!^2~<)(||reaYKQJ>Xobk;mC)g}b)8?2L*x20`>jnYusK=fhZwO)?MU4DoaKvy@GpvS2TEf^SB}6ssP3#y?3kgzD}eEIIW@ zNFh#G5cHK3qLvM)^RX%8!zF1Wu0dBrFDgW@k47@gMa}`BR z%s)ITwdVvosP{DMdxr4f{tv^aXe>qGLEVesQ5_!03Ga2NiWnpHJit?|p7BG6(Q=@H&GNH(Cg@}Vgwg7g~yt2DQewI z9U!;rqVsxJQk;?~(AxAlY+Is)mx8MOWu!E~>UP&A-Sr>H4zH$yPZfyc)j|^!*!Qf*-%kq;+k6A%p>E9wZnK z*y1|xrQ1Gfs3L=#<<+g^*CZv8%}kp|bs$8ex7v>=jE_&|EZZt031NJ9*w_L$ld4pP zX#6Sd;Fwv<*D0k1)th%Em+@HO1_Q~)BR36DXxsEfJYkGweQi}a=VkH#@5cPWtpgd~ z-dMo+8OZZjk_LBflT5EsBd~dz{#`au3~imR@yPAfg@{j1fx5zTWV23Yv-+#butNR% z2VGk}SQ1O%^kJnO=jqyT@traZ3|`tD?QR1(dU4BlnQMR!orLVmU?#A!-20G;;y-LE zIQNE6M+O9+m1Zhw8pBZwo8=lMEO48g)l<4w2dkxHn`ibYfnR3WVDf+laJ&_8bhG2b z%z{sYC3lr^cgo&f7bDt9uibO5&o=776aB4{Be(SNbV&c0a{V;9Fwn+%ryMhGUSB2L z*f2r9q_yd*u&W@{dX|1{+hK}ZUyR-x9yh=}vjcQ8$K-LR#+Du0ZZeR4SVT!`bcQ@A zGpQu9Ne6S%nijuS-{w?by}b|ux}6bb$89?zFLJ6&TT4aZ2wIH%{KY ztSS&o*&9o6 zAnt!R_!7Gux-uAMl^jvSdjIR89amK`=-k&Q8UDTGjogYZfofXNxa|W$$C-#(&*WJ= zRCS@yo~~HDmIc`#is7sjt@}u?EFAw>ZhnQA1@b~ZB$#EY;kmur z$pvC2__~#@u%pld4en@2S27F1612eU=Vieow0ZZL=Ze7H-ysk&K21)lPWaKk+5%ko zJD(q-toLQ*Ys2dA8^Mnws!O$s48V}jIF@KGg@NRa^$Zn~7{k+Z)Wu62x%i%)IV{5h zmakW}rShp^%K^jHv1V%EmR4UgU~`0Ay(eGVnoSztH9xGj7uAR6wkMqZlyy#W{BGyc zDkb#3b3x}pgT>!HzC|kiH(XQW0e`lSsv()<5H}D%gLbBNON&`On-7xr_Bt$ z(u*ga9?-+o?fi7U7kDuD!}pj0Sq*$N+(oOp=nLt>CZmjj5EZbuu*+?$fb_-0LDxM*rf|40?wY3y6>1=51touoT2N-aQw zM~UBLNEk+$#5;d1(!}eztb=*{nlNse?^-2oh&IkECqY9Vg2Y?SEf>{Ar8^zKr~8^z zK$K61$UocxiW2t%;?B{*joHQJ-$2jDtJ2lboB28bMb z;xECjhFDZ_-*mkKdU=Qs_E?Pvi zof*sQ@6`g6ywU5157qI_NR*y&AtUsdNAh1h#z&bi7n|qYs=$Kcs zw}^vq&-L@HF|u%AXpVbNEFXxj>xyF8CWh>4z1tQ&m4%Kq+-A*dctOO#=5?EiCOR-F z6y}fVz-LxnY5T>TXy+B@>9j-uUrT*{s9;Zoc0cJSTlx$kZ_fT;DNzHitIs^8yEsQ? z4<4Y`ZC8WyVln1N+vUKKeV&Dw3oMD5WHHF_MXUO#BG@=8CPBsVJb((NUByAwl+o_4!bRbY3@Pl(eB## zj=Ab!F~J0qVm7zzX<-JA=nvXx!-=~ILKmJKVu2Z{?7@Vx1hTqQYw5CM(s=TI^`;nC zKKM~u#$A<9#I}krUuB+Z!p5dk-O8d2nDI38bgJ)epZpit0$kfdg?0T0oL_A z3QNqO{nN=#=_x5(+MryvC!8`bFJ*2vzoLm6FYcDN7R`~j55DJI6=ez+k11s2l}Vsd zUg8cK0RntFkYBfnjt6eZX@srrR>E@irKgQoj*{F~h-x?N6-NHIblYC+QUDHyuTz;F zy3iJLd{wnFA8<+ae19s!4!*C&j`UOR%MNv)-u{%|2Cr@9*hf<>jaRFD-Feo^0-_uPUOz0ouede-{K(>vpUjw7e*{2NrU15_w#$o zMAVRaaO37{T}U%4zizr&9D3fdPVA`V1MFPJn|?|Utmi(aX5G_;Rg+)WXKa^+&4Mf= z0fWlO;Mu-aPUbr~l0I+k;}I2LiA*@YCuWRXlt>o&FsObU2;HEdM`Bhlq5Ep zOr`HRNW=pLNeARpjBS-|5TXL5=^XBm^M2{eP1 z&V%RF(fIYA34fJu)+@x!?x4T{HS!IHAX5!7)qaM7!^;-LR0!Vo%4QeB$J(^f!(fJSe0xk zL7F83gSkX5fkO_CtmBul8P)-*$P=8G7PCRH`Sqpmzet1lzQ)E2&)K2FvnQ_YCm|*V zEcBDX+iK-e~?=Y2Tx3%-2q)FHn%}Nmf6#OgvP8`s08BpNup zdJlKHk2;*@o2=NMDuai0ljFX0>Y}KP+U_8F2ITjU*A2aEgrU!$%Nrz0qh|N>#7=Py zbQoT9{7A!ha$Rn*HF-u4PTs$7`hZavQdVB@DYlk`d#OY1S?scZTEFk4p1xN2m;>4Q zhtt=KO2e_p`!XMGVah(tzn@W8WDPy8(ktqy(&xZCX|y|^ zQT$}@eC`f47~CV-iF#pP1QA=j?T?oq*Ts+iN4nzU*zl^xw6%4bEbzs}-z}A3!*+t_ z7C|m{cpSLy`|Va`2<_WO>t11HSM`BsGvo`R23)ptz!qyY3L6qM6#)PRWNryou&r@ZgL@O>*!oHj6OAFUrR7l&&WZw9%91VNJS zzC}c)4zBJvdE>E&G3+=pP~RCY57OUm@{qL@up+vxx;R7&K8}wMUDam8s^P>%s?EAE zQNwNVyk8mk1R9x(R*7I?X1eQ`xC~lm3dIDNNMUl_wFjK`3TPg&xOJaC5!@YYyl6QH zG&FkD3o}|e8k&V$W()az{80j7p}deU(CPT8u~B)X%_$*IsmX$%$41bbqoV{u<)m`x zR2M?m5(wYcasLeedcNpqRla>tx7{bFP@@DYJ9>%SX?Sc%XQE3KOb$nlS(5HJm)h4J0;L84Mlf0isn?^?PBBO z7l+2DNB&i-(b7=TuOk=o`Qo>A?D16fslk7_sgi6QU2WaG9o^mLga3+9s!`1=MEOu{ zPL;IK_=WtZL>3B@lAI}@zbw1_q3lYnM3_3@|7xLaY=kk6pXMWs|Kt$}?8a21(-9cw z1Ky@5#-_~&x|O6?I;U<$R;)+HsU|_p85KO8zZ7ut$ZkPf*Glba8alc z%FImj24JN`VV+O%FE?o|7>HtcmU({4FD|u(RLK7B7T!$CIrw*6C7WSSX@`c%B; zel#)6pM*eYj@$qB*O`82zb)|F0{=!9__E%qlKGY>#9F*liOFjGo7Z0dMos=-*_2?j zsKQgVMNnZr>cMck8a38Qz8k*O_@}-2|4O6$8#a1v;d{fIcgvA=6~;A~9EP~0K;oLq1A^#5b;J%FOz_C0NKl$@jF z9GcWL;r)|ymYjo#f`A(k5KJH{NE8r3KoON-!iWLs1p*RPkR*tJf|4X7iUgTHbM|-c zS9fY^?%X-&p1sett0?O2ZmQ__>6O>|J?ThSA%$+^MF=RaFYP!HUH+>+|C96P&fulp zI^hKmTVx}@aa=&-WOv_po-l$);W+)pD9%3%)rhVi{|IFH;YjuhUwt9=-nByzdJa!J!Mitm0%*USIGyQwI&xuhKU(aRYGJN8XK zq6|aNiq4ZZU1fkzwyS0dWjq>lKi@spD~nP>50)vC{c^+p(Q)UH7beXVBqILvrxHvP z_M%vP*3;tRA*5GQ zrhd&g5NTDGizZ)k|J8o~L4j`(FBn|q^+w{KJw0z`#3Qy9zPf#DNyy|w-u`F85r|t| zQbDaK1di{{ufp~OfXoZYd`qE2sPJV%21RFuIy^wRVO4^u$PbJjO}Cv3)FsYm55mDqF6ZHU)6END)Lu*~!%LO*?A$yp>yHB$xU{CqueT-q7@DR!{;y1Ai3jt9ZQjJuE$_MT;9T>?HI@ASvk zaHz(%V)b60J+cU2I>M9d1D)60w|FAB(Z0{h#{yOZQ9!AJLFpqu^ep+H^vt`Kisee(XEKnTuJ&!Nw-gT)U=6Z6L%VGnPxV?cvFq&2@8 zTP5ug$*$m$e4yrm*f^dW^(g$}{a=mS@nqEE_KZK6GPiY8G5SDZ`MhxG7Z>z#ahtKU zF&M=71K$bcDI)K)U&%8BcOxNM?mf3k43X(*jN@%nO$hO``u@Ob4~n}Q724Bm4qL8e z_Y%&?BjsGp*6KxF_!PnWPI;CMMEgG(+13T3lbl^`m-GFRwi<)_i`-wX(Elpl6jvCB zcQfyJ_{O6+J<@kRn3>ZvdGpLWcMvUlf|5u_FIP72Sag zrQSZu5VFoQ@%*+ox-(Mz23P9{Q4&XWK6RPF!K0X#-kLLL_Y)k_N}Yj9ZYKNAdvjQ3 zA&O3s&MFvlxs)!iE5Ulcw}h^f^RN2+9}L{(OTz~$&OJ!{NZBV#bu-u>=uz1ts)gFD zo<$pEG9cl+cM_~jUT`+pTKamFHKJQ_A8;Vohuw<%3@k}!n?%A?nl<+BhLUyeyHo^K zq#v5A$DtqwTnbP2Cp0^t8d>%8o%I2zIzeu9o61u%b2>ni7{t%> zP8EVmckMW8`>TKckHY=*(8CKOGaN9$prY>UA%Rpcu4%h?v%}cMM^_nB4N&`Dk4)i% z-XL(k?(I_%Ct%RnVVQ&KFvtRoxSPCkeLbo8P^Cu_plC&t5yl6lag#RXrI=?=(iY z9mq8U9r3^V=YMD5iP9cJO?CkFiI>(dNA3a*q5Gz0V}U@uZ!jp>%nj8_F4OL9FhD`N zXHU_*QbqSFRrlXWr$d+v?pA5K7%WD~_jL0D8qNIrEGUcQ3|+DC@;~c@%nP)hki|QK z@o~fLT22fYbH}Nq$8C`n?p#Fe3KOEKf4iL6@SRxjnAVK`7%4-uXi|SRfEktUui+a0 z%?w@D&G?L+k9YulhO~gq5{laURhQCZh-6TW%yIqd*V3Dcq%~4NT#L6kh>;Pn&-*#m3IRJmFi=t?N@-N>1kGwxNAODf$heMZjS{=zsIZ#7wts8rz2^2^2 zcz+Off{p#bdbN7rh?7O+cb->kB5li})K5X`Kpi)U5ZN7*$IrIHmqIT!2vv3pY2bI6hZ2*D2wNY zrZ9PLhxWU9RtUC^DVv9iBf2r0VV3*0kR-yPbg$C_b(4p@Zr+VYk!5TGxsrTnXikkk zqfZHepO6g`$!VYyQS21kVuh+75vyrOIkB%8uK25c?2kx=i1=X2B5oFSJiiUiwv^|3`7R z6xO)vJ}^Rj+vRPr!x+Z6ZqOUo+M+eKkUiaw%h=alsS)XSH;IdSTFRGWr?BU~tby&3 zy6C$nd9vr!6lOBkr<+jj2G-Alz1(J1(RzHa>Y|(}9Ql$oP4?CtR0qvp4%1p7o~M`K zjG8VyY4&jl?a@Q?iK9$GkF1bf(OuPwab;5GY2A^aH9Mpn5qu$y*#u^iCSjz474^o@ z3GTVB55-d}jJ~-zaNIkP5+!bh_)5|^)v6=BEN4_U1JFPn=QkwX4~;+w@_gC{brmzA5_DydbtJPRi5|x&u$Cc6AE@SX@{ zfBI;l?n{bz{>d9`MQaANa*@V7$PS#BmNMnqC=so5seA9}e?Gh8KYRcFEPoeGlj3~Z zM*#2wdD3=M)JSG^h@qe4%C6gcBFWCw04_8t1{~tGhwWpJq*61k?z&@u@bOKJxkD!KTYOi1E-7OcAFXt3m!&%DY~)O{t+xWc8)>&K z>CiRa1sxb{ zq#bh)(*>!0je&0i_0X`z;~kdMQcx+%9WMLE2043Pi5z&g3+LKRF7?etYs+-9%e4ZAl z2DhK+cQFNz_-N*322wUp(iv0L9Ag+-C>9@(mj<(ot?rqvZ?Jd7560(CU{JvSQ1H~S zIy#+t{vBVr6!LsjxZ|jaI+~8vYTRiCXm7Lf_3&gnq(vDcl1xxXCMjF020Ak6>*9^- z1Y-=Iy3^usjS?WQ{F9eDJ1IM0P3!KW3l~ya`Yol5K^#7*Gkng_5=WZeZL<9>hQQN% zCR7YCgo*AKoD85tuRV^_MO6~e^R3c5Tl?|7B=jNG>ywDFENb^!P8qz0wkI2fi2S9r{$06+N6V&$YP&`m8N zyB;f2hL;+54Y$21q_s*Mc*SalLSzgyo|0q(gRVu1tC6H}TJ;g`Lx${#ExfS%c!vsP z=LtkyCTJlgff+q10RwbtP=9XhqBIQUyP#ba*1)4Lv`G0{6Seygo@+idL^FOg6i&Hj z$T<2?_Xx=`?so1*_r?c%6d7KPZLe6uyY1W4&sHtLi|u=Po38-lXxwzNE`@4=EzXpk6)Xq$3f5g}#J3LDH$Y^kI7@HV^$)27joOoe zdlw1NbDd%5=$sx1R`P7qh?pa4Y)(k^2+4u>ywv#nv@+U5pw;Ww5k?n1I7@^}grR|^ z$|T^S8L-~HF6F#m26!~0bJ(WE(dP5|QzG#O2m-X}VS7&q$)jk%ZUhE{|iHvsYhD3@?ZSbD*~E za=bP;M&1eSo7Mnr-nV9P{;I(IeC7G5rW6u+U|Z{(Ob^vj<@H?Z_V8)*Ce3Pr8Jyh3 zJ%95a2RJO9QmKEWi=+hVuXT4BLrv_~8`@-9c-ts&qsfo}hflvKC;Om?$ki6#ByteI z5URB$3^|HS z(TRQKVlL&ROjNa(-R!SSk;xc!s!Ev}Gzx`>tc0?|mBr1hMixf2FW#P4`zfhD3X`Dy z*y@PVyc+pit(c(fqe<|nygC}Is~Sw0Gx(S1ZCfUNDs){3#Kjr+rl{z{b}(1ZYhObs zjoSCZh5j4%^pLdSky}zwtr7MxwL}+)>WLPvw=ne0OUu0?iR8R7+91BHpCk4Zjuk3X z?1bI+E&{K|Nm+r?s7l-;fs}(S#z-SvfU5yd8SSs9<%CZ@z6<65pHL)j+ny{ze4p!tIP z9@D%8%HQpk6!8WRo1)b+`V7KgDo%H6n?Vf}63^ibTdh%gn9W{6V|!FB|FA|6lZP8x zXYU)-%0Nw6uE7A6GMv{-^o)ILfc#F*+rIXbN5^h)vafuTh6gpTDoyWb{L8i96s^oh z7!Q-mb2H;l?>ZTj@zyExwzne^y5xS4MV}n}zuI5UrduMOHr6Gorpck&-`qEHIWQ3B zi=K)-sfL~&xrp1i&W8GWl&zz1Oc|e3u#RNE)1B(s>7(vJG za`(N@RZzM}$0^B=W5fvN%N*p&x+Ev4iZjg=9zEYR)1i?m29rDa=!UQ15bIMX&CX{k zKt`<{na5{^j;vWbH*d?w zYi@Oh)7aPU3B!HY3?V9-cFt;_AuzR--wU{|j6N{(Q;UvG5)F9A%YKN8LG^%Sx^RgK z9DLONe&w77I_I|SgnR*wmsdXOk)9!TGE#kfeUS;#DSl*j(X$1f*Eb$|-Bm!Q*V1K{ zk`-X{E^DNbz$7+arm5)pnir)_j5;EFZsZly;v+aq0cTEL#9z(90Z(#;ou8&LYM^!K z$PAZ8Bbt`UjHk?iQtpnZ*o-<@9CC8e_E&++1SKBNBibPPWu`Ji$`UHxeW14KFhUE# zyutf-lbn>PCdsv-4k-UY_N(>Xk3dNy&AG=8&8nmqeS71ik**v6by`P1_*BOXC% z-{hdANQAyQjT1TVe6ZVCmJHe2;8s}b)eyV4s?EvIM(`^31KsBa8Cc$VGwRk^cBI*J z+*mq68!iiWd@RSyp_EL~VA@$tWY&JypKVAFTF!*o^N<{05A|sd>@6}!ZPUfgdUT}h z;v18JH!qSh^y=lWy+2_BZ|vgFHDsv*=T4=ZV}ki{sRu)T zr0mNyb50JTqB=@F|MLBV_Y&|`pO zV_0_40@)tMf-8H((bGBxJAoB_xX{69?V6{9Si={X5m5q4j+XBWwr50*BNB_fj#9{2 z*}_+&KoIfmVZ0cVPY#rC=U==eIS@r5o%fcj5!&(yd{DN`4vLM{^9J&4=ulgYkj+^E>K`w=M-Y%BRx?+kp-A;Cd7R#ZQ21Y^A zN>fx|eB~%`nvd*Z4>hB#I zmL)lDzkNSY8b{Cvy<4sv%)KJ;@1~Fc@R$8-XW8~X;XrIUlv!r*6U()XF-tI!L?=JF zQ1S)pqnV8xKOQBLT-&9#Np0D3kQ*GMiWCH3&#+|PyB}&GIA{Iz5<4q!2;J|ir&5Ha zN%oz0FDaqVr`k}F4G*Mn8*p3wAfS7RY>{++9DsjZD0(eT7)@bp3ifF@#LxSF&$WkR z*wWAUN6T)o!VW)q@jm_UME^4*g7l>N_ea@Ux_OFHf>7sfe_m=@HLe zQZEO|IOU`i10^()DgWGJL=A->*e#^MDh?lf6M?)EgZjk}We$~6VBB%*o31V^RNEV) zD^u(U>)7z^B(=XHNi$xhH@Q(|e7ZyQ7e0tsGj8o5t#`W0)WsT~*MSE0?2xrx+;E@3 zebM5g3OufKw3VY$0X~a64|(rU{b_g?oC=F8HJe`Jei+rZrd4I;jI)^zn^x?mviMRLW0tm-53Kb8WsEPc?Kn)xGvMyErH* z;HG!@k+SxeXxHvMN44sx=o{jaD4@0;a>@0cE7)II-C&+r->YE zXQw1(H8aQvx~l*Sqptl+UNZMqq z%1v_l_zF+CYMc`R%M$t5W>qH0gI6*%Sx*%{_{@CUiqQm@J-_Xs%hLm<+PLNOLNbW< zbu|@BmON@?I#=|gdM89VDk07?0(y;oA!Ax+gl8ce^}YUTsEY46`94x6dt9BJd@re= zy~*E2b!(CvBygc}Tqz`17EMU_lW%6oV2g>8eXiH7rVRE+@o&~-q zfEu4~V_)VEBH8eM%D&^;=vr&+f$%t9m|@}&5uL(AHGOh{*nw?~vh|j9Obaif3%W)u za!>@1)4l#DI(5OTLNRve2_sOrCOQ%7RMFRo{4S;v6%;ODGktXgLlv5AqP_Iw!15T} zuF7k|>Y1>6U@wl|<%*UIt!X2Mbla#jlDleb@lo`S0eP5@@hChkEf11ZQ3io(-PkpU z64R|O25`~G{SsX+J$(K+_nX9fL)3UJq-FC3Jz99*+w`?h6BsiDh$Hi?=xAvCSmqOY z2z-<-=QyMREQ?j|gK;?I;NSG1CP5Q&bjuA7bMAo7ShbT80t#sMXT^Nn8Us}5+h(%A zmIM1+Av1Rhe(dLmWfx=i(9-1ANY`oQjQ6Q^}U>I zJF5s&K@-MNo~*Da*P%8+r~WI`O3CPr*%om7C~ zBRi)VS=kYd!{H^}C^cx$xD?FvN(DF%CXUyV+<BpW6ihM$u`Z$23%mL8Wtjd@Ew z-_kT;xNo~-h_tUM6Z#fUE9e3Ks4h{nQx$4LCNt+eN$!<$ZRUq2`UrPo?%;be9D0?^ z_*=6D9jvCQK+AQjGAO_BRYh{NNhml7fr5x%=H$l9)lcss)2Kw2*Y zdRQ;m_=QIuzK&f^ov)>b8lzRqu>q26xKt>L?Tr*^zd^0fsZThh)8TN&^`acy^hofc!zEfXtD0_tnyNbXnt zfyeF{@+e(L+IJ(0^m!uZ==b$-p~I(6e~|gCjQXyaUx=RHz#L>1PG)(^!FN6SD5h^b zFl{;HWy2zh#$Kx2Hxbl^Gx5_@@90F)qxvRx%dlA@;Yj7w(M#+o78kEM(X5SblTj88 zdt(4QPY?4>TYv#wUxopP9GVnn=(*{x0bB7MrDIM~|FrTg!uc{;%b6S9v#@d=iIqkh zPfmNfAqn_Cc=lb`7ap#>vG-#p8Ow)JA-cf_d znQAu+kb(h$sfrCtAy{49^IWKo3d!yJbUs%{9{Bga+0c@gg|74OIr3h16J;Y+&Ry42 zLyrA7c5}_Jf%S-M;p6K9Aj`=n=e}VGj9+E+Io9++cQV~pB3+H-pw`b0b=5)(=dP_) z>ENJHFU+59)&$mXYHwB>DZ==Tk6DMvRgr1Yofh8{+W+Oe=@|qE0*H!GebD{Xfe{(_ zY@gI8k*NS=#|Jbr9!?OGJ>HdO>5CzGnw;gAUIySH7n*b;oEIn~M?`!@RA9R2+|7+} z960dH)i#b4?yJQ!Uk!oPslq0$Nw`u<_+d^x)mG);~#0p%NKl5b? zbZD^BK({qs1Ibae(KIY_BB|Kat&*eqh{^SAnImcbKqh!yf!)poeJUu4ah(){$JSTe zK4#&;VUM_JmlG)Z6=>< z$+e}1`$=9W@T0nDmkM?&Z&m7$FDa35J&+1pA2$_h((>RMnAC zZtG`iFC6d*id+(H8YR|~3GQ`yPI5k07ZMYi2w+!#gROXo2bJzizRbfR1;>x1G$&A+ zqgS@Nd|xN{5r<)Vc^Og$;nwqOTE;pkrHuVY*I_Mmxu>i*#Fh&&#wiAVh-ZWAFU=!Z zI0-N}JAQb?O&o0Mgv%Z8ae>?R2al~%Q8bhGLwQ1p^gS)y4wE3w7ln!#GBWLxKv659 z%@ps*P(b9-uNk>|h-6$ze!HX(+Kh|S{f+Dhe=a4jFLE3EL~S~?k2D^{>lP(_NN0jm z8>z9$1^@W*Sc2fH=~D4}l9rDJ4@igB~f+QEk()nkPAt%J#f6(h-7N?=F8ztkVGg z4;t`|xs&LSuEEW5S^*wK4MfoYSRwA4mAo8Mh)0)xdzNzHk}UEwNl|7?!l7Fcg1fpR z$e`TZm*!o(7%I83(4Ln4lbE*Sy?*XFN+d8vDX$Z#iK5o`YImm4qJ>SnU80FnaJ?sA zTh3Ditv*}#_{W-&FKw_PLLau@h9e*)aEJIE}$%YX_cPtIT zqeo46e>)x&2~G)jmk4MjMclD=0f%b0qBMVc3m{$ZCbg$lJJ8R#y}sA^3Bc3h!Ry*B z24zv_pY|OvM}7HMzvhn6!p~IW_QMy{(ZIY|OZMCIg}81kLon(&Yjg6<{Vb=4Rp^rMWZ@dHytJy(kM&N}13N5@6wxjkur(YqVVo;~s? z@bhU`%4kV6t^88kp_>Qd-#k$%e!&Ecn1}jhWiFr=7o0lUJBNvB9wKAjJx^45>k)8J zoC7^s9Xy{~B90mwap7rNoJeosx^|l4B$52}=@YuceOQF!+juHvT6it7@7mH$2^6FO z2j8X$ffSx8q!>u~RS$xg#C3&{>+%KS$|eq#oqhTwYrqJZY#hL<{dB>ygC%!zNd$ax zr%dp|qcE+wbVEq}qdf37KvxRk@357f_z9CB*cLj8w3LWE- zfk6J}%H#wBQf$e5{2LIE%Z>HiFir6F6utND;eR zAq%HdoJQ`;N=7MsnK*e`Qf49yK5+o00e33*{>RxK+<(C%^T zyt!OWu-%DWGFkll=XqpdXXMm}NbAUNJZ?L+vXNYvCWq&oXi@C3M~Yutn4w`LEQoJd z6n!Rls*TG_QrVp7-EKpT(H8TREnQ_xlu+ z=4KSo0mBduRv8?0T<_>**Cj{11N8#0xR~5{Z!Tcz#$465xsC)jcgc40)hKr_qBcr5I z|4;X$y6w`4Kbw8o%8r0eH|z*bAh`%9tmgY(>{UUL9GW+`tS5*AC&Wd2GIt`8T*(7% zbDGF1{Aczwjt!Y*@9sKC>W?PXQsfoh(E*QTpNkqy7#Nng>#>}X0i&ag3t2w|5w6Fx z(a%5%Szz);tHFHe%kzf@aU4oWYkPIb%$tD3Zu;l4PfMb@)>ompvN@vtpvnttnpI+& z*&{QnN*p{AGsme$s)FKYn{6@DxdZiPv4Zp{46acb5^N@!kgm?4(&ITH)P3hx)V7e? z->v<&e_3pxTDeX1SGi7WwdlAR4Iv zw<`YlYf}B|7IUGq@d+L{oXZFAwh*B4#U_nVI6a(ad&RL9D*|$Rvv|_+Oz4h@9#Jr# z6U7Rzm?Tw5fo{j>Bhv^1y!Og|b$b|(TA-xk329x8g0cT7DFp@bACC*P(-DIYEoYr0 z+9Xh#GC7slAz6r>ucCcrD2eJ#OsISxXrbj9w^+Xr5qK^9zURsmAF3Ut@OrzO3nos7 zPMj>%M*=)Qe!R;e?>ur6KSE67)-MF6^VsPGPCoeCL@=9AD9X`d3 z%Fa7So+p*pG_@q%=Vv6qL^YhVrdSnNCX)>)4|Af3(E#sBf-Jo7>1iI0QAhHG)r0Ti zv`F>mvp&mE6{M~=m~L}k4N2ra%FQEV2Z5{K=46hoU?ILi)}KtMpzYj>wh*bm^S_(V z{Et50w#DwV@4X6?smweJVq7I=*t|J5(98#R;-VSXOLft{isvyK%ls%#XgZg^Ndj>X zT^OYepe7~&h{&P?T;n;6xq{vD^6$>v{B9jiRE%CKC46-2MNAVa^5<($j``(+- zaUfr!5^b2I6s&&o(y(t<0(${Q?vNotWOl3Y;m0E?KsdSKV|zjrWqY@9dKk$f8(}q3 zQ_}uL?`gK>mGNz2RQU&*uPpR%si0Ez3{eEQnKGNc}8^>%m_u`N`pp zny*_yvl@D>a#s4m7(_6avR z^itqu&sD1fr|_<_&~*aDSDdNzd5MFh?crIYVv@seToEriiboDY^2hNnRFJaE7jrz1 zBFt}oK77|h0uECY8Q0!pg~^xU0bkaHQI4pA6XCryOm5LH^<0udn;(xP^i3&%p_y8? z6Y2cwf0XOLe;+&DGXb8jYM?8hCn01dj^eIl?noAvheJ!E>!Tzm?#yGSrwVj(@XC{M ze@}}Dy4usecP&o|bg~Z1ek^8!df_$xR+5`-P?~z_GEo^0F&=xPB`pViB1_+Pk{qj2 zlaE&mHJFicw`cL}O=eI!Azej7k4K81k6FAenkFu!bm7-=JCT_q@6LSEJg6{>>b-lV ztHdj%Lg7a&*@0hP{PlZ+92z`#DM0Fs1d_aebEl1r7F@n%8CxxdgGdUKxhP{XNDQ-B zn4lFy-N(#vzs)PcyJ%(R9TCe|Q5iGxjbKFW2In{`CZ;eZDzn^YPe}a*+}En?SNyO! zE@+_N^@>-9K6# zQ95*SnDeNit@A&k&UdX~kG^kAH}i=j#ZH~bw@m%SZMHVasMq4iJtO*>XRj)J#+IGH!L&_y&%N#c&C7eOcQ*wcp%ZV@+Mw(sM0;sKvk!?>6>b(sHRILbM%j7&T4 zXg{;!1Nyq5NYQ+4}rHK7H%^NeLd99~jv=vU`abl(#Z+V2>tJl;C^7%+3zRLou{r-?$-o zgL;*9TNZ|ePB3ibt3zs{S5S5<0eUZAzmr|13N4BZ3f~Jjp<~3*qD@8#Mb$lL$kw5S z`#)+~#=YdAzG-ea=f@iH-0rX|57k6bXqbuJSv^%m{{EOwzx*gsZ-6a7K3$bG&gOo* zklTShOOcZDNt6SI11&kx`D!SKuCAfmP7ao6jtq6U zYT|h#om~SA`fWRY2&$r$eXRG}a}T9wkQ$ec_uXOIcAOX%FiY~TV%c4SR>6exXS`gbSG}`x&19HsT z#@waYkntk%^j2F(u~xE>O^qS#A?YI4s$n!HW{17Wel-YKH_T(0_3A{we8qzU9gGU=NTIzh9(NGH$_fq!clsI zwf9wcn5vbNX5>^u_!6Fhg9J%*%VSJ5@+Sjilm;ZshpRwT0=rRPvmESY+Q@iXNd}Z+ zMTL^$Kd_I}8GRDwEa;3~+wRm(Nz@j>u60XJ8jU4sIc}21C-iD@KL_5^0_))ejnDL( zFryQy?H?MY5$-U3^;tPZkj;;K*2$xc3fn|<6>x&+cG|}%-&s|dJ98wQEM63-g{JS< zkj`U|oCm)PmkH=&9FKZqp9GAyhI*#Os6m)rspg^-Js9?yl~M|PB{phs9`~mfgFPL~ z=f65~L%lc0<%aV*h%KqVsM=_p*hQ6mCbdl!tQgt&C)*_8p2K?a{$4gDbJ0>&tX3U} zbz7b}8uAGLHH&iRX$?esEih>NjRwgD{1(f6cOQEqqg7!(&5Ib_8fL2V6rm>hrDVrC z6L_3CFx}9p0JQ@J-(%I~{*Sy*r)UbuHglq*7mY7RUe!~jFAQ5Q67CqA&ti|BSG?IU{g{lLBp5-4+lA>Ext2IcL4e7AXB9(eGB`p19r zKy&wdg(Gonpu{eH-}(a&6j}4~w3JCh==}A}kkTJSW7K})hqW-m-q=y=9g{|?L!t@Z zyx%ZI8+%XXOWbG&)AG-bTmpKu8P;z`DGvjwhsV}1A%xpI!0N^!i=GGh#=jG$h2EW? zX8kSIfh9d;4sV@jI?JGhq)yE3#Lv$VW$~I+%eS`-R?JCg8E=!o5vc z`v1hA|4TLg=@F0B0F)9go#M#B=i;XT4)zYYS>sn;dZLyk5 z5{WD*Wa3qbVuTiAj$lhjh!sW0qxL;w7UD$7u7^f7O}`N%{4Z=78)=l!#O1d8f}YQ52#(6De4#0{YgRsZJ8iNIsQe ztjMI0Xv3X=__HX{lsim65a2-@8=={?BrvlR4te22>A@)}@_eKwdXql$*SjMNQ>8^5W$R=*=Bkyn+}%ayqMX)aq@h6;jdw)0+zo=9b#PrSj8*&6{*C@fr8Lh9t=qFS<4&h?vo!g~#2!Rh;Ogt)_qG zHVzFQnEV;BE{iJQv5S+W2%POcbTd3#770Io$dO(pg7z2hA3ZTFhMu(^-ll&z{=e|9 zZTdcbe25!u>yPtXcNakt-VaBz?k^I%(9nZ|yR*cj=APSBbbL@y?T944N}%(0DLZh6 z;^@o6;P1(1;%G{BY;VLf1-PQ;bt7w%9rf9&3FArS?+cY-aAJ-!l3?xBkBudRHZO*! zzN-|-${#J#k@jcBeGa>OsGJ#*3&o$`E*Aqw74Gh159CmZ#wUBzAF_xbnL~DweH-)C z>sC6}tct8(Qal%($H9ln?xy@0X(T$5DXUP<4m>(*%*ms(MDDu`gGOixu)6CPbuV_hPKwgeKsM5sW&3acAU zpaeQp@!H&sw2mC@LpyUjiwTjjh|*f7G6Iui$C@R90WxdWc<)xJp~dQBB^#f(VYX!` z>XtDdIxm=5T%x56pEZ4=@~)A=QM%t;TrcqU_tbKb$o$W6AwajMVt(icnDC?s|jl& z?Qh6)*sh)zhxIlZ(b7UO#3w3oC-Y+;@gwcYi7Y=Uh)>;@bwGy+4#eFh2wObH{y8q- z2D-mmZkhi2>kr@p{+e~G=HG;_FMhZAn*Uz!(fmcPOL75I|9(xiXLo2=EbZ_AJ?Y8m zZ|wX3{~B5X!(U(fn}+resspzD%g6f5hx%O)Z1?Z3?Mc`F*9zT~ZxuoRb}vH`{(39^ zW=0nLs~ng5uliqG0~?e7ss8bKOYCBI^N{ipN9?8s?<0v`()O}nkAJB}rD{HlxEcU1w&Dz5hOwb(GQ(dog6S!8~dIi}$|>?Mj;E^r|&OY=t9LVs@tq=BI&w zZ`EOg9m?7nwUfmSW96!Qvs>Ti7w#Oj_(eYHVK-=X4{szIV4pj^JFX8IVM->+ zEo~OoSoW?@USi^|*yVhWYxfpie)0a3^42-?Kx9WIhON`S{kA_q4@+s5SvVS7Yg(Hujn{*UFd#*ov>ga{Q(Nw)th#mv_wsi&5LV^)kc)OKpi9esk9W zb6lcNqEGh1_BWoAN*c8N#rqG=TmG*5ut+=sJ5t>?QR1S7&7RDley6R21$T4roKe-s zTC-&s_=OBGvnpv`&X*P#N)E?)RyJqt3s0|3P_Q zoeTNKFsz9ca8|v{K1{%-czY)sU;kUVu5|DXU9>X5;u7yythyUvUR>(wO*)ns(yJ~f z(%E3QBX8bl3UtK2?9=6zp!C7$!(?AYzWX&E`=jB$kSgv>W}=B5*o;`w>DI(Bs}C{s z>RQ+np`G!?LAn@O^gD`9SHR-&Can)>Ot2SO=M)ndj4{KT7B-4FTa3`1F8=VfEq2uG ztWT4xGe#~*=C<3;6RY&&mfD-@^s9XTL4fZbw=t5U(!}axT~Em#(!@mG7C)%q)xsX? zYBvPd=wLC$hW4ATygV#~9=u_ekgM`YX_fARh&^R97z?nc*-$8I-Ei<|^ajO@fg0=Z)GSm%A8Mi(tDd34kJozT6U;nH9{%7HquHiC|dyB`OQz(3)C1_$r z&b|hRBM4aDRtKg#WkA0vN7C3BTV(rYwu{LeQ_hAw zHz^Cu_Q8d^bMd<{jgLZt0y6g4W$U@70~g&e;qB(^xn*yxhIO;JPW#t<%YQZRI%~W4 zo8+2UN>(q_ApZ>2@?Z zI>|cNGUCtmAe@vnlTPvZ44Epn02E02w^2%qlsWF=#)CPV~(=%pDpdi@IJ0Pi%~#okC`>A6A85J^91#7w>-*?i6Jz!-wBBv4F6Fn#bA% zj9jepuotZs7Sh=l7Hy%8U2n8-zIa6k)B7rB-}jpyhP!i%&h)C@@8f18%(rTmOZk`~ zW-A!Y-ehTp;c`-v%I=u`-mY6?jxUsqmz^AbpFg+5l9g&4_lCP;r#zq5Ju`N|Mh348 zm+be!W?B~lA`OO@9_nM*6Vu@J7(?uiOv=;FLLWRx`|!FW+pq$_g7krtVT`Z;KVjx;e@DJ7Sz0hj?yGIbcCrK6%F%U4LIUA&tB8 z9%Y+S_+i#va)GxG`(vMTydP&{zj*(>aC=y;l~}N7VPPB6)C=ZX*rLuu3e|Nj>_IWj zac(M|zj1z=Z2XM3UJnxu!9Rc0r-$u3?d#y_VuY0_9d|e(Vu;<#xxH@n)f78^<>%+N zNE57HfBPImj@94RHz}-gFFO$Ie;HF|qj}j8+f7Jp zzH!hGJB^JfxYX>%P9>lF*&XBct9<`I0zV*ys}iWw!fx8_yWaXm3!A!HX>%o08;c0a zSAQa}gFRo(u5Ja4bgXq{Mp;vjbfg<2zrCrCX;XxFEa?ARd0zCs&Gm8G7&}_}@cWTz zQ%p|sRIFi*IVSpOF4N?`HFk(6BPfo{{%`Z*>2IS>Iu-v3G7Up~1vq@C3M+j`Ys$3;5W zwa^95?+Uuu{ksC;S`ir5^^i_7#a#by<7ji!^AA)`8U3yP{_8m06f-rke(`C;7#s9a zrQvvPiRq_je_58bz*4MbTAaSvVfW<(&j;VO#|9@#euUoNh0R#LzJfpPiZLAdaC(~8 z38S~MfemF}Z0M$1!@QIWCdSSo!5SEVS?@R)LYA}#8#nRVsDArvf6MG7{HuROeiXXil881 zKoLPPfG8pc1arRC)~UnX|334~%)Rs9`MX>C>8>tHDeCOA_g;IgZ+$OJl!jmGS*ip6 zIan9PZ3pH{Y}O^~l>Bp%0ai%oU$0FtB=R9fP`K!FJ+9jrS@Sk2+Kn)U%<%5V%|&J~ zHa^p1_1qk*H_y({pje~ef%E-{jW$@5Z2$6pHwD~xCDtQb9I)q|*D#8r6OwiW4%eW$ z;n*VmNVB^xaD-ae=y2YC?YBv!T*ehEg3kJ-<5F&;=S`@7AT>Ph|};r?PnZ z*j{7AHnwc)oo0+D8T-DE|7nI{iTRrfb4)RAcF%mzxmMVgKl&8Q-vS<2<~Q}U*dgT7 z4Vfl}Elyhp+(xY<27Eq>s6|pCKOxb7UYs*zBS%hm_~?!)1G`U-u5-o3!s&BbjOjSK zo;m7gpc@{PBp=f`#v)$#$Krv2QkD4M`qckuxVv5~Vth9RxjysrlOXF8~_l@52Evd{>lpLgZjNE+k&OEWumx(U+V+TYziV2Z_M0o%s5n?a;z#^H}< z7D&H%%3L(w3O98eU+mdvjkb9bcaMls;N+=(X<3Io9-kkxVDoA!iYqb?2k&)4W{uVK zZCS49Pn@vox}PU3S)$65hj?I&Y2mQ#rF4v8RAuY$b4RHkyRh;k3z(`@IosSHA1Pm+ z(NukZ&+mU{z?Fj1j*9r|p@WkAoReQI ze#Q{WlqK&ihZL45|kBB z472B2VuW3RsztdiB*o6p-VtYm+X>z6E@qB6({HS^OpAi2vzM|MA8a>NPUg&IJcvd^b6ML1kjT6F{xL3X-TmHTWYI;K3UX1a_!y@-q8&)6= zF%Aw9E~5V)?|&HYeRpJBBA4r+YIF+Q}(~LxVNAr`1ZZSu@Z_+zoD@%mcGW$8vR^T;`53dlmL6yvOm$$wS*dn1h z_Q+5NjB4BTP3IhMy!YMlH12dnz(%=|w>G$der-=IC({*um-P~AG(6FEderfhdT)#p zjnbj^d855BX;@qj1BM??sd6*Cpgv;d(V9j-6iU>-UGOCU!CmySFB!krbHQ*YWte5= z1RD_bhQamO{$$tTP7y;WJxy!X+-gYdr$#tbd3|fSnlaWDQFK``ynVQ8RELVUDIUu0 z?ms=;0%L|1zFRJ1f$i42?XeUmpnZ!bMAJe!6v zb$ye~roQkhans%y#D?#^Iw!MZ-bj6D{&Hdh2l^qwfd+CRxS?}l#H8Jfzy16^o!@dI zRlyMIQR7FSnQsWA8CKEW!G;j(yEo@&o*_Opevw)qU)CUK<2m3ZID6OA5N!Apr zHS9Em)6MY8Q$gFj)tsn9S|B3HKq&f<6&^Ocm^OQ^HI9DK^HtNa#q}R5a>-*H$T}AP z9PWs4(IaoK7dk@Q(?rbE(ixu@Orc0rJL6{OT*sFp9#}GY?V}tm42UtJE%R*%ZY`Cr3KO_YJB0K8gq8V7!LM6U98Ty#liTEl3~yH{e9Q-#HHUh z8g&`sNaXuX(ytBiURF_f`FtaEH|;O~z%s&*SL<|3M;PPI>Sr0_B~8eEd5C1*8tpA+ zczb1{>A|aJ_`2ORchv+-ys2FoF#4<|Hbiun6qi~NIt3dPT1tIcDQt_mpKp9#5@L^x zz4wnDlceD5(y0>9l_^NuZE;)f8x^iuqrO%-QgNSF`?#dp6*GPJS4CF3KtxqoNO_z$ z%nVMdceV z`tN*Dx5@eY&2RnCX>nqQjS%5GG4b|kBMAC%=094cpDt^Rp|v7$4<8%DVA`ooHSQ)j zX?gqO?h~dkH5t-c5MhR?wqtbV9-Bjw68%xl*%Cn>2b-zGt-x5A*09OR2K$t*P8-6s z!Nr5q?<{{|2N|>O4=;2aAdwQq%ut~a@w+25mwc*Su0e%l&*nWpGo27RWc;`VtDWI~ z@RHY8H#hi(zZ4$V;YR8WAFr#w_i>IlI*v$Zw^Y;7U@oRGgG$GaQ>impqD*8+o)PJI z$i_5-J|FEBHQ#2gw2y&WchC?$BzV7*9j$12+mup5?5OpRiBs!hY*_mODr!UhT ztZrCCv@>tY(;7Qsf3-#Hoo$rjUI%;%zZ27T#{s*Zc+#?62G7wd?g&gcy^{Q=!4g+FRVV;t5q0lUBHh!QQ4pFHG3CpLk|ML6y zez61F=v)(G9+^OCbN%qW=S{FGu|mrDwh45DbG8O;F$MGbYxXG#Gqk-MbvfVPoQ%6P zzke(Z&9%gR87W!Ck5;Ju(7s#tiZ$jP`|u%G)ecf;9jtt2*kOD8ON~pB4$u`jX`$QT zfSDf}Lrh*$$as6NePfP`wiBr{kt$NXd~Ti#^pe&Yt211on`q|zxXlfvE+22FJ@SOa zLHk`>yuHZ%S#=@iHp?@&k8Zl6 zGkwg|^q1~Xv`+C&y5WId{{iLJcwQd-imQ3fcps!run<}x&xBW)l%^4jjy2_*2Gn1( zi9S#^ett9mFw4>p?xN4%pXlXa?b*j2NwF+gubGojIXoPnsb9MyY$9PIH?uHwivM43 zy#1FP$haDBh8q*NtP0FA!_8YUo1!n9!SYzeyTcF7@M5p-9NnFR<1089d-%F0my1~u z>!~%S1veBq^w_|DN!PODb+(w^-EcW=x&zVI;efukD{iyaQHXOmh0J@3jaKF~mr#jw znln+aa7NFD{yY^2SB&fyyTXoe#psf*6s<6KoRUzy)wa!pJU3si;071y`r?k=w&Xf- z8b&BpzS3C1z?Ji7T|PXeqfqrlRF4E3XN11K`x?Q5?S?45$9{h3iIEeoz085Pmb*l( zy&w9MZsq5F4};CJbD2T2A_;x+UuQiR9)y5tewes84;3k`)oxSd;lJe*VH12iEknQY!69y%0a1ryy|dvVDEF4tUQs+M;)f z3cnbi;)1mla$KK8^%?J}qT-VA1K<9+t}tFZu(z;XN4!UyvXeBv!M6EGA zusG5SOVms^i${8s`OYs+rnfG%&>_;C7o|Coj`g1|)Nt0bVXw0#FUE(rPhXpQtu!P6 z7wo5nety6Pb+o!@<(2>l?>>c3#UaRl8DB>4^h31l=T(nhMW9oD(RIqiXb3$DX4ae! z_|wnt^+RKmJ8oFu^Yeg=l&2Qt`AASte4E6Mo$$sIrQdGpT(RZ(TUfdGw5+zqBrC0O zbu%0Exb~-xEwv@;)App^PvgeQf^)VMjLy06IWLJqBu=>DgXWs3$fItkJv?M*$O;cI?t9MbsP=&S*d0gb z%=U)EMvBDg$KFtTsi1quj)pZ3=e7$e(&1IKGgWae1HF>V3cFI6i2daMwDu(vs@vt$ zzVxtA5fnK6va=t`mQDKc;VcI(E!9^c6->nS0Yp3=fgGc*lRlo&FzT_Sn_mC(uIGZh z6+aJQ1(kc_HVOG#;q$hyyLEG|u=(Nkh6{?;u(=WG((}X`%O4L}-nQNbQQd6Aeo;G! z7lf(5`D}+0=DRnxGabMfu{SGSiGuXLpF8)qIlx6@TV%x|Dz1L-RMuEU!ID#@YiKOq zx~w8+_$}2DpL0xlFH>F7;8J;O>v|{j?itYO8|M!B=c?#HA^L*6AT{*DjM7as)Xd<%6gf`AVfhu(qnhbN-kpVn`%~1vMlo?BdZLTw zTYp4!-=cBGu<;st`#Nm`iTC3W`#><%%~#g6bHcD*Yj{KDCJwavRzEX&5QWCYo%#!h z#=>cU8tyVW=ubDl7Y6u0UKDLj>U;$8vfx}K7*{h!nANgA8%!zNz2nm?JF*{k0innD zb-I!i^U?vuCD-1*_oHB9TykU6UPmy;@6$Bx<>?82`JXtEx*?I1p>NZMIfEY`xS&X9 zmzuB5;5nHa^q#}=@W7-uQf)COJ)okcJFoncCo)xM#$NOE!kJsgw|I>8!NF`DYNM$S zQnaV#ZP`UbyKJpeS2hi1Ol3E#cmf`We81V_8+wsnh^M&lU=X{N6>H4WaPjy3I(w76cxL+oSPY6t2BKXJ?35NTv)m z8L1ffrx|a-_zCjQx86J%$ut^_mnm;9Y^eNhizA=kg>@dcBl3>+C{j!*KJVs0oNF9V zF(l{a#$^PT~PKorx*z~881LbTO7u`=6N#wxi z`HQ&=zWL+R^nk6I%uu9HXz!>T5sX!1Ix5GChGFcE5$pC`3&+lt3mdEV@bYSjuVeJJ zV)4*;f!>B&aS&a>U79B|Fe;pl=r6pXLlQF)o`NW?LYpfOVyzMA6%qr18Luje>HPbv6d zOp`NMv%Ozc%yL2eg0FY|l3ieNG+dnS?1m)g@3UWz@*vLP9>|qbTjVO~1q*pw_jNP8 zk)d*bW!f!oSZ7qObRXu6yfkWDv%fF;?G3C>Yte{!nMUMO>Btsys5;-kfQOOhC;2f9 zY@V>=VQVD|EA(bf*lo-}#inmzI~934g~wld`*!XT(tr9U!_-c$O>G0Z*&;Noy84AkXw-s_91uQjaaja|rs~E4)qw+Kr=P zWUHNIpQaO1E$-P!cT(}FGR5s@tP6gam$d{II+6Ly%g@i$E-rM&g{SKz#9}=WdFA6Z zk(I8{ZoVTe?8Y0<@tq6iEcU?CN%!wxpF_j_`kf2z@Ag8{gTP4^Kj@_HyO>UsIXRYz zE3Eu;aH2u0`qP#G85WA~`WoC)XCSEmdfIetHZpZL=nbF8hU#Zsg%b&WXfAvD*6Wf# zJZU?F#B&1BwmN~eODF`zDVdv{h6Z8lM$KnAFTzk~a#pRjI20G_PsJP`6#?Z#K5K_; zjwIsEFg%-ZAinBgJl+<6toe8*fzUgK{mYFvU%%-<^i5I7ytAObz}H<;aPCY{$BqgL zQeT&yaI+t*FY)!gRFw4{^?5PXiO}^p5&30jxad32ogd=@gZUwjOE$TZepUU!tQ)Sg z+%W#pB||@^2QHPIDV_4e6XPCeu&+9J6LFpozRN3RC!O#m`hI*7DfX#z!c01$C!`@u zsgu>(NXMK7Z}n1g=(x7*@mJ{(2E1qNq6$efq5HJ0?2bMYb{o&Ds=r}jZMMUP9Y>hx z*T1zi(bpg5UmiZ)b-)kd@AOsk>Nx1Q_p-38${^g!Xe@NxY}(*DADg93CpO6 z*B-4A809Zs8@e={sIw;!@m&H640`<5&idCG??wHJmmc;}u&sG?Lz0*yp~vRc2MJ%H z%L~Fb)Wta>>g?(v_ij0&^7PaJ>U=6$C!RES^vku5P6+78=pEbR1oa2+8PA5eVCf0V zqSi~~H@`mR2zIng zg_RhU?2q8<`>1$Z&d$5p+jXO>E+bc^SW%bZRt^Y*uu-7{MujriM)(IdT(Z~Z0z7*hQU(( ziw6SXw@bU{NL4V-v`=1hP9_Z0X05Ju>oqQTthrEt$A z8vEO19hdEk#4AOG8S2_8#JM~PAC1509L)^>A6w7EL|9@=$2t-BrxWT-!*#O^cyZGe zbLsPXgX1~GT_~7G>LUFqBF3^0o3=Yc$ z*RE(i;QVoDmIt1_mYw^g(~a;o@kaLh&QD9<^YmYomawzWe6d?PJ-c7p3j?hNiks!> zL_FjRwaBKaLB$L*&f>PLXmGp8LiO|+KTat#u#pwtnfjfLozkyMIFp&sV1HOx-|Yu$ z*G@~LJ4`}<w0`1$GZa!{r+phNI5o#Y>n`m@rAoq;YiwwyNx0zBMxj%Fp(1 zaNZFM_s~R_1C%ICx9c16!aEgo=9qEOlajHu&o#{=IpY8Oc)tt%bf|xcGpt++Jm1?m z6FMAcSRWVb`r_}5J;i;qq#B)Z#$)o@lcFv}9^3_8vlhq5K5@Za`$U_GCUmeOK z<17`EgP-1AV}a^f*!BIDAC5RRjq|<7M)Gwt6ZcYoL{0N^9?pxijl--KD3=Dn{>SE2 zpDGRtzG`sWCI{k)f=toOO~FK57((2ST!aKMR^9gxN9^3=vW8Q_G0aZXrm8jy=I1v) zvfmj&{QOuPZeRZWtyUZi+APY`#bdDR`l92P7p7xWYv=2jnaSinAkc69vmXU{ijHxw z9*O3;!0r7!U6i;Gx=k0Pd{atYD(Xts2L-xnj#aVBIzwI@wQR?M!#CZCe1khi=yyci zOz^-iuh+qvY!4!?@j_Ea7jt`pCo(!hi}g}{u>#=|4@#-(nSGf>6VqaXu}C zgKa-w4BN0M1nxc(Il)OmIA0sI#*xXz!ac`&Rwwb!Q@?a`;Y1!N0t)`~7gRY#VAFV) zH>)*cAihZ%W$U8wXxr|~n|Yg%U*1x+#Y^K6O)*+G|9uRR*H1@va_*{wN-3Bneoc1R z$;f~D{ANGwlSpXc)q@-_JWYJ)3YX3CwY@{#5UX|kg~B^mLTB%W6c=-OoqRV!r|XX5 z=`^9jXmhn9XEY^ zaa*YS#LN-Ca4CM4J@Ww#F>=OnsN-LLA zOT_9ikwsfS#Nn!|_{E;_8F*gmJ5=FXG7)$D^VakIp&9+_^xet4)YSb8TdqgClXbuw zDiq_+YlGt{*l+pgOix08?};*hqoDN~Ubwk2CevHlo5&M+L-C}0>7nhu@OQmBEF{DS z`Z7Ns+DxG1esZtBZJjUnzTfwuXg`DK_u!3p(P!_AH<=iFt?+(YJ_C}ns{QS@>_MI1 z2r)5yL~BF;VhG;C;OS;{FT7lFJ;k z)?EQmJKxl))yDzAUacJJi3t1{KW)|8=17#7+~95<6NRM6wn}P2 zEJD>wn9|f3?9unWGM<%4^fe_Re@FGRTcQbA@3GaODmw$IJI&if@27(A`x5ovKEESd zkE}?j^&so_KSq>Ybo}7~$wQmhJ?r*BNzM&*wwosw)wFQ1&J(_AyDPF4y>M^r<(W4_ zc>4KYdR=eqow{^E*bI6Vr>%fcEX| z$+fQ;&>a&r9*BFQk|7@I99+l>j zrs;JMPCha$IBFAwRP$;2Hddj?+om>BdmtF8QDs@P#&U^1eJ*T9p7YXq$wg>w)9A;% zbMwx~`q@aHp)P1zcQTlrNH2ahFU{&9n+ zkIItJIwWCT)x;#!KY4UG{aPlWe@nsnvG@G<-TCi}&+FwQnid9nk$uKaHgO}QcJb;! zG}YsK^SqEi<=8rX@gn=yCRp|^eO&2H)H8hWxc61$u}UA*$~}Br=;}+G0pPb8Syb=dqno^VJ)cRxO7P~KZHU<*)EDq5R5R4A$!fw|s zfv8;7R#18?7_S4H2F}R_Vb`fK;x9i0;qbU75p&&OtP!!lRB|vBUGfb_?n;K@lw`}J zq6K02VfLeLuNW7PW=fa8eaL(M%b$gdO7HJ(TX%%R%Q(54y)}%iUkc9887K1sm2IQQ zbvr;pZqb`#(L|j!j*QRzZZv9Ttx85sn~?M|q!9JpWITK16B)958JgQ;18L>yME(5# zeg9srt2}xAG#{LuJ4K16<^z5ojt{P8bpHHl~P#oIUl?(-6j z)}08%>(M3dVwoJQuC2H+YJ4y_H+`jN6b52IWTN*mt6)N(7(}dFfkZ!OFhVEm6}BXY z;8p+fHpj3KgpHi=d~!+{HXczw@vS@*duH!j+(-$>-q1IrhuelhVabl3uB>n(KNt?Z zZlyib>cinQqA={^Xszzd9KkiY~|HwGSp&M5f??udn>Bx1s;n>-j^?x)`_bzIbNY-%KAt z!|D(_6NSk%ym@!C`nUoOllp6)>R8iY^{Qf6Z4$3f^_M^Mpgvx34!UjYl#`H5N9NoI znYjbJIzrpI$j8Ei`NvET?#<8&Ufus!eUb%(57TU(t>fwS2z>{?-oe6awG}S|CH=vV zXL#qKU;Z=!M0^-PoW}#9I_%x8+2tIZ9Cf=ZOO`h;fB7N>;mhGt?-NZS*t0pE-uyn8 z(4~cvD}xrJhOw%q;c!d$}lC=3A=2hv+sg`wTZjeEf*9Q=NxaLBnl z+jdkWg6QK5N8JmX-M5ZJpeod&?@)g@roT^5{m6*KmJQE888IT@m0J7q%&sUX>F*7D zsTzqF*7EB!q+)O?_SpPuV$s+mB2!)G6$|Ery_4tK#KZsfn=%x|W1IWvT{iV8aOjKP z$BjxwVad+SJsZ-nbKr`~>5(fy>5ti!z99oWKQi7;KK)-`&nMRO9vt(ThJ-I)FVcR} z$T-QI6>e4_MF(FOLPrjL*g|P89brj_C%-yF$A)VcsmkqivR)A2eoZtrn}Mni7B$%| z46K@35VP8diJYGE6ZX|Ji9Tl*MsJHbF`|NnOY}1XE@xN>tQj!<$~*tW-dp2HXZYcK zvH8$au0Jf6J}S>#*cO48(GUMs}m%-n3lHl1ild=L+ty(At#U4nBu z@5K^vZ#-zj_T+GfB$N45!FWI4sIxTg?lSQE;ZljbjNgBHelNDkwtg~#fyu&GvVZdG zcLKf5clNq~rkM;#kE^;CO=A#w9|l?PyUl`0+;2>bpLp3hMVJNCbJqPs zQa52i11^a@#inFn1D3^;{Bw zGx-4p(@-Bfy-Ygi$c8sr$E)F8+>6WTXi##@j5Z8fA)(>NaCfBoE!!WvmGBEWO z7jrJrh8=ebgR@<{_|)n!a-It2Ex-RK0+X6wINqs>z;%hP8*d#V30-(3gm3;V*gQN6 zu4lHH7fpyF=dWO2uFz|1?O78Ijf|W1YT;41qMTnm<5Ub8mkGw3@2fUA-rZH&17~yM zafSKlXxzC3ay$j|Jn3EAS+D)+7|ofRv2Mi*;(l31;V}f5-WMX%) zmlk&k6W2b0H`3MFPu9S#cx zQGe&k2*T$of*jYzZw1<2KO@NXcd7e~uBr2*hxcEhJ7#7{(xFc3Gp( zwOCxuv#--piY4sfu#G~+>)h)ZXkt-2mXEkR6*WfZ5GpLwhN264_TxR_VxZI z@jEA2WL@vu`M|Nd>O8%qaGaH?7aP|%Y%W`Qhz*ZvlCge2*x1rE|K~=IA6kP)^`Fcb zT!(Ehif5fy_s8T*b@9)l0#G~CrlL(XfasIv5dNSXvcAvv!wJL|za86l4hhC|{l%21 z$-&5Lta6pD2!V_GGxmoaA&@S*u-9}tm(U$>kt=+0qtmi5(1I3@&)OJ9^aqBcMpD?m zZ)i9U-(IdfftRNi=tTH=)d<3uArg)@PiL<<8cELA_76LDY9vHq^_|%T7JX6Vy33C% zqRBkin;?_)9LvUGsfj~FZ&_?mknD4x_QOy2jhJH0mn z4|-}(tvww_*17h-*KVD$B@sT3b!n`tNw}o@V3oW_8f2WhcNKLd6Y<_sqE536PqVx` z&u}uJt}%XQUDf|tALIM_F(GZ@INovg;QCA5Pd&b-fw#ZPQUaFd4$jxj7V}k3E@Pvk z*CTIM0~@-Vr}mgLdHKXt9laL-8;f&c z)YTmD`#3m6eLfJwgCi~+HV(qxI`6`7=D}p1V$q~8Lq1FmA@u(t7&~)BK-BtBOo&Ok zaei4SjKo5_pI+qR=k*_3S3Kt;T|89(Y}NH?K5II$3*j+F?JW@5!xZE;GVnMU#G`Ln`EYzC182etrfERCj1K`b9;{JWVC#&Ji$1r4XIJc@lCmeYZ z)T>jg!tv_zq0Ksa5s)8s>F`)H4*5`y{5@7EcezkFR; zG_emwqj0&DfHYY&14~2!b{-~G?5fK&^ z+ya6}0qs@rT<|FPzKF~pC{^hx`aH1dA72JSS|f$Deu@YQiAnzPipU)P_y2h9Q|hoW ze>{o^XQ%W3zJL@fJ5fmVj~7IRe*QaOqbz^@O(7YfQM`YJeC^m#OqQRPF_#;`;)K$p z*pWh`dGGYcPZ1KDA~Zx;SeW-a{Q43+{_*6GxBY{+I_h5(P5TEg_SdB$(6o;K@SOU` z@2 zMUP}h2?_nd8UEugVR1s(p^+SJsL-%KUjMga$^U=B_k@J*iSzyd?~8atp`e`q{kZ^B zEO_kyw&X~NI)9to{FTP`-+mUp zxrQ;3EOmg@w}@)p3ZB{U@2|hq75J2vtzj=~g7|HBRP$}EiRMBNvIz8-`mlfF4@)45*%=3+leY-F2FJq}hkS?DDPHB=_n-2N-`8nov2)6Z)+`8nlvs zLv{ab!+k!w=0Fa62_bF-X+F+3Uoaz0A6)Ll-y5=zLKGLh(CxB+eeEp!-}C!VGT>78 zExjdVwP7N0usd$e5)v-3VTbxq>oJBzQghG*k#DBx2=yKB?QXEVAZYsjlYHF2?XSr< zn_f)B*-HrXe|=0*-*aUa+mL|07-MFrPeSh(OJY9Tpi3dWa@$@i3EdPlpZ;wxXvHy0z zp6|FT0X}w%kYU@hRlRyK1Tcb4xjo-BjPy`$Q(C>+-VppIQWK)N-xRufW`+$*>=E&F z0(DQKJptQw#+u?eD(~dI$!5jB-39#@{lMi7F9&AJEkagU*{PyeixAWEc~aIm9gMEn zviQ&uT|61zc<_aq5&DZ+UEEqj1nwPoVxyM@1g2erW^%shnP;-qHtAK!1~+<|{yr%MB&;omKrEfMJy5a^G zulUki93Rv>M?A3`_B-G5KXn5w-DH#)F1rZMdL#9pzU0Am+su2@Ch^W$x2Fi%b?V?& z;8V@K6a&Jn)_^c0G{sD@4CRVBrubBJysU4S4P+uNE)WT|2EX~wnP}Q~K=O!nRwd=0 zB)pApYV{kc`~Q8sLu5U-c`U;DJ9nvT7ca)F&3@Cyg)c$w&45J7NF74lqYvRX(-mwc z8IVxMuL}e9J*-U#5wAJ;Vklc|RF1#q?`uQO-@+OxrE)kBFep#L{FX+%-*3q3|F7{b zo!^Nq2N%ItRoU#i$ztqU<77Q*#1bUbKWwS4(ILz(^|4MX=DF5B0|KUJOqeg3;MY`R?{*US7=H&eM~zbO`}L)`fDb_BDk@J?vDk*S}G0 zK;}i|MkZVcIcAKSwO0C?>87Mv?z?%P3howK6U}UPBz%z{uT#J`({%%1Jnl%qAAI56 zn0(eel@5Vv;y>&2{#}3W%JQ}4rfS+4Qr&+3;5luqaEp^P_tYWBnLi)(iRNy7OxrT{ zQ@^<}AvQH4&93?4U{eBiK4^-2k(>MAQ-T91io^T7y?LhdRq0#SxbaLh`z}A9t>T4S zifVqMyQo;cYU7tD`7~Tiu`J-0GjaEf%l1ac-%#EEuKV(vetb*oO>OKHPJ24nY6G5nXwG9|B>;6uu1YS|ETD9o8Z^}s0$GC#_X*Bx-; z(UDWi9*z+4u=2PPLq+1EoKr&Us1P(Ib94s66-1ngCS5wxVot4CqRGTCz5L9~{@+mD z|JU(8s$okP+O&kskMJRBx@7*7pZ_qx%)=je|*ZH7j6 z0|ARN2cf$47eq~sxisAF zx~R5X&J{jsqua$)nfS{5mbFlZjodKDCaE32p}POo@s6C=JVnz@moN*~MZ-1G{&#YE zM4dv9fV>Psb&o$}UAfm}OzzWsh>sZ*VxGTVm}d&N;)Kv6H!P98^_*`5(}HMzv?t*r z_L9TQw`_DIAb?a7KJb3N(ejxyJ+NQK*RAcaD?DX)9@4d>W3g2BqN~Afg!wg#fKK^C za6kN4Kkwi5&x=2PAUWR_1QZoW81^k>%zix*%E>o-Hz0LI{5aVNF%4M%o z-_*!6*IYFI+x88v7(0%7m)5Xo9B`&1>$!mY_QuUb3+Jz}_X*hW;c( z{qH({|Jl#YH%-!m<+VrgcDM8hlWqfeWbbJ8U>m@+eP(9Bu0g17{a0J-{1_9$WYGjC zELIP9onuazw3(sgp03pXLzX1;UMTwBkQ=Uc;G4$SK-6=Cg{+Vxo~zQ-Er(N}BRy5d zFV&gMpE*8utk1P@$JW<7A~L$YP}tW?YvOv6O_2q&YAR0lc%V94h|>Mh4_ihhi9P3; zXz|U`|Gp5$|7g4g=cbi5v+A5)=tBTuy|RARi1CvQ!Pg5J!mnwmk;4>YJiX!FSlm7c zUFDk>n?bVh@tv>(=4fEe-geo{k}xf{0)Jl^gz5_F9DHctAY4RXihIhvWxIc(E2Jx* z%>1;-lV}?DhEJ;dHG_@bC_R2F@yAdmCJRZYElKji<7@S=rRx2V5V7{UI1kDfz1C=t zRo?G@gMS=%0SucDxiui+t9vCK0_Xk_@{G9yo#{gdchPT=qRRMb)*4lR2>2#XPz z@;zvC>vMeUi@I=|#9a}-gxM^cFg5bVP_OWDy*!w}+pLN6a@9gesM|k&-oNYf-WAtR z*-baZGSBi06()v+nTa6@U6s%rnrYZJ2-RI+^*Pk)lL=;sYHNq?9Gu5b7i%ltJ!CQ??6)D~Y+LQk1uQ*#0;1`FNs8|CWR+#uj+ot&=KA`VgCRR0(AYv`GqxYTGKa@YpdaaM<-3PzS>Vn~a{LRi8Ke=$=#9ZHg?C%3v{l|5SZ*pM-!MuHVxNh4@ z?ZJI`)ckWB-`Nd9b+7uJOYn6!!%B5gqmv)aNjMn)Tx5k8lJdzx;WmVMF%Jgz%ly_as~)~>TAXJhCBCveI=&)^G*+LHIep{$W9^t5$@mgf$6W-F`A?dt%2vX`fl@y!Bf`vT$e(4QV%~ zja5_gC3I*^66z%|vp!JYAD8dJGl#h$_DXyagMh$>5~j)Fm~l{MN14=L2g3M|^Yp zlAlMjBl+2Gn;rO_Gcy(b&Ikg zZWG3xdD0&ht4vSN>0m-8J+3dlBowck51GDt%0=gkJ?YWZzb;f)Fy0~i59O$HO))Gn ze^X(ODGr=na$)jBGiX^JP5T~dhNTjrvU$#f&}5|{d%bS2wIuT(AD-Rb_vDr}32Pj- z>Fgw)c$6>|;l*2fV^yd2*%5gbN5VwPfmlDNFn^(}sv1Zo*K7X!4?=YhFF2H6QtJ-2 z7YsG&GahIQ-hNXz#uowzm;eeRfa(S*(ys{(@q@(KbDTT#*#xB5kAO@Cf`4DL&^Axv z?h!GbY3(m)K_mfB`13*-1>^beJ@QTI%^)+p`*CxT8CiEaebQJtB;TCehXru^rsWqJ zx_c~1*dO0?#|DZ&YuCRTutnmmwr{H_gHT-oboCK+w^-AD3QoQGY_s@~BQ9JCUdhTB z9ABGJQGr4k&N#XI(>gCxS2*0FOudojN}8ez%2Vt?v3DR5wMb?ESLOVThY)GUbh4Bzl%y z`x0^fueY8H;JVQ%x9>}yHwV8z!vdw|1`|f?w7?3rvsC|3O9m4H}sw;e$RICBFwnF5gN}}uvW?!iu>HfzkH;Fe?Fwcq*7Sq)LNbi+%MBZ zCZR(PK(@@#gayO>kVDxL+OjzSm8Sxqtlb)d`lX`tRBrlV%Bm~$&JTl7-CHNOijCIc z{AK#b`0=a-VNPj*dFB)LFui#7#9t6{ON5MG@z_Uy5URT;xKHMzstq>GRDU%74sU%< zk$UuYq&*3RTOpl)y*7b@pLxN%KgUrB=m!;N_TBL`?sO#kb@=cACtRGLTinwf>VEyqQ87B~0n5mWj*SN1s2exy@$(LEd~?pJ8s$sF#;-+d z9p>`l?_cmL1_@6Vm_3dtj%dEz$wK$>rHf4{JhMNIA1}=sIQaZ>u)M2HzwrfHcQ^ zI(sRL5fV-4-~RmTIo~|iij14TIklCVU$Mf43?t331+Z+ssb>t) z7yRdg>I(Mj86h%jio&fSSdRsI?1Bf*_aipiU`%+d`Kc#1M7`3EFrl}@5bL}hl*JBY z-oqsA%s0jg3cf8mId}hUM>tNVJ~-IzNJ7E*@sAT>Ht7VuIjRdT%(H0Eqq>p0P=P*7 z!a-&DaDNdE-~PuE+~Os7+JPakEgkjd8j7V0$PIiZ2UU z_#y}ohrV27*ce6B$6_JYJkz;C^3Ma+6^ye0uFKCq*di_ZXMA*_EezfV>nVM)#f5j~ zb%|wmWWGb758<0%J7D=KW%G-^6l`>^Rvv!A5px*JvOL@z;k>$fR8+ka?tkpfNfzP7 zTg197fZW^P9ICnWqZ$>$p1Pw~kUUJsgyzu$+ z9jmiv>4cdgjes>X$h`LI;sUGSnJg^)nUynauO9)8WaEO*J>{^89N50z)Vk%9Ke+q# z!cNmeas2B_+r&#j&{}?UgRDdtX;RLINC%VSEHEuCJvJd!JN#cCsw)_0KD5VZyDa_tsMz-WGW=GRVIDmIFb3S z=;_CdT~uAren_+W^-LEM0>?LVcEh{Y<{wi=dO*{4qK)!&PZI7H%%NvDm=8jA`Tdzb zMBkn-%+`bETf30a_;h@&_x>hR&Uc?=I z;M?Yha;efI5y$D=kqSoqV1a;MCcsCNyx;m%k>u+3%I1I{F;!?={u!)X7U6y zN^m{@RUhLczP?JC;DD_GJGY!r;+<=S!;X4|I)Golav=KN9dLl+8~nza0>L>+&`O_N4Ms(oS-sJzC>QkiG(EcP3Q-qx^v{NpKDBXhLrd)`B%c8iRL2qN?3QXev@RNE?@so?Y^`F4dE!iDHlKNMmqsJa(FG>!ie;m# z!WOa-Y=dEQoY=_9syr=T=!bzV1|!lF{P82>NBgMj*BOB$O+iCeAnw)x&N_g`2W;>AXtBC zM;D4F4W%I8Wt5zY1%-f*QLwf8vS#o}3TjgGmQ@-#k~+TgAwPtC1E}~oV{)Q` zTeSY*T^`hN=iSh0YA!g`xXf82#0Aoa=Z2(zcEua%59W>%ZX{fnZ~p25UGMaIIrYpOY`RsW*$4CiEQz_q*wsP1h-s zxWR;5dC!7g9z1H_LG5u~PApVSYnKY##>7a`PLIZKEJ7E-1|Jg3Ce74!YforRSLMMi zB1cYl_{c%O-74LIqCm9VE^;nt2qxhohRGpgL?4Ed`Lcueiq$5UhY=9aXyQ6VlTZ<3 z@iVvQTc<$SGIx)@d=e}!Ji1mm=YM{@`4BZHOo-KdkTKDTjH3jw`mHyUUOgUg!m$VA z?`4}iW8}QZ{rfLFW3`5zhH$zIlFZD)Vz0Xp5Fa<3OANZYa*`XMaW{I$G7rpM*d#$6 z=}zc8ys=tetT*<8I|O>|XS;lSoyEKmMf2lKHKdbz0@;lC7g<*s7$ZNTvido%->&;( ztCTAXIcv8peZ{Lkz5nnjwOP>*b8^PDEu6|k`Qyoq{2o8Z`}LSbHZoBq%JcGH?T><7 z=ZVGkYy!H(gVFr*zw^V&Q)iVe9Ro>Nr|g%D!=F-kFh(DCh!oER-{Z>srk<8iluiG< zmhBu4<4>n&rSA?yrqqxD)qp4x+ILCLdaNuvhJ*2gHn*8Z&O{y38531&zZ=#&6DI7=cvP9<_A}N6*@l~I zrEj@_GPml$?X82*WWJ8W9W4WKJ>Q%LVSs!e3@<`A?1c?iN0>28yioLG=XmoYKA4#A z=Ce?P2I^%slL03>3XUffc{1s^XDFE-agBlbr5^|O*f5AbEfz7am=Hi`_;DW(g31pH28L3_^8<9tAUN&Ih0;Mozf)GKYi>m1eA(>U|&> z8nZqq9k&R9*P)#%O}Dui`sCpVlaO%yJb2GQQYjn)(|Q3E>iaJ^b1Y%bABR`_mdmf2 z6N8TQRD;i-({QTKNIz0083JhMe>5)t-LJe&D7+bd%YKXroA47u#S3PnSTG62g0Y`isP>H!0NZQ6Q4ikLI3vFaohKL zqFpJe!@R^7l>DtP58mngFJN}Ib}8rJt}gB-%=S^ zEmGMv{R|u3bFMlb{lFyik^5R3nTsc}NtlHImMnlb9!_VlbawORuUG!sbyWdGzn?z= z`wfD)u*kY6G!6j~4IyBZK`3mx{AiLF7YPg2o_)>bBG6;p+eW!T*p~qAC6}wQcgV;X za-RE!zZ4$V5l8G-2~d<;;6D2b4?eLuP}6lyIzsyC^b(a6C?E1!J7n|!JCyG~dp}5h zbnuC(8HDQ!_E%+@C7ts)ZX~>3Fkh*-=&*_DPCzbrbwZ+_)k>kj{J{}VT+38>ZF9$q z&O#bk>5~EpT~ZJj3)31lIR%rju*c)ls@5#yLSg(R_ux)03H=hl z&;|38@2fWmdlJAT>d)IQN@+{L@YS}CW3R`7aiCuEf3fIxa72?+@V1Sv{U!5KvbQOB->UBQOEFe+k0ajXL8=bn4-Ik)^B?dGF(B_yoxU|N4J^Z#Do6kKc; z9Y>~MajlRA{~pq+S%UfviUL>`;1M5oDhA?YA~p083e`&5KxK$eJ>x zH7!;MVy7!B9S)K9nqSA793q0}RhbJa>qHO}w*5x1u^7sC9xkzNBj=4d7=|vN7y~(l zE4CJlkwHMmY3?`MbWmNzqFt41qhsm$gjD^jfDz?+YP|spxGJ1B<3o%R>5ZJP@ODM{ zksT_)?KOsQ76%qbIvz-d{qFoB!kQFhAIY#jWOH#xqb%sQC&Xb>+guu2^v~+?A6=j6 zWT(Cyu7e`4TISL?w=x2RGtFDd-bcV(?*4l2l-ck-Ys!t9?Xv+xTHB4*D}G)RN%xP3 zkIvg-M?O5~z*Ucv z?X5Pk!TxB}@N>~Rs4lh6mV~S(IxjGP&4Zu=r&1243DJHi0yr(Zch$8)43Bt~;sYuX z46C)YHa3!g_q{Ui8`2-HO-r5lKn&VHNdo!igGS8gBmrvwX&LMpP_?5y zQwHImQ$DH&%Au6E`|B1f5`KPotRmo<97ulsi6<9Hn4>n%OTsrDD)%S~bnwQQhuzQb z`dLA@&(yqF6~OsVHi`rB;ChY6&#y?N`)Aa+_gr{!cKf#jd#8e^&b)H<-MMh2UKCib z$O6dSZ`pfy1`QqiNBaA{?~f0>_x*rwk+lB2k1elsejXnl_SNm$~T6b%^ac{YgQUYEo|&@>io8hi0czJd++)}$CEK4k+1L1fb~ z`-Tk}OVSr|fr1V5z&oy{^XYOP^m0rwZ5}It>&}n*B-im_$xfs9clQgS;=cXGdbSYK zMoO}7c8GyvbNbeJEEmDfW2}_%eMz|a+Fv$}&KJ|ru;6m_aOV>-a3|8m;H%SO7!WxB zNv2!^6vS8xqXu~u87QUjWO38+pcFY27_S|rNBUC~99RKA=4_nwX__3SIudh( z$>MFjF#lhVx9nV!4Gyn$_Sie=e3{i?78|#NOz?Jr4cUZuiJWnPY z%?4`!UN#zUCjB4nJ~bQ^ALY<+^Ym+Xt>2cD@hN1#tJ^w_I(d`_{95;q=OX!#d)S{@ z&lNz`XQM~cz81iTXTtfZkA!e`!ZO9?%|dXwYLVzQPE14M=8mu_Trf`pD}H{Qo?8$D zb%tp@DvnE`w5Fw)eO7|z6H8%T&Wro;7BYA|>CLTx=P_XTQ_aEVt~w}dv4_WTdnY*! zfjhLzbJ}te#!Aiej)Q5zL49s7Q2-SeR6<;oWpeeQIH0&9N(k>alUJIf0zD^LpLP9I z@Xj{((w-+eX!5Rm*`MAHON58YEuk|;#Dja`;tsn5bx_^ThCv3Sa+BzG`+mg+xBHt? zK*3)q?_ZRT>W3`wt8p-kvQ2|A0d4Ptihe&-7u$11&w(|+5V~=>dUbbO#DfbV_U{>K0NQ|m*; za3IU7?fnrF)~V#^yJ{LZBiOCi{YGkwvNI5LgkQgMjBdS zDu>>FZqo659i;R4;h4JhM-_0UU;nm)1L9~%<62^q`K&8(^teS}fssW@k`npzDm2er z1=Ktw75zGf>h1~cWw4W@0@eE)M$UH=z{P#{ZTIg~kTHs2$M#MHkudW_b7efR=Z#o7 zU}zFNu_#VDwLJ;NUFSgZl8@uxElPugit07D_0vG;aw4aaAfn5 zCMLc~T<{#m7+k%b3l}ac%%uHzu<>n|Ud$CdxaONszU%=HGP0!O_bK>r@AmhdDqr(K zxtf`S z=-bUvN6C8nX{V^@bUD0!n^Vmt?G;0l3u{cCk8sl2E1n<7_I|ardSE;_#bvwpwpPKZ z?Ms{6TI1>dR#AMpdWnAmf`4k$a zondjW?pS->c*w?u>1C#alELth-wDCybeKKbtf}jfc__Y=N{<_1yZtSh%QU#I7*9g2 z%f@wG?8AkZe(bbsE4i>Cri-`DJ}zW9`V_a;a)H`^nFsMLRxL>!9(-`Kp4RaU5BlHQ z`eNyAvftG9>`V_eADX(18@{f94{lX^LTZBqFynkEqidLe?k{`1^~xZc1@MD)sIA?1 zBD79g1P$Db6k($ngb7Ux`(%jWTE~RF$(|A@nch;JUK<1J!orpm1xXRCQVR332pe~9 zEGqx85M_2DKWmO0%^xD|SKIz5V7E8N&#gb%z7E?sGdocM`Q0B)wA`Yg>t8&d_q*HO zg0i+MX?w-6Yigc?3Pv3)$&2R31BP6mJ$gUa)HeZ*f9ar{RQx;v(rcIA73n7e1r=5U zH7{BR)qTh0Px*9X4&eCNz&n?>mHwEF>Z@cLj_zq{cW#AWI;yvDoO~W6bjn-)wMiBT zVw+06cg+Xl%;XxI%HJLjHG5W{@7IX~q6e36M=Qv2+qJ75_I>8Srx)J-ybN-Fv5`1<&(d<%-cd=NRyItNB!HCxN__l{MW1B`EG9h11PT4_p`{ zg|tbwWBq((^m+;pGqJ&jr?JqInl}uZW1;cD_9k_L98yW^U$s$=%D)`07pl`^Cy{Y! z1m8XJ)m_2X9~5X`S_NQ;a)8IGWeJf=_z?U{eVm^Xts7L)uxj z7ou#YB9C0pc&(f5?Jg3~pS8?SzfOwg8%V*U{#IFepIEd{oeTz)c8goDFNcAmpVD`@ z%c0|nhs4TiIkW{x%8U#Z@YZ6y(V|5Pw60fy_A82mmF~$3m=p(i92wWo*Up}-Y0Fju zh9gsOcU`;7*$~n5?!1v39RRRswtsMDa>~KRhinFU}zX?Ni+dn#br^mBI zI9U2&q;p6>IXPb9Be?CjRR(N(1gQP8z{gCXBq#cq2khDi~Ad(J9lHgwL;e@0! zl7o;Oj3h?U4n=7fBwdjlhNK&k!;u_;bs94+I7;r zqVJ$dqyB$7_G)5(ranhqOAy^G35`pj&m=zo#$hsE^Mm?CSHgt+M@0GaR2(jUm}hKk z99JY`sd!55k5i6?HSzauQF9X}WRI3XevJWno8-0eGLcHD^$IjSc+CY|R+7?MDUxw` z)-FR_T%3mtCI7643>l^UGa)ttvg7LD_v&8)wZz1r+T-cSg6 zU8CWMNJ=Th|5_<#T5qW&pZr?#m_dm@vr05tp;bZCWQET6YWmAz3WQsCLh3x zsC}^1l6b5={kgmT078>#=7gY-$GD>0u>h=oj~O;DE!8qe`ntOH~jWr zhs@N!YFz%<+BcNU&JBaZFa7l|3V!{I#|WZ>w!R;tsqcflyuE_F{5`#>`hGasN@%KF zE=$Ey@>IHtpDU8`WJ*!2j4;x?PZeLPEyINs%e&}A)8J?h9Hhf(9Hhf(9Hhf(fgV1i zKL1hwZ_`)oUj=(lo;ZQHjzeJNbwh*Vdoh^UP#BVvR3lC>nAlnv(r9FZ3??=iriy$l zGh}=WCbm(1jzo%|g2BY5s;`tt@v|_P*kYMH@?!i*3?|M5CXc)tKN*9Gjj}zPClJY^ zG(U?UlflF$YD6~J+PCl%Gnm+1+w&4x9F_LX2$R3f4l0xW%l`kPJAG-tvXVb_r*G(R z>!B`xqE6p*vhd9`9h&?guYudwQyC=49GhTC*_=F;g=#5`Lv` zKhraN+V3Qdp9STrG?!d#E#0Zv3aF^1z7uKKewK|2{y0#Pr~ZB*FG=-1XQn26Kj7q? zKOOv0NU;1~Mj)`d&L7Ya_zAp}e}wShxP;|_5plt5A`_AWLt~=j6M~}?2wV~-gdftG z5{N7W;x`%sftrevescMh6Zm%fEi3t8&T2}aG)hBY_`x+UI4m+T{(sD+^JJ{(X-^+B zR%1#l6fP_T)_K`h1t$fDg-67NhZ8s{!u*ow&&jdmr(CR}^L?Ws&{1krG#MQew~D~? zy}$FE2?SznB&!vHQba>(;(L{Z$guFh_~iJ6@EBzzc)S4g(CK!Hz=iqRr!Z8>3?X*!qLpbH|Dwb{dRp*9A_B$ye@Hu*Ju>ac2AJ-AM6rSAuVIbbWk%6B46x;1*3%|Pi zcQw#_@BeB8v5L$a?hnJl+04o6yFurTIsdnc@>gZWV0(Fa{JhS8SmmJ*g-S{Dh2N9F z{Qv(S^+y>&b@8~!uWRWEi&ZES1|>E8Ed8sj^~1o~n>;3d*o*%+_WDsakIx_JuNhD$ zzYkXe;ZNiz5OCI08_MMq&a&oCi!RX8QPVHtYxm(D3F`7uEffKoD_ z=)ccGRJ1?I1gcf*e;9>8&p%&IMawjwQ4;MuKjnGmlw>yM#_&g`DiS|5o&TfouN!vr zq7n#OkGKs=|6yt*&XcHVsHlETiNEq+7X5YpEB{5O;hi`7pSv;rb_$*6P9V&t{D82@ z&%XEkApcmhi$N7@)>?zs&mGkMR83|9m7ZM2Hjr1G(FJS-R^vC+YFzxW2 z%OB~#_&ELv{TCmnKcWBP58d%W4f(8~eu%Lkj4J>Hj z@27!z-^MS8Z;0*>_v)`_WY&s#KQj%1gP<|*lW@1PwsN;}wy+BP?vv1^cw6Ru5@Ep! z!SUehJ zqhII3KOHc?&O_j*L-;2@Ptz+A*6y~hlwFZ|cglS8KhrPA{gnA+kMH8!|~se ze-$s}3mW*B)xh|`H*vDi2a+lSA?S&A8|h!RBMX8rXy7**VBjE_PF*#*wr%!XpQ#Tu z7EOICtX|XjYm@3XH5U#SH1MyZfu0>wlOycaFgmxdLW;2-&KK9MTz%0r5{M-W z`2N>1<$|QY(ZK$V?`(y{PQcQ%eY%q0j^it4v-Ugb`$4LYC#tTn8YJef?Ah*=iNCpI z;c!6%zk3ZFUlkiI6%hxg8m1m_^~Yj4Gf|)ac@Z$z+%D60FF@+Jee{A4_u{TZhQQ*) z?F;kw@7|&d0?un7MfbHwvrIa!tn%O`u1G*`>5M{G!4+_41DCq=wP` zS-pOxOZ*;8<-L05^a~MKIXPk}%6kB}-4dy6aTi*^_wU-e|GC21Qnfj>=Bxm(J(p=N zU-p5+_l1h%HYUR7x(^xD*F8~T`F7bgVY%3qvU2R+9zSd|^>53+xEjSqZ51n7;~*&} zV{SuH>caZ_KNmv3%bvevO3V=#3;-=F^RLl7Ti_mD#<=v{Vz?3@QLmn}6`9^#SQYl% z0!^ZKYz^MxhG%C?(mA?gfl4zd^m9cDp1kv_yxb%c_JkeFw#|%O!1wRc%Kv#nMf6<% z&|DS;*K@XHeOtQ*_}n804-k{_QSiIxK1jl?RPk%Qi`SrA{7|1t{0g*T9yG9355xO0 zYC&D4W?=Hl%8lVpIMf#!)o8b;0>8rCC9COm3+t2rJShFHdi;XQe+!+-O003B{;b^S z3VKF+7mufRJD&o~HXzZD3ByoPui7Y<>}bXalf>w9hJUSsmO zOu-1dBpObU&IDn=X16#k)+nqkS6X+!ZTSMee^=K2&k^Ry3bn_k`Juo-9i;cDF$%SB zd!H=6>kJNLvyW6B;UJL9)3r}24i5#*&GGII0!JUYgo_`Qz<%7Qgle59GRr!i`rPV= zCoeZ_U!SrJh_^U*yx(t#PiDL8hF95w>$&{X@r^PI>y!T+Nc}E)>gRLx+u`tKU?Uqh zNc?nE>;k@j7gqoG z7b0w%UJkpX4-&U`E!i&ZiTOHXD~_0l;yQH+YOzzH@N7Jc?v$JeY~p59N{kPL=%so3 z*VlWZ%;EcO{+eN6x5n^o^^Fj`_VkrghkP)Ir&&+tKMI3&Q#zL(-FF2cJt1dl6>~V( zI|f27!Eo{O=iZ{Ol?(X(_lMR$wTGgo#_{xFDR_Kq&yKGqmQekQ*X%UcVkBO5W=$!N z0_9z*_et5|n8o>AD%aT_4&JxRi9Z<(`EM01-DqM#a18^0H7OW(MjkAs+v^B-ldt3@ zaazNAhbJ7C)_myd+of+15scSUXYU8D4Z!TQ(%PF#b-~-#(eGHa=K{X}sn-AZZG5$= zTxWqC5luAgzo4u?M4xbwNVi*pI~NN`Ezt zIzh_ALvibyJnK8&UmKmKFxG)*aE))eIfQw>DghOQTf?@o^b5KBh&Ndekj*m zEBrOj3&Yol`8a$w1cRsdy={aWI$NF$4$`s1#_emzJ?<@m(qo6O4vmJv z;@sg&T`yE2B{(Orj--LLp8FynYr0{P`t7_OT>;Qhdqtw5#tmvlVnm%!JELRkdB)*8 zdZ4+XFlVKE5GL_5TB@E1S-|%{1qJ_pjfUU-a?r%q5Dr(l8ivdONUW$YtU2KV{$pPa z3U=wB_N!ZxTyCpCY3RMtkz)oxbIq%2R@w>NPutS;NRVJzSC5ihKoG2uOH~)6@xs7Q z9Y#yTb-^x%sxs*y2`4lznAVO5qJ7F{|E~jv2z@UX1-F~wc=Y}yE?2^lV`r{H#RDs7 z$vSa1>!m6j47$DlV!0yx`)PWiNB>9-WNR+!m{_8M_8$%~MYvmFMTkyckVYu5EAc41 z+nVAOQ{k%KSy#$>csmbzTZ1Qu!?wIaA{svl3>1{t2O6!CtV@hRu>9kWH{P}?a64VU zy-Pg=Wu*!$mTz_g)3_!JRt{P0ZfmPACz_(#gLHf5l|+2_d?c~(g*zTCXQgrT^+prY zw2;Mk07NcNv}3s&0?jeit3GSXFU;TnNHF{xwe>>Wb$qF^HyrWIVP*cL2RC*XE@8am z1)R4CR&#DdT)}tQPQ*?NcIF36-E6SJU8?a^i$(20_PVDzv@S+2((o3)M>-I|+hSTC z?+%;IhI3@Va_4d zyxz0+$bZ5lKO;~ZB88bNBR9H&>lLc{O>>Iqb-e$>9cGP%`TO4pbN`60_~>jS3cN4` zyBZm{k{~xs8gKP(W79{MIed6yhbK(FIhm_DrGu-#6zyxwl!MYW+j@yYPFR<8IL$Z8 z7~MMGJzu@e9h)RQVz}ttfHs@c;B|^Es)?-`Uw?=MG-u+bIuEMgptG07&K6HRe$87q zr@;%3#a)tMd*%+7jXQ_J`AuPJ!;;8idQ&tkQ##8TizmX-TK@xa^wlkziCwe!85Csvq)L+#=T z)>l?AY%I5qpx_K{atV6URPOkRWBBk2bwA90@v492DXWF`$-e>i{+?a%tl(Lt{L&jI zKi`{NUu6MHMp9n*4?E+<)=Sh=-M;8{OYWt}abLWXqs;wvh7G5ixCuE$b|_N93M@w{ z&xNPQL>P9MK;K=efDp9(128_bgE2N%50@Diy*cS`4)7r=-!?-J%|0Jqb5PU_dSbFF zW_n%0ygT~9Lq`uh%AGpSVy?6>fB!wf@h{A~$a#45+OkgaHyhoORpIh@j)U$%JrgI~ zRrNMvC?n$Ix50;}D1H!y6(3h8)&Tm-=&xpFPzM#>b%E?$h8S3}N6dm6#MGNasU z66T=M_p&bKq#bf^Q|+Z!{zyKNTw}l|qK#809J90?_0ju0kJLyzP_hSk>IRloGxevdpD9#vWI$M`Rf2_2LWw#aaxsB?8OHeHnc%G z#jYqUMa;u^A%NC$@zF9<*vvlg$XC`39a3tdsOPMq+Tv65oUb#AiKcUJjy8uSH7Z?8 ziCVCoGdb9JtMvlD{~jRu7vw4S>dU4M0|QXHSv(yz`huKYR_a2XD~uf0CoHM;U18m| zTya?E2`gAb0`im{VY*S_S?m!@xTPrUK}FdA3L{WCfO7UghjXQu5?7cr`2rc*22&@6FAh- zWQS*i51pWHbigWpzvt0wq|s$<>iA5fA!zEB3f``?!1{X6*R~E6{3@GwZ^+<+6`Gz8 zPlQ;&7tg5D9?$@N$3Digdin)?{|jRAZz=N4YcC(Xv``1hp8*Pl zl$siX)IhKzEh#cZ7*kCbEid$UfdjMcH~AfPU?gi5d>gjGLsyLsy|pky+PVRHvaJ#v z?D+ahfx!ulKYh5+ZX*rqu2*hf&9K2qqslwn#oBnUon`&KwXSgCZVX+Gy%bUt*>@e~ zk%QwU5{rzfv>~xo+v912BodZ2f9j5!Bs1904H(>8gd7gA;;OU`Y?8Tf<@gtU%KMfa z2Ojt6VwIVyo|4!c$ulNoa^rhDsLbik5BDZv=dp|Z9d2d|`2JghxNH*RhSx9e>ywSRKtd}W;f)0NK&Bh_L-I^ z+6+}`X=`d6?a`n0_8Gso+Q{Mm;+cM-6IfsCI&>smA2MP$mCb!Lgv#04OnWIIT$}V> zG+u}VR$f#ku4>Xa`GGCUC!YkypzCU9BEXe;v@J4lcso#r$(!^ioD z5*aK>3;6yQ!sOpVRNJd(A9v*GVxZ^%|3!aI7$4o_%I7PCt7!$*YgcH%hH#EVR!cwJ zF*bZHQ_2i`HqX`gexp1G-t{tA*Q18ZPE~uh(|MuJyS&cvH;+ge)dw#L=QzRI6AxZ_ zq9GPubt_+diWy(s&=5F2Er1t0&9@v~uY@;F*S+&yYKa5Mk1K6eUXg+}U2SqaAdL!3SD|X+Qm6d zG6)rw5_+Z&4fhG6J^iNejZ<*5-T_loe788A zVhA6ntsG~ECP`5d*B*#QTA_`WO2poq8nFJ7`aRJG5sd#TxJ}}c9Im4|PRu$zNOmrw zc8%I21J~D$YMN3Jp|~lij^5Y|BfG@=8@>{uC#6|EEzJ^FoZeg9=17vKxM2O!2Km-b`w3V(VfcwNU5s(M zxJYcYDTvb!#g2@JHg4C&tak-e8VY*QrdT@7o*|FnLF@g5VwB)ytyc10TYd;XN;H-} zY>LHXozW3m16*vdab@ls4Nxk4QlPIXw=jSID}eL=AY&GdB;PbI3D)flFbgRJU{bhT z%{FKVmJg>5Ty2fK4pt3?PTscnJ#ivRY0jctq^iNUNkuKN(mbq z5Zj`t1C4sXf3%~;w=Scd;_PH7-UgY$aNi8h!s-3r%y5? zS>eV`5jQ1wGf<%|4Pft7KyS}aOD^}iA?@8KW=01c(CpMS;oS}%l(t&xuKLyr%HAjH zS^7yL&n`3Wmw~KUU+n!gXu=%-52{j<-|T3@+$ z>cPuX_wI*S3E;}znip=^s-e8)iTHrU?znH#x8iuSCT!upLaM9P!*+`)v#bUpVACk1 zP~tyYc(RzPm|IZ4#D}ECKrI~eu{bCwm zEf5iMwU&g<8#S}X-mJsq$p;(uaRP= zHbkFxN6j6RAIa8vUH1hy8{wIf-c<97Y4Xu7?wv9FsX+cfo9&rJ8mQo{rDUn1iE_hz z_RSf(lsM~{b!p)6QR_C=X zF=wrHvDf|?^5K5-$nkC)Xf4Xy?a-+MX9CY$agwoyxyIM!m)~=u8}SB9jJgnP7P-gb zRpf^GbA)fT*MyNfPNH|nQVZ7mn0r3$G6daiN6%mSB(gAn|8GF_JG^FfN=vJOmIZEJ zD$y0=_=W7jYkEud31y$VON~0K))9)r%Q^%7%`k^N(J5D^g?p|t)DQYIp@voeW(_+j zI3IX!x0nniUdhI4o08#m(g(S*=;iU2xVTShOuAnP9hdGz={GLmH=Nvhk6jh}Sho#m z1iWxk4A)iUeZT zQ}N;cQeyW=G7prLeQ20gbATf)vS(-~jX;zBM1Q2IInp(ohE>xkfKJ63uG>~7U_#}^ zv-*n`QjPB2rh3~3xQtE>R=+iYTyg4C54lZ2Fxx6lfIzuV&~2?s>NAD>(vPgnb*iW* zefjB}sy-a6S4zI#&y3l%srxJo4Ho9_zY0yipUMrcKHl14>e%z8|GIGKP12g@k2`YM zH88&2^}Ls>6h3+t{3uyn2fn%tV*P>C@aNiXV}SJA12_(u7~-iCzP+SY8;B^+|J-G% z45nqti`-9kkT`1B)2sIgKt8^Jgiaz1RlQ4l5~~RlzI*$7mzv_TYzFJraY+y{@?4SX zB?v6}rJX@DR`^jXy^GvEOOKHt4&~Mp`wXOCeq=^96 zoo;?Q3+wOS4`lyGl4Nek*R$HKkJXp-;#&Jixcl>X_O~-qc$+6FDDRy(S5SO0@dT4%DV+HOqqL~Ycc>emlQ+eb`>m$$#@*otpUS~2|+<>MDVd1Z5TD+VoM3rNx;K?caJN*;)T2i2dyh}jKR+26z#pMyeQbRq9^5{IhrS# zA9_xSlV$vTpCBfp3%<{`?lIV;k2*5;q8=yh;p0l9z2DljAwEfZSzL%YelbO-TP-T! zl~bzoNw|j`zNcvJagi+C?D9LQ@lhJ67hkf^e`kfQZ}_Mg12pkn^2+|~F}($R|Bq1h z&#zSeQK*ULt_)geJmCBALIRU&rKYyuxHc&T3VajXCw0H+3<8{pRgF5yx~3DyhHdL}eB1g6O1ygKYt#z(*L=Fa~7x%If4AHQw;Qog$d2q0Hsk@nC0Xc%blHAn1 zkk&UA)b&CeRH-H^^cuM^-MqcOU@m zaYkUH|CdEzD?GyQLRohjN2HCEl9b@|`eEkRv^sbicHAf|(n9VV>ksNa*M=Jg3T>?X z^0?c-QFfP`42bvg67J_uk<<>4)GTu|f&FgWJJ@c@K|usDYSE}YNDIU`d^A(VNvVv2 zAR{W2^cf=M(JA7DpYy)mt0?iOTHX$l8#zFBP1$DSRRUO;^yw>`t2o4H5EISM>44z= zPhG>V6QrEDhp}VJw9)^-wg;Ddj8Mj`nB1bKfJDuf{NhiRNN&|)^!Cz6MS(jBTYJ^< zLdCnQ%rs^g+{c|0vso2CA4@sjAwi2GuRN5Sa$Dkl%VR;|C_A;ydEIRrbc4jY5W>DsWX@%Avc zS46uB2yCEO{nr9swS7au9_xLKm34a?29`6{gk z@OHdp<(8;~o5FhX9XuAH+UBkD^^H0hc5vzA=GOxFq?MtnqkXH% z+G)yr^`s>s2W>O?QRqFl$HNe5pc;hD8;?rCo7hy3eKlR==pF-Oi<5@vRouN}$tnpn z%bel9u~z^;Jm4t0-N_2dsiQue3MP==zBNiRLLE-~&(6gJ>*22P>!)3gd?c;UP3~uC zGy-}x!z(Y5_E*S)*;^GK78gb|Gu|l8lP-*-+PNxo)gow0HgG6@YS(rxX|!B+G-K$A1TJ~25jC<`9%G3@UUcY$C)sMB4Y$cbvNhKZYc6_N zGrc_~xxyMV4K}WNP^E_s52k8vf7E~n363|7n=}{JCx0Gh|8Q!$f(5^OzZ4#q52)Lm zEsfht#JU3mG*I4rZ?$GFlD`hOSG>poSZ)4Tb-2V5<7KPV#y_Y+RoM{lOok@BOU?|L ztYe1Ha~tL~&M;u$ogl9GTvd3sj`ePTDKCslH!V3osR3G{_C&Sii~w=gPlBug%NU#Q z5w39K+1N|0C2uuB#~n;|If>vB@z39q`R#G})#oQBj1`c+I_C{bzA+?4Ma~+%{7T|U z^5(iL!UgZIR&G_?s)eift}1*?PXztby8`tyG*N?Ozvk_3S@b{Ed`O6j1e@sTcP%-u zgXdl!SX3QhfGe-Me@Y!zft9&ILaZu=pv`{0NI)MTGe#`WcC`^im6V(9yRQhest2;q zSLmUmmlrv8P#Xxk$-C7RDBGiNQcbJVWueR3NOOCd7Bt=KQSDU~grj~_h1d2_!J|~2 zhZ)a}7Uu7NIFkQsgTyz5k5AMZf!Cuksb*>&R5`twaN5oi$Gb8(HJqrxH`p)9Gf5os zIP+4Ic`R_`%kdX)<_sY-B>^Vd1TgPn9DkrG4YsZ&y(~@=K-rjBh6{5uSVUDl7OU!)C(OxYBg zBbD*i-~pk|2YMLtZsk5wFB^VTwG;WmtqR)&^{#EK)C2y2DWZwcDY6b{`mrwoL|C(R z)oaue0OAqv(_d>faL2yBcEcGWsOtD{w-Oe?)g7AmQaUJciti&2w3=IC)7{ld*~hhT z#eq$V)v+3w$zl1(+eQakpB`3Ap;dvpTUq19`jU8GbJxV?ep=wZaP`QGGpbO@5?i|G zsS%!d`003nD-j|&c#YeeZ9scfrTWwx3AFK1j}P`UN3NN@M&TVQ3;6!8aQlay8FyQb z34fa*t-mJt;M^O1_?R|`{ZVvyY3=e)nH#>4C*)3gOEL+8fA8B8p&Tmc$rk0WXaS@u zUo$b6s|zPe!z}NhHl|dk=tYug@g?qD_2Y z*riUA<~GE`FKs8eZi>P)Lm$5}S#5aGy4CDVmo~U;C_BceYXEHr%ulO6zfNNGt{9)= zlR|wq3E!t7CV1J+*P!T~F1*&V=32%j2-^>Q-S9efm|R+Z;^y>MO_;QpI&$iZCO+@W z)@CSHhtz^ncGBKqvYk~-`SK_ddMB!Jm{Ra)X%lF0=sf}R+(Js8uGYjljR$7AnY!3A zd+B0_uPPdJy&EW(HAR{3?5vTyvXER$E8G-l1N&;J-T9Q&;7M}WszoW&Ea?GkchcahK{6kU+$u>OD#5>fm{sLv6#MC%XW)U@*zhX|l z=q`y*`J@6$KA6G4r1uK1D`M!|@GfrR@)wfcJ{oS>K@Ggny^K$=MHX3}G%W2rDFC-5 zyi=E?QoiGNcIG4(B~JE2$@Jz183h=dskBkN!V6tTkm9BW5iOU1B z@!!}^!b8WLSYl-@P%a|on&dqLEFVZ);*q9}p~{4gEl!fSS^5}F>jhP~nP1Cl`;Zev zRwcF9EEh!4rorlm1zK>e{0{ksfi0Zb62^AMnQCGF{s#d()}0);xLOJ8vpA0C*oZ;i zP%~afqW{L*!}KG za+q=VJ8H`J5pHlylsz6)gk{C)9yRgu80@FBr{IP(wlt+&-qcBnoBs4n;6&~?NkDC_ zT=7|5Y=G(9zQ>Z#&RZj_dx(fb!Ft=XniRqG<*seimaM3(Yuu7~M*+2-?O0)YM<3aQ zNS(J&lE8GItXg}o0(>HEnV?lu#p9`bnHg&}!1ZZIT(Gki#5ViW@1+C*Ub(Q+a?f#k z6lgG@d?rv9OE2?>4=3qhmhGDfa~=uQt)hQNThdR?2L6Fv!>-WbSpCe0N(4{a?YZIV zVt{AXc5Z2Z#zh&&_MBdKHF2MKEVsXuK8|y-o=|)aP+opBT_WJNk(gLSK%2Bt{=AoKpmHq%lQ`N@rg6Vg`f zYJOTzLfx;omkpfL0+ZN--+V7{gHeuzk;XPk{IueYv27c~FldijXpw{x2qz_M(5d@E z%DoZc)PB(j-WKO+&B?GKS5NjsR-z^hysxb!)_*09a;Q!+OW1&H$V;C(8d=&xeDRkD6XwHpf@T z_(B+7so=pwHzH4(OJMwd3z|(wg`nnEQoun2MU>Xgs|&kHiK{tsocsJudSp!xj?Yt& zU+|y&okpJX1=~lWifYiXl#3*jB>rdkhuKR z)@P*6m}f~}B?_|%R>wadp~GN{4x?gLE!cl&mFs;QD&%;$yCtWZ6PV-;4jxZsKxWNa zubmrt(YZJJe0~fOU%Yt@4xvJzHY+`@e$^Pw*NN@f8zF;KHG;IaDc_YUr!k$eyP<)S zlHBwg8|g9Iwe*9YmN_Qam-Om#Pm``JE83BAM;hLHc%N=y;=z5Uaz0l}>5;7F@0+#Vzem{fAk!kv~4^eypo7R%ah5`=V)qTFMHA zGT*d7{{C6rC`VQpe70+?SC1@mDSo@RdbJEVZeo0R*FzF%QoKqqn4Vf8XbXOk?ny5*ZaZH$&F$ z2ptKLVu8LV8nfhdMyQGU%qBt21CHbiB%NS(WC<+%BtNJOk2RYvX%$V7rsxY4{F)w< zBqNt6m)Y?jE`%egxfojaD5Ftotdz-X2l5E zWk;gQsF@0E(lDO$Ur&u1CP8ZAy&|yXw&bb@rE(B-@|5&z2-9y&strp(T7EAbfbzij^`_k zMOEwJR>#!9|lk^-`kzvDFHmC z&)PiPDgL!NE5Z6wQQ#zc4BVNRB1@f54QHdQkAkc2e2E&7K!Z`}&xV50P#(BWhv z%(@BRVy47F_4n@Zlw4^5o$aqXbW#`L*x;r_xnx}!tU3H_-x5tQ+j!%d>rMsq^Eb?* z@{q%0VfS_O2b6G#O7woJi!jPQ?eNIIC=Ic9DqhOOy(TZdaPy|tDITadm7OaP}wpSfOX3 z@G%(;exO>-Z^L&@5TY7pZg}i{OLn<@!Yrat1G1umw^CcbCk?EO-g{Yq3QCpn8b{|0 zdDeAOJ~>_%5@PG*NXykRjm9%HPF@W4%?j72)W}14#f>ha1AtsppTfgceAq;=6k6k| z3$BWaYcx7F;ECUhyi4Qacvk7d(mN}}!9r|flJ<#jq(EC2WG68J@!6Le>$MsnCUFL1cKpjb@B4-n4IdC+9Uq+IUyghmYL?sf*sN-?8Z{DIop+ja6Ez z;BB&wcvn^fJoU*vi{+(JR>3`e&Ql82qb66kP;oEd`+te<`o-&_Imx_G;++kr`P&Q(@vgkc+jL#yqbIS_B z+bO&BN51lSg#Ag!9x+w8I9fHJb$Eo#t8}ts*$xpDiGId(;;{;{4!sji+o=kJrzWE{ z8RcL@9M7&;MP7W+HeI%>g9YSw8eT7BX9SjSCoW&;W``S#Z4MCl#G&R*#IBykF_PH1 zt0nHsR505+puZ|h7wFDquW|qIoTT3yrm@UX1v)l;`=B+Yhg2UV@^XEr$qzg9WE~#M z!jQ$6J3{Kl80ulDcGHCquXpqC9zhvO{~k#3Qr7uPC+WxT6_1jcFP*Djw^k420_7A+ zosHpGuUhoCO^ZN5_L$kVWNQS|6T(uIb-$jLZgo)~KPEBU4R|(Wg^v#JsOwWuLd~}J zEpB_Blaeazdy3v^!N6-1`xGq!ys<@%$CgD56iRbEw#pnL@yd@SDn+T_P7!jAhM+n; z3~@WQg3A;Y!IFeyL`LXQ_*`y+ME;&;RyUmwX zTo>boSy_D#_HsG6T`_d`gyGH-VjVRPCi!=m0Xy=|A!-WX;&2^lcF?i zuissh_eB`DZhK>B-60Lp#TESK2lSwFVt|u+2`~0?bQ(xy9qJ`_-~(AJQ1p89h&se?nzQroG6T15gO0uI(#UjI z-sDBGGA3VCw?0Uw#0|d4iu$Jdf;^jm9+8Ubz{0&-D8@kp*X(4^*q}&RpK9AndX`Y( zhk`Z1_Sq6BX!z3Y4N({)j+^J)eJ2G|H#TOdePV4*EHWqrFIsvFr&kG~y7?Vm#YbHDe|i<`i}#u_>EuA3{7N76@6qGt`| zJDv;aztzAH^KHk&DqL_egz>V{x=Hez2=V3a$3$^`bw?Eg<-M$9=bU^LocO_EWx9QA zgdqgBox7Y}&5HR}X2(o}IAMs^_=XyX1}gR#mM{&fL(0yibr`5p;8z>S=(upEshNVRC^B&E25_9HW$Z1DZH+cMt`YK78y;0 zdbYKQ!Ra*fMe-{-F!^@g9_2WCXzsCV-@aHAk_Q&8YcLRj;0tZWxoyU9w0$UbW{8Nz zK{f-Wl=lzxh*Nv=Bvo;5lu6eb?`cwojmCCeA4OPY@TlHyIpufV?PVg=heyfWHybv* zi1^CJ(va12LZtVS~l;_VK7387aln-C zl{OyRPrN>P`U8pQoVRPrXFWXSmQ}OHRAgcP{tM`Ci2L-W&|3@57|0u^{8b^D&mhH~ zMH%Pr&+K@%Nfu)i`9H1m7W3zU%Cd@-R`5z=Q;im$}R(b4er}Jn}I+QV{pO%6O={Sr@#rSrzWbj*%kHpEY^X zE&?$tT#uA4mja#_gxlN^JTQ~9T2y1VFpAL(zbNgLg7Fru{cx~Pggd@+c9oG_?>x^irr-hQ=2-pt2yXDGk3=34b!>|uEi`R%>2 z`n#0z_!rFkA4`@S4!R(zB#)T#rtF=e4v={6J4?-~qJ2E!L4=1E?mBn<8yBw$CO;xI zu8CH_8@3ikMHl%XnekylN-RB&lwA8T+oJ&?xkA*s#Zs^||5H_Hvm_o<( zH~%|=Aw-+?&mMZj2>T^B_k`-Oqxx#iWZ#2K5ZO4Js=3mJytd$gs9C85?i(Br^R(lE zlm}X$j%H}!&MoEpO}o{gM6k?lKPw$xPP)jZDIyC~Yl~aWl%=p`(1M9WOAfWeRIDC* z8^iJd-p14~;<$JbEp=8H6Qp>&Ec{ZdhFr6Es2|<@Mn2msN*}Sz2o4?08rru{6hnsT z@~+Sk;ET+~`{${+z?t_}S89(uCN>S#xq@;M}c`&qf2*U1CtG?1UN=cEtWSQ9>U;?4%t4t=EfvG&QHV+oRkVg_+$Z3YgM zAGUtOKBt3`4^%s+D>R{bXy$3$S52%n9cbOTcbr5kazR&;Nd@()N=iD7B;fdl0jFj~ z4YXO2(K`K18@vd&NYfidKv9ROm9dNm#Ogjr`&SZSkCuZQf0H&`wxj8}LWzgdejsBi zJf?uBohC_*!XL@UzS6IM{9X|%TU$LG!Y0ToDvkuYzEi@7tCRZoQ=SW0JKU5*tHe;! zS2SY!80CG$Bd1gJG^LQ=?{)Lj4mmKWxpl;x#Sn}Krwuny#&7@VlR2WVBn&8DRD1c3 z78MG$n+rZl<5cXE$DN}pNUYv@)S^fex2MTnlKChN&klM&J>{W`sd5=dVJ!`49_(9I zHzffZ!(N9C9+ZKsm;KA7>exWYcqQwWRLb{vWc|g(pOfIqr4xQlCwTG7r@YQ1Z-ilX z>uo|F?-!DMvuTO%eqn@!T<jZ$`;HM`+H7?(CSA$dL z+t{#N1y`gPTkO{*g7{l&sd^t_Oer92G^tdEb!8WqUb{6;x^pb#hRiJ;WKvfc6#l4% ztWmPhu5D0<{+y8L>1A)pb|^O4As>&iH6 zo8q^}a*A}Zm3D-yQWMY6s0XXGD&d7s33Xaqg)zN?*OT_D5PT|+yY11!jOj{tw>9O3 z;Y_oqv2(Qy-rC!g_bl`)>C-pM%=6A%xcbr)DV8=a%iz|{q&#fKRImK7AiK#hKXmp zwN->Az$7WuWcNo^m=W#%mL{P9v(dxN3ad?F$2)fUjuy&3c69UQv!^w%__-AI+Wl-8 zmFu~~+esO8YNcOH3v)q2dZ6*-hS#K%8cGgNDf`WF!Trx?<7qLMD@v5bfDI4tDZ6c{ zN_j8G+R`qyu8FkHJSmuK86~cNtf5@5LK}HwN9{LmV8NrZv0Vj;QXo9|ye3431&uS) zR{HX@f|5b-lHF|zP(@m%dd9*CT<&S5_xVcUrv8f%Nh1lKb>1yGj+*dDeXZ9sOD%kP zc}m^EiU%fSgX=FwQ@-EuVwXzm6=^gx*+W~Qb^IM(CZZc+SgzQRt8Z8e3k4M`?*&f`pOBqjuL_x^`R*=<==GC^e6Us^ z$BHXa3ul+VcdXq)~|i4BEBb(ybK0&-Z5*pw6n7;-X-K>sppy}cS^uj>87e~5g8DYEX@lM5{8u99#^<-i-OdkrD_z@A`mR7xL#?b z1}xjXw$PT!7&r_dH?_lxdB+f`;LFuxJDLYcZU^g&ni>`1-ARp?#UayVaml-`Hw%@q zNL+EV3Zp2j*e)A=EK>&k-I|UkH8EmO&f_KLo8NcK4N^RbbM1! zs*vV6)p-6W7f8Rg+Wy{B9r$^-pKqbOk74*_TYs_wCv4T&A3l~U3p_PuUVGVl$y9Ce z$Ew#3lap?Dtz5QZoK$XRyzSg^Zm9Tw5a4JS!bDXkieErqizJ*0pjPnvt@b5-=J^E;ndn*^c=P_;F( z)X-kp>jnNKZ4_4^tHvd$2%j5sJC;?n;LA~Jo$?tquxj(ny0`oPoc+#J-?!s;GKo3f z>^Y3zi4&2E*e#vPG+{$TNB*du7ShWi-}5ALI4*BaaUO0^K&9J$-L3dTLh9*@efyjR zVRrKv` zQwbstznx0ds1; zMOLW>SlTPT^NJ=uXIJp&1Mb|ODim-1`O53w*11A}BwK`O7;g0pNDS7t-79;M!4HLDp8Z2jyhzAGJ+hqXuRLqAq)?|9*$=OA{tU~8hCqzNbW1Zsw=SzvM0eO@YD3u3QcKjFS^0JmjL zXKvDPfWxidS<(-;u&TZDUwpy^keTgf6#X_m&J z^FEiFGOt;@!gcPmyN?{K9=Komu2U67Md{GR5qi3_;}#6-iSrmm(%|&(Nn!Br8soqB zbqmvQsLbO&BusGez230}>gWr?pUL|v!;cy3LQ4s4m^zg85Z^`fU-o>vRo~t-SD^_8 z`Ns3^W<<_FZ&=uu?L0usl(#gg!v?EAW0xfZ&u|CR)Qg>N1E2c%Gxe^k6ks(CV1zfc}$_Cf^)E65v zwP26n{I1MmG7QQd-^lA$M2b}o)gj6M_4w~v#{0!rbD7ccPL@VFHf7LxY4vrla1VZs z@yPC}1S!}P`sdcgUoBW6=a>GlHaVcn;61{k%Y#IhDC!ON^3Yf7wf^uYFSPb3 zu579xg@6w;*5An}r8YkYIVpmx|Mxs=TNShm%8h-=iCAn@QeoCTA#{;Vn9||8g!|T2 z+Hb4ZhSjjj#lAf}NMc%$HT`u1ru?j}eWpwYR^B@uXE?nj+c?JUPHj;zG{rHW7?JH6ecK8`nrV16p8u6leLp z5!3#y?JTsgf;DDeIpkJG`Y+R88g^~^DfO)2kDi+9k?+joJEcbH2Nr}8;~;;#ew!51 zrwN~r`oBns?aoYui!FKzqg)XQJJ_Qk75q$7wg!_K#!xD z%7babcZp8m?ep$7Ofk({jbTFx)(VeVq}?aO%g1;38C)2_4-dH(7w=R+m*OuxwTP8P zU*C5miPdtTV=^R)2T2OW>Tv$CT#!fJOG(#gi9Xm}X67Pur2u-gEk>19K?6eVCLB4w zD4_Cy%|QW*62$I4y5!fw4?gzs`o44Pn8@a=cb78*{P|{((jp{_Ok@N%i%*kbXw79q z$eA9gM`Vzr)#(t^(#MVS&a}X;KNS;pTLBK)B9EJ#gdWs(d@kypDqP;f&EXQwh%^c- z_C5R|iKdpX9MDyr!wkY%lJlFluwyRW99ib-C~`qGOhil<&C7J$`oYbQC^xCgJ`2(i zAMEZJ;j z5OewK4`23Dz{zd%k*_xext3ovPnY9`jz(g&IyR3-IDfwy8H1sCqt)^AQ8Y-G{J!3c zMF<^De3Rw%RRcs^M^wsgDgURhPbS5+suGV9pD#-IaA%haNWP2tv?0N1fqx*2+ln9|mAqRc6vXDY%8*jPqM5-blP64yG zxB$BI>wNA+sSv98IPFgHmj}1S$clUuWpqlh)|Hm{xePt>KjKp|9FeTi-3|=uyZ=FOr3g^Bf1G+e zLF^$n-o|gui6JIN=CFm@MO@fx-(xRMR@hDU%Rc#R8Lu67CS|*j!9Y?q{3UT;mb?Bk z8R?zFvO`p}s$@ig%J$Fb@R}k_2hMcJc+KNNG>vaB)v6)I!R8Z32ZYhBGZ`*|f0@vS zwbu%!r0vLRuHf^Os}|a)RP`8o2)#ScD8KdCFFdG&pEv&)9h#Rj@p8A)0Bu|4$BShCJJ&`XmmPe z_Z^S-yqlC|vWf54Y4iR>F2#0TixOBNIH3Qm?d2nCTxs+;E#zG)-+pWl1zl=&-IH-q z6T($mgjaL8phWLXa^4$Rba{#^S2T(RsVXwOi;E%7OS4JT?$j}yrdUo#EJg%``Lr*_ zT#-aCo?I$l{o!&Krz3k9*<0G#8p`f{H+)E&RacFU>brNF=>ucgLUtYFITcmaLM8(g6kHR*7yGz}8 zAcKG$plg`Vg-TC-i8`SphI(Za>g*nB!P&MQRz=5^QC_MbJO6tQ*pqgs6<_oL&#F;Ph0 zXOZq(EP-m3L)3k(C}_iZ-|9k}2psab65EVxz{RIZgH!$t;8-K(akf(ghG~*^F8-Ot zc#HSNUrSd2-n7@OJk5%z*nB`fVwW^<-rPu-a+ZcC6YH-{Ck4S?igI$#(KO66Eh#vN z;MsNVe^%;|lSg&V2LAVS1yI-H;A=mNwJni7hKDfzqjiRu~!K1 zj%&R;k12Dqp0+I0Am&3;YAi!)NM`?jPhVG70|RF zcNZi2*z>(6C!Gz0A;$4<95gs4dQThZx^XbR+qyp8Nql|iYAoh`y5%h)Xr zBxe1Igp?VLN8j%d2H$js07fwp_)=tKdhRn1lJvX!&Bt5{HhurD7U;{N;1jQoh#jN{ zbz1(h{0e@g@iEbb_A?&{ZJqXLT~&jUhKt5>@p4FdP4;fPJO!S>mF*W;wjnzg?U%8* z24a7)bNv82u@84IP95E@0!uu1UdKA|K|pnci-@E+s>tCC*)~9iq>kT>J1%SotSVOf zR<0r}z28lLmX;g1uNCYU*P(^OWy4q9ylFt>wb~k=3LT`hq>fo<@}Xv@5jQfR=P$KO7_TmqTv{HCpQ*MiYht%yi%5qNrksw4K!B7V_G zhtH3yfPAmLFK~C~howHvM(dKg<1ncHY0_n-&9@?T`3oCCrV=Bu+8A2lQfheA#%ly%mr; zZ=sKdJr$L)mGAdbqC+#A`Zc2-JfM7uUVl)M34*$^>+*HwQA+x;@cr>Cn8d5NpRPw3 z!F=vjkS2zCdI<;en1I%pL&inmGHxiz(}o76*KUpXfR1S zHetSm zTJK?#fmfG(@4sN0!#j^Tkyi=6_R}*KrfFjD`gSkRjpH`DpqJ}sp#D$*6&b${ups(q z$xzWf0c=8W**fV*6p?$K^lmZ#eV`23pLfMi4XL7A>0#8XGQ8mQ;0bW#s(|427q7xH zco1(i$H{Wyd+SgfWz$hq1eNLF#$}y(od2*+-l0u0YPwYFT_~}EJ(sJZi^|tQi7O_B zACm>pEtm9R+-e;6%urgpHzEf!(PwhugBoJ_k}$&aLmbw!t{uMJMMXTh{0Dn27qHcD zXE9YBZ7{7*bM@Y-he~x3o!hZ3T-ozc;Tvlq6sXy8M39yiz3>>19111&0ZeWSKRLwU zmVnE4cV!y%w0^SQ{h=sutUkz-aUi41TbJJYEGof^<0=o&Sc=1$l-ce_PD}sc{ZFFz zMp`z!kpmY!&4wFNhBVWQu;PLd{MXPpxcqTc* z=V(8O#k?9iQdmw8TDSaamcrVx0bya`TmOWC)S@Tlh975;hx{8i8)h~ zRj_{W0EK_;I_)x9|)kA!nHW1EjC3f_!V{eF!XRe2wv*Pa&xTKPqj#UuZ) zXLJSB#>d{$Nq@d4>+MRiZN?ch$pfV|MLQV>5g-3KG!`0BHK%VyU zpLM+9Mhq=RoyC}6Pj^v87x3?w3ub46gkU_Y;@RfT|G4{0r3;I`ug=QAl_tNH<8>@3 zG{u>dFY{e#kg0;mEg2lcfYfsV+Lkg6Dr*j zGxQhl-4}R8*C~IO_+kcS+kGJ&Gq|@ZVHK1T|hKcaYNXwfp{>ltaJmVId zIzzbaymWi^QyE|^UwW!nM@3GiOeeZE)KOzR&RCr!jogadUiy2>!2R6QYxaVIU?_IH zdW%aFnUi!$;9bzXwl?kJMi`6IzCIPf3 zf=2StWjRnR5gb!kmq1O*XCxU;=^$;9LrvwU_|To45IT`bDUeu+ymnQE1SNk`jrQh9 zqE87%mDLV(kWRiG@P^1`Z%a?p7)zHy%H^WRi~~gBig)avN0HoMNbBU#KSB8I=rDV@ zOwuCd#q47!O8~Xr_ujP`!G~Vo&^*|(NX#$B(y^I!S};7ek3rIr(8Y*IpKjc#1k4BP zeQdt-!ON`fbqBQwytK8W2Ho7moMPlzK}-?8pDOzy}6&VlTSJY-nD(;^0lKb?aLCvU^NP|2ZQ76R+oT0x zEBdgU*~T*NC=sYmmm&^LO5;+tJ*vncC=Sb9oWR^FrHmJu$8pm|6`O10Dgf>Q%g65X zfNHgb6x|p*{Ah3Zc_M8QAMOd>uVlx84oXLG%+3D6s3WO-T^xiTp6!dt`O_RDouh zi&nEML_JPg$b9=r4H;We*Y2MbhOMuT`a?b>Bqx#e_Pjn7yegX-YOn4<8C=&$rf=Dy z=R<}>b;U>AcX|Khh^8EhJr%046(R#Wc$#9)M{$9lPPO~;vA~+UOQg9J2~8Rt6$~36#F`D}j}Oi&qqo@5P47`D_;pMx zp`%(JeYRVhKGIHy5(f)BJHGzI3t?+r?PB0xf3B>5ZZUaL4&CFpBmt1z5$@IISuuz*i7E_aoMJ3IpJ}DKOxSdi=u&lEhLVhQ%Z6o^mMycx})Ho9C^Hz}cT~vWV(v_sS zqqW%IN|rlqSIJ;gbj7)v$b&mMzN_iZG2Z_$_4lryGUr1B=}=JX`hvs(IcR+)*B~gx zie5E6sdTAfM8{Vvn#x~N;L(Uqkjdf(9z((k1&G|4(q!=#-*s+ao_b}uBVGgQw7kt( zgXPe^?V%F)66MhPyhKE_C?j{3v=Q@`^k)?}>ISjr zX$6BNI)W(o0!{mxDK}htGhLj_$_joq(Q-z(420K8>Wa|_fL%+Ztf;sY;LEo%OaC-IR7XE9<4LSUpIvd}kW_G&2r%2;q&O1z|Gpj1rdXwN%gI3xN`yX0pyPEF*AJDOO6KQZrd)2-Ho zN9X3}-#(&6mAdSv!I>;*_PEvttL%1k<>k$cTz@t6W;3e(IhQ!nI$oi9j`+V>{B2TK zk_Et{CP=)ejvIz3-R4pUsUY$sG1KW286|$UsgpU%58k2El3u&TV6SMl?~PG)Bwd#O zcjy-xEe^Vgq<*0yzq*v#>-;=u{_{S|Fhb{0t6I-5%JmETt+is3I4%P%f5+l;?b%R| zQ>O~Us0`xW&X>jYSQd=L45f~iNFx1envix$RyZK4RhM>Z;D0;+{mlIH*<9W&{Cntv z#(aqw>d)c%vV)i-jb>VtIUV=`v-7{&HXx4DuSC*n4HA8faD=(OodV*X-+yD-Weu}? zlx%Z2M-~~KrPZkYOz5$$KFZ9bBRIf($z#(>M4pD??VO0>Mf{5+E*GppMVi%TpGNtt z;AelH<@mZVgIAPuU3C$lgN7vSPn=%FeD+KX`x4>bnkkboI;}}UCFi-O?@lNnj<=aF z5-qu5jr`ktI)(yX2RMZxh!*_n&zroOk%E$sWg7x#7~yNG#04oG8Q^ub;`A8df@gGx zQrsR;VDvAi;8Zq0#BoXIq~{QOjOh8V*|rksy_VI5buU3QIo#@UF@6rmTryAYAvh4@ zBU^hMi0850>vhG~$KP?8>tq87eNNOi-v8(K7k-o;BHNr9^c;W5>Qu$4_zyqUesm%H z1PK);uQBA(3&WlJbGs$A=n!jDYh+HdD6-v74Yv`IhVD~t4^)21AXU$C>)@nHJhhK3 zmv)^M+O;kuZJg#sPE{n)h+u3hbr>%mF-qa@tV)F1!ng6=DDl?Fr zDnq4~6XR75;I*=F6kA%u;tXFH{w$(_r9&0zdlLCT z$-cYg@EQ-0-)ty%-!=sEor!I#>~pw`mZ!rzS}nl&eB%z4E#f{ePB%{FOTn&Z?gKUL z!l)^nch+c^2C~|Hii<`_3b8*k+VeC@2;L05X4DRmhP@lsQ^{vZ;AdTM6eoOU0}g!N zb4r!-f7|_inH5i;<`G7*qrbQN4hW%oj>5p_HizBh(KjK)#UOn49XWSM6zEK3MFjV7!wJb6W+iSh z2wA_E7b)L@?+oA3SA|iKP~-7cHKLz7@!jXQ)lE9&#ed#kZ@V0N5`{N)XYnIH2A(FR zZxrOTd|Proh72_})KJ7E2Zrp8Pp=Vt`jz8OpKUl9;qJukcaXt|?z`{z%M{~=gwhlV z4Gj@AD||#A=mik%^y41f9XTZYbNZ>pHVSgd5cp(w zpBE)&o+{qIN1f2o-IvbsS;YNpmpL{bl2PuTzkyA}-0sx0QJ&5%0XQt{WE+%dEv01!k_0|L|%H0 z=D|o+7PJ}faBsI34=O01TIO$HfOkDN%oG*-v5V6I)S(;mSnxy9P7P&7WW-zL)3<{H zv_TZQSC?^Yi6{4_M{NV9%PDqYitsCbdmO1A_(6u2lc5binN+~1{O{+Q>jdvDWcs+H zPzF7TX?F^o5=Og4V+^AC2%pU_Jzs3X8!?t`4L(lp%&2zt!9k-2L4fG%do^_^5VB2n z`ECmdhDyI0{C3g;l^r>?83V*~Tb<=zrN97t{QVMI^ZB5CBDeDZ;cx4&jvBBlYj}~Q zx!c(T{P5&wg-zLCG30FYJRp$J7cqAz#=WLf0WsrF&1N#YHSU2@M@lGT1?nBkvn1xU{8|SG7Z!M%*6(Y>> zj0Uyd&@o%O^}lX@Qd)ETiI&ADjPdlp;D_}>FznF#Ufy&TH}Pa&ywa!uyPbSac`!($ z-`_LJvzMtL(b2?r+?>cUuQhoG@xoBWkzg-dx{C2!i)HE+pT(nIB!0QDn++CCUott} zT*vRQYxg~WB8nJN&a5y6i^74ONwrb6oN)b_qwKC^ddNw_LvOaQfY7;2o5xel!_8}VMbApWa>m4YaL$uknc zH0bNSct4%vgb!p`P@zLUCo(?8^SoeY5PwFAi?5B80h=BA--R!OGncnv26}3 zk{5DgeN6+Nu1OCAsstg|VO`s#mdEngBetZDl~ zzexk!^gepBgcpvPek{J~BM0UC$WX|!ASo*(2|YSn?y@Dy z|I_Oe`R7enqPckCXos@jRXr}q*?#JrcIG_3_$y+m=mG@_64`Ft{38Y~yoNN&S17Q5 z@xi#rVL5_Fx^gynlnX7J6f4*9f5A(ls3S6OSfS|XY@q;AcUA5TPehH2`0gramx?BW zE3$kNk|;&&6&`q+?aQWxmnURAG82{Iem`TSeUT>6G+P~_T5zBt0hR*S00wltr73N2 zP7So>U%IkyV}|KBCs3gz3#gu(*mjlBq3AC?`dP6}9EK`~iX!bfQGB}Z*>f4PkiB+6 zm0g}2l{}e#R`5;;c!Do|yI?SbrA-~oeKfs-aR@+JStA!*kY&qaa+X07pO%&D{<6Z! zwUN&y*A$S49M?MmX(4p`CFk)+u~J|+rR~dGAOhpOXwm=85~ikg&BWjY1&TXbE=pJl z!C#GMMR$~x5z&Z!tSlnKp=M5;M3nw+(Zyro0u#2Jl0svi*}o1FeuIrSe@XUk zBe<+uz17J-0*EE-)$-OZVjuGO#qI~y^zert&)LN&4O9nn?nzo{u$?gXv?BaK|7Yzl zwRJoA)9DKF=%@TeU3^`5rT)X&t@Lg~$?A^%Qd*zI^cH z@ovmYTjHP>?=q&>GxO%Ir5yYWFnCf~zJ@v1lp1i)i=vNR-(47pbI$J_m;UaYJov@M zb?q181(pXqX{weI=;W%iP`@(`{OVArGeB$jch>C(R;YZiwO}THQIruZyqy9*u54ff zq5KK0Ry{-xdVGfGpdxs*=4UN6Qc?Kr){Y?_Ca8YyJ@~^)4ZSvZ_Bvw043^JJ%!306 z9-z1|>-Y^0q#x{IY1JVJnIeZ4a_5IUF9A6eMjtgF$-4?FXF10-0K-0{hc(AoS!*>RPDlIRvq)ZYEH+~~BEspzg@0Tdv6Z|85~eJq)F z`{3+M74C8O^sWppX1IG{DS=jc8H*U`Zs4C?!LChCttqvNL7Uc%)L(8(c-N8oR-G|! zG}~8rvN%K$RwLIv9hC_msac_$2~846=$z(R+O)5@?Chb7If)$Tyu5-bm!Aw!Jnx^m z#Lfc0c~T^N)rauhvMl+#2fA4hqLmTH*HkLu}6{zuuMgEIKvD9aY1Bw z-zsxG8~wnpVKu?>{6x<4*(XOvKkX}8$cKh?z<$t!&(q&9MpPmGB1e^2X1VCXY~WGGS11fNK!4>-sEjg z#Ol?$FpWg8W+nXF2A1F6*@%;ZkNqC_;!ioqzj@=ys)Ibpe4`c4ofm~yBu8y!(>2T{ zZrSZx5Cy%|z81^Clc=2Q!p|{ZzE@tWuY>U?acuxjR>d|d9 z)5?HCQRxupM^$v+s(w53XGOq%w7hFS*@E+rnb)lw@S?)g-e(M`nn>Z6q2J8FEFORI z)gsg=B3n!6ZZ>0alqVk^S#?(eqRl=hU$xvt5%^$*m z=lN{4s%xNvyngPfTN3}n>XUSX;dr*OZaj6Fub(MX6drRm{K&{=MrjpJ2U@Q&L;S^_ zit9ZD7rY;C+k#q=t zCvv{x^%{0gvhDAefj{{BJu||frhG81IrGn%K?Z$r zdU5S=xiX52HCcUKr;46iR~sp+5&mK_S^~fB@@8#vU^0F}H{b zrGfOAQbCiwce1I4OPVYB&hy27|5)b_EO-jHVlp)PYR zIYS1Z9I5#{HY|ea!fDQ)tjMNv?!osdp{=BRX+z!8WFr!xld~DUPj}HmJM1cF+-*?iW zDS1%f1&2H+3%_b$Y?6cXZSR{Ic5uP!YI#>W8xN`z(($dlvJJ_uAJ&&jpTRb69F6wa z&W|LOjq)jH$gp_!#^}Zv31njJX3t-zLT>LRx$0n6=%QSvEd((z>Gd;HmYl%*n+0&0 zQbACW@lMxpUcv0ddnxR*O2~Otv2pk?Bh(w7c)Qc$zds-F#=}pKOm{FMeGdK*HVt;f zMB;2C?>mR9Md*nM&+x&yWqx+Oa1r#2HRoH{8U?a)_FpoH&_<{9)8EZ?2*WK~{7w5f z1IjNFXZ;otws3y9$ymMQ`d43eq9rR3NJ2zPVYV=?eSo`~!ykRov=8G+*|= zPuS4&!oxET9rzIK@xEU+tC)1`RdR738xmdLrY`?eq$O8u&qp7-Idxs3&CEgBwfg-R(CVE>jMtHn1z4P+{CS-kb z^p$9y1~BPkac)P6{<*|4IMG-Yo>zpgg*_C5PGLRGw}daPbcRCUR|8ojI2|3S)g}l6 z60c%P11W$uoh%;?lTlI_V|KlOIw(HBx^O{%0Mq|GlKFFT0WZH?;mNRARYnxkN z!V5|!PYF8Oun{@q9U=2lulM>R#eKOb;^d|vn=bLM&Ixq$Evw2LKI~e@h8dg+)s)7 zDSpYK$e~OGeSi5$dhQb)2v;$wkAM1&A34Z79&Sksy-Md8NtZa_{LZS~oGZK_B5S;> zY>yJ6QLuT&KEsD%!cU77i%US{b1Q|@mQ*Ait*ckS!H8Hd!Lyb~;$G*Um5SUWg~roI zWHbbp@%z?POR+n&h)uF+B}Ih+*3LGJTq)x~rp1qS`=3al*EQSgmbj^iBQ_{B^*cN8 zyjF1S6ySw_rzQPO1jqnVLnp5i{W_=Phn~-lQULnCMWhHx=wmcm?<4p=$z0VdpRUP6 zRVc-t^Ncv!W&B<|q)`-cxoY6A^dfGAv&$MLmqA$1isqY zM2EU2I?tK-Y=?A4J(-+v5*SwB9o+tv3beJm1wPA*LYpFaZK`V(yWw=y@Vm)eMnlt@Q@B6JzDR3(zW@eKCT@SfYJw{riV>yuj_*)Drr z7lyl>OZu~`Gq~AVw{mA58Fb?=O*U^O!517-9P8{B1MP&yzxrx?5O(m|nh8)B_?pDp?V?C6F1Y$o}mbKHqjE1NaZSCAnG_b%ORtJ~J1sNFjRjJ)|b{#W+ zeCO^gg^X0#g>*g)OCj`6>znOgai9@Zy!oM~1)K2eu7s2oOfK}Y)R}!;@b564mN%hG zGc`>*>^?{juWr@$>A#akx4m{1I}Fjl%Y7=T&e`VeOSkohg^sxZXkPnp}T>5)fpRg_tU7?mgWxpxZP5KzMR#|$ zOkd@q0bRAPwNG~ux|r9T4O6Qmc(##{#3Z$X-8!(xYLIspTUpVHPa@CaYhk03)9QlI z-QrhkkthUaybj+~Ev1l@yoTBJ7t(iXL=l%s3a&04bMA>fXgCp36!Sre41$JUi9_zKIju(m4D$Ba$$si4# zGtWHDCon!s=pY(4NOK<(XeTDFi zlRb9xX0~(-etqD?3#r#q5W*tZ8P}zRte#>Qc99j}a{7@unYSVkA|DkTwwKVKZAyeb z{7Xfzb?O=p6La~~OC*83SQ=!ZXJ7O#Z5@A+?2~uTh7D+os$&U9}=nmy-yrnsoBQWR{azEvyFV|q=P2<*L%97tb`Wi z_qI;&UQ$NCt7BjEyYZl_zw8u`jVmEKwd#K-I?1Sh+wlX9#GL#0?G@b*1kcx#qQ%>} zmjw>U+`AIrA&oK@7kpkxDZ%AMmj~L$gg!BMfMs<2D~7ozlPR(CC|#YjuKR`XHPMfD zo+LQrq`WTGq+kK4i!1W0kr7A3nk+v)#Yv$<8}phYbA+B^@mt^7A%Z(Jqms1Fi@^b} z;|B|xrm^1JrTXHAOvu(oWgwA<13ZsuvPPJQAz{Atzt2DrdP^naSOa(v&j*Q$?fZq$ zm*m${+VMTu&aE@zmvCWpX10B;Ktcj+c+Q&dde4CrQcTHK=jZTCk%b#GcU$qbOvm-D zL+zMYn*VL}d;hQ|@**DZGd@Z540un+=6rC<)HW=SA$c^nBXIv?$Hu zR9MPEc@!7-RIesk4RxFx)>GpbL{-mN{8>7`<7=lmK5~6f0KZqb|8xoydgm|yp^>;B zb{{3b4?7@^o}`=&`!X+qAn(|9tuPA6O>IgalG8?Sc~uV4i18qksHX|Hy5&%YY?*CX zs|Lz&)-3o%)M<(jIKHJANkd;o^SSQ>8t9~LS(^7(E~Ik%apSWa-T3uWnVL~yJZRI| zke*#x8|6DhZsva=xKEwqhJg&UaC_y`u@^lHxIne(aPJ$Q|Hu2=U8{G{x=$RvN2Ivy zdS*1QB`I+FJ}YsrGud#6)oR%m-uy#;G$bZSkx`Wu4(0&kruBxoWfcucjNH&i1u_OZaCf#kZN=JSPB- z!tI78HIvv2$_e)uXLzBzNLf((j{rP**LR=olrjoew5V$F-oVdK9v^t@A^=_z*Doo4 z7{Of*@lWLMrU!;m(wA@EQfMF{=;*ylG9nG6&@b@tqUR4X&L0&ZbWo~vEeULdzW9^z zw{B53FmT?P_jZzuN*p8Kv5FA)-O!q{Nwz2otBkPIC>I2t3&QFNnry%yDnO%6%msY~ zj5j?@v?1=b6?1vF6cSv@;V)~EL9PvSg}$p)G%NluBFl9P#};@Tm@_D-;gmL8t|y^; zQ1>#Jnde7x+3n?Y4eT&QDM~A6BYYlAd?jzHwc_uK4hW{EGr{~ycD2D1cGO{Pdv}cR zE75Tr+mm>S1Mz&^(ePDc7@z64thT&N54KaQZ{ae&wli_y_8- zhwl%{L#o$A*~4Hqz>jU0y>YY=vpP7>%C~n7EA=W=s3r0T%ddVkcbQ{B*=_wdkLyq2 z)EcozlR3;NG1zC?+*6L=vFmKM8K|Inc3#6TEb`#x;VL;!bW|TKAl+e~|qjy$? ze{k3HNt@3eQ&4F0!^Dfk`z}`b&mk+Jbu5wE()~e49t;ZZWRU`A@q9@^SN|9~6n6i{ z{juI}SWbT0HRrd5_|6~QLcT5uV(3Rn9<)duK z`j4!f72z-ayzuqY*E|1U8SBn#vo8t$dD{<~`_JW2x~NdyvlU`)f60qvx|@Wp z3Yi)oGd?ejp)?HXqf&(X`#1?*Q+2DbMGB2DcefegnfC_crH68>~M4;I= zAxkG;0ruWza0qDUMXwmm)BFOJ;H&=;zlLd9G;%}ag@w5^>}#tMNfn#J6`v=Qe>01M zXU-n_Wm6tB@ba{;!Uy7B{Wl$R+JOKML*ewjjrxCkGUm){?=uB zojXZ_nGxB|%tlp&O9_})ZSbPh2)7U>2WAvo{!u@aQ3O3X$a=eWn+SS%F|qq|qX>-t z8}4V*DaV6tWM*TptDxw5@k54}h`IW0Hk<05yfD9unng>4qI}qOv%HZT&b6ZK4R$34xqdC zP8pfEKYlm+g9ZHYRQvpqCHt%`eFpqhQ9k_5oWdmb)KX>5h86NQVmF0r{$b)xdH5Hs^hw7LA_7j8cy;f6S*IPLhnQ&#K!V*J*zS# z?U<@(_M^bb+FskUPdOo+6gRCD`xCo6KUcc5gxHfNo9{U8LF@yaDNb=iJ-mNqqqHjyy)ul;?21^gPQ~r^_k|ido z@xU?`c5~~xihO&v&|Hj^XfJL<}X~Rv< zNX|LuoS}=HlVl781td$9U;-2s0TBf;B8Z59Vn9Izx=;)R0|+7pR1`#%C_z9F{`Q`^ z-+cc(GtYc8bLZZ3&SgJz@7}#qRjrrRwL(=@g!ZxE{${R&1F2J_xl2h8Irb7@T_EYk zgOGmG{q{yoTStzgSumiL^L&=rWs&*FN|y;4wtZfx)D=MO4mOjf?K7l+-j{FQS92om z5Bs-whD6Bo+G=-pM<%>^h0#1^Ju^)0hSwe(1=0Tw+nGel22ynTqr(L{ zA~<_wn7!76m(NGTHmtv$Bne&AIj@hr-qIaR1kZ>u zne8pD4sIpAEdS|8$Zsb8Og|axMz-%}(wsQA$#$NUaxrRrXn+=ezM_z->4r4+`E)mwHjvM;M>vXH?GS?f-!`8Wjekd^ z&f_+E;z|jW=OnhUX0Vg}!^B-!aid244~7rB?@B^HbwvFm6)vb~cA-lnuRrzckCN;^>QK7AoJj;HR2B=AUOGBR)a*@a4K)$N7go8{((CV# z&R$n~>R>L2%_)vg`H%LH3>O@~IX|L=LF-g%lOis7Z0fcv@ty=c?!9W|&B2c?En#BD zA~fhy9oO=(h7K(mpM8C1Ob1K14m{{%m&GB5Cz|Sl1H@YblVP*N6u9~My&97^vcF;L zwc6)yF~Nx5j*L=TI$YW*aPdbF16-i|D6YsiMhvpcPil|1%+^Tq z@5+`7r0|pUu+1v3nmPSG3FE!0IGs4*WNM=H_vzOpelhzS!5K3|N<*5xHD3ovwNIwb zyQI><&RGWOu`M)U?`)oa>Ln$HI+R4)knJ;Zr@u#R&>X3@({N*;!B3KOqQ+$<87frC zD)l))-mls0WwlK!lLOAKd)#2cGe~+D7E^!5pBGw+_9luZ@?lfeO@CeyQ7n0P=M1q~ z8g8~tT)A5`PP7nh%FpThNi3Fl(_~x41_CcX>N)vwW8AHjg4+A!^A9g6=d!csiMQ{l z-}mHahtMvmgF!kH7~XWql%0naC+S=k$5N(=b{MM+QuyurUy1W6Y;3>oYej#nweQyh`QjELP?K*|)P$A) z;9|D@m5++RMPMes2!2jM@d1Hbw9KQTVgp0BZi)|zBe0R%`Be*nAV#31pr9aA@R#ea z_g@dcnx*{pf$7)V|8>O{v0idEx3T|?zO&MQ$wV;zmmIV_zdle<|5iPjj<|?OT9My) z_?42<)av!GrC*5smg4d&iF`3z{A!qr+$PswXtxTDi16GLu`TG|mD(@T|6223@4wYE zpTZpRi+n1=8Uov|nk;M`EuGwKot^v~Y~9=m{N!xE#LG*5{gU~=Cxl-$3Nn!2$d^6& z^?yG*{F`UTUzrF!bv^6;${Q15)b=+SO#LN|%$xo%p;HlP$t{vowrvfKk0WrB6Gh0c zUqTGrlpH4(7rHedNK8XbLsMBzU0Gd6OkKl3O^y7=tWJgrxj4gb#RE1)1Z@r66#JJN ze%11;hUnO+h@j~B&;Y;S*r4F3*w9T|35312VxEEuzjf_zeMKOI$tlVHqLiM4T#7(N z(Jua*{8}l0yE7~PLJ$>!m5d=Wt$)RkMQCJb;Qt>zzsi#@VxLW?nY)bznLBbDYslXO z%2ApBCIChP<6rU+2#?yCcK=mCazbbhqQ9WT~=;xmV^|6->Rbc z`HLy?XPR-&yMN``=!;%nO7Z?o=R2{6TdU*upR%|Ad6;Tl zSaI3gT7>6fOEmoq%Al<`Y97^1`V z;@f_65Rki?$#uR6cRh=A4D0&D(ilV7SE~KLA<;<_?`fiZ8Ppe1KFCARBnoie$Ubm{B{5iV+Ps@ea<8ygI zXQP0TqUB0ub_{%VcaC4nn2775@);guEc9k+$t+AJf>5kG=}JRBG;NAM5y=-1hfd0Q z-%(0k#rK~U8GmfX{5`z)+~M>BZFen+=^20Q32(`i8ID7P(>Db~{5{~Y$%&i>sz@X@ zMH#@@A!ya}Pd!Jq9SLg>Fuow$s_7k>HsxGNUd8tx8wP(m>J2$|?3g)`hUpH2Vvecd zNbRK1xuz-|OEx~ZV5hqc8JR*jPpO9Ei+xX9ctW>f=NV_OA+k@weHYg>RTU;7zk^tG zpl=}F3KQ{PEL^v$fB)$a^2cQ8!gKE(J-j}cM(LV0CkJf`|@cnfHr~M)3b4$J87DJr9eAem0E9+H! z|7no&$6_QmZYp2)ULd?l?P7o18I1{3Gw;T9x5ImBxsebnTRgk*)3v({v9NB;ZTj(& z0q(f`QiWxQFdmx5Bv)c=6SYW4-#UGy9j(nRJl*_*0nA0TLo28B?-2K{pq&+~Pgh2n+(;K@egY8-vT~Vlg z_R0GNDX8hz1^UpP5QwLBY$r4r4o=W6}Y zY123PHgY5q(%L#(>(9sTZUWrWXd3qYAr$>A3ya!iX293jnJUa(le=uQd>gwnadj$N6~Pq^95H>#NYjmsZcSFKVqvuNL|OPO{IiKZbNxsr;i#V4Jk_x~h>) zaLsgA<_ME7lr5)R-Tl=Qi90u3-+C_;?ogL8Jl^qsMfhc}y zieKgUCj88=ed1=C{HlKPM+MIBobL6NPp$bGHX*;=Sz9GXA~2=>ILUTJ8&pfBBT|(% zfK6Jm<5g`_xPD5+V)2w8ezZts>mAl0yJ2tUX;`lcE!;__*;PImse580V}l!XbDp+c z^UNArL@5Qs=RM#B_tVz&Vh^x47y0_(wGDV*&aSmPpaU{;fg>8rDlk)goKxMyV|D!g zo#W(>Mjrm`6`11;!q_~a8dSB0wY#M_dZqM{>TJMZ!+u6Q+`TZP&ax50ZcUV&jCDZw z=EZ9&R3z$%W$64(m?*WyhUvp31B(py?LO;1!@N5ap=&1SEX?;44qcjPyT55`MuKHkrz^C z&`b7BRiLfM94LiLEM>a>W*l(EPL}g?mMNOpZb&~K?*nTFD#rE1-C@?Eh=b>;8RiR2 zo-K{D#2@P%qYsN4gHZg--V+ukm|^u*EW^|aJhpfnFgaO(#g*X%Vv#SN-xNfZblM)@ zr$`BAE0|OtWzGE%2(|BOnjEaX@p?`4aK$}SY;T_-LWc%MRX?~Nw}&2wxW|*% z9+7}}slsc@Jb)N=u75jvY=ktfs;=8wtoq+c zHZy!ot~I*YEF>{p7p?`nA5sv-g4BThc$nFmB~$1weaC7`@CND+f#rOCuBckGN%?b$ zDQ-XX=}Fs+J75wuZ^AoM$f~$kre>rC6cZ9Vgj|iWPC+}Sz}p$w{5Ndn3UEP_6}q3b zZYq-!m~`CEn__WhnP|0AYvKqF)3UTRU8$N1-{!N>>t5jZ? z1~1+wTkwKbtr+!s5p6hD@AK5{hYF4dTX%=axFIv^Q`f!So)F6^s9P!O20wgzkJ%hG zz>Zt*;@DN>;gz=il2C2 zJ!gh2sZ2KyW|%?Z3TIc>S|>Ppt~l}jfEtc-xSI@4n&HibM@FB|t?DPgQ&|1O$&x2} z5Bc3N$Cso2mq^SOpiw+W)!E>LAS*9Aw_%FNXb_yCd}@g#$mZuODE@^QRi6LTF2)GO z_@a-spC2aL)iYkPF7pNx354oN4IG}%DnFuV1+0@TO^ZD?px=F$Go8*Bx0`;m3|2QH z$A))`Ki_4HGI>>Ag*EnQSU=d*^-&c~l!|y0XPwa{(nS_9)ZlqH>bf44un$Pb+}-s($hhN7C<$fQ<`w6ZJVp*c4a) zIOqX+-{c zPx0C{AEbv@K#o1MhsM0dUH}-ydObfmo5FCB)YSV< zQ&8MNP>2Z zYZHLs@zLJ*wAR3Nf0B!v`-igAZ**u zd`Wtah8)|cvE}PNE2y;jA=+hW3hp7KCUw5G0QZ-Y=L-#ik)|!nR=^wwwa zzLJCTM*hY9gEq+aRBiVcaxBH&bq&s2JM@91JwE?2OA6_;o05Vza;)O}ABL#kN5iGx z7MI)W%piQ`YJ=`IQ+zpR5P$QvB^YNX{D?5Jfj7ey72UR4NE5vn!F9(TQdoQ2Cmi+Q z`J0q}Ycmm4e(`eYt*JdqUmkiSFDPaG%o zL3PVoS1vE|K4Ndz>2=JC=p&oAly}4e>?#VRGNonVQG3cZJ;P_jtFb?yy-p(nDIinC z@tqd#jG((ed_e}U`3kT9X0L^3toRDnSpvp-zqt2gzcXHnXAx7?*Fpov8%{6viNln>j$$_PO zdx%qQ>L7CT>A7ZIeJmOFr7I9L#RvR~r;5*zeK#M?(&f460D1>$=TCL&B2S{<*4Ue7 zxQ00KWPiRjzE6%Q&sUMbZ`0JyCLh)!@o=iC!>k>MIeQ*GLB1Cp?OWWk$rK&i`@-2p z#2_NBN#~-v+3NWH4@KMGukqxV=z)XXZfF*i2_j##A*?<;%16ZnljN1d@2cwH?bb%B z;;p)H<;PBrI|kFFOsN!4MOt2*l7C%vEldIerY~s*is^%7NL-8&g*K)iVW91I^a2V_ zPE#6bbx7bmXP-l_1}TXA1E_vL$bYq!2wRT%YK-Yver$D3{021kv-?9@zQqL>Z7mZ%+@*{uN~mC?g{Csgsy?#N*V zClMU(eC|t8DFQD~?+IMFZVjpe&8n<{aXj@%#)`VvsTV1XrwZ{NM(?KDXQ4%x3sO zfA48$QB63yN#0b{(HL}vJGP!q?F6g{NTZB8ekJTRa9cuIbn2Oj>|Aua!Nn)G38U5#Jse;jM*AJQ4C zjsDFfaQ-<5XHq#iM$t9%n+@M2Ay(SdZ7#_Ga&jIP`;y0Ri387`ZQHB?Vl1s@jCwMd zYkgLR^9Tb3%k(<_&|C|pW^=_!C#+${c(Y3Tc}|##x;d9oXM~!{er_ z`pMr6QNNFh%)?SU%@zzHI`g1whq?){pELUO$j=Ny0|E=W#%GCP59jmPD`gZH`8N=p7&E#LHl#)F7qJ^kbfF=TlBs@1THPmJvbnNcVLavdT&{vpl|oR9(ns{@l!Upx-Dm1;8cw5?X$9D+_ zRFD+qk7rd!+Od$}-CI3ypvo_r!bStzp2wFTyt)P{Dfl;8&5Pl4&0bb@Ls8IMI-I_= zQv(j&ucxY=6I{jj?*o?qV=89+Xr5q^CEDI&|Cn?F;Qdoy{YQ0@5d8hKQX9QBgv*JQ z7`?YfPxzY7s9*sSqR*bS%1gmZ=6e@R9~GfvumHG+#z%^Kv2KhrewDq}J8 z&x=P#0k`M2)dwc3gM7d4!30VJT!Ne`u`mOb0HxZk>Cy zBn-6tqAOvnnh@}D)4Aj}2Nbvzs%>tu7N?Jgs=6yGg4NJ&qm6gvU~4g@uqM4KI5|+b zZhmEo6sP+IdHfWS727|2Se6C4TfU0Q*R@ym@BcBf{;?JCnxskZOg4lTrcaNj8srcP z_EtyxxS_wV;-*0}3P>(B-0#WqjdWJwiu1*61x#J~HfcaUPdzixvGOQg6P38%Hk>@m zj*{EanUr7%YT-#g4}&_C-gnR3S8atVuWMe2kdJQPQRLjPP@{t{j&ciEny3RaDWwbwbHpW1P?u5* z`&=Lk0qiR_6-%1Pa%S*Hs-FwkNK%Xot6M_N%A@kzo6TWV@`1e79d*n~9C|}XJ13(x;{>$9XjcR6Yv-260;!+6F9(>Hk1ts9r>(;q#Me4BL-JmnIKpW?B zXr9pf0-A(gyx{-*E9qHN&wGK3EEvD_gi^P$6C}^Id-&Z@Lcx(|9@XTSq|9=U_S3Em z5sTp1R?+8tIQw9@WW<>VwemX7`u9EJpRwM=N{cdrUW5^5%NBz~r`!q1%w1mv#9Q9Rv|F;qLk16=b;tkWvlmhJI zO?JsR!i8o>)|WF$6Y%j~?c$WXnmDzNPa^%3Ih=mauTXJM4jx92#qZAHz{1n=>y%Rr z;C?!#nueMJR;T2)|M;qlpYzrPTD~*}#am)ig3>1VVbuTT@);YP4#u$@dUa^CkJ^3Z ztPJk_CYAYhk0tcp>dG0))qo);opXe@g2)|QsGMe$PnthL-%VQ~i?$)RgzsHbhGVi@ zjU>EGp!pu3UYWK&5S8}DOF0U`r>}vOo9YxWSgo-;T~il08nvX4dYZ#Auh{#PFp!*fn=*l6@mq|V`G)xHLP=Q24Jim@5D{Y~$GXjby#LlFR~g(z zsgxRgRtO(ID^re&rGSx@m$$Yw7=m53HrIAP&IP<2h5bdDfClgN8uemZ8`7j zf$DmDi@VCE;5We-;MlB-s+*tm9e7{@;-_CI5-DVm(;W8PEwMtHG4;*$=M>OEv88I{ zq7@qP4l2Low!wk(d$x)-YruvE-2%lhMW}5}k2$|t3AS}frfHW*!}`N~mlau6FvVph z^L>jpHtrnNb=NTg+p7u(M&A5uEZhIOz*kHBJtXi(EQUI)mJ`PknEm@qmx(!$eYMF# z8r|BZS$G0XknU7*q|0tjXn*qUqVZ7$IK?HguS`V{jtsxQylz1gj_t_nd@aHTlorPe z^XQdfDedOF#3B_OuIxV#Uc3-zDaIhbq=&fv-idjCPN=X{Sa;{32x`Y_2JFsM!+AGu zez~%b#2=~UZ%4}6Aj&$KYXi)YJ|v#l^nQ~G945ZrDEWpGY4=Fz1&*#oN+~;rnI?Ob zq<-&`bzcE`+rFCKF;T(u3u97B?=*3*@m5(D@;>{sApWz<7l~ju(YHaH9HZVQen*|P z2^;7?FKh9C$AN9q1e#~Vdid~h){}>oJjl_S=f3YJKbVD5`m@lRVd<2v!Bn0hd>vdL zz!=U0;p{9yO=r|$<2`PHS~_(&YBj80eT5qS9(}ah#(!M``?W44hBzuA<0i|+$(Kri z8(57OW)*;DOVTbrCN*fvjc`$zk;kKjStB9i{E!e3%U1YU27C|Gh1|#{&l^u@YbRD| z!F28#{f7PgKs|jpS)xu4AIF+Jc5Qe;%(~j(tDSBLHF<$c_bV4j;PY%?^1J}3iZuI( zZO}xz9lI)($T;lY!DlhOUIQr0C5HNIc(C3?NyxsL7H^j6HvS;DZ{u7b*OMTHD{)yV z-84?vXjS@3RZ;?_Mw9AX$@_}?LTou+UN%KB>7nb}-!kAS-^?)wI&I_?bI7co)`R+h z1$EmnCZtVytE@mz1^xC@sm31akRPO3(9dTLd)E78?fR?*i-BHdo3E+EtwxSDJoWPE zl=O2V={B&-TeWUOyT9S?FP?w@(XM=jqi(Kj^LE`@aso|J4!#eMZNV znifdsyj{&$d*tvn=~CeiKTGHdH4t)4-~%32>Ps)4E8z}eXqC--F04Hp+DSX7h~a5G zx%I#dq-RT(ucrl}@%w2h?r2>woY3gpeOL@8C*2HNsw|OL<-#imBMo5H&v~)5O&1;o zQke`NGlm=iTWL=rIeb~|7SMcH5h-22YIWWah0$BfcDv8(p{#jG`|KhU+|dmX|Kz8M zD4r|u@|!X;cr>5AN6?tHAhSE7#L zmQNS2y(40NCFfuYGX=OkDzH1Fs0;VvZ(ls*B8fs>4?GXg8=$qOWv17-7@FUB6Ybci z2rE(>P7F#a!X~Zjc{#;h#H_8U5-+}*LO@4Xr1EJ7IQIHdmRg?~ZrHVH^TkdE^h>2| z#4cT6&D*^^(a(mqOXhbx&oY37!AW@$%jtfT2zDOJ@EjY%ZBse`S}TFV8d+Ub{-xKN$ONe@;AgIlDu)V&*e~KV%~ls znQZrXj&VR748dZ{6T7fc0dQ#$B)&ebhDA~R&G*x_(2$X%`SGU(;xp&Sl$Tl$iKMUY z98MuTu-J2G!KK|4Zg|BKdBRO`?ew|yp}c;g?T}B{v8(K`O|G`Qs#qS=))YuO4(h-p z>Ha0V03EQa(e@S-5{K(&l;nS%tBsDkcu7h?7%n)Sp3adcuXa}7XzI$*2jdOQ58dhH z(Z01|SJD#`92~x$xj1D6LKLhI=hhqGd=O>E${R%x>{K;1^Du%y$vKJkwS2fyIQax2 znH4LdM{eBxB#$8~oW>bu!mIfHUqS7EUMbsY+oR_?G;zzNh4|;2l~CF~>eKNIeKbY| z;Wkeh44l$U<6Y!KdhP1*1QixMce6FS`LHs$sO9F`d$B>hL-X1j4-K(M>e-udS^-3n zqUZGmpcV7*Y6d%-wHyJ>rxUtom@F`-WS#a*hcOOV^yG%;r#1t{L>|u)$A1hw& zCI|{>7~r!9hL!6kLdP`_=UW^84G@3jOhWq+z-=h@nGN-FfQcR;W2%Nc8|hH}-znG|6#Aw{c%bAYtuqxD754)8AD z9QDKjD-5DcYPu97h5nCds8#Qpp_Tg+-L+8~p!R{!O50lpd?lEl7M1g$^Fynn_O0qz zaY^E(EblwgC9est@&sjM8lK2uIn_NTfGXV~c;a&Onh={pz@LH6&;=V@srp8!ait-m4mAvapG zh~3lvpo&p#eQ%?vmWX_B7-LE66o9aGe@nqQFHD+G+;L_UM+u{Krh$S6u)gATUo)jR z`8@3T57hi)q@kuar5;x`!{`2N4c3%27B`P44wI&V9RhiEPs1K=3=2D6iJs+Nu5)JPMufhtr*ns zi(C89g~wu0#dhG;M*;(Gal7-ZbRz-kU$HhYe4+v|t=beVCO&*4?ld%!Bn|z#hsKH< zO+a_Lh{lFW6_|uWp5(k1fX`!*aT4p9@bbm$a^1=lxGvI*@6iM;%(_^(JiNn?m$}Xj zi5xe_@-s!zCEYwAX(u9Gd7K}K*Oir|@9U#NOVPI{-)UgIm00agV;L|E-4=4xS{PWL zb`+E~Q6nX%M^}N7BDm)}ekIDu!zZ4{5qw(RB$1op^)tqrcrev}i`+0fTos{>s4f?T zaW0MYb&F;o$rIVFHg5t~6bl)$Gc-X=ZS+RwI(-xnuj1Hgqy`z6Em?PrSwe!XMgDtx zWjIM=bX;gb9e;W)y}C}GkNn3yvYPU@kif`}(Y>Zk$`C9hn!o%`4xY>g=0)cyfiX9w z%h&Bgq=;=wLWjss6pC)K?Thd+g~p5wGqtUJ(5guH$U#&c4ke0~Qpc!4q)M{xnK=Ov zx6T`#=;4MnF&xInnaS%Nm0`lZhbBo>F7IT_+q+0M3Irk20UuL4K=eynBI`8?a3Er<{J{qRWVKgoE)iHWGvi*XMnS1Iysfzoi zzN`g#e@IAZBkLv+IA}_v@feNpoP))3#RVNWQA>2`8!$mB(Y&P%d-QQ?#?5{6wKX{5 zn3yE*sDO0FLATEFOQ0^56W^9HL9i8nS$E}`F_^36demC6!D~`O{!2}I)UP>ZziWp! zo;}wpTQ<&xcDx3zuXmeZ{!&J!-n=H5$@o^-Ig-}_9gBZX_Dew4=vK?-JRO)SKUZ0M z{uK#d$BySoYJpenNx#KeGtg|E8|-dY1Lpo4FJzX)SMmL~0P(+5hwOvsqfT4I@I%e_ zZvoS6FtTjxP%t6{83Rtt${MC{^)-+Cq5T37m|s7_b5RH`OSp&TN@#$Z3S2m znSLSpNC#d~F)OQEaADI=kM~=d$$lDc%JS5PDj=(*h-~4k0kkx!4JH=|AXtgrQwgMj z%{RFWiSLb2R7w>?iGd%}_j8&kc8#8xIg#_24Bt$FcVxdC@95HLjme24ptnvl&y{px?f) zfeXC?7l6UGON((7<*>K~xyS*tplh{Fc{@|`>TzVkX z*vNjvOA7Fuug8c-H zVSaUtDxW+%Vbw}ECGWSkm8^Y`{(u8z+%)hqP2)e&GSDfD7BVHnITA_W>oN zg4OlGe+QcXqp#LJc2c18nk8N>G3dI?Dugd0E?pD*N`V18+EYr$=862Sf+b5QW%0`F z*xe*MMM%H3)V@-v0J&$fyqU8nNHljII&!>{fd`v%--V5e<0n!z-)lW#m~1zqh;Pz{ zEf+Tr-`m(ps$>y9oI;)lX85oy@12__?IzG{pFgRCdGB>!{UonnWcA*o&`wjsnY-h| zen|vStn1eZ*)D;(`(@Lk6P8KrlUJBXXQ|MJy(G*iNEfAznq$^%r^64^imnWMWWZP_ zt#Z;=45gFKg?!dfLVwLJ=Tu)J^jEj=?a!F zu3>$NsvMdz%$*Hn;YX#Li53@?hlqtK^gNuYv|!9}Z*TBbcGTxi(3~Uaq3GQHWH&oA zIJN(5#PL=g7%15Od1+D)FWq85X>!~h+gawO1{*=t)Rf+!u$Gw|KQJV}i(e0{pPC(^ zy)OZTpj6euNE=+fF57QULl2B6Mz()1Ajg>^BrUx9B)vMn{2!tDUke8hdqWbSsKIpeGb zc4w8t9&{<9N?M?DWwJE3GZ)ZRJmZA}#Orsc9aCd*EvX zsS9UVO_#;MgTl_NLs9`4k0`S~y`YP!<6fEJM%#g*@cZ1g;klM)n(xkwGlI3-};JS-3~7JNk_T< z+a5KT^(0+-eNG+b>kR`l`ci$gbaMqd!!6E-Z(B}(9=Tghi{T~Vl< zy!o}MObnTXI&OJq>VibV0LRU-)%Ya;iqQYwCwhwH4(dKlTt7bcVnZuC?7Q6ZDQO)Y z3O!-^Vf=&@%$h8Qmfwowt1(HtYZMElE{zM37slmLCQ#U^uwD!qof5a~a?r%=+8rVS zE&{mMbjZ!|+c2ruZlX4ISP89?7du}|sR3hIP}5E=3T(+HE`Mp21eTuaVyh`R;A*lx zq#z{@(mX#i&+li!(Ayj5^JoQNX7;7d7Y7yOO`IC=$Xp=ik___Bn5mNW1i@R6EVyAf zpZ;dl}A2~sG4bADIYdO z(&F?sG0qjm7GJ;T1LX6EjZeNsPN}ow%p=DnCvP5H5i1UDtTu%3mwQi7u@K>7(eAqg znQ}nk@G;=ftPrNXTX*@CnGA}ECw(4{CeK@~f6zYWQNhZ*yYxdodZ_JVzP9D9H1?J+ z3*FKkCpm@(RQ80=k~B0Wmba9ufq9jGo_o9oyk07my#7KCOep6VHb)U*+x*>)yEIvG zxq-8r68*JP9T}v9*&>XXRQmv0GUblX< z1&cxG>l+b{Q~c<>-uG;CI5%Vq_^za#G(iEKwCl?6Rd7#W>q^x|X>fVcAIJ;>AfIq+ zev_{Rme{#pa+O!aEd!qK@fs_(@N9j&_(LB#h);tl4@!Xr1EK5KX|lb%`v({7Rn8e< zP3%j@V{-ynEAjq16B#en?t-q$mTYjoA$roGTp4wiJ~O)dk?qIc&8k*Ka3Np#P45d# zb;P~C&%%0T6_K|vKYv5pB=L#od-bQLtdOr1r|s}Y9hdJ8PM(pIf$Qf2N)wq3Vfw%% z>-Uy5D1Oqf$45aJ2iB@jSJ87~i^Czq=h8C3HIP4l;;ssqFll;cd=NqwSwH{yUFtwd zz2nsMUUA$h+WFw3r9A2mTz>CAq7C1Bs%7e4uaIP%bOdX-8Gu#Pb!MbN3@$WjZ;r0i zfbru}3KW|pq59!74--}jP>(sY?sJPKPWTYK&nTLq`%VQz#yn&E(NVsnUMB$yXB}wD zb6JtSBX8l$4n9oZmTc<&lK`|SW><`^X+f6d?8TlXJvgpkS?$!J2Et@#KnD4W(3zYt zHb1C?S*Hkc_4m}VKO@bighv?!IG0-X`$&Pzp{}5j^K3xlXn`+gMNsl=%~aq^S+MwW z)XSk*25BycNog%Bfvdl8#^{Gt|C;}=|EQEd-n92kX@bs)?i+FrlGxkau=%!#BJ8rX zcGh;2g{tJ|m)6iLK%3jP<0frl_&(Srp*CLy?)Hi5njdF@&1s*N%3p{=z{J_&E4Nia z`MBRyrHlgHp0=~)=uw1Bi$g2v60GF)4lQe?OjZy*weRW{dL7*DV>T>*`wNLqHp`=0 zSrpUeRl-aS4Pi25{@(1KS<-me#!mj6&CkKOv>(KUuTFzz9x#lI!k0m%x3uc8q=6r3sn&w5s>W z^WRVJpUTSk@_>uickMmf$mjS>Lz#{WYN7@~@trdD3~~R-;ErM;NxV^SL?~2wLE5N% z;;=%eB&u(CHUGL>0|d7}wu?8X}5%0~CpU~!qeO((p_mIykl!S(p_S>%7r~PO6-ZJ@K=h}A_ zI2`1w=OUyFdgc3^Y&OcmrtHuQKIDDs(nek`zba|C)NvpoL7Eq2!;kvQZvIBv?r^4; zDp(h#0@i$AE5HGc-nYVBfAYXP{rWre%kp4G6W=v@LJQQ-I~Hzzs0R|ZXP;YK(SWWi z9TWQwbAbTwp&xYeDkyZdShYoq4wSql4!`hKfXqeKF0+sGr2F}I=`Lu9qkOGU9uH9i zKfiChwB_!5((M9P(@j|#kYU`cW?%h?*rQKbOH5UOx()2#`N_ZMg6jK1yj>N5{{H5^ zYg`;qAx=?zl|~fgY~~!1M+QxTqe6p|C4iN1_({x7M%bIw zaGO*+LQIb{FH(qEBJCbwjaZkfMW%P5RFPd9^2EAnP6?6i!}Nt7+L6x_OjZ|MW$%)M zs-c0UvA)-&@3h7T);8&4L)nR(Q=(EJpr2SnJ+cO0SyQfwAkS+T-*o557D~Z7^JXS5 zM|rHbuC7bir4NfD0shksoFJ_CU2{T_9VZ!&FE06uV*EzmuM@#cIKXmmHg-u2fiqXz`gjF9IhUe!6$Yq9Ua>RK=<&>y_@rD;3;)}PeT_q(yLxD zFuqC&ZSG~x+0xHqy`lic^v;!!Nr3yt z_qH7;pWExvd#rmtLITyIA1Y~o(uKhOw|n%i=m3q{_C^LSP2@4}tD)DE#;i35)9;Nl z0_kLp`Mzj%c)k0?1NC+VIAYL3`?ZV!Zr`5L%kVA`L;Ds>`~ub>MR^GmOOG^yVMUFN(*D*@VSO@I+%{{jbwAVN36*ea4@TrMf&FKlhty{(6pd9uuV`E(_ckQ zT~`yr!;ND@Z$~viIb*}#*6rf3QuB&gnY_P#-A|_N<5{vjL>ULC&@(Bx*BZh{NYI4) z>y>7fbQvILKPy36e}=S|GbSivjRZ{Ve_nWF$^!z;l)Wls`ygqwj>F zAeYn03V$R8D>tm>4>z-8=twM6dV>~(P97sznkeF%A@7&!soLnqpljaOt&Ok4=xrQw zFA)=8M0Ge$@u6qru~Qzo%5X;e#ZOUr- zwU4%IN~KsEq!faC-#*mELyd;}-!X|{*WjnfL3T>ae6maA#|bXrnfgo}>n;!XIi{Ce z?kd1&?vRK9lOaaEYN25E6UPTxhtouMYT^)0qL1S=H6$HS)T`_nBEHz!|LPvK2-5g^ z7qWe4!>(?Bl7IytE=jGS`^qi}+ue8a2R)-fFB%fwiXoujMu-cDV~2MB=!+o(S`f^# zLptN03~v73asEWG3^dNhMM8}jK1PB=tXN+T6MFJl$`xZ^`^Tnj+r;e4HrmZ zDzb4~vB}}1J9>0AKNaD)(5*h7DPCZ=5VX|IVkg^2tUnbtzzZAa(#+PD$b#7qFMhKt z3nbx`U15bbBACtpGw@S_EE+>xyCvUuVyynnYq~`|C|UHB-Qk!XesOdhu%1@{-A9c* zh3dlC6!XK{oSQrjOL3n8DLOdH-TFD!MhkL^A z%1L#E^qFMDl3Q&6TW_0O_7qXZQzu(`q&hW#_v#cilO5T=mHV}ijKz%D?NX3PI==M~1%o?PnZrYs{ua8=UPOq>;aa2nZD&vsg!ot!| z9O&?!L~SE6y)|)~)EQUBN>?I-q2=w_hNn1@s?Lb0F!7y~uYV*q;Ilf$h;kS#zgK}z z$K`MMJ9d-qU+Yci2@=Qoz$^Ptdt1W6E$j+cLU>Tw)4RVh`Uh#Hj`adfA{DAuX=)4a zChIjOCi|z0)#0IeXbp`nE3!6+?