From d9d9ed07af713720a656194a73e6ce49b00d1cd7 Mon Sep 17 00:00:00 2001 From: frank-zsy Date: Sat, 2 Dec 2023 16:50:25 +0800 Subject: [PATCH] feat: add platform to events table Signed-off-by: frank-zsy --- docs/assets/data_description.csv | 1 + .../application_software/index.yml | 7309 ++++++---- .../libraries_and_frameworks/index.yml | 9415 ++++++++----- .../application_domain/non_software/index.yml | 6958 ++++++---- .../software_tools/index.yml | 5671 +++++--- .../system_software/index.yml | 682 +- labeled_data/bot/index.yml | 1894 ++- .../ecnu-oss101-2023-spring/index.yml | 266 +- labeled_data/communities/mulan/index.yml | 29 +- labeled_data/communities/openmmlab/index.yml | 8 +- labeled_data/communities/xlab/hypertrons.yml | 8 +- labeled_data/communities/xlab/index.yml | 144 +- labeled_data/communities/xlab/open_digger.yml | 8 +- labeled_data/communities/xlab/open_galaxy.yml | 11 +- labeled_data/companies/360/index.yml | 23 +- labeled_data/companies/acquia/index.yml | 11 +- labeled_data/companies/adobe/index.yml | 54 +- labeled_data/companies/alfresco/index.yml | 8 +- labeled_data/companies/alibaba/dubbo.yml | 94 +- labeled_data/companies/alibaba/flink.yml | 49 +- labeled_data/companies/alibaba/index.yml | 183 +- labeled_data/companies/alibaba/nacos.yml | 13 +- .../companies/alibaba/open_messaging.yml | 8 +- labeled_data/companies/alibaba/opensumi.yml | 8 +- labeled_data/companies/alibaba/rocketmq.yml | 47 +- labeled_data/companies/alibaba/seata.yml | 8 +- labeled_data/companies/alibaba/weex.yml | 26 +- labeled_data/companies/alluxio/index.yml | 8 +- labeled_data/companies/amazon/aws_amplify.yml | 8 +- labeled_data/companies/amazon/aws_cdk.yml | 8 +- .../amazon/aws_distro_for_opentelemetry.yml | 8 +- .../amazon/babelfish_for_postgresql.yml | 8 +- .../companies/amazon/bottlerocket.yml | 8 +- labeled_data/companies/amazon/eks_distro.yml | 8 +- labeled_data/companies/amazon/firecracker.yml | 8 +- labeled_data/companies/amazon/freertos.yml | 8 +- labeled_data/companies/amazon/index.yml | 79 +- labeled_data/companies/amazon/opensearch.yml | 8 +- labeled_data/companies/anaconda/index.yml | 11 +- labeled_data/companies/antgroup/antchain.yml | 11 +- labeled_data/companies/antgroup/antd.yml | 8 +- labeled_data/companies/antgroup/egg.yml | 8 +- labeled_data/companies/antgroup/index.yml | 61 +- .../companies/antgroup/kata_container.yml | 8 +- labeled_data/companies/antgroup/macaca.yml | 16 +- labeled_data/companies/antgroup/oceanbase.yml | 8 +- labeled_data/companies/antgroup/sofastack.yml | 8 +- labeled_data/companies/api7/index.yml | 8 +- labeled_data/companies/artelnics/index.yml | 8 +- labeled_data/companies/baidu/brpc.yml | 8 +- labeled_data/companies/baidu/echarts.yml | 8 +- labeled_data/companies/baidu/index.yml | 46 +- labeled_data/companies/baidu/paddle.yml | 13 +- labeled_data/companies/bilibili/index.yml | 8 +- labeled_data/companies/blue_spire/index.yml | 8 +- labeled_data/companies/bytebase/index.yml | 8 +- .../companies/bytedance/cloudwego.yml | 8 +- labeled_data/companies/bytedance/index.yml | 61 +- labeled_data/companies/chatopera/index.yml | 8 +- labeled_data/companies/cloudbees/index.yml | 8 +- labeled_data/companies/cloudera/index.yml | 13 +- labeled_data/companies/cloudwise/index.yml | 8 +- labeled_data/companies/confluent/index.yml | 8 +- labeled_data/companies/coss.yml | 4 +- labeled_data/companies/couchbase/index.yml | 8 +- labeled_data/companies/ctrip/index.yml | 8 +- labeled_data/companies/databricks/index.yml | 19 +- labeled_data/companies/datacanvas/index.yml | 8 +- labeled_data/companies/datafuse/index.yml | 8 +- labeled_data/companies/dcloud/index.yml | 8 +- labeled_data/companies/deepin/index.yml | 8 +- labeled_data/companies/deepmind/index.yml | 8 +- labeled_data/companies/deno/index.yml | 8 +- labeled_data/companies/didi/index.yml | 8 +- labeled_data/companies/docker/index.yml | 11 +- labeled_data/companies/douban/index.yml | 8 +- labeled_data/companies/easycorp/index.yml | 8 +- labeled_data/companies/elastic/index.yml | 8 +- labeled_data/companies/emq/index.yml | 11 +- labeled_data/companies/enterprisedb/index.yml | 8 +- labeled_data/companies/espressif/index.yml | 8 +- labeled_data/companies/explosionai/index.yml | 8 +- labeled_data/companies/fastly/index.yml | 8 +- labeled_data/companies/fit2cloud/index.yml | 23 +- labeled_data/companies/fmsoft/index.yml | 13 +- labeled_data/companies/forgerock/index.yml | 8 +- labeled_data/companies/fuzhi/index.yml | 8 +- labeled_data/companies/gaas/index.yml | 8 +- .../companies/galaxy_future/index.yml | 8 +- labeled_data/companies/goodrain/index.yml | 8 +- labeled_data/companies/google/index.yml | 55 +- labeled_data/companies/greatdb/index.yml | 9 + labeled_data/companies/guojusoft/index.yml | 8 +- labeled_data/companies/h2oai/index.yml | 8 +- labeled_data/companies/hashicorp/index.yml | 8 +- labeled_data/companies/huawei/index.yml | 50 +- .../companies/huawei/service_comb.yml | 14 +- labeled_data/companies/ibm/index.yml | 44 +- labeled_data/companies/instructure/index.yml | 8 +- labeled_data/companies/intel/index.yml | 17 +- labeled_data/companies/iqiyi/index.yml | 8 +- labeled_data/companies/jd/index.yml | 17 +- labeled_data/companies/jetbrains/index.yml | 8 +- labeled_data/companies/jfrog/index.yml | 8 +- labeled_data/companies/jina_ai/index.yml | 8 +- labeled_data/companies/juejin/index.yml | 8 +- labeled_data/companies/juicedata/index.yml | 8 +- labeled_data/companies/kaltura/index.yml | 8 +- labeled_data/companies/koderover/index.yml | 8 +- labeled_data/companies/kyligence/index.yml | 8 +- labeled_data/companies/liferay/index.yml | 8 +- labeled_data/companies/linux_china/index.yml | 8 +- labeled_data/companies/longboat/index.yml | 8 +- labeled_data/companies/magento/index.yml | 8 +- labeled_data/companies/mapbox/index.yml | 8 +- .../companies/matrix_origin/index.yml | 8 +- labeled_data/companies/megvii/index.yml | 8 +- labeled_data/companies/meituan/index.yml | 14 +- labeled_data/companies/merico/index.yml | 11 +- labeled_data/companies/meta/index.yml | 26 +- labeled_data/companies/microsoft/index.yml | 23 +- labeled_data/companies/mongodb/index.yml | 8 +- labeled_data/companies/mozilla/index.yml | 11 +- labeled_data/companies/mulesoft/index.yml | 8 +- labeled_data/companies/mycroftai/index.yml | 8 +- labeled_data/companies/neo4j/index.yml | 14 +- labeled_data/companies/netease/index.yml | 17 +- labeled_data/companies/netflix/index.yml | 25 +- labeled_data/companies/netlify/index.yml | 11 +- labeled_data/companies/nicira/index.yml | 8 +- labeled_data/companies/nvidia/index.yml | 14 +- labeled_data/companies/odoo/index.yml | 8 +- labeled_data/companies/oneflow/index.yml | 8 +- labeled_data/companies/openai/index.yml | 8 +- labeled_data/companies/openresty/index.yml | 8 +- labeled_data/companies/oracle/index.yml | 32 +- labeled_data/companies/oushu/index.yml | 8 +- labeled_data/companies/paypal/index.yml | 14 +- labeled_data/companies/pentaho/index.yml | 8 +- labeled_data/companies/pingcap/index.yml | 11 +- labeled_data/companies/pivotal/index.yml | 8 +- labeled_data/companies/postman/index.yml | 8 +- labeled_data/companies/primihub/index.yml | 8 +- labeled_data/companies/puppet_labs/index.yml | 8 +- labeled_data/companies/qingcloud/index.yml | 29 +- labeled_data/companies/qunar/index.yml | 8 +- labeled_data/companies/rapid7/index.yml | 8 +- labeled_data/companies/rare/index.yml | 8 +- labeled_data/companies/redhat/index.yml | 8 +- labeled_data/companies/redis/index.yml | 8 +- labeled_data/companies/rtthread/index.yml | 8 +- labeled_data/companies/salesforce/index.yml | 22 +- labeled_data/companies/samsung/index.yml | 8 +- labeled_data/companies/segment/index.yml | 8 +- labeled_data/companies/sequoiadb/index.yml | 8 +- labeled_data/companies/sourcefire/index.yml | 8 +- labeled_data/companies/sphereex/index.yml | 8 +- labeled_data/companies/starrocks/index.yml | 8 +- labeled_data/companies/stoneatom/index.yml | 2 +- labeled_data/companies/stoneatom/stonedb.yml | 8 +- labeled_data/companies/streamnative/index.yml | 8 +- labeled_data/companies/taichi/index.yml | 8 +- labeled_data/companies/talend/index.yml | 8 +- labeled_data/companies/taos/index.yml | 8 +- labeled_data/companies/tencent/index.yml | 31 +- labeled_data/companies/terminus/index.yml | 8 +- labeled_data/companies/thinkphp/index.yml | 8 +- labeled_data/companies/timecho/index.yml | 8 +- .../companies/treasure_data/index.yml | 8 +- labeled_data/companies/twitter/index.yml | 20 +- labeled_data/companies/uber/index.yml | 14 +- labeled_data/companies/varnish/index.yml | 8 +- labeled_data/companies/vesoft/index.yml | 8 +- labeled_data/companies/vipshop/index.yml | 8 +- labeled_data/companies/vmware/index.yml | 34 +- labeled_data/companies/webank/index.yml | 16 +- labeled_data/companies/wordpress/index.yml | 8 +- labeled_data/companies/xiaomi/index.yml | 14 +- labeled_data/companies/youzan/index.yml | 8 +- labeled_data/companies/yunion/index.yml | 8 +- labeled_data/companies/zalando/index.yml | 11 +- labeled_data/companies/zilliz/index.yml | 8 +- labeled_data/companies/zstack/index.yml | 8 +- labeled_data/foundations/apache.yml | 8 +- .../foundations/linux_foundation/cncf.yml | 80 +- .../foundations/linux_foundation/index.yml | 157 +- labeled_data/foundations/openjs.yml | 128 +- labeled_data/projects/skywalking.yml | 94 +- labeled_data/regions/BE.yml | 2 +- labeled_data/regions/CN.yml | 570 +- labeled_data/regions/CZ.yml | 2 +- labeled_data/regions/DE.yml | 2 +- labeled_data/regions/ES.yml | 2 +- labeled_data/regions/GB.yml | 2 +- labeled_data/regions/IN.yml | 2 +- labeled_data/regions/KR.yml | 2 +- labeled_data/regions/SG.yml | 2 +- labeled_data/regions/TR.yml | 2 +- labeled_data/regions/US.yml | 2 +- .../ai/generative_ai/application/audio.yml | 71 +- .../ai/generative_ai/application/code.yml | 47 +- .../ai/generative_ai/application/image.yml | 35 +- .../ai/generative_ai/application/index.yml | 41 +- .../ai/generative_ai/application/other.yml | 14 +- .../ai/generative_ai/application/text.yml | 71 +- .../ai/generative_ai/application/video.yml | 11 +- .../technology/ai/generative_ai/index.yml | 109 +- .../ai/generative_ai/infrastructure/data.yml | 38 +- .../generative_ai/infrastructure/document.yml | 71 +- .../platform_and_environment.yml | 17 +- .../infrastructure/vector_database.yml | 75 +- .../model/framework_and_architecture.yml | 35 +- .../generative_ai/model/fundamental_model.yml | 29 +- .../ai/generative_ai/model/index.yml | 53 +- .../ai/generative_ai/model/variant_model.yml | 152 +- .../ai/generative_ai/tool/deployment_tool.yml | 17 +- .../ai/generative_ai/tool/develop_tool.yml | 56 +- .../ai/generative_ai/tool/index.yml | 53 +- .../generative_ai/tool/production_monitor.yml | 11 +- .../generative_ai/tool/prompt_engineering.yml | 29 +- labeled_data/technology/ai/index.yml | 424 +- .../ai/large_language_model/index.yml | 74 +- .../technology/big_data/analysis_engine.yml | 107 +- .../technology/big_data/data_development.yml | 17 +- .../technology/big_data/data_integration.yml | 35 +- .../technology/big_data/data_storage.yml | 50 +- labeled_data/technology/big_data/index.yml | 2 +- labeled_data/technology/big_data/others.yml | 32 +- .../technology/big_data/scheduler.yml | 41 +- .../technology/big_data/streaming.yml | 29 +- .../technology/big_data/visualization.yml | 77 +- labeled_data/technology/blockchain/index.yml | 128 +- ...application_definition_and_image_build.yml | 140 +- .../continuous_integration_and_delivery.yml | 107 +- .../database.yml | 134 +- .../app_definition_and_development/index.yml | 2 +- .../streaming_and_messaging.yml | 77 +- .../technology/cloud_native/index.yml | 2 +- .../chaos_engineering.yml | 23 +- .../continuous_optimization.yml | 17 +- .../observability_and_analysis/index.yml | 2 +- .../observability_and_analysis/logging.yml | 23 +- .../observability_and_analysis/monitoring.yml | 122 +- .../observability_and_analysis/tracing.yml | 41 +- .../api_gateway.yml | 62 +- .../coordination_and_service_discovery.yml | 26 +- .../orchestration_and_management/index.yml | 2 +- .../remote_procedure_call.yml | 35 +- .../scheduling_and_orchestration.yml | 65 +- .../service_mesh.yml | 50 +- .../service_proxy.yml | 56 +- .../certified_kubernetes_distribution.yml | 95 +- .../platform/certified_kubernetes_hosted.yml | 14 +- .../certified_kubernetes_installer.yml | 65 +- .../cloud_native/platform/index.yml | 2 +- .../platform/paas_and_container_service.yml | 38 +- .../automation_and_configuration.yml | 113 +- .../provisioning/container_registry.yml | 26 +- .../cloud_native/provisioning/index.yml | 2 +- .../provisioning/key_management.yml | 50 +- .../provisioning/security_and_compliance.yml | 143 +- .../runtime/cloud_native_network.yml | 62 +- .../runtime/cloud_native_storage.yml | 80 +- .../runtime/container_runtime.yml | 47 +- .../technology/cloud_native/runtime/index.yml | 2 +- .../cloud_native/serverless/framework.yml | 50 +- .../serverless/hosted_platform.yml | 8 +- .../cloud_native/serverless/index.yml | 2 +- .../serverless/installable_platform.yml | 50 +- .../cloud_native/serverless/tools.yml | 20 +- .../technology/cloud_native/wasm/index.yml | 2 +- .../wasm/installable_platform.yml | 14 +- ...ng_registries_and_application_delivery.yml | 8 +- .../technology/cloud_native/wasm/runtime.yml | 32 +- .../cloud_native/wasm/specifications.yml | 17 +- .../cloud_native/wasm/toolchain.yml | 23 +- labeled_data/technology/database/array.yml | 32 +- labeled_data/technology/database/content.yml | 11 +- labeled_data/technology/database/document.yml | 368 +- labeled_data/technology/database/event.yml | 11 +- labeled_data/technology/database/graph.yml | 137 +- .../technology/database/hierarchical.yml | 11 +- labeled_data/technology/database/index.yml | 2 +- .../technology/database/key_value.yml | 506 +- .../technology/database/multivalue.yml | 20 +- .../technology/database/native_xml.yml | 14 +- labeled_data/technology/database/network.yml | 8 +- .../technology/database/object_oriented.yml | 113 +- labeled_data/technology/database/rdf.yml | 50 +- .../technology/database/relational.yml | 509 +- .../technology/database/search_engine.yml | 35 +- labeled_data/technology/database/spatial.yml | 17 +- .../technology/database/time_series.yml | 83 +- labeled_data/technology/database/vector.yml | 56 +- .../technology/database/wide_column.yml | 59 +- labeled_data/technology/frontend/index.yml | 338 +- labeled_data/technology/iot/index.yml | 110 +- .../technology/operating_system/index.yml | 263 +- notebook/award_result.csv | 72 + notebook/handbook.ipynb | 11418 +++++++--------- src/config.ts | 2 +- src/cron/index.ts | 21 +- src/cron/tasks/global_openrank.ts | 286 + src/cron/tasks/issue_reaction_importer.ts | 35 +- src/cron/tasks/monthly_export.ts | 367 +- src/cron/tasks/open_leaderboard.ts | 82 +- src/cron/tasks/remove_rename.ts | 4 +- src/cron/tasks/update_github_users.ts | 24 +- src/db/clickhouse.ts | 20 + src/db/neo4j.ts | 37 +- src/label_data_utils.ts | 145 +- src/metrics/basic.ts | 341 +- src/metrics/chaoss.ts | 591 +- src/metrics/index.ts | 2 - src/metrics/indices.ts | 196 +- src/metrics/metrics.ts | 154 +- src/metrics/related_users.ts | 10 - src/open_digger.js | 3 - src/utils.ts | 12 + test/driver.test.ts | 8 +- test/label.test.ts | 34 +- test/metrics.test.ts | 9 +- ..._dates_and_times_desc_3_all_org_month.json | 4 +- ...ates_and_times_desc_3_all_org_quarter.json | 4 +- ...e_dates_and_times_desc_3_all_org_year.json | 4 +- ..._dates_and_times_desc_3_all_org_month.json | 4 +- ...ates_and_times_desc_3_all_org_quarter.json | 4 +- ...e_dates_and_times_desc_3_all_org_year.json | 4 +- tsconfig.json | 9 +- 329 files changed, 34769 insertions(+), 21787 deletions(-) create mode 100644 labeled_data/companies/greatdb/index.yml create mode 100644 notebook/award_result.csv create mode 100644 src/cron/tasks/global_openrank.ts delete mode 100644 src/metrics/related_users.ts diff --git a/docs/assets/data_description.csv b/docs/assets/data_description.csv index 44bdf91c4..227badb62 100644 --- a/docs/assets/data_description.csv +++ b/docs/assets/data_description.csv @@ -1,4 +1,5 @@ name,type,description,payload_type +platform,Enum,"platform of this event instance, like GitHub, Gitee, AtomGit and etc.",All id,UInt64,uique identity of this event instance,All type,Enum,"event instance type,event instances of different event type have different payload from GitHub API",All action,Enum,action in the payload of event instance,All diff --git a/labeled_data/application_domain/application_software/index.yml b/labeled_data/application_domain/application_software/index.yml index 956a1ea24..32f49898c 100644 --- a/labeled_data/application_domain/application_software/index.yml +++ b/labeled_data/application_domain/application_software/index.yml @@ -1,2438 +1,4875 @@ name: Application Software type: Domain-0 -data: - github_repo: - - 28457823 # repo:freeCodeCamp/freeCodeCamp - - 36633370 # repo:awesome-selfhosted/awesome-selfhosted - - 184456251 # repo:microsoft/PowerToys - - 33614304 # repo:nvbn/thefuck - - 74293321 # repo:sveltejs/svelte - - 48378947 # repo:fatedier/frp - - 16408992 # repo:neovim/neovim - - 4311796 # repo:adam-p/markdown-here - - 12888993 # repo:home-assistant/core - - 45936895 # repo:Automattic/wp-calypso - - 39464018 # repo:apache/superset - - 60010673 # repo:elementor/elementor - - 32689863 # repo:3b1b/manim - - 14712850 # repo:syncthing/syncthing - - 114747226 # repo:deepfakes/faceswap - - 51980455 # repo:alacritty/alacritty - - 13233158 # repo:obsproject/obs-studio - - 15428480 # repo:ColorlibHQ/AdminLTE - - 20619036 # repo:pi-hole/pi-hole - - 54544023 # repo:Alvin9999/new-pac - - 153697551 # repo:Fndroid/clash_for_windows_pkg - - 136026789 # repo:iperov/DeepFaceLab - - 17803236 # repo:rclone/rclone - - 667006 # repo:videojs/video.js - - 162279822 # repo:agalwood/Motrix - - 35866694 # repo:RocketChat/Rocket.Chat - - 53631945 # repo:BurntSushi/ripgrep - - 231283452 # repo:excalidraw/excalidraw - - 199570071 # repo:2dust/v2rayN - - 79162682 # repo:laurent22/joplin - - 119811010 # repo:tabler/tabler - - 45512989 # repo:xitu/gold-miner - - 10446890 # repo:bilibili/ijkplayer - - 91573538 # repo:testerSunshine/12306 - - 108761645 # repo:nocodb/nocodb - - 212613049 # repo:cli/cli - - 30203935 # repo:metabase/metabase - - 130688011 # repo:meilisearch/meilisearch - - 52773157 # repo:typeorm/typeorm - - 26516210 # repo:certbot/certbot - - 67702184 # repo:topjohnwu/Magisk - - 128565937 # repo:iamadamdev/bypass-paywalls-chrome - - 377496562 # repo:AppFlowy-IO/AppFlowy - - 21125024 # repo:typicode/husky - - 13584262 # repo:webtorrent/webtorrent - - 19745004 # repo:odoo/odoo - - 180190854 # repo:appwrite/appwrite - - 168008797 # repo:microsoft/calculator - - 36891867 # repo:angular/angular-cli - - 116237823 # repo:lenve/vhr - - 4793392 # repo:sqlmapproject/sqlmap - - 25315643 # repo:nylas/nylas-mail - - 393571599 # repo:babysor/MockingBird - - 7587038 # repo:alibaba/canal - - 22362099 # repo:johnpapa/angular-styleguide - - 59652928 # repo:akveo/ngx-admin - - 3544424 # repo:httpie/httpie - - 45055693 # repo:balena-io/etcher - - 126178683 # repo:halo-dev/halo - - 56899284 # repo:Kong/insomnia - - 2206953 # repo:tj/commander.js - - 24268127 # repo:coreybutler/nvm-windows - - 2211243 # repo:apache/kafka - - 5101141 # repo:stedolan/jq - - 11620669 # repo:CodeHubApp/CodeHub - - 164554832 # repo:ageron/handson-ml2 - - 156084530 # repo:ehang-io/nps - - 24579238 # repo:vuejs/devtools - - 125596489 # repo:doczjs/docz - - 18044526 # repo:StreisandEffect/streisand - - 164574693 # repo:qishibo/AnotherRedisDesktopManager - - 2990192 # repo:signalapp/Signal-Android - - 349321229 # repo:TencentARC/GFPGAN - - 4307108 # repo:nsqio/nsq - - 30794868 # repo:sampotts/plyr - - 361044034 # repo:slidevjs/slidev - - 119160553 # repo:photoprism/photoprism - - 7212645 # repo:syl20bnr/spacemacs - - 98771110 # repo:zhongyang219/TrafficMonitor - - 206660580 # repo:facebookresearch/detectron2 - - 15315789 # repo:Wox-launcher/Wox - - 19620844 # repo:ovity/octotree - - 1420053 # repo:guzzle/guzzle - - 13926404 # repo:getredash/redash - - 116167731 # repo:yuzu-emu/yuzu - - 13428264 # repo:ShareX/ShareX - - 38380854 # repo:dnSpy/dnSpy - - 74260508 # repo:docsifyjs/docsify - - 70104825 # repo:dotnet-architecture/eShopOnContainers - - 18347476 # repo:google/iosched - - 3390243 # repo:servo/servo - - 58623321 # repo:bilibili/flv.js - - 127769231 # repo:DIYgod/RSSHub - - 311683390 # repo:WerWolv/ImHex - - 202367615 # repo:lyswhut/lx-music-desktop - - 128237146 # repo:vuejs/vuepress - - 107286889 # repo:schollz/croc - - 13862381 # repo:DrKLO/Telegram - - 27388642 # repo:homebridge/homebridge - - 53632140 # 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icholy/ttygif + - id: 38046095 + name: anmoljagetia/Flatabulous diff --git a/labeled_data/application_domain/libraries_and_frameworks/index.yml b/labeled_data/application_domain/libraries_and_frameworks/index.yml index 763384dac..8d03e6978 100644 --- a/labeled_data/application_domain/libraries_and_frameworks/index.yml +++ b/labeled_data/application_domain/libraries_and_frameworks/index.yml @@ -1,3140 +1,6279 @@ name: Libraries and Frameworks type: Domain-0 -data: - github_repo: - - 11730342 # repo:vuejs/vue - - 10270250 # repo:facebook/react - - 45717250 # repo:tensorflow/tensorflow - - 2126244 # repo:twbs/bootstrap - - 291137 # repo:ohmyzsh/ohmyzsh - - 31792824 # repo:flutter/flutter - - 1062897 # repo:github/gitignore - - 29028775 # repo:facebook/react-native - - 24195339 # repo:angular/angular - - 88464704 # repo:PanJiaChen/vue-element-admin - - 943149 # repo:d3/d3 - - 65711522 # repo:PaddlePaddle/Paddle - - 155220641 # repo:huggingface/transformers - - 139914932 # 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404f844a7..93bb121d9 100644 --- a/labeled_data/application_domain/system_software/index.yml +++ b/labeled_data/application_domain/system_software/index.yml @@ -1,229 +1,457 @@ name: System Software type: Domain-0 -data: - github_repo: - - 2325298 # repo:torvalds/linux - - 20580498 # repo:kubernetes/kubernetes - - 100060912 # repo:microsoft/terminal - - 156018 # repo:redis/redis - - 77213120 # repo:Eugeny/tabby - - 41986369 # repo:pingcap/tidb - - 16563587 # repo:cockroachdb/cockroach - - 6452529 # repo:rethinkdb/rethinkdb - - 60246359 # repo:ClickHouse/ClickHouse - - 269336148 # repo:sickcodes/Docker-OSX - - 507775 # repo:elastic/elasticsearch - - 160083795 # repo:SerenityOS/serenity - - 2909429 # repo:nicolargo/glances - - 50603846 # repo:parse-community/parse-server - - 145803079 # repo:felixrieseberg/windows95 - - 201454051 # repo:Awesome-HarmonyOS/HarmonyOS - - 9994688 # repo:ScoopInstaller/Scoop - - 71056775 # repo:kovidgoyal/kitty - - 181042062 # repo:utmapp/UTM - - 14158237 # 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133978099 + name: Auto-GPT-Bot + - id: 104586662 + name: aws-aemilia-iad + - id: 141306041 + name: cas-darwin-automation + - id: 83309141 + name: opensearch-ci-bot + - id: 106112202 + name: terraform-ibm-modules-ops + - id: 108880241 + name: terraform-ibm-modules-dev + - id: 107565488 + name: stainless-bot + - id: 25685558 + name: taylorbot + - id: 7216869 + name: sul-devops-team + - id: 30076809 + name: dianomicbot + - id: 84948785 + name: guru-dev-cicd-canary-beta + - id: 140712314 + name: taiga-family-bot + - id: 137812415 + name: platform-engineering-bot + - id: 60608242 + name: tna-digital-archiving-jenkins + - id: 77396727 + name: hmcts-platform-operations + - id: 54716445 + name: nr-security-github + - id: 66216016 + name: gardener-robot + - id: 90416843 + name: k8s-infra-cherrypick-robot + - id: 9638672 + name: loic-bot + - name: Gitee + type: Code Hosting + users: + - id: 7387629 + name: openharmony_ci + - id: 5329419 + name: openeuler-ci-bot + - id: 10101746 + name: anolis-bot + - id: 7718575 + name: I-am-a-robot + - id: 9376022 + name: sig-ci-test + - id: 8512944 + name: openeuler-sync-bot + - id: 5622128 + name: opengauss-bot + - id: 7862199 + name: turing_project + - id: 8783753 + name: paddlepaddle-gardener + - id: 5518576 + name: mindspore_ci + - id: 9508609 + name: openharmony_sig_ci + - id: 10071196 + name: openkylin-cibot + - id: 8783800 + name: paddlepaddle-coordinator + - id: 13084139 + name: opengauss_bot + - id: 7370452 + name: ibizlab_admin + - id: 9968373 + name: openeuler-survey-bot + - id: 8041105 + name: ci-robot diff --git a/labeled_data/communities/ecnu-oss101-2023-spring/index.yml b/labeled_data/communities/ecnu-oss101-2023-spring/index.yml index 97abee3c7..868c6eecd 100644 --- a/labeled_data/communities/ecnu-oss101-2023-spring/index.yml +++ b/labeled_data/communities/ecnu-oss101-2023-spring/index.yml @@ -1,91 +1,181 @@ name: ecnu-oss101-2023-spring type: Community data: - github_user: - - 15010826 # 王伟 @will-ww - - 50283262 # 黄温瑞 @andyhuang18 - - 104072573 # 李鸿斌 @lhbvvvvv - - 62098023 # 王婕 @wj23027 - - 115639837 # 朱志炜 @Zzzzzhuzhiwei - - 48199429 # 赵泽源 @zzyzeyuan - - 65576964 # 肖汛 @Goinggoinggoing - - 126432913 #李翔 @Ashura5 - - 43516416 # 翁思扬 @wengsy150943 - - 50694823 # 何诗雨 @hsy77 - - 57169636 # 杜涵悦 @hyDududu - - 55496466 # 吴迪 @WuDi329 - - 57783174 # 钱堃 @qkgoalkeeper - - 58819240 # 王赫 @HEHEhe00 - - 48644550 # 梁辉 @lh123cha - - 58059931 # 赵尉臣 @RTEnzyme - - 55051102 # 崔里青 @GiveMeAnApple99 - - 10475770 # 廖浩宇 @DarkHighness - - 55434314 # 翁祯敏 @Tamiflu233 - - 52284163 # 丁子晨 @heroding77 - - 69344592 # 倪舜杰 @momentNi - - 55912637 # 庄志豪 @xwyzsn - - 47179231 # 刘馨 @ifshine - - 63555242 # 朱嘉鹏 @JasonZhujp - - 46992199 # 吴家仪 @wujwyi - - 43561702 # 刘雨石 @Liuyushiii - - 96970952 # 郑文尧 @Chastelovee - - 41133441 # 张布昂 @zhangbububu - - 62339864 # 李泽浩 @594Surefour - - 103876282 # 简炜 @Freejww - - 55345671 # 林荣胜 @LinRS1999 - - 94515241 # 柏雪峰 @gdbaixuefeng - - 69778228 # 沈英姿 @rad9-13 - - 53335491 # 俞凯乐@Yukiho1028 - - 102850377 # 徐金凯 @JinkaiXu - - 52596706 # 葛青青 @gqq1210 - - 55592511 # 胡梓锐 @Wind-Gone - - 63634816 # 凌向荣@lxr599 - - 48399041 # 张焕 @hzhang4433 - - 57585077 # 史浩洋 @HaoyangShi - - 126441240 # 徐志杰 @renrenyouyuyu - - 53166898 # 唐晓雯 @tang-small-flower - - 91003227 # 佘霖琳 @tennnx - - 74176625 # 宋晏如 @Breaddsmall - - 48640516 # 罗瑶 @tiertie - - 54717826 # 赵一格 @See-r - - 45553618 # 陈宇灵 @RainforestC - - 26080098 # 贾金萍 @Jalingpp - - 103040612 # 腾龙 @TengLuoLuo - - 43560594 # 龚成华 @gongchenghua - - 62647317 # 张博宇 @Skydzl - - 126441519 # 郑学森@bensonzxs - - 57582035 # 周晨沂@zhouchengyi2000 - - 61183968 # 李炜毅 @yfsn666 - - 58195032 # 陈煜 @Missjust - - 52926307 # 刘锦奥 @JinaoLiu - - 56383404 # 孙畅煊 @smell-iron - - 45347422 # 何泽伟 @EIPsilly - - 59765776 # 周逸 @yz2022 - - 53068665 # 何雨菁 @xiaoyujinghe - - 75062132 # 晏玉琴 @yyq08042 - - 57469177 # 孙印政 @YinZheng-Sun - - 68408669 # 卢官宇 @itsKevin-lgy - - 50450905 # 王泽锟 @KAlbert2333 - - 56296699 # 陈鹏 @xiaofeichong123 - - 60032364 # 章可儿 @nicole01101101zke - - 55631829 # 杨杰 @yangjie407 - - 12644131 # 韩宇捷 @EiJuynah - - 51066534 # 王一平 @wypsz - - 54463670 # 程奂仑 @iWYZ-666 - - 43036142 # 仇昊晨 @Hcque - - 126441921 # 卫涛 @JackWeiw - - 57035291 # 卢春雨 @lucky-lcy-best - - 60216710 # 田锦东 @Philosober - - 58138577 # 肖政 @xunx911 - - 116413686 # 韩正愿 @HunterHan - - 101874748 # 汤伟 @TW-githubs - - 126316319 # 朱君鹏 @abcdabcd3899 - - 19218622 # 欧阳彪 @Kongbaimoon - - 104244590 # 潘志诚 @lroethan - - 23022359 # 梁青青 @qqliang - - 48078317 # 徐豪 @iclovemiku - - 28826899 # 童一啸 @tyxtyxtyxtyx - - 66667615 # 杨光舜 @yygs-yyss - - 22023446 # 蔡万里 @caiwanli - - 44828882 # 陈玄 @AmbitionCX - - 74044852 # 魏涵玥 @pourquoi-1130 + platforms: + - name: GitHub + type: Code Hosting + users: + - id: 15010826 + name: 王伟 @will-ww + - id: 50283262 + name: 黄温瑞 @andyhuang18 + - id: 104072573 + name: 李鸿斌 @lhbvvvvv + - id: 62098023 + name: 王婕 @wj23027 + - id: 115639837 + name: 朱志炜 @Zzzzzhuzhiwei + - id: 48199429 + name: 赵泽源 @zzyzeyuan + - id: 65576964 + name: 肖汛 @Goinggoinggoing + - id: 126432913 + name: 李翔 @Ashura5 + - id: 43516416 + name: 翁思扬 @wengsy150943 + - id: 50694823 + name: 何诗雨 @hsy77 + - id: 57169636 + name: 杜涵悦 @hyDududu + - id: 55496466 + name: 吴迪 @WuDi329 + - id: 57783174 + name: 钱堃 @qkgoalkeeper + - id: 58819240 + name: 王赫 @HEHEhe00 + - id: 48644550 + name: 梁辉 @lh123cha + - id: 58059931 + name: 赵尉臣 @RTEnzyme + - id: 55051102 + name: 崔里青 @GiveMeAnApple99 + - id: 10475770 + name: 廖浩宇 @DarkHighness + - id: 55434314 + name: 翁祯敏 @Tamiflu233 + - id: 52284163 + name: 丁子晨 @heroding77 + - id: 69344592 + name: 倪舜杰 @momentNi + - id: 55912637 + name: 庄志豪 @xwyzsn + - id: 47179231 + name: 刘馨 @ifshine + - id: 63555242 + name: 朱嘉鹏 @JasonZhujp + - id: 46992199 + name: 吴家仪 @wujwyi + - id: 43561702 + name: 刘雨石 @Liuyushiii + - id: 96970952 + name: 郑文尧 @Chastelovee + - id: 41133441 + name: 张布昂 @zhangbububu + - id: 62339864 + name: 李泽浩 @594Surefour + - id: 103876282 + name: 简炜 @Freejww + - id: 55345671 + name: 林荣胜 @LinRS1999 + - id: 94515241 + name: 柏雪峰 @gdbaixuefeng + - id: 69778228 + name: 沈英姿 @rad9-13 + - id: 53335491 + name: 俞凯乐@Yukiho1028 + - id: 102850377 + name: 徐金凯 @JinkaiXu + - id: 52596706 + name: 葛青青 @gqq1210 + - id: 55592511 + name: 胡梓锐 @Wind-Gone + - id: 63634816 + name: 凌向荣@lxr599 + - id: 48399041 + name: 张焕 @hzhang4433 + - id: 57585077 + name: 史浩洋 @HaoyangShi + - id: 126441240 + name: 徐志杰 @renrenyouyuyu + - id: 53166898 + name: 唐晓雯 @tang-small-flower + - id: 91003227 + name: 佘霖琳 @tennnx + - id: 74176625 + name: 宋晏如 @Breaddsmall + - id: 48640516 + name: 罗瑶 @tiertie + - id: 54717826 + name: 赵一格 @See-r + - id: 45553618 + name: 陈宇灵 @RainforestC + - id: 26080098 + name: 贾金萍 @Jalingpp + - id: 103040612 + name: 腾龙 @TengLuoLuo + - id: 43560594 + name: 龚成华 @gongchenghua + - id: 62647317 + name: 张博宇 @Skydzl + - id: 126441519 + name: 郑学森@bensonzxs + - id: 57582035 + name: 周晨沂@zhouchengyi2000 + - id: 61183968 + name: 李炜毅 @yfsn666 + - id: 58195032 + name: 陈煜 @Missjust + - id: 52926307 + name: 刘锦奥 @JinaoLiu + - id: 56383404 + name: 孙畅煊 @smell-iron + - id: 45347422 + name: 何泽伟 @EIPsilly + - id: 59765776 + name: 周逸 @yz2022 + - id: 53068665 + name: 何雨菁 @xiaoyujinghe + - id: 75062132 + name: 晏玉琴 @yyq08042 + - id: 57469177 + name: 孙印政 @YinZheng-Sun + - id: 68408669 + name: 卢官宇 @itsKevin-lgy + - id: 50450905 + name: 王泽锟 @KAlbert2333 + - id: 56296699 + name: 陈鹏 @xiaofeichong123 + - id: 60032364 + name: 章可儿 @nicole01101101zke + - id: 55631829 + name: 杨杰 @yangjie407 + - id: 12644131 + name: 韩宇捷 @EiJuynah + - id: 51066534 + name: 王一平 @wypsz + - id: 54463670 + name: 程奂仑 @iWYZ-666 + - id: 43036142 + name: 仇昊晨 @Hcque + - id: 126441921 + name: 卫涛 @JackWeiw + - id: 57035291 + name: 卢春雨 @lucky-lcy-best + - id: 60216710 + name: 田锦东 @Philosober + - id: 58138577 + name: 肖政 @xunx911 + - id: 116413686 + name: 韩正愿 @HunterHan + - id: 101874748 + name: 汤伟 @TW-githubs + - id: 126316319 + name: 朱君鹏 @abcdabcd3899 + - id: 19218622 + name: 欧阳彪 @Kongbaimoon + - id: 104244590 + name: 潘志诚 @lroethan + - id: 23022359 + name: 梁青青 @qqliang + - id: 48078317 + name: 徐豪 @iclovemiku + - id: 28826899 + name: 童一啸 @tyxtyxtyxtyx + - id: 66667615 + name: 杨光舜 @yygs-yyss + - id: 22023446 + name: 蔡万里 @caiwanli + - id: 44828882 + name: 陈玄 @AmbitionCX + - id: 74044852 + name: 魏涵玥 @pourquoi-1130 diff --git a/labeled_data/communities/mulan/index.yml b/labeled_data/communities/mulan/index.yml index 16a3cc226..551d44edb 100644 --- a/labeled_data/communities/mulan/index.yml +++ b/labeled_data/communities/mulan/index.yml @@ -1,12 +1,23 @@ name: Mulan type: Community data: - github_repo: - - 177068961 # repo:kubeovn/kube-ovn - - 131926778 # repo:cas-bigdatalab/piflow - - 372536055 # repo:oceanbase/obclient - - 34777562 # repo:ossrs/srs - - 222648751 # repo:rcore-os/zCore - - 274069307 # repo:MonkSoul/Furion - - 288431943 # repo:X-lab2017/open-digger - - 419195320 # repo:jianmu-dev/jianmu + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 177068961 + name: kubeovn/kube-ovn + - id: 131926778 + name: cas-bigdatalab/piflow + - id: 372536055 + name: oceanbase/obclient + - id: 34777562 + name: ossrs/srs + - id: 222648751 + name: rcore-os/zCore + - id: 274069307 + name: MonkSoul/Furion + - id: 288431943 + name: X-lab2017/open-digger + - id: 419195320 + name: jianmu-dev/jianmu diff --git a/labeled_data/communities/openmmlab/index.yml b/labeled_data/communities/openmmlab/index.yml index d796ccdcf..916f8a3b8 100644 --- a/labeled_data/communities/openmmlab/index.yml +++ b/labeled_data/communities/openmmlab/index.yml @@ -1,5 +1,9 @@ name: OpenMMLab type: Community data: - github_org: - - 10245193 # org:open-mmlab + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 10245193 + name: open-mmlab diff --git a/labeled_data/communities/xlab/hypertrons.yml b/labeled_data/communities/xlab/hypertrons.yml index 562ac2824..1a291de7d 100644 --- a/labeled_data/communities/xlab/hypertrons.yml +++ b/labeled_data/communities/xlab/hypertrons.yml @@ -1,5 +1,9 @@ name: Hypertrons type: Project data: - github_org: - - 57651122 # hypertrons + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 57651122 + name: hypertrons diff --git a/labeled_data/communities/xlab/index.yml b/labeled_data/communities/xlab/index.yml index 0e69676ce..6dd8eb0ea 100644 --- a/labeled_data/communities/xlab/index.yml +++ b/labeled_data/communities/xlab/index.yml @@ -1,54 +1,102 @@ name: X-lab type: Community data: - label: + labels: - hypertrons - open_digger - open_galaxy - github_org: - - 49427213 # X-lab2017 - - 106748077 # OpenEduTech - github_user: - - 15010826 # will-ww 王伟 - - 5781345 # tvbboy 蒲鹏 - - 31360564 # AliceCodeZhang 张琰彬 - - 8512426 # frank-zsy 赵生宇 - - 62591087 # wangleo61 王永雷 - - 32434520 # tyn1998 唐烨男 - - 15813364 # bifenglin 毕枫林 - - 39022409 # zhicheng-ning 宁志成 - - 37795442 # xgdyp 张翔宇 - - 37684061 # gymgym1212 顾业鸣 - - 56542972 # xiaoya-yaya 夏小雅 - - 44364729 # kongzhongsanbu 杨鸣 - - 40617667 # birdflyi 娄泽华 - - 20661689 # soobun 苏斌 - - 2922845 # chunchill 邱娟 - - 61407528 # wengzhenjie 翁振杰 - - 29705275 # yoyo-wu98 吴双 - - 59213474 # zhuxiangning 朱香宁 - - 91717658 # longyanz 张欣然 - - 39040502 # JingbenShi668 史经犇 - - 39271899 # wxharry 吴晓涵 - - 29674550 # PureNatural 韩凡宇 - - 66980876 # Best-Eminem 程一珂 - - 36123793 # betaberry 王原昭 - - 90825536 # foursevenlove 司琦 - - 41559368 # lijinlus 李锦路 - - 91596325 # blackburnnnn 雷镇豪 - - 65549549 # Kx-Chen-99 陈可璇 - - 37958710 # 19883235 俞泽恺 - - 62098023 # wj23027 王婕 - - 50283262 # andyhuang18 黄温瑞 - - 104072573 # lhbvvvvv 李鸿斌 - - 115639837 # Zzzzzhuzhiwei 朱志炜 - - 57035291 # lucky-xmyu 卢春雨 - - 84566503 # Miaheeee 何雨晴 - - 16789827 # dlimeng 李孟 - - 90242019 # Bruce-Jay 林以任 - - 34496563 # Nliver 李小明 - - 40034603 # TieWay59 伍泰炜 - - 68376741 # Tenth-crew 游明东 - - 135088663 # wangyantong2000 王衍童 - - 79428895 # zhaosj975 赵思嘉 - - 82229350 # huangfan0 黄帆 \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 49427213 + name: X-lab2017 + - id: 106748077 + name: OpenEduTech + users: + - id: 15010826 + name: will-ww 王伟 + - id: 5781345 + name: tvbboy 蒲鹏 + - id: 31360564 + name: AliceCodeZhang 张琰彬 + - id: 8512426 + name: frank-zsy 赵生宇 + - id: 62591087 + name: wangleo61 王永雷 + - id: 32434520 + name: tyn1998 唐烨男 + - id: 15813364 + name: bifenglin 毕枫林 + - id: 39022409 + name: zhicheng-ning 宁志成 + - id: 37795442 + name: xgdyp 张翔宇 + - id: 37684061 + name: gymgym1212 顾业鸣 + - id: 56542972 + name: xiaoya-yaya 夏小雅 + - id: 44364729 + name: kongzhongsanbu 杨鸣 + - id: 40617667 + name: birdflyi 娄泽华 + - id: 20661689 + name: soobun 苏斌 + - id: 2922845 + name: chunchill 邱娟 + - id: 61407528 + name: wengzhenjie 翁振杰 + - id: 29705275 + name: yoyo-wu98 吴双 + - id: 59213474 + name: zhuxiangning 朱香宁 + - id: 91717658 + name: longyanz 张欣然 + - id: 39040502 + name: JingbenShi668 史经犇 + - id: 39271899 + name: wxharry 吴晓涵 + - id: 29674550 + name: PureNatural 韩凡宇 + - id: 66980876 + name: Best-Eminem 程一珂 + - id: 36123793 + name: betaberry 王原昭 + - id: 90825536 + name: foursevenlove 司琦 + - id: 41559368 + name: lijinlus 李锦路 + - id: 91596325 + name: blackburnnnn 雷镇豪 + - id: 65549549 + name: Kx-Chen-99 陈可璇 + - id: 37958710 + name: 19883235 俞泽恺 + - id: 62098023 + name: wj23027 王婕 + - id: 50283262 + name: andyhuang18 黄温瑞 + - id: 104072573 + name: lhbvvvvv 李鸿斌 + - id: 115639837 + name: Zzzzzhuzhiwei 朱志炜 + - id: 57035291 + name: lucky-xmyu 卢春雨 + - id: 84566503 + name: Miaheeee 何雨晴 + - id: 16789827 + name: dlimeng 李孟 + - id: 90242019 + name: Bruce-Jay 林以任 + - id: 34496563 + name: Nliver 李小明 + - id: 40034603 + name: TieWay59 伍泰炜 + - id: 68376741 + name: Tenth-crew 游明东 + - id: 135088663 + name: wangyantong2000 王衍童 + - id: 79428895 + name: zhaosj975 赵思嘉 + - id: 82229350 + name: huangfan0 黄帆 diff --git a/labeled_data/communities/xlab/open_digger.yml b/labeled_data/communities/xlab/open_digger.yml index 8209e9a46..58e4643cd 100644 --- a/labeled_data/communities/xlab/open_digger.yml +++ b/labeled_data/communities/xlab/open_digger.yml @@ -1,5 +1,9 @@ name: OpenDigger type: Project data: - github_repo: - - 288431943 # X-lab2017/open-digger + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 288431943 + name: X-lab2017/open-digger diff --git a/labeled_data/communities/xlab/open_galaxy.yml b/labeled_data/communities/xlab/open_galaxy.yml index c037adbe6..dfe0c1be5 100644 --- a/labeled_data/communities/xlab/open_galaxy.yml +++ b/labeled_data/communities/xlab/open_galaxy.yml @@ -1,6 +1,11 @@ name: OpenGalaxy type: Project data: - github_repo: - - 428629051 # X-lab2017/open-galaxy - - 439244862 # X-lab2017/open-galaxy-backend + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 428629051 + name: X-lab2017/open-galaxy + - id: 439244862 + name: X-lab2017/open-galaxy-backend diff --git a/labeled_data/companies/360/index.yml b/labeled_data/companies/360/index.yml index 838936fef..4488ed44e 100644 --- a/labeled_data/companies/360/index.yml +++ b/labeled_data/companies/360/index.yml @@ -1,10 +1,19 @@ name: 360 type: Company data: - github_org: - - 4082929 # Qihoo360 - - 29911379 # spritejs - - 15226349 # thinkjs - - 29886630 # Chimeejs - - 5575368 # 75team - - 54881990 # 0Kee-Team + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 4082929 + name: Qihoo360 + - id: 29911379 + name: spritejs + - id: 15226349 + name: thinkjs + - id: 29886630 + name: Chimeejs + - id: 5575368 + name: 75team + - id: 54881990 + name: 0Kee-Team diff --git a/labeled_data/companies/acquia/index.yml b/labeled_data/companies/acquia/index.yml index d9cf669d2..2c0a29731 100644 --- a/labeled_data/companies/acquia/index.yml +++ b/labeled_data/companies/acquia/index.yml @@ -1,6 +1,11 @@ name: Acquia type: Company data: - github_org: - - 43922 # org:drupal - - 9769826 # org:drupal-composer + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 43922 + name: drupal + - id: 9769826 + name: drupal-composer diff --git a/labeled_data/companies/adobe/index.yml b/labeled_data/companies/adobe/index.yml index f253b5909..c91990df6 100644 --- a/labeled_data/companies/adobe/index.yml +++ b/labeled_data/companies/adobe/index.yml @@ -1,22 +1,38 @@ name: Adobe type: Company data: - - github_repo: - - 6898381 # repo:apache/cordova-android - - 6898387 # repo:apache/cordova-ios - - 5611582 # repo:apache/flex-sdk - - github_org: - - 476009 # org:adobe - - 168457 # org:magento - - 2976699 # org:adobe-webplatform - - 3536625 # org:adobe-research - - 4542585 # org:adobe-photoshop - - 4175954 # org:adobe-cloudops - - 2718604 # org:topcoat - - 4028872 # org:adobe-fonts - - 32504 # org:typekit - - 4764587 # org:adobe-flash - - 5420974 # org:adobe-consulting-services - - 1440554 # org:adobe-marketing-cloud + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 6898381 + name: apache/cordova-android + - id: 6898387 + name: apache/cordova-ios + - id: 5611582 + name: apache/flex-sdk + orgs: + - id: 476009 + name: adobe + - id: 168457 + name: magento + - id: 2976699 + name: adobe-webplatform + - id: 3536625 + name: adobe-research + - id: 4542585 + name: adobe-photoshop + - id: 4175954 + name: adobe-cloudops + - id: 2718604 + name: topcoat + - id: 4028872 + name: adobe-fonts + - id: 32504 + name: typekit + - id: 4764587 + name: adobe-flash + - id: 5420974 + name: adobe-consulting-services + - id: 1440554 + name: adobe-marketing-cloud diff --git a/labeled_data/companies/alfresco/index.yml b/labeled_data/companies/alfresco/index.yml index 4c92cfd08..ef2b3bf18 100644 --- a/labeled_data/companies/alfresco/index.yml +++ b/labeled_data/companies/alfresco/index.yml @@ -1,5 +1,9 @@ name: Alfresco type: Company data: - github_org: - - 391127 # org:Alfresco + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 391127 + name: Alfresco diff --git a/labeled_data/companies/alibaba/dubbo.yml b/labeled_data/companies/alibaba/dubbo.yml index 8719afc3c..04e3a8852 100644 --- a/labeled_data/companies/alibaba/dubbo.yml +++ b/labeled_data/companies/alibaba/dubbo.yml @@ -1,34 +1,66 @@ name: Apache Dubbo type: Project data: - github_repo: - - 4710920 # repo:apache/dubbo - - 117978265 # repo:apache/dubbo-spring-boot-project - - 143965255 # repo:apache/dubbo-go - - 117054584 # repo:apache/dubbo-admin - - 131394823 # repo:apache/dubbo-samples - - 23922564 # repo:apache/dubbo-js - - 37115105 # repo:apache/dubbo-website - - 138989039 # repo:apache/dubbo-php-framework - - 187781321 # repo:apache/dubbo-proxy - - 234250873 # repo:apache/dubbo-go-pixiu - - 33671298 # repo:apache/dubbo-python - - 33258826 # repo:apache/dubbo-rpc-jsonrpc - - 161442380 # repo:apache/dubbo-go-hessian2 - - 179025742 # repo:apache/dubbo-getty - - 303553011 # repo:apache/dubbo-go-samples - - 141266584 # repo:apache/dubbo-kubernetes - - 98619283 # repo:apache/dubbo-docs - - 263958647 # repo:apache/dubbo-spi-extensions - - 142535575 # repo:apache/dubbo-sentinel-support - - 153445364 # repo:apache/dubbo-erlang - - 206284188 # repo:apache/dubbo-awesome - - 133792430 # repo:apache/dubbo-benchmark - - 136004585 # repo:apache/dubbo-hessian-lite - - 133488175 # repo:apache/dubbo-python2 - - 135442448 # repo:apache/dubbo-async-processor - - 108082114 # repo:apache/dubbo-feature-test - - 139091095 # repo:apache/dubbo-logo - - 155653858 # repo:apache/dubbo-serialization-gson - github_org: - - 40481188 # org:dubbogo + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 4710920 + name: apache/dubbo + - id: 117978265 + name: apache/dubbo-spring-boot-project + - id: 143965255 + name: apache/dubbo-go + - id: 117054584 + name: apache/dubbo-admin + - id: 131394823 + name: apache/dubbo-samples + - id: 23922564 + name: apache/dubbo-js + - id: 37115105 + name: apache/dubbo-website + - id: 138989039 + name: apache/dubbo-php-framework + - id: 187781321 + name: apache/dubbo-proxy + - id: 234250873 + name: apache/dubbo-go-pixiu + - id: 33671298 + name: apache/dubbo-python + - id: 33258826 + name: apache/dubbo-rpc-jsonrpc + - id: 161442380 + name: apache/dubbo-go-hessian2 + - id: 179025742 + name: apache/dubbo-getty + - id: 303553011 + name: apache/dubbo-go-samples + - id: 141266584 + name: apache/dubbo-kubernetes + - id: 98619283 + name: apache/dubbo-docs + - id: 263958647 + name: apache/dubbo-spi-extensions + - id: 142535575 + name: apache/dubbo-sentinel-support + - id: 153445364 + name: apache/dubbo-erlang + - id: 206284188 + name: apache/dubbo-awesome + - id: 133792430 + name: apache/dubbo-benchmark + - id: 136004585 + name: apache/dubbo-hessian-lite + - id: 133488175 + name: apache/dubbo-python2 + - id: 135442448 + name: apache/dubbo-async-processor + - id: 108082114 + name: apache/dubbo-feature-test + - id: 139091095 + name: apache/dubbo-logo + - id: 155653858 + name: apache/dubbo-serialization-gson + orgs: + - id: 40481188 + name: dubbogo diff --git a/labeled_data/companies/alibaba/flink.yml b/labeled_data/companies/alibaba/flink.yml index e39a571d6..532991ff5 100644 --- a/labeled_data/companies/alibaba/flink.yml +++ b/labeled_data/companies/alibaba/flink.yml @@ -1,19 +1,36 @@ name: Apache Flink type: Project data: - github_repo: - - 20587599 # repo:apache/flink - - 351617021 # repo:apache/flink-ml - - 95084858 # repo:apache/flink-shaded - - 35755560 # repo:apache/flink-web - - 225625782 # repo:apache/flink-statefun - - 257240581 # repo:apache/flink-benchmarks - - 427387265 # repo:apache/flink-connectors - - 257240218 # repo:apache/flink-training - - 237409088 # repo:apache/flink-docker - - 347943373 # repo:apache/flink-statefun-playground - - 251242078 # repo:apache/flink-statefun-docker - - 196555066 # repo:apache/flink-playgrounds - - 355647312 # repo:apache/flink-jira-bot - github_org: - - 87363026 # org:flink-extended + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 20587599 + name: apache/flink + - id: 351617021 + name: apache/flink-ml + - id: 95084858 + name: apache/flink-shaded + - id: 35755560 + name: apache/flink-web + - id: 225625782 + name: apache/flink-statefun + - id: 257240581 + name: apache/flink-benchmarks + - id: 427387265 + name: apache/flink-connectors + - id: 257240218 + name: apache/flink-training + - id: 237409088 + name: apache/flink-docker + - id: 347943373 + name: apache/flink-statefun-playground + - id: 251242078 + name: apache/flink-statefun-docker + - id: 196555066 + name: apache/flink-playgrounds + - id: 355647312 + name: apache/flink-jira-bot + orgs: + - id: 87363026 + name: flink-extended diff --git a/labeled_data/companies/alibaba/index.yml b/labeled_data/companies/alibaba/index.yml index 3ece44154..35e4190dc 100644 --- a/labeled_data/companies/alibaba/index.yml +++ b/labeled_data/companies/alibaba/index.yml @@ -1,7 +1,7 @@ name: Alibaba type: Company data: - label: + labels: - dubbo - flink - rocketmq @@ -10,61 +10,126 @@ data: - nacos - opensumi - weex - github_org: - - 66622043 # org:Alibaba-Sample - - 38934544 # org:AlibabaCloudDocs - - 35217822 # org:AlibabaPAI - - 16377432 # org:AliyunContainerService - - 92418439 # org:ApsaraDB - - 56642198 # org:GraphScope - - 56627637 # org:T-head-Semi - - 43160974 # org:XianyuTech - - 1961952 # org:alibaba - - 55121350 # org:alibaba-edu - - 49384998 # org:alibabacloud-go - - 44830995 # org:alibabacloud-howto - - 70694200 # org:alibabacloud-sdk-cpp - - 49896061 # org:alibabacloud-sdk-php - - 61405193 # org:alibabacloud-sdk-swift - - 7741285 # org:aliqin - - 941070 # org:aliyun - - 16096311 # org:aliyun-beta - - 48477425 # org:chaosblade-io - - 50716105 # org:cloudnativeapp - - 44993420 # org:dragonflyoss - - 11751992 # org:dubbo - - 13195604 # org:hiloteam - - 49051229 # org:ice-lab - - 328318 # org:kissyteam - - 87515570 # org:kubedl-io - - 43056710 # org:mars-project - - 32128461 # org:midwayjs - - 30042306 # org:node-honeycomb - - 7125868 # org:node-modules - - 83446609 # org:oecp - - 75296004 # org:openkraken - - 69286650 # org:openyurtio - - 43955412 # org:sentinel-group - - 1560507 # org:taobao - - 1983116 # org:teambition - - 83062528 # org:v6d-io - - 35833849 # org:weex-ui-team - - 102641885 # org:alibaba-open-source-website - - 101698007 # org:koordinator-sh - - 100843567 # org:opensergo - - 104560867 # org:sealerio - - 109945100 # org:modelscope - - 49735278 # org:openkruise - - 73396749 # org:alibaba-incubator - - 113880714 # org:noslate-project - - 120164000 # org:polardb - - 74584788 # org:kubevela - - 40452342 # org:alibaba-fusion - - 125999365 # org:damo-vilab - - 127807288 # org:dragonwell-project - - 1201438 # org:eleme - - 4538353 # org:thx - - 3535043 # org:fluid - - 142002476 # org:alibabacloud-automation - - 121285115 # org:alibaba-archive - - 141981933 # org:aigc-apps + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 66622043 + name: Alibaba-Sample + - id: 38934544 + name: AlibabaCloudDocs + - id: 35217822 + name: AlibabaPAI + - id: 16377432 + name: AliyunContainerService + - id: 92418439 + name: ApsaraDB + - id: 56642198 + name: GraphScope + - id: 56627637 + name: T-head-Semi + - id: 43160974 + name: XianyuTech + - id: 1961952 + name: alibaba + - id: 55121350 + name: alibaba-edu + - id: 49384998 + name: alibabacloud-go + - id: 44830995 + name: alibabacloud-howto + - id: 70694200 + name: alibabacloud-sdk-cpp + - id: 49896061 + name: alibabacloud-sdk-php + - id: 61405193 + name: alibabacloud-sdk-swift + - id: 7741285 + name: aliqin + - id: 941070 + name: aliyun + - id: 16096311 + name: aliyun-beta + - id: 48477425 + name: chaosblade-io + - id: 50716105 + name: cloudnativeapp + - id: 44993420 + name: dragonflyoss + - id: 11751992 + name: dubbo + - id: 13195604 + name: hiloteam + - id: 49051229 + name: ice-lab + - id: 328318 + name: kissyteam + - id: 87515570 + name: kubedl-io + - id: 43056710 + name: mars-project + - id: 32128461 + name: midwayjs + - id: 30042306 + name: node-honeycomb + - id: 7125868 + name: node-modules + - id: 83446609 + name: oecp + - id: 75296004 + name: openkraken + - id: 69286650 + name: openyurtio + - id: 43955412 + name: sentinel-group + - id: 1560507 + name: taobao + - id: 1983116 + name: teambition + - id: 83062528 + name: v6d-io + - id: 35833849 + name: weex-ui-team + - id: 102641885 + name: alibaba-open-source-website + - id: 101698007 + name: koordinator-sh + - id: 100843567 + name: opensergo + - id: 104560867 + name: sealerio + - id: 109945100 + name: modelscope + - id: 49735278 + name: openkruise + - id: 73396749 + name: alibaba-incubator + - id: 113880714 + name: noslate-project + - id: 120164000 + name: polardb + - id: 74584788 + name: kubevela + - id: 40452342 + name: alibaba-fusion + - id: 125999365 + name: damo-vilab + - id: 127807288 + name: dragonwell-project + - id: 1201438 + name: eleme + - id: 4538353 + name: thx + - id: 3535043 + name: fluid + - id: 142002476 + name: alibabacloud-automation + - id: 121285115 + name: alibaba-archive + - id: 141981933 + name: aigc-apps + - name: Gitee + type: Code Hosting + orgs: + - id: 8571623 + name: anolis diff --git a/labeled_data/companies/alibaba/nacos.yml b/labeled_data/companies/alibaba/nacos.yml index 699843d40..3924eb4ea 100644 --- a/labeled_data/companies/alibaba/nacos.yml +++ b/labeled_data/companies/alibaba/nacos.yml @@ -1,7 +1,12 @@ name: Nacos type: Project data: - github_org: - - 41446552 # org:nacos-group - github_repo: - - 137451403 # repo:alibaba/nacos + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 137451403 + name: alibaba/nacos + orgs: + - id: 41446552 + name: nacos-group diff --git a/labeled_data/companies/alibaba/open_messaging.yml b/labeled_data/companies/alibaba/open_messaging.yml index 896372a22..475b5ed8b 100644 --- a/labeled_data/companies/alibaba/open_messaging.yml +++ b/labeled_data/companies/alibaba/open_messaging.yml @@ -1,5 +1,9 @@ name: OpenMessaging type: Project data: - github_org: - - 26734561 # org:openmessaging + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 26734561 + name: openmessaging diff --git a/labeled_data/companies/alibaba/opensumi.yml b/labeled_data/companies/alibaba/opensumi.yml index 77b767ad1..d7b50cf06 100644 --- a/labeled_data/companies/alibaba/opensumi.yml +++ b/labeled_data/companies/alibaba/opensumi.yml @@ -1,5 +1,9 @@ name: OpenSumi type: Project data: - github_org: - - 90233428 # org:opensumi + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 90233428 + name: opensumi diff --git a/labeled_data/companies/alibaba/rocketmq.yml b/labeled_data/companies/alibaba/rocketmq.yml index 9decfbecb..80cfb691f 100644 --- a/labeled_data/companies/alibaba/rocketmq.yml +++ b/labeled_data/companies/alibaba/rocketmq.yml @@ -1,18 +1,35 @@ name: Apache RocketMQ type: Project data: - github_repo: - - 75164823 # repo:apache/rocketmq - - 84916374 # repo:apache/rocketmq-externals - - 384930222 # repo:apache/rocketmq-streams - - 152519793 # repo:apache/rocketmq-client-cpp - - 152519982 # repo:apache/rocketmq-client-go - - 399046935 # repo:apache/rocketmq-flink - - 394265474 # repo:apache/rocketmq-dashboard - - 189944254 # repo:apache/rocketmq-exporter - - 153061118 # repo:apache/rocketmq-spring - - 189944025 # repo:apache/rocketmq-operator - - 77030884 # repo:apache/rocketmq-site - - 189943818 # repo:apache/rocketmq-docker - - 152519880 # repo:apache/rocketmq-client-python - - 152520149 # repo:apache/rocketmq-client-nodejs + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 75164823 + name: apache/rocketmq + - id: 84916374 + name: apache/rocketmq-externals + - id: 384930222 + name: apache/rocketmq-streams + - id: 152519793 + name: apache/rocketmq-client-cpp + - id: 152519982 + name: apache/rocketmq-client-go + - id: 399046935 + name: apache/rocketmq-flink + - id: 394265474 + name: apache/rocketmq-dashboard + - id: 189944254 + name: apache/rocketmq-exporter + - id: 153061118 + name: apache/rocketmq-spring + - id: 189944025 + name: apache/rocketmq-operator + - id: 77030884 + name: apache/rocketmq-site + - id: 189943818 + name: apache/rocketmq-docker + - id: 152519880 + name: apache/rocketmq-client-python + - id: 152520149 + name: apache/rocketmq-client-nodejs diff --git a/labeled_data/companies/alibaba/seata.yml b/labeled_data/companies/alibaba/seata.yml index e89da5e1b..31de840d1 100644 --- a/labeled_data/companies/alibaba/seata.yml +++ b/labeled_data/companies/alibaba/seata.yml @@ -1,5 +1,9 @@ name: Seata type: Project data: - github_org: - - 48813648 # org:seata + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 48813648 + name: seata diff --git a/labeled_data/companies/alibaba/weex.yml b/labeled_data/companies/alibaba/weex.yml index 00558a217..cce0814ab 100644 --- a/labeled_data/companies/alibaba/weex.yml +++ b/labeled_data/companies/alibaba/weex.yml @@ -1,11 +1,21 @@ name: Weex type: Project data: - github_repo: - - 78186814 # repo:apache/incubator-weex - - 80600049 # repo:apache/incubator-weex-site - - 105006031 # repo:apache/incubator-weex-ui - - 62320907 # repo:apache/incubator-weex-cli - - 195177223 # repo:apache/incubator-weex-playground - - 62036161 # repo:apache/incubator-weex-loader - - 203795420 # repo:apache/incubator-weex-android-compatible + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 78186814 + name: apache/incubator-weex + - id: 80600049 + name: apache/incubator-weex-site + - id: 105006031 + name: apache/incubator-weex-ui + - id: 62320907 + name: apache/incubator-weex-cli + - id: 195177223 + name: apache/incubator-weex-playground + - id: 62036161 + name: apache/incubator-weex-loader + - id: 203795420 + name: apache/incubator-weex-android-compatible diff --git a/labeled_data/companies/alluxio/index.yml b/labeled_data/companies/alluxio/index.yml index d315b3676..de6fcd06d 100644 --- a/labeled_data/companies/alluxio/index.yml +++ b/labeled_data/companies/alluxio/index.yml @@ -1,5 +1,9 @@ name: Alluxio type: Company data: - github_org: - - 16203694 # org:Alluxio + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 16203694 + name: Alluxio diff --git a/labeled_data/companies/amazon/aws_amplify.yml b/labeled_data/companies/amazon/aws_amplify.yml index c04570aa6..415fae665 100644 --- a/labeled_data/companies/amazon/aws_amplify.yml +++ b/labeled_data/companies/amazon/aws_amplify.yml @@ -1,5 +1,9 @@ name: AWS Amplify type: Project data: - github_org: - - 41077760 # org:aws-amplify + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 41077760 + name: aws-amplify diff --git a/labeled_data/companies/amazon/aws_cdk.yml b/labeled_data/companies/amazon/aws_cdk.yml index eaf492f6d..2e39f283c 100644 --- a/labeled_data/companies/amazon/aws_cdk.yml +++ b/labeled_data/companies/amazon/aws_cdk.yml @@ -1,5 +1,9 @@ name: AWS CDK type: Project data: - github_repo: - - 105808767 # repo:aws/aws-cdk + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 105808767 + name: aws/aws-cdk diff --git a/labeled_data/companies/amazon/aws_distro_for_opentelemetry.yml b/labeled_data/companies/amazon/aws_distro_for_opentelemetry.yml index 755209a71..84241b5f8 100644 --- a/labeled_data/companies/amazon/aws_distro_for_opentelemetry.yml +++ b/labeled_data/companies/amazon/aws_distro_for_opentelemetry.yml @@ -1,5 +1,9 @@ name: AWS Distro for OpenTelemetry type: Project data: - github_org: - - 69270564 # org:aws-observability + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 69270564 + name: aws-observability diff --git a/labeled_data/companies/amazon/babelfish_for_postgresql.yml b/labeled_data/companies/amazon/babelfish_for_postgresql.yml index 1bc30bbeb..7905c354d 100644 --- a/labeled_data/companies/amazon/babelfish_for_postgresql.yml +++ b/labeled_data/companies/amazon/babelfish_for_postgresql.yml @@ -1,5 +1,9 @@ name: Babelfish for PostgreSQL type: Project data: - github_org: - - 74576505 # org:babelfish-for-postgresql + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 74576505 + name: babelfish-for-postgresql diff --git a/labeled_data/companies/amazon/bottlerocket.yml b/labeled_data/companies/amazon/bottlerocket.yml index bf4bb8603..2147a5158 100644 --- a/labeled_data/companies/amazon/bottlerocket.yml +++ b/labeled_data/companies/amazon/bottlerocket.yml @@ -1,5 +1,9 @@ name: Bottlerocket type: Project data: - github_org: - - 61023959 # org:bottlerocket-os + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 61023959 + name: bottlerocket-os diff --git a/labeled_data/companies/amazon/eks_distro.yml b/labeled_data/companies/amazon/eks_distro.yml index cab09b289..98c2e4814 100644 --- a/labeled_data/companies/amazon/eks_distro.yml +++ b/labeled_data/companies/amazon/eks_distro.yml @@ -1,5 +1,9 @@ name: EKS Distro type: Project data: - github_repo: - - 313741735 # repo:aws/eks-distro + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 313741735 + name: aws/eks-distro diff --git a/labeled_data/companies/amazon/firecracker.yml b/labeled_data/companies/amazon/firecracker.yml index d8f9429bd..f1bf40c77 100644 --- a/labeled_data/companies/amazon/firecracker.yml +++ b/labeled_data/companies/amazon/firecracker.yml @@ -1,5 +1,9 @@ name: Firecracker type: Project data: - github_org: - - 44477506 # org:firecracker-microvm + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 44477506 + name: firecracker-microvm diff --git a/labeled_data/companies/amazon/freertos.yml b/labeled_data/companies/amazon/freertos.yml index 24feff24a..07bb8a298 100644 --- a/labeled_data/companies/amazon/freertos.yml +++ b/labeled_data/companies/amazon/freertos.yml @@ -1,5 +1,9 @@ name: FreeRTOS type: Project data: - github_org: - - 54647343 # org:freertos + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 54647343 + name: freertos diff --git a/labeled_data/companies/amazon/index.yml b/labeled_data/companies/amazon/index.yml index f553bb6bf..2e0cb3313 100644 --- a/labeled_data/companies/amazon/index.yml +++ b/labeled_data/companies/amazon/index.yml @@ -1,7 +1,7 @@ name: Amazon type: Company data: - label: + labels: - aws_amplify - aws_cdk - aws_distro_for_opentelemetry @@ -11,28 +11,55 @@ data: - freertos - opensearch - bottlerocket - github_org: - - 2232217 # org:aws - - 8931462 # org:aws-samples - - 3299148 # org:awslabs - - 8661631 # org:awsdocs - - 17076214 # org:aws-quickstart - - 84986730 # org:aws-ia - - 49037648 # org:aws-solutions - - 57468012 # org:aws-actions - - 29926826 # org:amazon-archives - - 70298811 # org:amazon-research - - 73786311 # org:projen - - 44104058 # org:corretto - - 168515 # org:ajaxorg - - 32580227 # org:gluon-api - - 327752 # org:boto - - 45669720 # org:neo-ai - - 45947357 # org:amazonlinux - - 54455934 # org:amazon-connect - - 19900777 # org:aws-cloudformation - - 75227353 # org:cdklabs - - 45240205 # org:aws-robotics - - 79480778 # org:aws-deepracer - - 92389699 # org:autogluon - - 45669720 # org:neo-ai + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 2232217 + name: aws + - id: 8931462 + name: aws-samples + - id: 3299148 + name: awslabs + - id: 8661631 + name: awsdocs + - id: 17076214 + name: aws-quickstart + - id: 84986730 + name: aws-ia + - id: 49037648 + name: aws-solutions + - id: 57468012 + name: aws-actions + - id: 29926826 + name: amazon-archives + - id: 70298811 + name: amazon-research + - id: 73786311 + name: projen + - id: 44104058 + name: corretto + - id: 168515 + name: ajaxorg + - id: 32580227 + name: gluon-api + - id: 327752 + name: boto + - id: 45669720 + name: neo-ai + - id: 45947357 + name: amazonlinux + - id: 54455934 + name: amazon-connect + - id: 19900777 + name: aws-cloudformation + - id: 75227353 + name: cdklabs + - id: 45240205 + name: aws-robotics + - id: 79480778 + name: aws-deepracer + - id: 92389699 + name: autogluon + - id: 45669720 + name: neo-ai diff --git a/labeled_data/companies/amazon/opensearch.yml b/labeled_data/companies/amazon/opensearch.yml index efac4db81..91991078e 100644 --- a/labeled_data/companies/amazon/opensearch.yml +++ b/labeled_data/companies/amazon/opensearch.yml @@ -1,5 +1,9 @@ name: OpenSearch type: Project data: - github_org: - - 80134844 # org:opensearch-project + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 80134844 + name: opensearch-project diff --git a/labeled_data/companies/anaconda/index.yml b/labeled_data/companies/anaconda/index.yml index 02ad0b9a2..afd6d13cb 100644 --- a/labeled_data/companies/anaconda/index.yml +++ b/labeled_data/companies/anaconda/index.yml @@ -1,6 +1,11 @@ name: Anaconda type: Company data: - github_org: - - 3571983 # org:Anaconda-Platform - - 100553281 # org:pyscript + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 3571983 + name: Anaconda-Platform + - id: 100553281 + name: pyscript diff --git a/labeled_data/companies/antgroup/antchain.yml b/labeled_data/companies/antgroup/antchain.yml index a15161645..88cf41e3f 100644 --- a/labeled_data/companies/antgroup/antchain.yml +++ b/labeled_data/companies/antgroup/antchain.yml @@ -1,6 +1,11 @@ name: Ant Chain type: Project data: - github_org: - - 67619037 # org:antchain-openapi-sdk-go - - 67618898 # org:antchain-openapi-sdk-php + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 67619037 + name: antchain-openapi-sdk-go + - id: 67618898 + name: antchain-openapi-sdk-php diff --git a/labeled_data/companies/antgroup/antd.yml b/labeled_data/companies/antgroup/antd.yml index 51a6140bc..b58c2afb6 100644 --- a/labeled_data/companies/antgroup/antd.yml +++ b/labeled_data/companies/antgroup/antd.yml @@ -1,5 +1,9 @@ name: Ant design type: Project data: - github_org: - - 12101536 # org:ant-design + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 12101536 + name: ant-design diff --git a/labeled_data/companies/antgroup/egg.yml b/labeled_data/companies/antgroup/egg.yml index 4396369cf..430b7a744 100644 --- a/labeled_data/companies/antgroup/egg.yml +++ b/labeled_data/companies/antgroup/egg.yml @@ -1,5 +1,9 @@ name: Egg.js type: Project data: - github_org: - - 15833670 # org:eggjs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 15833670 + name: eggjs diff --git a/labeled_data/companies/antgroup/index.yml b/labeled_data/companies/antgroup/index.yml index 5234487fe..bb088a79f 100644 --- a/labeled_data/companies/antgroup/index.yml +++ b/labeled_data/companies/antgroup/index.yml @@ -1,7 +1,7 @@ name: Ant group type: Company data: - label: + labels: - antchain - antd - egg @@ -11,22 +11,43 @@ data: - sofastack - :companies/alibaba/seata - :companies/alibaba/opensumi - github_org: - - 58020396 # org:mosn - - 45012756 # org:occlum - - 19199542 # org:antvis - - 48231449 # org:sql-machine-learning - - 33895495 # org:umijs - - 45850884 # org:karasjs - - 72598982 # org:oasis-engine - - 20552239 # org:dvajs - - 62416602 # org:mpaas-demo - - 1299356 # org:alipay - - 103737651 # org:secretflow - - 77516929 # org:ceresdb - - 104968284 # org:kusionstack - - 106951936 # org:traasstack - - 102720338 # org:Tongsuo-Project - - 107394922 # org:tugraph-db - - 37180217 # org:ant-mini-program - - 30223759 # org:NG-ZORRO + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 58020396 + name: mosn + - id: 45012756 + name: occlum + - id: 19199542 + name: antvis + - id: 48231449 + name: sql-machine-learning + - id: 33895495 + name: umijs + - id: 45850884 + name: karasjs + - id: 72598982 + name: oasis-engine + - id: 20552239 + name: dvajs + - id: 62416602 + name: mpaas-demo + - id: 1299356 + name: alipay + - id: 103737651 + name: secretflow + - id: 77516929 + name: ceresdb + - id: 104968284 + name: kusionstack + - id: 106951936 + name: traasstack + - id: 102720338 + name: Tongsuo-Project + - id: 107394922 + name: tugraph-db + - id: 37180217 + name: ant-mini-program + - id: 30223759 + name: NG-ZORRO diff --git a/labeled_data/companies/antgroup/kata_container.yml b/labeled_data/companies/antgroup/kata_container.yml index 1cc298444..0566a2d53 100644 --- a/labeled_data/companies/antgroup/kata_container.yml +++ b/labeled_data/companies/antgroup/kata_container.yml @@ -1,5 +1,9 @@ name: Kata Containers type: Project data: - github_org: - - 33289952 # org:kata-containers + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 33289952 + name: kata-containers diff --git a/labeled_data/companies/antgroup/macaca.yml b/labeled_data/companies/antgroup/macaca.yml index c0dc54642..25ec48512 100644 --- a/labeled_data/companies/antgroup/macaca.yml +++ b/labeled_data/companies/antgroup/macaca.yml @@ -1,8 +1,14 @@ name: Macaca type: Project data: - github_repo: - - 53995946 # repo:alibaba/macaca - github_org: - - 12892132 # org:macacajs - - 24447273 # org:macaca-sample + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 53995946 + name: alibaba/macaca + orgs: + - id: 12892132 + name: macacajs + - id: 24447273 + name: macaca-sample diff --git a/labeled_data/companies/antgroup/oceanbase.yml b/labeled_data/companies/antgroup/oceanbase.yml index 0b3f2ced6..57b8cbbb6 100644 --- a/labeled_data/companies/antgroup/oceanbase.yml +++ b/labeled_data/companies/antgroup/oceanbase.yml @@ -1,5 +1,9 @@ name: OceanBase type: Project data: - github_org: - - 82347605 # org:oceanbase + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 82347605 + name: oceanbase diff --git a/labeled_data/companies/antgroup/sofastack.yml b/labeled_data/companies/antgroup/sofastack.yml index 322464372..fbc11f75f 100644 --- a/labeled_data/companies/antgroup/sofastack.yml +++ b/labeled_data/companies/antgroup/sofastack.yml @@ -1,5 +1,9 @@ name: Sofastack type: Project data: - github_org: - - 36956638 # org:sofastack + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 36956638 + name: sofastack diff --git a/labeled_data/companies/api7/index.yml b/labeled_data/companies/api7/index.yml index 32556001b..c1af221e2 100644 --- a/labeled_data/companies/api7/index.yml +++ b/labeled_data/companies/api7/index.yml @@ -1,5 +1,9 @@ name: API7 type: Company data: - github_repo: - - 180481986 # repo:apache/apisix + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 180481986 + name: apache/apisix diff --git a/labeled_data/companies/artelnics/index.yml b/labeled_data/companies/artelnics/index.yml index 27fd2ea56..b4152d0ea 100644 --- a/labeled_data/companies/artelnics/index.yml +++ b/labeled_data/companies/artelnics/index.yml @@ -1,5 +1,9 @@ name: Artelnics type: Company data: - github_org: - - 16352922 # org:Artelnics + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 16352922 + name: Artelnics diff --git a/labeled_data/companies/baidu/brpc.yml b/labeled_data/companies/baidu/brpc.yml index 6a753c092..4be0868c8 100644 --- a/labeled_data/companies/baidu/brpc.yml +++ b/labeled_data/companies/baidu/brpc.yml @@ -1,5 +1,9 @@ name: bRPC type: Project data: - github_repo: - - 102343794 # apache/incubator-brpc + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 102343794 + name: apache/incubator-brpc diff --git a/labeled_data/companies/baidu/echarts.yml b/labeled_data/companies/baidu/echarts.yml index cb3a095f9..ff27a70bf 100644 --- a/labeled_data/companies/baidu/echarts.yml +++ b/labeled_data/companies/baidu/echarts.yml @@ -1,5 +1,9 @@ name: echarts type: Project data: - github_repo: - - 9185792 # apache/echarts + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 9185792 + name: apache/echarts diff --git a/labeled_data/companies/baidu/index.yml b/labeled_data/companies/baidu/index.yml index 0664098b0..91ed0373e 100644 --- a/labeled_data/companies/baidu/index.yml +++ b/labeled_data/companies/baidu/index.yml @@ -1,21 +1,37 @@ name: Baidu type: Company data: - label: + labels: - paddle - echarts - brpc - github_org: - - 13245940 # org:baidu - - 23534030 # org:PaddlePaddle - - 28768304 # org:ApolloAuto - - 7857697 # org:Clouda-team - - 19966931 # org:mipengine - - 34010907 # org:mesalock-linux - - 2268460 # org:ecomfe - - 6668906 # org:fex-team - - 8051311 # org:baidu-research - - 13144859 # org:huiyan-fe - - 8372490 # org:be-fe - - 38243092 # org:swan-team - - 43258643 # org:xuperchain + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 13245940 + name: baidu + - id: 23534030 + name: PaddlePaddle + - id: 28768304 + name: ApolloAuto + - id: 7857697 + name: Clouda-team + - id: 19966931 + name: mipengine + - id: 34010907 + name: mesalock-linux + - id: 2268460 + name: ecomfe + - id: 6668906 + name: fex-team + - id: 8051311 + name: baidu-research + - id: 13144859 + name: huiyan-fe + - id: 8372490 + name: be-fe + - id: 38243092 + name: swan-team + - id: 43258643 + name: xuperchain diff --git a/labeled_data/companies/baidu/paddle.yml b/labeled_data/companies/baidu/paddle.yml index ee654b532..4aca005c3 100644 --- a/labeled_data/companies/baidu/paddle.yml +++ b/labeled_data/companies/baidu/paddle.yml @@ -1,5 +1,14 @@ name: PaddlePaddle type: Project data: - github_org: - - 23534030 # PaddlePaddle + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 23534030 + name: PaddlePaddle + - name: Gitee + type: Code Hosting + orgs: + - id: 5746888 + name: paddlepaddle diff --git a/labeled_data/companies/bilibili/index.yml b/labeled_data/companies/bilibili/index.yml index b7d5d8e65..deaf98205 100644 --- a/labeled_data/companies/bilibili/index.yml +++ b/labeled_data/companies/bilibili/index.yml @@ -1,5 +1,9 @@ name: Bilibili type: Company data: - github_org: - - 12002442 # bilibili + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 12002442 + name: bilibili diff --git a/labeled_data/companies/blue_spire/index.yml b/labeled_data/companies/blue_spire/index.yml index ca0b1491f..be6ce38f7 100644 --- a/labeled_data/companies/blue_spire/index.yml +++ b/labeled_data/companies/blue_spire/index.yml @@ -1,5 +1,9 @@ name: Blue Spire type: Company data: - github_org: - - 9808864 # org:aurelia + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 9808864 + name: aurelia diff --git a/labeled_data/companies/bytebase/index.yml b/labeled_data/companies/bytebase/index.yml index ce24ba70a..42011cff3 100644 --- a/labeled_data/companies/bytebase/index.yml +++ b/labeled_data/companies/bytebase/index.yml @@ -1,5 +1,9 @@ name: Bytebase type: Company data: - github_org: - - 74386897 # org:bytebase + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 74386897 + name: bytebase diff --git a/labeled_data/companies/bytedance/cloudwego.yml b/labeled_data/companies/bytedance/cloudwego.yml index c1f0627bd..880387a03 100644 --- a/labeled_data/companies/bytedance/cloudwego.yml +++ b/labeled_data/companies/bytedance/cloudwego.yml @@ -1,5 +1,9 @@ name: CloudWeGo type: Project data: - github_org: - - 79236453 # CloudWeGo + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 79236453 + name: CloudWeGo diff --git a/labeled_data/companies/bytedance/index.yml b/labeled_data/companies/bytedance/index.yml index d6e7c4787..8cf7c8829 100644 --- a/labeled_data/companies/bytedance/index.yml +++ b/labeled_data/companies/bytedance/index.yml @@ -1,24 +1,45 @@ name: ByteDance type: Company data: - label: + labels: - cloudwego - github_org: - - 4158466 # bytedance - - 67365215 # org:volcengine - - 48308427 # org:oceanengine - - 54944174 # org:larksuite - - 86451563 # org:byteplus-sdk - - 83933364 # org:bytehouse-cloud - - 61349443 # org:tiktok - - 109843179 # org:Pico-Developer - - 116331991 # org:byted-apaas - - 88025672 # org:DouyinFE - - 108003076 # org:kubewharf - - 109669302 # org:perfsee - - 86103017 # org:MBoxPlus - - 64576149 # org:arco-design - - 87694465 # org:web-infra-dev - - 74184117 # org:bytees - - 114223545 # org:ByConity - - 126661221 # org:visactor + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 4158466 + name: bytedance + - id: 67365215 + name: volcengine + - id: 48308427 + name: oceanengine + - id: 54944174 + name: larksuite + - id: 86451563 + name: byteplus-sdk + - id: 83933364 + name: bytehouse-cloud + - id: 61349443 + name: tiktok + - id: 109843179 + name: Pico-Developer + - id: 116331991 + name: byted-apaas + - id: 88025672 + name: DouyinFE + - id: 108003076 + name: kubewharf + - id: 109669302 + name: perfsee + - id: 86103017 + name: MBoxPlus + - id: 64576149 + name: arco-design + - id: 87694465 + name: web-infra-dev + - id: 74184117 + name: bytees + - id: 114223545 + name: ByConity + - id: 126661221 + name: visactor diff --git a/labeled_data/companies/chatopera/index.yml b/labeled_data/companies/chatopera/index.yml index a7a8f8a8e..6f00c1fee 100644 --- a/labeled_data/companies/chatopera/index.yml +++ b/labeled_data/companies/chatopera/index.yml @@ -1,5 +1,9 @@ name: Chatopera type: Company data: - github_org: - - 34515877 # org:chatopera + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 34515877 + name: chatopera diff --git a/labeled_data/companies/cloudbees/index.yml b/labeled_data/companies/cloudbees/index.yml index 7a5c1325e..00aed5ea8 100644 --- a/labeled_data/companies/cloudbees/index.yml +++ b/labeled_data/companies/cloudbees/index.yml @@ -1,5 +1,9 @@ name: Cloudbees type: Company data: - github_org: - - 107424 # org:jenkinsci + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 107424 + name: jenkinsci diff --git a/labeled_data/companies/cloudera/index.yml b/labeled_data/companies/cloudera/index.yml index 7f6c54ec6..9a7f1d941 100644 --- a/labeled_data/companies/cloudera/index.yml +++ b/labeled_data/companies/cloudera/index.yml @@ -1,7 +1,12 @@ name: Cloudera type: Company data: - github_org: - - 87383 # org:cloudera - github_repo: - - 23418517 # repo:apache/hadoop + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 23418517 + name: apache/hadoop + orgs: + - id: 87383 + name: cloudera diff --git a/labeled_data/companies/cloudwise/index.yml b/labeled_data/companies/cloudwise/index.yml index 2b50c5067..13c518861 100644 --- a/labeled_data/companies/cloudwise/index.yml +++ b/labeled_data/companies/cloudwise/index.yml @@ -1,5 +1,9 @@ name: Cloud Wise type: Company data: - github_org: - - 20625392 # org:CloudWise-OpenSource + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 20625392 + name: CloudWise-OpenSource diff --git a/labeled_data/companies/confluent/index.yml b/labeled_data/companies/confluent/index.yml index d34fb0d7b..7c55ff8c0 100644 --- a/labeled_data/companies/confluent/index.yml +++ b/labeled_data/companies/confluent/index.yml @@ -1,5 +1,9 @@ name: Confluent type: Company data: - github_repo: - - 2211243 # repo:apache/kafka + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 2211243 + name: apache/kafka diff --git a/labeled_data/companies/coss.yml b/labeled_data/companies/coss.yml index 6a901963f..c2b03896b 100644 --- a/labeled_data/companies/coss.yml +++ b/labeled_data/companies/coss.yml @@ -1,7 +1,7 @@ name: COSS -type: +type: null data: - label: + labels: - :companies/pentaho - :companies/alfresco - :companies/docker diff --git a/labeled_data/companies/couchbase/index.yml b/labeled_data/companies/couchbase/index.yml index 53a506d16..2832e808f 100644 --- a/labeled_data/companies/couchbase/index.yml +++ b/labeled_data/companies/couchbase/index.yml @@ -1,5 +1,9 @@ name: Couchbase type: Company data: - github_org: - - 605755 # org:couchbase + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 605755 + name: couchbase diff --git a/labeled_data/companies/ctrip/index.yml b/labeled_data/companies/ctrip/index.yml index 68bde7e8d..aa41e7ac3 100644 --- a/labeled_data/companies/ctrip/index.yml +++ b/labeled_data/companies/ctrip/index.yml @@ -1,5 +1,9 @@ name: CTrip type: Company data: - github_org: - - 10720307 # ctripcorp + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 10720307 + name: ctripcorp diff --git a/labeled_data/companies/databricks/index.yml b/labeled_data/companies/databricks/index.yml index e0509ccf5..056513dcb 100644 --- a/labeled_data/companies/databricks/index.yml +++ b/labeled_data/companies/databricks/index.yml @@ -1,9 +1,16 @@ name: Databricks type: Company data: - github_repo: - - 17165658 # repo:apache/spark - - 13926404 # repo:getredash/redash - github_org: - - 4998052 # org:databricks - - 49767398 # org:delta-io + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 17165658 + name: apache/spark + - id: 13926404 + name: getredash/redash + orgs: + - id: 4998052 + name: databricks + - id: 49767398 + name: delta-io diff --git a/labeled_data/companies/datacanvas/index.yml b/labeled_data/companies/datacanvas/index.yml index 71a7207ca..5ee886fc0 100644 --- a/labeled_data/companies/datacanvas/index.yml +++ b/labeled_data/companies/datacanvas/index.yml @@ -1,5 +1,9 @@ name: DataCanvas type: Company data: - github_org: - - 91237812 # org:dingodb + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 91237812 + name: dingodb diff --git a/labeled_data/companies/datafuse/index.yml b/labeled_data/companies/datafuse/index.yml index 186a0980a..f885ec77e 100644 --- a/labeled_data/companies/datafuse/index.yml +++ b/labeled_data/companies/datafuse/index.yml @@ -1,5 +1,9 @@ name: Datafuse Labs type: Company data: - github_org: - - 80994548 # org:datafuselabs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 80994548 + name: datafuselabs diff --git a/labeled_data/companies/dcloud/index.yml b/labeled_data/companies/dcloud/index.yml index d67b009de..f4ebe33ac 100644 --- a/labeled_data/companies/dcloud/index.yml +++ b/labeled_data/companies/dcloud/index.yml @@ -1,5 +1,9 @@ name: DCloud type: Company data: - github_org: - - 5485517 # dcloudio + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 5485517 + name: dcloudio diff --git a/labeled_data/companies/deepin/index.yml b/labeled_data/companies/deepin/index.yml index 43f93d023..6f577da98 100644 --- a/labeled_data/companies/deepin/index.yml +++ b/labeled_data/companies/deepin/index.yml @@ -1,5 +1,9 @@ name: Deepin type: Company data: - github_org: - - 1592697 # linuxdeepin + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1592697 + name: linuxdeepin diff --git a/labeled_data/companies/deepmind/index.yml b/labeled_data/companies/deepmind/index.yml index 1a8817958..423cd0128 100644 --- a/labeled_data/companies/deepmind/index.yml +++ b/labeled_data/companies/deepmind/index.yml @@ -1,5 +1,9 @@ name: Deepmind type: Company data: - github_org: - - 8596759 # org:deepmind + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 8596759 + name: deepmind diff --git a/labeled_data/companies/deno/index.yml b/labeled_data/companies/deno/index.yml index 91b14ac49..61a3eb73f 100644 --- a/labeled_data/companies/deno/index.yml +++ b/labeled_data/companies/deno/index.yml @@ -1,5 +1,9 @@ name: Deno type: Company data: - github_org: - - 42048915 # org:denoland + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 42048915 + name: denoland diff --git a/labeled_data/companies/didi/index.yml b/labeled_data/companies/didi/index.yml index 8a48cf21a..f82fad9eb 100644 --- a/labeled_data/companies/didi/index.yml +++ b/labeled_data/companies/didi/index.yml @@ -1,5 +1,9 @@ name: Didi type: Company data: - github_org: - - 27521938 # didi + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 27521938 + name: didi diff --git a/labeled_data/companies/docker/index.yml b/labeled_data/companies/docker/index.yml index 5ec7419bc..55319e779 100644 --- a/labeled_data/companies/docker/index.yml +++ b/labeled_data/companies/docker/index.yml @@ -1,6 +1,11 @@ name: Docker type: Company data: - github_org: - - 5429470 # org:docker - - 27259197 # org:moby + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 5429470 + name: docker + - id: 27259197 + name: moby diff --git a/labeled_data/companies/douban/index.yml b/labeled_data/companies/douban/index.yml index ae1bee585..82cede929 100644 --- a/labeled_data/companies/douban/index.yml +++ b/labeled_data/companies/douban/index.yml @@ -1,5 +1,9 @@ name: Douban type: Company data: - github_org: - - 1220164 # douban + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1220164 + name: douban diff --git a/labeled_data/companies/easycorp/index.yml b/labeled_data/companies/easycorp/index.yml index 4b1077060..029762135 100644 --- a/labeled_data/companies/easycorp/index.yml +++ b/labeled_data/companies/easycorp/index.yml @@ -1,5 +1,9 @@ name: EasyCorp type: Company data: - github_org: - - 237078 # org:easysoft + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 237078 + name: easysoft diff --git a/labeled_data/companies/elastic/index.yml b/labeled_data/companies/elastic/index.yml index e48552226..17334dcbd 100644 --- a/labeled_data/companies/elastic/index.yml +++ b/labeled_data/companies/elastic/index.yml @@ -1,5 +1,9 @@ name: Elastic type: Company data: - github_org: - - 6764390 # org:elastic + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 6764390 + name: elastic diff --git a/labeled_data/companies/emq/index.yml b/labeled_data/companies/emq/index.yml index 9206519f5..03224cde5 100644 --- a/labeled_data/companies/emq/index.yml +++ b/labeled_data/companies/emq/index.yml @@ -1,6 +1,11 @@ name: EMQ type: Company data: - github_org: - - 25221711 # org:emqx - - 69663318 # org:hstreamdb + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 25221711 + name: emqx + - id: 69663318 + name: hstreamdb diff --git a/labeled_data/companies/enterprisedb/index.yml b/labeled_data/companies/enterprisedb/index.yml index 24290fb9c..77a5423db 100644 --- a/labeled_data/companies/enterprisedb/index.yml +++ b/labeled_data/companies/enterprisedb/index.yml @@ -1,5 +1,9 @@ name: EnterpriseDB type: Company data: - github_org: - - 177543 # org:postgres + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 177543 + name: postgres diff --git a/labeled_data/companies/espressif/index.yml b/labeled_data/companies/espressif/index.yml index 0365b21db..3d176d592 100644 --- a/labeled_data/companies/espressif/index.yml +++ b/labeled_data/companies/espressif/index.yml @@ -1,5 +1,9 @@ name: ESPRESSIF type: Company data: - github_org: - - 9460735 # org:espressif + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 9460735 + name: espressif diff --git a/labeled_data/companies/explosionai/index.yml b/labeled_data/companies/explosionai/index.yml index 3de0ba101..f72f99ec8 100644 --- a/labeled_data/companies/explosionai/index.yml +++ b/labeled_data/companies/explosionai/index.yml @@ -1,5 +1,9 @@ name: Explosion AI type: Company data: - github_org: - - 20011530 # org:explosion + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 20011530 + name: explosion diff --git a/labeled_data/companies/fastly/index.yml b/labeled_data/companies/fastly/index.yml index c58b1bbce..4aab83bce 100644 --- a/labeled_data/companies/fastly/index.yml +++ b/labeled_data/companies/fastly/index.yml @@ -1,5 +1,9 @@ name: Fastly type: Company data: - github_org: - - 777070 # org:fastly + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 777070 + name: fastly diff --git a/labeled_data/companies/fit2cloud/index.yml b/labeled_data/companies/fit2cloud/index.yml index 87d4016ae..4918fdf0a 100644 --- a/labeled_data/companies/fit2cloud/index.yml +++ b/labeled_data/companies/fit2cloud/index.yml @@ -1,10 +1,19 @@ name: Fit2Cloud type: Company data: - github_org: - - 6006570 # org:jumpserver - - 56869043 # org:metersphere - - 75054108 # org:dataease - - 48195280 # org:halo-dev - - 52770786 # org:KubeOperator - - 109613420 #org:1Panel-dev + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 6006570 + name: jumpserver + - id: 56869043 + name: metersphere + - id: 75054108 + name: dataease + - id: 48195280 + name: halo-dev + - id: 52770786 + name: KubeOperator + - id: 109613420 + name: 1Panel-dev diff --git a/labeled_data/companies/fmsoft/index.yml b/labeled_data/companies/fmsoft/index.yml index d519d48d5..9d40d5a22 100644 --- a/labeled_data/companies/fmsoft/index.yml +++ b/labeled_data/companies/fmsoft/index.yml @@ -1,7 +1,12 @@ name: FM Soft type: Company data: - github_org: - - 45352644 # org:FMSoftCN - github_repo: - - 92706019 # repo:VincentWei/MiniGUI + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 92706019 + name: VincentWei/MiniGUI + orgs: + - id: 45352644 + name: FMSoftCN diff --git a/labeled_data/companies/forgerock/index.yml b/labeled_data/companies/forgerock/index.yml index 4467c6799..8c5127a37 100644 --- a/labeled_data/companies/forgerock/index.yml +++ b/labeled_data/companies/forgerock/index.yml @@ -1,5 +1,9 @@ name: ForgeRock type: Company data: - github_org: - - 8464100 # org:OpenRock + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 8464100 + name: OpenRock diff --git a/labeled_data/companies/fuzhi/index.yml b/labeled_data/companies/fuzhi/index.yml index c65c206ce..a19b1cfa5 100644 --- a/labeled_data/companies/fuzhi/index.yml +++ b/labeled_data/companies/fuzhi/index.yml @@ -1,5 +1,9 @@ name: Shendu Fuzhi type: Company data: - github_org: - - 57169967 # org:DeepWisdom + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 57169967 + name: DeepWisdom diff --git a/labeled_data/companies/gaas/index.yml b/labeled_data/companies/gaas/index.yml index 6e4cc7a2b..fde80406a 100644 --- a/labeled_data/companies/gaas/index.yml +++ b/labeled_data/companies/gaas/index.yml @@ -1,5 +1,9 @@ name: GAAS type: Company data: - github_org: - - 47132835 # org:generalized-intelligence + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 47132835 + name: generalized-intelligence diff --git a/labeled_data/companies/galaxy_future/index.yml b/labeled_data/companies/galaxy_future/index.yml index 86d306fa3..02cb2cf27 100644 --- a/labeled_data/companies/galaxy_future/index.yml +++ b/labeled_data/companies/galaxy_future/index.yml @@ -1,5 +1,9 @@ name: Galaxy Future type: Company data: - github_org: - - 87167108 # org:galaxy-future + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 87167108 + name: galaxy-future diff --git a/labeled_data/companies/goodrain/index.yml b/labeled_data/companies/goodrain/index.yml index 65c1d672c..6beb90e38 100644 --- a/labeled_data/companies/goodrain/index.yml +++ b/labeled_data/companies/goodrain/index.yml @@ -1,5 +1,9 @@ name: Goodrain type: Company data: - github_org: - - 10627562 # org:goodrain + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 10627562 + name: goodrain diff --git a/labeled_data/companies/google/index.yml b/labeled_data/companies/google/index.yml index 73d151740..a79d17f41 100644 --- a/labeled_data/companies/google/index.yml +++ b/labeled_data/companies/google/index.yml @@ -1,21 +1,40 @@ name: Google type: Company data: - github_repo: - - 20580498 # repo:kubernetes/kubernetes - - 118828329 # repo:knative/serving - - 124951822 # repo:knative/eventing - - 82210080 # repo:forseti-security/forseti-security - - 23096959 # repo:golang/go - - 50904245 # repo:apache/beam - - 20773773 # repo:bazelbuild/bazel - github_org: - - 1342004 # org:google - - 15658638 # org:tensorflow - - 23534644 # org:istio - - 14101776 # org:flutter - - 1335026 # org:firebase - - 139426 # org:angular - - 1609975 # org:dart-lang - - 33164907 # org:kubeflow - - 43830688 # org:google-research + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 20580498 + name: kubernetes/kubernetes + - id: 118828329 + name: knative/serving + - id: 124951822 + name: knative/eventing + - id: 82210080 + name: forseti-security/forseti-security + - id: 23096959 + name: golang/go + - id: 50904245 + name: apache/beam + - id: 20773773 + name: bazelbuild/bazel + orgs: + - id: 1342004 + name: google + - id: 15658638 + name: tensorflow + - id: 23534644 + name: istio + - id: 14101776 + name: flutter + - id: 1335026 + name: firebase + - id: 139426 + name: angular + - id: 1609975 + name: dart-lang + - id: 33164907 + name: kubeflow + - id: 43830688 + name: google-research diff --git a/labeled_data/companies/greatdb/index.yml b/labeled_data/companies/greatdb/index.yml new file mode 100644 index 000000000..497297f64 --- /dev/null +++ b/labeled_data/companies/greatdb/index.yml @@ -0,0 +1,9 @@ +name: GreateDB +type: Company +data: + platforms: + - name: Gitee + type: Code Hosting + orgs: + - id: 7415847 + name: GreatSQL diff --git a/labeled_data/companies/guojusoft/index.yml b/labeled_data/companies/guojusoft/index.yml index f1116f657..e79754911 100644 --- a/labeled_data/companies/guojusoft/index.yml +++ b/labeled_data/companies/guojusoft/index.yml @@ -1,5 +1,9 @@ name: Guojusoft type: Company data: - github_org: - - 86360035 # org:jeecgboot + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 86360035 + name: jeecgboot diff --git a/labeled_data/companies/h2oai/index.yml b/labeled_data/companies/h2oai/index.yml index 16c2f28f7..3fc0b6427 100644 --- a/labeled_data/companies/h2oai/index.yml +++ b/labeled_data/companies/h2oai/index.yml @@ -1,5 +1,9 @@ name: H2O AI type: Company data: - github_org: - - 1402695 # org:h2oai + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1402695 + name: h2oai diff --git a/labeled_data/companies/hashicorp/index.yml b/labeled_data/companies/hashicorp/index.yml index d0bc6b491..5757b39dc 100644 --- a/labeled_data/companies/hashicorp/index.yml +++ b/labeled_data/companies/hashicorp/index.yml @@ -1,5 +1,9 @@ name: HashiCorp type: Company data: - github_org: - - 761456 # org:hashicorp + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 761456 + name: hashicorp diff --git a/labeled_data/companies/huawei/index.yml b/labeled_data/companies/huawei/index.yml index b30bb325d..07daeff11 100644 --- a/labeled_data/companies/huawei/index.yml +++ b/labeled_data/companies/huawei/index.yml @@ -1,14 +1,44 @@ name: Huawei type: Company data: - label: + labels: - service_comb - github_org: - - 20315766 # org:Huawei - - 6876878 # org:huawei-cloudnative - - 36578213 # org:huaweicloud - - 41812520 # org:kubeedge - - 41812465 # org:kubegene - - 22132015 # org:LiteOS - - 12619994 # org:huawei-noah - - 54143604 # org:mindspore-ai + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 20315766 + name: Huawei + - id: 6876878 + name: huawei-cloudnative + - id: 36578213 + name: huaweicloud + - id: 41812520 + name: kubeedge + - id: 41812465 + name: kubegene + - id: 22132015 + name: LiteOS + - id: 12619994 + name: huawei-noah + - id: 54143604 + name: mindspore-ai + - name: Gitee + type: Code Hosting + orgs: + - id: 6486504 + name: openharmony + - id: 5161228 + name: openeuler + - id: 5460189 + name: src-openeuler + - id: 6854763 + name: mindspore + - id: 5549555 + name: opengauss + - id: 6495130 + name: openharmony-sig + - id: 8739348 + name: HarmonyOS-tpc + - id: 5393926 + name: LiteOS diff --git a/labeled_data/companies/huawei/service_comb.yml b/labeled_data/companies/huawei/service_comb.yml index 8dd3bb677..47745579a 100644 --- a/labeled_data/companies/huawei/service_comb.yml +++ b/labeled_data/companies/huawei/service_comb.yml @@ -1,7 +1,13 @@ name: Apache ServiceComb type: Project data: - github_repo: - - 97573661 # apache/servicecomb-pack - - 91674936 # apache/servicecomb-java-chassis - - 91677514 # apache/servicecomb-service-center + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 97573661 + name: apache/servicecomb-pack + - id: 91674936 + name: apache/servicecomb-java-chassis + - id: 91677514 + name: apache/servicecomb-service-center diff --git a/labeled_data/companies/ibm/index.yml b/labeled_data/companies/ibm/index.yml index cc86c20de..d0e878c00 100644 --- a/labeled_data/companies/ibm/index.yml +++ b/labeled_data/companies/ibm/index.yml @@ -1,18 +1,32 @@ name: IBM type: Company data: - github_repo: - - 145761123 # repo:Trusted-AI/AIF360 - - 101408117 # repo:eclipse-openj9/openj9 - - 52039373 # repo:apache/openwhisk - - 66573241 # repo:hyperledger/fabric - - github_org: - - 1459110 # org:IBM - - 19577732 # org:IBMa - - 17178768 # org:IBM-Blockchain - - 5375661 # org:node-red - - 13631156 # org:CODAIT - - 25179978 # org:carbon-design-system - - 30696987 # org:Qiskit - - 22173486 # org:loopbackio + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 145761123 + name: Trusted-AI/AIF360 + - id: 101408117 + name: eclipse-openj9/openj9 + - id: 52039373 + name: apache/openwhisk + - id: 66573241 + name: hyperledger/fabric + orgs: + - id: 1459110 + name: IBM + - id: 19577732 + name: IBMa + - id: 17178768 + name: IBM-Blockchain + - id: 5375661 + name: node-red + - id: 13631156 + name: CODAIT + - id: 25179978 + name: carbon-design-system + - id: 30696987 + name: Qiskit + - id: 22173486 + name: loopbackio diff --git a/labeled_data/companies/instructure/index.yml b/labeled_data/companies/instructure/index.yml index 0312a2ce0..f6baea797 100644 --- a/labeled_data/companies/instructure/index.yml +++ b/labeled_data/companies/instructure/index.yml @@ -1,5 +1,9 @@ name: Instructure type: Company data: - github_org: - - 515326 # org:instructure + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 515326 + name: instructure diff --git a/labeled_data/companies/intel/index.yml b/labeled_data/companies/intel/index.yml index 3752b743a..2e5e574a2 100644 --- a/labeled_data/companies/intel/index.yml +++ b/labeled_data/companies/intel/index.yml @@ -1,8 +1,15 @@ name: Intel type: Company data: - github_org: - - 17888862 # org:intel - - 1492758 # org:IntelLabs - - 55443902 # org:openvinotoolkit - - 10180421 # org:nwjs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 17888862 + name: intel + - id: 1492758 + name: IntelLabs + - id: 55443902 + name: openvinotoolkit + - id: 10180421 + name: nwjs diff --git a/labeled_data/companies/iqiyi/index.yml b/labeled_data/companies/iqiyi/index.yml index 38cd29775..3eba655af 100644 --- a/labeled_data/companies/iqiyi/index.yml +++ b/labeled_data/companies/iqiyi/index.yml @@ -1,5 +1,9 @@ name: iQiyi type: Company data: - github_org: - - 32627384 # org:iqiyi + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 32627384 + name: iqiyi diff --git a/labeled_data/companies/jd/index.yml b/labeled_data/companies/jd/index.yml index cd0d9ca00..0d402e65c 100644 --- a/labeled_data/companies/jd/index.yml +++ b/labeled_data/companies/jd/index.yml @@ -1,8 +1,15 @@ name: JD type: Company data: - github_org: - - 39963175 # org:areslabs - - 30794937 # org:NervJS - - 22739181 # org:jdf2e - - 48896635 # org:blockchain-jd-com + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 39963175 + name: areslabs + - id: 30794937 + name: NervJS + - id: 22739181 + name: jdf2e + - id: 48896635 + name: blockchain-jd-com diff --git a/labeled_data/companies/jetbrains/index.yml b/labeled_data/companies/jetbrains/index.yml index 855b1e1a8..a4855e2d6 100644 --- a/labeled_data/companies/jetbrains/index.yml +++ b/labeled_data/companies/jetbrains/index.yml @@ -1,5 +1,9 @@ name: JetBrains type: Company data: - github_org: - - 878437 # org:JetBrains + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 878437 + name: JetBrains diff --git a/labeled_data/companies/jfrog/index.yml b/labeled_data/companies/jfrog/index.yml index ce0b2b5b8..36e578ccc 100644 --- a/labeled_data/companies/jfrog/index.yml +++ b/labeled_data/companies/jfrog/index.yml @@ -1,5 +1,9 @@ name: JFrog type: Company data: - github_org: - - 499942 # org:jfrog + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 499942 + name: jfrog diff --git a/labeled_data/companies/jina_ai/index.yml b/labeled_data/companies/jina_ai/index.yml index 4fe219423..9a28800a0 100644 --- a/labeled_data/companies/jina_ai/index.yml +++ b/labeled_data/companies/jina_ai/index.yml @@ -1,5 +1,9 @@ name: Jina AI type: Company data: - github_org: - - 60539444 # org:jina-ai + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 60539444 + name: jina-ai diff --git a/labeled_data/companies/juejin/index.yml b/labeled_data/companies/juejin/index.yml index 74bc69ef7..6e54018ac 100644 --- a/labeled_data/companies/juejin/index.yml +++ b/labeled_data/companies/juejin/index.yml @@ -1,5 +1,9 @@ name: Juejin type: Company data: - github_org: - - 10482599 # xitu + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 10482599 + name: xitu diff --git a/labeled_data/companies/juicedata/index.yml b/labeled_data/companies/juicedata/index.yml index 9e800ab5c..91a63cda3 100644 --- a/labeled_data/companies/juicedata/index.yml +++ b/labeled_data/companies/juicedata/index.yml @@ -1,5 +1,9 @@ name: JuiceData type: Company data: - github_org: - - 27241737 # org:juicedata + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 27241737 + name: juicedata diff --git a/labeled_data/companies/kaltura/index.yml b/labeled_data/companies/kaltura/index.yml index c56f16b45..1adef69ba 100644 --- a/labeled_data/companies/kaltura/index.yml +++ b/labeled_data/companies/kaltura/index.yml @@ -1,5 +1,9 @@ name: Kaltura type: Company data: - github_org: - - 319096 # org:kaltura + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 319096 + name: kaltura diff --git a/labeled_data/companies/koderover/index.yml b/labeled_data/companies/koderover/index.yml index e77e2ec9b..04327799c 100644 --- a/labeled_data/companies/koderover/index.yml +++ b/labeled_data/companies/koderover/index.yml @@ -1,5 +1,9 @@ name: KodeRover type: Company data: - github_org: - - 59965645 # org:koderover + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 59965645 + name: koderover diff --git a/labeled_data/companies/kyligence/index.yml b/labeled_data/companies/kyligence/index.yml index 0e0ad0726..4ca8bc587 100644 --- a/labeled_data/companies/kyligence/index.yml +++ b/labeled_data/companies/kyligence/index.yml @@ -1,5 +1,9 @@ name: Kyligence type: Company data: - github_repo: - - 28738447 # repo:apache/kylin + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 28738447 + name: apache/kylin diff --git a/labeled_data/companies/liferay/index.yml b/labeled_data/companies/liferay/index.yml index c059cb436..153926a6a 100644 --- a/labeled_data/companies/liferay/index.yml +++ b/labeled_data/companies/liferay/index.yml @@ -1,5 +1,9 @@ name: Liferay type: Company data: - github_org: - - 131436 # org:liferay + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 131436 + name: liferay diff --git a/labeled_data/companies/linux_china/index.yml b/labeled_data/companies/linux_china/index.yml index 2406f2329..55f91cc78 100644 --- a/labeled_data/companies/linux_china/index.yml +++ b/labeled_data/companies/linux_china/index.yml @@ -1,5 +1,9 @@ name: Linux China type: Company data: - github_org: - - 5432002 # LCTT + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 5432002 + name: LCTT diff --git a/labeled_data/companies/longboat/index.yml b/labeled_data/companies/longboat/index.yml index 8d4e10aab..0c1df8280 100644 --- a/labeled_data/companies/longboat/index.yml +++ b/labeled_data/companies/longboat/index.yml @@ -1,5 +1,9 @@ name: Longboat type: Company data: - github_org: - - 7727781 # org:Longboat + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 7727781 + name: Longboat diff --git a/labeled_data/companies/magento/index.yml b/labeled_data/companies/magento/index.yml index 67398bd40..084a1bd0b 100644 --- a/labeled_data/companies/magento/index.yml +++ b/labeled_data/companies/magento/index.yml @@ -1,5 +1,9 @@ name: Magento type: Company data: - github_org: - - 168457 # org:magento + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 168457 + name: magento diff --git a/labeled_data/companies/mapbox/index.yml b/labeled_data/companies/mapbox/index.yml index f02efe69c..a623b91ce 100644 --- a/labeled_data/companies/mapbox/index.yml +++ b/labeled_data/companies/mapbox/index.yml @@ -1,5 +1,9 @@ name: Mapbox type: Company data: - github_org: - - 600935 # org:mapbox + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 600935 + name: mapbox diff --git a/labeled_data/companies/matrix_origin/index.yml b/labeled_data/companies/matrix_origin/index.yml index 51b70719d..e08824e63 100644 --- a/labeled_data/companies/matrix_origin/index.yml +++ b/labeled_data/companies/matrix_origin/index.yml @@ -1,5 +1,9 @@ name: Matrix Origin type: Company data: - github_org: - - 76932962 # org:matrixorigin + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 76932962 + name: matrixorigin diff --git a/labeled_data/companies/megvii/index.yml b/labeled_data/companies/megvii/index.yml index 1ed28ff48..dbc32cd1e 100644 --- a/labeled_data/companies/megvii/index.yml +++ b/labeled_data/companies/megvii/index.yml @@ -1,5 +1,9 @@ name: Megvii type: Company data: - github_org: - - 61609124 # org:MegEngine + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 61609124 + name: MegEngine diff --git a/labeled_data/companies/meituan/index.yml b/labeled_data/companies/meituan/index.yml index 2dfdfcc09..9f97fbd19 100644 --- a/labeled_data/companies/meituan/index.yml +++ b/labeled_data/companies/meituan/index.yml @@ -1,7 +1,13 @@ name: Meituan type: Company data: - github_org: - - 977371 # meituan - - 20238146 # Meituan-Dianping - - 1539555 # dianping + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 977371 + name: meituan + - id: 20238146 + name: Meituan-Dianping + - id: 1539555 + name: dianping diff --git a/labeled_data/companies/merico/index.yml b/labeled_data/companies/merico/index.yml index ecd8529e8..7253e432f 100644 --- a/labeled_data/companies/merico/index.yml +++ b/labeled_data/companies/merico/index.yml @@ -1,6 +1,11 @@ name: Merico type: Company data: - github_org: - - 48216022 # merico-dev - - 94812175 # devstream-io + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 48216022 + name: merico-dev + - id: 94812175 + name: devstream-io diff --git a/labeled_data/companies/meta/index.yml b/labeled_data/companies/meta/index.yml index 557f18e4e..3ced1cbcb 100644 --- a/labeled_data/companies/meta/index.yml +++ b/labeled_data/companies/meta/index.yml @@ -1,11 +1,21 @@ name: Meta type: Company data: - github_org: - - 69631 # org:facebook - - 16943930 # org:facebookresearch - - 21003710 # org:pytorch - - 12853545 # org:facebookexperimental - - 1541324 # org:fbsamples - - 549085 # org:Instagram - - 19538647 # org:facebookincubator + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 69631 + name: facebook + - id: 16943930 + name: facebookresearch + - id: 21003710 + name: pytorch + - id: 12853545 + name: facebookexperimental + - id: 1541324 + name: fbsamples + - id: 549085 + name: Instagram + - id: 19538647 + name: facebookincubator diff --git a/labeled_data/companies/microsoft/index.yml b/labeled_data/companies/microsoft/index.yml index 115eb0ba6..8613e183e 100644 --- a/labeled_data/companies/microsoft/index.yml +++ b/labeled_data/companies/microsoft/index.yml @@ -1,10 +1,19 @@ name: Microsoft type: Company data: - github_org: - - 6154722 # org:microsoft - - 9141961 # org:dotnet - - 27453006 # org:dotnet-architecture - - 11524380 # org:PowerShell - - 27173223 # org:interpretml - - 6844498 # org:Azure + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 6154722 + name: microsoft + - id: 9141961 + name: dotnet + - id: 27453006 + name: dotnet-architecture + - id: 11524380 + name: PowerShell + - id: 27173223 + name: interpretml + - id: 6844498 + name: Azure diff --git a/labeled_data/companies/mongodb/index.yml b/labeled_data/companies/mongodb/index.yml index 2d2e8acec..bcfa7822d 100644 --- a/labeled_data/companies/mongodb/index.yml +++ b/labeled_data/companies/mongodb/index.yml @@ -1,5 +1,9 @@ name: MongoDB type: Company data: - github_org: - - 45120 # org:mongodb + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 45120 + name: mongodb diff --git a/labeled_data/companies/mozilla/index.yml b/labeled_data/companies/mozilla/index.yml index 8e767c375..06e4e517c 100644 --- a/labeled_data/companies/mozilla/index.yml +++ b/labeled_data/companies/mozilla/index.yml @@ -1,6 +1,11 @@ name: Mozilla type: Company data: - github_org: - - 131524 # org:mozilla - - 22351667 # org:mozilla-mobile + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 131524 + name: mozilla + - id: 22351667 + name: mozilla-mobile diff --git a/labeled_data/companies/mulesoft/index.yml b/labeled_data/companies/mulesoft/index.yml index 62093f764..89b7fea78 100644 --- a/labeled_data/companies/mulesoft/index.yml +++ b/labeled_data/companies/mulesoft/index.yml @@ -1,5 +1,9 @@ name: Mulesoft type: Company data: - github_org: - - 185740 # org:mulesoft + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 185740 + name: mulesoft diff --git a/labeled_data/companies/mycroftai/index.yml b/labeled_data/companies/mycroftai/index.yml index 9df6e8315..98e962b45 100644 --- a/labeled_data/companies/mycroftai/index.yml +++ b/labeled_data/companies/mycroftai/index.yml @@ -1,5 +1,9 @@ name: MycroftAI type: Company data: - github_org: - - 14171097 # org:MycroftAI + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 14171097 + name: MycroftAI diff --git a/labeled_data/companies/neo4j/index.yml b/labeled_data/companies/neo4j/index.yml index 657b6281a..dcc3e824e 100644 --- a/labeled_data/companies/neo4j/index.yml +++ b/labeled_data/companies/neo4j/index.yml @@ -1,7 +1,13 @@ name: Neo4j type: Company data: - github_org: - - 201120 # org:neo4j - - 218965 # org:neo4j-examples - - 916372 # org:neo4j-contrib + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 201120 + name: neo4j + - id: 218965 + name: neo4j-examples + - id: 916372 + name: neo4j-contrib diff --git a/labeled_data/companies/netease/index.yml b/labeled_data/companies/netease/index.yml index 1845555b6..2a4aee939 100644 --- a/labeled_data/companies/netease/index.yml +++ b/labeled_data/companies/netease/index.yml @@ -1,8 +1,15 @@ name: Netease type: Company data: - github_org: - - 1460597 # NetEase - - 14069894 # netease-im - - 34292813 # AirtestProject - - 21099191 # 163yun + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1460597 + name: NetEase + - id: 14069894 + name: netease-im + - id: 34292813 + name: AirtestProject + - id: 21099191 + name: 163yun diff --git a/labeled_data/companies/netflix/index.yml b/labeled_data/companies/netflix/index.yml index 55ac6c131..d1f1299fb 100644 --- a/labeled_data/companies/netflix/index.yml +++ b/labeled_data/companies/netflix/index.yml @@ -1,11 +1,20 @@ name: Netflix type: Company data: - github_repo: - - 1661758 # repo:restify/node-restify - - 7508411 # repo:ReactiveX/RxJava - github_org: - - 913567 # org:Netflix - - 5993162 # org:nebula-plugins - - 1728142 # org:Netflix-Skunkworks - - 7634182 # org:spinnaker + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 1661758 + name: restify/node-restify + - id: 7508411 + name: ReactiveX/RxJava + orgs: + - id: 913567 + name: Netflix + - id: 5993162 + name: nebula-plugins + - id: 1728142 + name: Netflix-Skunkworks + - id: 7634182 + name: spinnaker diff --git a/labeled_data/companies/netlify/index.yml b/labeled_data/companies/netlify/index.yml index ae854a3f6..1de96fa8d 100644 --- a/labeled_data/companies/netlify/index.yml +++ b/labeled_data/companies/netlify/index.yml @@ -1,6 +1,11 @@ name: Netlify type: Company data: - github_org: - - 7892489 # org:netlify - - 79226042 # org:solidjs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 7892489 + name: netlify + - id: 79226042 + name: solidjs diff --git a/labeled_data/companies/nicira/index.yml b/labeled_data/companies/nicira/index.yml index 6d9de3008..7ed29f8a0 100644 --- a/labeled_data/companies/nicira/index.yml +++ b/labeled_data/companies/nicira/index.yml @@ -1,5 +1,9 @@ name: Nicira type: Company data: - github_org: - - 7143863 # org:openvswitch + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 7143863 + name: openvswitch diff --git a/labeled_data/companies/nvidia/index.yml b/labeled_data/companies/nvidia/index.yml index 2b0378230..b609d2cb0 100644 --- a/labeled_data/companies/nvidia/index.yml +++ b/labeled_data/companies/nvidia/index.yml @@ -1,7 +1,13 @@ name: NVIDIA type: Company data: - github_org: - - 1728152 # org:NVIDIA - - 7717624 # org:NVIDIAGameWorks - - 2695301 # org:NVlabs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1728152 + name: NVIDIA + - id: 7717624 + name: NVIDIAGameWorks + - id: 2695301 + name: NVlabs diff --git a/labeled_data/companies/odoo/index.yml b/labeled_data/companies/odoo/index.yml index e6f012383..813199405 100644 --- a/labeled_data/companies/odoo/index.yml +++ b/labeled_data/companies/odoo/index.yml @@ -1,5 +1,9 @@ name: Odoo type: Company data: - github_org: - - 6368483 # org:odoo + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 6368483 + name: odoo diff --git a/labeled_data/companies/oneflow/index.yml b/labeled_data/companies/oneflow/index.yml index 845e66edb..029170e0d 100644 --- a/labeled_data/companies/oneflow/index.yml +++ b/labeled_data/companies/oneflow/index.yml @@ -1,5 +1,9 @@ name: Oneflow type: Company data: - github_org: - - 24632470 # org:Oneflow-Inc + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 24632470 + name: Oneflow-Inc diff --git a/labeled_data/companies/openai/index.yml b/labeled_data/companies/openai/index.yml index 6727344aa..49dffb622 100644 --- a/labeled_data/companies/openai/index.yml +++ b/labeled_data/companies/openai/index.yml @@ -1,5 +1,9 @@ name: OpenAI type: Company data: - github_org: - - 14957082 # org:openai + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 14957082 + name: openai diff --git a/labeled_data/companies/openresty/index.yml b/labeled_data/companies/openresty/index.yml index 3757b569b..32b0e9ba9 100644 --- a/labeled_data/companies/openresty/index.yml +++ b/labeled_data/companies/openresty/index.yml @@ -1,5 +1,9 @@ name: OpenResty type: Company data: - github_org: - - 7390180 # org:openresty + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 7390180 + name: openresty diff --git a/labeled_data/companies/oracle/index.yml b/labeled_data/companies/oracle/index.yml index e89968005..f4834592c 100644 --- a/labeled_data/companies/oracle/index.yml +++ b/labeled_data/companies/oracle/index.yml @@ -1,13 +1,25 @@ name: Oracle type: Company data: - github_org: - - 4430336 # org:oracle - - 41768318 # org:openjdk - - 2452804 # org:mysql - - 30273834 # org:fnproject - - 765943 # org:apiaryio - - 10176827 # org:graalvm - - 23086798 # org:javaee - - 1084880 # org:dyninc - - 44307903 # org:oracle-terraform-modules + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 4430336 + name: oracle + - id: 41768318 + name: openjdk + - id: 2452804 + name: mysql + - id: 30273834 + name: fnproject + - id: 765943 + name: apiaryio + - id: 10176827 + name: graalvm + - id: 23086798 + name: javaee + - id: 1084880 + name: dyninc + - id: 44307903 + name: oracle-terraform-modules diff --git a/labeled_data/companies/oushu/index.yml b/labeled_data/companies/oushu/index.yml index 97f779021..1a74c432a 100644 --- a/labeled_data/companies/oushu/index.yml +++ b/labeled_data/companies/oushu/index.yml @@ -1,5 +1,9 @@ name: Oushu type: Company data: - github_repo: - - 41952293 # repo:apache/hawq + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 41952293 + name: apache/hawq diff --git a/labeled_data/companies/paypal/index.yml b/labeled_data/companies/paypal/index.yml index 1f9651fc9..bd9af6074 100644 --- a/labeled_data/companies/paypal/index.yml +++ b/labeled_data/companies/paypal/index.yml @@ -1,7 +1,13 @@ name: PayPal type: Company data: - github_org: - - 476675 # org:paypal - - 7001600 # org:krakenjs - - 1517544 # org:card-io + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 476675 + name: paypal + - id: 7001600 + name: krakenjs + - id: 1517544 + name: card-io diff --git a/labeled_data/companies/pentaho/index.yml b/labeled_data/companies/pentaho/index.yml index 525eeaab3..1cf4ac96e 100644 --- a/labeled_data/companies/pentaho/index.yml +++ b/labeled_data/companies/pentaho/index.yml @@ -1,5 +1,9 @@ name: Pentaho type: Company data: - github_org: - - 1022787 # org:pentaho + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1022787 + name: pentaho diff --git a/labeled_data/companies/pingcap/index.yml b/labeled_data/companies/pingcap/index.yml index 5fa829cba..aaf15c27d 100644 --- a/labeled_data/companies/pingcap/index.yml +++ b/labeled_data/companies/pingcap/index.yml @@ -1,6 +1,11 @@ name: PingCAP type: Company data: - github_org: - - 11855343 # pingcap - - 41004122 # tikv + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 11855343 + name: pingcap + - id: 41004122 + name: tikv diff --git a/labeled_data/companies/pivotal/index.yml b/labeled_data/companies/pivotal/index.yml index 0b32d0496..5d4394667 100644 --- a/labeled_data/companies/pivotal/index.yml +++ b/labeled_data/companies/pivotal/index.yml @@ -1,5 +1,9 @@ name: Pivotal type: Company data: - github_org: - - 621746 # org:cloudfoundry + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 621746 + name: cloudfoundry diff --git a/labeled_data/companies/postman/index.yml b/labeled_data/companies/postman/index.yml index f17f9b34e..944a32d55 100644 --- a/labeled_data/companies/postman/index.yml +++ b/labeled_data/companies/postman/index.yml @@ -1,5 +1,9 @@ name: Postman type: Company data: - github_org: - - 10251060 # org:postmanlabs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 10251060 + name: postmanlabs diff --git a/labeled_data/companies/primihub/index.yml b/labeled_data/companies/primihub/index.yml index 6336d4fa8..251f1f252 100644 --- a/labeled_data/companies/primihub/index.yml +++ b/labeled_data/companies/primihub/index.yml @@ -1,5 +1,9 @@ name: Primitiv Hub type: Company data: - github_org: - - 101538790 # primihub + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 101538790 + name: primihub diff --git a/labeled_data/companies/puppet_labs/index.yml b/labeled_data/companies/puppet_labs/index.yml index 6a45fea29..d609657a6 100644 --- a/labeled_data/companies/puppet_labs/index.yml +++ b/labeled_data/companies/puppet_labs/index.yml @@ -1,5 +1,9 @@ name: Puppet Labs type: Company data: - github_org: - - 234268 # org:puppetlabs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 234268 + name: puppetlabs diff --git a/labeled_data/companies/qingcloud/index.yml b/labeled_data/companies/qingcloud/index.yml index 9c9ec4eeb..285c3fb55 100644 --- a/labeled_data/companies/qingcloud/index.yml +++ b/labeled_data/companies/qingcloud/index.yml @@ -1,12 +1,23 @@ name: QingCloud type: Company data: - github_org: - - 37326490 # kubesphere - - 76039936 # kubesphere-sigs - - 75520609 # openfunction - - 5484381 # yunify - - 86996287 # OpenELB - - 31385114 # radondb - - 28995775 # QingCloudAppcenter - - 90166053 # quanxiang-cloud + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 37326490 + name: kubesphere + - id: 76039936 + name: kubesphere-sigs + - id: 75520609 + name: openfunction + - id: 5484381 + name: yunify + - id: 86996287 + name: OpenELB + - id: 31385114 + name: radondb + - id: 28995775 + name: QingCloudAppcenter + - id: 90166053 + name: quanxiang-cloud diff --git a/labeled_data/companies/qunar/index.yml b/labeled_data/companies/qunar/index.yml index a025c27a9..2742702c9 100644 --- a/labeled_data/companies/qunar/index.yml +++ b/labeled_data/companies/qunar/index.yml @@ -1,5 +1,9 @@ name: Qunar type: Company data: - github_org: - - 43158242 # qunarcorp + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 43158242 + name: qunarcorp diff --git a/labeled_data/companies/rapid7/index.yml b/labeled_data/companies/rapid7/index.yml index 12a0535e3..46752bd72 100644 --- a/labeled_data/companies/rapid7/index.yml +++ b/labeled_data/companies/rapid7/index.yml @@ -1,5 +1,9 @@ name: Rapid7 type: Company data: - github_org: - - 1013671 # org:rapid7 + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1013671 + name: rapid7 diff --git a/labeled_data/companies/rare/index.yml b/labeled_data/companies/rare/index.yml index 580a33bb9..9ee3498d9 100644 --- a/labeled_data/companies/rare/index.yml +++ b/labeled_data/companies/rare/index.yml @@ -1,5 +1,9 @@ name: RaRe Technologies type: Company data: - github_org: - - 12515886 # org:RaRe-Technologies + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 12515886 + name: RaRe-Technologies diff --git a/labeled_data/companies/redhat/index.yml b/labeled_data/companies/redhat/index.yml index 4097d365d..b2475f50a 100644 --- a/labeled_data/companies/redhat/index.yml +++ b/labeled_data/companies/redhat/index.yml @@ -1,5 +1,9 @@ name: RedHat type: Company data: - github_org: - - 33972111 # org:RedHatOfficial + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 33972111 + name: RedHatOfficial diff --git a/labeled_data/companies/redis/index.yml b/labeled_data/companies/redis/index.yml index f673e7af8..6922709fa 100644 --- a/labeled_data/companies/redis/index.yml +++ b/labeled_data/companies/redis/index.yml @@ -1,5 +1,9 @@ name: Redis Labs type: Company data: - github_org: - - 1529926 # org:redis + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1529926 + name: redis diff --git a/labeled_data/companies/rtthread/index.yml b/labeled_data/companies/rtthread/index.yml index 6be27baa7..434be043d 100644 --- a/labeled_data/companies/rtthread/index.yml +++ b/labeled_data/companies/rtthread/index.yml @@ -1,5 +1,9 @@ name: RT-Thread type: Company data: - github_org: - - 1783729 # org:RT-Thread + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1783729 + name: RT-Thread diff --git a/labeled_data/companies/salesforce/index.yml b/labeled_data/companies/salesforce/index.yml index a4a527e4b..9fc3a7405 100644 --- a/labeled_data/companies/salesforce/index.yml +++ b/labeled_data/companies/salesforce/index.yml @@ -1,10 +1,18 @@ name: Salesforce type: Company data: - github_repo: - - 7827081 # repo:apache/predictionio/ - github_org: - - 453694 # org:salesforce - - 35349060 # org:oclif - - 5579724 # org:raml-org - - 6142534 # org:datorama + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 7827081 + name: apache/predictionio/ + orgs: + - id: 453694 + name: salesforce + - id: 35349060 + name: oclif + - id: 5579724 + name: raml-org + - id: 6142534 + name: datorama diff --git a/labeled_data/companies/samsung/index.yml b/labeled_data/companies/samsung/index.yml index d2e229621..b8a6216e4 100644 --- a/labeled_data/companies/samsung/index.yml +++ b/labeled_data/companies/samsung/index.yml @@ -1,5 +1,9 @@ name: Samsung type: Company data: - github_org: - - 6210390 # org:Samsung + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 6210390 + name: Samsung diff --git a/labeled_data/companies/segment/index.yml b/labeled_data/companies/segment/index.yml index 7b7966f59..af2041eec 100644 --- a/labeled_data/companies/segment/index.yml +++ b/labeled_data/companies/segment/index.yml @@ -1,5 +1,9 @@ name: Segment type: Company data: - github_org: - - 819518 # org:segmentio + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 819518 + name: segmentio diff --git a/labeled_data/companies/sequoiadb/index.yml b/labeled_data/companies/sequoiadb/index.yml index a2425e1c3..be1bd5666 100644 --- a/labeled_data/companies/sequoiadb/index.yml +++ b/labeled_data/companies/sequoiadb/index.yml @@ -1,5 +1,9 @@ name: SequoiaDB type: Company data: - github_org: - - 6195592 # org:SequoiaDB + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 6195592 + name: SequoiaDB diff --git a/labeled_data/companies/sourcefire/index.yml b/labeled_data/companies/sourcefire/index.yml index 8d3517fa9..4b0fc7f11 100644 --- a/labeled_data/companies/sourcefire/index.yml +++ b/labeled_data/companies/sourcefire/index.yml @@ -1,5 +1,9 @@ name: Sourcefire type: Company data: - github_org: - - 38250620 # org:snort3 + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 38250620 + name: snort3 diff --git a/labeled_data/companies/sphereex/index.yml b/labeled_data/companies/sphereex/index.yml index a727d61c1..7449fe954 100644 --- a/labeled_data/companies/sphereex/index.yml +++ b/labeled_data/companies/sphereex/index.yml @@ -1,5 +1,9 @@ name: SphereEx type: Company data: - github_repo: - - 49876476 # repo:apache/shardingsphere + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 49876476 + name: apache/shardingsphere diff --git a/labeled_data/companies/starrocks/index.yml b/labeled_data/companies/starrocks/index.yml index f22681e13..c13b1d163 100644 --- a/labeled_data/companies/starrocks/index.yml +++ b/labeled_data/companies/starrocks/index.yml @@ -1,5 +1,9 @@ name: StarRocks type: Company data: - github_org: - - 88238841 # org:StarRocks + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 88238841 + name: StarRocks diff --git a/labeled_data/companies/stoneatom/index.yml b/labeled_data/companies/stoneatom/index.yml index 3039e5ed0..5acdfd59a 100644 --- a/labeled_data/companies/stoneatom/index.yml +++ b/labeled_data/companies/stoneatom/index.yml @@ -1,5 +1,5 @@ name: StoneAtom type: Company data: - label: + labels: - stonedb diff --git a/labeled_data/companies/stoneatom/stonedb.yml b/labeled_data/companies/stoneatom/stonedb.yml index 402b93e54..59d9c99b7 100644 --- a/labeled_data/companies/stoneatom/stonedb.yml +++ b/labeled_data/companies/stoneatom/stonedb.yml @@ -1,5 +1,9 @@ name: StoneDB type: Project data: - github_org: - - 105431101 # org:stoneatom + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 105431101 + name: stoneatom diff --git a/labeled_data/companies/streamnative/index.yml b/labeled_data/companies/streamnative/index.yml index 52fb21f9c..fa09fbbc6 100644 --- a/labeled_data/companies/streamnative/index.yml +++ b/labeled_data/companies/streamnative/index.yml @@ -1,5 +1,9 @@ name: StreamNative type: Company data: - github_repo: - - 62117812 # repo:apache/pulsar + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 62117812 + name: apache/pulsar diff --git a/labeled_data/companies/taichi/index.yml b/labeled_data/companies/taichi/index.yml index b062bfe35..85468e16a 100644 --- a/labeled_data/companies/taichi/index.yml +++ b/labeled_data/companies/taichi/index.yml @@ -1,5 +1,9 @@ name: Taichi type: Company data: - github_org: - - 33354891 # org:taichi-dev + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 33354891 + name: taichi-dev diff --git a/labeled_data/companies/talend/index.yml b/labeled_data/companies/talend/index.yml index 2f212ddb2..c05aeef95 100644 --- a/labeled_data/companies/talend/index.yml +++ b/labeled_data/companies/talend/index.yml @@ -1,5 +1,9 @@ name: Talend type: Company data: - github_org: - - 459687 # org:Talend + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 459687 + name: Talend diff --git a/labeled_data/companies/taos/index.yml b/labeled_data/companies/taos/index.yml index 77fc1637b..47b8526d0 100644 --- a/labeled_data/companies/taos/index.yml +++ b/labeled_data/companies/taos/index.yml @@ -1,5 +1,9 @@ name: TAOS Data type: Company data: - github_org: - - 48876650 # org:taosdata + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 48876650 + name: taosdata diff --git a/labeled_data/companies/tencent/index.yml b/labeled_data/companies/tencent/index.yml index 333fe0924..b1a79534c 100644 --- a/labeled_data/companies/tencent/index.yml +++ b/labeled_data/companies/tencent/index.yml @@ -1,13 +1,24 @@ name: Tencent type: Company data: - github_repo: - - 203957456 # repo:OpenAtomFoundation/TencentOS-tiny - github_org: - - 18461506 # org:Tencent - - 1503033 # org:AlloyTeam - - 42138346 # org:TarsCloud - - 14183739 # org:weixin - - 12334581 # org:tencentyun - - 42727075 # org:Angel-ML - - 30144423 # org:tnfe + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 203957456 + name: OpenAtomFoundation/TencentOS-tiny + orgs: + - id: 18461506 + name: Tencent + - id: 1503033 + name: AlloyTeam + - id: 42138346 + name: TarsCloud + - id: 14183739 + name: weixin + - id: 12334581 + name: tencentyun + - id: 42727075 + name: Angel-ML + - id: 30144423 + name: tnfe diff --git a/labeled_data/companies/terminus/index.yml b/labeled_data/companies/terminus/index.yml index 5d1aa14b1..d80b93393 100644 --- a/labeled_data/companies/terminus/index.yml +++ b/labeled_data/companies/terminus/index.yml @@ -1,5 +1,9 @@ name: Terminus type: Company data: - github_org: - - 79822798 # org:erda-project + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 79822798 + name: erda-project diff --git a/labeled_data/companies/thinkphp/index.yml b/labeled_data/companies/thinkphp/index.yml index 66a3489b7..d6a20d0ab 100644 --- a/labeled_data/companies/thinkphp/index.yml +++ b/labeled_data/companies/thinkphp/index.yml @@ -1,5 +1,9 @@ name: ThinkPHP type: Company data: - github_org: - - 16305258 # org:top-think + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 16305258 + name: top-think diff --git a/labeled_data/companies/timecho/index.yml b/labeled_data/companies/timecho/index.yml index 75a0b66a5..92e3e4dfb 100644 --- a/labeled_data/companies/timecho/index.yml +++ b/labeled_data/companies/timecho/index.yml @@ -1,5 +1,9 @@ name: Timecho type: Company data: - github_repo: - - 158975124 # repo:apache/iotdb + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 158975124 + name: apache/iotdb diff --git a/labeled_data/companies/treasure_data/index.yml b/labeled_data/companies/treasure_data/index.yml index dc6ecc0ef..dc339db0e 100644 --- a/labeled_data/companies/treasure_data/index.yml +++ b/labeled_data/companies/treasure_data/index.yml @@ -1,5 +1,9 @@ name: Treasure Data type: Company data: - github_org: - - 859518 # org:fluent + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 859518 + name: fluent diff --git a/labeled_data/companies/twitter/index.yml b/labeled_data/companies/twitter/index.yml index 881fa6ddd..6fdae8462 100644 --- a/labeled_data/companies/twitter/index.yml +++ b/labeled_data/companies/twitter/index.yml @@ -1,9 +1,17 @@ name: Twitter type: Company data: - github_org: - - 50278 # org:twitter - - 7451118 # org:twitterdev - - 5313303 # org:twitter-archive - - 64912658 # org:twitter-research - - 2918581 # org:twbs + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 50278 + name: twitter + - id: 7451118 + name: twitterdev + - id: 5313303 + name: twitter-archive + - id: 64912658 + name: twitter-research + - id: 2918581 + name: twbs diff --git a/labeled_data/companies/uber/index.yml b/labeled_data/companies/uber/index.yml index 73a2005b2..665b54bbe 100644 --- a/labeled_data/companies/uber/index.yml +++ b/labeled_data/companies/uber/index.yml @@ -1,7 +1,13 @@ name: Uber type: Company data: - github_org: - - 538264 # org:uber - - 19262598 # org:uber-go - - 46361271 # org:horovod + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 538264 + name: uber + - id: 19262598 + name: uber-go + - id: 46361271 + name: horovod diff --git a/labeled_data/companies/varnish/index.yml b/labeled_data/companies/varnish/index.yml index 2a00a2d81..3f5a8ed44 100644 --- a/labeled_data/companies/varnish/index.yml +++ b/labeled_data/companies/varnish/index.yml @@ -1,5 +1,9 @@ name: Varnish type: Company data: - github_org: - - 14977495 # org:varnishcache + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 14977495 + name: varnishcache diff --git a/labeled_data/companies/vesoft/index.yml b/labeled_data/companies/vesoft/index.yml index 6d6d90bbf..dccb9aad2 100644 --- a/labeled_data/companies/vesoft/index.yml +++ b/labeled_data/companies/vesoft/index.yml @@ -1,5 +1,9 @@ name: Vesoft type: Company data: - github_org: - - 42441426 # vesoft-inc + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 42441426 + name: vesoft-inc diff --git a/labeled_data/companies/vipshop/index.yml b/labeled_data/companies/vipshop/index.yml index fc487c1ba..a7b689f9e 100644 --- a/labeled_data/companies/vipshop/index.yml +++ b/labeled_data/companies/vipshop/index.yml @@ -1,5 +1,9 @@ name: Vipshop type: Company data: - github_org: - - 7145544 # vipshop + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 7145544 + name: vipshop diff --git a/labeled_data/companies/vmware/index.yml b/labeled_data/companies/vmware/index.yml index 2708c9d57..4c61003fe 100644 --- a/labeled_data/companies/vmware/index.yml +++ b/labeled_data/companies/vmware/index.yml @@ -1,13 +1,25 @@ name: VMWare type: Company -data: - github_org: - - 473334 # org:vmware - - 54452117 # org:vmware-tanzu - - 40275816 # org:goharbor - - 62078680 # org:tern-tools - - 56945369 # org:antrea-io - - 33104318 # org:pivotal - - 96669 # org:rabbitmq - - 7815877 # org:spring-cloud - - 317776 # org:spring-projects +data: + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 473334 + name: vmware + - id: 54452117 + name: vmware-tanzu + - id: 40275816 + name: goharbor + - id: 62078680 + name: tern-tools + - id: 56945369 + name: antrea-io + - id: 33104318 + name: pivotal + - id: 96669 + name: rabbitmq + - id: 7815877 + name: spring-cloud + - id: 317776 + name: spring-projects diff --git a/labeled_data/companies/webank/index.yml b/labeled_data/companies/webank/index.yml index 960ae6c87..ec9aed74f 100644 --- a/labeled_data/companies/webank/index.yml +++ b/labeled_data/companies/webank/index.yml @@ -1,6 +1,16 @@ name: WeBank type: Company data: - github_org: - - 44182399 # org:WeBankFinTech - - 54675540 # org:FederatedAI + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 44182399 + name: WeBankFinTech + - id: 54675540 + name: FederatedAI + - name: Gitee + type: Code Hosting + orgs: + - id: 5279207 + name: WeBank diff --git a/labeled_data/companies/wordpress/index.yml b/labeled_data/companies/wordpress/index.yml index d4144103d..37b9a0039 100644 --- a/labeled_data/companies/wordpress/index.yml +++ b/labeled_data/companies/wordpress/index.yml @@ -1,5 +1,9 @@ name: WordPress type: Company data: - github_org: - - 276006 # org:WordPress + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 276006 + name: WordPress diff --git a/labeled_data/companies/xiaomi/index.yml b/labeled_data/companies/xiaomi/index.yml index b2c7683a3..27fd27224 100644 --- a/labeled_data/companies/xiaomi/index.yml +++ b/labeled_data/companies/xiaomi/index.yml @@ -1,7 +1,13 @@ name: Xiaomi type: Company data: - github_org: - - 1309360 # org:XiaoMi - - 1274540 # org:MiCode - - 11650082 # org:kaldi-asr + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 1309360 + name: XiaoMi + - id: 1274540 + name: MiCode + - id: 11650082 + name: kaldi-asr diff --git a/labeled_data/companies/youzan/index.yml b/labeled_data/companies/youzan/index.yml index d6823ea65..99cf78f36 100644 --- a/labeled_data/companies/youzan/index.yml +++ b/labeled_data/companies/youzan/index.yml @@ -1,5 +1,9 @@ name: Youzan type: Company data: - github_org: - - 11404085 # youzan + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 11404085 + name: youzan diff --git a/labeled_data/companies/yunion/index.yml b/labeled_data/companies/yunion/index.yml index 322b11e07..e4d36459f 100644 --- a/labeled_data/companies/yunion/index.yml +++ b/labeled_data/companies/yunion/index.yml @@ -1,5 +1,9 @@ name: Yunion type: Company data: - github_org: - - 26687199 # org:yunionio + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 26687199 + name: yunionio diff --git a/labeled_data/companies/zalando/index.yml b/labeled_data/companies/zalando/index.yml index 0ca889fea..55979e1ea 100644 --- a/labeled_data/companies/zalando/index.yml +++ b/labeled_data/companies/zalando/index.yml @@ -1,6 +1,11 @@ name: Zalando type: Company data: - github_org: - - 30869512 # org:zalandoresearch - - 59021421 # org:flairNLP + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 30869512 + name: zalandoresearch + - id: 59021421 + name: flairNLP diff --git a/labeled_data/companies/zilliz/index.yml b/labeled_data/companies/zilliz/index.yml index 9aed2f9f6..7dc65adf8 100644 --- a/labeled_data/companies/zilliz/index.yml +++ b/labeled_data/companies/zilliz/index.yml @@ -1,5 +1,9 @@ name: Zilliz type: Company data: - github_org: - - 51735404 # org:milvus-io + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 51735404 + name: milvus-io diff --git a/labeled_data/companies/zstack/index.yml b/labeled_data/companies/zstack/index.yml index e49a0bc07..6300e7c9b 100644 --- a/labeled_data/companies/zstack/index.yml +++ b/labeled_data/companies/zstack/index.yml @@ -1,5 +1,9 @@ name: ZStack type: Company data: - github_org: - - 25654806 # org:zstackio + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 25654806 + name: zstackio diff --git a/labeled_data/foundations/apache.yml b/labeled_data/foundations/apache.yml index 27a70e6af..532d70497 100644 --- a/labeled_data/foundations/apache.yml +++ b/labeled_data/foundations/apache.yml @@ -1,5 +1,9 @@ name: Apache Software Foundation type: Foundation data: - github_org: - - 47359 # org:apache + platforms: + - name: GitHub + type: Code Hosting + orgs: + - id: 47359 + name: apache diff --git a/labeled_data/foundations/linux_foundation/cncf.yml b/labeled_data/foundations/linux_foundation/cncf.yml index 976ea02ba..394be1b1d 100644 --- a/labeled_data/foundations/linux_foundation/cncf.yml +++ b/labeled_data/foundations/linux_foundation/cncf.yml @@ -1,29 +1,57 @@ name: CNCF type: Foundation data: - github_repo: - - 50613991 # repo:goharbor/harbor - - 48833910 # repo:tikv/tikv - - 309874357 # repo:dragonflyoss/Dragonfly2 - - 150713223 # repo:kubeedge/kubeedge - - 199763479 # repo:bfenetworks/bfe - - 206213815 # repo:chaos-mesh/chaos-mesh - - 175192867 # repo:chaosblade-io/chaosblade - - 171396748 # repo:chubaofs/chubaofs - - 86123872 # repo:cni-genie/CNI-Genie - - 278954673 # repo:fluid-cloudnative/fluid - - 263214582 # repo:alibaba/inclavare-containers - - 311639195 # repo:karmada-io/karmada - - 177068961 # repo:kubeovn/kube-ovn - - 227010082 # repo:kubedl-io/kubedl - - 276822250 # repo:oam-dev/kubevela - - 135516270 # repo:k3s-io/k3s - - 311269921 # repo:nocalhost/nocalhost - - 168629414 # repo:kubesphere/openelb - - 189490177 # repo:openkruise/kruise - - 265800635 # repo:openyurtio/openyurt - - 53085971 # org:Piraeus-Datastore - - 322759957 # repo:superedge/superedge - - 306631211 # repo:v6d-io/v6d - - 175592968 # repo:volcano-sh/volcano - - 224908244 # repo:WasmEdge/WasmEdge + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 50613991 + name: goharbor/harbor + - id: 48833910 + name: tikv/tikv + - id: 309874357 + name: dragonflyoss/Dragonfly2 + - id: 150713223 + name: kubeedge/kubeedge + - id: 199763479 + name: bfenetworks/bfe + - id: 206213815 + name: chaos-mesh/chaos-mesh + - id: 175192867 + name: chaosblade-io/chaosblade + - id: 171396748 + name: chubaofs/chubaofs + - id: 86123872 + name: cni-genie/CNI-Genie + - id: 278954673 + name: fluid-cloudnative/fluid + - id: 263214582 + name: alibaba/inclavare-containers + - id: 311639195 + name: karmada-io/karmada + - id: 177068961 + name: kubeovn/kube-ovn + - id: 227010082 + name: kubedl-io/kubedl + - id: 276822250 + name: oam-dev/kubevela + - id: 135516270 + name: k3s-io/k3s + - id: 311269921 + name: nocalhost/nocalhost + - id: 168629414 + name: kubesphere/openelb + - id: 189490177 + name: openkruise/kruise + - id: 265800635 + name: openyurtio/openyurt + - id: 53085971 + name: Piraeus-Datastore + - id: 322759957 + name: superedge/superedge + - id: 306631211 + name: v6d-io/v6d + - id: 175592968 + name: volcano-sh/volcano + - id: 224908244 + name: WasmEdge/WasmEdge diff --git a/labeled_data/foundations/linux_foundation/index.yml b/labeled_data/foundations/linux_foundation/index.yml index 77845107c..3e01af0d0 100644 --- a/labeled_data/foundations/linux_foundation/index.yml +++ b/labeled_data/foundations/linux_foundation/index.yml @@ -1,55 +1,108 @@ name: Linux Foundation type: Foundation data: - github_repo: - - 89322848 # repo:Angel-ML/angel - - 214001313 # repo:ForestFlow/ForestFlow - - 148223447 # repo:linkedin/TonY - - 176202753 # repo:datapractices/data-practices-site - - 201327718 # repo:odpi/OpenDS4All - - 418444440 # repo:Project-OpenBytes/OpenBytes - - 306977038 # repo:OpenLineage/OpenLineage - - 77385607 # repo:JanusGraph/janusgraph - - 208728772 # repo:milvus-io/milvus - - 186647681 # repo:amundsen-io/amundsen - - 211152022 # repo:datashim-io/datashim - - 139907613 # repo:MarquezProject/marquez - - 161133770 # repo:feast-dev/feast - - 141988388 # repo:nnstreamer/nnstreamer - - 135579677 # repo:odpi/egeria - - 189184276 # repo:Delta-ML/delta - - 307465447 # repo:RosaeNLG/rosaenlg - - 210452618 # repo:Adlik/Adlik - - 178075572 # repo:kserve/kserve - - 217498546 # repo:Substra/substra - - 99846383 # repo:horovod/horovod - - 163346054 # repo:ludwig-ai/ludwig - - 102692863 # repo:onnx/onnx - - 129280238 # repo:acumos/documentation - - 356066412 # repo:machine-learning-exchange/mlx - - 216628419 # repo:flyteorg/flyte - - 182067506 # repo:quantumblacklabs/kedro - - 283406173 # repo:KomputeProject/kompute - - 94506832 # repo:pyro-ppl/pyro - - 123634214 # repo:elasticdeeplearning/edl - - 31730643 # repo:soajs/soajs - - 59305491 # repo:sparklyr/sparklyr - - 196340907 # repo:Trusted-AI/AIX360 - - 125381318 # repo:Trusted-AI/adversarial-robustness-toolbox - - 145761123 # repo:Trusted-AI/AIF360 - - 125944747 # repo:hyperledger/caliper - - 78610786 # repo:hyperledger/cello - - 195003588 # repo:lf-edge/ekuiper - - 94065005 # repo:journeymidnight/yig - github_org: - - 36865262 # org:projectacrn - - 45012756 # org:occlum - - 50487650 # org:cloud-hypervisor - - 54415384 # org:baetyl - - 25933741 # org:onap - - 64113964 # org:XGVela - - 64147991 # org:ifeilong - - 26734561 # org:openmessaging - - 92902569 # org:nextarchfoundation - - 56990927 # org:sodafoundation - - 42138346 # org:TarsCloud + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 89322848 + name: Angel-ML/angel + - id: 214001313 + name: ForestFlow/ForestFlow + - id: 148223447 + name: linkedin/TonY + - id: 176202753 + name: datapractices/data-practices-site + - id: 201327718 + name: odpi/OpenDS4All + - id: 418444440 + name: Project-OpenBytes/OpenBytes + - id: 306977038 + name: OpenLineage/OpenLineage + - id: 77385607 + name: JanusGraph/janusgraph + - id: 208728772 + name: milvus-io/milvus + - id: 186647681 + name: amundsen-io/amundsen + - id: 211152022 + name: datashim-io/datashim + - id: 139907613 + name: MarquezProject/marquez + - id: 161133770 + name: feast-dev/feast + - id: 141988388 + name: nnstreamer/nnstreamer + - id: 135579677 + name: odpi/egeria + - id: 189184276 + name: Delta-ML/delta + - id: 307465447 + name: RosaeNLG/rosaenlg + - id: 210452618 + name: Adlik/Adlik + - id: 178075572 + name: kserve/kserve + - id: 217498546 + name: Substra/substra + - id: 99846383 + name: horovod/horovod + - id: 163346054 + name: ludwig-ai/ludwig + - id: 102692863 + name: onnx/onnx + - id: 129280238 + name: acumos/documentation + - id: 356066412 + name: machine-learning-exchange/mlx + - id: 216628419 + name: flyteorg/flyte + - id: 182067506 + name: quantumblacklabs/kedro + - id: 283406173 + name: KomputeProject/kompute + - id: 94506832 + name: pyro-ppl/pyro + - id: 123634214 + name: elasticdeeplearning/edl + - id: 31730643 + name: soajs/soajs + - id: 59305491 + name: sparklyr/sparklyr + - id: 196340907 + name: Trusted-AI/AIX360 + - id: 125381318 + name: Trusted-AI/adversarial-robustness-toolbox + - id: 145761123 + name: Trusted-AI/AIF360 + - id: 125944747 + name: hyperledger/caliper + - id: 78610786 + name: hyperledger/cello + - id: 195003588 + name: lf-edge/ekuiper + - id: 94065005 + name: journeymidnight/yig + orgs: + - id: 36865262 + name: projectacrn + - id: 45012756 + name: occlum + - id: 50487650 + name: cloud-hypervisor + - id: 54415384 + name: baetyl + - id: 25933741 + name: onap + - id: 64113964 + name: XGVela + - id: 64147991 + name: ifeilong + - id: 26734561 + name: openmessaging + - id: 92902569 + name: nextarchfoundation + - id: 56990927 + name: sodafoundation + - id: 42138346 + name: TarsCloud diff --git a/labeled_data/foundations/openjs.yml b/labeled_data/foundations/openjs.yml index 7f57c4f61..ae536bc55 100644 --- a/labeled_data/foundations/openjs.yml +++ b/labeled_data/foundations/openjs.yml @@ -1,45 +1,89 @@ name: OpenJS Foundation type: Foundation data: - github_repo: - - 7530570 # repo:appium/appium - - 167174 # repo:jquery/jquery - - 9384267 # repo:electron/electron - - 27193779 # repo:nodejs/node - - 3678731 # repo:webpack/webpack - - 41766002 # repo:ampproject/amphtml - - 33339660 # repo:jerryscript-project/jerryscript - - 97773427 # repo:architect/architect - - 78452015 # repo:loopbackio/loopback-next - - 140325971 # repo:dojo/framework - - 3955647 # repo:lodash/lodash - - 11061773 # repo:eslint/eslint - - 15720445 # repo:marko-js/marko - - 3264770 # repo:messageformat/messageformat - - 2833537 # repo:jquery/esprima - - 237159 # repo:expressjs/express - - 1451352 # repo:mochajs/mocha - - 1424470 # repo:moment/moment/ - - 69495170 # repo:fastify/fastify - - 946945 # repo:globalizejs/globalize - - 12618379 # repo:node-red/node-red - - 2430537 # repo:gruntjs/grunt - - 18224920 # repo:HospitalRun/hospitalrun-frontend - - 612230 # repo:nvm-sh/nvm - - 259691 # repo:qunitjs/qunit - - 212812134 # repo:interledgerjs/interledgerjs - - 9037631 # repo:theintern/intern - - 2296970 # repo:webdriverio/webdriverio - - 82211360 # repo:webhintio/hint - - 31492490 # repo:NativeScript/NativeScript - - 35914020 # repo:ajv-validator/ajv - - 15062869 # repo:facebook/jest - - 48030204 # repo:visgl/deck.gl - - 37983912 # repo:json-schema-org/json-schema-spec - - 123345344 # repo:keplergl/kepler.gl - - 26022940 # repo:jquery-archive/css-chassis - - 907410 # repo:jquery-archive/jquery-mobile - - 5532217 # repo:jquery-archive/PEP - - 478996 # repo:jquery/jquery-ui - - 501326 # repo:requirejs/requirejs - - 45547 # repo:jquery/sizzle + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 7530570 + name: appium/appium + - id: 167174 + name: jquery/jquery + - id: 9384267 + name: electron/electron + - id: 27193779 + name: nodejs/node + - id: 3678731 + name: webpack/webpack + - id: 41766002 + name: ampproject/amphtml + - id: 33339660 + name: jerryscript-project/jerryscript + - id: 97773427 + name: architect/architect + - id: 78452015 + name: loopbackio/loopback-next + - id: 140325971 + name: dojo/framework + - id: 3955647 + name: lodash/lodash + - id: 11061773 + name: eslint/eslint + - id: 15720445 + name: marko-js/marko + - id: 3264770 + name: messageformat/messageformat + - id: 2833537 + name: jquery/esprima + - id: 237159 + name: expressjs/express + - id: 1451352 + name: mochajs/mocha + - id: 1424470 + name: moment/moment/ + - id: 69495170 + name: fastify/fastify + - id: 946945 + name: globalizejs/globalize + - id: 12618379 + name: node-red/node-red + - id: 2430537 + name: gruntjs/grunt + - id: 18224920 + name: HospitalRun/hospitalrun-frontend + - id: 612230 + name: nvm-sh/nvm + - id: 259691 + name: qunitjs/qunit + - id: 212812134 + name: interledgerjs/interledgerjs + - id: 9037631 + name: theintern/intern + - id: 2296970 + name: webdriverio/webdriverio + - id: 82211360 + name: webhintio/hint + - id: 31492490 + name: NativeScript/NativeScript + - id: 35914020 + name: ajv-validator/ajv + - id: 15062869 + name: facebook/jest + - id: 48030204 + name: visgl/deck.gl + - id: 37983912 + name: json-schema-org/json-schema-spec + - id: 123345344 + name: keplergl/kepler.gl + - id: 26022940 + name: jquery-archive/css-chassis + - id: 907410 + name: jquery-archive/jquery-mobile + - id: 5532217 + name: jquery-archive/PEP + - id: 478996 + name: jquery/jquery-ui + - id: 501326 + name: requirejs/requirejs + - id: 45547 + name: jquery/sizzle diff --git a/labeled_data/projects/skywalking.yml b/labeled_data/projects/skywalking.yml index f80ed67ad..337f2d2a2 100644 --- a/labeled_data/projects/skywalking.yml +++ b/labeled_data/projects/skywalking.yml @@ -1,34 +1,66 @@ name: SkyWalking type: Project data: - github_repo: - - 45721011 # repo:apache/skywalking - - 274822766 # repo:apache/skywalking-nodejs - - 241621679 # repo:apache/skywalking-nginx-lua - - 400172901 # repo:apache/skywalking-java - - 117302788 # repo:apache/skywalking-website - - 153295119 # repo:apache/skywalking-rocketbot-ui - - 351637721 # repo:apache/skywalking-banyandb - - 154606109 # repo:apache/skywalking-kubernetes - - 154605982 # repo:apache/skywalking-docker - - 324770878 # repo:apache/skywalking-infra-e2e - - 147172434 # repo:apache/skywalking-query-protocol - - 261456329 # repo:apache/skywalking-python - - 226286903 # repo:apache/skywalking-client-js - - 241621162 # repo:apache/skywalking-swck - - 243660063 # repo:apache/skywalking-agent-test-tool - - 122565314 # repo:apache/skywalking-data-collect-protocol - - 323231688 # repo:apache/skywalking-eyes - - 308850825 # repo:apache/skywalking-satellite - - 218930575 # repo:apache/skywalking-cli - - 406666774 # repo:apache/skywalking-showcase - - 401558592 # repo:apache/skywalking-banyandb-java-client - - 243689974 # repo:apache/skywalking-rust - - 351349940 # repo:apache/skywalking-goapi - - 358578856 # repo:apache/skywalking-kong - - 351967756 # repo:apache/skywalking-kubernetes-event-exporter - - 435180749 # repo:apache/skywalking-booster-ui - - 83632281 # repo:apache/skywalking-ui - - 140874933 # repo:apache/skywalking-oal-tool - github_org: - - 32165127 # org:SkyAPM + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 45721011 + name: apache/skywalking + - id: 274822766 + name: apache/skywalking-nodejs + - id: 241621679 + name: apache/skywalking-nginx-lua + - id: 400172901 + name: apache/skywalking-java + - id: 117302788 + name: apache/skywalking-website + - id: 153295119 + name: apache/skywalking-rocketbot-ui + - id: 351637721 + name: apache/skywalking-banyandb + - id: 154606109 + name: apache/skywalking-kubernetes + - id: 154605982 + name: apache/skywalking-docker + - id: 324770878 + name: apache/skywalking-infra-e2e + - id: 147172434 + name: apache/skywalking-query-protocol + - id: 261456329 + name: apache/skywalking-python + - id: 226286903 + name: apache/skywalking-client-js + - id: 241621162 + name: apache/skywalking-swck + - id: 243660063 + name: apache/skywalking-agent-test-tool + - id: 122565314 + name: apache/skywalking-data-collect-protocol + - id: 323231688 + name: apache/skywalking-eyes + - id: 308850825 + name: apache/skywalking-satellite + - id: 218930575 + name: apache/skywalking-cli + - id: 406666774 + name: apache/skywalking-showcase + - id: 401558592 + name: apache/skywalking-banyandb-java-client + - id: 243689974 + name: apache/skywalking-rust + - id: 351349940 + name: apache/skywalking-goapi + - id: 358578856 + name: apache/skywalking-kong + - id: 351967756 + name: apache/skywalking-kubernetes-event-exporter + - id: 435180749 + name: apache/skywalking-booster-ui + - id: 83632281 + name: apache/skywalking-ui + - id: 140874933 + name: apache/skywalking-oal-tool + orgs: + - id: 32165127 + name: SkyAPM diff --git a/labeled_data/regions/BE.yml b/labeled_data/regions/BE.yml index 5d0cc3030..16f552827 100644 --- a/labeled_data/regions/BE.yml +++ b/labeled_data/regions/BE.yml @@ -1,5 +1,5 @@ name: Belgium type: Region data: - label: + labels: - :companies/odoo diff --git a/labeled_data/regions/CN.yml b/labeled_data/regions/CN.yml index 748916567..be0e30554 100644 --- a/labeled_data/regions/CN.yml +++ b/labeled_data/regions/CN.yml @@ -1,7 +1,7 @@ name: China type: Region data: - label: + labels: - :companies/alibaba - :companies/baidu - :companies/huawei @@ -67,196 +67,386 @@ data: - :companies/easycorp - :companies/espressif - :companies/primihub + - :companies/greatdb - :communities/openmmlab - :communities/xlab - :communities/mulan - :projects/skywalking - github_org: - - 12165287 # org:ossrs - - 36865262 # org:projectacrn - - 45012756 # org:occlum - - 50487650 # org:cloud-hypervisor - - 54415384 # org:baetyl - - 25933741 # org:onap - - 64113964 # org:XGVela - - 64147991 # org:ifeilong - - 26734561 # org:openmessaging - - 92902569 # org:nextarchfoundation - - 56990927 # org:sodafoundation - - 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qiujiangkun + - id: 615282 + name: sunnylqm + - id: 10770362 + name: CarGuo + - id: 16078332 + name: XuehaiPan + - id: 13861040 + name: QC-L + - id: 55725251 + name: ShiChangkuo + - id: 1269815 + name: oblitum + - id: 1343140 + name: binarywang + - id: 36689704 + name: buuing + - id: 22415594 + name: ruanwenjun + - id: 15010826 + name: will-ww + - id: 8512426 + name: frank-zsy + - id: 56542972 + name: xiaoya-Esther + - id: 93194 + name: zhuangbiaowei + - id: 219644 + name: WillemJiang + - id: 825729 + name: sangshuduo + - id: 11746742 + name: " xiaohuoni" + - id: 57479557 + name: attlee-wang + - id: 37795442 + name: xgdyp + - id: 39022409 + name: zhicheng-ning + - id: 1736354 + name: Yikun diff --git a/labeled_data/regions/CZ.yml b/labeled_data/regions/CZ.yml index a406af6f8..08537fd01 100644 --- a/labeled_data/regions/CZ.yml +++ b/labeled_data/regions/CZ.yml @@ -1,5 +1,5 @@ name: Czech Republic type: Region data: - label: + labels: - :companies/jetbrains diff --git a/labeled_data/regions/DE.yml b/labeled_data/regions/DE.yml index 6c4cf0a82..cd66f07f3 100644 --- a/labeled_data/regions/DE.yml +++ b/labeled_data/regions/DE.yml @@ -1,7 +1,7 @@ name: Germany type: Region data: - label: + labels: - :companies/zalando - :companies/explosionai - :companies/jina_ai diff --git a/labeled_data/regions/ES.yml b/labeled_data/regions/ES.yml index b1b720097..ad73a90f1 100644 --- a/labeled_data/regions/ES.yml +++ b/labeled_data/regions/ES.yml @@ -1,5 +1,5 @@ name: Spain type: Region data: - label: + labels: - :companies/artelnics diff --git a/labeled_data/regions/GB.yml b/labeled_data/regions/GB.yml index 7f0a39cda..dd32e0790 100644 --- a/labeled_data/regions/GB.yml +++ b/labeled_data/regions/GB.yml @@ -1,7 +1,7 @@ name: United Kingdom of Great Britain and Northern Ireland type: Region data: - label: + labels: - :companies/rare - :companies/deepmind - :companies/gaas diff --git a/labeled_data/regions/IN.yml b/labeled_data/regions/IN.yml index 3133d2d7a..09951eff3 100644 --- a/labeled_data/regions/IN.yml +++ b/labeled_data/regions/IN.yml @@ -1,6 +1,6 @@ name: India type: Region data: - label: + labels: - :companies/blue_spire - :companies/merico diff --git a/labeled_data/regions/KR.yml b/labeled_data/regions/KR.yml index a4cabb711..c7cf222e1 100644 --- a/labeled_data/regions/KR.yml +++ b/labeled_data/regions/KR.yml @@ -1,5 +1,5 @@ name: Korea, Republic of type: Region data: - label: + labels: - :companies/samsung diff --git a/labeled_data/regions/SG.yml b/labeled_data/regions/SG.yml index 67f62634b..de1416020 100644 --- a/labeled_data/regions/SG.yml +++ b/labeled_data/regions/SG.yml @@ -1,5 +1,5 @@ name: Singapore type: Region data: - label: + labels: - :companies/cloudwise diff --git a/labeled_data/regions/TR.yml b/labeled_data/regions/TR.yml index 600c62fad..1557e4023 100644 --- a/labeled_data/regions/TR.yml +++ b/labeled_data/regions/TR.yml @@ -1,5 +1,5 @@ name: Türkiye type: Region data: - label: + labels: - :companies/fmsoft diff --git a/labeled_data/regions/US.yml b/labeled_data/regions/US.yml index 66dc68b14..81ddccaa8 100644 --- a/labeled_data/regions/US.yml +++ b/labeled_data/regions/US.yml @@ -1,7 +1,7 @@ name: United States of America type: Region data: - label: + labels: - :companies/adobe - :companies/amazon - :companies/databricks diff --git a/labeled_data/technology/ai/generative_ai/application/audio.yml b/labeled_data/technology/ai/generative_ai/application/audio.yml index c6265c755..e647fb2a8 100644 --- a/labeled_data/technology/ai/generative_ai/application/audio.yml +++ b/labeled_data/technology/ai/generative_ai/application/audio.yml @@ -1,26 +1,51 @@ name: Artificial Intelligence - application - audio type: Tech-1 data: - github_repo: - - 619143361 # repo:elevenlabs/elevenlabs-python - - 338338954 # repo:resemble-ai/resemble-alexa - - 576069143 # repo:ZohaibAhmed/ChatGPT-Voice - - 552264768 # repo:babysplly/Wellsaidlabs - - 265612440 # repo:coqui-ai/TTS - - 584022883 # repo:yacineMTB/scribepod - - 672176742 # repo:Plachtaa/VALL-E-X - - 452939314 # repo:neonbjb/tortoise-tts - - 624994625 # repo:suno-ai/bark - - 59299524 # repo:MycroftAI/mycroft-core - - 90392762 # repo:common-voice/common-voice - - 404457914 # repo:uberduck-ai/uberduck-ml-dev - - 92691776 # repo:jovotech/jovo-framework - - 577603990 # repo:LAION-AI/Open-Assistant - - 629313011 # repo:pashpashpash/vault-ai - - 496363093 # repo:Harmonai-org/sample-generator - - 553119108 # repo:MubertAI/Mubert-Text-to-Music - - 594096901 # repo:lucidrains/musiclm-pytorch - - 6724235 # repo:Cortexelus/dadabots - - 251074388 # repo:AbhilashPal/MuseNet - - 650945129 # repo:facebookresearch/audiocraft - - 614719201 # repo:AIGC-Audio/AudioGPT \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 619143361 + name: elevenlabs/elevenlabs-python + - id: 338338954 + name: resemble-ai/resemble-alexa + - id: 576069143 + name: ZohaibAhmed/ChatGPT-Voice + - id: 552264768 + name: babysplly/Wellsaidlabs + - id: 265612440 + name: coqui-ai/TTS + - id: 584022883 + name: yacineMTB/scribepod + - id: 672176742 + name: Plachtaa/VALL-E-X + - id: 452939314 + name: neonbjb/tortoise-tts + - id: 624994625 + name: suno-ai/bark + - id: 59299524 + name: MycroftAI/mycroft-core + - id: 90392762 + name: common-voice/common-voice + - id: 404457914 + name: uberduck-ai/uberduck-ml-dev + - id: 92691776 + name: jovotech/jovo-framework + - id: 577603990 + name: LAION-AI/Open-Assistant + - id: 629313011 + name: pashpashpash/vault-ai + - id: 496363093 + name: Harmonai-org/sample-generator + - id: 553119108 + name: MubertAI/Mubert-Text-to-Music + - id: 594096901 + name: lucidrains/musiclm-pytorch + - id: 6724235 + name: Cortexelus/dadabots + - id: 251074388 + name: AbhilashPal/MuseNet + - id: 650945129 + name: facebookresearch/audiocraft + - id: 614719201 + name: AIGC-Audio/AudioGPT diff --git a/labeled_data/technology/ai/generative_ai/application/code.yml b/labeled_data/technology/ai/generative_ai/application/code.yml index e62023287..354ee2f34 100644 --- a/labeled_data/technology/ai/generative_ai/application/code.yml +++ b/labeled_data/technology/ai/generative_ai/application/code.yml @@ -1,18 +1,35 @@ name: Artificial Intelligence - application - code type: Tech-1 data: - github_repo: - - 151494178 # repo:replit/polygott - - 323439605 # repo:replit/kaboom - - 228441470 # repo:replit/clui - - 197269443 # repo:GhostManager/Ghostwriter - - 156332497 # repo:codota/TabNine - - 441005943 # repo:mintlify/writer - - 551056581 # repo:Debuild-co/CodeFormer - - 549501956 # repo:Debuild-co/Real-ESRGAN - - 660551251 # repo:geekan/MetaGPT - - 639095114 # repo:ricklamers/gpt-code-ui - - 625612711 # repo:ravenscroftj/turbopilot - - 662766482 # repo:Codium-ai/pr-agent - - 634224458 # repo:AntonOsika/gpt-engineer - - 669882047 # repo:THUDM/CodeGeeX2 \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 151494178 + name: replit/polygott + - id: 323439605 + name: replit/kaboom + - id: 228441470 + name: replit/clui + - id: 197269443 + name: GhostManager/Ghostwriter + - id: 156332497 + name: codota/TabNine + - id: 441005943 + name: mintlify/writer + - id: 551056581 + name: Debuild-co/CodeFormer + - id: 549501956 + name: Debuild-co/Real-ESRGAN + - id: 660551251 + name: geekan/MetaGPT + - id: 639095114 + name: ricklamers/gpt-code-ui + - id: 625612711 + name: ravenscroftj/turbopilot + - id: 662766482 + name: Codium-ai/pr-agent + - id: 634224458 + name: AntonOsika/gpt-engineer + - id: 669882047 + name: THUDM/CodeGeeX2 diff --git a/labeled_data/technology/ai/generative_ai/application/image.yml b/labeled_data/technology/ai/generative_ai/application/image.yml index b429229fb..821208e96 100644 --- a/labeled_data/technology/ai/generative_ai/application/image.yml +++ b/labeled_data/technology/ai/generative_ai/application/image.yml @@ -1,14 +1,27 @@ name: Artificial Intelligence - application - image type: Tech-1 data: - github_repo: - - 547653294 # repo:midjourney/transformers - - 569927055 # repo:Stability-AI/stablediffusion - - 631081758 # repo:Stability-AI/StableStudio - - 656933936 # repo:Stability-AI/generative-models - - 625876964 # repo:open-mmlab/playground - - 612427246 # repo:tatsu-lab/stanford_alpaca - - 642323624 # repo:XingangPan/DragGAN - - 628419800 # repo:Vision-CAIR/MiniGPT-4 - - 595893961 # repo:lllyasviel/ControlNet - - 523379232 # repo:CompVis/stable-diffusion \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 547653294 + name: midjourney/transformers + - id: 569927055 + name: Stability-AI/stablediffusion + - id: 631081758 + name: Stability-AI/StableStudio + - id: 656933936 + name: Stability-AI/generative-models + - id: 625876964 + name: open-mmlab/playground + - id: 612427246 + name: tatsu-lab/stanford_alpaca + - id: 642323624 + name: XingangPan/DragGAN + - id: 628419800 + name: Vision-CAIR/MiniGPT-4 + - id: 595893961 + name: lllyasviel/ControlNet + - id: 523379232 + name: CompVis/stable-diffusion diff --git a/labeled_data/technology/ai/generative_ai/application/index.yml b/labeled_data/technology/ai/generative_ai/application/index.yml index 9af466aaa..78ab3ff43 100644 --- a/labeled_data/technology/ai/generative_ai/application/index.yml +++ b/labeled_data/technology/ai/generative_ai/application/index.yml @@ -1,16 +1,31 @@ name: Application type: Tech-1 data: - github_repo: - - 575340621 # repo:lencx/chatgpt - - 615882673 # repo:lm-sys/fastchat - - 612781022 # repo:getcursor/cursor - - 537603333 # repo:openai/whisper - - 612640604 # repo:mckaywrigley/chatbot-ui - - 610260322 # repo:bin-huang/chatbox - - 615113749 # repo:mayooear/gpt4-pdf-chatbot-langchain - - 621808642 # repo:jushbjj/mr.-ranedeer-ai-tutor - - 621799276 # repo:chatchat-space/Langchain-Chatchat - - 640079149 # repo:StanGirard/quivr - - 624249899 # repo:idea-research/grounded-segment-anything - - 614719201 # repo:aigc-audio/audiogpt + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 575340621 + name: lencx/chatgpt + - id: 615882673 + name: lm-sys/fastchat + - id: 612781022 + name: getcursor/cursor + - id: 537603333 + name: openai/whisper + - id: 612640604 + name: mckaywrigley/chatbot-ui + - id: 610260322 + name: bin-huang/chatbox + - id: 615113749 + name: mayooear/gpt4-pdf-chatbot-langchain + - id: 621808642 + name: jushbjj/mr.-ranedeer-ai-tutor + - id: 621799276 + name: chatchat-space/Langchain-Chatchat + - id: 640079149 + name: StanGirard/quivr + - id: 624249899 + name: idea-research/grounded-segment-anything + - id: 614719201 + name: aigc-audio/audiogpt diff --git a/labeled_data/technology/ai/generative_ai/application/other.yml b/labeled_data/technology/ai/generative_ai/application/other.yml index 79fc851ff..86ba44b92 100644 --- a/labeled_data/technology/ai/generative_ai/application/other.yml +++ b/labeled_data/technology/ai/generative_ai/application/other.yml @@ -1,7 +1,13 @@ name: Artificial Intelligence - application - other type: Tech-1 data: - github_repo: - - 636172550 # repo:WangRongsheng/MedQA-ChatGLM - - 667200726 # repo:DUOMO/TransGPT - - 679606269 # repo:zhihaiLLM/wisdomInterrogatory \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 636172550 + name: WangRongsheng/MedQA-ChatGLM + - id: 667200726 + name: DUOMO/TransGPT + - id: 679606269 + name: zhihaiLLM/wisdomInterrogatory diff --git a/labeled_data/technology/ai/generative_ai/application/text.yml b/labeled_data/technology/ai/generative_ai/application/text.yml index db7e14a6b..be385fa3c 100644 --- a/labeled_data/technology/ai/generative_ai/application/text.yml +++ b/labeled_data/technology/ai/generative_ai/application/text.yml @@ -1,26 +1,51 @@ name: Artificial Intelligence - application - text type: Tech-1 data: - github_repo: - - 324686460 # repo:Copysmithai/serious-websites - - 558867457 # repo:Writesonic/react-input-autosize - - 620988849 # repp:Contenda-Team/ai-ipsum - - 617776676 # repo:Contenda-Team/share-pear - - 639230108 # repo:Contenda-Team/contenda-dotnet-sdk - - 496776348 # repo:microsoft/LAVENDER - - 608073717 # repo:WeismannS/Character.AI-TS - - 179196443 # repo:Latitude-Archives/AIDungeon - - 364463089 # repo:mem-labs/mem-node - - 572271856 # repo:mem-labs/GPT-3-Encoder - - 325112670 # repo:OthersideAI/chronology - - 606922335 # repo:OthersideAI/WordInContext - - 550545345 # repo:compose-ai/languagetool - - 436194023 # repo:rytr-me/documentation - - 358774920 # repo:copy-ai/kubeflow_github_actions - - 540481589 # repo:copy-ai/heroku-buildpack-pnpm - - 607250778 # repo:copy-ai/copy-to-clipboard - - 382919156 # repo:REGIE-io/react-pro-sidebar - - 682555083 # repo:REGIE-io/LlamaIndexTS - - 617087362 # repo:martiansideofthemoon/ai-detection-paraphrases - - 644001706 # repo:aiwaves-cn/RecurrentGPT - - 577603990 # repo:LAION-AI/Open-Assistant \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 324686460 + name: Copysmithai/serious-websites + - id: 558867457 + name: Writesonic/react-input-autosize + - id: 620988849 + name: Contenda-Team/ai-ipsum + - id: 617776676 + name: Contenda-Team/share-pear + - id: 639230108 + name: Contenda-Team/contenda-dotnet-sdk + - id: 496776348 + name: microsoft/LAVENDER + - id: 608073717 + name: WeismannS/Character.AI-TS + - id: 179196443 + name: Latitude-Archives/AIDungeon + - id: 364463089 + name: mem-labs/mem-node + - id: 572271856 + name: mem-labs/GPT-3-Encoder + - id: 325112670 + name: OthersideAI/chronology + - id: 606922335 + name: OthersideAI/WordInContext + - id: 550545345 + name: compose-ai/languagetool + - id: 436194023 + name: rytr-me/documentation + - id: 358774920 + name: copy-ai/kubeflow_github_actions + - id: 540481589 + name: copy-ai/heroku-buildpack-pnpm + - id: 607250778 + name: copy-ai/copy-to-clipboard + - id: 382919156 + name: REGIE-io/react-pro-sidebar + - id: 682555083 + name: REGIE-io/LlamaIndexTS + - id: 617087362 + name: martiansideofthemoon/ai-detection-paraphrases + - id: 644001706 + name: aiwaves-cn/RecurrentGPT + - id: 577603990 + name: LAION-AI/Open-Assistant diff --git a/labeled_data/technology/ai/generative_ai/application/video.yml b/labeled_data/technology/ai/generative_ai/application/video.yml index e07709a8b..b35db29fe 100644 --- a/labeled_data/technology/ai/generative_ai/application/video.yml +++ b/labeled_data/technology/ai/generative_ai/application/video.yml @@ -1,6 +1,11 @@ name: Artificial Intelligence - application - video type: Tech-1 data: - github_repo: - - 342728683 # repo:replicate/cog - - 533451541 # repo:nateraw/stable-diffusion-videos + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 342728683 + name: replicate/cog + - id: 533451541 + name: nateraw/stable-diffusion-videos diff --git a/labeled_data/technology/ai/generative_ai/index.yml b/labeled_data/technology/ai/generative_ai/index.yml index 6e9e41879..ef264d9fb 100644 --- a/labeled_data/technology/ai/generative_ai/index.yml +++ b/labeled_data/technology/ai/generative_ai/index.yml @@ -1,42 +1,79 @@ name: Artificial Intelligence - Generative Artificial Intelligence type: Tech-1 data: - label: + labels: - model - tool - application - github_repo: - - 573819845 # repo:acheong08/chatgpt - - 582822129 # repo:karpathy/nanogpt - - 595893961 # repo:lllyasviel/controlnet - - 574965758 # repo:fuergaosi233/wechat-chatgpt - - 573631261 # repo:transitive-bullshit/chatgpt-api - - 576380523 # repo:lucidrains/palm-rlhf-pytorch - - 602270517 # repo:fminference/flexgen - - 535509546 # repo:brycedrennan/imaginairy - - 288108533 # repo:karpathy/mingpt - - 560704231 # repo:jerryjliu/gpt_index - - 575048321 # repo:openai/point-e - - 525592995 # repo:invoke-ai/invokeai - - 55072677 # repo:weaviate/weaviate - - 574428530 # repo:rawandahmad698/pychatgpt - - 572971616 # repo:vincelwt/chatgpt-mac - - 502482803 # repo:bigscience-workshop/petals - - 219986676 # repo:ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network - - 58414589 # repo:oneapi-src/onednn - - 224296809 # repo:google-research/albert - - 341067188 # repo:alpa-projects/alpa - - 545104023 # repo:CarperAI/trlx - - 590604203 # repo:TheR1D/shell_gpt - - 517552648 # repo:modelscope/modelscope - - 588477692 # repo:BlinkDL/ChatRWKV - - 268163609 # repo:qdrant/qdrant - - 208728772 # repo:milvus-io/milvus - - 502482803 # repo:bigscience-workshop/petals - - 591782276 # repo:jaymody/picoGPT - - 521021013 # repo:THUDM/GLM-130B - - 244607156 # repo:VinAIResearch/PhoBERT - - 355059998 # repo:rinnakk/japanese-pretrained-models - - 168799526 # repo:huggingface/pytorch-image-models - - 622737738 # repo:yoheinakajima/babyagi - - 613591358 # repo:tloen/alpaca-lora + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 573819845 + name: acheong08/chatgpt + - id: 582822129 + name: karpathy/nanogpt + - id: 595893961 + name: lllyasviel/controlnet + - id: 574965758 + name: fuergaosi233/wechat-chatgpt + - id: 573631261 + name: transitive-bullshit/chatgpt-api + - id: 576380523 + name: lucidrains/palm-rlhf-pytorch + - id: 602270517 + name: fminference/flexgen + - id: 535509546 + name: brycedrennan/imaginairy + - id: 288108533 + name: karpathy/mingpt + - id: 560704231 + name: jerryjliu/gpt_index + - id: 575048321 + name: openai/point-e + - id: 525592995 + name: invoke-ai/invokeai + - id: 55072677 + name: weaviate/weaviate + - id: 574428530 + name: rawandahmad698/pychatgpt + - id: 572971616 + name: vincelwt/chatgpt-mac + - id: 502482803 + name: bigscience-workshop/petals + - id: 219986676 + name: ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network + - id: 58414589 + name: oneapi-src/onednn + - id: 224296809 + name: google-research/albert + - id: 341067188 + name: alpa-projects/alpa + - id: 545104023 + name: CarperAI/trlx + - id: 590604203 + name: TheR1D/shell_gpt + - id: 517552648 + name: modelscope/modelscope + - id: 588477692 + name: BlinkDL/ChatRWKV + - id: 268163609 + name: qdrant/qdrant + - id: 208728772 + name: milvus-io/milvus + - id: 502482803 + name: bigscience-workshop/petals + - id: 591782276 + name: jaymody/picoGPT + - id: 521021013 + name: THUDM/GLM-130B + - id: 244607156 + name: VinAIResearch/PhoBERT + - id: 355059998 + name: rinnakk/japanese-pretrained-models + - id: 168799526 + name: huggingface/pytorch-image-models + - id: 622737738 + name: yoheinakajima/babyagi + - id: 613591358 + name: tloen/alpaca-lora diff --git a/labeled_data/technology/ai/generative_ai/infrastructure/data.yml b/labeled_data/technology/ai/generative_ai/infrastructure/data.yml index f4fff317a..29ae8af7e 100644 --- a/labeled_data/technology/ai/generative_ai/infrastructure/data.yml +++ b/labeled_data/technology/ai/generative_ai/infrastructure/data.yml @@ -1,15 +1,29 @@ name: Artificial Intelligence - infrastructure - data type: Tech-1 data: - github_repo: - - 250213286 # repo:huggingface/datasets - - 290621741 # repo:EleutherAI/The-Pile - - 184690694 # repo:openai/gpt-2-output-dataset - - 685189532 # repo:openai/compose-richtext - - 171325281 # repo:jcpeterson/openwebtext - - 264870386 # repo:openai/gpt-3 - - 627636169 # repo:allenai/mmc4 - - 622196323 # repo:FreedomIntelligence/LLMZoo - - 650086239 # repo:X-PLUG/Youku-mPLUG - - 678206546 # repo:opendatalab/WanJuan1.0 - - 656099147 # repo:embedchain/embedchain \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 250213286 + name: huggingface/datasets + - id: 290621741 + name: EleutherAI/The-Pile + - id: 184690694 + name: openai/gpt-2-output-dataset + - id: 685189532 + name: openai/compose-richtext + - id: 171325281 + name: jcpeterson/openwebtext + - id: 264870386 + name: openai/gpt-3 + - id: 627636169 + name: allenai/mmc4 + - id: 622196323 + name: FreedomIntelligence/LLMZoo + - id: 650086239 + name: X-PLUG/Youku-mPLUG + - id: 678206546 + name: opendatalab/WanJuan1.0 + - id: 656099147 + name: embedchain/embedchain diff --git a/labeled_data/technology/ai/generative_ai/infrastructure/document.yml b/labeled_data/technology/ai/generative_ai/infrastructure/document.yml index b44aa0bb3..4a69ac560 100644 --- a/labeled_data/technology/ai/generative_ai/infrastructure/document.yml +++ b/labeled_data/technology/ai/generative_ai/infrastructure/document.yml @@ -1,26 +1,51 @@ name: Artificial Intelligence - infrastructure - document type: Tech-1 data: - github_repo: - - 12104024 # datasciencemasters/go - - 99805855 # Kulbear/deep-learning-coursera - - 283004179 # fastai/fastai-docs - - 99190133 # susanli2016/NLP-with-Python - - 132798273 # GoogleCloudPlatform/tensorflow-without-a-phd - - 612015006 # GanymedeNil/document.ai - - 657179506 # phodal/aigc - - 603593003 # phodal/understand-prompt - - 604651852 # phodal/prompt-patterns - - 622091971 # unit-mesh/unit-minions - - 681516317 # repo:luban-agi/Awesome-AIGC-Tutorials - - 550752161 # repo:huggingface/diffusion-models-class - - 645830530 # repo:cystanford/aigc_LLM_engineering - - 624214839 # repo:liucongg/ChatGLM-Finetuning - - 601903423 # repo:wshzd/Awesome-AIGC - - 625084397 # repo:agiresearch/OpenAGI - - 574835594 # repo:cedrickchee/chatgpt-universe - - 621226745 # repo:shm007g/LLaMA-Cult-and-More - - 645830530 # repo:cystanford/aigc_LLM_engineering - - 634709298 # repo:km1994/LLMsNineStoryDemonTower - - 667480296 # repo:DjangoPeng/openai-quickstart - - 672337648 # repo:RahulSChand/llama2.c-for-dummies \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 12104024 + name: datasciencemasters/go + - id: 99805855 + name: Kulbear/deep-learning-coursera + - id: 283004179 + name: fastai/fastai-docs + - id: 99190133 + name: susanli2016/NLP-with-Python + - id: 132798273 + name: GoogleCloudPlatform/tensorflow-without-a-phd + - id: 612015006 + name: GanymedeNil/document.ai + - id: 657179506 + name: phodal/aigc + - id: 603593003 + name: phodal/understand-prompt + - id: 604651852 + name: phodal/prompt-patterns + - id: 622091971 + name: unit-mesh/unit-minions + - id: 681516317 + name: luban-agi/Awesome-AIGC-Tutorials + - id: 550752161 + name: huggingface/diffusion-models-class + - id: 645830530 + name: cystanford/aigc_LLM_engineering + - id: 624214839 + name: liucongg/ChatGLM-Finetuning + - id: 601903423 + name: wshzd/Awesome-AIGC + - id: 625084397 + name: agiresearch/OpenAGI + - id: 574835594 + name: cedrickchee/chatgpt-universe + - id: 621226745 + name: shm007g/LLaMA-Cult-and-More + - id: 645830530 + name: cystanford/aigc_LLM_engineering + - id: 634709298 + name: km1994/LLMsNineStoryDemonTower + - id: 667480296 + name: DjangoPeng/openai-quickstart + - id: 672337648 + name: RahulSChand/llama2.c-for-dummies diff --git a/labeled_data/technology/ai/generative_ai/infrastructure/platform_and_environment.yml b/labeled_data/technology/ai/generative_ai/infrastructure/platform_and_environment.yml index 91eafe0c1..2324ba4e6 100644 --- a/labeled_data/technology/ai/generative_ai/infrastructure/platform_and_environment.yml +++ b/labeled_data/technology/ai/generative_ai/infrastructure/platform_and_environment.yml @@ -1,8 +1,15 @@ name: Artificial Intelligence - infrastructure - platform & environment type: Tech-1 data: - github_repo: - - 617788189 # repo:unit-mesh/unit-mesh - - 618345160 # repo:PhoebusSi/Alpaca-CoT - - 616997669 # repo:1595901624/gpt-aggregated-edition - - 612781022 # repo:getcursor/cursor \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 617788189 + name: unit-mesh/unit-mesh + - id: 618345160 + name: PhoebusSi/Alpaca-CoT + - id: 616997669 + name: 1595901624/gpt-aggregated-edition + - id: 612781022 + name: getcursor/cursor diff --git a/labeled_data/technology/ai/generative_ai/infrastructure/vector_database.yml b/labeled_data/technology/ai/generative_ai/infrastructure/vector_database.yml index 8ffed248b..5fd5983f8 100644 --- a/labeled_data/technology/ai/generative_ai/infrastructure/vector_database.yml +++ b/labeled_data/technology/ai/generative_ai/infrastructure/vector_database.yml @@ -1,28 +1,53 @@ name: Artificial Intelligence - infrastructure - vector database type: Tech-1 data: - github_repo: - - 208728772 # milvus-io/milvus - - 81227005 # facebookresearch/faiss - - 11309795 # nmslib/nmslib - - 55072677 # weaviate/weaviate - - 388946490 # facebookincubator/velox - - 11627513 # guokr/simbase - - 268163609 # qdrant/qdrant - - 670778224 # Mintplex-Labs/vector-admin - - 664872761 # lanterndata/lantern - - 520096046 # marqo-ai/marqo - - 664133375 # epsilla-cloud/vectordb - - 551374215 # cozodb/cozo - - 478288303 # nuclia/nucliadb - - 628230315 # tensorchord/pgvecto.rs - - 598328694 # Azure-Samples/qdrant-azure - - 628503457 # jdagdelen/hyperDB - - 635374751 # jina-ai/vectordb - - 201403923 # activeloopai/deeplake - - 416959991 # dingodb/dingo - - 512438377 # DutytoDevelop/VDBLITE - - 9155431 # spotify/annoy - - 160775368 # vitrivr/cottontaildb - - 667164544 # xyntopia/vexvault - \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 208728772 + name: milvus-io/milvus + - id: 81227005 + name: facebookresearch/faiss + - id: 11309795 + name: nmslib/nmslib + - id: 55072677 + name: weaviate/weaviate + - id: 388946490 + name: facebookincubator/velox + - id: 11627513 + name: guokr/simbase + - id: 268163609 + name: qdrant/qdrant + - id: 670778224 + name: Mintplex-Labs/vector-admin + - id: 664872761 + name: lanterndata/lantern + - id: 520096046 + name: marqo-ai/marqo + - id: 664133375 + name: epsilla-cloud/vectordb + - id: 551374215 + name: cozodb/cozo + - id: 478288303 + name: nuclia/nucliadb + - id: 628230315 + name: tensorchord/pgvecto.rs + - id: 598328694 + name: Azure-Samples/qdrant-azure + - id: 628503457 + name: jdagdelen/hyperDB + - id: 635374751 + name: jina-ai/vectordb + - id: 201403923 + name: activeloopai/deeplake + - id: 416959991 + name: dingodb/dingo + - id: 512438377 + name: DutytoDevelop/VDBLITE + - id: 9155431 + name: spotify/annoy + - id: 160775368 + name: vitrivr/cottontaildb + - id: 667164544 + name: xyntopia/vexvault diff --git a/labeled_data/technology/ai/generative_ai/model/framework_and_architecture.yml b/labeled_data/technology/ai/generative_ai/model/framework_and_architecture.yml index 2cb800f0e..6bfcc1e22 100644 --- a/labeled_data/technology/ai/generative_ai/model/framework_and_architecture.yml +++ b/labeled_data/technology/ai/generative_ai/model/framework_and_architecture.yml @@ -1,14 +1,27 @@ name: Artificial Intelligence - model - framework & architecture type: Tech-1 data: - github_repo: - - 615708882 # repo:prompt-engineering/chat-flow - - 647198683 # repo:archguard/co-mate - - 660551251 # repo:geekan/MetaGPT - - 642942708 # repo:Forethought-Technologies/AutoChain - - 614765452 # repo:Significant-Gravitas/AutoGPT - - 657802907 # repo:rogeriochaves/langstream - - 618613272 # repo:h2oai/h2ogpt - - 653496050 # repo:xorbitsai/inference - - 671912468 # repo:epfLLM/Megatron-LLM - - 662878020 # repo:InternLM/InternLM \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 615708882 + name: prompt-engineering/chat-flow + - id: 647198683 + name: archguard/co-mate + - id: 660551251 + name: geekan/MetaGPT + - id: 642942708 + name: Forethought-Technologies/AutoChain + - id: 614765452 + name: Significant-Gravitas/AutoGPT + - id: 657802907 + name: rogeriochaves/langstream + - id: 618613272 + name: h2oai/h2ogpt + - id: 653496050 + name: xorbitsai/inference + - id: 671912468 + name: epfLLM/Megatron-LLM + - id: 662878020 + name: InternLM/InternLM diff --git a/labeled_data/technology/ai/generative_ai/model/fundamental_model.yml b/labeled_data/technology/ai/generative_ai/model/fundamental_model.yml index 713c7db1b..f0c91e7ab 100644 --- a/labeled_data/technology/ai/generative_ai/model/fundamental_model.yml +++ b/labeled_data/technology/ai/generative_ai/model/fundamental_model.yml @@ -1,12 +1,23 @@ name: Artificial Intelligence - model - fundamental model type: Tech-1 data: - github_repo: - - 155220641 # huggingface/transformers - - 633841936 # dandelionsllm/pandallm - - 632503648 # repo:OpenBMB/CPM-Bee - - 170067246 # repo:openai/gpt-2 - - 264870386 # repo:openai/gpt-3 - - 601538369 # repo:facebookresearch/llama - - 552661142 # repo:langchain-ai/langchain - - 685444668 # repo:baichuan-inc/Baichuan2 \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 155220641 + name: huggingface/transformers + - id: 633841936 + name: dandelionsllm/pandallm + - id: 632503648 + name: OpenBMB/CPM-Bee + - id: 170067246 + name: openai/gpt-2 + - id: 264870386 + name: openai/gpt-3 + - id: 601538369 + name: facebookresearch/llama + - id: 552661142 + name: langchain-ai/langchain + - id: 685444668 + name: baichuan-inc/Baichuan2 diff --git a/labeled_data/technology/ai/generative_ai/model/index.yml b/labeled_data/technology/ai/generative_ai/model/index.yml index e6028d8ba..d511a28c5 100644 --- a/labeled_data/technology/ai/generative_ai/model/index.yml +++ b/labeled_data/technology/ai/generative_ai/model/index.yml @@ -1,20 +1,39 @@ name: Model type: Tech-1 data: - github_repo: - - 619959033 # repo:nomic-ai/gpt4all - - 618058471 # repo:facebookresearch/segment-anything - - 155220641 # repo:huggingface/transformers - - 523379232 # repo:compvis/stable-diffusion - - 541269386 # repo:ggerganov/whisper.cpp - - 601538369 # repo:facebookresearch/llama - - 612354784 # repo:ggerganov/llama.cpp - - 612427246 # repo:tatsu-lab/stanford_alpaca - - 624994625 # repo:suno-ai/bark - - 628419800 # repo:vision-cair/minigpt-4 - - 574116196 # repo:tloen/alpaca-lora - - 630023030 # repo:stability-ai/stablelm - - 620936652 # repo:xtekky/gpt4free - - 628296906 # repo:openlmlab/moss - - 569927055 # repo:Stability-AI/stablediffusion - - 650945129 # repo:facebookresearch/audiocraft + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 619959033 + name: nomic-ai/gpt4all + - id: 618058471 + name: facebookresearch/segment-anything + - id: 155220641 + name: huggingface/transformers + - id: 523379232 + name: compvis/stable-diffusion + - id: 541269386 + name: ggerganov/whisper.cpp + - id: 601538369 + name: facebookresearch/llama + - id: 612354784 + name: ggerganov/llama.cpp + - id: 612427246 + name: tatsu-lab/stanford_alpaca + - id: 624994625 + name: suno-ai/bark + - id: 628419800 + name: vision-cair/minigpt-4 + - id: 574116196 + name: tloen/alpaca-lora + - id: 630023030 + name: stability-ai/stablelm + - id: 620936652 + name: xtekky/gpt4free + - id: 628296906 + name: openlmlab/moss + - id: 569927055 + name: Stability-AI/stablediffusion + - id: 650945129 + name: facebookresearch/audiocraft diff --git a/labeled_data/technology/ai/generative_ai/model/variant_model.yml b/labeled_data/technology/ai/generative_ai/model/variant_model.yml index 53656cb31..ea8bfe49d 100644 --- a/labeled_data/technology/ai/generative_ai/model/variant_model.yml +++ b/labeled_data/technology/ai/generative_ai/model/variant_model.yml @@ -1,53 +1,105 @@ name: Artificial Intelligence - model - variant model type: Tech-1 data: - github_repo: - - 173626887 # nshepperd/gpt-2 - - 644071541 # princeton-nlp/MeZO - - 596424141 # amazon-science/mm-cot - - 647525305 # repo:QingruZhang/AdaLoRA - - 602270517 # repo:FMInference/FlexGen - - 580089997 # repo:itsnamgyu/reasoning-teacher - - 652712035 # repo:lyogavin/Anima - - 653595084 # repo:baichuan-inc/baichuan-7B - - 643449711 # repo:huchenxucs/ChatDB - - 608892940 # repo:togethercomputer/OpenChatKit - - 636234426 # repo:thunlp/WebCPM - - 601538369 # repo:facebookresearch/llama - - 669686044 # repo:karpathy/llama2.c - - 612427246 # repo:tatsu-lab/stanford_alpaca - - 638949180 # repo:Neutralzz/BiLLa - - 621826122 # repo:SCIR-HI/Huatuo-Llama-Med-Chinese - - 645685068 # repo:yanqiangmiffy/GoGPT - - 537603333 # repo:openai/whisper - - 645397533 # repo:imoneoi/openchat - - 634224458 # repo:AntonOsika/gpt-engineer - - 630023030 # repo:Stability-AI/StableLM - - 621118467 # repo:microsoft/JARVIS - - 628419800 # repo:Vision-CAIR/MiniGPT-4 - - 288108533 # repo:karpathy/minGPT - - 582822129 # repo:karpathy/nanoGPT - - 627744002 # repo:muellerberndt/mini-agi - - 618511002 # repo:databrickslabs/dolly - - 624236959 # repo:Instruction-Tuning-with-GPT-4/GPT-4-LLM - - 612427246 # repo:tatsu-lab/stanford_alpaca - - 632244130 # repo:X-PLUG/mPLUG-Owl - - 575603626 # repo:microsoft/i-Code - - 663101722 # repo:CStanKonrad/long_llama - - 667583509 # repo:microsoft/Llama-2-Onnx - - 653595084 # repo:baichuan-inc/Baichuan-7B - - 664752008 # repo:baichuan-inc/Baichuan-13B - - 613349035 # repo:THUDM/ChatGLM-6B - - 657895120 # repo:THUDM/ChatGLM2-6B - - 628296906 # repo:OpenLMLab/MOSS - - 654612931 # repo:ictnlp/BayLing - - 649782269 # repo:RUC-GSAI/YuLan-Chat - - 674075444 # repo:QwenLM/Qwen - - 672449777 # repo:HIT-SCIR/huozi - - 673701787 # repo:XiaoMi/MiLM-6B - - 614325365 # repo:ymcui/Chinese-LLaMA-Alpaca - - 668052031 # repo:ymcui/Chinese-LLaMA-Alpaca-2 - - 668122773 # repo:FlagAlpha/Llama2-Chinese - - 634401249 # repo:WeOpenML/PandaLM - - 189511050 # repo:Morizeyao/GPT2-Chinese - - 632781258 # repo:mosaicml/diffusion \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 173626887 + name: nshepperd/gpt-2 + - id: 644071541 + name: princeton-nlp/MeZO + - id: 596424141 + name: amazon-science/mm-cot + - id: 647525305 + name: QingruZhang/AdaLoRA + - id: 602270517 + name: FMInference/FlexGen + - id: 580089997 + name: itsnamgyu/reasoning-teacher + - id: 652712035 + name: lyogavin/Anima + - id: 653595084 + name: baichuan-inc/baichuan-7B + - id: 643449711 + name: huchenxucs/ChatDB + - id: 608892940 + name: togethercomputer/OpenChatKit + - id: 636234426 + name: thunlp/WebCPM + - id: 601538369 + name: facebookresearch/llama + - id: 669686044 + name: karpathy/llama2.c + - id: 612427246 + name: tatsu-lab/stanford_alpaca + - id: 638949180 + name: Neutralzz/BiLLa + - id: 621826122 + name: SCIR-HI/Huatuo-Llama-Med-Chinese + - id: 645685068 + name: yanqiangmiffy/GoGPT + - id: 537603333 + name: openai/whisper + - id: 645397533 + name: imoneoi/openchat + - id: 634224458 + name: AntonOsika/gpt-engineer + - id: 630023030 + name: Stability-AI/StableLM + - id: 621118467 + name: microsoft/JARVIS + - id: 628419800 + name: Vision-CAIR/MiniGPT-4 + - id: 288108533 + name: karpathy/minGPT + - id: 582822129 + name: karpathy/nanoGPT + - id: 627744002 + name: muellerberndt/mini-agi + - id: 618511002 + name: databrickslabs/dolly + - id: 624236959 + name: Instruction-Tuning-with-GPT-4/GPT-4-LLM + - id: 612427246 + name: tatsu-lab/stanford_alpaca + - id: 632244130 + name: X-PLUG/mPLUG-Owl + - id: 575603626 + name: microsoft/i-Code + - id: 663101722 + name: CStanKonrad/long_llama + - id: 667583509 + name: microsoft/Llama-2-Onnx + - id: 653595084 + name: baichuan-inc/Baichuan-7B + - id: 664752008 + name: baichuan-inc/Baichuan-13B + - id: 613349035 + name: THUDM/ChatGLM-6B + - id: 657895120 + name: THUDM/ChatGLM2-6B + - id: 628296906 + name: OpenLMLab/MOSS + - id: 654612931 + name: ictnlp/BayLing + - id: 649782269 + name: RUC-GSAI/YuLan-Chat + - id: 674075444 + name: QwenLM/Qwen + - id: 672449777 + name: HIT-SCIR/huozi + - id: 673701787 + name: XiaoMi/MiLM-6B + - id: 614325365 + name: ymcui/Chinese-LLaMA-Alpaca + - id: 668052031 + name: ymcui/Chinese-LLaMA-Alpaca-2 + - id: 668122773 + name: FlagAlpha/Llama2-Chinese + - id: 634401249 + name: WeOpenML/PandaLM + - id: 189511050 + name: Morizeyao/GPT2-Chinese + - id: 632781258 + name: mosaicml/diffusion diff --git a/labeled_data/technology/ai/generative_ai/tool/deployment_tool.yml b/labeled_data/technology/ai/generative_ai/tool/deployment_tool.yml index 67733ef44..1e631e29c 100644 --- a/labeled_data/technology/ai/generative_ai/tool/deployment_tool.yml +++ b/labeled_data/technology/ai/generative_ai/tool/deployment_tool.yml @@ -1,8 +1,15 @@ name: Artificial Intelligence - tool - deployment tool type: Tech-1 data: - github_repo: - - 674187265 # repo:AmineDiro/cria - - 599547518 # repo:vllm-project/vllm - - 634081686 # repo:mlc-ai/mlc-llm - - 630249429 # repo:lamini-ai/lamini \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 674187265 + name: AmineDiro/cria + - id: 599547518 + name: vllm-project/vllm + - id: 634081686 + name: mlc-ai/mlc-llm + - id: 630249429 + name: lamini-ai/lamini diff --git a/labeled_data/technology/ai/generative_ai/tool/develop_tool.yml b/labeled_data/technology/ai/generative_ai/tool/develop_tool.yml index 99cace4c6..05d4a77d2 100644 --- a/labeled_data/technology/ai/generative_ai/tool/develop_tool.yml +++ b/labeled_data/technology/ai/generative_ai/tool/develop_tool.yml @@ -1,21 +1,41 @@ name: Artificial Intelligence - tool - develop tool type: Tech-1 data: - github_repo: - - 670778224 # Mintplex-Labs/vector-admin - - 626306555 # repo:unit-mesh/devti - - 627920448 # repo:unit-mesh/auto-dev - - 441778458 # repo:EleutherAI/pythia - - 639161229 # repo:poe-platform/server-bot-quick-start - - 616372661 # repo:binary-husky/gpt_academic - - 621258412 # repo:TencentARC-QQ/TagGPT - - 567185522 # repo:microsoft/torchscale - - 616992960 # repo:gd3kr/BlenderGPT - - 299282745 # repo:AIGMix/AIGCJson - - 422274596 # repo:hpcaitech/ColossalAI - - 616083282 # repo:OpenGVLab/LLaMA-Adapter - - 650549146 # repo:melih-unsal/DemoGPT - - 676608269 # repo:mshumer/gpt-llm-trainer - - 492713876 # repo:FlagAI-Open/FlagAI - - 525592995 # repo:invoke-ai/InvokeAI - - 631258918 # repo:gventuri/pandas-ai \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 670778224 + name: Mintplex-Labs/vector-admin + - id: 626306555 + name: unit-mesh/devti + - id: 627920448 + name: unit-mesh/auto-dev + - id: 441778458 + name: EleutherAI/pythia + - id: 639161229 + name: poe-platform/server-bot-quick-start + - id: 616372661 + name: binary-husky/gpt_academic + - id: 621258412 + name: TencentARC-QQ/TagGPT + - id: 567185522 + name: microsoft/torchscale + - id: 616992960 + name: gd3kr/BlenderGPT + - id: 299282745 + name: AIGMix/AIGCJson + - id: 422274596 + name: hpcaitech/ColossalAI + - id: 616083282 + name: OpenGVLab/LLaMA-Adapter + - id: 650549146 + name: melih-unsal/DemoGPT + - id: 676608269 + name: mshumer/gpt-llm-trainer + - id: 492713876 + name: FlagAI-Open/FlagAI + - id: 525592995 + name: invoke-ai/InvokeAI + - id: 631258918 + name: gventuri/pandas-ai diff --git a/labeled_data/technology/ai/generative_ai/tool/index.yml b/labeled_data/technology/ai/generative_ai/tool/index.yml index 3d64ff825..321b107a1 100644 --- a/labeled_data/technology/ai/generative_ai/tool/index.yml +++ b/labeled_data/technology/ai/generative_ai/tool/index.yml @@ -1,20 +1,39 @@ name: Tool type: Tech-1 data: - github_repo: - - 614765452 # repo:significant-gravitas/auto-gpt - - 527591471 # repo:automatic1111/stable-diffusion-webui - - 552661142 # repo:hwchase17/langchain - - 635240594 # repo:imartinez/privategpt - - 624681066 # repo:reworkd/agentgpt - - 621118467 # repo:microsoft/jarvis - - 617798408 # repo:openai/chatgpt-retrieval-plugin - - 560704231 # repo:jerryjliu/llama_index - - 235860204 # repo:microsoft/DeepSpeed - - 580642043 # repo:oobabooga/text-generation-webui - - 422274596 # repo:hpcaitech/colossalai - - 613075789 # repo:cocktailpeanut/dalai - - 564443255 # repo:microsoft/guidance - - 621803253 # repo:flowiseai/flowise - - 640182997 # repo:transformeroptimus/superagi - - 644715009 # repo:promtengineer/localgpt + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 614765452 + name: significant-gravitas/auto-gpt + - id: 527591471 + name: automatic1111/stable-diffusion-webui + - id: 552661142 + name: hwchase17/langchain + - id: 635240594 + name: imartinez/privategpt + - id: 624681066 + name: reworkd/agentgpt + - id: 621118467 + name: microsoft/jarvis + - id: 617798408 + name: openai/chatgpt-retrieval-plugin + - id: 560704231 + name: jerryjliu/llama_index + - id: 235860204 + name: microsoft/DeepSpeed + - id: 580642043 + name: oobabooga/text-generation-webui + - id: 422274596 + name: hpcaitech/colossalai + - id: 613075789 + name: cocktailpeanut/dalai + - id: 564443255 + name: microsoft/guidance + - id: 621803253 + name: flowiseai/flowise + - id: 640182997 + name: transformeroptimus/superagi + - id: 644715009 + name: promtengineer/localgpt diff --git a/labeled_data/technology/ai/generative_ai/tool/production_monitor.yml b/labeled_data/technology/ai/generative_ai/tool/production_monitor.yml index 9254aa382..41dbd6f26 100644 --- a/labeled_data/technology/ai/generative_ai/tool/production_monitor.yml +++ b/labeled_data/technology/ai/generative_ai/tool/production_monitor.yml @@ -1,6 +1,11 @@ name: Artificial Intelligence - production monitor type: Tech-1 data: - github_repo: - - 639699692 # repo:hkust-nlp/ceval - - 642020947 # repo:RUCAIBox/POPE \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 639699692 + name: hkust-nlp/ceval + - id: 642020947 + name: RUCAIBox/POPE diff --git a/labeled_data/technology/ai/generative_ai/tool/prompt_engineering.yml b/labeled_data/technology/ai/generative_ai/tool/prompt_engineering.yml index 59117894c..149f2f83e 100644 --- a/labeled_data/technology/ai/generative_ai/tool/prompt_engineering.yml +++ b/labeled_data/technology/ai/generative_ai/tool/prompt_engineering.yml @@ -1,12 +1,23 @@ name: Artificial Intelligence - tool - prompt engineering type: Tech-1 data: - github_repo: - - 658453192 # hegelai/prompttools - - 608934156 # repo:prompt-engineering/click-prompt - - 618903393 # repo:Moonvy/OpenPromptStudio - - 579082810 # repo:dair-ai/Prompt-Engineering-Guide - - 574523116 # repo:f/awesome-chatgpt-prompts - - 631484230 # repo:LearnPrompt/LearnPrompt - - 630249429 # repo:lamini-ai/lamini - - 586758655 # repo:travistangvh/ChatGPT-Data-Science-Prompts \ No newline at end of file + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 658453192 + name: hegelai/prompttools + - id: 608934156 + name: prompt-engineering/click-prompt + - id: 618903393 + name: Moonvy/OpenPromptStudio + - id: 579082810 + name: dair-ai/Prompt-Engineering-Guide + - id: 574523116 + name: f/awesome-chatgpt-prompts + - id: 631484230 + name: LearnPrompt/LearnPrompt + - id: 630249429 + name: lamini-ai/lamini + - id: 586758655 + name: travistangvh/ChatGPT-Data-Science-Prompts diff --git a/labeled_data/technology/ai/index.yml b/labeled_data/technology/ai/index.yml index 8f55bbbb2..03ed4efa2 100644 --- a/labeled_data/technology/ai/index.yml +++ b/labeled_data/technology/ai/index.yml @@ -1,146 +1,288 @@ name: Artificial Intelligence type: Tech-0 data: - label: + labels: - generative_ai - large_language_model - github_repo: - - 45717250 # tensorflow/tensorflow - - 164642888 # repo:kimiyoung/transformer-xl - - 192689297 # repo:zihangdai/xlnet - - 91379993 # repo:tensorflow/tensorboard - - 94218531 # repo:lanpa/tensorboardX - - 156293205 # repo:pytorch/xla - - 154739597 # repo:google/jax - - 38377423 # repo:google/deepdream - - 423593369 # repo:google-research/t5x - - 139064580 # repo:tensorflow/adanet - - 142422739 # repo:google/dopamine - - 331071860 # repo:google/model_search - - 112647343 # repo:kubeflow/kubeflow - - 186457418 # repo:google-research/tensor2robot - - 65600975 # repo:pytorch/pytorch - - 206660580 # repo:facebookresearch/detectron2 - - 136069311 # repo:facebookresearch/DensePose - - 63484632 # repo:facebookresearch/fastText - - 217433767 # repo:facebookresearch/pytorch3d - - 81227005 # repo:facebookresearch/faiss - - 186526115 # repo:facebookresearch/dlrm - - 143080897 # repo:facebookresearch/pytext - - 33015583 # repo:keras-team/keras - - 102692863 # repo:onnx/onnx - - 36914478 # repo:chainer/chainer - - 13677187 # repo:torch/torch7 - - 12791642 # repo:BVLC/caffe - - 38066334 # repo:facebookarchive/caffe2 - - 377851948 # repo:deepmind/alphafold - - 75190475 # repo:deepmind/lab - - 144027556 # repo:deepmind/trfl - - 198232685 # repo:deepmind/open_spiel - - 98336690 # repo:deepmind/pysc2 - - 200259166 # repo:deepmind/bsuite - - 299862 # repo:nltk/nltk - - 259878805 # repo:microsoft/InnerEye-DeepLearning - - 156939672 # repo:microsoft/onnxruntime - - 235468657 # repo:PipedreamHQ/pipedream - - 181388576 # repo:microsoft/NeuronBlocks - - 184704903 # repo:interpretml/interpret - - 46918116 # repo:microsoft/CNTK - - 135673451 # repo:microsoft/nni - - 235860204 # repo:microsoft/DeepSpeed - - 59032201 # repo:microsoft/malmo - - 362276202 # repo:Azure/counterfit - - 34864402 # repo:apache/mxnet - - 70746484 # repo:apache/tvm - - 20089859 # repo:apache/mahout - - 2740148 # repo:apache/opennlp - - 45896813 # repo:apache/systemds - - 7827081 # repo:apache/predictionio - - 2183193 # repo:Theano/Theano - - 199509705 # repo:autogluon/autogluon - - 161846808 # repo:neo-ai/neo-ai-dlr - - 57222302 # repo:openai/gym - - 843222 # repo:scikit-learn/scikit-learn - - 136914524 # repo:flairNLP/flair - - 46130068 # repo:Artelnics/opennn - - 144782044 # repo:NVIDIA/vid2vid - - 184657328 # repo:NVIDIA/TensorRT - - 135768037 # repo:NVIDIA/DALI - - 221787282 # repo:NVIDIAGameWorks/kaolin - - 175539152 # repo:NVlabs/SPADE - - 176982014 # repo:NVIDIA/Megatron-LM - - 173961960 # repo:SharpAI/DeepCamera - - 216628419 # repo:flyteorg/flyte - - 1198539 # repo:lutzroeder/netron - - 1349775 # repo:RaRe-Technologies/gensim - - 1885237 # repo:statsmodels/statsmodels - - 99846383 # repo:horovod/horovod - - 169798869 # repo:uber/manifold - - 11008076 # repo:stanfordnlp/CoreNLP - - 14734876 # repo:deeplearning4j/deeplearning4j - - 908607 # repo:numpy/numpy - - 209120637 # repo:Netflix/metaflow - - 146165888 # repo:ultralytics/yolov3 - - 134292654 # repo:eriklindernoren/PyTorch-YOLOv3 - - 153097643 # repo:openvinotoolkit/openvino - - 59299524 # repo:MycroftAI/mycroft-core - - 5108051 # repo:opencv/opencv - - 65711522 # repo:PaddlePaddle/Paddle - - 262296122 # repo:PaddlePaddle/PaddleOCR - - 217475193 # repo:PaddlePaddle/PaddleDetection - - 162672577 # repo:PaddlePaddle/PaddleHub - - 336274588 # repo:PaddlePaddle/PaddleNLP - - 204380779 # repo:PaddlePaddle/PaddleSeg - - 110688239 # repo:PaddlePaddle/PaddleSpeech - - 273214029 # repo:PaddlePaddle/PaddleGAN - - 251201169 # repo:PaddlePaddle/PaddleClas - - 246509073 # repo:PaddlePaddle/PaddleX - - 259513732 # repo:PaddlePaddle/PaddleRec - - 104208128 # repo:PaddlePaddle/Paddle-Lite - - 228290594 # repo:PaddlePaddle/PaddleSlim - - 312259012 # repo:PaddlePaddle/PaddleVideo - - 173544440 # repo:PaddlePaddle/ERNIE - - 17371412 # repo:h2oai/h2o-3 - - 21467110 # repo:explosion/spaCy - - 248248401 # repo:Jittor/jittor - - 248175118 # repo:MegEngine/MegEngine - - 81634683 # repo:Oneflow-Inc/oneflow - - 181436799 # repo:alibaba/MNN - - 165004157 # repo:alibaba/euler - - 478484453 # repo:alibaba/EasyNLP - - 319496271 # repo:alibaba/EasyRec - - 476918521 # repo:alibaba/EasyCV - - 292165029 # repo:alibaba/EasyTransfer - - 154232678 # repo:sql-machine-learning/elasticdl - - 151525500 # repo:sql-machine-learning/sqlflow - - 239714835 # repo:mindspore-ai/mindspore - - 96246170 # repo:ApolloAuto/apollo - - 138826968 # repo:XiaoMi/mace - - 34275045 # repo:kaldi-asr/kaldi - - 193652854 # repo:bytedance/byteps - - 235348659 # repo:bytedance/fedlearner - - 89322848 # repo:Angel-ML/angel - - 95879426 # repo:Tencent/ncnn - - 155518202 # repo:Tencent/PocketFlow - - 220415098 # repo:Tencent/plato - - 112770118 # repo:Qihoo360/XLearning - - 208728772 # repo:milvus-io/milvus - - 143589809 # repo:lancopku/pkuseg-python - - 145670234 # repo:open-mmlab/mmdetection - - 145670155 # repo:open-mmlab/mmcv - - 272133018 # repo:open-mmlab/mmsegmentation - - 278003645 # repo:open-mmlab/mmpose - - 355559187 # repo:open-mmlab/mmocr - - 278415292 # repo:open-mmlab/mmclassification - - 277982133 # repo:open-mmlab/mmdetection3d - - 278810244 # repo:open-mmlab/mmaction2 - - 203999962 # repo:open-mmlab/mmediting - - 460236391 # repo:open-mmlab/mmrotate - - 68132933 # repo:seetaface/SeetaFaceEngine - - 199149606 # repo:didi/AoE - - 182849188 # repo:delta-io/delta - - 115765590 # repo:OAID/Tengine - - 319193033 # repo:WeBankFinTech/Prophecis - - 167349656 # repo:FederatedAI/FATE - - 252486500 # repo:DeepWisdom/AutoDL - - 24976755 # repo:hankcs/HanLP + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 45717250 + name: tensorflow/tensorflow + - id: 164642888 + name: kimiyoung/transformer-xl + - id: 192689297 + name: zihangdai/xlnet + - id: 91379993 + name: tensorflow/tensorboard + - id: 94218531 + name: lanpa/tensorboardX + - id: 156293205 + name: pytorch/xla + - id: 154739597 + name: google/jax + - id: 38377423 + name: google/deepdream + - id: 423593369 + name: google-research/t5x + - id: 139064580 + name: tensorflow/adanet + - id: 142422739 + name: google/dopamine + - id: 331071860 + name: google/model_search + - id: 112647343 + name: kubeflow/kubeflow + - id: 186457418 + name: google-research/tensor2robot + - id: 65600975 + name: pytorch/pytorch + - id: 206660580 + name: facebookresearch/detectron2 + - id: 136069311 + name: facebookresearch/DensePose + - id: 63484632 + name: facebookresearch/fastText + - id: 217433767 + name: facebookresearch/pytorch3d + - id: 81227005 + name: facebookresearch/faiss + - id: 186526115 + name: facebookresearch/dlrm + - id: 143080897 + name: facebookresearch/pytext + - id: 33015583 + name: keras-team/keras + - id: 102692863 + name: onnx/onnx + - id: 36914478 + name: chainer/chainer + - id: 13677187 + name: torch/torch7 + - id: 12791642 + name: BVLC/caffe + - id: 38066334 + name: facebookarchive/caffe2 + - id: 377851948 + name: deepmind/alphafold + - id: 75190475 + name: deepmind/lab + - id: 144027556 + name: deepmind/trfl + - id: 198232685 + name: deepmind/open_spiel + - id: 98336690 + name: deepmind/pysc2 + - id: 200259166 + name: deepmind/bsuite + - id: 299862 + name: nltk/nltk + - id: 259878805 + name: microsoft/InnerEye-DeepLearning + - id: 156939672 + name: microsoft/onnxruntime + - id: 235468657 + name: PipedreamHQ/pipedream + - id: 181388576 + name: microsoft/NeuronBlocks + - id: 184704903 + name: interpretml/interpret + - id: 46918116 + name: microsoft/CNTK + - id: 135673451 + name: microsoft/nni + - id: 235860204 + name: microsoft/DeepSpeed + - id: 59032201 + name: microsoft/malmo + - id: 362276202 + name: Azure/counterfit + - id: 34864402 + name: apache/mxnet + - id: 70746484 + name: apache/tvm + - id: 20089859 + name: apache/mahout + - id: 2740148 + name: apache/opennlp + - id: 45896813 + name: apache/systemds + - id: 7827081 + name: apache/predictionio + - id: 2183193 + name: Theano/Theano + - id: 199509705 + name: autogluon/autogluon + - id: 161846808 + name: neo-ai/neo-ai-dlr + - id: 57222302 + name: openai/gym + - id: 843222 + name: scikit-learn/scikit-learn + - id: 136914524 + name: flairNLP/flair + - id: 46130068 + name: Artelnics/opennn + - id: 144782044 + name: NVIDIA/vid2vid + - id: 184657328 + name: NVIDIA/TensorRT + - id: 135768037 + name: NVIDIA/DALI + - id: 221787282 + name: NVIDIAGameWorks/kaolin + - id: 175539152 + name: NVlabs/SPADE + - id: 176982014 + name: NVIDIA/Megatron-LM + - id: 173961960 + name: SharpAI/DeepCamera + - id: 216628419 + name: flyteorg/flyte + - id: 1198539 + name: lutzroeder/netron + - id: 1349775 + name: RaRe-Technologies/gensim + - id: 1885237 + name: statsmodels/statsmodels + - id: 99846383 + name: horovod/horovod + - id: 169798869 + name: uber/manifold + - id: 11008076 + name: stanfordnlp/CoreNLP + - id: 14734876 + name: deeplearning4j/deeplearning4j + - id: 908607 + name: numpy/numpy + - id: 209120637 + name: Netflix/metaflow + - id: 146165888 + name: ultralytics/yolov3 + - id: 134292654 + name: eriklindernoren/PyTorch-YOLOv3 + - id: 153097643 + name: openvinotoolkit/openvino + - id: 59299524 + name: MycroftAI/mycroft-core + - id: 5108051 + name: opencv/opencv + - id: 65711522 + name: PaddlePaddle/Paddle + - id: 262296122 + name: PaddlePaddle/PaddleOCR + - id: 217475193 + name: PaddlePaddle/PaddleDetection + - id: 162672577 + name: PaddlePaddle/PaddleHub + - id: 336274588 + name: PaddlePaddle/PaddleNLP + - id: 204380779 + name: PaddlePaddle/PaddleSeg + - id: 110688239 + name: PaddlePaddle/PaddleSpeech + - id: 273214029 + name: PaddlePaddle/PaddleGAN + - id: 251201169 + name: PaddlePaddle/PaddleClas + - id: 246509073 + name: PaddlePaddle/PaddleX + - id: 259513732 + name: PaddlePaddle/PaddleRec + - id: 104208128 + name: PaddlePaddle/Paddle-Lite + - id: 228290594 + name: PaddlePaddle/PaddleSlim + - id: 312259012 + name: PaddlePaddle/PaddleVideo + - id: 173544440 + name: PaddlePaddle/ERNIE + - id: 17371412 + name: h2oai/h2o-3 + - id: 21467110 + name: explosion/spaCy + - id: 248248401 + name: Jittor/jittor + - id: 248175118 + name: MegEngine/MegEngine + - id: 81634683 + name: Oneflow-Inc/oneflow + - id: 181436799 + name: alibaba/MNN + - id: 165004157 + name: alibaba/euler + - id: 478484453 + name: alibaba/EasyNLP + - id: 319496271 + name: alibaba/EasyRec + - id: 476918521 + name: alibaba/EasyCV + - id: 292165029 + name: alibaba/EasyTransfer + - id: 154232678 + name: sql-machine-learning/elasticdl + - id: 151525500 + name: sql-machine-learning/sqlflow + - id: 239714835 + name: mindspore-ai/mindspore + - id: 96246170 + name: ApolloAuto/apollo + - id: 138826968 + name: XiaoMi/mace + - id: 34275045 + name: kaldi-asr/kaldi + - id: 193652854 + name: bytedance/byteps + - id: 235348659 + name: bytedance/fedlearner + - id: 89322848 + name: Angel-ML/angel + - id: 95879426 + name: Tencent/ncnn + - id: 155518202 + name: Tencent/PocketFlow + - id: 220415098 + name: Tencent/plato + - id: 112770118 + name: Qihoo360/XLearning + - id: 208728772 + name: milvus-io/milvus + - id: 143589809 + name: lancopku/pkuseg-python + - id: 145670234 + name: open-mmlab/mmdetection + - id: 145670155 + name: open-mmlab/mmcv + - id: 272133018 + name: open-mmlab/mmsegmentation + - id: 278003645 + name: open-mmlab/mmpose + - id: 355559187 + name: open-mmlab/mmocr + - id: 278415292 + name: open-mmlab/mmclassification + - id: 277982133 + name: open-mmlab/mmdetection3d + - id: 278810244 + name: open-mmlab/mmaction2 + - id: 203999962 + name: open-mmlab/mmediting + - id: 460236391 + name: open-mmlab/mmrotate + - id: 68132933 + name: seetaface/SeetaFaceEngine + - id: 199149606 + name: didi/AoE + - id: 182849188 + name: delta-io/delta + - id: 115765590 + name: OAID/Tengine + - id: 319193033 + name: WeBankFinTech/Prophecis + - id: 167349656 + name: FederatedAI/FATE + - id: 252486500 + name: DeepWisdom/AutoDL + - id: 24976755 + name: hankcs/HanLP diff --git a/labeled_data/technology/ai/large_language_model/index.yml b/labeled_data/technology/ai/large_language_model/index.yml index 3deb95ea3..39e769df7 100644 --- a/labeled_data/technology/ai/large_language_model/index.yml +++ b/labeled_data/technology/ai/large_language_model/index.yml @@ -1,27 +1,53 @@ name: Large Language Model type: Tech-0 data: - github_repo: - - 612427246 # repo:atatsu-lab/stanford_alpaca - - 614803132 # repo:antimatter15/alpaca.cpp - - 574116196 # repo:tloen/alpaca-lora - - 155220641 # repo:huggingface/transformers - - 573819845 # repo:acheong08/chatgpt - - 154747577 # google-research/bert - - 170067246 # repo:openai/gpt-2 - - 264870386 # repo:openai/gpt-3 - - 176982014 # NVIDIA/Megatron-LM - - 423593369 # google-research/t5x - - 158606045 # remoteinterview/zero - - 398647982 # google-research/FLAN - - 437985376 # bigscience-workshop/t-zero - - 630292680 # 0hq/WebGPT - - 120541397 # openai/retro - - 451691015 # openai/following-instructions-human-feedback - - 488004650 # facebookresearch/metaseq - - 330044683 # google/BIG-bench - - 521021013 # THUDM/GLM-130B - - 432968463 # stanford-crfm/helm - - 601538369 # facebookresearch/llama - - 198350484 # microsoft/unilm - - 441778458 # EleutherAI/pythia + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 612427246 + name: atatsu-lab/stanford_alpaca + - id: 614803132 + name: antimatter15/alpaca.cpp + - id: 574116196 + name: tloen/alpaca-lora + - id: 155220641 + name: huggingface/transformers + - id: 573819845 + name: acheong08/chatgpt + - id: 154747577 + name: google-research/bert + - id: 170067246 + name: openai/gpt-2 + - id: 264870386 + name: openai/gpt-3 + - id: 176982014 + name: NVIDIA/Megatron-LM + - id: 423593369 + name: google-research/t5x + - id: 158606045 + name: remoteinterview/zero + - id: 398647982 + name: google-research/FLAN + - id: 437985376 + name: bigscience-workshop/t-zero + - id: 630292680 + name: 0hq/WebGPT + - id: 120541397 + name: openai/retro + - id: 451691015 + name: openai/following-instructions-human-feedback + - id: 488004650 + name: facebookresearch/metaseq + - id: 330044683 + name: google/BIG-bench + - id: 521021013 + name: THUDM/GLM-130B + - id: 432968463 + name: stanford-crfm/helm + - id: 601538369 + name: facebookresearch/llama + - id: 198350484 + name: microsoft/unilm + - id: 441778458 + name: EleutherAI/pythia diff --git a/labeled_data/technology/big_data/analysis_engine.yml b/labeled_data/technology/big_data/analysis_engine.yml index c95b95128..1ff5b8ffe 100644 --- a/labeled_data/technology/big_data/analysis_engine.yml +++ b/labeled_data/technology/big_data/analysis_engine.yml @@ -1,38 +1,75 @@ name: Big Data - Analysis Engine type: Tech-1 data: - github_repo: - - 17165658 # repo:apache/spark - - 60246359 # repo:ClickHouse/ClickHouse - - 5349565 # repo:prestodb/presto - - 84240850 # repo:timescale/timescaledb - - 6358188 # repo:apache/druid - - 206424 # repo:apache/cassandra - - 166515022 # repo:trinodb/trino - - 334274271 # repo:opensearch-project/OpenSearch - - 138754790 # repo:duckdb/duckdb - - 99919302 # repo:apache/doris - - 20089857 # repo:apache/hbase - - 206444 # repo:apache/hive - - 50229487 # repo:apache/lucene-solr - - 19961085 # repo:apache/pinot - - 28738447 # repo:apache/kylin - - 206417 # repo:apache/couchdb - - 402945349 # repo:StarRocks/starrocks - - 149626591 # repo:uber/aresdb - - 158975124 # repo:apache/iotdb - - 141376301 # repo:apache/incubator-hugegraph - - 44781140 # repo:greenplum-db/gpdb - - 5683653 # repo:apache/drill - - 202483348 # repo:apache/incubator-kvrocks - - 358917318 # repo:apache/arrow-datafusion - - 9342529 # repo:crate/crate - - 341631350 # repo:apache/lucene - - 20473418 # repo:apache/phoenix - - 56128733 # repo:apache/impala - - 59475316 # repo:eventql/eventql - - 41952293 # repo:apache/hawq - - 206357 # repo:apache/pig - - 341374920 # repo:apache/solr - - 9290699 # repo:apache/tez - - 507775 # repo:elastic/elasticsearch + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 17165658 + name: apache/spark + - id: 60246359 + name: ClickHouse/ClickHouse + - id: 5349565 + name: prestodb/presto + - id: 84240850 + name: timescale/timescaledb + - id: 6358188 + name: apache/druid + - id: 206424 + name: apache/cassandra + - id: 166515022 + name: trinodb/trino + - id: 334274271 + name: opensearch-project/OpenSearch + - id: 138754790 + name: duckdb/duckdb + - id: 99919302 + name: apache/doris + - id: 20089857 + name: apache/hbase + - id: 206444 + name: apache/hive + - id: 50229487 + name: apache/lucene-solr + - id: 19961085 + name: apache/pinot + - id: 28738447 + name: apache/kylin + - id: 206417 + name: apache/couchdb + - id: 402945349 + name: StarRocks/starrocks + - id: 149626591 + name: uber/aresdb + - id: 158975124 + name: apache/iotdb + - id: 141376301 + name: apache/incubator-hugegraph + - id: 44781140 + name: greenplum-db/gpdb + - id: 5683653 + name: apache/drill + - id: 202483348 + name: apache/incubator-kvrocks + - id: 358917318 + name: apache/arrow-datafusion + - id: 9342529 + name: crate/crate + - id: 341631350 + name: apache/lucene + - id: 20473418 + name: apache/phoenix + - id: 56128733 + name: apache/impala + - id: 59475316 + name: eventql/eventql + - id: 41952293 + name: apache/hawq + - id: 206357 + name: apache/pig + - id: 341374920 + name: apache/solr + - id: 9290699 + name: apache/tez + - id: 507775 + name: elastic/elasticsearch diff --git a/labeled_data/technology/big_data/data_development.yml b/labeled_data/technology/big_data/data_development.yml index 59cb7229c..d10a08689 100644 --- a/labeled_data/technology/big_data/data_development.yml +++ b/labeled_data/technology/big_data/data_development.yml @@ -1,8 +1,15 @@ name: Big Data - Data Development type: Tech-1 data: - github_repo: - - 33653601 # repo:jupyter/notebook - - 32848140 # repo:apache/zeppelin - - 23653453 # repo:pachyderm/pachyderm - - 384111310 # repo:apache/incubator-devlake + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 33653601 + name: jupyter/notebook + - id: 32848140 + name: apache/zeppelin + - id: 23653453 + name: pachyderm/pachyderm + - id: 384111310 + name: apache/incubator-devlake diff --git a/labeled_data/technology/big_data/data_integration.yml b/labeled_data/technology/big_data/data_integration.yml index 5e09f62b4..2a4a54a40 100644 --- a/labeled_data/technology/big_data/data_integration.yml +++ b/labeled_data/technology/big_data/data_integration.yml @@ -1,14 +1,27 @@ name: Big Data - Data Integration type: Tech-1 data: - github_repo: - - 117965972 # repo:alibaba/DataX - - 50205233 # repo:debezium/debezium - - 283046497 # repo:airbytehq/airbyte - - 53548867 # repo:dbt-labs/dbt-core - - 206317 # repo:apache/camel - - 99412308 # repo:apache/incubator-seatunnel - - 282994686 # repo:ververica/flink-cdc-connectors - - 2153096 # repo:apache/sqoop - - 231533573 # repo:apache/inlong - - 2198510 # repo:apache/flume + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 117965972 + name: alibaba/DataX + - id: 50205233 + name: debezium/debezium + - id: 283046497 + name: airbytehq/airbyte + - id: 53548867 + name: dbt-labs/dbt-core + - id: 206317 + name: apache/camel + - id: 99412308 + name: apache/incubator-seatunnel + - id: 282994686 + name: ververica/flink-cdc-connectors + - id: 2153096 + name: apache/sqoop + - id: 231533573 + name: apache/inlong + - id: 2198510 + name: apache/flume diff --git a/labeled_data/technology/big_data/data_storage.yml b/labeled_data/technology/big_data/data_storage.yml index f5efa0c98..121eca9e1 100644 --- a/labeled_data/technology/big_data/data_storage.yml +++ b/labeled_data/technology/big_data/data_storage.yml @@ -1,19 +1,37 @@ name: Big Data - Data Storage type: Tech-1 data: - github_repo: - - 327859577 # repo:juicedata/juicefs - - 76474200 # repo:apache/hudi - - 158256479 # repo:apache/iceberg - - 7276954 # repo:Alluxio/alluxio - - 206459 # repo:apache/avro - - 182849188 # repo:delta-io/delta - - 3786237 # repo:hazelcast/hazelcast - - 20675636 # repo:apache/parquet-mr - - 1575956 # repo:apache/bookkeeper - - 50647838 # repo:apache/kudu - - 41712332 # repo:apache/incubator-pegasus - - 62117818 # repo:apache/carbondata - - 20675635 # repo:apache/parquet-format - - 212382406 # repo:apache/ozone - - 25507371 # repo:apache/hadoop-hdfs + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 327859577 + name: juicedata/juicefs + - id: 76474200 + name: apache/hudi + - id: 158256479 + name: apache/iceberg + - id: 7276954 + name: Alluxio/alluxio + - id: 206459 + name: apache/avro + - id: 182849188 + name: delta-io/delta + - id: 3786237 + name: hazelcast/hazelcast + - id: 20675636 + name: apache/parquet-mr + - id: 1575956 + name: apache/bookkeeper + - id: 50647838 + name: apache/kudu + - id: 41712332 + name: apache/incubator-pegasus + - id: 62117818 + name: apache/carbondata + - id: 20675635 + name: apache/parquet-format + - id: 212382406 + name: apache/ozone + - id: 25507371 + name: apache/hadoop-hdfs diff --git a/labeled_data/technology/big_data/index.yml b/labeled_data/technology/big_data/index.yml index 84693a40c..1baff7a15 100644 --- a/labeled_data/technology/big_data/index.yml +++ b/labeled_data/technology/big_data/index.yml @@ -1,7 +1,7 @@ name: Big Data type: Tech-0 data: - label: + labels: - visualization - analysis_engine - scheduler diff --git a/labeled_data/technology/big_data/others.yml b/labeled_data/technology/big_data/others.yml index b2c6be592..78457680f 100644 --- a/labeled_data/technology/big_data/others.yml +++ b/labeled_data/technology/big_data/others.yml @@ -1,13 +1,25 @@ name: Big Data - Others type: Tech-1 data: - github_repo: - - 49876476 # repo:apache/shardingsphere - - 149026292 # repo:cube-js/cube.js - - 23418517 # repo:apache/hadoop - - 46398090 # repo:datahub-project/datahub - - 21193524 # repo:apache/calcite - - 198368711 # repo:apache/incubator-linkis - - 114619105 # repo:apache/incubator-kyuubi - - 2155500 # repo:apache/bigtop - - 17310686 # repo:apache/knox + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 49876476 + name: apache/shardingsphere + - id: 149026292 + name: cube-js/cube.js + - id: 23418517 + name: apache/hadoop + - id: 46398090 + name: datahub-project/datahub + - id: 21193524 + name: apache/calcite + - id: 198368711 + name: apache/incubator-linkis + - id: 114619105 + name: apache/incubator-kyuubi + - id: 2155500 + name: apache/bigtop + - id: 17310686 + name: apache/knox diff --git a/labeled_data/technology/big_data/scheduler.yml b/labeled_data/technology/big_data/scheduler.yml index 130e9b65d..3f9611c29 100644 --- a/labeled_data/technology/big_data/scheduler.yml +++ b/labeled_data/technology/big_data/scheduler.yml @@ -1,16 +1,31 @@ name: Big Data - Scheduler type: Tech-1 data: - github_repo: - - 33884891 # repo:apache/airflow - - 160999 # repo:apache/zookeeper - - 51905353 # repo:apache/arrow - - 139199684 # repo:PrefectHQ/prefect - - 173335706 # repo:apache/dolphinscheduler - - 131619646 # repo:dagster-io/dagster - - 27911088 # repo:apache/nifi - - 204164353 # repo:kestra-io/kestra - - 2442457 # repo:apache/ambari - - 98013453 # repo:apache/atlas - - 2383782 # repo:apache/oozie - - 22305416 # repo:apache/ranger + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 33884891 + name: apache/airflow + - id: 160999 + name: apache/zookeeper + - id: 51905353 + name: apache/arrow + - id: 139199684 + name: PrefectHQ/prefect + - id: 173335706 + name: apache/dolphinscheduler + - id: 131619646 + name: dagster-io/dagster + - id: 27911088 + name: apache/nifi + - id: 204164353 + name: kestra-io/kestra + - id: 2442457 + name: apache/ambari + - id: 98013453 + name: apache/atlas + - id: 2383782 + name: apache/oozie + - id: 22305416 + name: apache/ranger diff --git a/labeled_data/technology/big_data/streaming.yml b/labeled_data/technology/big_data/streaming.yml index 6c570f41c..8ec4beed3 100644 --- a/labeled_data/technology/big_data/streaming.yml +++ b/labeled_data/technology/big_data/streaming.yml @@ -1,12 +1,23 @@ name: Big Data - Streaming type: Tech-1 data: - github_repo: - - 2211243 # repo:apache/kafka - - 20587599 # repo:apache/flink - - 62117812 # repo:apache/pulsar - - 50904245 # repo:apache/beam - - 14135470 # repo:apache/storm - - 43158694 # repo:apache/incubator-heron - - 32199982 # repo:apache/samza - - 188779637 # repo:apache/incubator-streampark + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 2211243 + name: apache/kafka + - id: 20587599 + name: apache/flink + - id: 62117812 + name: apache/pulsar + - id: 50904245 + name: apache/beam + - id: 14135470 + name: apache/storm + - id: 43158694 + name: apache/incubator-heron + - id: 32199982 + name: apache/samza + - id: 188779637 + name: apache/incubator-streampark diff --git a/labeled_data/technology/big_data/visualization.yml b/labeled_data/technology/big_data/visualization.yml index 7b457785c..059522c8f 100644 --- a/labeled_data/technology/big_data/visualization.yml +++ b/labeled_data/technology/big_data/visualization.yml @@ -1,28 +1,55 @@ name: Big Data - Visualization type: Tech-1 data: - github_repo: - - 943149 # repo:d3/d3 - - 9185792 # repo:apache/echarts - - 15111821 # repo:grafana/grafana - - 39464018 # repo:apache/superset - - 30203935 # repo:metabase/metabase - - 13926404 # repo:getredash/redash - - 1385122 # repo:matplotlib/matplotlib - - 85095608 # repo:airbnb/visx - - 45646037 # repo:plotly/plotly.js - - 59737212 # repo:antvis/G2 - - 4704710 # repo:mwaskom/seaborn - - 11496279 # repo:c3js/c3 - - 123345344 # repo:keplergl/kepler.gl - - 335164964 # repo:dataease/dataease - - 110222380 # repo:alibaba/BizCharts - - 39979936 # repo:nhn/tui.chart - - 156293506 # repo:microsoft/SandDance - - 102447494 # repo:edp963/davinci - - 96424863 # repo:TalkingData/inmap - - 159273440 # repo:shzlw/poli - - 8357227 # repo:biolab/orange3 - - 37276906 # repo:keen/explorer - - 54937496 # repo:PatMartin/Dex - - 7833168 # repo:elastic/kibana + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 943149 + name: d3/d3 + - id: 9185792 + name: apache/echarts + - id: 15111821 + name: grafana/grafana + - id: 39464018 + name: apache/superset + - id: 30203935 + name: metabase/metabase + - id: 13926404 + name: getredash/redash + - id: 1385122 + name: matplotlib/matplotlib + - id: 85095608 + name: airbnb/visx + - id: 45646037 + name: plotly/plotly.js + - id: 59737212 + name: antvis/G2 + - id: 4704710 + name: mwaskom/seaborn + - id: 11496279 + name: c3js/c3 + - id: 123345344 + name: keplergl/kepler.gl + - id: 335164964 + name: dataease/dataease + - id: 110222380 + name: alibaba/BizCharts + - id: 39979936 + name: nhn/tui.chart + - id: 156293506 + name: microsoft/SandDance + - id: 102447494 + name: edp963/davinci + - id: 96424863 + name: TalkingData/inmap + - id: 159273440 + name: shzlw/poli + - id: 8357227 + name: biolab/orange3 + - id: 37276906 + name: keen/explorer + - id: 54937496 + name: PatMartin/Dex + - id: 7833168 + name: elastic/kibana diff --git a/labeled_data/technology/blockchain/index.yml b/labeled_data/technology/blockchain/index.yml index 24985d95c..ea9f52c2e 100644 --- a/labeled_data/technology/blockchain/index.yml +++ b/labeled_data/technology/blockchain/index.yml @@ -1,45 +1,89 @@ name: Block Chain type: Tech-0 data: - github_repo: - - 45500099 # repo:hyperledger/hyperledger - - 66573241 # repo:hyperledger/fabric - - 57901437 # repo:hyperledger/sawtooth-core - - 1181927 # repo:bitcoin/bitcoin - - 14531737 # repo:bitcoin/bips - - 15452919 # repo:ethereum/go-ethereum - - 40892817 # repo:ethereum/solidity - - 44971752 # repo:ethereum/EIPs - - 248697283 # repo:ethereum/remix-project - - 37350472 # repo:ElementsProject/lightning - - 37064937 # repo:ElementsProject/elements - - 87335980 # repo:EOSIO/eos - - 70137417 # repo:corda/corda - - 111455867 # repo:smartcontractkit/chainlink - - 2724167 # repo:XRPLF/rippled - - 188299874 # repo:input-output-hk/cardano-node - - 70913997 # repo:input-output-hk/cardano-sl - - 73670742 # repo:ConsenSys/quorum - - 44123252 # repo:bitshares/bitshares-core - - 41630316 # repo:HydraChain/hydrachain - - 77599938 # repo:MultiChain/multichain - - 147593889 # repo:thundercore/thundercore-localchain - - 83774906 # repo:qtumproject/qtum - - 26987049 # repo:zcash/zcash - - 56426975 # repo:wavesplatform/Waves - - 113932055 # repo:FISCO-BCOS/FISCO-BCOS - - 38267641 # repo:trufflesuite/truffle - - 128089774 # repo:storj/storj - - 97181001 # repo:Bytom/bytom - - 36613036 # repo:neo-project/neo - - 97869781 # repo:citahub/cita - - 24655114 # repo:web3/web3.js - - 36172821 # repo:embarklabs/embark - - 27085821 # repo:stellar/stellar-core - - 188339686 # repo:xuperchain/xuperchain - - 177701551 # repo:blockchain-jd-com/jdchain - - 133392857 # repo:vitelabs/go-vite - - 88845839 # repo:33cn/chain33 - - 127714540 # repo:dappledger/AnnChain - - 162993816 # repo:ntminer/NtMiner - - 8508768 # repo:seriesseed/equity + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 45500099 + name: hyperledger/hyperledger + - id: 66573241 + name: hyperledger/fabric + - id: 57901437 + name: hyperledger/sawtooth-core + - id: 1181927 + name: bitcoin/bitcoin + - id: 14531737 + name: bitcoin/bips + - id: 15452919 + name: ethereum/go-ethereum + - id: 40892817 + name: ethereum/solidity + - id: 44971752 + name: ethereum/EIPs + - id: 248697283 + name: ethereum/remix-project + - id: 37350472 + name: ElementsProject/lightning + - id: 37064937 + name: ElementsProject/elements + - id: 87335980 + name: EOSIO/eos + - id: 70137417 + name: corda/corda + - id: 111455867 + name: smartcontractkit/chainlink + - id: 2724167 + name: XRPLF/rippled + - id: 188299874 + name: input-output-hk/cardano-node + - id: 70913997 + name: input-output-hk/cardano-sl + - id: 73670742 + name: ConsenSys/quorum + - id: 44123252 + name: bitshares/bitshares-core + - id: 41630316 + name: HydraChain/hydrachain + - id: 77599938 + name: MultiChain/multichain + - id: 147593889 + name: thundercore/thundercore-localchain + - id: 83774906 + name: qtumproject/qtum + - id: 26987049 + name: zcash/zcash + - id: 56426975 + name: wavesplatform/Waves + - id: 113932055 + name: FISCO-BCOS/FISCO-BCOS + - id: 38267641 + name: trufflesuite/truffle + - id: 128089774 + name: storj/storj + - id: 97181001 + name: Bytom/bytom + - id: 36613036 + name: neo-project/neo + - id: 97869781 + name: citahub/cita + - id: 24655114 + name: web3/web3.js + - id: 36172821 + name: embarklabs/embark + - id: 27085821 + name: stellar/stellar-core + - id: 188339686 + name: xuperchain/xuperchain + - id: 177701551 + name: blockchain-jd-com/jdchain + - id: 133392857 + name: vitelabs/go-vite + - id: 88845839 + name: 33cn/chain33 + - id: 127714540 + name: dappledger/AnnChain + - id: 162993816 + name: ntminer/NtMiner + - id: 8508768 + name: seriesseed/equity diff --git a/labeled_data/technology/cloud_native/app_definition_and_development/application_definition_and_image_build.yml b/labeled_data/technology/cloud_native/app_definition_and_development/application_definition_and_image_build.yml index 701e1cd27..d7174eed8 100644 --- a/labeled_data/technology/cloud_native/app_definition_and_development/application_definition_and_image_build.yml +++ b/labeled_data/technology/cloud_native/app_definition_and_development/application_definition_and_image_build.yml @@ -1,48 +1,96 @@ -name: Cloud Native - App Definition and Development - Application Definition & Image Build +name: Cloud Native - App Definition and Development - Application Definition & + Image Build type: Tech-2 data: - github_repo: - - 233809604 # repo:artifacthub/hub - - 236095576 # repo:backstage/backstage - - 138544269 # repo:buildpacks/pack - - 173207060 # repo:vmware-tanzu/carvel-ytt - - 36098429 # repo:habitat-sh/habitat - - 126647111 # repo:cloud-ark/kubeplus - - 226084465 # repo:devfile/api - - 145153231 # repo:loft-sh/devspace - - 15045751 # repo:docker/compose - - 32935745 # repo:eclipse/che - - 429510684 # repo:gefyrahq/gefyra - - 302322 # repo:gradle/gradle - - 43723161 # repo:helm/helm - - 119419195 # repo:GoogleContainerTools/kaniko - - 303758423 # repo:konveyor/community - - 198856247 # repo:replicatedhq/kots - - 368314469 # repo:krator-rs/krator - - 218249592 # repo:kubermatic/kubecarrier - - 450404132 # repo:teamcode-inc/kubeorbit - - 276822250 # repo:kubevela/kubevela - - 76686583 # repo:kubevirt/kubevirt - - 158545617 # repo:kudobuilder/kudo - - 159242360 # repo:kubernetes-sigs/kui - - 101875675 # repo:uselagoon/lagoon - - 373775141 # repo:kubeshop/monokle - - 311269921 # repo:nocalhost/nocalhost - - 192779991 # repo:vmware-tanzu/octant - - 143846881 # repo:okteto/okteto - - 191840044 # repo:oam-dev/spec - - 62855546 # repo:openservicebrokerapi/servicebroker - - 17372733 # repo:OAI/OpenAPI-Specification - - 120650407 # repo:operator-framework/operator-sdk - - 8966356 # repo:hashicorp/packer - - 109145553 # repo:containers/podman - - 155893691 # repo:getporter/porter - - 362675427 # repo:alibaba/sealer - - 264246502 # repo:serverlessworkflow/specification - - 91674936 # repo:apache/servicecomb-java-chassis - - 358693091 # repo:shipwright-io/community - - 118654121 # repo:GoogleContainerTools/skaffold - - 100131598 # repo:solo-io/squash - - 197374067 # repo:grafana/tanka - - 82933315 # repo:telepresenceio/telepresence - - 143896900 # repo:tilt-dev/tilt + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 233809604 + name: artifacthub/hub + - id: 236095576 + name: backstage/backstage + - id: 138544269 + name: buildpacks/pack + - id: 173207060 + name: vmware-tanzu/carvel-ytt + - id: 36098429 + name: habitat-sh/habitat + - id: 126647111 + name: cloud-ark/kubeplus + - id: 226084465 + name: devfile/api + - id: 145153231 + name: loft-sh/devspace + - id: 15045751 + name: docker/compose + - id: 32935745 + name: eclipse/che + - id: 429510684 + name: gefyrahq/gefyra + - id: 302322 + name: gradle/gradle + - id: 43723161 + name: helm/helm + - id: 119419195 + name: GoogleContainerTools/kaniko + - id: 303758423 + name: konveyor/community + - id: 198856247 + name: replicatedhq/kots + - id: 368314469 + name: krator-rs/krator + - id: 218249592 + name: kubermatic/kubecarrier + - id: 450404132 + name: teamcode-inc/kubeorbit + - id: 276822250 + name: kubevela/kubevela + - id: 76686583 + name: kubevirt/kubevirt + - id: 158545617 + name: kudobuilder/kudo + - id: 159242360 + name: kubernetes-sigs/kui + - id: 101875675 + name: uselagoon/lagoon + - id: 373775141 + name: kubeshop/monokle + - id: 311269921 + name: nocalhost/nocalhost + - id: 192779991 + name: vmware-tanzu/octant + - id: 143846881 + name: okteto/okteto + - id: 191840044 + name: oam-dev/spec + - id: 62855546 + name: openservicebrokerapi/servicebroker + - id: 17372733 + name: OAI/OpenAPI-Specification + - id: 120650407 + name: operator-framework/operator-sdk + - id: 8966356 + name: hashicorp/packer + - id: 109145553 + name: containers/podman + - id: 155893691 + name: getporter/porter + - id: 362675427 + name: alibaba/sealer + - id: 264246502 + name: serverlessworkflow/specification + - id: 91674936 + name: apache/servicecomb-java-chassis + - id: 358693091 + name: shipwright-io/community + - id: 118654121 + name: GoogleContainerTools/skaffold + - id: 100131598 + name: solo-io/squash + - id: 197374067 + name: grafana/tanka + - id: 82933315 + name: telepresenceio/telepresence + - id: 143896900 + name: tilt-dev/tilt diff --git a/labeled_data/technology/cloud_native/app_definition_and_development/continuous_integration_and_delivery.yml b/labeled_data/technology/cloud_native/app_definition_and_development/continuous_integration_and_delivery.yml index 0f0eb141f..1c625b9eb 100644 --- a/labeled_data/technology/cloud_native/app_definition_and_development/continuous_integration_and_delivery.yml +++ b/labeled_data/technology/cloud_native/app_definition_and_development/continuous_integration_and_delivery.yml @@ -1,37 +1,74 @@ -name: Cloud Native - App Definition and Development - Continuous Integration & Delivery +name: Cloud Native - App Definition and Development - Continuous Integration & + Delivery type: Tech-2 data: - github_repo: - - 188402099 # repo:agola-io/agola - - 120896210 # repo:argoproj/argo-cd - - 100982449 # repo:argoproj/argo-workflows - - 108049853 # repo:brigadecore/brigade - - 333303663 # repo:bytebase/bytebase - - 402102657 # repo:vmware-tanzu/cartographer - - 18950460 # repo:concourse/concourse - - 302922505 # repo:devtron-labs/devtron - - 173335706 # repo:apache/dolphinscheduler - - 16607898 # repo:harness/drone - - 149515625 # repo:fluxcd/flagger - - 258469100 # repo:fluxcd/flux2 - - 2500088 # repo:gitlabhq/gitlabhq - - 15155534 # repo:gocd/gocd - - 214396571 # repo:hyscale/hyscale - - 1103607 # repo:jenkinsci/jenkins - - 116400734 # repo:jenkins-x/jx - - 54400687 # repo:grafana/k6 - - 449649393 # repo:keploy/keploy - - 166831098 # repo:keptn/keptn - - 458214571 # repo:open-feature/community - - 384241097 # repo:open-gitops/project - - 189490177 # repo:openkruise/kruise - - 84104787 # repo:ortelius/ortelius - - 271714774 # repo:pipe-cd/pipecd - - 187084432 # repo:razee-io/Razee - - 59517730 # repo:screwdriver-cd/screwdriver - - 21436816 # repo:spinnaker/spinnaker - - 146641150 # repo:tektoncd/pipeline - - 381952060 # repo:kubeshop/testkube - - 4693087 # repo:travis-ci/travis-web - - 50365232 # repo:werf/werf - - 179344069 # repo:woodpecker-ci/woodpecker + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 188402099 + name: agola-io/agola + - id: 120896210 + name: argoproj/argo-cd + - id: 100982449 + name: argoproj/argo-workflows + - id: 108049853 + name: brigadecore/brigade + - id: 333303663 + name: bytebase/bytebase + - id: 402102657 + name: vmware-tanzu/cartographer + - id: 18950460 + name: concourse/concourse + - id: 302922505 + name: devtron-labs/devtron + - id: 173335706 + name: apache/dolphinscheduler + - id: 16607898 + name: harness/drone + - id: 149515625 + name: fluxcd/flagger + - id: 258469100 + name: fluxcd/flux2 + - id: 2500088 + name: gitlabhq/gitlabhq + - id: 15155534 + name: gocd/gocd + - id: 214396571 + name: hyscale/hyscale + - id: 1103607 + name: jenkinsci/jenkins + - id: 116400734 + name: jenkins-x/jx + - id: 54400687 + name: grafana/k6 + - id: 449649393 + name: keploy/keploy + - id: 166831098 + name: keptn/keptn + - id: 458214571 + name: open-feature/community + - id: 384241097 + name: open-gitops/project + - id: 189490177 + name: openkruise/kruise + - id: 84104787 + name: ortelius/ortelius + - id: 271714774 + name: pipe-cd/pipecd + - id: 187084432 + name: razee-io/Razee + - id: 59517730 + name: screwdriver-cd/screwdriver + - id: 21436816 + name: spinnaker/spinnaker + - id: 146641150 + name: tektoncd/pipeline + - id: 381952060 + name: kubeshop/testkube + - id: 4693087 + name: travis-ci/travis-web + - id: 50365232 + name: werf/werf + - id: 179344069 + name: woodpecker-ci/woodpecker diff --git a/labeled_data/technology/cloud_native/app_definition_and_development/database.yml b/labeled_data/technology/cloud_native/app_definition_and_development/database.yml index b66665fb4..4cb5f13c4 100644 --- a/labeled_data/technology/cloud_native/app_definition_and_development/database.yml +++ b/labeled_data/technology/cloud_native/app_definition_and_development/database.yml @@ -1,47 +1,93 @@ name: Cloud Native - App Definition and Development - Database type: Tech-2 data: - github_repo: - - 62117818 # repo:apache/carbondata - - 23418517 # repo:apache/hadoop - - 31006158 # repo:apache/ignite - - 2649214 # repo:arangodb/arangodb - - 51290852 # repo:bigchaindb/bigchaindb - - 206424 # repo:apache/cassandra - - 60246359 # repo:ClickHouse/ClickHouse - - 3180703 # repo:couchbase/manifest - - 9342529 # repo:crate/crate - - 83363132 # repo:CrunchyData/postgres-operator - - 125824259 # repo:xtdb/xtdb - - 302827809 # repo:datafuselabs/databend - - 6358188 # repo:apache/druid - - 114187903 # repo:apple/foundationdb - - 307894865 # repo:alibaba/graphscope - - 1050944 # repo:infinispan/infinispan - - 19816070 # repo:MariaDB/server - - 24494032 # repo:mysql/mysql-server - - 146459443 # repo:vesoft-inc/nebula - - 6650539 # repo:neo4j/neo4j - - 36778364 # repo:attic-labs/noms - - 7083240 # repo:orientechnologies/orientdb - - 30753733 # repo:percona/percona-server - - 40127179 # repo:pilosa/pilosa - - 927442 # repo:postgres/postgres - - 166515022 # repo:trinodb/trino - - 156018 # repo:redis/redis - - 6452529 # repo:rethinkdb/rethinkdb - - 151700458 # repo:scalar-labs/scalardb - - 183834521 # repo:schemahero/schemahero - - 28449431 # repo:scylladb/scylla - - 163387337 # repo:seata/seata - - 49876476 # repo:apache/shardingsphere - - 396856161 # repo:authzed/spicedb - - 43884372 # repo:sorintlab/stolon - - 911980 # repo:tarantool/tarantool - - 196353673 # repo:taosdata/TDengine - - 41986369 # repo:pingcap/tidb - - 48833910 # repo:tikv/tikv - - 11008207 # repo:vitessio/vitess - - 2445970 # repo:voltdb/voltdb - - 55072677 # repo:semi-technologies/weaviate - - 105944401 # repo:YugaByte/yugabyte-db + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 62117818 + name: apache/carbondata + - id: 23418517 + name: apache/hadoop + - id: 31006158 + name: apache/ignite + - id: 2649214 + name: arangodb/arangodb + - id: 51290852 + name: bigchaindb/bigchaindb + - id: 206424 + name: apache/cassandra + - id: 60246359 + name: ClickHouse/ClickHouse + - id: 3180703 + name: couchbase/manifest + - id: 9342529 + name: crate/crate + - id: 83363132 + name: CrunchyData/postgres-operator + - id: 125824259 + name: xtdb/xtdb + - id: 302827809 + name: datafuselabs/databend + - id: 6358188 + name: apache/druid + - id: 114187903 + name: apple/foundationdb + - id: 307894865 + name: alibaba/graphscope + - id: 1050944 + name: infinispan/infinispan + - id: 19816070 + name: MariaDB/server + - id: 24494032 + name: mysql/mysql-server + - id: 146459443 + name: vesoft-inc/nebula + - id: 6650539 + name: neo4j/neo4j + - id: 36778364 + name: attic-labs/noms + - id: 7083240 + name: orientechnologies/orientdb + - id: 30753733 + name: percona/percona-server + - id: 40127179 + name: pilosa/pilosa + - id: 927442 + name: postgres/postgres + - id: 166515022 + name: trinodb/trino + - id: 156018 + name: redis/redis + - id: 6452529 + name: rethinkdb/rethinkdb + - id: 151700458 + name: scalar-labs/scalardb + - id: 183834521 + name: schemahero/schemahero + - id: 28449431 + name: scylladb/scylla + - id: 163387337 + name: seata/seata + - id: 49876476 + name: apache/shardingsphere + - id: 396856161 + name: authzed/spicedb + - id: 43884372 + name: sorintlab/stolon + - id: 911980 + name: tarantool/tarantool + - id: 196353673 + name: taosdata/TDengine + - id: 41986369 + name: pingcap/tidb + - id: 48833910 + name: tikv/tikv + - id: 11008207 + name: vitessio/vitess + - id: 2445970 + name: voltdb/voltdb + - id: 55072677 + name: semi-technologies/weaviate + - id: 105944401 + name: YugaByte/yugabyte-db diff --git a/labeled_data/technology/cloud_native/app_definition_and_development/index.yml b/labeled_data/technology/cloud_native/app_definition_and_development/index.yml index f2a3a8eb7..a79cdb223 100644 --- a/labeled_data/technology/cloud_native/app_definition_and_development/index.yml +++ b/labeled_data/technology/cloud_native/app_definition_and_development/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - App Definition and Development type: Tech-1 data: - label: + labels: - database - streaming_and_messaging - application_definition_and_image_build diff --git a/labeled_data/technology/cloud_native/app_definition_and_development/streaming_and_messaging.yml b/labeled_data/technology/cloud_native/app_definition_and_development/streaming_and_messaging.yml index 23f53d515..4cda42104 100644 --- a/labeled_data/technology/cloud_native/app_definition_and_development/streaming_and_messaging.yml +++ b/labeled_data/technology/cloud_native/app_definition_and_development/streaming_and_messaging.yml @@ -1,28 +1,55 @@ name: Cloud Native - App Definition and Development - Streaming & Messaging type: Tech-2 data: - github_repo: - - 43158694 # repo:apache/incubator-heron - - 27911088 # repo:apache/nifi - - 75164823 # repo:apache/rocketmq - - 17165658 # repo:apache/spark - - 14135470 # repo:apache/storm - - 50904245 # repo:apache/beam - - 419433905 # repo:cdevents/spec - - 113701924 # repo:cloudevents/spec - - 26390092 # repo:deepstreamIO/deepstream.io - - 7202769 # repo:emqx/emqx - - 20587599 # repo:apache/flink - - 205473061 # repo:infinyon/fluvio - - 2211243 # repo:apache/kafka - - 163074901 # repo:kubemq-io/kubemq-community - - 454372510 # repo:memphisdev/memphis-broker - - 6443435 # repo:nats-io/nats-server - - 86400116 # repo:openmessaging/openmessaging-java - - 63096822 # repo:pravega/pravega - - 62117812 # repo:apache/pulsar - - 924551 # repo:rabbitmq/rabbitmq-server - - 99412308 # repo:apache/incubator-seatunnel - - 18988631 # repo:siddhi-io/siddhi - - 58194180 # repo:strimzi/strimzi-kafka-operator - - 211798430 # repo:tremor-rs/tremor-runtime + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 43158694 + name: apache/incubator-heron + - id: 27911088 + name: apache/nifi + - id: 75164823 + name: apache/rocketmq + - id: 17165658 + name: apache/spark + - id: 14135470 + name: apache/storm + - id: 50904245 + name: apache/beam + - id: 419433905 + name: cdevents/spec + - id: 113701924 + name: cloudevents/spec + - id: 26390092 + name: deepstreamIO/deepstream.io + - id: 7202769 + name: emqx/emqx + - id: 20587599 + name: apache/flink + - id: 205473061 + name: infinyon/fluvio + - id: 2211243 + name: apache/kafka + - id: 163074901 + name: kubemq-io/kubemq-community + - id: 454372510 + name: memphisdev/memphis-broker + - id: 6443435 + name: nats-io/nats-server + - id: 86400116 + name: openmessaging/openmessaging-java + - id: 63096822 + name: pravega/pravega + - id: 62117812 + name: apache/pulsar + - id: 924551 + name: rabbitmq/rabbitmq-server + - id: 99412308 + name: apache/incubator-seatunnel + - id: 18988631 + name: siddhi-io/siddhi + - id: 58194180 + name: strimzi/strimzi-kafka-operator + - id: 211798430 + name: tremor-rs/tremor-runtime diff --git a/labeled_data/technology/cloud_native/index.yml b/labeled_data/technology/cloud_native/index.yml index ec83e4756..6308b3592 100644 --- a/labeled_data/technology/cloud_native/index.yml +++ b/labeled_data/technology/cloud_native/index.yml @@ -1,7 +1,7 @@ name: Cloud Native type: Tech-0 data: - label: + labels: - app_definition_and_development - observability_and_analysis - orchestration_and_management diff --git a/labeled_data/technology/cloud_native/observability_and_analysis/chaos_engineering.yml b/labeled_data/technology/cloud_native/observability_and_analysis/chaos_engineering.yml index 392044e67..d9a4d01fc 100644 --- a/labeled_data/technology/cloud_native/observability_and_analysis/chaos_engineering.yml +++ b/labeled_data/technology/cloud_native/observability_and_analysis/chaos_engineering.yml @@ -1,10 +1,19 @@ name: Cloud Native - Observability and Analysis - Chaos Engineering type: Tech-2 data: - github_repo: - - 206213815 # repo:chaos-mesh/chaos-mesh - - 104656275 # repo:chaostoolkit/chaostoolkit - - 175192867 # repo:chaosblade-io/chaosblade - - 72786190 # repo:linki/chaoskube - - 85039965 # repo:litmuschaos/litmus - - 113219762 # repo:powerfulseal/powerfulseal + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 206213815 + name: chaos-mesh/chaos-mesh + - id: 104656275 + name: chaostoolkit/chaostoolkit + - id: 175192867 + name: chaosblade-io/chaosblade + - id: 72786190 + name: linki/chaoskube + - id: 85039965 + name: litmuschaos/litmus + - id: 113219762 + name: powerfulseal/powerfulseal diff --git a/labeled_data/technology/cloud_native/observability_and_analysis/continuous_optimization.yml b/labeled_data/technology/cloud_native/observability_and_analysis/continuous_optimization.yml index d6dea6ea8..e798978b3 100644 --- a/labeled_data/technology/cloud_native/observability_and_analysis/continuous_optimization.yml +++ b/labeled_data/technology/cloud_native/observability_and_analysis/continuous_optimization.yml @@ -1,8 +1,15 @@ name: Cloud Native - Observability and Analysis - Continuous Optimization type: Tech-2 data: - github_repo: - - 429285098 # repo:gocrane/crane - - 274625369 # repo:infracost/infracost - - 178079595 # repo:kubecost/cost-model - - 178079595 # repo:opencost/opencost + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 429285098 + name: gocrane/crane + - id: 274625369 + name: infracost/infracost + - id: 178079595 + name: kubecost/cost-model + - id: 178079595 + name: opencost/opencost diff --git a/labeled_data/technology/cloud_native/observability_and_analysis/index.yml b/labeled_data/technology/cloud_native/observability_and_analysis/index.yml index 5801002a2..6dab95645 100644 --- a/labeled_data/technology/cloud_native/observability_and_analysis/index.yml +++ b/labeled_data/technology/cloud_native/observability_and_analysis/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Observability and Analysis type: Tech-1 data: - label: + labels: - monitoring - logging - tracing diff --git a/labeled_data/technology/cloud_native/observability_and_analysis/logging.yml b/labeled_data/technology/cloud_native/observability_and_analysis/logging.yml index d08df2c03..7a9d1c603 100644 --- a/labeled_data/technology/cloud_native/observability_and_analysis/logging.yml +++ b/labeled_data/technology/cloud_native/observability_and_analysis/logging.yml @@ -1,10 +1,19 @@ name: Cloud Native - Observability and Analysis - Logging type: Tech-2 data: - github_repo: - - 1918677 # repo:fluent/fluentd - - 129717717 # repo:grafana/loki - - 430536935 # repo:loggie-io/loggie - - 1090311 # repo:elastic/logstash - - 334274271 # repo:opensearch-project/opensearch - - 520784735 # repo:parseablehq/parseable + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 1918677 + name: fluent/fluentd + - id: 129717717 + name: grafana/loki + - id: 430536935 + name: loggie-io/loggie + - id: 1090311 + name: elastic/logstash + - id: 334274271 + name: opensearch-project/opensearch + - id: 520784735 + name: parseablehq/parseable diff --git a/labeled_data/technology/cloud_native/observability_and_analysis/monitoring.yml b/labeled_data/technology/cloud_native/observability_and_analysis/monitoring.yml index 65eb2ae48..b948780b5 100644 --- a/labeled_data/technology/cloud_native/observability_and_analysis/monitoring.yml +++ b/labeled_data/technology/cloud_native/observability_and_analysis/monitoring.yml @@ -1,43 +1,85 @@ name: Cloud Native - Observability and Analysis - Monitoring type: Tech-2 data: - github_repo: - - 16554739 # repo:elastic/beats - - 161628176 # repo:kubeshop/botkube - - 496143272 # repo:centreon/centreon - - 171669368 # repo:tribe29/checkmk - - 67793333 # repo:cortexproject/cortex - - 448599559 # repo:deepflowys/deepflow - - 55850689 # repo:open-falcon/falcon-plus - - 130035428 # repo:foniod/foniod - - 15111821 # repo:grafana/grafana - - 385634291 # repo:grafana/mimir - - 4254338 # repo:graphite-project/graphite-web - - 222612062 # repo:cilium/hubble - - 12440855 # repo:Icinga/icinga2 - - 13124802 # repo:influxdata/influxdb - - 120181748 # repo:kiali/kiali - - 137922416 # repo:kuberhealthy/kuberhealthy - - 191676087 # repo:lindb/lindb - - 61153677 # repo:m3db/m3 - - 16119670 # repo:NagiosEnterprises/nagioscore - - 10744183 # repo:netdata/netdata - - 138287889 # repo:Netis/packet-agent - - 139140778 # repo:NexClipper/NexClipper - - 244694886 # repo:didi/nightingale - - 95098170 # repo:OpenObservability/OpenMetrics - - 865412 # repo:OpenTSDB/opentsdb - - 316257595 # repo:opstrace/opstrace - - 243394576 # repo:pixie-io/pixie - - 6838921 # repo:prometheus/prometheus - - 252745692 # repo:timescale/promscale - - 82981995 # repo:sensu/sensu-go - - 527583905 # repo:runsidekick/sidekick - - 175833318 # repo:skooner-k8s/skooner - - 15926180 # repo:draios/sysdig - - 109162639 # repo:thanos-io/thanos - - 127344362 # repo:trickstercache/trickster - - 146327667 # repo:vectordotdev/vector - - 150954997 # repo:VictoriaMetrics/VictoriaMetrics - - 34659664 # repo:weaveworks/scope - - 17253775 # repo:zabbix/zabbix + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 16554739 + name: elastic/beats + - id: 161628176 + name: kubeshop/botkube + - id: 496143272 + name: centreon/centreon + - id: 171669368 + name: tribe29/checkmk + - id: 67793333 + name: cortexproject/cortex + - id: 448599559 + name: deepflowys/deepflow + - id: 55850689 + name: open-falcon/falcon-plus + - id: 130035428 + name: foniod/foniod + - id: 15111821 + name: grafana/grafana + - id: 385634291 + name: grafana/mimir + - id: 4254338 + name: graphite-project/graphite-web + - id: 222612062 + name: cilium/hubble + - id: 12440855 + name: Icinga/icinga2 + - id: 13124802 + name: influxdata/influxdb + - id: 120181748 + name: kiali/kiali + - id: 137922416 + name: kuberhealthy/kuberhealthy + - id: 191676087 + name: lindb/lindb + - id: 61153677 + name: m3db/m3 + - id: 16119670 + name: NagiosEnterprises/nagioscore + - id: 10744183 + name: netdata/netdata + - id: 138287889 + name: Netis/packet-agent + - id: 139140778 + name: NexClipper/NexClipper + - id: 244694886 + name: didi/nightingale + - id: 95098170 + name: OpenObservability/OpenMetrics + - id: 865412 + name: OpenTSDB/opentsdb + - id: 316257595 + name: opstrace/opstrace + - id: 243394576 + name: pixie-io/pixie + - id: 6838921 + name: prometheus/prometheus + - id: 252745692 + name: timescale/promscale + - id: 82981995 + name: sensu/sensu-go + - id: 527583905 + name: runsidekick/sidekick + - id: 175833318 + name: skooner-k8s/skooner + - id: 15926180 + name: draios/sysdig + - id: 109162639 + name: thanos-io/thanos + - id: 127344362 + name: trickstercache/trickster + - id: 146327667 + name: vectordotdev/vector + - id: 150954997 + name: VictoriaMetrics/VictoriaMetrics + - id: 34659664 + name: weaveworks/scope + - id: 17253775 + name: zabbix/zabbix diff --git a/labeled_data/technology/cloud_native/observability_and_analysis/tracing.yml b/labeled_data/technology/cloud_native/observability_and_analysis/tracing.yml index 776780704..54527eb46 100644 --- a/labeled_data/technology/cloud_native/observability_and_analysis/tracing.yml +++ b/labeled_data/technology/cloud_native/observability_and_analysis/tracing.yml @@ -1,16 +1,31 @@ name: Cloud Native - Observability and Analysis - Tracing type: Tech-2 data: - github_repo: - - 76088862 # repo:megaease/easeagent - - 99251094 # repo:elastic/apm-server - - 236055696 # repo:grafana/tempo - - 56342508 # repo:jaegertracing/jaeger - - 184620732 # repo:open-telemetry/community - - 46904685 # repo:opentracing/opentracing-go - - 25459400 # repo:pinpoint-apm/pinpoint - - 45721011 # repo:apache/skywalking - - 133340671 # repo:sofastack/sofa-tracer - - 31788540 # repo:spring-cloud/spring-cloud-sleuth - - 454341458 # repo:kubeshop/tracetest - - 4576305 # repo:openzipkin/zipkin + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 76088862 + name: megaease/easeagent + - id: 99251094 + name: elastic/apm-server + - id: 236055696 + name: grafana/tempo + - id: 56342508 + name: jaegertracing/jaeger + - id: 184620732 + name: open-telemetry/community + - id: 46904685 + name: opentracing/opentracing-go + - id: 25459400 + name: pinpoint-apm/pinpoint + - id: 45721011 + name: apache/skywalking + - id: 133340671 + name: sofastack/sofa-tracer + - id: 31788540 + name: spring-cloud/spring-cloud-sleuth + - id: 454341458 + name: kubeshop/tracetest + - id: 4576305 + name: openzipkin/zipkin diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/api_gateway.yml b/labeled_data/technology/cloud_native/orchestration_and_management/api_gateway.yml index e52c8c3c7..1edec5ce9 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/api_gateway.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/api_gateway.yml @@ -1,23 +1,45 @@ name: Cloud Native - Orchestration & Management - API Gateway type: Tech-2 data: - github_repo: - - 53965666 # repo:3scale/apicast - - 218068847 # repo:apioak/apioak - - 180481986 # repo:apache/apisix - - 295485450 # repo:azure/api-management - - 371564104 # repo:megaease/easegress - - 86740149 # repo:emissary-ingress/emissary - - 199619921 # repo:saarasio/enroute - - 118510171 # repo:solo-io/gloo - - 36487440 # repo:gravitee-io/gravitee-api-management - - 344331591 # repo:hango-io/hango-gateway - - 558188628 # repo:alibaba/higress - - 26783295 # repo:Kong/kong - - 72875399 # repo:luraproject/lura - - 408727871 # repo:kubeshop/kusk-gateway - - 7058562 # repo:mulesoft/mule - - 107638632 # repo:accenture/reactive-interaction-gateway - - 128018428 # repo:alibaba/Sentinel - - 19537979 # repo:TykTechnologies/tyk - - 134538006 # repo:wso2/product-microgateway + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 53965666 + name: 3scale/apicast + - id: 218068847 + name: apioak/apioak + - id: 180481986 + name: apache/apisix + - id: 295485450 + name: azure/api-management + - id: 371564104 + name: megaease/easegress + - id: 86740149 + name: emissary-ingress/emissary + - id: 199619921 + name: saarasio/enroute + - id: 118510171 + name: solo-io/gloo + - id: 36487440 + name: gravitee-io/gravitee-api-management + - id: 344331591 + name: hango-io/hango-gateway + - id: 558188628 + name: alibaba/higress + - id: 26783295 + name: Kong/kong + - id: 72875399 + name: luraproject/lura + - id: 408727871 + name: kubeshop/kusk-gateway + - id: 7058562 + name: mulesoft/mule + - id: 107638632 + name: accenture/reactive-interaction-gateway + - id: 128018428 + name: alibaba/Sentinel + - id: 19537979 + name: TykTechnologies/tyk + - id: 134538006 + name: wso2/product-microgateway diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/coordination_and_service_discovery.yml b/labeled_data/technology/cloud_native/orchestration_and_management/coordination_and_service_discovery.yml index 1c67f4cc5..e397f9145 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/coordination_and_service_discovery.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/coordination_and_service_discovery.yml @@ -1,11 +1,21 @@ name: Cloud Native - Orchestration & Management - Coordination & Service Discovery type: Tech-2 data: - github_repo: - - 160999 # repo:apache/zookeeper - - 54230994 # repo:coredns/coredns - - 11225014 # repo:etcd-io/etcd - - 224421982 # repo:k8gb-io/k8gb - - 513743595 # repo:kubewharf/kubebrain - - 137451403 # repo:alibaba/nacos - - 5198041 # repo:Netflix/eureka + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 160999 + name: apache/zookeeper + - id: 54230994 + name: coredns/coredns + - id: 11225014 + name: etcd-io/etcd + - id: 224421982 + name: k8gb-io/k8gb + - id: 513743595 + name: kubewharf/kubebrain + - id: 137451403 + name: alibaba/nacos + - id: 5198041 + name: Netflix/eureka diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/index.yml b/labeled_data/technology/cloud_native/orchestration_and_management/index.yml index e19ceff1e..5219113da 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/index.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Orchestration & Management type: Tech-1 data: - label: + labels: - scheduling_and_orchestration - coordination_and_service_discovery - remote_procedure_call diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/remote_procedure_call.yml b/labeled_data/technology/cloud_native/orchestration_and_management/remote_procedure_call.yml index 6047d7633..33ef8c3a7 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/remote_procedure_call.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/remote_procedure_call.yml @@ -1,14 +1,27 @@ name: Cloud Native - Orchestration & Management - Remote Procedure Call type: Tech-2 data: - github_repo: - - 310611 # repo:apache/thrift - - 206459 # repo:apache/avro - - 384451028 # repo:cloudwego/kitex - - 4710920 # repo:apache/dubbo - - 285864199 # repo:zeromicro/go-zero - - 27729880 # repo:grpc/grpc - - 165041732 # repo:go-kratos/kratos - - 128709824 # repo:sofastack/sofa-rpc - - 295369297 # repo:sogou/srpc - - 79316451 # repo:tarsCloud/tars + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 310611 + name: apache/thrift + - id: 206459 + name: apache/avro + - id: 384451028 + name: cloudwego/kitex + - id: 4710920 + name: apache/dubbo + - id: 285864199 + name: zeromicro/go-zero + - id: 27729880 + name: grpc/grpc + - id: 165041732 + name: go-kratos/kratos + - id: 128709824 + name: sofastack/sofa-rpc + - id: 295369297 + name: sogou/srpc + - id: 79316451 + name: tarsCloud/tars diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/scheduling_and_orchestration.yml b/labeled_data/technology/cloud_native/orchestration_and_management/scheduling_and_orchestration.yml index 4f6d6b924..aa8ee279f 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/scheduling_and_orchestration.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/scheduling_and_orchestration.yml @@ -1,24 +1,47 @@ name: Cloud Native - Orchestration & Management - Scheduling & Orchestration type: Tech-2 data: - github_repo: - - 11469439 # repo:apache/mesos - - 124312956 # repo:Microsoft/service-fabric - - 275918955 # repo:clastix/capsule - - 374587785 # repo:clusternet/clusternet - - 414827833 # repo:clusterpedia-io/clusterpedia - - 147886080 # repo:crossplane/crossplane - - 51556828 # repo:moby/swarmkit - - 278954673 # repo:fluid-cloudnative/fluid - - 311639195 # repo:karmada-io/karmada - - 470472185 # repo:koordinator-sh/koordinator - - 340965344 # repo:kube-green/kube-green - - 157133149 # repo:kube-rs/kube-rs - - 20580498 # repo:kubernetes/kubernetes - - 88608345 # repo:kubereboot/kured - - 36653430 # repo:hashicorp/nomad - - 412113556 # repo:open-cluster-management-io/ocm - - 1464595 # repo:OpenNebula/one - - 139199684 # repo:PrefectHQ/prefect - - 175592968 # repo:volcano-sh/volcano - - 304403692 # repo:wasmCloud/wasmCloud + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 11469439 + name: apache/mesos + - id: 124312956 + name: Microsoft/service-fabric + - id: 275918955 + name: clastix/capsule + - id: 374587785 + name: clusternet/clusternet + - id: 414827833 + name: clusterpedia-io/clusterpedia + - id: 147886080 + name: crossplane/crossplane + - id: 51556828 + name: moby/swarmkit + - id: 278954673 + name: fluid-cloudnative/fluid + - id: 311639195 + name: karmada-io/karmada + - id: 470472185 + name: koordinator-sh/koordinator + - id: 340965344 + name: kube-green/kube-green + - id: 157133149 + name: kube-rs/kube-rs + - id: 20580498 + name: kubernetes/kubernetes + - id: 88608345 + name: kubereboot/kured + - id: 36653430 + name: hashicorp/nomad + - id: 412113556 + name: open-cluster-management-io/ocm + - id: 1464595 + name: OpenNebula/one + - id: 139199684 + name: PrefectHQ/prefect + - id: 175592968 + name: volcano-sh/volcano + - id: 304403692 + name: wasmCloud/wasmCloud diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/service_mesh.yml b/labeled_data/technology/cloud_native/orchestration_and_management/service_mesh.yml index 84c2dc706..4cf4b95ed 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/service_mesh.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/service_mesh.yml @@ -1,19 +1,37 @@ name: Cloud Native - Orchestration & Management - Service Mesh type: Tech-2 data: - github_repo: - - 310173647 # repo:aeraki-mesh/aeraki - - 14125254 # repo:hashicorp/consul - - 334851928 # repo:megaease/easemesh - - 155558016 # repo:solo-io/gloo-mesh - - 74175805 # repo:istio/istio - - 175425051 # repo:kumahq/kuma - - 113106184 # repo:linkerd/linkerd2 - - 447051452 # repo:merbridge/merbridge - - 157554479 # repo:meshery/meshery - - 227895834 # repo:openservicemesh/osm - - 177296431 # repo:servicemeshinterface/smi-spec - - 168888155 # repo:service-mesh-performance/service-mesh-performance - - 331236836 # repo:slime-io/slime - - 187875305 # repo:traefik/mesh - - 403802153 # repo:huaweicloud/Sermant + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 310173647 + name: aeraki-mesh/aeraki + - id: 14125254 + name: hashicorp/consul + - id: 334851928 + name: megaease/easemesh + - id: 155558016 + name: solo-io/gloo-mesh + - id: 74175805 + name: istio/istio + - id: 175425051 + name: kumahq/kuma + - id: 113106184 + name: linkerd/linkerd2 + - id: 447051452 + name: merbridge/merbridge + - id: 157554479 + name: meshery/meshery + - id: 227895834 + name: openservicemesh/osm + - id: 177296431 + name: servicemeshinterface/smi-spec + - id: 168888155 + name: service-mesh-performance/service-mesh-performance + - id: 331236836 + name: slime-io/slime + - id: 187875305 + name: traefik/mesh + - id: 403802153 + name: huaweicloud/Sermant diff --git a/labeled_data/technology/cloud_native/orchestration_and_management/service_proxy.yml b/labeled_data/technology/cloud_native/orchestration_and_management/service_proxy.yml index cb64bd90d..cab82fea4 100644 --- a/labeled_data/technology/cloud_native/orchestration_and_management/service_proxy.yml +++ b/labeled_data/technology/cloud_native/orchestration_and_management/service_proxy.yml @@ -1,21 +1,41 @@ name: Cloud Native - Orchestration & Management - Service Proxy type: Tech-2 data: - github_repo: - - 199763479 # repo:bfenetworks/bfe - - 29207621 # repo:caddyserver/caddy - - 108462822 # repo:projectcontour/contour - - 65214191 # repo:envoyproxy/envoy - - 126499529 # repo:projectcontour/gimbal - - 128791889 # repo:haproxy/haproxy - - 214656224 # repo:inlets/inlets-pro - - 110027931 # repo:metallb/metallb - - 140654872 # repo:mosn/mosn - - 8759133 # repo:Netflix/zuul - - 37912398 # repo:nginx/nginx - - 168629414 # repo:openelb/openelb - - 480080 # repo:openresty/openresty - - 38812664 # repo:zalando/skipper - - 457021614 # repo:l7mp/stunner - - 3784017 # repo:alibaba/tengine - - 42408804 # repo:traefik/traefik + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 199763479 + name: bfenetworks/bfe + - id: 29207621 + name: caddyserver/caddy + - id: 108462822 + name: projectcontour/contour + - id: 65214191 + name: envoyproxy/envoy + - id: 126499529 + name: projectcontour/gimbal + - id: 128791889 + name: haproxy/haproxy + - id: 214656224 + name: inlets/inlets-pro + - id: 110027931 + name: metallb/metallb + - id: 140654872 + name: mosn/mosn + - id: 8759133 + name: Netflix/zuul + - id: 37912398 + name: nginx/nginx + - id: 168629414 + name: openelb/openelb + - id: 480080 + name: openresty/openresty + - id: 38812664 + name: zalando/skipper + - id: 457021614 + name: l7mp/stunner + - id: 3784017 + name: alibaba/tengine + - id: 42408804 + name: traefik/traefik diff --git a/labeled_data/technology/cloud_native/platform/certified_kubernetes_distribution.yml b/labeled_data/technology/cloud_native/platform/certified_kubernetes_distribution.yml index bd798c2b2..33755034c 100644 --- a/labeled_data/technology/cloud_native/platform/certified_kubernetes_distribution.yml +++ b/labeled_data/technology/cloud_native/platform/certified_kubernetes_distribution.yml @@ -1,34 +1,67 @@ name: Cloud Native - Platform - Certified Kubernetes - Distribution type: Tech-2 data: - github_repo: - - 203163249 # repo:ilkilab/agorakube - - 85678822 # repo:alvistack/ansible-collection-kubernetes - - 313741735 # repo:aws/eks-distro - - 155447233 # repo:Azure/aks-engine - - 54725435 # repo:charmed-kubernetes/bundle - - 330533312 # repo:aceeric/desktop-kubernetes - - 296643893 # repo:elastisys/ck8s-cluster - - 215783734 # repo:deckhouse/deckhouse - - 220698719 # repo:flexkube/libflexkube - - 235835211 # repo:sighupio/fury-distribution - - 411029320 # repo:smart-edge-open/open-developer-experience-kits - - 271250363 # repo:k0sproject/k0s - - 135516270 # repo:k3s-io/k3s - - 439021003 # repo:clastix/kamaji - - 385158917 # repo:kubecube-io/KubeCube - - 50734768 # repo:kubermatic/kubermatic - - 130430977 # repo:kubesphere/kubesphere - - 120284730 # repo:kubic-project/container-images - - 198898598 # repo:replicatedhq/kurl - - 124905930 # repo:scality/metalk8s - - 132732601 # repo:canonical/microk8s - - 295900097 # repo:PaaS-TA/paas-ta-container-platform - - 541402612 # repo:alexeadem/qbo-home - - 26337322 # repo:rancher/rancher - - 49904068 # repo:openshift/kubernetes - - 253887459 # repo:rancher/rke2 - - 99544448 # repo:poseidon/typhoon - - 355946670 # repo:loft-sh/vcluster - - 303802332 # repo:vmware-tanzu/community-edition - - 239576223 # repo:wind-river/starlingx-config + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 203163249 + name: ilkilab/agorakube + - id: 85678822 + name: alvistack/ansible-collection-kubernetes + - id: 313741735 + name: aws/eks-distro + - id: 155447233 + name: Azure/aks-engine + - id: 54725435 + name: charmed-kubernetes/bundle + - id: 330533312 + name: aceeric/desktop-kubernetes + - id: 296643893 + name: elastisys/ck8s-cluster + - id: 215783734 + name: deckhouse/deckhouse + - id: 220698719 + name: flexkube/libflexkube + - id: 235835211 + name: sighupio/fury-distribution + - id: 411029320 + name: smart-edge-open/open-developer-experience-kits + - id: 271250363 + name: k0sproject/k0s + - id: 135516270 + name: k3s-io/k3s + - id: 439021003 + name: clastix/kamaji + - id: 385158917 + name: kubecube-io/KubeCube + - id: 50734768 + name: kubermatic/kubermatic + - id: 130430977 + name: kubesphere/kubesphere + - id: 120284730 + name: kubic-project/container-images + - id: 198898598 + name: replicatedhq/kurl + - id: 124905930 + name: scality/metalk8s + - id: 132732601 + name: canonical/microk8s + - id: 295900097 + name: PaaS-TA/paas-ta-container-platform + - id: 541402612 + name: alexeadem/qbo-home + - id: 26337322 + name: rancher/rancher + - id: 49904068 + name: openshift/kubernetes + - id: 253887459 + name: rancher/rke2 + - id: 99544448 + name: poseidon/typhoon + - id: 355946670 + name: loft-sh/vcluster + - id: 303802332 + name: vmware-tanzu/community-edition + - id: 239576223 + name: wind-river/starlingx-config diff --git a/labeled_data/technology/cloud_native/platform/certified_kubernetes_hosted.yml b/labeled_data/technology/cloud_native/platform/certified_kubernetes_hosted.yml index 924ae3c3a..94e4aa1a6 100644 --- a/labeled_data/technology/cloud_native/platform/certified_kubernetes_hosted.yml +++ b/labeled_data/technology/cloud_native/platform/certified_kubernetes_hosted.yml @@ -1,7 +1,13 @@ name: Cloud Native - Platform - Certified Kubernetes - Hosted type: Tech-2 data: - github_repo: - - 145783478 # repo:catalyst-cloud/magnum - - 162939338 # repo:QingCloudAppcenter/QKE - - 171472086 # repo:msazurestackworkloads/aks-engine + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 145783478 + name: catalyst-cloud/magnum + - id: 162939338 + name: QingCloudAppcenter/QKE + - id: 171472086 + name: msazurestackworkloads/aks-engine diff --git a/labeled_data/technology/cloud_native/platform/certified_kubernetes_installer.yml b/labeled_data/technology/cloud_native/platform/certified_kubernetes_installer.yml index dfd853dc9..f589ef83b 100644 --- a/labeled_data/technology/cloud_native/platform/certified_kubernetes_installer.yml +++ b/labeled_data/technology/cloud_native/platform/certified_kubernetes_installer.yml @@ -1,24 +1,47 @@ name: Cloud Native - Platform - Certified Kubernetes - Installer type: Tech-2 data: - github_repo: - - 304223078 # repo:alvistack/vagrant-kubernetes - - 388260896 # repo:aws/eks-anywhere - - 129878089 # repo:slzcc/crane - - 140261100 # repo:cybozu-go/cke - - 117377862 # repo:gardener/gardener - - 148545807 # repo:kubernetes-sigs/kind - - 62091339 # repo:kubernetes/kops - - 110401202 # repo:easzlab/kubeasz - - 248386471 # repo:kubesphere/kubekey - - 158171016 # repo:KubeOperator/KubeOperator - - 155974736 # repo:kubermatic/kubeone - - 114474246 # repo:darxkies/k8s-tew - - 43613404 # repo:kubernetes-sigs/kubespray - - 26314357 # repo:openstack/magnum - - 56353740 # repo:kubernetes/minikube - - 102576190 # repo:puppetlabs/puppetlabs-kubernetes - - 108337180 # repo:rancher/rke - - 109451092 # repo:siderolabs/talos - - 142926510 # repo:particuleio/symplegma - - 146337367 # repo:wise2c-devops/breeze + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 304223078 + name: alvistack/vagrant-kubernetes + - id: 388260896 + name: aws/eks-anywhere + - id: 129878089 + name: slzcc/crane + - id: 140261100 + name: cybozu-go/cke + - id: 117377862 + name: gardener/gardener + - id: 148545807 + name: kubernetes-sigs/kind + - id: 62091339 + name: kubernetes/kops + - id: 110401202 + name: easzlab/kubeasz + - id: 248386471 + name: kubesphere/kubekey + - id: 158171016 + name: KubeOperator/KubeOperator + - id: 155974736 + name: kubermatic/kubeone + - id: 114474246 + name: darxkies/k8s-tew + - id: 43613404 + name: kubernetes-sigs/kubespray + - id: 26314357 + name: openstack/magnum + - id: 56353740 + name: kubernetes/minikube + - id: 102576190 + name: puppetlabs/puppetlabs-kubernetes + - id: 108337180 + name: rancher/rke + - id: 109451092 + name: siderolabs/talos + - id: 142926510 + name: particuleio/symplegma + - id: 146337367 + name: wise2c-devops/breeze diff --git a/labeled_data/technology/cloud_native/platform/index.yml b/labeled_data/technology/cloud_native/platform/index.yml index c72eb8a65..0a0e6ffb8 100644 --- a/labeled_data/technology/cloud_native/platform/index.yml +++ b/labeled_data/technology/cloud_native/platform/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Platform type: Tech-1 data: - label: + labels: - certified_kubernetes_distribution - certified_kubernetes_hosted - certified_kubernetes_installer diff --git a/labeled_data/technology/cloud_native/platform/paas_and_container_service.yml b/labeled_data/technology/cloud_native/platform/paas_and_container_service.yml index 03565ce97..d2f756f5d 100644 --- a/labeled_data/technology/cloud_native/platform/paas_and_container_service.yml +++ b/labeled_data/technology/cloud_native/platform/paas_and_container_service.yml @@ -1,15 +1,29 @@ name: Cloud Native - Platform - PaaS/Container Service type: Tech-2 data: - github_repo: - - 130013 # repo:akka/akka - - 12223350 # repo:cloudfoundry/cli - - 13753636 # repo:jhipster/generator-jhipster - - 139590616 # repo:kyma-project/kyma - - 120538304 # repo:kelseyhightower/nocode - - 200118806 # repo:redkubes/otomi-core - - 44998824 # repo:Yelp/paasta - - 59239347 # repo:portainer/portainer - - 143456583 # repo:rancher/rio - - 283410102 # repo:sogou/workflow - - 3631697 # repo:tsuru/tsuru + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 130013 + name: akka/akka + - id: 12223350 + name: cloudfoundry/cli + - id: 13753636 + name: jhipster/generator-jhipster + - id: 139590616 + name: kyma-project/kyma + - id: 120538304 + name: kelseyhightower/nocode + - id: 200118806 + name: redkubes/otomi-core + - id: 44998824 + name: Yelp/paasta + - id: 59239347 + name: portainer/portainer + - id: 143456583 + name: rancher/rio + - id: 283410102 + name: sogou/workflow + - id: 3631697 + name: tsuru/tsuru diff --git a/labeled_data/technology/cloud_native/provisioning/automation_and_configuration.yml b/labeled_data/technology/cloud_native/provisioning/automation_and_configuration.yml index 6525d8b53..4aae610dd 100644 --- a/labeled_data/technology/cloud_native/provisioning/automation_and_configuration.yml +++ b/labeled_data/technology/cloud_native/provisioning/automation_and_configuration.yml @@ -1,40 +1,79 @@ name: Cloud Native - Provisioning - Automation & Configuration type: Tech-2 data: - github_repo: - - 144783430 # repo:airshipit/treasuremap - - 302703576 # repo:project-akri/akri - - 3638964 # repo:ansible/ansible - - 53127403 # repo:apolloconfig/apollo - - 3910314 # repo:cloudfoundry/bosh - - 82700090 # repo:uber/cadence - - 105809298 # repo:cdk8s-team/cdk8s - - 3543548 # repo:cfengine/core - - 108278 # repo:chef/chef - - 52837350 # repo:cloud-custodian/cloud-custodian - - 18326574 # repo:cloudify-cosmo/cloudify-manager - - 288523518 # repo:couler-proj/couler - - 415188495 # repo:devstream-io/devstream - - 199487892 # repo:digitalrebar/provision - - 258750 # repo:theforeman/foreman - - 20445947 # repo:juju/juju - - 238232099 # repo:loft-sh/kiosk - - 227010082 # repo:kubedl-io/kubedl - - 150713223 # repo:kubeedge/kubeedge - - 332999480 # repo:kubefirst/kubefirst - - 516603039 # repo:kubewharf/kubezoo - - 488866928 # repo:KusionStack/kusion - - 46932243 # repo:linuxkit/linuxkit - - 86509608 # repo:maas/maas - - 20789757 # repo:ManageIQ/manageiq - - 5874515 # repo:mistio/mist-ce - - 13839311 # repo:openstack/openstack - - 265800635 # repo:openyurtio/openyurt - - 72477752 # repo:pulumi/pulumi - - 910744 # repo:puppetlabs/puppet - - 886774 # repo:rundeck/rundeck - - 1390248 # repo:saltstack/salt - - 19051806 # repo:stackstorm/st2 - - 322759957 # repo:superedge/superedge - - 17728164 # repo:hashicorp/terraform - - 215102779 # repo:tinkerbell/tink + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 144783430 + name: airshipit/treasuremap + - id: 302703576 + name: project-akri/akri + - id: 3638964 + name: ansible/ansible + - id: 53127403 + name: apolloconfig/apollo + - id: 3910314 + name: cloudfoundry/bosh + - id: 82700090 + name: uber/cadence + - id: 105809298 + name: cdk8s-team/cdk8s + - id: 3543548 + name: cfengine/core + - id: 108278 + name: chef/chef + - id: 52837350 + name: cloud-custodian/cloud-custodian + - id: 18326574 + name: cloudify-cosmo/cloudify-manager + - id: 288523518 + name: couler-proj/couler + - id: 415188495 + name: devstream-io/devstream + - id: 199487892 + name: digitalrebar/provision + - id: 258750 + name: theforeman/foreman + - id: 20445947 + name: juju/juju + - id: 238232099 + name: loft-sh/kiosk + - id: 227010082 + name: kubedl-io/kubedl + - id: 150713223 + name: kubeedge/kubeedge + - id: 332999480 + name: kubefirst/kubefirst + - id: 516603039 + name: kubewharf/kubezoo + - id: 488866928 + name: KusionStack/kusion + - id: 46932243 + name: linuxkit/linuxkit + - id: 86509608 + name: maas/maas + - id: 20789757 + name: ManageIQ/manageiq + - id: 5874515 + name: mistio/mist-ce + - id: 13839311 + name: openstack/openstack + - id: 265800635 + name: openyurtio/openyurt + - id: 72477752 + name: pulumi/pulumi + - id: 910744 + name: puppetlabs/puppet + - id: 886774 + name: rundeck/rundeck + - id: 1390248 + name: saltstack/salt + - id: 19051806 + name: stackstorm/st2 + - id: 322759957 + name: superedge/superedge + - id: 17728164 + name: hashicorp/terraform + - id: 215102779 + name: tinkerbell/tink diff --git a/labeled_data/technology/cloud_native/provisioning/container_registry.yml b/labeled_data/technology/cloud_native/provisioning/container_registry.yml index 1e5e0c4fd..be9420c60 100644 --- a/labeled_data/technology/cloud_native/provisioning/container_registry.yml +++ b/labeled_data/technology/cloud_native/provisioning/container_registry.yml @@ -1,11 +1,21 @@ name: Cloud Native - Provisioning - Container Registry type: Tech-2 data: - github_repo: - - 28366058 # repo:distribution/distribution - - 309874357 # repo:dragonflyoss/Dragonfly2 - - 50613991 # repo:goharbor/harbor - - 160626997 # repo:uber/kraken - - 33866783 # repo:SUSE/Portus - - 411456245 # repo:opcr-io/policy - - 220517730 # repo:quay/quay + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 28366058 + name: distribution/distribution + - id: 309874357 + name: dragonflyoss/Dragonfly2 + - id: 50613991 + name: goharbor/harbor + - id: 160626997 + name: uber/kraken + - id: 33866783 + name: SUSE/Portus + - id: 411456245 + name: opcr-io/policy + - id: 220517730 + name: quay/quay diff --git a/labeled_data/technology/cloud_native/provisioning/index.yml b/labeled_data/technology/cloud_native/provisioning/index.yml index 91ad43806..344e3880d 100644 --- a/labeled_data/technology/cloud_native/provisioning/index.yml +++ b/labeled_data/technology/cloud_native/provisioning/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Provisioning type: Tech-1 data: - label: + labels: - automation_and_configuration - container_registry - security_and_compliance diff --git a/labeled_data/technology/cloud_native/provisioning/key_management.yml b/labeled_data/technology/cloud_native/provisioning/key_management.yml index ef6218230..05025fe69 100644 --- a/labeled_data/technology/cloud_native/provisioning/key_management.yml +++ b/labeled_data/technology/cloud_native/provisioning/key_management.yml @@ -1,19 +1,37 @@ name: Cloud Native - Provisioning - Key Management type: Tech-2 data: - github_repo: - - 73948366 # repo:AthenZ/athenz - - 117408191 # repo:Authing/Authing - - 62174977 # repo:cyberark/conjur - - 11125589 # repo:keycloak/keycloak - - 105262714 # repo:oauth2-proxy/oauth2-proxy - - 36071697 # repo:ory/hydra - - 276756059 # repo:vmware-tanzu/pinniped - - 163722349 # repo:pomerium/pomerium - - 99618772 # repo:spiffe/spiffe - - 100061496 # repo:spiffe/spire - - 32866430 # repo:square/keywhiz - - 145011089 # repo:buzzfeed/sso - - 31558937 # repo:gravitational/teleport - - 351043495 # repo:SpectralOps/Teller - - 31288958 # repo:hashicorp/vault + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 73948366 + name: AthenZ/athenz + - id: 117408191 + name: Authing/Authing + - id: 62174977 + name: cyberark/conjur + - id: 11125589 + name: keycloak/keycloak + - id: 105262714 + name: oauth2-proxy/oauth2-proxy + - id: 36071697 + name: ory/hydra + - id: 276756059 + name: vmware-tanzu/pinniped + - id: 163722349 + name: pomerium/pomerium + - id: 99618772 + name: spiffe/spiffe + - id: 100061496 + name: spiffe/spire + - id: 32866430 + name: square/keywhiz + - id: 145011089 + name: buzzfeed/sso + - id: 31558937 + name: gravitational/teleport + - id: 351043495 + name: SpectralOps/Teller + - id: 31288958 + name: hashicorp/vault diff --git a/labeled_data/technology/cloud_native/provisioning/security_and_compliance.yml b/labeled_data/technology/cloud_native/provisioning/security_and_compliance.yml index f0f6e5190..f03d9c995 100644 --- a/labeled_data/technology/cloud_native/provisioning/security_and_compliance.yml +++ b/labeled_data/technology/cloud_native/provisioning/security_and_compliance.yml @@ -1,50 +1,99 @@ name: Cloud Native - Provisioning - Security & Compliance type: Tech-2 data: - github_repo: - - 102645710 # repo:anchore/anchore-engine - - 410078466 # repo:aserto-dev/runtime - - 350005438 # repo:cerbos/cerbos - - 92313258 # repo:cert-manager/cert-manager - - 224386599 # repo:bridgecrewio/checkov - - 41571541 # repo:inspec/inspec - - 46140633 # repo:quay/clair - - 531514152 # repo:cloudmatos/matos - - 413484541 # repo:confidential-containers/documentation - - 269202949 # repo:containerssh/containerssh - - 307768615 # repo:curiefense/curiefense - - 357885318 # repo:datreeio/datree - - 40916314 # repo:dexidp/dex - - 313628863 # repo:external-secrets/external-secrets - - 49986046 # repo:falcosecurity/falco - - 116995448 # repo:fossas/fossa-cli - - 183510345 # repo:FairwindsOps/goldilocks - - 99028287 # repo:grafeas/grafeas - - 444656703 # repo:hexa-org/policy-orchestrator - - 59531400 # repo:in-toto/in-toto - - 71359873 # repo:keylime/keylime - - 278200746 # repo:Checkmarx/kics - - 94779471 # repo:aquasecurity/kube-bench - - 141447532 # repo:aquasecurity/kube-hunter - - 316098156 # repo:kubearmor/kubearmor - - 318490971 # repo:kubewarden/kubewarden-controller - - 169108858 # repo:kyverno/kyverno - - 37743436 # repo:notaryproject/notary - - 48714685 # repo:open-policy-agent/opa - - 501372599 # repo:openfga/openfga - - 19279199 # repo:OpenSCAP/openscap - - 183445613 # repo:parallaxsecond/parsec - - 249814436 # repo:FairwindsOps/pluto - - 157735858 # repo:FairwindsOps/polaris - - 143233750 # repo:FairwindsOps/rbac-lookup - - 125060113 # repo:FairwindsOps/rbac-manager - - 2528254 # repo:normation/rudder - - 338633268 # repo:sigstore/sigstore - - 98453563 # repo:vmware-tanzu/sonobuoy - - 247991727 # repo:aquasecurity/starboard - - 103084166 # repo:tenable/terrascan - - 473137633 # repo:cilium/tetragon - - 7942805 # repo:theupdateframework/python-tuf - - 238662977 # repo:deepfence/ThreatMapper - - 556329104 # repo:aserto-dev/topaz - - 180687624 # repo:aquasecurity/trivy + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 102645710 + name: anchore/anchore-engine + - id: 410078466 + name: aserto-dev/runtime + - id: 350005438 + name: cerbos/cerbos + - id: 92313258 + name: cert-manager/cert-manager + - id: 224386599 + name: bridgecrewio/checkov + - id: 41571541 + name: inspec/inspec + - id: 46140633 + name: quay/clair + - id: 531514152 + name: cloudmatos/matos + - id: 413484541 + name: confidential-containers/documentation + - id: 269202949 + name: containerssh/containerssh + - id: 307768615 + name: curiefense/curiefense + - id: 357885318 + name: datreeio/datree + - id: 40916314 + name: dexidp/dex + - id: 313628863 + name: external-secrets/external-secrets + - id: 49986046 + name: falcosecurity/falco + - id: 116995448 + name: fossas/fossa-cli + - id: 183510345 + name: FairwindsOps/goldilocks + - id: 99028287 + name: grafeas/grafeas + - id: 444656703 + name: hexa-org/policy-orchestrator + - id: 59531400 + name: in-toto/in-toto + - id: 71359873 + name: keylime/keylime + - id: 278200746 + name: Checkmarx/kics + - id: 94779471 + name: aquasecurity/kube-bench + - id: 141447532 + name: aquasecurity/kube-hunter + - id: 316098156 + name: kubearmor/kubearmor + - id: 318490971 + name: kubewarden/kubewarden-controller + - id: 169108858 + name: kyverno/kyverno + - id: 37743436 + name: notaryproject/notary + - id: 48714685 + name: open-policy-agent/opa + - id: 501372599 + name: openfga/openfga + - id: 19279199 + name: OpenSCAP/openscap + - id: 183445613 + name: parallaxsecond/parsec + - id: 249814436 + name: FairwindsOps/pluto + - id: 157735858 + name: FairwindsOps/polaris + - id: 143233750 + name: FairwindsOps/rbac-lookup + - id: 125060113 + name: FairwindsOps/rbac-manager + - id: 2528254 + name: normation/rudder + - id: 338633268 + name: sigstore/sigstore + - id: 98453563 + name: vmware-tanzu/sonobuoy + - id: 247991727 + name: aquasecurity/starboard + - id: 103084166 + name: tenable/terrascan + - id: 473137633 + name: cilium/tetragon + - id: 7942805 + name: theupdateframework/python-tuf + - id: 238662977 + name: deepfence/ThreatMapper + - id: 556329104 + name: aserto-dev/topaz + - id: 180687624 + name: aquasecurity/trivy diff --git a/labeled_data/technology/cloud_native/runtime/cloud_native_network.yml b/labeled_data/technology/cloud_native/runtime/cloud_native_network.yml index ef49cbd39..79f09cfda 100644 --- a/labeled_data/technology/cloud_native/runtime/cloud_native_network.yml +++ b/labeled_data/technology/cloud_native/runtime/cloud_native_network.yml @@ -1,23 +1,45 @@ name: Cloud Native - Runtime - Cloud Native Network type: Tech-2 data: - github_repo: - - 217420145 # repo:antrea-io/antrea - - 48109239 # repo:cilium/cilium - - 86123872 # repo:cni-genie/CNI-Genie - - 33429211 # repo:containernetworking/cni - - 152550404 # repo:nokia/danm - - 386570418 # repo:FabEdge/fabedge - - 96556718 # repo:FDio/vpp - - 21704134 # repo:flannel-io/flannel - - 162610275 # repo:squat/kilo - - 177068961 # repo:kubeovn/kube-ovn - - 88471725 # repo:cloudnativelabs/kube-router - - 97228445 # repo:ligato/vpp-agent - - 76367175 # repo:k8snetworkplumbingwg/multus-cni - - 127937836 # repo:networkservicemesh/networkservicemesh - - 18383364 # repo:openvswitch/ovs - - 63882194 # repo:projectcalico/calico - - 175095528 # repo:submariner-io/submariner - - 12347995 # repo:Juniper/contrail-controller - - 23059575 # repo:weaveworks/weave + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 217420145 + name: antrea-io/antrea + - id: 48109239 + name: cilium/cilium + - id: 86123872 + name: cni-genie/CNI-Genie + - id: 33429211 + name: containernetworking/cni + - id: 152550404 + name: nokia/danm + - id: 386570418 + name: FabEdge/fabedge + - id: 96556718 + name: FDio/vpp + - id: 21704134 + name: flannel-io/flannel + - id: 162610275 + name: squat/kilo + - id: 177068961 + name: kubeovn/kube-ovn + - id: 88471725 + name: cloudnativelabs/kube-router + - id: 97228445 + name: ligato/vpp-agent + - id: 76367175 + name: k8snetworkplumbingwg/multus-cni + - id: 127937836 + name: networkservicemesh/networkservicemesh + - id: 18383364 + name: openvswitch/ovs + - id: 63882194 + name: projectcalico/calico + - id: 175095528 + name: submariner-io/submariner + - id: 12347995 + name: Juniper/contrail-controller + - id: 23059575 + name: weaveworks/weave diff --git a/labeled_data/technology/cloud_native/runtime/cloud_native_storage.yml b/labeled_data/technology/cloud_native/runtime/cloud_native_storage.yml index d6566f587..09959e4bd 100644 --- a/labeled_data/technology/cloud_native/runtime/cloud_native_storage.yml +++ b/labeled_data/technology/cloud_native/runtime/cloud_native_storage.yml @@ -1,29 +1,57 @@ name: Cloud Native - Runtime - Cloud Native Storage type: Tech-2 data: - github_repo: - - 7276954 # repo:alluxio/alluxio - - 397563881 # repo:carina-io/carina - - 2310495 # repo:ceph/ceph - - 91765224 # repo:container-storage-interface/spec - - 171396748 # repo:cubeFS/cubefs - - 276365255 # repo:opencurve/curve - - 1377037 # repo:gluster/glusterfs - - 466948543 # repo:hwameistor/hwameistor - - 327859577 # repo:juicedata/juicefs - - 166203864 # repo:k8up-io/k8up - - 117251051 # repo:LINBIT/linstor-server - - 88298561 # repo:longhorn/longhorn - - 29261473 # repo:minio/minio - - 50505775 # repo:moosefs/moosefs - - 64654523 # repo:openebs/openebs - - 32169193 # repo:open-io/oio-sds - - 162945532 # repo:oras-project/oras - - 226072757 # repo:piraeusdatastore/piraeus - - 62921553 # repo:rook/rook - - 77096333 # repo:sodafoundation/api - - 790019 # repo:openstack/swift - - 23597054 # repo:TritonDataCenter/manta - - 99143276 # repo:vmware-tanzu/velero - - 306631211 # repo:v6d-io/v6d - - 93576430 # repo:scality/zenko + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 7276954 + name: alluxio/alluxio + - id: 397563881 + name: carina-io/carina + - id: 2310495 + name: ceph/ceph + - id: 91765224 + name: container-storage-interface/spec + - id: 171396748 + name: cubeFS/cubefs + - id: 276365255 + name: opencurve/curve + - id: 1377037 + name: gluster/glusterfs + - id: 466948543 + name: hwameistor/hwameistor + - id: 327859577 + name: juicedata/juicefs + - id: 166203864 + name: k8up-io/k8up + - id: 117251051 + name: LINBIT/linstor-server + - id: 88298561 + name: longhorn/longhorn + - id: 29261473 + name: minio/minio + - id: 50505775 + name: moosefs/moosefs + - id: 64654523 + name: openebs/openebs + - id: 32169193 + name: open-io/oio-sds + - id: 162945532 + name: oras-project/oras + - id: 226072757 + name: piraeusdatastore/piraeus + - id: 62921553 + name: rook/rook + - id: 77096333 + name: sodafoundation/api + - id: 790019 + name: openstack/swift + - id: 23597054 + name: TritonDataCenter/manta + - id: 99143276 + name: vmware-tanzu/velero + - id: 306631211 + name: v6d-io/v6d + - id: 93576430 + name: scality/zenko diff --git a/labeled_data/technology/cloud_native/runtime/container_runtime.yml b/labeled_data/technology/cloud_native/runtime/container_runtime.yml index 3a9373c31..9c0b0f885 100644 --- a/labeled_data/technology/cloud_native/runtime/container_runtime.yml +++ b/labeled_data/technology/cloud_native/runtime/container_runtime.yml @@ -1,18 +1,35 @@ name: Cloud Native - Runtime - Container Runtime type: Tech-2 data: - github_repo: - - 46089560 # repo:containerd/containerd - - 67828134 # repo:cri-o/cri-o - - 107505869 # repo:firecracker-microvm/firecracker - - 131212638 # repo:google/gvisor - - 263214582 # repo:inclavare-containers/inclavare-containers - - 110539997 # repo:kata-containers/runtime - - 367284699 # repo:lima-vm/lima - - 26192117 # repo:lxc/lxd - - 26509369 # repo:rkt/rkt - - 36960321 # repo:opencontainers/runc - - 43982667 # repo:apptainer/singularity - - 2203782 # repo:TritonDataCenter/smartos-live - - 284555713 # repo:nestybox/sysbox - - 224908244 # repo:WasmEdge/WasmEdge + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 46089560 + name: containerd/containerd + - id: 67828134 + name: cri-o/cri-o + - id: 107505869 + name: firecracker-microvm/firecracker + - id: 131212638 + name: google/gvisor + - id: 263214582 + name: inclavare-containers/inclavare-containers + - id: 110539997 + name: kata-containers/runtime + - id: 367284699 + name: lima-vm/lima + - id: 26192117 + name: lxc/lxd + - id: 26509369 + name: rkt/rkt + - id: 36960321 + name: opencontainers/runc + - id: 43982667 + name: apptainer/singularity + - id: 2203782 + name: TritonDataCenter/smartos-live + - id: 284555713 + name: nestybox/sysbox + - id: 224908244 + name: WasmEdge/WasmEdge diff --git a/labeled_data/technology/cloud_native/runtime/index.yml b/labeled_data/technology/cloud_native/runtime/index.yml index 573c51587..4b8f419a4 100644 --- a/labeled_data/technology/cloud_native/runtime/index.yml +++ b/labeled_data/technology/cloud_native/runtime/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Runtime type: Tech-1 data: - label: + labels: - cloud_native_storage - container_runtime - cloud_native_network diff --git a/labeled_data/technology/cloud_native/serverless/framework.yml b/labeled_data/technology/cloud_native/serverless/framework.yml index 22a4792c3..3501aa960 100644 --- a/labeled_data/technology/cloud_native/serverless/framework.yml +++ b/labeled_data/technology/cloud_native/serverless/framework.yml @@ -1,19 +1,37 @@ name: Cloud Native - Serverless - Framework type: Tech-2 data: - github_repo: - - 97773247 # repo:architect/functions - - 70530854 # repo:aws/serverless-application-model - - 59868262 # repo:aws/chalice - - 192632000 # repo:dapr/dapr - - 208698479 # repo:apache/incubator-eventmesh - - 62978868 # repo:TIBCOSoftware/flogo - - 362672151 # repo:mosn/layotto - - 140669486 # repo:midwayjs/midway - - 317676879 # repo:nitrictech/nitric - - 34302698 # repo:serverless/serverless - - 44479969 # repo:mweagle/Sparta - - 68877113 # repo:spring-cloud/spring-cloud-function - - 285092252 # repo:serverless-stack/sst - - 225625782 # repo:apache/flink-statefun - - 116817549 # repo:webiny/webiny-js + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 97773247 + name: architect/functions + - id: 70530854 + name: aws/serverless-application-model + - id: 59868262 + name: aws/chalice + - id: 192632000 + name: dapr/dapr + - id: 208698479 + name: apache/incubator-eventmesh + - id: 62978868 + name: TIBCOSoftware/flogo + - id: 362672151 + name: mosn/layotto + - id: 140669486 + name: midwayjs/midway + - id: 317676879 + name: nitrictech/nitric + - id: 34302698 + name: serverless/serverless + - id: 44479969 + name: mweagle/Sparta + - id: 68877113 + name: spring-cloud/spring-cloud-function + - id: 285092252 + name: serverless-stack/sst + - id: 225625782 + name: apache/flink-statefun + - id: 116817549 + name: webiny/webiny-js diff --git a/labeled_data/technology/cloud_native/serverless/hosted_platform.yml b/labeled_data/technology/cloud_native/serverless/hosted_platform.yml index 7ef7cf56c..a4b87015c 100644 --- a/labeled_data/technology/cloud_native/serverless/hosted_platform.yml +++ b/labeled_data/technology/cloud_native/serverless/hosted_platform.yml @@ -1,5 +1,9 @@ name: Cloud Native - Serverless - Hosted Platform type: Tech-2 data: - github_repo: - - 42548553 # repo:Azure/azure-functions-host + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 42548553 + name: Azure/azure-functions-host diff --git a/labeled_data/technology/cloud_native/serverless/index.yml b/labeled_data/technology/cloud_native/serverless/index.yml index 597d956ac..64596ea90 100644 --- a/labeled_data/technology/cloud_native/serverless/index.yml +++ b/labeled_data/technology/cloud_native/serverless/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Serverless type: Tech-1 data: - label: + labels: - tools - framework - hosted_platform diff --git a/labeled_data/technology/cloud_native/serverless/installable_platform.yml b/labeled_data/technology/cloud_native/serverless/installable_platform.yml index 94f25556f..3e307ad23 100644 --- a/labeled_data/technology/cloud_native/serverless/installable_platform.yml +++ b/labeled_data/technology/cloud_native/serverless/installable_platform.yml @@ -1,19 +1,37 @@ name: Cloud Native - Serverless - Installable Platform type: Tech-2 data: - github_repo: - - 146865191 # repo:apache/camel-k - - 52039373 # repo:apache/openwhisk - - 3803067 # repo:AppScale/gts - - 66050533 # repo:fission/fission - - 170411418 # repo:kedacore/keda - - 118828329 # repo:knative/serving - - 232829717 # repo:knix-microfunctions/knix - - 226983227 # repo:krustlet/krustlet - - 73902337 # repo:vmware-archive/kubeless - - 91797088 # repo:nuclio/nuclio - - 77144337 # repo:openfaas/faas - - 322168077 # repo:OpenFunction/OpenFunction - - 38730494 # repo:pipelineai/pipeline - - 98690441 # repo:projectriff/riff - - 113086028 # repo:virtual-kubelet/virtual-kubelet + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 146865191 + name: apache/camel-k + - id: 52039373 + name: apache/openwhisk + - id: 3803067 + name: AppScale/gts + - id: 66050533 + name: fission/fission + - id: 170411418 + name: kedacore/keda + - id: 118828329 + name: knative/serving + - id: 232829717 + name: knix-microfunctions/knix + - id: 226983227 + name: krustlet/krustlet + - id: 73902337 + name: vmware-archive/kubeless + - id: 91797088 + name: nuclio/nuclio + - id: 77144337 + name: openfaas/faas + - id: 322168077 + name: OpenFunction/OpenFunction + - id: 38730494 + name: pipelineai/pipeline + - id: 98690441 + name: projectriff/riff + - id: 113086028 + name: virtual-kubelet/virtual-kubelet diff --git a/labeled_data/technology/cloud_native/serverless/tools.yml b/labeled_data/technology/cloud_native/serverless/tools.yml index 38414e97b..afee952fd 100644 --- a/labeled_data/technology/cloud_native/serverless/tools.yml +++ b/labeled_data/technology/cloud_native/serverless/tools.yml @@ -1,9 +1,17 @@ name: Cloud Native - Serverless - Tools type: Tech-2 data: - github_repo: - - 160055127 # repo:cncf/landscapeapp - - 137724480 # repo:hasura/graphql-engine - - 27050722 # repo:motdotla/node-lambda - - 91441209 # repo:grycap/scar - - 306060886 # repo:serverless-devs/serverless-devs + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 160055127 + name: cncf/landscapeapp + - id: 137724480 + name: hasura/graphql-engine + - id: 27050722 + name: motdotla/node-lambda + - id: 91441209 + name: grycap/scar + - id: 306060886 + name: serverless-devs/serverless-devs diff --git a/labeled_data/technology/cloud_native/wasm/index.yml b/labeled_data/technology/cloud_native/wasm/index.yml index f0659d63a..42746ab67 100644 --- a/labeled_data/technology/cloud_native/wasm/index.yml +++ b/labeled_data/technology/cloud_native/wasm/index.yml @@ -1,7 +1,7 @@ name: Cloud Native - Wasm type: Tech-1 data: - label: + labels: - specifications - runtime - toolchain diff --git a/labeled_data/technology/cloud_native/wasm/installable_platform.yml b/labeled_data/technology/cloud_native/wasm/installable_platform.yml index bdea11cc8..f323c04c1 100644 --- a/labeled_data/technology/cloud_native/wasm/installable_platform.yml +++ b/labeled_data/technology/cloud_native/wasm/installable_platform.yml @@ -1,7 +1,13 @@ name: Cloud Native - Wasm - Installable Platform type: Tech-2 data: - github_repo: - - 308404813 # repo:suborbital/atmo - - 345774446 # repo:deislabs/hippo - - 226983227 # repo:krustlet/krustlet + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 308404813 + name: suborbital/atmo + - id: 345774446 + name: deislabs/hippo + - id: 226983227 + name: krustlet/krustlet diff --git a/labeled_data/technology/cloud_native/wasm/packaging_registries_and_application_delivery.yml b/labeled_data/technology/cloud_native/wasm/packaging_registries_and_application_delivery.yml index 8f82991b5..c6526676c 100644 --- a/labeled_data/technology/cloud_native/wasm/packaging_registries_and_application_delivery.yml +++ b/labeled_data/technology/cloud_native/wasm/packaging_registries_and_application_delivery.yml @@ -1,5 +1,9 @@ name: Cloud Native - Wasm - Packaging, Registries & Application Delivery type: Tech-2 data: - github_repo: - - 36960321 # repo:opencontainers/runc + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 36960321 + name: opencontainers/runc diff --git a/labeled_data/technology/cloud_native/wasm/runtime.yml b/labeled_data/technology/cloud_native/wasm/runtime.yml index d90c3ffae..d8df63505 100644 --- a/labeled_data/technology/cloud_native/wasm/runtime.yml +++ b/labeled_data/technology/cloud_native/wasm/runtime.yml @@ -1,13 +1,25 @@ name: Cloud Native - Wasm - Runtime type: Tech-2 data: - github_repo: - - 350268741 # repo:second-state/crunw - - 24420506 # repo:v8/v8 - - 184654298 # repo:bytecodealliance/wasm-micro-runtime - - 212152900 # repo:wasm3/wasm3 - - 224908244 # repo:WasmEdge/WasmEdge - - 152572186 # repo:wasmerio/wasmer - - 118469706 # repo:paritytech/wasmi - - 101767772 # repo:bytecodealliance/wasmtime - - 41151921 # repo:WAVM/WAVM + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 350268741 + name: second-state/crunw + - id: 24420506 + name: v8/v8 + - id: 184654298 + name: bytecodealliance/wasm-micro-runtime + - id: 212152900 + name: wasm3/wasm3 + - id: 224908244 + name: WasmEdge/WasmEdge + - id: 152572186 + name: wasmerio/wasmer + - id: 118469706 + name: paritytech/wasmi + - id: 101767772 + name: bytecodealliance/wasmtime + - id: 41151921 + name: WAVM/WAVM diff --git a/labeled_data/technology/cloud_native/wasm/specifications.yml b/labeled_data/technology/cloud_native/wasm/specifications.yml index 4634e8524..8b901c1f6 100644 --- a/labeled_data/technology/cloud_native/wasm/specifications.yml +++ b/labeled_data/technology/cloud_native/wasm/specifications.yml @@ -1,8 +1,15 @@ name: Cloud Native - Wasm - Specifications type: Tech-2 data: - github_repo: - - 53178225 # repo:ewasm/design - - 179135166 # repo:WebAssembly/WASI - - 263765444 # repo:WebAssembly/wasi-nn - - 40598815 # repo:WebAssembly/spec + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 53178225 + name: ewasm/design + - id: 179135166 + name: WebAssembly/WASI + - id: 263765444 + name: WebAssembly/wasi-nn + - id: 40598815 + name: WebAssembly/spec diff --git a/labeled_data/technology/cloud_native/wasm/toolchain.yml b/labeled_data/technology/cloud_native/wasm/toolchain.yml index 432b657b3..ba77679a8 100644 --- a/labeled_data/technology/cloud_native/wasm/toolchain.yml +++ b/labeled_data/technology/cloud_native/wasm/toolchain.yml @@ -1,10 +1,19 @@ name: Cloud Native - Wasm - Toolchain type: Tech-2 data: - github_repo: - - 1357796 # repo:emscripten-core/emscripten - - 75821432 # repo:llvm/llvm-project - - 163517929 # repo:hyperledger-labs/solang - - 304483748 # repo:suborbital/subo - - 359427864 # repo:wapc/wapc-js - - 121253762 # repo:rustwasm/wasm-pack + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 1357796 + name: emscripten-core/emscripten + - id: 75821432 + name: llvm/llvm-project + - id: 163517929 + name: hyperledger-labs/solang + - id: 304483748 + name: suborbital/subo + - id: 359427864 + name: wapc/wapc-js + - id: 121253762 + name: rustwasm/wasm-pack diff --git a/labeled_data/technology/database/array.yml b/labeled_data/technology/database/array.yml index 5063a0d71..0061c7605 100644 --- a/labeled_data/technology/database/array.yml +++ b/labeled_data/technology/database/array.yml @@ -1,13 +1,25 @@ name: Database - Array type: Tech-1 data: - github_repo: - - 534109388 # repo:EuclidOLAP/EuclidOLAP - - 86868560 # repo:TileDB-Inc/TileDB - - 17699493 # repo:cran/scidb - - 96580430 # repo:datajaguar/jaguardb - - 5407611 # repo:dioptre/rasdaman - - 664133375 # repo:epsilla-cloud/vectordb - - 45732002 # repo:jnidzwetzki/bboxdb - - 162765004 # repo:peermaps/eyros - - 156942199 # repo:perone/euclidesdb + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 534109388 + name: EuclidOLAP/EuclidOLAP + - id: 86868560 + name: TileDB-Inc/TileDB + - id: 17699493 + name: cran/scidb + - id: 96580430 + name: datajaguar/jaguardb + - id: 5407611 + name: dioptre/rasdaman + - id: 664133375 + name: epsilla-cloud/vectordb + - id: 45732002 + name: jnidzwetzki/bboxdb + - id: 162765004 + name: peermaps/eyros + - id: 156942199 + name: perone/euclidesdb diff --git a/labeled_data/technology/database/content.yml b/labeled_data/technology/database/content.yml index fbe2aa3de..fef8ba397 100644 --- a/labeled_data/technology/database/content.yml +++ b/labeled_data/technology/database/content.yml @@ -1,6 +1,11 @@ name: Database - Content type: Tech-1 data: - github_repo: - - 1244027 # repo:ModeShape/modeshape - - 206403 # repo:apache/jackrabbit + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 1244027 + name: ModeShape/modeshape + - id: 206403 + name: apache/jackrabbit diff --git a/labeled_data/technology/database/document.yml b/labeled_data/technology/database/document.yml index c35503dd8..bf68ecdcc 100644 --- a/labeled_data/technology/database/document.yml +++ b/labeled_data/technology/database/document.yml @@ -1,125 +1,249 @@ name: Database - Document type: Tech-1 data: - github_repo: - - 215532341 # repo:256dpi/lungo - - 25780780 # repo:AlaSQL/alasql - - 61179047 # repo:Alachisoft/NosDB - - 522606931 # repo:Anna-Team/AnnaDB - - 396867188 # repo:ArcadeData/arcadedb - - 1374129 # repo:BaseXdb/basex - - 8799170 # repo:DevrexLabs/OrigoDB - - 422821402 # repo:FerretDB/FerretDB - - 605189726 # repo:FgForrest/evitaDB - - 8313554 # repo:Greg0/Lazer-Database - - 10296238 # repo:HouzuoGuo/tiedot - - 19271154 # repo:JetBrains/xodus - - 31315021 # repo:Kinto/kinto - - 533032 # repo:LinkedInAttic/sensei - - 646427433 # repo:LonaDB/Hadro - - 188354257 # repo:SequoiaDB/SequoiaDB - - 474070793 # repo:SnellerInc/sneller - - 6427744 # repo:Softmotions/ejdb - - 8428443 # repo:X2rdas/easedb - - 31976266 # repo:apache/asterixdb - - 206417 # repo:apache/couchdb - - 5683653 # repo:apache/drill - - 341631350 # repo:apache/lucene - - 341374920 # repo:apache/solr - - 114187903 # repo:apple/foundationdb - - 137869753 # repo:appy-one/acebase - - 2649214 # repo:arangodb/arangodb - - 36778364 # repo:attic-labs/noms - - 642912355 # repo:awa-ai/awadb - - 141378316 # repo:beardedeagle/mnesiac - - 88422672 # repo:bergdb/bergdb - - 2380364 # repo:berkeleydb/libdb - - 51290852 # repo:bigchaindb/bigchaindb - - 57401138 # repo:bitnine-oss/agensgraph - - 127338417 # repo:bluzi/jsonstore - - 234091935 # repo:c9fe/sirdb - - 639434928 # repo:cfu288/SylvieJS - - 546206616 # repo:chroma-core/chroma - - 13353426 # repo:cinchapi/concourse - - 66783145 # repo:couchbase/couchbase-lite-core - - 9342529 # repo:crate/crate - - 249981301 # repo:dappkit/aviondb - - 4732384 # repo:dcramer/mangodb - - 88777477 # repo:dizitart/nitrite-database - - 17684716 # repo:dsukhoroslov/bagri - - 11695619 # repo:eXist-db/exist - - 266444815 # repo:earthstar-project/earthstar - - 507775 # repo:elastic/elasticsearch - - 587246478 # repo:endatabas/endb - - 14143348 # repo:fakemongo/fongo - - 305513242 # repo:fluree/db - - 138411034 # repo:genjidb/genji - - 285669400 # repo:graphikDB/graphik - - 12050336 # repo:hhblaze/DBreeze - - 50836580 # repo:iboxdb/ftserver - - 4984118 # repo:ioquatix/relaxo - - 58524063 # repo:jclo/picodb - - 4859 # repo:jcrosby/cloudkit - - 628503457 # repo:jdagdelen/hyperDB - - 652189 # repo:jedisct1/Pincaster - - 635374751 # repo:jina-ai/vectordb - - 632269609 # repo:kagisearch/vectordb - - 1776883 # repo:kimchy/compass - - 607441698 # repo:lancedb/lancedb - - 376679845 # repo:losfair/RefineDB - - 9795883 # repo:louischatriot/nedb - - 520096046 # repo:marqo-ai/marqo - - 661663226 # repo:maxnowack/signaldb - - 23315232 # repo:mbdavid/LiteDB - - 130688011 # repo:meilisearch/meilisearch - - 26573806 # repo:mgholam/RaptorDB-Document - - 9595928 # repo:mirage/irmin - - 351190 # repo:mmcgrana/fleetdb - - 108110 # repo:mongodb/mongo - - 11380094 # repo:msiemens/tinydb - - 5912693 # repo:ncannasse/castle - - 33053071 # repo:oberasoftware/jasdb - - 3788366 # repo:openlink/virtuoso-opensource - - 192418550 # repo:oracle/nosql-go-sdk - - 48617634 # repo:orbitdb/orbit-db - - 7083240 # repo:orientechnologies/orientdb - - 453191009 # repo:ostafen/clover - - 2662146 # repo:patx/pickledb - - 39519916 # repo:percona/percona-server-mongodb - - 166387176 # repo:polypheny/Polypheny-DB - - 714074 # repo:pouchdb/pouchdb - - 5349565 # repo:prestodb/presto - - 10153163 # repo:priitj/whitedb - - 75425073 # repo:pubkey/rxdb - - 5665061 # repo:radare/sdb - - 129436009 # repo:rakibtg/SleekDB - - 542714 # repo:ravendb/ravendb - - 1917262 # repo:realm/realm-core - - 223462217 # repo:resilientdb/resilientdb - - 6452529 # repo:rethinkdb/rethinkdb - - 336867666 # repo:ribelo/doxa - - 34056205 # repo:sachin-sinha/BangDB - - 664816265 # repo:scratchdata/ScratchDB - - 5841618 # repo:sedna/sedna - - 9525219 # repo:sergeyksv/tingodb - - 4604367 # repo:sirixdb/sirix - - 295745510 # repo:small-tech/jsdb - - 436658287 # repo:surrealdb/surrealdb - - 22761491 # repo:symisc/unqlite - - 911980 # repo:tarantool/tarantool - - 3920536 # repo:teamdev/densodb - - 11654790 # repo:techfort/LokiJS - - 198466472 # repo:terminusdb/terminusdb - - 197858776 # repo:textileio/go-threads - - 449924556 # repo:tigrisdata/tigris - - 86339169 # repo:torodb/server - - 184711 # repo:typicaljoe/taffydb - - 18351848 # repo:typicode/lowdb - - 25364889 # repo:unnamed38/fueldb - - 186332888 # repo:vearch/vearch - - 634656527 # repo:vector5ai/vector5db - - 60377070 # repo:vespa-engine/vespa - - 735981 # repo:xapian/xapian - - 125824259 # repo:xtdb/xtdb - - 456549280 # repo:ydb-platform/ydb - - 47479424 # repo:zerodb/zerodb + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 215532341 + name: 256dpi/lungo + - id: 25780780 + name: AlaSQL/alasql + - id: 61179047 + name: Alachisoft/NosDB + - id: 522606931 + name: Anna-Team/AnnaDB + - id: 396867188 + name: ArcadeData/arcadedb + - id: 1374129 + name: BaseXdb/basex + - id: 8799170 + name: DevrexLabs/OrigoDB + - id: 422821402 + name: FerretDB/FerretDB + - id: 605189726 + name: FgForrest/evitaDB + - id: 8313554 + name: Greg0/Lazer-Database + - id: 10296238 + name: HouzuoGuo/tiedot + - id: 19271154 + name: JetBrains/xodus + - id: 31315021 + name: Kinto/kinto + - id: 533032 + name: LinkedInAttic/sensei + - id: 646427433 + name: LonaDB/Hadro + - id: 188354257 + name: SequoiaDB/SequoiaDB + - id: 474070793 + name: SnellerInc/sneller + - id: 6427744 + name: Softmotions/ejdb + - id: 8428443 + name: X2rdas/easedb + - id: 31976266 + name: apache/asterixdb + - id: 206417 + name: apache/couchdb + - id: 5683653 + name: apache/drill + - id: 341631350 + name: apache/lucene + - id: 341374920 + name: apache/solr + - id: 114187903 + name: apple/foundationdb + - id: 137869753 + name: appy-one/acebase + - id: 2649214 + name: arangodb/arangodb + - id: 36778364 + name: attic-labs/noms + - id: 642912355 + name: awa-ai/awadb + - id: 141378316 + name: beardedeagle/mnesiac + - id: 88422672 + name: bergdb/bergdb + - id: 2380364 + name: berkeleydb/libdb + - id: 51290852 + name: bigchaindb/bigchaindb + - id: 57401138 + name: bitnine-oss/agensgraph + - id: 127338417 + name: bluzi/jsonstore + - id: 234091935 + name: c9fe/sirdb + - id: 639434928 + name: cfu288/SylvieJS + - id: 546206616 + name: chroma-core/chroma + - id: 13353426 + name: cinchapi/concourse + - id: 66783145 + name: couchbase/couchbase-lite-core + - id: 9342529 + name: crate/crate + - id: 249981301 + name: dappkit/aviondb + - id: 4732384 + name: dcramer/mangodb + - id: 88777477 + name: dizitart/nitrite-database + - id: 17684716 + name: dsukhoroslov/bagri + - id: 11695619 + name: eXist-db/exist + - id: 266444815 + name: earthstar-project/earthstar + - id: 507775 + name: elastic/elasticsearch + - id: 587246478 + name: endatabas/endb + - id: 14143348 + name: fakemongo/fongo + - id: 305513242 + name: fluree/db + - id: 138411034 + name: genjidb/genji + - id: 285669400 + name: graphikDB/graphik + - id: 12050336 + name: hhblaze/DBreeze + - id: 50836580 + name: iboxdb/ftserver + - id: 4984118 + name: ioquatix/relaxo + - id: 58524063 + name: jclo/picodb + - id: 4859 + name: jcrosby/cloudkit + - id: 628503457 + name: jdagdelen/hyperDB + - id: 652189 + name: jedisct1/Pincaster + - id: 635374751 + name: jina-ai/vectordb + - id: 632269609 + name: kagisearch/vectordb + - id: 1776883 + name: kimchy/compass + - id: 607441698 + name: lancedb/lancedb + - id: 376679845 + name: losfair/RefineDB + - id: 9795883 + name: louischatriot/nedb + - id: 520096046 + name: marqo-ai/marqo + - id: 661663226 + name: maxnowack/signaldb + - id: 23315232 + name: mbdavid/LiteDB + - id: 130688011 + name: meilisearch/meilisearch + - id: 26573806 + name: mgholam/RaptorDB-Document + - id: 9595928 + name: mirage/irmin + - id: 351190 + name: mmcgrana/fleetdb + - id: 108110 + name: mongodb/mongo + - id: 11380094 + name: msiemens/tinydb + - id: 5912693 + name: ncannasse/castle + - id: 33053071 + name: oberasoftware/jasdb + - id: 3788366 + name: openlink/virtuoso-opensource + - id: 192418550 + name: oracle/nosql-go-sdk + - id: 48617634 + name: orbitdb/orbit-db + - id: 7083240 + name: orientechnologies/orientdb + - id: 453191009 + name: ostafen/clover + - id: 2662146 + name: patx/pickledb + - id: 39519916 + name: percona/percona-server-mongodb + - id: 166387176 + name: polypheny/Polypheny-DB + - id: 714074 + name: pouchdb/pouchdb + - id: 5349565 + name: prestodb/presto + - id: 10153163 + name: priitj/whitedb + - id: 75425073 + name: pubkey/rxdb + - id: 5665061 + name: radare/sdb + - id: 129436009 + name: rakibtg/SleekDB + - id: 542714 + name: ravendb/ravendb + - id: 1917262 + name: realm/realm-core + - id: 223462217 + name: resilientdb/resilientdb + - id: 6452529 + name: rethinkdb/rethinkdb + - id: 336867666 + name: ribelo/doxa + - id: 34056205 + name: sachin-sinha/BangDB + - id: 664816265 + name: scratchdata/ScratchDB + - id: 5841618 + name: sedna/sedna + - id: 9525219 + name: sergeyksv/tingodb + - id: 4604367 + name: sirixdb/sirix + - id: 295745510 + name: small-tech/jsdb + - id: 436658287 + name: surrealdb/surrealdb + - id: 22761491 + name: symisc/unqlite + - id: 911980 + name: tarantool/tarantool + - id: 3920536 + name: teamdev/densodb + - id: 11654790 + name: techfort/LokiJS + - id: 198466472 + name: terminusdb/terminusdb + - id: 197858776 + name: textileio/go-threads + - id: 449924556 + name: tigrisdata/tigris + - id: 86339169 + name: torodb/server + - id: 184711 + name: typicaljoe/taffydb + - id: 18351848 + name: typicode/lowdb + - id: 25364889 + name: unnamed38/fueldb + - id: 186332888 + name: vearch/vearch + - id: 634656527 + name: vector5ai/vector5db + - id: 60377070 + name: vespa-engine/vespa + - id: 735981 + name: xapian/xapian + - id: 125824259 + name: xtdb/xtdb + - id: 456549280 + name: ydb-platform/ydb + - id: 47479424 + name: zerodb/zerodb diff --git a/labeled_data/technology/database/event.yml b/labeled_data/technology/database/event.yml index f7d1454b8..d156e6619 100644 --- a/labeled_data/technology/database/event.yml +++ b/labeled_data/technology/database/event.yml @@ -1,6 +1,11 @@ name: Database - Event type: Tech-1 data: - github_repo: - - 5844474 # repo:EventStore/EventStore - - 738338 # repo:NEventStore/NEventStore + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 5844474 + name: EventStore/EventStore + - id: 738338 + name: NEventStore/NEventStore diff --git a/labeled_data/technology/database/graph.yml b/labeled_data/technology/database/graph.yml index df31b2fe1..ce1e76066 100644 --- a/labeled_data/technology/database/graph.yml +++ b/labeled_data/technology/database/graph.yml @@ -1,48 +1,95 @@ name: Database - Graph type: Tech-1 data: - github_repo: - - 396867188 # repo:ArcadeData/arcadedb - - 1832551 # repo:CulturePlex/Sylva - - 8799170 # repo:DevrexLabs/OrigoDB - - 77385607 # repo:JanusGraph/janusgraph - - 45098765 # repo:PureSolTechnologies/DuctileDB - - 84458512 # repo:RedisGraph/RedisGraph - - 22475123 # repo:amark/gun - - 276293034 # repo:apache/age - - 2282376 # repo:apache/giraph - - 141376301 # repo:apache/incubator-hugegraph - - 30449481 # repo:apache/tinkerpop - - 2649214 # repo:arangodb/arangodb - - 57401138 # repo:bitnine-oss/agensgraph - - 48451041 # repo:blazegraph/database - - 511030127 # repo:ceramicstudio/js-composedb - - 2672286 # repo:cosh/fallen-8 - - 41946572 # repo:degdb/degdb - - 41349039 # repo:dgraph-io/dgraph - - 402209532 # repo:dyedgreen/cqlite - - 668673665 # repo:falkordb/falkordb - - 305513242 # repo:fluree/db - - 47973088 # repo:gchq/Gaffer - - 38727503 # repo:hypergraphdb/hypergraphdb - - 166429903 # repo:jssmith/stigdb - - 65619619 # repo:krotik/eliasdb - - 298763623 # repo:kuzudb/kuzu - - 85236158 # repo:lambdazen/bitsy - - 297302063 # repo:memgraph/memgraph - - 81411018 # repo:microsoft/GraphEngine - - 6650539 # repo:neo4j/neo4j - - 7083240 # repo:orientechnologies/orientdb - - 166387176 # repo:polypheny/Polypheny-DB - - 131763823 # repo:quoll/asami - - 383927661 # repo:ragedb/ragedb - - 73235061 # repo:rayokota/hgraphdb - - 743502 # repo:sones/sones - - 55578752 # repo:stellardb/StellarDB - - 238509 # repo:stevedekorte/vertexdb - - 436658287 # repo:surrealdb/surrealdb - - 198466472 # repo:terminusdb/terminusdb - - 3548254 # repo:thinkaurelius/titan - - 605999 # repo:twitter-archive/flockdb - - 63110867 # repo:vaticle/typedb - - 146459443 # repo:vesoft-inc/nebula + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 396867188 + name: ArcadeData/arcadedb + - id: 1832551 + name: CulturePlex/Sylva + - id: 8799170 + name: DevrexLabs/OrigoDB + - id: 77385607 + name: JanusGraph/janusgraph + - id: 45098765 + name: PureSolTechnologies/DuctileDB + - id: 84458512 + name: RedisGraph/RedisGraph + - id: 22475123 + name: amark/gun + - id: 276293034 + name: apache/age + - id: 2282376 + name: apache/giraph + - id: 141376301 + name: apache/incubator-hugegraph + - id: 30449481 + name: apache/tinkerpop + - id: 2649214 + name: arangodb/arangodb + - id: 57401138 + name: bitnine-oss/agensgraph + - id: 48451041 + name: blazegraph/database + - id: 511030127 + name: ceramicstudio/js-composedb + - id: 2672286 + name: cosh/fallen-8 + - id: 41946572 + name: degdb/degdb + - id: 41349039 + name: dgraph-io/dgraph + - id: 402209532 + name: dyedgreen/cqlite + - id: 668673665 + name: falkordb/falkordb + - id: 305513242 + name: fluree/db + - id: 47973088 + name: gchq/Gaffer + - id: 38727503 + name: hypergraphdb/hypergraphdb + - id: 166429903 + name: jssmith/stigdb + - id: 65619619 + name: krotik/eliasdb + - id: 298763623 + name: kuzudb/kuzu + - id: 85236158 + name: lambdazen/bitsy + - id: 297302063 + name: memgraph/memgraph + - id: 81411018 + name: microsoft/GraphEngine + - id: 6650539 + name: neo4j/neo4j + - id: 7083240 + name: orientechnologies/orientdb + - id: 166387176 + name: polypheny/Polypheny-DB + - id: 131763823 + name: quoll/asami + - id: 383927661 + name: ragedb/ragedb + - id: 73235061 + name: rayokota/hgraphdb + - id: 743502 + name: sones/sones + - id: 55578752 + name: stellardb/StellarDB + - id: 238509 + name: stevedekorte/vertexdb + - id: 436658287 + name: surrealdb/surrealdb + - id: 198466472 + name: terminusdb/terminusdb + - id: 3548254 + name: thinkaurelius/titan + - id: 605999 + name: twitter-archive/flockdb + - id: 63110867 + name: vaticle/typedb + - id: 146459443 + name: vesoft-inc/nebula diff --git a/labeled_data/technology/database/hierarchical.yml b/labeled_data/technology/database/hierarchical.yml index 2d964ea0e..5461eefac 100644 --- a/labeled_data/technology/database/hierarchical.yml +++ b/labeled_data/technology/database/hierarchical.yml @@ -1,6 +1,11 @@ name: Database - Hierarchical type: Tech-1 data: - github_repo: - - 158975124 # repo:apache/iotdb - - 160999 # repo:apache/zookeeper + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 158975124 + name: apache/iotdb + - id: 160999 + name: apache/zookeeper diff --git a/labeled_data/technology/database/index.yml b/labeled_data/technology/database/index.yml index a14919f35..40eb0f88a 100644 --- a/labeled_data/technology/database/index.yml +++ b/labeled_data/technology/database/index.yml @@ -1,7 +1,7 @@ name: Database type: Tech-0 data: - label: + labels: - array - content - document diff --git a/labeled_data/technology/database/key_value.yml b/labeled_data/technology/database/key_value.yml index 680196c04..7d6fb417b 100644 --- a/labeled_data/technology/database/key_value.yml +++ b/labeled_data/technology/database/key_value.yml @@ -1,171 +1,341 @@ name: Database - Key-value type: Tech-1 data: - github_repo: - - 28956774 # repo:Alachisoft/NCache - - 28457976 # repo:AlticeLabsProjects/kyoto - - 12991321 # repo:Amaury/AngstromDB - - 17826843 # repo:AntidoteDB/antidote - - 396867188 # repo:ArcadeData/arcadedb - - 681142 # repo:Bobris/BTDB - - 1922333 # repo:BohuTANG/nessDB - - 8799170 # repo:DevrexLabs/OrigoDB - - 344711168 # repo:IceFireDB/IceFireDB - - 3019304 # repo:Incubaid/arakoon - - 202483348 # repo:KvrocksLabs/kvrocks - - 34406933 # repo:LMDB/lmdb - - 259542436 # repo:LineairDB/LineairDB - - 7085128 # repo:Nanolat/nldb - - 8103021 # repo:Netflix/EVCache - - 21985130 # repo:OpenHFT/Chronicle-Map - - 865412 # repo:OpenTSDB/opentsdb - - 80648455 # repo:PumpkinDB/PumpkinDB - - 26127968 # repo:Qihoo360/pika - - 18409684 # repo:RichardHightower/slumberdb - - 31363586 # repo:STSSoft/STSdb4 - - 168712350 # repo:Snapchat/KeyDB - - 6427744 # repo:Softmotions/ejdb - - 64182745 # repo:SparrowDb/sparrowdb - - 321853986 # repo:Tencent/Tendis - - 13677899 # repo:Treode/store - - 180245584 # repo:YosiSF/EinsteinDB - - 96138741 # repo:YottaDB/YDB - - 124315604 # repo:aerospike/aerospike-server - - 116522453 # repo:akrylysov/pogreb - - 161674141 # repo:alash3al/redix - - 206424 # repo:apache/cassandra - - 34839383 # repo:apache/geode - - 31006158 # repo:apache/ignite - - 28738447 # repo:apache/kylin - - 114187903 # repo:apple/foundationdb - - 2649214 # repo:arangodb/arangodb - - 266515876 # repo:armink/FlashDB - - 457763204 # repo:avinassh/py-caskdb - - 6768410 # repo:badgerman/ennodb - - 613723 # repo:basho/riak - - 791522 # repo:basho/riak_kv - - 88422672 # repo:bergdb/bergdb - - 2380364 # repo:berkeleydb/libdb - - 51290852 # repo:bigchaindb/bigchaindb - - 57401138 # repo:bitnine-oss/agensgraph - - 15345331 # repo:boltdb/bolt - - 320459354 # repo:bytedance/terarkdb - - 33275300 # repo:cachelot/cachelot - - 1196286 # repo:cbd/edis - - 150013328 # repo:cberner/redb - - 220186120 # repo:codenotary/immudb - - 69400326 # repo:confluentinc/ksql - - 66783145 # repo:couchbase/couchbase-lite-core - - 12497058 # repo:couchbase/forestdb - - 811881 # repo:cruppstahl/upscaledb - - 125234630 # repo:danielealbano/cachegrand - - 96580430 # repo:datajaguar/jaguardb - - 292903178 # repo:deroproject/graviton - - 132499340 # repo:developit/histore - - 80087836 # repo:dgraph-io/badger - - 3115025 # repo:dlitz/resin - - 437245741 # repo:dragonflydb/dragonfly - - 17224514 # repo:ehcache/ehcache3 - - 393005910 # repo:engula/engula - - 278320002 # repo:estraier/tkrzw - - 94593596 # repo:etcd-io/bbolt - - 11225014 # repo:etcd-io/etcd - - 6934395 # repo:facebook/rocksdb - - 70541093 # repo:facebookarchive/beringei - - 606800919 # repo:firstbatchxyz/hollowdb - - 292049131 # repo:genderev/assassin - - 67936193 # repo:gfredericks/quinedb - - 23405758 # repo:google/leveldb - - 21800722 # repo:goossaert/kingdb - - 52420005 # repo:griddb/griddb - - 170496871 # repo:gridgain/gridgain - - 154541438 # repo:gruns/ImmortalDB - - 2272541 # repo:gstrauss/mcdb - - 3786237 # repo:hazelcast/hazelcast - - 12050336 # repo:hhblaze/DBreeze - - 1202421 # repo:hibari/hibari - - 195895847 # repo:hivedb/hive - - 274184952 # repo:hoytech/quadrable - - 3502280 # repo:hthetiot/Tokyo-Tyrant - - 7561862 # repo:ideawu/ssdb - - 1050944 # repo:infinispan/infinispan - - 15625555 # repo:infoforcefeed/OlegDB - - 31342455 # repo:iondbproject/iondb - - 265390281 # repo:jakekgrog/GhostDB - - 5453989 # repo:jankotek/mapdb - - 547593 # repo:jingwei/krati - - 37932930 # repo:justin-db/JustinDB - - 191442206 # repo:kashirin-alex/swc-db - - 349627612 # repo:khonsulabs/bonsaidb - - 3102187 # repo:krestenkrab/hanoidb - - 19296225 # repo:ledisdb/ledisdb - - 38254684 # repo:linkedin/PalDB - - 323389945 # repo:logicalclocks/rondb - - 62980788 # repo:marceloboeira/bojack - - 30123805 # repo:mbdavid/FileDB - - 5494148 # repo:mchidk/BinaryRage - - 184981 # repo:memcached/memcached - - 331747853 # repo:microsoft/Extensible-Storage-Engine - - 143253020 # repo:microsoft/FASTER - - 1372117 # repo:nathanmarz/elephantdb - - 4211523 # repo:oleiade/Elevator - - 12106192 # repo:oleiade/trousseau - - 242776849 # repo:oracle/coherence - - 192418550 # repo:oracle/nosql-go-sdk - - 48617634 # repo:orbitdb/orbit-db - - 7083240 # repo:orientechnologies/orientdb - - 606125384 # repo:paypal/junodb - - 278684767 # repo:petermattis/pebble - - 502268740 # repo:photondb/photondb - - 37285717 # repo:pilgr/Paper - - 41986369 # repo:pingcap/tidb - - 5349565 # repo:prestodb/presto - - 385283362 # repo:prologic/bitcask - - 6838921 # repo:prometheus/prometheus - - 542714 # repo:ravendb/ravendb - - 156018 # repo:redis/redis - - 441299511 # repo:reductstore/reductstore - - 210997817 # repo:redwood/redwood - - 494545073 # repo:reesporte/bugfruit - - 76373812 # repo:rescrv/Consus - - 3493103 # repo:rescrv/HyperDex - - 10529222 # repo:rescrv/HyperLevelDB - - 4712089 # repo:reverbrain/elliptics - - 9847951 # repo:robmerrell/hipsterdb - - 345739 # repo:roma/roma - - 318972528 # repo:roseduan/rosedb - - 34056205 # repo:sachin-sinha/BangDB - - 354659748 # repo:saurabh0719/elara - - 33605302 # repo:scalaris-team/scalaris - - 715589 # repo:scalien/scaliendb - - 28449431 # repo:scylladb/scylla - - 121126549 # repo:simerplaha/SwayDB - - 276042304 # repo:skytable/skytable - - 49401416 # repo:spacejam/sled - - 462329984 # repo:speedb-io/speedb - - 36483902 # repo:spotify/heroic - - 34593732 # repo:stephenmcd/curiodb - - 454981666 # repo:streamnative/oxia - - 26888631 # repo:stripe/sequins - - 421444565 # repo:surrealdb/echodb - - 22761491 # repo:symisc/unqlite - - 911980 # repo:tarantool/tarantool - - 63731386 # repo:tidwall/buntdb - - 64404140 # repo:tidwall/redcon - - 70629059 # repo:tidwall/summitdb - - 184227406 # repo:tikv/agatedb - - 48833910 # repo:tikv/tikv - - 3114475 # repo:tomp2p/TomP2P - - 18800032 # repo:tonsky/datascript - - 223895357 # repo:tuxmonk/pupdb - - 179588377 # repo:vinniefalco/NuDB - - 385356389 # repo:vmware/splinterdb - - 214605 # repo:voldemort/voldemort - - 30828379 # repo:willemt/pearldb - - 2944302 # repo:wiredtiger/wiredtiger - - 65259211 # repo:xap/xap - - 160784930 # repo:xujiajun/nutsdb - - 137792810 # repo:yahoo/HaloDB - - 9048279 # repo:yinqiwen/ardb - - 105944401 # repo:yugabyte/yugabyte-db - - 7357595 # repo:zopefoundation/ZODB + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 28956774 + name: Alachisoft/NCache + - id: 28457976 + name: AlticeLabsProjects/kyoto + - id: 12991321 + name: Amaury/AngstromDB + - id: 17826843 + name: AntidoteDB/antidote + - id: 396867188 + name: ArcadeData/arcadedb + - id: 681142 + name: Bobris/BTDB + - id: 1922333 + name: BohuTANG/nessDB + - id: 8799170 + name: DevrexLabs/OrigoDB + - id: 344711168 + name: IceFireDB/IceFireDB + - id: 3019304 + name: Incubaid/arakoon + - id: 202483348 + name: KvrocksLabs/kvrocks + - id: 34406933 + name: LMDB/lmdb + - id: 259542436 + name: LineairDB/LineairDB + - id: 7085128 + name: Nanolat/nldb + - id: 8103021 + name: Netflix/EVCache + - id: 21985130 + name: OpenHFT/Chronicle-Map + - id: 865412 + name: OpenTSDB/opentsdb + - id: 80648455 + name: PumpkinDB/PumpkinDB + - id: 26127968 + name: Qihoo360/pika + - id: 18409684 + name: RichardHightower/slumberdb + - id: 31363586 + name: STSSoft/STSdb4 + - id: 168712350 + name: Snapchat/KeyDB + - id: 6427744 + name: Softmotions/ejdb + - id: 64182745 + name: SparrowDb/sparrowdb + - id: 321853986 + name: Tencent/Tendis + - id: 13677899 + name: Treode/store + - id: 180245584 + name: YosiSF/EinsteinDB + - id: 96138741 + name: YottaDB/YDB + - id: 124315604 + name: aerospike/aerospike-server + - id: 116522453 + name: akrylysov/pogreb + - id: 161674141 + name: alash3al/redix + - id: 206424 + name: apache/cassandra + - id: 34839383 + name: apache/geode + - id: 31006158 + name: apache/ignite + - id: 28738447 + name: apache/kylin + - id: 114187903 + name: apple/foundationdb + - id: 2649214 + name: arangodb/arangodb + - id: 266515876 + name: armink/FlashDB + - id: 457763204 + name: avinassh/py-caskdb + - id: 6768410 + name: badgerman/ennodb + - id: 613723 + name: basho/riak + - id: 791522 + name: basho/riak_kv + - id: 88422672 + name: bergdb/bergdb + - id: 2380364 + name: berkeleydb/libdb + - id: 51290852 + name: bigchaindb/bigchaindb + - id: 57401138 + name: bitnine-oss/agensgraph + - id: 15345331 + name: boltdb/bolt + - id: 320459354 + name: bytedance/terarkdb + - id: 33275300 + name: cachelot/cachelot + - id: 1196286 + name: cbd/edis + - id: 150013328 + name: cberner/redb + - id: 220186120 + name: codenotary/immudb + - id: 69400326 + name: confluentinc/ksql + - id: 66783145 + name: couchbase/couchbase-lite-core + - id: 12497058 + name: couchbase/forestdb + - id: 811881 + name: cruppstahl/upscaledb + - id: 125234630 + name: danielealbano/cachegrand + - id: 96580430 + name: datajaguar/jaguardb + - id: 292903178 + name: deroproject/graviton + - id: 132499340 + name: developit/histore + - id: 80087836 + name: dgraph-io/badger + - id: 3115025 + name: dlitz/resin + - id: 437245741 + name: dragonflydb/dragonfly + - id: 17224514 + name: ehcache/ehcache3 + - id: 393005910 + name: engula/engula + - id: 278320002 + name: estraier/tkrzw + - id: 94593596 + name: etcd-io/bbolt + - id: 11225014 + name: etcd-io/etcd + - id: 6934395 + name: facebook/rocksdb + - id: 70541093 + name: facebookarchive/beringei + - id: 606800919 + name: firstbatchxyz/hollowdb + - id: 292049131 + name: genderev/assassin + - id: 67936193 + name: gfredericks/quinedb + - id: 23405758 + name: google/leveldb + - id: 21800722 + name: goossaert/kingdb + - id: 52420005 + name: griddb/griddb + - id: 170496871 + name: gridgain/gridgain + - id: 154541438 + name: gruns/ImmortalDB + - id: 2272541 + name: gstrauss/mcdb + - id: 3786237 + name: hazelcast/hazelcast + - id: 12050336 + name: hhblaze/DBreeze + - id: 1202421 + name: hibari/hibari + - id: 195895847 + name: hivedb/hive + - id: 274184952 + name: hoytech/quadrable + - id: 3502280 + name: hthetiot/Tokyo-Tyrant + - id: 7561862 + name: ideawu/ssdb + - id: 1050944 + name: infinispan/infinispan + - id: 15625555 + name: infoforcefeed/OlegDB + - id: 31342455 + name: iondbproject/iondb + - id: 265390281 + name: jakekgrog/GhostDB + - id: 5453989 + name: jankotek/mapdb + - id: 547593 + name: jingwei/krati + - id: 37932930 + name: justin-db/JustinDB + - id: 191442206 + name: kashirin-alex/swc-db + - id: 349627612 + name: khonsulabs/bonsaidb + - id: 3102187 + name: krestenkrab/hanoidb + - id: 19296225 + name: ledisdb/ledisdb + - id: 38254684 + name: linkedin/PalDB + - id: 323389945 + name: logicalclocks/rondb + - id: 62980788 + name: marceloboeira/bojack + - id: 30123805 + name: mbdavid/FileDB + - id: 5494148 + name: mchidk/BinaryRage + - id: 184981 + name: memcached/memcached + - id: 331747853 + name: microsoft/Extensible-Storage-Engine + - id: 143253020 + name: microsoft/FASTER + - id: 1372117 + name: nathanmarz/elephantdb + - id: 4211523 + name: oleiade/Elevator + - id: 12106192 + name: oleiade/trousseau + - id: 242776849 + name: oracle/coherence + - id: 192418550 + name: oracle/nosql-go-sdk + - id: 48617634 + name: orbitdb/orbit-db + - id: 7083240 + name: orientechnologies/orientdb + - id: 606125384 + name: paypal/junodb + - id: 278684767 + name: petermattis/pebble + - id: 502268740 + name: photondb/photondb + - id: 37285717 + name: pilgr/Paper + - id: 41986369 + name: pingcap/tidb + - id: 5349565 + name: prestodb/presto + - id: 385283362 + name: prologic/bitcask + - id: 6838921 + name: prometheus/prometheus + - id: 542714 + name: ravendb/ravendb + - id: 156018 + name: redis/redis + - id: 441299511 + name: reductstore/reductstore + - id: 210997817 + name: redwood/redwood + - id: 494545073 + name: reesporte/bugfruit + - id: 76373812 + name: rescrv/Consus + - id: 3493103 + name: rescrv/HyperDex + - id: 10529222 + name: rescrv/HyperLevelDB + - id: 4712089 + name: reverbrain/elliptics + - id: 9847951 + name: robmerrell/hipsterdb + - id: 345739 + name: roma/roma + - id: 318972528 + name: roseduan/rosedb + - id: 34056205 + name: sachin-sinha/BangDB + - id: 354659748 + name: saurabh0719/elara + - id: 33605302 + name: scalaris-team/scalaris + - id: 715589 + name: scalien/scaliendb + - id: 28449431 + name: scylladb/scylla + - id: 121126549 + name: simerplaha/SwayDB + - id: 276042304 + name: skytable/skytable + - id: 49401416 + name: spacejam/sled + - id: 462329984 + name: speedb-io/speedb + - id: 36483902 + name: spotify/heroic + - id: 34593732 + name: stephenmcd/curiodb + - id: 454981666 + name: streamnative/oxia + - id: 26888631 + name: stripe/sequins + - id: 421444565 + name: surrealdb/echodb + - id: 22761491 + name: symisc/unqlite + - id: 911980 + name: tarantool/tarantool + - id: 63731386 + name: tidwall/buntdb + - id: 64404140 + name: tidwall/redcon + - id: 70629059 + name: tidwall/summitdb + - id: 184227406 + name: tikv/agatedb + - id: 48833910 + name: tikv/tikv + - id: 3114475 + name: tomp2p/TomP2P + - id: 18800032 + name: tonsky/datascript + - id: 223895357 + name: tuxmonk/pupdb + - id: 179588377 + name: vinniefalco/NuDB + - id: 385356389 + name: vmware/splinterdb + - id: 214605 + name: voldemort/voldemort + - id: 30828379 + name: willemt/pearldb + - id: 2944302 + name: wiredtiger/wiredtiger + - id: 65259211 + name: xap/xap + - id: 160784930 + name: xujiajun/nutsdb + - id: 137792810 + name: yahoo/HaloDB + - id: 9048279 + name: yinqiwen/ardb + - id: 105944401 + name: yugabyte/yugabyte-db + - id: 7357595 + name: zopefoundation/ZODB diff --git a/labeled_data/technology/database/multivalue.yml b/labeled_data/technology/database/multivalue.yml index 863691b93..610c240d7 100644 --- a/labeled_data/technology/database/multivalue.yml +++ b/labeled_data/technology/database/multivalue.yml @@ -1,9 +1,17 @@ name: Database - Multivalue type: Tech-1 data: - github_repo: - - 17699493 # repo:cran/scidb - - 5407611 # repo:dioptre/rasdaman - - 1984888 # repo:gregjurman/openqm - - 34215181 # repo:jrmarino/AdaBase - - 61269853 # repo:vanilladb/vanillacore + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 17699493 + name: cran/scidb + - id: 5407611 + name: dioptre/rasdaman + - id: 1984888 + name: gregjurman/openqm + - id: 34215181 + name: jrmarino/AdaBase + - id: 61269853 + name: vanilladb/vanillacore diff --git a/labeled_data/technology/database/native_xml.yml b/labeled_data/technology/database/native_xml.yml index d713fecd3..b756e0a22 100644 --- a/labeled_data/technology/database/native_xml.yml +++ b/labeled_data/technology/database/native_xml.yml @@ -1,7 +1,13 @@ name: Database - Native XML type: Tech-1 data: - github_repo: - - 1374129 # repo:BaseXdb/basex - - 11695619 # repo:eXist-db/exist - - 5841618 # repo:sedna/sedna + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 1374129 + name: BaseXdb/basex + - id: 11695619 + name: eXist-db/exist + - id: 5841618 + name: sedna/sedna diff --git a/labeled_data/technology/database/network.yml b/labeled_data/technology/database/network.yml index 733b4ba09..05a3c9202 100644 --- a/labeled_data/technology/database/network.yml +++ b/labeled_data/technology/database/network.yml @@ -1,5 +1,9 @@ name: Database - Network type: Tech-1 data: - github_repo: - - 10153163 # repo:priitj/whitedb + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 10153163 + name: priitj/whitedb diff --git a/labeled_data/technology/database/object_oriented.yml b/labeled_data/technology/database/object_oriented.yml index 4db955ec3..b1d75d9c4 100644 --- a/labeled_data/technology/database/object_oriented.yml +++ b/labeled_data/technology/database/object_oriented.yml @@ -1,40 +1,79 @@ name: Database - Object Oriented type: Tech-1 data: - github_repo: - - 107504377 # repo:ADBSQL/AntDB - - 681142 # repo:Bobris/BTDB - - 52080367 # repo:CUBRID/cubrid - - 329729926 # repo:CondensationDB/Condensation-java - - 8799170 # repo:DevrexLabs/OrigoDB - - 516821813 # repo:HydrasDB/hydra - - 1244027 # repo:ModeShape/modeshape - - 150752008 # repo:SapphireDb/SapphireDb - - 124423054 # repo:The-Alchemist/perst - - 569871553 # repo:VeloxDB/VeloxDB - - 206403 # repo:apache/jackrabbit - - 246343828 # repo:atoti/atoti - - 396856161 # repo:authzed/spicedb - - 644742603 # repo:cloudberrydb/cloudberrydb - - 95070401 # repo:devrexlabs/memstate - - 95817032 # repo:edgedb/edgedb - - 15001136 # repo:etoile/CoreObject - - 42143916 # repo:fern4lvarez/piladb - - 240387847 # repo:gaia-platform/GaiaPlatform - - 48279725 # repo:goshawkdb/server - - 204261394 # repo:iboxdb/db4o-gpl - - 5453989 # repo:jankotek/mapdb - - 119234782 # repo:jonahharris/osdb-beaglesql - - 1776883 # repo:kimchy/compass - - 25225465 # repo:markmeeus/MarcelloDB - - 273564373 # repo:morecraf/Siaqodb - - 351806852 # repo:neondatabase/neon - - 79901405 # repo:objectbox/objectbox-java - - 7083240 # repo:orientechnologies/orientdb - - 432844875 # repo:orioledb/orioledb - - 37285717 # repo:pilgr/Paper - - 14702444 # repo:pipelinedb/pipelinedb - - 927442 # repo:postgres/postgres - - 1917262 # repo:realm/realm-core - - 3893984 # repo:tzaeschke/zoodb - - 7357595 # repo:zopefoundation/ZODB + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 107504377 + name: ADBSQL/AntDB + - id: 681142 + name: Bobris/BTDB + - id: 52080367 + name: CUBRID/cubrid + - id: 329729926 + name: CondensationDB/Condensation-java + - id: 8799170 + name: DevrexLabs/OrigoDB + - id: 516821813 + name: HydrasDB/hydra + - id: 1244027 + name: ModeShape/modeshape + - id: 150752008 + name: SapphireDb/SapphireDb + - id: 124423054 + name: The-Alchemist/perst + - id: 569871553 + name: VeloxDB/VeloxDB + - id: 206403 + name: apache/jackrabbit + - id: 246343828 + name: atoti/atoti + - id: 396856161 + name: authzed/spicedb + - id: 644742603 + name: cloudberrydb/cloudberrydb + - id: 95070401 + name: devrexlabs/memstate + - id: 95817032 + name: edgedb/edgedb + - id: 15001136 + name: etoile/CoreObject + - id: 42143916 + name: fern4lvarez/piladb + - id: 240387847 + name: gaia-platform/GaiaPlatform + - id: 48279725 + name: goshawkdb/server + - id: 204261394 + name: iboxdb/db4o-gpl + - id: 5453989 + name: jankotek/mapdb + - id: 119234782 + name: jonahharris/osdb-beaglesql + - id: 1776883 + name: kimchy/compass + - id: 25225465 + name: markmeeus/MarcelloDB + - id: 273564373 + name: morecraf/Siaqodb + - id: 351806852 + name: neondatabase/neon + - id: 79901405 + name: objectbox/objectbox-java + - id: 7083240 + name: orientechnologies/orientdb + - id: 432844875 + name: orioledb/orioledb + - id: 37285717 + name: pilgr/Paper + - id: 14702444 + name: pipelinedb/pipelinedb + - id: 927442 + name: postgres/postgres + - id: 1917262 + name: realm/realm-core + - id: 3893984 + name: tzaeschke/zoodb + - id: 7357595 + name: zopefoundation/ZODB diff --git a/labeled_data/technology/database/rdf.yml b/labeled_data/technology/database/rdf.yml index e5ffd1be3..b3434f579 100644 --- a/labeled_data/technology/database/rdf.yml +++ b/labeled_data/technology/database/rdf.yml @@ -1,19 +1,37 @@ name: Database - RDF type: Tech-1 data: - github_repo: - - 248094 # repo:4store/4store - - 8335020 # repo:BrightstarDB/BrightstarDB - - 7437073 # repo:apache/jena - - 111333972 # repo:arun1729/cog - - 48451041 # repo:blazegraph/database - - 20537104 # repo:cayleygraph/cayley - - 855939 # repo:dajobe/librdf - - 1340162 # repo:dydra/dydra - - 179586596 # repo:eBay/akutan - - 49670957 # repo:eclipse/rdf4j - - 31719727 # repo:esarbanis/strabon - - 305513242 # repo:fluree/db - - 754873 # repo:njh/redstore - - 16710751 # repo:quoll/mulgara - - 198466472 # repo:terminusdb/terminusdb + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 248094 + name: 4store/4store + - id: 8335020 + name: BrightstarDB/BrightstarDB + - id: 7437073 + name: apache/jena + - id: 111333972 + name: arun1729/cog + - id: 48451041 + name: blazegraph/database + - id: 20537104 + name: cayleygraph/cayley + - id: 855939 + name: dajobe/librdf + - id: 1340162 + name: dydra/dydra + - id: 179586596 + name: eBay/akutan + - id: 49670957 + name: eclipse/rdf4j + - id: 31719727 + name: esarbanis/strabon + - id: 305513242 + name: fluree/db + - id: 754873 + name: njh/redstore + - id: 16710751 + name: quoll/mulgara + - id: 198466472 + name: terminusdb/terminusdb diff --git a/labeled_data/technology/database/relational.yml b/labeled_data/technology/database/relational.yml index 0ec7549e4..a04967512 100644 --- a/labeled_data/technology/database/relational.yml +++ b/labeled_data/technology/database/relational.yml @@ -1,172 +1,343 @@ name: Database - Relational type: Tech-1 data: - github_repo: - - 346976717 # repo:4paradigm/OpenMLDB - - 107504377 # repo:ADBSQL/AntDB - - 623337117 # repo:ALTIBASE/altibase - - 25780780 # repo:AlaSQL/alasql - - 22427082 # repo:BTrDB/btrdb-server - - 581145740 # repo:ByConity/ByConity - - 52080367 # repo:CUBRID/cubrid - - 496505424 # repo:CeresDB/ceresdb - - 60246359 # repo:ClickHouse/ClickHouse - - 129072319 # repo:CovenantSQL/CovenantSQL - - 151762200 # repo:CptTZ/SmallSQL - - 25871447 # repo:DaveVoorhis/Rel - - 93621710 # repo:DeepFound/deep_engine - - 8799170 # repo:DevrexLabs/OrigoDB - - 67904342 # repo:Expensify/Bedrock - - 54005538 # repo:FirebirdSQL/firebird - - 496817075 # repo:GlareDB/glaredb - - 345982729 # repo:GreatSQL/GreatSQL - - 516821813 # repo:HydrasDB/hydra - - 858418 # repo:JakSprats/Alchemy-Database - - 80645561 # repo:JuliaData/JuliaDB.jl - - 533032 # repo:LinkedInAttic/sensei - - 19816070 # repo:MariaDB/server - - 135423959 # repo:Mckoi/origsqldb - - 316690542 # repo:MonetDB/MonetDB - - 41443810 # repo:Postgres-XL/Postgres-XL - - 74375185 # repo:RedBeardLab/rediSQL - - 42580991 # repo:SnappyDataInc/snappydata - - 402945349 # repo:StarRocks/StarRocks - - 501460708 # repo:StoneAtom/stonedb - - 2445970 # repo:VoltDB/voltdb - - 416777125 # repo:alexraffy/sksql - - 3927863 # repo:antonmks/Alenka - - 358917318 # repo:apache/arrow-datafusion - - 1918497 # repo:apache/derby - - 99919302 # repo:apache/doris - - 6358188 # repo:apache/druid - - 20587599 # repo:apache/flink - - 41952293 # repo:apache/hawq - - 206444 # repo:apache/hive - - 56128733 # repo:apache/impala - - 56214719 # repo:apache/incubator-retired-quickstep - - 50647838 # repo:apache/kudu - - 28738447 # repo:apache/kylin - - 20473418 # repo:apache/phoenix - - 19961085 # repo:apache/pinot - - 49876476 # repo:apache/shardingsphere - - 17165658 # repo:apache/spark - - 17971138 # repo:apache/tajo - - 3104540 # repo:apavlo/h-store - - 134193743 # repo:apavlo/metalbase - - 143436277 # repo:baidu/BaikalDB - - 141378316 # repo:beardedeagle/mnesiac - - 16109206 # repo:biokoda/actordb - - 57401138 # repo:bitnine-oss/agensgraph - - 150149024 # repo:blazingdb/pyBlazing - - 91593042 # repo:bloomberg/comdb2 - - 92329433 # repo:canonical/dqlite - - 372181547 # 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140325970 + name: cmu-db/noisepage + - id: 420965027 + name: cnosdb/cnosdb + - id: 16563587 + name: cockroachdb/cockroach + - id: 296950535 + name: codemix/ts-sql + - id: 254418044 + name: coilhq/tigerbeetle + - id: 69400326 + name: confluentinc/ksql + - id: 551374215 + name: cozodb/cozo + - id: 132361668 + name: cswinter/LocustDB + - id: 302827809 + name: datafuselabs/databend + - id: 52507351 + name: diennea/herddb + - id: 198683574 + name: dolthub/dolt + - id: 8544988 + name: dreamdbvilas/wonderdb + - id: 97518356 + name: dremio/dremio-oss + - id: 138754790 + name: duckdb/duckdb + - id: 95817032 + name: edgedb/edgedb + - id: 341208515 + name: edgelesssys/edgelessdb + - id: 61373806 + name: elasql/elasql + - id: 387622288 + name: elliotchance/vsql + - id: 587246478 + name: endatabas/endb + - id: 183929744 + name: erikgrinaker/toydb + - id: 59475316 + name: eventql/eventql + - id: 388946490 + name: facebookincubator/velox + - id: 40127179 + name: featurebasedb/featurebase + - id: 392839612 + name: firebolt-db/firebolt-python-sdk + - id: 305513242 + name: fluree/db + - id: 600860 + name: fosslc/Ingres + - id: 148087762 + name: georgia-tech-db/eva + - id: 3084708 + name: ggaughan/ThinkSQL + - id: 91715647 + name: gnocchixyz/gnocchi + - id: 24650236 + name: google/lovefield + - id: 44781140 + name: greenplum-db/gpdb + - id: 33745913 + name: h2database/h2database + - id: 90541149 + name: heavyai/heavydb + - id: 291675222 + name: hstreamdb/hstream + - id: 87414843 + name: hyrise/hyrise + - id: 13589020 + name: infinidb/infinidb + - id: 11630463 + name: infinisql/infinisql + - id: 119234782 + name: jonahharris/osdb-beaglesql + - id: 119234429 + name: jonahharris/osdb-typhoon + - id: 371172777 + name: kelindar/column + - id: 199466858 + name: kkuchta/tabdb + - id: 7502247 + name: lealone/Lealone + - id: 543276238 + name: libsql/libsql + - id: 509396909 + name: lingo-db/lingo-db + - id: 323389945 + name: logicalclocks/rondb + - id: 23013460 + name: lsst/qserv + - id: 61153677 + name: m3db/m3 + - id: 564689243 + name: man-group/ArcticDB + - id: 95614931 + name: manticoresoftware/manticoresearch + - id: 429630067 + name: marsupialtail/quokka + - id: 339993112 + name: matrixorigin/matrixone + - id: 71015036 + name: mattbostock/timbala + - id: 463071559 + name: minovakovi/akdb + - id: 62660036 + name: mozilla/mentat + - id: 24494032 + name: mysql/mysql-server + - id: 351806852 + name: neondatabase/neon + - id: 147880351 + name: njaard/sonnerie + - id: 372536760 + name: oceanbase/oceanbase + - id: 507829396 + name: openGemini/openGemini + - id: 276117477 + name: opengauss-mirror/openGauss-server + - id: 432844875 + name: orioledb/orioledb + - id: 3766330 + name: pentaho/mondrian + - id: 30753733 + name: percona/percona-server + - id: 9509125 + name: percona/tokudb-engine + - id: 41986369 + name: pingcap/tidb + - id: 205350261 + name: pinusdb/pinusdb + - id: 14702444 + name: pipelinedb/pipelinedb + - id: 510607652 + name: pocketbase/pocketbase + - id: 166387176 + name: polypheny/Polypheny-DB + - id: 927442 + name: postgres/postgres + - id: 258454329 + name: ppml38/icecoal + - id: 5349565 + name: prestodb/presto + - id: 26774602 + name: proullon/ramsql + - id: 275838748 + name: qikkDB/qikkdb + - id: 19257422 + name: questdb/questdb + - id: 5665061 + name: radare/sdb + - id: 117920609 + name: radondb/radon + - id: 206686299 + name: rayokota/kareldb + - id: 393235957 + name: risinglightdb/risinglight + - id: 453068084 + name: risingwavelabs/risingwave + - id: 23247808 + name: rqlite/rqlite + - id: 101723057 + name: ryenus/hsqldb + - id: 2529750 + name: sameeragarwal/blinkdb + - id: 8582237 + name: splicemachine/spliceengine + - id: 510375115 + name: splitgraph/seafowl + - id: 3556910 + name: sql-js/sql.js + - id: 176278485 + name: sqlite/sqlite + - id: 151367139 + name: stellarsql/StellarSQL + - id: 12067343 + name: stephentu/silo + - id: 436658287 + name: surrealdb/surrealdb + - id: 591304097 + name: sutoiku/puffin + - id: 196353673 + name: taosdata/TDengine + - id: 285012797 + name: tensorbase/tensorbase + - id: 678214856 + name: timeplus-io/proton + - id: 443220240 + name: tinyplex/tinybase + - id: 22868877 + name: traildb/traildb + - id: 166515022 + name: trinodb/trino + - id: 697976 + name: twitter-archive/snowflake + - id: 149626591 + name: uber/aresdb + - id: 234910993 + name: vectorengine/vectorsql + - id: 11008207 + name: vitessio/vitess + - id: 19503320 + name: yaledb/calvin + - id: 456549280 + name: ydb-platform/ydb + - id: 105944401 + name: yugabyte/yugabyte-db + - id: 23452009 + name: yxymit/DBx1000 + - id: 334353425 + name: zettadb/kunlun diff --git a/labeled_data/technology/database/search_engine.yml b/labeled_data/technology/database/search_engine.yml index 3b98af944..bcab8569e 100644 --- a/labeled_data/technology/database/search_engine.yml +++ b/labeled_data/technology/database/search_engine.yml @@ -1,14 +1,27 @@ name: Database - Search Engine type: Tech-1 data: - github_repo: - - 341374920 # repo:apache/solr - - 507775 # repo:elastic/elasticsearch - - 95614931 # repo:manticoresoftware/manticoresearch - - 520096046 # repo:marqo-ai/marqo - - 130688011 # repo:meilisearch/meilisearch - - 334274271 # repo:opensearch-project/OpenSearch - - 36992044 # repo:sphinxsearch/sphinx - - 79317191 # repo:typesense/typesense - - 60377070 # repo:vespa-engine/vespa - - 735981 # repo:xapian/xapian + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 341374920 + name: apache/solr + - id: 507775 + name: elastic/elasticsearch + - id: 95614931 + name: manticoresoftware/manticoresearch + - id: 520096046 + name: marqo-ai/marqo + - id: 130688011 + name: meilisearch/meilisearch + - id: 334274271 + name: opensearch-project/OpenSearch + - id: 36992044 + name: sphinxsearch/sphinx + - id: 79317191 + name: typesense/typesense + - id: 60377070 + name: vespa-engine/vespa + - id: 735981 + name: xapian/xapian diff --git a/labeled_data/technology/database/spatial.yml b/labeled_data/technology/database/spatial.yml index 8cb06544b..6bf383a1d 100644 --- a/labeled_data/technology/database/spatial.yml +++ b/labeled_data/technology/database/spatial.yml @@ -1,8 +1,15 @@ name: Database - Spatial type: Tech-1 data: - github_repo: - - 93667206 # repo:geomesa/geomesa-geoserver - - 7171304 # repo:illarionov/SpatiaLite - - 9074548 # repo:orbisgis/h2gis - - 4407129 # repo:postgis/postgis + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 93667206 + name: geomesa/geomesa-geoserver + - id: 7171304 + name: illarionov/SpatiaLite + - id: 9074548 + name: orbisgis/h2gis + - id: 4407129 + name: postgis/postgis diff --git a/labeled_data/technology/database/time_series.yml b/labeled_data/technology/database/time_series.yml index 6bd874d57..65446a2f3 100644 --- a/labeled_data/technology/database/time_series.yml +++ b/labeled_data/technology/database/time_series.yml @@ -1,30 +1,59 @@ name: Database - Time Series type: Tech-1 data: - github_repo: - - 396867188 # repo:ArcadeData/arcadedb - - 480217156 # repo:GreptimeTeam/greptimedb - - 89848289 # repo:KxSystems/kdb - - 16189524 # repo:OpenNMS/newts - - 865412 # repo:OpenTSDB/opentsdb - - 55093657 # repo:SiriDB/siridb-server - - 150954997 # repo:VictoriaMetrics/VictoriaMetrics - - 158975124 # repo:apache/iotdb - - 420965027 # repo:cnosdb/cnosdb - - 4254338 # repo:graphite-project/graphite-web - - 52420005 # repo:griddb/griddb - - 17705626 # repo:hawkular/hawkular-metrics - - 13124802 # repo:influxdata/influxdb - - 8039659 # repo:kairosdb/kairosdb - - 61153677 # repo:m3db/m3 - - 5761553 # repo:oetiker/rrdtool-1.x - - 507829396 # repo:openGemini/openGemini - - 6838921 # repo:prometheus/prometheus - - 19257422 # repo:questdb/questdb - - 10081109 # repo:rackerlabs/blueflood - - 135549948 # repo:radicalbit/NSDb - - 50594316 # repo:senx/warp10-platform - - 15682781 # repo:sitewhere/sitewhere - - 36483902 # repo:spotify/heroic - - 196353673 # repo:taosdata/TDengine - - 84240850 # repo:timescale/timescaledb + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 396867188 + name: ArcadeData/arcadedb + - id: 480217156 + name: GreptimeTeam/greptimedb + - id: 89848289 + name: KxSystems/kdb + - id: 16189524 + name: OpenNMS/newts + - id: 865412 + name: OpenTSDB/opentsdb + - id: 55093657 + name: SiriDB/siridb-server + - id: 150954997 + name: VictoriaMetrics/VictoriaMetrics + - id: 158975124 + name: apache/iotdb + - id: 420965027 + name: cnosdb/cnosdb + - id: 4254338 + name: graphite-project/graphite-web + - id: 52420005 + name: griddb/griddb + - id: 17705626 + name: hawkular/hawkular-metrics + - id: 13124802 + name: influxdata/influxdb + - id: 8039659 + name: kairosdb/kairosdb + - id: 61153677 + name: m3db/m3 + - id: 5761553 + name: oetiker/rrdtool-1.x + - id: 507829396 + name: openGemini/openGemini + - id: 6838921 + name: prometheus/prometheus + - id: 19257422 + name: questdb/questdb + - id: 10081109 + name: rackerlabs/blueflood + - id: 135549948 + name: radicalbit/NSDb + - id: 50594316 + name: senx/warp10-platform + - id: 15682781 + name: sitewhere/sitewhere + - id: 36483902 + name: spotify/heroic + - id: 196353673 + name: taosdata/TDengine + - id: 84240850 + name: timescale/timescaledb diff --git a/labeled_data/technology/database/vector.yml b/labeled_data/technology/database/vector.yml index 630fe1591..8b23d6fdb 100644 --- a/labeled_data/technology/database/vector.yml +++ b/labeled_data/technology/database/vector.yml @@ -1,21 +1,41 @@ name: Database - Vector type: Tech-1 data: - github_repo: - - 201403923 # repo:activeloopai/deeplake - - 642912355 # repo:awa-ai/awadb - - 546206616 # repo:chroma-core/chroma - - 304530333 # repo:featureform/embeddinghub - - 628503457 # repo:jdagdelen/hyperDB - - 635374751 # repo:jina-ai/vectordb - - 632269609 # repo:kagisearch/vectordb - - 242383787 # repo:marekgalovic/anndb - - 520096046 # repo:marqo-ai/marqo - - 208728772 # repo:milvus-io/milvus - - 478288303 # repo:nuclia/nucliadb - - 40127179 # repo:pilosa/pilosa - - 268163609 # repo:qdrant/qdrant - - 55072677 # repo:semi-technologies/weaviate - - 195619075 # repo:vdaas/vald - - 186332888 # repo:vearch/vearch - - 634656527 # repo:vector5ai/vector5db + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 201403923 + name: activeloopai/deeplake + - id: 642912355 + name: awa-ai/awadb + - id: 546206616 + name: chroma-core/chroma + - id: 304530333 + name: featureform/embeddinghub + - id: 628503457 + name: jdagdelen/hyperDB + - id: 635374751 + name: jina-ai/vectordb + - id: 632269609 + name: kagisearch/vectordb + - id: 242383787 + name: marekgalovic/anndb + - id: 520096046 + name: marqo-ai/marqo + - id: 208728772 + name: milvus-io/milvus + - id: 478288303 + name: nuclia/nucliadb + - id: 40127179 + name: pilosa/pilosa + - id: 268163609 + name: qdrant/qdrant + - id: 55072677 + name: semi-technologies/weaviate + - id: 195619075 + name: vdaas/vald + - id: 186332888 + name: vearch/vearch + - id: 634656527 + name: vector5ai/vector5db diff --git a/labeled_data/technology/database/wide_column.yml b/labeled_data/technology/database/wide_column.yml index 94960d801..8bbcd05e9 100644 --- a/labeled_data/technology/database/wide_column.yml +++ b/labeled_data/technology/database/wide_column.yml @@ -1,22 +1,43 @@ name: Database - Wide Column type: Tech-1 data: - github_repo: - - 316690542 # repo:MonetDB/MonetDB - - 150954997 # repo:VictoriaMetrics/VictoriaMetrics - - 2524488 # repo:apache/accumulo - - 206424 # repo:apache/cassandra - - 5683653 # repo:apache/drill - - 6358188 # repo:apache/druid - - 20089857 # repo:apache/hbase - - 36349344 # repo:apache/trafodion - - 18129915 # repo:baidu/tera - - 182849188 # repo:delta-io/delta - - 191676087 # repo:eleme/lindb - - 1584552 # repo:hypertable/hypertable - - 13124802 # repo:influxdata/influxdb - - 191442206 # repo:kashirin-alex/swc-db - - 473235285 # repo:polarsignals/frostdb - - 5349565 # repo:prestodb/presto - - 28449431 # repo:scylladb/scylla - - 41209174 # repo:strapdata/elassandra + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 316690542 + name: MonetDB/MonetDB + - id: 150954997 + name: VictoriaMetrics/VictoriaMetrics + - id: 2524488 + name: apache/accumulo + - id: 206424 + name: apache/cassandra + - id: 5683653 + name: apache/drill + - id: 6358188 + name: apache/druid + - id: 20089857 + name: apache/hbase + - id: 36349344 + name: apache/trafodion + - id: 18129915 + name: baidu/tera + - id: 182849188 + name: delta-io/delta + - id: 191676087 + name: eleme/lindb + - id: 1584552 + name: hypertable/hypertable + - id: 13124802 + name: influxdata/influxdb + - id: 191442206 + name: kashirin-alex/swc-db + - id: 473235285 + name: polarsignals/frostdb + - id: 5349565 + name: prestodb/presto + - id: 28449431 + name: scylladb/scylla + - id: 41209174 + name: strapdata/elassandra diff --git a/labeled_data/technology/frontend/index.yml b/labeled_data/technology/frontend/index.yml index 3291e834d..d9b7d0fd7 100644 --- a/labeled_data/technology/frontend/index.yml +++ b/labeled_data/technology/frontend/index.yml @@ -1,115 +1,229 @@ name: Frontend type: Tech-0 data: - github_repo: - - 11730342 # repo:vuejs/vue - - 257485422 # repo:vitejs/vite - - 381907715 # repo:vuejs/petite-vue - - 24195339 # repo:angular/angular - - 21399598 # repo:angular/material - - 24953448 # repo:google/material-design-icons - - 31792824 # repo:flutter/flutter - - 10270250 # repo:facebook/react - - 29028775 # repo:facebook/react-native - - 154201259 # repo:facebook/hermes - - 129283183 # repo:facebook/flipper - - 151472642 # repo:facebookincubator/spectrum - - 31533997 # repo:facebook/fresco - - 80179724 # repo:facebook/litho - - 18503721 # repo:facebook/yoga - - 29703871 # repo:facebook/stetho - - 103603776 # repo:facebookincubator/profilo - - 32600951 # repo:facebook/componentkit - - 45147841 # repo:facebookarchive/prepack - - 22046023 # repo:facebook/flux - - 52113921 # repo:facebookarchive/draft-js - - 167174 # repo:jquery/jquery - - 27193779 # repo:nodejs/node - - 9384267 # repo:electron/electron - - 7530570 # repo:appium/appium - - 10160528 # repo:dojo/dojo - - 15720445 # repo:marko-js/marko - - 11061773 # repo:eslint/eslint - - 3678731 # repo:webpack/webpack - - 2126244 # repo:twbs/bootstrap - - 17469184 # repo:bootflat/bootflat.github.io - - 190211663 # repo:ivanvorobei/SwiftUI - - 27835638 # repo:aurelia/framework - - 121594173 # repo:aurelia/aurelia - - 67274736 # repo:ElemeFE/element - - 281319253 # repo:element-plus/element-plus - - 3100121 # repo:nwjs/nw.js - - 34526884 # repo:ant-design/ant-design - - 9603240 # repo:pure-css/pure - - 529502 # repo:scrapy/scrapy - - 12256376 # repo:ionic-team/ionic-framework - - 3214406 # repo:meteor/meteor - - 2573058 # repo:foundation/foundation-sites - - 191051391 # repo:redwoodjs/redwood - - 13142126 # repo:riot/riot - - 133442384 # repo:denoland/deno - - 952189 # repo:jashkenas/backbone - - 596892 # repo:pallets/flask - - 74293321 # repo:sveltejs/svelte - - 1863329 # repo:laravel/laravel - - 9309093 # repo:Semantic-Org/Semantic-UI - - 71995937 # repo:nuxt/nuxt - - 1685764 # repo:dhg/Skeleton - - 36535156 # repo:reduxjs/redux - - 17814354 # repo:MithrilJS/mithril.js - - 1844251 # repo:tastejs/todomvc - - 275993885 # repo:appsmithorg/appsmith - - 50264296 # repo:jgthms/bulma - - 5532320 # repo:Polymer/polymer - - 4164482 # repo:django/django - - 576201 # repo:mrdoob/three.js - - 20904437 # repo:gin-gonic/gin - - 24560307 # repo:babel/babel - - 35640229 # repo:rollup/rollup - - 13078968 # repo:postcss/postcss - - 70107786 # repo:vercel/next.js - - 307489284 # repo:remix-run/remix - - 130884470 # repo:solidjs/solid - - 101767772 # repo:bytecodealliance/wasmtime - - 212152900 # repo:wasm3/wasm3 - - 461710233 # repo:pyscript/pyscript - - 255378816 # repo:bigskysoftware/htmx - - 224663696 # repo:alpinejs/alpine - - 95797174 # repo:lit/lit - - 72717562 # repo:alibaba/ice - - 172702973 # repo:alibaba/coobjc - - 173885446 # 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- - 13152531 # repo:thinkjs/thinkjs - - 60978609 # repo:ctripcorp/moles-packer - - 124171501 # repo:Meituan-Dianping/mpvue - - 193444509 # repo:iqiyi/Qigsaw - - 131093371 # repo:iqiyi/LiteApp - - 149471958 # repo:iqiyi/Neptune - - 179411861 # repo:iqiyi/xCrash + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 11730342 + name: vuejs/vue + - id: 257485422 + name: vitejs/vite + - id: 381907715 + name: vuejs/petite-vue + - id: 24195339 + name: angular/angular + - id: 21399598 + name: angular/material + - id: 24953448 + name: google/material-design-icons + - id: 31792824 + name: flutter/flutter + - id: 10270250 + name: facebook/react + - id: 29028775 + name: facebook/react-native + - id: 154201259 + name: facebook/hermes + - id: 129283183 + name: facebook/flipper + - id: 151472642 + name: facebookincubator/spectrum + - id: 31533997 + name: facebook/fresco + - id: 80179724 + name: facebook/litho + - id: 18503721 + name: facebook/yoga + - id: 29703871 + name: facebook/stetho 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name: scrapy/scrapy + - id: 12256376 + name: ionic-team/ionic-framework + - id: 3214406 + name: meteor/meteor + - id: 2573058 + name: foundation/foundation-sites + - id: 191051391 + name: redwoodjs/redwood + - id: 13142126 + name: riot/riot + - id: 133442384 + name: denoland/deno + - id: 952189 + name: jashkenas/backbone + - id: 596892 + name: pallets/flask + - id: 74293321 + name: sveltejs/svelte + - id: 1863329 + name: laravel/laravel + - id: 9309093 + name: Semantic-Org/Semantic-UI + - id: 71995937 + name: nuxt/nuxt + - id: 1685764 + name: dhg/Skeleton + - id: 36535156 + name: reduxjs/redux + - id: 17814354 + name: MithrilJS/mithril.js + - id: 1844251 + name: tastejs/todomvc + - id: 275993885 + name: appsmithorg/appsmith + - id: 50264296 + name: jgthms/bulma + - id: 5532320 + name: Polymer/polymer + - id: 4164482 + name: django/django + - id: 576201 + name: mrdoob/three.js + - id: 20904437 + name: gin-gonic/gin + - id: 24560307 + name: babel/babel + - id: 35640229 + name: rollup/rollup + - id: 13078968 + name: postcss/postcss + - id: 70107786 + name: vercel/next.js + - id: 307489284 + name: remix-run/remix + - id: 130884470 + name: solidjs/solid + - id: 101767772 + name: bytecodealliance/wasmtime + - id: 212152900 + name: wasm3/wasm3 + - id: 461710233 + name: pyscript/pyscript + - id: 255378816 + name: bigskysoftware/htmx + - id: 224663696 + name: alpinejs/alpine + - id: 95797174 + name: lit/lit + - id: 72717562 + name: alibaba/ice + - id: 172702973 + name: alibaba/coobjc + - id: 173885446 + name: alibaba/fish-redux + - id: 174063999 + name: alibaba/flutter_boost + - id: 138132664 + name: alibaba-fusion/next + - id: 111667959 + name: umijs/umi + - id: 99705100 + name: NG-ZORRO/ng-zorro-antd + - id: 175650201 + name: alipay/SoloPi + - id: 186744765 + name: areslabs/alita + - id: 128624453 + name: NervJS/taro + - id: 118392397 + name: jdf2e/nutui + - id: 9185792 + name: apache/echarts + - id: 11893084 + name: fex-team/webuploader + - id: 13203894 + name: tangrams/tangram + - id: 28167802 + name: Tencent/weui + - id: 73681508 + name: Tencent/wepy + - id: 221822577 + name: Tencent/Hippy + - id: 191744942 + name: Tencent/Shadow + - id: 78492853 + name: wux-weapp/wux-weapp + - id: 166419150 + name: didi/chameleon + - id: 334586085 + name: tnfe/transx + - id: 160603028 + name: didi/mpx + - id: 128586820 + name: didi/pile.js + - id: 182968735 + name: didi/booster + - id: 140687430 + name: dcloudio/uni-app + - id: 88717215 + name: youzan/vant + - id: 8497273 + name: 58code/Argo + - id: 93732702 + name: Qihoo360/RePlugin + - id: 96287699 + name: spritejs/spritejs + - id: 41482296 + name: DroidPluginTeam/DroidPlugin + - id: 13152531 + name: thinkjs/thinkjs + - id: 60978609 + name: ctripcorp/moles-packer + - id: 124171501 + name: Meituan-Dianping/mpvue + - id: 193444509 + name: iqiyi/Qigsaw + - id: 131093371 + name: iqiyi/LiteApp + - id: 149471958 + name: iqiyi/Neptune + - id: 179411861 + name: iqiyi/xCrash diff --git a/labeled_data/technology/iot/index.yml b/labeled_data/technology/iot/index.yml index 4554b0c9a..8be0c0e97 100644 --- a/labeled_data/technology/iot/index.yml +++ b/labeled_data/technology/iot/index.yml @@ -1,39 +1,77 @@ name: Internet of Things type: Tech-0 data: - github_repo: - - 7408108 # repo:RT-Thread/rt-thread - - 206121828 # repo:FreeRTOS/FreeRTOS - - 207354223 # repo:FreeRTOS/FreeRTOS-Kernel - - 82517252 # repo:Samsung/TizenRT - - 8270972 # repo:ARMmbed/mbed-os - - 7139506 # repo:tinyos/tinyos-main - - 95133665 # repo:s-matyukevich/raspberry-pi-os - - 3199002 # repo:raspberrypi/linux - - 13096677 # repo:beagleboard/linux - - 919161 # repo:arduino/Arduino - - 10476504 # repo:devicehive/devicehive-java-server - - 17839346 # repo:kaaproject/kaa - - 18918709 # repo:zettajs/zetta - - 75277003 # repo:thingsboard/thingsboard - - 7370241 # repo:RIOT-OS/RIOT - - 31526467 # repo:Kinoma/kinomajs - - 45821540 # repo:openwrt/openwrt - - 50994619 # repo:openremote/openremote - - 393740911 # repo:ThingsPanel/ThingsPanel-Go - - 59771425 # repo:zephyrproject-rtos/zephyr - - 6365284 # repo:contiki-os/contiki - - 15682781 # repo:sitewhere/sitewhere - - 158975124 # repo:apache/iotdb - - 203957456 # repo:OpenAtomFoundation/TencentOS-tiny - - 174448630 # repo:jetlinks/jetlinks - - 67934190 # repo:LiteOS/LiteOS - - 7202769 # repo:emqx/emqx - - 196353673 # repo:taosdata/TDengine - - 230403844 # repo:openLuat/LuatOS - - 101866073 # repo:alibaba/AliOS-Things - - 156054898 # repo:FMSoftCN/hybridos - - 92706019 # repo:VincentWei/MiniGUI - - 65899476 # repo:espressif/esp-idf - - 70127218 # repo:espressif/arduino-esp32 - - 157947831 # repo:IoTSharp/IoTSharp + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 7408108 + name: RT-Thread/rt-thread + - id: 206121828 + name: FreeRTOS/FreeRTOS + - id: 207354223 + name: FreeRTOS/FreeRTOS-Kernel + - id: 82517252 + name: Samsung/TizenRT + - id: 8270972 + name: ARMmbed/mbed-os + - id: 7139506 + name: tinyos/tinyos-main + - id: 95133665 + name: s-matyukevich/raspberry-pi-os + - id: 3199002 + name: raspberrypi/linux + - id: 13096677 + name: beagleboard/linux + - id: 919161 + name: arduino/Arduino + - id: 10476504 + name: devicehive/devicehive-java-server + - id: 17839346 + name: kaaproject/kaa + - id: 18918709 + name: zettajs/zetta + - id: 75277003 + name: thingsboard/thingsboard + - id: 7370241 + name: RIOT-OS/RIOT + - id: 31526467 + name: Kinoma/kinomajs + - id: 45821540 + name: openwrt/openwrt + - id: 50994619 + name: openremote/openremote + - id: 393740911 + name: ThingsPanel/ThingsPanel-Go + - id: 59771425 + name: zephyrproject-rtos/zephyr + - id: 6365284 + name: contiki-os/contiki + - id: 15682781 + name: sitewhere/sitewhere + - id: 158975124 + name: apache/iotdb + - id: 203957456 + name: OpenAtomFoundation/TencentOS-tiny + - id: 174448630 + name: jetlinks/jetlinks + - id: 67934190 + name: LiteOS/LiteOS + - id: 7202769 + name: emqx/emqx + - id: 196353673 + name: taosdata/TDengine + - id: 230403844 + name: openLuat/LuatOS + - id: 101866073 + name: alibaba/AliOS-Things + - id: 156054898 + name: FMSoftCN/hybridos + - id: 92706019 + name: VincentWei/MiniGUI + - id: 65899476 + name: espressif/esp-idf + - id: 70127218 + name: espressif/arduino-esp32 + - id: 157947831 + name: IoTSharp/IoTSharp diff --git a/labeled_data/technology/operating_system/index.yml b/labeled_data/technology/operating_system/index.yml index 3e7271e0a..3e36e6b01 100644 --- a/labeled_data/technology/operating_system/index.yml +++ b/labeled_data/technology/operating_system/index.yml @@ -1,90 +1,179 @@ name: Operating System type: Tech-0 data: - github_repo: - - 2325298 # repo:torvalds/linux - - 160083795 # repo:SerenityOS/serenity - - 34275705 # repo:redox-os/redox - - 95133665 # repo:s-matyukevich/raspberry-pi-os - - 105627846 # repo:reactos/reactos - - 179385712 # repo:bottlerocket-os/bottlerocket - - 11572519 # repo:NodeOS/NodeOS - - 1259258 # repo:klange/toaruos - - 334777857 # repo:ravynsoft/ravynos - - 21562567 # repo:includeos/IncludeOS - - 36428094 # repo:tock/tock - - 3407114 # repo:oshi/oshi - - 368522797 # repo:nuta/kerla - - 24905898 # repo:armbian/build - - 122112163 # repo:nebulet/nebulet - - 278865472 # repo:archcraft-os/archcraft - - 97989275 # repo:theseus-os/Theseus - - 145472407 # repo:skiftOS/skift - - 27672462 # repo:PureDarwin/PureDarwin - - 267446578 # repo:joshiemoore/snakeware - - 145966066 # repo:FydeOS/chromium_os-raspberry_pi - - 1904156 # repo:haiku/haiku - - 221905326 # repo:vlang/vinix - - 39068568 # repo:Harvey-OS/harvey - - 22577159 # repo:ivandavidov/minimal - - 894162 # repo:illumos/illumos-gate - - 55986591 # repo:amaneureka/AtomOS - - 5879057 # repo:KnightOS/KnightOS - - 41581791 # repo:AnarchyLinux/installer - - 61721573 # repo:jens-maus/RaspberryMatic - - 194619493 # repo:ffwff/lilith - - 216283035 # repo:hermitcore/rusty-hermit - - 181022316 # repo:unikraft/unikraft - - 63081862 # repo:managarm/managarm - - 186245191 # repo:LemonOSProject/LemonOS - - 88021715 # repo:halfer53/winix - - 373449678 # repo:brutal-org/brutal - - 35725043 # repo:dzavalishin/phantomuserland - - 78610786 # repo:hyperledger/cello - - 32414048 # repo:nieklinnenbank/FreeNOS - - 29999505 # repo:1j01/98 - - 135060910 # repo:hermitcore/libhermit-rs - - 381741497 # repo:Zeal-Operating-System/ZealOS - - 288752550 # repo:Supercip971/WingOS - - 443815792 # repo:nifanfa/MOOS - - 71775220 # repo:PDP-10/its - - 471539 # repo:xboot/xboot - - 237669372 # repo:adi1090x/CustomArch - - 346250541 # repo:Andy-Python-Programmer/aero - - 195193555 # repo:opuntiaOS-Project/opuntiaOS - - 102483713 # repo:frednora/gramado - - 42043113 # repo:FlingOS/FlingOS - - 266484942 # repo:KilledByAPixel/OS13k - - 26831846 # repo:PowerNex/PowerNex - - 9084577 # repo:klange/ponyos - - 151748565 # repo:WukLab/LegoOS - - 56892509 # repo:thethumbler/Aquila - - 153988174 # repo:pritamzope/OS - - 161713949 # repo:nuta/resea - - 23472650 # repo:DISTORTEC/distortos - - 135759422 # repo:qword-os/qword - - 212788343 # repo:CorruptedByCPU/Cyjon - - 172999551 # repo:MQuy/mos - - 177123135 # repo:ZystemOS/pluto - - 278410779 # repo:Abb1x/emerald - - 268658891 # repo:byteduck/duckOS - - 91887197 # repo:willdurand/ArvernOS - - 7828683 # repo:Antergos/Cnchi - - 48393782 # repo:JehanneOS/jehanne - - 284319216 # repo:MannyPeterson/HeliOS - - 78310497 # repo:RWTH-OS/eduOS-rs - - 87229637 # repo:AndreaOrru/zen - - 187227261 # repo:aros-development-team/AROS - - 71289159 # repo:manticoreos/manticore - - 234117221 # repo:skyzh/core-os-riscv - - 385489646 # repo:flouthoc/wiser - - 59369383 # repo:yourtion/YOS - - 323129390 # repo:mell-o-tron/MellOs - - 101495023 # repo:IsaacWoods/poplar - - 35319633 # repo:hermitcore/libhermit - - 241571550 # repo:ethan4984/rock - - 343191826 # repo:MandelbrotOS/MandelbrotOS - - 82973353 # repo:emutos/emutos - - 97828097 # repo:aura-systems/Aura-Operating-System - - 65380056 # repo:MarcoCicognani/MeetixOS - - 445587336 # repo:StevenBaby/onix + platforms: + - name: GitHub + type: Code Hosting + repos: + - id: 2325298 + name: torvalds/linux + - id: 160083795 + name: SerenityOS/serenity + - id: 34275705 + name: redox-os/redox + - id: 95133665 + name: s-matyukevich/raspberry-pi-os + - id: 105627846 + name: reactos/reactos + - id: 179385712 + name: bottlerocket-os/bottlerocket + - id: 11572519 + name: NodeOS/NodeOS + - id: 1259258 + name: klange/toaruos + - id: 334777857 + name: ravynsoft/ravynos + - id: 21562567 + name: includeos/IncludeOS + - id: 36428094 + name: tock/tock + - id: 3407114 + name: oshi/oshi + - id: 368522797 + name: nuta/kerla + - id: 24905898 + name: armbian/build + - id: 122112163 + name: nebulet/nebulet + - id: 278865472 + name: archcraft-os/archcraft + - id: 97989275 + name: theseus-os/Theseus + - id: 145472407 + name: skiftOS/skift + - id: 27672462 + name: PureDarwin/PureDarwin + - id: 267446578 + name: joshiemoore/snakeware + - id: 145966066 + name: FydeOS/chromium_os-raspberry_pi + - id: 1904156 + name: haiku/haiku + - id: 221905326 + name: vlang/vinix + - id: 39068568 + name: Harvey-OS/harvey + - id: 22577159 + name: ivandavidov/minimal + - id: 894162 + name: illumos/illumos-gate + - id: 55986591 + name: amaneureka/AtomOS + - id: 5879057 + name: KnightOS/KnightOS + - id: 41581791 + name: AnarchyLinux/installer + - id: 61721573 + name: jens-maus/RaspberryMatic + - id: 194619493 + name: ffwff/lilith + - id: 216283035 + name: hermitcore/rusty-hermit + - id: 181022316 + name: unikraft/unikraft + - id: 63081862 + name: managarm/managarm + - id: 186245191 + name: LemonOSProject/LemonOS + - id: 88021715 + name: halfer53/winix + - id: 373449678 + name: brutal-org/brutal + - id: 35725043 + name: dzavalishin/phantomuserland + - id: 78610786 + name: hyperledger/cello + - id: 32414048 + name: nieklinnenbank/FreeNOS + - id: 29999505 + name: 1j01/98 + - id: 135060910 + name: hermitcore/libhermit-rs + - id: 381741497 + name: Zeal-Operating-System/ZealOS + - id: 288752550 + name: Supercip971/WingOS + - id: 443815792 + name: nifanfa/MOOS + - id: 71775220 + name: PDP-10/its + - id: 471539 + name: xboot/xboot + - id: 237669372 + name: adi1090x/CustomArch + - id: 346250541 + name: Andy-Python-Programmer/aero + - id: 195193555 + name: opuntiaOS-Project/opuntiaOS + - id: 102483713 + name: frednora/gramado + - id: 42043113 + name: FlingOS/FlingOS + - id: 266484942 + name: KilledByAPixel/OS13k + - id: 26831846 + name: PowerNex/PowerNex + - id: 9084577 + name: klange/ponyos + - id: 151748565 + name: WukLab/LegoOS + - id: 56892509 + name: thethumbler/Aquila + - id: 153988174 + name: pritamzope/OS + - id: 161713949 + name: nuta/resea + - id: 23472650 + name: DISTORTEC/distortos + - id: 135759422 + name: qword-os/qword + - id: 212788343 + name: CorruptedByCPU/Cyjon + - id: 172999551 + name: MQuy/mos + - id: 177123135 + name: ZystemOS/pluto + - id: 278410779 + name: Abb1x/emerald + - id: 268658891 + name: byteduck/duckOS + - id: 91887197 + name: willdurand/ArvernOS + - id: 7828683 + name: Antergos/Cnchi + - id: 48393782 + name: JehanneOS/jehanne + - id: 284319216 + name: MannyPeterson/HeliOS + - id: 78310497 + name: RWTH-OS/eduOS-rs + - id: 87229637 + name: AndreaOrru/zen + - id: 187227261 + name: aros-development-team/AROS + - id: 71289159 + name: manticoreos/manticore + - id: 234117221 + name: skyzh/core-os-riscv + - id: 385489646 + name: flouthoc/wiser + - id: 59369383 + name: yourtion/YOS + - id: 323129390 + name: mell-o-tron/MellOs + - id: 101495023 + name: IsaacWoods/poplar + - id: 35319633 + name: hermitcore/libhermit + - id: 241571550 + name: ethan4984/rock + - id: 343191826 + name: MandelbrotOS/MandelbrotOS + - id: 82973353 + name: emutos/emutos + - id: 97828097 + name: aura-systems/Aura-Operating-System + - id: 65380056 + name: MarcoCicognani/MeetixOS + - id: 445587336 + name: StevenBaby/onix diff --git a/notebook/award_result.csv b/notebook/award_result.csv new file mode 100644 index 000000000..1215ad5f7 --- /dev/null +++ b/notebook/award_result.csv @@ -0,0 +1,72 @@ +name,openrank,stars,participants +openEuler,44723.98,3169,3997 +飞桨 Paddle,29872.96,38128,7988 +OpenHarmony,16687.79,1804,3387 +deepin,6954.4,1679,452 +Apache Doris,5223.98,3695,1037 +openKylin,5195.22,648,1369 +TDEngine,4170.18,3309,991 +StarRocks,4073.12,2256,676 +Apache ShardingSphere,3928.33,1508,812 +TiDB,3394.28,2763,522 +Nacos,3200.6,4920,1766 +Apache Flink,3132.28,2393,499 +openGauss,3054.31,360,1168 +JeegcBoot,3027.73,11214,1712 +昇思 MindSpore,2631.72,1327,1460 +Apache DolphinScheduler,2448.04,2076,747 +龙蜥,2248.49,935,482 +Apache Dubbo,2042.06,1915,841 +EMQX,2011.48,1907,333 +Apache SeaTunnel,1994.52,2644,616 +Apache IoTDB,1702.71,1594,233 +Kaldi,1695.2,1514,345 +Bytebase,1667.56,3820,158 +MyBatisPlus,1333.62,2821,1187 +Hyperf,1287.69,1447,429 +隐语,1264.85,1323,436 +Casbin,1063.05,5213,426 +Apache Kyuubi,1035.41,510,218 +Curve,1034.12,622,194 +OpenSumi,997.01,744,135 +WeChaty,987.55,5685,502 +Apache EventMesh,912.76,381,219 +Apache ShenYu,907.94,838,293 +NutUI,834.67,591,270 +DDE,816.89,1,33 +JuiceFS,793.86,1880,190 +HugeGraph,777.71,426,127 +StreamPark,770.03,906,231 +HertzBeat,644.27,2866,313 +Cloudpods,591.43,592,151 +CeresDB,507.91,685,47 +kwok,455.35,1832,100 +OpenTiny,450.34,1654,204 +Sa-Token,389.49,18202,294 +TuGraph,379.83,1084,115 +UBML,372.05,116,48 +Spiderpool,355.94,135,40 +Eosphoros-ai,330.86,2740,189 +HwameiStor,315.04,116,67 +StoneDB,259.09,246,49 +openGemini,254.65,854,86 +Rainbond,239.93,883,90 +魔搭 FaceChain,229,5634,247 +Postcat,222.14,3881,106 +DragonOS,187.16,147,29 +Clusterpedia,154.04,204,44 +开源面对面,132.34,114,36 +DLRover,125.37,437,33 +imi,125.27,288,25 +仿应用开发,121.23,87,123 +LinkWeChat,120.74,1652,104 +VisActor,119.66,903,63 +铜豌豆,115.86,41,24 +GreatSQL,103.92,202,48 +IvorySQL,84.92,545,28 +Kuasar,75.02,891,31 +Merbridge,71.46,198,32 +Dorothy,53.82,138,25 +F-OH,13.73,107,8 +WeMQ,8.09,216,8 +AmazingQuant,0.56,130,2 diff --git a/notebook/handbook.ipynb b/notebook/handbook.ipynb index da6f8ca79..8edc1970b 100755 --- a/notebook/handbook.ipynb +++ b/notebook/handbook.ipynb @@ -80,8 +80,8 @@ "xaxis": { "autorange": true, "range": [ - -0.23786726743640285, - 4.237867267436403 + -0.24017232094776522, + 4.2401723209477655 ] }, "yaxis": { @@ -94,7 +94,7 @@ } } }, - "image/png": 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" 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" }, "execution_count": 2, "metadata": {}, @@ -126,7 +126,7 @@ "\n", "In OpenDigger, we have lots of labeled data for repositories like Company, Foundation, China and etc.\n", "\n", - "You can use `openDigger.label.getLabelData()` to get all the labels and use `openDigger.label.getGitHubData(typeOrIds: string[])` to get GitHub data of certain labels.\n", + "You can use `openDigger.label.getLabelData()` to get all the labels and use `openDigger.label.getPlatformData(typeOrIds: string[])` to get code hosting platform data of certain labels.\n", "\n", "The `openDigger.label.getLabelData()` will return an array with item structure like:\n", "\n", @@ -135,13 +135,17 @@ " identifier: string; // The identifier of the label, like :companies/alibaba or :foundations/apache\n", " type: string; // The type of the label, like Company or Foundation\n", " name: string; // Name of the label, like Alibaba or Apache Software Foundation\n", - " githubRepos: number[]; // GitHub repository ids under this label\n", - " githubOrgs: number[]; // GitHub organization ids under this label\n", - " githubUsers: number[]; // GitHub user ids under this label\n", + " platforms: { // Platforms data of the label\n", + " name: string; // Platform name, like GitHub, Gitee and etc.\n", + " type: string; // Platform type, support `Code Hosting` right now.\n", + " orgs: { id: number; name: string; }[];\n", + " repos: { id: number; name: string; }[];\n", + " users: { id: number; name: string; }[];\n", + " }[];\n", "}\n", "```\n", "\n", - "The `openDigger.label.getGitHubData(typeOrIds: string[])` function accepts an array with label identifiers or types to get all the repository, organization and user ids under the labels." + "The `openDigger.label.getPlatformData(typeOrIds: string[])` function accepts an array with label identifiers or types to get all the repository, organization and user ids under the labels." ] }, { @@ -153,7 +157,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "OpenDigger has 231 labels with 10 types\n" + "OpenDigger has 296 labels with 11 types\n" ] } ], @@ -171,13 +175,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "There are 154 repos and 331 orgs for all foundation and company labels\n" + "There are 134 repos on GitHub and 392 orgs on GitHub for all foundation and company labels\n" ] } ], "source": [ - "var data = openDigger.label.getGitHubData(['Foundation', 'Company']);\n", - "console.log(`There are ${data.githubRepos.length} repos and ${data.githubOrgs.length} orgs for all foundation and company labels`);" + "var data = openDigger.label.getPlatformData(['Foundation', 'Company']);\n", + "console.log(`There are ${data.find(p => p.name === 'GitHub').repos.length} repos on GitHub and ${data.find(p => p.name === 'GitHub').orgs.length} orgs on GitHub for all foundation and company labels`);" ] }, { @@ -207,12 +211,15 @@ "{\n", " labelUnion?: string[]; // use to get all repos have any label in the array\n", " labelIntersect?: string[]; // use to get all repos have all the labels in the array\n", - " repoIds?: number[]; // specific repo id array\n", - " repoNames?: string[]; // specific repo name array\n", - " orgIds?: number[]; // specific org id array\n", - " orgNames?: string[]; // specific org name array\n", - " userIds?: number[]; // specific user id array, used in user query\n", - " userLogins?: string[]; // specific user login array, used in user query\n", + " idOrNames?: {\n", + " platform: string; // specific platform like `GitHub`, `Gitee` and etc.\n", + " repoIds?: number[]; // specific repo id array\n", + " repoNames?: string[]; // specific repo name array\n", + " orgIds?: number[]; // specific org id array\n", + " orgNames?: string[]; // specific org name array\n", + " userIds?: number[]; // specific user id array, used in user query\n", + " userLogins?: string[]; // specific user login array, used in user query\n", + " },\n", " startYear?: number = 2015; // start year of the data, default: 2015\n", " startMonth?: number = 1; // start month of the data, default: 1\n", " endYear?: number = current_year; // end year of the data, default: current year\n", @@ -255,7 +262,7 @@ "data": [ { "mode": "scatter", - "name": "Alibaba", + "name": "SphereEx", "x": [ "2015", "2016", @@ -266,18 +273,18 @@ "2021" ], "y": [ - 8861.2, - 19506.48, - 29869.71, - 43618.64, - 77841.17, - 79998.23, - 79512.43 + 0, + 325.53, + 572.5, + 1516.86, + 3110.3, + 4790.01, + 4954.64 ] }, { "mode": "scatter", - "name": "Baidu", + "name": "PingCAP", "x": [ "2015", "2016", @@ -288,18 +295,18 @@ "2021" ], "y": [ - 13316.4, - 16948.5, - 25616.8, - 33417.34, - 41520.51, - 50615.21, - 60332.72 + 0, + 1398.69, + 2097.8, + 3111.13, + 4952.13, + 6481.54, + 4815.2 ] }, { "mode": "scatter", - "name": "Ant group", + "name": "Alibaba", "x": [ "2015", "2016", @@ -310,18 +317,18 @@ "2021" ], "y": [ - 1361.77, - 11284.25, - 26588.18, - 44755.14, - 53963.31, - 66443.11, - 53810.08 + 263.87, + 475.93, + 1748.38, + 697.7, + 761.54, + 1835.35, + 4427.91 ] }, { "mode": "scatter", - "name": "PingCAP", + "name": "API7", "x": [ "2015", "2016", @@ -332,18 +339,18 @@ "2021" ], "y": [ - 946.64, - 5519.89, - 11770.48, - 17303.3, - 35036.71, - 47653.8, - 46202.83 + 0, + 0, + 0, + 0, + 846.54, + 2958.39, + 4105.57 ] }, { "mode": "scatter", - "name": "Tencent", + "name": "VMWare", "x": [ "2015", "2016", @@ -354,18 +361,18 @@ "2021" ], "y": [ - 193.52, - 1699.6, - 8287.81, - 15327.55, - 22928.72, - 25264.34, - 25724.08 + 0, + 1447.82, + 2413.39, + 2949.6, + 4782.75, + 5358.52, + 3612.14 ] }, { "mode": "scatter", - "name": "QingCloud", + "name": "Timecho", "x": [ "2015", "2016", @@ -376,13 +383,13 @@ "2021" ], "y": [ - 14.56, - 158.98, - 1547.66, - 1359.74, - 4680.8, - 8335.02, - 12410.78 + 0, + 0, + 0, + 0, + 1461.81, + 2559.11, + 2950.13 ] }, { @@ -398,40 +405,18 @@ "2021" ], "y": [ - 34.73, - 249.92, - 2752.83, - 3956.06, - 8587.18, - 7415.69, - 10085.51 - ] - }, - { - "mode": "scatter", - "name": "Fit2Cloud", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ 0, - 390.33, - 1180.41, - 2069.57, - 3341.57, - 5994.84, - 8974.93 + 0, + 111.26, + 226.49, + 2496.33, + 2339.27, + 2114.68 ] }, { "mode": "scatter", - "name": "Zilliz", + "name": "Ant group", "x": [ "2015", "2016", @@ -446,14 +431,14 @@ 0, 0, 0, - 1012.24, - 4057.63, - 8600.74 + 122.82, + 459.27, + 953.16 ] }, { "mode": "scatter", - "name": "Jina AI", + "name": "Tencent", "x": [ "2015", "2016", @@ -467,15 +452,15 @@ 0, 0, 0, - 0, - 0, - 3206.07, - 8589.14 + 363.94, + 700.4, + 1283.41, + 746.34 ] }, { "mode": "scatter", - "name": "Vesoft", + "name": "WeBank", "x": [ "2015", "2016", @@ -490,14 +475,14 @@ 0, 0, 0, - 2315.81, - 5379.38, - 7963.58 + 288.64, + 564.2, + 675.9 ] }, { "mode": "scatter", - "name": "EMQ", + "name": "Kyligence", "x": [ "2015", "2016", @@ -508,18 +493,18 @@ "2021" ], "y": [ - 0, - 0, - 60.68, - 1577.43, - 5899.19, - 6261.47, - 7450.9 + 43.11, + 55.77, + 85.39, + 620.66, + 1148.72, + 864.32, + 516.98 ] }, { "mode": "scatter", - "name": "StreamNative", + "name": "Netease", "x": [ "2015", "2016", @@ -531,39 +516,17 @@ ], "y": [ 0, - 254.17, - 1176.6, - 2369.57, - 4058.42, - 5059.34, - 6828.53 - ] - }, - { - "mode": "scatter", - "name": "JD", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ 0, - 8.36, - 15.45, - 3965.66, - 9402.77, - 8089.63, - 6461.37 + 0, + 0, + 0, + 0, + 325.62 ] }, { "mode": "scatter", - "name": "Oneflow", + "name": "QingCloud", "x": [ "2015", "2016", @@ -578,14 +541,14 @@ 0, 0, 0, - 14.23, - 1624.35, - 6140.93 + 75.85, + 172.62, + 195.75 ] }, { "mode": "scatter", - "name": "ByteDance", + "name": "Oushu", "x": [ "2015", "2016", @@ -596,18 +559,18 @@ "2021" ], "y": [ - 0, - 100.03, - 0, - 186.18, - 892.64, - 2493.16, - 5968.93 + 343.85, + 1544.13, + 777.08, + 390.24, + 129.33, + 27.5, + 38.01 ] }, { "mode": "scatter", - "name": "SphereEx", + "name": "Xiaomi", "x": [ "2015", "2016", @@ -619,17 +582,17 @@ ], "y": [ 0, - 325.31, - 572.5, - 1516.7, - 3108.55, - 4789.24, - 4953.53 + 0, + 34.99, + 286.33, + 436, + 351.66, + 0 ] }, { "mode": "scatter", - "name": "Youzan", + "name": "Baidu", "x": [ "2015", "2016", @@ -640,40 +603,79 @@ "2021" ], "y": [ - 10.68, - 112.98, - 1876.29, - 4404.27, - 7192.28, - 6688.24, - 4279.1 + 2145.89, + 4126.93, + 5168.66, + 1404.58, + 393.69, + 407.87, + 0 ] + } + ], + "layout": { + "autosize": true, + "title": { + "text": "Activity for companies from 2015 to 2021" }, - { - "mode": "scatter", - "name": "API7", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" + "xaxis": { + "autorange": true, + "range": [ + -0.35805398991397214, + 6.358053989913972 ], - "y": [ - 0, - 0, - 0, - 0, - 846.54, - 2957.59, - 4106.58 - ] + "type": "category" }, + "yaxis": { + "autorange": true, + "range": [ + -534.8843689320388, + 7016.424368932039 + ], + "type": "linear" + } + } + }, + "image/png": 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" + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", + "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", + "openDigger.index.activity.getRepoActivity({labelIntersect: ['Company', ':regions/CN'], startYear, startMonth, endYear, endMonth, groupBy: 'Company', groupTimeRange: 'year', limit: -1, order: 'DESC' }).then(data => {\n", + " openDigger.render.plotly(data.map(row => {\n", + " return { x, y: row.activity, mode: 'scatter', name: row.name };\n", + " }), {title: `Activity for companies from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", + "});" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- getUserActivity\n", + "\n", + "This function will return the user activity with the config param.\n", + "\n", + "Here is an example of k8s-ci-robot and vscode-triage-bot by year from 2015 to 2021." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ { "mode": "scatter", - "name": "TAOS Data", + "name": "vscode-triage-bot", "x": [ "2015", "2016", @@ -688,14 +690,14 @@ 0, 0, 0, - 1445.94, - 3171.16, - 3993.09 + 0, + 1739.5, + 2127.87 ] }, { "mode": "scatter", - "name": "Didi", + "name": "k8s-ci-robot", "x": [ "2015", "2016", @@ -707,39 +709,76 @@ ], "y": [ 0, - 0, - 480.08, - 1361.21, - 4368.47, - 3871.65, - 3615.89 + 484.37, + 2692, + 7641.83, + 13640.09, + 15343.05, + 13860.95 ] + } + ], + "layout": { + "autosize": true, + "title": { + "text": "Activity for users from 2015 to 2021" }, - { - "mode": "scatter", - "name": "VMWare", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" + "xaxis": { + "autorange": true, + "range": [ + -0.3623997209626788, + 6.362399720962679 ], - "y": [ - 0, - 1439.96, - 2412.12, - 2948.9, - 4780.38, - 5358.52, - 3612.97 - ] + "type": "category" }, + "yaxis": { + "autorange": true, + "range": [ + -1266.1740291262136, + 16609.224029126213 + ], + "type": "linear" + } + } + }, + "image/png": 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" + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", + "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", + "openDigger.index.activity.getUserActivity({idOrNames: [{ platform: 'GitHub', userLogins: ['k8s-ci-robot', 'vscode-triage-bot'] }], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year'}).then(data => {\n", + " openDigger.render.plotly(data.map(row => {\n", + " return { x, y: row.activity, mode: 'scatter', name: row.name };\n", + " }), {title: `Activity for users from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", + "});" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Attention\n", + "\n", + "Attention index is developed by X-lab team. Attention index uses `WatchEvent` and `ForkEvent` in GitHub event log which can be used to reflect the attention a repo get in a period of time but without any actual contributions to the repo." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ { "mode": "scatter", - "name": "Alluxio", + "name": "Apache Software Foundation", "x": [ "2015", "2016", @@ -750,18 +789,18 @@ "2021" ], "y": [ - 0, - 3595.87, - 4207.41, - 3072.07, - 3922.38, - 3101.85, - 3345.89 + "854", + "2448", + "9262", + "38591", + "74560", + "68770", + "61290" ] }, { "mode": "scatter", - "name": "Yunion", + "name": "Linux Foundation", "x": [ "2015", "2016", @@ -772,18 +811,18 @@ "2021" ], "y": [ - 0, - 0, - 0, - 29.04, - 2843.08, - 3785.08, - 3251.83 + "0", + "0", + "549", + "5183", + "8002", + "8651", + "5740" ] }, { "mode": "scatter", - "name": "Timecho", + "name": "CNCF", "x": [ "2015", "2016", @@ -794,172 +833,90 @@ "2021" ], "y": [ - 0, - 0, - 0, - 0, - 1461.31, - 2557.97, - 2951.34 - ] - }, - { - "mode": "scatter", - "name": "WeBank", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 0, - 0, - 107.45, - 3377.16, - 4983.54, - 2942.06 - ] - }, - { - "mode": "scatter", - "name": "Taichi", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 0, - 0, - 0, - 0, - 2381.85, - 2591.56 - ] - }, - { - "mode": "scatter", - "name": "Juejin", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 233.75, - 3909.25, - 6297.5, - 6728.34, - 4617.69, - 2692.48, - 2518.01 - ] - }, - { - "mode": "scatter", - "name": "RT-Thread", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 397.28, - 247.58, - 763.84, - 1954.74, - 2619.96, - 2540.34, - 2462.54 - ] - }, - { - "mode": "scatter", - "name": "DCloud", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 288.24, - 275.27, - 337.97, - 517.02, - 2618.18, - 2947.54, - 2342.46 + "0", + "4312", + "4939", + "8307", + "38718", + "33116", + "34317" ] + } + ], + "layout": { + "autosize": true, + "title": { + "text": "Attention for Chinese foundation repos 2015 - 2021" }, - { - "mode": "scatter", - "name": "Deepin", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" + "xaxis": { + "autorange": true, + "range": [ + -0.3645209580838324, + 6.3645209580838324 ], - "y": [ - 133.1, - 943.06, - 2002.97, - 2598.56, - 5462.41, - 2847.51, - 2303.53 - ] + "type": "category" }, - { - "mode": "scatter", - "name": "StarRocks", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" + "yaxis": { + "autorange": true, + "range": [ + -6153.009708737864, + 80713.00970873787 ], - "y": [ - 0, - 0, - 0, - 0, - 0, - 0, - 2073.2 - ] - }, + "type": "linear" + } + } + }, + "image/png": 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" + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", + "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", + "openDigger.index.attention.getAttention({labelIntersect: ['Foundation', ':regions/CN'], startYear, startMonth, endYear, endMonth, groupBy: 'Foundation', groupTimeRange: 'year', limit: -1 }).then(data => {\n", + " openDigger.render.plotly(data.map(row => {\n", + " return { x, y: row.attention, mode: 'scatter', name: row.name };\n", + " }), {title: `Attention for Chinese foundation repos ${startYear} - ${endYear}`, xaxis: {type: 'category'}});\n", + "});" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### OpenRank\n", + "\n", + "OpenRank is an index introduced by X-lab, OpenRank uses activity index as foundamental data to generate a global developement network with developers and repos as node and activity relation as edges.\n", + "\n", + "And then use a PageRank-like algorithm with heterogeneous information networks support called HINRank to rank all the developers and repos together to find out which is more important in the open source world." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- getRepoOpenrank\n", + "\n", + "This function will return repo OpenRank with the config param.\n", + "\n", + "Here is an example of all Chinese projects under foundation group by Foundation and by year from 2015 to 2021." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ { "mode": "scatter", - "name": "Xiaomi", + "name": "OpenJS Foundation", "x": [ "2015", "2016", @@ -970,18 +927,18 @@ "2021" ], "y": [ - 525.26, - 646.96, - 1019.14, - 2654.86, - 3493.44, - 3145.87, - 1973.29 + 17689.54, + 39018.28, + 49943.85, + 54466.75, + 52157.36, + 48176.91, + 36613.59 ] }, { "mode": "scatter", - "name": "OpenResty", + "name": "Apache Software Foundation", "x": [ "2015", "2016", @@ -992,18 +949,18 @@ "2021" ], "y": [ - 1501.07, - 3520.56, - 3301.53, - 2188.32, - 2216.56, - 2490.4, - 1851.41 + 13960.42, + 33458.65, + 53515.28, + 77998.46, + 101162.53, + 120268.88, + 134510.21 ] }, { "mode": "scatter", - "name": "Netease", + "name": "Linux Foundation", "x": [ "2015", "2016", @@ -1014,18 +971,18 @@ "2021" ], "y": [ - 678.91, - 578.29, - 735.64, - 2148.11, - 3275.14, - 2228.67, - 1697.12 + 3.52, + 265.33, + 1831.34, + 5864.28, + 9861.94, + 13778.51, + 14496.82 ] }, { "mode": "scatter", - "name": "Guojusoft", + "name": "CNCF", "x": [ "2015", "2016", @@ -1037,2969 +994,80 @@ ], "y": [ 0, - 0, - 0, - 0, - 0, - 0, - 1564.95 - ] - }, - { - "mode": "scatter", - "name": "Linux China", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 1424.97, - 1380.87, - 1886.18, - 2663.55, - 2164.15, - 1683.9, - 1502.61 + 769, + 1734.8, + 2956.48, + 7437.44, + 11007.38, + 12601.3 ] + } + ], + "layout": { + "autosize": true, + "title": { + "text": "OpenRank for foundations from 2015 to 2021" }, - { - "mode": "scatter", - "name": "JuiceData", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" + "xaxis": { + "autorange": true, + "range": [ + -0.3645209580838324, + 6.3645209580838324 ], - "y": [ - 0, - 0, - 0, - 20.28, - 62.68, - 157.76, - 1306.83 - ] + "type": "category" }, - { - "mode": "scatter", - "name": "CTrip", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" + "yaxis": { + "autorange": true, + "range": [ + -11100.35713592233, + 145610.56713592232 ], - "y": [ - 493.67, - 696.68, - 836.9, - 2044.55, - 2800.65, - 1764.81, - 1294.21 - ] - }, - { - "mode": "scatter", - "name": "Megvii", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 0, - 0, - 0, - 0, - 670.65, - 1124.34 - ] - }, - { - "mode": "scatter", - "name": 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" - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.index.activity.getRepoActivity({labelIntersect: ['Company', ':regions/China'], startYear, startMonth, endYear, endMonth, groupBy: 'Company', groupTimeRange: 'year', limit: -1, order: 'DESC' }).then(data => {\n", - " openDigger.render.plotly(data.map(row => {\n", - " return { x, y: row.activity, mode: 'scatter', name: row.name };\n", - " }), {title: `Activity for companies from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- getUserActivity\n", - "\n", - "This function will return the user activity with the config param.\n", - "\n", - "Here is an example of k8s-ci-robot and vscode-triage-bot by year from 2015 to 2021." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "mode": "scatter", - "name": "k8s-ci-robot", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 462.4, - 2656.12, - 7581.58, - 13541.03, - 15155.26, - 13665.31 - ] - }, - { - "mode": "scatter", - "name": "vscode-triage-bot", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 0, - 0, - 0, - 0, - 1722.75, - 2092.71 - ] - } - ], - "layout": { - "autosize": true, - "title": { - "text": "Activity for users from 2015 to 2021" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.3584110743304243, - 6.358411074330425 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - -1250.6767961165049, - 16405.936796116504 - ], - "type": "linear" - } - } - }, - "image/png": 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" - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.index.activity.getUserActivity({userLogins: ['k8s-ci-robot', 'vscode-triage-bot'], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year'}).then(data => {\n", - " openDigger.render.plotly(data.map(row => {\n", - " return { x, y: row.activity, mode: 'scatter', name: row.name };\n", - " }), {title: `Activity for users from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Attention\n", - "\n", - "Attention index is developed by X-lab team. Attention index uses `WatchEvent` and `ForkEvent` in GitHub event log which can be used to reflect the attention a repo get in a period of time but without any actual contributions to the repo." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "mode": "scatter", - "name": "Linux Foundation", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "0", - "0", - "5075", - "6367", - "13221", - "13277", - "11523" - ] - }, - { - "mode": "scatter", - "name": "Apache Software Foundation", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "2775", - "5297", - "14225", - "54398", - "111436", - "98232", - "88912" - ] - }, - { - "mode": "scatter", - "name": "CNCF", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "0", - "4310", - "4934", - "8305", - "38626", - "33111", - "34313" - ] - } - ], - "layout": { - "autosize": true, - "title": { - "text": "Attention for Chinese foundation repos 2015 - 2021" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.3577283372365339, - 6.357728337236534 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - -9196.174757281553, - 120632.17475728155 - ], - "type": "linear" - } - } - }, - "image/png": 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" - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.index.attention.getAttention({labelIntersect: ['Foundation', ':regions/China'], startYear, startMonth, endYear, endMonth, groupBy: 'Foundation', groupTimeRange: 'year', limit: -1 }).then(data => {\n", - " openDigger.render.plotly(data.map(row => {\n", - " return { x, y: row.attention, mode: 'scatter', name: row.name };\n", - " }), {title: `Attention for Chinese foundation repos ${startYear} - ${endYear}`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### OpenRank\n", - "\n", - "OpenRank is an index introduced by X-lab, OpenRank uses activity index as foundamental data to generate a global developement network with developers and repos as node and activity relation as edges.\n", - "\n", - "And then use a PageRank-like algorithm with heterogeneous information networks support called HINRank to rank all the developers and repos together to find out which is more important in the open source world." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- getRepoOpenrank\n", - "\n", - "This function will return repo OpenRank with the config param.\n", - "\n", - "Here is an example of all Chinese projects under foundation group by Foundation and by year from 2015 to 2021." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "mode": "scatter", - "name": "Apache Software Foundation", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 1653.18, - 3623.56, - 6342.32, - 11059.17, - 17085.03, - 21100.97, - 25456.36 - ] - }, - { - "mode": "scatter", - "name": "CNCF", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 577.4, - 1232.97, - 1901.34, - 4647.75, - 6795.51, - 7786.3 - ] - }, - { - "mode": "scatter", - "name": "Linux Foundation", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 12.88, - 228.2, - 1159.65, - 2093.43, - 2973.37, - 3177.85 - ] - } - ], - "layout": { - "autosize": true, - "title": { - "text": "OpenRank for foundations from 2015 to 2021" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.3599744245524296, - 6.35997442455243 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - -2100.767572815534, - 27557.127572815534 - ], - "type": "linear" - } - } - }, - "image/png": 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lHfRlgd5/+syVSJ6ZNa1xZKdEdNmUq+n9pPfVdttt575IydbaYllMrLkHAhCAAAQgAIHKEUCYrRx7RoYABCAAAQgUTUAZiXq8vb0DliRsShTzhANP3JFwIpHRezRXgqSEDU98ktCkrFQJVMqMU4acmrJXVXYgVfDxRC+JZbJJmaS6X1mYGjs1QyybMCsxS3ZKSFLmpfc4tUQynfruCcUaX6fGH3HEEU4klNis5omdEiyVwSZhRIKO93h1anZfpjArsVKipcScO++8s91DgyTOSlg56KCDXIaw1zwxRY8fS7jS+LJf10gE8hikisjiJRFU9klQGzlyZM75IBFMovQLL7zg6suqLVu2zJQRqHGUMetlaf7jH/9wmb2pfhcjzEp0UqwlWkmYla3irqxVPYo9ffp0J0ZL7BI7L4tV/qrWaurczDeWbdWYzRRmC/E/3znqzQdljkvM85qyVZU93l6dUwlmmY/jtxXzIUOG5B1D772rmqWaY16dXWV4a17rPSkRXxmyEg31XtN81WFbub5saOsDyOO91157JbPI9eXBr371K/dYvmKf2lQbWPHTfamP/HvX5CPMZtqjrFZ9jqRmSOeyOVcpA32ZpD7EQO8TL5tWmej6DFEWs7LqC22eSJ0qNiubXmLwRhtt5J4ASG2qfysbjz32WPcZlq0pbnrv6HMv9cuvzGsRZguNFtdDAAIQgAAEgksAYTa4scEyCEAAAhCAQE4CEuhuuukmV59Qj63nanr0/N1333UlAZR56Ik72vxLePWaRC4JcRIoJSB4AqSERok9qU33Tps2zWV4SpTzRK/UDE1dL0FIJRQkEOnxXjVPmJUoqUeIlYnoZeFm2uSN6WWBSvTQ9crAlWCsn8qq84QvPWYuscVrEjmUmSafVDJALVWYlegjIVnCo4RFrzRBW9MulzCrx7Ql3KUKy+rHE4e9Eg2erdkeBW9r3GzCrOKq+OpRbYk4qU0HZylG8ltZgYUKsxJiPeHb61eCdKrQ58V3jz32cFnDXmurxmx7sSxEmC3E/3znqBcvZSRLmPWyovP9KGpLmM0W80J8yPXe9WpNq9zDIYcckjRV9UuVAZ/6/svXD4+D3t8PPfSQy0BX8w7+Ov744+373/9+WnfK7lRpDO+zJnOs9oRZvf8lwIq5vqjQY//KRtX7U9mn7R0KmEuY9b50koAtkdlr3nsxVxZvW6xmzpzpBNTMA8/Gjx/vvozJ/CxSX3qqQPNQMVKssjXPB2WfS0TOlTGMMJvvTOY6CEAAAhCAQPAJIMwGP0ZYCAEIQAACEGhFwCsz0Nbj1brJEwwlTigjM5e4o2uVOSbhU49WS3TVI+NtNe/Am1yil2qPqo/UUgKeMJvZrx4DV6ZZalMpBmXrSijO1pTh26dPn5zCrO5RZqv68Q4v8oRZZbRJEFYGaOpBZO1NtVzCrB5ZV1+Z5Qg8kVJCtFjkEpHbGzebMJtLkFNfKgmg+sGqD6yar6UQZr0+vLh7Y6SWQdDY2YTZfGNZiDBbiP/5zlFleisr1isxITFVj75LTMv2eH5m3NoSZrOJdYX4kOu9q4O7JIYq61PvYa95JRL0GfDd7363vSmWfN2b4/qFav6OHj06+Zpnr7JllTWb2pSBL0E3tdRE6uuFiomKhcqVqMZxW1mm3hi5hFnPLpUHkOCZ2sRFIrDq9ebbVDNXmeT6cigzc9jLIvfe76l9enW0s7HTdY899pj7LNIXSfrpieHZ7CqUZb6+cR0EIAABCEAAAv4TQJj1nzkjQgACEIAABDpMwBMA2jvFXIKhHiP3HoHPV5iV6Kmar8qy1Z9sTYf9qJZjLtHLyxDLJsx6YqgOKrriiitc3VRl96UeFOY9Sq1HtyXaqqSBstskFinTsCPCbKo/eszZO129vcDkEmaVEavswtTT69WXSi9I1POyJUspzGary+vZL0YSm375y1+aDs/KFFW963LVmM2WMavaspo/njCrbGOV1NA8ST1oLJswm28sCxFmC/G/kDkqoU7Ziv/617/ce8drEglV27itVqgwW4gPud67EuAlkmcKs55gW4gwqy8ulP2sLxn0vtx+++3T3PXer9myPr2MatVSHTRoUCtMxYiJ3nxQ5r7mcFstlzDrPTWg7H19Xqa21C+j8qlnq7Ir+pJEX2BlY7B48WIn7OtLMH0Zltq8bGM94aAnHbK9JlFWn4PtZe8Xw7K9zzZehwAEIAABCECgMgQQZivDnVEhAAEIQAACHSKgDERt7iWg5Krp6IkoqY/q5hJ3VqxY4Wqz6jFiiUXeo8zZDvnJNLwQ0StbjVkJfRJzJEpIPFEWrJrqp6aWLPDG1WP7b731VoeEWWU/SoDS481i2FY9x1R/cwmzEo5VakFZwjU1NclbdACYhOlddtnFVIOzlMKsVw9VorLE5dTmiWTeQUw/+9nPnNCYmTXYEWHWi3vmo+vZhNl8Y+kJcdnqfmbWmC3E/0LmaCpHCXGKqco26GAqHZ7WVitUmC3Eh3ILs54t8i9XOQLvUX1lEYtpavO+BPJKnGRyKkZM9Oq46mA67yDCXPw9YTa1prWuVQavYqi6y6p77DXvMzS11ElbsVXdV4myqoWdLcPfu9cr26IvplLFXu8QP4noKqPiNX0JoLIs+gJKPuSbmV1MCYYO/afDzRCAAAQgAAEIlIUAwmxZsNIpBCAAAQhAoPwEPFFNJ4BLJEmtwaiMWgmCyv7To7w777yzMyiXuOPVC/UO+lFGmMQxZbJKOE3NgFPt1ldeecVUW1StENErmzCrPrzHjVVjUkKFDriSwCHR9Omnn04e2CN/VMNRImhHMma9bLfUx7YzBZ1sEcwlzCozVYdi6RFniZBekxikw7i8rOFSCrOeAKoanDp8zBOEvQOI9Hs9Pi1xSFl4qjmamq2nbFBlRaqWZ2o5Ah3ylU/GrPdYe2Y2o3f4WOrhX/nG8pNPPrEzzjgjKWSnxiBTmC3E/3znqA75qq2tTR52p/H1SL3qL2sutvfIe6HCbCE+lFOY9Q6mUta33gd6FD9b03v/4IMPNtUKVu1ZT0T0SoRkE2y9ftoSZsVdfaWKkqkHmOk9r7IkbTV9uaPPKn0podrSXvMyijMPdNP7Ve/b9srBqB+VU1DmrUpcpD4BkM0eLzs99XM39dBCicSdO3d280kireKqz3DVDPe+lGrvf49iRO72+uR1CEAAAhCAAAQqQwBhtjLcGRUCEIAABCDQYQISjE488UR3grcEld133909AjtlyhRXX1Qbf9WH1GPtXvPEHe96CSHK6lTNWomwetzWEweUHSjxRb9XNq3Egy+++MJl00q49USqfEUv2ZBLmJXgIVFTB1Z94xvfMGV4etdq3B133NHVLlXWp1f/sxTCrGzymMhPZazp4KdcLZcwKyHTOwxJWcbqQ9mfykJUJpzqR6r/UgqzstHLBlQ2p+plKvNZcZPomipQeTWJZYOX2aiDmrxH9YsRZnVgnLJ1FY8tt9zSlZoYO3asffrppw5fqjCbbyz1KLj61NyVANijRw8nYumgukxhthD/852j3pcdKt+h945EWmWeS3jMJ3u8UGG2EB/KJcwqc9Qr0aAarPpyJLOppIH3RYz3uaAvgjSXFH9lfOpnZvkDcZPoqibRVJ873qGD+rJoxIgR7jUvtmI+atQod51KMeizTe8ffXGkL2vaavqCQVnw+kJC7wXZI4FZtivDVV9YKK4aV/3qywy1bCUOMsfRZ5M++5Rdm620y5AhQ1wpCTXvM0LvNc1lHb6nLGKNnzqHPHt1jzJoZXdmO+KII5KfR/my7PB/LHQAAQhAAAIQgICvBBBmfcXNYBCAAAQgAIHSEpCAJWFB2ZCeYKkRJGwcc8wxrg5i6uO0nrgjgUGP5HpN4qcyvVQb0WvKWNPjuHfeeWdarU0JDhJpVAZA7Ve/+pUTHpSVKXHOa16N2TPPPNNlHKrpHgkM999/fysBSI+Ny2b5oZ8SuZThOWvWrGSfEm50+M6kSZOcsCLRpi2xUwKNGHkHiL3//vvuQCFltUps8VpqxmDqKfSZ0ZLIJJuylQ/QY97KkpNo7TXVlpXIrMeO1ToqzIqphEqvSZxXhnHqAWmKj0obSARKbZ446f1OIpxq+koAS83uy5Uxe9VVV5nEXK/GrPqRqK9MQk/g1dgSVCXUbbfddqZ71BTDfGKpa/WlgsaQSK/mfblw6623ugzg1NId+fqf7xyVqHbDDTckx/ZYKSv4wgsvTCtTke2drDkrYVPz22vtxTxfH7zSJMcff3zySwCN4WUon3zyye797jWvxuxpp53mYpKr6X2uTPm2mt6/eh97zXv83vu34q74Ztbg9WKWrW+JqJ7YK1sV19TPJN2jA9NUyzifx/t1vbgrk9vrx6u7q5Ioeh8qvl7TZ6DqJivLt73mCbO5rsssc6FYae7rs8dryuIVI+/zWPWZ5VtbTZ/Jmntq+bJszxdehwAEIAABCEAgWAQQZoMVD6yBAAQgAAEIFE1AGaUzZ850WbO5HolNzbqTaKnrJW4qM7Gtpkdxda2y5HRaeD4H5RTtSMqNEo0mT55syqSUX7I16E0Cs4RICXTKlvOjKVNWnCTaKguxqqoq67ASjb/66iuX/Vwqll6M9FOHgOUau9BYiqHukSjX3nzL1/98YyGhWZzUlA2ZLZsx377yva7UPuQ7brHXSVBOnXPtxSifcTQ/FXfNIb1/iuGuOaOMWAmvqeVdNL5Ecj1RoM+wbAeU5WNjvtfIDn25oM8ufQnSXsZvvv1yHQQgAAEIQAAC0SKAMButeOINBCAAAQhAoE0CuR6HBhsEIAABCEAAAhCAAAQgAAEI+EsAYdZf3owGAQhAAAIQqCgBhNmK4mdwCEAAAhCAAAQgAAEIQAACSQIIs0wGCEAAAhCAQIwI6AAa1T9U3c62DrmKERJchQAEIAABCEAAAhCAAAQgUBECCLMVwc6gEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJwJIMzGOfr4DgEIQAACEIAABCAAAQhAAAIQgAAEIAABCFSEAMJsRbAzKAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBnAgizcY4+vkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVIYAwWxHsDAoBCEAAAhCAAAQgAAEIQAACEIAABCAAAQjEmQDCbJyjj+8QgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQggzFYEO4NCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACcSaAMBvn6OM7BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUBECCLMVwc6gEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJwJIMzGOfr4DgEIQAACEIAABCAAAQhAAAIQgAAEIAABCFSEAMJsRbAzKAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBnAgizcY4+vkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVIYAwWxHsDAoBCEAAAhCAAAQgAAEIQAACEIAABCAAAQjEmQDCbJyjj+8QgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQggzFYEO4NCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACcSaAMBvn6OM7BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUBECCLMVwc6gEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJwJIMzGOfr4DgEIQAACEIAABCAAAQhAAAIQgAAEIAABCFSEAMJsRbAzKAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBnAgizcY4+vkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVIYAwWxHsDAoBCEAAAhCAAAQgAAEIQAACEIAABCAAAQjEmQDCbJyjj+8QgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQggzFYEO4NCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACcSaAMBvn6OM7BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUBFCgZTiAAAgAElEQVQCCLMVwc6gEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJwJIMzGOfr4DgEIQAACEIAABCAAAQhAAAIQgAAEIAABCFSEAMJsRbAzKAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBnAgizcY4+vkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVIYAwWxHsDAoBCEAAAhCAAAQgAAEIQAACEIAABCAAAQjEmQDCbJyjj+8QgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQggzFYEO4NCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACcSaAMBvn6OM7BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUBECCLMVwc6gEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJwJIMzGOfr4DgEIQAACEIAABCAAAQhAAAIQgAAEIAABCFSEAMJsRbAzKAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBnAgizcY4+vkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVIYAwWxHsDAoBCEAAAhCAAAQgAAEIQAACEIAABCAAAQjEmQDCbJyjj+8QgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQggzFYEO4NCAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACcSaAMBvn6OM7BCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUBECCLMVwc6gEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAQJwJIMzGOfr4DgEIQAACEIAABCAAAQhAAAIQgAAEIAABCFSEAMJsRbAzKAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIBBnAgizcY4+vkMAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIVIYAwWxHsDAoBCEAAAhCAAAQgAAEIQAACEIAABCAAAQjEmQDCbJyjj+8QgAAEIAABCEAAAhCAAAQgAAEIQAACEIBARQggzFYEezgGXblypTU1NVnPnj3DYTBWhp7AwoULrb6+3qqrq0PvCw4En8CyZctMn3N1dXXBNxYLI0Fg/vz51qdPn0j4ghPBJ7B48WL3/2lNTU3wjcXC0BNg3xD6EIbOAfYNoQsZBkMAAjkIIMwyNXISYIHF5PCbAAssv4nHezyE2XjHvxLeI8xWgnp8x0SYjW/sK+E5+4ZKUI/3mOwb4h1/vIdAlAggzEYpmiX2hQVWiYHSXbsEWGC1i4gLSkgAYbaEMOkqLwIIs3lh4qISEUCYLRFIusmLAPuGvDBxUQkJsG8oIUy6ggAEKkoAYbai+IM9OAusYMcnitaxwIpiVIPrE8JscGMTVcsQZqMa2WD6hTAbzLhE1Sr2DVGNbHD9Yt8Q3NhgGQQgUBgBhNnCeMXqahZYsQp3IJxlgRWIMMTGCITZ2IQ6MI4izAYmFLEwBGE2FmEOjJPsGwITitgYwr4hNqHGUQhEngDCbORDXLyDLLCKZ8edxRFggVUcN+4qjgDCbHHcuKt4AgizxbPjzsIJIMwWzow7iifAvqF4dtxZHAH2DcVx4y4IQCB4BBBmgxeTwFjEAiswoYiNISywYhPqQDiKMBuIMMTKCITZWIW74s4izFY8BLEygH1DrMIdCGfZNwQiDBgBAQiUgADCbAkgRrULFlhRjWxw/WKBFdzYRNEyhNkoRjXYPiHMBjs+UbMOYTZqEQ22P+wbgh2fKFrHviGKUcUnCMSTAMJsPOOel9cssPLCxEUlJMACq4Qw6apdAgiz7SLighITQJgtMVC6a5MAwiwTxE8C7Bv8pM1YIsC+gXkAAQhEhQDCbFQiWQY/WGCVASpdtkmABRYTxE8CCLN+0mYsEUCYZR74SQBh1k/ajMW+gTngJ4HpC5bYuKlzrH+v7rb58D5+Ds1YESXw3//+1/r27Wvrr79+yTxcvny5LViwwPXbuXPnvPttbm62//znPzZnzhzba6+9rK6uLu9743ahOA0aNMjWWWedgl0XZ/2pra0t+N5S34AwW2qiEeqPBVaEghkSVxBmQxKoiJiJMBuRQIbIDYTZEAUrAqYizEYgiCFygX1DiIIVclN/8eI4u+PVz5NebDm8t91/zLbWt75ryD3D/FQCq1atsm9/+9smcfPhhx+2wYMHlxXQaaedZltuuaWddNJJHR7nvffeczaPHTs22ddaa61lV199tQ0dOrTN/iUUfuc737Gamhrn8zHHHGO/+93v7Prrr7fq6uoO21bKDg444ABbsmRJWpcDBw509vrVjj32WNtjjz3syCOPbHPIL7/80m666aY0jrfccov9+9//tscff9wvc3OOgzBb8RAE1wAWWMGNTVQtQ5iNamSD6RfCbDDjEmWrEGajHN3g+YYwG7yYRNki9g1Rjm5wfJs4u9F2v+HVVgadtut6dv4+o4JjaAwseWPiXHt3ygJbvXq1bTG8t+24fv+Sev3mm2/aJZdcYl27drVDDjnEJMCVs5VKmJVQefDBB9sWW2xh6rNfv342YcIEJ9Qed9xxtskmm7TphjJ3f/rTn9oLL7xgVVVV9vHHH9uZZ57p/t2lS5dyIii4bwmz+++/v+25557JeyUotyc+FzxQGzfkK8xm4zhz5kxbtGhRSbOki/UNYbZYcjG4jwVWDIIcMBcRZgMWkIibgzAb8QAH0D2E2QAGJcImIcxGOLgBdI19QwCDEhGTxs1YZB9MXWBjpzbYvyfMsS/mNLXy7JsbD7J7j94mIh4H3417/jnRrn7hkzRDz9lrIzt999KVAZA4qWzZESNG2KuvvpqW1XjNNde4sSdPnmyff/65DRs2zH72s5+5a7XWOuOMM2z27NnuGomE559/vo0alRDup0+fbjfccIONGzfOZaBut912dvHFFzsRtUePHk6omzhxom2++eZ2+umn2/Dhw919Ekxvvvlmmzt3rm211VZ2+OGH22abbdYqWLr35JNPdpmZysDN1hoaGuy6666zd955xwnPe++9t51yyikmoVA/Je4q83SjjTZydsqXAQMGWKdOneycc86xX//61862rbfe2r744gsnYN9+++3Wq1cve/HFF10WqLJzH3zwQXvqqadcfxrnW9/6lv3oRz9y/Tz33HP2/vvvOx/+/Oc/27rrrmvnnXeePfbYY/bkk0/a0qVLXSbqEUcckTNbWcKsxOaDDjoozU1lO99zzz32/PPPuxiKw09+8hPr3bu3ffDBB3bjjTfab37zm+Q9p556qutn2223dXb961//sp49e9prr71mQ4YMcTy//vWvu+unTJliP//5z13cdU1TU5PLltUfxUjcFUM1xVCxFRf5kcpRvk6dOtX+97//OSFc7ZVXXrE77rjDlZ9QhvOFF15oG264oXvtqKOOsh133NHNxXnz5tk3v/lNx7Jbt24lecMizJYEYzQ7YYEVzbgG2SuE2SBHJ3q2IcxGL6ZB9whhNugRipZ9CLPRimfQvWHfEPQIBd++CbMabey0hqQI++G0BlvWvCovww/acpj96vvZRbC8Ooj5Rb96+bOCCNz/7y9s4dIVaffUda22k3Zer6B+xuy2vnWu7tTqHi/r9KKLLnICmYS52267LSmSSUSVKCsxTmLf/fff716TGCnR8+mnn3biqcRICYAS4B555BFbsWKFff/733dCnUoESEB84IEH3B/1KVH1Bz/4gW2wwQamx9zVh4RQiYHHH3+8HXbYYbbzzjvbX/7yF/vrX/9qzz77rBM5U5syiJUxq+xWiYGbbrqpEz1TyxBIKJagqjEl9N57773Ol+9+97tOdH3jjTdMvksoVqbnnXfeaVdccYWrUyux9txzz7XRo0e7+3WvHsWXUCuhVCKt7rvgggucnbpH4rIe5b/22mudULnrrrs6Zo8++qgTXXfZZZek+Hrrrbe6vkaOHGl33323Ez+vvPLKrHHVeLJHPnpNv3vppZccd2Wzqv+77rrLCcsStlUT9tJLL3X8vLbffvs5n3bbbbekXaqtu9NOO7lMYWUcK34q86AYyD/FT4x/8Ytf2Pe+9z3HT6KvrpUIrzkkAV+CrmIogTqT4x/+8AcnYktE/uyzzxzPfffd18VY5Rg+/fRTe+KJJ1yNX2UFa65pXP1b40q4FbtSNITZUlCMaB8ssCIa2AC7hTAb4OBE0DSE2QgGNeAuIcwGPEARMw9hNmIBDbg77BsCHqAAmTdpbpPLfv1gaoONnbbAPpy20JqWNWe1cECPGhvZr97W6V9vI/vXub9f+aeP7auGpWnX33L4aPv2Fm3X7gwQgsCZsv7FL1jzytW+2zXh6n2zCrMS9pRV+cc//jEpcP7f//2fnXXWWc7GzLIDyhKVoPinP/3JCaUS5ZQNKvHzo48+MpVFkBD4+uuv22WXXeaEOAmPqS2zT2WNSpST6Km+//73vycFSgmEXubqxhtv3IrbpEmTnKj51ltvudckykoQlnioDNIDDzzQlSdQGQA1CYiqS6uxNKYEQ69Oa7ZH8NX322+/7caQkNynTx83hoRPZa+qb4mcahIqxUDZos8884wdeuihTlyUMCufHnrooaS4rN8r+1h9qmlsCb/imu3wMomwyhiV6Oo1CcoShddbbz27/PLL3a8VT2WyyjdlALcnzEq8lW9qXgay7pV4qv71mnfYV2YpA/mpTGRlH//jH/+w+vp6F79sHJVR7AmzYiceYq8mwVwxk/i6++67O2FWYqzEejX5qDIVEtlL0RBmS0Exon2wwIpoYAPsFsJsgIMTQdMQZiMY1IC7hDAb8ABFzDyE2YgFNODusG8IeIAqYN7U+Uts7NQF9sG0BifEfjS9wRYsTs+y9MzSwV1OfO0nAVY/61rE2HrrXpN+mv3nsxvtvn9/YeO/arDe9TW272ZD7DtbrVUBD6Mz5E0vj2/tjKfTegmhKbrtb16b1CpjtpvLmF23ICin77ZBVmFWwqIERT3arqZMSD1aL6FWdVczRdTx48e7x8p/+9vfmvaTEnBra2tdPVcJoRLqJMxKbJXQqEf3M1s2sVeZnhLq9Bi+hNPMA8hOOOEE93h7rqax9cj9yy+/7B7Rlygs4VMHjKWKw3pNpQhkVz7CrGzRo/gSV0888UTnkwRK/VslAeSnsoIl+OrxfGWQqsyDSgRIuNU1ujZVAJUPylxVFqoyQ1PbL3/5S+vfv3UN4VylDNSPxlAGsJrKRxx99NEuC1llAgoRZmfNmuWEYtXolb3Kek2NX6owq+xaHfClLOv111/fsVfNW5UnaE+YVYzVlFXsNfkncVaZz5nC7FVXXeUyeD3xuaCJn+VihNmOEozw/SywIhzcgLqGMBvQwETULITZiAY2wG4hzAY4OBE0DWE2gkENsEvsGwIcnDKbNqNhqStB4ETYqQ328VcLbfaiZVlH7VnbxdYd4ImvyoRNZMFKjO3VrbCDjdg3lDmwbXR/9z8n2s8zasz+eM8N7Yw9NuiwUVor6dF0PU6uTFA1fb4oa1OlCpQ5mymiStiU6Keapsq0lVArsVIiridiSphVRqTqk+oR/kyhsS1hVsKkSidojPaaBGSVUNDYqU1ipf5I5FPWqjI/vaxW9avsTj1unynMfvLJJ65mrvyXyKgmQVD1YiVcS4BWjVRlu0o4VtkFPfbvZXyqDIFXn1W1XHVPLmFWtqnerUTUfFouYVblBrbZZhsnHqt5mcrKAhZH+d5WKYNUwThVmFU27I9//GNXQkLlBNRShVlxVZkGifRqmgMS5SXMZuOYmjHr1fxV1rJaY2OjK0mh8cQaYTafGcE1ZSHAAqssWOm0DQIssJgefhJAmPWTNmOJAMIs88BPAgizftJmLPYN0Z8DsxuXJcoPqAzBtAX28fSFrUoKeBS6dam29Qd2d4JrIhO2riUTtt6UHVuKxr6hFBSL7+P1z+fau1Pm2+rVZlsM7207bdA6o7KY3iVMquarlx3r9SExUVmfylCUiCphVcKfMmslnA4aNMiJsnpsXUKgHk1XTVllonqlDHRok8RHCZXqQ4/n61F+Zdi2JcxK3FNGpWqvqgap6tjq8XyJj6pHm9okKqpOrLJidfiURFTVetU4yrLUYWMSUVUCQJmjWhuq7qsyb1VnNVOYVVkGCaASWLfYYgtTDVuJkrJXj/aLxw477OAO+lLGsEREiYl6fyhjVWKs6rWq9IGyQSV65xJmlSEskVuZtqobq9q8skdlG7K1XMKshGYJr7JZYrH8llAsYVb+qJSDxFn5ozIUircnVGdm8qYKsyqZIHFb4rGyaFWuQge5eYd/iatKVHh1gSXCq0auhNlsHOWbV8rAE4/FTrEQTwnAErk1LsJsMe9m7ikJARZYJcFIJwUQYIFVACwu7TABhNkOI6SDAgkgzBYIjMs7RABhtkP4uLlAAuwbCgQW4MvnL17eUv81UQf2k68W2pR5i7NarIObNhzUw9ZJliBI1IKVGNu/eyK7r1yNfUO5yFa2X2VAShTMFAMlot13331OOJSQqtqj+txRkxgnEU4Cmh6bl8Cp7Eo1PdIu8dbL0HzttddcrVAJdWp67F0HVUno1IFaKg2gpsfl9di8V3PUK4PgjSnBT6JgZq1aHbKl/nVwlNdU/1VlDw455BD3K9W+VW1SPdavpgO0JIbqUCuNo1qwXo1ZvS6hU36r6RCw7bff3gmHyvz16vBKRBU7ib3KNlbzDgbT31WeQEK1J6bKZwnW8tFrKr0gcftvf/tb8nc6OExiabaWS5jV+kNCq2rbqomVmCgWahLPJXp6vouVJ8xm2qU4SkyX6CzxXVwk5Kr17dvXxdE7/EsiqzjKDzGXKCwRW+J8No4Stj1hVq/rOrFX0/2agxJk1fRTWbWaI2oSm3V4nLKVS9EoZVAKihHtgwVWRAMbYLdYYAU4OBE0DWE2gkENuEsIswEPUMTMQ5iNWEAD7g77hoAHKIt5i5Y2t9R/TZQgGDdjkal+a6624aDutu6A7snSA+u0ZMEO6llbEefZN1QEeyAG9bJblSmpjFQJf5lNAq3ESO+R98zXlcGp0gDdu3fP2ydlq86ZM8eVKlAN17aaPhOVoauSBjokKlvTAVUqRdBeX7pXAqQEx3yuTR1Lj+TrvTJ0aP6H48l2+SmuyuwttimzWKUdJKhmNtml2GXWs81nLK1vFi1alLVf2a7YDxkyJOuBZe1xlL0Sg8VL4qxfDWHWL9IhHIcFVgiDFnKTWWCFPIAhMx9hNmQBi4C5CLMRCGKIXECYDVGwImAq+4bgBnHJipXJEgRjpy2wT2cssvEzF7lH0LM1ZbsmyxCkHMY1tHfxAk056LBvKAfVcPSZWXYgHFZjJQRyE0CYZXbkJMACi8nhNwEWWH4Tj/d4CLPxjn8lvEeYrQT1+I6JMBvf2FfCc/YNlaCePuaKlata6r8mDuIaP7PRCbDLm1dlNW6tPt0SZQhcDdiWA7n619nwPolDdYLe2DcEPULls0+Pn6vG7KhRo8o3CD1DwEcCCLM+wg7bUCywwhax8NvLAiv8MQyTBwizYYpWNGxFmI1GHMPiBcJsWCIVDTvZN/gXR2W6KvNV5Qc+mNbgxNfxMxqtaXlzViMG96x1Auy6A1rE136JA7nW7hcOATYXWfYN/s05RoIABMpLAGG2vHxD3TsLrFCHL5TGs8AKZdhCazTCbGhDF1rDEWZDG7pQGo4wG8qwhdZo9g3lCd1H0xfaB1MX2AfTF9r4lhIEDUtWZB2sX31X23Bwj0QZghbxNZEJW2dVnTqVx8AK9sq+oYLwGRoCECgpAYTZkuKMVmcssKIVzzB4wwIrDFGKjo0Is9GJZVg8QZgNS6SiYSfCbDTiGBYv2Dd0LFKq+zp2WoN95GXAzmy0OY3Lsnbas1sX00FcrgxBsgSByhHUWZfqqo4ZEqK72TeEKFiYCgEItEkAYZYJkpMACywmh98EWGD5TTze4yHMxjv+lfAeYbYS1OM7JsJsfGNfCc/ZN+RH/fPZja4O7MfKgFUJgpmL7KuGpVlvruta7cTXZBmCFhFWZQhqOsdHgM1Fln1DfnOOqyAAgeATQJgNfowqZiELrIqhj+3ALLBiG/qKOI4wWxHssR4UYTbW4ffdeYRZ35HHekD2Denhnzx3sTuA65OvFtqnLYdwfTlvcdY5oixXLwPWlSHoX5/MhJU4S8tOgH0DMwMCEIgKAYTZqESyDH6wwCoDVLpskwALLCaInwQQZv2kzVgigDDLPPCTAMKsn7QZK677hmnzl7gSBBJgvQzYibObck4ILwNWQqwyXyXCqg5sj9rOTKICCbBvKBAYl0MAAoElgDAb2NBU3rC4LrAqTz6+FrDAim/sK+E5wmwlqMd7TITZeMffb+8RZv0mHu/xor5vmLFwqX0wtcHGzZAA25g8iGt1jrCv27/elSDYYFAPW29AQoCVENurW5d4T5QSes++oYQwA9zVggULbNWqVdanTx/rVOQhds3NzTZ37lzr3bu31dTUBNhbTIsrAYTZuEY+D7+jvsDKAwGX+EyABZbPwGM+HMJszCdABdxHmK0A9BgPiTAb4+BXwPWo7Bt04JYTYFX/dUaiBqyE2BUrV2WlOrxvXVoZAu8wrr71XSsQhXgNyb4huvGWEPvYY4/Z7373O1u+fLlztLq62vbcc08755xz7Nlnn7Vbb73Vhg0bZg888EASxBFHHGGHHXaYHXjgge53kydPtmuvvdYmTJiQvGbkyJF2xhlnOJH2uOOOawVx3333tbPPPju6cPEskAQQZgMZlmAYFZUFVjBoYkU+BFhg5UOJa0pFAGG2VCTpJ18CCLP5kuK6UhBAmC0FRfrIl0DY9g0LFq+wD6YtsE9nNCZLEEiEXbx8ZVaXB/eqTR7ElSxD0K/eBvQg+y7fOVLq69g3lJpogf1N+pfZ1LfMlDY+bCuzdXctsIPcl9911132zDPP2JgxY2z33Xe3pUuX2htvvGH6/XPPPeeE2TvuuMP0uXPxxRfbrrsmxk4VZhsaGpxIu8EGG9i5555rQ4YMsUmTJtn9999vo0aNsj322MMJs5dffrkNHTo0aUyvXr2sb9++JfOFjiCQDwGE2XwoxfSasC2wYhqmSLnNAitS4Qy8MwizgQ9R5AxEmI1cSAPtEMJsoMMTOeOCum9oXNbsMmC9+q+uDMHMRdawZEXWGPTvXpPMgE0tQzC4Z23kYhZ2h9g3VDCCr99i9tIl6QbsfonZzud12CgJqocccogTTQ8//PC0/iTQ1tbWOmH28ccft2222cbefPNNl12rMgepwuzNN99sL730kj355JPWrVu3Vv3Mnj3bjSGhdvjw4R22mw4g0BECCLMdoRfxe4O6wIo49li7xwIr1uH33XmEWd+Rx35AhNnYTwFfASDM+oo79oNVet+wdMVK+3Bag33aIrx6JQjmNi7LGhvVek0cxNXd/Vx/YOIwrqG90wWc2Ac2wADYN5QwOP+4trDO/nO72dKG9Hu61pltf2Zh/ex0jll1et3ld999184//3x79NFHrX///ln784TZ2267zb73ve+58gb77LNPmjB7yimn2IgRI+yiiy7K2seXX37phNn99tvP1a9V69q1aysxuDCHuBoCxRFAmC2OWyzuqvQCKxaQcTKNAAssJoSfBBBm/aTNWCKAMMs88JMAwqyftBnLr31D88rV9uH0jAzYGYtMh3Nla3Vdq1NKECSEWAmwqg1LCzcB9g0ljN/P+putyp5FXsJRWnd16ZxWwuyLL75oN954o8t2zXXYlyfMPvLII66kwcsvv+wyaH/4wx8ma8wedNBBtv/++9sJJ5zQpjCrbNm6usTngX5ed911ZXWZziGQjQDCLPMiJwG/FliEAAIeARZYzAU/CSDM+kmbsRBmmQN+E0CY9Zt4vMcrx77ho+kL0+q/jp/RaF/OX5wVdNfqqoQAOziRAas/6w6ot5H96uMdmAh7z76hhMH9xzWFdfafO1pnzHapM9vhjML62encnBmzOvhr4MCBWftLFWYbGxtd6QNlyP7+979PCrP691prrWWXXJJRcqGlRy9jllIGhYWMq8tDAGG2PFwj0Ws5FliRAIMTZSPAAqtsaOk4CwGEWaaF3wTImPWbeLzHQ5iNd/z99r4j+wav/mvqQVxfzGnK6kKnTpZ2CFdqGYIqvUiLDQH2DRUM9Wu/NvvrpekG7Hax2S7nd9ioBQsW2KGHHmpHH320HXnkkWn96f81ZbWmCrO64IEHHrCnn37aunTp4rJmDzzwQJd1+7e//c2eeOKJZEas15n6mTt3LjVmOxwtOigVAYTZUpGMYD8dWWBFEAcu+UCABZYPkBkiSQBhlsngNwGEWb+Jx3s8hNl4x99P7x98fZI9/8FX1tC0zDYc0stO2mld22ytXq1MmDinycbPWNTqIK5ctirj1ct+9erBqgxBl+oqP91jrIASYN9Q4cB88arZ1LfNVq82G7aV2Xq7l8ygW2+91Ymvp512mn3zm980HfqlQ77uvvtue+6551oJs0uWLHFZs8uXL7cxY8Y4YXbevHmu5uzIkSPtvPPOs6FDh9rkyZOdiDtq1CjbY489EGZLFjE66igBhNmOEozw/QizEQ5uQF1jgRXQwETULITZiAY2wG4hzAY4OBE0DWE2gkENoEtPvjPVzn3i/TTL+nevsWu+s5lNmNWYFGF1KFfzylVZPRjRty55ENcGLWUI1htQb7VdqgPoMSYFhQD7hqBEovR2NDc320MPPeRKE0iTUKuurrY999zTHfSVmTGr1x977DG77777ksKsfjd+/Hi79tprTWULvKbyBj/+8Y+td+/eCLOlDx09FkkAYbZIcHG4DWE2DlEOlo8ssIIVj6hbgzAb9QgHzz+E2eDFJMoWIcxGObqV923V6tX2+awmu/Dpsfb25Pl5GTSkV23rMgSDult918553c9FEEglwL4hHvNBJQekSwwYMCDnYWDtkVAm7Zw5c5wY6x301d49vA4BPwkgzPpJO2RjIcyGLGARMJcFVgSCGCIXEGZDFKAr2/IAACAASURBVKyImIowG5FAhsQNhNmQBCrgZs5rWm6fz260ibOb3M/EnyablKMGrOfOxkN62Hbr9Gs5kEuHcXW3nrVdAu4t5oWJAPuGMEULWyEAgbYIxEqYbWhocPVJBg0alJXJokWLbMWKFda3b9+011966SUbPXq0+5YmTg1hNk7RDoavLLCCEYe4WIEwG5dIB8dPhNngxCIOliDMxiHKpfPRE14ntgivnhg7f/HynIMM71tnVZ3MJs9d3Oqaf56/m6lEAQ0C5SLAvqFcZOkXAhDwm0AshNnZs2fbKaecYvrwVlMK+1FHHWUHHHCA+7cWrhdccIGNGzfO/Xvw4MHuFD9PiN1nn33skksusR133NHv+FR0PITZiuKP5eAssGIZ9oo5jTBbMfSxHRhhNrahr4jjCLMVwR7oQRuWrMjIfm2yhBDb6M7vydbqulbbugO6m2q+rjege/Lv+l1N5ypbvHylnfjQ2/bahDnJ28/ZayM7fff1A80C48JPgH1D+GOIBxCAQIJALITZWbNm2TPPPONO56uvr7cHH3zQ/vSnP7nfdevWze655x57/vnn7a677nI1R04//XQbPny4XXnllQ4SwmxP3i8Q8IUACyxfMDNICwGEWaaC3wQQZv0mHu/xEGbjG39lsHqCq8oOeFmwcxqX5YSi+q+pwmvi7/U2tHe3vEB+MXuRzV6wyDYePtB61FIzNi9oXNQhAuwbOoSPmyEAgQARiIUwm8lbp/Idd9xx7oS+rbfe2o444gjbdddd7aSTTnKXvvjiiy5jViUMOnXqlCbMqvj0xRdfbNttt50de+yxAQpl6U0hY7b0TOmxbQIssJghfhJAmPWTNmOJAMIs88BPAgizftL2f6zGZc1JwdWr++qJsc0rs6e/dq2usnUHJjJfPeE18fd6q+vgAVzsG/yfA3EfkX1D3GcA/kMgOgRiKcw+9dRTduedd9rjjz/u6skqI/ass85yP9U++ugj9+8nn3zSevXqlRRmN9tsMyfeDhs2zK677jrr3Dna3wazwIrOGz0snrDACkukomEnwmw04hgmLxBmwxSt8NuKMBv+GMqDafOXJA/cSs2CnblwaU4HB/SoaSW8qvRAOWu+sm+IxnwLkxfsG8IULWyFAATaIhA7YXb8+PF2xhln2H777edKFqxevdr22msvu+iii2y33XZzrCZMmGCnnnqqK3kwdOhQJ8yeffbZ9uijjzqh9oYbbkiKsk1NTZGdYWLT3NxsXbpwgmpkgxwwx3T4nr7wUKY6DQLlJrBq1Sr3f0B1dXW5h6J/CDgCy5cvt65du0IDAr4QkFCm/0+rqqp8GY9BiiewdMUq+2Lu4sSfOek/lzWvytqxDt1ap1+drdO/zv0cmfL3nhUoJcC+ofj4c2dxBOKwb1AZRhoEIBB9ArESZqdOnWqnnXaabbzxxnbNNdckF6qe8Lr33nu7iGfLmNXvtcBVPdqRI0cmZ4Y2WVFtEi2UUaY6vDQI+EFgyZIlVlNTwybSD9iMYVrQ63NOc44GAT8I6MtcNll+kGYMEdAaTqIsX7AHZz7MWLjMvpjTZBO9P7MlxDbZ9Ibc2a996rrYOv3rbV33p8791L8lyAapsW8IUjTiYUsc9g18mRuPuYyXEIiNMPvZZ5+58gSqKXvZZZelZUipxqyyZU888UQ3I7LVmN1+++1txowZNnPmTLv33nutT58+kZ89PJIU+RAHzkEeSQpcSCJtEKUMIh3eQDpHKYNAhiWyRlHKoDKhXbFylenALdV99Q7d+nxWo/v34uUrcxo1sr9X+7XeVHZAdV9V/7VvfTiy7Nk3VGa+xXlU9g3xi76+AFq6dKk7sD1ubc6cOfbOO++Yl0xYqP9aEygZhScFCyXnz/WxEGbHjRvnyhaMHj3a/fQek9YbWjVm7777bnvhhRfcT/1uzJgxNnz4cLvyyitdFJRRe8kll9hWW21lJ598svvdXXfdFfkPBBZY/rwJGWUNARZYzAY/CSDM+kmbsUQAYZZ54CcBhNny0p69aFmL+JoQYRNCbJNNmbc458A9aju3Onhr3RYBtlq1CULc2DeEOHghNZ19Q0gDl4fZBxxwgDus/aCDDkq7+vXXX3dJdr///e99TZR79tln7dZbb21l+aWXXmo777xzHh51/JI333zTaVJ//etf2+1MiYQ6F+lb3/qWu1bZ5WL6k5/8xPbYY4927+cC/wnEQpiV6HrTTTe1oqvs2WuvvdYaGxvt/PPPN2XVqg0cONBdr59qEmb1ptthhx3cpuqEE05wr912222RfuSaBZb/b8i4j8gCK+4zwF//EWb95c1oCLPMAX8JIMx2nPeq1atd9mvqoVvKfpUAu3DpipwDrNWnLpnxqszXRAZsdxvYM7qlc9g3dHy+0UNhBNg3FMar1Fe/NeMtGzt7rK221bZp/03t60O+XrIhcgmz0m0mTZrkSlP6mfkpYVZJfJni7KBBg3xL1itEmD3zzDNtww03tB/96EcuJqoB/vHHH7vkw549e5YsTnRUOgKxEGbzxdXQ0OAO5hgwYEC+t0T6OhZYkQ5vIJ1jgRXIsETWKITZyIY2sI6RMRvY0ETSMITZ/MM6r2n5mrIDLvs1Icaq/muu1q1rdUv26xrh1ct+rekcvwPX2DfkP9+4sjQE2DeUhmMxvTzw0QN2w9s3pN16+ujT7aTNTyqmu1b35