=)F|ilnbbr>v4eg-5EYcVu($VwJyIdl~~fcwD=d zQ*nbIz4koM%GTG0gU3&qn|`H$>vi8L)Osm_XV>@$eJDFT5xV0vR>6p3T@2qmd*spZ zUf$>D7nE?rrI71wG6MLxQb1O?OajI$2tJMK+Hj5U_>hB*0X*)~yuZs+4Y)6H7D%c} z!tJ&si|#R2{BZ7#Ze#}+UJUH3-?F5JzU`qMYV-0K^tS%tpo|#A>{IeGI4Y0bg_AM+ zPm1AE-AX-Ay99E(_`h|V9{i`r_l2={7j-`Jpm^CczcNoTjEJ5v6semeO&xP9{cw1c z)E{@gLxPGQ#E;Q9ip@yj$l}_74HlBPU4eI9n!O~ZZYihxa7PJ_-+j8l<0A(?T(i~h zM86jNkQ``KKB9^qMvW@_g9*Sq?HW`$Pl>t&UZ1${9Jre&CM=_x6&o&4=zEq*fSyoI zjmvcflox1jdrP+aIWX2}WU?$en|1{|S8#yH zDdRhQgQKKwS$1>ZBn`M$rV+qPwwvEQ8KTdmDv3|NCO#QHq70{36jsJY<#2@O)z>}h z%S4IVCs{O~CrN2yDK)*Z|y$)>HQyxuEQbNhF_%-T3B|+@d^rMei5-9U&=V;=(7o(EGw#)=mSGuu1=lz!}e+zaf&o)*#41W zn)qhJqPXUOK15R_E)DjM5j*o}Mg+uUkg;g6ZD&0XBwICZOY52@>m9rOnyL9w+m&bC z4T2H!>(#%dAxa@y-rE*kEQQG}YaY!vOW~kk6--ezPw)NI`=v6^B#~ABGwu}S3-ZLJw#KdE?WeLhMB+X%W^n~=^KXmYnRZ?oqo+BmSy`2op(1E+FA4ffiGsVbX z16{gJD)7R;-*lf%E2(?hVa~Rf6Dywg7%NbIA{QJxo9|rE0`K#sg3ej9giNaer+17F zCMjsG`N(bwe?(^p9%*Gf99Cn-uHOfHBG9mFMD~uWr19? zU}M?3Nf~Z^>gkRC#DcB9UB3@bs(`BO-BO`Z8H5s6-q*1dp1_rw6Giz8LQ=J@&3OZ? zv)Qt#sg#bED|A{}R(~Y}8a5Gf3@PB<&l*j$Q-kd>(*~4r5Hb7VlASv<4?GF2K9#1Z zi$}AVMofn^kw3|&+9E|8<9iODYvEvlL%Mg{14@K}b^A7f8{E|0iZ{R0dRYQCIWAU? zub})0bE-COzN-wJTJcub$3)S^rj^5SiVkK=KVKM8K3ZYA9X$5b@BKde-?2-pVuY)E z?KV?tUa?XVh)m%?(^$(FZ<^ndwk^!|4_J(FIYmrl?lm2Slm29n7l@rhv@Jy zeEHAFJ#BdKpxABWv5x;^>YJ4LvwEGeDr|Xw;C8?U7I0#C%)D8U#m`Ii3(t0&Lfcr) z=WGjM44>FkoDifB+L!cCdv213gX=4cWPfVIynQH#^>cIVPpofuKQ9U^IBz_^w@(&y zpH6S{ru`&7>FOVSbYqmfyJ_Wq12ZNJHt9d>AgTne8~i;7^Tl9=!)l#9t$Mg*YW$ez zsVE%plWMfRAOZq87t(n;`bgP=!jz{f3~Y$nu^3${h*w+M9L4L|pnVJf(;YMoR5F){ zTXDw_Hbo9h6q72r@_WX>g=Q`of8hQLKI?$$r57zPqh+AV$D~Ovlz|2L7npN+gfR&c z@@m5wAkY-_EN&kStJk01+tsg(&CO-nTXspqTQ#F5848c?X0#+TUpIoON8TqqQ-rX- zc8`R^b|nyX^Ggf6q6i8{k2ci^Nh15t=_BTQ@`$T;J*q!fXu}pEa*01r5sfsNI|hpN z@!^XB!PJTgqVQ?{X!Z+E+`cJZ-FTZk>Uw;Xa#v9Rr}jO?OP-RzoYG62+dn}r_FwO4 z@m>kP_wMEE|I7x$(&Jvv?s`~r;J&~0qySzEKIj%vyaM;BczyByA`hc(Pq%b+O5^=q zbp^>v#(0ZAyE`O!nLJ)0_KkIl(%oOW8GK`v5agUw4NcqLNB&n|C|eB!6)UzVVaLsQ zrJ~OUVC}cmcHko)o-A6vV!c%blvMM}ul%Cp)!CYVHCx%xO-j#tA(I1KM%qHQw{XDu zlRR=2el#psY_PaR>2RgZ*B087`Y0}!$NwNz1vqfnnWoDIk|tmJnxqHG$C1xgth*_V zI*v=CpJnAx$ZLE00apdAJo2DOP*)YSG&qvh-_0i^xOhcQHZ&EI&l6BFYX z$R%ILCR@<(TKeXyS?@venQGGB>tRaxtU}AS)I$q*)|8FuY?g(C3|TRk?Hnk=a4=Al z62bKze>E?favL{Kb1_(nUB>6F8;yUa>=c-7SjGV5g>7H zq|ihje+b;&kytB>#+SJ?xp%7|M@oMf2kSU7>zTA~EMF7g;hwVP7=%an2IkJFh<5k1&1tn1fRDveLCz41r~MO<}Bb@$U& zZ3reDqefJip(^dQ)nxx7*$`>1vRh9EAEb8wx;JZ#8gi;5`f~%s&3m%xUJ)w5x$Q~O zpIAlcbCrnd=aB|$v&|}>A1lM}f=|0s{>dPV6~F5pJ29xhb7WefD9ABPA0O6G#L&pT z>L`u zeMuI|gDUvr;F&yK^;`@DtzSU9wL*ZZw8>R28OxjyT<0~!pYoYFaA>d z%zw4|=3mYiR*PlAiQ6ZazdQ0n8dvMR>f=0ULK@k*6i|9E_46t9vHGBM>f(9NXayYF z|CsmtcV*y6*<|Ms&JU?t!^`(mOkquj&)OI&*Sx#PE({Aepql01#89Ie8mPPKc*V*? zcg5Ds9RtZ^*mQ)ydYB#x+Q@kQd_PRc<*sfjtq{X+*UbLu_-o+)ZSjrDe?{<~`qEWa zF)>`V!*f^ldI>z${xQ^}kO6O-)zR9C;!$}%F)+59A{6uLwA}rLaNef#FkNbfNaJ{Q zRIN%9HBN6F;T%-Pdizd4jX+gs8nM_Ben17|+9f?!9^;2|9XEYk+?k-s>G-9JaRdCh zUts3uOBoO>v&C{g_TDKf@cTU$!dX?UT*t>2iATd6P@!&jqpnGX1-MvXDPA zLJ>Mz+9W9Zi{f9p{8)LUm<19= zSS;mt-6OLes;TlW3&AG3&QdFn9KKdQYQp?U9&G+RDPam1gl~?{sa8j&F`(URMELh2 zd3)vIcgIsHUk`1cYk9oFsP)K<&yAXw*KR%*^J#(!-%XmMXCNv0c$qb{%Bzk|-%upnL_Ns9al7B?uvjtb>BqT)3~JMCbJvt3Opdtp4(cIOvpTwI)OW!+x2& z2u@po-Q~kEjCY3UGpA+vwOI(w{)wnD#VF&P{*_~4!D`4-o}wHmu}u8ndg8w`R0H$o zRL&0wm|<_G?_HU@D`Dg(d&?qS12sAiH|m?Qq5F!`%~M~P@#fJV@nsah=RbS@PB|w$ zc=H?`$b?+wi+?z9r=L;U!&p(Uu4v2~@#a9+Mf(f1TldI}L?ba73vsyQ6n8nKP#0&6 zWS0G{RA6J%dEtn{8RG1NxJWO4SqQ$*yW>C`9d8wVe_5%<3m#!nVKxr>xM%N+zGnYr z!ks(gMm#BjtX6gh40-gi*+9x$npq4tmHjJteM$({8~#2h%QQ$7DPEa{!Cz#3o>LgT zP7T6ZdDWf$DV=(=T)*iR7FhmdU-gKI2|mA=>G}0b4TR;@o>o{hgVj^7;R&lgl7}mI z?^-ry6yAO$W)Fok7O%Kq*qAE>TEue+dkG#qy2q!CAxo3v=+7RpBd5k* z%c&tPJZmg<>=VrtJ56|Yc2`OR&CMlr#*hWj{ zPg~#mm%rW$c1#s(<+Uq9y90X{ zZ>m@GlzQQ@u5fiRPAdHq+wA))!y$U zZ6G9X`LqJeTb4%i4XHq^Zp|m|?J~eTZ?G;k(-iLRl0Dn^oe#yh8#IYH^q9@ z??*OtsH5+f^{4K$s$NdRUymeJK~75>xBC-g%ZX9W}JSZi~w$TyP#y9ZzJ_v{u!W7o?C!cl4v zE5qDuvReX5U5g*F2)7anJDJMPB?-b6Q4gtN`&sg7cn3>Eh9p*+Cm6ME6F|F^37M`K zHSi*GPBv%hLJHLUE74-0m(74(W#<5Ky)>wFH}&^QlJfXnYIc#A4PTU}(vO=ZYWY=7}LQ5n1%Cw)3|Xc)23ZR+_! z4Od#W9=)oriH{Wt=dw6GXnthapSFjNJL@#fo(oAqlE#KJdBQRfu(*0Op-2{dq z@=O9gsY{zijw!+ArO{t0Cq>ZX#(^6ZpA~_vuFpGSv5Ablw^1nUMgM;qd@$_GIab9q z2@nu39Vt^&$5R_-bXwoc5bs?A`U2t01_MShIGdHY7?4Qe{ zt*SE2tsVZku38#*m#9pX#z{bLZ0O0;YZM`Qj>dGkMiulEX>M;HaDwjP2-k;ZA~?f; z!QAArD7c%LJ}USs2JzSIMj|L*J=33#SMR8>gXq)XqHX~;Jk7V+P~m4FFUZP{dCm(j9*!E|>eoNT_dhd&s<4`S?}J%E=Q;mq z?kgI8$O;N>r0@`JPtAkJ9Hmg?qXozNCJx-oHan~DJ4_zP`I#}}ECx9T{uTVa#*3o zx$)$?ZT13Dd7&s${FX5KeNZ~nXHLV_c0D2+s>QHoy-VA(3@&WqtXXr2XNeH1_5M=UQxGcveiB?<5 zvo9~vF>9JBb5jHj4;&7A$;?gR@X2Jc%3=axQpc^U`A8Am*RklGdZ~>X`hoe}f3+c& z$Ef9+(>%%0Kjyk#j0O*{vyV=+^ZkeK-}J3&w~da7<6q{8Hx_k^WbOry|DeLNf)27SHLYL22*bB_LQ6D^@;Or+K3?r5fd{KrZ?`KI#tA!J!=OmY zFOTo#bX=Aqu)DU?m|@HI>clk$!Z=mJs`OGKP`$Pwm)ErAu=Uk&1r+m4_Damo%F4JV6P2B8X-z+{iHG9-B8nK6+2K8HRH@n ziV)H@z9;e|KZ=Doi0a*!##P1AD_6Z0M(d6!Da#-+SicXwW&KppJ9}oYLxKtn>2oS4 zPW1JkxY0f6g(~)KdnWZsO$v$|X9Bx(4dM8v__n!NBMALf z65BP#j^cjz_TBxUi*4!8fFHDR`?HK~dI{{H+!Ln&E{bTUmZ$YPn1=6ab(F;B=qQ<% zXxgE~^dENqcHg;n^%R{OE$zJwc-mhQ0!Kr|ag!GC2R^*C=MpnO(HD))E<(_--cokd z_AlY_;zOg^LluZQ628afCJnQ{IIR)e*hi{wdEPE`Oa~jk%NlW8P`b!{rSU5SbdY7j zkYAxy1~gxtb^d51hR;jvx3j#}!c*q{mIYR-@cor}_OO5wM*Nix*Jx3KbN;*US-DgA zm-U^k^}7wRX0Z5=;C^=8=C<+L=X)Zkv^ha(X%8Dre`u#wxX57FmSxwLIxaN7Fdy1> zQVE6nf_EpJrf`V~gC&MKH{=|89VlWb52r?ND7NJ(!Ya+&wLYc;JX#S753t;*CCdGEQ+mOVEJC zztI)j@+e%)qDN-3j|&U#XXbtvk_H>{4QrDO7m!mwlyW1);9i+h%oZMH%2$YP8)Tx4 zDsSHu-?31{x7G)4?pVQus)oP$Ehs+;8@~QKWhYdj`BcE_)1~9YTl)b|OI8(#6t^x7 zW++m;s#{Vet0ZB=?`xVjlBoWvW4P2FqKp^m!IQl6V}y?U{fKP`8c5-fX3SjkEyTNd z#W)pRIz&~n)+Jq>C5`@m6Vua{Mb*VxhLAdg%J&IcFZ;5c$UP9`9DI9(xYj71;jt)+ zEE1ah_)!6TV{S?xTPY9Tud=L?D7|XXz|HJYzd>R&E3n*$!p8?VBM-e3l)&>12j)sk z#Q($9x5FdL<9DSbq4-0bi=zY`mN=?5xn9jDibJx?vW*NNa*x4J8GSYUw$v&m5Xpg;%ZwxAe>C_R?((hxyMOUr7n zVFi%5^61N}EMc_#O-LISazI=>zv%7L2KWJVtZdJz;-Q5-me#yzzZY0Ek0VH~Uk43*k6W=9SDH6F4{K4X-4#@C}c_2UC!DVSy;wT8+& z(YANX+%rS4XYP7kUS$MtwoOOdWKI&5idzIXMzW&xy{~FYViH)Rcc&>!Q3opbG^7S> zWBiAiPom`4ee0(DO!*tS12-3|VanI)k70FUXqSI@`Ik~5`QfYAj`SpHsNZ1IMAMUi zi}$rZKK-GKrE_K%-%K@;b*i@OcC8l0Bo&VvV$AxWqFYe%%cYleby#N~)JVsz%DrzU zw;Eyarqr+g1BQ6ZrL6aXpCZQ9JKTI3Bn%mAwpTOn6$jR)-Ew>G8Q?mL8Hu4~NvOg# z&-XPokwry1b1}twAb(W+{;fc6sNAcYU_2!R)$308rE@cb6Zg|kSG?;9y710}w}#l! zL1^C_ysUsbqPp&w^vS~+|B~f^WI6_2+)uwlio@nZJGOe06t5%Wq}qU+5X|4xQQX1H zje*B~vsyXmaGuU0*W{&)>FH-%SKSnaO}>{e{uQTuxA%{vK?HSwbyP6WnNWtnbQcYu zvJT?b{U^dLJpTyC!;oOU3s>YFS$pPP=>qtIpQ^BVfW%{d{6yZp* zUx&?YajX=zeKNKnhkCucWGp8szry9y2aR>KFluHbbl+w!7`x~drd0of_6h1F8t5fy2)wRJOc=rY%x^Lq6dd8)m3{}kmH5y;jM z`n;AE*uQ)`WIZp6H4mAD2K-vdM`x?6_*j^*-_Mkr;V215b0trI+)js_zs_6qS+ybY zeEJ2v-ax*+dru!;gBJgDK9S3%3ALyUNyrL6}8P5z9Yzy4GSA9Niz zI$8CDFnm#En;oSLm%kM~+PX>=v+kySYBBmo43~t;7_~{kq|b~`Ms^)x^~vqzo@Obm zplg}hSV@3o#Glo?r7~#Mxh$;thk<#OcM8wS%i|T3W7lq9=_S&3Xg#B4iGhmpFV7NJ zUJU)#yun?90p$7B?l<4lVVma5@9d|I!Me|WDmFw2SME=A5Tw&_J^(99>lI=BR*sad z0g|X!vrqU~q88ln{jh;cLIV4XFC? z>%{D!pK&trsqoR`d%yFuubM5+&kzJi7v|Ablf=XFSR*Ax@7rRnJ%&5DMSXfSvvo@|c9skMt=o~q_*`njJ z7=^cus`Kwvn;;rbX==xFsNr+z?5OfVIcWEIV<7$dFLCvokwNu+e&{&q65+pdoX}vl zcwzI22ao&Q-L-zRJaj%-ec~NE9i>8qFa6jpf&!WG`WIh`qE$$W%0nRmSU9QTMzpBn zi&@9Vl2I~P5ml~jyLph19%VVWwse?iaZG+h+o_A(8qWRJ-^3xClS!}CQVj*^cE0*@ zBgBnv)w5jk$`I;n)VSp(#UF2VTFH4w5*vpM9S(nHg4c||eNwFQFg|-KJ)lbyC+(}B z9Pksx?d~J7(?h?>*Bdgjc%12YPNViSzcLR-$MdD`(%1dpHlNtpA2H;D#rLTD>nw!o`Gz?wMK{2r+Iuy4qR^pPHAqxUc(3$a*YXZQ`T>Ge2Kb->M$c z#5i`Jzp)%1HoGM&6h`4lt!Bk%A4q|SpzzvW%0G5nfvkzrEI%lR|5M#mD}z(#gJx?k ziGX@_`!lHkCcM%iJ9lNli-GdjD`*X@}3TmNB&W$vwZh3qxJ-s2KTMUkwU3_6k`9p9Do1UAbtHF^P zm&5C)g^<-*h39%Q1N)P7a?hWWhOtKzDmT-0FsJ4!6R)uvEL>b8&_v;l1%-1CPDXsN z_(_7{X(oYs*;mdwgbSisuh9+83zDeBTkGaACWVb{&tvblP@k*wXy$g>H$wiI_SWOS zxM2&^_4_UjCI8Fu!QIQjf-5Q&A%al3;wsDq>#nZ^&lmH=iC;_CA(a&$_#97g^;LqR zRd28V7?8naHu0x3&D0!_dVOZCHXV}>3?8~MMCk*crs4|Me?(n%%d<-t*dceA<8a0$ z31B__FQxN`FuE0ZK5i(lBdYcnsCWre`rd8EKB&} z>qLNEJ#h4P!UVC%-kdS9_BTnKWcFtEVu1ROe8bEC_`p9r;hs<76!~GziG!>=CW&ta zJX>;B38Q_|yJ6p$Ir3h{#En)H8F+ePxR{B5fehZcU$$!XG`XYu?xuobZG16i^K&v# z9G^}GD(yVQ4s$0HiWBU(C|q8*QO1hf0IvN(!Wg%(@^5veD6swSx{1LFOb@!1|MQ+ zzgN7~gYzu=diUmxko7Ub)+d|7F__D4iLm!w}S@phpOJcX=9X~={Xdew4sX4*pdkSEo4Mko>qLN;W>kHQ ze~>`9+m{_c&EMY~}H_V*BgvW?0-=BRE&R4~k;r23*)7gR3-a_!m)?u>U z=PEV}PNI~bxqn>PO0_bBcYjKw1W8dC=siRVc z590`F1vk!WVsS&|2a9lF+|$!v9eYO=1D%Dg9$LyH`_s&7W+Rx)?Mct2V#294Ew9Tt%$sN!AvY5OBu+a3RU~Rs!-nHQv0Mw z5VT9&PAF2yY$Eqoql-(^#Od&J0^2qWk=xEk54douVDAne=Q$oV^g10C5HqcYdbLsX zBZX9bTpOTuwdS)w1c*EqzOI<+fU&-P8K#L)4jZ~ zKqOePX(@uz{bl5;2KJ7V3Ei$|k!KKdHd;g;108GaT4??(nuyDo^=;R((I-BYf@U+F5eT5x1hvJO2>^ zV_dY`7g+J^mrGU3m2@cjlhbA!r-kpwSDj3KBLXW>{2xGlb=|=?)O5gE$&uwn1 z4z%*`JyoLop}!nAOUge<`9CUjvMAhB#hIT1QsKjMWb*dJwcn^*i}IV3jQsV=7<;DX zrzwMu@g^&Gt56lU|2so$xSAdP&NODnbc%wJ8jSMm%AsFaN8FEu4x(^ z%gzNi6e0TH6vqilzvTn_Sg>U zZljp^{g(73xqYOX`_Qog;`JW0+04sQz$kuY#i^!>J;6F0UbV`QJoN4KGUYFMo#|`| z7oRY&FLp(y6i8D1|F=V5hjnoJ{oeb#{;{Bik5zx)VOIFQu=#@&H9vK}`19pEw}re9JG808I?V?h z)L^*!=3~+7e!~8#zyIu`PAIA`DaaR^L|lW-dJfe^GpN}m|vJ{k!ObEbq}Qs6{z{(fAG(D|C&o)M<_roz(1ph?~VJo(dMDei(iA{V0G6=PHuw^1{y~kI=qD$ zf;PJ3ZkW?nEfQal!wOy#EUcyYakpuu5>^Sflz0|%*U3AS9 z`5C6I4r9-3H^rxw5l#kQp2%5#CT0USrEl|*$03s&UVYc*iJb?#U%q}KjG-FmM;}o< z?R^0od;M-GqV>_2<~Ij4F(tAv>gWSGsIw2))L^d!TZ*PHt{$5q|333uSZ&S@J^{%$ zI+JHffy_!90m^5A_1$a1i2-TYC33#4yHy{-sadW`j{!$7IXJ2x<^cz$fIV62^CZ_~ zOtiAI5E#6_#p>s)53#;+20UGgFzx$PPDxP{<76wY-Q1-GU;V1>eWzq$m)1Q#`CBwJ z_IPwdHCzIYt$eKfPeC8oNdI`R_pOn*;M!JjYZVhzm%LtM5=h-S%S)t$#bu!F6N}z^ zDwiqa2kcw|2^h|0^FDe?1zD>KQ`?VlVe3Y7@sv~sP8voW`4P;HX%EMp*)B<-DA(Q2 zoDf5Jt8t&PVn@FW5dlfjktIoWYRS>t{;rb#_M1vRy&j7EzePnjplZS3AxS-*pYs0F7 zpXAK3_=_E(iXf3tW4&Y`j;Gh^iEh>qgAJbzu1ryU79Rbt&qL;wkWJV0=jMCN;M=$q zA*Cq#Kdipv_za${7hoW7$9{>9Jb9eq{+>E>i3`;HD_8w1Qbh8R=}18%6L5+}co(RO z0!?oFZyU>hdef7V6!2<*NTBi1 zZz4`K?Sm&6;W2ryF>lU!Vj{q~k1In0VoS4n^JBEZQ#3cn`z;^dSCn-Mv{Hko4Ij6D z7E^~yQZc2^r<#cRNr#1P&ndo(?dKc*!&I(QfJ%nMt4UHxCaYieyrJ=C-{?bF~s-T?DwJ+X!|j$i z1DgA1gEjB+!cZ2ypnIn}4#n7Us8Cce4>jznD?rd!y7(r3JF;!tm?5`7b1k?_(~*wUb1|oAIVcw;8zR>su|eQ*yX9 zC0S&R1m$DpQu-&lR|#$ywR3DV*T)AADHw3r*Z=SsOlJCSoyYf*^bd<#OpGTxj1THxfsGsGgb$;?e+;~)0+5jreS+c zkR&W%+^_AcIpLPd>(p(Oe#mMhlN(Lzgn$(*F_jCC}|nTTy)6P}<9@O$rU zEJ^-;USJk}q!t+<1v?fgSVE4D-iwzW7DP%znohV@K%yuP%r6;nTo@yGmA;&5*r^BK z)LHahEGQpJW20v)D81-y?Urw54~5YC!U^!D@_z*{R_}^3S|;jdY)k{6(6R7BJbVvQ z2H)@_uViAlFkEZx4|dNH@^Zg%(jAW~GIht?+m$kXWxzX>E!BgF6IEel`MS`tP0Y>4?XF6yfkx zZKUmr|L^-{*1!%`hLi$8P_5YHs08$V;BZimRt8Vc>bv*uDpGo;+{baX%y7VJj&b|k z0x@(iuzloi6Vd5!UT9IsPvw}KtnG$o!qV=WTJS|7%D;LxmaSY7vl>_usY@#ia?c+B zNxk0-{7&)lN>!xyiCaT7MIrdOO*-zVq7ukRTa|ewiGb3sR-M}I{Un{^Qqa6JE1tOW zLzm563{qNm4QoADgGk>ER)bV7>RkMt*BdE)*4Aw|11(r6|AU~qlx98=h&t}RqTNm& z_n>yHR5f*9@PO^=UaEMxU53?jSPJ%Jya*Vt;YaBhqj$kEEO;XKXXO1sRkS7#C>@NO zBRSccBIY;IMIsrL5H z@|Y&aaHpJq2Q|Ols^+aJ;>KUA$NXy@d&wHn=_@YwDrn=F|D?^93%Y{MUr$yFg4<$c zwoKgwA+mR7zf`Ugwx_f@eB~6uCXc48`OeJnI3bZs-id+SvX#tx=4A2jR;lOG!6Fz~ zkQzrT9UyNeC(|pJ>d9FD=Ttk8z=sX%=6K{r$hX4=QTk8&hMs{+6TzRjp=Bkql8peN?H%n)R4N=UI4Uto%+&ZxXncIiRq2X0i zH*BRKk2jfx8(9&)D)yz$h=68jR7S~BNetx>Ws10_3ENJKblu?NLARyFdKzt!oG)DT ztl!9o&WoQ^-*D(d+_NJ+w^#*G@{aqi2m2M_f=1BE)wu&?z;%x_M`=Yg%jG-J;m85E z`ieJtKGDRgU(Q9+tTb$oPBCA2CxSPa$wO6JIZIo7*Z=GLrAE`;;$694$nnM` z9NnXe$(uFQ&Qb3vo73N;PV1J4iq7soJ4)GcP3hFD`hOqD>j$Q)cRI;pdB;OW8g++$ zQFg72Z@7tgX4Ce^Hm{agldz4J5=+OLQTxRuwhSdoJC$xa2?f%n;?%S?0@f7r3^78r}Cr^NT7~C z?^_waZsO`6p4|agq|hK_anJpm6d$PTu3kJt3Y+AQWW7E(O6d@Cto$`JVUR!%by z8q#7!cLa!|P36v&E|C<@XV?Wc26FJeLFajxj|A+RR{D0MNEsdU#Z_`!<#0-7Ch^Eu zISM}}=SIJ>!EP~+(C82mEXfPnf1-y8)+!q9e=DZ~5m#5MGXGM?Yo2Dg;$lo#TPEcy zSx1M#nfRy&m2`ZlZY*4`MuSMl59}NcbWDr(coS#0Omx@Z-o!)c8LQj4Oo~^Il6^hg znV#!e;T5}Lm(;1(M5>y7H*FJ@ccnfatKZ8&{}P)MCC^l`<`~P(bc)xdTsyG;P?-d5 zt&L`@+p3QI8@WGZY&W3%C!Q>=SRn^im#_1P(Z@*(``^qfA5l3g@>y<&6IJlHTch{^ z7Bx&X4R1~Cm>|pQuWjJF^PS+_R@}Xg+Ux5Fc5N#)Ri*rXm_!YB@?*}=i>6-Ey3k`J z6f`1DgY#!T^tj%qgL14-PA7*rJn7!nSMrb(e{-MtyJRU2bp={lSNmm93RMEOMK2Ow z>C%f9vGOSVdgQgBr4lt6iUgb!P=t2_hLZCB(*KX=lOu64-k0C0U^UHd$xwv`gO=Z8 zc9-T7C`YUP($9&J+gxRGY{X&fJ2l1i6uw1&c;WmU_dmk2t!ASplNd5{Rp0v~)J0qh zdGMEYi5Wx3UwkMOP{7H<3BPZA6ax8N6WKKm%jB5b$TSb77Zi^|0bV~&FmJwSXyM5N zIU$d?_H3qO)4u!e>$b^)d$!cZgo|{1?QG7IY&%c(v|FDN-ysQiCQ|=qdn%!np^lc5 zp#&O;TZanSNFuZ2O9$!NdLsVzyv;2~MGX2FRetiXIG8)F%T4(rhlQFeeQuaZ;!}q$ zA?&Q;0NjzIZmwNK_gars9>qyQ+r1=5s%4po<67;Fmy}`gN!BXYr*Fv9d^)@*YlJX; zeT$1R)n7Q0EzT|85r#tN$i4GQhOn5bp{(ekjnAvDdhc7$g>fH0aHT77gGoS()m-&5 z>6zrd`+Rvv$B>`<%b-INkF2p14PoH{)p^b2EN^3w z{P~OZnSumdW6Kd?t5?7)tXH_kK2dm0`#@p%oEm<*T~>GTHY@TBO8TeEN@Cj78K*yM z*>So2QDv;22(%t?F;Zox;h2%FjW54A8263bkU69VTIEHlH=XGC=wy9rpd}xiIM#Vq z)`x*x)(O0&4NBr+^8ukPP82R@PLGdsQTV^zFL$ zZA!y{oQLG!uS_60_~O;x8_IZ-r7?P3P7z*L8+?xl|4SI`ODOs+@QplC$IoTpEDx?h zHm}uXC1B&=D#x4KbRg8AclQb8h5CIVFOPT%p+WqsH5`xGL7^sLU{A6f+W&C7S6M0s zVXPZ}d`?ltC&dRMY!3_Mu`5%SG)P# zgdx-|?o7g*9=2%RF+BZjfq0m4qh6s_6c0We$h;FH0OuckNIVPgt8AW3=-~}^#xTFWbk8A)cdb{6!FfD(t^;t6u&dTQAl(kjp|&_w<(A^+TH$KF{c*eTdN{ak5|{5uuJI&*%2U~>yd9<3fE z3YVL&W_+F@cJJQWJ+Xe8PzqKbN}m`dF5TyS!EQD{nzpR1+VtP=2W1tiS?=l(_weZQ z(v<VcpAdz9@I9+*_mMO*0&R(1Jisw| zvNFD24A`Aq?e1OW0(vxgS9VzyO#C^d)+eiAu+SaW`v)i-@rab^&RhlT2tKi2EJYo* zKPj&566b`T2fSWvHKSzo$nVh|Vj|cYthKoJS{E_k%Y569;dpyM{6l{Bu!C8^ z0+tfL2Cu*5$L&#J=k5s`Ktow+$*#L>c-UrFa7`T>MxVMBex!{F20HhLcvn*SlX-Jp zL($zthG?OsDXR$TP6*dqP<=e4Pa`tv)G~Q_b$tFQO0R5?u;`ZBBoBw|<_3fk`-s83 zq7li`GjijQ#5#SRgC3U zls4R0WuJ4L;wSXzB&U986^1nT$|5Izc}VwlDbq+*#sa&Qg8A2FK%k_P{%>)Dkes#6 zZM9h>#u7rL3!Vz0%w!X1cq`>&mDF2uI*J$khW_-n8Hs{L|C-kyod?MPi>ADf!3rR^ z`~0-!Y87nxGqkx&bBRbEyW*m9M9#YeW+TDdG1bszhQWDCdrj39c^X_z(6;#*2yE z=60dVl3R^BKP>wz7MSt6?9~vb7`?e#-|EXrk{>5W$+5_IrK}JO_<@iOXmC13F zGbc8e#PCwytKQtVfy`TIcU6Bc#3?`-zV2TlrovabyHj%gDeEzW9~E1w&LK?^3mhud zoD{5-(Y1BGy-T6;-lvY`s&>N_HC6(GJ7N_p6QVk7xuoY+UhdOPb>|VMY&-9nd0L8@ z64>gxmDjZenHk)VD36sY*Iuy#%S*B@Le!3S@oN&43sKw0Yd^MBl#Fi6dr!t0hQDnYiqz!^&%iz@inrnhe;%C1qNQm}tvR(Z7+#qF8do+S5g*qA?Oz)?k>Vp)G&^~|Qx3Vkiws^oj*e4N`S zd>lS7RTeHf%5S!qoR{*)M!SUS(TZ~Fp39D>-&A-kDIZ_cJ&zJ@uKdE7oJZuU>TDVL z`>(NB)_7lPj3{NPovZ1VJ>wO|Qwk>stEDO*eW>3%5;B`|ZdR*If99u(y8#;#{SF9I zJj|beR{tnQX%AE$KUOw^1Me~$cJU74D%XKk6YEQov-*0CXV^ru;wnAin= z?qOB`ZTruiBU^-oelFk7WBIvY;{SDWaakrda+Q^hY5G5T@j3iFo|Q?AiI4naTIRYU zDj+aO-+JxZh`^9A|ELv_OhV*!ex8MiNsftynVFev!N0x!wEVg9^LqbwY2JU^_2+-X zc7k$l*7i=nwa-ufw}#pOI)Fp+=No1=_FwC4D*{5-98&u2CVpZXQh1DpJmCe`P&1a{kD^dPxiMP zU?&?$p3c?Mg~}vK?)xdQpMT{2G41dDLbLL)w_#%cx#{P#3RGpa{O#fLF!7Mz8AWk~3<1*C&WK4}#gN_qM6_2nV&tZVGDEoL=mldup z+kD4Q&tQh{|0uedEq`DM@K>aazY?&)h3IJ3`mI#lnm3Yq`m-}!=m}y+b8MhFho^F> ztp(zy&a~SdQ=j4c5Bw}=n)YW2968LwC7xr32Ql*8MPXLh5WU=wwZjfgdrb??jhs-! z6Wn>6g^ri03z?K#tnoHIK1@|rYliPXi*V-MA5a1YDNO~B8YoC*nz%Eu*a9rAuU{^_ zWP>Y8Q4!&TR#4piGNbgU6Brk5?%(Qkg0iFiXV!aEe7+FcqTQ)I!}lNXna(tci7DZh zn$@9uX7G+sh)-$T3`;59i>^_M{J;QXLrqxd|Tvb2Q9Q*Vv9QM^%G+K z)+mZSKiWdINBOf;jPW%t;PG$Vxpfs4)cjlLk|t;P{?{eyk8$UsW3+YBfhM^6;DlC* zrYWdhW49%gDM%mQYuCHm0*$7!Yc&tp;1rvO| zUP0U)CvZF6J*{D-73$kOdF9k>&|pz>Xr7G?maH*5P2FP!{q~kSPV?*#J8w+qY>5p@ zROi)Nx;S8|TYvY;9v3)m%VblyL&b3S+3+yI8NUDJ!1_Di@bQYLzNfDm!^7LmIcb>* zhDF}H2|EyoXq&~z-e`{MIh)^BthK?9JMu&OJ1sGHO>Bfl6%_$8=k=%^R!HfS%nEO` zgS^1t*?UtqI3;&NYv_~%3I#KW3>{Z&Am_4m^s&X^>wDx39cIRN{?3p4U*_`KygOZ( zLyf`Ouw&m!n1Ds=Aba{lGnmDFZ1Lr>#MJCznf--U$c(h%e_TfT{XAWX+>2KDHZN>8 z>jN9umECq>+_gr=QK4&rEA7eB9(hAP>!@h5iS8dd;fUEb2V4vfx2BRKzDo z9{2KL%-ARYGKBqoZd7&3Wy2I0H*NYpfKKixzH znZhOXSdsJ-QkRUE)Vm@mqL%y3EEnL%?bCJs`ZIk0eIENi{Z+r+{4nPw$+dsSxnh?{ z6XfR}u-dlS3>OHdq^+J7(DR(W|Ko!tS{-%v*3??Uh$H^A>lZ8Rxu^PLhl(|(U+pz> zSYm^mj;vE7x2WK=lZ_0dQXzElbG&}I15RFx?pkkSi=$Uu^laxkBe!vx#Vc((mVM_g zi1(+W=CU=tC49#J{Z9|t-}naiicMNLIhdd@Bs1}Nr3t1(2I3AKF~fp+3Ms{*6qvHC zTJ*!h3hkCve5KQtzw2+;v_q8|PplEzC$)B6wKbfHxAu)HRFn@<_MH_c?df>KffEY0 zs9Z4BW&6kh_lpOvTzz1RL+28SVGDO~uH>Ofdb+_c5xq|&ZILc-&+;;ArhoZ2e*FKm zmuu(_JbkLr1g%Ctv=1nlg1$7h;@UGa9Nzyzt!b78LaqzW*|x(Hm-l7_K3ijnOzRKx z`y{Nf)j`Q@=_)Hs_(y!(b=wB}WlbzUh}vM>Pj$@1*cM@u>j$#8+QPQgK<1089maQ1 zQsmY+qSCzNdOcU<5L{ORHice}*a1-FNJAT9p zs&9gfv;}P--)h+YMc5h=2F4p)PEo;|^G#bK$p&k$Uo`4Bv;%w1+7mV}Y+>iYx@EDc zJ#O9@*iGqnK?0Z1r!UI(2)>`brX}7Db&EaBH0QZN>&B7yS8c439=K3MvQcBk{{97XA^iL)vlUuWPxSriN;mCEs+o%^Qu0?5;tFd zU<>!Q#;(V^lytnTFgv0yr~bPQ7M=7?d3n|v!-vnzjo5ArHo^BBb}5qm#%Z;=eW6z13DtsHh$1@hfteO|GpEhc+Y=$v1x)8 zVtdRVGikIX`<<) zmQdYfl@YVq3SIXN(3wp7{hkJ&PjDf}X|6E&9#pgjtH&9`=anSK`IlJAgKUtvYw7ky zYwQrX@Xq7IPpJr5#>LHK>;T*TuG%Fl9dY|w)a><(9Z~pVYqqPa6FT;Gn(hj5MBMX! zDgC|fFmRUW-v(Ex8EtOSYOzEV+d-wEIMo^b{nrNKpXB`RW?E5G?gW&EGg!4R5a{54 zc5u!&;8bd^^`|roywxl`%TiDJvANPPtJD%3XwDC1ORSNbaZ~-EDzQhlkg1>r|fM z`=5lrzt(LuMA!`)%m*ls0*?$P0JRI84^0;Borqg%-ODgvCe8~+IqyBDRpT5Kz9u{tkACJGB zD*tAWZN?Lk+!~d~%F8IEUT)aA z*EQ^;4Gu`8%x+t33k~7$J#$@b@$9@3^Tb^{yze}2zdzLuCG^jU@}^FRd)+!eIL{vX z+m!|x$DP3RF74&L76vxZuazQ{H+i&Zu!Z!>OR*3acv@;ydGMU@6x-QN->H z^@Dzo*6jo88t0`ReXlUX_dhs?f9dAGk~w?NO4}SaMWp42x0wH)&v=2hEVReT632Km z4aLa3nK|Da7ua66MnhJzTYaK6j^^#zFRnnvE4@VPs5H{f?wvjOp2HT8E`M6>p=gWJ zM_qkt5_VvX_vrEVB^}G1dpyGHVu4<|6$^c zC5uMw`0E|9`p!<}ghp40oPIwqX|FRLs;KR|bioZr9~)hc-9rOY?{I-(qa*4#8}5cW znL%;!(6Tduax;AYr2+W|J>Tae8NnPX7Vr~fy{$#Ffc2*xrD88FutPjgTv^TvWA{$J zZ8fn5lf(3#>+`HJe~s$Yx?UUfMS3-#3bBE#=DkVFhgA4@PK|UAQem4JzVuY0Ex68k zFg9(nLlR+@vf?b6XX7Jz@8(B)-01hKDqru2^QuvH<1&ue(AxG!Bf=5QO@=p3;+-(k z60^=Y+Zn4USu%G4YNB|7H=l)l;w9nJ~!U&j-DX3$8R>%@Z#FM+^R$e z+!0t3kdk1GU0-TTLV=2Yxp1B{Zaa~4e0A*V*=uAu-fo2vF0@udbt}>c!P>B>243}<886zjl@8dj~#gS zAG7fDw!_ec>jFo9*yGA8v2EY{?BT^VNr)ypV(GP_ie(!e!1-BaGX9MdE-&`v(IWkR z$5VAXH$QfU(0=_zuee>{e)oE3(ry=M$9A7C7I25|z07L2i!Nwo4}H4Pm+aODSy&^Y)Iu!L!RB|nI(V?STA~Q@xl}=DG`^l(9@)lcIpWSh8Le~!8 z%i0D<v-?eTq#<)A&ABg{5T1RZg6#DOiL;bNLjFg9`O%U|dS z@hht3nQxsT`nBu1Qh^gH!d@PAP;y0!U%t*#sMPchHmj>v@V@ z;d?^zUD#V1?%zK6t?#xw9`04J=O8}A_dghy|F6x}-n;(0 z3OSA#SobM*g6tQv+?0^qaLWqP&KmmO=dFL$fufQHelu1(-KD}rU?BFUJEmGrXhb-ssHEU1V<9_=0B1ai}=zewmS|s8Kmdz5Z%N58ts2?4E zFV;FCuO`*HL&Fh5Wyg*43!G7&{V{FUHYe!I3pje-cL59YsMlB)xqW1@K+_^OBu$%c zc42qLj?T_SwtDW^bYgw~IK>^EhsIv8_PAkCd=B$2T{`&Y>kjF@BjZly+}x0zWQ|$W z+G=eh9rF8OQM`PcjTzHRyp->HXWRabKKw>6H^U zxZ1rUJR^+?^Gg;&p2<{1eaK3`#c79t&o0)=Y<4gx-P9Jb)eeSgj*j2Re6WtB)TLYG z?ZGo9bA8W82heu6S|(~aU`sy#Cc9BbY#v;&hPdO1suFc=%~wunTKM`!&><)6-fs9% z+1>?`X{&P+N}O@>tX`^RDmgC0dLS_MkqbK8gkHGMaz~*@z{r;;uE;l#x~BBn9ZJuR zd5O{8(ah&@zP{8QYMhd6o}j}v_PNSnn+x84ZU0(oW{Kdl32(+7G~gSyGwG19@C@Jo zAbkFBoB7sj&C-@T);LYsI!gU!jjv-XqTbMKP`LdfeUBy;Tdw=wF$uB7K-#sSmnwF+ z^DV5QQ^XDrw=Bq zBgY%}+ly@-q`Ef7vO*aJQD^$oXcZc1?c*xuDZrIZ3_2!!o4LfRYbT<0ABg$TH ztT>DYznUY>os%?32{h~Uk^Rx&rjnTPk{2zXt{HpBP-7Mwr$=W@$-TnasB zgAbftMwX9l5GXb!=&Vb{M>|I4dm~%;Px5$Kso6pOvEPTiWL#dLV#&kmaC@w5Olf#} z-X1bLvo2hEX%Cf$Pndhe9l_cDTrTdQ1ME`eB=cuG!Kbp(Y0f=I?EBD7S>NS^8x0F9 z8IPSnBKW>|y)!hU&R+Li;ezWqxxHGaT(CBYm)R-F6_+x0wKpAgMNetB?#o*w&*P%0 zG7sJGAn<4fJlqlClA`T@${j2h_CMx0?~eQ3at6=$(QuqT@@(jgJBr^ciN)4P4Q|v72iys zjzy619dRrCZDCN(74ow?0Zn{P0v9qW89^i1p zx@gz#`Kw&vlr}5q;glN`n_R@!hr59|xTip7pF6(lR0a+jxkGxpiJ=-R4PRpt!;yBR_<4Vo%wksb^%f5!nx%x@PR0s$_?$$H&xI zXW3&x?6&O$vjYxSFb;IGJK#{)+D)tQ#wL*BeBOH_XUO2@$!t>DX;_Q1)NMk$> zY+g#%JA2>UBa+~ZZ&ruSoGo*P>C*hzkCHBkI-RxiLWm23Pc>a(Ipp%YeNk;NYPKTZ z6)SSnq}K?#W5evlPTNnpVb|UxW35Nskr3w?_?qetvB)^<2W&Ki?A!b@yUZOrA~l6x zM`>8jb8i1O1sXXaCpJ~YBBsPw3qoGvRxwR;dhS+Dh>R+d6V7JP9{Q0Oesus2j z6XO;*z-J~Bra2$GrH$vCMT&rZ{g+vx7yF4n=F^&K)qht4aaB8MBUkMZ(`XeaM&_08 z$<}^XXJilOWUtCJlIKq+p6i_wb_91ZFMt0{M`+{~m8w)bg7Si|wA;*yoM5-B#X-jz z0=Guic)us(l{A@|R7igRl*jmd%hMZKIixH{7(^ zGW}f14RX41i{@Fn;~ULkiOiTAa*8z6&Kz;a?g_(QuO03P==mDAV$vNQnas*%L++^U zYvYVwPQ#5xp(j%0(mAVU=j%75{yrVsBx&fp`zp2Y+?nX;ql!m=qV|j64hVTC_NPn>7 zTw~JnH@&mR_G%_W8jAyXg=)4_mpR}x^VT*kM@N*srp6A;bHb0ilnr+lIHBmV!rC)r zp5kpz$-BmEhLi#IAbyQ6=DegEe?cT}yD-FD%rJ4P0s z@Yn1B^|)@~)`2Jfe0YJf5^8^{?is=h|wdzT{wEusz8g60J!`_hq_c5tVbFI2o6^ zGqP*Gsw5484aMA}>NI4=NM+tXMg#3*r4Nw?D(z6#H7vl@``h{2-XYJ-MovQ^6* zeI*akN1cZ(s<<&KsCREAZGd=jLXt@*zkP=9KM247Su?Jz_PWwj=L`>75lzEMXQ(zL zlm&T^`go3x>sm2ad?PyI^H|+Lb8OX$PIAM&FR|h^SKRP*=NP$-T|5=y;P@CN9}Qhv~BAJF^Q&{v(zc@*exM zUjI_N(W&2p_RH>YMcviK?w8itAuY%5ZI-b)=1kv9`QE366G7j*FLz4ey!pKww`NZg z_Z?OgZ@WE4#J3kFT78+(-~Sm`fA8%DYKz@&db#4vyrY}Mwz$H)(D(3xI#&c_o#PcR zaD!u9a#%Luj=|1lw&zKIMD#(cY{yj6&o=m0^F)t3?0--%Mn5P0$8&azUeKoDOPT$< zUF5h32kPFtqV|gLaz8TfVWYx=#^iKz-iEs!zE7+SFxN-wNZA7=91~0};ECbJ>|0y7 z%ir`9Q*+-fJ;LZC4usyOiU!ZvoG(`8Lwzq7NWA~OUs`* z?!FYK{(Lpb>u0Sklcsd6HOz?iK1|2Jbdw*M}8gbq5VTo^@+fo6`2+dnWf zU}NAkTV9_5`X(nXKMw{HE3QSXXE3meApC+3FcA2P@5^)q12R=l)E}lYexK)QoV%fK z^L7TL1DBq?6UTsif!V%qP7DOyaI5|7!hmanUUOL;9ZWfv?@MLr$aSlGU@_{B^S4Xl zSd(3mt@UbCj)Mc_M~~d|;<7>Sx9mF`3rxX0@!mM{gci!%F27rILL7^Z=OqqgO%eyx zc&|Ga3=>MGOZ1A44-+ERcf~%%%=l0KJzsyX^~*Mm7k0jK$E_#(xC*|xBfYR^G+*e? zc0&5Q?Y4UwX}ET0CDRg;+ejJjs{JGvTpkzKmd4W&<$I`JX$2jLvlFy6NPAW@deL2( z2|89j8_CFeN(bXd*VIc(29EHny}e_{z@p-POq3V~1Zqw1Cmm!Ux6;QvWE2 z;Mv#TuC+5@!Ymhh<~jpWiz=zAdl}%5dt$yXl7Xh;!r0cEbd2Bs@<8Vf?N^;Cces9x zn#w2RUN^RB-;Eo$N8ogZ?mIFcC?iVpY)LHeC3T0dLbWd1cy@QPP~_m(=UVk6`Urk0TQf!u+U{qIS= zJGuEzJwf`(MkyybSiR^t;#sZ2T}A(uH$#W`NcPT4d<-lQ-f)|npMiA4oR1c(8K_(K z@$L6x41`x^IGB+7Qf1>vq1pfg(ds@c-AL|q(l;FG>|x-Ehpu)P#RCssP|t)gdEjw# zvhfC*2RL~j>Z!zgVCVL;-!eSO{d+EYDDCwC+at*;?D2qllu-TC2oDsr#0i?lctC27 z+o+a@2b=}%CnlDX`wv*#no>OwsLd{1@`(YTXLh2CPB5^Wv3o?slz~S}0*4Nhev{dA z7V1ig(eR<0xlC|5IqoA85?EyD49=wd-BlBIkjqdpr+v4^l*6lqXPSY7D-MVgECy)k zTD3x9tuoFFQ|I)_P7;@5Hocwt#EST~>WX#g%s5fI`DMb&QR3{%lh>?v^%MQ7_ewK` zXZZem;VmfbxNhE6It=p#WgH&U5zb+JEdB=_&2OmL?7j@Vx#_aJ{|W=oRyB=Xs3h%x zU)*f_lF(IX;{n-MrvvvId0-xC1T@-uz;D)zkf2t@=8))tQfov0BV`^C5wMAG7;cjM4tb}VF|@&9(d71(`a(@z-h0m!B=iFuyN(! z;YQM)`IEi#qDVh=e<%&@lFal*5qD@v8!T{lbOALj-r3uki~|@EFjibf)~{ESmwnS~ zg<6h-^>eEU5FO_eT$dPtHS$#9{BCs^6%SOkN-^WXgQ7zg;q16C**xfPw?;a-anb>3BwM}D`^FuczW@P(%@!KtmbCvN#^y0jDz=? zMUTkq|63l9$FIB|2Cfvn+Bn6@0Pm$_hM*lCOTq>9tO98$Pd0iOF7J+O&StArx4VGC z6nX6aCr4ap9a%rkWe|Cesg(JC?QxDR-pc@dHDt*`s z0U3LCzYq3;W!$ET=jC27z4~D+V2>A;TgxytxOl;EdVdnvIWHJw&*oy?=Y`%yjR~#% zUg&z$HRS)?6OYYGUh01K1k>Vuf*KZ{P@SdOADica{Fhqm)#iENW&VM+hlwChe*%@;!?4Uyy#BPc4TtQrwW$Hh(CVtkb|_{wd<+21huU+J>5o+heDa z|MQbesqh^Uzp6LVV5@VQKTB5#i)jwyLzborH2?IdT)c2P9W4ljIQ zwh^-z^+rPfWtP|l-q@wTJl0Ry8=I#tD(HH9gT80}g16Vap`0DMshnIt;iFd@>*9^| zG6M~h&%B|VJoRyKi8o>{UY0Z#@2033ewE9es zlV--b^5cs(?Gr@h_N~hM19&j^;$fbRXSh(}l@gs<#Et`p3LZMYXTj=Lvwoha31WH3 zsHv{kAaVTF_!(}@_y_-5e5-#>br~A-!kCP-dp61Kv~W&snz=VZ4q2_QyWx!+JKozL z?)64%8hg{eL2oRxSyW;w>4S$ggNtI5eUQFZ*5lYwAJna`W(gkiMjLO=%ZV0m1j%bC zi_Y~XOfEO#D%EvG|&Rl;eT9in}hg`bo_oUbz^B;!HTK>T8SDh*s z*c{Ve%0t$VdfBW+?_wqE?tH9oH5s$}y*~FNOW#3_6V~9q(!HlF+7j#g=x01t%&{?% zJ=iSI6b4b()zsSz!CU9?DzbmUuY3e8u%wNZ2|SUZ3Dn)En>1^jBT!_C{RN+{n3tK47|U zGT_zagNv8)svouZU{%Mvun)sNs5&1RU6SepRVxYE#bw?Q;}D_M-}XksyGBp-Bi@iV zzPj{$CuwI$R!v34dO^lEL1<~WCsukE?l4gG#4>}k<98Z7@T2ac%C<~+e%OkIlL&6aGaI?2VK?q)Vbtl7^$}WVyV-lQlH^ zg^Ldus>>r)*Z5!wYpw-N-Up#EX-rWuG*}6B z9{V2c4#7+Zhrt*(l-v$tbF6kj<=R<0k6vUp>jstwQlwW<;Le|y( zRd1Vu$o!A-Wc`QXnC#i4KV$!;l1C-`EwSpxLcVAG7D!p#-=x9*hH(v+$a&^|}@v7sV=b@|DHRbTC$vk6&l^hJa-=<3_3&C!+ zl8^KY7ToT=wew&#A1*2|tuW^lLZofi8g;5L9==RUzP48c{He7T{qiE%EqwIZy$!;+ z;}&VOBu4;KH@P=G&EmxNIm%b_xTcBaY(FGH>g~G`6`wYHv=e?qgX89(TW9$Gf8^V} zN3&R;^e+UBSxjp4dm`L-Plo9^(*I!SeR5Z^7gh%-?{y&Ug_nMFlimG2;kJ2yMfGe? zh>W(H3cc|_<&`_-IjkO78?c~SkMs)`WbJPIevOWK3F@)0rf6vWZoE`5h=%zNA}jZo zlX?gjxChxok2UMfN;1!V z-HoAn7UVo1ElX|VzFOFTn@?0BiqjhLuG_540IBSC4RMtkTAsI^Syc_gd)G7+ROQSQT69cAhVI zCkLZ-3%(J3V%W4L?WFLaIEIXTvoC3IV~cIKUo#ggG}zwIKQZ{QdGghh%VoUyAzk)k zJC7i0Py2<2g@}L}5w?EtjR^TY^tZ}47R9$6c1h_XobccL<1h?X0k(%ObCGkpIq`Sz^S?kbV}^Z3P|#`U&oI9wR{ z=<#bF0S1z%R(@UXK+faEX3Dj8A33hb%33i<#*aRJ)fmqzO8b4>{YcQ!71yoYVD}1z zV@$5-^Ap>%;s%)q=9_+&Z{V?F-Rpq9i;q1A4m-dlCF^3_K07EBsD2eIp~8-7 zH}^?D8|+Z$?mt4#i?G74S@zL^U0nn_+QnAx9u`5q8`Yoht0?j)*RQ?_6~#hH z4Y#fn!k{^q$?HGn!^R4?^PA(@Q8WMaBM=kBl90>HJH)$*uWkJ12a;L|sS_dAwb3(t z|4;EQPYf`MqLTfvzIC$V?lkycTpqDSgO0reZ0ZH;>A%~z6BSq4W7FKQfoo!oNRBHe zy8~XGyhr+h+g2Z4s_Tpf)|zRd+hJGW15cC3wm7F>bMX5< zDh?*PAI>Tu=i7L!#Gl=34VgZU6B%Mw2>t9|GL~S0GS%v?tJ4%D$ymi-yGlTJ;!=$~ zw;8GLmb4vEF~;@fx4)}Sl5wPuc>7am24uckRI{ywElfSz0;8=GAe}i-DWLkPK&@S&wR4zhbTmyiN$_sw@hSaZFwlMb2hExui6vz!}v3oq5%9&o}Nm#=GC!X5FYA=F=GxdSv# zj7?uoAnT(_heHLbc51QB(3&mQplz9Ze8~bUbhZ!_4|8(9gXGP%7E%`IJ=bVm zz`*bJ!f^h$v2UpZ6f7idHMCKK<=kecGz^&ZtnVWrOAXD<0@@O5I zw-_8H@RUUgm6>L>L-s=1UY~m2eO(BLI@0#sXyZdw#gl_skN6OJ=4xqR z7$3O4S}^UcJ3H91!|Qf?k2M$GwsVB`ZsozQY1TXCTLn;& zU$FdKg)ok#_{6U+6vd}@-@y(wv0rfsB3Q@cCHcTZ2&S_t3O#RdL#JY+zW-h}#6(co zvu&6_H%@E0J2*@f-=yW)ZR#WzrtF$#k8dUR_%1(uufKW5KKU;Iza^A@P3OB47VQ-` zPVaNVeO>L(^dx6I(O$97BGM5i;^V=O;K&AGz~L961jdzg+m+aI&7x zc6t7G6|(O8QXM0a1`1LhY|?V+HA9M0+|8OwQ!?(8A@7o5OxnM;4|J3a@l09t{i!?p zaLS4`xcglnJ^U;$79Y@o<_4!G*V!7F45JrNYShX2k>HMb?CNA({{zPzHx(gzd)j6T zWYE|CID}765dj}F7hgCai(P7)zAFZbA@hXB>&{R~JYD42dAU^##(KUK(=;KRJMrMV z?_7SkTJ3C`cS`^pFYtwA`*1^?V|)9VLLM}Jl9{t$ng_MS$;RF}JkY%z(p+&AU0^?=7EMNasN6t_FtCEKVG>FOUv_K}F?;P4N* z`Dupl|Ag;#_b+|CHbvGsO(&Gu$oS(%{U|5B*YMP4>TXjMwV0Uu+?)rdVB@-@Kq=PIA1Ef&E2e7brRLl?3I`=6d+ zS%7;R&+L*uqXLhBf+oCHhs}s1H}_FBh*f%))ln6&O2*pd`bjC2E-ZO5`pJ$eZyBPYsJhMwTh+sA)BfaK{7~Z*wf4}J=4E5nxHlfZ!s5t7j)8M`k0{FFU zs|N+p9HE4j6YH<;jxu;9y$<_6gK*&;|6Wb=oEA=q(g!$`@2Mf^ED`ByFyE@Jr zag~;MsG#us()1W(6}+>HOtf7hhpW~7+~rZS@XP4_Qh8Js{2mj=vi7skIas5@J|>20 zc=Gxm7sZY?Ya^G9B535Omhue}!m6KQ~z1mzeF!z!G#En~6hY#~(RdUnpmR0;X z;C-RDa0}nBym&sa#D;wgUd4;Bvy(YR!#r4Ex>PxMDK}z`x6kqj=R&f>h=BiTPK;Ql zekwEML{_$>!liBwWP~efR1I<9V(F?gdn`DyGu*80t2q~xW{22HiE-iZg@J;Nf?S9? z$eO)NgaiG8w@%jAv*T)nrc#zI8yJF05_*T&$oj8`&(?0|#O}My4g+U+uw|#U$R1(CK-AP|J*Kpxce}1QYJS&LcVwUl-)Q?va;PtLo+wXf*pYa^(N`|qy)z5x7lE}Vbatb+?@ zo6qUD>HM-sHDN-8zP>(38Oc0NF~XHf(3pMexp0L%vL*uWpSPKX{=T=bNn?fGU>6{2#cPi0WgbUY;tyR_>RqhYj@jQ50jtv>FBxSf)=++|gci&*gqu@!|rI)jO*;!wvKJl!msSebUOH*bsCz+eMZ9-q38MtE*n|;<}J*sOmBy^e+ytw%96+=nbC& zr63IPDhfbj1BTCEFs0AOb8x+$2vV{ln~^(P&ik(pP)=! zTQLhoeUpN+D;%$%XzJs|jk#^6&ot4#eN@##bv|}*m~^Rhs{hj4^RQ#ne$BUq zisX1(>ws}m8XsU{)F2dzliw2;)-)lF`x8ocnN zOm?U5V2AE*$BtJj%vgN%G5^}~F(NdsacTGEL1LLE&G7Q(AB44#VuOri2f@*A`DEw8 zFT@37L(WkCW@4)M5Zge16EQb____GY&;PP~FZZMDjI*TtK5r5W>kG%ycP7}u5?ua0 zOdZss{le6n^Uz(ltoMhk3hbrSg)7#`0qe(ouSTvdT@(%(fE7N6V*l|C z(q{$6iIexG4#_PZBkHckr-j5!5s}M9y1t^{5|6f5K_4bDPSU5U&{|o|(-A`<=QPM__Ae<20efS9F2Np9yUALEXNxX~Kc;MDxKWreFO(Ch)YSv>RS# zhO1+3;2T?J1aY=+zZu31g_Jd>xzDGG>tCvxy`9O=eOOj++&V%0*!MvG327&X(z|Ny zE!bfFcKUt&Y;IW3OJ;u)&5u`EO9YO$3xdDIK(l_XAaYKMyvw`53%6p9p;KI(u-&-m z{xu&K6bJRbo)bAiH0X)1h%Oi+g3gRhFYfFmwiLE8a&o(f`E%n>CUSit)J$UM(-{e}POu7#W}*nDScY%g z8L;E=oa)x}B^-DXRH!c2%L@0TL)7(LqrDU zj?il10ixTgsfjkxPrNgIRoFa#kl22bk9C*t5OJ+rjXCq|5b<=DL;vv0A>zGyUUHJa z2(e)E0@uaghl$SmBPUnUM+x|ud#qOEZlC(6rYMZ&+15h;T6 z>+S|l63&V(8<%)Z5?h+po&{Ep5i+}vx2lRv5b=5CZLiJ730~X5C$+aG2)WO*Q%?_0 z5F;F0Zq$ZP5wkCnZw{U<`}~~=-eGdrT$so_1mk)RXFDDQ3``kICGaCqV%Fh=SOFxTirOK!kr%du zcka(3?WYsT+e!;E$={)^_Rh-PQ^ach3j2bz5#p1{_v4M%`iL~0$GLoFKM4KD85S1J zUx~!qyU$#G{+VD)xqMvrZZlC%UtOr+{+=j(R-q7hsGf)^iSRvt>Epi)-wAVVi^LZi zVmj|`d268oET3JRedwtUEO?&GI@B`<9lM`hb5)YZUYd1V6S;o%(UFh^Yi8sA+?>(V zuca_LCcQp9P!OHpIPVy_3i5*`UnN{WXowjH62*iTeu=6Hg@McFqeNB+~8X zx49Sf5d|vL$P3gV;&7H>VYqD{k@)t6;Qe(y#Bchwhq$}qO+?mga(i+4>(G#1A~fau zV`eh{JN%m+--QRgM3P019JgCP5zHsjd*EFkv2OX<^4oa>#ArKXKfl8uk>D^iEARav zaYedlL66Z8(OmOpL{)T%@CeA--?w^%pzkqgnC=)MD346fi8>7twbz>3qZW)1^%FUp z+BAjTlU{z`9?%b6YYG za@!3*S&8!FuJZJ%ht|AUt*Ct>ZVngbm_7~J=gx-x&20tg|XpGozqW9+H zvjH+rYOnvKPY>~M^TPbKr5!|7)AxrzxW5qL8?UR?IX4qNd*X!)G(HiO>{uRm(RV}_ z2X*HU-p>SOzlN{ii+}$3s(Djup5AEHh1OX^CL32>D0W{dS);6lk1li6QwOAxXZ0*{ zZ{J*GuJ2k<6DfzuwC{4uFG}Fk5f!2Ag?yNJ_2anuJ|3(RIsM%#n-hHfAKHd3$T;Kw z!`*v8MfH7Mg5)4UB&irMkwH{2!7da80R;pR6eOsi7*G(9B&Z-LB8rM4Ac`UaDoW0o zBIlfQ&N(A6&({C1d%o#jGdY~Qu5I=GK z%g&z@_;&mxdG*%>+&4AqZX2DzlenR}%-lMq$B|&y4i+b=>DO7HT>Z$gtxz3 zJ$ZN%vnj9(6#2C9FYQy&1it>Af`6wa^^6 zaMw(?5$!9}>~5L=`^J~^7nBMD_4bf_6KWpUMv0RWY7L$1-33XL4>$~cO*l!VOyavH zHf|<~`dFrsUvQBY1{9>T+Sy4ji|I>PjoC5wcv5M#WDd5^ zMB56eW@c}$Nf1~1q*C77f2Vns6_EH5W8HSLPc*|`zZxH*oR^&zP z9l^UgJq<>cVKj=)NZf57!Fu|Bn@5bJcrUs$mMeS|8%lnpzHlFhrMZ87TERFxeN5uI z3EnKi=@*UeopA^n$bavW8-u>Mwc>N{aWqXP*|}aE$2I%m%&?9L-1$|u>wNemELK(o zA|j?h9py}~v1b~x>AYu_iF&WhJwDGa`%mFd{5lPsUsPZlo`USkZhy*SvlwjC^uM!d z6=M{df!}ATN!sUJrJDQcNvUUT9SuepNgFo?Sz3UBxPM=)V+5h^UeV>TF+5F0QhxR6 zqD$2Z7-uGw;%?7_g^Nsa;Pn&=PfbT0d@_dTK@nP!8wZdl8xmtZ-%ZRnpQUJ52NWL4 z#eddqgH;KQ{}H}!99Q1;UOucA6+=E+)nzq^Sw3P>(e%HceJibQR_Tor`6pizZ|u|2 zcW4*sdFn5!NxikCyNQ0>jg=coJzuiUJ(^li5>d?NxgNciWFQi465vcl@^`CX9Fw6S zr5$^AZ%g6|QhEYCc1TQN^s`L*DDxOfzpbk%W*>orzE1}#2Jl``@Xf+PFQkiIiMJkx z-jUj1mUDeLkP>7TWY>-N<^4xaGWWo!De7t6kv>FzmZZ>=>V>-SL;ihqebArZwfefd z2OPqYA;r~wU>@4mJ8aWSwCP(4%8Bd8hR*`WT4nliXI`*}%5(rW8c~8Pode+Dy1)~9 zd;k%C#;5l_8N$|+uJnP_!_e(G@}~CKAWFLDzOC>M%W-hTUdkEuoWR3R8!IvwC()NJU3qiYB;E%L zyWZfPf~%`}<(=gTNchyhWeA*rH(kgD<>>{KGnfa~x>AtNYnILUPScRSI=JgMB)jZX<4KLQR0QHtMSG?Va06a$@@~pSZ zex#L~B&r^9Rb>BKQsGUm;Yaxlq)RsoubWoVl5948FV#p|hBWC@p%>ExoHj1Y*ZYlN z2p`i8i8^cvpXq}E7QHA^r!zczyBpj4Su>Akbz?bl%Wh`gek_l()!G$w;mEMmh5lQe zFk@*s7pvF_Kl}QT3Epn-WuCa*E!&0hAoZK9GhO(@w{#()ufo$tvKvp9{qIY)cHv5J z!~Kr3Ztzg1o#E2#!L?rl6;dfZuqu#EQD4`Kd@GIA^(MWz$a%^ph1`dZ&D?5r6#bZ; zzSX?5xCd?5sq@;|`;g9mN#pFx9>ny=1>Fzpg#*vGjnTJzk@!&g-LEzMn7GtkwUXYC zRY8i8ht@+_tLxbFC}iXxovHr#mDMMk#))`Xmf!2c1lXQcu^0!9L%mX9?}*|!7CItD zeATD1qA=C4d3g~6YhKLE=24QyFWytwbcL2=c5O*)U?V;0PdH^g2S-@BpOjGtfmy8=$tU}s3+NSVSPI)ggusJ?K=oOn{z-f zsRQd?{knUAy%TP2$7s@)+wrpJU}HjU2hN}5J>KZmfjy>=C_Do@v7)NKV05MvJ-pK! z()_!?IxZF?Na*2mBwo#TGIT?2+ujq;guB6+CFZq%whKB`jhT5YU7*@oTfm;tiPvok zb5@z1=+3=flf~Bs)d#Z%8;^E^QfGmzmDmNX3rvfNY~3(@V#2&jq!(}LC)B(h`$4n6 z_e+-X5FWUz)B6bz!&7x?x1;tLD9-h99jF+^ML!Yxa_3Q8Rg_C)BK&+;M465T>nsF@ z-F0PjmhsqmuDy!j>7!^)Yd(;rCAD(D`DFTume4;r$cgh&lftXnhxgA=kme}0Pf$`X z!^Y;N(YYZao_+J7aQNypsLfs<$txd+58sJGc7q|jqs=-g>(B@L&w0Ai1l~3q%2-y` z?0`%xZG!8wW(=-#u=Y2s$Hz9sK@rz#Sc;vl>!r*G-@VrZj~_N*r=O17b&dbH{E4%O z_dI>Uc2e;zyjriioiubPdhEH*29o!PwPt`51L=ppO39g9>?AqwJORr6^rRj%#4;sQ zkYrLr)-Sp)W6%6HICnfl$6%^ah!cVPn zu&5PNhtHVQJZ(q!*3Ro6Vp`$0HAM8$U>h9#$pv+r+Yq=Z>*HKdJLF79irsD6VJ4B{ zwN||YK^v6AwRk$PW7iWKcES%0L`X__^L9ef$ay}ft^;>6AEqcMwPUiqaAzZDJG^(s zjo6-S#c_|uU7xPEW6$%(cLIl6;LIY=7rD6|vTL&7Wkk!jeCvV* zhpE<$wS5>G?iKQE@5B3Tfi;^d2k}dtRYc;!5R&eao3?fh5xfo`v-tE7MvPvDHh51U zclg&h#T9~g@k#p0H?e}Z98#l~5~)a58!Ijz`9MRG?g;CVwV)>LJ#y*{iwGr2Y9VF% z!Rux02^nROZd@SvOA3ny?pgFRAG|8DeG$n3#(6HXF5J|NgkWw=3)6?;>32y;O^Js~!f7&nwaMNk6>&WR3fji~ zPrKRcKc4=3MfU=I{rRn=&$gF>zI@t3(vP$}yZJUJsbs;pKJnfv3PLJsYW>+rO&!L} zj&6*k-Vv{rYw-l{q-39aW@QqG)66|?hz&vdFtY$`OZoU_RUXtoD*t=b(4k<1#$gk2e65G`?tYv)N)6;Tr-qYjyaT! zHGzX-?X!mojW~Jn>3&C>MzmFx7i8Nvz=tzsb4ynvn!>leO1Er6XH22pO>zs&V&7BK z>$bz+BjSnGPQsrHeOM>_yc<)q@7ruk2>g>wb@@eOA9lDrDlYQr$Nl~8pP%Iopv1-` zUnFP<&x8-tQkqPFKGui*^34TY&504JZ(N1e)d0q>k5nYpK=vdTNoo>rU+6xgtCU2Z zT`<38?Fy3X*RC?$TEwuM+#5%tuWOI$ooJ8uQ*egwA2k-y|>a zJ`2e~tN3Ma03~U=Ml)Ghcn+n4^V>pAroq$JaJX)D1Sh%MZuYBnAkT(stoIe+59l=x z9u8~)kN9~{`(2H2Rg)Ix*xZZqQCpE%nw7J8%sR=&RyUjwbHNx}$CdMGYdf4{d zkhC4I1GRxnW!hW=@+SBUtE%epL;eg!y?-MfY=1}-m(_sSZ!ALwPaCiht+Myxwgw#E zlpe_J&;(8$pYnU+O?bJvh01!d5t*BeKGwB1U}^VcS>Dq|_)C7ZnyMupZ{JscPN^Be zN4{+kR;|bPlH0Nu6zZ^zu|w>#SRFPV>`*(WQVZ971HV=S)*C#$#&;5y;HkwVyPhWNk^KARew|5}jVp|?lU>Ce~hu$=ac7w@@aVGgu4|2{J zU#7I`MUM4@4AZN9$dOi`A0gst*Ujl>f>)*?obleD@x~%XMh&jK+Cf3ms8bI}kEJBJ zIt2tuI}vuBby(rP#|lRL4pew2EkcrtS*YA-4nH2Rag#hhjf*8t;y>NufWU!a+!rg zDQ=f}RVFkRV`ksS6vLQ&m_8F8Wn3-U!|GrkIK(zE;~&x_=%6yPr}Q#|>j23sd7M z?k+T++DW2I?Si~;qGf1TD;Tx64D)p~pi+K^Z`tu$q}F(|m=OMs`u$#e(ZCwej!Ld5 zPc(pQf-|L0y$+m@mkZ+zYrzs^CSyfY13NL3LefYbHm|K>`zlw9X&K);GKIA;xPXXSYfMvKBe&F+eezf2F4m9pSDwXk6>?r_VthXgAbt@M5XM zWracqhQ0M*jg(?ezFzm2Z>fck-SgET?;40UDfGtiRzo~HM~n2L`Y%4Og2`w#7eT-f zeaRLd-K4F?or9a7nRC~`@J;Xh75RE1zoV`2ZBr9|akXBG8EC<|8P@3sA?>K-b~U(u zrvt*L*!_5A5K&9y5TG@(!V@+j`Lx$Ism;*?|K>H(v#Lx8l?kmrUS8Vjc+8 z{UE;@&ROwuZfvC}%6xh8cwjLx{>=4LtL12oJR`loG6TG&5tn`=}xR@iC7Q^$&X+YcK0)qHkXG8vd&SE=x$%od+tK?zmUEf#l2|>N7vX&m);x4 z3(@Ua21CPeIQrxai+vARE<1SB={8_|zPPibvavkMnBqL2SR#{yn$Ddc?5M)byB;4wtr}drS0uYH zw;IYP6YN^ksvsxhR(V>n23_`HhOAsQIJG6=+)w~vf6MbuW_N4QyJ_#?GPfESg)%%m zP*H=36W>!VkZT||T;(;tRIsM6@^3z_3biE;8DB=q zVW*ka>ae>4u>Hl|zC%Tyr3O1185TP2cz?hkquQH2Q&ZTZ^UD1;NQrW6F?iXI4s+dy*A91recwTo zZ@&oq;>h!Oz@#7ar7zk#WF{cw7nr%>)hxOTFVD0#5_MsxnrB&$t{^qV`J<-n3Ob5k z&r38f;p8nTBQchF{K@0Y;JlOE(Jjv=!E>LJ@8sYZRGRlxcXbZov+Z%3wH5uiy=jtD z`5>{5C{!wSA8CVb@&#Q7=_W8})VHJrRza)P&OAc20wHy^TfQjeLqOn^|DlBf91QEP ztv!_wdxk}G0jC@o`I{}@H7mpBpHyP{?2k?j(<(gM5>=?!U4d|;bRnzDl|-KVX|vk-N+?b4KG3CD zg%l>|JO}AYOx#c2MrmDzm@oOwGb&YJcGm1-V5>$2f58^bD^;-c)AjlgSBa7t)eZCu zl{jXX;8)R73H8$XLOW6g$}hat$Q~^t@)d02i45iN-N)sllU;({=|_KVPAVbRi-pij z_exQ$zxP7c(^Bk;x&QfnQ#mp;)O1G*T-Oj_~nyubP`A|5t;Z<-))+KoT;1Vi{!|29d) zos;hV;j<9j6Jmbv_9A+Qozzd1E#bjQ+4MKzOVFE%2&tM z)xmde*R@wU<;Z>)+n^;;4u`E&wrJLbkwD4sP6(bX~4_wk+9S+wDDR7bS6># z<^5*hIH55T*V+eJS<39`if$aqDt9fOYW>?kvK9{Kpmjowq6l2PjRVK_7oxu+E-}|QAD_6n=-QKu;Aq)posm_DN4+NE&({~jX67J| zLueWNE<%?aSApWkmWq8-RiF5&Rhh!J8C(5sD|G`y{<`l@0@%4Du#JhLiun||( zDz9I7*o?}DT(YEz4m{533DvLcLB2_v_{ygd0w*lIXNsPLgHGbb_~BVt(LCRE#daP_ zqmO6ZX%_Lhr?$64W#Ml;FpEqw{r6YfrttbPU0`n2I8pCwSKKN!ilW-i(d&DL{^9dq zTf}k(Ds-Zej(cHSeJidw9K7rkU58(xTt{Pyt5Ef+bgad-82l_7CCl22LHE|vu{J7; z@C(a(H&*3BHM#caw+J%A#z=839K|T#Xz*|kfy0|JtXK0?{@3#-XZ=&hqbe9lb2@gb z8@8<>`n}lCa3xZZJieDd`rbDItAw|=TyiN$2akoT-kO-kOiudL2lioP5uMn%_H`is zvv0%4la*j+J}0U^U5(A_b;=)IC;VW}$5{#Dx>pYsYSAK>;LPF&x%i)@NaJGeR!b;_ z5v^A6Hoa;hPu{jd6pvwJYHI5ZrV^~M7P{~ll;YIMmc$!}%3y0!Q|O*qOz_~ByWVn^ zLj1{0M(2-GRDF>hXtgXwm)_kvH^p*-m(ag{Dys}xCQix`pUc1->N{va;E9_pH$qp6 z%AiQ~eg8s3DO#K2QgXFRu>EzQPpWk>xHK-!Jr^s2*^v>CP4oo_e!K2snQA`HoL>>S zXPJj`HoEXZ>3lF+2A!6=osYW|R*}j&1^8-ve(rKgJ{rx=*9_Pe;X?7$k4pA(%CrmLVSx}LgtLp9R8CMASfY9Si=x#%W!9fXZ1x8w|?z0{(gn-7Ua<8#M zXh<|I+T6>-F2}5DUWptWymn$nin{_u*LaGrb7aE8XyhBKWEJG46}PwQ|F7e}Z^}%$ zquS(&XmnU-wg^?5PJ4~om%wYg#ayvL37QpE-%6PkVYx2M*_N^h z{f-tclA@(}thXW9?s^pj(?ybVN=q=Qpnr2vyby{#ma&y)#mJ?U6Um7z#@?`p%P(b$ zQ9+1`emIxFc0@zKzPJdZPAAUVixlJYVNJbH{3TFKe{FATQUd#4l5+deVmxMWabF;= z6G8H*Urc8aBJY&Z?pjlX`_Z8i-l>Inz>x0v;&=fr_!U)sFU^IyPi`DdP!8@;ga@^I zTrxh5UT^zQYG|F)H-1DZ)A%6p9Oy&4Ia)NMiF^W0Hq20dtxa zLdEdxUOp7qREiV#qORT~__8~pZ{>s%D=_Wou_erkz~jW-riK$LvGudZ=AG)*(BDcU zH8xz0pz!G751RF`_*VNWMyVAqJFFH9vbsRM{+aM`mwsHk7Bwx^Fous5D{;}hlSE$e zDt*bZX}oNSw z-}c#Wx9JB*W>-+ZX%G0t`Q&Jb{I2-%Hrh+lE&s&T1=*GC$xkcM*Wh9JDyke+be}4} z9LhsFWAxm~(R>*D49Ce&W#VGP)^L&-F`tjVl-zii0Y9%{UD~X2ocVs=X}eDq$ZVqF z!cYI__lLOWOQV$PMosipWMI~nq#<1myXx@v?E=nG=5vJdjbdc>5S=7ZuOai)=sj+a z;ijfMd&k}$jF$@MyAZgno3VpzqEZa$6AnFW6lHLpK0;f~P=-zICpT^KFGN5iyU;>) z0iIh>XqmAV!e%+OL8rV3Vr#zit43E~%M-fNqIE@xQC;`*5`P}_-g5m)Rw%%`B)*Ey zj)H%9CRy9r%79IU*vIoTCg55go{jBl+3+bJ><4u1Q?m>3scPkfp>iP+?;B{-*A`;a z9!K|bKjOG3yi3Hm0Ef{=bxAoNi|2d#lX(j;ajV6nr6w0&>=JrT-^@Xn`ul*O`fT)f zzE&NiA?*5T%G$)cWE2b3@|~U_BU-=Y_#SmKo=@w1IH^I#eeX7IdSpuvV%FNtL&;_o^StMK5^qo7 z(8XcFGn7;KSHHi_9Nyz^wWkpjGBfPuK8f(dlxDAO$Kk;&d0lCK81W^RlIs}G zP>9esoPBuvn8ouh7>)1opYh2%p@(?PyQ`VEfCD{zKHBwKqvHbWh2brn}q%or#{#7~1%X=vA9#8Q7 zpHX~Jx#fQvKgfzFuePk;0+vKB$2ahbD+8QXk5Xi0+gA5F2666kAz>9 z2Y&kJBI>QQqT{Z7eB_#1R7Pw+ARez zf84*LgSr40m)ys_6^VI|x|aRCIR_UGGskCW!tp(X>rb_^6m^<|)#hv^*C(@Y3$zWUOxD1+$hvGF=j zQzjB6UeJmvWT9(cWP#F#9Pqu{r0&l_@V&G5x!7+JxKnXwq=!!tL==ZvF6I*J$&$=C z_t#RSj;{In;cyu!3$5%}^@w@!Q&e&!;_F8T4&UItM8vzP66gH`8o~LZ#I}R210Ht@ zL|4;#uujM%@&3sHywkedu}*FTSMQKD8;N!F$5xW7`qTs(dze&eiY6gK^MO4&Y7(mh z3C5>&C!iHF-C@W#23N6bsnZbyc)MAyIfQ0OL^al)=;%|lcbig8`w(R8PD4wh-Nyt9}JA*j4*U0hxo z4C30)Ib`J%@$}DU>xS~7ditet$J#oumYr8z^R1m&Pady%E%W!FdW8=u>9*@-;z>HU|&ENYNK zpWgROARC{{f2hP%sc~IH3%R%E=9;m;m?7p}=o9M?iacva&h&hz8O~xl5 z&#s;GlQu6w!tKl+6R{jb^`-c4Q_e=N&oE`Kb2cssXRRK{C)W8Zrow0Jb5LB>QTwAc z2bO22C&afB$2tZQ?+3E+%zZLfR4SL?QAWn5jdC&m%QGvbGY8H})!WXPeCAy7dm|fod(`bJ-k@wHwNQuRG+EQ&2 zX-wGpuH(@sN0jHm7C+5l;Jh@eS@T2L`@{}ZTcTNAx z)kDcc5DGpb`}N2e)`h4tp8q(Gb7kU*`~ee?)K)jRn7< zd@D>DM15FH0Pi@AT<$B z{>7OwUj*5B2wbT?7AXJeO%9T{6BC3y^WaW5qxnEP8&Y{Mwz<$`p;Dr|;_+k!UPN)t z?-S3(qW7I{gX^VmC$VeqAmY@2+aKY7)bS~IeI&+&)D9PW0*$5Err>su9`e4XcZnWzB0eZrpVUwL37vGPgyXTsV- zMQe<(7n>P@5(S=Yyy8@xy(mw{h8Ws9%C>BbtK2^6l3W1)`qF)>{lxX$BY1~4BpdcI zS`4>elVQ)Cs?Pm}jNwhkMft4=e6ZU|{%|+>Z+<=-VK;ZtC0->X>Rw*3LMa(niW8Eg z>&ejA+NdeZodfx>OP?)NvN0Cm<(lD0hQU$uyGry~Xrhk&ailU6JL##`t!QLHRXa#H zO*s=w2kNs5OwypQK5TE`n~EbmZZU>D$$0T#WDE093VQc+F03y~#`IF>NC#6Y4%Fle zjebo5t=;U^K&f=xE-Ifa$W24_%hTg|QyK8pJA410C>d07GZd${=Ay$@;^5ckxp-RK z`{?X}Je=x${KAwm57KI$-$xD?VB?WISzWa zarpf4+8Cr)UOIce7)M1{qgDakIP72D9@!^5jHT!C-I|~J!CQNPFPm5gHdJ_!xXrqd zv~0>WaIyoQm*i7Eb+=$gaG=1!XARI<;qI(osK!Ly3BC7ED)7{>wJ^Y`7+pt1BR`!h z!X7r4qKS`LxFby2Anl%ulxUv&byCFfnWEmiM0^pgv&KXgHIPYsaaNI{16EU0JIj+x zVSRu7&I24Z|HJLuMU+~6-Pu`0-?DlA%WobpCdL=q&WsT{q$4KETs_d@+}nLid;*MX z1P;iHcVcI;)1{Yh>hZ+G_wyC23NUG!CTYiJ;N`C9P+281Xe(5W*Zm-4j4MdI+$9Sc zTA7-oyU1vBtKK9hnoZOVQf`x^&c%edRFS?$9w<_EavI7qk$Ye8?nk<8%p^FdSX!oI z@6<2j7Pf5Sesc6JZqG7_{9%p8eg+Bud<*k7jW-A0~xzc zEeDg;vQT^-c^OYK5j}2v_6&g|%x+$)ev*?8VPhkKBl#I{<8Pt09!^K*4SAt}_*9~Q zLF?%mj+DPRDH;266E81mCnBXha^DV}6qGX`D_assg6O&lI+% z_gJDo!|omO8@G<2vEDWY_9=y|vZ-b7@ z)a~JfCZy;3qv&oOl%<4=L*=Vbw%JDZr#r!yeh8^+?=Hl-g^q2(M0|5#NpbJ46*6Yd zm9>O)l3}?wr@U{B$m`tMl)PhOCN4{Q#AY;;A@{*mfO#e5pSYqaP%GP(rQv^=eY3rc zdN$xTh4ojP8uROBP@&T9(@4}6N#1A>i76UD(ZynwB#%)-XCZRo8>t;iLSZ+)o-0Kl z-B(SDgd*5j-cncCNd~DgYwiheGJckE-PqHc4nCSlcFo2N94iSMxHFysvhlW+()U?l zz+-hE&Kz)aI4vK&k&VTMqC;=3GN9(y-2QqW8I+9mpK6uTvEjg4sqv*uWKeDyI(R4( zvQ|5T?d>v%Jcr}yH}5miw|6?^U~~pAv{{eCxcZgNDnR37DYuiQwFygtd7;Uhg-H!_;Om$)4~;f+z3rl5t2xzYOo! zz>*}42;LTZ`8*wMuS=@8$z{Q)&??(=C=2m10*`BR2poRT?8vep86)&24-}lq@HvGd z<&W98ap_8}Wmqmo)~Z@68srgq6;l5Of`7DL{^7Axt{k>&Sx;p$*I+97=K9404S(y1 zTS3|Oo&$C5sNKF@NUyOIav9g;PH1#P)c!zM%Y(kZx>EvAztQ~gn9$Mw=@T#vrCA~E z)n9{HA{v!A@%5ub_1VqX-fmo{oC~nl>4eCU(#E~Y?RZ1!_lo6g3uNPcU-N!!_}lNH z1|PfD6!Q2I`7_RRo_uD4-@LSttMxq}l#y)wEU)u0IvTjZOGienW`}jPWeG|LXzZj? z^N~jt!_27G@HcOtjrWIlZ|3}wiPKfj(#tA&Ud_N>xXx{XHVvd4m_ds3DEW$LS@^jIQrL3L>#zdi+@%nTviy9^|urw^TC@q zvO)?BbmUJ3txH2v*%6J_lyu~@)ePKtn~t$sw&X|8({T7o1+^~`cV+r2k4H&l;>!7F zL+0nn_~Q7K-F9s{1itJa=1|KdzJJUsmA5J2J}t>S=a>#dhb);boEd-f3>na)x%J`V zwhT-U%1_;)&cwk8ron;rY4APZ_EI-09bbQHuS5nWLwM=tUSrh^7^ytBit$cHgj#8t z<`NSd z8#5k5{xd+z545F5cH%vQvPHE47I1!7kry>@8ubv zWrBxZ+deRTWLF2u$IkC3cXh#8e>usilc+!Pil13`tPgQ&OmUe{1~4r9TM+bDUs7s4fbgm>=g!k@m(?VvF^p22;h6@%h66B~{;{gYpE=2qcgG^UIa>i^Qa-mkt$uLQikMjp+zlUwegp$nid`WK# zqGMlYEzl%`jmg`1>%L-0bVvQre3*@M*Y#@+hI8@Co5J!Ek)Qs5i?`d&lxmbUMhJYi z?yx5R1auVgpJ?3dg}X_N`3<7}(_h>rut4CYIuEjyp%xXheaU!a^yT2LCry?SroTElZtnYm#Um1U7pfs@PTd*_X zUt2rHjdC&&EBQnBqCpxc6NC3{Kaq~Q(%L0K+GOY+K0EhpYZ_eXFL{1`lLD9bi}5b^ z(&0@-bT%$Y#U+aJl~vbNJW11;Xk|%3;;nL?4#J+oA85CvJxsyGQQKEvz7RP1jm-Bw zcF9;N%k{M8i-*VOD<;M-lAyh>bkcSz4ns)?gj8!1K+#HlgiYk$(r%FR9h19 zDmDRL&U-l%>Qb>cVs`eGXd3Wcn(CKrIuiL^KZq%&gL;kBfo|;#m_FA$Uy1s2+UB zjJGq6H2tH?WvFuy`<&5^i#0nvx7!l+7IDJA6jQp9@Q#Cryt5Zm_bZaLafNg}iDT+6CW=RkSpr!%wocZI;kKPN_R2 zsn%k|urzhtdmRuK8GC9*8Tf4~3U z+_PuakbeMI8)@TzT^+^e6JHCyu6BW>=V0Z|-3)1m;;7wcd+}jIcMTh34Mb9Z#haHD zV}9mEot<1R>W<}n>wJ?4m-M){qO=4Is_2~)D^Dci6&CFiT&W1D;*g1xOoAJW&ISgC z447LehL@g7Bl@_68`P51a9wLjT4OO8qFqgsg*C}AUM}sGlT3ijLnqa?PV1>nHU%^* z>V?u}sf6D@9RJ)e9aLE|AGhje5cwdB44y|>s8ipgK&zAu{;hL)lMf0o_;^^eoTm)Y zDo1=5YbwzsBu^C=*ArF@)Mooz0kKl=J~#nuy>P*Pg43l|KOTkt5d?XM(s$rHgv?ltr;xV zYvfVgfbPdOVp;^=&Y&!zIl*3oKYa%)@nok5eUViu_6Kg=t}0ywR*m6&{|Q7YaJ^d-`hGa=SJ@^LUV1Mk&5XKxiGgHg8FfKoFVtw$SN z9mKN{on`pq=#7&9$NoDctH%0Pdk;)G=pFc1h`R8kHAy|2I{(I3L_OBQvqf(0U3e#M ze8t_T8lo4o!47Dg`wg zH16&dN+9rKE~C$dG$Nn3ww}lYq3&`At(tohQD?H*%yA$Ia!zU?JzhyT{eE&N)GPrT ze_i-E6R4G*qQ zN1=W3cCorbB&e3RI)@iV;uPQL-lk76e|6mn=wetKzPc2TgSQh{&m|@idBk7adY&W_ zJWq#>zE3jxFG$m{W+fwKvgFw_)l@hxtR2Y=Nk!}Y2u3o}5j<~x!kax4<}Y5fa0ceU z_-M~3a&Q42a_e0Cr74O)!8gymb!MUt|KE|U1trkxnrAc*xFKnSJJ-QnF=1#g}L6);vATC&Hq@==Np7yrB@6=4^zMSpM(rTSLoCJpX$q zy26<4FD>@rQ`RB_FFp;5i)hmj@ zn<}fl&(fkGxVUs`TVynRq@;Io9Ew8DL9w1j#u&`r`?-N?C<@;{n@vqxMd6H-m}>5) zC|r)}be*;Q36)RdX}gKn|EW)ogdttjYZjJB(6f9L=uM2oFwiJ_fALu z)icJT<)%Y|^ZPjHIdf{cw#1=nukg%|7YXRtaQ9-{YCP1u3wRRd6Y#LVcSD6tA`~ba zw!M6k1VPJGk<~5&f0~#FXKzabb3mi=7J^61k^b1)G?zo@gq35pRtk~cH(N&YvkdwN zH-u0T`Y)EY0Jij-$YUU#FlaTpl#Vg0tz;z|sB|13~EAM5TMa1H8!RTiNqeV0_ z9@d&15+{Ct+m1G+JxQ2qX*j2;5l75V{~Nml2{@}Sw?p_s0;GIJ_*JUo;Jd}Rj?Fn9 zcUe3y-|LA-pSj}0f_4Ad-&xIRm-}ssg>uNNWS1YY=s!jDKD!x@tcFi@yIcY_fu9pjxBB9+x;^hmic9k%y)=& z=p5tSCxS^BRC*%9usZ{n*GM^C?#)8JnuT*J!JDx5pJmn0D+Kj}HHyeBCF&LIFBu%Y=URU-dsUlXESHXzQ^veou`leIt0Lh4Yq(I^LfsJ-TSs`cGXO z-L*iyhsgwwXwu5$!`+F!1(iGP#5%CH{@oqV_pP{jo{D{#s7G40b&?Z!R|j%KTCN{M z4Gw?pOWU|oi4iMa?X~MFq4LEjK|GAepHUbEU6?6`nf0RV=o7$NzSQDUfN&iF-k+*Ex++gyADhYh*WyvA|abV*}8L#`2fn}cP@vNQ*kdB>8 zI@(JHr_WQ{;fCD*i+#_W6JJ;C-GmA*Y4a_^op65YH`5#4h(Jrq*)OjuVYr8rJK$vt zj*fIY>4fDYtZ&XU{vi?P%<+)F0kUOu=R7U@;D~5<)4CPJYsy{IMQ8?tK z*LP@b*|Kj>WCZB8x6ut5e#cqqM~j`j;rR0WTJXE@?Rp#K>S(h zw`^nIp>$r-ZdyGY5??zvEPVWly);ep6vQ~*WQO}clA=(#)l1&UI2y0jm8+CQV&T62 zA!S^74Az^jktK>HaY0RAzNae&qhhnwk;ZX^zUCbzV^$nIN*J7fgc0_x_tK<;G6m1A zcV2a_O~>5V9ZJz>vqA0FK1|PG%TfxYHL{4*gY65d$`^SVR>3$+SZ ze(yh8y{8I?^o5i!k5pq#yy)1<{aSojExWo*=)~Je{Yf)78ZjPv@|p0rCI|{{kNl|I z3Z~wsx`&6`kr>pKH&We>{n7qTDg^KHCr{M^?Y_OXJOtiReDKn>dUq|frLBL2y{tl} zHj|w6&kFci*l%ZI%EkU-bFI+5#aIojvUYx%Ph3xhUUdybyjW!X+2CC!j7kp%-CNBd zbp3BuOXw2_zL~+JVn-6Bv@dHUK90ngGc#`(5zlN>Q7o&sAu5lZtuUpWfHCNzPK zF45T6^&)DSIR-8R=N37eVsZCv=_fs!SbT8x|K9jE8X;OYAHTARCUi_6)=R&M0>f*W z`y$ejpmqGZq?-|mfL6Y-8rB%(DO`VjnK>GV+V+KMu8D$YoM778YY_nF?U&D=M&N5O zTm4h^2yE%N$$gvsJ5g7u*>&^vPps@@%3&~w#F`VkBovDXJH60%Fp4t_C+6QA3H$O?mPaK6R-jZg%a?l!vp?K|%5-ZiXt zIt=FyxpwlEe#M-UrR|DoIJnr&PHle}PUQ1<(aZgwm#vjsuJT8t%=AI3sdW_5ukEyK zcV`s%eRvMFWk!MJqRzvqm(h5xlG!`1LByY1H;NsvkHK4$R_%?!F@JdrV!cx_eomK> z4CkYxVy6k-lW;)c4mc1CNvPOet%B4j8qwcL8 zPUYCK_R!#nW+h@*G`3BUtMKmVBu54j_jOwj+~=jNL&)PVKgX2oap~M+F|V+Of9j(H zi)^1dZ71r!w%dyZtF+XSY;+PQ$yI-GI+cs$Ru8fW|_s)n{y zA)Dr5^Wk?{`1rKQ%Jh3V+#WY4Z&)rT`V4&D!m&ONC2_juzG``dU*XX`Pn$v9jOc)x z@uLjbO+M-mbBIIQvD>YW`V;@bm5+>9eC{5PN20ZMV;YfXh}w6}IQI4r*l%ZTmD-sF zb^Dk%eKbT~S4sXf6-z56rQ~m*LPbqUdHyeA`PYBSe{=kAAE)M|AWm7g?Fa?Ke>(Fh zg(MS&U9_`Nu{r#%{a+|-;Z2EgdYKpZK zY`;g6S5{R}(^NjCW~id9d4^&maWWgRuP6536Y*dBT)#)$#7O)hHVtC`FON_En`2Gl zm|5iaccP|XC8mP-zWe(?nue5%zX$x+&*?7lXUO{BQ%h{j{uC7S|7lM4{GOB33da>rE2te)_%kO5h_imr ziSfn%gT42T$MWwR|LvK*BQun}=kczQ=vn)#vfOfA{ZuuWQ`bb?F}+=Qz&uc)g#;>wLXm)6e7nb-a3Fm?a^YFP_-n0zdQg!Jn}r1;i)e!kQ;-~U}f zZ@=%aDuLYBF8)Ma9XOY@pZ9dC0qnEA-F%fsA2vKxZ#{o)3fH@*wE`wh!Cq5$xS`Gv z{5>tb@&{zM`Tnb}()Ne_S0x~%<4@Hx3h+(t?YMK09-J#?Yo6>eg2hRN&Re9W5Mi^L zcJYG|)b1@iZ1mC$hEGH>u0|Pv+2D<|o_e`$zW=KN-+ujHMFJg32{)cfBan6R9rhzS zthXu_!3R|8Li}EaN2IAC&kVsP_Oiud znEW>1f0fnR{*eEy1jItiY#rt_fcNA>sLa*|cTYRqe3k*kW@{yWh{r&_`KT7TJqGet zg*uj((BbRJAqw7_#&E3aD|?-bIm{SQV0Rxi1TtGHIg;FMzW=jw-+tX+Rs#N0>PVSLd#kX&6Jay=FU_9Io^Y%97TIG^^6x!MS*HDy^zL=52OvgF9u z^Tyyt`l^`iqB&#)T*In}VZat+r0xG)VOxLyWtVOH?EirT1S%Fr#^cq&ijP%Fq5*nMq}5o887s)ar^fYH}aE$G1n z6f|r0`%Id{djoL`t>=cYyI1(Z6|Zf+{{!)FKm8YyfL5l(CZnY~+{^AL)-XkY`TO&_ z?@`+DaoybX&S?X9a&jr2Wm*?TH9mj$eQgNFr1dMKV|t)BYT|78#R!zKYsayx1`tig zW2}^F0x`=UNc7|_Adpw98f%Av$4x$IbJNP(`ui`me%q)0_a#7xNquuwQXS~!@65P< z(gZbCnd5%!x-cc2UNxJe2aY1#dAQelAYyHSWIxt}kfiaXqn{1n5Qp(*{7Zcpqjpt+)C9_m^S&(Lb{U zz%Fr-LO~tMb+%&YZfgRsqsc)+p%w@Ys*DY@=!4dm8KvjTy3lo`WO1I|0Cu))B`6=( zhvnVPFE+dlK@Bq`K0z>m2v6IKbFYozg^tVF_#Q)e)HW~ZAZ!ZfUbhDA>au_crL9{H zt!5x~+Sb+X{&sx+&%BJ=r~5Y&So^*#_smHh-d8%G?>eUmeCI`HJ|5744Pk4XYPT*h zJK6KTY|(}26TupygL+WZj=OkPQXejy>|X*~18C6>OmBT*2+i!i>p2F7Ao;H3#Vv0W z*sYYzWrV?iQuSEgePuJ?IijFkZbg7~URSNT`-bq?b#c~QY}^0+Zc2ww;oY#V;z~K%Xj2^hB9wt;#=mGQCz-==|eHdkC(uuCu2i~lN zm-{R9fp3IFZ%x_|-m_PnIK+wpz6~bEw>sndje?x}YR zg>~Rk-JpHfC0)q$02%n7cGq?YI~ z>rJ*x6Z()Zbh=egS$doAZ7}~V5*Yu~^FHRP2C&rYQ@G0@VDh;qz@kA5j3<3|1}x}; z%3-V{iJTt1^4+gOAE)=*&UR69#W*wR1KFD5(~oJW9pa}|a^R)`h+lu|k)mJ(n#(+F zKk6{Bf8tdApoKA%Mof0I_?v@i`K$Xrna0p#;;qMV&Js4Jcm^%O5?GVVQ*90OfniZL z=;)^8Hs61i)&1u^$+;2+7I#5SxNtD#K4m5X_un!Jmx2zAaz1yxaZMNUt|hsBIi?Hp zRz+OUemM8Nh|cCj~Pp`shR$p~kRK3>@_DW;-Bc2p-sM$y>U{ z5KU9zDQ#~AEe&i1BWKLO=Wv`-iKHnMhekUXxtl;|$>$YmK^!!5Mg|XDL;WYEGCD8r z>A?|Z2A1ro?flq(UNZk@SDyLyhF4{cCIozl89Ai^aHcc+TYQ!_6fkkbl5FY1;qbCB z>dSgyFLhmN|7|_kCCxl}6ZL<{CbfQw6VQi{LX)8Ow}x^;TH)n3iKVmY78Ny{9jUrOu?vis9~YR6eiY6lGg)G z;q0-*l7>kfXy4r|=Ib#B4_~Z{+L#VFo{14yeUVhl9ICFjKvGq|kxRquL-Dco6Mow@nK3?$2|)Aw8Ap-*`qah}N>p4}=|-5sM1 zR?|*vPLaE}`Tp-M_dm_Mj2^Vq3GLVV%}r#0X2v;P-Cy|~dQi<Rq$9W*GSX!Yq3JqY*qidAlGq z#Ry7h%I`~gn?k_WWJ`>o2`tL5#_iG;gB!`ldC&l zQ>t2kd~pxwBKG0`=$AL`23|jnWxMhd2K$_B@v;Nrv+$Q(8rCm3JH?&#l6FHV}r$#mJ%vC(- z>h9i={|yWGh*!;DDQm(R##HW-^Mc!a|JRoNAO6*NYv-OIeH{p3m6iWouLI<#@cZON z^?<%|MlKkwCrGF`Ybb!m7Y`*joRXL~0K4@zClxmX5W^Y|kiR#Cb2qGaGAtNE{P+w@ z!A%U%WLOb{f{frYe`!uyrV$WWOS3$ujNyc4WO#TH7LFQ_(!^cELgp%ihwy1Ea25JK znshaV>8i!>(^+P~Ma-Pi*l7l?DH-$}Pb{J0!eQR5O*3Fnf10In3kO$N?tFP4hzIX{ z3ij{kP2lKGee>t{)gbfXWl#HEySDlMhbQ(wcY$d`85Zq5I^e!P_0CxjbZ-6h-sBQz zJ-Bvwzd~b|KFp0?Jo_fw00;qRPP_UWz(Qf!5shz#Kov{ODM9OHGE79g4qQazi5i{* zL#RJ5%ix_#KEdd>UHvD0%@>=B^GU$Mz!7W4L)9k0Li(s*r_mJRL*?~fkedQW!Jb#i z?PlP$sJ!ry+8nB=x=h<5&EeqP7O@>HIJhxAGmK931>f5?6WMBbC^*rFFEGXf4@aZE zTDcJ%q_=K++NKOQjh_gzbMtKT{hwR@f7n;m{^%2zL;ci;4iNO zMW&#tVBdR)+X66I%2Z#jn?p#^VG>qaODMGrv$`UQ0}?~O-OB|QU=&3jeXfs!?$Q1&AXZdZq!Eb^1??_WiwP?Zj>Kc zN;Zb#q`Uj_IE{hxOF)h_D;B&`O3#f+o502*{c`MiQ;6pB7fp{t?U1;YGLbYhnASMT zK7{Tk<$L!xd)AwSb54%iix@LV?Fnl*?_dcnQfj6tv=*RrJV-QK0|!C(0v6V_aKLaa z<(%4zC75|TX06K;Anni(viu24XyBJQOz}V;XuCsI9g^f=&sa^X$UBy8zW?7C{KGxV zCJ{@mLZJ_DK6qVq3)KhAse-h!6ocP+cbMxe7p3D2A#&wZGaro+Ji%{VcG<*$cFX1` zrE^Bm*ndVxJ;E4l7e~xzg^i)H+FQG>+XQa6Feg(>nn2-ws$fnEQ&?jY*K%w?Iq&(# zq0WNZ8%(gsQfvw<;)wJ`ZF5L$8gM#NVFo86=}Ao^Er6m{N&nPmb0D4F&11F;2T|WU zjZ(i^z>f=Y9_r0Fc zZ{97Pl>{lXgopl5S-1KAha>pkzo3$r%IbwJ`oHt2-Pkvo%oGeEr{=P?+%XKi5ZxCj zE06Ze`I>M)lGO-42FoSOEEz%N$nNo^YsS!Ug|<}D7tQ~mr3(*OGXb0PzV9yDoBYnd zE|*Mse)k?0PWxVp<+Ct@bgvoq6)7`t`BumNuuOqj#>b7sNq zk`~Yv9j!=bWC=TsQ(|HjEkQr@#!V+z9MlDf#%9e}!Z*dZAV)hqxaA0!@wwpOgt{-a zl{X$ZZAOxwk`v%eNwju>uPKNLXFcA>4`6DhwPp~9+40(%%2gR&Zlgns4@%W(nu9v28qwN;$ z=Q1jrMghc-H z*{|(zz`KCEHj#*fqd)jRaAxD+R9foA7uWC*tFPJ_n~nqDH>0Xyqy*q(5gs_~jtBPF z{^Yl@#;}Y0RDkDEH5d{Y{@|-51XUE(C#ug=Zu9*QL-PN9A!jt~nb;m1!l%4mPb(1& z$j)2o*sftfc~dv_C9g4@tMM(^|IHZkoPS7*y*Gx}2iW5BrDtTvk(G2!PzuwwairO6)E#?o4m;*D(!Nmm=^WSyr;l}J2mJBUHnJis$jb=gL2Q@F^Z5TFXxMqx#!3q1rQT67{<*2d!P_ z*98+JF@+T_8AuY1Ca*|hg&h?xk__RC|DT~$fA7K0m#c6@X*2LM3Ywg0F@?7s zO%ERPn8RV;M%r(vz5ML(YLG#eIc(mHe^Yr;dY@G_@zW$#CFwNoJpA6b_CwrBo(d#zB$h5vjmU99$FEz8m@-2Zf(3+n&4P zVQga!=k11vL9G0>szyBI`FJil-^0WH#MEGZX#!v@J_NQ$;(?7rMdCdJ0phJfd^4AD z;1K9|Uig_Ylu*og%`a%c^~9E=PdaKV=b|up)~bsOTrZHsxuPap&XC?s2z3?Gy@q9p|RO?Gl?> z29JzS$AvsHhaQ1~E6TUb;i1Ckns*Wwa7b4K@}?}n(o)Y==(PnL&Fyq}kJf)(SMYqM z_TCa6yhzN*^}qq$9yb;VZ5(JmG^|j0iUamdv+T?&95A{)#~nfS^XIF@5sW5y;JWm- zt<@S2U&Rhe=RU?m3%PvKPyHtyUAYAvXuVdMdYzjOLK3 zDoN^VZw^INQsuV~SU~yH5PHR(7U1-zoY;ldb>U`CWuEXu>tA}mmvwttg2A%%<$BZ~ zCqrSLqbG!edFreUpE4ZmPLlW6%*8=uc50~2Fb=Hw+4dNt_5{*se$-VI4~}A!y5@KB zz>#!eauJQ2Q+`p_zA}Y}Fg8Ko)1UG1X}{ZYj0ph--s~3{W+OmDOxm=sCjpAy&85*R z6QH*vtt~&C0HUE1XBsx~&}iAMAW?^&mnFijD-8#^<-r@*!%TqO=FJN#3T^28n5x{F zCI#<9g_7!HSz(XEAxTHa4WxtIMEqsP>^9$jXM77wxpF-_YYMFUxsPI|O=00>2$N?c znkPE;1%D<3?Z2l~IXh8e4#$-e0}TBvfO@{Wc!?eLQ^+fMylJ$6b%mbf_*P4pv@3XD zNrMCCUG8(oxpAsEqIveusXC_hKJiV*68~#q=76IZkDLJMR2v91YQz4W}02Z$D&!-L&V688$!+aFYo9bsgP$hx~ z&9UIFvKBK~v`_eQ(ZB$l*jChbH>iNg#}B3V%!I)ujOK%LE-f@)ephy^X#r8_c=Tpn zZkzAF7re_wSEEx0%%Jvoi0~~NbC70l`JTpW0f}EUk>hCmI>oBME9I^w+v6dg0)m$dIv>BMy4Q~`ly>l;86GCI zl|5*4@xV0se7DK?ANGNol0)YiH3Dewb$s=Tg#dek^pZ}WBLG#{{W;y!1n{AFvhd|T z0gQPlj#$4Uz)_}0Y}elsfb79Q7Q-|F)B*(J%Nq&s(r>u!#TWsiuM}iQ6{B&QGjE$y z(D%(xCa=>l5kNnF!t<*=9u(*gosT!NfEZWV1qDANFxI1I_h!|GxFBtLze*W6o35#T zw38bY4f4nsG&T^4U;l|i=}P-{l6UW)KB6|jBXZCEp_FMeG6(2yQS(x zJ+lN+U3K#?)b8~&rM{7m#Q{05bfteZ4yJkw?xv&lEXTwWKS$T%KtGSaLsJS5imOzK z8a}8WBKlITx)mNwr9~oL#?aq=#?pq~YCM<^Y$YBO_`_Z>k(MX)`UA`Za5Dr@%1tO+-9?0GTeF%H79w1%-_4|BL4;j$ zgXh9!h;Thd?bwDa5dwEyVQAt(pC=8U;$9%Y)Ac2%pyqGQE+F%D|j-x{&VWZn!9Mf^f!w7W!)a?Gou% z5T!Zi4sxD(gsOds-_UehfB$dAyU)*mLU+Lu>@ylM)v7q?8fZ>&xPt@3JI)^jsPXXp z`~w3vBhre7is>XXSI)u_*3Q*z$nwjd*BNJ=#E^>4iF|n!EQfa?C))zYK7#`nT^38&JLMpU@h?_J{xXPrTkZXF1t9jE9puZQq3R5kNKj z^63PB0wkwBnn*+K)`PVB5|vPUmP(5}ePfdVUR|Y8q_qTi=R($(rb~oDt`+VX0ue5K zf52YmLxh->U`FZ>L@?_wdMbE_2#o>vr)bNFaB{!#SW5>HPL%JN8vR5BZ*n)v5H>5g zkY?P(xj}>trQUmwR*7J${iMB_+zP^#yz;Qa=zZWV;j=kP1c|23=-^jGIPb3`IewW4 zg1WNo_fg(=w8n2}mJuMOl=%E$FCGFD$>VZRKjJ%Q)5dPpk7IVr=5;)&35d;#U`>?_ z;7VL<<{d39)E-$&Suat5el1cK&8vbyyo&d~^YRBWe>H*sOe6`!9JnCPesvXT%#gqT zaA+PGlL;rUEuP%w`+o`Fi{l)2_OI}8pOVy!@&_L1G-mcE+7sZF!`|woDgu}#&Mvfk zCjiH4`sLgmL^vC~hXO-Qgfy$Y@5tPVkn7;DX?L3lo=>}MS_6m>I=E&`GEan&#A7Bx zgGA`ufju_0hH{xruTraK1wk#9YZe$Qn9abriaA@sjmZWV$`e+=(Uo|~z|jg)Lk){= zhFZaG8?r9Xt5zW4$K3MS*9y|BmiPJxSb@wQSG~P9Rv@r0aFlAF72IO0u4>S>f=qMW z$xM{x z=T^V^<5&R{BpH&vv4U93ofOQ})?hf^1wFl1kalP1jD@&0l%LyrC@g0U8ul-obC#_j z>RxsHGZAYzC4Q-yKw}NPWgjqRq}IRc-mPIeGBM7h&k8Q;2XP%LumY1LxonLpD>$Fg zaOS;*70k;-iCTXlLWse8$^z7$p?$h@{LLfw#UpRv1N4>R{x~7DK%>XsEvuIw* ztDV+D*Rfdm-b{?y=Z}FLqcqa^X+2oEf28_BFn}*p%sF}|WzdQq+rKkG51P+kRocOdhEzfc{SCo8-9@2yi#}I&Y&V9*!E8aO_9>?yPu` zj(u!5hYFjA2di03;UYn?zGK!1?Y}erVe*CnWH3Kjp|a71h(~@rx(_s=VLtx(p#UZ5 z!;F#axh@UmlTIx+3rRtehhFD63l%UQVLqASMFqTb0kKjp+u-1pnoJlw|YzHs60`zMIB82*F>h;J(y^-zdW$oaV<~ykT62>PxFSE~j>D zD43mLvzV}k_Ztx;YuYvtaZQ2U*2D%J=sT#tOWHtcY#j+%k_}udd#oNAZ39JP)SB}i z=<~Rgw|dn!u+M^1Fxt-sx=p&ABd*&(SkQV^MxqS}Fys^koU#Ene6So3hYgr@GTadF zwuZ}{)fa6?tf7#<*5V9ULrC#1#+GC&=p%2P?Gv>E8hmTls|Q3lI43Ui;XMK5ugsYE zf5XFf?cqhs9yIRWvLU62*84iek|q3LH;3@24Hi>%SU4Y+yUd2p$JxkKP5-*z5b~0K z=xVv?0SN~qW*4J21QmT8PPS2pNNZyoB8wvQJx!&*XDtO-ZNqU{EEz0GoK~q@B!#3x zmIY%QI@q^YAe_>h63&`UM|+1+fE}YYspL*Fh&i37^!oc6LL`g2%JX?0DXEZ%#eSaN z=KHV2cW$4I(A1yIzCu)xqyvT(!} znr&P~SIKR`?&yJUj*}?I=UL7zb=knXYm>BB2sTjoO@UP5y){%Sc0QLrYz>I`rygPS z_u=P$&I<6fk65M;6Jc@7Px)g3x?in|?VCXN1Aofj3-6uL2;YH&C(mSy;yEqgB5z0U zD>^g4bVn>tqJ4`W?5b}XxM&0qo|rqnTtoXp=x8<0hw6duqbZ$!kSEX*wZA*-ktqrH4TRKpZ~d0!67s0LyAX3>oA19g-c|dU zzaAj5h2i&o9M6nw;pWGLy9-6OAm9A{cwM9_A&Wi{dlB7 z?v9G5h`2E9eipGXs!xvQZ-pzUwNb#X>3O2|2^PR4zACtD!vvq&D~`{yGXnc0^>j`l z9mKw<#cr}vgZ-Q-`|W7-eyDKcud-N1j-FM?TRS?77&qIF^+t_u>+io1;BD0Xn>O@z zfMNM?xN^=GN_$M}5_Z^ucx_7bZ4O zTY)cWyK_T15$rZ|=M;2^a9Y2)ibjV3_FR&dlW1PvFnRyp+99-#;8*@MPiup$ps)pe zk0)NxN9)!(2U@SbqcMdirdBQ<7!$Cgi{ip7d$nAgd7idf4+Zso9{m} z-@BdV-9(sd0Uj?4(NNpMXg1F09>xwR_+ylQINJevhaI0Aj~zUXQB7LM*aGGX%*eg8 zfrVbnXPn74aQU%w+Ic-2xSsj8$cIXdd^k zzGt!Am27ippQyDa+Dyh7Bk;L;%jgI%2C6ye9SiQEeW-r*Ir(gdd#aqS3!1JMD5u$U zK-14k|9%_-BvWF+8~Zh&)AR@>bg2ML%=+9LQUo=B;qM`e@}Paog;zRrFPtnq^|0lJ zAcUMIZ#Cf)1cuWM3?)}Ehc4#`$8 zQ65$uLzo0Oy4p`{^Zn<-o2ymZGF}$-uX&k7-Al6u8vjbFltLRAS3dFXeWVRo%op1Z z9R$%bx^m9EwBAlDmwxxN1`iWm$jGtY{Ln~?4 z_vV9m5IR-p`}!IVI)sCIjUHQqNZ*pG?;dl=D+)*(N;U&so6s@A&!#Xqzt>Oy3aWQw zc%!u1i~)PWnzLEm2y(s1uhgLRJm0R5gzjWCfX5G5t|ijy|Eg!yg_pbTG;AvB{Hj*~ zAj`>^IvcJDm%TNIMzqzy;{fC5ODoENuzHde(kMaJqSM9nO<8b|pJ?BgDh-Y?u`Y{Y zd*JNEvy`GIf{^5Xu?D-z0a^U5IrRM;P%V(PmfA!Eg29%IPbw*3=jk1)3vu)yxnPv> zsEr<`rwcGPF^sTvq-D_o#|keWx%t^Cu>m1fbE$ea8`%BGBQ7Pg0RD79CtC?46dIJa z@jan}r>%P*j|Tog@bR&#!H;K<)0|jALQX&8Y)iSt9n!b0zyF7T2QCtmju;W)1!sDB z2^vpvQchcc+lu=69+T{we@_IeLK!W7Z6Z`Iz82^XA;8X9M(?pqG+&>j#mt5a56#i8 z>dX&t5JSJGJ73%qPGB*HWQ*qT_2}^qxqLGqH9M?=EMlQOT{rLHkO|-qh+WCmLFcXK zgs41R!~mn-YbfEwK&8b%$sKeq(^=KXVv<|>zw81%*s{nP$?MYj-EY44QP>n44q&6_ zF}E1nkDhcV72hbM8fZx{(oK9&0j<^CnL7iDU?wtKll58_)&*F^PO!^C(9!+Wj^vWi zA{=mJu|@<+LI!s5nV|gao+8&p zYS21=yoarU5{OcYX)a?lkQLhhg+zr8-id7;{ish5yXN19228NPpztxegW_x;`i?i1 z|1}%zeD5>4HNgr;Z^cG8Zu2ipIIx%1lWd>}W9;#-Li>349E5rV-7dsgrH6t-#1m82Jib5JO za1ZnF3I$pZ{PVu~!`}6;6}Y0Bs|#L*>)(XXep9_~hCYR2w1AVae{1R%!125nqPa^N zFnWr|^{S{Eywaq=Oy;Qo_veoX#P=yfCvli>sZJhTVgu%!`sHA^%By?l!(|~3WE-S$zXx*qf}(sd>H$q^dJXMWc&Q%nWAo^Q@Ky{3Y}eC1IkcUt%{ z>2XIWj1KJ+k@$7`IWt@uV?T0bg%ws>jwNe%u|ZnwEHt4W@ZYFEa3Jviuo`}vd zLKj7iwK5egSU1Z~7V(k8Y1-$v)rQxQYpD&_Kb@OGS|)zT@bvW|>K(y6_b&Bp^Zj4s z+j;!M2Ccs(+|YEayd{oNz#}K@PgUzu=^ncIo_|X*^Gp(ol%a5%6tFH$Db|aQH3Jd{O9v{logev{Ff zLIzrxve^I9w2d0hC$PrT%%T43xbrWMchjKuvgv_v1v<1I;fM@2nGu{G@eVJNvVtwc z5^MJ@HmLG3A+x;A2J+7?-myw%g*isE*AF?EA$4|6b@eMPhXb3GAh5v2kN2uP6uv*7eQrb! ze#~mT-$y11c3%zh<1|HK@YA8C?sf_2L5?Y|uCeRnXMfvR%1LQipMo=#@!bGs| z2tj!VxHU@Eu5r=B0of;4UaHc8UiszzULjgI*T~LV|AiJD`m|%e>C-{XfDTvGX*zH@ z6}VGMkrw2*^=dXeXrTMFJC%U|6=>22%z9N*!x^;@UMp`JC>7R-7xAKp7uHG4X7$XV z8O1b9jowE>Cp*t?nX`cliIkefG%K`xOTuT5GehGEO#kf&df*@Sig7lgghA4KiMp>y zU}oVB`)&DkL|gpIhab(0i2c=Kd`ImVa+}>&Kfa+G;gfoFAZK-(@BavI^{3^5J4H+& zQ~#{7+ec&gdM;1N!^PltfA^n#JhZ`()FC;HPa9mcy|^8|X@Yn!StGx(8axh}@yNAS zh95C&4?QJOdmvecGr(K{?9y($Kp5pfFt>ZPT2dS+_XfUJ-z^E&*DH7UecTQDY0d|9 zWQ5@IHP88|0v>pt6_)K2&jmL3PLdrq<^}oo<3it=*x^XPgGMJiwqNm34$$L{SaCki z0_80v-}%c>JGg)9<6R$S&?S?2wQH5(mmixR=4LS>vzhe3dv&nk)IB=*{6c+}Uy%;& z-}ffs0v9dN^^IqDd(l8^j1JAvE*faYG;oke(0~Vv?bgyxT8N5}d#8FG&Aaw0)Mr_y zf#ud{OeSV#uXTWzRehW)Q=j9s=tkJw2{JPZf?0c z;dNyCoVdXe*JUI>jT zMsbrml9l#_n`W=-;^Dx+6BjVL?3lW z_fvKvN!@pu*Jnn-!0`B$`1HynN?UIG0(bEet;84XA`z7cC% zp@#8QQ;+#cDwx8&*w@la1&ud$$;Rqa!L=WczFx*q{q{F+*2L{4=cNHz>Sw#EXQ<)D z+Pj)tG&E=)s~clvJtdeP-8Yc6hZ3ZN_49f7DWJte&8Z}d8jN(4x(;8WgRP(-7kwNP z1ksYz4vVosiBViSITrQ*&4m#j9rz=jvz}~t`x-AToLCL7xm8LIBUmLe?q@%cHG1!1 ze^^H5pM+)ek<25t+135Q*QOCnXY>mnxnbmI9KRj$K{hI4^tbu`w|xK1)7J;5Zo(q9 zh#q{pF~ujbpbFHKo7FxjxA+GizN@#$1Ln-NxS&pXm|z`yoG~Q@$tz;ct{P%s;q`+l zB5gMWcZpMpGz-D!ukoL6?&XCZwKrxWo7`|M_2J!715S{;*b-4F#{#jG2Yfe<(!(JE z>VAVY23Rsmb-lw!54y4E)Su;`_Ns^z)2BQ-$kzx>WK5%h^_$NJiK(bQb)WY3$%hB=o4wqg(W_?1$?+JgrJG0o&4T&FUxq)P#WVCnI!cnTmr{hdVP zAtiidKX0cqMhSM37B?Mys6d8|o}niiwTJ7i2uW|q(Y_;A9Tmc4&{e7-qxysbL^-O5 z(|D+3Zt=qHeP=8BDSnE^zZDY?>33RuD-K}Uj?Fin5I%gMvo1q^~NL<-8kWb`-UfJ zEDJ34-_c3^Kn1(10{6Ct(?cE~UjxR09EuCS8f!I?Lh{F3UqlkgfIrJ}gT;*uLKBTs zubd|XI_f6|57NnCR<-=PW&k;u%oG{umXQOyI3H&WdOQ(-^x0P`3ef)Xfq{RF4Bh9Q zWnZ~T4pw*P8YgyzISjU}hO8!&|GIxEpwCwAJ)JB$JX~_^ z@khUBCH>Oujv^9}+*mKrdO-@C1@^TJIuvl+Co$pxD-BfiDzw@e?*LBqVdollX1L)d z(4*kT45g=w83qiQV3RRy?nWRztTaA)gZoGcPaN;OOkE*?Jn5zrjtuLFG0~xo@O%;B za|mt)&lyCkC#&I0_89W;jPneY{V>udccBp>_9HGvYrzK;+7Ok!$8M+J>HeqZyYxU9 ziFzXdd&@&+q)Z(O!~N@fuStNAKq!90UlasWgwEDVi-ULQslB}%;$X&0)A{0+Ff_q% zwbny!$k|WULp_B0Xl$oz>K-OlALgkrZ}yvWNf1iMi} zD5}~*GUM{4a}r2k-)E~ku}oXYsfI&XZKW+lC$;3Naxe*;%XrF_khF;)Ra;kumbMV5 zr2%un^({oRj(M~kt&3R>kG{6JPJ-rpo01$kZ|Q2cMQTikOMu;w=e3A{nPT@LV>>&Y^M%p zNV{>HI9jjz^33dXwixV*_018S6#-6YZ>xwEgL}x1N%rr8;A|NY8CJ;!S%OxbUt(1^cLcyLfOb!9f`W#|)-x1@x;zBO#-;sviaa+TI54BX)0bw#&&#hOSq6<^8!y(7j=}+-Cs)>x6D+O%^&4vl zgQ6OriQzipeZ?yK5Slky>FTJG*s+F`cuZ*D@7X{q`-0wQ)PF}xCTgEXkF6uLHI_2R ztk)4oB*2<1X#;VZqxf={^9NFIc9+J5iUj(1(0%32-$Dv#_Prf(+(NiTMTuTK8_3yX zohhP~>&Sq1ysDTb%AxlBNJU4mx*qn*;U=o0avnTsLtO`O`*ta4^69F{8M@(hfX%~FNbo<79;f9?tEDbqS z%wYev^&{gt1w?zaa7sy0!s*HIL%y#`pk*T~Xh?DeDcrfv4;70@yk(uiyX*zTW1!hh zeCHT)q9~D^+F=&qjIg?*9X5wBM3S+TX3QZkxkjjZjph)$lhT*2CC(v)8=YKsGV{oR z_f>;BTk}YH3nTWZ=mOF`o5fizw}@CKCw%Bf&)Zi0#e3%EA`~?zvG2hMn ziIr&uA%C=CbdqKjNz1HG>Z)HwG+d6`evw>9%D<*dh zET6`i@qQcpr_tY+hV)g<&no=R%S_|in?L@M=hqxA0bqI(C!v}p2w0iM&RZ#*Ks~Z5 zRZ7?aue={#r#Xo3_aZvlv3Q^=v%P}a8P zso(mkrYtZunr{~U-PI;B6PrPv4||fvw9ldgRm~pLqxsB&m2AV-W3$MtvrERM*jeO3 zapSH8p*cit;B&kw{XF92aDMj1jyWXbbCdY=?K$LYbDw(c$O0lJE2>9fG>@>$zCK0c zi{2NkC&Dx=77$6X7svRs7La?5&hk@t77>EunO%aL%gA$~CR!cVRYYJzo}?&l4cXFV zcZlO&MZ%i*x?|q1AY|EhN+X{vBF~vI`|09W5V8AHZWL}C$f6~EXxB+H*xz7SrO`=+ z*0Uu$2|cHS3mSzi2bJle|5S2R!x3X}~-XMho#@#W8PulRPK0pz^R?z;0){fM=DRB4=AFOqwF zd8bfm3nHiDN@bSahg`d5&=o`8^$*YYo~!F+iR-ekoIc#`aB>e!v;=H4UStPfwyR5| zy}ZE0Yml3=zyUYkKPcB|W`%F>nA1;sGs6RisjIhVDM3&%dDLL%8uIXmP*14QDxwvb z__WP>3E@}pxqH)j28r_TQDxg0M^uK-f7+=!f&9$p>_e0@X%`h-Mv(H+k~kIbQ6!-| zUij|#7*ZFop8l?Q6q%OJoPMh{jyRd@2`x|@M{;G!PZlyxB81dKL)iz$k@u6_QE@7h zNNGAR4e#l3Bn>!`TN)F{^Q}e;&*=$-_UbvR!1t5Ll)CtrGTv##Ng&MKgKG*YR$eiF zGBSzWRUH>~FP}wz+WphW0~3AC_ZhRuTCC(UOWzE_t|J$k#XF0LhHcV(Mem;n1PdKm3bxVjnRjID|{1TGTukA7~y?{hCaNx#F7Lm0h zzPy~;%fI{?o5&_zc)j;Ka+nFh6{y!!qxoEPwcl9LeC@^!+lQBFfYL4YrV&3SxT{p| z6LKblcnqJa{Kp^2iPbDm@$0KdZths+P1KGvc~b8bQQ5dUyCTjw0nhXhrvJ4kLYhoE9x4qsTdPD`BhN5v1YuIg_zH zV@O^V)v>^gQAEW{WGAWhC{nhiwkL0E1o`Q2oItY4OwDbI#*mALUcR`IGl6J5)EL(i zA4g{5%6b-MCy?Py`^nmdapdD&ceP~Z8KgY;>*7n*Ii&GS9%=jFJo2vSqP7zBI+OisK=o1K%jvXT=s_AIn*y+$c2T&-$HD2O_N4VzawNf(rTB* zmykmjy3=QuXOW9C77ZJFCJ})=+i{QLVZ^a9vf#?0A!N!m>S5cRKEzT~i~D1BFLKvP zexa(Q8=1UnG1|4K4iW6pV&h|JM@~|U6el%y{=@0-pL1fwfpqn~e>sN`Fr;UlPt9P2 z@3zQe|6)$yjCgp2e3j|9fB9ZMQS37v6+Ag=+414jCgSwQ>m<*uS%iY#AUwc$8u^*e zF^QB&l-rWVj3AfD4E^Mf4kCG7JKH0Sh7gCk{E?K8ZHW1ESEKC8KE!?h)8Y5^14#bf zHcLIb0mQp;`FyCx0J1Yi+E?%YwD%rhQ3cDo=ny0ch=8DoN>Gp_K|qmz1PKZ#iUC1U zkYolCL=-U)M9d&4sEDGNQF6{X=bUqroHM?q4!(2Gd-tWg&prFxx0in3KRvUUS*yFM zyXvp1URCWlnI9diSlx!Cm=a5u6&)B)NiTCc-i`}8d3;JAJ8(|c{}Xq18&ZxQ)=!T*^P;X)m4QGL8@o$kwSxYb3Q&E4z6pnmR_ zJGTe%_Px55>Bk|^BuUFrWe&r7X5A;z{2`bQbzL!^AA-ez!eDR15b$%7&F04_4xF8u zTU9rMcCH!wkWebJOq2KHd_s=Dm$kpT33_tIaho^At#AH$tg=Fx-OHGR9}syeXJZ0@M)Xe;i{ z``+Bv*aq=ECEf3J>Y@CKX4<2y9QBQQ{zhZD;80Z3rQTPKGflN>O9?yt-^VxptG2fs zD`6^_6(pa3I-z*RikF-b671HyKueBqV7)&5mXmz$dvo-Qn&o6IMfal*{OHI>vNE1G z?V5q4QB`Rp^EfuD*B@t=9D@Ppk5_h~y%4%%<{c{A4(XQ`B0J_g5S4s zx)ZxA@%D^X?A=y{+j7DQKd&|+>d8{^b0sZ!Dn@G|QrZkN-OAatTg~tnqdU?3v=whs z1}uXDT5wch*B3qaR{W5B71Hb1g5^IS7&1O;Mfrzo_r@(-&|l1dKajl@Ta=0mx|v(C zcDHucC6iWcy7ln&$&alNTI=mqnBRh2nQv{i?nE5={%m&wxecdJSZ79bv_LUx&i-3} z8y1@Lxjd>{K=(T1aAtTb4Ckc_iXB_=)8lE-HgY>mw?rgg+R=sm5$9bTO@5$lIrl5Q zy?szEk(By&egLlyP!C;*>IX;4>W&qxgD`Xcdin6^0GwZK+YhcG^nK?qt{NDJwRkjj z;DLEu)tmKF^rt2Vd@Vn}>cSGTpNO^dPUj`$Nc!!Tq3SfmbF*1CUDYLc#?*USjP-K} z;8iQSSTu#(TFOk5Ckem#U{a`e_7LGW?s{r_tQY$VW&6HnTZrLl^j`eJve8%*O_%OVV80u)4XoYoeBpZRMY0KWpz;U9oDk$ZNdf}$-#XG8xfm&$=UmG!(X|-KE8*g%(Dr*u9V%*F>glC ziQYAQzD>CCwpD%e+h%O!C>C^xYXbINJ;}AK8SGd2_USBd!hNmxZHiZ#G18nXSj*Xr z>WEs|%C2U@{;^WX(r(1k&blgR1!DZp*ruJ^-Gr69`8FLNX+ng0%yZR}8v+MvwW}Gi8Ug<&B_buLNgfQ(KfnIYPu!W4A3p5DMqd8$wx-(-Ci1qUUQyytNaUWEZSOC7j6&z}LrvkM zy^s)wuTKf#mxm|E)(*9U>+O3^GeVBOWQ%W}q-()2>l?rGcN(F}d}2zBrXEg=j_Rol zr8w2O_i#=?HCBZ3bJ~BX10$2s<%`92=%3h1CmUajzUO_dn$q=u$_D6~(eYGf)FDX+fdzZ(;r{B93*WUmEPeJQl_jzP`8=!N?^xA< zp5XH~X~}hHF{0%%K2i7g`_088myJKF1D%XTIA3iY)^3kgFnCpil25G#cFXIb`{5Cllc@=`~%bE@DuU}#xOB<&mq=#2Il44?N^aV zWKylucz6jBm!}Kd-`h+g(<^OtI;Fe-MRE;OO5hB94EC>2a-GDV=Pit3em;pt)MyyD z%r53D3G_oCZZzCrbvJhGph_PrX~*>}yC=&0zwAAHJ8VPr%T4uw;+6^|THG%UCzs$^ z-ro0RT7|f26y84kB_G-cJj_~_Wg)-FvLSG&3_DJ(RC2iXUxyzYJZ38Fb%KkWCZSh9 z6v{&OOj#el!D$-eV;-K9CQRhDIp_4Q>(h|uPk#Oo;5`MtBQMhAM*EQOn_j-usTH3e z&Yitt)rMP->OL5}BK+=L59id58mMPZZ6~d&!NokQr1$Jqf8|(&CV=VCzGCG2P>u6i zmZNp@7FDie6~5=GY+tHYiL>3UGNw@#h*Y^(nH5-ppnk*Wm$z0yRi2u|c3llTGrC@K zKC7a{8LJ^x;x6biQ3s4GO|^`vk_?kS?Ra^z0@vpZ9&9N;=Smq0Mr=SLp@`eq%=MPS!Zoy~5K~ zXlJp)Y}p0 z^IrNWt;4pU0&E*@J=8Q)ikkfglnoNgvG&~qUO}C5B5xzJ`c_vdlBo)4wb(0gTE6(} z`J8eL>#m}UK2nJqljeT+trhTF*A;3XH$(@Y$$afwx;rB!uV6 zaf&lshpM6sTSRXvr{5@pY1`J_5vR&&=C`J_7(!D~M=qt8LeE&Yo9;y^?(E81saszTw>ua_NHxA+OX)tf zt`>%Zni~3Ib;t`;F6ZZL#Dd9pSGU$?=w1F`E4Hx(x+RA3*WR?^=8I#ly7uiL2hQh6 zD0XAHqh%qGUoi*#n@h0M~m$NA);N?D2 z?0U8oQOSJD5p~5VXiqv@a-$UUTtjT-C8f}9?K=~~QwC$R;(Vj-GH4&=UZ1pukWZ8K~4g$xDk>z~0v61kH~sm&!%HFi+$5dgCHrL&ATz9#OwoHUi6986D1= zA(X7J3D$bp2XV<%gUi!hSh`JLTa}|7%#&ws$AmS*nTh5SHrGP7d9c9jLL~;a&l%)% zmq1KaWRrDh5!Ad>Bv1I{z}&@RyIVvSp&wQ2c)5x&!09Aw&zee!1608|)^Y7~)_=bI zLHFw9KDkyFGX3MnT^q$|$mbU#2B@s&uraOgRZcuL`R2~KVDXFND4&q!%arZH{h%N^ z>HKy$q`sw<+3@RrtZp4uDZ_ZMypVQV8Qhr)gfewY;p;|rw~;F$c-5@xj&lWIyS2VK zjI|7(=vXDxbFv6K{bqETRUxE3gGA(Ii!oYkcyWfU7$K8eedX(lP%M*LDeX`KxxGBM ztzVQtx>R&3@qGz;4#_M`ttrJaLx$TLJf)~xNvCLbq8KmCt9HgkmEgvQ>oQ{RiXq~d z`r?>+2?9$C$L}%}WAb?V62aL5RP(6c9~{hwO0vI`-ADoS)HX$M5p&T;$$^{41oOfC z?%QP*m3&lA(#dVQori>vj?=s~d4xU08s^5HN8Fco!{@Yo=w6RKm=RWtJ%Xj1gtAM( z;@RT9{a!if$L`0La#x_EJxxc6t`d?`5Ni}+T_gvGNpH#(568fNU?d1C1^CLLua#-JV48nr|cG|EmUHS1Au;v!s!2H<6cc7Dk^02ws~*iCS*hgotmI zcGP)CwZQ#(NPzUI21;D3669Kwbn|m%fA!jfw}JZdOfJ-P+>G;&r(*K6fJT^JI+9p2 z6E<#4!vnpks#ou`K~)<2TDC6_J)b(mI(+_l;+G9VUBPc=7|AEBgyZcVkjPD;t?|p0 zMi77Z3H`Pl5_v4BZwu+@I2y&+*4doy#Whdomj^^z;Nr2v=QybpUK$)T`XUt&RB0V~ zlv;*ai{txwE)>Ixr}?DFzCv6zdOiFiDIfE9RLhn3y+p#9p`m zC<4c0&#K%Nh4_=tOq|cdq+PY45O3Oexc3Ve!k*!1z;3w$*l9ZKV{OU7cTI&lUf~=F z9BmJAa>&DtYIB0JZmymjtg_ zXQ!QHTaC_*b97vTRe0qw?%iNq12&F)GOKJol-#$9?Y3w|7tN_y2CFWD*WR%q{L28g zg_beb-5fy#x0A$6`Eh93zkch!Y7+jRmECV1o5G`}<~35m6My5KtM@B?iMAWY9)A+E z`JMq#JD07^C-MyTjjq`K*0~GQ#ez3XE89?|qx?j%vI*-xm54rgREt6d*TRODa_oQ8 z7Ad*8l!zak^rY3w#n7PeS%QtngoFO>d z8F00-v=I3p6@zq>jmT4sD3NKaz}imgrP-GYpcCj@c{rp9X(BpjF2&{J(>kXDhjsbH zzAr4x%{p@6SbI@q)yraB;a1xi!kU3qZGAt(6tY2kDdecaTsBnK47@kKo{u8VtDkyB za>2CMTU;Zi0JnBmY+W9c3z7Vt7iNy;<7Mj7^!9`T9DlRs2Zv7qHXYs_y+f%0k1_)i zHq7QBM`9ylV{?({ysM#s#ni<0nH3peA1uyLG|L3T=Ru`Q*Rvq{ z)pxvc9O;mN%cKwrGPslTS)%Wj9Pj1vVQv48XQ`husFb5eSQ!n5@`5 zhEFHUc9b-Z!+wq6Qr)?6ir+g1na6#ayZA;h#m#b(v3CG+r?~cHMD?QVdG}o1=Wa^= z4iTrlWwbV*h(9gbk&Aw}?2ezs#KTW;gRJq+$Gr%L5B<X77W(WTKIUcQ z;;qec)q1`{bQ$Fc7aW)(4_pyvk*B9WLs;I&T z?li*QH)g87%ZCu82Z(B3$x=`)&xZPQnb zM}u>5ZH2A=t&}`C9y9ISxj7H39!~`?6V8R!<2RaFjyaIXyQ|$Zo&{Pt*5@&HIcPpS zC(Ov2g-Ww!!yO8l*v)g`R1eZ{Y)$L-=aeRWFZZ?-c8e)lWFLw?6sffOap&t zZzfF+ao(}pq*b$Nh@E!aO0yvYG&W7@C12BV!zG2O-6RW6lF4Dp8QHkbYHZ&rmk&-Z z8A&$p0x%p|OWP(>geJo;wGA32XdF8`5usKJVLQI+9M#gle!w!p>i8Vza;yvVV!HOW z8fEJ;9t@stBKFC-;=ZZ69e?T{dmu6Y+;Lw75qF8Y%DP%(7~PyTSsz!8BIVUatF0@E zcrX8TF%P>jaLjR7oT3@UZG%wmXKY0N^6q|62^r&`8^<=5p!w7f22&IvS!|ucdxlIXB>LPm zQO<$CGCe)_LOMbfLweH)DBeO&6`6iiM9Xp=kJa6 ztOgsisK{dm4@|0bCcx3ecdO8Wu+vm?X0#V35nl9m%Xy|BME-BT>#dJ9*s4(-r)*RS zj?x}68opvI_*0qi>_`X0wOTPz8^Vv)5O?!s&cw5{XrCmnOnjN}w>QtoLL&c?R}zK! zpf8*=KPi`r(M#MQTsdN?$b@}0;nGHksrH*V>nM9mWRBs_W3l9TX1$;JT zfotZxy98mE`&;JA+O%eYH?A>-Rw^3-4cVlg<5?)*>wEf~To$^PX1ETzWZ>8tokAny zOsqb+(r_w21Gj9m6f_9=&PPF^9H=F!?{Q?ylSAoKMxBV8HUrH*A=-7BPeXyc~x?31nalc*f2H@VcGlP^8=guu{Xbub9R{E{p8Oy zS&eo6&7)bgw++~Y6W#n8FlQgE?%-REWZ^)i0G@K>e3ifXfVkf3wG8JPY4WhmMfB#1 z^XbqX6_uX0%)*KF1`~E1$s5W}_FdRAs6f2VcEi5~o>@RZb7N z`Y-*@dw%huhxVPPMSfyAy=3Bb*HOHB>#WXE-$Sgo+?&t2k7JKpxZ!%nZX*Aue9w{h zL|i%R^R$Lt1=vur9&c&yQIDKOTQ~!s%)n5y#o; z-{z5tPqD9G-Du3fPA12?bYWsW6wWzaKAwSU-3*0efte_2GjV7y$UxK&fky&?8MrfO zR2)>7j(6Nu1G$FE7$A}%e|R`(YQ6z%*zvS zqyKQh3z1~_&y$|#uS$Y~*M}Qo3rYAC>2U8HS2Ap;vO^l9QYi7|WQskUidP*91s7hV z;dWGUUruW}c%P@9e6E;<&{gAU*H`D@(A~5nwR*V-{A9M;@?kzv7a(CHb*lh=jtW1Q zZ7o1~lJL2sCyS6_@9C=fwgg7sXUy$8%W!-T!(#rj%y7=Pk9L|)XAOz9w+UYsvp z8Sd-X1%pQ{tY)L_5To^D4-0Lj`0ve#d7NuMLBv%LDYO=|-z4~LldVkpd&}SyBBFKh zSpm!}zZ9*zpAT>P9da)3(uul`ixs`kGAO)L3i>;=Hq<^${mUPGtb0E1c`TF2cfU=# zakCH`Z*9!ve^&V)Zhy-kT=uO$bQT-DA4JmX4kO>|vaZ4GASJJk$U9A5wmILfoycca z&)l=23{sDB_YQw9f#1)f)AJ_@`*?yWV1-gDbbkn_`tzotZPWJRUBo=-Jb&jw+ejK* z8%qT2jnm;?-f}*8J{Oy}(o6Ab#bSM{TFG=0VUJ{$dD$kWqHbs2>14Gu=;(Lzot00; zG{-iDb`8Q$xp}~NZ$ld1M;m-B9ZrW-{9_00N9n|RvZ_UKeL9M=kN#vgPlu(g+X+>L zbgUeddwt6`6&Igx_0dpHh4Z?x01^=_Q%s*$YIOL_9g$oR?(J5cNgPNJ$5P9-Iy#|LF8?|ez`?>Pf#)F85?#@zAyU^lkc@7*{UNTM;pZr)xN(DoAYgdbK8fNrTD?aHF_HUrno!;B25U9?jGAv2O>(=hV zbb(YP$ExaNhorzH=Rl4EAX=)GZ>j1Nq}=d_RaE2U!b^R2VH*SUD8oW94G%pHqVzA3Lws_~E>?C~R2#USB{ z)cGl`1dunKI-$&*0F%JgnjA}$anVpeGO8#U@&gX04c;kOUSg+}i00wiWG_#Ml_pM5j4iM(DPGbX}6IDL^Vg@2#`Dk{4} zcNmo6Yva#>r%6OT!1wBBBHsylJGig@&(un$1?Z78mB~Y8*&6f((psyQmvS({N z=7-oSujZ72J;y&_RIctHF5iFhb;fa(^WbsO-Mz@pE|95G{sCT(zT|@b0lbz`k-jL~ zj0>Nh_%a+TfSTvRzKbq-cz4+Tu?KZJJocKirHsTO?^D9VAKuA0a;}NChARmVS8+G) zYfFJ;%FfD3%~brH$jT53$OND9)MH+TIKtit`xZ@~gpC(|EY$2sMHk=687hTj)Mb0g zOy(rP=EYG@zsOXguB#3zBJ$2)KYP(;)Lym%gJDT_3YrquoS#mtN7%(WHNf; zZY{Dh72BvC_wA-hf^w)?S>IqHR@b{Jio3<*ghT25gKy)|eL|6zH8l>b-FmFYvtn_$ zcTA7bA_^DXnAUEwk0I&>cSh5$iN@H$7reGIF}PUN7X5(~gZvQNr-#y`ahl;=i0tzi ztaN=-pYuJ2h=+)}`dx}gxOo`OdLyz;#y*oi8F7!BZIthKz+7K@9L3aTz^$z zH%VJg)ZyQ#tFEqr?g`axT_Fwl-o5HR%SDFmTQ?u&xYma%fp>b9w7qzxr8ZJj|*+=>YXTgzf_nTDR9IFk;|caqCuwVS}ww2yCzZ6@XfdU8U$k_q08>@~N$ zoUqe3(>M~m@joixo7TaIg>}m)?(cm=qc717E$_>NPl{U55cu)Unx0%0t`>?i+sB*h2Rrrvn1aoVvn%J>a{s3 zn9cD0kbNu_v)*@}+#vk5KY4Aju;%MR`o08Ih};}k8BB&zc~3tRvE@RebxLM$T|Bx* zbULFpr9d`~K~`KW8SKFiw={buLRogLPJd?-^xKucc|J{o`{CU*X@yBde)Y!|T7v`# z3;&GJDocRwyU%sHT5<4Y(o^}cC}ezMD2zH0jesAXg_7wpsBQ{>yytxs zLPl5I737G8S?U07Xj&w=dKz0N_eQ~?j!u7beU(c)#yIs6+%z#hQrI$#8aX2#DRbENE-H-XwQFF zAb1wi*F0EXn#Bmzqz@{YehqB7smGXQOSgTxwr)w}Pf93J}uuOEu zd2(-a%>YM0Id{y86s(I0N(|Z*g?G2aC)vKmgKjiuLSL zK03CEmOqu?v)YGFXNN=It~wz~JOLR(K`wP`lJMRv>;3^kZW(y;HtsKv!#P&!@n#@ZV^(6dMc=RG>C=M5=JLot|60kNrx9w~| zG!z{U)o8Abhf!8y-)oZytl>Ppg!C~QvNm@b-RQ#6>u>#5_((L4^)l{0p&tdm8f8uo zmk7dtGE&uG4M(29uolay2+-7*D+UThpegdXrXO1rZYFaSMqh}4Eh#9V*)swz7j9c| zB}WtfTS?Lz+9*VA2)mmx5epvOA8nm<3DADHoMUf(GTzINuqE>)BkQ?g8{@hZY{uF8 z&d&soFiD=Q_>_W@Lygj}tWxov&W7$@Z5q4+`W1h2XMq}}?&b~om|$_%++tY@mVgV} zFVR-O$nYv#RSJ>cu`ndgvyI3{NhoyGd(;Rr?UJVNcbbvf;P~M#FTvxbejG1b-hnF* z#hY@dJHcXKASl+|1-ii-eb4N>A-(EBjOJ)3%!jqwM69j;VlH~Szgoq427zH{BP&C6AvV7^ zDot5m^8Z=BFKsJGR8kqhCx03y9osfs9(ucBgIWVb+18B&KJG-RM#q)Jqvfa(KB2Up zh|d)~V8C|$Ok7F(IkL7g78(*s(ymXU(Q$3lBR8c4FomrW5!e}zvvtCu2b%tOxzy1~ z^$Jc+fL>ujRV#G_wyy1rWn7bhOTi7N_h}{&&spJkTq+okE&5}3WXQ2F%`Kk{dmW2Y zRs$J%b_vMQv$t9i5(oOtkAp7j5PJXFHt`5sA_`&)&b&YjC0`{5o7u0_1)Yk*@0F?a4997w?TVYjBM}^B`b6|VIKlsj zZ)H>oMN_Dd&MSckB94*qw)k`yT1I-AZPr8(@zM}I1*UM^=F4miI39u7@I?0a@exQ} zztmvq^+;TvXGz{Q5rq?`tV=ct#S!&d({{mk6X0@~f6a=iB*cCboUqPL#JRkd32oD@+`de@04=)xjwl?h4?sC|i z+>ScV(MxxPI{((YsarebC@Xc~1L>yJW2!dFzCg`LuT>uB+)U&hD|ANQqN~M=gv^L* zH>*IC#unlFr5q1af}Vb9Ex~KEP@mb4h1mUO)8yQ24mQl$E0|UnLt=Vh7r#&%cAb)t zDLa_}(rEZk&9m`1O{?FlXOsk;%1r@hlu`iRsHpJO@i@Hd>}xx*L<}T9?5H4k*=06o zjNZxT|G$=REzz~w{bN7iCq1RI{%Z>n_kJ8;Cf$O7fe&8H3vDRiK5Jv$Uqes+N;8qb+sRr^~Ac|3nDKlg4NAkCm& z^Eno>>ZS80!ST3QU3VlqJp{Y=Z2P3&6Nh&mO!sBAiS_*g;d@&|p_-jnxO z)AK9}VYwaq)_TSulE!<}QR-M|la;ID9ixeO!Y=d5_84S->;E+OBNDsfE}k-f9YxeF zNE?;6MxZObxA*2k1f?!A0-QWg>uM*$a7LqeTW3=UzEvqs_8bX^B>lziYP2~^jKY`9fz1Db?fN{i7jR~2fQs%j7Q9# z@FZK?SS+EDe}C%;;h&Bk^P$Qh?561}ftQpMz*fFeQlCEs2_-f&2Z^|+ZK>v$Po}vD z@VjmO@L|#4c=z{2JFE1DG938a8*t}#C3J+6cdCw5Bh>YH*b$dHsDI`knKvQwctqJ> zzB6owPOsi}@7NZ+n2R~yBhrTchCcn#EA4-Izik(&I=Y71z;yR<`19{ASYMK9HB;6I zZECh<+k0y%_H;E`!Zdb|`c#0ko4N4uLMhrM-4eaRN>HlHW-nq}i1?*WSq_S&c-DV3 zj3FcqTeoPjF72p*P{{U?jU%zhx$1gDi#r9+3!c2Zxh08GXA+H;XUp^QH>DBvK1TPH z?}Q;T%seT8$X{USi{PZs{eLds{SFPfJhfe*VVdz3Pa^o~@=IBd8>+BNd+ z%fe|^RR~$}@2abA5pjs*xYdK(Qi*(yh+w7kNKCdhT4>v!+v_dmO%z-Yqto^~<{ z+8*snHkPqO9(RoEfNeBU?_z(B=5j1%Rog_e%|pPH#NJ9e7K?H+Yn)tMBp%hNOK%N| zMCUn^PcC;NAgI^&JVP`RHCwlr?c$9F&AB74qt4OLV(H4yycdlNV{fLuJc%OaJ%jwc z!cjP0SemOa5RR9)$&<7`4DMMcZ|fz5BXC7R0tYeQdN}Y5cWQ(|&w8}g`t5guPam>g zPssDUu4n1N!=dP_AJOqz5el*89%VyfVMHDw$&l&9cRcp5lIpDu!KG~p7a7AtF&Ow= zVVp4(Bexn>>-B}fGbP=PsxX9D@5JVJx`n{_kpNX(V>rQU71ggzjDV!Ut*e&?qlo-n zr|$B`IJikxeDDsA#zC@fE(f8<%OZ_suK^KbJGYl*?1=X=D$)+zhY5~W0>&M>g} z1*Ty5+pWFFk7mMnTVvkF54l(+AoXY&5wE|s`_)t%k%uS6&wf>Sbs6F3Zhq}0RDm^1 z*`#APRYQ2)sx*zs8c2BM-#DjTkDBp2yL$;9?}>`b{9EH@^sRoz&iSGRZ0iNSa#Tli)UhQ`67;N-N&)i}ddBZN{8p!YkI1dKBNgdtg?ohTwy@uh?|75^+gs`?E#M z;j)8Gm@{ajAR|uqF!dxqZ zB$)euKY!~7RWJ~F)Q&o5B~Gttz}H7No{zk!LpR&ZE&;h_+MY8UnlGi zC*O_lcsIrUm80X5tp)54L(sm2)m!CDC}OPJniJkdfGS}8Vl{mXY-+w)O09^*W1ptS zIb1PB-iS=sqv;?l5i!rqz7vHBMGZU80}*iS;-o!8$mQPK_YYbHghN35!dcG5aP+vI z-Eep)lGwMSCfCF$3VUR`sqGk}Df!QY9Wfd+)O$D#OdNXLo?hX&cVU~9=43E7e#vb< z8yW_`7yVm*ZU_ZqXjk*o9l`L-VG0s9{08^c=lEp|zZ3oR!=v6Z6z3-{WY;wX!(TE- zspvCtp3+igs;XdY@Oxi`0gdaFszR^fA%^m93*ei01y92^qzc@{H!|?uO2%2)!RfN;j35DGWI-YO)l)P9=gUykqN?fQpKl%c|ap5{?k31$8#;+4EF z9=RyzqC!ti@O4=kMh&b|m2agGeq(*I=+;yeU(Cp>2#u8w$-<9tThhiTs&uoSMe$6wx zwQ6zjzyw){zYHA@;uRBP8gR%|c8R4e5w}*jePv^RBHZp9QR`eyB=!?Jllg{_m(O3E zOCFFy@$~FX#Zc8y*zU35c^VLgxh5Hv!y-{=sS$S7_7BHusRFCS!!e zqf!}1B5llSDwFJEEz_`2|Kylo(5yb!!GeR}-Y1S3(&aOIcpLAZPKL+i%bU|3vd<>NOFMwleS zs`7KeM7{j#tNupcpei%C$EV{vu@B_c1l1+MXi&>NGcdnjlPx z@BJ|OBLojs&#-^33B{48{C)E`!a={~t?j{kk$5?j9KggG0nziCJUa;eJ#H!YIiNQj zw5B$m!ym(me2RdLfusmrt{XP1r;5T}>0N6Z&&A@v_%um0J{cuVgHCNtX{eW9Ry@K( z z_ddH`4M%%sjSz)eB2R($i_*I~+)Eqikh5-td+5Uw?$gcK;o-E(XQCPQ7f&g75qxii z=0ex)zWTrQP=De(6>toc6{x;mh8Ujw8+1fofQ-(xe~oP=s8jd$AL`D7$nAvKD>K;; z52&6OdX@gyp53fHb(eR23bX=-D|?qk6ZP75@A_ZI!SPed#;V65P~Fx1!6zvKn(=KK zpB2M#XNA&IruHy6RZVTNV@ttOwn&+oiOm0le7A~xt{ci|Mw#2ueIF#NA^Ou@&29xz zcWB*fyi%|hE9kgP*T&@Fo3eC&dU-gWxw#c9FGR!iICDjqQ!u#5f-CRc34w)(=-ROQ zZ@A5Su;<-{FwoL#o;&UtiMXd1*I3AgVQEE$&KXx?UOuxa{NeL&P|40>l|C6tsaFq% zK}F}Mva8`(qLQ;JcV93_weISqZQ(Gkn0+Z~9*$e1ED5`4!=Tlrcjf3OV%(|tUDrzy zdUSc2Tw`)D-f@_fv$+#~VT+_Ezj_G7yw_ak%J>F93H9J}8-frh^m6|e20|W5m*#T2 zze0|0MWW%_@Az28u{~1u3oaC1tTHhRB<%WO9hTie5NYwATif#mMjQ=KuLysIx5Hy@ zlkPA0^L)FnK=OmfeDvSJd*uq>Gw&}LaT8Rz?hr)O6Zwz1l7fhMeo*8qst~yOHkj-) z55s2%%LJ8)P`uPt^>2R@Mv31N?=J{%Q|%8U>O&3p-6#mf*3DI%Op{>{a?be@yEzR z%tK25{QKA63t`6YqrGRAsJr`Jw^vG8@5?Y{Q+4#}?g~74m#6&MzY^bXx?~^TT#Y}^ zT_AW5@7@!S7wTZgo^;E7Ya@>P9%b6#(nQHyZ@{ht;`ecyY!D9f>g6A|zm0*tnQZ5_si>&_ zyk2~dL>i|fPWU$m-CC-D(;|_ctfyQG<=xeyH2=-#`{S1HTzq5kFBkt}@yx~FTtYc< z@h9mi?O&Jt>tOr?BqjQHb$1rJd0AO#Om zP?v&-DX2$5eF`3-;86-L!oTGDPfz?yuK)DI|0;65DBu6WfAzq>df;C@@UI^DR}cKF z2maUZfqfck2dG)@Qc?YOjDC5Aix%!8(lC>Vmu!S%_Qy9u|ZHov{TUmn`86U>aS+VI(&u{1U3 zlaZ3yEFmRL{O6OB+V=ZDGvP2%6MxS5=g&=z&zoDC8C(DUhF`wpuWzujzHr{$>e3lg zqf^%Ar!H8ZF}7qT{1F=B-!j7aCN5r0Q(JxSLCt-8|2XBpoXB4e>7p z+x_L7)LmYA;?JOv{)Y#J?YB3q&HtyL7G0cw;vtdww?jfAv3De_Q#rI}CuvEN+!!b6 zJJCIBNKGvsyrj*6$M*ii{~ELNxz%{HON7@A0Qw zq>m`0{bw>DuIta(E|N)<;alXCD8s!-Em6c{ab}_n``>~7BQZ>iH~UA}7HKDnxGb_y z6!|+~P*$^e{=e`)rU(8lC2IZe7MFkQ?E8xnisoPG@^639$cu z)2V0|6@}`2EoEh;qFvM$DvN6r9i*aNR2kY!1h*_kQ9df#MIEIvJ#Vpi7gV&1zfNOw z-eU1ysAv~8me!m&dGVI0Xcs$y)|@zd@y@7d7nPF9#QfA5OQT;uyLg*aw2LarKrGn5 zKU%zFD%wSLWir2FY)py^ H1&03( Date: Mon, 14 Apr 2025 11:59:50 +0200 Subject: [PATCH 22/37] docs: remove functions from pylint checks --- lenapy/plots/plotting.py | 1 + lenapy/readers/ocean.py | 1 + 2 files changed, 2 insertions(+) diff --git a/lenapy/plots/plotting.py b/lenapy/plots/plotting.py index cdb4cbb..fc63bbb 100644 --- a/lenapy/plots/plotting.py +++ b/lenapy/plots/plotting.py @@ -7,6 +7,7 @@ from lenapy.utils.harmo import l_factor_conv +# pylint: disable=too-many-statements def plot_timeseries_uncertainty( xgeo_data, thick_line="median", diff --git a/lenapy/readers/ocean.py b/lenapy/readers/ocean.py index e8e78fb..bd439f4 100644 --- a/lenapy/readers/ocean.py +++ b/lenapy/readers/ocean.py @@ -104,6 +104,7 @@ class lenapyOceanProducts(BackendEntrypoint): """ + # pylint: disable=too-many-statements def open_dataset( self, directory, From 0ebf11289fff5160cd786b09fac60e16182398b5 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 16 Apr 2025 09:42:07 +0200 Subject: [PATCH 23/37] ci: remove bash -l {0} from formater job --- .github/workflows/ci.yml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 4f625a2..1d17cad 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -45,7 +45,6 @@ jobs: run: pip install -e .[formatter] - name: Run Black & Isort - shell: bash -l {0} run: | black --check --diff lenapy isort lenapy --check --diff From 752b5e9e5e9a0f03890e4ecbf457f010188ca643 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 17 Apr 2025 13:52:42 +0200 Subject: [PATCH 24/37] test: add pytest parameter '--overwrite_references' Set to True to overwrite existing reference data with new values during this test run. --- tests/conftest.py | 15 +++++++++++++++ tests/utils/test_harmo.py | 9 ++++++--- 2 files changed, 21 insertions(+), 3 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index 4cba0a6..aad58cd 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -7,6 +7,21 @@ import lenapy +def pytest_addoption(parser): + parser.addoption( + "--overwrite_references", + action="store_true", + default=False, + help="Set to True to overwrite existing reference data with new values during this test run. " + "Useful when updating expected outputs", + ) + + +@pytest.fixture +def overwrite_references(request): + return request.config.getoption("--overwrite_references") + + @dataclass class LenapyTestsPath: project_dir: Path diff --git a/tests/utils/test_harmo.py b/tests/utils/test_harmo.py index 9f13a8f..b8f448d 100644 --- a/tests/utils/test_harmo.py +++ b/tests/utils/test_harmo.py @@ -39,12 +39,15 @@ def test_sh_to_grid(lenapy_paths): (5, np.linspace(-1, 1, 10), "schmidt", "plm_schmidt.npy"), ], ) -def test_plm_normalization(lenapy_paths, lmax, z, normalization, ref_filename): +def test_plm_normalization( + overwrite_references, lenapy_paths, lmax, z, normalization, ref_filename +): """Test compute_plm with different normalization methods""" ref_file = lenapy_paths.ref_data / "utils" / ref_filename - ref_plm = np.load(ref_file) - plm = compute_plm(lmax, z, normalization=normalization) + if overwrite_references: + np.save(ref_file, plm) + ref_plm = np.load(ref_file) assert np.allclose(ref_plm, plm), f"Failed for normalization {normalization}" From 203a433aceb07e08c5b4fbbf2c4e6f5e5cbfb23a Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 23 Apr 2025 12:12:25 +0200 Subject: [PATCH 25/37] style: add type hints --- lenapy/utils/filters.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lenapy/utils/filters.py b/lenapy/utils/filters.py index 0f98457..76cecc3 100644 --- a/lenapy/utils/filters.py +++ b/lenapy/utils/filters.py @@ -2,7 +2,7 @@ import xarray as xr -def lanczos(cutoff, order): +def lanczos(cutoff: int, order: int): """ Lanczos Filter Implementation of a filter whose spectral response is a door with a temporal width specified by "cutoff", From 64e6eb76ea04dd9670764fd2ef943f4386580032 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 23 Apr 2025 12:12:56 +0200 Subject: [PATCH 26/37] refact: remove unused argument --- lenapy/lenapy_time.py | 4 ++-- lenapy/utils/time.py | 6 ++---- 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/lenapy/lenapy_time.py b/lenapy/lenapy_time.py index a6764d2..2a41ec9 100644 --- a/lenapy/lenapy_time.py +++ b/lenapy/lenapy_time.py @@ -451,12 +451,12 @@ def corr(self, other, remove_trend=False, **kwargs): return xr.corr(r1, r2, **kwargs) - def fillna_climato(self, time_period=slice(None, None)): + def fillna_climato(self): """ Returns a DataArray with all NaN values replaced by climatology and trend Climatology is computed over the optional time_period slice """ - return fillna_climato(self._obj, time_period=time_period) + return fillna_climato(self._obj) def EOF(self, dim, k): """ diff --git a/lenapy/utils/time.py b/lenapy/utils/time.py index f2cd39d..1299095 100644 --- a/lenapy/utils/time.py +++ b/lenapy/utils/time.py @@ -379,9 +379,7 @@ def JJ_to_date(jj): return t0 + dt -def fillna_climato(data, time_period=slice(None, None)): +def fillna_climato(data): # - val = climato( - data, signal=False, mean=True, trend=True, cycle=True, time_period=time_period - ) + val = climato(data, signal=False, mean=True, trend=True, cycle=True) return xr.where(data.isnull(), val, data) From f3697cb413a3c9b641027dd15cb15adf397b5d24 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 23 Apr 2025 12:16:03 +0200 Subject: [PATCH 27/37] test: add test_lntime --- tests/ref_data/lenapy_time/lntime_climato.nc | Bin 0 -> 10715 bytes .../lntime_covariance_analysis_time.nc | Bin 0 -> 10749 bytes tests/ref_data/lenapy_time/lntime_detrend.nc | Bin 0 -> 10715 bytes .../ref_data/lenapy_time/lntime_diff_2pts.nc | Bin 0 -> 10706 bytes .../ref_data/lenapy_time/lntime_diff_3pts.nc | Bin 0 -> 10715 bytes .../lenapy_time/lntime_fillna_climato.nc | Bin 0 -> 10715 bytes tests/ref_data/lenapy_time/lntime_filltime.nc | Bin 0 -> 10715 bytes tests/ref_data/lenapy_time/lntime_filter.nc | Bin 0 -> 10715 bytes .../ref_data/lenapy_time/lntime_interptime.nc | Bin 0 -> 10715 bytes tests/ref_data/lenapy_time/lntime_plot.png | Bin 0 -> 79000 bytes tests/ref_data/lenapy_time/lntime_trend.nc | Bin 0 -> 2906 bytes tests/test_lntime.py | 131 ++++++++++++++++++ tests/utilities.py | 44 ++++++ 13 files changed, 175 insertions(+) create mode 100644 tests/ref_data/lenapy_time/lntime_climato.nc create mode 100644 tests/ref_data/lenapy_time/lntime_covariance_analysis_time.nc create mode 100644 tests/ref_data/lenapy_time/lntime_detrend.nc create mode 100644 tests/ref_data/lenapy_time/lntime_diff_2pts.nc create mode 100644 tests/ref_data/lenapy_time/lntime_diff_3pts.nc create mode 100644 tests/ref_data/lenapy_time/lntime_fillna_climato.nc create mode 100644 tests/ref_data/lenapy_time/lntime_filltime.nc create mode 100644 tests/ref_data/lenapy_time/lntime_filter.nc create mode 100644 tests/ref_data/lenapy_time/lntime_interptime.nc create mode 100644 tests/ref_data/lenapy_time/lntime_plot.png create mode 100644 tests/ref_data/lenapy_time/lntime_trend.nc create mode 100644 tests/test_lntime.py diff --git a/tests/ref_data/lenapy_time/lntime_climato.nc b/tests/ref_data/lenapy_time/lntime_climato.nc new file mode 100644 index 0000000000000000000000000000000000000000..de31b1b2f24405a81dd796bbe83dc60747b8ab3e GIT binary patch literal 10715 zcmeI1dpML^`^TR#$YBVHdY%$0ha4KmHa2A;q*TU6WKS|vO*x-KMQSH0I@yX4Nw!n9 z6D5^WTPf8}&ZMN;Qt3z}@4aSt_xtW^zwbZ4>-W2^-*wHpu9@$%*1FgCzMs!}W@f3~ z4z`PBq(~_d2?=7Njg7Zwk{%!b0X^eF}le3)Wnj%s+0&p!y)3z z_?;$--*FQSz9Sl`GdqSF}y`OV?>FG&zR)A9~?N)tqUjO1A}S%R2XKaz6_HXw(Wf<@}NgD-x``rzDroAP9%l=rt;^Kdxzm)+^P(fANn>HM7CrVa2i;8sI;4 zUM*P*{Jmycy_^UBMU(a1fpCad1nsx^;P1WRJ9R_wm$}C{U=03~YiwSdg8x;`Y2Iew zAGELkjs^HfNH>gGg1<&cZr~#D*W$F^M&RFayTlyO#akHMPO}I9J+m)}EdhUvq`l!w z!QV2r_CCrOmZF1Xt&66NBc2iD<-UPAk zk+jV|HhhjwRFR`TP{%-#!YU3to3g?8>(;?CUDJKv@gQDXKIh;j*d6;OZ#rzJgzcHY zAA>L-4d;ds%xAB%U{7?VvpvLa?n%RwGx$}FFR~F7cs{rlNv99KXsaROjBH*YBY9J%{QW zL8a9cHJgF|o1ayFZUz1f?+)<}(4|Mc)^-7Z&C#L<-N1iNOSNtf_+DL>nc0i^oC{*S z1RX%<7WQF2=^ADIm`{?o6nuyGv13p=QR7%r`o=VZnTC$)+ z)|NZuK-1mYJ}A(DPwg?^sWjkozVWg$jks`kMxj0lD&wh@Gy}9G;Kmmf8sWg~NaU%} z2v^fp8#8Bv|MM$W3=L3?(dzYDpf}~cn&;uX%i9d~Ku`Kc=FSKIk!EcLLr{yUh5p8% z?b?ewO>y4!H@-8Y5u#69W}UKtx{0h#Wh)x+KB3KC1X^EtvjNeFb%$3yo@YlRBsh{4 zN9>`F(_czIInoH*hRc53rJw;1B_BD1mdfpBuA~v_ljaO(vmjn{OnT%8@XZP9+vtJ$ z?B3PpiTNnk%Xs5DuY_%3V?Jk!T6{oH-EeT=fW8!|%UcJUsLY+h1J%+MN!SFsffwK9 z4=S-$#W@Jnq3T#+2e6P=Q@bj4V)1kGTiJ&nwMQ>1P`+_xOPdBGvj z)cxe9G|c;Xa$7q1*R@SO;Gg1nQM?%VUmNp}D1|)TwK~sF!#e5uNWEWa@O_eMa;zNqhsWuCsQ{j~OtB3Y zaemd&>z6R^-it<8XvCsBzeMHLK>V$pN#Cvm{})Rf0&YV5v$>wP>cBTH<2$o@SjQBR zDZGoHpKWj2??L^~d#^eDj`=iyIoXK$ST!g$L;WKs`a)Wv4yT`6pR_~$BcmlNyP*Ej zx6g{ZF(0=JGkP!|hk?jm%%`mO#S6?w>4ezBmuR!F*or{NWwuLwZ@0_sxPY4Lkio}0AD=HGO zjq<7s|9Mt4mL`nH=x~ntmouZFhM{c|3iygnqu{q4x2xg;oj5hp|F=(#fJ;M?>ofC$18Cr4xr(0YJQu^W=Hvig!pV`b9};l1XmG0a3ovn$7QoAI1%A? zz#uw}e>k%h99gB|+>1}Xi+O&2Za#kD+`r|APv#SOCRE@zw2c905`31OOvquUKaaXg z9a*l#bO@7!7yg4o0$zXTgdHh3nc;@7-zw70agG1nA=p9OCU%J72Y_wH|)>U95_@5;DaV1f#*fBC87Ga6;06MhrnBOT{-`0ndl2u zNI*zHNI*#7|BisY&2l)UL&IO*(D>J&_*VtDiGRKl^a!G5^2C);g#?5Igam{Hgam{H zgam{Hgam{Hgam{Hgam{H{=X0yF6+6|*G!`7qH7jOoh15IDy!jk3yF00?L4~WcM>@a zZLY9_dCAR7OTR*2XQBH8I`qZE4}83Mn?#|(9QKnY675L}byIIA(W{HwG&>)WD4^t1 zl^Bc%_D?+&1mo9iA2s^5k?6W#TXJ~=iH3UaXHyXO+Hleo1Mrm^+7FrN&wfH8>RRYaABbDi zaWKE|0g0BZ`m(~R5!RhPe)=@{Z4Ar&?ao6I^}Ftg)P(uB<^9R#;M4bmyk;t_yIr<@ zrqf*#<^KM9)yH}geY?N$;sb~?pzTO3y#@W@G?hs3b97J7=fe0h&uF=N;6R&KChY;- zbQI4R2Sfj$U)TK(@NHrG>RCa)g~zr(?R`w5O&W0lhhcqq%d_fWxL=96j%6&!>v#5p zFIa90}un z+G;sUy(9{jbEv5S&a9UF3?0ZDeX0KVJMhm_2vvLse4>I1SFnJek%{(h`+FqX^;_2M z5s1rQz9hC2>egL-AuHhRY6>K#bZhr>MK8}&P;}R*V9#>BjEn`w~8fihx@EnVyZsv zA(5DEl{o7uiKhNKYh@0oZ*fl4dB`WTBhlbJ{Zb>z{|sN!|ew!9-Z>}u{7lIZyI_39`dlRz<*N0JWKl^$$3E{d(VubZ16vE zA@)EN%qz{9&e4MTVX=A({M_BClFBHCakiPhTGJo!9B$3(+VmRN@kk`JpG2nTx`wmg zk?4pr(yIPKqVLttyi^;2`a2G^xW6TlVp~bQHS{e9Pv;gwU-tUjhfVK+mzhg2=M9Mv zuQ>D@_;M8VzJ)`7!8z8HUp~Wg_kqXQ_zIrOOKBQWQ0F598Kw&OsEFGi+70u@B6V@M zKf&{VCZ2R1gy-IQ-@6*9E7fOJFJ)1jy*LpOroo`Rk@YWm#KNeIVnXUnV;27{OA-i zC<@k3_)4O$g9fv7M@cl`R(Wmx2#H23cn)FU({NQq=lB?jW_o3(jW8%Aq3lttC_|ye z0TpZ)(62{OOTQfSHxK-n4*ib)H1{T13b_u;ls$pI8MFJ{T*%idJ74*rJcT~KzbN4d z@pJdA*`fn#Z+gVu8^*8vl%KnQ3WYN1ZjEb6nEzwi-K{ezB>7=qQ!GUxC+61k8q+B> zC+uwJ7Fbs^*wivdkwPw7<<=*me?_O--)kC$O176yj#r{k-a!qI^)P;%+Kdz3^o_$1WukQVsYILjIYD^MtBQ>4G1DuwP2WPUDz zdNPf3Ph_Z5$p7qtGA( zQ$~L&+c=v-TANoR9?XYU&yGoh@fB6=PM7CVNH%izjzoyBockqcXcmQtMe|FqLi}*J z0*Zlre@sd`a7%|mRVpfz^&oDaYTiO6n4jJgQNYrqko=JSk15cPoZnextqpwgD?FZQ zQ7Gc_Q14t=Ums+2v`e2t1tr=EE0`2oxP6o$4WZ6d$J}kk6pFDNW-p#kp=m8Yc`{5X iv`#5cF$l(cm$kmBg>_of-04LI6taodf0k!Np??61A!057 literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_covariance_analysis_time.nc b/tests/ref_data/lenapy_time/lntime_covariance_analysis_time.nc new file mode 100644 index 0000000000000000000000000000000000000000..3dfb414e91a77d300b9908a9294ba547df0d5919 GIT binary patch literal 10749 zcmeI1X;f2Z8pq$8umlK;xE4_nTVyw^DijKaXb=o46cvWXNPca<>Ts<{KMY7_vAVqHUv^He#nf!qc31UiA1;h%jI&i+hx1O&?>kG^ey(ey)Zr zLScxR8LnG3;iuTbW8STo3AQMOqr$CcjfILAi{r9w>7dEaCr{Z-QsS0^YGHvSw zCozo#d9+HIEQ?kuq{&vvaz(Vv%9Y3SaN@Z*xwwb9x_P;Kdb!MYc5`=|?ZM-^5Xg^B z4AePBOX6h;sYFE^;-sTtqDmPrOH7eRi&v{;tCcFbL_x@hPoB&U;R}P*lM={-!o{$qxO_>95J2%Wac-+?ltoz62)>;xG zELgvCD$HP5@eBVY)4_lK2NTZC0Ds})MV2<;KXhz*t}XaSPVs$U5B}ArPRn2pRFP@a z-)4b-RO}pUSMWFP;C|!|{-)>nPdvf@?953~bHP7x$Kx-&!9UHYebfj1ZB+Y|e&BB_ z?YTS;{JSq7^a6BQ-Y%Dm7l8lv87FiXg1>i8UTQG-`)p{wDgyr}w@dt%fd8}3j?z%L zH>|gBHVTJv{1*FXEQfw^;d$pH2(j5VImk7NkeIKG_&db#N!#CKF(QFH2CL0iNa5}^ zNxIq^1Kk`wcg&GPyxo}ckKk9_`8`?wJKOf8tU6ZveB<`*NM^wNhV$mfPKq7?ZAkVS5Bhu#{+#VIch`ef z?rr8YfIhg+mo_5Dh5DT*!GH4MKK>c-pHgAI_Z;Y{<8>y@pdx0fdA87Q+M?Me{R%uz3ZUC ze~w&r6Zp>@ss6Gb_`ltK%5eaE&o0`t=PvR&n#g?sIymp>dk>LMiA~*Ot)O&nYf;(uR-TWJ#IPU6}IddtZbGv(5r8neF zKDjZ`mjd4V?ZkedZ4DRO=TRi4XvHmi0Yx}cgX6mwKpux))_xaAk%0Eo@v>l0#orCS z5`os5ZR0JWh_(LPul9yQyw0f6@cZCfp7L9=g?XMy*(gRnhpW3K zpp`8`p%nB1tF7>;q_K3X!f11 z>~uVzJo)50(8{e14jb@%^X#pgkhcT(MJ7eEh6`;&H-nZQXgR+H)VpbwYc^=c&^LKG z$eaJ-hg^y@)Ok2B&xd?h?qRhS!gZUmyJqhMEhw~zD@NY;a(hd_zqR{_5KX}^OkL{t^)u3z(&0q;D3HJA*~k1>2G$p zcL@3!wWT|KPQmk}z@w}l_@`z%y*v&)19-ZzjX1v5$c2;0`);G#8H)IQ@z=E#=OF&l zmYg3i0RQ_7g^G(1f9IWuOReCWSvqHK8}#F`jH|BT{qy0|z7EL$-re&-*N{)w%LARr z$G3e#7vw*@|Dmb}@(9}1^GzS*KRj}9$xXeE`}dL0 zgx$*?g8zh%*XKM&J}*VDo+6(|Ti*W``7DiSd5(M<(x!ipe5z#yL&#^07a2xA?4-yM zBzNB*z@HU{gNuosR7+U9u3OttWN<-}R)ra;nl) zPPf!q5TZ#(yZftJUNl^T1(-Hp*01KP$3qhepXGF$@(Xo-ngq(aRq;^k`#{Zvt)`A& zg#K7>zESr659&>`Ks3`_W*D(&FF&@l2Aq-zEX{wU$Vfv9Fd13E)~odEES0O0x>lLtu67WL}1Ln^A@ULx3T`5cm%Q3-}>Wr9;E#D>Ur` z9v}SJUjGZF-X-0pnhi!60t^9$07HNwzz|>vFa#I^3;~7!Lx3T`5cu5@VBY^T@Bf+i S|IGV;=KVkO{{Q#%{{LT#yceNOC$Qw-5@EZ$nfX!s+7DG?`Ho2IE>TjU<;`3vp0x6^YbO zB~g8qj#AV~Mbr_M=%!MX14I=|icOg|+H6Oc+rjB3y zMF({QW((4ny+ff)!wl;*1r5h7gDanjnYoh-={bSO$DyXlYqt=YwM& z;{%!aF9$*;a8q$K4N>8P7<6`kJIlj>=HtU-ak$I?w!a{>kdvw)K>{)dptr&olzLoB)4;tu{QwX?Szoc|QJZcONdxU)7(( zb!V&U>*^Y6>*{Ii893=LF)=VQ(Oass#9+x%LtUyKg8amhv@l0^rWc#bV)6urcuujQ zFVDw|?Hj;xXKd%OxBKuoOfEvQ3#1L~Xf|u9R?tF_zkmvZPP6Cv__BEc9Kebl)Zl|% zg4jHNjt|#NUyCc?Z)TultfQ~BgXLjprl+H4ptFP)^n?x#1;wVqqs0fhIi2r5R{&gc zJl4cdnTSyKj^(7cG(z383e%s+AQTxYeb!hGA&ti2ykeLLUg);KSrFDQ-0776bc8Ny zU*dPedr-Bw?1H%>Sa(iMC|5?vCS~_l6__8Vj6q`kJn&z&Wd`{Z_}kd8Q(gf6L+9ru zsDr=D9P?Ki;9n}Qy%7lWT!JXSEe3zL9m~}8!C$tSde8v;Zk zxorymK{8FFX5hboSKwm-{_3o@TPwl8^;Ve)po=usyOm)L{s(@#IAIO=o5m*w+Je7X z*!8zol<5T~?O-wh#;2QsuI z2E0c_mlQ{skVk*%l+7$yn{s}48$6(!mQm6&4zyo1Iq#4s%#QU#H*uIwDa$iHTYNE} z1@tB!=98#q9*Fr&lJE=0eEeEFcVRy6^2@_8pPSvK5txrIl8VH9)ZPb0VLox!UPfa+ zq2GvD%%`jAOg!e(GC?*G^D%iGmW=u2m%mBHd{k2AreQwOtmF*LCpfz=6Z3iE2sR4hbGwrl1;6JBu%25)u_QGko z>!2e8Iy-Lwf3dUo+8SUSs=>*t8=>FY@b;8Dps!Oy&|Of?=0TU=K^wc%8e2eR=1p7p z2>8D{ta7*w_*30FBs)NDe|6dR6!JFEF1rvRVxEth9f(8W8-B|3_rvd-%9%AjT3`mZV!WTV>=%b7<(PDYz| z=KKWyFRz$W7l1Apsoky)dSkN7BMlta?yeNfZsCEf<0?Tc1D zF~V`T*Do`sAc?Nlxy7cCH#+iUra1+87cF8~fHqd$Xj(}@9_gF^(6FK)DVFqwENjT4 z;%oWm)f8meblHn-3(CDO{eTWyt`MiYo`TdS&i{7Q5!y?P$_)PkzIg$CJ2zoIaWRjb zF`t=@vTiufD*@pQ%;!vLD-*Q1-o}On`bw;!&;vAfCVMIeR9#Cf$`f=4C-SK`s8oas z-51p6Qf>(k^i{LT>_E`i=Z|88@pFHrnq8p9F;$vj`1$pvF%g)zCUuZcL6O6$>W)#M z*~jbaqCrhBZPSkh4IO%x7>{|=2EQjzP}ONeolVJ*@75f#hEy20g7~AQX`m^oik=ym z_sfLGnc&~hdd)B!{6kh`9?J!v_G6WlJj^k((6<2d{t?_+1oQi(zufc$_$O|RDlGy3 z!EZY*S0#lyergo|PoElvhgSC3c^Q7Oghgrm z;$NtBUm61+uOxMG0}9@$1!WF{5yIs0n7bG(W&l%o6~u%i*)}gWgP{Z`B3usY?amM! z&MbvTRv9?=;*;+xj+fU4rdJ^QZ~5Vq`FNah75WYBp~9I2pJnBd0(ScIsB630(Fx6l zW(x4Ze{e{_=kJ`bqY|9VaKYE_r-_^39RE2(FoU>^&k)rM{(=!i)Ws1UtX5e$SkY-# z3_(OAc-3%3Ou?TW@MmZi9ICnapoygLa|vvTRR1=kaaw{V@U^?)oM5$#*F`EKAR-_l zAR_R8N5Gn92d8u>c=LuLxCX_)D!7dQ^OdlMP^BU^pyjTf zP7&aDcgU@xAcsHt`{dvO)-Cf3Pg1AN+sNUfg9Ve0?PFrNqmKvz{G{hO$A0*M%dnKxKIV1}5 zI(6kFj6+{xdHbThpsic=LxA(_NcLreGy+K|vPz#pJpRvfiVAE=6lc{uaWC}ml$c8n zf*LKi+w=we%Z$>$p$rmLsM%hYg*dKX%u9y%kmyU=+z(RVKkJz0nFe+*7!X=jdz_?cMKs?e-y(Uyzkn z@-C0$dlw|1j6P2C9s6?1_Y{)I^0nM7k2Df(%-#y>{MGg2yerrmN8qRgH%mC*sVpa@a9}^crOO#Hm-pAe5q9J@({Sh z-ie&=mp~x7Z5EcFA_zb%#Fb~FOBMUN)5a_es`k*~f_gZ&IlYsYNzGA862VWBD=*oS(4)f6W zpoP9GnncqQG77f&lPK?{*MNi-fpj%reP>0$d*4-T+6&|Vz-HD~q{BYcsG>>2eiPs` zvv2e$fyf6_W4A*+uVqiyFTMnFDw#I9Y%htVH7qR6;XVDbBYW{R*l%X+3g6-n<47a2 zjeB9;S83@oWSIoA{Cebgbs&KX#oxryU_Z0AZgUQW{kpGG$JD)mK=;E>&-Z~iHJ%d48%YPO$1%To{DjtVAF+mdt}N$`)@ zeQ&WbDQ~NaB(+&~*kJCSC^cE0&W@n+! zAB6;;t22=8nh)z#G1Il5?e)j+X literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_diff_2pts.nc b/tests/ref_data/lenapy_time/lntime_diff_2pts.nc new file mode 100644 index 0000000000000000000000000000000000000000..42d93467385e4efee16595032810961400bbfab5 GIT binary patch literal 10706 zcmeI0dpOkFzsJAd`OXY6GVX~o3_@sz!MHEEM6S_oml|R;Cih#qxrC&WbWw>Yl@g`M zmc;7Lc1d@3RI-(BQaNQO`K@vJ?Q{0?`<=heInQ&R$9kUmuJu`$*ZO?l>-)^SzmwtY z;3Oq6Q-UNej!l-)iE>|eyoWV8@L<{nPiF^j60MS?G1fF`5(vIn1U)M8X$1&@5?7+I$bpN&ctp$6YIu%wQ1v_%|tIIH`(}GeRJcH zM`P(rHRHIvXpn^C_>+lQlQlsTWlTqEj0*xV%5+f=p(lzbGDsTVT3l*;@!ko>&v$>bb@LxThVYg%ZPsL&Rmll&`<*s$Q3=rOE58Wg1w<{uUw%?}6<3yfw& z2Zsgl8AdFYi2;jkV9a8$*%l@o3l`gu!!k88VbRzaN{_&%ji(skAHoj{^p6_jiH=mn zi--yj;YY*-2k_QL@z;h&1^b6#SmLD*>pktAU1^SJ##s7eqVPQIy`sV+_)#&zNL3L* z1ARo4IDS-gaCn%tk$%{i{MH;pb3-G2L12)HHQSKQF*LT1>+(Po#|m8)f+neH7=xRX zoTDO(H4AG?bmCR8`23*hQQpSdu@8zrR1zBboJumx7rK}xR+uDLH2w#W^ za0$JRCLc_m!@8af?-gP+lnfRgxyI8!CclA+kegfXsNw2**oQ|_bq^R?gvhhO+*LUzb zbJ1hHUV01n1TILPyFYh-8IH;2eEK#}h5DZ^=#GUrUG>QJ(v(J=!Cl$7KKnl2EIjym zTK`i#KL3GA-ojp#zi&wY>3)>|p#w>jA(VfJTF!QyRNH#mS*KTmB*1$kYwYAn@*MRe zZbxU4V9=_Y&%SG;2O%N0GLc21tJ+j0W}1^2+@D_;9+^*S7Fsa6zPXa(^W$8?7cU`| zZyP;)?c!>Z?`6vyKGFgbJx|&_cyA=)yT%RoZ$$j<1(~j?h<~#|?Q|xIkz3vCNIppN zGw#Sy$tXnp?jG-hXAu9G=IoOf5x>j59Iqv{x7`yyUUiGq?scUmqo$Rl>18{RuGEhB z7dKkvbt8U%QR~oKQUj+44lW)fHB>g!PhS`z{ZW(~8Z=#uU@>pMJGYlk2=IF}!v8mj@qI+IFv{Xx zKpqjFe=cAPJV}&qGpoEi`#j-X6hCxnb2X}`WmjO=31{Y)7eT98iDJIZ{G0gS$CobY?Uerj|9#j^9j%+rMWa>41afu>3nXV(?!)REh-3i}?W-XXJ?$Bg%g-$VPC zE|#|Wog8r&%lC-xAs4zWPBFOmp3Hq#_hN^^S8^dQntwWDl-$;N+co{QI0gG4b@k>t zSqc{VjTYaaLOJx)U-(E;KK3~6s4IWd< zw_VarJ^GyDT=X?m_@fWi=~O||XNog3a;Zw!Fy%CNAmSF6LY3!iT>f(3bSez0N{$&& zqGH$+qlK~R)Izt*BM(#bsO5qUHig;7)MnwnuBZ=I)cE|nRLVjpYWcS1%a)z?r21ao zpY(?O3zeQHkQhy0L#=H+VVwQPI;sHg_GQ||BL1vxm+}*+dzKbG7W@z;#pUaBCucAd@Fekvw6r}2pQ5b6(6OM8Ng(N*>Rym}?X7~J=T zDqrNpnuR*Qm3ht*i_Z`IVq2;$R=(|n{ay){nD1rXP|daGV)VR`ujX&(i`BN8Gn$>; z!~}Sp%j%*fV)C4eQ3Io^#b8kXk*&T0F$|M-U)~*w_;)jzA2%X?R%`!{6vS`(mh?*| z;)|)vRplW5o=CoYA>udZev3GR_=TEMgBKCM)4jl}7V(wWv&(KF{*uBQ)9xbfRQaD! zVB9KV|D9Eo7nw2{hV4JCB1aPAjG}MO|7;n@a~Vn$mld@Ld?s_ery4zBqB3b3iT`cW zIPO^kC+zZx@!c^@WwP;a>I1lEyU1Qq$6f<)@}v))#pA{MM@9K>;05}}_>Z^Z{E;PF z6T;{5W=f9Zs&79^88c@N0*6z@^Obp~n_i0qPIKbcgi%wY#X+dobztMiSI{eK|UZO!w1+I|mUQ*+2 z0?3Iwj5nK_gUtS)E9I=Y;LO_hJtyvcu~ojOqPu4EVEr$Z9)iz16v4}rjcL0Vs6py8 z)9Vp$P2q;cI}LSIE#dY?GyRNE4d}#AdHX7e1fRu0V`FDM7-XVWeW*keSYFhAa02lS zKJV&Fb(8`di3@z#VGHgrD_}UBmj}x8@|G_s)dmjdKG$?#|5m@{wfO2CYpmhOS)J6b z8Z*eYI)90I#1z(=d^%<9qYv~{V$)6y>OvysN&Tx}4Pa}Q<(cAQ4uU@&57@yo1N(+P z?#hg#!W+i+ii$WJl&t5Jv}}?D^KKvfc{8KI);F=GbZ@IIJYR0S!s(hN?0>PStRXYJ zzU5r;0ba!nV8bt;zWzKDu8g>N+~MShdRN<7vm9oagW{AoK8#H^AS6Yh(teRH+~q6m zEWy-4tnk&ZN|)7v)YZ37bGxMBC50c`C2yO-p#jO&M<46J+oL^NQPPI+<2;Z3iN;27 zZs=3j={CuGR^}8A#_|#Bg!rbnh zv?WY%@KvEDC^rK;U5|a7ZfOK0N8B2+D-^)0j_YdLR5|doex78Pha6b7bNL?T9x4=+ zU*Ifi)P?8RY9B2LOSt!Na^K)W6L>$EGq9|Y1wZ^|6WohwfiF<1NB^lcxEFi!Ew)@0 zUYO>7+uqR{aIzE+l!qIGE!dT1OY`Rf_Dg4#m_71fkz8q0#Aj1@OwnNG9NT&DSO57( zpT`$e87n#lIS_*3+H+-W_)aWTSt!Yc z;bou|@wxtl zQ`6&gDK$v?H8A*3^qd4++~J+ewuRVnJq_gqHndKCaAS7BHQOCIrcx2V_Sil*d*5|! z$Q0z<5BKj+R0RCEYMK6(E@1Rb*(|yJG|-$^!ah|uTo0t}w2rSNKvfHH3EQFve_Sof zP<66^o-oQZOq&UJS*0)KIY|S#rmhZkZ$+qBpnApXoFaH<{UqqJo)L(wJ-;aFvL2 zduh^to|yqkCH$WLewhkp-gir{Uor<2J6Aj{sWJuql9E4Tb|?W~zkuf+mh-{7kRR)S z*C*R5MzWdJ+POehgn`Z_&ot_+G;|7!+6lzi;QQxYRptFg;2$~? B^Y{P& literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_diff_3pts.nc b/tests/ref_data/lenapy_time/lntime_diff_3pts.nc new file mode 100644 index 0000000000000000000000000000000000000000..92b56872941ec1f3c802cc7c34aadd5e4c3709cd GIT binary patch literal 10715 zcmeI0cT`l#w#HA>L}?_8l7o`L?xx8D6cQB#1Tlcvwt(77jsgaJ>WCP?fTDn+sE7eY zB&tJ!s3?L71!Z(l6upihjsX#oyQ_ga@6DR~{(0-Ywcc7?Yn}eiIkoGneSUSqhOM5i z?lKcpCx}Q&QsZr8taTcVo?(u4T-l;%6`FT%JeqANH@7a8jsAM#h7AVSedh`0** zrHPVX(nJ&Zk>T%0_bFv{igeIv)L(~>AIr&+(5A830>;LTo;6^M9y*Slr4+|^{-OiS zgeijbWm;%7CDJKEqtQCXqQ;fZAQ{U6jZq+o5}QcQ(2dFQSO)2%Q%lK=4&FWHF@7Nu z|Mo%{&LoshDNzjAD6UU4qV5RbLB_!!~SbpFp4yWC#>Y3X(UGR6XFH7X3$B}h~$UHMaPGSMn{FkYsd4W zLc_J$Os1t7lV!%@%w=2HajfiE*5(!*3u{XzgGE7pbV_P8$538GcvKiKPGCsZlo-au zMMs3kB=AGI%j3eAN5}DbQ4}SkFU9e7@$_Q2L4+WG0Tr%~i(g!HOn6)ZAFvV!UD$|A zQg~cEKRU{RZ5k!u@4zv)HD{Zy2wP_9z%plX%q?7!p87zbpn0BO))o!J=2muB90e}< z%VuRNNKjPXil6Eur6{U)$4)3r{8RKeenNU zsk7Y>{DUgVhjE; zJKx>52md7L))5Er*N;0Ijlkb9?D4G`;NNlUtR0}+V9&a>&jb9o>D7qM0)P9=9f{uH z@35xvF3_myeUXdifdBipJ9z=H^19nLO3#CNke_qf0vNYy-j0SKiqhYz=EV-7sAUhO zU3PNeIXZSpb(jZv^q*E(7zX#|#Mrw{%V3zP)lM5e#2d*M?pXz^Me~&VavPg&wX#l^I`G#hQaD@> zdZp^z#75BJPv$GH1AmbV_Z~OFb!aDN&1{BoUTZtETR?x`wVJvMYI0{F_&#WJ_ul3< zP-z_{gLdHGw_kJrW8lvS`BnT^Q164mOP>LMgW=Qnx`6-Gjw`0!;EQMH=f5I+F2*q4 zfcDS0==7HG$<;sij_}D0nE>zb?v8#|>IcGSzR#nNpq;CJcl!dGmYz}Z74*^-3Hc$y zM^YnwnDF@)&^ZGBg*-zq5gH_rbgfnt6pKpriPM13nF}FOG~jdSAJx({s=HeB7sH95 zU!5H`$${q1d-73%27DR|LX~O2r?TxA6&h93qF!RI3Mvz1n5hnWHtO1-CXMoB{+hwp zp;2?K7Ou?K1OJ{nM}|JA{_vIMhM?EwgWHYCyuMG^W}qiRlaEdZ|Dkpx1vaR?a!Diy zwA0A_sTG-b`869`8YTLoL+hkHVOC2aelD$^Gq7$+WJdGxHo9j1F45TprvwKnR95AuEf-DhXWv9bVPb65PS<0-mY9g z_-x(sB#7`)X_g5gdDbPY&f$!UCRP{Ma^95Ou?~;6xrd@E|a`blV zy`b5c6WM zl_*$7d2OeE)ruTxiZeooI_5vsjH5YxT`#FX_UJS<__mXV#Yc6#YNY>fSB;}ZYxr2b z3}39#rZ&FwZ`9-MUM?xG#F-?3M&8tdrorW|=EcSFQn+Ef1m5Ug5)VqUr4iv=t{PNC zr0r&SjKT?^G&oi#0eqYx!pe7-;tSlu*oc=6z zy=Ml@rKUib9Bkwd4oTSl&WSjxL1ji7*?+G@w<9_JYlUD1NgH1wMg;r?Bbbp%X7qP+ zck_4iadG1cX0(Dwjm$_W#D^#RIdvEm)lsC-q$EkdD6yop|2Cs>T7nSxNo}eS+%4nB zLKPAa5)cv)68OI(;Njv6RXQ~C@`fhZ2PIz>(#HRNHF`u*9kSzlLKPAa5)cv)5)cv) z5)cv)5)cv)5)cv)5)cv)68Qf@;AU-6f?v5cq6I7(xoKsBWKP)LYTL-bZsu@`aX?3HWt8KMWl2%pP zvk^V?qjdGzk6SrNRpN!>4OI&?^Gx&~Sr_T3XZUiu=a&H|)v~!F<(*&ZOy5nvUF)ZU z7t6H{(nHvI=Zn&{Ua7WtP~X3E-CjLB_3Wbl;zyd;V(}yKXY(~tPm$R21Y2uVIN71< zd!-GkDzH6emTH8$Tk`If)tqxNt6=JRtl7bEO?)Tat8c&aA9Z^x_bL14u~1bO!33}SvqB_#Br&UX#_J=2W>hr zN#aL|D0(n&dx5QmDPGNU{Cdlpjk%0%_2ua%xWYuYccg%ct7NlJsXS7|#}o4M%%>S4 z#ZykU2}h@)mfb@d2Llbz$vplRtr!*>-u*t}2U{N*D=a;xk|&E)vv1UwubzS&l4qUh zw${ecZY+QIS1fF(KU{29ZjSFH?pHKYG{UE-njf}T<_ z7cTDMAj#vdC3}kv(8I1872^mcw2kjHq-Cmz7}{OMFGD{#eTv#zC;vZq3bzd#gMSkk0s#Z)L9C)Mnxd_Jst29VBeiUKhA2uSq%RwNrB@8kAmjT7Zi&3C25>V+1_&SPibDmz=0GB?>fC21-;yNRQI zDVc%IVzsUg!gGt<+Ej-PZ16y@jDGhK6KpCmdwdyD91b3%NJFF%M@lQHAV5RHUqqItD%-|0!D@7pb?eylrNT zCH60kyj*94#eAObx8T{}`Tm!3`h#_FL0M#*O>Mi=l~qaJn-vVv?lj*v#UWE>A3sg!W- zub++%ZL~Wq*Q0}qJ$iz9yL1rS`-=>>=%rKI6qRFZc}#5H=JBy6lY?^%Zt3Qju&`AX zHDkd#c`RjXVlZo11I-Hj-W|1D4?TDHI9lZ}4e4v#{4{I22728-<=M)02FM^WqGP$N zG2-}r@Q}*VMIYtw&Cgld<oex0mg?p@F6P za`JPG6i}?bqDxYnEn&s}kzgMP- z42tc0o4-q<4f)}EnLl&zmXLhxQ0Ii{ocB9#rdZ((SNhpYU6pah9j^r)O_NZTR*p@6 zh!I-)@&oVqbuFY><5N`9Zh``=7tZed?tqqP>~MTnrjK0ue_wjUQwldOITw&9-&*Hr zVDzf2-WaC^MI7p#W{#)XXT;75vc|sswh=mpaDSdlIIrBIh8+AAatBYrb#E9L?G``GB8 DTT7WO literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_fillna_climato.nc b/tests/ref_data/lenapy_time/lntime_fillna_climato.nc new file mode 100644 index 0000000000000000000000000000000000000000..6d090ecab51a88d41d4f429b5b2b2cd79c7a3d2d GIT binary patch literal 10715 zcmeI0doieanLJC84A-89!saz^{wF$|krd-FhNTM6LRT5iv?WEX3 zwGkmyO6k6}T_$QLC0!^L<#s;L48MKOUi)|cIqRIY&RX-VHS_*np6C7fJg?7pW#Y?44t6iDH6)~ zohF9g@em8<`g-*UkBKQN1irzb5r1Dkem-FWo?1T^&0%bv@Tw+LcxpCwm6$Ys@Hg#e z1y2*CFL#edn~ZPLX*62%*sO77Fmc8cfQAr=1tBhvuQ0Un`B(x#AJdAFT%~vE7-%++mP+=&-3K^xd(d%2|^1wsRRN z118Bsa^O0ioE6uX>-k^Pf>n4hIZ(;J(g^Y61_udjb>JpW!=Nq53*!3wnHtRZ6Yw`R)Lo)$Fn_D3w~?v7uD+q}0(NMd9ZVDq&IRvAe^};N+EH>E zxSa4_8Lucw5Sd$-*7`~lM90+ZV{Nhou_r?M(h_-s&~6w!l?#R7MQje43Sk3xIi3%i zLJ;LT7115=IVjUBxNJs(_47#yg(?KWN!ht+I@HH8t>1FZOz>aks#H4*{5h*_RW!hV zpmb(}7Wg}>nssS|f4+jwdLYbm4yE1F1AmvTi`5OlU+w|(h#~kZ)Uw|%1pgY%sV+;v zKOpJdT@&yRmAyY|3jP|r)BYCVujSct2Z4X{odRP(x5q^PPTF$tKQyacd?oms#3zQ> zfWK+vjfX&^{QZk`i#6ci)A%6M0V=P4C{}hI#Iaay8L%C#w{Dn!2xiEk3#8XGNLv@z_;lhA&N?Bd> zcMZUNH06CAr%_xk5%V!_jZDUTekpu+81tE)G9wl9+2@&@hWUhLcBf-L zZT?P~n2%LLX%^%$d!pvgnJ^Uj0+>JsD3 zLhxT_pmP5L_)BE;n*Ij>&ATz5bd92Sm`}Wm419-oH23Q7{D}FixBH_Hl)wG0^;gh{=z}E#pcPe;69+LL zDb?s<%;&oUe-!*rxofSW(;$J+x+`L!HDb~qBxu0r{3RD@8u0n~O_?l>=qMArswEFP zU}?H{0%-cW);>iV@VSxYF@*+vN*k{#(}?nWDtWpjsGO5lyb5T6U){IqG=jr=dXPJl zMmR3~aodSm;Qy-HjHv;tF?7OWoonG(zk}^Nd^*$eZ}NP1%eFywA*avjA-N#qNdvgfO0Cb@_3+K4~(aUfF69=bTACx527k}faV@3n-_`i-&k}Y3iF=F?2o1q zdj=0{ImCiyo~^sK57eY$v%x{oh=D&7<1ue`|4;&rC@V73-H;6VZaP7)KMebxz-U^O z3Yv15+@6Mcze;FL2mku!>qeR2A8wwWlLbEfoMPH3%rQMX;56nv688KI)VHm-(BvHW zC$5jp&jbJD6;~wA1OIEIzM+K>=lP9!uP(qk*@iHk-)QiCl46uq0{lawb-rB&o>naJ ztyge-wc+cPn0M!u1=Tdd;_k2E*|jkL_P+R$>%jl@N{-)6nE!H))9rfjjm})Wqyg5k z=yG}Y@bk0#1OEZ!|Elxas>hg5)3>vYn2*_gr6$OK@Ju(a1@c&RyyZ_m@GYCb%&O0vyYdX8wDK^ z9!Kv3lM{BNpfke*ANNdV7~>rORUxP#9^(~a`oLc>f`}{}ajo?- z>$TQ)Y-=|`#D(xt!x1rsAg|!RLVH3}?S~spLJHp(!jm>SkAVGE*%E`@`fQe2F1TBc#Qx1N_a*P%?jg3A{7x35fBj&5fBj& z5fBj&5fBj&5fBj&5fBj&5%~W?V6;JEz~&i=wy)*h3iv>x5R@NsqK8EGhwLjCb(2U@ zRxTp7i$u<0-LImXNOa79ih<8P5)I{+#4Il*QP3}J)#|Gx(keJJYIYOmDY<3!*OREY zs6?gpF^R%fF^#UiAkhG~^%#0fBJXVVgs4suMY-&9;=dzNkz>Q0%nlMUSVj)vaNXkE zj#SsXBtl1(Z*8n2krMrVLwhxe9&`uqEvz8XvaFh9+uJ0P7talR-VFY6>6RNIzmjO* z#~N=)bX6w2lMCk!`~TR>0RLyp-}LLgCed7(i8~L${F_l{jc?u}QFr z^sONgQ_nigzKld=x}GcEzK2e(@PujYobe1mf-(Pt+yfy zIGM*=WgZ1?+h$eYeZnVEl8o79E#NcDyLC$$_~dLDQoRB3a?btfUjzG~FZ$N}3+(HH zAAg_u6A~F;S5nY@3HuLO`Ft~Q(nyZ)(}TPRln1Z5gYVY4n;DsCdEZ@KLf95ZrI2(;J?*neiR2(+$6cA9{lOqtyfc0C(F*Rj4sM?}1^mlhr)~Gfbt@?ldkA%OKG(NTuL|}k zBhjLl?eo7tJkHlvc@y9gBTlzJ0{i}@sG1i8zS%*acD)Baw)!#`SA+lUovY7$>Lroe z=JYxyMQcv(x&!;w3U#l9c$xd#OS^!(#HQ7D32opfO)q9a zelL7l?wtcJOQ<_iyMcSxfa|Q(Pb7L%*#Gef_}`Y#G5QJOezh4b?}F#_p;CRAE%@f} zhl*2yd+F(Cs*1oRqc|r~t%XE8E-ZGeX(Z89zRda{cs}lG9)8r;2hYd(h{VQ0;KNO+ zQyC@Eo$IMOz2N`$Bg5{`3w{0MA_fNT9p9V-=+cnhb^PQ-=cIOHk-h(y7@>k`($%lxCl$QApOjJca$4 zL}{uSx7NWrrpr%qLy+fzw)X@4N06slY(^ZMpMSA6qZICIKa^Bu!G4GIS3W3(=Y#gp zHRv@#Ayww=sWx&HQcz!Dmjs#-6GFc$MWF%qr{Zwnm9+OAe=mHl%e8g-RG}U+)gx^) z+DSy@nsmp(c}!N<-6-I3I&o2WC-_=SH8ptkokSa-xGK1bQ^*o|_Pmy-(Djac3EH5X zy4~6?(iDmvX_-_z47|i{wittdV-^3O=5d*Vp*Y|uS@Kdjvkx^j)5`$_g2t`NfbJ4G$QvB&VNTH*(FR0eG@;s;{()1O0qJa z@s&hCslA(D0Pio|V%n zR9GqC*w>cX77lXTQPdaw`o#nRomXL=^79$Gz2I_jG!@guXkGAcH zy1N=QR&jts``gZWmGHbV-kB=|%TlPJC2jI);L$EwW#9t-nT8)s8Cn!_Ult!(U_v3Y zi`p5k;5WlsF1u(Eg*49Ic_$0!5&2S^dNnAtCL!<3EOiRi_APmQ5$Z0P$kqJ}oJVZ; zoeqUM%9|!0_znEcXpLQJFyAztI=U3{c8UpIE4Bcx%NI>LZw>2WBVFY<6v{asdtwKh zLLNpZ#T1uNNb_pq%ZfR0eK^_t6x2mMrz+o8g+i}(wiNP#L)E1X?v=p#Th_GMe&G8b D(CcY| literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_filltime.nc b/tests/ref_data/lenapy_time/lntime_filltime.nc new file mode 100644 index 0000000000000000000000000000000000000000..e915990f6536017aba71c18a2a48fdcf5d254d60 GIT binary patch literal 10715 zcmeI1YgAKL7RS#`cmxO!@eQbmE%FcyPZbIULo_@LDi#%n#z=xjAb}7-MIBfUBccdc zMI59uKrIZ4kBTCQPjFBw+72x*u~dAGTBXZrMJZ+WzDerTHT}@lnGap-p0$$yz4z?% zKl}bpa_>&=c45#0Q)4S*7KcN0ZB*NO9W_UI+K#4eV;#eVK}%WOlPo*>7@MW-(hYf2 zjah`k5QB;MPU+!0Ha)dGQT9x;O~%_0>|j&m&EdLz3kwWw)y@{79j7@uldIYF*B&Kf zbsKN!3!Zv1oxbUHiW-NVEQ+GKv{5=`b1`EJprHX0K=jS<2-^wwwHah;rVcXI4BoBv z(4C0kFP;cD5JTBy9O1%?h($7WtTfJ(uT-j}a)m@KOQEOMaI&Qnr1`-houUEP8TZ-5 z0Fs1Qepp~c1byDf33ChzUL+7j1c!^n5&Xa~0pU)=<7}d@86XN=B%tH1sPn1i4o)(P4#udU!zD^@mAy=o+wl2_#X(Y;HRmv1utWqIOu}zUHVr91O zJf4>e&&|cn)7IU?$J5)#ZH}vlr^g&G9@mXPer#f-$uU-vAX7*sD%ud&6b+M9$^==G zS{^H2qmr#rs^k&{A$MaML&EvOP_6(X==^CaViA9_N|_{6spWtb9qizRE@?7Vid?Di zbDyQ4`TKdg&U1C2wN@JE<>%(==IQFePwNvwAl-z=;yRQtY}u)Sx^m!hATA`=(vXmn zweMU^G$LeRQpMgr6GE~wj84omBgCm~xU32mLY1*PbrMXQym{H-l<|a|acRsPfbT*5 z>?5cBt-!i}?9N&nLWBhyS51ZWSyuESaLIJ=U-15fi!;DqxOkC`J@^lun!eKk{G+G% zKXd~B8grNBKv)%>M*V#@_{XfBYv&IBrZ>2|J;C4nBL5q2@V_u~Qp`N?Pulh5Q(y2; zGie|71Alu}xiSF!9i-jY=7WFNwIe=&F3Z>LTG2xA-!bEiehB#c=H{h_fxq9T=9@s{ z%r|$61D1gQvyK}j5wP-hJGPoc!aMF?^3I z8?8npkjG$+C(m$|2ryOxXwVusRFBjA6raa)OR4-%mn5_M&zb z^2xLFPene)ddca?C%LPC1M-PAe`gc&xjIm@1^Ms@Cky%5Jxkk)e70Y{pN)JnUIpeL zpF8cxbCFMnzG)uv@#)!=k9_`G`=k*0Of8tU2l-@6^NWyAddZ_=&x69oYS8>2T%8Yt|Kd8Il3MVObhl|g2L1;7 z2mL+)f6k7X`|Cif4mNY@K_A}YOB;}5h+)TB@V7qR%RdkPQz|SEUIcAAeblTObmU*I z>#hKQ)``!$Tj4xx)ANJdU|i_t-h%6(j|!!5&84y9Dd2Oe*T8s(5{1A0W!@^UIgguGih^63;==Dl*=ff?X` z|GYof9@KuMX^jKul`+wsPB?FPkGl)#q1g2D+2B9i>1gQ=>N~zV(G#@SaY3Iq&by{% z?mUX<-RYWExn`>6WdH< zFwgVq&0^$pyrxS6TGb*HNCboutZ;V{t`NIr9E7y}uIHw{Ni4_hazSTfViX8vOHv8w?Hu z|4XBZX|*sOnPm#~#?DxJ!K1-uoo+F?7wCUd?pBh=g z5b_!0LxzzLJ2`p;`K%MPjUt~vY_ezJeU53rg@C43B)_><DVq9XjE4% z>ixf~MNP3P)7HsfX=W!xn~rYx7j?*R~{cDrpXqKh-(&q~(+L9K}O?60g9xlqnvg=5{qC5Ht^EF+U4 zT?=^OZxs%_@aKWZ1D7cT4Xle_0uAA6X3@WJtGfiTq;-~SSk?l z1!8(eZ}^ttj0iAArhYxO6zXvW)~JMo{ZMs6v;D6b=|IyV@V2qFj{d;u_8DaeFa#I^ z41r%sU?D#os&r_01%{@(1>mg#o9^!`%^o3L=DICL83GIeh5$o=A;1t|2rvW~0t^9$ j07HNwz!3Po5n!JGGtd8-=l{&}f9Cl=^Zft!^!)$djXwS~ literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_filter.nc b/tests/ref_data/lenapy_time/lntime_filter.nc new file mode 100644 index 0000000000000000000000000000000000000000..5da043ee0f0a41c0b675a0c0f31eeb98a6adc535 GIT binary patch literal 10715 zcmeI0c~Dcyx5sY?JCRLrxfeBVh-|W}ASfMB6bvee4vH}*0fHfc5Eca&MpVQNH$-t^ z6ct2p8AvBF zO&)I32WXO-O6uxFU+d{@4dWG8ta@);**I{#w};z2CC1N6qvY4H)by%DTcEM23mn7p&s zqc0J)e@%qpiigq(1A+lBg2NWbc>F*+mP8`u3&mWSAVR*hf)i67pqw8}>QijMFvER1 zp$b95SeBQokB>ZW%n8TnHgmQ++h?XXo8!ZB^>QZ|Bk*-Pp`w_;cAf1mAFt9o9&d-- zl@5cnAvkdD3(id#D&+syuwWK$3=i1JKf{O=3uO^=~$Pa@_=Fe8Lw zo`7j%Wo2(+Wo=Bozcnq(ZKkAWC)9W!@|gPlh{;kjF2l!eO)KNF`wcsZ0o1vBM~MVV5X@ zG(sp5JKLCx<@}xPEGJvqmB^MH`8wYO5H6jR)c557e&!-O#uIZ;7Oxwz<`7I zam7_YBmdpY)M<0U|9#E9G#}XcQJdFk`N2BV=D5Z#gn7&Twifvlgz+ZI($zBq59+ua~}SIqc4iM*(!$PIb4lk|kl7 zk1@Maiur6EicpWod`7*GT8H^;y7^{3 z<`etXH4*c9S$Q@I^Qlo8uod%htdHA{`TUgIx&!kWo;+eV=Chu^Jq7cLPHRcUe4a}D z(=Z>mEf)`BJ`S;C(=nfe-g}Ntge@4I))hD1{`xh;H2K>i$XID1@|1ot}%$vaX`s@P-USmE#hcTK# z+tJTcTQHwg7t2@1U`36EAdv7G6=)>%x50 zhpp|#e7^cL^nial*Thqa1_4Bs6expUSJr4#r2(H)=K?fnz~|7fd0I50DNp&Ti8g4b zt8;=bXsTcRM|~RbDL%+Eqye9cHCG4Ii2MqpEK3q}fWJwS5onIMKRLKb2^ zn>N<_V?Kk+2L#|augO+%FrTy8bzIQQ5)ThPXtPq;(Lm6|!GeK8P!n^db<076h4Ifq zLDg3eXNQ4$6dufyf;QiC92yCl_^LKB8sCqgF0TO1+?Zz;hwm3p+_)O^He+2=lPA9;B z>wV5YW`XJ{;9t}e8kGy{G!~n^IRo>w%A+mL)8P9g+5X@K;2*ix;>#uA>1L%8 zT!7bScHg{=dA}~Oy+$LZ-8~s|^ahN-y*}ytP2m5_EDv!hjDI!O|8^Ppu1%XXxg6$M zDGkV~z~^U8Tf;qw|IO-!Y$TL2@VNqvuF;VLtTmMctTBhu>)P0*YFZ`0r{( z0|K^Dk2&>^TG396ujU(nlg$&gkF|>DXkVvwOD`HA`0IMRG+P zDOVgMAcjI#x?q4`ioDe2MSkC2^r<@Br|@df@U_48@jS*2_)P`bsVlPMNkT(mWqEv1 ziO8q?YkbT=sU(ys3l=a(aYeZBmq}MJEto-4Zj_=k3R4J{@FgNi&|NE{gT;*IMlksTsW3{wS1bt?J4^;<_->F? z$d6z^d8r0z=l~En6o39|@tW!5D<_RX;oZUj{^?L)7=57Nxg)sN1{3jd`{QB57oqh% zYz&bCoDN}ySDfcQ-F==ro8``tujl}*@rw9BM+jtpF3krr^3(}+d|w$`63l;$sPEv* zhrrv)vJ3JDzpvk~{RH|6{68QtgXIlXIyC&mLz907#a~6Z*;r1t6_{CD{q;LraedN6 ze7*OZ=a2Dy|L&4chPOgPm z(X<;nhthA5=w!!+&z=Qveb7~&XAy})p4*iL-6GMCYs#MIRgg$iDMxsqos6F_g+$`phKrX%zjW8=?yf2lZLr%iCZUl;_FtY1%mSZT0&eMf(B0-QHjZo|Q4p`2 zw*l74%$~1%_>^%p0ps<F z#wH9nHN?-+l-wmz@Z|PYm5@(Ha?^QL=w}|&Zwm$A)#(;#yCGilyoK{e1Mk-GcXwuh z-?_tIR-q4Y-gYkRX$8&s`uXl}a9%HaicMnSJT!H;r7r+ZcV54bwuF7qZhU%J2l5#H zL)GFs*w30tj*~2FVgL9E+x#IO!6}(h3-GRG>uVWylIX(mktYkgNwoNZr=|z=Gq#R! zn+X2uPn{0@2zjUXtwf=jY_A9v4GQfJJ5SA4qmc5hkOwD}DWsG6FvGQrMBi?=l?{gTRMpNK)B)?r z^4;AXfy29+kni6glBn!jbNG9>?(4Jb&@|v_Syozk6S$a|<@AhzI3sIp&3NFe?Gn>- zbpVANszVFov?#QHcDmYU$cHsM-R>Un3%Tk3ZVa5`OYGosu4c2=M z=giqZCprOqr>7iqboxx9fbor@7y^9XH>%4tDU@KkJoC9Wh5T4UpAKeF=-HZ8s&D8N za-6CcKkpNXyj0K3{RTc>N=vqdgFkYl-#rQXVp~#yEu0V6A;vYRokSj|3tR1hi+ROR z{?>sMy8k<`#l(O@OwSi9qd`9|pW-=Mk3v^@XmLvg4kzb~?#j}oP}rUN2NfiRhWVRZGhtHbO4ZQYv12L3 z)wv~n2>KxBkrS;8*=IvjupP37cDX z=~KvH#6v%;!O)K#=5%&Ag$!x-tkuRajX7i@Ew$~bN2Udz`1VahX*|*VqWiY4u?Fm-ktqmrUUCr>(>t)LZJ-CPVqj7^OfIe z_GW7eWq;k1%yOX6kr;7>#Uu*-xTU^mz8Qtu*BcyJ2Jv*N7FasNIWvD(5>pFt8+~2% zNeF%Qgj!z?@cgcvn?Gj|oWIUpXXzs#-)HlK%xowWC+te80>1)ZHTGlhkGcM&@)YR% z?4}@ZOA7fGZCqA2hC<&gy%qwq4=z~K;Oa5Jz=>!c=Q5b`N z)8z1P+~mZ9Kz^t6H8EO?zyk~#@$bur`oo9gsnvtKxecxxGL`HA&*c1s{yvn-;3#uY zzsnIKeU>DA)!Q`MDEydCqtWUI$A^@`#1Rh%8d4y3guEJl!qCV4!3bic0j*GzF5Wlj zF_ehne@ujFkEb$-Q3Mly2yYj@*oWt9&K3$qJV6jw%ny}pE#<_L1UQu4kYWR-0l)+s z1qc%6vYqVR+=!7dfH~n99Tqq{y0|THb@6s%+dDZD%nA58gOHalaItrGl+2eOoR5z~ z;>v(YY7iW_4h82R2o&)CYgn)fHzo(5{}o19kU$(Nu{DH297dqPMHP|{1PhOF6_l3VK84L764Z4paVbH zC7dq`6$pcD%%%rP_}iEp%{DTd?$7hJurW0$?hSlTYe3l*hY`^C#P|I*a4p0mL} zc=zjD*5Dtma%aE>{B=dggm&Ps$7{HWz`y=xo)w_mVr_c!(0uUUHK|m7A^2M-B!xMF zzs<(0_kc#}o2MyuOTfRg_HLRRoV?DiIF;qFkKJPXsFkp8-SVW%?gXJ5Pc1U@BnaP! zD(v0f@IE?TM)q+bj;>sdA9-*$)k5x7`@*v6Gk4Dt!2D?=j_zLvr!)T#PX-*PlEWFH zS1{(I>vBhg`6TJshG9O+av>3zPe}cf^_Y*3`kalJ&yCjHXw1iiP}+j|=yZn1VLtI! zo^Qi^qQ2Vi#C)FKIg^0-)XJ+SVLn!k8fOrCn1~i$JrFTvaLoZGXh(oyQy(D%O^RKXs;weG&Y%Gc}G> zf>xX>P`e7+_rYlGHQ-M_d%vL?@?b?IFQ|cai#9dwxefYiZzORK)Zp%Cj|ZSNtp{pq zK~*M>npy|^-yR-+xB>VxJs&AN0(JVyV@(V2pW2su{|WG)TwgK06?`u_r>D1JK83-| zcF-jSd=8tRBCxQR-i?&Q%P~E-?KRwWEBRuN#@xHE&W`>|Ad?Jn+gMV+`Gz~LQ>(M!Z z=Acc}<~7g6`}$SQnoT3*p4LyuwuZQgpPR?n(t!8zY2J3AH6_>XAR6I&@W;pcjx<7v zH|$*Me2C-pm;8?lXoSO^3jus5(4gOkJ#+!hA0BVAghuEnPX2nt4d%-YsPz5-zDLC! zYgb}E@jDvbF`qFts-8H`i{ee*n9rHqdM;>o6^FwEZKqdf`hxBp!yhRC)tgR_TLbb>%rk$v|ybaX4Y>nAY(5Rk2lM*m*_UCVjG@_)y!f0hO#Jf73UcDFc9?qz< zJOH|9FS+gz=KVaeF$Mgq>#ta(fq&%Ol&lQ!Y04_39mO0|GJ}s{-u)3zj>Gvjcja53 z1plNJak)9*pS<9_!YSZ?c_1)6ANF~2)!_MQSf^4GVfY&jK2P>oWE27auo%NH=YXe! ziM;=Lyg#e&N;&4;c7Dc18ewrCjXIk)ls+5EQYF2w)5?ed}rm`~l86SbI+?H$cJh`;xEho}MKSai7I&nAe!w=Zu= z3&h{o`Rvpa%x8J2Rx9Si>56E>ds0q!F)zo5xtlXBgCT*^I7XyGl2Q5+Nev%f9GWFe?vf8E1EF= zn_6)c0mnFkHTQe1Xs$w-4=|vP`CH8>jiG0=k_LXopi%I*9k)vgQXQ%qmHyAGMh9ut zr~;)YEm*vHba5F$*e9F+WJm^pcj6s?tokKH@NLfVYSn82C~Hde3lM30N37P(R!94%TL4&mv(e81%Dw=7$Edp&kBRm*-tW^9~sOI!nG@l z@9Qh@5%7b2*0Y4Z(&Pfg3~)LA{l4Re(1z|iGe8PX zoiM>WE_IyexYW^w?dUDpaVD_FJMy?;*Va5BBT1c5!sBw-l3@K~MBl#yO6Cy6 zhUy~8dvCBS6Bz*+0U3e+fxvvWD^%&w@W%}_$!k#jIf$E?(d-#~15=Z~|G|(xpJj=k z4}R=@pFi~PF3Do}m90MXN~SUbG6FIJG6FIJG6FIJG6FIJG6FIJG6FIJG6Mf!1O{pp zdYm4UXx&o5_29Q83PZVJ>768U-Q`+t*+C)=71gK%?IiMu=y)DeN1}tm(Pja+N%Sqd zD0Y4^i9&y2YhS!TBE7uh1Gd*-o~C!k=V}ra78GeUJ|I!VBBsTKrzGkTG#*5+NaUNT zlNjAbqG-=e?oF>rRIsdON?I$47$z2Ok?`E^3^5;2V(BV0>JRAR(i@DlP7ukdl$ zc!xwT30*M{?vd!-%&B~Rh_8;WNZEt`V^&vLG;o@m;E=W-xUHRZ@z%p8675#DJ*NkJ zCiyn{m4Hvy%5U0NVZW@Ce+n-_9(2nu^}j$~r-Pcd&3#BBt1Fu7M$aJsu!T?704Lq# zgl=PqyJt-AWiI&oPg^}Q26U3b{6j{KBuc-`GGjpgEr{An2i+YXE%*SuVgwQWkAc6x z=k#a}sJwM@Q8oC}GaEhZfy-#aM{^ARB+=O=2TzW8PNJW@=H59E=keO+7JIHUq$+%$2 zkxe%tU%hZ{Iqa9Vy`{JvxGSt)?2_0Fe#7X6CJ^7#fQH*Afy->_rqX8M-rnOi>A-su zz0Cjo?jiW!P|LFT3HJTuG*H?O_w=4-b%ZncW;J~)JOJE_k3H7b04}M8SxKx060JWy zYuTk*5{+$AUJ(lSO*s_g|nf<0AQ10=e6<$z%q_`iC`u>A=69dC-Q ziidnR**0I#0S?8TiR%+!pT+6wRMQhmd2Z8#6*i~Y?LT1Z4>TX)1mKQ^QNRy6Q9mSh>( z2EKM4fN^NvK3+v~Rs*Pu{=?&;{2qbRgI z@OtRVkrdi%(XaXp`oAOV%pxX*zQ~_g{}#?gNwGYa@rgv;=i)BM0@q;sy6x|QTa$(Q zo>1s_s6+;+%26m}L3@=LczaEK*{QEdp}x_JdFA6NR9bCr{GLT2<4;W4sBRNBNGOpP?@-+gwh zeF!;`2V8Rx#`b6QlSsW^VTL!H-@Ia-S-->n(;v=x)(G>*tahA`F^)pDQH8cIz%QQK zSD0u@p)I5A)t#*Kh6BD4MUGY+<6Hb^Q zkIGeA-K9&RC5bs7C+SeAvU~P}GjQ&TNdlt}z`5Uf+p%ysM>U(I9lwFUEv>el1@moE zsQq&wZui*mrE)Xixmv-l&Ddb~uL{4Kig{EFedR8_Cp7$ls kJqqWdlU0%HtVN;c8yfPPfJ4REmE3aR{3T=Dus661*!;2#uTID3LsWzb78rlV)By0W4YH?yVOzo+NbqbAac8%fz( zh>qpY&d2wU@XQH~t$4f^ZY`t&M1e0Vy}=dAqnBj5JXq3!$;j@0JPilbfv-zlG=L$b zFJ@aR*wHH*NebbkS5zG2XOCV{gptu7y$VtaJaPCc@a~oWyW9~^{x9$T|1Bv0r7gGmUz>#=XVn~8YZ0i zl1Uy`I^t>EXhVG{2z7S@PZ%`*e3oZisyX)On{4uGDZ(1ySd&jRH8qr(W&6u3`)yqPJ8R#`dkt-pUu2RV%ZfNM0lwgrV^7CwOu>1)HpUM2#$>jCMV45%bL=gR z?dOf|Z85PW>zpLw=nIA!aXUDkIsXs=H+!BcS}}WhcWt&7Ve<1bI&^K$wu79i6j0(O5Ai37Fy z4(Mtq_ui~BVR&pGszB_H*mz^UTfY!{#84CFLgCi69p<>|n~p>2y;=%;f!wu!Cf|4r zJC2S| zz4`b$>*1qh|D&tv4mvURsvSUQR2D6p}U=?pb*Ah0d^wM$jAtA=I|j2#{b#1vf2R=B8lAm!a~XO z-;ezWx#s=o%wr-|%qm8_^1tyu7@e+}vKDu^qGOwH6`jJDq!5W9SAZ1rr7a z2JcRv(X^3DuZW%PgWb-9zW2&p*}zyezF}Vgdc83@b;vAc7!~a9`~320j=lY@+5x#O ze46CpZrxYr^oXii zPg=Pe*{p&zdojf}0`?+qme%G)YRMZe;PQI6Y7hK8+}&sME0+sX1c0`U?JteF*V78j z{`na(5N%+V9d%)bxN;hKyFMp^Z(v4GkR z*_Atc6HEbJ&zd*|AVy!F#@Fmli8(9{l@toAf%6<>05bQ6s$LX@-&s>>GH+55OuHf< zQ2Vn}Hfg5TJ##+i&5p<_aRDs^4gf4=aR92k-0(G*_h;TY1iRTIef{XswV2XD1qC3_ zoZybVClKt5+_^x85~Lg!SH#S!V8Bu$(>ppe!KP|9AD$^aL?2qGz#p&398L}gxXynW zcGC6nsZ4%8Nt@)_at)kisdOxVA-_`7Cdng)cW$j!Y{1!n{Q}8Q5`kqDfXK{zaQjx> zuCV`8VIF7f+@BU9Kd%}n75gBq``H*1LUEH9=IEHmt$e5^msWvfyx-sVhv*m^52r^! zc+ccyXP@7)EGa4R{xk7fz}J^QvOC~lD?o@V!eNg{=-~8RM01DDZi^+&wYX_*Eu3{A z%=d>Xr4f5m_S4yfpeilZwdVfYRwQa=c2^ssHM0nVmJxG~&OV8}*_D;XK<1F)w_n#u zNY)3}P#nrI4T#9RfWmgj$kdZN>unN7wf@yg%F4i{d`#Kj$cj99J>-F6$bW-Q2fezw=;Q!QR1v#9XJciIa#13xpz1o@pg?CE#F(U=TnsAWloy zW&;xaz|n9$8EOQevbD43GxX+v{*mAR9g$mIZAuaF~-H7OGccYgBCgY`8bl8tBF+RADBwh9R^=_jj!%j0PE(lHR81ZOh{jjer~9DVt2Q;hnJT_Gm?+Ek)@EAa~EoskHH_lBtL$VzMA>|ewg%pGGu;bWgxa@ zgAXET_wdjckwt|Ay{eoH6>@Ll^qO6+T!C6zrfn|%xB?-u*txiJ_S2hU_c5K6!gpDcfx}8$jU?f`G zDw85#Ub~&mrJuw+Aj}?ngngHAy zetY`dNWj6K_dw<7)TSC;F)0w!y7N2uI7WbX@L&__LbJt&i|u;LR#Lp@vm;{)E*$*k zKG1G1IFwk%?Tv^O+lv9jaO>kw<|b$`hf z1JX`K_nq%#r`##;-QS;Hs+LbaxysE6Th-$|qpha)Mn=}{CmJ|+I)tKpiv4tfuv$Yy z!~Ei+9{Anm_y3L^TCMSqvioJGA?{G2q50x!8<^M%XWygCd9Tiyf3tL&l;BP_F1CHo z`-A6f%Ro=h<5~sM5!x8D)uCg4zZf7r{VOK97Xk={GDM|~jd1zurSa{3F2+?_^0Rl? z=@7-h|Cf}O0-L_=_u;${N7#)Qq}01jvDVkRbd!;{_~Z4=EzTlXtzUsIr{5KCS06F* zv(v&9!hiVBgfL^lqh#1~K><(>K zha&qPRR;t{Ct|%VwmyZ0B*S>%g#*o_x#u{UTJ0yWidx6@5P>)x?pfuRd+bXWsh+c z3ivGxD9sg?eP0d9Pl&MVke=oJ)14hBsL1~#O|qRXl~=?z=RL0nX}B^Gu)n`|PFU z@6lz_Uo!=tb!xypnj%#*i;_Rk(|}NybbDkJSTi0}vM)t$Nxo6HiVCvW`QK~8ZJd7@ zboV;n@`Q^DJ;$2#>7JK}+rfX2cTRH}N|QB@MW%Z?UH*FU!LcxqvAWTx>dn^8UwlGA z??!#hCix=a+|O)^*)A*=0xYn&`^Q(aYIr$GU&aA~oX;vlJQ7rgFJ(~DyV3l8lSHop zQct>3B)BJz5p@p;me=u7$BUj{HW)X%5O(zpqsI2&rjirSSN#1W3IaPrMO>+a!;NadsHjEkmv3v6D6|`C;XKLI@q- z^23v`uyR_`$wS<~mHh9M$930i4jT~4E0g<^0`L=C+AY>za5lrqQ5|-D58f@lJ^4(G zIQ20Tt&6L-xjx5ko+A1p*P<&F&(R?kFMHu=uCxF5z;k~O7Y76UOk`ANR2h4v;?=OZ zx=-IZ-N=sE30Jzn(S8Dk_F~uuOT;th4;s_(Wy_7dEb$7Y6>jrCI%S~U(gk&@FT5kD zF%Jg5eg)*(wqynnp=reG)!`PK$B3qSw$Ihn$b;=t;&`pX{FXNV6AEF7x8=$F z)8UzgEk@-B=1-|(cuSJSbQR(m-~jfL(fz%$JN+zLM86M|ar;;8tT*BDWTLFd z`5ZMvo;HmmQT$7_s_c%^;=#d2hx`Fh@~1cs=^z5})G16G5$@*^t(f|#+qo1db4i3T z&Go;`$}Dy;3G83_31MU%L&rMsYr&&+#zomENEY%hzcTx}FW_lW1;7Sw5NqPSSSAK( zQ98g1j7~(InQN1bIB9+JNKdg*o&yvYoRc=mc;0z$GdqijVmXEWX!L(u^L`G zv5f3Hx-%=kfk&$q&13?{W;j#Qlfq#Pe)&=9D8rNhX6S+?-Rty;CrU{YD3+G0S2_kX z_fy|-IJl+`blG|*C{s#YIKC^LAE*q|z4GvkmQ`FfZ1Iwk16~gC;bS@A?`PAx8s8y!5jpzIwlW<~fHQ>A20%N}v6Abd_$5Zv z4GPprS?niD`lA0ft0cPi8qg=&yYJr1L;mBzGSL;cYSX`a64Haq|NU_JO7q)Sk#(j8 zZ-#|}*{EPZiDLfBK+A@?h+TGng_Q`>l^psgwCA;wTdo^}l)h2PCFvk3PlStPbhqKb z+Pl%;(bST+INGFSbtlb6=`8Z4Th*VD7qR_4FCc*&*ArvJS@BsLxJ#n4&d{jD;(D{| zWHWw4=RV13dpRz5;quEiPraRI*IL<}dfQu&^*yIG4x1Aa?!yTGa{0*2tLLPl#e?)s z*>DqYF7QFLPCN;75wDdQc%+-r4=mG?T!X4rVT-kh-$LrZQq%tIZ_b(z&twpcs2(St zsPtF6fRPqo{yQHPOwHJV57HDTRnO@spJZEAaAKDJf`c9~fJr6AMP3gQ&6fKdb|!Ps z;lLu!H81&jm$-G!uyB9=WK6TJYYdq6zZY|di#TQj+^Yy>sN)ifZ~vujiBbh7UT8_G zp2u&YE)SW`RBMIMRB#XCovY;@o9n!nC9c;j5-c@+R*^!u&FNT2Axrbpg~cvN19RYgF{{o=5*_1_23g$FX-QO_7q;d!h;<#e&@MJ$JX) zymNj{!Z>7%QT0!ZXL~LhI`Bx5sj9d$r9tzu86?E#Eijn>ts8%VCec2pFRpe;6!7LV zU%6C$7Dd-fAQq31roWta`2&F$ zkcu4a_g+1>L=Ydu*>of`E#~I%n6yJMDW)^MPs^lryF^tLzeJ1TB|mE|eXO;?ZB)2I z+;4JR_cqzW_6TKiie13V9fU&ejP#(w)<71DYisa6yOcfPVMbBRatrz#Q6#a1RV#rJ zwWfyGh&U^5e5}R%Pn<5{11KEsS*j!Zq(5xzs_zU3cxRW3=4gE=fW}riW@yT$?*%rc z1k~Sv^c>td{dSl}SqCwm{ef1vH?fh9$GWm7!0XWEPg6+*mAKcEwNi;RKmxM-Zy2`9 zzl?u?Om`Ud_@3^(9^T-Zifi?uj&3)idwqYI%awyakp6Xgg6*6He^i-eKAhqZZxBxn zhsa>sa)#e^rZx|n*UF#0Ht#qz54dS4bWT^zk{*9QwWmRn1s|4vqveT+a_31Z5H6D_ zfGbuKmG~fP#sbOMP=TI8;R8h$2@gF^S|O;uNg!Kp=;wTyt-;Z|sJqhw-&u}Ic!fvA_TR9b@(Nq=On%`+LV1zqeGQpep-0gmG>tf-+>Z?fkld!bull8U`XB&PD#j`h$d#Yab zD3%rc(*rqK7IGv$E`iNXmn8pTP8bvl=6j{k4%C0N?0^L}E!C%QARk1!8Hrbe@tf4;M$xK=Sx-<}%kj}Qk@LG^F^`4*99+&f?Hlb7kAcA*Dp;1`RAlhxbp&ZJ~? zXn5EIWY+T_bxc@u)X9#j0oa^fdx8|eWx6Xo7Tm}Dw)A(aNawd^XMryTP^MaVXYGC< zUJug9-qS{$@j4K|EC)EDdFSG++N~6nnKLKIN>9Vv;Y@c{1M|x!>EwvBX+#nluP2z{ zRl741+VnH>2qFVOQX+9^peB=qoN*ugY4QNTh28peJDZ#s*e~!$F ze~yDqiUf<0mm^jiIruxyW!^B6M|RKT?;3#Db#{08Ta= zrK=gg>gZIv=Sixq$Sk0WcpwiC>uohDd4FJ+!3r2h$tvBydnz@2^{_(fUNTeVporWtXBWg2bWVHT($@ZfWtq| zN{~uEG+eEP-`wFEH-fCtdD~+_`ulXL0W2_(C@PFpsUbIFosG=8-A+tcl9z?C)f-+; zY@a99jUWO^>1p9I_B~BWFQ(%w<}wpWrJJkZw*$5NCH`xXDYje7BUTD4uNW@$;qgxc zjBBb25B`uamQ{m+M>-A7Cg*Ov2=O74!L)q9+S6jGa4*GHbb;YppU?FeN~IU{7KI)L zV(n)POr9Z<{Wc9r)goQ_tsVoKy%a1lWtTW!-Xx+g zsq-UtnqQrCYv+Z6i?Aek>JaByt)nh^`lIj~cO|@zV#H&>l!KE~-^;5sM%eI^RsgZr zsM_1(N9Tn%jjV4P1^qd}rewP;TImF>t?JJ!@`W16;`DMQ>7;v7ILM}Ra`St@Ub-ZN z1;9yyL`MgEdlFCsN)mg2niO!`GbtuCdZ1-V?vQSGwP1`S~WzVO5C+7oF;hzMY{&x!g*R zsjw$}jhyGyw72N}`jFssec`31x;ezM{=sYK;Khp<`&pbf>>+A-I1%S(8|6Vd-9b_> zN4yvENKhB4VgU*c!(;w`8n}lde$@Ewl>M^_pgYrmJ%Y^SzgOHz>O9wzK|*%>dwO(w z4jFdU^fG6g@noT)+Ldhl4^7zZ?YwEr_Fo_reDrJd!q%7Xd;bsR&c4$5W4uRZrdO8e zvAvbjH?!=I>z+B$Qb&b5Wo?Knj`;B(#^k-fJtO3AMv{n(7pqf##97CHo|z7LMfO_9 zjIpNkHj+v2w{LvRuPF1VxD-{!6k|9k8qb9)Bi<2pJy?1JpmAL$I|F0Ck}I8dTkmgI zDGqXKsUW9syK8l|gp^!vvl8k74*mm#A=~K_*v=KmP!UB1|8qzukOWKwvTstN89HtPgBG zGxt`8nq_m#YlCs;c>-nFFImj|r^eU!_>bLiOL^vFD9weI*;?c`yyENx6_nq>ZtT(W zIz08IP;lxaTXlhWH*}Uz08|F^7lauvl-o=DS;Jk-C0yhQHK?bv7>O(NQUH-DL-6#? zuR0~uvY4tW1O_B}>NuTSyzO4MSnV;C!qftowO+gRc&sAXU-D!&=~3$3&_{zTFg_IX zs|KF_8Sa&hC9lSFu1_giE6G|}%fxKoUekGE=wI-mCPX~3q|cHX_J6ReaE~%KiQJgy z;ulI(PyMAz>eknny;%ArV}^sQwBRpF6>Yc7ZQ7p! zwa*XBsR*4V+y7Z~2sfKpLun!mad(z??rHB+#RLci^GoKsBg7+1B*(k@dfe3mOEAsb z(N*6#Y_cXQ%7U25kC6}2;r5}>5 zz$y1<&#$#P`b?dKA^Ysv%YD`h1|wInu9k={^-s4;Nf6aP$MBa)RJ+koe{5pa?Xv27 zj)d~NmsA{rtvS(O+Rk_d@M8oQ0B#iH%M@cEecH3)R?w7toUIIo2E)vHEVrNXpDP07 zaN=F@=W?Z1BL_at=Mt$YN;>?f1kqnd+-+aj*-A=F=`V`}Bm0a}60vLc2$zVFpeeJE zosaj)p$2ypNP!i_G5TWigg@`>&Hk$#w8P}kcixyqT9j=zCrqOBt0{*>5Sv#3DMQpY z_t$^MuK{njp`a%}26;qpL_*b!?VI*iI>_>vhd5z;niAXPinnI5bg6ULwa28qT9i3d zAJMO8ydN*nJHFcVsVk@v@FD0Z_%kVPrGjlY=UU}?ASrM`(X|MS=gH`@MDrr#nXQ;1 zyt{S^HG*h4Kn+sxpPlA3EJ=nli(d?AfK>mzjyLL$O41v_DzvDYaTN1eCmvxhiq_YR z!U7b+OwK&`g~vgazkK5ct$^bFpKoJ?@jPW1rAv*+<_JBbXpO3267VYn2jzzAcLnt) ztN`*6E?NPiSbJwz0cIed%0dS)-k$Re(8~DRfn}es1Pp(q%?I9fbKZ#A8zbE63P*GelL^UNTXm}kMK`n>(`<#$VO?LoP&mcc zTPU3SX-1H>%%HMo;6&6hhGTN$RzlBRe>T8e%Y%asvjZOtG9K0Q!(?3BKcuph6K37= z`6h?9e)_JMgUwI6R4X?A`4%f8db&XVU$SGQE_Sg6&Ge=3;gTI6@L5j8f?dfQ{EJsh zDO(rV6ni`M%S}7g27u^ATH#VC347t3 zWq_W8dn8_uQ&Q>qCx4oZhy_Jbhzh0^s4y{mBp+5T$XypJtAN$sVB88Kj#y_ux^ygEw`7B+M(HL-$-Q>aZwr#1M9+pN zGJ>iK)sd_Po^Nnha$NacE1Pq!lHZW$X@1zyiC>kzH6dNeSV0NwjnwAVxZzVH*7b#| z&H#2f%LJv_`bCM_RC1<3r9QCYruU)9O=eU4Z@JU}-i*54U+v-Nnc;lBhD)4n)UcgA zW>tigVr^D49SdvG!v_SHPyH(yrA8I8lLs0j*GvVljNTk_g#0UaZSel$zpg1@Sr-nM?t7%cy zl;zQPN)2e*_00J!CgGR!p7496{qj}CpT2ZtIjw{DUM7FkvWQ<7bT4F35<<@r%Q%Rum}Cj#A;cB4jWhXjs}e^zWlorL6Gkv}H%e8~YX$5XiQ{CG18y z@cOi+uIL581ZbZdBo}Wd`qxx?6gwF?z$vzC6$_l|rK zTM^1~AjNQ|p}oMoIVl$a|}M}DV+fG_o(qS3S)`aQ-cNZy zpBc&p7isZ&PZG+D9{zL=&i;Nb{`b}OPkYr;d08XG*?*ODej(5Jd&M9mE6r;@p?J@X zXLqH^OBK1lrqRmE$PEKvFmCK5xaTuKJb+V}p%fN?(hSe%mK0||WBBBHyUl;EFLhGE zoX||F9Vn9f0ioSrhESOusHjqIcRk)q*hZ#vR$l?^Q;3jC4X-)9w_hR(DJOHdfnZbI za;g=2H4>z6eNHcq_&bwQD6wSGnC8O8IN*RiS`z^@x#V&M+j2sYJ`v9pycqHDghRIJ zZ{I`xJ}w~z*#N`YZ{X1WkN3lR9w7IX7iCracfV>H#uWP#?uewMV@(B7wc9m{w!k;} zAjG#k%{1VRk#>gL_`>EO0Px$56at7)SC)A3MNPrxl!7w5WCb@|>elLQ{W8QmTH(Lf zfR$Ky37ow?8?6IG&52XURt^Rr=mY=90P)+E){^(*gM{6yM2JJp06C^Zs5sTEY=Sf)T%5B%lVQK~m5ebufgX2`P*qnTKL{}P_Lor7F9GwPU z44RV`dsFBl(sL^!M`FxyDoQbMs;ziXZ(90mA51qx9oOSl*<$<}6u|C1JghHWS_MH{ zaS2q12TM0Z6%$`0<1_NOUsE^KOu>4xxl>9};k_dX8dmNr z5FL+-i znHqAmLdHvN<_bEN3r;vSgQITX$u0>eqpv%vD_vTZA-2(3xCmf2HzMqLqqRYn^K&gp zwb#yl99O3Lq%a0KhvLnyX=AHbT+uO#nc5dje_<{a^TJ{B34Xqg9a{ zNsrktE>X@_|B_z1)Ujn=g3}i|<7q9&;zD<%lGwyz%3SGNzPHbsbxuXd!-{HIWWAZMl( zd#H#xt5c~S-$vI-C0$P%OtBTnp+{lj$+4bBs55-kM9FPN3LQIU!B# z*H?bBCL;#rSz=RsO^E_XEkG1;SX(1!&9}M^~SqxxKqzT8$boFrt~2u2_(81f-io zaJD+mpWBBG4(TEKGU3wrHsPRjb?GS0WVS^R>Wp@pK-+T+HHsPpKaPY9Dp>iW2J{&( zmRtReEymoEZDFBiRpIw`&MMAO@>Ehgyp{l`*%xX~TGzBbG!;!_vn8?}q20G{2}10h zQO~AK?(!YkSgN6YAbCPVu47}PobSjS$~I_)ixg)KLUvUA_X_jdD7+e40hr7_?G9>c zoC_}RD-F4yzSVzW6k79z6y^7GK&(`~MNrI_zyG)3iDjkK?|xs`B{b4MFaqPywL*)! zL62uB8nVMp;h%WHL4tmjEfk+JEcK}8SI?7^YjsZ|UoX7W$){e(%T-&cyCD?31o(UD zn7=oFP(fFrG;X~&`8?p;azR!y7~t1-VLa~gSQ%Thqy&dFP~i5q>x4IU&UggvfCLwQ z8qV_{K@T`#KnsUX$B_wbH3k^_{kA|T{~eQq&8g!Uhg9h>kIUf=Xj)<23N!QHbQYqk{|d;(VO^hrT0N>Wel`1y z|4EomD)qwq%ifqahTtWQ>j=fskvJOGH;19zUHH;s{GXGG4I7V_Hn#ceYkVJ_ri(rc zm3&_2E&bl&wKI=2PBgBV4Sb$|4wuc+gMKlGg3%2JkEiEj#o@0X68G&3x6I>G2QLa1Ei0!n?e|{ACb}8wc^ixUTuZ_w7Yrv-X0CaOVQy}!}=8(r#1z*Nsh zw4^_Wqols!B^v-(vjPjCt>#uLC@-NA*nb-?g8`X--BFjtrFQ_oDm7cWsN?7Hz=pH> zd3{sy30~~{`Hnqe9^Xlr<;yr8Cc3UIP{^>Q$Q?>Nvz7Wll-V^GYl?iVj}VI#GQF}< z37S*Fjga)17Sa95OMVv)Lg6(ijivr+{TbP!-PyWA z0nEjDtg8>3>!kyE*W3eDWc|duk(W|Bc7alhD|D%Pail(v6fE%Q+d+J6nHaDvhv#R?+`6{oDIZu~|?AzQ>D_5lb*UT8Z@c!qU}$$3&k=g0%ig@V)O-i~zZ&Cyw0Wi8CY;1}ySHpb5?HpjCm zg3JB2R$+M^DrWmgLlOm=6+ov0^=_3PB@g*oinqtsCC<19Aljndu8kX-9!%RT@GxG9 zOiy9NKm5sjB?6+1rr@#^`>yR_1>KOtrDx}$F0wx zqiH*})BRPI5sxIO0{u7*hv>4GO9Ua}1COa(Tx_R?<&}W-40#rR+aWO0+#g8M4y&LX zjr~UUSHD})VlEN4-R_%Nu=P}niUE$t4TGG>Ozk1~-Z{kjj%-0i7RzyKd`1RzPH<>- zQbir%T6f`#i<~jMA`aKCVAt#b20L3fzaxb09@biD^1Nn*7lsbI7SkboSXDb5+RIER02?Z1SJA&_-MU^F9D{+NN zscFMVx4jYZYxL$-pqOl;rdn-nq{i zAQQK|`W|O1C=>$Hilg3=z`L{G*+FOAH$7AR-B>|KhVt>xKCe9CQbZ5>)Lu@QD3F!v zk**>(MQREZe{91Sok2O6rPF1}J%g|U!6tcjGU+2ohK8y)prkmM!V8ih-5`tEO$3s! zIO`I~=4D6Gil1lCrHf^CiAlSe;3G2ar^o1nz=*1_z%)orDK`^^T(b`7Bu*UL6LD!~ zQO7)?xh3_jJ{3XT?yu_Q>Ml?_YTTn6j<4y=uByXtOYr>K6bZIg%=B= z*H$RX${JW;1W`0|0$J-4;hx>1Nbr>39VMOf8S55L-cbP5|3SdBUC=+U#WlhYIM{aa zc;Qq$Tm7S}dSxM9uem@InJDI(7f8d{zEIv0bG|IuYwy7bIDw-}eK96k;Y*pS_adY+ zz9xt6wcZ5=D7x>!d*L23Jxpv-UwMp1n)&g!V_QTcyUqerQ~LmN(Jw^&#=iqBuox?S zd=QvrqH_r50v%Z&vpZ5lGV7^gWYKjfes77O=pCsRQwV1z$ixsAWn)D+g|Bms)gQNbkoKxJ(MG~yeA(i@l{8YrJh&W$zmwreScWatokVr$Z+9B`jOXEpW8a`jmBFjxEU;G9V-od1fAqv`e5QnW0+hd2 z5T|p`uyllbYC}CWi5#wY&n1V7lWB zZ6HX|+FjQ@!1nGi>Cw-mAqQkSsVMKg;xo3eJOStn+>5*R4p(7o7}Qd=OEg0_2?cuw z`P_f8@KPzQwO5VhSp{V)iaGqSUF2bXM}9{<9M#=$#_QUaf2e-+raYZ@AX`{4p^n91 z*8FD8WeNB3V9Fk_n zMH4pjwl9!reEbzXO6Pn@lEWm~EaAJ0KLUd*Aj@67<3#n$EFWZJh{t=bq4*|G_=$c{ z43-ytlKz$Ro^qfR{gWa?Q$Iq#%v^e;d!M$l2C)nbMe34fD@YSdRz-$;V1^K<<-f+V zG+JHx$z0*RiY*)t$4dhmKC*IFHy~AOgSy079wnohrv*SKov@3vdO%bxC#+$ct={|f zQJkghYX10}>2pp>E&w62d1G2=F(((vgv!*k-XuB@IvR%grkvEC(z*ZwR?u4>(9kC58K^%^6$AX^ zrUL@gLn|Bssu8;9WqsXlJh|=={8F@vktOtn_M|A=Kh+aY=FpAmaH$uPBGCLu#$YTKt(U5ZZF=&S7uVnq?e@5DH&PltC2=aJ?ASwzd7hwe(te zSs^I@{HBVTJ9$B~eH3JK-dpeA?8;L-VkN2b|4ZFpA&@kiDq>op2X5gVuiWOK<^1ey zS3wh3Zg@DO-vqt+qnnBSB?D#-3M>E9gew@6dj5wFXpwkq94*SVfmMPWbjIq)MC$8* zO|)VuDue;5nmA!hHC0+j_m-g(bcheeoDKkUDL0&4)&~X&D`*33f=4^(;f}iog5l4` z&ei%z_aVEiu$|wep&-)uDKBKW)R}w0SxQDGX8~PnhOXVO;NajOY4{wNA~XOq6?<__ z+yN$8DgG6Edk*>KN=WzLjqD3x=*(@Z1Y9TF=>o*MFIvpp9H%oX5}X-0RG1DbrPI>S zi+JGBv&KR-2yrieG>8xaJ=S>EIsHaYvI{gZ&2(ctQymPM*7#MhWl}4Jufm<<)1T;o9-sf)mTpsG@l0 z=2k8g*J}_8fa;p>Y&3qO|9Y!YpU%Xu!TmNmQosPF8bGp+jOAMf&D%CFsLzV)g6tw4 zjL$d?DX8b>U#?y-UFkX4A3HGa@9)^R06UPiDMg%WdB|N z9$Wqq#XsY%rl40uxkj7Md>HU|yZSu%Lg3182bMJe11auWujdF^`vro~lfwu0W{4ezJcFCobUn^rO} zkGM22JXF}c&rN&>RL1u(vj0c}+yx%w;V&4<$#Mr?k^xY8W2^T0J*4~cGc`6^1JB45 zxu9qj(5bBKeDdN#c9P#bHzd0tQ*|MxcfLT{otPw3TD;S)ejZ+ zlx`;T|+>vc`fk z7>Js}_J!idRscE#2K@Cy=pn%hLGRD z4hqbVM`O!kz3C?`jorv`#s=+fyXsgIC2*-P8D+k&TmkEo6(MN_&q_jXf--^QCY?n~ zbmHzN1OLXGEH5Eeq2QTw!w9zuvXSS1`b8njCt;chmz`I1DeOBZS%{4im3%L% z6wgWVEjQN2fS!~goE*wUMaIG^*I1cynpYJM*huy#vz3aCA(|StzE;Z2FJWkq8D};o z%?mNY8RcGym6YAz<=;K;KCwt@o!_=AZD21i9kQm#?AC(nn;H6DRf({Te^408d=gN7S?51r<@T25%JbCPO9P|*7VT8n(V zM6pKK(H*~MVgPJa&I~6o&4f-ke6mn}Gqc4W7R;90;umkY%xZEczTke^Hp6vJ{OD(A zQ}=&Hz1kipRXY_}+9YW@7H^yZcnu+@f5V(yGmVl|=8e1W{S%UO(5~Ds71f2D<{%B! z)g(8m!`t1iViN`)<$*d@tN;d2i!oY{)b_j5kuq|}M$K_5(y7<(U;S(EHDfs8@pHKq z^Z&|q6TZBh@!2o8=f|9xL)|b`dv7Otein4SE$mFvA<|h4ZUmjU6-J9XlV?_KG%_+m zz5CqUJOzq2TWSaalmz|;Z`qQoG_Ga|zLiotb6Zx@TWW0XSC-!bnujy%iBu+^2up2<#8_@tUcq=k9ZOB7)NsuSL?Tmd8lE(IlgzQ zO^OP}=lwHGI;#2NA8s^gCIzmZTaz?j|8^^B%(=g*b}M~<5~na|5zV`|7C%A+75c@M zl||0qKcD|}pK1u*W<;<#@>6kmI#W0x)Hq>z{JyQPH8kg2YZah9i^YlNwn ze5Ep&p?S9nX^K&AN#zDWa0Slbm=@M43 z2V`MF*S5F|-iXya$9ICygCLD@OOHNJV-g@W*3vD%um_VlZ-+8w#TL1`GD`Qf9SPS# zU!#ogv&j5geqs4lmPNo^?Rev!-$*-b(KDT*0`&=ZnkRJl8EL&?s|8KBqQIKYR<`=x z9h{lhtQFlH-K zNxGU%8^f3y!uSICSdePJXibHuL85=A)4DSt{4(2p40m`~!Q0+KJ_!xYc$9L0NZlbWs~19Sr(1K~w8sQm`M&4yJs#*Lw|K z3qQpugp+-ENDU47;xwZA9CY3W-W}RlldmrJdPL|y?e|AS$bIk=zu!!c^l)jm-z2Al z$5$l3h(j|%-1L6)Cukb}F^+mh_MBc>$*WQkg&>cvJ6=R|dOh){%Z;?|%c>0|)Mg|9 ztKa7~MwH)u@&s(?v{|crtrl0w4mz%e0$)!BJx`JeFchCtRMeZ?c4L2C;h^{MLtWtc zJ6qIXB8OY%86v^K?Ox+=AtR3gHi5Yx;r`VJgBi&5%ppOkZ#j~2D!FOS4*iBK8`(1DfRP}a02&0K@n7s5)Z z!=qb{Jf5{^GcaBxQ;;X>viZqO1Ouz?8KynM@Ap3Bli`DSHKs#NKf2ULq;e_4{>&`}fXO5&=tzOf~!v z8Jm$aB6jiqt~Q1ad1iQtSqCO)X*|}|rRN*fUB4^WtO{c|hxF}9h?H3%-xQSOd@iok z&2u+X!%CL5;QgTaY)&Zn$6{RKHA?XyE1Ywd5s$C0afGm%QT0c&r7$ToPKG$QIIN)d zjrhLd(aoDjpO!M{xp8VCwsSFtcMr^}yzx%V5CPp2V0^=j#~rgVL?s!cPva;UtzuK` z1J^?qe`>F06mG6gqyg!DF7=6@VcTRvW=esFxk6&)6KrHPCBc;+>By)f@vC6!!j@G{(GsQhTVM!fxp_Ey* zocVJA?-Y!tSZ*w!N^RckjU#SI+~hrhVaa2ZhM`g*iz=0>p`G*g!<$EBJIti zsowuT-i;(2LrIE|GGtbfDU?E{RHjXaElF`Q&$Eytq0F<&6gGC|*-lC3Df3Kbws{`* zeSP}@+}8(c9kc5wftPKfjz4-OooHe9=cPXsYgeWiS*UR z7x>c#7ZQa(iQh3Ybo>#K1=CGXXjB_a){HD=3Ryd5|sOG5>x-M+Wq1{tQSS@&V-VfFaR$UqSq)Y{RX=#KAEV0pbY^Rwu_>z`O0~FUF?GA*4V2&@_5z5{{PDp`AE1$b z9_@l{0)S07Qyw5^b9qZ-S^5yEUtC)@-^H%*b33{} z1{abHy(80%+~IFztjoTShN~GS*)&{TP9M?lK00E06v6HbW!`WDm>MS6cFP+1Q!_J_ zzM@5ruRv+!Qx4ymF~_@TX3X@l(NO2?7&M*Y^eU!2I6gYx7XQ|+UVUwaVd8pYqNiw7 zQjtWJ))5=*tEZXD6WW76od$v zpUA{RW%%a$+hNT(>`^=!6DFOT7FV+M0~RRcF3|U!IfCn>5P48!j(4Y2xFagI2Q9Y% z#+C)YA7F7-j%3-8zwi?1i8a?j+ss9P>R+5Q5{O6K+YLl8U2tfdL4zV*MG{N|Nr9O0ZigN@tP9!ZNCa)EqF4ebI93bwTN zXxWW;FqZFfD^HHNA=fw4nt(vhYQvC5KjzlHTPb0*>k}MQ2UjVsx|8y=W0o(R*XGk4 zd}SMDXAd)y`*51@dl|wl77U_?M%07weGfDTwtZ|=TvXq~$4tJ}b*ty?i9d>R_S6&i z`29VGPK*vjUu}A-FJt+~7hId}I zLM9P+jU;fO{zba ze4klb3K5SZ_76we zn+gt%dDZ^#;4D6;YxsiYHHmEptl5^yswM#p;-?8LDsTy;+uYZmpAfXq-OI~Po>>1b zeg)+5BJp&%TY|RjQiEd9x)lk&>hEF10?M6tS8Y)r_@!0)e6F%xgeIei?pV4rf3 zxUfJ)`~dhcH*nt|4xD`lDfpJkUas6GP%m-`7Voc3TX(nCy6Tn6uEy6K{JQyn)?~)* z=FXTX^rVn-^ZJMk=w&mn>s6wMLqK_Ck(1*=vyv|37j8G9EjfWHUn-P_0f9((cq2MN zCJ}#~iva63a$bD)TYqh^JjOLzNJKqaj7=H(kb+;g+d3E9d8IG! z6Cn2j2vEgVBT|3CeZ~#&`Ni74IrCDcuQR`xnq|2y<>O!i_-6aHQWvsud7kYigH_cU zVO68KfXcWmT`X#`Lm?zIF$=xD8B4~B&cIj0 z{9)mYt{Q*mLqkQ1=wQqAs4uypS0%%H?%N$&e$_oy?n}RV0!C3@aH7D>ADm<(cFlqo z7VA60yzt@O=wvV5elbPuzBSj&2C9gBki!M#3~r_pt4CK-)nBe)5XCv4he@@SYcQK@ z^%ITdrEUt1&7I3Bb+C<6!@yG%D!T&4(tQk=cyaP}tbyo(XnBDL4EAx6_b zTyrrnK3)56YQ-Wi@JC--~(@VKhonUYA5`nG9gF~>-QwKgwGiCSLW32VnlHa=)JKaQ`KST zt&pph%3_^1<2r1J zz32oOpo)V`dgM4`e~nEJ1|9wt>0@;ttLxt zdY=1IS3xQKg8PWb3y=finJ;X(zj~r!;`u(GlEj)GzVT7_l^$WQHEM+W<;4znHAeAT zH>aQ}_nlC~57fAlrKOE|t$HAtm`WojTCbpGr?pW(qJsCJ#;FmtIWO{Ay7674eF-vN zD1LfwL~cspsR%ISuhp-_-8miORso_(4z=e6;6K!2=O;GbgvM^c)~9Fmyru+a`t|6F zNy=jJUbQ`!4aw6vR5@Q?_bt8|JapUWXRKRx@|k{BM%iLEYIygWYEel^cCKIa?4ppGBURb0j*@XOxuyuBBXn(gu)HY@-ZoI5_h_UVk=f4_{mkBIM+iOXF0a;Za z)kS+0pd0w~-b;y&oZ!<3Merun-aGrSw#lC`S+RNv7eOqI8_(4USvS2xd5)}9>mP(# z%6K@IM{bBYk*e}-Vq})5P5`eZfhs8K(YTdp57<6WDppbAwxPo6*D*Q058pATtMRy% zM2}z3tR^(Qf>v$n8_PnUDfqt}>303#A`Dg7CwWmk8mD#PMi<82z$1G?0As0BGYS0$ zHYQ_8DA8}cktbzy{uw-W-=1q=Kr`_#HfUj-oW?EP{yuPzx-SF@Z!Wq-TtCvyb$nEx z{WI`hgTSi~oUazybgXZ^)Hrf^DJtiy4I8bAtrO9p2TKm-_s`ub?-LDgiqtM3PO^DZ z4TtnrEDYnRHU#sqtOcRuT4Mm#urGKSx-!s99-?Oo}<)&+ZoM+EVDdkB< z;8_pv>-R1kr&FNpPT`sm?&};N4BvCIy8iiq@K-%#PXitb7pELva@4yN+PrgLrZ`n2 z+KfC8KM<*^AqxA%#b~j`%mnGpNDW|#kmhhN{5TPPK%z5tUnLI9HIHv6&n)hlCB;6@ zjHMzcgw%M-mQ4GN+F3smZLzf8F8g5^&dN+6B)E~nszDkrdy_ckcPT3*)R^P2XTu#p zq45@4ns;_C`gFl5@ujd(ll^d7Vk}by&k!G)L(RN^xy4)Uh}X6~ zpr$f24nH^`{h8qM7>w{rLTksp4fDVXXnY4!(^M9M*Mo3}i6=U{t^%00iF0*l3>|y4 znJ-@a4S3AVAu{yG>?{V3Bn#9bf!P%~z&DdT<5pq}yL zD1=~gv@(?P@Ong#d#C}dQi}XMWiN=7B8PR&0inD0c(HZ?p$~d5{dXm_L%e2A_WKhUw zW9l&If)n*bZypB_c3lZE#tEaD$rD{hF_gGNu*&n=yZtM0uw#f-(H4R=#xumKG4UQ| zz6a|O&J2|6`yc;Tu~_jY92qrQRbWQmCH+VKoDbf6Sm`UIQXDTTh%#&6l-{f5gZD4e z)TZS`eQLh*flGK(EM;tOMUcBo3sc@50XtzejJoW#A}iNI&b=-_vzRhnk@7C|)QF&e z{&MpOq4cL;0imR#iwCzKs5uy6%p&vbQy2q!d!U()QQg-)7!K#~vy_2LjrE3}5&5U% z$97<0=3JdmQPN9e-Xh z-$i<35ta}d9GiQ!d6QV;r9$gViD^YcC(!LH%nz@#Cica)>Mwv|EdmSnCE=>0Q{#%7 zAVE;!#;x=F`?0BEst4l|fWv}6Lggf~WijpivHJdG@UbO@yVq5Zt~%_5GQhzHL_~OjNh;mR$}0=plO_ zMf#d~DRx~p6Wn&}aPrr0tNSx(V5*DEAHoh-9T-7k!e}Om^9@4QosQ4V7fd8v_QLW39pbyM|a99rNfT9|P{D9r6qQR|m5u%1id(oP^1(>TJ zoCH^0WaK=>YB@5V(`CF~;>|eIyZRc$($liZ{{!n;2;pg_#w{_*v-99us3tfW&>G}b zc-GrCIC=DE4Ub8N{TT1P7&5Ozz=>8Mpw<;Sn72O{E9^4k4nN*h43n|F5fRInSHjzr zrYrnQ{o3+;O4ZVUW&K%Lo3q%NDEE#3Da|ea1b^JI@p9@1oT1k8^AGMOo*fC=UwilE zPrF^SbOC*9`XSY)6mT9$GCVVdyRuQoxf+vC|KPeW<0i`~60q~ZpyzOkeK9TKfz)`z z*mgb?ix*oJRkWz^A$i2L_ZiY^?K zFjZirWhB*>i=({Ga4)Lqu*P!RF`(lFn&MsONimYu@JtPjmacVIVLCF#*C{9{uBl zj;Snu9c;LVf4O@T`2XBVdM%S|l}FE(se=Cbp4c8HKNj5WI9Ad8n#r9^2DLrJS95gb z4p>41Y7gF=p%@m~-wgEvn-{jYm)3^_a~;}vsoiluM;O1cu1@WYy65ZUXY|vdP!b@f z2oZZ!{i@YNxr^N>A&5i=9x+}}^`Gdq`N)m4Gx_ZR&WnlYx;zeW%?uypJU^+18Q}M4 zQwPcpFP3mw{*tiueE~&DRwL86@#gj?r&`HRMQg{t5KSH&;0fBggR1}ZqxxQ-fj#Vj z)>VLGt+C?LAkC?aaDb6IGQqlLVC*|`gfv8!iT7&F|A;DI91^!)>A8PBbLDQgdW#NfWv^W}J}6NhIGr9?^2`8-AL zx>WX~FCa)eMv$op4_R1QzuYbzA!HjmbSlWE0MoPOCakK}qiExGGr9JJf3mw)s{)~P zbFiiiNDERM{{<+hQ|^5$5ZId5jmxM=%5MYrz-!P)OTJJUhM%5!J&P>oH6oFds>l1u7hO`4Gh7<*gACZyHngYXcz6I)F%*&htbm@zd!#^e?_mWC(r?5zOXR% zJ+S51Ka@Q0b0Gkg^AAGRL8N@hXAB@5ix;PUvfDuAyUnYHQGfyOX0O=BW(1G)X6Fza z`%W47i8=+@Z?%P8d0>eV%~iYUOg5~QqXtIExJG0yT2Xg914we(&wa!;0B&ZNVjAww ziiZ18-8k3iVZM#TpQik4AJX^cQ^Uc~&hsPVsnsI^bJ9hqA(YEmMAaphV(RxU?-+Up zFxJ7>vB0eI1xBqORB4yapY%C`R>+r}`W(FxoN>C0QaC$fpJd11PY-4na<1sh$dxV> zN#eyB;tF3Tw)zbo8V4E-CsO+~Jiy2tD~55-}dB&)b(X(W_R-|<`F?QnlV<-i)AkFu#Aw2z&4+lY}QeJ^BVd$j&8=sKV!f*@`-i ziK{z|+5l9LegU|a_}wYC4s+Ozk#|CJlg=>a1&tID?|Zu9$p&Hj&h{gV~14EkJv}LOH}hfML0K`iK`*@JAqqhQP<6>lf-8Lyu`r{!?q2)XQ|-d z`FA(kfR{gE7}NNy2+3-hm04L^^G7}@IH}Z+bW8jO7qoO)J7F6xUNI$AR^1sq#h5E@ z1YNm+c>1;QfAA-OuZFAsx(n2tkQr`yu>Jpu#TQJT**TmY0CPR?W;mA&$}qhfy}M^= z2NVd^@H1OG(17z4oB@JYC#IGIN-8YCH~iI`o$<>3Bi*0jGy2sv!g&t8k4@F1+N76J_qlF?)Eu-Fs=H>UdKJkUvBvP8L(zVAUpzHZgSb-$+4bkH4{2Lal z_ne3jgUP_g*TUj0F&J8~+ma_0?Z9Gd;LeB4{UU}AHtPs?s)^_rI-SojrR}D;{G8O% ziSG>6}X0Uf--?)UJ1#fzgmvMDF=YWH9dCsechw2mKCnUvkWJ?9f- z@8hg5|AYD9u3Sog@)>Ckuz;{!0e2DF9+^NsH|*EiHjOVlH!L3e#)fsdoD0;_mnA(L zM}{1USh8ld|H!W)?{J1{-uWT7*W$j8_l|2Ht;jz8L`&6Cj%v9G8ykq7n9DIf%J$k! zWk*ozD%=f3)%zM6VSl&Lh3a3C>LvL5$B}z4^rH9Ija^Ek?WjMsa}hF#7I#dsX+mGf z*_<)3$jl^#6737z-JzrR%5KPQ{Wf3`T(HN}G_QBdxt~;wYI;T&t5c|Zip&8ReB4aU z^LVN{8vmbhN^OC*9iFS&X;L>r5f;rSM;* zT|@!}#*jTg;V&Onj5?@4U^)SI83bZYj~%%s>(t=asSVcrglX0Xjtjw}G;MIlA=rg1T2xzxExuwlvf8%>_j@x-bWcN(1PoBqaW z@QJKBixTVMGd&Ifol}X%@-eY2f8SOQVo&zoR(3Y-)EG_r159#;nZWS6Jljyc*M+8Sv0 z(m_H^K+czoL|`EQ8_9||xQ4tq#|!z#D&YLdg6xn}f0aETEZRg~A)_h*6zV-tJLBIb z;;Ei~sNDNp*{_}PQ5_@rFQ1IVwL7gf-zHT{o1<)Y&(+nP=v_ic=Ufr$m;rLaxA|b^ z=Hbx+@$kpo(w_PH^wyV7pm;hy>V6jX-fP|_)`CKz=xIHb%=)h@`jt+(;44a09wQhZ zPaCTMngcdwkhXO0$fdBY|NmlHA*w!wh!r-kT@&TUp#Ndexb>;sW9G(od*FAIYKZ9g zeI@MH=L)cOu0n*rZ37JYc|(JCNpZu^;P4|CS4ncVZR)50oB045x5>MP5g4 z5CY;g*nl`)kbs-ZA106OzM3}BCV6fTC{Umw%>pDS#Sf(BIgx0y2w4K82mMwTA4$`E zAgKU(K%GBBShgZk4)4XO5sW1(D=H%4g0`8cv$Za@nUJrBND&5E^UEI|UVgMoJ&3<; zbKJv(@`=L&V-eOxK<5N1_ri3wpVV``;NVRDQ1F?$k~Z%=Ii*gav&VooIsuELL#l~? zV)5(l0X73Cke-!SruxQC7+y)}<@U5ecaUP8MRryfa2l$=H@+mpidV$pNkyc;%A?;5 zS=So!Bsqj597>4dQVzGO*?T?$9x%?tUODmL1rGd+d{ zONT!fTlOvBzSC+#JO|Q+8oJG=Qw25?wfb=;e$cKjTQ|oD3m=rj4f;STqQ}N7B(I+q z3q9g@rrF~){;Pj^*}3q4!2vLPLPsj1_#kJnc@D4tK1FohjCz+WsbCNT+i>saU#32ZXJdXbwDIXKv|eHsZuUo_-i> zFEyq|N1q$<*l3NY8KDs${`lt2B=O<%(iOidDYp^V{-w5d?6}0V zA@p+_4GP6AE}HS9sviLy{QJl%qyww4*9yF{CzD2CXn!6l_<5y)#_+DPUNnq2Me~34 zG<=d{E^wHR(p|`uJIVqh(wGHEKo#V?A;v0N$S@nypb(5Lq974gMlyF2 zMmM=DzZf;;@>mU**>-6+LPi(-V><@lvl*McXaRHF zZ8gdhoO7(KOQ`0WARCv3vA!WUsO{d!r$dW*`#rS0pW!iGC(Gr(l64G$as3fu)-|E?@RyIo$pxYEwzn+ zJYBb`46>ZE)z93_I#(n4v7tQO*w3(Md)Gobj;NqfRsZq! zclP5Bua@oQprMaq&wr(V%2?n}h3ELHLYHvp6dnlwpPLU&s zK`ff11(7I5+N(}bn-h48p;$81>~@@XNtcsr)LcS*>#!Hy)B026EW%VFAYe~!Spy8h zZ&aUTe5aSFCNP(me^JfKc6&3vcP!yDeLL*Ewkf3i%@}%fXw#=aX=m-g1RXi11d-?b z9c=+=IV3c+sXzcJEPm5@t&$<3LSqornCUSjO(?sI+>WCg$vbm^dhY70*%tGJ=eHNu zZda8-Z{;@bOYv4Vm^US{3G$DAdJ=zYYV>Th%gHSd8M;nKAsJ1LLEmga_z_n;S?lw~Y;9%Mk9!M+Fg{I8Wdl{v8YfP2y*sB%w2FIqHGZOB)r z{59B&O{^|^c^P`uC`2kjrmmI`JnJgUVAc`nhu?Q1QBO3hk+driJyD0grJ z;KE2@W5o*Ex)u?5Uw)&$Mas}|b*ZG?sM)3kE>@iH+G8UnLqK~cuYz+NJlg|^aI)wl zM+Uea9BIl~pxjPO!iU=_5Wtzjd>+ufQ8Kz9VH_iMHht+u3Ywwnv9@FqsKRVVoDjPb z(y$-CJ(pzjFo0bG1+*M2)$g93D2GA}MDT4BMx+TPc!;Yslq2r7J8ln{TS6~yb&&yn z!rRl}gzvcrqZvI_m<_%(iSP!IMGg4JxuV|nH5?|xFj#0hk6s0utp&KZ2z=&s6EJTS z-zv2hG0FGV`P}S)A%8{+|GjX-#1m3nbhc?U4zCRqq-w~y7TgVY_%5krN5pX&C@(PKZ*Fsk2g1Ov59C9tkJb+u}dHlEQIxC#K z7imMvzqX9A2{6=&{m53?e?7Q^(23CC8~rl^0vuWa3Nq~Aa8aV3X|BJFFXMXz{dQGZ zNx-UWf&7MPPg`V}#-{sVfq>_ldAo8rsK?XwORMUeQ%QWxL2})Rq_QIEh=?rgoUoBW zm+?>8y+(}%D38DU%Q=Jba31-&YCzg6?yFl%;VV1^YW0ErgbYRCAfaS)Ulwqt=>qn{Y0Ppng%GTta~-FdV%^1kr|bS!@G!(Z&x#J;4E;X1waRZOwNjSu z#h(5GCPe@t8sa!me7rr|XLCJQc8v1+8SuqCNCU!~t5qjUVe9^Lmj39uf;s=*wm?b3w*eThB)VyjO86b8w8%3S421b2UC$ ztlsfzr!dn=Ib3$H?e0axE95?xo(AAfK?La3F}V;#AtFHjoE%M2sbk@1GBPqo?65h} z8b6-h?kCn-b4q|V&oc)L-4jzqwX8-Y4ObKO1UxeW>>v_06_8ufjI=u#fumzr92O3|P|5w76*UMG~2u{m_yq43AR z;Ep9V>)p-jqV{7i9B2`MlTWAUW0wE-2-^8XW|{9vW@5&0ml}jxL!izbmVW_D?DH6M z9MOWCe^@B~pzKh#cHd*O>v{3-HQAFQ2d6QN6O+NhPKT08N=jRZw7%K+xZtMsC>HX8 zhvat5y|>LniEc2;xs5oJuVlTu{CE3)L>s9iUGFca&IpCji8QjD-}G%@44zP;03SH^ zUs6jWP|ciI=Z|WvC@HuZPeq_I>9D$#I6tUXYA74)CBcqCmQ7=ACs0P0@$289g3m;_ z>V}4f6o&@jLE@e|s=Y}Hs`L@!Fc63414|agg_pKGpElk%D`0M@>;8e68R59`r7L5iDomPC-Qjd{VO6h$fT=hVL@ITibq=I8+PGjr?kxb7e5a*hC_j zktDsF39LIItDx?+PP?x6%HtXn#&C6JI@}JLj-YdLG$H3+Cp_+3N%PPRO*0x(9k#Fa zYAmIXhix<%po0z&(>*f&Z_`kqDL?xI!lYx;DiKfvMem_v?@%Jf%XsG>9_aGQz$l8C zH!1m_fRqB|;)iOcaNi;HASGJ>HPgN)MDfmG<*b$;!9W~XY*I%Zp9R@>Zn!Jtp&G!!BaW&zIg0`h#wgvArs9Uf3PWzX@ zbocrGLM#6h-d_|V=Jc4oabe=RFe0HrTq5|y=is~To1g|_V-A;`;~9V8GVMKX0}Dg( zOr;%gMM8E(>Yx2H2(MI$JUWFASCx#1YjB~}`;Z^bNveovcZJApgS0sCc21-@Hq<6J zEu)TZVd0+e9yt&PzyPJs~>g6lI{$yTk%BBS#X_CDKxj>Gz~`-(@uS*O z292_ObkiM9*E$OxD$3CZ9yB`HnxPZ6k z4v-J1wegqdKupvI+rQgn5!Jb;Azv!^u+OA&d^?-Su;dOH$-2lgXF$<6MJ=-z z7Y(#uA@RwC*}cPnS$qHn+&`yeN^94u@gPPBD?+K97gEYNJjGFnkWNZh2(p|Xc)Blu)@pLga zj?F3iOux&B|5Ep9*dmiNsVEvY%l6ciDna^Bo&YjLr_wM$Fl!#~r4aQHpAY18#*(QFTUX3;^Mt}V!`<1Lu=xH$C3DYXm|wldfm#pOWc>G? zj=y??MCUFx8!MK%kB&MspOy)N`CU)pl!5N&wofA{ZzJ-t1AV#Hv zwq_xS2Vu_g&qnPOpF*{0As6P_PnNAg%lwxUbpf!mo+g>-h8$+eWqTww7ZLYyD!0oX zES05fWT%}4&k6*peXT7sx^Cjbmqm8UkPTn~kj4mp zkak}1fG{|E1*~=ifHzCSm84g8Ki{BJ$2hldyMC)gY-6{A1fO`5sbfNBq%($N@%jmLIH#>J3yf%b#+gi#WrXvllxx`kMXtIt=SG;ppPff2ygl*} zz(Dk`i|dO|`D-s_)z&h~HY{vSbNNFynB23FJe`AnUu z_v$~;V)us^=R-0fvG>X>Uw|u(x>?N|z&lMp_WpfbF;yP)X=dG)k)y4g zKqf+o)s<>a!9NY4M~%aWb;c7WG<~HtTY{bonkkPVIa_w~6W#m}jHG0t%~|YJV&6J& zfps8rL@xc!pV?>Itf&9k9R>(yjEZ0zTeI3}t{ZywG6M4ARGQDAB>q{Iguh-o(`s)s z-MU4I)v6)mUuZL)Z&mjfUcSJ$_X_TR6cBItI+JDG9bm5ko+M^wNX`*fmVzna7T8zo z+EbzAzPz;1JOYuUK8&=1R51KLk4e9-7c%1)1mZe)YTd6lgk5&-hTtGUe=vBQ4yzM~ zEpF{-IX-=q7B}olV+DiTu5Yl>&HHq((a>T$B-8<7OD;kl)MvBi=$8-^6prw#{@yH{ zP}A;5JiT@tK#B6XR4CA#j0X~dJHEZNchB8EC35lUbv|BOh_MEuxaZur?A>$nVbZvY zKm(*JiE5Rq{rNJctWwlhn?0v%y<~VL;wX5S-8)sudwB51#1IUYoqUuj&Y|$U@IFYb zRBaT2l|i{nTh}nX-IHLC47U-ejVCP4w)Pz0qvnGFA0QfG4^@{DPv$iW;}J<;Gg8C} ze0ieD3epx5*`Wv0afx{9*)l~dz@#&(=3}PUg`=*vc>cIO7xH6piV`>Ri2sSsbMcYk z?y^#`wTLZ#XlcG(T~bFkpa(iWFp(WhX+)m!+-o*2Ari@%3_b!KXYPX%+uxugn799r z0Fo6fsH5i-a9=99YUTS^rqunp@z+iCxuB?Kz793X1&oV~Z*e<3Sn)5=6YnF7?PSo? zHNxDcAZyS9Zx2|se_I>PT?EHAYuGDIzKDdYLz|B?Wo_!#ZLK%v7U7Ek<^%89Yyp3A z6#f!EyJLTAu^0yEe=W3cahBnv&Z%5-Uw?~F5+N{RD*K*gbsTn(oAXR9(sic2|@ zeULB+gJyd=cxTIC6M_VKzl5mm!ID=AobxjY*1aRnW6K-hG{I}B5qr9nNd*{~xArA` z#l|r{J<%zX>#5y2U5xTj|E9AXZucd5v$y6umpD{))`N8z(*7RpAcUT+uF*Ss(dh@t zL#cV6{8{5=Htk{_gZpn6s*XV8`EZ0tYI6>erz4^!SR*0!(BFN1nQGiS`L6{91(D9{ zNai98aJn2wqUYZ&P(y1O!GQL{(#JnJ1tBF(6lfy|NidXx?eIlrN2vO@Fab7Oe_`V= zAw}-+9k#}!sb%Ao0)2qz0Q6#UP26p{L9QlOY3-Tf21~Z%pK$KJHgXh_`KyA6N!7>p zdrKW4c8d25@1bQMB~Ri<*t-90fLhUKUaeL>7Sb>518n-gQDWV^t+ZR73BteBcA z(q%;(Lc<4ROKBk8lJd{M22Wk|v)@dQayVh2K-JqLRq2DxeWse}OG$2Xq{;zNca#S= zyJVHSvI2|v4JNoi(fCdQ-qrv6h?b5Add+$WMX6+cRX`~Kd=F>>Qmi;Gvh+r>U2cOB=TvPa~7?{a9@D_HkW|(4>XE=%E zQ)owtvuf!sk05I~82FgQv}t5~OUB#D{1(Fi$}KHtILtH0(; z?rY&K{So)O!HFLZxwnVl&#)2QS&WkQG+{D=T*2}N-EFA-`Nc%+jFJDPJ{e@)>2=zTOFgkkD=p3o<^a{rRxX* zZhtYqZ*>)i;DnGI`ikl3C!62sygL4hjg^-c+SL(6-fu1GHDg~`P@jevyhL7G@lrl+ z==!E6TAsn&J({Sij)XpbZ*&+ay>Kp7ddyp_wsQaqUJDUJBP$1tt0=O3KY2j({*y}) za&Qa2A~5|hhWzn56t!YMfhvQ0@*gH6mrp`ftMW8-be1n(++SWkD zAM%6#M@=*8()At1FXzk1Pwb-(kk8HuePJWI+_c#R9u7+*KPXG~=-Z=^HL!`m0^x*? zHYe7dIP(mCp^1h=84^ZsEp6F74S2|G&tTFu0;my+UXMWQOOZdL%PKpN z{h1wtIEF@@JMlIAjN7mLp|Sb2oSd6Yih^)$>={5P>cJ+k3%r57r8SOqLzJ*u6@eTV zmG~n?_j{+f>p-z$&^c3l7O04K^ zNzecNl!1UAef2EWOBdjz6j9uU52J`F! zlo+Gc$)D~`1LI&6Lb}T(5UzP5?F2xw{&@QoBPk1zTb0zfkXF3mDMJlfOpu4)%S^O; zd-LCZ5g{yCSO;MRISPA%gTK=MC_|8EW$B#a@&-I7i4LS1e8AnXM89%`I-q*;H`S-| zAdzGTXRtcf(_$52X+J=31;brW-6626|L5h^GqlxQE2*b06unG_nz@OHQ8b8~8dB4d znhtZH0vA9h5X~vG*>RWo{P_-R?}I1EunEN-4yjKg)>1f&43B?Rz1FkF0^z8^NQ%Mh z&5f(@gu#vtDZgB`=#tHDp`5rhZny$T5USRw59$_(4Bs!29tZ-GG0@XqZEv^Y14*SR&VjqEy zJxl`u(bl)^pUm0{8OJ-)a=ND|)@w5){TR+cJdEca?-k*HLZtvjOYJ?pga@`6Z&EQQ zu$)Jh5n19_T%#JM{_~-`C_L3bnYjzJq2npJK|JCU6{QYj*qy1$h$X$CPX*K42g z8c0*bC%;oo;5JBlU%we{dKME1lODsoby|TPpg{UovK;9?p5Rt!9JmC7b7{u^NKo_+ z@Hx%FT0iZ0sr^_DxnZ@mqliq!4*Cc=1d;R0fHqt$x@{<_m}? zt(%s-OC8H^GagB~-0Auz6HDVshHO)8EwngB*H= z6s-T#?)No&o$?64YId+i(XzkmXZVL;KyMyXcEcCylPkLn`S%c|o$U74u=zl_!%t32 z{hwH+o#qe|npuot2BMzwLgvE8w`$#Q=R4PPDa-9nImwjfjLkBH=;~AG2rUKi+)$ax zG^m2p6kdKoU4NdwR zT4YU9g+Gd$C#bIYb=^kM910 zZf!QYrP{lk40Y)X81mXvM!A&tm)z-ev3ywM(jPV7+4U%Roy-B9(@{zf)MM&<>$dj% zA9aWS!Esu1BdGyYeH2_TU#jM&4T~D2sImv=o#|C=p8g4@(70>ort>%8^YE2hYtquy z%}foG)kj2PAPzc|1xh;@P)9kw+e!Rvc+^>1r3tn*}4uK3P zkg%t>T@C&a_NhKmz@!6Ew$u5a5MJ9U$Vb#Y^k4uPYPm5C?0vR=l)wxc1YV&sJSfy1 zMJSqY`y5Sx7O2X(W5rZ$epX{TBfm|;;8#H2gBoJ=mR3cI8xz7YN~GMtM=_c_r@pGfsb(V*T!=G!_^hYLDMXy&$yu{ zv%3z(sWh#n^B+kP)F~-s`bcV_)Q&suD`oFCBW{(ADaFD2InUJoXFtD9^7&WJtP-iu z?TLC?<@&dX`VmokWTA+IgDEIsg0aIf>(PQq=8- zNE!kCLtz5jdrqiGOmmbT9O!v@t{N%{X<_-E5?$csh$p8BPfHSVWMTwlOq5;o@aK%- zRzLTXRdl$-=K>tGD+&BcTlwkq6~^D%n~C)*{TH10q_1N61p`+E^YXjnjALVK!}^svJY z_q-wn`1*Ik=IUkq0DT8QQIR7U`G}~30C@rg$bt*D&}qiKBbEw&yD(H4sLdW+=9YUC zr8W&|t=q&EcIB6P_-re-p}|~GrWgNKaP0cFLAUE#xIf*yY+GMoeMw-Vb{2}feE8PM zgifM27EGxE)38xb5-i(mWySkT>3=2)*|Ni1ANoKA?)>4S!kW=87EuC!>!a zU!_Lj)f%WwP8SUP`)KS`{_`-os=;*U;WFh}?~T*7VXrSN0b$H=wN=T%*h`-LYW?^N z6=^pr1|C!D8o$X|joGH5G5bH4wRKr{b*W0N!}y~;n+-yibn;XHV? zHF~z3jvLlkH}Xwke=g7QQZ!1t?|otVKKF3qiXFWcdvk7|)K{t&VCdenVz6lONaT4KlT#QS?)6RIt-!tt zP}W%(c@~dWRJ^Kd0E+PFL?l2&4uW0s2B^zGR#!k%HSL2ya zjA(fl-qLze#DMmr$S=>U9_DvUZ0|_co3fr$Fw=d1cbdBJv)n!1iONO3FFpcST`twx z(Yzi0&S6j2;`z)jGc0Xo|LDUVJ~`Oa3B(5#p@WSDrGfp2f8sdO6?JF&%sOPbG!o>L97Pcij{g@wGewJ=QA zI|m1wNOj0HwHb-~L$#*gYv|)GJ^D`(7c#kyzqVF%qc6_`==#EXw9*_`HkL zcdx_Ma>2QfA8Sb)(K>$y?F$RdUp!5yNHoN|$&bmpv`xI4I{BI+r|QL*?WZ;pK_g_} z(YL-QQxhJ8RYizA_m12)O??OBTRnYz_}2jX4l1+{BP)6)l%7=o+UC~sjPr(LV6l+p z`~|e^vM#|U?gCo)->#n&8hXF$`b;lhj<=JLN2e|3Rnqe7VDWf7iqscnkHlrHHZ%nPd&jpU`iynVr61*>adVKUt zScGJjPt<+0)lI2uvi&zFUWHu5dL7u|R2uQ5KJ#unx!RIwzXEBT#WWL6OIxAT|7%q! zw`9U8=LPbw4~}g4g69;2Gq0P4q}AXL`QbOJL%t#Dl`6k{&t*%Sas!*nk^dT|=9ZRz zfOaN`#k#7K@ICeVAt6Zy<&&RMeTqG~@7?$3y=16f0;T$<$vxL)=JSe**eOu8^}sg_v5DCc(Ud27#zX>>&Fzhs+>--C+Q2y%_-*?cz_uJ|{!_WayP z)WYvCMzi@pUHMyY1Sq9jl=sE1Dey5N?^~lG+fSrdT4AMW?1Po;QB%<A}OYQ!5xo2sH*|g;@R+=sW7od{y;U2RbamWdUk7}MBmlHO8Bb<1P?)KiE zpjNDm-<4AhnyVFzQ(`Y){E(bI4wIbn%TxYoBAu`_a_{{ALDW}=Mb$<94vfGElF}j4 zH6Y!gBcUP)NQ?+Lbhnf=3>^XrQU;)+gbdv9WxG%k-5zKBdT%WNS zAnRJ&-fk@lI1+#x*NoskV#HB9lo|*nr3D3Xe=CgAYDR<^;-|JR6zQVKLDRUqS zp=aZhf~r(R{F;cmw81Y;&)e^HPr)vEnj#zL`ODpdqB&}cRw_prjqhu&W23o-y{#?+ zAWP1yJ)@@7x3<=?8{_Rn_I^&fJ~0B{9*?^h)sQ8T!6|j;IEta0p|=Wy%0HEljr0r1 zVt_d0_8V;;!Ax32EP0<@p5*TXjjt75p_ew<%To9)k+w0*aZ$?3%9@}qW}kI!XR)y# z{-fyBc;P87DY=MKjt>qGhhF_Fx+*zc`=*-~YiA@azHB5NNvgD&8mgi)HJ3|+Sy_(# z5{a+h(q#NNN|*5J=v^Ts2z;o1*eWevi>Bh=(5Q|^LwOFMHp|q(8rFYj8dPT7CdKo! z(f|3ml8yyg>(GVWh}mF*saLI4)<8E=^la2D$O8=_RQaeu)3#2+1MAq>LbvS>KGd_U zwjvrWb^n{@Snr%T0ysEZ=@XzCxp}-y+sPG>o_GUAm4iH^s5)mNLUr^qaOZFCm+hmI zgDIgEl=fi7u^pYN``6#pm_vz;#8fe2%G2|mZG{Ob>ihNs&K90{D}_P1%?<-#T!~Y@ zSTqA$1U2UJ#LMw|)0Iqi;U_^GPcM`ubS8$CGQ)`)v+T4DEtCJcfF4`mt%cfyNa)S) zxDomBHZhXKutyN(Gb2)>=nu?5! z{7U5s8g|syG6jO30sG^Pmo%U(@MI-Ret52f{Ou9PC?a!sdmZ~~ew5{;Ni1VqF_ur| zC91cV4>hVM;^>eqctM@HY!JH?@$ZT@{*SVqmyd*_6L9gPY5_aHXT z1F{%I@ms;;tUHENgoxX@L6%Ll%`@&#dA{Erq}XfDdEFJ&{9!T{Kc$lec~_FCyC4iA z_phv9Y&x3^zAtO|2bRT)(kl&8QC5C>lLVX}GYY5U zr)SLDVsF=#oSSIV@xQq+HfPi7`GHf1!Ecj%bMNPB1kYyTD)Y0ObVCOoPk?|oyPfw1VwBK>9?SW|A zWbY_)%EVxxedI(zb-yECs9=k*nMxIQB=pfmp6kLo=tPG4(04xNZTqqtpDJBStVpvK z+&1<&O#uO0c3>B`W!AGmby zmy{Hk{6KmJJ>N=y!#)-F!caMIU9>(i@n(g%v|e|Q)x=|~bjR+ncQx%??7&3%2aww; zU?Wmvh8SoD(e-Tqo)m53Lo$86O_xGLc;zP&L%E10G`M0Z#{Ma^nZNK%sO3dIM9|2l)@d92yj>yaTgKL9|q$Hcxk}n zX&V?s09-T^cpXjvxfZQ-x&PXe^;RsBr%<8sC z5~*lw{q|_ejaZ+SQB8epy|-xPXmJ^PKbP*Pm__67Z&Vanfi0JlQ-(<{O@jqdbvKy{ zogt?us*{=ZS_uiBC;8i}(gGf;b{BS1l}=iuWxk*o6l6<`lfk&%NDX$Qos*NQzyAeZ z;0tiiw6&=+#YgrC4~E_U;>;A#41G4ey3|+~A#?#N@41&z@*-S)lN$@9ns~P`VFpo=+dw526vF(f zNq^%*;<$vYR4O~c(5Dc_kDiIEhw@e1_1b=mAKtkR1~!D~*8HhyRTgpGkNvdob%eJK z`j-=pmA>*m`yOMsz%QE9*{6Y4jr4Wg=RiY*@83arkahw`AQ-OEflZP@;DX*SRKeD2 zg@~e!c95LbrKG`rZS+<p~9wbiM(2E&rfk2cm<-v4ywOdQHEtkL^ zHy%v0SF@l~CQ|nR9%lE^-6TY1&&_`JB!AsLUp|t1D1H~TaWRL040{&J;q7@}O0nW) z_-ur(u%2GA>&LlZ2@a+tr(*ovmTrBcZ$jS#skA3+GoF5-VOaYu-y5KNgYs<(EFkED!1$P2B$%9mX7xIr z^;!aQ;8x%_7IB;sH}YNxLzdgoLx=HhbUcjBU=HSZbAfg}*|z;9)NEVfu1pPR!X%_l;&&a^f0WSYBYMjC~<{ z^Y(K5c|k`j@py+SH}`yvkkSg3P<3BN;z^KKe&PvX@&CD3ZG5uEHXMEFZGM;^I5D(Z zoR??m$abxS1zAFZ49$kBySXC9V5aai$(nQvAQ>?xo?^nEn3IYH-^r2&Q$XfI)J5V- zH*0X~of|fZl$|~Mdx#PqiOXhT<&-~+$Quk@DF%!Uv+q{%gD*N&K(ONqhP0So{5$&g zy|a<*UslAeW?W~bbI|3j9k;?jkhuf~)C6VoR)JyyV)LAK{D*N2&Pb%61!p3+lns+Dz()9W_6UZZ+}WK@?N7lT9m67~jPc@Vc4x#<9ca z*13oJor)t>5ii5bah2TDQ}t;GERtRxQL?n`MK2+dmTMHR3QCqh&GcE`21>}^oxV-XBVt<3WCExoba~9dSd=Wr zuWvS+_gh}{k#G5`ZLP_c-~=PjKkkX|jVdl)t>f-)igpHwXgvfpu_ji?`~WB3b| zJnl#>(F2tfRmOzdsLwUqS{Fq{|=nQr0o{CUNjx$esGbp{kEkw_bBl6UY548hT6{ z%kPF6lLeC%xpT~RKY5y#7fMB2Xa+xuEfI7eZC=tz(C!T!H%_6Gv}0k-h1<0zz9)s0 zi6C;PtzyZ?mg^()B~%}5ku2R3NbaM*H~!`|1^ytFl+82KK;HP^1x`?qOMNK42H9In zpN*7(iz|J6(NF?qpg}f#Vu*3WpTYAbK|%+CEyz zuApcE2^4UEUJ@+0(1W>i_X7i!{+*o_du|&7NvM(Uc6kN!Q|>oS1`U5`;4d1O)!zxR z9D4#n^m+p@f6fCD7kYfN_5Ad}wTmxzzKzNG8su8&J?6mk{i^MXX^hvd$>(8P`8_Pu z8<4pe=U)x3O1pV_`JlvfJ|CZ)wEgG*)-jvH3nGnp!EiOV!{#u@TCss49=aLDkwsUS zWIGD`N>Gv$=AJuBZ+tBo69qaea9nMawH8X3+}{k!N0Y&|#WUYq`%!c_Wx44P>Aw)i z(<3k<9xxIcgk>F6QbeEU`wZLd6@L*Mn4`eXyHExGJ3A>d)uf2a-P;`Z!iW4|9QG%G zcu3M>K-`UsC5GFAf`aJFTAArh(~l;fc_pwc5JS5Q7rwjvIgA7%47dt4B!JxS*7kU# z$<1E_3H8BRHu>YXLXESANRV1r~?9EcgY0QVge!5ZM*JPjO)1blQ$Hvu>oN_isM8 z%7Jdy&)(OOyWNALCT;gIXsn2(c=1d*^`Oj9Y39eiT42}p+ZA1}>VwKZ7m_)>3yFC> zOuRuZ?H9XO>AbB9GOo-OyUdz3tcZe~9OlFDLD3@?R%&IUu^#~fa+tDq&*5uflbzl( zLL5?$tP*PVSdh`#pT6`k7l3PTamQN9TsqNTkbS>9IS2HV?vYN;6{1xdJ_xLF>4Z>@}0z`IM7m-aI`A zJcGC*$n|K{Uu4dn_GoU!3%&&+4k-BUUA{+IE}R3d_I!siBC^#YkA^XWxvXY?fIFx&Zys0wBOEx1>Rh1mrcLU@{gn7=$Lj(x>3EY*DbVumF|)KI2rmf9f_mGV-ag zkQ54qdV@&pI_I;R=Cw!0A;d_{#e{kPM9o~H!LN-C5~LS67l{{@!`V6^CS4O$&Q%$d zEY>$>WfUZ1f74VtrRA!w_@=M>PP?7I-yU`S%~k-xtUq>)-J3NIO<^?``42BxqQgAu zzniFH)S^i}PX;MhJgcCXyQ*}oI%za{U*?@6h_YqSDQx1;tba)ena>*c>{95Us;{ah zntqi7)Aw;%C^>glj?7l=Si~ROoc>1{l{-LnxD+WWg#oy(rv)mx`e=X`^>7176vf(@ z`1GkUv4FTFK`t)c@^j=d323CNB??b`U^#zK6^r-+cl?(j@-s>t!SSV@mSMJ&7H9xw zg~ZnhzM1u3d@|Wvgt1XlYFNTS3l=c=PXv)gvC@+kdU~*GetCYHD(58xeuAUtf0isE zL2SUKLGnP@03!@t+t@%D7|^Mzme3Ibikkt~fpw`Lhr!k#&*1_HJ@88Z1QQ@bLGv*N z@N;3}XHS$a#6P^+;9L5Ib7a9y>gaK9Ys=$ayTuU9kFJc$1GaJNCz&x}!}f!$8uPVJ z9LpB>xVdC8%I%#g7lwGixJZ8`$zzQkc*ug>JPzL@SGr`n+^*bRSW-F{(0ATY<^0fW zKm88^$rZ8_aS~{Qz0VAlNP56TSLNQ`jpgTns-)~Bc(O@6BT9MCfo^=|L1Z#H713D# zOK!(emC7~;s_F3KS`dv|86ISAdZ~x3;Nz7e6J-8l{I+=CKGMvgV}q<)%EPHdf6TDo0XkqFX)E`cK2k~IPc zsxR%YzUHY)#st49MlyKsJ;Fh zG@FR3oO?wAH05wfrx9X$^%Qs$gLS6qy6X&R3<}2mY06jvtu3$sR{^6l1S03P!#wJW z6CU5wrk(-j(TP%PazjHy4CuRnn@ZZ|2zt$f*>zGVpqB;Ue=`t?1_4SyVRvG=DLeHA zalI3r(^bpDN&D3?@vQ)Jy374kGI)l<<%*iX)?kb-$Saz{{n`8mZr+mxS;#z0hk+*G zHOX+OUQV0P*4I4#TR!e|PNx^LEl(M$jETclldAq)O1VsB>vInCuZSC%n`owVQNBtz zldFCI3=Jva$T-5g!`Qxl;$lXqUkNPS5)0d1&+uLdY41&sg6`y#UoT88bOkYTmGnG+ zVzxS7r}tFM@m|(^p%Wsg+B%V0niKLuYw3;FF$r0&4YsSxWjrExrki5S`^0+}o_5cf zQ^dAu|JD@amBT8Aj`(FD6S3Ts~Tcspfi@N=#rk!9)9NYwf9B{oRCl=d) z($j02{X*S{v8HByjxr#k{X~P2^bCu+gIWjbJQ>6T03^_pAi1=t34nZ(yHEb$@pODv zf>)72k%_`a|E#2I(n@xWP%{t}=DlB1OvD2I4oQNQ+hU;av=WgR$Ntt~9tINwE%)NuFXP+irl5BP>imyG zIB>`qE`lt|C|qs46}dO2w$6fN`WqgrO_MvR`0$b@;SC3kyQYYW(F2;PV4AqxFRa7J zY#T|*1HpIntnx3dX20RT=GBZ@t$B0a&ong@^M=>G zJF56|O2+9f9dqy;Zh|BgOB%mwRVZoQAv9KL{ZbbRA*`&wB%0oIfQ{pww>1p`tdz;R?^ zW2g9~s)}wu5$JPm?+{e0RdmN1)|ynI__rMwjuDYhSmf-RrwQwvyl07%Y-vE9-A#w*#qX1bw+5apGM>RZDAOy zPO3D||9KQr2*_cLJDf%ZFRl0HnkYXX?JRei99U3@mgZG?lRD;SpQ40G7YUVqIU>(xBXn1}hKM~z``tMM8n9ick>`Nf8X z*tBGNz%36l50BAARpN5&@8kssC9>qr*U&-~scX@DPG~oMU|CgA^3yF4 z(~^#5aslDCLjsk?K)Y96v!+(tT-f8964BL2IRsX#K=sQprbai4Gr^}fO{w%(}a%2C; z?z+wdBj9*b@D^V`up-DZLI*Kp-nljL^{GiCDD=1H>nIr5W1?QPG2yp*p}ri+GuB3m zGfJ#v+R=O$y>^bHu5lV!Lq6-Q@TV&xlqKx#DaQ~Np5t*mw~@JW?TIe>Qmb(n|U zzO`!;eIbf%8)u*t5>6U1`PIXZ8YL(Yn2&CMXq=q8)l*l)Pmcd;(5?}E+iO2vzH}~~ zvf1sHx|zGPf8T`v(>U^o$Ng7rp*I}=efvE}6_Bz$qE^2>aTm61fuhmIQvKqoRKGWn zy>E)k(HEaIvHOD|M!jdpAkojuBgR1xKCAB|zH<9Y4QnqDs`Gx+^)cS7qW&z(j}Y1X zW79^(1e-oOI*fQcPJ%r9`QUSTcFR_#*`w#iG;?8f8irxKT<(vhbpT%RMK0ulyd`yL z=KQ*cF(jyzoT(9%3GrGgi+??LuV~*&fN9p57m{0KEX4-Zv}hJm%6>d zs`%+si3uyK(STt_WyW{K`PPQ4RP&ITz)~wZQGS=L%(gm$O1}ajRMdV`(75B2eWpl& zW0OBUBPEBy@7GG;7_EB*IP5a1j%)QC?(I4drs%QlaKA+9O^#oGTdP+&F+O-)%K;I# z>n=?Gnk>tub^< zAAEP3aLqL8K;0q@l0Qd9Lw@v0D<(B08sIA=-XK-G&8(i~c;3PBT{*~CE$46dIUr`e zjiM>Nw-2fY^xyfb{kon3i}+LL`{LVJ4Zpa)uZVDF%TDk@(pYY{aMFXN)?Pqmmy%_O zEI78(n}D2xGflO;f9{qQznzxFIH=hEq74lp== zUDYV5=iE7qiBcpa&iz~;#Pq2HgEAprZ~hcP?8PvMf8#Lyv;*c06N4`_n8yK76lY>v z(4~7vo*;U$SUmFqUHzzD=D3c@&t7&_Sj0_RwAuIUc+02nB<B1-MTZ zYBqnAo@sr*J4xBR7$8DTXQprbc!fh0(*nyH-)59(kd*vfQP^-eLs5DoMH`D>CTMln zcDmH!v^(WiOAIHpCU23t#Wz@p#D+g8c!?hXgw1m}a2QN`^ z5_5!zd-8LHELzxC9`>w&QRY}Xp3nTrBjmkOQUlHBad5h%K{*oYw=Co9=bMQ0Ssmt6 znBDl%wkoL#w?xmZo^0 z_dET4E(f-21@#n6uRE|*|51k|kd;^l_fAjL-j;kjH-BO`PnC0%sNx4&Su?kmO+lSm)9{?Pzbu|WSQ80L!MFqXTJUIr5 zF^yU;JP+FcgAyS|g4DM{MHNUEpOzX8+m*L#HQcCh+Zu+>Of%xA#6|qJ;!8HfmXv~j z-TM-LPMX$xR=$&;cBEIq(%AilzW+NSCd(@RClD*>iGqSuTwENzv$F%eY{<O16OPHFOp^*EQXE+AL5*Gv}=LqLYUD?o8 z$!Pqs7927bAPf2wmtzaxN=TvyVh%WE$AJe^2pewxaA}u}r3l)6j|07ke4REc-6^Oh zM^B8rMX+PD3XO4KWTlRtRpy<; zEc{pJdEn|i(AeiE@Ti61>SbWjZv&fkAIOH6N9VMQErS8?zCj|-jM(o2fabuwR>^vSk*OteRfMT9J^FX#gb;5m)A8_E~da)Rk9? z)YHLS@v~i&i2d@EvQbm}C)B<~Y6*Sc+D=U>y0ewGJjB{V2%9Al~E!^K#1iK90@Rg(>{^Esl{SPMr*kQEp z^XD-iFAsB1fQ=^zc&vb%qc(Rt?lS2h-+V1OCH*#yK!+5%Q=+j{QZyoYJWlVU zJag#JPUt1+K%3CN?CUQ{TQLAA%>OVG3GQH^33~8VY_I0G2JO3yKmv zTrCP89x?R?H_KrT1<}{5Und(4W@=;lxE!95`ln8S_%-D;U zc$~+I$VAg|ra?7W%ocUVgB|IQTkU}@-ZQD?VOnzJQMzqqq}h3SX3l-I2!Ui-gpCDi zayEE00ld)i>23U(RgL`MUr(oCwa*Nrfh`ERSYZK}x=>OQr1%#G79`j5BP4@rX8%s` z&|EoPQzbYSE@vMlWB*lBcB(|N-JDZ#dZ|UIFRpFa7Eih8@Yltt&th;`h3jneEVb zX3w|mg@Og$Rq1OcciFJKI;SP~GznE{@g(tvclxg>B;O7UzU%zfw!PhlrBZ(wesevf zgjY(&0?L*EY{~Pmg@ns+(#rq2{_$xwY!}Tc-u5c0(idy6u(ZKU&5t-MnKhQf<-~zQK2I z8TIfEDoPN|eXDUY1J=6f?H*UO#@yzXJd{k|`^*oVauKe1cP1tB8sd(ose;D8f}Y^C zt&zcLan!S&IbO`yvOlUY6{3`Sww+T|7!UhgIqj^Jz?0{wx;IXvFjE1WH_< z+y zn*p)ZMvK^N$A;hJGk-HVA&7p{$@0|J88#n%bLG?2>X=fI1VMq@Ts7T$aZsKVz8Ak+ z5u~?yX9uDA60Hn}2dLh(1?661*SC|utmAc zCzO$zM6?OR5**b*0>t80D=)6M+2=0rhI+@Q%WRCnLuN>rFVbU;nP9;~h?(~#AU9cc zEFmiZSO2juJ0z%8Y-{!|%*OdzYHY^6@EZJ^A z6%Zm0K%xW;L1KB@2~q%5+r>twiXp1Tud^UksPD%~u|2*eAgH&alN99uSmnenu%JRU z_Mij5JH{>0sfN>O8>fD}21gCPwE|$Z2!j5JCB>6x)7Q(UC+;GRfB>S$_D7RUL_anR z{J+IWNyy#gOHCJ`g83b<4c;NO*NWd0t@R6GV@fwX5z>BjF-({f^F7tlA|ZFePNAG>rFt|6*L}KJ#5E)VRS@>grE$Gz!)v~fm%w*Z2q5}`#X{O zX&mTYRlM%cWN-zjy;bND3(|~PP`5>2J=ftjbu9kadBCK0&f<$OIOZ{*m=l$oH~naN(R>$ob+y3O!n>0sT}BsOM1w0ZekqXn$Ff~6bZBm2 zv-t`$DZDDxMgH&>+~Sxqe~C(SAADNqJQ(wE2TROA@bgaqB^|30%8MvvE=>0&UUxV% zpGdf9&JSX#%+hN?l2!y3a(Kk1N3;mnczhEnd8ci)lnLdNt$!B~VkRKI3VT{h{4p;t zeJq&kOd?lp1D17umcVrG%{3*Ex(aG0qF}=ILfH_2F8naICQnFI(BvFOVG9a{*2%nHVG3lI?!a_iV`{>U6KcHpISLvJ}y+yeU)r8ux>1D`)>i)H2GUF9mpc;w`xnE6C zph{%HfLA@e|A+}pH`85LxzFZHxf}+RCYG&PT8H0j(^RMt?sAv{-iF_spD8n7VF)?Q z)-ARzvi8^|ivDUdmKzNJlk(qiAu3t@8B1}z<8lMYkYB6wRdW;>wXR%GKVo#E1&2-J zbDSl)IVq3M#AMO$3mFg(25!J}Gu;9DAtwTj`C0%pr_>IQE?R|a$>yfW;I0eS`eaeC z)|6+DqgtM}br@DRM#fM!-)nbZga4qX#A&C3V)Kk`VkkA!lnGOKUkN!DwSysiqROB| z2D}WOK#tvOy26P9)tM>`KmY1iHlEEea zL0xZ)wpr(w4F@~BY$^u43Vc7ND%(O1KRUUdqBIxUUEpP*;_dv{3{Rc8^w$#qW;Qv5 z5kDK+&A@>ME!z2_&HQ@2jiFZEP9A)MuG4 zhJ>^U+s#y~?gbjgY>+-;7b4 zveLlS3Nt^3nSO4$0l$4V5rusFky{nkt#AbZsy3cB7=U*e!y+>^(`WGYvrY}}O5Sh# z(O3Tnh`L|fy{4&DPjnk}Q1Sfa{glndjW8vfw~gKus0n?K97`NYS1cG(n!V*|P7Gz2 zG2qWLEze14CY*))_kp`wHKNK|bm_G@`I_^H_?R#>27rMC@br=%-fxk@X8CHcUH~^y zB7oh(s=<91jju1CtSVY){PL|nHc3e}x!b!ggW?*zCaYjVnZEZ;u-@h|JyUhG04gfR z!&mlLnNVMb1qsMWWovEsIC7!uIgXR<0l$I5tB1s`(jA(m^)k}8$A<;U-r>J1O;FJ2 zu#N|TXUy76iqK?NtNJo?4R4@VKQbVJIOG}bGD&v+oQIs$#NQ<5`;S_v=PS?Ye9k2V@$1MA9z7=!>VABJ{lp(_Oada{8B`lOy6_z22RZvi3CBm8(bTnBv~FT z$i?g@-8-VIi;t->7U5OzYWGD9LMhuEUl69O-N^e>Gw(`wrDJICN|chessz+u4rXW< zhj-IY6ffB1&qm*XdL@#qAT#DDO4ZYXlI}Zz!qe^i+U&4oXqN@~oLs9k{R~0&6!TvR7c9tZ3ca-qyv5bmZ)$=ypU)6OPP$h4DEROo2Y=X5GRjq0lU>Sl$#n;@*GyUxkl0WiRj|iaGNiF8!W3Xq~%l8 z?u;C`kErhK;#ZF~3vu7hT@pq$!?OBo%;{L{%wx*S1ITI1Xy4g#-123hiG1K!@H$tH z6EUN{Tcu4+05mj^1SD2elA>$<`h~}Vr_Rq!AOrJV z&FeZBKHn%%5eq?zD?}>GhUSiY#{H{YmD(YK;JipI5t83KLuPJ%zmfgVMhTae109yi z)6|Y8zSVb#{rDex#^QH1S5u=Jd#vOzqF?>{iY;O(;yH(P+HdhB&E7>$sj3LD$`xBo zRqcr{xpG9~gFV~w&8j%#*1`8bHQK*N1GZ=w4IR0~fGrpG0Vq2IGLuwc#y>IzGm~yz zEfzoH@jzn^|4Zr=72u7TAy(BTY&&m$(P=w~m!6HouUtkRL$H92vOhNl3If3B<5|>} zWm=Wsryv`$c>DMn!6Q$G{qM;eApmfo2i;H6vD6r{g47lYFMwMCt|R-jr)#Iu=rMYfw5ZUg)4VUDdKfCSp)ZXm4=$Srq77Yf}ljF#g zy`dBn9AB%EFH%GM{;MVE2A>5$)!g_0-6j~Y%wzKpPC4{EBt21Sr%nYTh}5@UNaczOH%r*W)KOe8m3mcwgFyP%PYpD;8}PYzu~Ruj7h+e@k&zF6;sS1)-9`z}_T!MaaLWP_DOK1_Dm9pf z^snkz4YVXdH4}rJB`u}^4C?eH^^FSyn@-DStRu<$JZg|R|7AqkkA##@tkF6qO^BDM zPM|eqKvDt1jT`ZBHb2|_iKGBRssE2RtjU+Yb$M07GBMYOR=6pJP~@81P4T+>;9{P6h$UyZK&0tOeUt%Nse za$72lc|1{gSm0J6y*hrfx&OEC-uZgH|5_X;#i6fDPbPOQxuenI+11Klyv)n1Le)U= z;HE^*kxauySNDv)BI`RP>o8oN{NMIf^j$RCVx(_dWN391?N0V}rH;ylpSI3zAt(}9 z*q9%F&C0WzWMMx|1+{Q<#5N-v{7#GUUjn}$_inaJ1v?D(Meh`2Oy_JMI*Kqq}fiMe)Q^SUfWmSVBM(=FHQ4b9-Z&_>aG0f!-s+`O1|AGM__|+qCMs zgK3(vmC&Nzw%#RDn2hiG8x9dV(UJrCLGWa6U(YT`o=QT+0!i3Pu*Ci|pO^!l{C#&d z@L*^NU;jP07-e(V6Z^2ce1*JXi4J((nNE}<2x-(X&iyia@`#0Pq#;m0yegwSd^T?% zu-9=#rusY@B3YwWR0J_&vhKvR2ZnaVUcBLj3fk}tM-x1Il(g-`s;ZtF1v7nELr??& zVH-=Y;*nZ{lS?qq_Fzu7d(@5^I zL1dg-ql-MwTxqm)|7jsPKx4~BQk3i-D=WVgcH5cOQKmt7rgS3#TR-Q}#Lvw}B=AOC zqko6$V|xQ7q8^&x0_qo_lMC+!zPNTF;2cWnx!dw5RS{tWZmW(eksK&VP_dq4ey0pF z8#AQ4^hTCSu;jZ%om2FxZt^&R^YtbFFbZ?D|KL!_j7o4TP%VGjE1pXDDF&2f<`Lyh zn`5^sqwzCKzO}A!q|b=Br(+g7(xgqB#Ni*bBY=E9#sJ*@ODMdUZ;$okL-5=XGeDOj z|F3l;63txT0=KkymHHvr@(gB5fUbI-nh~7L!uGZ{Ot^sPw*ax$wpgx!Rwi`w{tWK% z2?`t)+=zj;T)^yxM%$*9q?Cq978ld9i5(s;LA=|Sf%m2^rHlTB)N}uGI-WZti0Ri` zHZCovT;Ss$fLN#d^-~M{onN@>^0oD7k>&;TDc#$}W}bPEj1;w@Z*=V8a3N*b@9?Ua zW^2w5A$gj07x_kCy-@4bFG}Pv$`oFO{pN;hA&!8S^Fnn_Df1Ew^d_lIw`^J=&4^NB zAzt?Yv=|rHDk?V8Xk=F4I|QQt>1?Cu`2pX-;2=GgPBY#5I1A8qiJjn%*8RE#%TfV0 z-#G$u?^#&84zSXOKkh?yT^NCQptAToEG9;z?xkugD2+F$O3R2%|DMtvKl8*B$fLX7 z+appU&{EGs4gEx*kzqPlW(dJnG<^Hcq@{9C^%YTy_Q|`!;4l8pAU3v~t_%922QF_E zAYy8g2SAgKZY!z9FM)EsJ3nuOg}FX~dlm=!;&KLLi7dtp2fe^DqT1n#<3WxbXtVBT zwmFV?MNHW%6p2RX;<6Y(?w%Gf1Ogqkl~dBq*G&1c+<1bqb07qNU;0`v0{J){rpzB& zAIkC7PZQEch)4qo_+O8wR)i_Br05V41QJ06j$5{pos*i0Oso`?d)ZZEpX+s6y&Ix@JJ+LIRA<}Bh_#5dk(*IYG?j*niM=Yzy(tFw6Qkj-i<2PTIwFBAB3nK`Yc}H0Db#T^47lL zZ4PL6623k_eW5?E17Xs%hG!OrB8=8U;LCq`G?@t;MVb7tj>)l=ws|H-q162WU=Sl) z@Ke(06yqeR+1;WLW-_fbiBJoiJEn%uV8=g2MwPd(I4uW7`cH;l^K;^ZPJxEsRI>&^ z$9tl%f*ynd!>}(qNMP8m&nBIAY+?Dm?%S|+U3aAeqMq$gwV{+2Git^~CkvE}Hwh5+ zQL@ZzUG+wNYaV@ggX5Mub%>px)A0Du7&166r8l8orDb2_tDfHb!{0U!KBePoJPVh7@h}I;J<7Vp)izNQia6h9N39p)<9% zPSw)_dbYPR&Dw&c z(C%eHZ)_?8-714ji;cF)t`kJxtq|rw<;h&GDMC8k2bZH_}>rTblv-V`bbY4$1W>-Kp+FC+jd`^?Bc zg|D95qiYLCqH-Aaq>@FzY)t`1+h$KiNcu~(p5jKC2NwD+}@Y+@fv$Ec8o%!Rp zm!fv)s%|)nw7XNBYT+n31t6iE(|=$@txS0rA3RuF}kIh5_72>j~~Rop)8oIu#zBTPAA6s_S< zj`S@+AZFZ^etiO+3|k4j;`&KddPGvN6PH~3#bUgC!@P0`-o_xy6&RbAw@vx85&{zU z7(}mx;)tHlr#$T6hCj8Kr1e;l3fq;cUGEYmquvWeqzD2A84h_xrk_Xv=YR^VfxYl5 zCq_DKMEbc(Y0-jPKOfkSgUU!OJO7&=k3I9w9$Z8=y-omsX8us$YY1i)7V}*Dfykfs z$DruU)=A|+zX51(;XMF~P^&b}&F-poOn&nxn0*RmZfOV!EJ}`G}g8AxDQO+iu->p^pE*-9`Ri+Q?XEqx;?O<#aI-+aK`WfU}CT$Jg5qi zqJ%)Q3VRtn{O?nzjjl`T`{Si4S&1TMLRaYE%48`F_jXF!G}@o8vmi;iJhfyCp(Lq( z%+FW)Z-H2wjR1v>?pM2y(`)((3aY$f5uXiN*_cIq(89@Y@;MyQ1B-&_L9|R*vMh;c z9U)g7Mf6U}10$0`NjM*{K9Uu7XsUk|qaSD_vI6zMqy`$KRF;81*kS;Om`zV53DEjl zpQm5{QJDmaGSK)_T3e#<-n<^|dUZ1dyyG|e|00_9TWxc+Xy?=l5f&NeYP!gWDZ<)Z>l8onnc4Cep?2NRnm39I1-}a24l~+HX3= z){}YQyfmV6`;u~8q~z4J@dGjRm(5_>actP+*rbD0I%6l3 zO8myo9DU$#V>~)2&R4o3sD1W|(+ePRA>41;V1;C^VVZ1tn-=Q? zPK9R^otRvU@gg#bx9bMaP-O11<4>mU0zq_i_HyjK^cU!-dU{jHQ~>rKrP8T18#WR} zn+14|6mV~c_~&lnr!14fZ_BAp7&zgn>r~EpclqD&2s8VyxrtS;(-zAJF}%cW_z$0D z6q=sT(G>{<#E)i@tqUYm9y6)q%N`-rwT&mGyRVN1i7VM z0TMQlF@nWVcKq2T(hRW7Kf6zVa)Lkv6#fZgQXkUlpZ(|qtLW1cp|Rn{^d!Orn=~8D zB?ofs!C)@QTPgg{x5~IbexDidox%Q<^15LY$V2=QpcRLR7vhPk?8$s<=C6MC^y%}r>zK1aN2DU-HRgGeMxkapZLnqKm4jeN=>(PPc(jd zTPHSVo{c1QrgZk+Z#t^Dqa&*L7ZwL6@WjhQEc!$~2Z1!(v;4#F=6fn|; z1O3|)MQR8xP5_Ha=MI!u`6>l%ZN_ck_&b7^0>tTGzUBX6{B>O1O{)CP%=&5hTc-#A zHaAwnuHK0C*h`)crs-f%7k9sz)idt{f&J_KWg*F+{Y^Y4 zh)ZbE5=81AaboXTm)f%I)L3SCsiZ=@n#CzHIe3&GbeD;x#3B6bv6c)-nP1a7Z7_GK z2Tl`o2+j`(&L7TfWuJhU=tDk2ijt8)BOrXxL8CExe9+YS3!PoKw)F>>g`-_E|4apX&3%p{ocCeQx8RKge0mMx3%7?6Fp z*qBFR@Q;#Y?JS(w-zp#`#byw zj7RM&cdr+{Ul1`}a^6{cXL7=v-(Yy>F5TWaY24?82lh*o*=uW@>>U?DWbpc+Q4nyz zW}S=$%{p#IdJVVcxiVOIq44gOKdD`N0}22hzBj5?bXto0x)o1bWA`iEWVN{8fRLlm zV0&3D<<{osMoei^N#b~<2U(7z{EIFPo)!IBRLX(=(s&u!{>Z=l)W`OwEj-8fvAnAC z>RLJrR8_k>`Ud<{704U47z_S9nB;seWR4bIJp}^MeQQq??qJX24tCR_>^4H0>In-b zWCpIv^QL7mHRwt0H_>tsdn0QJmNKfd_qVFQ?_=wXa3ZZpWoKXX(to zRgQwPp#an~SZF_=^$HxCD@4dsh{{Ohq4-%1;y+cY? z*?S~uSV<(ZGRxk3g=|u(WQ9n`%KjLiWRsP>`3TvPz3%5*zu!6cxvq0x*Zs#if8C$! zJ2T$v^?p6qW7M5vtTT<8#<^OF+rEHlHNBrs&Q_G&ZhmTBPaD&-q7Joq4Eo@0S0%fo zc({l-uh?rn^Q{ExbfY3MiY-N;Tnmc)W+V-v{QWWook~$L=7|*`(#ePlGZ->^o@lPru8l;@^>R z9IvLO&DIVsXB<*72lWMFBl;#eu8JI`*&XxxnT=|D#Rrl3K^L6FlcPRn-38hYk(ktkMmQIgLe*B4f1^9C5lPH1|nID9CAO{9SbTs zU5p-TU<4tF;5IUILeDTem4-eB+s?rmdx!PIvrU?}78qOG1uwwi%}@7#yQ*MmHXBPZ zWAGTqs+r4GcZB&uG&+$q_rpY>$*eFCm)lCoPltD69G!8jR5aWySP>*_#`Ar2`JnQ$SeRa@7v$>l8(t6C~DQ|EV%7D$#9IB*!H5W%26U z!r;4(&^;C&fJ@*6Qvrk0t1PhrT6gB&xsUb%H|@R!-e}&^mSQ2Brl`r8@7G>HM}XNx zs^Byn6Fzg$s%gFeeS9d*w6yqIFhuW0131IU1tV;)B`Azq9n3}osf3@yet7A;Tj9gJ zbJs_|aQVU@|1Q?)x>kTp;Ov}HSgZgD5y9M7+3S%0<$(^px(U6WxYNe`(*qXXC&UcL z=9@Hi3emMqbZpM%r{QjkMt1~Lj)f&bbb}Wa4_Y;*FZ(4un00{lc8{KqL?1dl5Zrmf zZTmyYt>!ZO>pMQ|u~&){Q7dOsC_m*0D^e2w+Hl>evzmH@2Zv88TXP!v)|jV-AMkQM zEA2Cw#gOZ=Oy|*#x6-rqvWB#oKQRgFlikj;<&9t1Txq<^8&-V8Ad_rBEcNFOXEGT= zzEiO%aC>o*vd%CeLHDBwmtaBrD(2kS4VJf$BX?VjTu*CTUO;oI&^W9!gnhbL?Js=Y zHK?mYb9Y;d$`VV`RqpdsN%8kS-{1F}-{+l}tY{ioG)f!ifNTO5> zP^}r+Pu0}kySBH@3jg*i%>>A~tgM#Hw3;GBrn`PTl5kRz1+HX~M!?b%|fBjh>b)ClLX6RYouee{n(EWpRJqrCK2qc_F@nl{K zXv|ct<`X_-f@hSD$)3<>2rEQ&0WlCM(>4=Lqqe%*OEF*so;oE8>UfPy+ zAzPZT;odxKu=@h^>+dwFKIr<5Ws|wD*A67{F6%V?yt{l|SU_-!(B4glkuN{z4_#88 z+KdajOPdvw{EedO;2J9`nhfSRu}(0UZoW|B8?&zFT?TDYZ5Y`2bAK%(*Cn4$-rxN~ z=os^^3IKmBwOo?%-&#pt#JUq@KONu6qz+b3{d#+%vfs`&6dkww0M(Tn;~sZzIvH3} z?E*Pvz@`fcp?sTH+eSex5f_0^kS7CGYZL8Z0e&#sH5H~RZiJj16 zwCuyLo;Rg~XQ~XHKd#S|Tq#+R;Kx=!1`RQd_OI-Iyh$3Wj8gcymut?Xp-mqg7ks`U zu2JyLT*LJR9UCtv9?$Ea5*M6C-K3*D2L|LR#!Qrs;z*jLwAtugr!5q60-Ff%V*^Xv zZh3J$XGSKqGgQ1rT3K2-+Ed`WcjGFZqLmd70x7m0E`HJzg9gXyLd$OUQ@A+JuC53i z_d4&JWtuymej>IIOQWfM4>==eH4&G4+Wmnu9=rr$3K)V&R#o%V%}@;6i*fuQ8a|F^#$~O3@InO z)N>;S6|v8p`v-$9JsNnHc}}vR&SCl8m$TNaF&h5Kle;iTPD=FS44n(YAn;OlMo-@2W6{w z?pu@ge+ZtFV%0z~aHaV#g8Ymp$9LOjxY}9IBnzM%$96{j+aQGoj}utqWY6*Lf`AOXYbk5#N2f7-5??Ed*xKJ!u;RETHWzk#55<)0ID++O@3z{L)7dOPp0j0RXkDH zg)%iZ$y~z$5xT4V?y$7P+DO4n0*&4rq{(v)m^=VC2D%bZ9WEZ9AA12vZ*`oU&#x&I z&OCI^;5I!aE~TJzhF%Ba4Ur!&Z1xl_^`yCh^<7=$s1N^7L5;}&Sx_V0b_2v+jW=e0 zp!|U$OAC@3=VU>*N?Cd@Fr-|3h*hu*FUPR9!0L4sTRU{3W$N`;Ze;Ep01B?9+@6M+ zX%-+@n$l)#-8JH+0z-!rTyLCK!)2z)@aHsV_&9h%^Z%uypWMIcvUMlln1MyA7Q5eKZ zK>Xv1?|MYK5@GFnl-+qMBIEVx1`vR}1#bx$nXH5Amgi_EV@wl8j0Lf1>fPoI zqa^?0_IDhu-zQ_SyS_skBWB@ZMExSb%oxgX zQ0w$&p#{Cnf60c%V1NrbLJa@k7LB;c;&F;hcIQ0eREKCv>@-~Q4OsO%-bemJU}a7p zq>L687o(0PrKD8Rc5#i+yac)~om@P>2R=F;fO|{b87L9i7J!a~JW+(Y^I|%Cb_yfZ zqSraj{G_?40~(?);Bh^qnpLvgv``?A#Uh-Rf+3NU1WMDGvQZfegziFMFomJdN5HkB)1JBEd z+8YWp6~Y>ADIDJEceJrHD^`2vZCfyqCs-zS8pYNSOMpfjkT4HGHbi)_I`=*7fF$n? z1T>K&CZga>YlL7Pefzb43xhXWvvN?b&5N?Yk0`9#-7Vb~o>qbg*&tqDAEr zGB+efO@CgmoeOS0?a)@sMXC!8D^c=Fst>JJ<82ltoh12sJbwUj{q6_r*NgIoN}xH1 zA6E(*9%lEZ9y%N1SJ`SxZC=z|AT$=mYsoY$=p}bc01X+^To}Fs-Esw2QuMpp0;cCCAwkHiyIPz61E)ETx#z_;U9M;H zyzOlGBqz-%OExhFGY|H;f@3i`?iSEwAV!IUL50%cA-I8tAR11n0;jnSjj{WPh8%R+ z!4Dxw#%t?CMn(gd&KUrk9tR+c-EgnxZP(aXRJ@SIG_m0hu5HCHn%~>MjRdOmi1fVD z2U){Sk}u=)S~U{jV31+P$<#gZ7QNn&JH}=>%1RWRtn@f53O<;?@mr&>kv8HDaa&dL z%Aq*}t-d9brnF~w3R)we9|x(B{`JD5l(L}%9;>pwxXNJruIbnxg^E)uS|tNf3I=ZM zd*ubta@F)y8Xq({7a#hChE}+(VVW93fkf0{?XJdcqBEWb)t;MKa$eFbqn?Xj%3+6T zI(%nzH59#C!w9>-Tl`INmy-V7!Vm~I#lJHO=pZ`r353@hFG}oQ5lXv7 z`4XvIgasSx7_xm(X><&i^LAdSizh#G4||akU}n3m2f6}+Uzn@n@Z;z=wcKl^9^b)f zD+PS<)tcI7^6e!W1uJ6PX9LR$1+9VhyukreijbDg0VNaS_mrQ#xPuXn@~QF%w~mmr zkJVgX7GZxC7D4q@lp>s>?l+D8fhiayzYQ?ENuYhpk)S_iU1ei8W{v78E@}HMKb(+ZgKF{6X8m z1K=bwegpFhK==}0)27jQ>cbMM8qZfb5)i!%E2ty-o_&~s^ z?2@j&ihwA^`>ueJLY}jz%%F8zpgv;e`h9b0-v^2$-eTlPD0MaZZHVqVNrHiuyGX znp~iqyZ!sDpi59!9sAv+7PghgUTM_9osWc67!d64T1VbB6b8zlR+-#1uJD&6jxki) z@(@o`M$DwQm%Fl9-Hz90@B!r(=zfRMfpl+~r}CGeB-e)NpxO1&cm#^4c%Ss&qbaB# zyj8ITm>Ce#qteLbRx}M9{jrMK`!40x4a#y#`qUi~RX_fAl9^ud4{2v&D>kaS6G^T# z{rTA&WtGO(It%`EJRaeD{c|3+*TwErix;Jjzxlb$P84Xb%{1|q z2H?s^P1L063FuyLf$Cm0EM4peQoVFdSpq-OR(rEK-NA=Un2GhF?mm5}a1a;<4kfFpk zx_+CnYF>W7$&`D98#sES=>;@R>n*pImH7wWS`bZA_Ow6Z zSTVV@z*{*-{9eMbqWr~oM6M<(vVVzc)!AIB2JsMc0d`Yk+80|c0L!C*3F6U~FDpnp zXe>KnUt-PU_bQyi$mhK|ZZ#AM`tib1mU|@K+UYo$imo2Wy`^JY0`!x5+}2=Bqo(`s zLjx2hKBVL7@?bcdD8&}-U;tsj6#8jg+y?TmiKoh9iaQfx;-PkS69{AC z75dYZ%jDOd!F5NCRQpNroJGGI9;!n}aI94N^W&R@AejIj%VmR__LSjg9AfHAn##UP z7W}cJpw=_};!T1yEhTlJYk47{T!(`8N=ECf;X~Tfe1Zi4Vdz}0FRX#XQ`G&~|BmwK zkYu=uu4qJ#PB%r=bnli$EAjQRoc$k>)5fj`-FwqPgMS~kUaUhnv|__R-J_CID8KC& zInpO^k?K_dC`3qR;VDO=V)W}?jLA2jbd)tJPOhCQ@ecEia{$IT%Xk7X3};tFGLjo? zZGuEP)4sxbR}JFytcl`=g3Vkgn%kZ1T-Nyj4kL2^;9{MK)ak3R(yo`#Hg!A^-tQv1 zNOVmmw#Cp323R!d{?xBMAH8ZJxt5aa52Ylt76vAaO0<)n%kE;w9j^|Fobobr=2lrdJ)bEcnO9H1SDBkta zOKq5^B)Z!dPr>u={uU0a@(fJIe}OK><{}N?HVcBgqR-n3IlViTvwCxjy}U{_sNcdU zejvbXfJOoJ&e(K-`T^#i7Imj}fgecx&8p;l1L>k$X7@p$ay6)onxhEBHlmiK(C%aW zSO?*&E!c@LwiUqoC$~l}7>K|K*!yIFJZ}V3^4L>K$;$D;goO3ZZYXTbB(&6(9_*A!^!I02c ztAmc^#n^N6UxdabomFRfr6dbX;qJP~MKUE#fpT7o*9B3th5EA*79i`sek@fTw2&CKL88y`g%83}16GW^X> zb*Tf?1Ag@}9eoVI^4Xt{&Rr2g(BUBTgWQR}i!--?W#zDLVg}_6C->aoSGH+{qRt-f z0m%6YvhIL;FfEv8(4<;a$|bsNB=cw17DefX|I3^e-)26K0zY@fp6Ro5=48xBKP5hj zNv5r4ZR=4}`xAtqdf0txd`RT#%5o_kv(6SU)1o|a+0Iy54T`M4wjXM4G0{`oU+%a5MyW#2R?ODK#l=}aHoUK4XD!HcC_BUQRhjk4 zOPeC{?bO%{<0CSJ@{DDSFslg; z1?uKRo#(2fva<(gUO+4V6&+iowgL2TLF^C@bzmN)or{cwy3lMVD$R=bWg+%mAarkI zWuwAb;k#CwLAyb+cf(X&oK!2xJ?YSW=|uS*^2YcxjhW%bn}?Rd#zFSCtksII`l&c8 zN6~&b2HoaRyO#ZZ4y6nK{NMwpXjO`wgF z+J_yoyAC8x1TXd>DsWT1=ZpZ0MreU^(A{HQ0K&iN-hIR4C6`-q*Ou_zRfT!XL1Arm z%Gh(-=ueG&q+!oenX!R&XE_M0K2F9Inhe#Msu>L8zQwg(A~M;=tbs^2@M(n~d|!1? za%kY1RC^PU;kGAX6STG#?U`6wPEAi;J{Paor+mW0P zlalTMv%C7*NMq?2G2NcIf^@vLRR=&}D$TYNIhOI%`+R`*povpj1~!3mE~fgmCI+`? zYRY7&0<F7iKQScKRDvG z)=$dk7rBcdI2C7ME^zA^18~E$aSKhSjJqo8bza7SDviLs;*xq?ZPAdHN@5kzcSwt( z$Ik_-?#zJB15A%pL2EOn$jMu1!ec^A_!+=s%c+cZpP8eE*47G_=2;l6lwtuB_ZMRe z{CmmJ#A#=r$h9G937v!}l-nFt0Z|90htbs=gF#6rZM7!yPBv|Y0UiV{(8ka&nF zIluy&nMryr*7-R}{>+XQdo(m$DmsRjkZzN#?+&{e92_gx1HVYvM{tbf@g%@ZFw zf8%p*1`&NdOp+zBF+hg1Er=xxp;oT(uIvxy6eQO>Q4~`&g|1`h1^bHEOQN;s0!Pu2 zxNkOTu4QIg(y{7``3WhM}(|%(wnX&h^s8<(9&eKYO>Vy(iL8ITnTn*b~ z@mXHup{0w7S8IoMKzQL~r$XQ#7y1C$^_jUdVbm3c656?~c5#UwYHEQ@7+;DUNyz+|tX|`g;(RED z!r`v=JWbtFR{n-#G*q8YB1-sk=R}vpj(h>`4ezu;*)xfsiG=~=CE)9P zKZl!iWEJMcY9Zm;KVS1E+dM*|p$J<}eWQhO=E&FW6sXo7u+Yj1qbY!%0%a^nWJcDh z=dm#s{cLOnGP@~Gp#F#gvCC}gPaKr`fe-7}Z!qC;d%|pweE*_rM?TJDVhg1ovNVl? zxTDO&KAhgB2106vqd?L71`533&H$&{eeIh>ZN)ie)9mVD{C@kY9bD}db0LRoHW^!u zC?FJp9fsFt#JEBj>3QI1R(9pyqa~-;`2{8tHwnL>?`~D<6E0N9QvO1z*3UD2mG*1T z@jG0qpdBHINf-&@&S&(EVf>nqgJXKV-YKjpx-b1xMKLeW`B*^Azr5;jzD%pjSMwC!t7Z*V+IuXK|KPMjhx z1U8e~Q0X<$YA%gi&$?cIH}+_l&e)dVMPF+F5IeM)Ry+k7rWIarjlZr8>&iR-*Bcsi zn8TpmpOLkCgP>VVde*Tl-OHLcr78GHiLOBQi}Twn1wKhHgF!#9>>%a)2QJL&_)tWd zE9uOsa;Y4Dd{ewm^oH|1js&v~^*4j@=-z1qB zvFCGJ1CqM0;kA+s%xP7FT<2oKoKo&stSxAN@pqYiW{smfV^p1TsoAIbIZ60#F$91W zXpE!8tI}C$eY5aTYs+$ZO__&msE%QIuFxtjje1sP0Mq&);u;XNn@(N@S)ZVSAlx^U zq6t5K66@$ifLWpixf@WEVdwM;zx)evX)c{Rh*&9u=m>cs8XZCo3Z8eD8&ZW9BS&D1 zNF(NY3s4Q*p~v^xuB{A_yIDk&6Ak!TQvg1<3T;JhwQY%?dp!}lhGL*nxkYzITb=+} z=M?b~|9u8-cwrr6QfSFLfOQ#C-R$d+=?E>95CQ@zO9N#BA;BFkBQrtnItMQ$)*I_< znG;_cMj4aq@waQv%C{LgqKou{LW*I+JEg()J3ewD6p**De**=|J#ny*ub2+RNgp}s zx(X$CV(XSNpF(h#13X0H@o31uxGZdjr17`mxd6qS0Hya}Gy>{|aXcxri|mpi@2#6x zAoEoLmq`yCTF3bCd1Nrb!^J| zttxo1G>W@|!1QB>I*7b!%2}<8MJ`T{Q}ZMpNX>uW$l2v9SrfO!OFged=)}rc!F~Az zY#rL(Fo6oY0P+OgAczM81ZlLf9BT3)efUyEiL{emF>XIdJJxGH*^vphp;{UszCr?6 z+^8SM+#&i{Yxd&W*QC7N-|qi%p*}biYy(!h{g(01Sd|CtFizV7RqM`iVt$wg9ogN%Wff>MyuCW z#r5T%QB1CMkp%4~R%TJJj(gJJiqf8G`YG4~xg_TC$(GsOi>=zlNefgg@dZ^#S_34% zkEyC4MyNbAGLU%+y3r|{$ySzJ8bywopuhjhUcY4Obqjo^ovo(sR}a15(UL{5_%o>?I)lGCavYY zrNfU7zeZ`pR<*vqZC_U_7Xu>AvxhnYTb6Fmdre8>lYuC%*xh}mL983UmsS;wjGC(T zUG*$~IU7kNiEmHo5Eae@bWQ;f?=XfEs!{eLq&j#RO1}LVh|Jr4O>aBw>w~K_FbkK{ z{5h2fZJIGK1CHuWdt7#D_Rbt|O6`cJ0+@9GsndJxc7C;qRLcm!`)x!+RPR$_==@YI zde7XHh@z+?TEsXOfok0W%kqO)-V!?h5IgTHPvTT%^VwYRsq*u-xPqEwPXJ>r4?a$3 zqanKKJg)Fq#?sF`(k)+_-X^4)xm?tAC7znE3(L-K+?iYnI4}ufOK?PobBa=s0`Vt3 zCS2n4&a4YMQms6!k+6Y~O{$@EB<5H@6EO0K+$@|?QDq|OFqj~{Dz z26zeL`OB#A z1^ckz%ms5vt&U+N5+FlCrzs8&B<(9QIiyT+*CgUO1|3BrmPQ#%Py#^L+v8O<8bkc1j20+RRc^m>=>w>SqbH} z;8(NX7PZ#~_^REFHOWwOOkS>(QvnZ6{rk^cs0H>6CyTnU;aX3BZJzY^j5kE7zK6>-zlhBM8|2YrOll7=no5ig5F-p}6yZb>37bR}1_UbQ|yI(ps zPz!TW!2~Z=b@zdP|2K|s{|r~-p|O_NV~X$i?kzJijk%Pdk1_nYYy>ucczQwa@1R!s z?Nsa)rWiYKZ-I`E%jQG3sd^gQFpvGw(tJt;{qs%}pWMFhj`E+fURXog&g}cp9J_E^ zeid`a;{FB4y7G;o?)