BJmP//8c/vpT39qDz/8sEuQO+qoo2zHHXe0V1991ebNm2ff/OY3nRipM3Ief/xx+/LLL+3cc891/U+fPt3OO+889+TzV199ZZdffrl7GtrLeJXoOmXKFPvFL37R6iBqT5h9/vnnW9kqm5TsJ8G4d+/eLonPKzfQlg3du3dv036JqTqM/umnn3YZr3rSWz56GbMXXHCBffjhh06/0rjHH3+8SyhUWc6bb77ZCdf6/TrrrGNXXXWVHXPMMc7/TTbZxKR7XXfdda40guoYy95TTjnF3fPcc8/Zv/71LyfgvvbaazZkyBDH6etfL53wXpJJErFOEGYjFtBSusMCq5Q06SsfAiyw8qHENaUigDBbKpL0ky8BhNl8SXFdKQggzLamKKHVlR2YlV4Ddv7i3If5Du5VmxRglfXq1X8d2pvDcVMJs28oxbuWPgohwL6hEFptX3vH+3cU1NnDHz9si5YvSrunW+duduymxxbUz4mbnWidqzrnLcxKiDz77LPtz3/+sxMR99xzTyc+SnRUSUqJqhdeeKHtsssu7unm8ePHO5FSTcKpzhR68sknrVevXu4J6b/85S/20EMPuWzSq6++2m6//XbbYIMNWtkjYfaOO+6www8/PPnaiBEjTOcQHXroobb22ms7kfW///2v6dpf/epXTgBtz4a27JcIrH4OPPBA548EWYmunjArcVq29uvXz/7xj3+48g5PPPGEO/hTou3QoUNdKQgdOitbNNbPf/5z23bbbd3T4l988YWddtppNnfuXHeG0pFHHun+3H///fboo4/aXnvtZTvttJMr+TlhwgR75JFHCootFxdGAGG2MF6xupoFVqzCHQhnWWAFIgyxMQJhNjahDoyjCLOBCUUsDImrMNuwZIUrNZBa99X7++rV2UPfpboqWXog9eAtZcDW17QWDWIxgQp0kn1DgcC4vMME2Dd0GGGyg9EPj7bmVc2l6zDPnt496t0OC7MSY3UWkJoESQmVEh7bE0Wbm5udUKvMVB3yfsYZZ9i+++6b1XKvxuxGG22UfH2LLbZwJRWuuOIKl9kqIVRNQq0nfrZng8TSXPbLNvmibFy1zFIGOgjtk08+cX9mz57tMmtvvPFG22yzzSyzlIHu94RZibQSe3XN/vvv7/q+5ppr7L333nNZxhJm//Of/7jSDWoTJ050GbMSfSWC08pDAGG2PFwj0SsLrEiEMVROsMAKVbhCbyzCbOhDGDoHEGZDF7JQGxx1YVaHbHnZr6k1YOc0LssZt/7daxIC7MBEzVev9MCIvvE74bvUk5t9Q6mJ0l97BNg3tEco/9dvf+/2/C82s99+8tusGbPHbHJMQf2o9EFHM2ZThU09si/BVWUK2hNFZaiyRk866SRbb7317M4778xpe65SBsq+/c1vfmOpJQ5UakG1cCWStmdDpjCbav9+++3nMoEl9GYKs+pfh9qrJIME4sGDB7vM1l/+8pfu320Js/3793c+33PPPTZy5EjXt8oXKFtYmciZwuysWbPsBz/4gSsfoXFo5SGAMFserpHolQVWJMIYKidYYIUqXKE3FmE29CEMnQMIs6ELWagNjoIw27Ss2dV7lQCbEF+9TNgma165Kmt8OnWyltIDa4RX7wCuXt26hDqmQTaefUOQoxNN29g3VC6u2WrMjtlyjJ28xcklMSpXjdlspQxyCbMSWseOHesER7XMUgb63SWXXOIyTjWXJIput912We3PJcy+8sorLts0NZtUYur666/v+m7PhraE2TFjxpgydCXAZgqzKmegGrFeWQa9rr5ShVmVOVAfXvMyZvV7ib0XXXSR7bbbbu7lW265xZVDeOqppxBmSzKDC+8EYbZwZrG5gwVWbEIdGEdZYAUmFLEwBGE2FmEOlJMIs4EKR+SNCZMwO23BkoT42lL7NVF6oMlmLlyaM06967omyw94wquXBRv54AbQQfYNAQxKxE1i31DZAL/51Zs2dvZYW22rbdP+m9r2Q7cvmUESZvWYvQ7z8lptba07/CqzxmwuYVaP/l922WXukXwdFKY6qjrMyhMz9VO/UxmCxx57zF566SV74IEHsh4En0uYlT1HHHGEE0VVeuCtt95ypQc80bM9G9oSZn/72986Wy+99FIbOHCg6XCy//3vf67G7Ouvv+58k6CqLFZl7Mp2T5jVAWfvvvuuq6/b1NTkDg5LrTEr8VgHpKlvrU0vvvhid4iaDkojY7Zk07igjhBmC8IVr4tZYMUr3kHwlgVWEKIQHxsQZuMT66B4ijAblEjEw46gCbNLV6x0Ymtq2YFEJmyT6bVcbWS/+mTJgUQJAv27u/Wr7xqPQIbES/YNIQlUhMxk3xChYGa4ImF2yZIlab9dZ5113CP6Z511VtrhX8ocHT16tLtWWa+qvapyAippoGs//fRT95pqr37wwQdO7FQJAGWiSpDcdddd3bXHHnusdenSxe677z7rpEcvUlouYVaXKNNUYqw+A9UkKMtOtbZs0AFkEktz2a+6scp4lfirpnILn3/+uRNmVRdXAvVHH33kXhs1apSNGzfObrjhBtt8881diYaf/OQn7t5hw4Y50VZjyc6tt97ava46vAsWLHD3KzNXmb89evRwpRkkKHulHWSHxGcJxYMGDYrupKuwZwizFQ5AkIdngRXk6ETTNhZY0YxrUL1CmA1qZKJrF8JsdGMbRM8qJczOWLjUPp+VEFy9zFeJscqKzdW613ZuKT9Q31L7NSHAKgO2uip9gxxE1thkTpRQZlbPnj3BAQFfCLBv8AVz6AeZO3eu1dXVuQzRcjWJwdOnT3eHdWUbp1gbJMBKRFbGqzKGM9ucOXNcNrBez9Y0rgTgzp2zH2I5c+ZM16+uoVWWAMJsZfkHenQWWIEOTySNY4EVybAG1imE2cCGJrKGIcxGNrSBdKycwuyKlatSsl/Ta8CqLmyutlafbq2EVx3ANahn6w1nIKFiVE4C7BuYHH4TYN/gN3HGgwAEykUAYbZcZCPQLwusCAQxZC6wwApZwEJuLsJsyAMYQvMRZkMYtBCbXAphdvaiZWmHbnlZsFPmLc5JprZLdUrt15YDuFwJgu5W07kqxEQxvS0C7BuYH34TYN/gN3HGgwAEykUAYbZcZCPQLwusCAQxZC6wwApZwEJuLsJsyAMYQvMRZkMYtJCa/Nakefbe5DnWtXO1fWP9gbbhoB45PVm1enWrsgNeCYKFS1bkvG9wz1pTzVdlvEp09Q7eGta7fI+LhjQcsTCbfUMswhwoJ9k3BCocGAMBCHSAAMJsB+BF/VYWWFGPcPD8Y4EVvJhE2SKE2ShHN5i+IcwGMy5Rs+qGlz61W16ZkObWzd8fbTtv0N+VH0iIrmtqwH4xpykngs7VVSnZr4lDtxIibL3V12SvWRc1nviTHwH2Dflx4qrSEWDfUDqW9AQBCFSWAMJsZfkHenQWWIEOTySNY4EVybAG1imE2cCGJrKGIcxGNrSBcWzlqtU26tI/m2rAprbOVZ2sedXqnHb2716TlvnqHbw1ol9dYHzDkGATYN8Q7PhE0Tr2DVGMKj5BIJ4EEGbjGfe8vGaBlRcmLiohARZYJYRJV+0SQJhtFxEXlJgAwmyJgdKdI7CseZW9PWmevTVpvr02YY6pjEGu5mW7JkoQJDJf9bte3bpAEwIdIsC+oUP4uLkIAuwbioDGLRCAQCAJIMwGMizBMIoFVjDiECcrWGDFKdqV9xVhtvIxiJsFCLNxi3h5/J3TuMyJsAkxdp6NndrQ7kDrD+xuL/94l3av4wIIFEuAfUOx5LivWALsG4olx30QgEDQCCDMBi0iAbKHBVaAghETU1hgxSTQAXETYTYggYiRGQizMQp2CV2dOLvJ3p6cEGElyE7KUhNWWa/bjOxj24zsa//+bLY9+970NAuuOHATO/obI0toFV1BIJ0A+wZmhN8E2Df4TZzxIACBchFAmC0X2Qj0ywIrAkEMmQsssEIWsJCbizAb8gCG0HyE2RAGrQImv//lgrSM2LlNy1tZsdUIibAJIXbbtftYn/quadc8+940e2/yXOvSudp22GCg7bLhgAp4wpBxIsC+IU7RDoav7BuCEQesgAAEOk4AYbbjDCPbAwusyIY2sI6xwApsaCJpGMJsJMMaaKcQZgMdnooYt3TFSifCKhvWqxObeXBXj9rOToDdZu0WIXZkH6vq1KldexcvXmzV1dVWU1PT7rVcAIGOEmDf0FGC3F8oAfYNhRLjeghAIKgEEGaDGpkA2MUCKwBBiJkJLLBiFvAKu4swW+EAxHB4hNkYBj3D5VmLVB92jQj74bTW9WHX6tMtKcRuO7KvbTS4R1HgEGaLwsZNRRJg31AkOG4rmgD7hqLRcSMEIBAwAgizAQtIkMxhgRWkaMTDFhZY8YhzULxEmA1KJOJjB8JsfGLteTphVmMiE3Zy4rCuyXMXt4KwydCeaULs4F61JQGFMFsSjHSSJwH2DXmC4rKSEWDfUDKUdAQBCFSYAMJshQMQ5OFZYAU5OtG0jQVWNOMaVK8QZoMamejahTAb3dh6nr07RfVh12TEzl+cXh+2a+eqZEkC1Yjddu2+1q1rdVnAIMyWBSud5iDAvoGp4TcB9g1+E2c8CECgXAQQZstFNgL9ssCKQBBD5gILrJAFLOTmIsyGPIAhNB9hNoRBa8PkxctVH3aNCKuM2OZVq9PuGNCjJk2I3WKt3r5BQJj1DTUDmRn7BqaB3wTYN/hNnPEgAIFyEUCYLRfZCPTLAisCQQyZCyywQhawkJuLMBvyAIbQfITZEAYtxeQZC5cmD+iSCPvR9IWtHFp/YPc0IXZkv/qKOY0wWzH0sRyYfUMsw15Rp9k3VBQ/g0MAAiUkgDBbQphR64oFVtQiGnx/WGAFP0ZRshBhNkrRDIcvCLPhiJNn5WczG11GrMuKnTzfvpzXuj7s1mv3SRNi+9R1DYyTCLOBCUUsDGHfEIswB8pJ9g2BCgfGQAACHSCAMNsBeFG/lQVW1CMcPP9YYAUvJlG2CGE2ytENpm8Is8GMi2fVO5Pnt5QmSPxsWLIizeCetV1MdWHdn7X7up9VnToF1imE2cCGJpKGsW+IZFgD7RT7hkCHB+MgAIECCCDMFgArbpeywIpbxCvvLwusyscgThYgzMYp2sHwFWE2GHGQFY3LmtNE2LcnzbdVq9Prww7vU5cmxG40uEdwHMjDEoTZPCBxSckIsG8oGUo6ypMA+4Y8QXEZBCAQeAIIs4EPUeUMZIFVOfZxHZkFVlwjXxm/EWYrwz3OoyLMVi760xcsceUIEod1zbdPvmpdH3bTYb3SyhIM7llbOYNLMDLCbAkg0kXeBNg35I2KC0tEgH1DiUDSDQQgUHECCLMVD0FwDWCBFdzYRNUyFlhRjWww/UKYDWZcomwVwqx/0f10xqK0jNhpC5akDV7Tucq2Gdk3TYjt1qXaPwN9GAlh1gfIDJEkwL6ByeA3AfYNfhNnPAhAoFwEEGbLRTYC/bLAikAQQ+YCC6yQBSzk5iLMhjyAITQfYbZ8QfMyYb2fC5em14cd2KMmTYjdfK1e5TMmID0jzAYkEDExg31DTAIdIDfZNwQoGJgCAQh0iADCbIfwRftmFljRjm8QvWOBFcSoRNcmhNnoxjaoniHMliYyEl1VjiBVjM3seYOB3RNCbMtBXWv3qyvN4CHqBWE2RMGKgKnsGyIQxJC5wL4hZAHDXAhAICcBhFkmR04CLLCYHH4TYIHlN/F4j4cwG+/4V8J7hNniqE+bv8TempyoDSsxVmUKMts2a/dJE2J713UpbrAI3YUwG6FghsAV9g0hCFLETGTfELGA4g4EYkwAYTbGwW/PdRZY7RHi9VITYIFVaqL01xYBhFnmh98EEGbzI66Dud6aNN/enjTP/fyqIb0+bK9uXdJqw26zdl/r1Cm/vuN0FcJsnKJdeV/ZN1Q+BnGzgH1D3CKOvxCILgGE2ejGtsOescDqMEI6KJAAC6wCgXF5hwggzHYIHzcXQQBhtjW0VatXp4iwiazYxmXNaReO6FuXLEmg0gQbDupRBP343YIwG7+YV9Jj9g2VpB/Psdk3xDPueA2BKBJAmI1iVEvkEwusEoGkm7wJsMDKGxUXloAAwmwJINJFQQQQZs0WLFF92EQmrH6+M3l+K4abDeuVJsQO6llbEGcuThBAmGUm+EmAfYOftBlLBNg3MA8gAIGoEECYjUoky+AHC6wyQKXLNgmwwGKC+EkAYdZP2owlAnEUZr+ct3hNRuzkefbZzMa0yVDbpbqlLEEfU0kCZcTqd7SOE0CY7ThDesifAPuG/FlxZWkIsG8oDUd6gQAEKk8AYbbyMQisBSywAhuayBrGAiuyoQ2kYwizgQxLpI2KgzD70fSFaRmxMxYuTYupsl8TB3UlDutSdiytPAQQZsvDlV6zE2DfwMzwmwD7Br+JMx4EIFAuAgiz5SIbgX5ZYEUgiCFzgQVWyAIWcnMRZkMewBCaHzVhtnnV6jQR9q1J82zx8pVpkdlwUPdkJqyEWNWLpflDAGHWH86MkiDAvoGZ4DcB9g1+E2c8CECgXAQQZstFNgL9ssCKQBBD5gILrJAFLOTmIsyGPIAhND/swuz8puX21uT5JgFW9WHfnbKgVRS2HZkoR5DIiu1rvbp1CWGkomEywmw04hgWL9g3hCVS0bGTfUN0YoknEIg7AYTZuM+ANvxngcXk8JsACyy/icd7PITZeMe/Et6HTZidPFf1YRMirA7r+nx2en1Yia4SXyXEbtsixFaCK2NmJ4Awy8zwkwD7Bj9pM5YIsG9gHkAAAlEhgDAblUiWwQ8WWGWASpdtEmCBxQTxkwDCrJ+0GUsEgi7MfjitwQmwnhg7a9GytMCt3a/Otl67r23rMmL72gaDuhPYABNAmA1wcCJoGvuGCAY14C6xbwh4gDAPAhDImwDCbN6o4nchC6z4xbzSHrPAqnQE4jU+wmy84h0Eb4MkzC5fucreThFhJcguXZFeH3bztXqlCbEDe9YEASM25EkAYTZPUFxWEgLsG0qCkU4KIMC+oQBYXAoBCASaAMJsoMNTWeNYYFWWfxxHZ4EVx6hXzmeE2cqxj+vIlRRm5zYuT2TCTk6UJXj/y/T6sLVdqltqw7aUJhjZ12o6V8U1VJHwG2E2EmEMjRPsG0ITqsgYyr4hMqHEEQjEngDCbOynQG4ALLCYHH4TYIHlN/F4j4cwG+/4V8J7P4XZL+Y0JWvDqkbsxDlNaS4P6lmbFGJVmmDTYb0qgYQxy0gAYbaMcOm6FQH2DUwKvwmwb/CbOONBAALlIoAwWy6yEeiXBVYEghgyF1hghSxgITcXYTbkAQyh+eUUZsdOXeAyYb2DuuY0pteH3XBQj4QQO7KvO6hreN+6EBLE5EIIIMwWQotrO0qAfUNHCXJ/oQTYNxRKjOshAIGgEkCYDWpkAmAXC6wABCFmJrDAilnAK+wuwmyFAxDD4UslzC5rXpU8oMs7rGt586ok0U6dzB3OlSrE9uzWJYbE4+0ywmy84++39+wb/CbOeOwbmAMQgEBUCCDMRiWSZfCDBVYZoNJlmwRYYDFB/CSAMOsnbcYSgWKF2dmLliUzYd+aPM8+mNqQBrR3XVfbZm1lwyYyYvV3GgQQZpkDfhJg3+AnbcYSAfYNzAMIQCAqBBBmoxLJMvjBAqsMUOkSYZY5EBgCCLOBCUVsDMlXmJ04u9GVJXCHdU2ab5PmpteHXbtffUt92IQQu8HA7rFhiKP5E0CYzZ8VV3acAPuGjjOkh8IIIMwWxourIQCB4BJAmA1ubCpuGQusiocgdgawwIpdyCvqMMJsRfHHavCn351mj745xaYvWGxDe9fZEduNsINHD0syeO9L1YdNiLD6Oa9peRqfzdfqlcyElRA7sEdNrPjhbHEEEGaL48ZdxRFg31AcN+4qngD7huLZcScEIBAsAgizwYpHoKxhgRWocMTCGBZYsQhzYJxEmA1MKCJtyLtTFtjBt7/WysfDth1uU+YtdmLsipVr6sN261q9pj6sK0/Q12o6V0WaEc6VhwDCbHm40mt2AuwbmBl+E2Df4DdxxoMABMpFAGG2XGQj0C8LrAgEMWQusMAKWcBCbi7CbMgDGALzFy5ZYdf+eZw98uaUnNYO7lWbclBXH9t0aK8QeIaJYSCAMBuGKEXHRvYN0YllWDxh3xCWSGEnBCDQHgGE2fYIxfh1FlgxDn6FXGeBVSHwMR0WYTamgS+T2xPnNNknXy20cV8ttE++WuT+Pm3Bkpyj7bvZELtw31E2vE9dTLgVfQAAIABJREFUmSyi27gTQJiN+wzw13/2Df7yZjQO/2IOQAAC0SEQO2FWi4aqqirr1KlTqyguWrTIVqxYYX379k177aWXXrLRo0fbgAEDohP5PDxhgZUHJC4pKQGE2ZLipLN2CCDMMkWKIbBoabONmyHxdY0Aq78va15TjkD91napto2H9LAetV3sn+Nntxrq3qO3sW9uPKgYE7gHAnkRQJjNCxMXlYgA+4YSgaSbvAmwb8gbFRdCAAIBJxArYXbJkiX2wx/+0I466ig74IADkqHRwvWCCy6wcePGud8NHjzYbrzxxqQQu88++9gll1xiO+64Y8DDWVrzWGCVlie9tU+ABVb7jLiidAQQZkvHMqo9TVIW7IxE9qsnxE6dv7iVu0N7d7ONh/R0Qqz7ObinrTugPnndT5/9yB56Y1Ly30dvP9KuOGCTqGLDr4AQQJgNSCBiYgb7hpgEOkBusm8IUDAwBQIQ6BCB2Aiz119/vSnzVe30009PE2bvuecee/755+2uu+6yuro69/rw4cPtyiuvdNcjzPbs0CTjZgjkS4AFVr6kuK4UBBBmS0ExGn00LWtOlB9IyYRVSYIlK1amOVhd1cm+5gTYnjbKE2GH9LTe3bq0C0KZthOnz7b1hg2w7jWd272eCyDQUQIIsx0lyP2FEECYLYQW15aCAPuGUlCkDwhAIAgEYiPMzp8/37QJP+mkk+yEE05IE2aPOOII23XXXd1rai+++KLLmJWQq5IHqcLs3Llz7eKLL7btttvOjj322CDEsGw2sMAqG1o6zkGABRZTw08CCLN+0g7OWJPnLk5kv85QPdhENuyUea2zYAf2qGnJgl2TCbvhoB4dckRrkT59+nSoD26GQL4EEGbzJcV1pSDAvqEUFOmjEALsGwqhxbUQgECQCcRGmPWCcNBBB9lxxx2XJsxKeD3rrLOcAKv20UcfuX8/+eST1qtXr6Qwu9lmmznxdtiwYXbddddZ587RznhhgRXkt240bWOBFc24BtUrhNmgRqY0di1evnLNYVwp5Qj0+8w2anBLCYKWbFiVJOjfvaY0hqT0gjBbcqR02AYBhFmmh58E2Df4SZuxRIB9A/MAAhCICoHYC7OrV6+2vfbayy666CLbbbfdXFwnTJhgp556qj344IM2dOhQJ8yeffbZ9uijjzqh9oYbbkiKsgsWLIjKXMjqh/hkOygt0k7jXMUIMN8qhj62AzPnohH6aQuW2vhZTTZ+1mIbP1s/m+zL+UtbOde7W2fbcGB9xp86q8pyIGg5yDDfykGVPnMRYL4xN/wmwJzzm3i8x4vDfOvdu3e8g4z3EIgJgdgLs4qzJ7zuvffeLuzZMmb1e30TrHq0I0eOTE4P/YcQ1SZ/lW3Ro0fHHt2MKh/8Kj2BRYsWuTrP1dXVpe+cHiGQQUAZs6tWrbJu3brBJiQElq5QFmyiFqwrQ+Bqwi4y1YjNbOsN6J48jMvLiB3Sq7ainurLXDZZFQ1BrAbXobdVVVVWU1P67O9YgcTZvAiwb8gLExeVkEAc9g0kSJVwwtAVBAJMAGHWzFRjVtmyJ554ogtVthqz22+/vc2YMcNmzpxp9957byxqxPFIUoDfuRE1jUeSIhrYgLpFKYOABqbFrKnzlyRqwbp6sIlasJPmNLUyWgdp6TCuxJ81JQlqOlcFzkFKGQQuJJE2iFIGkQ5v4Jxj3xC4kETeIPYNkQ8xDkIgNgRiI8xqsaDMqEMPPdSOPvpo23///a1Ll8Qpynfffbe98MIL7qey9caMGWPDhw+3K6+80r3uHf611VZb2cknn+x+d9ddd7lro9xYYEU5usH0jQVWMOMSVasQZoMR2WXNq5IC7Jos2IW2aGnrLNgRfevsa0N62qghPe1rQ3q4n/pdWBrCbFgiFQ07EWajEceweMG+ISyRio6d7BuiE0s8gUDcCcRGmD3nnHNs7NixafGWELvOOutYY2OjnX/++fbZZ5+51wcOHGg33XST++kJs5deeqntsMMOpk3VCSec4F677bbb3CNiUW0ssKIa2eD6xQIruLGJomUIs/5HddqCJTbOZcEmMmBVimDi7NZZsDVdquxrg70s2DWZsPU14T50E2HW/zkX5xERZuMcff99Z9/gP/O4j8i+Ie4zAP8hEB0CsRFm8wlZQ0ODLV++3AYMGJDP5ZG/hgVW5EMcOAdZYAUuJJE2CGG2fOFdsdLLgm0RYFvKESxcsqLVoEN7d0uUIEgRYtcdUF8+4yrYM8JsBeHHcGiE2RgGvYIus2+oIPyYDs2+IaaBx20IRJAAwmwEg1oql1hglYok/eRLgAVWvqS4rhQEEGZLQdHsq4ala2rBtmTCfj67sVXn1VWd0mvBtgixvesSZYXi0BBm4xDl4PiIMBucWMTBEvYNcYhysHxk3xCseGANBCBQPAGE2eLZRf5OFliRD3HgHGSBFbiQRNoghNnCwtu8anUrAVblCBqyZMEO6FHTSoTdaHCPwgaM4NUIsxEMaoBdQpgNcHAiaBr7hggGNeAusW8IeIAwDwIQyJsAwmzeqOJ3IQus+MW80h6zwKp0BOI1PsJs7njPWJjIgnWHcbmasAvts1mts2DVgwTXjYd49WATJQkkzNJaE0CYZVb4SQBh1k/ajMW+gTngNwH2DX4TZzwIQKBcBBBmy0U2Av2ywIpAEEPmAguskAUs5OYizJqtXLXaxs1IOYyr5WCu+YuXt4quSg5IgP1ahghbVdUp5DPBP/MRZv1jzUhmCLPMAj8JsG/wkzZjiQD7BuYBBCAQFQIIs1GJZBn8YIFVBqh02SYBFlhMED8JxE2YnbVwmX3iRFjvzyIbP3NRVuQ6fGuNAJvIhh3Sq9bP8ERyLITZSIY1sE4hzAY2NJE0jH1DJMMaaKcWzp9j9T37WHV1daDtxDgIQAAC7RFAmG2PUIxfZ4EV4+BXyHWE2QqBj+mwURVmV6+2FAF2TSmCeU2ts2Drazq3CLCp5Qh6Wk3nqpjOivK6jTBbXr70nk4AYZYZ4ScB9g1+0o75WB/83uzV683mjDfr2t1si8PM9rsx5lBwHwIQCDMBhNkwR6/MtrPAKjNgum9FAGGWSeEngSgIs7MXeVmwawTYT2dkz4Id0beupRbsGhFWv6P5RwBh1j/WjEQpA+aAvwTYN/jLO7ajNc0xu3691u7vfbXZN8bEFguOQwAC4SaAMBvu+JXVehZYZcVL51kIIMwyLfwkEDZh1h3GNWORfZxSimBu47JWyJTtuuYwLpUhSAix3Ws6+4mXsbIQQJhlWvhJgIxZP2kzFvsG5kAagVXNZiuWmK1YnPIz5e/LM19r49rUfpbMM2ua2xr2xgeYHfYwQYAABCAQSgIIs6EMmz9Gs8DyhzOjrCGAMMts8JNAUIVZia2ffLWoVTmCbGxU9zVThF1vQHc/MTJWAQQQZguAxaUdJoAw22GEdFAAAfYNBcCq5KUrV2SIpaUQT1P7WGLWvNR/DxFm/WfOiBCAQMkIIMyWDGX0OmKBFb2YBt0jhNmgRyha9gVBmFXZgeRhXC1/V3mCzFbVqVMy8zX1UK7edV2iFZSIe4MwG/EAB8w9hNmABSTi5rBv6GCAm5dlyTDNI4vUyzxt1rXeHy8ztUKCaadOZl26mXWpM+usnyl/Wv27tp3XM+5fsczs3t3NVq9KB773z82+8aMOBoHbIQABCFSGAMJsZbiHYlQWWKEIU6SMRJiNVDgD74yfwqwO3koIsC1C7Az9faHpoK7M1r97jcuC/VpLCQL9faPBPQLPEwPbJ4Aw2z4jrigdAYTZ0rGkp/YJuH1DY6P17NWr/YvDdIWyP73H8ZenPpbf1qP4KQJp0ARTJ4zWpYuhnoiqn2nCaW0ewmqqcJpyfXXX8kX5w6fM/nm92exPzWp6mm1+mNm+15VvPHqGAAQgUGYCCLNlBhzm7hFmwxy9cNqOMBvOuIXV6nIJs+NnSnxNyYT9aqHNypIFK24bDfIO4lpzINeAHjVhRYrd7RBAmGWK+EkAYdZP2jEf68Xzzcb+3mzpQrOBG5ntfL7ZJgeXF0pa7dKMzNDka9kySFuuDZJgal6GqSdyZgqnLf/OzDZtJaRmCqvev1uyUnV/dXSetFnYsMDqu/ew6urq8s41eocABCBQZgIIs2UGHObuEWbDHL1w2o4wG864hdXqjgqz8xcrCzZdgNW/V2VJg+3drUtKLdg1Imx1Vaew4sPuIgggzBYBjVuKJoAwWzQ6biyEwBu3mf3lovQ7qqrNTnrVrHNNSj3TTPE0x79DJZhme1w/Q1TN+Sh/ilgqgbWKAzoLmXa6ln1DocS4HgIQCCoBhNmgRiYAdiHMBiAIMTOBBVbMAl5hd9+aONuWr2i2LUYOsO41bW+IJsxqXFMLtkWMnbEw++EW6w6ot40H90wTYof27lZhbxk+CAQQZoMQhfjYgDAbn1iXzVMdFLV4jllTyx/v76m/m/K62eJ5ZTMhZ8ftPo6fI+s0rd5plkf6O2fUPO1ENqb/wc1vRPYN+XHiKghAIPgEEGaDH6OKWYgwWzH0sR2YBVZsQ++r429PmmdjHn3XZjQkhNXOVZ3smu9sZoduM9walqxoJcCqFmzzqtbFYOtrOicP5HJC7NCetvHgHlbbhU2crwEN0WAIsyEKVgRMRZiNQBBL7cLK5QmRtT2x1Xt9aUPxFtT3N+vWJ/chUK2E1czH9bPVQU15VL9TVfG2cWckCLBviEQYcQICEDAzhFmmQU4CCLNMDr8JsMDym3g8x/vh/f+1f46fneZ8185V1q++q33VItZmkhnet64lAzZRhuBrQ3raiL518QSI10UTQJgtGh03FkEAYbYIaGG7pXnZGpE1m9iaKsLqddWALaR16mRW199MImvaz35rfvfFP83evj+j105m509I3EODQJkIsG8oE1i6hQAEfCeAMOs78vAMiDAbnlhFxVIWWFGJZOX8WLpipc1cuMxUZkAZsTNbfrp/L1xqMxuW2rQFS3IaKIFWwmtCfF1TC7a9UgeV85iRw0QAYTZM0Qq/rQizIYxh89I8M1rnJq5bVqjQWpUhsqYIrBJfWwmweQqrfzrbbOzjZsubzPpvkDj8a/PvhTAAmBwmAuwbwhQtbIUABNoigDDL/MhJAGGWyeE3ARZYfhMP13hzG5cnBNcWgTVNfG0RYFWKoNj27JgdbIu1ehd7O/dBoF0CCLPtIuKCEhJAmC0hzGK78oTWfMsHLFtU2Eh6nD+XoOpluKaJrf0K67+Aq92+YeF869knTzG3gL65FALZCLBvYF5AAAJRIYAwG5VIlsEPhNkyQP3/9u4Dzo6q7v/4b/tmN5u+aZCIGBJQCRhAEP9qQudRRAUeFBREBARBAZFgUEHR2OhWCCLYkKaIFGmCEBWQPy1i6J2EQCrJbrbv8/qde+fu3Ll1bpk7Z+YzvPK6u/dOOed9htmZ7z1zhlXmFeAEK547SO/A0Ejv1jw9XbON8+oVq6+rkyljWmTq2FaZOqZVpoxpNT+b1+TPv3/gZVly3/Npi+613RS57Mid49kA1DowAYLZwKjZkIgQzFZhN+jfnN6jtdBYrX2b/BWiviFz6IBsvVid99om+Ft/FefmuqGKuKw6qwDXDewYCCAQFQGC2ai0ZBXqwQlWFVBZJcFszPaBtV19JnTN6Onq6vW6vru4Xq4drY2JsDUZurp/dgLYyR0tRQn/4u/PyX1PvyF9A0Myb6uJcspe2/DQrqLkmKkcAYLZcvRY1q8AwWwRYv3diaDVOxZrrvf0Vn0/U31j+vAA2cZqdfdsHRWeoNVPNXVerhv8ijF/uQIEs+UKsjwCCIRFgGA2LC0RwnJwghXCRol4kTjBsqeBNdDMNpTAyJiuiXFeBwaHClZKny2Sq3er09N1ytgWaW9uLLguPzP09vaaC8m2Nh7i5ceNeUsXIJgt3Y4l/QvEMpjV4LRQL1bnc33t6/YHW9/kGTpAx2jtFGnzjNXqhK2jxvtbv8Vzc91gceNZWnSuGyxtOIqNAAIZAgSz7BQ5BTjBYucIWoATrKDFs29Pe7m6H5qV9gAt80CtXlnX3VdUYbWX60i4mj68wNQxLeYz/VeLiWC2Furx3ibBbLzbP+jaRyKY1aEAco7PmnwAlvtz7QHrZ2poFmmfmDl8QNbxWSeJjGIc8ly8XDf42fGYtxICXDdUQpF1IIBAGAQIZsPQCiEtAydYIW2YCBeLE6zqNm7/YGIs1/RhBXozxnfV+QpNdSKpIQXSg9fE+K7Oe+0tle3lWqhcfj4nmPWjxbyVECCYrYQi6yhWIJTBrD7cKq1HazJcdfdidQ8joGO6+plM0DppJGjNNz6rftY61s/amTePANcN7B5BC3DdELQ420MAgWoJEMxWSzYC6+UEKwKNaFkVOMEqvcG0B6uGrqZ3q3mAVm9ar1d9b11Xcb1cR7c0poWrifFbE71bnQdo1aqXa+lCmUsSzFZSk3UVI0AwW4wS81RKIJBgVoPWnD1aPWO36nwDPf6q19hSxMOwXMMIELT6863g3Fw3VBCTVRUlwHVDUUzMhAACFggQzFrQSLUqIidYtZKP73Y5wcpse+29mhhKIDFmq/5b5fR6dQWxOuZrMVNG71bXw7ScB2hpMBuHiWA2Dq0crjoSzIarPSJbmteXidzxTZGX7xfRHqSz9xX5yAUize2Fq9zz1kiP1nxjtTqfDfQWXqd7jsbWHD1aswwnoD1aW8b4Wz9z10yA64aa0cd2w1w3xLbpqTgCkRMgmI1ck1auQpxgVc6SNRUnELcTrPXd/QUeoNUjOt5rMZMOGZB4gFb6UALuYQWmjG0VHYKAKSFAMMueELQAwWzQ4jHd3qXzRVY8kl752fuJzDsiR+jqGk7Ab9DaNCr3g6+yDSPQ0hHTRol+tbluiH4bh62GcbtuCJs/5UEAgcoJEMxWzjJya+IEK3JNGvoKReUEa2BoeGRYgYwxXbX3a2LIgV4fvVxN4Jqld2sijG0VfcgWkz8Bgll/XsxdvgDBbPmGrCEpMDwk8tYKkY0rRN5aOfLz2udFlt9UOpMGrYXGZXUejKWvLaNL3xZLRkqA64ZINacVlYnKdYMV2BQSAQSqKkAwW1Veu1fOCZbd7Wdj6W04wdqwuX/kAVppY7omx3fd0CNrfPRyTQWuZhzXkYdmuX+uo5trVXZngtmqsLLSPAIEs+weRQn0dYlsTIat2cJXDWL1cz+TDmmw9fw8D8ZKjtPaTNDqh5V5RwS4bmBvCFrAhuuGoE3YHgII2ClAMGtnuwVSak6wAmFmIy6BWp5gDWovVzOW60jAasZzTb6XGN+1V3r7B4tqs8kd6UMK6DACTu9WDV31Z3q5FkVZtZkIZqtGy4pzCBDMsmtI95pk79Y8wevm9cVBjZ4s0jFdZMw0kTHTR36++3siG15JX8f2h4gcdFlx62UuBEoQ4LqhBDQWKUugltcNZRWchRFAAAGPAMEsu0ROAU6w2DmCFqjWCZb2ck0LWDN6uvbK6k3FPcCkrbkh65ACqYdqJcd4raeba9C7j+/tEcz6JmOBMgUIZssEDPPiZmgB7cmqQwsk/2Xr9TrQU7gWDU3ZA9dU+Koh7DQRnS/b9OJSkdsWiax8LPHprL1EDvxJYhkmBKokwHVDlWBZbU6Bal03QI4AAggELUAwG7S4RdvjBMuixrK8qC+u6ZLLl74gT63cIOPbW2T/7afJgTtuUbBW2svVBK4ZPV1704LYHh+9XE3A6hpSIPF7ixnHVXu5jhmV40K4YGmZIWwCBLNha5Hol4dg1tI27u/OH7aa4QaKHFqgZUyid6v2cjW9XbP83D65IlDd69+UhqYWaWkfU5H1sRIE8glw3cD+EbQAwWzQ4mwPAQSqJUAwWy3ZCKyXE6wINKIlVVhw7j3ywuqutNL+6OC5ssOMca6AtdcEsKuch2lt6PHVyzXVo9U9pMCYFnEPMdBQz2CuluwyFSkmwWxFGFmJDwGCWR9YQc1qhhYo0NO16KEFpngC12TPVhO+Jn9u6QiqZtLd3S0NDQ3S0tIS2DbZUHwFuG6Ib9vXquYEs7WSZ7sIIFBpAYLZSotGaH2cYEWoMUNQlY09A7Kuu0/WdfWZ17Vd/eb1P69tkD898lrJJezUsVzHJB+alerpmuzhmvx9LL1cS/aN8oIEs1Fu3XDWjWA2wHYZHi48rID2dC1qaIHmwoGrBq/1jQFWsPCmCGYLGzFH5QS4bqicJWsqTuD1ta9L59hO8wUUEwIIIGCzAMGsza1X5bJzglVlYItX/9ZmDVUTweraZNCaCFz7TfC6NhXAJubRfwODw75qrL1XZ0xoM6GrCV5NyJoIYZ3f9ZVerr5YmdklQDDL7hC0AMFshcRTQwu4erq6x3P1M7RA6xjXkAKunq3uh2m1d1ao4MGuhmA2WO+4b43rhrjvAcHV/4Znb5CfP/ZzWbFphTTWN8oB7zhAvr37t4MrAFtCAAEEKixAMFth0CitjhOsKLVm7rrog7FGwtSRIDXxXuIzp6fr+s39sr67X/oHh3zjjGpukAltzTJe/7U3JV+bZXh4WH79r5cy1veFD71Dzth/W9/bYQEEihUgmC1WivkqJUAwW4Rk91pXT1fPEANO4Lp5XRErEpHROrSAM46ra1gB99iuzaOLW5eFcxHMWtholhb5mqeukdtfvF029GyQWRNmyZHvOlK2ncA5nKXNGepir968WhZcsyCjjKfudKoc9e6jQl12CocAAgjkEiCYZd/IKUAwa9/OoaHpSG9VZ9iA/oxeres395mAteSQtalBJoxuTgSt7Rq2jgStJnjV3837Iz+Pasp9m9HiW5bLpfc+nwLffoux8qujdpFJoxkXz7690J4SE8za01ZRKWmsg9nU0ALesNXze9FDC7gD1+QDtNy9XDV8rY/37a0Es1E5coS7Hjc+d6OcufTMtEJObZ8qtx90u9TVBTt2v37ZP6T/DQ+ZL/71Vf9L/Zzl95KWkeS6ne14t5ltOzmWSZW1QLnd5Sx6Gdc2zTLeMhQoZ9ZlKlFX73Y9bZSvrkNDQzIwPJDxP8WeM/eUCxdcGO7/WSgdAgggkEOAYJZdg2A2pPtAtl6siWEDRnqxarCqPV7XdyeC1r4SerK2NjXIxPZmmTja6c2aHqi6w1UniG1prK+42itru+XJV1fLpLGj5T1vm1Dx9bNCBLwCBLPsE0ELRDaY7d8sYnqzrki8eh+m5WtogbHJB2U5weu0zN/bJgXddFZuj2DWymYLrNADQwPSM9gjvQO90jvYm/rZvDfYa953fu4ZSL7nnW+gV+5feb+s7FqZUe5Z42ZJW1PbSEiaJdDLCArLDFV1fUzxFNj7bXvL+fPPj2flqTUCCFgvQDBrfRNWrwL0mK2MrXYSyteLNdFztU+cYQKcn/sG/A8XoCHrBA1Z8wStieEERnq0NlchZC1VjqerlirHcqUIEMyWosYy5QhYGcxuXjsStqaFrxrErkx8VuzQAh1TXeO5ZglctZdrc3s5xCzrEiCYtWt3MOFoMgAtKTDNs2y24FWD2ahNdVIn9XX1pqeuvup/qZ/1d/0sOU9qPp3Ls0za73mWybeOsrfrKbtZX5ay5qprRj2zeLjncdu415nPsxhLt0Ml5t/Uv0n2uW4f6R/qT9t9z3jvGXL4dodHbZemPgggEBMBgtmYNHQp1SSYzVQbHBpOPsxqpNeq04vV6bWaCFiTQwUkhwwoJWTVXqkTR7ekQtYJ7S1pgeoE93AByeEEmhoq35O1lH2n1GUIZkuVY7lSBAhmS1FjmXIEwhXMDid6tnp7unrD12KGFmhsSQauybA1NaSA52FadXb/jSqn7WuxLMFs6eqDw4OpkLSUwDRnb9M84WnQvT31oUktDS3mX2tja+K1oVVaGpOv7veTn2eb955X7pG/vfy3DOzz5p8nU9umJgJSJ/j0BosFwsKCYaQnNC29xVnSJoG7Xr5Lljy+RJ5b/5x0NHfI/2z9P3LazqfZVAXKigACCKQJEMyyQ+QUiHowO6Ahq+vBVuZBV919siFHD1anZ2tvCT1ZNWTVYFWHC3B6s070BK3eh2I11gc7LlcY/lcgmA1DK8SnDASz8WnrsNQ0sGBWhxZwDyuQq6drMTCt40TGeHu3OoFrcmzXtonFrIl5AhR48PUHZdnry6SpsUl2nb6rzJkwJ8CtV35TfYN9xd9q7w4/PbfkFwxMk8t6e+NVvkaZa8wIST1had7gNBmo+glXG+oqMwaz9mA86a6T5KFVD6UqdcKOJ8jxOxwfBBvbiLEA1w0xbnyqjkDEBAhmI9aglayOTcFs/+BQ2tirOg5rqtdqlmECyglZ9db/RLia6M1qhg5I/pz20CvXQ7EaYhiylrIvcoJVihrLlCpAMFuqHMuVJLDiEdm06nkZPeUdItN3LGkVZiEdNsCM4+oe09UzrqufoQW8vVvdD9DSn5vaSi8rS9ZE4KKHL5LLll2Wtu3F/2+xHPCOAypSHn0gUBC32rtv69eHAQU5aWjp7h2atRdpjt6lab1KfYSrQdavGtt6bt1zsvqt1TJn6hwZ1zKuGptgnQikCXDdwA6BAAJRESCYjUpLVqEetQpm9bZ/7blqerOaYQHcQwNk/mx6uG7ul57+Qd8KTsiarTerBq7jXeGq83N9wE+Y9V0pixfgBMvixrOw6ASzFjaarUX+/aEiT/91pPRz9hf51B8ya5MWuHqHGUgGsf09hRV0aIGcgWuyl6uO58rfs8KWFsyhvTudELOrv0sOvOFA0Vvx3dPMMTPl2O2Pzf4wJ/eDnTy32mc8/GmgV/qG+gJXaW5oLvlWe3N7vuu2/GJu3dfb/Jn8CdTqusFfKZk7SgJcN0SpNakLAvEWIJiNd/vnrP3V/35Fblm2QtZ39crsaePk8x94u8yZ0uFbS2/714A128Otcj30St8vJWTV8VVTQwUkhw1w92bNFrTGb7AA300Y6AKcYAXKHfuNEczGfheoLMBgv8hg38i/Af0q6Gr/AAAgAElEQVS5V2T5X0TuPDtzW7P2TPRG1XFenWEHiinRqHGuB2i5hxRIBq4ayI6aUMyamKcKAtqzs+BT7XONM+p6+FPaLfeDPZL6faBXvA9y0h6sQU46XmjGLfONybFKc41RWsKt9u5t6EODmMItQDAb7vaJYum4bohiq1InBOIpQDAbz3bPW+sbHnlNTr760bR5thw/Su489UOJ3qtpD7fKfNCVN3AtOWTVYQJSY7ImH4Jl3hsZQsDdo5WmtF+AEyz729CmGhDM2tRaybKmws9eERN8ZglC9b2Mz3qzzJsMTiu1nkrcat2R7eFZnveaRlnYcLUrsj553rntvuTAdKA3b9jqvuVex0INemqqb0o9sEl7lq7YtCKjCGOax8geM/fIfNhTjoc+5bt1X7fHhIBXgGCWfSJoAa4bghZnewggUC0BgtlqyVq83i9d9Yjc+FjmSb0+wKqUB181NtSJPujK/dCrVOCaHJ/V9GxNDh0wdhQn/BbvPmUVnROssvhY2KdA30sPylB/r7TOnCfS3O5z6QjP7oSdqcAyGWq6A8yCn7mC0LTg0xOoOr1KM7ap4WqWMFWCHWfSVyvrrc8NzSKNzYnXhpbEa98mkU2rMle13QEic/83vferrw3aOXMlxibNCFhdwakTkppepQM9Gbf0V1tNe3bmCzWLuY0+5zyNLeLclu/ehvZgdU+LH1gsVz15Vdp7X9/t63LonEOrXX3WH2MBgtkYN36Nqs51Q43g2SwCCFRcgGC24qT2r/DoKx+Su5ZnuYgUkcb6OvOgq8QQARqmjgSu7mEDnIdijSFktX+HCLAGnGAFiB3nTb3ygMh1R4tseCWhoOHZAReJ7HhYcCqmV2clenFmCzqTPUEL9RzNFa4Gp+B/Sw1NydAzGX7qWKomBHV+d/1sQlLX5+7ANPVzlvV4g1X3vObnHOvMNV7r6mfk75d/QP7YMVreaGiQKYOD8omNXfLBo+8TmTjLv0EFlxgcGsw75mhGiOq+1d71s7vHaKGn3lew+EWtSscKNWFmkbfaZws+W51epUU8yEl7rIZhuu3F22TZqmXS1NAku26xq+w2bbcwFIsyRFiAYDbCjRvSqnHdENKGoVgIIOBbgGDWN1n0F/jhbU/Jz+5+NqOi95w2X7aaRK+y6O8BtashJ1i1s4/clod0vM9+zy3tyTFAbzxJRMNZ99Q6TuSACxO3u7sD03y9PXPOW+A2ey1XmKesIWeLqyeoNwQt8FlaL1JPWOrtYVooMLVwnMmn1j4lB//l4IwWv/6j18vs8bPT3tdenuZfnh6g3vFFc82fs2eqa916m3/QUzG9QZ0gNF/v0ny9Ut1BbENdQ9BVDM32uru7paGhQVpaWkJTJgoSXQGC2ei2bVhrxnVDWFuGciGAgF8Bglm/YjGYf8Pmfjn6in/LQy+tS9X2pD22ka/sk34BGQMKqhiwACdYAYOXsrmhwfSxOr0PPDK3pLsegmSCTc9DkbzzuH/3jvdZ7LJpy2nwGeJb3jVcLKoXprsnaLZemu6ANN/nOXp4ZgSmyd6gpewXEVxGH6jke2zSLE+0X75muSxfuzxDaFzrOGmpb0ltQwPW4YD3Ww0tU71B3b1Kc4w7WjAwdd1qn21eDVqZghMgmA3Omi2JEMyyFwQtwHVD0OJsDwEEqiVAMFst2Qisd/mKDbJ6/UbZdkandHZwMRWBJg13FTa8Kt2vPiGt4zqlfot54S5rNUqnT9XOGlhqD05vsFlE0Fl0IFooSHVvq19keLAata/8Or23vLt/X/uCyGBv5ja3PUCkpT3PrfH5eoYmQ82MHp+u8Ubdn1W+xpFfoz5UyelR6r11PlsvUl/zJANVZ1xSfe3XXtcBT3obvNPb07ml3hucZtxqnyUMLfbW/Yb6+PYmDbhpa7I5gtmasMd2owSzsW36mlWcYLZm9GwYAQQqLEAwWyToxo0bpb+/XyZMmFDkEvbPxgmW/W1oTQ3uPEtk6YUjxd1iJ5HDrxVpm1iZKmQ8ub2IYDNrL06fy2UErZ6QMzUGaL9IDUKgknA1yHGP6Zl227tn/E/zmfs97+c5fk8FmEXOnyqPa/5c431qpe88W2TpBenVn72fyGFXl0QSx4W0N6k3JHWHmt6epqkHMmW5Rb+YXqk6z/BwsL2g9YFKuULSgrfRN7SkHgD19Lqn5XfLf5exmyzadZHsMXOPtG3EcV+iztUTIJitni1rzhTguoG9ImgBgtmgxdkeAghUS4BgtoCsntQuXLhQnnzySTPn1KlT5fzzz5fOzs5qtUlo1ssJVmiaIrwFSd1mXmRgmdHzs0/krRUi9/4os47TdxSZPs9123yWUDMVuDqf5ehZGnCgU1qDeW5vT3ugUbbA0/2QI9fnJtQsIQzNFm5mrKtZxPP079LqGoKl7jtPVj57hwwO9cuWW+4msmCRSLO9Y2hr786cY416bq+vRO/SmvQmrW8eeYBTgVvtc/YYLXCrvTuI1YdGVWr62n1fk5uevym1ugO2PkAWf2BxpVbPehDIKkAwy44RpADXDUFqsy0VIJhlP0AAgagIEMwWaMklS5bIzTffLJdccom0tbXJSSedJDNmzJBzzjknKvtAznpwglXDJtYHshQaW7OoW9VzhZkVel/HG7Vh0oDFe4t5vie5e8feDKLnZwVDIBuapJZlfH7987Jo6SJ5Ys0TphjT2qfJ13b9miyYsaAixdJxQvXhTfkC0Er3LtUerEFOdXV1iZ6eDS0ZY5RW8lZ77ZnqbKPOwgd/udvktU2vyYtvvChbTd5Kthi9RZDNxbZiKkAwG9OGr1G1uW6oEXyMN0swG+PGp+oIREyAYLZAgx522GEyf/58OfbYY82ct956q+kxe/vtt4temEZ1+svdZ8qdr94jGwd75e2jOuUz7/uabDXzg/ZXNzWOp46rmRxb0/vQoIxemNkeXlShYDMtfPWs0wZt7T2ZNcR0P7TI3bPT+36TSNdqWfb8bXLF2DHyfFOTdAwNyb5d3XL46FkiOx3pum2+1Nvam2yQpIxZBDRszPZvcHhQhvS/HJ9nfd81//kPnS8PrXoobYsTWyfKqTufKr7GJR3sGQlgXb1SdSzUoKem+qb0kDTZo7So4DRXuOrqXeq9dV+3x+RfYN26dTJ+/Hj/C7IEAiUIEMyWgMYiJQsQzJZMx4IlChDMlgjHYgggEDoBgtkCTbLffvvJySefLPqq0xNPPGF+v+6662Ts2LGha9BKFOjWe8+W01+4Pm1VM4fq5OajHs+z+mGRjB6c5YSX7jA034OPSthGwD3LSm6TQj069Xb1XL1Afb2fL/D0bsMzb8mVG1lwYGhA9v71e2S153uOc7b6mHzsQ9Xrma69GosK9vwEgHnmNWGiN0j0s25d1uf8gzJoxuXMuu1soabP9ecqj24vY7s+1x300+krsCunVqE9OzUQTYWZhR7OVOC2/HzhqvNgKB0PlSn8AgSz4W+jKJWQYDZKrRn+uhDMhr+NolZCgtmotSj1QSC+AgSz+aLG4WHZZ599ZNGiRbJgQeIW12effVaOP/54ufLKK2X69Ony+OP5wko7d6wrHj5e7qh7K6PwcwaGZfSwRg7DImbMTn0dSv/diirXidRpLfRVwwzn93rzvv4+nHx1Ph/5XZcbmc+7Hvd8IvWu9WTbXmK7ie25yxHdntjZdo+uwS55efPLGR91NHbI5ObJYgJUGTJBn/tVQ04nXE2FrPnmc30W9G3fVvxvEcJC1ku9uTNBXzV41KOP+9X9eb75zHKudej+1j/cn1Hj3cbvJu0N7dJc3yzNdc2ivULNz8nfnZ+b6lzvuz5z5tfPmRDIJqAPEu3o6AAHgUAEenp6pKGhQZqaOCYFAh7zjQwNDcnmzZulvd3e8dpj3oTWVb+rq0tGjRol9fXR/XJ67ty51rULBUYAAf8CBLMFzLSn7CmnnCL77ruvmdPbY/a0007zrx7yJVZvfZv8f86pQt5KFK8SAnXmi4ZEEJ76eVij8jrzu3nf/XNy/tRnJS6v32kktuzajrOuIrbvXj71s1Nep4xaL++6SixvrepbiTbOto7l05fLyxPTvwyY0DVBdnl+l2ptkvUiYAT6+/sJydgXAhPQHozmS6sIhxaBYbKhggLmTpnBQWlsrNyDEwtulBliLTAwMGC+fIry8ILnnnturNuYyiMQFwGC2QItrWPMam/ZY445xswZhzFmL/jjQXL5xqczZBZvc5hM7XyXiD6kSMcXbHC91jXE5f8Z6llhgTc3vykL712YsdaPb/NxOWT2IamejtpTsqh/yZ6Rhea1/UFCFW6G2K3uBw/+QJa+tlT6B/tlxyk7ypfnfdk8BIwJgWoKMJRBNXVZt1eAoQzYJ4IUYCiDILXZlgowlAH7AQIIREWAYLZAS1566aVyyy23iL62tbXJiSeeKDNmzJBzzqne2Je13rnWrn1GTrjxf+WJuoFUUT7XMVtO+UT6uLO1Lifbj47AkmVL5OKHL05VaPfpu8vFe1xsxulkQqBaAr29vaZ3jx7bmRAIQoBgNghltuEIEMyyLwQpQDAbpDbbIphlH0AAgSgJEMwWaM1NmzbJ6aefLs8884yZc/LkyXLBBReY16hP//nv9bLurVXyjpm7yvTpO0W9utSvxgLd/d3y1KqnZNKYSTJjzIwal4bNx0GAYDYOrRyuOhLMhqs9ol4agtmot3C46kcwG672iENp6DEbh1amjgjEQ4Bgtsh23rBhg/T19UlnZ2eRS9g/GydY9rehbTXgBMu2FrO7vASzdrefjaUnmLWx1ewtM8GsvW1nY8m5brCx1ewuM9cNdrcfpUcAgREBgln2hpwCnGCxcwQtwAlW0OLx3h7BbLzbvxa1J5ithXp8t0kwG9+2r0XNuW6ohXq8t8l1Q7zbn9ojECUBgtkotWaF68IJVoVBWV1BAU6wChIxQwUFCGYriMmqihIgmC2KiZkqJEAwWyFIVlOUANcNRTExUwUFuG6oICarQgCBmgoQzNaUP9wb5wQr3O0TxdJxghXFVg1vnQhmw9s2US0ZwWxUWzac9SKYDWe7RLVUXDdEtWXDWy+uG8LbNpQMAQT8CRDM+vOK1dycYMWquUNRWU6wQtEMsSkEwWxsmjo0FSWYDU1TxKIgBLOxaObQVJLrhtA0RWwKwnVDbJqaiiIQeQGC2cg3cekV5ASrdDuWLE2AE6zS3FiqNAGC2dLcWKp0AYLZ0u1Y0r8Awax/M5YoXYDrhtLtWLI0Aa4bSnNjKQQQCJ8AwWz42iQ0JeIEKzRNEZuCcIIVm6YORUUJZkPRDLEqBMFsrJq75pUlmK15E8SqAFw3xKq5Q1FZrhtC0QwUAgEEKiBAMFsBxKiughOsqLZseOvFCVZ42yaKJSOYjWKrhrtOBLPhbp+olY5gNmotGu76cN0Q7vaJYum4bohiq1InBOIpQDAbz3YvqtacYBXFxEwVFOAEq4KYrKqgAMFsQSJmqLAAwWyFQVldXgGCWXaQIAW4bghSm22pANcN7AcIIBAVAYLZqLQk9UAAAQQQQAABBBBAAAEEEEAAAQQQQAABawQIZq1pKgqKAAIIIIAAAggggAACCCCAAAIIIIAAAlERIJiNSktSDwQQQAABBBBAAAEEEEAAAQQQQAABBBCwRoBg1pqmKr+gmzdvFh3fbtq0aVJXV5exwuHhYVm1apVMmjRJGhsbs36u40dl+6z80rGGqAno/rRmzRppamqSsWPHZq3em2++KaNHj5ZRo0Zl/Vz3t/r6+qz7qy7Q399v9tnJkydLc3Nz1Aipj0+BDRs2SE9Pj0yZMiXrkn19feYYqPtLrmOg7re6zzEhUEhgYGBA3njjDZk4caK0tLSUdIzTdeT6m6rjg+o+O27cuEJF4fOYCBQ6xm3cuNH8XZwwYUJWET2+5TrGbdq0Sbq6unIeH2NCTDVdAuVcN1Ti+EhjxEug3OuGQsdHXT/XsfHap6gtAjYJEMza1FpllPWkk06SJ5980qxBA6wFCxbIaaedllrjPffcI9///vfNHyydPv/5z8uhhx6atsUbb7xRLrvsMtFX96TL3XXXXWnvbbHFFnLFFVeUUWIWtVngn//8p3z7299O7U8zZsyQU045RbbffntTrRdffFG+8pWvmEH7ddptt93krLPOSgso9ILgiCOOkM985jPy0Y9+NI3jhRdeMOt/9dVXzfuf+9zn5FOf+pTNZJS9DAEN+L/whS+k9icNstz7jZ6M/+xnP5MbbrghdQz87ne/KzvuuGNqqzqP7oM66b7lTNdff7384he/yCjd3Llz5bzzziuj1Cxqs8Cll14q1157baoKemz75je/mQpRiznGvfzyy3L00UfLlVdeKdOnT0+tS79s+s53viPPPPOMeU+/TP3qV78q73znO20mo+xlCBQ6xmmIv3DhwtR53tSpU+X888+Xzs7Ogsc4Df+/8Y1vyMMPP2zm1S9K9fjo/L0uo9gsarFAOdcNlTg+WkxH0UsQKOe6odDx0SlOruvYEorLIggggEDFBQhmK04azhX++Mc/ln333Vdmzpwp//rXv2Tx4sUmVNBwQQOwj3/84/LJT35SPv3pT8vf/vY3+dGPfiSXX365aKD20ksvyZe//GXTk0JP2L3B7Pe+9z157bXX0oLe1tZW0QsDpngK3H///aYn6/z5800PxnPOOUeGhoZMOKaThmhtbW3m4m/lypVywgknmH9OAKv73+23327m1YsDdzCr69X9VEM13Wc1rNB9OFcPoXi2QLxqrb0W//SnP8mBBx4o7e3tJui66aabzHt6zHrkkUfk9NNPN18+6THvoosuknvvvVf+/Oc/m56zt956q/zkJz8xvRPf9773pQWz2ots9erVaaAaYsyZM0e+/vWvxwua2qYErr76annb294mO+ywg7zyyivmi6eDDjrIfElUzDFOvzh4/fXXzbzeYFb3Vf3SSv9ua+/ts88+2+yDP//5z2mBmAoUOsYtWbJEbr75ZrnkkkvM31b9u6nnb/q3V6d8xzg9Vuq+pX93Z8+ebb4UePTRR0X38Vw9wWPaDLGqdjnXDeUeH2MFTWWNQDnXDYWOj4WuY2kCBBBAIAwCBLNhaIUalEGDrg9/+MNy3HHHyd13322CWj2pd24H1wvMj33sY6bXmd6OpBeFd955p1xzzTVZg1m9fURDDyYEsgloAKbB11//+lfRoOvggw+WH/zgBzJv3jwzu14IauCqFwI66e3mvb29cuyxx5re2+5gVpfTUE2/IGhoaAAcgQwBDco0INNj0k477STnnnuuPP3006K9eHTSk/jDDz9cLrzwQnnXu94l2ttMg7ALLrjABBHuHrPelT/22GPmS6hf/vKX5osuJgRUQMN6DVo1INO/h4WOcXq80/l1X/IGs5/97GdF7zrRL650+uMf/2juQPF+KYp8fAW8x7jDDjvMfBGqfzN10iBWe8zqF5z65VO+Y5zub9o7Vu9i0Wnt2rXmjik9Hr773e+OLzI1TxPwc93gpfN7fIQeAb/XDW4x7/Gx0HUs2ggggEAYBAhmw9AKAZdBb7E85phjZNGiRWZIA/1mWwNXvWXXmbS3hfYGcg93cMstt5hberP1mNVeuHoCr7cQ6zp32WWXgGvF5sIscMYZZ4jetvv73/9enn32WTn++OPNz85tlhpM3HbbbeY996RfDmjA5g5mDznkEPMFgi6rty9ts802pgcuPbTDvAcEWzZn+AE9tmlPar0NXMc5dvdw3XvvvVPHQKd0GsjqCXy+YFb3x7e//e0miGNCQAV0n/nEJz4hH/zgB83fzGKPcU7vf28wq0MD6ZcKejeA9gL/6U9/au4O0GMfEwIq4D3G7bfffnLyySeLvur0xBNPmN+vu+66tDHesx3j9EuqnXfe2fT6diY9Pupxc5999gEcATP8VCnXDeUcH2GPt0Cp1w3Zjo+OZK7r2HhLU3sEEAiLAMFsWFoioHJob0Ud005vddMeX3qbpPbw0V6z7lBMT8j1lmC9hbLQHzQNanXMTx2+4L///a/5d+qpp8r+++8fUK3YTJgFdP/QnrC6L73//e9P3VbuvmDUAO13v/tdRuifLZjVC8atttpKPvKRj5iA9je/+Y3pXfuHP/zBPGiMKd4C2jP2S1/6krkjQL9g0kmD+1mzZqV90aQBxoknnmj2I2cqFMxqT229Nfi3v/1tzgeMxVs/nrXXsWUffPBB+fWvf20enOQMnVHoGJcrmNWxs3X4IL0VXceG1zsDtHe3fgnFhID3GKfjY2uA6nzZrkLOlwPe0D/bMe5Xv/qVOf/Tcdp1PONly5bJHXfcQTDLrmYEyrlu0OVLPT7CH1+Bcq4bsp0DFrqOja80NUcAgTAJEMyGqTWqXBYdh1N7RKxZs8bc0jt+/HizxXJ7zHqLrd9y6q2cjIdX5Qa1YPVLly6Vb33rW+bLAO3x5b5gLLXHrAazOgajvuqkXwro7Zsa/m677bYWqFDEaglooKVjFW+33XaiY1/rF0866RdN2pv/zDPPTG3ab49ZHSNZg4v3vve9qVt+q1UP1muPgA7Rordc6m3jzsOSyu0xqz0Yd999d/niF78oGzduNF9qaQ9IHW6I4Vvs2TeqUdJcxzj9oknP7/RZAjr56TGrwa5+sfn3v//dLKt3n/zjH/9gKINqNKBl6yz3uqGc46NlVBS3QgLlXDfkOj46RaPHbIUaidUggEBVBAhmq8IavpXq+Il6W5v2LNQTJSeU1ZI6Y8zqHyynx6H2VNRxZnWMWb9/0HRcsscff1y0FwZTfAWcMe502AK9zdeZnPEXf/jDH8p73vMe87b2QtRxP50xZp15s/WY1bH09tprr9RDdpwQxB2MxFc9vjXXJ9jrMU7HlD3rrLPSAiwdY1b3Ex2KRSenp6Izxqyjlq/HrD4gRx8a5gyPEF9paq4CGmbpw5L0YZn6IE0dq9jvMS5bj1ntnaYP49QvOPfcc0+zyv/85z8mdNMhDfThTEzxFMh3jNO/izqMlN5urpN3jNlijnHOPPoAMX1wovPwxHhqU+tyrhsqcXykBeInUM51Q77jo9/r2PjJU2MEEAiDAMFsGFqhymXQhz4ceeSRoj2+9GEio0ePNlvU3mTTp083D4XQcez0SffaU0cvNPWC8/LLLze3UuoJlo6hp8GtDn+gY5vpsk7PHQ3EdAxQvb18+fLlpneaBmp6+zBTPAVuuOEGEyLoPuWECyqh433qMBraw7Wjo8M89EsfgKPhrf7T/VCnwcFBs7/qmIq67+rt5s6XBpdddpm5YNSLR12HfhHw73//24ylN2rUqHiCx7zWeru3DlugQb++6sNudNJ9Tfe5hx9+WBYuXGjG7dxhhx3MPnPfffeZno46r+5rus/pFwT6qj0UGxsbU+vp6+szD3PS3mjai5EJAR2v+IEHHjBjDW+99dYpEO1tqPtOoWOc/k1duXKl+YJJhxPacsstzXI66d9PvaVc91fdh3V/1W3pWPD0mI3nvlfoGKd3Qek5mr7qPqPDtOj5mx7TdMp3jNNzPH3Aq/491f1M7zbQuwP0by9TPAXKvW4o9/gYT/V417qc64ZCx8dC17Hxlqf2CCAQFgGC2bC0RBXL4fTK8W5Cx+fUWyN1ch424sxz1FFHifbA0Em/hdTbg92T9krTi0adNMzV3o7OpLf66sWqjjnLFE8B7XmowZd30rBee2Lr8APaA6yrq8vMovuMhmFO+KpPh9Ze1+5JLzj1oUsakukt6Y8++qj5WMNYvfjUwI0pngIaSGh45Z2c45SelF988cWivV510nBr8eLFMm/ePPO73sarXzq5p+OOO86EsTpdddVVomM1XnvttSa8YEJAw1Pn+OXW0JBVv6QsdIzTW8/1SwBncv891tvQ9Xin47XrvqrBrx47586dC3xMBQod47SntQ7xo+drOulYx3pM1NdCxzjny3mdT/fDI444Qg499NCYSlNtFSj3uqHc4yOtED+Bcq4bCh0fC13Hxk+bGiOAQBgFCGbD2Co1KpP2qFixYoV5qI3fhyjpOHhr1641FwH0WqxRA1q4WT3514fMOb24/VRBb7PTi1HtWeb0kPSzPPPGT6Cnp8ccp9hn4tf2tapxOcc4Pb5pz1odH5kJgWIEdKgg/fKys7OzmNlT8+idK3reN3HiRF/LMXO8Bcq5bnAC4FLPAeMtH9/al/M3Nb5q1BwBBGwQIJi1oZUoIwIIIIAAAggggAACCCCAAAIIIIAAAghESoBgNlLNSWUQQAABBBBAAAEEEEAAAQQQQAABBBBAwAYBglkbWokyIoAAAggggAACCCCAAAIIIIAAAggggECkBAhmI9WcVAYBBBBAAAEEEEAAAQQQQAABBBBAAAEEbBAgmLWhlSgjAggggAACCCCAAAIIIIAAAggggAACCERKgGA2Us1JZRBAAAEEEEAAAQQQQAABBBBAAAEEEEDABgGCWRtaiTIigAACCCCAAAIIIIAAAggggAACCCCAQKQECGYj1ZxUBgEEEEAAAQQQQAABBBBAAAEEEEAAAQRsECCYtaGVKCMCCCCAAAIIIIAAAggggAACCCCAAAIIREqAYDZSzUllEEAAAQQQQAABBBBAAAEEEEAAAQQQQMAGAYJZG1qJMiKAAAIIIIAAAggggAACCCCAAAIIIIBApAQIZiPVnFQGAQQQQAABBBBAAAEEEEAAAQQQQAABBGwQIJi1oZUoIwIIIIAAAggggAACCCCAAAIIIIAAAghESoBgNlLNSWUQQAABBBBAAAEEEEAAAQQQQAABBBBAwAYBglkbWokyIoAAAggggAACCCCAAAIIIIAAAggggECkBAhmI9WcVAYBBBBAAAEEEEAAAQQQQAABBBBAAAEEbBAgmLWhlSgjAggggAACCCCAAAIIIIAAAggggAACCERKgGA2Us1JZRBAAAEEEEAAAQQQQAABBBBAAAEEEEDABgGCWRtaiTIigAACCCCAAAIIIIAAAggggEPstDUAAAXLSURBVAACCCCAQKQECGYj1ZxUBgEEEEAAAQQQQAABBBBAAAEEEEAAAQRsECCYtaGVKCMCCCCAAAIIIIAAAggggAACCCCAAAIIREqAYDZSzUllEEAAAQQQQAABBBBAAAEEEEAAAQQQQMAGAYJZG1qJMiKAAAIIIIAAAggggAACCCCAAAIIIIBApAQIZiPVnFQGAQQQQAABBBBAAAEEEEAAAQQQQAABBGwQIJi1oZUoIwIIIIA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- }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.index.openrank.getRepoOpenrank({labelIntersect: ['Foundation', ':regions/China'], startYear, startMonth, endYear, endMonth, groupBy: 'Foundation', groupTimeRange: 'year', limit: -1 }).then(data => {\n", - " openDigger.render.plotly(data.map(row => {\n", - " return { x, y: row.openrank, mode: 'scatter', name: row.name };\n", - " }), {title: `OpenRank for foundations from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "- getUserOpenrank\n", - "\n", - "This function will return the user OpenRank with the config param.\n", - "\n", - "Here is an example of k8s-ci-robot and vscode-triage-bot by year from 2015 to 2021." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "mode": "scatter", - "name": "k8s-ci-robot", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 331.37, - 2861.76, - 7367.25, - 10457.77, - 11469.66, - 10398.08 - ] - }, - { - "mode": "scatter", - "name": "vscode-triage-bot", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - 0, - 0, - 0, - 0, - 0, - 2581.62, - 6889.35 - ] - } - ], - "layout": { - "autosize": true, - "title": { - "text": "OpenRank for users from 2015 to 2021" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.35641096649127657, - 6.356410966491277 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - -946.5253398058253, - 12416.185339805825 - ], - "type": "linear" - } - } - }, - "image/png": 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" - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.index.openrank.getUserOpenrank({userLogins: ['k8s-ci-robot', 'vscode-triage-bot'], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year'}).then(data => {\n", - " openDigger.render.plotly(data.map(row => {\n", - " return { x, y: row.openrank, mode: 'scatter', name: row.name };\n", - " }), {title: `OpenRank for users from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Metric\n", - "\n", - "OpenDigger also provides lots of metric implementations to dive into repos.\n", - "\n", - "Many metrics are from CHAOSS community." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "tags": [] - }, - "source": [ - "#### Code Change Commits\n", - "\n", - "Code Change Commits is a CHAOSS metric，refer to https://chaoss.community/metric-code-changes/。\n", - "\n", - "Code Change Commits metric has following options:\n", - "\n", - "- messageFilter: A regular expression to filter the commit by commit message like '^feat:.\\*' or '^(docs:|refactor:).\\*'. Default: null." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "mode": "scatter", - "name": "China", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "165", - "1104", - "4317", - "8050", - "11199", - "20958", - "29738" - ] - }, - { - "mode": "scatter", - "name": "America", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "400", - "519", - "923", - "2202", - "7261", - "11563", - "16648" - ] - } - ], - "layout": { - "autosize": true, - "title": { - "text": "Global commits by year 2015-2021" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.35718374356038934, - 6.357183743560389 - ], - "type": "category" - }, - "yaxis": { - "autorange": true, - "range": [ - -2275.490291262136, - 32178.490291262136 - ], - "type": "linear" - } - } - }, - "image/png": 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" - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.metric.chaoss.codeChangeCommits({ labelIntersect: ['Region'], startYear, startMonth, endYear, endMonth, groupBy: 'Region', groupTimeRange: 'year', limit: -1, options: { messageFilter: '^feat:.*' }, order: 'DESC' }).then(data => {\n", - " openDigger.render.plotly(data.filter(row => row.name != 'Others').map(row => {\n", - " return {\n", - " x,\n", - " y: row.count,\n", - " mode: 'scatter',\n", - " name: row.name\n", - " };\n", - " }), {title: `Global commits by year ${startYear}-${endYear}`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Issues New\n", - "\n", - "Issues new is a metric from CHAOSS, refer to https://chaoss.community/metric-issues-new/." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Issues New metric ratio value for Microsoft is [\"2.8%\",\"8.6%\",\"12%\",\"13%\",\"18%\",\"24%\",\"21%\"]\n" - ] - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ - { - "mode": "scatter", - "name": "Microsoft", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "21689", - "66085", - "94056", - "103244", - "135739", - "185216", - "161741" - ] - }, - { - "mode": "scatter", - "name": "Google", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "47761", - "63235", - "72145", - "75606", - "88910", - "100646", - "74262" - ] - }, - { - "mode": "scatter", - "name": "Amazon", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "4400", - "5971", - 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" + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", + "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", + "openDigger.index.openrank.getRepoOpenrank({labelIntersect: ['Foundation', ':regions/China'], startYear, startMonth, endYear, endMonth, groupBy: 'Foundation', groupTimeRange: 'year', limit: -1 }).then(data => {\n", + " openDigger.render.plotly(data.map(row => {\n", + " return { x, y: row.openrank, mode: 'scatter', name: row.name };\n", + " }), {title: `OpenRank for foundations from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", + "});" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "- getUserOpenrank\n", + "\n", + "This function will return the user OpenRank with the config param.\n", + "\n", + "Here is an example of `afc163` and `wu-sheng` by year from 2015 to 2021.\n", + "\n", + "> Note: All accounts under ':bot' label will not be included in the global OpenRank calculation." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ { "mode": "scatter", - "name": "Alfresco", + "name": "wu-sheng", "x": [ "2015", "2016", @@ -4010,18 +1078,18 @@ "2021" ], "y": [ - "172", - "1049", - "603", - "220", - "401", - "212", - "178" + 2.77, + 45.88, + 215.35, + 408.99, + 787.5, + 1028.6, + 1055.47 ] }, { "mode": "scatter", - "name": "Kaltura", + "name": "afc163", "x": [ "2015", "2016", @@ -4032,18 +1100,94 @@ "2021" ], "y": [ - "306", - "387", - "268", - "247", - "207", - "246", - "162" + 211.51, + 766.13, + 1316.4, + 1268.45, + 2510.94, + 2766.34, + 1570.34 ] + } + ], + "layout": { + "autosize": true, + "title": { + "text": "OpenRank for users from 2015 to 2021" + }, + "xaxis": { + "autorange": true, + "range": [ + -0.36103723404255317, + 6.361037234042553 + ], + "type": "category" }, + "yaxis": { + "autorange": true, + "range": [ + -225.2916019417476, + 2994.4016019417477 + ], + "type": "linear" + } + } + }, + "image/png": 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" + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", + "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", + "openDigger.index.openrank.getUserOpenrank({idOrNames: [{ platform: 'GitHub', userLogins: ['afc163', 'wu-sheng'] }], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year'}).then(data => {\n", + " openDigger.render.plotly(data.map(row => {\n", + " return { x, y: row.openrank, mode: 'scatter', name: row.name };\n", + " }), {title: `OpenRank for users from ${startYear} to ${endYear}`, xaxis: {type: 'category'}});\n", + "});" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Metric\n", + "\n", + "OpenDigger also provides lots of metric implementations to dive into repos.\n", + "\n", + "Many metrics are from CHAOSS community." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "tags": [] + }, + "source": [ + "#### Code Change Commits\n", + "\n", + "Code Change Commits is a CHAOSS metric，refer to https://chaoss.community/metric-code-changes/。\n", + "\n", + "Code Change Commits metric has following options:\n", + "\n", + "- messageFilter: A regular expression to filter the commit by commit message like '^feat:.\\*' or '^(docs:|refactor:).\\*'. Default: null." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ { "mode": "scatter", - "name": "RT-Thread", + "name": "United States of America", "x": [ "2015", "2016", @@ -4054,18 +1198,18 @@ "2021" ], "y": [ - "40", - "25", - "48", - "149", - "186", - "191", - "148" + "402", + "854", + "1975", + "3969", + "9489", + "14437", + "21235" ] }, { "mode": "scatter", - "name": "KodeRover", + "name": "Germany", "x": [ "2015", "2016", @@ -4078,16 +1222,16 @@ "y": [ "0", "0", + "2", "0", "0", - "0", - "0", - "125" + "1475", + "5343" ] }, { "mode": "scatter", - "name": "Couchbase", + "name": "China", "x": [ "2015", "2016", @@ -4098,18 +1242,18 @@ "2021" ], "y": [ - "1662", - "1857", - "1725", - "1156", - "386", - "137", - "119" + "0", + "98", + "38", + "21", + "249", + "401", + "1603" ] }, { "mode": "scatter", - "name": "Varnish", + "name": "India", "x": [ "2015", "2016", @@ -4120,18 +1264,18 @@ "2021" ], "y": [ - "115", - "457", - "252", - "224", - "140", - "138", - "103" + "3", + "4", + "2", + "7", + "25", + "76", + "1355" ] }, { "mode": "scatter", - "name": "Goodrain", + "name": "Czech Republic", "x": [ "2015", "2016", @@ -4144,38 +1288,16 @@ "y": [ "0", "0", - "23", - "226", - "315", - "116", - "95" - ] - }, - { - "mode": "scatter", - "name": "Mulesoft", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "590", - "667", - "372", - "174", - "131", - "109", - "76" + "2", + "35", + "41", + "416", + "241" ] }, { "mode": "scatter", - "name": "Sourcefire", + "name": "Korea, Republic of", "x": [ "2015", "2016", @@ -4189,15 +1311,15 @@ "0", "0", "0", - "12", + "0", + "3", "38", - "36", - "74" + "13" ] }, { "mode": "scatter", - "name": "RedHat", + "name": "United Kingdom of Great Britain and Northern Ireland", "x": [ "2015", "2016", @@ -4211,15 +1333,86 @@ "0", "0", "0", - "90", - "74", - "164", - "72" + "0", + "0", + "1", + "0" ] + } + ], + "layout": { + "autosize": true, + "title": { + "text": "Global commits by year 2015-2021" }, + "xaxis": { + "autorange": true, + "range": [ + -0.3707865168539326, + 6.370786516853933 + ], + "type": "category" + }, + "yaxis": { + "autorange": true, + "range": [ + -1752.4029126213593, + 22987.40291262136 + ], + "type": "linear" + } + } + }, + "image/png": 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" + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", + "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", + "openDigger.metric.chaoss.codeChangeCommits({ labelIntersect: ['Region'], startYear, startMonth, endYear, endMonth, groupBy: 'Region', groupTimeRange: 'year', limit: -1, options: { messageFilter: '^feat:.*' }, order: 'DESC' }).then(data => {\n", + " openDigger.render.plotly(data.filter(row => row.name != 'Others').map(row => {\n", + " return {\n", + " x,\n", + " y: row.count,\n", + " mode: 'scatter',\n", + " name: row.name\n", + " };\n", + " }), {title: `Global commits by year ${startYear}-${endYear}`, xaxis: {type: 'category'}});\n", + "});" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "#### Issues New\n", + "\n", + "Issues new is a metric from CHAOSS, refer to https://chaoss.community/metric-issues-new/." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Issues New metric ratio value for Microsoft is [\"2.7%\",\"8.2%\",\"12%\",\"14%\",\"18%\",\"24%\",\"21%\"]\n" + ] + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ { "mode": "scatter", - "name": "Terminus", + "name": "Microsoft", "x": [ "2015", "2016", @@ -4230,18 +1423,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "60" + "25982", + "78214", + "115520", + "129480", + "170501", + "234603", + "204629" ] }, { "mode": "scatter", - "name": "Talend", + "name": "Google", "x": [ "2015", "2016", @@ -4252,18 +1445,18 @@ "2021" ], "y": [ - "0", - "85", - "109", - "22", - "9", - "29", - "56" + "50126", + "65796", + "75105", + "81419", + "98881", + "113219", + "82629" ] }, { "mode": "scatter", - "name": "Qunar", + "name": "Amazon", "x": [ "2015", "2016", @@ -4271,21 +1464,21 @@ "2018", "2019", "2020", - "2021" - ], - "y": [ - "0", - "0", - "0", - "13", - "202", - "54", - "47" + "2021" + ], + "y": [ + "4520", + "6110", + "8899", + "14126", + "19836", + "28502", + "27858" ] }, { "mode": "scatter", - "name": "Vipshop", + "name": "Meta", "x": [ "2015", "2016", @@ -4296,18 +1489,18 @@ "2021" ], "y": [ - "4", - "91", - "316", - "401", - "350", - "127", - "46" + "14643", + "18893", + "24545", + "25925", + "29122", + "46031", + "26658" ] }, { "mode": "scatter", - "name": "Nicira", + "name": "Elastic", "x": [ "2015", "2016", @@ -4318,18 +1511,18 @@ "2021" ], "y": [ - "62", - "57", - "57", - "94", - "62", - "20", - "36" + "8502", + "10377", + "10083", + "11713", + "20728", + "23982", + "22528" ] }, { "mode": "scatter", - "name": "Bytebase", + "name": "VMWare", "x": [ "2015", "2016", @@ -4340,18 +1533,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "34" + "6719", + "13359", + "19765", + "17936", + "19710", + "22555", + "21974" ] }, { "mode": "scatter", - "name": "Acquia", + "name": "Mozilla", "x": [ "2015", "2016", @@ -4362,18 +1555,18 @@ "2021" ], "y": [ - "101", - "123", - "77", - "83", - "80", - "52", - "19" + "16626", + "17945", + "22817", + "22514", + "34499", + "32370", + "21246" ] }, { "mode": "scatter", - "name": "Cloud Wise", + "name": "Alibaba", "x": [ "2015", "2016", @@ -4384,18 +1577,18 @@ "2021" ], "y": [ - "0", - "0", - "10", - "1", - "0", - "0", - "18" + "1859", + "6544", + "9406", + "11358", + "17734", + "16527", + "16420" ] }, { "mode": "scatter", - "name": "Douban", + "name": "IBM", "x": [ "2015", "2016", @@ -4406,18 +1599,18 @@ "2021" ], "y": [ - "87", - "153", - "104", - "42", - "23", - "43", - "17" + "301", + "1695", + "3753", + "7823", + "16243", + "19935", + "15069" ] }, { "mode": "scatter", - "name": "Pentaho", + "name": "HashiCorp", "x": [ "2015", "2016", @@ -4428,18 +1621,18 @@ "2021" ], "y": [ - "33", - "39", - "48", - "37", - "27", - "38", - "14" + "4127", + "6323", + "6913", + "5949", + "7407", + "10777", + "14720" ] }, { "mode": "scatter", - "name": "GAAS", + "name": "Baidu", "x": [ "2015", "2016", @@ -4450,18 +1643,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "130", - "65", - "9" + "5678", + "6953", + "10306", + "9833", + "7945", + "11104", + "13178" ] }, { "mode": "scatter", - "name": "ZStack", + "name": "Docker", "x": [ "2015", "2016", @@ -4472,18 +1665,18 @@ "2021" ], "y": [ - "0", - "0", - "43", - "17", - "16", - "16", - "9" + "9833", + "13776", + "12975", + "8687", + "8176", + "10566", + "7793" ] }, { "mode": "scatter", - "name": "DataCanvas", + "name": "Tencent", "x": [ "2015", "2016", @@ -4494,18 +1687,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "7" + "76", + "718", + "3080", + "5117", + "8251", + "8874", + "7678" ] }, { "mode": "scatter", - "name": "Galaxy Future", + "name": "PingCAP", "x": [ "2015", "2016", @@ -4516,18 +1709,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "7" + "223", + "859", + "1538", + "1969", + "3922", + "7595", + "7567" ] }, { "mode": "scatter", - "name": "Linux China", + "name": "Adobe", "x": [ "2015", "2016", @@ -4538,18 +1731,18 @@ "2021" ], "y": [ - "23", - "21", - "192", - "101", - "24", - "10", - "7" + "5078", + "6928", + "5820", + "6690", + "10213", + "11368", + "7315" ] }, { "mode": "scatter", - "name": "SequoiaDB", + "name": "NVIDIA", "x": [ "2015", "2016", @@ -4560,18 +1753,18 @@ "2021" ], "y": [ - "1", - "4", - "0", - "47", - "77", - "8", - "6" + "410", + "943", + "1241", + "2068", + "4491", + "7002", + "7192" ] }, { "mode": "scatter", - "name": "EasyCorp", + "name": "Ant group", "x": [ "2015", "2016", @@ -4582,18 +1775,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "2" + "8", + "726", + "2279", + "5251", + "6638", + "9628", + "6787" ] }, { "mode": "scatter", - "name": "ForgeRock", + "name": "WordPress", "x": [ "2015", "2016", @@ -4604,14 +1797,18 @@ "2021" ], "y": [ - "1", - "0", - "1" + "194", + "394", + "2315", + "5300", + "4025", + "4902", + "5299" ] }, { "mode": "scatter", - "name": "EnterpriseDB", + "name": "Fit2Cloud", "x": [ "2015", "2016", @@ -4622,83 +1819,18 @@ "2021" ], "y": [ - "5", "0", - "5", - "4", - "2", - "1", - "1" + "155", + "521", + "866", + "1154", + "2788", + "4485" ] - } - ], - "layout": { - "autosize": true, - "title": { - "text": "Issues new metric for companies from 2015 to 2021 by year" - }, - "xaxis": { - "autorange": true, - "range": [ - -0.357966302098729, - 6.357966302098729 - ], - "type": "category" }, - "yaxis": { - "autorange": true, - "range": [ - -15284.815533980583, - 200500.81553398058 - ], - "type": "linear" - } - } - }, - "image/png": 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" - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", - "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.metric.chaoss.issuesNew({ labelIntersect: ['Company'], startYear, startMonth, endYear, endMonth, groupBy: 'Company', groupTimeRange: 'year', limit: -1, order: 'DESC' }).then(data => {\n", - " console.log(`Issues New metric ratio value for ${data[0].name} is ${JSON.stringify(data[0].ratio)}`);\n", - " openDigger.render.plotly(data.filter(row => row.name != 'Others').map(row => {\n", - " return {\n", - " x,\n", - " y: row.count,\n", - " mode: 'scatter',\n", - " name: row.name\n", - " };\n", - " }), {title: `Issues new metric for companies from ${startYear} to ${endYear} by year`, xaxis: {type: 'category'}});\n", - "});" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "#### Issues Active\n", - "\n", - "Issues active is a metric from CHAOSS, refer to https://chaoss.community/metric-issues-active/." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.plotly.v1+json": { - "data": [ { "mode": "scatter", - "name": "Microsoft", + "name": "ESPRESSIF", "x": [ "2015", "2016", @@ -4709,18 +1841,18 @@ "2021" ], "y": [ - "179501", - "532326", - "763362", - "749894", - "967003", - "1295075", - "1275670" + "0", + "317", + "2101", + "3028", + "4135", + "4193", + "4299" ] }, { "mode": "scatter", - "name": "Google", + "name": "Intel", "x": [ "2015", "2016", @@ -4731,18 +1863,18 @@ "2021" ], "y": [ - "410972", - "712233", - "932875", - "955294", - "1149927", - "1252748", - "939282" + "1296", + "1605", + "1296", + "2935", + "4037", + "4782", + "4240" ] }, { "mode": "scatter", - "name": "Amazon", + "name": "Oracle", "x": [ "2015", "2016", @@ -4753,18 +1885,18 @@ "2021" ], "y": [ - "30802", - "42066", - "55197", - "95046", - "169732", - "281849", - "316882" + "948", + "1267", + "2507", + "3964", + "4356", + "4159", + "3709" ] }, { "mode": "scatter", - "name": "Elastic", + "name": "JetBrains", "x": [ "2015", "2016", @@ -4775,18 +1907,18 @@ "2021" ], "y": [ - "69540", - "88943", - "80666", - "122030", - "231950", - "303029", - "291945" + "496", + "750", + "1258", + "1846", + "1793", + "2904", + "3585" ] }, { "mode": "scatter", - "name": "Meta", + "name": "Mapbox", "x": [ "2015", "2016", @@ -4797,18 +1929,18 @@ "2021" ], "y": [ - "125406", - "190030", - "218076", - "216722", - "245259", - "314033", - "281424" + "6257", + "7635", + "7897", + "7363", + "5674", + "4361", + "3269" ] }, { "mode": "scatter", - "name": "PingCAP", + "name": "Deno", "x": [ "2015", "2016", @@ -4819,18 +1951,18 @@ "2021" ], "y": [ - "2506", - "12084", - "21590", - "31043", - "68311", - "142763", - "183233" + "0", + "0", + "0", + "310", + "1092", + "3268", + "3080" ] }, { "mode": "scatter", - "name": "Mozilla", + "name": "Zilliz", "x": [ "2015", "2016", @@ -4841,18 +1973,18 @@ "2021" ], "y": [ - "136923", - "133581", - "155100", - "145473", - "193202", - "185138", - "127781" + "0", + "0", + "0", + "0", + "701", + "2003", + "2918" ] }, { "mode": "scatter", - "name": "VMWare", + "name": "QingCloud", "x": [ "2015", "2016", @@ -4863,18 +1995,18 @@ "2021" ], "y": [ - "41535", - "85181", - "107865", - "105184", - "113318", - "133343", - "121520" + "1", + "22", + "177", + "234", + "1770", + "2296", + "2610" ] }, { "mode": "scatter", - "name": "IBM", + "name": "ByteDance", "x": [ "2015", "2016", @@ -4885,18 +2017,18 @@ "2021" ], "y": [ - "2334", - "12514", - "25961", - "56456", - "117585", - "147751", - "117672" + "0", + "18", + "0", + "45", + "312", + "690", + "2249" ] }, { "mode": "scatter", - "name": "Alibaba", + "name": "Cloudbees", "x": [ "2015", "2016", @@ -4907,18 +2039,18 @@ "2021" ], "y": [ - "14303", - "34884", - "47717", - "72359", - "124967", - "112641", - "115398" + "864", + "1640", + "1663", + "1842", + "2199", + "2715", + "2201" ] }, { "mode": "scatter", - "name": "Ant group", + "name": "Huawei", "x": [ "2015", "2016", @@ -4929,18 +2061,18 @@ "2021" ], "y": [ - "3078", - "28242", - "60704", - "95000", - "106846", - "135246", - "111416" + "13", + "40", + "329", + "180", + "987", + "1440", + "2062" ] }, { "mode": "scatter", - "name": "HashiCorp", + "name": "JD", "x": [ "2015", "2016", @@ -4951,18 +2083,18 @@ "2021" ], "y": [ - "32658", - "49731", - "51106", - "42206", - "52177", - "105830", - "110677" + "0", + "0", + "9", + "1783", + "3889", + "2895", + "1984" ] }, { "mode": "scatter", - "name": "Adobe", + "name": "SphereEx", "x": [ "2015", "2016", @@ -4973,18 +2105,18 @@ "2021" ], "y": [ - "36049", - "49913", - "51027", - "62604", - "116978", - "131751", - "105942" + "0", + "182", + "278", + "607", + "1318", + "1819", + "1868" ] }, { "mode": "scatter", - "name": "Oracle", + "name": "Netlify", "x": [ "2015", "2016", @@ -4995,18 +2127,18 @@ "2021" ], "y": [ - "8633", - "11707", - "20633", - "35382", - "33664", - "65638", - "103689" + "23", + "198", + "704", + "993", + "1389", + "1926", + "1790" ] }, { "mode": "scatter", - "name": "Baidu", + "name": "Twitter", "x": [ "2015", "2016", @@ -5017,18 +2149,18 @@ "2021" ], "y": [ - "21558", - "29005", - "41999", - "52376", - "52828", - "77619", - "94089" + "4373", + "3425", + "3348", + "2586", + "1624", + "1645", + "1748" ] }, { "mode": "scatter", - "name": "Databricks", + "name": "Netflix", "x": [ "2015", "2016", @@ -5039,18 +2171,18 @@ "2021" ], "y": [ - "150585", - "125615", - "85263", - "102179", - "126939", - "140657", - "84142" + "2366", + "3034", + "3568", + "3803", + "3315", + "2980", + "1714" ] }, { "mode": "scatter", - "name": "Odoo", + "name": "Pivotal", "x": [ "2015", "2016", @@ -5061,18 +2193,18 @@ "2021" ], "y": [ - "15910", - "13621", - "18959", - "28539", - "49088", - "58530", - "59312" + "1483", + "2275", + "2901", + "2295", + "1567", + "1650", + "1644" ] }, { "mode": "scatter", - "name": "WordPress", + "name": "Postman", "x": [ "2015", "2016", @@ -5083,18 +2215,18 @@ "2021" ], "y": [ - "1790", - "2805", - "22617", - "46485", - "40496", - "54043", - "56991" + "602", + "1379", + "1734", + "1955", + "2675", + "2391", + "1613" ] }, { "mode": "scatter", - "name": "Docker", + "name": "Youzan", "x": [ "2015", "2016", @@ -5105,18 +2237,18 @@ "2021" ], "y": [ - "144867", - "160031", - "112942", - "69055", - "63366", - "80650", - "56434" + "0", + "28", + "507", + "1854", + "3096", + "2836", + "1575" ] }, { "mode": "scatter", - "name": "Zilliz", + "name": "Odoo", "x": [ "2015", "2016", @@ -5127,18 +2259,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "2235", - "9112", - "42174" + "2240", + "1630", + "1809", + "2335", + "2155", + "2014", + "1566" ] }, { "mode": "scatter", - "name": "QingCloud", + "name": "Uber", "x": [ "2015", "2016", @@ -5149,18 +2281,18 @@ "2021" ], "y": [ - "11", - "109", - "795", - "945", - "9378", - "19984", - "31749" + "825", + "1018", + "2577", + "3346", + "4479", + "2842", + "1565" ] }, { "mode": "scatter", - "name": "Tencent", + "name": "Jina AI", "x": [ "2015", "2016", @@ -5171,18 +2303,18 @@ "2021" ], "y": [ - "210", - "3424", - "14566", - "24257", - "35007", - "35948", - "30595" + "0", + "0", + "0", + "0", + "0", + "684", + "1499" ] }, { "mode": "scatter", - "name": "Cloudbees", + "name": "Vesoft", "x": [ "2015", "2016", @@ -5193,18 +2325,18 @@ "2021" ], "y": [ - "25433", - "38290", - "34660", - "26184", - "33787", - "36126", - "30155" + "0", + "0", + "0", + "0", + "465", + "555", + "1413" ] }, { "mode": "scatter", - "name": "JetBrains", + "name": "StreamNative", "x": [ "2015", "2016", @@ -5215,18 +2347,18 @@ "2021" ], "y": [ - "5073", - "7700", - "11284", - "14542", - "16968", - "24485", - "25011" + "0", + "41", + "213", + "370", + "966", + "1230", + "1407" ] }, { "mode": "scatter", - "name": "Fit2Cloud", + "name": "Treasure Data", "x": [ "2015", "2016", @@ -5237,18 +2369,18 @@ "2021" ], "y": [ - "0", - "583", - "2525", - "4139", - "6047", - "10484", - "20424" + "259", + "477", + "682", + "928", + "1141", + "1346", + "1380" ] }, { "mode": "scatter", - "name": "Mapbox", + "name": "Datafuse Labs", "x": [ "2015", "2016", @@ -5259,18 +2391,18 @@ "2021" ], "y": [ - "37889", - "51223", - "47287", - "43872", - "30951", - "25021", - "18673" + "0", + "0", + "0", + "0", + "0", + "0", + "1324" ] }, { "mode": "scatter", - "name": "Jina AI", + "name": "API7", "x": [ "2015", "2016", @@ -5285,14 +2417,14 @@ "0", "0", "0", - "0", - "6896", - "17057" + "361", + "1138", + "1231" ] }, { "mode": "scatter", - "name": "Netflix", + "name": "Neo4j", "x": [ "2015", "2016", @@ -5303,18 +2435,18 @@ "2021" ], "y": [ - "19966", - "27892", - "25715", - "29836", - "28527", - "26734", - "16698" + "844", + "1269", + "1425", + "1162", + "1084", + "1466", + "1157" ] }, { "mode": "scatter", - "name": "Huawei", + "name": "Didi", "x": [ "2015", "2016", @@ -5325,18 +2457,18 @@ "2021" ], "y": [ - "38", - "87", - "3967", - "3645", - "15003", - "13230", - "16572" + "0", + "0", + "200", + "530", + "1584", + "1350", + "1146" ] }, { "mode": "scatter", - "name": "StreamNative", + "name": "Salesforce", "x": [ "2015", "2016", @@ -5347,18 +2479,18 @@ "2021" ], "y": [ - "0", - "452", - "2103", - "6072", - "12410", - "12635", - "15675" + "226", + "1000", + "663", + "1155", + "1584", + "1228", + "1075" ] }, { "mode": "scatter", - "name": "Treasure Data", + "name": "EMQ", "x": [ "2015", "2016", @@ -5369,18 +2501,18 @@ "2021" ], "y": [ - "2578", - "4784", - "5337", - "6088", - "7768", - "9232", - "14766" + "0", + "0", + "1", + "244", + "869", + "1701", + "1073" ] }, { "mode": "scatter", - "name": "Pivotal", + "name": "Deepmind", "x": [ "2015", "2016", @@ -5391,18 +2523,18 @@ "2021" ], "y": [ - "14426", - "20743", - "24190", - "20025", - "15562", - "16157", - "14515" + "34", + "70", + "269", + "384", + "566", + "714", + "1068" ] }, { "mode": "scatter", - "name": "Datafuse Labs", + "name": "Puppet Labs", "x": [ "2015", "2016", @@ -5413,18 +2545,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "13594" + "420", + "386", + "463", + "466", + "891", + "1155", + "1037" ] }, { "mode": "scatter", - "name": "SphereEx", + "name": "Redis Labs", "x": [ "2015", "2016", @@ -5435,18 +2567,18 @@ "2021" ], "y": [ - "0", - "628", - "1248", - "3299", - "8411", - "12619", - "12417" + "150", + "139", + "101", + "88", + "119", + "486", + "1006" ] }, { "mode": "scatter", - "name": "Redis Labs", + "name": "WeBank", "x": [ "2015", "2016", @@ -5457,18 +2589,18 @@ "2021" ], "y": [ - "1265", - "1083", - "653", - "707", - "775", - "6326", - "11766" + "0", + "0", + "0", + "6", + "903", + "1222", + "992" ] }, { "mode": "scatter", - "name": "Postman", + "name": "Guojusoft", "x": [ "2015", "2016", @@ -5479,18 +2611,18 @@ "2021" ], "y": [ - "3383", - "9293", - "11577", - "13214", - "17094", - "17304", - "10863" + "0", + "0", + "0", + "0", + "0", + "0", + "966" ] }, { "mode": "scatter", - "name": "JD", + "name": "Samsung", "x": [ "2015", "2016", @@ -5501,18 +2633,18 @@ "2021" ], "y": [ - "0", - "0", - "13", - "9829", - "23835", - "16119", - "10104" + "655", + "541", + "532", + "358", + "1067", + "2117", + "955" ] }, { "mode": "scatter", - "name": "Cloudera", + "name": "DCloud", "x": [ "2015", "2016", @@ -5523,18 +2655,18 @@ "2021" ], "y": [ - "2677", - "3113", - "2021", - "849", - "10169", - "6472", - "9905" + "95", + "118", + "114", + "241", + "1190", + "1259", + "919" ] }, { "mode": "scatter", - "name": "Puppet Labs", + "name": "Explosion AI", "x": [ "2015", "2016", @@ -5545,18 +2677,18 @@ "2021" ], "y": [ - "29562", - "23484", - "19305", - "17090", - "15439", - "14096", - "9891" + "0", + "166", + "907", + "1022", + "1370", + "1095", + "848" ] }, { "mode": "scatter", - "name": "API7", + "name": "OpenAI", "x": [ "2015", "2016", @@ -5568,17 +2700,17 @@ ], "y": [ "0", - "0", - "0", - "0", - "1808", - "7920", - "9374" + "441", + "1104", + "1297", + "1207", + "925", + "845" ] }, { "mode": "scatter", - "name": "Salesforce", + "name": "Databricks", "x": [ "2015", "2016", @@ -5589,18 +2721,18 @@ "2021" ], "y": [ - "1265", - "5242", - "6997", - "9327", - "11553", - "11958", - "9345" + "437", + "909", + "648", + "758", + "1104", + "866", + "802" ] }, { "mode": "scatter", - "name": "Terminus", + "name": "JFrog", "x": [ "2015", "2016", @@ -5611,18 +2743,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "9285" + "71", + "145", + "238", + "386", + "570", + "714", + "785" ] }, { "mode": "scatter", - "name": "Rapid7", + "name": "StarRocks", "x": [ "2015", "2016", @@ -5633,18 +2765,18 @@ "2021" ], "y": [ - "12547", - "10651", - "12009", - "10775", - "8808", - "12485", - "8684" + "0", + "0", + "0", + "0", + "0", + "0", + "780" ] }, { "mode": "scatter", - "name": "MongoDB", + "name": "Deepin", "x": [ "2015", "2016", @@ -5655,18 +2787,18 @@ "2021" ], "y": [ - "4612", - "6188", - "3618", - "4023", - "4906", - "8586", - "8413" + "38", + "339", + "735", + "1487", + "3069", + "958", + "766" ] }, { "mode": "scatter", - "name": "Alluxio", + "name": "Rapid7", "x": [ "2015", "2016", @@ -5677,18 +2809,18 @@ "2021" ], "y": [ - "0", - "13373", - "14495", - "10333", - "22319", - "18142", - "8399" + "794", + "942", + "1021", + "980", + "941", + "1143", + "747" ] }, { "mode": "scatter", - "name": "Deepin", + "name": "Xiaomi", "x": [ "2015", "2016", @@ -5699,18 +2831,18 @@ "2021" ], "y": [ - "114", - "2137", - "4876", - "7148", - "11501", - "3919", - "8287" + "195", + "374", + "950", + "1002", + "1553", + "1865", + "743" ] }, { "mode": "scatter", - "name": "Youzan", + "name": "TAOS Data", "x": [ "2015", "2016", @@ -5722,17 +2854,17 @@ ], "y": [ "0", - "112", - "2936", - "8275", - "14555", - "12910", - "7352" + "0", + "0", + "0", + "711", + "1124", + "718" ] }, { "mode": "scatter", - "name": "Neo4j", + "name": "Juejin", "x": [ "2015", "2016", @@ -5743,18 +2875,18 @@ "2021" ], "y": [ - "7074", - "9602", - "9300", - "7451", - "6141", - "8028", - "7302" + "71", + "604", + "1666", + "1366", + "895", + "581", + "672" ] }, { "mode": "scatter", - "name": "Yunion", + "name": "Segment", "x": [ "2015", "2016", @@ -5765,18 +2897,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "19383", - "15832", - "7176" + "872", + "787", + "790", + "761", + "788", + "713", + "657" ] }, { "mode": "scatter", - "name": "Vesoft", + "name": "H2O AI", "x": [ "2015", "2016", @@ -5787,18 +2919,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "5760", - "3511", - "7023" + "21", + "43", + "219", + "576", + "488", + "437", + "650" ] }, { "mode": "scatter", - "name": "ByteDance", + "name": "Netease", "x": [ "2015", "2016", @@ -5809,18 +2941,18 @@ "2021" ], "y": [ - "0", - "62", - "0", - "216", - "1693", - "3048", - "6503" + "202", + "192", + "269", + "964", + "1474", + "795", + "603" ] }, { "mode": "scatter", - "name": "EMQ", + "name": "PayPal", "x": [ "2015", "2016", @@ -5831,18 +2963,18 @@ "2021" ], "y": [ - "0", - "0", - "5", - "1806", - "5102", - "6076", - "6155" + "2042", + "2081", + "2421", + "1706", + "980", + "576", + "553" ] }, { "mode": "scatter", - "name": "Oneflow", + "name": "Alluxio", "x": [ "2015", "2016", @@ -5854,17 +2986,17 @@ ], "y": [ "0", - "0", - "0", - "0", - "0", - "1107", - "5557" + "15", + "166", + "236", + "653", + "379", + "534" ] }, { "mode": "scatter", - "name": "Segment", + "name": "Merico", "x": [ "2015", "2016", @@ -5875,18 +3007,18 @@ "2021" ], "y": [ - "6362", - "5938", - "5482", - "5091", - "4846", - "4941", - "5546" + "0", + "0", + "0", + "0", + "0", + "0", + "510" ] }, { "mode": "scatter", - "name": "Confluent", + "name": "Matrix Origin", "x": [ "2015", "2016", @@ -5897,18 +3029,18 @@ "2021" ], "y": [ - "3332", - "8728", - "23798", - "8386", - "7865", - "9241", - "5303" + "0", + "0", + "0", + "0", + "0", + "0", + "497" ] }, { "mode": "scatter", - "name": "JFrog", + "name": "MongoDB", "x": [ "2015", "2016", @@ -5919,18 +3051,18 @@ "2021" ], "y": [ - "373", - "965", - "1404", - "2363", - "3688", - "5336", - "5261" + "283", + "540", + "285", + "233", + "343", + "492", + "494" ] }, { "mode": "scatter", - "name": "Juejin", + "name": "Taichi", "x": [ "2015", "2016", @@ -5941,18 +3073,18 @@ "2021" ], "y": [ - "353", - "7382", - "11674", - "12473", - "8716", - "4945", - "5188" + "0", + "0", + "0", + "0", + "0", + "676", + "477" ] }, { "mode": "scatter", - "name": "PayPal", + "name": "Liferay", "x": [ "2015", "2016", @@ -5963,18 +3095,18 @@ "2021" ], "y": [ - "14207", - "12405", - "16555", - "10064", - "5634", - "4831", - "4645" + "360", + "331", + "342", + "747", + "1271", + "1062", + "436" ] }, { "mode": "scatter", - "name": "Liferay", + "name": "JuiceData", "x": [ "2015", "2016", @@ -5985,18 +3117,18 @@ "2021" ], "y": [ - "2800", - "4692", - "25425", - "13452", - "21022", - "8822", - "4519" + "0", + "0", + "0", + "6", + "24", + "29", + "361" ] }, { "mode": "scatter", - "name": "Taichi", + "name": "ThinkPHP", "x": [ "2015", "2016", @@ -6007,18 +3139,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "7798", - "4415" + "41", + "614", + "422", + "520", + "608", + "468", + "361" ] }, { "mode": "scatter", - "name": "DCloud", + "name": "MycroftAI", "x": [ "2015", "2016", @@ -6029,18 +3161,18 @@ "2021" ], "y": [ - "362", - "352", - "353", - "640", - "5425", - "4923", - "4318" + "0", + "323", + "630", + "390", + "399", + "504", + "343" ] }, { "mode": "scatter", - "name": "Didi", + "name": "Zalando", "x": [ "2015", "2016", @@ -6053,16 +3185,16 @@ "y": [ "0", "0", - "795", - "2425", - "7464", - "5472", - "4289" + "46", + "232", + "724", + "552", + "339" ] }, { "mode": "scatter", - "name": "Timecho", + "name": "Bilibili", "x": [ "2015", "2016", @@ -6073,18 +3205,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "653", - "4421", - "4281" + "630", + "1878", + "1736", + "918", + "807", + "431", + "330" ] }, { "mode": "scatter", - "name": "TAOS Data", + "name": "Yunion", "x": [ "2015", "2016", @@ -6099,14 +3231,14 @@ "0", "0", "0", - "3440", - "6282", - "4057" + "16", + "62", + "298" ] }, { "mode": "scatter", - "name": "Guojusoft", + "name": "CTrip", "x": [ "2015", "2016", @@ -6117,18 +3249,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "3910" + "3", + "53", + "263", + "735", + "1007", + "546", + "284" ] }, { "mode": "scatter", - "name": "Alfresco", + "name": "360", "x": [ "2015", "2016", @@ -6139,18 +3271,18 @@ "2021" ], "y": [ - "1253", - "4629", - "3657", - "3231", - "5446", - "6642", - "3602" + "302", + "652", + "1485", + "1128", + "1089", + "839", + "270" ] }, { "mode": "scatter", - "name": "StarRocks", + "name": "OpenResty", "x": [ "2015", "2016", @@ -6161,18 +3293,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "3034" + "289", + "650", + "535", + "397", + "458", + "411", + "267" ] }, { "mode": "scatter", - "name": "Talend", + "name": "Oneflow", "x": [ "2015", "2016", @@ -6183,18 +3315,18 @@ "2021" ], "y": [ - "44", - "2373", - "9737", - "8393", - "6015", - "4619", - "2882" + "0", + "0", + "0", + "0", + "0", + "202", + "266" ] }, { "mode": "scatter", - "name": "Instructure", + "name": "Timecho", "x": [ "2015", "2016", @@ -6205,18 +3337,18 @@ "2021" ], "y": [ - "1261", - "1375", - "1608", - "1885", - "3749", - "5146", - "2669" + "0", + "0", + "0", + "0", + "0", + "146", + "260" ] }, { "mode": "scatter", - "name": "RT-Thread", + "name": "Cloudera", "x": [ "2015", "2016", @@ -6227,18 +3359,18 @@ "2021" ], "y": [ - "275", - "205", - "328", - "1353", - "1999", - "1946", - "2578" + "568", + "381", + "310", + "195", + "273", + "234", + "247" ] }, { "mode": "scatter", - "name": "Pentaho", + "name": "Chatopera", "x": [ "2015", "2016", @@ -6249,18 +3381,18 @@ "2021" ], "y": [ - "4722", - "10712", - "10623", - "7194", - "6573", - "3445", - "2542" + "0", + "0", + "0", + "160", + "117", + "176", + "241" ] }, { "mode": "scatter", - "name": "Mulesoft", + "name": "Fastly", "x": [ "2015", "2016", @@ -6271,18 +3403,18 @@ "2021" ], "y": [ - "3439", - "3993", - "2704", - "1262", - "1910", - "2749", - "2325" + "49", + "71", + "33", + "49", + "160", + "111", + "236" ] }, { "mode": "scatter", - "name": "Netease", + "name": "Meituan", "x": [ "2015", "2016", @@ -6293,18 +3425,18 @@ "2021" ], "y": [ - "879", - "768", - "1268", - "4163", - "6737", - "2740", - "2196" + "179", + "154", + "546", + "1793", + "1250", + "576", + "221" ] }, { "mode": "scatter", - "name": "CTrip", + "name": "RaRe Technologies", "x": [ "2015", "2016", @@ -6315,18 +3447,18 @@ "2021" ], "y": [ - "16", - "749", - "1670", - "4623", - "6230", - "3420", - "2173" + "0", + "156", + "414", + "336", + "358", + "308", + "221" ] }, { "mode": "scatter", - "name": "Couchbase", + "name": "Instructure", "x": [ "2015", "2016", @@ -6337,18 +3469,18 @@ "2021" ], "y": [ - "10677", - "13086", - "13898", - "10457", - "4626", - "3432", - "2107" + "184", + "281", + "260", + "306", + "167", + "370", + "208" ] }, { "mode": "scatter", - "name": "Merico", + "name": "Megvii", "x": [ "2015", "2016", @@ -6364,13 +3496,13 @@ "0", "0", "0", - "8", - "2004" + "112", + "188" ] }, { "mode": "scatter", - "name": "WeBank", + "name": "Alfresco", "x": [ "2015", "2016", @@ -6381,13 +3513,13 @@ "2021" ], "y": [ - "0", - "0", - "0", - "94", - "2646", - "3272", - "1997" + "180", + "1078", + "622", + "226", + "409", + "223", + "183" ] }, { @@ -6403,18 +3535,18 @@ "2021" ], "y": [ - "5073", - "4946", - "4548", - "3477", - "2576", - "3088", - "1919" + "317", + "396", + "274", + "255", + "212", + "249", + "166" ] }, { "mode": "scatter", - "name": "Xiaomi", + "name": "RT-Thread", "x": [ "2015", "2016", @@ -6425,18 +3557,18 @@ "2021" ], "y": [ - "651", - "837", - "2832", - "4157", - "4989", - "3954", - "1908" + "41", + "26", + "50", + "150", + "191", + "197", + "163" ] }, { "mode": "scatter", - "name": "Fastly", + "name": "Blue Spire", "x": [ "2015", "2016", @@ -6447,18 +3579,18 @@ "2021" ], "y": [ - "368", - "606", - "247", - "332", - "1008", - "723", - "1701" + "1884", + "2746", + "1211", + "600", + "378", + "223", + "150" ] }, { "mode": "scatter", - "name": "JuiceData", + "name": "iQiyi", "x": [ "2015", "2016", @@ -6471,16 +3603,16 @@ "y": [ "0", "0", - "0", - "16", - "70", - "153", - "1630" + "54", + "150", + "156", + "185", + "131" ] }, { "mode": "scatter", - "name": "Matrix Origin", + "name": "KodeRover", "x": [ "2015", "2016", @@ -6497,12 +3629,12 @@ "0", "0", "0", - "1394" + "128" ] }, { "mode": "scatter", - "name": "Megvii", + "name": "Couchbase", "x": [ "2015", "2016", @@ -6513,18 +3645,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "796", - "1386" + "1777", + "1983", + "1798", + "1209", + "403", + "142", + "125" ] }, { "mode": "scatter", - "name": "OpenResty", + "name": "Varnish", "x": [ "2015", "2016", @@ -6535,18 +3667,18 @@ "2021" ], "y": [ - "2376", - "5427", - "4624", - "2412", - "2606", - "2255", - "1359" + "116", + "607", + "266", + "236", + "155", + "148", + "111" ] }, { "mode": "scatter", - "name": "Bilibili", + "name": "Goodrain", "x": [ "2015", "2016", @@ -6557,18 +3689,18 @@ "2021" ], "y": [ - "3978", - "8864", - "7475", - "3635", - "3577", - "1785", - "1322" + "0", + "0", + "23", + "235", + "325", + "118", + "95" ] }, { "mode": "scatter", - "name": "Varnish", + "name": "Mulesoft", "x": [ "2015", "2016", @@ -6579,18 +3711,18 @@ "2021" ], "y": [ - "392", - "3051", - "2386", - "1922", - "1868", - "1650", - "1193" + "612", + "680", + "380", + "177", + "133", + "111", + "76" ] }, { "mode": "scatter", - "name": "ThinkPHP", + "name": "Sourcefire", "x": [ "2015", "2016", @@ -6601,18 +3733,18 @@ "2021" ], "y": [ - "279", - "2789", - "1657", - "2220", - "2145", - "1557", - "1175" + "0", + "0", + "0", + "12", + "39", + "37", + "75" ] }, { "mode": "scatter", - "name": "Chatopera", + "name": "RedHat", "x": [ "2015", "2016", @@ -6626,15 +3758,15 @@ "0", "0", "0", - "343", - "498", - "713", - "1053" + "91", + "76", + "165", + "74" ] }, { "mode": "scatter", - "name": "Meituan", + "name": "Terminus", "x": [ "2015", "2016", @@ -6645,18 +3777,18 @@ "2021" ], "y": [ - "878", - "602", - "2588", - "8865", - "5709", - "2216", - "974" + "0", + "0", + "0", + "0", + "0", + "0", + "61" ] }, { "mode": "scatter", - "name": "360", + "name": "Talend", "x": [ "2015", "2016", @@ -6667,18 +3799,18 @@ "2021" ], "y": [ - "1073", - "3065", - "7365", - "5050", - "4603", - "3083", - "908" + "0", + "86", + "111", + "22", + "9", + "29", + "59" ] }, { "mode": "scatter", - "name": "KodeRover", + "name": "Anaconda", "x": [ "2015", "2016", @@ -6689,18 +3821,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "646" + "325", + "394", + "229", + "91", + "111", + "110", + "58" ] }, { "mode": "scatter", - "name": "Bytebase", + "name": "Qunar", "x": [ "2015", "2016", @@ -6714,15 +3846,15 @@ "0", "0", "0", - "0", - "0", - "0", - "499" + "13", + "214", + "56", + "51" ] }, { "mode": "scatter", - "name": "Goodrain", + "name": "Vipshop", "x": [ "2015", "2016", @@ -6733,18 +3865,18 @@ "2021" ], "y": [ - "0", - "0", - "67", - "835", - "1144", - "738", - "462" + "4", + "92", + "317", + "405", + "354", + "128", + "46" ] }, { "mode": "scatter", - "name": "Sourcefire", + "name": "Bytebase", "x": [ "2015", "2016", @@ -6758,15 +3890,15 @@ "0", "0", "0", - "79", - "176", - "162", - "458" + "0", + "0", + "0", + "37" ] }, { "mode": "scatter", - "name": "Kyligence", + "name": "Nicira", "x": [ "2015", "2016", @@ -6777,18 +3909,18 @@ "2021" ], "y": [ + "67", + "58", + "60", + "96", + "63", "20", - "35", - "26", - "750", - "1627", - "1139", - "429" + "37" ] }, { "mode": "scatter", - "name": "RedHat", + "name": "FM Soft", "x": [ "2015", "2016", @@ -6802,10 +3934,10 @@ "0", "0", "0", - "388", - "385", - "1158", - "410" + "13", + "11", + "29", + "23" ] }, { @@ -6821,18 +3953,18 @@ "2021" ], "y": [ - "843", - "1048", - "673", - "695", - "593", - "358", - "230" + "106", + "129", + "78", + "85", + "81", + "52", + "21" ] }, { "mode": "scatter", - "name": "Nicira", + "name": "Artelnics", "x": [ "2015", "2016", @@ -6843,18 +3975,18 @@ "2021" ], "y": [ - "507", - "730", - "598", - "1655", - "666", - "159", - "217" + "1", + "9", + "12", + "9", + "27", + "61", + "20" ] }, { "mode": "scatter", - "name": "Linux China", + "name": "Cloud Wise", "x": [ "2015", "2016", @@ -6865,18 +3997,18 @@ "2021" ], "y": [ - "273", - "439", - "798", - "884", - "322", - "245", - "182" + "0", + "0", + "10", + "1", + "0", + "0", + "18" ] }, { "mode": "scatter", - "name": "Qunar", + "name": "Douban", "x": [ "2015", "2016", @@ -6887,18 +4019,18 @@ "2021" ], "y": [ - "0", - "0", - "0", - "51", - "867", - "204", - "180" + "91", + "156", + "108", + "43", + "24", + "44", + "17" ] }, { "mode": "scatter", - "name": "Vipshop", + "name": "Pentaho", "x": [ "2015", "2016", @@ -6909,13 +4041,13 @@ "2021" ], "y": [ - "22", - "326", - "767", - "943", - "716", - "303", - "101" + "33", + "40", + "49", + "37", + "27", + "38", + "14" ] }, { @@ -6935,14 +4067,14 @@ "0", "0", "0", - "362", - "163", - "80" + "132", + "66", + "9" ] }, { "mode": "scatter", - "name": "Douban", + "name": "ZStack", "x": [ "2015", "2016", @@ -6953,18 +4085,18 @@ "2021" ], "y": [ - "553", - "904", - "747", - "239", - "138", - "167", - "72" + "0", + "0", + "43", + "17", + "17", + "17", + "9" ] }, { "mode": "scatter", - "name": "Cloud Wise", + "name": "DataCanvas", "x": [ "2015", "2016", @@ -6977,16 +4109,16 @@ "y": [ "0", "0", - "14", - "1", "0", "0", - "55" + "0", + "0", + "7" ] }, { "mode": "scatter", - "name": "EnterpriseDB", + "name": "Linux China", "x": [ "2015", "2016", @@ -6997,18 +4129,18 @@ "2021" ], "y": [ - "17", - "9", - "16", + "24", + "21", + "228", + "104", "25", - "133", - "26", - "47" + "11", + "7" ] }, { "mode": "scatter", - "name": "ZStack", + "name": "Galaxy Future", "x": [ "2015", "2016", @@ -7021,16 +4153,16 @@ "y": [ "0", "0", - "18844", - "45", - "62", - "78", - "47" + "0", + "0", + "0", + "0", + "7" ] }, { "mode": "scatter", - "name": "Galaxy Future", + "name": "SequoiaDB", "x": [ "2015", "2016", @@ -7041,18 +4173,18 @@ "2021" ], "y": [ + "1", + "4", "0", - "0", - "0", - "0", - "0", - "0", - "28" + "47", + "77", + "8", + "6" ] }, { "mode": "scatter", - "name": "DataCanvas", + "name": "EasyCorp", "x": [ "2015", "2016", @@ -7069,34 +4201,12 @@ "0", "0", "0", - "14" - ] - }, - { - "mode": "scatter", - "name": "Oushu", - "x": [ - "2015", - "2016", - "2017", - "2018", - "2019", - "2020", - "2021" - ], - "y": [ - "460", - "2011", - "707", - "177", - "160", - "11", - "13" + "2" ] }, { "mode": "scatter", - "name": "SequoiaDB", + "name": "Shendu Fuzhi", "x": [ "2015", "2016", @@ -7107,18 +4217,18 @@ "2021" ], "y": [ - "6", - "6", - "1", - "406", - "592", - "17", - "10" + "0", + "0", + "0", + "0", + "0", + "37", + "1" ] }, { "mode": "scatter", - "name": "EasyCorp", + "name": "EnterpriseDB", "x": [ "2015", "2016", @@ -7129,13 +4239,13 @@ "2021" ], "y": [ + "5", "0", - "0", - "0", - "0", - "0", - "0", - "4" + "5", + "4", + "2", + "1", + "1" ] }, { @@ -7151,9 +4261,9 @@ "2021" ], "y": [ - "12", + "1", "0", - "6", + "1", "0", "0", "0", @@ -7164,27 +4274,27 @@ "layout": { "autosize": true, "title": { - "text": "Issues active metric for companies from 2015 to 2021 by year" + "text": "Issues new metric for companies from 2015 to 2021 by year" }, "xaxis": { "autorange": true, "range": [ - -0.35603377826205385, - 6.356033778262054 + -0.35918114143920604, + 6.359181141439206 ], "type": "category" }, "yaxis": { "autorange": true, "range": [ - -106875.12135922331, - 1401950.1213592233 + -19360.441747572815, + 253963.44174757283 ], "type": "linear" } } }, - "image/png": 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" + "image/png": 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}, "execution_count": 3, "metadata": {}, @@ -7194,7 +4304,8 @@ "source": [ "var startYear = 2015, startMonth = 1, endYear = 2021, endMonth = 12, x = [];\n", "for (let y = startYear; y <= endYear; y++) x.push(`${y}`);\n", - "openDigger.metric.chaoss.issuesActive({ labelIntersect: ['Company'], startYear, startMonth, endYear, endMonth, groupBy: 'Company', groupTimeRange: 'year', limit: -1, order: 'DESC' }).then(data => {\n", + "openDigger.metric.chaoss.issuesNew({ labelIntersect: ['Company'], startYear, startMonth, endYear, endMonth, groupBy: 'Company', groupTimeRange: 'year', limit: -1, order: 'DESC' }).then(data => {\n", + " console.log(`Issues New metric ratio value for ${data[0].name} is ${JSON.stringify(data[0].ratio)}`);\n", " openDigger.render.plotly(data.filter(row => row.name != 'Others').map(row => {\n", " return {\n", " x,\n", @@ -7202,7 +4313,7 @@ " mode: 'scatter',\n", " name: row.name\n", " };\n", - " }), {title: `Issues active metric for companies from ${startYear} to ${endYear} by year`, xaxis: {type: 'category'}});\n", + " }), {title: `Issues new metric for companies from ${startYear} to ${endYear} by year`, xaxis: {type: 'category'}});\n", "});" ] }, @@ -7216,14 +4327,14 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Issues Closed metric ratio value for Google is [\"4.9%\",\"4.7%\",\"6.3%\",\"7.7%\",\"7.0%\",\"11%\",\"9.0%\",\"9.8%\",\"9.6%\",\"10%\",\"9.2%\",\"11%\"]\n" + "Issues Closed metric ratio value for Google is [\"4.6%\",\"4.4%\",\"6.0%\",\"7.4%\",\"6.6%\",\"15%\",\"8.5%\",\"9.6%\",\"9.0%\",\"9.5%\",\"9.2%\",\"10%\"]\n" ] }, { @@ -7248,18 +4359,18 @@ "12" ], "y": [ - "1708", - "1632", - "2214", - "2691", - "2437", - "3852", - "3127", - "3418", - "3358", - "3569", - "3218", - "3677" + "1754", + "1657", + "2299", + "2804", + "2515", + "5601", + "3239", + "3651", + "3414", + "3630", + "3497", + "3957" ] }, { @@ -7280,18 +4391,18 @@ "12" ], "y": [ - "302", - "716", - "855", - "1064", - "980", - "943", - "939", - "1179", - "1366", - "1553", - "1976", - "2390" + "384", + "797", + "1013", + "1187", + "1324", + "1116", + "1168", + "1423", + "1542", + "1862", + "2257", + "2823" ] }, { @@ -7312,18 +4423,18 @@ "12" ], "y": [ - "474", - "539", - "643", - "1091", - "1004", - "1030", - "907", - "1012", - "1111", - "1256", - "1084", - "1041" + "481", + "540", + "646", + "1095", + "1014", + "1047", + "922", + "1020", + "1117", + "1258", + "1086", + "1044" ] }, { @@ -7344,18 +4455,18 @@ "12" ], "y": [ - "721", - "1110", - "1004", - "1090", - "944", - "1060", - "1311", - "1129", - "947", - "1221", - "1364", - "873" + "753", + "1164", + "1021", + "1152", + "1050", + "1228", + "1336", + "1154", + "962", + "1306", + "1416", + "902" ] }, { @@ -7378,16 +4489,16 @@ "y": [ "0", "0", - "397", - "794", - "920", - "736", - "701", - "740", - "597", - "717", - "891", - "709" + "402", + "817", + "928", + "751", + "711", + "750", + "601", + "719", + "909", + "715" ] }, { @@ -7408,18 +4519,18 @@ "12" ], "y": [ - "504", - "677", + "507", + "678", + "567", "565", - "560", - "523", - "555", - "860", - "867", - "788", - "784", - "750", - "701" + "525", + "562", + "865", + "868", + "794", + "796", + "756", + "704" ] }, { @@ -7440,18 +4551,18 @@ "12" ], "y": [ - "324", - "327", - "369", - "329", - "373", - "423", - "453", - "405", - "379", - "493", - "483", - "582" + "338", + "347", + "394", + "334", + "417", + "475", + "513", + "430", + "399", + "525", + "500", + "594" ] }, { @@ -7472,18 +4583,18 @@ "12" ], "y": [ - "304", - "375", - "365", - "382", - "341", - "371", - "321", - "342", - "342", - "500", - "434", - "485" + "311", + "383", + "370", + "389", + "344", + "380", + "326", + "344", + "355", + "519", + "505", + "505" ] }, { @@ -7505,17 +4616,17 @@ ], "y": [ "125", - "187", - "194", + "191", + "197", "225", - "345", - "313", - "196", - "171", - "182", - "363", - "328", - "347" + "347", + "314", + "197", + "177", + "184", + "366", + "332", + "348" ] }, { @@ -7536,17 +4647,17 @@ "12" ], "y": [ - "315", - "174", + "319", + "176", + "202", "201", - "198", "176", - "222", + "227", "286", "355", - "448", + "450", "583", - "426", + "427", "342" ] }, @@ -7568,18 +4679,18 @@ "12" ], "y": [ - "259", - "211", - "244", - "273", - "235", - "313", - "280", "261", + "211", + "252", + "279", + "238", + "318", + "285", + "262", "263", - "416", - "345", - "331" + "423", + "355", + "333" ] }, { @@ -7609,7 +4720,7 @@ "33", "25", "43", - "73", + "74", "21", "295" ] @@ -7632,23 +4743,23 @@ "12" ], "y": [ - "218", - "169", - "168", - "197", + "249", + "177", + "172", + "202", "232", - "220", - "317", - "223", "224", - "227", + "322", + "243", + "225", + "239", "229", - "270" + "271" ] }, { "mode": "scatter", - "name": "Magento", + "name": "Twitter", "x": [ "1", "2", @@ -7664,18 +4775,18 @@ "12" ], "y": [ - "104", - "44", - "79", - "40", - "44", - "70", - "91", - "75", - "87", - "187", - "319", - "224" + "355", + "282", + "333", + "415", + "268", + "334", + "278", + "322", + "294", + "202", + "286", + "243" ] }, { @@ -7698,14 +4809,14 @@ "y": [ "41", "26", - "40", + "42", "39", "20", "31", "31", "49", "32", - "73", + "74", "75", "217" ] @@ -7728,18 +4839,18 @@ "12" ], "y": [ - "52", - "47", - "31", - "58", - "43", - "67", + "76", "56", - "64", - "82", - "58", - "86", - "150" + "63", + "90", + "71", + "78", + "88", + "79", + "102", + "69", + "124", + "193" ] }, { @@ -7760,23 +4871,23 @@ "12" ], "y": [ - "131", + "133", "183", - "131", + "134", "156", "134", "129", "77", "174", "162", - "121", + "124", "172", "147" ] }, { "mode": "scatter", - "name": "Ant group", + "name": "Blue Spire", "x": [ "1", "2", @@ -7792,18 +4903,18 @@ "12" ], "y": [ - "0", - "1", - "0", - "0", - "3", - "5", - "21", - "60", - "89", - "88", - "120", - "144" + "43", + "102", + "84", + "122", + "125", + "134", + "132", + "98", + "149", + "281", + "191", + "147" ] }, { @@ -7833,7 +4944,7 @@ "121", "130", "144", - "169", + "170", "178", "126" ] @@ -7860,13 +4971,13 @@ "142", "174", "116", - "127", - "123", - "117", + "129", + "126", "117", + "120", "131", - "112", - "102", + "113", + "106", "126" ] }, @@ -7889,17 +5000,17 @@ ], "y": [ "158", - "131", + "132", "162", - "136", + "137", "139", "155", - "175", - "122", - "163", + "177", + "123", + "167", "170", - "114", - "109" + "115", + "112" ] }, { @@ -7931,7 +5042,39 @@ "0", "0", "0", - "101" + "112" + ] + }, + { + "mode": "scatter", + "name": "Intel", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "84", + "53", + "67", + "48", + "48", + "28", + "36", + "22", + "39", + "26", + "31", + "100" ] }, { @@ -7952,18 +5095,50 @@ "12" ], "y": [ - "123", - "95", - "79", - "91", - "50", - "61", - "59", - "76", - "124", - "163", - "110", - "91" + "124", + "96", + "80", + "91", + "50", + "61", + "60", + "77", + "126", + "164", + "112", + "94" + ] + }, + { + "mode": "scatter", + "name": "Liferay", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "21", + "7", + "38", + "33", + "39", + "32", + "36", + "23", + "18", + "17", + "14", + "74" ] }, { @@ -7990,7 +5165,7 @@ "1", "0", "35", - "138", + "139", "42", "46", "76", @@ -7998,38 +5173,6 @@ "68" ] }, - { - "mode": "scatter", - "name": "Liferay", - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "16", - "4", - "29", - "31", - "37", - "27", - "32", - "19", - "18", - "17", - "14", - "65" - ] - }, { "mode": "scatter", "name": "Juejin", @@ -8086,11 +5229,43 @@ "56", "54", "68", - "56", + "57", "53", - "107", + "108", "50", - "81", + "84", + "60" + ] + }, + { + "mode": "scatter", + "name": "Anaconda", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "3", + "5", + "3", + "1", + "1", + "4", + "18", + "16", + "36", + "53", + "48", "59" ] }, @@ -8113,13 +5288,13 @@ ], "y": [ "58", - "75", + "77", "66", "45", "48", "69", "57", - "48", + "49", "68", "77", "35", @@ -8150,8 +5325,8 @@ "12", "20", "19", - "33", - "31", + "34", + "32", "26", "31", "30", @@ -8182,7 +5357,7 @@ "25", "29", "23", - "17", + "18", "12", "6", "21", @@ -8219,7 +5394,39 @@ "0", "0", "0", - "45" + "49" + ] + }, + { + "mode": "scatter", + "name": "Uber", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "14", + "13", + "23", + "27", + "35", + "57", + "49", + "52", + "46", + "64", + "33", + "49" ] }, { @@ -8248,9 +5455,9 @@ "0", "0", "0", - "46", - "48", - "22", + "49", + "49", + "23", "44" ] }, @@ -8277,12 +5484,12 @@ "42", "51", "51", - "63", - "103", + "64", + "104", "50", + "47", + "73", "45", - "69", - "44", "43" ] }, @@ -8307,14 +5514,14 @@ "37", "21", "63", - "30", + "34", "32", "31", "19", "12", "16", "25", - "25", + "26", "41" ] }, @@ -8340,9 +5547,9 @@ "59", "37", "69", - "65", - "55", "70", + "56", + "71", "43", "35", "54", @@ -8350,6 +5557,38 @@ "37" ] }, + { + "mode": "scatter", + "name": "NVIDIA", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "1", + "1", + "23", + "50", + "19", + "28", + "27", + "33", + "41", + "30", + "34", + "37" + ] + }, { "mode": "scatter", "name": "Treasure Data", @@ -8446,6 +5685,38 @@ "30" ] }, + { + "mode": "scatter", + "name": "IBM", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "31", + "15", + "34", + "24", + "21", + "24", + "15", + "14", + "18", + "18", + "13", + "30" + ] + }, { "mode": "scatter", "name": "360", @@ -8480,7 +5751,7 @@ }, { "mode": "scatter", - "name": "Cloudera", + "name": "Samsung", "x": [ "1", "2", @@ -8496,23 +5767,23 @@ "12" ], "y": [ - "22", - "16", + "8", + "1", + "4", "11", - "19", - "15", - "18", - "43", + "8", + "31", + "69", + "88", + "62", + "46", "78", - "79", - "55", - "27", - "28" + "29" ] }, { "mode": "scatter", - "name": "IBM", + "name": "Meituan", "x": [ "1", "2", @@ -8528,23 +5799,23 @@ "12" ], "y": [ - "30", + "8", + "6", + "26", + "14", + "10", + "13", "15", - "34", - "24", - "20", - "24", + "9", "15", "11", - "18", "16", - "13", "28" ] }, { "mode": "scatter", - "name": "Meituan", + "name": "Cloudera", "x": [ "1", "2", @@ -8560,17 +5831,17 @@ "12" ], "y": [ - "8", - "6", - "26", - "14", - "10", - "13", - "15", - "9", - "15", - "11", + "22", "16", + "11", + "19", + "15", + "18", + "44", + "78", + "79", + "57", + "27", "28" ] }, @@ -8608,7 +5879,7 @@ }, { "mode": "scatter", - "name": "OpenResty", + "name": "Kaltura", "x": [ "1", "2", @@ -8624,23 +5895,23 @@ "12" ], "y": [ - "11", - "7", - "12", - "18", - "22", - "15", - "12", - "13", - "9", + "28", + "16", + "28", + "23", "17", - "26", + "28", + "32", + "18", + "30", + "33", + "20", "23" ] }, { "mode": "scatter", - "name": "Kaltura", + "name": "OpenResty", "x": [ "1", "2", @@ -8656,17 +5927,17 @@ "12" ], "y": [ - "28", - "16", - "28", - "23", - "17", - "28", - "32", + "11", + "7", + "12", "18", + "22", + "15", + "12", + "13", + "9", + "17", "26", - "33", - "20", "23" ] }, @@ -8704,7 +5975,7 @@ }, { "mode": "scatter", - "name": "WordPress", + "name": "Xiaomi", "x": [ "1", "2", @@ -8721,17 +5992,17 @@ ], "y": [ "0", - "6", - "9", - "0", - "0", - "0", + "1", "0", - "8", - "108", - "9", - "16", - "16" + "1", + "1", + "3", + "4", + "17", + "12", + "21", + "23", + "17" ] }, { @@ -8758,17 +6029,17 @@ "24", "38", "32", - "50", + "52", "18", "22", "50", - "48", - "15" + "50", + "16" ] }, { "mode": "scatter", - "name": "JFrog", + "name": "WordPress", "x": [ "1", "2", @@ -8784,18 +6055,18 @@ "12" ], "y": [ + "0", + "6", + "9", + "0", "0", "0", - "1", - "1", - "1", "0", - "1", - "2", "8", - "7", - "6", - "8" + "108", + "9", + "16", + "16" ] }, { @@ -8832,7 +6103,7 @@ }, { "mode": "scatter", - "name": "Nicira", + "name": "JFrog", "x": [ "1", "2", @@ -8848,18 +6119,18 @@ "12" ], "y": [ - "4", + "0", + "0", + "1", + "1", "1", - "11", - "20", - "9", - "8", - "13", - "3", - "3", "0", "1", - "7" + "2", + "8", + "7", + "6", + "8" ] }, { @@ -8880,8 +6151,8 @@ "12" ], "y": [ - "27", - "14", + "31", + "15", "2", "12", "4", @@ -8890,7 +6161,39 @@ "9", "10", "4", + "11", + "7" + ] + }, + { + "mode": "scatter", + "name": "Nicira", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", "10", + "11", + "12" + ], + "y": [ + "4", + "1", + "11", + "20", + "9", + "8", + "13", + "3", + "3", + "0", + "1", "7" ] }, @@ -8923,7 +6226,7 @@ "3", "7", "3", - "5" + "6" ] }, { @@ -8960,7 +6263,103 @@ }, { "mode": "scatter", - "name": "Deepin", + "name": "H2O AI", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "1", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "1", + "5" + ] + }, + { + "mode": "scatter", + "name": "Deepin", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "1", + "1", + "2", + "0", + "0", + "0", + "1", + "0", + "0", + "0", + "0", + "4" + ] + }, + { + "mode": "scatter", + "name": "DCloud", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "5", + "1", + "1", + "0", + "3", + "1", + "1", + "1", + "3", + "0", + "2", + "4" + ] + }, + { + "mode": "scatter", + "name": "Linux China", "x": [ "1", "2", @@ -8977,22 +6376,22 @@ ], "y": [ "1", - "1", - "2", "0", "0", + "2", "0", "1", "0", "0", "0", + "1", "0", "4" ] }, { "mode": "scatter", - "name": "DCloud", + "name": "Ant group", "x": [ "1", "2", @@ -9008,23 +6407,23 @@ "12" ], "y": [ - "5", - "1", - "1", "0", - "3", - "1", "1", - "1", - "3", + "0", + "0", + "0", + "0", + "0", "0", "2", - "4" + "0", + "2", + "3" ] }, { "mode": "scatter", - "name": "Linux China", + "name": "Huawei", "x": [ "1", "2", @@ -9040,23 +6439,23 @@ "12" ], "y": [ - "1", "0", "0", - "1", "0", - "1", "0", "0", "0", "1", "0", - "4" + "0", + "0", + "0", + "3" ] }, { "mode": "scatter", - "name": "Pentaho", + "name": "Deepmind", "x": [ "1", "2", @@ -9072,22 +6471,23 @@ "12" ], "y": [ - "2", - "0", - "1", "3", - "1", - "1", + "3", "0", + "3", "0", + "1", + "2", "0", "2", - "3" + "2", + "3", + "2" ] }, { "mode": "scatter", - "name": "Huawei", + "name": "Vipshop", "x": [ "1", "2", @@ -9109,12 +6509,12 @@ "0", "0", "0", - "1", - "0", "0", "0", "0", - "3" + "1", + "1", + "2" ] }, { @@ -9151,7 +6551,7 @@ }, { "mode": "scatter", - "name": "Vipshop", + "name": "Artelnics", "x": [ "1", "2", @@ -9176,14 +6576,14 @@ "0", "0", "0", - "1", - "1", - "2" + "0", + "0", + "1" ] }, { "mode": "scatter", - "name": "Xiaomi", + "name": "CTrip", "x": [ "1", "2", @@ -9200,22 +6600,22 @@ ], "y": [ "0", - "1", + "0", + "0", + "0", + "0", + "0", + "0", + "0", "0", "1", - "1", - "3", - "3", - "3", - "3", - "3", - "7", - "2" + "0", + "0" ] }, { "mode": "scatter", - "name": "Fastly", + "name": "RT-Thread", "x": [ "1", "2", @@ -9231,22 +6631,55 @@ "12" ], "y": [ + "5", "3", + "0", "3", - "2", + "8", + "1", "1", "2", + "6", + "5", "1", - "0", + "0" + ] + }, + { + "mode": "scatter", + "name": "QingCloud", + "x": [ + "1", + "2", "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "0", + "0", + "0", "0", "1", - "1" + "0", + "0", + "0", + "0", + "0", + "0", + "0" ] }, { "mode": "scatter", - "name": "CTrip", + "name": "EnterpriseDB", "x": [ "1", "2", @@ -9264,6 +6697,8 @@ "y": [ "0", "0", + "1", + "0", "0", "0", "0", @@ -9271,12 +6706,12 @@ "0", "0", "0", - "1" + "0" ] }, { "mode": "scatter", - "name": "EnterpriseDB", + "name": "Fastly", "x": [ "1", "2", @@ -9292,14 +6727,23 @@ "12" ], "y": [ + "3", + "3", + "2", + "1", + "2", + "1", "0", + "3", "0", - "1" + "1", + "1", + "0" ] }, { "mode": "scatter", - "name": "QingCloud", + "name": "Pentaho", "x": [ "1", "2", @@ -9315,16 +6759,23 @@ "12" ], "y": [ + "2", "0", + "1", + "3", + "1", + "1", "0", "0", "0", - "1" + "2", + "3", + "0" ] }, { "mode": "scatter", - "name": "ForgeRock", + "name": "Netlify", "x": [ "1", "2", @@ -9345,17 +6796,18 @@ "0", "0", "0", + "1", + "1", "0", + "2", "0", - "0", - "0", - "0", - "1" + "4", + "0" ] }, { "mode": "scatter", - "name": "RT-Thread", + "name": "ForgeRock", "x": [ "1", "2", @@ -9371,17 +6823,18 @@ "12" ], "y": [ - "5", - "3", "0", - "3", - "8", - "1", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", "1", - "2", - "6", - "5", - "1" + "0" ] } ], @@ -9393,24 +6846,24 @@ "xaxis": { "autorange": true, "range": [ - -0.6562315416420554, - 11.656231541642056 + -0.657337367624811, + 11.65733736762481 ], "type": "category" }, "yaxis": { "autorange": true, "range": [ - -317.88349514563106, - 4169.883495145631 + -462.21844660194176, + 6063.218446601942 ], "type": "linear" } } }, - "image/png": 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" }, - "execution_count": 8, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -9450,14 +6903,14 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The bus factor developers for docker/hub-feedback in 2015Q4 are: jrhouston(2), yoanisgil(2), dciccale(2), nathan-osman(2), gregkeys(2), GrahamDumpleton(2), posita(5), Tritlo(2), edasque(2), koszikot(3), jakirkham(10), ei-grad(2), siavashs(2), hainesr(2), SebOnAir(2), nhumrich(2), ahmetalpbalkan(3), pik(2), timlinux(2), vdemeester(2), trinitronx(2), iolufemi(2), hcvst(2), mcandre(2), liefeld(2), sbasyal(2), hoangvuit(2), bcwalrus(3), audreyr(2), strarsis(2), bobrik(2), agarwalyashash(2), retog(2), aanm(2), matthewwiggins(2), envygeeks(2), amar-sanakal(2), fike(2), dustymabe(2), jkingyens(2), mattpatey(2), nikhilvs(2), d7h(2), maport(2), cswarth(3), n0mer(3), sfate(2), oryband(6), Miguel-Fontes(2), inadarei(3), lvlie(2), jgkamat(2), lethalman(2), na3r(2), knickers(2), richburdon(2), gregmac(2), d4goxn(2), rrarunan(5), michaelwilde(2), altninja(2), edcottrell(2), leonfs(2), agilliland(2), orlade(2), MohammadsM(2), kristiehoward(4), wulfgarpro(2), joeldrapper(2), eNcacz(2), Skeen(2), hekaldama(2), xamox(2), DJBnjack(3), bencao(2), rsutormin(2), buley(2), carlitux(3), shib1000(2), OrangeCrush(2), kytrinyx(2), kencochrane(3), phemmer(2), ebonharme(2), gchan(2), runseb(2), mkjsix(2), Kaixhin(2), samos123(2), avinashsonee(3), RX14(2), picoded(2), fusengine(3), sheerun(2), schmunk42(2), aaronlehmann(2), christoph-hipp(2), kellyp(2), zdm(2), yuksbg(2), jheander(2), n8io(2), mato(3), JeremJR(2), jfisbein(2), AdieSutcliffe(2), sserrano44(2), nhsiehgit(4), Brett55(2), farolfo(2), F21(3), DavidR91(2), frioux(2), neo-apz(2), damienleger(2), dustinlacewell(2), gerardo8a(2), bboreham(2), labkode(2), marcelofelix(2), zjyExcelsior(2), stepanic(2), dg-ratiodata(2), madeleineth(2), alpegon(2), vsimonian(2), cusspvz(3), shift(2), cespujunk66(2), ruffsl(2), nanawel(2), ChristopherBiscardi(7), awilson-cloudpassage(2), scottdraves(2), bhalothia(2), eyal-rounds(2), shadowbq(3), wernight(2), jason-tian(2), mitar(2), thaJeztah(3), donpark(2), jawnsy(2), mghazizadeh(4), chrisvire(2), binhex(2), adamkdean(2), rippinrobr(2), tibolami(2), RongxinZhang(2), clehene(2), dcylabs(2), dszryan(2), kentmw(2), xbglowx(2), teodorescuserban(3), kizbitz(2), markoshust(2), marcusmartins(2), gajop(2), mike-jumper(2), danderson(2), kenny1986(2), ppadial(2), tdanielcox(2), chriswayg(2), jmcejuela(2), Karm(2), fgalan(2), brunzefb(2), janeczku(4), kadishmal(2), interactiveblueprints(2), urbanchaosmnky(2), marcelstoer(2), rafalwrzeszcz(2), mariusgrigaitis(2), jeroentbt(2), hbenbenishti(2). And the total contributions count is 617.\n" + "The bus factor developers for docker/hub-feedback in 2015Q4 are: koszikot(3), joeldrapper(2), kristiehoward(4), neo-apz(2), hoangvuit(2), wulfgarpro(2), lethalman(2), ebonharme(2), gerardo8a(2), fusengine(3), bhalothia(2), cusspvz(3), aaronlehmann(2), pik(2), picoded(2), jeroentbt(2), jmcejuela(2), fgalan(2), siavashs(2), OrangeCrush(2), cswarth(3), frioux(2), janeczku(4), fike(2), Tritlo(2), stepanic(2), sbasyal(2), christoph-hipp(2), jakirkham(10), labkode(2), n0mer(3), zjyExcelsior(2), urbanchaosmnky(2), wernight(2), AdieSutcliffe(2), envygeeks(2), DJBnjack(3), d4goxn(2), vsimonian(2), maport(2), sserrano44(2), iolufemi(2), teodorescuserban(3), nikhilvs(2), strarsis(2), agilliland(2), posita(5), eyal-rounds(2), bencao(2), danderson(2), jgkamat(2), clehene(2), jheander(2), mattpatey(2), altninja(2), matthewwiggins(2), nhumrich(2), marcelstoer(2), marcusmartins(2), gchan(2), mike-jumper(2), cespujunk66(2), Miguel-Fontes(2), kadishmal(2), schmunk42(2), xbglowx(2), rippinrobr(2), RX14(2), dustinlacewell(2), liefeld(2), scottdraves(2), avinashsonee(3), amar-sanakal(2), eNcacz(2), yuksbg(2), gregkeys(2), hbenbenishti(2), damienleger(2), rsutormin(2), richburdon(2), Brett55(2), SebOnAir(2), bcwalrus(3), zdm(2), JeremJR(2), kytrinyx(2), jrhouston(2), mato(3), ei-grad(2), xamox(2), tdanielcox(2), adamkdean(2), shift(2), kencochrane(3), na3r(2), kenny1986(2), chriswayg(2), hcvst(2), GrahamDumpleton(2), shib1000(2), aanm(2), kizbitz(2), kentmw(2), samos123(2), jfisbein(2), bboreham(2), knickers(2), rrarunan(5), Karm(2), kellyp(2), dcylabs(2), ppadial(2), edcottrell(2), bobrik(2), jawnsy(2), audreyr(2), orlade(2), dg-ratiodata(2), timlinux(2), phemmer(2), nathan-osman(2), donpark(2), dciccale(2), d7h(2), binhex(2), chrisvire(2), n8io(2), mitar(2), ahmetalpbalkan(3), markoshust(2), mkjsix(2), madeleineth(2), RongxinZhang(2), marcelofelix(2), lvlie(2), shadowbq(3), farolfo(2), vdemeester(2), carlitux(3), mcandre(2), sfate(2), hekaldama(2), buley(2), yoanisgil(2), dszryan(2), thaJeztah(3), awilson-cloudpassage(2), rafalwrzeszcz(2), jkingyens(2), retog(2), MohammadsM(2), Skeen(2), nanawel(2), runseb(2), trinitronx(2), edasque(2), interactiveblueprints(2), inadarei(3), agarwalyashash(2), oryband(6), F21(3), michaelwilde(2), gregmac(2), Kaixhin(2), nhsiehgit(4), gajop(2), tibolami(2), sheerun(2), ruffsl(2), alpegon(2), jason-tian(2), DavidR91(2), ChristopherBiscardi(7), leonfs(2), mariusgrigaitis(2), dustymabe(2), mghazizadeh(4), hainesr(2), brunzefb(2). And the total contributions count is 617.\n" ] }, { @@ -9514,7 +6967,7 @@ }, { "mode": "scatter", - "name": "fex-team/webuploader", + "name": "angular/angular.js", "x": [ "1", "2", @@ -9522,9 +6975,9 @@ "4" ], "y": [ - "35", - "37", - "47", + "80", + "65", + "191", "160" ] }, @@ -9540,13 +6993,13 @@ "y": [ "52", "43", - "60", + "61", "160" ] }, { "mode": "scatter", - "name": "angular/angular.js", + "name": "fex-team/webuploader", "x": [ "1", "2", @@ -9554,10 +7007,10 @@ "4" ], "y": [ - "80", - "65", - "190", - "158" + "35", + "37", + "47", + "160" ] }, { @@ -9571,7 +7024,7 @@ ], "y": [ "46", - "132", + "133", "130", "132" ] @@ -9621,7 +7074,7 @@ "0", "0", "0", - "79" + "80" ] } ], @@ -9633,8 +7086,8 @@ "xaxis": { "autorange": true, "range": [ - -0.17955459325703682, - 3.179554593257037 + -0.18167086784299608, + 3.181670867842996 ], "type": "category" }, @@ -9648,9 +7101,9 @@ } } }, - "image/png": 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" }, - "execution_count": 9, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -9680,14 +7133,14 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The bus factor developers for mozilla/gecko-projects in 2015Q4 are: L. David Baron(13), Markus Stange(13), Xidorn Quan(22), Valentin Gosu(15), Bob Clary(12), Tom Tromey(16), Rail Aliiev(52), David Anderson(19), Carsten \"Tomcat\" Book(35), Jan de Mooij(34), Christoph Kerschbaumer(20), Cameron McCormack(20), Chris Peterson(12), Tooru Fujisawa(13), Jon Coppeard(30), Andreas Pehrson(20), Ben Kelly(17), Kartikaya Gupta(15), Andrea Marchesini(15), Nick Fitzgerald(15), Gregor Wagner(14), Nicolas Silva(17), B2G Bumper Bot(98), Wes Kocher(35), Ehsan Akhgari(25), Nicholas Nethercote(41), Gerald Squelart(50), Nick Alexander(13), Jim Chen(16), Jean-Yves Avenard(14), JW Wang(41), Florian Quèze(39), Karl Tomlinson(47), Bevis Tseng(14), Gijs Kruitbosch(27), Nick Thomas(14), Mark Banner(18). And the total contributions count is 1838.\n" + "The bus factor developers for nwjs/chromium.src in 2015Q4 are: pfeldman(2), Vaclav Brozek(3), Roger Wang(73), johannkoenig(2), sataya.m(2), chrome-tpm(25), Nathan Parker(2), Alexander Alekseev(2), caseq(2), Shu Chen(3), paulmeyer(4), asanka(2), Tina Zhou(2), bruening(2), avayvod(2), glevin(2), dcheng(2), wkorman(2), dominickn(2), twellington(2), Alex Mineer(3), miguelg(2), xjz(2), wangxianzhu@google.com(4), Daniel Cheng(2), calamity(2), blink-deps-roller(5), mgiuca(2), rob.buis(2), sigbjornf(3), boliu(2), jyquinn(2), Sunny Sachanandani(2), Cong Liu(7), cco3(2), yawano(2), Chris Cunningham(2), Dharani Govindan(2), kkhorimoto(2), sacomoto(2), erikchen(4), tengs(4), davidben(2), Ian Wen(2), kelvinp(2), esprehn(2), Xianzhu Wang(3), sigbjornf@opera.com(4), dfalcantara@chromium.org(2), Daniel Nicoara(2), sergeyv(2), mlamouri(2), Scott Little(2), bokan(2), aiolos(2), alexclarke(3), Dana Jansens(2), Roger(8), thestig(3), yoav(3), vasilii(3). And the total contributions count is 333.\n" ] }, { @@ -9696,7 +7149,7 @@ "data": [ { "mode": "scatter", - "name": "mozilla/gecko-projects", + "name": "nwjs/chromium.src", "x": [ "1", "2", @@ -9704,15 +7157,15 @@ "4" ], "y": [ - "38", - "25", - "41", - "37" + "73", + "2", + "14", + "61" ] }, { "mode": "scatter", - "name": "mozilla/gecko-dev", + "name": "Azure/azure-content", "x": [ "1", "2", @@ -9720,15 +7173,15 @@ "4" ], "y": [ - "35", - "39", - "42", - "36" + "16", + "24", + "22", + "37" ] }, { "mode": "scatter", - "name": "magento/magento2", + "name": "mozilla/gecko-projects", "x": [ "1", "2", @@ -9736,31 +7189,31 @@ "4" ], "y": [ - "17", - "12", - "27", - "26" + "38", + "25", + "41", + "37" ] }, { "mode": "scatter", - "name": "google/capsicum-linux", + "name": "mozilla/gecko-dev", "x": [ "1", "2", "3", "4" ], - "y": [ - "27", - "79", - "8", - "23" + "y": [ + "35", + "39", + "42", + "36" ] }, { "mode": "scatter", - "name": "Huawei-PaaS/kubernetes", + "name": "magento/magento2", "x": [ "1", "2", @@ -9768,14 +7221,15 @@ "4" ], "y": [ - "0", - "0", - "22" + "17", + "13", + "28", + "26" ] }, { "mode": "scatter", - "name": "mozilla/loop-client-l10n", + "name": "google/capsicum-linux", "x": [ "1", "2", @@ -9783,15 +7237,15 @@ "4" ], "y": [ - "2", - "1", + "27", + "79", "8", - "19" + "23" ] }, { "mode": "scatter", - "name": "apache/spark", + "name": "Microsoft/llvm", "x": [ "1", "2", @@ -9799,15 +7253,15 @@ "4" ], "y": [ - "13", - "14", - "15", + "0", + "17", + "18", "17" ] }, { "mode": "scatter", - "name": "Microsoft/llvm", + "name": "mozilla/pontoon-intro", "x": [ "1", "2", @@ -9816,14 +7270,14 @@ ], "y": [ "0", - "17", - "18", + "3", + "1", "17" ] }, { "mode": "scatter", - "name": "SequoiaDB/spark", + "name": "apache/spark", "x": [ "1", "2", @@ -9831,13 +7285,15 @@ "4" ], "y": [ - "6", + "14", + "14", + "15", "17" ] }, { "mode": "scatter", - "name": "mozilla/pontoon-intro", + "name": "nwjs/blink", "x": [ "1", "2", @@ -9845,10 +7301,10 @@ "4" ], "y": [ - "0", + "4", "3", - "2", - "17" + "13", + "16" ] } ], @@ -9860,8 +7316,8 @@ "xaxis": { "autorange": true, "range": [ - -0.17864328830123605, - 3.178643288301236 + -0.18167086784299608, + 3.181670867842996 ], "type": "category" }, @@ -9875,9 +7331,9 @@ } } }, - "image/png": 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" + "image/png": 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" }, - "execution_count": 10, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -9908,14 +7364,14 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Change Requests Accepted ratio value for Microsoft is [\"1.9%\",\"5.1%\",\"6.2%\",\"7.9%\",\"8.1%\",\"7.9%\",\"7.2%\",\"9.0%\",\"9.9%\",\"12%\",\"12%\",\"12%\"]\n" + "Change Requests Accepted ratio value for Microsoft is [\"2.5%\",\"5.5%\",\"6.7%\",\"7.8%\",\"7.7%\",\"7.9%\",\"7.5%\",\"9.0%\",\"10%\",\"12%\",\"12%\",\"12%\"]\n" ] }, { @@ -9940,18 +7396,18 @@ "12" ], "y": [ - "312", - "828", - "1018", - "1286", - "1331", - "1291", - "1184", - "1480", - "1612", - "1994", - "2021", - "2001" + "600", + "1316", + "1584", + "1866", + "1831", + "1886", + "1790", + "2142", + "2387", + "2793", + "2772", + "2844" ] }, { @@ -9972,18 +7428,18 @@ "12" ], "y": [ - "1048", - "1306", - "1762", - "1935", - "1930", - "1632", + "1050", + "1310", + "1766", + "1939", + "1932", + "1635", "1913", - "1737", - "2066", - "2424", - "1802", - "1748" + "1740", + "2071", + "2427", + "1803", + "1755" ] }, { @@ -10004,18 +7460,18 @@ "12" ], "y": [ - "1678", - "1892", - "1864", - "1719", - "1582", - "1711", - "1876", - "1992", - "1619", - "1714", - "1913", - "1156" + "1685", + "1898", + "1873", + "1724", + "1587", + "1712", + "1880", + "1997", + "1623", + "1716", + "1915", + "1159" ] }, { @@ -10036,18 +7492,18 @@ "12" ], "y": [ - "493", - "511", - "733", - "774", - "713", - "654", - "848", + "496", + "512", + "737", + "776", + "715", + "655", + "850", "605", "620", - "847", - "756", - "769" + "849", + "758", + "770" ] }, { @@ -10068,16 +7524,16 @@ "12" ], "y": [ - "574", - "774", - "817", - "645", - "591", - "770", + "576", + "781", + "819", + "646", + "592", + "771", "780", - "556", + "558", "571", - "652", + "653", "522", "608" ] @@ -10100,18 +7556,18 @@ "12" ], "y": [ - "351", - "437", - "523", + "352", + "438", + "525", "559", - "479", - "452", - "511", + "480", + "453", + "515", "489", - "521", - "603", + "522", + "604", "468", - "522" + "523" ] }, { @@ -10137,13 +7593,13 @@ "156", "279", "359", - "365", - "351", + "366", + "352", "468", - "618", - "536", + "619", + "538", "688", - "513" + "517" ] }, { @@ -10167,14 +7623,14 @@ "309", "301", "329", - "283", + "286", "206", "211", "231", "368", "358", - "257", - "454", + "258", + "455", "442" ] }, @@ -10196,18 +7652,18 @@ "12" ], "y": [ - "172", + "173", "179", "160", "289", "295", "287", - "187", + "189", "147", - "198", - "438", - "386", - "371" + "199", + "439", + "388", + "373" ] }, { @@ -10230,16 +7686,16 @@ "y": [ "181", "255", - "260", + "264", "242", "277", "217", - "273", + "275", + "282", + "254", + "371", "281", - "253", - "366", - "280", - "310" + "312" ] }, { @@ -10260,17 +7716,17 @@ "12" ], "y": [ - "201", - "204", - "280", - "239", - "294", - "280", - "336", - "347", - "268", - "340", - "280", + "203", + "206", + "281", + "244", + "295", + "288", + "341", + "353", + "275", + "343", + "286", "263" ] }, @@ -10292,18 +7748,18 @@ "12" ], "y": [ - "231", + "232", "167", "202", "204", - "218", - "262", - "276", - "248", - "228", + "219", + "269", + "277", + "249", + "230", "232", - "288", - "225" + "290", + "226" ] }, { @@ -10326,16 +7782,48 @@ "y": [ "92", "83", - "83", + "84", "120", "147", - "134", + "135", "173", - "234", + "235", "182", "164", - "183", - "223" + "186", + "225" + ] + }, + { + "mode": "scatter", + "name": "Uber", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "69", + "171", + "204", + "272", + "161", + "223", + "358", + "281", + "260", + "397", + "259", + "217" ] }, { @@ -10356,17 +7844,17 @@ "12" ], "y": [ - "45", - "126", - "164", - "126", - "142", - "107", + "49", "129", - "94", - "108", + "165", + "128", + "143", + "107", + "130", + "95", + "109", "151", - "179", + "180", "200" ] }, @@ -10390,18 +7878,50 @@ "y": [ "300", "186", - "233", - "334", + "234", + "335", "277", - "393", + "395", "317", "405", - "589", + "590", "272", "272", "194" ] }, + { + "mode": "scatter", + "name": "Twitter", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "208", + "183", + "118", + "148", + "157", + "138", + "138", + "187", + "154", + "92", + "172", + "179" + ] + }, { "mode": "scatter", "name": "Mulesoft", @@ -10452,20 +7972,52 @@ "12" ], "y": [ - "104", + "107", + "157", "155", - "154", - "163", + "164", "128", - "252", + "254", "173", "163", - "156", - "173", - "159", + "160", + "175", + "162", "164" ] }, + { + "mode": "scatter", + "name": "Alibaba", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "47", + "28", + "41", + "70", + "42", + "56", + "89", + "75", + "94", + "72", + "104", + "147" + ] + }, { "mode": "scatter", "name": "Neo4j", @@ -10492,7 +8044,7 @@ "150", "109", "149", - "209", + "211", "243", "188", "138" @@ -10500,7 +8052,7 @@ }, { "mode": "scatter", - "name": "Linux China", + "name": "Adobe", "x": [ "1", "2", @@ -10516,23 +8068,23 @@ "12" ], "y": [ - "150", - "97", - "106", - "186", - "167", - "134", - "97", - "185", + "132", "94", - "76", - "84", - "135" + "119", + "127", + "91", + "119", + "222", + "220", + "307", + "335", + "137", + "136" ] }, { "mode": "scatter", - "name": "Adobe", + "name": "Linux China", "x": [ "1", "2", @@ -10548,17 +8100,17 @@ "12" ], "y": [ - "132", + "150", + "97", + "106", + "186", + "167", + "134", + "97", + "185", "94", - "117", - "127", - "88", - "119", - "213", - "216", - "306", - "334", - "137", + "76", + "84", "135" ] }, @@ -10596,7 +8148,7 @@ }, { "mode": "scatter", - "name": "Alibaba", + "name": "Rapid7", "x": [ "1", "2", @@ -10612,18 +8164,18 @@ "12" ], "y": [ - "34", - "29", - "30", - "64", - "36", - "59", - "83", - "54", - "66", - "61", - "89", - "127" + "140", + "189", + "181", + "221", + "173", + "141", + "154", + "109", + "127", + "110", + "104", + "122" ] }, { @@ -10650,44 +8202,12 @@ "68", "60", "54", - "76", - "95", + "77", + "96", "76", "105", "144", - "119" - ] - }, - { - "mode": "scatter", - "name": "Rapid7", - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "135", - "187", - "178", - "217", - "169", - "137", - "150", - "108", - "124", - "108", - "103", - "117" + "120" ] }, { @@ -10711,15 +8231,15 @@ "60", "64", "72", - "88", - "72", + "89", + "74", "40", "55", "60", "87", "100", "64", - "103" + "104" ] }, { @@ -10740,17 +8260,17 @@ "12" ], "y": [ - "77", + "78", "43", "65", "67", - "40", + "42", "51", "47", "48", "68", - "116", - "69", + "117", + "70", "91" ] }, @@ -10776,7 +8296,7 @@ "79", "138", "113", - "69", + "70", "102", "71", "75", @@ -10811,9 +8331,9 @@ "42", "29", "50", - "86", + "88", "58", - "87", + "88", "166", "88" ] @@ -10836,23 +8356,151 @@ "12" ], "y": [ - "116", - "85", - "100", - "119", - "74", + "117", "86", - "88", + "100", + "120", "75", + "88", + "88", + "77", "75", - "58", + "59", "53", + "72" + ] + }, + { + "mode": "scatter", + "name": "Pivotal", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "74", + "91", + "70", + "73", + "67", + "96", + "69", + "68", + "88", + "108", + "62", "70" ] }, { "mode": "scatter", - "name": "Pivotal", + "name": "Segment", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "68", + "93", + "83", + "105", + "101", + "82", + "85", + "52", + "92", + "97", + "31", + "59" + ] + }, + { + "mode": "scatter", + "name": "Blue Spire", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "55", + "76", + "49", + "100", + "74", + "83", + "83", + "95", + "60", + "52", + "60", + "55" + ] + }, + { + "mode": "scatter", + "name": "Anaconda", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "3", + "4", + "8", + "7", + "6", + "9", + "22", + "16", + "9", + "42", + "61", + "46" + ] + }, + { + "mode": "scatter", + "name": "CTrip", "x": [ "1", "2", @@ -10868,23 +8516,23 @@ "12" ], "y": [ - "74", - "88", - "70", - "71", - "61", - "90", - "64", + "0", + "3", + "21", + "98", + "84", + "122", + "150", + "96", "67", - "88", - "107", - "62", - "68" + "41", + "47", + "44" ] }, { "mode": "scatter", - "name": "Segment", + "name": "Alfresco", "x": [ "1", "2", @@ -10900,23 +8548,23 @@ "12" ], "y": [ - "68", - "92", - "83", - "103", - "99", - "80", + "24", + "87", + "113", "85", - "51", - "92", - "96", - "31", - "59" + "76", + "110", + "122", + "104", + "122", + "65", + "116", + "44" ] }, { "mode": "scatter", - "name": "Ant group", + "name": "Samsung", "x": [ "1", "2", @@ -10933,22 +8581,22 @@ ], "y": [ "0", - "0", - "0", - "0", - "0", - "9", - "37", - "47", - "23", - "43", + "4", + "4", "44", - "50" + "56", + "38", + "137", + "121", + "43", + "43", + "54", + "44" ] }, { "mode": "scatter", - "name": "CTrip", + "name": "Xiaomi", "x": [ "1", "2", @@ -10965,22 +8613,22 @@ ], "y": [ "0", - "3", - "21", - "98", - "84", - "122", - "150", - "96", + "0", + "1", + "6", + "1", + "7", + "24", + "45", "67", - "41", - "47", - "44" + "73", + "37", + "40" ] }, { "mode": "scatter", - "name": "Alfresco", + "name": "NVIDIA", "x": [ "1", "2", @@ -10996,18 +8644,18 @@ "12" ], "y": [ - "24", - "87", - "113", - "85", - "76", - "110", - "122", - "104", - "122", - "65", - "116", - "44" + "1", + "2", + "7", + "11", + "6", + "3", + "8", + "29", + "47", + "44", + "47", + "40" ] }, { @@ -11036,10 +8684,10 @@ "32", "28", "17", - "28", - "35", + "29", + "36", "33", - "38" + "39" ] }, { @@ -11067,7 +8715,7 @@ "17", "23", "17", - "35", + "36", "25", "32", "14", @@ -11128,8 +8776,8 @@ "79", "48", "30", - "59", - "50", + "60", + "51", "92", "12", "23", @@ -11157,8 +8805,8 @@ ], "y": [ "28", - "24", - "45", + "25", + "46", "26", "29", "31", @@ -11204,7 +8852,7 @@ }, { "mode": "scatter", - "name": "Magento", + "name": "Intel", "x": [ "1", "2", @@ -11220,18 +8868,18 @@ "12" ], "y": [ - "60", - "33", - "38", - "24", - "24", - "18", - "28", - "13", - "23", - "31", - "19", - "28" + "12", + "10", + "9", + "8", + "1", + "1", + "3", + "0", + "0", + "2", + "11", + "26" ] }, { @@ -11260,7 +8908,7 @@ "4", "8", "6", - "125", + "126", "21", "22", "20" @@ -11477,7 +9125,7 @@ ], "y": [ "9", - "9", + "10", "0", "0", "6", @@ -11554,70 +9202,6 @@ "8" ] }, - { - "mode": "scatter", - "name": "IBM", - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "12", - "17", - "6", - "13", - "12", - "11", - "13", - "3", - "5", - "4", - "6", - "8" - ] - }, - { - "mode": "scatter", - "name": "Huawei", - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "1", - "0", - "0", - "0", - "2", - "8" - ] - }, { "mode": "scatter", "name": "OpenResty", @@ -11652,7 +9236,7 @@ }, { "mode": "scatter", - "name": "SequoiaDB", + "name": "IBM", "x": [ "1", "2", @@ -11668,21 +9252,23 @@ "12" ], "y": [ - "1", - "0", - "1", - "0", - "0", - "2", - "23", - "19", "12", - "6" + "17", + "6", + "13", + "12", + "11", + "13", + "3", + "5", + "4", + "6", + "8" ] }, { "mode": "scatter", - "name": "DCloud", + "name": "Huawei", "x": [ "1", "2", @@ -11700,15 +9286,16 @@ "y": [ "0", "0", - "1", "0", "0", - "1", "0", "0", + "1", + "0", "0", "0", - "5" + "2", + "8" ] }, { @@ -11730,7 +9317,7 @@ ], "y": [ "5", - "6", + "7", "19", "6", "11", @@ -11745,7 +9332,7 @@ }, { "mode": "scatter", - "name": "Juejin", + "name": "Deepmind", "x": [ "1", "2", @@ -11761,7 +9348,17 @@ "12" ], "y": [ - "0", + "7", + "9", + "3", + "3", + "3", + "1", + "3", + "2", + "7", + "22", + "9", "3" ] }, @@ -11799,7 +9396,7 @@ }, { "mode": "scatter", - "name": "Nicira", + "name": "Netlify", "x": [ "1", "2", @@ -11816,15 +9413,80 @@ ], "y": [ "1", - "2", "0", "1", + "4", + "10", + "2", + "14", + "8", + "1", + "10", + "14", + "2" + ] + }, + { + "mode": "scatter", + "name": "Redis Labs", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "8", + "7", + "7", + "8", + "4", + "2", "0", "1", + "2", + "4", + "8", + "2" + ] + }, + { + "mode": "scatter", + "name": "Bilibili", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ "0", "0", + "0", + "0", + "2", + "0", + "1", "1", "0", + "2", + "3", "2" ] }, @@ -11862,7 +9524,7 @@ }, { "mode": "scatter", - "name": "ForgeRock", + "name": "Confluent", "x": [ "1", "2", @@ -11881,19 +9543,20 @@ "0", "0", "0", - "2", "0", "0", "0", "0", "0", - "1", - "2" + "0", + "0", + "0", + "1" ] }, { "mode": "scatter", - "name": "Bilibili", + "name": "Youzan", "x": [ "1", "2", @@ -11913,19 +9576,19 @@ "0", "0", "0", - "2", "0", - "1", - "1", + "0", + "0", + "0", "0", "2", - "3", - "2" + "1", + "1" ] }, { "mode": "scatter", - "name": "Confluent", + "name": "Tencent", "x": [ "1", "2", @@ -11943,15 +9606,15 @@ "y": [ "0", "0", + "4", "0", + "3", "0", "0", "0", "0", "0", - "0", - "0", - "0", + "2", "1" ] }, @@ -11989,7 +9652,7 @@ }, { "mode": "scatter", - "name": "Tencent", + "name": "Artelnics", "x": [ "1", "2", @@ -12007,21 +9670,21 @@ "y": [ "0", "0", - "4", "0", - "3", "0", "0", "0", "0", "0", - "2", + "0", + "0", + "0", "1" ] }, { "mode": "scatter", - "name": "Redis Labs", + "name": "Juejin", "x": [ "1", "2", @@ -12037,18 +9700,50 @@ "12" ], "y": [ - "8", - "7", + "0", + "3", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0" + ] + }, + { + "mode": "scatter", + "name": "Nicira", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", "7", "8", - "4", + "9", + "10", + "11", + "12" + ], + "y": [ + "1", "2", "0", "1", + "0", + "1", + "0", + "0", + "1", + "0", "2", - "4", - "8", - "1" + "0" ] }, { @@ -12072,7 +9767,15 @@ "1", "0", "0", - "1" + "1", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0" ] }, { @@ -12103,12 +9806,13 @@ "0", "0", "3", - "1" + "1", + "0" ] }, { "mode": "scatter", - "name": "Xiaomi", + "name": "SequoiaDB", "x": [ "1", "2", @@ -12124,20 +9828,55 @@ "12" ], "y": [ - "0", + "1", "0", "1", + "0", + "0", + "2", + "23", + "19", + "12", "6", + "0", + "0" + ] + }, + { + "mode": "scatter", + "name": "DCloud", + "x": [ "1", - "7", "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ "0", - "1" + "0", + "1", + "0", + "0", + "1", + "0", + "0", + "0", + "0", + "5", + "0" ] }, { "mode": "scatter", - "name": "Youzan", + "name": "ForgeRock", "x": [ "1", "2", @@ -12156,15 +9895,47 @@ "0", "0", "0", + "2", "0", "0", "0", "0", "0", + "1", + "2", + "0" + ] + }, + { + "mode": "scatter", + "name": "H2O AI", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "2", + "1", + "1", "0", + "3", + "3", + "2", "2", + "2", + "0", "1", - "1" + "0" ] } ], @@ -12176,24 +9947,24 @@ "xaxis": { "autorange": true, "range": [ - -0.6526946107784433, - 11.652694610778443 + -0.657337367624811, + 11.65733736762481 ], "type": "category" }, "yaxis": { "autorange": true, "range": [ - -200.03883495145632, - 2624.0388349514565 + -234.6990291262136, + 3078.6990291262136 ], "type": "linear" } } }, - "image/png": 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" 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" }, - "execution_count": 11, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -12224,14 +9995,14 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Change Requests Declined ratio value for Google is [\"5.1%\",\"5.1%\",\"5.9%\",\"6.7%\",\"5.9%\",\"6.8%\",\"8.3%\",\"8.7%\",\"11%\",\"13%\",\"11%\",\"13%\"]\n" + "Change Requests Declined ratio value for Google is [\"5.0%\",\"5.1%\",\"6.0%\",\"6.8%\",\"6.0%\",\"6.8%\",\"8.2%\",\"8.6%\",\"11%\",\"13%\",\"11%\",\"13%\"]\n" ] }, { @@ -12256,18 +10027,18 @@ "12" ], "y": [ - "587", - "592", - "682", - "775", - "680", - "788", - "955", - "1000", - "1292", - "1473", - "1218", - "1485" + "594", + "605", + "709", + "809", + "711", + "810", + "974", + "1014", + "1337", + "1514", + "1243", + "1507" ] }, { @@ -12288,23 +10059,23 @@ "12" ], "y": [ - "377", - "593", - "436", - "500", - "717", - "580", - "727", - "707", - "448", - "424", - "664", - "513" + "395", + "619", + "439", + "535", + "730", + "597", + "740", + "726", + "489", + "440", + "678", + "580" ] }, { "mode": "scatter", - "name": "Meta", + "name": "Microsoft", "x": [ "1", "2", @@ -12320,23 +10091,23 @@ "12" ], "y": [ - "169", - "188", - "258", - "436", - "327", - "348", - "405", - "346", - "459", - "569", - "503", - "500" + "167", + "293", + "264", + "306", + "296", + "307", + "342", + "371", + "396", + "575", + "485", + "560" ] }, { "mode": "scatter", - "name": "Microsoft", + "name": "Meta", "x": [ "1", "2", @@ -12352,18 +10123,18 @@ "12" ], "y": [ - "108", - "186", - "179", - "198", - "183", - "201", - "201", - "227", - "246", - "392", - "326", - "393" + "177", + "190", + "277", + "463", + "376", + "401", + "511", + "459", + "505", + "590", + "549", + "514" ] }, { @@ -12384,17 +10155,17 @@ "12" ], "y": [ - "175", - "214", - "199", + "176", + "215", + "202", "206", - "263", - "372", - "382", - "368", - "252", - "299", - "304", + "266", + "380", + "386", + "370", + "256", + "302", + "305", "296" ] }, @@ -12416,18 +10187,18 @@ "12" ], "y": [ - "208", - "143", - "183", + "209", + "150", + "185", "276", - "149", - "316", - "303", - "264", - "267", - "225", - "120", - "253" + "150", + "319", + "306", + "266", + "270", + "226", + "127", + "254" ] }, { @@ -12450,16 +10221,16 @@ "y": [ "0", "0", - "159", - "276", - "337", + "160", + "277", + "341", "215", - "216", + "253", "172", - "202", + "203", "231", - "296", - "242" + "299", + "252" ] }, { @@ -12480,18 +10251,18 @@ "12" ], "y": [ - "378", - "401", - "348", - "351", - "351", - "331", + "379", + "407", + "350", + "353", + "360", + "333", "343", - "369", - "304", - "370", - "381", - "231" + "375", + "309", + "375", + "399", + "237" ] }, { @@ -12512,17 +10283,17 @@ "12" ], "y": [ - "148", - "144", - "233", - "230", - "209", - "158", - "250", - "219", - "171", - "282", - "194", + "151", + "145", + "239", + "235", + "210", + "160", + "252", + "221", + "172", + "286", + "197", "167" ] }, @@ -12544,18 +10315,18 @@ "12" ], "y": [ - "172", - "243", - "270", - "149", + "174", + "254", + "274", + "153", "142", - "167", - "155", + "169", + "156", "142", - "137", + "138", "136", "129", - "147" + "148" ] }, { @@ -12577,14 +10348,14 @@ ], "y": [ "124", - "76", - "193", - "104", + "82", + "195", + "105", "74", - "101", - "64", - "60", + "107", "66", + "60", + "72", "87", "89", "123" @@ -12616,15 +10387,15 @@ "0", "34", "58", - "71", + "72", "138", "201", - "111" + "113" ] }, { "mode": "scatter", - "name": "JetBrains", + "name": "Cloudbees", "x": [ "1", "2", @@ -12640,23 +10411,23 @@ "12" ], "y": [ - "23", - "88", - "90", - "62", - "69", - "84", - "41", - "36", - "46", "86", - "60", - "89" + "87", + "87", + "96", + "85", + "100", + "134", + "123", + "109", + "149", + "123", + "93" ] }, { "mode": "scatter", - "name": "Cloudbees", + "name": "JetBrains", "x": [ "1", "2", @@ -12672,17 +10443,17 @@ "12" ], "y": [ + "23", + "88", + "90", + "62", + "69", + "84", + "41", + "36", + "46", "86", - "87", - "87", - "96", - "83", - "96", - "132", - "119", - "108", - "144", - "122", + "60", "89" ] }, @@ -12720,7 +10491,7 @@ }, { "mode": "scatter", - "name": "Alibaba", + "name": "Twitter", "x": [ "1", "2", @@ -12736,23 +10507,55 @@ "12" ], "y": [ - "73", - "72", + "76", + "105", + "93", + "140", "82", - "73", - "86", - "94", - "72", - "106", - "114", - "94", - "100", - "83" + "96", + "116", + "124", + "89", + "93", + "103", + "78" + ] + }, + { + "mode": "scatter", + "name": "HashiCorp", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "23", + "24", + "24", + "37", + "48", + "41", + "27", + "37", + "24", + "72", + "62", + "74" ] }, { "mode": "scatter", - "name": "HashiCorp", + "name": "Netflix", "x": [ "1", "2", @@ -12768,23 +10571,23 @@ "12" ], "y": [ - "23", - "23", - "23", - "36", - "47", "40", + "44", + "42", "27", - "36", - "24", - "71", - "62", - "74" + "29", + "37", + "35", + "37", + "57", + "45", + "50", + "72" ] }, { "mode": "scatter", - "name": "Netflix", + "name": "Alibaba", "x": [ "1", "2", @@ -12800,18 +10603,18 @@ "12" ], "y": [ - "40", - "42", - "41", - "27", - "29", - "36", - "35", - "37", - "57", - "45", - "46", - "56" + "23", + "5", + "9", + "7", + "9", + "11", + "19", + "28", + "11", + "13", + "18", + "57" ] }, { @@ -12835,14 +10638,14 @@ "11", "19", "9", - "34", + "36", + "17", "14", - "12", "18", "17", "10", "16", - "17", + "25", "56" ] }, @@ -12867,13 +10670,13 @@ "37", "41", "59", - "32", + "33", "46", "68", "38", "71", "71", - "92", + "93", "72", "55" ] @@ -12932,10 +10735,10 @@ "46", "87", "66", - "89", + "90", "93", "108", - "59", + "66", "78", "65", "57", @@ -12961,22 +10764,22 @@ ], "y": [ "31", - "61", - "47", + "62", + "50", "47", "56", - "63", + "66", "58", "46", - "30", - "53", + "32", + "54", "57", - "47" + "49" ] }, { "mode": "scatter", - "name": "Pentaho", + "name": "Cloudera", "x": [ "1", "2", @@ -12992,23 +10795,23 @@ "12" ], "y": [ - "40", - "9", - "24", + "4", + "4", + "6", + "10", + "4", + "5", + "22", + "53", + "17", + "17", "24", - "26", - "58", - "42", - "86", - "86", - "28", - "27", "35" ] }, { "mode": "scatter", - "name": "Cloudera", + "name": "Pentaho", "x": [ "1", "2", @@ -13024,17 +10827,17 @@ "12" ], "y": [ - "4", - "4", - "6", - "10", - "4", - "5", - "22", - "53", - "17", - "17", + "40", + "9", + "25", "24", + "26", + "59", + "42", + "86", + "86", + "28", + "27", "35" ] }, @@ -13120,17 +10923,17 @@ "12" ], "y": [ - "34", + "37", "35", "53", "40", "42", "40", "56", - "72", - "61", + "76", + "62", "52", - "43", + "45", "30" ] }, @@ -13159,16 +10962,144 @@ "7", "6", "0", - "2", - "14", - "5", - "3", - "28" + "2", + "14", + "5", + "3", + "28" + ] + }, + { + "mode": "scatter", + "name": "Adobe", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "83", + "56", + "23", + "62", + "22", + "30", + "60", + "40", + "62", + "163", + "42", + "27" + ] + }, + { + "mode": "scatter", + "name": "Segment", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "20", + "21", + "23", + "24", + "26", + "36", + "37", + "18", + "43", + "26", + "10", + "23" + ] + }, + { + "mode": "scatter", + "name": "Mulesoft", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "31", + "25", + "38", + "55", + "53", + "45", + "28", + "22", + "20", + "28", + "22", + "22" + ] + }, + { + "mode": "scatter", + "name": "Intel", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "3", + "3", + "16", + "2", + "5", + "0", + "1", + "1", + "0", + "4", + "11", + "22" ] }, { "mode": "scatter", - "name": "Adobe", + "name": "Uber", "x": [ "1", "2", @@ -13184,23 +11115,23 @@ "12" ], "y": [ - "83", - "56", - "23", - "62", + "13", "21", - "28", - "60", - "40", - "62", - "158", - "42", - "26" + "25", + "16", + "22", + "25", + "23", + "27", + "31", + "45", + "26", + "21" ] }, { "mode": "scatter", - "name": "Segment", + "name": "Blue Spire", "x": [ "1", "2", @@ -13216,23 +11147,23 @@ "12" ], "y": [ + "11", + "28", + "8", + "12", + "19", + "14", + "13", + "60", + "19", "20", - "21", - "21", - "21", - "26", - "36", - "36", - "17", - "43", - "21", - "10", - "23" + "24", + "19" ] }, { "mode": "scatter", - "name": "Mulesoft", + "name": "Samsung", "x": [ "1", "2", @@ -13248,18 +11179,18 @@ "12" ], "y": [ - "31", - "25", - "38", - "55", - "53", - "45", - "28", - "22", - "20", - "28", - "22", - "22" + "0", + "1", + "2", + "7", + "7", + "2", + "73", + "30", + "13", + "10", + "18", + "19" ] }, { @@ -13288,7 +11219,7 @@ "8", "15", "13", - "48", + "51", "21", "18", "18" @@ -13353,7 +11284,7 @@ "26", "21", "36", - "24", + "27", "17", "16" ] @@ -13376,12 +11307,12 @@ "12" ], "y": [ - "26", - "25", - "26", - "39", - "9", - "16", + "32", + "27", + "28", + "44", + "10", + "17", "37", "17", "29", @@ -13392,7 +11323,7 @@ }, { "mode": "scatter", - "name": "Fastly", + "name": "Acquia", "x": [ "1", "2", @@ -13408,21 +11339,23 @@ "12" ], "y": [ - "1", - "3", - "1", - "0", + "5", "2", "0", + "2", "3", + "1", "3", - "0", - "11" + "6", + "3", + "3", + "5", + "10" ] }, { "mode": "scatter", - "name": "Ant group", + "name": "WordPress", "x": [ "1", "2", @@ -13438,17 +11371,17 @@ "12" ], "y": [ - "0", - "0", - "0", - "0", - "0", + "22", + "3", + "13", + "8", + "6", "2", - "14", - "15", + "11", + "8", + "87", + "28", "6", - "4", - "4", "10" ] }, @@ -13486,7 +11419,7 @@ }, { "mode": "scatter", - "name": "Acquia", + "name": "Nicira", "x": [ "1", "2", @@ -13502,50 +11435,18 @@ "12" ], "y": [ - "5", - "2", - "0", - "2", - "3", - "1", - "3", - "6", - "3", - "3", - "5", - "10" - ] - }, - { - "mode": "scatter", - "name": "WordPress", - "x": [ "1", "2", "3", "4", - "5", - "6", "7", - "8", + "5", "9", - "10", - "11", - "12" - ], - "y": [ - "22", "3", - "13", - "8", "6", - "2", - "11", + "15", "8", - "87", - "28", - "6", - "10" + "9" ] }, { @@ -13582,7 +11483,7 @@ }, { "mode": "scatter", - "name": "Nicira", + "name": "RT-Thread", "x": [ "1", "2", @@ -13598,23 +11499,23 @@ "12" ], "y": [ + "7", "1", - "2", "3", + "0", "4", - "7", - "5", - "9", + "2", "3", - "6", - "15", - "8", - "9" + "3", + "2", + "2", + "2", + "8" ] }, { "mode": "scatter", - "name": "RT-Thread", + "name": "Treasure Data", "x": [ "1", "2", @@ -13630,18 +11531,18 @@ "12" ], "y": [ + "5", "7", - "1", - "3", - "0", - "4", "2", "3", - "3", - "2", - "2", - "2", - "8" + "11", + "9", + "4", + "6", + "4", + "5", + "5", + "7" ] }, { @@ -13678,7 +11579,7 @@ }, { "mode": "scatter", - "name": "Treasure Data", + "name": "Xiaomi", "x": [ "1", "2", @@ -13694,17 +11595,17 @@ "12" ], "y": [ - "5", - "7", + "0", "2", - "3", - "11", - "9", - "4", + "0", + "1", "6", - "4", - "5", - "5", + "0", + "9", + "12", + "13", + "22", + "8", "7" ] }, @@ -13734,41 +11635,9 @@ "9", "12", "1", - "6", - "1", - "4", - "6" - ] - }, - { - "mode": "scatter", - "name": "Magento", - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "41", - "9", - "7", - "12", - "5", + "6", + "1", "4", - "17", - "14", - "15", - "77", - "18", "6" ] }, @@ -13806,7 +11675,7 @@ }, { "mode": "scatter", - "name": "Douban", + "name": "NVIDIA", "x": [ "1", "2", @@ -13824,21 +11693,53 @@ "y": [ "0", "0", - "0", + "4", "3", "0", - "0", + "4", + "6", + "7", + "4", + "6", + "9", + "5" + ] + }, + { + "mode": "scatter", + "name": "Redis Labs", + "x": [ "1", - "0", "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "24", + "8", + "1", + "5", + "3", + "4", "1", + "5", + "2", "0", + "10", "4" ] }, { "mode": "scatter", - "name": "360", + "name": "Douban", "x": [ "1", "2", @@ -13854,23 +11755,23 @@ "12" ], "y": [ - "2", "0", - "1", - "1", - "1", + "0", + "0", + "4", "0", "0", "1", - "8", - "2", + "0", "2", + "1", + "0", "4" ] }, { "mode": "scatter", - "name": "Redis Labs", + "name": "360", "x": [ "1", "2", @@ -13886,17 +11787,17 @@ "12" ], "y": [ - "10", - "7", + "2", + "0", + "1", "1", - "5", - "3", - "4", "1", - "5", - "2", "0", - "10", + "0", + "1", + "8", + "2", + "2", "4" ] }, @@ -13987,7 +11888,7 @@ "0", "0", "1", - "3", + "4", "2", "1", "1", @@ -14030,7 +11931,7 @@ }, { "mode": "scatter", - "name": "Xiaomi", + "name": "Deepin", "x": [ "1", "2", @@ -14046,20 +11947,55 @@ "12" ], "y": [ + "1", + "0", + "0", + "0", + "0", + "0", + "0", "0", "2", + "1", "0", + "2" + ] + }, + { + "mode": "scatter", + "name": "Postman", + "x": [ "1", "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ "0", "0", - "6", - "3" + "0", + "0", + "0", + "0", + "5", + "1", + "2", + "7", + "1", + "2" ] }, { "mode": "scatter", - "name": "Deepin", + "name": "Salesforce", "x": [ "1", "2", @@ -14075,23 +12011,87 @@ "12" ], "y": [ - "1", "0", + "4", + "5", + "2", + "1", + "1", + "1", + "4", "0", + "9", + "3", + "2" + ] + }, + { + "mode": "scatter", + "name": "Anaconda", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ "0", "0", "0", "0", "0", "2", + "4", "1", "0", + "12", + "9", "2" ] }, { "mode": "scatter", - "name": "Meituan", + "name": "Juejin", + "x": [ + "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "1" + ] + }, + { + "mode": "scatter", + "name": "JFrog", "x": [ "1", "2", @@ -14107,21 +12107,87 @@ "12" ], "y": [ + "0", + "0", + "1", + "0", + "0", + "0", + "0", + "1", + "0", + "2", + "4", + "1" + ] + }, + { + "mode": "scatter", + "name": "Netease", + "x": [ "1", "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "8", + "7", + "3", + "5", "2", "4", + "0", + "3", + "0", + "2", "2", + "1" + ] + }, + { + "mode": "scatter", + "name": "Artelnics", + "x": [ "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ "0", "0", "0", - "2" + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "1" ] }, { "mode": "scatter", - "name": "Salesforce", + "name": "H2O AI", "x": [ "1", "2", @@ -14138,22 +12204,22 @@ ], "y": [ "0", - "4", - "5", + "0", "2", "1", + "0", "1", - "1", - "4", + "2", "0", - "9", - "3", - "2" + "2", + "1", + "1", + "1" ] }, { "mode": "scatter", - "name": "Postman", + "name": "Netlify", "x": [ "1", "2", @@ -14173,19 +12239,19 @@ "0", "0", "0", + "1", "0", - "0", - "5", "1", - "2", - "7", + "0", + "0", + "0", "1", - "2" + "1" ] }, { "mode": "scatter", - "name": "SequoiaDB", + "name": "DCloud", "x": [ "1", "2", @@ -14203,20 +12269,21 @@ "y": [ "0", "0", - "2", "0", "0", "1", - "0", + "1", "1", "0", "0", + "0", + "6", "1" ] }, { "mode": "scatter", - "name": "JFrog", + "name": "Huawei", "x": [ "1", "2", @@ -14234,21 +12301,21 @@ "y": [ "0", "0", - "1", + "0", "0", "0", "0", "0", "1", "0", - "2", - "4", + "0", + "0", "1" ] }, { "mode": "scatter", - "name": "DCloud", + "name": "Meituan", "x": [ "1", "2", @@ -14264,23 +12331,23 @@ "12" ], "y": [ - "0", - "0", - "0", - "0", - "1", "1", + "2", + "2", + "4", + "2", "1", "0", "0", "0", - "6", - "1" + "2", + "0", + "0" ] }, { "mode": "scatter", - "name": "Netease", + "name": "Deepmind", "x": [ "1", "2", @@ -14296,23 +12363,23 @@ "12" ], "y": [ - "8", - "7", - "3", - "5", "2", - "4", "0", - "3", "0", "2", + "0", + "1", + "0", + "0", + "0", "2", - "1" + "1", + "0" ] }, { "mode": "scatter", - "name": "Tencent", + "name": "Youzan", "x": [ "1", "2", @@ -14328,14 +12395,23 @@ "12" ], "y": [ - "1", "0", - "1" + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "0", + "1", + "0" ] }, { "mode": "scatter", - "name": "EnterpriseDB", + "name": "Tencent", "x": [ "1", "2", @@ -14351,7 +12427,7 @@ "12" ], "y": [ - "0", + "1", "0", "1", "0", @@ -14361,12 +12437,13 @@ "0", "0", "0", - "1" + "0", + "0" ] }, { "mode": "scatter", - "name": "Juejin", + "name": "EnterpriseDB", "x": [ "1", "2", @@ -14384,6 +12461,7 @@ "y": [ "0", "0", + "1", "0", "0", "0", @@ -14391,14 +12469,13 @@ "0", "0", "0", - "0", - "0", - "1" + "1", + "0" ] }, { "mode": "scatter", - "name": "Huawei", + "name": "SequoiaDB", "x": [ "1", "2", @@ -14416,21 +12493,21 @@ "y": [ "0", "0", - "0", - "0", - "0", + "2", "0", "0", "1", "0", + "1", "0", "0", - "1" + "1", + "0" ] }, { "mode": "scatter", - "name": "Youzan", + "name": "Fastly", "x": [ "1", "2", @@ -14446,17 +12523,18 @@ "12" ], "y": [ + "1", + "3", + "1", "0", + "2", "0", + "3", + "3", "0", + "11", "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" + "0" ] } ], @@ -14468,24 +12546,24 @@ "xaxis": { "autorange": true, "range": [ - -0.6743993371996686, - 11.674399337199668 + -0.657337367624811, + 11.65733736762481 ], "type": "category" }, "yaxis": { "autorange": true, "range": [ - -122.5485436893204, - 1607.5485436893205 + -124.94174757281554, + 1638.9417475728155 ], "type": "linear" } } }, - "image/png": 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" 