+fK&Zl{Ad>=KOyS5Sx)A5@nxZ(PsZ{|vA{6s?Mx~Q8V#8BuT zdNt7${5e%IqVLYrgpd&%Ud=IfGNQxI<~ji1%3o?DUu8g24F~Zz>yoq36`^XNmk2;! z2UBJw!T#Lwo189MU0SIeT!G#v>S2b58RP$!2EzCjw{=31uBhVGXMs+_sd2V1M$;}< zv@0e~h|7}KU-p4WPgndntD>{HhkGaQ+@(_Tt;iP4p8P6q(!@QhT>&Im#~vbgw;t>I zZLT}{F(rOQ)5|B$ziGd#@fz`2_VLq9tVYu@o^JZdS|SI%@F7K=S;AC(eBgMBi#r+- z^v5!jp#1es0J-z`28FUYSRqOLak&5FVjBiD1Ee1Z6N25@JL5C^_{kT z@fAGf{mNBWw3vE&8kBcq;2 z*uaqtd99mnn6O;T?iUePW(MS%hd@7oJuKTt_l1}9Gu$_HtV`C8=6Mlq8Ai7gw8?eL z+@@7N2V~K)6^jKvF;FIfgg4fG!Cyh0ZK>lWV0N#2;^c^(yD9jkZuuS2HKn(Xz{F z)}?_>HKcq6{(botMk0fw0l#3Yj2OKqN@0F|R3?+0$3+;9+Ae*L!j&x( zFyL%d51|CB@#AB5ngSIegBM<0Zxnbx16xpyP4GdE0Ucn0nOINWP2?qMbv25D&Z_1W zX>pIByQc!l&R#0C<9f3#nw>3~4RZ*`aAr2BB~#!1px5!lvA=ue<1%v(k&X~!@#EWG z>2w^uN4^_Jg!i?0%7q7tIGTBXJ{!iCi%D1d_kD3Q?9=if?@Ga%=7DTUR?JgJJcP4` zkoPZWlo*0^#-)0FEvZ3=E}o^K4zKL1lo^#Csr-| z(a!KL>0Mz7Ckfinedl-bDrx;Y2e)bRZE(jdG(F9aZ#fWgPEF+D3-q8o-5Q7jl+^N= zc_y)f5GL#itBbU?!Q|LL=qovQJ>-LtQ^u8#Os&5?6NWy>C`mSf#9=SGokrCHr%eSL zMQ*;4uY-AMW{qQIb>$|)o(|2FL~eHWRs^p05$XAEACa$YsQi&3^`=p#T<_C=F%Fj^ z$#B7!h!d_}sra#p4~F=L#z&?R(?|Rb5VGjhK-u6gMIF4gTieq|0>`b7urvjK3rn?6 zmn;9wrX}!F5V-J@-b8QlKpPH(9FW_>P=HcPoCD7a2G!BBGRLjopc|us(Unu<0=EoD z1%GtGM<{ck)AcLXQ6>0kR}<}a$m2#rJs<{yGghH8c*+ggeBs`$ z7L`|M>XHt>-^$cFRb^XTxEKWovus7eKf4L>lsHFF+zUTWrhaWQd9*ug5BiJa=FKF^ zNq*iQrvg!`z5p{jfAo2xfHZON?24*gY^F!1XrL4uq>MvTAk}dH=U?{LL2|dkAxE~G zq8Supc7TWw86iMf?mpmuE2AHKvb`g4+Y8yQjARe82$x=ToLw8P}`v+OL?| zsA5up|020ZYSxq>EE_`{<@rrpx^Yh6gm7kg2T8HmVN4)+8^_93)6BZR^>hX6yTCX; zBMFNj`}N54Abkv&C&aQ9-zUg(P#k|N^Wk?OgHCOfUv<+pleXj0vbxJi>wV*j(T};)3J^lmE+e*PWB7B zYigubN63a^64hknc$8v6nM&wj=iEhT3^{_IgbfaAa(3d&cm8T4@z}fVY#c#2%hJAG z>A??Te(0UkM{IS8bk5p~8J2XK%nXJx2@1%TTY8eSgj_Mma%R6^XgxLa@0g#XYJDhg zU*Pw>`4alcAU4$K`t>0-IpA$VRDm4|T4%yQ2sD&*!HG`#84B2t{DV#@Xm(SM%R)(G zhokIVlp!=cKir-Oq??35>gXp8-3`1(w*_1&fiutd1iSl2)tR2?1h7V-YJ&_;E+`Rh zxEL)j42Z_}5mc4B?Ni;cW*_ZgzGkhWp%zq*Oq5aJUF4?kOa-<$U{8cmH`p<%8wpV= zUX2@@cvU#U)Non>NY-bV*j`_^W~YME8<(cD4AfT0QB?R$L&&Cw_#LvpY@Wxoz6vNw zS7#*2dA)v3p3%fAcZ)qqqtN4c{)cbi9-;B8?;r-kcj5Th_wi-afKkY6P^A-FS(9qlvP{dCIyGPJkjiGBV-}$Vm%4nJKm3C62YP3&bC810 zw-d_A+sINpOeRowZswe8)$L0F_%ZV3IgvE`&t?Pi z^=;tIc^BmCNE{8{Y9bY2AjIDmV~(H-!~$8GA0PZk23ezjRYz$mj5e8vsR}DJAMkiM zf~=UUnV3SqRPkM}t1ZlI|JDR(_eb1HV*nB%XpzM-FthLz>3jt@wG5Z!+z~0$1AXAc z2!3%9mf)+Gd7vLRFmF06bM@u6s2U9a_&$hedy&zlv@%~dJ&Kd&lc0xHSf;%~$aaFo zLS%{9!yF?>P0$6dTUzD>{XJW-flFtMeG16Z{tJ}|Q;O!#?hi?;;4JNNJO*u{3gaD< zjeOLH*2Ttl&o6XM(if5Qe&=WQ1tBNEhl>EY>$}qY?qj;5-S&d$Fhu-|^g{;`kI|0= z?Z8-p)^3Os!~GV|6%a4ysDPEd>A#zpiLHRUmjN`grW z!a$cB2G;@*kig#i<2oQ750-MSYLv;k1Hl8Oo7i^}suDOWad$C2M9QM`~ zkQJWxISh)Smwh`W3b$4Wr$~Lg3(^HpZuqt_Qnt2~sL811L)2Xgfa{=7UINZP`OuYe zAKj{zhJKL^wf2nkJC&b81rTb%p90o4^;^9MEtvya#w`C<7a{VlUJ^`A3tJ+b;+Mfx z_cRh9apkKIVzKBegO`(vEBck5Bgg~Be+4y~mD7r$E*ZZ*GOIxQV@GC)H7>&9)KoSm zO$bQ_G%~P+Y_X<~DWT8UZ|mc&8u?Z0J*SNe;hqebIS&?G2?{`}d+4$Q3fok0A?tDd z{ul)c^Gw^q+52Fmi3VE{H74$J8(J}fW0=y^2veJu74)iU!fPz-|I$qn z$aE}V*extS|DZAdN4{b&LRRHVtwoNY@9RJ`Z@psVBYvs5`brvY0XLv>P{WLW2rB$O z#E?sZ%s}EbYxet8eE(Wtp}9zV(zFleuAg0uGJ5F2r~}0<2Ad+Oot^AS%NB|zZ0 zuLLq>GOHj-7hs9&1G(t~ppoxPw(oJ%T(+cIcb7;@|2B@t25Sv`%-!RZ zE<7wTI7wQ@y?s4j(81+ zy~nnJCrM}#0?B!)<#i(z{U(4DcXWhD{P+%(s6Vsh9w>xLz3>a_dcsK9B7rL_#(&ss z4I;qE>0918SvG(cbP>L9dla{pIz+NIuWt$tH8|BebIy=5gKwxHJvD00R}2wyM?MnN z$f4*@Y&q_>=}Xc{7G(Rd@Y>`Pe84Z~xnmZo*pZbF{^kIEg^mSE;=heOKu<9t8AlsU z0f<>MpTg&b8ahu@Y49$fLQsT-kq8U5ePB;M4I9G5a)$ zk)io!L=I4F@#BMy!Y4m7Z_BN$pjR8yZbXn1p6UYsAH?9kP^W!oTf%8pUgI_1kzR#k zMmyT6D|`J3pa?W4lCNoCvH_or5?3WF%`5IkZzTf9dq1r?OCEd_(!{R+yH4g@x@m)N z2Hxv8avxQk1D8?Wd!MOntJakgUHTs)?v_uV{&9;%Je~lUl@{>Y($ z8k+TPV=lC?Q;3brOD2iRnlBHRh;OtDt;Zbi#Jm~J4~&|}Fx>tK>eho&?rTBico=Y* z#I{(;g;)IK&T;w-{-XnBPnaE8-fFj{Oz7$fn7ly3AOylQ#5&YV|2w#J%Q0(v1(n~#K5-5)fmGD}5m6=qS+ZKnb&LKX zAHo}pmd&RtKK1Cn*vCEbZA2bE=t7aPgJB)YKQlAa!Op4f%q62A??v1XHwSP~dS$i^ zU|1an=8TtCmnp+eAud>tT>7-Iu9@{%haiPijbn{B-2rhbCNar=BIz|mEMh6XuID%s z(F96GI4jhmr*EHJqOev0-s1V#7Spx3d~f`=w^y2aGL)OD$2i|UdNw|8kO)?B;HUTb zK9S+UG_3$d zHzNThC2#*V*MMf%2w;2+V#IbS*&Ww!x6QDtyBqu*?7)!rk>~G>^1X!|92EG1iKlgQ z$sX@^ViP6~E(YENfqkYNLpD-mxcFB>N0eM!5XMsUE?SK#b1FIJ{Ph2R z`E}%%e}UJ8Oy)1S@A3Ww2i;jPS|&z;Z)A+TJkN_qu0v*)c6Lo*C5b{I)@S-|W5MY$ zvJ8mp?)uUGDt0!(t}&dNCsKjtgW1zD#GngA=cm@!jPHS;!Cmaec_wxG^ruT0$LG@W`?iYZ+7cI&jTrDHP4|4_GNvJ;o;OwmEoCMp-GvR5InF+Ra zU@_6v)ANj)M|*N>#Ex}SBH3r_;nHXY~bLnPJ8veBS^28}ie_c<*96X$t5j zSD2WihBP`n_(Vim&YT>cLN$mZNRftcr%1hIH0{igm4hBR?AFAe2sD1r0~E;9u0|3KU;$}Rb#%X1dp+Z1LKoWH;@+oZ8X&KRlM~1h6kR9pgG3>KK%1PV ziN$~F*!c5A-VnLB_mMrD_pVGfUc`ySB=Tns2zwE?0%yvG=^+Angbz0n1O*y$Q2xIr zmtD1T+g26%M))9LvLg8sLmu6K6(B^NEO!W+4~>SFl!WhltrvbbAN1k+_sxpbO+ve> zp;?b2EPAKDByFu-a3 z=QCsZf8-CapvnA6WwWz!Q3|Oqe%w^}cQ-Tx%8#f9(w*0gaUxV`Nkec@Nl8hftp8nP zoM0{sQ~+1j)3-ll@v6UU5sW_zhLRCRR|#)uEXgJYs&P>%SXf+gT^TGkN;2S5HdH;BE7l= zzn-j9M&maf5I+C&iEcb$ubr%4N8$furm(V_yJ5}#_j3~(7ANZs{=tNF5F)-nWI?h4 zpiCh978VmrFD<2^ePoZbwK^fUAPN?P^%Zl;5eo}Xi%UzV z_ZIVSa>p^aB)CgQ+xc!Jyp!<~J@A!7%p{Q%qGvUo@}b8#tM}S9CXboeth_uWJw3*} z$_4Jfo13?5W7N$0D{8lftqQG&1a}U7nOu4`JZk$Vj*r~D|E9Cv(9)s?IuOE~Ypv9a zw&?RPto9T^_-Mr?C8?R2r@`BTiUodmyxWiUT<><`)!JiOxDW;g29+AIxbLkSdD+}G z$A_yXQ+2`MRf}xd;CIBom?!Z*Ztn2+rZ7%ffbcM*Cf~SN}Ofw0){ac@Hrnc;jBZy;D z?LwW3%F4tG3k&uK>rGfVM(K>~xsxoD#_K=k>Ayj% zA2gTjMJl&H)LHQ4=f#7)fm$SglK|o z9XORSCey%dSL`5`}`?aHPY3OUA`40x~Rj-NfWnk8QFyMFiws?Qm zR6A+=t)VadO(us^zWXB+)4<`9%B%Ww2Z@P@=k3Qau}@zYMu}TY&mq~GEcp7p_ci1W zgBy+*xgPD;9y7uN-Y#^&DjiIb`C-5W_tGz4i6pH#AFyc?U#;4(M_gaQU+LRVb-AeV z@$sq@i|nh|(R^@Of>hakGJv1}F2s8yVWOTyY}B9ic&Dk+rqpKSxl^YM?WbfbGGK@c=UjX6>&i*KI`c~XF{F6no4uNaV2fD=Ti& zn?QZMucf6$KtQ0CKae8}_p8wcSe_qn?;3jiqK2<*wp>cNuh0K>xUbJ_bQXx7T8j${ zz3$R^+1c4gyPba8i;IhWH8rxttE#_VxQy3sSFe5s8Y1Ini7%|`&%i_~TD{l6^=ovl z5`t|XM~w6z|Jqu3h`o)CN?5Pd?Cd?e<1M=dc#7?{l+?HSJv!&WB3vUMZnI|ezR~&p z(c{J1qny3?PH&~^)tdd@y*U72Xx3b|q#FiD?dAyf@oXz4oXbjZJ&+0yRWcHW7 zs@4$1-9}CTxK&!Uhs$;ePLqn%u<0p^GBPmWqJ%|6aJt50Z(n?cm|;bZAm*-L&41MK z3kXW z0dh&%lvRJGSHFLLO3%q@D_6CpxN(5q5kn1vBfNp=n7IW!afZyScrqHI~=0DikP}B*XbD9nGm<7HCX@S zJLq-an&%3smya8>;HUe6ljozzPVvaO`$i_SoJPj_pbtt>a|kGVh|@dbFPG`JqH+=M zhQ``tAX!>X4GYSCK;LZ&?6d2UvPJ&9(cVBVm0;)o-sa-^uPc7^WuuP7$a-2DDI*&& z^pmLp8tJr!+1|=zoQ{3sD^>pRbk4~g{#JJwG!D6as2is+TX8%(CmW*7 zUvcVE5(salpnF=5b{S%t)?s@(M@-9q3U#n#A@?1gK5VC%mlH(JG|Q~&>+A0zKh}1o zmI>L`;PE1axJT|&!N^Yjfh+vC;n$b%999OvMIEfq$Pj9HhvXtJWz5Q?S)Yd=LK$DS z^JA=qaMV3KtovtxJ=+;3@H>aN=DYE2$-Bc7k2720m02NUs(3<1WcYg zBovN#)u%Mr3=a=?jgQ+><)e&RUUEX&2v%Ni9Nuz2TiU33+Q-dnSi^+e55yZO(PwL@ z9Cnqpjg(`i{jKF!?wyJGiB5*03N>MCTR5o|%+X@$)E^GL@rzYUG~<>wj$Wl4oPuSD z_`W$H)XI;q)avlar2UcDlwZB|{-Iksdpz8qe8U*n)|rv)zyXYkLDU=8N`GIU>TfYc zvlO=}pw>3RwjBk8;TeAowY1L&qbB12rPS-Ky`ooo)*zp@Q)WAH-7P`XrmiDN$^oJ- zUYFw=*p+3R-P{< z#c6ThT7Lz1aWdJ9I_Dkrh`q;k%DxI0tTRP~@SO z=d23lct~lqliW}{oB4iG$QrLb+RR6)+}4WgigESHOYUi(7eSFAr4K@b3#2RyH9q^1 z$InATqDH*eBMk3b{CJ-s3r(j5;Cg;$@jF;w01mL-ffsk&y|?`O*~!oqT98_;N|%K= z`BYgs!V_Gh>B`Q8e1CfLW{4+j4cTylnud_5Y`(Zos*w-0Xyw&>O}H$a>_F(P%Qx}(#J>;4oUVnmTCI_dF{26j;k$aMw9(dVWbH2Hs zYl6G7H!U9H|u9`5N$^PLq+q2H9KM5Cidtj8*~zU1X;=hq&2x_p05 zvY_t!hq7=vrAqD8^^Q(T)nMiR+ zfN-~|Y`FJwcyKUF`@w^p6j&_1KKolyd(tCib`Ru0uOKHtUOq|G=KWqtzK<$!vD0n8 z8h<~%87b6p7cannxVt;m7ntQqMYS`KY5O4wMhJ^%76aj_-qKRh&7Ubp#g$&$wmd7D z9PutI>ax2tkWN9O)o3&Bv#q~bPpN+Y(6@GYd^`_H&CoZtdpzLeA;p7VCbv8D>I?cS zsmU)B*@634jNky82f}QzuBK*sX>oDZ z@fz9j2iw7dZ)si&(&mZ#P}GR5&OwQ=m6g8%zJD)zzlIzkjB3g;x{YM84fv+LaXrr`dfUvXQGMjc5OLrL)*i zT>3(rP2oo2BZ>V1Ua z^XgYpP3(5Kp-}L?N=>=~w|}QQ#y1EWa&%A@Ba3rAOx+t7Ie|YdmkJ>ncx3+#U#G@f z0_p*E98_M#EJLngEeo04!Bz8)#4yA@l68NuX$^MRDR}h@|N0^w=7*pKkDS1(zJY=7 za~r9ZmBVz5qvZ}*oHFH$ugbT_y^uaF3KL9g5Nde1@L;gkPwuIel>@}Z>0V9s1|(Li z`z&Y3~(^; zFa#_*n0ovBqxaA&E4C;Mw9rDp))pKsqxYoO-I;#;_|eZK4Cfk4@~#wRAL^k@ax? zrt0A+@?C0;d_l;+&$Y)35kS0SD7Bl2hURX1L^cy774@Iw4xgNqNK1uH1vVq1RY!Y^ zh#mpbiH*1KMSipc^lOo`J7svhH!$UjM(#~oMg~5V+`_*$#*rrCQc>F)Yy%_^iRyOe zQewo$-SHsX7W}nA2|p literal 0 HcmV?d00001 diff --git a/tests/ref_data/lenapy_time/lntime_trend.nc b/tests/ref_data/lenapy_time/lntime_trend.nc new file mode 100644 index 0000000000000000000000000000000000000000..e7112441fc5ee25d8e30be32abd59a152480ebbc GIT binary patch literal 2906 zcmeD5aB<`1lHy|G;9!7(|4$Tucm% zASG;)Ad-;MY)^NUh4^Aby-4I(z6I*{ui4Oj+2s41vasjYc10M*Nx AlK=n! literal 0 HcmV?d00001 diff --git a/tests/test_lntime.py b/tests/test_lntime.py new file mode 100644 index 0000000..dba44dd --- /dev/null +++ b/tests/test_lntime.py @@ -0,0 +1,131 @@ +import matplotlib.pyplot as plt +import numpy as np +import xarray as xr + +from tests.utilities import compare_pngs + + +def test_lntime_climato(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_climato.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.climato() + if overwrite_references: + result.to_netcdf(ref_file) + ref_climato = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_climato, result) + + +def test_lntime_filter(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_filter.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.filter(cutoff=1, order=1) + if overwrite_references: + result.to_netcdf(ref_file) + ref_filter = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_filter, result) + + +def test_lntime_interp_time(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_interptime.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.interp_time(other=ohc.gohc) + if overwrite_references: + result.to_netcdf(ref_file) + ref_interptime = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_interptime, result) + + +def test_lntime_plot(overwrite_references, lenapy_paths, tmp_path): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_plot.png" + test_file = tmp_path / "lntime_plot.png" + + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + fig, ax = plt.subplots(1, 1, figsize=(12, 8), dpi=100) + ohc.gohc.lntime.plot() + fig.savefig(test_file) + if overwrite_references: + fig.savefig(ref_file) + same_pngs, message = compare_pngs(ref_file, test_file) + assert same_pngs + + +def test_lntime_to_datetime(overwrite_references, lenapy_paths): + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + ref = ohc.gohc.time.values + test = ohc.gohc.lntime.to_datetime(time_type="360_day").time.values + assert np.array_equal(ref, test) + + +def test_lntime_diff_3pts(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_diff_3pts.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.diff_3pts(dim="time") + + if overwrite_references: + result.to_netcdf(ref_file) + ref_diff3pts = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_diff3pts, result) + + +def test_lntime_diff_2pts(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_diff_2pts.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.diff_2pts(dim="time") + + if overwrite_references: + result.to_netcdf(ref_file) + ref_diff2pts = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_diff2pts, result) + + +def test_lntime_trend(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_trend.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.trend() + + if overwrite_references: + result.to_netcdf(ref_file) + ref_trend = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_trend, result) + + +def test_lntime_detrend(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_detrend.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.detrend() + if overwrite_references: + result.to_netcdf(ref_file) + ref_detrend = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_detrend, result) + + +def test_lntime_fill_time(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_filltime.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.fill_time() + if overwrite_references: + result.to_netcdf(ref_file) + ref_filltime = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_filltime, result) + + +def test_lntime_covariance_analysis(overwrite_references, lenapy_paths): + ref_file = ( + lenapy_paths.ref_data / "lenapy_time" / "lntime_covariance_analysis_time.nc" + ) + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.covariance_analysis().time + if overwrite_references: + result.to_netcdf(ref_file) + ref_covtime = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_covtime, result) + + +def test_lntime_fillna_climato(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_fillna_climato.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.fillna_climato() + if overwrite_references: + result.to_netcdf(ref_file) + ref_fillna_climato = xr.open_dataarray(ref_file) + xr.testing.assert_equal(ref_fillna_climato, result) diff --git a/tests/utilities.py b/tests/utilities.py index 2b853fb..2af2d5e 100644 --- a/tests/utilities.py +++ b/tests/utilities.py @@ -1,4 +1,48 @@ +from pathlib import Path + +import numpy as np import xarray as xr +from PIL import Image + + +def compare_pngs( + path1: str | Path, path2: str | Path, tol: int = 0 +) -> tuple[bool, str]: + """ + Compare two PNG images pixel by pixel, with an optional tolerance. + + Parameters + ---------- + path1: str or Path + Path to the first PNG image. + path2: str or Path + Path to the second PNG image. + tol: int, optional + Tolerance level (0–255) for pixel differences. Default is 0, which means exact match. + + Returns + ------- + bool + True if the images match within the given tolerance, False otherwise. + str + An explanation message if the comparison fails; empty string if it succeeds. + + Examples + -------- + >>> compare_pngs("plot1.png", "plot2.png", tol=5) + (True, '') + """ + img1 = np.asarray(Image.open(path1).convert("RGB")) + img2 = np.asarray(Image.open(path2).convert("RGB")) + + if img1.shape != img2.shape: + return False, "Shape mismatch" + + diff = np.abs(img1 - img2) + if np.max(diff) > tol: + return False, f"Images differ by more than {tol} levels" + + return True, "" def subsample_xr( From 614fa85aaaf2cc54604af96a1bcc01447f4ef941 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 23 Apr 2025 15:33:48 +0200 Subject: [PATCH 28/37] test: add test_gravity --- tests/utils/test_gravity.py | 171 ++++++++++++++++++++++++++++++++++++ 1 file changed, 171 insertions(+) create mode 100644 tests/utils/test_gravity.py diff --git a/tests/utils/test_gravity.py b/tests/utils/test_gravity.py new file mode 100644 index 0000000..c5b9a37 --- /dev/null +++ b/tests/utils/test_gravity.py @@ -0,0 +1,171 @@ +import numpy as np +import pytest +import xarray as xr + +from lenapy.utils.gravity import ( + change_love_reference_frame, + change_reference, + change_tide_system, + gauss_weights, +) + +OLD_RADIUS = 6371000.0 +OLD_GM = 3.986004418e14 +NEW_RADIUS = 6378137.0 +NEW_GM = 3.986004418e14 * 1.0001 +A0 = 4.4228e-8 +H0 = -0.31460 +K20_DEFAULT = 0.30190 + + +@pytest.fixture +def dataset_love(): + # DonnĂ©es synthĂ©tiques simples pour l=1 uniquement + kl = xr.DataArray([0.1, 0.2, 0.3], dims="l", coords={"l": [0, 1, 2]}) + hl = xr.DataArray([0.4, 0.5, 0.6], dims="l", coords={"l": [0, 1, 2]}) + ll = xr.DataArray([0.7, 0.8, 0.9], dims="l", coords={"l": [0, 1, 2]}) + return xr.Dataset({"kl": kl, "hl": hl, "ll": ll}) + + +@pytest.mark.parametrize( + "old_frame,new_frame,expected", + [ + # From CE to CM → subtract 1 + ("CE", "CM", (-0.8, -0.5, -0.2)), + # From CM to CE → add 1 + ("CM", "CE", (1.2, 1.5, 1.8)), + # From CE to CL + ("CE", "CL", (-0.8, -0.3, 0.0)), + # From CE to CH + ("CE", "CH", (-0.5, 0.0, 0.3)), + ( + "CE", + "CF", + ( + -0.5 / 3 - 2 * 0.8 / 3, # kl + 2 * (0.5 - 0.8) / 3, # hl + (0.8 - 0.5) / 3, # ll + ), + ), + ], +) +def test_reference_conversion(dataset_love, old_frame, new_frame, expected): + ds_out = change_love_reference_frame( + dataset_love.copy(deep=True), new_frame=new_frame, old_frame=old_frame + ) + kl1, hl1, ll1 = ( + ds_out.kl.sel(l=1).item(), + ds_out.hl.sel(l=1).item(), + ds_out.ll.sel(l=1).item(), + ) + assert np.isclose(kl1, expected[0]) + assert np.isclose(hl1, expected[1]) + assert np.isclose(hl1, expected[1]) + + +@pytest.fixture +def base_dataset(): + clm = xr.DataArray( + np.zeros((3, 3)), dims=["l", "m"], coords={"l": [0, 1, 2], "m": [0, 1, 2]} + ) + slm = xr.DataArray( + np.zeros((3, 3)), dims=["l", "m"], coords={"l": [0, 1, 2], "m": [0, 1, 2]} + ) + ds = xr.Dataset({"clm": clm, "slm": slm}) + return ds + + +@pytest.mark.parametrize( + "old_tide, new_tide, expected_delta", + [ + ("mean_tide", "zero_tide", -1 * A0 * H0), + ("zero_tide", "mean_tide", A0 * H0), + ("mean_tide", "tide_free", -(1 + K20_DEFAULT) * A0 * H0), + ("tide_free", "mean_tide", (1 + K20_DEFAULT) * A0 * H0), + ("zero_tide", "tide_free", -K20_DEFAULT * A0 * H0), + ("tide_free", "zero_tide", K20_DEFAULT * A0 * H0), + ], +) +def test_tide_conversion_correct(base_dataset, old_tide, new_tide, expected_delta): + ds = base_dataset.copy(deep=True) + ds.attrs["tide_system"] = old_tide + ds_out = change_tide_system(ds, new_tide) + result = ds_out.clm.sel(l=2, m=0).item() + assert np.isclose( + result, expected_delta + ), f"Conversion {old_tide} → {new_tide} incorrect" + assert ds_out.attrs["tide_system"] == new_tide + + +@pytest.fixture +def dummy_dataset(): + l_values = np.arange(0, 4) + clm = xr.DataArray(np.ones(4), dims=["l"], coords={"l": l_values}) + slm = xr.DataArray(np.ones(4), dims=["l"], coords={"l": l_values}) + ds = xr.Dataset({"clm": clm, "slm": slm}) + ds.attrs["radius"] = OLD_RADIUS + ds.attrs["earth_gravity_constant"] = OLD_GM + return ds + + +def test_scaling_applied_correctly(dummy_dataset): + ds_out = change_reference( + dummy_dataset, new_radius=NEW_RADIUS, new_earth_gravity_constant=NEW_GM + ) + scale = (OLD_GM / NEW_GM) * (OLD_RADIUS / NEW_RADIUS) ** dummy_dataset.l + expected = 1.0 * scale + np.testing.assert_allclose(ds_out.clm.values, expected) + np.testing.assert_allclose(ds_out.slm.values, expected) + + +def test_deep_copy_behavior(dummy_dataset): + ds_copy = change_reference(dummy_dataset, NEW_RADIUS, NEW_GM, apply=False) + assert not ds_copy.clm.identical( + dummy_dataset.clm + ), "Deep copy should return a modified clone" + assert ds_copy is not dummy_dataset + + +def test_apply_in_place(dummy_dataset): + ds_out = change_reference(dummy_dataset, NEW_RADIUS, NEW_GM, apply=True) + assert ds_out is dummy_dataset, "Should modify in place when apply=True" + assert not np.allclose(ds_out.clm.values, 1.0), "Values should be updated" + + +def test_reads_attrs_if_old_constants_not_provided(dummy_dataset): + ds_out = change_reference(dummy_dataset, NEW_RADIUS, NEW_GM) + assert "radius" in ds_out.attrs + assert ds_out.attrs["radius"] == NEW_RADIUS + + +def test_raises_if_no_attrs_provided(): + ds = xr.Dataset( + { + "clm": xr.DataArray([1.0], dims=["l"], coords={"l": [0]}), + "slm": xr.DataArray([1.0], dims=["l"], coords={"l": [0]}), + } + ) + with pytest.raises(KeyError): + change_reference(ds, NEW_RADIUS, NEW_GM) + + +def test_returns_dataarray(): + weights = gauss_weights(radius=100_000, lmax=60) + assert isinstance(weights, xr.DataArray), "Output is not a xarray.DataArray" + + +def test_length_matches_lmax(): + lmax = 20 + weights = gauss_weights(radius=100_000, lmax=lmax) + assert len(weights) == lmax + 1, "Length of weights array does not match lmax+1" + + +def test_first_weight_is_one(): + weights = gauss_weights(radius=100_000, lmax=5) + assert weights[0].item() == pytest.approx(1.0), "First weight should be exactly 1" + + +def test_weights_are_non_increasing(): + weights = gauss_weights(radius=300_000, lmax=30) + diffs = np.diff(weights) + assert np.all(diffs <= 1e-8), "Weights should be non-increasing" From 33e731fe6750d5090a41668804dcb82ff2080962 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 23 Apr 2025 16:39:14 +0200 Subject: [PATCH 29/37] test: add test_lnharmo.py --- tests/test_lnharmo.py | 34 ++++++++++++++++++++++++++++++++++ tests/utilities.py | 13 +++++++++++++ 2 files changed, 47 insertions(+) create mode 100644 tests/test_lnharmo.py diff --git a/tests/test_lnharmo.py b/tests/test_lnharmo.py new file mode 100644 index 0000000..4b0dbc3 --- /dev/null +++ b/tests/test_lnharmo.py @@ -0,0 +1,34 @@ +import numpy as np +import pytest +import xarray as xr + +from tests.utilities import lambda_source + +cases = [ + (lambda h: h + 10), + (lambda h: 10 + h), + (lambda h: h - 10), + (lambda h: 10 - h), + (lambda h: h * 2), + (lambda h: 2 * h), + (lambda h: -h), + (lambda h: h**2), +] + + +@pytest.mark.parametrize("op", cases) +def test_lenapy_gfc(lenapy_paths, op): + """ + Parametrized regression–test for all arithmetic operators overloaded by + the **`lnharmo`** object produced with the *lenapyGfc* engine. + """ + gsm = xr.open_dataset( + lenapy_paths.data / "GSM-2_2002213-2002243_GRAC_COSTG_BF01_0100.gfc", + engine="lenapyGfc", + no_date=False, + ) + gsm_harmo_1 = gsm.copy(deep=True).lnharmo + out = op(gsm_harmo_1) + assert np.allclose( + op(gsm.clm.values), out.clm.values + 1 + ), f"operator {lambda_source(op)} failed" diff --git a/tests/utilities.py b/tests/utilities.py index 2af2d5e..b5b304d 100644 --- a/tests/utilities.py +++ b/tests/utilities.py @@ -1,3 +1,5 @@ +import inspect +import textwrap from pathlib import Path import numpy as np @@ -5,6 +7,17 @@ from PIL import Image +def lambda_source(func): + """Return the one‑line source of a lambda (trimmed).""" + try: + src = inspect.getsource(func) + src = textwrap.dedent(src).strip() + return src.replace("\n", " ") + except OSError: + # Fallback if source not found (e.g. in interactive) + return "" + + def compare_pngs( path1: str | Path, path2: str | Path, tol: int = 0 ) -> tuple[bool, str]: From 9729843dfefcaa9dc52afe3c02d8f3cd0e01d4ed Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Wed, 23 Apr 2025 16:46:27 +0200 Subject: [PATCH 30/37] test: add test_lnharmo.py --- tests/test_lnharmo.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_lnharmo.py b/tests/test_lnharmo.py index 4b0dbc3..def9383 100644 --- a/tests/test_lnharmo.py +++ b/tests/test_lnharmo.py @@ -30,5 +30,5 @@ def test_lenapy_gfc(lenapy_paths, op): gsm_harmo_1 = gsm.copy(deep=True).lnharmo out = op(gsm_harmo_1) assert np.allclose( - op(gsm.clm.values), out.clm.values + 1 + op(gsm.clm.values), out.clm.values ), f"operator {lambda_source(op)} failed" From 2b27de2e454e279cc276a37351db1d9d8fa86fbe Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 24 Apr 2025 09:42:50 +0200 Subject: [PATCH 31/37] test: add test_lntime_gls --- tests/ref_data/lenapy_time/lntime_gls.nc | Bin 0 -> 410375 bytes tests/test_lntime.py | 13 ++++++- tests/utilities.py | 47 +++++++++++++++++++++++ 3 files changed, 59 insertions(+), 1 deletion(-) create mode 100644 tests/ref_data/lenapy_time/lntime_gls.nc diff --git a/tests/ref_data/lenapy_time/lntime_gls.nc b/tests/ref_data/lenapy_time/lntime_gls.nc new file mode 100644 index 0000000000000000000000000000000000000000..b9e1e50afb8ba45479ff887629c6d7eba8ff2e3f GIT binary patch literal 410375 zcmeI42V4|a*Z=PVDk{x}x{JDsv7jI-_5uu`*Z@luD+0OWxQx7v zo}nQVmV%cJ4>oLKXUt6=n z0~i)|%UDlpT)0#gKKzbNE#2jAq5H-yWwMHV13j5cmRZzNu=*8wkIU7pQRo39SD+zNtPdsbS#M)v;&KLInJ&@Cckcb#rm+ z*~#6_tEZD=R~Kf~kC89>tb}FcSw)=H(^Hn$$Gi@NBQ~%*f|G<1o<&D z$_G9MJOSQ0&2qM#!8Z*ont;YZAmsUlXqDMFBCYp}91Eed+O@ z@I6M+l}4sr#DYO&{^{897i;eD)mwfWJK>5G>>rKY1sigkmVZ2U2BkCy`b)7ZylQ_Z zcB?--^Vt8c<)03p_R^ztGc3=0tuO1}SmV8luYa`gBa;4~8HB1FlMpSF z-Nr_A=-JbSbuT(88FiS?x0cCe>@iOvyt2noQJK_+j=$|O7S}vsv=rO{*4$G z4g|jw!?o&JMVGb&V<;N&(*K4VG zF2U*>@dFfpf2|n`99RhxevQ5rulYfU7M13{jRC!oni_fM3mAL zxPScGODuduWb7}EpM{bAoonx1WI}p}9|sT@zPm#Z^9Wm3Dc)T3X$#3H|{FySa$V!AylY*mtP z#Xsy*tHN6uMs0*v=7vW{cIZicv08jlrA0WjU^Q#`lki|MOi5DH@QvnDV3tJ<1Y6~0 zMn2c8YX?@MzDb%9Q_<$CY@bml6V`{itjrqZ%(Z1P)JJ8OKA=ofcAVBK*{Xa~j%88X z%4}j-$4;yfeU!6iYAZK3m)h1~)mFUzk!`1s)!5TtrhBnUg$?e_e-^;}Xl+Gypz5_D z%$L?yW0fv0h-43FtvNe%qr@myi4LJ)w_0`_%|1{AYvx&H>>@Ue)>^Q&y_zj&oeDdv zzq#KQ=26($grV7RMDTB zA=6wksxi~1XzqSuWwP3Q?+Yi3ar2@HR&iyjTLgy&wqC&3rN@;yE*y1e<%Vy$Uo z=iB{#M<@5Lg~u)$aSA_EYhmDfO`rKi=v7$Xv}lDenhNXR6s<7O?56E!ThTZx47Wmi zAAXFcr6_9J_H~PfTA`g_pBIg}!bmKvZ(`G`segmUw!)BHyuM`%e!Va@3+uZJb1Ry| zYmY1VBaGI+ZZC|}!ulaan4vNA4IAzi;u94S6rDDU-X`&F!w3gzcTlE;Lp!}I`aPf zsku)f69voX-`_az+4axPdkTJttuXJYxdM9c?bGo0MwS2EI47i^CiwJTk)^W6Z&N_H zk_G!$Qoy9>3i}h&-;V!w3hb{`{B9P~=DgrXo;`g@JI5_EMXg!GYqQYc zWU=SY50$A0(dLqHWJu!hnTi#oF8ALIbf@-YIiy zv#5Q>Zl`%-tr|YQy;!^Eg}&Y-YHygbWu;gzH6P!}JZ>{TXxc4-OJ*Z;PbL#hO1}^E2zU?PV+_A$p{aKHtTvSTm;FzA1B^ zwms=P<6_0yVc~%mV(s1e>!U<%d%pj?II+Iir;$ss=KHt&uvXiiF>i}O>%>}lXIT%i z&e(m~P^?wMP4=u2?eCiRZHQPKrnE8_>!s#pPb7%i&&&0T7Hf~q36{lL#%wz%H?P*V zr}H_sq(reM-g}1+S*6|1SVqfNM^=ioLz=%*tW_a5W~~ryXD{7yysxD_{JVX}428_lP{aRI7Rad(;-|lw+qFB!e zr-(G`_IcZ6kyh1zA23Nr&$gPV)iUPbrOr`_Gz-*Q6jMCA~AC3^~ z)X}}8McQHF$GZ_?t-9tuOsn;nDoDL`sE&R!FF;4vjP}uLs-ai(O7+!hdIa0uGO?Rh z)1!`u&B3Nx{kovw!W+wGjzazVSWxh!rOaKczZMikTBLhw_4k5;B{3s?M0)%e)lUIp zU2t^jP^~T~I5fUV+hICdemX*=$M3T8j23D8C)+QM5bNBFgGTA-gd1aY^mPC6B0YZY z*-t91rt|tCS2wF$ENkFkDcmg{Q6_VY#C69)U;5$lY^E#nu6wr6zwUTvXB zt8S{)y85%ug_}tE;b1TcNYvqrplYJ^7Tb{vNzaXM2p>nYuMwCu*PXUVfTb2j)6lFV++v^CxxJ zYugtTB==4lS*#g*dMEv)Sl6qjl5fzqr~8G(c|l^GvD_nFtP^s|8E@3K=Z`nFuUNZ# zbxhLHjl(||YsRv>SM0h;yFY2m_VHq!5nS*>tP^%+wBM|4Ur^xgb#}H`H`+8it61~> zFSFUAZBO+(XOK#)vn?$zi?u_iXNn|IdsXcA5V1}(J+xn}^W7(zY!$T+%-u1tSo1tQ zlf^o@w}ot*sQuGB4L!uVUbQ!C#M(Pi_C~A|a*lD^Mf+!4&R8VY4xPH+6Khp$CEH|C z`!v%!lZz9;@n%Hr-oQquJRPE3~IahDnx`Ot{shzpk%8w`ITx#+zi(8lF+=wnl%?>`0bNNBH z7IV+#TtH&2S>qnbxp4!>_PhN;&L#Ic^Fw@&oYS{$)-#6IJ8T@eXwX?X$1SXUV!$yu zXRi11%)LW$?!vRE$=lQAT!)nzbGx0Ab0#G=g=c3{|FKIQ2atceR3Vq^du6~(vqh?b3;;ZVgGJe%5<_t#*`-w|?XOunam6y%wJ`*U)*Tgx;QF ze@)J{K4NZa^N`Lzx^wnm;#6nujCYO5@BGSN4*O8Qf%UyBsK{ED>=aGWdI5^d)0I!XQOCEn`qNL(se-)Y<6zMR|H zeeuR}kLBF*LH6hOQ9NF>%YEZa+i!gt+Mp8kzjsj8p#gl{c5O4bNOA1H@!gb02gpC0 zYEIh@%efX0?=^f+$8-H~%cKo)nOH*4eF2^Kn&d+f6RF?C$hTu(5}$63%k1!={!fka zSobzh&Up=9daOMi|G@Lt`V;9mTb4|deXDWhpq*C zpHiM)G(S0_8}+;X_Se)!#C`YLtZLoB^BJI zISIARODVVyY13uIO4H(c8i!t)UQL8 zc1<3CmU9EH4KnpAq2L@jzt>Mp6x@-VbF-|-x*i*EHL$dToAmu=1@$-LWpMmvYwCZ@ z`{RiwS#r*1#e&S*WGB4)vBy-hoxAs1ZA<-jeSI-&^BXxAGc|L9S$PGQTqk9mXGI0q zJLE*9X9Wc}zu9-=horA?Z4!4GDY#E1HjI2laWO2lKS}?CoO`!t(&353b(rIgsc(tf z?PjL)B1u0h8xw47py0wgJv|mhya(0IeQjl~;J#Jz@Y`Qq!RSo-+= za%vwn<8CJ<^|S4l@D1CDYtrJ0-&cN@bEe-*Hua+Tb=Y02EJS?nSu)mxA9#{=T+v>!n;!`?t_|K zJ>W_l?md6hU_a%X{tJ84sIm&~%+0upYl+9bQU{t0r2gaWUbWM&r{H`#%oww+je={x z!)naT{2abj`{1y^Uo=@(^5k4`f5&a0!~y3gAD-m;d0Q@?9c740>Qg1PZ?{yjur2xBZ{qMC22E+bNpgj)F0|jIF@ua<72NtI zlU9s$QgFV_RvVOWrQqrwoc%EU2U`Dau6+W?h8j zR#vSYO8t7C-I=+FuG?Q6+#g%LeN6L)nnhM*|J8Qalz^*YG`ZYsch0W0^su)gp!1CK zH0c^2*j61v4|_RP5*Od4ugxZmF1@oAeJ5sh=1amRnp2G!Jvh1wea#s@w%683dKY=G zb-F5tUM^2-v~5p&{vUeDt}tu61!J!BMtN7SLH);lbnIS}`tLBvTy07HyLxo9s6+kd z@2)wk9`)b9TKlI~)PItxbszc?E~5W%*$H|TJbYka%UVsSf8z^A3+(v2W3|)E=G1>i z-6{iHQUAl{yg1v2`X65Qd_gj;61c!rP5GdeM#gfB9gk1ARx5_WJ6D_@4APXSHTdD%+cmq+LQJh z+I#k4`X^TE#45Tp8OT_`wX#lgyy&&~b?NeNKIBJUQu)4q^j^M6_{Ea}v|GdGb6N&b z`}*Y)77nFvgF9Xys2@u0op*!{8piXf<90rR=QF!j`)Hm|8H4Zc@ zcs{3clE(3TY?gU!zb~4VvjtY!t)vZ*>O70=fU|MGk88%OBm1Q`Lw<@W-iZX z&Gr}bc|O(W)mX&ync_D$j^{HX{@GHV&)u+o@jM^rS-V&Ae43B`A%W+!(tYt-p3mH= zdFyyS@B4XgVWcPqD-5$|>Ny&TA%NjrX?ld*useY31wWX#a7 z^qyrM$&Zvz+uwJRG3WCKgZ;ab4ZTwOnj6{eX0f*2Wvo`I+MieVr1k~{WxxDL{U$^` z`^l5%6FcozKb}wJGsXjXKMzHX_2T*LNXqmfyXly#s~_2?dM6VD$WE{9Um=KWy@q;| zhLQ~ons6_Ktl_xoZo|mBrmx%_LH6l|)>Wg)PJeh~`Urk|q+XoA70Ry`GcE#&0-wcnaAz>4Te0Cp$X-{_Gh%Z>Nu6XUSMvax)vxx#X|+ z3cZu_>AcPKZ?srMcHVsX&^Vs=<5{Hd6ny`%FsOO#RR8w6Ek=;(xdxWcYSEPWI6Tk5g#BvS&tE|16{N zWL~qCyNG|Z%KFnD;^}N#B5)sneC4+z`+44v_BB03vy5lA#3ZVz{i!K4z8@j}PddAX z9;fyXf9QAWB=xI`Z`tY$?PsfJy!jlTKjUBBzCivzess9YWuDKCPaCfCeA=Hkzd`$^S3kwspTp{(pP@aBDWtr}tiq9G;JB-iSv$pX8%Yp74Ckm-Tr@ z{hKcwHRA=(=abv#S3IBRQ+|BI^Xbv=*gKw2+VGkmcs@z~^YVE<EvE(g>sdV@CcR0kJkD&Dhf8ddq(A4G(Yr00ck)1VBK_1W?DM96k6B z0w4eaAb>iC8~_0j009t?G6B>vDMt^!g8&GC00^LtAqPMJ1V8`;q)Y&HOv=%N?;rpI zAOHfWW5@vz009sH0Vxwe9g}kO;5!I_00@8p>KJkW1V8`;KtRd_P{*VkJ@^g+AOHd& zfI5a8009sH0T7Tf0n{-mM-RS(00@8p2%wH32S5M>KmY`!OaOIE%F%=GAOHd&00O9E z$N>-l0T2KIDHA{)lXCRnI|zUP2!H_U7;*pvKmY_lK*|JA$D|xR_znUf00JO@I))qo z0T2KI5Rftf)G;YX559u{2!H?xppGF2KmY_l00g8=0Ch~t(Sz?G00JNY0;pri0T2KI z5C8!w6F?o4a`fOk2!H?xfB@iC8~_0j009t?G6B>v zDMt^!g8&GC00^LtAqPMJ1V8`;q)Y&HOv=%N?;rpIAOHfWW5@vz009sH0Vxwe9g}kO z;5!I_00@8p>KJkW1V8`;KtRd_P{*VkJ@^g+AOHd&fI5a8009sH0T7Tf0n{-mM-RS( z00@8p2%wH32S5M>KmY`!OaOIE%F%=GAOHd&00O9E$N>-l0T2KIDHA{)lXCRnI|zUP z2!H_U7;*pvKmY_lK*|JA$D|xR_znUf00JO@I))qo0T2KI5Rftf)G;YX559u{2!H?x zppGF2KmY_l00g8=0Ch~t(Sz?G00JNY0;pri0T2KI5C8!w6F?o4a`fOk2!H?xfB@iC8~_0j009t?G6B>vDMt^!g8&GC00^LtAqPMJ1V8`; zq)Y&HOv=%N?;rpIAOHfWW5@vz009sH0Vxwe9g}kO;5!I_00@8p>KJkW1V8`;KtRd_ zP{*VkJ@^g+AOHd&fI5a8009sH0T7Tf0n{-mM-RS(00@8p2%wH32S5M>KmY`!OaOIE z%F%=GAOHd&00O9E$N>-l0T2KIDHA{)lXCRnI|zUP2!H_U7;*pvKmY_lK*|JA$D|xR z_znUf00JO@I))qo0T2KI5Rftf)G;YX559u{2!H?xppGF2KmY_l00g8=0Ch~t(Sz?G z00JNY0;pri0T2KI5C8!w6F?o4a`fOk2!H?xfB@iC z8~_0j009t?G6B>vDMt^!g8&GC00^LtAqPMJ1V8`;q)Y&HOv=%N?;rpIAOHfWW5@vz z009sH0Vxwe9g}kO;5!I_00@8p>KJkW1V8`;KtRd_P{*VkJ@^g+AOHd&fI5a8009sH z0T7Tf0n{-mM-RS(00@8p2%wH32S5M>KmY`!OaOIE%F%=GAOHd&00O9E$N>-l0T2KI zDHA{)lXCRnI|zUP2!H_U7;*pvKmY_lK*|JA$D|xR_znUf00JO@I))qo0T2KI5Rftf z)G;YX559u{2!H?xppGF2KmY_l00g8=0Ch~t(Sz?G00JNY0;pri0T2KI5C8!w6F?o4 za`fOk2!H?xfB@iC8~_0j009t?G6B>vDMt^!g8&GC z00^LtAqPMJ1V8`;q)Y&HOv=%N?;rpIAOHfWW5@vz009sH0Vxwe9g}kO;5!I_00@8p z>KJkW1V8`;KtRd_P{*VkJ@^g+AOHd&fI5a8009sH0T7Tf0n{-mM-RS(00@8p2%wH3 z2S5M>KmY`!OaOIE%F%=GAOHd&00O9E$N>-l0T2KIDHA{)lXCRnI|zUP2!H_U7;*pv zKmY_lK*|JA$D|xR_znUf00JO@I))qo0T2KI5Rftf)G;YX559u{2!H?xppGF2KmY_l z00g8=0Ch~t(Sz?G00JNY0;pri0T2KI5C8!w6F?o4a`fOk2!H?xfB@iC8~_0j009t?G6B>vDMt^!g8&GC00^LtAqPMJ1V8`;q)Y&HOv=%N z?;rpIAOHfWW5@vz009sH0Vxwe9g}kO;5!I_00@8p>KJkW1V8`;KtRd_P{*VkJ@^g+ zAOHd&fI5a8009sH0T7Tf0n{-mM-RS(00@8p2%wH32S5M>KmY`!OaOIE%F%=GAOHd& z00O9E$N>-l0T2KIDHA{)lXCRnI|zUP2!H_U7;*pvKmY_lK*|JA$D|xR_znUf00JO@ zI))qo0T2KI5Rftf)G;YX559u{2!H?xppGF2KmY_l00g8=0Ch~t(Sz?G00JNY0;pri z0T2KI5C8!w6F?o4a`fOk2!H?xfB@iC8~_0j009t? zG6B>vDMt^!g8&GC00^LtAqPMJ1V8`;q)Y&HOv=%N?;rpIAOHfWW5@vz009sH0Vxwe z9g}kO;5!I_00@8p>KJkW1V8`;KtRd_P{*VkJ@^g+AOHd&fI5a8009sH0T7Tf0n{-m zM-RS(00@8p2%wH32S5M>KmY`!OaOIE%F%=GAOHd&00O9E$N>-l0T2KIDHA{)lXCRn zI|zUP2!H_U7;*pvKmY_lK*|JA$D|xR_znUf00JO@I))qo0T2KI5Rftf)G;YX559u{ z2!H?xppGF2KmY_l00g8=AkW_2$+e4_8Doabq(#ZXQ#o98LPiZ3)2IJTm=QBz%*)L` z%GWQz&N(O~$d8#BGJYj3N~TA@OVN*!E5A;km88ySTXbkpR3xiF8?5PvZxj;b8xa=i z?;95C7paU43ib6@HnFvBW^LQpy0KlaCQV!0HE-Rxg-uhtrY)M;8Z~CD1oc*0)0?kP zuz#qZPefsde5ZVe!y>|h{f9*b`FahB@E;Nu5#$rf*p|zlN8MeWd*~T=)0b7GR!mPO zlV$QBXc4S_MJ8jcoYJ1U=NAWNSC-io=+i+>_$~SkH0$|o`Qyu)^Xv5V^vK8x_u#Fp z5P>1@4b#`tGceQuA|WPE1;kEaVG({op*~Umk-DJi zJjjj0MX-h7of-L}&&pCKd^a6}f`fbe1V{V-?)mXFguMl;=`(-4k&*}dJ0UDVEqLOc zl_AzmjGAjQql_jre4xF8!$OA?#-?&n%b&ucgZ(3w!~7$Zk>Sxk5&p^$|0w?mqn4T^ zDcYCc%`4O=#J_Ogszv(_2@V_V6RZsL_4f%?2KxI%DJf^7{6nLR25FMQSaYU6zEROW z!CnzQp+o#xRXQt5L>U$6udL-092G=o95GU9tsD~JGh8ET@e~5X{KA66hKy83 z(?u|(u(^NCFrU!Kps-M-e?UNxZ;*ee??`1>fac__sYy_zvgoMpu1?AkK9Nd4|A?UB z{(hQ6Qu@=*#EjoMBqGQ!(x@wcRq8WS0zygQ+^L(3ThC7JZeCqG_3XuX(mX7l0}tT$ zl7fdQfGSI$cSSZR%MTZZS9xiT9E}A1YCvf}` z{d}T)BK@O^5A8=}3QwIG^4qne%I~CUKqbu;#vhGeY)u~~_v+!|!e5GlH-Zi4Q}%Zj zyDGYU2m^v}7QeF#R)GKrfB*=900>B&facMlf~@$_K)5j!tiBQ5P88mFYwiggghv9a z!aF6+`KyGxpqX@^#V`E53%>|={d&K-BN6UQ{)W4L{w9gP!Q=1x|DGE>BkFP1rz(pz zc>G0pgc~Hm{;y9?g_w90{F9S_X?-=#ZC6Io-Ist#|DVM4H$NN^aQ@-w?*VR1cn*Fa zzDRsWea5Ab8WSKHjS=qQ|E@b~A;$$<)j;=dxMw+C{k^4S>kh8Y9E&v7xW+&Ksi{M2u1mSN=@A@CAa)0~%m3!m?4+hq#-)35}{w?48VWym=VpF>n)$AtxeCte} zZ{!h+^s;?R)-IpDx!FZmb3czJag}PUGf=f_RDP%2^1y`NHj_&^@3A@bxTE>b!Tt}9 zj;nrX=;pc3HnXn#T%56QNcH3M`_7*rtNH46T(5W6dPG%^-yZ6)sq*Qaa&?)>5udyiWe#t@@kI=sz^|=?qmu#V_&8`jmRwv0R_SLx)~9eRa8d z*8}Uz>m8ph8-09+zHR^6gWKMAh^Tk`gI!7I)Y- z(no_WO-d>2{n&YSsk$}vauj>bA8)*TP+xh)DC5a~t8F%i=A68KZ_S-K-Hbo%s=0jR zgWx{Hj2Ay%*rju{PkPvjWqbP!S@7b}n+2<0l)hT&yiM}>)6K_Od>u7scDW}#Yjipg z`E$h=W(N~b#vZ&o_NUJVC!DXuZMocaWz82SO!ht)d}{y3mN)Ae%>GgDz%YlT>dmJ{ z+ce(&zV!k5-neGHx>Z?kx8C~UsZ&nh8;|OD!D(+?Q?5?nYxR)xm6}z3w=8tGqKx6i z$)f|G$#ajt>+vXCK4Ln%o}GU&*>U#z8aF1*xxUIcY@3x~?5GP_z24kB(JF82(JHmW ze^RIPK4HJ(e#gtbzna#3pEo~!XWv7QZoX;s?D~1j`k9FiD;|s-dsaW=#c}I} z*W2`IwQg*7o5p)0CrrLH>&nkZx2*2-dZD81%zz3L9Xbx1I=a?6uIXOm3#ZL1XO3Rj zDe>;N`_5S>d+xilVd4VYt<{g^jDE3l?2iGtmSNqxop;@7+jVa%d1sI7_Spl*-%#Ic zJ7nI_C0PwSH=Pod)a$jW+i8od>4PfAd&Difd-j*hi!WK$Yuq!=;OMAa^Qb|`b6;jX zxjef3&ra1o?~OgvV(UyNOVc*T3O3#7bv7ovdboe>PT!7ciJfs&f9DZO+?X^DEzR&XVxZ`$v>VpDzFK@b;3{M<$rLODc@&)d;F;W{uMdP)5;&~ zl)k*KZ0hztUA9K#G^+NKy5Y~8Jlm$XEc2x4hodhi&FyY`vF*y^#^Fy+e28zI9XYk@ zpzpUnXPo~!%f(@TE3=f0@Z6}(y}64kycn?B<>lIQ0}pSVR?*3Gc4A%=kHsw_r_G27 z-77zNJ>`q53SlPo>j{|J)rU0^5y#Xd~>J%p`e~w&4+IC zX|m7DbHYo~i0 zJ~MX0uC&%a#;Sjw^8Ap}v|jtE&O`0)j_~bi6X`ry7M8Z8>-y*q?q`Qhsj+v~oVX3! z%T-@pcSZFzdv+aMcQ7~S?a^Ap8!f(fxv^cVniXR`2M#onhfKF`-|Wbc_amC`Y5F;{ z=l-gvS|;sDe|N5)SG~B-F-PuN+dab!AGZ>mN+hg>KffgUbvUa=NFx&O%P}kRUzaR6; z-+1WR^UqzpRvnr>zRVZscO^bFV)51}`NW z8Fu0@$kpnLNQ-7=K1-Xvctkev7t8rQugba0r`;}| zB-_8&*FLSU$vNB3PlhIwO}nz_o$|Vzv)pp1NgUZZs%PP4Z^$`Seb4h_$UZNaX#AG! zy-j&RzL|1PHrpXNlkAJ&t#7;Clye_;*H`Z$dp~Zmf%Ppp7hw8z$SShkUk^#DaGUrV z=CztaHlt(f9-ql3)!nc-?2epklwkBJo2*3JFw7n{oqtKl6ujuB2Q0`YN(-thWTeCmX%N z>|($p@;l7D^c}J#j#n7f?XjG@aL;YuVY2%U?)%o_3B|cZO`pwV^9t%Lul`ido$p<{ z>^!pBKCN9!Pr8y zyU3b%eskLD1?8R6qD%r=uMt&8mwQRvSEsI@O7@a#ExmlQ?;A#R40$EzvW)J{ctEz2 z>h#dAujSm;<|kID$@WdQW=-=bZ{{v@+C)~dspjRXZ{*zBVRg&SB|EN_wX?xnIX7UQ z)vjo=#>y>MpOIa#)U4%zcXDn_%$U)a$l5qgOzrTCobyc$U7SL8z{E=ze|S%E{@lWD z3E4BZ5=R()kaL?GuX#F_Z2!+2YQ7^|r@{lDz>jin%S_i}H_0v@nri5tFXti-?--du zw)V_DJDYuybFUNMzTHCh)5|b*#m{o?;knxeGsqsUeKYzC*~pjowh#M4dE|Vj#sjkY z#t%IEe3f(C2EAB(mh8-3xh30wlXLCHy|(|Eto+)Gl-l3r+!a~y-DPCkXU18W7RWg_ zyJ_k%WZAb_pWl#mT;w&~mnk^&8J$;Tl3iUP-?Fnz!Igei%l8o3^quuq*y$;_Wu@yF zZyxaEsCR~bR}f??dJY_cb>=iBuzq2Ri@do4Xd z_IqXjOKnRkxZ9zFx$R_Uw+I|B*1$Vwi_@MD*w+;`zkVkfq zeUxE9X$5C$ILh%hS(niPwOq<5xDQUj{r8c*x;*G?gR%S{JdR}Z$aXlMloM6!-o)B2XHMCZ39XX#Y3c6RfX`D9C5 zjj;ADEzVxiD;D&gQZ+(hvztS(`T31nU$FeG4PbRx(`jjR$s}j%P zYa`;w9`EXyURJK)F2)^cEx`Khd1sQ|>scze(MgqC z#gJvS$F0aE``gD~VJ1v?Zu_u4q-RQ${kE&q|nUw($Ha5C|~^zoPfs#*N_ z%TGF;p6YHVe*FE-tl2F7J8gcR?(dp4qqjl|7s38-vu46vR?%+k=$paWn$P@;qqcM0 zGE>yW+AK6US**QpPoE*y4(S_w#JYA&_10o-;MumEST8m2d?i`izl_bxO`IUs9-Ffo z6>G+-SYF89u5C}R$UG=BSF95Te6|;BZ;R%ywu#y+?}V=q>x|u7dWf}Z_+uv4u6fsX zY!&Tqm{QJLte2YSm=$Z@|F(ycwC!cgV{=SMvF7~`tS;7>4-(IA(Y9wSVZg$%V(o2l zp@CQ{@07WJ2M39@w?$IrV$C0~`I+_F_A-`|5Is^ypYLK- ztQk{o-;}vd+n)5Daj|0Uu<$?&vG(r#^--d>J>P#`oLFD%)5xV*^Zi?XSgUQ%n775C zbz-f&v#f_$XY9UgDAuasCVSS1_IJ(uHbkrqQ(Bpe^-}Y)ClW;M=jHlEi?zq*1j}MA zW40ZXn^$Yw)A<}*QleNB@4dr^tkQ00ETiSCBP&JPA1Z2!9i6r$ez9n~Dx|cbShJTZzeU>Zy#HRu7wYIowRH84$qTgGdH=2N≪09_!l` zYu^9KtLJIA%b549iurSO^w#t_T215T;$2a*MOqb}Vm(Ww9X4crnW3Yfr^f2&NioxP z^xVeNbadVKQ$(6|`@C(kNUQ3<516E*XIo9wY8i9zQs<~dnuY)1K3=SI@-xPW_5JHj zM(OD04@Zb~>ge9lBJD8obDRbBAuLT8>7U`Z^{k@=INz6ze zkskj=^;3XY7aW~BRI3XL4vlZpc9@QqpNyp zJ>7r2NROX;_LEAh>AZf(RZbM^I-iG3($Rz0P1e!9pHI=z2kTDL(K|z@i*!c69lK(6 zbk(;rbhL4+Svop8dbUWjp&jt*vqI=kVV<+|Fi{e02(gu#Ay#5yB!%lHMN z?HL`vS6e93s+%gcuKw(|NN2l^{$i2#_E@<=tTPf*o#RB?9ZuLk)zy1vF45WUQ)8(} zvkF;gwy$R_JW^Xs}X8Pd=rqzXz|< z*&buIT1P9_6>G-QOwU;+Xt(qFNrYJEyC)qL>%iQb71oH_2j<54>*}6+bahC{wW9X* zs#WzAYwyJR8^t;y=ViWFXIt*OX zi#5f^{7K#Q+V%wn$-R?C7Hh_y-bp_x*7d5X3$(`UXWO4EcZwk>x7(g#v8Tm z`QuIPE7tB_9g}o)x5ky?Kf-N7ZkXAot-V# zjW*5BD%O1e%WSr2+f)6{8Ke^HY)i|_V(rlBnIcKlUKP7NM6Amf6p?N@GpnUodnT!U#5(F#r&zIGWYTb_ zSf_MPy_w?p+ZS7e$9KX0wa51KqHnE#{r=BC`eMu9{K)>dzSzRQ{BdmmzWu)iF3gh% z_OAiISoC))!b>uLV4kEfnf}yk0y0fHGQs{gze&WuMl+U~*!+)kA}jdU9RAKZ5k3X^ zMX-N%PDFThN7D;qozfPhus8QUW*bs1-ph^H-Jfd0-o<@4>|gJwvOWENgmYJ zZ#T1Yo8rjsmw%UAX}O~+ebbgn<*A?B4$4L!>0V&+>{0{6Nbg$qp{6z6TU1~COWDPA z58=?#^m)98BXd=~j87e@Wb9-?{vODQoGx20E6>7(n+rF&$@pn@0DXUs>N(k0z+u!_qEB z^XI79#8wS|X-56p2X5(pY?+#kbNzTYVWFB?_>9{2HC)Z|_p80%_^H|QRqtY)=^if3 zBq#PI-J2QrUh{kx9q(Z?SEs&oyr+I%la|FevR(_e#pF@{%=yvjyGzvUviqHlbLcp? zCk!97pLFiYSUV4TRvUI{v$95znneU}J+y_+!^W)b?fMfPnQf+blNjP$d4m5zJG$r7 zllvvzr{iV(P;K4Xu4*>Z4Vo!H$!@j_hLFDW|TFc4UL|+c)Srop>BOmNc1;oByTC#Tmr= zMXtI;$=Pal>2BPFIZM^5=l=I<@^b~L2R`L4S*>P6pCmdRTdZdHx|tlyqvLNixiz{P z#lPOb_lLZx|ERc&J$8jVvSG%mav>uf*``h7H&veI$dpau8cx@M4vk{W#J!ry0dz-ph?6OHEZX)%`2Jdw!tvU$>^qPeBw% z#pSX6hdZ*}ElN!c;p6#y^e7ABzBKgAE;oNQn>=;Ek+T%P#AS;%ze-TE(6w{7Oxd7T z^?J5q`}jmPb9ru3C18=7c`nV})`E@`)p4cz$!I#ip=aeUBZ*7j!A@qej%=3yg6_NN zo?kiV!PfO19of#-4a)M*pd-$%GMcwot*Tpf{hA2k^02nYqy5zH#7`IQk6o!|aX$Mu zcoCNYcW&OPK3UBcJ=u{uCCZW6%Pr2j$2qbWS+no7rT9i0UFexd`DA7E^(2?6d%{On+MFJ>(687 zt>fS5IIbxvvbSR#S?%hny<1SeH0af*lL6W7=`E|Snd!(r^tk!%HRa`zL$93%QoeV7 zkm}zmo;a<3xo0c&JJWc(MJnm^?2?golt+1UehME)d9}3bh`uXB)GX$g8fWY&o{ts# z`d=q5Q_oGP9X`vEnGAMtem8;m518z~muM(ZBQ9o9-jL#mPOZ}Z1{L3rS3l5aosUU4}KCD3+ za7W^B;b5Hg2I4)LOS7_`OL^n|@WctaZao^V9AfWD zTrcLHkEM9NGQM8xK3z{y-Od|rqd2tMIbm%aJyX1I+_H_Hks+pH^+y7wyOr^M<2SJPWJhMUvcZ95>VI_~RlBm(Z*0^u6Jz4My>&m+*|BPN zv5}!ssJEJ(Eb08cMkrlha~sdPIm=OXZp^yuiwTY_R32=aOXHf~`3KjI((#_`ZnZy| z#<#U;l{4E-rSW2tZzN_@kDwq5ooSkTsl}O{M%`fo-);O{q@}&drETQY$>hqo+ z#EE$gysU4pW}Eg@Uv5g{Qm-}ZX1mdODWl9LbG?ZByXK~)DXv)lEdrWbMkbRL-c<1S z<$vuK@l4S@x$r`yaEticzY-K)oiuXh9sfK2gqF4cw-6NW+_TR^#cyw)h36E({xvpN z@Vuh?l_LMTxl_RHNdETOXzSno)uHfLsDe%ErkfsiX1cGR3tt_|ikb;;zYBZ)`gL`q IjDd~+AB}9bF#rGn literal 0 HcmV?d00001 diff --git a/tests/test_lntime.py b/tests/test_lntime.py index dba44dd..37c137c 100644 --- a/tests/test_lntime.py +++ b/tests/test_lntime.py @@ -2,7 +2,7 @@ import numpy as np import xarray as xr -from tests.utilities import compare_pngs +from tests.utilities import compare_pngs, result_to_dataset def test_lntime_climato(overwrite_references, lenapy_paths): @@ -129,3 +129,14 @@ def test_lntime_fillna_climato(overwrite_references, lenapy_paths): result.to_netcdf(ref_file) ref_fillna_climato = xr.open_dataarray(ref_file) xr.testing.assert_equal(ref_fillna_climato, result) + + +def test_lntime_gls(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "lenapy_time" / "lntime_gls.nc" + ohc = xr.open_dataset(lenapy_paths.data / "ohc.nc") + result = ohc.gohc.lntime.GLS(degree=1) + data = result_to_dataset(result) + if overwrite_references: + data.to_netcdf(ref_file) + ref_gls = xr.open_dataset(ref_file) + xr.testing.assert_equal(ref_gls, data) diff --git a/tests/utilities.py b/tests/utilities.py index b5b304d..2fea420 100644 --- a/tests/utilities.py +++ b/tests/utilities.py @@ -7,6 +7,53 @@ from PIL import Image +def result_to_dataset(res) -> xr.Dataset: + """ + Build a single xr.Dataset from every xarray / numpy attribute in *res*, + making sure dimensions do not clash. + + Any unnamed dimension like 'dim_0' is renamed to '_dim'. + """ + data_vars = [] + + for attr in dir(res): + if attr.startswith("_"): + continue + + value = getattr(res, attr) + + # xarray.DataArray + if isinstance(value, xr.DataArray): + # give the array a name if none + da = value if value.name else value.rename(attr) + + # rename generic dims ('dim_0', ...) to unique names + new_dims = {d: f"{attr}_{d}" for d in da.dims if d.startswith("dim_")} + da = da.rename(new_dims) + + data_vars.append(da) + + # xarray.Dataset + elif isinstance(value, xr.Dataset): + # recursively tidy each var + tidied = {} + for vname, v in value.data_vars.items(): + new = v.rename(attr + "_" + vname) + new_dims = {d: f"{attr}_{d}" for d in new.dims if d.startswith("dim_")} + tidied[attr + "_" + vname] = new.rename(new_dims) + data_vars.extend(tidied.values()) + + # numpy array + elif isinstance(value, np.ndarray): + name = attr + da = xr.DataArray(value, name=name) + new_dims = {d: f"{attr}_{d}" for d in da.dims if d.startswith("dim_")} + da = da.rename(new_dims) + data_vars.append(da) + + return xr.merge(data_vars).assign_attrs(source="GLS unit test") + + def lambda_source(func): """Return the one‑line source of a lambda (trimmed).""" try: From 3dc94d4b7f94a0e42c1da1b48b4d0cb16e518538 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 24 Apr 2025 12:06:53 +0200 Subject: [PATCH 32/37] test: overwrite references if required --- tests/readers/test_readers.py | 47 +++++++++++++++----- tests/ref_data/lngeo_distance.nc | Bin 0 -> 20520 bytes tests/ref_data/lngeo_isosurface.nc | Bin 0 -> 141557 bytes tests/ref_data/lngeo_regrid.nc | Bin 0 -> 198604 bytes tests/ref_data/lngeo_regridder.nc | Bin 0 -> 133042 bytes tests/ref_data/lngeo_regrider.nc | Bin 0 -> 133042 bytes tests/ref_data/lngeo_surface.nc | Bin 0 -> 141556 bytes tests/ref_data/lnocean_attributes.nc | Bin 0 -> 150809 bytes tests/ref_data/readers/lenapyGfc.nc | Bin 0 -> 283213 bytes tests/ref_data/readers/lenapyNetcdf.nc | Bin 0 -> 38160 bytes tests/ref_data/readers/tn14_rmmeanF.nc | Bin 0 -> 35465 bytes tests/ref_data/readers/tn14_rmmeanT.nc | Bin 0 -> 35465 bytes tests/test_lngeo.py | 57 +++++++++++++++++++------ tests/test_lnocean.py | 50 +++++++--------------- tests/utilities.py | 2 +- 15 files changed, 97 insertions(+), 59 deletions(-) create mode 100644 tests/ref_data/lngeo_distance.nc create mode 100644 tests/ref_data/lngeo_isosurface.nc create mode 100644 tests/ref_data/lngeo_regrid.nc create mode 100644 tests/ref_data/lngeo_regridder.nc create mode 100644 tests/ref_data/lngeo_regrider.nc create mode 100644 tests/ref_data/lngeo_surface.nc create mode 100644 tests/ref_data/lnocean_attributes.nc create mode 100644 tests/ref_data/readers/lenapyGfc.nc create mode 100644 tests/ref_data/readers/lenapyNetcdf.nc create mode 100644 tests/ref_data/readers/tn14_rmmeanF.nc create mode 100644 tests/ref_data/readers/tn14_rmmeanT.nc diff --git a/tests/readers/test_readers.py b/tests/readers/test_readers.py index 668ec60..f665868 100644 --- a/tests/readers/test_readers.py +++ b/tests/readers/test_readers.py @@ -8,23 +8,46 @@ def test_read_tn13(lenapy_paths): pass -def test_read_tn14(lenapy_paths): - # TODO : asserts - ds_C20_C30 = read_tn14( - lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=False - ) - ds_C20_C30 = read_tn14( - lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", rmmean=True +@pytest.mark.parametrize( + "rmmean, ref_name", + [ + (False, "tn14_rmmeanF.nc"), # F = False + (True, "tn14_rmmeanT.nc"), # T = True + ], +) +def test_read_tn14(overwrite_references, lenapy_paths, rmmean, ref_name): + """ + Regression test for ``read_tn14`` with and without mean‑removal. + + The test is executed twice: + * (rmmean=False) -> reference *tn14_rmmeanF.nc* + * (rmmean=True) -> reference *tn14_rmmeanT.nc* + """ + ref_file = lenapy_paths.ref_data / "readers" / ref_name + + ds = read_tn14( + lenapy_paths.data / "TN-14_C30_C20_GSFC_SLR.txt", + rmmean=rmmean, ) + if overwrite_references: + ds.to_netcdf(ref_file) + + ref_ds = xr.open_dataset(ref_file) + xr.testing.assert_equal(ref_ds, ds) -def test_lenapy_gfc(lenapy_paths): +def test_lenapy_gfc(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "readers" / "lenapyGfc.nc" gsm = xr.open_dataset( lenapy_paths.data / "GSM-2_2002213-2002243_GRAC_COSTG_BF01_0100.gfc", engine="lenapyGfc", no_date=False, ) + if overwrite_references: + gsm.to_netcdf(ref_file) + ref_gsm = xr.open_dataset(ref_file) + xr.testing.assert_equal(ref_gsm, gsm) @pytest.mark.parametrize( @@ -45,11 +68,15 @@ def test_lenapy_grace(lenapy_paths, input_file, ref_file): xr.testing.assert_equal(gsm_ref, gsm) -def test_lenapy_netcdf(lenapy_paths): - # TODO : asserts +def test_lenapy_netcdf(overwrite_references, lenapy_paths): + ref_file = lenapy_paths.ref_data / "readers" / "lenapyNetcdf.nc" gmsl = xr.open_dataset( lenapy_paths.data / "MSL_wo_seasonal_signal.nc", engine="lenapyNetcdf" ) + if overwrite_references: + gmsl.to_netcdf(ref_file) + ref_gsm = xr.open_dataset(ref_file) + xr.testing.assert_equal(ref_gsm, gmsl) def test_lenapy_mask(lenapy_paths): diff --git a/tests/ref_data/lngeo_distance.nc b/tests/ref_data/lngeo_distance.nc new file mode 100644 index 0000000000000000000000000000000000000000..fd8501f1e68b5d7c688251e44ff27deaaa3dfdfa GIT binary patch literal 20520 zcmeHtc{G+?+xLZ3rcy~FLX+l*M&xG*31zzG`MMA)NomlasE|sUs8CT!gG!1JMf0Fp zlcae-qeR2Iuh_TydEWc|<5}zb-fw+twb$Bq$GMN;cO82l`#g?)7VF|TQA=H4UAbdN z25rAuo7t3>CnH)X#9i{fdAc}yDQo5`oBn>L(!OMm);di`6-@}6h=?tNVJX|XCw{(~}GfXyZhB#b4`?u*9=*IsDP@zC`FmW4E z)1H7NybhD$?ak;$CKP}a7#&^Rojklp z|JJKQ*g6q-L@$NsIBohg*}noKaxHDh(x!~xn?j56H?RI)Si(R@6&-~SyBPQWy><+S zF{4LEMvoCup^3FKHPV)U)mXZ+ey>{Lej0*5I$EVq)Ci)4|29 zy@BG9QoGij%jg&)4xbi2M<#b_-9L2)JAeM~PP1xNM92TsX}?;XR@$oPf5mBvU-Tbu z$GcY9TXc1pM~ef>uA)6(4c?$DOFa@a68?WQ7_{Cxsft z7XBR?LJx;2VKYPJVd2wAY$-y-lyrr_TzS~+X)|ZoSPYr*I|ywohm9R(F(gptZ)IaX z%-nL=$d;{mxieuV&9-Gw=q8O!PaP6=hdyI4HrX>6iKMS4eI@D3NMAsDDCz#B^GNq1 z-Gy{p(k)3JM7lBQx}KTmot>FK1eCOwpN7YD}DNe&E#I~hI6=tV{! zGBU}?CL@oG0y2upC?%sm83V}}OvdSC3?*Y28Rw8Of{Y8u7)iz@4vdneWL)OJuv<=^ zMH4!P&?^bOiqNryjwAGHLMIS<4WZW(I+4)p37tgf4TRoA=*@)QLg-{dZzc3LLT@K@ zDxuQ}y@Sv@3B8NZnWX<|e?0KV1Ajd5#{+*n@c*9&6d6ZLnlP_R3wl}$X!iN%j9ZPc zDU(i9!v8GiRw9y`b_|k5t1vW31)-=RCQb_p@e_y4k^f_U{ZBOxgHb|K?+ceIhP2^V z?@CmY_80!X|BPRq@chP4v$Ox~2Pj1UPyK+IWxgl=%Aze5;FVR{3OZVP&}>@aIz{{U z=QPWn@K?cSsll-Pr9w)RzZHHhvW>0fiF#|{_ps&hU*(C)|6HE9Dp>!c!jB;M-RP(w z6hA`YLbCY(+Gh7T-T8MGJwowZshw);w4qQqPaGB|o-dS%!^JKCnkx>QCYFTAg~F0f zEo}H08>*1*_CdO5!UZL|_&n}5l)>MBNT|doF+PXIe9oZ34bFRMZB#*r10Ksd3YN%*|h2M8Hxge(NQtqQneWW zW5rIrOxS+6C)XUV{vDBXDd^eO)&r>(!k^)f2mW~Aj|cwE1I`YflYgILibI$*`j()lJH1P8IiKmJE`vdD;#v>7 z)^|U-5}^uO)G_w9-u|?be}+FE_~U^;9{A&dKOXqwfj=Jj| zc*Mwi&sYf68RmKMJPVUN*B6KGV_|Y==-u0~EVyg$+MyD_g6PrATkY&w=)2hN)-!z; z24+U)9QwdSL`kAa*jXm*pIWXQo6JPU?zb@bES=eSt;}Ku1zdJZqFvk}i>Oulm zj`BrsrjPxq1|P)p2J1&0^TFlH%ABCtK3G0UDRIFFAB5C4c0cvb8`G_$!>8``hRZiW znVZxb-#107UoiAWb7Y;v^SfSHe%EJKQKA>Ze2(p$>E?ytyWh5E|6t?f#Wl6&dK}cY za~Z8Nf&)w`aM5$(AZlQAX%LfxPufhKFa8{8ZaN%$WHtwn>n7NzE#lzfr2At|M00R& zMNh}(RUGivJZ|t7fB`uxMr>DpFlZcA14cOViC9wzANizwcrd zSFEA3}! zp7leO=Igc3m-%5sjh>@{tsioo7bc(n>WgRbX;VHN@4k&ZW@je&c!7UfyEys>2X7}C9n~=4LjPWo-dZazH0^pewRh)YLQ$quh?omA z-NfrB!ni0j%on~~%0*Ca?;W4wxwtss+L-%ETohIGE#9()i{5YM7Y|Koqv<^5r}9)E z)lcmiwA!b51g-dt^PXy|JmTQ{b*sti@;Mmi9RGb(5(iCRj)o`)aUiPD&HZV^fjIf= z{xO|7P%XGzSM-RDgMyRiw`H-R7cj;8Ss2-m4XYb>jb$Tx58wCQ4;J<&Bzayv#X{h; zxiQ=&EM%v2u-t9Ug2z!UtJ1Gb+zpRe_MP$zZVnRLX^v@uKA&H z{kNs#qx{g}=fe#zM);vvJ;MHLl`l4GRz=0c`@;65h59}cXE!HKHZ_B-4akJy5z0f#^%I?adC=+NzCJ6MhsbtQnll&kFtA(Ap;2piF!^He z!Y_q~9g7{Rm3Q$lZvL10(R+D#_jBgF&sl9Wou~X%p6a9esXc0+;-UE5l_c4m`&>A7 z|5Y1)l#5$kat?@MxyY9lx)0)U(dB`1yT^mMC?5N=Vs#@2PXk>d>`!xW>q<&^=U5K( zV(q`FxO1?^)%D4UP8^hb#2?smnT^eQ5sMbAVk2SbLbXDW^IB??x}=c>TkGR`_x7`} z+1C5%LjeoZZw&aH)`^ANYSS-|E@Yx}r^)jR$hrk>G23L@g^6dKR!(_v!Vd{axzqOw z{1CX4?NzMohxl`SG)HCng0b#6f8a!4OfxmPa^$%W%3uA;ttIiLBgkPj82fImKKYV||^hQ_5DPJ@{dch$x{6S>A7v`R}jq3S}2ZO;`CXS|jTpFoSR0%%b7^S6L z;q$>;Q+-rFwMXq!JQUwki;Kz9N*+c%{ML8aK^~R{8effB%7feH@&WTadH7oN zIlY?!4_9J>76d%yB6IzjlgsyVVZGss+58|bjH(Pqvj=jqyECKRsOKE4-P_*HG?jxd zIl6pv9}eDq@Y0Luz(ID-{pt=U*jT(`WlE!*jds=Ly98a>C}_&O?peUXhX#k~H6j+y zKiF+CRF#E6USp;@?_uKN!f(@EoJriB+P25#xgQG7sN$-g4)?(bUHhwRI{0AbGHIE4vNvotciwklpf|h@bED?w zdtp)hxtCcC0kmw_&Rf!7fT?}E3KqBsFk*koowfb~OkQu|oVQefqV3n6o^KN1M|#+< z?pXp1yt;KZjtkInNMbixsQ_J_a)&QCN5&7~=b|pO(R7~jQ+cY7>ZkUoeTs+Tt4qjS zrFxf-*vY>pre*Qbk&~evGmnpgpKs5VJMb~E>Yddr4L-guTlszSH6BJ^3t8p1j)$EQ zE-I<+JcyQ#nz*wA4>KLIE(aHL;q~$9o=)T(FQ^_oJI$1f`R>xINGh>a;GL+?4Nv!US`7gMx{g)C2Pvr3Y;7=BrCYySf# zc5AXfdxtUcSZ(X17bGv)HImyDne2yUufx`wlRPA^yS}{lpo>^vqkZdV?TKzhvhppQ(1`k?2iky2MZxvp8r|k zDa51kU2jLv6k^e9^YDmxAxdU&=MUW_MBs$eFH-Y__{4nPr@UNNK*KSqF>7_}1>-}zAcv1RthLOyP1z4#C~pAU0U{7YvGJ`S}LAKUekoEwInS&7Ny zyzb!0>hD6)CEsj$eH!_Ou`%%v}3Kx-AJ6(Cb}kESx-@Z&FM@McypJgGK|`Kxv*~yrq?Rr` zEiLdy(xLT_{Kk0WfKzeqB4rUmYtGhw?jb_akqh5!28+na*JSHuEyAv9|C@u|L~x!y zG^U&>Laf{UC;Ac*=HI+yZ5AX#ne(;WH#0?Oe$zZ!G+TuICDtofhPTmlp7K+9s*mcY z_NaY|hvNI;eADREZ6V&eUq9}+Q;0p27Wdd5B*e)jA1&?=6T(0==zFJn0m|>}n(Ub^ zK$ebD#UZHxleWCBbJ7#wIag3H-~t~vo*up%OwMs(*p%r5jrlMzSgJkmEDtvu#^=tQ zM&7&gT$9bzcnECTIpJg`7h}hIvh5~tF)FU0xZ*Ykjfokum}wkrsyyl)(Zt4H%aR?Z z$oow-<#|Yi4jZ|NVU@?XlR9U|d5x65Ea;0}M~=>7!p?Zs^1XwZsO;}z+hM;Se68}g>xZ4-o+rLvgV&V&n$+`jMDL$w!%3|5#AK}UpUfL1W)$*T#Xtb%8F_&<5Gl}LJ9TsN4y`zXS-;4g2+- zte;_ZGqc=B0H5qDqaJjgdxaiMxioBV{LD&hCm$nuhWIpg)@twq(SD!Z>`j2O$_quMM zZk=SId)DsVrsG%`b2Nl)mdC`XRWZGO4QFB;@7?25B);|=y3Aj0=m%?G>jRQRUz{Dk zbo^WuU!-aEsJlbzuI~lC_iwKubyh%RPg_+ndMO`HFf|k-=#`=6HVZK%Di!rRoy4%Z zpg(uGpBPQsayjE=VpI*u&@Y`ShIRgpeueYIa85LMX|_a+muvGbwp%X7{HiDR9?@+y zou~X%p6a9esXc0+;-UCVc5cuA`bLD6CSe`eS4Ftzr0o=PNQ6gaz8=!!&)Jl3|z;DSPIcQb@oY(+X9^Sop7U` zoS&=ZiO)xB2yo}V(xOl4e1z?KF?7;MK8#LU#Co6R;itN}#$XQ~Tw@Hi-reD%s_WJh zhe@8P^;PM|rpFvK%a*Rl6LPS*fBWNuNIftyKhX!9 z$L_8wUm-?Lc7mWXO^mtaBekS?Vl3($`Hpu{jKiz@J}Y`4hS4b3ip6il*grRBO>%=6 zZcz)>)EE+2=B%;5&|ZT4FB$B+>Jo^yUs`Xj*+$cO%1`B~KB}MEi)gh^@lbqLr!R`F zg2mXL`7+AfU5xPZ$qD5{#OR!>I_HO)7}LucC!aqf@s(>WiZ2pj$M6w1o0CL1xG=fO zF;IjH)m2-<$C2mTO?{HpMOc#LVYK`(IWHxnuYPqE;-k|kor6^ZD1Y3_Ix|y%#smF7 z`~2X;{`NqVr7QVJjK1zP;Ns0TT3;M`b?sB(RPz3+zIg4$Q6Hq&9XuiIC_z)fw$9s3CGc@S>R~xf zg5g)^E-~_yAeOga_f)Y2LzMR3Di4+5W1sp_;fo~D^y=D|xl)2->%7f^)=1E<;cTaU z>m~TK&G41ZhBlhcQ+_H>^-=xQo^PvtiihHp=T(`-y%poJhlJ9CYQg(5t7 zH76;~Sp9 zaImrc?bJ>YY#e*o_o;R@3&B6+Pp^>pV)vOlQjpDr*^)=)_q3SUlHIS4Il~Wk#_7xI zFZ<#H`bPADea`lvzq)ovy&8}@Cdest`zB?JRe5tOOd1<>C|Y@M$>u9PvxmTs-N1U z_9-5UFEO~cQhl%l+wN>$VD2Wt@%4Ql-ycBs*Q002-;^Y%Q&+<-9X929XqOvE6vkNNM$b}gX zV{hKOwj_jy+jkt7z9IE^pYzGh=@YqFpb^J9b%=xUT$K+ZT@GRz4~P`^pKcA=(VIzp zt%;f)DJ1tF<_YQ9+9~9|>g~3|(_cuv70<|6?dgYwZfi24_xM7P+u8Jph7@CmtT-{& zOp5IrSH``76xvl6rTbY@#1(~&TN)xoyVz0AtVL4v*cWavBwmV)T}8Q{H%cK$nVGPE zyA+$vI_&e@DaFX>`#T@(YNP2q<)`vgAJtFoQTr4R#rL|OwkH3bV&C*T>~c{8`;FiF zMU#DXd48nF|Wc^0YN({Z-D29^i;NUIi#IPS({Co5!$i1!Y|_5#Bu~*iGM}@Q|#AGx?W z+)22D$;F8SURF=YebzvrZ1Po7dz7N`-K}UtZWyO)PD#I%Xh|4iCxab z`E^(CsonEK^^X{XQ$zfa_5HP_FhPo+Ung6tXG>A`=~>OGaw!&m&p93TND868Q;P0K zDIPx2mr(x_BvR{%1*gllGO0hCJp~R|>6o$t-uASOM&SO!k^Tn$Y%!(Qj zb|hVbFuyW}AvvetBn=;FXd{8&=cvfD9VF-w!wDKvLGq&>u4^Ql#7If^m=?(qqt13Y zJE4~t4FjrT_dX=`iE+1Q)g=FoHVA9yO6rlrb~(d8k@Io?rsfSb8-=)oq|B^#LTsPY z_ZUA^02jf;j>h-+ct6kfm-Ylc3VVijo3fJ!Rz~feW@R2uY-#vnPVPxZ`HURbxrl?p z+L*P6NPLw&@=zZ(gN-3Jn)MlHSf~$oI61TjITsfm8vZ1Zi7p%Sxp&EZ)X>!u&kmhs zD1Mj}cYCM|^_S9F8(d|WvH9(FONk8LWmYq@B4qHI^<&VBSQ!pIvr4btB13LdR=;%_ zGK{g6KCj&`!*uuM^`8&RaKK*IW#`d0n$A;xDo^$KwCbPPYLD8dcqqQZ@x_e>}^rI=w8)pHhEzsMb`y9#NLcPDb*L)DD|-WYCK%Hx^xyK_`Q` zz5WGRmx3QFM*Wb%>B5-R1GMFEsEO@+ytf?h)?LbZFj$Tp>)K5TmV{1Xvd)c_qra+X zXUzCE`mgy`ekxD(QT^Rp?NR#_55-scGN$j==`sZN8=;%vEF<43W+kjKlHsP=uc^5t z-e2`wceh)a6gB2+F4&mVWT6AzB*D=ec)d_DJB)W_in2N4S#t&Ej8@C{x2ZZx^)xMI&8vpboE&MyMj zta!@AihvoJ=3V888X0`pb)+1;8q1-*r^=yo>FbBIU^y~=Et_+4nH;CzyPwi3r6c5E` zoPKfJn_3yHN1gVMJu5?(YKupGwvlt7#5K2Kh74UZD%|$i$}q>Uc-bip88Vsc63p*N zaqx2GweG1>1lvr=kCsYdX4-G}rv6e~8u;yul*F4X#qyiVZV4n=Zz|SEBCyP+WT@(k{qGJCre))ljFpB z)u1c4?B8S`}D2b zd&-f}Up?yj8yVJb>t|)0FGKoZ=hR)%GK9s=eLKfphK5ewL5I7M^I?azIP|U*U$0cx zUfv=_@rR+Ws+m&Q-`aSgTt|vU<#V=dxF$iy&)~cARU}^#vF1&kAc3(~>5Unm#VDCD zb^EP7Vhr9e@XZ#s7+Spx`&}n>o6nU`J=UKPAwp;R%X+y8i;EJBevb6k5(=i?x+Zl7HN`3_`mvMNQDnC|~aV>w8>a5Ki zSPp%5WoQ)}saJcRNbkdj!IH(Dl)C$4-RU_$r;qW+m967={w#kSQ}Wll748rFF3QTg z68sUCr>9!F(;r#Gr^}6U{c&F>@6&-&e^k~NjhA2Y$F==mvaGNBBXzIMp5Zs!XgW{% zsXW!^(5gSL)gHA^@lbqybwkIFu9IVPNy(~#Wpb1x7npn`@m&M~SLx_H}%yyrG-n_aeQ zImt)v4@%!-EydyG7kn;#lAxeNNnfoj2`&jc?ug+@FmA-+jLDrO;PrO&nqMr&=%%N- zrqjj9YyUW#r!U4ugXxC0XGO>nkGyd|RD>?a&u*BgFM=uKsLj9_Ay)NMo_y%009!`u z-EuG{>vgdvRy~-H$6gQS_0Q$OR_Xnqf@Ut5uh-ms2`)@lhcCIlf`b&Nu9K24vZ3}< zW;1G&KRz1Q32znnlY7@3hvyIc5$L`zdCE6`40OEIjnORtR3|%ude`>V&yhndF4j7hyeE%5 z8sxP2CpiZfcW!)FEW?=*Pt86>%CPCvp&ck#gVH0#xKmT&Xf!|! z1Mi{tq~t#IskqOXn0X@D2%f2J=}qoWFU%0}$ajat>=aABBR5?>uw>&s*1 zze+g)*nZbw`uB;ICdTOEnYd% zA7b}B!&1IKo-F$05pQ5VPrQm!VR0nL6P^ z#RCaK8yj@hVkKC$`N{elmJ-;;{i<_(OzuZh&ehK)`J(ctb2}D~5Mza&;j~$IMM#jR zc9kt6=U~U27eS^XWc8lAaAblI>z5S_>3BW&XF<-rpf;M$TetF4 zd8&`<&u_IisMS8jL-Bd#R@up>ll^3(Z)!Oq0M492_ItGgp#0`dz|%?+_g2R)b=={P zqQ;WTMLjtToTfRMUXx+8 zlUj7xavAwv?AHIDl?)Tqw))I|LGpYHH!D7==Tl?M-XFG?!XZ26SbUuXS~Zi;t0YUX zB5_Zg1%5IVn*&Y0a6-_4br;`u=H-@>U5IN^H@qlsy6cAbS?CB6uI}EBIjPs z(F;VHhn-LZfrx*6zi_QQ5K8HJLcOvyg`xT+u!g)E=M$5#WfualE{ zbX6eq6Y>WYz79mz>2S-)_knnC-K|~G$2OYIQ+_H>^-=xQ9<@*LOl`$?`$@L!Gr~` zzpH#C_l*bB20aC-+hoCKb!w_!xcVv+W*ozY)EB)suF~fe4y7YGlsoKy>wKVo!e+ z2;I!E2tD;_FwL$Vvu?mNyzCVv%Cnn>xQ>%2h5Al|k=lpAJ@RR|#~zpKI%^t=I6A76 z=1s%1zB@SS3)*NpPx+}l)kpPHd(=L~L-GBx+%qvTI1t8j>(4}v3&bP8wBmZzK&;b| z4eNF_0HFh(jMh#HKrf44w>tXJU*9*XnFlulp$CzAKu z>ZFjpJHC=SLPI6<**-Zc@?vAmd2-am7Y@kMAa&y5UB^KKcT2t$nHkH?_K2nE7@RzRbw?>o8v~rg2PG)3?we!dErEx#r0>|TVvO9nd3sQa z7>(`?H(y$d5nI1u>^ZVtzTsM9jmUbfw<>Z{HWA_4wJTe@EEl3e(4~0I8397SZcN^z PLgH*WBX1S?e+B;q9K^C? literal 0 HcmV?d00001 diff --git a/tests/ref_data/lngeo_isosurface.nc b/tests/ref_data/lngeo_isosurface.nc new file mode 100644 index 0000000000000000000000000000000000000000..06ff09bf447231d45cc75a62a488b21be57852d0 GIT binary patch literal 141557 zcmeFa2V7N8mMu(DK@rIaC?X<)Ad+)faLGC6oRj37^TmLQ0Yy;(5fl*-!GMa0sE7#> z0|r1rK!O255fs0JT)XGJp82N#{ko@Trl}v?b@!<{b$0Elvuf9_LO1Ja=`3B$vzUgS zp6Yk{Nl6pJG`}uMP%>sj2cDbiX<5)P*3t<4x<BFe8w^R zNkyeQ2UJuGe}AE(;#fgNM@Y2PRR4D!zva0)x@hO_v83F(kazYAHQk)5R8;gq?vehH zQC{8$eqW*7K(&x|-2RvPOOH@fv(Mf|LrqOxJNt!5zmb-GR$~@^b*edofJ$ZwmCR3~ zk_Ak&IkfBlY^ceUIh}I3=jzxs2Y+hI!vC->j2g2=X{p$$7>QphR}=3@PcI)CQb)HgM8wIpd6X;U!@&R(abS}=EmiH5QEukwp2<%2?keScZ+SJkvcNhU%=qUzro zYWZ*S_xe9|BW|5dj9Rn$(o!uU8Z_G^9si&p8~30n?|;{rv!?&ulHWL2&twV})giB= z3+B3N&A;g?hq(e&zwvMBDoMt;riow7Hs+^b8rb3E@{q{u(2$CM2`)kWlaNNPl9G&5jiT;&-;fXz%a{ z|Bzr+DY4*Rqfu2xTv1#~%+Je5R#j45Qbt^w6#dGCC`d)+=F>O}RQx`Tvq073J%>dU zbfX|Y1$(?G`4n`cAU_3rJSq7UbfX|Y1$#Uw`4n`cAU_3r+$s4KbfX|Y1$*2m`4n`c zAU_2gUFY&a!A2K~OuXRMR;*)r5k^6f~lsAq5R6s82yX z3hGi&hl1J^)S@7Xf|?Z6pdjXuN}YnL6jY|5A_e6sC`&=ax-R1QE)v4#VIIBL1_xgQc#|PiWF3)pehB`=P(r% z)S#dy1xXatqM$YfbttGyK|KoUQ_z5dh7>fSpfLqaC}=u|Fq^|h3c{QsQxFyunS!vS z$P|PXMW!IEDKZ6NLy;*6TZ&9U*imE(!k!{i5DpZXf^ekB6oeB+rXZXtG6ms6ktqmQ zicCR%w>jC3f<+YUp&-9IC7*&t6zriOzXv6sf<+YUp&-8}C7*&t6zriOzZWH+f<+YU zp&-9EC7*&t6zriOzYis!f>iTq-U9y^3(UF{b6)TC^0_DMqC9BU!}+T{Mrz`wzo*CO z;6Rh)BT{v7-%h_~QB4&tfJ7NwplQJDfk#f0H+Vh!4Lz5oK}r^$+&tCqgj(AzqAY=OTEE=IZbW zi3;|b3(NeD^UU7q>Oov(m)&iQ+k z;A2#{_eq@a#n}`)X{=OIVu_=mgq41g-Eq? z@TU;rZ~2df3V*k_PJFI9OwHQ(&oOGc|9D7f&zAc`ab3zN{M~sJD-Lv)1 zrbTn`>ysuaV)|D{|LQ<$I$BB|-RzjT%RVP9l$b?oy5GZKrK@YKdw95eoU506r2E{r zXm`T29zou&u62~Rpy!Hq=WNxpKKg8g`TsqtJ3G>6hc6?gzyD3Bd$zl0)tfcNtm=$T zb0cdR5yvK4@#i46k-nuB6*p0enfRS;^z2xi4JH43My#71heVp~yV>90@@&~_H)Hbt z?byD{NL(aR8>J$~AR^vRD7%bGVpanSZ5?e3Z4;8V>n{!Dh*Gl}%o;GlJMzz}coE76 z&jwMc=x6iiOwRxBhVOqHdiJTaNi=;pZ1?DX_Oq#G>`Lkm>&o8@4-9|%=5rJ z56ttxJP*wCz&sDk^T0e0%=5rJ56ttxJP*wCz&sDk^T0e0%=5rJ56ttxJP*wCz&sE9 zEAxP=Q^@Yx_Kgr**73<}QVLqPB9HnUl|iRQk|YaIToK3D(Y!q`ei9>f)`)PI#Ii5|IF zsvjSu5eW+eBStyY$UWWXe?uNdmlq$gP*wzKS$&{Tyb@f-E?F#4QO2X%g!o2Y6|DIp z_Kh!71#P;Aw51NJ;{F~w-v!-jXuQZ2meR8raB| z&f9lQ6TGi}zKxP3{mneUWxO?>X00}+HYer#k7*%kQ)I};#oEYuU@#?mL<=9!x|Hpm zB*B$@RA%U?CaiW#y) z-6u8iL$80mv>pk2vd=C4{Nq2K2VyTQGg*902c1vd;#He<@bLSj)!AoyI5Q@G%=L>N z#wXuBI#jBSi)VLJ>4)e+Mk4hQOuvqFaD zuw+kHX25y{%)ih7JKpE{e*D+y#~HESd#n@E@TN9VZ(FDW_TI#-n}PtN%z1jD!x}jA zJy<2&Llc%~uEh9$(8NZIyaXN-63&bZOD2*@P+h?07<8C~qEFJ_@=8ds3#6O0C2&J) zLO{_`68c$BUveSjTu#o9v4tdDTXB-5g(zRzam3yEG{N&0&3*@-k}x{_v-AM37EbFo z>NF>7A@P}zgl)eT0&YDf33h2gNHI9d?~)drzJG4ucF}@+`GFTJb4fr`eWBewO$^%` z^l^G>qA!=#T+3Y(qbWwY+?O=5t%NmeB8~)ecKJq)<67{{Z&>RVsRQ;z9yh}YJ@AXJ zOY1E#!2g!(WXbGkT4cyYgxs!Kw&kJhfTJkV!c7QhG)fS!FzDpa1UjrqM?$ySMB9<4I zBek))XE@(gQyUwfdYlBCHadiFWm*nvL8UoK_|`)$1Y4gou5Qx;eejw-otIizY^{jlFf`dXT%4qbMXw)jIpJ&o=U0zb)_NIW-JXOhMJ_|sJ4spQU;az}witSms~{%u zC;R@k^E}R4;E%sgjQ0oK7H<)P*7FaOk7A^8G3>yH+4D^$UE zeZs2siwZtBr5H+GRKZuvOZS^dDwsa=#`AWRGTy%D8-06G@xQ!ZUx;zt=8V_Co25!T zg#^FW`i%F-HR|Gc+6&%>PCdw8mDV-Z)5p${hdVE2>O+%j$Ag;<`f%KRA<6ZdJ``6i z|5>-#0N;2HkX7PnQh@I{jFk)N>(%b5WETA zwZ`Ntz}`M3W;}I@%S;b@zZAE-d+LI*tkGwU zoDM!cUSW5pTpK~}(nz#p+PJx@zC_}T4z9fkJwI5Yi?XL}&Qa_1@FeoHejJA$tmTRm z(wlVQ#P&uhYKJbAH8SZ7HtS;H$T7PL4P8`hJs7W?r~|$HQ|SsXwIOMHbE5XU77o5E z4@ng!{Pf<=N_8Th68w|y)7Tpl($}g7Xi5-%ddJ(=uvRTJyB=j5e5{SbH9Hel%Im`P z?AqpDvL24~z0ulD_h+82P}_6%$5jQmgx=@W7*W7?zP1kwiSsqx_9x{l9?2ra+>qwu zCTT2*?JW*@B8gU>U;$r#f+uzjK1?I_^BM-s)35tV;Q71Ur3yw8xY@9kHDO|&*MGlP z|J#t`*3hQN7zwoJ2k@5;5&X28p-fgy21q}Xn5H3%{-6 zB}Lf!-`36%SH!~iXPvh%lt)#6TzKLkX#_vu$WqXLZY&F4g^-Eh^3{2rGAFKLlt0|lsb}a8!G)2sTQQbgIV;Cep zW2W&nzL1<s{tquN4r3F`>og1EBBOxWof|;6# zkMGHf>HSzr>_f(FvFz?5VQu-rLF?-z7&|6^Y`#c>{sc3Z0KXPy8c)BzQltd|n~20* zW^D*nyzYo8)P~cSC8MV$budwPq?hHA4qENA{QbCzdBOUwyTkz<_%@agz2zeIJ2Tih zR=EPBH3HLzrc%AFSN*^b+_NEQY~p5dm4SK`o^P+uw`DtB*3KeV^SJcCjpN}3K$k#)) zZOi4m#d=`r{obrDqlds-YCoe~bkT2n>r`yFCjO{izsrwbxUgV^S_WJvJ$1g_(?;E< zrBQ>>!(E$cpMf{}(BmlfbIdXXTaFMTb&3(%F7Q9BNH)fF!_Vd3Fu~}O2Yn{@jIb*> z>iCLFy5OM=qPcK|gh=l%t5S$_7{b!UCy#Lv=QmtBnYi=`KJ=DX|EcyLuL~HTyrG&j z7035)iY_c1Qcy^4Dm`B$iNX^sf(ajZ{-T}Ja;D_deBv-I%QU-^tB9&H{Re$~>hRd2 zR@C%H18XO9m`hqTp^)k0xoQguwQCv{?iSa=IMYC3ufG;T18-L^_aj`X zAXxLxFIW>}{vULB&S~JmWWtv1`+!tQzwwCYYG5skG4xukiufCmJa4Wm<9?9PcYng4 z`rUu?IBS8woge?Z*sql8OOw8^9IhO{W&gBN5!7ofNDDocaY^+=?hY0e{E%?YJkF?s zZPY;p{0EiseuKn`Wi-k-8M<75GqVzq<=T^HCXa~qGFdu3g7`lN_5`=N|gCUH|o7pua!T-U_+p(?KGEqj-8R1G}} zdEZ_atK-Y}xP79;vVqh-wJbAJ4Vw~e)JC^T|K0T7wy4PXRe%N}?N0X0a9Lm^tM-{4 zl_eO&A`bA^o5MX}(`L($W)L@jJ;*|D2IuvwpLmHnLB5vFo}J$gz0G5fjRLKa;hI3c zRc49qt>3u?f-DfH#^qZZV2&pu%lc$^%}{e}^rLF1F(fMDM-SE;VAolr*4Pkz46&;n zULC9l!H-Yg&wS8<)`91TJ2w3BzeCyVT%5{vgM^?XRFC&R&;bt(PiYpD4vvgQFbdw) zfvwD$W8BkvP`Uq-HI%~$8X?;b?_Xzv;rALBKTDdT^ygVq;nSwrwK*#O)*DlNlqtXX z;EO3Po_aY@Pw3B)JMG`+Y6hEwDm$Gh8{`d#<_46x%t9CLHpNp?8s$xjQvvuJUf9`;o|nA+B? z3)zOw^?MfTLSUIvek5Vvos7{}PGoE2C0VW2L5|pG{ZQPHJEVm*o2(A6KSTKWSH%yz z;2$3+{71dVf3JGE7U!M`w^9P{x<{Mc?kb_jIqB~A9g5(5tXzLhL=OEDlcwLlasJ)j z>%W)Yf3%*(>Tao3l3e(yAKY6#sRF_JAERRf8W6R&yC&#JoKvkE(0liSgd{=EhLz_@ zm}$MU%5*6S7GcAu3<5R4Gw^u(y(52o-tM&b7xlg-0s9C8_D>m#5O&IJ(_W#58;hP^ zcp0OC&E>*h4sw#P+fsSmXCW=TWMU%uR%)Rzx_v7GP4#~$X(m_#N zug3d&9k}NfjS4vF;_+q9tViEfzoSu?Ex3uF!|f*4W0%R4Z`93g-vS$xPZaJ{MMFScbqfie7j<|JN&KHPJIw^ z#hb<#*WS20!dSELJJWJ|^tqf8rQc+W%ABM}AG>XExcuc-;}bTR;1^+dXJi8dwcX<3 zHP+brIJj~ryERPqNKK!*YlRxaZ?qnxR>;ob3h{5X#@Vv*Jsw0oUl|oP+;_G|fJnLe zt2PJp^pT9I7kD5q+ISQD!w96G?%9$P7Xgp^+8SRaHeve~&MJ$qrtn_*p1x=W!Na4+ zCEoSxVf0RhS>A{qzW08V$R5;#N8QVvtR;F7u2mJ!YSe@2x~!X9h;!LoAB}unqx4ba z{O-&)VjXq#fTY>-rv~WYead(3sv&e;`}tR@7$UrH$mD@9abNzmp5)X2`F_wJ<%9nz z<^BA=vJbDulm+%4!MO3bBkV^V~D9$(3{|^ z9Ya#5H|Ur{fThtsi{LB8$Oo;b7wMyL*H^g?A`ZEj^Y|7EZA~yAm{IO0*6|bjz8wqK zHpRIcBQqIPM@1clW=e#@jbqGAW#G`hf4~D5?M*7#q!H9n> zz1So@3PveUt;W-$&~R#RjnG6SEd4g}Wq*u-zhM841t#G*-qrp*ST7XMoG)`-9u0!z z{`hy!D*kx1?a?FM>u#vOCzWL(;fV1#w}pmM_9!@L%BEFd3!&pvy~Vq2aHNN~vrfnc zsdbOrj`rH%hrn`Mi!NKZPbD9^$77G)yg#BYU-bxf3WekalZKy5 ziTQ)vaf!ys9de5kgy17C*dG00s-L_Gu_nT1cU+>uUwZEpH%C0GnDmFI zHREw8r~000cMN!}H%dR(4#TFXq5jUDKCtj#swqO{333}td{CGlRG%uZKUf_J-V9TY z#Dg)&*;p`%&KT5W3@(YYkHNvI6_@CIqLJ2uxa7h}NRMrJY*Z17t=qUJewew#qI{z4 zLaGZY(pQFEk99&Km2S}hlOz0+Y0db)*dxS*HhGn~J!m{GjviyM$CcPjmIpTWFlD;3 zC@#PO^l#alqC;HpVN2*6>1tm@H1l)kZw>~tq{hHhNDP)g3s7gVPJrGM$6X%9$$v5a zE7;i7uS`YZc}RUBr${&|`iC_(8HOO=iuB#&LlCOIM0~$V3c%*OSH?}e+)!$_&q_q&5WKD^a9*wSKvD7UUNDO-(DzvaZ8v_>PO-K2jte8CV+j&=2G zi1RXXCno&m9fbcv52|13fBw4uZ*7Olho`R8veKw(`DmkRNdhTn^-?8OP5iC({j1#P zb&z@G%B_abXT0Om#cmEq_3R`sPfOfkTV`MO%?e_)!X7gBZLpgwNXDeg4&;K7hBX&tb1q>J2 zJWxNDC0*Cz2DPfA<0X~YL~ zw0mHb;n~f~K~KDU&$(mOVNb}^3A$-XdSYo5ZQV$j4{~^xcWG9K;|{6u{H~q^&~TeA zNjR5^?^l-uc8wttW`bn#3&N3b zy0E^}@=heu4k?v%5okEz6d z7DwW>7}f27l|InOq$}U?#SPswwRcig+~Ae>R_~C#8`8qn9(O9c<4#cMwS0arl(=BJoGlSYmY6=KTM`Q1)R{tSM-N=>qodB>Vu58o&*HtSjSwE}_w%i- z0d7tyY(BTn5EVC#KC&nn!Fi@5Wm3!tqw4kSI+=zzzH#hmp{W7V7+ZEWZqr5I|Wt&i{PfkzqV^wEC7N25Fb-WS%v^28=29co<`b zK8IvrXoAdzM^0aUZi(4%+jX!;Eu(Br_e7^=j_1KJ#>rbxg(xmThK(l>Vg;MVg@6` z`u^%(dof`lZ>;4C9uisR2lvS{7Y1YeA#L_~!cQy!Z*8B}V^;udS4uQ)j#SI2@Zm%OufItI;2uM#)ii9v0x>_tAqIG8=Z(;NOd3E8F^E@4N~u%m3v zfcD1>1ceD5mUPQP!{rB0_0DDD`RdW#`s|sox@frTY)L9KuOHl*=NAv|!pi$G<}tWi zx>RCtO)R*6E;4TQO2FD^p3jcdrtEXL4VdsCT?7C1Y zcpSNT+e%ZgEb(2&=A2~gexwodeSI=oME#zwYe|N0X?TU#!c>%$yY@Z2lnVLp5v+w) zY517;F(Bqy8oI;6+m~vm^`JJp~&E!jf-( zzNVwUgU)XIlXSFSRB+V3m=2Ti*hcL$=@?qPMKfqmI>vss#fMv_%&&3t65J^Vj<9BkjVH34g(Rzu%KTihR_fy^38S zIBVoIHcs+{?~h9*tEw%L80hOLy2Bg~ZWz7FXE((U=HA$l7Gqe`y;8JMF@kZ}#Rm=< z1_)X0r#g^ph+wHwo@xgpFnCv;xGiFgV58V;D))?WI!$F{i<1e84?HP|S2smMXWb$p zc_Pl|%=r$4X^K+KF}D%DxbZ>o(Z2 zHCA@2*9xIp;onDzxYMos(L&;nt+87By>iq78%V6by6Ejn8<=eql^$cYLG4ntDXmHy z^8Hs|xXSSEw{x6?E%&z=vq6sSYN4cpP6AnCfkZJ9n+`_N&`r z)F+guYJ(ka)WnI>8`|L&gY(QYJA3SHdB8Uy2P zAB(+$D?=Yq#bJHPmHVeZ$D!M45AAAF0y;Y;-U#eXM1Zi^#Rb%<$XvZ&;(R2*ORL!0 z4@hMo{WzO)WkEXD7)rRWO-hH_V^%QKKQLbFt}Gy@UKL@a~fWZ>d98t*!TOw91a z-QTky3(K{eUh{=!BO=|a*;_jMPw(?~zcAm6Ckek=R z;&CZTq*u^B9u<7uoNa-`dO73v^WpcY*zcd94PsA{n^ zg(s0A^~ssHb2}M14;gw-d6Hq+rn&H3Q=Ddln%YMnpuLZ>DW?Hy}~~w4F~p}U&8U0SYONxeG$K$3a_jxTE!M( z{t>UgdZ|AZ?^1uft03&)6w~xHgh2b$rCU?`Qc+rGLuc8V3ZacunxcD%`De4no5lL6 z7+8JG`@~2Jj&YD5yBMTkSg~5au`U@JasdWZzWfz&a zW3fHr!i;KL46bV|l-hHN@RP%olbu^*;4HN~>)f(f>`c}xthxHP^D`4mv}xr}PXvi+ zQtJ?Wyyl!+tll#>*zvk{ydQ8tO+fS7-9%jJb^C;@m6HRWU2%C`bixr2p2SUAmpCCP zej0`kuM)d2b_hv#Web*cfG*4DSVuEQ+%{(ypIqz!^7&S^W+6K? zTD{$vcH0)&RbLH066H%dJ#XY)u}39uZFal71MZ%Cp+0@y5h5AqaF5mnJZ%q7EGOQ- z4Ws!{=f&N?>2N~o@)Z~4QM=m?6MT2+=pB!Z>2|pLWK>f8rVR#KeU}b#+rhcgfz7zs z5!c*?+KbbjVY1CuM}*o9@0Z1T?Ktm-AJe5{i*CE2?Cia+bbdG3*W9_9n(PW^eeDBN z8E&8pG}L@9;Ero5IogM%-SH`!s&BoiJ8o*-{dj-5J9b=m*Y8$xgH6x3m6N=#7_)up zaVNqB$ET8PcYbljxgO)X^DQ2*7L?37{Kgy9gRV6DJbl146+N>r$qPq!TztB7n+G6v z{^3hb5A5t$+|8x!0foma-*n#hAod;f!W_Llp?sQpGhLl0&UNmPKA* zsO+uPzvPL^pUU}67d#N{{?#J;t~-{oE1XOwo-1Bw%xNv?g{{Us4a1#Yh*`WMQ}mq| zE(YdUGxT~OS<}_1LWU9i5bHYFi(Px@2hlE3efN6- zc>LPPG;Y-=Djc_7{TTsCp3 zhK4t0iZ+xrmUyGkl0Lmn-VcoXon2a5gD@H9=b7ythLXEwK1(JeQNBLfe;acw9*U)e zcYDU;Nm%e2yVHpns|Sz$STY_IbD#U@lnMp6L>yn6hMVi?EUYWjV4{C`3uAK{Byvi1 zJ1-M{?5Q0$v|H0~ejiu#adX1Ii$4_HO_vF2?!7t%tyxg466$WV%f>?CT_<^3veCKc z%>h3pG7`kL-^8_S_=sxn({&p|1oFp(qrTqWj-m;EmuEziM-TWseyy&U}1c<%aED+keT zd-ZBJMUIIJNDAeDGQIH?Fyq8Wr6$i>k^rgOuQN1d$xT|CYCU*T4hs{fsYa@*Fx+v zU|O^D@*36*oU1?c;!a08?k|yOrX}V*fo~Dn;_m67j=7^cAd`*@bXqQPjOpmkdm5+E zmxhkJ9!kQ5e=l2eis#_RG+2%m-#Gp`4b~gF3*7FcA!PjWsgT?>yn4hayjwR7b!sX; z1;eS>wjyu5FPGr^tJf{nl~Tb$madL?OvG1CmOOA^OTn|NtyT|RlEC}Diq0i79?M6h zHod(Q2eCZrv~2GzmUOEwPgeVX26r~mEzocGhzc6E?9 zjxrI0YseK3^1ek_?smmV*RG!t1V3$%sXg2%?vC~CY`F{QJn;D_bz0e^2Lk%H^sLwN z!r~@&jp(G=b)J&GF@rDa7^by~fBHgJQ#&KG!w(^^B~AIY{c$;u`FdluA10Q($X=M{ zi(@7wudMWau=@3}5Eol->?7S@mDlKnZi{waPEK!>Ic!;5f5``JYur;ZAN%6o(d9vx zWqfh#>QB?ky9D2?;=8Y7>wz;02Zs$R-0)qg`VPZwSI8drwy~#mgEDVKqE?wZ%6o)5 zWr96XShsJzx~doCI9|N=F7tvUcg2X$IH7-+K?c{a$vlD#7 zUtO!<8i2N<-64D5`XjRW$VmN=KgtVuR)5;=k38SawH#G`Sjym;ZOiJ1*T=4`+2`Yn zLUnDWeda#sRNqvw$j}EKXK9T>2YgVfJNiQAvM*pnq_%7?s` z%8v(q%uOl-%Q%!K6k!hCkAahge@*acuuwnvP|X zdRc0G8SsvG-kiKF6Y3q^Jfq54cwnx($#X0VC%$Zd{zE$(*24^yVXA7)ETme0nL zbP)sb^@P9Y74&S?S`$@f%@GCtELO8~v$;97XByN(8BBSPo@rBwPGSrR6;??$&kuSjavYaT# z{Ge}8_y8Gx^qZDaT_l6O%|)IojtoaCrJmTyKl{&nm{~t*X_3)xH@=gtiqP-yfD-GS zEU3x!*CY}Cch&YoFCU4f!61g3xhEqF`7O7)1Cp~5K(~Hl2WJkNySzBIugbxUSd`5f zs~nuZ{eq7+BnQ{0SPTp{=MekS<(w=>av<@;JL7(J4tB?>ycB$pgNNA@Esm`@2yO}) zt0C@teyGR6leD8MKOd6{LIF5P#Rkbt@_x+mx>{ z#_$t*RMm;|bY>yFIQ`yM!jJy+>0$3TYa)JAkz`RrlZEjHfrYkvGEuc27o(gXfV<)z%n}BH=ndZ-fBAAC6jry`USSJDe^ssV?!X}AAAHVt;6f1AXn$7Z zY6*gq$G}9^t{^z-rao6t48pRRg8HW%LHPP1gW0$w2x(uJiJ3YD!%_0~yI|!|+_~Mc z#cO#Oc1aJjtzHz0+7D5ub9e&aVBopB;I0pZxkm4N*yM}M_A_~>+X7I;%UhUa8;lsv z;UqD;P`K7x>={Z6gYf2_n8jIPh!Ax&T5~HD&Z`d6XD{&osQSX%B{o z?kQS7V#L=_kS5B%%BDcBeHOuA* zJZTyqxVk6;o6Z_&L=)wYu^38S%8kHfmrVKi?ns317-tw+6@!+_k{?}rV(`lSWOvi& zC@|+O3==PjAoeY~D{pTPgIM@Qll()WFrek74`B&K_8w6l>f&Jh+={ftIYAJ5?XgRq zEf9JM$L)o82SQCY;&Ar1KrGwONWZZ;5OMB9q>gt%h<+ixn^3%3svndc6N!NnrQ6RE`^;P$##T-m5q{|1 zhN64j2{`rfEN4w;0!R)9p9YD2imUq1v|KHdV3d>aPSY+0f`i3=*OQ3x?72v$dv_|R zl?$ewWr%g-g)&c?{1ohATrh3^IvEi(B4rju$>1~ZICS1L1y(N$cAW7h)}PZ z$!v@pM^;4CWkb$iAlh+;;N5*Isa>v>G9@3ZKy zaJ7&j_*CL{F_C|xppl=IC_nf%lFu-a45iK2gq!lnnBGF8zik)6)5+_ly!Mf?Ju@{d zu$bWMi^rEMmXV>sNfUbh1i|yvC0nGc$%wyGaXa3Lj4r+U?T2^&nV&zn?IRDkktZ(#ikr$emHqz(mMy-BTXcA1;T%} zUAfhl;N#Dv-B&gikW9Yy zGjX3|<+bAunK(+Dy@XRE6F<(o7`$i91jG8gP1PqepxG)Fwn88SLTayWdsh*0lfJs9 z6e7-@+wp$clbJLyhT2T*CgT4`QVcuTl+*A+t=g6QRw_ubdS{aLh`32i{&aP23Ldw% z4YBhl!(RA}*_oO=kdxqv+PH@2H$$MrYEygncqpDEj!BntK(Oj(c@ zg)C9pgFKnh$e(mN!}TQ^4Y3NRH`Yes1DCX9;Ky)uSZ-L$T11>1GG1J#c|8WLo7vvB zHpRlum`8FVE*AHv+HQ03$KvGo@4cnO`I;*994yO?LB#pY=-bvYFyLAgqq;Q)KMcbr z9~1GTk5Q4l<%?snNAgtX@UB=4JzCkV=Mo3CnD1>a8{?t8i{)PKr+8@I(eU_5%%7t^ z(&>4`K5>`uM#*P!)<3q9p|sT|NpQ{lZe6TE^oO+X_ly2XIMI2~v9KWt z^@?8iPSqx%%JcnWXJUWZ7;&Tl(FC}YeRC6!#zK5?;87o9f8EGr={9y^pFU5y+fRN^ z6w=PJ=QVtd#4ArJQ|Ipy*f%J%l36SY;}g5$KJSi2IX&Cf*9r*`I5APJ{f^kTj%@Vm zI*|f*&$Sh7d(%MLwQ8wMSUSXxo$Grll8&5%Y!Tl#q(iqsLW8?49ozZe9uzCjfWyme zQALf!zLeNc^7k8NnPzH}Y0e7BtNr~BR36cN~N;a}6+x-SM)=E@`rdx|K=87O!i3)SzHIFMuzb;m zi`h8O#=E#ACmY67t6QxtvysOhdvW3FY-o=1-5ngyg4op|4(5khsOx&=eyEo4_oIIV zQ6D14m&n;dqwFkPxRSBybWj$mwFAaUhFLhOIVo_3pNN-RcDXf8W+Hr-0-wv{OcXV> z$#KtvJvG^H8th)wxf81+A#Iug6G~X@@O+zGY#?2P0G}x{_T>B+86?t`L=~$48 zTOH!x2Y)7GLxYg4kYF-$4!zPhznKK%xa-Mf+aXf@vCws@}6Y$9D z>eU-k33&7AbPQi_Jbs8?Ojm4)Lvc@j`9i%o(B92Hy@DK%?%f^CGnNFusejv~+a3?C zJm%e@#JMFR4j~sx4WD0% z!@AnmJHtxxC}q0j-rNyw~fTPQB zzh^lGeyVFfX<0-A8@8C*nE@I+t-V-y6XSQ6ph7O`0Xi&r*(g`xKHU8I=NpBGOc==# zeO5Y*u9&o8fr^U>{fP$)+PDKw zMIT{7!k@#L(wkYZImFxPlK=|@m9&!7_*vk!zNe!`kp(ZeMdobWhB*D}!Qw|EEV#05 zP-hj!>y_)fwxlaDAta#4*tC%W^;f&{$jE0eM@Q9i&N84-t}c5I;#ruD7x4n}Ll@gR z$HaC9yf4kGmq1(=plYvsgP(VM+!C9(F$VbGcKOr!lmTa_Tt0>&KmOPINl16`RsLsq z&V=7+vqF91^5P-QTwTQJrnmY`#JBn#ha7y2@%Lp<9}7Op0FY7d{YXSUO6QX3L|*?u z`mh|9s=(0GSf6XB5GSXPQ7)|cxButw|Gm0oaE%f2f5jhrm+!-K!65CVkr;lTpO@~2 z#bz_0v~|&JM+pNgSjC&O9y1^(didoQ{6Abnp|4xL@&8%V-)-5BpQ|)JLTHu_v(2T^ zKM`M_RB$C9zD|dgh7J;CMRZ6`PAk^@L3(v{jB#4w4Y?MwR0ateDAiDjsAwjF z^N#qQDva-LO&(H_o+rSxEw807>TCJOf>q2`5LgU)D!N zLCBFw*B|GiKuB`WR5d<-;BMF=?X3TIeExg=d142CjCP-cUtlPxvLyuW%8a-F=njD+ zmt|!5r9$D%p6IT%LZLAKe0@RDLap>T+oHOC=^!Pcs#pKC3{ z!EeMRssnj{!M(r_rsYJ@)!r7lGAAC zih|V#SMnUIKp)H}>FLuEkwDZpQ2ui+5`-@nZ9Ysy9@=Aqv0ecwWXlAWzeVymgJ zfm?FFGv>jqo1(sZBM)%Z%OOpC$9Vf!_KS^Cs7ER}G&f?Nd(-KuXm51}%(oae<|1n- z4cnThjtg3|q06|Kpu3t4OrFh;qDNUEYR5HJHN}FPo*ef!6*lDCXe~YO$cEOddIRrI zv%$})DJ2$vzbZz(V#NG>*Le~{1c8DN3urp7(iz4(3dyJtJ` z@n$#uFGqV=z+6Wj_Q+#FW9F5`58YTmb{SUvF2;iEn#_;>-&Lji;H$>fx|a+{?D6;@ zhWwJpW94;)N(Lwmz1cvkN1cP-w)M?x1}Oj1x6ypYfKH7!C%2*) zll}fJZf4KFyH#sM$9|KiuZEH7;O~F*)5tI#qBfLI_fFB_G-0*6FdqYUM2I}Ojkv8K z)?u6BjD80;b>SEO-Mn1&JUEHx!`vvhH|7fo!;M#2sCR_=724eSNr$y|YtJ%b{w<%r zEhDu$P?3TDw7#c0ZVV7TyPR*9!2rp;=KH7O7*KR;rFHrN2F#e~JqX10WYPH0uJI}z zk}}_&+(V(mQ?K~$)-XEk0X_vg57dX|AHCdgiVm0b9Y1)p=&)+fP6?5xbeJnGnzzCA z`L%C(gD2|D%l7JO>J`x8OrOb2O$PF0QU0}W*>u>N7_cV;b*I`kGl8Z1=#aVh+4)K> zI(&|fkhQ=#>F6or=#%egShvF0k#dg)TxXUm=f~1OytVh5lsgULF1E&2>C)h;bmPU8 zc`DZDt(n-Pzyg7*dW-BLTLaH7wn)>MKDbM-549q*t3zlq?L zp;!u>YN))!(WAhcts1FUJIG-2WNMH*mJA|hmYrsHWLUXcV{@t~^5~B#!Mfc-WKL_6gP;A>yvb7m+C+V}hIo$HH&PtWVd^byB9TS)JZuR=XD&#Dg*P`4!fb0fy- zaU0d6e>p@#h=-cNMf7#vR1R(WkR1hzPpZB-=@1}-t3pgRhXCf})L zC+$o-UcC7?0kod;Mr}iX%Za39x;f@eQ*xhLsof<&#+%DapAiUxFaMJi1?KK%g8JO(ml^Ev zbJ|3JM$&Y{mq(~4B_=#|@+WN;XFO#Zjm^$QnF8fRI6uk1lo!V_PQlIAF!{cOIAIfW4ZN-yL}lNbQkzr>StDX7}N~OhtTraaHWk^&Iec zo#4$eK-?dHo%C=Y2ZFpaC&>03*rCf*voPm?Q)lEi9yt!^c&yo~_?Zo^>DxvFlG*Tc z`}zwM2R4kIX-mJR#)cu~)gl|#vf=J(7GIV$8Y zSgIPn{~9my=H6dbcF60Q6uT$X5Y$O+c<$`zV}J^6(}#pm1_+C#S2iGzRVk^f8n%sHmNgb8;S&uvKQK)vH?>(ujHC&v1EzQP z^r>w`-L`!w^Bn3cQnz;Qa^H{7-&`}Gwv~bXi9_s~k>7gqCy$u#MV+D|?cHs}Rjz<` zMknIm-_H?vwnN~p2m|7+&h)>qWI*Q3fy`6L$M;MK=q^XRA6MA8Wf7huLtZ9v_IMuH zYx$1|zNbU@cT!1d935_|cOI*Br9*Rs-Sy&=bO?%&ow^c02c5zX{KLqDMdpv6*;Y=6 z`NCDBN@JMstM{1oLOnzG=txiEH#)4}yh*qj$A!&S?Y3U?*y(03-0Q$Xi_kS#L7a+l~?35^PH4zrNzWUCb zBSP-^H$w)hL}(BWKVQ&HfVEu|%W8iDd^_CPQjK_bEp_osuM7dCpX*cxS`gs&*gB)+ zXaeMIc&4f^P5hVZ`1gALXUBc2LhrWwBHw(lOYBWhBsl%H;pkq!s*d9sNhBe?at&^;n}A5b!z!oSaaRd%)a75@Fl(+=V2XOuOnYZwwIL1z7n z!~RD}5VplPSUs8q`ZuMN_z_=E$~B8RIg`L^vDr}51rjLKuHtq4js6;W&z!B>$q*{n z`AFK53})7><;uv1mktEPUhqbLj$d}>vdd)1&KMOp#OpWFJYp$~=d8qa^?T0{Z+Eu7 zYgY0^oEG$x*t7!u^UKm4pQ3Lv?M=}yrTlOZ{OWQc|5wPr%y*{QP=6c7O&faF@N%uC z!qI7;RQ4+>tfZ^l->Ja@r=s5PZW%Ffidn&u@Xt;RzV{G0Y#PLyH%RG~4sDJaLzE~_8^oEc4k3Zu8^-rEs z7>NV^F~I{V$2cJWaVkj8l>^@_CAohEaKJ^L;b9Pg{+g`T{)>&bz%Et;qG zPjJADHn6z)6bG7Bn)YfOKz=@~_UhSY4%iAGxlLZqfzGMP8yT&L!@N%yH?omW?;SZ+ zihMd<_W^ek;_|`z9||MWEU0!OojKmmg5rl&Qtz5rAa+=`<0FR!PlLLbXs%(w$#v9K z=EY2?xVh)q4t4Z_l^UFm7e-zi$XncmJ`DFy!lRm)CmbOB9&V_iL#5N_KP^Lakn#(= zcR`8)H!qFRtu`}2yZkjM<}+Y5+gpwNf&m{a^Phe|z4r5VF9Siuvr#GDo>qbXI3EA& zebpK^_0>m!4kWWt-3`ba7nvP@6TFfETitisE=PUgCeJ|GD?C3U2Y>lp!SlqJBq)%9 z=ZL8zg_l!_-epUGz;eaSQ6=m7H$X=X7}SqpCm@`SPNhwxJt6 zkoR+c-E!`m1D^BFJy|(c*UTut!@6{UIO|`>fA*8kXJk9JOVP$SVjc42qPBIpnG{f<6y3}5 zqk!F=^*i1pe}1}PmJ^KiF>WI9Z_gEy!Lg4z>l;Ld^cS;jMh2)C-VVroiu-!aJPNv6=5I61Xcb_c)?Wf(e#^a^DE@IjgP7%^8SCo;U18Fn{(MR(=*^~y79l<#xS4dE7Ki+@`h2XS{eK-k|6PAK zlUjR&r3qMPQYsR%f&_6TTWn>L$*`6aH2u5;an5Z~#9SB|2+G_(r)@H8R4VO>ptQ61^Q@c)kl4_YmpB?Hk#gmB;h8LkQ4 z%n)$GJlK%mZDA4_;*H7)i8*A@NV=g?^^gp_g`@|>Y~;t{7UtvVrxYAm`HXpj3<`S) z#3h(Fi?}MbB=IW=LT^>;lTr7rf5I&)FGGSe=awud%Hws=tQOd369J3!DtmpZg8v1V z|IX9DH`40{v+n<*!C6ZF%B?!cAH%4+_fE#Zx>lDb)<2@*$dj|P4%BEE6B5jms*i@q zb^<4fKL+Yju1L^CVt|$KxHbiGIApocf$j&6yH|s{w!-_lra^vu{%U^_YcuBU zjwh2?dQ1?~Oiq|GVuFdC!l6*q`G0s9o%QiVe}}+ag-8zrs!Qk}ugxIOXFuL9fVxfo ziZ*e_#|&6|rtj|3dki>9pAv}1b13<0ighdEc9D|#Djm#Qnp#p*zv6jO`NJ^U1a*tk zy;?bvSCBX7WnZl3&>^HCp~VgT%RJ6Um)}mML-zJaa&9gi47kJfMDYAm&AhCYbeRtI zhwAE>p>#0W(r;R4ONVY4oM=R!MizI8Yz_M9iemC|MXqDMPfog1Gk^x|;ZyUs(B~*P ztA0*@h6)nL7-i2((f53a5IKZ8a>ARo$UUJ{*mhaR{FE~lq#J{lJL(~?30|rpDT;Z) zy$3%Q|DZt2rn5=m?5#fk4G zQGYI(K3s5%g#K6EoyW~c&}wAYHja5i#eUkR+9yO{ba3C6^F=(!kBn&EOoSe%Cgb<$ z$8)V4$n2UUz&nEe{RgoGXzCp|h*c)QVL?8}r$z*L|I4&Rkn~@V&wtk;KdG8N@&kSH z6I*v?Aub$)0OZb#|bB;H0#EKl;;K z%mhR4qs}1E_%p?;hzw^P_~RfN@s=lYXb|yuUP=1-fG!!bls?_JLY)1*jnKf0{`J1^ zZL7Qx@2i$ccP`zG*I~3TJx&t+3Pm2Rm3U6h-{T3HF(SeECWGnJuS7_fh&WV6Cc=xS zF0&58L|{4m81WV-fRN4Hm8DA~;kP>1dx`Y0|1ci>owvWEMG&8Hq%#GQw0FNZ>}0{? zuUxMZxMILp_VA5K&1f)<)^@bq5DjN5BNxU(qhWGSk)00W@NUtvWeKIxplY@&?sN&_ z_>br}=_$ygmvT?fdqsn2{X6?0)Gg$LR`K~ya$w-V2@810fwxQEb4JM=@M?4VZHRn0 zWUKG5ARi8J;-_^9E*uDypGj~&&H>}nN%NoK94P82KggzYV9Uz`qz>f8>87hsXrZ3b z{$irh1MxSq&dhCdJ{w-Lu57eSVS{Kc+x$R08_2J!nu;UXAZx|bwhsC6o6ib|w3oB7 zUL%h5{3Q#{ww3YvGFU({Y%9UxQ-auTj zU)NwFfIP7L_?x~YR{g27L4%fiA6-|Md0vdtLsk z$DayI?|RN4KE*%m(AbOmGJQiSlf;C_6*rD{VSe`AmC%4!+fZlO!;__~V{+tWQ(?1KmJ-qi410J8*q5cTxvEvPmD(#MSG_jjP?#LsrR_(Pe zYeSx&*|2FLlMcS~iqo#hp96hApGyoxAI2)hQ%6c1@T zE`A#LZhp;E`H>1FzmZNStY3eA+oF*aM}^35i$uhHso?o0y{^xa3PZW8OCqJIP}yfT zbz`0a``s?;kv~vC{#8nw3*xbBHjlFKH41zvv6OxoLxJ>z7V#oyus*)Olrv~dfehvs z0UkjLOgv;bxAc&qO!{6zY9$%E)_vYle31-3p*API5TEy`Eb^Y#B16t+31%!m8PX1+7y^1cw49A5~)jq=AZpfl$MY{IOFqB^IIZ_l4QQQVcg&GYp$p%5dG5D z&RWESnAgAT$sED@mQ6vm>BqYX;O8nSmyW&*#jn`6w*I! z-R?G>-^vwEhW+b&{0%Nq;CP4G=I`iZ@KIAv&_&;P@r5U0)8aTk1AAV?enb5>HT+uN z9Wt0}jAdz{exUcEtVI|3Y#4J()xK(sKh}!eW8wKWJI5z#`Y62) zK!y)0wO-!AWccjUPB2E_!}Rv~550)T^ks(^u3~%=sT4X={fPwpRhk+4RV2X0H@ZHL z1oYI)+z(Pou;O>%r}G{p=x$rTB1MvfdiBqoj}M9HBTTJ1rbmQ*+KPeqk_b>B{M@v^ zJ_=47d}QD4jf8coscPysBH)y%=y~UaFu2_w8VYy68`d0!tBR z92LR^&at6PZSC0a`)mlXv}WCj#QfRU+I+W1Y|!~4|8`iM15L{o@hBv7Fdt(cl(!N2 zcJ@8rZ3m;FX!y|CFXG6j2aB{~-f&=%R0frJg#$vm@7x}v{y+>-4?nt<1LdsJ;0RR? zxatVK4btGirQx~$c+4MOIQQbq7u1cNV&rMpJUFm>qEJ!MnFAv{LJ6u$9H19Ue3Wiu zLyf)n2T8=?m8;*p@AYAWv_$v(B3Cwa?$|xtdVmcXKN72UU8O-|~v)<~J z&w{~w*%8)3EUaTM-MtfWxnRLo`~mtz#_FWoyQ7(4bXUW#!^4( zF<>h2)z__X9?CdTsu&qH0|?0510Qn&YSHa3Rv(m zppI^|* z6ZltedhfD_2_%bWuY>k7fvBEVZe+kjeqlE;D$E3xy`Nqd_A=nkHPg!*(7#u5Tp}XS zkpY41KXdocM;N1jo>aes0YZtwXU}M0oDftiynPA!{j?=QE}?!L`=ia(74-?P@sZrm zAz1f#=HrRdgQz?IFcoXmM*X@EFDEoHo2jd7x8^8QZrV337HFpnpgHyejWL?_3ww8TQ`a`xt+rE^@t%CJnm4paQwCOGnEV% zyGW)I`23y8jIco(8IH?X_c;5KVR&Uj;w>}uksnU$@Wec8Z_G@9^#Io8mdMkCunt$K z?9@@d1QHwwUu}ED2m7{&lkNW)kl;za*Gm^(A%R22NJVP{N7e zZ&)0-V2e6Z#gx@1%uoIq&`!C9@yF+aAe}J9D2R*K`8KQ;3Aa->&mS2Nhmh-w%(<<@ zz(J_DH_<;7IBt0t>d5WUcw9`%Ex9s<`Yf>IGq~V)`2}-R&kZ+SV8YUxNzq8hR>L|(qI~o1ape8n?75p|Xr?YXtt6H)TvcZV|YvzsZY&c<@ zd9+%O4H+4m8En*%&;41Zp7MnSwML=-$(PY@aqQ+d@-7w(S++=}3$eiTvgQqWH3rryf)XYWP5KlvYTG7t~4r=IEJNvlD5%Wo1 z+`>NjtyJg|2ztBmCmFW-2RZ0$B*WkN{GU1&j|W6=y+?;KD5X zH<<0#VuGJr2bl}!!L>g3;|A0*K9-ukcszpjg|DG)8O9S~yDnbf#xc&}M_ltP`sZZ4 zVj{jH?!NkE8i#q!vaa841{Dmjme8BAmce`@uV>+2#N8=Vje$PYBQ!>!x!1X%1Ua&Qb229y1$yQ&~Z|=NW6uOxPqSIerbs`Q=RiBzuLjU}AmpeRk z^u@<+t~huN@z8N$W^TUQ%Hd?*`p5|=oAp|_+Gho7uKzFOHrqJF#c>0s_U&F!-Fk>1~V9s?@a4u zIUYlNUKE$(XHJH_zY8Z#wNckRwaRMqHZlxGLVKqL>d%hn#X{9k*I1pxEx3SuxJTvb zBJ@A2?>C{!B$Ht9gYmxb(?askZsa*YgurUWX{%}?*xs>Q zc_)Pk!Ac{)rB4yz!J?lRzM;;ccas>p?sAuTLU2M#8ivn^ZalX_f3bGkv z$tL{BvsuB9uk`-&bdJCK;nKkfLsy&!s$^#2lOz)K2&o9pqP{>Fk@Il9ihZmG(;*1+ zYzpAMUf&dTg=BM<&JHqMFwS-6-i`C5@UdDO=S|_D%FZ?Td%px;AJUm2ft6(RRmUrUj+L_`ZDuo~`^G*p_zOtpfcRr=7QK z|0Tl#8;i`Mbny0V~b;;1w64--~h4=5hQ^CUgVaB*HR6Z)L?)^0=Jo8p07 z;WJ;*pWyoG)n?3ZWo88=E$^Vi*_zsGh7NQnsE%qs`j!R)Q)M<}?9<~rU_If+M!k}+ ztbPy1XUEm$2If!~bekYs9cqjEmwEX+KmSw4$rZpqsE+k<8x%g)`O%?ifD!#R0{s>4 zWk0s$p`UtTSZD4&<~IX63%qVKAiZ8@OHCL9?nO`8zQuW&v(p_C2|<6~Ms26<_S#A{4?my}neNRsaRzyCYL?+_Kq?KEimnPif_37@ z$0GYLdeNZgU31CB-89IU$nZ!+og&eZ%fgnA1_1^4Hbr(*LF>$lV!QiPD0BN}&c)nJ}Y_UOJEO27EeAGJ%yx)~onpQ-C zrV-~>^Q)+n7D|4}B2u8&MWV6G4(pn_{RI>SD4-Yf@|nmJ)GzDREK4x2|EfrCaX#u2 z&20mf>rt0jA^PdY&k+*v8tAoacaUI7JGH9;*zE2k%#|*rpdsgkQe<8T01oXNX_^bcFyBVvq0Cox6bj^8)Uij2euBIfuiJ zr+u)mmB)Pld}S1*-yK-{8GRqa^SQhaXaD*5{C7XBp%Kr&P$t4tU9sy|kgt~AU$AYY zlc4jKU*>O|7q`73!d9&$SeI0-aUONwGQ;Cv;-2~*X!e!?)-P2{=JdH zmvZT{3&v}C)5q8IpdYM}ObWkC2U&R~zRzp_4?h3>{n%6V?msHXw@;VzZt7!!=CXNj z{tGPNN|Af#f06~~dlHtnRk7fj<*hv|8#dg~niPr&M;#1CM0`Xhc@wku#8)C(7*IK+{!J}9COTQ(dpW@Sn>vH~>&l6ew>GOUToPNPM z(zSsFA1UyZX+)3v?(IeZL_Y^gGb^H3$1DM|v+_>Gnq#5-FvSQ`oA{y{}7`4kFzOuy{ zbG;n#bIfXKK0Zo=SM5#mC(vJ<-!XfrXc_AF=U5Z(-c#Xlxc9omd#Epno83J_r-Dm` zdh3W2>cpl#HzzSqhuMA$Tf|wFln_PRJhsH^{p`sg;d5QqXlmCKmafNI8W`CBgG&kFK0Ok97>LaWOxTKep*7o!E?gj~QLR zn}zX<}6&@@_=9!e$DYX=6VFOMR6Z)Gbu(UJKsDydalne2||60UG8%xr+@)K^N*v z$D=S#U&Xs@;tUat>^)AN)*$`2t>3K?Dv6Ieh_IZNzrjNv`$QE6uJzkVf-6V6unGuu zV(UelBleM?f5Rx}pbZI(BU9eBsgl6*mVK@p>O8-u(l-jDKEW1z6nyj!_Ho>E)gd&5 z2$o4zJ;FLfkQk?3@_2a4`RhlT`@VB}UP*G54}SIPTDSVuV-p`*JgDH2>`_qfKl zL_pa~$D=L1;gE56`fThd_H~tdx{_Zm46Yrza;H5m6mka~E!t#4fsZ^V&%TU&S=IGL z&7Baasa%^8Umgl&nU?NBxBhwfd~j*!r7?f3Z_>7`_j-eMfG^Hl{8pfYdYX3FLNV>% zT*t=`#(CaieMJgUJlr!8`;`5DXnN}~6HYh26Vt#vQ$(@5hWrooqiyi$(_^#X_!jL~ zuOnHIayPJL1=d50iF(;60@my0)5kZepuc#FZ+h?~6K-5Bd}x!$gcqN5w3FgocSCk~fS;lmDt?@y4J=XU+MB1Gw+C@Vjf#%w?4H)-&)o84>$9$2% zW3P`r6cAEj&=#YjP4&qs89Jye-*ow^6#6LA3!Uy_zT%wzVx@=?8tB_dMZfH(L4;TL zp~_Ag9DYcbIwU~@)79RuX}H6LuZhNXp)ca`i-K{jFe-F%Zd`~zM};p}H`|C}ot@Z* z>y#9%=h$*CTp>J<0#>K)$G^e4j>-*lSB`j5phs1~N7;%3_q5BzKWb6%{?wf7EgLD2 z&yjm)uZ{i)llWV23@C8_wsbOWE9wxolZQBJ6zDtfIw3_A_2JWYUL_OQ50vkoX%*&` z*eg#LdZnSCtts8{v=jQitQA;SSEAma`gkMpEeUMv%wwCMli+5Dg>%$P5?oL9b?Yi2 z!A#-J+(h)t{*I=2Jvc=IB9kw!&WZ%4*F>`JnjnrIFZv>a^?t5hSC@)xA;AfuZBx_@ zB#=K|Hqs?$|B2w)>=KIDodQ+mYZf(9I!{sy)qU?A-5_S^d=I3XX zX(~k6xM6%`jUeLgj^am+{R9w~-#H&vjP)El9hY>WKl*^-k|(p<(1&dQN2sn2N9T2< zy@-4NUF-I_Uw^e6lBY-C>=G^n3aNPf$IwA34Fu&>im-{)P zpf%dO(N{hc>P~ZSe%lZNB+CG)9BK$W*tK%SZ|@Lry`M~EtPcgD1DCJgwf*Pe^1oak zF-2_yKN74_o=sgqU(nD;r)5iSQK3hG@S@xP-{LbXbXM2{>ln1&Yix+eI>l{t$$kgy zi}3NM!E+M&cTJ0x&-Pj~V2owI{Q(p4vvwDfd)ce@m<@vF<%rT)7oA|h1BdO z{>fw5XZZde$+-y%EHxZyA3pMwT$qIVSy<+i zv$FXlV8k;d#Bg8fs{DSSxC!^muSthm?9a5l&aHOJ`o9mS?`|&@NLx+=l~9*mMJ_aW zlJUbFT(KW%#F7^U$uv-Y65jC>dF{=&CL0A#Vx9Bc8&OMV8l2j~^+Y&^2GI|662ytf zYcD8|NXR1Jy)@x#w1@^Kv~P!0 zpn{B*c-X5c3h3z1nA;*>&0Oobh8z358FkeZ3`$bKK+njH2YtXZow|kfs1pPvZ-1wf zgnp_MucQ5|<5^N7`MH4B~#x_p|0nAl)x3FZvF3+tB=hnrp~!S8oUl zM1JpZV-25ojiJN|v{Y5VQYi{vNDEyCaPyD9Ct1K)q!rh9h!4iTDfJtD{A>t;pXk2Mj0;({FLCdiZX zEUJ|p@%aXWm`!p?MCiMBeoYSYLwnk(i&~CY-*LnD=rc>~&+&H4#8YeRTl-$UVDCO6 zjB)bK&+kXPJGZ>$C-$=~6fO;~y-Ec0ov{wSyLo<`T62b ze)Q8HwDQw!ZT|QDy_KCNUXC$zm{}BJ>-wDvGeN1Z51^m_+NJn~&zNUaW7O z0I|`jFBs1*s66|O`pq9AKucgBrt$} zORMnk@TKP{u+OOCMvgVs4fOduFyuquWsQ9vu?GE>Yb1x2BhVMQT>tS2O^k2DE(E{D zxK%LNYGCCZykADSSMs_j#N(ZIw&}<-Vn^IV^;VLAvcpC;9rNa14NW)YFs}UeYO>}a z)|JMlZr(ewnED zJ|FXxo#g%xT%G8Tv!=r3&h25lHeAprjI~=mTwTS|+^Lkg*u_!PvHP%(s@Sty&!cf< zcskkECjANPk`pV{UgCM*c_XQ69mc8l%L6_cAH+I2soMP?wK31WIySNf<9eeA39j47 zL;WL{E-Oa;RpUqztgt7Jobe5fMXeuo*Z&%_;B3WzV7 z2lwtfv7Q9I8ZN|7n3r$Kl~G+Yj<`80{`(Tf&+m8be zkCfj88l!LOo*ADauNLOrVkbwGFmEJulbqVIn+R(+itOve_ceWQHTmj*_?-XwNH_A; zrVMo+X?))bfxNwexZ0pmkbBN1R^{_xC!k&WT zM?JCMs5Y7A&OjesL39)$72oIA$$fS_f(Q=HT6_tYiQpr>pW%w<1)sghd_fV`M` zgm7^f#O>NqbQbRyDSotm#jT=HsAx-+l*PWnf_GY)2-puKs33)GhJ8ZTPdRWa=7pd? z%}er9cnEyF7jf{4aR^*5&ivpgihY@^Mnl8}LV)LNpvf@YtR02vkuH(HHMV;*|z`mRb7GTi^z@p=R1S)x}I z#O0Qf;b-(tF+w-yN8;#u)j8;gxg)VMq#ga9^RH4TkT=n|f=`LpVLsfDQ)~SN3R$E=0Ts&*t5w{`*S~>L*L`I-1_M2fn*SU{6~7h1O1WTT@}TF3|hQ< z&kmyB-{snQJ8ASS#kQ8FZa<9p@c4lUx8gtI+SWbPpP2t1dsm#-Km@7mlN-ixeM{}+ zJ?4(q#+4xfG`yKT4XWY2mf$!hmW$rYF z@oDSe0I>miViC*2Kpy#{KYN{l=yi|Z zp=DidZFUL~_Lc=zBVQ*~R880qf-whdwmXuudRnh@TH} z%Xp3@=7D*#Y=%Ue%~_1^eGXhpMBK|LmC@(N{7|ON3Gz0?yF2A4uB=2{+vltu#pR0E z?}hai242U(My*C^Pa^zmzpCvPfc$mZKfe**Kj~L0n}xrhTAd?(9bf-QX-=?5KAQS$ zlkj<4{C<_pkbcDDpEnNoregkS-{VB7IeaXB#yZd)ahx1*vg7J0{5(1-q$^=KFMNfD zPqCh)hdg$p8+on{OQO%%0{h?Q&+AZjAigdQnBIwhcTnG`+58|8w!U^%6TSZtVxb+4>T#05NGCW9h< zOtD|7%2HvT#Q!AMX+h>2gZ`gXKRCH)u z81%<(Dc5$z{_PFZN7f?Wy;^nX%rG$&3Tk?d3D}3}WrzN!$IOVQFOXJdb+hUvP2 zvmr3pp`Byr5(3A;vcz^@2-v@fPup&R_nQ=K`BrZd0tZ>$LMq!sAaZfn2X)gBu+l%e zwQgGo%qn<`hyeB#8BybZi0`jCYHA>e?^|UemGi|AU%#*4q@0ZUbEo67Hby7}?^7rj zt-#OY&i~`(h5vszy&-@+u6`MP^f}R0@((BwV?RvrM1CfbI!Jw``hW1*qqbS2$Bhbm z=WMFYaUDczG{y&G-hnM1^mP_>x-&+rl6GFfe6|`NuktJjanN_-BY^}*g=WQK&f_{A zXwBG$`|wY`rh`Tw5#C%jb2v#O!KYdyftWSuud%x*Yk=|XCDA2H3-Z{Xu`l7!?qL$N z-yJKfLVZxwM7f|dg9Og~3pEV<|Egs=o<9DF`Nb*; z+K;>#w}eZ43(0V!pw3!8RMtXLS_4t+^WHWl6=aY!KhBKd_o_IsF9 z?pHZ~iv*QNes4-lCET@jCAlSGNsuQ4SmRK)|j6`d_OSz4%juO|9271Y;|>T0 z9<#`o2JB!s`7-C+&HP~KBSbnbo}EGs1`eK$5$Q#rX`uvAs7d6^wriT+P{mJ>S+<6O12gB!6<%4B5X zO?fcpX^M>|j3iJOlq!^+zJR*f0ORXo2I^quMNZ?mPsT*UBktq#k`wN!J=ZY*aWW}i z9(h2BHC^Nn?ni6);>+K6VI1eb{Awodqv_r93nua;*k?Ve@W2IqNZR7hHXlLVutn)s z4#vYODFVt7bNF|wTLSOB#k}o7Z~m5Q^ch_sy{vwK`|s7n*F|)!t0HOM15+ZvVV2jHx ziwx?6W>Tg0D~NEpL02aN^MNPJho;wIe=DJ=iwY*$1gI~w@G!YXfQjV%UqvL$OGq0_ zZPUd*2=|zN7OSye&9{mD5_lf~(>*mhJJ|$ydU5DlL>&Q4=sGsr%g}!*v+RUa_5VH3 z9{KaJn}YoLc$a>>84nHi$?~>vux@7ZNghAdnF{V(8&8{~f0U>xIzg?%$@v_d z9}TB%oy!nMHWaUpOZi8?gy+(#7&mkW|4ax#ebQ6Q>W(w+_qvel@1`d4+zME!!0AT* z>D@o**MvBFgFVIj1aU)7rt0xkBJA$58aKxC)!A-ixh0-&QsNAoXdLy7GZ(V)Ts!>8 z-~q1<5mYRRx#9YVTN3p*jBtME#|$psL>zv8WLar5j=F!AXDMNxr*hhkw^RaxK=x>O8p5t;4KmXDLugOmlSF>a# zQ*d2C(Yxebc-~vEqXG{M<9c|=Zj<_kI>Zx|-Ni$=URwQAPa@wx{!M+AG2)(Ni|wQ8 zcEriT@9Mkm@oYFmdN|)|NZ>`*Essme!TbA+qz9v5isUARR-^{ z|7ejrzb5k6D~oN<#q*$^@Hkg{XIU^@*+1M}h4&XBIoCP)ATICw*xR}GOfYEnes`(C zQFX@s#UDm6eD^H9q*Z`8t=shQ&bMG_%pN;uwlM?}w!aZ+_6vc>>W9X*)`UQI{gHLt zyrFQiTcWfL`#!65gnX%36AF|7E~~WVq40Rr?v|WlD5UtVwzJ0jGj%tO_8nn`g6mkw z!uQxvP}-e#iH-Fr%kKBDdV|mZv*+nw{=VOPJw7Sa6T-c$r!lW>#d&Qe7l{7vnY?c| zu}{?9Fww=j$V24JR7lbmSby{N=8Ig!F$K}*)yd+xPUM1xFAEakHJA5DG4h_9e8al= zxKB@=*|&MU8SYPa%_}0fUp<6tZ#lXnF2Bj>@Wb`bSYh7YcOUugTbUhit`nhL`-bvA z`jk6As&!I5jO%}4Q}lX0Ag}cm=p`u0 zp+A2lME~w&6wIGIJ#tNn04;Yogwq*_lg&ws-U=We@!6R@tBm{C?dAJ+1tR=-HCDL` z@k>F$<*VQu0{R)`le?-2(9vV*bQ-u;U6&j393Qa0SB_))*Qb;O^lqng? zR4TC+%UUe6lvE@%$e1BCA{kSpl0pL_Bq1_3NPbu6^=t3fYoFKW_c?p-^E>D4^ZoYE z(^}Sgp0%FmS=W8Nulu_1n`?KNL$XI1~QMr%RrWbO9gdcFZ4Ex%v0w zv+&2>kRs&m{I3Px+A`y>>zS?vZLcd>-t^#YU2>BV`ktMh8}iu_xFvtkqxcbrG`3$c zNPWeojw`0JKY!twWfZKi(=jhA=KCw-03mKI-@AC%tUBd4?Z``C@QRoy)kM21B zJrFw3fk;(V7vRQ}$NK5muhEU+DZ#)^Z@y}t04-12J2qf)`xev%HeP3GQNvxehi5KyC=NnjRG2TGecwDt7?VTs3 zbydhbY=wTX{>TO~;PB`ZBQkyO5oaojFYa!_>(;tmn1r~qYvH-zaroXVc2s>_QGwTM zM7LMmhhD*B88-oZdWOpfhnnj+FQ=S}2{^qm{)kl-@bptE_tMZ6=-b_AdoSSp^>nF7 z*nuBBsSNut^)`G4_QsTe_Z|6gZH6%3cV$SOZ%r!Vzxw#VU%XvOS-7pJ8NZu^fpUrY7FU)-ChPk`j7cSR8 zo{oRpi%-yf*YDtli+y(`hgwsuJ)d1k=u_*pWq2INY8;pH)0Ld3Z{SS%hHZz7d}F^W zwW-90UjN}r8nIffZc`alGA`x$-ObQFh8AVGhhSbxwQ%jFRt9Bpj^-DvXVOk>rHBpQ zOw!g@pOYWPq~&opXW0N}rz?hxeC1&BM2f~z_2W#+x_Qe;C4xzrUmOly0#AMvb2y{g z54?Hhw?i`%{tI#W|Gl1WP6B-r9$wV#yT`d0aemDBO0|I1(8m(Xot7=Zef&O9YSKJU zvb2#g90LB@w8fXyP6f^$RvK=ajQYr*T7FsZW2)PK4c`6}I23o_mJ0Z&YFyXPQ%c}B z2j2?I>EXUkUtkt-0P_ZRX7G>Q3w>?Y#{H*&O+`?AIK! z9?KVbBZosOr|v66hH)tJUbxu=7Y=E?Jojud^aS3Vf>9Ghpl40LW%{6pP0Ny8WSzvp zms?`Bmg99Ru5FvRt`V=F7Qz+;M{73ic;~)Ai1)ku~S&D*%$TKh4Qn+WsZVq`XDi({|aY(f=es)qabdU?}*1Y)K zleJ@B4McQF}LtM($pZIk(ba)M! zoSv}_xDE@OUR|6GTx)$&6ofdmas87B3oGE7;B=h_z`v2ax*DS>^m*y7V86ugd)BNi zALav(XCHajlNW@1+N7}B66m{5I+|^V?4b8d(YGBo2EKi=%2WnFw*9z!>ppGp!LFGx zL%5zzM$e|?;P2~A{UtmQcZVatPtrc(N#@tr+XuTr2UzPCn}~Ru_kNm8iZ}F!%O76< z(gCJ@Ync*(<86toS|u8W`s9TUdo97w3$9#0Ul0%9Z;qH}Qj#Ze%2;1wlfkD$v=(m! z-rZijc7kjg?h|#7Z$8)#vq`xRTP=^STfNwh3)J5dgx7uEKEqlV?^}{PXvqPdK5m+o zcnbTS-~XZOek?vOOXT^D%fRDjyteni6TTgNoF;WukxJR~&zE%{JSe zw}8uh5fdefFxULB&=r9v_+GPB!%n2OBajudgyj%bK{vpX)i4 zYWvcGuZvAH4Mi;u7XSTqfvFZ}=1o3}c(mrk`00^|1Dx?EBTqvIi3vA)1N?5C5S*=s z{wn3%+-9{X4mnFW?3!?mLu>kiX1~Yx)r?zKbT18hN8i)V27K>7yWSt9znv_!_M%oE zvGtQVUUbg7<%}BegQqn-tH2NIlC4o`U;0o_wkK;@oh|TXq)|V>9P5KVrpkRY=;+2; zk-IJMcz>bZWE=STV_xR;0k?PWFa2z{54wbzN~x0x_}__J+CqlVbH7Q~)&P$;bS`b` z1V1*pHZ83dc(9<3zjrSlKefNyvS=rc|GhLS2>buSlXtie$KAHnUTY@wh=$pPDl>r3 zt}8j3j_%MA94|fl$-rC?Da)$Q*vizJ8;7xhpPpJ{D}mRJW50fr@CDv)=bj$p;fZ;H zC3azl!4E3NO|(4#T+DdOr*4US*wmf%i}5`)#}vJMi|^+nE~HRn3cdR|+ej91BHGL6 z=V&9W*Iq5keTvVQs8;=LhCX=2t-+2)Jl-nTwmA;GeP^!cz%+dB_&hg_4)BD+eNuaw zh%fyu9$dobtNJli+;Ix)g*P8W+i;$hDjmC~=U|;BG9vo|IGumz&hzRL%;ENu>nth5 zIw5Fl=4Ifu;PXY|hu>kp{Fk0fd_vs2&5r{iGICUA6Txc@@vQX zuzQBw<_6%o`eNbsD)^c=r)e$({?}gZsyulg@$<8bWLpN}SmmyyhycXZh7Q*xO`M1K z$#0l5aUHKnA5EO`KOdj@EZW`;3Nz`>J;jfA8W{AvHS*>pUk16H3M%(n$)GFaiuk^m zGDvl8oBGLf45BR$7_N^Pw3!q@Qp!{Q$BjG z9fB^>sGRLC#3XBG!8k?e7X9OY2wcP*tJ)-)4z0~hQXBIyUVSI@4E2V{Zp^U?x_dO0 z#~5>8PN-VySu$zr>a+bJPE48^eR1Km_o0QL??4>?-(2c|RFsF9Cnr&68|1 z4L%~fO1`I~;m_n7MNXrTua?%J1!EA`kJgn(^FX&Nn0~tF}VwTcIn8AmmhX; zNKCxjd!Iaq=H<+f{xJ#sbu7kxqF+~P@N!kXQ5>qVG_f!cL|?^Py(!G`9J;v9PFn@} zy9w*bQMH{jP%VVzFfby2MI677)wqJ&d^fRy1>{8ILcGHC778cH5|%?lr2o zemsvo+z7{!m|(wqBXCFY_54g7@aehc8DCd`kIH6kEynA;O&6@_TmyZ}s&iWgUN3n~ znez?XAS}A@aEIw!PZ65J;w07scamOwS*+_`9d%wPz1yksqmS8(sw7 zAln&WZH&*S{`v0cQhdL$O`ViV0tVI$7(?HiaN}$@)+?vF zE=E67LLB&ha`)neIDUR~;|}~Df8RI%Q?_@5zP_p6$Dqsi&u&Y1K%K`&hi3PK3^E+M zV*FP4i*II?p61SH&>G9$lL871@`*B;Hvr$nh8;6(T(>hw%|f~2p)vdxU28-_tr#S6 zk-aST0D~4c?Oxep#~{1XUW>`_ZQQN7_vQ}fzmAsXZJy=Fp!>3qPdlGxP;2=IHUA5! zEBUVU_V88snuiK5%idv7neepf%@4uHMRsjkQ_mpB@2U332cd%;xt%L6!laAOAJyMk z!la_J$*X-fF{w=_b?JITCTT7_qqf-ezYm`WtKTYhf=Pa32_a z7_TLc``k?6dATU!cNwoql_2thn@qO&jsnk$YN+Sy1Rt~#e}2E7LqW5~jwyVOc@CHS zLL~Dzv?S-#rkNKwv~}R-+GGZYPA`9cCkHx0cIu??d^HYHpwJTcWyo7?4@z3Um_zM5 z9S(D#8}o!y?Q-}ecmkHYJsg8M5X<+zH0x#)&(3$6-|N^k=;|c0^C_FG97NxFqK-32 z!#v|Bc<|ltPrb^Yu<7gNMqh!KY>Ii&vt!0h957P;guW2 zp$N~MPp7#YGSH2`vmHK<0p`mSQXipHXRu3BfiqSL0qv2%sjF-5r_1XD2l_3q4L~=Z z?sr`7hB|Zy{?o#;z^O=;b?a{c-yT%wKb{LW)0Ot=|4-;>_?Ny~W61ofS7}EuQ!G?rj;3*K@Zy+baXl__R!x$1R7>ZJqIGJ&rTA=+nR<#DM|#ST9)( z#E*$hqV*f#ud`BTZNl^G<*jG8VBMAQP{+s;uOC|;8}{q_m^kH2*lz-E56|B^bu(~? z=9O;L#(gE2Iesdh&+dt?btU*21=Ade_?Vtf>~GIDya*MNWfe6n2i1vov{pt_;(9O9K> zl$AsX=7l^7b2$NCoD{yLOq&aST{@wz#1(w`6l?IbJ#_JX^WWqizEu`_Msmm*gxIB~|Scp8J2x?0w3fN!m7 zQ?Hze3WFxLpAxvbgh5@(8duIjCk`0+w6+ghfd`vLg`xiAqPf&=F=fozE|6R&2tQmF zJHeHMeBo5Zva^@98PsX|b6`Z5f&S3L*(C-H%H7CL^Ri&j)vOEW?G7<0G~>LIng@f# zY^L?w1Tbjwwk@4EPci8DBJBh3q8P+Kd-@4G)Mw9re0k@tA_g5C-#l>w@L6V^??Wl@ z@Ccq=1*627#5+{%dz>(zXyW@Z&W-1HOD53RBX5 ztoV~nhIe~1OVD3RXtz{t68Z>~3fJ)4yk(PvHpy?Znj|89}_ zu81?W#`w zF8XQZ6^@S`gZ0Nfnd8sD&jDW!e%_*h-<|Gz>-A#5QO=zDm@+&bHW(D^Uw}HXYk9XC zfv4f$mdGgpCrdD{qEHe1Zrv8a0N~Z;?>A2j0lx*?6IK@iKYf%xdx~K_bddMzkp|#x zd#13GC-5m*MR@dMY2cUb=f^R?twkp%Hz-X9K3`p!uuB3s5V$KKSPZzU_NwpU6!2#? z(aHUIor__{7$0la;6*!Z3)c(9@IGAA44)wGX| zWY~fKzEGI34tOJbVS2x>BlHJ`gcjd1;NEWit&O#DGf#;w&fB)I%ukRcqlIZA4fy&(E_n05@I%67dpA72m z(z#mgz}dRMki$>lZ{yGTT3-NtdFMULh04Ovj}1R(IxS#O(xaarXX!I&x9lUHcSFM-n2Lp?p5&q8o49lanOi3ASb%!$ zAGTdrcfW_vd0%O+!)LsYHFZf|7jQRq9naN1_~h)hw`l$H?@eks**Kd?Y}SZYFF|kV zl#gx$?()AL7^{B(`NKt>6PF%?o)PNooXBSWy3YdrpsD+lBe_Jg@G+ zlG!ou*yQ?1e4`ok1eK8lId9->@Try`lF(Uq#Hze$InANPYF1T+Shwdm&5ezSgD%Ur zV5#nT4s}T7r8rgIuYoTgK0h=v!;%^3^SG*a%ATSsGLQ0{`ue?~W;O(64FVM!R_&Y6(x{j)SfvT(lrX`wrF=?;Yam8P2m@ z;kO*Jzc-2f7W*wd*uHY@2M(1qG6k38_buOR5OeZ7bo^13Sx>M(Ls3JXaacDgDW0$y z1g&XQIStCgMVX*y+Ubb)FP^<$>slt;i4S$mZAY z0*|(xB|8oH$dWNs%(eg@G;hgJ2X6BmR}5BmMVu*HF!`K6;=#xO_Z0Z)Ox4RJ4q?E* zWX`I<0AAN$zmnJ^YF9DpZ}4L{WTcY&d&3K-g8t)=OFO^K%b7H>><>BJAF>k zafZ(GJjO}P7kS659*sAVs5h)!)8GS~9<}?(wcY~6P0b&gSIWVw%~$N&Q;E;LF#dVl zThvwGzO9q;9lHA+x$Y47l^bP?FZ9C~r+z!!>>KieXKoMfS*wUVVCq+~c=$GUC0lkp zk@up8+6>+;@b9Y}Q|ilwgw^|LpyO`rEk}7>;?nL&tKrxKho5$0?Bk zu5{u3BaS(IaaolGGNBR-`g(9udIfY2=`S+TAA-PdXUg=<1)se<_2lT=aSW=6zi_Sb zGJ|q5%dVN>@2bk9O43}Qe`r_8vQTgBD%;`HvWGz`GV_0&)AxU=qXH6koMiY5WIMbRF245 zTPE%4%C)`;+>KKItiuU|Ut|CD)JEhF#oElO)Z&?>v;6RPz1aVLzWis`;rHJK@;r;~ zFg+-KIHS$&um|1me61+)&V$~jl>Xp?udcn7(%?4@I214?zZmQN?gtx`6@WiBCz40q zdJ-3%r}E-g|?OhjJ2XT7TgE`YV_3 zD8#&jt7m#lj#|m%go4TSO(8uTZ zd5KHhX%i5@rle^$lKVT^WUV};Wheqa$2T|E7sMemmka?B=qxifEA5$C=t0U(Vxe`z z9;6bmB@fkrw0`CerRCGuq;gUD_3s~H45U>*d>x)gt8mw?0=7i@;heC%JmtJufy3)dnlS3B= zV-Cc^=<{?K_#4u=$j6LBW$RyA9D?rRI5}8vjU9)MeZ+udU+{hAtS1(+xQ>rL`V|#m zKg_^3dBlZgPTuswG0;_NT}-vb!9QclCil0)ui{zyEDHSpoc-q?;=^@PQ0DjDH}N-cxmzS@-A$*&e04Eza{-h^1 z&<7mn-h0hJ-tpRmweS7l6M0#4E#?G{YxeQkBW!zow%*DFKhHR{Dc})~b2T}^c`o*w zr0bt_bT@pRt`qA{>cE%r>e0S>#F=xFcQbs|5HFUzaa*J~xg6;5dR^g%(-05eUyS(VfajZfm1^+0e&3h>S=%?Vl6G8OS8}uVRsP`ON;xO= zrhAyW($%Rmj@wRfrSwLd1RLP=P>J%Vqn$1^Lq7Iu%|g_N1WCxee(Fl2PToE};Q(|E z)u5jGM4~E`x z_;teuTlkib>mOMU9&YsQ`6@#p2JQDyC|Mv2{MY4EeB%Zkdf=#j!wUx4CeCS?2S4+F z*7yHc+mEI5*~?VqJg5;n3hss3B2LJqho@N(`9XPZF`wR4{e*oRUaPqa*G5g?W<3=sN2VQ?TcvA1j z+0apbO3lgaWmClaOcep>)Zg~>vMwNw{NB%>ZDoYLwp1Pqm+KW+3L_{C-~J?WQG-h({lmAIcH9#iE<0g`C{i?i4cA{6R(s zeYMmdPL|uwqWw9QI^pgtdOG7`fpjK|E`6+W{M5lB(HOI5O==!wdC5U@T$l&xjWR32zN&0^L_)7m~8=lPSq!jsvEi!H4zIT4)ad1L#_7fT>dptfRn2;xfH*(SR%;CNzaz3F}z zTrVa2cOqC18QU)zRd*ly&FfvZyj%{+j9L;n8rL(j-tg)b=;+ybLC4+>qmI(iAn;ed zSo)6BPvc(j_3`R=L+YTvuZ)~C4ckl8Mm9$R?{5lcn_pWD-Ps|%={9tRiRGFpQsA+> z_QapJ0Hm(mCFxj;@&izCKo24^K;K{Hw$g;BWZ63jUzK z;;?#~O@!Y{#$WEY?)f+F9>RM5_x<;eZuvKERS{QprQ^bf_k~-ylE}tqEej%DNz;ot zI2Df#Zlz9*`SSSc0peJSW%dwD_KS^-IZ18N|6oE zMr>9w=gX#Z#go;-W+gKp#z+3t#E4$zr}wib^b1U~HK}eB~we?sV&&e;36N39vcrPxB;&tB;pk$R(McykBneut_La1 zll3jy#3srfn6?9Wv1_by-Xbs5dl=^xn0q3BCb@XH3ue|Zu3Pr1h`-_+?_T?19_Y_g zoQ&?Pf+q&B&34^a&`8)Z}f3VmR};{O<{t|wS|D!2mIS( z)WN6!Y=6qnsI3Ql?SZ$2M?)lwRzCjpZFZMC$*7fnt=47HP*u2!zX6Mech%G$^uu0W5^YN6C8Ph?go2pxH_&4$kFIzD{UpyN?N-JU4&4x_{xSjUsH1(=trNh@ zW5Y)VlT&dWQz!TN>#jG=dZX#*Isqs~W4*Wzb^Q0W`{0r~T0#)$e>l^282R=*eA1&_(e2%>n z71Lu49em>9lh%8|zrRXG_2D=pLQ0K~P2ltR?DKX7^yoxKg|HfI_Z$~|{R}+%dzO>N zV@>EA)n^-&unsurw?0LFGIWcGwfPo!yt=Ykh6!EaeB0TP2Iw(m)39!NiTwG7%^0B=)4gF9mc^16I77pAz<;prJK3-VlPgR|q~kJrI-|Lxyb4*PlZ z?yWs8RDXV*Xl14=JrWswqQS$UOMMX{SyiqyvC-Gi#Lblw*z+eU$hgvvF?`!66}r&; z?*fG@yj*BnoqC3BunYAY+;rEka-p?hR+E3OawVhnZNA#Eu5|0m!p-mcTa6 z-vo}1PFruwqGO+!jc4RoR4sk<(fDe2lG6x@ebnksIW{5Bo^E2%w9AD*bI^xMF(dY6 z=R5FjNBb|a;T|-@^ZX6&T{gApy2?qfgWs-xoB{Vao7T;|U`@L_(#)om&+@I`YuWT&?L@oFIMiJm)n?EH;Pm{;qVd9b z-6BO!7If|3`}>b>rN3}{ilA>iOP$U+H^rO2lpjm|A%!{4W)8Os7hyhV{1RJR`9H>K zGpVD>>2b(c<=y=3aodBIi-_p*qfhvxJc-p~qC9A&k)_XB^daD+O}S(m=|OwPH?7mX z=0T(HS*to?-j1}2z!}X7530aw z@r6ST22q|*pm%JnFyfD%f&80kqT>-hnt+_9t8# z$08r5BXoNcaP`<2`-D_I=m5;G9NQzv3;J(YoeN#UB)?b86?oM5J=`(wIQ+_222MYO zesE>0Kz-6d`25x`juirq-a4WySiKE-z9KongTUXHpIM$mo}RQ^e*c^cVelD+=-ZSO*^MCJ><|1H7K5*U;{C48Fp{V}v%uqi*HU><_>C zbPSs?t#ZJJGq^o-&fs&2I1k$t<8y4^)SURsKUefAa$oFg=p)(-;+2sPyeHS}{}S~k zs|)h<^UPEb#P+Np_x#-@8IzQ~S`C0exdg zcfYb9`e2BSNH-pHr4M76wdzM*sq)g6yiK;Q)Q~waIL*nGGDod`mUzXL99QhmYlI_5 z$*_2Z8|wa~ivnWukuPlMDzz|O%%J9kl`&D^#V4Ge8|Z>Zx4opH6;VjCnE$<4;X3?lg#kG%s$BB~0$0tr@QA?O6@2aINTHCt+ zQ@|P)jej#%JONt;;iWE0X)J2!RY`f*;z6P_`wr}Q0N-0&qvHO+KgQ2XPMa2mYoHF# z=g_WO*D)s{Ki*#AGKcn!bS&5{1^%6&lK%A-o8~+_X*3gcgfn}rT^yj-^7gdNIw_6% z?Ab4U_`dz|{{Qy=|NZ!7=ir;2lHQc0Wvb=%lS`jd19Ie2k?g!;nHf%v2{_WWd&sM`vP@yv-GY5XH6R&S%hyXu0 zDi30(Bk$zawx(eb>VbCW4X0zhen7cAT?Bma_4p{Ep!9wE}XqA zWAQnLbi&+9pbzhP6l3(l2lXx%PUgS*SRC^9pCt}F9eF*Nt9~B%=^63%Yar@V9!oC_ zfzIKzp?jJg6aI)Ao5q9CrK4;&2zB_P9x>Wq!3eJlkn1eyjzZn*(0n0l=(E$(Yd_2{ z$9a5x;Xpw#_;ZzRQvVI$J5yWhM+DCEgaKP4oW}!|mtHkNpO88zGc{EoI9PgHQY!(v z!xp>a@$g%$cg=pAfcm}KODX5q_Tsv&+OgOCp(nLYbJ}wT`;AU6pVj#W-#>D$(W8DG z-?Zt5Jg)bi!8u;XHhR&q=})4R(Em#%aZjrp_;7NzZ~N&=)PZ%@|1`;gp0P1odEgZC zgL6|1ltVH1>4oZ^VCd1m@1sB4O8RgWgXS~74JZdsXlXPgIpi(j?g33^(Z zf@R&BEi8JgKU*uP*PYZ_pT@hkyHm2O@9P7(?sV#Y^A~A(chbIcdGowdH)<)1mt^mA zqtHn<<`*8I&Lbiwea~Jd@w|CI>gjU$fqm|#DJn4O)Gm2m4b6F9xoT$$Z720_PVe zl+aIO#g<&pb;t|;*?Ia`|GU`iFZS@kqQGf38x7&BJ zXyE7T&UPObsT-`h{}laS-6H0vJ;b_Ot1Me>|M~w9{LJTAWWukp#>s8b0uR(-S6Q2c zfR`oQa)0{Z0Q!25tYVhKmlyWM-`%*KP5R1*=6gZ+_-C)n?pI?!&H)ZDwwi0Lejjt- zmua2J&O`s`ZJ`Tip-)_cX%r`?iTju1v_Bu%@!Spl<;U?A3Iw9B{4R%2*U{HxYI;MR z(0lY-khhELtMDSbj?c5x(Le6c)*naPB9PaY4iFE!h+6C0Cw49KzrP6mx=&rP@LJ9#r;B6b^vqVVh_)x_cl~wU0kJgXp$;Z4ZFy*mb@k^-GM?af zHLHG7z@UBN6?smVE9PrRcBcYPH!2cXG#!P?Y_fob*Sb(xq z_Ljo_-s|AGOP8$`0bW*!h&W5B3#?yFI;)vRui9hL*wDHfLEv+ z?+(6_c^5i~dZ>>H@O`g?f#+6D)I;X?$8n)&=cXPtR)#Jz_qfNg8P5H23 z)S)Tjm>1YzrJ>aU|BB2j|78`>JCdZ$_LZXlm)N0r34G3Yr;*(KJ}vaL1W;n#2r&8Wh43Eri?&F}Mn9ES(r&k%YIeL&Mh6jz)9y?QO0x@ zB_FI-4PL>f-tybu4R=5{Dhaul{tkNoW?lwN*rtV}G9kDC@xFy(~+UF$e z-A`~Qv+y!~7Vy1)?VVjQGAwc~%Pd=}#iGl18ubrDr(3e*`<{CXSY+#0c1l0S9eku~ z-S9g%`hMAHnYX4JiQ2Sp3hH4}^$p{msl`mvyHS3qGloeg$C-9(qc4WbYUURyVfiqTvHxyWS?9~V(a2XdAIWQ+;z5TDTm)DXJ?LHX!l{F!;P1FT zSQj(EqR}cxWF@Ov6u!SN_zQGZljwM*sjpci*O0erZ;uCAZCLcp0{Z5k9q;$wm0lT~ zDHs4wTO0B-cftp9XvGy5+?T$VXHTmDpPN}<`R79?87UGiST^z>-|z4J|Lyi%kti{50xm^Df;z?)u%UK9-Uz+5JUNp}Tpy-Ch*AU|mKb1@&P$8@^(6>riWn|CA$$D44ZHL47A_N_o&tAD z)zzP@_D)yeYGnCthtewFk`E}hx@aO%`dE|twHdY2l)#oX)1FTbLXf8?=;Zwtb? z)Oojm+mQhD3mL665@ChoM($Z(wE^o4@3*UpRk(De#7IqSH!L2j zsB7J>%((}@SrKdH-82EjuV{OoNy4aeA1cdx4ct7>87Z(q-?yC_wPWP*cQNw_+e|+6 zw@u2LVl~=}K0Ds_3H=7%Y-$)iwGRE0nD>%IuA*=3^z7c9hu~jUR=Z^fz8_la*ft;Q zm5Z5Y9Os52pD27{&yQ;|KT``S>Lq@%}k;VzZ+j!GCgZr$7L7kafHvZBZpy z2l&p}TJ!^?mEQ1%JIye%~*@w~Kt9?pKU-p*CCb=q))e z^!xeWTidas-#j)m=nOkWs2OvmedHIN?SS7$!_knhKMDRD+1Qp}pYv7Kq|>g5a|s?+ z{EwiAZ+Y@&i39YVj=`-PViMt-4lO_64SlECNL|(#`O64~`uGH1_|OAejy!|kX>z^u zZfz4b1*nMoSM6fc?H8Zf``~}7fAnzO=tSsW^ZbrVzF?!@%)CeA@H@-OnsHtT^g7vdOK^VUze14+>o9TXb}(2Yr@`&h6u(?|x9=lpy4%93HlITUWT#OZh8NW*P3p z+<(zsj_XdrF_VIptZ^r;1ChhCs@=%4PutmVqZ^r*44+?g5B1g=of${L z+jn$9pAW^#%sP>TexggQ0_@xred#RAQosOn#_jam3oVypZsexYwaW8->3jAZTK#MP zpURtexA;(^=jl}!@A}YHtE_u3Px;VprJrQ(=tFN;w6pIU`jE+%A4A!jeCY5Y-ve>W zeCS&Iiu5IzTO(K;)S~*zo186{nk~BSP5wG+smmiVceSXuN9edWwTbS?syTxAbI!23 z2yq-Xwm1Z}K=L?5AP) z$~hr#a@jc4p;pADuCe9n!-#XzW&GtX@mzX&UG!z_Xw26Z=sqkz19NhkbjnjPA7Jkb z*}P5T&_7k~h_6+j7t!qqo-=PTN9C);HwW~$J~AA#S1b&30HylYojL$q?1|fH5B|R1 zwyjEmL~^YNamwDgLB1&B-Sk3{w4R{<8$sPRr7gq=(kx} z5~>>NLESU5$MWq(U&evr;Dl7@{grMrwjv(94nL>73+tnUN>Mp8MYuHD*Gtt2>n7hf zPA1Xt>sjAjD$m`Db=##zi8!oJR6cpvH9@DEyXE@bCs?24Tb1lvdI~xepKQqh@LWuz zgf$Lv%$Da~mQXZ&EjhC_(!5b$>9~DX;BK6+$NVR6N+K?48HmSRMc+m#`=!$8Pc|ga zQ8fhKpGi19YCPhI2Y+e4UV#Ta)_0kB+`|KX&F1ac3;cGx-EL9#9QsSx*q1Rj$XB_T zhTnS!oVJ@-q_@$X&P}PPxO&Hp_zw;*DUfrc)YsPDjqoqqXg^?&K4hBmqGr-qKPr*jH_Gg-ABm6qHf}r<^Hz0qFHg|+qX}0$ zo_v<`BfY`ky*m7UBx83w=;(+q)oq#I<%7AcBL#aUC;bFYpL&?RdyF4Vl9e+}oasj! zZcmB*tl~%Ivo{}2Rq~^7f!DnIr(vF})C*nFuZRPo^UL=<_N86h>Rlx-`jTXBwN~I! zU)r8l^-59Sm$b&HcDf=?IPIDd=1abGX^D{ayA8hNoK_*aWUVii=6wzwBkM~=-gjE< zM-Ug98$XL-&RLh(9=o7;A8OpeC|||(p&K(Tr7O{I+HHM{ zpfN<%n=C(nf46FfH|8mpEg9tp{O@sESL5SN0ke(;@~I#$+BCYy1J|Y8zaR6$T*JeL zoyp@c$7Sxy&($-4@8726HtB5QlFX`yt5=RfU%v#^DWUMIG4HR;PxADlDE_BSIpCEe z-tRXHPV%D16_0N?HGwA&8BMIc|I1f5y=Lr9@L++L8}}n0m^=OE;@CLUkAK~KUG56- z-075KcP#Yg37yx4@Vt%Il-8O%sAIVp_)~-zbG%olj%nSA?ejIgx+z|?eSz|9!O}m+ zXOXth!e%=caxr;(S?!z)rI##G6iZ3qv$AXMfP)JyJ>=M?QOcyJgK}*@ zMLbAsh00dmgKT>Im?wV$>WV%ks1{a$@5jy7F=S${h4_}4HCb=DG{C5m)_;uk&*O1r zDQB@RnO^_W6LTClXP@sq2)%5|L8Exp1}_pfR`@pZ!i#bgfArjahxxdvVxvYQ{w;d$ zIX?%w)xLZ)>pRYvUpA|=NntJOBWowzDI4oWERitTZx7JVNg&#{7Wq>-;rixkUE~)c z)BAtb!|FC%&yN*Aeb48ibjEA+pV4iSoM_9T3%-+-T#$cm{x0mikPrUQx~VJrTs>=Uv0`{bsZK(CS_dgGxD|DAvsA7JuNN-2H`g9M{Jlc2Gx*I&&N+d`Z ze!F!IZ)95GL-(yXfST6eY~vo#khfH{PGr23OUKKKG+0?RSPB&im2q zgM-sd9sOv=ZL4VZMn8&T%{*X@x!pf{{X*h^^SLIWx2os*(a|UO)iV?@-#l{v=Mi~7 zT4%DnTVa+TDF=tPC?H;Nvq}pBUxK&yE|!f-^`)V@FI$d#Vg77EgKN1F;>T%0N0~)_ zWPe?xb^+#o8y&ouI!@e=;$~WuZXEWdLc#u&=Wl(f{F)KN^tLZ0S-2T2_wc3EEGw_h zExvT($xQ_@8DEk;wITm9))U%w#tBO8KGe`-dU9o{4>fq5n_c7sAE**c=|5;%dbQFP! z(>L>S>EzSf6E4RhFBejA>>Kp$xtwgXD)`p+wn!`=Xa%0kOXSb30zVWN2hSc@_bf#VI4v7*#rN(#@`Bc!i(D<_1K(X|1tb5cVyQfT z)9|0;^6&eJ{iyu%?d>kKyXN!DL~|EflBrQL+tG#QeJ|RWZ0bUDmW=(;rR_o{A*(Fa zX1LPVM$J|AW=wLgT(Y{h*Ns*b-cK5N;zmM@6$!=A{oWrM7tVnmWYpg?%Ll%rbkA?8 zVcy;pu3eR1xW}6c6f+HZguUr~@PTt{USPg%kkd7#EH1SdO6>ifhy04!SHX)VT&fmx zx%e^>^O85&d)~EzK65)qHVk=<%OWkF=bF7JmE%_R9&yMfXrJD)gW%(dJ2$tZKC(Z$ zS^AkE`dfE2-e~>|KaL2q;8QK|J5=<8%3Yk#iHo|363g4rqfodo!M_$GMJVC&*%OZ-^GZOnSJ<%v7pUd?N9-N}u- z6fRHgKpye;`TSSk+KqPa6WioKxlN)b{kQ*p9`GOiekpa!O_Ol<2E)yKT zGuEH<*;AtB;{!-QPw4F3umI{WoaWmr96+{iG1dAH{i$4PU+CO?fAaj{Qg^Y-pF~-S z*9T?2;?+b?gnC{qmkaWu+@Wy6x{zPn+p%xtTv@$nbCMSnE%B ze!eQ)G!ygI19`T3^7zxXt_6lx1AfHyEX`LL_M`L%^{@5_`IAK8h~bE+KkUa$Ea3k1M?%-%uE%`feNQF6clptrM9!@V zjaVn_>J)Q(<45nrCs|*|`|f1F+xq3EA07XuCqM3tAE~nrE1Y8aQB{4n$w$m-XFQ)b zX^w#(73|{=KDow^?pr7dDNn_5KNrhZH2R`mMnIpeK1 z=I7sGesI8e3C#c>dZHM+dDK)N%2AND^M~G^e`4=~#qg!ia=2Zv5xj9y^4OiXY`J77 z7doO29oWWWZG9SakoSU;t810KsQq{{qxC21wA**QuY8NXB3)%Aj_`f3RZQ>r1D`X^ zqr1B6V$@~mA^+%o+9UY>o$z88dJ8N18#VcK)0Ew*G=ehqc5nN?eL*x%6k`TjQ1hwXG?!d<$2SqoShOOn7f{QdQ8&O z!`_q^VAU&d2smzfTWgGkH*FBSAl?c8{{joXF@8Fvt8feW5^m z=;=I~`-b>ByeM-=_Dv(;wUB+4UWkhq%}^Oov)1#X2tgONFmSun{A5ZI`jBkCaILx|GIeXym4~f-bn}l za((~N`|1C_@7EdlOP|u0B*;@?*D6qB6(ak=94wX-u&b0}kWo>5M zOpO4FaJ#=X4|r`k>#&w*3-I^&%;ZIn{K;>ZZLh^0e{yad&M=Mir|<+XaTeE~^tPUR zCd2TjaoLM9y;=Tr>0a8TtHJ)1)V{OA61@J$`c(m`DgJci^3$T#asJeIcJ!*KAb(P6 zdZv);falYvK3j+Nz}e+1Zv~0?Q(^b^S$+roDSbhfNFn&W<x=dzb~9Q!*wFpkJPB~c#E?iEq)^K@Uo#F zwTGl%E(gC~<-f7Gztxu(^WOWuA;y;sjC#g2nETR`2@Of@Qogj%@Sbo?nGXf}71q8t z@}c3(FE0dIyva=c#u#6QHx)W%?Xu%V9`#~cS|9S15`Ho{vP;1WhxGW3tKb)DK3^u` zi1ob4df}_kJG>05t(i~ZWAy#}T_p+iDvKkgX+w{7Jyk9&>jWL7PQ$I&4f(=+FTD*d z|2Pi+y}z5HdRHa2>&Iwwo48|r@n3QIZ}$^5^!;(oBPMlO$*PqoA@9198NM3v%qd;+ z^iCJ#DJW3)Cv>Y;=Q+y-bFm&7J|=2?#)p{dMgwh|kw+L#ugd%CP4~BbeU}RT>5I#O zj2O%rZeAwl95M@flYZD8-d9}Y0X51tMR4iK7Tw-LW8n73_6fGrxnx`Dv7!{`)qS$3 zmc=>vkS=DYTIzbp3ZhYx`$yLEU@a zv8I>k4`VjZJRx5Z^|nHfQwMF}<6l)`ERTADP4BF}HMO$n)W?I1+*YwD;dF6!**tez zk?gB4;>o0n18Yy`!XK^pcoQ9Z$soN9)N{e#@weyc|33b82L2eg{!cqU(?yEs?yd16 z58h%^HB4m8E(XuYj8YK71Fd{o!A7_F|R-k82)1cf0RT%XyO6#TEWk7js0Y z|Fu6!8~?D5edA970uS_}@c4&Co}t$>e>y+$ji=Bpe_Hb`Qp(|^Ke-KQc_sV#Q|l;& z%dzhM#9JJ-ffqR5aq+u((`tW8Tvi@>3%r{5{;73Rp?-97?X8VvmVV??JL3NTu=n0! zRb@-sxPll!ktkwB6a$KYl2nkFoO3+HbI3_@j*^22s3;&Ph=LLY6c7|d#ei7}Dp^c` zN)p6C_?Gi~`u6YX`}H?>X8O)_&y|1b*_(6r-lx{uwQ9Xp^_Ha;!9}uPH2Dy@j3RM# zxkd~YbFXMtB6v&OZNV`Xg0D2|?bs*K6b&<0VM<~$!C53UUbE>( z)+g@Fl6*P8+Ks1152e|}K8wxhSkBEMe4Se^z8)v_Ds>X&E9&J)9`^^9ho1uM0I_T=g~z+S~WV2QtSH z{=IWo-;nk0HV3tH@L)97*LZE|p+w_w@u9vUhG^U!Y??~l0>gt>(5+7dt_{ES_ zB-(~F$9qZrtbMP+v-u)i8YfnwIA?lW@7 zqYHCM{&-`3!h~EH4yK7Fz9IEf8)URL2)l=1lYjewX-Y6+>Wkr66@()VIV)Sv2ZANo z`pad4_n5s{sw+LYqUxKl|Re){Ctid8u;_B3l)#q)CMn*xQx^& zTb&e{pI=l@2Ng!)0G0dGRpPfM&+c7nvn39%uPNSo=^lrD{aa5iCw98Bo;~G7W*m}5 zUADTJ#lhG^!Ix=I98^muOk>63z z(O^Me^OpF{0eYeClLW_}b72|7(^xp2k(GXx8;cj=!xW)-^1VX#Qb}TG=QX?w9X?2K zmc!pW1WICIQ1q-vjY!Mk8)*lQ#zM17iC>4<<;BbUq)Q17{<{6Mq#MCgs%Dj9E~>|3 z`+BoLMwVEdGF-i3dqE7eKGjX}>J!{z#wU)Ko!H;YCl;xX5Wmjii;vg)XnYuwR*meB z#+oI_+w>qB$2L#m{vjZM3NV2x0AToLgiPD zjU-M@)3Aj9rbkNbvU$qzNCWWkFuV==Qr-Rf#~ny%ia8t@XdL8S~(Q? zlYY{yYab>0fu&@YNwvurg#jWjb`28TKBm`jCh70Q#A4ePl zwInYghhf~*=ylVTP&`kS_}03C@So)g$TD0A0p(lobqf^|r`mt}f#WIS z7pDvl3fTwYz|7idk^OPm_f5<9eG7nB>+u|};sEd%JA6qZ{LVb1^Jdw* zNL~4D$)^u0ec`dR*j~oX2SFEQ=xeulBmK3^LPs_)xE2paFHG?Q%3a(l2Hg;UN!{9K zjVVg&ck=o?HG)eG$Lfg)L;QRC{Q3VM8u;`2zkk&D7)jp^zp8AHSEbFv4;DB;YDk%L z!5k+XVKv*c>bP@~zCa za#m8061wxL%~GK#e9axy-mV^nb~&@=Y~?8Q-&nR!$}I|#*`BXE$@`|+y7|t2$7oVF zCp!P7L=4LG1QaZ-Vz5Jy|GA-F45qJ71X~lFA?HbwLgxM$42UdT`NPigEEVP7luhhz zYf1?SZhSzC`>Akv3~WDK6H_Pt?~bA11bLDdcoq95_lm_})j^9Hkh~7jJBDjFko>@6 zm+Rk?pGQO3?v>6tVvnsWYxk%-MWa^Kd4UVb`>QZ0lh{M@{JJN5=y~>#Jnrbe$d%io zai!+Wt?Ieau(6Hj2q*b{TI@w9ZHb@UNf+ypk{gL!j(hLu6(Yef+S7P;oao0o;bJk_ zpN!DjJ6pXXu#YN0D-(>sdnS)39mHR@Sn$?9q%Is|FK@1>@eW79jVFR<*Mwuw2v^|@ z*=KVwd|kBl2*ERaS~s?kJiERr39R}H+T~y7=|Lv9`Ktu&@X3G8RNy&x@V*t_Tt#qz zuD9=&9bZEDp3Z5mDe5D67d@VzSR@F4L730c+8I)ZWo&fYOC<{Y540|=pb*)225NQeWk}L#2P6$;i zo0#K|Dt$59vnW5T=f6G?K1}k$jUR98P4>m`SGyG!gFY}7-4;5{qf&cw>__yQy?nO=GaE~1xns(e9UTTjlr^)L*f;(OU?g@smm?End>E^xKx>Qsn)5%v;HnP2wrWx2l{o z77_krJue+0d*c7;ryo@$`3MEe@@~+RI8D^qT`N6^eQIHJd*9&`fkvtAEb&UD?nEhU z`a4S$L{85}*FBB`>;41ri%1^yOPxWk;zZ)dR%RM1+#xvS{87oo*Tl~{UfJwJWF>b= zLpG5wj4B5BKSZHpG_o{!Gzw#NcX-VhF^}%=gY!T7-YQcrt`Lsy6~#nxFBO#*w=B+dUe|G9<6gz$0h=k_hM? z&0ph2?9W-ltqo_Y!*On8wazH1XTRc98Sqgz9D6yqj+wB8BW7cf$y$P63|igL8YTJ6 zci3#d?HK#-i~s$0p8T_p1?_xJ705V(uE$`H&wE#tgeUuLm-9qahu{ixCV#LU6wv%y z6bd@wGOGrKaJVd0t23P<{CPGf3LMu(U=I65yGMkdU{x%gd%Wv=qrC+>#P;zGkJze`w&ZZ_k+yZ_ka>wnvUDx0>lbVwXcIs%~;Q;JpwNbLU=1IB!g>VQzE+ zTgjQW19mR>W!#TCrPc@rk^U!F=RDt`K6qx|A{FX8V`8usfOB0PTI+{RwA5L+_sIV-lyb^BmzJ z{6j;x^&jZxgp+GdY{!bz)E@-qfQqbS>CW;y^Dt=@|a))O97zkx6<()TJyA+$4P+7Dwz zo8rzq@WWfhg|(D}#2(KnkbJD{2L;Jco{%D6EI9DevzM9R$2l*@&Z_!gkHE=e*#cgu zoK0eCcXdEf;(*BZT{I+zTHm|#)Di|k9bZa5TVU$;@txIYsknT~Pcvkf&HuXb{NFM! z|17`5)nH&RtDil#?@(Q{JI5Y&t4B0Nd+aeO-^P;0rk2j;M_vW3F>^LDr5f zLg$p-fp7NndNV_zZuITl^K`;9nmJI_wkZT=U7>=~AA`|9)nv8(RxoaC_^f^JJmLFa zbNN~c;hD|{r_0x)KX{|v4&AsJj4TI_`zscQU|Eq=`uyY&=sA_Vdv<~BKVMST$Sfdz zp~Ac(El7Uv206u{4TMK1+DFERYn<@bd%V{YCh?y4r=GA55WIY(#6CUPnD7=!9Lpgj zvDj=XdM`$g@Dm9P%)b>$>Yf+0%?^+_kZ{U^_b+7kBf&dfcw#llBi7md{PpuN1b-WH zeoW%@QxaDlrzJ?gYNIcCJdT8is9v%65UC?Rq}ZarZIJXKv^P`#K;m2Vo0<=f5I(rY zOmpJ(NZs@;!=>!0M&TG>^S4e34ad5g*(u9Z!Z+0>KDsEK)SI-0pIAor4VowKevBmN zxp}TA$tQ(lxY$%XB8YshapqBi4&n3YSgvDE>L@5I)yEH$eCHnL(6=Qdp0%9&2? zDhq5DH!!KBS;9@1PD_)OhHcrGzOc*CkXcmTQ(0*RJ#9|TI~=woxJ#$ud(sh&qkUg% z0zC1c)gs~4m^TV@rUN5xd!V|L>06AD2dO6>=adoffN)^{4S8P=NQVgan|=3yeuuVt z?L|+RKPkR%l;efH$L=p16ZFQ&(%ER;L~lIk3cXYk=LMx}-a#!a_LvCi5n1eD4cje& zh4WU^P*1t16;fe=&UuS#+T6|IcHQap!L63~9JGQZCfVw5<5{zrCrcZX`peP&lU&_||8L$)r|{3gST_FHL6z_UI?TI%$$d>QKE>5s zvpy08`cT%E0iGZj-EKNoq#J~3hE@G*n1W$0GhCrkP3(4J*SgO;Ly)xWL~04C(~3S= zXug{C-4a~ey*7#TF_2a}kxozeTvggXg}FKrURQb6S99_S@96WWs+M8W7lB7?$2`&p zAnVx4D_YK>;EiNeXea#8i@gR(DI@7GHngmONXLx;V# zE+V`snoVg|B4Oa7-7d+Zg`ud!_Ktfh;bEy6P`ym}e&l!*B3ciI;rWIOfdPc?o7;Nq zB7HKcGi#YhWgvY3r1`%K%7~M7WaF*ajvRvPoNx`EWF>LG&cI{qsNv|g{mkw`_%G}Y zLWROp!m)&RMfUyx!mn5OqI`#HIM@w~)|-7H{Y*L=W|B$0NzRKmY~7{%(Z2L)JpSG<;I(=;$BGQ&zv(CD0XuWsLK_4nDi}X4 zv4Og1(@^z@Ext1+Xm-E1Ly_fcSJe)CY#Z&{UT5Nn5!uxtGd)gNU9H9?w~zQCtXK97 zU)zULALCLbsvENV9jkEF9Wfzi^KUzOVEYXLOCxO$#O%Jm4LQsYat_Pz)~v(=S{ zN&JCO_x52M+ZlunPujcNvSr@u16fHdSy{9=zU$e+{yBNL`UPP|-N#jpL zV0WNA?rLBN)+Al)zAzOGH_nw0419xeb56##vem(OB-C%)rWK5^kS8if=7wT_fi3sc z8q&`^_0S3KeT4t|z1Hay?qOK1`Tf2qH|ZNQSip56Jq&@h^iIO$|Ld05^0<@`|Npsz zX)oc!`$g~nYI4+1!6qxq8l2|@nfwy%(3)7RZe?QsyZR_Hk)l1)x4^BA$J;t5s5oH! z*~B}@3a<)iQ~7tTVa}yEf8HeO_Z(N|a*AIpLvL9MBl*?UNo@&G|XkEXfNem`rYO7xshW*GCqg zp7`T+r`Tmp!jJy8Qf6wvKLBe&p6yEr@Wv%S&Z6&G-dMxCJ4z(m8=ku!old*s4ZHf& z50hnm5N>Xe_HG{OM|Y}KD{6}`o-x>0g}?Se%|&~~c^tktQ+~uuMT7K5stV3~Lq~AN zYszbGzaY<<^SE)|MPCGp=dX9K^uxJxcNS^nkbZLyH*VdhO@3d#eXD?808Gn5E~oMZ zATK-zMKk_5DcAd@eqjJ&iJhWQ$k zc$?|^rsR9sW^kWBa!oXC$KO78X=v3-&M6C&XY|Uao}*#RE<~Fv+X_9kk3BX~tnp|} zOR_c78Y)X`m3;K6fBW8V@ALEchX($9_UY%i{D0%JKece(S(+(+tB=!rx1HR(FAVWP zH}`Uq{^mlnd(_sGzEq~G-{|rXoWgdN$ZAfFqVv@4H}>DK}g-lh8Jr+ zv7zrTYu2N;jvc4;!yk<++ubS){1NeZhmjCjSF|=|NPn;jfJFOwo=TNK`1JGhTGEGM&6bAS z1%!|Ew|f40{6ho3+K2mCyr#U^7FX6kIvHm1_w(|%`f8^w%dVV~!Eew1JpQ49U-kM^ zAAe1KaB@ZDt@G2vFXOjm)vMcmHKZ@=tk#IfqJ!OYK=mRGvt{_~oa z$mi}Dk}U7Ow88^Vytq|Wi#@P@jjJ5fB~N@5H#soJ$O|JL^FvrtNqk1XG^%9U3z42@SL`t}v-E%;+@5E=E{ONTZ4c)wyN?ln*(j5JRwxhxn-h9po0C3A z*M>}Y@%w>8AR)s1m=6}pX|jHQ?2Vi+5|=Vgd4YZLyjv-u9#E)Xx8y$69fGMM7EeOm zv0PFlyLQwap0`WydK~t^1JifTLL?4#=Obs<9!75@R6bR!9rr=-MChr3D}H!r=b08w z{O#Pp)4OBE1JJmHedBRU!gn^8yXp+{el&JT%r)Qj(=Puqzy3XWY_qrAM`kPhd!PIH z{~sFoX@CFK=0U%;Om!|N;fIjuEBvMwif7Zwds#?-3#NBmO{(Id=;opK{;U#;-|D5K zqGwBsZ#cL(qcZd@!jQ+A?RY!K7tha_e7$Vpfxe}#5lIpr=#(8#9t|Y%b=FPi(=L0! z`^_!?eI!42t3~%t>H#mrr_2;jo%Vs*s@j43&j>HE=!kISupby3zC4?l@k6%T^GQ)Y zfAGdu9~nML>I*i{S$|+C0I0Y-a8V)zla@_IN4QD+@8ABugx#Dzn0ItK7@zNO`MU@P zV%3`h$s0EVkl(e2aXslLEfl&bYtyVZGR^t8S~R{=HrP?RDRA34hE5jW)hL0PpOEdIzfmuvl8_)|}uFyjHKtTyf^#f3Dv?=WmZi zohZo{oNjAvNd^+4_G_bHw`P1btBZ(FXo9a%BdVLC4cY% zpNoo=Z6@*2ljAK7=KuBQ`0aE3Z#|ZtUbY~EkqU3Y4qeIhKke}^<2*{S9p%0DYdq+e z^FQSe4g6eh{-}8%6D7K^ojU^3LyoVRzlDM^@r^wn;gN}7=xFNJ;sZUpE9K5geyB@J zzka9MA8s9bhZnx_M}XM%L9VC%cs$wQDEz=5Qt79KS2_iQN$l>X(<205S!V8k@YO%x zKZT8o^b)5KY<=yqFgh#p;*NKkz?@)AnxA_;CLfG@6$vFRM}PI#|0woj?PZ0J})u%uhaw-;VQog*8@=Ggffjv3P#6 zgB5=J|DVS{H1N|-|55Xx{@ki{Wz~caIqS`=2H{0_h!W0_-n}2D5wylv+F_s=Z%7eT zBmBD2i+b-7UW7SW1;Zf($7Qchs?aJ5!1||IHoZze{n9^bJpS3&(dXaMe(Hb)7%auV z9xJdyKJ7{UvV{(?jnr{Ir0s}|;xg{u_Mdk7pFIvgum3{>KkfK`b{;rAoLi(w>Y`UJ ztdy}LI7ov;(9GIw^`SEjp{1Nj* zxK{UD&;myYNaZm3oOeL^g(X7a9Clb`DCoQ}RRKTe+0S|QN6fRI^XTV1`ZVbAsmn@0zo!j-V+P z`WGE{Kw9+0OT9a7AhfxPCfsibzs|eG^j*3rqNTS9?^3}(d!96z-KvU@q~XZ(E0%7& zG(0>KZW49E1d>OT<1LOVKsHyFxhq5RpZ*;G?BDr6ef>K(-JJF~Y5mmWzYWCSzxV&s zd z$M5dQbwK29OHO(d2SmG$#$A$dAn)}x#ahA>s8{fyFy(_i#>E)h-`=qYLqVCp9pQZ~ zGroDyyvPol&EW0MYlo!*;zJi3NWGjx`Qy6*wy?Gx%GDCL#rUjcKpf!}{*UU9pVz`; z8}C2zz=^|M^sah%+u7 zm0GKF+6CXO73XIeyI{F>pT%PXXS^~D+9{Ukgx*^&41Qcrc>jK=?n#3q)GN$0yPX`7 z)h}x9w%QR3@7&W@yW@bk{5!*EO&xGUA=vKdggw$s7=+@V{^R^SP8~%?LmIY-aP9oM zbGx)}rd=_F-$_Hw z+k<+{(4v~OQMths60a>*)Fhi=-8Th0dL|QmS-LbM)Rlss`|1qhH;rJ-dmvV5!r*uB z`)||u|FZA+qt9m?`^L6`-w+z}mUyfV(nkWjlviK140h5~(kHh4@%YOh{rvya*E`7f z<)NjZ8Z06$o@fcEVL18lqHdySNEMKmUPzjN`E2-*e@ff}B$okVh|4)zCfA#*G zBVO2b4^crEw=W}TfQkz*?jP9wmWt^~y+GALDhkpB`*tp(VO`&tJK-p6BV~`4 zGdfRr2~=-!!S&PbVQJGYNMzn|Msm^xl+nHKoe#NS-oU(U7CIMjWsg14jdaF9da%rv z?@rh>+Ek?x<%CDNdFA3?9U;rpdd`IAh)YjKsTG$Tu}=m_OKZ0#Uirh1Km-40u}UC+Aw)fP#z9aghNw#Z*~#IsVJ;2pEJDNYQw_az^wGx3vv;cJS3PW!ZrG?dW&Alm9qhye6;WhL2>u zVw!L%G|jh#<`q$st?e{0whE?Btg%Mxev#d6(^RM`uIKOww!jUp?xrZXh&~?jqEq9*P2lvzWS8iswQJ-TzmP_g<_1PNu9g*w;AL4;=v8{yvE>_6**q? z)d&JyA(=5jzvf5(SLe$g{e53EyPlQ-6HtoEiq6YwgIWD}QS^)y#ArTZZZCf2Yx<+_ z`&Yl-u0GGxSIbmj_v*vf&o(Mho}<0CH&F%e6c&l}NUK1$tFx`IT^VK)Ywat)DWZGb z0oKWQMHJS&(C%5GfUK!)5=Yn-P$6o=8>STSSJ%s5<@r@gGbZUb(eQ5d z5+Cs;H27B?+|S2E!=yXE^U*0PjwI^r-7-dn3!(*>xM`41$hm!riv|&c>YY+6X?V%s zoa9Kp-|#Ug+KTY&elCi5X`Mm?$8)-!S9e*VA&*IhHs1!XJ?GGtsoBHuR{Ng4IgU8i zuJ^w7s}sCN8guGqospm*re*rf1w;DspLC{N@KnMygLUpc9Q)?dzxII(9(KF&RvEfL zwW@Vv+7)Mn8b!_=cXWpMX=AP0J|}D_n0~NT)d>c!qH_}p95E>L^m2={11S7~;-Pd7 zXpMfZ+L2-p&z5GxPwe&>-u9^4_Ocx!qZT-Z#M@!t;N*q<$)tZ@+rkw)ZS2r^E8c%M zlN}_=BhIIE*&=P%k!6LOZLr1t%DoVR*A^f4Ykj%Z22%}w!}o`*!LFS(XLW@&=H8k! zKRwVIolkhaJ-lTF$wVVI-3wNz$T_}wV#o^H58Agi6TY}#=ErJdY4y8vs90lGqt3XF ziifku*$3sQ$XnpMr^nV5QC$UITOCZ{(f_tB<*F&ZE&5WLHrEVkQj<@%B~rjv>AZi% z91{$hiPW21p@3#jJ+O8Y1&;iDPnEii(O}Wr(x3b*fAcT*{j11tH=Z)`51Yg1vu2BU zfjLa*9vpodVGgD=4ehC9GhE+)c;%%aQ)uw97|CQBfr(Qm<>SGh_WF++-+I>536m?!s#Zt@FY;)z1Dak!$vQPnPIVy2SC6tiSc<|lb?@9=y?JkN6RmAVz-=xvK zx9y2GUi5mf-<8tE^G5lBYbpB3Qa$o|kj(%tYP#!XT}-gg^*XI}xheMY8a8AUo4`}> zn|H=36HFT3)7|Z31SLvGP5Mnel$q{1hlTnOj2EeOlhFr5Mlq-TdVSo_$|}-`)+hZN zLZt+|^wIN#l4c!c0NSg!^FCiNK)#Hv>au4BNF7~LtaIA{rHd8$H$MLF+c)am6&}5G z&GgAkt|}FkwENgu<@c4CLz)%Luu>+Z3hj{FAQB} z6QH5)y>Nx*MjA}r^q;1$ra`#oX7WW&;va|BSq_mnPQFpj@+$Iq_LXs_TFNx&bBLvN zI@0j|gtXwBd>R%g4GLaeYlR2}R^3KUYh(!K?5v@;Mg0ZW#Zouzk#wR{r=iOc^syFW z@^sE%>2#UCd(9c+O82w4zdPfuhZcs#)$qPUvcNy5jrL5ha~> zrLPD%pw{8trM;)^aogq2;U^32u{Y=zrF7a3&)F_yIX<+5O=+lx^d&o_oeMI|)K|U}X(!6If`6H>u9@UG27zo`2vYeU>fkn&ic`?QK!% z{y4`&kl+>>-b%dhY|x$R)k_JtLCaw^w?~pTNd9=IfS%3sT3gW3E5~75>p$^Efo9Sa$X$x2W=e zoQKokJOka0Po~Jb?LdOkjd6bSg&lp~#BUB@Dt10=goUfL^;a#3vX4H5eG!gkcCrW=xV)uIh3_-9&3Fik9#LSeL7vD zfKQi?U%5}Oi0ux{nqh8=*fi7GE~};t3C;t>Vh2^R?Y86~w}J-z-YfJl%V~l|VK4m( zWpzv+>~X#?uMT^^g{SyEHNj7}$$fI07A9DemksULhE?gPA3C(L$99zO8bt^17BKQ0 zzo~-*CtBKet<;5l-8WtM>Vnb!SdYb9T?F+Drwl6TLCsGxxaG1Q9v}H~O<=V?zHE$j zmI&0xVCTqcj&^~+RqET5PK0$O%RP0lCy zac=iEp$sb7r{5QGX`!O>LZ<&Mf@4q&S;*r##?)X6XmwH5WIB7_u#WsR3TbiZ#l3n9Gii-wje&?(r1HS})u zei3^#Em-zWhshp0?ssoeCVuX*uBoFYUUvAr^L~+?t{n`d?Cj~4?Xa@!ONg9=9fpzy z7w;0VL;A;N*M1&5sCSy$cauEdnA~RvoayWkR#dig;iN6-F5GwNd~SLo-H!;R_HJV*+R_!vC1YLBJDQWx@@oovoYmvdXEi`@NE_i%(KDruW~y_O-P-` z+Qm;lve-c7n{J2pGi!8zQWFj$yvOaIN_HqDSffg&$8Y;SvQE8tTOluNjf8R*KjUdD zysMZIn_o+C;-L}s@pD%A@mBob-i!b2`L;L0A*E9Kklqx#C?-rFfj(PLSg;u*_ern&jKh5)S z0lPk!1n*Gw1@+K7r^hSrq7L+gc|BFPsG(WltoRxi8Mtr#Dv~b07m76!F8%I%z%1N9 zyzS~PD4t^xoSP^C-(}(Ew&CKSvR@4{YZF6AUddAX7%`L{zGyvODULgV9xRoS5_tA9 z^X4a|J=m(eB91b-8{OMdeRmh`#{KAf31b$!AsICy%PcDTm(lC*jiXV1>74PWyJ7d{ zG0mYJaP&xbd15V#Z2PZAg*4^R`bOQ2b&ou_?9)By9v8zZTFnpn=UuEA)t z7P?kP?Y+*XjU1|f7JZ~P(%v#&q+`~>Yn7-i8h$#sRBbBr?4u5{b{ZSis_DZ2^yZap zcXUyczqZyuQV&;`GAJtK=s}=KRbqlk9~Z?t;zf+~amLc3iJ_Ft8>i9mQU(J^m!8YH zKr_JB1D6j6<{H4qa+~_(5<_G(1TQ(i+Yln-A3Po$GK6M&q4mHmL);XD={_bSgu8Bh zDs5?m9=XadpY9rg?Ol*c)mCFX;dvzEUuBG^#r}zB)>6>me{ziTDh2fYRMrhmCU~{Y zto}%oDI~W^Rt~C}V)ge|`@bK%R zYcf`tzW(XMYqGDXs|?a#IYscIm;K2_FKNh5HQ3}>L&FaCp&_wkvJd&{l~WQ;!_cD9 z+qcw+9u~_-KO*>&Y0D$0HLpnDrVX(htJ$a)>K?KXSh-?Nrm!E zK+Pf^Dx@625yl9Oi! zTjfrX+q!1BdC$i=o!$%+wkwx#cbUTI&7NSP4W_X0=1E$<)D(q@p&M8poBZwlv|08t zHB*%WUXS2A&IFe^IvrGZLzm#=LQXNCIgN3MYpUcpoe^rj@9N-=G{i}pY~El4LrgA; z+o-mX*yji9l^rq+FnWhGXseU~qNQ!L4`0$p+nvu0zPt2cFlZv!d_xag#u?8nApZ3D z-91&d+jJ0lwp{7UY7MC5mb6|ur3&Q&0rdc3W%PA*tv$`61QrkP$t~=Pa8*^k<{{UIysCzh8EKqoUR9cOMH>0nk5A5N z--|OB+Jd!A_oC-1tMtHbY3%SHe6)q&?b%mfUVOnQjoyPoe3e0a!6$k`Uwo4^YCj&Y z6}Tu3+4Y`Jx5r9DF;Jl5QUtI(aZub>7(TB3oJeQ#186=0tI?UN?KgnTttfj)vGg)>rY)j^^KVZ~`X5t4 zzHV}LRJ1C#)Gt0xPvVwYCPxaNK2pQI+}RT{*VGZr{fPO2fd<;?Zc5k*YhtYGi*5Tn zEj*NTm8F~2Lgn-8s>8VM2mxm z+r9O1ZcW}x={kKB@;#fgYrO%&X`(EbwGEJ1q#jdWZ-93B7K_d?1Hfs8#ZhTPFblC3 z?8-94UHyCeJZ~D}^2c>qwM2IZ_bXoR{@Mr}`wr<<>@xyw4!K(0)ea1efpe$u;YqvFnZ+5HEB*h$^>7D!4c3VK@ zE={zQ&Ju@mnheGxEO9e>o7AT7rdT`o%pvVIGu+Uu-tQu5j`9`al=HXD5#o4b_M({u zDmV(23XfPI>uGh(n@yG&9Ayk(m9)ejj-u%CbW2D*^EI*TwZu$an?@E*P z;Y!fP7Y@X(coZ$x5i+9UNlp5_77r>8Gq0!3C;NZ*RXml8&QkHJv8*QaI^kQhFB@6d zMnz_|@KxCvDuUiTXrK{XJSOhb@)SiH4l5XLOtd3;wIW9v&Jn!jjP0uA)emS;@fR2$ z_&~!)&D-(*Mpnocc=+L_*oI-v8#aIO_jFI74_a)XAz*6()P;s|cUU3^81;6AZ- zB@&nC5_?N6ec;kbg~99kOTlE_yT5hnRr~=eDqem}T1BNo)W#smMS=>3lb`ZRgsGs7 zh<+?sNX2%ug_5V=Sfbc1ynFk3ON?>uSz8xuiQexAE%PXrFi};0uy~~VDY&(K0|$!;?Yd`Z@G`(g?vb(yP` zZ%o0%V@K;I>%QH2wrWuYQ^e-#Umo0P3SZwPHcZ4W-<`|2#X8c2?4Q_A4iQ|@HF9C} zCRG#U#GJ$SixfOGZT4f0p@4f=V1}9+1ynN2j)pk0>d>2%xrV^0Ll?V=|FdYI zA#3?O100O~c)Zz0AH$N;sWo49@x?y!aMV0qSe{U@nUkXp{*in3w?1lte)#ebV}&LH zSp26O4r`#X_<M=2%|QSpL0-#(S5}eT9Zo1$^H=gu8`ogbX_mLhbUou$-&_nDB-b1!|Lf? zML0#=Ozys}2(kYD?=p=fPA6A=$qyC7(+#-`5{k zu88kDwH=fr6>*d^Fl~RmB4~bntbU&qQDeC-6VGwq)k#9s3>o3Tg2wc#@ zokc4IPqJ$h+@#BHvAs5KOqROt%hN_}UPCuyt2UM}c39i))Ipi}${sUs9mtD@xOtWn zJAK63OXsr=_OIbfS-o2qOs_j4Petg0kN2LibEz(D9?mo~_UU5xSO$F<$=jURF~*+h zp$Dd$itOW=dKgOo#FKnY4{Y~0R^JlUM`~+bkCO($x3}HD%1G76wu5{Mj#K(L${)RO z(NY6^U^}!fhTi~M4g96=o)i0>|AlignSX@^n;f+G3?cuXp7TPeAvRuV3d$h$1-E#Y zye{E2!upM0->)ztIEdfzQA)EB(n~apx9l|r*Oqtha*i9Lq`Xn?)POOLI$mQwDM!IJ z^=H{7A1N4`=s4y~Gr$zm}LCYX07`Jxw*rwpREmVP!t;J6HH^C442KE3Agz10+=2GRFt=b0gT zzx`DgeKXk2o*N%eGecDF$fffy%+Ma#cdCWNf4VE2M%N{pL#C|mPSX&v8_UkSpZI8w zvhf8PUQERAZ~mfl*xdrJ$Is6U9DmVr$QC$uU_63tZcC_!V}L z`{hi@vl3ZtFx6qsYJslJWr^Y+%rXDKF^xsf%)u^s=@v_+IfiotX8cOb!J=Oh>`-Tp zjpi<^G!7B}RJB8`CBPilyT3Ir3N!~}*@%U{Z4QoI!66|F z%+Z_6ecq_g47=#wy{|uKhK&s0IxM2iz+HBb+h(5`ww^Y*`P{+`qE~b_8xvfEgFpYs zoz-U8dxXi^YoQr}#^3p=_L;(wvHXVO15=ofb+kGanqn+*Bs(UGDKWv)>}JpMU=z^x%oUyML1e|< zh|S_Au!x=n$q$L9=3~ z;L?>86gTy^w37MiS-bh#?gz$@&h%X|m1vAurPjl6H3rW*-BSkZjlnG^c!{3aaY?0J z`#+O;|0SZiDUHMp`(yde4_X*utBd2|zka@>xJ>0#huknUY5A{r9 z3_9y|q1}{Ip_ZTn**vBNpFeA(SWLvbK~Ni~sQUf(qS_b_ys&-&u|Jo~91hps)q);l z_Xm$NT38kLLh${NCXSbkt!O-=iLEBywa(i$!4#cYm>#T&q%{pz*S=~3=Bwls1hh#0 ziV@u+bxl0nzOQg&z6Ne(1x?JJC3t{$VC7jwO{~=AYt5a|#3x2Rsf>r3&`4Rwp=hCr zouOCcET=S3*6+WpPE`}t>GX556Erb?zy1WQOK5j8Tr%MZaCTq9yE!PIGy=cmEF>Qo%k8izeqm7BX^k?5%YeTwmw(p9m zHtNpw#H*Ypznk+)?&n5rEcaFDoFMYcy_wlT4jn8|SfFcXp@U^sT?IBoZj((FSRbkb z$HQuDGc`KkymW212AeMSFNu&G)6|8jzn1rMFI|XTczt#tP8W|^0z`Kd=^{E`FQjxp z7wgyCmuzCvgS-5~n~Zz);FDF+DwmPhIV6A8TDMS5u8cCMG-jz^3nu4pq{^Df+#_|YQtrXmsg2<1CdoODtjZ?!A_ zPuKu?u`_&3o(7OTf#Bw71H8=V^^PU+Mn@g3({BkL67=+%x4eiUgt)}Q19S`_T9GZ? zf7lQsjE_nK9~wgI<<$pUKM;K6B~64^+6V@9l~oDWMldY;`0&Y9BZ6CWo0iToMziMd zLz~UU$UdAgR$^xiTXVO)A5R;@RL#ImjE;g)83D!yk{^3-<)Wr^A`=z_ruY)MU1_DF zr>&| z-!nMNU`k|LN2W#hLJEAMh6P>_nPAX9)J){4hv}(@L?)eKv}4*y_P~KICsJ{u!%@ea==FV7 z_bKAfehL!^n5w+r1ef`5}9B!*QS8TP0A@xtB91Mn;p7Aq}Kx8>GS=@(7V2Acz3fglmeBVV(N`? zq{jZsLxR%{>fE_`CeIkw@7||p`58lw_p=NGiF00{5BmB*&lp$ocE)xR8BepfdQarG zY`a%eM7~+0c~+UsW9CmKL1siM*vdWpz(Hh6S3>5D5z?F#c~Ym1aQKB}S}~FGCuN-< z5;;;nmGFVc`H$;T`wtkA{lCxNO*}@(K3ffCA}!Y@&UGZx!07Y-cp}xVxVs9hGs5Zb zzNX^~$vSZB+alj#L-Yr^1Ro~yX5FjVy2}KoOjsc{M5NdGt8cij7^1>DW$7Lwxxcm6 zzKJ$OUs{-HXsjW2^JSkuLNmnu-EtPQ1i#6b+x}^di6P_|?$m9AA=3WOj2eF^tA#mm zeBL%K_Cu&c6HEKI6d?Vi|FTRDkXBFGAX)^ZTQU_MmH}yv|83i65_mA+CEo(ZF>LxgBgO1~Wn(EEer_ zkz5e!ko@qEzXXup(f_|y07yH!|9Qp;q&JlwvVjZAnxwkX|ITM1LBPwtRct^FU{)!(WAnG~Jn@4sp*T ztM!1inYdIoi2gqRc@IcjYTKjZLO}Dg8?Gt!T>!e-;`6|^P?*E*gj~r_$ARqt zMOI;*8(|Jr4IJCfvxYm&G~Lwd#~bbtvhuRZLZ@(tAl9{itAMn}%L>zAAbp{`!$=EA tYaH3W?qpTC!`DORJLdxFmuFIABW3`{N!~2DoPH?WA^+SZ_m{wO7y!4`O%(tD literal 0 HcmV?d00001 diff --git a/tests/ref_data/lngeo_regrid.nc b/tests/ref_data/lngeo_regrid.nc new file mode 100644 index 0000000000000000000000000000000000000000..af53e66be9f55572044a6a68c22f6612cc7c8434 GIT binary patch literal 198604 zcmeI550sZ>cHdtZWI<+KTv*h=adDwU17%?$6oRrpb`Y7uBJ6Oe94Rtkm}TlPe;A~? zSR8}lz>!)kltSSU41`D}6oNIf5(~u|DXhU@Q7XqkQKFHs7%hR~V!yxd^S!<>?w+3A z&ZTFX``dLc_kG`ap8LD+@BPfZ&wZZfw`|;)v0uIZ*RF5hsZ(aJ&-FU=l@cBrq!Z(Q zF#oN4$Bp?x`_kvze~ZUTzM@n1D=p>q?Xz~pOS*O~{`_ugFRLsnc$E$-{w&FE$U0>m zvTWY$AI__(dSLGC`E%;4vTit4{I5O!n^j-eG<)8H%K0@5W1B&J=?YGUOd*mUAuPwI-Sf+mUJ&#d}Hr# z7A?Z7cXm^!?54-?uj{Tao+R&18Y{jE+0ZW8(9hxb>uyMH%0EvRY4fBl_V_m+(tZ+E=?FMJ#6ld|fT)I_~n>e#dRk9HmO z@yt5a;`2TKp{m(EigyFAb+5kmbg_f<>kT)jqxL~7?ep_*XYmdd8?e^!&!Zm?IrQaQ z`t{UaX7X3LrR6gIAFD0%h3hRXzPn%fmX`j>R~u;T&%V9o-lBIq-c(fEbr4Ci4#nr- zr@SP~I`&E@J4)|dTVMA>-lPu=F*s8)`}h7Nzft>iqt@wnO8fr&8+AR-^F~>d(Et3u zzWNul=a-Ec+j~Lfyqe12uAM!ww_byXXWzN5YS$O{acHsm_9Z#N?9sIQX+&#z{8zcp z?FIU;ia>UsJN&}Wd?}yuUy5?(QIo|tSnQ9FLzkj<#p{{HEC2KV@%ClErr-DlxA%n~ z5BzblkxukkNxKqV-}@B%%u2^3#&!Xyi>Mx3Q(HT=vi70b_yh4}^8F%GXW50vN^8@H z;A>geVoN!jCzMxA$%o(Gv}VYSG*)_2S>jD|Ph1C!_?pzX5+{ z@Y%LMGh=Gz)>K{n2L=}xUtRw2-`tpgiu?R5xnN|mUA&49+%MG}u=DFL=YIsy#Lkbi z3-^@WJAo}SAjrOek6maFUhy3jUv}J>SbS&2mmRd~i<6gg1 zgT=v);%H9?408P6kM?BQr;nZbsJ<@iR2=5O=nG!GIjW=46pq#uk6Lje4Yp+2gXf0+ zP4O+2-knCCR2q3;V%em5^$oM<&96aupg1`4E&Nyfr3JI+HPzJD-SwRTb*v-YHFV&J zf!`T0r>gol?;1RC@X&!nGS)-x7geb$)tOvi7}&-3~k=?=EB|0#{hj^(mrO+#Tw@pYs=*;Qyr@`HxL53BLoZuUAD zRBWD1?>YIS(z(e#Cv&3N@IZLL(F6C*E0A+{h=--~ z(sRF9oarrnyf}#Ky{t)mZcP0@sQwR&hYQ8Q6ZOg7!Q$ZzKOP!~DHn@}O?8QTcjla= z-D{1P;-i<7qTTR7c)-sC;2Yzt9^&Eg#>AVG;>=7PpP=hTIrFe4j}I9yKH8At#nQ$? zF&wPk-jL+$;$(#%59yclb;%#gT5xdn+{DG{iW842E<9XU@Vi;ja(Ey-;N=0vJ!Rrt zKgEe3D?S?{E>-FLK*fo;-pd}gJ4rlVmfOMj>o(~XiW47Je7M?=hqR|bdGMo_AJ0vH zKVF!dIN45iEU|n(cv_0a}Oy$dEemtZ-ebjHQ z_%~f~;Q{5xC&cF)6({xx9=d*Lqw(;7lLz>`qfWwcI@D1(UUs@M$)l1>#J_^LIMR=Y ze4EIZY0nel;SJ(l@A|~;ZW=!XCwbkSemqR|V%15Gh=0AszpXZYDA`NLk41gi>EjyB zh6h|d!1&PO!2#kSI7m(|l#V(JuS5Nr#(3w;<<`GsAFJU0+*kSVC*l$6EacBcacR~yiVr)BZ>Xn`*CooEmsmWgeEGD->*}0&Sgm=6)rtd4 z#k<}X2kQ7CNsKeP-n3{uJP;o6^MH*Df`jDGJH{9B5AzQ#uci@>^Rdb2iTQjR_WOq7 z!pHa z?4vmGjOr*0lpovtYt)r_J?1HT*+tG^z76XnRpRqU;$NqHJ~p}ioZ`c3KOWMai{jvP zaqgTX@@M+v1;vjYEsqW!dVM~k-SB{?2lzZ=p0(ANO|nnSv!VW}cw_Ty5Kns9#Qw(Q zaUZ!iUK~8yQ25Cqyh=5GI8=7+b>`t68W+TRJ;sa2RnNh=A?+I?E>_P?`bx{Ay}T6d zh6lm}9v4S z_;9Qr582OH)opf(hmYEP8^wXP-@~g`PpM6I)A;xi9taP#6%Q~TLmh>3sJLk3hZr~H z`@nc1&)+FtB9HcZf8_79JYQzNpNU78R8QF|y_>kX(2s}wd(lTc#yp=iA5r6&$eWYB ziW47{T}?Xg<)mmgJP;mm@j!asRWGsqZ7|=4$3GJPs&yXoZfJyKe8_%hY5WrNZm45E z4dp3u=4Npb^ADNtJMQBp+{)?sCVX(eOZcz{>-C-myL< zJ@?|>+ltSQi-))Bc!Q+l_#xlteag>A$c|T(Cod8QZQb%2>9*e4!AV!egU$6{j9;=V zt9PGJo;*_Pm(Rrbp~J0+Cc^{Q#sk>zl{`d!nervYV?C88A5y$FQ9N{bgbna{%}7p97fs7L!) zlV$7&`&~2cnxDsqwCkeA<(d^I-l{m!d;Z}vaqhJ0%j*>^lTX+mo6kMQ8$E5x3gX;U#eL(%MeKt}JGLo4!#Y0N zhjq?g_Rt?+%%f2}h&ngpQ}B@fXcDJa7_TEf^tvC>Zg{}c1LVsT@y*5&4_aNfsldMH zh>M69EuQqWDO;Myh3p6GQc{27B;rEaf$>DzUu)-E-zxI#;`^?6 zeR;%(t$!z?#qfZ?2Q2QR#C~6Vo{xz)Hc#93zZva6e#rhC756m*kCo_KBA`aeS^Kc?Q^#9~W58;8<_khKRl)W^L_^x<_`G$Pn zpArXASEfGJFJGn|i1!%(Ef(jVl|41$<1odKSl`U+QEzE|&!iT~!5Z97N zas|AzI5BZY`E#TAH(WgQ-VYXa6vkheS4fFCmG)p?i4>QKJ0rzGj5m6DJlUc6ZUhj3?6mSN!5b`UBrn zK;9V#jmM~O^ZXp0ueR~S;354IKf(iT(F0Z|v3*}JSUl8};-YopBECn8Je=hhAChm& z)j#Sfj8|Wlw0#?}ZiUBf9`*;$JiJ-_?JWLwkbS3=C%+>uV&Co*N7{H}Tl_GD&EbK+ z=N`a54SbFff6)_%_544rxDfl>@ce_yTdVwd$bOIqlZ&gwot3f&u#AT|0CBF5ko=lYnQYm6U~Kd(rx7l)QO^YBIWkNA*p8}TZo&69jbe8jjS z?ccBSyr^}5u>B+I=aM*xJl^<6|5T}eaFccDmxG6`dl#a$@W8e4faS}SScgaXx}Nu2 zlrO(7Uak}`m-+FK{iBXd4p}~o`U?4D^_^k4o#fGb&OH1?_JG5*W3sq7%=*>&k>cT! z;Ni9T^hPh?f!6f^x$~rWhy5GadMA_O;Zf<&+W4Ix4-@yq8N`WK#eYlHujTiBWY5RO zrPlRLu{HKTOB_UAO#VKa^P2pgq5e^aW_-9hc-Z=PB3cX&_>u@R`oqRCd#ZoTljI$m zV|I#%*#E}=&P5O5f$%_Udw}r|>c*6qU&!Yk^%Uw|nv%Xx$9EbB{CG&dZ5C$^i!%e& zFUBtum&8TPAE%ukIrH#Uarb%kgYit-d8h0fB{^2dR|OAS`*RxYg$J&M2gsMT;tlqN zC0|O!n_HXGbAL$s%R0Z#kB5BE#zDk~v}cw$I9YbQDto)j9*pmK`HKEQ-S{g0A%3M@ z_ltvdIzL5mfn?@ZZ;@jG(!UBzYI_2o_CopBoRXv*7l9C0l55t5Gw z54}Dg(QbIa-294}=F?JV3snPC+?6=OLf}AW-m9< zAG_5)<~>rc6o)6s&Zi|YKao5?7(Dd4AJJ}jz|#YKzA>+m&vBEUbBy0nAFurn-w_9n z={m>y@>M*%F^>xwzYbOZLu4oRcc7i9yLkDC_N*3vXQ)5SOJaYB8+m?5lbf z@@<{szn$V8>fHQ0vP{QqJaKx=$L9TsAK`(v>;dqQ&;4TY1@#Q-SBxK$OPGhq2ONUl7o_zUy;c--b=9~OW1i%*X8ZTN=Ii7V~$xRv%iV|K|-@UZpoK(rVhxW*oMQJi}!AD82E-!b3Mffiw%%2oNbgPG(H z=3%oR)Q>5Rd!uFN%f>(Pva4Ud%>Gd)p>wZML z;Q>z%kaw70&G@TY@mTj3aUka7(1zC}P4_Yk`(hgh*~L=n;5Bt{hjycml6WN!IoQMX z$lxBE#`lY|zf$q=yuM%bsJPfuapN7qLx)=tO@;^DJwOg_5m#!(MXTpx-7=qlC0Yv)ga@2GK)yYZ^N`)$ zE`30r9~&3R&qaPbWc%C2z1PIM#$3|AH98N;>utQz!B>3Wh)2o4$?Erl;=|42;VH$1 zShqrZ7DPS8;Z{VG;el)8fu)N77K(qL>G`h__f{y6M%{&6z&a5x!^o2jinC714%>ea z9Af`iCr1fRl2-@CDKDciZpfyQFSFlv>bFc>TyOE9csMrlWv^Qi?S=cIpX6KaS-zldHvIVJY>9zaYOcVOdOgdxkK?-iFC}nvFp8j#P+csh3#X$4f(rY zvQI;*C!eWL_I@b6SJYFy?nks69&q;n>L`5ft0YmkAdemwCs9Ws2T*6eCOq6M9AcuyyZ3v=$z? zHXa}cG0%n)^%VAM^@@wi{}4BlLygynhlmep$Ho@*3(RjJ7bhw%oFG0{>U#c?!;hI3 z7uKi03kwwo9;#1%>!m#U4PCb>c<68!qRH@py9XHmlqn7zt2pqIjgLvcU%a$=hmPy@ z$h#Th+Ya&WHpyEQ7p{=(Dm(GLcV3R---+kNxs@6(td)F4$4lzc-wVvUNpW=W(CdCg zyWs&(52QR)+#4zGb&!sEHtgHR5p6yW@@OxcQa&!eArI#KmRH3;t7{a*#}SGX*Zc91 z@3UEP>FIin7uKaXbxU31ALiH4ZsXypS~vfA`90bV4}=G@EX8BWgDWN5NiLIoL~^p? zNbmVJ*ngFA8S-YvThEDy*ms)8u@1z>5vd>Y<6#;PRDI+`UE<+%$w$S*BZ?0v%g#c? zhw*HM2il?su8I$l7xO)gQ+&8f{Xy5$lI( zPm>=H>5m5Sa8L^#qHen<9LF~tx z?DOLxIf#9|*bl}Dd5_Pj&Rn88^ETzn%XGX?#D{J1SqPiM1LP0tBz)dcPhtLS`+Yqk zE+S53+=KZxJdZlGm*;55gW?aX>{>QA zjVCUbJq3#ogNI(9k7zeM;OPPKaC%-Z;q%{L-0P_0*x!L1L>-0KV;s@brfl4o#}C;r z;#KmoT6~u?s zF%O$M)(_Kwhg`tYgAKRfU0Ce)Q_*D%Y|l@HGp2eDq6e?LCaIO5jGmtF5iG#(ys@&KRXihNv#gR5I$H69Y+3LkupThXe_NShtI_{pjWYXox4($I*{@p1~VjT$WI4CaKIH!Y$5{DHJmgOAe@pAF8pZ5D2rg#-~X9rWF$?!mU zz}W-j4CdRALzr)E{NwYE`G(|9PjS-rbFg^Q!8Z0gLL7cs{5vJibW`5CMB|6c6*ty6 z$A?&tLc1<1PV8)4tWEO|kBfgNbX`rvhYlZ&XfizD?g8=+>r=?V8Hy9JKQ@nd69=(= zkLNLdNPc3!STDoa&mwWq)=v)9^mti`Parp@}*S#!#Wh|XOypE9(KwT{dh<_D)R9| zzH{t%nCw$txUXKe58H_|P4$JJ9Kx%E^zq^$@@p@9 z*e>eZ^wV_pS1Emh^{@PSleoAs#t&WZM>HNDaPmOP?{dyje^>D!#udq@5}m(dor;q= zso9x15840y;tuB7*m{xc-`do0S4YKd_Kk>-NOGX2pk}DPKOI^CiJU zulo`0h6g-7z_{l#)i01Ar@Dc7v_|@E;^9)s+aP7q^Z?_pGK~{X$a%=)FDX96 z{2J=Ejs&&}J)Pme1eJS%;b<;{LPB$ubDPGbAoj8J~OU-NKQij&v} zk#;W*9=d)$qVe#6lLz>`-y+_Di0G zf8HrB4)x<9^Yf|df4%ZyoA+~Gd2v_e%UHKe{|$?L+3TYb?S=G*znPn(K7Wd9qKH}AG_Imum;J(VvH^W!1k=MKf8eZthoZ3s{l^50Tjh3e?PArpbQr)FGc<68|qRH@py9daZ8* zx;@N4WXG>5KE!@DKQAjzJ1;Iy@#A57i^`Wrh>Mx!&-E#9w*4JY zXQqE*e;bESMl=~7@b>`YFU+qdZ)}|KQ{}52o4&}8d4964v$~6ed9(-XQYhDnhttJF z%){aFK01#0ka_bH&OAh1$bRvC^z_3qjT^4kzGGAJdN+BvI`U(pQQ~`1DII(HJ9Isd35F66l8KwYN_PW;2Zu;hay57~cpKHrA=W%1G0?_oX;IfVJy^o;G7=-?*yb6XydQtxc> zv+6q7f04&AKau{y`f3MLqRH?;c;H%iV5ah6%bSntdGFhl^5ZSypSws@ z>LM;*RNj6;oIED|cFE+#_!%Au53~^vkcXIOlkz>qiCCvX4uOM|oAZ2`Jen%q>pg;p z?Du)`@4WOk#idD-R(E+)x`REm<4)NzR(4>&Zu;vDaS-bVsbf7g{c}3vLx)=tO@;^D zJ-~R+<{u(HWQP|N2YsY?v07Zj_o?u?Z}j6Kd4hF%iN`qy6K|v+7mp^3Q``M`NdJ7K z{P+{)%|~sVFxP1>=H)Q2wskb_cP}~!4}=F=(*xv;?N@_(37_lt#Fqx?Pl$h5r$Rn7 z`SFnbqi#YjzAWxxej)qC{@r}^Ne_p@sI6qcv8=I zXmGk?OE{;aUpq#d55&KRJ?v&_F}9v|9y z+JX3ya(D2s#T^YbJkWML(5!e1b!I-_ABjiLNymCUKIdyCm-+FK{jU@MFmA{^9q}ri zIZpPxBOUAX5`UcIL+sa09%J4O?W<6~cgQ}hr=fkA2gLI$gNO7-{0I-UF%Q_dAk7{w z-jpa_TrT}c&P86o+K-3io5h2N#F@R~Oc&X;O&sbWKJWA6Avstj9=;-J>%DCq%|O{_ z>j*Iqv5kEU!rbsccmN(?JoBVDgXi4xQaa~t@n*O3RMeSM{N~R?a`Birhw(x7J4^kp zksXL<$>&#{d1&K?n1{svE~~$0=`+Mhd=DV~)(||TAL2)NppALJ;yrQ@C5ki0DZ z9G3oqIJDA_hqME6A$f>8H#yixTz;kn2d}7yd%2zcKPP)?#JfTIyD>%_d{lC%#uZ-= z9(vu6Xg56I=>hU@gE)iui#+;F9J(a^xcIk2*V%qI4u+9G`xSR#+>l(vd~w?KsM%rs z5hp+Niw|kfOX}|l^@DLs9&eJJtBsSg7xT9rToX-(2f_o+9xxtKVqG$y^Pb|*fTjYw z$9x;gy^$c_`b&cPHmi8=}U#rPrpbgTO9Djp-R zPyUk~JA#K^w<6jN4|sZj@z>LOzVDOlB>uc99X#Z9JH^XQI__W?d3;Lo7wX*P4C*HA z%DA{*`TIcG2~Ihf!X{}?ne4#)9@=B$hxdt-^Tp>%*|9Wu=ygA$-SB|B2N3U(cldr~ zi+`vO*7}t5I*xh@k8kzkA^S&tgz?yW;tS>@Qm++{QD^3L!^A`6_g+3?zhlI^$7RRR zJdUOv=W{NSpYH?@z3xY}8y@iV0H5d8;@eE|?lybgH6QyU9Y>v+JVaf?%O>&!>rRY^ zwD08>ap^hn3F~QieK$XQ*#8FgH(Ih${C!bz>?e|#f5ZK4wg(TrJ|EF;c);BQ&nn(p zAl{8I&S?D5>dWAgcYMh9F&;;W@j>G+xdi*jKh&EkM=Cz-;KxI98S`yuhjH*>@o&txJU)OQF-pjfV#6#r4jLYs&9BAuhFdvY-wsE{m&OEgFhlmf;-;X>Vq+hVE zna8Kgj^^N@*GD7T4G*|`;6?EU^ZP6x<#Uex9N6~>oqt8=5huFZ1RkdT6%Q^_e{&=e zFOolfrDNWUmp$yq^5p~K-e%c{bt&{0)-$vJ`y}@U554Y3v>P7q^Z=jd=ft@u#h+0o z^ZGL5G~~_X!yZ5Wu%D0f@k82YaU$YY_J2tB^;7(K(K$Zc)MA_v^KNLz^Ey7h1s4m! zL(k7_v>hJs@&My7%%kD+jeL|m8Z3F6#t#pOe{YLJuln;)R8xn&ovPr zdfks`H$33!0Y1m5kC1b<;!U|Y^RD7Dj4#p#NIvgar{ZZ-mdPH>qhWv3B-cvr6L(HZ zcJ{M}{&`ZoyI=gfUHS4*^*>EI=53RoN8|fOeLo-3dU(Lm1AE1pMsX11a^$1s&&PBe zc{2Hc@kTFe$dj|;4CaL=zKA!kh)XX??$Ys3{o+Hu&*q$m^h9^@H^(?5DSJSl_evaYOq1F+tarM||jYKce06fTsr-f4w07tx%kZbs^-y zA@RuSE#M;gUP> zgZYT;ub}=X%g%K+US}L~vI_Aa{nSPM92N($PMLP%`}BAo`7`}EEb?WiI}y!>2V6a1 zJS2yvi9h#=hxqc=OPFE5jh_%Zo0cs8u zd`Rvb$@5|An2*hVpA!Fe>HKbS^SCn)KNJVw%elyW`CT2~BiT!KZH;`{>EjyBh6nsT zVEJ&RxHC|4wYZ0QHjLMiQPdP|C*BR=&1&_)m80VfZv5%(SzZw82mXC;^DIOc69Uirm`{d4=oW+SG8@Sn+R_^lC}Oi@bim9}mfsg^kG$?88cZmL&3K>JN&Gl{&uCnTPm3 z6moF4xL4ay*nZE+A9e4jym+r9#t-So9dnbU5h-^7d(!-b1QZKrDoXv3~{cX_y?UAzAa8pQ{G%6yAK2pzvRd`5FTg)9vD@8;K4UO z_Y39~sMpLZY;L&g`nP`CnB-$RzI9%qm`-26&^bPQqA~SzP`rCeu?6lXAs_ z7#Ac5zbWpa&Pz^Wo;I(;x)h%O=YBk7`}N}CN8;Zq@o$mjQw_{u+lv*N`C^=W+ZWJBQ_#R0_S zG5^rvRz#EG0e26OJE)IPqMpKhxWD)~OcM2G@(1aw(rw~j&&D)P_eg!RuZwty^&-sU8~u1lzAX^< zzOMWj{NwRz9sicb5AP8VSI2yt*8Ge{Tj7CgdBDgq1BneBc7j-$A#3N@Z%xd z$9N#+a>a?G6$g&e_}mXPUiVkxA?9a$`HSO(zf+&$!SB|me0a~?6c_&S+@!CsOI(JX zy#9N^L$CW0?S=_Wx-5$AQaU<%=yl$!=4^uuY9zHJ~c2=GHKQ*K{ z@tAn{xp+9(kB7{Q|AXSd->FOdn=Tz(W_@{@j&Bn;Kd&u#-m_>sJP;mm^Z@qJBIo*v zf0jRYmyUf{d45sOM=xv0-znnTQps`ZAK%x+^Fvif8Kn7sSU2otPij~766|};`pUAp zR98AR_lx=0Jibb9(Fmx(v~#6#>uNW0hg@sRzGuzIoP(VP<(*D8NTzRbFEX??QulZX#_ zU*bo2ppAKeoarOJ4cES3w~2?BEFR1AWb(4snTJ!=?<%d+Lp_E4Vjean>b-RHM&qO( z59yx@ajr}p{806j1&RY#)TcPHhxk|<@nIW#48q*-06oC*I`EKj8O8<48|2BxdlYQ84i}QZ|PIVTnbM~@_bT^_0DeUl-=|g{?)!6UObj%CbMksW2J+$>^ij4G3!+Pormgb<~L>C zaAA+)FX6vA^$*Q!>fKaRH*0q9!NUg)`iFxC^s+l{xuBoQJF6&f0Z*S=5y^)>Q;esn(FaGHteSPmor^=gudaAte$*J<}?@pEP z{a?^8LvR0HdDij0^1YqkD{ubld*y{2p??GV&Cq*6?+v{#^k0YGANseU4}m@m`fouW z1^s)_?}lCu{rk`-L!ScuKIqe-&xAe;`VXN$2)!QqJm?Fc{|Ndb=#NAHUFgf8|4ZmA zps#|y2KsvFzXyF2^go3D9Q5tb{}}oU(0>g5PoeLF{$HRUfPM)2Vd!r{e;fKc(Ek$p zDd>L%{jZ^)h5onD&qKcm{b$hIy!5Fd{`=6kK>zp9{|Nd{=>HM=Zs>cU?}h#f^w*#t zg#PEyk3fG5`hSQ1F7*Ea{WSCsq5lo^kD>oh=og@W20c4no^?1~zV|Dq%bUC4-^JI= zse6;0oaEkdNjBe=WY$OW9~83Ut9ewC1vFQDZJeBBL-k&0S$1w#k`0wfp7^Jd_eoYH zx%c~$Wl1&zkK${b-e&2TUmQApm%&Gt6|$jSvZ0^j7k^&Fks7-2STVLKhEM*njRkG*?|JMG Zu6%E2_1;$4d%I>9DGtp(KKloo|2GYhhoJxf literal 0 HcmV?d00001 diff --git a/tests/ref_data/lngeo_regridder.nc b/tests/ref_data/lngeo_regridder.nc new file mode 100644 index 0000000000000000000000000000000000000000..51e77890efd20070ae85415b9949de0904f72c85 GIT binary patch literal 133042 zcmeFabzD_#x4#Q0c8i6g*o^@q>XfO1-G$w)s9<*&wqjum7It7G76yu-2r70fCN?Gq z*0^px&b>Vk`?ue7&OeWzy zEli=Z{11IjkILS-j%zcEbO9CxOtECi`JdDh;5Uh( zgnyYbCI07$l!^aoX67tk%(CS%OUzDYZf4X}k7b=Bn$1}!(Z!bXun^J2FOL1zc$@Ik zJDHnXB}OdF&CO%;CjK`wGxar@RU&cb{P|4wW@ff#IZ~PB7@v?~X{seznnZ`>X4Phy z3NzbdT5a}=H^pCh)0Iq2O=gzDELEbmOM~joo10}#2qo5^*lE|g4Qn=PUbk_hPR(7a zH>hcru5Cig5*Ap>f=1OF)->f;BfmxOK7(x&{;!MefF46!Tx;2O@6*4>fWdtR4zTSy zbcpSMfkS@(Ps6$l>eHpGdk;HX)4z(9%9k}u1hPob&tR4=5vWt69z(iy@9E&$r+=UB zW|#X#!$3OSbR!;y={8!D)A+4E1e6oZdW=QOAvJ$^HTip0m zSrT&+2AwnUtC`t^&+=96fMkE~X!XR*WM)U(#eHZGv&{cZ35lCVtyW(}D{g$c2GY@t2{TPl`aRGF zb(^;^%axFpIO`k<|DV`^|4zxINOuzddzIVyRyKC2Q$JBTaWDL5loKXl=I8pT;J^W9 zsS=5P4f?;S&0a1730d;*T#ZuaOhh#kA1Ce}({}FE$fe1kfgU{u4e686_QY+Sc!@|{ zJFLf`#64NHe5r(Ony|sDI@ndRD_^R2_nsB1ma{A8U}x_#>~DKM)S?wR{%D;0h*D=vP(Z3!y zsGVkFx$Qyv_>_^sd$!)utuhP`H=7Zl7xzoM$!vP0uJy36)Ha6cZcnZIH2i*5k1jIp z{jfQ~di4#}E9|)vrpG*yc;TLsw`RS>`xceFyy#x7BR)@jMK^aw@ljmY4V;bPG_Nb` zQlV3ubxNl!zL(&bg|8nR4dHg6js|ewrw&ha`_qRa)LouFD82{-Uwim^v#uvPI_t`y zlNI0oa2&$79UPzGHm8mwaJQn4Zz*Ihh3La0`q$mizpDnm=I|Y=DgC<+Uyk(B_aX4* zgReDwQSfzuZvuP|;422-XZW(B`;hs@z*ic++806}tPI_zsrepuu(#=E@2Ay=?*n|- z&?yC97x>EH8wJM{e0|}l2X`q|2i(u7BN*LyeEOkV7auj>a6|vP!k3@Er$MJNb={!O zGWa%zL+z{PaOlJbay5B3 z&|QqrIOmGGp#&gd)j2Ot|Bf1--;&`|i|d~{ zAL{z2`lrrEG&JS>-uaL^=4lipBTNY>8royytP^}pXDKXHPcrwO@Hn6==hLeeet5Y+fEFAq(6Rp zBSV*^>-F~*K1Dh&3D%Dl>izw^N2Fe5=HQRJHs8_fPxXkev_3$;7-U=N>c=4cu$RPZ z6qY2?H>tZIeJE$*^3i0zF}h~r8mU!*ugELu`z3Tf#Y$amsq+$ih2ZOr?>RV};5!Ci z=uw$_<7u)FDxf19iEeQjIJ)Ee9gf<>kC1ngct!H6pgRS= zK=_&%_+-v8zkY6#IVW5P;X98`Ci>n2zJvJM!r_H)?qhNeX0tE*uusdtXTkXhMOU4} zp6I5)XZZPk1$V`VYlY}vmVU(!tufoBsq@i*x*DTnMqLNheDT%bsDp1X=d=>sJE_AG z?oQMZg08(`|7C+u&C_^&F2Q`g;j=?$GJIFy+lFs5ILhD~t>#Ev?Y}7E&B!Z(?izfQ zuD4;nf4e?=vQF(|wQu*qr+n4(gd4u_t)+ut()U&Hoq8tg!gGnvB>29;(I4NCpTgln{5gE3%!PYnF5$Zh-);Ezr5D}e z_mjrA4!&jZ)lVb+>t985>f$>Oj(qvW*CVBHyd%DXI*!K)_k?tkw-Vj^_T_(mG~m%4=Tea|5MGc)url==2%zE7!pE_^nweWqh5WZQ&yRuLF&_6q_Luy~|!e^D8=+6F;wEiuit_Re)k#$Q-h)yKF zZQ*#AQutDSkbU-+_;Ttf@=fA1)EzE$ZhO(^r3O zMbIewo$c4_A6HE)y1QMl-sM}DcKs&@>nBQQaPL3qk^Z#a{D5)|0`!=@7OyXO2I&s= zwiz!@i_~+buQFqA$Q`{B@p<(n&pn;QACMP@ZpCBb8};o;j~ zP6@rG<$-e=>t>=e?z`|!MQ1U-E^yq(w+|dwh##ena&VUV|{=|cp%8hmQv?cr08 zi^JD|by4WlWL*?Gq4-(_NdGe9TM>>_@Xe==j&Oe`Zz{SC>BAy)+t3Ha)4;%|zTYi< zRQg_ZwanM@tMt#tPUf2i-zRX?!S_2Hr}qeV)&?@)7ind_og8EzOoHz!e4g-~gs+8( z%SUSpUrAHn4r#^cUs?Fd!e<3v9{5yWoZx!|UtjqAh+9&}8{)ml)6sRsCkMJ&@d+Hd zt$y9*yS0k&EqGwHy}!?8ttfmGsOungHlVKQ)EUowL*QtF?@u`H6aP$J8s=V&JT;ff z@L9u`9zHc+_4B-XtbX3#1z#Y1?(mIC;I2vDNp!d1GZx*h zhW#hkm)}3HsQGrMu6E2JBXwn@&ad!Yg+uK>#i!!$4E=M3Zy9_Z@Xdm+GkpCgl)dvV z;q@{#-^X_c*GXo7N-M>DTfk=zUrG3~!gn3tUGUYz*NXm`5no6Dn$W-0oR4bgHp9mX zT^qxE|8{**b#123Ce)?s%*(lq;GC*+`IvL6&UF^}KEc<3I(oy`1-?x1nHl)H8?Gp3l=i%!K-$>^0f&RUuPnGb^NdIDq$B?IYF{rh?7!9qz7otg1imfk zEM(nK_|)}z8ysri+ranCz?YqPMfi53I|rXB=yt$Ievjm@)qqca4;%99`nQ+9mthXW z>H9ZyUeK3|2EO!g_%Qb}?1S^neae66`dpRQsYV<<(qMJZjoKYv=WxyM8@(%Zm)0)e z^q0GR1N8cCr?vZiBK4{3j<_{DAEZ}pVO=KT+#S7Qjm2-zbP3iw%zjj(fhE9T$nett)l3MYj%paHj4S^x=Z( z_4+GXQ}`;FUeCIv9f!}JbuQ@iXI)ElQouI=jso;$9~`BL>*RS6pGaORbZgUxXVm?L z{MtMLQ2)fN>=iz5_(I{^4&N^L0^ulyuLFD?;kG1C z^|c&z>_ztpeK?J-Gd}A1xFhpbk1x}|s??Phofq`|1$8FJ*8>h)eD}lGmH1co-%;Wv z$XkSNUHae)-(C2G%U^2;pK$H{^?H6&_&za*qV)YGd_VCW21j;$kH9gCxXM%UEaat! zZwNl&=;pzv1@l$+JIH-Fep(d$D@0vO(Fvfgz0_$=|E9x{65oUHO(L$&k(zG?^1f1c zTlk*9R|399CcZ;j9r`D)^PbY=oIKRa!?zB;9q?^}Pt9$b;=otU@d*3!D0P&8+n#;8 z4Bg`R>_Yc|VgFTwPwl^Z^iQ38TXaI$f48W!9OrTt9Bc5s!Z}^|m-&9>`nM6?r<{-T z@U?;OpZa&0zQ-|#x%7QMe4h;aPwlG{hW+=%aD7fepVf7L5I$GXErO5gm+Zse_w}j! z!Md|9Gj%3sT@*TM-*2Q(Pw0y}2ZM>n!50L#I!Efdpw7o-bZrfM>iVa6)&5i0zgh6z zqVKzzgWC7w;86Wj=b$ljug5+(&fK3R@%sGJ^!$5VQ}^>(n4W*nYUkL0FZeolS*|TZ zeNJn+*r$)eLbqBa{M?`6>Z8cIn}YN@v2D9v*l>6173CiMhx{-hBJb7FVShty7cJG!}mBG%C`g@PH=Cgj$q=2;IpUhCiI~_y8YSl0}lxA>NYqYS)`W2w=8^*OkCdDL-=H_UYZkpAK|+K-zfMpp%ad89ysdayAzIL zhW@P}UWq)l|57ktD|8p)^NjgEg-`nCquIeX$1q

    e`0RIryyLXn}7a9EFKrCC}H; zzZ2B`g+5pt_|*0KZ}%rIhwn0TNCDq;bb|473QYyn3r&gE1%O2ZvU9qN3PgYPVS zQ{YqQE`!-NyKQ zq3#U^KJ|0E;&p-V8GS#_9GvL;2>8_8RG&)XtNP^1+_$n1Iy3iv?1R(r^@r~Rdyz{%1jrVw@FCA88MnB*6`a7#i+54^w*4@gC zs<6pDQZJP2LHE(Vcl6I~i{%ap2+;FS?m2o}hGY7soDzRbUf)R)@7hlCZp{lxd$HgJ{-lXWN1$uL6Jok!;ZzDwYkj_+bPio)HRyex3P zqK+ceeVabKLU$B>h~V{hvBe{i_aNFMM;s_mjS)fX^I0@3OKF zwoR1zCT}nEReV$6n{D8`W%_;bm0zz%%{Bc#d9S8kS2LsUE#Nx_Up4ri!MDgTUoZNU z4(|5k>2T+#e{IqINgv9iyBQz-cErPFp^?AtKee0{;IZ;zfR>5=m8Y(7<`B(%S5s#d zeC^@*K>u36QIU8H@{$veBF_!J@9^pH9e_{G(|CWAx(~V>d?(>c%f2`TpYm1b_Y1y7 z;m{3yAL#38@`BKS0eD~?!HTXKA8;4IZbQj_y=k|~$_dzGz=WgQi(MrSTNZ-#ghcE2EJ=EEUbD0f} z6r4*7IBel=0AEeGRiE3#7Ykoy_}0RAo%5TW>)%?=?=bkr!*>uq2m0;}UqgIL!lBMb zSvblNuS=e~F21JE$Ix}g=Qz4K@tGLWsOg*XH#PM<_kCaR;TjG{w94?!X5Dsly0C6D zI?eFS3y11UCHRUHuSs4#;_5ni1l@`Fc%fSYA9a4!>y7HMdOb2f*T0s`A&|b?Fb6fa zoN(kYoR7CTo$VxEZH44LKv(r4K2&rq*Cvhcb5W`57CNQ&%DM{oM5m;of8*zf zZ?!_gkruvGGo{bPY$U#Os^rZ^w;X*~a9?zf>`NM7uOhFYO@S}_c3F4iy69;5c89}arTE6fH-va?@>W_& z|IUn%yiw>XpF__?*XC%__|{ODMxD9o`^Zb8HDY{;meQjaQOVWu5D$Gp2SuE25{XeJWJ}BiS9Cd_63S= z=>7tdT(yke7%0;gL&q*&4TsXn~OM~ni{O< zY`wGGsVR?i^O>_h+Bpa4)Ah$i&b1HHXBWI5)Np2`o~5tFs1IRx^oGPE$m`KZ;#mqw zUN>|Lq!pi+twgt=zxWj8=RNiPq9Z>K7KU>i>sp{Qf^|{otisnG4oiHe!{JBVioCRN zPos{b=(eX1`Ka5TKBQjal&n^-{aSzeIPONd@pe70YB}Jm$GSu46lYyQbgJT;teW(% zAHJ4ww1jUDdE?>!NuCY5E9gTQb)TjWsrSqG+qD!Q-;dkCmp!%g{WUsiHc8(-;LCuo zFC0_w%>>^?XW@34CHvq_Z<+5L`rPL)d?Vpgmz+HCsmGPzs|DXXbV|V29lk*L(!p08 zU$xJg5P#++d^zD>P8}sa%D!%mPiJ(^@EK#`I;0JRPks*;ty#gBkG@xf&y~7fF^8M@ z4uxYPz9r#Md~xKZBkoI{1$=G>z9R6ce#y_xzwb{}e@_?B{!0#DZ}>jKmx}()fNw6o z8Q?fgydZh0iH{|30J<~i!xeOU;?vvIw~<;e`X~2i`)KO?cAzdB>dZ`CotQ%kd>6to z17CH0i6!2Iymy?BapX;aF9^QV@QpF-KM(j+Kh@t$c7x9zzW9xDK03gc2Hzk!hTv;W zpYjpU%=st*Up@BePx$KMqxN+H!+hmFyWjIwfA8Fbx+bGjk-BbDXAyh{aZb14`PSW1X7CN8?tAn>^{bSjf9mfgH^A2lK5zIg!1scEzY30__!fs_1@TYh z`qFuI}ebu|6H#{1XbTR$`XK4Bx; z+*`8`LYe!q|IqbWz0R!mfx0h8J>j>Z5QPTI<=$wS_DjXf*vxM)$5Se?njxt|M z_;Qq!`R;-*zhS;h4SavwhZgkD4Zb3yh3_7Gp7bRneBt5MLYkY>9VgpU#A@H~X|My4l$0x6y5$#Q7GZu07Pb zjJooo^Bmv9oYO3v%ffIxhwmnJyeHm@I{L%+l0Mu;_a5g%_MMMr&3t9w`DyCnhJ5s(*^3vY~(b;5!Ikdipwwyu;|0#V0#_^9}R;+xe)%y8GxfWZe(=Lh%iS z!yVtB^yw$@J>+GE&yKv4=sMw(0lpddWHI&4OUq3EKAX;mxAuwiTaSHFgE=f=Uz|bb zHooflqZ__&;k(1!3vhk@HddbB(y$NI^G9*`@}Qg4>$Cbh0d*akKppCF!|;di=K2Nc zZ^t~`ktyN+hI-Rhb?{pdp!=8p9_TwiQs4Yx;fZrg!}N1qmlquV_Nv}~=|{)sD}wa_ zJ8B&77!#(KCEn(veA=V?8XxocW9c8nU)E03&v^3*kE)oR)7rr4 z$GV;9WScI0-O%ZZZ(TT2;F|)D4aECX$5G-lsN)m5#p%NybSuKA`g8$4^|&v5@nKSz z^;qfOm#McL-Q)0ia^J4{ zdxpH>a^J4J&sns-7ruV**}!)noh|gG0(=GVJr74X@tM>y9q#7T(GlHE_`E{5I6i8g zicdXOe~+<_zPnTB0P32D&IEk-!!ZQkwQ%etzL2~{#K)4?1ioH8@7#u?7X+Q0BkfFlq-l{b#KJAB^gIvD2bj*sFo{#>H7|GcTIK6O^5E^|A% zzAT3C5F7*X^@2m4-{Gnb;!+#n+uOwDqxFPuCwwE|OAX%* zbe7?}489fku7IOB@n!7OXY5OR_NhC%DY#Aqqw8pxuev{0^;6wH{*C>&m^$64s}(x6 zIG6F9)4upNgX1WCXQ;ys?!MH~6~5{8;S;*K;BzqDUwltH%JpxV>HgxYntFfCFYqmg zuQ7Zr(CLBiUO0y1tFFT*h_4}U417Jw8-i{@=GzI~`G)Ke>ip#4H8IQHsZSm zj)nNngySxAcV{2eVD3xU2jk)EO8;EYT>{@fU7xe?d)Q!puQQ0>^ThIdpIYC&7kBmu z)_)Xy<=tiABYoQ8J@p=JUauE8oo2?pO~HEhN83Ux_l?wp)`niazWR<{WO|37Q9%Lv z%pQSz9c_;3AJ<6y3V9E@OZ+E!C((U~PepWx9uc2g*XCOX$6wP5!a09!;NmxC2Q_tn z$rIK^p;L@?UxS73EWR(`$U8&$tl`@PcLwq<6K@Zns=G2irQw@O9~SX`0P63>ckq4z z1?gjX*1d&qKkM2W`Zoa%Uwl*als>(Kdp~?t;mb!I8_@0XL*|qg-52yhotMAeUsv** ztgBjx`5uzKPedm_zKh}O58n|uhQn9yvFw8(%y%+;GvV6;Uv_le0>wx1srLg=kJbAH zWQWfczFzQ+Luad+8yo}h^@VRW-08`CM%Y`+m3Eid{V;~YS@43^$OKLcg{y9>Z(PZovCXA zI?8t*97FKk1;=FKW#9`SK83u!@U?{R9d++9@Tu1W6rXy%AU}Lf;HwN@Q}~MD+ZK-d z_!i{+Mzb%~^)DxU4(wC4ub+RFbGQXvwa*pL-_A!R>QZx1eb0|hWzOX&I2PdR$2nEk zzmE^){N{#xD0MWW?kx17HM(W!gFCN>rsMkDjMqzNGT-*_9b^t`==&|^P>lZdrhg~! zji*nYh^u{&3BE}3)}cETA9elviO)FG`#T=f)O?ef-oJCL<^W$I)}2DfgLP`3lr``j z!1pnHli3sDI8(=o`<6! zbML}FsKeZ+{D-d3iucd2zwe*i)1g^#^LZh9g>>ugSj~;mhiJ=hot^2ZKeSu8YKNDb z{(jK&Xsxj_Oh5q5jb9%9@E!o9H%{wZ2|&+eV*#NaD)}OI~;xiI>YOdGFGS zZl{joGqt(szUU%8e{vZg#p-UIWL*$Cty;*s=dPl21m6*GWX~_Y&+Ucd9r1J2@s4-~ zTgj_V-IM7OK0JGh3_*s-sBYD%*BOo9`Q-kF}MDZX~D!WT_EC3(wANxXM%$(x044Sae! zif*qON#jdST`|G+QHYEeKVn6 z()b+Vy9A%TtE_wPAbfA(dj!XE`ckd5aNH;UggpNW5^u#hx`1v$e2R1KIy6rjUrp*7 zPo0C@WL@`q!uJB-r*O1{Z!2?D`|=%m!wL)E%ZJMJcvJLzEOoFUNVR9&86;o^r3ti(XE)o>x&t6-Js4C zb%Zb8Np#wCE^Xn+TU2}>R1uDc#2-+{T}O%MFCcmI;cEn6d`Z!@bV}NM+rp>jFp0YI zl@gst_^SOko$KyM2jRF2-+l5j!~KTqUpRIDf45=tFC+3v0Pf{JGzZk7D&z^nEOI7+X>J@-v6R z_(sBUJFCpCV1D6nCEk#I@XcD{mYF5*A$(8iL%)jBzm~O<*1zLhogt11TQT?a&Fe%&lcueNSZ z-gmPi^?Ivo#rM5@M}OR3;sqB;-lkO&zeZkqbo=iSpQGsZ7%x7GL;XFZdaQn)-pjg& z)r9X9>$ak^AHI5Uyv8>I4h`<_3x#hL+}X%;fv+Ha$aGrjwxBAv(7tn|E{63^U-_OqF z_az0Gv(ql=`%L&MkCnbRpw0sL+QC-_-?8weg|8v=Z46&KU)cxQ(cK8&4)~@S=KHt% z|JuQK6rKF=xxiNi-zYdhEzCpT_w(0$&t5P2npEUqgKB!%-36Zg3oCzJ=MRKI}_% z9omR)9enDbTOx_`-9=pv=y*`qHtKAF?+16e4)^0+y1+3LZb#~v3U^xSSb^??opPP% z0^idya-G<*SneOU5b1uQMDu@b!V?8vTpr9IYnqNZvQD ze^2mPjqVl0d^N-QReWDqR|~!+tXqzb6?}Q%D~Io7I7$+)Kwf|1>YSHF*SP;? zCmrE?!u^x#`K>$qq7^#x*ca89gA=~R;86R%FC5+I-y-%w8Rp*XKXiSr!s{$nBR>b2 zCH!5xdY_G#(^A!sFMmv1xvWOZWIY1()1SNFPu@LJ4+wPrW_Kw_f4XPX%pD1TUokHC z-a+462kVs``W*Q-B}|{>5jA!HjWGRTzLXm`7rdq~vzK_;Jd)R*_&86=8;Gu-kNC_% zw@;Axj56{0Xd~b}#p{(PdA;o{>w2QIj&&2zNsn(uIKuHA4u?J5p49P*_+;uhj_v^Z zV76E4o=YFp^=2k~>hTfy2C?o4I;&Y{j?QR&Yr-)U-zRW*!Cizpx)Gm29lg+vqz@yh zdmDXFJnHp&^;o^0KYFS3{S7)*k4WFU!M6*(Jn$WaF9?pD@STG1WnP(k{XsI{PUwcg zHxa)5@Fh3hk8xa6ulId7-LG+03#NZd;j@U7{Z|gY2JqF!cQ+iK^rb$0dEwqb9jA%! zrjE4eZpEi6x)tyV247cn)cKeO-yD3az%d=)>u{J8?@nGE@g3xK zLHCAX{{_(pdEZH|U+>Q;23&QCAA)P>H%~Q0Fv!9pRXX?`=5ZnR^@Z;)!o1 zuMK<=hW&R2KDoYlX(Ru*zIbcu`Z5o`*XT5buPuCw4gH&iZv-5k@VT&08xh~lK7EgF z1AIoJn;ajxuhak6`^UMJU^tCm0n6WQC zs3Q*DN$|CYue@RZjWO&$)xTi)rlZpyK2P|(@f`_ALwqCYlPmFqan`t;4nX?z@TBJDTnXi_#8r{o6p_W6&8)-=$babi z90I2k?{ntHJ~+qwoY_y^8b8=KNO$QsH00yjJNn8?QB8st2IzJ4zP?8nMCyHdSx>NC zlJNHyt+#%5ioL3jE;L}o!d1a~@sqYWZ@viArxPF4Tk`sxka)JjlJ~5y==Pr`J~rr1 zxGX+u-tsY>> z^g;2-`vCstQ}6E>HAU*mh)yu;W}{OV-;8aff1U8H0>=vYY^Y;5+~3ICM%_2)gDtwB z4EN!^f#K43e{_bzcNdN|_?CvxmUz)VGT%?fWxi|a^IrJWobsUi z+`y-YrZ0`*=!$Pw`gEE2Lh7)Fdk=N^p!;Hy^dS=6p7@O8 z{!aD&f62MOvjY7Kr|$=;^FDRuMrRDZ5pe9n*A9;3#HW*|;^)X458q(=Z~)zX@HOZA z8TI~k+xdQ{B7E=Qy9M7-_~M-9{Eovn295>z+Q4^>_(1Y16W>bSS#(e1lO4WL!+f7} zol)~G1)no@&8E(U)O8%4?)YAUBLLqza6BZg>QLu*IeB65-Gna2L?X%b5&2n z{_}$`0G5BpT@zxMcSLw6QFuFO}xpYajqTaW&oq^=<9 zyh>f_oVloT*-EZ2*YQ>7^fP?c)G-3?an#|-T>8Ox3cfS&sd=iOJJn z5B0eOB)`ulUsW3C7nejIU>8bPd{@E8+ghXJ=>avrf2w za>$C*5kLIb>w_!IH~+pl;q$wnSDSq);d3$aPdhQ9Qo{X{E&8WFUhsH;UM&1s$$)&v z^bJ!bUhjqEjR}+ZDe~5#+qkCqq(pboO7W4;)jgzD=J$!|Ouy&x(NgpKo(!y8hRy-j zbw#HQzDwbVz;^%~<>6jW9c|%mMBW>8_qzz+VRYNlhx)u;Q5U{Q)9XQAS_H2PJ!0K` zbQZ8K0G*qL{#C~JDtzbRwxbR&;!DVzj&4=@&?L+UDjPUhQS zx%B-rI(Ol#K%dg#yB3a0@P)z`dQs+^dw}eNrSSEEFFm?J20mv4Un=;Hz-JF%E%=_H zGXmccaKysb0KUv{KcbF1#G8{>6J6DZqv-zhkv_cV{$15SNABOf&V18R*K+FIMO~fI zS%Gg3IOgEHm3>x`_yzKA!e>KXVfdcWhezm+rw{g~zWMyRe^TxX8>!jTzXtH_fv*XC z*B$;mzop@*if>lJvMi;Jx_s^hzX4JKjIZU9gI_TWN z_v;k74$tCT=7OUd+{>t=E8Nc1Q5n8f@V!O1Bz&r0>iVo6Tf^59zBTZzf-f~XYTp-x zqb9z|;BX}^XR=j_H{eA!Bf*iN5CEh<-KBD-$#QP_mcN7U( zn{fZ6N3j&MrzhM$898KGk#`CAPu45n>QmzVlTC|U-r6$Z{>h!5Ez>VexPLOPoW#cs zmAp;;CElixKNNr;!|=+UMO{U$|e2Vlv#9p_#}<*aW+}E4!(99WnG^Fq7wmMT{Yig;=6N* zaO|Y7C5Fj-wT==GwwAmn@I7NrZF7jO&+4S{mCr7G^Wf{}C+iC56P+mf@)(ZhnZpKt6xtF=kv^P{e7)LH$CtSj3<_}<~G!Lh8c@b&f(zVgIl z$a9z|@zAo8Hv_&(@Oc#%-CNs}#+RIZ5e45N&Tq4#qH`Kw)u$O%#COC3;iv)ML-MW< zl6bMAl6M2$IQsCK^HFPC()e;y*8=K%zggCuLgy*I4d5tbBfht~2}f1px5;xJE%B3_ zb2XR8@XabObzeP{G`_m<&4n-fDp_|Vr|3M!x4z=z{NCy*9O3NC6YNu$p%On@T_30+Yt4>I!ELo6pEPH(hjca4t8(Q4HVfgN36q+;6DEg7fi%`R;`;HGSy$ z$Q=Ie6ea@z_)C!tZSQ6_>SV+4313j#nPw7#4nJypXZhOJkO|o9fVJCP0@W5 znl!%NoR2{GGVhdi8s|gpdwV#}^St0VMf%r}_#OC0aowKAK2Xm~(Ip=%=2@y7%ZL zgU=1V@9@2ZBOJcr@TDd093=g#3*Te-mZDq1z*oh<_sr10TJ*02e3#LQ9w>Er!1tKG zjD}-8zW#75CH{aqhQa-cI?|4meeI1;S9H(fGuU*0lb@#Z^T0#X{Y|HSeV)T1_Mh6v zci0!#nZrGN&%qIa?-V!=6aPV8AL7r*dqUlt;p?F00-xG%>gQ$kSpB^94Zg+bWTx+D z;ZyrB4vsVUj)S8#`?4T??nnFtdBf4Yg3l#%m5<{2+jV9+by+iqAnNKuonPq78~8%; z9R)`w_)@|*!ob%WzCG|o!{N8}C z4n9Mv`?z7gX6pA1G_)G$;~8~zMaPl4E>LGK&SehOKh8&QIMn{zPaSLF4yKMw)V&M7 zcJN(?PktXfQcDY;{Jz*nQ}>^)fo}+WFF7A~;4`N$6`A8Ue5b+j5pHYpx)F~iuN}Il z@rgvYpkcnYhW6=e*y>JK_B&UG_EVu%T_RKJv)t zOe3d<>5s2gT9H0FOfPdw|JJ9#HQkc<0rIZjl=$Lnk{7Z-bh~92pQh+ms4hP0`lDX& zQ;%=*dgV0MT|%cG>ojz3<9qh7@IA%%2plWmb0n`a+=0}Qfx3O@!y)ykcteVud6`dmZZh>PXzBS>v1NR~FqToJC9cR$>pbrhutz+n)#_N5GPrcq- z!%F(zkUCR13t#?RGGEn~nec_dR|&q6@HO8r`=ASap4Vl*`{BC_Ump0P4Saul|H;Yl zHHNPyeDUbqqA&O02&FH9aMXj_hP?W4o0HcX-5L1Aq3eW?>Q{C{|2{I`ZPayuI@eQI z1$0W|I~b0;^sgEm{fXBjuQ>4!9M|x* zgTsfoI_G7HpC)fLx(D!4=kC5?zC{fEQ|}+!nYs#5=LqU5!v1rD&jXHU_&UKcjd%s} z)V{n--X8c)z-LF@r{I(KVe7N^Q&x7w1y44MQf7^fMa>(^%8+%vW8Xe~`Bi-K+E= zKYS6)w&2%pCU6_XqG*#n&6Yv-mo|(So`6W*;KKRIK0V_dwr0uhg%1)OnCpv^!XQ7&yn!{ldWzBZ_1wV{*xKr_Zc90Pr^jEsH6C#M>ll= z@i}4Q^V8J#HRDWtKH3;Kv#>4zom#AOL?>-N;p+*<34Hs&@rn2s8_BadDBSVXQJA{7 z(}%9;I?@NZAODsXL?17j?r*xHsn47DV_jNw+*mgpo%{IO8v2(Lj=AvNq<`b!o<$u; zse1!`h`%9o=|>-4^Zt|S??JNi{*x2wU%&Fw_jT}v<&(Z&hR+$_A8>r8FIV8OAs$7a zL-$Mn3JjF_?t#w(zMSaxhR>G!b`R0NyWF=s6uxx!!nYW{thU1Ei%uMT9&qfXFN5KW zC7zGGuf$W5=Y{TT`mi6}-1xY0|D@t;9xm^XsrFw@>I$b$2kNpy#}?n@%=e|?e5iOa z@*czYioEIYnbC*c=oW(SjHz#XfBn765L4g$HBb6i8ou4|HG|I%olN+?qfg1{ODgtX zX1Gg}cMZOq@NGfY37<0PcEU$pSJeIP>an^X{w{rAPo3}BfBxvC!S@Ax8R5$cUo!ae zlJ^?E*YNFwuOxh`?nVYab-%mfn??UD=(|6BpWyR>&m7+`@O{HKGkhb6SK@rw!RJpM zJJ5}x53A69f{)@+e@~+x_lK_$bzP^<64aGO@!86CEgc*h=W++)%iK-qXL5^v~Qd-#7Fxmc0Fj z{Z|y-#`GaC*O!CvJ>dGH{+_QMeCl~98|y64sX$*+!SNK|C^(+N-G;ni;#rt)6nx(J zeB}CE)3E=H&%<4quLJvU4RcV}zq#-^;rj@VocKP2!GxeZTq5CMan09ez#4w}sE zm>qLpzCKv@%5%NK(0-Bn(r*vlcP0FN#`_JsaxFL%pwIczvEB7-$Mi2>C7!}Y@){El z*eH4LtVDOxV)3y@*Sf9voZ$Yo6mWjy{o%<^^PNTCUr=Xx>Z*c{C%$vw z$cyiDI7SnnN8VoIg~=NQ-&pw8qWc~`HDC399_q3B{A3^aqTrhipC>xA@tqBaCB94H zSVnvzd25M(=A1{PyBnW|=#DY$Kl$9T7+vwn=aPl!9jU7~bviQNx9H5oS8>GRI|B~Y zS5?Of;;N2&@P)#c2i?vFzKWb*#aD>=_J?mYe6Q*Ic66q}HN+9sQ{eyW{L1_EcxmeM;}64k1HO^))j($*{ToRC)OB|;92+ky~kA4Yzp7{CQ{XQ4|kofuCr)|1E9F_3--SbWz@t&OU`Q54gI#v0e@cG?y zGtM8M`1#!z($@-^c(|dSJ97DoDfQiSjd&D!wF4zS_)SeyUN&^Ed=;PATcTUtNqqj~ zGCqpcV_9c~PK&a#?nR{NoX58e9K+KJU(L(Hv4r?tU#Y|UfyAS2C9l8YqYuaSi*EAF zN#k3@x`F6qDkkf`Ulg5Z`1-<8C8hXw3m1;|#NDaGDhj@gl9vMA>ffY){vo2`NRy=T zm8S3J=;U*hbt7(wP6~Xz;V6+xd|$BtRufN7-ppX(dl4t|Rr{|ZJ|n_Jw?K)c@inKe zz3?@wEbIE+7aa=&-`q69cZl=56h2Gx4zn+3TS(ql_Fq}}T$t}W=cMs4A;LA zoXb0$Q(yYBGer0n!Ke1$l#3GooLu;JquU3*6!`#oN7Cv=-@x;eHLUfzhC5>+o>mI;Yvc9aV@J4iu=c6On=cb$w z#hsP;<~}X`yYNNMM<)8G&f(~jqMI#m()ec3_x$F|D{`y-h1Jg2i9JZdY#zEj>Qu0k7!5y7J2?}B%aD! z@~qKKeNcP?--+(0qvDg7_fv1Hz8~ZL*45AZ`B)b^L-<+*$-4dMoWeI79Qp9w3dcO+ z`N?yIdp>ovf$su+NJrhL>4W-?CKNvPI6ZyLd_d~b(8)<%U*T(r?*%xf<7*GcaN@bb zrO%V#wx*6q>VAXINpy?R2gS3^z^6XH_VzyE^MddG5$RtY>U4(hJRB3?bB1qgVVQe> z_%gz`6+R1e>oTWp@HxZhYWn>1joNbRXfP`ZvYUzkKk0q3`FJLuKkZPMw+X-37-meA~iNwy5;4 z7kN&^yO6g8zBKH=s_=a>@GUa%soyJ>q3@62s{`L2_$uLh)-c~{a9G3FlRO9F?(khf zHw!+8&~-8FKlSsT>Zkg7P|bHSb-pspw=}*-;2V!`Z8%;LuTNf8;zP-M0bd39cEMNM zz<1ElKlQml@7Wjg;ClgI4dze;Utc(8;9CohV#J@3w}^dNjD5NRUDXG*uW#ccpDXUK z^@UG9S3E?^%l=D8UAI-8)OCb9yK+8)IHxP|%>&0*_!_~d&b0@14216#eP~48PvKi{ z;u@*>!I#6t<)dYXuO)nH4xQlJ44)Ienb>D-@oho>)VWdnR3ko%ypz+fiILkt-&`V94CpZeX5@K#*p_DKI8Sz$oIGXH->ZH623V+@7OYj z0`OghL!C=E_?|QOCF}z;=DwDFp!Q8$=Cp~qc+iJ`x<0q%b(S+TQ&|nSKl1By=vE#6 zHq^Ceu+~4P@4Dzd0s6pOec#^b9jULVdUr?b3qg9uupy(ahuqOyU-AmC+BsN19@op~ z_Pj8C*O8yahF%HNR~}7ypkm%@dS>GB!s?k zdOdY1>+H~}tIN9O=v>3MFdTF6)!=wSyfS%viI1X=dFZC64`rzPn|ufz(kS-CFcvA9V-OzkhoF z#9P^=@AuIuR7L7q1D^-Jfp8p$ZzddppJnbImt`NE3zWIL9+ml)Lw6y3E8ufxP8aB3 zSN35A`X`@@_)xE&L-@|4a{#^(@MXp~2Yd(UOD6b+6CXewvxz4s?*zJT_zXt(4nAtX zDL(Z$ocTIXmzu*i`hJu;tKfSG4uAT$2aZ+5>yx*U_(k%L!`BJE0r15b_}bGy#i!mc zY$kka4vzGF4SbF9-44f5eEr}!O}ssM%ZcwGuPS_F@lm>2@o8Y<^3l}&&o@kc^V8J( zc|I~G`3j0sJ9$g#0 zSadw$>k3~J_}0P^im&2`=X{v4PxHWchW!_gt|LC9(e=e=0R23m<}vr4?1Rh9-TgmweOC7+sy?gxUex2{xm%}ix;aSiR_N=Th>dsj9+iu` z+@BqwyH0z2`(DD|X_k37@5PJNVR{D7q{2h>sb%qpOII@%hB~e6y8xG3YF2T}pJ)Jrce}aE!pW1sp};e)2%_ ztnGw*4|NQu?qF--Yk+PA`k?xx-k(rCuEl=1#k$()jA30jbh6TyTyUJm_cMIHa3`aV z=EQqY$35zvPam?QyNo_49`*f0<8#tWcdj{X$ zQqsTo@P)wl3O+TLYw*eSI#5&J56bm?uht5_&hQ1o*9ksv_-yeV1IJQ)8^iaOxFdDE zCjON={Lr0@&oXppfZxA$LD`}P%e&Ze$3=&19NiT+*2_bwb+h?j%!Ht}%scEYy^ zzFFu_fzSB)(|t^R^U-?Izi|3~2fp3#S)gN$?`Qh-7GF!wK?e9V@*?4jB=0G@kMQ|4 zRjv!$@sZC>_SRJYnwz-1H1+N#!-5)vSI-8Ny9~X5=_&W>F_|5Sj2Sn=e>rPI6yWx&L*t-9_ zIa>qti=7^QzG8Mv_ay#Keo{@y+#oG1Bve1AC0vd#^i zg{)hI&KrD(!jTr=9&qIJ74DYgeIVY2I@Y86AieN?MYj!o$a_2D;j++2+V{ve``Y-# z=w7n|JXT%|);7VX`nL?78LT^qPHTMA!7&KmpKuI-`yF|GiD##dCg^6T4?*Z|rVnba zs(kc{tJf-iMddYk{;hPe^q42$j~bKQRcoHJ|}cT;A;tA zx*_5-l-DcN?~6IDDhf8I11_IMjSE!1sxGZ}Pqnp9f!4bi3o@fv(zrX-wzVUrWXL zy>8<2(yqdniMk%3)6ua12H^V>j#2pDfa4qSf#lsJKGwij3%>dAZ84mWzg-8_`FIRp zQ~184yHQt7bfT!s8@>_vKH!}C z<4|K?K18+22^_YU1+@X5K2)-0K?ybgItQ`cu-179?JZifE7q<<^$ zRr@RleD&bV2A?~5Rp48RkJ{JfTwml|_-pF?%5}v{Q?I8@W1ZT^YF{*gZyvsv;oF06 z7<0@3UwiUi6Yoo2clZk9GZfu+hW(e7{;BgD!1*Xn-_<@*`@)=kG6Y|BPSyUq3dbwv zK7)O*jk!-{AE$Bqh^Xu>XCw)H-{$ABPL_a;^`Qx7pV)XnKqRQ`d zFRdSp^UPMQUqijnDzgfg=SJ&Kqa*DumUx)(I!Dv#b2HV_L-M7_Qe<`$eI4-|6Q4i1jE`dV)2y3_&YI$~ZrKabxsUHWIMQDh-;vpc!~BMD zTacF_o5UYql)UTc_N5O?UWx8ze2heYK91GZx-01Hs3d%ge~3*kdE7fJ)td!EfqWCI~^FiXfBDHXQfUg93@o6P) zaZ>UI!l%y1wD-dIq}>0EuPl7Q^l#oZ(J6zkny(-G-Y%1Q=U&&~x zyG7Qd_3s0GY7QBy%DTXxqVtjKOB${(*F(hD3Xb>i<)VL=xNdi$e_g2i8$Jh$$i6Ai zBWZl9f9m<;5c6Hg`B2x5NH|K~5WW{S(x>~x9pL*!JR5mK;Y-f>XmL;K-jz3Le4Xff z7UnR%nykBLDRo-n`vZ>s5yH12r|_w{&u1SjO(*e)V9ER6UY{rMeU5tGvo(Al)Nn<< zvWvQ`*DY6BKV6(~pF^%-r#udmg7xHf#WjbCkMwy{0=&JN2k7^k#mo&K6Qn;c)GEj4 zDUo{R9_DM`ow=hAByK%b@&dX`ykB9-3tB0$Ou($xDqR%6{Gbjq?W zB|5|Lje+9^zK!6hO*|F-+Yk3p>Nt$$3C(y zEA#z!Qr2~ZuLFFi;J6Q8EBGEamAQ|GuQq)5;X4T51o-yD*T}&4x6jvo3tu((uEW<3 zzGnE=f^P-BmONu3#}D}*{H;JXWs z@AxW?PsA6Jr@{AtyzKDB(T6tFo#K?tX$GJFtNxzv4xj&9g!9n|zHRV1z;_D1p@#Xs z!nYP!kQJm8s_!fra419y=Ume4IYr=P!IrX9L&G1cP|G6>W zd+a|o-x~1Ehp!HNXW&!Um-ldl(7$eQcoSE7^@)EWZ#KG}@i~TWSA72I{bNhA?hrcZ zSr>}VV)}9gj*s}3gJU0YZ}LhKx1i6L(T&DuExIG{QP-F5hVxOB^IMetXTcntIrj~j zLnnMsz@e@iZg8At?pxUhxtV+FBC`Mfx7X*t-B+UO8usOV%@YFy^xmicuh!lK>g#!5 z-6&oYF}{I2`- zdY^NzXMOfs`|tUmwXXHKuJ7xqp5lA&@7mkh`|vAQ^Pf``yJ>X6?(0@otMcjA<9=AP zyIR4H1^1TfxVBpF)4wcUVd~aud&>{ZKV{R_Y8%RLxP3y&9o5!U+W-38___x1`o81$ ze_iSLdF%ha|JV89ll?#Mh-UkLo%DVDr+7QTg96#=|_<633A9qFk zJn7e+8sEor@#}sP-^cFwz8{F+N3(c+d;C5M#m_r5{v6(m-}kN@e}4bzuk(q&?*DUt zBz~U8P51w~uZiz(PyD&`Nq-1vFA$M0)S{66!=uX|&BABE!A-4x$Pi+H_oeBIi3 zJ$+sJ{>H}l_jY`Ldvbh#>9244{?dP*-!{I#1@Zm$jPGx1e1B!)*Xb$Q zApX95F~07Sc)eu&eL69I-rDi&JR3jnJ@MHU%ZoGyyjkBq;*E93jC9KVnB{Vk4PXG8qFMdHt4|6kYP zRhz^=FS7ry>x8Q5pMSnT{@jPe_xDHqxlfM24(VS%8pijLFMi$huOH{cU-!oG_rccK z=Xd{q+UGp{4S66`f%70|>y|fe=Z7D}Q+@%+^MzlS(Yoaa-7X40IJ_!P`5_>`IJ`jk zB^j+-LC{VAWi;|a;nl+rsA7EyCS?~_?0~6r9ggFc!*Px;9pZx((^c=L?bts>~wBK*|wmOSOBfxK0CrSR4nt=s9KTbuAR!rStc zp9%7I;b(=n&uHB$gKjs6pB>(Tr~Dj{cMLx_yi-P}UATo?XUN&w3~hmKUBa~s@~$A) zdtcryqjl3R=yq$kwm{w;!4u3eD#3)g#J-an&t(=Or4a0|p>%A|(C!=+19JhPJwFUCwkaj^n0<;l& z@5@JKv~Jo3-A09L3*@6g-XwfXcvGJ8u^FwKc0srM!fy&6$5XCdkdF^<9zG$Xb<-~B zHZiGJDZyP?Dr(C-rpAz0a{Gp82O}n7m!{Hsmr}C6* z7v$5zJB2@z(N%cuJV^VHp3`}42Bck(&xEuK@>$Ro^xl_03KzhIkY3kKTcF$QaBYEn z4#>3y^2fsU-j~mXi{TQ`*XVVjUC?b_xVAt(ALPBm9}n-tQ~m_hfSRDM(d$B6pxc7* zzTpdb%KL%*$#A{*<%^&;)B$~sUKiQ|-JS{`5WbkFd?3h|gzLR8e;O`_dZ4e->*6lZ zZE5(R@MS#ZgF*gG_>k~tdFI>;-G+j0&xPL|zMQ9g7|2(IYZv6tLqli;`Wn41?giam z2p=B4lBZl-Ab&A@WcVtc*TQw6uhHv5Td)dV3fC^kSA%>^_?qysJmqVl2{Z+Ljb0bp z1>M$#j|*SVQ$8N#8^R}qzs$24G`H7v(=Oe!TcQBgl9mTARik3 zZ}wprKUSNN_9D0YFoK_JBxpNUg^vpVH~TP#A3GM(UdZo*f4dLk`LPo~+o4U6=Vl+Y z9omG=@Je`Y_Ced>dy(6H(02GK#q*C5w>U;a(F zc0j%-qjl3R==N>+^6>9?%2$B=`|#((f5>RvUI5+phOZ3&k*8emefdw}tHOWIXx&}{ z-S&mA4*!Lxd=1Ed4PP7nTSn`)4s`oHe0}&IJmnie{%82h;eTbcZW}?jzr#0$|HD(h z8RYsm^W@qAd7g~cZHvy_4g~pDkmm*Ys~|rJN?SgJc zK-vZQk&t#lUK~E)_x>TsOJuZe+5+85LfQp+DM-5@FAZrIaNV^~}3uzbR85qj^-PtWMI z3%Z>F+6Zld{7gu@AU_MV5qj^-D`#}t1>MdDZG^T!eh#Evke>@_7vxnkI_-jP=Rw*9 z`T3A`L4EhlkhP-gtrKv$nzAaXs_$0Ezs@$aBYEn63APJKM>xAr~E;v1gC?(Mz0HPfo_w- z+l5czDQ^$*hr(|Tf0*Z4P}yGBO$+(Rbej?0 zC444Nc~_9n3hx&FD9;PvLVH~|ZGmpH!@Gyi;VHijoUPlXaqAmio2R@V$m@jn55J73TpOU9x4drL283VEQ$7&n z^}_EAzk;Xyu8h_#H~UbZAKw6mz|ipA>_a1d4sF6cpiRi_KBQe3$; z+Jv+h^4#o0bAEga&~|7OPk@ zAb&2Sb-O!m%fpB9l&=7}-uv?B!?gqQ7cyG6;c;6TK7yzGMUd;gFJBd|9gx42(YlR} z+v@N!JmqUZJ~n)9_oQumadBH8KAxw11IYE>m%ki7F??f2>!w}MZBzK9@Xb8s zdhg3$34btrOGfK98FbqkJ|+BBo^rkS<*$W59R7Mn>oyg1+ZH}8d^=CM-uv=5!l#G7 znbErGbAxVgh0hG%!Baj9S~qQhZr_D#3*_H}Tw5UjAzZs4-<#38 zX$y4wFIM2ZLN&AU_1;+68$5kn6oKFPPD~X%}=W1o9mqKNRHJ1$kkR?*w^~ zjMh!Npxa>}e;4G3gIv2HFA8$)g1lHpr(HOL+mVp7-{;3_3v??EX&2-rAnk&@WJaf5 z(5)1tU67ZCvQX&25%7v!gAv^GOq zpxbGXc0pbVv=Q0@`RR~$L4HO?YcsS3x}6DW7vyI_+68%K&_?LJFF!k@(=O zp9^Uh3-T)Aa4w5 z7v$GK&b>&xpxd=j7PJNO>%z4K^6Npa_rClF$hjA~X$y2~60R+fHwC%2Kz?Jm-uv>K zAm?7BUC^x=q+O6VhqMdw7Lay9-V$=|McM`3T0z^1LWL`vYo8T{mrkZhgaRhxg+tuLJV_;g^Nq!Luk7v)7NnkA$=bIa{~la5>ZqFA=Uy zke39xHXvu~Rw`~+g_q_juMhGv;o1cGQ6Sd_ zTiLj26XfMUeqDI^@auWXj|ce;8LeAx_MrklUYl?uXcOex1i3areoFX%vkw*d+EXFz zgH*Lbd-G|Ej*s~$+h5Q`&xBF0qAA26$0@?)m z`Qcr{wF&aBAiprYTlhsh<=OzAm={h?A-1{O@0k+LLbm3 z$aAv~+791~vY4zX#;n0{Ok++6DRWjMhzCpxcOW?SgzH$h8IXQQ_JJ`RI(+tx4R* zgg50W9}9B5_vQD6>%A`@m(gh#bQ=%ai00uF!u8&lPXxK%`||rUI_-jPlRz7xEs#GD z-X{D(o^rkS<&!g7w{~%x65gJt{2`F*y)S<_yhHfZjMl9q=r%39Q}`o1<$CYSr-yeA zpOMkJX$y3l8QwK~7EighK>ld>t>LpXS~qQhZgax51@gy0u3eDN4euE~FQawq1-i`- z?;ZX)Pr2Uv@+ZP?4_}bcy7dL!7KZl=f0C!XKgbt_-x2;)MyFj^%xwwe?6eEIJq>q) zwm`l#Tdtbghqjeh=w-w>q0{QbG*A~cM2-kaG zzA~eA(-!FVVz{VvN%hzXg+6CP< zfHp!~Ab&Z0V)#a$a=rKEn=)FrNpag8u3eD70`dpLw}fjK{c0pbq(k{r4hqMdw z6F}Rs9MbD)7j!!j(k{p=K-vZQNsx9yelln~Rzi9`?SgKnK-vX)MM%3KKNZq0$WH@p zhwnw&1>Gt^+6DRPppDQL$j<<|-uv=1LEGVbk#<41vmot)yfSDbv<33BL9Shpp99(s z-wWNe1-hLJX&2;GAnk(uJV?7BKOb`LMcM`3E`YQP@(UsDg8U*#yCAO$Irk#%f^HW> z+6DO~kaj^{4bm>it3%GcNV}k04M@8nuL)@v|WDxBHND zFLJvNIrk#B`;c=la=Q;X_ae9ZkaI6`yAL_{B7IJ1$aXY>oSi;5=++q0=LY#Tkaj?R zZAO>nHGNjl?Yi*t;n(w&>%A|(AzYsg4?6t2$(@@5&W zn?5V();zpocnhBLQ$gM`T%Qf(tuk6SeOAz|b@=JwZFtJh0D0SReKwG{%jopELAUmh zJ~zm3hRSeuc!zL(HjsDBXx;Q#LAOrf`m7+o1?1<2cMjKQ19_K>)=i%kbn62rg;Csc##;k`0iH+@#nt#^3M@IE}{wLpG* z_@&`}Gg>!&R?w|qc%AV6Jmr^x{EqOt;R7;SH+@#nZD4r4@H=_R^;toFSNN6TgECq- zeOAzIaCrUjAw1;`Kt42FpBvIMW5cxt^7}xpEs&23*Lz<+KBINhF6cHPTw5TY2=bQU z_lN7fFQ1grx@i}5dmvm}Ab$|#ZNn#r>%A|ZlF?}wbbAQWF32ASZA6Fgso{F>%co_u zZk^)xNVs-EJ{{zp!)Ju+y)U1c(Ykew+pKVHf&5XBYZv6R!@Gyi$!OiQ1-d;Jt}T$y z1-W)XJ}+GFefj*1)=j&h+vDNd0{Igl*DlBxg!c_!n9;gv7j%0vynpy2o^tJi{HgE( z;fpg`H|>IMOTzCAf10OUyC7d0J}7)yM(d_s(CwMq&Rlxqv*&xLCj!ofo{9PwFUC`K&~y2?+%|I{(eU5rY+FzgYYN9KjbOb zF33L$Ul{&zM(d_s(Cw4(Md6?Flxr8{pM@_D|2(60(=O=tMflU%A}k6-L7t(AVg7p)Jtuw{UHN{CAMA5C0>415f#% zFb>9pzDBPLZGmoog>MZ1o2Pse$o~n~dtZLQLI3wTLSLiTg|736tA zuJ^wDAefA66VmHx7j(-9X&2=A;dQ=t8^{j^x!(KoLtrXC4btnny#cxv0J(NSUJ&GO zfxHmNwF~k?VFs>ENU!VmHt1Fuj(%kA|o4#gJatO}n7mF(CgEiE07-ta=rKEWnn444ASemX%}=W z2l722FAwr>L4G{QwF~kS;5mFbq}NyA&qLaSoUPjn@ZavkO1}0*NP8jA%|5K=$7>VP zUgUNk*7I{|6aIid!*jC_oA^1j3IBjLA-DUmm7mA=BDedHb|LLWZucSWLfVVm?nByz zv=_PEhqMc6FLJvNX&2I7H`9 zz5M;F_rCmONIM`uC8N{l2Hh$``rIHt754FS>Af#M4bl$CD`j;0+@Ra(@Ebq&caWa} za=rKEXF}Qm`B@pQjra?6s|@nLL4G#K_1>4C18E23=Vo;J+@M<(NS_v{4z+N8{~B%?STC9j82~$bgKvHbA$W} zNS__qF8{}6*+5vgPj82~$bZZ3ZbA!Awq|XiVYas1_ z{Mw8z%WL|qpxbrf`m7+o9^`uO%WnwR=LUI`j841Il-rGvv(qlC&3-wJ6Ly6g1mP|r(Mvk57Y#0f&BJxZGpTm$ZLo9%V^!S1-kVQ*A~d{0J*k6 zJ|JB0efhwQ)=gWW+nwRs0{LAa*A~bJh3ma9ADq#;X$y2460R+f4+XilKz?_)-uv=l z8LgYPK(~9swFUBfL9Q*34-eOSUp^wEb<-B;HZojWARh&CZGn7rxOPE4CZp3XjOBJ8 zM33fFsI{y;|SrY+Fz!SJ@>lX=S9 zfqY81-uv>0GFrErDOh3ma9eDI%a>%dZrTFfo(|U*$d`g#TOeN+ zJ~;fDjMhzCpxd+IL&KlrDc2Urmxm7vUy;$eX$y3FKK$PB7kJ9G1@e{QBf?+IXx+30 zx~&Qy75)-Wxwb&QI$XOTUz5>IdF@6>`;eY%d2Jn}U68MbvYm%j|npgE-1 zb(;vfZ4B2I$TxvpTOi*YuJ^wD6=(&mL0_ZSg?2%=E#cY%`Bsom34b;GA)fNrpdGXa zeT`lh+5+8P51$&oji-DX$hU`U7vyh1N9Y9l8oe&2gKlqz&j^2ur+g;JcZBP`FMk`l zfHpy2qt}JDK)0RYv%}xvDW3!Kcf+*{@?Fp!ZUcRdUKevgxA(&5h41DmpAYi)!?g?Y z51<$H27QfQ7f*n0ABHao|A?ntyCDBK{K@c7c=m;U_PTD`0^L3h*A~b>1Nq|c&%>AS zlz#yOU?Avg^t#X%==Np!((tc%%9nxs>+om7zu`Fu2HWepX%}?c6aHNIw>;&`LH=F% zitz7w-VMX-b=|ZJy8RITLik>u@|7U}G5p2wpLh<35%#)n+6CQy4u2_pA5ZyekpB|C zCj3{PqhXA_J{G?Z(jMe&-NwN>SRXzAf_zcQOdjo1mg z6#@A>AU_P`dhg2*2f21YUNob1dk=Ig2J+n?KLX_MgZxO4>$8Epct)qs4Z4*8eTMi5 zHM}b`LefiOlc0hhiMyFlS?O6DdANv)^j{~{h z`|`4oc0gV(qqPxxK)3QB{}$xOgIw=@`3aDAKz?FIYa{fzLAMGZ-wX1SK>j1hPX_r< zAU`Feb^94~s|fOaAU_r4zkvKSkpBwuN*UdtR^2NODaL#AfV_GBiT_*GU(MgYqx6=| z%m0S;nfl+HZdAKY?MAih*Q(v(%F7#H^FRO1J%{sEZCmwh)uUZc{uUq((F+~BwCmcV zW4Epc9HKkFIR97nfCKa7$-{pT@IU{To@eX-Tgd)z`2H{c-&dCA|6lzd`FqxjXEx+_ z;WVP1#tw4j}qw9|@qTGLJ&+G$HW z?P#Yx?c7W|9cZT`?R27@TWF^ZZb_UbV5ZW0^J9pF0Fxt6?cJ8H};j}Y?c1F_9 zDB2lKJ7Z{PEbZJ!JL70)JniITGo1Xib1>~3LOTU$ry%VVqMbu&r!eglp`F8M=WyC7 zN;}19=Lp(4l6H#IP6^s6Njs%zr!?)9p`D{>=V;nFhIWpno#SYyEbWw|o$|DEJnfu7 zJ15dk1==}@c21_9Q)s6m?VL(Gr_oL&+Buze&Y+z$Y3D53sZ2X()6O}xb1v;vp`G(+ z=X~0^fOamVor`FvD(zfMJD1Q-HQK38J2hyhChgRsol9w_Htp1*o#$w0Iqj^Vo#$!i z1=?9jJ1^4CD%yF8c2?8Q8roS)JL_m?J?(6uotJ56BkgRWoz1lK3hiv6ovpOR zJFnBuHrm-vJ8#g=o3!&5?d+hPw`pf5?Yu)f@6ygL+If$5cGJ%LwDSS&d`LSV(ay)T z^9k*IN;{v?&gZoA1?_xEJ73Yx*R=Bu?d+kQZ)xW{+WDS#exRMbwDTkF{6srH)6PEH z`Gt0VrJdhs=XcuaaxkAyjjp)UjdpIOo$j=A8}0O;~ zXDsd9M?2$aXFTmppq+`db3g4&qMZk5=Rw+;OgmF(=ONm8n0BVp&NSM2gm$LW&J5a_ zNjtM>=TX|3O*?aF=P}xuOFQ#uXFlybPCHM~&H~z5NIT{D_c)yLv~xV|oIpD#(oO~1 zIf-^orkzu0ry}i~N;{{~P9@qoop#Qkoil0YEZV6|J7?3*Ika;w?Np(i^JwRM+PQ#s zE~K4{Xs0UeTueKc&`velsZKjJXs0Ia)S{hBX{R>r)S;crXs0giTuwXnXy*#rxsrCS zqMiD*(|~rark#eg(};E&)6O-tb1m&$M?2Tk&JDEFgm#+J&W*Hl6YVsko#wRDf_7Tc zPAl4JO*?PW&RevzgLdAgot?Dv4(+^4JG*G-J=)n#JMYuZ2ek7c?R-Q#AJfh!wDT$L zd`3H;)6N&P^Cj(kMLS>9&NsBPhjzZDo$qMpd)oPdcJ|WFkF@g>?fgtT`)KDE+WD1s zexse=Y3C2x`IC13qMg5K=O5ZRpaB2Yx{(KW4y2vDv~v*c9;BVgv@?Zv9-^IxX=f_!OrxDgXlFX@%%Gi_v@?r# z9;Kbxv@?fx9;2PPv@?%(=F`sOwDSb*ETEl*wDTnGETWyKXlF6)ETNsJX=f?zETf%g zXy;kld5(6L)6NRod7gG&pq-Vp^CIo6qMes$XEp7tp`Ep~vyOJw)6NFkd6{-L(#|H@ zxws&oPmN1(ryA{4r=1$KQw6lnIo}!(_w6lbEo~E6pw6lzMo}ry*Y3DiG zSx!4EXy+UZ0)x6n>!+UY_&U1_Hq?c7Q`-D&4G+UY?%J!z*G?ewOdKD2W? z?ewLcezen{cJ82^0kkuacJ8E|yJ%++?F^=!A+$4;cJ8K~VYG7(?c7T{!)a#(?TnT=e%hHtI}gy#gS0c5cBary;lg}AHHzTQVYG8N z?G&Y*VzhGv?Hoxv#c8Jm?UbaQQnXW=cFNGsQM7Y3?Hofp$I{Mmv{ROL%F#}F+Bu$f zPN1C=X{Q41oJ2b()6OZhQ;~K~rJd7grxNX)PCIAN&Y84x7VT7~owI4@9NIaTcB;_M zd9-sr?OZ@R7t+o}v{RLKE~cGJXr~(ORHvO9v{RFIYSGT6v{RdQ>d?+*v{RRME~lM( zv~vaRTuD1u(N2BZd5Lyb)6N>&SxYY@wa4wDT(M zyhb~()6O>9*-kre(9WB*^A_#wpq;mAXD98vLp$%%&Mw+{k9Ky`&il0U0quN9J0H=` z$F%ba?R-i*pV7|ewDSe+d`UZB(azVj^9}9np`CAO=R4Z@o_2nqoxQa4BklY|J3rIT zKHB+(c7COu-)QG|+WCWa{-mA1XyT=e%hHtI}gy#gS0c5cBatIL$vcS?M$VeX|(eQ?M$bg z8MHH#c4pDeqqH-dcIME|W3)4ucIMH}eA;=OcAlV}1+=q}cAli2MYQu2?JTC9CA9N2 z?JT98Wwdk3VSGL{D&o$mv~wEmRHB{JY3B^uIg@tIqMgdLb2jaqLp$fvP8HfYk9N+d zoeOB^LfW~AcB<0O#k6w??Npa9;BVgv@?Zv9-^IxX=f_!OrxDgXlFX@%%Gi_ zv@?r#9;Kbxv@?fx9;2PPv@?%(=F`sOwDSb*ETEl*wDTnGETWyKXlF6)ETNsJX=f?z zETf%gXy;kld5(6L)6NRod7gG&pq-Vp^CIo6qMes$XEp7tp`Ep~vyOJw)6NFkd6{-L z(#|H@*-SgH(9Rax*-AUF(#~tN^E&Npqn+AC`Fv{B!JW%!r!MVWPCNBz=L*`nl6J15 zo%*!XfOf8?orbj2h;|y&&NZ}iE$v)KJJ-|B4YbpQcAC=8jkI$U?KGpE=Csp-c3RR- zE81yIJ8fvEE$y_Uo%XbIGwpPsosP8AiFR(GozAq=g?75qPB+@Qm3F$*&TX{QgLZn- zPA}T&O*?&P=XToZOFR8&r$6o7K|2FzXCUp|NjrDZ&LG+uOglqpXDIF5O*_MA=QrB< zop%19oj+;kFWUK=cK)HA1N7gnW#qw~18FBO?Hoiq`DiCU?Ho)y`fvAg3eZkL+9^ak zhtf`A+9^UihtbaAv{RIJiqXyyv~wiw6sMgMv{RCHO3_Yf+9^XjN72sFv~vvY97{XL z(N0;~DMvfyY3F#_Ie~Ugq@4=1a}w>GOgpF0PDR=|m3B^}ol3NGI_;c6J7?0)S+rA` zcFv}qb7<#W+NnZ2=h4pjv~vONTu3_$XlEhqJV`r?Xy+-~Sxh@iXy<9#SxP(0Xy+N) zd6ssbqn+invx0V>r=1sQXC>{tNIR=&=Ox-%O*?C7XD#ilqn-7%vw?PArk#znvx#;# z)6OfjvxRoH($1^2^BV2EPCMIZXFKh@K|62K&RevzgLdAgot?Dv4(+^4JG*G-J=)n# zJMYuZ2ek7c?R-Q#AJfh!wDT$Ld`3H;)6N&P^Cj(kMLS>9&NsBPhjzZDomNNi`P68Q zJ8fvEE$y_Uo%XbIGwpPsosP8AiFR(GozAq=g?75qPB+@Qm3F$*&TX{QgLZn-PA}T& zO*?&P=XToZOFR8&r$6o7K|2FzXCUp|NjrDZ&LG+uOglqpXDIF5O*_MA=N{U*mv)BJ z&IsBWNjsxxXEg1Mp`Ed`b06)Dqn+`zGl6y{($4*~Gl_N{pq&S4XENRJFnBuHrm-vJ8#g=o3!&5?d+hPw`pf5?Yu)f@6ygL+If$5cGJ%LwDSS& zd`LSV(ay)T^9k*IN;{v?&gZoA1?_xEJ73Yx*R=Bu?d+kQZ)xW{+WDS#exRMbwDTkF z{6srH)6PEH`Gt0VrJdhs=XcuqgLeL;oxf=3Z`%2Xb`B`czyD_B!JPwXCokr=140b2aTWq@6~z)0lRyp`B}K=Q`TCo_21aohG!?ly+{UottQ< z8SONuoffpyl6G3rPHWm}LpyD0rycFIr=6Q=rvvSDq@7N*a|`WsrkyUd)0K9*(ax>3 z)17v1qn%G_=QG;*oOZsToiAzUE86**cD|vVJ+$*J?R-Z&-_y3=&Z$ive)kaqIY&Ox-3k9P9Y z&cU>E2<;T0or1Jeh;|O8ox-$Jgmw<2ox^FTDD4!Zog--HNZKh*J0)nRB<+-Z zhIWpkoug^z7}`0Oc8;T+vb0lp^?aZN_$7p9R?aZT{`Ly#m?L0v{3utE{?L0|4i)iO5+F49H zOK9h5+F43F%V_5r+Ig0Co}-=Rw6lVCo~NA`XlEtuyhuB%Xy+x`Sxq}@XlE_$tfQUv zw6lSBUZ$Omw6lqJHq*{4w6leFw$je4wDTJ6yiPmYXlFa^yg@r}(#~77vx9ctrk$O% z^A7D?Rf^B2Mt$6AKs#5{PD9#hL_3XX=Nj6%mUgbAo$G1m2HI&tJ56clM%uZFcAC*n zbJ}S^J1uFa745X9oi?=7mUi0FPJ7z9nRYtRPDk45L_4?8PG{QbLOWe)ryK3uN;}~3LOTU$ zry%VVqMbu&r!eglp`F8M=WyC7N;}19=Lp(4l6H#IP6^s6Njs%zr!?)9p`D{>=V;nF zhIWpno#SYyEbWw|o$|DEJnfu7J15dk1==}@c21_9Q)s6m?VL(Gr_oL&+Buze&Y+z$ zY3D53sZ2X()6O}xb1v;vp`G(+=X~0^fOamVor`FvD(zfMJD1Q-HQK38J2hyhChaVx zon^H14DCEiJI~S1a@tuzJI~Y33$(M6c3z~NRkZUG?X0GqHMFyqcGl6(dfM4QJ1^7D zM%vj#JDX|e724TCJ6mbzRoZ!tc3!8QZM3tUcHW?!H)-cB+Sx%nZ`00B+Ifd|-ld&g zwDTVA?53UfY3Bpl`H*%#qMeUv=M&obly*L&ozH3K3)=aTcD|yWuW9ES+Sx-p-_p)^ awDUdf{6ITXfO1-G$w)s9<*&wqjum7It7G76yu-2r70fCN?Gq z*0^px&b>Vk`?ue7&OeWzy zEli=Z{11IjkILS-j%zcEbO9CxOtECi`JdDh;5Uh( zgnyYbCI07$l!^aoX67tk%(CS%OUzDYZf4X}k7b=Bn$1}!(Z!bXun^J2FOL1zc$@Ik zJDHnXB}OdF&CO%;CjK`wGxar@RU&cb{P|4wW@ff#IZ~PB7@v?~X{seznnZ`>X4Phy z3NzbdT5a}=H^pCh)0Iq2O=gzDELEbmOM~joo10}#2qo5^*lE|g4Qn=PUbk_hPR(7a zH>hcru5Cig5*Ap>f=1OF)->f;BfmxOK7(x&{;!MefF46!Tx;2O@6*4>fWdtR4zTSy zbcpSMfkS@(Ps6$l>eHpGdk;HX)4z(9%9k}u1hPob&tR4=5vWt69z(iy@9E&$r+=UB zW|#X#!$3OSbR!;y={8!D)A+4E1e6oZdW=QOAvJ$^HTip0m zSrT&+2AwnUtC`t^&+=96fMkE~X!XR*WM)U(#eHZGv&{cZ35lCVtyW(}D{g$c2GY@t2{TPl`aRGF zb(^;^%axFpIO`k<|DV`^|4zxINOuzddzIVyRyKC2Q$JBTaWDL5loKXl=I8pT;J^W9 zsS=5P4f?;S&0a1730d;*T#ZuaOhh#kA1Ce}({}FE$fe1kfgU{u4e686_QY+Sc!@|{ zJFLf`#64NHe5r(Ony|sDI@ndRD_^R2_nsB1ma{A8U}x_#>~DKM)S?wR{%D;0h*D=vP(Z3!y zsGVkFx$Qyv_>_^sd$!)utuhP`H=7Zl7xzoM$!vP0uJy36)Ha6cZcnZIH2i*5k1jIp z{jfQ~di4#}E9|)vrpG*yc;TLsw`RS>`xceFyy#x7BR)@jMK^aw@ljmY4V;bPG_Nb` zQlV3ubxNl!zL(&bg|8nR4dHg6js|ewrw&ha`_qRa)LouFD82{-Uwim^v#uvPI_t`y zlNI0oa2&$79UPzGHm8mwaJQn4Zz*Ihh3La0`q$mizpDnm=I|Y=DgC<+Uyk(B_aX4* zgReDwQSfzuZvuP|;422-XZW(B`;hs@z*ic++806}tPI_zsrepuu(#=E@2Ay=?*n|- z&?yC97x>EH8wJM{e0|}l2X`q|2i(u7BN*LyeEOkV7auj>a6|vP!k3@Er$MJNb={!O zGWa%zL+z{PaOlJbay5B3 z&|QqrIOmGGp#&gd)j2Ot|Bf1--;&`|i|d~{ zAL{z2`lrrEG&JS>-uaL^=4lipBTNY>8royytP^}pXDKXHPcrwO@Hn6==hLeeet5Y+fEFAq(6Rp zBSV*^>-F~*K1Dh&3D%Dl>izw^N2Fe5=HQRJHs8_fPxXkev_3$;7-U=N>c=4cu$RPZ z6qY2?H>tZIeJE$*^3i0zF}h~r8mU!*ugELu`z3Tf#Y$amsq+$ih2ZOr?>RV};5!Ci z=uw$_<7u)FDxf19iEeQjIJ)Ee9gf<>kC1ngct!H6pgRS= zK=_&%_+-v8zkY6#IVW5P;X98`Ci>n2zJvJM!r_H)?qhNeX0tE*uusdtXTkXhMOU4} zp6I5)XZZPk1$V`VYlY}vmVU(!tufoBsq@i*x*DTnMqLNheDT%bsDp1X=d=>sJE_AG z?oQMZg08(`|7C+u&C_^&F2Q`g;j=?$GJIFy+lFs5ILhD~t>#Ev?Y}7E&B!Z(?izfQ zuD4;nf4e?=vQF(|wQu*qr+n4(gd4u_t)+ut()U&Hoq8tg!gGnvB>29;(I4NCpTgln{5gE3%!PYnF5$Zh-);Ezr5D}e z_mjrA4!&jZ)lVb+>t985>f$>Oj(qvW*CVBHyd%DXI*!K)_k?tkw-Vj^_T_(mG~m%4=Tea|5MGc)url==2%zE7!pE_^nweWqh5WZQ&yRuLF&_6q_Luy~|!e^D8=+6F;wEiuit_Re)k#$Q-h)yKF zZQ*#AQutDSkbU-+_;Ttf@=fA1)EzE$ZhO(^r3O zMbIewo$c4_A6HE)y1QMl-sM}DcKs&@>nBQQaPL3qk^Z#a{D5)|0`!=@7OyXO2I&s= zwiz!@i_~+buQFqA$Q`{B@p<(n&pn;QACMP@ZpCBb8};o;j~ zP6@rG<$-e=>t>=e?z`|!MQ1U-E^yq(w+|dwh##ena&VUV|{=|cp%8hmQv?cr08 zi^JD|by4WlWL*?Gq4-(_NdGe9TM>>_@Xe==j&Oe`Zz{SC>BAy)+t3Ha)4;%|zTYi< zRQg_ZwanM@tMt#tPUf2i-zRX?!S_2Hr}qeV)&?@)7ind_og8EzOoHz!e4g-~gs+8( z%SUSpUrAHn4r#^cUs?Fd!e<3v9{5yWoZx!|UtjqAh+9&}8{)ml)6sRsCkMJ&@d+Hd zt$y9*yS0k&EqGwHy}!?8ttfmGsOungHlVKQ)EUowL*QtF?@u`H6aP$J8s=V&JT;ff z@L9u`9zHc+_4B-XtbX3#1z#Y1?(mIC;I2vDNp!d1GZx*h zhW#hkm)}3HsQGrMu6E2JBXwn@&ad!Yg+uK>#i!!$4E=M3Zy9_Z@Xdm+GkpCgl)dvV z;q@{#-^X_c*GXo7N-M>DTfk=zUrG3~!gn3tUGUYz*NXm`5no6Dn$W-0oR4bgHp9mX zT^qxE|8{**b#123Ce)?s%*(lq;GC*+`IvL6&UF^}KEc<3I(oy`1-?x1nHl)H8?Gp3l=i%!K-$>^0f&RUuPnGb^NdIDq$B?IYF{rh?7!9qz7otg1imfk zEM(nK_|)}z8ysri+ranCz?YqPMfi53I|rXB=yt$Ievjm@)qqca4;%99`nQ+9mthXW z>H9ZyUeK3|2EO!g_%Qb}?1S^neae66`dpRQsYV<<(qMJZjoKYv=WxyM8@(%Zm)0)e z^q0GR1N8cCr?vZiBK4{3j<_{DAEZ}pVO=KT+#S7Qjm2-zbP3iw%zjj(fhE9T$nett)l3MYj%paHj4S^x=Z( z_4+GXQ}`;FUeCIv9f!}JbuQ@iXI)ElQouI=jso;$9~`BL>*RS6pGaORbZgUxXVm?L z{MtMLQ2)fN>=iz5_(I{^4&N^L0^ulyuLFD?;kG1C z^|c&z>_ztpeK?J-Gd}A1xFhpbk1x}|s??Phofq`|1$8FJ*8>h)eD}lGmH1co-%;Wv z$XkSNUHae)-(C2G%U^2;pK$H{^?H6&_&za*qV)YGd_VCW21j;$kH9gCxXM%UEaat! zZwNl&=;pzv1@l$+JIH-Fep(d$D@0vO(Fvfgz0_$=|E9x{65oUHO(L$&k(zG?^1f1c zTlk*9R|399CcZ;j9r`D)^PbY=oIKRa!?zB;9q?^}Pt9$b;=otU@d*3!D0P&8+n#;8 z4Bg`R>_Yc|VgFTwPwl^Z^iQ38TXaI$f48W!9OrTt9Bc5s!Z}^|m-&9>`nM6?r<{-T z@U?;OpZa&0zQ-|#x%7QMe4h;aPwlG{hW+=%aD7fepVf7L5I$GXErO5gm+Zse_w}j! z!Md|9Gj%3sT@*TM-*2Q(Pw0y}2ZM>n!50L#I!Efdpw7o-bZrfM>iVa6)&5i0zgh6z zqVKzzgWC7w;86Wj=b$ljug5+(&fK3R@%sGJ^!$5VQ}^>(n4W*nYUkL0FZeolS*|TZ zeNJn+*r$)eLbqBa{M?`6>Z8cIn}YN@v2D9v*l>6173CiMhx{-hBJb7FVShty7cJG!}mBG%C`g@PH=Cgj$q=2;IpUhCiI~_y8YSl0}lxA>NYqYS)`W2w=8^*OkCdDL-=H_UYZkpAK|+K-zfMpp%ad89ysdayAzIL zhW@P}UWq)l|57ktD|8p)^NjgEg-`nCquIeX$1q