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3vg/NUc1BCSadu+4V/Vs/VxEbsZdY8iXZa4S/FgkryVEVjfvJJ5/srl2vO+pHUlXnFH8v+IhEf3zV04c3/pgSjeKskmyuRL3n/vCHP9iHH37ozkcfKuj4+pAiSkR6FL7irXyjYiaW5eXl7pwlmlN9eJE45j6PcPzY+ftGr0fxGzhJHkvI//KXv3RSMLFo+b5SW6QSpTpPpXsRDz9fk71+JP4s2fhpzvh7xV+Dj7aVjE+MyPbXK9Ff16ZHia8Lug8lyf3fEv/3Tz/X/a65JvkqyexLuveqb5fs76uuXR8s+bQl/nVB95Fkd+L9Jq4aO712p3rNicKeOhCAAAQgAIFcE0CU5poox4MABCAAgYwJ6A2dhJskQdTNmbywUISWJInehOmNon6u4yl6xeeZVJSZhJyXS5KMipBTFJQizBRRphL1mP5Nr0SQ2vvNbCQU9MYxXpRKeOkNriLO9GZcEkHnp2XekpX6WV27JScTpTp/vfmXhFKEpQSoioSW5JHeiGpTFQlcFQlcMfLSR/UU7SQpJLEjwePbKwJKUbuZiFLJab05lhxQpKEEsKKOJOjUlyLa9GZa/1fkmfID+igkScD/9//+n2un86xt6b1POaAco3rT74uiBSXAfYRjbZMxlSj9/vvv3flrTmhsozIVM0lDXWd8NKquXyJQUbUSx+mIUkWESXIoOk/nITEtAaclyBLuUc9NLHRO//znP11Eo+a+l/OSW5qHUTZzUh5ViWnJbF+8MNe4ajx99K8iynQvx0f6+ftLwlMSerPNNnMRrZKfui+SFS/4NC+1rFtF819CW68XkoheNMUv1ZYE9hGGEsuKbPXiRv1LTqt/lYsuushF4WneqT/JKvWhuSIB6Odt/GuE7jPNY0WQSjqqL81hCSJ98KB/6xz8a4vaSmopvYjuf/8650WbrkXRe4oi1dj4DzJ0D+teVkkmSqPccxK/ui/0GikWnrV2jteHFhK6dZWofMVKEYYS07qHMimSbp5R/IdmOqYkrN8EzR9bUl6yXIJer7OJJaoojW+n13WNr48Gres6/PiJqa7dv5brAyJxE3tFmWpMxVn3r17b9Fqg8vPPP8cio3WudRUvSjU/JX51z+n1RbzERkJaaWv0QaPOSz/X/FTUrUom92qqv69Rlt7rftP5+s25FEGv1Rjxrw2ZzBXaQAACEIAABHJNAFGaa6IcDwIQgAAEMiagN+yKptMbP0mJKKW2zZz0ZjVRbuh4Eh8SaX7jHkkjRSPFR1lGPaaiUCUp48VM/JveeFEq+SHZKYGiaCJfJD20KU4qqeBFqSSH3ghLwEjISobqeBKdfvmxFxVKKyDhE18kExRBJgEq0atItWS8FUmp5cDpilLx3WuvvZwYkIyJ3wxJ0aOKBPMCUVGnGod49oljXpso9QJJkYMSpT5yLcqcUZ1UolTRWYqc9VG1UZlqLkm4abm+rrO2ko4ojRcqOp7uDUlKXYM+WIh6broW1Zegk4yOTzeRTo7SZKJUm+go+lfXrvH3xQuk+DnmRanmVm1iNJ6b/wBFc0qyRzIxsfg6kjGJu5d7IeOjCWvbXMZHOEvExssxCS7Jcs9bfdf2GuGXiye+Juhe0j2sDwYkAXVv6N7Vd83d2nJc+ohxf+3qO1GURr3nJBElSsVc0rW2FAvJ5mw6fLMVpRL/Z511lnud1hJ0fTDgi+avSuIHaZLUGpPEDZ18u1SiVOPw73//233YpdcsRaf7CHyJRr1W1VXqylGq89exdA56jdaHd4osj8+BXNu8SdanF6WJrwv+w47EyGzNe0Wce9Gf7r2abLPExL+vUURp4q73fhOv2qKAo76WUw8CEIAABCCQawKI0lwT5XgQgAAEIJAxAf9mK37Jd6qD1SYsFKmpqEPJTJ8nTxuBaPm4JFhiiY/ojHpM30d81KaO66OD4kWpj4Sq7XqU1/T//u//ar1cL0oTK4iV3uTHLxP1y+TrYicu2ilaEX+KFpLYiS+ZilLlMNTy8bqKX0as81b0oYqitxQ5qSX1ytHpIx1rE6WSKZI+fiwVcScRJMGVbNfqxPNJJUolShQdqHygEg9RmSrfpoSw2ipSqraSjSj15+I5Rj03zRVFyCUT49mK0tokja5fc0kRtj4KsLb7qzZWkukSVVoSrbymyYqvE7/s3dfzGwD5tAa1iVKletAHDolj59sr+tXn4a3tGt59912X19dHySkno14fFPmarEguazf4ukSbXjt0HJ9aI1GUpnPP+RyfOhdJO0XT6v6va6m36qbDNxtRquvUa7EiMXVOen2KF+M+H3NtEaV6DdFrfGJJJUqTjY2iiyX+1b9WBNSVGqWu8VPkt+aQT7uhv3N+kylJeC1RV75cyXRFWManFEh2XrWJUr+cXrla9QGSL/7eliCVSM7FvZr49zUTUernbaq/fameAfg9BCAAAQhAINcEEKW5JsrxIAABCEAgKwJeqvhIq1QHq01Y+KWoXpT6pdp606ul0doIRAJVckTReVFEaeIxFQmpjTT0xlWSzpdkotRH8vlNSRKva4MNNqi2SVLi7xOX3scvwdZy/vjIUeVS1AYzkkZ+OX3i8RQt+eqrrzpRqSjeRLlZmyhNjJRLzFGqKDAJJclKnxMysW9twKM37CoaF+Xq01JUX+Jzxta1673km85fkWCKsPVFOVCV/7GukkqUSsRIyklgKBo4KlNt1CL2ioira/l/NqLUp3HwojTquSmaUdGS8QI/UaZkuvTeL8vWvaRl+fFF0lBRlJJFkk3pilI/x+rKPevnXbI6I0aMsOuuuy6Wy7Q2UeolZ6Io9QI1iij1dXWNGmOfw1iRrlqiryX4EtWaW5KBuRCl6dxzigxVn5qnPn+mxkpRwJKCtZV0+GYqSvWapvyi2pxNKVIkSROloU/XEZ9SRefsU2Ukvhb668lElKqtj3qP/8AtGaMoolTX4/O0+nmh1wnNB6WASPaBVbK+ahOlXsgmilLJf81LL0pzca8m/i3MRJT6FSSI0lRPOfweAhCAAARCE0CUhiZOfxCAAAQgUCcBH/HkBVWyylpqqsgjSc+ootS/WVQ0jXZV90U7CCviKxNR6pf0xm/Ao+MmE6VejCliyG9KlM5USJajdO7cuU5wShJqkx1JBBW/LF2iTm/Eayva1VvL/pNF6iWKUknV2267zYm2+GXJiaJUUVGKlkq2WUld1ytJInEkMarUABIH2qnci1Kfj7O2Y0j6KLJSy0sVKZcqz19dolS7k2uZqJZGSwhIvkVl6qP9FPkmkVlbyaUojXpuXuYkW56cbUSpovjEXzueS8T6ovtUeVnjl46nK0o1v8Wzrjnl6ygvqJYxxxefqkDLhbXxWT5FqaS/dqz3ryd+c7rED378hyy5EKWZ3nPKa6nUI3odU2R2XR9OpcM3E1Gq40vgaTm2ZKJer5VXM7H4+1aiUZtR+eLTJsRvvhbfNlNR6u/T+Py0ye7pukSpX6auDzT8zvM+p6peqyRKxSyVjPX9ZitKc3Gv1iZK43Pp+vOt7X5DlKbzBEBdCEAAAhAISQBRGpI2fUEAAhCAQEoCfsMhVfSyLL6RlutpibqiICXSoopSv1GLF186pqKr9Ib8vffey0iUeimmN7uSrdooRpJN/1ZEYnzknn9zGr87vL8uXZOkZ13LX2vb9d5HUulYXgIrek9RfBLJevPtN5lSHUlmRdgpP54iDCVXtSRbb+J1/iqSFdrdXu19jlK/q3p8xJaOJYEgORR/XT7qS9Fhyj8XXyRDlRtR+TEl1tTOb66lesr5qnP24tf/30sufyxt2qQlq36jKv1cslVRWRrXxKW5iROvNlGqvK2KPlSEa3zuvKhMvSQXOzGNz52qzcS0wYrGI5eiNOq5iYFfuhwf+SlhpkhhXXOmEaU+GjNxcy2fjzE+0jNdUarz9lGpWl6sPnxR/kQtC1eEuHJJSpjHR9RpTqg/MfIbLOVLlPqNcyT9vFjzkeT6QMZvcKVIaG1ypPsvF6JULKLcc4rm1X0T/0GR2mrslVs31W7rUfmmK0o1Nrq/9QGJ7jltRJQsD63OVa9HOk8Jb7Xxr2mK+taHNol5O/08qUuU6vVCke16bYtfXq/7Va+DUVLB1CZKvRBVahG/mZI/J5+3Wv+vLWVAsj+Y2YrSXNyriaJU56ncxcmuE1Ga8rGHChCAAAQgUGAEEKUFNiCcDgQgAAEImFu6LMnk30BKgijiSQJPb15VvESNKkq1c7JEiSLbJAn1hlhLtvUmXSWTiFK101J6yV0VvUmUBPElXpTqjbRkj65Dy28lBLRcUeJCS00To1IT50FtolT1/NJi/Vubzuj4XgxIOPgIT52nog91zV4k+o0+dO6SWcrN+d1337nu4wWBdurW+UsqKIeoBOCHH37oZI9KvCjVNZ133nnu55IyEsASWJKkWsIraSwxoDaSnVr2q1ygEiXK2ac+JEglFcVGY6McrIoWEz+1lRzz6QUUEavjKEJWeQVTRdLqvLwoVVsJYkWPKsJJm8KoJMuPGJWpxkDXobmm9ANiK9Gsa/F5CnMpSnW+Uc/NR1eKp9ITaF5KZPhcr5mKUklzyW3NB6V70LhrjPzGSvFiNhNR6kW9rlXjq8hRfUigJcWHH364iwD2EdKat/ogRfy1xFwCWOejDxJUciVKNVe0RFzidtmyZW6THu06Hh8N7+eZomH1wY5Eul53PO9cidIo95y4aGMhRRRrozcJe72mKlpc6RL0+lhXHs6ofNMVpUqfoWhWlURZ6V8H9RqgCFNJaEW0i98ee+zhXuv0mqbXlsSIY72O6HVf5eOPP3bXqmXe2mleqRD0oYqKj5bVz7QJm+aWXouU4kJFslSpSuoqXpTq9dafl17z9Dqgc022YZ0XljquIvt/8Ytf1NmH/2W2ojQX92oyUer/FurvyIABA0wfACoNCqI00rBSCQIQgAAECogAorSABoNTgQAEIACBdQS++OILt9Tbizj/Gy1dlPjTbshawl6bdNGO41pW6pcz6k2z8nhKuPiiSFBteqFoIkUxSQCqRD2m6upNsISdNvHRMmO9cZf40xvjxLx/EivKU6driy8SF1oiLyFcW0mVp1EbDklKSYBp6a/kn97oK7ouPn+n3shLFPt8hIom1MYcEg0q+r1EhKI9JXJ9RKl+5ze18ecoESUpJKkZH+Gl30uW6FolHOKLxKTSKyiiVNLw7bffdmLUF0lFyaV4aSCBo6W1klAqyiEpWZrs+BJAGstUG6L4CGPfr65bEX+KdlXUpaRWYlSbBEMUpl7QiEv8temcFWWrpba1iVL9XPNPRZFz4u/ltz9Xn6M0Pl9sOucmbvERt5J9KhLkPuqyrtciRY4lW+Iu2axob419/ByRVInP4ZuJKNXxJOr0mhD/YYTy2UrGaF75OSqRFM9d96FYSRT640hMnXTSSS5fsS+KLFfqgMT0Ej7vqCIANd9VdA26nyXXdN3+3pG0VV5LLxxVRx8aeAGvejpXRZBL4Oqe1THqWrqtDwh0PX5DKB/JHj9Xotxz2s1dYxE/PmqnDykkkTWmqYpeA1Lx9dI2ccf62o7tX7vq6lv3v9+wTlGaGnP/IZfa6XVXqwP0+uGL5LWXoYnHFnMv8RV1rNccRdXGFy+WaztGfF0/fmqjsYqffz6XcOI56LVX0l+voxKqdUnq+La1vS7ovn799ddd3uaNNtoo1sRv8qS/U8qFrZLtvZr491XH1N8ovVb5+aXXT52PF+yJ95vuCd1Hes3W3yAKBCAAAQhAoFAIIEoLZSQ4DwhAAAIQSEpAb2IVmSZpJykSv5Q5E2SKGlSkj6IVJUrzUXwEjYSJlqsmFr2JVrSNvuscFA2Zz6JoUF23JLMEZbI35JKpkjfdunVzv0/MUerPT2/uJ02a5ISENsNKVZQ/Udeqa1QEWzL5qCg7LaHWuWlckp2fRKDmgaSCz/OnvnXe06ZNc6ehc/cyJdV5Zfv7KEx1zpprYhZinP01RTk3pYiQcFIUXrb3VCJLSSPNEY1nfNqHbJnHX5+OAnSDAAAgAElEQVTmi+ZKvBjzvxd3XZvmnsRQKmmeyXnFy14JO0l8RWXWNncVqa15oHtGki6fJdU9p9dUfQCl89H4pDv+IfhG4SPuug59uOHThkRpV1sdiVXJO0lEfZghNlHlZfwxdRyNt8S0PgSLTy0SX09yVGIx1WqCbK4pVdt83Kv6IEOvQXrNS5ZnNtU58XsIQAACEIDA+iaAKF3fI0D/EIAABCBQrwkoalCyRrkyFZGoqBotLZc40XLofMnYfEOrTZTmu1+OD4H6QCDTqNj6cG2cY/4JSDYr+lhStq5NtPJ/JvQAAQhAAAIQgEAiAUQpcwICEIAABCCQBYH4DTniD1PbcsssugraFFEaFDed1TMCiNJ6NmAFdrp+OTrLzgtsYDgdCEAAAhCAgJkhSpkGEIAABCAAgSwIaFn5yJEj3SYtylGq5bfKNaplwfW5KBehlujut99+9fkyOHcI5IWA8pYqalz5bCkQSJeA/mZogz7lYo6SwiTd41MfAhCAAAQgAIHMCSBKM2dHSwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBICCBKi2QguQwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgcwKI0szZ0RICEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEgKI0iIZSC4DAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyJwAojRzdrSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEioQAorRIBpLLgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABDIngCjNnB0tIQABCEAAAhCAAAQgAAEIQAACEIAABCAAgSIhgCgtkoHkMiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHMCSBKM2dHSwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBICCBKi2QguQwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgcwKI0szZ0RICEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEgKI0iIZSC4DAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyJwAojRzdrSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEioQAorRIBpLLgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABDIngCjNnB0tIQABCEAAAhCAAAQgAAEIQAACEIAABCAAgSIhgCgtkoHkMiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHMCSBKM2dHSwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBICCBKi2QguQwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgcwKI0szZ0RICEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEgKI0iIZSC4DAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyJwAojRzdrSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEioQAorRIBpLLgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABDIngCjNnB0tIQABCEAAAhCAAAQgAAEIQAACEIAABCAAgSIhgCgtkoHkMiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHMCSBKM2dHSwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBICCBKi2QguQwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgcwKI0szZ0RICEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEgKI0iIZSC4DAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyJwAojRzdrSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEioQAorRIBpLLgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABDIngCjNnB0tIQABCEAAAhCAAAQgAAEIQAACEIAABCAAgSIhgCgtkoHkMiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHMCSBKM2dHSwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBICCBKi2QguQwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgcwKI0szZ0RICEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEgKI0iIZSC4DAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyJwAojRzdrSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEioQAorRIBpLLgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABDIngCjNnB0tIQABCEAAAhCAAAQgAAEIQAACEIAABCAAgSIhgCgtkoHkMiAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAIHMCSBKM2dHSwhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKBICCBKi2QguQwIQAACEIAABCAAAQhAAAIQgAAEIAABCEAgcwKI0szZ0RICEIAABCAAAQhAAAIQgAAEIAABCEAAAhAoEgKI0iIZSC4DAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQyJwAojRzdrSEAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEioQAorRIBpLLgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABDIngCjNnF1JtVy5cqUtXbrUWrduXVLXHfpiV69ebQsXLrTy8vLQXZdcf3PnzrV27dqV3HWHvuAFCxZYy5YtraysLHTXJdXfokWLrGnTpta4ceOSuu7QF7tkyRI3l8Wakj8Cy5Yts1WrVlmLFi3y1wlHthUrVphYt2rVChp5JKC5vHjxYmvTpk0ee+HQIsCzXZh5MH/+fPeesGHDhmE6LNFe9J6wefPm1qhRoxIlwGVDYP0RQJSuP/b1qmdEaZjhQpSG4czDdDjOiNIwrBGlYTgjSsNwRpSG4YwoDcMZURqGM8924TgjSsOwRpSG4UwvEEhGAFHKvIhEAFEaCVPWlRClWSOMfACiDiKjyqoiojQrfJEbI0ojo8qqIqI0K3yRGyNKI6PKqiKiNCt8kRsjSiOjyroiz3ZZI4x0AERpJExZV0KUZo2QA0AgYwKI0ozRlVZDRGmY8UaUhuGsXniYDsMaURqGM6I0DGdEaRjOiNIwnBGlYTgjSsNw5tkuHGdEaRjWiNIwnOkFAskIIEqZF5EIIEojYcq6EqI0a4SRD4AojYwqq4qI0qzwRW6MKI2MKquKiNKs8EVujCiNjCqriojSrPBFbowojYwq64o822WNMNIBEKWRMGVdCVGaNUIOAIGMCSBKM0ZXWg0RpWHGG1EahrN64WE6DGtEaRjOiNIwnBGlYTgjSsNwRpSG4YwoDcOZZ7twnBGlYVgjSsNwphcIJCOAKGVeRCKAKI2EKetKiNKsEUY+AKI0MqqsKiJKs8IXuTGiNDKqrCoiSrPCF7kxojQyqqwqIkqzwhe5MaI0MqqsK/JslzXCSAdAlEbClHUlRGnWCDkABDImgCjNGF1pNUSUhhlvRGkYzuqFh+kwrBGlYTgjSsNwRpSG4YwoDcMZURqGM6I0DGee7cJxRpSGYY0oDcOZXiCQjEDRiVIJvUaNGqU92mvWrLEZM2ZYx44dk7bXC5UeKNu3b5/2sYuhAaI0zCgiSsNw5mE6HGdEaRjWiNIwnBGlYTgjSsNwRpSG4YwoDcOZZ7twnBGlYVgjSsNwphcIFL0onTRpkp100kn2yCOPWEVFRex6r7/+envnnXeqXX/37t3t4Ycfdj977733THX0IKMybNgwO+KII9y/9abokksusTFjxrj/d+3a1W699Vbr1KlTSc0oRGmY4UaUhuHMw3Q4zojSMKwRpWE4I0rDcEaUhuGMKA3DGVEahvP3MxbaxOmzbaNuHa1v51ZhOi3RXhClYQYeURqGc6H1Iu8ye/Zsa9OmjTVv3jzvpzd+/HibOXOm7bjjjnnvqz51UDQRpccee6xNnz7dsU8Updddd5399NNPduGFF8bGplmzZk56Ll261A455BD7zW9+Y8ccc4yNGDHCbrrpJnvwwQetZ8+edv/999srr7xi9913n7Vo0cLOPvts9/NrrrmmPo1z1ueKKM0aYaQDIEojYcpJJZbe5wRjyoMgSlMiykkFRGlOMKY8CKI0JaKcVECU5gRjyoMgSlMiykkFRGlOMNZ5kFMf/dzeGFX1PlDlwC0r7M9Hbp3/jku0B0Rp/gf+6c8m25if5lqbFk1ttwFdbYse5fnvlB7WK4FRo0bZzTffbFOmTImdh1YzH3300XbggQfm7dzkzt5//33nvSjrCBSNKNWyeYlSydBkolQv6IoaTSzvvvuu/elPf3IytEmTJu7Xhx56qB188MEm+XrUUUfZ4MGD7ZRTTnG/e+2111xE6ZtvvmkNGjQombmEKA0z1IjSMJzVC6I0DGtEaRjOiNIwnBGlYTgjSsNwRpSG4YwozS/nF778yc576qsandx37Da296Zd89t5iR4dUZrfgR/2yGf29ugZ1Tp5+ITtbXC/0lrRml/K6R/926kL7P1xP1vlilW2cZfWtu9muXt9kST93e9+Z7vttpudcMIJbvXytGnTnKP65ptv7K677kr/hCO2QJQmB1U0olSXJ1mqqNBkovTDDz+0zTbbzNq2bWtDhgyx7bbbzhF56qmn7Omnn7bnnnsuRkhRoxtssIGTrvvss4+btPqu4ifxs88+a+XlpfPJDqI04itNltUQpVkCTKM5ojQNWFlURZRmAS+NpojSNGBlURVRmgW8NJoiStOAlUVVRGkW8NJoiihNA1bEqgsqV9h/f1pg//1pvj3z+RQbO2NhjZYHb93dbhq6hTUuaxjxqFSLSgBRGpVU+vW+m77Q9r79XzUaEiWdPstctnjr2xl28t8/q3bIQwf1sFsO3zIn3UiOtmrVyu68884ax9MKaC3Blyfwq52XL19uW221lf3+9793fktFK6P/8pe/2Lx586xHjx526aWX2iabbOJ+N2HCBNMqa33Xkn55rKFDh9p+++3n3Fl8ROknn3xid9xxh1v+P2jQIDvyyCNt8803z8l11qeDlIQoHT58uJsUWm7/7bffuq/zzz/f9t13XzfZFFX6xBNPxMbtoosuspYtW9qVV15pe+21l1122WVOrqqMGzfOTj/99JiM1UNmKRQ95OmGDJEnoxR41naNegHUi6HmHyW/BCSW9AeJkl8CEktNmza1srKy/HZU4kfX60bjxo0z2sywxNGldfkSeA0bNnSsKfkjoGcr/T3UawclfwT0IbhY82yXP8Y6sp6h9dqhFF6U9AnMX7rCRk1dYP+dusBGTV3ovk+asyTygX65SUfbo39n271/J+vUmteUyODqqLh48WL3uqG/h5TcEJgyd6l9OXmevfbfGfbW6Jk1Drpj7/b26Inb5qazAj1KyGer29/+Pi0Kw0dOtfGzFtdoc9Iuva11s+gbie8+oItt3r16sJ3+FstLyUHJPdVWFOD30EMPuYhTpZBUakhFnkpqjh071s444wwnPnfddVd7/PHH7bvvvrNnnnnGvQfT/juqe/zxx7tV0Vppffjhh8eCDL0o9Xv+qL6O88Ybb9hbb71lL730UkmtptYYlIQoTZxsMu/6JEzGPUpE6XnnnWd77723O0xiRKn+UJRC0RsWPeiFfAErBa6J17hmzRrTiyWc8z/6Ev8+3Ub+eyvdHvQmvFGjRiX3xzX0iOt1Q29YeNOSX/LirAdMxH9+Oet5Q38P9dpByR8BPdvpC875Y6wj82wXne+8JSts1PSF9u20RfbtNH1faFPmVdY4QIsmZbZpt9buq22Lxnb7iPE16uzcp719NGGurVq9Jva7zSva2JB+HWy3TTraxp0JSog+MtVr8myXKbnq7UZNW2hfTVlgI6cssK+mzLefksx13+LALbradQf1z03HBXqUkIFCv7rzffvmp/nBSfzj7F1qiFK/Klr75ChKVOXee+91EZ0qvXr1cikh9dWnTx+76qqr3M+VClJtJEMVFargvxdffNH9Tm21B4+iSvUh3RVXXGF/+9vf3LFUJFt33333GqJUS/x1HL8fj557L7jgAvvzn/9sAwYMCM5rfXZYkqL0tttus6+//toZeZ+j9NVXX43JKeUnVZ5Sn6NU0aQnn3yyGydylLZen/O16Ptm6X24IWbpfRjWLL0Pw5ml92E4s/Q+DGeW3ofhzNL7MJxZep+c8+xFy52o0PJ5fSlqdPLcmpGiLZs2ss0q2tjmPcpt8+5tnWTYqFN1yfmv72fZs59PsalzF1nPDq3tiO162o4bdXAdjxgz07RsVl8/L1oWO5le7VvYngO7uC9fN8yMqP+9sPQ+szFcVLnSvpg0d+3XPPvix7m2aNnK2MHKmze2odv0sPE/L7Z3x6yLKi1r2MCePHlH2753+8w6plUNAre/PVYfY0Umk8+IUv2NUJpHv+JZJ6WNxefMmWMjR450q6K1Cnr//fe3E0880XkqlalTp9pxxx3nlus//PDD7mfxe/JoAyjJUolSidfXX389dr21iVIFFH711VcuYjW+DBs2zHbZZZfIvIqhYtGIUtluJbzV5NFEUl4G/wm5Nl/SRNlwww1t9OjRLqxZMvS0004zvek56KCDnE3XjmKJu97/9a9/NUlUfdckO+uss9j1vhhmfoFeA6I03MAgSsOwRpSG4YwoDcMZURqGM6I0DGdEaRjOiFKzWQuXORnqxei30xaYlhonFknRTSVFu5evFaPl1qdT9DRJqZ7tvpw0r0qajp5uY2csinWvpbN7DKiSprtu0slaNSWava67A1Ea/bVj8pwl9sWkeTFB+s2U6lGMm1WU26Hb9HCCNH4J9zujZ9joKXOsvFUzG9y/i/VsR+qO6NRzXzPfOUq1JF4rHeWc4osE5+eff+78lpbDb7vtts5lqXzwwQcuVaSW2UuUqp5WS6vofcEhhxzi5OvGG2/sUkfG77FTmyi9+eab7ccff0yaKzX3VAv7iEUjSmXh9SDiiyaadglTkQCdOXPdpzLbb7+9Cz+WnVd55513qtl3TRztdu8n2cUXX+zyPqh07tzZFJGq76VU2MwpzGgjSsNwVi+pHqbDnUlx94QoDTO+iNIwnBGlYTgjSsNwRpSG4VxqonTGgsq1UrRqs6XR0xfYT6mkaPdy26x7ufXtHF2KJhu9dJ7tJs5eHIs0/WTCnGqH0+7ikqa/3KSz9WjXPMxEqUe9IErrHqyvp8y3L9dGjn7+49waHwrss1lXJ0Yl5+sqCxcudLlgSY9SGDdHPne9V+SoNhKXpzr11FOte/fuLqL0lltuccvoJUoVOap8oVoWr4jPP/7xj+53EqXauFzSVGJUkZ9aiq+8otqHp2PHjnbAAQe4ZfcKEFQqSUWXKhrVb4Tuc5RKtiqqVJubK9+p7nUt8ZeglXAtpVI0ojTVoOmFRpNNgjNZ0noJKoUvd+nSJWl+SE0S5TRUEtxSLIjSMKOOKA3DGVEajjOiNAxrRGkYzojSMJwRpWE4I0rDcC5mUTptvpeiVUvnx0xbYD/Nqz1SVNFzVUvos5ei2YrS+PbaMMovz9f31WvWLcndskdbJ02H9O/sol0p5uRJ69atyYu+djIsrFwZE6OKHv1s4hxbsnxdAFfHVk3t4K27Oznav2v0NHaI0tK62z799FO7/fbbqwX4yV1p13mJTj2DapNxiU4V7V5/ww03WN++fd3/77nnHnvhhRfcv5VLX7lF99xzT/d/CdC7777b3bvayf6LL75wy/IPO+ywGrveK/L0gQceiAUhqh8JW63OLqVSMqK0lAY1H9eKKM0H1ZrHRJSG4YwoDccZURqGNaI0DGdEaRjOiNIwnBGlYTgXiyiVAPX5RLV0fvS0hTa1Dim6qaTo2iX0G2cZKRp1pNKJKK3rmFr2LGH65rczbM7i5bGqPdfmNd1jQGfbvncHa9SwQdRTK6p6iFKzakvqf5xbY2MgzX2JUX0ppUQmBVGaCbX630bPQLNmzXIBek2bNq1xQbr/KisrXYBfYtHP1baioqLaxqP6O+Q3ItW8kiC9+uqrbYcddkgKTJsQ/vzzzy4dQHl5ef2HmsEVIEozgFaKTRClYUYdURqGM6I0HGdEaRjWiNIwnBGlYTgjSsNwRpSG4VwfRanyh/p8oqOnLbAx01NJ0bV5RbuX28ZdokfM5XoEciVK489LS6d9tOkPs9blNVUeU78Z1A69O1iHVk1yfTkFe7xSFaVaUq/NmLSs/tOJc6t9UNCwQQPbe+2S+t375yZFH6K0YG+BendiZ5xxhotIbd++vX333Xduaf99991nDRqU5oc9UQYQURqFEnUMURpmEiBKw3BGlIbjjCgNwxpRGoYzojQMZ0RpGM6I0jCcC12UTpqzxElRv3ReYlRL6hOL32hpYDe/A325bbIepWiy0cuHKI3vZ/ystXlNR0+3zybOrXYKv1Re0wFdbKc+HdLagCrMLMxtL6UiSuOX1EuYS45Wrli3pL6ibXM7YItuLmo0H/cCojS387aUj6YNzbVkX3/3e/bsab/4xS9InZFiQiBKS/mOSePaEaVpwMqiKqI0C3hpNs33w3Sap1O01RGlYYYWURqGM6I0DGdEaRjOiNIwnAtJlE78ebF9M3W+jZ66wEZPX+hyiqaSotpkSXlF+xWYFF0fojS+z7lLllfLaxr/uy16lNueA7vazn072KBe7cJMtIC9FLMojV9Sr1yj+gAhvmyzQTs7aKuqfKMtmpTllTqiNK94OTgE6iSAKGWCRCKAKI2EKetKiNKsEUY+AKI0MqqsKiJKs8IXuTGiNDKqrCoiSrPCF7kxojQyqqwqIkqzwhe58foSpYp+/K+kqJbOT1vodp+fniJS1EnR7uXWL40NZyKDCFBxfT7bxW8GJYnqS892LdwS/f/ZuKNt37t9xvkqA+CL3EWxiVK/pP6LH+faJxPnVLtPmjUus90HdLahg3q4Db1CFkRpSNr0BYHqBBClzIhIBBClkTBlXQlRmjXCyAdYnw/TkU+yCCoiSsMMIqI0DGdEaRjOiNIwnBGlYTiHEKXjZi6qWjo/XZssVYnR6QvqXj7vNlvqUZ7WLtxhiGXeS6E82306cU4s2nTCz4tjF6T0BZKmv9ykk+3Qu71p6XZ9LPVdlK5bUj/PNFafTphjy1etjg1F744tbe9Nu9qh2/SwUBuRJZsHiNL6eHdwzsVCAFFaLCOZ5+tAlOYZ8NrDI0rDcFYvhfIwHe6K109PiNIw3BGlYTgjSsNwRpSG4YwoDcM516L0+xkLnQzVrvNVYnShzUgpRduYokUHdGsT5qLXUy+F+Gwnie2jTbURUHyRMFWUoiJNlfu1vpT6KEr9kvqqXKNz3D0UX5Rbdv/Nq/KNKoq0EAqitBBGgXMoVQKI0lId+TSvG1GaJrAMqyNKMwSXQbNCfJjO4DIKvgmiNMwQIUrDcEaUhuGMKA3DGVEahnM2ovS76VVL5t3SecnR6QttJlK01oEr9Ge72YuW21ujpztx+s7omdWuQ9G9u/fv4iJNd9iovWkX9UIt9UWU+iX1yjX6yYQ5NnPhshjS8uaNbbf+nV2+0cH9OhUkakRpQQ4LJ1UiBBClJTLQ2V4mojRbgtHaI0qjccpFrUJ/mM7FNRbCMRClYUYBURqGM6I0DGdEaRjOiNIwnCfMWmgz5y60TXp0tHYtmtTa6Zi1mytJjLpo0WkLqokd3zB+9/lNK9rYpt3L61U0Yj6p16dnu9Vr1lTbDGr+0hUxND3aNXebQUmaKtq0fcva500+edZ27EIVpX5JvaJGlWtUS+pXrl4Tuwzl3pUcVdRon06t1ge6tPpElKaFi8oQyCkBRGlOcRbvwRClYcYWURqGs3qpTw/T4ajkvidEae6ZJjsiojQMZ0RpGM6I0jCcEaX55SxBc9LDn9o/v58V6+isIX3twr37xZbMu3yiihqdtsBmxUW71SpFK8ptYEX9WaKdX8I1j16fn+0U8eiX6E+cnZDXdEAX27FPBydOlT9zfZdCEqV+Sb3LNTpxjikKO74ovYHPN9q0UcP1jS6t/hGlaeGichoExo8fb7NmzbIddtghcqvKykorKyuzxo0b19pGc/bf//637b333q5ufS6I0vo8egHPHVEaBjaiNAxnRGk4zojSMKwRpWE4I0rDcEaUhuGMKM0v53veHWc3vvFdjU7atWxicxev2xUdKZq7cajPojSegvLQemn61eR51QDtukkn27lPB9t+ow62dc+2uYOXxpHWtyjVknqfa1SC+edF65bUd2rd1EWNKt+oWNXngiitz6OX3rlfccUV9tFHH8UatW3b1snGY4891po2bZryYJMnT7bbbrvNbrrppkiC8sEHH3T9/fWvf015bF/h+OOPtwEDBtgll1xSa5uxY8faGWecYS+99JK1aNEi8rELsSKitBBHpQDPCVEaZlAQpWE4I0rDcUaUhmGNKA3DGVEahjOiNAxnRGn+OC9ettKO/dsnlrh5D1I0f8yL9dlOkcZOmo6eYe+OSchr2r3c/mfjjrZ976po0+ZNwkRwhRalfkm9IkarltTPNaUu8GXz7uW2+4DOduBW3W2jAoi4zdUsR5TmimSOjjP9G7Px75mtWGLWqb/ZwINydGAzidLFixfb+eefbxr3kSNH2qOPPmp9+/a1W265xRo1alRnX99++62de+659uqrr9YZ8ekPkokoVRSq5GfXrl0RpTkbeQ5U7wkgSsMMIaI0DOdifZgORy96T4jS6KyyqYkozYZe9LaI0uissqmJKM2GXvS2iNLorKLW/NfYWfbWqBlObE1PsumSjnPVrza143feMOohqZcGgWKJKK3tkpXOoSrStGpDKAlEX7q3a25aZl6V17SDdStvlga59KqGEKVaUh+fa3TszEWxkyxr2MBFje4+oIsdOqi7NS6rX0vqo9JGlEYlFaDed6+aPXlk9Y62PNLskHtz0rlE6Zo1a+yPf/xj7Hg//PCDnXnmmTZs2DAbOnSoffLJJy5iVPNCZYsttrDLL7/cysvL7aijjnJL6Tt16mQNGjSwiy66yJYvX15rfbJ48NQAACAASURBVInSN954w4nYzz//3Jo1a2YXXnih7bLLLu7YimQ94YQT7P333zdFiV511VX27LPPWp8+fdy56Fz1f33p9aBbt252zjnnWKtWrapFlH711VfuHPS7Lbfc0m6++Wb78MMPTZsc9urVyy699FLr3bt3Thjm+iBElOaaaJEeD1EaZmARpWE4q5dif5gOR7LunhClYUYCURqGM6I0DGdEaRjOiNLccB41dUFMXOnfvmgJcGLe0bYtGtt/LtnNtCETJfcESu3Z7qPxs2NL9CfNWRID2qJJmQ3p19ltBLXDRh2sf9fWOYWdL1GqJfU+16iW1M+JS1HRvW1zFzW618CutsvGHXN6PYV6MERpHkfmvevTO/g3z5rNHluzzU5nmDVNI2/0JvuaVWxV4zjJRKkqKcK0efPmdu2119o333xj48aNs/79+9vSpUvtuuuusx133NEuuOACe+655+zee++1q6++2kWf9uvXzyZNmlRrfYnSJ5980g444AAnMJ9++mmbMmWKDR8+3J3bnnvu6b4PGTLESVClAfjTn/5km222mZ122mmu3p133mmHHnqo7bTTTvbBBx9YmzZtbPvtt4+J0h9//NHOO+88O/LII+24446z+++/31588UV3LcpfOmLECNdWbQqxIEoLcVQK8JwQpWEGBVEahjOiNBxnRGkY1ojSMJwRpWE4I0rDcEaUZs55+vxKJ6je/HaG/Xvsus2aWjVtZPtv0S2WH/HJTybZP0ZOtTmLllnfLq3txF1626Be7TLvmJZ1Eig1URoPQ5sY+Tn59ZTqeU137tvRRZr6aNMGDbKbSLkSpYqIjc81KkkaX7bZoJ2LGt1v8662YYf1v4lVdtTSb40oTZ9Z5Bb3/dJs2leRq+es4in/TEuUKu/oZ599Zo8//rg7BUWNKgJ0xowZ9t5771nLli3trrvustqW3tdWP3HpveopKvWBBx6wDTbYwIlSydtdd901dulnnXVWTJQqX6mW4F9/fXXh7HOU3nrrrS6q9fDDD7cTTzzRHUNi9Z133nFtJHIV+VrIBVFayKNTQOeGKA0zGIjSMJwRpeE4I0rDsEaUhuGMKA3DGVEahjOiND3OK1atjomo1/873SpXrIodQJFu+29e4SRp4s7aWmKo3HOKtqHkl0Api9J4sjMWVIl8ff3z+3UiX3U2616+VphKnHYwRTmnW7IRpVpSX5VrdK59OmGO/TBr3ZJ65VjdvX9n261/Fztwqwpr1LCwRUq63NKtjyhNl1ga9V1E6bo8tylbuojScTWr7XRmmhGl+6QlShUtqryg11xzjcs/KnHao0cPt2ReS/O10dNf/vKXpKK0rvrJcpTus88+Ls/pvvvu60TpDTfcYIMGDUoqSlXXpwSIh+JFqSJGtZxfkapNmjRxVaZOnWpXXnmlTZw40UWUqo/TTz+9YDd9QpSmvCuoIAKI0jDzAFEahjOiNBxnRGkY1ojSMJwRpWE4I0rDcEaURuP88fjZLnL0zVEzbPLcdcubt+zZ1kWOSo5qWXBtBVEajXMuaiFKa1JcvrJK8GszKH3XRmO+aN7uuFEH22Ej5TVtHzlqM11ROnLyvLWbMFVtxjRvyYrYOfTu2NItqZcc/UWfDrmYBkVzDERpAQ3leshRqs2TtIO8vg488EA77LDDbPDgwS5vqYqiPxVdKlE6evRolwf05ZdfdvJUpa76iaJ0+vTpLi+pcqTusMMOKUXpEUccYVtttZXLMZpMlP72t7+1Z555xqUJUARpw4br8ghLmCrfqlIFJJOthTLqiNJCGYkCPw9EaZgBQpSG4YwoDccZURqGNaI0DGdEaRjOiNIwnBGltXPWxjF+05wvJ61bxlzRtrkdoKX1W3SzLXu0jTRQiNJImHJSCVGaGuMHPyivadVmUFPmLo01UF7TX/TpWJXXtHd70wcBtZVUolRL6uNzjWp5fXyREJUY3WtgF+vVoUXqky7RGojSAhv4QLve673T119/7Xa933TTTV1kp5apa7n7hhtu6HKSKv+ocoZqpYJEqXKWSqYq8lQ5R7XZkgRrbfUlSt9++20nK7Xpk47x0UcfObmpCNZUEaVa7v/aa6/ZxRdfbDvvvLMTn3ovoo2Z1O9LL73k0gMoYlTL9y+77DJ3PQMHDnSCVXUlZpXvdL/99iuwga46HURpQQ5L4Z0UojTMmCBKw3BGlIbjjCgNwxpRGoYzojQMZ0RpGM6I0uqctXGMX6789ugZsV9q+e+BW3V3clTLgtMtiNJ0iWVeH1GaHrvR07QRWVWk6Tc/za/WeNsN27ml+VV5Tdtbs8ZlbnOl//fJJPthxnzr0ral7b9FhW1aUZVS4sfZa5fUT5jjJOmEnxfHjlfevHEsalT5RhsWeG7C9CjmrzaiNH9sC+3IygcqUamiZent27e3PfbYw8nExo2r0mNoB3pt4CSxqTrKESqpec8997jfKweo34xJmzrJK9RW/6GHHrKnnnrK7T7v+1QbRZOqSJTeeOONtvXWW8dQnX322S5H6amnnurErKJPJUh9e+UkVX5TyVGdhzahkvCV2FWuUsle9enrb7PNNvZ///d/7loKsSBKC3FUCvCcEKVhBgVRGoazeuFhOgxrRGkYzojSMJwRpWE4I0rDcEaUVnGWFJUo0qZLS5avyzu66yadYkvrtUlTpgVRmim59NvxbJc+M99i2toNyhRt+u+xP1c70MadW9n2G3Wwt7+dYcp/Gl9O2KW3TZ69xC2pX7B03ZL6fl1b2+79uzhBqk2ZKOkTQJSmz6zYW+jviZauayd67W6fWCQwJVLLy8vdr1LV13Pt7NmzraKiIiNhqb7mzZtnHTt2rLa8vrZxkFNSf6pfqILUnzuitNjvphxdH6I0RyBTHAZRGoazeuFhOgxrRGkYzojSMJwRpWE4I0rDcC5lUarl9BJCr3wzzUXC+TKgWxv71dql9RvkaJdtRGmY+cyzXe44a6MyH2mq3KZL4z5AqKuXwf06uSX1kqN15e3N3ZkW95EQpcU9vlxdYRNAlBb2+BTM2SFKwwwFojQMZx6mw3FGlIZhjSgNwxlRGoYzojQM51ITpZPmLHHy57X/TrPPJq7LmdihZRM7aO3S+nxEviFKw8xnnu3yx/n9cT/bPe+OM+U3TSwbdWppl+47wPYc2CV/J1CiR0aUlujAc9kFQQBRWhDDUPgngSgNM0aI0jCceZgOxxlRGoY1ojQMZ0RpGM6I0jCcS0GUaodvv2O9BGl8OXDLCpd3dO9Nu+YVOKI0r3irHZzVQvlj/a+xs+y3f6vKRxhfLtirn529W9/8dVzCR0aUlvDgc+nrnQCidL0PQf04AURpmHFClIbhjCgNxxlRGoY1ojQMZ0RpGM6I0jCci1mUSuq8NWqGvfjVT6YduH3ZcaMO9qstu9n+m1dY2xZVG2TkuyBK80143fERpfllfeLDn9qIMTNjnfTu2NKePnUn69S6aX47LtGjI0pLdOC57IIggCgtiGEo/JNAlIYZI0RpGM6I0nCcEaVhWCNKw3BGlIbhjCgNw7nYROmoqdrBe7oN/2qqjY/bcVtLg93S+s27Wd/OrcLAjesFURoOOaI0/6z/+f0s+2HaHOvarrXttVk3a9SwQf47LdEeEKUlOvBcdkEQQJQWxDAU/kkgSsOMEaI0DGdEaTjOiNIwrBGlYTgjSsNwRpSG4VwMonT62p26X/56qn08YU4MXMumjezXW3d3S+sVRbo+C6I0HH1EaRjW8+fPt9atW0fa5TrMGRVnL4jS4hxXrqp+EECU1o9xWu9niSgNMwSI0jCcEaXhOCNKw7BGlIbhjCgNwxlRGoZzfRWlK1atdpsyvfrNNHv56+p5R5Vv9Fdrc48WSpwbojTMfObZLhxnRGkY1ojSMJzpBQLJCCBKmReRCCBKI2HKuhKiNGuEkQ9A1EFkVFlVRJRmhS9yY0RpZFRZVUSUZoUvcmNEaWRUWVWsb6L04/Gz7fVR0+35L36y+UtXxK59615tY0vrCzFXIqI0q2maVmOe7dLClXFlRGnG6NJqiChNCxeVIZBTAojSnOIs3oMhSsOMLaI0DGf1wsN0GNaI0jCcEaVhOCNKw3BGlIbhXB9E6diZi1zeUcnRcTMXxcBUtG1uvx5UlXd0QLc2YYBl2AuiNENwGTTj2S4DaBk0QZRmAC2DJojSDKAVeZPKykorKyuzxo3DbEYYBeeoUaPsu+++s+2228569uwZpUm9qIMorRfDtP5PElEaZgwQpWE4I0rDcUaUhmGNKA3DGVEahjOiNAznQhWlcxYvd0vrtWP9hz/MjsHQpjG/HtTDLa3/n407hoGUg14QpTmAGPEQiNKIoLKshijNEmDE5ojSiKCKoNoVV1xhH330ken7rrvuGruis88+28aMGWPXX3+9bbPNNnb88cfbgAED7JJLLimIq/79739v33zzjW288cb2q1/9yt5880076aSTbJNNNimI88vmJBCl2dArobaI0jCDjSgNwxlRGo4zojQMa0RpGM6I0jCcEaVhOBeaKH179Ay3Y/3wkVOrARjcr5MdrF3rt+hmjcsahoGTw14QpTmEmeJQiNIwrBGlYTgjSsNwjtrLmDlj7KNpH1nlykrr07aP7bnBnlGbpqznRWmPHj3soYcecvXHjx9vp556qvu3F6X6WYsWLaxr164pj5nvCnomPuigg+zuu++OidE999zT/vjHP9oOO+yQ7+7zfnxEad4RF0cHiNIw44goDcMZURqOM6I0DGtEaRjOiNIwnBGlYTgXgij9ctI80471z3/5k81dvDx24VpOr6X1B2xRYd3Km4UBkqdeEKV5ApvksIjSMKwRpWE4I0rDcI7Sy7uT37VzRpxTreqBfQ60a3e5NkrzlHUkStesWWMff/yx3Xjjjbb11lvbVVddZU2aNLF33303JkpvuOEG69Onjw0dOtTVf/bZZ92X7slu3brZOeecY61atXJtL7jgAnvsscdszpw59vDDD9sPP/zgjjNx4kRr27atDRs2zPbee293bh988IETnrNnz7aWLVvaXnvt5SSt3MT9999vr7zyii1fvty22morUxSp2p9wwgk2ZcoU69SpkzVo0MAGDRpkr7/+umuvrwMOOMCOPPLIlNdeqBUQpYU6MgV2XojSMAOCKA3DGVEajjOiNAxrRGkYzojSMJwRpWE4ry9ROmnOErdjvfKOfj9jYexiO7Rs4pbWH7hVhW3evTwMhAC9IEoDQF7bBaI0DGtEaRjOiNL8cb7nq3vSOvhrE16ziQsm1mhz7MBjrVXjVpGPNbjnYBvYYWCN+hKl5eXlTjhOmDDBrrzySjvqqKPsgQcecELTR5SeddZZttlmm9lpp51mw4cPtzvvvNMOPfRQ22mnnZzsbNOmjW2++eZOkjZv3twJz2bNmtmxxx5rhx12mG2wwQbu35988om99NJLdvvttzvxqmXzEpv777+/61/C9n//93/tqaeechGukqKKYr3vvvucGL3jjjvs5Zdfdt8vv/xyF+UqeXrmmWfa0UcfbQMHDnTitj7nLEWURp7WpV0RURpm/BGlYTgjSsNxRpSGYY0oDcMZURqGM6I0DOeQonTxspWxHev/M+7nahd40FYVbmn9kP6dw1x44F4QpeGAI0rDsEaUhuGMKM0f5yNePsK+nf1t/jqo5chPHfBUnaL0mGOOcSJTOT87d+5sl156qROYyUSp8pVKXup38eXrr792ovSFF15w0aUq77//vl199dX2yCOPWEVFhfuZxKk2YDrjjDPskEMOccL1t7/9rZOevuhcJFIVoaqiHKQ33XSTPfPMMy5SVVGn8f2w9D74lKLD9U0AURpmBBClYTgjSsNxRpSGYY0oDcMZURqGM6I0DOcQovRf38+yF778yX3Flx036hBbWt+iSVmYC15PvSBKw4FHlIZhjSgNwxlRmj/Ofxn5F7d0PWoJFVF64YUXug2dtLGToje7d+9eqyjdZ599XLSpluEnE6WSmopQVdHyfEWGagm9L3/4wx9M7x9uvfVWt0RfElVFfUqebr/99i7C9MQTT3QSVWXq1Kl23HHHuUhWpQVAlEadQdQrWgKI0jBDiygNwxlRGo4zojQMa0RpGM6I0jCcEaVhOOdLlI6ausBe+uont7T+50XLYhezUaeW9uutq5bW92q/LmIlzNWuv14QpeHYI0rDsEaUhuGMKA3DOUovIXKUaum9RKlyiCoCVNGleh6qLaL0iCOOcDlDFXWaSpSOGDHCrrvuOhcJqiXyKopI7du3r1tir1JZWWljxoyxRx991H3/xz/+4XKMbrvttnbRRRe5Olrer7QAjz/+uJOsyUTpNddcYzvuuGMUrAVdh6X3BT08hXNyiNIwY4EoDcMZURqOM6I0DGtEaRjOiNIwnBGlYTjnUpROn19p/xhZtSnT6GkLYhfQsmkjO3RQdzt46+42qFe7MBdWYL0gSsMNCKI0DGtEaRjOiNIwnKP2ku9d770ojT+fukTpXXfdZa+99ppdfPHFtvPOO7u8o3o/oOX4WnofH1GqZfLKeaql8SeffLJ9+umnbsn+ZZddZv369XP5SiVe27VrZ0888YSTpRKl9957r7311lsm+anjakd7bfgkUapcpomiVMfWRlSnnHKKOxcvZaMyLqR6iNJCGo0CPhdEaZjBQZSG4YwoDccZURqGNaI0DGdEaRjOiNIwnLMVpStWrbZXvp7m5KiW2MeXvTft6pbW63upF0RpuBmAKA3DGlEahjOiNAznQuhFy+0lFSU46xKlZ599ttvMSYJy6dKlTlxKkKqUlZW5yE/lNj3//POriVL9/r333nNyVH+TVBSpeu6559qsWbPc5lB6z6aizZokOgcPHmx67pVMHTVqlPudNou64YYbXCTq+PHja4hSSVVtELV8+XI78MADTedbXwuitL6OXODzRpSGAY4oDcMZURqOM6I0DGtEaRjOiNIwnBGlYThnKkq1GZOW1T//5RSLT/G2da+2saX15c0bh7mIetALojTcICFKw7BGlIbhjCgNw7m+9yIpOW/ePOvYsaM1bNiwzsuRa1Ce0Q4dOljz5s2r1dV7Njmf9u3b1ziG7nktze/SpUtKXOpDEazqw+dITdmoACsgSgtwUArxlBClYUYFURqGM6I0HGdEaRjWiNIwnBGlYTgjSsNwTkeUfj9jYUyOzlywLu9oRdvmLnL011t3t406Ve2uS6lOAFEabkYgSsOwRpSG4YwoDcOZXiCQjEDRiVIJvUaNGiUdbYUVt2rVqoY9V2XtejZjxgxn4pO11wuVHiiTGfZSmFqI0jCjjCgNwxlRGo4zojQMa0RpGM6I0jCcEaVhOKcSpXMWL3e71T//xRTTBk2+NGrYwH49qIcTpNq9nlI3AURpuBmCKA3DGlEahjOiNAxneoFA0YvSSZMm2UknnWSPPPKIVVRUxK5XO4cp34PPu6BduLRblxeiifkahg0b5pLZquhN0SWXXOJ2/lJREttbb73V5W4opYIoDTPaiNIwnBGl4TgjSsOwRpSG4YwoDcMZURqG88hJs23BkmW2Wa+O1q5Fk1inw7Up0xc/2Xvfzax2IoP7dYotrQ9zhsXRC6I03DgiSsOwRpSG4YwoDcOZXiBQ1KL02GOPtenTp7trTBSlSk7bokULu/baa23atGl2xhlnuC8lmFUS3EMOOcR+85vf2DHHHGMjRoywm266yR588EHr2bOn3X///fbKK6/Yfffd546hhLT6uXb+KqWCKA0z2ojSMJwRpeE4I0rDsEaUhuGMKA3DGVGaX87jf15spz36uWk5vS/H7LiBLVu52l74YoqtXL0m9vMB3dqsXVrfwzq0WidT83uGxXV0RGm48USUhmGNKA3DGVEahjO9QKCoRamWzUuUXnjhhdVEqV7Ihw4d6nbnGjRokGOg3cFU/84777R3333X/vSnPzkZ2qRJ1QPgoYceagcffLBJvh511FFuxy/t/KXy2muvuYjSN998s14np033dkCUpksss/qI0sy4ZdKKh+lMqKXfBlGaPrNMWiBKM6GWfhtEafrMMmmBKM2EWt1tJD+XLF9pS5avsquGj7LX/1sVXJCsdGjZJLa0XqKUkh0BRGl2/NJpzbNdOrQyr4sozZxdOi0RpenQoi4EckugqHKUSn4qKjQ+onTcuHF2+umn2xNPPBFbLq/fv/HGG+5nTz31lD399NP23HPPxcgqanSDDTZw0nWfffax3/3ud+67yqhRo9z/n332WSsvL8/taBTw0RClYQYHURqGs3rhYToMa0RpGM6I0jCcEaVhOJeyKK1cscrJzKqvKrFZ/d8rbcmyZHWS1V13jOUrV6ccvF036WQn7dzbftmvtNJLpQSTZQVEaZYA02jOs10asLKoiijNAl4aTRGlacCiKgRyTKDoRemXX35pF198cTWxKTn6+OOP2/Dhw93SekWVSpr6ctFFF1nLli1dHtO99trLLrvsMhsyZIj7tRevXsYqEX4pFD3kLV++POlGWKVw/aGuUZuK6Y245h8lvwQklrS5GyW/BDSfmzVrZg0bNsxvRyV+dKWRady4ca2bGZY4npxdvgSe5rJYU/JHYOKshbZy1Srr27Vt/jrJ4sirFJ25YpUtjUnMKnG51IvNtbIz/vdL3c/WyczY7xLqrl6zbtl7FqeYtGmTRg2tRZMyd67JxOnr5+xsfTrx/JFr7voQvLKy0qXwouSXAM92+eXrj7548WL3npBnu/zy1rOdVryWlZXlt6MCOTrPVgUyEJyGI1D0ojQXEaXnnXee7b333g5YYkSp/iCXQpHAkyz1G2CVwjWvr2tU9C6c809fH3LwBzn/nDWf9YDXoEGD/HdWwj3AOczg6++g5jJvDvPDe/T0RXb58DH2/czFroNu5U3tin03sV37ts+oQ+XcdELSS80V1f9fJS9XW9X3Ve770uWr4+pXydClK1bHfq96Om6+SsMGDax5k4bWonGZNW9SFvvevHGV5GzeuCz2Pb5e1c8bJvxe7RvGjlPWsOp1+O8fT7Eb3/qh2iVsXtHanjyxKkUVJbcEeIbOLc+6jsazXRjWvFcJx7mUnqEJYAkzr+glGoGiF6U+R+mNN95oW2+9taOijZhmzpxZLUfpq6++GpMmyk+qPKU+R6miSU8++WTXlhylraPNLGplRICl9xlhy6gRy7MywpZ2I5bep40sowYsvc8IW9qNWHqfNrK0Ghz34Cf2z+9nVWvTuU0zO3e3vimWoydfpq7Iz3yVZmuFpZOXEppNGjmBue57ldCs/n9fR23W/Tu+jo4bojz8wUR759vptnjZStusR1s7Y0hf69qmWYiuS64Plt6HG3Ke7cKwZul9GM4svQ/DmV4gkIxA0YhSfbKlHe1PPPFEt5y+R48esag8bcTUunVrt4mTNnxSzlJ9HXTQQW6Zs74rt+nRRx9dY9f7v/71ryaJqu9aMnPWWWex6z33Ut4IIErzhrbGgXmYDsMaURqGM6I0DGdEaW45S9KNnrbQvp22wEZPW2BPfzbZcik3FUFZl6yMF5S1iUtXp2lN6anIz/peFH2ndBJE8eR3JBGl+eUbf3Se7cKwRpSG4YwoDcO5EHq54oor7KOPPjJ933XXXWOnpL1zxowZY9dff71ts802dZ7qe++9Z998842pDSV7AkUjSrXZkh5EfFE+D+1krzJhwgTT8nnlU1HZfvvt7aqrropFkL7zzjtu8vlywgknuN3uVfTmUzlOx44d6/7fuXNnu+2229z3Uips5hRmtBGlYTirFx6mw7BGlIbhjCgNwxlRmjnnn+YtdTL026lVUlSCdOLsqueyVGXoNj2tTfNkEZvxUZnrojd9hGfTRuRGrostojTVzMvN7xGlueEY5Sg820WhlH0dRGn2DKMcAVEahVK4OpWjx9jiDz+wNZWV1rRPX2u9914569yLUgX7PfTQQ+6448ePt1NPPdX9O4oofeyxx0xey7fP2cmV6IGKRpRGGb8ZM2a4TXKSfXIuQTV16lTr0qVL0ryF+oOgzYw6dSrNnUARpVFmWPZ1EKXZM4x6BB6mo5LKrh6iNDt+UVsjSqOSyq4eojQ1P+1F5CNE/ffRUxfYvKXJN78c0K2NDezWxvT9gx9+thFjZlbr5JebdLJHTtw+dcfUSJsAojRtZBk1QJRmhC2jRjzbZYQt7UaI0rSRZdQAUZoRtrw0WjhihE0548xqxy4/+GCruP66nPQnUap81h9//LH5lJEK7FPwnzYe96JUG3zdfvvt9v7777vVzgceeKANHTrU5LnOPPNM56t8QN/f/vY30ybmzz33nPmNwfbdd19Xj70jUg9bSYnS1DioURsBRGmYuYEoDcNZvfAwHYY1ojQMZ0RpGM6I0uqc5yxevjY6dMFaObrQ/T9ZaduisZOhXooOrKj6d2K5+h+j7N/fz7KVq9fYdr072CX79LOOrZqGGeAS6wVRGmbAEaVhOPNsF44zojQMa0Rp/jj/fNfdaR18/iuv2PIJE2q0aX/cb61h6+h7uLQeMsSabbppjeNIlJaXlzuBqdXQV155pVvh/MADD9iwYcNiolTyVCud/fL6m266yY477jjbY4897NZbb7WRI0faRRdd5I6/7bbb2ltvveXSUfbs2dMmT57sjnP55Zfb4MGD07r+UqyMKC3FUc/gmhGlGUDLoAmiNANoGTZBlGYILs1miNI0gWVYHVGaIbg0m5WyKB3/82JTZKhbPr82p+i0+ZVJCW7YoaVJhFaJ0dbue0Xb5pFpK2+m5JKiJSj5I4AozR/b+CMjSsNwRpSG44woDcMaUZo/zhMOHWqVo0blr4Najtz7uWfrFKXaN0cbim+88cYuMvTSSy+1Aw44wAnOgQMHughSidFBgwa5Hp5//nmbNWuW3XHHHVbb0vtx48bZqFGjXL0XXnjBDjvsMDv++OODX3t96xBRWt9GbD2dL6I0DHhEaRjOPEyH44woDcMaURqGcymIZvdCQgAAIABJREFU0soVq2Ii1G20tFaOLl2xLg+8p92kUUMXFbpOilbJUW2glE1BlGZDL3pbRGl0VtnURJRmQy+9tnwInh6vTGsjSjMll147RGl6vNKprYjSNbYmcpMFr7yaNKK0w3HHpRVR2mrI4DpF6YUXXug2dNLGTvfdd5917949Jkrbt29v2qRcqSC1JN8X/VzRpMlE6XXXXec2K+/fv7/16tXL/v3vf9vBBx/sNkCn1E0AUcoMiUQAURoJU9aVEKVZI4x8AB6mI6PKqiKiNCt8kRsjSiOjyqpisYnS6fMra+QTHT8r+QZLXdo0W7d0vqK1E6R9OrXKimdtjRGlecFa46CI0jCcEaVhOKsXnu3CsEaUhuGMKA3DOUovIXKUaum9ROnEiRNdDlJFl+p5yEeU9u3b1+UjVY7STZMs35coffvtt+3hhx92lzR79mz7zW9+Y9dcc43tuOOO7menn366bbfddojSCIOOKI0AiSpmiNIwswBRGoYzD9PhOCNKw7BGlIbhXJ9F6Zjp2nG+KoeoXz6vHKPJSr+uVSI0llO0oo11aLkueiHftBGl+SZcdXxEaRjOiNIwnHm2C8cZURqGNaI0DOeoveR713svSuPPJ16UbrPNNnbyySc7L3Pttde6pfmjR4+2zz//3C2l13flH5UwbdiwoZWVlTmxKjm611572WeffeaW8B9++OGI0giDjiiNAIkqiNJQcwBRGoo0UQehSCNKw5BGlIbhXB9E6fylK9blEZ26bpOl1dqOPqG0btbY5RBNXDpf1rBBGKC19IIoDYMfURqGM6I0DGdEaTjOiNIwrBGlYTgXQi9abt+2bVu74IILqp1OoijV7vZXX32129DJF0WcnnvuuU6gapMn5SRVGT58uD3++ONu53sVHV9/95XnlKX3qUcdUZqaETUMURpqEiBKQ5FGlIYijSgNQxpRGoZzoYnSH2cvqba5kjZZ+mnu0qQwerVvURUhGttkqY31aBd9g6UwhKt6QZSGoY0oDcMZURqGM6I0HGdEaRjWiNIwnOtjL5WVlab7sEOHDm5X+/iinyuHafPmVc94eo+g92MVFRX18VLX2zkjStcb+vrVMUvvw4wXojQMZx6mw3FGlIZhjSgNw3l9idLlq1a7Hef9bvNuk6VpC2zxspU1LrxRwwbVZKgXo62aVn+QDkMss14QpZlxS7cVojRdYpnVR5Rmxi2TVuQozYRa+m0Qpekzy6QFojQTarSBQG4IIEpzw7Hoj4IoDTPEiNIwnBGl4TgjSsOwRpSG4RxClM5cuKza0nnlEx07c1HSC+zYqqmTovH5RDfukp8NlsIQruoFURqGNqI0DGdEaRjOPNuF44woDcMaURqGM71AIBkBRCnzIhIBRGkkTFlXQpRmjTDyAYg6iIwqq4qI0qzwRW6MKI2MKquKuRal38+o2lzp22lrN1mausBmLVqW9Bz7dm7lhGj80vlOrZtmdT2F2hhRGmZkEKVhOCNKw3BGlIbjjCgNwxpRGoYzvUAAUcocyJgAojRjdGk1RJSmhSuryojSrPBFbowojYwqq4qI0qzwRW6cqShdVLkytmzeL5/X95Wram6w1LJpI7fB0oBu5WujRfXvNta4rGHk86zvFRGlYUYQURqGM6I0DGdEaTjOiNIwrBGlYTjTCwQQpcyBjAkgSjNGl1ZDRGlauLKqjCjNCl+kxt9OXWDfT51tndu2sl/07RSpDZUyI4AozYxbOq2+njLfvpo4yxo1KrMd+nSyPp2SL3GfPFcbLC2sllN00pwlSbvq3rZ5jXyi2nSp1AuiNMwMQJSG4YwoDcMZURqOM6I0DGtEaRjO9AIBRClzIGMCiNKM0aXVEFGaFq6sKiNKs8KXsvElz31tT306OVZPEXGPDdvBOrRskrItFdIngChNn1k6Le557we78fUx1ZrccviWtkmX1m7pfNXy+QU2eupCW1C5osahGzSw2LL5+HyibZo3Tuc0SqYuojTMUCNKw3BGlIbhjCgNxxlRGoY1ojQMZ3qBAKKUOZAxAURpxujSaogoTQtXVpURpVnhq7PxyMnz7KC7/1Ojzjm7b2zn77lJ/jou4SMjSvMz+FoaP3X+Utvn9n/ZkuWrInXSvmUTt1Te5xPV935dW0dqS6UqAojSMDMBURqGM6I0DGdEaTjOiNIwrBGlYTjTCwQQpcyBjAkgSjNGl1ZDRGlauLKqjCjNCp/NXrTcCaRp8yqrvsf9e/zMxTZnyfIaHTQqa2C9O7a0buXNrVt5s7jv+nfV/1s1a5TdiZVoa0RpZgM/ff7a+Tuv0s3hqfMrbdq8dd+1A31dZaNOLdftOL929/kubZpldjK0ihFAlIaZDIjSMJwRpWE4I0rDcUaUhmGNKA3DmV4ggChlDmRMAFGaMbq0GiJK08KVVWVEae34FixdUV0YxQvRtWJ0+crVWfGvrbFEaU2J6sUqMrU2bojSmmTmLF5uU+dJ4q+ToV7uOyk6r9JWr6m5mVLikSQ+Zy6otMSakv7vXjg4L/dBqR8UURpmBiBKw3BGlIbhjCgNxxlRGoY1ojQMZ3qBAKKUOZAxAURpxujSaogoTQtXVpVLVZQuXb4qIRK0MiaTfCTd4mUrU7JVrtFubZtbhSJB136vaNvc/Vui86j7P7YfZy+udpz7jt3GNurUKhZ9KoE13UWjVkXz6fvCytR9t2rayLq1TYxILW2ZWmqiVPPEy04/d2JS1EWELrVlK1LLfC2Tr1CEc9tmNb+vncsNGzSwP7z0X/v7hz9Wm8+/37e/nfbLPinvFSqkTwBRmj6zTFogSjOhln4bRGn6zDJtUarPdpnyyrQdojRTcum1Q5Smx6u+1r777rvtrbfeshdeeMEaKKn92jJ16lQ77rjj7NZbb7Xx48fbXXfdZfvvv7/97ne/i9V59NFH7e9//7sddthhdsopp9g+++xjw4YNs6FDh7o67733nl177bV2yy232BZbbOF+dv/999t//vMfe/jhh+srsiDn3WDNmgjhFEFOhU4KmQCiNMzoIErDcFYvxfgw7fMpJlsO7382b0nNjWYSqbdu1ihBGjW3igSR1KRRwzoHa8rcpfb3DyfauOnzrUPr5rbfFt1sSL/OKQd40TIJsLXi1C2HRqamhGZmxSRKl61cXUPeV0nRdakeogj1pPM4TuxL6jdNMY/j2T/3xRT7YuJsa1zW0Hbs28n22bRrlKGhTgYEEKUZQMugCaI0A2gZNEGUZgAtwybF+GyXIYq8NkOU5hVv7OCI0jCco/by8+RFNnnMHFu5fLW179bC+gxK/b4myrF/+OEHO+200+zmm2+2LbfcMtZEIvPFF190AnX48OFOlKo8++yzVl5ebvIzv/71r23p0qVOjJ566ql28cUXW8OGDe366693dSVIX3/9dTvqqKPshBNOcD9TXwMGDLBzzz03yumVbB1EackOfXoXjihNj1emtRGlmZJLv119fJh2AtHnT1y7dDg+N+isFPkURUliyEV+lq+Vn2uj5qp+1sz9ThGbuSoLFiywli1bWllZWa4OaTmVqWvFWdVy/5pRqvUlZ2p9EaX6aLZq+XvNfKA+P+jsxTXz2yZOnmaNy6pFM1ePbq6KEM3lPPb9L1myxM3lpk2b5mw+c6AEAisrbcWED231yhXWdINtzFp0AFGeCCBK8wQ24bCI0jCc1Ut9fLYLRyd3PSFKc8eyriMhSsNwjtLLhJE/26t/+bpa1f47drPdjx8QpXnKOhKZkqSXXHJJrK5+tssuu9gZZ5xhL730kj311FPu+fMXv/iFnXzyyfbyyy/bk08+aY0bN7addtrJidLnnnvOHnzwQXvllVfccY4++mjr2LGj6e+QRKuczr777mtXX321k6XnnHOOzZo1y9WtqKhworV///7u/8cee6yTq++//76NHTvWrrrqKmvevLldd9117v+9evVyolZRrMVYEKXFOKp5uCZEaR6gJjkkojQM50J8mP550bKqXIo+p+La7/FCKVU2RS0RTlxCrEhQL0X1XUuNQ5Z8iNIo519SMnXxLFs6+Wtr3KKNNeq1XRQ8easjWV9tky+/2dfa79o8KVUpa9ig9uXwa5fJt2sRdh77c0aUphq9LH8/7m2zZ080q5y/7kAH3W229TFZHpjmyQggSsPMC0RpGM6F+GwX7srD9oQoDcMbUZo/zp+8PCGtg4/9dIbNm7GkRpstd+9pTZpHDzDpvUVH69SrdY3jPPbYY056KnJUH8hrqb3Ep5bJb7jhhjFRquX1ihZ9/vnnncQ86aST7IknnoiJ0kmTJrmfqV2HDh2cyNTS/YsuusjJ01GjRtkFF1zgjqdnAB1n0KBB1qRJE3vooYdsypQp7ngqe+65p/s+ZMgQ69atm+2+++523nnnWb9+/ZyAnThxot1+++2uXY8ePdLiWR8qI0rrwygVwDkiSsMMAqI0DOfQD9Pzl66olk9Rm8jER4JqWfzyVanzKXZu3bRGXtCqSLqq6NBC3G17fYnSKDMpJlO9lM5mmb+PRnViOmBk6n/uMHvrD+sut1M/syMeN+u4cRQEadWZp3kcJ/LX7RC/dkn8/2fvTOAkp6r9/0tSe3VX78tMz74As7INwyA7yCqgCCICKiAqogj6FwR8iE9xw+WpiAuoKAqijrjwAB/KKusMsswwwzDM3jPT0/vetSb5f85NUpWkUlWp7qrq6q7c+WRulpubm5N0Veqb3zlnIIyElAvnA60himtrjgmaindL93m5FgeUFvnK/OpMYM+LxoMEm4DLHgIEF8BnmfTbueyhQYp8FlOj+2e+DXnLI5Cjo+DbDgNOuAFoUlQkTimsBRxQWlh7ZuvNUZSWxtYOKC2NnR1QWjw7//Eb69G9Z7h4B8jQ80W3HGUJSknVSQpSUnqSYpTilr7wwgu4//77WU+aopSWL7roIjQ1NYFimBLovPLKK5OglNqed955LLZpS0sLfvGLXzCQSSpScsNft24dnn32WbaOCrntv/HGG9i5cyeDqC+//DKLl0qFQOmtt96KE044gS2/9NJLbJlinlZVVbF1NE99X3bZ9Huh7YDSkv95TM0DOqC0NNfNAaWlsXNclLBtbxcWtDXnFaPQanRjMdESguph6Ggsd4Ki2oA7PS6oKVESKe2mWilnUGrHlmUNU0l196056adx2KXA+35i5/SSbazuY0XdrGSHp5ra5CrmJF9aOAetJqivi1Ofq7uy2+6A0gJektgo0PM20L1Vrd8G3n4MkHO/NMo5CgKlZqiaD2i1ArK59qd9srXJtf9E9uXzDG3y7+8BT3zVaMbmpcA1Jkid09BOAzsWcECpHSsVpo0DSgtjx1y9OKA0l4UKs90BpYWxo1Uv6/NUlG7NoCg9LE9F6bwMilIaI8UOJQD61a9+Feeffz4++MEP4kMf+hAbvgZKSe1J8+RGT4pTik16+eWXG0ApuchHIhGmAqV4pddeey1TkR5++OEMdi5dupS585P7PCWG8vl8WLZsGWKxGP7zn/8YQOm3v/1tpjilQrFRf/7zn6Otrc1gUgoPQAmkpltxQOl0u6JFOh8HlBbJsKZuHVBafDt/89G3cM+/d0JS89hdeex8fPncpZYHJqCayx2eVHa5StCTytKud4XXZ9v2e/L8oZvroGWyfaqDUjtmtIKpBBbJzVzLyG4n+RDF1EyqUbMpU0e7gb3rgbceBl5X3GP0RRZ84BafCjQsBhoWQaxbiAPuWdgbC4JUoObwDrRMqudcJeRzG5Sg+pAOWrKvXEm+ch2j3Lc7oHQcV2isR4Gh3W+ngGjPVmBwr/3OWlcCsghICWUS1VpbTqtzQ337B58iLTW4awfI9u0CYiPpJ3bNS0BzYeKtTRGrlWSYDigtiZnZQRxQWhpbO6C0NHZ2QGlp7GznKNYxSltx6uXWvyHt9GluQ273P/nJT/C1r30Nt9xyCx588EHmPk9FD0rJZZ7aEVilmKVmUProo48yRSpBVwKYBDKpL8p0T3CU+j/qqKOYC//WrVuZ6pSA6uuvv85c9PWKUj0ofeqpp0DLFBvV5bIfbmA8tiiHfRxQWg5XYQqMwQGlpblIDigtrp2f3dqNj/xqXdpBPn7CAjRVeQ3qOXKH7x6J5hwQZcA2q+ZS6jlyMfajxu/O2c90bVAJoNTOtWMwVQu5wABqCqIeoORGgxFkgqkr+J04nHsHR/Dv4EhhG2aj084h09oMIYAd0gzslGdgh6zWkjLPuZUESHp4T/cuu5fVuKDFSI40rhOZxJ0cUJrF+AQ+kzBUpxId67XeiaTFjQcDFC6C1QcB259Mh/8rLgQu+GV+V51ehGWCqJaQNZ4bwGaDs+PdlhH65jmeQqhwycLBZmDxacDCk4EFJwEU9sApE7aAA0onbELbHTig1LapJtTQAaUTMp/tnR1QattUJWlYrKz32uApMSspSSkJLiVWIhiqFT0oNZ+sGZR2dXWxGKJUyDW/urqaAVJSkVIh0EmAlVSp5N7/wx/+kMUrpeOZXe/1oJT+7knlSq74pESlQu1p39NPP70k16CUB3FAaSmtPYWP5YDS0lw8B5QWzs6k9CSlnDIpKjoCpZs7hvI6CFP4sTigxqRIWpb4pjKOp5jXiRapsQNK7RuWYGrX/naEd74IYd8rqO55Da1DGyDIxtANUbjxqrSYTWcJ67CA6zAc5AeJC/Af6SC2fj7fgYVcBxYLB9Aqd2UeTKgNaFzEFKiaEpXN18+3fwIV0NIBpQB63kl3mScX+lh6kgN2S7gDCgxlQPSgFBjNFEf3xbsgbX8GspSAMHc1cOJNFXBnTfAUCZTqwXAucPvsHYoi3VAotIspxnDLUmCBCk0JnAqTk0RtgtaZ9N0dUFq6S+CA0tLY2gGlpbGzA0pLY+dyOspNN93E3N8padLZZ5+dHFo+oJR2uuCCCxgM1RIzybLMYolSpvq7776b9UsxTr/whS8ks94vWrQI27ZtMyhK77jjDuayr5VXX32VxSWl33dUKPEUufVriZ/KyZYTHYsDSidqwQrZ3wGlpbnQDii1Z2dyidfgJwOhahxFPRi1ExdUO9qi5ioct6jRMlHS1IsKas+GpWrlgNIclt7/KtC+XnGl37sO6N+dvkPDQmDWamD2URhrOhL7fIuY+nnD3kHc98+XcI3r71jC7cEYvHhSPBzP178PN5xxiAL3a/1IJkcS40DvNqCXQBfV6jzVY33WA6XYhwye6gCqBlQrUG1WMaA0EU2HoUwtujVzDNFAg6IKNatEa2bn/XETjUZBcCkQCOS9r7ODDQsMdwB/uhzY85LS2FMFnPF1YNYqYMfTqYk+M/Rl7rsUpSlNs4+2cSCnCVnAAaWluw8cUFpkW2/4I/DijyH37QAXaAQOv1RJBOeUoljAAaVFMavTqckCBExra2vzeuailyWkJKXQANxUTj6Q5W5wQKnzp2LLAg4otWWmCTdyQKliwu7hqAX8JCCqKENpe65CMT+1bPCk/qRJlGT86Il30nb9wyePwdHz63N16WwfhwUcUKoz2siBFBRtX6fAUVKB6YvbD8w6Cpi9OglH4c98b37onpfw4naja/M33r8Cl6y2SPKU7fqF+00AdZuiHCSIKsas9/TVpCAqqQOTQHURQOcxDcu0A6WRAWMyJQKhBET7d2W+ejWkPja5zNNysLFgV9wBpQUzZdaOEj07EBsbQmD2SoASYJnL7udT0JQ+s8yfVQyaqopTUgw7xdICDigt3Y3hgNIi2rpvB/CjlLIseaQL7wWWv7+IB67crh1QWrnX3jnzybeAA0on/xpMiRE4oLQ0l6kSQCllzk4pP1PwU+8iHxNzZz1OxgFVISip5zQgSoll6gLWLoJr/7MXv31pN/b3j6G1xo9Ljp6DD+ULlUpzO0yLo1Q0KN33HwWGalB0YE/6NSW4yKCoCkdblud13env6efPbMebe/tR5XPjlCUteO9hxmyUeXVo1XigXYGoTIFKAFVVolqdj7b/NHXln7KgdPhAKpGSPsv8SJZ4t3Rv6uOHanDUE5zwLZWrAweU5rJQYbaTGoRsXVVVlbtDCq3A1KZPKTVBdX2pbjW66dOyU5gFHFBauhvBAaVFtPUzdwBPfT39APULgIPPAuh7nyZ6mUY1fQZYvYAp4hCnW9cOKJ1uV9Q5n6lkAQeUTqWrNYljdUBpaYw/HUBpEngyd3hdjFB1eWDMRnZtv5u5DafAJylCfWhjsUIVdehEVf7Ow3Rp7umKAaXkyspc6FWlKM1Tlm59oViNeihKcNRfV5ALQQHgKRaR213CxGHMlV8FqBXiyl/2oLR/p6II1cNQih8ayRCbmWJOWsFQcqHnhILcm+PpxAGl47Fa/vvkBUrN3Q/tN7rpm6F70yEpN31KDuXy5T/AabKHA0pLdyGdZ7sC2poS9NGLke3qFM4QoifbIfXg1DxfPUOBqRTixymWFnBAqXNjOBaYPAs4oHTybD+ljuyA0tJcrnIHpYO6BEn71AzeeiUozZtSQaQZzsVzBuUng6Eq/CQYSsulyK7tPEyX5p6etqB07ytGKDrYnm5QSlyTdKM/CmhZVjSjTwoozXY29IMqCU918VBp3RR25S8LUCqJFsmUVJf5bLbVEinpwWhdeSbrckBp0T4qDB1PCJSah9j1lhGcJiLGFhTTlIApuevPOaY0J1gmR3FAaekuhPNsNwFbx8M6MPqk4kGiLwQ26aWwuRz9SSUJ5NA+ZRpUa5o3xzlO25lLKVDNIDU0A6hqVWCqUMKXwBMwYaF3dUBpoS3q9OdYwL4FHFBq31YV3dIBpaW5/JMJSg0JkszJkdTl0agpnqKFWRqqPEnwyRSgKvzUgGhzyFsaY+Y4ivMwXZrLMC1AKSmnSCmqT7okm14JUDIUBkWPUmOLrgYohmeJStmB0mznTS77mhs/c+VXValTwJW/pKA0NmIdP9T841Vv66oWXYZ5iiOqJleaYm7QDigtzQdHQUGpeciUKEpz09eSRmltSMmsQVMCp81LS3PCk3QUB5SWzvDOs12etm5/Gdj+pKIapXl98VYr4TQWqrGIycX+hTuB5/4HGOsFeBew6grg7O9mPuhoN0DKVHqOMkNUDaiaY7WbeyP3/dBMo1s/c/OfqUBUmgiousrj90WeVyBrcweUFtKaTl+OBfKzgANK87NXxbZ2QGkJLj09eLx+P+TRXnD0MHLMpwsaHL17JKq6wkfQobnEq8mRSAnaZSNBks8tKO7vevjJFKEpN3mvyyIhRAnMl+8hnIfpfC02vvZTEpSaoSg9zJsLqfIIjLJs9KuB5iXjM1CB9ppSoDTTOZMa0hAHVY2FSuvGMrj8kcteMomUmlCqcZGyLthUIOumuikKKB3tScUP1ZIpkfs8/ajMVOrmWbvMlxDOF9y4ug4dUFpM66b6Lioo1Z8CqUtZfFN1IvWpvlQ1p9z0CcwQAJlGxQGlpbuYzrNdDltTuBzNlZ5eZJCKVF/mHaf+LZ4MzFqVsbOhzl2oapwNXiiA2/xYD0AvSvVK1OT8fmW9OZSReWQEU7XYqFqsVD1I1WDqFEs06YDS0n12OEdyLJD2sSLLZlmMYyTHAukWcEBpke+KTX8B/nR5+kGuewOgH8Q5iiFBkg5+Mrd4dTmWyJ0gqZWAp84NXoGi2pQ5QVKu8ZXjdudhujRXpexBKSkdKOGSPumS2TSkqtC70BMY9YZKY0CbR5kWoDTbuVq58mtK1BK68k8IlFJ4BgKgehhK86TMsSr0w4+5yR+kg6Lq8jRUzuhN4IBSm3/4E2xWMlBqHifFM9WDU1Kb6Uvj4hSsIcVpCRKITdCUWXd3QGkxrWvs23m2M9mavjv1YJSeefSF1Nz0N8YU3ifbdnEfHBxEdXU1eL5E4gh6WcpgaiagSjA1R/AverFqlXBKc++vblGUqWX0eeOA0tJ9djhHcixgtoCjKHXuiZwWGIkm8MzbnRgcCWPJrEYcPqc25z5OgzwsEA9j7P7LENj1r/SdKO7Pmmuwn2thwDOpBB2IYH8yWVIE/WOxnAes9rnRZlaC0rIOjPITzZCUcxTl08B5mC7NtSgrUCpL6VDU/AOdzEJJSPRJl2i5zMu0B6XZ7K935WdxUYvkyv/ijyHuWQeOd4NfeAJwxEetR0Xw0wxDCZDGx6zb048yKxhKsKhCiwNKS3PhJw2Umk+P/l4YOH1KqWOmvxVSthHEIaBDircpVhxQWroL5jzbQfkbIjhKf08dbxiNT8pK+jtiLvUnAxSuZRyl5KDUzhjD/QpMHWjPDFRz9UPhBPSxUvWu/fp5b1Wungqy3QGlBTGj04ljgXFZwAGl4zJb5ey0af8gPvzLdegbTYG4Dx8zF1977/JpYwRJliFKFpMsI2G1Xltn2i+trWG7lDyGJCbQ2PMymnvXobV3HZoGN+a05YBchQ3yAmyQFiTrA3J9cj8hmSBJAZ8pJWjKJb4UCZJynkgZNXAepktzMSYVlJKCT5+JnhIwmYsvpLjP6xWjpCCdYqWiQWmma6W58ieTSqkAdTyu/OvuBt58yHikIy9XoI1eJUoZ5jOpWgINRmWoFj+0ZtYUu9uKP1wHlBbfxnSEsgGl5tNtX5dSnO5+3riVQAYDPSrsaS3/51EHlBb/fu791b0YePBBxLu64J7RivpLL0XdZZcV/8DlcIQDG1UwqsYa1Y+J4gHrFaMFChNUlqDUzrWIDKowlYCqOmlJqFgcVZO63apP3q26+VOM1BnGOKl6mErPlxMsDiidoAGn6O69vb3gOA719anf+lanQo7hjz32GI499ljU1JQuL8IUNWvew3ZAad4mq6wdvvjnDfjD+vRszt96/0rUV3lMgDEFAwk8JjIBSDug0ca+KTBpPC6Dnhb7G0CmaXuxr+rR/Fs4ht+Md/GbsJrfkna4XXIr5nEH0tY/Lq3CHK4Lh3B70rZFfU2INK2EMOsIVC1YDcw8vCgx+Yptm8nq3wGlpbF8yUApZQJnLvS6pEtW2VnJzYwlXFIvikwZAAAgAElEQVTji5Jr8zQoDijN8yKSG18yoZQKUDWgmsmV3+4hCHzqM8s3UlKlgwECpU6xZQEHlNoy04QblS0o1Z8ZZc3Wu+l3vmk8b/q7SirkTgJqZk/YLoXuwAGlhbaosb/RF17Anis/lnaQeb9/AP7DDy/uwSejd4J5lICJFKOkHDWHb0kqsE8G5h1blBFOWVBqxxrRoZQyVYOpVGtAdTj991pat4JbdfOfqah2MylT/Rm8NOn6PnMH5M43wXmqgeXnA2d8w87onTZT2AKPPvoo7rrrLsRiikDN7/fjuuuuw6mnnmp5VvQdfvbZZ+OHP/whli6d3kkRJ+OyOqB0Mqw+hY558d0v4aUdGeKnTaHzyDVUUmTS5FJrtswp6wSeh8ADLlZr60w1Z9z3oPhbWBp9A4dEXseSsf+kHb49sBS7qo/ErtCRaK85Cq+0D+HC/d/BJcKTrO0wArgr8V7MPe8WvP+IWfByCWD/a8C+V4H9ryq1VeZj+oE+8wgFmrYdrtQ+J1SC1fV3QGmuv4rCbC8aKKWHVj0U3Zf+d8bufT0UpXnKTj8NiwNKC3hRDa787wCUeGbXv9MPwAnAwWemxw8to/hmBbRKSbtyQGlpzD0lQKnZFJT8LAlOn1IyausLJcNMZuo+qSziSTugdOL3sxyNItHdrZt6kvOjr6xHfHe6oECorWXqUj4QABcIstowBU3Lye1qW3U7R/sXImnReM1AydA0V3qqKVSF+Z7XYozSS4MSeMVMa1Bq5zrFRtKVqZrbPwFVisOcq5DaV0s4pY+TSoko/3EzEB029vDurwDHfS5Xr872Ilqga9cO7Nn4OuKxKBra5uCgNYV7EfHUU0/hG9/4Bi677DK8//3vhyRJePDBB7F27Vp8/etfx+rVq9POzAGlRbzYABxQWlz7TvneP/W7V/HYmx1p57F6fj1q/O50uKiBRQ4MMBrAowVkdCVhpBE8GvfjddAy1S6tb4u+7LQpSFxOigG081lleufx9Os+4zBg/vHA/BOAeccDpqyLO7pH8b6fPI9IOIwabhTdcg2OmFOHh655V+Z7iL5ACZ4ycKrW9CVtLvSjgYCpNrUdAbgDU/7enOgJOKB0oha0t39BQKmUAMgVU590yeohtGWZ0YWe4j5WSHFAaZEv9HcWAaPdxoNQHNuP/bPIB67M7h1QWprrPiVBqdk09NJYrzg1wwV6ebxQddWff2JpDGs6igNKM5tdHBpSgWcPEj3dEJMwNAVCCZBSu8ksnM9nA7QaYSxnCWKD4DUA63ZnPiUWfkJVjO550diOVIgsZi/FGT0JqJ1bctNUPCi1Y/HYqJqAqt0CqrYDo10Ze/mPz4u7a2vwjseNoCTjtNExfLZhFXDZn+0c2WlTBAtsf+Vl/PU7XzP0vOyEU3HmpwsDry+55BIsWLAAt99+u+EYn//850G/We+99162/vnnn8cPfvADDAwMoLW1FQcOHEgqSrdv345vfetb2LVrF2pra3HVVVfhjDPOYPsReL3nnnvwyCOPMMXqYYcdhptuuom1c4q1BRxQ6twZWS3w6MYOXHP/q4Y2axY04MFPrKlsy5HCiKDormeBLY8ClCRGXwjYaFCUahtvdzsGw3hsYwc6B0axsLUWF60ah/sYud9oqlNNgWoFlMgNlIFTVX1K8+QmUkHFAaWludjjAqX9u4xQlO5lc/HXpWeir+AXAA4oLfL9vO4e4NEvpA5CcRIvug845D1FPnBldu+A0tJc92kBSs2mIu8CDZzSc5qhcCloSpBpxqElMXQlgtJEjx506uZ7jKpQORKxdQ04jweupiY2SQ01GAxyOOCPYpd7EIN7tuO9z0bT+rnzPB7tjRwCcR4tfA2aUY0GOYg6OYAa0YOQ6EYw7oI/DnhjMoRIHNLYmDqNQhrV5seIMtgaZz6NOLcbfFCFq14XeD4GXhoFl+gDzyfAu2TwLgm8WwbfPB/8zEPAz14Jvm1JOrQlxWwwAM7rzWcIebcNv/46+u9/AOHdu+BpbETNOecidPZZeffj7KBaIB42QtTBPZD3vYpTxO3oMamYv8A14KMfedoxXYEs8OLaB/Lqacvzz6Bv/760fY44+73wBoK2+1p45Gq0LFhkaJ9IJHDWWWfhlltuwcknn2zY9r//+78MhD7++OPYu3cvrrzyShx11FG44IIL0NHRwbbRtHDhQnzgAx/A3Llz8eEPfxjr1q3D3/72NwZVly1bhj/84Q8Mtl5xxRUMsP785z9HU1MT29cp1hZwQKlzZ+S0wDNbu/HE5gMYHItiSVsdrjxuPjzki15JpXd7Coy+9b+AOYZdwyIlRhapRuedAASyB1/OZDp620OBuwsakJliGSWVp6rrfnggfQiUEEEPTgmeTuPigNISXNz2dQh3bIG3phk8uShbFfpbIqWoPunSiMVb9pblxkz09DfnlKQFHFBagpthYDeiu18BL7jhnv8uINhYgoNW5iEcUFqa6z4tQanedPQSW++m37HBaNikMk9VnNbNK4rhpwsolWMxg/oz5QpvVH/S+oxJ7UwW5quqkgBUA6FK3cjWh2t82Cp0Y1N0Nzb1bsLm3s3oGE33dLv4WQlnviIhEAVG/MAjR/F4+cw5SEgJdI11QTILGiyutM/lQ7O/GU2BJjQHmtHkV2ta5mrRyAUZaPVERR1QHTMAVWlsNLVNB1ppvUwQVrdOTiQKfr9RiAAl1IAaVoCpV01hB9KUrqlQA8n9TGEKaKBifz+2vfs0SKOjhnHP+eUvEDy2cC7IBTdKGXbYF+lDT7gnOfWGe5Pzuwa3Y3Pf22mjPs43Az/9oIXXYhme31QY0u9uvh6dO7aVfKiXffMHaaC0s7OTudx/97vfxaGHGl/gvfDCC7jtttvw5z//GQ888AAefvhhEDylZE961/u+vj7893//N37zm99g5syZ7LwInBJUvfHGGxk8JZj6la98hW0j8Pqd73wHf/rTnxxVaYa7wAGlqmEoaxjdpI2NjXC5XGnmInhFN2Ou7GMl/2sr0QHpTUc4HEZ19dTLBj0uEw20K2pRUiO89TBA7hP6UjsbWHCKoholOEqBugtQigJKrcbVvzPlrq8pT+Nj6S0JnGqxTgmcEqyaJsUBpUW+kA99Atjwh9RBGhcDH30YoFhbeii6//X0gdCLhmQmejXpkilcRZFHP+W6d0BpaS7Z2NgYBEGAt8iqndKcTfkexQGlpbk20x6Ums0Y7jO66ffvNrYgUMoSQ9F0MpAp0Uqel6fcQak0MpIx/qc+Lqg4OGj7zIX6+qwAVIOivN+f7HMoNsRA6KYeBYgSGN03kq7g8gpeLGtchmUNy7C0YSlag634f0//PxB8IlA65gVmBGdg7XlrEfIomccJSnWPdaMr3MXAKZsf6zIs0/52SrWnOh2k6gCrBlld5HmgLzufUWKN0tTxOmSRg5RQJ18rpOYjITUsg1RzMCTRlVK2jo0pkNUEWhX1q1H5SjC74IXjFPgqCJYhELwLFsC/6kjwPj84v4/VvN8HFq7Aap3fr26j7Uo7UtdO5TISH7GEnnTfaRC0N9LL7lGC9+Mpa2aswT2n3zOeXZ19LCxAilJZtm+aLS88g34LRemR78lPUbrgiMyK0ptvvhmnnHKKYVCaovSf//wn/uu//ou5zd9xxx2sjR6Ubt68mSlGybVeK1/+8pdBvw++//3v4z3veQ9To5ISlcr+/fvx0Y9+FHfeeScOOeQQ+4aooJYVAUopVsMTTzxhuKxtbW349a9/zdY9/fTTLJ4DPchQoXgOH/zgB9k8/Sj64he/iC1blEzlJFWmm42kypVUpj0oJfd0Lcbo5r8BEdPDYFUzsOjdqjv9CUBNW1Euf8lAqdXou99OJYrSFKiUSVxfKPC4PtYpzU/ROJAOKC3KLax0SgrRX7w7/QDkGm8F5FtXGpMuNSws4uCmZ9cOKC3NdXVAaWns7IDS0ti54kCp2ax9O43gNGLytiHXfA2aUixIcOO6MJMFShO9vUh090A0uLsrru9xivupxgOVwjbd3wUhCT8F1Q3erao/tWUNgOZKfkRgyQxF24fb0+zr5t0KEG1cymqaFtamPyPsH92Px3Y8hr0DezGnbg7OWXgOU4TmUzT1KcHUJEglmEpgNayC1bEujMZN4okMB6n31KCZc6E5FkHTUBeaxQSaEiKaRRFNcKF51jFoXPhugBIxFehZWo7rwwcY4aqsV7taQlcL8ErtbIZHyMfW5rYsDAEBU7/fVKvgVbdNgbAajNVD2RR41QCsueYsxFBW446JMRDYzKT61KBnX7gPdC/nU2q9tajz1aHOW4daX21a7eW9uOHZGxCMAK39MiJuYF8jh6tWXIXrjrgun0M5bQtoAcsYpSeeijOvKVyM0nnz5rGETvpCWe/p2ZPiixK7Im6lMSw9KKVYpd/85jcNCtHLL78cixYtYoCV2NaqVatwww03sO41per999+P5ubmAlpq+nRVEaCUbpp9+/bhC19IxRfz+XwMepJK8vzzz8fFF1/MJM9PPvkkkyH/6le/wuzZs5NBbymOQyAQwLXXXsvWf+1rxmC+0+eWsD6TaQdKw/0pMLrpr8BYj/HEfTXA4jNSCZiK5I5ltvakglKrS39gQ0p5SrFPadlcKMOzOd5p/fyy/5NwQOkELhEly6CQDpTZk9XqNKyuoxij0QwPjoHG9Ez0Lt8EBuPsShZwQGlp7gMHlBbXzpTZ+sDtX8fIc89BFkUEVx2J5i98AW7Vjay4R6+83iselJovOXk46F31zdvJi0hLoEMeNzbL6KuvYrS7GzWLF4PUdxMp5K5tzP6uxfy0cH+3GVeTVJ1Gt3clFqjm/q5tI5XoeEo4EU66zWtq0V1Du9K6EjiBKUT1atGD6vJLyliKZzsCpXp1alKhOrQHXQM7lG1SFHEbXJ3neEt1KlOl6kIA1HhrxmP6guxDn8WkaB19eR32fuYzaX3WnHsO/KtWQQ5HIEXCam2clyNhEJAn6CqHw0odiUAKh1lNxyhJ8Xkhe90QPS7EPTxibg5RFxB2SRgTEhgR4hjmY2xdjCY3lHm3shx1c2nr4fMiGKxDsLqeTVVV9agN1IMB0QwwlMvx0uWZb16H5t+k3Ow759fg6N/8Bf7mGSUxk3MQawt0796J3RtfRyIaRcOsOVh8dJaky3kaUct6/6EPfQgXXnghyNuZXO0feuihZNb7t956C5/97Gdx/fXXY/Xq1cwN//e//z2LM0pcixJCnXbaafj4xz+O9evXMyGgFveUlKOkSiWGRW0paVRvby8IlJIbv1PSLVAxoJSy89HNYi7aTUkyZY/HwzaTJPl973sfi+VAN9xJJ52ET3ziE2zbY489xhSlFNehkm6qKQ9KyXWeKUafATb9BRg+YLwVCNQcdAaw4EQlxii5CU9CKTtQarYBKUz3U5zT19SkUa8B3Yra2lDIXc0c77Rm1iRYNPMhS/EwXVYnbHcwlBAsDX6aoKg5q7DdvldeBLzfcRuya6582jmgNB9rjb+tA0rHbzs7e+6/5UsYfOghQ9PgmjWY82sl26tTCmsBB5TmsGcSmj6tPPfoizekqE1JaUrwtD4dgJKrevtVH0d448bknnWXfAitX/5y2oEp7mO2mJ/aNnHAIsZ8htMQampsAVCKE1qoEhWjSbd5TTG6Y3CHZfdMIdqouM/T/CH1E3f/LOmzHcVYZ670TyoZ6skzS1f6mxaja/YqdLUcjO6aGeiKDqSpU0mxaKdQuIEkPPU3p+YDzYa4qn5XKpSBnX7zbXPga7ej//77k7sFjz8ec+65O99u0tozJawGUVV4ShCV4GoKsipQVVsXGR1CeGQAkZFBRMeGkRgbQSI8xtogEgUXjUOIJeCKiXDHZXjjEx6mrQ5ItcrCDqhhCJQQBGoogmRIAi00QXpNtuj8ZjqzqP/oR9By8822xuA0mpoWePTRR3HXXXcx93oqxKYo6/2pp57KlgmeUrzR119XwpYdfPDBePvtt/GjH/0IS5YsSfOSPuecc0CKVCr0/ErQdNOmTWw5FArh29/+NlOcOsXaAhUDSl988UUsX76cBaulbGIU2JYKZQD74x//yALkaoVUo5QxjBSoZ555JqP2VFOhm4uW165dW9iEO2V+h045UCrGFTBKD7mbHgIG9xotzPHAQaercUaPB5qXlsUVKHtQamUlcqUmtWkyYdRrAMVANZdgszHeKYFUCmkwSaWkD9OTdI5ph6UXBGb1px6K0jzFEM1V6MVCaKZpagOqdevue286RKcYpaTIcUrBLeCA0oKb1LJDB5QWzs4EkeL79iG+bz/i+6neh/4H/wCrGHv+5cvB19RAqK4GX12dqkOmZdP2wo12evbkgNI8riuFZNKD0z4T/KuZnYKmC06CJPvQfeeP0aeG+dIfKfSes1kW9URXKgM8QSG7xY76k9pQpvhiFnJV1xIsUU1q0W0D1slRltQvMbjPExwtRin6sx2FFiI4SmB09wvGUyCPGQ2ckzt9KHeYLkoyZXbtt4qlSvFb7RSKn2pIQmUCqRnjp9rpXG2z551XsXfL62hom4uDj1AATiEKubtrru561/bkfKSPxfikmJ9248lq4wq6g6j31aPZVY9mIYRGLoQGrgq1sg81sh/VkodNAVFAICHAHZOYOpZBWaaANULbrArZeHGIbGDN0Zhr8XlSCNs7fZSXBbq7u8HzPBoaGiwH1tPTA7fbbcmiiCVQ/FHa16+LAa11ROLBSCSClpbC5FcpL8sVdjQVAUr//ve/Y+fOnSB3ewp0SxPR+bPOOou51pOqlKTNWqHYDcFgkGUYO/3005OSZdq+bds2fOpTn0pmFKOHzEooFF+J3m5Y/cGVy/lzu58Dv+NpcG/9FRy5/pqKPP8kSAtPgTz3eMitK8pl2IZx0Jsi+iFO99+ULuF+cB2vq9Nr4Pa/Do7css3XJNQGecZhhgn+upKcOoGlqgKqKEoy6EwHkUTFvsMd4Ah2Du8HN9zBoKhhvY2sr/DVQK6ewaCnHFLr6hmQGQRVazvXaKQLwqu/gti9DXywAfKScyHPPW5SzTSdD04PPfTQRImGnFI8C1DsTHp4JVs7JbsFCIQm9u9nIJRqNs9qBY5SApmiFkpAkoSqVeCrFKiqTFUKbGXrqpLrNRDL2lRVTfkEI7nsS8929BxLz8dOgZIsZ2SEZfWmSVZraURZViZlu9zfBam7HVJ/J+ShAYgEVuIcpDjPEvTkWwhquhobwWJ9anVTIwRKMtvUZKjz7bsQ7QnovdX3Fjb3bU7WW/u3Wna9uHYxU4kurV8KBkjrl4JczEtRCv1sx/XvBEe/LXY+DX7n08bkrhwPef6JkOafCPqNIRcx4WkkEVHipFL81HA3c+9ntTppsJUUvXYKxchspgRU/iZlCqi1tuxvQqO/Ma2rb6z/Bta+sza5fk3rGtx1yl3I5EpuhpwEOPuifeiP9DPYmZyifaBztFsoURa5tRP81CZtmbm7e2uVyafUNZ7Shi6gF3760AJJZaw+9IBOLcvAK9sWQbxjP8ae/XeaKYInnogZP77TrommZDvn2WpKXrZpO+iKAKXmq3fTTTeBaPpPf/pTW4rSz33uczjjjDNYN2ZFKX0hV0IhgEcP1C6bQbBLYRNh33oIu56B6+2/g+/bnnZIcdYaiAtOgTj7XRBnHF6KIU34GOVo5wmflNoBN9oF4cAb4A+8kay5cG9a91LtXEgth0JsXQmp9VA2L1Mc1AIX+nE4Jb6QExHwBEBHOhj8TM0fAK+uI9vaKXKwCXLVDEhVrQyG0pScr1KWZUq4VMCSiEQgeL0VFaqkgOaz3RWp/gng0eSU4lmAvgcp7I5jZ0BiILQDYsd+JDo61PkONk/rCC5lK5zXC9eMGRBmzlTrGQj/81+IqckztX1dc+ei4fbbIY0MQx4eYTWDWcMjkGleW8eWab22fZj81CZ0MzCXSQ2aVhFQVYErQVRtXldzrI0CWammxCTlXEh5QlM5Pdvlay8tG7gGNeXRMQVojqVAp7aOJbMZHUsCULYPZRRXIWi+x87WnnfJgAxIYjo0DR1WC9+yRXA11INvaIDQ3AK+rgmytxqypwpgdTVbBiXRnISypX8LtgxsAav7t+DtAaNbuTakBaEFOKTuEDYtqV3C6rRs7yUc/0Sf7bjoEIRdz0LYrUz8oDHBlNSyEom5x0OcdwLEOeX38peUpz2RHgZQM9bhHsh0c+Yo9F3X5FOAKdUUVvOZfc+k7XVMyzGYVTVLAaDR/uQ0ELUfJoI6JTVsvbeeAdC0yVeHWk8KehL8pJi207V0XHAhErt3G06v7uabUKVmLJ+u5z1tBCzT9QJV2HlVJCj9n//5H2zYsAH33nsvU5NSdjGKCaFBE4pPSnFKtRil5KpPQXGpODFKqyfvT4Rcu9/5pxJjtGtz+jjaVinu9PNPBOasmbxxTuDIU9L1fgLni4E96TFPreJfUjZQljBKndqOmPCPh6K7Z9mxS3TIGA/UnByJ1KHhvtw90cOiwRWelKBt6e7xvCt3XwVqMfDQX9B7992I7doFIRRCzfnno+XmmwrUu9ON2QKO631p7olKcr0X+/sNbvGkAo0xV/l9TBmaSxFKMdncbW26aaZh2WXhUhbdtg0dX/ovhN94g11QSnzTcuutCB4zvu90GqNI4HR4WKmH1JotD2VYT+2HIA4NW4YByOdOo8zfSVVrWpiAUIYQAiEIurYo0suP0edfwNC/n0ViZBRVS5eCYmeWqkhj4aQyU1Nwiky1SSA8pdo0rhtNqj1FnepzojBcf86U1IgPBpWJYHdyPgghSJBc3abOC2x7+nraj2t/ASN3XYf2h40u9e6giIXndMJ27gwCpQRMKSaqT63Zsn4+pCz71Jramtu4vBkv75a+Lcm4ouQ+T270VmVBzYK0ZEsUO7Ocyrie7Xb+W3Glp1ij5li0tXPUBF4nKzFp7XjUlJNBMozFyr2fqVUpEdVYF5vyBZ3mQ9G9kVR8+lPKzwZfg0EJqmV+9zmJPZMmjG7fgd5f/ALhLVvY90TotNNQ/+HLpsCd5QzRscD0sUBFgFJKvnTeeedh3rx5oGxh5FpPMPTqq69mbs7vfe97Wcb7Sy+9NC3r/d13380gKtWU9f4zn/mMk/W+VPd/5ybgnceBNx+yzrZO7vOUmZ7iAc07vlSjKupxKg6UWlmz551UvFMtaRQFzDeXlmUqOD0iBVBt//IAxvUwnc/VTyZFMmWG17LFk6t8pszw+uOQwpNc4AmE6mOAamCU1lW35jOyorcliLLtlPS4Va1fuQ11F19c9ONX4gEcUFqaqz6dQKkCQvep8JNc5AmAqjFD9+1jqrxshaCSu02FnzPTgagVCLV7lcY6DkCMx1A9Z47dXYrSTo5GU6B1SAOu2QCrCmA1IJvDhnYGTdBNHxKAzYeUOK1CdcgAYg0xXEMKiCXlrrkMPvww9t9wo2F19btPxawf/zjjkFhiFVJeapByZBSiCWxqkFMBnPq2iru61r5s4WahQ5c88TUM//7HGGr3Q4zx8FQlUH/QKDynf1IBbvRimF6YUh3RzevXSwk7t0nuNipwfSdQjU0+Hza5BWzmEtgkRyBaqAvn+hqxLDQfy+oOwlJKutR8OPzBJiALcM09iOK3sPVsR78vGBhVY41SolKtkKKX4otSgi76fVG/sPiDLtMjUMxQPTx9du+z+Pv2v6eN9rDmw3DewvOS8JNAKLn2k0LUKROzwPDwMAt7N5VV/xOzgLO3Y4HJs0BFgFICoF1dKdfU1atX49Zbb03GZHriiSfwrW+lsstdccUVLNs9FfrxSdnF3nnnHbbc3NwMUqRSXUmlJMmcCJBt/YeSfImSA5kLqQopM/3CU4H5xwMlVMeV6lo7oDSDpTvfVOBpMmmUKfusttvMwwBKEqUpT61i0Y52Axv+gEj3Lvga5wDLP6CAyHyKGv/TkB2e1KAEP7XkSAkbcaL8tZnhpwZCp5h6Ibp9OwZ+/3v0/S6VFVUzraulBVUnngBXU7OSibe5CW5WK8vFUk7lc2mnalsHlJbmyk0lUCr29TFFKFOB6gCokkBpH3M5zlYUEGqtCPW0tUGory+a0SkWLIU5oBfUU7pIkk7JqgOspGhNgtcUgNXWJRWww8OQRR3EGYcxOIpdzOBqSsEa3boViZ70bNuUwZqSDKXidCoKT5GArySN4+jWuxRUuVlouFmws4TyPHDfeQA932rl0A8B5//M/lEoYSYDpyaQGlEBq3m9Bl6jw9ieGMJmKYxNvIhNHhc2eTyIW7xQnh1PYFkshqXRGJbRFIshmOl6l0Dhat84upYdb7Bnu1hfOzwN84DDLgGalygNKJGlBkYJjprDFc09VoWjJwGzlGS/Tkm3wGB0EGc9dBaGY8OGjfecfg/WzBif6t+xc3YLOKDUuUMcC0yeBSoClLLvyOFh9PX1McBplZBIyxBGGcCs4hZSTFNKZtREP+YrsBQFlPbvBt5+VHGlb3853aq1cxUwuvg0JVN2BbhkOKDU5h8XxZ3b/6qqPH1Nme+0CMdAMJ3c9DVw2rgY+NMVYC7/WqlqAa7+N0A1KTcMWeBVNagegNJ2O0mRqD+9O7yVGrTA8UBtWq9gzRKdnQhv2Ijwxo2IbNzA5nOp0LIdnBJYEDzVg1Q2z9ap65ubQO6sTjFawAGlpbkjygmUJhgIVV3hKXO8zi3eFggNBFQQqnOJn9kGgqCkFC0mCM11taYNKM11oja2U0xNQ5iANMg6ZKF6VeHr0BBIFVuIUjFwsxDGMvUhvf1/iA52wT/zkKKBuJ2DO1Pu82oGeqvEPm2BZiytnotlgZlY5m3EUncNQol4bmWrBmTFAiWxLSRw7d0O/GQNoPc+8gSUF+H0+6J7i/GKEEAlxSi50pN6dJLiwBbhVit6l2/2vIkHtzyIXQO70BhsxHsWvAenzT2t6Met1AM4oLRSr7xz3uVggYoBpeVg7Kk8hoKAUlLhbXlEUe0S3jkAACAASURBVIzuej7dHOQ+TK70BEcJjFJ8pQorDiidwAWnbJlm1WnvNnsd1sxSHrBHbCRFIviqd3tn8xau8dNM8UwKIwZEVTBK8wRKzYXUod6DDsLoc8+lbav/8IfhW7YUia4uJLq6Ee9Warbc3W07HiC59KYD1RRIVdSqzeDKKPmcvRtx/K0cUDp+2+WzZylBaaK3V4Wf6W7xDISGjbEPzefBJ0FoShXq0VzlSRFaV5fPqZe0rQNKC2duyr5sjtPa/aMfJePA6o8042tfhXvGzLRYnCzmpvOCatwXhdTRo6OjCIVC4+5Dv+OeoT0sjqg2be7ZjLFEukK8NdiKZeQ237AMSxuXspqS4Eyo0LMWqVZZqIAM4QKs1pvbW4VUGs/ACHLS8xYpbzMVenGtudJTXWbhisZz2pO9DwmIqkmpXqQYypN9fuVyfAeUlsuVcMZRiRZwQGklXvVxnPO4QCnFaHzrYUUxuuPp9KOSSzFTjKpxRv3Fc+MbxylPyi7t7e1M+TxjxoyKC+9QFINHBo2q0x3PALQuU/EEgWoVeqbBUAKiMxXl6XQvsqyqRDcylWhk40ZEd+xIO2sCMf6VK+FbuYLV/hUrQO71VAb/8hf0sGROu9VkTu9Dy03ZkzmJlEVbhagJBlEnBlRJEZdy8U+5+xtUqgRU3e4pf0UdUFqaS1hIUEquzxTPN5MqNCcIDQYNiZIUJWhqEmonCERKY1LLozigtLjGH3v5Zey56uOQ4yl1IL3IavnSLcU9cIX2PhFQund4LwOim3s3K2C0ZxNG4iNplmwONCtAtGEpljUqcJQS6ZRtYcB1fCEFUnFdh4wqUvPJLj4dOO2/gealZWuGqTowB5SW5so5oLQ0dnaO4ljAygIOKHXuC1sWSERGERnuRVVTlsQK9MCz+e+KYnTbv9L7JTdjAqMszugplQGcbFkXIBB93333Yc+elEv44YcfzhKNOaWAFnj9AeCvn0rv8MQbgDWfAShmaAUWiitKMFSvGLUyg2/5cvgJiq5Q4Kh3Ye4kB0P9/QhSbLwCqpHSgaqiSh2vQpWUdYprfypeqhI/Vef2T0DV4ynbu8MBpcW/NH2//jVGXnuNKZWr16xB7Qc+kPWgDIQyd3i9IlSXLCkSybo/Zd1myZKS7vAaBFVc5acyCM11tRxQmstCE9+e6OzC0AvPIzYygtCSpQisOnLinTo9WFqgY7gDXYNdWNy6GAFX5ri7HaMdDIQm1aI9mzAUG0rrs9HfqABRnVq0yV+ZocFA8eDX/xL4v5vTbX/hr4DlFzh3ZYEtsHHjRnR2dqK2thZLly6d+rGkC2yfQnbngNJCWnPq9kUvJp5//nmcddZZ4PJIXJzrjCORCPt9ZhV2Mte+lbDdAaWVcJUnco4UC3LtlQr8pFIzGzj1v4CVF4M9nGz+q6IYffux9KPwQsqVftFpQE3bREYybfaVZZmBUW0ipcH69evZB6C5XHbZZVi0aNG0OfdJPxFZBO4+GaCg/1qhWFVXPQGQmrQCit24op558xgU9a1YqcDRlSuBcXw5Dw0NIUhZmwsISu1eJnFggLn0M/d+zc2/uwvxpLu/olgl11Q7RaityRw/tbk5mZjKKsu0nf4n0sYBpROxXu599998Mwb/8ldDw/rLL0fozDPVREk6IKpmks8VG5JAKKlAXW2puKAGRWhNTe6BTdMWvR1D7DuyZXYZK+Kmge3j8TgISldVVU2DsynPU7j2yWvxdHvKq+qaw67Bpw79FDrHOg1QlNzn+6P9aSdB2cOTQFRVi7YEKsCzJd/Lee9ZwO4XUnuRIOPDf8m3F6d9Dgvce++92L17d7IVfXZ87GMfQ10Zh3KZyhfVAaVT+erlN3ZKNP7SSy+l7fS9732Phbj43Oc+h3/84x/j/j319NNPg15yXHvttcljXH755ViyZAm++MUv5jfYCmntgNIKudDjPs0nv4ahZ3+G7ZiLGNxoQD8Wce2Zk9ksOjUFR+vmjfuwxdrRClLqoaXVPIHMbG3y3U7t8yn05sjn8xkmSkhmXkfLVuudt0QW1t64FuGuHfA3zQOWnw/wU9/12uqesh1XtLERvhWq+7wKRfnqwsQInkxQavfvLDdQVRSrtoFqKMRipGpu/5mSU1FylEKVga1b4QuF4GttLVSXU7MfytgdjbJrRaBSjsYgxahOrZN02+RYVGkfjYHmU+3V/WMxFgt06LHH0N14KIar54CTJdQMbkd9vylBiMli9DekJUYyZI+fqSZLqmAQmunm6t4zjCd+8xZ69ymuxdX1Ppx4ycGYu7xhat6PZT5qAqUUO5OUYU6ZmAVEWURMjIESKGk1Jb25b/N9aR1TnNCB6EDa+hpvTcp9ntSijcswIzhjYgOrpL13PoOB/TtR27YQmHd8JZ15XudKv0O03y763zDmdebljo4OrFu3Lu1YJ510EmhySuEt4IDSwtt0Ij3G948isq0fclyCuyUA//LGiXRn2JdAKf1muv766w3rZ86ciXfeeWfCoPR3v/sdnnjiCdDLDq3s2LGDKcJbK/23Q4ar6IDSgt3e07Oj9rsvwW/2L0ACruQJHobNeB/+T1med1wqzmjTwVmNkA+kzAQfrdbbXUewk9rSOCaz0Fshl8tlmEj6TrHvzIXa0bgnUqiPiYDW6Rqovb+/f3q9AbcZV5QjoK6Dor6VK+GeUbwfYlMBlNr9+0oBVSX5lKZUTSlU8wOqBNLcmrt/s+r6n3T3T7n9UyzYTIViwXZ+57sQ+/pYk+Axx6Dt+9+btEQ9GqBMwkgVSkpJEKkAS2s4mQKWqfYKsFRgpw5e6sGnHozqYi7ava522m1beD72zH63oelB29ZiUVWHIS4oc5VX44QKBUrcYmd8xWxDX5n0vSlLNKPOUy3JSG3T1qtt9NvMbekrmG1P3/+5P72Dzp1GV+PqBh/O/tRK8AKnTjyrBVrmaZ2yTBPHc8U0xbTpmxJH/uQXP0fPfkpgKMPj9+HC89+Pgw46aEqeI91LDFBKRlBpBpe0nFxno20SekoK/LTqT2tDoDSfUu2pTnOfn1U1K58unLY6C5BaiiAePUuTF8uaNWtw/PHlAUtzAUjt94md2k6bXPCzGL+DCLTQ1NLSkqwJwDhlYhZwQOnE7FfIvcObe9F732ZDl4EjWlB/UWG+NwmU0t/m7bffnjbsN9980wBKSQFK62KxGHvRSaruM888k+33wgsv4K677kJvby/7LDz99NNxxhln4NOf/jRr39zczNr98pe/xA9/+EMsXLgQF154ITv22rVr2USu/pQv5bOf/SwoFGClFgeUVuqVt3nef/nedXhjOD0z7rI2+oG/ME1pmQtw0sP5ZBczpNSWSXlp3kbuwpnaa+uztbHaZgUed+3ahV//+tcG09CHG31A0XEIpFpN4XA44zZqT9vzVbCar4/H47FUqmZSsOpVrV6vd7Ivd8bjT3VQajuu6JIlhoRL3sWLS3pNphMotWu4ggPVqipD/FQ3g6rNEOrr0HHrl9He3IyhmhCEhIiWzk7MO/VUNH322tzKSp2K0gAjmcpSg5LWKkvW3kKlycjZZBaOA4U+4D0eVlNcWctlrwecxwtOrXmqWXtlHa/bFuW8+PPjXsicYDgzjxzB8jMPTgE/FQ6SDWQpBQ4ZTDSBQwUUmqGjERyyfpKQUtdfsm9iXPpjaUDTeGzrY9mAn+q4J/Ny5ntsAqV6oEowldYxqKoDqkqbFGA1bxP023h9O3v9KMdT25rGZAa+lgBYPX6+52+3/Z0//xl6Ow4YmnOcgNtuu9VuF4Z2lgBRhYt6hWVG2JihrbavoX+LtglpYi+Ux3XSpp3I+8fLe+ERPPAKSk3xRYdjw2ndf3nNl/GBg7PHOC7EmCqlD1Jb3X///Wmne/HFF4PUWNngYiHAo1Uf+nXldh3od4X2+8RcZ9tGIX62bt1q+3RCoVASnGoQtbGxcAo82wOZwg0dUFq8izf0r1QICTtHGXuDwniF05pWHdcG3md8PszWn29JAzxt6eFuCJRu2bIFJ5xwgmH3D3zgA+jp6TGA0t/+9rdYvHgxGhoaQC+J/vjHP+JPf/oTE0ade+65OOecc/Ce97wHO3fuxMsvv4zPf/7z+P73v4833ngDN9xwA+t/1apVjDMsX74cV199Nf7+97/jzjvvxAUXXIBjjjmGAVf6G7700kvtmGdatnFA6bS8rIU7qV//8Hbs6i/cA6iVmjIbqMwFKa22ZwOX5ayOpIcPih1CX4pNTU3sA4zezE60kGudBlmzgdVM2yby5lkfNiCfcAFaW7q+hS4EjsnO3d3doAc2+oIo9/AEtuOKzp4NUohqMUXJnZ4Sz0xGIRct+nLu6upibzTJzoceeuhkDKVsj2kAqro4qnGmVtVUq9ld/l8++mjsmm8Mc3L8s//GzP37J+W8s0JKHZzUg0gzmGR9ZASZZvCpgk0Nio4j4VZ0LIHh3jCGeiMY6gljqCeiW44gEctPKTYphi/mQTkKT8yxEMWs5nXLPK1XttF/hm2GZdoZDFpa9sPacujaPQRJTIft9W1BBp8lUWLbU5NxeSLfV8U0Yb59y5wEmRPBCTI4F8AJEpvAywCt42lembS21F6Csp+EBCSIkEHzIiRZqWVZYvMJkeIyp9tZDnCQq0SILhEJIYG4EEdMiCHGxxDmwojwEYzRP24MESmSVFnme37FaK/BSa1mwNIELvUQ09CeT8FNqzZWfRmOI3jhtgjh89jOx3DjszcaTrfKXYXHL3wcpCh1SnYL0PMaKUTp+ZRq/bx+3YEDB5jLarkWPXzMBiIzwUv975p8wGamY03ETnfffTf2654vSExxxRVXgH5rUIInuhY00byVRxyNSa86JYBKz+KO+tT6qjigdCJ3a/Z9O+98DXE1zE/xjpLec/O1h2cEpfT7dNmyZYadPvnJT7LPN32MUhKevfXWW2yi37MPPfQQA6Hz58/H+eefz2DnRz7yEcPflZXr/Wc+85kkKKV4pfT3+K1vfauU5ijrYzmgtKwvz+QPjt5ObNq0KW0gJ554Iurr6w1qSytFpvlLevLPqLxHQB989KVYU0ax6yjRgxVEtaNmJYn/RIo+bEA+oFVTu5ozA9JDNz3k0QOcVuht3Cc+8QmUi/rVblxRytROCZb0CZfKJQs2PTCTOwepD/TloosuwsEHKyE6FLdbZdIvF2JbIfoY77iKcWyKkSkOj0AcGYY4MgpplOZHMTYwgI2h9B/btYODWHKgkylGBJ6H2yWo6hE3XG4X3C43BLcLLrcHbq8Hbo8XLq8Xgm2Q6QGvU2uSapMtl6mCnEAnwc+h3jCGWa0CUXU5Gs7+MtDjcyEeTaSJZQM1Hhx68mwGBxkkzAoKNZCoA4UZwKHSlwkq6paN2zO3ZWAyx7jS4KXFOVCbUpWn79+C9a++jLhnAOBkuGIhLJl7BM699jBbQyDlLkFUkcFUPUTVzbM26cBV2cd6v0Q8gTibYuzHf5wSMtJyIoZYIqbWcSTEOBKJOPPkEKWEOomQJIKVCqQkWEkAU6l1E0ceNwr4nAolzscRFaIMohJUTbgSkFwSJLcE2S2Dc3PgPBwErwDBI8Dlc8Hj8hgUl2bYqAeSGaGm4IFHBza1PsrVZr/f8ns8uuNRDEQGML92Pj6y9CNY1bqqXIdbtHHR82A22KmBTz0AnegzpOYRNR4AmWufbPDSvK1oRp2Ejumz7bXXXktmvSeokynGMbn+6sFpNqBNyaD0AJUEI476FOw3If3+KYZwZBJun7I65NC/9li+MMw0yFIoSu243tNnJCVkIkEKCVAIbj766KP47ne/y5YJiP7mN79hp9HW1oZrrrkGq1evZuvNMUr1oJRc96+66irmhu8UxQIOKHXuhKwWIJXjAw88YGhDUu9KlmEX85YpR1A6kfOl8zGHDMgEWK3WTzQ+K8FPfXxWgr70oGYuixYtYrFYskGubOBs3HBMlpEYGoI4OAhxaBji8BDEsOLWITOCodbk+lldBS4YBB8MsprgVC7QOO5x6UDmeGxC1326KLsmcv9PtX0JqmVT8U80FImd0CbjUf0T3EpBUEURSjB0mNShvRGEh7O/sBHcPEINPoQa/aB4mKEGP0KNPlSrtS/oxrqHd+DpZ55Bwq240XpitTj7/Hdj6XEzp9plLuvx3vG7OzC2zRSvu4nHVz79ZcO46cd6LB7DWHQsOYWjYURiEYRjYURjUWWKR1lMLmpLL3Bo0idnlBISxISogNOEBJnUrBTaQJTBSRw4kWN1qYvIiWATTzXpREVIVHOyUtM/mqdvCgbDeXD0PcEL4DkBAke1Cy7eBYFzQ6B5tXZzHsT3xCG6lbjGWuElN0LDSyDJCchcAhIfh8zHIfEJpdbWCQlIXDyvH5jaMeiFOinH6Id/tlq/jb7Dp3qh+5WSZpEb43QomZSdVrBTWzeeMFD0nWHnfunr62PZoM3lyiuvxJw5c6aDycvuHCiGYXV1NcvGnU+h3wQEeMzqU6tnRgLd+rinGjytJPWpA0rzubuK27ZcYpQ++eSTuOOOO1gsUU1YddpppyVBKVmB/s7IjZ9c9Kl++OGHGc/517/+ZQj1pwelH/zgB3HYYYfh5ptvLq4hp1DvDiidQhdrsoba3t7OYtLQQx7F+iGXcKcUxwLTDZRO1Er0gzZX2IBsalcH1k30ChR2f/pBrz1UJ5VuzGdXp3wzLdvdZredpjLWjl+I/QrRh91xgUBOQgZECeGBMby6c2PaRQq5gli44qBkVls9GMo0r2XBLewVz783c3gWDc7yEACZgyxxkEUOUhwg7+FEVIYYpWCaPDjw4GRemadaXab1wWofAtU+VNX6UU1TXQChhgBqGoKorlPUGtpkVqLTWdADKQXO15djjz0W9HBayEKfWdqLBnNttS3f9lqf+e6XT3tREhEX44YpISZAcSRZrc5TO3bfyaS+VOalXgk8u3bGEvVEwUu8MrHrW1p4mQSXSXipgEyJXN/JHV653UC3KUdxUbX4pC4evEtJ4Ej3suZ5QzVNBAK8bm+y9nl8oMlSaUlxLy1cxHkmac6v/OvZl/HKI68h6u1hrvruRDW8NfX4wo2XsxcL7GUDe9GgvnhQQ1LQOq3IvAJMFaCqgdUE3FUyBB8pSgmwJiCCVLcEriPjSk5Jf48ERuyCVQ3C5gtw8rNgfq3LFZTadW03A9D8zl5pTS+uc11HM0Cnvw+75bnnnsMrr7zCFHgEpI8++miW0MkpxbHAeEFpptFQmCaz+pR+d1oVUppq6lNKTEOeYdNVfeqA0uLcv+PttRRZ76+77jrD8Ii9bNu2Lel6T2HNbrvtNhZPlF4kPPLIIwx+kqKUXib87W9/A0FPUmkTHCVYSqB0w4YN+NKXvsSUpfT9SNtJmarFKP3xj3+Mxx57DDfeeCPo+ZaS45FnICWDqtTigNJKvfJ5njf9uKYHJXp76JTiWcABpYW1LSmJ9CCVwkjQB7+5UKbf2bNnJ91UaftEQZo0NIR4ezvi7XsRb9+D+O49kKMRFhaOY6mjldpV3wDPvLnwzp0H73ya5oNzu3OORT9Gu5BtvO3y3Y+UAhTiwFxOOeWUtCDlhb3iU6c3OSZCGktACicgjcWVearZcuZ1TPGmK0+7N2GbYFRJnxZbiXl8C1wNPrga/HA1+lPzDX4IddZJ1giG5YKqmRL26fez00Zrr7Ult2YxkWDuyZNdrGAtJX8zFwpr0DpjRhrYzAcq6ts6L3bsX3lSVWqgkuYJVrJJUKClBiv1wJLBSgpD4RJY+AkWhoJgJYWgcLvh9XgZtGSgkmqvDwFPgNU+l4+5jBvcwXkvBN5+Agf7Z1ealjt27MNL6zciGo5j7oJWnHLCUbYOnIrlq4ayUJXbBFHHhrKrt10+INAgwF/LwVPFQQhI4L0SQG77iDOYao5JSZ4g4yl2wJwZvuYD5vIZ0+7du1kWYfrBWyygUyrXdjvg2gw8yc6lAtdTPVFnPvfVZLYtNCi1Ohf6LCD1qR6gElC1KnTPaepTgqgaPJ3q6lMHlE7mXV7aY1Myp5deeintoN/73vfYi9brr7+eKefps5TilWqhEQ855BCmGqV25B1JiZm0mM0ETim83EknncSe7wmMEnSlQsmbCIoSKKU4qPR7+fbbb0/+TqZjUuKnU089tbSGKKOjOaC0jC5GOQ/FAaWluToOKC2unemHxM9+9jOQm5ZWyG2BvkQo4dB4i+24ojU18K1cAf+KVMIlob5+vIct6/1++sefonNzKhasq9GFm66+adrFWZLjkjXgDGvwUwc9dVBUTowPCHJeAXzADT7gAu/hEd05hJ1CF/q5EbggoE2qR6NQAxpXxiJwCkDVQCqDqSpUrS+Om2t4JJ50hSegMkxxQlW1Gs2LSXvIanIaCSAAxmI2yvBV8QjUuOELueCrFuCtEuAJ8PAEBLh9nKJSTCRsqWhzgdzJBJb0AKxXW1OCo2SMUJYwSZlk5U0Lq7V/DBgyi5GjthoTU51nqk2aWHIfpR37x+l60ObVmu6fbNvN+2vjYaCZd8EluOAW3Mma5gk0slqNVamvvS4v3nphM/zRgOHWjfMxXHrlZfB7/Qh4A2zyuX2WyXPK+kOxDAdHoQgIRFZVpWfgHc9w9fGAk6pUTY3aG0Y8kj0xWqDag+pGJQyGFgKjqt6rqlSlZFKfbMl9tG3j+TsmmK5BvnwUrJlsRWMh9c6+ffuSTY466iiWjThbKZVrO70gsHO++jblGgqBvke2ru9Ef9cQ6ltCOHhNK4I11i8Fx3NvO/soFti1oQdvP74bsd4whKAbs49rw4qTZpXUPPQynhJK6d33yfvMqpDiVAOo9JJiqqlPHVBa0ltrSh2sp6eHQVPKGWMuBErpmdhqG73k0OI3W50w/VYeGBhgL/VK9YKrXA3vgNJyvTJlNi4HlBb/grza+Sr+sesf6B7pxvy6+bjwoAsxs8qJf1doy9PDFLkf0FtpetNGb9LygqSyjPDGjYhs3IjwBqWO7tiRNkxOEAxQlLLReyokVtaB0QM4be1p8Cf8CCQCoKQfQ54h3HbMbey+LsdC4DKXmlNRgBoBaFYgmeVEOQ8P3q8CTw18Uu13KRBUW8eWU+1IIacvW+9/AYGNRvjQ+LHl8M6vQaI3gkRvWJl6tPkIxH7rHxSsXw6WKlQGVRv9Gc8oFk4kkyQxCKqqzFg2+Z4I4tHsgMQbdJvihOpihpIi1p2/e/F47zMCqeGRERzYuQ2du3ay+s3eYcgut6FLPjIG34HdlJlMYZlqYjKlVlTjapRhy20EIWk/qhm6ZPEnlYk8y7VaWc8iD6htVIBpaGPVXulH3xf1SbEsBUFxBVdqgppuuEhlqdUuN9wENQloutSaXMRdqcnrJuWlj0FLD6v9bCK1ZjJepkCxMwX2sE2fiVRTHE1OUGtaFoRk+3u+92X0RL2QBZdia1lGMNqLG7714/FeTme/LBYoNCjNZWx6YcJelGRw7c8FNxWAqn42aECV6gY/AiGjmzZBylzZ0s0u5eONi66Hqvp5UsPt3LkzzSyUWIOgbKbkRrnsaLWdAKZd13ZtjARKp0MZHYjiD7evA91fWqmq8+HiW1fDG1A/S6bDiU7yOQz3RbDh9pcx15P6Pu5JyAhdeggWHN48qaMjN32Cp5oClSAqJZOyKvRiSHPd18PTclKf7n6zF+sf2YnevSNw+1xYvKoZx3/woEm1sXNwxwKVZgEHlFbaFR/n+TqgdJyGs7nbG91v4LJHLzO0bqtqw8PnP+yoZmzaMN9mfR0dqFcTOGXbN7p9uwJFCY5uUGqr4l28GP4VK5Jw1Ldsab5DKov2Y/ExjCXGkFab1oUT4fQ26r494R50jSnuUV7JgyivuGNSLD2KvUc1TUrCEeO8YR1LTJK5rVUfLrgQTPgQiPsQSHjhj3sRSPjgj3vgi3uStTfmhjfuhjfmYpMrMT4XWkmQIXpliD6qAdEHSGziIKs1/DxkHw+qOb8A+AUQKLU6f/055dpO0Omch87BrO4GzIm2IsrF8XpwC8484lxcfejVapZtiSkJlYzb6jyLBRmD1BeF3BeD3BcH+hPg+hPgB7IDzVgACHtkjHEyRiiJUkTG0DAwHGYax4yFoyzYoQS4UByoViapOgq5OgapKgLRHU8fr2Qxdv155DOfzDqe3qc7LCHYD1T1ywj1cwgN8AiOGsFsvLYRkRnzkufHiQl4OnZgmO+h5OwsZiaFqjTOc2yZl5XaOK+sc4qFBTgOoi/IoD0fCYOTRNS1zoQnEIDb64Pb51Nq/bzPC49h2bzduGwVh7YSr0WpQWkuG+uV5uxlC0vMRnUYY4M53Po9AkvCpoepbF5d5/bm/ozXwvWY3f+zJSkab2iATLagz/VM4NXKpV1bVwn3NHkekCo5FkkgFhERV+t3XulEV+/vULfwGbj8g4iP1aF/2ymoDbwfjbPVkGHJd1fKB6/6HkuZ1xbUz2TjNt0HdZY+qBPDfrqDaO/QtC9J1lI7lv57wLIPdbxau+R+qR1T/eu+hw39K8dL7qEOVD+u1DbjeSj2Uba6+6NYGU3BaO0e3sHxGJ4RhMxzIC8ICjXPPCP08/RW0LSsbNe3Z3GvdPtrYbCg9pXaxkKs5GhL3yEDI70YGO7BwEgPBoZpvg8JMf0cqK/6mkY21YTqURuqVes69VzMx1O8PZJjsDi39O32zpUSVN73pRcQHUsYPibWvG8hjjxzbq6PUWe7YwHHAgWygANKC2TI6d6NA0qLc4UHo4PYM7wHP3vjZ3h277NpB1nVsgpzQ3MZXCK3RFZbTZm2mdaPJ+lDcc588np94jf348GuAXT5gmiMjOKihmqcceVH2IASnZ1MJaooRjeweckimLx7xgz4VqyAX3WjJ3d63p9ZbVeMsyX4RTDTACytAKcKL8PxsDUANYHRQo31kj0n473DpyHE1yIhx7FeeAVfPfi3trvnwaNaDKJaDCDEam0K6OaDCInG5QBRynEUAGjy1gAAIABJREFUinc4LIxiSBhjtTYN8TRvXKdsG8OQMIoIP774eeMYYlF3oeRHoWg9QtFGzB+dh9nRGZgZa0azWIN6KYgQ50KQfghkGcWILKKfC6NbGMIBdw/2eg9gl38P3gnuwIhnoKjjt9t59ZgL9UMeNAx5UD+o1P5oOkAhFWZfKIbeUIzVszv9mNlfDcnnZ782hfAoNi4cQM+qEPwuP5sojqU2r68zrfcLPpacx8d54eM88PJeeDg3paCCJIqQJQkSAV5Rgky1RFnZlZrWy5SpnWpaVtezdrr2+n609uXcXyySShZk95qOp50CWr0p6KrBV1PtybA+CWvV7Vo7YYop9MoNlGa7lom4lFKjqvA05d4fYfAsW/FXuRlETbr269SptF7NI5j37UR/j5mUoRs3bmTuweayYsUKzJo1K+n2rndtp9iq06kQ9GFgM5wCm7RsBTxzrU+FaDFaKNjyFmaf+P00s+1+4maEexdMJ3MW9Fy8HODhOXio5tSaV+bZNtN2d44ceoRTKddknOKdq3kn6a8yoS7HtXXadnVbaj2QgLKvKRx7Qc9b4mNIuIcRd49AdI8g4RqFKFh72vCiF65EFVyJAISEH4Ko1LxUejX2nKX1OPezhxXUFk5njgUcC2S2gANKnbvDlgUcUGrLTJaNhmJD2DO0B7uHdjMoSvNaPRAtLTxw8+4UaLUJVw1gNt991PakjCuHsuWl9Xj3CI+EYBzP7//4S8zavJGBUnPhq6uZUpSgqE+NLepqasrrdOJSPKm+TALLLFDTStVpVnBGxCzu03mNztg44Aog4A4gn9rv9hvaD+46gNl/Sn+I3NncjkPPPBXiWAyimsBIVhMXyWER2oSwCETGF8OTSJ6i7JSR8NIkqZOMuFdUJo+IqCeBmEdEzJNA1BNHjJKJaIrLfJSKpNYslPIxz37ovqoZbMGqvWeicXQW4kIMu+o3YN3cR+ATfEk1rqZSrYrWgU2ROgRpCtcgEK6FPxyCL5I7UV8sOApvIAq/N4GgC6jmBVRLbtTEfKgJB5hyMlMZC0QxXBXFKJtiGKuOIVydQDiUgOxCurqWXLJ1quOc6lpzW57HWEc3xvZ2YmRvB4b3dmCofT8SFnHMCHrVzZ2D+jlz0Th3HhrnzUPTnPmKm7ja7yf/+UnEXtiGpgEPc4M/0BDBwaeegtuPvX0Cf23OrmYLPPw/38TWl543rG6aOx/nXn8TYtEI4hEK42BdZ9zO9qH4mFHE1FqnrSroRaAwAkala0rJaql4TapgVWirgVcLdSyFMyhkefaBX2PbuhdBcLp1wSIcc+ElaFmwqJCHKGlfkVHFrV8PTzU1Kq2TpewS7mpy6W9IKVD1alSzW7/dE3vz9dex9q9/NTT3CgK++KUvlXXsNw1uZoKZejVnPKyoOzNBzkxw064N9e0EFw+PT4A3NApfTS881b1wB7rBBV+EK5ge4kCOzYFXOBS83AgODRColhvAg5ZrDHA8qcjVwkInv84UFSAryW3KCva/YVsqpnRqm3F/ZRddO/P+uj6V46rKRc0QbDF9fy4mAjEJXFQEm1drWmbzrE4AMW0+u/dIPteHKUkpLFC22Oj5dMhOm4Pk4iALPGSBg+ziIVHNc5AEZV6ieW2iZdqHluk5kOchsvA0HKtJFctyRVJN6lp1mdVsWcJIdAAj8T6MxgcQTgxiLDHIon6bCw8BPj4EL1cFDxeER66CB0G4ETT1q/QNKdMxaUyq2lcbhyRDksBeeJrL7CX1OO86B5Tmeys57R0LjNcCDigdr+UqbD8HlGa/4BoM1YNQAqN7h/eiL5JKHGTuhSAkKUYJ0LwV8SAaOBoSXwUh0Q3fyJO4eul7Mbt6NqJiFNFEVKnNU6b1FvskpOyKi2Ld1pTYQw9cPa4A3C4/PEIAbsEPF++Di2qBai9cvB8CyyjsBc+7wfMeZeK84HjKCO8GOBerZc5FKY4pfzxkqmMiEpEYxHAMMfphHIkgFo0hFo9hO+fG9pYZaad52rrncOETj2JmTxcaFi2AsPRgyEsXIXbwXIRn1jElpl1FphXkJKBV6ELgKAkoxwE3rWAoqeDyKbHwGEb6+jByoAfhjgHEukYg9kfh6uFQK+cHk62Oa4jXaYjVqY/hqcXvVNf5KyceGT3gf/vza1EdbjCYT5w/gGNXHmGKGRpJus9lusZVdV5UEyjQYgCyWoEHBBFylUR/BKIWFzUZE5VipEaQLXmVEPKw+KfGBFNKTFTOk/slixiPo2vXdnTt3KHUu3aweVJbmkuwth7N8xegeR5NC9l8rcVngnm/9uF2fP8/3wfFkqa/vePajsMtR9/CVKROKZwFhnt7sP63P4Ak71bghNiCZe/7JFoXLi7cQUjFFCVomh28EpCl749MYFZbr++H7sViFZfHA7fPb1DCJuGrZTiCzJB245OP4z+PGAFe3Yw2XPH9n7Lhp1yD1R/6qt+unfVK05Tfr+Llq7kP57leF+vX6B6d/7gojuVIfxQjAxGMqvVIfwS0PjysuPXrnLLVy6iscbk4BGq8CNZ6UFXrRaDGwyZKFhSs8cBFMRu189a5Nb/51ON449VXkQjVQaZQMvEo3H1duOiGL6HtkKVweQqnHiW4qbmi51Jmaq7rGeFmAYEXwU23T4DH52KQk+ItUk3LxvWpdS5vDHAdgMQdgIQOxMX9iMX3IhLdi0i4HaI08RfF9Pzo9bbA621W6xZ4PcZlj7cZLqEwic7y+VyQIglIozRRTPQ4q0V6qaxbpu3shbO6LmvsmwwHZ89YQXqGcoMPuiCwWn2molrdJgSV5ytynd/79ZfBm5JRNn18BbwLa9lRpKgImcZPdVRMLifndevMbQzLBHsLVAjicl4XeJ8AlhDTS7VLqX3aMoVESs3zXhdbHk6MoXOgGwf6OtHR04nOrk5QgiWrQolzKPcBxT2dSOxTekHxi//3LzQmdqJKUBS53aIfy889EavPnV8gqzjdOBZwLJDLAg4ozWUhZzuzgANKgeHYcFIJqleH7hvZB4rJmKnQj+oFNQswJzRHmapTdWuwle32VE8XPrRxv6GLIEax6cRj4MuhIiEXl7gkM1cXqmP6ZTYvJbdFxARGxRjCiTjGqBbjCIsJRBJxRKQEaHtEEhEVRUSplkTEJCk5sWOwPlOuNMy9BhxEmYNILqOs5iGBhwxBqVWYCQYzyxtk8dIwhHgn+EQXhEQnBF3Ni4Pj+kQgJW8mMJmPclPfB4HnYhX6sT/S36tA0P5ejPb1Ido1zJICyUMi+DAHd9yDAF+NoKsGHt4eLIqJYfTFOhGTwoiJEVZTzE53yA9ffQj+5lpUtzYhNLsV9fNmg3flhmTFssFk9UvqgshoAtGxOEghRTGqoqNxRNLqOPux37N3xPZQ/dUeA/hMQlAVhvKmRFG2O7bRUByIqomlUkmltERTciyzelio9oASSQkNCkiVq4DBSDe6+3ajs12Bor1791iOoLZ1hgJDCYrOV+pgbZ2N0WZuQi62lARpurnHTsgoBdx5+9M/xS7pu4YeZ8Qvw9Iz/ruARyleVxTqwABWNRirAVcNvrLlaG51bCScbJMr0VHxzsrpuVgWIBWjAr/9cHl9cLm9ENw+8C7lRTEneMBxHoBeDsMDSXZBltyQRBck0Q0xISARFxCP8ZAS9NK4MO7A44GbmUAo9ZVeZITD7coUaWfwk2pl3V7E45kFBtSXx9MAn282/H5lEhMjaN97X9phFiz4HNzuOsSinYhGuxClOqbMx+P9ti6rIAQzwlQPgVaPAlrpZb5VIUCYBJoEP3VwU9Qvq/PiaJwpEPMtvI+gp/rC2AQ4zfBTAaJ0v+TwpbcYRHz/CIaf34+xA8Pw1PhQvaoV/qXGl7X5jj1TewZXNegaIeiagMxqgrAqjDUvs300SJtgsHa8STetxsW5eMheHr3uEfTwQ+iWh9AjDqAnZv37wOvyoLG2AQ219Wisb0BjQyMaWxrR2NrMQG2ma/DKjQ+glZ9tGEL4XTIWn3dCoczr9ONYwLFADgs4oNS5RWxZoFJA6UhsBLuHdxvc40kVSjC0cyzdLVtvPIKh82rmGUAogdEZQaOCcUyU0B1LoCsWZ3V3LI61nf1YPziadi1meclVnk+BUBMU/f/snQmcLVdd53+11917737db8tLCNkghAgkEtlkEUUYFWf4OC6MICCrDqBxG/CjguKI8hFRg6MiA4iCjggzKruGLAQCCUv25OUt/fr13nervc58/v9TdW/dpW/f7tfv5SXpk5z3P+fUqVNVp6rrVn3rvxC0fDQm4jHk64ikLmLocQQtiqBHIbQggBEG0H0fhkfZg+n50MMQRhhyHz2KMuUQehjBoHZaHkcItYhNqT0thGdEcI0QjhmiVroQd1zyQz1TVq49gKalIdKnIdTNtSoNhKioTYxrHia0ADNGjFlLwQFLw4Gctam5OoHS8yHRi3ZjTcJPCUFX0aDy2irclRriDR9qAzBCE0V9BAV9BEWDZGXg7seIERg+4jwF7NFArpv008tYO/g5+PnT0IICSqefjrVmBe6sj7VT81hfmMf66YWB41ampjmIy8i+WSlnZjG6T8rzPXAFRXknyClhZwCvEcLtklkYyv0aZMJ45lrfFOX30u+dZc1Q9seXmJPqQ2hnPhLXaVT1E4jqIGxporoIl5sYBFG9qIlauIZ6sA5RENAnCygenMDoxQcxdcmFMMmf6C6nPVC68wkVkWCNf3ppZenHEEGE2I8QeR48fwHfWfh5+LYMBJcmJdZx8f53QM8XoecLUFUbGrmWUG2omg2NZKZNOU9cvex8pvqvGfp+D1jdqVbs+sIpRGGfgCbJh9m2aW9qNpya/7btkjvNgvu002FQsJVESpGAma3aW+bGW29Pdh3Qbxv70drfru2TyW5EPoFDgYhz3JbkYLHzim3VRLwOEfc+2ymKBYEIEGd+v+/etkLWNxplCV0Zvpo2DMp2ju+LZi4HK5+HVcjDplwqIFfKI18ucraLee5DbiR2mnx/qQ8MPcFtrnty4LCalkPOPgA7AaFUJiBq2+TX9QA0Ld+z/v0PvAfHj30IsXChqQUcPPQqHLngLZtuJ479DnAqYWoCVBmmyhxFzaGmQBdl6NEYDH8UujcCrVmBVq9AdyrQvVHo7gi3t231Nx+WtB61jKan1PiUmp7t9k7NTwqMdC7TxsYGSqXSee1CIjsfWe1WAq0SpoZdUoLZdt8EzqZasARdu7Rps9uoKS7D02WlxnJFqcFV+lsZVEQeIyhgRCti1Chh1CxjLFeBoWlobmxgab2Kb+gPYVWtwxAajkTTeIJewZPf+WPn8jTvbWtvBh7XM7AHSh/Xp3/4g38sgdJ6UJcgNPUVWjvGIHS+No/5RqdWZ/cMEfi8sHJhj2boaG4Giwn0ZPgZdIJQCUZDLPsBGn38zgx/Jnp76qSRQFmVkhyzZ+vtdlW2Z/puuk7f8ZL10+0MGEfzfahra1BWV6GurUBdXoaytARlaRHi9GnES0sIKa8M1hrIHq1q29AmJ0H+QfXJiUSm9UnoE0l5ov1lm1wNZF0V3Hjfn+JDa/vxNTy9NfRTcDteW7gJ1xx5JWwjh41IwzFPSTJwzAMe9gSOucAKqc9uknQFOGRrmazjMNcNzjo/xMqsKKRhIaN9yjY1U24vz/ZJ19ls+051g4En59WVNhDl+iqaa6tAPc7AzxEU9QoKBskRGOpgDdXYjCGKKrQxC+ZkEfnZERiTRehjNsh0uuOBVAT48ueuRaR1amxc+eQPYmLiee2XSCFa0HSNwOmpebBcmMfG4uAPE6Qt2ANRGab2ulbY6d8XfYfohJxtzc42BE1gaEbrk5adiV82Ap1WwYBNMm/ALhiwCmm5LQ1Lx2f+5A5QkJNsetJz9uNZr7h4p4f9iKy3On8iMZlPTOePPgi6pm2tgKIxipI+ytC+ZI1jND+NvFKCGm+ucUwvlNKUn7I042c5nuMXzp2mxzIoHQQyU6jJ0o8Qd8HOFHwS9OwGoaHYgK8uIzRWEdrrCKw1hPYaQpJJmQJq7FZSFF3C0wSmplC1JbOANe3TBV1bALYPiM1CWRpzGPCxW8e2W+N8/i//DHf826dRnG1A0QU88r3rlfGG//W30PTz2+pjt+ZgN8chk372j8pBptxW0KlT990JZ/0THZtS1BFYlf/G142mK9DNCIYZQTMiaHoITQuhqiEUNYCiEEj1AeFDCB9xRNlDHHqIQg+h73JmNxGOg9Df3eCCqcYrQdMUsDJspXpeg1n0oRccaHYDilmD0NcRK6uIxDIE7feAlLP394JQAqP2fpjmxLZPz8N/cCO0JcHBebSgiHifioNveeam4xDwilNzdjZtJzP2To1PqgfOBrxoCQFlje5hdN9aT+5f63xPo/uYUIYzFTfiMRiYgKlOwNSnYJNGam4GVn4GdmkWuco+mLntH/+2J+wMV3i0gdIzPNzOZ1z6DewArV2ary3YGiJ0fCxUl3G6uYJFdxVLwTrWRP/fO0sYGBF5lEUBD2mnEdLHlEx6UjSLH/ut1+zmoeyNtTcDezMwYAb2QOne5THUDDj1GmobG5ia2z9U/0e6UyNoyABKiXYogdBsHmTCNlucxUUjF2GufAQjhQuQt+ZgmJOItAprf6ZaoCSXKQchquFwD0g0LwQ2p0wdk6bRkg87Hr6y3vvD+QeXHMDTK4UuwKkyFKWolCTP5TfkaKOKcDmBnCns7JaLS4jrw7/0apWyhJ4p6GzB0E4gSkGVtkphWGUNANdbgEfZlTKtO85RRJGLoziCdYyijHUcwQNbDdta7iCHRczgdJqVdnkFgx9sJ7GIaSxwnhJSptnCdl5ukjMuFOmSKnFKjySQjsKS4mYnUlCJ6kkbL09yUlZ4IAVQVSiaCkXVpOQsy1DaMJfGkuZCNDZp8nTCXjoPjcb9PfNKmiCV8lVQ2fesCdZ8afmfbZcVMjmEDqfaQHO9hsZaFfXVDdSW11BbWkVtZR0iUjjHJGMqq1ymfRvdt09qnybaqOWJfciXJ2Hkx9iMXWpypubtqWm71OjMLiPgudNE5oYEN+28hJxSGiAIyuAzIyUUbffbzh/1Pbcs4OZ/+i5CcRwiMjF94FK88FWX8zbOyyQEA9HTGZ+iS0cfZDPk7pQvV9hcfjIxmycz+rHZuVY38s0mzfdJ+zSRXHf4BXizRCaKbXgqASqb9k/Y0Ir9zSdprNqXT8A5us5BK3IXjaF4ze5B+WHO1XZAJsFKhpaJ1manBmei0ZmBnXEQbTvMsFDDFuhMoWeQAtAWCF0H9RsmGfE4QtQg1E7AoggVI2vPZr+EcexBaD4oarGUAUtaJ06kUIf/PR5mv7bqI+9hiWZrCla7IW0W3HaB2lQjdjg4uzsuV1YWb8Ptt/8sVLOtLVfSXoqnP/sPtzrcveXbmIFvfPYYbvzbf0Pk3wshXKjaKDTrKXj59c/D5MES+pulb2MDXV0FuUpyHYamJINEblrP9KU+QbbuNqHZdZilAGbZh0UyKZPU7cF/Z6Gjwa+Z8KoG/BplE37VhPCLQDgqNVZT6JpIqfFqSxBLLgm6AW2iEWsYFgzdgq5brOF3+vN3QXyt97lTu6iA3MxIxren9PNJUJS0BrebFEPt8duZ+vGM8nUGqJG5hkBbga+uIBDL8AIy+Zdm/6RlO0yS/lMzvlMzJv7Ubia+VHV96+fiYba3kz6PZ1A6zHzVVpexcvwYuwZaPv4wy9WTJ+A1pYZ5bFqI7QJErojYLiKwbYgtXK3NKGW87h3/fZjN7/XZm4GeGaAP/eQ2itxH3XbbbRgZGcETnvAEPPjgg1hcXMQ111yzN2tdM7AHSvcuiYEzQP62Pv1Hv4f7vnoT9yuOjuG6V/w0Ln/O8x/xmWMYmkSRp0AbKQidr89zuV/gIqGYiLUKRvKHMVF6Asr5gzDMaQhtBIFSQFMYLfi5Fgz3ckcTQZho2jIwnYGfkwxDJRDNlkf6+F28955V/JfvPIhTo21NjitPhfj0y6+CcQ7MZcPlZanhOQB+0jLhD9YQyF4UUvMzm/togU5OQjE3BxPZ8Xx/WcLPASB0WBOp7ovXtudgWeQvlqhjnASiYAKZRLykwBFEEzdpI9NzoWJBjOOUGMdCPJGUJ7EgqDw4sNEI1jGN05gWp1sQdQqnMC0WUEQtCXoqHo2KS+f8PiGhaQJQU5gaq22wGptAZEIIEyLOQcQ2RJwHRJ79vok4yZHBZTJf1HUTemLCyOaLZvIyZ5FmjQ3LzrMZo53LSTPGQh5WLse+5aQm8NlLJ058GPfd/zuIk4Bh5fKVeNIV74dtz569jQ45MkUo7wmydPTBvmuTm4VWgKXEp2hxbOd+zwiUpj5QGaRmgCq9KG+WyOSxI6hUoola/8o8nG93+qIuP+8Ayi883BrqzEBmCi/JFH13QOaQp6nVjQNemBoIBsT5JsI8aX6mGlOrCPQkaysISEMU1aE2oWlF9uFnc+CUmXbglK46DfbAze/HUacT1s3gFbj8eb/T2lZU8xHXA3RKH1HSFjVchI0GIreRwNOgDVFbkDVowVaGrHoAEPixQwgzBMwQsRFA6ARiAwliFQ+x4rNpL31wixncUpC0zX3sDjVB2+zUodHaT3N2K41Zzcap+b/H+sbXe7Z87bVfRM6ew2PVfcE2p3pXun/+A3fCvXsVhgq4UDD3A4dx9Q8c2pWxz3QQAnhu6huUpQyWxH5D3cEWVgpMaPE4lHAUCpmUu2WIRglxvYi4XkDsKIn2uTRXZj+RMblc0jkgnsoyW9a4Lts3L6u75FqDfE12+O7MG9DyncGN2sGMpJn7MMEFB50Tulf4iY/U1LTf8xPfqRnT/zAczh8+uSCQAanavlLZbypB1kxgKvo4vatp5T405u9FbmwW6txVuzr0o2kwsuBaOf4wlk8cS6Dow2wl5dQ2/21UVJU/4pcnp1CenEaF5JSUuZExbDQdfOc738FXv/rVnqk4MD6DV73pdY+mKdrb123MwG/8xm/glltuAclnPavti/ZNb3oT7r77bvzu7/4urr766m2M2O7qOA5e+tKX4vrrr8f3f//3441vfCOuuOIKvO51r8OHPvQh3HjjjfjgBz+4o7EfyyvtgdLH8tndhWO78W//Brf+4991jEQ3+Tf8r4/Byhd2YQuDh6AI4ikMPVE/gRSCsql8fZ7NqoViMPyM1QoEySSTFmjOmoGmjyNUi3CEiY1oe/qXU6aBaUvHDMPOTuC5Gfwk34SUQ1/KdjnuaQ8oQrsX4cQ9a1idb+DotAHHVFBuxphbCTF1qITiKJkQKiD/QyTVliRtv2xdLk/bWN+w2YBo1iEalGtAvYq4WoWobUBsrCPeWEO8vgZFxFBEBDWRab1DxhFUU4cxNgpjfBTGxBiMiXGYExMwplII2oahw14c9OAoAWiq/Ul+odoaoak2qBjClxe9QNr0Im7Ty7jM7ZfzGQRhFZ+58Xp8Zf4ZWHcrqFhVXDt7G370Oe9FpbKzH5/u4+z1AyrN4B+sNfGwH+BErGBBNbGcK2K9PI61yhgibXNTx2IQYrYZ4aADHGwq2N+MccCJMNeMMUkaEawOShBVsONXfdRi83ht1IQ2akMfMaGOmixB/gEYA8dJFOIMAEbcgsEysjG9/FNJwmF6w0lh8VbLq9X7cO99v9pzCRTM5+PgkRdzJGnWdvEc+D6ZDzoIAw9B4CIKfIYQEZkYxpQ9NjkUIoBC5ohaIrNlNlWU7XI+zp9EmiEtrdkODVqrU6O2S7O2rW1rQVWy2rbtMp2Xu+6+vgfUzMy8DJde8i7WcjtXqbmx3mM6v3aqvx+6iQOHOgIsESC1CucusjD5IGvB02UXUaKFSm0E34ZOmsL+4lLtTURn99rLgkwGmgnUVLmsQjESOaBd6DFCdRm+sgxfLMkcLbHWE73A0/2WZAret5oL+ZK+Ofyk5duNGr30wBewfPIriOMIY9NPxb5LX7rVbvRfLgSiWoC43oaobcDqdywbBM97BlcVUJAxrWhALZlQiwpQiqEUBEQhgpKPgVwIYUUQRoCY7mcEVclkOk7LieT24dpSOLuzydjeWpqag6YXoXMugWB3WqbzKZeV+NxSu5Ypc10rcfvjHbgGCw0s/dkdbKabJvviUUz87BXbOyFJbxERcKQImrGEj925a1kYVOEGJ+GGJ+FGp+DF8/BAeQGeegoCm380ok0a3iRMdxKGMwmjOQm9MZGUJ6D7g32X7+gAh1iJn2BEhEiErawrJuw+fktPOQ9iofkQPA4g6SBQAxhlG9ZoEfnxERTHJ1CiPCYl1cmS4ZFOdJ9ogdSuIFRpu+8tIoqdoXbVMEZa4LQFUhmuJlDVmoZpTg31Ydf7+x+H9Z1/a23Xm70Y1qtvBtTHpsuOxvpaBwxdnT/OMJTaByWCoZXpGQailcnpDjBaGB0buK7neXjPe96DKOrUeiZ49rzntd1XDXXy9zrt6gwsLCywBmYQBJicnMRll122a+OnoHT//v34q7/6Kx6XtvXa176Wy2cCSun97bvf/S4OHDiAcrm8B0qHPGt7oHTIiXq8dvv73/o1HPv2HT2HP7pvDuWJSdjFEuxSCTmSmdyuF2EVCtD0zc1AndABRZFPgyYRBD1eP42HmxuYdx04wkaslRGrZcRaiaVI6kInQFqCIFPgIdO4oWOaND11HZOahnFFwwgUjAgFlUhBJVRQCgRsXzDEJJg5EH4msFNCzxQmDbkzj6FuKcTNwlvNCKHn12Dk1qHnVqHZa9CtNajWqszmKlRjuMijEAUo8QSUeBKqmICKSc6aIrOuTkFTywkoVjugcgqZv3vXCt56573wRNu3oY4Y73nShXjaU2ckDyQt0pQNJmUGhgJwGzW4tTU4tXWWbn0dTn0dbl2WKXuNwZoApA1BPkFL1gQqhWmUzQk4pQms5ktYzNk4mdNwIq/ieF5hWWe42T9ZMTAbKpiJFEwLFVNCw0ykYprqIaFyOhDJORnh9ODSAAAgAElEQVRypseVHE/2eFvHTZtKjztZr9WPl8mx2gq2ybi8miw7NR/a1A0YveiLrR13Vo7g5I2/iNDbObwzLK1ltt7y4Ulm64kpuzRtB8y8gGnHMHICphVDNSOGroFbR3VlHtXlBdTXTqO+voTGxjKc2ioCrw5FE5zVRHJZjaGZZEZvwypYMHIGyDeoRsEWKCKZEkPEHmLyH8dgt50l4D232mbZK4UArYQZZOKZgA2qZzODDtnGsCPp32rTegMikf/Ybk1R8ovbnei+LyPOH8lEnz8CdcCHgUf6lkjmmC3t00QLNVhswn94a+3JFshMQKWEmSrUFGAOATIJdqoEPbvGYAhK0e8GJIoUnb5Eyw9MaUCSdnn4SM/F5CPT1lqgZ+Oc0YsivSTm871BW87G9ijKdKqRymA1Baw9oNUf6Nahe9/495Chqgm1ZHTI7jZyCTFMYtiaaLS2ZAJce0BsCmGzQDZ2sbz8RZCVRneiv3uyzBBi+2bJ/fadgvJsB7I+WoAr++ENEn+8XE5zZ1vz9kW49/c+49iXjYPP95DAMwWi0t9OO5FfzCC3hCC3jCBPsjNHRm8gqez6ml+S4NOZhJlIw5lgKEpt/cxYSBOTMn14Je3ztN4hSX2W+ym9y7dc1mcd3h59DCJlgPbzPmtoOg7u/bd/x8gthcTlkDzCUAT4VvEW+LqH+soyaivLLbPnQX9nmmF0gFMGqechTOVjTNxN9QahSkz96TfAPz30c4hlTsFsmfx3aqVSu3b0NuQ/8eae6atf90oUn/++YW5f52Uf+tC7zGbyD7Nm6NrCSYahdM0MSmQJQ26eGIROdQJRssA8k3TnnXfiC1/4AtbX13kY0v57+ctffiZD7q17hjNwzz334GMf+1jHKFdeeSV+5Ed+5AxHlqsTKKX3qFtvvZVB+VVXXYV3vvOdME0TX/ziF1uglNxe0PKvf/3rvOxFL3oRa4aSSf3P/dzPgUzss+ntb387nvKUp+CVr3wlqHz55ZdvCkrX1tbw5je/GUtL0k3I7OwsfumXfgmXXHLJrhzjo22QPVD6aDtj53h/P/mu/4Hbjp/EQwcvRmCYGFtfwqX33bmjvVCKBTRHxlAvF1HN57GeM7Fum1g3DDSsHDyrCN8sITCKCPUyhDLcSwPtTFEoGIsVjIRg0FnxBUqeQMGJkXci5Boxco0IRj1k8Bl1BT/Z0QFtshJFljbJfNNS2WzeIC0/Q4VuKDAoGjg579dJAromOB//2jGcqFM0zM50mXE3SqghrNYR1moIaw2QLzmhqBCqhpikosl6H4l8AUquAOTyUCgCNGXTBiwbwiANQxOCMshUWSCOBWLSWGCZ1kXfOtQ6w07NTABobg16LoGieVnWzMEP6enRhm4ZoTOK0BlB0CQpc7s8gjjcuelQXRXYUAXuMF18x+yFDRf6IS71YxSiJgphHYWwCi2qAqLOEWtFTJL8Xw0DvRTkjCkUjWkUjQkUjFEU9TIKegEFzUJui6/upJTWjAUasUAzBhZ04Fhew8m8glMFFauUixrWSioa1uYfCEixcrQeYbQeYyyR2bo2zKGc4R+GWToNI7+CKMjBXb2AR6PgEOyzcws/nf38ehKMP1uJNFyzwaToITkNMNWsbg6/yZda36BS+2ZZM4U0oTsBqoSqoguqkuZsClt7lgnSRJMANrvMD1awsvLlnikhLVYy+acxzzSRRpgicohDHaGrwOfgFkDkq4h9FZGvcVlV8yhWZlGZOIDRmSOYmLuYs9RGO/vWB2d6nFutf+p3bmVtU+IU6VVozhUx/jOXt7U5z9L12YrOvAn8ZA38R1gLdKv52+7ycw5Kt7GD5GKhA6bWfcS1AFFGpqA1drbhwodMgVOYWjShdYHVNmg1oVqbBzIb5lBOnvwo7r7nNzq6jo5eg6de9RFuiyIHUVRHGNYQhnWEUR0RSS7XMmXZh5dx/6SelIexBBlmf9vAVWqqSq3WTFktQlMK0JCHhgI0keesxnlocR5qmIMa2UCgZKBmBm4mpuFDAdABUa83OxZn9F5EehMEIa369nz9k//fFgTNLyMoLEsgai8hMHs/UGX3QRUWLDEDU+yDpeyDrczC0mZhG3Ow9TnoRpFhpoSaBCK7wWfvsmHO1yPR58t/eAPEfQ5srQgnqkG7tIhnvenVHbtCPlhrKysMwMiHZApQqUxtVHcbW/vY7wtTE63U80kzNT146boq+XDmL8J35hHWjiGunUTcOA3hLENxNmCEAnoQszQCASOMW1IPBLS4v9WEUBUEhQrCXBFRvowoX0FcGEFcGENcmACKExCFKSi5ERloj/3UU07KmgWt1SaX7Xai5zjpM/RhrJw8gfVTJ/kZb6vAoaWJSfmMx9qhUjNUgtFpdkd3thMBK9IAJN+Se2l3Z+BLX/rStgb81re+hZWV3nvutddeu63zc/HFFzOA7E4ESiuVCr8nPfTQQ3jHO96Bn/iJn8Bf/MVf4NWvfnULlBK4pOWvf/3reX9o+U/+5E9y/sY3vgEKwE2JTOqp34c//GGMjY3hBS94Ad71rnfhaU972qaglCDsP/zDP+CpT30qQ1jSbD1x4gQ++tGPbmuuHiud90DpY+VMnqXjePfvfQDve/r3doz+xIfuwkeufTJ8p4F6o4FTtSYWmh4WXRcLnoeVKMKGoqKmmWgaNppWDo6dRzNXRDBAs7T7ECzfQ6FZRbFRQ7HZQLHpoNT0UHB9FJ0YBTdG0QPsQIOi2FAUC+iR/TVZSddOVyLoCKEpIXQRQkcATYTQYh+6CFhyjkh6UEMfWuhCi6jsynLgQg0caL4D1W9yWdANKt4ehYo0C9+48s2oltv+7mZOfxWX3fWhnjNLPj056vsWwY/IP6gMsrP9lPoDZa2kJCBSNigSlelFaqtEgXXI6byhU55iqWtTMiukAToJVZkC4iyolYCWX0Z7YG3MyyjwC0V3DUkGHmp07TU9LHkBFv0Iy4HASgisxipWBZ3l7c+DHXsohA0UIsoEUBsoI0RZBUZ1A/vMEmaNMsp6BXmtgBwsWLFOru2gbvIwmc5XZKgITA2hpSO0ScpyZOuISJMsjY+kJMG6uE7/yFPKZQCOInBKFVhQI5yiskIyxrwSYWkLqDulaJiFijlVxxyVFQ37VR2zqo6iKjfE4Zoy2+W2dN9IdyOJCUV9ZFmus7Hs4Msfvafn8vieHzyMZ7z0yFaXzXm33Gs2sb4wzxoGLDPlQb6oyJx8dCYJLLUvCS5FQab2zbIG/m6kW7/6EtTrd3UMddFFv4xDB1+DWASIGHRkcwI/os72IKjCqS3CdVZA5pqxaAKaD1Xf3r2s3zERtJWmuAnY6NBo7dJwTc14uzRbH8mgFXRMX73pGN55agm3j2nQBfDMlQi/f9lBHLx8sP/hrc7xY0kLdKtj3c7y8xmUbuc4yFR6M4iaBavUh1xCDJsIaHVqpLZdAbBLgAxoJb+73SmYr+OBz/w5aoXbEWserNoBHDr8Wow+f5e0RuhjaxAj8poI3A2EXg2hX0Xg1xAGMqdwlYEsgdi4jjBuIEIDkWiyjJUmIqUJwdHfzzypkQU1tCU4ZXgqpZbWO6Qt25M+rXWoTdMlVGxl6du3o66rcJfm8eDB34JXeri18yMnnoOLxn4N+r4Cw8lIa8DHKXhiHm4szePZVN6nfILv44MS+VinQIk5+0Amivx+bjPNM7s/nfmMn9sRPnPb/XjoxGlcdHAffuDqnT1rBJ6bQNMVhqkMVROImtbdem3LAzsnMJU0v5trgLMKOCTXgGamTO0dy5O6vzUM7neAgp7x2JxoZynUFPiWCs+U2U+kl7RR3TdURIbeAqkMULUMVFUJqpJLMtnWBqw24ghway6aGw04G812MNDlDQ72ycE/Qxn4U/qyVyFCBbnSGCqTcxiZOgDSEpW+QyUUPRNf6TubJblWo/kAHn74BlSrd8EwypiaeiEO7P/pMxlyb92uGfjzP/9znDp16pzPy2te85qBoJSA50/91E9xoKWpqSn8yq/8Cl7ykpcwKL300kvxspe9DG95y1u4jdK73/1ufPOb38THP/7x1rGkvk5TzVRaMAwopX7kz/SOO+5gyEr+cknD9bOf/ew5n6fzYYN7oPR8OAvn8T784F99Abcf7v1iNrPm849Zw9LgkfnpkIm+TpacAMUmwU4XpaYjIWijjkKzhoJTRb6xAdutQggPEBQogbSidv7DTO/5RhTLHIawwhBGGLXbonZZT8thDH2bsLN7ChRSGaWI4boOhQI40YN1UlbI9FQnU0rZFiwuIlpdxVrlIrhWDsXmOkr14yi/5IdQfNazOoIiaZWd+08iczr5VbkdCT6NDt+KFO8tDGV2Rw8qWV+g0h+o9AuqqaMUexxKXGSYSQ+eBDdZugQ4M3WCnVvUPc/HcqhjJbKwJmxsGCVU9bLMRgnuFr4YrdhDOahChcBpa6rnaj3sHEfFUtAwSqirOWzEBpwh/dmOQwE5ApjISk3DdMnC9GgO+ybzmJouQR+zoY3ZLOll6mwnPxY46nhJ9lk+5EhJedBfFLmnOJyzcEHOxOG8hcO2hcNUzlmYMIfT9P7KJ+/Hp745j42CBtuP8exSET/8xitZu/qxlEj7pFsTNYWpbn3zl5FcqYyRmX292qj7Zrfl/7nZPIqjD/8J1tfuZO2g6akX4tAh6c9os+Q1GtJ0/uiDWHxISorK2i+N7Z/D9JEDGD80jdG5SVSmK9DMuBO+tqBrqoHWhrAMaqOdvZR170/WZYA05+2GrNLNQN/2xPUAtuGmJbv9F956O+5sdl67Lxk38BdPvrzvvA2lBeqd3hKCpIOfDV+g5+vf4f+eX8GNq1WEcYynjZbx2gOPD9hD5tUpVO2GqB3aqnUfIuPzcqvzSG4cUn+qKUQlVxLkP7M7jf6ni/iDXNuUPNG6DPubmRMM5SA9qel52m+X/fVSMK1IdxDrLmKW7UztwnARm0mmcrpccxBpDmJ1d4HrVhquqd/W1VM3YbXx773zPHYtf5Ci4ElbBe4xjNEWCCX4aSdQNJfbD9s+MJRfya2ukUf78igW+LE/vQnfPC7NlCk948gYPv6aa8/KodGHeglQV1DPwFQGqkl90EfUdKfIPU1q2j86VsBo2Ua5aKCUU1GwAFsPYZIfUoagCQDNgk93uKBPPZOgmUB+DMiNJjkp56ne1c5tsr22fjvsG36ItUyz6fizXgxr3zOh1JehNpahNFahNtagNTegNavQnTp0pwE1HAz90zFDXWlD1BSqpjDVkICVcjDANdVOTrxCwcQIxGqp1quUEta2NWE7tGIZ2LZzt2Ysa80mfXqXyfU0jbRFO58vbr7lBWg2O4NfXvLE38Lc3E/s5ND21ukzA+erRunb3vY2NsMn2Ekwd25urgVKSTOUQCsFXjp8WCpXfepTn8IHPvAB/Mu//AvXT58+jZ/5mZ9paZmmhz4MKL3vvvvwC7/wC7Btm030fd9nE/89ULr3J7Q3A31m4Hs//mU8ODUYzOmRQMmJUG6GKDcDVBoeRuoORupNjNYaGK3VOJebDWgikNqaCKErIUtDiaGRdqcSQ1dj6FoMTRXQKDCRriPSVISahoC+RCoKAsoqQEaQ9JMbUMTxWMAXJCP4lKMIQRTCj8IkAM3OTq9l5ziStZUrwC4UZGTrfAF2nnyvFmEXi+yj1WJfrWXkyDyiXOHydlLtc5/H5274DTSuEtByIeJ1HaP/IfDCj/wf6DMUjX3rRBqeaVT4DhDqtqGo70ufI1slFXkoogIlLgNhEcLPI/JyCB0LYdNE0NDhN0izsw08JRCVMHQnqa4XEviZQFCDQGgJG3oZdX1woBcNMcYUDxO6jwkjxJQZYzqnYF9exUxJxwj5lrQsOHcv473zM7gNbe2Up0DDH+y3MX7oAMJVF9EqRch20QgjLENgGXEiZXkpbVOBZbrmhvi6rqsKpst2ki1MZcqt9pKFcm5zX747mdNB60hg2ganaZlgqjfgI0FR0xiaXpCzEogqASq1zdlma5Ov/+7D+IfTa7B8F55p40jOwieuugiz1rk7xt2es+2O59RqLQ3UbpjqNTd3S0Em+yOJBmq3WT+Z+mfTvbfciP/3yb/D0SCGHga47vBB/OCb3sbXOyXyHcpAlMDoQyQfxMbiQs+hUJC+VtT5jE9R3Wyf0+0ef7Z/p1YrwVMJU6U5bwJWu7Rcu9ehD2YxVAQwkmxmytS2dT1UC4goKzmEah4hSdgIFAshra+YCIQOHzp8lio8oWLR7/9pIa/SHsXQEEFFBEWEUCkj4HZqo/sTSdmvXaY6fXbQNQOGakBXTRgaZQumZsHQcjAp6zloigKy7NdJQpZlm8Ix2tLytvrwWFuMk2yXx8cm28r2UciOYOfpPQ8t4L1HO6/PV+wbwx9dcnDngz4G1yQ42QlTZcCquJYErsq4ASC/u5ul71Y0eCpwqBFjbJNrfEfTpyb+K7s1LlPzbvLFSx/NkuVUJj+8VOdypl+npmaqtZlocCb9QFYQQyRyR9LPfYDUvG+7D0g/8EhXAnVEfG9Ky3V2g7JbiUAKQc8OrVD7ANft3P5tB0Pbrf16tIzjBBE++O8P4r2fvbdnl3/7P12Bn7zm0Lk9FIKXzhqi2iKc00fhLZ9AsH4K4cZpiMYyL1P9KvSwDhMecloAW9uhxjS53MqNQiHouR3wae48eOKJr70d6tf+BrYbITBUeBc/Ewdf8I/DzbHfAKrzQG0BqC9IyflUZ536DZF8aHCgo6nocBUdnmEhzOcRF4oQpSJQzCMu5SEKBDqFDKpHbo44k69nKdO23fLNPMSud3RRVQr62QaxtPC7ro1PKT+K4ziIHBw8TdyKV02s4con70Um3+787lb/c+GjlEzvCZQePXqUI9GTdilZ2KQapRdeeCF+/Md/HL/6q7+K5z73uXxof/zHfwyCvp/85Cc5yBT5KSVNVNImzaZhQClprd57771szq+qKmuqkl/TPVC6W1fR3jiPqRn44X/6MG4rP6nnmF567K9xKLeGg8UKZsqzmCkfwL7yARhGYpKkG1Aoa4lU1OSrdz9JD7iynXJaJrUGWR/uAbjfxEdhCK9RB2l2keYXlzOS2km7ymtK6TYbHXUZ5XtniSEqAdRCAlUzkqErLU/ajt/7BbjlD3AgmTQ5yzYuv/hv+Guz56zAcebhuafg+YsIwkUE0QoisYoY64iVDUAdDlCGTYKcOoKGwcAzldxWl21xeCavuoBh2QxqdIsAJZVthGYBVaOMda2IdeSwKmysxBaWAx2Lnopwi6meKVs4MJbHofECywOjeRwYy3F5pjw4QBAFZwlONVC/5RS8+9fxDYRYgSCdV1zNqKI30ctZVgtUH8v11Qpdbfg4XXVxuuolsrvsYrE2nK/IvKklENXCdKkNVtuQldos2PRCeRbTKS/AQ13aqClIrYabv3QbisLwdFTX4N/0RVxz+5dQalQRqRq+fcnVGP3Pr8R/m5uAmoAVlvQXn4IWKPy+S1CGZQKEWv253l425LvxWZypnQ9N/rK6zflTmErBKTZLhZExjO6T5vwj0/vwvvuP4wvf8/2t7uNrS3j1XV/BQSVmKEpBCrqTmct3Blg6fCEmD7Xdfmy2bfoTJYjuxaKPFHA3XbY767ixQHgG9+Sdn629NbczA+2/3Qzc7YKpDHeTv+cW3FUU3N1wEHknoHv3kedsBOYhhOaFeMFEBWYChQkWtzJFoE8Ackd7ch/pbuM6r5OOIeFzNvcdj2PXyH6D1j0f70mC/LJnICr5V73z1pP4xSMqjhbav/VvudfDa3IlDj7VAScZRnablne1dYPNs+SvdzvX4dnsmwJX6cc1dWfS68d1afnz+D+NC3Gzch0aKGIG83ix+DRedPA6TE6+4HFpHr/d87Kw4WJ+w8H8uov5dZIO5qktKdMz2KBUtHQcGpfPjiyT50gqz470BitsjUXm6X3N2LPanX3M3HcUCE1BZBQRqHl4sOCGOhq+grorUG9GcCIdbmTATaSs6/Bi+fya1UwtdgWfOhs+U6OogeXl+1GpzMK2d6bxTy6NVk8eY5dGbZ/w0m9o7DZQMjwUdQ9Fw0dR91HQpSyZEUpWiLzqsPLNUMmuAKUZoDgjJZengMKUlGm5MM7QVAbJS2Aqyb51F1HSJ06Aa7begrKtgHr94KzcTr+gn29R/gzL6Jzb1+W+gHde89+HOuS9TmdnBs521PsUlGb3PgtKr776ag7KlMvlWOuUgi/92q/9Gq677joGrGSGf/PNN+OGG25oBcOkoJi6rg9lev/+978fN910E973vvcxdCVN1T3T+7NzLe2N+hiYgfd89lX4w/gNUFc8gIL85HU8fexreJN47zk9uhSYdoLUFKxKoMp6LFnZgq5tENsJZFMQ2wlo03EI0LJ/MfaXGXOQI/aZGUWIw5gj8sZhhIhyQOUwKYdcTwKOJ1HCyZYtjRguy8wFhSwX9jVRmO6FI0FTZzPXYfwECqFI8FnPws9OGErLqF8/kElgk9ol3GwDTq7bEny2+6T1drvQLSw0BRYaIY6vNjkfW3Na5Q1n8APNSN5oAdCDBEIJgjIMlZlebrdK5OONgCiZFLJMymwaOCAZswXkLhsHwdDUPF4r744mHW02FqIFUherLhY6oGobrG41R+khVHJGSzu1R1OVAavFy7Uh5myrOe1evhKEHeb8WZP+ZV9qRYxUV/FzH+29R3zuupfgG1dcs91NDuyfatrRHYDezXvga6Lh1glY2xp5hAlay/r0bY1JY3eB2t5l7e1nxyQgJAFwurwNhLOgON330HXgbWzAqa7BXV+Hs74KZ30NztoKYs9jH2GKiBHqBj71glf0zM/B+Ydwxd1fR6TpUEsV2BNTsMYmYI6OQS9XADvPsHNrsJkBohRdeAvfu7t6YjcZjObVUimrXVK22X2XtfsaZMXAeqg+DOFBFy50QS9cTehxE5qoQ4sb0KI61FgGdVPCVfxm88dwFJ0+756BW/E/po5CN6ehmVPQzSmWmjHBOYJAJCiDJUHetCzrsl3226JPui56x6F15diZcTJjpu09fXjbyT4k6/bt07WfW/U5k8vEbvwHSis3dJz9xsiPo1l+6bm4vM54G/Qr1QFdM4C13Z5oBncA2mS9gRC3z3qq1PIdBuIynOb+Cj74nZO4s76EC45+BUbgYXniMI7NXYWPXXkhiprK9yvyOM1PT9I9tqzzfVD6rpZPVonfbPkEJn1YJ31b6yX3zsSNNY+T7Uv31fZ68h6Z9pWfytvLs33P+GSdgwH+9wM34W3H8h1bysPBHd/3NJTIPdPjPK07Hh5cXsPR1SqOr9Vxcr2JhXUPi9UAy7UIq3V6fho8SZpOoNRHFPZqSSoKWZVtPs+qQtBtAxVjDaPGCsbVJUwopzCFE9inLMAWMSwhYArBsrucrad9NGsEyJirt8zbt9L43OQwSeEja94vy0lAqsTUv7G+tuWVlMLUFkgloLqDAFQfues+/MkDX8NKXEVByeFHJ6/Ar1/z1L7bp4++a6dOdMDQtVMn2V3RoKBZ9M5B1jTkz50+Co/um0NlagaVqSmUxjPwMPKB6kmppbpxUmqm9mirLgBBZxTwTSfLriAuziAuzSAqTiPKTyEoTMDPT8LPT8DLTcLNTcDJT4BiupFFGWX6TSTLRpZUp1gKaXv3so66/O2mdYM4bFlFLnoOvlYHlEYIpRnyw2M8ZuFaexH/eO0LtzzXex0enTNA4HNkZARvfetbOw6gG5SS71AK6LS+LhUhnvjEJzIgJXj64he/uOfg3/jGN7JfU9IoJY1Rgq1vetObcMUVV+C1r30tB30i7VUy55+fn2fgmka9v+iii3D//ffvaZQ+Oi+pvb0+2zPwsc/9At75pWfBy0Qcf9b+m/CGp38DmppnQ0iImKX8IkaSnmqy9bQP0cHuvrSOyKybHS87zs41O8/2HJ2L8UWkIfbzEEEBiEpQ4zJUjEBTxqBr4zCNKZjmxECQqSeanalJ7k72+9SGK8HnGoFQCUGPJXX66j8oWbragp6pNigD0QSGluztvTSES00GoX4GjEbr/TU3VVuDMVPgABfOt5d7dnPyNU+GdWTnvl93Mpf91nGDqEsztQ1RFzJaq9RvmDRZJDN/CU2zQDVbnij2j6RJbhR8pwmKBs/SIZktp23tPs1mkwO8rS0vQ9lY7dlFz8qhOT2HwMrBp2znQG1UJt+8ni2la9pwrTwc0kRW1BYAorsHQSECzwSXtnqBGmaO9voMPwMEL1JAafeAyv7gMoWagwFmP/DZPZ6sk9byI5H+7rZfxJ/Wvwd34XI2s38KbsevTJ3AdZf/5iOxO+f1NulXXcLZNrj1ogCN0EUzdNAMSLpwIofrLre7cEMHN9zxJzhwvInpVQuKULBS8XH/AQ8/fMlrIPhjqJZI8jidZv7cgFhpt5GDg3S5dI4gl7PjA0G6qipikTpHYKcJifMEWp62KwiFgkiQkyBZTiExQW4qd2Z5b3o0pAsevgU/8q+fhpb5hnjnE6fwr89986Nh93kf2zA1C1a7IGsfoNuGvxnwm8Df1IaJQHC7LGFtGxhnYG4LJPeHu/QhcSn5gJid2MuLOZAv8CwgTuFzEiOxBaPb9U5g3WpPgy6mc5KB18Ou2z1W73qAECGbLpObJ8ph5CJM6mFMbS7CtD1yEEQunKaA01ThORpc10DgWgi8PEK/gCgoQUSDrYHo/UA11qEY622pd9YV1UMcjKH54Fsg4vbzjKI1UDjyhzxpsT+G2B/nLAIpuRwVBl7vqrEK1VyBYq5CNVa4zHVjBYra/+O/rpIrFelChV2pJGUz00Zl6V6F3KyYSJdxmdrUpD1dnrhjsXg59bdgtZaZMBQDYbWBoFpDY20NjbVVNNdXWTZWV9FYX0Fzfa0ViCkNyNSSifaGrmscyZ0B6tg4SuPjKI1OoDw+jvLYBBYNGy+/9bdhN25szVtgXYSfnXwDnpvPYWXxNCPk47MAACAASURBVOfV5UWsLy+j0WwiVjXEqsoySiSVYZrIjU/AHh2HPTIGszIKs1KBUSxByxdAblC7gWNHPQsme2AkuU1ug8s4CjHmnOY84Z7GhLOISXcJE94yJr1lTPnLmPZWkIuHs/7a0Es4bY5jwRrHkjmGJWNUSnMUS0Yik3b63dlJ0u+t4sKj9+OwchpNWPiqfTmueM4+fOZZT97JcHvrPAZngHyRki9R0kLd7UTAlKAtaaM+ntNeMKfH89kf4thf/6FP4v/e1fsg85svvRwXTBZAJi1pLiTl3ddiy4LUNjxtg9k+sDUBti2Q24K4vX3bsDcBuR19JfjNAmEJe3v7yj79+ibtCSROYXG27/GHPo2mcw/WHyoh8jSYxQAjF1ZxcN/bcPgJPwFD3/2bYL/Tv+4ELQ3Q4xltUIahq01+aBmU5kakKbw0jZflFIYSsNtJipukJVrv0BL1KQjFJsEi9MkcjH0FBqMkzZkCtNH2Ndy4bQH1m08hXHehVywUnrEPxWv27WTXHrF1SPO019zfxdJaHStrVaxt1FCt1qHHPkzOAQwhZXfdEj7ySoQceXiMfWiRDyWgQGpnHu18NybItHMtNxUtNxYZtxVmoQAzX4RRKMAoFGHkC9DzReiFAgQ9oCfApg1v+DNOG7gSeM1o36X96FIn0DN4WdKnpXGXQNzWmBLmSq3B7mXtegp95fbakInXTYAwL+uqV6MYt673BkqqxCFeODvZR+uyP3xsaWIq6fL+4NI8CxrKu3GNnIsxHOcY/uc//x2+vUA+tQWedsjEm3/odaCgLo/mRL9vBCwJVnKOEpmAzC3bM+s4BD0z61OZ20IXQTycieSTHqhAjxScGnchFIHJdQsFV8etl/V+eDnX804oTFM1aEqS+5RVReXlKmWVJGlnyjpZvmTL7PWVXQ6RZL1zqIIykR1pJdMqCwVKTMxHBWJpiaLEsk0IapMWK1RnSxX53TppF3w7p/6CbiKxwOidt2N0o/ce/63vuwZxeQKhYSEyTJahbiMyLYSmhUizuU2Q05QETNOQ9OTDT2eJtQzX+T6YGNMk9zZqk8Y18n6Wlvv2pX7J2O2+8r756MDR8grNVf8f7OZNUOIGIn0GTvkH4dtXnNXLVxE+FOFBiV0owoUSkyUClfu0cZ9keVqOXQ6m2rlupx9NgoxxMAIRjCAOKhAhyWx96+dWRWtCNTagGVXoRg2WXkVOr6Kkr2NEXcWEuoZK5GM09DAWusgLgXwcs8wlMh8LfNsy8Y7SJQiqV0GEJSj6BozK7fij9XtwQahgWS9ixShiRS9gTc9hXcthQ7exohSxEo5iIyijHpTg+gX4XgGxl4PwBz+zKkYDirkONYWoxjJU4zRUcxmKtrn7nLN64qFBKAZnJFKWza52We/sQ+t1taOzjx6cRHHtb1BpGMg7GnwzxkrZR2Pk5WiWf7gnINHZPdbdHZ2tVRRgv7eE/cES5rwl7PMWsc9bwrS7xECVwOq4twwzGg6oOmYZtdwUGqSFmptAM0daqRNwE+3UIE/aqhMIC5PQNINvoCIU/L6V+8Sv4w36P7UO8gExi9858C785at/ZHcPfG+0vRnYm4FNZ2APlO5dHANn4BU33IJbHlzZ9iyRr8UUnDJItXuBav92uR5nk6QGQ9vZ17ht7/QjuMLi8Tvwt//jegTNtu/J8hzwc+/99K7ulR/GiTYoaYImZvGsHSo1Q2vuYIfyowUTBzO+Qdum8TluV88QpASnpZZoFoxG1f7+p9S8DmNfsQVEjZk8g1FliOtldf4ETh8/jun9+zE2d2BX53i7g+1Ec7OfZqfnNCEGBGHa9n6pBnzFhE9SNRFpJlTThk7gMp9HLl9AsVRAuVTEyEgJ46MlTI5VUCoWQRFhP/6bv9KzyYt/4Efx5O95astXsPQRnPEbzL6EyU9wjc2y3Do59N/5K/FWkJXAK/kS5sBsXWVVO7t+YLd7Pjbr//wb78C3uyLQ/vYT5vDq/TvzG7Zb+/VYG+fnP/5/cfSeG1Dg0G4KqpjD85/xy/jlF1111g7VizyGjP0A5I7bu2AowcxzkQge2rrNOaflWmVu02zkdNl2979/EffNdcL/Qwt5PPuZL0vc4ESIopAzu8HhnCnHaVsMEUcttzlcjmOus8yUwWWierEkfd2ZKZ5gCKkSjBQKVC4rUERGxkp7eQIyqb/sJ9dhmY5Bywh2ZsY4F+fiTLdBHDbUYoSa4BxR1oFIA8hlYqwrrSwMBUJXOVOgJsG+Tilok5SKqUMlzUqSpgHVMKCZBsNmXdXbUtWgKzqD6lRqSV2Ca4pWLQG2mrSzbAFrKhOolv3ksqTOfXTC0lKmoJvgNfUFtbWBNsPdFPwmMDf5fJ6AXfnxjS6b933nk7jjvt/vmHKCUb/4nE/gCaUJ7uNSIE7+oNDkzOWkzeM2B17UhE8yKZP0kz5SNrlOfUjGO/KTmdlNYUj4yRB0hCGoCEYhwjGIsILIL0Mk/jE3u55UJUbZaGBUr2JCW8c+ZQX7sYgL4pM4Ep3EESxjVAx//6H7btMa4dwwK1JyeQRa7RS+2bwF/xA/EYE/AtNaw3/BvVi9+Ndx4vCLUs9XUiagXZbbsJ6Oo10nb2MxnKoPpx7Aqfmc3TrlAG5tsF9UzVRhFjQYBQVGHtDzMfRcCD0fQDF9iNhHTB+PBPmtDBALH0gkLRMigIgDCCHL4DZaj9ZJ2+U6aZ0kzvS8D3Fz+N5vjePi4203BwvjLv7t6Yv8/YbAK2VFMaGolA2oiglVTbMBTTVbmQIYUqa2VPOW6qQ1S9q4bc1akzVoSaNWSgu2bsHWTNiahRy16Sa7FSGrE3IzYiRuRlptiUVKti7LbZcmmx0+vTtR0DDHj6QMIkRrJxFXT0KpnoRaOwWjcQpm8xRyzmnkvEUU/GVWVhgmraOIZVHhvCQqcGDiP2tfxpKm4ZihIycELvN8/GvhJXjR2z8yzJB7ffZmYG8GdmEG9kDpLkziY3mI13/kdvzrfV+Hap+UqgpRDkH1yXj2xZPsM7LhR2h4IZqJbPghGl606+ZnDE0ZtmodWqwpgM1C2TZobcNa2aYxfDXpgf1sJzLJC3yEvt+SkR/0aZPL77n5Rjx4+1d79uqK570QE/sP8oM9AUCWqgpVU+UDPOVWWYWiaVhzQiw3Aiw1AizWfJyuBzhd87FQ87k9Jt+rbILYK01Dx+xYHvtHi5gbK+DAeFHmJGgSwe3dSHE9AGmFtv2I1rm8GRNj7dBEQzSVO/Uh+oHrfwo3mg+haYfIexqe4RzEW97zsW0d1vkKN8mvEwXqsXJ5UHR0Krek3VVPlhP8rMcaNiINa4GCZU/BoqtkAlNJ83/6Ox8mlXMGyraOEe+9uPK4j3LDgGfEeGCujvpFb8B/fcr3wTZU5AyNg1JRWcreOj13c5C1HpiaAaxJoLZWkLZM4LYzCcbGkDWBp9mAbJuB1Wz7uYSsnz/5Vbzj5nej1jwGVTHwxJnvw9++oPPFfJjz9ljv49GLTvKSQ64rOspJnds5y75pna79e+/5BTw8t4KYKBdpiXkaphZncfFlb4VphNB1yhE0LeBMZpmKEgCqD4EAseIjEj4iePBSrctNtC9Tzc64S6ubgFoK2hi+dcE6BnBdsC4L4lgfkWFdYsKbADxT1Rk+tTMBp0QzEioIFbE2ZBJYkY2M6X8iZokmobSykBrY0u5DWmOQ5P9YqzpCJGQ9ElRrLZWa04hxfKyOKJnj7DX5xGMlGKECI1RZ4zQrjUiBHqqQUoERqSxZG/PRlMhMnD42qvT7rrJzUK7Txz+2+2Ynx5wFS0hJCqbcJm2vE4VU6QKd+rCCqpBSEZz1B9aRb/Y+C60ckG1qKKCEAloooIaAGgEUmJszE5Gzl7pBrASybTCblgnQBgxqM8v0bL/+69F4O02pVnEL2iZ/O1mAmwW8C40FTN4f8nmhfbUDFSslD960zX8DzaCZ/MXsdI/6r0cgKW/kkdfzfSXCCkK/DM/Lw3VzaLgWag0NG3WwX9Cqu/U5HlfrmMUSZpVlzGIFcySVFa7PKSuYVHoDCbb2VreAXBqpPZHsw7Orrbu+yTTRGX3xW9+Pu40LWj2uCB/Ap//n2XMlQcoFD69QbkjJdVke5B4pZ2odAaVkgCkZaIqssLadCPxyppgKMdzAhZdYCHiBtBCguh/6ifTghTL7lKNEhj78yEfAbSQDKdMcBmieWMIV3+x9D/j2kRruPUiBO8H3b7rfpHLnf23bmwl2X5CAV10haGryM5FG4FYYUEk7VlCmWA06g37KUawjjjREkYYw0hCQDDT4oQo/1BCGKkTcXo/Wpy9CIjMWfyHaJPDwlCI/Eswoq9iHVexTVjGjrLCkPK2swUSvxcWHw1F4d01hqjYJX/dxcv9xfM/Fk3jm2/5jexOz13tvBvZmYMczsAdKdzx1j48V3/WFf8Zff+kUfH+udcCVyW/hjrdev+kE0Atp3SNgGqJJkiCqT2UJVdtwNVtuL5PrSODaPEPwqkBAFyH0OIJGUkhZMoCSLpDXgYImkFdj5FSBnBrDUiKYSgQDMQxBMoRG68Uh1DiEEoVAFABRCBEGiEMCohKCRhkw+li6QnpBLUFaCWZZMryV4JbLWbBLNsfs0I387QvAJ60dMiBsB+GSwRpUaIYOLW9CK5jQixa0ogW9ZPUFxXIbcvvDguSv3/gpvKf4aQZ3aaKX7jec/D5ceeXz2j44O/xyZnxxOg52W3OTA2sxtMzJoFk5G4adg05l24aes7hMQbV024KWZsvkumqZnDXbSEwfCUrILM0bB9RTkJH2Z/PuFGwkYyRtzSDERtPDuuNjw/VRdXxUSbo+apS9gCUBEdVcgjHytZ4/gah5CGH9Mvn2Lt/upb/BpNwtdZU0yjVYmg5D12BqlOljhw6L6yQpG7Con6HD1g3YOkFXA1YUwYpDmKEPPQygBz4034NC2fMgPAex6yJymgiaTXhN0matw6s3+kYhHfZvms6bXSixlqqVuAkYpL16JpD1mg89DQ10auX84IEX4d3PfU/iIiQ1i5WvKyk8To1XpXZNsizxUyZb+vRvmdh2LgtFiDAm/3UR0nK2zu1x2FpGgICXiwh+GMAJkswvchHcMIDH5RDk29IPIymjkHMQBRz0gIJchJHMUUxahUmma5/uz6w5GPG5pOBXyechqFSXn4o4q0lwLLoauY3r0sOlrAML4w24Vqdv4NGagYkNS5o8JxcHzYzEh0lKK0k8P9kqoVXK8dpSzrpcli3LOgGuFHqx9TW30Z+RlK3l1I8ttJPlyXrDXr/nQ78L3DkGtA9ZJxGxPfn2kyZUWEKHSRkGLGHAIqmQNGErJiyFpAVbbeecasNWSfOVNF1t5LUca7zmtTws3ZK/O2nmj5V9cqa91b9f32w/gqPnKN3wh29HdP83UNzf4GCR7pqFpYURXP+Xn9pyD+jvij4WBp7L2XWa8NwGPApC5zbheyQdloHrwnddBL7HZbI2CD3K9LyUygCxT3WSAUQ4nA/uLXd0QAfSeiUtWOIbpAkrNWKlhmyoCwQqAdcYAWU1gq9F3OarkYS2etK3A+C2wWy66SPzBTw4S5YR7TRSM9DIRQh0eV3ztbUZ1NwEdKYAtN+6cWzi9EoV86eXMb+yhvlVCpLkYr4WYb4BzLsG++kdlCwEmIGEOTNI8wqmk/I01mCQZiPdIY0ChFWGsCoQdhnCLMk6Sc7FtjQKANU1k91A0L2Zf4PoXp2V1M7L02VyOWn2ceAbltIPJbX9y3eX8C9+r3XQy+zjuO5QAZoQ0JSIDNPl83wiU8DY2pd0PwbsE7vPGrTvcYyN2MSKsLAS21hBDisih1VQplBexqZTT783o3EdIxHlmsxhFRXOG1Aj+XvW3t/UNdmZ/DVsb12KPv+kkQXkrQheqOH+jTGcdnsDabV+AnWd75nQNAhNhVBVCApOpCqIKCtApAiEBFkV+tsTCJUYIbUpEUKuk4xYRiTVCJEWcjnWI8QqlTsBbT9oS33OxvczqXVOUJYArcGQljVkk0wash2asLqFHGWDPmjYyBsWCghh+y5Mvw535T6ofz2O5vh+mDoFJFNYk9kc+zJ+5v2f394J2+u9NwN7M7DjGdgDpTueusfHij/w+3+Cu1cO9xzsS599Nw6MFqBrApouwyZQ6vYcJbVMpOMqEYbkmZszPQjzwzCHDZR1RHIZ0nbqRw8FZOIQRBB+zFHmqU5R57v7KlEMJRJQUxnH0DbxY3kuzl6UPAjEmspmaKwdkiqEUKRtQRBXQI8ElA0Xrm7wC7sRxfB0afY74joMFLv9f8n9TzRJkoOhB9bW23oa8KQlZf/0JbxV5pdy+cAsfYV11RW5zvma6KWGXjYGS/nyEugCyxUPi6O9voVGayYIepD2FWlcaWwmqbDmDJtYtspKskyaYLaCPSSng88Tf1GPEWvgBz5fj+HrguGsY8ZomvSCRJowtE/xWXloO5/Ol+mUEJouYm04H4Xny76boQYr0GAGUrYyt6swA5U13Ai066xlJbWu1FgCrfZDe6eGRfZhnh7kWfOCtKLSh3x6YadsZF/gwddTS0uDxqeXCNJPJJO9vXROZuDKBwWOLNDLGHD3fgX37N9a6+qc7NgQG+GPUWz2LT9SsS9M/o88ZZJMtEjJ0JhNmVOZ+uSUGqZsEp0xeSbtOe5PkkylyTQ6KVNQEy5rtMyAkUhdo7IBktmyoRv4zBc/gZ8+9sOYDsb5qBqqgz+f/QSe/oLnwQko+FOTtfCGkQTjdzvR8Q/S1NtMg4/ac0aur4Yfwa6zkcgtAQXjCygIH3/8kzJwHdz+73+E8as6P2at3VfBuP3zsPKDA9ycjX3tGJO0j+mjR0guFuh5T34AoQ8jdExSbnN5OlbipuFsHAM9hzhWxNmzBdycwN2z6+zDsTsdWSpjfziOXGwgF5vIRfRhT4eV/O7Q70oLHvJHn5Cfh0ljcEOxUVVyqKoFbCh5VLUCqmoRNb2IqlaEp27tDz4fNVEK6yiFNZZFyhHJJnJxk/2VxxS2TqGssqSgNFxHppwsl33Tfu1yxEHU2uO0yhRULTsmlZO2nnEy2xt03kpo4unlf4apr8MLx3BT9WVwYQ481QRN6cMZHxVJrmfKNAtcl21yGc9ARz9eL9OXx0zHoTBxmTFDRYej2XC0HBpaAXXKujx/1DbwGMM6A9NKUEUl2JAANdhAOarCpPsdP7NL7fNu2X8ZBcgj67IkfNeA9Wk8zW/gVQduxD59rWM3/+rYM3AsmIRC88CKKe18Nv7WzmRMwdCWYK3K0eQZ3mqJpj49Z2mAYNkGr/RMT/A2UKJ2RghfCeEjQKjG/Awn3ajIj698DcRCPhvGAvRdhP6uTbJ4iMCWD2QFYYQat9Ezp85tGkpuCdoF1+F40YWryPvHXFhB/sQy/utf/86ZHP7eunszsDcD25iBPVC6jcl6PHa95vq/wAKGC3QjHxJIa5M0MKUkTU6DZcjambItszxtS9pJ45P7tNZva4HKNrlci+VDyTCJfrxSTYFWuQUnJGTrbW/DixRitPqp9IMnYAUxbJ9MqQTyHuUYBVeg6AqUnBhFByg5QNGhNiA/wPd3zTYxXxnBUfswamYe4+4GjjgP4tDyxjCHeNb7sIYTm+pLkJoC1U3bE+CaLicg5JoKXENIaQKuAXipNGg54FEbZ8HLPF2W/bTNAENHqvvGzgM6FFSBkiZQjxTUz7IZYb+TQw9J9NCkpZIfpCRsI6vAtl+7xL8dx9xNI+3Kh2AZBESaaVJQDfbNSmV6CCT3Evz1nsqUdcAwWPs2G4gkDTySmgqmkIMBSjI+ByPpridtHBmY/bwl/TkysIrF5iL+9cY1VKOLQcEaKLKtpjZw4cW34/kXPJs1D1lvNZYmuKnWa3c5iCLWHCQZsiSNQtImlBqM7UwmvTSOlGzey5oqcjtskpYGW1MyAdpanwfoLLFdc3K6zufPA71X1FMeEBhpSIB3/6yC+THp95CvmsyhtLBe0taN+aQptUxc6rduOlXtXh0alf3Wb29Xljq2m9HGbK3boY45YF8y66b7m46dnsqO9pbJeXKMHKGcZkm+4PC+ZeamdTkAeOZdAS59aATrBZu1TcfrDr58ZQ3HJzT+oMJ/u4m5ugSNBBQTP4sMBHX2uUZgUCN/v7oJkA+3RJKGVazZ7As40CwEqs3Ag8z/gliFF6pwQwV+ALi+gMsScALA8WMEoSKD+lCQHba3prIKQW98qQb3Nn8pKDBjPvEVTm5rUt/jqSyYGvLsT1xr9ZP9+7XJPrTuoPT13/siptc6TTs3zBCXXn8dFEu6oBk2kdloFqiSr9dhIWu/frQ++Y3d7URXIMHXgppHScmjJHIowEaeAJowYRNEi3WY9JId0ws2fWCNoYYRZyUKIMjKJSDpIQp8xKGLOPahaIJ+HqDQSzxlrgtMXL6GtfvL2DhaQhyoyE+4mL56GRsPFxE5GgQFfhIE6yiun1R/TsvpMr6ldvfjetKelEndmftx4ClZlrfj8/9DAz33uaaEnzLHXfWINc3pI2iqIbob14caq1D5a5nFLq+iuIAoKiGMKVJ8HiLKAYkUsazLnIdC0E91oCkuVM4+ZygBVPajECIWhPqyWed64s+h0+IjYwEil7MeftuvQ1qmO2ly39npPWeruWOrsJjeAySIo3cMKptWjJkLfx/uBjAVCCyYCsol4IH7fx0KaSurOkJFQ0iR10km5a22dy6XS1ScWjrILUubBvpzUQm3DtwdHRGbcFtKABs+57ziIQcPNgIJcpNtsFSoTmeyq53rXe2K3LcnKQ/j2bgFt5wYQdDQoFoxnrCvjnXzAnxSPBMBdPjQEZGvUvqdMyxoGn1A06Hp9NEs/U3UYLC/YSV5JlVIJxM6WwG2zy+/65ElXxxBaVn0RQB/OCDtc/qAEvDHE5IxlzMytTIhSevEZ19bPXuSpLUc/Svd18hSuywD+ZE2qsw0C1Q3jf/f3pmASVKU6f/Nurt7umfoOWAYBoaF4ZD7FI9FWOUSFhRFXQERz1VwAUFO+augoAuL4rl4LLCHiicqICI8HtygiCCiCAzXDDPM3WddmfV/vi8isrKO7q7qrqplq9/sJzuzMiMjM38ZGRnxxhdf9OHJbVKIL9yEWDAMIIlCaQDLVm6Fd3/uo51MljwXCcxqAhRKZ/Xjn/rmX3fuNXg2tg16Pfn8+RguZfSjLa3QUsHUwoaXgC+jS0/xEZ/6bM2HSIhoGQuQjJdUD0omSjJGgFkmPSRFH5J9iRKkfqZ6UbwUbpf1TCGHTD6PdC6LTHYcmWwWmdEx9IyNomd0FJnhUfSOjKBneBjJoTHER8YRy03POm68rwdjPRmM9qQxkkljJJ3GUDqFwdXr8W97vB8bMgMhhL3WPYlDC7cju/9+6M8kMbcnhf7epFY2VSDTOob1W6arVoRwAyqFLcQunBVOwmOl9mRPpx9yE6f4isuhgHxQQDY7jvHhMYyPjiM7Po7xbBbZXBb5WBH5uG1NjRWRixVRiPvIp3zkE2IxWUTOtrSKxZvE1Y4p6tg9HZdBQayTd3Xsbn/bwUKky+RDj96Lo1PPYrul5RFJV77Qi58ML8Xhux2CYjGvlUxf3CnIerGAoi/rsiygGMhSBDpZL6IgXY5LspQuxz4K8NXKTzzBmtbnQLsNmaUMgCGWpO0g0do4E6UYZDZeneJm9hLlWazD1EIsWXa6L873E2mkEmm8sD6Le9ZtRrznWR0MwotlgVgBA6O74oj9FxifWL7xh+V8YEka0d+B3R6IIGrSoW7TAQxeXgKmdO2VORHEEJeKbUkEsxjifsQiWdbFv59YJ4vFqfst20Qo943IJuK5Ec49bYgRK2YV01VQN5aAGkfJWDyrL0p4eGHxKty3izRCmDSw8wslLF+bxJYrtzbVLNV/xbrB2JFHLR7MdjmX2p7YLugmvOmSbtfdMgxj460IY+OOnDM8d9U27dIexl2+tvL5IudW8bIcRlQYdw9i4WQqvDH9BjnrJ/0t1k26TSya7G+1YJKufjEE8s2SxoSYXbfbpCFIwmuDkB5rOukP+E/jb4vT2NCf1y/dwo1pLF8zgqHStvB8U5nT7p1qUSONhnZW6xqzblzAiJVJuYKvFX1b2Zdl9eSpe40MYpkMvIxd9siyB15Pj9ne0wNkMvDTGRRklPJUBvlkCtlEGtlkGuPxNMbiKYzE0hiJpzBWLGG0EGCsGGA0b5Yj+UC3yezWZbtpGJueoCVHzYOHufB0OQ8xzPM8LIrHMT8Ww6AX031zSx7mBECfCIBTvOLaXTPhoahdp2N2lsGDYvCT0nsjhkCWMoiQLmWO67rMSJkBhYziGMCL+/A8X0oziKFYXnpmvXI2g6gUgjEUgzEUiqMo5IdRzI+iWBiDX5Q5i8DPqWAZ+HawFangl4o60Ipz+yAihb4HnnQJLiGmQmZE0IyVELOiphM4W5nLr3loAV58sHLAt8y8HHZ5+9OtPM2UcQUlT8fQEtFUR7bXcbPqrU8Wrip8RXxmn4nbrBdLHqQz/FiphPGSh3GvhHF4GEcJ4poz65WXxSaSvuRLqcD6yFVLMQ/ZdB+GU7W+OrdYvx2CQgqFBLSHSTFRgJ8oAPFxHTFdv5nTnJz/Xvlu6LfCtgFG3Xq4QbjEb6rzuzzN0016mDb86nfDzCrF2vy8/DvSQKy9rexvsWDUY2xPHrV7N0KTsYEvL1enRnHSpjHElixHsdCPZGIY+ReewM/m9mNZfm54Xjm/5NPm3Mbqz3371BGQWo2ab6X8lrCyLvm2Lq2rFrcvJu+v5PtqKFKC+W2ERiM9m/1uXZYJ+RaghCR8s9TfVpy0jDSuKrIilD5b2jKcnwvM+jN2W1Hvsv7Uj3FsF1uD7bzaWfxnNjPdddceGNz5FRian0b/SB7xB1bBe9WD2LmvXK5uJr5o2KI4OyslUISdS4aSzpH1QAYbE2puKSRL4n7KbJel+iJFO3t/WQAAIABJREFUwvglFQFSXR5YMbKUgFcSaVZSlPgwlcy3LA+LzbAxxzEW0fJ1MHbH6pwbgadN8Mb9jfrXrlx3+8VtjOxz/rjVF7cX2N+R7VXhpA4RS96O+Y+tweB6D+NpYGTbAEPL/xHnnUkf9NNNXzyOBJolQKG0WWKzLPwFl1yG9cUM0v1ALpbEQHYUz4314aP7LcTcRVshkUojkUrBS6a0xdaPJeF70nJrW2+16hFHzi8Z33OFwC6j625bgFxB/NOVl+IQPVcIkBUfdTVLsSDr/ANJ+wXInCoVkSkFSMNH2ishDfFvGiAj6/q7hIwn+wOkS76GSxZySBdyukypL5oskrkx3NazDDe/7lD4S3p1ZFhvvIj4MyP4zE//Ha/cvCL07yN+fpyvH1k6Xz8ykINUIMWiTIw11DePLm0XXfX143z+BCroiXgny7x0H5FlSZZF9cMlx2pcNp7qde0ybMOU18XfkD3OXoM7Xq4vkRQhLYNkMoNE0i7jZj2e6EEy0YO4/JalrvcgFu9BPGaWsXgvvFgPvFgvYqU0vFLael8IUPRLKASylBGP8yiWCgh8GUm0AN+X0UXFgqKAHTbciBXL87i1dBiGvfmYE2zEG7w7sNdTBTy95dus1ZcTAJNIJJJIJVJI6dLOyZTxiZmI2zmGdDKmg4SZbbI06wnpzlNnyo+PIDc+inx2BPnxUeRysj5m5twY8vkx5PLjKOSzyMtcEEf8WRRk6ZztF62T/YigKMKiiLci3BbkWapwa7sLiXgbF7HWzCLYmnXP/o6h4KVQ9FIISikgEB9iKZTCdeMIX5zaiwN8KVzqqLfWMb72V9LCahxeYkgrH/kNrw3vPt67Aql5v0NxbHt4nnQRKwCyjBV10BtPLF1kqdvMPhkQJ1xqTlKAFFkTQcFaqhdCkdFZ6Dor3dBq11nuhkJk2ZrXCZTi/kIFSSdYytKuhwKmiDhOuLRxNlGHbjijMu0fxvTRec7Qg23POF21ZpKFJHDZsZLnVkZ/wIoSTnhALEiMpbKrpOpSRFg3Wnf1Pjv6tqnYGnHWDSDk3HXImZxwFurWzm+H2VkWtEN/HuHQwip6lv18tD8DF6M1I4w6f2iST4qIKoKp85MmQmpkXfJSEVT1GAkbw89fncFv9jscxfRyFbxS2cdw7O2344C/lcVk4+vU+jytEpXL+5zwWxZ8owJ2KAq7eEKh28VtK/ERwdj4VDUCRFsmbVzz4Il/TikMSINezxx4mX797fcYf4RIzkFM5kQvEvFeJKfoRlrvWuUOfo8iHtGhn4CdEcfBSGBYLKUQR6rFDbKB+LyL5xDEc/AT4iIkhyCRRSk+jpIsE2O6DOJZ3T7VsiR5VpsmIyqa2S/FIJ6FxNekLMXJQNH3UCjGUCx4KBaAYiGm1qI65+MoySwZfz6O9LO9KGZrhZXS0nH4vQWUJONL+fASJfVh6omLJRGW5XcyQDwZ6HZZqvulhIhFZqwpszRCj/ZojSxVSLLhGrcNnhqouEEf8mPYVExgUzGu62aWXiPQeTQoYawUINfEeyINyMlSColSBokgg3iQQSzoQczvgxf0An4fSsU5CGT256AYxHVwmKLMpTgWeS9h9S5PYKh/T5RifYgX12D7NY9g9VNvxpgKOJVTJp7D/MwmDKY3YiD9EuakN6AntRGpxBAS8RHE4mMYLwFjgQi9Tuy16xDBV0Sb6U3SSJEpecgASIvoCzMb+Uk6qoiob56tiPfaquEF2nBv0qDYskpje3ldrkWFamcZqeuhRy5d19+Stm1YY0HpjnNhjaWyfN+1wbEoltXSwCjW1cA/jnjoK5yGsbU7hTfft9Vj2Fz8Gu6XBpKq3gJRv9J1ex/Yb9mkPRQmibOR+CvPG2mOivSUEKFYwsk7o3m8E50j4rO6gJK0ENsCQ958DMfm63JIlrH52Bybj7w3sTsG6QG4hb9B53n+BgwWZX0jtijKunSxl2+2sSofHCrikUOPxo0bX4HNuQEkYwX8w5aP4p1334OnMuu04UfSh1yQGXfOPHlNM5onBKZhSBqKdJY0ZaxVZbvr0mE/OfrblXdq7EPUtsPA0idsw5Y9j1mx2Zal9Dur5SjbMBxud9vMfjs+nq5rcE3jspR0bkRTvyTirXFDoXNJlm6b3I0Iu7Ld2etGwooILAZGclxMjI1Mo6403orFczEuAm8We/z49+jzliM7uC1ihSy2fPpu/ObQPnz4qw9O7wXnUSRAAk0ToFDaILLh4WEUCgUMDg42eER3BPvUlR/Bf8eOweIVq5ApZLFy4WIsWFDAdw8I0L9wKRJJGWQlqV0qrDlE5dJ2C667z5hP1J39oSH4m81cXL8B+XVrUdiwHoWNG1HctBHFoSHkh0cwPjqG8WwO47kCsrkicvEk8jonUIjZ9VgCeVmPJVGIJ1Gwv2U9L+va1dHsl2PNfjOLOGzic2EndsI+kyfub9WD4s5zEVszDk98tmYS8LfpRfrONYiPFpDy8yrOpgNZt0KtXapoG91mw6T8ohF0q44RP0bR8LI/7ZttOgcFU+GWnlXa/K5aGEqmad9s09919kmPyaowJnzJHuehJP5axS+QLFVnMzWr8rIch5zXxGfP7eKJS3xmFpMDGcxE1+uMlhx9Ln8OluGy3OcQXzUGL+ujlI7D37oXZ6Uvxn7xJ5p6hL76EJOCk4fAt5VX28XQ18qsqcRqxVYqs7o0rnj1t3Rf04qu+20qC/pbhpqxFQoNZysOsi5Socxi12akwxgKEXsoWTf2UUYs16XORjQ3rdt2YBjpkK6DxojlmBQGbbVFlmJlFf3t+mFXdOl13Xrj5S6+0qUvtyXGV74T83IjWDS2EaPJDFbOWYjU4F1Izf+tEUStCNoUdAauSyDX+0p48e21mhzP/RGJ/DMtJ1UhuEYFVjuKuhFhI9ZCkTBmdHY7h6OuG+tYJ8Ta+otatkdHZdf6j92ma2F3XaMcu99a9dF9dimWkLZyF8ZpR403omI53vAa3PW4a4iEv/GN78J4z14VXBcM3Y43/ey2su9POwq94WCsis25xCVFrcWgXES1FaHpIl1pWVi9zRxXG85Y1JpeHsYKRrpAmqVa3oqljjRiWmudRNCHZNCHlMx+DzKlHmT8DDJBBr2ltHb97gtSmFNKoF8HRWpe2hpCCZtRwiY7m/VAf9duL+EfvSHcUOqv4CyeBn+i8o2pEEvnYjOb9Z7IuvkdDVP9u/KYzDStZSd6wSRvzYrvYATI2UbInDRCagOWzKYxS3olSMOWL+vSqOfn4QcFBLJd1rWrqDTymQaP8mBkkrubHF38ATpZqiQWq01KZLvOPQhb9+6ARCyFjfk1+POmezFSqPQ92HhGYtzAlN3BlB2yS0OpUR886xVClsYvonaJ1jmJoiflL1sW81LIxhMYEd/e8QKy8QLy8TzyiRyK8Sz8+Bh8FbNHgbjMzVizeSgV+1XcFJGz5PebZdEsPb9PhdBEsRcJP42EF1jrv0DXReJQuzW7bvabMCmviBSKSNp9z229NX6z0z4VGOO+j/fe8zPEvCLisSLi8SIS8QJSiZwuYzFfZ7F2duvhMtxWrN1nj8t7kv58ZBHoPF4KMBZ4dhaRtd66p2NtTmeSXLc3JoOiuqWsV/+O7iuvV7cla9d9GeRRHUWK6xD7W0enM7+dO5GSH4cXiJuIOIZX7YM/rdoPv9xzLUbTnrq8OuqPW2HXZXdjYN7j1npbrEVNOac8mJ/r7m5G0ZOeGrrUb4dxM1DeZn6H+4OYDSfhbVgz2p4NE9kW7o/Gqd6ijdVBycYl3x57fLjN7dOl8Yzvwpjf7jpMXJ4WusvXJPFsQgqrYmk7y3oKq+IprIwlsDk2eTenrf0ilvg+lvhFxOeM4Yf+QmyXLiGTkh5WcawYi+P0LR7F8X/uA6RXRMkMOGXWxbzbN13e7boxIY+GMfsqw9htksfZ8LVhIvHUDWfPaQd0lHNqXDMYeUEfry1iuGXj26QB1iShqY5NiUudv38zrt9xG2Asj2IyiV1jw3jlbffhLd//8XReUx4zywncdttt2GeffbBwYWVPklmOZcrbp1A6BaKxsTGcd955+Mtf/qIht9pqK1x11VWzJqH9w2XX44xffBk7rRkJSV233/549jWHoLeYr/BXKQGkG4K0GkrtUNaltVntj+wIvqaAoiFD7zvGOMq08DnLGlNpdttscNu0W3ZrVfaVqZ3YtIug6SqpXSbVp2Z03e4Lw0hRyRynXS2l6GSdmrvtxsrIdr8Mu2+6bpymS6d2zbT7NK561+CuxS71Tt0gSrIc85G+f50ZoMpOwbwU8gdWZ2jWGqs63dYr4FZsMz+iPvfCKOoWjkObMWsHYJ9N6DHJ/taWWedFya5Pss15XNI0Ehl1Wi9Mr6Oej0izT9NTVRgT2h5jR+Su2mRu0+4b8+fBu89HLF/EYHENNiYWIkgkERwI9CZWmUqnVjilEFe57n7LUqRGV0nVpVZYpXtlVQW2ZMNJ4VxHSTVmEqFVXdjX0Dwb2a9oVES1SrX1Mah2OM7fYMkKk07NDisPzsdYpXCpnczC+Ey8Jr7yOcr+DV0FpSyCangXtkFh4dQ/34KTV9+GZJ8PP+/h7vju+MRB79UW8/IUqM80Y1FqrEl1VhFVhFpndeob61PPLEuylGekx8r28tJYqJptGoeYnjQpIOi7olYQxuJBcxNnBRHZrm97uD0SpvqY0KrChA8T5QTfn0Zd90nF9sXk/8Oq+TtXxLTV2i9hiX+fG0fPvGl1LHmcAO/2TRZuytJE3QCSv5qKnKp/1vNZuO726X7T7c3sk+NsWrbbNL26fTa8i9ccZ8KX44iXz10v/kh8Em9l/OVzmX1J5Hv2RGx9Djs8tUItP1bsuB0wN4ZE9lGtdGslUJciZLl1IWoqa5pWdGm6X2unPu3mGagIJl03VQyzg0CYMLZrqHWPUB4koqT5ievCKusJP445QRp9Mvsp9PkZzAky6PNlW8ZuN9vm+D3oK2VsF1fbDXXqdib185vzssghizxkmdPfWS+LcW8cWU+2ZJH3xpH3cjqbLonlxh73xbBETDdrbRgy3Rx/UDwUeb9yABZ5994Sv6NcvbV5pfq7tMdqo5RYWVpffn5gGpFUHC7FUSglUBA/b4HxoWe++SZ9pr0k0l4cKbuUdZ0RR8aLqRBrxFgz96GEvhJ06YRaDePFWm7xKoJDoZRHMZCeEtLtP7ouLmDK28U9iRPGsihhTJpOxNLM8zAmXcs96V4u5ZcU3hTvw+17HoCHvWHEghz6EvPxoVUbccOLj9mBagrqa17nIG/9xhdCa/6kteo3SwnbmO8/aZjLpoOyz8+U9fEp26wvUPX5KQMiJZuzjUwW0kgVMzqnixlk/LQK/z1+Gj2++HxNo1e2BSl4MvK2am/GmtxYmBvflaZMZ8p1uozFUIhLo7oIunFdF6uvQtxZgNmluPqwVmF+3FiJre2ZC19cPVRNPfkceop5U851lujqkiTy261rXmEt1SuWkmeUB44JrdaDaD5i8hDp7m0GlrHdwoMASfmtLkFsF3Mt2+ThezKQUw6+V0DRy6Ggcx65mHmn87Es8vEsct44crFxZONj0/s8iLVqkEK62GvnPmTCdbett+62lG8aTty0eu5G/Mdh8+HH54Xb4sX1OP3mUQxMMiJ7NA5PxGkpW8jSrsuy+rdu07JFOZyWO2JSBihvrw5j4pLyiYQJ9HjTYyYaT+W565+rgTB1C/v1H9N4sQdrRxfhpbGFeGlsAdaOy3I+Xhqfjw25uTUHbb9TAY9vXx7kd+v161F4KAvfy6l1qFiGhktbRpLGBP3KWlcjWgJV6/LqpdhRmO3WTsL+Nla1ul1sK5yLAmvBLn2crO2Gupuw9hdIiMsi3WfcOIhPVGnIFJtNjUPTvl1K3NK7SFwlqPsjWQbGLZIsA1OO17K8PDoRXfWTL9tE6LUDF2u1t+wLX/JwcRulBgmytOuBLs12Xdd6igmT7x3AH+avx/huW2HtFkmkCiUs/+so7l88iK+dRh+l085wXuYHXnzxxbjvvvvCq5w3bx6OOOIInHzyyUinpx6kb7LbO/LII/Hxj38cr31tuaffyxzHy+LyKJRO8Ri+8Y1v4Oabb8Y111yD3t5efOQjH8HSpUtx6aWXviweYLsv4oq3H4XXDi/A5uWvhZfIwNu8Ekvv+i9c8Nr3YkN60DhG14KhGcHSWAaYAqIUOJ0YWFdbCbuLlvuN1ggE9fq21jlOOUwa1pGKjAwf2VTDsd45quJXuaPuOetsnOLavHEfJ+TXYumCAaSSMjJtL+5YN4o/DsxHKVXHisf0z6287Abu31xzg9cXniISfqK+xo1waOhYGygSNtRxG00Lk4SLDRVwxkPXoGfp32HD4ADmbRpG6dknccWeH0SpX8xbI32/rHqkoqbpG1a5XwVPu71qf80x7X5R2xS/GeXV+Fc0I3iK1YzaqYnkoAO0yVKsaGTQNp1RwPxNI7ikeB0e2vWN+GtqGQb9Efzji9/CtSuOxB3b7YNxpJEtpZH3pNu4HSHX5iHSTdrlJ7Ie5iEzuEcptCc8X+e4zlKYN7MRQk3XMOczUJKQEUCNWOoK/dpNLGYFLPUraOMQf4KRfnQV12xFIjOukh2US+JwXc/0WCuyakXL/pbtcoRYDmoDlOn+ZcLKa1zCWKwXdxYPwtueexRjiX4V3/LDm/Hj/V6No/K/NKMT29GIjX8tEZLsNjfqsBtp2Pngkkaf6KjG9hgzEnF51GP3u2JkZHcu+0yn69tyBo+6bYceesuvsbz3BfQMLtKqTWHli7hzi/3wp4P2aO05tfFEKmHR/MbmQS7PiTSwGOeLLnwkrxLL3Wi4SD6m212eZZdmm83Tyk4dzbaKRp6q/rHTtEKbCJqk820Hn8bRmx7W/OWWgd2xOrsIw9nWWkGoha9r6LCNdkY6tV1Fo+tWtDZCtpN4rT9DNziK82Eo+aQn3ZV1WA4kPbtEDClPfD7LNhFnxfezbEsiJaJsLIG0l0AaCV3PwMw9sTiSUvG31rTG2to2ItsuusY62s6RAcvctvJ+UxnPo4QvLhrDG4ufwLrRLHKxPiwtrcUf48dg/9HjMCSuemKAOBEoSK8EzzM+tqU5UH6rqCg9FCQ/kG1i9bkZ4/Eh5OKbkI0NmfWYzMM652MjOhe95kQ1D3PgeXPgoR/wZB5AyZuDkjcAeHMReP0IMIAgNi8icDr/wvJqOH/DbiBK20jtygkhuLCfrTVKt/15w/6+rX3NuzI268/TtgibxnDbgGQajKINyeKz1zRKuzCVjUwStnx8ZTjTEKWD4lgry1x6O5zz1//AngN/gjcnQDAcw+9G9sWXl5+E+aMjYbjoMTFxE1QS3+JmFitN/bPrIq6Jxar+Dt8r51/b9UowZcCwd0TZc44VvW246HvpejREfH+7smTZkMQZNphWoeh2ZzDgtml5UyabN5gf0R5CpneQCHamHKEqnw1jOKsLBe1ZJGElvnIY494jBj+I4aX0HDy79SIcePcDiI+OI0gn8fSeOwPxNAZXbAyFRBUU5bqt4Fg2jTHvoSsPmWK1HSg2utTbkRzZNbSZu40OdSXudKwJiDa4KQJt4DCVl3JY6UFl6lGm9OZMLFyc1SYa1gjHvqTu2k0Xf1N2E15huc2WI0UYd64ERAh3DeyGp+kBYqpg0gvO1sVcRxi9dhmQ1dxDKpfHDngOvUhhICsirAi4GXhzYzjnrE92Zfbxf+Wmhkf+jA0b7kbgZ9HXtxyLFh3ZsksXoXR0dBQf/ehHIT2Z//jHP+K//uu/sOOOO+Lf/u3fkJDeu9OcKJRODxyF0im4vfOd78QhhxyCD3zgAxry5z//uVqUigmzdjHq8umn770IxX2fQHqb5xGL51EYHsTI48uwz/fubvjOpaVeC9bhUoQQ4/vNiKpOGDHLqNCq+6IjVaoAawaPcn5QzWiW5VlGW1TBVrsdGgsAI+KWBVwXb9Q/jJyn7nYr+sq+dlX8T8R67L/zd9G/7RP6EfULGWx4ahdc+twpGJ3EQXvDD4EBlcDrhu/GYTuuwpxtn0IiMwI/14eR53fA/Y8vwO1zXq1CYIUwaK27KgTDyEAtlWFrRUWx8NBhzqyzfg1vrUPcUj0YRazHjEcjUwmvFCrtIAFV4qULV3PtkXsJ98k2vX474Iy9F90mLeY62IiMOCrXbArM4ZhgWqGM/i7XzkO/T7bSmZ5bwK0H/AMGl69FvHczgkIa2ee3wW4rnkXfH563fiyNlaNa+2o/JKNFh6Mr23UVTtUzqWmUMT4ja8VVM3iPEfnKol7Z+rueIKvh6wi1ZrvJe9y6hps0fBy+WBjF4/ATZi6vJ8xv3W7XkwkUk257Ar6sJ2WAoZhx7CfuKYxDuNrfkff5woe/iB22fQKpgXUI/ATGV2+HP6w9Ctfs3+FWY9dooLUVWyFQq0djhaG+UW3lyS1lu6ZN3SejeFsrS02PdpuM7m3DqfWUby2oZLsKhCZNh3HLfsmpNf1bf6C+tbzSbv+RdZvo9Hh7/eG1RSy7pJ6z85IXsfXiJ5Dc4iW1xM6vW4yXhvfBw0/1qqsL+b5Ze1EVbNSO2Q4EpZZpFb+tGw7Zby0qbXXVVhqtnb4V2d2ASs4y01Qsmw/Tts+AdeqmXaxNK0PZ0Zt2sbbbVOkvr4eVxXAbcPnGq7DFThuQmf+iXm5+aAHWrViIC9PnVDo2NKP+mMaqCuE3si3cV0d8bhuMNkYc4VjBzjrWq7fNVbxN//3yczl7+DL83XZF9G35rF5wYWwA65/cBRcm3gc/LgOdyHskvqaH4HlDiHnD8DCMmDcELxZdDsOLlXsc1b97sd5Mo+SlUPLSCEpboFSai6A0D0GpHyWZMQdBqQ8lr0ftdCWczBV5oc0bNV+sziPbiF2jFqsx4xQWnuQn4TKAV5TfAWIyqJvkYXYpg7z1Lk7ivOe+i8yS5xBL5uCPzcWGZ7fB1QuOhDcsvSLkuYiYa5fa09yKuVLm1F7Z1m2Be85hWCs4RbYbEcqJwfbdq/PbhDFpImxAj26zYpPxZOIasF1YAVIWuxrsZNLWJ/S2J6/HcTv8tOYc//ncKfjFdse29dyzKfJ0Po9P3f9dDOzwV8R7pGzXg9xzO+Cagdfj8Z2WT4jCfGPtt1p7SJR7VBi/6dYK2lpDa/5TYxkd8QGuAye63/JNt4NRqu/W8rdfs8wqv+Fyker71YnaEo8mcdOoIn8VPf5sIViEzPo2IVYItb0pnU9V4ws19C8Urrtel05ArRduNB3DoQ8/hIXLnkdizkaU/CRyq7bBU5u2xPmf5GBO/1vv3Np1t+ORRz5YcfrFWx2PV7yiNc9EhFKxKP70pz8dnuOpp57Caaedhve9731461vfiiAI4Iz48vk89t57b5x//vkQ61OZfv/73+PLX/4yXnzxRcydOxcnnHCCHhcVStevX4+LLroIr3zlK3Hqqadi1apVuPzyy/G3v/0N2267LY4//ngNL5NYs0qYu+66S/d/8pOfxA477PC/9Qg6fl4KpVMgl4Ry5plnhgnmscce098/+MEPNAF2+/TDL74T83a/v+I289l+5O+5CMVizpSVKixKIj9k1e3XL4fdYBcm0moLwuhnqPKTVF+YjoRxBTt7tfqxC6/chCtr2xOcp04cLgrzATWTswyrGW3FBgj3V5w0eq3Oj56Jb2zgP7Fwz7K5vTvnC787Hlvk3mDOqTcT8fJu20XlLt2uqO8d12rqrrj8EKN7bMtqOQJ7f5XnifRur+kebx5nOU5Zc0+70hdQuR03ZDpBV/toEjFd7k1Bpvw8TZe8crjauJ17h/IxJeTjf8B2r/pFzWv7/H1vQKK4n3UT4VKlTTN6b+pJyvK32136Dq+kYndFgcrqh2VH9ZEbdKkimiLLNsSuvbycdstt6BVvkP4oX2PU3tikxnDsaim8aQ0p4trCub3Qzc7q2pzbDBATvbpI6naFzYpXtYTHC+uw+MAbkUxVWg+99OAh2MGvb4FXjqIy5UbTrUlp7sqjKdt0dnZEXBj37E0XXRe+PIp32WmEvqgqdLl0Ze/eVFTV9YM9TvQZTYvOQsEcG43LSHUuBTpBy1pOlJ9EeYCLso2YMWq2BXVzT0Zkc/GLnYJMGibuYbfdL0QyXSlUbH5ybzy18T0aTu/cioC1z9wOsWHhhJRsfuBcobh8x1mzOVU7TNehXYd79617iTDl2A7XVYOoVMTv4nBh7EANxuNG1BWIzQz121JlaRPJqFTklyPDeyunHnP9ZTbmPqJfi+pUBiT2uBX9iypHBN/0zJ7wn3xN5C7LadK9XeV0EN0XvqmR3KOchqLp3B2v2zQdm/fRpVUndLg0og0Nkbtx6ani3VEB1xnJu3ij75V7n0yFUdOhy3/LmMI3Tu81+mzD72Akq410F3G5movKFA/Mr4P2/hZ6F62IHAjkhhfgrnv/xQ6sYWq30VxJ77juJ728XS21nTsfsfzRWxKJ27zJFQN3WLsjsy/yJO0ARe44l25Mg5IZpEhzBj2PeSLOQjWaxiRe6V4a5mYuXmuVWo7Dnb+cztVFQ5gDmKdqtmmLkx3wxZzfiJ3WsssujcuHEp7+u80YWPZYBWe/mMbog4ciHk8jG08iF0upn/bxRBK5eArZmCyND1HZLj5EjR93WaaMX3f1D2+6qec94+s96m6lTvJx2XbkXai4rIof9Y4XHvHARzLwbRdZWfqm26x2LfcR96XxxW6zjSsJ34Q3jYQicAZIFF0Xdd80VPrmGH0FovmoyyPtQGph6STMk0z+tHPfn7Bw/19V3EMh14uVDxyGVf5SU5asKneGn9uKz675Lpug4uSw3L1ey0fa2KrDzBhrN+v2R7t5i1sgsYJTtyCmX4Ha1uk+a50ZcRki+zX9hL48nXWcsfA0eau115MwYjUaikLmnXL5r1s3Fouu54V5L805jIWd5j7OdZe1ujNxlBtojcBkwlc2zpYwtl17L1eBAAAgAElEQVQvkn21gn1heA76nhtzXsD04+0aaMNRpTSTjDbW2o93GFb80bsPelWjrs2gNW8O3V/ac8jxmrXZfdYFjvGdHcl/jQmkCWd915s81Q1yZfzhhzmGDacEnUWmy/etCxL3BTPudJwbsrK4rae0AnrYAOd+u4Y4K5yX98fQO3cpdjr8ViQS+Yo0vfq+I/DXF4e1Mdm5q9AGQh0Y0Vl1u7KQ9VEcujuzDQLWBZqeT61Fy9ft3JoZF7GR+Kx7NYM0sl0bLiPxhvdmw9jGCHdMaDHsLPc1vzTOfCpEWM3fbQOs3ecG3DJGCyaN65AJKgCLKGuEW7Nuvj1qRCFd+yX/loZgaeLXY8RQQR6Njx32vwOZvg0VnDc88lqccOb1E2eQ3NMUgadXXN1U+DVrfoaxscryiUSwdOmpSCQqfatPFvHCBa9Hf//uNUHqCaUSSCxMe3p68JnPfAY33HADrr32WhUvxR2k9HgWv6NXX301nnnmGbz//e/HQQcdhDe/+c36++GHH8Yll1wSCqV77LGHGv8tWbIE//qv/6rX8Pa3vx0777wzTjzxRD3mC1/4gp5jm222wWGHHaZhDj30UCxevFhdAWy99dZNcfu/HJhC6SRPT1T9ww8/HBdeeKEmEJmefPJJfOhDH8L111+vCUXMort5evaJM9E3/7maWxwfWYBSsZmBjaqKt1HNcFKAExarK4+qEmqm90wqzxVGWRF3vZgbvMbqQyMKcyI9gkQyVxN5PtuHoFg93MQU55vwemd2nU78nBKHKfI19ghqImvsuNprqHNcnQuNJfKIJ2o5+8UUgmKlX7y6NxDGWRaDG+PhYpv4PZgcWGNcJI7KdNv4cZXnn1kakwpWLC42dVWxymAMQb2uI1FhvrGkY0I1f51lKbSZ81Sdq7mHHl5nQ+9QS/IymxJCl8aRSBVZpapUqV9Gw5bXnbhVxl4JQSt/4WTXw8dTKUNWPrZyWCcHVcQTiSN8CnXuwV1XxXXqAdUPy15LTRyVYcNrsYpc79zVNQkmCOLIDi2qTuU1GMobaq4u8igmS8vlfbUdWSY5blI/dVW0G0p3te9pdQqpgBHJLyd+25wYYkLIt9AIJ5VTIddX+SwjYSb8HjT5LQwtgSa82Mh1TcKr6s2ofN0q4q7/PZg6j5osv6x9i8qveyPfAyvQ1H2Xq+8s2npZBdt1hdV4avODMPpII5bZFg1bTaLO+erlcaGq784SyX8myacqyE3gB8rklbV5imuPqthXApK9m5FM1Q40lRubp1ZiTkC0o9pVWZ1ZATzi+1/vJBQUrUDZhD/Kid9D7ulmAkactc0+dkAq8812gx7KIFnR365h2PnLN7+lDJ3u2VyDKp/rQ3F8oJsRdvTevHgBPf3ras45snYZlu1yVUevpdMn22uvykEz23n+Bx48DsPDf2rnKerGfeABP2lKKP385z+P3/3ud/if//kftfAUi06x7JRJejhfccUV+P73v6/d9G+99VbcdNNNNb2exfDvrLPOwne+8x019HNd+cUnqgi0IsLOmTNH45T1o446CieddJIKpbL/4IMP7jinl8MJKZRO8RRcwhIFXaZqi9Jzzjnn5fAc23YNB7/qAfRtsbJt8TNiEiABEiABEiABEiABEiCB6RGIilyTrkcsD0PrcyechaKZtaWu2m7ENmvp1+p1G68ZyLJSpDPWldXbo2E89A+sxbbbPloD75ln9sboyGA4yGzZwtX2clB/k27ditDWutUJ0lFxuno97EYdPaah4ytF8AnPUWNtW7a8rRTN628Pu3dPL1nxqJcZgbGNS/Cbew98mV1Vay/nyiuvbG2Ek8S2YsUXI/0hpz7t/5ZF6dlnn63j5Mj4OEcffTTe85734C1veYtesHSbP+WUU/ClL31JrUBl+tznPldzM64rve/72nV/2TIzIJv0kBarVLEwjU4y6JN09xehVOLbd999pwbUhSEolE7xUMVHqViTiimzTLPNR+mP/uN4zF1WazW76uHXIx+IMyUD0LSvN21mFaFfZZcyleFDzf4Gzz1hvNUWD1PaqlXctzU6qp+aproXeBiYvx6Dy2u73r/0+yMwVohY4NWNK2oB5gLItkmvyl7rJPZAU153k8+8XnwV2yZ6htUHThCugeudO28zBvf8dc1z2vjY32PTuvkNPr+odVzlIQ2lwjpDmk96542m9QbuP/q2Tvk9myqtTWLP2dc/hi1feXPNKTat2A8bnvy7KU9dP0BVLtPw/Ups2ne+HO2UabHeFTT0dCc/RySPbPbyq5+dXE0McSw54vtIVFlJb3x+T2x8dNdIHjWBBZpWwiQm051X71D/VVvO1Vq+TW41V/FhqOjWXhO/nrM6/mo6lddvzi0V3OhzsvcSbjNxNHpPtVaMledctN/dSFRZhmVH5mPDo3vX/Y5VpKDwdiZOQ/Ut1arTYYX/kQneo/K3rH4am+I9qPcdr8qnJ0y7uqPePUa+SxMc7J7WvN0fxcDCZyrubWR4ITY8eFBt3HXzxjrftIa+M9FkP8m7bru6Tp6JTfWcpipvVJ2/6W+AOb4uavuM5r3iCQxu//uK28hl5+DFO45DoF2ybQw171j0MVS/Y1VUqt7rShcJtowSZjy1+U7Nl7ZePmGvr+KOq/KAckYQud56+Y7xxxGZKq2dK/PF2jyq0iLZ7O9buhIDSx6vSS7rH34dcmM9auXnREDj38IIguoexwmGke3RsDIQkRMvJ0+PbdrrPh8VxCb6Mb1rqD5FbZp2+X4f0nv9CosXPxGeaOXKXVF85GCUMFpz8vAx166Uw9bNBupsrNo0Se5RcR2NhqtHrqnyQ0S4LVsjly2TK3xlWj+bNX4zrWCb7NuEwT1qx6gYen43ZFdvU/X+VLzc5ddwekmhM0c1B7Zt1+TFs1iwb6XLDjnZ0HO7483v/knbzsuIJyewbt0d+OMjZswaNy1efDxesWv7fJQ+/fTT+PCHP6zzscceq93k999/f3zsYx/TS7jnnnvwiU98Qq1NpbfzAw88oNal1ZMIpa9+9auxevVqrFmzBt/85jexxRZb4Fe/+pUKoWKFWm+wKAql0r+c04QEvv71r+OWW26BLEXNP/3002fVqPdfvfx8LNnpHsyxVqVBkMCmvx6EE06jj5RWvjYrn3gcd/72EsxZ/DiSyRyy2TkYX7EP3nHG11t5GsYF4KfXvgl925UtD0af3w3HnlI7CABhzYzAj697EwYiFh5jm7bCAE7D645/58wi5tEVBG648p/Rt8v96Okd0u2b1m6P8Yf2xkmf61yr/Gx4JD/4/KmYt+ddxtefjP5d6MH6h16Nd17APLqVz//acy9A3z6/x8DgSmU9tHlLZB89ECdfYnxpcWoNga+d93Es3P1R9C18GrFYEWMj85F7/EC846Lu7tbZGnqNx/LbH30bm72vIOq6Y+jZPfHmU3/ceCQM2RCBr110BdZlNiGVyiKf78Gi8Xn44GXd3euvITAtDnTj9cegf2lZ/B/bsAT/cNRP0ddnBpPh1BoCP/r62zB3x3JjljTMxtafiKNOPaM1J2As0yIwPPI4Nm64G34wbka9X9ieUe+HhobwyCOPaHf63XbbTcVMGatFLEd/+ctfqnWp+CiVgZ9kcCYRSu+9914VTcXi9LjjjtMBnWQQJrE4dYM5iWXoBz9oBqQSS9JCoaDiq3StlzF4ZLr//vt1u7ifpFBKoXTSF2VkZATnnnuujvQl06JFiyC+ImQ5m6ZrPnMeZBz5IDkH7z/3U7Pp1jt6r9eefRG8UgKlRAGn/utlHT33bDrZdeeeg2Q8h0IpjXd/loJSu5799Z+7APHSEIqlFN59wefbdZpZH+8tl1+KDRtH4AUeTrzys7OeR7sA3PHd67D66fvVUu/Ik8/HgqXbtetUszredc8/j59cdY0ONrLswD3w+ne8bVbzaOfNX3P2/0Os5CGzfHuc/KF3t/NUszru/7z0I4jFC4A3gJMuoOjfrsRw3eVfRGHzCFJbDOCU805v12lmfbzf+8Y5yG98CV4yjRPP+sas59EuAPfc+G0885e7EIv34h0fY12lXZxfLvGKL1DxGSpTPB7H4OAg3vCGN6hf0mTSjAszNjamY+eIK0iZBgYGVETdcccd9bd0v//2t78d3tIxxxyDM844Q4VSif81r3kNNm7cqN3qRcv6yle+ogM+iV9SEWfduaW7v4ikMsugT/vss8/LBVNHr4Nd7xvEvXnzZuTzeR1ZbDZOxWIR4+Pj6O9vfFS32chppvccBAGGh4fV0TKn9hKQD4V0O+DUXgLy4e3r69OPPqf2EZBGvXQ6HRam2nem2R2zFFIlLQtrTu0jkMvlIL60pCcPp/YREKsRYe0GcWjfmWZ3zJKWR0dHtVLLqb0EWLZrL18Xu9SLpU4Yi8k47pzaRUDqhDLieb1u0e06J+N9+ROQ9y+bzWLLLbesuVjREtauXat13FSqgYGKbQwSp5QJ5s+fXzMY1MufSHuukEJpe7h2XawUSjvzSCmUdoaznIWF6c6wplDaGc4USjvDmUJpZzhTKO0MZwqlneFMobQznFm26xxnCqWdYU2htDOceRYSqEeAQinTRUMEKJQ2hGnGgSiUzhhhwxFQKG0Y1YwCUiidEb6GD6ZQ2jCqGQWkUDojfA0fTKG0YVQzCkihdEb4Gj6YQmnDqGYckGW7GSNsKAIKpQ1hmnEgCqUzRsgISGDaBCiUThvd7DqQQmlnnjeF0s5wlrOwMN0Z1hRKO8OZQmlnOFMo7QxnCqWd4UyhtDOcKZR2hjPLdp3jTKG0M6wplHaGM89CAvUIUChlumiIAIXShjDNOBCF0hkjbDgCCqUNo5pRQAqlM8LX8MEUShtGNaOAFEpnhK/hgymUNoxqRgEplM4IX8MHUyhtGNWMA7JsN2OEDUVAobQhTDMORKF0xggZAQlMmwCF0mmjm10HUijtzPOmUNoZznIWFqY7w5pCaWc4UyjtDGcKpZ3hTKG0M5wplHaGM4XSznBm2a5znCmUdoY1hdLOcOZZSKAeAQqlTBcNEaBQ2hCmGQeiUDpjhA1HQKG0YVQzCkihdEb4Gj6YQmnDqGYUkELpjPA1fDCF0oZRzSgghdIZ4Wv4YAqlDaOacUCW7WaMsKEIKJQ2hGnGgSiUzhghIyCBaROgUDptdLPrQAqlnXneFEo7w1nOwsJ0Z1hTKO0MZwqlneFMobQznCmUdoYzhdLOcKZQ2hnOLNt1jjOF0s6wplDaGc48CwnUI0ChlOmiIQIUShvCNONAFEpnjLDhCCiUNoxqRgEplM4IX8MHUyhtGNWMAlIonRG+hg+mUNowqhkFpFA6I3wNH0yhtGFUMw7Ist2METYUAYXShjDNOBCF0hkjZAQkMG0CFEqnjY4HkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJdAsBCqXd8iR5HyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAtMmQKF02uh4IAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQLcQoFDaLU+yA/chfkoTiUQHzjQ7T1EqlbB+/Xokk0nMnTt3dkLo0F2LP0fnx2rOnDkdOitPQwIk0A0EJP8Q37uLFy+G53ndcEu8h1lKQMp1Uu7YcsstZymBzty25Bmjo6NYtGgR84wWIxf/r7FYrC7XfD6vZT1ynzl0qaPILKzrTawjzpyxxCCMJU3Xq2+LX9hsNsv8ujWoGQsJTEmAQumUiBhACDz33HN473vfi+uvvx5bb701obSYwD333INLLrlEP44yLV26FGeddRb22GOPFp9pdkcnA7Gceuqp2LBhQwjida97HS688MIJC3+zm9jM7/6FF17A+973Phx22GE4++yzZx4hY6gg8NnPfhZ33HFHxbYlS5bguuuuI6kWE/j1r3+NL33pSyqSyvSVr3wFO+20U4vPMrujO/rooyHiRvX01a9+FcuXL5/dcFp491LWuOyyy3DfffdprJlMRr+NxxxzTAvPwqgkLV988cV46KGHFEZPTw8+85nPsGzXoqQxPj6Od73rXTj55JNx7LHHhrGK2CR5xo033qjbUqmUct97771bdObZFY3w/MQnPqE3LXWV6ol1xNalh5/+9Kf45je/CVm6ae3atfjnf/7nsOwxb968mjTfuitgTCRAAo4AhVKmhSkJSAFk9erVGo5C6ZS4phVAKitr1qzBIYccoq2Fl156KYIg0IIep9YREKuOa6+9Fm9605sgYtKdd96JT3/60xCxab/99mvdiRiTEpDROt/znvdg06ZNOPLIIymUtiFdXH755Vi5ciXOOeecMHYRPbbaaqs2nG32RvmrX/1KhaU3vvGNmn9IRUU4i/DBqXUEnn/++bDBUGL985//jM9//vP47//+b1rRtA4zvv/97+Nb3/oWvv3tb2NwcBA/+tGP8PWvf12Xvb29LTzT7I7qpptuwte+9jVcccUV2qgi5Y2HH34YN9xwA9Lp9OyGM8O7F6a33XabxvKRj3ykQij9wx/+gHPPPVfLdnvuuSeuvvpq/Pa3v8VPfvITWvQ2yf3nP/85vvzlL2sD1qte9aoaoZR1xCaBThD82WefxRlnnKGW51KuiAqlL730En784x/juOOOQ19fn9bFJW+RbSyDtIY/YyGBegQolDJdTElABDwRSqUiTqF0SlwtCSCFOSmY3HrrrYjH4y2Jk5HUEnjyySfxoQ99SAVpWiu1NoVINyypvEiXThFMxRKdFqWtZSyxiVAq3bGkQsipPQTEmuYd73gHtt9+e3JuD+IJY5X8ecGCBdp4yKl1BKR8cfvtt4eC3TPPPIP3v//92pC4zTbbtO5Eszymd7/73Wo96r590pvl7W9/u4r/u++++yynM7Pbly71uVwOH/jAB7TXStSi9Morr8QTTzyh4r9MIjSdeOKJ+MIXvoDddtttZieeZUdLTyzpRSFpVsT9aotS1hFbkyCkzLxu3TrNl7/3ve9VCKXVZ5AGRTFCoJFHa9gzFhKYiACFUqaNhgjIh/Ckk06iUNoQrZkHOv/889XdgVh7cGo9ASlkSEFEXB6IFa8IepxaS0Cs71asWKEitKRnCqWt5etiE6H03nvv1Uq3WDkeeuihOOCAA9pzslkaqxM3dtllF0hlRqz+xQJdKudiVcqpPQQeeOABXHTRRSx3tAGvCKOnnXYaxEf3Kaecgl/84hdqmcQGl9bCFnFu//33V1dKbhI3NB/72Mdw+OGHt/ZkszQ2sfAX0SgqlApf8fX/8Y9/vIK7uFmSbySn5gmIQCrfv3pd71lHbJ7nREfccsst+Pd///dJhdIf/vCHGkYs06VHACcSIIH2EKBQ2h6uXRcrP4Kde6TS3UL84H3yk5/Ea17zms6deBad6bHHHsM3vvEN/O1vf8M+++yjvpdkEC1OrSEgAr8I0eInU8Q7saahUNoattWxSH4hgrQIdtJNWeaPfvSjOOqoo9pzwlkYqzCVLnGSH0vXQ7GukW7LBx10kObTnFpPQKx4pXFWrPGkoYVTawmIb0fhKkvpMSRL6aosIh6n1hEQC135Hv7TP/2TDv726KOP4pe//CWF0tYhVlco1UKp+HPccccdK1zSiPuf008/nX54p8meQuk0wTV52FRCqVhK/8u//AvEnzeNPJqEy+Ak0CQBCqVNAputwSmUdubJ33XXXfjUpz6lA2dJV09O7SUgXZalG5wUqqWwzak1BISl+MiUrsoyicWj+L2TgbM++MEPtuYkjKUuARE/JF2LXzxOrSHghNKo9cYPfvADHXBB/Ldx5PvWcI7GIr4HxQehiEwLFy5s/QlmeYxXXXUV/vSnP6ngL6K0NGp95zvf4QBlLU4Xwva73/0ufvOb32jM8l28++672fW+hZwnsiiVRlqxSHeTNALQonT64CmUTp9dM0dOJpTK4Kgf/vCHseuuu6rbpVgs1kzUDEsCJNAkAQqlTQKbrcEplLb/yUuFWyov4pPt+OOPb/8JeQYl8Ja3vAVHHHGE+rni1BoCUuF2I4NLjCJ69Pf3K2exrOHUPgLiR+yRRx5RX4OcWkNAhOe3vvWtEL93e+21l0Yq4oeITJK2KZS2hrOLRbp3SgPWwQcfrJa8nFpPQLqER611RdCTruBimcc8uvW8XYzXXHONDsDCQVhax7ieUCp5tfigl+7JMrk6DH2UTp87hdLps2vmyImEUukBd+aZZ6rbH+kFx/ErmqHKsCQwPQIUSqfHbVYdJZWWF198UQvQ0l1ZHP0nEolZxaDdN3vjjTeqJYd0NXz9618fnk58z3AE2tbRl5FQxTpMLAvE2uBnP/uZFqTFnyb9OraOc3VM7HrfPrbSuCK+2ZYtW4bHH39cu3RKxVGspDm1joA0YImYJLxlwIULLrhALR2l4s2ptQScta5Y8IqfQU6tJyAuIx588EG1PF+6dKkK/iIucTCn1rKWPEPyC2kovP/++9UKTIRo8QvLaWYEfN9HEAQ44YQTlOcxxxwTulB66KGHcN5556nPXWnckgbEO++8k6PeTwO5MBbWMqCeLCXvkDqgayBkHXEaUOscInmFsBShVBphxQ+pWIyKIPqXv/xFu9mLqzBZOvZSP6SP0tbwZywkUI8AhVKmiykJiF8f+Ti6KZVK4eabb57yOAZonIC01EohrnoSsUMsHjm1hoBY2onAkc/nwwhFnGalpTV8J4qFQmn7+IplmIzo66YDDzwQF198MQcZajFyGQBOKt5r167VmEWYlgYWdgtvLWgZxVp6VBx33HG08m8t2orYZMTwq6++Gvfdd59ul8q2uPuJDojTxtPPmqhlxHBJyzJJ2fld73qXWktzmjkBKVdImS46ySj34vJHRKcvfvGLuOmmm3S3iE2SX++7774zP/Esi8H1nojetrhQkl4WMrGO2JoEIRaj0q0+Oon1qIj9Ip6K2F89uf2tuQLGQgIkUE2AQinTBAmQwKwiIAVoqSSOjo7q4Aq0jp5Vj78rb3Z4eBgyMvuiRYt05GpO7SMgorTkGbTiaB9jxtw5AmLBJBaP4juTU3sIyGBZMljk/Pnz23MCxjohgWw2q99GKevRRQoTCgmQAAmQQDMEKJQ2Q4thSYAESIAESIAESIAESIAESIAESIAESIAESIAEupIAhdKufKy8KRIgARIgARIgARIgARIgARIgARIgARIgARIggWYIUChthhbDkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJdCUBCqVd+Vh5UyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAs0QoFDaDC2GJQESIAESIAESIAESIAESIAESIAESIAESIAES6EoCFEq78rHypkiABEiABEiABEiABEiABEiABEiABEiABEiABJohQKG0GVoMSwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk0JUEKJR25WPlTZEACZAACZAACZAACZAACZAACZAACZAACZAACTRDgEJpM7QYlgRIgARIgARIgARIgARIgARIgARIgARIgARIoCsJUCjtysfKmyIBEiABEiABEiABEiABEiABEiABEiABEiABEmiGAIXSZmgxLAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQFcSoFDalY+VN0UCJEACJEACJEACJEACJEACJEACJEACJEACJNAMAQqlzdBiWBIgARIgARIgARIgARIgARIgARIgARIgARIgga4kQKG0Kx8rb4oESIAESIAESIAESIAESIAESIAESIAESIAESKAZAhRKm6HFsCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAl1JgEJpVz5W3hQJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEAzBCiUNkOLYUmABEiABEiABEiABEiABEiABEiABEiABEiABLqSAIXSrnysvCkSIAESIAESIAESIAESIAESIAESIAESIAESIIFmCFAobYYWw5IACZAACZAACZAACZAACZAACZAACZAACZAACXQlAQqlXflYeVMkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQALNEKBQ2gwthiUBEiABEiABEiABEiABEiABEiABEiABEiABEuhKAhRKu/Kx8qZIgARIgARIgARIgARIgARIgARIgARIgARIgASaIUChtBlaDEsCJEACJEACJEACJEACJEACJEACJEACJEACJNCVBCiUduVj5U2RAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAk0Q4BCaTO0GJYESIAESIAESIAESIAESIAESIAESIAESIAESKArCVAo7crHypsiARIgARIgARIgARIgARIgARIgARIgARIgARJohgCF0mZoMSwJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEBXEqBQ2pWPlTdFAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQDAEKpc3QYlgSIAESIAESIAESIAESIAESIAESIAESIAESIIGuJEChtCsfK2+KBEiABEiABEiABEiABEiABEiABEiABEiABEigGQIUSpuhxbAkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJdSYBCaVc+Vt4UCZAACZAACZAACZAACZAACZAACZAACZAACZBAMwQolDZDi2FJgARIgARIgARIgARIgARIgARIgARIgARIgAS6kgCF0q58rLwpEiABEiABEiABEiABEiABEiABEiABEiABEiCBZghQKG2GFsOSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAl0JQEKpV35WHlTJEACJEACJEACJEACJEACJEACJEACJEACJEACzRCgUNoMLYYlARIgARIgARIgARIgARIgARIgARIgARIgARLoSgIUSrvysfKmSIAESIAESIAESIAESIAESIAESIAESIAESIAEmiFAobQZWgxLAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiTQlQQolHblY+VNkR9DOvUAAAPMSURBVAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJNEOAQmkztBiWBEiABEiABEiABEiABEiABEiABEiABEiABEigKwlQKO3Kx8qbIgESIAESIAESIAESIAESIAESIAESIAESIAESaIYAhdJmaDEsCZAACZAACZAACZAACZAACZAACZAACZAACZBAVxKgUNqVj5U3RQIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk0AwBCqXN0GJYEiABEiABEiABEiABEiABEiABEiABEiABEiCBriRAobQrHytvigRIgARIgARIgARIgARIgARIgARIgARIgARIoBkCFEqbocWwJEACJEACJEACJEACJEACJEACJEACJEACJEACXUmAQmlXPlbeFAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQDMEKJQ2Q4thSYAESIAESIAESIAESIAESIAESIAESIAESIAEupIAhdKufKy8KRIgARIgARIgARIgARIgARIgARIgARIgARIggWYIUChthhbDkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJdCUBCqVd+Vh5UyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAs0QoFDaDC2GJQESIAESIAESIAESIAESIAESIAESIAESIAES6EoCFEq78rHypkiABEiABEiABEiABEiABEiABEiABEiABEiABJohQKG0GVoMSwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk0JUEKJR25WPlTZEACZAACZAACZAACZAACZAACZAACZAACZAACTRDgEJpM7QYlgRIgARIgARIgARIgARIgARIgARIgARIgARIoCsJUCjtysfKmyIBEiABEiABEiABEiABEiABEiABEiABEiABEmiGAIXSZmgxLAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQFcSoFDalY+VN0UCJEACJEACJEACJEACJEACJEACJEACJEACJNAMAQqlzdBiWBIgARIgARIgARIgARIgARIgARIgARIgARIgga4kQKG0Kx8rb4oESIAESIAESIAESIAESIAESIAESIAESIAESKAZAhRKm6HFsCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAl1JgEJpVz5W3hQJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEAzBCiUNkOLYUmABEiABEiABEiABEiABEiABEiABEiABEiABLqSAIXSrnysvCkSIAESIAESIAESIAESIAESIAESIAESIAESIIFmCPx/E2R/rZEZ74IAAAAASUVORK5CYII=" }, - "execution_count": 12, + "execution_count": 9, "metadata": {}, "output_type": "execute_result" } @@ -14523,7 +12601,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -14532,7 +12610,7 @@ "data": [ { "mode": "scatter", - "name": "DCloud", + "name": "Cloudbees", "x": [ "1", "2", @@ -14548,22 +12626,23 @@ "12" ], "y": [ - null, - null, - 0, - null, - null, - 0, - null, - null, - null, - null, - 2672.6 + 439.41, + 457.11, + 483.05, + 463.47, + 413.73, + 887.44, + 635.01, + 589.01, + 579.69, + 474.88, + 636.4, + 574.66 ] }, { "mode": "scatter", - "name": "Cloudbees", + "name": "Segment", "x": [ "1", "2", @@ -14579,23 +12658,23 @@ "12" ], "y": [ - 417.08, - 447.2, - 483.59, - 457.96, - 415.11, - 433.01, - 622.85, - 544.98, - 584.82, - 473.88, - 613.36, - 574.66 + 416.21, + 320.28, + 154.22, + 190.45, + 92.18, + 92.04, + 578.25, + 266.29, + 187.96, + 170.57, + 674.87, + 551.32 ] }, { "mode": "scatter", - "name": "Segment", 