    e`0RIryyLXn}7a9EFKrCC}H; zzZ2B`g+5pt_|*0KZ}%rIhwn0TNCDq;bb|473QYyn3r&gE1%O2ZvU9qN3PgYPVS zQ{YqQE`!-NyKQ zq3#U^KJ|0E;&p-V8GS#_9GvL;2>8_8RG&)XtNP^1+_$n1Iy3iv?1R(r^@r~Rdyz{%1jrVw@FCA88MnB*6`a7#i+54^w*4@gC zs<6pDQZJP2LHE(Vcl6I~i{%ap2+;FS?m2o}hGY7soDzRbUf)R)@7hlCZp{lxd$HgJ{-lXWN1$uL6Jok!;ZzDwYkj_+bPio)HRyex3P zqK+ceeVabKLU$B>h~V{hvBe{i_aNFMM;s_mjS)fX^I0@3OKF zwoR1zCT}nEReV$6n{D8`W%_;bm0zz%%{Bc#d9S8kS2LsUE#Nx_Up4ri!MDgTUoZNU z4(|5k>2T+#e{IqINgv9iyBQz-cErPFp^?AtKee0{;IZ;zfR>5=m8Y(7<`B(%S5s#d zeC^@*K>u36QIU8H@{$veBF_!J@9^pH9e_{G(|CWAx(~V>d?(>c%f2`TpYm1b_Y1y7 z;m{3yAL#38@`BKS0eD~?!HTXKA8;4IZbQj_y=k|~$_dzGz=WgQi(MrSTNZ-#ghcE2EJ=EEUbD0f} z6r4*7IBel=0AEeGRiE3#7Ykoy_}0RAo%5TW>)%?=?=bkr!*>uq2m0;}UqgIL!lBMb zSvblNuS=e~F21JE$Ix}g=Qz4K@tGLWsOg*XH#PM<_kCaR;TjG{w94?!X5Dsly0C6D zI?eFS3y11UCHRUHuSs4#;_5ni1l@`Fc%fSYA9a4!>y7HMdOb2f*T0s`A&|b?Fb6fa zoN(kYoR7CTo$VxEZH44LKv(r4K2&rq*Cvhcb5W`57CNQ&%DM{oM5m;of8*zf zZ?!_gkruvGGo{bPY$U#Os^rZ^w;X*~a9?zf>`NM7uOhFYO@S}_c3F4iy69;5c89}arTE6fH-va?@>W_& z|IUn%yiw>XpF__?*XC%__|{ODMxD9o`^Zb8HDY{;meQjaQOVWu5D$Gp2SuE25{XeJWJ}BiS9Cd_63S= z=>7tdT(yke7%0;gL&q*&4TsXn~OM~ni{O< zY`wGGsVR?i^O>_h+Bpa4)Ah$i&b1HHXBWI5)Np2`o~5tFs1IRx^oGPE$m`KZ;#mqw zUN>|Lq!pi+twgt=zxWj8=RNiPq9Z>K7KU>i>sp{Qf^|{otisnG4oiHe!{JBVioCRN zPos{b=(eX1`Ka5TKBQjal&n^-{aSzeIPONd@pe70YB}Jm$GSu46lYyQbgJT;teW(% zAHJ4ww1jUDdE?>!NuCY5E9gTQb)TjWsrSqG+qD!Q-;dkCmp!%g{WUsiHc8(-;LCuo zFC0_w%>>^?XW@34CHvq_Z<+5L`rPL)d?Vpgmz+HCsmGPzs|DXXbV|V29lk*L(!p08 zU$xJg5P#++d^zD>P8}sa%D!%mPiJ(^@EK#`I;0JRPks*;ty#gBkG@xf&y~7fF^8M@ z4uxYPz9r#Md~xKZBkoI{1$=G>z9R6ce#y_xzwb{}e@_?B{!0#DZ}>jKmx}()fNw6o z8Q?fgydZh0iH{|30J<~i!xeOU;?vvIw~<;e`X~2i`)KO?cAzdB>dZ`CotQ%kd>6to z17CH0i6!2Iymy?BapX;aF9^QV@QpF-KM(j+Kh@t$c7x9zzW9xDK03gc2Hzk!hTv;W zpYjpU%=st*Up@BePx$KMqxN+H!+hmFyWjIwfA8Fbx+bGjk-BbDXAyh{aZb14`PSW1X7CN8?tAn>^{bSjf9mfgH^A2lK5zIg!1scEzY30__!fs_1@TYh z`qFuI}ebu|6H#{1XbTR$`XK4Bx; z+*`8`LYe!q|IqbWz0R!mfx0h8J>j>Z5QPTI<=$wS_DjXf*vxM)$5Se?njxt|M z_;Qq!`R;-*zhS;h4SavwhZgkD4Zb3yh3_7Gp7bRneBt5MLYkY>9VgpU#A@H~X|My4l$0x6y5$#Q7GZu07Pb zjJooo^Bmv9oYO3v%ffIxhwmnJyeHm@I{L%+l0Mu;_a5g%_MMMr&3t9w`DyCnhJ5s(*^3vY~(b;5!Ikdipwwyu;|0#V0#_^9}R;+xe)%y8GxfWZe(=Lh%iS z!yVtB^yw$@J>+GE&yKv4=sMw(0lpddWHI&4OUq3EKAX;mxAuwiTaSHFgE=f=Uz|bb zHooflqZ__&;k(1!3vhk@HddbB(y$NI^G9*`@}Qg4>$Cbh0d*akKppCF!|;di=K2Nc zZ^t~`ktyN+hI-Rhb?{pdp!=8p9_TwiQs4Yx;fZrg!}N1qmlquV_Nv}~=|{)sD}wa_ zJ8B&77!#(KCEn(veA=V?8XxocW9c8nU)E03&v^3*kE)oR)7rr4 z$GV;9WScI0-O%ZZZ(TT2;F|)D4aECX$5G-lsN)m5#p%NybSuKA`g8$4^|&v5@nKSz z^;qfOm#McL-Q)0ia^J4{ zdxpH>a^J4J&sns-7ruV**}!)noh|gG0(=GVJr74X@tM>y9q#7T(GlHE_`E{5I6i8g zicdXOe~+<_zPnTB0P32D&IEk-!!ZQkwQ%etzL2~{#K)4?1ioH8@7#u?7X+Q0BkfFlq-l{b#KJAB^gIvD2bj*sFo{#>H7|GcTIK6O^5E^|A% zzAT3C5F7*X^@2m4-{Gnb;!+#n+uOwDqxFPuCwwE|OAX%* zbe7?}489fku7IOB@n!7OXY5OR_NhC%DY#Aqqw8pxuev{0^;6wH{*C>&m^$64s}(x6 zIG6F9)4upNgX1WCXQ;ys?!MH~6~5{8;S;*K;BzqDUwltH%JpxV>HgxYntFfCFYqmg zuQ7Zr(CLBiUO0y1tFFT*h_4}U417Jw8-i{@=GzI~`G)Ke>ip#4H8IQHsZSm zj)nNngySxAcV{2eVD3xU2jk)EO8;EYT>{@fU7xe?d)Q!puQQ0>^ThIdpIYC&7kBmu z)_)Xy<=tiABYoQ8J@p=JUauE8oo2?pO~HEhN83Ux_l?wp)`niazWR<{WO|37Q9%Lv z%pQSz9c_;3AJ<6y3V9E@OZ+E!C((U~PepWx9uc2g*XCOX$6wP5!a09!;NmxC2Q_tn z$rIK^p;L@?UxS73EWR(`$U8&$tl`@PcLwq<6K@Zns=G2irQw@O9~SX`0P63>ckq4z z1?gjX*1d&qKkM2W`Zoa%Uwl*als>(Kdp~?t;mb!I8_@0XL*|qg-52yhotMAeUsv** ztgBjx`5uzKPedm_zKh}O58n|uhQn9yvFw8(%y%+;GvV6;Uv_le0>wx1srLg=kJbAH zWQWfczFzQ+Luad+8yo}h^@VRW-08`CM%Y`+m3Eid{V;~YS@43^$OKLcg{y9>Z(PZovCXA zI?8t*97FKk1;=FKW#9`SK83u!@U?{R9d++9@Tu1W6rXy%AU}Lf;HwN@Q}~MD+ZK-d z_!i{+Mzb%~^)DxU4(wC4ub+RFbGQXvwa*pL-_A!R>QZx1eb0|hWzOX&I2PdR$2nEk zzmE^){N{#xD0MWW?kx17HM(W!gFCN>rsMkDjMqzNGT-*_9b^t`==&|^P>lZdrhg~! zji*nYh^u{&3BE}3)}cETA9elviO)FG`#T=f)O?ef-oJCL<^W$I)}2DfgLP`3lr``j z!1pnHli3sDI8(=o`<6! zbML}FsKeZ+{D-d3iucd2zwe*i)1g^#^LZh9g>>ugSj~;mhiJ=hot^2ZKeSu8YKNDb z{(jK&Xsxj_Oh5q5jb9%9@E!o9H%{wZ2|&+eV*#NaD)}OI~;xiI>YOdGFGS zZl{joGqt(szUU%8e{vZg#p-UIWL*$Cty;*s=dPl21m6*GWX~_Y&+Ucd9r1J2@s4-~ zTgj_V-IM7OK0JGh3_*s-sBYD%*BOo9`Q-kF}MDZX~D!WT_EC3(wANxXM%$(x044Sae! zif*qON#jdST`|G+QHYEeKVn6 z()b+Vy9A%TtE_wPAbfA(dj!XE`ckd5aNH;UggpNW5^u#hx`1v$e2R1KIy6rjUrp*7 zPo0C@WL@`q!uJB-r*O1{Z!2?D`|=%m!wL)E%ZJMJcvJLzEOoFUNVR9&86;o^r3ti(XE)o>x&t6-Js4C zb%Zb8Np#wCE^Xn+TU2}>R1uDc#2-+{T}O%MFCcmI;cEn6d`Z!@bV}NM+rp>jFp0YI zl@gst_^SOko$KyM2jRF2-+l5j!~KTqUpRIDf45=tFC+3v0Pf{JGzZk7D&z^nEOI7+X>J@-v6R z_(sBUJFCpCV1D6nCEk#I@XcD{mYF5*A$(8iL%)jBzm~O<*1zLhogt11TQT?a&Fe%&lcueNSZ z-gmPi^?Ivo#rM5@M}OR3;sqB;-lkO&zeZkqbo=iSpQGsZ7%x7GL;XFZdaQn)-pjg& z)r9X9>$ak^AHI5Uyv8>I4h`<_3x#hL+}X%;fv+Ha$aGrjwxBAv(7tn|E{63^U-_OqF z_az0Gv(ql=`%L&MkCnbRpw0sL+QC-_-?8weg|8v=Z46&KU)cxQ(cK8&4)~@S=KHt% z|JuQK6rKF=xxiNi-zYdhEzCpT_w(0$&t5P2npEUqgKB!%-36Zg3oCzJ=MRKI}_% z9omR)9enDbTOx_`-9=pv=y*`qHtKAF?+16e4)^0+y1+3LZb#~v3U^xSSb^??opPP% z0^idya-G<*SneOU5b1uQMDu@b!V?8vTpr9IYnqNZvQD ze^2mPjqVl0d^N-QReWDqR|~!+tXqzb6?}Q%D~Io7I7$+)Kwf|1>YSHF*SP;? zCmrE?!u^x#`K>$qq7^#x*ca89gA=~R;86R%FC5+I-y-%w8Rp*XKXiSr!s{$nBR>b2 zCH!5xdY_G#(^A!sFMmv1xvWOZWIY1()1SNFPu@LJ4+wPrW_Kw_f4XPX%pD1TUokHC z-a+462kVs``W*Q-B}|{>5jA!HjWGRTzLXm`7rdq~vzK_;Jd)R*_&86=8;Gu-kNC_% zw@;Axj56{0Xd~b}#p{(PdA;o{>w2QIj&&2zNsn(uIKuHA4u?J5p49P*_+;uhj_v^Z zV76E4o=YFp^=2k~>hTfy2C?o4I;&Y{j?QR&Yr-)U-zRW*!Cizpx)Gm29lg+vqz@yh zdmDXFJnHp&^;o^0KYFS3{S7)*k4WFU!M6*(Jn$WaF9?pD@STG1WnP(k{XsI{PUwcg zHxa)5@Fh3hk8xa6ulId7-LG+03#NZd;j@U7{Z|gY2JqF!cQ+iK^rb$0dEwqb9jA%! zrjE4eZpEi6x)tyV247cn)cKeO-yD3az%d=)>u{J8?@nGE@g3xK zLHCAX{{_(pdEZH|U+>Q;23&QCAA)P>H%~Q0Fv!9pRXX?`=5ZnR^@Z;)!o1 zuMK<=hW&R2KDoYlX(Ru*zIbcu`Z5o`*XT5buPuCw4gH&iZv-5k@VT&08xh~lK7EgF z1AIoJn;ajxuhak6`^UMJU^tCm0n6WQC zs3Q*DN$|CYue@RZjWO&$)xTi)rlZpyK2P|(@f`_ALwqCYlPmFqan`t;4nX?z@TBJDTnXi_#8r{o6p_W6&8)-=$babi z90I2k?{ntHJ~+qwoY_y^8b8=KNO$QsH00yjJNn8?QB8st2IzJ4zP?8nMCyHdSx>NC zlJNHyt+#%5ioL3jE;L}o!d1a~@sqYWZ@viArxPF4Tk`sxka)JjlJ~5y==Pr`J~rr1 zxGX+u-tsY>> z^g;2-`vCstQ}6E>HAU*mh)yu;W}{OV-;8aff1U8H0>=vYY^Y;5+~3ICM%_2)gDtwB z4EN!^f#K43e{_bzcNdN|_?CvxmUz)VGT%?fWxi|a^IrJWobsUi z+`y-YrZ0`*=!$Pw`gEE2Lh7)Fdk=N^p!;Hy^dS=6p7@O8 z{!aD&f62MOvjY7Kr|$=;^FDRuMrRDZ5pe9n*A9;3#HW*|;^)X458q(=Z~)zX@HOZA z8TI~k+xdQ{B7E=Qy9M7-_~M-9{Eovn295>z+Q4^>_(1Y16W>bSS#(e1lO4WL!+f7} zol)~G1)no@&8E(U)O8%4?)YAUBLLqza6BZg>QLu*IeB65-Gna2L?X%b5&2n z{_}$`0G5BpT@zxMcSLw6QFuFO}xpYajqTaW&oq^=<9 zyh>f_oVloT*-EZ2*YQ>7^fP?c)G-3?an#|-T>8Ox3cfS&sd=iOJJn z5B0eOB)`ulUsW3C7nejIU>8bPd{@E8+ghXJ=>avrf2w za>$C*5kLIb>w_!IH~+pl;q$wnSDSq);d3$aPdhQ9Qo{X{E&8WFUhsH;UM&1s$$)&v z^bJ!bUhjqEjR}+ZDe~5#+qkCqq(pboO7W4;)jgzD=J$!|Ouy&x(NgpKo(!y8hRy-j zbw#HQzDwbVz;^%~<>6jW9c|%mMBW>8_qzz+VRYNlhx)u;Q5U{Q)9XQAS_H2PJ!0K` zbQZ8K0G*qL{#C~JDtzbRwxbR&;!DVzj&4=@&?L+UDjPUhQS zx%B-rI(Ol#K%dg#yB3a0@P)z`dQs+^dw}eNrSSEEFFm?J20mv4Un=;Hz-JF%E%=_H zGXmccaKysb0KUv{KcbF1#G8{>6J6DZqv-zhkv_cV{$15SNABOf&V18R*K+FIMO~fI zS%Gg3IOgEHm3>x`_yzKA!e>KXVfdcWhezm+rw{g~zWMyRe^TxX8>!jTzXtH_fv*XC z*B$;mzop@*if>lJvMi;Jx_s^hzX4JKjIZU9gI_TWN z_v;k74$tCT=7OUd+{>t=E8Nc1Q5n8f@V!O1Bz&r0>iVo6Tf^59zBTZzf-f~XYTp-x zqb9z|;BX}^XR=j_H{eA!Bf*iN5CEh<-KBD-$#QP_mcN7U( zn{fZ6N3j&MrzhM$898KGk#`CAPu45n>QmzVlTC|U-r6$Z{>h!5Ez>VexPLOPoW#cs zmAp;;CElixKNNr;!|=+UMO{U$|e2Vlv#9p_#}<*aW+}E4!(99WnG^Fq7wmMT{Yig;=6N* zaO|Y7C5Fj-wT==GwwAmn@I7NrZF7jO&+4S{mCr7G^Wf{}C+iC56P+mf@)(ZhnZpKt6xtF=kv^P{e7)LH$CtSj3<_}<~G!Lh8c@b&f(zVgIl z$a9z|@zAo8Hv_&(@Oc#%-CNs}#+RIZ5e45N&Tq4#qH`Kw)u$O%#COC3;iv)ML-MW< zl6bMAl6M2$IQsCK^HFPC()e;y*8=K%zggCuLgy*I4d5tbBfht~2}f1px5;xJE%B3_ zb2XR8@XabObzeP{G`_m<&4n-fDp_|Vr|3M!x4z=z{NCy*9O3NC6YNu$p%On@T_30+Yt4>I!ELo6pEPH(hjca4t8(Q4HVfgN36q+;6DEg7fi%`R;`;HGSy$ z$Q=Ie6ea@z_)C!tZSQ6_>SV+4313j#nPw7#4nJypXZhOJkO|o9fVJCP0@W5 znl!%NoR2{GGVhdi8s|gpdwV#}^St0VMf%r}_#OC0aowKAK2Xm~(Ip=%=2@y7%ZL zgU=1V@9@2ZBOJcr@TDd093=g#3*Te-mZDq1z*oh<_sr10TJ*02e3#LQ9w>Er!1tKG zjD}-8zW#75CH{aqhQa-cI?|4meeI1;S9H(fGuU*0lb@#Z^T0#X{Y|HSeV)T1_Mh6v zci0!#nZrGN&%qIa?-V!=6aPV8AL7r*dqUlt;p?F00-xG%>gQ$kSpB^94Zg+bWTx+D z;ZyrB4vsVUj)S8#`?4T??nnFtdBf4Yg3l#%m5<{2+jV9+by+iqAnNKuonPq78~8%; z9R)`w_)@|*!ob%WzCG|o!{N8}C z4n9Mv`?z7gX6pA1G_)G$;~8~zMaPl4E>LGK&SehOKh8&QIMn{zPaSLF4yKMw)V&M7 zcJN(?PktXfQcDY;{Jz*nQ}>^)fo}+WFF7A~;4`N$6`A8Ue5b+j5pHYpx)F~iuN}Il z@rgvYpkcnYhW6=e*y>JK_B&UG_EVu%T_RKJv)t zOe3d<>5s2gT9H0FOfPdw|JJ9#HQkc<0rIZjl=$Lnk{7Z-bh~92pQh+ms4hP0`lDX& zQ;%=*dgV0MT|%cG>ojz3<9qh7@IA%%2plWmb0n`a+=0}Qfx3O@!y)ykcteVud6`dmZZh>PXzBS>v1NR~FqToJC9cR$>pbrhutz+n)#_N5GPrcq- z!%F(zkUCR13t#?RGGEn~nec_dR|&q6@HO8r`=ASap4Vl*`{BC_Ump0P4Saul|H;Yl zHHNPyeDUbqqA&O02&FH9aMXj_hP?W4o0HcX-5L1Aq3eW?>Q{C{|2{I`ZPayuI@eQI z1$0W|I~b0;^sgEm{fXBjuQ>4!9M|x* zgTsfoI_G7HpC)fLx(D!4=kC5?zC{fEQ|}+!nYs#5=LqU5!v1rD&jXHU_&UKcjd%s} z)V{n--X8c)z-LF@r{I(KVe7N^Q&x7w1y44MQf7^fMa>(^%8+%vW8Xe~`Bi-K+E= zKYS6)w&2%pCU6_XqG*#n&6Yv-mo|(So`6W*;KKRIK0V_dwr0uhg%1)OnCpv^!XQ7&yn!{ldWzBZ_1wV{*xKr_Zc90Pr^jEsH6C#M>ll= z@i}4Q^V8J#HRDWtKH3;Kv#>4zom#AOL?>-N;p+*<34Hs&@rn2s8_BadDBSVXQJA{7 z(}%9;I?@NZAODsXL?17j?r*xHsn47DV_jNw+*mgpo%{IO8v2(Lj=AvNq<`b!o<$u; zse1!`h`%9o=|>-4^Zt|S??JNi{*x2wU%&Fw_jT}v<&(Z&hR+$_A8>r8FIV8OAs$7a zL-$Mn3JjF_?t#w(zMSaxhR>G!b`R0NyWF=s6uxx!!nYW{thU1Ei%uMT9&qfXFN5KW zC7zGGuf$W5=Y{TT`mi6}-1xY0|D@t;9xm^XsrFw@>I$b$2kNpy#}?n@%=e|?e5iOa z@*czYioEIYnbC*c=oW(SjHz#XfBn765L4g$HBb6i8ou4|HG|I%olN+?qfg1{ODgtX zX1Gg}cMZOq@NGfY37<0PcEU$pSJeIP>an^X{w{rAPo3}BfBxvC!S@Ax8R5$cUo!ae zlJ^?E*YNFwuOxh`?nVYab-%mfn??UD=(|6BpWyR>&m7+`@O{HKGkhb6SK@rw!RJpM zJJ5}x53A69f{)@+e@~+x_lK_$bzP^<64aGO@!86CEgc*h=W++)%iK-qXL5^v~Qd-#7Fxmc0Fj z{Z|y-#`GaC*O!CvJ>dGH{+_QMeCl~98|y64sX$*+!SNK|C^(+N-G;ni;#rt)6nx(J zeB}CE)3E=H&%<4quLJvU4RcV}zq#-^;rj@VocKP2!GxeZTq5CMan09ez#4w}sE zm>qLpzCKv@%5%NK(0-Bn(r*vlcP0FN#`_JsaxFL%pwIczvEB7-$Mi2>C7!}Y@){El z*eH4LtVDOxV)3y@*Sf9voZ$Yo6mWjy{o%<^^PNTCUr=Xx>Z*c{C%$vw z$cyiDI7SnnN8VoIg~=NQ-&pw8qWc~`HDC399_q3B{A3^aqTrhipC>xA@tqBaCB94H zSVnvzd25M(=A1{PyBnW|=#DY$Kl$9T7+vwn=aPl!9jU7~bviQNx9H5oS8>GRI|B~Y zS5?Of;;N2&@P)#c2i?vFzKWb*#aD>=_J?mYe6Q*Ic66q}HN+9sQ{eyW{L1_EcxmeM;}64k1HO^))j($*{ToRC)OB|;92+ky~kA4Yzp7{CQ{XQ4|kofuCr)|1E9F_3--SbWz@t&OU`Q54gI#v0e@cG?y zGtM8M`1#!z($@-^c(|dSJ97DoDfQiSjd&D!wF4zS_)SeyUN&^Ed=;PATcTUtNqqj~ zGCqpcV_9c~PK&a#?nR{NoX58e9K+KJU(L(Hv4r?tU#Y|UfyAS2C9l8YqYuaSi*EAF zN#k3@x`F6qDkkf`Ulg5Z`1-<8C8hXw3m1;|#NDaGDhj@gl9vMA>ffY){vo2`NRy=T zm8S3J=;U*hbt7(wP6~Xz;V6+xd|$BtRufN7-ppX(dl4t|Rr{|ZJ|n_Jw?K)c@inKe zz3?@wEbIE+7aa=&-`q69cZl=56h2Gx4zn+3TS(ql_Fq}}T$t}W=cMs4A;LA zoXb0$Q(yYBGer0n!Ke1$l#3GooLu;JquU3*6!`#oN7Cv=-@x;eHLUfzhC5>+o>mI;Yvc9aV@J4iu=c6On=cb$w z#hsP;<~}X`yYNNMM<)8G&f(~jqMI#m()ec3_x$F|D{`y-h1Jg2i9JZdY#zEj>Qu0k7!5y7J2?}B%aD! z@~qKKeNcP?--+(0qvDg7_fv1Hz8~ZL*45AZ`B)b^L-<+*$-4dMoWeI79Qp9w3dcO+ z`N?yIdp>ovf$su+NJrhL>4W-?CKNvPI6ZyLd_d~b(8)<%U*T(r?*%xf<7*GcaN@bb zrO%V#wx*6q>VAXINpy?R2gS3^z^6XH_VzyE^MddG5$RtY>U4(hJRB3?bB1qgVVQe> z_%gz`6+R1e>oTWp@HxZhYWn>1joNbRXfP`ZvYUzkKk0q3`FJLuKkZPMw+X-37-meA~iNwy5;4 z7kN&^yO6g8zBKH=s_=a>@GUa%soyJ>q3@62s{`L2_$uLh)-c~{a9G3FlRO9F?(khf zHw!+8&~-8FKlSsT>Zkg7P|bHSb-pspw=}*-;2V!`Z8%;LuTNf8;zP-M0bd39cEMNM zz<1ElKlQml@7Wjg;ClgI4dze;Utc(8;9CohV#J@3w}^dNjD5NRUDXG*uW#ccpDXUK z^@UG9S3E?^%l=D8UAI-8)OCb9yK+8)IHxP|%>&0*_!_~d&b0@14216#eP~48PvKi{ z;u@*>!I#6t<)dYXuO)nH4xQlJ44)Ienb>D-@oho>)VWdnR3ko%ypz+fiILkt-&`V94CpZeX5@K#*p_DKI8Sz$oIGXH->ZH623V+@7OYj z0`OghL!C=E_?|QOCF}z;=DwDFp!Q8$=Cp~qc+iJ`x<0q%b(S+TQ&|nSKl1By=vE#6 zHq^Ceu+~4P@4Dzd0s6pOec#^b9jULVdUr?b3qg9uupy(ahuqOyU-AmC+BsN19@op~ z_Pj8C*O8yahF%HNR~}7ypkm%@dS>GB!s?k zdOdY1>+H~}tIN9O=v>3MFdTF6)!=wSyfS%viI1X=dFZC64`rzPn|ufz(kS-CFcvA9V-OzkhoF z#9P^=@AuIuR7L7q1D^-Jfp8p$ZzddppJnbImt`NE3zWIL9+ml)Lw6y3E8ufxP8aB3 zSN35A`X`@@_)xE&L-@|4a{#^(@MXp~2Yd(UOD6b+6CXewvxz4s?*zJT_zXt(4nAtX zDL(Z$ocTIXmzu*i`hJu;tKfSG4uAT$2aZ+5>yx*U_(k%L!`BJE0r15b_}bGy#i!mc zY$kka4vzGF4SbF9-44f5eEr}!O}ssM%ZcwGuPS_F@lm>2@o8Y<^3l}&&o@kc^V8J( zc|I~G`3j0sJ9$g#0 zSadw$>k3~J_}0P^im&2`=X{v4PxHWchW!_gt|LC9(e=e=0R23m<}vr4?1Rh9-TgmweOC7+sy?gxUex2{xm%}ix;aSiR_N=Th>dsj9+iu` z+@BqwyH0z2`(DD|X_k37@5PJNVR{D7q{2h>sb%qpOII@%hB~e6y8xG3YF2T}pJ)Jrce}aE!pW1sp};e)2%_ ztnGw*4|NQu?qF--Yk+PA`k?xx-k(rCuEl=1#k$()jA30jbh6TyTyUJm_cMIHa3`aV z=EQqY$35zvPam?QyNo_49`*f0<8#tWcdj{X$ zQqsTo@P)wl3O+TLYw*eSI#5&J56bm?uht5_&hQ1o*9ksv_-yeV1IJQ)8^iaOxFdDE zCjON={Lr0@&oXppfZxA$LD`}P%e&Ze$3=&19NiT+*2_bwb+h?j%!Ht}%scEYy^ zzFFu_fzSB)(|t^R^U-?Izi|3~2fp3#S)gN$?`Qh-7GF!wK?e9V@*?4jB=0G@kMQ|4 zRjv!$@sZC>_SRJYnwz-1H1+N#!-5)vSI-8Ny9~X5=_&W>F_|5Sj2Sn=e>rPI6yWx&L*t-9_ zIa>qti=7^QzG8Mv_ay#Keo{@y+#oG1Bve1AC0vd#^i zg{)hI&KrD(!jTr=9&qIJ74DYgeIVY2I@Y86AieN?MYj!o$a_2D;j++2+V{ve``Y-# z=w7n|JXT%|);7VX`nL?78LT^qPHTMA!7&KmpKuI-`yF|GiD##dCg^6T4?*Z|rVnba zs(kc{tJf-iMddYk{;hPe^q42$j~bKQRcoHJ|}cT;A;tA zx*_5-l-DcN?~6IDDhf8I11_IMjSE!1sxGZ}Pqnp9f!4bi3o@fv(zrX-wzVUrWXL zy>8<2(yqdniMk%3)6ua12H^V>j#2pDfa4qSf#lsJKGwij3%>dAZ84mWzg-8_`FIRp zQ~184yHQt7bfT!s8@>_vKH!}C z<4|K?K18+22^_YU1+@X5K2)-0K?ybgItQ`cu-179?JZifE7q<<^$ zRr@RleD&bV2A?~5Rp48RkJ{JfTwml|_-pF?%5}v{Q?I8@W1ZT^YF{*gZyvsv;oF06 z7<0@3UwiUi6Yoo2clZk9GZfu+hW(e7{;BgD!1*Xn-_<@*`@)=kG6Y|BPSyUq3dbwv zK7)O*jk!-{AE$Bqh^Xu>XCw)H-{$ABPL_a;^`Qx7pV)XnKqRQ`d zFRdSp^UPMQUqijnDzgfg=SJ&Kqa*DumUx)(I!Dv#b2HV_L-M7_Qe<`$eI4-|6Q4i1jE`dV)2y3_&YI$~ZrKabxsUHWIMQDh-;vpc!~BMD zTacF_o5UYql)UTc_N5O?UWx8ze2heYK91GZx-01Hs3d%ge~3*kdE7fJ)td!EfqWCI~^FiXfBDHXQfUg93@o6P) zaZ>UI!l%y1wD-dIq}>0EuPl7Q^l#oZ(J6zkny(-G-Y%1Q=U&&~x zyG7Qd_3s0GY7QBy%DTXxqVtjKOB${(*F(hD3Xb>i<)VL=xNdi$e_g2i8$Jh$$i6Ai zBWZl9f9m<;5c6Hg`B2x5NH|K~5WW{S(x>~x9pL*!JR5mK;Y-f>XmL;K-jz3Le4Xff z7UnR%nykBLDRo-n`vZ>s5yH12r|_w{&u1SjO(*e)V9ER6UY{rMeU5tGvo(Al)Nn<< zvWvQ`*DY6BKV6(~pF^%-r#udmg7xHf#WjbCkMwy{0=&JN2k7^k#mo&K6Qn;c)GEj4 zDUo{R9_DM`ow=hAByK%b@&dX`ykB9-3tB0$Ou($xDqR%6{Gbjq?W zB|5|Lje+9^zK!6hO*|F-+Yk3p>Nt$$3C(y zEA#z!Qr2~ZuLFFi;J6Q8EBGEamAQ|GuQq)5;X4T51o-yD*T}&4x6jvo3tu((uEW<3 zzGnE=f^P-BmONu3#}D}*{H;JXWs z@AxW?PsA6Jr@{AtyzKDB(T6tFo#K?tX$GJFtNxzv4xj&9g!9n|zHRV1z;_D1p@#Xs z!nYP!kQJm8s_!fra419y=Ume4IYr=P!IrX9L&G1cP|G6>W zd+a|o-x~1Ehp!HNXW&!Um-ldl(7$eQcoSE7^@)EWZ#KG}@i~TWSA72I{bNhA?hrcZ zSr>}VV)}9gj*s}3gJU0YZ}LhKx1i6L(T&DuExIG{QP-F5hVxOB^IMetXTcntIrj~j zLnnMsz@e@iZg8At?pxUhxtV+FBC`Mfx7X*t-B+UO8usOV%@YFy^xmicuh!lK>g#!5 z-6&oYF}{I2`- zdY^NzXMOfs`|tUmwXXHKuJ7xqp5lA&@7mkh`|vAQ^Pf``yJ>X6?(0@otMcjA<9=AP zyIR4H1^1TfxVBpF)4wcUVd~aud&>{ZKV{R_Y8%RLxP3y&9o5!U+W-38___x1`o81$ ze_iSLdF%ha|JV89ll?#Mh-UkLo%DVDr+7QTg96#=|_<633A9qFk zJn7e+8sEor@#}sP-^cFwz8{F+N3(c+d;C5M#m_r5{v6(m-}kN@e}4bzuk(q&?*DUt zBz~U8P51w~uZiz(PyD&`Nq-1vFA$M0)S{66!=uX|&BABE!A-4x$Pi+H_oeBIi3 zJ$+sJ{>H}l_jY`Ldvbh#>9244{?dP*-!{I#1@Zm$jPGx1e1B!)*Xb$Q zApX95F~07Sc)eu&eL69I-rDi&JR3jnJ@MHU%ZoGyyjkBq;*E93jC9KVnB{Vk4PXG8qFMdHt4|6kYP zRhz^=FS7ry>x8Q5pMSnT{@jPe_xDHqxlfM24(VS%8pijLFMi$huOH{cU-!oG_rccK z=Xd{q+UGp{4S66`f%70|>y|fe=Z7D}Q+@%+^MzlS(Yoaa-7X40IJ_!P`5_>`IJ`jk zB^j+-LC{VAWi;|a;nl+rsA7EyCS?~_?0~6r9ggFc!*Px;9pZx((^c=L?bts>~wBK*|wmOSOBfxK0CrSR4nt=s9KTbuAR!rStc zp9%7I;b(=n&uHB$gKjs6pB>(Tr~Dj{cMLx_yi-P}UATo?XUN&w3~hmKUBa~s@~$A) zdtcryqjl3R=yq$kwm{w;!4u3eD#3)g#J-an&t(=Or4a0|p>%A|(C!=+19JhPJwFUCwkaj^n0<;l& z@5@JKv~Jo3-A09L3*@6g-XwfXcvGJ8u^FwKc0srM!fy&6$5XCdkdF^<9zG$Xb<-~B zHZiGJDZyP?Dr(C-rpAz0a{Gp82O}n7m!{Hsmr}C6* z7v$5zJB2@z(N%cuJV^VHp3`}42Bck(&xEuK@>$Ro^xl_03KzhIkY3kKTcF$QaBYEn z4#>3y^2fsU-j~mXi{TQ`*XVVjUC?b_xVAt(ALPBm9}n-tQ~m_hfSRDM(d$B6pxc7* zzTpdb%KL%*$#A{*<%^&;)B$~sUKiQ|-JS{`5WbkFd?3h|gzLR8e;O`_dZ4e->*6lZ zZE5(R@MS#ZgF*gG_>k~tdFI>;-G+j0&xPL|zMQ9g7|2(IYZv6tLqli;`Wn41?giam z2p=B4lBZl-Ab&A@WcVtc*TQw6uhHv5Td)dV3fC^kSA%>^_?qysJmqVl2{Z+Ljb0bp z1>M$#j|*SVQ$8N#8^R}qzs$24G`H7v(=Oe!TcQBgl9mTARik3 zZ}wprKUSNN_9D0YFoK_JBxpNUg^vpVH~TP#A3GM(UdZo*f4dLk`LPo~+o4U6=Vl+Y z9omG=@Je`Y_Ced>dy(6H(02GK#q*C5w>U;a(F zc0j%-qjl3R==N>+^6>9?%2$B=`|#((f5>RvUI5+phOZ3&k*8emefdw}tHOWIXx&}{ z-S&mA4*!Lxd=1Ed4PP7nTSn`)4s`oHe0}&IJmnie{%82h;eTbcZW}?jzr#0$|HD(h z8RYsm^W@qAd7g~cZHvy_4g~pDkmm*Ys~|rJN?SgJc zK-vZQk&t#lUK~E)_x>TsOJuZe+5+85LfQp+DM-5@FAZrIaNV^~}3uzbR85qj^-PtWMI z3%Z>F+6Zld{7gu@AU_MV5qj^-D`#}t1>MdDZG^T!eh#Evke>@_7vxnkI_-jP=Rw*9 z`T3A`L4EhlkhP-gtrKv$nzAaXs_$0Ezs@$aBYEn63APJKM>xAr~E;v1gC?(Mz0HPfo_w- z+l5czDQ^$*hr(|Tf0*Z4P}yGBO$+(Rbej?0 zC444Nc~_9n3hx&FD9;PvLVH~|ZGmpH!@Gyi;VHijoUPlXaqAmio2R@V$m@jn55J73TpOU9x4drL283VEQ$7&n z^}_EAzk;Xyu8h_#H~UbZAKw6mz|ipA>_a1d4sF6cpiRi_KBQe3$; z+Jv+h^4#o0bAEga&~|7OPk@ zAb&2Sb-O!m%fpB9l&=7}-uv?B!?gqQ7cyG6;c;6TK7yzGMUd;gFJBd|9gx42(YlR} z+v@N!JmqUZJ~n)9_oQumadBH8KAxw11IYE>m%ki7F??f2>!w}MZBzK9@Xb8s zdhg3$34btrOGfK98FbqkJ|+BBo^rkS<*$W59R7Mn>oyg1+ZH}8d^=CM-uv=5!l#G7 znbErGbAxVgh0hG%!Baj9S~qQhZr_D#3*_H}Tw5UjAzZs4-<#38 zX$y4wFIM2ZLN&AU_1;+68$5kn6oKFPPD~X%}=W1o9mqKNRHJ1$kkR?*w^~ zjMh!Npxa>}e;4G3gIv2HFA8$)g1lHpr(HOL+mVp7-{;3_3v??EX&2-rAnk&@WJaf5 z(5)1tU67ZCvQX&25%7v!gAv^GOq zpxbGXc0pbVv=Q0@`RR~$L4HO?YcsS3x}6DW7vyI_+68%K&_?LJFF!k@(=O zp9^Uh3-T)Aa4w5 z7v$GK&b>&xpxd=j7PJNO>%z4K^6Npa_rClF$hjA~X$y2~60R+fHwC%2Kz?Jm-uv>K zAm?7BUC^x=q+O6VhqMdw7Lay9-V$=|McM`3T0z^1LWL`vYo8T{mrkZhgaRhxg+tuLJV_;g^Nq!Luk7v)7NnkA$=bIa{~la5>ZqFA=Uy zke39xHXvu~Rw`~+g_q_juMhGv;o1cGQ6Sd_ zTiLj26XfMUeqDI^@auWXj|ce;8LeAx_MrklUYl?uXcOex1i3areoFX%vkw*d+EXFz zgH*Lbd-G|Ej*s~$+h5Q`&xBF0qAA26$0@?)m z`Qcr{wF&aBAiprYTlhsh<=OzAm={h?A-1{O@0k+LLbm3 z$aAv~+791~vY4zX#;n0{Ok++6DRWjMhzCpxcOW?SgzH$h8IXQQ_JJ`RI(+tx4R* zgg50W9}9B5_vQD6>%A`@m(gh#bQ=%ai00uF!u8&lPXxK%`||rUI_-jPlRz7xEs#GD z-X{D(o^rkS<&!g7w{~%x65gJt{2`F*y)S<_yhHfZjMl9q=r%39Q}`o1<$CYSr-yeA zpOMkJX$y3l8QwK~7EighK>ld>t>LpXS~qQhZgax51@gy0u3eDN4euE~FQawq1-i`- z?;ZX)Pr2Uv@+ZP?4_}bcy7dL!7KZl=f0C!XKgbt_-x2;)MyFj^%xwwe?6eEIJq>q) zwm`l#Tdtbghqjeh=w-w>q0{QbG*A~cM2-kaG zzA~eA(-!FVVz{VvN%hzXg+6CP< zfHp!~Ab&Z0V)#a$a=rKEn=)FrNpag8u3eD70`dpLw}fjK{c0pbq(k{r4hqMdw z6F}Rs9MbD)7j!!j(k{p=K-vZQNsx9yelln~Rzi9`?SgKnK-vX)MM%3KKNZq0$WH@p zhwnw&1>Gt^+6DRPppDQL$j<<|-uv=1LEGVbk#<41vmot)yfSDbv<33BL9Shpp99(s z-wWNe1-hLJX&2;GAnk(uJV?7BKOb`LMcM`3E`YQP@(UsDg8U*#yCAO$Irk#%f^HW> z+6DO~kaj^{4bm>it3%GcNV}k04M@8nuL)@v|WDxBHND zFLJvNIrk#B`;c=la=Q;X_ae9ZkaI6`yAL_{B7IJ1$aXY>oSi;5=++q0=LY#Tkaj?R zZAO>nHGNjl?Yi*t;n(w&>%A|(AzYsg4?6t2$(@@5&W zn?5V();zpocnhBLQ$gM`T%Qf(tuk6SeOAz|b@=JwZFtJh0D0SReKwG{%jopELAUmh zJ~zm3hRSeuc!zL(HjsDBXx;Q#LAOrf`m7+o1?1<2cMjKQ19_K>)=i%kbn62rg;Csc##;k`0iH+@#nt#^3M@IE}{wLpG* z_@&`}Gg>!&R?w|qc%AV6Jmr^x{EqOt;R7;SH+@#nZD4r4@H=_R^;toFSNN6TgECq- zeOAzIaCrUjAw1;`Kt42FpBvIMW5cxt^7}xpEs&23*Lz<+KBINhF6cHPTw5TY2=bQU z_lN7fFQ1grx@i}5dmvm}Ab$|#ZNn#r>%A|ZlF?}wbbAQWF32ASZA6Fgso{F>%co_u zZk^)xNVs-EJ{{zp!)Ju+y)U1c(Ykew+pKVHf&5XBYZv6R!@Gyi$!OiQ1-d;Jt}T$y z1-W)XJ}+GFefj*1)=j&h+vDNd0{Igl*DlBxg!c_!n9;gv7j%0vynpy2o^tJi{HgE( z;fpg`H|>IMOTzCAf10OUyC7d0J}7)yM(d_s(CwMq&Rlxqv*&xLCj!ofo{9PwFUC`K&~y2?+%|I{(eU5rY+FzgYYN9KjbOb zF33L$Ul{&zM(d_s(Cw4(Md6?Flxr8{pM@_D|2(60(=O=tMflU%A}k6-L7t(AVg7p)Jtuw{UHN{CAMA5C0>415f#% zFb>9pzDBPLZGmoog>MZ1o2Pse$o~n~dtZLQLI3wTLSLiTg|736tA zuJ^wDAefA66VmHx7j(-9X&2=A;dQ=t8^{j^x!(KoLtrXC4btnny#cxv0J(NSUJ&GO zfxHmNwF~k?VFs>ENU!VmHt1Fuj(%kA|o4#gJatO}n7mF(CgEiE07-ta=rKEWnn444ASemX%}=W z2l722FAwr>L4G{QwF~kS;5mFbq}NyA&qLaSoUPjn@ZavkO1}0*NP8jA%|5K=$7>VP zUgUNk*7I{|6aIid!*jC_oA^1j3IBjLA-DUmm7mA=BDedHb|LLWZucSWLfVVm?nByz zv=_PEhqMc6FLJvNX&2I7H`9 zz5M;F_rCmONIM`uC8N{l2Hh$``rIHt754FS>Af#M4bl$CD`j;0+@Ra(@Ebq&caWa} za=rKEXF}Qm`B@pQjra?6s|@nLL4G#K_1>4C18E23=Vo;J+@M<(NS_v{4z+N8{~B%?STC9j82~$bgKvHbA$W} zNS__qF8{}6*+5vgPj82~$bZZ3ZbA!Awq|XiVYas1_ z{Mw8z%WL|qpxbrf`m7+o9^`uO%WnwR=LUI`j841Il-rGvv(qlC&3-wJ6Ly6g1mP|r(Mvk57Y#0f&BJxZGpTm$ZLo9%V^!S1-kVQ*A~d{0J*k6 zJ|JB0efhwQ)=gWW+nwRs0{LAa*A~bJh3ma9ADq#;X$y2460R+f4+XilKz?_)-uv=l z8LgYPK(~9swFUBfL9Q*34-eOSUp^wEb<-B;HZojWARh&CZGn7rxOPE4CZp3XjOBJ8 zM33fFsI{y;|SrY+Fz!SJ@>lX=S9 zfqY81-uv>0GFrErDOh3ma9eDI%a>%dZrTFfo(|U*$d`g#TOeN+ zJ~;fDjMhzCpxd+IL&KlrDc2Urmxm7vUy;$eX$y3FKK$PB7kJ9G1@e{QBf?+IXx+30 zx~&Qy75)-Wxwb&QI$XOTUz5>IdF@6>`;eY%d2Jn}U68MbvYm%j|npgE-1 zb(;vfZ4B2I$TxvpTOi*YuJ^wD6=(&mL0_ZSg?2%=E#cY%`Bsom34b;GA)fNrpdGXa zeT`lh+5+8P51$&oji-DX$hU`U7vyh1N9Y9l8oe&2gKlqz&j^2ur+g;JcZBP`FMk`l zfHpy2qt}JDK)0RYv%}xvDW3!Kcf+*{@?Fp!ZUcRdUKevgxA(&5h41DmpAYi)!?g?Y z51<$H27QfQ7f*n0ABHao|A?ntyCDBK{K@c7c=m;U_PTD`0^L3h*A~b>1Nq|c&%>AS zlz#yOU?Avg^t#X%==Np!((tc%%9nxs>+om7zu`Fu2HWepX%}?c6aHNIw>;&`LH=F% zitz7w-VMX-b=|ZJy8RITLik>u@|7U}G5p2wpLh<35%#)n+6CQy4u2_pA5ZyekpB|C zCj3{PqhXA_J{G?Z(jMe&-NwN>SRXzAf_zcQOdjo1mg z6#@A>AU_P`dhg2*2f21YUNob1dk=Ig2J+n?KLX_MgZxO4>$8Epct)qs4Z4*8eTMi5 zHM}b`LefiOlc0hhiMyFlS?O6DdANv)^j{~{h z`|`4oc0gV(qqPxxK)3QB{}$xOgIw=@`3aDAKz?FIYa{fzLAMGZ-wX1SK>j1hPX_r< zAU`Feb^94~s|fOaAU_r4zkvKSkpBwuN*UdtR^2NODaL#AfV_GBiT_*GU(MgYqx6=| z%m0S;nfl+HZdAKY?MAih*Q(v(%F7#H^FRO1J%{sEZCmwh)uUZc{uUq((F+~BwCmcV zW4Epc9HKkFIR97nfCKa7$-{pT@IU{To@eX-Tgd)z`2H{c-&dCA|6lzd`FqxjXEx+_ z;WVP1#tw4j}qw9|@qTGLJ&+G$HW z?P#Yx?c7W|9cZT`?R27@TWF^ZZb_UbV5ZW0^J9pF0Fxt6?cJ8H};j}Y?c1F_9 zDB2lKJ7Z{PEbZJ!JL70)JniITGo1Xib1>~3LOTU$ry%VVqMbu&r!eglp`F8M=WyC7 zN;}19=Lp(4l6H#IP6^s6Njs%zr!?)9p`D{>=V;nFhIWpno#SYyEbWw|o$|DEJnfu7 zJ15dk1==}@c21_9Q)s6m?VL(Gr_oL&+Buze&Y+z$Y3D53sZ2X()6O}xb1v;vp`G(+ z=X~0^fOamVor`FvD(zfMJD1Q-HQK38J2hyhChgRsol9w_Htp1*o#$w0Iqj^Vo#$!i z1=?9jJ1^4CD%yF8c2?8Q8roS)JL_m?J?(6uotJ56BkgRWoz1lK3hiv6ovpOR zJFnBuHrm-vJ8#g=o3!&5?d+hPw`pf5?Yu)f@6ygL+If$5cGJ%LwDSS&d`LSV(ay)T z^9k*IN;{v?&gZoA1?_xEJ73Yx*R=Bu?d+kQZ)xW{+WDS#exRMbwDTkF{6srH)6PEH z`Gt0VrJdhs=XcuaaxkAyjjp)UjdpIOo$j=A8}0O;~ zXDsd9M?2$aXFTmppq+`db3g4&qMZk5=Rw+;OgmF(=ONm8n0BVp&NSM2gm$LW&J5a_ zNjtM>=TX|3O*?aF=P}xuOFQ#uXFlybPCHM~&H~z5NIT{D_c)yLv~xV|oIpD#(oO~1 zIf-^orkzu0ry}i~N;{{~P9@qoop#Qkoil0YEZV6|J7?3*Ika;w?Np(i^JwRM+PQ#s zE~K4{Xs0UeTueKc&`velsZKjJXs0Ia)S{hBX{R>r)S;crXs0giTuwXnXy*#rxsrCS zqMiD*(|~rark#eg(};E&)6O-tb1m&$M?2Tk&JDEFgm#+J&W*Hl6YVsko#wRDf_7Tc zPAl4JO*?PW&RevzgLdAgot?Dv4(+^4JG*G-J=)n#JMYuZ2ek7c?R-Q#AJfh!wDT$L zd`3H;)6N&P^Cj(kMLS>9&NsBPhjzZDo$qMpd)oPdcJ|WFkF@g>?fgtT`)KDE+WD1s zexse=Y3C2x`IC13qMg5K=O5ZRpaB2Yx{(KW4y2vDv~v*c9;BVgv@?Zv9-^IxX=f_!OrxDgXlFX@%%Gi_v@?r# z9;Kbxv@?fx9;2PPv@?%(=F`sOwDSb*ETEl*wDTnGETWyKXlF6)ETNsJX=f?zETf%g zXy;kld5(6L)6NRod7gG&pq-Vp^CIo6qMes$XEp7tp`Ep~vyOJw)6NFkd6{-L(#|H@ zxws&oPmN1(ryA{4r=1$KQw6lnIo}!(_w6lbEo~E6pw6lzMo}ry*Y3DiG zSx!4EXy+UZ0)x6n>!+UY_&U1_Hq?c7Q`-D&4G+UY?%J!z*G?ewOdKD2W? z?ewLcezen{cJ82^0kkuacJ8E|yJ%++?F^=!A+$4;cJ8K~VYG7(?c7T{!)a#(?TnT=e%hHtI}gy#gS0c5cBary;lg}AHHzTQVYG8N z?G&Y*VzhGv?Hoxv#c8Jm?UbaQQnXW=cFNGsQM7Y3?Hofp$I{Mmv{ROL%F#}F+Bu$f zPN1C=X{Q41oJ2b()6OZhQ;~K~rJd7grxNX)PCIAN&Y84x7VT7~owI4@9NIaTcB;_M zd9-sr?OZ@R7t+o}v{RLKE~cGJXr~(ORHvO9v{RFIYSGT6v{RdQ>d?+*v{RRME~lM( zv~vaRTuD1u(N2BZd5Lyb)6N>&SxYY@wa4wDT(M zyhb~()6O>9*-kre(9WB*^A_#wpq;mAXD98vLp$%%&Mw+{k9Ky`&il0U0quN9J0H=` z$F%ba?R-i*pV7|ewDSe+d`UZB(azVj^9}9np`CAO=R4Z@o_2nqoxQa4BklY|J3rIT zKHB+(c7COu-)QG|+WCWa{-mA1XyT=e%hHtI}gy#gS0c5cBatIL$vcS?M$VeX|(eQ?M$bg z8MHH#c4pDeqqH-dcIME|W3)4ucIMH}eA;=OcAlV}1+=q}cAli2MYQu2?JTC9CA9N2 z?JT98Wwdk3VSGL{D&o$mv~wEmRHB{JY3B^uIg@tIqMgdLb2jaqLp$fvP8HfYk9N+d zoeOB^LfW~AcB<0O#k6w??Npa9;BVgv@?Zv9-^IxX=f_!OrxDgXlFX@%%Gi_ zv@?r#9;Kbxv@?fx9;2PPv@?%(=F`sOwDSb*ETEl*wDTnGETWyKXlF6)ETNsJX=f?z zETf%gXy;kld5(6L)6NRod7gG&pq-Vp^CIo6qMes$XEp7tp`Ep~vyOJw)6NFkd6{-L z(#|H@*-SgH(9Rax*-AUF(#~tN^E&Npqn+AC`Fv{B!JW%!r!MVWPCNBz=L*`nl6J15 zo%*!XfOf8?orbj2h;|y&&NZ}iE$v)KJJ-|B4YbpQcAC=8jkI$U?KGpE=Csp-c3RR- zE81yIJ8fvEE$y_Uo%XbIGwpPsosP8AiFR(GozAq=g?75qPB+@Qm3F$*&TX{QgLZn- zPA}T&O*?&P=XToZOFR8&r$6o7K|2FzXCUp|NjrDZ&LG+uOglqpXDIF5O*_MA=QrB< zop%19oj+;kFWUK=cK)HA1N7gnW#qw~18FBO?Hoiq`DiCU?Ho)y`fvAg3eZkL+9^ak zhtf`A+9^UihtbaAv{RIJiqXyyv~wiw6sMgMv{RCHO3_Yf+9^XjN72sFv~vvY97{XL z(N0;~DMvfyY3F#_Ie~Ugq@4=1a}w>GOgpF0PDR=|m3B^}ol3NGI_;c6J7?0)S+rA` zcFv}qb7<#W+NnZ2=h4pjv~vONTu3_$XlEhqJV`r?Xy+-~Sxh@iXy<9#SxP(0Xy+N) zd6ssbqn+invx0V>r=1sQXC>{tNIR=&=Ox-%O*?C7XD#ilqn-7%vw?PArk#znvx#;# z)6OfjvxRoH($1^2^BV2EPCMIZXFKh@K|62K&RevzgLdAgot?Dv4(+^4JG*G-J=)n# zJMYuZ2ek7c?R-Q#AJfh!wDT$Ld`3H;)6N&P^Cj(kMLS>9&NsBPhjzZDomNNi`P68Q zJ8fvEE$y_Uo%XbIGwpPsosP8AiFR(GozAq=g?75qPB+@Qm3F$*&TX{QgLZn-PA}T& zO*?&P=XToZOFR8&r$6o7K|2FzXCUp|NjrDZ&LG+uOglqpXDIF5O*_MA=N{U*mv)BJ z&IsBWNjsxxXEg1Mp`Ed`b06)Dqn+`zGl6y{($4*~Gl_N{pq&S4XENRJFnBuHrm-vJ8#g=o3!&5?d+hPw`pf5?Yu)f@6ygL+If$5cGJ%LwDSS& zd`LSV(ay)T^9k*IN;{v?&gZoA1?_xEJ73Yx*R=Bu?d+kQZ)xW{+WDS#exRMbwDTkF z{6srH)6PEH`Gt0VrJdhs=XcuqgLeL;oxf=3Z`%2Xb`B`czyD_B!JPwXCokr=140b2aTWq@6~z)0lRyp`B}K=Q`TCo_21aohG!?ly+{UottQ< z8SONuoffpyl6G3rPHWm}LpyD0rycFIr=6Q=rvvSDq@7N*a|`WsrkyUd)0K9*(ax>3 z)17v1qn%G_=QG;*oOZsToiAzUE86**cD|vVJ+$*J?R-Z&-_y3=&Z$ive)kaqIY&Ox-3k9P9Y z&cU>E2<;T0or1Jeh;|O8ox-$Jgmw<2ox^FTDD4!Zog--HNZKh*J0)nRB<+-Z zhIWpkoug^z7}`0Oc8;T+vb0lp^?aZN_$7p9R?aZT{`Ly#m?L0v{3utE{?L0|4i)iO5+F49H zOK9h5+F43F%V_5r+Ig0Co}-=Rw6lVCo~NA`XlEtuyhuB%Xy+x`Sxq}@XlE_$tfQUv zw6lSBUZ$Omw6lqJHq*{4w6leFw$je4wDTJ6yiPmYXlFa^yg@r}(#~77vx9ctrk$O% z^A7D?Rf^B2Mt$6AKs#5{PD9#hL_3XX=Nj6%mUgbAo$G1m2HI&tJ56clM%uZFcAC*n zbJ}S^J1uFa745X9oi?=7mUi0FPJ7z9nRYtRPDk45L_4?8PG{QbLOWe)ryK3uN;}~3LOTU$ zry%VVqMbu&r!eglp`F8M=WyC7N;}19=Lp(4l6H#IP6^s6Njs%zr!?)9p`D{>=V;nF zhIWpno#SYyEbWw|o$|DEJnfu7J15dk1==}@c21_9Q)s6m?VL(Gr_oL&+Buze&Y+z$ zY3D53sZ2X()6O}xb1v;vp`G(+=X~0^fOamVor`FvD(zfMJD1Q-HQK38J2hyhChaVx zon^H14DCEiJI~S1a@tuzJI~Y33$(M6c3z~NRkZUG?X0GqHMFyqcGl6(dfM4QJ1^7D zM%vj#JDX|e724TCJ6mbzRoZ!tc3!8QZM3tUcHW?!H)-cB+Sx%nZ`00B+Ifd|-ld&g zwDTVA?53UfY3Bpl`H*%#qMeUv=M&obly*L&ozH3K3)=aTcD|yWuW9ES+Sx-p-_p)^ awDUdf{6IT}YLXG%@tayaI#VQ}wkwrnwrIb!~|Hew(zwUK%PhW3$c3?|a<~1J(#*TG=EEw$< z7g_YQ$$?v^I2L@gWS0GUhl~9R9kyODhCiZ}?a$cvs_x5IfAqIwv2iX~6pO|7+q-D- zI9KCS;|l}dAc`uh62vc2hn%;sQhv>o4G@q9(|?HH|ux&q3lyXE4bG^%Wr+qA5) zqa&z{-f)fSKD_27%UjwymbAAeJDM7owFKo=E?yjr@GG=6E^o=_kF@;4$C59)ILaIo z)i5fW8a8LI$aa0WZqcglRo?9CTO5pvcF670qHIsk>U7VR%*QsSYkKws_2s;MeGpu| zrgDP+sHPqFQLXg}0s5bOR1?e?gI3mO@=>`RJn@fe+Q)xXCr5?3kG3a0kUxN;KX16V z@5nK)L;<(KiBCV1Y;S5^THX>ZSor>o>|{?)gRiT#2`p*$~g(*n{rNq;f&WI)0Ao4 zbhyjjH%*zwO@}+}ebba_+;n)Oy>FT_jhhaq?S0dfY20);W$&A&Oyj1xq<=qQn!DVV zO>-M;*)+G_mQ8c(Y}quo)|O3km)WvuZjCLQ<}S5m)7)xXHqEWFWz*bBTQ<#g*s^JE zg)N)rF0p0P+{LzRy1m^mZ*MbQZo15Lsp&&Z88l_8%+~lgN3FG zOy`?6n9ehuV_I)oXFAjLT+&ULX@lu}(*>pry>3sKHkyW}O{UGJEvAc17n`=4E-}5xbgAhw)8(dZrtMx6 z7kkZ_CN8mM)5Ho}HcfQcvT0(aEt@7**|KS3wJn<_F12OT#2Q;ROf}$aL5=p0W2$hfIe}=l`K-==svLYZ`TwzoSTaZa|ctGwD{@=3mojeT2syFB{ni@VE442Yh|bijrIzUFmB#$2VttJ2UZFwRN>KYU^gy&0SeH z>r1t@(SPN2p2<)4JKmY@$@F%m`}1vAX(e3Q-`A75av(GK0*0P}x8sOuQqjXakdiXJ!8 z?MT#B&(+^my?nig-czDs>~Y7BVJ}?X<&WH;C#&+qmtC9D55VRld`=_si z{#6U81=Iqcmljyu)V?g=OSw)qdeLJsXu>IFz72>o=;GH3g4`+mB~=Tk1=Ip+0kwcy zKrNsaPz$I9)B!i4kzPJ39NPQf z!dabT!rzQNQeF4p*l_KA>CDl&72)0kZ@iP;R~i28!uOsUJMFZv=cg|}x%um-hYd|P zkBa~OjId(&14Z{PpAa6cK6vM@p^4$>zpQGw=g6e6< z`xl+TuA72%|lxpfbbxT$F_({8t-u~;VaN~?w zlYTs@I{aq)p2cf2)!`F+N^aY_yE<&1e$&v%SE|G7CVqF%dlPHIJI+7UwdkUnur|5l z@ZtWNu=@u$e&f+QYQh_S{?OtVe^e80{oQvMmy53v~!`|?Q`IB;dA11<8$P5<#Xn9 z#|QWVpWqvOgs<=!zQc$35})E*e2fw&kM$^ra@h{sr5@CadQxxpgZ*MZ*>Bo`cA=eU zH~HBgNAk1pSMeo2#kcqvB~Bje$7{Sa?>jut=r-&Obo-{2#Bh0pLEKE#*! z6yM@wlsI{;M>&+scGxcUpkCBde%9|n_q(5djD8JY;1hgf!*}=)U*c1Ii;q#_ zttX9F~5IevE#Neh#1D8+?SX@EN|thxiho;#+)-5+{%KD2H;{4%?+3 z)QfsjZ}x-zVm~!r=Y6m7XMf%TAK@!}hVSqpzQm{a79XR;$zwgrpq{@D3|T9UFt!-s3-MiKiDt! zll|8D6n`A({GdP2jIZz+zQc$35})E*e2fw&kM$^ra@h{sm7jIK+g+zXzeGPpzePVr zzeYbtzehiakMI>f!*}=)U*c1Ii;q#_q{@D3|TX&$=GTT{lKQM88BoMZZNqM!!ZsN54lu zNWX}$@EN|thxiho;#+)-5+{%KD2H;{4%?+3)QfsjZ}x-zVn5k$+JSb_^+^6W(e-uy zI!=6t5Ah{F#kcqvB~BjeQ4ZzG&$?dJUB^qmLq9~nL_bBpML$NrMn6ZtM?XlvNI!|s z@EtzHm-rOl;$xIJd8|h{l*@M5F7=>Z)RTI%AM6+V$$rxgvqY%>qwAmjb@%uX zU*c1Ii;q#_Q+$h$QR3vW9_3Ij+hM!ZgL+X< z>dk(re^&pj{#o;HX#82@&zeuBsxWVk=9AI35#uXT6VBCRm2*xECr(oOyu7ER8;^eU&cVrH^}J*M+-~uPp5N`Bd#>kq>v{Bg9=+y& z*8FvP{@~HM6(QpWj3Y3vz&Hcr4va%EF2Ohj;}(o#z!@lU@>q{@D3|T9UFt!-sHf)N z(DPySeAtPFd9pRXsOEpJC>;^fkJ7Kw&(iPG57RHB#K~hl%As8K&zhfK^Yd30o=Yx% z7C(!h&k76kn(SO!q3i2(eH|PDSHKx4aq`3)CAV$eT^%-0ziDXXE7c+M$no4Mo)gG< zJ+5QszU}(g^m|ah2lac9{Gjgd*8SbOzgxVa`@1#%tnp{Yl^JJd+!-ZKp2nXw{_OgV!g;Lp zfxUX3rk^m>Ld_s(kp>rPB)Iu#C$x zPRqD0<~ZTF;W*;B;yB~D<2dBF zw@rIu_fcv1hFN*u57)NGYnQ>;uol)ZC zu^#16F5A)lusaTGz5>lxp!=y1q`=*XjB?I0CMKGf?8>i8pk8ovyDN zQo;^hMdwr8bH?6!VBa=3FZZ^=4XIV#y1q`=Bl+hNil6r^*7Zob z9!b|D>3SqxkEH97H2$pdXN^B={24B0oSAWFlsI`Bf7bZ3#-BC*%z13iYjd6(B~G4r zL%bp05O2T{a0Q%!5+_f*A>I&gh&SK}xB|{ViIXSZ5O0V##2at~TmfgG#K{wHh&RL= z;tetVhoILS{ctgA)-hd|71)PBrCr`W~-VkqyH{b}k0?t5* zlPBH~Z-_U<8*l_%0cW7Z$rEpgH^dv_4LAa>fHP3yI&g zz!7i-oPiQ2PrM=C5O0V#;0U+^&OnKiC*BZmh&RL=a0FZdXQ0H%6K{wexbI0CMK zGf?8>i8sU>;tlZz906Cr87Oh`#2exb@rHNM!^;0ibcB~G4rL%bp05O2T{a0Q%! z5+_f*A>I&gh&SK}xB|{ViIXSZ5O0V##2at~TmfgG#K{wHh&RL=;tetVhoILS{ctgA) z-hd|71)PBrCr`W~-VkqyH{b}k0?t5*lPBH~Z-_U<8*l_% z0cW7Z$rEpgH^dv_4LAa>fHP3yI&gz!7i-oPiQ2PrM=C z5O0V#;0U+^&OnKiC*BZmh&RL=a0FZdXQ0H%6K{wexbI0CMKGf?8>i8sU>;tlZz z906Cr87Oh`#2exb@rHNM!^;0ibcB~G4rBJuu~ zAM54qefi$keLvUx{GaFl;V8e^IeYfZ?Dx#<&Y78=xuqzlfP+baiHMF4Ky-9MVdiKD%ZMK~3z#(|0PW;b7cX}Uc%nEb*IZQ9p#}2{OVGm;b`vmyAE#gQ(SRcb zARrKfd_)8U1TZO(pb&`|#D;)Y5|#i+QUE^|z<-1U04TWN86?&}Z1Ob-j$ri(g1yIA z000TqF;+-a0A#gaLu_eK6bT>(uwj3IiMo}ig{3vWtc#1grJXbEjy(W;SUMo$06=@3 zQCQl?1chJ(n+PoLvCo5vA^|9HgQ-ia$sgws z6Lv8u36>l?PcKWW^MS^Ou!BOlqOU;!P*8P^;hzf!#z{(0_@5Mxk0;#{~ue8hYBE|FhLlP82~QWHp)}^@$7}AcGklK*5ApX}F0xPO9^*lRH*8 z(F0kG@c*U7z&rc*Eq0PqFr!SfK^A|2Dog^;{0(>jU^Bo$#fDcyi=Q4eKR?<%?O=~^ z813t_domm{{-Mv00Inzn(ntH}MglVg-ioD_tEVk2%(Yy9t)QbL50sz0dk`i7fEg^F z&ssiwr==ADMg%4s!E~_Y;kEhXrC_2itLg3ndt-Ro!5)TS9?!x4K-Jz>?jCk7&f>i6 z&c{zpaeht_PF{9fOKSmf9!?&9PCfv90Rj2s;4c6ezytWjuwyUpk=|pLsddM3IAZ}1 zP0iq8htWxR`6SeVhrwzmp)5QE_)fw#N#K|Sq>h7Nxsy;G9!lw+gjY^NV|bWj1`la1 zPxyKr07z0=@Gw{r9s=Sg;klELQ3^OFNq88n1P?p3;NkJP9I1w^7c!Xom9jJsljVRU zR(an^k3C0A)2uw=&88%kuf zeOnvk@QPdzr=$s-5?2#Yi>)uNTc2+tYDZ~xA!DHa*m@8lqV7HR$$@P}jJ=7FYNT1p zz9!H5o#E>>q%Szuj*0IB+|ypqe;dJMIC}fdeI)4PaIc*30G_bNux-fF@>}fAfFhsO z#F|<|wmJQ6@4n(pgX)+;5l!zxck&NOPng8MCDCsd<}a~vSqch`=q22}G{%!ARNCIy zRA|-3PL1QI6&T2aqK2VmJa%++9ymik*&XA5376i?YB`ulKfn6FE3PxWEZVP4Fp$vIP2MJ^OUNEd7Fu z2ZLeq{qU^p5xfN9{CTCVfe`S-DB?blb#cDi3Xi@4;|H-uz%D5hSPU>d&4GfwA* zwT84QI-nPucTaEszGH>KA!kQ2R!-?V|M$hT3t#;(RRXzrm4g*LpR!g@KTV!BY|LRg zT!|FG(XK}o%9F@z*%hx#8;@Nr%D5LAS@i+ylaQm(9`1Vlhr+Uh> z_vzyt!j9^Z-Odl+WO6MFM!kwrU3m2Lj*^QUe)KErj2eFWr)$D_XKN=4DGLqNiw5%= z7!q>{Bx8?C(tJ4B>D52>=D)ikFvwM2&YoAHxs~FtG@QQGH(EuJCY9w?Kh_*{&Syg6 zTxBBO1g)U=)1x*w6Ty}g#S3&_4iz=aT{aqSwB+7X+u_DLe}t4)PT)C%zos@Uh$026 z=FyevNYeO`Ol%sux&4&Gf>m z^O9aZHg9oJB7V6t*#mAT)|`>z8#{^N&m8Tv-U_SsA)X7>e$eCQNDv7;T@&{xGZXYu zw=B2BOr3f6@LmZrmU_wS{KBQOQ3U5chOldt>ZS;l&)!>WKlCM*wQTKsnwX}aBi~6` z9m{TLjih3X!uwd^-0gRXWK2~IS9=wyD#bz!J`9N>#~TI~Pl^eF^pl zocQJDE?&--@Mas-YzMD2F^6%nDM5`tJVG;HJGdYSCYX{gwg{M;Kk0xtdm>?J=I24{ zVdrdNMa#?0!_C3X!@(n{%fly?G#z|Ax%+U($UN~+;g6&8!4Oe#;M_3Eh z&cejT-O9$r-OkKeM!s?aDi-)aZa0`60MLd9|6Z{GQ^1z`eX;mwN950)(+-%Ag6W^} zhhxeQW(g4q0RaU(fDz=FLcJHi<3ldcZ+kV^PD%|-=hq-CQn0`w!m0!U>>qdr4B zqZ>+9Nkb_=gfnTA*ovU(&G+ z;g6NSo+r@8AVJ~JX@c(T&v7wWJmYh;=O5B5q~NuG#F0RepW6P_(Mtaq(lB1oC&~Qmw!-m z-%+4~qLR#yZhP=lcpO~do*7)xuN}!(^+J1(B~ZU|3;)l4w4Ddb?4LZ^paz06mxB%0 z@z?^a5dZf1239Jt=AnR(J$n7Nu+fWrg-dHDxhFn{ssR^vzJ{{H~$ z1|KDx`f1&0xW#|^y(p`pdTf61p$Q}C8410!p*P=gixGAn;`^Kkg3m{gApX^pLJ74V zAU>oA?3)J(;zN3{;OrlKNDnyl0um$->A{7wfAAqaP;2E^`I8pGKgq-1AjbsBL+PH> zu^;kKx+fifKlo6(C$Ezqd`J)2t^^6v59tBhz92z-NDu8X_YXd#hwg+A;p)W2tjy)q zRn2n3hn28ng7iV@F#f`a(qa0A52eF=!iVg7oCu7^{);@MpW_!kq@VK_KBOP^>NzGT zpO8GPVf_z$NS^nE|GWD>ez3!2e$@x7tj7fLA$>x>@S*gDf8j&&;JX+kNDm}`^1}VW zhvbh(F#bdyYAZr|AbBZJIgB7aq+c4&{=tXjWq;vA@~~#&F+qADd4*s2ko?78_>jEf z3IA97EB_)7=~4NG59!hPg%6b%&0qMC9<5*ake*Aw@F6{VzwjYF`oHiYJqEw`(OA_x(>haAw950@-ad8 z1?h4Ag%8QQ{KALiPuRc=Q~@EzX?TjjDFUYmoFZ_Fz$pT!2%IADzY+mmZFzaH|NYm_ zpMaD8fPZyUnvi32A_(~nP;>EDfBawRJ3W7jz$pT!2%I8tiohuXrwE)PaEibw0{?Rn zI3BC~TW4f|o&z|D2+hy{M+|?CgCm93n3j(fv=udv2e}cCCw#!TAVGdi>dAm5^liY8 zffQ&U^CYA_zUp89z{H`c8ppW-09sfG%>+UKjEYkJ!DF(_DZ+-&K43ybI1lPagiS^H z)jRq%{`(mwCtryD^|@5XbCi$}k&Nx&HwPvKLJJNEK=Y_jf4~L728G}k6X0O*zwr?n z1kcYQXt%#_Y6muK&=MTx|I>LZ;C+EfYr0!`cz_=Q!bVvCbfzC@cu>&N+{_)D0Y0bY zuS`3FjTC`n_*NcS(N&a#0R=-Ctf-dE`60(504?kvoD!Tw)sLl6K`HPHEtpgo{M;W> zPj;1!6gH|gmK}PVFTks11|q_L zc~a0nPqsYy>Wd95WB}0d%XCMO`zO;KFMA$K!%+KUx+5qGRny;3cf?i#ul%>FDH3=E zjGz!i6OJ2vV(ITD8~*dX{%&IFUz=zM1OK-ZaY$f!0`sNm;t87?Y-i?3tNYUzzB2z} z9vV2c0=)W=FYJhhA{t)Rdp&#IU%O?ANj5S1YXi z|IQ-+JmL1wEdo;qn|S*#tzrY4BLzMW{~{)Hw4UG`8Q;m;%YMR_9KHw2OiVm}n&g-4 zcb1ph4qqfmnVgkjo8>MGj#!sIMV$7n*^f6yrIq6yb>fwiM(Jd2U72MgtonB=TE}0A zWY-MuK3Uys9k*&9Zri=O8c=EDJ8grI$~U1iCtp)I{`h+`7GIl+B#V^;W=_Vtb;UYU z%5o9m&O^V&R{|_5e5NlcP#z?{Va3#3Pug=Wwv*%~?JU%p&%G}_ED+X1Tr!Y#-TzMV zQ|)>hqc_@um@lfHD*2?+PQKAu@J1ZGdY`48H$GqUUW#ty&R06QU|(+?<-^nyxbXJSadlyR&Yh7&*XyvX*|edT(%yK(3c>ctTMdeO zH8e#k;CnA_TlLJ<1M`uFOKfjC%WZFk-_mr`{?-sDb)K2H;WEA|rQp{mfzlqPPX^dU z5|TH86wuI4&^*kQ)ezyA27X6&{!X0HZrST#<2HMl*;_{xW@44id%{4n4sg7aM?jtm7;hIjDreIpZbBH|2^m-zjZ z=&ru(k9$ohXy>xXJ3U4GEH>$;&U|F*TSZ9XennPIj868j>V2N+^Y*!_EGh3w{!2JQ zXc}n;JTF_W4sEr0RvCO(NXI>!EfjLJr|j*C6JEOY8abWPKUZv~OE%b;Eo-uf=94tX z*;{^3o2M#Yl4O@7rA~d1zpOv%VA0Jpg@0Wo!QjZ1*dbj1TK{XVeRj4>ch}bikeIoc zhaOZ3I==s`KH#Lq{oOiQ;`3ZGb0$Cfg-DIi8Otm-Ahub!5~H5?TKaY0nuZGI^6dnr z-R0_1x6EelM{+J|I&wxnsRruehVQHW<&!NbeFRp-1A_|0RnIr~a2NTmyFb5?RB<^* zkLpEcDYyL7$D`S^OU;iwNQi9vS6@zOvM);$DS7IkJBU{5+Z(U$+_P~MvqkpmenzRs z{3da+wQ#!RT=5Rs%mP7w>o=*^Y2wzc2BVN0j92q?h$wI-{ZOO7&S($fzR<$bh@F2c z<>98nsT6}u##)A8BWycuNIBFMIfgo3n%Ps->)3*r3fM@^*L>Y4XKns&EYg{b8}34& z6j}Y@K#~MO-ivFiZwn_c`a`(0BHa^ypcP5ZD&mgF%odYQnwHy0lTky8-UXEGVd7gB zc9PvQ%Qh+KgPP>Q;q0}mgk1VL$lh#0R-s_otDExV#|LC=R45(`CzPVbRu>Yv$6s6RsS z$^D2{uc4@MEiL7%STIs9k7dDvlV}r>kZ$pL5#?vx5j+9|qId!6B#{AA!Cz7i2@vgY zvN2a1uxj-V5+rP5%E~2Q;0ml6J6Hrme zvuvu}UT+?9{`hq}x#CF?nanOyx2VlbqZRVLHz&c4387Ri?Yz%w{~PH?ht7VNUo@>Q zS(k@=5t+Lh&k(7RDWmeSM8MhNUK#&zGkUL<)hb3|K!x?~L|+N#g*F8#CCO#B?}j(_ z8|YNtriJVa>gSF{a1Pz$+e;yw9}hGI*3rmZCLRzhO;0Q}vs$<2y&-DaDkVu`V$L+2 z)-)Tu`@HCBI9cvglQB!q`J%#s5mZhKEr9w5uCCOki??NBBgquZo+4m${nx%wYhxx?Ul5V8pBsy z+vVf0B{wF#ayZMB+4U)6ip0^_uP&XJdX%lbQXBgTn8XWde9>*h@Z7WD+hlSgVa&8E zjvL`x_zV3H8AoUJs9tU`rQXg~#f;(}BGyW{F4?htIXIfOzd70}Y4zKdHRV#sl&Zk2 zs$0UVo04zeV1Caq9BTIUtMI|Wm?wML;8TirqlLxQp?L(L_wqcUG&Pgw&e z!<;SWBx{|5M76s}GV~*LMp}!@wpCOe-l6wQ?R5=%yQ3(JEzUPmc3@b$qFw%EHiRAN z+H-D=E!u-Nj&>xD(n^gxd3R_fy^V`GRi=&X!ir4UE_S1nZ+4V>bp25-Ud(n z5c$!h1`7pBhcB#6O?^C)8~Y;N$?@n$&%BsUafE$#*3*tLv4cKjqED|TP`K7>uCo?p z+-iBZWHDJlg>|J$L0~qDr(4{Eq-{@hX-Ir!seRn|ML5D&oA&nU;iJkk-J&H0z_#c5 zd~O)pYX9YMk&Z%sC)-Q*Qp+8~XjpjEtv9n46ot#4yBO_~%Q0rm60v5p8{TBwpW`WG zzy2ZMbq!9>kR%apDk}2u@)NPh)=;CMNxXmyUNa;&zJ8bBHGSWmYI@i8nZUY#+gJwe z1)7!Jo$K%Qyl=&wZ8bq8(lP8tl1x)5Z|*};n$29hD9ymy@wn;!rYDK0R?rO2-4r`E zZ<##r>D!i{9hH-j12KuEudll$b_z(xJ+66v&-7ZuaDgYLkmDh3pH`N_CeVTu23RF) zoz1#6mqXU2*#1O}F^<%hH#un*$@t-zLd3)(+q^R6r_6?q3LTUSe56%U{=%3}VM~?T zGHVLo7PTk%AAVdXKf^n_OmM)O+>UF)fH61jf+>`hRV=UMvBeZxJR9>W=1W6orb5Df z@Ax6^yoIvOxatZ2#b*AcmyV3PhYyCr-<61Uj7@jXb$u~xtlJ&QX*%bcPrCBvNvFZy zjFzWb_G^Fd7KiMa$dpXPg`_KKS(k`jxRRS|I-sMReJT|FWp-b4UF|?F%k7!A(Jr^> z#OPL|`1n}R1FP8l+E#kUR^v~&7kPtSc$&++>Rv@o4>dI!HSlTa)N^{2tf;h1p2e>p z4DKP-8O2bvmUbSI@T_}9j7aHq#q`|@-H_;$5plb~Pis4NbQ%%mS~s)O8&IgOPAl%M z`HLJqH|D>$VXwg*zxV<-=6({kVg!-lb~`Vozh_0)4K(-CMH2rFf z-{19{kQX(JC1X$#MBMqZqF0`_Y8=4o;ezew&m$vI-*m1C)i%D;%(T3WtfP)Z_rRn` zGafSwk&DCV4RM^^S@el)LVrK(>0JRXnVL4Q%CaDd8zrx-2~1%0tB0AbmYrB^Q%vY`;*j#sq1fE+G0tR_a2D>d@bNp=z6>E_@^DMKY@ zOERTPGp)wK>!?#iboMiSnX&u}4`ORqHPb_GUPQ0m!(NkTyFP_bYksNA(qe9s)+cOa zFiVH7Z}rIb;bpd#=Ol4P8K#@T8>&f-YEA|(s+cOAUWx4v$_r^+WxbOr7R1*hz_j?@ zVnKf$B@ly2Ja|I9^ksXH)RQk+nlo(raY__97ay$dzU1_})uUmyR6T4Ho`>`zq{P)k zYTYMP$-ZzJNiro{fc-p0b)alnO=~9E7VYikcbn7%yGLg?=Jf9isFR=7#GooQ1+Xj; z)r}U!6ZfvQ?&XC~ChF4^DOSb{Pwq%l$?Un$Bz5X-&0Hnhu-~TO0)!_*+|DR2bha;q zNA!l%@2UG@)hAG^Ca=EjGSSAanyrcZ}ZC zaYWNY(v`V=h2R;p0dD0=-~>+0chMo<5bC?nWJakbBJmu?#^84n>v zmeu5ZsIWkET|C@TIdiCY-WO-|S?mD;HvOT?N+F{vu9b6#Kc%PVgu^!Vc7<+|=XKXZXaf%&3%hhJyknD>^# zU2T3PZ<9J%8|H=)Zux|wq5c_q9LJ$lDvB(M!1Vz8EtNOKNM9?;3M<$vA274AaGpEI z%0gFJW)35J$KbSda*O%GLWMKd)>c+_*5-H2=I18}pE0PEC9^-Q;;xrMLO`#*Y;IB|ZJ)zC^JVSYY+vuF1nr^r*^4|B>~ zw!k(uRFKwFc8|XqSB1|dxf+V%j(L0U>+{a7ZBHKA0C91-i2T$=d$ZJdQtL7sOUuwS z$}c4jw&|%0^!R+dkMF3ejfk^0$Q)b=N9;1Uoln-M>wCiEXlaZ8rBh<_X3W&%!$9oV znCMuIkL{lq7cCK66WnLwA-@!)t}a(viSLJ?tC%A6Z= z^CJn*B`Yfi6xA!n($ZQ=YFb+49Jz&|ZO=+sp7oj9Uu%lOV9e|dMU-iv%U4a%;VEmO z>fU>}Yp8qY)z{}jYff8~dfythk%(+R&3^h&=xVk(F){xTL5z~@Zftfe8P1)1_d+o+ zFxM^h2j9Alj-|zotXaG-({=6~`dzt-+57J9I=(!rs>(5@v$M0NHcxOQ zv=TCqx{dknOiNY~-xO#Ie7WC7URqjuU8*V2oscrS12qzL549Z|PgOO>;=|VtVUdZd zRU%(oZqyq(uBJrT4jFDtl7c}JS#K8JoDmciy}c0;m6&+h$MFtA4)-uq-$ffM>;zP& zp_~uh>FY{1h=S}e52Pk{MDd0KZBXMKh3{X)1(Auqm2R`kt-V+fE*1#OlF-i;$Xz)q zjN386v^&aKLzAho_FWjpvip)GJ0{6ZifQLT{Nk`)W>S(l z|G+mQNKX+tM*X`9rcKyB+2B}E9l2#s;$@;u_O6!a5q*b9Uu$GG&Q6--sU{=Y?W6f2 zKG^=<ky60pH11eZLEL?I_#QNJ(DTv%lVz6^_b#x|f?@T+I9^{yDLl?Fa$Ad$rnQMRa=k z*SC}8nlY8G%GFu)jS0r<=uU68eG)G+SKkZ>x;}m25jcEcy!xT7V)x3*r$B&l@^Og6 z6G?;cN%57Ex3Ng|Hp9$s#&b4R;yNC0wcvfi^V)ZO@13)r_SA^EcoNx&qkSBSpPP4C za-bC}&KUQiu2Lhe=ukD;?4Ci`JeiR+U0tS~IVy(gE`K^ABaI3&I%C01iNP0516Pe@ zAHmsfO=>^Hur<_`CdzMpW}4gQL%4a5Bx*RLYCX;iH6Ww$hG#mJ8q~KM^SFNS`y^g2 zPoc%9bnf+f;o;1sQf%Yb4n4q@6UAoAO+O*c(mtb=&*V-!qePaFWo|;rv;DL;mc!c!gkr-=E$6d zFTszUKR6kry!U0?a|w9LC%Gc&g{s3ncYD(2lfz?WX1Uzn0?b=-2gBQL+(zb(l$~2; zCT^1kqntJ??&kC)K^1MB3rlEPraFzK7}G4-N7l*DcICz~eNnS7Fgk@JWiRSXg+K!(ES3);$=A+L?b+HG0rK~idtZ2r zKAXCrbu)xBhgf-OwVXV{DDu!N$+RC`Wqd)l+-AZJ_nT}mg@n!o_Va7^CDWgrIlJ0d zUY){+v#XM&j%{!6qM}SFoBCql0Y5e_&(PX6)+F0|o)gGP%XLW8vUHCgWxtL`QJ|%s z!4ncD^?K5T?tDZNG|0Zuy1+{)7|~Yc^lC0=ZeO;Fi8+w9lmCn7xG(AaKwA&pG*(9g zMh?pO1EmW#B43xv$dZ}y%G0VdaXf8}W9pt70MCZ96SzN?MjNLRe^(iPQL?Y;OICu` z8!JEJ_|@57R3|?~lrNHY%qd(Fi_m6=MuM=~I7psWMhH76{J9su5Yk-bWd!xQMxuZl za=qh*$dT8DI@G3$AI`MmW^dT|ymZK^{S8)C0yS_zM9L<_*rTf*Geo>g#YJpOGFo;g6OzSy98M~>aoF+ zXZ3H;&jb(1I6Tpm!lD7J7L$~URnGr?1 zHcZ?e2cN9rbc(8yxB1TsgN$iE>smW9mbxV#d8Kx)g&)e*H~?a#b=|gFsFQjMGkWq_ zo5=eEqZ(T+cViy;-I2MR)OF5nb76d(t7{^!l{JIi`;py!dIkK9Ub=Clr|+6EN2N?h ztmEc*B0?D{f)2G3Qrw(J>;%^yiWK`ljQ{RX{%MB?Z||-Cvy8>EoPwvXdV@m%nv7>< z=~!$2Zm};=U)lh@tfsFVe21v6_k?#RMp=>!qE+qtqvmHlRHw*qk{SpdqCqcA-ID4U zCNrVIZA6?bCIPHn2l|pfv5%{aJ<>}F(-|f46LiI%Bx@%!#wkr)G;Y@#xZ**pU(4ZY z`aGBLt4lSkXDc4Z<={}Nw<6@=H`(`y>`n1uM zL^-rHKuf(XSLY`3`FORn_^PWzlz7HHm}vH${(|n+voRlMgInY96t?>x`mPIY3HhhB z8414iR}zs;Yo|mrzEM$HYV`U#XKyOq4x?kcay>12)J zjHbLh)Uj9pflIUTkwc@*8oj6Q^4XA=gsj<4@BM@u4evh^74SzAj8M}w@fdvAsYGL_ z;#h*t*e0#Ra~;2M(e3Goh!}g=-CF{MF1|zVN*M!Bn$qHG+;N+6Lu=8H#XL2br39m? z-t!lf%_wk&i*hD3g&=Hy;>cn7Mm)KB&Y=LU`QhZ10sQnJ{@Qt@Rqe3x>~~aCS8fRk zC*=`VyY1gdxzImxNlB7Wm9(&H>uu`Gk>XyKR__&k^W$qvqb-lH@0ueeInS1Fp|&Ps_6sT z1LP(70=f)&tFO}9_D%tk+LtfL^iVI~TaIL7$9^C8Jy40Ih2-6v3&4;{pnrU2>XUb# z3@Z|sMD3W)$2>w4yLs)V&})>tH~hX`ZT9Wjc#`LE>a4Ll)_W>dflcW%Af!^yBW>(#yd{c#jWWnx%2iGa9rO8J*dSBR6a zFY*e>-Y`Wh*>#-Xi$ryjvQb`8(|nhxM}TKAq-`G5R`W^$`&ncy+03lf*xg}{PS@#} zwj`aW6Hm^!$SwEstaxEi#~WiAckrejju?D7AIp=$kvF!~psrC}+7pKp*K{qaU+@if zWnKDX*J`sf(}B(nUpFtM>?UvrcHrdMSsDc|+YoA_G>_2TJA*cfqjv{~TkZSfOI39i zxcfI4F3>6J2Q0L$9sn5+%0DKdA$%y&s56b(wZQ$Rmo#-17z=4C6&}8_GUcxQUf(M2 zE*E3T_L^lH>tR?3{$}KR^2kATi`Iwg2yb zuJbLSo;EV-#O}*0+`I*AC?yfT|yxx(^t3fdj z1x!LLgA8;di<4|Dlklh!7%nYkRg=;#J`%sujm5#fVScV+e2?a;>yw~h*>~Tqx;OL` z?`xB#jyzBx#!TyP^N#N$zRh!2Spk=q-qNz<7Dg}eou>+>%Jh^ust%2=As9GsNAKL} z?CLkW)f$#rTV5W9)O$maCOk*DnX{&rCpYaXqLPYim?^J-k!_3-fASZ5LX43Y1AfJ& zZ%Mh)($gbQ1K%3(T**yOPmZapqp(h2dX^ni7ZbyYap1Wf_c`yPkx@ch8&4CdeMm?J z>0+Uaqow16SYLjDkTQ+?X`wu?E@$T#6%^b;p&Ky`xpnIy!Cln!lKzavC}jcO!rbJt zAr5^lma1S?gn;LIn(3uO7TEIgy*)khFp}#0`p(rPp08E(n8z92^{LTc2NABbx4b`grl=mY0{;me;nH*HB&|i{MUEU6AG) z5lFj5UNYpEh`%!P$~H@ZQIF zV(q%&%_6uC2_%75iNP*+K+$~`qo0?z%1K63l6oVWSifRr#a!}>Q~vmW^M!cX+; zK-4d%f08^sJVoFXfl~xd5jaKQ6oFF&P7(Ouh``UEeg5-@cHmc8;CHWo@hesEv%0_M zD^+mu*q^^l0~d{bR+^FsEq;3f^?u84+V5Jv%V>Yi9;r9~QSR3kFfawAuvjW2hetge|_B~ zO7KG19(3Uea1Ed%0)7tyIv`*-{J&n51)dRTi)d&=3OKj)WPgx6n5JU_7s>gV9QfKw zWpq^)02H;9?}z|7Y?&4^08a&UCQAckeZ`Xjzzti-03QBkc|h`5U~WV7 zB5VUekXtbG<}xgO0H6Y#A}b7lrQ=Ly7;72>rZ6rgz!HXK0<^-o&Rcho+O#@S}jj%M>=0 zF1$EG+cTZO`{TPSa2s~A4jd#{y~a5=8*1f?E{w@K3A?ZP;{DfWbv^jtOqO zlUfcdD#rx_+_~$R;I=>^&L5}_U^`GO{+LwuRzsy3a2_1c#~uLF+&?5&79)G5PfK2)vR zf4QJ&-JK^HnQIetL!e{X{D^uzgFTp4w2WkE#@;`GdOE#_WbS55=Gsk$w$&xy&pS$# zHX+XVKJ;^2`48$>H8OD8gp4?JL{Z9UUJG;e}Ay~+;j%rT{;v3y^zuJ8j<46L>BI$L(6ChrLxT06Yu%{$%KFZrexrCk&;8pNk1U2Wli&uQ#1Vay;Ul(wrt0vMEDaU7RjdHZ=%u{#sg_J?;J-wUl8O@ZKZ!yHx_b zus~udvhdL>5og4T^rI=uO?%{;#mhoVwKXEtI1p*1vG2|@_o?{yyOFx8nXk5`Z?G@v zWALG#myHnMSaS?SphEH>o2uzgp$s_t2_K~@uIw|aZ38cx^-X^a>|rx6bTOax3mhsk z!1LH?9gjj_+L9w+^l^EJgF3^djA4wOu#Mxf-?lQwC_OqQM;pg=pJl62)oXIw@lNJ%kB8*vhUshOnUZ@g9@m&`( z1^f2K(gp55ioNsK3n|(I`3<;2x>ie;+gzw8%c%*TOX{X})=a*2db;Z?YU_+FRHKvY zuk?i@IOyuz44v^fgt$i-#$Gjs_k!!q$KDhzpsn_(ZhXv_vS_2Nc|Twze5RrFwmUEO zQ1n$fQi=}-_9$`g#KBnI>4k|a?q;L$;oSkDckoV ziDhpHc4Ygnt~twkA97qa*~6C^Yo{M>R6sal+Nk}mfR*LL?uJ^GYEVG3eVGKY(98>k zY-VpgqRmVtxG~#7$D^Jt;%r=2A6mNm<~z4LDjSGuH+LF{l}dJ{H11?QdDD`yv#}N<-rc0P@&XTnV>Rbyg7X!U!ZnS=ubuPTuw0ni9Gh=S zo{vf1qqrb5H8wu-DllYoQ#vUvDML|&fnnvQeV5<;l3tax4cr4BUfvDV?OdCk;>bRK zThDW5FAvxr#umO45z4`kDb^gTT(2nqd__iX^vd_J=8F95#Uf(2iKxjwMdi_J+7{?Vp^=-#+BDpqbcDI=r8W(qyO5n8#iBHyT7)aau}Uh{7TMojKpylg<5 zo`CsmDN6bg=LKK9IZtz!nOh!~1a_=KPl7IbQOF!BT5SjNUwJ+ueT)2-qD>#xqR)L# z4W?uc>SDWMwn5$JFO3_A`!=U>aV00{zqknI)<_3N;){M>njiA+9Yi?1IUE)9NY=6b z;OvTVMuQ4jUqGLf?Qk23!?HKM=f!>UIZLZXDId-&Ro~n_ELtL7)#EPj&dFY`@Yv#V##)Wg_+2Aj*d`bQ__m_~&>R zKFTvEV6b1|E;j88%V}c|jblSDxPAtCJw$F>MOKv129?wDb{w4-(^_PorQ)(Y5yofF zTyBkirabht53WaIbn66k>q0jM+`>&2^>3aVpqHS=w);4;9!@B6&hn7v#()Naxm=@2 zq9Gk&Ql}+h&otqzf~dS=iW|W|Y*<_=vRCY*oIQz!>_9fhDYA%6)`Qy1EI8vz;e znhDKd|554HmzGZuf`e zpC2gX{Uaapej&?1cLo{oAEi%YrwE)PaEibw0;dR^B5;bpDFUYmoFeeQ2?6+EMB?AD zgU4?NFaG@jW6Fnc2tj8AbVNWW1av^45sv@9T|8g|CjXs#MsULi4E}Ui9?I!{^BMTfA3fsINAq#ve0l1INbMh zoE8=rD;CxKV@xJ`4aR~|5u8_7K4AFk4L7}44u&NTa$U-P?-WNI4$@i6@1f7q3gn`;-{ILo za6Ie!&N_e{LCTs>@h(;`>9gpA3uAh;0>fqV;f5D#Xnd@V?+%F6U=}WBS!t%d+fp5C zkq+Q~^5QJ!ETQJ>SKWn3WOQoR9=zvA-R2}jZ?Yd!J0OeMs$Tb&JcmSTP#?K9uD4<0 z*ZjD{O5SAGv064bylA3Zfmz51w}HCO5BS^@U~s#x3DMRur2HE1z&lspu^Vi9UoHuu z5xMgaVLMgUAwSvPk)3@$W5t@7t7WE0xA>{R%J!oZ;Ql6bM&R- z-^^sa!rQvao4eKY6a!ytCkHjPsMzj;$aN&*dFJ&mUWQxMqDFqD%UZWTb57h9Kq7pJ z&4n4;2tAfo05EC&ea782dhQrb-A zaa5!il3r(|+~D*?=|anJF

    D`XZ({@7yp)XbBU#X0qLfd)Milr$6UeYc@JR7sG3! zi!}93tY=O>+sknwb7BHR(PB%Q&*Ro%MShPg&W!z?=Us-t_35{QYsd>9Uf$nROUSq` zH}vrUm!k17^bXM$$ytkXQs#Az^iiJ0Ky?iJiyvQoqmWPax=u&bDtlccCCk+7?GQcL z<6JjO)O|scyb0>8Afc6}aI4)MK>-~M@25q7=H12de&6&`Mc5{LcDs23V7 zlvl8DZmi4)TC@kI#qzJrm%pZrAE=ZFHCEtIytsM@bWl8YPCdtl@Z5u}2N<44vP)~Z z+e#IdC+;7IH8i-E>#fvZNnhCUowfCDzvt?!Q98m!CC*KLcNc)M&GtcXAmicir_ViA zZkjtcS(Uyb3T1^*tOmR8?lf58S(s#(#X8W86NwpT&hN0+?OwRr$;q8Gd2^~Rh1GgI zY8gdyHkfa3u&bBW#=>m0SLRI6Shykgm5!D1X2*i=AsNNtS2enf;iX8O5~-cFIcu!S zZyU?CH@S}Y=`rzii6GHqh(j?xD&lL;1w|?PIDBpI4z-DeXt9j?~e(G}@~y*}5(-&82<6 z6`@^Ow4w0B`$kq#s9m}BxP{B~$ccP$Trji`^Mf}~x;vJ^M@Q|-4!pT{5Z4tJUyQ?C9DA5hv{!2$ ztF^|&)q9_RV-bZs=%xNs{aSm;FOH6d?MoiiyqX^BEC{Pf;~a!OYt;86oo^%s*b_u4 zQYrV&&A)P$EV_i@Wcs?hbUF(Yp{g_#3!y;ou(xQ`EBo8~jL5C(xTuKal;`GSHnUgJ zQ;N`29;gPYi%r$tZ!^Ej6digVm03a+%L)kzUr=(uohVF(jBToby?+0N-#bd{_(f?; zQ>-@uW7iaNGX*O!U-y!$UfVT%X}_Ll&Eme=^R~GVs@S;!*6)|mN9^J{*CEc{KnCrChyHAQ+mS{D76hn)BC5RKr zScbHhSQ3D9!l|4IVoMkg#m0LtQZ!9n>W&#&v=zp8{OB9TK-dtAk*t%JiWMcJ%5%Ts zmI5bg91G$a02^jnux@m^tZTK!bcR&lCJ&Hqr!3lHF+>cipm^;Yk7!rFMT${(=K+t? zgXi^#2c!y~b#=Err_7w?!p3_#kv1dWsOCKO514-VV7yJGj*fpCJ?AxBU=wkH;rs=@ zySMJri%(JWCHp^riUUX_;6x+uZE}Aq8mn*T>x!IP-hULJB6j;>B=TT}g}=q{R@+E< zY$W4Ow7g1=f+V#>QP8!UbL&zLBs7a?weR<;fJr*OBlgPos%pqIcidiy2Ime4z8{lB zKo^nJI;dFPFdbDFO*mjy4jvP)Qg><(VHdfFh4g_%XLka4NyP2;#M zWoAh?7u^lBukOU$XqHM(ad?v2G@huxkgGDhf0aM?9Y)p_2`yd53ghT+SJ~f;)bhLQ zwtu@eASG6n<<&AI&lE9sut~V{<&5^|+gQo*P3I@c~b+Zyy+-AmHy#f1-rV@Uu+ta zZB0j|aB(s(6`0y5l0+;{wa7y8o_Zw*_mwAa~15;&bB85;sZqtUZ z7ieN41csu1{06w_M?HH)U} z;+Ir2ETRr=3MBikbF4bnZzSF#c@#Nj0oSddf+}rr({1YV?9S*l<|PrBbTk{zmPmyoVk}Y%Gp6Bpg;PKkzS59yHWB$ejw_KvNj6iyMwv zclLAqE2)H~RW2y)$~Kr<3u!04k)0Xedk)HN^M}MB8=Ef9hK3I~w~{hnWp@VX!^;Ul zpoJR1)k%9DhET^CYH1sBE$~{=Jh*LBoJD4R%VT<_bB3JJ3BzK9#nG_juqQbADhP}x z`~CN$vicbuH3a%__#D6!uatYWMAdH`b)G1FS=Xm5)R!D9vm=uLin=GWy+`gawqtyh z1CLf6)_E8SRMnExxh*NSHV0cOMwXvj&}bAlTCeQX7(ET#fviB8OsTm?X_|rfk|1gU zJ;^XJ&xPgQJ;ky$-nbo>jtH@uigG|UxSbL!tTBR(je4KHzP<>M@K0yTV^8`{Boc z4)f+aMIsQ+&-_84vj!)9@%D9NH`lp*#?S;45R@p!I%#J9E}PZ2)mk`ug_7Xzw8L5X zap3fQZlZbyT6$_KqJx0Wz8~x+S}C)ZpJ*E$>JjLt3 z)RNQ%#0wvyVQbABBf*N_Y_g0C_U?>0p;Mj`^@s(yV5)28#^}T%eYj z9^8!ga%_X3!0o-g;N0BY%|(7WthUp#M)n+Q2X8N3?3tz~Sy&mEDl0%=pH(t22o$a# z1gduyZ~_U&AamoaWbYGdaWw{YnLCBGzj8vEpTkN$6jDpu8z6_CWvZNs!bIF=cC0R< zbQY0@xp)7uzrX)|AJ(>L6fGqtIXRh2zr)-6&g<^Zs|_~hp6lQ%CB)fz`+?PuS={++ z!`!yvY4l*A+m`p9MCskOE)PB!e!WI?>&QqSeU8PB-MCG=dPe(>p_$N7;?Y=SBs&d! zDFC)P23N_VV`Ck0_UyE@NN+<3!pPkmCq5aycf;)VMg!K@5w!0t|OqU`;a^FfNh(* z+3^^b_7pVe?J_0FgZe5k$MHh`A z%ZnETUJ!Ue;01vf1YQt$LEr^}7X<#tA@I{H9ru5iS6X=DC(gg;l?MBL-JQhqnIKOh zFqmf{n4YYOlaaA0vyh#gqp^jpfs@G_0K$_y@+UEy;5TjCFV^+1^4U}Qi~0-m@AFCv z{B)xJQwJ&0QQByOz#d0v)z87n z4+KQ=^acRoN|)SoYiVw=(?s-z?W zDCPWl{b$QvK7TTx`X{;S^Ps>F!3u{mMf+)ErT@DYAm8Jkz5buH08u}Wu-{>5Jj*+t zhu^bcgTUygbQtD|De_ZO`**aD=ZWxquq3_B>;JYTgyyLO&%^20dPe(qb-Jgz_hu>e z&*25~pAON%68Upl{vyTvMK1p58CNvZKQHuqL+ke$S3lP_`naFxi~KAAFa$sC3ih;m zJz3_j?40KYp3P)s_GG805|E`PHb^>m@>{40fW~&t=JT6Rq!@K~?g=eyU#cV`g)fqh zT6_5g$yo6dUQ%uw`FCyx*|wOj-j$7PKdLD!eE~!Vb|+$OM!ZpNBThye#Og|vfC4*i+|dMZx5y!6**yu^%j9<& zVoK!?dpG{bdX;08kPqxg*!?Qx9vXJCmIA1zH3ivBGqagr9{2p+wH8??NcPtR5aE%r zGYXv0R=Xac>OSsjFLKU|p{^Oie0%Q5N zcZZcb;t~UVa3ej?s#OUjBvH2zAMy>`JePYaOsnUg{CGm{w zQCJC0sQg<%{E!f*E#Rs$y$j#iOmX{8Bb^xiQVI*o<{uLMx(900M6k5CaOc&Pe7R~J z9_jkFp@LgFZ7l%2c|!4Qj9JrP0p{dXjs}HF#@`NFt^+COAiP(hD`?ieas+Aopf8!y z->OOPv0%O)5KG}nJm6?^A8rho zn3T4!$lZ|b)}?R3KI2|ww^Z1D_4nVKJWaIOFbg%TGi)M^qC1J%hRRrgEB11xp{t;k zg3bfkI=O|$jSh{Vc1qseo8EWwu07sdS&Z!VA6%6w=C0P9%6v65;-+vUJR#`kB^%2! zFyjXME-Odd8lhT^StmyOD-TGy8a@N;w-Mm>+3hdv;|>O=cdAJeKIr_@H%!U` zY9|9Zo-~FSYA#zh{ZH+T52w=dSYOL)m9&K$T!6ZAO;)pGW$ zEW`p(1+N0sWuqXoUTu`m9tlH#9+`=@ap_TY=RO_cj!8Kt=PCIQev1J=oh)5hh2oqy z3tYR)eZz@f;_vApIr{wzDG;4v%++$)PnU+&SocNA@garx4a-^BrwfW^;+3!K5=PzO zK*=Pq-69^dV6VT2)7@{UPy;5-D#$OIgpU44>Mt82|W zvC=pce8m{&y63c#6t1~z*njg{SI`{zFVoVce zO8D$3e27Cl7YP#~rQUDpQ88>B^dsG-9MHhBcD6PQ`F`HEyx`xM`HCrFaD^(Ec>^U{ zz*fo`cVNQE*rXbdS_Nkp8C`|Z=RxzR!TtdVZK1!lLX(Ly;izp-YH^+%{^_RKMMG!)H4{tmL9yX{EtBxx}W8z~Ykm*LgWIAmqM6m8n zuByL%%|gLEKV#4%gGuI2>DLHoQ>B1f9CCa&#D{q?FWjM;n&-x;7q4SB%yt0kk^KFQ zmD5ao^=rkBv30j_8-3Ld;xN4vgkTR@WD_qE99TT8kQ__L0llM=Lw!x@?eSG9M2LIX zNrL(qNDwU=AnW?6HECLv{hc%GlcjJ8U04KZHr})<-OzW_I+h!D{He_7K6Ct+>SuM< zbk+@uUweC1Th;Fdp)vT>q&dNT@OWaCG1fzR&Nd^j4b4In;lem0v&3e(ZI(`BRY~om z1d0H2bWu4cnnvc(A~m(EK1$O=$#`ur#G6b0-3d&B8q`e>CKtk+h+}xj@oT7@4C-o~ zA3r86Om6I&rP<4$s~?zu4R61L9hIr@USs+Cxc>m1c(&l7*HkhIxJn1TGd_E#!y)*D6Y>_X5XbUrkMSO5LjB z!@qNm8<25O;STK}6GFPN&Ne_+g%PT~^KI$Ho$(c_j|CzTmE?v`EuB}o_n~1S@$Xcr z_hKnG9Iw0=vFD10*?y}A2lAEaM--DTUKrdmR!W5{|980Q8pcl}G9R~!M>;|ul4DiS zwT!fUKuN#@L{cGz2PgQ_@i<+`uGy3s@`Oaepy~$HzcIBMh@_qys*~*V8vz7D6wRD$ zVLEaryvInBMg^hhOmv)^>}Im~@eYZyah1jB50Y+H3(jD9+QogxrZ)t}sZ62$A zcTzf4z5?Q6S}OQGCUcj@mZ!QB8K%R&wPyH@;&!1UbQNA8Is>Utl_gqQLDQRN)gHVk zpYtR*2-pEjP+ZawG;0^#EaUuvj1Na`(+!?kjF4%-(yM|u=^lX06Em;%?V=!9c38c< z`-NsX@6YZB^A*!>M?z$djPEzJRZQaws(9hwwaA!E&9r!+nTV)I+bI8N5K?uAHu)kC?hk$6glD62r zRp#3eltb;>WN}f1_YT?!E&F=nw}RF14f*vF6l4FW(Vnw%UWaHm#JehM-v^y84dw0q zHx506m59{4f#DAFTnG*|(ymT}-LhMWZ|gHN8tezUA?a|c`Rlh5d`pfoo%#XyF8bJM zjhskhy0*SZY>oY|Q5uzO1^S2RDfwCPXyr#+JyJX!t0{g^HFIV^wP?MZi`{jiw*V|W z_X%`PV13+nv-J1~FEvN!T}75M(Yd_y{KtZt?xPYv`x3YfFVfYv8sHN7HHmE&u8&ZOFF+v`qy>|HCkBO^-cSwr&c3(dx3Eaq;mjS8M~YeTi2{X}INdCM&hGzvtiBbm(HZrc!w&}7*;fw&oN^fAp3 zbJPB|d0K4zx+|Yv&F#8qd>Z)no|uz+7x7(k`A!XH+SMx!X1_9!q=47;9OPgJU8c03 z2Vq;Y9^%G*lh0cWL{-?ffMMbM?|8|q;V zRC8<0IIp_Unl88O3?Ho>Iaxc^Rvw{8z}OuY<`P+FP3PL(3Acs#$ZEQ@>gjrFRKIJ) zU`|SU1B%593=+DW>hJibUejNNcQ#H(+EJN#-i);U4Z>Gmybm2jA-X7H*l)^tWXmq< z$diZ28p7XCMGTf|6%tUBQWu)qzDxLFQ&59Uho0X#nT!16Km%F&_~ckXgNXt-S`-(e zB7^~2%#W)KM_DLpaY#!)&3238Q_MO?C?&Dt(3mmURu zJ;1BQ2-?z;k`kME#oS6BcQ6}0YHA&j1ReAFWal;MoB1tbrlYs<^o>ayi@2zhr1K(F15*oe{5d#+N_ExF(QJF7DN&tjKVt#82c#T!nXB{V=v&g#bLGL^C!lrR~OV9~AYqf~IUuY8{} z6KO~gKI)oo3!l-UVERB816e;NJj`^p9#y`KlK8DzaJ3#qzPB%UM>*=4PtXHMaP>Bn z1s`?(eZKvU=Y2Ai@0X(Sw3|d$*sC0cW4-f!#uP@IJ9xUH1X~A`L*JExPjWt@Dvx@U z`49QAH&($38ngy+oAS-Xtnuy$=@(sta=C*=Q`)3 zVKU`64j~`omqFwuCAO%9=fC6zE^EpO|YUygCxa^E- zOUDG#Q>EGk3A0ksjy~g07}WBw5jv3KaMIp~%39}f?RFFjn&Si-`O>;4F5-F7D9X~F z@7^NT1njy8?Y?0*lKBQFkJ9T^$Nc9de-+GF-vb9ce;VGB9en}dTY=CxGBGarj~7M= zJ{l4pgd-(@$npZ0wE?PDxP3vROEEXNf**U=g$wTJ@o|u$uaCSnAS)d1&*qaefYuty z5FNBOn<=ZhGnD1r+ zRpb{eH%r(~TKIVnzta6s>Qm%V;{<5?;V?^2bUNrpb4x1C&A9}`n;}43m8vXV37r0E zrUJeF3pRv@sU3Ayys2Wkyj1IGzQIu=~WInA)rn5ei!FX9}R&0~w#Aie#I!;1qDMXLfqJISY}Wq@&2 zd`YNk|Iue=x*4zw$ttsJM}6_$d4e1g51j`JzF0%Qe-mc=}%n!x)x22>aQUNSeHI3e7aVa@muv3n7W4P^;q184t-2Ss76-mnkMHi zp3ojXkkx?3Bz;Y-D>It#8fQu*uhL2e8=aALY~hMz4Mg0p?uM<~g#FB>q+`7NRrD1k z7}rg^+^B#xq6h;fmjImLt5;mgOf^ zDuWX!TVdpM_J%){DAVm`P|how0uBtNhZWM74_SRcxq4$&Y#u zwK-j6Zna5Yc}Z(8#5LZ8T{O1LBTUe3%TV2*cXCkIPZ8vaQdAM&VEQo%JpQ|huF{An zF@fLs2ds^wJ_UH1!;l;NiZS_(#z6-);3>+3K%s-23vB|y$-a~HJyeFQ{4tu{??fAg zKOEEooxtHbM+eF)L@I!BKf|-m<8~h@$xQ}Z?n1z$;izAJD7uRdb3k4Kk`)YI`#McY z22ul%rMCbbpOlfI9cSm_&{UFFD(WspGQAtl8R`_Qm*X;+J?~Tn9kX1!uJfRG8b%ys z9alC=n90(gO!Ve$T-}!v`$3mJ5*GR{CnQ~%SP0Dpg$*t@f|JGKW5+tpOjw#?tUxfE zgJeWDB9+^2)#1s`=SVX%#slf2wYV(Ir1p(+hPB1x=rUl_L7k`g@i^Jr%I4~OXyXyZ zJ0(e5!!hM_QN_0C;mp1)_!G$x{B}~9sM)K$?s=;Y6V=A&AnQh0RigzwTD{w&hhL6h zT1yoijVX`OMT{+ByM|{glJy%XgNEhzc5&U?W^Xh++WD&)G6QJ53Uca+B46mjVY zG*OU+MHS!_%RI=s)OCpS?W^t8J4G6~%yw^a0W;;`1Ifx>nDKSZmVRr>et5=g0k)G! zZa`THlezr?7BKtf39ZN=dJ+RZB7%1%`L*j2W^IkfBo|`nwwn$wHGCz|dll5h2>pwd z_ASuyy|YrC^t5=M2k>B$vkHljgq(=$gA=mwxYb~vHmFGoZ9m0pZE98_5D#xU8=h8r z8GY7sc+AVd7|tesidI-|FxOl!H@oH!u=~7eO@ip*a62C}13swcI3uOBe58CZd_$Ha z-ApY^cZ|?h@&Ofe{B3kbB{j$V)F5$IXgE#p+vTB0oP&sjey0?$z_a3jCZXHd20k)0 zX+~_O+x|2*YUJL|c!=)fj_m0L*vND`@+MD8zB&Iwxjd8P< z*i*LDwk|T6^rLEql1IKs`9*suG@=V=!fIMFqL7=e^&zRPt!sq3#R930@(HUL4SV9S zMPCn9;@5GuK`SlMophuDn-C?k1~BUC?`4*HHSH&#ljhI^D{8lBJ7y>ndV}Q@tqYcPW5u5~>(ThjC3JMJc0dpswP_kqP+s8j{EOs=2>!@H_vlL`wGc-|=ZSGyI*IM$ImG0_cZsW=YARICr2 z;B~4!rd5)u(xQyb+1V9!b&1`U{Hl7PEUZ&TQGJ~iJ)4^aqS51FEQD4)zIN7@)`E|@ z2r@XurKP1EJG(nO5Cshld)%B@2~rxQ+8eT(_7%&hb~HGRqSTVmy*X`_P=|$Nq@?6s zJ)~r0J@$U)UtYHC>2b!=p4iG+Z$EI%=n;8_%XEVgRH z+Qt7&O@)m$!W=YZy?2N_)4 zIf`MZ&E6#?RZ^+bq&Mf{7%`^qohX8-Dn$4qM)Q;idIoTb($K=9r)6sS9lzGJ zwbj+ddzXH;?xX4EqwLr+ z`XG(gE?kI?>WG5&+HJ#JqKaKsl}yhc1Mf>dC^3eEkv)u%F)2Io!5c(V3rf{+t}YyA zqM%)e$08UbCXTFVQ31edZ(ZH%aQ!?*M$X}!$Vz9v8H^P>Q9_@osBi5VjHi!i0Zdr$ z_}?DeEhIYUWhqSE*PmB--9ed*X<7v;NO8DI@I57+5;i~x|3(EK60X8j*I`nT7UHu~s|KA(DPwwf7 z$urOQ7t2}x@9GLqb>z$VmcP>at)DVDJ#W>&?Vm&h1b>ts9LKzO0Ra38*Z)h5aL>{n z^?R<<&_C!pZGH6@uJT{{^x``G3lJ~G3j!|)yddy`zzYH|2)rQhg1`#`{{s>DslinF zPp9F1_ZP0^FN)kqM z>@Y$<4fIcqP4d*==cdK~YUihL{{+8sEB}L~|EY%hKUn&Y#$eF?voRQcA@r+!ZuQrr z1cs;Ae_LmKs&mJy`2Y1$LT}VhWPeGXVaR?8!v85M&$$Snn-Mm73SIGEl_}w=JwQ{9 zGQwZ`oDlwZeJ1_GAugUTCfzZ!iSTnaJ*6Ccw)7v0I`MyCHpLSD{2>1mX4BKs`MZ$^ zel496PwC3d9G?QT82{JAKVf<@?Vkx=@Nb=a%ukK~?c94xD*|Y!oVEPhM~naX_4MD? zUCF=euGCY#pjWc;srW;i+gyzrBzxlSe5;5Ul^7?g1fiI6qA{fcMG}RSISs0zv=J_e zR*!m5i=7b-O9y2}2`v?sWB3JxScI}>K8^FIX{6=TXxF=8jtq{+-Nu$(Pr9bdyG`du zpF?lHOV4Hawq>=b0SC!KOQDCH>uUk+mBR0-RXFE?I`>$*wkBFoNlS_o=2LxkR;S?S zD4cf=*Ol~bo}(6-n$(hj5Y3$Ys{@biVXAUt#=|9H4h#{xwMb-q>M=gJs4)SivmS|n zk7*a*&OyGZC%t2R3qkL}+3fX&rUbOpxDr!?J^wL-A0nZxjKa4+hAl#zX#<#Jr*v5x zN-A09@Kd@@y{nU`T}O)Pjm`epJ;Uv$NZ5mpAzoW=dRNdmd@~U1YXLLAnlY#uuIRmn zA0PRr@`=!iC>c5+aX2-^gE0rccS00|Y*d5Y&HGObai5q0_FLyWaod~%KB8Q0v7|dJ zH?b(kxJw#&A-OS7vGVAv*OM9DY+IQIMtnc-fF&oZC?=%TcgTlISq)qSa83-J3psWG zO2CTF?DW2a0}GxmU0V8#VLAxYb-ixmcW-CZX@sf!M6)Tu(0?dp`@Stor^;;u4}%z`rWp#)FJ03k!TR`GqIJ&wH~@(CLt&E)~5fI##^k)1ZuamI(zSIDx<}Y!~?BjqG~f%YEL3 z6wd%LTNwQ|7R%l%C{PtzE{$SNiX|RAAp!}r)Eh#{6(uV3sfIhRb8c^ZigfHNQ2j~# z+LcO^2LZ1t+a@}`ure*W&W4uuVL%oYFijQAwEwtKP&62T-SR73oRFm1MGNuWJGP#p z!>%YSV66<^x|mOOgTb`liI^iZ7c(<6*XZ;A&m zBZ?v0dfo}^9zzwv1sF%?(avoS;9*m< z|AtmZo@|Vne4xoputCLAor(jP_Ec3=!5Z(QY-Z%C z#2Okfb!H>ai+D1pH^tONHu9gvL6!+0;}YIZm)@s9*a(i&vfq&sd4TFSj<5v0#l34O zLt%4qJMJ4@m)LfN;ne_Kt|>OsL{A6I(0YDR3}ubLgoHTP1Iz$(Ga}LwIFYGFaOc<} z>zN&aoyd;I@kUY<;2W%VxcoH|lb&n*@QqX^w7gmwbM=GU$|Ck8R-MK_~BrU!ja#=LJSru%oDUBAD$%p>_LUvPndBJAYD~GbU2u5k9|~@S4={+vjvAqZA^TKuaf+!SSMy=_}AWJq3qmF zl4U|>rUJItvXQP!!+^=V!0c4CVNi#sMd`HjS9LT~Jo~Q^S3oUKUF5_)GXS;wH$5kP z3TVupNBbD6P7!wRbiQG@;2*8utjkn;tql=rhs@=5imvJ*5Q*!4YGO2_ zO9RsE>y)FDNWOf_j_b@9iv%2fD+KH5_W6REc64K;at0s4LljL#vd<^3*Uv zJ&Unx-v*;xDG+ClTsyBh{gD?&*Uhxm4s#;RZl56byuPM2QG(y@sFASXD;C>8Mtw!l zx&jtBDM+Z_zB~HiZ6Z2IVI9u}w6XAOd34V;FDmwlA~bXJGJsAs=Fod`P0^9igV%?U zt(=QtD~vGj4LxM@oYD_&+#-u&IvYaoh#U=C5PXz1ub3F=5ODTbJ&>hECCc%ra*E@>5yadvc_0_`AKRD$>%zHe;5u#}K0hIeGV1%k*Twi*np>BxELZGtn5=fSdz z!EV5R@+?oxhVRHA3#vgM4LPO`rMUQ^?VX%1NT9e9nxOO4f?l9qbF%WFrW-BFXL#Fya=_M5vt0C};PtUivL^JHwCb;%@xr>+$Wr82l zE)AMKVv?CF@nBZV+bG9NDAvfu`{r5=aOll=6_puw|{M3 z5T3k#{ec^q+@ZLqI!o-qNm7*9H<*4xI7Trv=u=1QxziheF0HTcYt)>jnaOYKSb1;B z){jI*m?>I|KLDpI1p8*59@9ZJY4+vbk+La7@A21$Hh3$|^U$6aL1w%Qj=$2Dx@aA_ zwN}||wz3kav!pCnya{ZKKRE)Ds#;rSr6{`U5(UGR_dLv0SQS<(9+7|isnUj}nPNPoza zQuLc_?1yMxvf)lyo#{#1-_BFZyD=Iv%@Dql0Nw-v9sd|spvwIKuPS`nN1r`io=+?c z=*3=NSVtD3B_AukK9J)Y{;-z?`ejacPSA5K`HaE2ths1!6>(o@aX1WH;6yJQq^Zi}0>))F?yjU2TPrIJfrJKoO5$<_?_Zo8F7ViVP~!dCy{W zh`VH6_ZmHZchhDksJS?qUq%w=K+pH^B2VQ9r(j5*98r;}Xzse&ezIhsLX#r1!Y%{~ zJ<^DfhV<$7W=)-K2*KsT21}NhkCSB2)A!c8fKgRsW>tPX%0g6K+Xt{_u{ZF1JnC*r z8fK$4poJ<(l04_}hpO)bFsqQ^M3wW_N9V^WX)ft&_niK`~!#I2%->zO_w~O>O~~2 zse3M{j*R~}Ur1%NP+(g3sK}bjD>>!3h+RVambFVc9A?a{w-IkPWGYyR>CsnuO`=fn zuC<+Xqje!25R8vJ1lY1LREHUOB&Zl?j9i2gFs5uuVt6X_Ej1I1fHviSe z&($i_ZQVazyXFgyt()9Y-)P?u|1bxvYSzZGlB7!641G=DF7BJREh$94`62z+m|o18 zY{`szo=P}!qId&ulNmxfEXs4fn6!d(a(aEQwgk<4U%MQvoq=yYl&wl~k<%Qv+K7@B ztC|f$ahfgC%W;OsEB2W<#W?fsE``gxbk!M?f9tBN|0?8UIdmX%++w?<%`N{jg#Q4Q z<$P;A`)uPl6W%gOQnx%%pt(ZuJ6!B%z0Mz7jBHNBWUz0jmWoKq+e!uQiMmvpk{29Z z(E7f0lS1UV7}VQ*U`qR_8-ao7Gu&mj_jzq|DnRVPN3utGy0b;=3tHnot=fJ~?c7JJ z;a3-;Jzc_#9mIklPmHX4U=U1&uO%gWdnHbh-2+{YpQ~OoL?&fry-&ypHsIh;$J4yN zzP5IOd!I2V3J9s3b+50lxA-`{m~bSf#0kB!AwR8OGL5VMe? z##PSl?InW342rigDZOU;T#;Uqm{NDOS27{IK}3u^*!NBJvAc_De0;nB#bfMlG^rzO zEpA>vMiinAd?y2Z1>gx-GAPZsaU?gMeWJEbXItoh(gGlG$go=PM5*7=_ZO>Io zScfdw0HvqLvK=9E-@wBlBabjBNa39YS+D()l5+56DT-EQWKl3^X|i)DX)T}VS;qO|}sIy;x1d(5SThc}`4$6DJcs58EPqh$0t zVbPTJ3(40I;m?Eybl^CZ&8(i{S3FmOYFi*zu6;!N0#AyY`nnZQY?EP+m?!4i9Gfvy z>QMx*mc}|*cd(c(3u$Mh*+{F_`PJCgLunT1*)nbm%d8kkM9L3*ZGSps_%CKf(qCeI|1)3ke@P~SpZ$*xD0*V<+e9Rq z|K2a@(f`da>Au%Lo!Wl^{%K&+KVjgXNsT1ie~$S7^sUl+qyKK>{&AC-b}E}c{9iF8GL`v&^|I3~8Gxhd)`!AKgaQ!sS zKjr=7Jay)Ih4@YSVrTR$fO%F!{DTVOU+Y}}0CEq$?VnJo|EF`c8RtAh1OUwbEC7Eh z{Ui4CNg%+Wpt(Qi#M2{>-=0%Ed;372{(d3<`+3@6B%TiYbCQ-{&rN=n&xrnP{@>~rt`>ec)cQX~ymc)Xt{|IXfR&Lja^ zT1gF~m#>%VjSM+FzLL1~mTc&lAvV%dq+v`h`0P1KM?0k_gV89W1h!dMk#(N7(T34EITZ4~}-_t#TbjxoL zoWs?;GKqxn`J((jT{H zEgp0C3a-s9B;L^Nfob9dJJ24y&_dT5%()~|P-r(X8CKG~mLtoE>0YpSnv z!y57~+YSxEtP!S~KrxiGRcFEvfg!m0@9kCR&utP8;d;d4M3;wLj2)mirm~jBy?JRs z=(s%7WCu)q@G4=q<>aW`P&gdMs-$;HLILLR&^~j*xwHq!j_6aTio>0c}5w|?YrZg#>XX}1R}x5Ir) zwLoqSv#t_Z6KvYbQeg#hK0v9lJYy5v70x-hD7Eq0ReBx_97-1QF<_vM@hGc!732rK z+=At)5d5clAR8sYw;ZJdmBU>A>&PogAv7N337&J~jxmP@e(w2uycyMN>z3WG^2ItN zO(}At5Tay<@PdRY__#$-gmRTHAsxQwv2=2e-sK-gP13d9Y@}~))KH5IOjT}(aoB0* zs^m?F;_-bQ2&5`}~yn_G__3&6Y{2lq|7D z!d=ro$E@-tQsGdJlU+~ZVLEn@te)3g#!zQk)&ar77m|Lqc86czas3EH;RCX;3T3Kt z)H|e7Dyu6(85Bl);8V}dEWg;myF!sI#G@_@G%cXUoD@Gqj@(Cq+~Hl?PaTJ_67ck- zyY)nZgsfF8p1_J~=$;sS$JXelYR2%xi8EL;Z_<2ZXAC9H2QoML*fk7w!?uFvJ)nRF5eNPpr8*oP`bdpggmiJrb_UE_^oBP zE$LOc6L7oXk;mI@QnyJV+l3o+jgk9D?C}N)EgCmxGPFDB#+BQH-+K_;^=l#forPdj z;MeN*^MDsh#qR+1^7ab?F9^IK@Pfb#0xt->An-o~0k=8lI9O?9SB#!z7;=I%1u$zW z*c?B~{<+_xXor1EJt~%waDeQ zGF?v8NzddFzJ+qqO2xf-xM8lnxt$)s$mO@GnWzR>!1@Epk zMCg7bwJVT$I^jeY|A(*TS>r%CZ_@`pmD?g|2FK$NP_~*+D2MIW`?D1(V&y>gCFZZFDvLEDm3zm)AG7 zfjhtzt!^HenJl&e&N?fvHs?~tHyD@2@A~DMKi;wdyLJw^1rbIzm}|to3E@K%Ig3+&D6hR}DcM}0J2fLL zqWfYibwo;8yBghejomf!*gC2`)0YEqfbX}x0ODFq{V#~QarP20GxhLS&??{V-s>^} zLwhZ_x#kZlr9uH`EJ?9oCU1T%kJpuYp9isYBsNXi0EE|W6>6fj_}<#wgPKwNHkY8; z0_@_ZZ6)d0SnhnxF6G1CJm{qMxuIXT7(j$VTZi_Sc6kC*I?pgfI8dQU}j^J*_Y3|J$> z%;)|P+QSs>RkVnU)#kKu-lMwKHRttA{Bw?5R~5>!j=67W%$Kmtm^HW~sTW`{+ML0F zrjIz&))7R$dYuSvDAgfmZTi|aGP=h9AA4^BRo9X&YH!>&?(Xic!3pjp1c%^GfS|!G zf#3uPB)Gdf!GpWIySu{=Cx?FBefzxI-M7d6U-zI!MrzNhwbowio3)EIt7^^y_T;&f zCy2A4GuV2CP$Ixr)DI>k3rp*y5^<N1x?S^baf(&*0ud(S2g@JXe*fJfpkDcB+wVW5 z8-IR`X9CXzo(Vh?cqZ^n;F-YRMc`o)Fv3+v*%7a;A+StZ0ScDhAk~8Db&{5=Yc1&O zF#aUi_xbS{VPbDs0g)gsT~?HW13p;qZ4 zn}&{9VdH|S=LyZ^No}9I&PU$NKA8wr+&G6LI}0K&QU)mv0WT>&Na6F=pqDw4?5i~Q z=7%an)9jc!CQk0GudsJ0^(2h0Wlo7Bb7pK!=K6din9Ya<*9L7}Q_OK1nP60p=(kyj zG8-rqLi_MJPhwo?tg@F}^p%k&&BKPO*fTUIrFt;~^X zVdKN#yMpP18unBV(}J~G5EG7fAIAq!3%Xmk1)J((dxTT2d@zTMVu`qq0_g;N$osM_&|irVsyR?kv&7 z;c|QAF*9W*LnFG>^6HGY$PZf=-rZh&-EwX3+7@?CkiFm#KPGhpK$*N(bp@*h9QaLR z)_Z~^+zPS<<`i_YEq+?zJ~S9K zu9i=q1{NUZgC5(kbOoID?t1jz=!krL0|kL{?~a0{@u5@_<9@K)69C@JR>i(GZQb`fMN z3!uLZvP`3hFP48wgynRbCNM~xi63*-dWDGEc9J65snk0_oT^Q!nB;vW#|!LhiTE#a z9Gfg7TlrPi6UsemWIOoKym&C};8>LhtcKuTBr*gjx8el4Uu9M()oVm!yNbF0$PjG%Zzci9w4M#YzpKZ5KIoaiGl6FU&jg+cJQH{(@E=0J zX-Z#L5Xx;m2H*Z#2|c9;?;MA2p_kXL6r^2qvduU~3psYkzHpJHcJ)3-gf^39#WtQ< zWtZuyt8pRP-trE1)gID61KNMQJ)yVMAZ!%Vq%(KQxylA~;Nv`Mtah&S$xO_TuB3y* za@-M$dB;uxa4-8GP1;!!J=FaEFs98wY3#mwjN0#wp7_w$69F%6wtE<+t9UW#nCcTx zZQ8tn%7rb2I6wTI$o4!MwpzwX;ewU1Xx#7gB&sxbyBck_H>Mj0qNyMu1t9%r*mZ`2 zvF6TeneVkNrg=BP2cWe#(Rs($YSwJ`-$D;na>18(9-J61YZJZLPJ&ly-6n++kv8RQ zafF=3{+iRwrCBA^EbO$VGTfylmy)9kqLq%Bi|1Rc*e}I z%0j)+HjtLGyppCv6S^TBf^A9IrVTVZb@3Ce z4ilL{_P*zoJ@ewiDZQYJVGN2&+DRV1kNp=G5ssF@P{-j(n<^W2$CjMq0Iu9GW5v`W zbu{QzZqBtQUnN6AF=$U{$Zp=uSDq>_f5_YfI>ba^uQc$#{b)h$NZJN4282y+OOiXw+ zEepqGs{)KIr+jCV9u)-RP7P2dt+P}dvwJo_WL1^0wEfwpMJ#Kk-;YSaOH@{N35yBm zt>J}zI|&mCTXa8Ww&X9GKm;zVZ0wlo;iI6f?4W>RK(n$GJDj{@wLdvMJUz07gSIVW zXJQ%QWWCl)vOZ{O9cbKYM-;JJ_td4lB^0nY^@!cV)p)b52I*AI{f67s85cD8;OxZa z4DRzM_~R>NWI|lXa%yTCHcn^>4a(>ZAyJ_IcW(=e&mK;VNkOIioMupI~qAzCNWKl)EEUujcVNl%%0N!C$3%`^Q6$W&1{N5!!tXo&4=l=o% zj{bWAy1cB6sE)mfp}iiHrK#0>I~{8)3+HV5UzQ&T_-`Q&9*%|k&2>P>z|h9t#OU2q zE!OW>0sdL7&PBtoQV?+L->bo_P4orqo=(E~y%gNWPS0YU`KkD~b^Q-jV74aKlkQKY zkM0YP3DVBg*iw&)xAm6@0*?Rd0|3mF}rJ?O=9x7L-9xrG&p93vO>{X`>PH zR7~`zVoN)VE$-V0L(to$?kBtAw|Hk+qw*1B8>3N@506&p<&YuZ9 z6L==@OyHToGl6FU|Ct0HjsHf#dJJ=w8^}=4I|Y!rukr9)Yh4WdwL5{0Q5mlAF_ZN7 zs`%>MUx;I-KPQ_745~sxR;HOBt5RjMGO>v<)$yNMB#`^${ScJa9_?%KL-nM%vC?(Q zXBf28xuWrDZXdT&uydRLenAZV7Hh|Eau>p}ZQBL%TVs0yu{W-S^$a}vhVcu{VxpFj z?SlaSLSlkX*Ykx}2d5pv%V_?Ai5^%e463y(Ofx)J986{8fnH6aUc`>QG4`bX=eJfp z4Vcqsay%eM%b@<>&F!@8svViZH#NTb$C*3T%v52va+!dYx>C%bv$opQDl~iRt*H?0 zlEI=YxD>k#O4TlGaPAswh+6q;*HKZt&v5ve|JuJh;|q{;m-0?m_hOUxbmZP64hR&t z#r|;0A)nY(WUJ(w>)qpbfU72m%3z`UhUh&T-@8>fe_y&&d<8p33NGz=(6{!~O*>Y8 zwM)wcGYl(Mx?CO-US4|m@nEt0ME?q7KAyP6XnC5oJjRf? z2F=hw?}2AilUK4=Q`2d(4;TUzM-Pe>SIOJ&K0deQ0lHpG8|+Z3Z`}8a)M#AyBLZ4* z^gf;0z1HM@S&Gdscl5TXIQPInw+e?>w!1AAuz{iM|It^K*#T(Gb+n(sysI{LPGBM` zPSBFB=Eh+O3IZ%gr0GfKfatqx0>UnS3Qp2`_`mh1@9jRj^l5X~^&Ac9+osFI<+QMMpazAbWBZ?*@(4!`e`U(&&_0;* z?Z27w&8k%p^bE3hgO~a)@3a+JBqRz6z_^G&fFNiJh;0Zq>_m|ME@-4%i$8_MlGy@h zPZ4aYU7!HKw<+nr-0yq;f#4la(OC$8^Na@ohya+-08EdE9_t@+xqpgtm~8*cCVYx> z_~-8S|2vUc1b;<3fP2`E5)A;*d1-24@mkN~y&(XZ=)XSW-ws33=<(<=|Nl!=7Lf<= zj|88#czg(|0Z0$*9Q~zOiGM(`zk*H-1Uy{eA!Yo^0RMCV%elzERP1BK^rtuq|7Kf* zKBBmlrrG&FaTFZki2MI&6h!*hbN|lozh-{F2U~cm`Rh@T$6vs6dM5Bp;F-WPfoB5G z1fB^z6Zp>|@axT7_kSGmjQH>u6N%r^{KIeRPf^dd%YMDF{(021KYv^Q--~+oV7&Zm zA_6`liKCv31pxjuNBldbT81xO|LmK4WW-;-+CRU!{|@yzdnWKq;F-WPfoB5G1fB`} zhZ1-Unfo;T@n0iU10MpJL;OS0)}NNkJ>`#YmrvvPdJmufTz>mkvi^fC7AE(5^!0yy zqbkz&U+=QIzp{URoc|E+*J{S637kK-9R63v`5!<$q}vjktF-?AUPF-oG7V`weCwZU z=pnNBU&vYy@`%;s?BhNCtHVS8%M2ypL&);Sd8@w}=lgMu>!Wg&?G0^B^?$|q)^j$r zB{DHIH8!y)(zCL*)U$Ao*{BJ7I0^uGT6p`kymc5~#)cw~v!;(- z=HIcGg+=j8#Ye^fKoff*^)C%R^m=TMC7@s+Adl!C(_h=O(G_~?H- z&^3v?0|0nA=tcYgb}#d=SIFbj{LNnGaYg^*6De5R8(P_$>RAwp8d}+z+B*{o{pw$U z?2l3S!2k%qSlHR?SsCcr8t7Q*SsMPvv zH6sCk|7z-e_tECg>og!sc4j0}z7%E_lO;{kV7BjBq+hp%sp2e`OeZLbw^CN?I}79h zK*zxgyF5LP_i_gL2C%UUbH(vF;Bay|lW7?bd)>hG6;mk|c005|grsT)j;KuaMVEW4Vt9JX}LNBfMvW!RC!C z>b1p((#}HeH`xsPx3x{YC>!Hk!7{!iPHN<0NXC2SW zBHr57Z;Tq87pb7tQ^b<4sbjtvEGrmuya&9t`C0!*LvVXf??Qi50RR9-!mr=SQ}ti} z+#laQp3^gdX9CXzo(Vh?cqZ^n;F-XG4uN0s1H>IJv&LUe^C{89ra@vHP|sy*o;WQ2 zTnG}f#EgrfvEf{?&|a`h;|*_8SR!p%tWG!u0`afgZm%*%S(vC~jVF%S-k$#$hff(c zy6fEttzm{Y@s)^*jXa?3rmii;CX+3b7qWyMXL6WCNGk{bhC@UW>07I!(ofD3#Zt#h z;Z%i3W)Irp1=N_OM_R7ZZjx^f1ZkTt~ZQBPu6D0RXrbA2FmH%8(A ztu_Ma$~X%Z7j?&axVS>tkBvpq&3dzxaQLpX<{s)hBL$-N=dnEkZ z_yhok4J@0-_faz@V|nMF$AYQtbTMa~ywR_!-d{1>FuXHjil+bo)4NTf8a8^+L0u+2 z7Z>~>4rdOrYoQX2`-)gwEz9WI41l_hOMgY|q(50}^>r zU*q&ED{asspoK)uIa%H2Lbv8%x4lKj4Lf!0`{l6|4Bf%n^jzh;pcJ--k!p&cnb3EK zS30F#hWGwyO8z3M-?6qF#AQGzg1>kn(Av(iGC}hhe~ePwtqHw8)Yvnm;FJ&8k^xlv zrCT^GAs=#FHUJGhfsNqgG9-Wu?)a( z7OhbRq;6^Y@3-uV1daL+(=vs-N?UD5_Zi3C!kIUBKE05l)i!};F<~%zYqPX>(b7od zv6WQmdjDQGWmO+Kqz@hD!jblatbgXQb$u_SASr`!okO**`|vDF(4z3TCRmnia4{${ zh@i_n5P|h$$6|wHO=X{oZjnJOMNtyrHyn5Unt?%=ct^RIS=(!~%1m9aa+2yFUU>37 zE2P&tkU8sJrT9fi6H2%=M!hyw6Cab0g>K-JQqD^dZ&X5An7(N?FSPX9Hg)Vxwq`hr zYdGi(fI!l<*v&H*!p8av3&63eeCl!$u{3+{d>sX>+P)A<1U$nm!%f$E7AR{}Nh?|>bFk#p0 zwP=NSApDmvXkI7i_{$mWFIehK+PqByaQ7@?2R29#5g+cvRwOm_V*m!8?J9}_N*NMH9tXBwb~gp&ibz6 zr=`Fb*BvdiL-{Q$XHyFX97odJt*yRKsOEkxC3j^Z3-0twQ=Iw==v+jMcc|_F`15$% zyW5!zeBI(-9?R1fIPtocq8ltCUS(hJl%4Za(!J^470cwT8gVA(a#z1QQ>kByE15TP zU!gwmfU_B!3?bPl<>~Kp4r< za^A0Cb1v&S)7aGsPzuG+nnW}O#K#Ca%#^>X)mtI8yt&lnxRYSnuLJwR^AjyvHPI8b zT#Y^@a>R5d%9P7}XWfE{5Uhwn6lT3~uH{{%z>OPSE@KTQR(za|-MYDp7qvD8HzDD` z!D8VwJ;{1o=*$<4T9dhAHRMy>$`x~y&$Ba-2bZe&VpG!a0OH)FQD!R#sI0q*7wZcX z_V;ykbj1{eR+E}^ytf^2TP#{EqM0QNo)v8$lrHj{@VpuhTQUT7LJc+;qA}Y2tb+Xp z%G;`4l1Z;53B{TKRCc}av0<-mCT>&W*Zl%W*T{sIzMkq1M-Us8<;yQiwnXrA6Ni1$ckTTPQAzj^|#Ti=Bjn z9i$>Rfph!@MvkAMD852lfsI`!QtfL))-UD1M(qw1LR$RX4`ZAJZbA$b4^a=n>K2P+ zX?+^z@@#y~b+nbUC3;?XI3@0iAB~SW@UZ-$DAiQh%XwDw{n;`K}2^ToZ1p zW6;@UwNpA2EIKg(K)CpN*GOhDolLpe4hDgI+@J}$4Oavf+{^CrD9lZA|EuzqmR6-v z@nl|e`f!GTjK&%&JRva1Kjku514O&85=U*z8L_be>FCVJnAfXja=Jio6PEXwf=-bY ztvQ#5;B1gbaMNu49O&EWE>h0rZ-G0TZAS~XrH2gEyxjW%GkbC{)GJ%+uLJYBOKmS1 zb7+1`;uWIB=UT<{fIPCyleqJPAIX?;S60kmG0Sob$MH~mPFn|4-RFB|07zf2*#z_o zRz3e?dGWKvNRH8jHk3uu1(cHfb}%nAT2y?CHpwX1ExYnbo2 zMojV`6Vznw%C#Pd<~g}Exw%BkZ`POOAtjC3lCpd@ujC^rp?)Fgp5Z6wNb}V?Zl$Rn- z{^$sPZSWyohq!_$nPydV#gn`K#A_s)W{+IeCbe1XvkFb3UtF1B++2wGCl=1 z@ut4kpe_dQMoI`xPU}aNBE#TPXUS`ti9oWGULmz5OY4}2x}_5plJ5?%5f_G-Qf5=6 zLA&wGS3crnLtz1)A?bZ28lY=gQ2r*`isM^e@f!QP&G3h2D)_YtR848B=7U$RWMo<} z)TBJ*kg_M3{3KC&;!gTlEiMK>1;6YU6d`3&Mdclq`IbW)rZpvg4r2m3ziaM;o#m#i zd!bJ>9GbPk8m?g7h6N#vm0ErHEn#usB`~%1tFJ~T6LJEaT;0rPyNgzXJ3DeNeKo~4 zMg6Fm88)2Ycz-)q{$;j%bmDQpux+n{ug#m%?9+RndknCp3Q z#NWsB`KV_C&jg+cJQH{(@J!&Dz%zko0{<@)cwGAr{kRAo00#0F>erqA^2h-IfOQ}M zoQK8phybR?@ODaKFU6F^!rk0P3 z@U5)?(2w=MCdi2ZkKyky9^}XLlq3E2&A(RQKbG(PUh%jh|1p8_{>q=^SkJ$d+Y(i6$PV|@ZG{axYf7+Pf*JS~J+KS+J`A>Tf z{4W1>M2WxldV1Pu;OTjv_7`}PpLP~_lK-@)!0*?8+Dzc7UhCQ>{D0Gn%Ix7j9tk~p zBAWk|{NUyYke@M<`}0;O{JUxS(87L8Kspcr^1rmzJq68s%AZ=@?_c<*R`(=Za6Wzd zl|Qw@r_!fZ_#{8I!YBEu6+X#Nt?)^H()yG9r1dBHN$XGYlh&W)CoMn8g)O9hzr31M zK|p@{xjpLtkG)NQ_cf#WKQ{e^$5S6L@cX#IQ{7Y8#s5n@P0`2u00aE3AejHv)Aer$ z!F;^Jg$GdLvGx3cs}J?VA&-wGYp7>M^sqsQt);cyFWApqu0P|53f951=_uke>Pv4Np;;&WtfAwhlO_h&+UVn!wftvrQul3_CKBlMq&wDt- zhw?v{jUHrd{kEh>zQ5e_;9DN+0f4CA{(tzZ%JQq#{Y@f|ZhDVjBWXqd;Kufz=y8V_ zLt8!j_qK-r16Q`kZ{8NfmwL?qDm_edslxDmQN#7noUR|Y9VGeMZD3i9{wV`HhVBcM zFdB>cOA}-ZzT#KamWx(O|+^CWmsOFeHUlqHBbI9RE0XBVXfSo!>uq>)&_W zcb>cF-ao!iv`Z+h1EkVd;i_=NmuDpw+;4b+Rb(XZ`4{jg!4Fkyp}L}p=H%|}_nOq2 z@&df!FOv?L7pWUrN54vQ_PBrwQu`5RMOw^{{y?F&#<`*HWLL!YE9zec4!O0hew9=} zS#$rad*pcjHc`|N(eQu@QLQ;&TAwM<3sf1(O?d8Y*gTe3k-&97cfQoCPs9y!^L}8L zQ0lMyI8!>t`w#bLKctBUPEH~>VaFbm;eV*G_Vyx*WbyoYbNh?MoF-t&eMC`DC%$S-Wg3Lgc+;iDcHIHI^8{2z7SYx-QK+ z@fsN9o7lPRyZ&+bh+Mn$+sKao*ISdb(UAG*G%;&T8B{M4MlGme;Mi+Dt#<;^TwoO8fy9CU-Mz{B?-RuP}>5hsH1PFiE-BV*Cc4CenVTy{Q;t^ zyxuQnIkYQT2H+J^ah&ze4T7&Ki+vbENk2aabcYcUUIFQf3wA-Y{|aKR7cfkCfg&^9 z4106Tvub98*e zRqX+}C9$mHxZlDUF_O+o*8-za9%*zFmj%IbW@TWx3KhaZOFxD`LWY_`mcRoNCV@g4`>avHe^@N;AT!R~Qm?)XAl z^b$vZdC22{@?naVt`c_d(naomXoQw_qp z^rsirJW_vHI^qh;aQn51Y^>S0Ro3I-$nFTRGaKS#a21AXbacaxjzb5N%;6i>!DlrD|Xz|+psi^aQxV4L!lca?db}iBbc3l2E-XMWSiL94+9#V zw;Hf<-S9QnOcRc&3V*^J@eT{L`DnjRc{B5tuNaS46~;PI5;iI)-6uf!h!K2vgu3Tr zeQfF}sU!hNqj2>V3_`x$0&llZe5~4Zw2!YU0GYaAH`LP^hnINiZP8)!Th75e?e8M+ zu6G~G(D9n>o3e*ZQKrh9(NtY@C(*2+o6p>OBNpE0&8N6%MV19o344e~Iy>x50`+Lr zrOW$aGHAIWzb?fpHxqTHgM52u?2dBJH$$UbQpk)}!}#STiiAHReX%rHADbEP{8E{? zS-E2>w_Vu>$O72J~2^Xsi3xzggFOG97jdmo1)+WRk8bL6>+^!F^u^IDgy(-+e zb3VSyGNt2AciY1*y0)O#WPVW!3tuN<@_tt_O1C)>DduKuoMxPhb<(5pack)yB;($K8qFx~*mNTLj*>-cF6hVj zja|ZTh&mPH!N#Cse44LD^(fA$M2mT1FP)2c>^(f&*OnMzGVE)$KsS_@1X_%NZjO*&F^%ce65O0<5VN8&9YO>YOW2z@g^D!JJY_0}lRoI&ejk!! zs+)im;6mdAbmSGKF~qC_obsS*md0)cn&u|P)h}725=0xsi6d+m7Ow4HcbgabczqOt!ml6Z416k|9hD`!)<+<#wHX9hbiFhJ=WaW=!+hqr z*ciMJyvm}gUu1jjUh$>@;6i4ZiDUa*zLk7zlVe`}2*uZWohl~oWJdqSTWfu{!U*WX z`C3nNai=G1=XkzTT|0ky^`-d7*7FJmtvd}y^9F7=W(p%H*=8DY0aEY{UZbYCMkU#k zp`ojv=5B-ozRo^p0rbu1Nir;Dv9ktwgn_-S-%+S?I|@SI6+z7JAS`|KkvNUqZ&9Sq zVwQ1-+qIll6@BstcCJ?C0UMLMM@o^CZ%9WERj-#?H5%I_puS(f++i7WY zR~6Oqy%t1F8*VajG90@1Du7JgaY<@^IYkVzP(=xo>YGYGCi?i9V7+?e$$W z8}9}N`U~kjbMm{miEJpb5VC4a7r|OrESsF}i@qaSA2It`Q=*$iHjo|#Mr!HxF0Z8h9ViSiMUUOc=CF8d)7dWkirFY{m>jI2Db`Q=06eVRqhzpsB8@79n) zp7KTr9Ky~AiDwx^ma8NJ-QIv>TQHuE{t%%_xVuq>>J;xm(6wptji44m$(}t3rgh`m>?_PD^TCPXa78G$h1BO7NPm!%}?MREUm9jKm5t-nC}e}>ex`~ z#+UCapgGUG*3&-HmZdA*l#GeVGvDk5LwscNUqCEJ%md6m8SXa-Crt5vaGG~Ch{ zHne(kN?U_(?az*FiywyvbLK)Y?{SOl=K$58DhFTHeaOb{hMjgBj%d_P7!3WYYpDNY z;-|f^2hUl3XB_;&aY-A8`9Pl=FT+<|^(@SUm=NxQT~aHyxH=x=JLlLaCvQ|d5cW~S z70dd=emi#b$)uDl^AvqP$@R8;V;eFW4jKZvbqo<9Q(1C{hu1SaZtq!0mW82Jl#{{A zbx}>tlVbM{EKP*E{aQ-eN9e`vI=KTU^4*ib-{%MF1_$uBTs!Vs7HUk_&N;q! zaNok+Xn*Z8eOytw58+4UO++S@jv|8wD~rY(<0nCpG~_Erm6GTM`4%V%IVWe5CrnKZ z$wEEjWId$=!obgR)5qVSRfq|(%l^$pGo0g zEFGnTY=eRAe=zXdvLYdUe0PXh-2LK?u2XQoLzfZ7mdvS~N$=u=NGR&y7e~IU z#16;k(Xi~CMF@~AD%#wvEKeG}4P+=4z_lKK&0W?40Dwq-|4Jo55wua-`_l&~6-n^0 z7LD<(t()TkaLzg+B>kC>u&Ag#>%?i|6;0Bhi}kIbDCDVtLj2E8Q2xkR4vkUvRr;S< zn|}gy=s-u`(vut*A;%u#B?vTEiM|IXc*jMD97`o`D{jNx@?NvgBR@=+wAs!HwCJZM zfn;k35!RKgU&~5eCNgaGyh_LII&3E6iJ#6Kc77PI6md*uSodv4GqXtl;$6M) z9w(Y@!^xuc!~gzwUc!5C{ALDWt5eZJcE%f2xTf?&na7}U!9EyTEVbiU`Ect`d7yj0 zz>60AbVO^#VO|x|d!<8d5USL1SJA9zJ2wpNw_{CXaPNUuB2H~^j8-x^uX3R(a$gBM zIj_)hHx$sI*l~w*1qC~)k6t29`*0#xiO#*!qRGAh$cnV!A1xq3|2r3uSScCh$z)-;coK1d=P!mq`pAl&)MEu?;<( zdKI!oJeBs+STghos|Y@tLYbo+?#!?Rk{a0LFpa3VrD&K$ajMV=RaCh&6CCE&i$?a=5^TJaNbAd5_fIe;z82Hr^65Yr#0O3lU(3^;Bgz!#v34rto zPl2Q;4kaM93^j@gyy#&qKB#w_WGfLINZ7|RwNDbLlLp9Tln6n705-_15VH$*TSSS( z1qCUlAH*b4)ZT4NtgRoI&AojBifxdv1YZtd$}0(fDB=$i9y~B2_daS_s@0_?=6Pcj zY}1yU@TLVz2zh;Q=?0zK-6R%vNsJPm67_|0)4QzCOGPl+bbJk5oOoUQa8UhAmn1Kl zM7*RynC6)-UJLMf2)EN%Sa$}U=-6u97OW@o(peo=FkWTzpUWg zLhDD;k0S*yq=;?Qkz9HZV=l`ivN>Vw_wF-I`j@xUuv80%;u}le7|ELF_}cxGL8_Z+ zHx%Yoo1bMz^`UiMK!1nP+XCQ^zRXys!~_X5DuO1+H8=}9_njZtp#6%lCr(kpShrxU z7>RRb50^KnN!5D3GLlp4%DlBbdt-eVhW{OX5@NmrfXT0o(r^navb&5Oy&<}FQR58R zQ;+H#2)Yt&Cda~9>UuxI&9UsJcD2>8Zs_L3e5@SJLuDQ0HBzPFY;t|~?V8n5n7MKN z`+|ooe>6-9HteG5pcS+7y&%OIvu?FWxYMVv94i>*d`qr16O5%iSf{UFU6$GD0H!an zk-*ODD;vU4!&(?6g~*Q_ZCQ4gR1ZDhlOv`@%%@!2TIq9CYH zH($nEg@VWldlv_}LpQEe>u$VtV1rDkkUG0_UQv@xhh;g;1EQI6VkBZ0ffR@BuN}UC zp=6Y)|L8ZXSY{X1jgAcn@N)V}WD{L0;=29qTzEXrbpFV*1@-eR`h5m86pPX+{r`(j$UpL<)*+lyX02t-dRqmfaq`;|by1o^fvrJ_ z?BrO(|Ul4t4Y8!eNzR(qmX~a5Lq*F>r8#CU)_=pB_6UBmTAc9A-H*Y*n_pVLKBe z8++|uQvVy=Jm=QB>}2Z0pQoxxMf|`So~mI$M1g(ZRi_h67Y627gIol8pIEPKqP{Av z?M68ROK}HYGhlM8nu&k zu|fD0q-}Eqj(5W3fR}4yrmy8^KrAdgtNCAvV%-sBdel(A%aj7)m%lM=k~G^Y9}d@A zpfbzuKSw*?^?uP`%+wq15Q4EQiVMKMxM9#-pt~Q+v>jl_7}89|bMo9-Wkej89roo) zzia6udFi?uq$8>`V)psWb9=~6P;=)5JF3N5JD&nI{HVYv_S*noIjE=$FU33B3SZtS zVtZN2#?P#r>r|w#&?7Z}WL|O_P7oH`XvH~%j7bt(=gXqiA+!)WNxrG@Ia;0CzxXIF z-Y8yd&h+l3%xrhq7Y<_tH6f(}k8$RUm;H!=uXNIh@DE#ko6)mkhWy_I!IcBv{>)HY z%hwQu@Apk0j|&`qJsDSQLNe*NQ9_Kjb_WCJlWDr%fH*ioAFHjr0t(O;@$)E!dBtI3_-Mg?4sh7a&`1d)_>8zF^wfba2}~SFFA)d?iM!71oVcbH zv}!vQm>+QMo~+V=t>SnT$!P<<+7m5=!+-A5Os@KM2{wy-#B{k9r`lDG|g| zMOxkztou5xZk!1_rIg=&k$~k>xUR&0HDf>JOxlT+fCiOUK&$Fy-??|AIkPg^c`@ZHRH+jJ(ppz$1sV#trS^3Qg+{9 z(T~4Sd@|H_Hf|Kl0;<1q?3a&GbPlFz7I7J^58S%f#)UgwE3>nQQB3xQ(E%@P*%t6O zBA5bipjI7RW@*?FIHAFP4P`AiT%yW(Z>NY#hWFj&tw5SVtxu;6jPVDE&IzfqlsRpj zs}jtV;}z%l58CQ=2tDoA`&Lj?r;ML%1mm+W%V_8KDz9FDQqh{T5aT7}2StQ2$}&A@ z)2?G(cW?^O;(*Aj+rKOlpgY@;@y`+Mxpi&3YIty>bL=*b^YTx{-pFE_Pg*rrNHSFM zmD{Ot?-prGds8#!GNGk>l^Dxg>?csvRVrD_sXfMm)!%YF+?VBoff?&dvx z!;psUAb0y^4kQkwyC!6*(h`}pFE*nHx(G6$k!;iognOj7;_NINDfcS#7}Y(CwZ&4V zepOZ7A@|yOXHyG%W6A>a|D*9>%82wy5kDz9zc0MsUg%y8v+|4buc! zvmgVv;GG6RGki;a=o$}$4>xuA4KHesNZ`mTmm<53DNqFk*afie+bf7ZTMvoej~!8?=t+mRQj*IJ_>}h)F53t z&0CT*9XqQ8EDGkl6`?6OH5q;pKl=(jsN%5G=cLc_ey*9)^GXqgs|+Tq#5>NsV&Q$P zVe)GF0=(Jf+DQq$)Y)gpY!J0!RcQpNEdM$+1rYkFh+F5Pvu=wCg~bp{7qj&I=2A{q z(mXh80mLGc>LS~7SH_OU^-dxCN?BAndb2BnBE@M-)Psinz)+9uSf8dS)5RcIjfFG{o_OIcg>( z940D9UX&9^qx=-?1o*Pdz_Af@kyX&qgES;0|AzPT8{D)+0qCpe!;wL>w7IaC(#du8 zHR+}M$BsWKw)4m07+zcF(j6i$;34MwqGm=k((;kR=&D(mnHh1gTo%I(NgsXGl%RE1 z5uS0Dj<~q%p$~97w_6$gurJgwzp8o?u1ZBc?Bh4`g>;W&e;}Ix2DQVXsj{#pE~kse zY4D&fMCTJ9hlTxQHQ~_E{!GIcSMIj?DTmtn$e;j1yn}n>3Uw>-b+wI867P@eSgYcj&5ie7B9YnJaEx%=cM#nJH-A7nuIWs)9I8EOM?WPJ_(4j#-w$pg&l+o0&Y`{l_h@fE`mp6Vgi-tKmmoDf zJTl)0gPU|sSh2{iNEG|YBrRp>=`H;^P|76fWphkTiG^_4Q5v*A0U%L>^++^6$OHWm zP=m?8mQk+6cN#F2OX8!TCY{7CV{e6+u!#_C>iNs$=vkA2d4$Wf`U=5d3Ed#S!o%37 zUlLY=1+HQFN9Bp2ijsUGR*J!MxPRrpBH=Hxfg~SsKbVXv53@2*OB{yhzP7C#+_|!D z8XLs0FBCI^+7W6b5u(cliapw)SD*aR4>(|r8iU8Twt1@s&#x(jr1#k@iT#E0?!1V2|N>cCh$z)nZPrF ze~y6D)UK+l=4aFEh6=nXQOW!PY09q%7Br^jJW|1NeagzL_(o>--&ka)0%L{Z@!*mz zP^Rbu%tVWeHK2*hnnOgS(fmx%3D9r%jMu(u=Q`G1-|;uhU$_vzrVc@^*WeuyPiKxx5p4NDn0_=@;h6R!y1hPh5vHh4H&XN`{r>*kGXKG zjm0{EIfJEPXEbo;YmB=M}( z&X|Guf?#E$Mj_c;Wgcn5=}@P;U$NW1rw}bBfe$1No#4cUm^P%yWxcZPDV(?Xd9-IX z#()K%_t|oR2WttDX|wBVR{(kp0Cugh_&Q*jMo|8h0UbrYR<5K714V)V=K|85I`Yv0 z$0Txp-4cz&wHoAJpC~r$YFGd_75r=OYz6SIwr{CWXg`g7_+ZQH$FD@x+eY-Wo83RU zebGRPSB$*+4Wjhdm#*lLev}o$Kl5jNHp=t1JLzcC24?VF81S_-!0_sIavWxenb$^0 zFoRDA`d^f%+(aWK5T3CT#a^iPXW_TPkJ({g>U+ANjX@4{qIb?3nzQyWXCce2aH7I) zOEOg{cH#ipeEFiwrIlUhvR%SS*~|gspP{~`qoD}ac2U6}>6KMgqe8L@vmyBW)Wa;1 z$agaB0P`j27DtTXKeRKCV&iX(7AE{U6h@i+fr!-OPBlmA#~blj4WL;b0Y0c{#)jZ$ zEGOnSVTdanX6##@YOK;xkcKHQnP|61nn@FBrC3Eu5fKA*vO=ENM21O0HiUSgVa)PSup?y35f(w)>sPV`(Y?WuPHSXMO^5@n0W}E3WGy-6HQz6= zasS3@RXX&Ni+dNWRb)cjv&$~qI@DS)C^fsN*w|d0MpJwHSQbQif_)G-IeHn8#~@~i zo?JKRQQ@T<=z)===!Z*PD$vyefs#ruC?E`MR=-#W};yA$0Xlbb< zZagx5`ZPn>Hg1>~9&-zYQ#tx`=wU7ewZ&{9Bw6Iw44=eAjIiEO~{kY|B9(V;h!-_9H#)?$=%3##w zgwwuYA;IlrBU{d}SLs4OkAcgThPVkkAN{(_LNU!(O<^zBMh}B`v*4@-Q$qt$A(Rwz zyg)#O;|C6ZOCktuum(DG24%0^4c$TDZv7{&7G8E7r#H%+T`lCm5dXCAVJ~SuOz-cg z9KKS8FDKpn2L9&id;6uy(Aa*5HA%0m8eC1bAxS?3{jhjj(^WQu0epnEz6j2{+tQWJ}MNKMs67PbyY$*dlC82x}^s?W^j9jLf@YWs{?daq;K zz*HKv_$6GY-Zd!unS0}Pn6|8ZQ5J~$=oDf8<=Rr4ls8dLv6Nk-K z0_|(sM^Nx{j9Dp=-Pdc+n^QeeG^&TM;} zaE}Ycj+fXJly#fG>`_x1(Cq=ae&>Xdr9n~q-%z{!BS$K@2%)XkIZ=XWvELH6=XcxZ`t|#vdZWWDV%y=eV*SHQ$XS|gwa(#&bUU0k% z9G(6D*WOtM#qq8CdT<-u9YU}m!QGwUF2M%3Ac5cv5MUrkaQ9%rHCWIPoZ!KO1b274 zWdG09*=OIoYoEHczw9dd%j(~B)3fI3skhd2H_xhQY3j}1_a4YJo)g`}A%J1$#95XP z#|R6w>@zzT7TU>uOSRlxRUq(rY;kO^wakPt7bXWZ1=CGDdwD+BBlhnR(-i@wWNs8Fj1ABJrXFLM6kE*kyi3 z8UvmjYnT_u@j-}%^?;7YhF(KKtb5+@+)h#)t=KOz?!BdRrwsJEBb~OBs7>xVv@(`2 zTdJ6W+RB)U7e1nJOZRcq#jUnnW1rA0!u?LXk}b~x z>roVBOgjZy?)Znug?9x~2Ds(Mn)XLVb4X`wCx**Pee#}c>dS5|@;N8)^+B(bhk|jI z>h?d<95B&L8R@&5Mc%g%`)}l6e6m7UZz*e+O(Alv$UAv7#VY8Iz{pntl7m zz%cCTV9qy;mRK&u8nmF=ocCRTOAtsfmJx?iu(eo{-ifg5D?I;r6T&p#0fGgzqiehu zPr#Kl`xt1F@TpjSl$nsx#57u`)=znK2QS3_y4IzJxy(y)crP=S&I6ej72>b3C*d1O zT+e?Ywj`vPhEEL+5h(yHlN}^vYz(0#t++QZ(0K?l7?2&9!oGn)G8Zm4^R8Z(nwJyc z_Bn$~4kTGtbkcB%`8q(1>5_^BM%p|2;L2F}@xUiuW(p~!f=T(cLy6`#FE)!EsrT&~ z*xFebjS1cT9`ZtcJ3)u^)lnutz%q_)Z7(`*Ubnpk+tf!BJEvuHq$Q%kKmhy8p;>7K zNctFDNJ|q@_Q(>P7Htbn?`< zwFmNIgo8qAkm*=?<9~>|L_`(VM*c3b=}HhT-*YSZ9uB#nE2g#ezF~QZg+}(P3`YkWz5Vtee{wVX z)cm)%nY5OcJW~d!$!bDH;q#2ixw*nK9g}^131PKOFF!Sa930AtevX@ALp&Rn;aJ?9 zI~eeI!_eqp=F`&+37$)9I^E?t~?7WPzj0y5 z#T}o4HF_DC-krusbXeh|-U~mz@K}`aQQ@<+E~6wKRPa$na#as6 z+%M@-X(25wOBGCb5t0X`u?-2U19ro(?RB`_le)amip z@6@L$f&c%0uRs0O6M-iJPXwL_JP~*z@I>H0g}~o?DE}|}=^zY%^ie7I@3Wu&5v2ZE zpe@ux2_1tz*-!s^>I=#P>cNC&s0S08|CRlel<2QLq0f?ODRE`}<;j$Qg?awxOu#RZzmoO7H&u6ua5nBt3L+Z zKL>z{HW2|2|6~D5KkoMUg~WTb96riYjg>82&CD&iBpn^!n%g*lTrFGxSdT}7|Fai> z>TkYXC@E+QB?0{R`5hlS^~bXL|Fjv>J$B^JTWkKkuG7T=MD?F$d31RE5P#S~y|#{z z>vyoX%zs}$j{nP^EcdwW&jOr>0g(M$>j%+a2L?b}X#IemRcQTyW~j#&nxP(BXoh-h zp&9D2g=VP77Mh_RTWE&bl>e(+0H{qFnxURlXolL9p&4pZhGwWu8JeLsWoU-ll%W}F zQ-)@!R~Onps8<)7q4flsq4flsq4flMJg8?Ex*b|ipxb{6aP30ZpW6RK0v@wwCSpi) zzghEVcB`x=YJJ*>nX^+(bvRF&j5EWApXajB&C|uYFPJx@{-W>gFdZ*1%Id-E3rjw^_?l5D5yn&hoM&mNCdU5fNV|C-cV0BE$ME+vWAz zmAk>*HW)TC`OGiQNMhp^;~gi^s3KQ4he!H|?wt$l*88;$OmQi^Q*eS#^$$zFzRGs* zuiSFz9SiZ4}o8M36~fVQc2%?!3@Iw^O4`>P%^mMu1G7 z@Ok7A=OsGNak;h=%0$gDMWdgk3IP{Ej(eRFu+)ZBy( zW3BA6UN0>mMVoll9X z5a4RLSJQ?SL+CA%z^Y5oOEsX%v$FP9^^$|^Apl0i=l=SvXJedF1bpj+!+aQ#5EmC5 zc_zH_;P*IcF}oZX9O@Vx_|egE1Q+Dl*w_HRHCZ8CTL0~HwSpvgf$2tIBvKc+dn@#K zdD=cgj8+uv^mf5w6?bW6!}8|nLr4O-ZJa+9JrYxN>tHVj@w2zlC+&S9Qxy*$rz`V8 zfoM_wL6eha0Pp7jY$pJmH&SIZTs#{5nd+{pF{T!*>4c;fO?-e9$fwdqHO-{@+$005 zglZCY8T|R|9ANXaNB*B(CyxCyQNjOW(PM>H=z!QQ0Py!yaUvxbA5?YYe1Q}m&VP}}X z_@w?K@W92gV8vDaLd#-3r|bFE{iWezQ+dl&%|Xk;M(d(g*;%O-%xz0P zVwk%5odnI0?tJC|KuDW!f@i`=i8IdEsB-pelFqSHyf=K3f#`F1%nrA;!$<&l`nE8R zi3!I3$I|T$!LoI0z`oH|1JkmNieL7e_Byyhtn9Ue~2| z>Z3cGE0O!Chs7g`&<8%C2WVs1;M)V|VAu}0@wnaE7SML}(mIiz8>h)$KO>ytk^GSs z=Obd<|?fNvVA`SQVZqp6DKXRhU)ff6UFv@LSFILpPVPlie?JluB3O!StHrW{g*o zTxd08=grsnz0yNiK6Xr#8ll>OE9=a6@Z$%p*NOQJpw3sZ?%68%{)is>1h6%9XKI>v zGi-9A{134(y^c<&8PPcXyfcd-G9mlx-*=#GcX{0KT(rHlY;{0|+a)uT(_ z@J39%Ic+f7gj_HcvR+^155whb6aw~*Mfg*bfbEl)f*q%>wp(9K=NU9;`qZXLwz`w# z3Se^<8bsA(ko)tM>agYZ>w$I^%E;Sx46TRH?!n?l1WvveS|5VR>*mBf9qgD%%*IP^$}p3>ux67nv*V3_;xGorxpc*bkSVjifY|V< zm-wC8F1EgNx5?h-uHAcngRyCk&OWIE?5W`eO||K%em92)AvTh}XMGnn+Gle)3!sM_ zH^guJhrf;L?FrHmz0U$Q-t)!Z*L-VQs77dOsg8lC&T4V>*XKB?9bvXvOht-unUlSv zRVm!(3J-TKQwX@8ezsH|wThIyr)gknAp&IcqxE4pCP52U2`+?pJXt$asiY<>ffKu` zG&Q>Vfy2=Ec24o$3Ym8N@PgNfup| zxf&W#YPC3)7^V7ddG_6<1{IjuYZgq;@4-RSq7hUf4aK9Rrigi)!7o;MDaV+cmxSGdZG0WU(Vl`5^mQNo(O-X}(hfEBizT!A6 z;QMe(@);vPOl2Y5+nw)G&GoZ|@s=sYuIIbqXuVy(nkP4bi9eJb6|(o=3;{c8W%n+= zcuZ=X2)iT(Xi^Am31;gdpomp9R51WUp522Ii*RJzS+neBw8{oOzH|nJcX5m8pjwqK zv`E@~EFHLfw@qAFtD_Hg3Kk}?%;oz5L#CxurX=vOnVV4jA(1Y(r;?xq&-HcCPx^`9 zveFE_k(w?|6!C#t#T?G?;t_TIu1{t7M}`VudG>Xb~^@%UZ&%`WtfitxJd-DWUG@&(mi z`LJuEU-%LaxCPtbjN#-%aHFz-`d4wRTM8A7@Po)`M#k)v0&;Dq{eahFiB9K<3g}|1 z>MBa2(p(;u#FONDZ^ua1DH%z?R>yXErDR}Mnmt2hZ8T{$@@VUaP!s)HH|0`12UUmI z)ty7!DDbmZt5yuzgC41YQlw%h8r}f&?n**!QKbBhDjkCF_H6@Ry=dSRbTBSpe zHP;qWBS6M$(i`l>KuwQS+am-OH+p^R<&|tuV3x)*115s~?}c0Z_S0seW%rH#7|&Br z^&z@GPH^w^puw^i>Hgk9-1$WL%5bX+62#px?!I#7w~wa$1C1zwcvy31+JQvP4Z&gO zLX&tyvXpdVR+oYMb{siodn7E|UTa+HByl=z5feeoh6_-%m#eghRkqDhDa;}u^c>^$ zdmA}4!LE>Nnpd`Gz&ug24UwU>Hy*(jn)C`4Z%V=1o5$)|1Do}~>w?auy19@F#WF%& zWuj@O%VysO*Qk_kRxRW=zt;g#tq7w!6DObmP%!a4eZy5_%PIoDJZjO-JEw6SCOu9B zaTTJL3T4r24KG^R`E=1q)Oba36iL4pt1OFGis(qi=1Lxp)z}=uSCIt5`6!wa^*cOR ze^pjBDlZ~GnmD=E&m!78qdYTRbYg1-7o39*%q5zm-Mr3 zxyZ?7j9yB6O49rlw!nrJx`aWo{;q$$Af5mZCSNw}tkn5}PQdWy=}&+4M&!nWC7Y>N zE;U@7SMPNY9C$nOl2oK8G*R;QhU30yPYKuCJ^SpZH>4b!+es@p1n;q&6f)t(M901= zPmWeuF{9&dH4z1KNJnYx?R&OU*P}GEFFoM4&)4}Yi~}7cNZZbwS8t`OMZ^GQb$Cx%`+WvCoVglFW9`Ey9*5?~>ET9U zog_3U&_+M(D_UJ?q?yV7#QD6)RsC_AF*h>lV4X7P8RfFZ4(mG6$Dhs@M2LM%4*n~i zoRzB<QX9NP!t#fYX%mM`&vX9z!qBO7b)j+pi^Y7GfKI$O=X$_};hqe`Zj z6`JVKVKm^qbk2rJ&n8U+o3&!NY^#V)FQD}ov999uE?c`5iNM*0H_e=MYM1kE-r>Kv z&*&|)of5ZoNG!?cz*RQ5B zU*1Phr7jy+Sb()8)$x;T0oT~`ItQ-fq$U$-!7IoSILy3STrL-7;<9T?Tm?^3X^uHY zW80u~wXdFbaHf>87LTD#Sh2P|P92gYxG??_eRSGaj$=jx#>A;{^^4kTf>d&EHj&;s zRZ@veeAbsQ*Q#BKWm(DiN2CQjLgbEoE0bdPX_!LR2M9c9wbODRYme?r2$yE>u@b_f zxmzx#t;R=AWni(cvqm~hyxe3kIX<(ZqDxs*wNkf2`o)Cr&VGSlj%oYD9@^$GYA%yy z1pCEhA3B4e7KvnbVwJ3jrpi2So#CQZVtCKU04mR=(U*IIcNDCIA-gn1*F4Ch3c*{< zIO6eJ)^vGd{gh^4(zRcxn+C5uCdKhu`MuXabF1tI<0_YCa5LUoohasxM>vPb8JOpQwoKj(k zR#xLh)x-ZguzRzp{0!KGscm6Rs`t^9!^JJ~jc13rT&GIyPlo7xy5rq+YlR^CIvjA^ z9f8P5uH!acZ1ZtQgk)a8-2`0-q!40fRUp$=r!pEq>`80kiJH(PXBtph`8kMB+DP2k zcu`D+lvB4jgqVbA({x(hY-J5{?L}m19ZJl?%fZ3JpN|)?f+Zgm*bx}c0w^vM{awa7uMbDljZJl5%t378X3%}L#*TiL|i)-bbZ_ne1 zD=E?NIb)TouBu#gTGVSPDVfCLVBU9%3L0?Zqhk|N=5k>H5E95%F~}>msp&d7ClgZL zZwlwj0&m*nm0TVG<0S*5^Z87Yx^2W~!bKHN?${YfdLp4i6u=*nkz*JWmXXn7;N_^1;wR#K_CUZ)wR`CEbQPg z#{PkUKGS17y%$=_A6|9MB;buWhQ&5Va24bg<-B6E`HYH;{2P)jBtH}avdAYoNB15c z3TL+yh6|)IqtSh*WQ7Um(bF+J(9suAHI&l%t^XTONJdgpR!B%%2Nj|V%b3?N zMj|3c^M(EZx);x$e-EbikBTyu)0HC1i8Uqa9vB$v>k0&&&{`nVVSH?~w{PfRdKEj| zRf*U%dK*wAR+@YA>t-KQw<9A|2sR}(B_%zz8=`g_g4ENhGOP?5*U%W(AVPi7{rzj7aIBhc_;H9pL+Z6XWITlFV#GC`-#94fhPh_1fB>y5qKi-MBslA z@R)rQhpwohgV&?7m0PRcO5hyVVWM2G2m!s9u=!%LQXS9_Yc|FpSA*<;n@hDsAqOhb z_&~dvE=FwWR$`A}p|9rL35y->(Ca>6Jzwfms~ro&a`vOH;bu0;;`JT8+UOd|JRsXAYEt?iIHKXEGKEe@}l+DS!DL${rvKWbS8_%kv zLjrjmPDc1wq9|}@Zbpn^J0f=i=j$;3GUVyy!x7ht1k|7)RQq4#)N!AKPG1MCYUWcx zN+3UH+z(Wh`!joG$?%Q@sTXIbzBL;0<>E+^AW^z(Qw1;rCAC8!lz6>I; zek8$g-K{pBOCel%_-Q11lcdF1acDVTCeX`c_azRy zJl?^~a;v_Dw}Sl1WakM^BN~?w7WY8lQHCKzn6$v6qV#bFhkKFVOubhaBGvslgAZDM z07{F1Q#IJ@tx}ZFB1M|5_jXDH*l%9@KpaH**V+w)qgssc+s5Eo!Vg-M_@xv19nU}M zR(V7UXbWu}r_T7W`XHxCW9ojD|9-MtY2~!1+7qTgV_bm}-PqnVN_xAdwtDQ1L;N zIxVu2bHK2U`$p9|-UiptPYPZ??xyR`k7Gj}GTo_tuwCINf0wla>bs_#9W!B-BH%zw zfwd@CNoY5VudJ2GY@P`|Z$OXqc(v9-t~D}_WuKisfwZlJuo}+DnCcvN4+)@D?oG!6 zj)gYm=05+8MKN|eCR$2fytS#GF1iP+L%6F_rXB9~c9xHy8^oiRIh!?Vvq^$YBt!4R zCXhkZOazQj=ER0ymo(vW1Wp*alFW8~x?)pBDX5=R?y;`zqW>NzRwud^1e(0k!y9Ji z$a8qxAN$&4&6?OblVNkWXin)9S5?R*Yf;SQwqL-*3+xXsWzeo@!wi|^zvIcT(%;jt k%NOCbCLhq5h8-IsnitH4ooa<&nXc~F={%ql&?}sy=73?5%CNIm9^_ z+1LovY5Zq$@noK?BK|xP?Vp+HW^e7u$nD0+C_h=r#QpQ!Y}KiQgjrMh0p+QjgOR{6 zaU>*3m|(`lPFN=~bw*HfDyRI+37;9JNT;fQ^~ows`0aCozass!0_$&|5&1K+zdU69 z-=CEFOJ4u8%r_~H|5^XXuHh34m^TG28wQ3+wJ|a zGf~5&K2c_zqFy_DHi5uOa8;QqR{i8L4L~-+G`#;Z=dzd}Wg-X?xaj|cAlI;jkkD|l zRcvfrXk<)qLRkFdrKjeEEMcO9)4H6_Cm3*POkkCX-UYS^$XhvEczF>7=qKpin(U*s zgNu!;mxG&Yke8K(vkifZJ^>i%4OpfcxLUZ_Owvz`XW~CZWF;-qNB~bf66XAbACu`sD*|D!>WN-@HYq%w$(mn%ye#vtvGww@AuRZ5(HNdG5L73d#)b+9 zx>?yfO+i!1f@!j0)z9V=1N^(yJEgkCa$`rQ)LYEJK%U^k$n-zw%e0!O=g)LLUC$&q zF&I8svtQ;DnUg>sr}ys9=haj%zpP>7pEzP-IA%H}j#|bkKGQ&8`fVUMOt$<-X4aI1 zCgk#`G;z6!OLJLI%`i?n!-a5^vOx*^rxBW z?BL~15TjpfV$x3B4<-!^eZo)oXF8wgQyn|~gPyeL|9@WA{)@5>z5JHr{*nTqWwgguCJQ_Iz9cA*)R2N zKSBQUPWnszG@qa1`=x%GkJ=QwU+Sm%Ow5moG=1G^J`?j~B2Cv%^O=}06KT4Bnh$BJ z`j`4?K9hFv&*-Q5=>G-%G#`WCs5ktLdZXW{|5;7Q{3|zw>2ovrj09#RFe8B(3Cu`f zMglVun32GY1ZE^KBY_zS%t+v$C4ng~k>H>Cd#4?K)A>K*?_E6ME~O`rsq7c;&%e}x zKHxqrzfBgX1PS zOnCk$I4q5ejS5?u5E&A*C@ySKY+Ph;41w@|-g94DPkZ-CR|ey>--b^8i-(QwLY_?1 zKIIAilW98tS^VjO{8{?#jNa^*mQ$=%>At0NvePXxWghlS`X|{Ydd)|#4plw()1S>w zAK+Aaq7*GZNyR=vH4y`(Q%%T?I-pmeiBXR=X4lXSb96#(&d#nK}q*yvC=biPvs#@>XIISn{Zk^d&8wfcr`&` zGvz*tBDHG~=s`pR!Fl3?KuC)y%pl}WP&g0>6EVvX+t2$6yb~4bQzEkaeC-HfA-zoR z+hn(>CbAa@=O!x5r&P*1`+Y6Jc%q5vg#HNxSxfFWq}RHE^uw9-uadx|{@H(}%wMVL zS1S4yDt@KjUn%ZaX!;c_euX0OJ)evJRl}O$`*%vf*52CkmrVqdZFavCRA!=Ep-JOQ zx3i&%Aqhb-!So>Cgz=?M=Sc%>=jEcM7c^nL^>j&ElR23bWanvN6=db+ggrIAeZnDFGl6Cy*yg5p=i zCxlJWOxWrPn#ua`xUeuLdbnvavK<|q926QxzYT@`Dwh7&hA@xLU?NQnVe%?radEM6 zQ}@Q{3xq{4jf{(=-}IR1@vBLq=-AM(sQ)ho@JulZa#hzE5aVp8h{E zs-&>E_{i88s-9-dWSE{x);8AG(~JlW*Qe@g>youebfTH`Unqg8Rc^<>EfzW*Elkmv zxYPeBTKMmehSC>O6B|o@Z(;9=@Zf}Kro-UV%ed*X8vWcqw8eo=PuO-OF>-Q+$vQFJ zdFeIuIJx80()CYqasyZHlT#~9dYpGMP3dTQ9r?48o=vSVW$8y#6pcTFia$5C5T^6G zO8ZAstxim=3h8OW+DxQ#ic|S?x$@^4b-EmPDQI$!$249nwWrQJ{Yk)eU}B-kL>~)r zVy}UxjjfHRjjNSS(BxhN13J}2&^vN!7nYR^dd{wPmRm;$aaa0wM@3v4sW>iD<%VGzbeiYW+X5pff)(RNZ@xT zfmQk(je}RruF>X}a5=3RpsmaulAoVc4ZpjN&U9!-0{?&ngp6M~eB&vF7drP?7P8%d zISL0mnF7v2!OA8|8R^svzW)JP&XE3oB+x3-v*wia5#V;W2;Vq%7(+&1D8AdU7f5At z{tpk8f>o>T(F;yl`1|ScOiyMc@V6!K#<*|LJ0T7(`87+_@#@pum&YMQPBQMj zXFeWLSTk7KunQMhDnZ;i})6up&qWL8iD3WcnA@?3T? zI8~Kzxmy_n5vB`Ig^Mi51HR!U7X3T$@D^V?<^by%eE$w~H`9gRmOw?Vr)|GuGDx3v zvpdtW6Fg#;Fj#5kK%L%$`9~jQgOOU+lE8$W*sUeA)5cm7a>Dy%yao4R(ZK`E>wU#% z@crAOojLP=C;?5OP$T{9#W1`tJBqPwE_^&Ezt=n^5dkw7Bl{waQLFH5y!v&g z?cII;SV?hW?=N45pCjzz)p_G!Fz(X=`x9$t*5Ch!I-I%m|CE41{YtS6vH385q~QJv z!E_Lx(C`~~T2Juv1-HV?IRDG*+T7n+}0gR%Gc z%+$@Zz|S5?N|})}`2L?Fo~ijikU(2dMefsrD5zXjd$?#-5?JJ!&3Zvufqro-7HEn9 zZY?w7=|7W%+=>H@FB2AH=?+JISItm-b$m%%>s1TLx`2PY`sDvWmou0AlLRhMJD{e*MlKaA3g2!ATb-Gu3oHx$3DZlDi=Z~F_c)2g7g+oR3W3RH46fCr~zg-<> z4?Nn}-@Le`II}+aH|lieQUroY;-xOtMd6SXQ=i{=UezQH%t7Aq zV$Z{|I#?mbd*JPySlFQ&mpxd&5OcYf#((HigHPMNo-N&PgZFqfNlts`ft4N44rBgs zsC9hluljZoswcMHW2|3*-g|d7n#U}i!S@X4{yh>9^dhVJ&&9m!QqEgdyz#+_yo*^5 zA;>8GO{Hdk2prJ9rg>wh1VE6lwo6J7e9chhFk9}8C&M?Jd67fmn{MYOk*bBrO#G0@ zp&SgOv$)R9e;f*PgUkE#@43Sv-sbpHO-p$EENbr~*I?LNnmT(+%aR#<|9iCihrPuSS7W&XpM0&R{2yJtj%_YIpq`|OAcGec)}B2zEBvG2H1pOhX>=}nZc%- zg!!l%wzbQ|%K*MtURatC>pg?-KP>Y8wF7_b|J?hGF&T4)Z~LoC1%T(eqv^LdE06N=6?jx9C$J-0cD`L)TUkZh2$DcEwDwVOL~Lx}X`m zBXkDe|5`Qw;kXAp_;Ze@<(E)SyW$=Z1D(u9LnwI_x+2bN0cO4Mq_Q4fID_v$90LC} z18%>+UBO+K0<%h`Do^zRls$g5GV!1rutm<@8+KM7R~W6)H1UpxfCPbfC^Ck?aZlw` zH5c$$AtN8IO$A3CMS-(H3qZf(f#5wRAB^UaSs5B)0N;i<3Qy)x@w)xBHTwpGFiUTX zd2`<8e0HIw4@Y{LP_psyWu$&pBK3*&Vn(9y}W9VhaqOPi0#U zk`a#2y-ETjNL_BRK$dF(cvmim7;{Z{vh&r15M2^Y?lab_q+Rmxd6P-4=+`ckz4o2uQ>*@B-hbHsbn#cDR0&!b=$GEx5jQ#$j z0P&wZ&gO!EdF)Da;B2_f<&JJc5UFcazg6o4j6G^X`xcY&Fjb1U$X5@(JsoXIK^r`% zqjM)l$`LN#NZG=1*B6(U^f$D>)Q6N4<#$fSd&1Mc55@|m_noK!SnbZ3D`XIe(OKs+w|@vg?$PBtl2t8d@crKo$bZuKl-AjuzOG=0NvZtQ z$Yys?tL{AFxhw!Rm`O+O1=xciyR%g}n-0EtWwl<8{ET{p%VPsPu>lvR7>NtlJ%PK& zSI2|mhY#?vFXfymbYJ9`xU6jiF5?g5)|8U5jsHY6rCJdP4&UZKjq=1KkIzg#es&PF zsl;?wp+C6YWj|n^)=urZ_Q~^ch$XbUSUo<}WkX-j+!d(RbA`y0KQ3%z^u#j#i z)rUXLZnOfMj5piti#ykhj@||BOBC zsJ*S)@KFtwipiJnNBbc2vwe5gI+;LVd`-koc}pm`*t1*oxC5@-c#v_4=_oCr{U~p( z2np}2wS3KWG{Ul!raOH#h7i`Kb^efwE-))QoP2eVe*H+}E+cKH8GQeL;^4onxjU;Z z!9VK)wJaF}2v+a&GI$T%mX8vr>UI zxEbmS4H!$HS217j<2o&vr=jIp%t_S48Of$N`zE1xeq;UtTXuj zU*h4vrJ3cb5VsApbijL0W3kFERWJxo3q|KC4wcKl;`V!<3#B=U7^x!23IukG<64P30PnvrH~1vTwIv22la#@|!vm zw%B3wtSTz!aT3b7-WVE8c85x4r`7XakN=^ zK3jl`;9(btb+@9B(u`oOr}>tE4;08YdD!xvxpowgR<)i-?#NSK=J$UBL-#`_{_c`(8`QDgYSP37ys$xPvtL) zu$?u)@e79*#X0N34a423_YxKH4kbjbZ2=KZKBC33Soz~|)<*(P^mVRqAm?^w76-W9 zWZPo-L>srr?GP`m*2QQaA2z{TZ-d7e2A9X}MMooo%A@y|XTTQ&3j@;@D~e{cUU=-$60|C|DK!^S>wg+tUjx3=A; zp*HxTc*O;39%fwk?GVF<_B+Z8dekvJo@o)QEH9X?{`5JxS`U^f zZeAnKD+hXO3H#m7Fu_$3*X_*1*5Dn~>vz)00!;{w8xx=Df=oc4n%!0^R_NR2&vjBm z{{5UoNxFum6xqQw&rtQh(46QwH57(r8s)jaj!>|BoU*Z zUp}mP(;MA(%esHzGz3qVHxBzN^igH$&dk#q62Nk$_tPgaBHVV>Q2%t9iq)PPUv4W? zFjB zOVdq|S&n76A>f-N|p3e5k+E*2}zD4mK`49jHD^28Pq-1-%bRNTsUU^RQ9j#p_CGD=Pz} zZ})zKKWuP)XZE~HWDB6U={;~x)<)Nspd)kpIHA|_&ZYHw)~J`(&oZ+5GcD%mkVIpP z9S9%n+Rpt*A0*m!w0Fqa!WaE8a>9q%xby85&PSf&z->a<$bH-cS4Ph^N@__kuT-6&-Thl{$}_!rLuU zAtE-u$eVt_$}o+LXN=~~SJkqDRP{#>u1UH=LT%e3^G7r5li$M2e@gwL?6P}0XU*Z! zrq`RE4LG8m>j_6m9e2!MZ~T2lfj9)%B%Q15Q9{qgQ@bfr7HIhSawz{93S5jTU}ehG zz#okVY~YR<6l*;hxuh(LMRA|%Rn91&@%Bej#m(|yW($m)^{ik)NYMtqT3H-=fArvm zV3BwcbM}Va)j?s+1Eg0AYFG z7yD{CL15(4Naqm~@E;e6>!w;_|JGHrH+)k8^*5ttUY2Iyc~72XKdy({KR7-WtF;4z zyLn|TpUvR%tTqvGL33zpTDUQujf878^IwuW%%P4UO@{r77H--3NnkB~zZOsLg%r8R z9HP9e<#~+_b z%`3F%`>Th!0%>WMcr{?#f~Q<|V4cqE;liW`*ZH=ys8&;8ujjRv#zF}wuqN!u@Rf&y zZS$RuZJ|F8CXjsP*zrDUmmFRkqnYESk0Sn=N)D*f%R_ zg-1joFele^!(%cutEY`rEz^bcCpiqOg3a-?{pe!CH#sy~GgH*a(3hT_{w-A;_o!ak^({dHPgb0( z``*frxgNy}zV6q>mhXEi7<}m8L*JimJno|bQIA#`TDKbkvrS3Uny2#6VD0KH&SHvf z)w*X*^8pw8+Os;p6ND?3+6?yuJhpAna0cJMcR>H_UzLa;d9Ym(tE8gU z_jl;Snp;Da$&%*4vT3`-^QXe76r3!d@t6XOi?0< zdRyLilL#+Bo6C@i2)78KBd+gMFt$-_5tFJkynXvJM#ztdZTER|uNo`CnTySvDd){G z%y_kr(}*%0tvT1*@XZ((Wn^91^i~BrcKNI}OtXTBgXM*vSp-2b{q-U7P7*9%Bk(b_ zoDU<6RqqBl2*ML`F|~Y=IOdf4a2)DzM$bKJd=Jj);L_4T2a8%cJl<1tQbR-$o7)&y zjoKPwWlV1LuEi91kRrHzSi6PR>v@m1+(s9qV!l3>W48bY^?Cl+`qUxHblU<$OKU7V zl)LFVKw|D0j+@(BCE-8t0Z7T*e+dkW}yI&Qphzs2A zMi`;i29;%t(s;on&UTP_z9`D{-oEBIM@kzcfo2B|U`3x_{Pkg%6w z&|S&j1m8W~clNZpD(+-H>YVW18v7!xjdkZ3VICzT6QAqgw@A10^DGvq82j#Z*$OSx z+tVhpMx7bY={=AW+@=RM`}Z-VId`K*+MU+|bNft)$^L8v||~us_WDlJ+}S?;o~%!OQQQIen3Wf%S{p zL;Z=6Z{u^#(^&vPG$gNIQxK&KIm?9)n1aEh7yTo#jzDNzxLw*!46_Cbsvhm>qmAua z$ChA5f$)y)?ZR8s@zp%@T_bJ=SUV`4Do-Lo@rJ1Rq00ecK3rXKHCi1P-@UuVVy+Or z+u83yy{?a;k8+=woAJx_;6ZZd+p0DsnC%WRbDqp+@?Cx^3N&P~pwuggoh8hhvU zYvI+-tr0X;7kq8q%=7LTji%5VIJAPI2l3K7m*`z!2fc$1Jf0r`XqFzjo3li4)39U8 z><9%=HC@?NyjLDJ-!nLLHoS%QDtq8u$SDf)m@vh5$H<~#)bUvTd{NX}czY2f(co`Tx5fDw$hP95gdf$O{P#C(5G1lc33x_T~>$kFroW&AA?Eaon0`*1)B z6y>&_J{Q7-6mU7#I!bmsN-**Io+K+u@`3+>I8*ayBPvZzkudQiimg2{&L6+wIDFk(kj zO1hjZHomZ+9q*Gz>7v-Z*Y4P0Ga+4Sb{zrU3~T=2KVbsT9$9)nkm#Z=+Vg6mtv>~_ z_V$gxRhNNm-)(^wA{yD8|zF?nP+{GeWr%RJer!3PBmDir5+dU#{oqHK0H zGWZV_Gx%-PMPgguMWtLN{1Bt&e}|C@exU9AV4~9C(D3zUH&e1J}cxZ3>h;YrogIOt|4r#q8QNF za!5Rg2~|boT6Z21#a&x$9&cFsh4!r_KJnfG19YX?hd*vQG<$FCAmb1=_sV3-UqrIWs9 zDN7A-OTV<^DK~~t{LpzfuG%pk` z6V#JKM#4Zx`!i;^*BpBNQn?n0UL2ao+irqm{bq9SyvdL}ps@4cT|1~!QssHqE{l0- zw`k`BEOFfBNJdbb<_y07kMQl}U(>R8(P!#WwZ}oWy+%+!w|}*C3JdBUWfNKH_Jd~V zm>_YNUmOPf4xj5)WdN0=Gc6sBfI(w6R?Zs@;OV*#40~^paFb!u+I>N@u(_zWq0CqZ zN2xD;o^BJub=Pjl?&Bq5V}3=1Zk{kKcYBiW$4SBNw5|bvdi+FgWhG zZdYM9t@K^D%HAT&6?3GWsryE#SAy5>5mLRu zcCcWnl}EIOHr%+o$g=tk1*9$>Dvrt~Vm~L_r=ay3VBnmbVk^&%7YfNVw`6&6YnfMk zn=<1+`FF#+R6nW2d`JVW)b<$2cxeH7xm}xAp&TgaDZ0Ps5Nj-rY3ix+?Tqdfn3dd-nwpU68AyX`! zur85|LcFSv9WwMGPcPqzc1IH}6d6yt@@v4n)U}^X*QkQSb_KiiMqBziKYus%hb6r0 z)%1zC7Qra<(I?SjrZ^BA`t~^!1=5Scj-~ln;7K;7b(zJ|$Yt$&wOEHAvm(f?7Gq4f zWA*&c$BSgqCNj=a(M<_YGgKQhY@*`TV|#1nC|coXo?DyT>x^-h%aa!;R*`TZNp5$l zy&Q@^%`LotP7A1=hQy`^v%yR(gOeO9hAa8F4@>XWgW}@SxEF@@u*QI?UnrDe#(w{s z04~3~z_;ze@lSsMS-pDYOt08>o=sTps0OV#-VBjOtv|- zY+<7TragC>M;ITVE;x|vFH>fKZLcjF&Na)ytId9*vAJYCB5-&`a=uQkGTE~Lu4N2p*sceT1&n<`v?$wJtzu7%R8^A_$;CW3y^-7}tU zdZ5B&bK{|kGTLi+to%x2MSV}zQ28(=^mk(r)?A^FJqgi!qGV-}T_#q-4qwt-tOmsk zyWOECSAk(JK@yL*byxDb8sjF1w{GGO_;AOSlm)YEbx~*i?FIF6Mo50TY-{050QVD2 zUw0Y3p*lQjla{{shDK=;|HgPl0QAq1Om>^7Aj>lAwjf(oxU~Ms${ssDJj+#`maQ>N z{Wq!i4||ywN5d9b;n~m|tkrjqM#W4QVL9G%J(wr$2#un`9^rQL}Ft=dZ19lFOou&Ou zhhG8*7*2e2Vb@27O8v``HnSmNsQE+fI}1GI@hmM))(o-=c;5voT$t(G0s%SLOGQt0dHH4M@GnK3N5Sm=}(1D_sjyL948tv&-5 zF&gjNls_Am#P6wJvTYUyYFBd3UoVIexqVmfEG45vRAdf@ibE%HJcfM56e-*Ir724k zk>U8IjD00!+@{|7Y5Pqgik2xT4LoH<*Yj52s&p-JH125R56uzkKBHqkdUqAz!kyk4 z2^Im|Gj{Ca-ZoY|v!zTc&PfXduYPy7cqRh{YvU5`&HYNP+!QQD9Mi`K38JSA2Vc!K3E#DhA>H=D)7D&dR21=A`Z-Sr%)dWw_3EFA&;PUGz3+ilc!X{* z)y<@~<9ntlgswIh*BAUkQ#l%5xWR@K7%U^UYm?Z(>h?p2{*U~SU6G;Fuz&|Mzq>zE z>d>J7Zli|yot#1HwNc#;JA=p6>~3<1z;ZL>Tl^whpu`A172D_3iKwH^ZnbWfmqbV? z;0<u6Dj>cl!@CD3l`dEveyE2Q-XoR9NYw<6wCBpF$c)IXmQYvUDG4VT)ILibRfhFu ztl@F%NpPTt<6T&r22`&)T(P>Fgnn&u6vkW9xM9}^$JRnsxYyz*d32sEaK2gO>u#Zm zJ5?OcQ#ci|zO`M{FjEy@+qvt%= zfDO-o(( zCi&!KuidBxmfT-^fYq^qdSXaW&ExeaTK_Sh@da}7u*XfwTI8z^9_-`3e<4f(t?q?q ze%z*lwJS6FeKiy?F{1yY2t9s*e52!b-m@|H+Q#+y)=K!KVDFn=UrqGd6yr)+d zOEr5U+kaSrihoUA*(x%e94;!P(Dy+dBFSsFFE)m^0W6JvYlJZEOXb~n%MD=6hh0k8 zUl$rj?u9vIt74b(C{KBrs(if3PEGb!z%@w~q< zBwr+eC;J>6BR~KPj1Pp{C>r89PUWGnI(b+cTi|;^%>=t`L*=(d8A4P|?^#*la%yny z4Y?w2UXYU+`LS0}6+f}PI7Tio!t4Di3T3JkJml8q{;`c4dZKCHf?mi&=5?|4XI7JD z@csXZ?ccz>MO0E6KRxhP z2i3P#anAL%!J|fPzN&U2U>qRD9o;MjhQS3AZezW)vvqgG{r3~$Vd>IXi4VinOtsa| zOw}0RCRIk?^3-SA4IiclRa0UpL z$v0maCybF?xB6|}4dC&M3d5X7M7VCoUD*3Y2JJ65t_++n14nkGnymOSPQ8@#x)P`T_p}(z-Yvm(lu#Y;QyKkKdKIhq8O4HH6uF>~vajPtZ(<-`_ z-ZF-zR}wAi(p8W<$1WB%qi73yuH-$-B}aN z-YIoLkp3K3OFg9jMfC_!z2Sf56EiKUeUKW)W(?jc*(yW-ZRuV6`1qMB> z*F-^x(;h!ae?L^Si%&W|&R!JVoYSiyh%pJh??Z|>A)HF$e)V(~xS!5z&2Qxajix2x zh8!|bBHS!9^7aFD*xZNkK137Wlg~T%ZZ&|)2n*wQsh3m@4dIO?&YDp4Zu{WdkM#Fd zZap3$7d}FJ!+CkO!6PMjoR~I0M%NUzBMAe0JcaSzLH)1A6^gJY9qKc=^g#dRg#*h* z`)I{?Yh1aL3}NG;yTY5DO~J+>U}wX6A+TeW)@@6%MVp8ryNV=1`g$pG!SWsv^s!=6 zy8qS&&xK@0($v(^)wrwKHs=M^GKzEH@~9rL+Pjo36%xfS&c_~~5R`_6#8-SFX(iOh zqIL7WMQfs8=%#WHO&wSqrQPewYmO9Ee}<^L2KXs;{lK+yW0VLQOJut!kN->c{$ZPG z?3TEvPk-Nrl$QEQEhSk{@{sS0rN?I&$?Z95{u1aA7I|AJhXhXDv)C`L9H+f%Y3Nb9 zt_q9F1TTqc2>{vTdiov~S&$>!ncZqvh2xLLGZm0U}mX1syMu9aITs6BkHmEM0Yn2(-_z;Ev_*UroV4+T}H=#6U@-z3+@^+z+zH*_gDJ!%7<#G4FZ00a7wkk zxc18!Eu}Vj?X65bWIjbOd&?^b-78*;`<_&W)QWotsRxyCxYju7NEScr>L0(G>?4j_ zDp!4N(juTq^$JFd5i=MQFz%2GCV{)aG1EPXUujxP2A;`rNWreU{qGe0%&>tsmEYu$ z5CXHtXOkciJg?>5Qqrt|{A*a$zTXzbxqZrQ-{^6G4gOxP@0QEL#Q@6bPZud5?CkMe zPFQZne*c{_HSowag-}BU;3@YTOYE1xB%1@XlsgsR+SitB@gs(C(nY|e##IoTgil|c zS0M*l9!cK>awVZq!agsXQ5_<*tgl<1)Pd5hUCdn~N+4L{LO6Co4^sBTTgXSM!IB6y z$5~frqu>ic9*rnHxIpgxoU>RKxxW~71$|J3Jp(&CteAG`76vUcFF98Iy#_`tXJpg zNJQuRn~pwKBZ2Y_A+d``88COd#)+?cWU-$at7jWY;I`%Z`)m5;;qbQG@x9$_(9S56 z^Ceybudpx}CrVNAnZ&=v{j|;;p-$$=W74pD-&h~?AmogCJ-%BxceWM+* zx5_T2zh`i>PFf9vr!KrzIKMnpgO+ATmPDLtYC9yEzgoct@z!T6-%ayw%{&7l{Ul zAc4v9^*=^d_t8Rjt?pI1HAFpRD9G-SBnJ0W_GKB#eWjHuBmZ+775LF_mLokb03jaR z6Z&7O;`K|*`Yvq-v|1Qid%sf-9ZwAIbFjypA=+rAbtbhzK^wGA$SiD_pH1%)JM?Ducrn^QR<%*bC4 zeLU)87{j%oH1M548>7#4{=i~2}^e?!2q z-8`r7AE?E=HU3SnB;nJW_a^s)& zytch+xZYeF(}~R2+285G^7YJnce3+f*?QcWwL}P2qFX8~9f|P97#K=l8A5=?r&;CN zT2RlP(0QYBoEGC!(@bvCfGXbC5fQEQ_h@e3W3eb$8oKyzHZeI#;n&BfE3-o7fc(hE zz_fXkcK!L0905rqEWKj;ZqYV&sA50fvdT^fJjZLv7wPZK6dcVC*U-=c<1vQ?3~$Up z*m&%kF{d;#+r;yvs_8+)O-s*ZM14H-BOtj?M+M3yQopb3QbqYQYCmo;*wDZC4zsi! zp`!Wxjd>T#+i4Y9GL3nQ#b)sR7x-3IIn>NHLuNm#(q*euk_PrVlJ1!49c{&P9 z>g7;fEoi5dyDsLGoRwO@N&z!|PpRkaY@k?^LA96Q!DU;-R}RIqgTNQIXJ*+Rv>?O$ zBjx91k;w4)YN(k2jAV2LzRn_|R>I9!lo#4SdFZ=5my-pxs!qfR$|=Ei=)LxYD32Rh zwtl)zRz}O0VY7PYnt}_PZP%@@G8p>Q+jV>nJ1`|%9XWGT8!7f*SKsUyr@ii&r&b+i z0&7~GK5A{1!eqU9Z8SRqxG5aCWWvq|p||5k_@1etLFg0W4T%9Ni3p5h2Srh{+^fHP zj}qK{=y@{Y5ebNz+AQTZ0>Cr(43$HO3+A8dy586{3v)gPd$)*Lr5S@?}|YxQ`ZEXrqWd zwyd$mt5lGIa;p7kwQC%!jV3JPz2qJ^|0R_h~}<#3f)QDu9SJY?LKQ@Giqi;;VtdgOmrLB8fxp|Ztt zFe~s~M%*|Le%KxPPHb2oNyM!hDy6z`AgpTj8~Q%Fh((^IyH^cR-RIqEU&Et`h97IP z`K)B2b6E^pC=jtmMci=nOA@eG_e-~}kp%ARhPK;^1z;uX^%vbmWXRf4F~0c*3B-*C z>z{6MuL*c+6t({P?YSjmIY+UAlGVz%L zc)wk_YphZlWmwhAoO*;l~xBV%K7kr)RlAJmNu`KRwRGwMTl^$2U|E*`RUs_8~zu zQYGHs)g%Ec>k|$Z4t=M_-(MsZT`7U5Zh5!AtrdYSUUvoFIq{&4;`5U{LtLP3kYek_ z#fmf^+s)6*4e;*W!;J!7YFMR_H!iwf2JSSt_#Gwn(JU2P__Ei^Ba2+g+}+-<{_xMI z4Y*l6_?Dmz7d=|P1Qctc^#v!BuSR5e^uYYar#TW>Ra1EM_9YE?&DipI-L3)Z#sa~I z@2lv)50=ecJ@#1-ms@7C@~qK;6Wfhdj>h-WS|iiuq|Y@3dw2hUf_o3BhGu2WhqN_; zc|9M$^HnnLUdOFdzg-k#xwbTIqjG=^CUm{F6GSy(%3JnGQ84oB|FCvY9-3Zsh20;j zr+zaJ6e+OO!K6U0bDIeCeW?4id?oo6pj4&wY+Cok?-W$1Z*=2?bki8wR` z-0HD%NPPWN z8O1Y?-Z7eQj$chR`wQN&;T`tj_;HFPikO^=HoL8c4mWITmMa-TD-(Rv4yJ*dW}MV4|7U!_!%>179?fAviRO)gm*1W zyq*Nf;=Y|lr3%toc#nOp`1f63XdDUwo;~AaxLkL0bmfR12#$QP;OUnFwkxY+ZvOb= z`cI5c4!)5e<;KsqI$rV0$%1W{*H(#-T3~3fbz`uiD#&zru~XyBp$5I&&2Gx0^Ok`e z?_)%K8Pt4cc?>t+wdM1<>Zt)XNgD?Sc=$k@zR_*b+;`Nzyo65|i&g3G8QJhqC!QID zUG3@`g}G7fewN&KvH~tFlPgG-t)((+nDvc?5>e@t%(0lWB;?9#>?%LTi8;3Wty`DK zgZ#dIJbmh%cx}h2%syW(7>(`e*!Dyf2JW-ywt)!?p6ZQdjCJ;Uz__aD%iDTJyn8{t zZr=+%j1DzkaDX1SRCvAk`S6NHYEDeJ_GM8yuxZ-)p;|^2-8*b6-rtddw&O~3$p&J0 zeHlN&sD&B7#9JrJ9{Nn>kI)UzQV;@hgW=|D>$PCbg993?*NH=}+)KC7rMmF?WC`V7 zxFj4rdnYQyR2WuVC4A&b)5EyuPHa0xj3L_bT=b2lig15_*v>u$C2Z*A5Xp+w0q4@@ zJ5KtX_&H(oQEvM4c#Mm3jk#W`!ezFtqwj6S(0<7WLl*%#?91Gkz1KhnGbC@1{Xg>F zGODUL>iVTS4jeiU-QCDu3I;X^DhSwOpoob=ec}i@ZpSc*yn%Nf6Y06Q-;%COEa!T6hjA<%r% zMH5+)$i%G$g0c||V3p^}I;5-&ADldYZ4i})oNx}m?s8f9EGzjnS3nfjs{grGXQ2ya z`lUPhGSu*k+^zVac?r0}xpKJiHv@}aWzH_FlEjq14jCiX#<=%w-PG#O^3ccsER69$ z4JyW4z4uUh-{;uR$TVA__j&|OkEjFjl?Vwd8(C@>kSv2b{*d! z8^(mr8V|lr^I8C}WcB-`v;743ZrwV$+#0(&P78fZ z>aMx*%Yv3-*Ut};%2>MR{kLM|LQhWFV;`#2@bvV`1&;0PxY?jx{uhf5)TX{{$8H@c z&Ew4c|S{y^KLM(;nlob zK(Y?F*ktmb>Xrjz<%fj)O_%Vm`SH%{fh+HK09|I&v!w?`QrCU$=w+D7?D{`FY@ zUepAtY(2ro#|VrcN(C*BYl0`&F^Bp@5j5%ce#m-L8d5f$x_nrU26Izs+sow_2$_|Q zs$q}h;8I@GvCT9&NMCBavt~jGr4o&-!X8bM8H%;h)wcQ=ETz2vppPk(XQbJyHB)|+ zwh!YEPO4G)cFwlS>&y^(TOe%oCKJpr3dY$~&|%nb|MO$|hB)008~&X5O@6o4)!Gy& z0MFEeL%cII@uPcr)7r>IqCZq{9TTfD9H|u5F)tV-Oe*UNPYF}|l**G8d!^J-`%5*w zo!a{wCqEJs%+|(rAAC2)=j!9$XJ@KAB8^~d|Ni*^V@ZlzEK{izs{{-t_x7h8xujo! zdWCq<967Sw5T7?Mff{`03L>f)cv)gF=#iZf%KWU}(0F2s^g6pm{m@!N{HpGG#y7be;Pu?^_|Wktj>Tf7D2};^0sHBFNI=!vqy6prxv6Fp#v#AXJ;ww7S@<;@qE8c>~UxeVrPJF`|sE;pku%`D~ zJHdaoAZ*t=O)OZn%FvA9#EYg0`Rq)}7@Ys+Sl%@gOsI`J$~UbDHwLGxowsPfOw~+a zunPwh!TeV8hsZlwQsenyOE|l+D=p?+B*+Ro}cRtUj@8dzfgNc>D)~aCK~Fy6e+KZwSK8pCjHMcK?q<@igeiHvEc)#tAmpoI7?T(ic&DG-9A26v?{IhpE9|fs`<@#vB z8v|@`x#(|Zn2{Q~U)U=ud{hdqMcW>X%wK^Q*Ik)jts#!LZ;Bm1Un&cxD=L`EsGf$` z5|&k^bY}2~mkHTvWdwtUPZ!p&>LpYiomZT`PXn0?E$pSn*?!=)05jWGu)OL)zs-WVD$pv?RJk^LM zx7n-V7P&CH)NUa-^YNnj;LCa9_(~VK)BrM*a#!j)y82AfZ);>n9=cCFo~jCN7d2F?3) zaq#8y0MqT7aO8|zQ)9Cx2;_bxQddcWxAzx#X()m2`d_#Va@fGd?S1U1kTM?KAH8V^@Y!fs5PE zKcvk7nZBOW*3@B#I8RaB;8H`}esLslDg7^@#~;1>C^e`3SGiDH_lN0PpcT2*ds)r3nzbL?^NuzU#SH2VS+mJ&hj`GPn5WDO_8wxMA*~jbiqW)Ln zRgS=WGFNrb{l{@WILIpMusuKkm8$OwX2$*|9iCK3^>2}ft-d#OPFLyR!2|&Tm$wF( z=fgH7dQFYmcdT6Ryh9oLJoL|mOfj&&BID|9&pN`2_58oP|1`0czkT`FLorNg%@oq{ z=_A?e=6gJV+5@QBn}**~fiN|O_1_LYFzzOsIcN%?aQ%7J+YvP|e;Hb5`d%Hr2#v)| zzY~QC_11=#llRia|ida8ko>NHEKrQX##d9qRc=%VI znM(-=y2}?Xn5-1R^BIzv%9L-NZ{C~t`#1x0==Uh+3j_KdugdPG_(Sbp%c`}_ljJjF zr>Ffl2#C;38rLdif()a!^BR%ajo)jB`jX|=Bc5$K02RM zV0rNb&~!(*&B*?_()USs_ORZNvZ|a z701zyJ72n_a-iSYtx9*?3W+4)d@+_gGU)iZF00;77BluqlC%sy^fL=F`XIszAL=he z*j-n_hnMeHAIg=&4b}7g5`$_;^jsDoJ7j?4Sgwp^=`^`y$9Ml*GZzNzw~df>qRwre zKF^E@>T_r*Nw@IOfG+}KMu8E?tZSSmC{`GEejp5K*WEv^Fc zEcoHv`q}5J7_dB9d`|m}0eWfd5R9!7pd|9W;dR+65PJSbo4q#|q{iLoyc|w(r0>rC z?i(H;zaEh2{C7nPmGp}ao$`@~<`cqSFSW4amqSB8T2hQ*0M`ruZpbF)W2S1-{QHZ8SuK!F|0w&oqax6M)X{?ATf_K zcn10KaYnmi*fTYp>wjGSit5Fw918pQQ{EU$1EBtTLeZc zLmN9NedJkjT|MUl#dX_xWB=zwIncTm#wkW|zFq5>n%-AQ;bicUM_gt4$kceGJAN-4 z9!u9ze^)1kC0Rk&4WEq>GWKNYz+-hB(60$q{H_7nHA0V4b|_(l=%8EmCMBeeH22Ic zi(}{?y+HGgPYGCl5b!lr2kt~(zA#8v0~S8JG5a4PP(ZUgA)RLiLNXKE_++Fo;;^E8 zhrb}E((jsP7ODe3arx)2)JY;>I&Db&l|HKL?tNiYq6^$6t^=YrJW#j4-NUC@AC7o` z<=Nye{-5so{{CenPo5e(wAl~1>1VS8*M_vWL#@iF+j5a@PFfMNBh{BgA{qFGLsH_Z zCdFlnUY&SWXofgkU~0frPlrn@t4oY6C2`vU`_||D)VU`3F)yf)28VuJ|L5wcfC3JS z=R{Yk!m!RW7LCKKxTpWXoPUi79KRvS(^V&oiYcP;V;p)Yx{+~jK1vl7q}odk$T4tz zWPsRXUQ?Jt`N7GL`VjE&Wm1cXB6(2hIWgfO^Cn%dUO6b;`qe_o!w{QvW7SxA zrLZ!b67rhX%$f>H)gynf_f%pIPQG8FFbBwDv$R&R4 zhwj5f}YW3TKZ6coD2v=c9ECYlxh)6C!Z%MQLeWypqKJu1I5@r&dkg zzE&bXN}9?4xH=58NBWdID}wMsvsD`#3p5)kC5s%VA@|48zT>JK$W--&`J0&<>^oX= z(dP0jVeXuAIC~2_rs}v}wzlS`dJ~^V^rms3xaua(_GNYI{P8iabkKx=c2<733=!O& z_lOak&WS;vg(nKQzY;&r?=s)aOzC=%uQ({qi36MJ1#2li#-?89ymFg7-1ig;A+=@j zT!(LBZnXq7O`a;E7jRO1hJo~LlQcB16u&ZfL;x^!V)OwHvQ--n-RQ!N%CLzrTA!kyC!2hbs*u`t+ULMLTJfm z^ji(J@$oM@vH2klCT}DSuk)v2{LjY)i?$kQmC+wsp+8B|^7;L17~&8*B)(}M^E|Ou z@|x_9=f)6~6?4BSQxv$-bXV|)VX~{a`1$9H*c>Rh!|G2&uI^}szY@U_DrFS~} z?9=}Khv%Q<8aU)``=E+{`Cmltp>(c0z25DHzD!V(=hc??xtDw({pRk5%ag>~BiGj! ztLdO(-Daz>B_l9*87i&cCl4lHYK&IW>W zSDEuw@N?Cf@^Fv;mS1?X!E}ofY~pp9o{;6l2dwwEZ%h!!tz#-38P5cv>2Y;zy zh-@J!6hUIki_Y&ix(JD?GF^v$R&-AEvkA+qBXs_}6E+o*!YjujPfeN4l7x+U@PnWI zq<^FSieg^|2*hM4#-5`=_okKo$Al+|tmx}DtKP^`=cOh~tjZMmY%!t#CAAmO{FN&n zepdmy_HzZk_tC(0$AbGNZ6zUW1emwd6!6}usiZZ^Iw<{`WsRVo5M0`8tlq&oLAtGv zJDa#{0P2hsc`>yKV%F}$XvGEw9LdVLaq03TNnbDzvtE+Mv+2|BY!PC>GV5({YgQQe z%woQb*(>07-w&(Sj7*WQ4zs7uY8zsu+J{P&e+m$x%h8*(K^hLMd37)%RtUQLCO)VA zmO+Qck|&}Pi^Nm+TNQ~~8o+tvZpU*}g3QQAttCh0QJj9=#4Ou0!n zJIbewjkkDh*lyF%J0Wef_>dWrZb{!e;uUd4^2C7$JVKD^pIFuz!ih1-BlV683{@uAWKPA56DdMBUPQ3}B{w|0p1HG39H*}B9xSx{kE>tqH_}ZO z+oOyZw*UzBaFRwbFy@A3eVsCMv<6*xv$2 z&MD)*_NKI9QE_Bx%=z_0&;XpzD?VgB$Bu`shaUKMOQP9@?RVG53d6pYBk5fO`mjw~ zY*wmA5=?BlR=G1#=j}G$6&e>*F-I)ffJ;ms#NL!QKHh5#`67FkBPmYL+0ZakpD_g# z`pC`7p+QIg4%>+{`SLJyFRSmTKMRK4>nau0SHg+z&-EVnl;OON@1?i%Nr*(-qu9 z=5{jh!1_Ol>!`hqbo!E~l`tKR1vN5TuB4OiMi;nk3YG{bZP&SZBMqFhJINXEPx*E7 z#U-T+Ysj9rHT>6=g|YjnW_4}dJkgP5yR?O>M&?>_(DNN)g7U^cD}3BdKtHkFZN^pw z42zbHeEqeNTj;HWXNEBp^Q(-0yUU9g<8OH+O$k9(4O_dZt|H#TkiW~wje;_5qq$9V zxbS}O(>XU0_~__!$1%YWvc(G)uINdE;Gx_KPAW(Bbf<{L)b0Ox`@w5lcpr-D&yt1@ z<}}HB+F14>`mIsdAHwF!mbY0FD)8s{Vy#-UHs;+IVv{stLTf!nAlq58!)k|pOOh-q(+))?QoWy#i&h=k=Q>R2c*hx8 zQF-2{?k#M)`n9o$@O^qWjE1k2d4nRBdC_G2#->WgY4W#FQI5YWA8h!1YoFiLAfYw# zB-vJ40lB(HzG+D)fz&b8^A^0yKoecK9GR#N-r@#tGv8DD?|sfDp>h%+U2ZS+r&woM zP4;6s`5W;y>0`cK#P(L_ z*nkQxs5SVyE3;VvR}H4SRpqF`lcuL@_cyYD&q|ge!842GU*3jShSa?A`mmNwND>od zexSc8)>|Uf7e6^yAsdQD_j~wr(P4Drty1UYEcrGi!ufo_$ZNskxn@)nG)tVG&M7HEd7$vqUUHGVa3o4c(_0tFB7cI zGSOBA%p2FMsu1R6e^c$YD#R~6KAuc*&#r&ThZb95_}ivZ^Jt?SWE2wpy`YK0 z#yg|-2C5|k6feGh)uALHQ0o!h^P{`#bh+r+#IHr0q=ew*r5 zJ_QBTd%Ibqxqgv2ZTtft)U}gG&wYw{IxUL2&jVw(ztV=WF#5#qX)2F)cvFO8Ei8AtCGFU z!Jzq;Q4vc$DJkiHK2cO3=2x=TdQv+52_gN=P#b0Z(O}i1H!O*Ut3+;32JRpei?<6L zo_ypoRPFU=dgA|8oEL z=9@2tx?GpZLWZKLex3|m+BH9_G9!*Z9L!}CT`2y+@T7%%gDfN`nO`4i6$P7O2+7&0 z4%Jq1t|z?b2s7D}uj`+w0Q1Mt{kfm%z;5oi(QZ}%+I|`x(YB%Cpwd%G<2*~2xMrQ}q>Yp5z4DJA@v>mlp`LY9XK3(4exr&+%M8&h?ASc1Mt#4r zl@>buRtLlEK4%ASLA-l?ZR@_<4E$jyIU?7`jCL(O;5e&5RmvFE`R-uHU%y>WliJF- z-`c_Nxs)L0+3ln)M=&rTr|?%!vy$|EC*w)-F4z&;=prIU^>BN zg3MK$i?}8w3no9+czf-I;q6(i@IN9Ar16|g?lFFTh_;PcNBb@UH#1Tl+pIN;K!&ef&VnI5}o9eCq7D0m9jTS!Tl%q|v2M z0)@p280T-5a>bS6F$cb^i(IJ>%@;4+IrNADMJbP398Dxp{q5Mmt_{k#WAOI0MuG^Y zU7Tu^R#rsGA1fB*i+KK*?N3a5B96JJOG3goJM)=d32=3@5*Z4U!6S*wJC9FrVPx%1 z->fx?aK6n$Uza4_2r-=xrw+Ap}0D%++64sesX650iorMaXH{FxA3P zg8AFodNpUI@&2=?yQ@yqAmh%--K@vx(Drq2TG<62nBjbnwl18wCVV=p>zg3j1Wtaz zHN2p2lcM-+mm%E#*t)i~Rtzl4<{7<4;^`{8+N0!U@|gBYV|hq5 zHXRql;+i#YJgJ_9-!7dYF+nw?Q@+8O!{!Vy-=U648>pPX$9bcGBP`I;{6>t!OcmTU zE?;T6D*}2=!ON|k4A8x3Y4Ige480}}^C$?YqUgc1;%6y;`g8l1aQWTr7~i>tJ>n`m zB!1}9m8}%S&>`aFSve`n2arv%gG52xe1AVkYC}c1@7!{LHhfn8SQlKNg`x79Ms6yC zm=yHb@S!5*%NkRtWIsg5Hu7j`y{b5sr;cPl?;wq`9UcCMirHb#-jcXsq=nTQ-uXW? z#gM7)uF0Q$vxL;@hVRjGlppNReuGtyXGodW%nUmi*>wmOF{(JDR(2QS*DkOD2 z=k+8Qu%RX3n-+BsFI~L!Kx&g7=A^wa$a0=0-N(07wa1A8a4ZRPo#LQ+WV{<`k)p_s z%0)v>3gBq0DYmPR8FgJsv_Kn*q_+qx{#YVIx3U}lJgo`* zI_^TZDm0M&S>xr4D1|02)uoD~b7Z)N@eNs(PV(2Ot@9lmf>^UHCa%_z32Y8(lxHE8 zU$FQmbB~{an+`q~zo4xR#b>)e-PkJvS0S;SSVx0hGJoW0iDKaVZqFrA*+o)r+AVi* znE?~aM+0|R3BsM=&}_4-iV(^7YAn)K6>mL=(Rja_>RA|3I2yI4oj4&Y;B750gtbgn z+PObua82{Gm&xW_P!r_-$cK{#yMu%zx&+v9oj?+)s&8Xdwat=-q%E}Qhs1zUpYaKefB;-g#(o)pBcK|6+^v&_y#6!ZOkW+eCalo z1(D#_H(Rrmp(r5a&(K{-SRZ8mhg(bviq4pi?%(>IaPy2N7dLalpo7}zNWM5)r?`DH zmtvrs$MdN5#dNIxd`dcFuOYs(xx1W_Esf&Zgq}eh8>at$UDRkHjO<(o+hfcZi6JG2 zSG)O>JT$W(K4e--3pTTX{B(ZVy5Yw;Ge+0L0!`48*aq`WH)7<-4 z^5CW7CC?+N^Q5(~rY+M0X;_z1X*KO3jSsKR^lW&=j~=pPw#B}zc(N<&XUk z>_5eiyN$JU74Y_o$n%QKmFzpA(x1i_2OlzI;wELY5miJ29nTw z_1$=2lMvV&ySYwJiKE}M`BN2XY}k>w(Kln1@@<-5NmVY>fSAcs^&hGH7zfL$T}3<$ zN*ArwyWqwIQ@ihGi`%I{j8v)}=T&~#^!wXQi&b6Z+{Seafg#HHwQ`M9Wtu)#v;X_s z5zGtbwQe2Pdc^TXLvDuGb|YlIayyVco8m?dnI0cyRRy*7OZ>#R6#8WSOi;Ycppf;O zZ|&GMLDU7e3v_ugm zyb2p4Sn2rdrLA}PeI7`@Ao-kULJ{5n#?$Mq^f0>U#RrLpg81X>o}@RQ*g#p-%QP`t z9{(nr#%z42gsQH)3zzeR@at+r{>fFtxuhAdkhL{8L7;NF~GZ5!&G z$S<2-%repXA3mQH-tu3uAR&YoN_@1x?4)$_jTwrcUQd!~4+SPGJQ*0&gech~L-E%u zLsy()pn+WVxb1dTgioIhm?i`ucnwcWpnEyVaERV;`6)L(+bhCj7bk(y1@r5!R!ox{ z_FiJ*c_)HTPWCpLtEu8qv+-7sL}tAC=g8pZ6fL~Ym7`zsiqh@*Ugo{l3%7oBXa_b+_9Q$(PwJ~ac(f(vn(Lou~ zeqUnqmXEa3M!Y{Kqzmdvf6l zqv_bmA%ZOWsrj4f7jYo-Yy3e{87&g7>R&NY0Gfpg{R+jA7hjYZ83sz9y0_z`)HWqJ z_pieK?UVrwx)f^Kf&zrR-2(|$ba={Ha6Gz-7ce1tqYb6Y)aM0U@4v{4(QkezI#a!` z<|_BFudNr9OA)ax&lcbd8| zK}2p;UoL2%#|z$I^HwpC>6yP17blHU;jNEXBQs8&{`r_*tb*Fj?MypWlrevq(P(Q# z%}f7-e#&ibc~*v}lL^Wiu^mU7NEtJ3rN^fz-$U|~Qx!*);hc5O?_=gF7~Lr~u}k6} z;S#j@VVlQKVukOmUNzkr;#K+kVQVK1zoL50gu;|(!~0Ai4W@G1*`E#{irJ+LzYEQ-rQhYm zzSx;wmy_&ZTj21e^(h}jo(TARYD^r9KB&80cNa#kr=sPX9jX3b{WV6n1y$kE52w>S ze!SRV9ei+q!vN7`(5%Nz9PSdXxQMqy(I&;`&J5|_y<=PY5IXS44eLUSyt0m19Y9@E!if?Z@9G61rfE)j|JP-q^BSSk!fZ|dl*;v2fH^!ljbKis#lpv0tXF2G@ivkZ- z)CUXrfOQ8gOM9O_IP_(`QHtilv!fqHPpGruV2V-H;C=;MEvUd}bb;~{Je?RF{HBk6 zZ@QwZ1tnm71e5q;k9&>SfRD+1Jy?wxz>5tq}vd2@u9_DLmghs zs?%d%6+-zhLQ~8S@U{?f=S;kpDWAWH)0JnPqzG~xseOKU+e>o5<4wqi1yM+o)n>A2 z<%adzi(Mx6L*yT};eEPQ$;9Bg-}zeJqCko&#hO}BT;cGelGo*AfPQ!BQ9n~Z3Hw7T zJl0GRP80K|n|J>skL2eJaS$U!wV+@_Zki<2-`BL_uos7t-s80QMHFXX>E8v3$QDx4 z??q4dU5eB5CtV@hihBQ*4~1?}HiX3M_jGQ@Dx;=0X7DvJ@I;mxVG_oQD;#)g{SDP& zJSp>ut*9EbUOfF|N?jE_FX%QrdMbwvJI`{O@lg9_v*+!imlz#xx}t_|Z$`x8=cG{} zE#=Ouo;l*Qj!xtbXKH>rCRru;P8JR@kDJfE7lkZ4OP!i?f-rey>spOt^0-9zy65?h zfeO58o-))v?{1S3MR9 z!xD`TxA#k6lpVn#y`%@R(58uTa{t}t6ZbXk4=ZPz$!&onLN9Jf;{}7=7kBz_!rN2# zxm}NQV#omz!{}xac$q%*C7)LZ!(CV-O1G-P^@v}tH5A{AdFRJF2AzM%(^0|s5uFln z;NzXSbyCLA*z%m|N7x+EWdGyJysI-cm)2yMLN3YJ@;Jcc9@P^>?|)$7=4|3geS$ zzKGUkCAgm(wmd&QW#? z1l`cMU_&~U@0mWmaDC%{>j`;x=gpx~;?TjMHVFZ7sIcy`>6zrj)>k=4JzMnP-_g(f z;`^21Z+dZm?+-fO52u}BjPruZNynzgG75ORnMYxTAqRGpb6v6#Q^aJ)h6K+Td5rN& zUZ;4P2Wy;uB-HS+;ZW#!_n}TDaGibC&3GdSH#o;vhPX(<7j352{S=2GuG#Ws6G)RuDuz8z&JWvu*KCB+T4F_ zwz@Y-yuUELn)jv%luPsO;WiUPv%Nho-9~f__~;XKHdhfxj+dTyT;xS!h9yDdfh?~6 z5R|OR;iWhnr|mM>4qYHhSr3@-u+Wiyshn-aO({^m?d(M3R>0t3+YKhcMxfFk zIuSM~iLM1NVw9%XAmN|?P(!c^%+eicpJUX)P9r*d(qNLPf1dQSn3{9nuVxAinfXl2 z2BiCLuvsA12@}EHFDV{%2>e(K5yxFwmwMETxS`=qOqHyo7N&LyX!RO!L2vA~&sPgH zkREqnS=>_q&dCTQNgC;4Pp}$suaJR>E4QgQeWrA;d8y@wXVUPGp||$PFL_vT|6rJz zqy|>L;#ozHmwzc0*~rLw1|~>m^K4f z%Pkijqxf&-E5CL~kBEav%b3;kHS$O*{(aW3KSrKE!MQv%!HkV^`MIZ%0r3VHnsD_U z`S8gOe$&ZT(q~(t+KW~LXuS(x&yLc;C1*j%%SsTtUvD&X(^kM%%0o_D&4d@*xAnf~ znTdH%Fi{(s-!VB)3RwLd`vF4&9?aL z$H(7(?V_Q=y}{X_ICgxH>?gEh}vY4tqMaS!YBS9Yu<-t0rX2R`j z11a9XHhii@86)pEO>_s*fGRE5zxAY-l+jSCS9&}}c-rjtdcKw)d5&yzNZ}YI{onLd zg&!9JRpFKSe+rCH+o9IYA-b1TI-s@c_M{fF)O%&Nr?cXDvED568}o#)%`UmgW^u}| zo$=*R{5)CEXkpcnB!lREOq7%MmoS`pnaOm=5P6TrMTs}6!FTJ~{P{0TsQZ-fPJFZ? zDBFB6+|(k5o)J8M`aa1Z^E}hGaBBZ&`_7kZDv%pCAN%vY%3g`eeerf@4Ga=HS{c_S zYNkk^)xjIXPE&ijL649`PHAYdXUW*^!-DbUt}pbT_mTQ*%{+?cnb3Z(r;c(JABLd@M3$-u}2~5LU_GwWNCDz7?lHUK4%xjgo3MNlefDo;O9~e`|JI3_;W0@ zDVdE4rZ1_aie{>z@=wXYH-)kwsyk7#a84SwFF5_B>#5*9cCBY@RPI4-zHrcV_cGDw zG#9i%PYoaZc_a91fEj8&ckLUa{J|%m_=Z}np(9UCmcS_G7oU=`H`k#2vP(IihVS}Eui=DLZwVxEjU|XvbYrc&W+u@4c zWV`DBGHdVRNhSQah$bzCPrY6&Zwi_$lK%@WS5 zq&-=V3ZSiyhOqa7BxuYtZ|oRhMe$LdYpNfVz%o_)zzs!euVN7{Ww2ENgqp-9XQ+JC znBwx~9q9CRKc~peg!M)01A7lrxr6>m&0@+Qkt~+o=u|#KOe=4zEc`e|m~Q50 zRqh`rzcTMgOX3tqhmyQTmkpGTG34L0+Cc$E|JI)!zW9eoV_kPPCvK@nI2+gP?OyiAwJv^+30p) ztq_PR>#o%+RR+#Ie<}|*4ievf1rj&Ixv={FXU$k&N!VAtv(3t$4-D_lULTLYpfsC+fxw`L>OnkH%X=-ehOQ>0VX9QkRf^r4~(C%=%O~%&m_8YuzR8ua!d4 zhbDWNSs8eSN$t-q>R#{lljD~qhb)Z6trInBW&x{I`qSUfr$}AeL#LK$Hax5$E}*nW z9>XZW#6eVs(a0F<$`ncsY4GG|q0Nvy17TMxUdzJW(Yb5+6n|f6+Q$DRweSDGyFT&M zUii^)MHUr~P422aD+YHG0+O<}E|4mcrJITu+3-Q=$mr&6GlXbVp6O;E6>vLo*!R%i zPLlQA*Oyz&ONor#v6UHTmC-l+%E299o3PBK;3l4GDm?V7P>@K z{A^Z&ofhPgeJ^EDVr_F(s`41YQ0U##IL{8!Cr%_D_TWSMzD2*ZI%!}FTzP-+fH-wd z?9VhTqw>$vQxc67zpX3f-JXlOzX-4TeLFP@DE-$XAb3$oj_O-u))boI1NpOSNB8cS zAYXpaFiK>tCH*88dM^0Y600wKNVwX$NN~NLa`kUsBDIICzpAqe!NGN}Bj*Nrz@pz{ z_e7o$NRPdvX9QFJdDELQ)*ID;o^&>b3dn(Ot%J|ZDKXfSZ54FMtCK9)alz~wm0uW4 zc4|~k=79Rp>0F*H4m5Q8nmWrY2fwCRxqr9IL*dPq-3w_9>=Eaa((E&Yb?NIAy5j}l zO}ma8U0V$jixV`9()Ho0#~vFCEqbPDiE}{+U-(8CIi1ZVE88sc`#PCiQ=@TGGcxZoFu_a*G9@IK&o&FDR`R$NEzP4_En1!&won%!xX26y>rA|I5UK z4eL2%RQ^(WUSPhU{AMFuPGNZL98`emo@pzSPs;F_wwkrRPZ7e@A3aNyVM3F*oWwn! z8F1eYN-ASmAd^sDvSqS?ViX`t69QZ&=&CL1PJhA5T%Z!wRGAOW#aW8<%p)~k@ z(n+%v{Xd;g+SevsdV5Sj(Q3;L-+3j3M_Q8Rw@S%0U+ z>lYs^tr?4xW#Pm17MI-p?g&5wUG_?>fG8dwHMsF*E9Fl~*&}LwyoVIZc{#VIEp6NP7|FP%)^O64HfnbQo5bYMrK^V;b@)IK@+?|85ZCmhTTYfs{l0+r{AZmlhn zz?+(2#ceLic;ZLg1q2ddL;O@uIG$5Pd)i<~HI;GiQv z&VyXRaIar)fe`8#VEcG|mT+pe(%DGo#QLhg0|moOct6sQo$cKc@i8Qj=X4$uT;i=V zK3vZQ{D0Y`R#x>9bBP||ho2S_0i9a(Pbp(W!bOA7cMLWZ==v4%Q9>6CcYHa=q@#^~ z9gR;D;wV4D8R_m*S&M`O+pnSoq(g=5Zq@RdPlU?FDor+nuVm^z8D;5jl6Yv^L_}zk zx(AGgs_`z#f=@8-wNP;;%&u6<6x8BG)4QGO><3iPbI>t9*OVFkh9allQa%g!l|Cy1 zWtl*3!ml;NLJV82**|P9FaXA1QIqcd!r)P*d3nfO5xvW!&V4#a<(<|4t!N3VCWduy z)e28Dqv=b~vs=RjyHt53)~nV2AN+&D{~LSn9aPoVZ3_}5=Nu*HoYR@)q)1K@ML|Ik z0~tXuf+Rsu0YMZMQGyC8qMQi`2%;dMk_@Ow6a*zl``oIocdKr_@AZA%ufOzzzfP*! zd(Ammd#ttQ93y)5i6%2G`uwJnS|gp?GQ0KbxF4j2-TYJSZj~fG(umy>-=`Ld`|QOt zAcfQ)G4m&9qRopFEBgExoew+1V#mW!j*9xgB2}6&|bZLd@ zk^1Sk+O8g1jO;x#_t1_7KS_w~j4vZc+WxIuEA%dk}(x6JZ81V0k$9yL2}zbb-$1|0-WUtWAK9OHte&e9Lb9TK=QtvTeK$cG)3e4SUynK3fB$+&`~V>S1H z$K!MW8MrY`+Z^usM)Y)hHX*A`@_YTA6m$CF0wE(RQ8X-+0rzGNQ>>WsBU|$xIcJzYEumosq6= zuq(CkhU+vr=_JyrX~LgWk0T~-$uuI1y#omq-8sJr?W}Pr@~Z+c^&knYp8Y12ZrOeI zdp$L}iE}*{Q0IXD<6o(3f@#r(XRqw9hjKVXejuaHOXPpd-%Dd`eJ%5=#4|27x0d%% zp~g@sQTsA!KPaN7I04&;p$l>!6~r0|A_@r|yIlovXGXyeW|}2p#bSAyrZf#W9xtUm zXG{+6aQ)ZgpK@4U+iiKc<`OY+Uu`gjNh9&=Tp67`$#1CFU-A9MAU~}Bu&I+G)x%z} zec-ol@r7`gc5jbj83n1IqrZ48kJS1#>v&DZj0%4jBt_^~i$h@fNQM&+C#>~<2@eS8 z$2XRz&wNs)LbJYitgfUwi%b`N-R)zOM0J^?alNASsCY}_MGXTL3S{+`uCJ~WIpWio zUG3N*+uOM20tGkJTC|JJXw$)s(;Y5MV;u1ANI%2OE)J01kx;F><2!->ES+DMwg|rK z&gkpe-AL48p5hR)6Tr(#mW7Wx-x3!d1pYpDjRNW=6KDfxIpMc+LS|);7%acIMhxX8 z)$ub~)9gVER7M|8Ky%6M}0D*ElJP$=|(M{ew$IkhhTiN`js3xqow^W zl5~I)(-ND0bu&V&HH&=Y%oa=(`F=Xmg$}M5z5Z;l`zOIxTEwK&jRP&-`PNnuIYEpv z;UUN|gNw1z^rul;P*^DG8|8gYTw3ZWS2gAUZqezdRw1N1XgT_|;YSOE0baMC^JL$M z0iz2qPP1%*E3&*<;*`|z=wptB+65|%&UoQ@?vWy}aaTAf(JvC!R0L`*LRW|)Wku}d z!xR|gwUeE^KpZpDZ6fzYvxB%^7qvRwFtM#9o8?auH=MSfy!)Po51#~d`Q(vp#q(VD zy$VT^@XT@Rm2>YF3Gdl=eY1GW^*@o*omPzwyHBgT*XiszZ6hUX&AGpO(GjN75a?Bzxu} zzu_#=gGOTGREacf>oG7pe2L+I;QPP3&fNUnW&}1Puo;2P2>fFsVE5dlT}F-%f zZI4&~xAzJEv3I?B_00(UuOna?;}Y=fb_OJVJGf!rd=q!s-}spJw0e`L{IA2d`RzY> z1jwc6k8E!(#Em0f2_bsLaJa#gH*F;ulM5~_J*vsx#P>gW{x)y#Z$#jUg!6mXXta90 z)#X*?MHD*r`{b2i3ExJCuc$1&}jqq)L{LdMIDHXk+bCF(Gt@{Un+L-#+c!yd1&>_xx$q9*cdyNA714-=Uy=rismEP z>OsCPpm<83Cxr4K-d{IzW}ZreQlruQSgIIw?}(25L()r#dQNS2f;?su-R&+5F<%i<0!SSCiACOI5zB^{X!;x0B5*=y=)B(N0HmFquE*H z@R!C0pTpHCyj19%z~SqUtK~_xJXd#a^6!7D?EZCc=0lhFQkI}M$!F*doltfR8XOOh zT3tScoR8g=__iLw_v^cP=CAGth2zrtOZ#?1MUlp*r-D(a*lWI%-@^mMvBA*c(q5nx zRI4>&vFyr{}fsN>)k}d*}Y%en*G7O#PLGSyTj;mh^*R1HwKEyZ}Rr)Tch@T zmE~#1qd-mP;Klu04_AthIIQ>@;>pk_yhoMI@$D(DxQe1cIH*W!hj_6E_pUx|o9Na+ zeY>00_pU@j+4h90E8C84^6$SMwEm$ZCKM)pXj%1vCNb^Q1OwtA3e>}t? z>*kL8icS2Pwm9NDw=%L>aY<-!@v5H~P{B2V@+?=jJ)ShEvWPkF1D>v4N@Yhd0sXFc)URJ@^p(8%&1-?+QiCZeb~DQnGXigzRGY_UYs3P zXubUo)%)WGmyWWC%YN9Ux7&>7oa`n)`NyRF-~OtHmk$L-Qv2a|+7Fi-%?O|}%VD0@ zs|ls8Tk7gHJ)z%Ak9*0`7@p|wOe@Lv#S``~Th}|)Fx-13T2e{KLOe?&xD9yg! z|Ctk<6c5hGZ?}Z4LSM(37G0n@n&N0>p$qf~4*&TvU3Q+i_a?-JD>H3*MY6Z_N3v4?|~#dct0+fz&RqS7)s^_fP)5 z+5h*wnq5uwUdHR3@HF_>gfpl*OE( zx7Wcay~PB7oU1(A7GaJTJr8y7;V=Z{^~9q^=0=zqZWK-n7I3>hW+}|h45r7rOU17F z;1$JP{+T)3@lVCT6K_phG)<$>?2iUCuSm@(h_c6WF7^||ZZlM8@~_$Dq_xRU{(T|$ zcNtlqq;^HRDgaIC$&JcTM_{tAYi9iB52>wOhnu#$<2~cHz&N5Y%38g6L{C)1klkN? zq#4knUG2)#fp9UfF&s7BE(WM{_{LIurUtIKr7A6FIHT>-qsYc6C$Rp(rOC%k0J*^C z0P!!jD5dbMJFbKYi)HB!n-wk+6L3lNqXS&8O1d-0q$TMV?&v{#~GB)A9U&*We3-L7?W*x zpMWGWPMQ))m}vZ5<{l{qs~`JMuEm+cw~eXy0{I;1)apGz&c6q5@v2V9*Vq9a^94Hi zxdW=o3@&ZSGK8C*KaRCpS%8v*$rt7<1GI2ET0m23hzlWI(|1}evBWXNL9@jH#%$=G z%=0+FmeI!nCw7zk3pW2YBk;cw0aK2dNR9**octvF@i7}GPW@pGcd0c8HKq05Z~zj?S;l_d7_YIu%`=~K26I84IEEo(m{wlo)FNnru2S;F7&}8$SUGe1`%XKwn;6zl z^LIe$AMfkAzbfG1wHYp68W%X(8NMoAyAxb8kNy6^EV0Q?{x@>_SN>_Q&3MvJe+Q^z zok+8+P{$uz-Y>7VI$}zYlR#~kF& zMi}I$Qa+Nq9RoAY)tSbNW2i9GGucX8NW1A+McHPJJ-65 zW@*|ele?kzO}m*9UmnoVmk?ptstJE?D0!PxDC3ReS&pMpPB_o>eK*xxSGeQ z5w^g#g&}(NLKC#V;oE&J-301=6UxBJ7N{Amx_=C*pmo&B_3Ym!ILQ5*uDEiOpZqsc z{FnSmKhLn}zPqMaq8wzM%5DbhqBZ2^Pi%4FRl?63j&p=TTQV&gpEcqhsfef9v%`eX z5`_ofg&AN`?pVHq$~fV$(zfuJo9@7sD${7OpoW(nQkzO;Er2)d`m8{o71Y_DWvrmK z#-}4s|d}$EnSIqS5|Y#``!{} zL-Lu{CU;%tyJG~i0R?{TmsB9^e1b)w=yrTkG3)k<&IAP6OGkQ5)Q;gxNHj{E)l8hF&< zt&Fmi&UIn9g*VmAqG(~^Dm(kZ9XiOecr5T}gCO+&igw>eF9BIC8IvFU`Qht_TIy>K z#xV7AHe86rZyrws={Cgb^tD)~gn12a@ZNrFAouSaZD2!I$JG`L{>9`ORM`0w>&4 zEY2DUfHub=-y~sb>>0eoqIJ>&?uWz=j@TMQhs$!QHm^Noz2nNaKc^2132pi=B?LS! zt#vBD%LETd-RLM$w}Mj~WkpY0xnP3uWFXJX45>0z#m>JJ1=;1eieKy+C|F0`AnI=o zI$nLQ2OapJ-mT=yik>_qYkxg<$AcU)D9*1ZO&GzWGnAA4*Cp_PfosE_{mPKmTn4R~ z1~~ZGsm!fM2Fw>_D_uvea4F^YN`a9$rWjikF?Hy|d0EXynivV(#x1>Y-h+J;-+v_# z|4+u6U3jZEwAuugL}gOxpBZCsZ8b;OXLDF=FX5*!u!6@5`&O=)YoO85{SkwW+o7E4 zUT?gm4h)_oDc8yg}h__3fd+%y&EF}_Oj0h$~ulF+mO51;p2e!A(x z12@~>_pWZo)h>oNWKClDx|5PS`HT%l*U?N-`f1`et!FQ{Tvx!mfo#WmzwHD@mXBG- zNA$t^@a3T90|s!8HMhQYk0DmfZQQ*wDg~bT&+9n4cHo1=TffMNj_BJQ=YIQ$3Vdaf zduLw5345B0&3hjkY~uTWlJmd9M+Yfh_0Y2Hz?0YAT@Novpg%o1W$;HUoD-FhbI&9B zBnZ^L(7mV&O=Tog0c#78%=>xHm{}fwI8DD3zhDNsCtB09wn_uN3g0hX^A1A$$dh~Q z@dQZTlf9>RKm!ePo7t=HNTFV>My|&;4Wv1!x`);RFg46It1-zA&1r|~9uqXMxn`=f z%|r$pc%R7lkm^(tT*SjJ^yMTE1^b>Zd zyw;T4qR5HOW0v}b@jGxeF>6IsTm`*Xd45#+>Y#Cmdz@brBb+~5zVgUd1wLKoV5{d* z0GZjGI|>rkxct1!i^WnC54~Dl8sA|70fD+D7EG4d!`2+pc}W(+{67>ZA0hGTG%5D; z7VKCeb-In~l`1G$xG+A|(?vbAiPuv6#(0^dsA{-C8d$gkb+d2UfCHHV-?=y1*gM{; zaIeY)UB-?t4`o`S_%6KDDl3JjgWrm1eYHo`9lT@@;p2eA>L(4f zF#DZAna&|?809)H}B)r6+AowlgnvgDBKJ`q)k6aU{sPiUh zY~4WTomu@3IaN4%%2)INtp+S)@`as$B@cr6>34r^lfbU4e>xa<>p}K~c?a4M0`OQY ze7!j!fl?-W*yv(3px=q1od2p0(6EJcGXFFLDL#r;f{+!S9{Bt|D^?8%YF;w;$CYtR zgL8=JD2%^Mdng@9{#bSPyqD_kTf%Z;N=IX`49s#UBz z=KTF{jcPJ7<)`tdztt$f9 zT~7#wzrGRMLWIrMg{@)v?iK1#dkK&01B@C)WPl{Co|hn z70lrtQ=Dxy!1=s}`y$76a6HDHm9a(^GR_5j_oL;3&tps1#aZTv5pDiShR^@DPszV| z+W+l`_aK2svF?!yrVo783YZlK>%bMaCr9+))Hgq0Cepc#@nqLFC2uuYWGHM%@{q#s zMGq@_o$28AsOq*8s`hZ0!uELEWlJ~^>uj$4gafz^c2j-2XMi|h9zfn@2Ja0EKb=UH z1%smU`wONz@Wb+CL;X8Nr2CdZb%#v{Ot$YCn>)1)SUyLEg={D3k#wKc*S;hUllwF5 z&q$k~N2>YWw(J>#F?SjHsc3uj{(5EVXpRLA6mA^PzGaFJ)$>mM>a;+{vtRhyiqxUX z@8OXGH+Co$8-MssfdOrmg4EAE)&{rH8=nupbiycFF`mLhOklyJV3w(*fmb?Z>Mf^? zH~GoG8PY#aQzR9#8UW>pY<{(x5!}g^VYujH0tZ!JytWxwAgH8-+|#-#1ufrlq+gX9 zz`ZAaemwUG_@y;pqBB|#-aK5axY|5Ll&HJ1oglgu0*`05ulF+I2Znw8!5>udk>}lK z4z~qhK-u({(YP5DjThg1+O7+s21i!eqQ&snlb8p5q;tp1c@GEc!?n?$N|_;-&j9AL zL#6_G%rS*WE%Im(0UyoI{&{{z8M@9EUQj=@4WH-s#q45MhMyImUY_kUM?--hf_)M; zc%9zJ-jH4uBb98+CqrDYAz^R(FEcgda@95ODPqAGeE%hZTogaQnibrmv=x&0cGvbq zs==+Stg%aL0-N~$H^H|z6X#Fw+vZp`Kx03e0pMGmf4lgOIM@tWu%Do`1ac!@74ol^ z7;(zurI3Ufyz%-G>%=Pompb&cUt zegY$2UULTFhIj0NfhWE1weV0JtpRdDrzR`ko7q?pG5g`cC zE*@^CSBGx-9#0(hHmp;X2ZlQIImt2_1+jY z9%_*v-X)LPo>~2ci_$>RncB;GUvrax|BK^WA=R2lovIHX?VO}ns$|ey^YDvT-cC4e zz9vQWfE*^*YYlDYW{B5Qgp>~)lS3y6wbJ1rfUS&FI(>#Z_GYKLX;iaetIuPa`Q!R< zoUXQ6#8ef8-|BUWS6N`Acb?$BIRe}xPM*78u7xQ(2i$xtR6*alJbP4mgCL=p!Cm;l z1a(3Re}))pKtQA@q7E`8Esoh}Vqj`Xb9 zZ>VF=>Epj|`#1oF@>jPm6?0JKka#ZQZwkWuqYm97s-osF2YDga5OG$pAgE8n0NiO6 z-m*_>;XBI@6PjnlU~9VNb*bwr_%-m6`*NKsd@|K_MdvT8V9-`APD0(JNCFb!v2X*{ue1>dw!(f*sJ{+}6xd2a@0S z9~oEaQ4?Huq+9m>tcC(#l@%Xks&3-@Uku*|6FYLbspLUMC`~gpgcE&sSEyvGlcCCh zrWIecI_6#I*?x4`6jT_B_qn`~0X_Xz!3X*57?~4J!xg0mRY4~4)P{1X^TYfg%MWer zj08i=Plix)%jsf)q!F%&?54N6VudP1ld%gls<6i3VfXQZ6gJ*DHO6q-9NgO;Z#{TH z4Qfo~{#bn$K#Mz+RnI?V5xd+ojHgPZ@v1-3Aduw4CKFRpE$wauf69#p|7hp}``gUb z2rEITYhq*$tdzs+8ls~5s@fpQ{jlPOn<)gWpW28&s(}VMhLTd1((r3ud|KU76z=UW z7=PMFT93-T@U)@f1Fxe}w^l-I;oxoAqbH1%;F_-IvDPMWh`RbFG*5{O*=#PCa^#5v z`IAb6E!Hxd`2H8cw}AKe=HWhL=s9H~_{R@mgwsBVn?Vm2yN#qJ)if~9_F}!aN~_f{J5s)`*BfNt4(>ZHjLF^7g3BD-O{F$85Ueq)8?sv*RUVwoHJ&qq z>*~~f=QH#%xQVV=^SK1@#Mo+_*v)_qACrGN*-Bx(p@dv$iXh_a=+;B$$>9t2p=TRU z^hrM74}L1Rn_|v&pH#6`b|5Z`bf{>tVaW-D4_ljbKt0=I_>82?WP49^ZW?@P#}l1)&yta5)0g6Hdt=KZG}YbB)Rh~YOtlj zNbd4Jd1%YM^*S*?0r>u?d|xb(gdA7J7C#0hEXeY=GHuqxu*%}c{aQw_QBYUHKk%PE znExVa{>$AaSJQ=#-;Erooiv`MbbEua3ku%}+el)LW=h9zKO^K%{+g(k%mMeWcn3_S z$bqAKSwozn07xC?J?S;84jrGWvtKc?LYRz7fGe#c6iC@#dw*F8SExPK{_Ns`D-R0A zb}s7RmU}AAPCGduxZn5m%ag)b^lMhyIY|YRE%$%+e)Ww&({OH&;WbuR-iUr#ZL&!G zT71{d!p{gAKAbvB=%&CukEgE1Pue3JRkcY;!*)#j1*7HaT0%Car3=& z6}hn`>vq(~RX)&vsZl?(#RONSdiT`k=tFYG#ow#W+^~*2-R~BtLi3^6RN|TnEGmS| z)s#}fUk)(;A_I+Us=XY^8E5MU)8*PC!^6*XR%SCl66<8Y94i#CFMX{6* zqL!aYc~9kC^?fA;BT1|CX{Xh(*r-}Or(6T_gVy63PVqsrJ?|OuY8~WwNAWA^Trc5X zeK1*ZqCPA)hwENEu}tjm4qSYj$q$|@+U$Pb>ewfKb6YU8I4Grj4jXh;gLT;tJ{wKk zc$G0rhp&U=|86VH(D+LhS)P<%XNZ(QZ~1~{wJo+7u@4>SWyCOb$M?t8yJUb_l5+3M zGGmOB4{P`SO^05MM+^NKHIdr)PWqii9oTALYqDb}1KuhART{uZ36)?sY{W@|qZ77S!&+zoz`e=@XPnpr z$;uc`&_Fw)^)=o>olSiIli~e`Sho3lx)tI+dgG}2dJ=!E89jK((;RYyGQ`S{^TH96 zf&9=<3MkOxMXvXg6OYf^Q|Kj8*G)( zH#3(uhxsGX!S_RC@J`qX_dKI!qFkIW%V#H~8;QMOXD1|Vk8pPf>OBpN6gKy7Y z?jP?RBHlRsEPyJG1x)CM&iwwQ56>9B%iNI~AQZ+A74d)30X5DYH`~XSh&Md@FGwWl z;gRMhW#Qetpd-F>@#%yX{Pvjr-SXxSp?e{xd&d)AtiN`|_lt!hbjgG!KW-(}k7{&i zE?8@kf&W<=2xFQd^r8OnMGP2W?$@g&gkeS)HL3H_IunIYWIJWs4Aud zTDY^kgS4N>C9lim+C_&?GE?@>^=U&&zsjR~>#R60ax>iV1|2X|n}?cz)P(S2<(k79 zD%hB&b;Tw@oAiHa`Fe?k5t7bLW=hK|U~%h$<9$X3IQT$i@bgPK_|u>{*}JL&rG;<% zi&Km@*O&ibe2W&JY+=q9L-*`CI<9m@IG18(PPeFv`en*FCvJ1$nAahT&yK1Pe$%&f z)>aZeP@Zx&KV=3?4Ygr4*<84{kdy31o*q6>qqZuN(ZdX?H*ZRFxp7D-^xgLfE*wAD zZH2!2XfBa_XX^(UJkR(@c`Z&4D{?ze?lRPe>DBp6h6#Qs`Mld8=!y#J+jLjxp4Gsk zl#|IeKb8r#%d{NjGcO1$Yiv_&!Q9Z__bEN;wJ{vJn_bI(z!;?)>P{Us`a+mY-xXnb zhYgsUFXiW4lEnt{1?%{6Ex7&omsx|K77RZNTH_NCh2|l-l`?s0P-1<-KtV4ATE!3B z`OnT1tDl+03@7UX!)_rTUusz_y)gWxy2A(`0omf283RaDQd8^q)Wh53UtawjkcX1D zc9Z6=2GC>nj&(tu7vCpaxJtw^qnVbgsN)L~ZwuOB2yhnK#P>f4-$I`SSp}b~ZPLdcYyJ}&to*p`o!zCdWEt$G&uyos6~NFNLBT6^tjMrnsds-`3702M=NzY; zA>LlT7@#1)0oxMRsd@hh;=5i);cdsXkRvW&Xv>5+#t4=krai3yN$U~cwb|M6@xgW8 zi6iQeWTYjz`dSqzs3f+tCaHt4N8NMJW)-A$y*5i#uLlnbTz^LG|4rC?d6#zR+*hJR zpmTA{R(X{AnA~=Fl?e^@mEC`&s)t_In&;XkWl;56mtN&534HiL_xt==ZIFSR`~{>w zwU3r}U-C#Bg1({hrRmpdF#MfU(ZNd<#EcRIvMr6Ug5!MwH-!p5`dXQ}u1O0itmZ{a zd6vj0J z&v)VtLAI|C?E%wR-)3D%vcT<=0S=#ICGc3kmOZh~1e2V|(yR`sLE;xL0W%LRkne8k zp3C7zW2VVVN1m&q(~(;yL9HK%WE)*`lVOTT&EuOj*7ueu>+DGLWrQBN71OyW_%z_Y zgpi?pJ{_D^r;n}dQ%A`#>iX-irI6qG`7_I56=drg(cmc}J?FEU4)tH+CN3#ZpcIYz+vC0 z8!Di&akca?r3#+A+b5sbD*}JWSWK$dX>sG8dGYQLGBAFq(aL+C5{woPjJYuL;w^S2 znewBOptl$&u!KgyTsSGZjY1iOvww#y5Aeg4bmRLfz6_{y8@gAwlA|2&6i3L|7D%S> z&wW_KhXY$f141vE;$-7`M_LCrh`r!Fws-orfkl8ZQdgLz)xWCiDJND@n5h@j-W8><8`+y8^3(Pd~ zoKk?v&khYI;zxcGBqJcNH;6YlQV$+ZjD)9B$?>ME4lgLw~iS9rpzeN-14p11Md7uK`t^N%jKSVe2{r?lrQ_Vdpc^pLW zvgIs|8U-7)zxzrix+nv)U_%=cO3SFE8qW=cnfeXCnB~;)d?G zZz9yNTTDDbWXJ%=BJ>BJ-{L^a_P&GF)pA(>Q~z-K4|0h0d`$Jjw1+5m$PYefko*l4 z%xq72sX(>Yn-W6MAn{AB|Cr@dE^y>Xwoho&0bL^v#lmqOT>imYXTd843r_{QjH#^9 zeU|&NR}Vir`jzdz_*@y3qK+&bx7J5abyDF;v@ZI~T)+F=h6^*v_jrj$utDdO1Q~Bm z9iaQgb5y}u94eM6pBh(k!5O9Nmrh<4#YKafvRrLJSiVACLBTBmht9}GuI-mV3EEGY zekEjhCfDi4YK9@cDXi}EnKgo|-E;x!*Vu7H#w8jrCU zvqkI5L(ZF@ePp?E;9coRS>`-VJh1aqU)?v-d7k8+_}urRc;!}S?cKofya(w061V1C#+m{7wH4|wax*Z!lf@ONU;V`g38PND0n^x=RO zOTKdg>M|%De&~+66d$tRj*c}-7$FF58|r*}d<$&TI1n9skqtkN*hcD5>EMLT&co)m zCLo%|Nq)IW3$Cm6KE-L$x#d0S-$&E(~A&D!IA7{67S66Fd4QrJo#dd)(o- z5kV651!vdjya_!}Dn$1?&qj!+Y3?!zIrI>=oueD><)8tZckFAi zr4smc^{djc6d~ZXcX1~-)W@HC@d08g!g$v^C34Rn6?}c`_2^QsDHds6q@+)JJt3$YGKYd(8&v;|Ve;iZrM>xm~a+ zj~O057TCAYFN#Jo&pZRREfYN)&bcMb%3@B8a%}%S5e!)UxWsNvs>4S9;M02ixF@LP zKA-3~QN>>I{lo7H*mmS%Si7_eBnHRm)5?;gRDqO|NrN~%3zDoA`62^V_um)K35o)b zAI;Z2{!CaVvhdxJfgdg?H65|EQbNh@*ZN}#%LMK@=lu^&lp#!P=$MW@7YsPuedGUb zgkZAzUR5Yc8nN>3gW%WFSfIUqNZM8h--PN?+3n(hCXdRKOM6w3&EV4O5BElh`;$1^ z!ZNp_(e3r)=f|}X99`@m8?d2BXO%OhA2&w0Y_76p=)}BDx@D>q5mDZL39d|_}u?M3*t05TGZ=wApFy;$PPU^P-_Z3e<4l;3OgsZ z6tFR&vs;|}om@^V@mbeUBlV$0*ZICUe^>_yjAyRE7cJa&K=3(%LJyXw81GFR=%Jy1 zb8?fW7#OP^%hzv^Kyp>x63$3jFx$4&>q>eK<;S)bzpv0mfiyafK|c}Lx;FTJ*Ka;t zUArG3=fwrb)_TPt-w20gLUzV~Qo;b+ZFLP^lF+AXMqf$bhyATa$*kUD7?$R~cT`3m zgCFu~O1)yn7Z+M*d)IWaAYC|_?Scf1pCSu*cS#Lo#;gcVz=``CrrXlZWI^VGL+E`{ z-R#*H%pPJfx-e$%W#k>9idri)M4{{Ic)jH5D`k3i_};dm;I1%F=(C9n2-ctiN1pUh zM_ScQe)7MGZ+8A^{{0_S;e13qoSdE`_S4c0_;c>>TDD#9@C`r7P(p< z*=7m!yP8gL2UhS`2{hNbrikb6&7|M+0qB+TIGMYP6HiB)Q3d^|A-wP^=y8#hM+2L- z`MGy91pf}LU*g8hP_7xwBL&~&vY&57CGb!h(n)_Why!tt`RHR+!7l#zSC&Lk)V-&awqPxb zVV&;0+7p^kmLdKuh=C024_Yi_GtogC!PRQ`sR$U&MAOlis=;B#Z6=*w;=pjnG%I11mO5S6?;_pyu>6y(1*zara;b31E%(z>Og#l<==yHW}*bFc3+;Z=k( z(^c#9e&vot_m{5mix#~y4CgMnZXIp()NFL}-64X1qq@iTJz`34Q4w!Zx zZ9Ly9f?tU9Eta`TAhL^m|GCRd@H%R;ck9qrpxj^IKVPFv%B##!r??#Gr@b%w+$9g4 zuPIH-4Vm#mGmF8NN@mDCrEG4?tc5$X^3;WGCx|C6&p#hB+lrs~n&zlT^+)q+yVp6S z=ZT@6c4b@b*g+_=Wb6g0Z{dE_EeVQb2@G3Y?C2BM1?|?*4JJty7!N%u-(@2PQHI*4-R;(=xBbZ~BA&$sxuVn|H8{;E4(9UlJdE=zCF1n!$ZKG6GegU!Og^A*y( z`^chxBtk$PA6wIMr!meEl#(UA?{JFa8)}wcbZWiCGS7`^t7qc4-j>K1^;QkOv+T6n zDJ6mzKMaRNkF*odyMCsm-ztLVFU1LK1#b}f+~^NhAIf+( zEH|cRHy@1MvEL}VrH7%Ziy`DroBe73Px$`aaQaR2h7zP4Rds$LpbfLTKKD)@l!lYG zGkw-4)M1Nlr{R_dk}#b=b+bl;2aZI09elp;7xBLMk+Vm9wUIYM=ky3CN$2qZ<+prt z9ymmuPp(2G2QMN|6!zt60NL4*4>^rG(B#;8Rhl$Up7|pYNPCtOMoGneS?WsI(IM~1 zy@dw472X`{^^k+EYaT!I+Lnl~9e()ykrKsc_wFPl64dZQ-rl$+i!a32nIkW^rmKNv zBuro4(?*DX;c!$hUJjn=A8kCBtB%1bYoKFCIyb!F(<8>t4n_wqy|JQJMy{QI3MC{Z zp?}raX6lJ9UT1rwkijK|lY=^ULk^P+a(=h9{CQ0esZ}Dov|D}FX$g3nZ2Xz=ISUe^JJ)hnRY>bclNc?MKAeq0jA)gOEDrSeQSOM+g~L)i9WFF- z03pbqjD^%cvARNW^1J_5ypd|0KY4=zm-u87q{&3lvnrVR9%TJ8QcE9Oc}h%MvAquQY`| zmyT)!k7fODEYX5H?nT8PxJc*b3#76QGfCX`t=1-SnI1wq0s<;SRe_%dS3bU$gV0}+ zJF72{!Io5+20Er?!s!RspY07`K^;SF+MI4l3=DRW&li%$?y05KEyG|MN4NlyT^DCoN}z4(9e+cyPUy0Nz(Lijv{#P@&Eh#I8vPsaNL|d&K96)k(0V zLL&wx2R8i39k^jjth?J}o<17kOg8`VZ$uLltDuZVHRxyL^z5#dfCt0lJlQYUFq-!h zPiD0S?9w~q(554g^ht3Z58^a2^VOhP+gnZi(`L?fbL|Ns{LZ)GgM+-7{7H(>FHsRP zG|O62o0uSHA656B6$PjihzXh1k=w-gf5A6Rhfs8U6(_#SeQ6tWO%v{mCA_w7(#FRh z9|w9fiJ)-M%+rHx6zJO-ARGFK6O2!pTn}}T1>(%o^uP-_@ElpHN}$)r2vLn2!oH%| z@=YqqH&z{=nCorbH%0}#dB@lSe+?5J&=s?_hzg@pP~p>?q`FWcy&(frM_yd4(bY_( z7l+xU28XLX)X3Q!PX5!Eq^p2IK}D%-AhyA`u=Y&@xG(6HKkp>fjRb8E3l5Tki^fa$ z=i5Y3{?**`y`oac_rZqFW#A)mTYvm6IuC7ZIUaRyGDiY!6teaiG0Nbw<_#p4d-;)vN|s;6NfGGmG8O;V~*f_OD}1^ zCAC&o;?&|iA@Ad#uDDEYd~x4V>T;eAF0Ni*Wg?e{T*t;m5d|SEx~ee2#Vm^oV&&ZG zax@?)`k4NPy#{Qbxqp$>OB9v|J9VFaXFw*)N#8?MN;pY(;g|WxAH<$0qEOpIJvi%M z5%Y^n5rrka`Api?pj@(&d8@4?ipY~qu`bc$VG-xf)1*F&Z4dH=O&2L}-S@dvmpe1? zO~}1J`u-Q;zohps`?hwwaHh>m20Y09LcNWf5lr{gSU=y2@491C7n8WL>IGoY-ar`EOF+h zQtO{ADLmTy&3-7C15;kcw+`?x5)F2(H|30zbQ1#n?%NJ1fm}hELJRv_Vr=%tPR~7} z=$tAp60*}AI`7P+(fM=Z19A#(4^6<&ipJeg2m}-l7jskL@H1<)`;K$dB zx34*z7X!3GZ!kVZy}vuSSbe0k@f+N zXD0{d&Bd`UE?kH}T4&yUQ466B3Lu-|pUm==9T(5vFlG6w0iJOiYh@RdF_35;#->CD z%RZ`4CS@pbEb>}r(E>YC6f@Ng$phx(h(L<_` zp?hsB_)B1}%eJq#BAKyjPrT);Q%v~s#0{VHLRF{;#-~F zr~0>m!RwpKETyEnl6!kjdtXupz3K5oGODcLDL6dXwJZa^KKJIskp*e%7WFnJrSRFV zOHDw*0tbY+w*+sSAznG;qr$NMi}=Jh<%%&$FGRsGLQwj)BBu4+`ey4Z0G40qRtpUI zLDuS}>b6B$XwBmJ89>?>3((ZxB9_mJhePMQS)!D{n%SRkbzU4RDU0r(JFks3!D%y$ zi$WlNnD?lrzZ6;@S$?D#F9CD{x_qy6IACd>ZO(&XmQX-Mc7c5 zlByDu!UXNm(i4xlA<=WJ?}^YHVPck+&HEQG?(^%cRHQJ#TKgRlkM$(bccUuoA?y88kR98-P_r$G{akF$^57u6V1XjB2}Y zmi=Gkz4t%WarifG@6EBtIrg3@~WmOIp_VlUf1=!oi;jWTw3pQ^w~H6>;)+P!FTi^fw?KnfTP zoFK+-6FZe&HJs=w42iG8KJIw_2Y;&PRbsz9iF0HNmZU4oAc}kWKVLd3M6crGb=sQ` zyvr%GYxYz4u}dC4`)KHAMBxGUan8T?eU3KJmy*qs70RzbFX*2mzZ+M7RGSU{A5*_` zzlR+#P?tqz?Qt|Z95l%L=}q-oYBBgblT-1EO-m-QW<>R}poe56L;TpZMe=iiRrIeob2UV9|}XLW!CG@Q;g= zQDXvBU?G2cxR{IJb6ytOdS6dMd`p_k>HTUz340rskj95{rTrso6M506$bBP!0!Q%I zo0Ug>m8HR*^d{-_cTV6CwLK;Gjt*r9guAfvDS&ZnzimRYCR!a@*sbtR2BM|9s)nYR z5bvHm@4BBV=te@>Wv6o@$T0H!R&1y=bk6^)xy{Z47AEE|Y};%O^>?K7d1EKbT%Anpl=?%z$EI*h>f z!r^rIX>kxP;*cK1B+$_{h)Uffh@$sjjpUx3$0v_ItmZwdgU%a2o=JE^hhp;7MPHby z5p&AtfL-exaNytl-=e>E0t5cL^5nQUDtV!?d5J~@1eiJ6(v^2WYr|YA_2xFNmfmGs z$3*yQmVEZyX~u;PCJ0)c-x|XIs}Gd*Y`JAMR+6Ck`BnanRt@AWCw@b+mJOIEsah=T zWzd`_)i_Hp8Ok4UH1R9b!5gI@a^4pPf^XMW=0(qlx_vcvta)?87mi3d>9?$CjoiA* z4eD@9C~X>L$sl~s)E)*7I>dREHLWmz0zb;6P)2u882+%d@bq$u!CJ32jqMQ$@W`6u z7uAqO3*JRTzE9p_doKpZ>^Vb$ecf$2>~E8?uzQ)(SNDjZq}D5RwtdgBM-%ZG`^V(r zZQ#q?`pioFi?Y^_XKy6IA>j!}*hK|M2w#w!C268|xkr_ePh{ZXA*|fWhyi7$$OUz~ z^C21KR=K!qis*&2aGRM44a&G5eBo4>EL5cYyJZtkMi*47B8+!%LzY2c*Hzs~oNdzT zoYOT)5L0Oi(DhdWhs|(Kc1#rAsxwJHBgOzPF0rmrR7&+RZt)TThOzp`_QlQh8>pYK&XqlRK-)gohGFJo*~0#PEOiCM3xVVv-ma9AYF&I{3vi?mW?A(35=uG6~27u1(DAh1DeI!aQdw^+tW`%|7G#P z9a@GzWeB`B>e+DUA!P;-6=Mu&PNzp-H6Ir3a+Zc0!8XYH+MSVSA)@L``r3W^uackp*iNC#i8fd%Hr!Pc{p_b$w8rVDKvRJ#OjJ5JIc_3 zQWg#^IOXjoE2$`ttUuVlYid!3wI5H=w-OC-{`qLYikA!K|Kb(H?z0$rt2xW2OAk9$ zUvikwSK=G*r#aZ!mv95o>Q$0iqco8mxGIj;xuQve*?Afq_r)z5Q1<)RX3QHS6X&ZgaoXEmJa5dBbVC7{`ko0Cq^Tk;;RGWN!YAXuTK)d}c<*WmP6ZwddumU( zu_FZo_ir~tS)jP^^2A7?G>DO!HSZ;&DUgVwxXj}U}Q~D)^8Y~QUE8Js8U)bAi zUl$O51u0_ZW&4yNT=@CMk%tT@R=9lLt3?hXX?Kg?PZCE)f&shT4f61l#TB$#SJdEU z)b2kQYX4%)i`PRvb4YOe=J_L>Cl!FERVm71f*1bmvPyVMOM)eT8L@sN0id3|?cH2J z@QVC51sGj4(15OTZxin#_P*+Jh*&Tetk;*%mguZt@(;%=ul^E*4v{J!-4Q9!h(D>m z7%YqUxjH;LkIF#Z)i8a2k4-|f^_Mf#2hG-MuYqmyec4=+S2!KyDykWI288Y=bu?zdA7 z7Htzn&Lzr%Tl#Y$cXusFe|`4%WE2+!xTf#WGEjgk$&VR2GPuBxhA+N%2NiO>vs`?p zN(R;b(Ct2AFNApHeo5U)C&6-ookV!q7~a|C)ivR+3HJ|rEC&xr!f1I|jOa-f*uTa- zB+bW#V(NUN-}vq%^3f#r+2=6AKc$ewtG|f-n0~iL#770N;W9}L@o2;TrdQ@?9OgkW z;pG|T)>=r!H7bYOL;|V`zlQ{7tD@K@wyH8Z{{J%dJIZ!kFg=!na#lRbc>a4{u9o_O zYVaIptuZ=Y?n6e_?k^i&*{Gu)u^p~WpBRzC??m1#BMRiTr;#g&J@5-F20DSeWK?J& zx$VW)jfLJjlbb@KfzYf=veUjY5YbwpOq$?;tY1^g?DI6p-uSd?{nZ>?zQ1lxmc)$` z_urgt-x7sA>nBmnZ*i0-WPJJRO-}T3xBN4XP+?$889)~{H}RKGGg|atY9sZ7svNIb zcp$&F%EUQJ8rpj}efRKDqws@P`#&Kwj$H>yE+ zfsO<{4c6WHma1r3(W07NSqbc4)gG{M*}`8(IjOcyNh1q}E9Ohw%1}|n#aUfXhJcc& zm86|C5WtX9UGQKX@2jP;J@|41v#{PM^)hO~l=eQCyVNHPix=ZF=X7LH&06q@8V(hp zVpFMz{L77g6nswmH_nN2XwK7ypJ9S;pD?f2r4*Rzu&+pcCI>%o<;XlsB@}*_rSOO^ zBLtG-4`0|X4Mm3-ji>%{p)sjay8^TgZa}^~1KeB7N!k}&T zDj)h5x#F99kpXt`URQH^l8I+BbO&wi+p}8lRpDD+wYUkALHkvzh;7RXHph~4 zh=)rQjo@;jH%7^@cIaba&Tdxp%Hi7EH#X{!XcL>c$RuZe{fGW&-I)dIiyExrX><23r%Zw%P)&* zP^a7CR(t(67Q4x^=+GyJCZN1G?gBNs66m(w&N+&|yZwumVOj4T|seD4zX zi3^$kh$#s)XMt&*WOdyzUUaMQo;XiA9pDvZy_QSzXu4$S?o`PHwm@gqvWJ@o?Z}h5 z+!w8gqJ1os<~}Jy(^vlvX9p@cWwCUAbeZ7yNjz9TW3vP11%`NPb}ONo7gTw2=b52^ zJ}<51syfP;5tNubB8|)@MY`<^c);6h?^D(^!tY@qH_64F2Ttv8x+Z&cm0jy&iR+M=ra%Z$3+w7N8^w1HcE z=vpzMucqSO((Zh)g!7hen(ZO*CdFv+1X2bAxPCkGi%C!VKkf5f`DnXca8m_z`{vJ0 zoZvzH)Z!~zbF8!Sn7T^Lh^ z>nV<2R~@g(i=5p?Z9+U+AC!@=wZcvpTN{ z-($Nt6)D6XExncn*VTZ=cTW!7x8;GLhiT0#e<;W!GLZUYy8!$y``L0xN*1j)mIta( zBtTd>CFh2TAPTVC`od%?gB-4fU1o}$#VyHEd#4E;{;Q~GKoM6lo_6-$7AcVyx~b0& z3e->_z@wz|+kOGGL_CPVVuU8w$VP;e8@2Fht~?YhOc@IYhpYpQgbkju`STCpSmX>+F`!AuH; znuxgGsi8%3b4D};!eVgmNo2(#Ybo@-m~4Y)1VBwZGHXI#965IF>-G^5LT;RabqY=# z$oa`Qg%rmL$>Oa1vDYY|)A{*a)&*L$dm^UgI`1xcv_E9}MxQ)f>6ICE<&=k&-sAhP zJMhAn7S^XOw)6Od^T+sv-^!xyxU;Rt1~D+Z-D=ghEdZ4t0%+KywW0g&9vc+UBj-@ad17lB8v1PRa*c1^ObnZL9Cv@ zDm-74MZASZRf6tP=#!u6z;dA!dL826XBWT?eX|Gd6xYkaa@7P&kenjy{W{~f5UGYL z%j%x{>ylxIqR+|cWkGZ_cR_jI3t{wAT3YCJktm9CH(@S4D~OD)y<)N_Nuko)RDCrX zyfC}}7JvRQ1qGEI6TcHQf+w$z3!dJX{7-`q+T1Nma|HpUx3L-WNP_Tz?EkRl|6v8Y z@$q4aZ6XCU@8)v~Gf5$PnL8H;FAEWK)RN--J1Jyt$!N4sUJ7*w?ti7#Lg>By>@HHL z2q5tR*A6{H3VLogbwKuuEYfPmBn>kek<|>%U2P#=NcLJ+X-MEhuU+o1Yju%Oh#MdK z1z9Duj32$qPUzHQ5-^r3IyzYS#IxLTuOE{gXFI}WPJumwUWZN|P)BFJMsSX*YXDcX z{Ocu=Axu;5XHVBdK3FmqPYJYFfZcsE&jhY$KxVbTtzJ1n6k++(VsuIcJ@E0qEVGLf z%5=QQBBvv{1yYc2HY^3C7f=V_72-av_=cibS)DHSSHE(~hHhOVdO zg&@r)jqc6|28j1!lNPc3i(d#DP+_nmp>NMCe{N*6!nb3=wS3|~@uDvG^;>sE(6h|M z)w~Z>;Bv3C`fNNuuy_~orKU)tx$LOf@Ln2_u)XB;afciVF&Gx;sNKL)m}fi!Vt8QR zEuTP10$;4i(BR4WO9J+mki5tnOyDxJN8C$)3oEG{eB0+HfR6R0v;5xX0PaV%CFAEL z(Vtsoj~bX{QGbSCf%^yI|L#5b?QIJe>SK+_eY+w6+TKFGsaMEwp-9zAGMz@OMbQs0a`2%H? zOy_C*)19Fc!nPVHwOVQK?QUsQ{qM0G)w(pg_SMm$B!pTJ8Ll3$OE>sbL@IVeP2!0k$ab8iZh~`WuOlz$tTnR%m3tC^bDzjb4SGwoo_a0iMduxkZA963Jm?XcHw2d-kf(p0;3tMxH1A zpN&+}s}Ygl+IAA;bLpISRwzvlqXiNR#!}-*hYUw!=sm}|(0EArhz*+x(%qpS z&6dA~&qq!?cC(a+AA2GP9iDL@osDQwBlb=FMSIr)#U=tL&HHnqaXt!b8r$0cJVAiK z)fV^uO(M>%zpG=cr7|)#y?K_+M;PpmN4CxFq(`T$YL1?~PC*OW&r6tYv%}dxFAKFo zgkh_^G;K732cqKxMj6ydsHS%+Pv2DrWIpBV3`@D}+`C_a8G#(L^^$Pe!GQeN(BfXMUwA9kj-m{jDrgh4u0a zUz049q0?VaYcqom#r|&Qvkaubm&khFAX6^rFfRQY6iSBQ?o$sVwEpAzvyI2szJ9XG z1UoklJ?YJOg-M!58=!-Pf78S;Z_P_;BrZH~)!m;9sopw%Y&d=z)8BFF{Flds?(cGT zs7Ew6yt|;4aX)GV*WIRs@A6ZDRtYnzR0~1G{4!0Oo?iuG8L`#&1`#xWhwthRaT3JZ zS)a-JsszCvN-yh8WfA7MC3cEW62SA*;d7ltJ`E|UjBL1#b)_twGd)7^_n&>z%8jOn z>RCPACl7hS`;YN(+yy%HAk=WLwTB4Ii|TG!r!aw&#hpXn0wlq$OcA`qDmvhjb1#em(N5=IAFWhJpZ2L;e4eC$rkps>msOIW|KwK4+dd|E zF=r@VPbZ9$pL5t`OEIBgN(SBaT_ltqSyNfXDFt5b^)f7)Qjn?b>U?}31um7{uC*mm zf#HeUoG*!ePoFsRqmD>fWD$3-&3kzc8$ZExm4m1k>`$|8ei8bLQ1N_TKRrRD?X|M@ zC3_v0IQ@0W^@tSAG1M~GeV)aFv^TwD&VI)=MDHxVCww@Co34p?A~Nzx*B?(#UBQ{g z%dDJ?MB%Rdk9I9t!biFFW|}4w}8AE>*Ya(PlGfxevd6&6(! zM`5+E{b_}$&?W3{=|`1O?7B9WeE5AC;0a#syUWiH>ap~k7bgY&!_AjYTr1aX1qD${ zw#H!v4l?4|?rQe@{tmNPbg!OO*Ff*=AE`{L6Z~V7o59ivtdM9mQ?}1i7!DjbafqMD zCs&&d`=tyla6U0EWqMc+cH6icb3J@NYg>e=h3fJhz)MC*v(cSq=%sQ=LS2iH}O}?@2Gc?X7FT} z-aU8O3Evt}IBbH*4SDv!?LZpl`J^um_7uAh8}vzzpeeX9dY zf1Z$fvy=yQxR-Pu*B3^!MIO8h%4Bq^F-PA&~idMSs7JJ`NwG?75#-0IV016~kUpYd?)mq1E)^`@tv@<2R| zjN$u!1|&XNy0CUp1B9K0gwvvAfhV=VUYnDQ0-`QjE)LJ)EytdXM1d~qa&teSo=XSM zO$14oJf%?HZWb|jY7w+y>}V?TM+U7PUb(TaS`Bn=xqr>1H1%F!YC9 zII>Lmeg3O26Ej%BmdYY_lj>;Ui#3PE1&SbeMQq-g=u|;J%J$6EluG@F=}#&*9)~H@ zi@{aX9F?KBa`5aOO^-q~350h$@w*DX!8>L1ccTnpWQZzGgzObShcmfvH+HK6-9tvN zj{@y@u$N=kE@M8(tBAUeQK=(rnrQ_u8p0a~HNxxL$)Ly4H9l{n1!s?jzrQ}92}7x~ zmmE$}Aa-#;WAhvj5?UYhpfTk~f2B6QbR}y*g35V)Z5APTc>?z0V^}I-d`HKN_iB%_;?Meu*Wr5rkepDVxb-P6{bag#=x8>&3p%C|~$WUc&Ag z<*p`MQjidf>#@$xEnFZdXYN88JsP{<66`Y}17*Jgn8RBrh}-?3Xy^-mC>z}!@wrzF zEyNak&* z@P0xk-@c%EW~%=ymX^%n?)FOz1mlIL^}kKw)7HMf)g)En+{xLmodlj!W0ci*PKX2@ zS{%kT!EN{j&$Lxfg5Oi)CpZ82i4gL8@$E~OCK)Zh^x((eDx$Wlhx~Is_2Obe=XR9X z_x^96FK-98YPw6aKxDVSS9&fPB^{{mA3P=v=EI%Vc(x=IvKTz0B)4Ou1!IQ8SEbMu zj-UufU0IO*TGt^#X~XpYnHin?E`&ZOUdW$X{)yF9Yotqc3qiSPL_*_HLYH!d8oM!$Fogn8>ZOQ@Ah@$p!IFsy(i}WZeLARe;|YhH1J5I>%MH#SuXrEz+B z?2;1z$I~G1>NSiV_%3toMcN{+$>BQ~cz}Xl-KI_&brJ+^TKkSDU2fnyr9djorGXvC zZvD7=hXM@8JV$t=_p(1L-)IgL?*5522ZJ8p5A9{pTN^ot)P z!2|n1mh&GR6?cHN>|y%Z zDoNCGF!Ib{e}3e8AS~3C@Tbb|ERnvmUl`V!KQYQ?sY8JA;)Z=c;e)4Nvwug?682X+ z!-!vz8=18jd>fXeg+w9!1CBI`;GaWPd7yC(%XDfjxW&(dY9}l12S!T5vx_m+)R}_F zj-Hb*uulY0e|*w0VIm1e1--RBtlij?&(w#%({m%C4lUWj&LLcCVnOH`!RPAxmpn>m zC55a?HQ9^xNvLw9+BB+>9rBk-cMPz|p%&|?~_BpO#TO}xJA)vvC}>$*w|4F!;xJX>-@0KK$$B! znFE+7^7J$beAkaR<1;2G0;U#p(M4TiaIN7^g;(hU<}4q%C?i3SGQ`VjZ@e%6U(S!M zF#I<6wv~di`^TOhy-&0h3OX-TP-Q@)9-h$5fX!}=_!UOXF4eJm)bsIAc=x| zIM+U|5cPR6fITXQ26;6tpSs?n1}EStka|rT zaO=CWF*gYudT?GZ^}RS+PIi(jt`h*m&UcIvy=>@;c*@5w`FtQv`)sde0WW&DQ_Je+ zZ!zTOFmtaVKoC)_J6t{}zKYqn%CuJ3^C7;ti?^MRNut4+-;LIF3h-N4KOx^t7&NH9 zrwsm+hKYK?G}mc9Jj0J4uv+oBQAtnU72Mg3^oy}q8Nx#SQe+eOVZViJd_ySd;%YMkYx+F@MYerRWsFAqq2A3Vc;NCZ`$*s=ETmK-wdem*?-KV0@ zSi!%g+$;HYlmmX&2+Q1`lSU(g=Tdu_CBbU=#J*FOeE-Y(Zzk+%>QPM+O1pZeP?C=p zevZlFriJRruvk%5^@t$QCfUcY*Kt7UW?|C+NdOv1fkkgZ7(lJy^w;0=;^^$aML}sd zG1TL|Wf(2Zf|iU=JluOj4rYjppM^#Yf#d}0)Stn+7&t$D9wYKO)TS$Yoma59KJ_?U zP6Pra#ebiE&WvUc$}6+l{KU&!{U#UmIM6PpHQO&Ad68#!ShOqk1hy>A_a@>z84!!W z<%je#NGCH&YNJvJ)PEVv`!)4ol^^z2*uRj6YIa*bl36>(_HvY8N@NGW@ox(8;q0gixd6WY7`=6~wSpZ|)xH$0@%YM_fGwkoH1R zvJsU$`dA>b!-~R>oHEy5-7b-Y5BVm^MQw_(b1K|I&PIf|SI9fZb(^u|ipB0E#0b0- z`Uaj-^k`4GiQ-{lc^LodJ3l|q0&Wy_IPLnppA{~lcZOLT#`2{DfkIXwSsq6(=y?h9XO zlSZ@Aq1SwjSFsbfEU#`k@E|4c8^I~R*g#4Tr)$&UMAom3cAUKt%> z)VhkMFt&?fF+KMPA5Q^CPqQ=p|I_;u%h8Jl{K;HUdFSLnO%D&`a%A z^IQ>bSX5WRgo+Wl z&UFv>Q@-HV`%N>+k9*)HqiACHi#an(f3;Dc}Lcs~YjWlOvQMq^2DbfQ@WZL9w#T&(r7^=QA z^hGUWE9;dzM8+oZ3TF%Ba||-jzP&e$af{H6eLgtdrowdK{&W=jTu7x>pD?{YHWpsNPbou1&$LUkvL6a`)VI>9ACVnc;S%wb_A zY>1k1l$Rxw8}-;q=Ur&o#&?BY3iv^z4(P%1Yl%z3=&^u&SKkg6Fe)o`@u6@d#gmuo zZHeE-ENB9G%hG}80_$?2^8dX2;^YQ-BbT66T$Ct!k-L|$+1Pk zSVs@jk`wn0=J=4sZ4Lf!Mq;pkK~c$guovsUT&;HN+zNKoo-w^3lY*v6arIN z%_rjzJt&#V$~`3VQA>_|{JC#a95t6JWU<|%pp^WQnF7LJ?fQoJnR@XB{EAgZ%TJuh zdw(joSLe16s$)CBcaujJlFSlmlRBl)*Xx|`90+{q?VL|}fDjMTDPVTfd?pBQ&fNO- zr%eU=P0RB>bJK#1X3LX*+_b3aV4l3W6!F}?FBU8z^bski#vRNb$si{-IuDBg8KnP& zhsBccGhQtTd;d3`7CqH*?9fOPLQ40e%-^pt!|Fvl+2OMsXrTSwrFGIaUTK6W#6M>T z2e&gBBgFG;`gW(U)jnkiEL(PY(ny9JB`ifEk_Xux8KWr=lS7lPiTfRQPGH`jnXWyw z7lay4*6V}{2|j9z^{sJ>K~8qc=PR^Qus+-tq`k_4Xjl~V{iN9;W5C?~yq`E|&p^Nl z!k_r2*9$s9Z+-~VlslAgN(~~yS5GEH5`4IWofqL4fe$6eC!G4wfm>a9ryIbgfEWy> zoM;BPh&+hekNSQjG{^(cf4PKN%Ihg-==*!GW*520U5F+OrRkLYh`bKd`Y4!j`8 zG6nr=yu`VRWH!7{i^7=>=U&oL{~unzKb@Y^2s9`9{0Cpd`;}#3I9kOit56UkUHeO3 z+DM=j^%B==8Wy1MId^+-jvx6knSG!!R)JGO{z7~&sF6g~PHPPg8p!SwH9ql-j_^Ot zZ*Evx$1i0zNth+@!YS>}D|wT@as7piF<hEQXc5Sk`bX4S%q zQd?Yaym%xF)cWynZ_9BbrfTPqH^=C};f_503WFNhl=xCN$jT$?DxJMUN2{>Rxv*Zdj_h0LN1A#-ftvXC@#sZGIBD~K zE$OKkx);^hDsq&-n;&SsUwF5IbB)cHUp-Hc6eb#uA0hlh^lf9))_!v#;pZNWbJfB~ zSmxc#mET0(jZc#=8^1KV+wPJ*w#b4~9#1P@dAElDt3SlTbeapzEtiP)_^P8rS6fG7 z#we&Uwv@GAKoM?<&Q@R3Q$it(Ri*#dM3J=o&U%My+;Dt`+V1x)0VFRW?-(Sd4mP`1 zbb3b`v43o0adDPZ2-itSN{!+|Z?1`FF%}A=r%&5nWZdN;bicaYoI3=NqPE@O-e)pU z6kRYV@{S26=JZIG-w40A^j^!DJUV!EGF$sRuONuri+3(a(nKjIQw7vJ*-_A|!M3}s zZ0Poe{h{~6)F|snV@hy~24pv;-B!P(4%vSqo@Q%l!u-AX$pTy+@~&kRXAt}4LlUyl z8y`8~;WUG(yfHVrG}2`2=Kl{rc+}9~Kqw31rcYwC)BBA}2q`e+M^R9FCZ}@l6%yE; z)ZVxFnHSmkSiEWq;(-;hqYhP1Dd6~i;jqo@IyPnXOY#}<_y1A)hDCk<@j51H80IXj z9DPaTJ3D&qEDK^n`^3mwK=6cbwg>IoRZoT3*{noWM2Y#SpZT89$t9f4fi+_;j1!$2 z^16Cfh#N)Z+BJ{XbHg0}xhT^+fAK^&gP)#%)llp9__C9SC@Qya>hiEy#B&dOp@(E~ z*f-(r!qLWn_VHI$9MTa+jyqT9%Gx=gV$FGgO;QRCtqtW|rsY7Ehk9hs_|QX~&iliA zhdF_LO7I2UygV#fn;p=k;YF9CJa5Lg@I&(3)0Mj;Rx!P=CKT5h!nY&zK`v922;#7Q zkeG8+5cqnyvevhj@VS|Q)b4EobVTY^`s7myxXHPSkCaVdPuecr%|lwyIpRBJqqvS; zesxp!<97jc_uPPm(qm;LV&}wB^_&f&z5d+YV=9M^yvP_znwLX-=ZmHsNgbGw(1pAE z?vjwZ{N{uuNfo&{m*4B+T*6B|OAP*PGs1!UVzc$ytWcl#P0Y|x1{^E?I-ZT_z~tqR z7iw6q;i1wI#|K%sfiy4MD9|*InfA9BNodHRT~eI|7Dm!&CT$p`JXn$KJ?>kQ=JHUp z!Lx1iKp19LG$ya^U`7udD3LP#g2>`QYt!xz)aXbAhDQ-P%BJL|*;wyweB1fkXUjdC zxL(nz8ys3c@Ya)V?TPbqnBMoQlHLc>AZj*PO>H3tr?U_9>a8!}Rh!I@#rhRzP)$@eN`6PRqUKiwn6MUt`E|F3Qu7zf_y&J{fM1Xh4D+=24F7C}9S`pL} zy8TC{iO5$xD7@2KMjp8wpe;FByBiPo3-L0ZpAML z3@DKBPgtMJogO_PcTDzmlb~(+S5@W-5_)4=|DBE4>v8MuOqTRn!gTjAtHd0T0>1HY zT~q3<_*acDPrs>agK_esd1e+aq_52JWjePJe^S8Z9@Nc>raa2tw4D_~%G{X9QB^W% z7+rHZ@JSd6Ah}-Umwce6oxpE)Y!)j{&YpHLCUj)#AGyK^pOtvV<{ih*uz^bj<+4*E z7d%Les_!(DgPN(qd7+FgEJZpw_dpsMmQJk|WJgIM1C>n2bvb6}2yl)t?3lr&53Js* zc=-iyE32*TKQWH4?A6JiZ{R~z`|21j+?dC5ndAx#Zt$c1(wMmXJ{FXDRMo3JTLejp z($L0PFX4sCcV0+J)1X5%Gu`FHUiDr;tcfizD}0b%4%0Uuz*VCz?$-ax0EIt}t^JbP z#6$Q+f9O46hgTK;W~#(}(A8O^vr70#xY9kmQ4p<+DE<;^ibNgmTbmg(wpK=pq0L`p zZi}PLrNFI>7D=Sy5FWMJ%pQ5b{P@;u)viR=j(p|-{(u&>kqpYBqR_|!(}`3 zZUNL>Ig;lYCxupwomaXuDDWom{Wa%QYQ&vUocG#o1H1L`vDzWl4(zAo&LyWDb|7u~ zJYgjGrOH3$g0m9|{}85(!kdH+o5EfEtdSy#{Qd2?oR=xEco4436;;2_mN{^J&%|L<>%Cdz-wSNa#`9cH5(T;+*fhzKEP; zkc38wVjl6m{ZjYg$=H@fn+@ZP`bxa$bM z{|TXSbB+GZ3U;{kBDcHt6Ac)Ib=2n$$-)LJDJ$~PI##mc$NO)!1si#6bkkFD8J}f$ z|LRKcpbTS!#`{8eK&i>TCr?Tcy~>Wc!p|uS=LL0!>k^l7y&H8yZ~9~*V*AL`mNI5I zwO*qb*3yrw&>oiNBX~(hIthrMxc>@-n$MM{aH6`q7D@zUhn>;f;$bv>?T=x z;luhTQ7#o4#NT+ofJsgoSc|Jv^4P^-^|0FuXHWkfO8rCZ(d9^x7#6GMNJ8ybx3zsht zyC!ZW0~O_*uBRVSqs6+fD^dE(c#_XGg=~>YoO^)3&rU`N?Jd8S={`*ZoZlJMh#Xla?4ch;Z(*Z6l_cGg_fxn}%DLv=4$%EF@<#-YW2esquLy@|H@ z7Irx~J-?`u9%xI_zLf5$#ve6nGZnjvg0tJ_^ZpTBsAb?)Q>}bE#=^Wj%M)LZS#~OT z9ePLxvxZf-pH?$i70;RB2@y`jPv4w&Fh(3mk9M+q5I*Yf!W#R$`nbU}j>b30TL_qc z{GR&qNeY7cvtKtJEW%o1Zr$h47lF(Y@)MSC1irRs-5_-}0Z|;PYOYe#cYi@vhQ=RYf8X;Z5kw*P1f|P~mvq%T{p^Gc-R^m~>GH-1B8W zqi8Y;6@F#$l3xfOozIluIrTd-cYkPz-vvj`GBP7lRJ!_g_CI(xKjWiCZo= zc!B$(O6RvNDrDCo{Oq8j44Ufi<6;<<2b)rC^&=k@LqWA4^OeL1eJ{Roo(Za2vC+imudp!-+PuB1Ywsrf|pJ*R34_w8(7Z=?B~7)7W3} z;1vm?-+Lx*7!bxK1HvJ>8Vw<`aN0$+>F_BI2p6j>`jaI<=&LJ}x-QDYyG*kqADjsP za0#!ySe_`F-SdTyFLoBca4czMxlSETKZ;X{d@lnQZby^NCS@V9UiZD%p+$Tri&?F? zL@%aR$8+*LF<%cCJ9yVu%Am_l0@LbeSm61=W9l1jsz^qnvA4FD*gt9JFgWg{AhT$? zD2WOIG|sh4CEbS!Zk~>DMm2m$Ug*Vfu6|)){bkuZr9*`ReF~fmGYO~jbc(q^Ah9>u zbwb~Z*n?NS(5+RU7XE+SpQt&8|KhG9d^gfd+w6UY>C5= zb^g)m1}^lZkNQn24Hej`*VuVikYRn_Qd{c{M&$J7{8BE_SM>HI`o7&qhUYUnB}>Ml zXiv|Sq6xthey^9kxwNr{$G4lG40RJk_jif-(%DObyV+OT$GZg}!J;JI-A)i*RjV-C z&NX6h(=R@ZC3td&^_j|as0cpjk$o2aME+z$dMX94rSGe6#{M}-5iD-^>NA5W30?5{T0WTGmKj}V@reG!zWZI#m>-I z)`Jd(HGE6;pBDl3-TVgLNksm(O(`qRCxZgzv~&lCq*0RRe)*tKeiSoxU9t0(IC|UN zTGaiK7RKMdSkP`8!RCR?Kr)m@m)f$Vm+n)cH(g?+rLaGEh-A&*B|=As@0Xa~u}IuM zo*zeki!Ne{IQKE~-c9`3%l;959x`&%bZ3jcPKGSjEyneD!rxo1;9{gj6VBio$ouY) zG}xv2JU047g24N9J2^Ya@aV*-<=X&3P*kY3RLNsPo&0^5_PXsrseUhx@|W_X@xAYC zmH$Y<+R}DW9Vo+=ny6^WWqD|=(~6tbU<5z+jx6~a64++0f6gQJ(7kL0%y%~ly{Gc+ z0a6S%?DLtg4xr~pu>x$5Tn@`2YroM(Ll!dJO4c%(I?9IVRJOKX6Z^HvBlV7kv_c?w zEUEfxi4qj&4_~}GE%ARlUtUjn?sI%p7$OJmG`*CggK7VG!-=SO+m$d*^| zB(bH%d2;;~my6dh+heCzrC7 z+E83JSqiF5g_{yc6r{Rd@?yxWbcPm<3H;<5?@x&r z&qdHsqr1qUBRlZBWm*qXv7z)(j;iP-I%GU_v^nPNKkWB)qtGD&N3i3$r=g*C0 zjQj1sV{1*^(0ykA>uDBYG*IhwEHGOMS@5Olt1!r*H0|4D!9{MQ;A_~Zae)I>u~5+; zv|Pe(L`#^uA13^nt$(JutS{qlcRn~=*+)Si)eG2a6(o>sS;KNBnH8oD|2#OXK!qk6 z^eP<1iF2|y$Lf3-fon%Z>{}=H3RV2Wp?6$(p}69DrFc7$fB8kI;X=(UKIX1%&wOwk z<9%jg`G}~S+FLt9Lue?_NWZjtb+Lm(+pO$?`cSJ$(kILQ| z8U;v{F^n{_l0@s&0esv0g@BrdH~B%UAj(M+T`krk_*k~-#YKCr;ERVPp56b(3Xbp4#tz;z(a-*nZx@80Y>P@+LyF9N(yq zou5;i#)RD8_Y}=jq2bes=MaUt6SXSf0gU9HN(b7?k0CrvV-+VWn(Ojy*pEvuHX ztng^peD{CYV$B7ra@%pdCu%&$l)3Gi`ayguL2G z*|u}ChvH=mosPG>cC-6!;Tv?_BCeY53}`HH8UGbbZ@AeEb$`tBdT z^S9p9BL=)sJ*2y`>^O)iWe*L`j?=-evL}gF1U@{Gvsz^BOYAkw{mD<8*JHCjurF3NBiX2 zk7-PxnJh!Hy}5v4|O4GLl%uozP5 z<3Zy5JEGi{M3LjGxEZS?DX2Tk!gPknX}!?l=&u>Kgq>~3dn5c|9s6?D$<>Y6tH1uC zt6j4|%ugcSF2}Z6P{(^MnVyq`zV7x=+MUxZT>u zLNa5PPc+gXpG%FNKU9TLh~TaJdMgsJlbQF|_2)duePp2LWkf5sk(8d+{f_XFt&lij zeuWC1d0iE`f14AXq!!*C*2M}A|Bbyjfyeq=_rH;l2vH%X z?HwECvs#1Mxtm>idx+&9J_);erf#$RCq7QrtD6_$OJ^j>EKe$LMJ6%V@60Ga?V00j z$4%0GpxffCV9DScHwH#KjE?2xN(6nt_QR{l6g|X+da|Z*_3ti zEM)h&$?x;u*)6eYS!cX(sWM^9+s-l=IAcJD=?SE zw$epp&sG20jkDXvfA5~rE!^G7U1yZt>KWvR-6E#ae-p`@Fe|X!Xncu|4t5uk?cCiK zw~m}xd$g%L*?)9dwtA=h!~6GB`98er;;_qRUv^{b*5G6Ce*|O@;WJ3zPFzzmk)Bf%AHH_Pf0A-8P}cX=-%5*^B|i} zK%Qvl8T!7>GsvVCkfz?kE`Lwr!&HIfN>^b5&o&nI>s=!%@3pjt*SfB03ET3PbI2EP zOzz}0U+L0|)H@Pod%5d3gP4zX1h@PHBNDN^R3`bLAMMf;vD0|^p1SqQJ$m^c9^q3L z64tuvLrUJ~vhV8NTvw}^`k6((pH2{NxjZ(>!evH?KttBxj&<%_C*wMq*12n)%2_pg(0od?!=aGm_?6j-O=I)&CLyiSpI zimp>^o#N}1Sf}JVrPe9EPMLMeu2XKEe|9AN`Gza3Kd-n>rFAN=Q)Qj1>r`8(`Z_h% zsku(Ab!x9uXPvt1)LW3v5{6AKwB7Dw;YJ|FTHhL`)*~udB5`ufeDY ziwF{;O+;IWD2NE_HWw#fH-A^BV4^>*rT+BiPp=LP4)Apg4E1tx@CbJE2nhCa@~0xq z(KivkX^3cv2+J*1Ej=}T6DLx>|+I?h&rS z2l;V-{NRPXEKxlL0$%K6gxHfMRck%s(zW?wya-)O) zhXoGL$62c_XTfWAIYTwY1aim2cC`B%Vua6B-D)lqft7bW>OLeuldV64`fB0E`2Bxa zZ{xuq)dDeQ(QV|#LGYCN{&Q9;0_xjaettS+f!Nl{IEJhBq5 zxi21urD+PkPp_Qd@Lb(~=7u!(s)c=SXYoa@;F+NpOOe=DD`fidb~1K&ow-zZF>gcP zf5^N0&)calY}Zu}SGr>CisaR6+~&|~W=R(H)j-A1@y=7xLEvy?|B-ae7$0Z@xlF?y zL0xX<@>$LWM87Zl71#Je)LE30>1s3*%g4~2U;oSAbVMUQ1@XHI` z`}15JbgwmssiuZQOx!poVOQdYzW-2n`Jb;d_rv{Tg;ZUjXS;awA+shdQubf3ptMKr zZjnF>V{d$;d*^MDWd_fT+K_!ZjwsD!Jl`4S4?~W;{B$L6ygW8;$V?K1O6iyJmA!rl zkxR1lFL8s$YuQ^W!5jMi=Tp=lFR43v zjeSRe9fXLtKRIV)j@a{kEzg7ixRyZ6}S284jL!s;&N1 z2O_p^2fn{|#~g2oBpJU3zOdURkUy|TWzJ*A!fI0lQFv9WFc@Kz$fbqVWowX$II%y! zh%XbL&X)w-Q} zGWgah>(&jC91nDPMs^ zV10ZYB(IJ}`iKQo9G!GYYP*dYRWa}KYq3?fGq5YMw z%Oyd(_2@kVsJV0=-1(EA6mr4V{kF?iM}pxW!Ev;ANt-04x zvjMa6hREt4B_3v$MUZ-Pm#>*IzBlBH93>IQqYJ|qPX-x6>!d3apRfhgqVu-TFgQYW zJX){ns1|ld)g9F$jNhY!vrM*y5*y;MYNqou+ zoEas3Nj080+-0!yrIQ)F$Y{y)wGtsr9_Yy<9*l|D?1#|;LFoM*G%>b+!$0_srnkS= z_0;s;`s~%H1lob|$9hW|cuu-ksXS5ytq&CLm7i8c9*JxIu}9`mvKdoQO47%a!KO{! z2h_1lZZzv%t`551c`J)(Cq(CnH0xf{!ZFjTp2mxIu>7zqIpu^ISogVF=oA{m@dPt< zt(h~X)eij{?6HH>M1fI?fIDKZcc*fkazn_&nhAQ@Pz=3g;Tq(0LF@PQD95pQ3~oNo z;&69k{{7d|!#_$p)n;6?RpTb08~gfT-vAp@_M1Bf2+H7{Dvhm1i!i>>_%t7u)x-dC z%9$G@#=yueI@MMyOsvwrE}}KY{ZGmsIbJ%Lt+=<$p{s$)3aictDmxTkEmH_SO8A^~ z%ubJKI%BZo_NS-fUa(=T%3xo%gE&|EWhzH+STS{Z>&aUIGv2>r8G=B|Zj+{!7Yd_e z7i(QFc;Z)({I;sh7#uh=_4AE-_{RL?A4Pco%hw^(TJfYuR2K{JE}v}*q)>F~X{-1W z2N)=6Bi9~i!H`MCRG>}|k16Y0&RL7$lyK{gc2hPSt9X}kj#CqK9oNX}mR(T1Rp0f+ zoB>9;F7DW3;fU%K8p_LeW$@Z&NZpgLE8`shtg?aB9s3^)^~PpsLWnNyOwT({lnRbW zwcNBt=1|S*C)Z$%Ge&n53mX6`+QQzAE-3KWnmWQAg)@eiG?a$za9FPDhut-|4SoMF z>*DYI?XT`6OSYg>K^&t|4nveEc8N+k`ISq9DsQWgiG@Cn-!)Q=q1M0$Gr0@)Bnr4` zI65+6Cko*sT_Ryu)RB$A=nrg$`21X*+=|>3LNVKZ(N{YlUed+>2$?=sQ@_89^6^A{ zo1eoCRtr$kohx&*ae`l9Q$p5w7%an86=ahL^Oy%uy7R+)u!UhRqHkvqSgaxgI4rE; zcfzu)`nomF)i{2*ALI@u!8kF89Wf|;+!}ox!5jMidl%sUQvc6UmP(!DQHS2l)(1th zhG0okRsZNJ0WBeyc}__+a4$N(-!)cuW zl&wL{MxRmLcL3VAT~Aj%kR&-6Yh+ z8*d!hazF}HYh7|jCN*$%xMlZ?P-Q$nL}UdCH3&2Ruw}L~!2a#T{)JJR;El1<6r(Y~ z7v~CnA}LcaXhqNL{b+)D60YzyUQetYm(p77vqnJ9O)jPThEQ%%es@Va8vZ0rVN=b) zh%aU=)Z62V2=iaq*5r=x#1&?BWjBPol}LG)1w$n}U83fq7e?+d=k!}A681XfZyuZq z#{z4#QTN^eBz1*PUm1+t(D&b~5dXsc_94BsqfAd1bXB>;fd^G!-#%~BD~CJQ=5n~@&`y#=VS$rxb_7R|ZIfR^? z3)|bmkw;5=K1MD8@6X8}u3y?%U;c$<@^|-kl#y4*CV92sb}xi%_O>!~Yud~8Ym_ls zutRP9fC}ivdvtUz387{a>!aN_HK4(5kZ_4Z6pBB?IqmBe;qml1#VIKR==;pvDe^IZ z(Qto={BI+?5m7EZs9}Q}k~MoiDLG;280a2dGDgDdJw+Nq1~@74IzWCT3i)XUo9Z)y zk?K9>UKQww)@Q$6$!@x$VP5{ybdW#F^UAC?%Ld|;>Cc0kLv3N1H9=;wD*^|jN*>J< zSzs)$ERIIN2eglOkvtp>K?XTrX`W#|?)AuTrak1lF@FEuDe^DVVLqM0b~6SEaAg!9 zBIZ@ZWgY?J5`Jl@DNpylKB|DIj(V{UCmmcByG>dd;aKb4bw*wFyuOTC3#3RQ7ECwXD|vM>%_uW}9z7KG@~b(^SE33x2}1v7K0 zVCM-X<|2YWFeaomXw*;@`yF^CAH4yLhP(pAM>Q%gqEUQ0M-FLyNl zcEheu0{Z5z7D(xpcyr^53pih8pWN#ngH!v5Qx@X`@S=fxLTd|QA15T`l}?ZgZjXz^ z@3|U?P&*6m&+qLp+8SneQ{4om4-JAYQwCtm^81hH`wa0zn#%tDm;=Is7)u-|gCJ}l zSRuWZhohn_TWcHRU~Sea=PHr`&*ZkamP64S`u@97=KrjtZXL&6h)k96BqB#?zojDD z3Rcr@xa@$#iNb{fb`kh2oiFh8S4Zag#157tib%Vt)O2A@7de!45)(!mP?znxWu z8a-g*ZOAZh>I&bk$d$?Ob`a$De*V(L7Ae6Q%G~X)_#LTUduu)f$+FtEot=J&qdAwX z%@>A(-Z{+yp^g3d|Cwt3_&t>60r#dP)zrOz-A`Gs+Q;i)tiU{|2dVjH163Mw@ z+i%`mmg7*97A~ujh85>;_Tm$|xJ2_&HnyLeO~Fq&cD_U21xmL}6!fNIkj`2gl4c)*Eqr@bKYY^z z6Up{$sX0#&bxNL0atuV%?zB$#X%qNw{k>;vw++-Y&8vE1z40+rI7^Me4Ueu+%3jPi zN5SXlQkHF=kd`vjxE_*?)C|dl<$5oSitBYe54FShH^!|W)d=IZiTSg%Y`?ikf z`G&s#_zL~+^>D8Phx;BgIWVwnzU0^=1!jr&?rg%6C^QLsVo(U|kmI{vy{HMlN8S}) zXLX<*=iHz0SOHybG8`W=4Z$}bC*P7_i&gTHM{!JAc*NI#PmIhQKJi1FCL?)pGhnB~ z^@nDJeeyQSHg{)Kr|n=6BDclYd8L>b6GxDGm2H;Z>xqlcDTbI->_O!9k~=5J37K!5 z98LWFz@zRzO!?Fc-FG6+I-m6b$?YPdzAYY*dfM?tkHikyhU3?m6+B^J_9#KZ%^gWJ z4J(z^KKPV$#zTfY3_rrnDm7e9;oDu~xL6&CY~i4??@8eZX6P~A%3T2Z!}4bv7E(6m zC;vV9{9%7;EXv-H>4F&KY=m?>{lswR=aIB?{v5~;cl>tdVh)tG?C1vx|)>0j!!(6)XID{o24#-5JNNEN*-la{(98^Rv}61V4=ot6F)fGn5*n zxuW?~5J`JG=v|*Fh$r4!9=~G`(S_xUTyIjLYklG|RfL3`rMav-o3#_z>o;o}Hw7ASEAYlT|H<0bx3}ka9IN zm9hqi@=M}eZijzmo(8`4t7*oS8)J{i*LRtxEO6OLW9Mx@o4xd@E?X%r#5dg@P#Q11FDxBaE`$KOB|M#8aKv z2d&G=xO-<*T97Xb%ww~!RxV_3jNku79sSW>uG4YpRkRuhUNK2sJoQu>A5m0i;wg-* z>r9Qay`uQiYh78mg9nYxB@Jqq6v6$NH-5*WE+J2hzc#Nx4VfqH-@Y+3K*Gs~I&$r@ zXs;YB;!o0oLNV_i8X^bWdwIhDOp`O{$kOld+nHdkH%qW(y9WgF1HIah$AO0}&o#}? z7oS;P?>+Oz9E!3h=swT;Vsk3T_r1Re^A8UyHluuFl+GGURy}pXu}J4;!3&OPetU_Y zcee}PnAd*P9<{;X#p7>_s9bPv$Ng(r*P=nCWKOB9W&vUnxwmmeK?pDIv-Vhx#c0Tl z7s?))SbXY!&R#kZiy3Zn%4M-oqguW7;$bwr4#&6lz0L%GwD^hf^t26q|Iq~dpX?8< zE=B(j4+%UoH3_CNP{oy);f~N^DOl`coY{6=2AcB*!CQVAp(n}NO8A;O`uhDY2inOX zuu5&X{-7aDxaAZ3)6L-`RibWx)dKIDf__^?IN+Pc5$^IqX|&hfn51a3MRHGVcGkEt zBBrj?)E~Bia*c=E&IC)m%AesBYV}2gtair%e`ma1eI3YJ?S;*H#_Df1{ZVS~lzxud z4CYacx`Pk=L0RHuuGMFTM;<-xuk~zTciXRl+13>`$_8!&13^&a>iEbm=#MmqZ66He zg7CRctyDVG69XO>h)B0Zf;ptN)PK+q4;wsQG8Sjz%8Z**^Z7XVf7|VU!rC1--%{{f zY8*nV==KG=-8twfy;)$N5V4`}|D>M&C@*XN7WJKyR|1Yo%WO05!o< zenSduD7M@$WiBj>FKYhQ=V_JTa@w+g(-9eHMb4imE0RSQIT`VQwJ9bZPsUy*#P`)+ z+#T9?P!;`JkMByDT7a*^;oP8*1CH|iemuU{5NA2ElE2w`V8V=Al*1tgpNK`P1{%Ck zMMM+c#H@$+4s3Foi@rFTesnvJmMe6w=m#x-*2KGmt1OgU9*}(yBPqgYgR1lw%|`c} zF=oqt`o>39xX@;?J}I(C6HT90FHHp8M$)yMi`-#psW+A%copH1vEPj1imi=wlmm$ zFv*rc6m`obR%$|iP2y~kM4S=sr93>a?YS8~jD8MaJgtYdCQ{LRryY=`5=ZhbRRzc7 z>xRPCEbv*JpR>Zl7N53$DQC>L#g|pe{iSE@AeT)`1Q{Dv$DMl)MT9 zTkEh7FTp=psdV_j!d+KP%3Y9IIvb36vOxZ;5fO+x{(*Z~DHLL|-3NCZ%D~Q7)UGO; zfjGD8_Yi4b1kUi!Uuiv&0k5=ckhS)m%9{c`RX9GV;bRB7X_usvAtR`ieUTL z@BBSR4-F2E{6EbNAX#eLV6sUY>1#H(7Pcrt;iNfvT!S{Q73s+&3|S#5<(mrARVVb_ z-|e!0*$}}@33qe}^MaK?HEqx38009mv?cs-N0e(*MkuWjUX<&UCZ>C1aSQ4B5k5~S z{a~DrP*#Q1M2*7gdl$q}Z~gI7-X2sb5j-V?cFHyQ3u36+y`r{kh7) zsBFDYbe2%Br&ic+H>tcE*!`c`D=vBC{II#TD|;fOW_OQF!hc3JvVGBn0+==*Oi z;D4w6wSlFpzn;pVX{YA%n+J7qhHuwc_8uvOmme+T`7R6L1vxdIZe#539an>cD0Cm* zbV{iZ#~yX}ufc^zIMX%T`|h17ArGb^=6bamQWW+HnTtE&qe(Q~14RvN$@As9FyI1j znY_|>S1m!AaUvtc&>Al?UmV&-@ME7&ov0rk@WfMhrn3)PtP%1%fmSiw4L8rHTqFwg zf%wqzeLimt(Utz~q{EY7#EH3(ss~#V*0%*KGJ6T17nw!vj$vmU;dB*NO%BIe;-PrX z55Wj;6}UISLD>Hps!?3l42DZA7nRNZFmxS$%44S;fg9cxTlWZMz~?NdPpq3G_ywX; zP7WnP+waWBhsRQIBu>+&Xw4OwMly{f7UB5edOqg1Q4~VCc<(N^mPgFKX4Y`LBi{+om;dQd@lE0EE+@qwuEyEo&9{V+Er8Z$j+gYVInB1c%gF)>y5-h(C*tedPgjdBwS^O76W zOa|#-H2$c$J;Mv_Hzq-C9*V=oF2}rb!{I6XO`=vh23^-x<*PhXFw_=yJm^^#x{qE| zQ74H5pVpFNlV%<$uCfw&dTjVl{$@h{Hx1`VF7DrBC5r8&4sQI0qKMzyYAWU{TI(^-y2Obdg?7J-Ov`G!G^^*B0f|bGZwNZ1d%oK^@l%?H2EMV-O z{N@XV69T`SX%C3e2DiXaXM3_WPCA9I6;<0{X3Qbr!=fWD$<(U9^K?Pzxyj!|a?aq2 zG3MtDafXvk>mzX?ca%5rsYFfqBKm_AV*!T^4zOkjs7Z(6eS?w~J0U)sM?-RIvxGlh zWnE;xu-^m&w<0f&yM%+n^Nm}dNGOtj#_+q-8ldlH*5Q`7erRgWzvJ>Q6pfvlNj+gv zFwYoc%B@I8RzMonZ94}#VF)@;Z`~x5 z49-k#X|j$CeD7E;l}io*hpnvc(W}W2++9~ZdLR=W@foRE1{>?ke5_G9FAGTF0LTLJxNWIw zxIFvd2`+|Kd-KU~JlyHDx_8(Thx-~^AAhxi`MJV{Wi<~RdUtqV3#B_4KF|iAVOE6p zM8}lK7~%Yz@sms8;tp8qxjVS4*az)L8DbyZH3aQjW?{dNL110GJ}5Kmg?oWt2E>{I zk?!)0?n9&zlq#2N#AMxY{^FsJU36i%b)QD>*k~diYoDP{|D6e$MOWgVy)IC@G<Nm? zb7CJjAo22;?^M4Qw2xRR)$2N;AYI{U&m~K=C^;5znmXgw@SR=n2ziYolCht4Gc1wf zCYRh)?gZ`+6I>H_T#;ADdFJ=5H_q`Gw+`KPgUci*&#}NT;QXE0UVBIAsvOHcw%-Hf zLk-C(3&x1*VcSFB8j2m{u6^t)KHy%ER=0fN46=iU!EffgFmd;tZ&qXs4ra1miC74R zGriG=zLiv{CWH*=djz4N;6%&06Jek{JGpjqTQZ*MpKq0W8G{t-r(F_l!5}WMvo>?e z#5RT|N_3{9;v}QRw>3XV(p+BXnu#YouI}`@6pEsPV>!<`(=nTLXj%`;JdjzxS2FC$dDpc0XRoZ|T)(ua+d7 zr*w6CQa}sr&KbX*1&pBXXTV{rX@k`Ayn$pYC7kBD{;asj5ON8Uk^RPwuvpy0BKXt- z6c;>>`gU1kj%WG0Fau$n4GFM*kr;tkl3Rz#RV{G$?C8%kWUeR@H81|~-4iY%`?nQW zcp^Bv>$xP8Aq=Oh6@D>$_$ z2JUF=6>7Lfi1Q90eaNoV?25{1Wm|SzFTB{4-5$YUyaWrQ;u+vZyQv4Wr}lO z6J!F696@Z*^EErp6)nL>Uqskgqo<(p`>p-%crE{J<^h!x{NLL?%T)|O`p5SqB4>Rt z>3F%~NlhqH#vA-SR~>QOjqbDjau6)etH)$GnB$)CO7UoT1YR+0sfoPl1Ba$GInI_4 zcq_*+?MruuGlS!^$d(A$whle|K^_WUHbwb8Gf5!tON%>J`|lKdalb#Y1T}}@yWd^mn=Q7CPM4bMjegs4t<^l z*8Zqb3hz-`h(Qg-m1jkFLa}?>Y--*1M1&bs30)~oM?-i*X7J_Q4gcW(vcT`}eaT{f zRv#bKjTX3x+5U8gA>3cu&h3r1gGJutol`xA*mS03>(DboK4Q|i z+Uzb*LS2Us!wD|64d5}Gflx>JK#7iT8fftTyn46Z3z1OIP z!U_Jpk4_pPLz?=8)N5;mQ*F6v;Nt|I2;N5F3?~TREnk#YF@T;V4-0>e6KtI&)?DYT zz}`j5Eg)_Oqbq0a4y^iP-&kAK(Ex3H9iFg0LG1{xFh#w(Bu6YBxwM68lQ#ldh#BL3 z2!89cpLOn@4#jF+4g?$taZldG+nGNE;!s^A>CSvp>}%Me9%D_Y7cau)P37!|YYl9Q zG=y^|&#Io^nqTb)j+a{+I%5*?%^Bfiv=O*u_R?~UE*#rdS#|0)BVesZ@XoiZ}q`;UpBQ${QxAl zc$o4Qd80CEDkyv*9Lv43Y?+#g2yj>yOnw`PTh2n4#)|z>EUb0O*}fRh_b=&-CZ}NW z;x&$tu#%1O`!6i;&yzFNrwDORL@(Q_iuNf%RHW>ZRP1gntd_lSl$JyA_FqxSYZ8Pw zkWH+W`HHxEPb;r}NgPM~CZ`9-%ptL9;i06U2^=k(bTft2A;C;?EZ@->6*pIR4Awh9 zU(})5OGO{aLlIJ6M(m(PDs;?huRA)P))Kh~hT>O>)bp}6Q>gWw3QHLBfa%4trZyHA z#EXp4B=!13+wO=0=Wj!J<$d51S%?Jv!DrM)BHAFFvPWTL?v0hf9}EK>rnpi$xs$x@D9gER>a`^E*9`rUE*8ebRlxqQsVB@SK648_eYefbl&{1M&iGxVh>5?C^{G5DtJBhyzC1m(t%)ycYOq^v#4VTh@4D3(0Q#|~rg}M7e&t4j-K%OVC z_@2=oyHiFZRNav#R-FD z>OIs9ns^?4UM7HyFkVM59chPFt|Q#I-=|XzCqjfPCNm~rC05lUUET% z3<>REr5|X{*bTm{cEa}r`Wri&gaW)9yT!-gLik z*&>OM2h3N!S1Js5Ue22de2c=il5H-hClBF~1MR&0_gI{Io@;V$dFhI+ zB}Chel59ZqVmNK~Ss=KAje4sH`zk|wSawPKIOBVxeu}-IF0{Iq2W(0G5s-fLq%Ti6 zT-|qllZXhx9FhHHKVN511Q`e=HHIPL#jmI58NAUno}FT28G_ocpNkx1eZZbt6?yk% z3X~kSu!QOQB6M2ilR;t%3}5bhscuUchp!OdFAGY*uZ;U0f##72yRChg`FJpjaxQZ< zNhD&p`pwzhS^+qioyJOG7z@felHe!8i6{>5yf7V>gpyRPT2=OBXg{GoHzI2V#zeA_ zL@8IyzB8Ua9g_qZa`y+3RRuUaSgf;hE*xe0S}WGJ86fqcuFw7!gO(;yiI;83xEGp! z;YL&*>^+#n^5fhH@wc688M(*s^HtI}g_cxYI=c`uv~hmJe_7scx)R?i)P-Tse&fnQ zIuF{fUz*+RQs+m79ZWp?u5_ZKnt zws645YyN^wEry7*dq2ucVu~lx0?MbO9l$@_TmH0G8K;(&?$dvQ=M}=a>xHOmc$e#+?3<^*6{T$9Q{ekag9VU}eMiGz%g zA*rmbG4fy14Ach&;l+&xGJ$MY3^`a0e8b19QX8w#fca*m(oCtQs0;tlNk4LE!eRU_aju#o9v4B@}SA*jEe`v;u2D~9529V$ua-S!7=##LGw+;{a|QZlaf*Skby6D5myKq zMhM}FV~YukLnMhO&&jQ6AQeA2Xm~pdr61hvHM1&_GyNJ*TM|*vxZQo6;1^sCHT8R7 zn~rBp=hs>}GH|hvh5bBZDJXVst`KZ5#8a#7{ZfJ({_p>+z>W3hv%|AB@b=@2?{S24 z1$w8(TV=n?gZ2?O>Go|Jn14K1x8$OUHyxa|u6;^y+&kMhf13@tyB71_@EgO1Nd4)O zo;e)pEu$`InSqkD(5(K6BX(ZomWn7b!`4D8vKPBNV9Zn>qW;4H`$Utowg$L?mbvN% zKRaPO-qTUu%t_@>15h)#MA!3w0OTzq&w&TBFL9EDJ?rP1{pw9ije` zN3uvd4Nr5o7N7KwAn1G5K{q@Da!w1O3nh_wW9)D)BqRg}RwA#mwk3e#(?0%CieTi( zb6=gIkHRU_L+u095ujWly*?jD@b8^?tF^Z(8ZK8NuTVa7LJFG$f5etRoFUnDwM8Zi z2ToYu>AIJXW82f5=|ofUEurqd8F@OMAGZjaN%X*?JS$D;Y(9+mZ|&>PPr>cWMT-XH zAz<$RN?e~Ei>S8ys{-Ol2tF2W&{&+0KAnU6W_t=?Lv_36>Ya`ArT!y*2iJuCIxeb& zgOk}@P8RYQVxwov%GZYs{X+*13gFi+$xlQrgnV=OpZiHK3-yMP*Th!JkY7~!nl`3^ zInLj+cl`Ci_}M|uB}g4o-JS1D3Fpp*Bh)3+wQgenazhs^Wxl&Y$o`b1>T+H81u)iW6@7IzQrMyIEp@mDGQ!v5P6-1n=w8~C-z67 z`bul^8N}e(wgsAI!oH)5p~*CrPY@Ch2>qfCEyQVYv-@9dqp-Uq!`c3@KN5#crC!iw zLSeRT;R+AX)u=7%wT+M`&Q?2zt_zC!#-TZil$`b84`23J? zUKG==m0@GW4D4&(U(d5M86tX!`w!Trh zduL;R{@>I0W%dWI8O@q#*md+kUY0Qwue_?XSOFfNI+dujrV0`_e}-*t%J4P_7b;_s z0Ar5~^~n)aJoh=iCv!|4(#`!}TFzQRocMN-*;YqrDH*eE(RabV zBjxKj>2M&9ed82AJ&}oos*18#?Do(ss_SX4O~Yx5TqawaI84}E$!2%w!1f}yT1G$w z)X!yh*B8fuR@Q0dJYl_75yXFpQZW*v6QaK3TL|N{f(WVFGau}4Tk>T(9|`JBk|P)9 zf^cB=37s&L12&n`z3bl`il)V@MZ-pEXeis%Nl#RWFF|MdpXjAP`dN^|wR2fWW+vJ} zzY+)Y*#?bjPJ$m~?kwBq>{O)iah2Q+PD6j_iY2X%BV>Ej827(T#VGHc#jwhJOkP{& zXV1)pWu~7^u4FN`P08_kKdJ@&oi3`GT^sRL|5o2F;>UNsJgW*u!Oi2+&!nNSI%__9 z(-1$YR`11ZR>T=@#vOxN%1|CI^@=r;LZ)ehhTvj&+{oS8iw5_Vbt zGBg8K+%!pbybXQ~Ef80}bVS_1`z6hCBM@ZD%BbW5(o=pt_eqVx@GPTtZ*m~+|JuRQ zT;mSnvMJT9pCQ1UZ_#c!M`TAV7QSu?f;3e_usC6UB5>q!SZ!MpmTe?&_Wv?PpUJLm zV!wiM=DVt@=3P&y%}q~J6~@DJ>#>aZUP4|MMcLT7foQCbM6xzHL?D2wzsjXH9cf+M z+PjytAjqO_9l4x<+@nU(nuPP2r01)r7j#lV60NZR5myiZ#4&$qB$GG5TFHpH^+^npQ#D~-)KXqnO@bEhI?5UdtP?c(4d8L_# zYU}-m-ycSycTw8k$uk`S>4NFGVdW726++)V6^8P66cJl8k{~j|ZT$6X25im0f4EE& zivta_4}4C?LoRyWY3WQNvJbwSc@j{F*P#41t&;>PLke-0i4ur6UHBz7UH~1r7pirA z2^;>wb%BfNd#Za(YNLricfgB80~E>6m}aeH(b&~3HpQIVFKu-1OVsk=g^=PGQr6iat1{5$zrS${d>?n{>Nm z2O*?>P5I8lSS)QTWaJ@?$IWW1kC zXXpK)Z?$JkV#gs^$Z?d$xqG5f^()2U$qX!;m%a25h=7k+s&(q~A`F^7t{7sB!mjt6 zcc=uC(K|81;b22(@1;_fgjEb?9*#cn$P0o~W&lm_FDF#y=Xn+71;bK%_k8-OCv1M+ zCzUMQL1hS)s?(N7BKJTvofN{u$d|57~I3*|~(hLZ3$*}s(LaV8|k zE1yXa=0jx5t7jj36k;<2|C7(Ad4ze}BVVSmXb@jYu=*X5gKfU;#{7hJu6gi_nw;2V zMBSKTQn{UhsS~+Z6HK{@k`naC8(CGKkfK^X6sD|QY$ydivks*I?Gz7#_C z#K&Cn{4n@94t-=jUV-o3CgayUn~>AW)GZisZNy{;2S4iHKOo|U%?;$MIfS~uwy$^{+&)HNj@#BuD<>Q-dW>%l{3PVp z3MQQFMF^(!_AEMHi-Bno?_k;!F9getmNo77#~WLQ=H-P$m@d$KkWyt2pN?PD3=SFi z@cwONqCp&{UNAdX=^ue=nkS82X(YxJ9m)h`3HdW&11H2~<8epdy-8{!1wSRJ?RA&`Gy)nqd!Nyk~du ze;1Mj(eySC#?BM)5lyOPyx0KE@CRQLGz$Oe^v%0cQcbrTaAl`)(#|nQ_NypswE}f$ zS$FL!Q{cr?Es1l2t~EldmsjsQDT0D%PMnUJa9+}RH=%})#$c%`=V34;EF!*2P$D>MVXrCbkl0j-t57j|V+oPC_;F9|QyNUhMz{d7c`Lx-ItA)YCN!J${x zAQ1YSwfDY05{j2+r~NqS9dO`COpPXE1QJzr=4HmcVZY@=uUAMiWWy+~$5l9k$cKBE zy%wP^LMk%OJoW}nufV>PkMZb^%*zq135FcAy;_-iG8ltoMXDUYyno4J7zE?CErTa4hGbgoE`I|BjedB&tN>UnJ z+&)z^6ZR!pvwXss0@4WQE|BLfW)b#ljtz2++U4TXTWw`QlL z6mF|K%`yiSgHi15maXTqArzk{EwDccSF#F+UiKYAG4bRaKViMGo8I!JPIm@A4~E|8 zA}@yHW!0@cTxFQx?BPmTsKWn4-g}309meh7p@GtpkQprm8D#_k^@4ffl zd+$9mB1A?;QIa&25)Bm!;raajeV*evp7k5|eLwzjeE;y}I9#9WdtK-IJYOf59RH7V z^;Mv(+vWGcJNN%L>zh$bCC9*1334|(+xZ71QRcnW@QF_hHiyET1=+7xdEo4F-GJSE&Gz&mJH0Wl}M(bp<<86-x&+6`%G|!$M5BhIxAdwLA5TP zq>1mX@M^qbfobYzEwR2n7_6StKXk$dWIF%y(*D_Epqx{Tw89qKSIHVD?|Gs(&o!WE z%?A1_*ZQ{~5OeQr%CS(MNcfK237lXz$2aHJ?7>Gt;GtR8)FJbNobA=-X8jaY#!2l2 zi!)Rnh4O9B27mL+ z)?A<;bHD#kyd@SFOUNJo@`be03-)iCUf5gn>xMRQfBk#z^=rE-cf7b%FZbqdJo4K# zlOzwu0IF#Yb{AYBP&)E_kjNpZw5^y;{ENkk-JX6KlPHkf62EfS!w2p4myho@48*D1 z3`Qq@hoH{k(RLeW2+Yn(yT517hU3mfsyJ&;r2mQT_`{t5VZOLTt?6iF4bE^#1g5~n zeaB{wLkV{NxJ7%Jxdz7#eteeXF8nXQz6GU3?(VrQfoFF{!k+|6K#7*}^<04Cw+YUa>|xIwl0ivL zoLMKK`>77wyXj}>VA^ash>n;q*2oh6**GrVaZ5qF4Y26kICgVZ@xyDdS zy=W~&>{C|+Mb4%hnxS2uoO|kv3luJI(*JyHimtEK+u2S2P~)4{k=`SNyBP+-jx7%0 zIC$s8+yW{KY$*SGzQ5c%$j?Wy5 z#>RWj&f5e>b^Ol8m@}U*;ZwZ8B9#>i#+P^ENM5;P;Y-u))b5GJiK2cuR%bZ!!7ve4;(t~o@5JI5-`Dc*ICPFg0#E(rl90^P=DxY>1{g++eN-wuh z@+N5@UGb5s;PzFpUa)_gCaMJgERg|8J_($fq4B!ZDu=1xzpM&=Yr{%rry--LBHmV= z-D1tu$E(Sck7(mmAsZjqZT9ji9z_WFintp>!Vi{2n>r32oawyovqwm}8Q+oOt%ez@~V{|FP&cNcy^;EXuE3sO{@x5-6f zAok|+0^46g=f3|pcSs`$;=jK<_{iu1$L{9qtlv^`?RB-CZLR}W6`x8O6F!Z(v+FXg zxo+q#RVAQTRM#sEQ!nt#O#VMUpSg%@75fmkOY}ej$s944!m1O@NcH+6EAzv6ZPe=qd z4sd$?%EG}_vdRD=*OM;$SoUacGTw4^(~vBL;?>Wdd1<8-=vIW#ZtcNil*#|)*7qYaU7GH%H&8GWV;y=-26yJY6c0xzpswOl zs#=%=H1h;*p0Lrt1Mq-Elcl~@3F($ z8|uD6DtCxRg*?-9wt&fpJ$g@$x?v%Ltc-5P6spM{`=clW@UTnr2Z(LP5k7da^%?$kp|CBXY&P*`J|56IRqRIe6-<(gzl)f>+6Qe94Uxkcz@H*+$2%vA9sgZ$VN z!Uw1&G;=M`G7;}wTDFEC`XK5iRZ4ue3$7G!uIHRKLM)H#wLFdqLn z|0&8}N`_O8WylDTA6_fFTN#mA2nCb3 z`~7Z?@9zIP=M##$+$!IjdW3JMos6>nDs-x58!2bD)$XY5 z4Tr<@j@~BO^=j3LM=l?uIiIwKJb56OqKx zL-nbQm^adQ9$=bCf!Simd-l`nKh^qLK?a`e7 z^!vASE#01mOyZo;Z6AA!;})PGsXVB!j`e376RUzZu`0}~=2WJF_j=)j4Y-E*Ifdg^ z2Q)#-Z)N;=OdMl2nw*tMccCDczi;OUO%!|8^IZIR3wvDaxUyNbP}&*K@uyB7)sO!s z41F}kfXlU_bW<(N3nmk3QndiT zA0oWe-M&>jfHj0VSLSRWLeomwxVU_9O=F&I@B47HW^8puF4@BS#OyPw%}h9snmj#v zn(#qI`G^W?x+2!!yrWN?c>hOc*szR;*{K7Dk%X>(Ur2(QZq)~7w;mmo<&8$?t0tyh zdO>h04N*zdNSK=6B1h$?W-4jLp-2Z+) z{h#GE-Bs-kt_fqbrma?a6M2`bMFY#+za;R=WMFcv{U)A}8ajrV$r5=*{~(EOb+FEK zMSPXjMgdbI?^QY#jO=fdiglEP#4a7;A0h+3b)}1bG&*Rv>P%KoRl{bRrR5PLQ@E3z zX^aZ8N7oPq<+(6R^fo`^E7<3ZuXVZe@}@Q*<$gZ-*xL}w6hbM-|Cu8^NJrLR)Dl*b z8x>a@{a{&GtB_*v1kKoQQeTOAOby-l&O0w{aiV&O{Th)IAGua=MT6k{8hvT7r#$3> z{cRP3oa-?N3JkDM4|hc4iF#L$${^G?J9{OQ1Y=#`a#!g<4rZS2{Pb_j5yzR$wRWt< zBblBj$AHlJp7pEp@m`FBM0g9cRB;fZw4&OA!^05xt8AS2sUhmm$a_dVAm-)L%$;K$ zz6kqDm5}+x9b6U0F+Hj-7_U=N&zXrv%;_yhH|qe{wH@4wnoh;qN581{sBr8GPFxqI zw8Pmc=CUz5KWNdOt$q0|4tE&DmCIb?AgaM!HlOJS>b%L}^0;_}Pt&!^Q3PXr%Qk=R zWD@wuu5^cxCn95JcfNjJEQF_M;>aE*!J5N;;x=_LESh(7QT$2A@vry94~r$?jO6Q> z=Bfl3F{|yIX^VibWW=Sa%~Yg0iE;3F)uCTYv?Pb{*HRDJY)@0C;Mx>p_oYWgcrNwh z1-Wm+f4cSkdao+0^Z_007E~lto)JKz)VCMPwZwVa#GJGIfjq7S?Kv<%Ck4~_-=zu+ zO89ns>DTcbVqZS?r$otB6=dUovm+YIQC-91fkmW*wilb7@$IP$JF zo#5fT(Pmg0AbfFjg%vi9(x!MV93N8q&ju+?zh&$R-#qC!E^DRizb>*P#B#ggkAN66 zwhk5tBzh#oyde*U8lQgHOCTgB2$3(>P#l)BDqpl_GN(K_N^k?;Uo}~&$UAf z#n{jFQAwdB5f_KH2d+GgLs{hZWcki)T%L0FuzXm9iOm5`j=fR%bd*c&WllI~JyyoK zgz}IsxLfIiZv)CdDl$I&SMZ-^eREl!Yjug1hES)cT0xF5>}CIaK5*j>dhGdC$-<;T z*7qqo_wGGNSlFx0HQzv(l{nXpE)}%?bW@((aSOt~sXxc;(!x6)+4%NZMf6R&O4;<@ z!`Qp|xIdhCVS0-rOq$XPVhyWIvqY|{Z9CVe)Y1+qzy6#{sB(oCS(LnbuLWfLwJs&F z>SFdsSKfw&6G$cZ>d@QSz~F$Tw_T4vCKC3r`9wK_yD~F0P}UiNV4=_Gu>t!)h4#?% zK%A-3*s%Vrhbz3ieI-Gzkh!AXF7_rKYTJ=_#8(|)zJJVNZa=~K-O3Y_a}35qoz=GN zn>iR-Q%xnIbi|E#{vonL!e>#Yw&En^26U|qoQR0WTNcKbd&GiqVp+I-gFG5yxl*OZ zwFD1HT8mr#Q36KxFwO=Y^ut@NtcIB{zKCCAS>~Sh0q;HI4q?q0$X6`I{Ux{|o~s5s z>#S3u+yBbGyw)FauccBu+k$cUn)aZ$TNt(rrEU*DPQs}pZZ8eAlM$x)dqriN}eNk5+-zYxL&y?LvIn)Ny0HG3VfTqs!80aHa~yCk1?OIvdBhUm5#^A3MqrJ<$ORlnv}BuA`7! z_^?Z%0R)U#J@p(2f7F2bX~k9pJUF_z+ssl6stl>df=Viw*|Dt{=V^v7>qhr3&k*aF zMSeM3-wrK&yHC**e)_JdVrBh&UleklyQ@8B28DgEx72sI;hJxUf4m8CKRocQrn@{4 zJ|yRk1^v`TBn8#qjd6Qu7{?7>A$VpfZl*7?rG0R5Y-FSUr!C06^3)!%h2YH6`?cNe z&Zs{`_eC)*4oh!T&i}Jc0~-lohU!)XQL@UQGtsyB|(#G=8YDw4}OsEC)LS=#>smgd>#Ws>3FOKA6rL zP^Bv+;o5ZuK9jBtqIZxhkB-oF64=k^DpmNxH`8g+kv;-@g-%d9HHSes-cFb;HU?L3 zjyC2OBx6XT>iy%>nOO9WO5+qK{44aSybk_3@R;f`S>-4tcmbyET%$=~IR4JJr6~p9 z){p&)6e&jGpFOmcMTIzUOuRRTXOEW{=5IU`nUJZtgGBBCU_yzU2!^J1s<1Hg5s-{!MFBzUpcKV^b%h> zFK}rjy zr=V{zfpPPLRw$d}{r1=71MeINe){C6V&+&LhV4MPySnq$yk$_D9@9%iN+hFkMPs%@?LAd)Tc|!d+agW;-UTR36 zhx<+PVSB$gpoovc(dKd@US0jgvEAT{nji1kgXQB0AI$pcNSSbyZ7w^XA&ozkeKG~blllYXV&!(!qJN|O69$t(6PN$RiNktpMkT3R}@n4XRpT&COsm@u*d(N z{>?;OIodXp%M*{9k+q zAg7KwQy&vx6Llg`d))%KcYWXe$M^=0!Afv3an5P-K>Uu?EiUw^=_~g67T(mO>|IUEXSZey9Y1&ZE^%)E zk9MEjsvfFAm@?d6uKwd-Rzkg&J9X*-QCv={Gj8VBBm8XX-%SN9@!{i%{BT1RY|9!& zc8kg2mXh7eb4Hrrw2pPHx6uR3>C(=ZSJ!RyqZ3s^zS79d(;6U z!ll+sccPFRT)?!u*cK0dZLKtL5;+$u=U*Q^<8b}dGEL&yTzq!s_|cH)Ma=n%7h_Tb z;i9_x?Wt3Q&()PQP%btI5u0f<%kPPNK}v+_=bwStZP~wQ*`El*f$moykNZO`{bI6z zeGL2?tG8HklaT4iSS0l}8!7kMM6O!vg5k)z`={S&5N`Oxy%HP^?Ss#-usa)15hnfg zb`rc)OuP@V*x|!!|HvK73^lO5f}x)M3NBElX*=$ia)?}vi1O}~~J z`Zo^W!X-A&ACJM~tmGuYf?O=R7}zfR#ewr1r7p#nNJ!c)^|$9{L1F5ZD921GY*l72 zIw<5oS6KgF_f{OFBsh=1;kgfaEBCOAff@MV_C|j~CL1%i#}5hGr-6b*ye{`bJ_<#I z5^*;lSEA)8>Pylg%))>6s$(f;jHk)Nqe5}+{Ap|H$wpbgmxN z>dlAGT~M1>)qHTp0p;1u^Gu^wsK4It%5pCpzug#j3lTgVJ)6#1k^?@3zfRL6uQe8& ziGOljXk78&P*$?EV<5bQuQvsh#vtKH`sv2gxtJdCDB*V_cuu=Z56cuJfrjm5lgCHG zmvN%as@5+JmfVdcwef^sy6$8-1A79rg5N#NJK=*Fmni3y=V^%h{Par|Lf}3SWxL~q zFG6#a|7u(a0xkV1okBu~rj}IZZt#r6wdyxVa^&LS!F;Z!HzXFiYW^QA1QKzY{SadG0OUe=>~N1rRq)a<^3;T-#kz2%}zTS z;MD=!=eM7l`py6jmJ*VC z1dVZWqEGgQnGLpkxgVY9C-@4-89Tl=7^D9#l{{OD5guK1n0zX93#*?WT5|5Tg>v?w zQcjo=zAAf_TP>=>Aj@s!V3-|Pc^UQR3126}a8mo2uo?93O*7fHc_J*psmzkb08Jk? zcKs;|!-vh|1CTd^h-v1xb28pw>q)ZWkv2re(%HgQvH%o+6wDn_cSAwjvC|x*;n1h< z|NAwH&ZnB;|>4&fLjEWleCDAh{1B`+TP#{0xA1Q==DSy(ze9 zID3*LLqR(Fuj;2Wkqa;_!IP)}ocM8>G@3mHCuyuA?-J*tdD6;51H7>~7y0s4)z1{z zhssEqe$EGf${F24b6;3+ddKRyrz0vPOS45P5$9O5iYELraeR#}wTM3rG!+{qVgx__ zZi1eVQ)3QdFZ?OKUR8kM+n46OKSmLKf6*D7EU_3cORbl&(FJ#ljZ~gc2Hxv4^$kY& zgQoJdudZwkXauo;@LLdOw{NobeznImJA=&o9m%+<#wFESR)d+CoDCZGQdIQoGya=N z!rfWVWzm24abciW`o%&zbkpzq-Y_VJ>a!=x#k>`mtaV%$YRki!*>m{~58@HY|9kl& zX97rn#FyoNuEk^B1ZApcDcG4;Qpv>Hfb3(s>~n_o7*=Ogv(qXEMat$wt$_b^`bpo+ z?f0=n&nG*B(;w-{n~+$EC#9kg!S2*JnQL#faY>gtcR_>bQ>?EPHv46S%aYHSC&F}4 zxMFv~an%ZA1t}vAG3H3$T^lFIr44UGqnVu}#J!R4GkH7FXY_rd&mo-Xy}gyn7u|it z8*$ovgZ5f(h(6uFJ59(L5{G!gCD~1}CEMlWbKey9KOf4S(s05Rx|6ar5rmGBcxTPv zXaF_?x*}RXyMUuHM_H7~jqp#Ewn}}}hfYD0)E9>^`1Vc3mc7(K0vpT2`UoEk*D<{y4`|_^h})hR}JWh2A9RLZ>tP-hhfL^x0==Ru>X*>Ph3H zIf@`0`ziQ&jyVN1HloqghT$OdGuSJ=n2b+)Av<`Dy@=;F;zHn~9H=w*nh2JL;q<5b zbpr;$aH;)R>E;qi^q25ee~(Q^7URT}vv3SvzeyWrO$bLJ-3RZitpwaNDh*oNO2V&! zvLA~Ep-5al{5^Fu9n#}!pN}$R!t+azgC=7zG7XNN8aw9#9gfg;YNB`V9;svEtJ@La zycYa{Q!^c>j5YRsycmOV@tE^WM+u%~SkEQ5u{_X7-wIp08izkl!oT;gmqV2%pUOIe@8bpY5~TG_*@s=Oh0hyV`mvem3Hw$3?B7|Wg#5(UQ2T~c|+~9YkcXoY@CRFd&47z z$T5_;zj;NLf|A;8*(RTK?Bdj?K5gTR7fr_~;=J=f!Z7?{mZ}I!f_GRRswac?an1=* z!&Lkck`m(@4?r3FLF?1C`N$jaJ+j-~6DE--m1VByVr07Q={&| zd*%{R{yu$4`DPWtb5(KLJXZ<#y;~MX_9TIJZOXydw;4MtE+6rdDkk^?@}35aML5Lk zIl?(m4zn}YORiK_BFa7Q@h;-|sp1oi`}#Z&s&oJD9a^qI$uarzs=o=K`uq6Ifn)V} zw8Xe3d$Aaw{S~&2gW6C$MEg)YsSod``kOjSpW^$QsrLm*L;us(w?zIB+p3m6wAv=8 zn|M?}YGQXQq*nqC*Oat=I!NHG|MSO6)Te72x;FBI1KRuq|MST9(3>~@Z0-yKYxu}6*4}%8IuawK&kHXfNro^j&*%j@AH4Wt*&Mf(i{a*`XZ2H2U|0{fY$_H%E}qSQh?F43MbLq#=!cF@A)3dQ0TZT{l!tdq5 z>VQSgWxgEr>EikxgIuJ)KJxXxMm~bG|JXJ^Nd`{}d2?M&A?CS8->dl~L;BLx;RiNl z;Hsrv>LR{J+YXq{F%o`mpAFvWvO)+;y0yz*X~t?aX^LBO2daOZx_#$HJ*48uFK-2n z!-$55WPrR2Hu}s5)%REb4`1Ir!{0^P`HY}t)}=2>^nr3e-4!2@Y=?7gnW}DFmdJjq z@R2)A7hl~<^74pzi|k>FI3{1B|8wzFz6pmG?&{jE*AY40>x`w$FE-TBm~HHPZdM7r zOrCu==Ja6oN~!8}jSVLILuHIcePG$Sekl*Bj&j3z!vf22(b^b@O?aBqK}vLH@tM_U9rtcy}$IC z9gf5@{K&NS2iu7)5_)n=qGxnRW%Rx%Y!B@^N9$=%@Pgx?_F2TkL9|TCDm4b$WUtnm zN(&HuxXG8aCJd8lZ@igy2VnV+|Jo$MO&v9!29@=H5q4LvE`JeI-RJSsab)3vcjp3g^@1l#*_J{vM#84v0 zU#qh{d60>HujN{31Hy4|u1wROD<8fW*}2CbXd#?}oa5kBItr)n@X=%@W3yztXz*z= z5;&Fih*^X|BDYW2Ub`4V2jn;-$x3j6D*enYwq$r${JK#lTLYRy%P+1=R$(&rORbE5 zDN2Vnv&@T&kfOd-%PU@q47=Funw~uL-JN2w-IEH36&gPZk{X~@HiaT136nHempiOF zuyD1xx-O~+Ha77lkfz_W7HwJvWEzz;)VkI&C=C_G!C+u|Pp6+1ay<1Sf3g z0rH{W>I8RkGk=ZHE3&6X9fj{%A?VV}qH8k*Co-g_+w7eME|u46ImI}j>898GUV1wi zC{|?g{U-9WL(y^Jsdo4?L^<5{-3RCHo}3;ca_Kg@-7QOsj%cc#Q~MI?2G5+ZlWwL? zpyK_bAxjp7k4qzocI;lT4R>)cRdvN$54YYtS`*!}Fxc z#5_{^yoShBJgUM%%Smo{z%%^Rw_}tcFq#VI$sqQl(Anl#rAzrx$Z4-Vc*hE4UX&NE zT_k+?F^_IOGCwqj4+S#_YcR4uczX{7nkvZ`g01wk$PFr`8XQ%!3-7s8c_(*i2aZ-kcXlM zeo-Z>EY$NK@EG)ng?ti^;etsnLQg%tFdCJCm*LG=W(-2tUvJFa3xVjz&q;y|ZfL9< z*sQF`f%{T{kE2r#xc9pB(GA2R{T=IvRfR+_>-@Q*yOc|C6G;v1jPqgUrKDHT9uIjh z5`*dewb;W(aXXOkvr6u&Jw8@kj6KVv#o|pdXg=Pe(fg$Y7bmZIc1~x&{2s5){^}gO znZ6sI8k__F&oA=z-qsL3;frSn2|Zfl!>3WHhpzab_<7FYMi71p@;=$}vPPAuR`Z^ZzW5UKjctF2 z2Ck8wpD5T42Zgs2SD2eVEX9mxKD~Fw_`R3ctZrLF&1}XxUL^>o&$StY?0sVvFI7cZOa+qjBR<>U-uJ5$IpIl`Pj=jK`ENG*htG}*1Sy2*e}qC$<$jIqXb7e`H%#iwQ;>G~4ufc8C^(js43GbgM^nj2 zNRCD>%=VOe6%qS2&*>=@ik1MZ*j!C}IhTQCJ#LCwqco^2?CqYSjlzA>yK)aM7T~p* z`3rK$58-mHpxTcKQd=jxdaW~V`r`Lpl}mIedh*H^o@^?Dp`jjt(22p3}i z^$C3{hb%}6u;01zvIGxB_F>$+0afRgMP1JnVy}Q}&5t)}n4aI~s@9newo!fUc1ObB zswLq)bvzMoyEvR{M+)&FN!-$QC=19xpnxl{yXM zz)*GMVyM6%{D!@UcG*v$_aRFF+eQssxGLZ6Wgdq(g~C}^n#bs;e>oGtUH;!~|CTy2 z+&-T|@D$bkR^<;9{FxrR0vDm%pbMSpAo**KH+8=Rt&|PH=lyQEHHg@c`#pW17`Y&e z$0PZmBH`CL{+p!njtOWtq8~}9n_@bJbZp;}KBA7NC31eUgDqRtU(FZ`7+vt#P$zV} zJ0vd?vcf#Ea^u#@3^AW}3$;yXd8v$k!h#g z5<@)1_Jl{?CVI{fU5eLPsq}%{X1R4%Wg@(HOfg(D$$=P~Jo}j+p4h#&oN0wvpTo@0 z$5PJ_JxUt7JDn#p!Ar3Iu8k8u6NVN;Kh89?)^pb#NsaUv-?X2M+{@}|Y;o3CF zhicZ3V^x7UU~k+GCM9y3uY!%NXUw9&HSgH6?|422q|bL=A#`Tb?6{RC;`}2S#&c=Z zs}WYGJGPVJqmkDWOMjN79Hq503-O`(FxHvRPIRroyQY8Fo-QSURP)oVZkBBH@O2k5(HWYy`t)QdgDh58+qd z75ZMI?*H@p-e<(%&3H^3eyd3x9K^lr-~MUYU02NTBuTURjMZI8dJQrPo<0S~LwX-G zJWOHEY#C6RZv%__KCh!kU2x{+q_JbWEf^mNef^uPh>XBZR=H?%Il-r=yzwHyQ0EHK7n2iS z!|fGshg{3|#8VK1BBs4fb{m9GP*7%CiZTMrEN7acgyPU7!*yqJEe}hfeX3&a5l~%? zVjo%a1M43q7c*W*P%Zu4rKl8*Kl9uL2Z{NegwCNi0`Gi~PldH7Cy9{_f3D0j}2p&f1il^ z9kt{gRr94HbR1BO2-$FeK#JHC7WpL5b9=HDH0FbzM)T%)bqTV_cXeMJ2#2}$58I7f zsSq#kT^wpGz$c{!-DSNPg8%$nk%224HpOawcFOg5|KeJei$MXdygt0(_m|Ker_6s| z+*6Lm?fdFhqf*=BpE>otiuJICAhAZ#_Myl2rN=|N@pgT@l^U#OnS{ z42z*r4NR}k&F|aOkK1-P=B!En-_I{;uEZCn3EHA#eD!0uA))8>hgdjoS|Ge4Rb@Qf z2=Z0AZ9c8H!PwhSE!$%Y6;_LXUinT~RyiFf@zWk&2PeJ#yPe?W<>&A2V2l@b;&e^z zdidA*+Aip-CCV>z^tWo;BBQeD+zJk{wU^qdM4^j0Jer5*R4qPGwdspt!<6TJE+-Zw%N5HtXQS}X>D5eNOajgoM-c{*9IXAGqZ`hQ zh8^!IDdXNGxC^M+{1@UUe=)1Y-J&@!mJC+2WrCt9H`xk;|<%svnWGb|8x{>;3 z1tE4hn5b81BQLK3%niV&%yU~QhCT-7y#EV6^@$LR{VqX<_&*dC0 zmaGK}Yif``NhY#Zx)v`Gb9gH!%^gSIW?|*+TI|W&jfl?>+xOykHiDNghI}HbFZQDue`dPCVk_{Qbo~qJ!NsGR(pk<~`)`8g2iN_istBQ0uev z&KRj~P~L($QbLY2Itkgs)Ge>Z-R2%VosQ*d7TDlhlJu!cBR$L=y)e`tqK^x{dAIB@ zhCt5Zo*tF97Nn_|CliKr@L1C7d1p7_yKfraA0?=Z+Lh61w=+KYq%4*p{n`QNDQ{eA z9U;y$##5f1!7fDZBz`eR+Z_Y$Vp~VG1CS+ZK9}>_5sEbTRg{#XAQv85VQOavx@r5u zuH_(t>*sMv;*Jrv2!h)6-HwP?{r1{LK_6e#OS@%4g1|z{M;_xDg7Z8r8&`kCf;IZl z?p!H*7&FsqYcIs1`up?PWu^$?_mZZS^c12bA7a6KV{tZaCqwMMKx{u>`+2U<8Lj*6 zIa`?HaHdw;G4DnomMNqrdfx_O@tFVB_#%SuyWiPLAT|zs%M?^vtnr8yWAu)Fk&Eps zDoJl|6Fi!=i@laye)#Fhqoe4Nj?G@Bk<1Ti$n93S*i76ThUDh=#X00d*RqH|^lLoy zn>UL^iTu@lRSJ&H@DjMtYeZ0Fr@&+H`|TKsd?WAK7MP=`RR!|6#eX=IS`Tym2;wlG&@4zXmUK~SZWi&z1sP2g(exN!g*(9 z4(EbySyU*En7yW07~b_4&c^|R+*DT1dMs%hQ&1#U;i6v4X!_WF2s5rTF7GJ@4!odH zG48;bN1yyJYW0C>@yemy#v@o$vX#iWQip}fRIWFTy~y9#o)^n$MJO$`(R1N0a8kN# zk{8wD_NzzfzAW8vHolyD%jW-nzm&-D{@-VrUGb%^_I{C#Ias}^J{tWn#Ao)Wvk!^B z(eAzlk@su1u=cV47V=sfp{ioDwk4kMtXY_}7BRzfZ~1`YAcB*tW?@NqYkLSk-stF^u_vC$VgJBWo#Kn&kX66oN0A_< zi%a~YM(7!_YX{OV`@?wprQgmQ$v6}EP|j(0EcEz$CIv0Bz*+cfoQWrs=m++>-gzYh zvGY+SBulZl{JHIy_2B|^KN>85LK%lnorbi4>=-b~JR9dcoeHDs@jGc+5tyVmG5#hS ziL~1!lY6=1aqnT8?&$SOtT2B*)+kTx=UK7lVfv|9s<;{O-mL($yN<72E=dLVW_{0{ zX@WE2D)w)pI~wH;!hVnQ9l@Szd&p0z4Ev}_Hz@bz;^EIp{`9y+B9|J%I&vWqK0V6@ zQ6Gq0fqK>NlLP6nlo*H$WT^oueMPRrS__`CyA9t@OvP3PeO|Ln3D_OxzPoAHWBEdd z8;?LOao;J`_!XLj^LkB3lEx~bUGwN}q*4yDAJWKsKe&%RjS+T(;#}CZd{12*&qcUY z%T>L}66p8;Jbe6nJE8ww>iL{R=-6WPe&+&4k!h?kM;SB;xmenY){70W+unOw@ybIS zJXNFJmEVa@?y=vQ8nsZ2+N^I#d4Qh-XJ5oov|uL7fQ5@c74L1`v}x4(p~W9!aevoC z?0UAu9wJ)uf4P4z$ms3sy{?V%QI&DFcu&N?C|(pJ_P0m6aaiawfx@bmY$vrB&M1)3 znClv#>$Mv>87Gmya-CzYCi1@JZ{8Uh$@zefr@%|h%mY)|`tiq@E%CYg?x5y3J805! zRsA5&(OC^5QB2ovZo_enfuVMO2hHf6KB}34M9vgd_W$IZN&l z`B<5wWyO)EFx2Or`rAwBUsH;O*NdWX%xFgqhjR=_3%~Gn?hXQnu=GZ%Xc?##A1=Q7 zo{FF2(!&Gn1pim<(q)Xe!__iDYK+tuhDT6Pe?-FzlaV7|BmL`QK3;xz zVOQ$TMf(5~W!}wVNSYjVB$p((Wy)q7y5zn@A0Y2Hrv_rbr@huxBGL%M$%CB|mt#>b zyF6q6EgSA%xTv4>=3(yUpz+4M1GY3R_f)6n;c1?=^zgL`q900_{@&GMjAjm1yrN1b zxVW1#{nQU&r|MFcQBZ*Ug}S!kdrEPweWjg$y8vc~n&tcA^Rd`ewHC}>4~_#3pRNBj z;#&#(e!jjMSVe|&fB069zXC$9X{p-be>RCu-0>+Ml^tv2UhGBTsSn4JN$cR-uwuV` zWdO-Eh9^(1RlrMKuqtr53vP=J5z-kgSZc|8`R!dRD2oN<+^M^<|7Tf`70pA`tBf@d z3q1HgUEe0f+NOf~wvf%FrY|Mt=OWa}Pq-OO@b+N)V1%V98UxkG4&SvwgyiELTF%Cp z|E||e7o?8J?7_z}j~sAT^^<{lI>GITJ;(Ry4B;=yFjcExx&xErqYGZu*66KcYYjB= zCj65UKU_I{kshr&zeVGKzcJTNH#r61o0yI=-5Vbq{LAk4-V1TQ+v#BJes ziUUe15gpM%+z)@oh#6P~;`nT$L?f>k7AM!OxBr;KO_@4M!inGy#I9)xHdtX|oV_RI zR|xjK|3jvk7LIpHe>Zm9_`@=(I4tv;BkZ}?zunlM3|)D7(TT=vQ2!uFvP=&rIPa7m zeuNJAJX@mfzH2;o*v9IqbI0SvXI0+Yb7^?;%`!Q?HW~hQx3o|2#UR+@#ElGM-dH5t zzSHqnD7Jr_9{8D=0Q&q%{f>1%TzPrQ|F?bu@xGpqsW$`h!M629!+0trXd+6)e-ZPx z_<&bUhf_g9#T435n}VKXb+yG$rHCVq3OPdD(;o4Y9bxN?#!&t;ZGU14SbT*WPSJWn zQG|8%QCb;t&Oe)`QX%})4v*a?B9jO|ZZ@;bbHab>F-!jx3FvV1O!A#c0bf|Bkfcx( z`1&p_HrL(<=}XZ$@#!>}l$#&hwUU8zLye5L&Ne|Ow8`XMP!0O(g$#ntbFt5tIgS2N zBa$t+9rt|BMtxbwVqo)qSiEzc^Jdl~kI+2C|s4ob<&D9XnlHesq*L>=C`s)QS)PE_TzHbtC2782_qPHyXA1U(7R5u9EF#DnHntC`B5V10sb#miHJr;Z}0`&)r|FQ6H)>;w5N< z1eWhFYG!P)cH+Yu1!fy;mDEKm5j}_W556+B%(#L3ZD$Ejx(kLCIT@)#i2eKRykg+2 zH`d!%Mciz?uw$K2Ocs2R+LgRJl<1pXr0%7-@zoC(nCXs>wT8fYHrDg+S4(gzM$+6E zb;6}8K|2AW7bY^q?s?_`f5=h@`xm4d;l`NFH|0n-T)ru2vA*92fAeeU^maKCoTS$x zykDGrC>0=!&;1NjX%dD;Nc>WLiFH2Ao_ImA82i-nc%GdL0^KpKCK1BN^hwk+Ess14 z0g_+0pQsh!`0bP~@eCiZWRA4<%*8^d(&(%2HsL#od#b-s){KO&B07DV1Q&|QgGsHX z2xBQ~9Tmjfa8clLY5WP|9@F!sE@G}4$wH&sFAn7qTv`_)*Vh%;7JDPb-j)pcy#c=( zjy{CNwsT*73Nc3t`{ehWp%Mcp6_|xyq(XRCe}PJJA~+MIo1@B_;PYy*AX2oM=)u`1 ze=@iP6a{4!ZOICouq`t~^zr`LBzI5eSU`08(8@>*gpcA+?0umjc? zxkLlaQ(!4PddV`r98UGW&?482KSU|>lu{3#EWD2CQtw38(uw2%@p_nr1d{!}SpyF_ zF3r>Q4{(g>)bn2l|2OvD1FEVm+ZF{;1O-GCQNRES3P_Ngy5yX5&N=6tv*aKkQ3(nv zU?Qm`Q2`|yK!S>x5D`#OL`CH^j|KGiJ>(!~lYHhPw?6v2fbIi`%V~yEI zAO9X7bjrP?qAlZs2m{gWkHeht_O9ZL1RbGMnx0xPw=MwlPHCUta=U`7T{c^t)D{Z| zQ#0FR9WYd;q2zla0u|#dM{B!@ysK~Pt{%}Pbdbmpu1et#9y`*^jD!R%pVrB^P2{Uc z(|z8%%^(HWy~un{&_v?vdYN+raWPo`g_S8?F&chLH8+3k^+r`}S*;KgQ!r;N9iX7h3%|v|W1k%7gIBs~6|n%SXMCmtPXDAxGp99#)xaYV|~1c&ooV z!EfcRULR$?As7C)Qht8SAo6U^@9AI1=Z7p#rbk7J1W#%A`{zgY5O}iru|m2d2~_7x zUY2ak1ZCCf_S*e9IF_g!99fl*wsGlej!wk$B;6J({XBT#X-W~ zs}VZR+f;KN2CGrkFCB_-+yAODDN{OLj;JAtjkaylVf_ z7ZdJ+2bxJqounJ*~id z^?t2g42|GTQz$aMcn!BSD!*4-oUX~uVh3!tne- ze<#~cLR_+SpA-qj|F}|`L~t{S;3^pj$p)I=uaI&6-k?t@Yi$gr&D5o8ROc|H4Cg+V9f$+7WkuBKzY|~tu)#aLM&z=+Oeki|8*1l zM;XUjKi4eqw-#_uzB#vJFaoE04pZ5Y5+ac6EjgtGiq`P`w?8d_>TA?O3zGAJ78yB~H3z1Zi57C!U^X)D?5GB##d_ z27)}VJbs=KUB6*r?CER2hVMV%)c&cv>>%xb4}eY(4oAobaV zw?zA%wS-|t%!ZpfL0}%?t==k56dU0E`cm$G(wcwr2b$wQV^^J0a@L!tx#M|z_laGz zW(fJX(IHONgAiGdzIT-06Qx5Xe9X_}V4U#%Fk_iBD$`}(WG@q>zTho7ja`mw`2I73 z<_|FDR}MCh*cWWUV0hwtW1k|pY_mzHYs_HJC7&{0}hHwJ!dNEUyUPQG2&Swd$Ci)Zwnos)vI(VPl>9%QCG;U@+bfh?84U&>|)%OT;A;|*&*f3Fq^q+drYn}U-w?O>v zn<{T+^?)Egb_q^>l=BzHaD2B057mTntb{#Ql1;CU95zDng|D%%2~pw;XAVz~5XHi( zp6pAZJ8J^BGRvtCrZ$LbzdRFl&;{STAIa&7ni5IsTY2^%> zGsh?KANQYmsNw0mTRkmrHDPZ(T^i{B{moqU>!exUMsBV(Cj> z!}mXMZvV_5wWKFAcz&l5wvOEm>2T9Qj_XQMoS`Wi7JuH_7weRft&u2c1js*`xbx?a;63K14-Z&QGd%}Ox$O#9cvc& zZ?M4oUh)u&%%d31%sq0mQW@Ecfm`=ii=v`Ps$b=WGFDvo&ZHD-!lBaR#;Opomo?=E zXQTqQ?W(z~)8LKgn<5dhyFo6mg53rq8Zrds51s|)r z;cQ~Re&*vXo@H8JbTj|*uON!Rh>SMc^uGvL!}ou~-2R!HJR{XEf7Q?sraJd|7r2ii zb-kF*_*Ff0D{MQc)+`UHj_RM{<&hekIsopaTPu)uuU^+9UUv@$lKWck9)Ya9%s+g=azEuI- z$89!In(N~0iw=_@aiZ8STUpAH3o6*kA?Nj)%m(`!SbVa*HK1DJPS=!8>_?L9QsvyE zj!2%oT^R>0kYdsL+GD>fv?g*AF6y|U^{Ju2WSJu-dyjQJHY9i`PFuUTZF2yLNq(xk zJ0S*4$xE5b83M;(CaVB}V{7>SGlKH(Fy`TwhK}AQaZHxl#TPP&LF_d9lbtl$Fq)Zi z7$M@+mtQKZ45-V&!rgwa^Gzn0U7BSxTro!Qi(fL!4t5Z~q-M!Rr;VeQ`y6V?&9L-o zMwUj#1|w(mUv6kH!V&Jl{h3e9aqoV{)sMe?&{gVC^SIavhUau&*d+PjGq;+2Y@9by zyl?v4sdz`2d|%L{d+dt)PsjS`iQ*r|Y@!?{QFd$i{yWU|pQ#DwkG-0A5|4r;a@z)u zbBdsq7R-NTpazY$I@8EnNuo&dQo$P<6Ik+%q$~={z~IB}d-sBLah#FHDy~Hzy*!&d znnEPu_0c*l?TRgSrkvC_GcR1-TYgc9_VGc6AliM3w!1 zYsqL!ET5!#bLy}w?z(k;jhu0VBaa$Gu(mVwsk_S}MZM8PbGGoaL;yBSZs5uBlV8L4 zp9!4*g|YhWc%fhHu8hmJpR<=3M3HCbHO;6ahsUo@t&*SJzO)lho$R_IhG5PuM->x(B|sJ;_|i^g+|Js266E z{y3<6M5eID2rN6^PMHe%<9_nN;nm=vHGKaU=KRm_)_$7_W@P~xcue1K&>BAq`O6O5 zmK3${QDcbdU4|)K5^gxUzgL9M(_NlJj6&#}q8;>aR)Rl2y=Up7B?gzW@6MTtVSF|V zomHkto((WDbx^~BcdrMO224@lWN4I{ZUF1oyxW=0%ptXS`5<$%84eb*D@MAwA#&s}se9Kb-cVdOqz7@rljT4@3wNtIx;XezG}YK7RMyEkZ2KOec`xW1T;q zd8->183wN5`_BN<|HK%xU$OWu2FXC>WrtT1mjFZzq#oWjKMEsNBf*n}I?(+=!J1Pd zi%Se#PSI9^*!*JeOFmUi6iPi~zjW9JzND{|%57yqeg8t8pt3F8_EFur|5*h$O-Uwv zqa0wwE)o`Kr45rUukXncMavF5o-vK=us{=a*d-l}5G1f({IZSH4Y7f=G4IE`;gIoN z=f+8AbZf*bTqBB9?%Mi`!Y|(t+EX7KSD!jyfbt!c&If{*Mf*|Zsksks-`%0}{Xp~@ zzW)<*|F8TO4=0W}4<2bmz0CcZkfQ`D*Vxnfl0vZXoiH2@)x_SL_t|cpQU%A>3;ZJH zg1CDiAzN_*_%ISu+q7RF9Xo`gIavi@~u9%i-*ZW`x7F>l?*w*g{k3sKJMniqr5-lIQV4CL@pSfHydPzg^Z6|6Q2t72RJ z@}6TAT8IuVXRaC~cz$}qwk}psXPC%NiDv#Le!{(T3C+OSY}Dv4pf zb(Z{bxi`d3U+r}$)kanVpNYgmFuJ@0zi4VX6Jp{6itK$Jc$xFOlWoiu`zD`VEW95jYUEw90Q$i5GsNv1A-~vUfeZm2~ zgh=e#@u#-HwpVZZYV!b1bK}!J>qQV^BJ|D4P!=o4n%Zx9D5KYJlQxsME)H#s6FT+Id@tN5?O!MW?;n?r81ieN-1+7A zC#5oQId{tB$A~;iwyK++$kIV^0_6kpWn*j{`>Jp_R30MSK7&U_t3qNv{7QnJm8C*r;Uk&>v-==4guU+JctiCBtDwSNJf{ zBp)S;I<4bbVoZ`YLl)~7x|&@?oF$|C`+<8d&=M=Z@-b2l@sC(U>`HtgXvVX^q-ukP zu|!>=4UPz)US^pMk44xwMGdw)gt+^VQdZZ~wfoCI8@_8?-QOJHl7S6nKMOsL7^I7& zq^SEP@zQNX(PU5?e7eKT7fRJ}zI^mVn}7%|Ux>ZCeo6%C15ID5i6Ye;LoU}6PpUx0 z_)eu|i#d*eczTT{Odm}ZTiKGWY{0mZY!)S<3sc($*C)l+*cIA2{*J;Lo4;;bd{X2J zkxSpDsyIBr+^1Rf;x4gY)7yUJx{y75Dq>_G^w@$w{6&lWIyW>QO!iQzwgSoQ4UHy2 zOF|s{$;W$qo{)X{%A}KsABqem&YkJA$Jf`2b_G!ZxRc;^@~}-b+>3_wt4}9GIPZW% zqHf}vfAS{*_%c^}H;1$=OiSt8BzMXpQTU_*vo;5evUTJ>FG(YPdExVZe@?_G4NQu@ zRDxpP*17#(RB_Gm0sr`6Yh>HrVSV&j95SsppRTgmLvbQ>smo6l?QzsKik0>lu28)5 z&5IwH{*vJ#=7GsCb(?%?`{&*;+Qr0 zGcW6*V8^+gHS@LzuE}ovaoQFSEUfN!Z?=N}jllL&+d#0fsw~&?nPBWmw$Y^~H+-o* zGV+-z0tfuwGtMsg;~RUqTL+ClX4=JNS$isQe|319Xz>RyJr#zM)Ii@< z51^(-%eUu(Hq4(=zj3pYK&To2JMT$dJZ>E<@hLfk8qV0qG2*f)m&*)d+iHS9)>lui zo=`z^<{MU1H=>B@jjV~}N+r15o}~HOY7H*|r_*0N8&Vj@9}H2#|tOaqPOvIpJp>5gNt$Wu2M-qk!nsofQIg#(1 zRBol%kfaP>3ZF8zdMl9Id_LyDt%RFqRg#{O?sz-2)R#%EjKxaDgoSDk>`}cWda}S0 z(;ppP$}KrUxm-=UUDFZ=n5Zbvndl<%eENHf$98Z{yFk67CW{Nr=PvSv7=xmAxPivq z4+SZe^_Nt9Q4)I8WgnF<2D-Ss>uvpE;_1OnPVizgnq%L4I}t_DHg2h&aPmfCb+?iL zl@ItHFwgDSL==A%XH%Oz6uXA+e=&R`l-D>U@eqa$cc_1tmqyKErM0_<2o4Rc-rmzF zipYBAy^`9B@TRWd4Lm9dfxZ(0&dLJdcrBsFbjci-^keQBZ`FiA>@vp=Z&T>rl35^g zGQ<{Y+qx5i4zQb@GuTjRh=Y5pBB@hs;jULzyY7Q6IK;w~j$LxcLZ3;g55D*I{3l=x;>)b@p`T@hhQ~DD6cls6E0d2 z>)#T^ad_fJB(wxWQU2H^Al;78iUB`lyidg^SFoFe9Iq^}l9@!@FEx9*i@X@m(e zlN)yn;gzw+1-pIX&{~n*pleLv-r3`t)_E;N$zNArzmM>1`Rg2P{ExuiO`OXx(FO`< zq!fof%HUa%N3_;nf(LbkZRkdT5Znif1%0EPP*5!IF=uK59(S(8_f_2xwVQ_|G1Ub5 zp>ekIFKo~eaxFN4!4wWx_bP5DF+mzdR9DFvLbt)O;Q7=u9gH3H&B!3)*5BryUI;Ps zKw0^SWd2wPELVK2iywNTDsF1MWwi@TA}OOT`Pt!i<6N-LPhYUJT(kF=j75UeWQM>> z09dZwOE^Xuhl>ZB#E-|OBIvTZRhVfO((feotDjw4zyIjqrWda+x)dP@AMP!pMGtsD zY4j>^NM9OyIf1l23!*Sr5hOc1ql&Mh_J`;zB`|xw@bm&?k@;f!6pOMRq93I*zU+`k zZ?0S2tyLpfC&Z9dk?SFNL*`xz!XN(r{*W}UuR6rfjP8sqvIDKk!}BscHn12o-rq6f z0IJEvXNMnHV_;IXH{q~5*c3K<*3>xQq$izWP=+loQL2cN1QY!1C4Y~JuO48Kk-KtZ zr!9xLn)y|DCn-vf-e$~CMh#h1?7G+MUgui?|WzUrlhf&MwCl;$IiuC%`jIf9M@t!tJ z$KsYQM*C%&SNcrBpR3IiSN&Zw#&+J7%G4e=)G6J{_p5_nmoZ`coE7?Qy|2vbD#6NE zm~7;f4bFTj@M?`TME}KB+t*6=sPvumcRgzg{UfVt*6GIRF5ezkO6ck+Ugs2h8DNP$ zGX?Toa^@J{POh3!s)GkYHiAWgL^1YLG<$|0ID$O2thux|7>-sFT*^}}kmji%b=ph# zDI3T9e8bEjsIrIqSA;(bzDPP3yT{`Iw@c`+yS}K>ryg*1io!RNqA1eoSh$S&q&{OM ziu;9yYoD_S!R1Wn_#HdqAtGqZYizozUnC9l@FVJK9L7=7jMj5s*NCJCb)UN${y>w6Ml^?+aty=R!=y{9iJ2XdA?pX z!@JJcKU|-9qOgPShk~#T#s?qFJb3Y^b5x3gi{{}t0D+q3MHGgToO7a#a;>Q4nh{k@W{!8I0ViG zF42Up@nioe_|7$dxa;*74ybQr(Mx~J3d?x;L27C)goM7%G)m=#+v|H5IIB3on(R{% zNG6X)Bc>d_VLdb%=<7}mX(B`Er1kE5eCXb1y*~;<=6E}D54aXB-eCC@5P&+ zKe-E_UgNr$vzHy-3bs-3*Vw>1B)w8IO&}%yW0sjKlW}Ct+vKdn;GWlK409w^pf1Z#Q{kc z!NQyEHF2OR{f5yiD|~rp?lN{f0Ar#xKi)rxLU0=uKjQ;Gw5shgup|6v?#pMsDQ89F z;R16-!oy&&s*}EN;R!?vc}W2su|I!zllU3-yb#Pq`HI}hPXXC>4$9!iYx?&8?D!7g z*rxq1iO9>%TkYR^Dg*x4y#=XX7CzIUduuiP48J*I&fz0KyFH|!8`ii`4jjV4~4I!(cz zXb-8?`A-{E9YEGEUA}qT4!^QpBfo64#??3b_4uUhF;R1dvMb983kB;)j=gZf)q$th zJSi@qp#NBLE5#XC?$LZMQ?Z9K>#}Fz17C3LZEkR!GJ&72DE&uTf3$Ju1PMtvpi7~< zqppO=PqNzN2r8M6hs!TpE2%O)#~q;AmE5*5O$7a`h8EU3wz&D4E%8U50mpw@Cv3OJ9C^3u_qTfJdC$A6 z_<=g8($XCaC|s~uSVW%}9fJ$%dSus${LLGb8T;-K{T$l_b4KZC!QILz*R z)bzLJhtJHewAss+$f(S{5uvJxyJAPXxwLe_-^y{4-k#7o`*hUkEP=a%6MFWFym}C( z*`qzX+a4Zc+jt~X?6CB{@<_C`6TY9=EAfua0;^l(scS>rVYRW-dX~uneCo!pPV~Fr zX56&s_#S5Np(UuSHmh(nVS!^@lP zRxmAoB}5w#jO*zKx=a#$!R$ZU(!RkI>#{6r&)jxE;hnsU5b*@a9RE{s9r$ZFul zt`ZzG2=%>{7r(ZC|C0dx$@&I0fqYRM{yKj}a9IRQ%C9clUpa!tg741^e2&1%WmB=< zNg*f+cg+%I@IWIpw&RqeHr_n@q3uG%m-#Y1g3`?e5VqsU+4XbQpkO;9L|dVa_hNTC z8Affe3GxkI=Fz!Vdo}+Jr)>wNL6s)u@y9w<{Q_Yw1;HP=i_^NB4L!qp0jh&6ekMx+&yLq z9!YJL`M}Lclx_<@RZ93Ry@4EpUT*^NCCi3KY%vBZOy^67dm=C{7r)XS8iDn3q9ZSu zA|V|k#d(!37G3YSPHreA;({f$M>@YIgPFQ3OvZI>fByeAyw#XIJr|h;Q5 zm$rPf$)-GrL!%#jzZOd4;Ubyuwwxf<*Ft6?qDU8*WqXM1k*vOkc(QbcpUI4 z?g*nD;yGR^IT!iBi}us}Ejv4qr|)>>xa@=Dx0t-%idn+ArSf3av^yBtD;`{A^9EIw z*TKl@7+lqiY)O`Ig~|3S^~!sFKu_`dY3FJj)?Y3QVQdP-%KVcUHa8nA^7|-l(e=fV zt)CJzA2`7x`X!yvE)N{tl+B@26bRkE)byfQKV(vhKM@kkMBsk<(;|ePy_5W^2K8hf zHotlJP^TqpZTW!Zj`ZXtB_GvC;PAWK@U_uEj8PLE_Dy$dg6&{hr?;WL!Wx`nF*FI~ZeY1| zKd)5D9TqQA7dP|TBVWwAz^=vxxguTsRe8ksgwIgK!KYyu4(}Vd!t8_{ad%xAHie;Z zqs)if*F(Ybb5zhe+!d8CauW_+3Bzh*rD5@`Fb9Rcvny7PZ~iZ3rII;5IJRx>vSfUEbItZSR6|;bvBW*Pi&{@gpdK z+z0bwAH-%hRM(^`%7g@Bdn#!?cF)e-ykoNh-eb7CVd_D|DEd z9mbvqocA|o14k_BN{aKvKptms#_Wy&x~P6_U!WC(|8DoAUEJDm6MpY)KCchqvGuH5 zul$mHy#B_AH-~KT+Fe60l0yUgqZbxSiSKi^3wtfbS2d7K6;^e5#tv->4&9rNv{Q#w z^LDzA+zybJ+U`P=t^qa|&hHdS0nk)siJQFTjg#FQRvX)F5w=0uxx$91>!dCjz+Ft# zr_|q>R!{J+BS$Y6EYJJk(vbY_LxaJ1*v;!rQy+?;LEGaUdM=~HV&8qeosX){!eKL(HUH$l8{aF<9kY*~GDDXmVc<=t z7=E3J@7%GK3;r*c_PrzF#U65sw*Jc!U^7*hd%r^(hU1M3kuGdF@j0Dg|2?AKl174* zhMFd3=pV-zc^Jb|Cx#ze^|Ae#vs|o|GuRH=Pxbj3;&I$zim_r>c)w3Q;iv6_`;6bd z-x9OMY`KTeSz#AcNyr&K3^4)Ar<&GbLT@;V>ccV7T6fsDYf9^E^FscGCEt7%nZN1?HU~C2)F|{+JKebC_ByCHkP_df1o6UMDn+ zKAZ@okHVhgKPAgKgQ02WXr(vjiSWpMuVq`Z@pD+iH}4_O>%$XN4F{+j^4O-PzH)P&d% z4AqjI^%22ABelIf-HJG6AuRq=LKbehkJ1gkalt|9=fhQY8E}5iuJg`R0vT&hm-`Dt zsC1qf*|*LkMc5{Ud5`tH5r8@}pbH~TgAgBu7x_ln8sPt*E%+#GYzS;Y|}(#kjd zjyqva|Dx*hUkJt0B=@{{!^Yly3&F73GyKJ522k0Ii5mUs4CYRt4n56@v5 zUv&dSZW?nRR<^*!w-c{AOSI7zPg_vc;g1im#$RtcPvCfd@J6Pq2O7U^IKE}V4I3i2 zu;=XyMw@7AX^oj5I$X(AB&h;%wXS{QC$V0~GE?6y3yZ?X@l3|3*Zz21xj**ahA3o& zFn)9iJfUo^-IKBC`1U;5=Uy7> zE9@7p91q4Fm771L1Y$txkZ=0>UOw(kPtN;(OoQO#Uteh(Qt*2IL-Rml9@ecWpP!-5 zTf_I?8Q%)@*?GZ|{CFgib1Y>mA4EJpP<23GuR<=$sP=^WA=8( z`=T~=HiK@$AEyE-K6HwiVE^TBAKcFvqxqQCr;1fF8LtbaBMSqzCAL(@4fe)Gz!w9O2y$HeQ{#l^0;1sGoEMsxY>8x23x|; z<o34{ddCmu%7#1Up6Q5d>6|8F^fO z=-wl-pB3IGuRY|55k&fa(*|-AS-fbvBf8mC4g2p;@2}rvf-5<8!n$?>1fM8+3yp~# zI=szDLFfuoC-c*MH*f*@zU*J2B!h6aTHG8Z}8X`kYS@gAYRUtEzO*A!|$LF%Q;v{>{^k-VI|>=(oEP0(V4#Q{bKUay zqWB?OqiC$*XpJF%ZB->%18ChS&eRe!1eHyQzx{h-h)1rt2Tl;*+nO&n3@w?#OEY|# z{GJC^8Jj$hi2I`c7i)JqyDbjYI}6Z`dm&Uh=^$N!G+udbFm@n#C56}1BWMW!)%GXj z_SW$ceBxp7isJ`Nu( zPRT!fN9@=1)Jxc(w!^^>=QrA=M?%!~RF{5cG!)9q_pNApVlU&7soQVV}4@Mc5S%*`}tJ=B{|aI^;HbF&g;|OMLC^VYvTm@g;RgES?z~8@p>q zKx5;}NQxIe2>s#y(7*l!h;Y5)*ZLToVq?j469*21ayDb3XN2AD9j9OpWr zk0-^iyn6XjWlk;ZyCE(rc)}HwV!R6OQ?6L7IOVoZ zC>&?V`3JMU`D2V?sG8Qq5eg};?w+@Zb=cAI<(_tLXxAA(YWCBCR5y!DXpj|J$G8|R z9c|Hd_oXBYzYY{e$Gesq!lAokf!?vn7hYm7lJo5R@Q`xH=t&KKi227^&o{*5Q0H;k z{nIY+>pVpDt0ov;&uU3$mBaCXD&k^+b`0FIJ`|*lMniX{Ip3ir20{JBi3fH&V6J4u z()w5!M3~-;=E%B$K0)eeK2;nP$yO*ynWLa${%GVp;eW5Is}yEpNrq%))eSj^W2o}F z)a+(?95K^gEqkx01K#}$=Pk0pEudn_+vf-K>c)3WT>jw7rusJ4mWE*co#rQq{}1`g z%~#8+@<8KXoVYbH9Z5;019Dr}^auY>@f{^(xo2`f2E1a&f=QaB5ia;CIV4RF&Og@W zW)eEsTpd~s*K3rKZ@Mq-?Hy%w+sKrixO^CFRx$Zy3x=pwrT@8GT_0>ZqAj)Y2AFx1 zk@V)4DJq*gcRm-jhxB*r8V^FpZ;RokH=g1I5BgEtYf)Q2q*RymG-TR=)mGrf$X-V{ z1k>OCvZ{p8RlkVfyJooD=4!OG)*2} z;F6vi3i=g_Dvv$az9|}`$Ku>HIFdoNo%Pn2TYj*6Jr}nqcrLc*{)D{HN*)lF_uwk zrP1(gT=Z#t6bD8TxnnC)iMZ|@%3vcA1H;On0Y)~7;Mw#wMcnT=PA{6f@Dbk|8ZP5^)9U3{Y&mTq3h4Ly0#>i{Rpg5{n2xn|R z?BSG-U1vH|&fPCS{GOX%l>&U%{O|vt0C%YFDSz7|2j2*r_y^r8_$*_2lZz-Ty?5ej zWqqMBILGZw{Asu$C24X)$zBot!-Erdlht7NT%4!C-3XaaI>LDf{I~JFQ>S`i2T7-E zAID~u@Pubw#xjc&l(hwDCTEnOyUj=_|BVY?9*t^wrsWP#nzNfro*eoTA+MGmn z+vNUWIsZkpdrJ=PPCn<2WsL&$pu=c|dOFPI7Wzhi#=}p-iMk~-1|fl+eHX8vz#+Pq zQQo%#P~pU7b<(>S&xA8l?^PEO^>{W##Dl zg+6C!!qtBBO(7dIFi^Cd6-}_m>wvLQO(IUM;~Mm0s?ZzTiY{HZe(8sna&9DiBlOEA z#XO66JaCPn<0m64p)2y`+?&Umc6gPObA!T#;9;~4{&PQ-%PsI3UG6tfX#kO3=UKbK!V%vY( zMxtiEnX6MO4s@R?&cDAJjP&G+0n6N2Sa3MBE8g+I1HmRTZ&F|EPPyJ%|HTHIm*v9` zKhww88HV^`pGZs;ikA((i^fQDU+lO038=dkJ{{kE41LY3t0sZ*Pz#V-5ehsGLJWWR zmAqKw~;bW8E zId8W#ggi?*RX3Rl(br2kZ$whSzxBGMM{f*_R?n2JS zj`e)f$0vGCDIQl%$P7Jlei-2Z$58V?n_mVX-(|*`geO`EwRIrH)>0>DK;c%=5ac@;XRk94*;`+|1+Cgpow z!BDt#Ixw&^8I#^IX=A4dK8iZGu?!Ihj3wI>cUx~#vmjb%R;XrtMjpa2)#-Ln{w!n!o8%wP8qBOy=IDMR>if$wa300iK zgcKrMuY-J7+KY_U|@E*o*9h2Q-Fgs5-#E zlf)d)oj&{RB;p~G-(PbVse0l{P~F!@Zb5imQ%CxCoh>MPr)B#yyy4qp+sc!zhSRUj z*1tBhLRjawabMkN&}^yjVeAPd^5DxZZX)vA3zmFC=07W7-iBji`yE1G6+5ojJqd@6 z7JvU9;=c003zBPE?{l!TS3+ugV+f|cI&hvwTZ|o`Rg&r3PvlLcPJU6itn7?msh1-55b+T18_N=% z=Yv4E$48tzDvsc%-=>cbOUJY5JRPpv;i$NN=-iKIS;%#^-12iV0c2HI-&wbZBW}d* z-ppt+=2`DMeBYFVc02o&Z`IyV`rI!+?Uo3O#zx)M;ZU4eC)spIISI}2jYIR{KB#s# zRvOF>ft9+?m9tcNc>Auyoi-yDCNv46$E@=(cDZt8KsXuqzu(x^eK>5*KlwL+pR|@! zn--MC=XtThMrv7zePMnYrXd7T?GvI;ybMsUXeT&Su8SS*+zZQ|Dp(@(v$A-sg=aP< z0h9}7$h2UvR^rh|sMk-qx(jx2Q+)fF#mfe(GZ|JpEZoo%V7{$|Ul-~#m4ZQn-iWmn zyQ^^972?81awDnnC@=B#;j|5c^wWHB(8NzF_B^r#4#r{qgGjW_`uX(nC zH$rs^Bt35gV|LV`zIe(TxBIG3+jEDYMeKZ-KdTuwlW9+wRL7$GoeJ`TWaI)R`+xBEkKNB*V zi_gIK+-W{V*=(?p?I$g4PsPga%CJ_(c!*89pL}7S4xyFRf$zJC@3p72J5xte5MlE9 z1F1+VctQ@SKPT#Pcc0FkVn1*kOkpzN(r(3ndVFvE+#kuWW&|fQlELq~inwn&uTRe) zijmUfI~NYBfl0s8%8NuAqQ98L*PSHv%wiLNWEH7_^KjNZMIxR&SrTM?pIHU_2Wd33 z>vRyfZTi!=fH~gCJ8s~qcE-1j(VX8sZBRw|b6V?wKXP+Jh0kpWA^54cKGW9|{HEQZ zo-GuFpM0BFKt5j|;kHe}=Lj9YF3zU*Z6Q&ptg;li_B0&*KXzSLJLZgiYE6zL7Zjiy z{rm&7mn}TD(o>SiM#HiqPK89Wkl4q0(Hb6j$TtWoYI@s+ z>tnI~TfAe`%LIh66jaB{N8(xFecCTnDY)=8&9C@c68hBld@Jio!DPes%L^NekVDNY z=n)VDhA+>KpY+W`oj42EVcM!cExrxEjch5O)CT*m)NL;b-P7|d1|7@hG8o=|+s^%y z9E60X-#)d{g^^?9Fxf?UY;!K<+{8`j0w3o5T2HBi+m%XQqfAQJd_*$Eh}ah|Yx`tP zch3-C8HEE6*1KX0qf~)wlO`lZgB=YCzUk!m4cooX`lHk<<92ju98Oy8=Gj0Mj9Vj3 z(qWt3kn&YVPC~~C&JFLf-zxb)J*B6wWQ!iW=u;&35W4X+h2{q$2z>>rW4G$=@*85O zW_$lD))+J}Ju#nY@B)R$BPDkcf8-b(%MaKUj5F`Y_VMRs!EtWbDPJmrxc?d}FCC15 zBezybQcE+?*`*w-Hnh-kK&=aEXQ*8oEs806pzf> zC1662t<0J>1F3EYhb4J~u+l(aAMx-OCuQeiOGJ2#tZOH+Us>Dq_^7iigrZ)!;*cNkjpXnM%|s!d>)PVt#77snq08%G{uFbjajgluYH@K zQw5eKhI5vVWtfX^ewN$N^rypj`t;1XmS1vsQP_WVEL;dZ@x9&-DLR=!DgtFzA%3$4yS#ZA5 zXA=wcsdj%4?HowNQj&*edSU0Ccg=aqgf5_ITirntJMh&f&1H7^BY}QpQ^T(?v`hR* zd}iX0Sw;g{*;ahzx3@rgJ^=-!J@S(|ewLy^~*Jd?QZIQzom>|{tFWD=4-Kb}7Z zs=}M1KQ)r^Hh&>b7v}>GR+b0gxI~2M#%?lvSU2ZM1J0A-di_!v9 za==CBaZ4++4AhZNtZ(?92l<_%yhXc9e;RzBo%|AAazq42(nGerCDX!yiQ3#?4e<8< zw+{D3qMnlA#{@GjE^LVzKkUgW4P|zhiMlvLESVR3@NTomrTv5XXI8Ax%vrH(RKf)l z8T)CnBpo4gCogehvoF5sc$>49sv_g&c#_Z%vA^Oz_u5t28|Ob%MQrmrhEIv_f{KF)0CZUpI00R<#fl(axa3_wsoL{Q*a-`{!OzuxzZx1KoX zY+wL;FZN!HG1tB4J?H1TrXyArGM}*!^Ed*IF2FO=2)#QQo<~=EgRbg;m*bQ(1~RI> zM%nD3Ui8+Te8ve$gYJJr#bQ9q-gR(Z$s4yE|C|pYcqGTgC&C=oJ}8u7bG-Y+4IMlu zoXMsWAmdL_WaMH7l1ayffHOWwag$q8{_cb`cYiQGLLi>G4*XI#a)jyO`=`Tzj zfwIRj26x+LECiq5(m$R3Up~H@xBrY8D7b~kbmrMIit=c>DKn`)B8apjy!#|H(cn-#N4U2?=~*v zo$mko$OvEAb4ec%I+;w5eQ%tHZICG!oGxA94P)vK&6VS(u-0N66eqWbe1GudkjouJ zaoMMw;?aW*gV2R{jKq36H@CYd+Z!Vd71{x+RuC4tAZ25xiRP$jA!dc!kf*jjxUTMj z`DgZY&4l0NUT)j=!0Snv*LD`ECGkZ32;b-D-gohFuBbpf$_c+zZ7IzrBZ&N7)n$b% z2*M5GM%MaCaCl5!MlWRpO^=iuV&V4lt`WK z6a5{-Bj&A2jtFB842fq*#GvS-$(=V;(71BKJEztY{mZph-ws)0u~h7vSV1T*pOG^Y z+ZltHzNx<4j|pgJ-5o#k#2A;ZmkVsDMHBN|D?c4SN^k|zY14v|9#Cql6Fn{Ljj`#| zu2ruiLG$Q(rm*~j}Y9sL!L6S6@YxcstxCcaICFo zPrRi~g26YM6q)W4NSUQ=S(4Wy$}c9ZH_#t!XSLN?f(ri2#WX829$vsHZ;mi=4rQz}laEc`mV#$Qk^ZMRS~`zGz<|{ip)1`fn+*w0>yro+CT+)P~?%mdDku6Mbv38|24j3BACQ@zY18F%Z=2 z7iLZl#4)3L^{Mi{xY~1n>7c1UsMV~VGZ6Lc6bA`IuZ~2F3woka!U@}?0^h$?^n<{` zc2+ecAQ8|tVEBK)`4vK&{3n(RQAqE@((=LMBF z>k5xb0V7U@pLYzCw*YmXdR5=p!YkrkHq5m zr(OK}4T$r7!~1KECk6|#G_6BMp*Z$YMNmc|1}{FANc;**Kn9%xtvRu-KcF#OCzo?U ze3PX|DH6a?)K%rQLhNsA@~IiMXpilp7uyQi)nQEkOEci1F`hoIw@6g?!9MoI?iZUD z_(bLYgRw6Kp%E9lMQCiXKb@XSGtdo~3NStRgV62P4RGZL#SmQ7Gov>Q!I(4DXrxz3 z#c~ zQC}9-pq!OiO~Dvj-QlZ47GRxjY|L`?h4Am?N((|SZ#wk!c0YF{>cYDW@>nDBRYAUp zEII+xPqW0>rSG7`^bzx<k=5p7YSS(g^uhS|7X!KUX!6*;3Ns0Pu(yWd+YigYW3R zItP|`qVAF5!VnmP*p`sbe|?=GUZZw7kH-{YUiK_G?4BqpiTp_A5sxM1PaW6X)6q*W znx(;43iiAcI+-DLIC8y!TkcFUwDP34#koggudGs@B3A|Mwr@2qZ2zy*pXb|PpEZn@ z2hY$4Ln$+HOwl;7#gb@4CSk9Je2fwVo?eMd6_CgL^@7F+#xmHERvzIMqyviECigSn zYhpr-_GmJzG{PCVJi3T}hWPF`yn1`Dpp|Ov$Jr4xxC}6Kr7S2yQfj&7V4yQ1b6xD` zpW0!`DCac!&rmE*{h@VyLacY?d`E1hEb)G=%5-2}6QWxr&)Nz9uwToLleupR?qv5F zW^O`n_?hJ;Lu;Eg&a;XQUn2A|`VJA&7l=IhXZjO~b%F~T9J-M3C&V0YS$|$>JK~9$ z+&^mW8gZb1zH$F4QCDzc-D~dY>51g0s;-(xeV|w&=FQCPjbM@Pn=$#xc)ow4WhbjG z?ooPO#ilQQn+_;kc;=1=UbJ;Q2O_Y#Z6{d}!Glno6xqw{9St|{uQej&j$o>j4vxL( zi@(BL9q(=vyi<|Ev#q}oV6T+ozj50c_Z0f}&19y6Y`O8|@~RKUxdatGZ+M`E?YQas zbSUmJLse-a0e4Tfc4mb|Vu4%Z;V!axcz6%GDaVB&@rUBV4)0)u%#FyVKU1i82a$1_vRLX`@D*@ zR4&0$ZIiQ63C>2!)822c&BZWQJ5;7ISPnMkjTPVS|NQ+OBd(qwVY9mM806kV7OD=; zar@sQ1DfEGo9Qi#mV)u5O6%!w>ZrQEbB95&B0e8WXWLD83nbh8KIjgb!u4D0#d5;$ zI<2(f^6Z!*-cBA*-#kM2-u=2J$<=KVwTn;#Qlw)#ez!zP;L2JQu zL|;3S=lQEGdvO1ln3$6@#H}N<0_PqQb9UuUkyaCRT&l4{TiW0Jk#98Nf0*dMtLqwF zc%PvUzwa|`QqQaqT(IkFV3-#K_B{;!5^Rp)TyKtq;#91qI8h%-^#gl|X+&kFJBHn^ zkX&YPLZ#E%%w&HwG)`Q*c==s0gcCg2pH*bwJ0r~G92_z8J)X5V(iAuT)E@cLV}}vu zdzYWO20-*ePa^3(N0gkozpbz*0Mjdz8A)|cpkggw_WzlLfwWV?%LEUVd-F!;aa&(J zIP}5kyQU`&w0cnli$-CRx98DMy;#JFN-$EnC!+VrJ}1X)d-SBe{4m#>j*q#G&+~+= zaZq1=@8Dry=nYNB$`aR=WM;y2)XNC;zxhCIW|x4XTOCo#@gcb8Qurrk#1~I)(=WL( zL_ui4cY3@x28S)rov0xX0F`dpiQ7uq$hvk*l)j@D9*!XtJzTkv`5c%~tdWHAA0NUc z_veBBupr6ogGic<$dg_(+}NyAqPAHx<9&S@BOFEPo8(Z`eGt0ix;duiu7_a zAb%mhD!ZnGtr3vSEUF;FjgQR3SrO`_!TAiglyHCh1algrDv~3af68VkpqeaA*Z=HI z(8UNmxfw#t8O`~*EiJ+Z2c~%s=x$g*Z0vJ1Wz;#GzVrC27s2btte!iWO7KiybaJM} z%R}JP=-1=j=#7wh>j$N-1P}VRCgab#4a{k@2N$o~L2onOBB{gxs7Ro1;PAp+@X~Xx zYearQ&MSLH)DV}`6Z~oY{lF0sV;=C*2^wAd4foAk;&ABu3^fi{P)MFEr%{dt31ds* zyl5CPUp1ll{3)XE(Gv0S&U_#ay#La?@X!~AH)pfF15=Skr!vX7?oId&4#uA94?pLE;Yi`DODZX$_$A*Y^oc1P zj=d73{Q6N4qvw1hrWc19=Y7h4`}{C}h@1OzlRuVoC6danN1-Od#y>tg6(zr(B>9%a zKvVg6B}r!r4pL%&azZ3j(o>JPTUFusyGuK*jdD=@vi%7gNj~&-d@S#hCE=RHWcad1 z0=O1Wl2m5g$K@aGBCQS%IDGcSmG5n3P-P^^RkE!CxlYq9%BrgWbn$IrQ{OOEXpO&2 zWl^pt1X0@B@_tX1JgS~8%-j4>fgp~ZUDj1Y;zrY>%P+6v7>`4sl-^bBThV?LMEIIM z8b)_ivIUlwZn32}E8vNp#>xj8ebnCS<8SM*z=dS(Gx`DqPklRXK~>rYIVw>p6eMnt zPg~n_SIPicO~a4!7+hd^VDs1Z9DR&j3gq`F(LkA+lt3oIuetv`v(HA_2PA0%xAG%h z(WdnCIf=YEk!OC9voN(r%kr#t!g+5bD_?xXOyLdo21AkWDe3UPn%QIHMEG2vd)>qE z$Pa;AGU4BHoKcY{Ps-UEhfg7aT1?cT@G;xw>^hZA)DILJC$4y)zdd1fmE|_rZ+ztt zYj;2-KZmjQRtTo(I=<*$@WP6qtH<-NVK@uY>2*`WUsx=HF_YkqqV@{?IrxIeYeMG^ zUJwgMC$Dx)6O|vtKm9a6W*Y;COIw;h&c)$aDZO4)cQn}Ug_W#HJHVcWmF4`UEPOm% zyr!dQhKAK$)HhtcQU57hu$VFo67vm@mq-2a`^oX622{z!I-_Ac!%E~aUd0c0nfT(& zHZ`Wt3q*ZSQsEWpcq+WM9!8yS^FXiGUQNxiI5fC5wf*s~!8PhTMmsW+VdD0oxZ+3_ zq%AlVZF-10;L%T~t<^J-p-(A2J5Yq@eMcB&2~PY|mCBmghit5#uAAFTZb0#CJ6^$r zkpDFC9U8r+E7GKj&|fU+ChDpXdt{S4Q*Z|h;R;l>q;j}cy>a{m;h*4I-}_B)PKAii zsy^Og1&juqJhq=$*K7YC@|+^(!Wb;j^;f(g{5te|h#rXw*2IE@_~xt-UrV>IM?f7^ zs@2c?!`wkv;2{;h-yK0p(qAXP1Y^_tm6TbZC+Y*9S??k0fb~x})B|LkkiWIy(OqBy zu86t4LK+qrW3hI*7m$w!y?_4L;@-p5rmG`1LGbkorLs`X9^DuGtbiX@No?OP&vk!o75=i28`- zjZHhG%jA>ylSG04$I4hkl^2R0caK+S$6`8kj)jKV2IcH4WXoQe5IQR<`BUE$9b2gI!(baty*+F6$Ls^?}0h&(Gn+J}=_e z`<7b!I7oT)tSu}jV*BXZSFv63_#kaG7D2q<%+iPm@2^WjX{FhvxM$T zLijh)2W%zD9D7LUzPHsfC9H*7;Rzd03Z0HkR*9Utdp$!-+jN-%oi!X#DqrONSqH7Zw`RmI-~>Nttg) z>taDZE#%bN8;sX0t!-_+IVe4Fx%F_CJ1DmpZ?2E%LL_sjhJnEW9FnhYxLAcFPVGSb zJ)(bjyCy2oODYbpnAIp_orAD&e|?l!KMkbnMgoJs10e2tkJctQ77N9bYln!uLOP?d z`O)Dxd{h5SIxhA-qV z)jh0HkAzqh^9A+`fv^)5E?2Ng#AW}~leyBKXpQdo_%`PSk)?Oj&z%yGUL;Lhb3O@U z_c{43+5KT}u(Lp-@)7<{J*ahiE-p4ny^}p&3q_sgePnH= z|6$i}rbnlunAnKTpXlW`%-s(cuix=iYxtBasx(<9g zw8oDZAne^M?LRznC?CwRy8TxP%?$omI{d70@&os(BeODIlqlPr2(!VB*y{@X@rF?Q z`fDaU&IK=n9&@ZvI-%Mjb9e0bV5GP1Xf70Thmq&jfR=;_0&_ogxhd$wx66airriyB zf~gj7L~XIuS1@i7V1uy?^#ix)JaD@F%@glBBSPmo+Nq}zgsjo7@T>d|Xjtd4{XS=d z-o|gj@rlm(?L_l=`AIzNE~b;~_DAB*+#d#=pg=<3=INdJH~@(>fp^P91HitnY&^l0 zf%lc7(qj_-Af1<4>>%>%$5USu6;g=fI12q~&cuSvwr#k;I1VX?ln%;I#o;uoq@+DD zZ|Sh)*n8!g2z(2l)DqNl0jY4v4;_I7u!r6{nDAB)sm#Go1yeJSQ<*$_&)*XplT4>d zfS)+ZJ#NzP;~O{}k7W{(AJ_LJLQ8_~uDeMAPMjdOzx*Tw27wEe11J1 z^uM#y5idatM2kX4uhLO3q4 z(h@$XC;2rld`r;4*XbDxr!rz4c2;h;iZ#I>jqiiji6XES`_8$Y@UcFBPQXX_lr?1h z&Kt|@G(xn62JL*FKH>$tiWI`lhAEF&`j$SC{dC4IYkudZ5nH(NUF|uLc$?sO)O5}KiTv8)@7>smU}D{slW8LS zJ-l_F&v@79qoCom7+*fYZLl_FOy_u_ZpT-tHd}kJj$as+T}=bkprmY1gDdph1VWQi z!?8DE{J{HW8zfJuZ#AbU!2co3DXGv936^#er**TeAg*NRnzd;ql0pMRI#pMbRbv+7d>XLM+1HN^?LG`KI`Yv@<JOQ+s1M2qz{5;mJ{-9`M;Y=ac=Nhp{y*D0_C`&H>V@UAY7L)E`GBZgqOzQGF_uCGC2Y8nD--rNx zE1iZ_XBwm|&PJ1SrC@Wv!F8&cG|1D1HKfh@VuCh1&)ugG>Pxph2u$81)s_!QQMH@kfxO!d;&A-i)nbE<>ui3>h5>;HCdw%2w;aB#GtW{UC!WdmP zJ4S2Y-GvQ#T&tXwDH3?gd`5-Mkn~EY_78;~qU?B-$!I;`W|7Xg(ii~e8qUl~BJa!I zBS8D|fj4;k0y4POjnFkaefXZF5BztYUNjlEg@eslg+dJB%bG^&Q=3Wn%zRDa`E=JE zdk&pj2sCzt!HK8mSA_{(V2}L8l_59W++DNN;D99z$NiuEdFy~0ioW}Wo3VIH6Hw3e zI~)cnPKNgL0a)ZS`u^p+AKaE%)~IgZp;#5maB4Q=fKG>e~hRy!Q4_+2A=$o)-di~2B{5`Bc zggzuefiu&eG}0a1FZTagaY_P>!@ll&?Dp`de%TVt9F2oKVmbUz1Mx0_#A$A47{;Bz_7+CM1LQ(sfn|f)Avt_Y@oOTt<+cNl9!HUvkU0#6;Q#^sxXYkTHOP+i(&wsSTM-M=|Q%%eNd zGJPe?V59_*HwK?o4HGSw_`Wc;h(-G=FHoj=w)Prk* zbXb4P6;PI{RvbEOjZpHpZKJcs*vtQV_k~3p7$va@QT}zqkZ5+!;+}BWpFj0+km$2> zw)yXrAp9H0rlK!hsj@&;N7b%2LoFndIZW7P_~YptMWgY%e)uG3%;7-P4-YB5i!rP= zgpdASnJuCYV!iTOlZVY0-ttonVno9~@0t0ItjP?x2z!{{O80;heMH(l9@7Ol;tiT=SN6r@u zy^A9F@HSTq;`&=sW#r(NPk@BPvnhT4NUSu(jT)azf!X(usyWeNxT-jNtg0XZo1gL? z+;|)ZimB{#V%~93dzLV8yDtI#yM8e=YQ^HLP6|hjEK#4Pc=);?Iu$+B>z7VzdqW`X z#f*Gt6eLSq_;1RGfTA_@QV!Ag{-C_Bq+1+^%;xB`{`P*j>3!r@@&SL)kBbUY@}_~k z=0vxfS3KfI4_0%0%0#8g{B~=CS2Pn@aCA^egw>+u{(Rp$tf=%BIELn;Y^`u@Phu*R zyNbCR-(`cp?t_sae=Yo`A6Gx#n-1S4`a>lIH)GkpKV?O;5xY0dc|)$H;DABqoz2ZG znCuvGP)I7pld+;BG!%`f>wfIDnmdBieQVv44TBJ`8{O6U`py5g_+~44s_lJ94*{u# zRHW=&^FPX-wv)SBFP{D2C~1?>X#J$2AWvD&V6K@MeG z4Pu@aw~+KvoVDE67A>+%V#=brn0~pFm^Ez+Hpg9YHALNxdcH2vm*D2?&RMR_K6HfW zM%#hanNZXe4)%ul1Ry0uEhaD29%@ledlnuLa|3KdEaP+Cuu+?-Wc=O}s}oYSY=n>G zt9x{fvc$YO{ws$sc!=FW8~LEjukK*np=Q3d?Uy4+t}oM&3mCv@>@PDr;Vaqm@VsWQ zZw!Ps_y-aQUuvEYF~LcFp;%Eq-(Y+)1TLX}2Y$^3z^2aD_K{R7x);ecj>v{$Hj=B~ zk3S4wkNT!H>x5#B+MZgiH37UME~C-sBVl-ib)%>>38$Rq4lR`WLgQ}Jwo;3De4W@| z#$RZUk2>YN8j|s-4E=VsY}pv*SLI1cNt5v>AVIF8%?;ahRyXuJLh&UzN2xT#7B*ME zR=hbCjeWzFs*$^5@acAz*^F=mF~@cPl^~*@8B4`WW=PD#5!1U9D{Y&K>e=r`Is_kb z?sp#3LIdH?eOq;2Q8)~pb#MzRZ z0%&$T6xz*D03Rd$lBX4|km7LMWC?A@-M*nRN zrkba3FYAG0PKoX*!FNavu?~Rn;b1Q<%y)ZXf}gS3TdP$rI3c)lS;^iW;~!He^#!f5 zQKxB1a+v5}TPI%aR`3HU=c}&5H+D!}mk!RQ^#wB33Kyg?xUab4t^T9dWo<9)<#|}g=WK<&w8sqWj9e#tQ?0IVf6Ys*b1ccra;p1A#9Z7JjE~3i}4|it6Ca$S=QaqCIc?+~|xmy9HfqSlXMadxPOL?0* zUk&DZBRN6AI>h^SWXw;bgK3~in3HHaxo9^riiKu?hGxC~{O^ZQWMq6}q}~UalQJpy ziT)xz~qd2Y7%3TU_b9NNNS2BC&<-X5qNlE!sVVN zBI(CW&EK0tAirENNXZ&^fAzA1&z0NJTpq%g6{ZBLwST@cm{Z8r#R+FFZ;k#`ipB-iO z>83jhyKTORRrrIWq%@23o*#I}lk~%hIWZeu8$CSj*04Jxq`3GX9`5$!$%lwIuJmUw zlS>N2pjhHJOQL^rs7y77vX=1sc=NhiY9bj)6tspXsRwN7BdaN-(3OZ{dZ&W;;HN^|BV1>d_SKzn3;&m z^198}F#$;0dbP9beIi&hetz6$=?ooYZAP9B!fW~AZ@;fO;XsRbol1QYc8fXd1S1|# zmgrt*W)pR4O+VGtuevyqE&DO?G|~4r9`l@YkB22&z4Xc?(We>IR*g)JgzG~2%*?MK z(AylLh!{zQQT$R0xl1{Mkgv!XFgd~mYadTT$Sm|;k7uk(8(`( zxC5y_pNZc%(S)eW2m0C`*W>Tg&;%vYemKirk(?zN!s&p*+LHI3=#ToG-<;8gN~XK9 z@&_CKr^oj;Rf^cY9ao_{`{%gXvJu{JQf6M_GKAL0PiKx*D!}Mjel&xl8e|KM)SnS^ zG&&no^2VAB5uqWzSe9S|+fGIGB3C`=P)-mo0|q#IJ9y>S7i&~cJ|y2^X9Zr4X!o8h z2kaMq^{h6P=qFdpj%+Lude@4e9THP&i0I_PyEEcWT6Z)4QCR zzL|cw%__~r+2fB&#~dX~Vy?hwdORhEyd&6tSl;)%?h5N~Ep=p`0obY-mS$BU<{}l0 z`d;TrfvNJ>6b{1YL#IV7YuIY4J=tP zmvYcq?Nv!PM(EHb#^~n>AD*k>GQHdi*-&i#xzS5-Vdw4&yN_??LwHfQFza#(*5_1( ziguSE?p&lhE!923?`^~SpY=L2AhG@HVk};n|61(6o=f<~HM5I!6ygARg0OW~5`5F6Q9v>Z^4FVS4rC)ok3V5;%V z?e$#-Fc}tYI!9v$`M*X*avLVN`uxhHSUOuwxc~YoHtvA2{D*f9hc`%jW;URC zzSqyo!yDTKgv4_$M8J|XO=LS=AjpMDrrdtops;9(l;Xi2rZhqUv7i_dedLmC7kv9wvPlp__7JzCrHAFBr9@U+y{&9G3oy=*Zn`5gtez!SZv2!3NcLdY;g zJO-nKuba=k4aP&?mZtA-3EkmC89&X6SXegomM{*-f$M8XxAeOdFyXD-wl9G=y1h*Q zZ!f_mC7oxuV-yDlxhDg0bg8JjL4R27NDP|k4~4iAT+(ZjAweoPA`cs=jxrh!Mpn%? zkrOrEFk3TvYMxEx=MOGWvYsO9%^ydn$T^abmEKL-Snmff_qgcG%Bgs~F3fhzG7gv7 z2TU96GBBu6yOi{q(BJqQ?0F;;fERb})^cPf!R6J1;UUr9U z$Gsjjthe*QCamTocJ3bbhq=GsMqh#up`ZHuPvimB@01t`u7%FKVvOH|#j?^nMd+#kfH63dPYrR8`T8?cdo2p?mf1XBbQVhsXDg9~v9ejcN$G z6=HWx)f(Rxhfcn?CH$a|CDhfi>mYfVb}m_;*oVm)Y3@_j#$<@2@In6TD2cu3nsLAg z)-+F)BdvAO%X7{`gTx+*!ILWWKIWJncK(p^i^#hNAB?A}x?qRI{qKM8+2ZR!vDumX25KT{0clA(aFH+RvyhHN9<9+|3WDRgW-QiS zDyNO@7D~-gUiNU9kD@iGBm8@fDUBSseTaPKrY57LFA_;3Pka;4K@okrw5Et3e$9$? zCovElkd9dIO93|&T%XDf*-7Xhr~PdXxkuteaR8&5bRoRmhef6dJ@>YJHN{kQ;<~XQ zXP+VJC;JFD&3uJ;oG&3lK3-%WwF%0ACUmN>i& zyIOQrGYK1IqU_O8i8!69GRkm16N$s|dXI>>x75_%@pmE>H%Pq-=Mn<&hcwBf$|4$6 zD;|c5=FvE&L234cIRW~2e9syV`eWQMS~{3E3ocyOwpX#ilE72cjkKc|c#o51we12Ksm^)w?S+Yjxez&cce;%)eW$1VnRYU>wz9#BC zn=HVE=-YGR_p0%Bx3HH_Ts6v@juz#-=s;!Q`cmM0J7T&z0?$6{#9zj7fAROj;Q4)} zl-j=&=c%~)Cg0a0*MWvqdT%Sj_2xYJH+zxYUm{q*-wip1UT=f+>i=Q!eO;IP^lxDs zeEF#T$7?&`w|J|jI)sMMsW6l-7-`%m3GW)mK znjSj8RS0eQ5%Z6%sHjDQtug$XpXqvmDdf4y=TaQJz)cmFu8^sKm5FW2RWU^0!gPd{ zCfpAhC49zCgb&7;@u1<`&%|7oK~cKFKs($THXXeD&KozloP>WrAh?aak@pj7gAlp6 z^*w^9YpIRIiSO&Q$Fjj#hEa_JLL~S5m>dhhXDQA=&j7;raYX;o>MmPE+j zjz@)WHH9Z_EE*r5!tG-TsH|$gP8k*r%Elgv<@i{rG<9Dwb@D^gYx%r|i#{M-v#&Zw z@Ye&}z8Ya2>3Cjrjx>r`kDVn~?_DA|r8i7@?J}0ZL>=@@a*k{=x;~CKj7fwefBOxN z3Gplhy{9XYmrDe@tj+ee-|_H1`|+2Mcq;Npl3atDbFed@qC=iB2lFW(O{F(GP`)?77_cqf+H5B2XDs2FRND@9jci=I0${-Y-t0`O(aoyZqz=#@ zxuU~UU5vVX&O1g^U5Kk=RF98t!~sv^Z>yT^$Y9vhW^7vw{c>?$Q|os4=*DQ?{r>-7 zKmU7~CM5K=EtD@TJ;@KZhF`JdF}WZw*xHMgnPzE&M|^7U-A@MSU8B5}r(%N0Kgln1 zg^0fJovd6r3R9T=UQ0#JHhz?ojYWK7zMD z%YOOQs}O>V{qg40CgB%ibKPr%c;Elnd|WQnBo3wx_bXUu7+1U>d$yW(p$W>PB%BeJ*3E0Cr zD-nmQd{2XvD&vu6@mN=TAOWhLpE=iOQ?XgGXH1wR11w%I-rDR+fmP`f#wy(`JUgnF zCOvG6^|&j%1A+ng(MRsR!WNA_0TP-Lf(I81Hn-s+c-q>9FyF7Ya`2`kwdjs;F;*jr zW_NcJ`$7uplfAwn#J-4;MJO*DFTD<4^xK|}xt#VIL>~0^VJpo?pT)MjUhQSrTD>62cAyl` z)5_=5&GIq3$0JOmoY1#xza~pC^D<<`z z>GSQz$53<7U9Bah&eB4|?*{P~FMXj}d`PA2wm-gV`t_LTMPrA3b!!5lZ|#>^`0(D4 z;I6lMslH)##P`tMRg3dZ_;O|2^F!U<=wE+}zB7ccX=QeiEr&0-8qF)bwh{hjq4Ymk zvb>STFp}eyXbYPBDK%XdQ*0(nk?*20!SA9W+XP}>fWxb!wTIneVE43QM7GBde^nWD zeiQYmxRhR|6tx)in|ggW4v2?mL%GoV>@d*Je|Y*bDMCTMA=p{2c=(nT>B z$5WY)o-8gvmZfXkrPKN7+K~7BMD-AjxlR;2=aQhzw#XX090LRMDN#Q68lqpcH2c-5 z0Ns40P3NOh(D_-z!I9vxXa#KOeyx>)B~QD4Z*?B1WDZpDj#Z%NytQoAj&j_0U72Pn zuEtP=V9ZgLcGMQVbWsy~1l>B(@qw%kbRYhcdt^^Btk0O_#2Y+<33a9&-Iod+)zUOB z3GamE7+scx?*r@~etFejs0Q8AuP@{nRO58e0PCK`0laK#mW(C)fA8<3WyncBG~s}P zQ&~)rO6GVKboISn5)oHSH_|)yn&3{#uZ9L8XMB}UQ+hdd6QgTGmQH@ocysoIkV*>S zcY8Xmdf3GP9KugBoQV3!E3I2UFBRK?!C0wuLed3)cEydob8*4(3qn7F6djRv)2QU6 zE>SnOf3{j0Zh^S%+sC|jc_Hlda?L0uQI8#W3-B-3M#amdTjdnK2#^r5`TjB-pF3C= zU5R?{)6atUUzij6nvDzJ-#&B0BKys}uf{H8%@l}R|M44u5B9e; zOr6e-1W#w5$<$wB{)Iq;+tZ?WeAFwYoRx}!>VA#aR`q!h8#QL+jURi2+GFu> z?p!$(PZNy>mRG|evZ*-5|0aO?RVq}qmM57WW#IW(BCezfG4eVL7rQgT^4qyg z%02~o^)DG{X5-PMDlYcCs2c8ZOtEoq%h4>!bU)j(5{n;vlnxy(z;;%qCVSH&LFcIdbDX+p zq;n*`2ffE95?_zhLn0wnT#%<6*VvUhzGN2QbhP@PqLxRHl@FICy-8_+^MGiK_!+#rl()*`{$oG9j>aS)N1R>Yn^9{v^XneUpZ`O7# z7&{zE%WX7cz+9~Q{XWs3X4MtAEHds3&J5Y2niistN3FHFx;+&U{#}_9b^BpI-8HQv=p5V`IaoF7PB!`wa8{yQd=Sa?mLClqI zTmFF*pg*7L6<0K-Tgvw4`6duPh2%(ziUaqB9=%+{TujiY7+oXJ#!rc<$<~wEVE!4a z>7`eMR>RhHMVmZgU!(I)#5(Tw*ipcDe=*gD;~S|1SIy^G=k~! z&T_q%oZYI1A*~nZe0&kylie8ovJ1g;!#PH1dp$Ur zO0@Xc8n9TWnX5d~4qj%F4=pvsy4?QjaF0Y6E?e!M8E&kB@|n#B+DEM@y>TV2guMYl zH8Z0fWUb&QQ9isPng>zQucX%MHCX#@P5=I2Ei}@NEhNaw;M(nXRdS>gd?r}|G%k<8 z+kENVp)W=MxA_Sl@6#ivetID7dBwdmW`=lGS-B%l@iylDULL>PL2!DG_oXTNOhHjJ zaC7jtA-HcnC^)I>fGfK9#k0t?@uS6<-`>~`9S4~U=y%;k<)wvIa%vy^unu`4*6Ijl z&hG<#pRLeDcl9w-G0`WX82>v{Oz67>gWu5~B>eWizSr>N@kadGarOh8HkcthE0I@e zi>HMT9>@kp(hQ;w2Uma@Xb0y|8UqJrdK{lJ)BT4 zBj$tq&Y~e9^NE-+XlA4=aK)E9MZY^a{V>?AA`?dR%`1~tYDN^3Kv948oLOERy7zgq z+Vkdvr01T6+ZDox^~|RU4pD+nJ!bwlY1spj$1KPhzQ*D9@Wl!HW5LksNxPn%kqE`d zkuwPc$zV1-{Cx2=BqOigW4eWoKo&|6x;Ee-q$7il^4a>Pfcb* zH6XKDRk#!%AK&lcZ%xOu6_dJy58_a(81(Jf@k~fo@ov$%6riJ@_1Wm}Y=jnA)cy|6L$?Os|c>-rO{ZZgFrLk3)gv~ zSMo7ze=rPvKKKY{?~G-rSwDx=0dF&-!;c6*)At=NZuNM)${$Pdy@}v=LwCQr+=vG+ zcC+Xi*1{+CstKKD9Xi>h=S=8ZK>oPoi1^0_Bqxxo($$yYd1j-6Nmd(z!>c?QlpA5E zKhtyUaqYhw-`WG$)`IuA;ppv3?=ymyU>@Yn4J5P1@o?W^tA{Gs<0ex0qhANh$DHEZ zYHgv;m{+fENX+9bN;&$9!3H~bx8MD7!5mLQ7?-~MaVB`T*?<;zbreR+Xl7-b;_?Y= z@$+ulpxn7hb<&^U(<;>#$Pt2sdU@@oErLTkzOf*b8GyOvJ7I#~-4N78W;t`p4r)I# zZwXluJYMY?DoH{YP#4G(A@nyA)bay1QN!-|HR42K)n|=}P5JzGb03JFP%nug{HY6R z6bybx=!4PeG&Py92ZHr>{}SR2LCfp&F&`M?(S1MT6zhNwZ1h5KLO2$6e=Wp+ej{`P zBtN2xiTR8AXN{we^9O^9w_4$;AECqT6X;GQiAA-m{s+fCA7GE!vdfY;))|Vg)eR=% z1tsPS2_LDWZfyd3L|o?67q+fPCg5i&iK6elM4YSOVrV~`jE8*+K-+duR zmWGUmdABp_(YUm-l1eF_kA6`uw!F9;9NfmTi)tkmw@I~R2QsT5rM3C_GgT%`M*6dt zj+GN!>GzDGjdqA%WEx5&*7x?-D8XRQJdB=dl`+<6!L^va0}Iiah>+cVwwK^xwWK)I zqZi_FHtythOPNya*CegaZ!QB_X!UZ7Y6a#TTia#JAD}{}@rt-tBPLn5X?J>8gFZ{h zGiJOOFZrC!g0~Gqi^ZK!E~yeMj9T(S=B;>BPA|qSQw8f0ap~YgIrw{^AuRq!0cfo{ zkF+q?VDaP4r8KrioUxjeb$HPL_eXMfH)fi!ukM7cd3^^4_TA8qwdlhBb|!YJxGrpZ zu*_~z{h$5WJPRfM$VE9ota{$mgvt)TYk4$W>5RbX;V%5v%^eHQ6>D@X4j8Q(y__jz zM{vgl&+TGNu#IQ9tT12fa;Z#iNUBe=)U%wJO^nv zXs;;Wh{0?!(*vjX?wBxk&MgcJMNmHtX&@1oel_<`Qxp2cJB>3WlB!`4dR@vg@0AL_ z;W`PmmT2TQ?lir~6^a+ej}Q1Y1>^kMRmSB9NqAjX&tiNa73xDGJo?l*NRf~^DDfc| zSDTp*kr2FhYV66#oC1HWX35LP*2m-YmBVk}Ql&#H$1p+4HXiZ%&yDp4(ug`s`o|kC z6;P?2olfkEhrx6w6?11ahNzQLz0`9tMSm}~j?n$=Jw9o%Cp8_}CMiGNd6RG=GVZMH zzBXtzpK*?AC?hyx$uCE#@?kFixU)evA8N7_PD2?@p!fD?`EsioVZ%kaVdmL5F3EoT zvim*EIGs1T+gnBSW7vKQL{-3QSK^uNsnxjlmCrV=s|@pYUOBS;J+OM6Zk@*X01tEK z{F1-+Lh0Bo^J62=!9~65RTa?9V8^gCvm$( zLP_(_J>)0;`JL=v_mOz-VEE?;a?EB*a;flWZeSlQ`DF z%GBPDWDoHG8}aqe0S3A*b{ux5R{DkglUHU_!6xdyrVIlDq^Gy}R5WMfKVNn&wo3Bu}>%-qzx;>`R!1`d!sa%i#w z`5*wJm$5_mATNW!CKU(`@H zWQsAQPfyfl&;~L^80P)pcVY+zGQ}BmryO)+5CtnJJ!j_2FdZx!&&eOja2m*zW?+ul z)X88EWQs88Z)9J|&;VB8BW+LyWQ>AA5CY)%XM^M!pmQLx4bL)=xP|3KXaZn^IU5qO z&5U~aPx3+Vi3?k1Yc_N%H@nKFon#;Ik~V(g^>l8)ERTS zp*0923(T>Mxo1FiC=f8Rz!E)639u@=1I<2+EUT zd{GC*4}H~YpwhKuJ66pwl-@W->9X-JAJ`) zb}lZ;@8QRmQwrgna^wyvz!Om33%*Fu^)t5(Y>@fcDlQ?W4D;a5RDl*Q!bR20^zC@71mh*^8sVry;0to+4()|mX)8e>&) zn5=zH)61C2{Y7D86JSkeXJcdY!9cTy-(wB|)*hNA23QZ)Kq!hcD2hKguy%Z`IUJJz z$c(Yzxgx9`Md9F~9Oe00oFc?KIo|MV%r%?!o`Y@QfywEWODD$^Kh_@n|7)0eblu2S z&5ioM>pzY1&zbuB{bZ&V{)&?3uL^Stv0kuE`8Am`g_R_|zuI%xFrTLVbI%bh#L6lo z+?`_h&r;0Q)=N`MN6ZF`yLw_Oh*^1iiMhIY{bQDorH7-Xm9wpk*w110YDIZU*GBHl z|6tegup-Kj`)9IRVw9=VCwCd^JvJzKvN5lI)w&C(vWDM5;QY5i;8AClGr#`dH!v)ti1ZYZ-0+jE8tO{?6os~twzVu+1c3A+1vL2c4=1Sf2GUP z{4cSrT{qbl(Vq!Up}4cwj|1mC*8gl%es6ZFwZFBqZ5jt_Dh`vA_mEk;S*!S+n-sC1 zGb#6HO^$h_CJzsM&j|cHbX#oEH1u$DxApLH z{B?j`f(2P&^Re|{<^2YEY3vG^L>m-k*2&0AJJ{H**|1t>wW5r|$ zS?+i2IR#no*`~0<%NjWFYvs<2Pd7&!PcaW$7dIbUo0Y5_oa}`^bI{Yv z($&V&!{#4d_jeBB8QQ|r+r!S%+SbCs*3sU<%fiwMS7E`LF?s4|8qJ&t1eyZxJ3VPxcKYjLg8W^ASRFYVn2@}zf;-_Ghozt8=@ z&nZ*fEj>L2rvGZw&%QY2U(Sm!-xtJM!SAC`#LmfO{yObQva;&mbQo6XSbL4NvEOGM zOj1?{`%jaU_3`q*b%tUc(EsNoDeGu7gwlKwW|d;iwvpIpKe>*7l=>p9 zq^Gk3*G2i=ieHWSwdLR2WL3!!KOsxtgvk>7CXc&+ohg2wF-&rl#Wjo!bg*_|tde+Q zV|`+1%KIutxy4!?Zj05tkCCFwC~H|Ia7otQ2yfL`OWB1lD0ui{O}{jds7m2yy}}<` zSO=ABezMysVfccA#}?LZvWN=l$2ZNCpIt(oH5-qZw`niO^73&Le}?}JBcQ9f)qu78es{c|ukkG_r&vSpuL-Pl zU=9B~{r7S2pQr!sVgEdxm1nHspQp1jlr{YG^vS6d%D$PuU;P>XiNK!-{E5Jy2>gk_ zp9uVkz@G^GiNK!-{E5Jy2>gk_p9uVSBfz?5!@APMx`4&{Qk(T-HtQNP>#`T?i(J;l zZ`N1Ga}n#Z4(l5#);DgfZ>$y|)@3RDVt~T>I(-qsD@PPDv=}WxOVKj49O2bV)}^MO z7rF3@bqZenWL;RINTXFq2FW74w#2%uMUh9Wufi448l;5QBK%U3vJR=B^+*-rcl{JK z1c)GYq=7UMUJ;{cBORoRHlj^P59uQVv>9zdTah8!hPI;}$Oy5n+!`a+1vC@18<`?A zWRCWry~qOXLzc)2StA={i|mj+azL!Bjr)-kaz-x56}cgIbO3oEPvnKXkuUN?{wM$) zM1d#>9YVn<1cjn7bQm2$N6|49jv~-;6p5lxG&+G|&`A`F;!r$FK&Q}Yl!%g0GD<_$TL+$81x_~aCOXxDXg07-#=sLQAZlYW0HtIl~h=%BhftaWZ-9dNJJ#-&+ zqaO4CJw%VtWAp^|qNnH?dX8S8KGcr}&>(t=UZK}$2)#jX(K|GZ-lGxp0ewWD&?x$h z#?Tk^6@5eF=sTJ~KM?E6E*oM;9EkP3_*BG+rXeoGji#d+hzIc^J~R`tt_ROTv(X$R zfaW4WB!uRn`Dg(WMj~h-T7*QA7+Q>$prvRTT8>sAaU_9OB1t5Lq|quQgJh8$T8-q9 z0#Zb4kP>2D%~nS1kP2FlRM7^ch5!+yjx>-a(n8uu2kD}XXcN*y`iOP$b2Hk4wjx8c z4Y4kA??6UqCo)F6kO|t2OpzHfM|;p-WP$b}OJs$tkqxp%cE}z%AV;(xIU#4{f?Sas zaz_V{2l7N-$Q$_}U*w1UQ2;uK0#Oh;go05B3PoY)Fgk*cqGKo=MWEv-5=EhCbOObo zlPDI&p?H*lPNCB%5hbByl!8)G8cIiJPzK6GStuLjpj?!P@=*aQL`A3=m7r2|7L}oL zRDmi{6{B`a9jZqSs1Y@xX4HaO(K*zH+R=G*0bN9w&}DQ5T}9W>b#w#WM7Pjw z)PXt?4bc$;F;N$~gYKex=sxO3J?H^?h#sNG=n3jYPth~<9KAq&s2>fWLG%*6La)&f zdV}7gcW4;BM1AlCObY=|9kAlB~)Ohue%8sb9u zJ9(5DhzIc^J~R{YqgiM+nu7$;TqKBu&^$CBEkMFZ1T931kSG#Ei_sFa6fHx`(F!Dv zB+yDEiKLJ;T7_hgERsX3kvvjBif9c|LTiyST8C87dZdarAT`ALT9F`iq=7V%7ScvK zNEdBHn~**-K%3DPv=temZD>2%fsD{jWQ=wp6SNzdA~R%;_MpAU0_{VV$O>5_8)S>@ zkUerhj%Yt}Le9tqxgs~@jt(FX@hAbELZ?w8N)T=p}lEUZWxO2E9e^&@g(BM$iZJ5q(0V=rbBaU(i?d4UMDkXafB}6b|h7 zh#het)-NPXMVx3F;zHbLI+}ra5HI3GGZ8L-WxBB#cDRLbM2p zA~CcWEkR4sGPE46K;lROtwfSY3Q40?NCwFwIkXzdBL$?0)*vOc7Ad23NCmA&s%QgJ zLx2cUM;b^IX(4T-gLKhGv3GqePU1l2HmuMQJD< zok1BW6J?=nl!J0n9?C}rs1OyQVpM`k(OFc6%25TXL{+F7)gUUWMRlkiHK0b+gql$c zYDMQz8)`@A(FJr7T|$@96?7F{L)Xy_bQ9e|w^0Y`L^MQ448%lT=nlGz?xFjr8}*T`=#DQ49s5}*MqG^Z=aii&I2I4`yh!4#~{Ad=MjpiT$G#3dX zAv6!oM+=ZJ5vIV4M+_EB1j!+AWfu&w2=6Nxun)Jp(Nf`w{?kM`8qSGYo1A2W@-d?RZA}{ZIfxMGzc?d z)75Kp>^9X5>{5XIlWz{TT-pbF_|i0vY@bLgw(aLomfk?sfEI)G zL$|wiV3g+ql|xm&ZQwpn{VNr-w#&XsW9JgA+MEmSsp?xAx6RgU3cq|@3o5Uv*7pz_ z5L;Tj`sPPR;Own|H8xQ!l`lHfbVNcL~nzxK^uL~Go zj6UO~xfh004@vV|YJy_Uk^P}P;s4(4{@dS2b-Z zB&v*UKQ6w!EyTJ|DE09bHNpPM+>X3u&@Sb!&t^TP?UEe17#+L5ZOXwUwdR{TZR)2b z!k%#HwdFicdujM-Q(L%xc*kEuH=yZOx@V!=kc!ZBGt-S6UUI3#aJ8nPNfvK)KV}hPT2NzVN4w z1S&Ydwt4*?9bx)J>hG3-yP+y>>X!rE zA?4GUvfvC4NP8(Pyzia|be~*rthv<#mVC_WVK}&fG*5YRtgIchpH1Jx$1s76wk00f zKQ;oFLaf|J67w*~IlQRUpl2Vg9ZYV<|c8=g*E6P)qM3vz`t z#$5FdfMNHm#MQUqBv(5*c2R`ML-1YzQ^48X)qW(;Nx1O z5(=I(g$m3bhJw)RXyN<*q0p?STCp=G1g7jg{PgvYU=ZAtdU&%{2&`55;l%I@1vdqc zx?4NLz?Wz3x*s1y;ii>M;NV0sBo0pblHwNt;`db#x(4_FA9q#m`3N7_zh02(|JEPQ zPMlkKn?Fj|Bo8hIJPDh}zhhJAXBpkZ#2=ADd76FgM`rYJwjzNFn=+-i^ zFwpTiDL6_3p?~G_&CC!#kbB)y3@^f&-c5YJtz zL4HugUMe8M=?6|vNOsal0NAA^`nQkU`POAE3x`$aVxyZMhXcnUMgHoMaIkzZ zbo66D1iboj;cUj>ad@zY!;ITI3RG11=Ic#Ffgf#yMU;LN6t(PXEzOFA(tXQsF+!ri z@TgMAwmC5n^pZn1F)bF9XK-mes)>VBFL&3|N8*6z2WRMulX1}fQd?r#hgdir*H<9Ser9 zdQNmQW8v0#Fu(n!SP**nNtP-c2ZjB!drcn1LF9t5o&!Pgz?XhdOJheo7%T|QzPvgP zYKCub%=SD9zG5>tEN`BG*HWE^y{a+L{DZx_q3k4l+sV&$Up5wOy06W1OFaoov!>s$ ze|-X`7sZS2JQ)q9iM@}`{)mDGNBURC&Cy`Z9XV3o5Dl)8O*@sazUyVVO{s2CaDV^4 zmDj{0fyeYUv0NVsbxxaSR4tDNCs%`Q&vjye{ZO*ACM^ccOSW5T^qznfnNzpE)Hne- zyG%w?jbotQaM96W#aNI!(ZyMEB^D|p$1R^9h=tX*f-!3APQu8+p6tO{F(5r0vWuY` z1G%@{j<2jg2@7o>27dL71;)rCSU``3ir(W&*T!SP0xs^T4T*!b@z+d!!{Z^kt?5$L zfdr5bNKj^MO8_NmrbjD#JS@r(jPNsvg{r_kS2|^4V95u_<_$UlEz7N)xj14##c?{P z=c1D^&*+D}!p>O88q}yfus9Bm=-PSgEr^2v8(vCBX&gu%bTe|6i35Iyf4TSOSZKMa zX}Y;12G%-Uojqz31AANE`>ZM@%OP%d(~>!)xbD7RkCI;Y5h-$zXTYON1=~w+~W;5<&Uov;@Jh({SX}m6X3S%y_Vclr{M0F2P8uv5#*mO+#S$} z^-EU}{qp@ZaEPeg-lTd87MhOx3+;=CZ3Z>wjAL=IbKE(tc}qM@4DD83qI(J!?T@0o zcS?kZ$!gb(?j%8^{>nLvw*zp4DvTe>F%-;5104yroykX2;eFG$_IH-a zFc6^J|4k|hxb|!_n_ZCv;gF~?CUS7Plhlbn#iDeGPvz}s3|3!3@c9Wk`QT228T|X zoWD*g$gHh1XuqBYj=n<=b{M2X2t#z9?!hz&T&1k#b2|l;+&?JK+?@<67ZSW*Y9~V) zm-5A>?@~a;;mm#?@pLdq%e7#it}_rB8lzU+dj?Lq zTXm0To`LK;S-dvO&%nvDS3y;a&%ku4PqJytGhp$&S9%BgGGY9wf9IB>EEw~5a%FGM zf*Uz`8i&_s!IsDKmx?%K!i5Vf=Dd^11c_<~-5FV#@IL*Ld-;n@xU1~EVEM63Sl}p zYTo|5IvKEPdFs~ax(w)&>5^Z+B@>DqRyt4h%Y;L=G$TukOo+Sqv{&>5ZujYfFE?jr z!NCg;s_HGWAkwUJa9MB`e7V0#zUX)sa4SBXF%#P{U0%BM?A0t-S}5>=Jv$5h1jo$C z$}BK+e177BQzjh$a8hfNTqab?Y;ey!l?mAf8<=7nme0}6hE1kt z)m5voeKGwz?6JIH&IX6*o-CO1tb9U!OEzptd2ICha5g0R*JLaX%7zem?xIcZ*$_QF z_`u7+Y*08b$eHX{P-rGLLQJu?fep>N5>wb`)j zK-_{0kF!DYTvV3$${hHlc}u2cVGfLXNYB0}oC8Z63$(QM<-oCvZ1*4C&4CP)%0;ht z=7P7mbM=jqT!_6FFnY8w7hEEpbPBbp6-8L7pt;THE_~pXKtmndYF}V=1Y@}vSLoO_sd!V7NFBkauzFaf^kqfdy z$wtBNav}6mM9_<}T&M}zbSP(IE+`&dDkR&N111}l2RLhTV0RUF_r$dvC>%F+shO1v zr6#KHhWF&cqb++W#}FPor5L z*qkgsH?SZNUPnpPdj{o!tdh-}J4X3%=3#xrT;T#Rp~|{4Z3^Hn$g9neFMxhFxvORO z@}aGfD?2?sA8zK0_uL4`hpDp`ISGyB0d@EMh9qhpyg0LReZ-kO@LF`FtROEBE^O0q zEY8n^d%Ip9`V^f9sWL$y25j>{LO@hd#3&CQpQbH|^UQ;pYo78&p34InwZLsZc=BQ0 z5zF`6b@M?$N#eBe@qC!)B*H)ZAs^I6*aNQZDS$Q)4;3}f0`Mne)>;w;aLZ}?`4?UJ zFq>90?L$jGIEco-Q9hRsJRbeABFXt++|1**Q!gKK=Go0C{*ecY_WH+WGV_3b?K*wg zl{_d`+xk@NULHgSI2HiL$s@L?ZNW$$bR}_L+HornTBYR0&Nb&jl9@ty!fRaKBS7t? zY(4~0!aEPG$p@REH#b7R=RxV+T#ld*d0;iPh+EAiAC~N3K66nmfR)wZ>Dt!|V9I%= z*}{1Rp#Md^)8|b-w8l7+gbn!+B6P&yxllfQ^n2yZ<(&^3TuvM5Jj;h&k#k;u9>e`- zoi$go3HPV3_{u{e`4Bdtd^!Q!wMJ*<*@jQ~FnUlTJ4?3!tUo+(Q`%Ah(uL=2O@%N% zUt&egC-OmEX5>_sWdWR!%M|QdUkKbTcJ@@^BG^6AC?s~Y2qJndB=|k3Tg%H54y^HBt2(KOX zTV~W2LbFC+t&mI+@bobHulW>##-O!vl3@}2P`1`N_r4H>+~d4un+jnr`^PBDhC+z( z^lQCRQ3wh<4jokuE`;PZs$7FvAw(acx|JO-1XF!$qhPKg$SqDE%SkSR?H7_nPJJqZ z7w0N#_iz@&p%zc-o4z8ra8dWn@pDCxm|i6EssPJ>Dm8hRT?8eTjGZs5ir~KYisF_# zMIiHpS@8OO5%8Xg@zZ%(1Rre!duDVN!RrIM53kXS-~jc#To79^jEiiR)LmB$Myt*w za&0RHXTz_YSN0Ucs%qH?os?qesM82n5-fpzHBt-g3QAyMy#9h~vrD1#jk#pN#!?u1 znY|@Ny%d}yzBDc7Erk`^KHF`$RRY5|Ow_7UN??yzLJM0&32-DbZ^|Z?z~+j8HrMJB zXrI!(u&b#Aq~xP+D~6PS+~u^-XGV*$|2YN~ITnM*!g(*WEs9}=$AqBESTSfR+}hz% zh1<`+Hcxn{1h%cL-N|>l1e!0sSEMd4fd~8KJn5Vz(AnTmR}?RS1;PB^PaBj#Ki|dz zXSWh?x&EE+ctr{D2HbFeHnS93@1I>G?Oh7_N&<#YE|tQj&MkKxhf5*ys@xRoSEZ2r zUFXofl2W+X94dWDqZA7GK6Oc4ErBK47vtt_D8b|V=>GW1VmvSG;JBbu466lcyG|`C z27{Mtz1Are1LsDEHYxXFP%78md9kb*e|~9@9eP|0E;U9&$s@&Z=~j{W!rR3#VHy5u z@IWyHUQ~;HC|nG0tTa}*aTJ5zllwhJlEtvYyRygJ7Wc!`lo!f}ilHG%LF2Y@F_b;d zKI%d#hKhkh_3UShU=wf0VgB$U2=Ok}agQtlJ?)WN&m%>kU)L~u?ye#{UQSrP5-oy> za=whJ8AV{U@EM=y{33YpyzfVZL=hNp9ZE=CQv|EadQ)E67lEI5{yn>aBAC8|?Os?$ zF&iH2{~(kp@a^PHa4 zJSu^={hxG{giB%AYwxs&4@+Qfp8w6{10_(>@(E@dl|c9RFt)*>5`Yao$Li;l!pz~P z@LCM>s>^*a`zGeis*V@tVI}bL(o*}&Snh_+@k-k@rSO&a?LzXf6w(tir3akOLSds* z^Syzy(C!dPIlH3_*zGxPPvn$=;-~sIUAN01dfwqr=J(3rLe)0e8Q05TGrweNJGBg= zRK$7Dm6pNmRX?t*tt$h;KAG2BFPDMADb?74_A($M!lrFFzi6G@oUr^d@N>=H?suyU z8W!l~2}qWMg%Fo{SYbH~DN>KA3spdbsi4Kxy%n(JOx?!=DHRa-W=q(Mj}@@<&I})c z)s^6CHv3+?P96pFrT3av0Z(-fCrE0gRhG z@9fws!M4B1=`B>kb^Ak&^LJH3;^u~o3WG{mZ#s4Ov3w=OHXdK%vbYkKO&R4-kf?+e z{WH3I^eUmMn7ubFpb}u!#w!tLD#2Xb(?-9z612{#iSI6{gik8lEhfqO+h7W-pBA6pjN`&M@LNVysHGGP3HXb*HppS-PP?G+Et+W;DfcZ zP!$Y$^BjNIUJ1s-q+#>XN_ZtU%O}yT66oh2_w2W-gc{P_s;*TDr&_x^ip46Sg}r{6 z!wjrviMNI8^h%H@^0#8nuLNF|@m1SaR04aPoaI8nO6cl-yXE|)3h3tiB9WR`-MIX91sJ)Em2MNL zg!9sO`+8+7p-45EIi_C;jH?S%uKQyA^RJ(~i1A`NnU(NjTzF&_Ovp^H0xv%f^CeTN z;C0U0o~uKZAZ+J+uAE*8&j;48&BwULD-}u7BP!u@z?|#*Eh>S``k3)rvl5&kock%M zgt=ZH4VIf#Lgl8$r*5Y!A@en*=lwt>+2%6gpD{Bg~>F&L^s%aY6g#Y3p&hXrB&~kxE$F{MtYq+w*?0fMy^d$(;&)pEUd59j1b^Sv+^8Cl#I?jtn2yrov|n zP7iBQDx|MjxlVQ#72aM7zs$)&h3L-JvO&Ey5LbIXul8aMv@@UZm*Doy*|{VqmQlga zEZWvSgbI(-oNuLEphCo;(SEQlG-&kVMYz?F|ogYytoFs z_Q!o)i}k;@;UkaOL=9BlSuv8lm$dc@LcqI;JJ5H z{9b6e+jX&85O}LCGHX>WG-t(?t1PL7HOUX7(iYX?`EuIACW%`3BqFq}SF#rD)|XC% z&##3dHLZ>pJhiZHZ}62v%W5I{;h_mXr~_H#qDw`8}Wrcs)gAbulDZ8dUs7X3tTl&3psBKdxJ04LYn&Xpg9+7fwpHa zXU=FX@a|Tb*aCI1z5j~jRJS^4c(Pn-!NEFk3KqPxCa4a!%o4eAJgN>pIJtFwPN@U8 zwz}2hk#(S6dPI}DyACwf!d|tD)&aLe)3jL=wXlMc^yL1uI#6)Pi{@3SgCCeE-r z*dTN4n__z%^gf!g(5nZxBjT$N-c<*eGRw_`>2+{Si#liK(>k!RfAe(9l6v?q_D-mK zZ9ROl6ZQ>WS`S<)*P=H}tp}6#4gtS4lkx zExD?k5>*fTnbW=nC1Sm9bC}T^>cQ1lnks%5-%rrr&g-p*u<;jRBaiE$Zf0~11-Ea- zWGJ3KR}VL`h7Re4)WeDX@~-VF^)NT+d;VRCdU()&-koDtJ@8w{<&?D4L-eyU8?%@7 zpf~aMSwj!5N2=sYDAv2|b^h~BrS-tOYV1R2b3Ke1hORKBW4(eFFI)1w9#$?GjkEuX z+wZE`$FZ;h2G@U^+X)TudEBNtds_p<-Ou9-*wFxj6~e9JrVTLK`EI?BM*}dqvTfDk z8X!e;8NXC!0~i^L>M6!IK=r&wiKBiEa7<62VYg!gR5`WepSEcL%~_J!xA!!_+*x10 zb>sR>#u73XnKi(hTaF9ZA{$`X%7FbFqXFDR+5?}lHNtUG-VMX=8}K;VwWp%G0rE^- z^1}QZz@FLkEzr3Ec-`cF$VN4QbLr|%(KZ~<{i-bewE=XGCY;n<(+FC=H)zL98^OC) zIniljBV5pVpS~04GtCAVACns(%0?mE+NuE-+`XM971999PJQ_9+1~&gPEI|#&$tn2 zLNWGUv5lZD-uirIcq7zDt+ZCy+X$-^_sXAFZ3L^Pp~i68MsSE)3|5S(Z}!&}e@d#dGpRx=u5jg%U_j-v@S@CH$r3pK&e7mw-E z9~<#|f6h4t^^L$&ef8eg4lK=vCXjx1 zI97LQ6U@ty{~9~i2=h(t`c#G*VN|^8?qNz3e0o+jB+c0bmCtW>G(2vEneskXJ(Z0> z33w9K)!GQxyo^KV&%|=o`RZS-n&9C0)?11PnxM?`{DC{Go8Uw79M!oG8-ZT4XgsT~ z5nlV%j}JX)1ihmz?c7V6;0kBu$!VLKV1?YRqrr+z@I$>f{MGkHc)WC$MjyQqR%FfJ zbKr6#OcOfE;Jn=ks+;dVopKk~Q+`+p1{&e6q|>$u(I&9G8)2w;vkQXCYl1`f zq#A|ZG{I-;-EB5WO)w|KOk;&)6Ij*h9=ycf1jPPhpz(T)n|sRT^lWTj$d-iS_f62! z7tH3$-wZa-77Wau+YCYX#VpyEHACmI?aqCA%^)BydRxe|8Itn%_KSx!Ly6G$jm7TG z5JUQUviCLvPu`H!dfR633(epbIMxg!!*;431elv)1Nq@VJ zk%){rdN9<50(?7T7K*vcW>36(llu9pv$E z1(QH8ZlAF$CkOuIz@HrWlLLQp z;7<vP@FxfU&&z?Iw`%78+Z~brb`xew82;_v@B1xNvRQAWe*Q7<PKY{|x`%MnGqymd0O?%K5qJ6EP`9 z|F0jc^4BAYG!4{u?D%kq;I@o149n(7AH6b{N%ysI+)N#GXs&65wQVI=~q zBxC9cP~e43wsY+ zdpCR%k1OjI_;Re9UTxRb(cZ4TMN@n7AuUQ6GggpoEWIo}ZN2dCV(|?ZYr^km`}~iO zUts-ZE^GKbX8q~(e;xk$@e6-FRp7rC`t$lv1pY+ePXzu%;Qzb`L`H>7SyItK?#lTp z3sF1BkKy&sJdGVh@JV+j+qn)B_pY2ddZB}i2cDQVbhU%%ZCkVc>8%c;%JtCoF1>?% z7%F{n^==1=8C$A$`#}d;lqfg7uD64v9yU-b?du?4brd|ZUg3JAcnVIx>mclbP2G_n zJIE%QCvV7?4#Fj|S>1c0gJ>z;^V-kRN&Js!7Flq0lAZ749~kj=5^u{}SsQ0}lKg!? z4z3sKB&IIlqbSlzu2ifnS-H5Ah(DVCc+rYZvUe8mYyqiGLfKTQ%`MkS+~(@}PbhYh zobefDAJ%met+RU{52|&N-thRKhnk(_+#>;#`x`sS1~#w2YnwZXrrYMq*6q05rDxBp zcXg8L-c+F?^G-78sHA_!vXfNqK7T0Qu9Ijdsa1zNbrRoYst5htI|*0c*l9QKPGWpP zX0v@jCoyQ(4>b?&BxMSswcCz#k~-I(0PW+QWb3BSBC0W+f_GKmpaLP*;~h(u46r2&08xvI*CTs=ixji#wWFSS?c{xa>|sL zoP31a=^c(b@~o3Q2yt)oAHe!8lKkQ@)JdpklULZh?<9%q%1n2Uc9IinEY>#ArevF4k>drq8WSdDN zUg4Jn1830)L;Y;!=o}h(wlhiZfFO;0{2KA%^*kC;J#f;;PMAjglDge`7t)B{Rk3O_ zF&g2V{z?Dt5*o?QY3?&zP9w3_3BfnTX=LAl5$7paZ)YgRIxx{*f8964VF>(R(M_uj)_4QS-^NZms3tu%7ADy9D2HX3=v zCAMk55sf4YMcsRDOe2zy_8qm@O(REC)kJ&DXe1)_j)l@*8X4PMJ+#Rh+ZpRZyJ$-z z=@nmRYC6zJ$NTARb^B>V!S~Y+MHei`#`d<{jYbx+eGXsgf$e#;eImz;Mn;{cwk-0c zk@zDocc%E`^6M_Xn-fSQVY21NV-C^C*Son(xkG7WzwzPL!-r|)rjo<1iK7^w%bVW& zMbJpXF3G45ku);v-O}Z*CuoFS)TwFkB#mS!IjLC1Qg3JT{N7rxC%n@==~9tZ!0G zYB3BRS0 zi|&`@5{GfW*&MvV|A9uR?FKecpJ=4sZPu5mV>F_CY2nl0uQU>)_-6IDaT@t>`|?fi zAD9q66ZuiWflV$6-+wbI~llo{8 zHX1*jggHD*)tf^n2|iTC%X8`EzR8gem`5k6vyB{@7T|JwRoK@o#Q7Nu($a8MHh1uowQx`cim!u^>5JNy1s=@tlnJC(%eQTkJnrsF4;jR z>)QtIC>zts;lLEaj2WE_9JrcWw1-ZD!wNSn-A5-T*JAITv7!^>rF;kG z+0x1B&vNhL?CB(Wu36yB{aA0y4z&npI-v_Xp{{dWI?Jk}%Pdecf)h+Pw zp_8*V8^{|!I?2-&?y)~eCx;wPdOi!na>B}A%tGkIV|8=ky)ZhFwA*(#hQZ`I_}{bi(;6;Nj|17`N!7ZKa8HQd85w zFP?(?C*VX$b{f_%NmolGgHEKs&3>GiMJMGhY^}3%>E!N0-r3RlbRs)C<1A+pok((h z)DA776ZS99pL{z@Cma{s{e3EM|Lr~SU<4)Go6GlFADAYLMKy>9ueL;j_vL@ti3*g z`8g!IRf~;5tk(1np5tH;{B>tGRZbi~=U}VhVvs}0Ep;+87-W8Ty_TY7d2!nj8)i}Z-${-FW67~lz zW{}aCz{atq45IdN#Mp8LgEX)Wy<}U-Ajh+~!X2a-L@;$o?D;ANnXOgZv`3CXmZkJ^ z-;-yMCDLm;cdTI$o6lAex7T8Q^LH%SsKOv(-`2KVP-T!!TEfN~fI;k}hTqkzGYBJ! zc3fVILD&__mX_%-NIFk+tN11c@zyikm7~ufl$S%pB3l@Ep8wXFY{szY4!qGY>U%PX#mJ4AE8Yw; zZFQZ5x*vn^HD+IE4q%XYUvG1zAO^V=qBmL@jP=@-q%9f7AmS0wBs13#Qx87qZvg0QCVDU41;{0Wg|5sjzRYBN%T9Cz#w@B&vV%l8D!(^uVVqp z4Du+NJ>gR-gG?xlOS_+85R;TgS6*deygC~9+2-JW`VjW@Ngjg~onLjzw2(nAKfSZ+ zPBDWVeyH8F^(@A{XNA#?at5*WmwBsI#UN?(7DlwyFvxjT?jzzU)GNGHLYEmd4WOt@8q`5zsw*Jasj(eUB&t@@O;mAgFz&o z&5k;Li$Nr%-!7Zd$so!C%i9joG496CO};Q0B;;Yui054fImVR{{q{bCY=|sb;rM_- zj%cT~KYzp^r(SrN?(Joep)2Yi??1!!s>{Ue=)=6*xFHnK1n5nO=psGr$0!4=V1~N z`RiAFXEI6j8?tX?7L!b$8}ZdyfJp{F+MgN_WD>P|M8;}9lO$f3x%N<)NlpaVS?yZH zB&H)8<8(15aW4=~G+2u3r>u~>x|~UF%{zNtU4ltcO4F=cB$?#lH`WcBnB-osZ&H;k zuK$U}YH4{Uk+t@@S)j-yM@%;ySiBau^LXxz^mR<4QGGR8P?bqq_($dA)R;v7Ip6IW z>P+(DfvEj4O(uEYIGc@4he`OYpQRq$i0xdNsW_^K@5j5l-8VDIjo@m}*ISuHKw=uZ z-F7CKd2B^`uMv~@eAiJj+r=adOJmxd-Ap1j)p)<5Ig>0H*PC*4FSb8GHACByNkZ;P zDYsiQNzD1rbQL>nS4yo@tpm1WmG)FQCnjmnfy@#YCK>uHx^B5UlZ38heh=TbV8%+`LFua?OqDx@45vzes&R(iKW9+McptM@D~U=qc# z7T%S`Ou|`MSD0Ih?Uij%UsTQ{7G9SgBv&%Y2=$WpoEn_pS3fhRmPsOa=NEG|U_1{U z)jZt9BvzlD9(`|N64xX86SFI&N3r z*#FT@jE6_TERzl@If~;oZw2vW=&UMCgC6 zy~)=_y7hXu>dfjQuNo>|w$JGz2ebnZuNUkhA)ZbP>*jTlx{VI?a>8BY#4M3*r3<@= zUc=1S%f-6L#@7BLSxdUe%*$UE2`}#=e0uo}r^UNSaemQue#tJvHqsCGA^eBXSX@|S6pfFQTOYzex@_NXk!kwU?cXa7C!CDG0JP!43HKt(TE3a&7O2PS# zQgNj@h5fpswre&~5IFtneYS=8v3`9{dn<)%kH-tLw^8WKe^{crokCVx#`c@`WW8SD z4|zulkDk4Zy68kfb6Vwp(t9X8m!Zp|T`0)SXtW={pVZgQ7&zrh?)M0b89qqi-S_RP zeuv5W9O;T5M<~cxwmP_bQ%E-G{Mq3{p|ELu+#Wv)50(1V-Um=JNUDO_7{T;%>s3YkuOQ+9de1L@-+-4y(h@D0g#`zs_ognLDN+6kxpw&iY}6l|gc-+bz(aKqE# zkkfYx-mf=^zwM(S(JXh}dVs=*x(5BmUliC_nlk-Ek>^1-zp5dklW8ywBZNbpWM=+o z8mgiF>vTkE=s9M$WQ)EZ$Mt4N|%)|3( zs3#xE`Jzliu2jj)S(S$5eu+=-7t+vOE_PzO290*NP8mv*hJ0gRuEkOsinZ^}YjtS2 zU2SML)T6Pn`$2HAKIuFBwCwU#G;SSp%X_$nhQlIb3yrlj(x%VsxMM^k%w_nb(s~*n z^#9DhvVjH_*7-=roW>06kDC%KXqd(DUnXrKexK)^3b&$BB9lI6%r+Vx?jBE$+tLVl zW4L9|jz+$WVyEX08u1f8p6=dBqc5&le*bP7GL=P7Tb&6X*8;HmjsN@EHyBlKS3{wlb$C*z1egJ<)H5@_5x;92Z*fktJ-7Texr8Wpa~``j)OKSnB%?U#vGR>MD6Uo z!n>unUnh^o0gI972ajpADs-zXd`9Ejk-_p?1!VnRp@Tv(4GD#+pDCp@Y|Wp=POqTx zdw+^rY!wY(3&+X{&uN7CuXGHpqp?zQ)ZoYq8vVB)$N9e^>(gQu4m8oY7I3rbFhxUJ zGj8WshV)ew{M(tQQS9TE@Zl|utXW$Y*}W(JrRLO7Ei^WX{&3nPq_H`*{7>yC8a*i~ ziAEjdsCQAL?aVIsX@pafvOp zSALUqTkh|fHAKVnmixbiVd8uB;Uvk?491NdS`sma!9A}H^<%^sXzriy5;Ts%>K9$Z zgA*9oCRZkVO=2)3?3q^2WCntpg)jC?F|cU9vR5e0;P+d%QI0biSQp!;aI+X>hnZ?y z$uU^q<=XI4otCSf?3OSvpDnw5`{gu{21~+nD4`eQ4 z5HR90Mn#jsD2u(9)3g{URGBTCqr>1zk496{G6tfZl5SG^4D4=ni$<+v&{3a%MSKl| zb<$CKAqET*ZKGcg88Uc$DCpp^bqtbc?G@`YVKBT{|Jp$_200^x%Rg^quzP#Kn_Zh3 zwB@B9YPMvc`KHAYG_`*kC6Ewb>KL7w%$^ zu2q?)>&#$uYRJl*y@bcs5N6>422Nw5J<{EXZdS^KdF~9DKF^z%JQ%!gaa=vaiyV&{ zaj{1UXXg!`6MY#_ZA&G>{26#|S4baqoWYd(X$Uw$^sKu0fs+jGFRu3TIL%;TUHqiZ zFv4kg?`@X|28QBW4O-4I&`+K?MIxF(gNeV_$~dB@sXcjf0s}=SiMw^@8N}+>uQg6) zkgIyDxg>>wZg`51{$&OmO|MURbd`Z@>iLYtX$&;_&lzRhB)ZKW@8{npx|U0Quihnk z*9WJ{-e=G^q2^v<7RlEw&3JMS1Ix1WA0i$y(DTmtocV~s+2sc-B%d*`DGSd0ozGyb zy32a+A_jSudLMgANM2qd0SC$%01WctF2|S-Z4lL%*<73 zVL<)_((Fbn$*Zd8)0|HXzIwKvNdC-Vea^>O)4meFqe>q}bun<>5VmpLHwIr6cYhA) zC3AY|(8+&47|0C-&i4Ju;CRc?M}30~$_;Hc9s0|lu14d_=YI@JWq*h49>pTn=BeB} z5f%%*;vd_LWwFaYbMtF)7T=#_e>I=L!trh1=^6p_mv!aLV4?JJBvgGCi<@1|b8pXPajmZ8**tj`#g?U3sR}INn%zA^iA9iB=$W_$ zEIR(}m?xpaV%+<61z~C|OvA0LM=xUWzR><#z+x5+XH6r1E@9DSW2kgQo5emQouW=% z7HZ}F+x9MJG3r#=_m&kbf}Oq3+LKL{$643;getsi&lGPqWD)3i#kSsPN;_7QV5aQ44HXTnPU0-?i;5 z9&ax%lXW2XO}%P=-jRh!ThzehT`ayDABj1;hsDbHO{!z}lDc9uDo*TYF-1`A@W+*f zr18U_-iKIBe{d`I+hG>|gC%ONo-914zOHQZX3;(P(sAc8;{S2}An!-|X}B1_HIRku zqe%5vK`a`Le5yB`WU<-S+o|#t3%w4zKdZx7v`J|tJ_{$hO`;mw=UC*Ae^rwe#ghF; z!7kNU7UFq#|K5maVe}^Ry!?5>#XW2B#U#SFJGpjR3X2Jyr}spsvdFvS{%_n>!qeY4 z>C|-=I!7dz4Bud3nN?Zmn@-l%U3LC(hxEOsc=*sg7SDdxBzI(z`v%`??Rmgr$hG3d zyIhiwaGHoMm5baOhzX*;FfJzLPnxC^^362icte&Yk&UfW@5&Cvw&evUpIs z$E@rR3v<2cpH}>1QDog4^mv5uY#xwVBEmsmt1I`OD2LUtL*~lj92#2N+pmr15KX@c zo-M(_=Kw8xL6Th0uFab=l>>La(&F4S4n}{|JI2o7uwh+PNU#it*k$|V{>pM#nXdo% z=o}6qrIR*)pUc5nvHFXvB8LLeho?Tx=g8+|_vbkM$Kk1X>Jxz~hia?XE!OHBWW{1T zUukeC)Hxe!x`e~G>#lRFmU56hYW{4EE{E6DEUSDy4igSEcWJNS;3+5$%U;Dn`(>?y z8aPz`E6KmPmV=7u#jSIVIoNK$)N^q?hx^$_!=+6*l%G4S7-P=iV3pHjaq2M_s!Meg<-A{V&ZeA&TaJF4kqW3gZ46~IH;d^HxM7n zVV+`V%%pG*3GeDu!_RUMqwZITL~%GPJh$U`42RQU>wf);;}ADbHqJAVL!HJaweAZX zc9vyU?z_mLy|U1;^%CKb`*6_V3J1H~ta$bs2Y>xMb;}zhkHGBe7qNJ^8c(u0lngf2EXgJOR)+7opGWek-~3nk35N)?ZRf8)BY9M9 zTr5|}L0-$a_Chg-AvcRXQ_ILaeP8+STm{L+cTJL5HHT~JvP(`r=O9wuS@*Y&_~xHE z`@H1PCVG7M`zsDV1J)(Gz2;zHAg$F-5nZv_FPvBoH9q6^zU4V+IsG27ZYFb?C%oAB zo*{cAKEzt_-z|q(7{15f667DP7Y0mjoJ^oIjG%;Yf$^n zLDN2L|E)d_dshXCC=8H#C9bI{zc{3|cUymlk6T#-`bKkk4D?V`@jM=)S-0Jn&*xz> z-(_5$G7ptS>S-FP5T*(9=^hy zRg!uXH9St;sS1B(z@v2Pp`tTJJWO9SbKUEBZ0@c1 z+`oax2e(`ap&5_YA7j&ZSnv>>Jp^tuk6bkqfu$7>v2X?Nm)1Nge|1hWvE`BaH{*7> z9S?=hGX|@6@aX4GzkRZkhmlC&QLWuPe%$q#oaxM?L*L=zkr^ zw6xy(XckBGkH!a7C-ATn9-eM+f%pnDAb*3)Lp^Zf2Hi_Mm>pE>gUh6DbZX$jYb4L4 zh#Bc=JTk-+9w^-6;ns# zmQi^;p2~-I`ak9&G~5(A@RWz-fmw4s3V1A!7C!x2MC$&ovUDjWobHx(eJJN~)2<-Q zu8K!;)nx^`hDW4kaQ>z`9w#pC-dgv9^iitbWAuvTyl`@ONfVE_3%&F7DISFd1qFEw zj|a+EtQYe<4zkJL?!F~+6rK<<|2>b{KaMJ0Z6Wm?ZHs0JdDKZ-*(81me@U)Zk#>&5Je-T&`?*m9Y*XD5Z8b)K5R2I=4Pynk@Aaw7WSjuk-q+YyOb|e% z*l%FfBmsV^IK(`iEP(&q!>UWA1ki0fP?0GuKtXlj4wab#tSO55l{QNNZ57YBIdTFh zCv07qEHA+9VcjaJc>)+KjoulhB!FJDa8O)X0GEfE@gXV#RLAdB|EDHE?-SMPV~Ye3 zDoQx@Ef#>_|8r1FfCY845?U}RTa)4W`OWmR`}*{l>mP4nE}rqu$p zw}hTIHxM8#E_iW`p#Y9+18NP{2_XC9=$=9o0hk*e|8&g+sF$=#%GoGDk)O^I_00k- z_ghh)ZYdzoZ&EJvtObxe)jWL3Mu59H(aAIH1h99s)rxZvVC1spi-|i0I8HWTVY>vV idtfqZw6g#`n+;O}_6pE;Mp^skegTH}jBoI86X1V=w6%u- literal 0 HcmV?d00001 diff --git a/tests/ref_data/readers/tn14_rmmeanF.nc b/tests/ref_data/readers/tn14_rmmeanF.nc new file mode 100644 index 0000000000000000000000000000000000000000..1bbcb0b8f8ea8d918d50fabff639a2c62a6c628c GIT binary patch literal 35465 zcmeI*3tSCb-#GBu+9kD95xIoiLr9`H7Nv`jL`8_CJKam`-=e(bH&pG<;wPt4RnYCtS&#e8M*-LG$Y&6uG zsntdewObtJS&SwA)h#|;FyMtZC%I3-n1 z*bcr`V!|A+bxTWn-VTo0~yTq`j;jly;t}tI# ziFu20tPIr#EU6@F(j4BR6gO+i#-C%5LWjuZ6LOwKiohPJ+^Vx?g;i4!>suRWg8s(7eN0Nj`(Tx-P<*+ z&Y@NIHlw+8U?cgV3H$pmxiF4vIpN(&VO|x^b{J$I!LdKoTF@4Ilbt3*d+C1FUcX_1 zfe5O7^OxHFc4ty)%q9|vg`$)^`~%M6 zR?EiRZjk)x%iO|b!uBk&VzsHnsl$h+n~k5p|0s9=XO8PRruuTu;OZk#7lw4kEJf0HkiL(h%)L0EpF9HGU8e4(6?-%Kx*U!P>$1g@}0kvKk7UAn9W7i7hWk; z)PSM}6g8lz0YwccYCur~iW*SVfT9KzHK3>gMGgFQHNg5dgbv>#S9qWM*#99(W&O-b zoF-?)`XokL+gOjZwzsr)@6Kaf`Yw5 z!u;r$4(v;#HuN7`w&`9WtTl+SVIcqQ1TpE>r<<{%ucvn}(xY1slWsj(>vCMwPwX$p z4FLGRDLd}8d>X3buar9=f2HK}bY@1o%MvlwPM)R39AJ@O&GPLUcdB6S-F)mc^O<9o zjG2>v>IhS3)Y5onO!(dH%*4v#z08X~L9JOiK1Hs>m<8(`do!QQQ#&%f&dz_$rfW5% z?Rlnyfmb1OzVnHz%!bN=7nmUx@A>z8@pxYXOKnVJ`EqWQ-AZKXGdteNnQAjzZ)0w0zdn+AiiD42rmTHEin;N1y>O;;yxC=D z*9LPwG9!jA`^@az#{U}gbYK);zQx_X{BoXp+OC}Cj~pbr&fMK9f?rO}w&SEM9q*@} z#T>uhfOmH8XJxj$k&k3z<`$iO>dewtb=8=D0q1^Y)1N5Vc#^rX#`Xbow&l${X5xIy zoy`7;ee#(DwR~ckGqQCL@#Eumi&!};RO+;3zK-sz!t|Lc?#r}Dv*6YF*+Yq?Gfo@x z)2BVyQkSKdkH345l@pLMaVv9vy%BquGn1?1odbsxTL#|+R+dCI1rX4-?F?}5@>zT6q(yYSmDx!&Rv8!x+JS*bsl$JfWCajr91{pGD z$~=@<$DXNi_izOB^_upD%;wjQ9boR1m*+DZ?(H_2`NA}G8B<*D=)=4@G@38>jjdl# zmhQQ(jR~_&=_tOPT8c;pOFO)qnZm44R_D_)WsNB;efeG^H|CV&y8L>yKhx5erFC0r zTQN^Bco@h$n!LJz8RTvBfO)4^<5SEom$GA-yZd(JmwRBBgGnsytm?Ijd8_6VU(ZvQ zp6BalnQ?gz%MWR`?^kC3KJ~6MtLz?5XKLGt`1kKnbZY`jhwiEq&Qz94hA}NBRPy!N zcjZTZ{y95)SFrp5(dLcJDYvTl_I$Og7oV=s^4ZJs=T^L1#B4NU+IXhYlDCn}j^g62 z%uQ=n-DcW^JbTDA^U3Ac=X^uWB9>m?OrN)M$nIR09unD_A8-Gx(^{6+*m-O=^OM~k zDYJRdGfidch38G%Fz4joG-CGqXxWtcTdMIdY&v77($h?n)!T}hZH@KHnMWGj=gY5m zW#Z#^&hol-fY=~WA^EMubRzQc(Sx1 zOG_m?@3ZuV4(s^!H9vdk2ur(!PdUoWUFG|jIm%UH#irLk-+UBP`|U(GrkZZK?gHOg(<5KF#m(v~oRlMd$L< z3#f7Dy@s8pc7AerNIBIzt-kmTRoSgerZ%1L;Q0=18&VHn?&_{dT~x8O@HrhnUoCge ze(IRK9*Z_nhm7>{xkOFf{A67<^}YXw9#z!hCr^w_>3owW{CwJzsx;~1^8o6(b?v?S zP@_H`l`o^ym4=EU*HBF~7i1lzHXdDZ^9FU@Y3Ds!bh;VJXB_HN>zc*w)uU?u8hXKj z`sfqadK~rGuf~pS{bH_Z&n>3bxsc*eNL?LPHB_CB&(l*^Ye3zSB<|FS`atfNHGnEI zyB=Uq-P85Z_Eyx5vvtp&qVqKiU2{2x`dB=(*Bb2|OH zI{IyUQDb*koF7KLw`12pw!T@-JH@f`=B$fTxj?7)F4nMS^WD0V)>cZ**BiIEk~%I| zQhJN(`*z>am(&ld0(aG;^9}7ecAYiVGho_Med?@c!;i9d*>dT|<5X&;qnhJ7s{D5M z_A9B8i9>osQzu=qkBFz9ebLip2X)tgj?Y*-jOk*N!RpWCdUqRR>gL|cOU$UjA>J!3 zsJ=DXWgqBtM^;BZKSuRg^{x*qM`_vv9banywN?{nP;GC`s*_8NIZHCwau+{b^y&q5 z?*q@5Y`Z&i?)B|v)JZ8@!&!NzpRM<{q3MX{<{w%8-)&#sw202`+<)uJg5znDr4DpUvb}X&mrpCihftwcC!9d+kOSq zUZRvkEN$?l!7%oIBQ`f!sY1)|vidhSwjcaGfg#47;duJb2@ElN;QaneXveo#zd~RL zbYIW_l~Dfxp?iX@i3{mo^kwdB4B8RG4F0KsA*}y|buS2kA}k!^>okO6EY3QXCajw} zH$0q9M28muC!w7(EM^mf6{iLIg+Ye{4WZ&Y9DIYOg@o#d`UQG;=^Gmv8Fw`@>Dr^W zzL8O1{(ngi=(wl{9Ty(%{$7Ee?jd}i1?#t9eHOtXLH=IBVSXMou+_^aD8$b_kmKIH zHQ4=42hhA>h9PW8g)XdA>@@iw$1FDLu=CVFC)!`5!j?mmE{dmt*Hj7})M}$HH5{fl z5-NyB;D*BZ5P)MV$YTF~cm;Q?t2klf=xEIey;CCEX{5y3CoCpTmDLLyE?dhJ;FaR9 zq6QQ-pr`>w4Jc|rQ3Hw^P}G2;1{5`*r~yR{{BNs)zo$>;1b*YM0TBoPfSYx6j?dis z<-&R(Ud`KLa|(A+31K8+FM79*5F^5-Iid5c;_L1JLSW9??f@Ex@lU*8hu!7!bvF#V zyXEUNyQ}4gZs=pHEiF{q@}(}{u&y3D)b>#QKWX#MmOr!L#WWu($+;a=+vQqoae()9J({lw^blq743jJ$l3mb@o6@7bwx`#$s3Zfsp-xP zGTBUb?uFl^Z^Wf$F=07gI~w?y2?^=&F@4; z+=+Ce=f71sX@#5&?s9f@%SkfQczd{K$lWwz^z>(~Wbb{XUcF&XYKPOv`$^Vwr_R|= zj6Zswzqdt7>V6DfRgt`(_!)O<{?iB<(Um!O$ZVNTj$7D`t%;G5-iJ5qOx_?P?{bTd zx?hx%{+s4nS2{|`Z$8Jf7pJ6= z%CS@HU+W+x(G8}D^$U=at)VA76*QNT%zO9hY6MHk!4&-=(UWDQ(SE1S+dt8IpEuX4 zvLcnN$-fhGXKNa!7=F(BhDROoJP#8K7W4wK8^I9`aX8gxc%f&qeG92V`XGW`x}N! zF4FA`*Gs)clbLrH%1HmX=v($Dq-1)z(en#2Qc{sN`(o-C8Ife1Q|Z4mlc=fNJLp|Y zCqqs5I1isKCCU0`gM1zK*S4#${fMnP?BzzMlQp?-I#1{&Cz|J{y)yNZlaIk|%rmmm zNt*#Xf~ySWq@MD`#|uZu$?TP@0y>1Ild+N3^QOK@CoSeq>E>sgPP%k<_u24SN)mU< zTT4`BL|D$HMQ(xf24|5)nsr_n`exK_FV})Hb&Z_T$*5y*w=7vIBl2SNrVVB3q{*Qk zRd-EgwcGhp>xuqRW2EGAhM$@BJt^^4P4U*6nL$=@sY63g$ZGeaVD;t?TFsS`R_ogy zJmo1Rb9UIg{dtF!q#qy9LKKrmZudRa_WYnU@=)sdDMR5 z-EzWfx8-TI?<*{Ki$!B%MENqJ`g!WIM@4edZuIyM!`x)#^y}T1hJ?zAZ--&dYG&!= zj?vRGa(g+6U(l*_W}ciB&T5x=RZT|TW?q_j(pE<5A5Z9B*DizH?fqNc&@1U=YU)1o zxP<-Wr#Zily%Ls2yc#Sp>K?M6nC!XmbX8ee?eYoh^HAw!(dQ@WWY*6~YOC(06P=ZX zWo<5GkojYir(Ir>PM%+S-Q8|=IyrxCV{-STbfV&Vt@os*QZjF3W@DqvX|?T}n7+EQ zUu!AxocgrXYS3kbn?N|X4b+@a?;G{!OZ?+Gl|L0dr_*s^4jBQ#$~mES4YWew+G?4CDi-F zkK#!_ljODg<>=Fuby_u+)$Vtd*C&JqY|kXqj(ZoYRmp0PU%gVx9wk+$6WgX@ALqO; z^(M57(>@EG_M_#s?YXmCqk4Onrjv;l^9rk<)Ao(%5pc762Dv&yvs3SN8RTMki*X}- zGl}*4@!{h>W{}6}ldk1hW|HFbjTUEj%p$`slilT6ay*|<1V_M0fTA80^}uT2@7oUE znWq~(ACW~`wf;Q+ML;Ie%{6*s>6U7Pw`Y(Eolf*xo1aPE9^0}q z@@y`-x#;y&>w*HZvijWOfoVrbLc<5|`i#sb(QzIXrype29w&{0qw4RQet^^;`g831 z;v8aH=A4|9noEu*9#9+K`yfflc~*LU%>nYZZ_zQAV_8J_e4lVIdZMHAL9#J9z5Tn& zJmR=<#-nkv45B&OW9*5W+2lcl*mJ_j9P*~y{m&g!50E}nG>jXZ%O`itvzJURJ47so zJf5^V>M$`hZ}R4Wb}rd+Su4r8BAb+~bobo8?f?n1_C6)LdVu7bJq&Z;vT8rC;dAi_ zDRykUu+X%CD3ATEuY+G6S<*gde#ET9B)+ajuX=rQNSBTed)fCXB>f`X+iyL4gxrvf zQ*Eu3MJC(c*t5(dmuQuHxRgFWLVjIq*W~lWqh$2W&1(V;a!E+nwEjuEbI8IsgS}7p z$|A+ro)39oo=N16dN=zXJV5Nuy5COOltC0U2T9>vZ9R_}c|_7y*hyW|L2%s>xw?2S`oM(G$Zn^N6vMW3PFJ1*FC7>JNJUN650O8y(_B`9xL8?fKLm z`K0*C!5K-%^U0E=(|V6TW|QGFZYP}dI)LZRd8A3ft`^3h3dpt4ZF92<4iUq?onuEV z&Lu0w3F&Wp9wJ43#=jqS_fYNf=&bMHSGPkEv2^dAlciHgbbDJax7v7sw1}8&Ji5VQ zVigvodvIbdIor9ebF5V^xh#93^0rkW36-@Ed^PVV@!2w=+IM3%>0;8aM@~&Hp6BG_ z`R-w2p3~Os+>0DCXiX!Pj8-{#UY|!~1tSjniu1|ZBG>$ZQAbFMRZ0B2jd``}kr02$ z?c~`*#O2qc#lyQ7kbt|3H_mR5PuAa^c|A&_fJ|~to4f5{A>q~xnE39eg4+Cr4WGKm z%ks&4-<~(?spaG6e?EZ@iEAQ}3ERK_`lp8oU*I>x2R;Z_?7|a%{$tM%`KLy1uw4Jc|rQ3Hw^P}G2;1{5`*sDb}|HSqNnYARl#3eSr8&t0Jk^(I`Q3TfdARY(h0 zs6zTy4M`O41rQzrDvT4niW5YzFYW2zf{&Rr(T21Z|HKE5tKuJj%5i1*%<^~|6~G2p zb}t7V%-VoD?ZFbfizlNiq@#^M|DK?2Z?Ih-P|^>)ijT-mwSaUK4a8uB=OEA=pChV= z&jA&)hzB~{z~^)3;qx`)T_8UUyDD5KKw94&yyF2Dc!P<4U^okBpo0@eFZ9EEHJVI= z{OTEC=`1jH4j3B=x-10smVh-;VA*m|x(Zwo1BS(d4)_#b!wryD-2~p*0+wt8qj!K# zyFjD8pd<~vF9nO_U}_c^l>>U_f#&(3-VsoI3@keVCZ7T$&w#F_pxFgb=Mwm#94x;A zW?TcKZ-V}JK&MKu$wTmJ6`1`LjC}zHzXI)QK$G{N)+ewE`&)|nyInXgSq1uER@4I> zB%qEa_)Hrt(E)eqf{U7g{w+XTeXw0ykm~?mH2|Z!fp$GW0~1he3g-0#lLvs213_17 z(99Op847+F29`L0iH>0SDA33il(>P_?qI1W7&RI63;^wdL9I|w8V;_Q4f@Unt>%Mw zmVyN&b0ZHx+Ug*ve+c}L4`v(# z6N|y{)1agbtiA*mRe-TqLAzU^!Cg>%AFO%^M!p1HUxQX}!IDqlE_}%KA~75QC)Ney zJAq+_piVFFnJHM(7tA1FxH;I*5^Q1vR@;K5L%~#gFm?nO>;&441`Wo7;_+aW8<;l< zT;T=!`hr$dK>a}QLoj$J6fBqyCe8%IBS5ElV7~<*w-_w?8BAIRMyv!~qCu0jpx%10 zCLS!?2ue4DE4G4R$)H&Z_+d9#o(g8{2cy$L|4h&+8#KxVC5OTL1z^!pF!eYXd=fM% z0kzJ7Rlk66)KL8Wwg%v9o2CEXkM9@0jv0fWqrxM>{*A9=EZ8#r(Bs@;*ZtDv&YD<4 zPas&N=D*xz+LDfB6L`AM{PrGGBa`3VWBNb11ye$UB-yj}|NW=1f4l4~E!TF|CD#cSrFvhQrSYE(-JUSj*kPv=Z(ktx-IdaT72- z2i=0^pylXmv=N?N_C!abQ_VYmmlhAzh8u|fkj`6;IP#1It zx)x1GOVOvO20qWu5FLv8p;72g^cZ>v<)0=;+oTnHsvI2%>Wa=n6VPn*68Z{lh~I)4 zqa)BjbS1hMJ%!#!>(+z!?|@pN9_V~D3C%~ZpzqKoYEX_T>Wqe=Yf%|miatR#@S?&H zwMBi<#b`2m1igvU-;d#kmMB5Tp-E^aT86$rduqV^_GkdQ9NmbPqm`%%UIev8d!zHv zO=uo^1#O`T@7Ei3M#In?^bA^ss%gP|-soa=MNgp*(7O02#tx`8>VYmm zlhAzh8u|`x+8oxy6di?zp=;4}v=n`cYTyToAvzTGL6@M(=uz}0%C&&^Z-o-n6`h49 zpxI~{`V!S6D6ZU{4v#xnlFr)0gl8uh3>CF8hR z-Coxn=wxTZDd+d9*5T6V3bf#^-;B}Y?(r|*=_+;PoaoEOoKKv47mgh!bhynmngcmP zU+QvQV+(D#$@~P<&h{S0|3s25=T=X140oF5Hs_RF)0c9c_}RM4>h9(u=}TSi(>Zti z~aVINbh5j=NAHEQ!LurUt(5de4b~_Yf{F|J6ZV!bzfAX?-=zEFUqlm$goba0-V66#F8}Ru zr-b%!{i(+tVP_ZotB*V1?s#pCsyhFl-1!tMt*C*2NDW~34mTT@Cjrey@w;8_6{dBt zzt{*Jj^cNZ+yYFWMDe>gP6ba++M)Oz8He9#aY2}m-yLy>FntAmhc>~>08?}n8iuY# zWoRk-6jjHQkVqyulhLE-O;q?9l9qV-LQq#U9F0RW(K7S}s*UG4MyNd+fG$V( zpeND0sBos%1`pmAs2e&L-Gt_%m(dzj7tii`qmF0@8jbEp&!APPI$k_=LTyoRbTOKY z7NFPBkEkA=;PpkvpyB9xG!wmmzCg9{9Iz{DhfYS9qABQc^e#$!Q~03`YK{v1%NsDA zgZ_%XMuq<6k=Sn>jIKtvpjXgGs4DgscSQT53(&1-0a}hW$Nu8J=omB^~lj2BCA%?Wi{P7q>;%p?lDi=zUZb`-j`27U)EDF1iWLLocIm zQC;jO?u|O5A!rP`A3cj!q3YN_+!?h+ebB{dGI|ufj($S*u%GxRbPO7f#-W*L8Tta% z#(rWW)DE43E=6~t$I-i}xCQQqs0HeV&P6w&IcPch8g2AV|FQvoez@TNZi4%f7H+Rq zxLp-DhWD3Zy@ug(nPG67P8%2>-VWT=8I0}<`Wu1$dV=kGgIpg_>nBhMZi}*jw5Jtl zJ_yts0@m1pH->|GBf)rQFw6yX7zdh706$Cw3p~I?Z!p{sbn*v{g1{yrV09Q+Is;6d z1xC#QgCjwcg<#EMuq+CcE(cev0)1mZhgi@s4piL$-bn-twt%~~f&M!{qg|k6FL-|+ zSR@6Lp5A#PEfY}(_W`MzMViU-}(Hktr;I>E%Zga)p zHZyCS-v;!w1IsbEZ5IZ&g=27=xigHHU~t?036L(u;5JVTZcD*XG{E4tvJjYF zJQMWA;5I7^Zqvu$wgL=pOT^%|a13tCj)D2^$ALu{+?IsFZ6+ApW{$yadKlbRvlphX z!r(T8Oh~(8aGO2`w|&TieDPs090M-Giy>`R?$y>XeJKXFrDAYf6b82iV{n@t2DcetaGMx|+itkR{KXjD7LOMKz8KtQ zg~4t57~J+D0H!a;;I;w`ZcD`Awr~t?bHd;@BMfe9g28Q97s32V7~B?t!EG)W+-8Eo zZCV)IRzADF(N#zzY;#3~qD4;5Ho$ZY#&&whRnzi^kwKe++K3#o#t03~rNP jaNB*n;3+D=<;38&C=711!{9b83~sAB3)2;2aNB}hzr0THq5}b2Xo3pO7%A?RvNHEK zs~Pu~VT=JrsWgs! z_CLnS&fC{z-U4sCrLMlq=Q((K`1sm+_%dzO$FO7K8bd}$k(>ES?JwPj7ee3~;l| z&4BX~H@D^UxXyNNt}C1zx#4Bl;gw)`Usp$`c|Oa1e4XHJE%0qCoV-2faXlGXwhIHV z6*ItH}b&Nbcy&YXW?0lVk#2?L#g<;hHcmc3| zlm@~gm4z@EnUA%!{9W9Pf16}7+48q3ljm6)jWsu6*wy5BO}=$a-V`IViTo7H{^=CM zoch5OF*w8GaTOVMoz0CyzAe`(E!D9Ld_*y>*xW>N%eECeuk73Tc{O%*cXj;zT*CVp z$7P9^VF9W9uz=XuiyPiwSwIOm*;8>G{OtZq7Z5k0zr28y)VP(aX+xMic9MyBfpRMx z_s^aEmpygVj7JX}xR}FIiSEpHWgD)ixar9K{fDm5kLfn|Qvv^8S;lMJ_t%$K_di}<{GQj>mE9FH zjOm-uNIvEab5{;xGa5rAE8Yu9$-th5-K5>E*}X2;$f|OGrDV7r8rR5h<7>{1oNZEU z-xPlzX)AU!&ia68IB z`Xc#p7s`#DVH#G$D%=U@y&O6>?LuY#e2M?Y4f;#FPz);jrtb~63X5k%@q0J%tAYL1 z8^1^Q=Z#6W12>SA3_mJq2RHYtxYlxg9=47A_Wj-bVEp>5WXwfVno)!=&3UG-Zf?`< z+?F`~VbuQc>zDfwHhM~Ku>Q4Xl({dG@B4f6-z=>d?udf>3gy-!@z)mnJ>E3MY&Wjq z0`Lx_Z}w9=7vdlLPhi^_#;41!`0++l%(*_|(X(*xF3A8FEPG5Kb~nn z4bP9q@~7_nc&z@UyY-)RpZ+J^u`?6Yihm_h5&=mBBoUBAKoS8-1SAoVL_iV&NdzPj zkVHTdfqz{DxZDPx@XfV_&#A@yhf)leXO?DKGg@3uVw#Dm$uyJ6Mke#bISE}h+rs4} z9PNDVe4Kp0Cnp@))Ru>jtEUGe&-I6tt-3h(jR`OD^$hN__)H6*fvVNux?&=S)n8xS z%BSg>mY7!HhtG9{{`}t>M?Fi^X=WDeRSa$<+{a_XC+@#u`%Fx=HjSDeCHDU*zs`^5 zA7tmQ>79@&QD-wPDQq~P*&evq$kft|%@gsTj0qKSK87EPQ--l%{1|oi6%4TvFB|a_ z%4?Duxqw@0N+#TOAub&+zSJ^rvXOHa?sM9mKu2wkS6A9`gq&3fkT3VoCKt{<&QlnYPl9dt9~*b*I@v@P zx2%XMB2x=pY!e=rku|$Ntx#=UO2*6SkKWdygmm>=b*cD74jte$_-L=mB~&#{>*WpA z%k=cMC|jKi7wF-E5gQL}*iRN+y`reeTp-uWpNAcscbVuf{=E0h>`YSd^s;j2S-Iro z;Px$|H(w{~N58QTJW@uM>$iv=^}3ie2Hm;T{)vEkw&?u4<=k|-A*kK1t(Q`%reVhq zPufJ2{1>Uq!Y^i$o0%79C>Gx$a&ZnH%@wW_hv&;q+pj4l4bs)`tRGg8lymj60qv`a zo|fs>%oEi_6rlc0X?-P$GMes?^)8Fl+@I^?etZc%ws}oT>%m*8`-dsH#>tc{jyY?1 zAT*P7o_}GCr%x_fxyQdaqcNMDReVc2^rA#QBk5(qlVYM==3rC&>N@F{9#bQ=@fs;O z-F8_+z%}9%8*6YnTeUb`v>$M23{pI zrk^h~?Y^JRIpk~5{bd#n@gM45H6)Urc{56s@bU^ZZPQ*py7g76o3nN0OW7lI(B-$O zy+-Y&Ss#0yyYcBHJ+83!T*uLg^UQL-d04YP+w~yC%aN zn)~0RCnEGr7SAuBC(f!U9$TJIM;{3=sj)1kUmG@-?);cXZ^y2@88b72Y7V>jIbd2A zjcxgEq=u1@4%9Iin$i$WE?yj&xvAATV%w(mnW5WH5zj51pLOs^qTOVRbB&keQTthE z*98||rk6v>fRfmYbVKWAuQgqAX@}m+?N`2wBAL&}zdBZRiooXx=@`9U`WGLBk!dHU zC9XKLns$C9iu_hzK&G}j)URjIR#G`3%#9x+VV}{=WDc3u(b6hVL8>>7t%+ty_SxfUZ9Z`@tn#|Xcb_e z@q`+!a8TIX_F>a>j|x$W%G_N|4WG6@G1BY-tzV&Z+dr*}W?zb0nYgHeZkTXYBPpqd zhEF@W+-UJLIw#ET_zBxO>bm}HRXb4yy|&Nzc;$yXbZLY|k85#dw1sSG&x{Whw0B6y z{hs=xACrx73+c@)0tW$UR*bLMSZjUoV@3~rWv*Y7avS~Lp!VO@s+y%iq4*5 z*;ek@Q|h#R@1?MJPw0^&W?x_Kd_r&8x|w|mct#iLwRv$kxt88aeDpO@SWRO)U2C+l zt)%t?)7$9ndqNM*?6jhr)Ejzj`C*qirtfH2^S1WecD|#N)4IHK*L+Q%Z?|qeZOlt* z5OuR;X~%kc!%zKq-HKQA-ngWQb-~Z+i?v>hr@W}6S5>o}XWgi!uhuWRH{eMvJ>P77 z+FFel)Z_Tn4I2X9(qZYxqjrS7qod~MY+Aw0$UZuvzG^SYd!1<4_sDgY+ zsZR3`RQas^{?JkH>3fI5E(vQs(2Z{_`}yp8Pq&_vdw9?B4IO-L#Gxb7uj$%ZkxTAu zd`%A%j}MJ(T&G32?B8kelJ<$J%ITZ+g7$mS>XWDKa|&O34XY(`5s<_|vL5_r*Mm%_ zhqLmI=8$9W#>|nvevu3tAILnve4Rx58VD$pLI+KI&^`X#ZQ6Ep|K%AO6|~qyx9vDm z(DXfAbwIb+Oz9A9AA01VWnDb!Z1rUM=vj$GH{+=ItbIWO&)3x%-YjI&Uo zZ*}^VY&7v(Qd*U3m_ULL-cjf%xIiY3IAc9!Wic@h^Xajze+kjclRiE9c^2vNEL`q@ ze*tB}cFlJBe20EZ9p{l+T|ytLCi?LBT z-&?n=SqX8~?XWJJ7Ln)OdagTLlSP&}uYWq;?gDk5V&PC&SxU{6!>)U|-k_t^0>)Pu zCDFTu>iK&cQt8$Q&F3takEGu|f0ZlGJVkDlF(XypTq7g0+nXlM&&Ifi(7KuR$-25F zbaB6|yK-Ic&{GpqKkwEkryFa0JDqa6OWz19gW6i&rW%u$w$15MO1lRSpP^kQpnc{{ zocH*dfDG%TaN)}6!lv^9&*p&fAXBqh3~u*0n)I&s3&_-T1}=uYJ&egh_z)2BHj23D}g zV=v;K#kjA!NiQUL?$2<^r=p8vx=QVerSA`Qy>0z|G#OVi?VbO#JkoPm!I`vnxg=Hi zxm}z?44tjmV|*x+Ob>WjpAvMqN$LDWgItp&4#KYAW5)Nz$l{n$x;7Nont0!rCb5qKvuwpQ2@;|OwY~S}};W#TcUn9#+ zM{9Oc95tL4v#^aqQ`Kcli>2-P0I?OgKG5GAV7M9NYX5$D22bp}oo8xkX~OW?DJeE- zB+V@!-(3gfxwvr69h3M_cqREOiGU;mk_bp5Ac=q^0+I+wA|Q!?Bm$BMNFwmREdu|U zoJ<~G@oxzg2Y-W`byO}ckNAFKJr2+2&2Vw@cTw?WBr;Cy-8y`Y2sccg%FEk7rUM9p zcQ&O1*gA~Azvn&QVbW8A-9XySXsrB+^)&;&ZY^(^P@%9^fDn?(0TFB+uhGZ%JHPHYrj6K%>|^w zH80^no`|TqMKllJ7EgW~cx7idd-meOaX&}zN3le!ev@*f^I6iO#Uv|*j9Bv7-Xvi0 zsyL$k)$#h{FaeSK>b2u`WE^qT?%!q9R3T9nTK7%tCL$Ndn$K$3C2YD_@hL6$yxmO! zfno^(Svb0R)uM$0GW}*w5osMm258J*6m&m^eDUaEd~AO#xwqhAa^R_0QZs9DtBSq? z65MvFuYtROKoNx2=>xiU5mo5{Pw5*E`l;B2u}@ z{rIkp0={U7FUBDghNizxdLd|9{tkOp>=N+B9YiVNs_f{Ki9|th zvV~fO2rrfhNTj;nco&Pfrsc}7KQhLBqnQ~ZvODd=fVsotN$cxN-i>gICttmK8YU!( zNY61Ryy`ULNsH$5pRb=9PgZW<;ojFrL}slqS-tp!h;$8DG}u*JLZ%4&YkD6`nMzkMJWkQ>q~`aqNK>zA&Jj7?9@&uB2aW9Y+BDZ zo6L6$nkgVqBqAWr@~51YmnV=NOw2@|JR#w?BQM1+Pr3&PNca7{QVSggWYr1NkDE>i z2wsFB5A_RsT^}DyKE&U2Jg0G%WO#`Iu^37PSv+m`WfLnjK! z{E4%+wtE&!K4y#hezFsgDAUV(mD0bDcZcl3SVb!#Ii(}*X4FAM{KIVa*LM^)Z6|W} zMWLVC3&<69&8$(>&Pmd?r zD|#oED+tNQ#M1c%W(?Kk=TXY&avtwJ9PiF?h)1KYLZNsi)+ z`-j8XVyzDy8n4`pCvB?7bdypPk<;dBA0o{JWZ7zA^uv*HC^T)2ve*21DzTzUc1X4b=b${J`3FM|<*V$8D5{b#@IexRhCXnYM z`-&8!M3R5KePD9GBr@p^IbD_%kH-^|;s`hhki%$ljTC-6o zu{k8P-IGrvrzMl%0}i(@JxOfZPilDuwK}`>9BDOi)8760DP%;6b!19R8aaRXoWdO4 zRB|fiW%2dh=g3F>+zU1rk_i9(J~uUZzNK|4ITR`C^Qk7CSRPvTY_>3gw4UKGE3Yb< zJn@%toI5Rrd>CBY*e~WB8M&yXcH66&q}nif{lZhbqM z6m7S2JihN7@ilQSlqx?*()6DCS};jX-`DWHm_za{JFL$hkwu!%x~Fg9noc(MNm=W^ zB7=m;wH)4JWC|JB@9FT#BeRKtzg?e*D>!I=b6KBaL_uiX9z(I)$wN@SF3c;YlRF;?;yFhKVHJQmslq^&Bz3V)yXWkpyC7 zdv2@EV2a0=*@Q2iX!Gg)S&Ode#C*KZI$5bSaLpvgN;#XPUyW#Xx@Rhx)o8rdr6!qtld4d=kT~Wopj8K>Z<)Mi&Xd= z3rNbML{opj-l>6UWV=kL=;JU-a!1bjJn0c_njV$?eO=}H<`N^jAt^~J*+f;>Xshv| zbEK>PLhTuCGl;RTr)ui_G;(Etob_JgG;&AyTJ~f2Y~myAr@PW)o)jnE9VZWi@qQ->%*!z9f@; zb{SUHLLn2s|1+^jq(VwchugmY^-mAsFW`5^2R`s;?EDjc{%y|>`MXwbaOdqmrUbYL zSNzz{J+R`JQv??0e>3A#1hUN2+3YyjCI|TS(J{={XR`u+Ou(e$Ek*oeH2>W{I41)GxEzoTkXr>GH9tkQLfaUmz+?cV@9>f-6aE;@5&=8*^s)o-2 zmEkHL*rpPn&zX+T*9@_N?!K6+u$>F->ULnY1DNFu9(D!&xN-)zvBK&F1H4zG;}Yop zb{SZ_0*qM&?p*`gtOwOLf(=1n$yQLX1KhR?^xX?u;8T1x4??^A5wJQ8EII}Tp8&0* zK&@y{DHg01fVuHtOcEHB0y?IHhMAyR4k&X0EXe~S3&Ay)LEB3{=3Yw{dy?cR7U$9&Q3>plY4+S-JK$#I>x&atD23#`^v^4?s z%s`ci;Fn2Ykp+0z67-u6YT1HH^T4-uV6h_@v=DT32hF`eWgk%B2X0#lx&(m6Yr*Qx zVAeM9@J?{UZcr%%tUU3NU(q6a?Dt6ntthV?y%{8Pq}l8ScyG= z;3_r$;U?2=Y)@_gN4w=e-(#w!^SgUY{|C2VDzQb9+_U!o`KPe|JndXNe{-!B``X`c z?phXcgU4139&0fBv3mlF-@(i)Y*)sS4?*!ehQaR$CJ4LZzLu%Rc4^#3dZ4&3W9DM} zDl`mDLCethXnQ=m9EMIq7o$7TShNUzhAQASnZBqA>VU38!_iE%0{wz^!Fu13s13Rd z-GhqIVzeG@iO;jsL?@!IXb^f5y?|Du;-|^6%cMK^R5`XGs4cnz4MmgDQuH0#4zGe~ zqf=22bUPZ27NWJNTnqU8zNj(kfUZTu(M znxPBOKr|A~L90;q_hZCOHWiF50ydx zPoWpkYV<4Gy(7GDG-`{kL_^VJ^cMOKRl$>8ZFDN?g>FY<&_eVHDu<6^?2DS94(K{G z9L+>4&`)TmE-)V>(CMfzx(5}Z#b`a+62DM1(TV5+bR!yxo=2-trYn4Yca)&E=n6Cx zO-4)5H)tE~J6Y2FX#|>X?h$Vv+^@jg!(n-Up)h6v?OGi%tFs?4{m zcKFT5wo01+XavN|UltD#*?b&3F&)^a$zTJ^77yDPTzvdd7%px+m|}4Cz+)o@7kkr! zhBXF{SQuQ{_yZ7JUGR8>IcFDUtZEiNKGk_Y{Bl4F2TuuRZ&+W=Fm~US{}@ zpZE_?xK8J8Yx^t9(fE~>moG=dQ>vzNG`^ir_Vew0vY&7N`3cuEJ$}Dj=7iX(o0=Jq zWB6Yk<$CK|3)r7D<2Mv3H%!{G-T1BL`!Cb|$#2sA@h_rD$?%)%kB`HWlHs@5-`$WY zCBp|n#)*A+7C&cFGW6ucubsfd7*lpJb*b5%`-#0Mk3nN}QfhG#SNf zyUaUmSHXO-7CHsRYmdx2Y%f6ZS{x&b2PeHzyhg_0H7&*yyW_PZhGP3&^b^_(N%2H(rPap{LMfR0{LN-O&pu=#-G6nTOx1k5nT2v16#(aKx1GXPQ zDO!$p!o2Ya)C&Ex{Bj%2AJ0HN(N*Yiv<>Eqd!hT#GiU)?i^^kuxEDGWosR~fN6>Wi z4*C&Q#XPYtYK?lMyU;lF3R;IMVt#l4YKAUA1JOwIJbEAfhN@wncoaGl^+OM!iD(J> z8f}AlVlC7hU4(8%qtJ`!BUGjm_7{*u?Br@K#SR+-dym@d@#!aJnRhmxq?=1pq3}t(Hng03l=W} zV^)Act3a zo&|FSV0b(jlmt4afQIRyS|-?#4OZrYf;@0dA!vIU)GG#6Zh$Xuf@Ni3!d)=90(7ea z&8k7I8u0BCFu4xgTMv4@2F>4r8V#WGXRz)on2*J6kyzZe28-KVu((YVi`!ndf&;B0 zEN+X!1GEiT+%_MJ+sv@Itv438F<9JI-Ur?vqyZ*lahnDfx5?;0_exzbAB)@8U~!u* z7Psk{;QLKMM{}?Yi`$~GxXllX+YGItzY-R=)y{?XVk~ZR#NxJaELxmes5j>T;{Slnia#cgU>+}02c z!`ESPn?@qE+hTE>Iu^HmNr&z-8K55)T=?ZfyA~F=1(!g3F&4M^V{w}o7Pt9hahuE| z7%smCG<*hny#*VvxNRF2w<(JYUKqxr8SeP7xGfhC#C@^2Eny(^x8Z)8k8O&uxGf5c z+k&yU%>WBRI^u!*TN4<*7>nCtu(&MZ*f+qql zSlnie#ck?X-1fyChA+e7wk#}eJB-C`epuXQg~e@JSlreTi`&XK!283oxXmAn+ibA7 zO$UqHl(D$2VIK@%g2inDEN xr.Dataset: da = da.rename(new_dims) data_vars.append(da) - return xr.merge(data_vars).assign_attrs(source="GLS unit test") + return xr.merge(data_vars, compat="override").assign_attrs(source="GLS unit test") def lambda_source(func): From 9683a369d6c636bba9b0f665ec8da45d3be8a652 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 24 Apr 2025 12:54:23 +0200 Subject: [PATCH 33/37] ci: add doc generation --- .gitlab-ci.yml | 18 +++++++++++++++++- 1 file changed, 17 insertions(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index f45f1b6..af8e976 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -10,6 +10,7 @@ workflow: stages: - init - quality + - documentation # Default configuration for all jobs default: @@ -114,4 +115,19 @@ mccabe_analysis: script: - source activate lenapy_env - pip install .[quality] - - ./continuous_integration/scripts/check_mccabe_complexity.sh 25 lenapy + - ./continuous_integration/scripts/check_mccabe_complexity.sh 25 lenapy lenapy/readers/ocean.py lenapy/plots/plotting.py + +build_doc: + stage: documentation + image: ${ARTIFACTORY_HOST}/${TAG_IMAGE_CONDA} + before_script: + - source activate lenapy_env + - pip install .[doc] + script: + - conda install pandoc + - sphinx-build -b html doc doc/build + artifacts: + when: always + paths: + - doc/build + expire_in: 1 day From da1767dfc40697c0692ff3a710e456a92f364a16 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Thu, 24 Apr 2025 14:54:27 +0200 Subject: [PATCH 34/37] test: allclose instead of equal --- tests/test_lngeo.py | 2 +- tests/test_lntime.py | 10 +++++----- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/tests/test_lngeo.py b/tests/test_lngeo.py index 44e24e2..7163dec 100644 --- a/tests/test_lngeo.py +++ b/tests/test_lngeo.py @@ -98,7 +98,7 @@ def test_distance(overwrite_references, lenapy_paths, air_temperature_data): if overwrite_references: results.to_netcdf(ref_file) ref_distance = xr.open_dataarray(ref_file) - xr.testing.assert_equal(ref_distance, results) + xr.testing.assert_allclose(ref_distance, results) def test_isosurface(overwrite_references, lenapy_paths, ohc_data): diff --git a/tests/test_lntime.py b/tests/test_lntime.py index 37c137c..aa478a7 100644 --- a/tests/test_lntime.py +++ b/tests/test_lntime.py @@ -12,7 +12,7 @@ def test_lntime_climato(overwrite_references, lenapy_paths): if overwrite_references: result.to_netcdf(ref_file) ref_climato = xr.open_dataarray(ref_file) - xr.testing.assert_equal(ref_climato, result) + xr.testing.assert_allclose(ref_climato, result) def test_lntime_filter(overwrite_references, lenapy_paths): @@ -22,7 +22,7 @@ def test_lntime_filter(overwrite_references, lenapy_paths): if overwrite_references: result.to_netcdf(ref_file) ref_filter = xr.open_dataarray(ref_file) - xr.testing.assert_equal(ref_filter, result) + xr.testing.assert_allclose(ref_filter, result) def test_lntime_interp_time(overwrite_references, lenapy_paths): @@ -86,7 +86,7 @@ def test_lntime_trend(overwrite_references, lenapy_paths): if overwrite_references: result.to_netcdf(ref_file) ref_trend = xr.open_dataarray(ref_file) - xr.testing.assert_equal(ref_trend, result) + xr.testing.assert_allclose(ref_trend, result) def test_lntime_detrend(overwrite_references, lenapy_paths): @@ -96,7 +96,7 @@ def test_lntime_detrend(overwrite_references, lenapy_paths): if overwrite_references: result.to_netcdf(ref_file) ref_detrend = xr.open_dataarray(ref_file) - xr.testing.assert_equal(ref_detrend, result) + xr.testing.assert_allclose(ref_detrend, result) def test_lntime_fill_time(overwrite_references, lenapy_paths): @@ -139,4 +139,4 @@ def test_lntime_gls(overwrite_references, lenapy_paths): if overwrite_references: data.to_netcdf(ref_file) ref_gls = xr.open_dataset(ref_file) - xr.testing.assert_equal(ref_gls, data) + xr.testing.assert_allclose(ref_gls, data) From cf5b1059a386f5bf6db7ff1ca0509996bcf8843a Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Fri, 25 Apr 2025 08:51:49 +0200 Subject: [PATCH 35/37] ci: 2 days artifact --- .gitlab-ci.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml index af8e976..66e017d 100644 --- a/.gitlab-ci.yml +++ b/.gitlab-ci.yml @@ -130,4 +130,4 @@ build_doc: when: always paths: - doc/build - expire_in: 1 day + expire_in: 2 day From 1535ab3b77c9ede0c9aac364e5ec801aa8d49130 Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Tue, 29 Apr 2025 16:03:17 +0200 Subject: [PATCH 36/37] doc: update doc --- doc/api.rst | 25 ------------------------- doc/conf.py | 2 ++ doc/index.rst | 2 +- lenapy/__init__.py | 15 --------------- lenapy/readers/__init__.py | 13 ------------- lenapy/utils/__init__.py | 12 ------------ lenapy/writers/__init__.py | 11 ----------- pyproject.toml | 1 + 8 files changed, 4 insertions(+), 77 deletions(-) delete mode 100644 doc/api.rst diff --git a/doc/api.rst b/doc/api.rst deleted file mode 100644 index 3c07436..0000000 --- a/doc/api.rst +++ /dev/null @@ -1,25 +0,0 @@ -========== -LENAPY API -========== - -.. automodule:: lenapy - :show-inheritance: - -.. automodule:: lenapy.readers - :show-inheritance: - -.. automodule:: lenapy.utils - :show-inheritance: - -.. automodule:: lenapy.writers - :show-inheritance: - -Lenapy constants -^^^^^^^^^^^^^^^^ - -.. automodule:: lenapy.constants - :noindex: - -.. raw:: latex - - \clearpage diff --git a/doc/conf.py b/doc/conf.py index 4a7aecb..4893cce 100644 --- a/doc/conf.py +++ b/doc/conf.py @@ -32,6 +32,7 @@ "sphinx.ext.autodoc", "sphinx.ext.viewcode", "sphinx.ext.autosummary", + "sphinx_autodoc_typehints", "sphinx.ext.intersphinx", "sphinx.ext.napoleon", "sphinx_mdinclude", @@ -94,3 +95,4 @@ # See also: # https://www.sphinx-doc.org/en/master/usage/extensions/intersphinx.html#confval-intersphinx_disabled_reftypes intersphinx_disabled_reftypes = ["*"] +templates_path = [".templates"] diff --git a/doc/index.rst b/doc/index.rst index 6cea6b7..367aec7 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -23,7 +23,7 @@ Reading interfaces are implemented, enabling netcdf files to be opened with a co changelog gettingStarted - api + lenapy API Reference tutorials diff --git a/lenapy/__init__.py b/lenapy/__init__.py index 1fa987f..bdb4cfe 100644 --- a/lenapy/__init__.py +++ b/lenapy/__init__.py @@ -1,18 +1,3 @@ -""" - -Modules -^^^^^^^ -Accessor modules - -.. autosummary:: - :toctree: - - lenapy_geo - lenapy_time - lenapy_ocean - lenapy_harmo -""" - import warnings from lenapy import constants, lenapy_geo, lenapy_harmo, lenapy_time diff --git a/lenapy/readers/__init__.py b/lenapy/readers/__init__.py index 4e64982..e69de29 100644 --- a/lenapy/readers/__init__.py +++ b/lenapy/readers/__init__.py @@ -1,13 +0,0 @@ -""" -Readers -^^^^^^^ -Reader modules : define specific engines for the xarray.open_dataset() method - -.. autosummary:: - :toctree: - - geo_reader - ocean - gravi_reader - -""" diff --git a/lenapy/utils/__init__.py b/lenapy/utils/__init__.py index c4a5218..e69de29 100644 --- a/lenapy/utils/__init__.py +++ b/lenapy/utils/__init__.py @@ -1,12 +0,0 @@ -""" -Utils -^^^^^ -Utils modules - -.. autosummary:: - :toctree: - - harmo - gravity - -""" diff --git a/lenapy/writers/__init__.py b/lenapy/writers/__init__.py index 1c3a9d6..e69de29 100644 --- a/lenapy/writers/__init__.py +++ b/lenapy/writers/__init__.py @@ -1,11 +0,0 @@ -""" -Writers -^^^^^^^ -Writer modules : define writers - -.. autosummary:: - :toctree: - - gravi_writer - -""" diff --git a/pyproject.toml b/pyproject.toml index b9ae6a7..4ff4496 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -72,6 +72,7 @@ doc = [ "sphinx", "sphinx-rtd-theme", "sphinx-mdinclude", + "sphinx-autodoc-typehints", "nbsphinx", ] notebook = [ From 9695e3a7c8381094cb36a055eefc4045e3076e8f Mon Sep 17 00:00:00 2001 From: Arthur VINCENT Date: Tue, 29 Apr 2025 16:12:21 +0200 Subject: [PATCH 37/37] doc: update doc --- doc/.templates/autosummary/module.rst | 8 ++++++++ doc/api/index.rst | 2 ++ doc/api/lenapy.plots.rst | 8 ++++++++ doc/api/lenapy.readers.rst | 9 +++++++++ doc/api/lenapy.rst | 22 ++++++++++++++++++++++ doc/api/lenapy.utils.rst | 14 ++++++++++++++ doc/api/lenapy.writers.rst | 7 +++++++ doc/api/lenapy_content.rst | 7 +++++++ 8 files changed, 77 insertions(+) create mode 100644 doc/.templates/autosummary/module.rst create mode 100644 doc/api/index.rst create mode 100644 doc/api/lenapy.plots.rst create mode 100644 doc/api/lenapy.readers.rst create mode 100644 doc/api/lenapy.rst create mode 100644 doc/api/lenapy.utils.rst create mode 100644 doc/api/lenapy.writers.rst create mode 100644 doc/api/lenapy_content.rst diff --git a/doc/.templates/autosummary/module.rst b/doc/.templates/autosummary/module.rst new file mode 100644 index 0000000..244d08c --- /dev/null +++ b/doc/.templates/autosummary/module.rst @@ -0,0 +1,8 @@ +{{ fullname }} +{{ underline }} + + +.. automodule:: {{ fullname }} + :members: + :undoc-members: + :show-inheritance: diff --git a/doc/api/index.rst b/doc/api/index.rst new file mode 100644 index 0000000..d07a20f --- /dev/null +++ b/doc/api/index.rst @@ -0,0 +1,2 @@ +.. toctree:: + lenapy diff --git a/doc/api/lenapy.plots.rst b/doc/api/lenapy.plots.rst new file mode 100644 index 0000000..acac283 --- /dev/null +++ b/doc/api/lenapy.plots.rst @@ -0,0 +1,8 @@ +lenapy.plots +############ + +.. autosummary:: + :toctree: + + lenapy.plots.plot_trend + lenapy.plots.plotting diff --git a/doc/api/lenapy.readers.rst b/doc/api/lenapy.readers.rst new file mode 100644 index 0000000..99fbdd6 --- /dev/null +++ b/doc/api/lenapy.readers.rst @@ -0,0 +1,9 @@ +lenapy.readers +############## + +.. autosummary:: + :toctree: + + lenapy.readers.geo_reader + lenapy.readers.ocean + lenapy.readers.gravi_reader diff --git a/doc/api/lenapy.rst b/doc/api/lenapy.rst new file mode 100644 index 0000000..dd23881 --- /dev/null +++ b/doc/api/lenapy.rst @@ -0,0 +1,22 @@ +lenapy package +============== + +Submodules +---------- + +.. toctree:: + :maxdepth: 2 + + lenapy.plots + lenapy.readers + lenapy.utils + lenapy.writers + + +Module contents +--------------- + +.. toctree:: + :maxdepth: 2 + + lenapy_content diff --git a/doc/api/lenapy.utils.rst b/doc/api/lenapy.utils.rst new file mode 100644 index 0000000..4dce94c --- /dev/null +++ b/doc/api/lenapy.utils.rst @@ -0,0 +1,14 @@ +lenapy.utils +############ + +.. autosummary:: + :toctree: + + lenapy.utils.climato + lenapy.utils.covariance + lenapy.utils.eof + lenapy.utils.filters + lenapy.utils.geo + lenapy.utils.gravity + lenapy.utils.harmo + lenapy.utils.time diff --git a/doc/api/lenapy.writers.rst b/doc/api/lenapy.writers.rst new file mode 100644 index 0000000..d336185 --- /dev/null +++ b/doc/api/lenapy.writers.rst @@ -0,0 +1,7 @@ +lenapy.writers +############## + +.. autosummary:: + :toctree: + + lenapy.writers.gravi_writer diff --git a/doc/api/lenapy_content.rst b/doc/api/lenapy_content.rst new file mode 100644 index 0000000..740cabe --- /dev/null +++ b/doc/api/lenapy_content.rst @@ -0,0 +1,7 @@ +.. autosummary:: + :toctree: + + lenapy.lenapy_geo + lenapy.lenapy_time + lenapy.lenapy_ocean + lenapy.lenapy_harmo