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aldOnC/FSH9PSWtGsicsVKe7PPvusrBikY+z3aiv/Lf389nP7kpLpWlIr9k8l2VXOOeeckHAWa91bMhVlfkhb3VvRjFMSVp/HIvbx/zIe434luZ/LeIh7RuRzlLmi/iezUEWJ3Zjw1zNl6tSpwRCRqaV2FLeO1zX17ds3nBNnCsSY9BzRvRGNEs2wicn8PffcMyS043XrnFLutWga6Hjd4zKCZDipjbpmiMWYSuGrvV2ef/75cIquQdepPplvkhbqX7mfxVjjfaPvYt/feuut7eCDD65VhYwtGYJKvku3/KLl4EoxPWQiKGb1mXI2PS+kn54F8V6RMSBjMM6CyZ8ppeeAjBmZJHqeFSvx+RK/V6ziHO8lPe/0DMv/XPdu3GA96+eF7v877rhjnueCnq1Dhw4Npkf+/aafTXo+6Rlfbt+or+/wPQQgAAEIQAACECiFAKZHKZQ4BgIQgAAEIACBTAkoea8kjRK5elu0vhKTkJqdoLdq9Za9SlzeRG/ca38QFRkUesM2NzGmN7f1Bu5qq61WM3ugnDpjYnPYsGHBZIjl5JNPthdffLHGdFESVm94K/mmt14XXHDBcGg0YvSWrpJidZVCpocSXlqTXslzGSpxmRglk3QdSnwrUajr1kwCJaOUoI2zaJSM1ywBmQZK3inRqBJnjzTE9Cj1Wp977jk77bTTwtvxSqrGIk2UCFTcdS1vpWtRElmzd+IsECVxNSNA58ZEXyGmerP6T3/6U5gtoDf045vXeltbb9rnmmXlmh5qb6WVVgoJP72ZLt5KqOstZ3GOCVUZTmr77bffrkmW13W9hUyPuLm9Er+6FhUlPmOfV8JcCe5y+nSxPqjl5JRYFjvNzoil3Bh0nhKiml2hvXo0uyYaAPltywTTtchckKEQj9Pb6pdcckkwSJW8P+CAA8K9pb4Q3x6Py+TlPgNiElaaql4ZpJr5cOCBB4amZVrJeNLn0kWGgGaL6dmiEjnqGaK+EmdsaLaTkr+5iVwl73Vc7kwTJYllwqiNXXbZJdQZk+bqM3oG6Bo1M0DXJBPmvPPOq3mu5Zsepd5rmpHzwAMPhNkSmimkov6nmRR6Zsh4KlbK4StDQrNnHnrooZDob0hR4l+G5sYbb1wzSyQ+p2T2yfTLLfFZq/NyZ9DEY0o1PXLr1GwpGRG5+4QUu5aon2YvyEzWcyfO7FAfivemZrPJQMv9WaM6NfNDJpYMzdzZWfntRdNDpoaeG7qH9NyKprc+1x4pMrX1ufqZ+ptiijNnyr1XS/m5Wt/yVjI99GzSz3SZjzI9dB/K+NAsytxZhw3pL5wDAQhAAAIQgAAEyiWA6VEuMY6HAAQgAAEIQKDRBGKyXoms3/72t/XWF5OQMhS0pFEsMWGpOlRXbtGyT0rkKRmjJVC0RrwSVUoeqZRap5KGSswpISvzIjd5k78httqQ0aAEmJaYikVvrSsJqbd0dUxdJZoeSo4qkarZCroOldzrz41LSe/cuJQYVPIzJq61nJJmBuTzVjJUydaGmB6lXmtcj19vg8v0KLQhdl0mgEwmJfhzZ+nU22H+/wFKuCvpJoNEb+HHUmgj83JNj0JL8MT6pY0MHcUt/WS86C31eA3lmB6KX9ehxKTeJs8t0fRTsl5J+1L7dF38CpkeDYlB96n6ayklmqC5/TD/vGg4aMaR7sdYYpI49y3/Yhsra7kqXYuS67lFs3M0s0izmOp6Nsi4UWJXz4L8mVAyaGRefPXVV8Fg0X5FuQn9YntC6Hmhe0n3vXRWyTc9Sr3XYmJaMYplOTMZyuHbWNMjPhNkvmpmUbw34ybmuWZR1CkamDLACpk39ZkeOl/PYf0M0P2n+zHOnpAhoaX+6irF9NPsN/VJLWEnc1f3vp71uaazTFoZbepjWpqqrr2oYn/ON030LNGzMH/GVDQM48/Ahtyrpfxcrc/0kMmhPp9b4s+dupawLOX5wDEQgAAEIAABCECgIQQwPRpCjXMgAAEIQAACEGgUgbFjx4YEY+4byXVVWCyZq0Sj3ghed911w34KKjI79O/XXnttnipLMT3y64z/1+wSGQS5JT95rqSXZjYUK/mb9hY6Lpoe+d9piSjNeoglxlUXt7ikjdZsVxJOCbfcN9IbY3qUeq16G1ozMuIyUDILtDSREoNxNk5dJkDcWFvXqSVpZAYpwa/9WepKHir5rMR7oSVvsjA98pOSUQcx1Rv38Xpz9YlLKJVjehRLdqreqF9cCquc+6RYvylkemQRQ139NM680XNB5lihEo+56qqrwtJNuSX277gcVDHTQ7NB9HzIT87qfC07Fs2QYhzVpuqQkRX3oZAhqSWfcpfyirHlzuwqljSXOan+krv8VL7pUeq99u677wazQ0UzAlZeeeWwr4Luv/o2HC+Hb2NMD5mvSoar5JsNcSm73KXdIssYn1jpGZBf6jM9CvWpOCNHzyPpU1cppp/6k55luSZoNLLi7KN4XfnP8ELtFTM9ZNxrnxyZM+IWS3zORTMki3u10M/Vhpgesd+Kc7FZXnVC50sIQAACEIAABCDQCAKYHo2Ax6kQgAAEIAABCDSMgDajVRIp903oumoqloSMG6Lnmh4xYaglhrbbbruw5JDeJNbSVEr41zfTI79Ovb2tpaW0hr+W3skt+cnzuKyI2o1LUOUerz0S9FZ5XSV/eStt7qz14ZXEVPtxiae4RryMgzhLIb9eJTx1/XHGQ/4yI40xPcq5VhkuWpLomWeeCfsLxBKXZKnLBNCxMpKUjI97MeizuEdGsbfZ454BWrpm5MiRdeqmL8ud6VHI9IhLeUkrLWukzYiV7NMeNnpbvyGmR9S50Nr4kyZNslGjRgVzR29rl3OfFOuDhUyPLGKoq8/H/WK0b4WWHCpUYn8Tx/x9XPKNiHJNDy2xp2XhyjU9tE+NEtEqMjh+85vfhPjV37UEUSmmR3wW1mV6lHOvKWGtBLWWWdJb/yqaUaFZQflmUS7ncvg21PTQrAjdA4orf88LxRKfdTIRZIjnljhroNi+SA0xPWR0bbnllgVn7uT3wWKmh7SWaZb78yEaITKaNCNI96b2aJGBW2imW25bxUyPWGe+6SEDTv0/mh5Z3KuFfq42xPSIMzoxPRo2TuIsCEAAAhCAAAQaRwDTo3H8OBsCEIAABCAAgQYQiAlpJYe19JCW7ilUNEtASe1Sk7kxAaSEuPYlyC0yGxpiesTEmGJVgjJ3dkG+6RGXGyqU0CsVU6E9PeIbyVpWR0lf7RUS49IGykpU11XiHgf5b9IXMz1kQuQvAZS/kXlDr1VvxOvtdr0N3adPH7vxxhtr9vSoa8koXZ/6gzZqVwJOScS61sePyUOZPlq6J7cUm+lRynUXS0qqfi29I4NDb6VvsMEGNU3GPV3yTY9C15u/p4dMIi3LpGS6TIHcEt8oV0JYa/+Xep/U1VcKmR5ZxFBXm6X0pbhfhQys3D0Y/vOf/4Sl5HRvxOWpUpke6h9KkitxLfNUWktzta89g2KJRmlWpkcpfPL5apklPWf1vNC+Q1rySsvuFSvl8G2I6RENwXifFFqiKs5UKTTzQveA+qGeS3FPotxraYjpEfu1ZpDFvlOMTzHTIy6xOGjQoGDoxBI3fJchob4Sl7+q7+dAY02PLO7VukyP3L1n4rUUu98wPepTm+8hAAEIQAACEEhJANMjJV3qhgAEIAABCECgKIG4Ma2WKtF663FjYp2ghJ3eitVyNVrOptRkbtyMN98IiEnIUpa3qmv2SEwuK8YpU6aYkufaXDxuiB3fVFb72qcgdxaC3iTXm86//vWv6+wVhUwPnRCXd1HyW7MmtIFw3OS70N4oMgcWW2yxMMslroefu0GwErjaY0P7TeTupaC3krVxcu4b1WKiTXVlKik5qCRhqdeqDcu1lr0S/LHIvFASVm98xyWJlLQslHyUQaKZKrks4+a99S0XExOlubMDpIOSv+oTuRuZl3rddZke0RhSsk8zM1R0jUqMP/300zUzPfR5sesttJG5ZinJLMo1rcRQyUZpEmdIlHqf1NUBi21k3tgY6mrzqaeeCveS+ogMrdz9aWQsKKEcjxkwYEDot7Fo9tL5559fa3PxVKZHNJniDLW4ubSWj5IREIs2+B4zZkxmMz1Kvdd0L2sGkkzRWLR3hfq7Nv/WXj/FSjl8yzU9NNtBusqsUNK80PJU8bmvvS9k6Gqvj7j8Xdw3o65lqOoyPT7//PNwn+S3K2Nc/b3QbLB8TsVMj7iEU+5G4jo3dxkv/b/Yslz57TTW9FB9jb1XC/0MjM/c3J+BMXZMDwZ6EIAABCAAAQhUIwFMj2pUhZggAAEIQAACLYCA1iJXollvpmoZEC0Ns/DCC4dktBJGSlLFGRulJnOVyNcyRdpPQcuArLjiimETcBkUKg01PXS+NotWUayqPy4do89yk+dapkZv/2r2Stz0WP9//vnnQ1JXya+6SjHTQ23ut99+YYZDXM5LhkJ8w1wzC7SGv5LjMjy0zElMtH344YfhXBUteaVltv7yl78Ew0Yl1/TQElra+0OslEjUGvG5+5RE00PnlXKtMTGsN7uliQwQJXGVyMxNFis+xSmzQLppmR4lEmV46BwlmrU8j65f8Ym/EnGFlhGLfGOSWpptsskmpoSi+lLcbyNXt1Kvuy7TI27ErFkHStRrVpCW9FJfVokzPfTvYtdbyPSISW8ljWVcqf77778/3CvSXYaYSqn3SV39r5jp0dgY6mpTJqd46Ho0M0czJDSDQzOR1P9kjOkYmVxKYKsv6br1XdzcPdfYysr0EG/tHaPnkO5hPQc040s6y1iIb/nrs/XXXz/MXNKyUnrmqGQ106PUe02mm56dilkmh+5vGTBiVt/ss3L4lmN6SEfdeyq6fwstXyYjWPeLimZ+yfDQ80empe5VGeD6O/8a9AzRM1BFs+Gkl5Z6U1H/kOmrEu8pta8l5/TMePXVV23q1Knh+9znQLF+Gk0Pxa9Y9QzVPaG9o7RvkAyU/D2GovlQymy82G4Wpkdj79VCpof6tZ5fepZqOS/pIRNJM1gwPer8kc6XEIAABCAAAQg0EQFMjyYCT7MQgAAEIAABCFhYR1+zFvS2dq6JoCSi3uhWAktv98Ykzt577x32Sojlyy+/DAmX3KVDlJzR0iK5G0krua4ZA3FZGp1fTp06Xgk2JdFnzpwZkpvaTFuJMxkCuWu16y1lvXmvzWtzr0mzGDQzo9j+G/Ga6trfQIaG9izRtelvXbuSnBdccEEwA3KLDIbjjjsuzPSI16v9HyIX7Ysgxooz1/RQ0k1mg0yTWHStmv2hz7RUU5yVU8q1FotPmp1wwgnWoUOH0IwSxTIedLyK+oA2nNZb/E888cQ8LGUO1TdrRvzFJs4mUb3a60XlnXfeqZkhof+Xet11mR5qT30vmmyqV31Fm3Orn+h6lZCu63pjgjbqGzWQAaDEa26fkhGkt/jjcj/l9ulCz6C4lFr+MlI6tjEx1Pe8054Fmomg2QqxqA/IDI2Go/bQOOOMM2r6iI6TAaSZNXpOxFIsCasktAyo/I3MtQSRdM3f00N1R2NQdSt5rTf7ZczEEo2u+P9osGl2g0xD7ZWhctFFF4X61ce1/0MscU8P6SiTVCV/I3N9Vsq9pntZz57cmMVQPPTsqa+UyjeaHoq92J46sS2ZKeqndZX8pbf0M0HP1Nx+IHM3mifx87jsV6G6cw1GLfOlfpP/jJRZoXsyt+8UizPqJzNbnGKRka2ZdPE5m3t+XDJM+7vUt5dTPK/Y8yXuHZI/0ylucJ4/W6Ux92qhn6uKL/5ci/1rn332CfuJFLvf4gxD9vSo787jewhAAAIQgAAEUhDA9EhBlTohAAEIQAACECibgBJJeiNZiUZt/qxkXUPLjz/+GMwJFb2Zq0RkilIs2aO2lOzTbBZdlxLfuct3pYhFSVHNjtCsiN69exflp2NkwGh/k0J7esTYP/vsM1MiWm9Hq866SinXqhk9qlNFM3qKaaLkntoVMy3hlcty9uzZIbmoN7Wm3VkrAAAgAElEQVTz36quK75//OMfwbRR0rqujYR1HeVcd7E29aa0DCrFqeuoqxS63mLHKz5dh7RefPHFawyjFP2pqWKQqSMNtMRVsX6sxPBHH30U+oKOybrkzpjRW+3SU8nuYvewNJQuevtfhkg5fbPc2Eu513T/KGbFo/5XnzGRH0NqvqVcs5Zv0zNcsWvGRhZMdV1K6OtZpGdBsb2k6otPdeiPfk5pRkqhovi32267YDLLjCq0D0l97TT2+xTPC9WpGVb6OV3s2hsbN+dDAAIQgAAEIACBLAhgemRBkTogAAEIQAACEGjWBJTQvO++++xXv/pVSJbpTVf9XzMQ9Oa+3hb2WIqZHh6vhZghkBWBYsuEZVU/9TR/AnGvGS3RpWUAKRCAAAQgAAEIQAAClSWA6VFZ3rQGAQhAAAIQgIBDAvmb0sZL0CyIc889t8FvDDc1CkyPplaA9quRAKZHNariKyYtJ6aZiyzt5Es3ooUABCAAAQhAoPkQwPRoPlpyJRCAAAQgAAEIJCKgJUq0f4fWhtdSSVpWR4ZH//79E7VYmWq1TMkLL7wQZrDk7lNQmdZpBQLVSUDJau2Pon1xtB8LBQLlEIhLWmkZwfr2MymnXo6FAAQgAAEIQAACECidAKZH6aw4EgIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgSomgOlRxeIQGgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAqUTwPQonRVHQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUMUEMD2qWBxCgwAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoHQCmB6ls+JICEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEqpgApkcVi0NoEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIlE4A06N0VhwJAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAFRPA9KhicQgNAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB0glgepTOiiMhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoYgKYHlUsDqFBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQOgFMj9JZcSQEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJVTADTo4rFITQIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAARKJ4DpUTorjoQABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKCKCWB6VLE4hAYBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEDpBDA9SmfFkRCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCFQxAUyPKhaH0CAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACECidAKZH6aw4EgIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgSomgOlRxeIQGgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAqUTwPQonRVHQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUMUEMD2qWBxCgwAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoHQCmB6ls+JICEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEqpgApkcVi0NoEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIlE4A06N0VhwJAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAFRPA9KhicQgNAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB0glgepTOiiMhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoYgKYHlUsDqFBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQOgFMj9JZcSQEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJVTADTo4rFITQIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAARKJ4DpUTorjoQABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKCKCWB6VLE4hAYBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEDpBDA9SmfFkRCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCFQxAUyPKhaH0CAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACECidAKZH6aw4EgIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAgSomgOlRxeIQGgQgAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAqUTwPQonRVHQgACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgUMUEMD2qWBxCgwAEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAoHQCmB6ls+JICEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEqpgApkcVi0NoEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIlE4A06N0VhwJAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIBAFRPA9KhicQgNAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgAAEIACB0glgepTOiiMhAAEIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCoYgKYHlUsDqFBAAIQgAAEIAABCEAAAhCAAAQgAAEIQAACEIAABCBQOgFMj9JZcSQEIAABCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAJVTADTo4rFITQIQAACEIAABCAAAQhAAAIQgAAEIAABCEAAAhCAAARKJ4DpUTorjoQABCAAAQhAAAIQgAAEIAABCEAAAhCAAAQgAAEIQKCKCWB6VLE4hAYBCEAAAhCAAAQgAAEIQAACEIAABCAAAQhAAAIQgEDpBDA9SmfFkWUQ+Omnn+znn3+2+eabr4yzOLSpCfzjH/+wTp06Wdu2bZs6FNovkcB//vMfk25du3Yt8QwOqwYCP/zwg7Vq1co6duxYDeEQQ4kE/v73v9sCCyxgrVu3LvEMDmtqAhqL/Pjjjzb//PM3dSi0XwaBf/7zn9ahQwdr165dGWdxaFMSYDzSlPQb3va///1vmzt3bhj/U/wQYDziR6sY6S+//GIa/2scSfFD4F//+lcYi7Rv395P0EQKAQjUEMD0oDMkIYDpkQRr8koxPZIjzrwBkgyZI61IhZgeFcGceSMkGTJHmrxCTI/kiJM0gOmRBGvSShmPJMWbrHJMj2Rok1bMeCQp3iSVY3okwZq8UkyP5IhpAAJJCWB6JMXbcivH9PCpPaaHP91IMvjTTBFjevjUjSSDP90wPfxppogxPfzpxnjEn2aKGNPDp26MR/zphunhTzNFjOnhUzeihkAkgOlBX0hCANMjCdbklWJ6JEeceQMkGTJHWpEKMT0qgjnzRr799lvr0qULy1tlTjZdhZge6dimrBnTIyXdNHUzHknDNXWtmB6pCaepH9MjDdeUtWJ6pKSbrm5Mj3RsqRkClSCA6VEJyi2wDUwPn6JjevjTjSSDP80UMaaHT91IMvjTDdPDn2aKGNPDn26MR/xppogxPXzqxnjEn26YHv40U8SYHj51I2oIRAKYHvSFJAQwPZJgTV4ppkdyxJk3QJIhc6QVqRDToyKYM2+EJEPmSJNXiOmRHHGSBjA9kmBNWinjkaR4k1WO6ZEMbdKKGY8kxZukckyPJFiTV4rpkRwxDUAgKQFMj6R4W27lmB4+tcf08KcbSQZ/miliTA+fupFk8Kcbpoc/zRQxpoc/3RiP+NNMEWN6+NSN8Yg/3TA9/GmmiDE9fOpG1BCIBDA96AtJCGB6JMGavFJMj+SIM2+AJEPmSCtSIaZHRTBn3gh7emSONHmFmB7JESdpANMjCdaklTIeSYo3WeWYHsnQJq0Y0yMp3iSVY3okwZq8UkyP5IhpAAJJCWB6JMXbcivH9PCpPaaHP91IMvjTTBFjevjUjSSDP90wPfxppogxPfzpxnjEn2aKGNPDp26MR/zphunhTzNFjOnhUzeihkAkgOlBX0hCANMjCdbklWJ6JEeceQMkGTJHWpEKMT0qgjnzRkgyZI40eYWYHskRJ2kA0yMJ1qSVMh5JijdZ5ZgeydAmrZjxSFK8SSp/eebX9u0/v7eV+vW03l06JmmDSrMngOmRPVNq/B8B5QSUg+vRo4e1adMmfPHBBx/Yl19+aeuss06mqObOnWsPP/ywrbfeeta1a9dM667myjA9qlkdx7FhevgUD9PDn24kGfxppogxPXzqRpLBn26YHv40U8SYHv50YzziTzNFjOnhUzfGI350+/jr723fG/5ib3/+j5qgjxyynB06aFk/F9GCI8X0aMHiN+DSt9pqq/B7vkr79u2tb9++tu2229pmm21Wq7bJkyfbmDFjTEsnx7LmmmvaMcccYw888IA9++yzNn78+AZEUPwU/U6kOC6++GJbaaWVMq27mivD9KhmdRzHhunhUzxMD3+6kWTwpxmmh0/NFDV7evjTDtPDn2aYHj41YzziUzdMD5+6YXr40e3ke1+3m16YOU/AU08abL0W6ODnQlpopJgezU/4Z96bZa998ndr3aqVDVh8QVt7ye6ZXaRMj2222cYGDx5s33zzjT3zzDN233332bBhw2z48OGhnWnTptnxxx9vW2+9dfi8Y8eO9vrrrwczQp+/9NJLmB6ZKWKG6ZEhTKr6HwFMD5+9AdPDn24kGfxphunhUzNFTZLBn3aYHv40w/TwqRnjEZ+6YXr41I3xiB/ddhz7vE2d8fU8Ad85Yl1ba4nskq1+iPiKFNPDl171RTvmiXft4ifeq3XYqVuuZMPXW7K+U0v6XqbHXnvtFYyPWDRzQ4bGuHHjbKmllrLdd9/dFlpoIbvgggtq1alx1Jw5c+yWW26pZXpMnz7dRo8ebTNmzLBu3brZPvvsY5tsskk497TTTrOBAwfWzCSZNGmSPfroo3bOOeeE75977jm76KKLwot7ffr0sc8//5yZHiUpyUEQqIcApofPLoLp4U83kgz+NMP08KkZpodP3TA9fOrG8lb+dGM84k8zRYzp4VM3TA8/ug2/bqo99faX8wT8wCHr2yqLtJx19f0oVjtSTI/qVe77n+bYVX/+oKwAr3z6ffvxl//UOmfBzu1tj18vUVY9hw8uvDxdIdNDe2kMHTrU9t9/f9tyyy3Dv7WM1cYbb1ywzeuvv77G9Pjxxx9txx13tMUXXzyYJVOmTAkzR2RkrLzyymH2yKBBg2y33XYLdd199912++23hz8ff/xxMGDWWmst23777e2zzz4LhgfLW5UlNQdDoDABTA+fPQPTw59uJBn8aYbp4VMzTA+fumF6+NQN08OfboxH/GmG6eFTM8YjvnS7ZcpHduLdf60V9Ep9u9hDh/7G14W00GgxPapXeJkeK53ySMUD7Ny+jb15xqYF2y1keujAXXfd1bRnh/6WQXHeeedZ//796zU9tLfH6aefbjJCtD+IikwQGRnHHntsnabH2LFj7f777w97hLRq1crY06PiXYUGmzMBTA+f6mJ6+NONJIM/zTA9fGqmqNnTw592mB7+NFPEmB7+dGM84k8zTA+fmmF6+NPt1ikf2eNvfG7f/fsnW6nvgjbit0tZ326d/F1IC4wY06N6RZfpMe7P0/8X4NycWFv9/3/Hz/7//8c+PX2emR7dOrcre6bHEYOXK9n0iDM9DjzwwLAMlWZ6HHnkkeHvQiV3pseECRPs2muvtQcffLDm0FNOOSWMky+88MI6TY+TTz7ZlJc999xzw7mYHtXbl4nMIQFMD4eimRmmhz/dSDL40wzTw6dmJBl86obp4VM3TA9/ujEe8acZpodPzRiP+NTtl19+sR9++MEWWGABnxfQQqPG9Ghewl/4+Lt2yZO19/Q4ZYuVbK/10+3pIcNCy1Fdc8011q9fvzDbo2fPnmGZqdyi/Tz059Zbb61Z3kp7dIwaNcruvPPOsJ+Hyp577mnLLLOMydTYd999bd111w3LWKnkLm913XXX2dNPP236G9OjefVjrqYKCGB6VIEIDQgB06MB0Jr4FJIMTSxAA5vXLz2aZtqxY8cG1sBpTUGANbSbgnrj2sT0aBy/pjob06OpyDe8XcYjDWfXlGeyp0dT0m9424xHGs6uqc7E9Ggq8o1rF9Ojcfyq8ew/vTvLXvvk79a6ldmaiy9o6yzVI7MwtbyVNjEfPHiwffPNN/bnP//ZJk6caHvvvbftsssuoZ3JkyfbqaeeGjYj32OPPUI+4M0337RLLrnEjj/+eHvppZdqTI+vv/7ahg0bZkOGDAkGx9SpU8Om5ieeeKJttNFGdvnll9u0adNszJgx9sknn9j5559v33//fdjT46233rJDDz3UDj/88LDZuZa6kqHCnh6ZyU1FLZkApodP9TE9/OlGksGfZooY08OnbiQZ/OmG6eFPM0WM6eFPN8Yj/jRTxJgePnVjPOJPN0wPf5opYkwPn7o1VdQyPfR7vkr79u3DPhzaRHzTTWvvAaIZHDI51L9i0R4fJ5xwQjAntJfH+PHjw1earSGjQ7NAVLbYYgs77LDDwr8//PDDYJTIHGnTpo0tueSSpp8Pt9xyi2lZLe378corr4Rjl19+eXvnnXdCuyuuuGJTIap4u63migQFAhkTwPTIGGiFqsP0qBDoDJshyZAhzApWhelRQdgZNsWeHhnCrFBVmB4VAp1xM5geGQOtQHWMRyoAOUETmB4JoFagSkyPCkDOuAlMj4yBVqg6TI8KgW6hzWi8+91331mvXr2sXbt2RSlojPXpp59ajx49rFOnefcD+vzzz0MdMj7yy1dffRXq7tq1a4ukjOnRImVPf9GYHukZp2gB0yMF1bR1kmRIyzdV7ZgeqcimrZckQ1q+KWrH9EhBNX2dmB7pGWfdAuORrIlWpj5Mj8pwzroVxiNZE01fH6ZHesYpWsD0SEGVOiFQOQKYHpVj3aJawvTwKTemhz/dSDL400wRY3r41I0kgz/dMD38aaaIMT386cZ4xJ9mihjTw6dujEf86Ybp4U8zRYzp4VM3ooZAJIDpQV9IQgDTIwnW5JVieiRHnHkDJBkyR1qRCjE9KoI580ZIMmSONHmFmB7JESdpANMjCdaklTIeSYo3WeWYHsnQJq2Y8UhSvEkqx/RIgjV5pZgeyRHTAASSEsD0SIq35VaO6eFTe0wPf7qRZPCnmSLG9PCpG3t6+NMN08OfZooY08OfboxH/GmmiDE9fOqG6eFPN0wPf5opYkwPn7oRNQQiAUwP+kISApgeSbAmrxTTIznizBsgyZA50opUiOlREcyZN0KSIXOkySvE9EiOOEkDmB5JsCatlPFIUrzJKsf0SIY2acWMR5LiTVI5pkcSrMkrxfRIjpgGIJCUAKZHUrwtt3JMD5/aY3r4040kgz/NFDGmh0/dSDL40w3Tw59mihjTw59ujEf8aaaIMT186sZ4xJ9umB7+NFPEmB4+dSNqCEQCmB70hSQEMD2SYE1eKaZHcsSZN0CSIXOkFakQ06MimDNvhCRD5kiTV4jpkRxxkgYwPZJgTVop45GkeJNVjumRDG3SihmPJMWbpHJMjyRYk1eK6ZEcMQ1AICkBTI+keFtu5ZgePrXH9PCnG0kGf5opYkwPn7qxp4c/3TA9/GmmiDE9/OnGeMSfZooY08Onbpge/nTD9PCnmSLG9PCpG1FDIBLA9KAvJCGA6ZEEa/JKMT2SI868AZIMmSOtSIWYHhXBnHkjJBkyR5q8QkyP5IiTNIDpkQRr0koZjyTFm6xyTI9kaJNWzHgkKd4klWN6JMGavFJMj+SIm20DellOY6MFF1zQWrVqFa5z6tSp1q1bN1t22WUzve6vvvrKpk2bZptsskmo9+GHH7a1117bunfvnmk7HivD9PComoOYMT0ciFQgREwPf7qRZPCnmSLG9PCpG0kGf7phevjTTBFjevjTjfGIP80UMaaHT90Yj/jTDdPDn2aKGNPDp25NFbXGQrfddpvdfPPNppyoSps2bWzIkCF21FFH2cEHH2yrrLKKjRgxItMQX3zxRTv55JPt8ccfD/WqvXPOOccGDBiQaTseK8P08Kiag5gxPRyIhOnhU6S8qEky+JQR08OnbiQZ/OmG6eFPM0wPn5oxHvGpG6aHT90Yj/jTDdPDn2aYHj41qzfq6ZPMPn3ZrFVrs34DzRZfr95TSj1g3Lhxds899wRz43e/+114seD55583fT5x4kRMj1JBZngcpkeGMKnqfwQwPXz2BmZ6+NONJIM/zRQxpodP3Ugy+NMN08OfZpgePjVjPOJTN0wPn7oxHvGnG6aHP80wPXxqVmfUT48ye3p07UM2HW22zgGNvlg9l3fYYQfba6+97Pe//32t+vSztmPHjvOYHpMmTbIrr7zStBTWoosuaieccIItt9xypufFHnvsYSNHjrQlllgi1HXZZZfZAgssED6fO3euXX/99Xb33XeHvIKWsfr6669rzfSQ6fLKK6+Ez9dcc0079dRTrVOnTuFczUaZMGFCMGUGDRpkw4YNsz59+tT5nY49//zzg4kzZ84cW2yxxUK8Sy65ZKPZpawA0yMl3RZcN6aHT/ExPfzpRpLBn2aYHj41U9QkGfxph+nhTzNMD5+aMR7xqRumh0/dGI/40w3Tw59mmB5VrtlP35tNvqS8IJ8dY/bLv2uf07m72cD9y6tnw+PnOf7ll1+2Y4891m699Vbr2bNnwfpyl7d677337MADD7TNNtvMNthgg7Ak1jvvvGN33nmntW3b1jbffHO75JJLbMUVVwx1nXjiiWF/kGOOOcYefPBBu+iii2zrrbe23/72t8Hs0D4euctbLbTQQrb77rub9vu46aab7IADDgjHP/DAA8FAOeSQQ4KhctVVV1mXLl3szDPPrPO78ePH27333huMGC3ZJcNm3XXXtYEDB5bHrsJHY3pUGHhLaQ7Tw6fSmB7+dCPJ4E8zTA+fmilqvYWjQWHr1q39XkQLixzTw6fg7OnhTzfGI/40U8SYHj51w/Twpxumhz/NMD2qXDOZHmcvXPkg23U2O+mzedqV6XDhhRfaY489VrNxef5BuabHxRdfbE899VQwElRmz55tu+yyS5g9sf7669dpeuy7777Wo0cPGz36v7NW6tvTQ0bF999/HwyLPffc0xZZZBHbddddw7lvvvmmXX311cHw2GeffYp+pxkpTz75ZGhz+eWXL3qNlRek7hYxPapNkWYSD6aHTyExPfzpRpLBn2aYHj41U9QkGfxph+nhTzNFjOnhTzfGI/40w/TwqRnjEZ+6YXr41I2NzKtYtzDT4+LyAgwzPX6sfU6n7mZr71dePRueMM/xcaaHZmxolkWhkmt6HH/8f2eLRONC/95qq62C8aFlsuqa6aHvZF7suOOOoY76TA/NPrn99tuDwaJz27VrZ926dasVopau0tJZxb5TjldLZM2YMaNmc3bNHuncuXN57Cp8NKZHhYG3lOYwPXwqjenhTzeSDP40U8Ts6eFTN0wPf7phevjTDNPDp2aMR3zqxkwPn7oxHvGnG6aHP80UMaaHT92KRv3U2WZ/Oqf215uOMlvnwEZfqFYEkAkh42C33XarVZ9mWcgcyDU9zj33XJs2bVowI+LYd9ttt7UjjzzShgwZYkOHDrULLrjAVltttfB97vJWqkezLbREVSmmx2mnnWYzZ860a6+9Nuzfsckmm4Q480td38VjP/30U5syZYqNHTs2zAyRQVPNBdOjmtVxHBumh0/xMD386UaSwZ9mmB4+NVPUJBn8aYfp4U+z+Itfhw4dwttmFB8EGI/40Ck/SkwPn7oxHvGnG6aHP80UMaaHT93qjPr9J8w+fdmsVRuzfgPNllg/s4vUXhn33Xdf2Ktj8ODBYQlJzcLQvhkTJ06sZXpMnjw5zJyQyaHlrLQxuc695ZZbrFevXjZ8+PBgeOy9997BHNFMjA033DDs6aE9OrQR+f/93/+FWSVq96WXXqq1p4eMkS233NJeeOGFsKzVTjvtFIyOcePGhVhGjRplq6yyin3yySdhH5Gjjjqqzu9uvPFGW2mllax///5hRrb2CxkxYkTYk6SaC6ZHNavjODZMD5/iYXr4040kgz/NMD18aqao2dPDn3aYHv40w/TwqRnjEZ+6YXr41A3Tw59umB7+NMP08KlZU0at+/yGG26wO+64w+bMmRNC0abfmrkhU0EzM2Q07L//fzdOv+KKK+yee+6pOU7H6FgV7Z+hPUKUW9WektrcfK211rKjjz7aZs2aFQyUr7/+Ohy79NJL2/Tp02uZHmo3xjBgwICwUXn79u1DfapX9cfSr18/u+aaa+r8Tvt+xFkpqnvNNde0M844I1xfNRdMj2pWx3FsmB4+xcP08KcbSQZ/mmF6+NRMUZNk8Kcdpoc/zTA9fGrGeMSnbpgePnVjPOJPN0wPf5phevjUrFqi1sbkMh00a6NVq1ZFw9LPYZkYffv2ncdA0HND9fTu3Xue8+fOnWufffaZde/e3Tp27Fjw+y+++MI0c3rBBRec53vF9tVXXwVDpVOnTrW+L/ZdjKdnz55Vb3bEC8L0qJY7opnFgenhU1BMD3+6kWTwpxmmh0/NMD186obp4VM3NjL3pxvjEX+aKWJMD5+6YXr40w3Tw59mmB4+NSNqCOQSwPSgPyQhgOmRBGvySjE9kiPOvAGSDJkjrUiFbGReEcyZN0KSIXOkySvE9EiOOEkDmB5JsCatlPFIUrzJKsf0SIY2acWMR5LiTVI5pkcSrMkrZU+P5IhpAAJJCWB6JMXbcivH9PCpPaaHP91IMvjTTBFjevjUjT09/OmG6eFPM0WM6Q+l3mEAACAASURBVOFPN8Yj/jRTxJgePnXD9PCnG6aHP80UMaaHT92IGgKRAKYHfSEJAUyPJFiTV4rpkRxx5g2QZMgcaUUqxPSoCObMGyHJkDnS5BVieiRHnKQBTI8kWJNWyngkKd5klWN6JEObtGLGI0nxJqkc0yMJ1uSVYnokR0wDEEhKANMjKd6WWzmmh0/tMT386UaSwZ9mihjTw6duJBn86Ybp4U8zRYzp4U83xiP+NFPEmB4+dWM84k83TA9/miliTA+fuhE1BCIBTA/6QhICmB5JsCavFNMjOeLMGyDJkDnSilSI6VERzJk3QpIhc6TJK8T0SI44SQOYHkmwJq2U8UhSvMkqx/RIhjZpxYxHkuJNUjmmRxKsySvF9EiOmAYgkJQApkdSvC23ckwPn9pjevjTjSSDP80UMaaHT91IMvjTDdPDn2aKGNPDn26MR/xppogxPXzqxnjEn26YHv40U8SYHj51I2oIRALNxvSYO3euzZ4929q1a2ddu3YtqPCsWbNs/vnnt06dOs3zvc7/4osvrGfPnta2bdt5vlcyWL84d+/end5TAgFMjxIgVeEhmB5VKEo9IZFk8KcZpodPzRQ1SQZ/2mF6+NMM08OnZoxHfOqG6eFTN8Yj/nTD9PCnGaaHT82IGgK5BJqF6TF58mQ744wzbM6cOeHa+vXrZ0cccYStuuqq4f8zZsywo446yr777rvw/3XWWcdOPfXUGnPj6aefttGjR9ecv88++9jOO+8cjv3+++/tuOOOs7fffjv8v0+fPnbhhRdar1696El1EMD08Nk9MD386UaSwZ9mmB4+NVPU3377rXXp0sVat27t9yJaWOSYHj4FZ6aHP90Yj/jTTBFjevjUDdPDn26YHv40w/TwqVk1RK18qH5v1EvzhV6qr4YYW0oMzcL0eOGFF8IsjQ033DAM3M4880zTwPuKK64IOo4YMcI6d+5sI0eOtM8++8wOPPDA8GerrbYKS4xsu+22tssuu9huu+1mkyZNsvPOO8+uueaaYJ6MHz/eHnzwQRs3blyo45BDDgmfqw1KcQKYHj57B6aHP91IMvjTDNPDp2aKmiSDP+0wPfxppogxPfzpxnjEn2aYHj41YzziUzdMD5+6sbyVT92aKupXXnnFbrzxRnvttddqQlh00UVDLrpv375NFVZZ7V599dW2yCKL2NChQ8s6r1oPbhamRz7c++67zy677DJ75JFHwi9NO+ywg51zzjk2YMCAcOhZZ50VTJJLL73UnnrqKTv77LODsdG+ffvw/fbbb2/bbLON7b777jZs2LBgpuy3337hu4cffjjM9HjsscesVatW1aprk8eF6dHkEjQoAEyPBmFr0pNIMjQp/gY3zp4eDUbXpCdiejQp/gY1junRIGxNfhKmR5NLUHYAjEfKRlYVJzDToypkKDsIxiNlI2vyEzA9mlyCBgWA6dEgbFV90uRPJ9sbs9+w1tbaVl9odftV719lEm98oX711VcPL9n36NHD3n///WCC7LXXXrbyyitn0k7qSg477DBbbrnl7KCDDkrdVEXqb5amx/HHH28fffSR3XLLLaGTHXDAAeHfcUmq66+/3h599NHw2e2332533HGH3XXXXTXANZtj8cUXt6OPPto23XRTO/zww8PfKm+88Ub4/4QJE4ruHVIR5aq8EUyPKheoSHiYHv50I8ngTzNFjOnhUzeSDP50w/Twp5kixvTwpxvjEX+aKWJMD5+6MR7xpxumhz/NFDGmh0/dikV9xStX2JWvXlnr6+MGHme7rbhboy/0gw8+sP333z+sHNS/f/+C9SkHcNFFF9mzzz4bVhLS6kN6SV/7TisXd+6559rUqVPDuUsssYQtvfTSdswxx9h7770Xtmj43e9+ZxMnTgxbM8hI6dChgym/rW0ZVJfaV9Ge1bfddlvIW+vn/KBBg8IL/dquQec/88wzYcnm5557zhZeeOFwnraB0Ev+F198sbVp08a6detmSy65ZJg04Lk0O9NDAmoGx2mnnWbrrbeevfzyy3bsscfWMilkdNx8881BbC1fpdkeMkBiUaeab775QqfaeOON7cQTT7SNNtoofB1NFHUsTU/SgINSmIBuNGbD+Ood+oWVtep9aaZo0c2fZno+qvCM9KUd95ovvWK0jEf86YZm/jRjPOJTM8YjPnVjPIJuPgn4i5pnZN2ade3atclE/eGXH+y6N64rq/0//vWP9uOcH2ud061DNxu24rCy6jlg9QPmOV59RVsntGvXLhgMq6yyii211FLBQIhFeWoZGHrRXkUGyR577BEMC+Wd33zzzWBm6CX8sWPHhtWIZEJouSztU63ZIjJJXn31Vbv33nvDi/06Xy956birrroqGBUPPPBAWP1I7cg80ecyObRNg7ZyuPXWW0Ou+ze/+Y099NBDIc+tnLhWRNKe1sp1a/Uj5cW9zFApJmCzMj3klp1++um29957hz06VLKY6aFN0TfZZJNQX/5MDw04KPMS0E2nP3IvKX4I6M3Kjh07stmSH8mC4aE3UBZYYAFHUROq3riQ4aG3Myh+COgNHA3+MIf9aKaxiGafSjeKHwL6uaZf9PSLI8UHAcYjPnTKj/LHH38Mb4Rq/E/xQ4DxiB+tYqSa6aHx//zzz+8v+BYcsd6g11iE8UjhTtCUvxPJ9Bh488CK985ObTvZlF2nFGx3xowZwWCIszVkeMT9o/U7icwNmRRx64W7777bZs2aFbZj2HLLLcOSUjIbVC6//HJ79913a5kecZsF9cutt97axowZE8wVlZ133tl22mmnsF3DnnvuGfbl2HXXXcN3MlO0V4fMkBtuuMG0L7biVIkzVO68884wu4PlrSrepUprMO61oaWstttuu5qTNBNDTpimCa2xxhrhc7lbX375Za09PeRuxQeZOpk6StzTQ7M89t1333Aue3qUpgfLW5XGqdqOYnmralOk/nhYTqJ+RtV4BMtbVaMq9cfEchL1M6q2I1jeqtoUKS0elrcqjVM1HcV4pJrUKD0WlrcqnVU1Hcl4pJrUKC0WlrcqjVO1HcXyVtWmyP/ikelx7evXlhXgH1//o/0056da53Tt0NWGrVDeTI8D+x9YZ7vKh06fPt2eeOKJsMKQVhGSCaG9ojU7I+4nrUq6d+9uetFeMzzGjRsXZoeo1GV6aMylF/O13/Sqq64ajpfRMWTIkGB0bL755iG/LRMjt5x//vkhnlzTQ7lxnaO9R7T8FaZHWV2qMgdrWo86xG677RbWKotFnUczDdSx9Ba01iL7/PPPwx4f+iNnLDpkOldCT5o0KUwx0pSffv36BfdLhoj+Vl0HH3xw+FzGCaU4AUwPn70D08OfbiQZ/GmmiDE9fOpGksGfbpge/jRTxJge/nRjPOJPM0WM6eFTN8Yj/nTD9PCnmSLG9PCpW7GoL3/lchv76thaXx+31nG220qN39NDP09lZuTPfpEBoT/KN+uFfO3pkb9klGZcDh06NCwtFbdWqMv00PFanqqY6aHltWSKaFZJflGuuz7TY9lllw257+ZQmsXyVmeccUbYiCW/jBgxIszY+PDDD4NzpgeWysCBA8OeH3Fmx5NPPmmjR4+uOX348OFhDbb4S5f2BNG6ayoLLbRQmEKkvynFCWB6+OwdmB7+dCPJ4E8zRYzp4VO3b7/9NqyH2pRTuX2Sa7qoMT2ajn1jWsb0aAy9pjmX8UjTcG9sq5gejSXYNOdjejQN98a0iunRGHpNdy6mR9OxT9Xyc397zt6Y/UZYarp/r/62Vp+1MmlKRsIll1wSXrpfbbXVTPf8o48+GpaT0gv4a6+9dlhBSJ+PHDky5JTfeustmzZtWpilcdJJJ9nbb78dXubXOFgbkS+zzDIFl7eqz/TQjBHN6Bg1alRY/uqTTz4xLV+lfUHqMz10rvbG1h4h6v+aTOC5NAvTo1QBtCmL1nQutI6iBuqffvqp9e7du+B6fRpYKJGvqUiU+glgetTPqBqPwPSoRlXqjokkgz/NMD18aqaoSTL40w7Tw59mihjTw59ujEf8aaaIMT186sZ4xJ9umB7+NFPEmB4+dWuKqD/++OOwN8c777xT07z29Nhnn33CDA8V5aS1D3V8qV6fbbHFFmFJKa1KpG0ZZs6cGVYXkrGh/T/12V//+lc78sgjLe7pUcj00Mv7Wt5KL/ArH6tZIHrBPxbVKcPj2muvtRdffDFslK6iPUV0zk033RTy4Zo0cPzxx9vXX38dluS67rryNotvCvZ1tdmiTI9qg9+c48H08Kkupoc/3Ugy+NMM08OnZpgePnXD9PCpG6aHP90Yj/jTDNPDp2aMR3zqhunhUzdMD5+6NWXUc+bMCYaBVgbo0aNHwVD0woHMa33ftm3bcIzOk0miIlNDWzJovw5tbt7Qojq/+uqrsFJBp06dyqpm9uzZ1rVr15r4yjq5ig7G9KgiMZpTKJgePtXE9PCnG0kGf5phevjUjCSDT90wPXzqhunhTzfGI/40w/TwqRnjEZ+6YXr41A3Tw6duHqMeP3582Phcsyv+9re/hVnPmmXBakONUxPTo3H8OLsIAUwPn10D08OfbiQZ/GmG6eFTM0XNnh7+tMP08KeZIsb08Kcb4xF/mmF6+NQM08OnbpgePnXD9PCpm8eotbzVlClT7Lvvvgv7ffz6178uuDWDx2trypgxPZqSfjNuG9PDp7iYHv50I8ngTzNMD5+akWTwqRumh0/dMD386cZ4xJ9mmB4+NWM84lM3TA+fumF6+NSNqCEQCWB60BeSEMD0SII1eaWYHskRZ94ASYbMkVakwh9++MFatWplHTt2rEh7NJINATYOzYZjJWvB9Kgk7ezawvTIjmWlamI8UinS2bbDRubZ8qxUbYxHKkU6u3YwPbJjWcmaMD0qSZu2IJA9AUyP7JlSo5lhevjsBpge/nQjyeBPM0WM6eFTN5IM/nTD9PCnmSLG9PCnG+MRf5opYkwPn7oxHvGnG6aHP80UMaaHT92IGgKRAKYHfSEJAUyPJFiTV4rpkRxx5g2QZMgcaUUqxPSoCObMGyHJkDnS5BVieiRHnKQBTI8kWJNWyngkKd5klWN6JEObtGLGI0nxJqkc0yMJ1uSVYnokR0wDEEhKANMjKd6WWzmmh0/tMT386UaSwZ9mihjTw6duJBn86Ybp4U8zRYzp4U83xiP+NFPEmB4+dWM84k83TA9/miliTA+fuhE1BCIBTA/6QhICmB5JsCavFNMjOeLMGyDJkDnSilSI6VERzJk38u2331qXLl2sdevWmddNhWkIYHqk4Zq6VkyP1ISzr5/xSPZMK1EjpkclKGffBqZH9kxT14jpkZpwmvoxPdJwpVYIVIoApkelSLewdjA9fAqO6eFPN5IM/jRTxJgePnUjyeBPN0wPf5opYkwPf7oxHvGnmSLG9PCpG+MRf7phevjTTBFjevjUjaghEAlgetAXkhDA9EiCNXmlmB7JEWfeAEmGzJFWpEJMj4pgzrwRkgyZI01eIaZHcsRJGsD0SII1aaWMR5LiTVY5pkcytEkrZjySFG+SyjE9kmBNXimmR3LEzaIB5dG22267oteyxx572G677eb+Wrfaaqvw8qZK+/btrW/fvrbtttvaZpttVtK1Pf300/bXv/7VDjnkkJKOz+IgTI8sKFLHPAQwPXx2CkwPf7qRZPCnmSLG9PCpG0kGf7phevjTTBFjevjTjfGIP80UMaaHT90Yj/jTDdPDn2aKGNPDp251Rf2v556zH15/3Vq1bm2d+ve3zmut1eiLnDt3rs2YMaOmnv32289kdKy33nrhs+7du1vXrl0b3U5TVyDTY5tttrHBgwfbN998Y88884zdd999NmzYMBs+fHi94d1000325JNP2rXXXlvvsVkdgOmRFUnqqUUA08Nnh8D08KcbSQZ/mmF6+NRMUbOnhz/tMD38aYbp4VMzxiM+dcP08Kkbpoc/3TA9/GmG6eFTs7qinnXpZfbV5ZfXOqT3iSda9z/snunFbrrppnbUUUfZkCFDQr2jRo2yxRZbzPTsnjp1qm2//fY2aNAgu+iii+zZZ5+1zp07mwyFHXbYwTp16mRTpkyx8847z5SfU1lttdXspJNOCsaJfm6ff/759vzzz9ucOXNCvSeccIL169cvGC0jR460JZZYIpx32WWX2QILLBA+nzhxor366qu26qqr2iOPPGJLLbWUHXvssaGtiy++2GbPnm0DBgyw3//+9+GYQkUx7rXXXsH4iOWBBx4I548bNy7Uef3119tdd90VXvLUbJChQ4faQQcdZDNnzgx/K1e80EILhdP/+Mc/2u23317w+FatWmWiCaZHJhipJJ8ApofPPoHp4U83kgz+NFPEzPTwqRtJBn+6YXr400wRM9PDn26MR/xppogxPXzqxnjEn26YHv40U8TM9Khe3f7zww/29TXXlBXgV1eNt7k//ljrnDbduln33ctbeqrnQQfV2W6+6XHggQfae++9F8wLGQr6c//994fP4lJPMjlkTshY0BJQ77//vq2wwgohbyDTZJ111glGyvjx4+3ee+8N5kabNm1s0qRJtu6661r//v1t8803t0suucRWXHHFEN+JJ55oCy64oB1zzDF2zTXX2K233mp9+vSx3/72t+FvxbP33nvbzjvvbBtssIE9+uij9vjjj4fZG4VMh0Kmh2a5yNjYf//9w1JXqqNt27bBhPn4449t9OjRwbAZOHCgXXjhhcF4UTwqv/rVr0J7hY7fcMMNy9K22MGYHplgpBJMj+bRBzA9/OlIksGfZpgePjVT1CQZ/GmH6eFPM0wPn5oxHvGpG6aHT90Yj/jTDdPDn2aYHtWtmUyPd9YYUPEgW3fqZMu//FLZpseyyy5rRxxxRDhPRoYMBJkcml2hcvfdd9usWbPCrAkV/XvatGn2xRdfmPbCmG+++cLMjUsvvTQsESUzYfnll68xJ/TieX2mx1NPPWU33HBDzTmqT5+deeaZoU09p2Ss5BonuRdayPTQ97vuuqutueaaduSRR4bDZdi88cYb4Rruuece23HHHW3PPfe0YstbFTs+C3ExPbKgSB3zEGCmh89OgenhTzeSDP40iwMdvT3RsWNHnxfQQqMmyeBPeEwPf5opYmZ6+NON8Yg/zRQxpodP3RiP+NMN08OfZoqYmR7Vq5tMj9lX/7GsAGdffXXBmR4L7rprWfX0OuTgOo8vNNNDMzG014fKhx9+GP7dq1evsARULNr7Q7MhHnroIRszZowtuuiitswyy9j06dOtQ4cOduWVV9qnn35qp556athDRDM9tITWAQccEGZL1Gd6vPDCC3bVVVfVtHf88cfbK6+8EmZ95JZ99tnH1l9//Xmusa6ZHprNou81K0WzTzRLRUtvad8PLYelZbEKmR51HV+WKEUOxvTIgiJ1zEMA08Nnp8D08KcbSQZ/mililrfyqRt7evjTDdPDn2aYHj41YzziUzdMD5+6YXr40w3Tw59mmB4+Nasr6lmXXGpfXXFFrUN6n3CCdd/jD5lebH2mh57h2r9De3qsvPLK87StmRFa3kl7YKhcffXVYdaHTI9YZH5oP46xY8eaTAoZC1pm6oILLgjLVqnkL2+Vb3pobxDttaHZI6WUQqbHgw8+GK5Dy2dpb5JddtklzBzRclwqMmTWWmutGtPjiSeesOuuuy58p31E6jq+lJjqOwbToz5CfN8gApgeDcLW5CdhejS5BGUHQJKhbGRVcQKmR1XIUHYQJBnKRtbkJ2B6NLkEDQqAmR4NwtakJzEeaVL8DW4c06PB6Jr0RMYjTYq/QY1jejQIW5OfxEyPJpcg8wD++cyz9u/XXzdr3co6r7GGdR44MPM26jM91OC+++4blpPS3hza2Putt94KxoaWgdIfbUaupaY++ugjO/vss61Lly7B9LjxxhttpZVWCnt4aLy8++6724gRI2yzzTaz4cOH1+zTobpkasg8iXt65JseOkazPbSviM7Xz5bHHnss7LWh5bjyi0wPmSuDBw+2b775xv785z+HDdK1L4jMi++++y5s0i6jY+ONN7a//OUvYRmunXbaKZgeak/7e2jGR+vWrcNMFZk/xY7PQhhMjywoUsc8BDA9fHYKTA9/upFk8KeZIsb08KkbSQZ/umF6+NNMEWN6+NON8Yg/zRQxpodP3RiP+NMN08OfZooY08Onbk0ddSHTY4011ghGRyzaq+P0008Pm5nHssUWW9hhhx1mzz77bFgmSnlVGQNafkqzKK644oow6+P2228Pp+g77aVxxhlnhH9rrw8tj6XzZJJoySvNsjj66KPt2muvtRdffDHMDMktEyZMCHXOmTMnfKzzNFtEpkt+kemhPIaKluXq27dvMDl0vbHkxtetWzfT72JxhoiegzJYtIeHigyTm2++ueZ68o/PQkdMjywoUsc8BDA9fHYKTA9/upFk8KeZIsb08KkbSQZ/umF6+NNMEWN6+NON8Yg/zRQxpodP3RiP+NMN08OfZooY08Onbp6i1s9hPdN79OgRTIpYZEJoCauFF1641uf6Xs8TLQ3Vs2fPYHbklvhd7969S8Ywd+5c++qrr4KR0bVr15LPK3agxvGa9SFTpFDR9aqtTp06ha/rO74xAWF6NIYe5xYlgOnhs3NgevjTjSSDP80UMaaHT93Y08Ofbpge/jSLv/xow8Z27dr5vIAWGDXjEZ+iY3r41A3Tw59umB7+NFPEmB4+dSNqCEQCmB70hSQEMD2SYE1eKaZHcsSZN0CSIXOkFakQ06MimDNvhCRD5kiTV4jpkRxxkgaY6ZEEa9JKGY8kxZusckyPZGiTVsx4JCneJJVjeiTBmrxSTI/kiGkAAkkJYHokxdtyK8f08Kk9poc/3Ugy+NNMEWN6+NSNJIM/3TA9/GmmiDE9/OnGeMSfZooY08OnboxH/OmG6eFPM0WM6eFTN6KGQCSA6UFfSEIA0yMJ1uSVYnokR5x5AyQZMkdakQoxPSqCOfNGSDJkjjR5hZgeyREnaQDTIwnWpJUyHkmKN1nlmB7J0CatmPFIUrxJKsf0SII1eaWYHskR0wAEkhLA9EiKt+VWjunhU3tMD3+6kWTwp5kixvTwqRt7evjTDdPDn2aKGNPDn26MR/xppogxPXzqhunhTzdMD3+aKWJMD5+6ETUEIgFMD/pCEgKYHkmwJq8U0yM54swbIMmQOdKKVIjpURHMmTdCkiFzpMkrxPRIjjhJA5geSbAmrZTxSFK8ySrH9EiGNmnFjEeS4k1SOaZHEqzJK8X0SI6YBiCQlACmR1K8LbdyTA+f2mN6+NONJIM/zRQxpodP3Ugy+NMN08OfZooY08OfboxH/GmmiDE9fOrGeMSfbpge/jRTxJgePnUjaghEApge9IUkBDA9kmBNXimmR3LEmTdAkiFzpBWpENOjIpgzb4QkQ+ZIk1eI6ZEccZIGMD2SYE1aKeORpHiTVY7pkQxt0ooZjyTFm6RyTI8kWJNXiumRHDENQCApAUyPpHhbbuWYHj61x/TwpxtJBn+aKWJMD5+6saeHP90wPfxppogxPfzpxnjEn2aKGNPDp26YHv50w/Twp5kixvTwqVs1Rq2ft23atLF27dpVLDz9rHjuueds6NCh1qpVq4q1W00NYXpUkxrNKBZMD59iYnr4040kgz/NMD18aqaoSTL40w7Tw59mmB4+NWM84lM3TA+fujEe8acbpoc/zTA9fGrWlFFvtdVW4eVGlfbt29taa61lxx57rHXu3Nn23HNPW3HFFe24445rcIgff/yxjRkzxs4777xgoNRXXn/9dTviiCPskUceKen4+urz+D2mh0fVHMSM6eFApAIhYnr4040kgz/NMD18aobp4VM3TA+fujHTw59ujEf8aaaIMT186obp4U83TA9/mmF6+NSsvqg/fvNr+3Lmd9aqdSvrs1RX67tst/pOKfl7mR7bbLONDRkyxGbOnGnnnnuurbbaanbWWWfZBx98EMyPPn36lFxf/oFvvvmmHXbYYfbQQw+VNGME08MM06PB3Y0T6yKA6eGzf2B6+NONJIM/zTA9fGqG6eFTN0wPn7phevjTjfGIP80wPXxqxnjEp26YHj51Y3krn7oVi3rK/R/a1Ac/rPX1b3Za1lb7Xb9MLlSmx1577RWMD5XrrrvO7r77bps4caKdc845tvTSS9vgwYPtoIMOsuOPP95WXXXVcNysWbPs8MMPt5EjR9piiy1m48ePtwcffNCUV+3fv384tlu3bjZs2LBwbK9evcJyVcccc0w4RjM/lMtTkcly0kknWdeuXQ3TA9Mjk45NJfMSwPTw2SswPfzpRpLBn2aYHj41I8ngUzdMD5+6YXr4043xiD/NMD18asZ4xKdumB4+dcP0qF7dfv5xjr3yxEdlBTjtkZk25+f/1Dqn43ztbLXfLVpWPWttvmTB4/NNjzPPPNPeeustu+WWW+zggw+2VVZZxUaMGBH+9O3b10455ZRQz/XXX28PPPCA3XnnnXb77bfbtddea8OHDw+zQsaNGxdMjosvvtjuuusuGzt2rJ1++unWtm1bW3755e2jjz6y999/31ZYYYWwtNaoUaNsnXXWsaOOOgrTwzA9yurYHFw6AUyP0llV05GYHtWkRmmxkGQojVO1HcVG5tWmSGnxsJxEaZyq6ShMj2pSo/RYMD1KZ1UtRzIeqRYlyouD5a3K41UtRzMeqRYlSo8D06N0VtV0JKZHNalROxaZHlcd9qeKB9iuQxvb7+LfFjU9ZD7ozxtvvGGvvfZamKUxaNCgWqbHY489FmZnaAZIp06dbMcdd7Rtt902zOTYfffdw4yQ0047LbQRj5Uh8umnnxZc3kqzP6ZNm2ZffPGFPf300zbffPPZZZddhumB6VHx+6PFNIjp4VNqTA9/upFk8KeZIsb08Knbt99+a126dLHWrVv7vIAWGDWmh0/RMT386cZ4xJ9mihjTw6dumB7+dMP08KeZIsb03mT1SQAAIABJREFUqF7dZHq8/Hh5Mz1eerTwTI9VNypvpsfALYrP9Jh//vlt0UUXDTM5tLfHyiuvHCDmzvRQvlSzQvTZ4osvbkceeaRNmDAhLEm1+eabhyWytt9++3CejI499tjDLr30UtNYK39PD+3voc3N1eYyyyxj06dPtw4dOtiVV16J6YHpUb03sPfIMD18Kojp4U83kgz+NMP08KmZoibJ4E87TA9/miliTA9/ujEe8acZpodPzRiP+NQN08OnbpgePnUrFnWhPT3W32lZWz3Rnh65ceSaHvr8ggsusLffftuWWGIJ+/7778N+Hio777yz/epXvwr7dahMnjzZTj31VLv55ptt9uzZduihh4alsGRsqGiWyIYbbhj2CVG5+uqrw6wPTI//0mcj8+Z1D1fN1WB6VI0UZQWC6VEWrqo4mCRDVchQdhDM9CgbWVWcgOlRFTKUFQSmR1m4quZgTI+qkaLkQBiPlIyqqg5kpkdVyVFyMIxHSkZVNQdielSNFGUFgulRFi4XB3/05tf25czvwkbgfZbqaoss1y2zuPP39MitON/0+OCDD2z//fcPh4wePdrWXHPN8G/N6Hj88cdN+4FoT4+zzjormB0yPfQzW23ou9VXX93mzp1rBx54YDBOtIeH9vc4++yzw8oEmB7/pY/pkVn3pqJcApgePvsDpoc/3Ugy+NNMEWN6+NSNJIM/3TA9/GmmiDE9/OnGeMSfZooY08OnboxH/OmG6eFPM0WM6eFTt6aKui7T45BDDgkbmUejQzFqs/LvvvsuLG0lE0ZFsz5OPPHEsCeIigyMc845JyxdFU0R7QWiog3NNf7S5uXKwbZp0yYYJZ07d7Yrrrgi1HH44YfbI488Er5riQXToyWqXoFrxvSoAOQETWB6JICauEqSDIkBJ6oe0yMR2MTVsqdHYsAJqsf0SAC1AlVielQAcsZNMB7JGGiFqsP0qBDojJvB9MgYaAWqw/SoAOQETWB6JIBKlSUR0HNeP6N79+49z/HKJSjnqj1AVObMmRP2/lh44YWtbdu2JdXfUg7C9GgpSlf4OjE9Kgw8o+YwPTICWcFqSDJUEHaGTWF6ZAizglWRZKgg7IyawvTICGSFq8H0qDDwDJpjPJIBxCaoAtOjCaBn0CTjkQwgVrgKTI8KA8+oOUyPjEBSDQSaiACmRxOBb+7NYnr4VBjTw59uJBn8aaaIMT186kaSwZ9umB7+NFPEmB7+dGM84k8zRYzp4VM3xiP+dMP08KeZIsb08KkbUUMgEsD0oC8kIYDpkQRr8koxPZIjzrwBkgyZI61IhZgeFcGceSMkGTJHmrxCTI/kiJM0gOmRBGvSShmPJMWbrHJMj2Rok1bMeCQp3iSVY3okwZq8UkyP5IhpAAJJCWB6JMXbcivH9PCpPaaHP91IMvjTTBFjevjUjT09/OmG6eFPM0WM6eFPN8Yj/jRTxJgePnXD9PCnG6aHP80UMaaHT92IGgKRAKYHfSEJAUyPJFiTV4rpkRxx5g2QZMgcaUUqxPSoCObMGyHJkDnS5BVieiRHnKQBTI8kWJNWyngkKd5klWN6JEObtGLGI0nxJqkc0yMJ1uSVYnokR0wDEEhKANMjKd6WWzmmh0/tMT386UaSwZ9mihjTw6duJBn86Ybp4U8zRYzp4U83xiP+NFPEmB4+dWM84k83TA9/miliTA+fuhE1BCIBTA/6QhICmB5JsCavFNMjOeLMGyDJkDnSilSI6VERzJk3QpIhc6TJK8T0SI44SQOYHkmwJq2U8UhSvMkqx/RIhjZpxYxHkuJNUjmmRxKsySvF9EiOmAYgkJQApkdSvC23ckwPn9pjevjTjSSDP80UMaaHT93Y08Ofbpge/jRTxJge/nRjPOJPM0WM6eFTN0wPf7phevjTTBFjevjUjaghEAk0O9NDP0zatm1bUOFZs2bZ/PPPb506dZrn+7lz59oXX3xhPXv2LHi+ksH6xbl79+70nhIIYHqUAKkKD8H0qEJR6gmJJIM/zTA9fGqmqEky+NMO08OfZpgePjVjPOJTN0wPn7oxHvGnG6aHP80wPXxq1hyj1hhLP687d+5c8PJeeOEF6927ty255JLN8fIbdU3NyvT46KOPbO+997brr7/e+vbtWwNmxowZdtRRR9l3330XPltnnXXs1FNPrTE3nn76aRs9erTNmTMnfL/PPvvYzjvvHP79/fff23HHHWdvv/12+H+fPn3swgsvtF69ejUKfHM/GdPDp8KYHv50I8ngTzNMD5+aYXr41A3Tw6duzPTwpxvjEX+aKWJMD5+6YXr40w3Tw59mmB4+NWvKqLfaaquwooNKmzZtbIUVVrATTzzRFlpooUaFNXny5JDDvuOOO2zBBRecp67hw4fboEGDbLfddgvtTZ06dZ5jlCvfZZddGhWHx5Objemx++672+effx40yDc9RowYERyxkSNH2meffWYHHnhg+BM75LbbbhvEVweZNGmSnXfeeXbNNddYv379bPz48fbggw/auHHjQh2HHHJI+PzMM8/0qHfFYsb0qBjqTBvC9MgUZ0UqI8lQEcyZN8LyVpkjrUiFJBkqgjnTRjA9MsVZscowPSqGOrOGGI9khrKiFWF6VBR3Zo0xHskMZcUqwvSoGOpMG2J5q0xxVkVlM159yb744H1r1aqV9V1uRVt0pVUyi0s55m222cY23nhj+/LLL+2cc84JqwVdeeWVjWpD42K9zL/iiisGMyW/5JoeWuFI/TYW5R0OPfTQMBFg0003bVQcHk9uNqaHlqaS6XH00UfXMj00INhhhx1CZxswYEDQ6KyzzgpLWV166aX21FNP2dlnnx2Mjfbt24fvt99++9BRZaQMGzbMNtxwQ9tvv/3Cdw8//HCY6fHYY4+Fm4RSmACmh8+egenhTzeSDP40U8SYHj51Y08Pf7phevjTTBFjevjTjfGIP80UMaaHT90wPfzphunhTzNFjOnhU7diUU++82Z7fsKttb7eaM/9bMDQrTK5UJkee+21V8gnq9x88812yy23hHyzilYRev3110350m7duoWViqIRMWrUqHDMzJkzbfr06bbIIovYGWecYYsttlj4/ymnnGI33nijtW7d2rTKkfLY+rxLly6hn+olfv3JL3qhf+LEiTZhwoSiW0FkcvFVWkmzMT3EV0aGRM6d6fH+++/bAQccEDpaXJJK3z/66KPhs9tvvz1MEbrrrrtqJNJsjsUXXzwYKOqAhx9+eE1HfOONN8L/1WG6du1q2guEMi8B3cT6wV5szTmYVScBJRk6duzYIh+G1alI/VEpySDd9MOO4oeAkgwqut8ofghomUztDabBJsUHAZkeGpPMN998PgImykBAv7zpZaR27dpBxAkBxiNOhMoLk/GIT90Yj/jTTbkR3W8aR1L8ENBy99ozOL4g7SfyykTalC+C//zjv+0v999d1oVOuXeC/fLzT7XO6bTAArbGpluWVc+6OwwreHyu6aFcsUwOMdJL+CoyLZZddlnr0aOHaZsF5aLvvPPOYIBoNSIZHspp6/8yK5ZbbrmwYpGMkiOOOMIeeeSRkIPWdgwLLLCA7bnnnmGsrPp32mmneUwPGeQ69rDDDrOhQ4eWdY3N5eBmb3q8/PLLduyxx9aYFBJORoccN7ldWr5Ksz1kgMRyzDHHhF+OtWaapiVpTbSNNtoofB1NlGis6K1PSmECuhmb8iGILuUTQLPymVXDGehWDSqUFwOalcerWo5Gt2pRorw40K08XtVwNJpVgwrlx4Bu5TPjDAg0hAD3WkOoNf056Nb0GpQbAZrVTUzJ+aYqMj0u+cMOFW++XYeOdugNEwq2K9NDL8drj2ktR6Vy7rnnhpfqVfSCyFtvvRX+aBmqu+++O6wktOqqqwbTo3///rVWGbrsssvsgQceML18H02Pl156KeSor7rqqpqNy3OXt8oNbMyYMaZNzm+77bYWm5tt9qZHFjM91Lk22WST0HfyZ3pU/A5z0iDLWzkRKi9MlrfypxvLSfjTTBGzvJVP3VhOwp9uLG/lTzNFzPJW/nRjPOJPM0XM8lY+dWM84k83lrfyp5kiZnmr6tVNpsfUif9bsaeUSKfcN8Hm/PxzrUM7zq+ZHluUcnrNMb/ecdeipodmcqyyyirhZft11lnHTjvttHCsxrZaVUj7TK+++urWp08fe+ihh+z8888P/883Pd5991076KCD7KabbgoGSTQ97r//fhs7dmyY9RFLIdND2z9oy4aTTjopbNnQUkuzNz3inh5y19ZYY42gszYh16YyuXt6qLPFKfRaf037esQ9PTTLY9999w3nsqdHabcKpkdpnKrtKEyPalOk/nhIMtTPqBqPwPSoRlXqj4k9PepnVG1HYHpUmyKlxYPpURqnajqK8Ug1qVF6LJgepbOqpiMxPapJjdJiwfQojVO1HYXpUW2KNC6eyXfcbM/flbenxx772oDNtm5cxf//7NzlraZMmRIMhz322CMsO/X444+HWR9xqwSdMmTIkKKmh1YmUs5a+4HIAImmx5tvvmlHHnmk3XfffTXbCRQyPWS2aM8PLanVkkuzMT30Q0SOmTaN0ZJViy66aM2+BNqEXOudaQNzuV3a40N/tt56a9MaffpbnXDXXXe1SZMm2XnnnRfWT+vXr1+YMiRDRH9rf4qDDz44fC7jhFKcAKaHz96B6eFPN5IM/jRTxJgePnUjyeBPN0wPf5opYkwPf7oxHvGnmSLG9PCpG+MRf7phevjTTBFjevjUra6oZ7z6kn0+/T1r1bqV9V1uReu30qqZXWT+Rubar0O55JNPPjm8ZK8tFGRkaJaHzIzrrruulunRs2dP03YLWrFIM0B69+4dlr/K3dNDwW6++eZhNSLlsF999VW74IILam1k/sEHH9j+++8fcuBrr712ZtfnsaJmY3pow/E5c+bUaKCNhtSJVD788MPgiumBpTJw4MAwxSjO7HjyySdt9OjRNefKJRs27L8b0+iXLu0J8t5774X/L7TQQqZ10fQ3pTgBTA+fvQPTw59uJBn8aaaIMT186kaSwZ9umB7+NIvj7w4dOrCRuSP5GI84EisnVEwPn7oxHvGnG6aHP80UMaaHT92aKup800NxjBo1Krxcf8UVV9jll18etkxQWWGFFeztt98OhsVqq60WlreSWRHz2ksssYSdffbZ1qtXr5ptFrSkVZs2bcIe1TJMVLp37x5yC7kbmWsmiHLZMlxaemk2pkcpQn7xxRdhg/L5559/nsM1UP/000+DkxbNkNyDNLBQIl8djlI/AUyP+hlV4xGYHtWoSt0xkWTwpxmmh0/NFDVJBn/aYXr400wRM9PDn26MR/xppogxPXzqxnjEn26YHv40U8SYHj51q+aov/rqK2vdunUwK3JL3NNDqxDpedGlS5c6L0OrFil/pxw2pTiBFmV60BEqRwDTo3Kss2wJ0yNLmpWpiyRDZThn3QozPbImWpn62NOjMpyzbAXTI0ualasL06NyrLNqifFIViQrWw+mR2V5Z9UapkdWJCtXD6ZH5Vhn2RKmR5Y0qasuAvkbmUMrGwKYHv+PvfOAk6Qo+/+v8+SNd7d7iUvAkYMKpxwowYCAgC/q+4q+ZsXXrOhr1vd9xfz6msUEAv7N4SUqr5IEDk5AMneEy3lv0+zsxE7/z1PdPdM9Mzs7szuzu7NXdRRVXV1dXf1Ub093fet5nubIkbdSJgEOPdrzluDQo/3GjU8ytN+YUY859GjPceOTDO03bhx6tN+YUY859Gi/cePvI+03ZtRjDj3ac9z4+0j7jRuHHu03ZtRjDj3ac9zasdf33HMPyKcHmb3ioXkS4NCjebLkLfkkwKFHe94OHHq037jxSYb2GzMOPdpzzKjXfJKh/caOQ4/2GzMOPdpzzPj7SHuOG4ce7Tlu/H2k/caNQ4/2GzMOPdpzzHivuQT8EuDQg98PTZdAesMGpO7dACOXQ/zYY9Fx8UVNPwdvsDUS4NCjNXJtZat8kqGV0m1d21zTo3WybWXLfJKhldJtTdscerRGrq1ulWt6tFrCzW+fv480X6Yz0SKHHjMh5eafg7+PNF+mrW6RQ49WS7g17XNNj9bIlbfKJTBTEuDQY6YkfYicZ/T3v8e+T306cLUdF12ExV/+0iEigfa+TA492m/8+CRD+40Z9ZhDj/YcN+7To/3GjUOP9hsz6jGHHu03bvx9pP3GjHrMoUd7jhuHHu03bhx6tN+YUY859GjPceO95hLwJMChB78XmiqBHZe+AZmHHqpo84gN90Lq7m7quXhjzZcAhx7Nl2mrW+STDK2WcGva59CjNXJtdat8kqHVEm5++xx6NF+mM9Eihx4zIeXmnoO/jzRXnjPVGoceMyXp5p6Hv480V54z0RqHHjMh5eafg0OP5suUt8glMJMS4NBjJqV9CJxryyvORWH79oor7bnsMnRe+CqoK1ceAlJo30vk0KP9xo5PMrTfmFGPOfRoz3HjkwztN24cerTfmFGPOfRov3Hj7yPtN2bUYw492nPc+PtI+40bhx7tN2bUYw492nPceK+5BDwJcOjB74WmSmDnW98G8ulRLcg9PYiuX4/o+tMQO+00rvnRVMk3pzEOPZojx5lshU8yzKS0m3cuDj2aJ8uZbIlPMsyktJtzLg49miPHmW6FQ4+Zlvj0z8ffR6Yvw9logUOP2ZD69M/J30emL8OZboFDj5mWeHPOx6FHc+TIW+ESmC0JcOgxW5Kfp+dN3XYbdr/nvYGrS7z85RCjESRvvgV2Ps/2aatWlQDIGWfMU2m032Vx6NF+Y8YnGdpvzKjHHHq057hxnx7tN24cerTfmFGPOfRov3Hj7yPtN2bUYw492nPcOPRov3Hj0KP9xox6zKFHe44b73VJAvR+Rr/1kUjkkBQLhx6H5LC39qLJvNXYfffByOaQOPYYRE45hZ3QNgyM3XQzxm6+GeN3313sRPikkxBzNUDCJ5zQ2s7x1mtKgEOP9rtB+CRD+40Zhx7tOWbUaz7J0H5jx6FH+40Zhx7tOWb8faQ9x41Dj/YcN/4+0n7jxqFH+40Zhx7tOWaz2esPf/jDePzxx1kX3v72t+N1r3tdze7ceeedrP773ve+Yr3PfOYzuP/++4vbqqriwgsvxDve8Q4IgtDw5W3YsAGf+9zn8Jvf/AZdXV0NH9/uB3Do0e4jOEf7XygUQBMN0Wi0ag/1ffsY/KCY27SZ1REUBdHTTkNs/WlMC0RdsWKOXt387RaHHu03tnySof3GjEOP9hwzDj3ac9w49GjPceOaHu03bvx9pP3GjHrMoUd7jhuHHu01br975ne4feftSOVTWNu7Fm855i1YHFvcXhdxiPaWa3rMv4HPPTsCffc4IADqYQloKzuadpFkzcE0TbzhDW/AP//zP7NYK/z85z/HbbfdhquvvjoAPei+u/zyy0Gw9J577mH7v/nNb+KYY45puK/0Tr19+3YcddRRkCSp4ePb/QAOPdp9BOdo/yeDHv5uZx97zAUgt8AYHGS75N5eBkDI/0f8rLMgTgBP5ujlt223OPRov6HjkwztN2YcerTnmHHo0Z7jxqFHe44bhx7tN278faT9xoxDj/YcM/4+0l7j9ttnfov/vO8/A50+svtI/O6C37XXhRyiveXQY34N/Nhfd2DsrzsDF9V5wWrETmsuhPynf/onvOY1r2HQw7Zt/OpXv8Lvfvc7ttDg7LPPxutf/3qWf8973gOaO124cCHr009/+lNcccUV7JgvfOELrOzgwYOs/re//W0GLm644QY8+uijOO644/DnP/8Zq1atwkte8hJ87WtfA83nUTj++OPxqU99Ch0dHdiyZQs++9nP4rrrroMoinjjG9+I9evX46677sLw8DDOOecc1o9wOIxdu3bhK1/5Cp577jkGSAiyUD9I26RdA4ce7Tpyc7zfjUAP/6WkbrvdASC33FIs1lavLgKQGPf/0dKR59CjpeJtSeN8kqElYm15o9ynR8tF3JIT8JWVLRFrSxvl0KOl4m1Z4xx6tEy0LWuYv4+0TLQtbZhrerRUvC1rnL+PtEy0TW/43X99N+7Zc09FuxetvggrO1cioSZYjGvxYp5tq3GIgtj0/vAGG5MAhx6NyWsma9sFE6m/7WnolKk7d8E2rMAxYkRB7EWNQY/EOctrntcPPW666SZ897vfZSasVqxYgR/96EdIJBL4xCc+gW984xsMYHz0ox9l7T3/+c9npqi2bt2KV77ylcjn80wThI4j+EDmra666ir88pe/RF9fH1784hez9LDDDmOgYu3atcx36Je+9CWsW7cOH/nIR/DEE0/gQx/6EAMkBDJe+tKXorOzE29+85uZnw+CHNQXauuyyy5jYOT9738/xsbG8Pvf/x5kbisWizUk57lUmUOPuTQa86gvU4UengisdBrJm25iACTz9weKkgmffDJirgYI9//R5BvGspHcOYRQPAKt59B0ctRkic5Ic3ySYUbE3PSTcOjRdJHOSIN8kmFGxNzUk3Do0VRxtr6x1H7gnm/A3PMoRC0GYe25wAve3vrz8jNMWwL8fWTaIpyVBjj0mBWxT/uk/H1k2iJsaQMPDzyM+/fdj437NuKhAw9N+VwMiGgOFClG/7YvT5DEHxVRmfJ5+YElCXDoMXfvBoIeez67YcY7KKgSlvzni2qe1w89CC4sWbIEl156KTvmqaeewk9+8hMQDCENkGrmrQiEHH744UzjgzQ9KBIYIS0Rgh533HEHrr322oCPD6rz0EMP4cCBAyBfIeRqgGBLNehBoOPkk09m/fn3f/939PT04GMf+xgDIQRECIIsWrRoxmXbihNy6NEKqfI2mYpWLZ8ejYiIOUa/6WYkb74ZhW3b2KHM/8f69QyAxM46E8rixshsI+c/FOqO37cXyT9tg11wqLe2phM9lx4FMSwfCpff1tfIJxnac/g49GjPcRsdHWUrc2gFDA/tIQEOPdpjnIq9/MnZwO4Hg50+9yvAqZe12YUcet3l7yPtOeYcerTnuHHoMbfG7ZmRZxjgoEiwI2/mJ+3gu094N0zbRDKfxFhhzIl5N3XztH+qgQDIZKDE0ygpByaapE31tPPuOA495u6QOpoeuxvqYOrO3VU0PeQpaHocVvO8fuhx3nnnQVEUBhP84etf/zrTvqgGPfzmreiY73//+6weaV4Q9CBH56Qx4oVbbrkF//M//4OlS5dizZo1zKSVpmn4wQ9+MCn0IA0S8h3y+c9/Hhs3bmTmtWiugqDJv/zLv0zqjL2hAZiFyhx6zILQD4VTNhN6+OWVeeCBIgCxxsfZLub/g5yfn7YeiXNfAUHmE/WN3GNWWsfe/7q/4pDY6UvQed6qRpridWdBAnySYRaE3oRTcujRBCHOQhN8kmEWhD7NU3LoMU0BtvJwswCQZgfF8f3AvkeBv30deUHADkWGZts4TDeA2EJg7fmAEnGiGi7l2bZbrrjlxW23XOKrXVs5jF7b/H1kJqTc5HNsvhnG9vsA24K8Yh1w1KuafALeXKskwN9HWiXZ+trdO763qMlBoGMoNxQ4cFXHKqxbvA7r+tdh+T9+gY8N3I1n1NJv0XtHknjXRb9wft9II4N+pyh6eVFm2xmrUIIiZUDED0qShWRTgUlMiQU1TMq0TcohiX87Is8vixEcetT3N9Eutcb+sgNjt5X59Dh/FWLrlzT1Ei666CLmzPySSy5h/jhe/vKX401velPFOciR+V//+lf87Gc/K+4jc1Ll0OPWW28FQZI//elPTMOjHHqQ/xDy60G+OSiQJglpfTQKPehYep8jaPKXv/wFf/zjHxlcWblyZVPlM5ONcegxk9I+hM7VKujhFyH5/SDzV+QHxAvM/4cLQGJnnH4ISdy5VCtrwMrosDKU+vN62T5fnZxRVU6CLEJdHofcHYLUHWKpl5di7evIaL7dFHySoT1HlEOP9hw3PsnQfuPGoccsjJmpOxDDAxp+sFEs2wdkgpNE1NNfJWL4WncXCoLAOn5cvoBvDBxEnzH11a6QVGAiIELl5ZCEbfvAymT7qS4P7COZfMOR00we2kACf/sqcPsVwY6efjlw9mfaoPO8i/x9ZGbvAdLG2LjnXty/+25sPPAgdmb2BzqwUApjndSBdbaCdXkTC7JJIDMMZEcAAvxk0kZTkRUELNcNLDDr/U0TKoGIH47UyOdECUlRxJgIJAEkBRtjFGFhDCbGbIoGxmwdSUvHmFXAmJnHmJWHaQd9HjQi7agSQULxmeXSOhyNEy2BuBI0wRWAJ0ocMXUO+Q3YtRH4638Aex4E5BCw9jzgVd8BCEjx0NYSyD0zgsLuFDMNpR6WgLaqOe8t27dvZw7JN23ahI9//OO45pprsHjxYvzwhz9kzsfJz8axxx6L3bt347e//S3zt0FgghyOE/wgSwJdXV3M6TjBtssvv5xZ0KH63/rWt5i5KTJXVU3Tg8xSkd8PanPnzp344he/yKwTNAo9CKwQqCEfIWSG64Mf/CC++c1vMofm7Ro49GjXkZvj/Z4J6OGJwBweRvJGx/9H9rHHipJh/j/Wk/mrsxBau3aOSyzYPTtvMnhh+uFFAGh40MJNaV/WACy78eukeYUGDxMU0QUg4SIM8cMR2s/DzEiATzLMjJybdRZynJb803bkto4AgoDwmi50vLJ9V040Sy7t0g6fZGiXkSr1k0OPJo6ZpU8CMlyNjfRg/SeNLQLifSxmwp14UfI+mA7vKIZL7Bg+d9xlgJ4pxcIEearD9mVLdY3JzYzU3+EqNcnRLNNCqQOgBDRTah3jaa+4mi2CNK0uzsTB1v4nkB3cjejiI4BurincVJlbJkB/fwQUKVbLT7a//Lg7rgByNBXqC2oUuOQqQEsAoYSTsnwcaIN7sKkyn8ONJf/3f5HauhXhBQuQeOlLofT1zeHezsGu2TaQdYEEAxP+/AiDFWZ2CPdn92GjPoyNyOOpsnnuiGVjXS6HdVknrtR2Os6vAAAgAElEQVT1iS9UlAD6Gy4P9JykCfSKv13DASUWfdtXX5zYaqnSwgMCJkmJoIlYzDsQRWJlLPr2e9v14pxq1xCBgAQkJASKMotxUUFcUJ1U0pwohhCXw4hLYcQVihHE5ShEWuRQpi0T1KAhjRrZV8fTsqlS9uOz8UtjAE+rClTbZuN81nH/Cpz71VaLn7ffphIgnx0DAwNQVRWvetWr8K53vYtdCc2NksNyMk/lhWXLljF4QWalyME5OSGnQHCEgAVpcniB2jv11FOZc3EykXX11VczM1RXXnllsc4999zDoAqdi5yVk3NzclJOZrGefPJJBi/8jsy/+tWv4qSTTmLHk3krmlMi2EJ92bx5MysPh8O44IIL8I53vKNNR8TpNocebT18c7fzMwk9/FLIP/204wD9ppuh79vn3OSqiij5/lh/GhLnngupu3vGBGfrVknzYlJoUQIYdNxUghiSIEYViBGKspOG3dTbZqmvLCRj/1cfgDGcC5wycfZyaKs7Wbk5nGOpMZxlqTVe48UOgBRXA9ohfiAidXAboVMZ24mO4dCjmdJsfVtDv9iM7GMHAyeKPn8Rui45ovUn52eYtgS4T49pi3DGG+DQow6R06RKVW0MF2J4+9LBZ1fNlslkB4MZ/U4a8+VdyMH2uWFrciuuf+56XPXEVRXNhiQN5xz2UpC5kFWdq1i6sqMBWEw20Qs+CFIEIxOBk6wLTtz9fsBSfqy3rw4xT6sKrTKtZtqrCFEm00zxaa9U01yhiaLphOsuBraUNK/xvDcBF3x7Oi0271hascwmFWkicQJg4C9vFB549Wse55vEnEofaJJ2tgPdawEQQkAkHizzAEkRlnjgxK1HbfAwLQnseMMbkXmw5PdIjMex4le/BFk7OCRDfgzIjLjgYriU97QsCGgE8iNAbrSqqB7VNNwfDmFjWMMDoVBFnVNyBawzRawT4zhO6wHC3UCk2027nJSVuXm2rwt46BrglsuD7S1YC7xnY31DVs8zYzp1pvrMm+CchqUjSb5KQNHCmFgCKAykeODEBSYeVKG0fNFDfQJyaoUtGwnLYjFeNdoV5aW6NuSy5+zlC3txazT4zPpMXsNr31nmd6yRTvK681oCBDDoW5GcgpMWSXkwTRODg4NMA4OAgj/QwjqCG+XljQiM2t+7dy/6+/shT8PkP/n6ov5wR+aNSJ/XPeQkMFvQwy/o8bvvYdofFG139YW8oJf5/mAA5Pzz6x4X27QdeDGR+SivPGvAZnlH88KawHTUZCcm01IOvJCLEEMqhxVVwAYqn62TnYrtL+wZR+qOXcjvTUEKyYgctwDxM5dNeCw5jXIgiB+IlLZpNfuEQRLKtEOC2iKCNvdXM9Yl1BmqxKHHDAl6iqcxUwVYqQLMMSeO/PHZCs0q0ozqffMxkHvCkDo5FJyiqGfkMK7pMSNibupJDmnoQStLmb+MfUENjXLTU43CDAYwvOhCDf827a/ysecf2F2pXfj7/r/j7/v+ztLBbAPaIbSgBUIRgKzuXO0AEReKKLTKc6aDX7OkApLUAC711m31al9abVwNoFRopng+VHyQhUyAPPbrSomTmaSew6eumUDXTKudCVY0MilXXrfaCuuZvj+mez5aKV7V7n8VXwBVzd34VjF7+2nMyjU9SFtp5YsBmkjOjTlpPuWkzZAjXUcAiMSra5VMBE28cmpnngX6VrVzOVgUs1knn83BzmXdshxyjz2Koauurrjynne+Ews//KH2lgg9Q6toXNTUyKD6U70vw914LtaJjeEw7peBjUgjW2bS6ejYMqzrPQHrFr8Q65afBUGbhumljVfC3nQT7NwYxP7jgPUfAnrWtPeY1dt7ggl1PsMtg3yYjIJ8lCRdHyZJPYWkPo6knkbSyLgxizGTYp7FpFWA2ajpCl//QzaQsIG4TWDEhmaZ2KhVvkucZIq49q2P1nvlvB6XAJfAHJAA1/SYA4MwH7swF6CHJ1fbNJG8/gYGP9L3boCgRllUVx2B8HHPg3bU8VD6l5dARRFaeJBjGqajgBK0IIgRdSFGVe2LknaGIE2RXkzzZiJbzESXp0OGqQs0uVuuIeJpi9C+WoFgj99/SCDfVbnqZpqX3PaHc+gxO0NojuuwxvIOzPBBDQY5fOUNv3+LAuSeEAMg1dLJJhJnRxqHzlk59Gi/sZ6X0IMmecrBRbXt8YH6Byy6oKSVUQQYpKFRBjXIlNMUwv70/iLk2Lh/I2jbHxaEF+CU/lPw4P4HcSBzILDvTce8CScuOBGkDbIluQVbR7eyfMG1k17enWXxZUUAsrpjdRGORJXoFHo+Rw6ha51Q48SFKuX7y0191dJYabUJsNkUI92zk9rArwIF6j5GncBcis8pccBBcS1Q4TgvLplncetO8e+uptj//uPK1ecv+wLwovdVP6yQLkGQciDi366ad+EJtdGMUNQ6caFJwBxXmfYJ004pgytUVqfWCX1H2lkHPHggwspVQgk7S8Ai64IKJ++UBfMMYrjl/nZtYxpmjEQR4WOPReioo6AddRRCR61lebJ2MOOBYCXTrnC1L6ppYfj3k88L0sQwghYH6u43+YDwNCo8rQvSrqiS3y+YuD+5BRuHHmdOyMth+/L48qLzcXJATv4mmhloFTj59IvHm9tuM/vY7m2R7xUHmDiRnL17+fJ9fufvRp0LC1ZIEdz4hjo1dNpdmLz/XALzRAIcesyTgZxLl0FaAOlnh2DkDcQO62KTd60IpEURcNbt+rWgMjsbBBZM64JiugDbmJqKOGkgSKRd4YcXUcUpC5iO8kxKyRDU9lqJ1CzoUWu8SQukZC6rXFskC7tQ27RXuWN1uTtcNKVF43BIhWduhf3EH2CmBiAvPBx4wduBXm4maTr3AJluK0GMPMtbrpZGCXDk6/ODIwqQEqoTyeRbQkP2iUHWpj8w0NcbhjGUndx0XBcBkepQhPvSmc7I13cshx71yWku1Wor6EGrTP3OvyfS0GgYZrhaGUUNjSraGU2eVB3KDoHghqfNQZod/tCpdTLIcUqfEz1zVTvGduBHj/0ITw0+hYgSwZnLz8Tbj3t71Vtqd2p3AIIQDCEoktarT6wujCxEuVYIQZGuUNdcumVnpy8E0qr6TJkAqBQBShbYcS8wsKmy34tPBDpX+Jzwlk3oNwICqmk51Hv8PNQKaNpNsvdhjP/tRsCyEDv9fGDZ85vWdNWG6D7za4/UAiQT7culnFXjtHjcFGAZAmxKTQG2EUyrlbG6rJ4I21Zh2TIsU4ZtiU5bzI2CDWaiWDdRU3u9idISNA1iOAwxFIIQDkEMhSGEQhDDIQghp9waS2L8nnvrPiuZvPJDEAIhUlcDzzsCEh6UYPlyU1GuLwx/OWkGTSVIWqVZqKL5qOoQg5mRqqHZlyqksHHfRgY4KN0+tj3Qs+5QNwhusLh4HfqjJZOLU7mEyY4h6EFmY2KxaWiMTHYSvn/KEqD7xQMjtPjiA7d/oKKt0/tfiO+/7EdTPgc/kEuAS2DmJcChx8zLfF6fMb8tiaFrn3Kcaruh4xUrEH9JbVNJRXNQzCyUCyz8ZqKojMEMF15QvamajpIE5usCkgkrNQRj/06Y48NAfhy2mYW6agnCRx+O+FmnQ+qJO0AjdGhMps8E9JjsD4Amnf3+Q/yAxByt7YyUxknqDlXVFCFYAnF2NGgmu+Yp7d96J3DthcFDE0uA9/8DINvfPAQkYKX1Mq2MvAMzyrQ0YNUBRT2YwUCGAzREBjc0F2445QQzykPu6WGM/O7ZIvggc1bdrzmC+c+hYOdNBj+MoVwwJVNyk9z/dE5PQ0TqDmqKkG8fHqYvAe7TY/oynOkW5gT08MOMWhoa40ENh5qyivY6mhkBU1NlZqdo3wxN+NJEAQMcrskq0sTwh5gSC0COw7sOr3p59OxL3bETud1jEDUZkaN7EX/x0oZuG5qs8ACIpxVC6Uh+pGo7BGDIV4hfK4RMZfVFuXPgugS//W7gZ2UmY2n19QceAUiDiIc5KYH0vfdi78c/AeOg46uHJsMXf/EKxM48c9r9LZpnIu0IV0uCaUp4GhOeVgQrczUhXHNOfg0JTyvC0bDwtC1cbYpCbc3xaV+E24Ag2hBlG4JkQ5RsCLKTFssUEYKqQAypEDXVBRVhCAQwwlEI0ThENwqxTojxTgixbogd3RATPRASCyAmugGxPi26Hee/BJnnSr8V5M9x+c9+zjRK8ps2I7dpE3KbNyP/zDNVRaD0dkI7rA+hZZ0I9UUQWiBBieR9cMOnpTEVIZJpQ+bbwgcqPB8Xfn8X5b4v6tS8qdUl27YdwLHfAR1PDj4ZqK5KahFynNp/Ko7omtmFYhx6TOWGmr1jvvPwd9giDC9IgoTvnf09nLbktNnrFD8zlwCXQMMS4NCjYZHxA2pJYOiap7DTuBLpBY/CEgsIJ1ehZ+vF6D3l+bDypqNtUcV8VF0TjVVOzJx0M80LBZKbFv1geGVlDr2r+b1I/fU2jJED9D//uXgWecECRNefhvjZZyN+zjnzf+A3Xgl97xOQwh0Qj3w5sPKMuXfNll30JVLuT8Qcpo8hs2afaYK5uumsMKTYBDbAmQNMtuzLtUtdnnedY7I6Xp4cZVJ9t6wi7+6fsE3/uSZof/9jwMiOyutdfDKQ6HcmugQy10B2oClPqW+7Yn+NfXQcO96L/m33uOL+WtsT9Ke8b/7tSVYfk68dz18GpSX/GY6WhrevrmeMAAdcFDUzXJjhwQ0XaogT3Sv1/MVsvgm4/j3QMx2EOKDEcsDFVwJrzp70aNu0GAwxy4GIu12rAXouVjOZRZCQoA0P9UmAa3rUJ6e5VKul0IPsVFeFGOU+NBqEGdVARrmZKXouz2LIGJmiPw7yy/H0yNOB3oTkENPgeEHfC1h6dM/RdfX2wLf/AX1vUFOj45UrET+jMfBR7WTDuWFmFssDIVtGt7DtgUx1M2AROVIJQzpXgUyg8FAmgc03wX7sNzDHDkDuXQU8/23A0hZrDfBBmJYEtr/mtcg+/nigDaW/H73vfW/Rj0RNk02e3wk/2KCyfO0FStPqtO9gQZJKgIFpRFTTkqiuOeFoUWgOxJAsiJIJQTAgCgUWBeQh2lkIyEIokE8T169JNbNeE5jZa+g66V23aKKrmp8T10RXfhy45xtIbougkJYgqRbiS3NQTnqZo+ntMxtljw8jv3sUuf1p5IZF5EYU5EcVps1SHkTFRqhLR6hTZ6nm5plZsHq0LfwOvEPOIp6ZCo8POqaqSJODYnk4eeHJDHScuvhUUH42A4cesyn9qZ37yaEn8eSBJxFWwli3ZB0WRDjIn5ok+VFcArMnAQ49Zk/28/LMj/7iIxjs+9/gh29yJQ7b+Lma10tmWQLwwmdGqggzmGPv1vq9sDKZov+PzIMPFvusrVnDAEji3HMRPuGE+Td2170a2HJb8Lpe93PgqAvqvFa7xgS/f+J/ssn+ahP8VWBCABaUjrHyIoxsCEY2AjMXgZGPwcjHYRYSMAo0yTxxEIQCZPEgZPEAJPEAZOyDjL2QsBeysB8CZmZFWZ0Cn/fVLDsOE90w0cuihR6YNsVumHYXTKsLltUJG/WYkLMhyeOQlDQkJQNRybBUUnNO1HIQtQIkVfdBIj8EqgV9XJhUL/S55SPAaNDMCxYeDVxyFSCRXXDSQquS1mF6hmmHDDtaImaZtkgt8wxkhm8ik1ncsXrwT41DjzZ79Nz/A9hP/wlWPg1pyQnA6R8BSCNu0mDXdvzNnIPvd+rUGyKkmeHXxCB/GWXbpLkxyzBjosvRLb0EOfb/HU8MPhGoKotyEXAQ5Dh+wfEVTZEmG1v4QuZJc2Qn38s7C2JIszP9YCUgkro0xF+8jC1OEGOqm9LK6uaAn/HCuGMmqwyI7BnfU1UcdK2e03RK/RoiYh3P6npvmXarx32Mzf6Ikf8Jc3AQBotDMIYG3e0hp4xtO3kzmWxNhwXBNdHkAAe/eSam/eAv85luKtZjZY55J6fMNfXETD652+EwBGWCxUqtuaqJWyV/OJ7JriIUcX2Y+LdZvgo88erU2W8bIaTNl8OwFkEUUghLG6AIVRZB+dsjDXBX86KQjSM3KiM3aCO/P4fcniSMZKby7ILA/IKQfxDHRJYTxUikzp62pho9p/0mq8rNGZIWYdFkVf86kHbHXAkcesyVkWisH+l0GoqiQJ0NHzmNdZXX5hLgEqgiAQ49+G3RVAnce8vZyIWC9jLpBP36GxGLHA4t3I9QtB/h+GJIsRAzHTVX/V4UduwoAhDKeyHyvOchevp6dFx4IWhFVENhgsn6koZAE7QFitoG/rZqtEs2Wrf9rfIyaKVO57KgdkOttmnF6xwPht0H0+4DpV407UUsT5PstYIkjEAiKCJRHIKsDEGSRyGro2wynU1USa4jTJYnR5S07c/ThLZbxuxTe44zfWUT1S+25x636SbgsV9XdpmcUPasJkPHTmTGid18xbYB2N4+t175Nt2zxTKqW3ZMRX06p1uvSh8sQ4VpxFi0KDUTMK0ETLMDptXJQAalNur7mJWEYVAUQekQyxcjhiGy7eomTeb47RrsnndflAMRsQYoYQDFgSgkXyPfBYMAYD4BIxdz4GAmDMuoAY5EQE7YkDsEyB0i5C4ZcpcCuVtz/DXJ5ZDG7U81lbq2EnhZZ/c8CDxwFYyhrZDiiyAc/1pg7XntfEXzv+/3fQ+49ZPB61xyMvDPv3RgRbmGRmpfsKxeCUV6SjCjGsQg0EHl9LfYZsEzVUXpIwOPIGqGEbXCiLE0ghMTx+Go6FqsCa3EYrmfwQybgAaDGQ7gYNtuGdngb2YQZBGkeSfFVCclU4Ns2w9HXEhSxdzgZH3Jm/mSmSwfENmW3DbhoSsSK4qO04smszpWgTRf5nvg0KM1I1wEGUMuuCBg4YILghgENxjoIKAxOk2QIYrovPjioi8JphFRhA0OhAiUeRCD+aFwtSo0rTWCmO+tekCE0gAscUEJgZU9D+PAU+dDt1b7pGFh0eLvQTnpVFcro8s1L9Vd8pGh1PavSSbOcps2I795E0vJRFZhe+X3PJ1UXb7cB0Ech+nywoUtGx3SxPM0OSgt18wjPxzkj8MDHeSnY64GDj3m6shU71f+uedw8NvfRubRxxhwjZ95JhZ9/N/b6yJ4b7kEuATAoQe/CZoqgb/++WQIav0v3KraC01b5It90JQF0NQeaHIvNLkLihgJahFMOqlfZbK/pqkhnybCBOaGMltHkHx0EGNPjMJyHW0LkoDoChXx1Qo6jpAhYDKTRu5kcVMlPocao9WN5RPz/ol9/2R+tXo19/vhgAsTpgoYJoATli7CHLNhJC0YoyaMUR3mSAHGcJ6Z1EINqEP3guNLJMzMZ/n9itC2oNWjjdDgWNJH0XUXAbtLGkk4+Y3Aq77bYEPNqc5W6QacfvvMS/nK63UIWfSTQaal4rITYxQliDEBUlSEFBEqIQwDO9VAjg/+1IAyQahTBfIU26+3vTLw9OytlfcSmQ0jswRkIsEkzaUqKZlZa1Gw7A4Ydn/VSPtqBdKCkoR9kP1R3AdZGmT2r0taKxNosLBnwWTgpsr+qRzj16Jhx3vtTjIZnT4IfOtEoDAeFMVbbgEOa7VdX/LUagE0/sVI9xSZ3atSFih363nHsfplZax+lTL2N9LK89bbvtvnia51ouul+nseALKjU/+r8WBGVVNTPg2NObSKtNbF2pZd0qzImgEY4WldHBjZh6GRgxgfT8HI5AOQI2LVnjSrR9Bke14IOX7SyDypEJJYyrZJa0MWMPaXHcxBsT+oS2JQl8Vhjuuwxgtuqjfm243MF3pwxJ/Gq0OSWj7ALNsKaoWQlsjoVlZm0HtklUATc0Un6p2rmKYIbSfURD2ia4s6HHo0MEyW5WpjuNCCwQtXO8PV1DBdyGGO1v8cI5NPUm8v5N4eyD2U9pa2qbyHtntY+cDXvo7R3/0u0OnEBedjyde+1sCF8KqtkAA5UWeacQXTSfNOmn96L1IbhitOGV5eQPy8FwQsIkx37Qn5UMmTfxCCIC4MoW2CcOVB7umpcJiurlw5JdGQ5oZfk6PcP1RcjQecj7eTuUEOPaZ0S8zaQdsufjUDgP7Q8/a3Y+HlH5m1PvETcwlwCTQuAQ49GpcZP6KGBK68cS0Oj+qBGgUbOJBSEZdsaKINRbIgMRuq9S/5Ey0bWt6CVrAq0pBbrhYsUL1Wh7GdYSS3hzG+t7RqTw6biPblkVieRay/li1b+uquNoHvTeR72gHlWgBl+wPQoFyjoJY2Qfl5ZMf+640frBTbEa8Azv5snRoMzTEx0eqxm0775ETac7DOnKszU0JOJCfZtQKZbqvuSyQEuWt6qz+tHfchO7IP0f61wKL6bKY3Ige2Qpccfldx+m2NlcAGfaDVE9gqXM9vRoXvDNefRmLuqKLXc00N1fnDO4DHfhM85HlvBi74Vu1mPCA7ERixagCTaiClzvqMMWejMHJRR0Ok0AGj0AVD74Zp1rbbTJo3fhjihyOiELTZ35AMW1G53KwYA7YuFNEzQHJ35VnJdw6ZSqoGE6qChGqAoRrA8MOJ1v+mtUKcc7rNUAJILK1iaqo/WDbHYAYBY0dzwixqTjDNCk+ropgnTQunjl/rwi7U9nk16ZgJKAIKBi4YrHAhhpsncCEUIYYDNEqQg3xLVdqSLz/v+Ia9GL1pKzw/TOrSGHouPQpSld9KJpOUDnO8AGvcn/rhiAtJJvmdLu8HaSJ7kKRkUsvVGmGgxNMqUUEmWr2wY2xHVb8hWSNbVcQ9oR7Hb0jnasdkFsXOVVgQbj+74Yc89CiCjDKzUi7QKGpnkKZGAyCDHFwTpPBARhFqsLJeSAxuOCBD6mzMn8LB//kfjG/cCIKisRe8AAs/8uG6HWpP+sw4hCrQs8gPJxikKAMWwTKD1a8GNqheXX7oJpEv83EZLpmFZttFM9G+vL9OaPJFWuQg3QMhnuP0aqbSyCwZmcYKrS2ZxtKOPgoE5sqD54+DNDnIR4c/CBACmhz1+oeai7cfhx5zcVScPtE9XNi5E/rOnSjs3MW0nsZu/b+KDofWHomV/xs05T53r4r3jEuAS4AkwKEHvw+aKoFLrzsOZy3IYYXqTICOWwL+OKLgoUxwUpw+ewmCxETbl6Js20ZCtBGTbFr8V3cQLAmiqUCxNWhWCGFEEKMoxKEJMagUpRhAk1rT0D4wUzkkb7sPyds2IPf0lmL/tFUrEHvRqUhccB5Ca9cGzRzVfRUzXJGgx0NXl06qxYA3Xs+dUNY5DPRh4wEQBkR8UIQcrNtmjYlLAUEg0uVojHjaIvSRMlHYfstGpB7aC+RtCAkJ/eefgJ6jV9TVa2Z6JJUvOQF3nX6XHIET6MijIZjBHH6XwEVRW6MINzRMd+VZXRc3pyvZwF//A9b2DWwCUFx5OnDWp+d0jyfqHH3k070+JcfqITKXJUBOWJDjFuSYATlWgBTNQ1LytbVeyiEOIzMEfRoAP8Vj6Nja0HJ2B0cASItOFJ2URZo8nqCsWO7W8Y5hx5eV1Wqn2vkC5yxvv7xtt6+kxVTst+8aqpZXu66JrrcOOdz/fWDL7bAQhW2rJTN3n9gN5px1hgP9Tnhmn0owwgEUfhNQTOuiaCLKMRVFoKNeLbmJLos0Ei1NQFbOI4kUBqxBpMQ00mIG41IWaTGLWDyB/p4lWLlwNY7oX4twLMo0MBxwMflkWLNESrIa2zkMNaIhvLhJmhCWXaEpUguWNDLpSNqcVU1qef5H4gqGxSS2GTvxXK7kSJ1WMCfz1bWjaTWzB0CYzxAXhiyJ1eOTplkj0Vg78xJ62HZQI8M1I8X8ZRC8cM1LsfxIA6Y0BaEIMhxo4cUeRzPDDzK6uhobiAZr58gRuW0jHJ6+NleDp5616gFIURNO+DQtivUcYOFpX5A2Bmq950/hKsn0s6hJTFOcIsurEmzdRH5L5TOD/LIR4LAyOqyMY1JwKoF+J4pgpAhD/LCkDKIQ5I4oMA7uZyviPQiS27wZ+p7qPpG0ww9HblU/diwS8WDHEP6kbEZKC34nHdd7XBF0kI+o+RI49Ji9kdT37y8CDQY3djlwQ9+1C+bYWM2O2YIEgTSgAWirVmHVLTfP3oXwM7eFBOh96IILLkChUMB1112Hvr6+tuj3fO0khx7zdWRn6bo++v/OxJ+NQXRJNiQBGDQEhGwbHz76LchYOjJWAVmzgIyVR4ZSM4eskWNpxqB8Fhkjg4yeATnNpKAKDiCJuwCkmHrQRHQBirtd76WbEJCxVeQRhi5GYYpxWHIHRKkbstoLRe1FSFuIsNqFqBJFRI4gokQCqWejmVa9JK+/Hsmbb4axv+SEk/x/xM85m/n/kLrnro1RJrPt9yC35wko0U5Ih58DRHvrFSWvN4kESEuCHEyXa4jQNpmEqhVowslvLsvLH9y8BcKG4MrRrJXGik+eAUEXWLtMO2MsjwDIcMvrXfVLWioSQQsfuBB9GhpeeS1TIPwGqZRANpuFQE4iQ9PT9JnLsmXaUORQnYERx8E62x7K1ZzApQ/8kmN1x2Sct90yx+q1tGF23gfc8P5KUb/wPcCxr64CEwhIVJvsJ6f3fnhRx4R+HSvj5/I9MJt9s/Y+i+Ef34lcdi3rhiQMouPkDCKvuXRK3XI0J3yOuMu0LhxwUdrv18AgcNHIJHq1DpI2QUmTQvKZiHKARLlWBdXdre/Dw2OPYuPIA7h3YAPGCsEP+zWda0ATSqf0n8KckM8lU0vj4+PQNI05D52NQBqcQXNaJbNaAViS0hsCUuV+SPSwhaScwoAwjN32PmzTd2Bz/llsM3ciKZWZ1KMJF0kLOlF3NURWdkzNlEwzZds20MMDGUOuLwyfWSk/xGgYZABVQIargVEOMubQN8HeLc/Bti0sWXNEM2+HprbFIAWBY1c7oggdqpX5zEI59XyQwq3fdEihiC6ckEuQwgcriuDCK/NghkpQQy4CDhIFNNwAACAASURBVA901BLe4NVPIPd0CbBJHRoWXHZ8UHPcth344UGQjAGzmHfBSJXtehc6lfePQRq/Jglp+Sk27PQojJEBpPduQXbXs1B27Yatp2EXnMhMdQIY7ZSRXdWP+DHHYeXzz0bHcSdCWby4qffQXGiMQ4/WjIJtGAxeEMxgIIPSXaS1sQv63r2wcrmaJxZUFUpfH+RFi1hU+pz0kWtvwlM9nSgIKQiChJgewytW92DZl7/Qmgvhrc6YBLZs2YK9e/eyb/Fly5bhsMMOa+q5N27ciE9/+tNQVRWXXHIJ3vKWtzS1fd5YYxLg0KMxefHak0hgy86/4aO3fwDPCs4Kk5ANfGLFq/Dql1zRkOxM22TgwwMgDIZ420YGWd2FI2V5Ux+FZYwCZgqiOQ7JzkCxc9CQR0jQEROtojYJwZR6Q8YSMGoKSFaJWVuDKUZhSwmElQiO3WLgxIdGccRDAxBcc1uWIiF54kqMnXECCmedUglQXJhCcIU+aGcj3LHrDmwe2IyOcAfWL12P5Ynls9GNeX9OQy/AKDjRpDSXhz7oABFztAB7zABSJjBuQ8wCgtnAjdqA9BjMYJoZThSLeVdTw93mMKMBoTZQ9VCAHrXEYSbzAQhCUJBgCMERmjieKNAqRHKgLvUQCAk7MIR86bjbLdMkuuF9wD+uLXVr9VnAG//YwIjzqjMtgdEbtoBMJfkDTTwtePtxzuSZ39F2VRNRDsTwtC6m23826eVqTBQBRYWJKNdklM/PhRB2jqPJ8snCzrGdYM7HKe77O4ZyQ4FDyMk2wQ2CHAQ75rLD19mGHpPJ2r+fmYGsZl4rRWa2gua3aBK2kUBQJK3mMCwlcUAYxD57AKPyGEbkFEallC8/hhWdKyudqHeugkKazTMQZhV6EMjwfGBUc/LNNDRc7YzhSp8ItcRD/gqYHwyfRobnF8PTyHC0M3pmQMrNO8WuBx7BwK+fRI/UzxodNveh+6IjsWL986d9EtJwtqvAhqJJpwlMO5VghhEAHDU1pqfQW4LIfg0KUXNgRQWcqKZxEYAZDrBo2bvHBNeWfWoI4/tGEemMIXxMb9M08ZjJwAAsmRiQMM1FF6ZMFSLZZg52fhx2PlUEIR4UEUQT8sJOqEsXQl25FKG1qxE6Zo3j/6lNA0EPev+Px2de27RNRca6baVSKLhQg0AGgxsENfbsZVCDmZmtEcRYDEp/P+S+RVAY2Ohz0uL2oqqmAX/+1o/jmMTx6Nb6YdoG9maew45YCpd++WPtLM5Dvu933HEH7rrrroAcXvGKV2DdunVNk81nP/tZpuWxfPlydq5f//rXxba/9KUvQZIkbNu2Dc899xxWrlyJj370o/jJT36CRx99FGvWrMF73/terF27FiMjI3j/+9+PgwcPsuMXL16Mj33sY2zfrbfeimuv9X2bAqytL3zhC0gmk/jqV7+Khx56iIGXl7/85bjsssvYeW+44QbcfffdSCQSuPfee9Hf3493vetdTb3+pgmySQ1x6NEkQfJmShLYv+VZ/OOe61HIZbD2pLOw9pT1c0I8fpCSLiQxnt2DTG4/coWDyOcHYehDIGhim2MONLHSkO0MVLv26gD/xdFPLgMjhgNIYgNA/3YBS7YBYhKQxgSMmQIeXSzirmMFPLW8+oS2p1VCEIRpmSgRRGUnraZxwsp94KS8zmQg5eN3fxw3bw2qav705T9lkyLzNZAqfxE+MBCRL277wQQr94EK7xgqM/3HEMAo1nPbChznlDUaQlIUMbkTUaUTMbnDTTvRpfVBFionMgy7gLSeRNYcZzFnOCmLbr6ALJRIBKFoFFokBi0aRSjqpFo0hlDESf3lIbcelUty+35wNCr/VtU/1KFHLbnSCmu/VoinHULpZP5zHK0QB4IUwYhb5re7P6VxHdqC9L5nEe5ZArH/uCk1cUgfRI60abUuOWiltCJvA1XLK+uzetXaKZbZTMttqhMx1cbJc7jtd77t+LZwoYTPz0XAt4W7vxUAeV96H3P4SpDjgf0PYH96f6DrZArJAxz0e74wsrBtbsF2gh6NCJXuW6YpUsUXiQdIPA0TmlBsJKSktAtCUi4UGcOonAJiEqIdCXR292Dhgj4sXXQYVi1Yw94vmxmymzYjtX8fOletgtqkVZOec29HA6Pk6DtgVorKGwQZpH1dj7NvMjs1H4Kp6zB0HSa9u7r5Hd/8G3qFoLm0UfsgjvzwKxiwqKVVEdhXZh6KwY5mm3uSfZAioCVRMgMVABdMg6KKiSgqU0nrsjULimbyXqFJLZo8F0mDdJZDJj2Of+x4EE/tfgLb9j+HVHIUcTPKYsKMosvqwDJ5MXqFHsTNCKQcGDCZUiDtEMGAqAkQ4/TOF4cU13z+S6qb45r2O+CUOhs8iGt6VBeiMTDAoIbnT8MBGnsY1KB9kwW5uxvKkiUVmhoO4CC40QcxFIJp6MiNjyM3nnLjOLJufnwkidTgKCjNplLIJkdxVtcFiCvdSAs5iBARtlVsSW/Ci7/zzsm6xPfPkAQILGzYsKGhs91zzz2gv0V/IPOOp556akPtvOQlL6lan77xL774Ynzyk5/E0qVLGVD43ve+hyOOcLQp/+3f/g1bt27Fv/7rv2LFihUMTqTTaZx33nkMPPz85z9HLBbDl7/8ZQYv/vCHP+Dkk09m8OLqq6/G7t278Ytf/AIDAwPYsWMHa3NwcBDf+MY38JrXvAbvfOc7GRghqELnGhoaYkDlDW94A4tXXXUVfvnLX+JlL3sZTj/9dNxyyy0MvlCb8zVw6DFfR3aWrmvzvXfh5m9/LXD2E176Spzz9n+bpR5N/7SGkWRQpFA4iII+hEJhCHqBtoeQLwwil6dygiYjsMxM3ScUM4CdlpC2ZOwNq9gvixjSTQzqOgMjKcsBJEYT/NiS6h5BEw+g+KGIDRtbHn4AJzzXge4xFbpsYXt/BsLZR+ATp3wC3eFudGqNOUasWwhuRVodSHCBaT4E4IEPRlSAhxKMoON00pwohxfVQIRbRh99sxFkVYWsamCpQnkvVitz6kpV6mbvPYD+VKU2zs5lW2H1CMilx5FPp5FPjyNHacbZpvLpXruiaQ4UiZTBkioQpQhTIrEiWJkNuc+1c3LoMbURoYmWclNZHhQh7ZFaQepQA1ohDhhxzGfRhHatQCsa0w8eQHZgDFpnBNHjF0Je0H72z9nqW92aPlxg0MGBGBMCCB+YYHWaPAk2tTsIUBZGQCb6PK2LkuNtB2CUHG8HHXVP9XzNPO5g9iDT4PAgx67UrkDziyKLipCDNDrmsv+HyeQyX6HHZNft309/M9Z4yaxWKV/d1BYaeF/MinmklAzyIQOIilDjYUS7EujuXoB4VyfEmOusPa7UtbJ613v/G5bZ5/jLSQ9CWZjB4iveW/VySePC9AEMY2gQfiffxf1DQU2lyWQndXWVOfv2Ofj2+chgIGOKpgPZc4wALkvd51px2ysvpVZBh1EwQCm9e5mU1w2YBR2WbsIynG0nT757KCXQa8I2LZYHpSalNnM4TtuwyDKQ0xfKs7GnuWBKbYGl5ACa5SFAhARRECEINHXnpKrYOvOapJlW1S9FTZNPrmmoMmDBNCnmAaSY7P6td38qlWKrdw8cOMBW6h5zzDFsNfFMBwLtBN3J+fijBx+tOD39Bq3rX8fi8QuOr9q9Cq0Spj3iaJcYwykYB0ZgjKRZma0LgKhBkKd23zITkUVH7tV9k/hNdElu3Wbde2TqNbN5CHomj+jSToTWznGz1826oWzb9Z1Bpqdc81MENPbugb5vANbYuGMSVpQhMNOwsuNzVZQguKncuwhy7wJI3T1AohNWNAZbC8NUNViSDAsCjDxZTyjAzNNzVoflPmud5yk9M233Oeg8C0WBUqn4bAxuS5AECbuVJO6Xn2XQg0K/1YXnZ5bieV//p2ZJh7czTQkQ9PjiF784zVYaP5xMr37qU5+qeuD//d//MQBx4403MhOtr3/963HKKafggx/8IKtPIOLEE09kcILCN7/5TQYdvvvd77Lt22+/Hf/93/+Nm292FiTTnAFpgBDEePLJJ0Gms/7yl78Uz22aJt797nczKPKd73yH1b/wwgvxgQ98AOeffz6rR9oljzzyCNM4Iehx//3340c/+hHbRwCGwMxvf/tbdHa2ds6vcUk35wgOPZojR96KK4Hf/OcnsevJxyrkcerFrwNNlNL7N3sJFwRmQ4+lTiHbrlZWrEs12TFOXdaS1wY7lk4bLHO2qbi8bV95eX+q9rGsjeL5feWwYVqjMFgchmklYZhJp8x0ommOMmBi2GPul0k9t44AQeqEJSZgCnEYQhR5O4ScrSFjyRi3RKZZMmZYyJpk9itb8o3CtjPImc6PNfsepm+gYmqzD6PX3b4Mi5aNI9RJ4EBEalcUD3Tn8fTyFCRTgGJL6JY70CV1oEOMIyFFERejiAhhRKEhRNFWoNoyFEtkH3YMQgQghk+ToggjnDLLbMzcQz1Sm6yOIIpl0MGFET4QEYQNLpSoC1ZUhxpSE22T50ZS2PaVOxBHycHlaGwIx376oskunWmkTAREyssZMHEBCgMpmTTsSdSIJ+sA0yDxaY4wjRNPsyRQ7mqb+MrYc2QeBA49mj+IzLE6+Q0h/zk+/yEeFKl1RjL3VvQjEtAWCUOKKjjwzYegHyhBbfp4Xvi+k9gEeqOhmobCxODAgRSeZgQm1JJwP+om06SwG5gVbfTCJqsvCcxEE4tkWmSCPALl7jH++mTmqcbxTrsCUhv2YvzuoCNVGuO+j75gsp7Omf2j+dEi5CDQsS25LdC3nlBP0R8HaXIclmiuTeLZFASHHo1Lv9yUlrOtIzk8jGwyBSNVgJS1EcqrkK36HdPbNA8VlaHGQ44pzJgC0XPSHlOQ+ssG6EOVpp0E/XYIsg5jeBTW8CiM0STM0THX5xFNaLl+jdhEF207qeP7yNkWo3GIiQTEWAekWNzZjkYhRqIQwlGIoTCEUBiiFnbcAzAAQTCCgAFBBC91IAJ7lrL9bj0GETx4QFDBBw9cmCDYjlaAlzY+Mu11RLJwEKQ1rFsFGFYBuu2kE+UFVYQU1aBEw9ASEagdMYQ7EogkOhBOdCDS0VnKJ8h3Yv33XntJrvW9JS11mhijlbv+8La3vY3ZpW9leGroKQY5PNBBFhT84ajuo4rOxwl00MRyswP5Zsg/uQnZJ59F7tlt0Lfvg75vEJBCENQoBCXmpGoUYrQLYqwLAtNoUzz3IQ13iS2Q8PsrCeQVtmimAqaULaTJb03i4I8fcz/AnS5ETl6I7tce2XB/JjzABnu2MTjqPuNo5WQx73vuOeXOvkB971hacem14W/Pa8O33ybAkM7CyuRg5fKw8wSonGcvax/us70MZMy4TbgpSPr/aXeja8njsBMFiJaN3FAXEgMn403/9Z4ptMYPaYUE5qKmB8EGghgveIHzvfH4448jl8sxCEKaeeXQ44c//CGr40EPAhKf+cxnGNh49tlnGSwhH6AEuOl6CXr7oce3vvUtkMmua665Bh0dHQyOEFD58Y9/zDRJKJBJq+9///v485//XAE9SGPk0ksvndcO1zn0aMVf3yHc5k/f/07sTKexe/FKmKKE3pEB9B8IrkQ8hMVTvHRRsaBEDMhhw01NJx92UrmYGpDU2nYq/fI0CyL0tAI9I0NPU1RYamRl6BkJBpVnZVh68EV0xTl70Lk66OB0y83LkdrdXNMHE409fQCVNB98cEFVIZVrQwS2/doSlVCCQYsJtCrmi4mmXXc9gvTBUXSvWoyFJ8+ME8pCNutokGQqgUhRs8TTMHFBiad5UsjWrw1V7X6hcWNmuHyaIxOZ5GLlxboOWJkLH9vkOG379u0M2pLtzb6+Pv5YnAEJ+E1mma4Pkbocqyuiox1RFtSlMSh9UddME2k90EdeCVJMBDJm4FInPIUfODC4UAEPqkAGRUQRREwALEptVT+e+aOYhZW6z/z2QWx55jmmxr6gtxcnv+o0qMvmri3ttJ4u+uMgyPHMyDOBsSRH435zVas7V8/m7dTSc3Po0VLxgrTX9h7Yhb0DuzA0OICxkREYQ+OQxgwk8mF0mnHErQRiiEPB/FhsMH2J2rBsC/SPHH9T3qYt23RTfxnto3IbtkD/ByBS3ll8xJ6HxHbclLYFSQT5rYIkQvTyMuUlCLIEkfKyDJFWrLOUogRRUSCR7wmWUiQ/Ewpkllcg02IR1j6ds5Q+85VbEcslAmIZV8ew+pNnIzOWRGZsFNkkpU4+k0wiy/JJZJKjbnmSaas0EkKxGCKJTgeIMCjiwhG23Ylwh1vuQhNnoduhGeg56I80mUUrfsvDokWLsHr1amiaxlb7UvTy1cpo/2SBfERt3O9ochDoSOaTgUOWxZcVNTnWLV4H+n2arZB/9lnkNm1CftNm5DZvQm7TZpijo8HuSCqkjl6EjjgWysrDoSxeAXnBYlZmZcygo3efxgnTpmo0CEIAlJgjOZhjlSaOCXwIilQEDEyDrAgWSkDCARN+SOFq2vqBxFT62eh1NbG+8/w0QfCMPVfZc7SUp22rYtuCLQjsOWpDYLya1k1aEEF6HKTxYUNytyWYEGGIAixVgsRgFWnzAoJmQ1At2LIFS7ZgSyYM20CBFgWymEcmm8Xgyq24seNcHIDj9+h4PIKLdzyId7/ZWZHPQ3tKoJU+PcgHx2tf+1qcccYZ6OpyFqaSJsZNN92EK664gml8NAI9yMTVM888w8xTETAhbQ3y/+FBD7oW0nQh8HH00Uez842OjjIzV2Re68wzz2RlpAFy55134ve//z2HHu152/JezyUJXP5fX8PP17800KV1D9+FDy2Iga1yt236j30EOHk3pSP822w1qlO3WM62vePYAb5tt66vXVZ3wjaoWe/c/r5U71vpvP5jqrXh9rf8+tj7Ull/WR23vmXBTKVgjpMzt7zzUUSBYECXAqVLghy1IIXyELUCZE130pAOSXNjSIcg1v9ipmccIGIVJMSWjFfcRskdCQw/fDJkWWXmlWxZgCUJsEQbumRBFwzkBQM5FJBBHmk7y+KYNQ5DtGCKNgzJZqnppv5tLx8ORdAV6WEOVXvCPaCVq15KprXYtlvWbPvTc+lvZ6p9mVXHoVPoNGmJkLZIwPwWgyfVTXGVyh0tk6n4RfF3UwmF6tQycf2buGa8HHNeja/qLxfRfffdxxyP+QPZ8PRWg0xBpPyQJkigwrH6kOtYfbi2Y/WGT01ahww0TAIXJtOECGg+eG2WtCiC2hK+8oY73L4HbN68Gb/61a8CF3DMkiV4zTveMWcuqmAWAo7Hnxx6MtA38tVFGhxePLK7iatC54wUqneEQ4+pD5CZJI2KUbCU5ZOwku42aVuw8lFWXqozyt63vWAJAnRZhC5J0NUw7EgH7FAHoCUghBIQ1TgkNQ5ZjSERXY6cImGbdAA56IghhCONxZCYmx69CAYqYYEPGrgwoQQSCCzQpJcLGBhcKOW9fcH6VNtkQIJ9ZxQBgg8kMIhAz0SZaZuVQwSJIAJBAwIGBBUIGrjbtDiHvmUoknlSJ6VtWoDjlJfyThnTZpmjwRjIYNsP70Y47bzbZCMZLHvLOoSWdTTUY3o3IxAyGSBhwCSZZOPTSAgnSGvEpy3iQpGwW8Y0Sryy+OxNvNd7TbTitxxmTLRdb5uN1iOQVA5HCKalrTRGjBEcyB9A0kzCEA0YgsFSTdWwZsEaHL3waJzQfwKWdi4ttlEPRGm0j9Otr+/bVwIhmzYht3kz9N27qzYbOvJIaEcdhRDFo52UnF9TsHKOw3bP7FYtk1zFOtnGQOB0r5UdT++XTKPWed55AJWVuc9CJ08LWQQGXOl5aWQzMDLjMLJp6Lk0jFwGei4Lo5CFrudhCBYM2CzVWWRowvnHgIULKqoAiuJ+X12a41AjYWixiONHMhqDrIZBNMK2FOi6gnxBRD4vIJezkS8QrJVgiyJsUYBN8Fg0YQsGbMGELRoQZAuCYrFyuibT0mFa0xuDUCiNa049FyMImiFbb9yP3730sqYMGW9k9iRAmhi0CJGehaQl52lETLdHZCLqZz/7WVGrw2vvrW99KzND+PnPf74h6EHaH+SzhKCGrutMW8Mzb7Vz506Qlh9pabz61a9mpyIwQv5A3vzmN4P8lJDGCIEYMsW1fv16XH755Rx6THeQ+fFcAqf/+m94dmHlC+ebtltYFFHRGVHRHVXQHQ+ht0NFb2cYXR0aFLLXygOTQGHHTiRvuB5jN9zInHp5QTv8cCTOOw8dF74KSr+z4sAfLCvP/I7kyccI+R9hfkcc3yPkc4SlbiQ/JfUGSYpA0/qgaYtKUV0A1YtaLzR1AWS5NO7DuWFQHMoOYSg3xFL/tj9Pkz71BnLIXgFEPFAS6mH+RzxA0mo/JPX2udX12g16TFceJdNcjp+SgPkt12+JX9vED1gItEzLNJcgFJ28B0xyeU7gfdonfsfwoqLChIC8ruPqn/wERpmJIUUUccFFF7GPR7L96cXybZk7kJ/u7TOl4zMPD2D4109XHBs+pgfho3vqMLXkM8dEH548TFsC9Nyjl39S86bUi/7tO//4RwxWMZ14wQUXsNVXtPrVH2di0oYWUNDKWbKFTpocjww8EpCFKqkMcJAtdEqP7T122rJq1wYOeehBi2GqwAsGK1yQ4cELyw8vksH3O1MUHHAhidBlCQVKadsFGmxbdvcrMnRZhi4JaGS6aHH3CXhukcYmwrzQZUcR3fk09tq7ncUvItzUhuUtiBFtpsHgaDE4mguS7EIF9nuoQlFDUFVavR6CptH7aBhhLYJwKIqQFkEkFEM0HGdpLJRAPJJgeVGq7aepXf8uWtHvbDrL3o0i8ZnR7iYnwgQ/mPZIOSwp286OBbXQJ7t+msAic1pFLRIfEKmmXULvas0IpE1YL8god6Bb6/w0aUUTWF6k3z6y6V4ejjzySKY5nM/Tt2ChmPrz3j6vzFkc2JzgQZRa2iX1aqFQPXoPbkWgBYZ5AiAsbnbyT1e+39G5laVLHQjC4loGRZR6NbPJYp7rm4TS5J+2Ib+98l6On7kMcqfmQAoCEQQkXEhRypeVufUIYBB4yGfTyGcd7Xv6znEWlZGz7nHkCDQOHEB2ZBi5sTHksxnkC3kUTAPTMSxNE6taOIxQLI5QogMqgYtwFHI4AikUAn33QFYAmfxtSMjlTeSzJrI5A/mcjny+gDyZujYKMG3DhRgEMqbTq8o7hu4lKRyGHaIYgamFYKgaDFWFoUjQlTzyYgFZ0UAWBjK2DbJHkLYVpJDAAVRq4i/Bfjx05itacXvyNueBBN7ylrfg2GOPxUc+8pHA1RAM+elPf8rMTJG5qpNOOgnvcBdhVTNvRXCETFERmCFQcfDgQdbemjVrmOks0vT4wQ9+wJyc+wP9ZtA5SCuQnJmT1gcF+o0gvx7xeJw5QydwcuWVV7J91Db5HSEH6qQ1OB8DN281H0d1Fq/puFsexsFw45M6ogVopo2QCYQhIEKOt4lUyhLiioQOTUZHSEZnWEVnWEFUFhGTKEqISiKispNSGaXaHF5Z1cjwZB58EMnrb8DYTTfCyjp+OShETj0FHRdeyKIwBdu4uj7qApGDGEs9geee+3JFtyQx7KiZWvVDCQIhDhzpQ0hb5IARrZelBEY8UCKKpZfZVCFVBCMESIazw0FQ4oMmZPqj3kC2ZIuaI66mSLk2iX+7FbZn6+3rVOtt2rAPz/x9PzJjeXT1xXD8WUuxeM38dEA1VRmVH1fNNFcJnrjaJuVmuzxH8BnHNJctSbAlBbYkw5ZlJ6VtL89SZ79FoKJJdo3po1KWJSiyDEV24YhrxkB1J3AnAiZUPhlUmYlJ32aN40y2M7I/gx1ffxC9tHrODWnLhnrx4Vj5wkoAPZN9m6vnokmdaiCiGqSgv0kWcznouRwK+TzzCcWgBgENw4BhmNAtihYMmgxuwYXT6NIvkyqI0CQRqiRBJXN6igLNNRXCPvLDYWjhCELRCMhMSyhOH/2JAEDxm2N56MBDRcfjBDv8gX53PMBBkOPEhSe24Mras8n5Aj1sw3A1KhxYUQIUtTUvrFQqMHCmKDrAwgMUkohCMR+EGIaqOPtEYcp/K+Tomt3fNKkVi0OLxaFEoixKoTAkTYOoOZNbdz+yAUa+cpIy1TsCe4mErECawGkWx+1xZHXH31zezLfk5qS/q7AcRkSOIKw4KYtKxClXnO1G8wQl51vYsvW/MTx0P9PG6e4+BWtWf8y1vzV3rtQzpVUyreWa3nI1R/ymuGjCt5FAcIzMaxX9jxTNbTmaJYIWgi0rzGQzLVjJFfSqcIO0N+oN9K7lBxmUj0ajFWVULlX5xqPJMz/4WLBgAVvVS21MFuj3yPPJ8fiBxyFbshNtJz0ycSSOiB+BldGV6Av1BQDKZEBlsnM3sn8iiNIIOPFrstSEKJbFtECK5rFcKGK57/z+fktdnUUQ4mmGaKsnNzP53B/+htDfBaSFPAg3JOwwRqQBHH/FJY6fRQIU5cDCgxcuwAiYD3brG4VpPEMF8tkpuBprIcj0XI9EIEZikKJRCJEIhHCE3f+Es03bhmFaMEyTvZv5gVojYztZXVlSoMgqEA4DpGEficAOh2FqGnRZRUFRoMsK8qKMnCg5URAZrMjYAtK2DXpHHzct5Fpg8mulNIj7zjhnssvg+7kEmioBgh/kZDzSoNWJAwcOMH8g5OvjUA4cehzKo9+Ca3/x/z2Op5XK6Yj1Sgi6YSFtWshYFrK2jSxs5AUgLwFW45xk0t5rosCgSEwmECIVIUlgm8ETD5h4AMUBJ3SMkzp5am82w9if/sQAyPiddxa7IYQ0xM95KYMfsdPXT7l7TzzxPhwYuCVw/EknXoOurhc62iOkOeJqkLC8q0GiMy0S0iAZBIGUegMBFb/miKo5QKQIRjTK90JRgiqlWSNbXXPEAyU+QFJue3ayvpFmyITmtVxtEg+SkMbJbIdtbG4hNQAAIABJREFUjw7ilh88FuiGEpLwr1e8CKFoa1ZIzfY1t+r8mUwG6XQa9aa00q6RINg2BFOHoOswQxGmgu4PgmVBTo0y1W1y4MpUuAmUuHly6Mr2zYBda0kUGViRJQIrMmRFhkraJwG4QituNRBoaRSy0Oqw2QiFnAE9Z6LAopcvpVSu5wy230u9eqmRPDLJPPoUAZKch2XJGCg4JqO0qAJJFpi5FEmmSHXIZIoISfLlqZzstFep45T5jnWPc9px2nCOdfNeuXvOQHmdmiS1NCQ8DYoijMhkHCBBK0irAQnThE6RgIRtQydTlS0eZPqbkg0DkmFCNg0nb5qBssHeXmSqfBz079sHSxShux/OBq1uVxQYTdSkkk0TkqkDZgECmViwdMDWQUYiQrKCeCiKrkgnFiYWsr8lBlIiZOohijCZe4hFGUiRyWFzOAyB4hQWOLR4GFra/FyDHnahUGEyytO6sMo0L/xmo6x0cLGGwTQtHG2Lgmc+qlwLw4MbquLUE8lmeX3B+R2Rir8hgqxCiUahhCPOKlyCFaoGQVEh0Epcuq9ExxY6RdO2YJoWg43ec4LSZq0Kp98A+gD3osJ8T8iuTwrSigNs2WbRkAwWC0IBeTGPvJBHxsyA3gUJmlD0AAor052yRjSI65OqU4tgigdP/EDFD0/KQYsfulTNKxEovoVAjfRnunU3bf4E9u79TaCZvr4LcczR35hu07N2vGWajvaIz+9IOSwZHxtj4CKTzaFgmmxS1x8ttqDFKas30CR9SFURCYcQi8YQ70igs6sLiY7OAMwgMEHP/OmGHTt2YPeuXehdsICt4J0obB7eHHA+rtNvkS+s6VyDFy5+IU7tP5X555jO900trZJ697VqIp3Gp6pvE0+7mt53aVGRJEOmdyvyozOWhH3wIKwD+2Ht3Qdz7x7YI0mINv2mWyATgBRpwZO4cCHEBb0QurshdHZC6EjAtExYugHT0LHj6acwFu9HLuyMPVmjVg/sRGh8BKYeHJNa94YtOs9rtvhKlEBwWoLAnk0C/RNovwD6bqBnO7uHNQ2WqsKi9xxJggGBva81Mwi2BIqwFRQkDYakoiBq0CUVBp0/pMGKaLDCGoyQClNToKsyCorzO5iB4IAKBitMFJoEK+iXLYwswsiwNIQsIoKBqCQgTnNDioKEHEKHGkVCi6NL60BnqAdxtphWwjsfewS79KBp4zcvKODLx57STPHxtrgEuARaLAEOPVos4EOt+Wv3DOFjzwQdl78sFMa1L5z4hYx+2EbGCxgay2FkXMfoeB6jWR3JrIGxnI5UwcR4wcC4YSJtWMjYFoMlBVlgUXfTguyUedtFvxhNHISIT7uE4AmDKq6miaN5UgZLAhoofoji1FOnAFLITjPBj+T11yP31FPFq5MXLkTH+WT+6kJoNV6AJxLHpr1/wpNDu9GhhfHCJacgFm3MKbZhjBfNajlgpARKHBNbJfNaltXIiqieovZIEIw4ZrU87RFJCgcujV7si1oj1UxslYGSRm6TmBILmNIik1oTaZFQ3UYDm5jNGizm3bQ8v+2xQQzvrdR8Wbq2C939UcgqOYeXoKgiZM2XZ2USZE1099M+pw6Vt3sgIFEvvPDqNXrNNFlDKy3o43WylOp4ZqkMXceXP/EBGLGFgVMqqf248IJLQCu2jHye+S2hPK12Z2Xedr6AAqmls1XwtPrdWwVvsNVX5CjNgSMuOCmb/PLvYx9N7OPIqesd06gsGq0vCgIIrNAkvkw+i5jWiqu5ojraK0xrhWynyypkyYmSqDofVJYI2yI7KQJsgxyMA6YuwtJtmHkBRt524UYQYDTaz/L645EnkI0POw5oAWjpCBKp50+32QmOJ2e3pOZPDhuDKQLbVfaR2iSrYwLF4916ZOteoA/15n7sVrsI0bTgTPx7IMIBE0VAUYQVJsgIjSwKUAS6J0jDwpl8YLCNzNvQPRFyIZsWghYJO+YTQgQDKA3mhVAYYjiE+35yHe6Qg4swFg0W8LaPvgt2Lg8rl4WVzcLOOqmZzSKfziCXySBP+XyOmQghEwxkmq5gGMjTxzhNCNs2yMx0gSYPPPNBBFHc2Kwbg+Sn6LoTDROKZUKxbdB6cxUCe4dgGim0MIPkpKhs4k0LhaCFKYZBpvgUWr0ZDrsyc+TjwRRWTlClDse2zbquydoZvuZajG96ik3Wx884A7EXv3iyQ+reb+VysMr8XRRNRlWBFwxokIZGNht8x6hlJso1H1XUzGCATWL3jAcES89d33O4aLfcLWPw24HeBChEVS2ZDSFYIYjOxButwrVsNsnWRIs1xeulCUNJlJ0oyHCm2eTiMzlbGIcuBTVT6GDFiLNJObK9brmRNIinE0RBgiyqkEXF+X0QVSiSk1dkja0Qpm1awc98d9DvmySAfj5oMlC3C9BtnaUFlqc0j4JVQN7OIW/nkbco5ljMWVnkrByyVhYFi3zuOc9Q0owo5n1lbJ8bvXpeWem4IBaWBKmkfVJNM6VMY6UIT8o0VjztFk+TRRaDJr7yhQEU8gPIUywMYNOmz0EQyg2ZCTj88E9CVXqgqk5U3DybUJ2jgWD9ZOalaHEL1WnEvBRzj2CZgKED+RzsfA6CoUMwDYiUetGsbhBO0UJljtrJ/4ijRRLQLnHNcJGvmMnCbddfi4dvvB5CKg9bEdG37iS84b3/wQ7bndpddDxOGh0j+ZFAc33RvoDzcfp+aWUwSdPN0Jmze5rc97ZZWrZtlW3nc6XfYOfd1zVl6WmSmiYbS53efy0ThknPQItpJNCcOT1p6NnInFs3fdEQLWayAMsELVwS6B4J5J0yp9yCGeuAEa00/60N7IYgknk/emY5z3QKtu081wluEIQzJQlmExdm0Dk8Z/ekWWFLGnRRRV5QkLMVZC0ZGUtE1pZRkGQUZC8SpJCQp98zWUReEaGrTkqLWM0mrQ9VBAFxWrQqWogIBQdc2ONQrSRUaxiKOYSw7UAMB2bkilAjJgno0DrRFepkAKMjvBAhrR+a1o9QyEn9Fidq3f+Pp7L4wrPP4NGUAU208bLeDnztqMNb+SfD2+YS4BJogQQ49GiBUA/lJu+66y787LFN2NO5AKSK35MewytVm6ndNisYBQvZVAGZsQKy4wXkxnVkUzrLU5obLyCVdqBJMqczzRIPkDhpEI6U4AlQUESYIRGGSlFAQRLYj3hOAHItWLtK7wZkwssxzeVqo7iaKZ6WSdGE1/9v70zAJKvqs//epbbee2YYYJxhUUAQIYDgRlSMihAIGEXFJdFoFNz1i0vUKC4fQeMWH1SiggkmcQGFqIDoExAVlY8RRQVB1pkBhhlmn+7pruUu3/Oec29t3T3dPVPVVTX9nue5z7nLueee+p1bVfee9/z//zo3Xumx7Pr1iH5yI8If/QjZ9Y+gUCyaQaX8kUda91cvOhve6Ois6D+/diMueuDRarljBgu4/JjHY0Vu7rOcZr1IXQFrKVKzIKmKJGkMktSSpLJ1ztW6Lv2zJ3FHssthrUcahRG62qJQUh25rKu9Gn9kOhdbaWyS5FjzTKn6RvpRFrmggGyYRzYooD8ewhJvGUawBEPOCPqjYfRF/chGfchUcvCCDJyyh6gEBAzYNhkgnuMMl9WH5/GHg7OYzDkYHY/wtD8V8YQNc58xNB3cqYKIFUUYd6cqohjRJBFPKJik4krTfltXcn6y7s5T6OMLzUwixviucXCZ2DVhynApFedv6u3lPKSLk3WQLnE2RpyJEWUihH6IMBMi8AMzYBJEAXgfMA/ioGG7ur++TLI+sraCk+8/HHF+0ASNdYpj+NmR96H/iFXoz/Tbxe9Hf9auD/gDdl+y3XzclM30I3W7QdGkUieUUDAx26VUQGkSVepEFpblQK95uSxVai6GgopxLxTQBzBfMs0LJgd9GFCwSTSpWqmk1inJ8XR/y188p97FHNN3OKYUc9zfgRNz/psLDpZxcMl1OZOPix1Ut/7ic3aAuJBHoa8f+T4GvM+h0JfD2j/8ET/e8Cf88cBDMJ4vIF8p47DHHsYzi8DzXnGO9U1cLKE0UTSD5iUzaN7oqsm6aSJHClS8XxhokZYRofGDb17SHROCF7FpfHuTnZXnmkFLOzsvXZ8+54hhrXxjmannzjwwxu53GyxZ5mAhkwQebrCimdZyxlrTpBYyf/zZI3jwntUoZdebAUo/HERfdCLO/dBTkR9gkGH728X2zCfdt/0+3PrordUA5HTRyJSr2OWYgcNx3MDROLLweBycWYlgkveGFVKKk+kgTsm4hyhxNj0XPqdQSDFiioMKFw52tOj74kZRVTzxKwEyQSKkVCow2xRVwsAKKQxwWxVS6N6L35GMFVJyeWN1YoWS+vUCrNg0db8RVBIhai7Wag+d/ybcf9dd2LhsKXLlMlY9sh6HXXCBiWdWn+h6ZMZg3buxvIhLjf8RNYuLWqyLcl0MjFLGRzmbNUsllzWDPzyn9tuX/NZVBYuaUGHF5JqoYdeT8vO56eZc1jEiskcRwPXhOlakcChSpN91Ixq7iAMrHIdlB1GFv5MenKj2m5CWT38rdteEyC1j+9LbEXq1CS2Z8ghGth475TQrCNCHuxVCmBtRxOQ2KO2U/XVlarLRnKE0FHRiH25EwcaHE9Wve3CTfVPKVPe3btC/XjxpEEUooCSCynRlptuXyY8hm0uW/DhyuXFkc7uQN8sEcsyzdP6yd/8tUdyPKB5AiAFEGEDsDCByBgBnCJE7AMcdQuwPAt4gHK/P/LZSeLLzL5gn2/wPoJDH7eoM9dq62cegzLGD8mQZpckSyhM2L03UluJEEVwYk6RSnvuzbzaXtZNW+vvQP9BvFlpnGDdTA/0YHBg06/R97nE2fTKTnjdSpVQ08Uiq1iOMS1K/bdZtrBIu85nFz/qzhb6p7raGRqqB2kulSdzwlS9Oufm3PHMJ7txvEzbu3AAvAtzIgRfTVXQfjhk9GkeNHIknDh2OpdklM4gQFYSJVUJVqGjabhYq5iJktEWF3bOvfvJbnPx2JxZuqcUbLeIcigqMBWRc2FpLClpdUzCJmCcCihFT9kBdXn3IUXhgvxWoeD6Wju/ACevuwf475/6ea+4P1zUTQkw8MuP6qd/EqwjzeYRZxqvIGtdPXMpeBpOxg/EKMFaJsSsExkPmNm7FhBOj5DtmadVE0bzrGrGCYxe0lhjk+AZz37WWFck28z43RCbYjEywEV7lUbjldXDLD8EprYFTvB/eDAI53/cL+ZXIF1ZaMSNPl9rMD6yKG80TIffwlqmeRsE0dRO8t3XpfBEQgYUnINFj4Znv01dkIJ5HH60Nnqcf9ogjjgAD69BclDN7uaTr0+3b3fHm87g9nc9TXpvm+JM7K5gYK2NyZ9nkViShYGLFEookdr2M0sTMoRsZhLEqnmSslYkzmIEzlEE8mAH6PYQFD0HOiiblpEzJhbFM2RWGxr2XcfGV5MUWm5fyM3NGUl+xiEJxEn2lIvqzWQyNDGN4/+U1t11GWLELn9s+dv/6KfflGfuN4PxV+5mJzRx3MWaz1fWp25ybYl5SEknBnjPDedVjjXXbOmrnxDEHcLegYtxnbbEL182yCZXyVgRm/2ZEIWdhmmHY6sIPlW7Xf8BMhkFsGZy90a2W7y2FEy8BwlFEwQjCUr7J2oKB2ALsGp/A+K5JTPLlazJAZTIyooX1QTG/AbTpfhBCL0CUqcDJRnDzAN1W5Qq+GYDtHyhgaKAf123bicsPbrRu4YvO1yYHsGIwj6AUISiHqJRDUCg06yW7zn1mKQXJfns8LEdtfz+JvAqiTAkB3QT5JYReCaFbBgdNIqdiB0NMCNVkftYevKOXvBLMQncYXgllL3GNke5Pjpn9XonDzAv2u/w3N0Z47h3LcMehR5t785j778B1T9mKK561d26f6B6jKpqk4kmS09popmMUTXJRAdmogEyQgx9mzX1sXUE1uX+i1RFdQE1WrJsoDkRwEMLEYqCYUkFM0wv2HwMTJjnXAR4LgKR/Oahl1jnIxQEel1YIRqVAlOSx+UGgCMAxef4w1A0g1rn/apgx3aJB4vobgrPcvvXU52Mim2+4T178m59i+VjjLMpW3EhOHIGWEm4Uwg2Txaxzfwg3juDFMdw4hgcusIuZje0YYYcDSpzpzAEbk5tZzxkzGOp4PhyPbm1sPBpwlp8ZjPURO35i/eMj5iTGCCavrlOcoZVNFNtjnMRId1Z2MiMizrQMk/2mDMubCZDmmP3Ls7+Rdf8WdUI0+zn9F0nLVv9VLN7q8fS3tvrvVKvHcRCW/4TKrusbusTNPAHZgbMb93kO/Exi8ZYIIV6SUxgpuyXsCLZic2UTNpQexa54DIFbQeCWTb50YAkOWXIQDtvvCThyvyMwQDdCFHkzLrxEFE4FFubzSZy9bKxNuOzaBQb1ZW4ClE4kVimcDcuFomW5jHKFFimBcduSCil7N7e+1mK6FaNAMqNwkogpVSHFWKjUhBXGW+OgPK1SGFzUCiippU7B3ESfW7IffnTSc7B5YNg8zzxh03p86JuX4YiBgQaRI65zCcLfiGI2i2Iui8lsFqVcBqUMhYqMWUrG0sIHXZkFfgZBJmNnzvIZqGrxlooXTb8zbfhNIVHjGtCnhUKmakVBkcIsiciIiFNnXcSpSGGs2ug1zTGWbTVhok7AnM8NlpZ1gGzeRzbvIcOckxqS7eq+9FjeM2X5XJLmG+7fgeuvuRd3HFLGRM7B8K4YT7k3i5e+/ySMLC+Y3wH7m8Gc3Wy3q/vMb0N9meT3pXpO7bh1f0PxkPe8tcQql4soV0ooVUqoVPgdKKEclFAJyrUlLCMI5x6jbjqMFM+tpUsGXrK4YH9RWMokYopnclBcCX0g9OCEPuLQ+vJNP+dcusnP74Rf2A4/v2P6vLADfn57ovLPXmNQHEYwyWUEQXEEAwf+3tRbn4LiEHauexr83Bg8Xp95bif8/Jj5f55rikMfQWkIYWkQQXEQIdeLg2ZfpdyHSrmASiWHUiWLUujDyP+efRaM3eRZ0J35nWy6dhgXbckMeT6KmwkFDp9EIgQOlxAVN0TkcOGzhs35HFK/zf1WXEr2J1aSscvnESoKfCaxFj18FOE6/9aYm20+w9B/kUs3jEC2AuTLLnIlLo5ZstUFyBYdZEoxMsU5d+Vcu6Hj5Tw/Ay/jw+R896dFQ9O22c//hPR40/bcj9fq4DVpPZHW2dwGc5zPP3uYOL4wW4yTifXrMbFhAyY3bcY391uJnx/xZw1X6y8X8fc/vda4HYwGhxAMDiEcGkZlcAiVgUGU+vpNvAobqwLVOBVjQQgujFnRqpSLgD4jklm3TyaeapaxVDMYyvpGvKCIUS9aUMxI46um+zmukKYwpNvgNZiYXIvJiTWYnFyHyeLDKJrlEcT8M5g2OSgUVllhI7+iJmakokb+QPje/L0o7A0riR57Q0/nikDnCUj06Hwf7FMtuPjii7Fly5aOfCb6CZ6LoLI7kcW8kISc9UaXKXyxpMuU2LhMsW5TIjPAXeayiyM+dgaxnenauN5sTcA4C31DWfQN59A/nEVhKIvsYBbxgAcMZBD1WdEkzHvGhVcqkOyiW69EJKGfy+r+hvVUSGmdH8yOdGKbL9ooiFAcqRdFUrHE7qsKKGbENRmgM7vt7DM7Epuu8x5IRR47Jkc3PlWRyIzNsYCtl4O8dk43X/MY0i5AGHOpJK5n0gdB26aaEpFMX+eZ/v6IvKlBy/vCR5CPxxBzFDKmqwsugckjk6eLNfzmAKsxAo+tR2++u7kMbBe58JKZYl7IdRde7MJP1n1uhx6ykYdM5Jn9mciFHzvwI8A373sxvLRe40KhQo/h4MAZj9Xn/JyN+yKzTapuxMEEuzjV9Wzdeu0YZ2iGFFa8ABSPYi9E5AeI/RAxVSE/QuxHcDKxWWdOd9pOBib3sg5cxm7IOmbgkrmxWKE1S85DNptYCbi+8cPN2bRczLrjwy8FyJQjeKUAfqlicq9UgVuswC1V8M1r7sKXzz4D2/vti8HSsRBvvuoqPO+wGBUO2ARlBEHJBDYMuM6BmoAuAcpmdl4YBsZNQBB5CCMfYewjijOgwxvH4aB8HnBziE2eR8x9Js8hYu7mTW4Wj/v23rd0/dfWC4vwgxLcqAg3KsGJuF6CEzO2QbKYdcY4KMNFxcQ7cCiWxLw/7P3p8PtAP/OuawKIcp0xF+gLPzABej2zbfwT85hn1+lCxpTjTDcOcHJ/Wo4uAnzWZctGHPTkNUzumWtFaZ64COPsvrFCPzYPTv2uje7aieU7thjrOuPGiXmUxpdI84rdz4FfE3uCA8Bcr8BjHpSTfWV4QdkMELMsvxtK7SFgXbTUhJX0n8D+YjMlx2YUX2Yvk8o60wo0nOHM/weXCy2QbG5mPZu8tm7d86SzpSlk2cWcl6ynuYn7ksaNMetecg37ecIYJuYKRSqu07rIBCal640oyRkwPgitRZdxF8LA8TGC2MZr4XmtSh7dnZm4LMn3IgjgRDE+e/ZrMJlt/F06Yc1dOPXXP0OYfJ8pWES+nYnL76+JgdQmcYJcjZ93PxEp6HLNz9nB79TVU5MVRRS4QMVBWHEQUaAow4gUjNtdtbjYS5C8h6zw0ChC7F6kmE7UsALG3qSHimW84Jd3YXudldqT3AxufM7Re1Nty8/lQCUDTtcvk7TAatrH7en2U4Tcm0R3MnSP2T8Qoa9QQaFQRC5XRCYzCd8fh+eOAe4OIN6OKKagPrdBTc9dCt9dBo+Lw2UpXCxFHI8iDIdQCQdRqQwkbvrKKAd011fBI2v/hBtO6MOd3pPMb8RR0V14/m93IVfYzwg05vEwEb257bm74Hu74Hnj8P1dps1+xuZeZgx+dgx+Zhx+dtzEv5pPCoIsKuU8ypU8KlzKaT6AsDiAoDSIsDiMiEtpGG6YTZ4LmfN5cM8HsOfTzj0tm4oqUwWWRtEljieBaBKIJxFHk+YZittuaJ+nMqVJeJWdU5vByQ7ZAnw/a6xZrXu3poWxJzgJIrEGs+JDTRzgb5wRH1JRIpMxcd24z89yPQvP5HbbxOOheJuz+xn7jfvdRLxg3d2e+B/IYNechFhMAl+bdbOd7DfbaZmmfeacCKX0OPNkn63Hbq+fKJpn1VanXCWGWQKbZ9PtZB+FDIoWI3kfo31ZLO3PYulwDsuGclg2ksfy0TwGM/4exS2lW+vJybWYmFxjRQ2KGZOPVIUN8x46Q+LEw0JhJQr5VVNEDbqg8v3uCros0aPVd67qE4GFJSDRY2F57/NXu/LKK3HnnXc2fE4KEWeddRboa5+uPczLdJLXrzcfm0uZ+vNbFWSxdZ1kRRC6BLGD40leFUls0DErmJgpzUkZ6+ueD5PZZMnl6Voii1xf1sz2z/dn0TeQQ2EgZ/bXW7/QJLfkuGaZ2LoNm391C7auXo3xTVswmctjIpdHeflyRMcci/CIJ+LhbA7Xbdox5WMPOsCRQ/12+J/j7sl8eLueLnFyLNlOAthWj8d8X7Lz6GvnNZ2TWOTQo5OZMZz4Yq3l1mLH+DZN29HQhlrb+CFSv62JVmE+V6vMdlt3b6imuRLgcB2/HV46cS4JAGgm0kUUTphzAmKcLOkEu9oxO+Eu2U7LG+GlOhnPCjBG8LHaVHqOqTs5Pz3mR5xpb+MVeBzINoPeHMQu24HtMBnUTnIz0B1ycLuMr515OrYONr4I7r+9jFf96AYEfs4sFeaeNVEP/KxZN7OTPc5OZs4Z+RyToMm9CXPRsG2P2f0myGLdtjXTT45XtTsrxFkf5da9ktljjltLi+o5bnpNG8Axch0rHNC3vFm34kHr/SfP9Y7ZN8r5RsaKTfwGI2kludmOI7PP5Ol2HMHnehLzgcd8HqdbozgE71mzxDYuBNfT3DfbQVKG4k1oxJsMY8Qkv8lmRl66zhnZZr1uH7fp8sz8SNeOm3L8cU/Kp/XV6rLn1M5Ltqc5p1omuU7tvMjOGm9qK11xbBtZhrWPe7z5Li3btgmHrrtn37hB9vBT8HtpLBzM95SWDn7derI/OW7KTLdufpd8ROb3iEIihebUcoLr1v+48UNurlF3vWqd9jcjTH83TO4icOknfHq3mlYEt7/jTHZCQDpJIZ0hnUpY5p+/Znlab3VaXU8thOrc4dUebux4c/LwUr1mMrnBXD9th8mTazXsS+Szpn20xqJGQ8ss4+6nbuExbnt0C8S8fpuu25JjRuBiPXVWs9WJFg3WttNY6NZb2prAt/Y/dopVb7Nlb4OFbqNV763bd+GX28en3JUvOWAUR/Tl6yyAZ7AGrv8cSZtqVsNNNmHTWh43WRrXWR7XLIjnZ3ncbNlMY0O+x1RKSVwt4zrSLrQ+KRvXktsQVLYhCLYhjnYgjjk4PQbPGYfn7ULGLyKbmYSbTICpTcRJ76FGS+WQQkApZ0WASh5x1A9gCC6G4LkjyPhLTOyNfK6AfJ4uX/JmyedyRlypbudtnKxmi+2/+MHPcM9g4+DioWM78auznm36kp93pjgZaXyM9Dhnvdcnl65rMkVksxR1kiXLz19EPl9BPl9GJluC70/AdRmfbu72aA7dtrlL4Dmj8NxRuM4oXHAZgROPwmEejQDxMBCOAGEmsTpMrQ8TqyJaGIVR9VicWBxZq0QeYx7B7K/uY/y09HhyLC2bWizVnW+smVqoFvO+Ku24zPyujvUPI1emZf8EMv2nwctSvOpssuI9hfpkSdatUN+8Ly1nf88i30GYcRB4DgKfOex6slQ8oMJ1aspcuG30ZccY2lccLkm8Lcbc4jqN8LnQlRPdRyKGMcxnfFBOBFhAS+/pemZVJoMlcI1okS3H8CdDeBMh3PEKHMaRmE7QYNlU1BjIYnBJHoNL8w35wJIcBkZyKAzOHiNmpjvGihprjLXGZPEhFCcfTgSNRzA5+XBi2T392ZnMkpq1RtUNlXU/RVGDx3spSfTopd5SW0VgKgGJHrorWkpgw4bXqg10AAAgAElEQVQNoPCRWntwJtoZZ5yBE09sV8BX23w+lFIAmYuIMpO4sjuRZXf1znSMbeq2ZOI4BoFxkcIBW/r5ZvDSy555GrY2BVh73gN/wBkFz8xINbNPp8nTfda1SeLixBgYJC8I3B/ECIMYUQCEQYSwEtugw0FsXC1xm+vWGKI2+9ZYU9TNxq1t2+GOhu3YPmRncnTP4NucgpFxz8AlY9xD0V1DpsD1jMmzBd+sZ7nd5xsXJyboJQd7Y6ASjKNU3oxSZQtKDMZesjm3GZy9VN6KUnkbKnzBNYJP/Stsg71IbfjFYSyMZfAzo/AzS8yDn+8vgZ8dAd1u+T73j8LzR+G6HPasCUxmHDDZ/r+//SlWxyum3GIvH9mK45c8LpUKjKuTcjlEqRxYtyflAKVKgGKpjGKlgmISpJf76F/ejPOYgXI7qM0ZtDa3ny1dT3P6vjWzyXzf+MN16CfXzDC2PnGNM+c0sLYJuMoZx3Q30DjbuGHmcd0s5O77FnXbt7pb25NaEaXTRENjSZROHXXMDLDaNFJ7LLE+qparWSCllkgMeO0z4LXjIkNXOa5nAmBnmbs+coxFYPIMckme9zLIe1kwLzD3cyZnKAcOPPp0C5Ws03t38/47x4v4lwenum0854AlePbogJnhV0pm+pXr1kt8qU627f5aubQ89zGeQ/UYXSZEkQnC2Q0p5zqgS6LmnAG0c870x1jWHJ/mPJ4z/TFbfrpjDGi5J+ljX7kEXzr8GQ2n/tldq3HZ2c/FHZP3YPWG1fjNhtuwdsdaU8Z4VQNwQGF/HL//CThhv+Nx3LLjsF9hWZ0wUxNlrDAfocJ4HKYfY1TiyAY6N+t2HwdXaC1hj8coBiFKFVuuFMYoBTw/QilArS7+/yTlK5FxDoeKGaBBNQ8c2kUBgcP9FBwdcF/IhQKkyV2EXpK77Qjmuic9o3NEQAS6mUA+pEUuAzHb/3EKjjVLXO6z23S1mK7zf5P/yWk8oKzvIUdXdsadnY98JoN8NosCLQMo4CX/ven/L60YnGgCiCbghLsQR+NAOI44HAPCnYiDMcThDsTBDrOf/v5dhHV51LDPo+VycjzrF5D3h5HLDqOQHTFLPjOKvuwS5HNWOKoFbW/PYGwqotSElVnEltCK+Q0CTBhj+6ZJXHTHb3HzMSuNUMz0pAcewf+pPA6rDl9qy9cJOfbdrKkePmOE9cJPsxhEQYDiAIUCigZ23QoIyXoqMPA/ie6fuZ2IERQpKEhUBQsjUKTihd1ffzxd78QENU5m8sMYfghkTD51nfsyYVouOR5xkomDTARk42RhzI0IyDA2FuN8mdwx+Q+XRrj14EYBgs8c77l6mxE2ZkoDtMRoEjTSbYoae2OlFwRjiZXGWuNyarL4iM0nrQuqKJrZHaDvDyKfX1nnhupxVYsNihpZEz9z30kSPfadvtQnWZwEJHoszn5v+6d+6KGHjLn4QQcdZIJtLcY0nWXLbIJLery4q2ziRRQZwI/B+4pllIsVlMsVVBhguBLYgLhBiCiyvmeN7/sk+GG6Tv+7Niiu9T07U9pZ6Mftqw43wkcmCHDIlkdx9PoHF2O32cEvuhtJlpkEn+b9mcwEslm6KJiwrgqMyf+EcQHAGX6+Nw7X2wXXnbvJfxwXgHgQMYYADAPxEOAMw8Ewduy8A/85egpuwTNtmxHjxbgCx98/gGJxGHxAo3uG+SbODuzr67NBHneT93EWIQeLKxVEk5OIJiYRT05U16NkPU6OVbcnJm0ZHjfn1Na532wXa8FQrQUBXRxx8M66H6q5PbKuj9Lj9a6Q0vXquYnrIs6Oiwt5E/gvzucRcclxO2fyKMc8izibQ2SWDKJMDlEmk6xnELjW2iJw6FrJszlcM/AYhLEZuDQuYULrMsasR9aVzG/yU7+HfOk6vuLBDOhTvPNo7WVzu+4i6zNALf3he8j6HDBIYjikA/d1g/UmtsMcB/Rt2cZBf7+p7vS4HZxgSNz02va86v7qecbpn0kM9L6rsmvKMl4Zn3b/7sqW6BumRYmBUqeNc5IEhq8/trW4Fd/YOoRHs0+rXn1peD9eNbwWL1j1rBa1qLGagAMNHPg2g9+OyavbZl+6nRzjwHhaPi07l/OSutJzy7Fj6k63u0F7oRCRNQNqQIaxB5zY5Nw2++uWrJscc4Bfbh7HuM/fzsaUH/+ZdaNm3Fz5yPr9GMkvw1BuCfqzw2CQTIoTFB0YE4Pf51TASPen23T51EuJ30uKSPzO0p6CkQjoipC2Z8xpUWeWKF1ieFEMNwTcMIYXxnDCGG5gFyeI4HC9YtfT82iFZ9ebc7uPFnS1Y43lvvSXBWORWp9O+tMDOPV3I1WrzapFZ50lZzpgZpwi8vcy58NP4lBkci58MyHCM/t8xqzIefBM7Aq77TP+Ss6Hl3PtuVnXHHd9BrCd3kK13qq12RrWGorMbg071Yq28Rxr5ZpYzM7L8rZmBVubMNFsedtU97TXSpxyNlvY1rXp5m3juHnb2JSvwlnLR/D4At0tNloD1xnRzN+K2FgQT8N2Cus6C+VpuBnJPSojjEoITV5GGJYQxswr9hhdjkaUHHc/qaVqb+Rk4NBXJvPEbyatEoz/TJP7oHs9M0Em4TlXa2jzJJ+4p5tiFZ18drO/+bPWhS9Pphcl3yM7iUWJcbHqBROuR8mzjX2+sc84dqKFn0yw8N2MmWjBiRf1Ak76/FQ7j+fXnpPs/tqEi+m2zXOVmeBhn7nS87n9SLGCD9778JRue9kBS/CMkQHrlmlG10zW3RInVqRul6oumJrcO3XivjBiASdTOI2CAaUCigfZ2IoJFBlSsYGeaq34EBvBgf9jFC94nEJGs2DhBYyzUlv4f1YvLMVNgpEVkVKBqCZUzdd6h3FAv/vMAdx3oLVk7CvF+IvfT+DPtzkY3b9vWmFjYDRnJvTtaQqCnZiYWFu10rDCho2nQauNMKq9azVfwwQLL6xKhA3rhsrE10gsNeieajEliR6Lqbf1WfdFAhI95tirY2NjoC/XJUvaMwNkjs3omWI09SYvDpwqtZcAg1NP7CybQOxpXg3eXrdvgkHbJzhomATioyBCmcQrYvuS309pZLa0BIUJWhJYdzc2JTEp0hgVybYbleFGFZicfvmTnPvomz9d3Chd56xvrtu4E5zlbSwJ6BaHM5eSnP66GcA4zc1+YzVgLRBsniyJS53qtrFMqFktVNfTT2GsDupdddn19KWxXb3meoFxb0CTf4okXDImt9sUTOz+Ipw5BI3ciWHsQj+WYjOyYPyHLMIggyj2EDEIqplzlATZdDImAKcPH17sw2MsDhOPw0EmcJDhwFU5AooRnGIIFANgsoJ4IoAzWUY8XkY8wbwETJThVBiL2mE8ak5FhjN37wS7x0uror4+uCbIbQFOH/Nku4/Bb2vr6X5bJilnyiTbST1mO1lvV9/Opd4XXX8Hbsk1Buc8pZLBt07tLt/nc/ksC11mJgFlilAS7MKu8i6MBzMLK8Vg5pe95s91QCbCPx5QxL04AluxDAMYw9H4A/59Sw6/m9g7X/gLzXC+14uTATzmJsg5HWs17zPH7ECfKcch9HS9bj8H/OzxtKzdTsvanI69pu6bb7sXqjzHIygiWGsj5g4yST7ztmvK1R/nQE96HnOzbfbtvmytDteeM8216/dzAK1dibOSg0qEoBwmef16iNAcixBUQptXy9XK79pRwv9ueAQ/OT6LjSNLkAkDHLFuI1519wiOeOr+1eDatSDbtYDa9UG4GYheaeEIrJks4fTb7sW2Su2/7bjBPlx/4hEL14i6K1UqW1EqPYZS+TGUmSfrzMtlbm80+xg/ai4pkxlBLrs/srnlyHHJLrfr2WQ7txzZ7HJjndutiVbpzbFMXn3HGqwZXtbQ5BVj2/Cdk45Crr8f2XzBxPKx8XyY27hAdt1u19ZnKWNiA1kL37TO5u2Z662dU9+OWduVXNPEJGKMItNmxidiu5MFFDWVmgnQYjPvunbxauvV/R6PTVdm+vNYNmfOqT/PQb5uXzv/n9rRw1Urmqp7szrrnSaXZ7f+4EE8+LtNmMjRysXB8ISdAPWai04GxY09SUbUmFxrBIyqpUadC6owZAj06ZPjuFbQYLDwJGg4RY6aqHEgWEbJEpDooTuhFQQ4IZr/w5xUmqb169fj1ltvxSGHHILjjjuuFZdRHdMQkOgxy20xMTGB973vfbj77rtNyQMOOACf/exnsd9++5bZXqu/HRI9Wk20NfVxZkpVIBkrY3JnGRvufBS33n07JgbWVS/iBX1YvuUQHDZYho8KMijDj8vwI+YlZMISfAbUiybhBSXEYQAEIWL6gA/ox4rrAeIgtOsz7GN5BEHtvC6aNdsgnqTCShtzMCircQ3lm9ys98fAQAAMhHD6QqA/APoqcAplxPtvg59v3cz3ltxhdDMWunAiLnQU5MONfSO0uGYGJAMs5uDStZCbh+tzKcDzC3AzffCyfXCzffBy/fDcHByWdZNzpsud6Y/bQMXdmcaCEG+7+Yf4Q2j9nB/nF3HJs84wg5WLITGwIQeaoriCOGLQcs6ktbnZz1m11eP160nZOEAcVRAluTm/ul6r19RfXzadsZvs4wzeICwiSGf3RmUzs5fnpW0wA2JGmC3BnyagLF9Z6VzDuH1LXdvFiRu4qqs76+2/ejzZb7ftMTvrt7kMZzPX3OVNraPu+B5e09SfnFurv9amqdffXXtTEdm2uZXJts3OxY0c9kQ6L5d5su2k+2rH1zhHYsyjq7/G9LoDszhyaP8pwkODEJEICFYwmCo8pGU581aptQS+d+k/YeDx3zT3Ee+m0s4VWJb7Zzz19PZYVbW29Yu3tkdLFVzz2DY8Oj6BJ4wM4uUHLDEz1VuZKpVtRqywwkUqZmy0wkayj8f4Gz6XlMkMG7Eil9u/JmTUiRn2GMWMPRuUnEsbOlnmipt/hU9uGscjI/ad9sAdW/Cu0Rz+9jl/3slmLfi164WUSkjXr1sxUdqGYnkbJitbUSzvQLG8HcVgJ4qVnSiZZRzFYNxY8zbbifC5oOZcq3Hd8QfhuIOIvQE43gDg9SN2+8wCt4DYKSB2c4jdvHXOVScSsZ0PF8v4/dhUK+5DChk8fWSwSVSwggVdR1bFhmbhoUG8SAQLjzEnlVpJYOv6XbjpBxchO7oarl9EacdKLF/6epx81l/MeJlKsAPFyYes26l6YSNxQRWGjIUzc6KAYYOF14QNCh10P8VjLq3RlOZEQKLHnDCpUEKAsYxf97rX4UUvelEDk1/+8pe44IILcMUVV2B0dBTf+c538OUvfxlPfOITcfTRR+NNb3qTGLaJgESPWcB+9atfxbXXXmtuSKpyb3vb27Bq1Sp8/OMfb1OX7BvVSvTorX78j7dcB4ZbDP1JOLGHTHkIT/vzAZz46qcu6AcxIkiDSFInmCTiiBVXrFBSE0x4nhVZjACT1GHLzLzPijKp6NJURyriVAWdOhGnKug0Cju2/Wk7mgQdIwQ1fp6Gds5T8Nl6ShbFl00NHLrsX3x4Yw5iH4izLpzBHJz+LNCXhdOXQcw87wMFDzHznGuXrIs44yDOwpzLydqxHyF2aQ0UInZpjcOYH4zGwTwZJI5KdrA4KoED2t2Q+CBfFViqYsksAkqDwNJUdgZxxQg4uxFlbISAxnTX3e/H+vVXNOxctfI1OOKID88BHf0uczC/aaA/EQrqBYSpQkCjgNAgOsxRNKiKDfVCRZQIDVMEhmYhIxEhGPxaaZ8nQOHRLHSGlq7PlsOew/JuklfraT43KWuPW5cxzdf51sNr8MW48QXiGfgF/mXVDvj+kBlStynJqwO0drvhuNk1j/2meF2MqvprzVRX9Zyma9ftrx2pa/ue1Mf2JOeln6qZxUz760lMx28K191dq6kNnJn6u9+/ccr3Y9myv8DjD32Hvafq+7rhPkjuubp7olpeQ3ht/83Zvv1WbNh4DSYmNmJo8FCsWHEu+voOmdN1K5XtxvqiKmakAkaDmLFxzmIGv9/WIqPROoP76i00XLfRjdqcGruPFXrggQdw35o1Jo7UYQcfhMMOO2wf+4Tt/Ticbc8Yf2apbEGlvLm6nu6vpMcq2+fVGM8rIFMXb4SxRzYFHs7d/BIjqtSnj4z+Cuce+tTkf4u/79Ww9Y3rLFH9b2p9uRnrbrpufbmGcxrKzQtXVxd+6OHLcc89H2toY1/hEDz5yRc3xNOoDxbOmBu7S4xD0xBXI7HYSN1Q8f5Rag0BiR6t4dhNtWzZ+nOM7fyD+X0cHj4BoyM1F8Z7286ZRI/x8XGsWbMGRx11FDzPM8LIC17wArziFa/Y20vq/FkISPSYBdArX/lKnHLKKXjjG+1L2A9/+ENj6fHjH/84eWjQPTYdAYkevXVfbFo3hlu/eTs2b6BbJReHPX0lTvrrI3vrQ/R4a6cVcaYTSZJ9O7/3fdy383JMPD2EUwgRb8tg9NoIT3zdV1E49hjr3im/sC/0FD0ofqQiSC2fbh9n1XP/DMca9s+ljBVeuFhHZZ1PjaKIFUgmJtZMaR8Hbfv7D2uwdLACRrO1wtxccXT+k8/cgnSQ2lj+uByszpjZZnbgmutJzm2zn1ZCdj3NWbbh/PrjSb3WsqjuvPr9bnL+lOPJNerawTomJu7Hbb+Z+kB61JEXYfny043YV11gXfY17JtuG7Uyuy1fV86IirPUVX/dKWWb6mpuY0P5WcpW2zJDuW75Dt6LJ+IP+DOUnRxWxuvw5/hpN3891LY2EaCbjulFOCuYTbvUiXCzlak/vluRr0mkmbbsjEJOveCTtHuWsnMTiJJ690IY2rnzd1j96xc39B6tJ058yncQhOMNLqbKdC1VZ6lhLTNmDphbXymD57Le1AIjdS9VL2TwmAb75vdForsNxo0pFDRIOj9y8ytN69G5CiQsZ59np6bbcQJ+6PwVNuIADGIMJ8c/xWm4dn6N6frSjeLMzMJIk4gzR3GlQXQxwnw6SaHpunXHjKC/h+XGx+9FEOyYF3X+3plYGsZaI81t8PBc/kD4tBRSWhACEj0WBPOCXeSBB/8VDz54ccP1jjj8Q1i16rUtacNMosf999+PD3/4w/jP//xPfPGLX8T3v/99EwqAywc/+EEceuih+Nd//VfcfPPNZrI96znnnHPMf/NFF11kYiXv2LEDq1evxkte8hJs2bIF3/3ud00M12w2i9NPPx1vectbjLusSy65BF/60peqrrRuuukmfOMb3zAT+e3v3+JKEj1m6e/TTjsN73znO8Gc6c477zTbNEcaHh5eXHfLPD6tRI95wOqiooxdwx9W3+dUf6VuJnDTnzbhvje9BSev/0O1mf/z5Bfi7f/9afTnFnf/WcEgFUGa890JKHM4ZoSaudXZ+vvHqYoCZuA/EQVq66kYYAf8UzFheoGgTnSoCgy1843A0CQgVMWJVIDYjcCQihfN7exVH8Hr1l2Kteu+YgYsOKD2uBWvwOGHf7D1XbyP1Dit6DMvQYiWQhFAC6I4sq7KmgWfWQShP97/DWTitVOIrlr5Wvg+Bwts0F+bGFW4FrvKrtXHskqiAzedtdvz5l1fcr2ZzptDfXNr9yzXMSzs559SX7K//mgDp1nOm6m+dH8YTmLnztun9Bn7q1A4pOEeMCLdXMQ5U0YWZrP9tOyNMGRFjI2zXWLG4+zfbHb/aryMZouMVNTwvJof7D2+mE6cQkCiR3feFJzp32xBsn3HamzY8P0pDaYYyFn/1UiFJqi9daLJ/7bqugl6n+xvWm8oN8dz6uua83VmbAP/69P/3u6YvNTuO4N9NtB/eCJs1MfXWAnf1zhTu/nPtX6JHnMltfDl+Ny4bt1X53XhNWv/bYqozNhd9Lwwn3TooW+ftvhMoscdd9yBd73rXbj++uuNxQcFihe/+MUmlseRRx5pJtbfe++9xrMQ06c+9Sm85jWvMeLHm9/8ZnPs2GOPxTHHHGOWzZs3mzE7eiF66KGH8IlPfMKIJ09/+tONa63zzz+/6mLrDW94g7nGP/zDP8znI+4zZSV67KYr+Ud+6qmn4gMf+ACe+9znmpL33Xef8bd2+eWXY8WKFfj976cGgN5n7o69+CAMYs6gefkFnmm+F03WqQAYwyaXyxmTO6XuJvDlX2/DtfeMY2lxBwYqk9hUGMWEn8P7n7UMz1il2Xrd0HsUXxjh3eZlk2/f8RFE0aaG5nne4zA0+B7rtoVB503A6HS9fp+CCna6X8fGH0N/3zK4rvqi030x2/UvXX0Dzj70Cw3Fbn7k6Tjp0P+DlUPyZT0bv04d3779vagE9zZcfqD/9SgUztyLJkWIGZfHuGCkAMLBtbp1I8jZKD3mWF3ZxvMotLCe+rLpuTyvab25nrrr1Ndj1hvKJm2j4Je0Kb2mLWuv07he+zxWEErqrIo+0332VBBKy+4F4mlOtdZ7+8F1lyTLKDyzPlrd5jHHWVir1NZ+yt6vjRPV+M7L53+lbicQYuu2tyIMNzQ0dGT4QmQyT+r2xs+zfTVxxojwDYJIeoxVNpYze+qEncYJDI3nGTGoWnb6uuwEgJqAZD/E1Gum+2pla+Umiz9AqfSrKZ9/6ZLL4bpD8+Si4gtNgMIwx0YyGT07TseeA/GdShQ9bvrpkxf88pwAd8pz7pj2unMRPXg/cVI9x5mf/exnG2sNnkeR44QTTjD1XnXVVdi0aRM+//nPG9Hj8MMPN6JJfeLYNCfls9zVV1+Nl770pXjta1+Lz3zmM/jNb36D//7v/wbdWJ533nm47LLLjLXIYkwSPWbpdd6MvLle+MIXmpLNlh7vfve7F+N9M+tnjiK+UMYaPJ+VVHcVoFDFwbzFaPbWXT0xe2tWu0dhrXvAlIInhXfh4LjxZWj22lRioQisWPEQjv2z2+A4dhZbFHm4/fYTsXHDioVqgq6zFwSCIDD/a/qN3AuIC3TqDd6J6Bscx1FL/oSsV8H6XQfg9seOwfPCX2M03r2v7AVqoi4zDYFcvognPOFPGBzYgTDysemxA7B27ePFqs0E+J80+xLZ/66mso973Doccsj9U1q4+taTsXnz8ja3XNXvLQG+szFJzN9bkgtzfqEwgVUHPYhCfhyVIIcNG1Zi65ZlC3NxXWWPCORyJRx/wv/D6OgWc34cO7j77idjzYOKobNHQBf4JI6P8Llfv5HTg//0pz+9wD1SuxxFD1rizyetXfvlaS09Vq782/lUY2LNTZf2RPR48MEHTTiF/fbbz7iqStOSJUuMBQhFD1qEpCEXeJwur2688UZjwUEx4+c//7mx7GCsEFqS0LqDgsk111yDdevW4QtfaJwINq8P2+OFJXrM0oGM6UErD940TIrpMbc7Xu6t5sap20rJvVW39cjM7bnkpvvxyevvnlLg6recjONXjfTOB1mELWXQ1i1bfmseoJcuPTFxtbMIQfTgR96+fTuGhob04tMDffcPV/4O373t4Skt/f1HTsVQXrP1ur0LGfCRM881s7LbewpgAPrf/PZV2LmzZv3OeEfHPHnxvmB3f6/VWij3Vr3UW7W20rf74OCgnkd6qPvGxu7H5OR2LF3KQMZy19crXSf3Vr3SU3NrZ6dietS7t2q29ODvOeN3MKbH0UcfPeWDNIsejOdx7rnn4uMf/7hxZ8VEb0QnnXSSET2Y6N5qZGQEt99+e9WiZG6E9r1SEj1m6dOvfOUruO6668CcAWXe+ta3Gr9pvMGUZiYg0aM37w6JHr3Tb6Ugwt9+7Vb8vwfsrCGmv33GwfjY2Qtv4tk71LqnpTRjpeghF4Dd0ydzaYlEj7lQ6o4y9z42jvO+/ms8sHlXtUH/ePqROP85T+iOBqoVuyUg0aP3bpAtW36BsbFHMTr6BAwPH997H2CRtliiR292vESP3us3Wgvz+zYwoCDkvdR7Ej16qbfm1tYtW3+OMU7UcFwMD5+A0ZGnze3EOZSipceZZ56J5z//+dXSfN/funVrNaZHs+jBgpxkz9+ICy+8EMuXL8ddd92F2267zbirahY9du7caYKZU+hgOIZf//rXJqbHy172sqroccMNN5h9DJRO11eL2UuBRI9Zbly+dL33ve81gWOYeAN+7nOfM7nSzAQkevTm3SHRo/f67Y6Ht2PD1p04/HHLcPBSzRrqlR6U6NErPdXYTokevddvv35wM8Ymijj6oP2wfFA+63ulByV69EpP1dpJN0l8jhweVgDeXuo9iR691Fu1tkr06L1+k+jRe33GFkv06M1+61SrKXrwPb8+HXrooXjHO96Bd77znSaQ+XSix8aNG/HRj360Ou7M8yme8DyKHscff3zV+xCPXXrppfj2t79tLkOLDsZUTl1rcR9/b04//XS8+tWvNrFCFnOS6DHH3ueDBQfy6WdNaXYCEj1mZ9SNJSR6dGOv7L5NGmTovT5jiyV69Ga/SfTovX7jS0CpVNLMyh7rOokePdZhJkaVRI/e6zWYmeeMw1goFHqx+Yu2zRI9eq/rJXr0Xp9J9OjNPuvlVvM/mb/vS5cuhe/7u/0ofFam1ceKFVNjg95yyy340Ic+hO985zuLfjKKRI9e/kZ0cdslenRx5+ymaRI9eq/fNMjQe30m0aM3+4ytlujRe30n0aP3+owtlujRe/2m55He6zO2WKJHb/abRI/e6zeJHr3XZxI9erPP1GqYsAzLli3DRz7ykUWPQ6LHor8F2gNAokd7uLa7Voke7Sbc+vo1yNB6pgtRoyw9FoJy668h0aP1TNtdo0SPdhNuT/0SPdrDtZ216nmknXTbV7dEj/axbWfNEj3aSbc9dUv0aA/Xdtcq91btJqz6W02Az2P/8z//Y4KcT2cF0urrdXt9Ej26vYd6tH0SPXqz4yR69F6/aZCh9/qMLZbo0Zv9JtGj9/pNokfv9RlbLNGj9/pNzyO912dssUSP3uw3iR69128SPXqvz9hiiR692W9qtQikBCR66F5oCwGJHm3B2vZKJXq0HXHLL0r1YZkAABeaSURBVKBBhpYjXZAKJXosCOaWX0SiR8uRtr1CiR5tR9yWC0j0aAvWtlaq55G24m1b5RI92oa2rRVL9Ggr3rZULtGjLVjbXqlEj7Yj1gVEoK0EJHq0Fe/irVyiR2/2vUSP3us3DTL0Xp+xxRI9erPfJHr0Xr9J9Oi9PmOLJXr0Xr/peaT3+owtlujRm/0m0aP3+k2iR+/1GVss0aM3+02tFoGUgEQP3QttISDRoy1Y216pRI+2I275BTTI0HKkC1KhRI8Fwdzyi0j0aDnStlco0aPtiNtyAYkebcHa1kr1PNJWvG2rXKJH29C2tWKJHm3F25bKJXq0BWvbK5Xo0XbEuoAItJWARI+24l28lUv06M2+l+jRe/2mQYbe6zO2WKJHb/abRI/e6zeJHr3XZ2yxRI/e6zc9j/Ren7HFEj16s98kevRev0n06L0+Y4slevRmv6nVIpASkOihe6EtBCR6tAVr2yuV6NF2xC2/gAYZWo50QSqU6LEgmFt+EYkeLUfa9golerQdcVsuINGjLVjbWqmeR9qKt22VS/RoG9q2VizRo61421I5RQ8+/w8ODralflXaHgISPdrDVbWKwEIRkOixUKR1HREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgbYSkOjRVryqXAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREYKEISPRYKNK6jgiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQFsJSPRoK97FW3kcxwjDEL7vL14IPfbJ6WN027ZtOPDAA+E4To+1fnE2l98z9hl9n++///7I5XKLE4Q+tQiIgAjshgB/Kzdu3Ij+/n750tadIgJtIkB/9Vu2bDHPI0q9Q4B95rouRkdHe6fRi7Cl/B/jwr5qTul/3LJly/Tu3WX3Bn8XZxoP0XhJl3VW0pzd9Qtj6TAOkv7nurPv1CoRmI6ARA/dF20h8P3vfx+XXnopmCt1P4G3ve1tuPvuu01Ds9ksnvvc5+Ld73539zd8Ebfwd7/7HT7wgQ+gXC4bCp7n4Q1veANe8pKXLGIqvfXRP/vZz+KHP/whvvvd72JoaKi3Gr/IWvvSl74UDGJen84++2y89a1vXWQkeuvjjo2N4cILL8Rtt91mGn7MMceA3zul7iSwZs0a8z/WnPj/dv3113dno9UqM8npn//5n3HLLbcYGvl8Hn/3d3+HM888U3S6mMDDDz+M973vfXjsscdMK1etWoVPfepTWLp0aRe3enE2jYOwF1xwgfnwH/vYxxog3HTTTfjEJz5hvodMf//3f4+Xv/zlixNUl33qdevW4fWvfz0uv/xyrFixYkrrNF7SZR2WNGe6ftm0aRPOP/987Ny505QaGRnB3/zN3+Css87qzg+hVomACFQJSPTQzdBSAmvXrsU73vEO7Nq1C4VCQaJHS+m2r7KLL74YL3zhC3HQQQfhV7/6lXl5/cxnPoNjjz22fRdVzXtF4Pbbb8e9996L5z3veWbA/Itf/CKuueYas8jiY6/QLsjJV111FS655BJzLYkeC4J8ry5C0YPftdNOO61az/DwsGbG7hXV9p7MQaJXvepVxnLx1a9+NZ7znOcYq7jly5e398KqfY8JcEYsB2Lr07e+9S2sXr3a/E4qdSeBK6+8Epdddhm+8Y1vYMmSJeD/21e+8hWT9/X1dWej1Sp85CMfMRZwzDnhiSL+wQcfbN4BlLqHACfHfOELXzCTnJ7xjGc0iB600v/rv/5rnHvuueZ/7sYbbzTC1de+9jUjYil1jgAHxDds2GAa0Cx6aLykc/2yuyvvrl8oDl999dXghCdaDbNP+c7NfRzzUhIBEeheAhI9urdverJlfGHdvHkz/vd//xdXXHGFRI+e7EWYWQtnnHEGzjvvvB79BIuv2d/+9rfx9a9/Hd/73vdk2t7l3X/rrbfiwx/+MN7+9rfjc5/7nESPLu8vNo+iB2dOnnPOOT3QWjWRBG644QYz+/WrX/0qDjnkEEHpQQIUqfide/Ob36zZlF3cfxyQ5XM/n0M46SK12Pn3f/93rFy5sotbvnibxtnKtAz+4Ac/iFNOOcWASH8zf/zjH8vNbRfdGhMTE2Z2OZ8X+f2qt/T4yU9+YkSqa6+91ghXTOzXF73oRWYWulLnCFBQpOhBzwnNoofGSzrXL7u78nz65aGHHsLrXvc685z5lKc8pTs/kFolAiJgCEj00I3QFgLXXXcd/u3f/k2iR1votrfS9GWVrpPo5kqpuwlwBuwPfvAD0PLjjW98o9xJdHd3mcEgmkf/0z/9k/EHy8E8WXp0eaclogddtnAW7AEHHIC/+qu/MutK3UuAL6J0+3HSSSeZ7x1noNPlznHHHde9jVbLGgh86UtfMgOxnERDF1dK3UmA36+3vOUtGBgYwGte8xr86Ec/MjNf+R1U6k4CFBRpIfChD30Iz372s00j77rrLjMZg9ZVcnHVff1GsYODsvWiB4VG/j7WW8LRZTGfT+SmuPN9SOGDFjgzubfSeEnn+2i6FsylX/id41gXv4N8vlQSARHoXgISPbq3b3q6ZXP5s+jpD7iPNp4vQfQ9SncEdFUwXbC8ffSj9+zHot9R+jqnSS7N2zWzq3u7kjEhXvva1xqrAbrdoXsyiR7d21/1LeNMZv4e0mXSL37xC2zdutW87MiCoHv7j642+bv4spe9zAiMHIj97W9/a9zuHHrood3bcLXMEKDV8Cte8Qq8973vxQte8AJR6WICdLHzj//4j2DOmc3M1W9d3GFJ0/j8QXdyfC5hoGUKjH/84x8lenRp100netCSkdYedC2Xpve85z3G/Q7dlil1loBEj87y39OrzzaOdc899xiBmF4xKDIqiYAIdDcBiR7d3T8927rZ/ix69oPtww3nS+q73vUubNmyxQwKjY6O7sOfdt/7aLT4oHWO/Ph2b9/SLzODKDM2BOMMbNu2zQRYftaznmXcERx99NHd23i1rEqgUqlU3UfQtF2pOwlQ9DjwwAPNYCxTFEXGQueVr3ylER2VupvARRddhDvuuAP/9V//JVc73d1V5n+NfcXJMhSG/+M//gPf/OY3TayxI444ostbv3ibNzY2Ztz/se84SE4rgvvuuw9yb9Wd94QsPbqzX3bXKokevddnbPHuxrEoFFMwPuqoo8DnFE0Q7c0+VqsXFwGJHourvxfs00r0WDDULbkQfcW+853vRKlUMsHyJHi0BOuCVrJp0yYzmPfJT34SJ5xwwoJeWxebGwEOJnAmZZo4k5nud84880wzW+iwww6bW0Uq1XECHDR/5jOfaVy6KHUngU9/+tO4//77cckll5gGUvT4y7/8SxObhW6ulLqXQOormzOVTz755O5tqFpmCPD38JhjjqkKjBQ+Tj31VOPvnNY6Sr1B4A1veAPoxvHiiy/ujQYvslZOJ3qkMT343p3JZAwRxvPgRBpZfnf+BpHo0fk+2JMWzDSORQt9jpcwhscFF1wgt5t7AlfniEAHCEj06AD0ffmSfNHhTCH+WXDGF/0dUgGXL+bu7XUGyKMPZg4IXXjhhcYnMxP7bcWKFd3b8EXesquvvhpDQ0M48cQTTV8xwOEvf/lLXHnllRgcHFzkdHrj48u9VW/0E10k3XjjjTj99NOxbNky8//GQSEGD2W8CKXuJMA4R3TzwRfTpz3tabjqqqtw6aWX4vOf/zye9KQndWej1SpDgNY5jz32mLFcVOp+AhSnaG1KgXHVqlXGUoCiowKZd3ff0aUtUxiGJgbj17/+dWO1QwFLqXsI8P2MffTxj3/c5Py+0R0ZLYb5Dnf22WebuBEUH/ms8qlPfUpW313QfRwPefTRR434S4uqlStXmn5j0nhJF3TQNE3YXb/cfffdxpXV8ccfb3J+/5joElwxPbqzP9UqEUgJSPTQvdBSAukgXn2lVMMVzLClmFtaWToLpbnSbDaLa6+9tqXXUmWtI8DAaRzASxODhnKgiLPPlXqDgESP3ugnih58waELwDRxgIFisVJ3E+CgOd3spOn88883M2CVupdAOrAgq8Xu7aPmltFVI8XEW265xRziABBjjJ111lm98yEWYUtvvvlmfPSjHzWffGRkBO9///tlKdyF9wEDy3MiYX0677zzcM4555hdtCCuf8+mJSMtv5U6S+C0004zIlWa6t+rNV7S2b6Z6eq76xdOeOIEw+akca7u7Eu1SgTqCUj00P0gAiIgAj1KgA/TdJHEmSkM1JvOOunRj6Nmi0DXEuB3jMHLOauScSLS2Xpd22A1rEqgWCyC7v/Ub7opRKC9BDizmc8kBxxwQHsvpNpbQiCdib506VIzW1mpdwnQGmT9+vXmXSB1c9W7n0YtFwEREAEREIHWEZDo0TqWqkkEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERKCDBCR6dBC+Li0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACItA6AhI9WsdSNYmACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACHSQgESPDsLXpUVABERABERABERABERABERABERABERABERABERABERABFpHQKJH61iqJhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgQ4SkOjRQfi6tAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQOsISPRoHUvVJAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi0EECEj06CF+XFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERaB0BiR6tY6maREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEOkhAokcH4evSIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACrSMg0aN1LFWTCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIhABwlI9OggfF1aBERABERABERABERABERABERABERABERABERABERABESgdQQkerSOpWoSAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARHoIAGJHh2Er0uLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAi0joBEj9axVE0iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdJCDRo4PwdWkREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIHWEZDo0TqWqkkEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERKCDBCR6dBC+Li0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACItA6AhI9WsdSNYmACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACHSQgESPDsLXpUVABERABERABERABERABERABERABERABERABERABERABFpHQKJH61iqJhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgQ4SkOjRQfi6tAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQOsISPRoHUvVJAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi0EECEj06CF+XFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERaB0BiR6tY6maREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEOkhAokcH4evSIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACrSMg0aN1LFWTCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIhABwlI9OggfF1aBERABERABERABERABERABERABERABERABERABERABESgdQQkerSOpWoSAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARHoIAGJHh2Er0uLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAi0joBEj9axVE0iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdJCDRo4PwdWkREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIHWEZDo0TqWqkkEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERKCDBCR6dBC+Li0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACItA6AhI9WsdSNYmACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACHSQgESPDsLXpUVABERABERABERABERABERABERABERABERABERABERABFpHQKJH61iqJhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgQ4SkOjRQfi6tAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQOsISPRoHUvVJAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi0EECEj06CF+XFgEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERaB0BiR6tY6maREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEOkhAokcH4evSIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACrSMg0aN1LFWTCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIhABwlI9OggfF1aBERABERABERABERABERABERABERABERABERABERABESgdQQkerSOpWoSAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARHoIAGJHh2Er0uLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAi0joBEj9axVE0iIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIdJCDRo4PwdWkREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIHWEZDo0TqWqkkEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERKCDBCR6dBC+Li0CIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACItA6AhI9WsdSNYmACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACHSQgESPDsLXpUVABERABERABERABERABERABERABERABERABERABERABFpHQKJH61iqJhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgQ4SkOjRQfi6tAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQOsISPRoHUvVJAIiIAIiIAIiIAIiIAIiIAIiIAIiIAI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}, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" } @@ -14889,7 +12968,7 @@ " openDigger.render.plotly(data.filter(row => row.name != 'Others').map(row => {\n", " return {\n", " x,\n", - " y: row.resolution_duration,\n", + " y: row.avg,\n", " mode: 'scatter',\n", " name: row.name\n", " };\n", @@ -14916,7 +12995,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -14943,14 +13022,14 @@ "y": [ 611.55, 642.62, - 4303.62, + 4095.63, 901.03, 198.45, 432.7, 738.62, 3445.66, 892.6, - 1258.07, + 1240.45, 359.07, 11122.34 ] @@ -15080,12 +13159,12 @@ 120.67, 57.71, 958.67, - 5780 + 5404.67 ] }, { "mode": "scatter", - "name": "CTrip", + "name": "Deepin", "x": [ "1", "2", @@ -15101,21 +13180,23 @@ "12" ], "y": [ + 124, + 13, + 2770.5, null, null, null, + 1531, null, null, null, null, - null, - null, - 4873 + 4207.33 ] }, { "mode": "scatter", - "name": "Fastly", + "name": "WordPress", "x": [ "1", "2", @@ -15131,22 +13212,23 @@ "12" ], "y": [ - 685, - 1892.33, - 1100, - 147, - 296.5, - 479, null, - 1547.33, + 5174.33, + 7370.38, + null, + null, null, - 2782, - 4872 + null, + 0.88, + 105.86, + 97.62, + 2854.81, + 3459.94 ] }, { "mode": "scatter", - "name": "Pentaho", + "name": "Liferay", "x": [ "1", "2", @@ -15162,22 +13244,23 @@ "12" ], "y": [ - 4426.5, - null, - 50, - 152.33, - 2855, - 7635, - null, - null, - null, - 25, - 4596 + 163.29, + 104.43, + 443.08, + 24.45, + 742.53, + 129.94, + 182.62, + 264.39, + 177.56, + 125.35, + 1668.86, + 3025.58 ] }, { "mode": "scatter", - "name": "Deepin", + "name": "Oracle", "x": [ "1", "2", @@ -15193,23 +13276,23 @@ "12" ], "y": [ - 124, - 13, - 2770.5, - null, - null, - null, - 1531, - null, - null, - null, - null, - 4207.33 + 3663.93, + 1574.71, + 771.36, + 1438.87, + 621.96, + 723.58, + 660.22, + 1755.12, + 1783.89, + 301.33, + 487.57, + 2776.05 ] }, { "mode": "scatter", - "name": "WordPress", + "name": "H2O AI", "x": [ "1", "2", @@ -15225,18 +13308,18 @@ "12" ], "y": [ + 21, null, - 5174.33, - 7370.38, null, null, null, null, - 0.88, - 105.86, - 97.62, - 2854.81, - 3459.94 + null, + null, + null, + null, + 3, + 2757.5 ] } ], @@ -15248,8 +13331,8 @@ "xaxis": { "autorange": true, "range": [ - -0.6486486486486487, - 11.64864864864865 + -0.656675613878119, + 11.65667561387812 ], "type": "category" }, @@ -15263,9 +13346,9 @@ } } }, - "image/png": 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" + "image/png": 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LKpRRORQWfGl1kycQUUZ5R5FSp04dE8nDl1eKCLaDUY/8LK3dfz1FDmUIX8Apg/jyS5HBaCoKIgo3fs5E2dG+ffukF2I358Td0++66y4jXhil5URgfv/990YqeUZnpVeUUlyktUZpynIDaZMjq8iI08EZeUkRwSg7Riz5W4KBfUJ5Q5Z9+/ZNisZlGZy+y3Y7EaWB9L+nyGjcuLGRM9zEhudGSUBJ7hlxyLHICF7PzU7SWqM0nMw41jp16oTVq1ebdYGdqc/p6Tey4NToa6+91sgdXicFCxb0euE7go+R4IzYc6b8MyqOkWyMsHTEGr/MYH+SM8c2v7TgepnOeHCuL9bP6Ef2EfM6ooqfU6oxCpKf84sNCs0nn3zSfMbkjD1Ge/JzCiSOF/Yj2XjKH0o6SklHiFLqsV5KXEaOOpG5jmi79dZbzbXMc6Qo5eccq4y85hcP3kSp23sOo3YpmD2vd5bHtT15L3REsLdOcMuXx3LNUd6rKF/Tk8iIEaMU1oxK5Jc/TLyH8t42ZMiQVGsaO0La22ZKbkWpZ1s5Djg2GKnqZv1dp/94fyZnXhsUxvyiiIwdEU32lKQ8P+Z1EmcP8AullAI1JT/n/sJITY5zZ21n5wsq9iG/0GAEKTnyyxV+Uccv8igx03OturnH+pt6T56MlmYUKa8rZ8OvlFHA6RkvOkYEREAEREAEbBGQKLVFWvWIgAiIgAgEhYA3Ueq8jDHqjaLUM4LHqdRNnkBEGV8GGZXJiElOg3TS/PnzzcYk/tbBc0SOtxdIvvByeiVlEF+GPRNfvDmdlnKPU4E5NT6t82YEECOBKCEoIzyTs7Yfo7MoO22J0kDa5Mgqz8hXngOFAKWEv52qKaootCgcKIE8U8o1SgPpf0dkpJwe7Fn+gQMHTBQwo6r27dtn2usZ9RWIKLXJjOfgTZSmpw2vv/66mYLsJlF+kxevKc8lGjyPfeyxx8yXH5yeX6RIkaQfOde3M+3a1y7clHKUPYzc5b3ESYxA5/RgTqHmcgFMvsYep9hTnKaMPKewYttYB2XYDz/8YJZ38JSAvta4dDYvckSXN1Hq9p7jyCzPet3wZx63fJk3o6KU1zQj1RkVTLHoROA7LDwFs9N+XrP8MskRyp7n5U+U8ueMzqXcpaCm4HQiJCnn+TNK6rSSr/5jlCglPOU7Ze6OHTtM1KjnfcfXuPFWn3N/SSlanS8TUkZmcxkJ8nLuh+m5Vt3cY/2J0pS73vOaoIhm5Ku3KGC341L5REAEREAERMAmAYlSm7RVlwiIgAiIQIYJeBOlnlMdWQHlI6eYM2LQiepzkycQUUYRyumOvhIj6Jy1Rr3l8SVymPerr75Kmm7rq3xGv/HcnCmevs7b14s183PqN9eO5Dqol156qTVRGkibfMkqh5G/KZ3O9FNv6xYGQ5SmFBnkSkHKvuf6iylTekWpTWZsszdRGow2pHUD4NRcTlf2Fi3oHMc8jLx0ooCdz7lLPKW1M1Xd1/VFYc31TqtXr26iVlMe7ylQfY099i/vLZ5fcnCcUbQ5S2h4nqdndLkv0eZEUfK6ZtS0N1Hq9p7jrPHJNvALEDKpV6+eWR/X3zqRbvmy7IyIUka3ck1pCjT+7bmOq7P0A3my7Z6J7SOblLuuM48/Uept7DGal9GgvJfziyIK07SSr/7jfZT3U88vThzh60Q580stCv0333wz1VqiKev0JUq5di9/B1LqMzrVSc59jqKb97VgXKve7rGBilK2j+OWaw+zTUoiIAIiIAIikBkISJRmhl5SG0VABERABJII+NrMiVFGjEqaN2+eeZF2kudUWn95AhGlFG8UNpw+6y1xkySuWecrpSVKnenBlDb84y0xaolTRf2dk1OWN6FIUUTh4ET92YooDaRNvmSVMw3Znyh1pBGj8TzX0CPTUIlSJ1KXU7HvuOMOlCtXzogg7uTNzbqcdQQDiSi1yYxsvInSYLQhrVsZrylOzU9LqPjKk1Je+rq+nHwpRSkjQCmeAhGl7F+up+ksgcFpx1zmgRG0lJ2UWowidiNKuf4r5VhaojSQew7bxN3ouTyFk1Kul+qtL9zy5bHpFaWMBmbUMCUpoyCdjcyc9lCQUtLxXp/y/sf2cQmHlGsm89j0iFIe50S2cmkHLomQVgpElHJ2AafNc+1Z/h6iXOeave+//77f3+i+RKkjZFOKUkegOqI0GNeqt3usRKnfrlMGERABERCBKCAgURoFnahTEAEREIFYIuBLlHoy4JRKvmhzGquvF1NveZzpkimn5bLslJs5OTKMu2G7WdsuZR+lJUqdacSMFqWwcpu8nZMjcSjsPHfPZplOxBN3KKZE8SVKPdfxdNriuZmT5xql3pYSSFluIG3KqCh1hAMlBaereqaUojSQ/vclMhzhRp7k6pkot72JUgo6ig/PFE5mbIc3URqMfktrLLu5ppz1N3l958yZM6k4Z4kFZ+p8KEWpszTGTTfdZNbNde5JjBjkzvJOmjJlilljOFii1A2flHwZSc9p2JSBXLLDc51eb33hli+PTY8oddbu5JR0tslzHV+nPY5IpZTjlwtOcr7I4hcP3HE+ZUqvKHWuNc8v1XyNU1+i1FkKhMuckAsTp53zyxlGq/JvTo93I2N5bEZFaTCuVYlSt795lU8EREAERCDaCEiURluP6nxEQAREIMoJeBOl3CiHUUbOpkdEQEHA6CBGfTJq0k0eZ0Miij9GIjrTVDmFmmu/cZMMZ9d7J+rJ25RuvtBzii832vCV0hKljmxjhBojzLhJkJP48j1nzhyzUZSbc3KmJHNNPq7R6cglbvZCKcLPKXt5rt5EKaeWc5McbnbjtINCkRvVsJ3O+qaOOPG2I3XKcgNpU0ZFqbMmJcUMxaWzSzk/p5wkY2cadyD970tkcI1NCmmuW8uIPicxso8bxnhOvf/rr78MR891MZ384WTGNngTpcHot7RuT5yizCnEnBpPVk5ivyxYsMBISEY/c31KRnJzkzIncWMyblDmRBiHSpTy+qNQ4z3BWQPU+dKAUaGMHmTifYf3KrYpWKLU7T2HEpn3JWdjKbbH2ayKu9XzuveV3PJ1rne3mzmRB6em87rhtcGNmnxt6uUIUebjtHxeo0zOOqDelrvgz/2JUkZ4MpLY2SSMx3CcUMZyFgLrKlu2bJq/Qb2JUo5PlsEN4xgtyi/nnMSIYud3Bs+D91pPwe+rsoyK0mBcq95EKUUv1911vlxz2p/W7zNNvY/yhzKdngiIgAhEIQGJ0ijsVJ2SCIiACEQjAUo57sDNKYaUXFxvjyKSa9Z5TlXnizClKXfJXrp0qVnDk9LHTR5yc8Qg16rjFFpGj/HFkMlTlPLFkJGAXJOQO1pTdvGFmfKSu3S3bt3abObhK6X1Yslj+ML93nvvGUnAHYQpDbjrPaNNyYLy1+05OYKFL/CMomQ7WT7lAKNKudkGkzdRyqmxjISi4GOkFNkzWslJnqKU8optpCzimqcUHpRK3sp126aMilK204mcJcNatWoZ8UuOTBSnnutduu1/XyKDbCkGOC44FsmB8nTRokWmPk9RevToUTM1nxKJEWd58+Y1covrHIabmTdRyvZntN/SujfxywWeO3lwDDGymxth8bovUaKEic7kmpKc3s7Ea5sbmXEJA45JynCufclrJpiilNd9nTp1jOCisKX05mZTnD7O5DmVnF9g8EsHLgHC65QpWKLU7T3HmZ7esGFDs1ESI0l5DZMrhannJlgp+8MtXx4XSEQp74nkwFSzZs1kstJpA2Uj+5OJwptRwrwP897K+w6vU/YteXtKVopzRtNv27bNiHb2DX8/MDGSnL8PmBiRyy+IuAkX6+H1x2UeeB9MuTGXr3Hq7HrPc+D45HVOMc1x2qhRI3O/80zOl178jL+reF5uUkZFaTCuVW+i1IkIJmNGVPNLM/4e5BdkvIel3MyJ7ZAoddPjyiMCIiACIhBJBCRKI6k31BYREAEREAGfBJyptZ4ZnOhFyszBgwcbIeCZ+PLbu3dvIzjc5OGxlFp82XU2auKLOaOwKC25zqTndGq+HLNe7j7vmTg1lKIprd2+/YlSRq7xRfXdd99NtuYq20MZwyg2t+fE6Fq+4Hqu68dyGPlI2eQkrrfIiCfPTU3YTvLgbt5O4sYwlI38jNOLKfgcdhSrbBcT6+DGPN7KddsmbnxCQZJyB2znJd7NVFZGepGX53qNlEnclTzlxkBu+58i/sUXXzQbwTjizuFDKcQNaTw39iFnCpX8+fMnrVHK/FxzkFHDzth11s4MNzNHlJKzZ2RiRvvN3y2Oov21115LNt4YAchrkNKL6e+//wanuTsikp8xmpwbaFFqMvm6vrimL78sqFGjhqnHSc4mT1xXmNGpTI6kp4DlGHIS8/C+wmUUmDiG2N+ODOdn/FKCMo4Cl3kdcedr6nb//v3NeEy5Rim/DOI14CQ39xxGhc6aNcu0y0m8VzIqnl8U+Etu+LIMilJPYZxWubxHcpmCtBI3tOI9m4ny8tlnn022IRrPgX3mOXOAeZ0lCbyVzS+T+OUEE6f6f/nll8m48HNem4wud4RqWm10RCnXV/XczI+SlDvee14rTjnOcgZO3/rjz5/7ur8wQpnjM+Wu984apZ5rMWf0WvV2j+V1xfHI9jnji19gcLz7EqW83pjX27qyblgojwiIgAiIgAjYJiBRapu46hMBERABEQgZAb5cM6qIiRFonlMsnUrd5OEL5saNG80h3JTJmfrpq+F8CWT0JP/mC6ObF+5AIHADGkbu8IWfsjblztVuzon1Mdrx33//NS/znGKaNWtWV82gtCVXtoMRav7OjzKKeckie/bsadaR3ja5aniKTJRMlGs8h7Smvwba/97acvz4ccOaiTLJ21j0PI5tI2eu2ehvZ3KbzHxxDnUbjh07ZsYcZSQjIL0xYRQhuZEvJVqwk2c0MzccYrQl7yvO8g0p6+M1yjaxvZ7Tr4PdLpbn757DscTp12wz7xm+GKbVtlDzdcOF9zZ+wcH2OxLczXG+8nD3dZ4X2VB2cukAb3LTXx0sh18WURzyfuJrnWpnyY3LLrvMRGOHI4XiWmWZ/HKH96v0rNEdDg6qUwREQAREQATcEpAodUtK+URABERABERABERABGKGgK9lH2IGgE40wwSctXMZfe4mmjfDFaoAERABERABERCBDBOQKM0wQhUgAiIgAiIgAiIgAiIQbQQkSqOtR+2eD5dr4IZjKTcHtNsK1SYCIiACIiACIhAoAYnSQIkpvwiIgAiIgAiIgAiIQNQT4Fq7q1evNmtxcm1ZJREIhACXY5k/f75ZU7VatWqBHKq8IiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiC6k+4ZAAAgAElEQVQCYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+KpaBERABERABERABERABERABERABERABERABEQgMghIlEZGP6gVIiACIiACIiACIiACIiACIiACIiACIiACIiACYSQgURpG+Jmt6mPHjuHs2bNISEjIbE3PlO3dt28fChYsmCnbntkaffToUcTFxSFnzpyZremZrr1nzpzBoUOHkD9//kzX9szY4CNHjiB79uzIkSNHZmx+pmrzqVOnkJiYiLx582aqdmfWxvI+wueRbNmyZdZTyDTtPnHiBE6ePIncuXNnmjZn5oYeOHDA3EeyZs2amU8jU7T9+PHjOH36NHLlypUp2pvZG6l3G3s9yOeRLFmyID4+3l6lqkkEooiARGkUdWaoT0WiNNSEk5evhwl7vCVK7bGWKLXHmjVJlNrjLVFqjzVrkii1x1ui1B5r1iRRao+3RKk91qxJ7zb2eEuU2mOtmqKTgERpdPZrSM5KojQkWH0WqocJe7wlSu2xlii1x1qi1C5riVK7vCVK7fGWKLXHWqLULmuJUru89W5jj7dEqT3Wqik6CUiURme/huSsJEpDglWi1C5Wr7VJlNrrBIlSe6wlSu2ylii1y1ui1B5viVJ7rCVK7bKWKLXLW6LUHm+JUnusVVN0EpAojc5+DclZSZSGBKtEqV2sEqVh5i1RarcDNPXeHm+JUnusWZNEqT3eEqX2WEuU2mUtUWqXt0SpPd4SpfZYq6boJCBRGp39GpKzkigNCVaJUrtYJUrDzFui1G4HSJTa4y1Rao+1RKld1hKldnlrjVJ7vCVK7bFmTRKl9nhLlNpjrZqik4BEaXT2a0jOSqI0JFglSu1ilSgNM2+JUrsdIFFqj7dEqT3WEqV2WUuU2uUtUWqPt0SpPdYSpXZZS5Ta5a3aoo+ARGn09WnIzkiiNGRovRasb13t8dYapfZYS5TaY82aJErt8ZYotcdaotQua4lSu7wlSu3xlii1x1qi1C5riVK7vFVb9BGQKI2+Pg3ZGUmUhgytRKldtKlqkyi11wESpfZYS5TaZS1Rape31ii1x1ui1B5r1iRRao+3RKk91hKldllLlNrlrdqij4BEafT1acjOSKI0ZGglSu2ilSgNI2+JUrvwFVFqj7dEqT3WrEmi1B5viVJ7rCVK7bKWKLXLW7Pl7PA+fPwUlm7YhaxZs+KqC4ohW1wWOxWrlpglwOcEphw5ckQNA4nSqOnK0J+IRGnoGXvWoIcJe7wVUWqPtUSpPdasSaLUHm+JUnusJUrtspYotctbEaX2eEuU2mPNmvRuE3reXyzdgqcmL8OJU2dMZQVz5cBb91TD9RWLhr5y1RA2AlOnTsWwYcNQqlQpjB8/PqkdrVq1QsuWLdGsWbOgtI3PA48++ih47/zwww+TyuzRo4f5/8GDBwelnkgoRKI0Enohk7RBotRuR+lhwh5viVJ7rCVK7bGWKLXLWqLULm9FlNrjLVFqjzVrkii1x1ui1B5riVI7rK8fOBcb9x5NVtkV5xfEZ4/XstMA1eKTwNETpzF16RbsOHgcRfPmwG1VSiJfQvagEKMoHT58OE6fPo0+ffqgXr16ptxgitKzZ8/i2WefxaJFi1C0aNFkonTTpk2mvjJlygTlfCKhEInSSOiFTNIGiVK7HSVRao+3RKk91hKl9lhLlNplLVFql7dEqT3eEqX2WEuU2mUtUWqXt95tQsv74LGTqPLCzFSV5M6ZDStebBTaylV6mgSOnTyNW4f+hLU7DyflK1soF6Z1ro0CQZClFKWffPIJrrzySixcuBAff/wxsmTJkkyUUnTy88mTJ4Ne58YbbzQ/L168uGnTnDlzjGzdv38/Spcujd69e6NixYpJ7R0xYoTJ06BBA/O3E1H6wAMPgO93devWRfv27aNmJEiURk1XhvZEEn//HQcXL8bZ02eQt3o15L7mmtBWqNI1PcXiGJAotQdbotQea4lSu6wlSu3ylii1x1ui1B5riVK7rCVK7fKWKA0t71Onz+KiPtNTVXJevngsfObG0FYeY6UPm7sWp06fW97ATVqx9SC+W7kjVdb6FxdF1TIF3BSRlKfrTf/JS+dDR5S+8847uPvuu8Gp8DfffHMyUfrVV1+Z6fmdO3dGuXLlMHLkSOTLlw/9+vXDmjVr0KFDB9xyyy24/vrrMXHiRKxevRqffvopcuXKhW+//RZvv/02xowZg++//x7Tpk1LEqWLFy/GhAkTUKxYMTz//PMBnUskZ5YojeTeiZC27Zs4Edv79U/WmqKdO6FIx44R0sLobIYeJuz1q0SpPdYSpfZYS5TaZS1Rape3RKk93hKl9lhLlNplLVFql7febULPu+mwn7Bs84FkFbW9rjyev+2y0FceQzVQlL7+7WrrZ9yp/kV4stHFqep1RCmjPBkVOmvWLBNh+uCDDyatUfrQQw+ZNUzvu+8+c/zKlSsxevRoUKBSsM6dOxdffPGF+dmePXtwzz33mKhSTrPv2bMnBg0ahMqVK5uoVE9RyvyUrYxYlSi1PiRUYTgJ/HNLE5xYty5ZE+Ly5UPFRQvD2ayor1sPE/a6WKLUHmuJUnusJUrtspYotctbotQeb4lSe6wlSu2ylii1y1vvNqHlzbVJ24xbjH92HcaFRXKjRP6cqFWhGDrUuzC0Fcdg6ZEaUUpRevjwYdx555147LHHMGnSpCRR2qRJE2TPnh0FCiSPYH399dfBP0yvvvpqUm82bdrUyNJ//vkHS5cuxVVXXWV+xkjTrVu3on79+iYKNW/evBKlMXgN6JR5MdS4AmeOJl8UmmAoSilMlUJDQA8ToeHqrVSJUnusJUrtsZYotctaotQub4lSe7wlSu2xlii1y1qi1C5vvduElveLX67EuJ/Xo97FRTH8nspmjcr4+PjQVqrSXRGwtUaps24od76fMmWKEaOMKuWu91yPtFGjRmjdunWqNg8cOBBLliwxUahMlK233347unfvjty5c+Ovv/5KOmb58uVYv349KFK5Pimn5iui1NUwUKZoI/DPzY1xYsOGZKeVJWdOXPLH0mg71Yg6Hz1M2OsOiVJ7rCVK7bGWKLXLWqLULm+JUnu8JUrtsZYotctaotQub73bhI733NU7TTQp05edauOiwjkkSkOHO10lJ9/1Piduq1oC+eKDt+s9JacjShMTE01UKX9/d+rUyYhSbsbEKfMDBgxApUqVsHnzZrMGKdcznT9/Pvr27WvEaO3atc2ao5zOz/I49d4zaep9urpfB0Ujgb3jJ2CHRxi2c46lhw5F3gY3ReMpR8Q56WHCXjdIlNpjLVFqj7VEqV3WEqV2eUuU2uMtUWqPtUSpXdYSpXZ5690mNLxPnzmLNuMX48e/d5lp9k/dfAkoyhRRGhrekViq5xqlTvsoNLn5kiNK+bv8jTfewOzZs5NOoUyZMhg7dqz59//+9z98/vnn5v/j4uKMQOUO9ymTN1H60ksvmWxaozQSR4faFFICRxYswKH/3/X+5B9/4MgvvyBLXBzKjhuLXP+/XkVIGxCDhethwl6nS5TaYy1Rao+1RKld1hKldnlLlNrjLVFqj7VEqV3WEqV2eevdJjS8R89bj/5fr0T5Irkxq3tdxGXNIlEaGtRRUerp06exe/dus+N9QkJCsnM6duwYdu3ahZIlSxpZ6jZRxlatWhXt2rVze0jE59Ou9xHfRZHTQF443M0sPi4Om7t2w+E5cxBXqBDKjh2D+EsuiZyGRklL9DBhryMlSu2xlii1x1qi1C5riVK7vCVK7fGWKLXHWqLULmuJUru89W4TfN5/7ziEtuMXY/O+RAxrVR23VilpKlFEafBZq8TUBLiZE9OaNWswatQolCtXLmowSZRGTVeG/kQcUcpvHk7t2YMtXbvh6OLFyFGunJGl2UueuzErBYeAHiaCw9FNKRKlbigFJ49EaXA4ui3lyJEjZiH3HDlyuD1E+dJJQKI0neDSeZhEaTrBpeMwidJ0QMvAIQcOHDC7CGfNmjUDpehQNwQkSt1QCl4evdsEj6VTUu8py/HRoo1oUqUE3mlVI6kCidLgs1aJqQlMnz4dfI+uV68eihQpElWIJEqjqjtDezKeopQ1cYMnytJjq1YhoUoVI0uz5skT2kbEUOl6mLDX2RKl9lhLlNpjzZokSu3xlii1x5o1SZTa4y1Rao81a5IotcdbotQea9akd5vg8v7mz+14/IMlyJIFmN29Hi4omluiNLiIVVoME4g5Uco1GfgNLRc3Tpn40H3y5EkUKlQo2Y9mzpyJ6tWrp9rxK9bGTUpRyvNPXL7cyNKTW7Ygd+3aKDt6VKxhCdn56mEiZGhTFSxRao+1RKk91hKldllLlNrlLVFqj7dEqT3WEqV2WUuU2uWtd5vg8T5y4hTajluMhev3omeji9Gx/kXJCldEafBYq6TYJBBTopQ3jAcffBAPPPAAmjZtmtTjlCRPP/00Vq1aZT4rXry42RGsaNGi5t8333wznn32WdSuXTs2R8n/n7U3UWpexOcvwJauXXH64EHka3ILSg0eHNOcgnXyepgIFkn/5UiU+mcUrBwSpcEi6a4cRZS64xSMXBKlwaDovgyJUvesMppTojSjBAM7XhGlgfHKSG6J0ozQC/xYvdsEzszXEe/MXYtB365GpVL58VXn1I5CojR4rFVSbBKIGVE6aNAgMDKUqXPnzslEKRee/frrrzFixAjkypXL/LxMmTLo16+fRKnHdeFLlDLLoW9nYnPXrsDZsyh4770o3vf52LyignjWepgIIkw/RUmU2mMtUWqPNWuSKLXHW6LUHmvz3HHokNmtNVu2bHYrjsHaJErtdrpEqT3eEqX2WLMmvdsEh/fyzQfQZvxi7D58HOPa1ET9i4ulKliiNDisVUrsEogZUcobM38Ztm/fHo888kgyUdqqVSuzAC1/xvTNN9+YiFKKVU7R94wo3bNnD/r06YOrr74abdq0iamRk5YoJYj9kz/DtmefNUyKPPooinbrGlN8gn2yepgINlHf5UmU2mMtUWqPtUSpXdYSpXZ5S5Ta4y1Rao81a5IotcdbotQea4nS4LHuPmkppvy2BXdfWQYD76zitWCJ0uDxVkmxSSBmRKnTvc2bN0fbtm2TiVKK0K5duxohyrRixQrz78mTJyN//vxJorRy5cpGppYqVQoDBw40UQxc8zRWEh+Uz549i5w5c/o85X0TJmDXwEHm50Wf7IGCMSaTgzkWDnIpg3z5glmkyvJBgF8CcO1i7Qwe+iHCewijHPNo47fQw+Y60omJ5ncVd75XCi0BPg/wXpI793+bKYS2xtgunfeR+Ph4xMXFxTYIC2fP9fv5RQAjeJVCT+Dw4cPmPuJtP4XQ1x5bNfDdhl/g8l6iFHoCerfJOOOpS7ei+6fLkDc+G77tUgfn5fP+Xs4vAXgPiaV3Gz0PZHx8qYT/CMS8KOVLe8OGDfHMM8+gfv36hszatWvx+OOPY8KECShZsqQRpd26dcNHH31kxOngwYOTpnrxhh8riaz4h0IprXRw5EgcGj3GZCnQpw9yN/tvPdhYYRWM8+RLt274wSDpvww+JPNhQi8l/lllNAfvIeStsZ1Rku6O19h2xykYudz+jgxGXSoD5j6i+7adkaCxbYezU0taG8/abUn016axbbeP9W6TMd77jp5Ex0kr8OfWQ+jV8EK0urKkzwJj8XekAozSHl/8wpN//H0xxJmWDIyL9Xe1mBelHE6OCG3UqJEZXd4iSvk5b+5cz7RcuXIZu8tl0qP9Tb33PK0dr7yCve+9bz4q/fZbyNuwYSY96/A1W1Pv7bHX1Ht7rDX13h5r1qQ1Su3x1tR7e6xZk6be2+Otqff2WLMmTb23x1tT7+2xZk16t8kY78EzV2PonLW4+oJC+KT9tWkWpqn3GWOd2Y6eOnUqhg0bZmY+jx8/Pqn5XGKyZcuWaNasGYYOHYqffvoJn3zyic/T47jhpue9evXCjTfemNkwBLW9EqUAOIAYTdquXTsD19sapbVq1cL27duxY8cOjB49GgULFgxqR2SGwgIRpTyfrb1748DnXwBZs6Ls2LHIfc3VmeE0I6aNepiw1xUSpfZYS5TaYy1Rape1RKld3hKl9nhLlNpjLVFql7VEqV3eerdJP+/FG/bigTGLcOzkaUx69FpcVb6QRGn6cYbnyBNHgeWTgEPbgTzFgEotgPj8QWkLRenw4cNNYB/30+H+O0yeopQei89OF110kc86GWW/cuVKs7F5rEfoxowo5aDhC/pdd92F1q1b49Zbb01as23kyJGYPn06+Dd3ve/UqZPXXe9r1KiBRx991AysESNGmLyxlAIVpThzBpuf6IJDs2YhrkABlB03FvGXXhpLyDJ0rnqYyBC+gA6WKA0IV4YyS5RmCF/AByuiNGBk6T5AojTd6NJ1oERpurCl6yCJ0nRhS/dBiihNN7qAD5QoDRhZhg7Qu0368XWY+BumL9+GNteVR9/bLvNbkCJK/SKym+FkIjCiLrB79X/1FiwHtP8eSMh4AB5FKSNFr7zySixcuBAff/yxWZ7IU5R+9dVX+O233/D888+bNixZssREoW7bts0sL0lPduedd+Khhx5Cz549cfnll2PAgAEoW7asmemwePFitGjRAtzc/LPPPjP7IHAN3MaNG6Njx45Rt4RdzIjSHj16YNmyZckuCIrR8uXLg4umP/XUU1izZo35ebFixTBkyBDzNxOn5j/33HO47rrrzJSBRx55xPzsnXfe8btep90rMLS1BSxKuVzB/v3Y3KUrji5ciBznn4+yY8cge6lSoW1olJSuhwl7HSlRao+1RKk91qxJotQeb4lSe6xZk0SpPd4SpfZYsyaJUnu8JUrtsWZNerdJH++PF29Er8+Wo3j+eMzqXhd5cmbzW5BEqV9EGcvw4+vAmVPuy9i2DFj9der8FRoCpWq4L4c56/VOld8RpfRTd999N+i+6LA8RSn33+HUey4luWHDBjOb+pprrsHtt99u/r106VK89NJLaNCgAV555RXUrFkTHTp0MI6sSpUq4Mbm/LN7926zXw+jTjdt2oRXX301WRRrYCcTubljRpS66QI+mPBhsGjRom6yx1ye9IhSQjqxcSO2dO2GYytXIqFyZZQZMxpx2s3d7/jRw4RfREHLIFEaNJR+C5Io9YsoqBkkSoOKM83CJErtsZYotctaotQub4lSe7wlSu2xlihNH+ut+xPRZvxirN5+CIPuqoq7riiddkE7VgDf9gbWzwOyZgMuugm49Q0gb4n0NUBHeSdAUTqnn306dZ4EbnzOpyj98MMPzRT8WbNmmQjTBx98MGmNUk9RyvVKZ8yYAUaZptzMOKUorVChgtnY3DNx83Pu67Nr1y58/vnnJhqVkajRlCRKo6k3Q3wu6RWlbNaxFSuwuWs3nNy0Cbmvuw5lx4wOcWszf/ESpfb6UKLUHmuJUnusWZNEqT3eEqX2WEuU2mUtUWqXt0SpPd4SpfZYS5Smj/XLX/+FUfPW4cZLimHMQzX9FzK2EbDxl+T5LmsG3P2e/2OVwz0BE1F60n1+E1E6PXV+E1F6hftymLNerzRFKWdLcwr9Y489hkmTJnkVpU8//bQp47XXXktVVkpRWq1aNbRv3z4pH6fjz5kzB5dccomZlj9v3jw0b94cbdu2Dew8Ijy3RGmEd1AkNS8jotS8sP/yi4ks5XT8fLc0Rqk33oik04u4tkiU2usSiVJ7rCVK7bE2990jR8x63FxDSCm0BCRKQ8s3Zemaem+Pt0SpPdasSaLUHm+JUnusWZPebQLjPW/NbjwwZqE56Osn6uDykvnSLuDEEeCVkqnzxBcAev0bWOXKHVwCXKN0ZF1gV2jXKGVEKRN3vp8yZYp5B2BUKXe994woHTRoEBYtWoRPP/001XmmJUq5Puk999yDfv36mWn7TI8//riZpi9RGtwho9IyEYGMilKe6qHvZmFL1644e/o0Ct7TEsVfeCETEbDbVD1M2OMtUWqPtUSpPdasSaLUHm+JUnuszfPEoUNISEgw62QphZaARGlo+aYsXaLUHm+JUnusWZPebQLj3Xb8YsxZtROdb7gIPRpe7P9gn6I0P9Bro//jlSO0BEK86z2n2juilGvUMqqUv7+5UXlKUTp//nz07dvXyE3+jBs6cf1Sbnqelig9ePCg2dCJcrRhw4b49ddfzRqlXBdVojS0w0elRzCBYIhSnt7+KZ9j2zPPmDMt3L49inVPvuZFBCOw2jQ9TNjDLVFqj7VEqT3WEqV2WUuU2uUtUWqPt0SpPdasSaLUHm+JUnusJUoDYz1+/ga8MG0FLiqWB991r4ssbg8fegWwZ23y3JfeBrT8wG0JypcJCTibOTmilKfAne/HjBnjVZTy5+PGjUsSq/z3rbfeii5duhhRSvl5xRVXmM2cqlevbjZ+ctLo0aPN+qdMBQoUwMmTJ9G0aVOJ0kw4btTkIBEIlihlc/ZOeA87BgwwLSv25JMo/MjDQWpl9BQjUWqvLyVK7bGWKLXHmjUpotQeb4lSe6xZk0SpPd4SpfZYsyaJUnu8JUrtsWZNerdxx3vdriNoPW4RNu09iuH31UDjyi43Yjq0DXjnauDYgXMVZcn6/5s5DQHy+9kEyl3TlCvKCPC9jBsyFSxYMKBlurgOKqNLS5b0stRDlDDSGqVR0pE2TiOYopTt3T3sHewaNsw0vUS/l1DgrrtsnEamqUMPE/a6SqLUHmuJUnusJUrtspYotctbotQeb4lSe6wlSu2ylii1y1vvNu54Pzf1T7y/4F80rVoSb99b3d1BzDXpAWDlNOCSW5HYdASyZI1DfHyC++OVUwREIImARKkGg2sCwRalrHjHgFexd8IE04ZSb72JfI0auW5PtGfUw4S9HpYotcdaotQea4lSu6wlSu3ylii1x1ui1B5riVK7rCVK7fLWu41/3t+t3IF27/2KrFmyYO6TdXF+4dz+D2KOhSOAb57C2YQCGHp9O/y2fy3issTh6pJXo32V/3Ysd1eYcomACEiUagy4JhAKUcrKt/Xpg/2fTQGyZEHZsWOQ+9prXbcpmjPqYcJe70qU2mMtUWqPtUSpXdYSpXZ5S5Ta4y1Rao+1RKld1hKldnnr3SZt3sdPnQE3cPp57W70anwJHqt7obsO2vEnMPw6k7dnjcaYsW9FsuPuu/Q+9Lqql7uylEsERMAQkCjVQHBNIFSilA3Y/MQTODTzO8Tlz29kafzll7tuV7Rm1MOEvZ6VKLXHWqLUHmuJUrusJUrt8pYotcdbotQea4lSu6wlSu3y1rtN2rzf/eEfvPrNKlQtUwBTO54Tn67S+CbAhp9wssaDqLHv+1SHFE0oijl3z3FVlDKJgAicIyBRqpHgmkAoRemZQ4eMLD2y4BfkKFsGZcaMQY4yZVy3LRoz6mHCXq9KlNpjLVFqj7VEqV3WEqV2eUuU2uMtUWqPtUSpXdYSpXZ5693GN++V2w7i/tELsffICbzX9ipcX7Gou86Z+wrww2tA4QtxqO0M1Jp8Y6rjcmfPjV9a/eKuPOUSARGQKGWiCQMAACAASURBVNUYCIxAKEUpW3Jy61ZsfqILjv35J+IrVULZ0aMQV6BAYI2Motx6mLDXmRKl9lhLlNpjLVFql7VEqV3eEqX2eEuU2mMtUWqXtUSpXd56t/HN+6nJyzDp102496qyGHBHZXcds/4HYELTc3nv/8zscN/os0bYenhrsuOrF6uO9xq/565M5RIBEZAo1RgIjECoRSlbc2zVKmzp0hUn/v0XuWvVMrIUWbMG1tAoya2HCXsdKVFqj7VEqT3WEqV2WUuU2uUtUWqPt0SpPdYSpXZZS5Ta5a13G++8v1q2FZ0+/B354rNjzpN1USRPTv8dc+Y0MLwWsGsVULs7cFNfc0zTL5pi/YH1SccXii+EV+u8imtLag8Q/1CVQwT+I6Cp9xoNrgnYEKVszNFFi7G5a1ec3rsX+W6+GaXeHOK6jdGUUQ8T9npTotQea4lSe6wlSu2ylii1y1ui1B5viVJ7rCVK7bKWKLXLW+82qXkfTDyJNuMXY8m/+9CveSU8cM357jrl6x7A4tFAmauAh78zx7z121sYvXw06pSug9YVWyMuaxxqlKyBrFliM+jIHUjlEgHvBCRKNTJcE7AlStmgQ7NnY0vXbjh78iQKtLwbJV580XU7oyWjHibs9aREqT3WEqX2WEuU2mUtUWqXt0SpPd4SpfZYS5TaZS1Rape33m1S835r1hoMmfU3al1YGB+2u8Zdh6yYAnza5lze9t8DJatj3pZ56DCrA/LnzI/v7vwOOAlkyZIF8fHx7spULhFIg8D+/fsxf/583HLLLTHDSaI0Zro64ydqU5SaB8UvvsDWXr1Nwwu3ewTFevTI+ElkohL0MGGvsyRK7bGWKLXHWqLULmuJUru8JUrt8ZYotcdaotQua4lSu7z1bpOc9+8b96PliAU4cfoMPnu8Fq44v6D/Djm8Exh+HXBkJ9DwZaBWJxw5eQT1J9VH4qlEjGgwArVK1kJiYqJEqX+aUZNj6tSpGDZsWNL5JCQkoFatWmjTpg3OO++8DJ/nsmXL0KNHD8ycOdOMq1hIEqWx0MtBOkfbopTN3vv+B9jx8svmDChKKUxjJelhwl5PS5TaYy1Rao+1RKld1hKldnlLlNrjLVFqj7VEqV3WEqV2eevdJjnvJz76HdP+2IpH6lyAZ5tc6q4zPn0IWPE5cHFj4N6PzTGPzXoMP2/5GY9WfRSdqnUyn0mUusNpMxdF9tfrvsauo7tQOKEwGpdvjLw58galCRSlI0eOxKhRo3DkyBGsX78eEyZMMP/Pz4oWLZqheiRKM4RPB0c7gXCIUjLd/b/h2PX22wYvp+BzKn4sJD1M2OtliVJ7rCVK7bGWKLXLWqLULm+JUnu8JUrtsZYotctaotQub73b/Md78pLNePLTP1Aifzzm9KiHhBxx/juDa5JybdKc+YDHfwYKlMXIZSMx9PehuKrEVRjTcExSGRKl/nHazHHs9DG0/LIl1h1Yl1Rt6byl8XGTj81yCRlNjij9+uuvk4o6fPgw2rdvjzJlyuC1114zn8+ZMwfDhw8Hp9KXLl0avXv3RsWKFcFn2NatW+Pll19GuXLlTF5GqObNm9d87ojS22+/HTNmzACfC1q0aIF27dqZvE8//TT+/PNP83mBAgXw8MMP4+abbzY/GzBgALJly2bk7bp161ClShV07tzZtCuSkyJKI7l3Iqxt4RKlxLDjtYHYO26cIcLNnbjJU7QnPUzY62GJUnusJUrtsWZN/CY5e/bsyJEjh92KY7A2iVK7nS5Rao+3RKk91qzpwIED5uU0a1ZtwBJq8hKloSacvHy925zjsfPQcTwwZiFWbz+EN+6uhjtqlPLfETv/Ojfl/uxpoPm7QLV7sXj7YrT9ti1yxOXAzBYzTZSikyRK/SPNSI5Ry0bh5JmTrotYtXcV5m6amyp/nVJ1UKlIJdflMGOHah1S5fcmSpnpww8/xMSJE0GBumbNGnTo0MGsM3r99debz1evXo1PP/3UiMwmTZrg7bffxqWXnotufuaZZ1CwYEH07NkzSZRWr17d5Fu4cCG+++47jB071gjP999/HxUqVEDhwoXx/fffY9KkSaZcSlPWSUF63333mTxDhw5FjRo1zFT+SE4SpZHcOxHWtnCKUqLY9uxz2D95sqFSdswY5L6uVoQRCm5z9DARXJ5plSZRao+1RKk91qxJotQeb4lSe6xZk0SpPd4SpfZYsyaJUnu8JUrtsWZNerc5x/u1Gasw/Pt/0OCy8zDqwSvddcKE24D1PwLV7weavYPTZ07jhk9vwN5jezGk3hDcdP5NycqRKHWHNb25KErf/v3cjFebqV2Vdnii+hOpqvQlSn/88Uf069cPn3/+OcaMGYO5c+fiiy++MMfv2bMH99xzj4kqrV27titR6rlGKSNK77//fjDKlO93f/31l/mza9cuTJkyBW+88QYqV65sRGm1atVMdCvT5MmTjUT95JNPbKILuC6J0oCRxe4B4RalJL+5S1cc+vZbxOXLhzJjRiOhcuWo7RA9TNjrWolSe6wlSu2xZk0SpfZ4S5TaY82aJErt8ZYotceaNUmU2uMtUWqPNWvSuw2w4J89uHfULwb8jK7X45LiLtao/OFVYO4AoGD5c1Puc+RG17ldMXvjbDxw2QN4quZTqTpSojS0YzuzRJR+9NFH4J9p06ahV69eBsqrr76aBKdp06ZGlt55550Bi9Lu3bubiNNu3bqZqfTbtm1D1apVUbx4cUyfPh2vv/66+XdKUfrNN99gxIgRScI2tD2V/tIlStPPLuaOjARReiYxEZs7dcKRn+cje+nSKDtmNHKcf35U9oUeJux1q0SpPdYSpfZYS5TaZS1Rape3RKk93hKl9lhLlNplLVFql7febYD27y/BzBXb0eWmCuh2U0X/HbDhJ2B8k3P5Wk0CKjbCeyvew6BfB5kp2x81+chrGRKl/tHazBGONUr5fvvII4/gwgsvNFGlAwcOxJIlS5IiObmGKaNBKTwbNGiAxo0bY/DgwWYNUSZvU+89I0qbN29ujuMapyybkaL5859bb5WfS5TaHGGqK6wEIkGUEsCpHTuwuXNnJC5bjvjLL0PZUaMQV6hQWNmEonI9TISCqvcyJUrtsZYotcdaotQua4lSu7wlSu3xlii1x1qi1C5riVK7vGP93eaDX/7Fs1/8iQrF8uC77nVdwD97bl3SHSuA67oADV7C8t3L0errVubY6XdMR5m83jfEkSh1gddyFlu73lOAbtiwwawbyndcTrnnWqHz589H3759jRjlVPsJEyaAU/a5jmnRokXRpk0bI0m5EROFKkVnvXr1kq1RyrKKFStmjhs9erSZXs/nMZbLtUcZTcr1UMePHy9Ranl8qbowEogUUUoEx9euNbL0xPoNyH3ttSgzaiSyZMsWRjrBrzrWHyaCT9R3iRKl9mhLlNpjLVFql7VEqV3eEqX2eEuU2mMtUWqXtUSpXd6x/G6zce9R3DvyF2zZn4gRD1yBRpcX9w9/ek9g0Uig1JVAu9kmf6PJjbD1yFb0r90fzS5s5rMMiVL/eKMpB8Uld6lniouLQ+7cuXHVVVcZ+Umx6aT//e9/Zr1SJx83VGL0J9Ps2bON+OTv/Hz58pkNnmrWrIknn3wSy5cvN4KVZZ8+fdrk5/qkrVu3xtmzZ830+xUrVpjPL7nkEqxatSopOpVT77kJVLt27czPZ8yYgXfffVdT76NpAMb6uUSSKGVfHP3tN2x5ogtO7d6NvI0aofRbb0ZVF8Xyw4TtjpQotUdcotQea9akNUrt8ZYotceaNUmU2uMtUWqPNWvSGqX2eEuU2mPNmmL53ebFL1di3M/rcXv1UhjSspp/8CunApMePJePkrTUleg1rxe+Xvc1WlRogRdqvZBmGRKl/hHHag46HW64VLJkSSM+PROfZbnJ03nnnecVD3/OtUiLFCmChISEZHl2796NrFmzolCUzPTVGqWxeoWk47wjTZTyFA5//wM2d+mCs8ePo8Bdd6FEv5fScWaReUgsP0zY7hGJUnvEJUrtsZYotctaotQub4lSe7wlSu2xlii1y1qi1C7vWH23mbt6J9qMW4y4rFnwfc96KFMwV9rgj+4+N+X+0HYz3Z7T7ietnoR+v/TDBfkvwNTmU/12nESpX0TKIAJpEpAo1QBxTSASRal5oPzyS2zteW63v8KPPIxiTz7p+pwiOWOsPkyEo08kSu1Rlyi1x1qi1C5riVK7vCVK7fGWKLXHWqLULmuJUru8Y/Hd5vSZs2g9bhF+WrMbfW65FO2uv8A/9MkPA39OBio0Au6bhDX71uCOaXeY4ybfNhkXF7rYbxkSpX4RKYMISJRqDASHQKSKUp7dvokTsb1ff3Oixbp3Q+H27YNz0mEsJRYfJsKFW6LUHnmJUnusJUrtspYotctbotQeb4lSe6wlSu2ylii1yzsW321G/7Qe/b9aiWplCuCLjtf5B/7rWOCrbkCO3MDjPwMFy6PZF82w7sA6PHP1M7j3knv9lwFAotQVJmUSAZ8EFFGqweGaQCSLUp7E7nffxa433zLnU/yFvih4zz2uzy0SM8biw0S4+uHw1n2Iy5YNCcXyhqsJMVOvRKndrtYapfZ4S5TaY82aJErt8ZYotcdaotQua4lSu7xj7d3m7x2HcNe7C3Ag8SQmPnI1rruoSNrAd68+N+X+9Emg2TtA9fvxwvwX8Nmaz9C4fGMMvH6g6w6TKHWNShlFwCsBiVINDNcEIl2U8kR2Dnode8aMMedU6o3ByHfLLa7PL9IyxtrDRDj4H1u9D/u/WItT+46Z6rOXyI1Cd1VE9pJ5wtGcmKhTotRuN0uU2uMtUWqPtUSpPda/7fgNP2/5GYknEnF5scvR5IIm9iqP0Zq0mZO9jpcotceaNcXau80zU5bjw0Ubcf8156N/80r+Yb/XHFg3F6jWCmg+HNP+mYY+P/VBidwlMPPOmf6P98ghURoQLmUWgVQEJEo1KFwTyAyilCez7fm+2D9pkjmvsqNGIXed2q7PMZIyxtrDRDjY73hjCU7uPJqs6viKBVGkrYuHmXA0OArqlCi124kSpfZ4S5TaYy1Raoc1d1fmLsueqemFTfFy7ZftNCBGa5EotdfxEqX2WMeaKJ3x53Y89sES5E/Iju+frIeCuXOkDfvHQcCc/kCBsmbK/aYTB3DLlHMBPxMaT0CNYjUC6iyJ0oBwKbMISJRqDKSfQGYRpTzDLd264+A33yBr3rwoO3oUEqpWTf+Jh+lIidLQgj+19xi2D1ycqpKsCdlQsu+1oa08hkuXKLXb+RKl9nhLlNpjLVFqh/UjMx/Bwm0LU1U29+65KJLgZwqpnSZGZS0Spfa6VaLUHutYEqVHTpzCfaMWYumm/Xjl9spodXXZtEH/Ox8Y1/hcnns/Bi5ujJZftcTKPSvR9YqueLjSwwF3lERpwMh0gAgkI6CIUg0I1wQykyg9e+IENnXoiCM//YTspUoZWZqjfHnX5xoJGSVKg98LZxJPIXHFHhxbsQeJf+3xWkFc3hwo0efq4FeuEg0BiVK7A0Gi1B5viVJ7rCVK7bBuPrU5/tn/T6rKpjSdggoFK9hpRAzWIlFqr9MlSu2xjiVR+s7ctRj07WrUvqgIPnjExTvFu3WA7cuAWp2Bhv3x6qJXMfGviahbui6G3TgsXZ2UePgwssTFIT4hIV3H6yARiHUCEqWxPgICOP/MJEp5Wqf27MHmDh2R+McfiL/0UpQZNRLZimSeCAiJ0gAGZxpZ05KjWXNnx5kjJ5MdnbtmcRRsoRfA4NBPXYpEaajIei9XotQeb4lSe6wlSu2wvvfre/Hn7j9TVaaI0tDylygNLV/P0iVK7bGOFVG6fPMBNP/fzzh95qzZ5Z673aeZZvQCfhkOlKwOtP8eMzfMRI8feqBAzgL4tsW3yJU9V0CddOyvv7DjlQE4ungxkCUL8tSpg+IvvIDsJUsEVI4yi0CsE5AojfUREMD5ZzZRylM7sX49NnfshOPr1iH3NVejzMiRyJLDzxoxATAJZVaJ0vTTdeSoiR5NETnKNUgTLi+M+MsLA2eBAzM24Pj6/UDWLEioWAgFbrsQyJL+unVk2gQkSu2OEIlSe7wlSu2xligNPevfd/6Ox2Y9hqMnk6/jzZpvKHsDBl0/CDniMsfzVOhpBbcGidLg8kyrNIlSe6xjRZR2n7QUU37bgkfrXojejS9JG/BfXwGf3Hcuz8PfYVeR8mg4uSFOnTmF4TcNR+1Sge+zseHee5H4+9Jk9eZtcBNKDx1qt7NVm1UC7dq1w4YNG0ydxYoVw8SJE9Nd//fff4/ly5ejc+fO6S4jrQOffvppPPzww6hYsWJIyg9WoRKlwSIZA+VkRlHKbkn8Yxk2d+6EUzt3IW/Dhij99luZorckSgPrpjPHzk2rT/wzbTkalyf1i93Ro0cRFxeHnDlzBlapcgdMQKI0YGQZOkCiNEP4AjpYojQgXBnOfOjQISQkJCBbtmwZLksFJCfAKNIn5jyBXYm7cMV5V+CG0jfg+Mnj4H9j/hxjXuLrlamHQXUHIT4uXviCTECiNMhA0yhOotQea9YU7e82X/y+BV0/WYqSBRLMBk45smX1DThxHzD8OuDgFuCmvkDt7mj9TWv8tvM3tK/SHp2rBy6pzhw9itU1rkhVZ1zevKi4eJHdzlZtqQicSUzEwS+/wqmdOxFXpAjy3XIL4vLlDQopPoO+9NJL4Nq0AwYMyNCz0QcffIDZs2dj3LhxQWlbykIaNGiA/v374+qrXSxLEZIWuCtUotQdJ+UCkFlFKTuPa5Vu7twZZxKPocCdd6JE/34R36fR/jARjA5w5KhZc3Rl8jVHTeToZeciR7nuaFpJojQYveGuDIlSd5yClUuiNFgk/ZcjUeqfUTBzSJQGk+Z/Zf29728jSbcc3oKrS1yNt294G9nOZMPJkyeRO3duzNk4Bz1/7IkTp0+Y9fMoSxOyaQ28YPaGRGkwaaZdlkSpPdbRLkr3HjmBliMWYM3Ow3jrnupoVq1k2nCntAOWTQIuugm4/zO8+dubGLN8DGoWr4mxjcamq2N8itJ8+VBxUeqN+dJViQ5KF4Gzx45hfYsWOP7PuqTjs5cpg/KTP0Vc/vzpKjPlQRSlfO5/7bXXzI+mTZuGefPmIV++fPj5559RokQJPProo7jmmmvMz+fPn4933nkHe/bsMb/fGzZsiEaNGqFjx444ceKEiUxlGjNmDIYMGYKyZcuCv58WL16MFi1a4Ndff8VVV12FW265xeSbM2cOvv3226T6lyxZgmHDhmHbtm3Inz8/7rrrLvz777+YMWOGqY9/br31VlSqVAlvvPFGMjH7+OOPo23btqhZs6Y5jz/++AOVK1c2x15wwQXo2bMnPv74Y0yePNk4qhtvvBGtWrVC8eLFg8KShUiUBg1l9BeUmUUpe+fg9OnY0r2H6ajCD7dFsZ49I7rTJEq9d0+acrTCf9Pq/clRz9IlSu1dChKl9lizJolSe7wlSu2xZk0SpcHnveHABnSe2xn8u0axGkaS5s+Z37wwOaKUtX6/6XsjS4+dOoY6peuYafi5s+cOfoNitESJUnsdL1FqjzVriuZ3m8EzV2PonLVodHlxjHggdVRnMtJLJgBfPgFkTwAe+xk/Jm5Bx9kdTYT+Ny2+QZGE9O2pcWDqNGzt3Zs7pyarLm+jRij91pt2OzvKa9v97gjg1CnXZ8m1Yw/Nnp0qf5661yO+cmXX5TBj0U6dvOZPKUrHjh2Ljz76yAjQOnXqYPr06Vi7di0+/PBDIxdvu+02IyqbNGmC9evXY+HChejevbuRlhSTlJFMV155JTp16oQ1a9agSpUqRljyDyUoBeX9999v8k2ZMgWffPKJ+cNlALgcAKXs7bffbv69dOlSk5ci9r777sNll11m5O2WLVvw3HPP4bvvvks6L7bpySefRP369eGcByVo3bp1k2Qo6+fyAOXKlcPIkSONEO7XL3jBcBKlAQ3L2M6c2UWp+QX9ySfY3vcF05FFu3ZFkccejdhOjeaHiUChh0KOerZBojTQHkl/fonS9LNLz5ESpemhlr5jJErTxy29R0mUppec9+MYQcpIUkaUVipSCW/XfxtFcxU1mVOKUn72w+Yf8NQPT+HoqaNmHT1GlubJnie4jYrR0iRK7XW8RKk91uY9bN8+FCxY0G6lFmpbvGEv7np3ganpu+51UaFYGvfCPWvPTbk/dQxo+jYOVboDDT9riMMnDmNwvcFoeH7DdLV473vvmU2cmLKXKoWT27YhS7Zs5zZz6vs8sv1/dGC6CtdBqQhQlO560758prugw/CWvInSX375xUhEpnXr1pmI0k8//dRMzafAZGTogw8+iFy5/ts0zNvU+w4dOqBChQro1q1bUtVt2rTxKUqHDh1qoj+/+uorZMmSfPOPlFPv2UZ/onTu3Ll47733ksp66KGHUKpUKSNcmVauXInRo0eb+oK1JJNEqS581wSiQZTyZPeMGoWdg98w5138+edQsFUr1wxsZozWhwm3DP3JUU6p56ZMgUSO+qpbotRtr2Q8n0RpxhkGUoJEaSC0MpZXojRj/AI9WqI0UGK+83MtUkpSrk1asWBFE0laKk+ppAO8iVL+cN6WeUaWHj55GLVK1jKyNF+OfMFrWIyWJFFqr+MlSu2xZk3R+m7T/r1fMXPlDnRvUBFP3Fghbagf3AGsnQ1UaQncMRKPfvco5m+dj/svux9P13w6XR2ya+hQ7H7nf+bYYk/1ROG2bc1alRRU8fFaRzpdUP0cRFF69tRJ10UzovTw7Dmp8uepWxcJAUaUFunU0Wu9/kTpzp07jVh8//33TVQmheiECRNMWZSOlKGcSu9LlFarVg3t27dPqjstUcoNm5icZQA8G5weUeopfFkWI06zZ8+OAgUKJGPx+uuvo0iR9EVkp4QqUep6eCtjtIhS9iRFKYUpU8nXByH/rbdGXAdH68NEWqD9yVFnt/pgyFHPdkiU2hv+EqX2WLMmiVJ7vCVK7bFmTRKlweF94PgBI0m5gUi5fOWMJC2fv3yywn2JUmb6eevPRpYePHEQ15a41shSTtdXSj8BidL0swv0SInSQIllLH80vtt8vHgTen22DBXPy4uZ3a5PG9C8N4DZLwL5S5sp9+/+/THeWfqOieL/qMlH6YK7vV9/7Pv/Hc5LvPIKCtxxuylHojRdOEN20Lk1Su/E8X/+Saoj1GuUcsq6p2BMKUrZEPqdVatWGXnKv7/88kszNX/WrFkYP358UlspUVOKUk6tv/baa81aokyeU+8HDRqERYsWmejVlImilFPknbVSuebpM888k+bU+5SilOuRcj3V1q1bh6zPJEpDhjb6Co4mUcre2f7Ci9j38cemo8qMGAGuERJJKRofJrzx9SdHgxk56qt/JUrtjXyJUnusWZNEqT3eEqX2WLMmidKM8048lYjOczpj4baFKJmnpJGkFxe8OFXBaYlSZl6wdQGe+vEp7D++32wAxTVLC8ZH3/TajBN3V4JEqTtOwcglURoMiu7LiLZ3m637E9Fi+HxsO3AMo1tfiZsuPc83jE0LgTH/P63+nolYVKAYHv72YZP/q9u/wvn5zncPEsCZI0ewre8LOMipzTlzovSbQ5Cnfv2kMiRKA8JpJfO5Xe+/xKmdu87tet/kFsTlDd2u92mJUr6PTZ06FS1btjTLYVCOUpZSlC5btgx9+vQxkaVZs2Y1P+e6oilFKTeC4oZN3Ohp8+bNYDQn36m5Rik3iurbt6+RqM2aNTMbOv30009GbFKwVq9e3USnHj58GDly5DB5KEurVq2Kb775xkha/ttZozSlKB0xYoTZ5GnAgAFmMyjWTynbo8e5/WiCkSRKg0ExRsqINlHKbtvS40kc/PprZM2TB2VHjURC9eoR05vR9jDhCZZy1OxU7223+goFzU71wZpW76ZDJUrdUApOHonS4HB0W4pEqVtSGc8nUZpxhoGUIFEaCK3UeU+dOYUn5j6BeZvnoWhCUSNJGdXkLfkTpTyGspWydO+xvWbX5tfrvo5C8YUy1sgYPVqi1F7HS5TaY82aou3d5uXpf2HUj+vQokZpDL67atowR9YFti4FrumAUw37ocHkBtiduBv9ruuH5hc1D6gjTm7Zgm0vvIAj835CtuLFUXrIG6neYSVKA0Ka6TNTPnLDJCbuVj9x4kSzizw3aHr33XfN57t27TI7wzsC9LHHHsPBgwfNz4oWLWrEZb169cDnWW6SxI2fmCgkKSApN1mPk7gBVK9evbB3717ExcWhfPny4O8vSlcm1u/8P//NjaO6dOliIkfffPNNs/5506ZNTV3cmIniluniiy/G6tWrk0RpyvNgHh7LTadme2yQVaZMGbPxU7CSRGmwSMZAOdEoSrkr4KbHHsfhH39E9pIlUWbUSOS88MKI6M1oe5g4c+w0jq3YHTFy1LOTJUrtDXmJUnusWZNEqT3eEqX2WLMmidKM8e46tytmb5xtpslz46Ya59XwWaAbUcqDF29fbGQpX/6vPO9KMw0/vbs3Z+zsMvfREqX2+k+i1B5r1hRN7zbz1uzGA2MWIltcFvzYsz5KFkjwDfPbPsCCYUCJqsCjP6LL3C6Ys3EO7qhwB16s9WJAnXBs5UqzMXHi8uWIv+QSlHpzCHKUK5eqDInSgLDGbGaKUj6/FiqU+otN/i5itGdCQhpjm7N0t283opWyNGXiex8FLaNSWZaT+DkFa+HChZM2aGJ0KduSct3RtDrn9OnT2L17t9nx3l87A+1kidJAicVw/qgUpQBO79+PTY93QOLvv5tfOGVGjkS2Yud2eg1nioaHiUiWo559K1Fqb6RLlNpjzZokSu3xlii1x5o1SZSmn3fPH3tixvoZSMiWYCJJrylxTZqFuRWlLGTJjiVGlu48utPI19evfx1Fc4X/mSr9tOwfKVFqj7lEqT3WrCka3m0cYq1G/YL5/+zBc7deazsCgwAAIABJREFUhodrJ1/XORnV1dOBj+4991HbGRh/aDUG/zoYFxa4EF80+yKgDjiyYIGRpCc2bkTua69BqSFDEJdiMxunQInSgNAqswikIiBRqkHhmkC0ilICOLFxEzZ36IDja9ci19VXoeyIEcgS5l0CM+vDRNpytADiLy9idVq9mwEuUeqGUnDySJQGh6PbUiRK3ZLKeD6J0owzDKQEidJAaP2Xt89PfTDtn2nIljUb3qr/Fq4v7X999kBEKWv6fefvoIzdcWQHqherbiJLz8uVxtp96TuVqD1KotRe10qU2mMdTaJ0/PwNeGHaClQvWwCfd7jON8RjB4Dh1wEHNgE3PIdllzbEfdPvM/kn3TYJlxa61HUHHPxmBrY99xzOHD6MfI0bo9SQN9I8VqLUNVplFAGvBCRKNTBcE4hmUUoIx1aswKYOHXFqxw7kbXATSg8d6ppNKDJmJlF65vhpHPvT17T6yJSjnn0mURqKEey9TIlSe6xZk0SpPd4SpfZYsyaJ0sB5v7jgRUz+e7I5cEj9Ibip7E2uCglUlLLQP3b9gZ4/9MS2I9tQtWhVI0tL5C7hqr5YzyRRam8ESJTaYx0tonTd7iNoNuwnHDp2Ch+1vwbXXlDYN8TPHwP++Ai48Abggc/ReEpjbD60Gb2v7o1Wl7RyDZ+bD3MTYqaCre5F8eef93usRKlfRMogAmkSkCjVAHFNINpFqZEKC37B5o4dceboURRocQdKvPyyaz7BzhjpotTIUa45+uceJK7ck+z04ytEvhz1bLBEabBHr+/yJErtsTb3tCNHkD179mTrAtltQezUJlFqt68lSgPjPWDhAHy46twGCwOvH4jG5Ru7LiA9opSFL9+93MjSLYe3oErRKhh0/SCUzFPSdb2xmlGi1F7PS5TaY82aIv3dxg2NPp//iYkL/8WD15bDS80u933I7+8DUzsBcTmAx3/G0yvHYPr66bi53M3miyO3afeIEdg15E2TvUiHDij6RGdXh0qUusKkTCLgk4BEqQaHawKxIEoJ49DMmdj8RBfDpdBDD+G8Xk+7ZhTMjJH4MJEkR/9/x3rP8815UQEkONPq8/23WHMwmYSqLInSUJFNXa5EqT3WrEmi1B5viVJ7rM3v6kOHzML92bJls1txJqzt9V9fx4QVE0zL+1/XH80uahbQWaRXlLKSFbtXmGn4mw5tQqUilYwgKJ2ndED1x1pmiVJ7PS5Rao81a4rEd5tACHy3cgfavfcrCuTKjh961kf+hOzeD9+77tyU+5NHgVvfxCd5c6H/L/1RKk8pTL9jOrJmyeqq2p2vDcSeceNM3vP6PINCDzzg6jhmkih1jUoZRcArAYlSDQzXBGJFlBLI/smTse3Z5wybok88gSIdHnfNKVgZI+Vh4uzx00h0dqtfkTxyNDPLUc9+kigN1qj1X45EqX9GwcwhURpMmmmXJVFqjzVrkih1x/vt397GqOWjTObnr30ed1W8y92BHrkyIkpZzF97/jKy9N+D/+LywpcbWVomb5mA2xErB0iU2utpiVJ7rFlTpLzbpOesj586g7venY9lmw/gtRZV0LJmGvewiXcBa2YCle/E3zc8jRbTWpgqx988Hlecd4Xf6s+eOIltL/TFgSmfm7wlBw1E/ttu83ucZwaJ0oBwKbMIpCIgUapB4ZpALIlSQtkzdhx2/h975wEdVbWF4T+9994TCIQOoYTeOygKChYQRFEsFFHhgYpgA2kKCtIUVECliApY6L33DikQkpDee89b+9zMZCZ16s1McvZaWUlmTv3PZHLvN7ssXcr0cf/oQzhMmKCwVppoWJ8XEwIcTZECUtn9NBQ4KrsnDko18YpVbAwOShXTSVOtOCjVlJJ1j8NBad0aabIFB6V1q7nu+jqsubaGNZwbMhfjWwpFRJQ1dUEpzXcv9R7mnJiDhxkP0dKpJQvD97P1U3YpjaI9B6XiHTMHpeJpTTPV572NujtdfzwCi/+9h97NnLHl1a41D3d6JXBwAWDjwULuRx+cgvD0cMzsOBNT2k6pcxnFSUmIX7gQWYePwMjWFl5frYBVr1519qvcgINSpSXjHbgCcgpwUMpfEAor0NhAKQmTtGoVkteuYxp5Ll0Cu1GjFNZL3YZiX0zUDUedWGi9kZ6F1StyDhyUKqKSZtpwUKoZHRUdhYNSRZVSvx0HpeprqMwIHJTWrtYPt37AystCXrt3O72LyW0mKyOvXFtNgFIaMDQtlMHSiPQItHBswWCpv52/yutqqB05KBXvZDkoFU9rmknsextN7e5uXCZGrDqJMgB7p/VCW2+76oeOuQh8X14kb9wWLEi/jN1hu9HXuy9WD1xd53IKwsMRv2Ahci9fhqmPD6tsb96mTZ39qmvAQalKsvFOXAGpAhyU8heDwgo0RlBK4sR/9jnStm1jOvmsXQvr/v0U1kydhmJcTDRmOCp7NhyUqvNKVa4vB6XK6aVuaw5K1VVQ8f4clCqulSZaclBas4pb7mzB0otCRMz04Ol4vd3rakmuKVBKiyDPKoKlYWlhaO7QnIXhN7Frotb6GlpnDkrFO1EOSsXTmmYS495GGzua+ds1/HXtMd7q1xRzhrWoeYqNA4DHl4GuU/FXs5746PRHcDR3xN9j/oa1iXWtS8u9dBlxH3+MwgcPYNG2LbxWfg0TLy+Vt8NBqcrS8Y5cAaYAB6X8haCwAo0VlJJAsbPnIGPvXhhaWsJn4wZYdqo7v4zCwtbQUFsXExyOVhWcg1J1X62K9+egVHGtNNGSg1JNqKjYGByUKqaTplpxUFq9ktvvb2dFQ8imtpuKacHT1JZck6CUFvMg4wHmHJ+D+2n3EWgfiOV9l6OpfVO119lQBuCgVLyT5KBUPK1pJm3d22hzF/tuxGLaL1fh5WCBE7P7w8jQoPrpDs4HTn8DuLVB1IRfMXL3SNbuu0HfobdX71qXmHX4MOI++BAlGRmw7t2bQVJDKyu1tsVBqVry6V3nv/76C6tXr4aXlxd+/PFH6fpffPFFPPfcc3jqqdqLOEZHR+Prr7/GsmXLYGRkpHf718aCOSjVhqoNdMzGDErpSKPfeBPZx47BxMMDPhvWw6xZM62etCYvJjgcrf2oOCjV6ktZbnAOSsXTmmbioFQ8vTkoFU9rmomD0qp6/xH2Bz4+8zF7gkLtKeReE6ZpUEprisyMZLD0bupdBkkpDL+Zg3avqzShhRhjcFAqhsrCHByUiqc1zaTJexsxVp6ZV4SnvzuNB0k5WP1iMJ5o51n9tKH7gV/GCc9N/gcv3FqNW8m38Fq71zAjeEatS03fvZtBUjJK8Uap3jRhHJRqQkXNjlFUUILQiwnITS+Apa0pAju7wczSWCOTEChdu3YtSkpK8OGHH6JfPyECVlFQeufOHcycORP//PMPTExMNLImfR+Eg1J9P0ER19/YQWlpdjaip77B8saYBQXBd/16GLu7ae0E1L2Y4HBU8aPhoFRxrdRtyUGpugoq15+DUuX0Uqc1B6XqqKd8Xw5K5TXb92Af5p2cxx6kok1UvElTpg1QSmuLyopisPR2ym0E2AUwz1IKx2/sxkGpeK8ADkrF05pmUvfeRtzVAisPhWHloVAMa+OOdRNqiCYszAbW9gTSIoH+H2CxRSl+ufsLQtxD8MPQH2pdsmzhYMdJE+E2T3gP14RxUKoJFTU3RnFhKXYsuoi0+BzpoLbOFhg3rzPMrNQHkwRKt2/fjs6dO+P8+fP47bffYGBgIAdKy8rK2OO7du0CcZ2BAwey593d3dn3pKQkuLi4sH6zZ89GUFAQVq5ciVOnTsHS0hKjRo3Cs88+CwsLC1y4cIF5n9K1GFm7du0YoLWzs2NjL1++HGfPnmXg1tfXF/PmzUNAQABiY2OxePFihIWFscfHjBmDYcOGaU5oDY7EQakGxWzoQzV2UErnWxQbyzxLC0JDYdmlC3zWr2Ph+NowVS4mOBxV7SQ4KFVNN1V6cVCqimqq9+GgVHXtlO3JQamyiqnXnoPSCv0ORB7Ae8ffYw+Maz4O87vPV0/cSr21BUppmpisGJaz9GbyTfjb+rOcpVToqTEbB6XinT4HpeJpTTOpcm8j7gorZrsalY7R351mDxx5rx+auNQQCv/nW8C1bUBAX+zv+zbeP/4+LIwtsG/0Prhauta4/KSvVyJ5/Xr2vMvMGXB+802NbLUwrxhn/4xAbFgaDAwN4NPSCT2fCdTI2HyQCgUu/xuJkhIq76WYJUdn4eH15CqN/do4wdXfVrFByluFPBFQpb0ElK5Zswbjxo3De++9xwCkrEfpvn37WHj+9OnT4e/vjw0bNsDW1hafffYZfv/9d6xbtw6ffPIJjI2NGSSlUHwCmtSejMDopEmTGDC9efMmwsPD0aJFCxCUJ/jZrVs3Nu/GjRvx559/4osvvmBh/EeOHEH37t3RsWNHlgaAxh4/fjwiIyMZiN28eTO8vb2V0kCMxhyUiqFyA5mDg1LhIPPv3UfMm2+iKC4ONgMHwntN3VUMVXkJKHoxweGoKurK9+GgVH0NFR2Bg1JFldJMOw5KNaOjIqNwUKqISpprw0GpoOWx6GOYcWQGylCGpwOfxmc9P9OcyOUjaROU0hSx2bEMll5Pug5fW18s77McLZ1aanwf+jIgB6XinRQHpeJpTTMpem8j7qqqn+3Vny7h8N0EzB4ahLf71wAar/0C/PkmYGiMxMl7MeL4DBSUFDDv+KH+Q2vcRvzChUj7bTt73n3BAji88LzGtvzP2htVgFzrXp7oN6FxfwClMYHLByJQeu6vB5oets7xOg33R7enqhZAlIDSX375hYXgHzp0iHmYTpw4UZqj9OWXX2Y5TAlSklG4/ffffw8CqKGhoXKh9wQ/CYgSGCXASbZ7927mdbpq1Sr2O/18+fJlJCQk4NixY7CysmIg9ttvv8Xhw4fx5ZdfMihKHqpk586dw/z58xlAtbYWipvRz8OHD8eECRPq3LvYDTgoFVtxPZ6Pg9KKw8u9eBHRb74FCse3Gz0anosXafxka7uYKCssQd7tFOTdSkHebflPp8wC7WHR2gkWrZ1hZGuq8XU1xAE5KBXvVDkoFU9rmomDUvH05qBUPK1pJg5KgdOxpzHzyEx2Yz4iYASW9NFMbrvKJ6ltUErzxefEY/aJ2biWeA0+Nj7Ms7S1U2txX1Q6MhsHpeIdBAel4mlNM+kLKN11OQbv77yOIHcb7H+nT/UipT8SQu4LsoCRKzA55TQuJVyqNfUJFWuKX7AQmf/9BwNjY3guXwZbDYYdlxSVYt30Y1XWa2FjileW9RL3sBv4bARKS5XwKE2qxaPUTUmP0i61eJQSKM3OzmYh8m+88QZ27NghBaUjR45k+Uft7e3lTofC5BMTE+VA6cOHD/H666+zUHxT0wqe4OjoiK+++orlMiWPU/IEDQwMREREBMzMzBikpfD6BQsWMI9R8igdPHgw3nzzTdZn/fr1DNbKWq9evTBlyhSde8VwUKrAkRw4cADBwcHshdKYjYNS+dOnCoUxbwvVZDWZV6YoIRe5VxORl5wFC2cbWAa7wsTNElI4SoCU4KiMtz+Do60IjjrByM6sMb9MVdo7B6UqyaZSJw5KVZJN5U4clKosndIdOShVWjK1OjR2UHox/iJmHJ2B7MJsDPIbhK/7fa2WnrV1FgOU0vyJuYkMll5JuAIvay8GS9s6t9XavnR1YA5KxTsZDkrF01pfQGliVgGe+OYk6PvmyV3QP6iG8PlfngNC/wPajMHXAe2w6dYmtHNph20jtlUramFUFOI+/hi5587D2NkZnsuXw6pbV40eAIXdb5x1osqYJuZGeH1lX43OxQdTToHiolLs+EL7OUoJlJJR5XvyACUwSl6lVPWewvCHDh3KvEQr2927dzFjxgzmXUrAk/4PEWyl0PjWrat+aDl27FhWMOrtt99mQ5FnKnmXEiiVGAFTymVKIf0EQp2cnLBkyRI2B4X367pxUArg4MGDWLp0aZWzkrxQKL/DRx99BKLdjdk4KK16+hl//InY8sTbLtOmwXma8GahqpWkFyB+5WWU5ZdIhzAwMYRZE3vkh6bKw9GmEs9RDkdV1VvSj4NSdRVUvD8HpYprpYmWHJRqQkXFxuCgVDGdNNWqMYNSClGncPvU/FT08e6DbwZ8AyMDI01JW2UcsUApTZycl8xg6aX4S/C09sSyPssYfGhMxkGpeKfNQal4WtNM+uBR+sXfd7Hx5AM828kby8e2r16gM98CBz4CrF1x/OkVmHb6QxjAAHtG72G5litb3o2biPvgAxSEh8OsaVN4fbWCFQbWpGWl5uPEb6GIvFE1D6Z3kAOemhWsyen4WCooUKXqfRc3mFloBhjKht7T0ih0nkAn/f+eNm0aA6Xkzblnzx6WT7RNmzaIiYnBzp07WV5RSag95Stt3749qPDTzJkzQde2FB7v6uoKgqkEQymEn74ozyn1jYqKwqJFi1i+UwKlW7ZsQatWrdChQwfm3frSSy8x79aePXsy79Y+ffrgnXfeYQpS4amioiIMGTJEBUW124WDUgDkMUouxES7Zc3Pz4/lVOCgVFCFg9Lq/xhTf/4ZCYsWsyfdPpgHx4kTVf6rzT4Ti/Q9ETX2N+NwVGVta+vIQalWZK12UA5KxdOaZuKgVDy9OSgVT2uaqbGC0rspd5knKYWqd/foziCpubG5VsUXE5TSRggAzz4+GxfiL8Ddyp15lnZw6aDVPerS4ByUincaHJSKpzXNpOug9GxECl7YeA4mRoY49b/+cLOt5r318RVgY38mXOaYdRhxZw0yCjLwac9PMTpwdBVBs0+eROyc/6EkLQ2WnToxSGrs5qZR4W+fjMXJ7aEoKS6FtYMZCvNLQN6lZPaulhj4cku4N7HT6Jx8MN1SoDIopdVRhfsffvhBCkrpfzkxL8ofKjEfHx9s2rSJ/Uq5RQmkklFRp6ZNm7LvVNBJYk888QQDqKdOnWLAlcak8Hp3d3dYWlriu+++Y96llB+VjJ7r1KkTPv30U/bzlStXGHjNzMyUPk+wlcLzdc04KC0HpZSU9u+//672fGRBaUpKCj788EN07doVkydP1rXz1Op6OCitWd7k1WuQtFoo6uT55WLYPf20SmeReSgKmYceVelrHuQIhzGBPKxeJVXr7sRBad0aaaoFB6WaUlKxcTgoVUwnTbTioFQTKio+RmMEpeHp4cyTNDorGp3cOjFIamuqXLVcxRWuaCk2KKWZ0wvSGSw9F3cObpZuDJYGuzYOjygOSlV5larWh4NS1XRTtZeug9LnNpzD+QcpWDiqNV7uUdUzlO37+0FAzEUg5DW8aZqDU49PYUyzMfikxydVZMnYtw+x789mj1sPGADvlV/DQCbfo6o6SvrlZBQwL9IHV5PYQy26eaD9IB84e1sjLjIVhoYGcPN1UHca3r+BKVBSUoLk5GTmAWphYSG3O/Ispf/5dnYVYJ0YEP1fotB52ZB5GofC6z08PKqE0tM1MXEzZ2dnBkgrG41HnqQ0pqTYk67JzEFpOShdtmwZunTpwpLVdu7cmXmRSl4IElDatm1bltSWEtBSqL4+5FbQ5AuOg9La1UxYvBipP/3MGnmvWQObgQOUlj/3SgJSd4RW6ec4tjksO2n200elF9eAO3BQKt7hclAqntY0Ewel4unNQal4WtNMjQ2URmVGMU/SiPQIlreTIKmzhbMootcHKKWNZRZmMlh6JvYMXCxcGCwlQNzQjYNS8U6Yg1LxtKaZdBmUbj33CB/9eQsd/Ryw+80e1QtzaCFw6mvAtSXW9piI766vRTOHZtg9aneV9mlbtyH+88/Z4/bPjIHHF19oVOy7Z+KYFymFc9u5WKDDIF+06VtRJIeAFwEoc3PtRhxodFN8MK6ADinAQSmAmzdv4r///mPknKj46dOn0bdvX5aXlIxA6axZs/Drr7+yNitWrJBCUsq70FiMAAflq6juU4HGokFd+0xd+Aly9u2DgYUFXFathFnHjnV1qfJ89s9hKI6qeF0Z+1rDemIzpcfhHRRXgD4Ro4sJQ0NDxTvxliopQO8hpHdj+6BJJbE00Im/tjUgooJD8Ne2gkJpqBmBaboe0VVPBA1tkw2TkJuAOWfnIDQ9FM3smmFpj6Vwt3TX5BS1jlWf13/ZRdn4+MLHOBt/Fo7mjvg85HMEuzRsz9LG9NoW7UVcw0T1+dqu773Xx/zkQUbFZXTNYtLyMWbjJeQWluCniR3QybdqmLrRwyOw+P0ltvQTw77A2/fXs59/HPgjguzl841mbtyIjPUb2PM2E1+C/YwZGttyfk4xzu+OROT1VDZmk45OaNXHHU7eVnJzNMbrP2tra43pzAfiCnBQWs1rYNeuXSzZ7b///stu5gmUktEbzsaNG1niWonRG35jMfIoICOvW241KxA3cyZyjhxl+Wc8vlsDs+bNlZarMDwDuclZsHS2gWkgzymjtIBKdiCPAoKkunjxpuRWdL453ZTQp9xWVvIXdDq/cD1dIEUC0P8xDqa1f4B0jUD/JyuHMWl/5sY5A72P0PVIQ//wlvJ1zjoxCzeTbyLANgBf9f0KfjZ+oh46gTv6qi/PpNziXMw9NRenYk/BwdwBS3ouQWe3zqJqIOZkFAlAud4aw4cAYupa3Vx0H0fXJVTlmZv2FSAHI12EWR/9dQfbL8XgpW6++Hhki6pCFOXBeGMfGKQ9RH6v9/BE2gn2AdbsTrPxQtALcu2Tv1yC9G1C5XunWbPg8IrmUvWFXUzEmV0RKMgtho2jOdoO8EKbvp7VHlxjvG/n93Ha/xtuTDNwUFrNaZ84cQJU8Wvv3r3sopBAaY8ePRAfH4+EhASWoNbBofHl++Ch94q9NZTm5SF66lTkXrjIIKnP+nUw8fBQrLNMK10OT1F6MzregYfei3dAPPRePK1pJh56L57ePPRePK1ppsYQep9VmMVykl5KuARvG2980/8bFuYpttVX6L3sPvOL8zH7xGwciz4GezN7LO+7HF09uoothSjz8dB7UWRmk/DQe/G0ppl08d7m6P1ETN58EQ6Wpjj5v/6wNqumCvme6cCVnwH/Xpjl3xyHHh3C8IDhWNpnqVRAuv+LX7AAGXv2ssc8Pv8c9s8+oxGBCYxSLtLQC/FsvMDOrugw0BduATXnqOah9xqRng/SiBXgoBTA1q1bERQUhDZt2rBEtfPmzWPeN+Q9SibJUdqxY0dMnTqVPUYep/Rpb2MyDkoVP+3ihEQGS/Pv3WMVDgmWGioZDqCLFxOKK6BfLTkoFe+8OCgVT2uaiYNS8fTmoFQ8rWmmhg5KC0oKGCSl/Jyulq4sJ2lrp9biilw+my6AUlpKYUkhg6VHoo7AzswOy/osQ3fP7vWiiTYn5aBUm+rKj81BqXha00y6dm9TUlqGp1afxq3YDCwb2x5jO3lXFeT6b8AfUwEDA2weOhdf3d/GPrjaN3ofjAyEIjVF8fGI++BD5Jw5A0NLS3guWwqbgQM1Im7YpQSc3B6GvKxCWNmbsVykHQb51Dk2B6V1SsQbcAVqVYCDUoDlHKUcpRJzd3fHokWL4OMjvAkRKJ0/fz569uzJ3uCnTJkCV1dXrFmzplHlNOSgVLl3k4LwcERPfQNFjx/Dun9/+Kz9TqkBdO1iQqnF61FjSraeffUqDIyNYN21K+zHjNGj1evfUjkoFffMOCgVT28OSsXTuqGDUsp3O/3odByPPg4HMwesGrCqXiu+6wooZUCitAhzjs/BoahDsDG1YZ6lPTxrKLwi7ktSY7NxUKoxKesciIPSOiXSaANdu7fZcOIBFv1zF32au+DnV0Kq7jUjGljbE8jPwPX+72FC5E7WZvOwzdL0H+QUE/u/uSi4fx8mnp4MkpKTjLpGRZrIi/Te2Tg2VNNgF7Qf5AuPpoqlZOOgVN0T4P0buwIclJa/AggCJiUlsbwpjTGsXpE/BA5KFVFJvk3elSuIfuNNlGRmwu6pp+C55EuFB9G1iwmFF65HDePmz0f6zl1yK3Z++224TJ+mR7vQr6VyUCrueXFQKp7eHJSKp3VDB6XvHnsXBx8dhJWJFVb1X1XvIea6BErp7EvKShgsPfDoAKxNrLGs7zL08uol7gtQi7NxUKpFcSsNzUGpeFrTTLp0bxOakIUhX59gAvw9ozdae1YTxv7bi8C9v4FWT+EJk1Q8ynyEGR1n4LW2r7F+uefP4/F776M4ORnmLVvCc8VymDVporaoEVeTWEX7nPQCWNiYIniwD9oP9IWhkYHCY3NQqrBUvCFXoFoFOCjlLwyFFeCgVGGp5BpmHz/OYCnKyuD40gS4ffihQgPp0sWEQgvWo0bFiUkoiHyIqEkvs3ORNVMfbzQ9eFCPdqNfS+WgVNzz4qBUPL05KBVP64YMSueenIu/H/wNE0MT5kna26u3uMJWM5uugVJaYhnKMPv4bOyP3A9LY0sGS/t496l3rTSxAA5KNaGiYmNwUKqYTppqpUv3NtN/vYq912Pxdv9AzB4qX7We7ffsGmD/B4CVM+Z1ehL7og+jv09/lgaF/Q86cAAxM2ayn626d4fXiuUwcnRUS6qS4lLmRXrnVCwbJ6C9MwOkXs3tlR6Xg1KlJeMduAJyCnBQyl8QCivAQanCUlVpmLF3L2Jnz2GPO7/1FlxmTK9zMF26mKhzsbrWoKwMhVHRKIqOYt8Lo6Lkfi4rKKhxxQZmZmhx/Zqu7ajBrIeDUnGPkoNS8fTmoFQ8rdlNalYWLCwsWE75hmLzT8/Hn+F/su2QJ+kA3wE6sTVdBKUSYeacmIN/H/4LC2MLBkv7evfVCc3UWQQHpeqop1xfDkqV00vd1rpyb/PfrXi8sfUyvB0scPJ/A1DFTzPuGrBeeC/5te8bWBT1D5wtnLHn6T0s5Uf6jp2I+/hj9rztsGHw+vorlsNUHXt4I5l5kWal5MPMwhjBQ3xZqL2xiaFKw3JQqpJsvJMKCtD1L31REfSGZByUNqTT1PJGl2SFAAAgAElEQVReOChVT+C0bb8g/rPP2CBuc/8Hx5dfrnVAXbmYUG/X2utdmpsrB0OLoqJQWA5Gi2JiapzYwNgYpv7+MPXzY0nXqUplZaNE7HRG9uPGaW8DjXRkDkrFPXgOSsXTm4NS8bSmmRoaKP3s3GfYcX8HE5GA3zD/YeIKWstsugxKadkSL1wzIzOmHXl96bNxUCre6XFQKp7WNJMu3NvkFpZgxKqTiEzJwdrxHTG8rUdVETYNBaLO4X6HsXg24zx7fs3ANcxrPWXjRiSu+Io95vD883BfuEAtESmw7cRv93Hr+GM2jl8bJ1awybuFg1rjxoTeg4GhIbwCm6s1Du+sHwr89ddfWL16tXSx9EFyjx49MHnyZLi5uWl1E99++y1OnTqF7du3a3UesQfnoFRsxfV4Pg5K1T+85HXrkLRyFRvIY9EXtRYO0oWLCfV3rN4IxSkpKIou9wgt9wxlMDTyEUrS0mocnECnBIYSEBW+fGHi5wdjJydpv7StWxH/+Rdy45j4+DLvUzLTgAAGTK376r+HinonobneHJRqTktFRuKgVBGVNNOGg1LN6KjoKA0JlC65sARb725lW/+i1xcY1XSUojKI0k7XQSmJ8MGpD7A3Yi9LWUAFnnTFG1eVA+KgVBXVVOvDQalquqnaSxfubb46GIpvDodheBsPrJ3QsepWDn8KnFwBuAThWR8f3E8LZTlJKTdp4rLlSPnhB9bH+Y034PKOEHqvqj26lYJTO8KQnpgLY1MjdBzqiw4DfWFibqTqkAi/eBYH1n+LvKxMNoadixuGTXsX3i1aqzwm76gZBYry83H31DFkp6XCyt4eLXr0gZmVtUYGJ1C6YcMGbNy4EXTt//DhQ/z000/sZ3rMxcVFI/NUN0hCQgL78DowMFBrc9THwByU1ofqejonB6WaObjEpcuQsmkTG8z7229hM3hQtQPrwsWEZnZc+yjk/VlYGYY+eoTCR49QW4i8kb19NTBUgKKGNor/09nx11kkXLoGAyMj+PTuiqcGtkf69h1IXrsWRfHxbPFW3brBde7/YN6ihRiSNOg5OCgV93g5KBVPbw5KxdOaZmoooPTry19j0y3hmmBB9wV4tvmz4gqpwGz6AEppGx+d/gh/hf8FY0Nj5lk6yLf66ysFtlyvTTgoFU9+DkrF05pmqu97m5sxGXhy9Sm26eOz+8HPyUpegIgjwJbR7LFPuj+PXfFn0M2jGzYMXIe4Dz9Cxp9CahS3eXPhOGmSWuKd3BGGG0ei2Rg+rRwZIPVtrV6OUxpr86w3kBorH1nn06otxi1YrNZ6eWf1FCguLMCWue8g9bFw5mR2ru6YsPhrmFvbqDc4AAko/fvvv6VjZWdn4/XXX4ePjw+WLFnCHr9w4QJWrVqFlJQUdOzYES+88ALatm3LnouNjcXixYsRFhYGX19fjBkzBsOGCdEtL730EkJCQpjnaGpqKjp16oSPP/4YlpaW2LdvH65cucJ+p74LFizA4MGD2ZrInn/+efalb8ZBqb6dWD2ul4NSzYkf99F8pO/aBUNzc/isXwfLrl2rDF7fFxOa2i3BTsoRSjCUhceTZ+ijSOYVWvRYCDOpyYxdXWDqH1DuEeoHU3+Jd6gfDExN1V7ivN038esFwXtUYrMGNcfMQc1QVlKClHXrQV7AZUVFwj+0p56C2//mqJ2sXe2F6/EAHJSKe3gclIqnd9TdFORk5sLd1xEOHpVuvsRbRqOZqSGA0tVXV2P9jfXszOZ1nYcXW7yok+enL6CUxPv49Mf4I/wPGBoYMs/SwX6DdVLT2hbFQal4R8ZBqXha00z1fW8zefNFHL2fiDnDWuCtfk3lN19cAKzrCSSH4Y9Oz+Lj1AuwMrHCH31+QtEny5Fz8hTLQ+r55WJ2P6CqRd9NZV6kqXE5rIp9x2F+DJKaWaqfb7sgNwerJz9XZWmmFhaY/uNOVZfM+1WjwPk/tqO0pERhbRIfRiD8kpDGQdYCgjvDvaly6RF6jK16rVAdKKV5fvnlF2zbtg0EUKOiovDqq6/iueeeQ58+fbB//34cPHiQAc2SkhL2eFBQEMaPH4/IyEisXLkSmzdvhre3NwOfrq6umDhxIpKSkrB161ZMnToVo0ePZp6rBFDJc/XGjRt477330KJFC4wdO5bNSc/v2rULdnZ2CuulCw05KNWFU9CTNXBQqtmDipk5E1n7D8DY1ZXBUvOWLeUmqO+LCWV2W5KeXl4wSQiTJ29QAqH0vbYQeZrDxMuLhbjLQlBJuLwya1C2bUlpGZp9+A9K5Yvew9fREifmVOQ3K05KYt6lab/8Kp3CaerrcH3nHbUTtyu75obQnoNScU+Rg1Lt652ZnIe9315HekKudLIOg3zQ89lm2p+8Ec+g76B0w40N+Pbqt+wE3+/8Pia1Vs87SZsvBX0CpaTDwjML8XvY7zCAAfMsHeo/VJvyaHxsDko1LmmNA3JQKp7WNFN93tv8cfUxZm2/hhbuNvjvnT5VN753JnD5RzzyC8Eoo0SUlpViZZPZaPLVn8i/exdGDvbwXLIE1n2q6augjKd/D8e1g4KDhneQA9oP8oF/W2cFe9fdrKSoCCsnCB6xsmZpZ483NwjpXbhpRgECpad+26KZwZQYpevocej1/MQqPWoCpSdOnMBnn32GP/74Az/++COOHj3KfiejSCiCmt988w3o/878+fPxxRdfwNpaiMykn4cPH44JEyYwUEpeqeSFSvb555+DPFa//PLLakHpgQMHYFBe4GzkyJFsngEDdKNApaJyc1CqqFK8HTgo1eyLgLwUo1+fipyzZ2EWGMhgKUFDidXnxUR1Oy2Ki0MReYNSjlApCBU8Q8sKC2sWx8BACJH394dZgD/LEyoBoSYe1SRQ16zMNY6WlluI4E8PVnne1NgQV+YPhrWZ/Ce7dJGUvHYdsg4cYH3Io5Xylzq8qJseQCLJqPQ0HJQqLZlaHTgoVUs+hTrLhs/Jdhj/aTfYu1oqNAZvpLwC+gxKf7z9I1ZcWsE2PSN4Bl5r95ryAojYQ99AKUnz6dlPsTNU8KBa1mcZhgXoTnGsuo6Og9K6FNLc8xyUak5LRUaqr3ub1JxCDPn6BJKzC/DzKyHo07xSvsabO4Hfp7AtTAgeiOvpYZhhPAT91l9CcWIiu4fxXLoEFu3aKbLNKm0eh6bj1M5QJEdns+c6DfNjFe0trE1UGq+2TntWfIGwC2flmrQfPAKDpryl8bka84AESkuKlfAojXyAiEvnqkjWhDxKlSy41f1ZxT1Kf/31V9DXnj17MHfuXFy7dg3u7u5y65gyZQri4+Oxfv16eMmwCGrUq1cv0POVQSmNScWb/vzzzzpB6TPPPINXXnkFBEz1yTgo1afTque1clCq+QOgYkUES/Nv34ZFcDCDpUa2tmwisS8myoqLZULjyRtUgKAEResKkSdoKHiFCjCUQKgEiMoWT9K8gqqNSOH2y/bfB1041WSv9AzAtAGBcLSSD/HPPnmSAdO8K1dYV1MfH5a/1GbgQNUW08h6cVAq7oFzUKp9vXcuvojER1lVJnJwt4Krnw3sXC1h72oh/W5qoX54nfZ3pfsz6Cso3XZ3G7688CUT+I32b+DtDm/rvNj6CEpJ1M/PfY7t94UqvEv6LMGIgBE6rzUtkINS8Y6Jg1LxtK6PexvJ7j7ddwebTj3E2E7eWDa2vfymM2OBtT2BvFQs6fgEtqbdwLNJ/nhu80OWhsuiQ3t4LlvGrvdVsbN/RODK/kesq0egPYIH+yCgvfYK6xQVFODUrz8h5t5tVvXer20H9H5BdyMWVNFUH/sUFxZi69yZSJHJUWrv5o7xi1bCvNyDU519VedRmpubyyBn06ZNmRfp8uXL8ejRI1CV+spGnqbkMUr5Ro2Nq16nVgal5H36+PFjbNq0iYNSdQ6O920YCnBQqp1zLHz4ENFT32Ah61RdnWCpti4mSrKyBBhaXixJAkILIyNB4fO1maG1tQBBKWco8xCt8Aw1tFE/CbV21JUf9a9rsVi+/z6i04QQWXc7c8Rn5Ms1au1ph9uxGdLHJnTzY8DU3dZcrl3GH3+y/KWkJZll587Mw9S8TRsxtqK3c3BQKu7RcVCqHb2TorIQeiEe988nIC+rFo/6aqa3tDWFHYFTF3mASkDVxEz1Srfa2anujqqPoJQ8HMnTkeyVNq9gVqdZuiuwzMr0FZTSFhadX4Rf7wmpc77s/SVGNtF9jxYOSsX7s+CgVDyttXVvU9cOLkamYuy6s6CIsTNzB8DZ2ky+y/YJwN29+K95b8wueoR+t4C39hazNnRf5rV8GVS5z4mLyMCpnWFIjBSqzwcPESraW9qpX2Ohrj3T83l5eSz02dxc/v5Fkb68jXYUIIh9j1W9T4GVvQOCqOq9pWZy2stWvaeQeMoxumXLFhAs/eGHH2Bvb4/Lly8zr9Lp06djxIgR7EM5CpHv3Lkzyz8qyV36DqWXA3D+/HkUFRVhyJAhzKOUoOuTTz4JCuen/KWTJk1ixaCqy1EqG3rPPUq183rio+qIArFxO5GScg5lZaVwdOgIb++XdGRlDWMZeTduMM9SgpW2Tz4J9w8/QOrDh3AMCABVd1fGKERENkeorGdorSHyACtSJPUKlQBRP1/mIWpgVunCQplF1XPbQ3cSsOzAfdyPF7y+ApytMHtoEEa09UBEUjauRSbD2MgQIU1d4WFnzkDpt4fD8d9toeo92bjOPgyYUg5TWUv5/nvmYVqak8Meth05Eq7vvQsTT8963rVuTs9BqbjnwkGp5vSmXKShFxIYIE2Lr8hHauNojqxU+Q9cnLysMWhyK2Qk5iI9MRcZCXnse3piXq1g1creTOp9audiwUL3CarSdyMTQ81tpgGMpG+glKqxU1V2spdavYQ5XebozSnoMyglkcmDlzx5yRb1WoQnmz6p09pzUCre8XBQKp7WNJPY0XI0J0FSgqWfPtUaE7v7y2/4/Drg3/8hwdoRozxc0P9sDiYdKmVt7J4axXKSqmLn9zzApX8iWVc3f1sGSZt2dFVlKJX7cFCqsnR62ZFA6erVq9najYyMYGVlxarUT548mUFQiVFRpe+//54VbyKztbXFihUr4O/vzyrXU17SzEwB7tM4lFuUICl9mZqagq4HyPr27cugK3mfyoLSmzdv4t1332UAVpKjlEApFZEiOKtPxkPv9em06mmtEQ++QmTkGrnZvbxeQIugz+tpRQ1z2pxTp5hnKYV5yJrD88/DfeGCiodKS4WCSSwsviI8nrxCi2Jj6xTH2M0NZhQmz7xDyz1EKW+ov1+dffWtwZmIFCzbfw9XowRvWVcbM1bp8tlO3nJboYsJQ0NDmFWCwWGJ2fj2SBj2XKvQ9ekOXgyYBroKia7JSlJTkbxhI1J//FH6mNOrr8B52jQYWljom2xaXS8HpVqVt8rgHJSqp3dhXrEUjpJ3iMQIaDYPcUdQVzcQFI24koiIq4nIyymEi7cdOgz0qdFrhMYkYCqFqIkCRM1IzEN+TlGNC7Z2NK8I4XepCOUnT1SqnNvYTJ9A6b8P/8WcEwIYfS7oOXzUTQCm+mL6DkpJ56UXl2LLHaHwxue9PsdTTVWvWq3tc+OgVNsKV4zPQal4WtNMYoPSLeceYf6ft9DJzwG/v9lDfrPxN4F1vdhjU9r1RdO9EXj6rABJHSdOhNsH85QWJyEyE6d3hkFyvdB+oA+ouKO1g/henRyUKn18jaZDWVkZkpOTGfisrhI9/Q8iT1InJycp7JSE3jdp0oR5KTcGT2UOShvNn4TqGz19pjfy8+UBnIGBCQb0v0slbVQfmPesokDi0mVI2bSpyuOWISEoKygQqsjXESJPnSmPjgBCZYGoP+qzeJKYx30tOp2F2J8KT2bTUmGm2cOCMKnyJ8nli6oJlErWHJWai2+PhGPnpWjpNoa39cD0AYFo5SHklCUrCA9H8rr1yNy3T3jA0JCF49MFFzdBAQ5KxX0lcFCqmt5hl8hzNAGRN4T3EDLy6AwKcUfzEDd4BTlUGZiqh9J7iY0aqUgIlBIwFcCp4IGaniBA1MJ8IRSwOrN1JnAq74Eq+V01BXS/l76A0kOPDmHWMSHEfnSz0fi0hxB6r0/WEEAp6b3s4jL8fOdnJv1nPT/D04FP6+QxcFAq3rFwUCqe1jSTmKA0Nj0PA1YcR35RCYOkBEvlbPNw4NEZrGrVGya7HqL/DQGSusyYDue3lC98dPHvSFzY+4CN4exjg45DfdGss5u4AsvMxkFpvUnfICeunKO0QW6y0qY4KG0Mp6zmHo8db4uSkoowQ8lwAf5vw8GxJxzsu6o5A+8uUSD5u7VI+uabugUh78fy4kmVgaguFk+qe0OaaRGWkM1C7A+Uh8wbGABzhrbAm/2a1jpBXaBU0jkhM58B063nhLykZANbujFg2sGnIkVC7vkLSF63FjlnheqGBKip4JPt0KGa2agej8JBqbiHx0Gp4npH30llcJQgaUmxcMNE1qSDC4OjdYXNaQKU1rba3MxCKTyVQFSJV2pxYcV6K49RAVDlc6ISXNVn0wdQeiLmBGYenYni0mI80eQJLO69WO8kP3Q3ASfuJyK3oAhtfRwxqUel0FU929GKSyvw420h+uOTHp9gTLMxOrcDDkrFOxIOSsXTmmYSE5TO2XUDOy5F4+Ue/lg4qrX8Ro98AZxYiuMOTRBzoAAdI8rY8+7z58NhfNWK4rWplBSdhdM7w/E4NI01a9ffG+RJWl//Y8sKS5DxXyTyH6YDhgawaOYIu2H6/b4t7quUz1adAlTdvlevXnB2dm40AnFQ2miOWvWNXrg4CllZt6sdwMDAEHZ2nWFv1wn29p1hb98VRkb6ffOlulLq90z54QckLlteZSCr7t1hN/ppVlnezN9fpaTi6q9Od0d4nJ7Hqtj/efWxdJEUHv/+kCCFFq0oKJUMlpJTiO+OhuOHUw+l4/du5sKAaUiAo/SxzH/+YflLC8LC2GMWHTrAdfb7sOzUSaF1NcRGHJSKe6oclNauN1Wrp5yjYRcTQCBSYp7N7BkcpfB6RQssaRuU1raTnPQCafg+y4WaIAntz0NpSfUQ1cDQoCKUXyYXKoFVyruq66broPRc3DnMPDITucW5GOI3BCv6rdB1Saus77eL0Zj7+w25x4e38cDaCR31bi+yC/768tfYdEuI3lnYYyGeafaMTu2Hg1LxjoODUvG0ppnEAqUnw5Lx0g/n4WhlitP/GwALU5lCiQ+OAT8/hdRcE1y45A6/2BKUmhrD58slsFUyh+Ll/x7h/F8RKCsDHD2t0HGoH4K6uosraqXZUrbcQd7tFLlHrbp6wGF0YL2ui0/OFdA3BTgo1bcTq4f1JiTsw63bM+Vmbt5sPgwMjEBFnmQhqo1NW9jbd4I9wVP7EJiaOtXDivV3yvybt/Bw7NgqGwjYuRPmbXk19crCpOUWshD7beejpE+90jMAc4YFwdxE8erRyoJSyWSZeUVYdzwC3x2LkM7ftYkjpvdvhl7NKj5xS/15C5LXrkVJmvBps83QoXCdOQOmTZro74tVxZVzUKqicCp246C0qnDSokwXE5AWJxRhI3P0sELzrkJovSqgsD5BaW0vj6yUfDmIKhvaTzd31ZmRsWGNofyUn1UXTJdB6eWEy8yTNKMgA/18+uGb/t9I83zpgnaKruG5DWdx/kFqlebn5g2Eu53uw/Ta9rnqyip8f/N71uTj7h9jbPOq116K6qTpdhyUalrRmsfjoFQ8rWkmsUDp8FUncTcuEyvGtcczHWXqEpQWAWt7Iv/+A9w87w7rjBLk2pujxVffwapHd4XFSHmcjdO7whF9V3h/bNPHC+0H+bDCi2JaaX4xSjMLUZJV/pVewLxJK5uhtQk8P+om5tL4XFwBvVeAg1K9P0JxNlBQEI/k5Ius6r2TUwdYWMgX/olP+AuxsTuRlnZWuiArq0DYST1NQ2BhLl9AR5yV698smX//g7QdO1AYFwczTw/Yjx0H25H6VSVO26oXFpcyD9KNJ4VcQGTPdfFhYfZO1qZKT68qKJVMlFtYgg0nHrDCTyWlAnkI9rXH9AHNMKCFUGmwJDMTKd//gJQNG6Tro9ylzm++ASOHqvkOld6EnnTgoFSkg8pNBU4uR8njazAwsYBh0FAg5HWRJte9aQpYUaZ4hF1IkBZZoFVa2poyOBoU4sZyiqljugpKa9tTRlKF5ynLi5qQi/SkPGQm5dXYzdjUSMYTVb6oFOkplukqKL2ZfJN5kiblJaGHZw98M+AbmBnpBlxW5mwo1/fETRdAHwhWNgplfbt/IFxs9G9fsnv59uq32HBD+J88v9t8jAsap4xEWmvLQanWpK0yMAel4mlNM4kBStcei8CS/+6hb3MX/PRKiPwG972LnH1b8eikEwxKgDh3U3Rdsw1WrRV3Rrl6MArn/3rAUvQQGO003A8tuntoTMjS3CKUlMPPUgKgEhCaWQj2O/sqAoXYK2oGZkbw+qRSMStFO/N2XIFGqgAHpY304FXZdn5+PqhKmkUdVbyTU44hNnYHkpL2S6cxN/di4fl29p3hYN8FVlbNVVlCo+ojxsWEPgr69aFQfHM4jIW5kD3Z3hNzhgbBx1H1T3HVBaUSHYtKSvH9yYcMmBI8JWvtacuA6bA2QihOYWQkUjZuRPrvu6Xyu86ZDadXXtHH41B6zRyUKi2Zah02jwAenZbvO/gzoOcM1cbT014UUs+KMt2sKMpEFeKFivXu8G6huQ8p9BGU1nSs9L+eCkkxcErfWWEpoahUVmp+ja8GU3Mj2LlSLlTLKh6p5tYmGn0V6SIovZ96n3mSPs5+jC7uXbCq/yrYmKoH4DUqmgKDUbg95eG+9TiDte5cYIwmRUYwBpBgVIpz5sXIMRD+AdMHgfQh5dDW9RtqqsC2amyy5toarLu+jj3/YdcP8XyL59UZTiN9OSjViIwKDcJBqUIyaayRtu9tHiTnYMDyY2y9/73TBy3cZd5/b/2OzK/exuMzwv/9O74G8Fv+NTq3U6x+QFp8Lk7vCsOjW0JYe6uenqyivYOHVZ36lGQXynt+SqCnBIhmF4HalNWSb7zyJAZGBjC0NoWhlQmMrExAXqP0c+7VRJTmyH/AZdbEDi6vt6tznbwBV4ArUKEAB6X81aCYAgc/RmnEMaCsFIZ+3YFBCwBT6zr7ZmRcYdCUQvQlZmLiIOQzZeH5XWBr277OcRpjA21fTOibpuSxuepQGHIKhcrPdIM2Z1gL+YsgFTelKVAqmZ4g7ubTBEzDQekByJq5WmPagGZ4qoMn+z33yhWkrN+A7OPH2e/GLi5w+98c2D7xhIq70I9uHJSKcE5pkcCqat5XvToBrx0RYQH1OwUVZbp/IR4RlxNRXFSRn9O/nTOrWh/YWfDy1rQ1JFBamzbkRSMbvk8gVfBGzUNORkGNXc0sjcsBqnxRKQKr9Jyypmug9GHGQ8w4OgORGZFo79IeqwasgpO5fqQfCk/MZnCUvorLoyKau9mgV7EpnCLki3nm2hojuas9DtxOkP5/s7c0wXNdfBk0beJcNzRQ9qy13X7t9bX47tp3bJoPun6AF1q8oO0pax2fg1Lx5OegVDytaSZt39u8te0K/rkZh2n9A/H+UJk6BVnxSJ3RBwlnhbRcF4IMUPLxDLzS6Q2FBLh+JJp5kRYVlMDGyRydh/sjqJ0z8/YUvD4LpOHvpVkC9JR8L5O5DqlrMgn8NCqHngQ/GQSVfEl/FwCpoXnVNGOUnzRtd5gUlho7msNhXBDM/G3rmp4/zxXgCsgowEEpfznUrcDemcBloUKo1Fo+ATy3re6+Mi1ycsIYMKUQ/eLiTPaMkaEF7CinaTk4dXBQPD+MUpPrYWNtX0zoiyR047byUBiSs4Ub8G5NnJgHaUc/zXmCaRqUymq77fwjfHs4HPGZgheWn5MlA6ZjOwmpKLIOHkLyunXIvy0UTDNv0waus96BVc+e+nJESq2Tg1Kl5FKuceQpIOwgcHcvkFqRN1duEI8OQEBv4cu/D2DSMIrvJT7KZJ6j4ZcTQYWNJObR1I55jzbv6gZTc+VhnDIH0FhAaW2aFBeWMA/U9ATyPpX1Rs1DXlZFsazKY1hYm5R7okpC+Ss8Uk0q3Qg+up2Cy/9GIuVxDswsjNCsizu6j26qzFFpvG1MdgwLtw9NC0VLp5bMk9TDSvlQTPLkLS2R/SqV/7200u8lVX+n9C8VY9TSvrQMYfGZuPs4E4kZ+TAsAwxhAG87c3jamsPdxhyxoWkoyBU+nJS1lz7vjkwj4OCdeBy4k4CzERWFQ6ig4XOdffBM+f84jYutpQHX31iP1VdXs9HnhszF+JbjtTRT3cNyUFq3RppqwUGpppRUbBxt3tvsvx2PqVsuswizk3P6yy0oaepAJB+PZY8d7mCIsKmD2Pu0rJXRe2+lUPfchBzE30pBYVoBzAwBa3MjmJBDfXH1RRKrU0EOfpIHaCX4KYWi5Z6hFCavjpWUlODIkSOIDHsIQ0MDNG3RDP369VNnSN6XK9AoFeCgtFEeu5KbXtYUyKkIW5T2np8EGKmWjyw/PxZx8X8wb9P8/BjpkJLwfPI2dXYeoORCG1ZzbV5M6INSu688xspDoYhKFbxZ2nrbsRykvWWKJGlqH9oEpZI17rocw0LyH6UI+/GwM2fAdHxXX/Z72m/bGTAtjo9nv9sMHAjnt9+CeatWmtqmTozDQakGjyErTgCjYQeE78U1h0SzWQ2NgdJK0IO8TAP6AP7l8FTF93QN7krhoSRFmcIuJSA1tqIok4O7pQBHQ9xh6yxewRkOSms/usK84iph/OSJSlC1OhgnGY3yntq7CeDU1tECl/dHorhSeCKB0la9PGuBirUDw9JqgKMENpYwcFmK0hoAZG5hHq7EXUFWfjZsjG3QyqE1TA3MaoWVNGaZdLxSCHMIj+mDkd5U3VliZyJSBGh6OwGP04X8tsaGBlIv03bedvqwLWy8sVkZRLwAACAASURBVBHfXP2GrfV/Xf6HCa0m1Mu6OSgVT3YOSsXTml3rpqXBQQt5+QuKSzHoq+OITs3F+pc6SdOBkDdn/MzXkXU9AQbmdrgVZIfYIA+M9RwDo1wwz8+S7CIGSMvUgJ8MdpZ7gcqGwUu8QQ1M1YOfypzSzp07cbvc+ULSLyQkBCNG8HoXyujI29auQGhoKCiyp1OnTg1WKg5KG+zRanBjizyBwoqbUOnI7V8AgoYDgYMAU9VDrYqK0pGQsBexcTuQlXVHOryNTSsWnk95TV2cB8PQUDUoq0ElRB1KWxcTom5ChcnoE+GvD4biXnwW693UxZpVsddmDjQxQKlEij3XYxkwDUvIZg85WZlKgalxQR5Sf/wRyWvXoaxYAFoOL74Ip9emwMRDee8kFeTXehcOStWUmLxGwwmOHgQSBC9kqfn1AJoNBgKHAA+PA/s/qHjOsQnw3BagpBB4eBJ4eAKIPAkUVwqV9gkRPE2Zx2lvwFC8i3tFlCGgRkWZwi8lIjY8XdqFPBKFivXucPWrn5yQHJQqcoLVt8nPKRLC+VlOVCEXqvA9F4X5ihesUH0FutHTwNAAlEOXvoyMDJk3kOR3Q/q9/Dnhu+zv8s9RXxrLSKZdTGYebsdl4UFKDkpRhlIDwNfZCq287NDa2w7WFsZsTKGP8HX9cAweh6ZVK46VvRmDpe36VxTqpFQz+28n4ODteBy+lyjt19LDloXlP9/FB+YmuvWeUnlzP9z8ASuvrGQPz+4yGxNbTRT9xcFBqXiSc1AqntYUEp6VkA4bN3tYtFY9LUlZQYlMmLsAOs9cj0fEo3S0sDVHaztL9nxpdpFK8BMWxkjPLERaegEKygBbL2t4d3CBna9NRT5QKxMYmBiKJ56CM1E9kS+//LJKa2tra7z//vsKjsKb6aMCw4YNw5QpU/Dss8+y5R87dgxffPEFVqxYgXbthPy0GzduxOnTp/Hjj5UihVXY8Jo1a0CwdNWqVYiOjsYrMrU2rKys8NRTT2Hy5MkqjKw7XTgo1Z2z0N2V/DgSoJvzmsyjnQBL6ctPvXDh0tJCJCb+y6BpWto56YyWlgHlOU3J03QQTEzsdVcvDa2ssYHSk2HJDJBeiRJuysjjcvbQFhjT0UtDilY/THFhAWJC78HQyBi+LVtrdS7ZwQkIUw5TScEMG3NjTOvfDOO7+cI0MQ6pmzYj7ddfpV1cZ82C46SJMDAXz0NOG2JwUKqkqlKv0YMCIC2SqUZu7QoEDhbgaLMhVT+wyklGfvR1GJlbwcS/W/UTR18AIk9UwNOySuFkBF8l3qb0vZ6MijKR5+jD6xXRDQYGBiyknuCobyvHelpZxbQclGrnCHIzC6Vh/NF3U0GvhcpGQNGUgT4J5KsGKlaCjhVAsA4AWQOsLEYRfgndhrCMMNha2ODVdq/Az963Yg2GNY/LIGg10FPTCmblF0tzj0o8PW0tTDCqvSeGt3FHz0DnWqckT+3/NtwEFTGRWEB7ZyRHZ0uLehmbGqLjED8ED/ED/Syxa9HpOHgnAQduxyMsUfhgkIzydFM+0x5NVQclmtap8nibb23GV5e/Yg+/3/l9TGo9SdtTyo3PQal4cnNQKoLWZWVI/O46CqMFBwgyUx8buL7VATAQfi/NK0YpeXdK8ntScaNy2Cmb71NZ+ElRNGUFWUg1z8YDmwy4uniijV971JQD9M7ZeFzY+wD0f4cKEIY8EYC2/So+DBJBLYWnoOtpAlT0FRUVxb6T4weZmVkuTGyzYFBmgPwMOxgY2OCDD2Q+PFd4Ft5QkwqUFZYg91oSy2lrZGMKi3YuMLTQTFqoOXPmwNDQUArKCZD+999/ePHFF6XA8o033kDLli0xc+ZMtbdVHShdtGgRXFxccOnSJaxfvx5vv/02nn76abXnqq8BOCitL+X1ad6os8AfbwJpD4VV0835sC+B/HTg5i7g0ZmK3TQdUA5NBwIuLdTeZXLyEcTG7UJS0n7pWGZm7tKcpgRNzc0bhqddZbEaCyi9/CgNXx0MxelwAYDQTRzlIJ3QrSKsT+0XUg0D3Dt9HPvXf4PiAsGrzsreESNnvA+f1uJVhjxyLxFrjoaDdGAXj8aGmD4gEOO7+sEi/C5Svv8BWQcPsueMHBzg+t57sH/2GW1JovVxOShVQGKqVs9C6slr9JZ8B5+u5WB0MED5RuuwnJwcmJiYwNRUQY98mlvicUo/VzYJNKVwfV/t5pSOuiNAsYgriayAgsT82jixivXNurjVtX1Rn+egVPtyU57TTbOrfnDbdVQTdB7hr/0FlM9QVFrEcpKefHwSjuaOLNddB9e6/x7FWuDFyFQGSP+6JuTkI+vo64ARbd0xvK0HvOyVy00c+yAVhXlF8AhwkhbeunMqFjePxzBoKjHyLiVgau1gJn2MihvuvRErhaYUIktGeQTJy5TymbrYVLQXS6O65vnp9k9Yfmk5a/Zup3cxuY14njEclNZ1Opp7noNSzWlZ00g5lxKQtiu0ytPGDmag9wcW9l6ieNoRA2NDIc8nC3c3xenYDNzNzEVwCxf07uCBkowkJC5fhKLoBzAszcDRYUZY3Rro4dkD6wevr3aZVIjwzO/hLNc5WZNgF3Qa6gdXHSqAFBMTIwdFs7Mr3nslm7KwsECOZyoOeXfBAwSyh1uW3cYzqZGY9uyH2j9sPkONClAaiIRvr6I4seKDRyq05To9WCOw9Pfff8emTZvw999/szWMHz8ezs7OoJy1q1evBl2jDh8+HJ988gl69OjB8tiuXbsW6enp8Pb2xrx589C8eXPW96WXXmJw9dSpUwgLC8PChQvh4eGBpUuX4ty5czAyMmL3Fn5+fnIepTS/j48PG2PatGkszcZnn31W7Xj0Wl28eDEb39fXF2PGjAF5xZKdOXMGBGJTUlJA3qlDhgzB1KlT2et/yZIlCA8PZ2to3bo1Pv/8c8XvcZR8fXJQqqRgjbl5QcwNoKwEZj7B8jIk3gFu7hSgaXqU8JylowBMmw4UwvPN1c9PRR6m8fF/soJQEjMxsYOdXWfmbersMhBWlvVb0EGTr4+GDkoptH7Fgfvs5omM8pnNHtYCU/s00aSMtY71/fRXkZEo753k3aotnluwWLQ1SCY6EZqEdccjQLneJEbAlICx1eWzSN64EXlXrrKnzFu0gPP06bAZqH95fDPyMxCbGotA90CYGJqIrrNOTpgVXxFOT3C0SKbKtKVTeTh9ueeoku+lSoNSWYHIu1QSok/wNPq8vHwUls/AaXmOUwrbV9MkRZkIjmanVaQFcAuwZXCUvEdVqZCu5rIU6s5BqUIyqd3o7ulYnN/7UFq0q3mIGwa/Il40AG3gnaPv4HDUYdiY2mBl/5UIcVf/ta+uMKVlZdh6Lgrbzj3C/YQKz60xHb0ZIB3UUvUPFgoLC1FUVMRuWCob/a3eOv4YMfcrQvTp77TjUF84eVnLNSfPUoqmOHg7AddjKlJnDGjhysLyh7R2V1cGjfbfcmcLll5cysZ8p9M7eLXNqxodv6bBOCgVRWY2CQel2tc6Zetd5N2qptaFzNSV4acEgkpyfxqVF0GiSu/0GAwEV9Tfr8TgvR3XQek9/p3ZG7kXLyHqtddQlp8PU+sS3O2fj3lt7Nh79e5Ru+FuVfU95u6ZOOZFStccVPQx5MkAtB8owJ76sri4OKm3KMEhglmVzczMDK6uruyLvPgkPw+9eAgRkP/gsLPhXezr+0J9badBzpt5NBooUbyoV1FsNvLupFbRwjzIgXlYK2O2g6o6E5FX8auvvsrC652cnBh4/OqrrzB79mwGTylv7XvvvYe//voLjx8/xltvvcXy1vbp0wfbtm3D/fv3QfltLS0tMXjwYLac/v37M0A6dOhQbNiwAVeuXMHEiRMRGBjIfidYKht6LwGlBGeff/55dOvWjc1ZebyBAwdi1qxZCAoKYkA3MjISK1euxObNmxncffLJJ/HEE09g5MiRePjwIc6fP4+PPvoI5BFLXrMzZsxAZmYmCA7Pnz8flFpCG8ZBqTZUbaBjUt4TqshKnwDUaFRURAJNJSGczs0rvEwJnmrAMjNvICFxHysGVVws3BBQDlNJTlMqBGVr01YDM9XfEA0VlFJxJgKksp4uMwc2w6zBwqdYYllKTBR+fO+tqhceVlaYtmm7WMuoMg9VD15/IgLH7idJnyN4TMDU5ui/SFm/AYVRwgcS1n37wnnq67Do2LHe1qvMxB+c+gB7I/ayLsaGxni93et4s/2bygzRcNqSJz5B0fADQHwlr1EqsESh9BRSTz+rYWqB0srzUj5TymsqgaePr8i3MDaTD9NXcO0ZSXnMczT8SiJSYio8JOxcLREU4sZyj9q5KOcBp4ZkKnfloFRl6VTqmByfBht7K5iZK+gtrdIsVTvNPjEb/z38D2ZGZsyTtKeXeimH1F3WnbhM5j36y/nyD6oBNHezwRPtPDCirQcCXdW/gagNlErWT6CUgCmBU4n5tXZC8FBfeDV3qLLNQ3cTyr1ME0C5TckcLE0FL9MuPghwVj33vbqayvbfdncbvrwg5Pyb2XEmprSdosnhqx2Lg1KtSyydgINS7WhdmlOE7LOxyD4Th9Lcomonse7hCasQd0ggqLIrycwrQt9lx9j7x9YpXdE+4gpiykOKzd2MUNA1GWNbu7Bhl/ZZiuEBw+WmyKPcpr+H497ZOPa4f1tndBruB/cm6jv3KLOXxMREOShKXnSVjbzn3N3dq0BRW1tbadOyshI8SjyMbndcq50+vr/uRD0oo4+utiVQmrk/UvTl2fT3gd3Q6iNoRo0ahUmTJsHNzQ3ff/89A4/kRUph+BcuXMCJEyfYYwQ3jx49ij///JOtn15zBDbJq3TAgAEMbBKAJIhKRh+UElQlr05JDtTqQu9pfoKn5HUaHx/P1kDeqpXHo+dpfMqhKoGc9DOtlUL1R48ejWeeeYZBWQK3Env55Zdhb2/P1kl71LZxUKpthRvQ+AqBUsl+C7KBmzsEaCobmk/57sjLlICpp2besHNyIpCY9C9iY3ciPz9GqridXbDgaeo8APb29e/toexLoaGB0pTsAiw7EIrfLlTczE3p3YSF2VO4uVgWF3YPoedOI/TcKWQmV8BIyfw2js54fa36Sa7V3Q+FTn5/8iHzvpHY5J7+mBDsBvt//2AFn0pzBc9D+3Hj4DR5MkwDxAs9VXZ/O+7vwL7fzyIoKQTmRdbINE/Gdc+jWDRpLlo5tVJ2OP1rn50gX6Fe1muUvEQleUYp5yh55GvINApKK6+JivxJPU5PAPE35VuYWJYXhaLiUL3kUgVIijIRVHkcWuEpYW5lAvIQJDjqpkMhb4ocBweliqikuTZUbZU+uDU21kx+L0VW9uGpD7EnYg8MYIBVA1ahv09/Rbpppc3uKzHMg1SS15smGdbGncHREW08YGxUnvxPA7MrAkol0yRHZ+Hm8ceg0HyJkUc4heQ3DRaghawlZhVgH4Xm307A2QcVgCAkwJEB02c61n9+wF/v/YpF5xexZU8Pns4+5NOmcVCqTXUrxs7YswdZ58+jrLgE1sHBcHj+OXEmbsCzFDzMQPbZOOTdqLi+NrYzQ0leMSg/o8QodN5tZkeWp1FVW7jnNn48E4lxnX0wr/AW4j/9jA1lFeQCz5Y3Mb5FAO4YFLGCbFSYTdbun6dcpA+RmZwHIxNDdH2yCToM8mFF8LRpBKQkeUUplD4hoWrObZqfvPgqe4oSIKrO0tMvIjXtDA4kJmBvrj8uo+o9rzVyEd6/hza31ujGVt6jNAd5d6pCcE15lNIBUIg88Rp6/ZDn5fTp05lHZ3BwMIOXrVq1Yp6kc+fOZeclW/iLICfBUsppSmCTQtw7ljviSIo1Ud7RJk2EyM/qQCl5mlK4PYXkk0creTqTVR5v165dLIepl5d8HZJevXqxglRbt27FTz/9xPpSG1pzSEgI8ywloEq5eCnC5YUXXsBzz2nvfZuD0kb3Z636hpUCpbLTJN4t9zLdWRGaTzfQgeXAtMUTgFXtBQUUXXV+fhySkg8gLnYXsrLvSLtZW7coh6b94eTUT9Hh6rVdQwGleYUlWHbgPjadKs9xC+DFEF/MHhbEvEfEsNKSEoSdP43Q82cYIJWYqbkFCvNliuNQHrcRT6H/pNfEWJZCc1yNTsfmUw+x53rFTef4rr6YEGAGx393I7X8HwkN5vz223B86SUY2Yv7aXhNG8ktzsWdlDu4k3wHJ45fQ/CNJ6o0tZ+cjPFdxymkhd41og+JJBXqK0NE+qCIFWIaAmggZL0mbbQKSitPmpcu73FK7/2yZmaDMKuXEZ4dggdR8l5uDI6GuIPyj+qrcVAq7smJDUo/OfsJdoXuYptc3nc5hvoPFXfDACgig7xH6Su3HDq42ppjTLAXA6TtvLXz3q8MKJWIkpWazzxMbx6LkeYYtnO1YIWfWvXyrFY7iqhgofl3EiApPkXA9/kuvgyatvXSzv4UOcjt97fj83Ofs6bTOkzD1PZTFemmUhsOSlWSTalOyWvWIOnb1XJ9CJS6L1yo1Di8saBAzoV4ZJ+JRVF8jlQS82YOsOzsBsv2LihOzUfu1UTkJmfB0sUGlsGuMHZQvTgpfUA05rszMDMxwiH7e8jeKOQete3VHp5e/+ILZ0dst7VGsGswfh7+s3RN9CHtmd3h0g9yfFo5ovNwf3g203yRYAqXl4WisbEV1/GyrxuCSeQtKhs+7+hY+wfmWVm3kJp6GjGpl/BHmhWOGQxADHxrfDkOsozH1q5C/kdu9aOAtnOU0q7++ecfBjDptUTAkcDjb7/9xirdUy5QyhfapUsXlmv08uXL2L5diKCkfLfkxfnuu+8yr87KYLNyflPqUx0olc1RKqty5fHIm5VA7L59+2r8sJu4071797Blyxb2fe/evQz+Uq2LiIgIHDx4EH/88QdLARAQEKCVQ+WgVCuyNsxBVQalsnJQqCkLzd8JSELz7X2ApoMEL9OWVUGKqmoWFWUwaEp5TSm/qcQsLPxYMShnp/5wcRkCAwMjVafQar+GAEqXH7jP8m4Wlydpf6qDF/Mg9XIQJ4w2PSFeAKTnTiM+oiKRfJOOXdC6z0AEhnTD6e1bEXPvDgyNjODXtj26jXleq+eq6uC3Hmfgp7OR2Hmpwmv62U7emOiUC6d/fkfmPiF5t6GNNVxnvgOHCeNVnUqlfnnFebidclsAoyl32M+RGRUhKUNCX0GTlPZVxo6yvwuLpsXoGhSM7i06w87FUpJ6SqV11GsnideoBI6Sx6XETK0rijARHLWq6lmljbWLCkorbyAniRWGirp4H+GhhohIb43CsooQGl+LW2gekIqgbp5CyL5rS21IINqYHJSKJjWbSExQSt6E5FVItqjXIjzZ9ElRN0uV48l79ERYhZdW72bOGNnOEyPauLMiiNo0VUCpZD3FhSW4cTSGeZlmp+azh8lzPHiILzoOrb5oY2FxKXZffQzaNxU8lFgrD1tpaL65ifjXbjtDd+LTs5+y5bzV4S2tpY7hoFSbr2Zh7PDBg1EUXXE9xR40NETQpYswlAn11P5K9HeG4pR8Fl6fczZWWozJwMQQVp3dYdnJDabeVdN+aOre5pm1Z1gR1J/Tj8Dl2D9MRIdxY+BuuxN/IRsfuTixFE+/j/odTewED7iwSwnMizQ9IRcGBgYIGRWA4MG+MNJAVBv9P5JAUcr/SFCUrgkqG3nbeXp6ykFRysmoiOXkhCM17TTSUs/gQupjHC3rg2MYiBII74XeJoUY7+WO3o7OWHL/Ai7lWsEYpehunY9V7XvCwUS86AtF9tMY21Spet/eBYbmmjsXSuNAOT/Jdu/eDRsbGwZIySOTjMAk5balYkkLFixgYJRgKnlvUu7SX375hb02K4NN6jtz5kxWGOr9999n+UHJG5XaVpejtPLZVh6P/seRJyiF9r/zzjusOXmLUoh/mzZt2Froefp7oTURLCVQSnNR6D95rN65c4f1pdymVNRJG8ZBqTZUbaBjagSUSrShsNPr28tD82UqK3sGC8C0+VDAu4vGlCwrK0Ji0gEkJOxDUtIB6bhmpq6wY9C0H4OmxsbKJVPW2AKrGUhTFxPaXGNNY689FgH6yswX8hINbuWG2UODWN40MSzq9g2ElYfX52ZmsCnNrW3Quu9AtOozAK7+8gWjyIWfPqWifx66blQES+JRJFnrqA6eeNkoFk5/70LuOeFDAbPAQDi/+SZsR47Q+JYIisoCUfr5YUaFxzBNaFFkjZY5XRCU0wl2CZ5AgeI3tVaOpnBwtWJ5KW1dLGDnbMF+JohqYq74OBrfeHUDRp2tqFAff0O+hXvbikJMlHakHqy+QGliZCbCLieyfIVZKQIcIXN1LUZzpzsIKtkB88zb8opQZAErDtVb+E75rfXIOCgV97DEAqVU+ZwqoJN90uMTjGk2RpSNpuQUsvd6Ks5E4ensfd3YkHlXDm/rjm5NxPO+VgeUyop1+2Qsbh2PQbJMLmLyMKU8pgRPqzPKwbrvehwO3okHFYOSGH3wSgWgujcVTweam7yKybuYjHJsEzDVtHFQqmlFhfFK8/KQdfgwsg8fRua//9U4CV0/mbdpDfM2bWDRpg37biBiig/t7F5zo+bfS2WANF+mgJuJhxWsyHu0k1ut4EcT9zY/nYnEwj23sOLmr2gZIeRKd37rLbh4XkHk/b14xtsThSjDpz0+xehmo5lHO3mRkoc7GeVM7jLSH15BVXMnK6JSbm5uFShKuW4rG+UPJSgqKbIkCaUnSKuoUUq51NQzDJCmpJzE8eL2OGYwEHfQRjpEfwczjPfywBMu8l6xdG9Dc5mbq+65q+g6eTvdUYBye9L9LAFGMqovQ16iVFmevC8l9t133zGPTDLKgStbdInAJnmdUsi+xKiQ0wcffMBgKbUnSEqez4qC0urGozB6gq6ya+jQoQMr2iR5nOZ5/fXX0a9fP5ZKgLxLySj1EhV9eu017UWBclCqO69rnV+JRkGp7G6T7gE3KJ/pLiD9kfAM/RNhXqYDgdajARvNVkJNTjmKpMT/EBsnhNGRESSlnKZOTn0ZNDUz036S4NoOXRMXE2K/qOjihQBpfKYARno0dcacYUHo4KP5kJbKeyvMyysPrz+NB1cuSp/2aNYCrfsOYIDUxKz6iwV9AqWSjUUkZWPb+Si5lAaUn25Kzl047t2OgvBw1tSqZ084vfoqrHp0V+nlkF+cL/UQJSB6N+UuIjIiqoxlZ2aHEPRFk8x2sIhzQb6QG19qlramyM0UCnbIWvAwH9xNuo+YxwkwyDSDbYEzTEpqTslgYWPCwCkDqC6WFSDV1QI0h9YtO1G+Qn1hxY07TCzKw+nLK9TbeGh9OXVNICYopaJM4ZeoKFMSKE+hxGydLRDUVQitt3er8ChFelRFqP7Dk0CmcBMjNWs3IKBPOTztBTg2rWu79fo8B6Xiyi8GKP3myjfYeHMj29iHXT/E8y20H3FwOjyZAdJ/b1Xkp6aQ+qcpvL6NB9ztxL/p1RQolbxC6AMU8jB9LANaKBy/4xBfUBG3mmzv9Vjsv01FoOJRUCxUG/Z1tJR6mTpbi/Nh5+6w3VhwZgGbn0LwKRRfk8ZBqebULIqPZ2A06/AR5Jw5U+vADIYaG7OK6ZXNLChICk0Jolq01e+CscoqXFZcykLrKf9oSVqFPhZtnWHVyQ3mLRTLra7uvQ19aDTs07346PQPaJkqRC25fTAPji2LgL/fxSQvT1wxNcbY5mPxcfePEXE1iVW0T40VIny6jAxgH8yYmCr2oTsBUImnKHmJ0hddV1U2KjhDUFRScEkCRQkoKWuFhcks5yh5jqaknsDjglIGR8l7NA2CztZGBvg/e98B3cZ5ZnvRO0CCvVO9UBJFNatatpXIliW5xnGstZ1kU5zdON2O09bPm8RJdpO8xEmc2Nn1S3bjXhPHdmzZ6l2yOiVRokixdwAEiF7f+f7BAAMCJAESpEQZ3zlzBpj5528zBGfu3O/eLcW5uKcoB3M0Qz/bZIDSVGf/o1WesJ3e3l527SZzrdJ9Lpk0UXkiGKUj6P8dMUlzcnIYsM8HAaXU3mAZCuozHZMxc0rH7GfqSNsMjBtQKuxhJDX/VSAUFv2mFFVez3T+XWkbD1+Rpf8QY5l2dr4Gv597uBeJpCw9P8fIgaZq9cSb5Iz1ZiLtEzVMha8ebcOTOy7iUh9380DAKDFIV01PLp1kLH3ta22OpNfTZz4IGK269gaUzx/ZNGwyAqX8OJtNTrx4pIUB1Hx8fIYRX+g7gqy/voCAhTPKybrjDmTffx+Us2cPOd3uAAeK8rqidZY6XLRcRAihmGPUUjXm583HPHU1Si2zIW3LQu95J7zuqFA/CeKT43F5lRHlVTmMEbrzuToQo4hCrpJi8U0VMamXtX21eK3+Nfzj7PvQuYzQu3OR7y9FlWwhjN5CuM1BuAbiwVa+c1K5hGOhRhioHKCaFWamjvo6azkYdqh/H+g8GVtN/txoSj2xIK+wGG+glPS+yLGegA9yveaDzu+sZYWYeU1B8g6y5gaWqs+Wpt0AgdLC0JdE2aY019mJ03Yv1ynIAKUTO/PjDZT+4eQf8PsTv2eDIiMQMgQZryDQj88U4P+PUlt3LS7FhvlFuGF2Yhfj8erP4HrTDZTy9bfVWRjDlMAMPqbW5DEdUzKAGio6+l14/Vg7tp7twqk2LmuEYt2cAgaarp87/i+6/3rxr/i3ff/G2iVzJzJ5SldkgNKxzaTn/AXGHKXFfSaauSBWKqFdtw66desQ8vvQ8e1HYhpigNv998NTXw93bS1ctbXc+nQtEOSAeWEoq4h1WhUFUOdMbvmYRLPu67AzcNRxJPrihoyYNEsLGUAqzU1NSmuszzY/fOo9rP6vH6HIYWIs36LHH4dh5UzgD6vwiywd/segw2zjbLy44SXsf70Bp7a3smEVTTNg6aYpKJszNKBLTLmWlhaQyRKfPs+z2oRzjA5n+gAAIABJREFUI5fLGVAkZIsS643cvkcb/oCdAaMEkJpNe+B0NeE0OPboQayKVFutU2NLkZEBpPIRjKcyjNLRno3McZkZ4GYgwyjNXAlJz8CEAKV8b/xu4MQLQO0rQJMgNT9/Nsc0JQOoitEx5IYbMIljU4o+6Zq63VF2k15fjZyca5GXux463cQ4dI/1ZiLpEzuGgu+c7mQA6ZkOjjZPqfUEkFKq/XgHsUZJf/TM7u0IhW9gswqLwun166DPTV4DcjIDpfw804Pji0da2fkIBDlgc0ORBJ/tPATdX1+MnA5ilxrvvw+B3KwYpugFywU09DfAH4zVVJKJZViYv5A501flVKHQNhWeS1I0nzHHsAapgexCNQNFCSAlgfyEN91eP8w9/SgoHR5EJ8YOgaaneqPp7MuKluGOik/gGs0a2HpdIAajtc8V+UzupcMFD6DGpPPnqxiDSSoTvBklbU16aUML6Y16ouxISOTRdHpyqjdcfkfm4cY8XkApaX01HOtlAKkwZiwhx/oCVM5Pw0uS3vMcYMqDpy5z7FCzymNT9S/zucgApeP9qx9b/3gCpc+cfga/PvZr1uDXFn0Nn5//+XEZ3MnWfgaQvnI0qpXIMyQ3zCvC1DzNuLSbaqXjBZTy/aBUfDJ9Ors3anZSMjMLNesrRjR4232hF2+d6sTWs93od3Iv0rI1cpaWf/eSMlTmjt8cvtnwJr6/9/usTbpG6FpJR2SA0tRn0XnkCAeOfrANvrbo35M0Px+6dTcwcFSzenVMxb6ODtg+/BBBvx/66oVQTIuVZRIWdp85GwOeus8NMiukwhIJVJSyX8Wl66vmz4NixozUB3MFHOE80cvS673N3P09hWKKgaXWU4r9aGMszzYH3twBxfe+AZXfA0lODop/8ji0a9cC/3sL3us+gofyufuO3037M7p3BdEbzmxZdFMFFt9YwV7QC4MHRXmmqNk86B6DydaKGSBKztvEYOOZoumQ6gqFAhHNUZN5D+z2OnihwE7cgN3iG3EpVBbp7h0F2binyIg12clLmGWA0tFepZnjMjPAzUAGKM1cCUnPwIQCpcJe9V0AToX1TC1RxiAqV3N6pvM/ARii/0ySHtAIBZ3Oxoiuqd0evSHSaGYiJ2cN8vJuRJZhcbqai6tnLDcT49apcMU7z/cyQO5IE3dTUZKlYi72ty0sGdemndZ+XDi0jwGkLbVRAG1KzRJmzjRr5egYfVcDUMpPPKUlvRRmmPKuyLdo+3Fb0/so2nuIFfPJxXhtjQR/XxSCT3DfKIKIgaJVuVUMFCVwtCBUguYzJrScMaPljCniXkz1iCUi9hDLg6O6nJFTQsmtkAAOgyE59+J6Sz0DTGkhGQAKYrTeOfNOphU4PWt65JoLhcCBpgLwlMBUAlCtvU74vfGMEP5glUYEg9IGQ+gS9N5zMEg6YZB2IUvSCWV+IedOT8Do1OvG9RpPd+XpBEpbzpoZMEoLMUn5IIYGc62/phDiERgOYxpfd22UbUrgqRDApoqNUzjglNc5nWDpgwxQOqazm/LB4wWU/uXsX/CfR/6T9We8DHvopRZpj55uj7Ih6QUj/Q8l/VFxChp2KU/cKA4Yb6CU75Kj34OT21uZliDpClLklGhZSj79vgwXDo8fL3/YylLzDzaaIkWvmWLE3UvLccei8bk/eavxLXx3z3dZe5+b9zl8fTFnTDGWyAClScxeKBRmjW5nqfWBsM4dHamYNo0Bo9qPrYNqwYJhK6PUamISUup0ShEKwXXyZBg8PcPWvOSRsB6RXC7QOqWU/QWQT5n4LLVkxha0+xg4SktQ8D+emTMtKYCicmiWdzL1U5nRPtsMfPAB2h7kWNueknLM+r//CVV1NbDrP9G152e4o7QEdpEIX/M+DvdR7uVIfoUeyzZPYfepxBDlFwJGKd04URQVFTFglNY8KEpaiOmM/v7DHHPUvBdW63FWdTOmYLf4JuzE9XCHwuZMSjkDR4k9WqxIna2aAUrTedYydX0UZyADlH4Uz/oox3zZgFJhfy9uA06TnukrQDCc5ktu0rwB1MJ7CP8f5QiHPszj6WKgaW/vu7BYOLCJQqUqg9FIoOl65BhHB9IN1epobybSPnhBhQSM/m77Rey6wN1gZKvljEG65Zry8WwWXQ31DCA9t2cH7GbuAUimVGL+DesZQJo/ZWzahVcTUOoNeBlT9MPOU3jv4jGcN9cjKO2CSOzFgkshbDwSRE0Dxzg15SnQfOsiaG+7lYGjPOjYfsHCgNHmWhNM7QINTsKiijXhlPoclM5OXQg/VaBUeGG93fg2A0yPdEU1aBfmLWSg6S3TboFYNLxejsPqha3XyQGp7SZYm5ph7XHANqCAKzj0W3qZQhKTzs+MpfLVMOSroDOODA6P6x/HCJWPFSglUybSHCVwVMjYzSvXMc1R0h5V6SZAGzbRODtOCBinu4EwkB4pmjNDkKq/GtCOb/pyBiid2Ct9PIDSF+texOOHHmcDSSdDkOq72GPnzJkOtcAX4F7aGFQy3Lu8goGj84qTe3k0sbPMtTZRQCk/toA/iJPbWpmOqd3MvSDTZCmYVMuC60dm8Z9s68cbLDW/G5Rtwe4ZJOKIlun8kvTO9TuX3sEju7k07s/O+yy+ufibYzpNGaA08fQF+vuZ1igzZNq+PaaQqqYmwhyVT5mS9PyPGihN0ELI54PrxIko8/R0LbwtLXElxWo1ZxZVxZlFqaoXQFY68nWd9KBSLOi5ZGX6o67TfZEjpTkqaJYWMIBUok3f//jRPNtYXnwJXY89xvrWVjoTa5/5DeQVFUDzPuBPN+OBwny0emrw8Z4tkJv08EsdKKqWQp7jRXdvFzo7B4nmh0dJ6fJ8Cj2xRem7RjM+DHSb7TQsZMhk3guL5UBkng+J1mC//G586I1q2q816hhAelt+6vfYwlOfAUpT/EPIFM/MwKAZyAClmUsi6Rm4IoDSyF20FzjxPAeYNu2NjiG7ktMznXsbZwIyDuH325imKQGnfX3bIi3I5bkwGlcjP289A07HCtiO5mZiHIbLqqTU+t9ur8e7YXMJuVTMANIvrBk6TSkdfblAzvWH9uH8/t2R6gqnzeTS69feALkyPW95JytQ6gv6cMZ0hgGj583nWer8xf6LcPjihebFvhJ47GUIuEvwiQ4v7rpQC1VTPZtX0fIb4Fz9CXT7cxlr1O+LMi8pJZ0Yo4w1Os8IbfbYgMGxAKX8RdBia4mwTK0ejpElEUkiLFNiwyaM1kPRdHoC2QThza6CrWAjrPrlsEqmh1moXHq/0LU9Ub2JUvlJF5XAVGLdXs4YDVBKY2442oOLx3rQ2xKVHSDGMANHlxUgu2h8HibGNFdtR2IZp4NkJJA3O1bjVJ2c+USyfcoApcnOVHrKpRsoFRr03F91Px5e8nBaOkpp4QSQClmOy6YYI/qjWkVsOmhaGk1zJRMNlAq7f2ZPO2OYUno+hVQuZin5pGNKn0eK14+1sdT87XVRmZCqYn0YNC2HQjpyHSO1QfvfbXoXD+/irplPV30aDy15KJnDEpbJAKXRaSGgkdLpiTXqPHo0Zr60114bYY5Kc3JGNd/pBEoTdSDodMJ1XACe1tbClwC4E+t0Ea1TStlXLlgAWWF6jWwH989xqJPpj/q6oveMZMpEqfWqeWmQz0kwIak+2/Q9+Xv0/va3rKaDhVVY/cxvMGNaMVfzU6vwhHMADfZbUGIvh19mh182EKerT0Wzs7MjoCixRQkU1emST2MfzcXlcNSHHev3oq8vCuyTIdMRzQN431eDDh/HHlWKxQwc3VKUg/m69D3bZMycRnPmMsdkZoCbgQxQmrkSkp6BKwooFfbadBE4+SIHmlo4B0QWJUs40LT6U4BxfAC9UMgfAU27u/8eaVoi0cSAphJJiik9Y0hPSfqEJlGQTCUIICXTBD6+8fGZ+Nq68dNcsvX2MHC0bt8udDdyzu0Uc9Zcz8yZKhbUJNHz1IpMBqCUQFHeaInXEyVQdMAr0M8MD3ta1jQQ01KYQu/yBfDSkVb8v72X0GJ2osInxq22HmT7FHAqY5l2lOrIpdQbUTJzbG+0B5+JdAClwjo/aP6AgaZ726MvTOYY53As08JVUDXtieqNeqJaW6wOYqJTOj0twziqh4KhIdL5OX1UIbA8eLxqvZwzmCLgNE+NLKaJyn1WqMcfIEkWKPU4fAwYJd3R1nNRnS5i01LKK4GjRdOzUvvDutylm/cDdP6ZOdSe+N4UVMVqnCrHxjLLAKUTe8LTCZQK06fvmX0PvnfN98Y0mC6rmzNnOtSMfqcvUtd9yytwy8JiLK1ML0g/ps4mcbDd3gqP14kc46wkSo9PEWK1n97ZDsp44IPYpTU3VkCbNbLbPRkfcqn5XYzdy8dtNSVMy3TFtNEBbcLRbm3eysDSYCjIzL/IBCyVCAZ96Ox8Bf3WRmg0BSjIv4llLn3UwnX6dNipfhs89dH7QGbG9DHOjIkWSmsfa4w3UJqofyQT4Dp+HO7Tp+Gq5dL2/X1RNid/jCQ7O2oWNX8+SzUfLSDM1+k3uWDfTwBpBxDWsxfJxNBcU8QAUlnh+L4ETQUo7frhD2F5/gXW9ffLl8Lz4NewYaqCOc931O5Fiy2EIOJd5QkA5XVF+RT6ZOWexno9uVytsFjIrX4venreiamuTf9P2CX6ON6xRQHaKq0qApCqJel5acM3mmGUjvVsZo7/qM9ABij9qF8BKYz/igVKhWNo2AGcItD0VYBnE4mlHGA6eyNQvQWQpK7zkuw0mUw70dv7Prp73oLfz92Ii0RiZGevijBNiXmaTKRyM5FMfamU6bF58Jvt9exBj48Hrp2Kh2+aDek4aRC2nasFMUhPb98Kv9fDmtXl5mH+9etRtfYG6PNGLx4/0tivNKCUDJUIFCW2KM8SpXW/h3OwF0a5vpyBouRCT0xKWhKloBMrkrRGKZ2+qdYUuUFmdYUCyDOdRo7pDHLMZ1B41yYY77uPS21Kc6QbKOW71+3o5limdS+gRzBPt9oduH3AjsVuD0CMcwJFp4fB0RFS9ZMdOunqRbVQORYqr5XqtkdBksH1EQjJ0vgFqfw8mEpppumIkYDSi0c5zVFaSOOVj+mL8xl7dEp1cr9X6ejr+NYRCptC7eZA05aD8c0VVYNpX/MapyTrkkJkgNIUJisNRdMFlL7X9B4e2sWx/+6ccSceW8mleI4mdpzvwXMHW/DBue7I4WRy+E/XlOPm+UXI06Xn73o0fRvNMW5PJ86c+Tr6+z9kh8vlOZgx/fsoLLx1NNWl5RgCSk/taEPj8ajGIGkkU1o+veRLJrad68Ebx9tYar7Xz2VQ8CZaZAKVox39eaKXdw/vfpgZI9479148sjTWWX24/h05chtsA6cjReil+9Ilr0OjiWpxJzO+yVjGsXdvJK3e3xNl/3JmTOug+9g6aFZF3b/TNcbLAZQm6rvfZBKAp7Vwn66N0V3lj5Hm5kY1T6sXMA1WSRKa7+5zZgaOugUvGuQlWqjD7vUElk5EJPtsc/4b30Dr6dMwG404VzoNXoMGslCs2Sj1VxSUQgYtZs6ehnmLZjDDJWKPTmR4vb1h5ug+EGkmGORM5Si0WctxUPlPeMdZiZMD0e235Gcx7dHrjePHas0ApRN5FWTauhpnIAOUXo1ndZzGNCmAUn7sBJJSaj6ZQAlT87UFYQOoO4Fp68Zpprhq+/uPhNmm78Ltjjq5GgyLw6DpjcMyBZK9mUjnIOweP57YVo//2t0YqZb007594yzoVekHmAkQJXD0/IE9IBd7PiqrF7H0+tmr1qZzeEPWdTmBUh4UrTPXsbR5Hhg1u+PdN4u1xQwUXZC3gANFc6tArvRDRetZc9iIyQRLlzOmWF6ZDg6jDDtsA9htsaHS1oVPte7H2vr9rJxIKkXuv3wJ2ffdB4l+7AL+kT/NFM2cRrwAnKZYh3q3FXvUKrym02CbwJxhqrYUd865B5unbUa2YuJuor0uPwNOEwGpA2HtvYRjFAGG3LAWap4qzERVR0DVZLxezu3vRFeTBXKFFBVVeRFNWWKM8o71bkcUyC2dlc3YowQ6SNKUjjri+btcBQLeKNP00m6gPTalk3WreFE4VT8MnsqGT4fLAKUTezLTAZTuaN2Br+34GkKhEPtt+Mnqn6Q8iAG3P6w92ow2C6eHSbG5uhifWFyKtTPzUq7zSjng3LlH0NH5akx3CLyrXvB0OL01BLAXLPxblhC3PdE2VixajgpxxRJsi6mD2x9bbwh2iwfNtX1or+cZpiHklmpRMd+I7EJ1Un1wev34sMmM0+39aKdzJ+LamlOow+KKbMwuJBCDtoX7yvolHCs/9tgxX+yvx1uNbyMY9KMmvwbXlV0Xna/ImAXjAuB0NKCr+824Uz+l8suYOnVsmqdXyvUk7EfI42Ep9cypfts20Hc+FNPDZkzrRjZjGuvYrhSgNNE4/N3dcBLz9OQpuGprGfM06Ir+xvDHUIq+ct48KOfPY8ApLWKNBiFfkDNn2t+BQH90ftUL85n2qHICs0SOHDkCWkhWgtidS5cuZQsFvdDlnefbW1vRVlcHpzQ+40YmkyE3KweBtgG4XeWQ+rVwVPbgq5/fwjSMJzL8/gHGHDWb96Grm8gxUWM+nW4+HNmfwDb/MrzU68GAn/PUKJDLsKWYM2cqV46dDT3SeDNA6UgzlNmfmYHhZyADlGaukKRnYFIBpcJRmRujeqbC1HxKuyQn64VbgNyZSc/DaAoODJyJpOg7HBciVei0c5meKS1aLZfS5nQ2orPrDQwMtEKnK0NR4e1Qq8dHOoDvSDAUYgDpUzsb4AmzK8gh9uEbZ6PIMDZNykTzZW5vZen1tTs+gLWnixURS6Wo/tgGBpAWTJ1Y9sREAaWBUCBOT5SA0V5XvPtmnjqPgaLMhT7MFFVKhz8XBMaRxigzYjpjAqWM8yFXSVkqfUVYb5RSwvl47Vgbnj/UgqPNFlT3XsQnmvdhSRvHapGVliDnn/8Z2Vu2jObSjzsmLYxS0qKsf59bOo7FtmEoi6TT95ctxWsNbzKmaetAa6TcTZU34fYZt2Nl8cq0jGm0lQSDIY55OghI5beRoclQoTbIkZXHGUrxqfy0pm0ypQRbnzmD+iNRVhvVU7kgF5ZOB2uPDwIWiDk685oCaAwT+6Ax2nkbl+N8ToAAUz5Nv/NkfDOlS2PNoSSCB53eOgTPvwu/wwJ50Vxgwd3j0s1MpdEZsJhM0BkMkCZ4oE5mnva172MgqSfgAf0m/Hztz5M5LFKGzA2fPdiCv52IStMU6JWg9HoCSStyUpfcSakD41CYNPW45SLsjnr09X0Qw44ahyYzVY4wAyTdlJtzPQyGGhgMi6DXV0/aOSOmKA+MOvbuixkHZ8bEMUfllRPnCn8lA6WJTrSvrY2Bp66TpxhwSkvIH8u0lGSVQzFvIyS5UakqiVYGzfIiaBYXQDJGrflUL8Dm5mb86U9/ijussrIS/f39bBkcolAISshwLGhEaUkJvnPnSjR/6MDhNxsQColgU/bhwrR9+PUXfwiDYmyyOcmOh+TWCBglx3pijno80XssjWYaCvI344RsPV4zy/CBKSr1tDJLy9Lr7yqcWMmVDFCa7Jm9+ssRhiORSEAvGyjoxf7BgwfR19eH9evXQy0gllz9s5H8CDNAafJz9ZEvOWmBUuGZa9wFnHyB0zMVGn1MWQvMvYUDTWXj+3DjdF5ioCktVlvUUEatroTRuAqdnX9FIBAVVpdK9Vh+zT+gUIyPqPvTuxrx1K4GWJxcSsiNVYWMQTotP7kUtlT+MJpOHo2k1/PH5VVMibjXyy/TD/V4AKWkUUap8xctF2OYot3OWPCK5oEYjgSI0jIvdx4DRjWy5HSiCBhtPmNmAGl/dyxrNL9CFzFiKpo28o3kmyc68MKRFhxoMOHa9hO449I+zOq7xE6ValENS8fXb9iQyimPKzsqoNRpBi6GgVECR92DbqrJuI1Pp8+fk7B/hzsPM8CU3In5KNGWsFRbYpIVasbn72ssk0WMKXKajwCpBKj2cWn9Qibo4DYopd/n4RgMiUKbrQiDo4XIKU7uOhvLOCblsW5rWN80DJ72nI0fRvlyLk1flQ28N0jTctYG4J4XJ+XQr/ROn9u7EwdefQGWznZIZDLMXXM91j/w1ZS6fbjrML6+4+tM4/mG8hvwxPVPJHU8kQl57dHzXVF96Gtn5OGea8qxYd6V9zuSaGCDAVH+e1KTADDATiJWkrZQ+BBai8B9E4W9LLlt3JYhtrGdg8oN2sYdHW5H0F7ctpAI5k4H+rtd4d8/EeRKKYzFWmQX0H1dcn2gcg09djT2OdFlcwMhEeOUFhiUmJmvF9wbDe6XYKzhUbfa27CjZQd8QT/m5szByuJVMXMWmS+I4HQ1MfBlpBCJJBxoqueAU/osl1+5rGVPfT3nUr9tO0h7VBjatWEzpnXrxqy9OdK8DbV/sgGlicbhvdTEwFPn8S4EBnIgUkYd1AN95+Fr3gtf6yEmp0TMU8Y6DaftQzy+KfcEgr7//vs4c+bMsKco32CArrYW2V3dyHU6YfjiV7DhJPcy8q0tS9G4swOUJUVRl38IR0vfxc9u/hGuLR0f415hZ/v7DzOAtLv7LfZ3yodSWYyCgs2QGjfi77ZcPN9pxiUXx9yVikQMHCX26CL9+D5XDjWxGaB0tL8Kk/O4v/3tb3jmmWfw5pvxmQmf+cxnMGfOHDzyyCMMJL3jjjugUChQWFiI7373u0zTNxPxM5ABSjNXRdIzcFUApfxoQ0HgxHPASUrNF5h8kJkH6Zku+BQw88ak52a0BeltJA+a0hvKoaKy8l9QWfEvoJS3dMVfDjQzgLS9n2OXrZmRyxikC0pHBtRS6YNrYAD1h/bhzK5t6LhwLnLo7FXXomrtx0Bp9pc7xgqUEih6znQuCohaLzKAtNPRGTc0rUwbAUX5FHq9PPnU9v4eJ1pqo+CosAEyB+IZo+XzcqDSjk4u4Z3TnXjxSCt2X+jFLY37cHvDbhQ6TKwp3bobWDq+ZvnylE8bXetd3X+Hy9ULnW4KSkvuhU43hEM9zxolgLR9EGtUXxwFRklzdASmrbCjLr8Lr154FeRwTVIHfFxfdj1jmdJ6MoTHyaX080BqhJna54J9iJR+uj5u/tICFM+cZKZMV8IJIYmHCON0N9BXP3Kv7v8bMPW6kctlSiQ9A277AH7/hX9CKBjLtl5zz6ex7La7kqrnRM8JBpKa3CasLlnNQFK5kB2coJaznTY8d7AZzx1qiexVyiSMPUrZF3OKkv8NT6qTaSqUKiCqVJZCq5kBTXghCaGOzpdjekOZMMuWjQzopWkIo6rm7N4OnNrZBlMbpxWv1MhQs76c6ZimEmT6RAZQb53qREf4XkkuFTPzp7uXlmFeycj3S2Q0SAZPdp8dn5z1Sfzb8n8bsgvHjm2Bpf9QZD8BoFVzf87km6zWY+i3HmNZR4ODDJ8Meg40pUWnm5fKMNNe1vnh0YgZE7nW8yFWqaANs0aZGVOY3ZT2DqRQ4WQHSgMDXjgOcOZMQVeUWaqaTfITLfBcOMJYpwRYJwrF1KlQMqMoLmWfgNSxRHd3N1paWiILpdoPFTNnzsSaNWugP38BHQ8+yIrJiotQ9PjjeOCMGHsv9uGRymKIzlgR8AWhkZiwv+wdHCj6EF+q/hK+vPDLY+nqsMfabKdgtnDgqN1eFykrk2UzcLQgfyPOi+bghU4TXuyMSmXN0igjAKlBGm80NW4dTlBxBiidyNlOri2v14vTp0+DpIO0Wi3mkWSGMj2ZmwSU/vGPf8Tbb78d15nGxkbGGiVg9PDhw3j00UfxzjvvQDzOL0qSm5Urt1QGKL1yz80V17OrCigVzi6l4zM905cBC8eeY2GcCsy+mTOAojT9cQ7Suzl77mFmBjVUyGRZUCpLQG8x2VoRXoe/k9HCSPHq0TY8vasB9WHX10UV2YxBunzqyMeOVLdwf8+lBpZef+K9t+FxcgxZtSEL1R+/mZkzGfKvHOZNKkApadnVWeoiWqJMV9TSgDZ7W9z0KCVKVOdXc8AoudDnVCFbmZo+JqXP84xRYo0K06apwYIpesYaJYCUPqczyOjipSMtOHLyEm5t2Is7GnZB6eeYx1mfuJMxTBWzknNBphcBx4/fF9M9up5XrtgBYk3DZY7VGnUNYo1WrOSkMog5Wji2G3m+Eyd6T+D1C6/jjYtvRPqVq8qNsEwr9Kk9VKdz7sdSl9PqxZ8e2RtXRcX8HGz68uRN2xzLnKT92IGuKOOUMhR88bpxrE0yhDJO4YzE2HpKdE3bMpHSDDSfPoFXf/yDuGOmLV6G27796Ih1kUkepdt3ObqwrHAZnrjhCdDLq6Hi9WPteO5QM5Ml4YNeJt63ohKb5hdBJb+8D8J8n8YKiDJgVDuDY4kOioaGn6OndxsCARcMhgWYOuVrk8ZcqPFEL05tb0X7hej/k5r1FVh0YzkDT1OJd2u7GGi6vS5qNFRVrMfdS8sZaKoYRtd5f8d+ZhhGDOa7Zt6FR1cMfa0Sq7S/vxEaLbne3wgCZoTh99sYaMoBp8fZOhh0x5QRi+Uc25SxTjnm6eB6Uhl7MmUHtm/nwNEPtiEgAMeYGVPYqX48zJiS6dtwZSYrUOpptDJw1HW6LzI8aa4K2muKmP6oWBWv8ek+e44ZRjHd09paeJui7EjhHClmzoRqwXwOOK2uhnKI+zy6HxaCovSZ5nNw5OXlobc3XmLq3nvvRe7x4+j8N+7vQTlnDop+8jjedGjxy5dqcVNIiXw7JyE1M+88dhr/B28aHVhVsgpPfeypsZ76uOPtjguwmPczQ16r9XhkP/0uMnC0YCOMxjV4vtOEFzrNOGKNZv9tyDNgS1EOPp6T3vvwsQwyA5SOZfbSf6zP58PTTz/N0t35IOOxL37xi1CphtfAT6Y3wwGl//Ef/4Fp06Zh5cqV+NKXvgS6NvLz8zFr1iy1zt/4AAAgAElEQVQGmhJ4+sQTT8BkMmHRokW45557MH/+fNTX1+Oxxx7Dt771LTz77LMwm8341a9+ha9+9auRv2lio37729/G7NmzmcQGgbI/+tGPIl1+8skn2e/CN785+bS2M0BpMldepgybgasWKBWeX2KXEmhKD74BgVt12TJg3p1A9T0AsU7HKTo7X8PZc9+Oq51udiESw+1uh8fDaXomCvpnrlCWQMUDqYL1gSYZ/rDXgVNt3NtdMikgBum6OflpHc3Fwwdwds921B8+EKm3rGoBS6+fs/rKYlfZvXY8cfwJHO86DolYghXFK/D1xV+P9JvsGy5YLsQ4zxMw2mKLMiT4whKRJMIUJVCUUugJdBtNkPESl1JviqQa8fUotbIoa7TKmPLD3mj6s6OuhzFMzx48hVsb92Djpei5zfnC5xlgSg9DwggEnPB4euDxdsPr6UFb8/9Dv/1UXPMlojkoaDdD2V4HpTvAe2kA2vxY1miKDuSpjJMYwTzLlOQS+CAN09um34YNU8YmN5BKX9JVdu/L9Ti5ParLSvVuerAaFfPS+0IkXf2d1PX87cvA8Wfjh0BGa0HB/5HBJURiAXCaAEgdwTxqUs/ZKDvfUnsSr/zo+3FHT1tyDW57eGimHh1Qb6lnTNKWgRZmsPPr638NozJeM67F7AybM7XA4YkytO5aUopPLS1nJj+XK8YTEB1uTMSCoYc8jSZ9WS0TOYedF/tx4oNWEHDKx9xVxYxhStrOqUTvgIcBpm8cbwcxTvm4vaaEAaZDvXQ+2HmQgaVWj5W9jHts5WNDNkssPJ1OlzTbx24/x9imBO4QcOpyNcfVrVZPiUnZ12pnpzLsuLIBmy3CGiVwVBiK6dOZ3qj2Y+ugmj9/TO2M98GTDSh1HOTYoz6B1JJqbg40SwuhnJO6Bqbr1CkGnrLl9Gn42qPms8K5V86dA/GCapgqK9GjUaPdZkNra+w9BpUndlx5eXnMQtu3bdvGNBHpd4R0EpcvX47q+nr0/pqTPdGsWM6YpL7cAnzxBzuweEAMeQggPf1lsy/ieP8P8B852TDIdXjlltdQpInKC4zlGnG5WsKao2/BYone21KdBQWbGHOUfCQanB7GHqX0erOP+7+QI5My9igBpFPVV57GewYoHcuVMfKxu3fvBsmJJRudnZ04f/58XPEZM2agpKQk2WpYueuui3+eHg4offDBBxl79dOf/jR+85vf4MCBA/je977H/s/Q//XPfe5zuPvuu3HttdfivffeY3IZVB+xXwkkJSCXtEzp7/uuu+7C66+/zgBVuVzOwNG2tjY8//zzrDwBov/93/+NiooK2O123H777fjBD36AtWsnxqA5pYkcoXAGKE3nbF7ldX0kgFLhOWSp+S9y6ZZ8UHoepfqSlunsTeNyxo8evRv91g8jdWcZlmDx4pci30lMnABTWlxs3QG3u43b5qJtdJMz9A+31ZsDnaYUxTlTYtmpymKolCUQJ2CUjDTQAVMfS68/+f4/YO6IMisXrt+IquvWoXDa+JpljdS/ofZ/5YN/wc72WOYdgaXVedWRNPpLVgHLWFARpc3zZkv0uUBdMNpuIBgg1qgpnFJvwoAplh1SONUQZo0akV85jm+rSZKCXhAQuBPwx66DPhxt7MUHtY3oP3UA15jPoNzbjmBWCIECBWRzc4FCBbwhKzwBG/yh2DEkOzkKaEBphEr9LChVxJ7mFro2aS0Wj+/N6DnzObx24TWWmu8Lg1w6uY492G6atgmzspNj0CY73vEs137BEna9l6F8bi4MeakBAuPZt6uq7pYDwJ82CNywyTZ7M3D3s4C1nctUoMXMr5u4764oSzHhfOiKBrFQBWCq+qMJeHtdTvzhi/fC7+WY7XysvfefsWTzHUNeVs22ZgaS0osuYvZTun2BJvY3e+uZbjx7qJlJjvBBhkz3La/E7YtKkKMZf5divt20AKKaGZBI0pPSN9mBUn5eLV0OHH+/Fef2RcGgqTV5WLS+YlQZGQcbTXjpw1a8faoT3rD5Hl0zPMt08DVD2rgEllrcFtwx4w78+8p/T3jNpgqUDq7E5zPHAKcEntK9ozDIJIpnm/LMU5bdMUz4WtsiZkzOI0diSpKOOTNjWjexZkyj/V/SZ/fgB2/UYueFXvgDQayYloMfbJyLWYW60VY5bsf5SVKHudd3Rv7PiOQSaFcUQbOkENJ0/m8PBjmzqOMn0HPqFFo7O9GtUKAvLxdWQzxRRAcRSozZqJw1C1NrahhLbaggcL29rg4lc+ag74nfwPws94JRf9NNjElqsQTx5z+ehLKbY6VOX5yPZUtsaH73NtxXzP1e/2LtL3Bj5dik0TzenjBz9G309W2P6W5u7g3h1PqbIRJJsbXPxgDSf/RFJQSWGTRMe5RA0is5MkDp+J4dAkq3b4+9fsa3Ra52kqtYt25dXFPJAKXEJn3llVfw17/+Fc899xyr43e/+x127NgRYYGShimBowSo0osN+vzGG28wqQA+6No6efIkLl26xPSHDx06xMBVii1btmDp0qX4xje+gVdffRX/+7//y9qbjGn+GaB0Iq7oq6SNjxxQyp+3/pZwav5LgFmgDUU6iXPIAOoeoGhh2s5yw/FenD/xFtyeHigV+Zi1cBOm1aQm1E/g6fFL5/BB7Ul0W5qQozKjSNOPqcYByNAzrIstpe8nSuvn0/0pXZqP9vNnUbd3J05sjRrkGEvKUP3xDai6dh0UVzD7xO13Y+lzS5M6b3Nz5jJQlKXR5y1EsTYsej0CsBgFGwl89MeAkOZeP1oageYmEdpaY1Ok1KoAyosHUF5kRUWhGXKJWwBcDqprUL2xIGd8u2x/gmOCQR+8csAjF8Mjl7C1V0Gfowt990l5847hp07qD0HhDULhCbK1RyGGOSs+1dHoUiGgz4db5ALdvI4UpNnGg6bsOg2Dqfy2dOr4/q3hbww0Pd4TTcFaXLCYsUw3Td0EqTg+tW2k/k/0fofDwdgb9NY3E+M4A6YGBC+8B5/dAkXxXKDq9pEbI3mJGBC1KQqmWuOlPGIqpMwGYRq/ML3fUDZy25O4BGUrHHz9RfS1NkOhUmP26rW44TMPDDki0oqmdHvSkZ6RPYOBpGU6bo5MDi/THn32UAt6yLgnHOvnFrD0etLuHs+40gDRocZ6tQClkYc8uw/Htzbj9M52+L2c8V3JzCxQWv5oWPfeQBAvH2llTFM+a4fq/NicAsYy/fjcKCj/YdeHeGj3QzC5TOx/yY9WRVMU+f6NFShNdB5tA6cjjFMCTunl+uDQaKYLUvYXMYkF95kzLJ2eDJk8Fy7EHKJduzaSVi8xXtmg0eCxPvj8MaY9K4wlFdl49V9WjueffEp1u86amP6ouz76Uk1eouXc65cUCIzBUqp2yMJdXV0xqfQ2W9S5nT/I6PMht7MTOe3tyO3tg9oZNRElzVliECuZ3mk10z2VhU1iun74Q1iefyGu7exP3Y3Cxx7D6Z1t2P+3RvhdfrhFwJo7pmHZxyuAp6/FHeIe1Mtl+HTVp/HQkodGNViSN+M0R99GT0/0mYUqy85egcKCzcjP3wipVIt+f4CBoy90mHHBGf2/wJszEVA6GSIDlI7vWZqMjNJEQOl3vvMdnDhxgumXCuPzn/889Ho9A0q3bt0KUdhMkdLxv/71rzN2aVVVFej+4OjRoxGglNimpJVKwO3999+PDRs2gMykJmNkgNLJeNYuU58/skCpcL6b90VBU2FqfuECYMEnOabpGJg+vS0DePknsW/pqflPfm8p8sqTe8t9ut3KNEj5G0CVTIKHb5yFf149JTISSonmWamx7FSOqUpp00MFAVGiYBZcpiCsXW74BmTw2mXIL6vBrGUbMWPR+st0hQ7TrN8DOHoBRx/g7GOfrf1NWN30fNxB5P95p1+OhX5goS+Icj8xK2NBTg6M9AEElCYZ/pAcLZ4atHgXodmzCPZA7AN4kfwsKuTHUa44hjxZvFlDks3EFQuJOPDTywOeCsFn2hYGQ32y5JxPJUERFH4JFAEpJD4pfC4RPE0ByBsCkHcFIbaSOoUeRasqoK0qACj9WCxDqOMIjhsbYBGApSWdbsxe+gww8ybWb54tzZjSrjBLOsKc5q7NkYJ02IQM1CiYWsoA1pEYM4nqb7Q2RlimZMhBQeYvjGU6dROIUXylRgYonbgzQ2/h6cGEUpnGHPT7wkBUAXgaYaReAgKxjMqY9iSyBCCqQBuV9l8FQWYIlA4mlQ79wqLP1ceYpCd7T6JSX8nS7adlTcO+i33MmImM6/jIUslw74oKBmyVZafXpXjsgOh0ZrAkkVweVvjVBpQKL38CTE/taIPdwrHYckq0TMN05rLR6aif67RFUvP7nZz0BjFL6boipikxTo91H2Ngaa+zF7dOuxU/Xv3jmL/I8QBKB//J032g1cal6nMLvRDk9CD5ELvFkDUA8ksiyBtFUHaqobv2YxHm6OU0Y3L5ArB7/HC4/dzaQ+vwNvZZuJ3fz5Whsue7BhAMxY6Xxv35NVMwLU+LcqOanavSNP8WjPTTG/IGYA+bMwX6o3qf6pp8aJYVQjElPfJflDI8WF+U/s6FQcDI4DR6csqmCDocYb3TE1za/skTCDrinx3ESiVk5eVxIDvVQUxS9Xcex+G/N+LiUe5Feb0sgJqbK/HpDTOAd7+L/3PxRbyu04JeUv/5pj+PNH0x+4kAYCFwtOcdkPZvMBgdn16/kIGjpDtKL+ApjtmcEf3RQPjaoJR6Yo9uKTKyVPvJFBmg9Mo6W8TOJABRqNc7URqlfOp9IqD0F7/4BZqbm/Hb3/42bsJOnToVB5T+7Gc/w4ULF1h6PbFECWR9+OGHI0Cp0+nEHXfcgdWrV2PXrl14+eWXQeOcjJEBSifjWbtMfc4ApYMm/uQLHGgqTM2nIjNv5LRMk2EUCap023049GYjanfHg0Gls7JBLuZkPsAWbXitkbLvIrEIDb12PLWrEa98GNUM+tb6WfjKDdNTvmIobYsDqzhwihabtQED/Q3wB3ohlsemcMXeWEkGpfQLzKfC6f0i0Rgf1IMBDvhkoCcHfMasnfz38D7PQMI52FRajOZBNz7LXW78V9fIzEZWIWkMEuhAzEICBPnP4bXJV4Zm+1y02GeifSDWuEUjd6I8pw3luZ2oyOuGTC4K18HXNajOBPV7RG544IQ35IQHDniCA/CEBuAN2OAJWuHx98MbGNpxVDgp9AAul+dDoaClAAr2uQBy+h7+TPsSMTZPtvbj9T3n4XvlBdzWsAc6L3ez7FizDlUPfgGq6mqg5xzwXzdgQOFlrFSlJwh19gLgiztTuj5JZoKTnIhen9x3DlgNhTh20FBBQGkckBpmphKQKpMNz4p5t+ldBpqS3hwfpEdLzKCNUzcOawyT0kDTVDgDlKZpIpOoJq1A6Ujt2doBcziFf3BaPxmjDReG0qGB1HHU4B5pSKns93V2wnr+PFTZ2dDQ70uCsHltDCQ90nWEZQH8fM2vcOSCipkzNfZGTTiWTTEy9/rN1eFMgVQ6MqhsqoCoSlkacZgn9h7vNn+5ANGhhn41A6X8mM/t78TJba0wtXMvwzRZCqZhuuD60lFfEX8/1cGYpnvqo+YdpGFKoGllSQ8e3vUwup3d2DxtM36y+ieRdiYCKBUOKuT1YmDbdvQcfQXW3oPwlHnhnRpCICseSCRtU5ayr1/E1qR9mmwkBC/dyYCbBHRy5XhQNBCM71uy/UilnJjAQqMa5Tlqbi1YKnM1UKfJ0M3bZofjQAccR7sj3ZPo5NCsKIZmaQHo81iCQDMhMJpIX5RePAmB0bKy1LITAv1WDjQ9cRzOY7Q+gZAvVqfbK9NB7uPuyW33PoqztjI4bV5AKsYOmQeiWXq88qUVQN1bePXtB/DvuUbIxVK8vPlV9pIrmbBYDqGn5210db8Fvz96D6zVzkJBPgeOqlTlkape6TIz7dED/VHNYTJlIoD05rz0ANPJ9DvdZTJAabpndOz1TYTr/WDAs6ioiAGZpFGaCCglNiixSr/yla/g5ptvBv3/IQbpkiVL2Mv/wYxSStXfv38/M38i8Pf3v/99TOo9zRKBqaRLvGLFCvzwhz8c+8RdphoyQOllmvjJ2GwGKB3irFGKJAGmBJwKU/NV2cC8O4DqLUDpksjBHqcf5g4HzJ328NrB1uxGYZQRkolgDQThEoXgFodQVqhFzfQcqLRyKAlMjQCrUaBVpkjOrZdchmu3b0Xd/qhWa0nVdMy5bhGK5xbHMVMJXPX6hn9QJ8BNqYgFUJUiHZRBJZQ+MaQux/DA50jafoPnkQBNTR6gzePW4WVb3Sv4oU4Gs4Sbi3KfHz9BLqo3/yHMhJQOAj8JDBUAmaLYOfR5AsyEqeWMmWmOOgRsAKqfUvvIoZ6W3NKhnZa93j5mhOT19sDj6Q6bInGfyRiJUtTpczJB7rcEdDLAcxgAdDRMy8Htn+mw4Z1/HAJefxmbGqLar9YNt2PRN74EudaP1hd+B09vNzTTZqLonu8A0vRqjpLZWRRIjWelBoPxjqzCcZBu22BdVP47pfnTXFK029vxWv1rDDQ1u6PXO+nOEct0aWFysg7JnMOxlMkApWOZvdSOnVCgdLiuua3RFP4IiBpmplrjzTdiqlIbhwZRSTP1CojeX/0KfU//MdITZdVclD31FKR5UYkaklahdHtyG8+S52C25Kt4/1jsb819KyoYQDqzIHUGMA+I2h31cDgugv8+1PQolaXQkrM8W65cQHSo/n8UgFJ+7JdO9eHEBy3ouNDPNkllYtTcWMFAU/o8mujod+HlD9sY05Q+U8ilYqyvceOM/0n0ubvZ/42frvkpYzteaOtFcV4WCvTjxyD29/WxlHpyqrfv2RMzLGbG9LF1kF5Xjf7cAVj6j8ExcBxeV23c8APQYyA4G2bfLHS7pqPVMQ0DblFCludo5m6oYwig1Cik0IYX/jO3Hm4ft/+n/6jDLoEeMbVDwOenlpaBDN1aTE5ubR46w4qOMWrkUfBUAKZOydWgQD+yRrDzeA/TH/W2RF/oK6ZlQbu8CKr5o5f+sFgsMcBoItf5rKysCDBKxivkTp/uoOus5+c/x7HTIrSWXo+gWAZx0AeVqw+OsCFT8Zxs/Ly9Gx3iAP725VWozgXq/msVPmkQM47zj1f9GLdOv3XYrtlsJyPMUeH9MQGizLE+fyMIKOWj2eWNmDP1eDkw1yCVMN1RAkhnaUY+d+meq3TXlwFK0z2jV3Z9lOpOIObgINDyz3/+MwNKH3jgAaYbSpqjvEYpladtxBANBDiyCaXc//KXvwRl7pA5kzD1vqOjAw899FCEGTt9+nRcvHgxwiil43mW6a9//WuWnj9ZIwOUTtYzdxn6nQFKk5h0MvVgoOmL8PqlMPvLuEVaDbO8GmZnNhzWxGxMiUwMbZYC1l7uJloYs5cXMnaD2+EDMU9p7RiglBI3Au4ARpMMIpGKwwxVDkhV8GxVjQxSuR/m9hNoPb0T1p7og/W869djwbobUTRjeEMbSt13W+vgtp6H294AcpV0e7rg9vfBTUxH0fBGP6RvqfQEoHQHofIEmRs6MRD5tdwbBMgFfRDwKQRBY/YNJYdw7u/A37+Gi34bxCFgqrYUuONpoOyaJE42V6SvdQDNZ8wMIO2o5x6s+NBmK8ImTASOGhES2TjgkwGdPfAKPgtB0JFYkVS/SCRh7E+OBVrAMUFjWKDcNkpFn+i40D2A91/+AIo3X8GqVk7f06nSwiORIdse1dq6uGgtNj//1IR2j0Do4Vipw8lOUEcJeOaA09IIM7XRacWuzlps7zyJ/gCn4UpaiJRSSQ+/OarLZ7yTAUon7vK6YoDS4YZMMiJ8Cn+itH6SKRkqpMpB5lKCdH7SSKUXUuMc3pYWNKyPN/IwfvazKHjk26z1QCjAmKQ7W3dCHFLD3nIvAs6pbB8ZtRA4+sklZQyoGilSBUQnC0N0pHHH7D/0NIIXtiLkc0JSUgNc+xCgmlx6lCmNN1y4q9GK41tb0Hgiau5F7FICTOl+bLSxp74XLx9pA7FNKSSqVujLX4RfbEKlcjXOnquBSNaPUECNm6evwm+31KTUFJlKDWZu8ixM/6VLUB7ai6xj+2FoitUbbSmegVOV1ThcMh+XFEZWh9sXm6EhFgUxzdCEaVmX2DI96xL08viMnWZbGRqslWjon8KWXlcOSN6OQM3hwE3h/ljgMxb8pH0ScXJ66UNNHgHW33vjNHae587v0kojHt08F/NL4hmEPGDKg6etYQCVtltdsYxJYXsyiTiWhRoGUqeo5Mg9b4XzYCeC7ugzAYGjmmuKICtKXQOTHLWFjFECOAYHaRAKGaMEhkxE1P/9Q2x9O17vlLLhlt86FX/pt+CN4+1MIuzRTXOB17+ILX27cFohx92z7sYPlv8gYTft9vNMb7S7+y04XU2RMpRKX0iO9QWbodfHZhxsN5M5kxl/74ner9fo1cy5nkBSaViHcSLmZbzbyACl4z3DV1f9oVAIfX19zNPAkMC4bfBoCTClly1qdbxU0ZNPPomDBw/iL3/5y6SepAxQOqlP38R2PgOUJp5vYhGaOzlWKL8mZ9XBzuX80SKEkJsXgHFqKYxFGhiLuUWfyzEHtv/lHM7ti+qmzVlVhBvumxNp3B8I4fc7L+LpXY1weLkbrLsWluBfV06BViSGh4Gpfg5U5ZcwuCr8TszWwREK9MLvOYOA5wQpELHdIrEBEsVCSBRVEImUUChFUCiCUMp9UMrcUEqcUIpsUMICZbAPSn83lL4OKNEPpXiALTJRLPgbFANuhQRupTiydtF3jYL7Lhs+fToKVg1ipUYc0imFcuSHYBqfpf8QLC3vQSyWwlhON1Xzh/3D8rr9HGO0lpijJsYElsidkCr7IVX1I2+KD8ZSDzQ5dohkFo4Nytih3SC9pGSCA0DD4OcQAKhcPnqmQTJ9SEcZSm/d9adXoXv7NVR11yes0vmfT2LxLTeko7m01OHzWRhLOsJKDeul8t/9/vib/diGRegPStHrDcIcEMHiF6HMuBALi9dhaelNDFwVTQCgxPfJZDIxwXXNFWyslpYTdwVUMimA0pHmydbBaaPGpfU3AU7T8EdnVwzNRqUXW4kiFELAYoHfbEbAbIHfQmvhZwsCFjP8Zgu33WRCKBivDS1WqaBetgzO/GK86jiEc/pmdBjkaLHfD79jBm6pLgYxSAkMSRQZQHSIU7vvCeD9R2N3Vq4GPvP2SFfSVbO/v8fJANOzezlgk2LmsgIGmJKe6WiD7t8IMCWW6QXLWShLXoBYHvs3luPWoUr/f7GgJD+swSnQ2nTH624SuOkLxP59zDU3YUVnLVtK7FEJAOr34cI5OFA0DwcKq2BVxI9FKhGPyM40KnthlF2ATlwHZegsJIFYAJbakclzkWWgVP1FMOhr2Hoi/w8Od46cLjd8/gAMutTBSarX5vKhyeSEEDwlAJX/Lmx7EaS4EzKsRVR+qkcG1BYoYJ1hQHGeBsREnZKjQbZm6FT7ZPRFSTtwsL7oRJk62vpcsJncoPVAnxtNp/vQ1xZNa+fnpGpNMbAkB5/502HkahU49L11kJz4C36671E8r9dhrmEaXrrtrzGnz+VqRnfPP5jmqN1eF9lHslCc5uhmZGcvjznGEQhGtEfP2qPPI58ozGYA6cqs0f8dj/bvfyKOywClEzHLmTYGzwBdd7fffjtL5d+4ceOknqAMUDqpT9/Edv6jDpQGfEGYwmCopcMBU6cd/d1OWHviGaD8mckp1cKYK4YxVAejeSuM7sPIkoRBUJkKmH8XZwBVviL2n7rVg+52EwpKcqAxRJkL/73nEp7a1YA+O8f6uXl+ETNqohurVCPkc8Pd2w2PqRcXjx1D3fGj6O6M6qMatHkwaCogkxbB7VPAHdTAE9SBTIlSDbEoAKXMA6XCD6UyBKVawrFZ9Soo9Voos/VQGrPZNo7ZKgWklGLeEaOTKgSwyPhnuFAoisLu6MWRVGqlMvqZNOAuXfoNGi89EVPN7NmPo6T4U2yb32+Hx9uN7pYmdDdfgrm7FU5nF2QqAkWtHDiqtkIkTk42QS7PgUIe1v1kACgHhnI6oFFgFBgbUyLV8zPe5emhofbOuzGl82JcUzaFFt25JXAa8xHIK4S4sAiK0hLoKsthnFbBUtcKDUpIx8geSdcYyTk1aoAWTu0Pa/kSmEr6viOFTF4Ajbp8kFYqx1ClRUx6tGOMuro6lgZDQCnFzJkzmbg6gaaZSP8MtLX9Bd0978LntUKnn4WK8i+AtPyuqqCU/jgQNayT2t/ChhoKihDwiOH3iNmafXaLEQjp2OL3qxDwSBBwBeEfcCNgTawfPeS8EdsngQHLUOVDEglk5RVQTqmEoqICgWkq+AqD8OrtcIm7RkyZnzQMUTIWJDaw382tA/RZ8J19Di+BcJnItsHHCI6rfx9IpHlL9yxyDcci5hex4LNw+2g+U130sjPlOkWxfUrUdsp1cuPyeEQ4ftCPk4e98Ps4fczy6XIsulaLkinKQe0m0Q9B32o77PjR+7/GWflbcZfylL55ONV7b9I/JQqpGGv66rC8sxYLm09B444CVH65Eh3zlsFcsxyOpaugUSuHYHhKGPtTKUtOoknYOTLMYeZQEaOo46AXkIODmH4MOA3rnSqVl0faw+PxsHTTRKyopCd9mIIEmJr3tkN12gT1QPRl+QFJAK8EPDiMxPeyCpkYFUwPVYNyvQS5ogEoPRa4LN3o7YqC9nzTvL4opdATQFpaOnpt3ZHG7fcFIyCozeSCrc8Nfj3Q54LHNfz9OV//itun4dtnmnCxx45f3b0Qt5e78db/rsN3jZwcyoubXkRVThXLxOohcLTnrbDpGFcDge0srb5gM3Jzro/r9qkBJ2OPPt9pgiesaVuulEfMmQoUY7/XGmmuLuf+DFB6OWf/o9s2yXzs2bMHmzZtYuzUyRwZoHQyn70J7Du9oT7S2EaZUuMAACAASURBVAt6i1lTmcdurK7WCAZCMHcI9EM7HejvccHa4wTtSxTZhWowULRIyzFEizSgbXHReohLzadF6FpMaYukZbpwC1qPvgsc/RPU7h44lfnAks9ij3o9A0h5raS1M/Pw8E2zMK9YkCJEKZVCY6PBhkYx+/rgcHhwxlqAE5YiDPg4MFYmDmJhdgfmZ3UhW54YAPapS+FRlMEtK4FbWgi3JA9uUTbcIQPcAQ3cfiXcXhk8bjHczmCE1Tqa60Wu4syqOAMrwWeNDHJtPyTKPojkvYC4BwFRN/yBTni9HYwNGAwOn95PKek+H4m8x7IvxGIVAy3dnm6EQkOD4MLxyGRZEf3PWC1QAkF5Y6R8iERX79/NSOf3zQcewYxdb45ULGa/Q6ZEjyobvVoj7IY8eHPzESoogqykGKqKchgL81CgV0TAVHqwu9zBZCfCZlN0Hdocl9DQdxhWRyM0cEMvGdmAgqQUhtRJVZYk5XxNLpYiURPUmn4EgxJY+wtRXX3tpH+7e7nPb6L2Ozpewbm678TsUinLsHJlakZlV+LYQm43/JYwm1PA/BSyPCMsUJMJgYF41tBw42J+eIoQpBopJHoNJNlZkObkQVJQDElRJaSlMyAxZkNqNEJiNMKu0ODU55cB1w7AXxSCyC2C6qgYr9dvRk/ZRZR6LqLIAixQF0CnsMGjsbFyvqIQWw8Vcq8eKhRDo50BXf5C6AsXJe8yT/97RwtERkDNBOBlBOxMAHiyfYJjhPcTV+KFdJX16YTjVpxwboYjwMmqFMjqsUjzOqYqoyZ/qQ6ZnL3/T24841kaEkErK4NOmosseR5ylPnIUxWgUFOIYm0hyvTFMIYAyf7dCOzeCfv27YCAdS0tKGB6o7p166BZuTLVbqWlvNN5iQFcVtsxthYyAfkGFIrCKHDKmKcL09L2SJWMF1Dq73Ux7VFamNAmAXsKCbRkzrSsEFKjkskbNPU5GCOVT+8nYLW3z4TgQC/yxXYUiAdgSCBX5RQp4VMaocwuQEFxCaaVFXNs1FxNWp7RKDuNZ4VG2KFhlihJhA31PMSeJRQS6HOU0OWq2Jri1I62uFMRvCEfvzzWjOtn5eNPn12Kpmc345P+S3CJRPjB0m9idZaaMUctlgMxx+blrQ/rjt6c8PS+0W1hAOluS/RF3PVGHQNIb8nPGumSuGr2Z4DSq+ZUZgZymWYgA5RepomfTM2S2PnXXjyOfif3JpR0vX7+iWrcunDsDrGXcx5CwVBMyrylywlKsbJ2O0FvSxMFpcfnlesiYCgPio5qHKdf4QDThu0jHv6o77MwQ4eaHD9umiJFicweBUWZ83sv4IrVxxyq0k6XDicsxThr5UxpKAq0XiwsB+bNzI4xO4ImP/w9N6wHGj1mxE4LC4QQKwUQ0VrlJAKYXIBAf5WXCPCTFmmKIZaIGLCqznJCld0Phd4MmdoEicoEkawHIXEPguhCMBR1PR6qiYBPBb8rCwgYoVIVQp9djLySCiiVxAqNAqBi8ej1ylIc3qQtfvivH0D3na/E9N+m1EL745/C22uCo6UNvo4OiLo7oTD1QGPphcw/PFPXpDSgW52NHnU2Wzuz8+HPK4CouASK0lLkZWuQr1cyMLUwzEyl9K7LFUe7j+KN+ldwoPktZEuDMEpCKFOpUWUoRIFcCvhMcHuishtD9ZOYyTyQKhHnIRg0wufTw+1Ww25XoLfXDp/vRZSWnYlUEQqJcb5uPQoLb2Bp+FqtNmbht4kmRJ8rBNLhTbggAAy1T7gd0eOHLS8ox7eXsHyCckwrOFFfBpW12U7B643qGPKTrtcvYBrBImLGicThtSiccipma26faFAZ2s4x0iLHjlCWpbEKyw9RL7w+hJxuBJ0uBB1OhBzcmi12J0J2B4K0DNDajpDLwz3k0xIERPzn8HfaLgoRy5MrI5LKINHpIdHqIdEbINHTOguQSxCS+CGCC6KgHZKgBTJ/L1S+Dsg8Vo5DT8dH1iHWVggi9EqK0CUqQLuoAK0BPeYu+QABaSzrvtWuhknsQaEshELZ0P83ZA4FZD1iSFuCEDcHIOsUQdopgmjQT41YLobcKIc8Swp5lggyPSDXBSHX+SCVe2NBSgJKL3fQ+SdjPFoktFZGv7PtyvD2cBl+20jHHHkGoBe8whBLgU89SyebKMRjXwjUi9RDJ52+099eou1DtBdTxyj7NIo66szVONGzCiZ3IZshg7wPi3K2Y65hf8rzslUpw7fyktd+zbOGsPRCCMvqgbnNsde8qzwP/lWLoFl3PQoWr0Ku6sqS6qEXikLglBiolK0RG6JY4NRQEzFTTOefW7qBUtdZE+z7O+C5GL0nl5fqoF1RBPXigoRdF+qLNjc3w26Pf+EkUmfDIctCZ0CDOrsSve6hM4/I6Ko8R40KowYVOWpU5nAAKplVFRmiWSVkODoYBCV2qLXPBbt5eLKBWieHPjcKhtLzkS5HCX2Oim0n/VFh1O5qR+2uNgxY3NAZVShenIf7d59lRT745lpMv/BHfOHsH+DLlmJDrhG5oa6Y443GNWHd0U0Qi+MzY9o9PmbO9EKHGe0e7gddLRFH2KNV2vEzRkvn9ZjOujJAaTpnM1PXR3EGMkDpR/GspzjmO/+wH0ebY9NmCHz45V3VIOFf9nxE6xDHzeM/05r7LtiGECj7IbKNnr3Cx7Jtkf1cffSd1cvXIWxLsJ+1xb4L+hLpGwCrF7D5IbJ5IRrwQ2QPL/7EDJOgUgyfQQa/TgqfRgKfRgqvVhKpn2sr3MeYfofbTzAubhyx46Jten8fVju2YrV9K4r88W9cUzxdXHEyLxK4vIfUuTjbFsSJMz3o6oqey7mr1qD6pltRPPPKTBH1ewNwO8J6qwKd1VhgNV6PNZk5k8gdmH7LQxCJYx9yfU4jWnd+C4VTpqB8TjEqqnKQVZCAHZxMI5kyMTOw97k30ffm2xDb+hEsLMasL34Gc1bECu3zB4R8Pvja29liamjGQHMr3G3tCHZ2QtrbBaUlVmtt8FT7xNIYELVHbUS3KhvWrDwEC4ugKiiIgKiU3s9S/MNg6nin+nsDXrxW/xpeu/AazlvOR7q+umQ1Nk29GTcUVcPlaoel/yIGbE1wulrh8XQgEOiBSESp/cOzUv1+OaTSeJDZ5dLBbCpjaJdIFISI1gRFhb/TdplMAplUDGl4IdM3qUQEiUQEsYTLhJUwTG4YsHMQuIhEYGXmbyMzA+M4Ayp3ABpnABoHrf3cZ2cAEkFWSNAngndAyi328HpAwr4HvENrXItlIch1fsi1fm6tD0GeRcCqDBIND1TygKQAsGQAZgIQcyhgMwJ6JjpmEBAqGaf0tq7TwEv3cZILfNz0U2D5v47j2Zt8VZNm+fGtzWi/wIFjJCG0aH050zFNNlxtR7Bp66chtYqRYwPsSuBSoQj/UbYRxjm3odvRDceZ01DsP4n8D5uQ2x4LptWVinBkJrd0ZceCVDq5jjFQC9WFKNAURNeaQhRpitg+BV2HlzFIJ5gDT4+z1H2HI16qh0wUsww10IdT9vW64TXlkxlOOoDSkCcQZo92ImCNGuKpF+VDu7wY8nIulZyC0vyFpkv02eeL1a/n9UX5NHpKpZfJYtPEnd5AmI0aZqSaHBFWapuFy4aiq8AQFIUXceRzvkgCQ0AEMk4dLgj85BYCQAWgaI4KakNqvzk+Xz+6u9+E1doCg6EcP91ZjrdrHfjquhm4r/R97Kn7JQyG2Os2y7AEBWFTJsrcShR7LAN4vtMMYpHyMV+rwj3FOdhSZISSyXh8NCMDlH40z3tm1OmbgQxQmr65vGprmvvou6B/yJMhjAERcoNi5AREyA6KkR0UITsggooYLwnCJQqhSxpEtyQEkziIPkkIfZLgoGTsiRv5T2X/jXsk8QzToEgKsb5oaJf3we7vYbMYa3cXTn7wD5x47y34PNzNm9aYi5obN2L+uhuh0k2M4+XEzSDXUjw71R82uYoaXLkGvPCon0LuzG0x3es78yl88sHHmUNrJtI/AyTfQW6syTgqDtd6wGaDr62NA1M7OuBsaWOsVG97O0TdXZA4htc+HJCrw0AqB6ASI7VbY0SXOgc9uhwYsvSRtP58Su/XcVqpbAkDqqNN9acHJZvNxpYz7WdwpOkILnZdhDKghMqvgiaggcI/9EOrQuGAUumAQmmHVuthi0rphExmg0hMDwtXAMNt2EuHWJWSxAskwFD7+O2IHptKWb7NIY8R1Dts2UHlOrveYPppg2Pu3F9CLsum13/s7SC3DkbXTGsziJBgW9AxgIDDzpagw4GA046g046A04mg04Gg24Ggy8ktbhc7lj0N00LPg0TuHPRduC0gk8Ivk7HFK5XCJ5XBK5HAI+YWr1gCn0QCf3ihughIF0cAdfocC7Jz+6LbxBEAPhhznEQUYiA7rcXiELdmC8JrAu65eqhOBuiD6gizC3m2MaO1xkafXwRlrwzXu+TQBFSQiFSDGJXDsCojAGYUkAy4A/B22+DttsDbaYa3oxe+9m542zoRsA+djSAxGCCvqIC8soJbs6USssoKSHRRsCT9v6zjW6Ov6QACbgeUZQsBzZXFThzfkadWe3eTjRk/NRzriRxIYGnN+nKW6TJS1H9uI/z7GiPF/FN1mPL9X8GxYycGtm2DrzM240B73XUQXXsN+pfNRLfcxcDULmdXzLrb2Q3/CKxnMWk9qrl0/sg6DKgWaYsYmGpUJs92HWmcyewn40QhcEqfiYkqDNLz1utrokZRhhrIZKn1cyxAqbdtAPYDnXAe7Y50S6KXc+n11xRCrJbB4XDEAKPt7VEvAP4g0kcVGi+loi/q8waYYZLQQIk+m7qcsJtcCA4DhvpEQL84CKs4FFm8SjE0RgXyCjWoyNcyFirPRs0ZxmBquHPq91tx+PAtcLmjZBCrR49WxxwsyD0O0rXlQ6KsxJTSu1GQvxlD6daS3iixRwkgJR1SPm7Lz2IM0rVhjdNkrrOruUwGKL2az25mbBMxAxmgdCJmeZK3sezxD9AzEH1Dyg9n1fRcSChlkD1I0cKSBSGObOO/h/dRGUokHLK8cD9fL0s8jKmf2pE5/ZDY/ZDaAxA7ApA4/BATS9QzRModpekZFYBRDhhkEGXJIaa1hNoJt5Wgb7Qv0l/qfXicbBvrVzLHcvMQe2x03liSZbjeng/fwJ3nH4q7Yg5e8ySWb0hezL/pxFEcf+9tNB47HKmrYkENFt64EdOXxLpBTvLLc0zd/8WPnoQy+yi0WhPo0dxmzYPMuxL/+vBnxlRv5uChZyBdQOlIc+zv7oa3lYBULqXf197BQFSOldpBTl3DVkHp/KSPyqf2E4DaRUCqxsi2U2Sr5WAgKjFSdQoUGJQo0EiRJfNDI/JBHvQg5HVGQFEeHKUHp2TCI/FApBQhNzsX0wunI9uQDb1ezxYCmmktlcbrstpstTjy4a1xTahU5SgtuTcOoBQChz5fAB63D26PF263F24Xt3bR4vSAHIJdTjccTjdD5CilP8TW/MKhddx3bp9UKodGo4ssWq0+Yfo/yQEkGk8yc3U5y2x95n+gCvwI3ulRAM+/PQ/rH9vLHN3Jrd3Z0wdnbx/cfWZ4+0ycy7vFgpDFApG1HxJbP6QDpJmcWtjkaljlWlgVGuZabZVrQAZptKbv/eE12y/Xwk+04BGCTEQ0cikofZOtFRKoB33n96sVUmjk3H6NsJwi9njVKExhCFom9rUn4IHH72HrS5174W37ftwITjmy8Y3NH440tLTsp/PmbW6Gt6mZWzc3RT4TuD1UkMZqBDyNAKmVDFQVq6/srAWv9/+3dx9wctT138A/s3339mpyl0YghA4hkACSSAcp0lGkKQ+gCIiiNBHl7wOPCApSRBBFkaJ0KQpSgoDIQ3lMCAHpEEjPldzl+t7W2ef1/c3O3u7e3u3e3e5cmc/kNa+9252d8p5f9mY/8ytRVetNuujgVFhAgqq3nl+L91/pD8V23ncmFh62Faob8jcB7nnlFaw759whVy7lRPobDR5i9Dmq5fn8z12B/B9q7G1EU28TJDTN99gZKfzZY9ZKzQ1UJUQ1w1R3CQYiHApA+jbtHyhqBaTv09wp4J9jDBCVqnUaDO40pOlIgtLQWy2qBml0Xf8NWe+2NSog7ZuhpYNRaUZvDqiYuRN1dXVZwejUqUPffAj3SH+hxqBJ3W196NwURuemkBGOtg7dRN4fdKOq3o/q+lTt0Ck+eGu8KhhtjsexerNRI3VNqkbqhlRt1Fw0h6bD5Yhj6yluzKnzYKspbsyudWGLGhdmVjsxrcqJpB5VoacxR6AnjZ/b219Hc/PTg56HtpiGZX0u7Lb12fjGbgO/A5lvlBHrzcGZZCR7mWZ43Wrk+lNn1GEL3/BquRb+nzyxl2BQOrHPH/d+7AUYlI79ORj3e/B/nnofd7+2Oms/pX/SW05ZUPZ9lw7DNzf2qn5DZUAl1YdoSwg97QODW9kZaSbasFUlGraqwtTZMrhShepP1OUp/OWw7AdT5Aaev/FMHNb9RHrp5ytPwGGX3FPw3dFwH959cYmqPdrRbPTt43A4VTi622FHom5m+UbALLhzZVpAvrjJRa58iZPHYn42lw2Hw2hp6a/1Ye6iNHmSu/kyOrjMMpJo5mO+5yb6qH5lOj15V2tVUDrUMSXjccTWrUNUaqTKnApSYxulqf9GxDcN7G9S1hdzu9EX8KMzWIXm6qnYXFmNnoogwn4/El4XHC4NLkdx/eq6/RWoCFaiproKDXW1qK42AlCZN2MzljQtUc3zwzJCtfSm4QrgmG2OwdFzj8buDYUHuXj33e+iZdNzWQw77fgLzJx5UslOt/SjVmiWUFgu1oud5P+X2X9qvr5UM/tWHW1/qtIVSjimIxxLpOaMn+PynI5ITy9inV2Id3UjIXNPF5LSf1xqdoR6MG3F65jW1YL4tCSS0vK6VYMju+JTUYef1LR0wGkGnYM+eivQ46uE3+tOBZmpUFNCy4zwUoWdqdAyM8xU4WZOmGmGn86cvuUSyUR/YJkRWqoAMzWnA82M58xwM+9rmcslIojGU4FozvO61JjNmRZXxPHl6lh6YLQVISc+8x2C333pd0U5l3OheGtrKjxNhair1yCmwtQ10If4f+Cqrx80RNW8Y9skur29HStXrlR/Z+VvozQH5pRfICkjqHd2ItHZhURXJ8KtnXjvnQg+WO1BQjeaqcx0NmGb6H9R1fG5WkYt29lp9EmVZ3L4/aj+yldUQFqxeHFZ6NvD7ekwNV0jNRWsmrVUC9VKlSoBqkZqRtN+FaKmmvbLY63PuMlYqikWazeC04wm+5m1E2U7Tqcf1VX9wakEqC5XFaTG6scfX4m2zf9X9ZddW/MFbLvtjxEIzMm7e4muqApHe1/fCD3S38qudzcvWuvD2LC5SQWk+foXnTFjhvp/Y9Yalb9juZN8r5EwVGqHSh+hXa3d6GrrQtfmbkRCfdAcMWjSz7MjDod6jKmf5blAtZaefUHp+gHwBpLw+JNwuBOpADNiBJip8NIMNNPhZsbzsXgE8YSxfDIZhYYYNKnRX+LJ75iDf6xag6ccfhxWvwduPDL/d52nWjpUQPrS5q70HuxbG1QB6VemlbZMlfgQx3R1DErHlJ8bnwQCDEqLPInSVFRCGbkLaMfp9n+txBsrjVHv95hbj4sP3b6kDN1tYSMQbckORIe6UyphaMOcSjSowZWMUNTtmziB6FCAKz7biOZ1KzFt9rZYsM3Qg2a1rP4cby95Gu++tCS9yqlbzkk3r1eDfIyjqZgwM3OZoUJQKY/jYZJwtZhA1VwmN3gdD8dg1T6Mh6A037HKBaVZ47OjuRkdGzeis7VVPdcdDqMnmUSsiP4YtGQSvnAYrmgciRjQl3CiW/OhzRFEs7sG67xT0Y2BwUeD1Eg1+0rNaN6/NvoqlrU+i/c2v5Xe7fn183HU3KNUaFrlGbz7jCVLb0NH5wdwOH2YM+sg7LXDMVad5qztSFcDhQJV8/XcvtqG2mGHxweH24ekzE4vEk4vYg4vopoHYbgRSTiRCMeg90XgDPXCGepRj+5wCJ5wCN5ICBWxMCpifaiIG4/BWBiB1KO85pRBZUY4JTQHOqR2pzeIHl8Qvf5K9AWqEAlWIRasQryyBnpVNZI1NdBq6uCqrckOL3NCT487CbcrAaczDpczgaQWS9e0HDKwNMPHeCQ78MwJJTNrbuaGoCMkGPXbJHyRvhO9Lm+6D8WWUAsqY5Vo0H0IaToaPW04Ys4R+NUBvxr19sq5gnhLS05N1P7aqMno4APXuadPh9tsxp9TE7WYGoWjOaZPP/0U999/f9YqFi9ejMMPP3w0qx337zXCTmPWU0Gm+l0Fm/Jcf8CZuawEpYNN67Y4CGtnfwkRr9HXYk3Hp9hq7T8xZbMx6J6cS7mJFwoE1OyJRlHV1YW6s87EtB/9aEzN5GZJY09jf5ja2zSgiX9HpPCAolIrNbNpvxmkZgaqLhksbBRTd/d7RnAqAWrXCvT1rRuwtoqKbaDrMfT1rc16TfrE3HXX36ZrRUpIGF7Tht53N6rHhCOGdmcHOgMhdAd60BFuB5ISWCYgNS4dDvl8TqK6ugKVlX5UBL0IBKSWY1zVsIyGw4hHw4jFwkjEI0gkjBqXKow0g89U+FmoL/JREI3wrRocDo+adbihJ12IJVyIJpwIx50IxRxqjusuxHSXejTn+kArdqgd2OfshkY3fhV3Y4arAo+c+BxqUv83ZAdbojHVtF6a2K/pMz4fPQ4tPTjTbpXjuxb+CJFL+jYGpSXlnFArM6+pp02bplq/lmNatmwZampqsN1225Vj9eNinQxKC5yGUCiEH/3oR/joo4/UktOnT8dNN92E+vr6cXECrdgJqU3w2CMPY32jUUtx2tQpOP6rJ0LukA536mkPQ0aX70zVDjVGmTdqig42TZkVNGqJzqmC/Cw1RL3+0V1IDXe/rV6+s7MTMgqmGA/Wl+NHr/0bK5b8Axs//jC9ezss3k/VIN1ip3kl22UJtooNLoup1VmyHQNU5/ZerxdSo1Mei/k5c9m//vWvaG3NHhRozpw5OOSQQ1QtOKl1aj4O9rO8LmHuSCf5Azac2qu5YWu5/gCO9HgKvW8sglKp1WiGoIM9FhPQOZ1Oo9an348KTUNFLA5fbw/8HR3wtmyCZ8N6uFatHrRmkNgkHQ701NRjc+UUNAXqsNZTg8/d1WiqMH6XYC3f5PC0oWLqm3BU/Qe6ZnxeSsck86oPxr4zDsP+W3xR9Z86NWiEsJc9+l888mb2F8TfnrYQR80v/nM7rkuNy5zalqmalvJ8RL2WWQtzsNqZxT0fS8jXrwT8WkzN1XofqvUQgskIAojC54jD60ioWrtSe9cYIr3wZIbXEmD7+sIqyPbLz+E+9bP5nPzszhlUI+bxIeoLIO6vQNwfQCIQRCLgh56aExU+xJY+i6m9LmycMVPVOq7q7sbczz7Dkp+dimm77oQk4ojq/bUvBwsk8z2fWRuzUI2uwhIjX0Ka1KrA0pxdXnicnuznnAOfy10m6/dU+DnkMk4vpP/EzOm7t38X9S3912Bd7i7sf+z+OH7X40d+gGP8zlhjkwpRY9KMP1UDNbJmLSJr1yKh65DaxlmzQ4OuOeCaPh3OWbPgknnmDDhnzIBTnps2LTV4ZFLd4DZnNfBl6vfMn+W5fL8vX758wN9IoTrooIPU3125SZg5q+6KMp7L/D33NVluqNeHWpf53qH+/kkNXr3LqK2ZPXelgs7+4DMrEO3qr7U27GKhaXBWVUH6qpXZoR6r4Kwyfpef14bq8cHaANpTrd3rpvmw8NDZ2HZ+NR7+wYX4ZKst05ud3tSM0888AxWLxn+XSV3RLiNI7WlSjzJnNvWXmqkxPXvQolxfuTGiaqSmBp6SJv3yc2agWu2tHtZpiUY39QenqubpW0bfzuN80uCGprnhcHrhdBoBpUPzQEuFlWZoKc/Jz1nPp57Ler7Ac+ll1XLedCiqnlfPFe5jV0g3dUewuq0Xq1tDxmNbL95Z04Tz5l2DGRX9I9n39bnxv9vciCWhWgPIYJYyvdHRo2qPPtIkA1ca004VPhWQSvP6StfkqBBjRfFjUGqF8vjaxvvvv49rrrkGm1It4+R7ywknnIBvfetbJe/a6nvf+x7mzZuH8847b3whlHBvGJQWwPzjH/+Ip59+GnfccQeks+0LLrgAs2fPxtVXX13C0zC+V3XHb36Nxs0dRt9mGuBKJFAT8OPCywa/w93bEUk1kzdC0I7mvlRt0RD0jFFnM49cRhY3a4nWz5ZaohVFdX4/vvWGv3dPPPEE3nnnnfQbd9ttN/UhJ1NvR7uqPSrN68O9xoingarqVPP6o9TPMsXj8YLN0Yttrl5MgDSco8wNNIcTcmYGoeaXtOFsO3fZVatWqf/fZlgqzQqPPfZYNDQ0DGu18iUzM0jNF64O9dywNpazsJjkq6k61HPma/IH1OpJwnTxnjVrVkk2LbX9Bws/5YaDvC41GgtNUp7Mpu+DPcrfgEKT0ax/PaLr1xnN+tfLz9JX6kbVxF/6qxxq0gMV6KtrQGd1PVqCU7DeX6uC1I+1Kqz31SLqcMFV+R7cNUvhCn6SXpUemYFY5+5I9izEVF89GjvDqE42Ysu+lYg6vPjYtxdmVPshfUunw00VemaGnalAM/V8fJDP6kIG8rpbj/fX1syptWnU4syuySm/B+NhBKV2Z6pWpwScQ00Rrxdhny979vf/3uf3q24RIp5h9FumJaG74oi5Yoh4Ygi7Igg7wgg5Q+jVetGtdSPsDKs5oRnlapfmeuwY2j9rV929TXho3mvFUBW9jASGElTmCyjNGpeZYWbRQWYqsBxs3bKeofoelICtFLMZ1g21ro6ODjz66KMDzHbccUcsWLBAhYDFBICjCQ8He+9wt527n7nvL7pg2HjB9LhlySTk80LNug4toUNL6tD0JBzymPV64edUrcPX3QAAIABJREFU2OuS7lSM2el2w+H2wOlxw+Hxwun1wOn1wuH1wunzGbPfrx6LDY43bwxhzbttaNvQCy2pwRmMYbO7/zPdPK0Ld98TC/fcPdUnvtmvfvGPmaGy0a9+4blcRcoMUKWf1HQN1dTgUxKktkf6Ry4fbB+CniCmB6ZnB6g5gWruzZXcdXV1vY1lb54iHeoM2IyWqEI8piGua4gnNei6A0ndCT3pgK474XL54HUH4XZWwIkKJKNeRHo1NUf7gGTCjaTuQjLhgi6Panar3/0VAQSqKlBRHUSwxpgr6yrV7A9WZIWTRd8JLNfJKuF6n3pnIy5+eCn2nbEU070tmBZvwxLfx1jvdOL87U/COYv+R4WjMi/v6u/n+aj6GjVy/SFTJufAsyUkzrsqBqXlFh7++mVAuqbmJxGJNMPrqce0aUerrkBKMUk4etppp2GPPfbARRddpCpavfLKK6qCn3y3Pf/880uxmfQ6GJSWlHNirkwK3IEHHohzzjlHHcCzzz6rCtzzzz9ftqrM403q4l9ej3/vsAAbaowaHNO62rHPyv9iek+HGqFIVeoxv88mU5Wp5Hf1nFnlx3iUi0HNocHpcsLldqQenXA6HdAyaheYNQnkOTU4VOq1Yi7wRnJRONh6S7kucxtDrXPdunX497//PaAI7DB3a/RsXItN69cBDieSDif8NbWomNoAd6BiQP+cxQRDxZYz2d/BamqOJOQsdrtWLifBnYSGtbVj09fRaELW0XQ/IDVyh9NlQGb4Ku8d7vTkk0/irbeMJuRSdvbbbz8155skRMgXgEr4mfl8MfsgNXYLhaCyjBVToqsrO0CVAackTN2wQQWpyfDQAzNgaj0i9dPRU9eA5mAF3vc14sPKT7CxphebU4Nqx7t2w5HvtOLsV9ekD2ljnRPX7H0aPvfuVvAw5dNamqHXJCOoTUZRk4igRo+gKhFBZSKMSmmmHg8jEO1DIBqCNxqCL2I0Z5fZHe6DM6dmZsGN5lkg7Hci7HOgz+dAyAv0+oAeTxI9Hh09Xh29XqjnQ14NIZ/5M9Cb+j2aanigmm8nvPAlfMYc92X9nvmaWy++XCccCcTcMTjiDngSA8PYvoY++AI+uDSXqhXp1JxQ/+RRc8Jh/pPX4EwNdph+1qhtBzXcn/G3Uw2SZV0oOZxtjeT88j1DCxSqUSl/m5FIQJNZBqeLxaBJ6wZp/h2JpMNBhy4BYnZYKKGeKxCAM1ABV7ACrspKNTuDwaygT2qnyGdu7rTXXnup2inFBs56LIZELAY9GoX6OR6Hbs6JBHRzltquUsbNRwC61KZ1OHJq1DrU85zKI5B1TawGHC08GwO5jmQ2ahbLnISuap1G9Sii6lFq4kcR0cOI6BGE42HokBrW8hXD+KKh/mkZv2lJ+F1+BNx++N0BBNwBVHgq1Cwha9BTAa/Lh472a1A7JbvpfU9PHVa8dVQWanVgCgKOOjjDVUhs9iMeGrw7KxknQQ2alDF4kjGIkg9VU/xwusdXV1jlKT3513rRn3+M12q2Rqd7CpKJdmihV/AFjxvb7no1HtzYho64ceOx3uNKN6+f4x/b/pmt9CnHthiUlkN15OtM6GEsW3osekOfpVfi98/GXnv+DW630SXLaKYbbrgBr776qrqZnDkw6gMPPIC7774bUhFL+kc+/fTTcdZZZ6llpXudq666Cn/4wx/w3nvvqUpW0pxeaqAeccQRanc2btyIG2+8UbWulu/Ke++9N6644grkBqVLly7FLbfcogawW7hwIU499VTsuuuuozmkMX8va5QWOAVSSC688MJ0YZGLRvldCuFgTaLH/KyWeAcW/fVZrJ6a3VyzoasdX1kxMNAr8aa5uhEKyAfkcELMoZYdSSA2wt0es7fJxYQZCI/ZToxww/JHbbg1WM1gVmoej3SSMjZYlwH5arNK7d18NwEOPvhgZZ8biuYbECHfvkotz0Ih6EQabCve3GzUQDUDVFUrVWqnbkCsqb/ZWj6LhMuBpuokWquBXVdJranspT6b4UPPoi/C3SeBZh/cfWG4++QxAncoAndfFO6+GDx9QzePLKbMRNz9IaYEnEagCYR8Wn/AqZ7XjBBUvdb/uzw31GTWrsxtDp71e0ZTcVW7MqPmZL7lVM1JuJGMJKGHdSQiCcT6YmqOhCIIh8II9YYgXTlI+Sx1bftiXMfrMrkBSSlvMqpAUA1O6FAX8fkG4ausrMTMmTOzmnLnNu2eCL9n7uOoznUymT2olDTnX20MKiU3ZgabpJ9Mj+oHdY4aXOq9Zh2vVGYPxjY3HMTXTvlSVnP2vH12dvX375mUWv2atEqSm+LGY97f5VxrTqi+1VPLOYOVcASroFUE4awIwhGQuQIyAjz8MmqND/D5Aa8H8HiRdHsAt0fdUDYC2FTXA/Jo/ixBbObzUhPZ7KIg2f+aNNHW9czuClK/J1PLS1cG8nPqUZZV70nd0NBTIZ56TP3L97OuJdGrRdCm9Y+ibp6jQNKLYNKXencqIMwMBtNxobwjKz5MR4nmK+loMVXDISNqzFp2VGVvgrzZ7+/Gdtu/gerqZrXHEpJ+tvILcLVvBy1SjXi4Gu5YFbRkdrip+ZJw1STgrNHhqk7CXatDMg53LeCpNAJf+fsks3mza8jfZVn5l/mejOcy16dunGWsX70nz3NyU81cX779KFTjttSn8LnlD+PMrh2GXO2imqBqWn/ydHuOBVJqc1kfg9JyqPavc/Xq26Eni79e7u7+AK2tLwzYqSlTDkRV1fxh7ezcrX8wYPlvf/vb2H777fHDH/4w6zUJOs844wwVYu6888449NBD1evShY508Sd9jr/44ouqr9EpU6bg5ZdfxiOPPALpnk4GVT3llFNU5nXmmWeqm6P33HOPmjODUhnITsLVk08+Gfvvvz+WLFmCf/7zn/j73/8+oSsWMigdoljKhc9hhx2Gn/zkJ6owySQjf37nO9/Bvffeqy7KM5tID6uET6CFj2mJIuoaWMvmkvufgisWhcOpw+0DnD7A5ZERFuULjXFhaVxkGheUak7VFDBqqqRey3rOqElgvp5UF53GbFRRlTvO8pBRUzVdqcDssy53mXzLG2+Su9LpWq+DrDN7mfzLG8ukXsu7TmMfjNyifz/NX8190D1e6J6BNdtckT5MnToVtbNmw+V2q745JajKnDOfM79YTqBiNqa7Kl++5eLTDqFwJrTUPJawR2YxyPfzYK+NJmQt9mRnBrESvubO8vpYdB9Q7P6XfDmpOdbSomY0G4+ZM3r7m6yNZtsJhxFq9vqMENMIOFM1NdOBphFuRn0uRPwuxHxuxP1exAIe6H4vHC4P3JobHofRbNujGY/p5zS38by8bi5nPmcum/O+zPVILc2xnuT/hnQl8e6776IpT4i9zTbbqJsJZoho/OkyvkhPtp+tPBcvvfTSgFqOUsNRuk7hVISANE1vbITW1AStsUk9oqnR+Dmnz+7A/pejaWoNNjg2I6HpqNOD2CExE4muDarGqhlmDghAUyGnCjwlIJXf7ThJzUfJ2eT/vCN1zZn63Xhe7gAYr4f6wnhcew2xnNHFD4ktwFT3FGipG1/qSjh9E0yacfU36up/PqOll+me25NJvp5NMtYrvXhqUnszKdeuxj/ZX6n1qa7I012j9Iez6ro6FdaaO9kfERuv9i9j1CA1m6WlG6JlvN8Mcvvf0//+zG0ZezAwRM5aJoVjLvuucy3CWhROZ0ydnnjcDRecmNq8Dzo97ejytqLL14ZOnzymZm8bIq7Bx1SYaEXcDFnNYNVot2CErOqnzFYN5s+DPKfelwptM9chz61y7YKmmhMH8EgJONyr4Qivhp3G/k/6RDt9BfdXrk/kHE6kygIFD6rAAtJdnVWTBKWffX6jVZtLb2fOnPOxzdxLBmz3+OOPV03sv/nNb2a9JpVjjjnmGFULVFpJS1D605/+VAWa5iRZzYcffqhmacL/+OOPqxbU0n3ZlVdeCemKUsbwyJwyg9LbbrsN//rXv9JdU8p3xEsuuQS/+c1vsNNOO1luVKoNMigtICk1SqWfB3OEz9wapZdeemmpzsW4Xc+jh56MsGdgUHr6M08hmRzYJKtsByJ9TKmrHnlMRY5mgKqu34x2/+YycslkXBcZ/VYZV1Gp95rL53sutazxnv51ZK7b2Fb/NmU1eZ8rYh2Z+5f0+BDaOs8HyqZG9PhT7WrLBmzfFZvN1xkwD68MZNYiU/8HcprdZT5n1pTK3YKEtZmDi5j99vV/CRvePtl5aU8shspQH2q7W3DA2x8PoOis0LBshyqE3U5EZPa4EHW7EHG7EHO51c9Rpxu60w2H7oAj6YBTd6pH+d2ZdKafN1+zs7d57BLWS4ifOclFolycciq9gPnFTzXVTSZVH8RW3Lgp/ZGMvzU6dR1Vvb2pOYQDZ50CZ7D4AeCGOiIJqCRiM2bVgFrN6jepkZnzvLFE/ufT65HanAWWMbaWve30e9R2c/Ylz36m9nLA/qu/V0Ps93DOsB8eHONejI9dG9Ct9cEHN7ZNTMf7kUZ8hv5uVIazzrFZ1gjb5KrYuAZP/Zx6NJ5J9S6b6lLErCyQfp9KZFM3lNLvM9ebWoN6Pee5rPXm27axhbgjgR18NfjE+3kW0XbRrfDX2ieha4mMYNgMiDPD4lQwa4avqoZvznOp2sTqa0Y6ZB56XVnLqcocGcFyZtBrdj2Qesz3vmLWZVX5CFWfgN7qrwzY3M7NS7DwzU1W7YbttmPH7zbS/NyqabzVKJVuIrfddltcdtllWQRmjVIztJSg9LrrrlPN42WSFlIyBo8MIi1Bswxc/swzz0AspWn+nXfeieeee24Aa2ZQevnll+Ptt99W782czj77bOy7rzFQ20ScGJQWOGvSR6nUJpXqzDLZsY/SLz+5DCsqs4PSud0xvH7sXhOxzI/rfV719nI8cuvNiNVMRdLthhaLwd3RipMuuAhb777HuN73ibxzE7np/URx/+CDD1RTjtxJujKR/nA4lVbghSP3xqzPs0dvXn/6QTj0ittLuyGuTQlI1xEff/yxapYvrU2k+ROn8gpITQcJqDP74irvFu239o3/8zj0uNE/fXpK6mj43kJobgc0p9SUNPqel0c4+382n1PLsD/RogpP76cdaHr6c+hdEWg+F6r3noH6A1hTuii8YS509yOPY+oyJ2Ieo8KHOxZE49wozjlPBnmyx5TuNkLdrDBmI/zP+V1eU7WLja4m1Jzze973pdZz5wev4eHEogGoF/g/xhWLTrYH9hgcJZvejwH6EJvU9TCWLjsOvb0r00v5/Vum+ig1BmMezST9iEoXZ4899lhWC8n77rtPtYSWZvDSXVluUCpN5K+//vqsbiVlGQlKN2/ejGuvvRYPPvigatmaOWUGpbLsmjVrcOutt47mEMbdexmUFjgl0rmtpOryKIVLCoXdRr1vi8Vx9osfYoUzDl0Ddok5cfOibbBjbcW4K9CTYYdeffDPWP7s3xGPRODyerHHl4/Dvqf+r8lwaOP2GBiUWnNqXn/9dXXHUcKkuro6LF68WPWXw6n0Al1N6/DGLy6G69N10L0uuPfZGwdean0TodIf2fhdo9RqlM8S6S+TU/kFGJSW3zi6th0tv/1/gBZMbywwz4G6b+xT/o3beAsygJZ8jrCVS3kLwQvLX8WH769GQtex7XazcPQ+h5R3gzZe++Ln/4JV7v6BXbaOvYs3DjvdxiLlP3QGpeU3Hu4WEok+NDX/HdFICzyeqWUZ9X7BggWq2bv0KyrB6c0334zjjjtOdR0pU25QKt/NpHm9hJxSI/Tpp59WfZBK+CmZl1QaXLRoEc4//3x1Y/rPf/6zGq8nMyhdvnw5pFap1Ew98sgjVfdIMvD5nnvuqfo+nagTg9ICZ06qI0sVZql6LFNDQ4MqcPJot0maEcodw9wmhnZzsOp4G9etxYzZW1q1OVtvh0GpdadfmgJJwGGXwfCsk82/JQmlpe9dO/VRNVbmDEqtlWdQap13aFU7oqE+VG1dD0dgYFdM1u2JPbbEoNS68yz9OEr3HVIZhlN5BV5t+RQfbGrEvPqZ+GLDtuXdGNfOwZxsWAaki8hrrrlG9TNqTieeeCKkCbw5poMEpVKDVAJVmSTbkW4m5b0y7bjjjmqEe6mhOn/+fLz22muqqb58V5ZJ+oO/++67VSg6b948nHvuuep5GehcmunL56lMMtCurCO3b9OJdFoYlBZ5tuSiRQY7qa/PaYJU5Psnw2IMSq09i+3t7aitrbV2ozbdGoNS6048g1LrrGVLDEqt82ZQap21bIlBqXXe5mB/MgIup/ILMCgtv7G5BQal1lnLlvjdxjpv1ii1znq8bUkq+kmXUDKqvTmAaKF9bG1tVa0YpMVfvqmtrQ1erxfBYH8Lk9zlJHSV9UjljMlQIYZBaaFSw9fTAgxKrS0MvJiwzptBqXXWDEqts2ZQaq01g1JrvRmUWufNoNQ6a9kSg1LrvBmUWmfNoNRaawal1npza5NPgEHp5DunZTsiBqVlo827Ygal1nkzKLXOmkGpddYMSq21ZlBqrTeDUuu8GZRaZ82g1FprBqXWevO7jXXeDEqts+aWJqcAg9LJeV7LclQMSsvCOuhKeTFhnTeDUuusGZRaZ82g1FprBqXWejMotc6bQal11gxKrbVmUGqtN7/bWOfNoNQ6a25pcgowKJ2c57UsR8WgtCysDEqtZc27NQal1p0EBqXWWTMotdaaQam13gxKrfNmUGqdNYNSa60ZlFrrzaDUOm8GpdZZc0uTU4BB6eQ8r2U5KgalZWFlUGotK4PSMfZmUGrtCeBgTtZ5Myi1zlq2xKDUOm8GpdZZMyi11ppBqbXeDEqt82ZQap01tzQ5BRiUTs7zWpajYlBaFlYGpdayMigdY28GpdaeAAal1nkzKLXOmkGptdYMSq315mBO1nkzKLXOWrbEoNQ6bwal1llzS5NTgEHp5DyvZTkqBqVlYWVQai0rg9Ix9mZQau0JYFBqnTeDUuusGZRaa82g1FpvBqXWeTMotc6aQam11gxKrfXm1iafAIPSyXdOy3ZEDErLRpt3xbzrap03+yi1zppBqXXWsiUGpdZ5Myi1zppBqbXWDEqt9WZQap03g1LrrBmUWmvNoNRab25t8gkwKJ1855RHRAEKUIACFKAABShAAQpQgAIUoAAFKEABCgxTgEHpMMG4OAUoQAEKUIACFKAABShAAQpQgAIUoAAFKDD5BBiUTr5zyiOiAAUoQAEKUIACFKAABShAAQpQgAIUoAAFhinAoHSYYHZePJlMIpFIwOVy2ZnBkmOX/qmkT9hp06ZZsj07b0TK9KZNmyB9Z06fPh0Oh8POHDx2ClBgFALyd7K5uRkVFRWorKwcxZr4VgqMH4FQKATpp7Smpmb87NQk3ZNYLKauSRoaGni9XaZzLP1JD/ZdRuyDwSD8fn+Ztm6v1crfRJkHu7Ye6lzYS2r0RzvU93Tpr1TGvpgxYwY0TRv9xrgGCthAgEGpDU5yqQ7xySefxJ133gl55FQeAblAO++889DV1aU2IF9KTj/9dBx77LHl2aDN1/rggw/irrvuSivIhfE111yDXXfd1eYy5T38l19+WTlfccUVOPDAA8u7MZuu/Ze//CVefPHFrKOfNWsW7rnnHpuKlPewu7u7VZlevny52pB8htx0003l3agN17569Wp8+9vfHnDkTqcTzz33nA1FynvIEvr//Oc/x6effqo2JF+yf/jDH2LnnXcu74Ztuna5xn744YfTR3/++efjhBNOsKlGeQ577dq1+Na3voV7770XM2fOTG9EPlsuueSS9PX3okWLcOWVVzKsHsVpkOBODGX62c9+NmBNg52LUWzS1m8d7Hv6BRdcgI8++kjZeDweHHTQQbj00kttbcWDp0AxAgxKi1Gy+TJr1qzBD37wAzV6sgRJDErLVyBaWlrwxBNP4LjjjlM1kuRC7h//+Id6jne3S+8uZVnC6D333BNyV/uyyy5Ttab/+Mc/ln5jXKMSkIu1Cy+8UDkzKC1fofjFL36BDRs2ZF0M+3w+VWuaU2kF5Mvg17/+dVVL4xvf+AYOOOAA9PT0qBphnEorIJ/T69evz1rpQw89hGXLluGxxx4r7ca4NvU3UW7c3nrrrapG2FVXXYXW1lb87ne/o06JBV555RVcffXVyvzggw9W13633XYb7rjjDsydO7fEW7Pn6qTiQVNTkzr43KBUKikEAgF1w6uxsRESUsvMigojKyvPPvusKr9SE33x4sUDgtKhzsXItmjfdxX6ni6f34cffji23HJLvPHGG7j22mtx4403Yv78+fZF45FToAgBBqVFINl9EfliIhfGL7zwAh555BEGpRYWiHXr1uGb3/wmpHbYHnvsYeGW7bkpqSkjTfDlAoJT6QWkxrTU5Dj77LNx++234/LLL2eN0tIzqzVKUCpdeMhnB6fyCkjNXXGWGyxz5swp78a49iwBCaRPPPFEBhplKhdnnnkmpCa6hEcyPf7446pWOm+Ylx5cPkP++9//4oEHHkiv/Gtf+xqOPvponHHGGaXfoA3XKDWkJSiV2nSZQan8rZTPkeuuuw4LFy5UMlKTWpaXkInT8AWkuw65yXLzzTfD6/UOCEoHOxfD3xLfMdzv6RL+H3XUUTj33HOJRwEKDCHAoJTFo2iBZ555Br///e95gVy02OgXlBoyYi5Nserq6ka/Qq4hr8Df/vY3SHNwCabl4ninnXaiVIkFpH8kCUilOZs0AzriiCMYlJbYOHN1EpRKzYF58+apWtPS1GqvvfYq4xbtu2oJOOTzQ3yl+aZ8Vp911lnYfffd7Yti0ZHLDRcJquUmrjS/51RaAfMmgDS1l5Yuv/3tb3HKKadAAjxOpRWQQOnNN9/E/fffn16xtOaSVgA//vGPS7sxG69NAjqp+Z8ZlK5cuRLf+c53VEhdX1+vdOT1JUuWZAXXNmYb8aFLk3sJ8vI1vc93Lka8Ib4RxXxPN7uv+clPfqKuCzlRgAKDCzAoZekoWqCYD+CiV8YFCwp88skn+P73v6/u+kmwxKl8AvIFRWpySEfn8oVk7733Lt/GbLhmaZps9od0ww03qCbKDErLWxCkxteqVasgze0/+OADNV988cX48pe/XN4N23DtEmZI07eTTjpJDcAnX65XrFiBP/zhD9h6661tKGLNIUtLl1NPPVU1VT700EOt2ajNtiLdHEj5nj17tuo2RcLoX//619huu+1sJlH+w3377bdV/6/77befugaR/hvlJu6+++7LoLSE/PnCOfm8ls+RRx99FNXV1WprUkFBQmvWnh4dPoPS0fkN592FvqdLCwxp1SVdTPzpT3/i4LXDweWythRgUGrL0z6ygy70ATyytfJd+QTky4n0jSQ1G6VmGEdit6acSO3dp556Ck8//bQ1G7TJVswvJtJPlfS9K5N05bHDDjuoZoUSmnIqr4B0cyDNC9m3YOmdJUiSQW7EWCbpvuOYY47Baaedpvou5VQeAfnb+N577+G+++7jKL7lIVbl94tf/CK++93vQgYskz5K33//ffU3kjV4S4/++uuvq4BOrCWMfumll1TtRza9L501a5SWzrKYNTEoLUapNMsM9T1dWnVddNFFaGtrUzdxa2trS7NRroUCk1iAQekkPrmlPjQGpaUWzb8+GV1WBruRPklltEh+GbHGXbYiNcGkxqOMnkz30rlLX1V/+ctfslYoNTekLzCpMb3//vuXbmNcU14Bs9b03XffTaESC8hnxmeffZYOoSUoPfLII3HyySerJvicSi9g9t8twd0+++xT+g1wjWpAMhlxXW4AHHLIIUpEgmn5si1N8LfffnsqlVFg+fLlyl5q8O6yyy5l3JK9Vp0vKDX7KL3++uuxYMECBSIDa8kAq+yjdHTlg0Hp6PyG8+7BvqdLX7HyvTISiagBthiSDkeVy9pZgEGpnc9+kccuzWalfxn5AJaq+tJvptRwZJBUJOAwFpOmbdLMXi7U5FGaKMskzSTYR+kwIItcVC4YpFnbjjvuqAYsk2b30lSZo94XCTiKxdj0fhR4Rbz1pptuUqP1yuBCH374oWrSefzxx0NG9uVUWgGzyazc2JImszLgzZ133olbbrkF0rcjp9ILSIAkIcZdd91V+pVzjWkB+cyQ2tLSD69ch8gNl//85z/sE7ZMZURCvClTpkD6zJSgTq77GNSVDlu+y8iI9jJIqlznbbHFFnC5XGoD55xzDiorK1U/9TLgk/RZKrP0zctp+AJywzCRSKhyLI9yU0usze81Q52L4W/N3u8Y6nu6VFSQGulyPmRQvmAwqLDke/zMmTPtDcejp0ABAQalLCIFBaSGozQDz5yktiNHUy5IN+wFJIyWLyK5E72HTVnUG6644gosXbo0vayM7isXddIfG6fyCjAoLa+vNJmVIMmcvvCFL+CnP/2puhHAqfQCEtg9+OCD6RVLIP3Vr3619BviGlVfmXIjMXOEarKUR0Ca2UszTenjWG6Oz507V91smT9/fnk2aPO1mp/bYi19lUrf3jJiOKfSCMh1h4R25uTxeNJdLUmf3lJbure3V70sfzMl3HO73aXZuM3W8tBDD6nKNZmTjLJ+4oknqqeGOhc2oxr14Q71Pd2sQZ27kcyyP+od4AooMEkFGJRO0hPLw6IABYoTiEajkAsJucvK5ijFmXGpiSEg/dxt3rwZDQ0N8Pv9E2OnJ/BehsNhbNq0SdXAM2spTeDD4a5TIC0gzfClBlhNTQ1VyiggA0pKX4LyGWLWvCvj5rjqPAJyPSh9qZs174hEAQpQgAL2FGBQas/zzqOmAAUoQAEKUIACFKAABShAAQpQgAIUoAAFMgQYlLI4UIACFKAABShAAQpQgAIUoAAFKEABClCAArYXYFBq+yJAAApQgAIUoAAFKEABClCAAhSgAAUoQAEKUIBBKcsABShAAQpQgAIUoAAFKEABClCAAhSaCp4tAAAHnklEQVSgAAUoYHsBBqW2LwIEoAAFKEABClCAAhSgAAUoQAEKUIACFKAABRiUsgxQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACthdgUGr7IkAAClCAAhSgAAUoQAEKUIACFKAABShAAQpQgEEpywAFKEABClCAAhSgAAUoQAEKUIACFKAABShgewEGpbYvAgSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGJSyDFCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK2F2BQavsiQAAKUIACFKAABShAAQpQgAIUoAAFKEABClCAQSnLAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKGB7AQalti8CBKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUYlLIMUIACFKAABShAAQpQgAIUoAAFKEABClCAArYXYFBq+yJAAApQgAIUoAAFKEABClCAAhSgAAUoQAEKUIBBKcsABShAAQpQgAIUoAAFKEABClCAAhSgAAUoYHsBBqW2LwIEoAAFKEABClCAAhSgAAUoQAEKUIACFKAABRiUsgxQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACthdgUGr7IkAAClCAAhSgAAUoQAEKUIACFKAABShAAQpQgEEpywAFKEABClCAAhSgAAUoQAEKUIACFKAABShgewEGpbYvAgSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGJSyDFCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK2F2BQavsiQAAKUIACFKAABShAAQpQgAIUoAAFKEABClCAQSnLAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKGB7AQalti8CBKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUYlLIMUIACFKAABShAAQpQgAIUoAAFKEABClCAArYXYFBq+yJAAApQgAIUoAAFKEABClCAAhSgAAUoQAEKUIBBKcsABShAAQpQgAIUoAAFKEABClCAAhSgAAUoYHsBBqW2LwIEoAAFKEABClCAAhSgAAUoQAEKUIACFKAABRiUsgxQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACthdgUGr7IkAAClCAAhSgAAUoQAEKUIACFKAABShAAQpQgEEpywAFKEABClCAAhSgAAUoQAEKUIACFKAABShgewEGpbYvAgSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGJSyDFCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK2F2BQavsiQAAKUIACFKAABShAAQpQgAIUoAAFKEABClCAQSnLAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKGB7AQalti8CBKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUYlLIMUIACFKAABShAAQpQgAIUoAAFKEABClCAArYXYFBq+yJAAApQgAIUoAAFKEABClCAAhSgAAUoQAEKUIBBKcsABShAAQpQgAIUoAAFKEABClCAAhSgAAUoYHsBBqW2LwIEoAAFKEABClCAAhSgAAUoQAEKUIACFKAABRiUsgxQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACthdgUGr7IkAAClCAAhSgAAUoQAEKUIACFKAABShAAQpQgEEpywAFKEABClCAAhSgAAUoQAEKUIACFKAABShgewEGpbYvAgSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGJSyDFCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK2F2BQavsiQAAKUIACFKAABShAAQpQgAIUoAAFKEABClCAQSnLAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKGB7AQalti8CBKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUYlLIMUIACFKAABShAAQpQgAIUoAAFKEABClCAArYXYFBq+yJAAApQgAIUoAAFKEABClCAAhSgAAUoQAEKUIBBKcsABShAAQpQgAIUoAAFKEABClCAAhSgAAUoYHsBBqW2LwIEoAAFKEABClCAAhSgAAUoQAEKUIACFKAABRiUsgxQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACthdgUGr7IkAAClCAAhSgAAUoQAEKUIACFKAABShAAQpQgEEpywAFKEABClCAAhSgAAUoQAEKUIACFKAABShgewEGpbYvAgSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFGJSyDFCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK2F2BQavsiQAAKUIACFKAABShAAQpQgAIUoAAFKEABClCAQSnLAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKGB7AQalti8CBKAABShAAQpQgAIUoAAFKEABClCAAhSgAAUYlLIMUIACFKAABShAAQpQgAIUoAAFKEABClCAArYXYFBq+yJAAApQgAIUoAAFKEABClCAAhSgAAUoQAEKUIBBKcsABShAAQpQgAIUoAAFKEABClCAAhSgAAUoYHsBBqW2LwIEoAAFKEABClCAAhSgAAUoQAEKUIACFKAABRiUsgxQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACthf4/51bTb/JsE5AAAAAAElFTkSuQmCC" }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -15279,7 +13362,7 @@ " openDigger.render.plotly(data.filter(row => row.name != 'Others').map(row => {\n", " return {\n", " x,\n", - " y: row.resolution_duration,\n", + " y: row.avg,\n", " mode: 'scatter',\n", " name: row.name\n", " };\n", @@ -15304,7 +13387,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -15329,18 +13412,18 @@ "12" ], "y": [ - "1162394", - "1598795", - "1779678", - "1831517", - "2014156", - "2545341", - "2398616", - "2791240", - "2803901", - "3479588", - "2542164", - "3569140" + "2383887", + "2604160", + "3119088", + "3109499", + "4191380", + "4367453", + "5048981", + "5862848", + "4539429", + "5755805", + "5326065", + "5927599" ] }, { @@ -15361,18 +13444,18 @@ "12" ], "y": [ - "831239", - "1527807", - "1348798", - "2223405", - "1868204", - "2560063", - "2355451", - "2302534", - "2980318", - "3514467", - "2119309", - "2252232" + "834619", + "1529489", + "1350309", + "2224819", + "1870481", + "2562232", + "2356269", + "2304632", + "2985440", + "3552988", + "2120673", + "2253758" ] }, { @@ -15393,23 +13476,23 @@ "12" ], "y": [ - "1431519", - "1204820", - "1212429", - "890767", - "914201", - "1233490", - "912213", - "1110572", - "870493", - "895914", - "730075", - "543706" + "1432956", + "1210201", + "1214392", + "892253", + "915269", + "1238726", + "913196", + "1112627", + "872499", + "896080", + "732846", + "544350" ] }, { "mode": "scatter", - "name": "Docker", + "name": "Samsung", "x": [ "1", "2", @@ -15425,23 +13508,23 @@ "12" ], "y": [ - "478156", - "319175", - "323762", - "341626", - "724172", - "695523", - "739840", - "245706", - "906175", - "423298", - "442550", - "498501" + "3", + "81", + "3906", + "14508", + "50234", + "48510", + "199695", + "222139", + "56221", + "130087", + "173233", + "505873" ] }, { "mode": "scatter", - "name": "Databricks", + "name": "Docker", "x": [ "1", "2", @@ -15457,23 +13540,23 @@ "12" ], "y": [ - "248354", - "151273", - "408389", - "438656", - "344670", - "555711", - "333989", - "340463", - "149324", - "225859", - "356272", - "446538" + "478746", + "319186", + "323928", + "341874", + "724227", + "698731", + "739971", + "245807", + "906236", + "423448", + "442602", + "499928" ] }, { "mode": "scatter", - "name": "Meta", + "name": "Twitter", "x": [ "1", "2", @@ -15489,23 +13572,23 @@ "12" ], "y": [ - "133247", - "276601", - "458455", - "564693", - "320576", - "412348", - "453139", - "326346", - "391441", - "419008", - "641714", - "443757" + "177012", + "244022", + "93315", + "406888", + "228372", + "141359", + "310841", + "215402", + "349972", + "147866", + "150505", + "498032" ] }, { "mode": "scatter", - "name": "Elastic", + "name": "Databricks", "x": [ "1", "2", @@ -15521,23 +13604,23 @@ "12" ], "y": [ - "0", - "0", - "85136", - "174221", - "255393", - "282019", - "317773", - "490287", - "455074", - "374522", - "424392", - "369605" + "263659", + "153861", + "408917", + "464816", + "346450", + "569995", + "357208", + "344125", + "205064", + "226407", + "358832", + "470081" ] }, { "mode": "scatter", - "name": "Mapbox", + "name": "Meta", "x": [ "1", "2", @@ -15553,23 +13636,23 @@ "12" ], "y": [ - "352896", - "329749", - "145069", - "184045", - "116039", - "270387", - "299992", - "616245", - "280175", - "401033", - "184302", - "313240" + "133367", + "276616", + "474406", + "565900", + "323912", + "414747", + "513689", + "344117", + "394870", + "422678", + "644606", + "446332" ] }, { "mode": "scatter", - "name": "Odoo", + "name": "Elastic", "x": [ "1", "2", @@ -15585,23 +13668,23 @@ "12" ], "y": [ - "266840", - "194854", - "225459", - "310295", - "141746", - "289532", - "231310", - "285762", - "191752", - "264825", - "167547", - "267257" + "0", + "0", + "85192", + "174823", + "256740", + "282059", + "324525", + "490287", + "455094", + "381986", + "424917", + "370661" ] }, { "mode": "scatter", - "name": "VMWare", + "name": "Mapbox", "x": [ "1", "2", @@ -15617,18 +13700,18 @@ "12" ], "y": [ - "333881", - "185544", - "357024", - "231839", - "261557", - "292101", - "259595", - "315385", - "220356", - "496666", - "244947", - "229778" + "352896", + "329749", + "146961", + "184114", + "116043", + "270387", + "304203", + "635520", + "280234", + "401308", + "184437", + "313328" ] } ], @@ -15640,24 +13723,24 @@ "xaxis": { "autorange": true, "range": [ - -0.6553688682889148, - 11.655368868288916 + -0.6621561421093662, + 11.662156142109366 ], "type": "category" }, "yaxis": { "autorange": true, "range": [ - -294540.67961165047, - 3863680.6796116503 + -489170.79126213596, + 6416769.791262136 ], "type": "linear" } } }, - "image/png": 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" + "image/png": 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" }, - "execution_count": 12, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -15695,14 +13778,14 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The new contributors for docker/docker.github.io in 2016Q4 are:scottlaw1,clemenko,cifkao,krerkkiat,rutsky,Samureus,buzzedword,wallyqs,sergei-solomonov,ezeeetm,buuren,troy0820,yuj,delitescere,Lorel,kurochan,mlaventure,stefanwuthrich,shin-,lbausch,IRus,pschultz,sicwolf,yangyuqian,ananthulasrikar,mrburrito,ankon,dvoytik,forkbomber,sixeyed,thaxy,tophj-ibm,michael-wise,andrestc,cavemandaveman,Kukunin,spasarok,mazerty,magnus-lycka,wallaceroque,aimichal,miaoyq,jefferybradberry,nilsotto,alexisbellido,ceharris,joaofnfernandes,dsheets,davidwilliamson,PeterDaveHello,RichardScothern,marcaurele,mischah,dhauenstein,joshdover,konstruktoid,holtkamp,sixcorners,luojie233,MWeesenaar,tealtail,SchulteMarkus,gurubelli,burik666,emcniece,yuexiao-wang,alexandair,jtakkala,londoncalling,MaximeHeckel,jaredrcarlson,dansef,clnperez,emalloy,ivanperez-keera,herrphon,shaynewang,athend,andrewhsu,aaronlehmann,friism,rvernica,akirakoyasu,aboch,thomas-bauer,willseward,nguse,mozillalives,programmerq,candita,wrrn,danshumaker,alternatekev,DavidRabel-b1,wluxion,blakethepatton,milindchawre,gbzhu,crunchywelch,therobinkim,dmcgowan,lack3r,afrazkhan,guillaumeguerin,donaldali,cpuguy83,tanertopal,rca,trapier,tonistiigi,kamotos,dusek,etki,xianlubird,amincheloh,andrewsomething,rillig,joelemmer,nVitius,fbouliane,xcellardoor,thaJeztah,dnephin,sanscontext,weslord,lslezak,twang2218,gdevillele,tf2manu994,stevensona,dragonndev,benizi,4c74356b41,aureliojargas,caarlos0,dankeder,appleboy,czerasz,aanand,banjot,lawliet89,anokun7,rhencke,dave-pollock,MicahZoltu,riyazdf,SCBuergel,liubin,u-foka,dongyuzheng,cdituri,StefanScherer,FrenchBen,rogererens,frdmn,solotech,vsaraswat,michelvosje,char101,BSWANG,fresnizky,WeiZhang555,jenglamlow,SRaddict,toolchainX,charlescva,ry4nz,robeerob,vishesh92,bfirsh,znz,KevinTangy,ntwrkguru,drlukeangel,dgellow,valll94,stefanlasiewski,dgvigil,hernandesbsousa,alexbaumgertner,gokaygurcan,ddc67cd,ashishg-qburst,vonProteus,stewx,danix800,davidmichaelkarr,johndmulhausen,tim-zju,seeekr,BSCheshir,SachinKSingh28,Varentsov,hsluoyz,pkennedyr,samwagg,QwertyZW,sanjay-varanasi,aduermael,rothrock,ahmetalpbalkan,svekars,vishalkdotcom,RStrydom,v4n,bbayani,mbentley,ryanore。\n" + "The new contributors for docker/docker.github.io in 2016Q4 are:trapier,dvoytik,mbentley,sanscontext,stewx,holtkamp,solotech,xcellardoor,cavemandaveman,miaoyq,rhencke,tf2manu994,jenglamlow,v4n,DavidRabel-b1,londoncalling,lack3r,rutsky,ankon,alternatekev,BSCheshir,tonistiigi,amincheloh,thaJeztah,mischah,guillaumeguerin,yuexiao-wang,SachinKSingh28,znz,sergei-solomonov,KevinTangy,donaldali,kurochan,rogererens,u-foka,dnephin,SRaddict,mozillalives,dgellow,aureliojargas,spasarok,RStrydom,stefanwuthrich,yuj,emalloy,fresnizky,aanand,michael-wise,clemenko,buzzedword,benizi,shaynewang,dave-pollock,mazerty,danix800,dhauenstein,RichardScothern,lslezak,alexandair,emcniece,dgvigil,stevensona,tim-zju,samwagg,akirakoyasu,tophj-ibm,rvernica,joaofnfernandes,candita,ivanperez-keera,IRus,programmerq,mlaventure,dusek,jtakkala,appleboy,MWeesenaar,johndmulhausen,lawliet89,gurubelli,kamotos,delitescere,Lorel,SchulteMarkus,willseward,QwertyZW,czerasz,sixeyed,crunchywelch,yangyuqian,nilsotto,caarlos0,MicahZoltu,davidmichaelkarr,mrburrito,shin-,StefanScherer,banjot,andrewhsu,jefferybradberry,toolchainX,anokun7,blakethepatton,clnperez,stefanlasiewski,valll94,FrenchBen,charlescva,nguse,aaronlehmann,joshdover,afrazkhan,dansef,dongyuzheng,hernandesbsousa,ry4nz,athend,aboch,luojie233,cpuguy83,cifkao,Varentsov,BSWANG,rillig,friism,gbzhu,alexbaumgertner,svekars,aimichal,weslord,bbayani,seeekr,ntwrkguru,rothrock,pschultz,aduermael,MaximeHeckel,dragonndev,ezeeetm,sixcorners,cdituri,bfirsh,scottlaw1,milindchawre,pkennedyr,PeterDaveHello,Samureus,vishalkdotcom,rca,fbouliane,lbausch,thomas-bauer,andrewsomething,ryanore,troy0820,vsaraswat,marcaurele,danshumaker,dankeder,magnus-lycka,michelvosje,andrestc,therobinkim,joelemmer,robeerob,gokaygurcan,wallaceroque,frdmn,wallyqs,gdevillele,tanertopal,dmcgowan,twang2218,thaxy,krerkkiat,sicwolf,hsluoyz,liubin,tealtail,herrphon,ashishg-qburst,ananthulasrikar,vishesh92,alexisbellido,Kukunin,riyazdf,vonProteus,nVitius,davidwilliamson,forkbomber,jaredrcarlson,ceharris,4c74356b41,wrrn,buuren,dsheets,konstruktoid,SCBuergel,burik666,ahmetalpbalkan,WeiZhang555,char101,wluxion,xianlubird,drlukeangel,etki,sanjay-varanasi,ddc67cd。\n" ] }, { @@ -15743,7 +13826,7 @@ }, { "mode": "scatter", - "name": "Alluxio/alluxio", + "name": "kubernetes/kubernetes", "x": [ "1", "2", @@ -15751,15 +13834,15 @@ "4" ], "y": [ - "45", - "61", - "35", + "121", + "110", + "118", "131" ] }, { "mode": "scatter", - "name": "kubernetes/kubernetes", + "name": "Alluxio/alluxio", "x": [ "1", "2", @@ -15767,10 +13850,10 @@ "4" ], "y": [ - "120", - "108", - "119", - "130" + "45", + "61", + "35", + "131" ] }, { @@ -15878,8 +13961,8 @@ "xaxis": { "autorange": true, "range": [ - -0.1785510553337136, - 3.1785510553337137 + -0.17994899585591334, + 3.1799489958559133 ], "type": "category" }, @@ -15893,9 +13976,9 @@ } } }, - "image/png": 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}, - "execution_count": 13, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -15925,14 +14008,14 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "The new contributors for Microsoft/azure-docs in 2016Q4 are:ltian,pareshmu,Jonathan Tuliani,John Lian,Rebecca Agiewich,Jeremy Alles,Carl Rabeler,Ralph Squillace,Digvijay Makwana,bscaspar,Adarsh Solanki,ranjan-ranjan,dagiro,Rajesh Nagpal,Richard Rundle,Ryan Wike,Alex Oancea,Tom FitzMacken,Tim Lovell-Smith,Eric Hexter,Nitin Mehrotra,Cephas Lin,randycampbell,Peter Taylor,MikeRayMSFT,Jason Tucker,Kevin Rexroat,Sean McKenna,vkonev,rjmiller,Bryan Lamos,Nicole Berdy,Cheryl McGuire,Ross Gardler,Anthony Chu,Chris Pietschmann,wshirey,Adam Kinney,Mattias Karlsson,Dominic Betts,Peter Horst,Blomart Cédric,Samuel Chan,Dan Rediske,Pirmin Felber,Jeff Stokes,soeren-lubitz,Ryan Jones,ShawnJackson,Guilherme Caminha,Chris Livermore,Takekazu Omi,jtaubensee,seguler,Rajani Janaki Ram,Bill Anderson,v-derekg,mybayern1974,Iain Foulds,Theano Petersen,Roeland Nieuwenhuis,Mimi Gentz,Kris Crider,TomArcher,Sreedhar Pelluru,rverschuur,Bill Gibson,Ninar Nuemah,Iain Shepherd,JT,Dhanashri Kshirsagar,Tamra Myers,Rob Boucher Jr,Vishesh Oberoi,Aravind Ramachandran,Nikola Stjelja,Nitin Soneji,Tom Kerkhove,brendalee,Alpa Kohli,anhashia,Peter Tirrell,Beatrice Oltean,Kevin Lam,Sean Feldman,,Richard Diphoorn,Ken Cenerelli,Cole Mickens,Andy De George,justintian,Gaurav Mantri,Michael Hauss,mattglabelle,Kristine Toliver (Aquent LLC),Juergen Thomas,Alvaro Dias,Jose Rojas,Szymon Wylezol,Stephen Reindl,Barclay Neira,Jason Boeshart,Julien Corioland,Soren Dreijer,HannibalSII,Steven Follis,jkewley,Aleksandar Nikolić,CarlRabeler,Bharat Kumar Bellamkonda,misteed-msft,Mahesh V S,Devendra Tiwari,rakshitatandon,Mimi Xu,Mark Paluch,Kelly Gremban,vitorfariatomaz,Ericgre,symphonyeyc,Bruce Johnston,yongjun tian,Scott Weldon,Vivek,Adrian Hall,Jakob Gottlieb Svendsen,Elizabeth Oldag,Kevin Williamson,bb-froggy,Priya Mohanram,neilpeterson,Itay Sagui,husamhilal,Andre Price,Heath Lawson,Byron Tardif,Jennifer Hubbard,Ryan Pangrle,krexroat,Saurya Das,Brendan Burns,charwen,Abhishek Narain,Nicholas Romyn,Vitaliy Konev,Goran Condric,Olivier Martin,curtand,RossAdams,itechedit,Yufei Huang,rotycenh,Michael Schnyder,Catherine Watson,JeffGoldner,Michael Friis,Zim Kalinowski,Matt Patterson,Andre Della Monica,Fabio Cavalcante,Raghuram,alkohli,Arseny Kravchenko,Juliako,Steve Stein,Khoa Dang,markgalioto,Andrew Hoh,Bill Mathers,Joseph Guadagno,Doug Vanderweide,Steve Danielson,Jason Groce,Alan Cameron Wills,Jairo Cadena,“jomolnargit config --global user.email v-jmoln@Microsoft.comgit config -listcd techcontentgit config --global user.name “jomolnar,Sajay Antony,Ahmet Gyger,Chen Jiang,John Kemnetz,Julia Kornich,Sean Wheeler,Mikkel Mork Hegnhoj,Ryan,Brad Severtson,Namgyal Dolker,Chipalo Street,Caro Caserio,Brian Wren,Carolyn Gronlund,Markus Vilcinskas,PeterSelchDahl MVP,SyntaxC4,nftw,Thomas Lin,Robin Shahan,Jim Dial,gxy001,Liza Poggemeyer,daveirwin1,Aditi Gangwar,Don Glover,John Call,David Marek,tfitzmac,ajith-k,Gary Ericson,Deepak Singh Dhami,arramac,Duncan Mackenzie,Andy Pasic,Faiz Shaikh,Sarah Weldon,Chacko Daniel,Elio Damaggio,Daniel Dobalian,Gopi Kumar,Lukas Kabrt,Jon Galloway,Sharon Lo,Cynthia Nottingham,Larry Franks,kriscrider,Dan Lepow,James Dunn,Richard Li,Padma Chilakapati,António Sérgio Azevedo,Manu Aery,Tyson Nevil,Ryan W,Simon Rolfe,Radu Matei,Andrew Westgarth,Anthony Watherston,Barbara Kess,Seth Manheim,AnthonySteven14,Nathan Bijnens,Alejandro Guerrero Gonzalez,wesmc7777,sedusch,Jarrett Renshaw,Ying Hua,Alessandro Segala,Amit Bapat,Rob de Jong,Prateek Sharma,Benjamin Talmard,HeidiSteen,Barcex,Allen Clark (VS),Katie Cumming,Sebastian Max Dusch,a-tan,Eric Jarvi,carlosbourque,Matthew Harris,mumian,andreyse,Joseph Molnar,rickstercdn,Ted Way。\n" + "The new contributors for Microsoft/azure-docs in 2016Q4 are:Padma Chilakapati,Radu Matei,Duncan Mackenzie,tfitzmac,gxy001,Michael Schnyder,Ryan Pangrle,Brian Wren,alkohli,v-derekg,Elizabeth Oldag,Deepak Singh Dhami,Doug Vanderweide,Richard Li,Adarsh Solanki,Ralph Squillace,Digvijay Makwana,Ericgre,Ted Way,Alvaro Dias,Andy Pasic,yongjun tian,Nicholas Romyn,Joseph Molnar,Bill Gibson,brendalee,Blomart Cédric,Stephen Reindl,ajith-k,HeidiSteen,Jason Groce,ltian,Julia Kornich,Mahesh V S,John Kemnetz,Rob Boucher Jr,carlosbourque,Cheryl McGuire,arramac,Vitaliy Konev,Jennifer Hubbard,Tom FitzMacken,Khoa Dang,Carl Rabeler,Chipalo Street,TomArcher,andreyse,Faiz Shaikh,Prateek Sharma,Andrew Hoh,Chris Livermore,rickstercdn,Priya Mohanram,Alex Oancea,David Marek,Julien Corioland,Nikola Stjelja,Zim Kalinowski,Kevin Lam,Richard Rundle,Robin Shahan,Steve Danielson,Sean Wheeler,Dan Lepow,Nicole Berdy,Vivek,bscaspar,Jarrett Renshaw,Theano Petersen,Heath Lawson,Jon Galloway,Sharon Lo,Matt Patterson,Steven Follis,António Sérgio Azevedo,Michael Hauss,Dominic Betts,neilpeterson,Rob de Jong,Joseph Guadagno,Aditi Gangwar,Alejandro Guerrero Gonzalez,Kevin Williamson,Yufei Huang,Ahmet Gyger,Benjamin Talmard,bb-froggy,Ken Cenerelli,Mark Paluch,Rajesh Nagpal,Barclay Neira,Ross Gardler,Dan Rediske,ranjan-ranjan,Anthony Chu,Dhanashri Kshirsagar,Sreedhar Pelluru,ShawnJackson,Ryan Jones,Guilherme Caminha,Seth Manheim,Scott Weldon,Fabio Cavalcante,Gary Ericson,Sean Feldman,Elio Damaggio,Nitin Soneji,Barcex,Mimi Gentz,nftw,Kevin Rexroat,Aleksandar Nikolić,Barbara Kess,Caro Caserio,Chacko Daniel,Liza Poggemeyer,Juergen Thomas,Catherine Watson,Arseny Kravchenko,Ryan,Gaurav Mantri,Byron Tardif,Nathan Bijnens,Jason Boeshart,CarlRabeler,Juliako,Carolyn Gronlund,Namgyal Dolker,Katie Cumming,Kristine Toliver (Aquent LLC),Itay Sagui,vitorfariatomaz,Jeremy Alles,Andy De George,mybayern1974,Simon Rolfe,Mattias Karlsson,Beatrice Oltean,rotycenh,John Call,Cephas Lin,James Dunn,wshirey,Raghuram,itechedit,Chen Jiang,Jonathan Tuliani,Thomas Lin,Ying Hua,Jeff Stokes,rjmiller,daveirwin1,charwen,justintian,Alpa Kohli,rverschuur,seguler,symphonyeyc,mumian,Nitin Mehrotra,Devendra Tiwari,Brad Severtson,Anthony Watherston,Takekazu Omi,Chris Pietschmann,Matthew Harris,Bharat Kumar Bellamkonda,RossAdams,Ryan W,Alan Cameron Wills,Tom Kerkhove,Ninar Nuemah,curtand,Michael Friis,kriscrider,SyntaxC4,Mikkel Mork Hegnhoj,markgalioto,Brendan Burns,Gopi Kumar,Sean McKenna,Tim Lovell-Smith,Andre Della Monica,Olivier Martin,Roeland Nieuwenhuis,rakshitatandon,Lukas Kabrt,Richard Diphoorn,JT,Rajani Janaki Ram,Eric Jarvi,Bill Anderson,Bill Mathers,MikeRayMSFT,jkewley,PeterSelchDahl MVP,Sajay Antony,“jomolnargit config --global user.email v-jmoln@Microsoft.comgit config -listcd techcontentgit config --global user.name “jomolnar,Bryan Lamos,randycampbell,Daniel Dobalian,Jairo Cadena,Don Glover,anhashia,Steve Stein,mattglabelle,Jose Rojas,Amit Bapat,soeren-lubitz,a-tan,HannibalSII,Aravind Ramachandran,Tyson Nevil,Peter Tirrell,Samuel Chan,wesmc7777,Larry Franks,Jakob Gottlieb Svendsen,Eric Hexter,Andrew Westgarth,Jim Dial,Goran Condric,Andre Price,Soren Dreijer,Iain Shepherd,AnthonySteven14,Ryan Wike,,Kris Crider,Cynthia Nottingham,husamhilal,Iain Foulds,Vishesh Oberoi,Pirmin Felber,Peter Horst,sedusch,Adrian Hall,Saurya Das,pareshmu,jtaubensee,Cole Mickens,Kelly Gremban,Sarah Weldon,dagiro,Rebecca Agiewich,krexroat,Allen Clark (VS),Abhishek Narain,Adam Kinney,vkonev,John Lian,JeffGoldner,Mimi Xu,Peter Taylor,Manu Aery,Sebastian Max Dusch,Bruce Johnston,Alessandro Segala,misteed-msft,Szymon Wylezol,Markus Vilcinskas,Tamra Myers,Jason Tucker。\n" ] }, { @@ -16029,10 +14112,10 @@ "4" ], "y": [ - "126", - "117", - "123", - "137" + "135", + "127", + "143", + "146" ] }, { @@ -16108,8 +14191,8 @@ "xaxis": { "autorange": true, "range": [ - -0.17748636717735652, - 3.1774863671773566 + -0.1817523533671253, + 3.1817523533671253 ], "type": "category" }, @@ -16123,9 +14206,9 @@ } } }, - "image/png": 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}, - "execution_count": 14, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -16159,7 +14242,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -16168,7 +14251,7 @@ "data": [ { "base": 0, - "name": "ByteDance_accepted_count", + "name": "SphereEx_accepted_count", "offset": 0, "type": "bar", "width": 0.06, @@ -16188,31 +14271,35 @@ ], "y": [ "0", - "9", - "13", - "33", "1", - "5", + "0", + "0", "1", "1", "0", - "1" + "0", + "0", + "0", + "0", + "3" ] }, { "base": [ "0", - "9", - "13", - "33", "1", - "5", + "0", + "0", "1", "1", "0", - "1" + "0", + "0", + "0", + "0", + "3" ], - "name": "ByteDance_declined_count", + "name": "SphereEx_declined_count", "offset": 0, "type": "bar", "width": 0.06, @@ -16232,19 +14319,21 @@ ], "y": [ "0", - "0", - "0", - "0", - "0", - "0", + "8", + "3", + "3", "2", + "4", "2", + "1", "0", + "1", + "3", "0" ] }, { - "name": "ByteDance_ratio", + "name": "SphereEx_ratio", "type": "line", "x": [ "1", @@ -16262,13 +14351,15 @@ ], "y": [ 0, - 1, - 1, - 1, - 1, - 1, - 0.33, + 0.11, + 0, + 0, 0.33, + 0.2, + 0, + 0, + 0, + 0, 0, 1 ], @@ -16276,7 +14367,7 @@ }, { "base": 0, - "name": "SequoiaDB_accepted_count", + "name": "Youzan_accepted_count", "offset": 0.06, "type": "bar", "width": 0.06, @@ -16298,15 +14389,15 @@ "0", "0", "0", - "1", - "1", + "3", "0", "1", - "0", - "4", + "1", + "6", "0", "0", - "1" + "12", + "2" ] }, { @@ -16314,17 +14405,17 @@ "0", "0", "0", - "1", - "1", + "3", "0", "1", - "0", - "4", + "1", + "6", "0", "0", - "1" + "12", + "2" ], - "name": "SequoiaDB_declined_count", + "name": "Youzan_declined_count", "offset": 0.06, "type": "bar", "width": 0.06, @@ -16350,15 +14441,15 @@ "0", "0", "0", + "1", "0", - "0", - "0", + "1", "0", "0" ] }, { - "name": "SequoiaDB_ratio", + "name": "Youzan_ratio", "type": "line", "x": [ "1", @@ -16379,13 +14470,13 @@ 0, 0, 1, - 1, 0, 1, - 0, 1, + 0.86, 0, 0, + 1, 1 ], "yaxis": "y2" @@ -16508,7 +14599,7 @@ }, { "base": 0, - "name": "Youzan_accepted_count", + "name": "Ant group_accepted_count", "offset": 0.18, "type": "bar", "width": 0.06, @@ -16530,15 +14621,131 @@ "0", "0", "0", + "0", + "0", + "0", + "5", + "15", + "17", + "42", + "10", + "13" + ] + }, + { + "base": [ + "0", + "0", + "0", + "0", + "0", + "0", + "5", + "15", + "17", + "42", + "10", + "13" + ], + "name": "Ant group_declined_count", + "offset": 0.18, + "type": "bar", + "width": 0.06, + "x": [ + "1", + "2", "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + "0", + "0", "0", + "0", + "0", + "0", + "3", + "1", + "5", + "6", + "6", + "0" + ] + }, + { + "name": "Ant group_ratio", + "type": "line", + "x": [ "1", + "2", + "3", + "4", + "5", + "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ + 0, + 0, + 0, + 0, + 0, + 0, + 0.62, + 0.94, + 0.77, + 0.88, + 0.62, + 1 + ], + "yaxis": "y2" + }, + { + "base": 0, + "name": "SequoiaDB_accepted_count", + "offset": 0.24, + "type": "bar", + "width": 0.06, + "x": [ "1", + "2", + "3", + "4", + "5", "6", + "7", + "8", + "9", + "10", + "11", + "12" + ], + "y": [ "0", "0", - "12", - "2" + "0", + "1", + "1", + "0", + "1", + "0", + "4", + "0", + "0", + "1" ] }, { @@ -16546,18 +14753,18 @@ "0", "0", "0", - "3", - "0", "1", "1", - "6", "0", + "1", "0", - "12", - "2" + "4", + "0", + "0", + "1" ], - "name": "Youzan_declined_count", - "offset": 0.18, + "name": "SequoiaDB_declined_count", + "offset": 0.24, "type": "bar", "width": 0.06, "x": [ @@ -16582,15 +14789,15 @@ "0", "0", "0", - "1", "0", - "1", + "0", + "0", "0", "0" ] }, { - "name": "Youzan_ratio", + "name": "SequoiaDB_ratio", "type": "line", "x": [ "1", @@ -16611,21 +14818,21 @@ 0, 0, 1, + 1, 0, 1, + 0, 1, - 0.86, 0, 0, - 1, 1 ], "yaxis": "y2" }, { "base": 0, - "name": "SphereEx_accepted_count", - "offset": 0.24, + "name": "QingCloud_accepted_count", + "offset": 0.3, "type": "bar", "width": 0.06, "x": [ @@ -16643,37 +14850,37 @@ "12" ], "y": [ - "0", - "1", "0", "0", + "5", "1", "1", + "1", + "2", + "1", + "4", "0", - "0", - "0", - "0", - "0", - "3" + "4", + "33" ] }, { "base": [ - "0", - "1", "0", "0", + "5", "1", "1", + "1", + "2", + "1", + "4", "0", - "0", - "0", - "0", - "0", - "3" + "4", + "33" ], - "name": "SphereEx_declined_count", - "offset": 0.24, + "name": "QingCloud_declined_count", + "offset": 0.3, "type": "bar", "width": 0.06, "x": [ @@ -16692,21 +14899,21 @@ ], "y": [ "0", - "8", - "3", - "3", - "2", - "4", - "2", + "0", "1", "0", + "0", "1", - "3", - "0" + "1", + "0", + "2", + "1", + "0", + "1" ] }, { - "name": "SphereEx_ratio", + "name": "QingCloud_ratio", "type": "line", "x": [ "1", @@ -16723,25 +14930,25 @@ "12" ], "y": [ - 0, - 0.11, - 0, - 0, - 0.33, - 0.2, - 0, - 0, 0, 0, + 0.83, + 1, + 1, + 0.5, + 0.67, + 1, + 0.67, 0, - 1 + 1, + 0.97 ], "yaxis": "y2" }, { "base": 0, - "name": "Goodrain_accepted_count", - "offset": 0.3, + "name": "Mulesoft_accepted_count", + "offset": 0.36, "type": "bar", "width": 0.06, "x": [ @@ -16759,33 +14966,37 @@ "12" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" + "208", + "101", + "185", + "209", + "223", + "306", + "327", + "258", + "318", + "269", + "336", + "264" ] }, { "base": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "1" + "208", + "101", + "185", + "209", + "223", + "306", + "327", + "258", + "318", + "269", + "336", + "264" ], - "name": "Goodrain_declined_count", - "offset": 0.3, + "name": "Mulesoft_declined_count", + "offset": 0.36, "type": "bar", "width": 0.06, "x": [ @@ -16803,20 +15014,22 @@ "12" ], "y": [ - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0", - "0" + "21", + "20", + "27", + "19", + "23", + "24", + "28", + "29", + "20", + "23", + "17", + "14" ] }, { - "name": "Goodrain_ratio", + "name": "Mulesoft_ratio", "type": "line", "x": [ "1", @@ -16833,23 +15046,25 @@ "12" ], "y": [ - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 0, - 1 + 0.91, + 0.83, + 0.87, + 0.92, + 0.91, + 0.93, + 0.92, + 0.9, + 0.94, + 0.92, + 0.95, + 0.95 ], "yaxis": "y2" }, { "base": 0, - "name": "QingCloud_accepted_count", - "offset": 0.36, + "name": "Linux China_accepted_count", + "offset": 0.42, "type": "bar", "width": 0.06, "x": [ @@ -16867,37 +15082,37 @@ "12" ], "y": [ - "0", - "0", - "5", - "1", - "1", - "1", - "2", - "1", - "4", - "0", - "4", - "33" + "73", + "78", + "46", + "33", + "65", + "87", + "114", + "75", + "122", + "107", + "101", + "127" ] }, { "base": [ - "0", - "0", - "5", - "1", - "1", - "1", - "2", - "1", - "4", - "0", - "4", - "33" + "73", + "78", + "46", + "33", + "65", + "87", + "114", + "75", + "122", + "107", + "101", + "127" ], - "name": "QingCloud_declined_count", - "offset": 0.36, + "name": "Linux China_declined_count", + "offset": 0.42, "type": "bar", "width": 0.06, "x": [ @@ -16915,22 +15130,22 @@ "12" ], "y": [ - "0", - "0", - "1", - "0", - "0", - "1", - "1", - "0", + "9", + "8", "2", - "1", - "0", - "1" + "3", + "5", + "20", + "13", + "12", + "20", + "19", + "15", + "10" ] }, { - "name": "QingCloud_ratio", + "name": "Linux China_ratio", "type": "line", "x": [ "1", @@ -16947,25 +15162,25 @@ "12" ], "y": [ - 0, - 0, - 0.83, - 1, - 1, - 0.5, - 0.67, - 1, - 0.67, - 0, - 1, - 0.97 + 0.89, + 0.91, + 0.96, + 0.92, + 0.93, + 0.81, + 0.9, + 0.86, + 0.86, + 0.85, + 0.87, + 0.93 ], "yaxis": "y2" }, { "base": 0, - "name": "Mulesoft_accepted_count", - "offset": 0.42, + "name": "Alfresco_accepted_count", + "offset": 0.48, "type": "bar", "width": 0.06, "x": [ @@ -16983,37 +15198,37 @@ "12" ], "y": [ - "208", - "101", + "86", + "99", + "124", + "83", + "85", + "74", + "151", + "165", "185", - "209", - "223", - "306", - "327", - "258", - "318", - "269", - "336", - "264" + "147", + "250", + "139" ] }, { "base": [ - "208", - "101", + "86", + "99", + "124", + "83", + "85", + "74", + "151", + "165", "185", - "209", - "223", - "306", - "327", - "258", - "318", - "269", - "336", - "264" + "147", + "250", + "139" ], - "name": "Mulesoft_declined_count", - "offset": 0.42, + "name": 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"type": "bar", - "width": 0.06, - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "73", - "78", - "46", - "33", - "65", - "87", - "114", - "75", - "122", - "107", - "101", - "127" - ] - }, - { - "base": [ - "73", - "78", - "46", - "33", - "65", - "87", - "114", - "75", - "122", - "107", - "101", - "127" - ], - "name": "Linux China_declined_count", - "offset": 0.54, - "type": "bar", - "width": 0.06, - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - "9", - "8", - "2", - "3", - "5", - "20", - "13", - "12", - "20", - "19", - "15", - "10" - ] - }, - { - "name": "Linux China_ratio", - "type": "line", - "x": [ - "1", - "2", - "3", - "4", - "5", - "6", - "7", - "8", - "9", - "10", - "11", - "12" - ], - "y": [ - 0.89, - 0.91, - 0.96, - 0.92, - 0.93, - 0.81, - 0.9, - 0.86, - 0.86, - 0.85, - 0.87, - 0.93 - ], - "yaxis": "y2" } ], "layout": { @@ -17323,8 +15422,8 @@ "xaxis": { 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0HJzHMC+KfxT/WV9eZ2TemLs81nFOYYPCC0UtuklZb/YNyyYHvs8+DjeOeO0wHAiFL7vUmPFU+R7zInuKW7/++quZK4Kd6+HGFt39FNg5Xnj9UexkfnyAQAbsF46zF198scH4Zn2j3YyL5XOcUSR0Xq8U3Sny2PY762nHPUV5tj84sc/Z3lDirJ0HOKYpJvGa44MCPvBhWZFSY21mmBY62TlGeY2RFccO/+b1d9RRR5nsGeeW8zrHvJ3T+D6FN4qm4ZJzTqQ4xocWHCtMtu+j6TceH+o7wl4zZGFjCHPM2/cpkNqNsGwbbF0573LM2vi9FJ+tgEfxj3MMxyI3f+N3CPucieOfD6qYQs0bPNZ+53DesN9xwWOe50fzncG8mjrvhppr2Cbbh7aP7XgONXb5wJXfm3yQMnDgwLB9HcyCY4UPxuw8ZP9H4PucQznGKPheccUVdXlGOxai5W7r7pyv+Tsd7pxzeT1FMw9Husb0uQiIgAiIgAg4CUic1XgQAREQARGImQBdLJdffrmJv0hnTzTJ3iTT/cQbe4oevPHi+7zh4sZidndyurEoAtobVApJdDNRiHDeDEebp72JpIjA863guXz5ciOcOYUcigm8IecN6JFHHmkEKooaFBp5Q06HqxXYQrU7lGjF+lPcodjCG3TeqDNRCKIYyPzo6srOzjbv25t8exNKEYpiOMunqEFxg4nv08XEZfNNEWejbSvbTnGErjDr6uLNP51tZMQb93DL0W04h+BNvOhIo+jO8yMl289WhKIAQkZ0i5KLTVZEphOT45JjjImOXTqh6HTjBk50WZIbhTIm9g9dWxRdKP5Gy8Xe7NN1S9GeHNgXdMpSYLWCaWNhDciRrjSnQ4vixEknnWSuC7uBnhVMWEc6xSnocWxa0d6Kz2xPNBwoKrP+DBNBMYqCIctj6A3m6RSoNnec83xegxTArBuV71Hc5DXBa/Cvf/2rKaaxsAbBQhUfDNGdR1c9l/qTB3ny2uW15XSchmqDfWDB649j27qFbTgAji2OMSa60emSo6uOzs+mJPuA6OCDDzbzJxOvK15foeIRc0ySBx8WcTwEp8bEWbaHIh/nPOdGYMyD88fNN98ccUOwcG224pUztAjHsGXFctnPTmGT4jIfDHHuraioCCsQU0RmPhRBOVdbIZmi/EMPPWTmv1j6zc4dFIyZLx3Edo4mCwptHH98n98vZMoHSnRtMtk2cOwyJIV1eT/99NPmQYLzARMd/hyDPNYmznOcD5yba9l5gy5QioxsI+dyPjyjWOwct8FjPtrvjM2Zd+1cwzmBDwasUE2xlX3PvqGblm3lgyXWmeOUTngmhuSwqxBeeumlRi8Vy4ICLpnzWuT3Lcc7H7KQ21VXXWUe6LBefJ8PRPhdwBTLWIiFe6SwBtHMw02ZI3SOCIiACIjA9ktA4uz22/dquQiIgAg0mYAVdpwuzEiZ8SaZYqwVm+zxvPmj6ypY9KRgRvGON/10zDDGLTeycTqQos3TikDBcUrtTaQVZ1kmhRPefFJgsGIx60phhW60SOKMvfGnMMgbS4pFFIHp3uRNOF0+duk8XadsN+vFsAk20SlG8ZAuUx5jRQPeuPJ4Z6KLlO67WMXZWNpqb1Sd7IP7O5yoZsVDiroUTMNtoBRu/FhnKYUMOoKZOC64JDnYsUVxgzfrdJbRXRycKD5yzLJ/eXPPG+zgFAsXe7PvFCaYH5c3U6ylaEixM5qYs+xDjh2KdRzvHH8cM3wls3BxIK0j27aJ5UfiwGMo8LI8suratWsdBsY0ZVxVilkUOcOlWMa5Mw+KbOxTXnvMg/OBU6yMRZyluE7Rl87zULFdI81PVmCjUMo62GRZO6+3zRVn7XVAwYsPamx4lt9//91wdop3th52nnU+SHCybEyc5bijQEdxlg56Xg8U/emI5biyY7OxeTtUm+01FGrVBEOuMHQFRTYKnFbYtI70SN8R/JwhBlhHpwM3+LxY+i3cdwQfwrAtdt60ZZAVXe1W/LNt4EM0tsMmCsx80MjrjiK6M5Ez5yE6cbkpG+dwPrhhu5jCzRuc23ksVzZw7DIFi7PRfmdszrzbWMxZO7dQdOX3GB+q3nvvvUbA5QMdJuvsjSYueDgWFMLZBj58oSPeJo4thu6x/y/EMhZi4R5JnA2+XkPNw9GMdx0jAiIgAiIgApaAxFmNBREQAREQgZgJcHkyhbpIy1OdGYe7SbYiAgVU65JiPEYKcVzaGJycjr5o87Rl0HFJh6FNweIshSPeDDeWnMvHQx3ndGU5P6coQ6HNujn5ma1XuPLs5mEUsOjmoxjAG15naqo4G0tb7cZALJdiD4VSii+Mo2iXvocT1egIozvW9iX5c/k4BSenwywcA8aGpVDCuIXOeJPsB+ZJsYIiNhMFF74X/ADA5k2hnzfdjTm+Y+ES7maf4gzbZ92sjYmzjEPKcRks8Ng6051HR3VjggmFVOZjw2VE4sC8eQ6daeES4zHTXRkuxTLOmQfFKrqWncvbbd7OZcqxiLPhBDZ7XTsF/VDtCCcA8VgbOsMuo98ccZYPn/gQiokPKDj+bLLjLVRdKXRS8OScFCpGa2PiLAVnrnDg9bPDDjsEzHnMK1SM22BGodpsr6FQcz/nbbo+bX3DCZuNza+2T4Lr7Twnln4L9x1BVzSv0+C5Ing+bawNzIMPUmz8YObHa+bnn39u0MRoxFkbisL5HRMszkb7nbE5825jcw37l+2lIMsN7zi30cXPRDcthW26kfmwieM3UqzjcHOoDVUQPA4YW53xdinKMixFLGMhXFmhuMcqzto51TkPNzbO9ZkIiIAIiIAIBBOQOKsxIQIiIAIiEDMBOoJ40+u84YyUSbibZLuE3IqzdjkmXY1c6swbQIq2jGtKIS4acTY4TxvvkjdnFAZtChZnrSOToqGNmxjcLi5hD96oy3lMcFgD53JVLiGnQGWTXR5M4dHp/LOfM3YrnVxWHKWoEiwehxNng11LwTFnY20r+4VijY3RyDo6YwA3JqpxWTWXWU+fPt04iW1y7k4fbvxYkSzc505XHt1mwTF9nedZBo3Fuo2FSyRx1i5Vb0yctUvd6UTk8naGN6BjkyIelxE3RZyNxIFM7CZUDDESKnEDJueGcsHHxDLO6R7kplBMFGJ5HdDJyXHB2MhNFWfDtTNYHA83duz15xT47bHBwltTxVkKpJyzKIbSkTxy5MiA6nAJNx9ecE6h4ORMdATThchl8U5nvT2mMXHWhmbgpmHB/Wgdx84wJaEYhWqzvT5CXUOff/65ictpr8mmiLNWVA7nfmc9Y+m3WMVZbm7FPrGO2ljEWSuk8rrnnM4+pUOaS/EZ5iGSc9Y6pRsTZ6P9ziCnps670YizHF92M0c7h1144YVm7mKIkVAPEkONsXBzqBWBg8VZhrXg/wJWnI1lLIQrKxR3ibOR/qPT5yIgAiIgAs1NQOJscxNVfiIgAiKwHRDgEj7efNGlGOrm3yKgMOncvCtUWINgIdXefNERs++++9bRtHFYmyLO2pvHYAdasDjb2OY80XZrqJizFKdYtt2khSIck10GHEq0cZbHeKk8JpTjM1ic/eijj3D//febeKp2V23mFSzONrWt7FOKhqw7XX+8EecO7VacjRTnk85JOpW4LJXLYhuLScjYwxTveJzdTMdyYf3p1HIur7biCB1bdlMyJ0fyp9sy1AY2znzDbdAUPAbC3exbp6QVHa0464wLa/OiGOQMX2Dftw8UmiLORuLAMqI5prExH8s4p5jC65oCI4VGm2zIilDibKhxFOwitLGQOZ6cDj0bBmT06NFmZ/dwie58nhs8h9H9xro6Q0U0RZy1D5pYvjNWdHB97BJ2ikTOTdhsfGS6BflQKDg1Js5SCGSIAIb/4BzhTNY13ZgAyuNDtdleQxTXeb4z2WX5dgOzpoizdq5ubE6Mpd9aSpy1jlGGHCFru0kmH1gxNrEz8QFbc4mz0X5nBI+VWObdxsRZG4bIuRmjjYPLeZriLOc/50qYxuaRzRVnYxkLEmej/S9Gx4mACIiACMSDgMTZeFBXmSIgAiKwDRCwm9VwmTtdNMFuUoY+oOjBG3YKZdE6Z61ziqIt3VlMdJ1R3Pjiiy+a5JxlHE2KiLx55BJy3igzrit/57Jl54ZgVvChqENxx5koSvbo0aMuXmSobgy3i72NLclzrPBsRVeKhRMmTKgTsnkM3Vt03dFpZzcNoiuUN8V2UyWKUBQv6TK2Ti/G42NcPqdLl2I6+4FiizMOZ7RtpYDF86zQzvrZneS5IzjzCbezPDfE4VJXZzgJCrwU99mvdtl4KJbW/Ud31EEHHdTgELvZj435at1WdGlyoxqbKKRwEzCK/dYRyWWz3KTMJj444JJtOrWj5RLqZp+s6Qjm0mZnjF7Wn9eKjWVpy7UOVj58sBtS0fHGmJvs96aIs9FwsKJGqLisFN35QKGxXdZjGedWKKRDlO46m+yDBKc4G24c8ZxgcZZLqxnzku5fitw2cd7hXBEpBAmXR1P4DN6szsbRdLpDYxVn7fzIa5b9wbAF4ZJdqu58IOXcFI7Xn/Pas/k0Js5ahyvHHDfu4yZKTHYe4pwRLAYH1y9cm+kEpdjndDXymub1SJHSir5NEWdtn3C+4HXtjPtNkZ+xTWPpt5YSZ60QbeMl24dfwQ9+7AOIaMIaROOcjfY7Y3Pm3XDirBVhQ81jNoY1x1CkcCLOcba54mwsYyEWcZYrTxjjnkK7M/xOLOFltoF/89QEERABERCBLUhA4uwWhK2iREAERGBbIkARigISRRombjDDG2qGPFiwYEHd8nfrYoxWnLVLeelas7tE84aUN/1MTXHO8jwKOEuWLDF5BO9g7hRn7e7aPI5iHgUqChGzZs0ymw9R1GpMaAknWjE/u+yXv3Mnci5htwILHaB2gxmKrhQTydNugmU3QmHdKRpxV/PffvvNtIcCkBVnKepQgKTwyZiwdHYxLwp9TE4xLtq28hwKrBQiuDlLXl6eca2yDIppDMkwc+ZM0zeMk0unHl3V5ETBkw4+xqik85f5sD8pPNPFyvaHSnQv0sHKfBhL1Rmr1x5vhTybDwVFLqlmvciIZXI8UgTs3LmzEeOteM08eB7FdgpWFH4o6nLjn2i52Jt9usUohtO9SdYUZIKdhXb8sV4777yzcR1TxOXmPxRyKeowD7q5Gf7BxuhtijgbDQeKDBwnLIfjkA8iKGKz7ezLcHFOLftYxjn7g/1MQZAuaz4kYRkUtJic4my4ccT5JVicpaDO0CdMFH4ZW/X77783G2HxeqIoGWrTN9sGzmF8uMBrg2OF1zvH61tvvWUOcYY7iEWc5di18ZF5vYTanI4PXez8Zp3WrCuXw/Ma5/XMegUL2hw3nEeYeA1SyOe45fXB5fROhy1DDPBYji2K1xSb+Df7I5rNmsK12QqEnHcYaoVz9fvvv2/GPRlSZGZqijjLPuG1wrz4wI9jgzwZ55R9w4c5sfRbc4mzbCvnUwp1nJ85j7C/+H3FmNC8duhI5vXEeY7XOMc3j2NqLnGWeUXznWEfiMQ67zJ/K0CyfeTP+YHfgRxvbF+ojSGtSMrzI60Ecc73myvOxjIWYhFnGfKD4YR47ZLBmjVrzHzJa5MxdUNt4Bcc+zvkF5veFAEREAEREIEwBCTOamiIgAiIgAg0mQBvjCi+8iY+eHOhPn36GJGOjkEu1Q13k3zrrbdi2rRpdcsgKRxwOa+9qWXlKOZQeKHoctVVV5mbZKZo8+SxvKmkSPjjjz8acaJ///5GbOSNpnO3eB5LsYSuPAohzsSb7iuuuKJR52ykuKbcfZriD8UUunLoaKPTjAIk62UTbwLp4LSxb+mkpcOO7l0m3jgzbAFddRQGnLuO2415bF4UT3hDSTHzsMMOq9ucKNq2ksVnn33WoH4UFp0xNG077Fg4++yzjUAbiiXFNvZluA1jrEjnFM6DBypvmK04ZDfUogBPlzWFdJvImiKcDfNAcYmhHyhs2UTRhWKp3aw07nbxAAAgAElEQVQpmjFgb/YpBDI0gU2sM9tmHc58n+OCgjzztf3HzYgoHnOpP19tYh0osFKg4lhh/o05tnidcew4NxWLhgPLpDuZDx6ciaIYHa50EYdLsY5zjlPnMnj2CQVM1plzBN3RNoUaRxRGgsVZHk9hnWKgfXjD9/hQgxszUTSPlNhvPNb2C4/n9ULnvjM+NZdp8/ppLIyLLYvzIueUxlJwTE6OSc6FzjmA1yrHhjPUAXewt+JncP4Ue/mAxCbOGXy4Y8VcO+7Ytyw/UmqszZxjOP6d9WWbKfpSyGSyIu5ZZ51VJ6JHKpOf8wETwxvwe8Emznd8eMGHVEzR9lu47wi6fzlmgjcE4zjjtRYcc5ZjwvkdR8GbIqRzxQjnLH53OTeypLjOsW/DH7DuDzzwgMnfPqCzbbTOWadwHmrMM6RLpO+McPNXpHmXdbFzDfuR/evs43BudBs7mZwo4jrHbGN9Ho6FXTURHBfZbhTG73LGxY5lLMTCnQx4PMewbT8f7vF/kXDibKh5OJrxrmNEQAREQAREgAQkzmociIAIiIAINAsBxiKks4nLb3kDE8rpGEtBFN7o1qErk/m1RLLOLm7+wZv14MSbYAq0dHvm5OQ06sLb3PpR0KFrkqID22uXuAfnS84U7ugE5Q1wcMxZezxvlpcvX26cPhQSIqVIbbX1o1uRm9ywX0LdgPM4jgPepNMtZhPrvWrVKvMn67654yOa9rA8CqTh6koRiO3h5+QUKjXGxenEImPmxbZZcSpUfhSEWS772C41JzM6odlnzIdibHMl1j8SB4oPHOd8Zb043lsise1cGs0wJxS1GhNwwo2jcPXiXEGxmU63cH3ZWJsoxvB64djmtR6PxDbTlc5xQMetHR+bWxdee+TOByHk4wwVsDl5s77Ml2OMQlm4By1NLYPjkWOX9Q03/7Z0vzndv5xr+b3E6zPc/FxRUWGuZSaybsl5LprvjM2dd2172Ae8ZkOF12BbKchSbI7kuG/qWIjmvJYYC3zwyWuSD+9CxTGPpl46RgREQAREQASiISBxNhpKOkYEREAERGCrJ0DXG0Ubuup4Y03nH11ldENxU6qWEoBbGlw4cbaly1X+MM5But1szFsxEQER2LYINCU0w7ZFIHJrKBIztEaojQ0jn60jREAEREAEREAESEDirMaBCIiACIjAdkHAuWGJs8GRNg1q7XAkzsavhyTOxo+9ShaBLUFA4mxkyjZ8BUMmMPSOkgiIgAiIgAiIQOwEJM7GzkxniIAIiIAIbIUEuGx7zpw5JnQAN5jp1q2bianJJe1bc2LsR+6UPnbs2K25GVtl3RnXkZuyMWYqY0oqiYAIbFsEuCkbxUfGgWbcc6WGBPi9yg0CGX88mhA6YigCIiACIiACItCQgMRZjQoREAEREAEREAEREAEREAEREAEREAEREAEREAERiAMBibNxgK4iRUAEREAEREAEREAEREAEREAEREAEREAEREAEREDirMaACIiACIiACIiACIiACIiACIiACIiACIiACIiACMSBgMTZOEBXkSIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgcVZjQAREQAREQAREQAREQAREQAREQAREQAREQAREQATiQEDibBygq0gREAEREAEREAEREAEREAEREAEREAEREAEREAERkDirMSACIiACIiACIiACIiACIiACIiACIiACIiACIiACcSAgcTYO0FWkCIiACIiACIiACIiACIiACIiACIiACIiACIiACEic1RgQAREQAREQAREQAREQAREQAREQAREQAREQAREQgTgQkDgbB+gqUgREQAREQAREQAREQAREQAREQAREQAREQAREQAQkzmoMiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEAcCEicjQN0FSkCIiACIiACIiACIiACIiACIiACIiACIiACIiACEmc1BkRABERABERABERABERABERABERABERABERABEQgDgQkzsYBuooUAREQAREQAREQAREQAREQAREQAREQAREQAREQAYmzGgMiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEAcCEmfjAF1FioAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIDEWY0BERABERABERABERABERABERABERABERABERABEYgDAYmzcYCuIkVABERABERABERABERABERABERABERABERABERA4qzGgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAjEgYDE2ThAV5EiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIHFWY0AEREAEREAEREAEREAEREAEREAEREAEREAEREAE4kBA4mwcoKtIERABERABERABERABERABERABERABERABERABEZA4qzEgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAnEgIHE2DtBVpAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhInNUYEAEREAEREAEREAEREAEREAEREAEREAEREAEREIE4EJA4GwfoKlIEREAEREAEREAEREAEREAEREAEREAEREAEREAEJM5qDIiACIiACIiACIiACIiACIiACIiACIiACIiACIhAHAhInI0DdBUpAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhJnNQZEQAREQAREQAREQAREQAREQAREQAREQAREQAREIA4EJM7GAbqKFAEREAEREAEREAEREAEREAEREAEREAEREAEREAGJsxoDIiACIiACIiACIiACIiACIiACIiACIiACIiACIhAHAhJn4wBdRYqACIiACIiACIiACIiACIiACIiACIiACIiACIiAxFmNAREQAREQAREQAREQAREQAREQAREQAREQAREQARGIAwGJs3GAriJFQAREQAREQAREQAREQAREQAREQAREQAREQAREQOKsxoAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIxIGAxNk4QFeRIiACIiACIiACIiACIiACIiACIiACIiACIiACIiBxVmNABERABERABERABERABERABERABERABERABERABOJAQOJsHKCrSBEQAREQAREQAREQAREQAREQAREQAREQAREQARGQOKsxIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAJxICBxNg7QVaQIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAISJzVGBABERABERABERABERABERABERABERABERABERCBOBCQOBsH6CpSBERABERABERABERABERABERABERABERABERABCTOagyIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQBwISJyNA3QVKQIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAISZzUGREAEREAEREAEREAEREAEREAEREAEREAEREAERCAOBCTOxgG6ihQBERABERABERABERABERABERABERABERABERABibMaAyIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQBwISZ+MAXUWKgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgMRZjQEREAEREAEREAEREAEREAEREAEREAEREAEREAERiAMBibNxgK4iRUAEREAEREAEREAEREAEREAEREAEREAEREAEREDirMaACIiACIiACIiACIiACIiACIiACIiACIiACIiACMSBgMTZOEBXkSIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgcVZjQAREQAREQAREQAREQAREQAREQAREQAREQAREQATiQEDibBygq0gREAEREAEREAEREAEREAEREAEREIHtm4DP5wN/3G739g1CrReB7ZyAxNntfACo+SIgAiIgAiIgAiIgAiIgAiIgAiIgAluWAEXZG264wRR68803b9HC5+YVYsqCNTGV+c8D+8d0vA4WARGInoDE2ehZ6UgR2CwCM5e9jSpvKfp0HIVObXbYrLx0MrC0aCnWlq5FdnI2+mX3E5LNJJCfn4fJn70Ll8uNcYeegKy2HTYzR53+xtRXkF+wAf269cEhe44TkM0ksGHdAuQv/wYJyRnYYeAJm5mbTieB9d+9h5qKTUjvOwJpXeN/wzVp6SRcPu3ygM4Z1XUUnjjwia2iw5auL8GqgnK0TUvEzp0zt4o6t+ZKVlWUYNnvHwM+oFu/A5CSmt2aq7tV1O3beROxoXAVcjvugN37H7xV1Lk1V3J9/iosWvQ7kpKSMHT3vVpFVcury0PWIyUhpVXUL1IlfvnfM6gqKUanAUPRZdfRkQ7fqj//+OOP8cgjj6CyshJ77bVXXMTZ8Q9/FTXDQV2z8P5Fe0d9vA7cPgn8/vvv2LRpE3bfffftE8BmtLrViLMvv/wyunTpgjFjxgQ0Z+nSpZgwYQKuvvpqpKambkZTdaoIxIfAz3kfYNGCfyHLXVVXgaLMw3D0Ho/Ep0LbQKnXfX0dJi6aWNeSfbrug8cOfGwbaFl8mvDAIzfjyZW7oAzJpgJtUIrz+yzEBedeHZ8KbeWlVlZVYNzdT2LhpvqHMMPb/4Q3Lr92K29Z/Kr/wzt/w55z36+rQF5yKnx/fRndeh8Yv0ptxSUX/DINrjdORpZ7U10rVnY9Ht3OeSaurdqaxdmr35uLV79fXsdvVN8OeOmsYXC7XHFlurUWPve7J7C64D9wJ3lNE2qq3eiYfgGGjLpka21S3Ot9z4P/QMnGjnX1yOy8Fpeep/+dmtoxz77yMm6eW//AoLtnA544YWcMHLxHU7NslvMu+OwCTM+bHpDXHfvcgcP7HN4s+bdUJit+nIzpL/6JjZU96oro3/lzHHTDrS1VZNzzLS0tRVFREe6//34kJydv0+LsihUrcOaZZwYw79WrF6655hrwNVJ65pln0LVrVxx22GGRDjWfH3HEESgrKzO/8+EJdaajjz4aY8eOjer87fmgL774AnPnzsVFF13UJAyPPvooKNA++OCDTTq/pU+64oorcNZZZ6F///ibEoLb2mrEWXb+zjvvjAsuuCCgjvn5+TjppJPATm6NAFt68Cj/rZ/AK1P3Ra4vL6Ah1T4gc6fnkeDZOp5it6Ze+GXdL7hv5n0NqnTqgFOxX/f9WlNVt5q6/PvBOVji6xxQ3x5YgxP2ytpq2tCaKjptwe+YUTC4QZXO3W02DtpXTqVY+6qyNB+jXjyxwWkL2/dEv/ESFmLlyePXvXoxOlQuanBqxcW/Ijk7cC5oSv5NPWdrFWd/WLoBxz/xbYNmX3v4AJy9d++m4tiuz5s0cTckZhYG/u9UlophoyZs11ya2viJn72EZfMarogZOqYdjtz3/5qa7XZ7XmVlOXa5/hNUIiGAwSFtluDJk4fElcsDM+/Hz+vmBtThnMHnYK/OrcPZGw7OJ09OxqKNDf+PP/p8zzbvoGU4g+rq6u1CnL3zzjvRuXNnbNiwAXfccQfatWuHhx9+OOI1c/HFFxst6B//+EfEY3kAxdmjjjoKBx54IDZu3Igvv/wS//vf/4yudMYZZ0SVx/Z6EE2TU6ZMwXPPPdckBK1dnD3ooINw6623Yvjw4U1qX0ue1KrFWa/Xi/fff98Is6+++io6dqx/2tuSUGLJm5ZtJRFojMCk74ajnaeiwSF3rk7B6ioFftfoiS+BhE07YOPKc+Jbie2k9H1z38VP2TO2k9Y2XzMHVlTi9T9XN1+GyiksgYIdT0LiyHNR065vXChNWTkF1824LqDsETkj8J9R/4lLfaIt9N3Zq3HDh783OPzYoZ1x41iF3YmWoz3O692EH2fuA5mOYyUX/vjFf+yJvLydGhzQeedNOGnsjc1X0HaS05JF83HEG+vCtjYZVWjjKjUrkdq4ympf+XdZ7fuh3itFhqscGShDuqsMGSiHizE9tpM0ccMtyKvcpUFrh4+chR2PPm+botCmTZuA9mxP4uyzzz6L7t27m/ZTIKMRjw5LCoGLFy/GLbfcUseGGlBFRYUx8PEYj8eDtm3bonfv3ubcGTNmmPfXr1+P3XbbDSeeeCIGDRpkzqc4S6cuBVqbPvjgA3P8k08+iT59+uCFF17AO++8Yxy2dNfSlUvx1+VyGSF3+vTpyMzMxNdff20E5fPOOw8jRoww2f3555+477778Ouvv5p6UeijC5h5PfDAA/jqq6+QlpZm6nHcccdFtQKcjs558+aZMBdsJ92dhx56qCmP+ZIH862qqsKOO+6Iq666Ch06dMDbb79tfgoLC009/+///g9Dhw5tlM8pp5yCYcOGmfwolDMEwfXXX4+1a9caBqxDp06dTNlcxc7YyOHaRQf43Xffje+++86wSExMRM+ePaNyzjLfcPX//PPP8fjjj6OgoADdunUz7aVAzwcZp512Gm677bY61zXDg/C64vuN9R37bNKkSUhPTzc/hx9+uBk3rSXFXZwdN26c6fzGEi+y//yndf5jzsGhJAKNEXj7i93Q0V3S4JA3y4ei0h345SySkQmsK1tn4s0Gp87pndE1o2vkDHQE1q3vjHXrumLdui6oqkoKSSQBXnSsWStaTSBQmpiOQm/DeJN/H/w8BuXOxQJvN/zq7Qov9HAmGrztitfhvnlfNji0NCERqV2HRZOFjgkiULXsRySh4UPDusMycuDrtU/9T9ueW4Th5GWTccVXVwSUNbLLSDy6/6NbpPymFLKhpBJnvzgLP+cFujyZV8/2aXj7vBHITktsStbb3Tn5+R9jzdr/Yv36qaHb7gPattU135SBMetnF/KWNVzC2WtoNf42TuJsrEzzVizG6CcXNjgtCdVI9XixyZuEGmx+SJN0dxXauCvRxl2BNp5KZJjfa388FfW/uyuR7q5EhqcKG0sWw1uVj1RXOVJdZea1T1ZvtE9pF2szt+jxH87ZD8vKG4aEGH3oIux0eOBy+C1asRYoLCEh0HG9PYmzFCuzs7ONuEnxjSEdKL5yGf2ll14Khi+gsFdcXGzCEFx77bXYaaed8O9//9uENaDYSlGNQhzFyxNOOAH77rsvPvnkE3z66af473//a8TVUOIshUAKsBRZmTfPYV9QLGbYBbp6KbDut99+oIj82muv4eCDD8Y+++yDjz76CIsWLTKGQYqjf/3rX5GVlYXTTz8dNTU1Rlym2HvjjTdi4cKFdSEB7rnnHiMYsj6R0ksvvYR+/fqhffv2YGiBN998E2+99ZYRaq+77jrMmTPHuH579OiBd99917SdIUDpPD722GNN3OJvvvnGCMqsc2N86B6l+HrqqacagZxuWXI55JBDjO7Gsi6/3L8HwB577GFc3eHaxTbPmjXL5NW3b1889dRTRqCNJqwBhdRQ9adwzBX1DEPB/n3llVfw22+/GR7sM2qIDz30kBk7TAyBynHFOjfWdwy3QPH55JNPxoABA4yYbR8WROqfLfF53MVZDiyq7byQaGvnQLKJncrBsMMO2jxpSwwGldEyBN78/ky0L5kWkHmpLxnjD5jfMgVu47lyE7Cx745FhTdQWHjpsJcwpFN8l5K1VvTFFdWY/MsaTJ6/GlMWrEWVt6auqu0zkpBakoeVvsCVCYcmzMATt97UWpvUquv14Ns34v4f92xQx6GdfsZ5g19AYm386czMXdGzx9no1EnxryJ1aN5dXdG1rDjgsLf67IHjT50S6VR9HoLAyuf+gW7LXg74ZFNNBtoMGQss+RLYFORUbtsD6L2v/6fX3kBmyzwI29rCGjw6dRHu+eS3iGPsikN3wvn76X/ZUKAKCn7AqtXvYfXq/6KmxrGRkTcdmWuGILWALm4XyrP+QH7ynzjsL5Mj8tYBDQl8OuM5fP3RsoAP3G4v/nrmkejfLb4xUrfW/hp7/bOYX5kTUP0rdlqH808/zbxX7fWhqLwKm8qrsanBa7X/swp+Fv7zskp/zOXNSz6kJrnQLj0VbZIT0CYlEW1S6l8zkhOQkZIA85qcgPTa1/q/PXWft2QM7c/uvB6frNwXixO9qHT50N7rxgG+P3HKQ6dvXvO3grO3J3GW4h0dpXTEUuykGHnXXXeZ9xhyYM8998Qll1xi3JQvvvgiJk6cCLfbjeCwBnRKTp06tc5pS8PcZZddVifYhRJnORQoytElSiGYiXX45ZdfjED53nvv4fjjjzeCKwU+OkEpNDLR1UvxkuLg/PnzccMNN+Dpp58OiJdLdyvLpRhLJy8TtS7rDo40FCnyLliwwPzwHJ5LoZTMmO/f//53I8I6E8uiwEhh2Zki8aE4S+62nnQiUxBnPsFhDRpr17333msEVLKhQ5gplrAG4epPYZf9y/5nojuagjjds3vvvXdEcTZc31HoVliDSCMRME9LMjIyjE1dSQS2JQIvfX0yulR8h3KfC6XIQDsXBQYfBg74D3Jzj9yWmrrF2jI7fzbe+u0tLCstQE5yGsb3Gad4s0H08wrKjCD76fzV+OaP9QGf7tAxAwcNyMHBA3KwW89sFN45FM8VD8X33p14D4yR7vm4aP8+wAHXb7E+3VYK8vmq8f2MwzF9SRq+WbknNpVnIMHrxcqSLih2p2NELxfOHvQ6XBVfBzQ5J+dw9Oh+NjIz/cuxlAIJVD++FxLWzMeG5DQsSUnHxwlevJGZgbv2vQtje0vcjnW8fPXaCyif9hD6ZhYiOcmFVUWJWNpmNI657XF/VusWAku/BJZM94u1pYFzCNr3rRdre44CMvxL3zY3bS3i7FeL1uGqd+ZixcZS0+Tde2bj8MGdMX/VJqzYUIp26Uk4ZGAufl1dhMe/+MMc06NdGu48djBG7tB+czFt9eeXli7F6tXvGVG2vLw+Jn9aWi/k5h6NzrlH44/HZiFrbduAtuZ5FmP4bX7hSyk2Aq9Pex2/Tv0VcNUgrU0B2qQWILfz7xh/+GQkJDRc6RFb7tvn0eNveBZzK3LQxVOAHdOKMbp3Bk4/6eRmh1FW5TUCblFZvdBbFEbQpQg8c9V8FJRVwFeTAp83xbzCt/krdRI97lpRNwFtkv0CL0XdhmJurdBrBF9PyM897oau4utun4CXinID+O3W0YV3L9t2v+MpxjGMI5fy85UORLoC6fzcEmluXiHGP/xV1EUN6pqF9y/aO+rjnQfaDcGcYQ0YC5ZLyv/5z3+a5fsUIymG0rRHFyZdrhRKmYLF2SuvvBKzZ89GTk7gA5JzzjnHiHeNOWfpyOTnjHlL9y6duXSjMowBnbkMhxAsznK5P4VdulsZCoAOXy6Pd6YlS5bg3HPPNaE4aTK0iU7YSKvAKYxyD6ZVq1Zh1113RW5urnHrUvykS5jipw3H4CyT3M4+++w6YdR+FolPsDhLl/Abb7xhxNBgcbaxdlFIJy9n3WIRZxurP9viFJ3ZZxRoKQJHcs46xVln35GrxNkYLmF2Pi/e4DRy5EgzWSmJwNZEIK9oEeb+cAgSXUBqr5sxss/JWJlHW/71SEvthUGDH0dGeuvbKbC1M35g6Ro8umItNlV7keBy4fSuHXBrv5ZxcrV2Fs76LVhVhMnz12DyL6vxy59Fgf/g9sjGwQNzjChLcdamsu9fQurHF5o/a86ZBrfHAzxR+4/X5YuA9NYX67s198mCX6/Cn3++ibS03hg+7AO43Sl4+9ZrMfO3lfiqz5FYUZGEoT2yce9xg5BU8TaWr3gW5eV/1jXJ5Uo0btpu3U5BcnLgP5ytud0tWref3wDePRfwJAHXrALcCXhs9mN4fM7jSPIk4YVDX8AuHRrGqWvROm3FmZcUbMQT551iWnDw3/8Pg/Y/GC9fdQnWLF6I8Zdcif4jQtx4rZ3vF2kp1lK0LQ+cX5AzsNZVuw/Qcy8gtWnLZ1u7OEuB5Kp3f8YHP68y/DJTE3Hh/n1x7r59wo6I2SsK8Mjni/DZgjXmmCN27YJbj94FmSnbV6iDam8xVq+aaETZwqLZdbwSEjKQm3OkEWWzsoaa9zlGV932PVI86QFcvb5qVI9KRI/hu8HTNhnuZM9WfCVu2apfdf9VSC5MRubATFx6/KX4afap2LDha3TrejJ23PHmLVuZbaC0/77/Hi7+OgkMYzD/1rFISGg91/MFn12A6XnTAyjfsc8dGN3lUOPgtcKuea0VfK3Dt6HTt97Vy1VYzZFSEj1+Ydfh0vWVFWDBn14UhdAkP7p4HwzovG0+QHj99ddNPE9ncjoQm4N3Y3nEW5xl3egEZegAtpurqY855hgjrk6bNs0s6+dSdSaKs3TZXnih/56FouWyZcvCbiYWSpz98MMPTdxUCq906lLoozBu48ief/75xrkbSZyls/X22283YQ8Y89UmxnylcMgyBg4cGFP3MSQD47bSMcxwCUwUEdnOXr16mXy5ZJ+snImhDYYMGWIcpc4UiU+wOMuwCXl5eYYNxVnWh2EamBprFx3LFNFvuukmUK9jikWcDVd/spg5c6YRjJlsmAs6nll3lsn4sYMH+zdgDg5rEEmcdfZ7TB3VwgfHPayBbR+dsxwUJSUNY3PyGOdAbWEmyl4Emo3Ac18chh41v2M1cnDymG/q8p2/4N9YteoddOp0KAbt0npj6TUbiGbMaGZRCcbNbBjn67EBPXFMjv8LfHtK3y1ebwTZKQvWYNl6v4vLpv136mTcsRRkO2Qkh8RScksfpHvXY3XOIcg9/03/MZ9cDXz7KLDbqcARkXdQ3Z54N9ZWirIUZ5l2G/oysrP9OyOvXvQ7XrnmUhQlZGLuiPMwK68YfTtl4L7jd8Wu3duiomKNEWmXL3+WEnldERR4e/Q4G51zj4HbHTo28HbB/v6BQOFK4OBbgZEX1TX5yulX4sPFH6Jv27544bAXkJm0bd68NXcff/LEg5g39VN023kXnHCjfxncr19Pw4cP3YPs3C4480H/Er5G06o5frF2aa2ztqos8PAuQ+udtd2HA8nRxVdvzeLs018uxm0fLdrj60sAACAASURBVKhr5/F7dMOF+/czcWWjSW/9uBKPTF1YN09fd/gAnLX3tr9abG3+JKxePRH5+Z8GYOrY8WB0zj0KHTse0gAfx+jOS4bA7Yrg9nMBCW1TjFDLn4Rsvjr+zkqGq5kF3AdmPYCv8wJXPuzVZS9curt/iWxrTE9//DTyvs9DeXI5rr3kWmSkZKCoaA5++PEYU929RnyKtLTwDxhaY5viXae9r3kZK73ZeMA1HaM65cKVnIz0EcORWruUOZ71CyfOHt7n8M2uVnWNzy/wltWLtsHCbiiHr9PpW1ld/39OcIX6FuRh97W/IrW6AiszOuGzHnvgtXNGYC+tONjsvguVQTzEWTohuQy/qKgIn332mXHJOkU2fj5lyhQTP5XhHmyiM5NxTRlnlHoRDX10h9JtymX1FBAnT55sQmJSxKU4SxfsgQceCDp0v/zyS7NRFOOwUpRl+RSGKchS8Pzxxx+NS/Mvf/lLRHGWm4cxBANFXbpwaSBkCAY6gOncpWDJzaoY05VCLkVG6wAO15GMFctQCYy/SncnheTnn3/eiLN00nL5P8M7MPYuV5pzczOKsh9//LFx8PL9UaNGmU3AKGTSrdsYHwqcdNyOHz/esKGgzDLoZGZ9GXuXIi3LpEBOR3C4dlE4p/P7X//6l+FKjnQPRxNzlu0NVX+uqCcPirEU68mC/ceYv8ybsXcpzLI/WV9yYqxgG3O2MXGWfcQN09gmsmKog9aSWo04ywuLjlkOoi5dujRwyfIi3lIW/9bSOarH1k1gTt6nWPfb300jugx8ATvn1LuRqquL8ePMY1FSsgh9+lyC3r38TwGV/ATWV1Ujv7IaayurzGt+ZRXWmtdqzNlUit9LHHHpaqF1SkrALhlpaJvoQXaiB20TEvyviQnITuCrB9kJCbWfJzTDNg3x6y0bP3bqb/lYX1wfe5duhMN2ya0NWZCLBE/jy6KKPr4Dmd/fifKaJKT8aw6Q2cXfqKI8v3u2dANwwbdApwHxa+xWUjKvZYYz8PmqsEOfy9Cr1wUBNf/o4Xux4Ksv0HXPffFpx/1N7N+czBQj0O7dr/6pO2+YKdSuWfNBwPnt2+9rwh60azdqKyHSTNX85mFg8rVAVjfgkl8CMq2qqcLpk07Hz/k/Y0yPMXhw/webqdBtN5v8ZUvw4r/9AveR/7oWfff07zrM9M7t12PpnFkYc8bfMfTQGG/iV/4YGAahJshhRYHWxqvl74mpISG3RnH2+yUbjFt2cb7fPDCke1tcOKYvDtw5dmc7RQy6aJ/6crHJq1+nDBPqgGERtqVUWDgTq1ZPxJo1H6K6un6jtKzMIf6wBZ2PhifIFWvbb8fouB7nIsMTyKXKV4Elm+ai1w5DkJ7YFt6CctSURnDzuV1IoHhbK9ya362Ym+X/3ZUUvQOX4uyEuYFOtzN2OaPVirMFJQW489E7kVKags57dsZ54+p3vf/ll0uxes1/ZRSI8eKb8PJLuGVeO1wz+yXsvXROwNld7rkbWePHx5hj8x6+7OUjgcKgVajDzkHPPc9v3oI2I7dyG6qhvArfffEZZk/LQPGmufi/7wMfDn7beRcc8PYLUT8E24wqbZenxkOcdYKmeElxbcyYMXVvM1QBBbZg96kVYzds2GC0Iro6ad5jeAEKg0zcCItCL52mFGcZK5WJYirPoRjLZfQ28VzrzKRAx42+rOOWG3xR4KMozMQYsBRkKVgylMLXX39tYrbaMrp162Y2BVuzZo1xkXLzLJsOP/xw4/xtLHGzMoYIYPxbJoZa+PXXX+uE6+XLlxsjIzdSY+KmaBSqKVQyXixFWSaPx2P4HXDAAY3yoThLLpWVlea80aNHGx2OQjNFWGpzjMfLRFGUomu4dlE0p3OV/cDyWSfuJRWNOEt+4er/2GOPmTjAtl2MKcx6M1HAZ6gI1p/9znrT9UyBOFLf0RXM8cVz2d9sa2tJrUacJRheLHz6oCQC2wKBZ6eMQk/Xaqzy9MPfRgfGpGH7uJyMy8pcLjcGD3oCHTocsC00O2wbNtYJrn6xNVB8rUZ+lRVgq1Dja3kUWQkUcRPQ1rz6RVz/77UCrhF0rbBbK/QmeODZQnGgnAQKy6qMO/bTX1bjy4XrwH9qbcrNTMGhu+SakAUjd6gX+aIhWHVjJySiAmv7nIxOpz4WeMqX9wKf3wLseBhw4uvRZLddHzNz1okoKJiBDh3GYNfBTzdgUZS/Fk9f6N9t+Lgb7sT9P1dj4uw8pCV5cO/xu2LsoM4NzqHjbMXyZ1FQODPgMy5D7dr1ZGRk7LhtM/dWAXd0BaorgGOeAgaf0KC9iwsX47SPT0NBRQFOH3g6Ltvjsm2byWa27r27bsLiWT+g37CROOKyqwNyozBLgTYpNQ0XPV/rom9qecu/dYRBCFxea7K0m4v1HAl0GwZ4/EuCW5M4y3n2qnfn4r2f/DFRGVeRIQyaY2Ovmcs24uHPF+GL39b654Tdu+HGIwaaZb5bayorW25iyK5Z8z5KS5fUNSM1tTtyco4wcWS5GiBSsmN0/NDzkFYQ6GYp7PgnJs14CcnpGbjw2frvJW9hBbwFFaguqIB3Y3nA73zPV9H4pkquBHe9YGuEW6f7NgkeOnBrBdytTZx98J0HsXHuRpS1KcNdl90VgJ/xfr/+Zl/z3u67vY62bRtuZBmpv7b5z30+1BQXw1tSYl6rNxXhrIc/Q1ZZCf75U8N5MrFbN7Q9Ks77Scx9C1jvj3Vdl3YeDxN+phWm2dNmoHJTJ7TbMANZRfkNatjn/f8huV+/Vljzrb9KW1KcjZYWl8RTFGVs11CJG0Nx2b8Nd0lRc926dUZotOEAoi2Lx9E5SeGR4m1TEuuTnJxs9k5ypvLycuPmpYOVdaUIyU3QwiXGlaWwybbQrUpxM1RifSkqBn/O9woKCkyYBZ5vUzg+NqxBnz59kJKSYn6CE+tPrqmp9Q/Ug9tlz6Ggu3r1asPRls/3WN9wifmSHVO4+rM8CuPMl3ycifmTf3Dc4Wj6kfGeKfSzf1qTAbTViLNXXHGFUen5tENJBLZ2Al8snADvittNM3Yd/hU6pDcUXvjZ0qWP4o/F/0GbNgMxeNDjSEnZuuKmFlZ7A1ytoURX636t9kWvuGYmeNAxKQEdkxJBR6zz94oaH676fWWDIXJL367YMSMFBVVeUAjeWO2t+72g2v9e3WuVF1Ux1MdZGOsWUsR1unXrHLr1Dl7Gxo0lcVMZCrKMU/ht0IZeO+W2MYLsQQNyMbBL05Zyb3ztImT/9iKKfFnIvO53ICHoS5nLlOmeXb8IOPV/QJ/RsVR/uzp20R93Y9myJ5GYmG3izCYn56LUW4NJ6wqxoaoa3VKScGiHLHzx4jOY+eFEdN1pIP560124duI8vPydf/fsu44djBP27B6SW01NBfLyXquNT1u/eU5SUgcT9oAbCyYnNc+GTK2q4yZfB3zzENBlN+DcqSj57jtU/vEHXCkpSB8xAold/fPlFyu+wEWf+596X7/X9Ti+//GtqhmtpTLLfv4Jb992nanOX2+6G113auiI/+jhe7Dgq2kYccwJGHWCPy5tsySzsdg0fxiE5d8FZslYwrVi7XeJLpyzIPDhxqiuo/DEgU80SzWizeT5b5bilg/mw1v7pPDooV2NW9YZrzvavBo77rUZy42Tlhs4Mt161C7424iezZH1FsnD6y0zMWTpviwo+LGuTMaR7dTxMOR2PhrZbYdHXRc7Rtt16YaDEo8E3Bmo+nMmvKtmw1uwDCkDe2FK2yRsXJWHvY4/CSOPOymqvH1eH6yAS7dt9Ua/mOv83dfIUmsW4kr0C7h57jX4qWIu8hM3ID9xI/ITCrDvgP1x9sjzYnLgRlXxzTxo0epFmPDsBCRXJmPH/XfEiaNPbJDjwoW3me8WCrMUaLeVVFNaippaQZWv3uLi2r9LUFNSjJriEnhrXym6hj62GMxHacsRWJ/TC7P2PABlKanolrcUu337AXq+8DzShkc/j2y52m79JVGcZVi0WNI/D2y5vVIoYB599NHGycgNn7alxPi0U6dODdskOk/p+N1SKTjmbEuUS0ftE0+E//+NcXSDY+i2RD22pjxbjTj7xRdfmNgcDGbMOBvBidZu51OArQmy6rr9EXj+0yHo7tmEtSnDcOLI1xoFMOfnc7Fu3RR07nwcBuwc6GqIBzlustWYq9X/md/9WhmDxTXD4zZiK4XWTrWvgb/bzxKQ7HjiF4rBm6s34OmV+VhRXomOiYk4qUs7nN89NnGq2FuDAoq4VV4UVAe9UuCtrg4Sd/3HxdJmZ90zPNahGxheoc65m5CAoqIK/LqiEHOXbMDvK4vgqqqBtRGP6NMeh5gNvXLRLTv0kuCox0t5AXCnXwBYN+RSdDjqhtCn/vgs8MElQLc9gLOnRJ399nQg4yj+PNcfvmTQLo+gU6fDsKqiCkfMWmjGp037tWuDlwd0x0OnHgdfTQ3GX3oV+g8fhbsm/Vq3m/u143bG2fs0HvevvHwlVq582dxM+3z1brCszKHo0eMsdOx4EFyurdd9VweMMWYZa5bplIlY/cp0bHzVMZe6XOgx4Rmk124+8NL8l3D3D3ebw585+BkM77xlbuTO/ORMzF03N2DI373v3di/+/6t7jJ45epLsPqPhRh8wCE46NzQS7i4KRg3B2O64OlXkJrp35SieZMP+GOqX6ylaJsX6AwvcbsxIyUZM1JTMDs5GVl99t9i4uxPywtMCINfV28yTd6la5Zxy/JhWEuljaWVxkX77Fd+t+nALlm489hB4K7YrTVx3jNxZNdNhs9XHz+yffv9jEM2Jyd8WAxvQQHC/fz6yUeo2rgRPXY+Eik5o+ErL0DxpH8HYPC1a4eS0mLUuFzo1H8neNLT4EpOgTslBa4UbhJW+8q/zfvJ5oGO83d3sv89c05ysnnlhoO+chdqyl3wFlfDu5FOXL8L1/6OCM+Y6a6tC5vAMApZyUhg6ITa8AnGgZsYIY5uM3b6na/cifKF5ahsX4nbL/IbBoITH/59MW2Q+T7hHgjcCyFeyVdZGeBSpYDaQEi1gmqwwOoQWulyRU34uKaxts+dlgZ3RgZ8yclYUAyUJiRjQE4ykuYFhtphvknduyPryCNiLaJ5j9+KnLM/fT4TVaXtkZi+DuXdeuPC8UegwhGSa9zveXj8oJ2R1EcxkZt3kLTO3OiQnD59OhgGgI5NpZYjMHHiRBPL1bmhWcuVppyjJdBqxFk+IWFcjXBJG4JF26U6Lt4E3v/5ZqStewFeH3DQmEURrfIUW3748VhUVq5D/37Xonv3M5q9CSXemogOVxvXtTyGf2jTjODqdLj6BVYjuiba3/3u11TPlrshaXaAjgzJMtiF63fpWreuFXpr3bq1Qm9TRd1klwvtkxLQzoZbcIZfaCQMQ7I7vFN3w1N/Qbs/P8F6dxe0v34B1q5dh6s//Qo/pmfB5fNheGkR7jp8DLKyMoEJBwErZgDHTgAGHdeSaLdI3ry3poubm1qYV/Pjf49u6nCf2ffrjvEB5VWF+G3RvaioLkVW+9Fo3+Ewk8eU9ZswdUPQbvYAXtu1DzKmT8aXrz6Pdl264oz7/XGsHpu6CHd/8pv5/eID+uGSg6JzJRQW/oQVK18wy4idKSdnPLp2PTEmx9oWgR+iEHMzXlYOX3kZasr5Wo6asjLUfHo7fAunoabTEFT3Owlr7vBvXOVMyf37o+1xx8GVkABXggcfLJ+Eb9fMQJu0trhg94uQnd7RvO//PAHgq8d/rPnd8YPa9wOONcd7gEYeFlGc/WH1DwH1emjMQ61OnJ0/fSo+fuQ+eBIScOrdD6Nd1+5Ye+992DRliuGdsvPO6HjhP5AycCA+f+5J/DTp/UZF3GYdLwxfsfhzYPE0FM17C5mb/Ev9bSpPSELKjuOAXqMAxqvN9e/M25ypxufDle/MxZs/+uM0Mn73P/bfwWz4FeOihyZXi7FtH/l8IaYvXGfyOHl4D1wzboAJfdIaUmHRbOOSXbv2E1RW5sNVCbhLXGiDfmiXOAxt3YOBTVXwFoYTXwuNKBspuRJSkDHuAcDlRvnMZ1G1IshpHSmD5vjc40G9gMtNxWqF3LQs5PuqsN5XjYSUdkhMaofkpHZol9oN6Qkd4Kvxh+doLLkSXfC0SYQnKxGe7BQkZKchoX2qX8Ct/WkOAff7hd/j/dfeR0JNAoYdMQxjdxuLja+8ioJ330H1+g1I6tIF2X/7GzLHHmZWfnAFCDcF4+ZgsSSf12sE1bDO01qB1esQWsMd66uqiqXoxjmnpMCTnm5EVbd5TYc7PQOe2lf7d+D7zuMz6s63k8Dl9z2Bt/K744DMlZhw9XlYfcsthqkzdXvoIbQ52B8TMW7pleOBhZMDiw8TGihudWQYm+eewNIZ/cH/c3fcvxgPJ3bB1KyG892X/Xujfyt+WBVPhipbBERg2yLQasTZpUuXmngf4dLAgQMbxJnYtrqidbWmfMECVC5dBndaKtL3GglXUuR/OFtXC+JXm1cn74SchCoUZo7DMXs8ZCpSVO3FdwXF4JL8/ukp2DE9cAn5mrUfYt68/0NCQqYJb5CdXb9JS7iWlFFwNXFc6zfLqv/dbqTl31SLS6yjTSluK7g6Ha71rlbrfuUr3bBK0RFgH1DUXV9Zjc/+WIfvVmzEL/nFYGgIJLnh45LJZA+y26YgKcWDSo/LCL4cM01JFM4Dwy/4Y+m2rS5C9ncPm9ekHY9G1yGH4fZPvsSPnQJjLR2wajke/8s4VC34CNXvX4zqrJ6oPvMTh6BZL25WGaGzVvSsEzytAIp60TPEZ1YgrRc968+rF09rhdM6QbVhWY3XwV8/luFtYjiLpvRB8Dl0jO/frg1KP3gT7Zb8hhOPOhpDDh5rDnvx22W4/r/zzO9njuqN68fHtglbfv5k46YtKKgXCt3uJH/Yg5wjkJ4eW7y2sKJpnYBaL6j6xdVy1JSXwVfG10if1Qqw5eXN6m5qjj4KmYfbHSjkUvA1Ym4C8qs2orSmAl4P4HX7f3pk90ZWWrtaQbhWHK49vl4UrhWIa9/3i8f1QjLzb3BsnbgcdCzPrcsnSHg2+Xjw2k1XonjjBgwZeyRG/OVkbJjwLNbVbnJh25zUqxd2mPQxCteuwUtXXISK0lKcdu+j6NB9Cy6zn/cu8HaEB5TcuLDXPgDj1XYfttkbFr7y/XLc9uF8lFb6nejjd+2Ci8b0Rf+cNi02pBrLmKFO6KRdU1QOj9uFO44ZhL/sETrkSbNUkPNiAzerX0itWLcCm1bNQXn+UtQUbjJirLuEoqwbrqqmfTd52rZF/U9W3e+zpn+O4opy7Dn6n0go6QhfxRoUf+wPw2FT6tCh6HrvPVjy/TeY9vxT8NT4MPa8i02sP/+8U4GaitpX/l3B+ajCzE/O32sq/O+Zcyoq6h8M1b6/OSKhKyUL7tR2cKW2gzs12//K+SCtvf/95CjGlbccvupNgJeb0JUBrgq4PFVwJVbDnVQDdwrgSknyu4LDuINfnPI6vOvdqOrsxoUnX4qyOXPw57+vgKfjTnAltYGvfCO86xeh+xNPwNMuGz9/fxaqNxWgS9tjkJU0yCz7t67VOvdqkAhrRFnO482UXImJdWJq4yJqRq3Y6hdTA0VYvxhr5tRmTPPnzsTYV1abHCed0hk7DdzN/F785XRULPwdrqRkpA8fBj40jHuKhzhb44O3tAo1JdWoKeGr/4fvFZRWYmV5FVZWVyPPW408Vw3+TPBhVbILq1LcKEhqPOzX651ysd/Allu9EPf+UgVEQAREoJZAqxFn1SOth8Ca2+/AhhdfrKtQQk4Oejz9VOv4h6P1YApZkzdm/AMdiiehuCYBRx7od8J9W1CMU+cuAcMF2HR571xc1ivwH42FC2/HHyteBDJHo/0Ot2GDN9GEFwgMMWA30qpGce3OlNEgSXK76kIKdEwMFF2dMV3peGVMVaXmJbCxpNLEj53621rjiiqpqN9dmiEKxg3ugoMH5ITcsZuirjNWbl24hbqwC46wDI5Yu7E4oJu3ta07N94CJHL3blfwD/zvuV1IDPWZ4xx+Xlm2FGUlv8CDGuR22B8pSW3N+fxs5sZNmFUS+YY1wVuNYe3bYvesdOyemYY1y4tw01tzQRcfNwjiRmHBKZJoWl1SgA1rvsbGVdPA3+luc1UBSTVtkZHUD0loD1elr9atGiyobnnR1JVEgSEFrlQ601L9S42Ll8NdXQBXu65w99oDPm8NNk0OcgGxH7t1Q5sx+8NXXQ0f59fqapRVFOP7Fd+gvLIEPVK7on/mDrWfV5vPfd76Y/3n+X9Q+37d3/YzzrMxrCZo3aM/cu0SOnWCp00blJaXorBgI5Kzs5G788D6vknlkvFU02du83ttv5n+q/0s6Pe65ePRLFEMJc722Q/Y4wxg8Rf+MAiMg+1M2b38MWvpquVPh+geRMzLK8Q1E+dhzgq/m3OnzpkmhMHhg0PHiI9Mr/mOyC+uwMNTFuHFb5eaTHfrkY1bjtolYoxxuqAbCxvgLfCLrgE/hYVNqjjDAViRNcEpuGY7xdeGv4cq7McP3sO0lyZgl6FjMLDAvylV9hE5WP/MnSj55lvzd9qwYci99lok9/f3r904jOFhGCamWRPdoHUCLjcUsw+dKvDWvFcw5fePkVQN/0+VD/t0HI7RHUfUCcHhBGKTJzeE8SbD50qFy5UGJKTDlZRVL+KmtocrMXLoIl9lCXxlG1BTttHxurH2b/8rahxOVHcC0va5HJ7s+k3ZqlfNRtn3QZuBxgrS46kVR/3O1MYcqqFEVKe4yu+D1prOuO1JTN3UDSd0Wom7Lj2vtVbTX6/NFGdryimw1oqspVXwOsRWI7qWVvvfK63Cuiov8uDFqhS/0Loq1YVVqW6sTnFjTYoLRYmR91tIqgE6eYFilw8FCQ2P/7RPDwzqGXpzpNbdEaqdCIiACMRGoNWIs3/88YfZ0S5c2nXXXeWcja1vm3R01cqVWHRgw+U4bY8/Hp1vublJeW4vJ5VWleKTLwYj3eNGScezsfeOl4IC2SW/LsdXGxvuVHha1w7GSekXYP3uVzpso00UgmxIAX/sVn94geCYrnyPDkqlLUtg6foSTP5lDaYvzK9bpmprwDiG4wZ1xkEDctC3U+DunqFq6b/hDnVTHX75aGlpKYrSM1CUloFNfE2vfU1z/J6ejqL0NpjTb+eQcDLKSuHxepHg9cJTU/vK3/leTe1r7Wchj3OcY4+P6bi6MmpMmc46BOTnrIvPB/5vn+h2+8VWDwVTNzzm1QNPAl2QiX4nZKL/FbWv9u/69+mOTIQrMfC1vHoN8ta8Bp8HyOkyHtkd9wo4btaPs3Dy8INQ7dhVtE/ecty6aTXmdemJOe4k/FADrM3MbsA9Z1MRui9dih2WLcHQvGUYuXYZXHR2can/FnSaGgdTaq1YGiyeOoVUh0AXWayjoFefJ39vEDLg90nAqyf4ufxrIZDhjyW98uKLsemTQIG263/uQ+ZYv/PYmWaumYnTJ51u3rpsj8tw+kD/701ONTV1Iq4Rcqu9tSJvNa74/DL8svZneLyAp8b/86+hl2C39rv6RV8eWycK1wrEDjHZLxbXCsT22NrjjZjsPDYgn9p8A8Tl0MJzwZ95cPlqkJKS5t/duLrabI7zxgFj8e2g3VCWnIK+K5bib5MmovO6wJACTWYW4kSGiKgTalP9Aq/52zmeKvLhyvsGbo8PrgSfeXXn9oVr1N/rxV93FdzrF8C17me482fDVfpnwPGuTv2A3vvUirXDAIcYZavl3Iwv0ePGBfvtYDb84u9NTaU//ICNr7yCyhUr4cnORtb48U2PPVlTY+b8H35egnenzceyJauQWVmCA7qkYHRuErAp+PvA/7cR/pqQPFlZQJskeNOqUJFcCG+aF750H2rSgdScvsjqOhztex3scLy2Nddyc6QarxcPn348qisrccI+1wIrq5C2a0e0O3Enk725jrghV5ATcvm8OXjrlmvMZyfcdBe67bRldqJ/YNYDmDB3QkDTz9jlDFy6+6VNx+HzBbh3a4rLUL2e3/tl8BZWwruJLkQvakp5nAs1lR6gJrLo5a0ugbu6BL6KQvh8HnjaNozbWbnoPbiTCuFOS0JRxRxUeNajTafByO4yqjYcgA0LENqh2lzjoOnwWv7ML6dNxqkf+4XuHy8Zgg45rXzz3lpx1odE1PgyUYMs1Iy6Ad6cUfWu1tJqI65SaOWrcb2WVsNXUX8fQnGVQitF19W1oitF2LW1wmtxCCE1uDdS4EKuy41Obg9yaA5JTkRGxSas+XYVkgrT0KXDrzjj/DORleDBh7PzcNbG/IAs9ilz4a2xDR9Ut3yvqwQREAER2PIEWo04q5izW77zQ5VY+v0MLDvtNOS3bYe8TrlIrSjHjssWm7h7KYMGIblfXyT361f3k9ChQ+uoeCO14LJwiqTmx+tDWd3vfM//GUME2N9jOa7MW5/3pspSVMMDL5ouhPJf7SxsRBYK0DU9B93bdAsSYOtjujIGqVLrIvDzygJ8toDu2HxwYxln2rtvB4zdJRcHdktB26pSh3OpoehaHeRsavINd9DyUe+Kr5CaUIiyzK7IGvfPuhvt8UvWYX5ut4D67rZqBd4fu49fHKqqhu/jK4F578M39DT4dj8bXPbp/6zK70is+5sCUZX/nOoqoPbV/h34fuCxjZ8TqqygOlihqhUMi6Wdu+HLocNQmNEGuevzMfbrqUgv9+/IbtPGNllY0Lsv5vfuh/m1rxVBziHOCTsvXogBS/izCANXLkVuaXGtc7GheNrAhVornlb48lFYPgcF5bPhSwJ8iYAvyYdO3caifecxyOq0R61Q5s/TxFqNR3p8JLDmF2Cfy4ADrg+oQcFbb6Ni4UIj5qWPGmWcdOHSxEUTcd3X/iXRD+7/IMb0GNMirWntMWe/fOU5/PC/d9CxRy+ccvfDdTHQ73r2VdzfOzB0Rv+VDTqkxAAAIABJREFUy/DZvkP813VZOX6b9jnmfPgeOuR0wahj/lofF9iEriirjQ/sCGNRF97C78CuWzbOeML8rLJ+g7wW6YzaTBkj1gq75jU5Ce70NnBlZGONOwsLCn0oRgIqPInonJONIX1z0LFjVgTnb2qtu7vWIcyHDA6xsHrdeiw68EDTZmfq/tRTSNtj9yC3aogHbcFu1kbCfDXGzulmdYYOCHC2Or4XSj1/Ym3558hf9xkY/96mzDaD0LHToWZzr+TknJbsLtgxOmLEsei5pq8pK/eKPZGQ/f/snQd4U9Ubxt82zejeE0pbWqCMsjeyBNmiLEUUwcn8i4CiAspSAQEZsmUrQzaI7L1XmS2jA0r33jPN+D/fuU2bdCZp0qba73nypL2559xzvnuTNr/7nvdTtX8qbRAn1y5H4KVzqOPbFCPnVU1B1RVXZuNKwn2V4XRxaIFp3UovuKWv5MlyJFyxsrQ89iwpeI4Nj4RRshTmchGMUTHALW18cmMxeEJTGPF5BQ9jVsis8EEWLMq/F/5M1izF9mWvlb9dy2HqK7Ul+n1zzmY8znPBJK8YfD3uU5XXSUmaH58NI54xBPXUsKzQctQMpGYVKFYLVKsKsFr4TGpX2i85EVKJECjj+4jUCIhl0LUAvjKlqxFTuhJ4pUeWGv8CmBkbw5VvAleRAM4iPpyFfDgL6NmEexbwORhb7KbXvmUrEB/cHDxhOoZMbQpnz6LVDtefx+NMZDKovkMDcxE+61JbCEzLS6a2WW0GajNQAzNgMHA2OjoaWVRds1jMnTsXbm5uWLx4MYwrqOBeA/NvcEPOffIUczfvxLZBRYV/SPH189olcE7milQUD1KIcMBWCdx6eYFnV3IJCjmUcfCzDDBasL0IoCqBVQKp7HUlkFoKVC0EsQX7k89kVQbpbqj4FXm3injGzGO0tCXmUz2d4W0mKlK88k3gIDBBZNROPH/+A0QiV/j5rQN9SaoNw8uAYvno3UdhePTkFV6ERiMrIQmW4mxYibNhKc6Cj0gKF+TBQpwNGX35rsblo9k3tsPs1BcskbLPr8LYrei6unT7Hr4NT8RLe06l2CAhFksbuKFDK6XCO7EBwPou3IlQUjQa3JmRywuhcenwWAF0K4DHZQDnhNiTyEwNBN/IBi4OgwGprBBEE1wmUM08u1+9KpEas3btIKxfv3AJ/5Nb15AUFwPXZn5o0qsfg47PheZ4yBfhSh5wNVuKTLOSyzzpC09razO0seLsEOiZrEvUjfj444iM/BMpqbcKmwgEjnB3HwtHh94wN+cASZXHvR3A0f8BAnNgZnSlD//b/d+w8dFGWAmssK3/NjSwUW+5uyYHNmQ4m5mchA0TxrDp9Jv4JZp2781+DsvJw5gHIXieW7L4Dq3o8DETwtbEBLZ8Hm5v+g3Zoc/x5oefov1r3TRJTcl9ZTKmDlQBt8VBb8gVyK9vhExqBLnUCDKJEeSWnpB59SnyMjYUCEzqe6b8NYWclK5JSSXnTDc5NLAgUu6AZ2WlolQVm1viUboct5NlyBCYwaWuM4b1bAovb7fC/dRRMeblxSAm9jASEs4gPf1h4SFForpwdOwNF5e3q+z/DuVrdGS72ZAn5sOye11Y9y9ael/eRZfw6iV2zPgf24WsDcjiQO9xdi5wdbnqYbpMAd4wjNVl3634DsJUIayaWWFK38mF8Dbrdixyg1JKpIdnzgeMjSCX0N8yWiWgfo0CXeW6JNAtgL8lQG9p24uB4sI2ZW/XBAYfOrIfU2+YwtwoF4ELh5KGu3DamdeikPr3i8LfTexEsP+gMfhuZa+IkoulBV6sqspVBlgLLAOUFa3s51z1V9Xl8VBgL0Bq13zEiSSIF8kRb2WFOJEAsTwgx6ji70W0CtBNKICbiA8XBlwJtpqwZ/LPV0BY+q6jSTy9cwmX/kiHVGwOt6aBGPI/7v1bG9WUgegHAK1Y0iR6fKvJ3rX71magNgMaZMBg4GxZY7506RJ+/PFHHDx4EJaW+rsjqUHO/tW7xuTlo9X1wBJz7JyVioEmcmSlpiE7IxM5WZnIzs5BTm4e8kxMIOYLkEcPgaDgZz57FpuaQWxqijyhEGITPnKNjKG7WqzqnQpiFqYESo2NGTRlP/OMVLaJjI0KX1f8TGCVAVZjoyLYWrAfvWaq9PPhG+/BSx7ENK8fvn5VZWBbIhMxM7hIkUIv9nWwxna/sr98PHk6AzExB+Dg8DpaNP9dvYn+h/bKffIEqXv3IT86Gjx7e1i/OQjmnTtrl4GC5aOqHnycXUBxBSvbJyUV+SmpMMrXTgVGy0dVC6KU5c9XtJ86X7grmnzWgvowlyYh1rkfXCb8VeruUdExoKrEdVzLKLxwahZwYzXQ+kNg8G8VHfJf93p0zD48fcr9U9q61c4yC/flPHiAsJHvqcyf7+YG7xPHQco2RcS/DMUf305hv360fAPs3FSXSoYnZ2PK/kfwT8+ElasFPHxsESIWc0XkioWfpSlaK8Fab7Oi45R1IvLzUxEbdwQREduRk1MEk62tW8PNdTgcHN6AQFCFPm9LGgBZ8UC/RUDHCTq5fr6+/DVOvjyJZg7NsK3fNgh5FedFkwMbMpzdunkDbgaHQuLbHML2XRGUlYug7FyItSwySH9LFdDWlm8CWr1BAFd5G/udXjPhnukh1ODGAUrznPXpDXxwQP3TUgwCrz5yE8cfJUIoFUMkFeMt+TX0x22YSKQcBCb4a+YKudAJMr4tZBJwKmEdQWDy0azoM19V2cp99pew/CjIwKWgBKw+H4I7Yclsy/ju3pjWpyEE5VgyyOWSAiB7EomJFwpzyeOZMyDr7DQQDg691M+xjvZUKF97vfYxHKIcYSTkoc7czsr8q8IjXdyxCf7/HGafn/Q5qvcwYDi76eQmRN6MRI4oB99P+x4WgiJImB+dibhVqopfnoUAztPbwNi0aCVWRnog7t4aASOZAG1b7IPIpC4HbdlDWghwi7ZVfrvez1mxA6jA4LJgLil+TYxxwD8EKXIhOjrnoGWrFpximBWFNELKwWDIi32e8l3NIWpkp2IZUARe8yGXVgxGS+TD2Ag8Mz6yrUwQa8VHrLkx4kyNESc0QhwfiDWWIxYyxMqkyFVDkGJpwoOrkA839hDApQC8ksqVU7xyEJasoXQduxauRMorPwgsY/DRz+/AhF9bcFrXOdaoP4KzG7ur38S1JTDukvr71+5ZqQzcvHkTzs7O8PJS74ZlaQc7efIk2rVrB3t7e+Tm5jKbUL6O33dBQUHIyMhAmzZtKjXf2saAwcPZV69e4dNPP8Wvv/4KP79aBaG+L9rrqZkYer9YsQ0dH9RYLoNQLIZQKgE5ljFoKuDDTCiAmakIpgJBIRBVhqrFIWmhOrUAoHLAlIOpymCVp4d/LpRT4h/xN1KDv2SbXBpvRlPXHiUydiguBZdSMkAWC00tTDG5HqdQLCuk0izcuTsUWVkh8PScCO/603V8Fmpud5KkJIT26w9ZRobKJDz3/gWhj0+VLR8VG5sgQ2COXDMLiOztYOfqCFtXB5S1fFTx5ZzgZ1VH2j8/wfrOL8iRCWH69SPAUsuqt+nRnHo2OxmYcB1wrhqPv6rOV2nHo/fi7TuDIJPlw9v7K3h6lA8Ps+/cRfrJE5Amp7DCVbbvvsOei4cCTpRV1CYlW4zpex/i/LN42JkLsOydFqjnbg3/9Cz4p2fDPy0LAZmqdgl0DPKZpkJjrQuUtaSwpS9kZUVWVjBiYw8jPGILZLKiGw8uLm/BybE/AzgaERNNT9rlpcD5BQAVd5pSpObTtJvi++dKcpn/bGBSIAZ4DcDibrpd+lzdcFYilxdA1zwEF8BXBmGzclEWAvA0FYJWlETlqt5gok+mKR7ObDkp+aEnS6TsOTI+AelGPOQJK15mXtr5MuMZc6DWhFcEdIuBXQ70msD25TnY/j0BNlSpXhGawtmCdofvR2HRyWeITeOsBqjo4uTXG6C5KA4IvQC8uAC8vAyIlVZtGRkDnq8V+dVSgTGRdemXoRIEzrl3D5H/41YmKIfTjK9h//HHlb2MS22/6cpLrL4QjNTsfNiY8fHzED8M8FMtZpaUdBHx8SeYbQHdjFGEvV03ODr1ZbYFxsa6vWGh7mTjXobiz2+nwMzaBoPdJkKeK4XNWz6w6KRZQbaMpET88c3/kJORgV6fTETLPiV9qNUdk1r7GSicTc9Jx8+//QxRtgiu7V0xbkDJolXi8HRkP0iALDMfPBshzNu5wMSxpHfwk6dfIybmIJyc+sGv2Rq10lKZndSCvwplbyEoLoDCWmwv88NRy0m8NDcGFbWqk1Ox6phuQBib8cEzM2HPxgXPqeY85u8aJwDiTIBYIxli5TLESKWIkeSDxDPq3Fijor5uubFwTX8Jt7x4uOUlwFmcCOc2o+DcqGeB4rV6gOjd04dw6yD3eerVPggDPh6vZcZrm+ksA1UIZyMiIvBxsb+Hnp6emDVrFui5oti0aRPq1KmD/v37V7Qre33w4MHIyeH+PxYIBGwl9pAhQzCglFoFanVYDTt99NFH6NWrFz744AOtj/7GG2/g559/ZoB2zJgxaNKkCb755hut+yut4Zo1a0CAduXKlTrtV1ed0Xw/+eQTNGzYUFdd6q0fg4GzCQkJoAI2ipDL5cjMzMTu3bvh7++PQ4cOwbQSxQfy8vIQHx8Pc3Nz2JW23F4uR1xcHBwcHLiCGcWC7gbk5+eX2lZvZ6caOn6QkY1+d4NKHJnuqvawsyyhNi1SohYpSRXbTJISwYuNBS82BrzoKPAiI2EcHg5xZCQkcXHlzk7o7V1olSDw9obAw4M9jM3MqiEr5R9y69mOqGecgFhefbzf/YzOxpecfA33H3zI+vNr9hucnPT8hUNnI9ddR3KpFNLEREjYI4k9Z125jPSTp0oeRIfLR3m2NsgUmONlvgmeZRvhfqocaXwzpAvoYQ5PL1f0beuFfk1dUNdWN0VRdJe1kj2J5zpBgDzEeY+G8+jVlTvUlaXAuQVAo/7Ae3sq11cNan3v3ihmA0DqshbNN+ps5MrLessqapMvleGrfQ9x5EE0K1i0bEQLDG7pVjgGuulzTwnWErSNF5dco9DQXMRsEBQK2yYWpV+7KSnXER1zgMFaRRgbi+BedzQcHHvDxrqtzubPOsrLABZ7ADIpMHwL0GyYTvsPTgnGmJNjkCHOwLgW4zC55WSd9V9VcJasfhh8zcpj6leFCvZFdtkFoOxT4uFpJEe3ls3R0EwEOv/04BsZITxHjE8CX+JxBvfFhcStC3zq4JO6jiVyE/bwHg78/AN4QiFGrf8TaTBCSj4Hbuk5mZ4LQC6DukqvpUgkagGF4gc1ghy2+emwy0+DrYkxbN2aFCh0C9S6TLlbUrVLN3tfJmbhhyOBzPubor6jOSb19MGw1iVvjrAd4p9wsDb0PAdrpUrQmm8K1OukCmvJdqOUiFu4CMnbtxe+YvF6T7ivXauza620jqJScrDqfDD+uhPBXu7e0BFTevBhJT+DhISzyM4OLWxmadmMsy1wfhumpu56HZc6nR9YOAdhD/wxsOtkWESag+9sBuep2qlubh36C1f3/AGhuQUmb9Hz3yUDhbMrD65EyqMU5FjmYPH0yt2EysuLw9Vr3GqkNq33wMamnTqntMbsU2jhoKwILgZ5pTm5mLk/AHwY410vGXx9GhcpiEl1n5WPfcnpWNZYiIyCwlhN0qRYHCqFbxtXFfCaIACzEyDgGiORMNAanUvAVYzoPA680o22ioKKZjG1q0igonxVeLyS8tWB6lEUFART6W/oRqB5QbHNig6kp9f/mLca6TFNYGr3Eh///ImejlLbrUYZqAY4u2jRIri6uiI5ORkLFy5kbOW33ypejTdlyhQG1yZNmqTWFAnOvv322+jduzdSUlJw+fJlHD16FKNGjQJBz5oQuoazL168gJmZGVxctBTplJE0Q4ezBKhpJX6HDh0M/rQbDJwtqyAYSa/fe+89Rvq1jdmzZ+PWrSJvvbp16zIlrq0tVyn74sWLoA8KaYEvGCl1332X+wNGwJho+7Nnz9jvdDFTW0fHkl9gtB2fobV7/c5zPCmmxPrV1x2jXO11NtT8qCjmyZgfGQlxZBTod/qZngnAlRVUgKOoIJlPIbQVeHqqLBfW2UAr6Ojc87VA1DK2V7N2F+BsWU+nhw4LW4PQF7/C3LwBmvuth5lZxXcWdToAPXXGwdbEEuCVgdikIhArTSnpj1bekCq7fJSKeF0OTsDV4MTCJaOK43Vv5IjBzd3Qp6kLLEU1pxhb8q7JsAv6A2lyG1j/EALwKqmYIHCxthOQFAJ8eASoX1IprqfLptq6DQldglev1kPAt0P79sd0XiBHURCnoqI2sw4FYOctzn7gp7eb4f2OHmXmJDJXzClrCdqmcc/Fg26kKTxrFQpb8r1WDrI9iI7ei5SUm4Wb6fPI1WUoAz1mZjoo1nH8a+D2RsC9PfCJ7m5wKc/jXPg5fHmBW+Hw02s/YbD3YJ1cT7qGsxkSaQF8zSsEsARiI4qpXBWDJ6/hBgrwyp6FMAsPxb1f5rBd3luwFG4Nuar3pQX1TZ7o5H9OHoNlxfHfluLp1Yto/9ZwdB01VqPckRKXAVwFtJUoQd1iIDc5Kw0peXlINynbs7G8g9PVK82VwihfBohl8LExQ9s61qwoTaENg0K1y9S8HOxViZiHnKqWqWtp+aYSNCEVbb2O3LVKqlp6LrDKiEuOxo47lxGeLYEd3whvN26MVt6tNcqVtjufehyEVWefIJDWOJNiyPsk3qx/EmamrsxH2tl5IKyttQOf2o6pvHYvH/jj4MI5qOPui9dM3mK7OoxpClFjVRuVfbHJuJOWxc4AeWuPdC3dZkUqycf2ryYjJSYKnUaMQufho/QxbK5PA4SzL+Je4PfNv0MoFqLh6w0xqlvl5x8SuhivXm1kYJYA7X8tFq79HRvC3dBGFI0Dcz9j0ycHA7pRRkWE6bnHtSfIKvax6QMemjhZcgCWwGuuGBXracE+h1zJ47XAboD9LOIzCMv5u/LZihi1wgDh7KX92xFwlrsp1LRXFHqMGK3WVGp30nMGqgHObtmyBe7u3LVAwIwEeqS43Lp1KwgeLliwoHDSBP1IYNe4cWO2D3EhGxsbtsyf2t6+fZttT0pKQuvWrRkzUqy0JjhLSl0CtIo4duwY23/Dhg2oX78+tm/fjgMHDjCFLalrSZVL8NfIyIiB3CtXrsDKygrXrl1jQHncuHHo2LEj647qJS1btowxIhoXgT9SAVNfK1aswNWrVxkIpXEMHz5cLZFheHg4fvrpJ5YHOi7VYyLVLD1IuLhnzx7s37+f2ROQopZAswK0kphx9erViImJgbW1NUaMGMGOq6ycpRpO3t7ebHtF8ytvHsTHfvnlF5DtgsImwcPDQy3lLM2D5kCPtLQ0ltcvvvgCrVq1wvnz57Fu3TqkpqaCeN13333HgLxEImEskHKjUFnTXMnylLaXNxc6R2TtQAJNegwaNIhdJ4YaBgNn6cKmOyjKYWFhgaZNm7KTXplYv349XnvtNfj6+iIqKgoTJ05kbxR6g9GFRxL3kSNHsgufLoolS5ZA8cHx+++/459//mFvYnqDTZ48GfXq1VP54KjM2AyxLX2pXxsej2dZuWwZbF8HK52C2YrmnB8RAfGrcIjDw5EfFYn8yCiICd5GRaE8WEeqWgW4FXh5QeDJqW3pYaRjbxXFHHacaY46vCzEC9vgvS57K5qaVq8/fPQ5EhPPwdn5TTRrukKrPqqikTQ5uVDdSoC1uOK1EMaWVjSlnAFSYTkTUrSzhz2rhp1+uiTAcf72G9iN1Qwa0GFJXXUlOJE9nsakF46EZ2yEN5u74c0WrujVWL/VqvV2fnJTgUUcwEts9RUc3uKq11c67m4Bjk0F6rQFPjtX6e4MuQNaDvzoEbc81M9vDZwc++l8uDKpFKvGDIc0P7/CojaLTjzD+kucGu6bfr6Y0MNb7fHcKwZrSwN+HqYCBkEUsLaVFbdaQSxOQGzsUURF70J2dljhMR0cesLRsS8DQHw+d8NTo0gOBVYVAKyxxwDPrho112TnbYHbsOzuMvCMeMx/tqVTS02al7rvvL/fL7G9m0Mr9Oz0Vbl9E6zk1K8FELbAkiA2r3RXdgKnTPlqJmIVrDklrBBkUVA8/vhmCuLDQtHijQHo/enESs+ROoh7EYI/v+Pg9rh122Fhp7ubtSoDLPCclRrxkMK3QrKJFVI8X0fK6/MK4a6qUpdT8MbkiJFOxfm0cI2hJpw/boFPbqFfboENQ1YUbBMCYBt9B7ZR12Gbnwa7/HSIZHmAuSMDtJK67dEt0xcvhKpqlJMecrSs30on56BkJ3LExh5BQiKnkiVf2RNhvfHPi77IkQjhYA78OKQN+jXTrUJGF5NRXKNDOn8FQQwPIl87OIxVtclZ+CIGK1+prrIa5+6IeT6q3tyK8Tw8cwJnN3FL8Cdt2QORuXaAv8L5GSCcXbxzMXKCc5DnkIeFkxeWOwWZXM7U7cVvxBVvJJdLcfGSH2SyPGZtQBYHhhoE7xXAVPVZXsZ2AqzyItBaAFup6HCOTI60nGw8TsgFeEawMzeGlMdn+9IqFW2CbgwRdGU+ryIOwHKer5wClpSvFpX8rqsyLgOEs1u/X4/shIawcH6GMfN083dJm3NR26ZYBsqAs0liPvJkPDgJ82CiXECuEp6zClsDYjAkkCO4Sdxl+fLlDL4+fvwY06ZNA9kXEOijFdTEaEhkRwxnxowZzNaAYCtBNgJztFSdBHXdunXDqVOncObMGRw5coTB1dLgLIFBArDEgKhvakMrpgkW0/hIrEeAtUePHowF0QruPn36oGvXrjh+/DhCQkKwa9cutpqa2BFB0LFjx0ImkzG4TLCXitkHBweDhIcUxJUIINJ4ygsCkDQX4l+kmCVfWIKp77zzDmNUBJYJSFK/BCg3btzIAC7B7LCwMHz22WcMHNO86PcHDx5g/vz5KnCWOFazZs0wfvz4cudH4yxvHvTavXv38OGHH8LHx4eNhcarjq0BgVRSSg8bNgydOnXC9evX2Tzat2/PGB3ZTtD53LmTCqQ/x759+9g5GjhwIFatWsWuFYqZM2ey6+jrr78udy5kt0DA/f3332eWDgSDFTcHDPHzwGDgbFUlh95M9KYePXo0e1NduHCB+XAQgKU7JhR0sSj2oTsS9Ab9/PPP2WsnTpxgytnTp0+zN35tVG0GCNgyxe2rV8wegcCtQnUrLeZBqjwy8vtk4NanyCJB4OHJAG5ZRTcqmtnhB7NhmbwbErkRevd8Dp5x5W4ilHW83Nwo5j8rFifCx3sGPDxK+ohVNFZtX5empSkpXDlbAfYohK9F2yBTRxvAjYTOhwK48gqgK/vd3gE8B3slGOvAClQVj6jpXyH9n38KN5t36IB627epNc3cfCkuPCd1LAdlqeiSIuzNBXizhRsGtXBDWw8tQJNaI6i6nZI2jIB9zGkkGtWBw5wnuj3w5jeAiNvAsE2A3wjd9m0gvYnFScxnNi8vHvXqfYoGPt/pbWT+xw7h4h+b1Spqs+ZCCJaces7GMrGHD2b0a6TVuOLFEs4OoUBZS+ra4l8+abk7wVplOwQrSSjiYo8gIvIPyGScnyeFm9sIODq8oVlhoX1jgMDDgO8gYOROreahSaP5N+ZjX9A+eFp7Ynu/7bATVbLg2baBQJhqEUiM3A34cjY0ceJ8DsIq2RGQPUFivqTUYRMgVFXCEowVoo6Q+/+kogi8dBYn164Az8QEY5auha1rkf1FRW0rev381g24f/JvNO3RG/0mcKBW56FhQbDIlBzM+zsQZ55wEM/dyRyjunihSxPHInuFAsuFIruFAhWvhLNgILWyNmEqz4etOIXZL8iMjPHUvKSKvL08Cd3q69abm4r3ZWe9QFZ2KKSSIkW8qZkHU7JLjb1xOyyj8Gajt6MFuvg4wM5CvWtIm1xo0iYh7AVC7tyEg70HnKWc1YRFJzcYW6iu6lgXHs/8j5WDisvN8nZj1hxUrIh7oPDnG3u2IzUyHD4t26B9/8FFrxkr78+1KeyjlNfKrVVgYHD2TsgdHN11FDwZDx3e6oD+rcr2Y5wdHIVtUYlsCT2JLya5O+FLz7JvPoeHb0ZwyM/suurUUfNVDcWhKan0VaCokgqVg6plwdTStyv6o+eqCoV1G10/9PlePMgGbnZ9N7iKuIJbBF/JbqVKw8Dg7Mlt6xF6k/N67DgsE23e0M3KlSrN6b/1YMXg7MFoF2x+VRdiWdE128U+BVO9X8KaLwF0AGcJ5pHgjRSxBDsbNGjAICRtI+5C3qhTp05lysodO3bg8OHDMDY2RnFbAwKVxHEUSluCm9OnTy8EeKXBWTqNBOmocBWBYAoaQ2BgIFPwko0mKU4JuBKcJWUogUcKUrMS1CVY+OTJE8yZMwck4lP2yyXRHx2XYCwpeSmoqL1CHVzeZXTnzh0GHOl4igJgyrYG1CepSWn8FDQGAtkEbUltSupQ+rk4n1JWzhaHs2XNTygUljmPpUuXMoBKuSAFLoUmtgY0DwKkBMKVg8AunU863xSkhiZWR+pZEllWBGfLmgsprWttDbT8AAsNDWUXOT3TG5Zk2nSB08moLAgVi8XYvHkzo/PkbUKyaLoz8ddff2Hv3r1M0q4IuiNBd2y++uor9OvXD19++SV7pqA3L/1OHxh0t6Q2DCcDBG2LHkWqW4K3MiU/4+IjNnFyYuCWrBGY0lZJcVve7P460wgOPAlSLfthWDv9FkyIi/8HAQFfsMIdzf3Wwd5eg8qaxSZBhbSYfyuzD1AoXJXAK20rsBaQ55eu4iotLzxrqwK4WqRyJeDKsy/2u4MDjHSgEMh99ox5F/NsbWHavHm5F2Jcem6BOpYDsslZRZ6C9MWV1LGDmrvBx0lPSpvqeJskBQO/cd6gqT2WwqYHtyxPZ/HkMLB3DGDjAXzVjh7fAAAgAElEQVT5SGfdGlJHjx9PRHzCKdhYt0GbNvpRxivP9/dJHyM9MV6tojbbb4RhzpFA1nx0Rw8seLuZTlJHxcWUgW1IKZ6m9OVTYYfgg2A4Zx5GYuzBwuMLhc5wcXmbqWmtrctZ1h1+A9hSoMaadAtwLHv5vU4mV9DJZ6c/w82Ym+hWtxvW9KrkZ3cBnI0UOSPIzBNBZh4I9vsIQXxHBmXTygB/TgI+U74WKmEL1LCOxWwlNJ33hgljkZmciI5D30WXd3W7bDQtPo4VXsrLzsboxavg5KkDS4viE9QAztINirUXQ6Cwavy0qxcm92zAimNpEgSqVDx0me2Ckg0D+eoWWDFw2zmoq45HpCbjqN3XcDJAt4RNjI2KQeACEJyXBpOcJJjIpeDLpDCRS2Bi4QgTG3fWpggaK9oXwOMSELgAEpe6veBYpY7BCCbGRUD6j+NbYRQjg9xRgi+GTiwxBhoPgcQTiamY+ozzJlaObc284GMuKlVhStAzMORXZOXnwtKhH/jmTZX2U1KelgFZqwOaUmFgU54RVGticAWDlbcrXue2c3Uz6Dn2ZRC+P5fKPAy2veWCRt6+hX3R68rRzz8ID9KLbvDTa9M8XTDDq5rV6gYEZ/NyMvDnvP3ITfWAjXsA3p9VsnCi4bzz/4MjUYKzR2Oc8NsLT7ib5qKjXQrs+Pm4nWqD+6lWaGCRhTUtAmGkAzirbGtAXrC0xFzBWghkEpwk9SupMknlSqCUojic/fbbb5k61NlZ9QYTKUgJ5pWnnFWsoibPW1LvkjKXVkaTjQEJ9MgOoTicpdpFBEb/+OMPZllAYJSAqHK8fPmSCfrI/pKUpIqwt7dn4r7ygqAkrfZW7lMZzhIPoz6L8ydatk/qXAqC3MVDXTirPD+CzGXNg8A55UdhDUHH0wTOElMjC1EF2FWMl84nhTK0pXNIgJb21QTOKs+FeGItnNXis00hZaemdLeAKDeBUIKqROfpQqhM0EVGsniSedNFTT4lVLWPYDBRepKoK4Lk0SSXpzsiJGWnuxg9e/ZkL9PdlQkTJjDZOrWnD5XaMPAMyOWQRERAGhEJSST3LI2OgjQ6BtKYGMjFqhWrlWfDc3ODiacHeHXdYeLuDp57XfZ8PGUJ6oivIFPGQ7c2RX7G+sxEZNRyxMfvhLl5M3jXXwETE5vCw8lzciBLSoY0OQmy5GT2M3tOTgLZDRT9ngx5XtkFZIqP38jCAmQrYKx42HM/8+zsuW0Fv9PP+rKO0DanYUk5uBmWihthaexZLClSVrSoY4m+jR3Qx9cB9uaafZHXdjxV3U6y+S04Zj5EDL8hRBNP6+XwFkc/Af/lOWR3+wF5rfRTkVwvA1ej07j4PxAVtRJGRsbwbbQLpqY+arSq3C6ht6/j0pZ1EJiZ44Nl60pVjSsf4VhgAn74J5jBqQFNHDFvoA/7Yq7LoKXiD7Py8DA7Dw+zxOw5o5iajY7XxJQPX5NYeOTfQN2ck3BBDBuGhXlLWNt0h411dwiFqp7clvvfgUnUbeT5jUL26z/rctjl9hWfE4/J1yYjNjsWI+qPwP+acUvP1InwPAlCc/MRmpePkFwxwmKeI9jEAdk8UanN3QQm8Bbx4S3kc88FD6ty/F3VGUdp+zw6dQx3D/0Fc1s7vD37J1YcSddx/9gh3D92EHWbtUCfyeVbN2hzbEHQMZifUC3Ylu/RHZlvFxXauhicjDWXwxGSyEGRLvVt8UmnOmhV10qbQ2rdJlMqQyo9JDLciniKpTlFf5MVnXaWJaK1m3afHTJZDnJyXiAvLwx5eZGF4+TxLCEUeUAk9IRQWPoSf+VJ3YtIw72IdEhkcuaX3tnLFl721VPIMi7kOaKfBcLVsSHs8rnaDfxOjjAq5f2wMzGDFZpTDgueMYbaWTAwLqX/7eSABAXPBb/HhoUiOzMTAmsbWLq5q+5brE1hH2w7148U1LfWl0Vtw2IZEBH0NDZi6lGRET0rfi/YRr8XbOdeM2b7KB5Fr3Hbub6MCvpSFCPW3d+9Kav34HJWPbzn+AozPi7flzAiT4LVsakIyBGzcXW3MsX/XEp+DlT1RWFx5CPwwy6oHDar73KIfYdU9VBwYec2xAS0gJGRDJ3fBzyaGo73dZUnQ+mAiro31TkGdmwlODvGnxO6bG+jKrj4K8oVm8Lc2XY3L19gHHmxax4KWwNlOEu90Ipl4i2kxCQv06FDhzK4eunSJSagU+SK4CypbEn9SUEKzlevXpVZTKw0OEsrpckPlsZASl0Cf6S8VfjIEuMh5W5FcPbp06ds5TXZHlAxeUWQhyqBRDoGWXNqEgoWRmCaxkahDGdJVdy3b99S6zARnCX/XVL1Fg9t4KypqWmZ8yCFMkHzefPmoXNnrnCkJnCWrBtatmzJFLHKQR625JtLwkkKha0FKZxpDnRMAtHNCwRZxW0NlJWzpcFZ5fOsyXmp6n0NxtaA3miRkZHsIqcLgoJ8QeguA91BUH5zViZJ1Ce9+Z2cnBigVUc5S2CY3gwUtcrZymTf8NrKpVLOIoE8bpWUtwqvW3q9rJC4yCGuUxd1/d5QUdvy3VSXkcqpMuus2cg4e5aBUVHz5nCaNhVmbcuveE7eqpIkVUVrxKN1ECfEwDzfHaZ5TpCSAjYxsVxlcPHxG5ubM+9WzkKgNJVrka2AkbCkn6EhnMU/br7C5qsvEZmSDQcLId5rXw9TejXAo8jUQv/Ymy+SVIbaq7ETsywY4OcKgR7AiCHkRTGG/KAL4O/iDPCzh+2BmV/ZyxwrNW6qbL79TYBvBnwbVlgYp1J9GkDj1DR/+Pu/w0bi6/sT6riNrLJR7Zw5DbGhQWoXtaHl3NP3PUR6Tj56+TphyYgWsDPX7/Ll4OxcZoXAFLbp2QgsVkCSkmXNk4BUtV6SB2iAYPggCO6OXZma1oH8aYMvAns/5PL6zUvAtJL2Ahqeoduxt/HJKa5a9MwOM/Ger+qXcFK90jyV7QhoW34ZFbW9ciLRMPsVezTwG4CGPu2ZKtasij5rJPlirPl4JCRiMXqM+QxtBnBFlnQdkrw8bPtqEtLiYzFs5jx4ttDxF+1ylLO0AmLBsSc49ogD/3VtTTGhhw/e76DbQpza5mzsyX04KWxQ2JyuhUONbGHv002jLuPjj4O8rhMSzkAq5QA0j2dW+N6h4l6axouELKw8F4wjD6JYU1opMvWNBqCVI1UVytfou82+A7JksO7nCcseXGGY4rE7JhlTn4WrbF7UsC7G1in6Ilxau/CAh9i3YBZ76d15i1HXV7MvyNSO2CzBbHq/c9C2CN5KriyHxH8HJEY85BvzIDEygaTFKEjafcbaKO/PtQe3rdhrChicX+r2gnaljoH64voMjnoBeT4PclNjONm7cscqpT8aR7ZEBnEpn182JiZwEPDKVZqmxR8B8iLhYtcOdRy6qShNGUxlylNVBari96q6vnRxnIvnT2Lsae7//odft4W1fQ2tN2AgytnYsKf4e/VDiDOd4OjzGO98NUUXp6m2D11mQAnODrzRFkPc4vCph6rCPjpXiDH+LfBTkyC0b+JZaThLykha1p6eno6zZ88ylawydKPXz507x/xIyTNVEaTUJJ9T8h2lQlmkUiW1Ja14JiEfgVGynWzbti2DuARnSQXbu3dvJqa7fPkyKxxFPrUEZen4BIYJyBIcvnv3LlNtksdrRXCWrDAJlhLUJRUueaKSBQMpgEm5SwCTVmkTbyKQS9BRoQAu6/RRYXpShxJzIoXuw4cPWV4UBcFo/jR+UvuSbyxxM4KxZOVAK8NJVEjjfuutt1hRMFL3koWANnCW1KblzYNAOY2XVplTHilvpBZWx3OW/GaJ7ZGHcJcuXRhUJhBLK9ppDgRjCc5v27aNzZcElNQ3gWoCs3T+KJ8E58l6VOE5Wx6cpblQwTFSA9OxSARqqGEwcJYuRrqYFN6uioTRhUcng046+YPoIujNQndaSDav8Jwlk2eF/JzeyPRmJV9aeuORapZOKkWt56wuzkDN6IOgqgLYcgCXg7jJwXchTCx7uT8t2VcuSJYb+ARZN4sqndPs+S4ucJkzp9BagLMXUAWxssxMtRNlbGrKebUWWggoebcq2QoQjKV9a3IERqdj4KorJabgYWeGV0r+sQITYwZjqahXj0acQue/EqkLW8Im7yVirDrCddop/U778ATgwS6g6zSgF1chviaHXC5jPrOZmc/h5jocjRuXXCKkz/m9evwA+3+czQ4x8fedMLWq2D6HbkRM3/sQUak5aOdph6UjWsDDnrvrXhVBS1cJ0t5L42AtedcmiEt6qtZFBIO0DY3CMOLJQ/jFPwS6fwP0nFkVwyxxjL1BBzHn7mZI+W7o2+hz5Bg7IogB2SIfXeVGpM2iolyFnrBkS3D2KzQIPgy+XGm+Sp6zVTWxizs2wf+fw3Dy9MboxSv1etj7J4/h/Nb1cPbyxgeLdHysMuDsStdFWHcxFOQZTjG2iycm9/RhN+cMKa48uYaojFTYRlxF34C1gEcX4KPjFQ4xJfUWEhPOsuJeOTlFX4zt7F5jUNbJaQAEgsoXYTsREIvfzgXjSUHxy+/6+2Jcd/WLClY4kXJ2UFyjPdt8CKdkV/BshHD9tn25Xb7IycP99GwGS1tYmrL3njpxcu1yBF46hzq+TTFyno4/ww3Ec3bf1X0IPBuIPJM8fD7uc3g5epWbmtOJ6fjw8YsS+1xs7wtf8/Lzmpx8DfcfcDfTunW9Az6/am+mqXPOdbHPwB+2IFDsjC+9Y/HlZ9zNuxoZBgJn9/26AvFBzWEiSsPwGa1h78YVqK0NA8qAEpyd8KAZEsV87G1/H8pa9A0v62F/tAt2tn0AJ88mlYazyrMneEmw7fXXXy/cTFYFBNyKq08VMJYKyNPqZVrFTDaTZC9AoJCCCksR0CQfWIKztHKagmAqtSG+o7CqpO3UVqHUJGBHtYkUilsq8EXAj6AoBfnGEhf6888/mZXCtWvXmI2A4hjkB0tt4uLimKqUioIpYtCgQcyWoaKgIlgEJSnIhpP6VhQEo9XkJFokcK0IKmxFKmAKOrbySnDFMQnOKjgagWwCuyRUrGh+5c2DIDkpVynvPB6PwVMarzpwluZEAkmCshTUns53r169sHbtWub7q9hO4JnGT0HzpvlTHug8ExAnlTMB4ormQoXi6HqitnR+FcXaKjof1fG6wcBZIvsikajwDaBIBt1NIcNnZV8LTRJFdJzaUuU68hIJCAhgd1kIwFKlOpLPExSmuxJ0l4J8R0garpDcE8AlcEvPJDGnam/Uj8J8WpOx1O5b8zMQkngXYY/ehbEEEPHGwQ9tSgDc/JhYnUyUVKtckSxOyaoonJVp8hLROcfAs7NCg3YLYOvVHaSG/a/EzlvhmHXocanTdbISMhhLULalu+HeFdPnucq6tg3mZ7h/AKTjr4PnorlqSKPxxQUA617jtEbTnwGWrho1N7Sdnz2bhajoPTA390b7dsdgbKxfFWpp8z/0y3y88L+NFn0GoPcn6lU1DohOw1d7H+JZbAZ8XSwZoG1Wp2Kwq6/8h+eK4Z+WhXsFsJaei4eZNAc+gii0Muehk5MXuro0gz3fROdDokIzCugalJ1XUKArFy9zSrd4ERgbMdUrgdgiGCssHQxVUBBM55MppUPyKSa/Yor+k6ejSVfOhkmfsXPmVMSGBqPfxKlo2r2X7g5VDM5elLXEr7yP8SiHU0t2beDAiuB18q48qNTdoEvpKTsZWN8FSI8G+i8GOowvsVNWVgiDsQkJZ5Ge/qDwdUvLpgzIOjq+AQsLriqxroNUtKvPhyBfKmNe69/290XvxvpTCSquUT5PhKH1uL9PdiN9YdZSPzdOE169xI4ZnF3Jm9O+Q8MOXXSXQgOBs9+t+A7CVCEs/Swxfdh0tea3LiIeu6KTkZCfD3eRAJ/VdcQ7LuqB1oePPkNi4nnUrfM+GjUqUrOpdeAasNP+g3vx1W1z2Bhl4cFCbuVMjQ0DgLPP/S/h/LYMyPLNUMfvCd6epGpXU2Nz+28buBKcvZNijZlPGkFgLIOfVQbsBfm4m2qNZDEfHe1SsaBxUKUKgqmbOloiT1CUvF1LCyoURRaVBOcoaFV0YmIiA7Da1AMiVkTqT4K32gSNhwpokfJTOXJzc5mal/xmaawEJammUllhaWnJQCWxqYyMjBJeuop2BERpvgQoFavNFa/JZDIGkckKQlHoXps5lTcPxWukDo6NjWV5o4JtFLSN8llW0HgpVxQESlNTU5kthKI9bae80RyoX8qHclD/lO/iPsPqzJFyQ2Cfzkdla1mpczxt9zEYOEt3LejuBUmOO3TowOg7Va0jvxG6k0F3KbRJJF0gpMalk6yI9u3b44cffii8OIjEK5sPk1KX7oxQUHuSXSvuftAdnuXLlzOZem389zKw5fzr8MArxMntMaoXd8eneJCHrTisqDhZ0u+/Q5qWVmI/s/btIahXrwC8FlgJMJUr97OxpWWZCX7ydAZiYg7Azq4LWrbYxnwx/yvx581XmH04oMR0323njsXDyi8M9l/IUeZ8L1jIkhHjPACuE3ZXzZRPzQJurAZajwYGr66aY+rhKDEx+/Hk6Tes59atd8HWpoMejlJxl4nhYdj+NfdF5qPl62HnxlU0ryheJWVj+r4HuBuWgjo2plj6Tgt0qm8YEIuUbwRrmcL29l/wN2sAKqJVPOry89DW2hLtbZ3QxtoMLSw5BfCDjGwsfRkLKlhGy2X7O1rjB2/Vf6TTJVIOvCrZEQRn5SIit3RfcfKvJPiamv4Ycal34GtuirVdv4WHqQZqTAOAs8d/W4qnVy/Cw68lhs/+saLLRCevP7t2Cf+sWgILO3uMW1fkB1vpzgvgbLLcEj9JPsABaVfWpau1CBN6eOPDTp6VPkSVdUArCmhlAf19nhoAWNVBfn4Ksysg24LExCL1i0jkVmhbQH/XqyKC4zKY1YHCJmJY67qY/LoPvBx0f7NXcY0OaDsBlklWEHpawXF8C71OU6HUtXOrg4+Wc8onnYQBwNktp7Yg/EY4sk2zMWfaHJjzdX/OiueKVpPcuj2Abe7Y8TTMzXSjuI7OjMbKeyUV+Iu76VjxXMHJbz9zN+JlVvixZRo+GMl9B6yxYQBwdveiFUgOaw6hVRQ+/UW3xSlr7HkxxIETnA0qKmrl/yIZG84FIzwxC1KZHDbmAgxqXQejuniCr7Bp6sEVbtJHEMAkQR0pG2lV9b8pyLqTVmyXFaREJcVvTQ5S1FJRs7KC/HjJQqI2ys6AwcBZuutBxbmKGxlT9Twq5KUNIVeeNkFWIu0ku1aYLCu/TjQ9OjqaHUe5up5iH7rzQYSf2tfGfzMDt8L2I/MFB26cfNfDz42T2VcUsfPnI2WXKiQjX1qf80VfzCrqo/jr5EN35+4QkPKmXr1P0cBH1VRb0/5q0v6PItMwePXVEkNe835rDPSr2arNyp6H1GMLYHN3KXJkQph+EwiYV9HnVUYssK4zkJ0ETLgOOOtZrVvZRJXSPis7FLdvD4JMJoaP99fw8CipdNPDYcvs8vSGVXh8/jRTfJHyS91IzhIzi4MLz+NhJeIzQNunif4UceqOq3C/8z8Cl5cA9j6IG3cTNxJe4WrcM9zPEOO5rB4kUFXO8oyM0MbKDM+zcpFWrDjQG/ZWqGcqBAFYArKxeaXbzdjyTdDQTFhMCSuCm5ArBpiVn4WxJ8fiWfIzDPEZgvldNFCFVTOcjQ0Jws5Z09g8hn47F16tyvcy1/h8ldPgwM9zEPbQH93e/wjtBg/TTdcBB7F+z0Gsl76JVDmnQhlt9xSTx0+Gs5V6S9p1MxDteklNvYvcvGjwTWxgb9+N81V+cgR5Pp3wok1LBmUJ0FLweKbMf5mzLegPIyNVhYh2I9C8FcHZVeeCERSXwRrPGtgYn3Wtr3lHZbRQXKMudt7obj2c7UVglgCtPiMzJRk7vp6EnIwM9PpkIlr24cBipaOa4WxWXhYWrFoAUZYIrh1dMa7fuEpPSd0Onj77DtHRe+Hk1A9+zdao26zc/QjO9j3A1fVQBMHmm6NU7cB0crAyOlm/bRsWPXOEj0kCzv7IVYav0VHNcPbumUO4dYBbuePTKQR9x3xeo9P5Xx08sRlthHGVyReJ6a5cuQJakq8r5WdlxlPbtjYDVZ0Bg4GzionTHRPymSVJM8mZSXpcG7UZMIQMbD3bDvWMkxFr7In3e6gPVmXZOYiZ+R3Sz5wFpFKImjSB0/TpMO/CVTjUNpQ9wJo2WQYXF64A1L89aPn2oFVFcNbalM8Kwszo5/tvn3qF8xPPdYIAeYjzHgPn0asq3F+nO1xZBpybDzTsB4ziKm3WpLh3fxRSUm4xUNK8uQ5VVlomITstFes+/4C11rSoDS1VJkB79GE08w0jQEuquGqP7ETglwK11Ts7gCaqRavS0vxxJeIybiSGI0jugRA0RAzUX2bmLOBzNgTkBauwJTATwUFQsVUCgdkxJ8cgOz8bU1pPwad+n6qXrmqGs+RPTD7Fvp27YeCUGeqNWUd7hT26jwM/fQ9jHg+TNu+GwLRyPsfXQhKx4ugN3InnVoJ0Ng7EBJOj6NrQGfjggI5Grb9uHgdMRnz8icIDmJl5wo3fAu7/bIWxTIYAX0vEOQmh8JF1cOwNkVD/NxTvxN4pMWk3CzfUsahTuF0ml2P5mWCsvhAMqhnVxM0KX/VphNd9K79KTHGNvt16KoQpApi1dILdyEb6OxFKPd869Beu7vkDQnMLTN6yRzfHrGY4u+rQKiQ/TEaWVRaWTFuimzmp2YtYnIQrVzmf4Dat98DGpp2aLcverbrhbF5OJhrN46rPr+8hRb9+gys9p2rvoJrh7B/zf0N6dFOY2ofi45+4mi21YZgZoCXytNSelptXNYg1zIzUjqo2A9WbAYOBs2TUS2a+VKzLy6vI1J4sBUjpOnfu3OrNVO3R/9MZOP10BXgxv7EcNG57Gm5W2i3nIssDI4HuPCzDwtYg9MWvMDWthxbNf4e5uc+//jyNWH8Dd8KSMamnD1uCacqvHrWRoSU6aedE2AfvRKrMFjbzQoGqVmHJZcDq9kBSMPDhEaB+D0NLUZnjCQ1dgrBX61nBnfbtj0EoqDyQ0MXkr+7ZgVuH9mpd1GbmocfYdYurdj53cFOM7VzNy6X+/gLw3w54dAY+KoJYpeUqPuEUYmOPICzhGq6iG3YYlSzOYmucg+8bNiws0GVtUrnPgtOvTmP6Rc67cVn3ZejjqcbSq2qEs+RLTP7EFO//9CtcfBrq4rLTqA/FcvW2g4ag+2jtCuhk5knw8/Gnhdeqk1EqxvP+xscmBdeIT2+Dh7PJKddx/37pS3frReagwYssSE0tkD3uOCxt9Lucv/gJfG3Pa0jLU7VWOjnspAqcVbR5GpPOrA5OBnDe+aPa12MFw7QtMKi4Rn09OqOFcYFFxXftwbPWwDpEoytSdWdaFbdt2gSkxESh04hR6DxcB8vVqxHOvox/iY2bNkIoFqJh74YY9ZoO5qNhfkNfLENY2FoGZgnQVjaqG87+uGYjNkXUQUfTKOyZ8y9ReFYjnL18cAcen+ZuBjfvE4uuQ6v+Gq3sNflfaq8ojE6rl1etWoXHj0uv6UE5oeJb2ni6/pfyWTvX2gxUNgMGA2fJW4Tk81T8SzkUfrBkd0Des7VRm4HqyMCfZ5rBlZeDeEErvPfa/uoYQpnHfPjoc+Zd5+jYF8391hrU2HQ9GKrWvfjkM7jbmeHKDP0XvdH1+PXWX24qsIirgpvY+ms4DJ6tt0OV2/HdrcCxL4E6bYDPzlfPGDQ8Kr136D3Evkj4rWXvI0OKVWOGIz83V+uiNgtPPMOGS6FsStP7NMT/Xm9QPdOLfwKs7cQd++OTQL2CnysYjUSSgZCX69Ev8jXkwlRl74H829j8mm6/TG9+vBkr7q2AGd8M2/tth69dBYr8aoSzVPCICh+17DsIvT6uHhuOuBch+PO7L9l5+fS3TbB2ctHo+tp6LQzrL4UiLj2XtRvVQIpJ4VNRxyixqJ8aAGdpqTct+S4e5uYN0LDB97A7uhAIuwK0+xQYuEyjHFV2Z03grOJYRx5EYdW5EIQmZMLICJg9sAk+ea1IOKHumBTX6HC/GeBlGsGypzus+1btTaKHZ07g7CZuCf6kLXsgMlct2qLuXAr3q0Y4u3jXYuQE5SDXIReLJi/SeOi6anDxkh/IXousDcjioDJRnXA26lUwuqwLYsM/MMQSbTp0q8xUDKdtNcLZbd+vQ1ZCI1i6PMWHcycZTk5qR1JqBl68eIG///4bH374Ie7fv4+IiIgyMzVy5MjCej216azNQG0G9JMBg4Gzw4YNw+DBgzFmzBiVmVJVtXfffRcrVqxA06Y1z8dQP6ettteqzMDBezNgnXoA+XIj9Or5FHxjzqfQUCI3Nwp37g6FWJyI+l5T4OX1haEMTafjoCr0/VZcZn0endwFzevW3qxRJDhx/XA4xJ5BgnFdOP4QqNO8a9zZ5jeAiNvAsE2A3wiNm1dlg/z8ZNy6PQh5eXHwqPcZfHz0V+RA23ndO3EUF7ZtRGWK2lBV9qWnn7MhfN6tPmYO0E8F+HLnuHsk8PwE0ORt4B3NCkhl54Rh6Y152G00GingKos3xwPMtDyHHm1Lr+arbb6p3Zzrc3Aw+CADs9v6bSu/2E41wVnyIyZfYp4JH2N/XQcbZ82gaGXyU7zt+W0bcP/E32jctScGTFavavztl8nM5/RqCAdhO3jZsYJfPfKvAvs/Uj1EDYCz8Qkn8fhxSRDhUe9z+Ph8A0TcAjYXKLE/PArU767LU1BuX9rAWeqQ7FHI6mDtxRDWf6t6NpjSqyF6NFLPy1xxjbZr9Cbqi5vA2NQEbnPUuymj6+Ts/v4rRAc9Q4s+A9D7k4mV676a4Kx/qD8O/3kYPDkP7Ye0x4AWOvLQ1SIbEZHbERQ0H2Zm9dGp4xkteihqUp1w9ssl63A4qRM1SdgAACAASURBVB4G2UZg9TfVc4OrUskrq3E1wdlTO9Yj5Dq3gqPzu7lo1bP6rlG95PVf3inV5qG6O1ZWqn7gZDWZmJiIOnXq1Fof/MuvgdrpVX8GDAbOfvzxxxCJRFi7VlX5d/z4cSxfvhzbt29nHrS1UZuBqs7A3jONYM+TIMWiN4a3r34vytLmHxf/DwICCMoaobnfOjg6qlesrKpzWZnjvbfxJm68SMKnXetj9sBqgEuVGbw+25KNwG9cEaDUnsth0/1jfR6t4r6fHOGK4NjUA74se3lUxR3pfw+CKQRVbGzaok1rw/XJ3fzFZ0iNi6lUUZvt18Mw5ygH7ke2r4dFQ/30n2DFEV5cBHYU+Mv+7x5gr7ktzIOHHyEp6TKSYQ8BxLBABoRCF7Ru9QcDBLqOj099DPLq7OPRB8t6lKN0rCY4u2HCGGQmJ6HT8PfQecT7up6+Rv1lJCVg+1eTkZedVaG9Qp5EhkUnnmHrtZfsGPYWAozv7l1UgCrgYI2Es48DvkB8/D8l8ta27QFYW7Xktp+bB1z5lSuYSIUTqyi0hbOK4QVEpWHF2WCcfRrHNn3Q0QPjuteHu235HsN0jWYlJ+OdBjMACWA7xAfmHfTvsVtaWoNuXsXfyzml6UfLN7CbXVpHNcHZ+VvmQxYug6SuBD9++qPWw9dVw+s3eiInJxyNGs1H3TrafwZVF5x9eO863trLFee79JkXPLyb6Co11d9PNcDZ/LwM7Ji7D7kpnrCtF4BRM/+dQpHqP7n6GwGtYm7cuDEmTlS9gRUcHMy21bIY/eW+tufaDCgyYDBwdtu2bdi5cydTyXbv3h0ODg64efMmNm3axMZKPie1RtW1F25VZ2DnjbFwybmCDJkJ3u7NKc8MNYKDf0Z4xGZYWjRGy5ZbIRCop24x1Pkoj2vj5RfMk5Cqdd+a2asmDLnKxpj0aw/Yp99HrLAJXL67UWXHLfdAu94Fgk4C/RYCHSupUtLTjMLDNyE4ZCGrkN6h/TGYm1e9X6e6U3t+/QqOrVzMitpM/H0nK8CkTRy4F8kKhVEMbO6KJcNbwEygXV8aHf/314Eof6D9Z8CApRo1Vewsl8sQHv47MrOeg2csQmZmENLS78PCwhd+zVbDzEzzJdflDSQqM4oVCIvLimPFwahIWKlRDXCWfIjJj9jS3gFjlq6B0Mxcq5zqstGN/btxfd9OePi1xPDZpYOjXbfDsf5iKMKTs9mh323njok9fFT9TGsgnA0MnIrYuKPM+93WthNk0hzw+bZwch4AG2vuxhkXcmBtZ4AsPnp8C/QoaYOgy3Oi6KuycFbRD31+kNr5VVI2RHwevunXCB91Kf19p7hGezT7AM5ZdcB3NYfzlNb6mJ7afR5aPA8v7t1Bww5dmE2M1lENcPbsg7O4evgqZEYyDBo9CO3rc0W5qjMUogATEyt063qX/S3VJqoLzn6wYAOuZtXFWLdIzP1inDZDN9w21QBnj65fhYgHzWBkLEH/Cfbw8mtjuPnRcGSXIi5hzo05Kq3qWdbDjv47NOzJsHcvC85GR0ezlc2//fYbfH1riy8b9lmsHV1Nz4DBwFmJRIJvvvkGjx49UsmpQCDAokWL4OdXhSqfmn5Wa8evkwwkZkfjxvVuMDOWI9f+AwxsMU8n/eqzE3//d5Ca5g9X16Fo0rhqq/jqa14h8Zno/StXSXf/+E5o68kta64NQPzsLAR7hrFUZA/fB7NmahQwqorEvbwMbH8T4JsCM15yzwYUaWn+uOv/DhtRY9+FcHPjfjbk2P3914gOelrpojann8Rh+t4HyMiVoFtDRywZ3pzd9NBbPNoLHCyo1vxdBCBUXS6n7XEJ1j4OmIyEhFOwsGhcAGh162V5I/oGPj/DedrO6zwPQxsMLTncKoaz5D+89rNRkIjFeP2jcWjV701tU6jTdlKJBFunjUdaXCyGzPgB9dsUwaP7EalYfT4Y557Gs2O29bDF+B7e6N3YueQYahicDXwyHbGxh9nNAbpJQDcLyo3nx4Hd73G7kHqWVLR6Dl3BWRpmTr4UK84EYcPlF2zUHerbY1IPb/ZZogjFNSqUmWKQO7dU3OGjZhA1stXzTMvvPjzgIfYtmMV2enfeYtT11TL31QBnZ6+bDZM4E/B8ePj+g++rNY/KB7/rPwJpafeYnRbZamkT1QFnz5/9Bx+fpbVmcgTM7Axzq3/Z/5VVDGfjwp/hyMqHyM9yhFPDAIyY9u9SzRKcnXx+ssrl3cqp1b8Gzu7evRs5OTn4559/YG9vj44dOxZ9nufn4/Lly0hNTWXetMbGxtq8zWvbVGEGsrOzmTcwT0shRxUOtfZQpWTAYOCsYmwPHz7E06dPQReWh4cHOnToAAuLSpr315762gxokYFtlwfDXRKIJJkp3ukdoEUPVd8kIyOQ+c/K5RI0aDAL9dyreYm7DlIwevMtXAlOxIedPDH/LS2/TOlgHIbYRerPLWAjDkOMVSe4TjtpWEM8PAF4sAvoOg3opao4qN6BynHr9kBkZj5nUJbgbE2IiCePsXcep/Yav/FPmFtr77l8IzQJ0/c9RHRqDvORJAWtj5Oe/s6uagkkvwR6zgK6z9BpquVyaQGgPQ1LiyZo5vcbzEx1C2j3Pt+LBTcXsHFv7bcVbZ2VlZAAqhjOkv8w+RA71/fBBwtX6DSfle3s/qljOL9lPRzqeWLMktWQyeX45eRzVvCLwsaMzywM6FFm1CA4++TJV4iJPQRTUw/4+a1m16Ba8fcXgP92zneW/Gf1HLqEs4X/q0ekYvnZYFx8zgH3DzuR1YE36tiYMo9sukb7+42DVaYNRI3t4TBGzdzoORcn1y5H4KVzqOPbFCPnLdbuaFUMZ/df24+AMwHINcnF5xM+R3173du4aJcIICXlFu7dH8Wad33tFgQCB427qg442/f7rXie74SvGsZh8sc1///kEkmvYji7f8VyxD1rARNRCkbO6gJrx+rzQNf4AlSjwb8dzr799tvIysoqNRME+Jo3b46hQ4eqQFs10lZiFyo2RjaWyuHp6YlZs2aBnisKWk1Nvrf9+/evaFf2OtUyIuhMQWI/ssccMmQIBgz493ghF88JzZfm/e2336JXr9qVpmpdKAa2k8HBWQPLT+1w/qMZeBJ3BTGBY9nsTerOQPeGNWfJU2TUTjx//gNMTCzQvPlG2Np0qLFnccu1l5j/9xPYmglw/4d/n49uZU5MxtUtsDw7lXUhHX8TPBcD8+GlpbvrOgNyOTA1ELCuW5np6qzts2ezERW9G1RFnewMjIxMdNa3vjs6suwnhNy+oZOiNo+j0vDV3od4HpfBwCwBWgK1Oo3rq4HTswAze2AGp7TTddCNKE5BewaWlk2YepFgmS5j6d2l2B64He6W7qxAmJOZU1H3VQhnU+NisfmLT9mxB37xNXy7VF1RKXXzuXPmVMSGBsPkzck4Fm+K4PhM1nR4m7qs4Je3YwU3AWoInH3y9GvExBxkVgZ0zVlaanDjMCsRWN8FyIgFBi4D2nHnVF+hDzirGOveuxFYeTYYUak5sDLlY2JHF2RtmQkn03ro6cIphJ2ntgHfuXx/Wn3NvXi/CeFh2PE1p4AjawOyONA4qhjOfrfyOwhThLBsbonpQ9UruKfxnCrR4NHjCUhIOM18Z8l/VtOoaji7d/9uzLhrBUfjdNz5uUDFrumgDX3/KoSzQf6XcG5bJmT5pnBv+RSDx5csjGjo6apofP92OKuY/+LFixkktetoh9DUUIhMROjo2pEVR9VFKOAsrYh2dXUFFX1fuHAh7OzsmGVCRTFlyhQ0bNgQkyapd40RpCTw3Lt3b6SkpDAF8NGjRzFq1Ch89FGxwqMVHdxAXy+eE7lcjidPnsDd3b1EYTcDnULtsIploBbO1l4StRkoJQNbz3dDPUQhXm6H93rdqXE5evJ0BmJiDsDGph1atdwBY2NBjZtDWGIWeiy9yMa989MO6OKjuSKjxk1agwFnzveChSwZMS6D4Dp+pwYtq3DXU7OAG6uBVqOBt1ZX4YFLPxS9J+i9QdGm9R72/qhJkRwVga3TJrAhj122FvZ161Vq+GFJWcyD1v9VCrM2WDKiObo10JFXtSwf+MUbyE0D3lwJtOFudukjZPJ8BDyejITEswyScYC2crkpPs4pF6bgfPh5dHbrjA1vKBWGrEI4e2zlL3h+/TI8W7TGsJmaQxB95L54n8eOX8CKE48RYs6pYwn4k6KyX1M1lVQ1AM4+efoNYmL2w9TUvQDMNtM8tff/BI5MAngCYGoAYFGKxYPmvZbaQp9wlg6YmSfB8jNB2HyVK/LmnhOJtbY+sM0VwKKTG2ze0rwAoI6mXmo3F3dsgv8/h1lRMCoOpnFUIZzdenorXl1/hSzTLMyZOgcWAj2tcNA4CUUNsrJCcPNWX7ahY4eT7ManJhEd7Y8LN38p0eT9ofop0tnqu71IkZtjcZt0vDuiFs5qcq5K23f34uVIftkCQqtIfPrLh5XtziDb/1fgLCV/1tVZOBqquqJj1eur0NO9Z6XPjQLObtmyhcFDih9//BEJCQlYuXIltm7dihcvXmDBAm61EsWaNWuQl5fHCpXRPqTktbGxgZeXF2t7+/Zttj0pKQmtW7fGe++9V2iFSXCWlLoEaBVx7Ngxtv+GDRtQv359VuTswIEDTGFL6lpS5RL8pTpHBHKvXLnCIOe1a9cYUB43blyhgpi8eJctW4Znz56xcdFqb1IBU18rVqzA1atXYWZmxpSsw4cPh6lpxRZvo0ePZuCY2lIhtrlz52Ljxo0ICAiAWCxmc//kk0/Qr18/nDhxotSckD/wjBkz0LRpU6SlpeGXX36Bv78/m1/fvn0xfvz4WsuDSl/N+uugFs7qL7e1PdfQDFx78Sdyw7hl2A4NV6NFXfWWTxjSdKXSbNy5OwT0T3PduqPRqOFcQxqeWmMZu/UOWzJZ5ZXl1Rpd9e6UcnQ+bO8tQ45MCNNvnwFmBuqXRgqxNe2B7CRg/BXApXm1JS47+wVu3R4EmSwPPt7fwMOD8xKtaXF20xo8PHOi8kVtCiaelCnG9H0PcPF5AkwFPCwd0QID/XRQUf3M98C1VYCjLzDplt7TLJOJmYI2MfEcLC2bFQBa7p9/XUS6OB1jT4xFcGowRvqOxKwOnHdlVdkaRAc9w+7vv2KHJDBLgNbQYvnZIFbwK08ig0AmxlAPYOHEITAy0mCkBg5nnz79FtEx+yAS1YFfszWwsqpEPYS/PgCe/g00Gw4M36xBkjTbVd9wVjGaU1cf4Kd9N9HEtD5mwxRyI8BkWmu4OlZ/wTrljGWnpWLb9AnIychAr08momUfDZe4VhGczRHnYN7KeRBlieDSyQXj+3L+vYYYz55/j6ioXXBy6sfeFxpFagSwotgNDoLQM6M06kadnddu2YJfgpzhy4/DyQX/QjsDRRKqSDnrf+4Qbu6zZkdt2OUl3hj9iTqnocbtU1Ph7JOkJ7gYwYlc1In0nHT8/cffEEYLYSQp+sPNM+KBb8zHG9+8AYGZemKfiS1LFgNWwFmClba2tiC4ef78eSxfvpzB18ePH2PatGmsGDxZW2ZmZjIbgtmzZ7NCZAQcydaAYKu5uTksLS0ZqKRi8t26dcOpU6dw5swZHDlyhMHV0uAsKUsJwBJkpb6pjYmJCYPFND5S9RJg7dGjBwgikx9vnz590LVrVxw/fhwhISHYtWsX8vPzMXLkSFhbW2Ps2LGQyWQMLhPsJaBKYJUKrFEsWbKEFVSj8VQUb7zBrRLt2bMng8EEU8+dO4cGDRowP+CLFy9i79692LdvH4PWxXNCQJb6+Pnnn9GuXTv2+suXLzFx4kQGsCm3H3zwAXvUhmFmoBbOGuZ5qR1VNWZg+9k2qGuciljjeni/x4VqHEnlDp2cfA33H3B3sRv7/gw3t3cr12EVtt5xIww/HAmEpcgEj+dyiozaKMqAeK4TBMhDrM9YuHyw0rBTc2UZcG4+0LAfMEo/Shh1EnDv/vtISbkJR8c+aO63Tp0mBrlPbmYG1nzCqX3enbsIdRtrodorNjOxRMY8aP9+GM1eWTSsOUa2qwTYTI8Cfi3wmBy5C/AdWCW5JPD+OOB/DNBaWfoxH1CRSHd2GgGJARh7cizypHmY0W4GRjcZXWVwdu/8mYgIfITGr/XAgP9xkNZQ4p9HMVh3KRQBUWlsSH28TOFwdRvsxcmY+PsumFppUATOgOHs02ffITp6L0QiNwb/raxaVO4UJDzn7A2k+cA724EmReqeynWs2rqq4KziGn2zwdcwkxhjLXJxxtIIX7zeAKM76dZqpLL5uXXoL1zd8wdE5haYtGWPZt1VEZxdfXg1Eh8kIss6C0umGnaB1/z8VFy+0oblsU3r3bCxKSoIWGFyqwjO5mSmovGP19hwNveSo9cbgyocWo3doYrg7B8LViE9qhnMHELw0Y8184a3Ouf4UsCfWBG0S2VXSxMz7Bi8X53m1bYPwdl3j6n/3c/qrhXMnplB7CiGIEGAXPdcyPlymL40hdRUisTBiZCbyCucTxP7JvhrUMn/9xVw1sfHhylKCS4S7CTwSJYKtI0sBwgqTp06Ffv378eOHTtw+PBhVois+BL+1atX48KFC4VKWyouP336dKxatYrB3tLgLA3+/fffR5s2bRgIpqAxBAYGMgXvoUOHMGLECAZcCc7evHmTKVcpSNVLUJfAKFkHzJkzB7///ruKX67C85VgLCl5KQ4ePFioDq4oeQRWv//+ewabFUHgl+ox0YPGSP39+uuvTCFcmtWDAs4SqH3rrbfYPoMGcZ93ZCPx4MED/PVX9X0fqygH//XXa+Hsf/0KqJ2/SgZOBCyGIJ77EG7U5h/UtdaNz051pTksbA1CX/wKodAFLVtsrriSdHUNVOm4kSnZ6PbLRVZMZutH7dCzkZK/owGMr7qHkPTHBNiH7kKqzBY288OqezjqHX91WyAxGPjwCFC/h3ptdLhXaOhShL1aB4HAkfnMalO0RIfDqXRX1/ftxI39uytX1KaUUcw8+Bi7boezV2YNbIzPumpZeObQOODhHsCrGzDm70rP9//snQVYlNkXxl86pbtswADFxu5cO9bWtetvu7v22t3dYMfauXZgN2LRDdLd8X/O/RgEJIZhBgZmzvP4qMz33Tj3zgC/773vKU4DGRlJWYD2PjQ0bBlEI5WjsOKm1038+ZizxtjZYSfa3F0PeDvlbn7wKcC6mGq8Qgbo/vo5Lm9cxa6gImBUDEwcwvVHLPY89MDF95zCzdZMk1kYkPL6xo6N+Or0EHbdeqL96GJ4tospnP32bSECAk9DScmYQX9NjfrCWYKn24A7SwANE86bW0b4lbBLA87y9mjjyt1RTdYGstpK2F9LDQ7PuO9RrS31WSG45tV1hZM3IbRyeOZERAYFwH7gUDQfwBW14itKAc76hPlg7769UEpVglUnKwxpIf7H7z29tsHLazuzCyLbIL6jlODs8h37cDjADC3V/HF8cTE+k/ieiBhdWApw9skFRzjf5h7i1u8eiha9+IeAYpQp/oby/RZwKs/8zJsBY//j7/4yuqq4ytmbq24iUjcSMY1iYHjGEGE9w5CmmQYzDzNkvs7Ebyt/g6wcf9+jClPO5rQ1IC9YsiKYOXMmO6pP4JFgKKlfR44cyVSuBEop8oJIKnpFoNHQMLct0Pjx49GyZctClbOkJCV4S7CS1LukzLWwsGA2BqTMJTuEvHA2JCSEgd1jx44x2wFSod66lbsYM6lUJ0yYAH19fSgoKGSvPKleCagWFQRWCVTzwC6ph0mBGxQUhHr16sHIyIgpeDdu3Mj+Xxic1dPTY2PJCZDJqmH37t2/jLuocUlfL70MiA2cJXl4QkICk6jT0xF6+kH+GPQUhZ4MSEOagdLIwIk7dWAkl4QQRVsMaXmxNLoUeR8fnScwJZmublsGaMU9xjm+wd2vP9CvgSk2DxLSL8DiPml+x5cUBazlFEihDf6Cfq8F/N5Ztte9OQJcmwmYNgTG3y/VsdDep/cAha3NXujrV4zCcjvHDEZyfJzgRW0KWIXVN75i/2OueNf0DjUxu5Nl8dYr8D2wPwvAj7sLmJW+r296ehJcyOIg/AFTN3KA1qR48yjk6v3O+7Hj/Q5oK2vDMVEZVb3z2DYIGc5SASMqZNSgWy+0Gy0e6qTdDz2w95EHYhJToaoox8AbFfxSyPrFLcTbE8f+ms6y+MfmPdAx5VOJLYZw9tv3RQgIOAUlJUN2ZFtT005oe4k1dKQ74PMUaDoJ6LZOuG0DKA04S3s02v8H+lbm1lxnqDVUbfXxyisCZHfx3COcfX1Mi6qY2KYa87gu6yB7GLKJoSD1LKlo+YpSgLPrT61HwvcEJOonYt1U4e8JvuYpwEWPHtshLS2GvU/I4oCvKAU46+f5Fa32c9/XLg/URr2GzfkaWrm9qBTgrMOS3YgPsUYlky8YuYQrsldho5zC2eKuB8FKvZZ6eG34GkbHjRDZNhLJZslYYr0E+xftZz6qpMYUNPLznKW2+vfvz6wDSJVKLKhfv34Mrj569Igd4ScLBAoCkaSynTaN228EKH18fAosJpafcvb69etsHgReiTGRNQF53DZr1oy1OXnyZKbcLQrOkoqVrAPI9oAgKC/I45X8ZQXNVV44SzYN5BlLKmKyUKCga3LC2Zw54b1OY6Ovkwp4wYIFzCaBggqvkTUC+exKQzwzIDZwlgyfr169ymTWZLxMXhj0hIKCvETGjRNtNVvxXB7pqEozA/++mQntmKtIzpRBh7afoSSnVJrdi6yvpKRA5j+bkhKGKpUno3p18ToSm3PiJ1/6YsHFT1BWkMO3FXz+YC+yzIlfw6F7+kH/xz2EyJrDYImL+A2wsBEd6gz4vQT6HwRsBpbK2FNTI5nPbHJyMCpXnoga1TnFY0WID7dv4N6h3YIXtSkkCTvuu2HTbVd2xR8tqmJpzyyLAn4Sd6wv4HFf5D6aRQ0lPT2RedCGhz+Ehkb9LEArBC/drI4XPV2Ey+6XUQ9KcPRyg1zOAQkRzjrfvYk7B3ZBTkEBY7bsg4Z+2Z4koAdnpJalInIUveqZMDBb2+RX64IHDvvx7uYVWNm3wm8z/ypqybjXxQzO8rw0lZQM2B7S1OSObgs1fJ4BR7K87UffAKq0EGrzk678+nm7uNE8mJoU4+h5ISPi7dF2lsNgkGoGpWqa0J+Q21/82AsfbLvrhrC4ZJhpqzCQP6xp2VsdkI8z+TnX69wdHcf+6pGY77RFDGffeb7DpWOXIJspi6Z9m6JbvfJT98A/4AS+f18CVdVqsG92h799XApwdvq6PbgSaYE+ur7YOo8rqlmhQ8Rw9r+je+H+jHtw23pYOmxaVYyH3gXuCQmBs2Qp0KJFC1j+Zol9i/dB00AT8xbMQ/jXcOajSopLAn6CBg/Okq8r+anGxMTg7t27TCVLhbVsbbnvG/Q6+aza29tj+fKfxU+piNe7d++YbUF8fDzzUiX1LClLu3fvzopf3b59G40aNWLjJDhLKtiOHTuCFLqPHz9mRb7Ip5agLPVPYJiALMHhN2/esL4HDRpUJJyl4lqUL4K6pMIl31qyYCAFMCl3SWS4atUqGBgYMDsCEhzyFMCF5S8vnH327BmzTyCoSqpZgssODg7ZcDZvTnR0dHJ5zpK9AkFoskqgHJCfLoHvuXPFlwUIur8qyn1iA2epMp2VlRV7k/E2IkmxIyIi2EakN5M0pBkQVQbSMtJw6V5taMulI1KtHQY0PSiqrsqk3R8h1+Hiwila6BdMAwPx+2E/KDoJbTY8APlf7hvREF34re5dJhktg07D3YAdjVjHUe23Qas1d8yn3MSXy8DZkYCWBTDzU6kMm+BcSMhN5n9HPngVLY7MmoSIQH/BitoUkQw6jvzPlc/sqgENzbBhQL2iCzu5/gecHMS1PMMZ0C5b+EKFETlA+wiaGnawsdnBjqULIzKRyQqEvQt5h55x8VgdyikDWQgRzu6bPApxEeFoPmg47PsPFsbQBWrDJzyB+cqezrK9qGOiwSwMCM4WFHGREXCYPRnJCfEYvGwds+EoMsQIzn7/vhT+AceZHQp939TS4j5/RRJ3lgJPtwLG9YCJj4XbxboqQCIH07NjpjOgJZz3J+1RhTh5dDblvicZTKkPRYtKv8whPD4FW++4gkAtRVsrA0xqUw3NqpWd1YHrCydc3bKWjeePLfvYw64iQ8RwdsWRFUj3SUeaeRpWjl1Z5HDE7YLnLzqBCnBaWS2HmemwoocnYjj7/vUT9D0fw8bxdHJNmFYu5mmQomcgfleIEM6mp8bBYck5JEVWhk6VTxjy9wzxm7+wRyQhcJaKR9HxeTq2T8CUPF21tLQQFRUFgn4l9Snlwdmcy0PwkmBp+/bts79MVgXz5s37RX3Kg7HEhkxMTFjxLVKUkr1Aeno6u58EfgR6q1SpwuAsecBSEEylewjGkn0CL+he3rxornSSm6e4pQJf5DlLAJSC/F4JyB4/fpxZKTx9+pRZEPD6MDMzY0XBfvz4gWXLlrGiYLwgz1dS/hYVBGdJKWtnx53QoQJm5L9LnrgUZL/w7du3bJidX06oDYLM5KtLr9O60hpSEGsjKwc6qS4N8cyA2MBZerIxYsQI9qbhqWjJU4O8NuhreQ2XxTOd0lGV1wwcfzYMxkkvEJOhgL4dv5XXaRQ6bje31fD1OwQ11eqob+cIZSFBCmEla9Lxt7jlEozfbI2xc6j4VSIX1jwFbSdsUxvoxX5AkFIdGM9/JmgzZXvfqcHA95tA1zVAMz5VSgKO2Nf3ENzcV0NGRoH5zKqpiYdPp4DTyfc2t5fPcGXzanYcd9L+Y5CT/+lvJYx+/n3rj7nnPrKm6GHJhgG20FAppI99bYCgD0CzyUBXDniUdaSnx2cB2sfsODpBNvLgFkb4xvhi1MVeCEM6pkZGY1IUVxBLWHD2+flTeHb2BCrp6jNrAAXlsjkKftjJFp2irAAAIABJREFUi4HZ0NhkKMnLZlsY0AmHooK8kckj2by2DQYtXVPU5WKjnP3u+g/8/Y8xf2oOzIrYniMzA9htD4R+A9ovAlrPKzpX/F4hQjjL26PdrSeiUrIWVBsYQmdQ4fCLLA7I6oAsDyjGtaqKia2rQ79S2ZxWurhuGTzfvYZl0xbMJqbIECGcved8D08uPEG6TDp+G/kbmlZtWuRwxO2CkNBb+PRpKuTlNdCq5UvIyhZR3V3EcHbI8n14nmCG8Wb+WDitgnvN8jaDCOHslb3b4PfBBjJyqej5P2OYW+dWyYvbfhTKeCQEzhJzoSJd5I9KQeCTrAUICNJR/bzerkLJbT6NEAciKEqQOL8IDw9nR/xJrUpBADMsLIwBWN7R/+KMjeZNKlqCt4IEjUdJSQnq6rmtcZKSkpial/JJYyWIS/ktKAiYysnl/3MVzY9sPwmS85OTvNcQMFZWVhYoP4LkRHqP4BkQGzhLylmSoM+fP5/JyUm6TRLu4OBgBm3p3/ThIA1pBoSdgcBYD7x/2QXKsplI1BmM3+pzhVcqYrx9OwhR0W9haPgb6tbZJjZTPPPaD3+dd4a8rAzcVwuvkI7YTLCEA0n6chvKZ7mjqQkD/4VqnXJ6hIwKJzn0ABRUgLnugBKfHn/FzF909Du8ecvlq1attTAxLh0bhWIOUyiXn/nnb/h/dSl+URs+e//vczDmnP2IuOQ0Vsxn/YB67FjyL/HuGHBlGpi8dkEgoKDKZw+ivywtLY550IZHPIGmZoMsQJu7gISgo3ByaI/JMqHs9nWh4egeFy8UOEtq070TRiAtNQUdxk5G/c49BB2iwPc9cQtjFgbPPMJYGz1sjRmYtTHlfM/4icyMDByeOQFRP4LRa85C1GxiX/htYqCcdXVdBj//o1BU0EFdm53Q1iolQPbtGnA6S2k49RWgb8VPiou+RkRwlrdHDRUqo6VhPzYO4wVNIadRBIzLGjGp87fedUVUQioq66qyvTWkiUXR8xHyFX6fnXF2Oeff/vuydTArSuEtQji7eO9iyAXLQc5SDouHLhbyTEuvubfvhiAq6hWqVp2OalWLUIuJEM7e+e8Kxj+QgyJS4bKkAxRVJUQtJiI4G+L/DZc2OyM1QQ9G1i7oP5M7kVfhQ0Lg7KJFi5g6lKcULYt1JYDZt29fZlXQo0fp/9wjyjmTP+2DBw8K7IK8YUnxKw3JzoDYwNlz586x6nz0xICk6SQHb968OU6fPo1Dhw7h4sWLvzyRkOylk85eWBlweNQd5unfEZ6hikEdS+e4tbDGXtx2YmO/MP/ZzMw05j1LHrRlHaTGIjuDhJR07Bhih56FHJMt67GWVf+Rq22hneKDQI0WMJl9o6yGIZx+L00BPpwAWs4GOi4VTpu5WslkPrNxcd9gYvI7almvFkEf4tNkwLcvOL2U89KduPco1LXzf6pekhE/8wjHnLMfQNYjdU01mYK2lnEej9GtdQH6JZvWlNZWzCItLZYpaCMinKCl2RB1mYJWCP6tDj1wKuIjVutqQzEzE45BP1C3ryNgXbKHTPcO78GH/67DsFoNDF+ztVSzGRydxIp9ETyjsDKqxMBZXzs+jnznM9IP/13DvcN7WVEwUgAXGmUMZ13dVsDPzwEKCtoM4mtrc0VCSi3oAQc96KjRARh+QTjdigjO8vZoX6uZUExRgkZ7C2h0Lp5VQkhMMlPRnsqyy2hvTVYH1dGkqvA/xwpL5q3dW/D50T1mvUEWHIWGiODs+Wfn8en2JyQpJGHi5ImoqlNVOOtfBq1ERb/B27dcdfuWLZ6xYnoFhgjhbIdFjvBI08N86xBMHP1HGWSijLoUEZz9d9sW/PhaD/IqERj+T0eoaWqV0QRLuVsJgbPkSxoQEMCKZZVVEBx+8uQJyAaAlLDSkGZA0jIgNnCWJOkknyfDZDJXJpsDCjIuJgn3nDlzJG1tpPMthQw4B95B6LdJrCc509loazW1FHot2y54BRvoqFm9eoego122VWunnXyHa85B6FzbEPtHitDTr2zTLnDvsY8PotJ97vMvfcpryBmUc7+0sO/ArqZ0DgkQou8hL8G8yupqapbMzkBGpuij1wIvjpjcSJ6J5J1YrKI2xRz7J/9ozDn3Ea4/YpnKjTxoswHKk43AvRWAuiEwlyskJo5BVcQ/ufyPA7RajRh8Iz/REgUpwb2dsE5XG8c1KqFGSioc7VdBo25/gZuNDArA4Znc8VsqpEUFtUQV73wjkZSagWr6ajDSUMaJlz5MLesfmchOMhAom9S2OtSVuOODgsaJBbMR7OGKjuOmol6nQjzPyxDOurqthJ/fESgoaGWB2SJUvoImo7D74kOB3c2B+BCg5zagoRC8xUUAZ3l71FKzEex0OkBWTQEmiwUH2aTSJhUtr9DchNbVmKexqqIcnP2j2feLOqaaJd6HBaU+3N8XDnM4qx2yNiCLgwJDRHB2/rb5UIpUgno9dcztW/6LtdBnbUjIDeY7S/6zBYaI4Oypsycx/50mTGQj8Wz1cFG8W8W3TRHAWbf3j3D3UAIy0pRQucE3/DZBtNZUYpVcCYGzVISLvEqJxwhiDyBWayYdjDQD5TQDYgNnX758yT4I8loX0BOU58+fsyp8PG+Rcppr6bDFMANH7rWEhUwQQjJ1MKTDazEcoWiG9OUrmb6fh4aGLRrYnYCcXNkcQT7/zp8dmaZwXdkNivKyoplwOW41bnlVqGdEINCoJ0wmHS/HM8kx9NsLgWc7AbsRQO+dQptTUNAFfPnKeTU2bHBGtAV8hDbqkjcUGRyIwzMmsIZGbdgJPYv8j0V5RnviltetXzqcUp+/X7K8wuIZoH3nEwkdNUVsGFgPHaqpAhstgZR4oPcuwE68fwnmAC0paJ8yH1EO0OoJvghZcJYamGaoj0eqKmivXQfbep0WuM2rm9fA9eVTVLVrhH5//yNwO4XdSJB9wtG38A6Pz76smr46PEPj2P+71jViYLa+uXCUUd+ePsb17euhrK6OSXuPQU6hAO/iMoKzbm6r4Ot3mPlk2tjsKtuHlu8cgSvTOWuQWS6AagkLZokAztIedX/1AgOqzYFMhgy0+9eEWuOSezkfcvLCljuuzEbFUEMZUQkpSE7LYHuS/I43DarPfOlFEQ+PHsTb65dYUTAqDlZgiADOOtxxgPdTb8SrxmPxzMXQUMxzMkEUExZxmwmJ3nj+vAPrpWmTG1BXL8CmQ0Rw1mb+v4jNVMGmJnHo349T8UpMiADOnlq/GRGe9aGk6Ydx60ZJTCrZRCUEztKReypwVaNGDSaUyxtkOylVs0rW1pfOtvQzIDZwlrxFatWqhSlTcv+SGBgYiFGjRjHLg6pVy+8Rn9JfWmmPRWXgsfshpPpyR551am6BnXmvom6pMK+npyfi9Zs+iI93L7Oj35EJKWiz/iFiklKxaVA99G9gVmHyK6yJRFz+BzrvtyAxQwkqC1wBZeGAEmGNT+B2qHL4joZAQjgw4SFgwlUlLUkkJHgxO4OMjCTUqPE3KluML0lz5e7e+0f24v2ta4UWtSE42/tS71xz01fVx/2B9/meb1hcMnug8sg1FApysthg+Rl9vFYARjbAJCe+2ynLC1NTo5kHbUTkM2hpNckCtAICsBxwNlJOFqOMDeGloIDRdUZjTqPin/gJ+PYZp5f+xdIzcPEqWNStJ5JU0RrSw7G8QQraKW1rYEBD4X8eX1izFF4f3qL5wKGwHzA0/3mVAZx1c18DX9+DkJevxPaCjk5LkeS8WI2eHgp8uw7UGwz0LQQU8tOokOEsb482Nu6Gasq2UDRVh8H/Sv4ZzptKYFQitt51w9k3fr/Mrrq+Ou7NacPPrIt9TWJsDI7MmojE2Fh0GDsF9TsXYE0iZDibnJaMpZuXQjlBGUbNjTCpM3eaqyLEd9dl8Pc/CgODrrCpuyv/KYkAzu44dAib3IxgoxiEq8vHVYRUFm8OQoaz7+5fxPOznNe4dWsfdBgqQRYRNGkJgbMzZ87E58+fC9xrUkVt8d6G0qulGRAkA2IPZ+lDgj4sDhw4IDVJFmSFpfcUmIGjdxvAVDYawTJmGNbukcRlisDE+/cj2LytLJfBzKx0FW8zTn/A5Q8BaGulD4c/mkhc/vmZcMo/+lBECoJrjIHR8C383FJ+rnmyCbi3HLDsCgw9U+Jxv3s/HJGRz6Gv3wW2NrtL3F55ayAlMQE7Rg9iwx60ZDXM6/xaQVkYcJbaJyUbedCSHQnFCoUjGDFyPFCzS7lJW2pqFFPQ0p6hgk9U+IkKQBU7csBZuvejkhJGm5ogLTMdS+yXYKBl8YrRUWEiKlBUu3V7dJsqGu9eOiY+4egbBMck/TLdk+ObscJvogjfTx9wbuUi1vTEPY5Q18mnn1KGs+7ua+HjewDycupsD+jqiM5Colg5DfkK7G0BZKQDg08A1r8V6/ZcFwsZztIejXT1Qw8zTq2vN7YulGtqCz6+Au6svuAG0jMyf3n124quUFYQjV3Ny4tn4HT6GJTV1DH1cAHqdyHD2Z2XdyLsfRjiNOOwcdZGoeexLBukYoyPHnMPmOiUVr4ezkKGs3FRoai79hXr07GLLNq0K8RGpSyTI8q+hQxnj6/chmh/G6jpu2L0iorz8IDvJZAQOMt3PqQXSjMgzYDIMlDmcPbvv/9GdHQ0vLy8oKysDGPjn8eV0tLS4O3tDX19fZw8eVJkSZA2LHkZuOa8HCphjmziNewuobK2jeQlAYC39y54eG5mxU/s6jugUqW6pZKHyx8CMeP0e9aXy7IuIvORK5XJiKiTsKMToed5GlEZ2tBazhXmqXCxsxEQ5sYVvqECOAKGh+cmeHvvhpKiAZo0uQZFRdHAJQGHV2q3vbhwGk/PHC+wqI2w4CxvQvM37sCpsGrsv392tcaUttVLba7C6Cg1NTIL0L5g0IBUk/RZWKzIA2fp3msd/8R8Dw7sHOh8AM2M+fPiJCsDOi5OMWLddhhU4XIrjHjqHgYn9zCQt6dLQHSBTZIqkdSJooobOzbiq9PDgv2RSxHOuruvg48vFaJVZao+Xd3Wopq2YO06bQEIBGpZADNLUKxUiHCWt0fbVRkGAxkzqNTRhe6I2oLNr4i76i+/jaiE1FxXkfURWSCJMsjvmTx17QcORfP8FN5ChLP+4f7YtXcXlFKVYNnJEkNbFKAoF+WERdy2l/dOeHpuYTYyDRvkA7yFDGeXbt8Lx0BztFP3xZFFZV/0VsTpzb95IcLZJ5cc4XzLnPXTsGckmvUQ3E+9THIhjE6lcFYYWZS2Ic2ANAN8ZKDM4SxVBoyJiYG7uzuDs2ZmP4/SKSkpoWHDhmjbti0MDQup9MnHRKWXSDOQMwMn79SGoVwyQhTqYkiryxKdnI/OExAWdg/a2s3RwO6YyHMRm5SGNhseICI+BWv62WBIEwuR91nuOkiKAtZyVa9DG86Hfs+/y90U+Brw2yPA1ZmAaUNgPP9H63O2HRZ2Hx+dOQsDW9t90NfryFfXFfWi3eOHITEmGj1nzYdls9xFbYQKZ31fAIe7YFXaMBxI68HSObltdfzV1bpcpTY1NQKfPk1DZNRLwQBtPnAWg09hd5I39nzcA2M1Yzh0dYCJukmReTk6bxpCfb3RsEcftB1ZsqO48clpDMQSkHVyC8vlLautqghTbZVfIG3Dyto4P1m0BSLDfL3hOG8ay8XI9TugXzmPXVUpwVl3j/Xw8dkHOTkVBuV1ddsWuT5lcsHhLgC91+ynAV1WCTYEIcJZ2qOyoZloazSYjcVoTiPI66sINq4i7lp82QXHnvvkuspIUxkv5gv+II+fgX68cxN3D3JH8Ek9SyraXCFEOLvh9AbEf4tHgkEC1k9Zz8/wyuU1j580Bn3W0nvNwCAPXBcinPV2c0HbQ9yeuTFYF7Xr8/dgrFwmtbBBCxHOOizZjfgQa2iYfsaIxf+rcKnia0IVGM4mff6MuAcP+EoD7yK9adz3cGlIMyDNgPAzUOZwljelixcvwsDAAC1aFFIhVfjzl7YogRk4+2oqdONuISlTBu3bfIKKvGh+sSgvqU1KDsLr132QkhIGC/MxqFlzoUiHzvM6tK+ui1PjJfQH5yIyHLq7H/RD7iFE1hwGS1xEuh5l3vihzoDfS6DfAcCWO5bPb5DykXxmk5ODUbnyJNSozhUDk+Rwvvcf7uzfkW9RG6HCWcdegNcj5om5XWMuNt9xZWkf3qwyVvYpHQW+sNY5JSWcKWijol5BW9s+S0HLp79zAXAW1t0x/8l8XPO8hqbGTXGw88FCh/vhv+u4d3gPK5Q1dtsBVNItfpGy4OikbHWsk3sowuNSsvusrKuKljX00LKmPvu7krI8Tr7yxYNvIUhMSYe1sQZTPlOhN1HHA4f9eHfzCmo2aY5ecxbk7q4U4KyHx0Z4++yBrKwybGx2Qk+3nainLHj73k4A7TGKsbcB86bFb0tIcJa3R3vUmAT1dE2otzCFVk/hqbvzm9juB+545R2B1PRMeITGgfb4SPsqWN67TvHzUIw7Ti2ei0DXb/krvIUEZz94f8AFxwuQzZRF035N0c1WtIrgYkxf6JcGBJ7Gt28LoapaDfbN7uRuX4hwduraPbgeZYGBer7YMFdCVbOUXSHB2dvH98DNiSvk1m60LGo3E9OHWELfsXkarOBw1qv/AL4zqFynDqqe/5fv6wu6MDY2FqmpqdDW1oaMjEyJ2ytJA3RSm/6QSFAawsuAq6sraJ1JaCkN/jMgNnA2ODgYX79+RePGjaGurs7sDK5fvw5VVVUMHjwYKiqSDdD4X1LplYVlICktCdcf2EJLLh0Rqm0wsNlhacIAhITcwCcX7ol43TpbYWjYUyR5ue4chKkn37G23y3uVCogQCQTEWGjGaHfIbuL8+CN6rAdWq0qeFXcL1eAsyMEOrpLe5b2LnmGNmggtb7hbUvHuVMR5ufzS1EbocFZ3ppRh7O/ABqmOPLUC8uufmFD6F3fBBsG1AMdQS4vQQ+naD8RoNXRbs6gnbw8VwCl0CgEzqZlpGH0rdH4GPoRAywHYKn90gKb2jd5FOIiwtFy8Eg07cv/Qwq3kDg4uYUylSxZF/Aq27PPclPNLCCrx/4Wl0iIjsbhmROQnBCPgYtWwcImR9EzEcNZngWKrKwiszLQ02svLmkpeBy3FwPPtgt+wkBIcJb2qH6KCZrod4eMnAxM/mkOGYXSe49/DozB8IMvQcVEl/xWG2Naiq5IsOsLJ1zdspatyR9b9rGHXdkhJDi7wmEF0r3TkWqRilVjBFRFi//uzR7hi5fdEB/vCiur5TAzHfZz5EKCs29fPET/S/Gs3Vf/qwUDU9E+OBDr1AsBzpJfsOOif5EUZQHdap8w+M8ZYj1lkQ5OCmez01tSOHvlyhVcvXqVcR5e2NraYtOmTSJdwsIa37FjB5ycnHDmTNH1L3r16oXExETWnKKiIkxMTNC3b1907/6zgCSdCn/x4kV2l3Rd7969MX78+DIH0cVJ8sOHD/Hp0yf873+CKeZ37doFArTbtm0rTreldu3BgwdhamqKbt3E68Go2MDZlStX4s2bN6BKgPT0on///khJ4VQfzZo1w4oVK0ptsaQdVdwMHHv6O0yS3yA6QwH9On6ruBMVYGZubqvh63cIKspmsLM7DhUVzmNKWJGQks7sDEJjk7GsVx2Mal5FWE1XqHbCNraGXtxHBCnVhfH8pxVqbgVO5tRg4PtNoMtqwH4qX3P29TsMN7dVIMjSpPE1qKmVL79TviYp4EUeb17i0oYV7DjuxL2OkFdUYi0JDc5SoaJgF6D5dKDzz+/N5976Y965j6yv9tYG2DDAFrrqXN/lIThASwra19DRacEUtPLyGoUPvRA4Szd6RXth1K1RiEyKxOyGs/FH3V+rXD87ewLPz59CJT19jNmyD/KKhatX3/lGMqsCsix45RWRa3xUzKtlTYKx+rA14wMul9HC0Hxp3qZWtTF4eY7j3CKEs56em+HlvQuysgpsbfXKiwVKZgawqykQ5gp0/AdoOat4qyYEOMvbo/2rz4Z8hgK0elSDeqscwLJ4IxL46psuwZh8/C27/9DoxuhgbSBwW0XdeHHdMni+ew3Lpi3Qc/b8n5cLAc7e/3Qfj88/RrpMOnqO6okmVSp+UdTQsLtwdp7IPlNbtXzOlOsshARnBy7bj9eJpphsEYC/pnDF6iQ2hABnr+7fBt93NpCRS0Hf2VVgXL18WRYJde2lcDY7nSWBs+/fv8eff/6JIUOGoE+fPsjIyGDwz8HBAY6OXB2YsogfP34whWeNGjWK7J7gLI29Y8eOiIyMxOPHj0HAeejQofjjD+7nO4Kz8fHxmDt3LmNaBH6PHDmCrVu3ok4d0Z76KHICxbjg+PHjuHfvHhu7ICHucHbGjBmwtLTE1Kn8/d4pSA4EuUds4OywYcOYpcGUKVNw48YNbNmyhW1i2vgEbklFKycnmuqsgiROek/pZ+CB36+eOMpyyrA3sedrML6Rn/H5XS8oygAJ2gPR045TRUjjZwbevh2EqOi30NfvBFubvUJNzV/nnXHmtR9Kw9dQqAMvxcYSXW5B5d/fWY8Jgy5AtbZovfVKcWqFd+X7HDjcFVBQAeZ8B5QLh0rR0e/x5i13DKtWrXUwMeb/SJbYzFnEAzm3YiF8XT7mKmojFDj7+gBwfS4gpwAsCATkcoPEWy7BmHPuI8jztHEVHQZoq+ipiXi2wms+JSWUedBGRb+Bjk7LLEBbqeAOioCzdOMj/0eYdo/zaNvabis6WPx8XyfGxmLf5JFIT01Fp/FTYdvx1yf4GZmZDMbyPGS/BsXkGk+XOkZoxYCsXrnK9aHp4xH1Iwi/zfgTVs2zinGJCM56em6Fl/cOyMjIszWl73HlKnKq1f/3DtAtxsOoEsJZ3h61VmuCutotIa+nAqO5jcosfXsfeWDtzW/QVVPE2Un2Iitg5//VBWf+4fzef1+2DmbWWb9UCwHOLt67GHLBcpC1lMWSoUvKLJel3fG79yMQGfkMVatOR7WqWUpMIcDZ/25ewsRHClCTScKn5T0gqyDhx5NLCGfDAr7hwqZPSE3QhXHtz+g3XTDlXGnvL5H1J0FwNhNAkIICwuTlYZaaCp20NAQrKEA5IwNa6ekoCZwlAd6+fftw8+ZNyMvL57tcgYGBWLNmDdzc3GBhYYF+/fqha9eu7Nq4uDisW7cOr1+/ZkyI6hQRUJ03bx6DvJs3b84FEidPnowxY8awU9lUfH79+vV4+/YtU7x26dIFkyZNYu1cu3YN7969w5IlSxh3mj59OkJDQ1mfpIwloGxtzT2cIDhLbRKg5QXdT+pQmlu1atUYnM3MzGT8ioLaIni7fft21KpVq8ht+tdff8HFxYWJFLW0tDB27NjsHJBql6AnAV+yhbCyssL8+fOhp6fHBI70h+ZqbGzM5mFnZ4dXr16x8YWHh6NBgwYMjtvYcIXQR4wYgSZNmrD2IiIimAUB5SEkJIRBSxoD2Y5SHDp0iM2L+BxdT6fbKR8DBgxgJ9wTEhJYjkk1THlVUFBA5cqV+VLOUrsFjf/+/fvYs2cPoqKi2JrTfAmqEvgeNWoUVq1ahSpVOMHXzp07UalSJfZ1guZPnjyBhoYGnj59ynIyceJEJvqkPUg5oXFSjqtWrZq9XkUukIgvEBs4S5t8+PDhbIHXrl2LZ8+esaTSQpMUnBJYu7ZoKsKKOMfS5oWUgd+v/Y4v4dyxWV7s77Sfbzjr8LAzzDM8EJahht87OgtpVBWrmbi4r3j1ug8yM9Ny//Bcwmn+9zkYE49xahcq5kFFPaTxawYiV9lCO9UHAZotYTrrumSl6NIU4MMJThVG6jAAa1+txcugl7ny0LVqV9RPugraq6Ymg2FtXfGPgwqyEYLcvuPkojns1gm7HZiHqVDg7OZaQEwgp5gl5Ww+QcfrCdCSP6S1USWsH1BPrFWceaeQnBzCFLTR0W+ho9MqC9DmKQrEu4kPOEuXHv9yHOter0MlxUpw7OqImto1WQt3DuyC892bMKxWE8PXbMkeSnRiKgdk3cPw1C0MfpEJ2a9pqiigcx1Dpo4llSxBqvIYPA9TLSNj5rPLQgRw1tNrG7y8tkNGRi4LzHYuj+kCeJ+Rll2AoWf5n0MJ4SztUdcHj9DbggM0usNrQaVu2dpkLLj4CSdf+qKBhTbOTGwGBTnR2Cvc2r0Fnx/dg6l1HQxeto7LeQnh7MXnF/Hxv49IVEjEpCmTUFVbdPYM/G+S0rkyOuYD3rzpzzpr0cIJykrGQlHOtll4DD7pOlhcJxRjR4wuncmIcy8lhLPnt21G8Nf6UFANx+jVPaEo6V6cEgJnE2VlscnQACFZ4HRAZBRax8Vhi6EBwuTksSowsERwlsArQTMCimQFQKCS4CcvCLb9/vvv7HUS7ZH1AYFAUm4SlCNo6OzsjNGjR6N69eoM2BEAJEZEQJCg6J07Pz2te/TowdSr7dq1Y4DVy8uLiQAJUtKRduJO9IdUuwQbDxw4wMDmhQsXGMQkiEt9+/v74+RJzjotPzhLYJGOxhP4o3nRODw9PZnVQXJyMlOfEjwkWMuPv+6xY8dQs2ZN6OrqgqwFzp49i3PnzjGISG1//PiRqXQJXtNYKWeUK7JnoJPn9vb2jKMRlGzVqhWDu3RN69at8d9//7EcXb58mY2lU6dODL6OHDmSQWRSy9I8CF4T7Ka+CH5TNGrUCMuXL2fgnGd1sGHDBramlJd//vmHQW5qi6D5/v37s9enqI9LYn75jZ/AMa0Z5ZLGf+LECXz//p3lgwA/rXFO6L1gwQLmY0xjPnz4ME6dOoXOnTuzPJD4093dna0lqaVpT5CtATFINTU1sVE1iw2cnTZtGpO3z5kzh5F+elOQlQFtbtoktMBEtaUhuRkoCZx953cNkW7cU3oZk+loby3B3klFbKGAgJP49n0xu6p+vSPQ1c1SNAm49VLSMpidQVB0EhZ0r4UJrSXYB6xt7acGAAAgAElEQVSQHEY/3A/Nh9w3wPSpbyGnX/TxGgGXRDxvC/cAdjYC6Ajv9PeATjUGZ098PZFrvMtqWkIz6QPU1a2YnYGMjGh+KRfPJBVvVNe3b8C3p4+yi9qUGM4+WAU8Ws88ZpnXbCHh7B8FKv5HnqimWipYP8AWLcTI97SoTCYn/8gCtO+gq9OaedDKyeWjAOYTzlJ/q1+uxqlvp1BHrw4DtHFBIXCYwxWtoWPTqpYNmFUBecjS31EJqdnDpIJeHWsRkKWiXnoig1FF5UXYr59YOBvB7q5o/8dE2HXtKXQ4S1CW4CwgAxubXTDQ7yLsKZRee3EhwO5mQEI40HsXYDecv75LAGfD/f3YHiWf2arqNlCqoQX9cZzipiyD1OQjD71i75N+DUyxeVB9kQwnItAfR2ZNyn6PksVBSeHs/K3zoRSlBPX66pjbZ65Ixi3OjX7+PAvBP64w31nyny2prcGJ08ex8IM2KsuF49GqkeI89dIbWwngrLvzI9zel4jMdEVUbeSK7uO4/S/RISFw9q5GJdzU0ECfqGjQvzvExDI4+1lFGfv09LAsMAjG1tYlKghGEJUUpgQ8KQggEgMigMoDrKSEpPpDFPRvAp8EFwnQkZqTp1rNeWy+MDjbtGlTJvSjY+y//fYba5fUuR8+fGA+sznhLL1G6lSCkgRzP3/+jJcvX2ZD3/zgLN1DMJlUp7Nnz84GqARYCdwS9KQ/BAw7dCj6RCTxMKrDRH/oPgKwBEoJeFL/pPglCJszCJCSMpQEjjmDlKQPHjzItgclAE6sjQc0Cc6SGpm4GwUBZFIoUzt5bQ0oL9Q/9cW7nsZGY9y4cSNbH2J2JLSkKI6tQUHjJ/BO47906RJrk8A61aIi9WzLli2LhLO0L4ghUvCYIg90S20NivhUJ8n1woU/q8TzYCwZRBPhJ6JOTzCkIbkZKAmcdbzXHGYyP/AjUxdDO7yS3CTyOfMvX/9EUNB5qKtbo2GDU0X7LhbS7sKLn3DipS/qmWnh8rQWfI5A8i6LW1YF6pmRCDDuDdOJRyUvATTj24uAZzs46NB71y9wtrFaGobpcF7kDRuehZamtAJoYRslOvQHDk4byy4ZsW474uCF086/FkFc0Cs3AM+3TQJCm2sDaUlA331AvcFF7lHPsHjMPfsR5JFaSVkeGwbWQ9c6RkXeJy4XJCcHZwHa99DVbcNUl3JyqrmHVww4SzdOvjsZTgFO6Fa1G1q+0cbz998QX8Me0eYNWEGvtAw6VMiFrZkW8+4lGNuosra4pEWo4/j+/AmubV0HRRUVTNzjCEWPW8C/eXx5a3QEhp8vdr9e3jvh6cmpkWntDAzEq+hDsSdEN7w9AlydCShpALNcirSAYX2UAM5e2bwG4R880cmEg14G0+pD0awQmw+BJiXYTb4RCRh28CX8IhIwq5MlZnTg1OjCjodHD+Lt9UusKBgVBysJnHW85wivJ16IU43D4hmLoakkvr7Qws4jr72kJH88fdaG/bdJk6uolFYJ2Fo3d3eK6sCCAL6GUGv+RSRmKmK7fQJ69R7I1z0V/qISwNnTGzYh3MMOypq+GLtOqkJme0VC4OwiE2M0SEhEv6gorDMyhH1cPIOzMXJyoNdmhISiTo0aJYKzvPceAUBSQJJKlADo+fPncfv2bQZuc6pp6XpSPZKSk+wEeNYB9HV+4SypVidMmMCUsbzj78SVdu/ejVu3buWCs6QKnTlzJpSVlZmSko71kxUCT5FbmHKWFJ70el5bAxor9UUKWppnYUF5IVVqUFAQ6tWrByMjI6b4JPhJx/UJfubMAa8tsn4YN25cNhjlff3vv/9mENrQ0DBXt1ScjOBmXjhLSlMC1gRD88JZgtWUR319faaI5QUpfGfNmlXo+hT1mVvY+OnenNCZckyAliBwUcrZnHCWrBoIotOeo7xK4WxRqwKwim7kGUJPHnhvHkogya3pTSkNyc6AoHD2/vc9yAzYyJKnVWMDGlr0k+xE8jH7jIwkvHrdG/Hx7jAy6oM6tQWronn36w+Mc3zDenw8rx0sdPOADT7GIgmXhF9cCt2PW5GYoQSVhR6Aknj88lvquU+OAbbZAQlhwLh7WBt4N1s5qy+fiT+NEqEgA9SsMR8WFuNKfXjlscOHjgfw9sZlrqjNyH7AzjyFZyoZcT6/RcXVGcBbB8DEDpjwsKirs1+nAoBkcfDYlfPvIkA7sKEZ3/eX9YVJyUFw+TQNdBw3X0BbTDgblhiGgef+RrSPDpQirBCklBtWt7bUR1tLzq7A0lAyPgcurFkKrw9v0azf72hRR00ocNbbexc8PDez7WNTdwcMDH5WUi7rPVXi/nkFFLMeYhXZnoBw1u+zM84uX4AO5sOhJ28KtUaG0B5gWWR3pXkB+TCPOMRZ32wbXB+96wu/SFlyfBwOzRgP8t7tMHYK6su+Apx+WpCwzlvMADotL3TqqempWLxxMZQTlWHUwgiTOkmuItHNbSV8/Y7AwKArbMz+FhjObjtwAFs8TNBAKQAXlkl4EbCcu09AOPv+4UU8O809MKjdzh/tfpcqkVkyJATOLjQxQdP4ePSKjs4FZ/0VFbDe0BCLgoJhYWUlMJwlq0ryKc0Zfn5+DOqRQpaKaJGKkzxc83rSkuKTVK90bJ2Ot1PkhLPkQ0uv5WdrQL6rAwcOZK+TQpeCjtCTZQDB0pzKWYKAxKPI9kBWVpaBTVK8FgZnqS4S2S/QMXpzc/N84SzZCRBgLcxvl8ZF/ZBvK/mvampy70UCqHQvsTECkjQeOqqfM0hZXL9+faYozRl0n4+PD5tvfpEXzhJYDggIYHMhOEvj4RVrI8sH6j+/wma0PqRwXrZsGZo3b/7L+hT1c0FB4+f5BBMwpiB4TdYRpFCmsVOfJOS0tbVlr+e1NSgKzpK6mZTb4hRiY2tASSHpN3lmkCcJSbeJ8tOGojcyUXppSHYGBIWzx+7YwUQuBsEy5hjWjn+oINnZBiIjn+Pde+7YpGXNxTA3L94TdDp22GbDQ6ZqmdvFCtPaSdgx/WJsoJSl+lCUSUFQzXEwHiYYCC9Gd+J96ZPNwL1lgGUXrK3RIBvOTtFPhqVyOuKULNG7xU3xnoMYjS4tJRnbRw5g318HTp8EizvDco+OHzgb8pU7Tk0x4iJQvX2xZpiUms4A7XXnIHbfkp61MaZF+bEpSkoKZAramJiP0NVtm6WgVeFywAecTUnPYP6x7I97GFx/xObKX696JiAoS5YFkujH7fflE84u436hGDdtIDTv5fEyLqZy1tt7Nzw8uc/RunW3w9CgR7H2q9hfzN6PVAg1Exh6BrDkiqUUGALC2bPL5yPTOwUtDLjCJyaLmkFW/adaRlzydOKlDxZedIGivCzOTrRHfXMtoQ/t5cUzcDp9DMpq6pg61FogOLvryi6EvgtFnFYcNs7kBAOSGiQAePjIBpmZGbCruQk6h0blTgUfytmY8GDYbuBqGZzsLo/mraUinuwkCghnj6/cimh/W6jpu2L0Csl9ePDL+1JC4OxhXV18V1bCnz9CcFBPlylnCdbuMNBnRcI2+AdAtU4dgeEswVQ6Wk5FqIjzkJKRIOCbN29w+vRp5oHK80Yl9SoFWQpQ4SuCkXQcPyYmhilbCRRS8XhS2dLRd16NIoJzpDglCOrg4JANZOnYPPEkgo9U9ItOa5NylDxpc8JZgpjPnz9nbVK/pHjNa2tAtgodO3Zk7Tx+/Jid7iZfV1JzUlAfBJqpbVLekoUDtUdci2wGCgvyil26dCmDqaTuJPBL8yDISvOieRA0Jr9UsvskkE1QluZLKmD6eosWLVgRMAKZpGol9Sypccl2gPJGCmXyjyUwSYCTFLc9e/ZkcyHwSn1Q0TBSDFOeCNJSn+TlSspZArEE00k8SdYLdB35AJMSNT09nc2b1olAN/E7mntRQfPNb/xkb0H5IBhL60W5oHyTbyy1Td67BGYp/zQOylPbtm2zPWcLg7OkQCaPXLJ4oPXS0dEpapil8rrYwFmejJvnQUIUm+cPQrCW/CGkIdkZEATOXvmwGGoRnIl3tXrnUFWX81SRBn8Z4P2SS16LDeyOQUOjHn83EoC5/BlHn3ujtokGbkxvxfd9knZhqOME6HudQVSGNrSWe0va9POfL3nPhrnhXKNBWB7+At01U9FZIxXR6TKI0J+KcfVnSfNUjAy8uvwvnpx0gGmNahis4Jj7Tn7g7JkRwNcrQM3OwDDBvxf/fd4Zp1/7sf5FeQy5GKnh+9KcgFZPtx3zoJWVVS4QzkaYdwSp+gjGkl1BYFRidl/K8jKoGfEJFon++NTwLbYP2o36BqLxzOR7gmV84Y2dm/D1yQPY2Fmic9Kh3KMpBpz19tkLD48N7P66dbbC0LBnGc9MRN0/2QTcW868uZlHd2EhAJz9/uwxrm1bj55Vp0IV6tDoWBkaHS1ENJmSN7v6xlfsf+yJmobqODvBHtoiKJJ3eOZERAYFwL6BCZonciqe7ChCORsQGcBUXoppirDsYomh9kNLPuly3oKPz164e2yAlrotGt64n3s2fMDZxVv34FiwBTpr+GD/ginlPBtCHr4AcNbpsiM+3jRnA2nSNwaNu/ysRi/k0ZW/5iQEzpJ9wQpjIyTLyLA1UsnIQLKsLDIAjAyPQKOEhBIVBCPwSJ+DBGV5QUDsr7/+yvYwJVhG4I/gHoWcnByDsgQRyf6A4CMBTxUVFQYeybOWB/8IfFKhKwoqKka2CTy1LB3Jp3ujoqKyXyffWbIKyAlniTkRXCQfVQqCyFREKqdylrxXKchuk+Aw+b/SsXxeEJwlKMgLuo58b6mmEhX1KixISEEWATRXCmtra3z79i1bHerr68vgL42TggpZEVwkUEl+sQRleXnjedySCpeUwAROKShnpDYlJS7llcZHOaVo06YNg7mkXCYIS1CX5k9BUJTWhdSxZP/AC1I0E5iltaN8Uz+0bjQmWl9+4CzltKDxEyC/ePHiL/uBvkBWEeTHS+OnedG4GzduzNaQirnxPI7pWlrToUOHMthMoJz2BM01IiKCrSNPIVzoApXCi2IDZ0mufPToUealQf8eNGgQg7P0tGLRokWsOhsRemlIbgYEgbOn79SGvlwyQhRqYUira5KbvBLM/KPzBISF3WP+nuTzyU88/B6K0Ue4bxB3ZrdBTYMCKp3z01hFviYpClhbmc0wpNFCGPz2Z0WeLf9zo+PzV2cgSNMYM01lMUEvmd17MEwJba1nYKLtRP7bkl7JMrB30kjER0bgN9NvsNLgfuhkURSc9XwEHO3FXTvJCTAqWTGglde/4uATT9bcuFbVsKhHrXKzQklJAVkKWmfo6bVnClrZo/0Abyc2B59MQzhl2MDJZAycfsgjNikte24mWiroa2fK1LGue5cizNcbck2r4JDuI1TRqALHbo7QURaPp/ZlsSDhAX5wmM0VRxtW5QOMVHKoi/mEsz4+++DusZ61UafOFhgZZu3bsphQafR5qBPg9wpoMRPotKzgHgWAs47zpkE3Wh/1ddpDTl0BxouylPOlMS8B+5h0/C1uuQSjU21DHBjZSMBWCr7t452buHtwF7tgquVzKMv9fH8XZWuw8cxGxH2NQ4JhAtZP5vaoNAAnJ3skp4Sg7tdYGIZy3+dZFAFnPb99QHsHzpP29nBDWNYV/nqX6/URAM46LN6D+FAraJp9xvBF/yvX0xf64CUEzlLeCMxSMTAvRSUkysrAKDUNbeLiYJEF75RLoJzlrUtycjIr7EQwjVf4K++akcKTlKsEYElRywuCl6RYJeiXX8EpEvsRVCwIgv748YP5yfIsAwraKwQ/qY28Ngwl3VsEIWn+BQXBYgKbYWFhTK1akJqT5klAMu/r9DUC0Hp6euz+nHmjNgnE5pw7z9agWrVqLC/0J7+1oPsIiPMiKSmJqXBpfXJaUFDug4ODGezk9U9fo/EWFNSukpISe7mg8VN/BFepXcpPzqD2aT/l9dXld63oXspJXisNfu8X9nViA2dJxk4y5MmTJzNAS9JrgrNEs+k1ouI2NiX7pVDYyZO2V7oZKC6cPfNyAvTi7yExUxZtW72FuqJG6Q64gvRGRXHIfzYlJQxmpsNhZVXIL4FZc2638SG8wuIxvUNNzO4kXh514rQsIbv6wCD0AUJkzGGw1EWchlb2YznUGfB7idc1KyHGWAl3YxRwLVoB0+ymSeGsAKvj8vAu/tuzFTqKifijOucDzaIoOOvQHfB+ml2kTYCuf7ll2z03bLnjyr7+e2NzrOvPeUWVh0hM8mcetDGxn6Cn1wGyz5Px1C8dThl18TSjLjLx85eI2sYa6FXfhAHZuqacd9i7m1fwwGE/5BUUMW7HQSz7tBY3vW6itVlr7OrAgR9JDcoL5ae6egT6mHOqERZ8wFkf3/1wd1/HLq9TezOMjHpX/DR6PwEcuMrTGH8fMC2gQGIx4SytwWPHw+hfZRZkIMt8ZslvVtwjLC4ZIw69wtegGJE9+Dm1eC4CXb+hnnYQOhpxaiIWhShnnX2ccf7IechABk0HNEW3uhWgMJ2QNkNQ0L/48vUvqCamw/515M9Wi4CzE9fswX/RFhhi4Is1WQ91hDSkitFMMeHsneN74OpkxebeaZwSLBtJi/fm2ggVHM7GPXjAphuRlITv4eGw0tWFTg5I9zIwENrKyrDMOvatJyYenfnBWXF/A1PBrQdZ+c5vrKQ85dVdKo255PWcFUWfpKjdu3dvgU2Tj21eD11RjKO8tCk2cJaMmqnoF/le5ISzJKUmYEvSZDMzwYuI0JMKetJibGyc6wkMb6HoSQw9TaEnDfmR89jYWPYER1z8KMrLBhPmOIsDZ2NTonD3UWNoyGUgQrUlBjbLc5RXmAOTgLZCQm4yxRhF7dobYWzUt8BZL7/2BYedvFgxm9uzONN2SQmfGJ9fpkrVmLWUfj3Gkh78FXJ7OTVSZMed0G45QlLSxN88v10HTg9FkrIsHOvpY2cI91RVCmf5S19+Vx2bMxEh/gHoYOSO+tqc/2uhcPbTWeD8eO66ua6AuvAADX1G0GcFRXcbY2wYYAs1JXnBJ1eKdz76+hWXX57HhyAdeEZzynde2Mt+Rs+mddGyVVtY6PxaAHHfpFGIiwxHq6Gj0aT3ACSnJ2P0rdFwCXPB8FrD8VeTv0pxJuLVVVJcLA5OHYXkpBT0M/+MquoR3ACLgLO+vgfh5r6GXUrFK6mIpcTEfwuA57sA86bA2Nv5T7uYcJb2aE3Z+rDUaARFs0owmFZ+LDfe+0Vh+MGXiE9Ow8o+dTG8We73Z0n3hdurZ7iyaTVrhh5y0cMuFoXA2ZWOK5HmlYaUyilY/Qd3rzR+ZuDV8y6ITXSHlXsczAKTuBcKgbOvnt7DoKvcde9m2ULHkDuKL40cGSgGnE1Li4XDwgtIjjaHXvVP+H3eDGkq82agAsPZnFMlv04Ch+T/SgpOXpB36JMnT9ix9ryqxbLcLHT0n9SbvAJUZTmW8tr3pUuXmJcr8S9piEcGxAbOrlixghn5Elkn419SzhLNJ38Q8oS4evVqLnl2cdJHfhnk18G+3ysqskp95EXBC6rWRx88PC8OAsSk1qUgg2nyQuHdT+bMpOKVFigrzgoI59rfL/ZCBhXAyBGzLYfAvs6v3l3HnvSDSepHRGUoon/Hr8IZgIS34ua2Gr5+h6CkZIAGdqegqlrll4xQwZvhWZWTr09vhTomkqVWtjtmh7SMHEcdATwZ/CRfOBu6oRX0450RqFQXJvOfSvju+nX6vn6HoXrpL+iFp8DVqDJ8NLP2m5Y5OnWTbIWhoJvF69ElXNh9kB3HnVDjFRRk0wuHs1QEjIoPtZwNdFwqaLcF3nfujR/m/evMXm9VUw8bBtQTy4JYianp2cW8yEPWIyT38azm2u8wJP4pWsl8gpZMHDD4FGDd/dfPx9NH8fLiWWjo6WPMtgOQk+dgtFuUG0bfHI2YlBgsaLoAQ6yHCD3X5aXB57uX4Nmjd8zWgOwNWBQCZ319D8HNnQNetWtvgLFRv/IyVeGMMyMd2NUECHcHOq8EmudzHLkYcNbp9FF8uXYX3c24hzL6422gVF34BbaEM/n8W7n8IRAzTnM+vMfGNmWfLcKMi/OGwdM3GpaVwtDTLOvnywLg7EOXh3j470Okyaah1+heaGLRRJhDqRBthfuewwf3vyGflomWLyMgl55ZKJzt+89BvE8yxvSqAZg9cUKFyIHQJ1EMOHv1wFb4vrWFrHwyBvxlDX3z8lOsU+h5K6hBCYGzw4YNY36dvGJcvHQQh6FCUAcOHChVVWepra+0I2kGxCgDYgNnyb6AKr3xTJbJ4Jj8JQiYzp8/H+3bF686dM4cUwU4UuVaWFiwCnyrV6/ONlam/vr27csq7A0fPhz379/Hhg0bWPVAc3Nz9kFElfKoohv5jlChMmqHYLI0SjkD+9oAQVm/rPG6HnEJqN4u10A8wt7C/eMgyMsA8dp90ctOsqviCnOV3r4dhKjot9DVbYP69Q7/0nTHzY/gHhKHSW2q4+9u1sLsuly0xS+cjXe+AbULHICJ//0y1Gq1LRfzK61BRsd8wJs3/aEZk4ZGHzjz/uxotxBoI/XmFWgtwr7j/J9j4B2vDXs9HzTX9y0Yzj7fCfy3EFBQARYEATk8vwTqu4CbbroEY87ZD0hISWdV1klBW9Pwp2JDmH0Vp62Q2GQGZKmYFwHZHzFZii56yCsni/4NzdC+piwq+Q9GvFIC9MNSYPM1BjL0/DAfOJsQHYX9U/9AOlUdnjgdNu075xrOfd/7mPGAUyzt7bgXLUwl9FipywUcWrcbUSnK6GbyHbU1QwqEs/QAx81tFctZ7VrrYWzcvzhLXHGu/XwJOJdV7X6mM6CVRy3KJ5zl7dFmOr/BTNUSKjZ60B1Wfjyhc/3cf98Nm267soc9Zyfa56tiF3QDBJyYi9NXOMHH75WdYaYaXaBydtGeRZD/IQ9ZK1ksGbJE0C4r9n1RfvhwrznCtRVR1ScB1XwSCoSzN65dwBQnJfYQ7MOq/oBs+ThtUeoLyCecDQv6jvPrXZCWqA2Tul/QV0yOq5d6vorqUELgLJ1ipoJQxDpyhqenJzvVTIWnatUqn98Tilpi6evSDIhLBsQGzlJCCJRSMbAvX74w4+DKlSszcGppKVzPyl69eqFHjx7sg4bk+wRrCcCSqpaCqu716dMHI0aMYFXdyAuXnhhR3Lx5kylnb9++na89grgsbIUcB59w1vFhR5hleCEsQx2/d/xYIVNRVpOKi/vG/GczM9NQpcoUVK82J3sovGrJVfXU8GCuZMJGfuFsxCob6KT6wl+zFcxmSQvV5d3Pr171RGzcF5imV4P1U66wXHZI4azgb/+w7/ixsT2Oe9mxNsbXeA0NHS1gzvfcbZL6e3MtIC4E6LoGaCbaStgEP+ec/cgAaHV9dQZoG1TWFnyeAt7pERqXDWOd3MKRkPJTBa9fSQkDGpihcx1D2Fn8HFvC8U5w0XBFrLr8T0D7+6/K2Tv7d8L53i0YVa+JYau35DtCx8+O2PhmI/RV9OHQzQEWlSwEnEk5vs3lAj4cWIB7wTWgoZCM8TVe5Qtn/fwc4OrGPSSvVWsdTIwHlONJC2HoFycBH2nf9QAGn8zdIJ9wlvZoyLNvaGPEnRwzmtcI8ro/C4AIYZSl2sTccx/x71t/NKumi1Pjmwnv+dLdf3Dr7HV8jjaEqWo0Bld2zhfOXnp5CR9ufkCiQiImTZuEqppSRWK+GyDKD7EH6+NVA06h3eJVBJQzVIEFXMGvnNFi4QkEpGthuW04Rg4dWar7qVx1xiecPb99E4K/2EFBNQzjNg6ErOxPz/RyNV9RD1ZC4CydFHZxccH58+dzFYZas2YNE69dvHixwAJeol4CafvSDEhKBsQKzpZG0r29vTF+/HiQ4TLZGxAMPnv2LPsg4gXZIBAYJuuDrl27Mnk//U1B/ib0/3///bfISn+lMR+J6oMPOPva5zxiPLJUdcZT0KHWT3goUbkS4WQDAk7h2/dFrId6tgdY1fIXnuEYvP8F+9rFKS1gZ1G+jkEKK138wNmoB3uh9YjzlUyb9h7yetWE1X2FaOf79yXwDzgBdXVrNA2vC7zMYyIvhbOCr3PYd2BnE9wMtMKXaAOuqE3NuF/h7J0lwNNtgHZlYAZnOyDq+OgXhTnnPjLlvUElJawfUA9trfRF3S2oX4LDpJB95hGeq7+aBupMIduxliFqGKjnPxaHHkj48RyfaldCnJo8DMJSUNd2L2QIkmVFmK83HOdxSpTecxeiRmP7Aue14sUKnP1+Fg0NG8Khq4PI5y92HbhcAP79Aye86yM4sRLaGnqiYZNawPCfP6P5+TvC1XU5G3ot6zUwMRkkdtMo9QHF/QB2NQUSI4G++4B6g38OgQ84y9ujnU1HQ1vREJVamUKzR/n+3kS+s384vMYrrwjhFh68+w+i7u/FIY9GLMdkbWDZdRjQiduTvJi/ZT6UopWgZqeGeb3nlfqWKDcdRvkBW+vii1UlBBkqMd9ZK1/8AmePnjyKJc66qCEfgrsr/yg30yuTgfIBZz0/PcatPUnIzJBHtabu6PaH1CKiwLWSEDjLq/NDebC1tWUWji9evEB8fDw7gZzTErJM9rW0U2kGJCADYgNnPTw8mKlzQVGvXr0Sm1CTGnfs2LHMnuDQoUPMw5ZsC0g9e/LkT6XBvHnzQLYK5H1L1eN4IJfGxvvgcnR0hImJCWJiYiRgm4jHFNVOdIfcj0+5BpPQ/yTSKrfK/tqFV51hLhuK4Axd9GxyVzwGXgFH4eW9FGFhV6CsXBm1rB0w2METriHxGN7YFH92Kt+/0JVkudpcbvOL5+yNHjegqchVaqeQ2WyDSoiCj35PaI/YXZLuKty94eHX4Om1mM2L9pXe6wtQfJ/bPiO5+VwkN5MWrBBk8WUj3KHu0A6xqUrY7855Hw6r7QvVWU7ZzcnGBUH9YHMgIw2J3fr0LF0AACAASURBVHci1br0qt57hydi0dXvcA6MhbKCLJb3sETX2sIHtC+8ovDCOxIvvKPwJSi3f6yduQZ62RiidQ0d6Ktzp2kKC9WzgyDv/xwJKnLZgFZX0QbVbKkIJadCurtnK7zevYKFjR26TC8a0sx8OhOvQ16jR+UeWNBgQVFDqFCvK3y/CpXrU+AWq4cr/rUgL5OBMe0VkDn4GJtnSMhp+PiuY/+uUmUJ9PUKLk5ZoRLDx2QUPx6D8r0FyFTRRty4F8hU4ArSVdptA5mk3PYwcWOfIUPzZyEl2qMybslorNcVMvKyqDSnLiBX/lV0HmEJmHjqE0JiUzCzXRWMsS958SilJ2ug9Ho3Hv6ohrcRpqwo2LDBjZHU6ud79dzTc/B76YdY1VjMGDMDWoqS+cCaj20L2ZgAqB9shmQlWTg11WG3NP6UAvzx+eftGelouPYJUiGHrU1i0b7jr57e/PQlKdeoXhwFea/7uaab2G0bUmv99OS+vncfIjwbQlnLBwMXSKglDJ8bQt7zLlQv5X4gkG7SCPGDL/LZwq+XaWiIZ00OOr1MdpDkM0vWklpaWqATx0OGDMm3YLrACZDeKM2ANAP5ZkBs4GzOol35jbSkSlWyTCDFK3nb7t+/H9ra3LFEfpSzs2bNYk+MKPIqZ3lFxKT7S/QZkD3YDjJBuW0KMoZdQGY17gj9ve/bIRe8k/1bvepKNLKQqmlEtSoZGcl487YPEhI8cDNgJv79XA1m2ip4NLeNqLosF+02OtnoFzj7cODD7IJgEReXQt9lBxIzlKA43x1QVCsX8yqNQSYm+uDN215IT09E9ep/w9xsDGT/+xsyr/bn6j7DbiQyf9taGkOqeH2EuUJuTzM2r8chVfE63AyWOnHovvNe9lxlr06HzIfjyDRthIwxBVR/F2FmyOv1z38/4Yl7GOtlVZ86GNy4ZEAlLjkNT93D8dQjnClkvcMTcs2gQy0D9LczRRtLPSgryBVrdrJHe0HGh4PbCapy+FSLU9Dq63dFndrb4evyERdWc16TA5esgal17SLb/5HwA2Nuj0FAXAD+V/9/GFt3bJH3VJQLZL5chOx5br4X/OrCK04bjavLocWKCwgIPAE3t2XsNUvLFTAx5o7fS+NnBmRP/Q4Z9zvIbDASGT24z0m5jdU5RW2OSP/f+2xvWt4e7VtlBhRllKHRoyrUmhtXmLTe/xaK8cfesvnsHFIf3eoalWhusveXQ+bpVqRkyOGge2MkpiugQ3Nz2Ezjfv7MyMzA4k2LoZyoDIMWBpjYfmKJ+qvwN0f7QW57PTZN92pq8DFTgUFEOmr39cie+raDB7HdywxNlf1wcjFXrE4aBWeA9zmQ84qMPnuRacP9XvTxyWU8P809MKjbIQAt+/1aWFma358ZkHG9BdkzuXOUad4UGaNvCpwmObncP2uEhoYyywAVldK1kgn1jYWXM/fzVt7IzMzM18KxyW9SixaBF156ozQDRWRAbOBsYGAgk83njX/++YcpVNetW8eUroIEqVsJzCYnJ2Pnzp3ZYJba4nnO3rhxAwoKCqx58psl31me5yzZH5AVAoXUc1aQFRDSPUXYGhy/Wx/GsrEIlrXAsLYPhNSptJmCMhAZ+QJnHizG2lcz2SVnJtqjaVVO9SCpUZStQcpSfSjKpCDQcgJMhm6Q1DTlO+/370cgIvIZDAy6waYu90subv71q62Bbg3gf9wv2tIoZgaybA3oroxMGWz/3hzpmbLov3A5qtg2AAI/APuzHrCMugpUbV3MDoRzeWJKOrM4uPEpiDU4v3stTGxdPEV+UHQSZ1fgxhX0CotLzh4c6QHJroD+2FfTLdmgHXoA3j+Vx/EEaJvVRnxaEAwMuuPreXX4ffmEum07ostk7rOSn3gd/Bpj/hvDLt3YZiO6VOEeEFf4yLI1oHkGJGjgtA8HbXou6Qq/H5xXr7XVCpiaSmFCvnsh5AuwO8s2g6wganQEirA1OLtsPjSDtFBHqznk9VVhNKdhhdtmR556YdnVL1BXkmc/q9QxKYFq7e4/gBO3F1+GmcMptAqUleQw9ehl9rXdV3cj5G0IYrVisXHGRml9iqJ2U5atAV2WKQM8bKGLDFkZ2NV3gI5OK0SG+MFuM2evc7aXMpo071BUi9LXi7A1OLZyK2L8baFm8B2jl0+W5quoDIjQ1oDsFufMmZN9ErdZs2bs5K68fP7F7tauXYt7934+UKehEyehE72CBMHZs6tf57o1E5lIy/j5MxPvRQVZZehbVMKgBY0F6SrXPbGxsUhNTWVMRkZEBWf5HWRaWhroj7KyMr+3lOp1ZC1haGiIqlUFh+K3bt1C48aNoauri6SkJHYance9hDUZV1dX0Lo2bFjxfoYQVo74aUds4GxBg3306BFWrlyJCxcuoFKl4ldwTkhIwKhRo5CRkYFVq1ZlG1kT6KUPM3q9d+/eGD58OIYNG8YMrzds2IDDhw/D3NycqWwJ3NLfZIcwdepUWFhYYMUKrhCFNEoxA4XA2Uvv/kKlqH9BhbKr2p5CdT3uyK40RJuBzpsuwjVUEe3Mn2HL8H7Q0pTsD+TC4GzIkfEw8DmLqAwtaC33Ee3ClLPWPT23wMt7J5SUjNC0yTUoKGQVXMoPztLchpwGrLqVs1mKwXBzwFkazZtwMzwKqQpT6zoYvGwdcGoI8P0GYN0dGHyqzAf813lnnHntx8YxrX0NzO1shfSMTMgVULTE9UdsVkEvTiGblJqePQdtVUX0b2iK/g3MUMu4BGAmb1bywFl6OX7AFnyKP4v4eDdEeWjA+64pRm/aA12z4imAL7hdwNJnS6Eqr8oKhNXSkYAqyTngLOXyRqAVQk0VYNYqmGXeymo5zEyHlfneFOsBPN4A3F8J6FkC014XCme/Oj3Eg9170ctiKpuS7ojaUKlTwgcWYpqcf658hsMzbwZmT01oBg1lTpBR7MgBZ+newx6NEJmiAvuBQ1G1Yzvs2LkDimmKsOxqiaHNpA8RisxvDjhL1/qaqcCtmhq0tBqjYYPTmL95D06FWKCHpg92zRdtccoix1peLigEzj696ogP17nvRfYDE9Ggw09/9PIyvVIf5//ZOwvoKI8uDL9xJUaIkwQiBIJLcCtuBfrjFHd3SqEUaUvRQpHiDgWKa9EGlxAsAiFIIEJciHv+c+fLwu6SZCW7YZN89xxOITtzZ+bO7Db7fHfeq0Q4S8XJSUqRGEV4eDgmTpzI/pCUQEFGxbnCwsJE9F8JKlpZyXcjQBjOpmZ/hF/sf4hMeY2cvM8FUQXz6OI4DXZVLIsFZ8+cOYOzZ8+CoLTASN92zZo1Jb6tggFJxuH27dvsNrUko32h29hkVEieWBIVr+/a9bPUysKFC5lWr8CoHbEmSvSTB0SPGDEC7dq1Y6xKXuvQoQOWLVvGAC1xsRo1aoAKwCnSNm3aBAK0f/75pyLdKszXjh07YGtriy5dVPv7o8rD2ffv32P06NH4448/UKtWLZk3KDIyssDDTG+U8+fPM3/0BIqeRAmM3gSDBnG/UJFO7dy5c/Hq1Sv2bwsLC6xdu5b9l7cSjkARcPbIleow18hEpFYNDGp5toQnVj6H++NKINZfe4WK+mlY2eIHGFWohYYNT0BNTb4M97IQxULhLD01WO7AlhjZcCEsu88uC8tVyBpiY6/j6TPuGrOgwNwnx4XBWZv6wFg+O17mDRCDs9R/25umSMrURP9BbWH3JL+gzcT7gIVqgMBfzz3HjttBbKkVDbURm5wJPS0NdKlljT/61cHj4HjcfsUV9HoQFCcSEkdzA/Spb4de9WyZ7IpSrAA4S2A7pbILbl3rAy3DZKinu6Nt1zNyDb/u8Trs9N2JambVsLfzXhholXEpFDE4+6pSBQRX12GxszQej5oNJGv2yhXostZpRzsg1BtoNRt4uPMLWQNM92GyBlSozinNHY6GNaHrYgrzUTXLWiQ+rYce7IzZ543/AqLQrZY1Ng2uL99axeCsT4IVroS7MF95PVshOTAVKZYpWDWBvx0jVYDF4Cz1udOkItK11WCsOwd9znAg0XO4Laq41ZXKZblvVASc3bNwC1KiXWFS2Q+DF0wt96GSKgBKgrNUa6dPnz7sdnD9+tznESWkEbsgYFiQEZylfsLcQqo1FNJIGM4+jDyFsOQXqGrcEIZalNEqKr3gUKE2LB1M5IazT548YUyF9GvpljIlzvn6+mLPnj1yZ/4WZ+2CvhRvyvh0dnaW6I7gLM29ffv2iI+Px82bN0HAmbgR8SMygrN0G5wKqFFGLoHf3bt3Y926dXB3d5c4hngDRcPZt2/fsoRDeYF+YQtQdTg7bdo0uLq6skRLVTaVgbOktUJZrAIjnRMCo4cOHcKjR49w8uRJpeqw0AcESStQ2nhBad70QZiZmckqF/L2lSJQCJw9FL0PFqk3kZqrjlYt7sNYt2xmfXylqBc47JPgBPT+6w57bddQV2jFfY/MzBjY2vSHm9syVZpqic6lMDibsW0YLGOvI0qtMiwW+ZXonFR5sKzsj/Dy6o709A9wdJwIp6qzRKdbEJw1tgM+hgI9/wLq8Rl0Mu1vAXD2eYYL/n1rhSGuL2ChEQM0GA70UK2n3uuuvsK6q4FfLFUAa4VfqFvZhMkV9KxjAyM9OTPjZAlqIXD20ZtM3D+3CVU6fICOSTosLbujprt8cZ11fRYuv7+MDg4d8EebP2SZXelrKwRnP1jp4oWrIVtD6B0rVNBsj+9+5DRneZMQgaCbwN4eXCMdIyBDrHjtdB88uvMEvkcuoL3NENbMcko9aNly8S6rFhqfimG7HuJNdDImtnHG3M7VZF+qGJwlB4diOyM0IRspTlwSSeO+jdHFXbWzc2RfuJJ6FABnI2yM4e+shb03x+Bmei0MtQrG0un89Xupd6AQOHvFPxaBN9yYm84TDOFUh79lKFVMlQRnBUXGqSi5gC+QPMGlS5dECpULz5Hg7L1791CzZk1WrIukFykbUl4ThrNn365C5Qq1ULdS50LdFUfWgOoHbd26lUlEFibbQCyG1khJcXRT+bvvvkPnztx8iAsRyH748CG7lm9nZ8eAKhVyJ8hLiXwEQQU2YcIEjBw5ksWHOM7KlSsZU6IEPaolNH78eObn3LlzePz4MX7++WcGXKdOnQriUmSUGUtA2c2Ne98QnCWfBGgFRv0pW5TWVrVqVQZniWMRaCcjXwRv169fj+rVJSc+BAcHs0xqgqhUOI5AL2XN0h/ye/jwYVAsSZ6AMmrJtwC00vpIwpOysI2NjdG3b1/2AEA4c5Zi6OTkxH5OYPnWrVtsnDt37sDa2hqUzU3yGmSUJUxQmQAzAV1aP/UjbWTidhRTyhIWyCQ4ODhIlTlL66A10B/aGxqX4l6vXj12i33z5s1ISEhge/zjjz8yqEqgm7J+KTaOjo5sfrRWullPPy9qLXTmaI9onvS+IYkIwf7I+95RVj+VgbOFFQSjINITFgq6Khq9MXgrmQho7+kA9QhOd0pgEf/bigeRC2Gonotoncbo1UC0snvJzKz8jdJv+0P4hCXif/Vs8FvP6oiNvYyAlzNYIJydf4GlxeeKsOUpOk2PNv2iINiVphth9Td3PSmqzXoYNeGL2AjOxMvAWYiJuQhj48ao6f7le1fr6gJoeO8QOUI57n2g4X8MeUZ2yJjgBYg92S9P503WtarFvoLO9hYi3fIMrXA/3glNtbiHLRnTXiBPT7W0owMiktFry4NCl9vSuSJ617VGl5qWKOn68tp/94Z68F2RuWX03oPdf51ESkIcmgzuCLVKZ5CWFoRK5t3g6rpS1m1DanYqxv43Fi/jX2JY9WGYXHuyzD5KSweNF6ehdXoshMFslTgbXDhvg4zUFHSZOgdVGzQuLcv5qvPUuroQGt7bAHVNIFf0imr6uAfYs3gZPPQ6wULXHrr1K8HwW+7LTlm3h+8TMHLfY2Tl5LHfX+j3GFlM8/qv0LwvmtUWaD0Ex/xzkGlmiSyLVCwcmX8LQRbH5bSt2sdQ6GwWk8TSNsRRxzaY4zMI6siD19SaMDST79p2eQyr9tFBUH8jqkua1n0NDh7VRsZHO5g7+6LnZL5QnbRnQ/31ZWgf4x5iCSzXzgOZ38t/U5OkCASZpMJFz+lq/cGDBxloKsjo50FBQUwf9fnz5+zPzJkz5b6qLQxnPUN3wVDLDI0sP4NH8TkUB84SeCWeU61aNSYFQKCS4KfACL7179+fvU5SkyR9QGCQgCtBOoKnPj4+GD58OIOLBPAooY6gGwFCgqJXrlz55K9bt24se5UANgFWihtJRsTGxoKuuAuAJwFxgo/bt29noJCkNCmTmSAujR0aGvoJlhcEZwk00lV5gpq0LpoHgVWSOqB6R3RDm2AiwUBJsgaCGFBxOMqYpfURTO3Xrx+bL4FgApLEzcgnyW4SWCW5TYoXSScQWKV50L+fPn2KpUuXisDZyZMnM7hPcJpkPCkRsmPHjmjZsiWT8qSHBvTAgIxqPxEop/HISPqT9pDiQK8R1B46dCiD5DQXwX5Iem/ROabscKrx1LRpU9y9e5etw8PDg+0Rxa5Vq1bsvfDy5UscPXqUAX3aU2HIPX/+fKZbTIC+qLVQdjSdAZI1ILBOUiLyZDFLWpciXlcZOBsQEIC4ONEriXQwKXDiFQ0VsXBF+eDhrKIiKdlPQXB2X/MGsNV4j4RcbXRr8USyE75FsSOw6UYQNni+RUUDbdyZ0/KTv3fvViHswx5oahqjVs390Nd3KvZYpc1Bt9NfPm0++DYNVhkBCNN2R8WZ/5W2JSltvh/C9yMoaDnU1XVRt85x6Ol9CQYKgrPZLX+AesRTqL+6hOy2i5DdmNegk3aTCoOzWdCCdnIIHn50QrWfr0JbT19alyXSrjA4W9XcABcmc0/3v5YVBGevm03GozvPUKFiJQxZvQmp6a/x8uUMpKW9Q6VK3eDqIjugDUwIZIA2JSsFPzX6CT2r9vxaS1bquARnox9M/ZQx6/omBbY6TXFX5394cOIwKjlUQb+l/HVxqTYhNxs625tDLf6ztp+g33W7xYi6G4ZmFtw5MptbD+r6BRegkWqsUtboxJNwzD/9nM16//D6aOSYr3MuxToKgrPX3YbheoAZ1HJzYK+TgYGzeDgrRShZk8LgbPf0xfDLtMEo83OYOeEXaGiU7axuaeMlTbuC4OxZs2kIft4G6prp6D2nBkwsedgtTSypjbLgrDyZs+JznjdvHgOKBCrlMWE4+yHlJUjaoKP9ROhpFlznpzhwluZHEJUyTAl4khGQI1hIAFUAWIVrBNHfCXwStCVgR1fSBVmrwtfoi4KzjRs3ZpqvdK29e/fubFzKziVwSTBcGM7Sa5Qt+uzZMwZz/f398eDBg0/QtyA4S30IJlMhLALlBGepv4uLC8t0pcxZ+kMAkTJdizLKCibgSKBTUABMWNaAwCiBahqPjOA8gWaCtnQGqPAX/V0cAgtnzorDWYodjUdGUJkgM8FQHR0dBmFpTIHsBoFrWsvq1avZflBbyqQlk0XWgHxStqy4PAeBdk9PT5w6dYr5JJA+YMAAlj3bokULiXC2sLVQtiwvayDPJwTfh49AUREQkzV4WUEHwfUqgBROk02+Rc/6XPVc3pQXAd+wj+ixgatMvnNYQ7Srbiky2KNH/ZDw8RFMTZugfr2DypuIqnpeag7kZn2aXUqWNgy0Mtm/UwacgYFba1WdeYnOKzHxKR56/4+NWaPGKlhbFZJpXZCsQdsFXAXy7W0BTV1ghh9gwMvNSLWBBcgaQKcCkJGELDVtrH/eGE37DEKzvqpXxKbRb1cRnSRaPXhc66r4sYvkK2JSxUbeRmKyBsnZ2tgR1Aw52TnoNGE6arZpzzwnJwfA128yUlODYGXVE+41ZJcnuPL+CmZen8n87e68Gw0tG8o7a5XtF+49H88TuaIcLm9SYB+Wxr3fvz+OnVPHICEyHB3HTkGtdp1Udg0qNTH/k8DR4SJT4s5oc3S2HgVDTRMYdXSA0Tf2KjXtkpjMmssvseG/17A302cFwmxNpNSlLkDW4CfjodD8WBE6kSHQjotE/yUrYOcmu7ZgSaxb5cYoQNbgHFphcvp4VFL7iOUdFqJKlamoWmWayk1dZSckJmsQq1kBx2LWIzvdBHa1X6DnRNXWXFS5uCpJ1kCgOUtXw+k6NxllQEZFRRWqOSseG6qDQ9mkwtf5ZYmfMJy9/eFvxKQVXrC4q+N02FaxkFtzVnheJFFAGZH79+9nAPT48eO4fPkyA7fC2bTUhzI6SYaA5AQE0gH0c2nhLGWYjh07lmXGCq7DU+bmX3/9xWCmMJylLNHp06ezzGRKECRJS5IKEGTkFpU5KyjkJi5rQHOlsSiDltZZlBGU3LJlC5uXwIThLGWOUnYqSRYIGxVUo6xWMsq0FTdp4SydPQK/tC8EqSluJLkhLPlZsWJFzJgxo8j9kHQGSaqCakoJwK6gPT1sIBOGthRzArTUVlLmrDCcFV4LyT7wcFbSroi9TinV9ARJktETFgoub+UwAmJwdm8dc9gZA9G5FTCg/dNyGJCSX/L/Nt/Fo/fx6F3PFmv7f1mYgQCE18OeyMvLhoPDWDg7KbYSZMmvWMYRxeBsXKY+zLRTEWrcEnYzzsnorOw293r4LZKS/GFrOwhu1X4pfKGFwdnWc4HTk4AnB4AWM4D2i8tusBS5soLgLBXwy8tFcpN52LqbkzYYvX4HjFUsq+bGy2isuvwSfmEfRQqCKTI8cvkSg7NUGIgKBFk5uWDwMtEHhsnJL/IB7TtYWfWCew3ZqxPv9NuJdY/Wwa6CHSsQZqFfdoqThkecwPPnXMEvl7cpsA/lKiIL4KzP1Yu4sn0jDE0rYvSGHdDQKgFNYbkOhYp1+qUSkMM9JCSjM5qZ9y3qmLWFhpE2rOeXX5mIqYee4MyzD2jlUgn7RkmpvykGZ0/ruOBJRnekaqeikb4hgu95wdbNHQOWfPkFWcVOhmpMpwA42zhjEyLzTLG05nvY2nCfk82aekJPr/w9RJBrk8Tg7AmNoQgP6w0tg2iMXcNLa8kcUyXBWZoHwS/SzKQr7xERESCdVPpDmZ5ks2bNYnqilHVJRrqqBKsIMr548YL9nDJJ6Yq6PCYMZ0OSfJGUJXqLWdhnNdNmsHIwkxvOkkYp6ZYKW0hICIN8lCFL2qoEFinzU1yTlq77U9YrZZXSdXcyYTgryDgtSNaAwDdpr1JfytAloyv1169fZ7BUGM4SFAwMDGTZqOrq6iy7lmJcFJylAvMkv0DX6itXrvyF5iyNRzrClG1alN4utSPtXMq+PX369KdYCcNZ0pclUF2Q3CfBWS8vL5b1Km7ywFnSlSUgWlAhM9oPymhesmQJmjVr9sV+SDqLlAldt25dlhErbAJdYMpoJiOITxINFBNaA41JILp27drsdXFZA0lwlrKZKXNYlU1lZA2IlNOTCfGCW5Q6TZofgicE9F95U/dVeSP4uUkRASE4e8/cAKk1uCyHPKtxaF9jrhQO+CbFicAmz9dYdekljPW08GxRx0JdhX04hICAn9jrtWttRqVKhbctznxUsq8QnI3L1IOZNgcXsqc8g2bF8qHnJ2lfXr5chNCwAzA0rI7GHhKAdVFwloqCravFwCImeQGV5CjsImmyZe31guAsrbGiEzDlMS5t+RN+nldQp2NXtB+lmnIRVHFdQ72klWWLOAhCcDYq3RD7g7jsl15zF8KpAG3UpKTnDNCmpb2HtVVv1KixWuZTtvjuYhx/dRzNbJpha4etMvdXxQ4RESfh/3w2m5oImKUf5GfO0l//XjAT4a8D0WLgMDTu1VcVl6J6c1puD6R/ZPNKzNLF7rfN8J3DdKhBHWb9qkG/ftkB/LIGPyY5A6P3euNpSAKGNHXALz1rSnYhBmfnaQ+CbqYlDOobYGyTodgxZRTz0WPmj3Bt3Fyyv/LeQgzO7snphMVZw1BdKwL//jIKL17Mw4fwo7CzHYxq1Xi5CKmOixCcfaNZGZc+rEVergZcmr1Fx6GjpXLBNxKKgBLhLF2dpyxEApNkpLlJWp6CTEWCWKSTSVCWjLIaKSNQYNSeMjUp01MeE4az0vQvjqwBwVS6Nj9kyBCmUUrrIKDp7e3NilzRVXxaL8FXyl4lI0mBrKwspolKoDoxMZG9RlnHlDVMWbZ0FZ7ALwFtgnV16tRhEHTPnj2fgCzBTALDFCsq+rVgwQJ2TZ40aYXhLEFbKrhGPmlcyngVlzUgGN6+fXvm5+bNm0wfeNSoUSy7k4zGoP0k35R5SxIO5I+KzpNebFGWk5PDskMJwNJekzwCwUiBPi5lDtN4JMtAurHkm2AsxYZ0WxctWsRgN8WCioKRli6tXR44Sw8FSMOWQCzBcwsLC/ZAgHgd6f5SsiTNl9ZJ+0JgmzgerVWSUZwpO5h0YJs3b86gMoFYkjSlNRCMpf2hPaT1CormEagmMEvxpnkQ8G7Tps0nzdmi4CzFjjRySbOW9sfMTLXqawhipjJwloSGSUPjhx9EM+1IxDgsLIylsfNWziMgBGf31a8EW8M8ROQYY3CHx+U8MMpf/ovwRHT58xYb6K/B9dG1lnWRgz5/MRfh4cehq2uLRg2PQ1u7nFw7F4KzSVk6qKCVgVDLHrCbcED5m1QKRoiIOAX/57PYTBs2OAZjYw5kFWpFwVnqdPkn4O4GoN73QM9NpSACX3mKhcHZfnuBGr2QkhCPLeO4oheDl/0BKyfXrzzhUjC8EJw9E1odr5LMUdXVAb1/Kfw8UtY4B2iDmaQHSXvIaqMujYJXhBcGuA3AgsYLZO2uUu0jIk7D/zkn1+Bs2A0OF/aKzk8Izr5+eB+nV//KMlrGbNoNQ7OKKrUWlZzMCkcgLZ5NLSNHE/diF8LZqAG07Y1gMbGOSk65JCflE/oRw3Z5IT41Ewu718CoFlWKHl4Izh7QrY3X6e2QpBuPBdMXwUzXDNf37cCj86dgZmOLEWv5pa7RugAAIABJREFU7y4S91IMzlZJP4g8qGFb60x07NIbmZkxuHWby+5u1PAkjIy4jCneioiAEJw9rDYJseHtoWvyDqOWj+TDJk8ElAhnBdOhgkVUpIjglCRLSkpidXoIllF2Y3GsIDiblZuO7NzPty0E/vU0jVAcOEvwkACtMFwmQEbsR6BpSvCMQCDBPjKqO0TgkeAiyR8QzCPgSeum6/V0o1oAAwl8UsYpGRUVI9kEQbYsQXDqm5CQ8Ol1ApyUtSwMZ6loGcFGSg4kI4hMN7uFM2fpuj8ZJQ8SHKaiVnRNX2AEZwkSCozake7t1KlTQdqnkoyKYBGUJKP40HiCgmC0dgL1JJEgMMrWJchNRvIWgmJe9G/KNiaISvEjeEq6uMTcCOySXiy1F+gAU3taN2XnHjhwgMFkOpeUHUtyDwIT+KS9ovgSoKV9IjBL85UGztKaKFucoKxgnwWavATET548+cX+0w9o3bR+igPtPWVYN2rUiO2ZpLXQGaBkUHrv0L7RvquiqQycpRR9OtziadqCNHUBMVfFIPJzKqEI5MPZS7YVoOmkwwY1NByCxh78lWZl70D/bffw4G0cetSxwYaBEoAagNzcDNDV9ZSU16hk3gG1a29R9hRVw38+nI1ON0Al3RSk5WhBb84zwMhWNeb3FWdBmYIPvLojJycVLi4LYF9Zii8JkuBsdgawtgaQEgOM+Bdw4K7W8FZIBAqCsxrawELul1Cy24f24sGpoyzjizK/eJMQgXw4+y7ZFMdDuKy7gaO/g02Hos93UpJfPqANgbX1/1CjumxFwsKSwzD84nBEpERgbqO5GFJDtJJ0adm3iMgz8Pefwabr7DQXDkmVgGMjRKcvBGfphRPLFyPoiTcadOuFNnwWmOStzoez9P8jTXVrRGb8xfpUGlsbOlVFdeskOyubLf71i8CEA4/Y4nYMa4j2Ynr6IqvOh7N5AH7UGgndLGNYVg3FhKE7WLOsjAxsnzQcaUlJaDdqIup27Fo2g6aoVQnB2VXZ/bEpuydaqPvhwLLPyTpv3qzGu/ebYWHRGbVq8g9iJYY+H84+03LH7ZBfWfO6jR+g+Qj+/+kSY1dQgxKAs3LNSwGdhOFsavZH3Ao7gLRsDoyKWxfHabCrYim3rIHAX0ZGBiv0RHCtMBhNmbGUuUoAVri4FRXYooxVgoAFFaCi7EvK9CwMghJspCxjcc1W8bUSpCUf4jIMxQ05QUlaf2FGsJhAJ2UCE4QnQFqQERCNiYlhMRQH9Lm5uQyympqaMoCsCEtPT2fZyrQfwpITFGuS4yDYSQ/NyehntA+FGc2Xio2REWQlYG5ubv6pP/2cxqM1kF+Kh7CRfzo/hcVG0nqpL+2/uHSGpH4l9brKwFlKcacNEmhMCAIgeAJA6c9ubm4lFRd+HFWMQD6cPehRCVa6eYj4CAyuvQNw4vRjeFNOBLbeeIPf/w2AgY4mfBd3hLqadFeK4+Pv4/ETrpqks9McODjIp4eknFUpyWs+nM3M1YC2eg4+pBrBZvFTQJ/P7nrydCji4u7A0qIratbcIN0GSIKz5OXOn8CVnwGXjsDgL3WWpBuonLQqCM7qmwFzg0QCsH5oH2RlpOO7H5egSt0G5SQ4ci4zH87+8742QlKNUdMkEp1mLAHcJAOZxCRf+PlORlp6qFyA9n74fYy5PIZNfOM3G9G6cukqOBgZeRZ+/tzVxU//j/A7IRHOfggMwKGFnATC0BXrUcmxqpybV0665cPZS+GuaFixP9JyG0PfIQ1mE8qR5JAUWy34XcfUQBuHxzRBNauCq5UjH85u0fVARHpzJOmGYmUDa2h0+Kyf7nXqKG4d2gtdA0NM2nVYitHLcZN8OBubZ4QGGdyD/JN6y1BvEaeBzlkert+ohZycNNStswsVK5auz7oS3918OLs/90ckRnnAwOwZhg+wAWrzerNy7UUZh7NBPjEsLAfPbUbgOz+0bNARnl7n0a1VPxjqG+HczSMw0jfGhAHzoaGhCY/uEm4XyBVk2TsVBGdl91KyPajGkqenZ6GDUiaqoGhZyc5McaNRRi0VNSvMSMeWZCp4KzgCKgNnKX2Z0pgpDZ2q8lFqNIkik2YIUfOdO3eKPDnhN7QcRmBra5zQfQfjyprIBeDwJAmuvY7wcFaJRyEwMgkd195kI6wbUBe96sqWAUqZDpTxQFa//t8wNSnjhUeWmiMyRQeWeslIyNSDCWnOzn1b7uHs27drEfRuI3R1reHR6By0tCRf62GHRho4S+02NgJiAoEBBwG37kp8R5Ry1wXB2QpWwKyXIgt7fOEMPPdu44vaSLPde7rB/9krXPzASUCMdPKG6dBdUsFZap+Y6MsyaNPTQ2Fj3QfVq8tWROho4FEsvbcUprqmrEBYFWPV+NIkKXSRUefh5zeVNXNymg1HhwlcFyngLPto2LgGz295onqLNug6hQO1vBUSgRWO8I/QxrP4zmhlxen0Wln9As3pl/mQiUVg/klf/P0gGPXsTXBwdBPoa4tm7LDmVxcj6u4W/IkR0MrVgYv+SQyu1xPoIKqHumv6OMSHh6Fp30Fo1mcQH+vCIpAPZ+dkjcPRnNbopXEH6wz2AvPDRHqEhOxB4KtfYGLSCA3q88C7yAN1sC/uBiXhSShXj6Ol5WLU/t8kHs7K+y4sw3BWOCSk90rX34cOHcp0TwmwOTk5MZi4bNkydtVcGtkFecMsaz+SOaBsTkFBKln78+35CKhiBFQGzlJwSLpg3759TLtCYKRDS1oX9vZ8hU5VPEAlOae8ra1x1DEMFbXyEBWXh4F+scCQUzycVeImDN7xAHdex6BzTSts+V6+DLpnPmMRE3MNhgauaNToNNTVFXPFQonLlt+1kOZsZLohLHWTyz2cjY29gafPuCvedersgHlFGTLdpYWzT/8GTk0AbOoBY6/Lv39lvaeUcJbCsGPKaHyMikCXybNQo6UMe1bWYyi+vj3dsPe/VMRkGMCjYghaWrwDBhySGs6Su8REn3xAGwYb676oXn25TFFc470Ge/z3oE6lOtjTeQ801TVl6l/SjaOiLsDXbwob1qnqLDg6ChWfkxLO0tmkM0rW96dfYV+rbkkvo/SMt8IRe/2roIH5ZJhoW6CC5nEYa+4G2swD2vDXnIU3MiUjG+P2P8Lt1zHoVc8W6/oXcK6uLsZq78dITq+PFP1XWJV6Dmg+7Qs4S8UVqcgiGWXPUhYtbwVEICEEL9d2QacM7sHULZ1pqKyT9gWcpdfu3muDtLQQuNdYAyurXnw4C4vAwb7Y7d8GqXHVYWJ+G4M11wDfbePhrLwnppzAWSp0NXDgQFaUizRUSaP1m2++QUhICCsytWrVKtSty/+/Vt5jxPfjIyBNBFQKztKECcxS5TkSgqYqcZRByxsfAYrAoeO1YGGaipQcNbT0ioNpVg4PZ5V4NHbeDsIv555DW1MdzxZ1hJ5WARkkUoyfkRHJ9GepqIO1dR/UkDEzTIohVKZJxLzKsNJNRFS6ASx0ucqr5TlzNjs7kenMpqeHoYrjJFStyhX9kdqkhbPkcFcnIPg+8O0GoP5QqYcoVw1lgLMBd2/i/J8r+aI2Eg6I96JuuBGgBk21XIx18YKeRpbMcJaGSEx8lg9oP8DGph+qu/0u09Gc7jkd14KvoYdTDyxrsUymviXZOCrqX7ZOsqpVZ6CKI/f3TyYlnKX2nnu34/GF0wzMEqDlreAIeM9siNDEzmho3glqSIOtLl1tpvtHACbcBSzd+dAJReBVZBJG7vVGSFwqprd3wfT2ooUR/U/PxdEn+qxHY72D6JIWVSCcpddJfoNkOOp07Ir2o4QeQvAR/xyBhBAMW3kAN3JrY5TmBSzUPABoGxYIZyMjz8HPfxr09auiaZMrfBQLicDVP8bjZWA/9mp3q2lwQDAPZ4tzWsoJnCWJSSoURQW6Zs6cyTRPV6xYgbNnz7ICUYIiUcUJJd+XjwAfgaIjoFJwlkSe3717BxJhpup4JPT7/v17JsbMQ9ryfZQjk4Lw4EEHGKjnIS4yF31fxnEB4TNnlXIw3sak4JvVXAbiyj610a9h5WKNExV9Eb6+k5gPt2q/wtZ2YLH8qWLnzFAfaO9oyaYWl6EPM51UbprlWNaAvkTRlykz02aoV2+/7NsmC5x9fRU48D/A2A6Y+gSgQle8iUbA8zfghljhqQJkDQSdBGCh7bAxqN+1Jx9NsQjkZGVhx6jeSM4A2li+RQOz/Gu4MmbOCtx+THzKNGjTM8JhY9Mf1d2kh6xJmUkYdnEYXsW/wqS6kzC+juppfEdFX8r//0AeqlaZjipVuOxZEZMBzpIu8rYJw5Gekoxu0+bCrVkr/owWdEZH9EAHm1nQVteFidYWGGqcA+oOAujGQZXWwLAzfNzEInAjMBrDdnFVpNf2r4ve9T5LOi3dMBm5sebINPDBspT8itkFZM5S37ePH+LkiiXMz4i1W9nDLt5EI3Dn4mEMvl4BOsjCU90x0ENmoXCWeno/6oOPH5/A1eUnVK4sVjyQDy7oofie+aeQkWgHC4sL6Ku+nYsKnzkr/+koJ3D2zz//xKtXr7Bx40Y8ffoUc+bM+RSzWrVq4Y8//pA/hnxPPgJ8BKSKgMrAWarqNmXKFJY1SzZ58mT07NkT06ZNY7D26FG+0ItUO1pGG+2/+S1ssv0Rn6WGPvc+Vxbn4axyNpy+lNCXE6pYTJWLFWGvXv+O4OAd0NDQQ8MGx2BoWLYK/EWtbA6LVD98SDOCjZ5QpdNyCmcF+nC03x4e56Cv5yj7MZIFzpL3QwOBlxeA9ouBFlwFeN6EIrDWHfjI/T/2kxUBZ0P8ffDP0vnsOu6o9Tuga8hfyxUOHRX8ocI/RloZGOPMgRxmcsJZ6krQgTJLMzIiYGszAG5uv0l9hP1j/TH84nCkZ6djecvl6Fa1m9R9ld0wOvoyfP0mIS8vF1WrTEOVKpze7BcmA5ylvg9O/oPbh/fB3N4Bw1bxVdzF40lnNO1GJGqYNIWWWjAsdfKzN6c+Bvb3BuLfA91WA424wnK8fY7AwQfBWHDSF1oa6jg0pgkaOpri1otbuHbkGrLUs9BTew880vMrUhcCZ8kbwVmCtK6Nm6PHTF5GQvyMdVm4Cy+yLPGD5mFM0Mx/UFBI5iz1FRSb1dQ0QrOm16GlZcwfW6EInNu5Fu8f1oG6Vhq+NxuLCmr5Z5SHs/Kfk3ICZ8UDFBgYiHv37rGC7B4eHnztH/lPEN+Tj4DUEVAZOHvkyBGmNztu3DjQ3/v168fg7IMHD/DTTz/h4MGDsLCwkHphfMOyEwH/8GuIeDGWLSgpLBu93iR8XhyfOavwjd5z9x0Wn/GHupoanvzcAcZ6Wgob49Gjfkj4+AjGxvXRsEHZeeCS9PgMKpwZwuKUnK0NQ83MzzErh3CWrmg/9P6OxcC9xmpYWfWW7wzJCmfDnwFbWwGaOsA0H4DAI29cBChjljJnxa0IOEtNT6/+Fa8f3keT7wagef/v+WjmRyApJho7p41FTnYWuti8RA3jqM+xKQacJScfPz7OB7SRsLUZCDc36a/sXwy6iDk350BbQ5vpz9Yyr/XV9yw6+gpbT15eNsuWpazZQk1GOEt+dk4bg4SIcHwzcjzqdeILAgpiS2f075mz0M2GA6/m2kuhq57/EGG6DxD6CDg2grtlMMMPMLT86mdF1Sbw+4UX2HrzLZwtDHFwdGNsOPArNKM0oWb4AIuS736ebhFwNuLNKxyczz0s7L9kBezceBkJQeBOnzqCafcNYaMWi7s6Qpn0RcBZ6uvjOx70uUKyKCSPwhsXgfjoQPzzmz+y041hb3kIPdT++RwaHs7Kf0zKCZwl2QIqwk46s8JGt5qpMPv8+fOhp6cnfxz5nnwE+AhIjIDKwFkSn27Tpg0mTJjAAG3Xrl0ZnI2Li2PC1JRKTyn1vJW/COzzbAvbvGBEZ2hgwINI0QDwcFahByI4LhWtV3kiLw/4tVdNfN/EQaH+k5NfMv1Z+pJuX3kUXFzmK9T/13IW90tNmOWEIDTVBHb6Qg8PaELlEM7SHicl+cPOdjCqVROtYC3THskKZ8n56UnAkwNAs6lAx19kGq7MNk6NA9bXBdI/frlECXA2NjQYe2Zx2XYj/9wGUyubMhsmWRZ2ZdsG+Fy7BCtjYLDNLdGuxYSz5Ozjx0f5gDYKtraD4FZN+rO8zWcbNjzZAGcTZwZojXW+XmYZFYP08aWM2SzpQIoccNbX8zIub1kPfSNjjPpzO7T1OT3Q8m50RvV9tOBg6A5ddW+Yay/+HBKCsyYOwPFRgO8xoOb/gD67ynvIvlh/Tm4eJv39GBf9IlDTOg8N472RopWM8dgDp6ysz+2LgLPU6OJfa+F/4xps3dwxYAlX+Io3oMH8I4jNNcQqra3oq3Hjc0gkwNmUlFe4/6Aza9+0yTXo68txM6cMbsDxDasR4V8fWgZRGFthnOgKeTgr/46XEzhLN5irV6+OiRNF9bGjo6MxaNAgbNq0Ca6uohrc8geV78lHgI9AQRFQGTjbt29fdOrUCaNHjxaBs69fv2bAdvfu3bCzs+N3sZxF4NbrXcgM5rK9cqKM0THgjWgEeDir0BMxas9DXAuIQmvXStg70kOhvgXOwj4cRkDAAvbPWjU3wMKiq1LGKSmnsVc2ouIdbj3ZatrQzBPKmqUfljM4+zJwEUJDD6BChRrwaHS2eNsgD5xNCgf+cAfycoCJ9wCLGsWbQ1noLYijWRUgLkh0RRLgLDW+sn0jfK5eRJ0OXdF+NF/URjgTrnfDPFRNuS0aUwXAWXJItwz8fCchIzNaZkC78M5CnHp9Cm0rt8X6b9Z/lVMcE/MfkzLIzc2Eo+MkOElTEFAOOEuL+3vBLIS/fommfQahWd9BX2W9qjQondFLS9egnfVgNi1LnSnQUhN67wvgbFIEsLEhkJEE9N0LuPdSpWWoxFyoMNi4/Y/wPDwRNTQj0bbqHcwJPiY6NwlwlrKYt03i9FFJ2oAkDsq77di3G78+t0BtrTCc0fisbcniIgHOUpOAlz8hLOxQ8R8Cl5GNCPK/iQsbs4A8NVSrehLtU/eJroyHs/LvdDmGs1SonQqCEZj9+++/FVYDiIqNZWVlwdTU9KvLJWRnZ4P+6Orqyn9GVKxnamoqdHR0oKEhXzFvFVtOuZqOysDZX375BY8ePcKWLVuwaNEiljnboUMHzJ07F0FBQeyDQV1dvVxtDr9YYP81D3bdKQIWGPxKGwh/KhoWHs4q7JgcuP8eP53yY/4eLmiPShV0FOZb3NGLFz/gQ/gxaGubo1HDU9DVtVbaWMp2nLTYARWQgFCb72AXcRbIFcqmocHLEZyNiDgN/+czWcgbNTwOI6O6xQu/PHCWRryyCLizDqg7GOj1V/HmUNp7RwcAmxpzq+i6Crgg9iVYCjiblpSIv0ZzwGvQr6th7VK29KJl3eIza5bhldddVK3fCL0tvYB3yoGzNK+EBG+WQZuZGS0zhCD92UeRjzDMfRhmN5wt6zKL1T4m1hO+vpORm5sOR4cJcHKScnw54ezbx144uYLL0h+9fgeMLcu3pAmd0cohVVBJ1w4GOv/BVE2skIsAzlLAvLYDF2YDRjacvIEa/2VO/PD/duII9njpIQsa+MH1NSYE/yzaRAKcpcY39u+E97mTrCgYFQcrz5aXkYIqi7iis7ubJ6DtI7GHflLA2ayseNy8xdVEoDoGxsb1ynNIcWjlGsS9rQdd03cYVfNf4NVl0XjwcFb+81HG4Wy3bt2QmSmWWCIWLUUVBDtz5gxjOiSVILDatWtjzZo18u9PMXtu2LABt2/fZrKakuzbb79FWloaa6atrc1kIHr37s24lcAWLlyI+/fvf/o3taPb4GPGjFEKiN6xYwdsbW3RpUsXNibNj+Y5b948tGvXTtKS+NdVLAIqA2dJvmD48OGfDryBgQHS09NBT2x+/PHHL/RPVCyO/HSUEIELvr9AJ3oP82zg+DOaXNnFw1klxJlcfkhIQ+tV15GVk4ufu9fAyBZVlDQS55Yyqbwe9kBKymuYV2yLOnV2KHU8ZTmP+mc+LJ5vQlquDvQWhQK/2ZRbOJuWFowHXt2Rk5OiuCrK8sLZ3BxgTTUgJRoYfg5wbKmsI6D6fk+MAXz+4WLQfQ2wUSwjXgo4S4u8+89B3Dt+qNwXtRGuvj7otzWwvj1TqXCWYp+Q8DAf0MbAzu57VHPlqr9LsuCkYAz/dzii06KxsMlC9KvWT1IXhbweG3uDZczm5KTB0WE8nJzEHggUNYqccJZcnli+GEFPvFG3U3e0GzleIWspjU7ojD7adBRNK/Vg07cxGQf19DDRpQjDWXqFioO9+Q9oPB7owl+7F9/3ecvnISzFFreyqrKXdmuvRFt1oWQBKeBsTlYWtk4YirSkJLQbNRF1O5buW0PFeW8s27QV20Ls0NbgPXZP6QGsqynqTgo4Sx3evl2HoHd0A6szatUsvwUBfW6fxK0DnHxN/W5xaJp4hIezxTmg4n3LOJw9ceIEKNPy9OnTMDMzQ40qDkhN/AgNDU2Y29qhdYeOcHJyKnZEnzx5wpLuBg4ciF69eiE3Nxe+vr7Ys2cP9u7dW2z/8jqIjIwEZfI6OztLdEHQk+bevn17xMfH4+bNmyDgTLIPI0ZwtyMIzqakpGD27NksI5fAL90AX7duHdzdFa85Pm3aNCY3MWnSJDZ+Xl4enj9/jsqVK8PIyEjimvgGqhUBlYGzFBYi/fTUgg5UcnIyHBwc2NMIXt9EtQ5NSc3m7yu1YamRggj1Khjc5iqwtTUPZ5UU/LH7H+GyfwSaO5uzohclYfEJD/D4MZeNRwUdqLBDabPMRZWgrZaJMNcJsB20HFhqXm7h7JOnwxAXdxuWlt1Q011B16jlhbN0kO5tBC4tAFw6AoPLTvE5md4jQTeAvd9yXUZdAfSM5Yaz5GLjiP7ISE1B7x8WsazR8mhHlvyI0Oe+qNm2AzqNnwbs6aZ0OEtxTkjwyge0sbCzG4JqrkL6oUVsxJ2wOxh/lQOV2ztuRxPrJkrdttjYm/lgNhUODuPg7DRXtvGKAWeF5SYG/fYHrJ3LpzYendF6SS2gr2kE486OqPCgJZAWL7oP4nA20g/YnH/Vfvh5wLGFbPtWhltvPrcZkd6RSDRNhEPNcVh75TUs1eJxUPs3OKt94FYuBZylZg/PHMfNg7uha2CISbsOl+GoFb606NBXaLQxkDU429cItZwc5Yaz5OPGzbrIzk5CndrbYW4uWsiovAR439L1SPpQE4aWARi2ZCJwsC8PZxW5+WUczgpCRaD02fmTiHySXzgy/4VecxbCqWHxvxseO3YMW7duxb///gtNTc0Cd+jDhw/4/fff8erVK9jb2+O7775D586cvjSxoRUrVuDhw4fsuj7JXRJQnTNnDoO8VJ+IIKjASBZz5MiRaNSoET5+/IiVK1eyW9qUyUpSmuPHj2d+zp07h8ePH+Pnn39mwHXq1KkgnV0yyowloOzmxt0YIzhLPgnQCoz6//nnn2xtVatWZXCWAOmvv3LFXAWavevXr2eavpJsyJAhDPQS1KU4LF68GNu2bYOfnx/LcDYxMcGoUaNYXCiWNDatg35epUoVNu6wYcPYvAkGF7V2SXPhXy/5CKgMnKUnJrGxsZg5k7sSy1v5jsBx76kwSTyPnDzA3n0n3Kza8HBWSUfi8MMQzDvuw7zfmfcNbE1KrhLn+/db8PrNKjZ2vbr7YGZWenTYInaMhFXocSTkmsBk6Xtud8opnH0btA5BQRugq2uDxh7noKmpoAJExYGztB8bGwExgUC/fUCNnkp6B6mw2wPfAa+vfS72E/OyWHD26aXzuLZrc7ktauPneQWXtvzJNpwKT5lYWZcYnKUx6YEWSQVkZcWhst1QuLoukurwHQ44jN8e/AYrAyvs7bwXNobKKeoWF3cLPr6TkZOTDAf7MXB2nifV/EQaFQPOkp9/N67B81ueqNa0JbpP/0H28Ut5DzqjwYceoLZZa2iY6MB6ngewwlEynKV1X/8duL4csK4NjBMrclfK4yLv9GOSYrB23Vpo5WjBpasLBnsMxuz1e3Hsgzkaq7/APu3l0EGW1HCW5rFr+jjEh4ehad9BaNan/OkjT1+1Gadi7dG3YhBWzZkMJIQUC86Sxj1p3ZuYNEKD+uUPeN87vxePz1ZmR7z1UKBms294OCvvG76wfqUUzka+fY03j0VBa1GhoYfv/548iXfpOUjNzWNNDTTUUNvWAm07cVfmpbWCPtsIvBI0rFatGku+I1BJ8FNglGVKReDp9cGDBzPpA8o2FdQdInjq4+PDblpTJu/mzZuhpaXF4CTJCBAUvXLlyid/JNdA2att27b9JJNJxc6IN5EUwPfff8/+EIMiELp9+3YGMimTuH79+gzi0tihoaFMb5esIDhLIJYkBaigPa2L5vH27VsmdZCRkYFr167B0dGRQVM1NTWJISRZTzKat7W1NQPJ5MPFxQUVK1bE9evX8c8//+Do0aPMP0FYkjUgYEw3zwnIko9ly5YxMC2QCC1o7RInwzco8QioDJylg0NvCHrqwFv5jkBmbgbOXKsDU40sRGnXwsAWp7iA8JmzCj8YUYnpaLXqOtKzcjCvixvGty7+tRVZJ+njMw7RMVehr+cID4+z0NAoBZW20xOA5Q5sqZGNlsCy23Ru2eUQztIV5qfPRrLl162zExUrtpH1CBTevrhwlq7z07V+m3rAWE7frtyY71Hg+GhuudOeAaaOQDHhLLkSgIXOE2fAvXX50rLaO3sSYkLew6NnX7QcNIyLbQllzgrObXz8fZZBS3qLle2GwdVVTPuykAO+8uFK7H++Hx5WHtjZaafC3waUNU/zogw2e/vRcHH+Ub4xiglnE2OisT2/8FLveYtQtV75yvA+OHs6Wmv+j8XebEA16Ne1kB7Ost+zWgHhz4BvfgJaySBHId9uq3yvVYdXISUgBSlWKVg1nnuQHHNTNth1AAAgAElEQVThN0y8rQuvXDf007iOlVrbZIKz/jeu4eJfa5kvyp6lLNryYi+e3EWXI1wW973xTrB2dCs2nGW+7rdHamoQalRfBWvr78pLONk6d/+0DakxzjC198Og+VO5tfOZs4o9A6UYzh74Mf/7iRQRiczMxZNkrm5GBQ01qKsBH7M5SOuqp4mqetLpkVtWdcb3v68rcESCqMR6CHiS0bX7yZMnMxApAKy//fYbDA25z0X6O4FPgrYEO+nqviBrlYqUBQYGSoSzjRs3ZpqvdP2/e/fuzC9l5z59+pTd2BaGs/Qa3eR+9uwZq3nk7++PBw8efIK+BcFZ6kMwuUGDBizJkOAs9SeYSuCWMmfpD2X4SqMBS2CVfLRq1epTDEkC4sWLF+wP+SKATJnCpAUsLmtAnQRwlkBtUWuX4ljwTUo4AioDZw8dOsTeHJQaXliqewnHhh/uK0Xg0N3vYZF+Dym5GmjW5CrMDe25mfBwVuE7MvHgY1zwDYdHFTP8M66pwv1L4zAjI4rpz2ZmxsDKqhfca3w9UXhp5kttIv7sAav4m4hSs4PFIv/P3coZnCUQ88CrG9LTw5gsBclTKNSKC2dpMrs6AcH3ge7rgIacHlS5sG1tgA9PRDUkFQBnAx/cwdk/fueK2vyxBZAiC6AsxNv77AncOLALmtraGL9lP3QMDLhllTCcpSHj4+/lA9oEVK48HK4uC6UK8ZT/puB6yHX0ce2DRU2ly7qVxnFc/F34+k5CdnYi7O1HwcV5vjTdCm5TTDhLTgWFl+xq1ET/Rcvln0sp60lnNPnfUDgb1YOOoxEqja/DrUDazFlq+/YGsC9fCmWSF1CpWimLguKmGxAWgMPbuUxMj/4e6Fo9XyP26mL43DyNsVmzEJFnirmaRzCxtSPQgStIJ40dWjgbHwIDUKdjV7QfJVYMSxoHpbTNoKXbcDfVFuMrB2PepAncKoqZOUsuoqL+ZZ+J+vpV0bQJFcKSnJ1WSkMoMu1rRzYhwJO7Jt1rlhVsXWpwr/NwVrHbW4rhrCyZsyv3/o20jAy0M9GBRv5biG6wPs1UQ3RKOhaMGgLtQuQIxAMu6VYASRS8fPkS+/fvZwD0+PHjuHz5MgO3wtm05Ldly5Yse5TkBATSAfRzaeEsZa2OHTuWZcbS38lIJ/avv/7CxYsXReAsyQhMnz4durq6LAOVZARICkGQkVtU5ixlptLr4rIGNB6NRdmvtE5JRmCV5Bsoe5eMYjVlyhSEh4ejTp06sLKywoULF7B69Wr276LgrLm5eZFrlzQX/vWSj4DKwNk3b96wpyE9evRgT0/EjbQ+1NXVSz5C/IglGoGQBH888+4JPfU8xOm3QN8mQgLhPJxV6F4cexSK2UefMZ+es9ugink+bFDoKNI5i46+BB9f7gsKaSmSpqKqWnrwE+ju4rJD4zptg1nT/p+nWs7grJ//dERGnmVyFCRLoXBTBJx96wns6wUY2wFTHgGaugqfpso5fLAV+Ddf63P+B0A7/72tADhLaz286AeEBfij9ZBRaNi9t8otX9ETysrIwM5pY5ASH4c2Q0ejQbfPWmNfA87S+uIJiLIM2o+oXHkEK8InyRIyEjDs32F4+/EtZjaYiRE1i/+wggPFk9g87CuPhIvLAknTKPp1BcBZKry0ZdwQpKcko7xkeNMZPTrzB7SqwGXNEpglQMtMFjhL7c/PBh5uB5zaAUNOFG8/S3HvJbuWIC84DxlVMvD7sN8/r+TqYuD2WlzMaYTxWdwDyQ01X6PH99NEVhv2oeAr9rY2A/Du6SMc/517QDJi7Vb2sKus263/zmHIZTUYIg1Pf+4ATf18+SMFwFmK3aPHA1jxRHo4RA+JyrrRZ+6e+WeRmWQDy2p+6DMjP2uWFs7DWcVufymFs7IG4X//+x8cTI1hmxQl0tXtu0FYt2M3NmzY8El7VVbf1J6Kjunri96ODAkJYdCVMmSpiBZByYIS9UjygLJe58+f/ymjVBjOkg4tvVaQrEG9evXQt29f9rqAMdFaSB6AYKlw5uzy5ctZNi7JHhB3ouxayngtCs6eP3+eyS/s2rWLFeEqCM5eunSJwdSi9HYFMRWHszQ26eWSZq+xMfe5SW2E4Sxl6VIGsrAPkjWgnxe1dnn2ke+j3AioDJylJwIBAQGFrlb4QCo3JLz3rxmB/Te7wyb7BeJyddG3vVBGIk2Kh7MK25rYlEy0XumJ5IxszOpYDVO+kVyhUmGDF+Lo9evleB+8HWpq6mjU8CQqVBCr3qvsCUjpP3JFM1im+eODjjtsfrwr2qscwdmQ0L0IDFwKDQ0DNPY4Cz09TuZBoaYIOEsTOjQQeHkBaLcQaDlboVNUOWe5OcD6ukBCMNDuZ6DlrM9TVBCcJTBLgJau4478cxv0KpTtarC3/t4Dr9PHYFTJAmM27hLd8q+QOSuYAJexSlIC0oNRn2gfDL84HFm5WVjXdh3a2csvTSEisSBDBm+R7xkFwFnyLyi8ZGZjhxF/bC7zGd50RnXvA9b6TkzKgCQNPpmscDYnE1hfH/gYAvRYBzQoPsRXuc9JCRO6E3AHVw5fQaZ6JnqP7o1GNkLyGPlwllzsyumCpVlDoK+Rg7/Ht0LdyiafPBOcDQgQfVhhYdEFtWpuZG1OrliCt48fwrVxc/SYKacMSCkKbPuFe/A6qxJ+covA6OFC8FRBcJbALAFaTU0jNGt6DVpaZqUoOrJP9dzOP/D+YV1oaKVi+PI2ovIYPJyVPaBF9SgncJYA6fv37zF71DDEhgZDS1sH9rXqIjE7F1Rc6+DBg7CwsJA7tgRTSYuVCl5RIa+oqCgGNL29vXH48GGmx0ryBXSdn7JXyUhSICsrCx07dsSsWbOQmJjIXiMpzLVr17IsW9KcJfBL1/cJwFI2KUHQPXv2fAKypHVLYJjAKRX9WrBgAVq0aME0aYXhLEHbe/fuMZ80LmW8issakKxC+/btmZ+bN2+yLFwq0DVgwAA2ZxqDQDP5psxbknAgf5aWlti4kfv8L8rE4ezdu3exaNEiBscpa5ZgMK1NAGcpm5gKmlHBMRrXzMxMRHO2qLVLmgv/eslHQGXgLIk+0xuuMKPUcqpEx1vZjcDT0POIDeSe/CYb90DPBmJ6NTycVdjmTz30BGeefUB9e1OcmNhMYX6L6+jR4/5ISPCGkVFtBmhVzRK9T8HoHKc1mTzwXxhWE4tdOYGziYk+eOjNZUy61/gDVlZKKralKDgb6Q9sbgZo6gBTnwBGys9SCvKJwauHkUhPzoKRuS5qtrKDeeUS0Bb0XAbcWAEYWgCzX4m+hRQEZ8np2bW/I/D+HTTu1Q8tBg5VtbeqwubzMSoCu2eMR052NrpOmY3qLcQ0lb8inKVFxsXdydd6TZQ6c/X82/OYd2sedDV1UadSHWioacDV1BWjao2Cic5nuFRUEBMSvODjSxmzVJxMeu1biRujIDhL41C2c0JEeIlleAfEBeDIyyMISw6DqY4pulTpgjaVFajBXUjw6IxenL8Szc25z2QqAkbFwD6ZrHCWOvodB46NBLT0gRl+gH5FiVtXlhos2LQAWtFaUKuhhkX9xCRAhOAsrXlJ1lDszumMGtZG2DfKA+aGXOwlwdmooDfYP4/Ltu2/ZAXs3NzLUghF1nLi+CHMfGgEB41o3PhtuOg6FQRnySndJiCJA0eHCXByKrsPYhNiX+Hw0ufIyagAh/qB6D52vGhMeTir2PdSOYGzVGBq27ZtLEOVCk8JjPRTfX19WfEsMoKc330nu7YzQUYCtARlBUYg8Ycffvh0hZ8gI0FiARMi9kNQloAlyR9QjSICnnp6emyOpFlL4JOMwOfp06fZ36moGMkmCLJlST+W+iYkJHx6nXRnK1SoIAJnqWgZQVXSdSUjiPz69WuRzFnSpCWjgmEEhynjuHPnzp/WRHCW9HMFRu1I93bq1KkwMZH8OxatlTJlKeOXjHRrZ8yYwdZPRrfJKaFxzZo1qF27NtPGnTdvHuLi4th8CDaTD8oCJh3cotau2DcK700REVAZOKuIxfA+SncE9nm2hm1eKKLyjDCw3ZMvF8PDWYVs8MknYZhx5CnzdWl6K1SzqqAQv4pwkpwSCC+vHsjLy1bsF35FTA5A7C/uqJgTilDjlrCbce5Lr+UEzno97ImkJD8mP0EyFEozRcFZmuCZKcDjfUDTSUCnZUqbMjkOexmPU2tFP8N0DbXw/S9NoaOnqbyxk8KBDQ2BzGTg241AfTF5EAXCWao2TsXByEas3QLKUCyLdnnbBvheuwQrJ1cMXvbHl0v8ynCWJiRajEs6zdeJ1ybiVugtkfXUs6iHfV0ky5NQhhpJGWRmxsLObiiquSpOvxYKhLOCwkuU4T1i3VboG+Vfo1bCQU3KTELXE11B0hHCRsXXqAibMo3OqG2ALYy1K6FCm8ow7sxp6n0yeeAsdT42Amw/avcHvtumzCWolO/z3ufx8NxDpGinYNzEcXA2EbtZJAZnk6GHqYZr8F+MCbrUssbmwZxOoCQ4S22oMBidU1s3dwxYskKl4qDIydT+8RgS8/Sw1iMRvb8bKOpagXCWioJRcTCypk2uMA3asmjH169CxPMG0DaMxJjVYvGkBfNwVrHbLiWc5b7DcAWnBKatXREtmt9T7HyU5I0yUgUAsKghDAwMcOpUfrFuOeaSkZGB2NhYBlYFhb/E3VBmLGWuEoCljFqBEaikjFWCusKyBoLXSZ+VJBAKg6CRkZFMT1YgD1DY9AnSkg9xGQY5livShcAurb8wI1hcWDJiTEwMk1qgtRdkFFNaV2G1m6Rde3HXyPcvXgR4OFu8+PG9FRSB64GbkRO6mnnLrjQcnWoVUOCEh7PFjvbHtCy0XuWJhNQsTGvnghkdXIvtU9EOPnw4ghcBXEEZd/e1sLLML06i6IFk9BdzaT3M73HnMnvac2iaFpB9WQ7g7MvAxQgN3c9kJzwacU+olWaKhLMpUcAaN4Cu/Y+/DVjVUtq07xx7jadXg7/w32lMTTg3kP9KmMQJC7QiLd2BCWKSG9RZgXCW3F3btRlPL51H7fad0WHMZ60rifMsJQ3CXwXg75+47Kv/zV8KxzocdBExFYCzNJ+4uFv5GbTJsLcfDRfnoq9Jj7o0Cl4RXl8sp5Z5LZZRW5hVUvuIlprPoYdMBOba4GGOi2J3MyUaiBaTuNIzBSzlk7mpejYeetFZiKmtj8iGystcj0uPw5uEN1/EYpj7MMxuqLwMPjqjXiv/RoOKHaCmqwHbxQXchJEXzrKHPQ2AzBRgwEHATRQ6KHbjVcfbvDXzoJukC4NGBpjTbc6XExODs9QgsO48THzbDK+jkjGhjRN+6OwmFZxNjovF1gncbRySNiCJg7JmW3bvxPKXVmigE4LjS8QyPGmxCoSz5E7wOwpp+7q5/VbWwol3ATdxfl02W1f1NiH4ZgB3fkSMh7OK3XcZ4OyDB11ExtbRsSg1cFaxQVO+t4LgrPJHLd4Ihw4dgqenZ6FOKNNXULSseCPxvUtrBHg4W1p3rozNe/+1RrBRi0MELDH4mwKgAq2Xh7PF3vWZ/zzFicdhqGVrjLNTWhTbn7IcvHgxDx/CjzLtMI9GZ6CnV1lZQ0ntN3GxPYzwEaHWvWE3bk/B/co4nI2IPA1//5ls7SQ7QfITSjVFwlma6LWlwK01QJ2BQO8tSpv6lV3PEegV8YV/dXU12FYzhbWzCWxcjGHtZAJ1QUnc4s4m/Cn3GUk26Ajg+vmK1SfXCoazGakp2DiCK4g3YOlK2FbLrxRd3LWoSP8za5bhldddVK3fCL1/KCQ7VEXgLIUsNu4m06DNyUmBg/0YODvPKzSS/c/1x/PY5zJFuopOLkZUzICRRh7uJGviaLy2TP2/RmPbaD10eMg9EDnZ6gM+GmaV6DSa2zTHlg7K+6yhM1orsjG01LVh2ssZBk2sv1yfvHCWPHltAy7MAUzsgem+JRq7rzHY3zf+RqBnIBINEvHj5B9RSa/Sl9MoAM6i+TRct5+CMfu8kZWTi2W9a6F15btFas4KHN88uJtpJFNRMCoOVpYsOzUBzkvvsCXt7wi0/Kbbl8tTMJzNzk7CjZt12TgNG/wDY+MGZSmkOLRiDeKC6kHPNAgjfy+k8BkPZxW75+UQzlKGp5aWVqFZmIoNsHzeKMuXMmybNVMdeT75VsL34iPwOQI8nOVPw1ePwHmfRdCNOcDmoWc/H82cC/llg4ezxdqrs88+YMoh7qr12cktUMtOeVc8izVRALl5WexqUErKa5iZtUS9uoXA0OIOJGX/yCPzYPliM9JydaC3OBxQL0T/ugzD2bS0EDzw6o6cnGS4uv7MZCeUboqGszThVc4AZecNPQNUzYeZClyI94V3eHDmbYEetfU0kZnGZbwIzMrJGDYEa51NYOVsLL/sgeAKslNbYEgh180UDGdpDfePH8adfw7ApXEzfDuTy3gvC/ba+z5Or/qVLeX739fCsmohGaIqBGdprrGxN1gGbU5OKhzsx8LZ+YcCt2P+7fk4++bsF69t/GYj9ElnVMxy0l4hNWQt8rLjoG3aHrrWo5WzzUG3gBvLRX3bNgA6LJV7PL+tfyPu+StYNa0P1wE95PZTVMfA+EAs9xKbd36Hvq59mZ6vraFita7pjL7beRtuxo2hZW0Ay2kFZHbTHIoDZ6n/vp7A2+tA08lAp7KXiSi8r/N+nwfdDF1YtrbEhLYTCt7yQuAsndFDXsH48QQHsdf2SoNRquj7T7ggmMB5bk4Otoz7HmlJSWg3aiLqduyqlDP6NZwu3bAFu8Iqo2OFIGxbUMjtCgXDWVpn0LsNePt2HSwqdUatWpu+xtKVMqbP3ZO4tY/73b3Rt4nw6Nqr4HF4OKvY+JcTOJtDn0VbtuDChQtM13Xy5MmsyBYVAyPdVIG2q2KDy3vjI8BHQDgCPJzlz8NXj8Chq7VgoZ6KCI2qGNz6SuHz4eGs3HuVkpGN1quuIyY5AxPbOmNuJ6FKznJ7VW5HKjjz6DGnpVWlylRUrcIVzvgalrGoEnTUMhHmOgG2gwr+As7mVYbh7JOnw9nVaUvLHqjpLlasT1mbogw4+2ALQH5dOgKDjyps5sH+cbh+MABJcenMJ2nMUjEwgdVoboOGXR0RHZKEmJBkxIQkITokGcnxXHuBmdsZwsbFhGXXWjsZw0C4sE9hs311mdOYIxvjCdgWAmmUAGdpyL9GD0JaUiJ6zVkIp4aNFRbTr+noyJJ5CH3uh5ptO6DT+CI+e1QMzlLMYmOv5wPaNDg4jIOz09wvQvkq/hWmeU5DSFLIp9em1p+KMbXGfNE2MfEpfHwnIyMjHEq/Kiyl5ixp+xVkhgZfSvWIFF5avAJ21ZVTeGnR3UU48erEp2lRcTWBBq2FvgVG1hyJwdUHK+xYn1q8BA3Tv2H+zEe4Q7daIdXpiwtnI3yBLfk3bUZeAuybKGwNquTor7N/IepRFBJNE7FiygpoqWsVPL0i4Cx1WHP5JTb89xo2RrmYXPs3WOpzhWXICoKz9HPvcydxY/9OkD7ypF2HVSkscs8l4n0AmmzmpD4uDjSFW51CstuUAGdpzJu3GiIrKx61a29FJXNOh7a0274lG5AU7g5DywAMWzKx8OXwcFaxWy0lnA0Ovo+Q0C9l+Zo3K+K7rWJnWixvdN1+2bJlaNKkCSsANmLECAZnL126hNWrV+PYsWMStVqLNQG+Mx8BPgJQSThbGlLp+bOjmAgcezgJpkkXkZ2nhso1tqCGdRG/QPFwVu6gzznmg6PeIahubYR/p7WU209Jd3z/fitev1nJhq1bZxcqVlR8pqOkNYVvHwHrsBNIyDWBydL3RTcvo3D2bdCfCApaD11dOzT2OAdNzRIqIqcMOEs7uMkDiH4J9N0NuMtecVb4EKSnZOH6gQC8ecJ9ATex1EfDLo6o1sQKUe+TkJGaBUNTHZhaGXxxdtKSMhmgJVBLwJbAbUJkqkg7Ywt92DgbM2BLWbYmFl9mNX7KbJNUuEdJcNbn6kVc2b6xzBS18fO8gktbuOq/ozfuhHEly8Lf9yoIZ2myMbHX4ec3CTk56XBwGA9npwK0MwE8iXqCjJwMOBo5wsrA6ot1Jib6sOJf6ekfYGPTH9XdlFtMT9qCYImJz/DQW/S9q69fBU2bXC1wrwSFl5wbNUXP2QskfezL/frbj28RkRIBYx1juFd0x/FXx7HLbxeCEzkN6ibWTVgWLf23OEZnNPFEEOwNqkO3uhnMhxUBnIsLZ2minsuAGyu4Bz/0AKiMWWxyLNb+sRaauZpw6e6CwQ2LgOgS4GxObh5IQur00w+oUfElZtTfDHW1XBaxwuAsvUYFFqnQYtO+g9Csz6BSH+HJKzbjXLw9BlUKwrJZRWiSywBnfXy4IpTCVr36cmhpmX7x87APhxAQ8BNMTBqhQf3SD7zvXdiDx2fs2TrbjdCCW+Mifpfn4axi3z9SwtmoqCj89ddfImNTgadZs2Ypdj5K8kYZsra2tvjpp58wbtw4dO3alcHZiIgIDBkyBOvWrYO7u3IebippSbxbPgKlLgIqA2f5VPpSd3aKPeGUzARcvNkYJurZiNKug4EtPmecFOich7NyxfxfvwhMOPCI9T02oRkaOnz5S6xcjkuok4/veERHX4Gurm0+GDQqoZEBpCcAyx3YeBEeS2HVVUL2bhmEs6Rj+fTpCBaDunV2o2LFViUXf2XBWb/jwLGRgE09YOx1udfz+NJ73Dv5uQhQ/U4OLDtWS6cQ2QsJI2Vn5iA6mMuoFWTW0n+FjTJpSQLB2pnTrDWPOwuczC+yMsMfMLYrfBQlwVkacM+siYgNDWZZppRtWppt7+xJiAl5D49efdFyoAT5DhWFsxT/mFhPpkGbm5sOR4cJcHKSrTBVYpIvfH0JzIbBxqYfqrv9rvxtlTJzVlY4K1x46dtZC+Di0VT5a8kfgYqFEaDd67/305iUQUuZtJRRK4+dnrMYDTTasa6WMxpAy7KAhzYCx4qAs+SLsmcpi7b9YqDFDHmmrbJ9VhxagbSXaUixTsGqcauKnqcEOEudQ+JSMW7fVTyP0ECbyrcxpPo/zGdRcPbFLU9c2LiGtaPsWcqiLa3m9+gWuh9NZNP3nlwN5nbOhS9FBjj7n6cr8vJyRHy1auldIJylRvcfdEZKyisQwLWxzr9dUiqDmoddC3YgLdYJpvZ+GDR/atGr4OGsYne5nMDZb7/9FoMHD0b//v0LhLMkeeDk5KTY2PLe+AjwERCJgMrAWT6VvvydzEN3B8Ei/QGSczXQpPG/sKwg4QOfh7MyH5KM7Fy0XumJiMR0jG1VFfO7Vv/k404YV6RB3Jrbqla14MzMaKZ1mpkZA0vL7qjpzmW0lYSFr+sO64RbiFKzg8Uif8lDljE4S4U1SPs3LT3060hLKAvO0k7u6gwE3wO6rQEayaafGRoQD88DAUiMSWNnokodczTo4ghLR8U/OOBg7efMWsqwJYgrMB2NdFhr+sLGxRRWXfqzORRaZEyJcPb1w/s4vfpXVtRm2Jq/oF6YLrPkd9FXbfHw7AncPLALmto6mLDtALT19IqejwrDWZp4TMx/TOIgNzdDJkCblOTH+pHWtI11H1SvvqJk9kVJcJYmLyi8ZFOtOgYulQDglLBa70hvBmlvhd5i3kmDlrJoSZNWFqMzqvVfJsx1bGHY1AYmPSX87qQoOEu6s6Q/SzblMVCxbHxJfxn+Eoe2HmLL8hjgga5uEjRfpYCz5Gv3hX+w6q4OUrM10dkqFC0qRUBfXx/f9S44i536HFo4Gx8CA1CnY1e0H1XEtXVZDsxXaNtvyXZ4pdlgikMwZk0oRLtXMC8lwll6sE8P+PX1q6JJ44tQU5PvwelXCKHIkNeObEKAJ/f7e58fHWDpIOG9x8NZxW5ZOYGz06dPR2JiInbu3Inx48d/ypwlrdlz586xPzo6OoqNLe+NjwAfAZEIqAyc5VPpy9fJDIp9hBdP+0NHLQ9xBq3Qt/FuyQHg4azkGIm1oMIUVKDC2cIQV2eKSgKQNh5p5Albe/v2WNt2rczjKLtDdPRl+Phyv+C7uixE5crDlT0k0t89hu6etmycuE47YNZUii/QZQzO+vlPR2Tk2a9XlE2ZcJYKD+3tzmWaTvICtL+UHRA/ZJnp2bh+4CVeeUeyl4wt9JiEgVvTAiqkK+mEkuwBySUwKQS/F4iOzEV67meZCQKz/2fvLMCizLo4/qdBGulGERXEQjHW7lhXXWPtdtXV/dR1zXWtNdZV1+7ubl27C7EVpUVSSpBu+J5zx9EZat4ZXmDQOc/jo87cOPe8d+r3nvs/LLOWdGur6jNYS4XImJUinKXhjyyYhdDXL9Fi4HA0/KFXKUWg9IbNTEvFjsljkRIfh1ZDRsOt6ycQVdyUcg5n2WWPvfYJ0GbC3v4XVK1S/BHLpKQ3TMogLS0EFha94FxTIC1TJlaKcJYKL238eSDSk5PR/udfUbttxzJZUv5JjvodZZA2LCmMPdXCugXLonUzk1xVnvbo5ekrULdSK0AJsJrXFEqSMvX5grPk7PkpwKNtgFNHYIAgG7Si27zt84BQIMMhA0uGcsgO5whnnzx5glWn7uNOVhUWolZqAejiaoG+ffsWGbLgl89wbJFAs3L4ys3sZldFs5tXTmPYNVUYKiXj2fxugHoxWd20uFKEszT802eDEB//AI6OM2BnW1BTW97jm5X1EbtmnUdmkgXMq79Gr8m/SnZZAWclx0iaFl8xnM0MT0a69wcWDf/3QZixZxF0tXSQnpUBe1Mb5ObmIDAyGN3dO2JIa8HvIL12ghOFClNEQBEB/iMgN3BWkUrP/8WV5xH33e4Ki2wfxOVqondbLygpKUl2VwFnJcdIpMWVN1EYvecxe+TA6MZoWrWyWP+KBGfJ8YCApQgO2cLW0LDBcejp1ZUqHtI2jvq7KczSXyNCwwWWM+9z6/4VwdnQsD3w85sPVRUduLufg5aWDeTFsq0AACAASURBVLcY8NmqNOEs+XloAOBzHmj9B9CyYNEk0aU8vxKCe8cDPj9Ur4MtA7OfwSef6+YyVlYqsLYBUuLTEOUyB7HarYosMmbmoCfQrDVOgdnVHtBWjvsyg645MMWXy4wS27z398GB2b+z47jDV25CJX0DiX3kqcGdA7vgefoY9ExMMXrdDm6uVQA4SwuJib0KL5I4yMuCvf14VK3yW6HrS072xstXBGaDYWH+I5ydyzjDtBThLC1YWHjJwMwCQ1esh6qaOrfrzHOrmLQYBmj3vdn3eeThtYaD/hhqFC09RHvU/KkptFR1od/ZAboti5ExEY7MJ5zNyQRW1wUSw4Hu64B6g3mOTNkO98D3AS4dvIRMlUz0GNkD7pbukh2QAs6ePXsWL7Mt8DTbGhpK2RhTPQu/Detd7Bwnl87H26eP4NToO3T7baZkf+SsRavZe/AuuzLmu0Rh6OARkr0rZTibkPAMj5/0hqqqHpo0vgJ1dWPJPslRi7PbViDkcT2oqCdj1L9doKr66WZrcT4q4Cy/V/Arh7PRa599jtfblHDsC72AkNRI5OTlwkBNBx3NmqCjWWMoQQnqVjow/bUev/FVjCZ3EfDz80NSUhLc3CTfNJY75yu4Q3IDZxWp9BV8J0nh/uPg40gIFICQFIPu+KH+v9x6K+AstzgByM7NQ8tlNxAen4bh3zlgbjfnAn0rGpylBTx52g8fPz6Crq4z3Bue5RwPaRt+9DwOg/8EPyqSB16CTjWOxVu+EjibmPgKjx73YOt3cVkJc7MfpA0hP+1LG87G+ADrGwGqGsCEx4CBoNiGqEX4f8TN/T6IjxQU6rJ3JQkDO5hX0ednjbKOcu0v4M5yQM8S+M378yiZadmIepfItGuLKjJWWTUYlupvYK7mAzPDj9CfIThmzYedX/0PfO7fhnv33mg+oPQz3PnwmcaIj4zA7im/ICc7G11+/R01m7XiNnQFgbO0GDriS1IFeXnZcLCfgCpVxHVDk5N92POpqUEwN+8JF+fl3GLAZ6tShrPk6vaJP+NjZASa9R+CRj2KzmLkc1lFjeUZ6ckgrVBmyEHfASNrjUR3x4JZ27RHH87fjVr6zaCspwbLWRw/l/iEs7QQr2PAsZGAhh4w2QvQLOf3whJcqD/W/QG1WDUouShhbh/xk0RFDislnKVxHmTZwzfHBDbauTg7pRMMKqkVOXxMcBD2TBNkR/40fymsa1ScAjxHju7HtCcGcFSJwtVFHMAsLbKU4Szbsq8nIirqHOzsxsCxavE3YkuwnXjvmhDnj4PzvJGTqQN7Nz90Hf1JX17STBzhrK/fPCZ9I2qkL06fDwoTicA3AmcJxqblZEBLRQMqSsrIAzuggZTsNKgqq0BDWb1EcDY0NBQjRgjeFw4fPgwjIyP27xUrVuDjx4/466+/JG676dOnY+TIkXBycpLY9ltusG3bNlbcrXPnzjKFYf369SBAS5IW8mhf8z6QGzjr4+ODX3/9FXp6ekhPT0eVKlVARcL8/f3Rp08f/Pzzz/K4NxQ+yRCBvddbwBLhiM7TR/+2T7mPoICznGP15ykv7PUIhl1lbdyaWjhkqIhwlgo7kP4swQUT47YwMekENXVDGFcWyA/wZR8WOKNybjjC9JrD+rdz3IetwHA2NfUtEpO82J3xd+82IjnFF9bWQ1DdieMPVu5R4t6ytOEseXJuEvB4J9BoLND5i65mdmYubuz3gd/DSOavnrFAwqDmd2UnYVBkoOLfARsaA1lpQM9NQJ3+RTbNy8tjsDb6XRJi/cMQ8+o1YrMcxNrrmWgxKQQCzpRla2wteyGahOhIbPtVoOE7bMUGVLYuCLy5b4Cya3l5y1q8unYJ5o5OGLiI4w1Dcq8CwVlylyRiBIA2B3Z2o6GnW4cVDFNSVsPbt6tB7wPm5t3h4ixFDPi8TBzhbHCIF06eOCk2s4aGOsaNmy7RG2HhJTVNLQz/dyN0K5d/Jt0h30PY6bUTEckRzP92du2Y1IGrsevn9VzbtAHV3wn+b9S/BirVMZG4VtaAbzhLYx4dCrw+BdQdCPQQr07Ozanyb/Xfk//gedYTyerJGDNuDKoZVuPmlAxwNi1PjckbROTqoXtdK6zuV/zJn0ub1sDrxmVY1XBBv/llpPfMbfXFtnKeeQKpeRpY1zQZ3//wE7cRywDOknb2/QeC78KkPautzfFac1tBqbU6tnoZorzdoK4TidHLB3CfRwo4Gxa2V2xcummngLP5Qv2NwNkTETdw9v0dLHEZD3PNL6ct53tvRUJ2Cv51ncQLnFVXV0ebNm0wZYpAYmn58uVISEjgBGfbt2+PhQsXolGjRtxfD99gy4kTJzKAPX78eJlWL+9w9mveB3IDZ2nnEKBdt24dAgICGJilOyq9e/dmfzgde5ew/ehHKv1RVlYu0JL9gI2KgrGxcaFHRii1Oysr6/NdHpl2uqITrvusRV7EKhaJHNOR6FBrFveoKOAsp1jd8InG8F2PWNtdw93RqnrhP+AqIpylNUVEHIG3j/hRP11dF7jVPwQVFQnaZhwiGHNhFUweCoBk9mQfqOpLAeMqKJwNDz8AH1+Bzp3QtDSt0bTpLQ4RK8UmZQFnU+OA5Y5Abg7w8y3Asi5eXg/FnSP+nxdWt71AwkCjEofjhKUYjs9DC4GyRV1gjBTX6JPmbFy2LaKyqiEmqypicp0Qm+skVmSskp66QAaBYK29Hkwd9KCszEF65pODN3ZvwdP/zsC1TQd0GCOhqnRZxEvCHOE+b3BoriCbqvfshbBzlUIypYLBWVqjANCOR15eboHIUJY8ZcuXm3GEs+Hh4di6dauYm5UrV2Y3+bnYgdlT8N7fF25de6DVEOkKAnIZX5Y20anR2O61HQe8D7DuqsqqLIuWpA4+BgYjYO11VNWtAzU7HZiNk+JYaWnA2cQIYE09IDsdGHAYcOoky5LLtc+M5TOgmawJbXdtTO1SdJGuAk7KAGdpjNhcbdxXqom4DCX82sYRUzpUL3L9KQkfsennQex5kjYgiQN5t3Xbt2G5vwUaa4bg0DwJRcBEF1MGcJam8/P/C6Ghu0CZoTVrcNAWLueAB/vewbmVWcwLl9bhaPWTFBIiCjjL79X7RuDs7DcbYa5RGROqip8o8U56h3/89uCfWv+DVRVrmWUNhJmz9Dm9du1a7Nu3D2ZmZgXgrKenJ8vY/PDhA+rXr4/+/fvD1dWVZdhevEg3V7TZn++//549V1T7+Ph4/O9//0NMTAzbD5aWlpg2bRpq1KjB/r9//36cOHECKSkpjO+MHj0arVu3RlpaGlatWoW7d++yIo4kvUksSktSgVgAlNHp5eWFzMxMGBgYsCzfTp0En480LkFPGpeYUvXq1TFz5kzGno4dO8b+EKS2sLBgfterV6/ItdF4gwcPhru7OxsvLi6OSRDMmTMHt27dYvFTUVFhPjg4ODCgHRERgSVLlrDER1tbW/z444+ffUtNTcU///wDDw8P1k9NTQ12dnacMmeLWhd9J6PvaefPn2fxqFu3LmbMmMF8ys7OxtChQ7Fo0SLY29uz+BAD1NXVZY+fOXMGd+7cYUmb9+7dYzEZM2YMGjduXOQ+4PdFX36jyRWcFQ0DwVI+gKxwTBpv7lwBcFmwYIFYxG/evIm///6bAWGyUaNG4aefBHd8abPSC43AMZm5uTn+/fdfmJhwzFgov2srlzPvu9oAFsrxiIQ5Bra5J52PCjjLKV4kZxD8IRWDG9vhrx61iuxTUeFsbOxVvHg5psC6rK0Hw9RUtuMbooOprvkRurnJCLFqBd0+Utw8oEF2dwdys8V9638Q0NTjdO3Kq5GX1/+QmRkrNv03A2dp1TcWA7eWItL2F9wM74kP4cksFna1KsOtsz0rrCU3FvoQ2N5B4M6g44BjO+6uFVEQLGnYi0/ZtYmIDUtGTGgS0pMFPwrJ1DVVYEGZtZ8KjIkVGStk9qyMDKwZ2hvIy8NP8/6Gdc2i34e4O196Lc+sWAR/zweoUt8dPafPkW6iCghnaYGPn/RBQkLBkyvNmz0sX03GMoKzwS+f49ii2exaD166Bqb2gqJN8mAP3j/Azlc7QX+TVTeqjt5PnNEsvT37v+kvdaBuK8VnSmnAWXLk4WbgwjTAqArwvy+ahfIQQ0k+7LuxDwG3ApConYgZ42fAtJKppC5fnpcRztIAOZa1sfetoNr5P71qo2/DorXc7x7cg4enjrCiYFQcTJ4tMzEWTosfMhcPdVZG45ZSfBcrIzibk5OGm7co8zyP3cw3MGgozyHFgb//Rfy7utAyCsKIxSOl81UBZ6WLl6TW3wic/fXFMrQydkMvqzZiEfmQmYDfX63GrOrD4FLducRwliAkwcdq1aph9uzZYnA2JCSEAU3iMC1atMClS5dw5coVnD59mkFFygQdOHAgnJ2dGbAjvlNU+8TERAZfCfBStu7OnTsRFhaGAwcO4NmzZwzU/vbbb6hatSr7PwHTQYMGYd68eWwu4c3eZcuWMWBIkFaS7d27l62LwCTxpSNHjuDo0aMMSP7555948eIFhg8fzuAo+UbrfPfuHYPVvXr1QpMmTXD//n0GJZs3b17k2oiRUfaoqakphgwZwgA0wW4CmE2bNmVrI1mDHj16MJBNIJjmor8pfjQnAWiKibW1NVvz06dP2ViOjo7YsmULA7RcZA2KWpe3tzcbn9ZL/Gzz5s2Mn9GYBGu7du2KNWvWoGbNmiyss2bNgqGhIaZOnYodO3bg4MGD6NChA4vDf//9x5I36dqR3EL+fWBjUw51USRtBhmflxs4S1ojGRkZhS6DxM9pk8tqFy5cYDSeNgJtelE4S7S/Z8+e6NevH3tBXr9+HfQipE1BF1pI/GlD0d2TCRMmsBcUF10UWf39WvudezEbWh8OsuVp2E5HM0cppSoUcFbi1ph/9jV23nsHKwMt3Jsh/uGav3NFhbOhYbvh5yd+g0ViYDg2sI5IR/WAZGSqKeNOE4EW0rdqSkqqaNOan0JRMsewLDJnQUmzebgxYxF8kpoyV/UqazIo69zMUmbXS63jkSHAm9NAtfbAwGPSTVMEnM1fEIzArEAKQaBdGxOajOT49M9zKSkrfZJB0GMyCKb2etDWFwAHoT08dRR3D+6GY8PG6P67AILJowU89sDpZQuZazJBOo5wlgoa5jd1DRPY2nDUZeQ5eJ6PuiMpyavAqA0bnIKe3pej9DxPK3m4MoKz5MjJpQvw9qknnFu0QefxhRdIk+xw6bWgDFrSo9UISsL88PEw13JAtosm7AdLCZVKC87S0nd3A4JuA99NAtrPL71g8DzyjMUzoJmpCfPW5hjbkqOOp9CHEsBZAgrJlg2x4NwbqCgrYe/IRgWKtYoudcOo/khLSkLbkb+gbocuPEeBv+HmrN6EPe9t0FXvLdbP4pa9/nl2KeDs1asFM5zd3SdDj7TXOdi74I0IDFwOE5P2qO26iUOP8mny6sFJ3N4tuCnc+McUuHXoJp0jCjgrXbwktf5G4OwCn22Iz0zEytrin4dCuYOVtSfD1N6CFzjr6+uLP/74g/EW0p8VyhoQr7lx48ZnzkIZliR/IIR4+Y+zS2pPnIeAaFBQEF6/fo2HDx8y2EsAlJL2CCwSzBQW2qP2BGEJxhLUJSOISvCTC6jMzc0FQUn6Q32oLyX1EfCkcceOHcsgrKjRXASaKVFQ1CStjWKxdOnSz35SdmxycjIbJ7+sAWXE0lopU1VHRyBdRv8mTVqCtl26dGFglzKEybjKGgjjVdi6KLOXwDeBX7LLly8zxkawmpiaJDhLPhMkJnv79i3zTwi6FbIGkt60eHie7k4Is1MLG45IO6Wv06ahux/SGGW/0t2TlStXQkNDQwzO0hvA4sWLWcq1cFx60dCdBtpUAwYMQKtWrT5r3hLopRcZbTA+M3ulWU9FbXvoSi2YqKQhUqUqBra8LP0yFHC22Jjd9o/BkO2erM2WIQ3Qwdms2PYVFc5GRp7G6zcFf0hTpqemppX0+0qkh+v5C1DLyYW/U1UkfTr2ItWAwfdYtqCY2TYGlOXkOHwRi/mY8JhpUIqauroJmjfzkGr5vDcuAzjrdSscd474MUBLVsfyBRr8NgGaOkUXbOF9nVwH9P0POPhJX3bsHcC8NteegnYc4Wz+QXOycz/DWtKupczaj1GCAmlCI0ArlEEgYKtvooVNYwYj5WM8fpjyB6q5N5HO1zJqfXjeDIR5e6FW6/boOHai9LNyhLNvvKfj/XtxmF6t2h/lBmefPR+GuLiCheCaNrkOLS076ePAV48yhLMxIe+wZ6qg8I3UchZ8rVfCOJEpkbgxby2aqwiORY6u+Rd61OuF4S7Doa7C8btwacLZyFfApmaCVYy6Blg3KKPIyD7N+tPrEfMsBomGiVgyYQk0VMRvLEkcuYRwtm/fvlh4/g223QlCVRMd7BreEDZGhUsykTwMycRoautg/I5DEl0rjwYRb73QdEswm/rqIBM41nKXzg0p4Oz8+fNZppyoUYYY/dDnanfuNkZmZgxqu26EicmnUyhcO5dRuz3z1yLpvQt0zX0wZN4v0s+qgLPSx6y4Ht8InPWI88LmoBOwq2SOhoYuMFLXw9OPvnj20Qc2WmaYW3M0L5qzlDmrr6/PYBsd6adsSSGcpWPvz58/Z3IHokaSA82aNWPZoqKas8W1pzGo4LympiZcXFxYkt6TJ08YnKUsWTriT0fnyWrXrs3aEgymOkfEnShzVGiUJEj8pzgjMEo86/3796hTpw7LFqWMT9LUpeP6tF5K9qO6SqJGsgd0alsIRoXPcYmFKJylTFMC3adOnSoAZynmNDdJO4gaZaV27NiRFWoT9Y0rnBVC08LWRfCVxhXCaJJVIBBNWcIUA2ngbHR0NMv4pcxkiqsCzvL7FlfoaETVAwMDP1fxo0aUSUv6Iu3atWPp4LSxaOPS5pbFKGOWXnSimbO0iSnl/Pjx45+HpBcW6Wz8/vvvTIuDXqxCvRC660L/F76xyOLHt9jnmOc4GCZfRlaeEqxrrEUtKymOPAkDpoCzxW6dtituITAmGf3cbfH3j5IznyoqnM3OSYaHR0dkZAgKNQlMCY3cz0NHp2gNN0mvu4gtQ2EZcQofcw1gsEDwQ0Nqq6Cas37+CxEaulNsufZ241C16u9Sh4DXDqUIZykr9NZBX0QHJzGXbZ2N4Ja+BJapF4Fe2wDXPrwuhZfBhCBQ1iI8MsLZwnyPDU1iwJb+xIQkg/4vakaW2tDQTEaI11WY2Ghj4Kcj5LzEgadBvG5cwaVNgkq0P2/YCd3KMsgVVVA4+/79cbzxFq9aToUV69TZxlN0ZRymDOEseXh50xq8unEZDvUa4McZguwOeTLao8rnUqCnVhm37F/gby3B8XYqFEYFw6hwmEQrTThLk99YBNz6B7BxB0ZekehOeTb4mPqR/VBWzVWFUzcnDHCTosiS0HEe4GxyRjamHn2BC16RaFPDFDuGFZ0NvWPSGMS/D0eTPgPQtLcM/pZywMcu2YSLCTYYahaE+ZMFNzuksjKGsxHvj8Lbm3QPGzJ5A3kzjws78eS04AZZhzGVUK1eY+ldVMBZ6WNWXI9vBM5SCM5H3sPJiBvIEdGkr6JthQlV+sBQXY9XOPvq1SsmK0CaqARS6VQyvT8HBwczgFeYEZSjdqQ9SlZce8ogpSPw27ZtY/WGCPrSkXmCs0Kjk9uUWbthwwbmB2nAEmuiI/8EdKUxGpd0W0UZEflLPpKuKo1L89NRfVGjzFXSY6W5RY1LLEThLGXGkh4/ZSNT5izJK9CJb/YxfeMGy7I9d+5cgdpKxMYog5ZuflEWMRlXOEtQvbh1NWjQgK2ZTJitTFq/pPFLcxLnIzBOll/WQDRztjA4K7oPpLlO8t5WbmQN+vTpwzJjiaiLGt3VoFR0SmumFyqJHhNQlcUKg7MkW0AbljQshEabiPQ5KN2dXkC0WUggmoz0LsaNG4fdu3ezuw8kIq2w4iOQkB4Fj2edoK+cg0i12uhRf59MIdPa0wnKUS/F+qb3OYQc+xYyjfc1dVp2JRC7PEJhoquOm5MEb6yS7Oq9uVCO9SvQrE13gfSEPFtGRgSiY04iM+M91NSMULlyZ2hrCzRrZLG81DjorBfoYobW+xNG7aQoZiEyofYK2wKas6kTvJCnJf8SCdExJ5CcTK8vJejq1IWJSXdZQslrH/Vrf0Lt6XaxMTObTUNWk0klmuf+0SD4eUSzMXQMNeDa1hLVm5hC1fccNM78jFyz2kgbcrFEc/DdWfXVIWhcFGSMp457hjyd4jPjC5tf+YM/tHa0FHuKxqHxSmqJsemIDUlBLAO1KYgLT0F21peCUxqVcmFZ3QQmtjowttWBia02SB6hPO3In78jLjwU9br2QKNenzKSpXRI81BvqITeF+uV3nMnchw7ij0W+HYOYmJOiT1mZzcVFuZSFHmR0jdJzePjb+Jjwn3k5qahklY1WFgMkdSl1J9X9TkDjbPix8xzHFojvfd+sbkpM4X01USNsm8o+0QaS0tMwO5JAomldmMmwrERt89PaeYoSVuPeVtRXcUNeeqA0fT6OOR/CPt89yE2XaAR3tW+KwY5DYKDnkOR01Ra6wyl9I9iz6f+7IE8fduSuCbWV2tXWyjHeCOz1RxkNZRSJoA3LyQPtPrEamQGZiLJPAkLBssmj6R+ezHUHq4TmyzL/RdkthSXb6Ef/HTKTtSoenb37oLP1oCYFEw/5Q2fyGQMdLfCrI7VCl1AwMN7uLp5DXtu+Lod0KikLXmhZdTizdO76HM+G8rIxb0xjtAzlX5PKSWGodJm8WzbPHUdpE4s+P2UYEX+zFmCD1wK9YiG5OWrPkhN9UUVh7kwNRU/YlxGoStimjwcXnQIaXFVYGj7Ct0nSvd+JhxU8/ggqLy9LjZHRte1yHYWX+vNW/8gK/OLvjx10NHVQZPGMpwiKd/AlersKoFXoHlCnE/kWDVE+oDTYvPGxsYyjU1RoyPkxA3yG3EGebDM8GRErxX/DpiZm4X36bFIy8mAhaYx9NUEx+DJ1K10eJE1oMxZMoKIb968YbCVYBtltlLGKCXK0VF7gn/0PkqQj2AjZdBSoSzKbqVMVUrsK6o9FQ978OABkyOgTFkCsEJZAyqaRcXe27ZtywpgkfYtXSsqqEVzELCkY/+k6UoSBeTXsGHDir1kQvhIvIqyO+lU9q5duxicpUxaYlwEiSnbn0AwgVKCsnQqm3ylx7/77jtWBIzWRtm6xcWCwC995+nWrRtu377NgDLNQUXSKJOVNGRJDoJYFa1RqONLSYZkFAuKC7Euug5Ue4kSE+m0OYFtoT6spH1a3LoIWNN1pXhQxjMVeSM4S6fPSYuWwCxpBlN8KU50Wl2oOVscnM2/DyiJ82sxuYGzpMNBL0wCoaJGm+vkyZNs01LlNnph0b9lMVkzZydPnsxSvsnyZ85SirzCio/AUc9BMM98gqRcVdSrewwWerJlN6rtaAelyBdik2X3P4ZcB3HY8K1dD4+3cRiy6wlb9pqfaqOTCzdoo/x8H1T/mywWrtzqXZHda9e3FkLErOsOq8T7iFayhsFM2UGV+t+WQK74F93MSb5AJfmHs/J40VUuz4LKY/GK7DktZiCn2RSZ3PW5H4kHJ4KQnSmQcKjV0hJ1O9hAS/fL0SW1vd2gFOqBnA5LkNNAth9GMjknoZPa1hZQivFGTpP/Iaf1nzJNoRTrB7Ut4lW/83TMkfW/VzKNV1yn1MRMxAQnw9/TD4GPA6Gibo68vC/Hh7V01GDqoAsTO12Y2gn+psJjZWVPz5/CvUN7oKqugdEbd7G/ZTG1fT2gFCJe3DK79x7kOomfDvHzn4WoqJNiU1SpMgNWluI/+GTx4Wvqo+x9CqonR4t/LlVpg+x+4jfl6Xgc/egRNcrEIN0zae3B0f14fOY4zKo4ou/8f6TtXmrtn507BbOHxlBVUoNudwdouQmKVpHUwY43O3A8QHDiS19DH8NqDsPgmoOhhII3PNRXOgFp8WJ+Zv3yBHkG0oO0oharHHQLqgcFWnVZvzxGnkE5SmMU4WRAVACObD/Cnm3QtwE6OMp2pF3lxl9QeSCApULLaTwBOW0ERYeFRgVm6Ee3qFGVcKqQLbTb/rGYeOQVUjKyMbOTE4Y3LTxuR+fPRGSAL1zbdkKrYVLWayi1HQr0W7wHT9MtMNk+GONGyPZ5qZQQBrX19cS9VNdB5u9BBTynhJ38cJZAgzSyBjRoXNwtvH4zFlpaDqhf/zSUleRDxujmsU3wvy1IFOg10x5GFtYyXT3Vw/2hHHhVrG/2DxuRW0vwGhUaFVsiKCJqVISJjo8r7EsElP0vQfXoILGQ5Fm7I2vIebHHSGOUkr5EjYAfFb/Kb9JKNJbW9RCFs/c+vMTxiOv4zXEArLW+FElc5rcXWioamFC1Ly9wlk4rU8ErMmFxJyGcpcco85SyXYWF2qktZVhS9inBPoKQxF+IHRHELao9xZhgI10XMtJ9pSQ7oeYscSHhHHTMnpLyKPEuKiqKZZFSUTChUQIhAczijN6biBkRKyKj93uS7BRmh1KxM8pupe8vZAToCZ4SBCVwSVCWjEAqAUoCx8XFguAsrVHIolq2bMlgLunnUmIj/TsuLo6tiZIKCdYScCb4KpyH9HxpHHqOGBzFg+Ynn+g7FRed3aLWRZIVNKYwHnQdKXuXrgPZtWvXmFQE+U/Pkd8NGzZk14xuchCcJQ5IRteQpEbppjxlWRe2D0rrNVLW48oNnKWL9+jRI3aRatWqxYg63S0h3VfKhqBNRW94pKNBdyJkscLgrFBzljRBhNoipDdL+hhCzVnKmiVCT6bQnJUu8n7R9xD4aijUlfIQr90KvRuJZ8FJNZpC1qDQcHVceRu+UUno7WaN5X3qcA/p0z3AmXyFG2p2A36SLbOZ+8Ty1TI18BEq7RUcDf3QaScqN/7yw0lqTyuorIHU6yyrDjzJ5pDa4wAAIABJREFUGtCR+1sH/RD5NoF5blPTiBX8snIq5E5r8H1gZ2dA3woY5wFoSlEVvbTicm8NcOVPQFUT+CMCUJIRYvIoayDNUo8t+hPBr7xQp8MwGFnV/aRfmyRWZExNQ4UVFzNz0IeZvR77U0n/i6ZmXm4enl0JwYfwFKhpKMPWuTKq1JNBhgBAenIydk0Zx/RwWw0dDbcuJcgSr6CyBtJcvzJtW8ayBsK1rR/ZH+nJSWgzfCzqdfq+TJdc2GS0Rz1n70YVzdpQMlaD1e8FjzbfCb+DHa924HHUYzaEm5kbhtcajpbW+W5Yl7asgXAB538DHm0HanQF+n05jVbuwfzkwLxt84AwIMMhA0uGLpHdLR5kDUQnP+AZglknBDfItgx2QwcX8wK+hbx+iaMLBMkrw1duhpFlyfT1ZV/8l55XL57EqJvqMFX6CM+/egOqst3gQhnLGghX8Oz5UMTF3YVj1amws5P+pg4fMRQdIysrHrtmXkRmshnMa7xGr0lSFlYTHYyjrAH99hUCIWF3+s1LkEdhIhH4RmQN/vLZjjzkYU4N8RstD+JeYUvQSayuMwXGdmYyZ85Ks6cIdFImMsFHYZatsD8V3SLoSJmlwvo/xbUnGEqZlflv4lAfyuSkxwu7wZOens5YFM1D4JCKXxVVvJ58I11ZApvkN2XIEtwszCgrloBk/ufpMZJZIKhJ/YVW1NqEBcEILJOuLv3Jb7Q+ip+w4Bk9T2uijFnR+NHjlC0cGRnJYK5wfnqM/C3K6NQC1XMiK2pdNB/FMr+OsHBO8rGw5yTtl8L2gaQ+FeF5uYGzdJeCRINpY9ILkV4ktEHJhOngdMeCLkRROiRFBZz60J0ASqumv0nfljYpvaCpWBgdMRo0aBATGr5+/TqrJEd6HTY2NkxOgT686G/yafz48bC1tf1cRbAiXOTy9HHfrc6wyPHDh1wt9Gr7AiqyQgVahALOFriUf1/wwaZbgTDSVsfDWW2hpvLlzVzidVfAWRaiqCVNYJbxBhEaLrCcKX48WWIM8zdQwFmpQ1ZsBx7gLOnKUtEvMh1DTbh1skOtlhJ+2B4ZArw5DbSaAbQS14Did4EcRqOMt/WNgOQooONioMl4Dp2KaFJOcDYq0B/7Zk1mRW2GrtgAHUPBF1bS/RXq1tK/4yPFi4wJC4yZOujh9e1wRPiLH81uM6Qmaja1kDoedw7sgufpY9AzMcPodSW4YUgzK+Cs1PEvtkM5wdmnF87gxq4t0DM2wZBl66EhRYEhfgMgGM1j135Y+wgyW41H1IKmk2GR0+x+vRs7vHYgLj2Otenj1IdBWhtdG0GfsoKz2RnA6jpA0nug5yagjmxSIaUST38PXNx/ERkqGeg5uifczaUsWiXqFM9wloZeftkX664HwFRXA7tGuMPZouBNwdPLFiLgsQecGn2Hbr+V8+cSgGZ/7ENYjiEW16aMpuKP+xZ7TcsJziYmvcKjRz2gqqqHxo0uQUPjS6ZgaexBSWOe3bICIU/rQUUjCWNXl+CGIU2kgLOSwi3d8185nE33/sDiMWzNJHSq1wr9mvcQi8/HlASMXDcFiwbOQA1rR+i1k7+TEdJdUNlaU8EtSuoryijRkLJ7y8qEcLZ+/fqlNiVl1G7atKnI8UlvNr+Gbqk5840MLDdwluJNxJ2Kc/n6+jJoam1tzcAppYWXxA4dOoTt28V/gFFRMWFVPEqrJm0NoZEGBqVOC30iDRBhajtpj6xcuZJpkCis+Ag8DDqI5CCBBleKYU/8UG95yUKmgLNi8fMMikPfzQ/YY6v71UP3uuIVGCUGWwFnEe9xDIYXRwpe64OuQMexBD/YaBAFnJW47aRqUAI4633/Pe4d80dGajab0rWVNRp0thfLxizSlw8BwFo3gKqhT/AEDIvWc5RqPbI0vjoXuLsKoCPIk0ooP1BOcJaWfWHdCry5cwMNuv2IloNGFBqJ+PcpYrBWWKytqLBRBvQPE+tKFVXSmN0z7VfkZGejy69TUbNZCTOEFHBWqvhLbFxOcJb82jHxZ8RHRqBJ7wFo2qf8Ci/RHvVbehnWlZyg6qgD81H5jnwXEsTw5HBsfbkVx/0FUgemlUxZwbCBNQeWHZyliV8dA46PBEhnfbIXoC4fuoqz1s6C+gd1KLkoYW4fcfkBiXsyf4NSgLPZuXmYfuwljj8NQ0N7I1YgTFdTVWzmD2Eh2DXlF/bYT/OXwrqGdMVqpF5nMR0OHNqLWc+NUFM1AhcWisuQSD1POcFZ8vP1mymIjDwFW9vRqOY4Q2rX+eqQlOCP/X/6ICdTGw4N/NFllGyFrz/7o4CzfF0awThfMZwVDRQlyVH2JUlIiholqRH7ENbb4Te4itFkjQCdJicJEsq0VdjXEwG5grPlGVbKrqW0d0qrFsobiPpDKdmU1UsaHArjFoG915vBEu8RlWeAAW3FNY24jZCvlQLOigWky5o7eBORiO51rbC6n3SAgg2kgLOIXeAM49xwhOk1h/Vv52TalmKdFHC25DEUHUEGOPshIgV3Dvki3E+QZWldw5BJGFhXLzrzrFCnz08BHm0D3EcDXUp4Y0nWqMT4AJuaATlZQK9tgGsfWUcS9CtHOJv0IQZbfhnO3Bi6bB2MbSVnFyTHZzBY++5FLHw83hdYu5auOtqPcGYyFVzt8ua1eHX9EswdnTBw0b9cuxXdTgFnSx5D0RHKEc763L+N86v/gYqaGoat2AgDs4LHy/ldbOGj3Vu9E3bvBZps5lPcoGpSifO0t8JuYfur7XgWLdBOb2zRGCPe3ECTjwLNvc826SVQWrqwwpMHbkOBbuLarJwXwmPDc4/P4fG5x0jWSMbosaNR3VC2ugefXSoFOEtjh8alYsrRF6Ab773crLGiEJmqK1vW4eW1i7Cq4YJ+85fyGCVphsqD04wzyIQqNjdPRceuJfxcKkc4m57+HvfuC/RVG7n/Bx2dEu4NacIo0vboquWI9qkPdZ1IjF7Ow40hBZyV8UoU0e0bgbOk407FmqhwFElbEPQj3U/SfyUj/VOhjAC/AVaMpoiAIgLCCMgVnCVpgzt37iA0NLTAFaJKh4VpaSgupXxG4Jr3SuC9oJptrtlotHfh4Y60As5+vtjCI3CUWeExsy20NcQzLDjtim8czkb/txKmnvNYqLIn+0FVn1shtWJjq4CznLYe50ZSwtk7R/zw8noYG17bQINJGFDGrEyWngD8UwXIzQZGXwes3GQapkSdSBOaXqdWDYDR10o0FOtcjnCWpr+1bwcenz2BWq3aoeM4QbVYLpaWlIkdU+8W2dTYRgcOtU3gUMcYJra6RbYL93mNQ3Ons+f7zF4IW1cZbmrlH10BZ7lcQu5tyhHOkpMH//wdEX4+qNvxe7QdUfY6lLRHYze/RmUNC2g1MkXlnrLBop1eO5nUwccMwU2qgYlJGJaQCPNsQTFElCacTQwHVtcFcjKBQccBR4Gme3nZjOUzoJmsCW13bUztMrXkbpQSnCXHHr79gImHnyMyIR2T2jlhUrtqYv6mJSViwygBvCNpA5I4KGtbtWUbVr21QHOtd9g7twQyO0LHyxHOkgv+AUsQErINFha94Vyz7IF3qP8dnFkhKCRbq20EWvYRLzwl0/VVwFmZwlZkp28EzpK+6PTp0/Hy5UuxUJDcJJ0wdnV15TeuitEUEVBEoEAE5AbOCgttkYf0JkCCyqJGd3JIaFlhFSMC+6/Wh7lyAiKVLDCwddE/qqVajQLOsnA9DY7HjxsF2qiUWUEZFjIZRzgbF38fKSlfKlYK57KxrthVxhPn2kJPKQGhFj1hM0a86rdM8aROCjgrc+gK7cgRzvo+jMS9YwEgiMd+4LS0YhIGBGhLZLeWAjcWA7V6Ab13lGgoqTsH3wN2dhF0G3IGqFLC4/c0TjnDWZISWDOkN3JzstF3zhLYuHD/ov/gZCCeXgr+HEaNSqoMvFOmdNDzL1mBlCntUMcEDrWNoVtZvDjCmRWL4O/5AFXd3NFj2hypL0mhHTjC2dOn9yIo6J3YEI0auaNJk478+PG1jFLOcDb09Usc+VR4acCiFbBwlA2Oyno57i3aBruk6shTAqwXfAclNSl05PNNGpYUhs0vN+NUwCn2jFV2NkZ8TETfpORC4azno27IyIgWG8XFZSWMDJtKv5yHmwB6/zZ2AiY8kr4/Tz32XNuDt3feIkEnATPGzYCZNg83YUsRztKyTz4Lx+TDz1kEVvStg171xb/j3Tu8Dx4nDrGiYFQcrCwtLT4SNZcKTsId76YGt+86lHz6coazublZuHnLFXl5Wahfbz8MDQsW3yv5Iose4cCSfxEfXBdaRm8xYrF4ISaZ51XAWZlDV2jHbwTOCtf+4sULeHt7M4lJOzs7NGrUCDo6OvzGVDGaIgKKCBQaAbmBs1SMiwpurV69utCKeYrrV3EicPb5TFSKO8Ic1rKdhaaOAk3PEpsCzrIQ/rDuLl6GJaCrqwXWDyyBCLgUcPbZs8Fil09XtxbcG54u8SUtrwHeH5gKC78tSMvVgNYC8R+jJfJJAWdLFL4CnSXAWSogdeewH0K9BYVwrKobsmxZaY65S3R4WTUgJRoYeAyo1l5ic94aHBoA+JwHqncG+h/iZ9hyhrO0iEdnT+D2vh2o6tYIPab9KdW6YkOTER+ZAlV1FVhVN4D6J03Gj1GpePs8BkEvYhH5NoGNqaKmzDJpKaO2an0TBD3zxOnlC9lzQ5atgwkHWQVOznGEs6QN9vy5ALgIrVOnTmjcuGxBAKc1lWejcoaztHTaJwGPPFC9aXN8P1GQaV0WRnPiyEdoqmhDv2sV6DaXULiQo1M3VzliWyVlvPhUUblFahqGt1+FBo7fi41AcDYp6Y3YY/Xq7ZUNztIowtdG89+BttK91jkuTWKzmYtnQiNTA+ZtzDG2BU+Z0KUMZ2lR628EYNklX2ipq2D3cHe4O4hLt2wY1R9pSUloO/IX1O3w6SaexGiUvMGslZtwIMoGPQwCsWrG/0o+II1QznCWXAgO2YqAgL9hbNwWdWpv4WddHEbx8jiBW7sMWMumfTJQr21nDr04NFHAWQ5BkqLJNwZnpYiMoqkiAooI8BwBuYGzffr0QatWrTB+PA9HZHgOkmI46SJw+KoLjJXTEalaDQNbXJSuc3GtOcLZt0GrC4yioWEGK8t+/PlSTiOtuuqHVVf9oaWmgvsz2sBQW112T75hOJsxxxgaylkIdxoLqwE8HmNTwFnZ92NhPYuBs/ePB+DZlRDWS1tfA/U72qJ2m0/Vyfn04vEO4NxkoEprYIggA63UzfsscPjT0cZfHgCmzvxMKQdwlhay5ZdhSPoQWyrHciP8PzJIG/QiBgkxaYL9YaCBnMwAJEY/gkszJ3QYyxNUoMEVcJafvSkcRQ7grGjhpZ7T56JK/Yb8rrGI0e7P3g7bbCfkVsqD7ZwW/M251B5Ii8c2Az3s1NdDorIgG3d4reEY6jwUlbUqs//zDmffvwQ2NxesY8wtwIIHGREporL29Fp8ePYBCUYJWPLLEmiqimfSSzGUeNMygLM04R8nX2H/wxDUtNBjBcIs9L/4/+zSOVzfsQma2joYv4Onm3cSAhLq/xzNt4ezVreGWsCuZgmSA0TnkgM4S+7cvfcdMjIi4VprHUxNeYKkEmK6e946JEc6Q9fCG0P4kIgQzqeAszK/vAvt+A3B2bt37+LRo0dISUkpEIopU6ZAS0uL39gqRlNEQBEBsQjIDZxdtmwZvLy8WCVAhVXcCBzzHAPD5KvIyFOCTY3VcLXqyt9iOMLZV14TEB19QWzeGjUWVXg4+yLsI7qvu8fW9Xev2ujXsIQg6huFsxGbBsMy8gzicw1guODLMWleNqoCzvISxs+DFAJn/auswH3vmqBiUWQuLUjCwA46hjz98C5sBevdgRhfoOdmoE4Z3OTZ0QkIeQDUHwr8wGNBHTmBs29uX8eF9f/C0qkm+v+1jN89IzJa4NNoBmoDnkQiJ1vwhKGFFqrWM2PSB6Z2PEglKeAsv9dPDuAsLejK1nV4efUibGvVQZ8/F/G7xkJGe33pKvRvCGRYKg+sCS1XHqsvf4KzNHaImio2G+jjjI42m8tB3wEjao1AD8ce/MNZmuD6IuD2P4BdU2C4+Pey0gxqYloi6HeFSq4Kqnevjv71+vM3XRnB2ZikDEw7/hI3fKLR0cUcmweL657vmDQG8e/D0aTPADTtzUMRKQkRGrV4E64m2mCURRBmT5zAXzzlBM6+jzyJN29+h75+fTRwO8rf+ooY6f5/2/HsjAN7tst4Azi48gS7aUAFnOX3+n3FcJaKofv5+bF4PX36FCQzqaysDCqUTiCWZCaTk5OhqqqKiRMnsvo/lEynMEUEFBEonQjIDZylI3/r169Hhw4dYGFhUWC1ffv2ZVq0CpPfCEQnB+G+R0foKucgRqM++n3H85ebbxzO/rjhPp6GxKODizm25PuSLtOu4AhnX785jvAwzwJTdOjAY8apTAuQvlN2UgxUVwiqYEe6L4B5l4nSD1JcDwWc5TeeInA2IcccdxNH4l1GAzaHlZMh6neyg62z+HFPfh34NJrPOeDQQMCiNjDmTqlM8XnQJ7uAs5/25dRAQJtHSCMncJbWum/mJES9DUD70eNRu13pZintnDIFCTGaMLL6DknxXyA+yWCQ9EHVeqbQMZRRn1gBZ/l9PcgJnBUtvNTpl8lwadmW33XmG81z2m5YKldBnpkybCbzXORJBM4Kp73+0xZse3sar2JfsYfa2bWDu/JrmGYHinlWIlkD4UgbGgPR3kCnv4HG40o1jsLBl+xfggz/DCRbJGP5mOX8zllGcJacppvyU468QEB0MkY2c8Cf3385ReHncRdnV/7N1kbZs5RFW1r29P41/HgmHRrIwtOpDaFdmR/JDeavnMBZcsXzUXckJXmhRvWFsLLiEejnuzB5ebnY+cdOpMU5wMjeC/35kogQzqOAs/y+FL5yOLtli0DKg+CsmpoaatSoAU9PT7i5uTEYGxgYiI8fP7L/E6MZM2YMv/H9ikfz8PCAmZkZHBwEN2JksYsXL6Jhw4aoXLky0tPTGTCn68SnEaBPSkpi11hh5RsBuYGzkyZNwuvXr4uMxrFjx6Cvr1++0VLMXmwEDt7rC9OMJ0jMVUXDBsdhbVCL34h9w3B23fUALL/sC1UVJdyb3gZmejxkCXKEs2/fvsWePXvErmVF/XCO+LczLBPvI1rJGqZzi36/kXnjKuCszKErtOMnOOuRNBBPUnqzJpU0s1C/mzPqtC1h5ri0nu76Hnh3B+i0BGj8i7S9ubXPywXWNwJi/YAWU4E2s7n149pKjuDsuxdPcXzxHBhaWmHI0rVQLaWbr4/OHMft/TuhpqGB8dsPIS4yHUHPBbIHsWHJLHIqqsqwr23MQG21hmZQVlbiGlGFrAH3SHFrKSdwlpy9d2QfPI4fgomdAwYvXQMlJSn2BbfVslbPD5yG8UvBTSbT8XWhbsNDRrfo/IXAWUx6CRjYYevLrdjutR0pWSlQUVJCBwMNtDPQQKVPrwE7uz9hY1PCok+B14G9PQGK36TXgD6PYK+QOAdGBWLvxr3smcYDG6NTtU5SXA0OTcsQzpI3F7wiMfHgM2Tm5GLeDy4Y1tT+s5OH5kxDuO8b1OnQBe1GltLnEtU6mLsdLzPMMd0xFONG8aTdK1yFHMHZD3F38Pz5MFSq5IBG7uegrMzDd+1CttSVA2vgd5t+I+Vh0EJX6Bubcth4UjRRwFkpgsWh6TcCZwkk2tjYwMrKCvfu3UOtWrUYe6HMWSoSVq9ePVStWlVmOBsaGooRI0awgB8+fBhGRoLPvRUrVjD4+9dff0m8GNOnT8fIkSPh5OQksa08NBg+fDjatm2LQYM+SZXJ4FT79u2xePFiBmiHDh0KZ2dnUBz4NEqQJEBLtZ/k0SradS9JDOUGzpZkEYq+5R8B78gbCHk9CqpKQLxOG/R238q/Uxzh7OMno5GR/lZsfmOT/qjuxFMVVP5XVuyIryMS0XWNIFtvYY9aGNTYjh8PvjE4m+z/EDr7BT8yYzvtgHHjXvzEUXQUBZzlNaaB2//F/afmSMwxZ+O6VLoMt3bm0O0yidd5OA0W6glsbw/oWQHj7gFahpy6SdXozr/AtfmAhg4wU6Dtx6vJEZyldZ34ex6Cnj1Gs35D0KhnX16XSoOlJiZgz9QJSPkYj9ZDR6N+l+5ic4S8/sBkD96+iEFqQiZ7jvSL7esYo0odY9i6CLQ4izVF5qykCEn3vBzBWXJ8/cj+SE9OQsvBI9Hg+57SrYVDa9qjfvMvwFjNCsrVtWA5XHAygFcrBs7SPMGJwdj0YhPOvT3HptXP1IdTghNsk20xZMgQVKlSpeTukG436Xc7dwf6it/sLfng4iPM3ToXSuFKyKiSgSVDlvA9PFDGcJYWsP1uEP46JyjWtn1oQ7StKYB5Yd5eODxvBvv38JWbYWTJP/i+eP44xt7RhJXSB9xbNBBQVuE3pnIEZ2lhz1+MxIcPN1G1yhTY2/MPvLOy4rBrxmVkppjCouZr/DjxV37jSaMp4Cy/Mf1G4Cxly1KWp52dHdOdNTExgb29PRITE/Hq1SsGaymrVtbMWSGcpZPQbdq0AWnYki1fvhwJCQmc4CyByoULF6JRo0b8XuNSGo1vOEsJU5UqVYK5ueB3EV8m73C2ol33klwXBZwtSfQUfT9HYN+tjrDICUBsbiX0bP0I6iqlcLeZI5w9cuQI3rwRrzjcrVu3Cpuq33fzA3gGxaFNDVNWFII3+8bgbOTixjDP9EaEugssZ93nLYxiAyngLC9xTYpLx90j/nj7PIaNZ6n+GvW1T8BO4ynQ+g+g5TRe5pF6kGPDAYJHpZHVmvQe2NQMSIkFOv8DNCqFY2NyBmej373F3un/Y8dxhyxbB93KPEo4ALhzYBc8Tx+DvqkZRq3dXuTlzs3Jhf+jaAZpKas2Ly+Pta1sqQ37OiZwrG8KY5sijgwr4KzUL6NiO8gZnH1+6Ryu7dgEHUMjDP5nLSrp8XuC6+nGozANFvzIspjdCCo6pSDfJQHOCq/HtK3T4JHngXiNePaQTbINJjefjPa125f8GmenA6tcgeRooNc2wLVPyccsZIQHfg9w6cAlpKuk48fRP8Ld3J3/ecoBztIiFp57g213g2BtqMW+CzqZCTKsz6xYDH/P+3Bq9B0rssi3NZ51AJG5+lhWLxZ9fhrK9/ByJWtAi0tK9oan5/dQVdVD40b/QUOjoNReSYJwZvNyhD6rDxWNRIxd3aMkQxXdVwFn+Y3rNwJnKTuWrE6dOiAI+P79ewZoCZxmZ2ejcePGsLS0LDGc/fXXX7F27Vrs27ePweD8cJYgMWVwfvjwAfXr10f//v3h6urKMmzpiL+2tjb78/3337PnimofHx+P//3vf4iJ+fRbwtIS06ZNY4CZbP/+/Thx4gQrfkZZvKNHj0br1q2RlpaGVatWgYqjEQj94Ycf0Lt3b07F0EJCQrBo0SIWPz09PTY2Zc3SH/pueejQIdBpcJInoIzaAQMGfAatT548wbp161jcKWO5T58+bF7RzNmlS5ey7GV6/MyZM7hz5w6bhzKdhada6TqRkZ7wkiVL4O/vD1tbW/z444/o1ElwkiQ1NRX//PMPKFtaKJNAUJ5L5izFh2AuxScrKwvVq1fHzJkzmezC1q1bcf78eWRmZqJu3bqYMWMGDAwM2P6hrF+KDQF/Mlqrrq4ue7y4tRR13fl9kcvPaHIFZxUVAuVnY0jjiUfQPqQEzRW82I16oVvdf6Tpzr3tNwhnN94MxNKLPixGt6e1hq1RJe7xktTyG4KzcfcPw+jyzywiSYOuQdexFLKTaHAFnJW06yQ+/+hcEDzPBbF2WhqZqK9+AHW1T3/pV55wNj4IWF0XUFEHfvEAKleVuB7ODS7PBu6vBYyqAP97xrmbVA05wtnc3Ay8fFXw6Gpt101QVpZRm7UIRy9tXAWvm1fh1rUHWg3h73TDh7AQ7Jn+P+RmZ6Pr/6aixnctOYWKbgwEPIlG0PMYvA9M+NzHysmAFREj2YNKeiIATQFnOcWVcyM5g7Pk945JPyP+fQTce/RB8/78wSnao9GrnkNX1RAaTY1h8kNNzmGSqiFHOLtp0yZERkbCx8AHvga+yFbKhqaKJka6jsRQl6HQUi1hle5XR4HjowBtU2CyF6DK73sJxWTWmllQj1OHUi0lzO0t+F7Ku5UTnE1Oz2YFwv579R5Nq1ZmGbRa6iqIiwjDzsmC9+uf5i+FdQ0X3pa8Z/9uzHlljNpqYTjzVyncMCRP5Sxzllx64z0d798fg63NCFSr9gdv8UxODMTeP3yQm6WFKu4B6DxC8L2Ud1PAWX5D+o3AWdIczcjIgLGxMSsI5u3tzeQGqDAYATUCmCWRtRNmzhKcJGharVo1zJ49WwzOEtwk2YKffvoJLVq0wKVLl3DlyhWcPn2aQcbx48dj4MCB7Gg/+ULAs6j2lPFL8JUAL2Xr7ty5E2FhYThw4ACePXvGQO1vv/3GYCf9n0AjQdR58+axuQgik1FxSQKIBGmLMwKQ5LeOjg4oY5Z0YQmmUt0kGvfcuXMMSNK4FE/S+iWwSnIO7969Y3CYwGrPnj3Z/58/f44FCxaIwdkJEyawDOaxY8dix44dOHjwIKvX1Lx5c/z3338ICAhg6xP6QuCU4kXjEXCmGFhbW7M1ksYwnY5xdHRkvpC/XODsn3/+yWQuaI0EfSnGtG7aLzQ+PU6ZvZs3b2Zwn8YkWNu1a1esWbMGNWsKvuvMmjULhoaGmDp1arFrIbmF/Ned5De+VpMbOEsbli4e0fucnBy2WakyYFxcHHtBkTYJbXaFyV8E9l3/DhaIRFSeIQa0fVx6DlZgOPvqVhhCXschJyuXZWA16GwPdS3VYmPlG5mEjqtuszZzu7lg+HdfdMZ4CfI3BGdj59eEcV4EwvSaw/o3wdHNUjEFnJU3xu7gAAAgAElEQVQ5rHS8/MHJAMRHprIxnJtZwk3zEPS8VoqPWZ5wljwRFilrMAL4Pp9vsq4+ygvY1Bwgzdk+uwAX/o9PM9ekgLM3bn4pPCNcVutWb3iHsykf47BpzBA2Bel6mtrzcIQawOXNa/Dq+mVYOFbHgEUrZLoyUUGJCHxKGbWxSIgW7EtlFSU4kD5tXRNUb2Su0JyVKbLFdJJDOCssvKSkrIyhy9ejshU/Pwqe/HMIZnFWyFHNgd3CUqx+LSWcpauTpJYEb0NvhGqHsovlauyKYS7D0MG+hPqzR4YAb04DDUcCXf/ldfec8TyDp/89RZJGEkaPGY0aRoLsKN6tnOAsrcMvKgnTjr3E89CP+KmhDZb2qs2Wd3X7Bry4/B+sarig33yeirXmZqPKrIvIhRJ2tEpHm06lIAVFzsshnM3IjMbdu01YbN3dz0FXh58bJ0dXLke0b32o677H6GUDed+anwdUwFl+Y/uNwFkuQeMLzvr6+uKPP/5gUI4Yj1DWgODljRs3PkscEGQk+QMh1Mt/vF1Se8ryJJAYFBTEahs9fPiQwd779+9j7ty5INDYtGlTxpzIqD1BWIKxBHXJCD5S9q0kcElSEAQcCXQKC4CJyhrQmARGCZaS0Snfbdu2MWi7ceNGlhVM/86vby+aOZsfzlLmq7CgG2XrkuTE0aNH4ePjw9ZGmapCfkb/7ty5MwOpXbp0YW0pA5eMq6yBMD4Eh3v1Ev9MGDx4MAPdBH7JLl++zMA2+UMZyJLgbFFrocxbhawBl1cnz21IIJqCTy8U2ii7d+9mqfNE+SnNe+9egbi/wuQrAlffLIdS5EbmVJ75GLRzLsXjxhUUzj67HIL7JwLELpx1DUN0n1Sv2Is5YKsH7gd+QPNqxtg7shS0db4ROBt5bgXMHy9gsc76LRBqevwenRa7iAo4K/UbVMrHDNw95o+Ax9Gsr4WjAep3tIW9q/EXECo6annD2cwU4G9bIDcbGHkFsOHh2OypcVQVCLBtDIy4JHUMOXfgCGczM1Pw6HHBjJ6GDbZAXV2b83RcG945sBuep4/CuUUbdB7/G9duRbYL93mNQ3MFxRL6zF4EW9c6JR6TJDboD91EyEzLZuNRBq2D5mNUzT4BG3XBcUBm/Q4CNbqIzXnq1CmWBSFqdLxMePysxA5+LQPIIZyl0NJ+on3l2qYjOowpuUZk+GsvZO+JhYqSCvR6OECvsXXpXUEZ4KzQGccujjgddRo+cYITPN0du2Oo81BUM6wmm78J4cDq2oL3zyGngSr8QekZy2ZAM0UT2u7amNplqmz+celVjnCW3LvpG4PfjjxHXEomfu9QHRPaOCI9JRnrR/Rj3pO0AUkclNSWb9qKde8s0abSW+yYU/I9X6Q/cghnydfAwGV4F7wJFuY94ey8vKThRGjAbZxZLvjscG0fiRa9BpR4zCIHUMBZfmOrgLOf48kXnKVj+wQHKUuXsieFcJaOwdN3JZI7EDXKKm3WrFkBSFdcexqDCs5ramrCxcWFZW8SUyI4S1mydOSfZAHIateuzdoSDP75559ZxidlkgqNjuz/+2/xNxTpex6dQCHIKjRROEtwksbMX+Ceju0TxCSjTNv8xhXORkdHM/BLzIxOo1PmKrE0UaMM244dO7LCbPS8UFOeK5wVAmDRvsLxaX00rhDakqwCAWmSsKB5pIGzomuhLFwFnOX3LY3TaD169GAbisAspWfTJiWtCmEqs+hdCE4DKhqVSQQOXK0HM+VERCpZYmBrwRtcqVkFhbMHFzxEXERKgbD0mdkQpnaFV2XeeuctFp33Zn2u/dYSVU1LIWv8G4GziXNsoKeciFCLnrAZs6vUticbWAFnpYrvk4vB8DgVyPpo6aihXgc71Otg+2UMYZaq6KjlDWfJlzvLgWt/AS49gD67pVpzgcZBt4Hd3QQPD/sPsC/5j+oiHeIIZ+nLKRVcyG90/EyYXVCyRYv3pmNpa4b0RnZmBvr8uQi2tUoGU0+vWIQAzweo6uaOHtPm8OkqsjJy4PswEkEvYthpCKEZqYbCQcMT1bTuoPKgvxVwVtaoyymcDfN+jcPzBMD/p3lLYV2zZEfHn84/BNM0K2TpZMFhdhtZo8WtXwngrLAgGBUM2/ZqGzJyMmCgYYDhtYYzSKsiS3Eoj43AxRmAqTPwywNua5DQatfVXXh39x0SdBIwbdw0WGjzqxMqNn05w1ny5cDDEMw6+Yq5tapfXfSoa4UHxw7g/tEDrCgYFQcriaXEhsFlueCG05meWqjdqBT3qJzCWSAXN2+6Iic3HfXq7YWRYdOShBT7F/+LjyF1oVU5ECMWjS7RWBI7K+CsxBBJ1UABZz+Hi084S0XGSFaAskwJpNLxftKfDQ4OZkCvMCNIR+2EN7aLa//3338zjkTZqcrKygz60hF6grNCI9kGyqzdsGED84O0U4lFUXIgAV1pTLgekmCgTFEyUThL+rIERglY5jfiXqSdS1mm+U0WOEsSAwR6KRM3//d2+o5PGbTz589nWcNkXOEsQXSKD8WReJ2oUUZugwYN2HNkwuxk0vYlSQyak0A0gXCy/LIGopmzhcFZ0esuzXWpaG3lRtaARI/pohFxp81LVfxGjRrFUtDpToboxaxoQf5a/T37bDoqxR9jy6tk9yeaVB1WukuVczhLNWRiQhIRE5KE6OAk9ndsaBI+1ZYpNDbaBhoM0JrY6sLUTo/9/T4jE21X3GLt/+hSE6Nb8HPMt4AD3wCcjdg3BZYB25CWqwGtBYLMzFI1BZzlFN5grw94cCoQH8KSWfua31nAraM99E3zaRrKK5wlp5dXExS3GXAYcBII7MtkB34C/C4CNbsBP+2TaQjOneQUzpL/T/47jZu7t6JKvYboOUN2rciARx44vVwAlocuWwdjW57lYESCnRCdBr8tKxAUZY6YrC/v05ZWuXBoUh01GptDU0eQeaHInOW4S+UUzpL3Z/5dAv+H9+DYsAm6/y67DmXgjQfQuCTIoDMZ5QoNRwOOwZGxGQ9wlmZ+m/AWG55vwKV3gux+NzM3pkXb2qa19I7t7AIE3wNazQBalbyI1cxFM6GRpQHzNuYY26KgXrb0DhbTQw7gLPsIuuyLddcDoK+lxgqEudkZYsOo/khLSkLbkb+gbgfx7H1pYjBtxSYcibFBH6NALJv2P2m6St9WbuEsEBq6E37+C2FcuTXq1Nkm/do+9Xj54Bju7DZi//uuXybqtirBdwYuXijgLJcocW+jgLOfY8UnnKVBJ06cyI73E2wl+EaZrZQNS7qsdPSeYCAdjyfoRxq1lEFbr149lt2anJyMwMDAIttTBuuDBw+YHAFlyhKAFcoa3Lp1C6SxS0W5SFKTkg/o+P+cOXPYHAQwSQbA1NSUaamSX8OGFc85SJaTskMJwFLCIUFf4lfCgmCUbUqFryhjl3RjSf+WYCzJNghBJnGw7t27s6JglP1KIFcWOEs6wULdXuJoZLR2igNBVYo7+fv777+DtHkJZAv1YSW9MMgngt2k2UtAmwAwJVReuHCBgW+6jpTtSkkeVNSN4CxJNRCoJjBLGsEUTwLrrVq1+qw5WxyczX/d6bT912pyA2dJQ4OMtEOI3tMPGXrBkEAzvfjoLkRpZOx8rRe2tNeVnZuFk9frwEg5A5GqThjY4kJpTwnIEZylTK+Y4CREhwggLAOxYcnIyxVU+RY1jUqqyEgV/BATmpISoKWrjtTEzALtTxhkIRDZqGWgjfXdXGFqq8va8m7fAJzNmGMMDeUshDuNhdUAnnTYirsQCjhb7DZNS8rEvWMBLPOQzKKqPsuWdahThNSEPMNZ4evHoQUw9KxsL8/XJ4Gjn77sTXgEGDvJNg7XXnIMZ2kJ234diYToKHw/aTqqN2nOdVVi7Q7Pm4Ewby+4tumADmNKGSrQzJ8KgkVkOsM/vRmCMhohJUfwI5y+jNLednQzxevwBwpZAy5XVI7hbHxEOHZMFhRF+mHKLFRzly2T7sUfR1E5xxxZ5rlwmMStUB2X0BXZhic4Kxz/8rvL2PxyM/zi/dhDvZ16M0hrryfFjZD3L4DNLQRDjrsHmNWSeYlrTq5B3Is4JBglYPEvi0teuEySJ3ICZ7Nz85j+7ImnYXC10sf2YQ3x3uMarm7bAE1tHYzfcUjSSgp9/p33E7TaLfiMvjfSBlbVBFlOpWZyDGdpzffvt0Raehhq1VoDM9OuMoVh99z1SI6qCV0LbwyZO16mMaTqpICzUoVLYmMFnP0cIj7g7PHjx1ltITLhCWkhnKXHqGAYZbsSPCSjtgQ5qYgWwT/KaiWJAtKGJYhbVHuqWUTwkfRiyajwFRXMEmrOUrEt4Rx07J6kNUkGICoqimWVUlEwoX3//fcMaEoyApG7dglOaVK2KGm0CguCkc8kjXDt2rXPw1BhK9LdJaNiWlTMK/+cBGcJnrq5ubH1EtglSQhqT0CToC8ZrZMSHPft28cykangFwFmgq9kBKEJBNN49BxlrtL66XECs+SvJF1dGoeKtpGeLckWkGlrazNNYJKooDEpsVJ43Sh7l+JORuum9VMchLWlGjZsyK6RpLUUdt0lXYuK+rzcwFm6a0IvhtatW7OLRhedNg4JJxMtF6ZdV9RAf21+H304CkYpN5CepwS7mmtRy7Jz6S+xnOAsAdfPEPYTkI2LSEZuTkEQa2xDGbDCTFhdmNrqISY0CRc2vQJVARdasz7VUKetDZI/Zgggb7Ag4/ZsSCwuKQvaDUvSgEmOMvu3rpHmp+xaXZjY6TFgK8zIkjnwXzmcDd84CFZRZxGfawDDBcEyh0mqjgo4W2S4nl8JYdmy9LrR1CYJA1vU72hXfHjlGc6S5xubAlGvgR4bgboy6MdtaweEPSqV4jiFBlbO4azPvVs4v2YZLKpVx4CF0hfxenXjMi5vWsOWPm7LPlTSL4M765/grGi8A+ofQUCkFZM+EH5OKKvnIVUlCula0chS/8iaKzRnC9mlcgxn2Y+L7Rvx/PJ5WNVwRr/5/0j18UCNfY5dhc5jDdbP/PcGUDXOd1pA6hE5dOAZzgpnpCzara+2Ijs3G6aVTFnBsMHOgzk49KnJ9YXA7WVACW5wJWckY+nfS6GSp4IaPWqgX12B7mqpmpzAWVpjSFwqA7Qebz+gi6sFNgysj52TxyIuIgxN+gxA097Sfy4NW7QZN5OsMc7qLaZ/qlZeqvGUczgbFXUWXq8nQV+vLho0OC51KO6d24rn56qyft0mmcC2hqvUY0jdQQFnpQ5ZsR0UcPZzeEoCZ6W5KJQEFRsby4rC59dozc3NZQXjSQdWWDyruPYEESnTUig1IPSD+lBmJz2e/zlqk56ezjJ3aR5KECTQmpGRUeQydHV1GehMTU1lWbn5dXOFHQmI0toIUFKGq6jR2giykg4vrZ0PozVQxqxovGhcyg6OjIxkQJoyYYWPUVJkUUb+amgIvsNQO2J2BHVFjeaj2BW2fpqTYl5UbIpbb2HXnY/4yNsYcgNnCwsMvWjyV6yTtwB+i/5EJHjj8aMfoK2cixjNBujX9HDZhKEM4OxnEPsJwpIsAenF5mTnFlijsbUOTOwEAFbwty6UlJWKjEVkYAIbx9BCmxWSyW/BH1LQctlN9vCo2tZop62LmOBEBobTk7MKtNetrMnmFMJa8oGgF2f7iuFs5sdIqK+qzkIR6b4A5l0k3+3kHLfiGirgbIHohHrHMV1Zkvogq9nUgkFZAzOBHlOxJu9w1vcCcLAfYOYCjL0LKAm+3HCyR9uB85+KX80IBjTLACTKOZyluB2YPQXv/X3RduQ41O3APUuJvi/s/n08PoSFoFGPvmjWfwiny1DiRoXAWWFBsPSULJYl/vZpDCICBECWLEc1FRkaH9CwQzW06ihb9mWJ/ZbXAeQczmakpGDdiJ9Y9Nr/PAG123I/nkx71HvGGegpGSG3uipshwuqwZe6lRKcJb8DPgYwqYMrwQINv8YWjVkWbTOrZtyWtb4REOMDdFkOuEuvw7l432JkBmQi2TIZy38uedEmTk7LEZwlfwnMEqAlUDumRRX0No7HmRWL2VIoe5ayaLma553L6Hs+CzpIw5OZzaGhL16Uh+s4UrWTczhLa3n8uBcSEp+jevX5sLYaxHl5eXk52DFrN9Lj7WHk4IX+08vgNAd5p4CznK8Rp4ZfOZyl7FVpjI6if4t28OBB3Lhxo8ilU9YoZfdWZKPESCpqVpQJa0NV5DXKu+9yB2eDgoIQGhpaIG6UOauQNZCP7XTgbi+YZT5HQq4aGrodho1hyYq3cF4Vz3CWMpqEkgTRIYlM/5JAbHZWQRBb2UpHXBvWThfKxYBYzmsSaTh85yPc8I1GA3tDHBsr/oM96UM6y65lGbyfMm3zSyXQUHrGlGGrJ+YrySoUal8xnA1f0QlWSQ8QrWQN07mC4xVlYgo4+znMtD/vHQ+A9z3BsRfzKiRhYIsqdU24Xwp5h7O0kj3dgbc3gQ4LgaYcK1pnpQKbmgEfAgV6i6S7WBZWAeBsiNcLHP3rDxiYW2DI0rVQ09TkFJlHZ47j9v6dUNPQxISdh6GsosKpX4kbFQNnRcc+uu8M3j2Lh0bG/9u7D+goqjYMwO+mdyCQkNB770gRFQQUxd4L9gKKBRUUxIqK/vaGDbCgYkOlCdIUpEgRFek1tACpkN43m/98d1nYySZksplsSd57DgddZu7OPDPb3rnz3QbwNZ8eKRHbpg7a9G6I9v1iUO57dZU30os68PBwViTX/fQd1v74DSIbN8Ftr70PP399o1u2T/8VdeLCYYEFTSefB5NfJS7mVOUQVmM4a9usxQcXQyYNi0u3TvA4osMIFdI2CtPOFO2wG3HLga+vBnz9gce2A2H6w8C4pDh8/fHXKEEJBtw2ABe1vqgqSvrX9bBwVjZ89r9HMXbWf2ofJl/VBf6LP1blXboPuwQX3POA7n275LkvsKMwGs+0P4J777KW8Kj25gXhbFraOvy76VYEBzdHv74L4Our4+IygCUz38O+NV0BkwV3vdYXISdv5a52U4azxhLX4HDWWCj2RgEKVFXAY8JZmeFOShnk5DjOai87KfVESg9rr+rOc/3KC2xPWIZjO++H/KRID7sA1/at2oywldqCKoSzl116OZo2aHuqfICEsPKnqNBaz8a+ycjWhi2spQPUiNjmEfDxLX9EbKX2oZyFv153CM/O26b+dcHD56JL4zoVdpuZmqdGI1onH8tUfxfmaWvbSicRDYKtYe3JUb7y3wHBfkANDWczd69FxHfWMhupF3+OBv2vrdDSsAUYzirKLSuOqNGyMrO9BE69hjVHr4srKGFQ1kHwhnD26D/A9CFAeKx19GxoOfVz7fdPbuWVW3qD6wETDhp2+lXYkReEs7IPc994CXF/b8A5N9yK/tdWfJtyTkY6vh7/MHLS0zD4jpHodcmVFVIYtoDOcNZ+QrCAwroIzGuI0OIYFBeeLo8j9Wnb9Y1RNWprbfOCcFaOzYf33Iz87Cyce9Pt6Hf1DRUeLjlHk17ZiABTEHwHRCD2Chdd1JYtc0E4K09jKbHgo80fYfqW6eq/G4c1VqUObupQwWt4waPA318AXa4FrrPW3tPTnpv2HHyO+aCgVQH+d/v/9KxizDIeGM6qc3LFPryxZDd8TCa8cWFDHJxqnVjxrnemIrJR4wr3fcH8WXhobSha+CTjj1fuqnB5wxbwgnBWfa/Zch9SUn9Dq1aPoWUL6zwpZ2qFhccxY+JvKMqJQmynHbhmTMXrVNSn7n9nOKubSteCDGd1MXEhClCg6gIeE85KgWMZMSsz9Enti9KjZKXGCUscVP2AV7WHmSsvRGzxfqRaQnDFoD8R7G8t6O2Spjec/X4W9m49Ar+iMPXH1xyCINRBcZFjjVi5tbphSxlpGnGqpquvq0aznEQ7kpaHQW+sQLGlBGMvbIcxQ9s6zSmzh8soYBXYqtIMmSjKdwyg60QFIzriOKKSf0S0fxyi/OMQYMotc8b4/fv346uvvtJsk6tqDjkDkfByP8QW7cKxgM5o9NRaZ7pwfh2d4Wxe3uEynyM4uJnzz+0Bax7bk4518+IgJTykdTg7Fr2GNVOlPJxq3hDOyo79PBLYOgs4dyxwgfUHcbktI946ajYvHbjsbeCse5yicWolLwlnU+MPqRIFgaFhuP219xERdeawctU3M7Bx/k+oE90Q9075zCkap1dyIpy1PZfUnK1naoG9G5NwaNvxU5sg9cRlhHn7/jFo1MYF5S6c3vlqWNFLwtnNyxbht08/RHB4hBo9G17/zBdltr49H/WS66HALx+tJ19YDXBn6NJF4axtC/am7VWlDn47/Jt66Lwm5+GOTnegX2y/sjeyKA94twuQkwpcPwPofHWFPn/u+hPLvl+GfN98XDPyGvSN6VvhOoYt4KHhrOzf03O24psNh9GyQShuwSZkbPwd7fqdg8vHTqxw98966gekWsLw7lnHcdV1LioLI1vlJeFsTs4erN8wHH5+EWr0bFDQmQPveZ+8iSP/9YJfUAbue7fic7rCA1SZBRjOVkar4mUZzlZsxCUoQAFDBDwmnJUZ9+SHygMP6L/9xhABdqJbYN3+L5F78EW1fF7k9bisx6u61zVkwTLC2eIRc5Hi10sFkalHrWUJkg6no8TsONJVAkm5tdpWH1Zqtfr5u+i2wjMAjPzqbyzbkYQeTeti7oPnGEJl30l6Uq5mdK0Et+YyRgzX9TuGqPr5iD53mLWObfNw+Af6wpvC2dQ136HBb/er3c+6dTnC2/Q23POMHeoMZ/9cK3UKteUzmjZ9Fs2aOjdDvWt30vHZZITs2p/3Yduqo+of5YKHjJZt1bMSJQzK2glvCWdtPy59A6wzjzdoV/4hWfwksP5j6zIPbXTtofOScFZQlk37AFt+X4xew6/A4DtHleskNWa/Gj8GlmIzLh3zBDqcM8i1plUMZ2WGYmm5mYXYvT4Re/9OUuV2bE0uILY5Kxod+sWgTrS+W2ldC2Dws3lJOCt7PWPsaBw/Go/el16F82+/t1yI1D0HkP/5EfXvIVc1QWT/lgajVdCdi8NZ29YsOrAIH2/+GAcyDqiHpMyBhLRRIWV8LmyZBcweCUQ0Ah7dBvicuSzJxPcmIjAtEKYuJjx/XQUXxIzW9uBwNiWrQNWflRJZZzcPR8+Vb8G3pBg3vvAamnToXK7E51/PwIvbo9A74DB+fnG00WJn7s9LwlnZiV27nsbRY9+jadM70a7ts+XuV1b2Psx8cg8s5iC06huH4XdXvp5ylQ4Cw9kq8TmszHDWWE/2RgEKlCvgMeHshAkT1Kxxb71V+RmaeXxdI/DN8gGIQRKSSiIxYqiLQwWZROWToUiJz0ZyUWucMDfDCXNTnPDpiIJ8x/0v9s2H2T8TRf5ZMPtnY9iV56FPv7NcA1WJZ/n2r8N4avZWtcacB85Bz2auGSWVlpiD5JWLkLJhLZLNrZVpcYlj3TwJBkLqm7AnfivMJy1LTMXw1JGzKZM6IAoJOBJxHpqMXVCJI2HQojrD2SlTpqjZKu3byJEj0bhxxbceGrSlhnUjgayUMJAas1IuQ0bKSgkDQ+508JZwVjSXPAWs+xDofSdw+Xtl+yZsBqYOtP7bjTOtI9Vd2bwonM3LzMRHI60zjd/66rto2LJNmVJLp76PrcuXIrZte4yY7IbvDwaFs/Y7JxNR7lqfiLh/k5GddnpmYLm4KLVp5Y9/kItq6rry/JTn8qJwdt/GdZj35stKSEbPRrdoVabWtsnzUDc7ErlhuWj3jIvqotpviZvCWdmE4pJiNYp22pZpaota1mmpQtpr25ZRbuiH24Cd84F+9wHDXy/3zJu7fi7+W/wfMgMzMeq+UegQ2cG1Z6kHh7MCsTk+HeN/3oLdiVk4v242um76Go07dMZNL7xWtpM5Hy2e+V3929dDi3DehVe51tOLwtmiohNYtbqP8unbZx7Cw7uUaTXr7TeRsqcXAsOP4d439E8gZhg8w1nDKFVHDGeN9WRvFKBAuQJuDWeljEFWlnWEiIzOe++99zBx4kTExMQ4bHCHDh3g4+P+UY619Vz6bcfrMCWerC8bOxpDOz5erRTFRRY1+ZX8SLXVhz1xMAH5dhOp2DYgrF6gGhGryhM0i8Dqf5Zh527tJFCXX345evd28SjKCoQSM/JVOYMCswUPD2mLccPOMNquOrRL1ZyVwDs56lqkxIw4VcvWUuw4OZrMNO4XUYxzhvY6OfFYBPwC3P/aTJz/BmL+naykisbth394/epQO3OftSicTdyfgfVz9+PonjRlIrdgy2jZyEZOljAoS9abwllzPvBKY8BiBu5eDDQrYyb22aOALT8ALc4F7lzo+vPTi8JZwfnzh5lYP/t7dDz3fFzysONnzpGd2/HDpAnK8fpnX0azLi6s42k7etUQztqfGFLuYPeGROzflIJi8+n3Y1X2oF9M1Uenu/4sPPMzelE4Kzsy64WJiN+xFZ0GDsHwB8c67NuR1ZuBhZnq8QajuyKouWsuwGo2xI3hrG07dp/YrerRLj+8XD00tNlQFdL2jO55elMzjgDvdgVKLNb3R3mfLKM9+fqTCMoNQmi/UDwx/AnXn8EeHs4KyKJtiXjix83ILjBjwIn16J2xSZU2kBIHpdurH03DJ4cb46KwOEx9ZozrPb0onBWc/fvfwYGDHyAm5kp07vS2g9fhfX/glzet79XdhiXjvGsqrptuODrDWWNJGc4a68neKECBcgXcGs5Kndldu3bpOjycEEwXU7Ut9N1vPRDtk4VEUxPcMniloc9jLrKcLEtwMohNyEHasRzkZRc5PE+ITxpiAnYjxn+XtVbqbZMR0HGwZrlZs2Zhx44dmsc8MZwdPfMf9QW6c6MILBzjhtvZdUwIdvxoNrb/vR9/rdwCv6Jw+BeFAXAsGREZG6opFyGTqfm6uGRExnNNUccnE/GxV6PpfTMMPUd1d1YLwlm5cLJ2Thy2LFhLwW4AACAASURBVI9XLNEtpIRBM7TuVQ2TGHlTOCsYa94Ffnu+zNrNsM1KLsvdsxRoWk79Rd0nmxMLelk4K3s45c4bUJiXi+uefgnNu9kFOYAatSijF1v37oerxpd/i6kTUvpXqeZw1rYhluISVfZg94YEHN2Tfmr7AkP90bZ3tLo4Ihcpvb55WTh7bM9OfPesNSC87pnJaN61h+YQ7Hz2F4QX1UVuw3y0e8zFtWZtW+IB4axtUxbuX6hC2sOZh+Hn46cmDJOQtm7gydBaSr5I6ZeYbsD9qx1O58+Xfo7Daw8jPSwdE0ZPQGxorOtPeS8IZwXlszUH8NIC63fhi5OXoV+dPDU5mH3LTDyAbu9al1l0fRg69nZxWRh5Yi8LZ2WTV67qDrM5Gz17zEBkpPb7+8xX3kHG4e4IqR+Hu152cTkD28FlOGvs+wLDWWM92RsFKFCugFvD2YMHDyIz0zqioKLWuXNn+PrW0Nv4Ktp5N//7/E2PIzRtjtqK0BbPo38r5ycKMBdakHI4E8eP5VhHxCZY/87LKnTYy+Bwf/VjU/5IABT9+40ISN6gXe62uUBr7wtnZ/0dr+qCSZt1/9no2yLS9UdZRzgrG1W65qxMslY/tDE6teh1qpZtieNca2oEpYxkVjV+m4erCdeqa7K1I1+PRZO4z5BnCUTwi8mut7Q9Yw0PZ3euTVAlDKQ+ZkCQL3oOa45eFzWHj69jYG/IQfC2cFZ2+q32QFYicNO3QIdLTzPMvBbY9xvQ+Rrg+i8M4al0J14Yzm5asgDLP/8ELXr0xrUTXzi1y/a3lN/xxodo0Kx5pTkMWcFF4az9tmadyFejafdsSIKUqLE1qUnbvl9DNaI2okGwIbvn8k68LJwVnwXvvobd61ajZc+zcM2Tk06RHZizFv4brBNyNnq2P3xC/V3OqZ7Qg8JZ2ZwiS5EqdfDp1k/V5rWr104FtFe0vsLq88Vw4NBaYMgzwEDtyNiJL09EYFEgYobG4P7zrPXlXd68JJwVFwlnJaQNseTjssSFGHHrdegx7JJTZGPf+ASzjzfFiAb78Mrjj7icUj2hF4azR458jd17JqF+/YHo0f305/nmNbOwZqZ1csDzRljQbeAF7jFlOGusuwvC2ZSUFISFhSE42Es/u40Vr9W95ebmIjAwkLlXLT0L3BrO2punpqZi27Zt6NKlCxo0OD3r7apVq1C/fn1IOMvmeoG8okwsXNkP9XwKkeTXASMG6r8VVyadSjmcjRMJ1om6bEGsBDulm4z+iW0VcbI8QR0V5AWG+GkXK2NCMHhhOJuaXYBBb/yBnAIzRg9qjQnDXVwvzabqZDgrq5euOSsT2MhEYxK8W/8+PaGN/UGs3zhMHVtbWBvdPMKQYK/guQYI9CnC0Xb3o/GIcuqqueLlU0PDWTme6+bGIX7HCaXYrp+UMGgGOZ7V2nSGs0nJZb8vNYy2C0erdUPtOv/vG2DuA0Dzc4C7frX+w9afgJ/vsf73mE1AZNm1Kat9E70wnBWTzx8ZhbTEY5oJv6ScgZQ16DpkGIbd54ZbcW0Hyw3hrP15knQgUwW1ezcmIT/n9N0msW3qWuvT9o/xiIkvdZ/bXhjOpicl4LMx1hFyl44Zjw7nWOtK75u4BEElIchvW4w295yvm8DwBT0snLXt384TO/Hxfx9jRfwK9dDFLS5WIW2XIjMg3/ekPbgBiLJ+R3p39rtI35KO9PrpePn+lxHqb2AJncqge1E4m5VvVvVnF21NQExBEq7JWoXxn1rvLNq3dQMu+CZV/fdf97dAdAs3/c7ywnBWzNatH4rc3IPo0vldNGxorR8/4/kPkZPUERGNduC25x6qzFll7LIMZ431rMZwVgaqjRs37tRgNZkk9Pnnn4efX6nfwMbukVt6k3KWd999t3ruH374AZGR1oFJMt9Qeno6XnrppQq3S+Youueee9CunYtLAVa4Zc4t8Omnn6r5RoYPH646yMvLwxVXXIEnn3wSQ4cOda5TruXVAh4Tzr755ptYsWIFvv/+e4SHh59CffXVV7F69WrMnz+fVxDccKr9uP5uROauRJ7FB606fYROjcq+LU9ma5db4O1DWPnvnIzTk5nYNl8mDbKOiLWGsXILvISzFbYaEs4+9O0mLNhyDO0bhmPJYycnB6pw56thAQPDWYetKwGSbUHtoSz136nx2WXuRP0mYeockKDWFtyafPSPxDzy0S1okrwAaZa6qPfioWqAqkSXNSycLbGUYN2cOGxadlghSKguo2Xb9K6GEgZlMesMZw/Hf469e60T89habOx16NTRTUH9J+cBiVuAKz4Aet0GTBsMHPu3woluKnGmObeol4aze9avwS/vvIqY1m1xyyvvqAnAZCIwaaOnzURIHTfU8bQdATeHs/YnwoHNKWoiMalPa9+k5IiEtC27nb7w7dwJ5IK1vDCcFZXlM6Zi06JfENO6HW555W3s/Xw5gvf4oxD5aPWqm8oZ2A6Xh4azts1bsH+BGkkbnxWPEP8Q3NHpDoxMSYT/n+8BrYcAt81BTmEOXvvfa/Ap8UH7q9rj5h43u+BkLOcpvCiclT3YnZSl7tSSicLa5ezDpEFRGHDdCNz60jSsyWmMMU0PYOyDbgwSywhnC/0i8HXKxQ4H4EhkE5SUulVr/PjxCAkJcfn5kJz8K7ZuexgREd3Q56w5WDNvGjYvsk5ceeW4WDRp29Hl23TqCRnOOm2/Kycfh/K0v12jDv6GXgusoeKp1rQ/cM8SzUPJycn46KOPNI9JpiHha3ntvvvuQ2hoKF5++WUkJCTggQceUH8koHNXS05ejJzcvfD1CUa9yAEID+tkyKbYwtmAgAAMGTLklItkQBkZGbrC2QsvvBCTJ09Gv35uKA1miIK2k0ceeUQFzQ8++KD6B3l/k9KMTZs2RURERDU8I7v0dAGPCWdvueUW9OnTB48++qjG7MCBAxg1ahSmT5+OFi1aeLpnjdi+pbN/ROrGIDSQER+mYqT6H0HIxUtx04Dv1f5JEGudpEtGxZ4uT2A/q7QNwj/Q91RpAgljpTxBkJ4gtixJLw5nv33hW9TNrw9TiS+2w4QvUYCpI/thQGs3TFpls63OcLaM4ydBn4yqlYneUg5ZR9hKoF9Wa9BUAtuTJRGahSOqeQRMdnntxk9/RFGcCUEIQhEK4Gf6C43PjUXMJdr3D5e/IL04nP3ztSUIyrSgyGLBIVMR5prC0TPdhNBiQF7H1hIGzaqtNEWZx0pnOLtu3SJs3LhR00Xz5i1w5ZXOl2Cp0rmzdxn2fvUtci2D4YMwWJCCKN+f0eiZ2UBANY82PtOGe2k4K7v0w9NPIbKgFSL9G6jboo/l70f02bE49yY3HWObsweFs7ZNks9oGU0rNWpl4j5bCwz2Q7v+MejQL0Z9Fq/9YDn8E/PhW2JCXhDQ9pazEN0qqkqnfpVX9tJwtjA/DzPHTEbrej0R7hOMqJIIVZ29uF8Aml/t5h+RHh7OyjlTWFyoatF+tvUzdQp1adAF0/dsxi8pF+OoT33k+xTD7GNBVqMsvDXqrSqfZlXqwMvCWdnXFbuTMe67f3Ai34JoSwH8YMIxnwCEIR9bnhsMnxA3lNayHYQywtkcn2gsNI1yOEw7LbkeE87Kxq1dfRMO/d0CecdboSCjESxFIajfahtuGu/GuzlkwxjOOv0SX3PoVxyOt74P2VrrLH/027BI26cB4awEktdddx1ee+019OrVS/UvwWNSUhKmTJni9D5UZcUdO55AQuJsTRfduk1FVIOql+iwhbMy55Ds38yZM9GwYUOUDmf/+usvNUn88ePHlcvNN9+Mrl27qhG2ixcvVmG2/LnsssvUv5W3fFpaGsaMGQMpGSGtUaNGkIs5Msm8epl88w1mz56NnJwcNYp35MiRGDx4sBq9+u6772LNmjXqwo8E5XKc9JScuO2223DXXXepdffu3YtJkyZh2rRp6u7wwsJC1K1bV438vfjii7Fo0SK1n1K2Ux5v2bKlOv533HGH2k65a1zOkddffx3//PMPJNS+6KKLcP/993PAYlVOcg9f12PC2euvvx6DBg3CQw9pr95KvUu5qvT++++jY0c3XoX08ANp5OateXIFWkB7O8VCn2Po0rv3qZGx2SfyHZ5SJoCy1YiVvxu2jEBwmI4RsXo33kvD2W+f+x4DCxtr9nIzCnHpq26+XcHF4WxZh1kmuUk+lKkmhJPQVv5bgv+yWlRTCWnD4W9OQdNdFvjCR7NYQusE9Bl5g96zqXqW89Jwdt2kX9E0//QdC4KztyQNOzLCsDOgGBPH9kXjFm6YbEhnOLt+/Xr1hc2+9ejRA1dddVX1HOcKej04bwH81mm9Ck1FiBnTDiGxTdyyTepJvTic3TTxF0SVaEfIHoxOxrljr3WfpzyzB4az9iAZKXnWicTWJyDz+OnP7Zb1ctCtlGeqTw56vOI4Ws2lwF4azibtPYKcz/YioNR3p4Ot83HuSI6c1XsO7Ti+Q42iXXlkJe7ZezXS/bSf8xHFvhj7kpsm/7PtRBnhbFaPB4DztKPjtmzfjmXLrSUbbK1Tp0644Qb3fE954r35+DFBO3eH6C64tjE69dFOZKf3eBmyXBnhbJFfA0w7Mt2h+9TY1R4Vzn7+9HTkHW+t2c6YDttw7aMMZw05N9zQSWLiPGzfMVbzzK2KOqDlujXarTEgnN23bx9Gjx6Nb7/9FlFR1gujX375JZYsWaIeq2rLytqGlNTfdXdjNmchPt5xToSQkJanSnfo7axVS8ca1rZwViZ5l9C0bdu2eOaZZzTh7OHDh1V4eeONN2LgwIHKYtmyZZg3b54KO2WEqQzok/dSKbEnI03LW17mNZLwVQJeCTa/+OILHDlyRNlu2rRJBaBjx45F69at1f8XFRXh1ltvVYGqPJeEyNLeeOMNFZjqGc0sI3ulScgr2ydh6u+//672Vcp0/vHHH5CJy3/88UcUFBSobZCyBvJ7RQJnCWSlj1deeUUNWpR/l4GKMppawmopgyDbKH/YaqaAx4SzUkNErir8/PPPCAoKOqX9v//9D8uXL8ecOXNUoWxPa5s3b/a0TarS9mxashoXnOju0EcmLIiHWfO4CXazQJlK1CiRam1lzTplP5zy5JOrrSo9QZUJ1b995ex885JAhJTx7KmmNJhMp2sEVqtdmZ2XlOnkKFXGctJfGfZG7UNJiQ9KYPsjZ9rpH2jB8EOdEseC+dkoQI6PYz1jo7ZJTz+mEovDyVdicpzIsPRteVbOan8FlbsL0ZZwhzPUghIcNWVD9igkwOSW149PcQFMFu1rxOIbiBIf7UUfi8WC4mLrxDu25uPj47YryyGFfggpOf05ZtumTN8cFPqVMXuenpPLiGVKLPA152p7MplQ7OdYu1G+pJZu/v4GXmyrxP6Yik2ob3bcxkKTGZkBjhcKK9F1lRf1MefBVKI99yy+wSjx0b7u5fyU89S+yWgJOU9d1eTtSe5gkM2ILAl2CBJlO4775MCsXvXuaiWwvo/aNxNKTI5OnvQ+Gljii7oljrdWb/c9iv8CktyFqZ7Xtyhb7pXUbEOx1GstZWo2F6nzw75J3UOTC89R23ObLWYUmeTOGu32mEp80CXbjRe45LO6uBA+Fu13jSIEar6nyH7IlpeUei2JpZ+bJjeeVxKJVQGO7+GX5RWis9l930VNsMCnyPFzqcDi+HoqMWl/h4izv78MJnH99yf5ylZsdiwVE1jnMPqM6OnW13zLteMRkbResw2LA29DfoS17IKtHcsvQnKWdkCEDISyjSx060646ckLClYiK/s9zbPHZDZD5//+1TyWU78r9g38UPOYhIESxNk3yTRs9UTtH+/evfupgFDCyjp1rBf0pRarjOiUco5VbRLO/rXxyqp2U+n1w8O7oG+feQ7r2Yezu3fvxtNPP43PP/9c7bOtrMEHH3ygylza6s+azWZV/sA2SK90WYOKlpdRsJLVSMC5fft2bNiwQYW9a9euVbV9n332WQwYMOBUjV9bzVcJY22jmSXgldG3Msq1oibbJ31KsGxr8t1v586d6o/0I/29/fbbajRw6bIGso4tnJWg9sorr1TLyChhaZKL/ffff8qMrWYKeEw4a7t6JMzdunVTV5BkNJQMNZerDo8//rhHHgFP3S5nsZoHxeJqc19nV+d6FKAABShAAQpQgAIAdvkewxr/nbQwUKBB0rmQkJatcgLLg4vwT6BjuDk0zx+9Cmre5EOV0zFuaf/QROwxaYM843rX19O9wYvRwTdes/BHh89Hbq72Ykd2s/ZAiPbCp9x6LX9qa2vUOB7du/+t2X3//aEYeEQ7p8XB4ob4IE9bF1YutpaufywXESXLKN3kVv7aPHJWwmi5M1omga9Xr96pcFYmwpLwUcod2DcpOXDuueeq4NK+5uyZlpc+pFymBOQSdMp5LeUBJJyVAQgSdMq8RrbsSZaVMFjKaUoOZT8gQUa9SqBaUZPtsy9TkZ2drUbgSj1hCeRjYmLw66+/qtHC8v9nCmfFpnRpTwntpa5x6bsFK9ou/rv3CHhMOCtkUgBZapDI1Q0ZZSL1N2QIudQTqYmzFnriabJiwVy0XeNYB/UfUy58m5+uXeeWbU/YDMgIEPsW3RkI0t7qmpqSjNw87VX4yMj6CAvT3rbtqn0IPFQPHUuNopOvxxlt98MvwHFUpau2C2mHgcRSI7/DGgFNe2s2ITcnB4cOWyeEsrWgwCC0bNXSZZtq/0TpcYVont/W4bkP+CWiTh/Hx126kRs/laFp2qfseTvgrx1FuWXzZuQXaEf8yReH0FD33B0QsD4VYSWBmu3OMOXhbZP1C+XE4R3g7+uGH8M7fwEO/an1bDvMOkmMXZPZbnft2qV5TG4TkqvS7mjpq7agfnqMw1NntM1AWEc3nqM5ycDqUl8ugyKA85/SbKtc5V+6dKnD9g8bNsylIz1tG1CQlYOQFY4/bpL80tDgkvbuOMSnn/OvacCJ/dpt6HU7EK2dQGPr1q04evSoZjkZneSuWvqpi/ajYZHj+01S9yD4h7hnhLTCOR4HxJW6DbNOU6C9dSZjW8vJyVajYOybfC516+54548rTpATu4+izQnHyTu2BCQiepibS3L9/gJQlKdlGDQeCNbWGf3zzz+RlZWpWa5Pn77qVkx3tCVL5qPIVxsS+RcH4s4Lz3HH5px+zj2Lgf0rNdtwNOwKHEjQjqIMji1CSrb2u5P8MJeSO+5oHy/dj5lmx5rSj4al4fx+xkz449R+5aUBK7WTdxb7hGJt+k0O3eVExDncGDd0yBB1y7Krm7moEH8tyEKJRfs9PixmF+6Y9ICrN0f7fGXUnF0W8R327NF+F43onYq4ozs068rt2FJmsLY2V5Y1sNWclZqiPXtaR1vLiFGZWKwm15y1jRSW70VSVkBqrUqQKvsuoeWhQ4fK3X8JP2W5/v37K68zLS+Tyu/Zs0eVApDgXELfJ554QoWztpaenq5G1krgKdsxceJEVV9Was7K77LKttLhrDyXHF/70dGyjH04KyUP7Mt62kbOyuNS9vOpp55SZRKkyXkhpRHkTnO2mingUeGsPbFcaXLnbb4183Dr26sZE3/GBSWnZ2M/CDNy+6Zi2DXX6+ugupby0pqzy7+Zh4itdRCD01/gVgXFY8SkEdUlpa9fD6g5q29DHZf6c+JPaF5y+qpqgikNff7nvplNT22hl9ac3ThjLaJ2FcLv5DlaCDO+KknHDJP1B8/Oly5GsL8bLiR4ac3ZkmIztj0/H/XsfggfD4tH92fc/Jr34pqza974CS2On37NZ5pyEHB5DNoMcE/Qceo17+E1Z8t7j92/Lg758+MQYVci5lBUPs4Z5+b6qF5ac1acVz09B62KTwd0iaZM9HxxGHzdVA7k1LH3ggnByjpPf/7sfWw/nAGLyVo2REbLdogNw433a+tBOvs9wun1yqg5uynqTazdqq09Wq9bHvYkayeqdGfNWdnfi5/4Cbt8T5eF6mfJwA+vu/lzyYtrzs776AMc2XI62PYPOY7+V9dBt/OGOX16GbIiw1mnGV0ZzspGysjI8PBwNRo0MTFR1aCVP3I7u7tacvJi5OTuha9PMOpFDkB4mDEXb+zLGtjKOMjIURmcJ2GrhK4yslVGw8po00suuUSNqJXBAmeddZaq2yojaCXIFjcZlRoXF1fu8jK6dN26daocgYyUlQDWVtZg5cqVyMrKwtChQ1UJNKl9K+Uzn3vuOfUcMoL25ZdfRnR0tCpHINt15513VnhISoeztvIJEqrKxbmFCxdixowZp8LZqVOn4t9//1VlG2wTk9nXnJXyCjIaW0olyARnUgpCRhDXtDu3K4StRQt4bDhbi46BR+7qigVzcHhHKgKCgJvHjPSMbfTScNaGt/SLn1FUYEaHvh3Rulc395t6cTirAsP5y5ARn4rQBuHoeqO1Fo/bm5eGs+KWm56Lfav34bM1+/G7yRfZdnV+Gc46d2YlrPkTBWkZCG8ai/o93FuDTu2BF4ezsvlJew8jcVsc/IMC0Wn4AOcOitFreWk4a2PYuXQ7ivKKENOlEaJbn74oazST7v68OJxVn0vLN+PEwRSERIah51XWkT1ub14azopbduYJ/Ll0nirg2mfwxYhsEOt2TnhxOCt4y+cvQ2JKOlo2a4izLzxdF9FtsF4czqrPpfg4HNy2Gf4BAeg11EO+izKcdfp0dnU4K3cLP/bYY6dKH/Tt21dNSOWuGv9Ow+lY0RbOyqjPiAjrnSYyslUm+bKFs/KYjDKV0a62uSRk2bfeekvdaSQjUWVUq5QokLurJcQtb3kZUS8hptR5ldamTRtVSsJWc/bFF1889RytWrVSNWgbNWqEpKQkvPDCC2pSMFuTmq8SJFfUJFi1Hwktgw3l+Nru9JE7puROP9kfKeMpx1/C6BMnTqjnlgnhpA8Z9du7d2/17zIpmIzwlda+fXtVjkECfbaaKcBwtmYe15q5V14eznrcQfHycNbjPGWDvDiclc03F5egzdO/OtAynPXIs63yG+Xl4Wzld9gFa3h5OOsCoco9hZeHs5XbWRct7cXhrIuEKvc0Xh7OVm5nXbC0l4ezLhCq/FMwnK282ck1XB3O2jZUAsHQ0FCPnPzcacwqrCihZmpqqipZYhtla+tOSm9JmCkld2x3WZ9p+WPHjqlSmWXVAz5+/Lh6vPS/yXPl5+erkbvyPFJeUyYLKygoKHevJDCVUbhlNdkXKa0QGaktJ2RbVrZD9rO8Mp5yfkjt3NIWVSDmqh4qwHDWQw8MN6sMAYazxp4WDGeN9ZTeGM4aa+qlZQ2MRTCwN4azBmKe7IrhrLGmDGeN9ZTeGM4aa8pw1lhPhrPGekpvDGedNnVXOOv0BnNFlwl89913WLFiRbnPJ7Vh3TWPgMsQ+ETVLsBwttqJ+QSGCTCcNYxSdVQDwtk/96WWaXJOG+3EHMbCnaE3hrPGUjOcNdaT4ayxntIbw1ljTRnOGuvJcNZ4T4azxpoynDXWk+FslTz1hrNxoVcjro51kiZbK/YPwIZDuzWPyWjKcePGVWmbuDIFKFB7BBjO6jzWUjRaikmXNxxdZzdcrCoCDGeroue4bg0IZ2esPYhJ87Uzdl/bqwneusE9M3Zz5KyxpygYzhoLynDWWE+Gs8Z7Mpw13pQjZ401ZThrrCfDWVz6zx4H08+6tERMoL9z1hw565wbAL3hbEK9azF7562a5wltZMFByxqGs07rc0UKUIDhbAXnQG5uLiZMmKCKN0uTmfbefvttREVF8exxtUANCGcXbElwUGtcNxg9m9V1SjNz0aIy14sYPrzi/hjOVmxU2SU4crayYmdenuGssZ4MZ431ZDhrvCfDWeNNGc4aa8pw1lhPhrNovnIzCiwlGtf/BnRmOGvsmaarN4azupi4EAUoUE0CDGcrgJ0+fToWLlyIqVOnqmLRDz30EJo1a4aXXnqpmg4Juy1XoAaEsxe8vRL7krM1uzjngXOcDmcTX5qMtG++0fQX9eijaHD/fRWfSLUonN29ezeWLl2qMZHC+3fffXfFTmUsYS4pQbbZ4vAvdf/XELAUaR8fvx8Iqa95bMqUKZDi7/Zt5MiRaNy4sVPbY9RKnBDMKEkP7YfhrPEHhmUNjDWt5eFsanYBNsdbZ2W2b0M7NnTemeGs83Zlrclw1lhPhrMMZ409o6rUG8PZKvFxZQpQoIoCDGcrABwxYgTOP/98jBo1Si25aNEiNXJWgh7bDIFVPAZcXa8Aw1kHKYaz+soaSDgrhdztm1xkcTacLTDn4pM9fzgcj0d+up3hrN7Xs57lOHJWj5L+ZWpAOLv1aEaZ4dWt/ZtrHKQM0b59+xxsOnbs6PBY2nffOzwWNmgg/Bs1qtiW4WzFRpVZohaFs+np6UhI0N5N82+WGa+dMGvE/Ewm/HtRj8ooapetReFs4pt/o6RIe+G0/i0dEdAs3Cm/Z/YexZLUDM260xJmoOeWqZrHNkW9ibVbW2seq9ctD3uSN2oe69SpE2644QantqXGrsRwluGsB53cDGc96GBwUyhQCwUYzlZw0C+++GI8+uijkL+lbd++Xf3/Tz/9hDp16tTCU8aNu8xw1gGf4ayx4WzB3r3IWaOtFyXokXfdpbEvLs7DHyu7OByPoWsyak04KxepJACzb75XXI+wsDDNY/0WzEHzoADNYwEtWiBssHYihTLfWRjOOrBkLlwIc3Kyw+Olz9EyPWtIOHv5FO1rtHn9UKx84nzNLhdk5CLuvbUODJ2eu8Dhsd29z4IlJ0fzeJvlvzuEs4kFpUbFy3vDN1ci4PCf2j5v+g7ocInmsblz5+K///7TPCbfK/r37+/GD9WTT732A8dtiO0KtBykeXzWrFk4cOCA5rELLrgAvXv3dmofNmfl4kBugWbdZvsXoteSB7X9tbkAuPVnzWNHjx6F3Nlk3+rXr4+HH37YqW0xdKX/vgFy0xy7HPCQ5rHkzYeROk9ba3J/9TD5jQAAGFhJREFUdDDubR+qNQkKwF9nd3J+E2toOLv3nHNRYtYG2eFXvYPiDO1j0Q/0cDqcXbfzZaSm/qb9TEuqh+htv2seYzjr/OkJhrNlhrPr9/2DCD8fDWzowEEIbN1K89jf/9yA3Nw4zWNnx9WB/8F/NI8ti/gOe/YEaR6L6J2KuKM7NI8NHjwYgwZp3/urcHQ9ZtUvt39Z5rbc0fkOzeMMZz3mkHFDKFArBRjOnuGwl5SUYNiwYXjqqacgH1bSZCTO6NGj8eWXX6JRo0b46quvauWJY7/TFosFUpu3dCsd0lQV6tKjr6N+Qbz2y0bsg0gI7qB5LCkpCTmlfmg3aNAAERERVd2EKq8/Ja4uUgp8Nf2MapmBJsHaHxMNM0NhKjFplssKKkROYKHmsbCV82FGqYDMLxQ551gvJpyptc1ah7NTvtUscji0O/5oeK/msby8PIfRPYGBgW6/BV82cv2JIPyaqP0h26NuAa5ppC0dUS8rEB2PautEZwUXYmtzbcgVnJKCLtM/1ex/YXg4Nj+s/VFtMhWhUeNXHHgHr06DT0mx5vEfmr+KAl/tNsbHxzsEm1LSQFzd2YpLgBd2akswyPa8b1kNX5O2Hlpi3aYo8dH+cJjSoxeSArRf/me9+iSiDh3S7Nbe669Hets2mseCgnfDx6Q9v7sd/Rft0v7WLPdfvUuxpZ72/M7IyHAoEyEz5HpCbfA92f7IL9Y6dUjch1hzpma/AkKaoCRSW9ai0LcYJ8LytMvt2ACflKOax+SdIm/QNZrHfH0zERiodQ8vSMdFe2dplsv1rYOfmk/WPCaffaVDOFmgZcuWbr9j5Fi+Hz7Zr70wGhlQjEfbaG8F9y/2xXm7m2n2S8bTvXOWY2jWf9Fn0L7bAvk9BgJ1tO8ZW+tpA1zp/NGd09G41A/jFTGjEB/SVfPcKSkpkIlF7ZuEiZ5wkbdxQhm1y48FIj9Ieyt9UngMLP7a96g9UZEoigjR7NfAJb+izV/rNY8ln3UWjg4aqHksO2IfwsO0wXbjBD8MidOueyykI36LeUCzbkFBASSgtW/+/v5o2rSpO99C1XNHndiIgIJU7WvUBByJ0daCr5cTjJ6HYjTL/dvAglG9ted306x0TPrT8Rgd79zZYV9DQrY6PHb5jpkItGi/o81uNgnZftr3evEUV/sWGxuL4OBgt5uWtQE93nsf/qW+6/ld9z6CzdrPoL9bHkNmsHa/9O5Q3XoLERqq/QxquisK7ZJ3arpYbHkCcckDNI8VNTyEdJP2PVjKKTVsWIUSFXo3vILl4nL8kWPWfi7V8S9G8xDtd9EmJyLQKrmepre/Q3OwPkL7XlYvIxU9sg5r999chJQGkZrHcvwDcahFe81j9YpS8dzuxzSP5Zrq4ouELxz2IiVmlcNjzZs3h6+v9nu1QUwu6+apJl1hNmk/hRaPH4XAUp8ZW0eNQn4D7es2KvpzBARofxt1+jcMsdkHNdv/bcH7SEvTvj/mNdmObLO2xFa9evUgfzyxRe7aBVOx9jt2UJ22KA7XnmczG9XFqrra99F2qd8jIX+xZrd6oReGmoZqHgsJ2YJ6kXM0j9VJjMJZe7Sv+R2mIViRoL0YaAnLwPGwzZp15dyUc7R0u/322z2CeEtWLpYe134frWjDHm+h/dyqaHn+OwUooF+A4WwFVjKy5bHHHsNFF12kliw9cpbhrP6TjUtSgAIUoAAFKEABClCAAhSgAAVqq4CnhLO11Z/7TQFPFWA4W8GRkZqzMmpWJuuRxpqznnoqc7soQAEKUIACFKAABShAAQpQgAIUoAAFKOBdAgxnKzhe06ZNw6+//gr5OyQkBA8++CBkIqGXXnrJu440t5YCFKAABShAAQpQgAIUoAAFKEABClCAAhTwKAGGsxUcjuzsbIwfPx579+5VS0ZHR+Odd95Rf9f0JnUH5Y9PqbqSNX2/q2P/zGYzkpOTITUG3V1XtDr2zx19ymszLS1N1cYyur6xO/aHz0kBCugTkNd+ZmYmpB6mqVSdPn09cCkKVJ/AsWPHeG4ayHv8+HH1PdRT62AauKvV1lVxcbEyLOv9srCwUH2Xkt81fD/Vdwjkt5GY+vn5lbnCmbz1PUPtW6o8M/5+qn3nAveYArVZgOGszqMvE87IFxhPmGBG5yZXaTH54vH888+rPl588cUq9VXbV5ZR1z/++OMphq5du+K5555D3bp1azuNU/svk8/dddddOHHixKn1ZWZZmbiPFxKcItWs9Pbbb6vyLT///LNHTKJX9T1yfQ9ybt54440OTyx3XPTv39/1G1RDnvGPP/7AlClTVDAr7cMPP0S7du1qyN65djfk/XLjxo0OT3rPPffgpptucu3G1JBnk4li58yZA5kkVYKGIUOGYNy4cTVk71y/G0eOHMGECRPUhW1pMtnbG2+8oS5ys+kXkEldpb7lbbfdhiuuuOLUivI9/6OPPsLcuXPVYwEBAXj55ZfRo0cP/Z3X0iXnz5+PTz/9FPJ36Vaedy2l0rXb5Znx95MuPi5EAQrUIAGGszXoYBq1KxLMfPDBByqMPvvssxnOVhH2hx9+UDN1du/eHfHx8WqCuWuvvRZ33313FXuunavLqLkvvvgCV111FRo3bozVq1dj8uTJePXVV9G7d+/aiWLQXs+ePRsff/yx6o3hrPOoMtJLAq5nn31WlcGxNZml21NnPnd+b12z5ooVK/DKK6/gkksuUa99ubgVFBRETyf5U1JSkGM30738OB4zZowKE2UiVLbKCWzbtk19tstnUb9+/bB//37cd999Kkxk2FU5S9vSkyZNQlJSEuRvCQ4feugh9V1K3gfY9AnI+bd06VK18MMPP6wJZzdt2qTuDJTvTt26dcN7772HVatWYd68eRxBWw7voUOH8Mgjj6j3TvksLx3Onslb3xGrfUudyYy/n2rf+cA9pkBtF2A4W9vPgDL2X0YmysgkKd8gt+Bz5KyxJ4kENomJiZg+fbqxHdfS3vbt24fRo0erESBt27atpQpV3+2//vpLjeiWgEZe+wxnnTe1hbMy6qNly5bOd8Q1lYCM8JKwWywlSGAzXuDzzz9XQcNPP/1U7q26xj9rzelx/fr16mKMfK63aNFC7dill16qAlr70Yo1Z4+rd0/kO6hcxH766adx/vnnqyf7/fff1etfwkbefq/PX8oVFBQUYNSoUbj33ns15+Kbb76JPXv2qDk1pMkI5VtuuQXvvvsuOnfurO8JatlScot9amoqfvvtN8yaNcshnD2Tdy2j0r27lTHj7yfdrFyQAhTwUgGGs1564Fyx2RLKyhcRhrPGaYvnNddcg4EDB+Lxxx83ruNa2JOMQpYvx2vXrlU/3mRUCJtzAgcPHsT999+PZ555BjK684EHHmA46xylWssWznbo0AF16tRRFw1ktKf8N1vlBWxlIsRT3kPz8/PVKHkJG2T0LFvVBKRsk5ThkBFhw4cPr1pntXRtudNIgtiEhATcfPPNamTdypUrVVgbERFRS1Wc3225Q+bqq69Wgbd8X5K2c+dOdfHw+++/Z2mDStLK54/crWV/oeCJJ55Qn0nyuW9rF154oSoRNXjw4Eo+Q+1aXCaK/uSTT8osayASZXnXLqHK721FZvz9VHlTrkEBCnifAMNZ7ztmLttihrPGU8vIRBmh+NVXX9WKSeWMFzzd4/bt29UPX5msr2fPnqpGsr+/f3U+ZY3sOz09HXfeeSeuv/56NWpGPBnOVu1QS7Ago4+kRrn89/Lly9WkdV9//bW6PZetcgI7duxQweE555yjSu3IqLrPPvtM1e+VW57ZqiYgI+Vl5KeEXhyR6LyljEBctmyZeo3LKEQJuuW89fX1db7TWrymfA5J3Vn5fJKJl2TkrLwXMJyt/ElRVvAlFxPkwqH9QAEpaSLlIy677LLKP0ktWoPhrPEHu6Jwlr+fjDdnjxSggOcJMJz1vGPiMVvEcNbYQyF1fKWWl0y4JJOCsRkjYBv1JSM/5csdW+UEpMa0nJNDhw5VwYzcYvbPP//gvPPOU7eV8vbGynmWtfSBAwfUbaVyG6nUnmarnIAtnJX6c5GRkWpluf1eJmSR85eBYuU87ZeWEjsyUZD97ePO91Z715RanTLhn60czJo1a1T92TvuuEONpGWrvEBWVpa6ACv1fENDQ9WoeSljxLIGlbcsb+Ss1O6W176tceSsPluGs/qcKrPUmcJZ/n6qjCSXpQAFvFmA4aw3H71q3naGs8YAS71EKXgvo+feeusthl3GsGp6kRDxoosuUgEYW+UE5MeujEiyNamn9scff6iRM1IzsU2bNpXrkEs7CNhu0ZXwRkZ7slVOQC7AXHfddZpwW0bPyehZBjWVsyy9tIw8jouLU6O62ZwXkNHHUmLnxx9/PNWJjEAMCQnB66+/7nzHXPOUwMiRI1UZkylTplClkgJlBV9ysVDulJk6darqTSZfu/XWW1lzVoctw1kdSJVcpKxzlL+fKonIxSlAAa8XYDjr9YfQ+B2wWCwoLi5Wo0Dkb/nxJreUcXSSc9ZSz2vDhg2qdlqrVq1OdRITE8OJV5wglRmGZSSdjPCQUR+//PKLqv0lMzj36dPHiR65ir0AyxpU/XyQcDsvLw8DBgxQpTakxIGMrJORn6w765yvTPonn00SgskFhIkTJ6qyEWLL5pzA/v37VZ1UGeHZr18/5zrhWkpgwYIFarZ7+byXGqlSE/2ee+5Ro2al1idb5QXkopY0+R4qk9VJOSjeeVQ5R7GT900pWySjuOWiq63807///osJEyaoSdbkjg55b129erW6w4vf98t2lrBQRnBLOCsXB2WkvI+Pz6nSJWfyrtyRqz1Ln8mMv59qz3nAPaUABawCDGd5JjgI2EYk2f+D/ICTkUtslReQq8EyOUjpZj+rc+V7rb1rbNmyRQUzMgGLrcloD/nhwVZ1AYazVTeU0ZwSIsiPDmlSg1JuHZWwls05AQm7JEhISUlRHbRo0UJdkJGAls05gbFjx6qayLbZ2p3rhWuJgIQ2H3/8sRrJLRPWyWt+yJAhqn6nXNxmq7yAlIZ44YUX1IpyIVY+93v16lX5jmrxGuPGjYN8Z7Jv8npv2bKlOmfff/99dWFBmtRGlvdUGpd/wti+H9kvIZNTSsAt7Uzetfg0POOun8mMv5941lCAArVNgOFsbTvi3F8K1AAB+VEhtVEl9I6NjeWP3xpwTGvaLsjomuPHj6vdio6O5kgkgw6wTLQkYZet9qxB3bIbChgmcOzYMfW5xNGHVSOV99CEhATUr19flYdgqx4BuZhw4sQJnrPVw8teKUABClCAAroFGM7qpuKCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWME2A4a5wle6IABShAAQpQgAIUoAAFKEABClCAAhSgAAUooFuA4axuKi5IAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUMA4AYazxlmyJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACugUYzuqm4oIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABYwTYDhrnCV7ogAFKEABClCAAhSgAAUoQAEKUIACFKAABSigW4DhrG4qLkgBClCAAhSgAAUoQAEKUIACFKAABShAAQpQwDgBhrPGWbInClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6BRjO6qbighSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFjBNgOGucJXuiAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKKBbgOGsbiouSAEKUIACFKAABShAAQpQgAIUoAAFKEABClDAOAGGs8ZZsicKUIACFKAABShAAQpQgAIUoAAFKEABClCAAroFGM7qpuKCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWME2A4a5wle6IABShAAQpQgAIUoAAFKEABClCAAhSgAAUooFuA4axuKi5IAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUMA4AYazxlmyJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACugUYzuqm4oIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABYwTYDhrnCV7ogAFKEABClCAAhSgAAUoQAEKUIACFKAABSigW4DhrG4qLkgBClCAAhSgAAUoQAEKUIACFKAABShAAQpQwDgBhrPGWbInClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6BRjO6qbighSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFjBNgOGucJXuiAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKKBbgOGsbiouSAEKUIACFKAABShAAQpQgAIUoAAFKEABClDAOAGGs8ZZsicKUIACFKAABShAAQpQgAIUoAAFKEABClCAAroFGM7qpuKCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWME2A4a5wle6IABShAAQpQgAIUoAAFKEABClCAAhSgAAUooFuA4axuKi5IAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUMA4AYazxlmyJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACugUYzuqm4oIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABYwTYDhrnCV7ogAFKEABClCAAhSgAAUoQAEKUIACFKAABSigW4DhrG4qLkgBClCAAhSgAAUoQAEKUIACFKAABShAAQpQwDgBhrPGWbInClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6BRjO6qbighSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFjBNgOGucJXuiAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKKBbgOGsbiouSAEKUIACFKAABShAAQpQgAIUoAAFKEABClDAOAGGs8ZZsicKUIACFKAABShAAQpQgAIUoAAFKEABClCAAroFGM7qpuKCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWME2A4a5wle6IABShAAQpQgAIUoAAFKEABClCAAhSgAAUooFuA4axuKi5IAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUMA4AYazxlmyJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACugUYzuqm4oIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABYwTYDhrnCV7ogAFKEABClCAAhSgAAUoQAEKUIACFKAABSigW4DhrG4qLkgBClCAAhSgAAUoQAEKUIACFKAABShAAQpQwDgBhrPGWbInClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6BRjO6qbighSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFjBNgOGucJXuiAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKKBbgOGsbiouSAEKUIACFKAABShAAQpQgAIUoAAFKEABClDAOAGGs8ZZsicKUIACFKAABShAAQpQgAIUoAAFKEABClCAAroFGM7qpuKCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWME2A4a5wle6IABShAAQpQgAIUoAAFKEABClCAAhSgAAUooFuA4axuKi5IAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUMA4AYazxlmyJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACugUYzuqm4oIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABYwTYDhrnCV7ogAFKEABClCAAhSgAAUoQAEKUIACFKAABSigW4DhrG4qLkgBClCAAhSgAAUoQAEKUIACFKAABShAAQpQwDgBhrPGWbInClCAAhSgAAUoQAEKUIACFKAABShAAQpQgAK6BRjO6qbighSgAAUoQAEKUIACFKAABShAAQpQgAIUoAAFjBNgOGucJXuiAAUoQAEKUIACFKAABShAAQpQgAIUoAAFKKBbgOGsbiouSAEKUIACFKAABShAAQpQgAIUoAAFKEABClDAOAGGs8ZZsicKUIACFKAABShAAQpQgAIUoAAFKEABClCAAroFGM7qpuKCFKAABShAAQpQgAIUoAAFKEABClCAAhSgAAWME2A4a5wle6IABShAAQpQgAIUoAAFKEABClCAAhSgAAUooFuA4axuKi5IAQpQgAIUoAAFKEABClCAAhSgAAUoQAEKUMA4AYazxlmyJwpQgAIUoAAFKEABClCAAhSgAAUoQAEKUIACugUYzuqm4oIUoAAFKEABClCAAhSgAAUoQAEKUIACFKAABYwTYDhrnCV7ogAFKEABClCAAhSgAAUoQAEKUIACFKAABSigW+D/+jAUM7jZ4tQAAAAASUVORK5CYII=" 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" }, - "execution_count": 15, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -17408,14 +15507,14 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "https://oss.x-lab.info/open_digger/assets/working_hour_distribution.svg?data=[0,1,1,1,10,2,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,2,0,1,1,1,1,1,1,0,2,2,1,0,1,0,0,0,0,0,0,0,0,2,1,2,1,2,2,4,3,2,1,0,1,1,3,0,0,0,0,0,0,0,0,0,0,2,2,2,1,1,1,1,1,1,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,1,2,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,2,1,0,1,0,0,1,1,2,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,2,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0]\n" + "https://oss.x-lab.info/open_digger/assets/working_hour_distribution.svg?data=[0,1,1,1,10,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,1,2,0,1,1,1,1,1,1,0,2,2,1,0,1,0,0,0,0,0,0,0,0,2,1,1,1,2,2,4,3,2,1,0,1,1,3,0,0,0,0,0,0,0,0,0,0,2,2,2,1,1,1,1,1,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,2,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,1,1,2,1,0,0,0,0,1,0,2,1,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,2,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0]\n" ] }, { @@ -17466,7 +15565,7 @@ 1, 1, 10, - 2, + 1, 1, 1, 1, @@ -17516,7 +15615,7 @@ 0, 2, 1, - 2, + 1, 1, 2, 2, @@ -17550,7 +15649,7 @@ 1, 1, 1, - 1, + 0, 0, 0, 1, @@ -17597,11 +15696,11 @@ 2, 1, 0, - 1, + 0, 0, 0, 1, - 1, + 0, 2, 1, 1, @@ -17626,7 +15725,7 @@ 0, 0, 2, - 1, + 0, 1, 0, 1, @@ -17668,9 +15767,9 @@ } } }, - "image/png": 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" }, - "execution_count": 4, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -17679,7 +15778,7 @@ "var startYear = 2022, startMonth = 1, endYear = 2022, endMonth = 12, x = [];\n", "for (let y = startMonth; y <= endMonth; y++) x.push(`${y}`);\n", "openDigger.metric.chaoss.repoActiveDatesAndTimes({\n", - " repoIds: [288431943], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year', options: { normalize: 10 }\n", + " idOrNames: [{ platform: 'GitHub', repoIds: [288431943] }], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year', options: { normalize: 10 }\n", "}).then(data => {\n", " console.log(`https://oss.x-lab.info/open_digger/assets/working_hour_distribution.svg?data=${JSON.stringify(data[0].count[0])}`);\n", " openDigger.render.plotly([{\n", @@ -17693,14 +15792,14 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "https://oss.x-lab.info/open_digger/assets/working_hour_distribution.svg?data=[1,2,1,2,0,1,1,2,2,3,1,2,1,1,1,0,0,0,0,0,0,0,0,0,1,2,2,4,0,2,3,2,4,5,10,3,3,5,1,2,4,0,0,0,0,0,0,1,1,3,4,2,2,3,4,4,4,2,2,3,2,1,3,0,0,0,0,0,0,0,0,0,2,5,4,5,2,1,2,2,2,4,3,2,1,1,2,1,0,0,0,0,0,0,0,1,0,2,4,1,2,2,4,3,3,3,1,2,1,1,2,0,0,0,0,0,0,0,0,0,0,2,4,5,1,1,1,1,0,3,1,2,1,2,1,0,0,0,0,0,0,0,0,0,1,2,0,1,2,2,1,0,3,2,3,1,2,0,1,1,1,0,0,0,0,0,0,0]\n" + "https://oss.x-lab.info/open_digger/assets/working_hour_distribution.svg?data=[1,2,1,2,0,1,1,2,2,3,1,2,1,1,1,0,0,0,0,0,0,0,0,0,1,2,2,4,0,2,3,2,4,5,10,3,3,5,1,2,4,0,0,0,0,0,0,1,1,3,4,2,2,3,4,4,4,2,2,3,2,1,3,0,0,0,0,0,0,0,0,0,2,5,5,5,2,1,2,3,2,4,3,2,1,2,2,1,0,0,0,0,0,0,0,1,0,2,4,1,2,2,4,3,3,3,1,2,1,1,2,0,0,0,0,0,0,0,0,0,0,2,5,6,2,1,1,1,0,3,1,2,1,2,1,0,0,0,0,0,0,0,0,0,1,2,0,1,2,2,1,0,3,2,3,1,2,0,1,1,1,0,0,0,0,0,0,0]\n" ] } ], @@ -17709,7 +15808,7 @@ "var startYear = 2022, startMonth = 1, endYear = 2022, endMonth = 12, x = [];\n", "for (let y = startMonth; y <= endMonth; y++) x.push(`${y}`);\n", "openDigger.metric.chaoss.userActiveDatesAndTimes({\n", - " userIds: [8512426], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year', options: { normalize: 10 }\n", + " idOrNames: [{ platform: 'GitHub', userIds: [8512426] }], startYear, startMonth, endYear, endMonth, groupTimeRange: 'year', options: { normalize: 10 }\n", "}).then(data => {\n", " console.log(`https://oss.x-lab.info/open_digger/assets/working_hour_distribution.svg?data=${JSON.stringify(data[0].count[0])}`);\n", "});" @@ -17733,52 +15832,57 @@ "name": "stdout", "output_type": "stream", "text": [ - "┌─────────┬─────────────┬──────────────────┬───────────┐\n", - "│ (index) │ id │ name │ time_zone │\n", - "├─────────┼─────────────┼──────────────────┼───────────┤\n", - "│ 0 │ '37958710' │ '19883235' │ [ '2' ] │\n", - "│ 1 │ '62591087' │ 'wangleo61' │ [ '11' ] │\n", - "│ 2 │ '44364729' │ 'kongzhongsanbu' │ [ '5' ] │\n", - "│ 3 │ '61407528' │ 'wengzhenjie' │ [ '8' ] │\n", - "│ 4 │ '37795442' │ 'xgdyp' │ [ '7' ] │\n", - "│ 5 │ '50283262' │ 'andyhuang18' │ [ '6' ] │\n", - "│ 6 │ '5781345' │ 'tvbboy' │ [ '4' ] │\n", - "│ 7 │ '57035291' │ 'lucky-xmyu' │ [ '5' ] │\n", - "│ 8 │ '20661689' │ 'soobun' │ [ '7' ] │\n", - "│ 9 │ '41559368' │ 'lijinlus' │ [ '9' ] │\n", - "│ 10 │ '39271899' │ 'wxharry' │ [ '-6' ] │\n", - "│ 11 │ '104072573' │ 'lhbvvvvv' │ [ '6' ] │\n", - "│ 12 │ '8512426' │ 'frank-zsy' │ [ '8' ] │\n", - "│ 13 │ '91596325' │ 'blackburnnnn' │ [ '8' ] │\n", - "│ 14 │ '39040502' │ 'JingbenShi668' │ [ '2' ] │\n", - "│ 15 │ '15010826' │ 'will-ww' │ [ '10' ] │\n", - "│ 16 │ '59213474' │ 'zhuxiangning' │ [ '5' ] │\n", - "│ 17 │ '32434520' │ 'tyn1998' │ [ '8' ] │\n", - "│ 18 │ '15813364' │ 'bifenglin' │ [ '7' ] │\n", - "│ 19 │ '37684061' │ 'gymgym1212' │ [ '8' ] │\n", - "│ 20 │ '29674550' │ 'PureNatural' │ [ '7' ] │\n", - "│ 21 │ '31360564' │ 'AliceCodeZhang' │ [ '8' ] │\n", - "│ 22 │ '90825536' │ 'foursevenlove' │ [ '8' ] │\n", - "│ 23 │ '56542972' │ 'xiaoya-yaya' │ [ '5' ] │\n", - "│ 24 │ '65549549' │ 'Kx-Chen-99' │ [ '7' ] │\n", - "│ 25 │ '91717658' │ 'longyanz' │ [ '7' ] │\n", - "│ 26 │ '29705275' │ 'yoyo-wu98' │ [ '4' ] │\n", - "│ 27 │ '62098023' │ 'wj23027' │ [ '6' ] │\n", - "│ 28 │ '40617667' │ 'birdflyi' │ [ '5' ] │\n", - "│ 29 │ '2922845' │ 'chunchill' │ [ '2' ] │\n", - "│ 30 │ '115639837' │ 'Zzzzzhuzhiwei' │ [ '6' ] │\n", - "│ 31 │ '66980876' │ 'Best-Eminem' │ [ '7' ] │\n", - "│ 32 │ '39022409' │ 'zhicheng-ning' │ [ '7' ] │\n", - "│ 33 │ '36123793' │ 'betaberry' │ [ '5' ] │\n", - "└─────────┴─────────────┴──────────────────┴───────────┘\n" + "┌─────────┬─────────────┬──────────┬──────────────────┬───────────┐\n", + "│ (index) │ id │ platform │ name │ time_zone │\n", + "├─────────┼─────────────┼──────────┼──────────────────┼───────────┤\n", + "│ 0 │ '32434520' │ 'GitHub' │ 'tyn1998' │ [ '8' ] │\n", + "│ 1 │ '37958710' │ 'GitHub' │ '19883235' │ [ '2' ] │\n", + "│ 2 │ '39022409' │ 'GitHub' │ 'zhicheng-ning' │ [ '7' ] │\n", + "│ 3 │ '40617667' │ 'GitHub' │ 'birdflyi' │ [ '5' ] │\n", + "│ 4 │ '66980876' │ 'GitHub' │ 'Best-Eminem' │ [ '7' ] │\n", + "│ 5 │ '84566503' │ 'GitHub' │ 'Miaheeee' │ [ '7' ] │\n", + "│ 6 │ '65549549' │ 'GitHub' │ 'Kx-Chen-99' │ [ '7' ] │\n", + "│ 7 │ '8512426' │ 'GitHub' │ 'frank-zsy' │ [ '8' ] │\n", + "│ 8 │ '91596325' │ 'GitHub' │ 'blackburnnnn' │ [ '8' ] │\n", + "│ 9 │ '39271899' │ 'GitHub' │ 'wxharry' │ [ '-6' ] │\n", + "│ 10 │ '37684061' │ 'GitHub' │ 'gymgym1212' │ [ '8' ] │\n", + "│ 11 │ '91717658' │ 'GitHub' │ 'longyanz' │ [ '7' ] │\n", + "│ 12 │ '2922845' │ 'GitHub' │ 'chunchill' │ [ '2' ] │\n", + "│ 13 │ '62098023' │ 'GitHub' │ 'wj23027' │ [ '6' ] │\n", + "│ 14 │ '15010826' │ 'GitHub' │ 'will-ww' │ [ '10' ] │\n", + "│ 15 │ '16789827' │ 'GitHub' │ 'Dlimeng' │ [ '8' ] │\n", + "│ 16 │ '5781345' │ 'GitHub' │ 'tvbboy' │ [ '4' ] │\n", + "│ 17 │ '29674550' │ 'GitHub' │ 'PureNatural' │ [ '7' ] │\n", + "│ 18 │ '82229350' │ 'GitHub' │ 'tengta' │ [ '-3' ] │\n", + "│ 19 │ '57035291' │ 'GitHub' │ 'lucky-xmyu' │ [ '5' ] │\n", + "│ 20 │ '40034603' │ 'GitHub' │ 'TieWay59' │ [ '6' ] │\n", + "│ 21 │ '37795442' │ 'GitHub' │ 'xgdyp' │ [ '7' ] │\n", + "│ 22 │ '31360564' │ 'GitHub' │ 'AliceCodeZhang' │ [ '8' ] │\n", + "│ 23 │ '90825536' │ 'GitHub' │ 'foursevenlove' │ [ '8' ] │\n", + "│ 24 │ '59213474' │ 'GitHub' │ 'zhuxiangning' │ [ '5' ] │\n", + "│ 25 │ '56542972' │ 'GitHub' │ 'xiaoya-yaya' │ [ '5' ] │\n", + "│ 26 │ '50283262' │ 'GitHub' │ 'andyhuang18' │ [ '6' ] │\n", + "│ 27 │ '61407528' │ 'GitHub' │ 'wengzhenjie' │ [ '8' ] │\n", + "│ 28 │ '115639837' │ 'GitHub' │ 'Zzzzzhuzhiwei' │ [ '6' ] │\n", + "│ 29 │ '90242019' │ 'GitHub' │ 'Bruce-Jay' │ [ '7' ] │\n", + "│ 30 │ '34496563' │ 'GitHub' │ 'Nliver' │ [ '3' ] │\n", + "│ 31 │ '44364729' │ 'GitHub' │ 'kongzhongsanbu' │ [ '5' ] │\n", + "│ 32 │ '29705275' │ 'GitHub' │ 'yoyo-wu98' │ [ '4' ] │\n", + "│ 33 │ '41559368' │ 'GitHub' │ 'lijinlus' │ [ '9' ] │\n", + "│ 34 │ '62591087' │ 'GitHub' │ 'wangleo61' │ [ '11' ] │\n", + "│ 35 │ '104072573' │ 'GitHub' │ 'lhbvvvvv' │ [ '6' ] │\n", + "│ 36 │ '36123793' │ 'GitHub' │ 'betaberry' │ [ '5' ] │\n", + "│ 37 │ '39040502' │ 'GitHub' │ 'JingbenShi668' │ [ '2' ] │\n", + "│ 38 │ '15813364' │ 'GitHub' │ 'bifenglin' │ [ '7' ] │\n", + "│ 39 │ '20661689' │ 'GitHub' │ 'soobun' │ [ '8' ] │\n", + "└─────────┴─────────────┴──────────┴──────────────────┴───────────┘\n" ] } ], "source": [ "var startYear = 2022, startMonth = 1, endYear = 2022, endMonth = 12;\n", - "var xlabLabelData = openDigger.label.getGitHubData([':communities/xlab']);\n", "openDigger.metric.xlab.userEquivalentTimeZone({\n", - " userIds: xlabLabelData.githubUsers,\n", + " labelUnion: [':communities/xlab'],\n", " startYear, endYear, startMonth, endMonth,\n", " groupTimeRange: 'year', limit: -1\n", "}).then(console.table);" @@ -17810,7 +15914,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 3, "metadata": {}, "outputs": [ { @@ -17818,13 +15922,13 @@ "output_type": "stream", "text": [ "[\n", - " { count: '206267684', year: 2015 },\n", - " { count: '311725416', year: 2016 },\n", - " { count: '408625079', year: 2017 },\n", - " { count: '474568776', year: 2018 },\n", - " { count: '599127116', year: 2019 },\n", - " { count: '855440472', year: 2020 },\n", - " { count: '977130719', year: 2021 }\n", + " { count: '212320260', year: 2015 },\n", + " { count: '320823944', year: 2016 },\n", + " { count: '413064221', year: 2017 },\n", + " { count: '479878896', year: 2018 },\n", + " { count: '606407740', year: 2019 },\n", + " { count: '873592350', year: 2020 },\n", + " { count: '1023302049', year: 2021 }\n", "]\n" ] }, @@ -17836,13 +15940,13 @@ "mode": "lines+markers", "name": "log_count", "y": [ - "206267684", - "311725416", - "408625079", - "474568776", - "599127116", - "855440472", - "977130719" + "212320260", + "320823944", + "413064221", + "479878896", + "606407740", + "873592350", + "1023302049" ] } ], @@ -17854,23 +15958,23 @@ "xaxis": { "autorange": true, "range": [ - 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" 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" }, - "execution_count": 19, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -17879,7 +15983,7 @@ "var startYear = 2015, endYear = 2021;\n", "var years = [];\n", "for (var y = startYear; y <= endYear; y++) years.push(y);\n", - "openDigger.driver.clickhouse.query(`SELECT COUNT() AS count, toYear(created_at) AS year FROM gh_events WHERE year >= ${startYear} AND year <= ${endYear} GROUP BY year ORDER BY year`, { format: 'JSONEachRow' } ).then(data => {\n", + "openDigger.driver.clickhouse.query(`SELECT COUNT() AS count, toYear(created_at) AS year FROM events WHERE year >= ${startYear} AND year <= ${endYear} GROUP BY year ORDER BY year`, { format: 'JSONEachRow' } ).then(data => {\n", " console.log(data); // log the result to console\n", " openDigger.render.plotly([\n", " {y: data.map(d => d.count), mode: 'lines+markers', name: 'log_count'}\n", @@ -17958,8 +16062,8 @@ "xaxis": { "autorange": true, "range": [ - -0.6499364675984752, - 11.649936467598476 + -0.6540624121450662, + 11.654062412145066 ] }, "yaxis": { @@ -17972,7 +16076,7 @@ } } }, - "image/png": 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dtbVK6HagujXl3VRA3th921iND1RH6+u64l/HrN8f+oKH1QrIOqe269H2OaHbpEmTzKr50BddQr+uLzioka4e1xdNtN9+YxsBeaRVYj8EEEAAAQQQQCDxAgTkia8BI0AAAQQQQAABBBoIaAi3bt06E6Dqgzgb26xAV3tx33333WaXpsLk999/3+yjPap1NbkVwDdFP27cOLnjjjuaDMj1OD1HTU1NsG2KFZDXP6eudNa+zxqch24a5P7mN78JtgYJ/drEiRNNwN3cnKyVwKEPSrQCcjXRFfbHHXec/OpXv4roDrP6voc+pNE6UO3U8G9/+5vpYd7SgFwDavXUntj1t1gG5NoeRtvE/OlPf5IRI0ZIpNdtKiDXseo9o/3I9bwaMkdat6bQWxKQN1bjSIr57LPPmndfaLCvH7WFj7XpPTd37tywFi/W16xe+VY7m9Br6Qsa+i4EfcFn6tSpctFFFzU5FALySKrEPggggAACCCCAgDMECMidUQdGgQACCCCAAAIIhAlYwWDoAzjrE1mBrq561WBYt6YCcn0Qp67gtvpwa29kbSXRVNsRfSClro5tagW5XqupgFyP09W11dXVoiuadXW4tnLRYNLaNGzU3um6aRiuX9dezrp6V3s3RxKQq40Gu40F5NZ1NHyeMWNG8MGgzd1muopbW4qE9lW39tcHZWpoagXPLQ3IrRXogwcPlnPPPVf69u1rQlt9KKa+QyBWK8itgPy+++4zq/gjvW6kAbmGw5HWrSnrlgTkjdX4QH9V6Dsl9J0RGo7rKnGrl711nPY+f+ONN8z3g/blD930+6Jjx44NVstrf/drrrnGvFCgD0HVF1Ga2wjID1Qlvo4AAggggAACCDhHgIDcObVgJAgggAACCCCAQFDACmv1QZHaK7yxTXuM60MtdYW0rpTWramA3Ap0rd7iVnD66quvBh8y2dg1ognI9XwahOtKW2238qMf/cj0RdfNCuxPP/1004fb2jRM1weORhuQaysZ7fGt19HgXR+Q2aFDh2bvMO1LrS9MaICtwX7oZrXl0L7j2qe7JQG5hqq6CluP0+NDN+15HcuA3BqnFbhHet2mAnJ9h4DWqHPnzqIPvGxJ3ZrCtjMg11Yq+m6FLl26mIeqhvZ8t8ZjBegXX3yxeYHC2rRljN6r+uKFvqhibdrDXMNxbXkUeg83dzMRkPOXOQIIIIAAAggg4B4BAnL31IqRIoAAAggggICPBLT3s67U1WC5/opm7f+trVc06NMAUB9qafVXbiwg15Bbg0A9l9Wv21pFqytmf/7zn4fJalCowfbw4cOjWkFunfS7774z/cx10wdAHnvssWbFtK7WPuuss0z4aG3aO1wfnhhtQK7tQNRJ27R89dVXoi806OpqfdhoU5v2QNf+29oKRsNgK1DXFyE02NfP6wsKat2SgFxbkmjgrn3Y9Thrs14MiFWLFW3Jo6150tPTTV/4lly3qYBcV1rrvTJhwgS59dZbW1S3ppztCMj13RDaBkfnoc56D3Xt2rXRIVhBuO6n7Vese8J6IGloH3YNuvXBp9pzvLF3FjQ1RwJyH/1lzVQRQAABBBBAwPUCBOSuLyETQAABBBBAAAGvClh9w3V+w4YNk8MPP9z0/J43b56sXr3aBHva+kNbaVibBuT6AEht5TFy5EipqKgwDxzU1a/nnHOOeTinbhqa6+piDf70QYW6Ar2qqsqsuv7888/NSlrtsxztCnJrXLNnz5bf//735o/a9kIDTQ0cdQ5HH320eaCkXldDXd1iEZBrkK3z03Bew2gN5jWgb26zXjjQ8WjrGjXRB17qiwu6Ovu0004zh7ckINdzaDsaHYvWUHuY6zwXLFhgztXagFzt1Enrpy1A9IGueo1bbrlF9EGjLbmuFZBrWxJdMa7z1xc29N7RzVo5v2zZsojr1pSzHQG53jv67gjdtP98/X73+nl9kWjAgAFmH733dC5Dhgwx976uEp85c6a5H/WFJytc1xZE+r2mLvXbseh5evToYXr6W5t6aS2KiopMz3Z998IJJ5xgvqytWbR9CxsCCCCAAAIIIICAswQIyJ1VD0aDAAIIIIAAAgiECaxatcr089bVwaGbhqLaWqV+f2UrINcWE9ovWjcN/XQ1uraUsFaa6+c1SNde1V988UXYubXFhK7q1oc8NheQa4CsQfcrr7xijrdWLI8dO1a0d3T97aGHHjIrszW81MBVVydrr2hr08+fcsop5nwnnXSSWbmrW1NtY373u9/Jhx9+GNaDXFdq6zisB0rq8aWlpSbE1FYn6qAtXJratG+6tumw5mT56Xl1tbu1ad9zXbmvtdGe6wfaNMDVHuwaYFubnk8NMjIyGvQg1xY4Om/drHY41oMjrZrow0/VX39ZW/1VzpFe95NPPpHbb7/drD7XPvDWpsGwzlHfTWBtVouSA9WtKZMHHnjArMTXoFwD6pbWuLHz6j1sPdS1qetq+5zx48ebL+sLHvr9E/rQVJ37H/7wBxk4cGDwFFZA3tQ59YUEfQHF2qxaNba/vmtCXwxhQwABBBBAAAEEEHCWAAG5s+rBaBBAAAEEEEAAgUYFdDVwYWGhJCUlSZ8+fSQ5ObnR/ULDZA2EdeV47969w4Lx+gdqwKptJ/SjBn7xXOWqYayG/506dTK9n0MD/ETeCpa3Oqu3uke76Wp+raFuurK4sVXOLb2GdU4dn/o1dl+09LpaE11RrX3Hm7p3nFq3lvppUK7vLsjOzpacnJyWHs7+CCCAAAIIIIAAAh4QICD3QBGZAgIIIIAAAgggYAk0tdoaIQQQQAABBBBAAAEEEEAAgYYCBOTcFQgggAACCCCAgIcECMg9VEymggACCCCAAAIIIIAAArYLEJDbTswFEEAAAQQQQACB+Am89957pq3KmWeeGb+LciUEEEAAAQQQQAABBBBAwKUCBOQuLRzDRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhOgIA8Oj+ORgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHCpAAG5SwvHsBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSiEyAgj86PoxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRcKkBA7tLCMWwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB6AQIyKPz42gEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABlwoQkLu0cAwbAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIDoBAvLo/DgaAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwKUCBOQuLRzDRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhOgIA8Oj+ORgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHCpAAG5SwvHsBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSiEyAgj86PoxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRcKkBA7tLCMWwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB6AQIyKPz42gEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABlwoQkLu0cAwbAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIDoBAvLo/DgaAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwKUCBOQuLRzDRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhOgIA8Oj+ORgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHCpAAG5SwvHsBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSiEyAgj86PoxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRcKkBA7tLCMWwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB6AQIyKPz42gEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABlwoQkLu0cAwbAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIDoBAvLo/DgaAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwKUCBOQuLRzDRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhOgIA8Oj+ORgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHCpAAG5SwvHsBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSiEyAgj86PoxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRcKkBA7tLCMWwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB6AQIyKPz42gEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABlwoQkLu0cAwbAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIDoBAvLo/DgaAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwKUCBOQuLRzDRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhOgIA8Oj+ORgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHCpAAG5SwvHsBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSiEyAgj86PoxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRcKkBA7tLCMWwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB6AQIyKPz42gEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABlwoQkLu0cAwbAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAIDoBAvLo/DgaAQQQQAABBBBAAAEEEEAAAQQQQAABBBBAwKUCBOQuLRzDRgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEIhOgIA8Oj+ORgABBBBAAAEEEEAAAQQQQAABBBBAAAEEEHCpAAG5SwvHsBFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQSiEyAgj86PoxFAAAEEEEAAAQQQQAABBBBAAAEEEEAAAQRcKkBA7tLCMWwEEEAAAQQQQAABBBBAAAEEEEAAAQQQQACB6AQIyKPz42gEEEAAAQQQQAABBBBAAAEEEEAAAQQQQAABlwoQkLu0cE4e9g033CDTpk2TESNGOHmYjA0BVwnU1NRIaWmpZGRkuGrcDBYBpwvs3btXamtrJSUlxelDZXwIuEpg165dkpqaKm3btnXVuBksAk4W2Ldvn+zevVvS09OdPEzGhoDrBMrLy82/Vx06dHDd2BkwAgjERoCAPDaOnCVEgICc2wGB2AsQkMfelDMioAIE5NwHCNgjQEBujytn9bcAAbm/68/s7RMgILfPljMj4BYBAnK3VMpF4yQgd1GxGKprBAjIXVMqBuoyAQJylxWM4bpGgIDcNaVioC4SICB3UbEYqqsECMhdVS4Gi4AtAgTktrD6+6QE5P6uP7O3R4CA3B5XzooAATn3AAL2CBCQ2+PKWf0tQEDu7/oze/sECMjts+XMCLhFgIDcLZVy0TgJyF1ULIbqGgECcteUioG6TICA3GUFY7iuESAgd02pGKiLBAjIXVQshuoqAQJyV5WLwSJgiwABuS2s/j4pAbm/68/s7REgILfHlbMiQEDOPYCAPQIE5Pa4clZ/CxCQ+7v+zN4+AQJy+2w5MwJuEfBcQF5dXS3Jyckt9q+trZXNmzdLdnZ2o8eXlpZKVVWVZGZmtvjcfjuAgNxvFWe+8RAgII+HMtfwowABuR+rzpzjIUBAHg9lruE3AQJyv1Wc+cZLgIA8XtJcBwHnCngqIF+7dq1ceuml8vjjj0vPnj0bqFdWVsqVV14pFRUV8vTTTwe//sEHH8g999wj+gOHbpdddpmcf/755vf6F+XNN98sy5YtM3/u3r273H///ZKTk+PcqiZ4ZATkCS4Al/ekAAG5J8vKpBwgQEDugCIwBE8KEJB7sqxMKsECBOQJLgCX96wAAblnS8vEEIhYwDMB+bRp02TTpk1m4o0F5LpC/Fe/+pUsWLDAhNtWQL5nzx4555xz5IILLpCpU6fK7Nmz5d5775VHH31U8vLyZMaMGTJz5kx58MEHpVOnTnLttdeaz995550RI/ttRwJyv1Wc+cZDgIA8Hspcw48CBOR+rDpzjoeu/2bMAAAgAElEQVQAAXk8lLmG3wQIyP1WceYbLwEC8nhJcx0EnCvgmYBc26NoQK7hbGMBuQbcGn6fdNJJ5qMVkL///vty9913mxC8ffv2plKTJk2Ss88+WzR0nzx5skyYMEGuuOIK87U333zTrCB/5513pE2bNs6tbAJHRkCeQHwu7VkBAnLPlpaJJViAgDzBBeDynhRYX1Iu320oltwuneXg3l08OUcmhUAiBAjIE6HONf0gQEDuhyozRwSaF/BMQK7T1JBcV4HXD8jffvtt+dvf/iaPPPKIaDuV1157LRiQP/fcc/L888/LSy+9FJTSVeL5+fkmbD/11FPluuuuMx91W7Jkifnziy++KBkZGdxfjQgQkHNbIBB7AQLy2JtyRgRUgICc+wCB2Arc8fq38uinq4MnPbJvpjx+yWjp1L5tbC/E2RDwoQABuQ+LzpTjIkBAHhdmLoKAowU8H5AvWrRIbrzxRtM25ZBDDpFnn302LCDXFiq6ijy0J7nun5qaKrfddpucfPLJcsstt8jxxx9vCrly5UqZPn16MITX/1izhQuo14UXXmi82RBAIDYC2iZKn5/QsWPH2JyQsyCAgBHQh3vr91e7du0QQQCBKAW+LSqVcx9c0OAsPzuhv0w/tl+UZ+dwBBDQBRP6XC1+HuReQCC2AlVVVaZDQHJycmxPzNkQiKMA/zZEh+35gFx7hX/11VcyevRoI7V8+XLZuHGjCbyvvvpqmTVr1gFXkF9//fVyyimnmOPrryDXHuZs4QK33nqr6elOQM6dgUDsBDTA0/8QdejQIXYn5UwIIGACct34DxE3AwKtF6jaVysLC0vkmYUb5L9LtzY4UZeUdnLcQVnSL6tT4Fd2J+mblSrt2tKusPXqHOlHAf15UIM8qzWoHw2YMwJ2COjPgxqQt23Lu53s8OWc8RFISUmJz4U8ehXPB+QfffSRLF26NFg+XVG+evVqOfPMM02P8fnz55se5BqUW6vHtP+49iG3epBrmH755Zebc9CD/MDfCbRYObAReyDQUgFarLRUjP0RiEyAFiuRObEXAqEC5ZX7ZMHqYpm/ervML9guX6wtaRVQn8xO0j8nVfrnpMmA7MBH/XO3dN4t1SpQDvK8AC1WPF9iJpggAVqsJAieyyLgIAHPBOT6il9RUZFccsklom1Tevfu3ehqsPotVvQvwrPOOsv0Lp8yZYp5gKe2Y3n00UclLy9PHnroIROe68dOnTrJNddcYz6vK9PZGhcgIOfOQCD2AgTksTfljAioAAE59wECBxbYtacqEIZrKF6wXRZt2NngoBF5XWRUfld56Yv1sqO8Kuzrvz1zuOR27iCrtu6Wgq1lUrB1t6zaWiZlFYF3cNTfUjsky4C64Lx/dqoMqAvONUDvkJx04AGzBwIeFSAg92hhmVbCBQjIE14CBoBAwgU8E5DrQzT1BwZr07edzZw5swFw/YBcd3jvvffknnvuCe578cUXy+TJk82fy8rK5KabbpIVK1aYP+fm5sqf//xn85EtXKC6plb+9elqefr12XLw0EFy3tHD5ZhB2TAhgEAMBAjIY4DIKRBoRICAnNsCgYYCxWWVgTC8LhRfVlTaYKdRfbvKmH5ZMrpfpozplykd2wXelr6saJf8a84aWbV5l2SmdZTvj+gpZ47o2Sjz5l17g2G5FZoXbNst67aXN1mW3l1TAivN61acW0F6jwxWnXMve1+AgNz7NWaGiREgIE+MO1dFwEkCngnIo0XV8El7k3fr1q3RB3Xt3LnT9P/NycmJ9lKePX7yjHkyZ1Vx2Pz+OfUIOe3g7p6dMxNDIF4CBOTxkuY6fhMgIPdbxZlvYwKbdu01K8Ottikrt5SF7ZbUpo2M6R8Iwkf3yzIf2yY13z98165d5qH3rennWlldY1aYh4bm1p93N7HqPKV928BK83rBuf5Zv8aGgBcECMi9UEXm4EQBAnInVoUxIRBfAQLy+Hp79mpLi3bJaX/9uMH8Tj+kh/xjykjPzpuJIRAvAQLyeElzHb8JEJD7reLMVwXWl5SbQNxaIV5YHL5iW9uYjOm/f3X4kX0zWwwXTUDe3MU27dwbCM+3Bdq1WG1b1pfsafKwHhkp+1u25GjLllTpn50mvbryMKsWF5YDEipAQJ5Qfi7uYQECcg8Xl6khEKEAAXmEUOzWvMDcVcVy4Yx5DXbShy/95+qjJDutA4QIIBCFAAF5FHgcikAzAgTk3B5+EFi9bXfdAzUDbVM27ggPk9M6JJsV4tbq8MPyukTNYldA3tTAKqpqZNU2XXW+PzS3wnN9qGhjm74QENrfXB8QOiA78KBQ7YPOhoDTBAjInVYRxuMVAQJyr1SSeSDQegEC8tbbcWSIgK48Ou7e9xs10V6R547sLZNG9pb8rE64IYBAKwQIyFuBxiEIRCBAQB4BEru4TuC7zaUmCF+gPcQLimVLaUXYHLp2al8XiGvblCwZ3jM95nOMd0De3ASKrFXnIeG5tm/ZUO+FgtBzdE/vaIJy0++8bsW5rjzPy+Rn2ZjfLJwwYgEC8oip2BGBFgkQkLeIi50R8KQAAbkny5qYSd36ymJ5al5h8OKp7ZNlYLc0+XrdDvO5Lp3amZBcw3I7/iOWmFlzVQTiI0BAHh9nruI/AQJy/9XcizNesnFXsH+4tk4pKa8Mm2Zu5w5hLVMO6tbZdgYnBeRNTXZP1b6wh4QGVp8Hep/r1xrb2rXVVefhwblZeZ6TJp07surc9hvL5xcgIPf5DcD0bRMgILeNlhMj4BoBAnLXlModA11YWCL3PPConHDseJk68QhJT2kns5dtkWc/WyfvLNlkJpHcNkkmjexlwvLR/Vre09IdEowSgdgKEJDH1pOzIWAJEJBzL7hRQBcfBPqHB1aIl9V7cGWvLilhLVP6ZafGfZpuCMibQ9E2NFaLltCPRTub7nWe07nD/pYtda1aNDzvmxV//7gXnAvGRYCAPC7MXMSHAgTkPiw6U0agngABObdEzAVuuOEGmTZtmowYMSLs3PMKiuW5z9bJy19uCH7++4f2MCvKTxiSG/NxcEIEvCRAQO6lajIXJwkQkDupGoylKYGFa0pk/upA/3Btm7K33upmDWADPcQDLVO0vV2iN7cH5E35aT/zxvqc60ND69fFOkfbpDb7V51nh6w+z0mTLintEl0qru8iAQJyFxWLobpKgIDcVeVisAjYIkBAbgurv0/aVEBuqSzasNME5fqral+N+fSEwTlmRfkZI3r6G4/ZI9CEAAE5twYC9ggQkNvjyllbL1BTW1u3MlzD8EAovq+mNuyEg3LTwlqmdEvv2PoL2nSkVwPy5rg2lOiq80CLFvNxW+Djpp17mzwsK01XnadK/3rBuf6ZDYH6AgTk3BMI2CNAQG6PK2dFwE0CBORuqpZLxnqggNyahv6n4bkFa037lZ17qsynR/XtaoLyC0f3cclsGSYC8REgII+PM1fxnwABuf9q7rQZV1TXBILwgkDLlM/WbG8wxGE90mV0/8Dq8DH9MiUztb3TptFgPH4MyJsqyu7K6rBe56EhemV1YLFI/a1NGzEPCB3QSHDuhvo7/gZ16QAJyF1aOIbteAECcseXiAEiYLsAAbntxP67QKQBuSWzpbRCnq0LyrXfo25De6TLuSN7yYVH9pE0Hnjkv5uIGTcQICDnpkDAHgECcntcOWvTArsrqsP6h39V9zDz0CNG9O5SF4gH2qakd3RfGw4C8si+C9aXlJte52Erz7fuls27ml513rVT+/AHheak1a1AT5UkTdbZPCtAQO7Z0jKxBAsQkCe4AFweAQcIEJA7oAheG0JLA3Jr/tq38an5uqJ8razYXGY+nZfZyTzQ87xRedKzS+L7aXqtVszHPQIE5O6pFSN1lwABubvq5cbR7iiv2t8/vGC7LN64s8E0RuV3ldH9A6vDNRBPadfWjVMNGzMBeXQl1AevNtbrXMN0q0VhY1fQB7IO0MC8XtuW7LQOjQ7oT28vl4WFJaKxuvaxv27iQdENnKNtFSAgt5WXk/tYgIDcHcX/eMU2eX/5FtHFBgNz0+Ti8f0kOYkXht1RPeePkoDc+TVy3QhbG5CHTvSZBWtNj3JrVZW+lVQf5vnDI3rL4O6dXWfCgBGIVoCAPFpBjkegcQECcu6MWAtsLa0wD9K0Hqq5fFNp2CV0ha8Jwutapmgg7sX/3BGQx/rO2n++tdvLQ1q2lJkV6Bqm67sym9oyUtqZ0NyE53VtW174fJ28t3RL2CGTx/SRu885xL7Bc+aoBAjIo+LjYASaFCAgd/7N8ebiTTL935+HDfSoAVny9OVjnT94RugKAQJyV5TJXYOMRUBuzfi1rzeaoPzTldvMp9onJ5ke5dp+5ci+me6CYbQIRCFAQB4FHoci0IwAATm3R7QCRTv3yvyCwMM0NRTXBzSGbh2Sk0zv8EAgnumbn18IyKO9s1p+fOne+qvO9z8wtLreg16bOru+e+GByYdLn6xUyc/sZH72ZnOOAAG5c2rBSLwlQEDu/Hpe/dQXMmtRUYOBzvrZMaLPamFDIFoBAvJoBTm+gUAsA3Lr5Lq65bnP1so7324OXu+MET1NWD5hcA5VQMDzAgTkni8xE0yQAAF5guBdfFldvRt4oGaxWSmufw7d0jok160QD7RMOSyvi4tn2/qhE5C33s6OIwuLddV53WrzbWWyYkuZfLa64QNh61+7R0aK5Gd1CvzK7BQIzrM6SZ/MTqKr0tniK0BAHl9vruYfAQJy59d64v0fysotgVa8odszl4+VcQOynD8BRuh4AQJyx5fIfQO0IyC3FOYVFJsV5S9/uSEIc8KQXNN+5fuH9nAfFiNGIEIBAvIIodgNgRYKEJC3EMyHu+vDE3V1+IK6UFxXjIdu+sDE/S1TMmV4zwwfKjWcMgG582+Dk+7/0ATl9e/nATmpUri9XLRdUHOb3vtWeN4nMxCc6y99hlD39I7OB3DhCAnIXVg0huwKAQJy55bpv99ulsfnrJFP6roK1B/phzceb/7tYUMgWgEC8mgFOb6BgJ0BuXWxJRt3yjML1pkHelbvqzWf1h6euqL8/CPzqAoCnhMgIPdcSZmQQwQIyB1SCAcNQ3uGm/7hJhDfLtvKwkPC3M4dZHS/LPNAQw3GD+rGs1EaKx8BuYNu6iaG8tbiTXLji1+LtmbRTZ/5c/95hwXfnVleuU8Ki3eLrj7XwHxtyO/X1XvnRP1LaKuWPiYwD7RqsVada3iuv7zYdz8eFScgj4cy1/CjAAG586qubXYfm7NGNCDXrUdGR9EHn++p2hcc7NSx+fK7sw923uAZkSsFCMhdWTZnDzoeAbkloD+cPzmv0Kwq37mnynx6WM90E5RfPL6v6IOw2BDwggABuReqyBycKEBA7sSqxHdMizfsrOsfvt30Erd+nrBG0atLinkRXgNxDcb1AYdsBxYgID+wkRP2qNxXI0s27BL9kfnQ3hkR/+y8r6bWtBfSX8EQ3QTpu2VtcblUVNc0OT396Tw0PDe/z0yVvMwU6d21k3TumOwEGkeOgYDckWVhUB4QICB3ThG/XFsij80plFe/CnQN0IUJU8bmy9Qx+dKubRv5eOU20Rdw+2Wnyqj8rs4ZOCNxvQABuetL6LwJxDMgt2av/5nVVxc1KN+4Y4/5tK5U0aD8R0f1lS70SHTejcKIWiRAQN4iLnZGIGIBAvKIqTyz45drdwT7h+sK8d0VgdWz1tY3KzX4QE0NxvO68rbd1hSfgLw1at45pmjnHlm7fU8wPA8N0uu/CFV/1t3SO5oe56HtWzQ81+/FnM4dvIPUipkQkLcCjUMQiECAgDwCJJt3Wbap1LRSeWbBWnMlfbF0yph8mTq2j3nxlA0BuwUIyO0W9uH5ExGQW8y1tSKPfLLaPNDT6qmYldZBJo3sJdPG5pu3dLIh4EYBAnI3Vo0xu0GAgNwNVYpujAvW7O8froF4Zb2VrYNy0wItU/plmmCc3snReVtHE5DHxtGLZyneXSnrg6vPA6vOTRuX4nLZvCu8x3/9+euDQfeH56nm9727ppif8TVA9/qbRwnIvfgdwZycIEBAnrgq6AuoutjxiTlrpLqmVtomtRFtnTJlTB/a2CWuLL68MgG5L8tu76QTGZCHzkxfedQV5V+t22E+3bFdWzl3ZC/zKuTwnun2InB2BGIsQEAeY1AbT/fCwnWyprjcrHrQhwjTn9hG7BicmoA8BohxOkXB1t1SurdKenVNkey0xleRatuH0P7h+nt98Tx0G9oj3YThY/pnmdYpWant4zQDf12GgNxf9Y7VbMsqqkVbKK4r2WNatVgtWwJ90Hc3+H4OvW775KS6fueppoWLhud5XVOkd1143ql921gNM2HnISBPGD0X9rgAAXn8C7y1rMKsGNdf1rMwzhuVZ4LxEXld4j8gruh7AQJy398CsQdwSkBuzey1rzeaoFwf8mBtZx3WUy4c3UfG9s+KPQBnRMAGAQJyG1BtOOWPHlkgH63YGnbmF64aJ0f2zbThapwyFgIE5LFQtPcc2iP5kn99Jp+E/Ds+fcIAufnUIbK3al9Y//DPC0saDEb7Ko+pe6imBuLpHdvZO2DObgQIyLkRYi1Qta/GBOcmQA9dga4PD91eLnsq9z+4rbFr6wrzQO/zwGrzwKrzQIDulhfKCMhjfVdxPgQCAgTk8bsTtLWdCcbnFgbfNfT9Q3uaVirkM/GrA1dqKEBAzl0RcwGnBeTWBD9YvkWemr82+BRk/fyJQ7vJ+UfmycnDusXcgRMiEEsBAvJYatpzLu1rfM4/Pm1wcn0x7vfnHmLPRTlr1AIE5FET2n6CB95fKX96e3mD6wzu1lmWby5t8Pkj8ruGBeIp7dy/atR2ZBsuQEBuAyqnbFZgw4668LwuRA+0bdltHiS6fXdls8fqu1KsnucangdWnQf6nuu7VpyyEZA7pRKMw2sCBOT2V1Tf0aetVDQcX1O821xQ85ipY/rI8UNy7R8AV0DgAAIE5NwiMRdwakBuTVRXlz05r1Be+TLwVGTd9JXKHx7RWyYd0TvmHpwQgVgIEJDHQtG+c2grpxkfF8jMb4oaXERbrfxwVJ75e2Zsf1av2leF1p2ZgLx1bvE6SkOtK5/8XD5bs73RSya1aWPapJiWKaaHeJYkJ7WJ1/C4TjMCBOTcHk4S2FZWIeu275F1JYHV5/pLV51riL5xx55mh5rWIdmE530yU0UfFqoPi7MeGqqr0DskJ8VtqgTkcaPmQj4TICC3t+D6jn4Nxr8t2mUudNSALJkyNl++d0gPey/M2RFogQABeQuw2DUyAacH5NYs9CGej326xjzQUx8GodvBvTJk0sjecvH4vpFNlr0QiJMAAXmcoCO8TE1trby3dIu8u3Sz+aj/8Y50G9YjPRiWa2ienkK7h0jt7NiPgNwO1dafc0tphcwvKK5rm1IsKzaXNXmym08bItOPG9D6i3GkrQIE5LbycvIYCmjv20Dfcw3OAyG6rjo3q8+Ly4P/T2jskvqCXKDfeWpgxXm9h4Z26RTbf+MJyGNYeE6FQIgAAbk9t8PrX280q8atFniH53UxwfgPWJhoDzhnjUqAgDwqPg5uTMAtAbk19s279sojn6w2fcp37qkyn+6XnSrnjuwtVx3XX9q1jd+qEO4oBJoSICBP/L2hf1e8u3SLvLd0s8xetiVsQPogmYlDc2XOymKZW1Ac/JquKvvDpENle3mlzCvYboI/6+8ZaycNzPVhgbq6XAPzDALzuBabgDyu3A0upi0R5hdslwWrA6H46m2Bt9xaW2qHZPNv8uINO8M+n5naXj69+QRJ8cBD9xJbAfuuTkBuny1njp9AZbX2Pa8LzkNC9LXbd5vV5/pQ0ea2nl1SzMNCe9eF56EPDe2R0bHFE9GAfFdpmXTtktHiYzkAAQSaFiAgj+3doYuIdMX4xysCz4Eb3L2zTB2TL1PG9hF99x8bAk4UICB3YlVcPia3BeQW956qffLQhwXy7GdrpWjnXvPpnM4dzIryy4/t75qH97j89mH4TQgQkCfm1tBQzlolvqheQDdxaDc5cWiu6Ef9u8LaZi0qMv9p1tYq2k+vV5fw3qX61sJ5ukK2YLv5WD8wH2pWmAfCcgJz++tOQG6/cegVtOfkgtX6YtF2mb+6WNaXhLc20NWW5oGapl1KphzcMxACPb9wnbzxTZHsKK80gfkl4/uJvjDF5lwBAnLn1oaRxU5A/w7bv/pcV6EH/qw/Bxzo3WX6Ql/wQaH1HhqqQXr9RTq/eXWxaRGpK94Hdess154wUM4Y0TN2k+FMCPhYgIA8NsWfs6rYBONvL9lkTqgvEE4dmy9TxvQRXfTAhoCTBQjInVwdl47NrQF5KPfDn6yWZxeslZVbAm/t1hVqGpRfdnQ/6Zud6tLKMGw3CxCQx696ujpcV4nranFdNW5t+gAvXSUeCMa7SawWPyw1gXkgLNcV5jvq3sliXXdIj84ytl8gLNdfsX67dvxknXklAnJ766L/jmoQHgjEt4d9T+mV9cWlQP/wLNNLXFcYsXlDgIDcG3VkFq0X2Fqqfc/DW7cE+p8H2rg0t+n/PfQBoVaArkG8vmAfuukqzM9/PVG6dmrf+kFyJAIIGAEC8uhuBH0ek7ZSsZ7zpv9v0mB86tg+or9nQ8ANAgTkbqiSy8bohYDcItcVa0/NXytfr9sRrMI5h/eSi8f3k0N789ZGl92arh4uAbl95dMVXqH9xLW/uLUN7dHZhOEaih8Wp9WqVmCuoaKG5jvKA62frG1I987BsFxXmnfhP8ZR3RwE5FHxNThY718NwvXXgoJiKd5dGbaPthsIfaBmf150jm0BHHQ2AnIHFYOhOE5A3z2mIfl6Dcsb6X+urV0i2Z64ZLQce1BOJLuyDwIINCNAQN6622P55lKzYvzp+WvNCXSVuLViXFePsyHgJgECcjdVyyVj9VJAbpG/tXiTPDF3jehbhqztpGHd5MdH9ZXxA7NdUhmG6WYBAvLYVk9DPCsU1xUPodsxg7KDq8S1Z2iit2W6wny1tcJ8u5SUhweOuuLWWl2ugTkryVpWMQLylnnV3/ub9TvNCnGrbcquveEv6ORnddrfMqVfplkNyeYPAQJyf9SZWcZeYG/VvmCrlvV1/c9f+3pjg3fg6JUfv2S0HEdAHvsicEbfCRCQt6zk+sKeBuNPzC2Uyn015p2100wrlXzeDdgySvZ2kAABuYOK4ZWheDEgt2qjAfm/Pl0t//12/1scxw3Ikh+N6yunHdzdKyVkHg4UICCPvigffbc1+JBNfTCgtXXu2C6kdUqudGzXNvqL2XiGZZtKg+1YtDVLk4G5tq3onyXa45StaQEC8pbdHV8UltStEA88VHNP5b6wEwzMTQtrmdK9FQ+ha9mI2NupAgTkTq0M43KjwIyPC+SumUsbDH32zydI/xzaP7qxpozZWQIE5JHVo7is0rRS0cWD1nOUfnBEb7NqPF7vto1spOyFQMsFCMhbbsYRBxDwckBuTV0f3Kd9yq0eW/p5bbmi/zCcNyqPewSBmAsQkLecVFuTBB6wqb+2mNUN1qb/mbRap2i7Bzdvy+sCcw3LdSXv9notLQ7qZq0wDzz4k8A8vNoE5M3f/aZdivbHr2ubUh3yfaRH6kNlzQM16/qIZ6Xxgoyb/z6J5dgJyGOpybkQEPn1K4vl5S83SFlFtbRPThJtw6Krx3UVORsCCEQnQEDevF955b66FeNrpGhn4BlN3zu0h0wdky+6YJANAS8IEJB7oYoOm4MfAnKLfO32cnnww1Xy7GfrZF9NoG+xBm+TR+fLZcf0c1hlGI6bBQjII6veis1lwVB8YWFJ2EEa4AUesJkrA3LSIjuhC/cygXndQxG1h3njgXkgLNcV5lk+X2FOQL7/Jq/aVxMIwgu2ywK9h1Zvb/AdoC8GWw/U1GA8PaWdC79LGHI8BAjI46HMNfwmsG/fPtlZWiabytvI1Efmm3/jdfXmn344wm8UzBeBmAoQkDfNqa1UHp+7Rgq27jY7nTAkV6aMzZcTh+TGtAacDIFECxCQJ7oCHry+nwJyq3y6UvWfH66SZxaslV17Av1Xu6V3lAuOzJPpEwY4vmWDB29Dz02JgLzpkn66cluwn7i+aGVtHZKTgqvEJw7N9W2Q993mQEsWs8K8kYcmDuqWtr+Heb8s8dsKYD8H5LoayArCNRT/Ym34i0r6vXREfte6FeJZ5mNKe2e3IPLcX/4unhABuYuLx9AdK6AB+e7duyU9PV0+/G6rXPToAjNW/f/GzacOcey4GRgCThcgIG9YoecXrjM9xvXd87rp4hp9x/z3D+3h9HIyPgRaJUBA3io2DmpOwI8BueVRU1sr//xglfx7XmHwrUf6JOfzRvWW6RMGSm7nDtw8CLRKgIB8P1vZ3urAKvFlW8zH0B7IvbqkBFaJD8uVYwfltMra6wcFAvNAWK4rzbWXYOg2KHd/YD6mf6Zkp3n77y0/BeT6Am6gVUqxWSW+qO4/PFb99QFLujo8tGVKcts2Xv+WYH42CRCQ2wTLaX0tEBqQK8SLn6+XG1742pj85oxhcsl43sHq6xuEybdagIB8P90b3xSZdiqfrQm8k3BE7y4ydWwf+SGtZFt9f3GgOwQIyN1RJ1eN0s8BeWihnpxXaP5hWbmlLPjpSUf0lqsnDPB0ewdX3awuGqzfA/KCbbvlvW83y7vLNptgL3Qbkdcl+JBN7YfM1jIBbUtjVpjXhabbyirCTqAPXdQVI4Ff3gvMvRyQ64sfJgyvC8WXFZWG1VZ72AbC8P2heMvuHvZGoGkBAnLuDgRiL1A/INcr6OKcP7y1zFzs7xceLmeM6Bn7C3NGBDwuQEAuMnvZFpNf6LtTdNN3mU4bmy9TxuRL2yQWTHj8W4DpiQgBObdBzAUIyMNJX/1qozz6yWr5ev2O4BdOGd5drjpugBzep0vM/TmhNwX8GJBrqGc9ZNPqeWdV1+olrh9zeGdGTFMVueMAACAASURBVG/6FVsCgblZYV6wXZoKzHV1+dh+Wa7391JAvmnX3rD+4aEv0OpNou9oCl0dzr9BMf3W4WT1BAjIuSUQiL1AYwG5XuWON741/99o1zZJnrx0tHlRmw0BBCIX8HNAPreg2ATjby3eZMB6d00xrVT0V1qH5MgR2RMBlwsQkLu8gE4cPgF541V5f/kWmfFRgcxZVRzcYfzAbLny2P5y7EG0gnDiveykMfkhIN9TtU/eW7pZ3l26xXws3VsdLIG2+dA+4oFgvJtoKwi2+AhoyBraw3xrvRXm+sBTXVlurTJ32wsWbg7I15eUm0DcWiFeWLy/B7/eHV06tQt7oObBvTLic9NwFQREhICc2wCB2As0FZDrla595kt5/euN0iMjRf592WjesRp7fs7oYQE/BuRfr9thHr75ny82mMpmprY3K8Y1GHfbz/MevjWZWhwFCMjjiO2XSxGQN1/pzwtLzAM93/12c3BHbRFx+TH9eeCFX75JWjFPrwbk+lDNwCrxLaIP2wzdhnTvLBOHdTOh+GF5vNuiFbeNLYdYgbmGshqcby0Nb8liBeZj6tqyOP3ZC24KyFdv2x0Iw3WF/+rtsnHHnrAa639mQlumDO7e2ZZ7gJMiEIkAAXkkSuyDQMsEmgvIq2tqZdrD80VXgx7aO0OeumysdO7I6s+WCbO3XwX8FJCv2Fwqj80plKfmF5pyp7RrK9PGBVqp5Gd18ustwLwRoMUK90DsBQjIIzPVvr///HBl8BVbPUp7/V56dD+5cHSfyE7CXr4R8FJAvrCwxKwQ11BcHxgZuh0zKDu4Slzf3sfmfIFVW8NXmG+pF5j3z0kN6WGe5biHFTs5INfvDw3CF9SF4vVte3ZJCWuZotZsCDhFgIDcKZVgHF4SaC4g13kW7dwr0x6Zb56BpO+4e+SiUV6aPnNBwDYBPwTk60v2mFYq+qy0vVX7jKXpMT42X3RhEhsCfhdgBbnf7wAb5k9A3jLUzbv2mofr6D9U+2pqzcHdMzrKxUf1kyuP69+yk7G3ZwXcHJBX7asJtk3R1eI7yquCddKVTbpC3Oop3rFdW8/W0C8TCwTmgVXOusK8QWCeHQjMAyvMM6VbeseE0jgpIF+ycZcssB6qWbBdSsorw2x0VY/1QE1dKZ6XySqfhN48XLxZAQJybhAEYi9woIBcr/jN+p0mJN+5p0ouGN1H7jn3kNgPhDMi4DEBLwfk23dXymMajM8tDP5sOWlkb9NKhefReOxGZjpRCRCQR8XHwY0JEJC37r7YU7nPtF557NM1smtvIEDU8PBH4/rK1RMGmIersflXwG0B+YYde4KrxK0noVvV65+dKifWtU7RkI/N2wL6gNVAD/NAWxB9UTB061cXmAd6mMc/ME9kQK69HwP9wwMvKJRV7O+7r0b6rqLR/TJNH3H9XtEXT9kQcIsAAblbKsU43SQQSUCu89F36V36+GdmateeMEh+fvJBbpomY0Ug7gJeDMh1lbgVjOv/zXQ77ZAeMnVMH9FnobEhgEC4AAE5d0TMBQjIoyd9+OMCeeST1eZtkrrpAwn17U/TJwyUHgQk0QO78AxuCMi/Wrcj+JDNpUW7wpQ15LNWiWuPajb/ChRoH+26wFxXmjcWmFuryzU0727zCvN4BuQL15TI/LoV4to2xXp7q3U3DO2RXheIB0LxrLT2/r1RmLnrBQjIXV9CJuBAgUgDch36s5+tk1+89I2ZxR1nDTeLbtgQQKBxAa8F5E/MXSNPzC007ZZ0mzA4x6wY1/+PsSGAQOMCBOTcGTEXICCPHenzC9fJgx8VyKq6f9j0zGcf3susKD+oG33CYift/DM5MSCvqa01K5Ssh2xuK9v/sMb2yUnB1ikTh+ZKeko75yMzwoQI6IMnAyvMA6uoN9VbYd7XWmHeL9O0Zon1Kmq7AnL9/gisDNce4oHV81YbLQv6kN4ZwdXhukKc75OE3IJc1CYBAnKbYDmtrwVaEpAr1AOzV8qf3lluzP459Qg57eDuvvZj8gg0JeCVgPyFz9fLk3PXmFZLuunPlxqMnzGiJ8VHAIEDCBCQc4vEXICAPOak8tbiTaZP+dfrdwRPfuLQXJl+3EAZ1bdr7C/IGR0n4JSAXFf7vrt0i1kpPnvZljCnXl1SzAOhJg7LlWMH5TjOkAG5Q0AD88AK8+0yb3WxbKp7J401+r5Z2sM8s66HeVbU76qJVUBeUV0TCMI16F+9XT5bs70B+Mj8ruY/KlbLlJT29Nx3x13JKFsjQEDeGjWOQaB5gZYG5Hq2215dIo/PXSMp7drKk5eOllF9aW/HfYZAfQG3B+QzFxWJrhrXn0N1O6RXhkwbly/njcqj2AggEKEAAXmEUOwWuQABeeRWLd1zzqptJij/eMW24KFH9s2U6RMGyAlDclt6OvZ3kUAiA/LFG3YGQ/FFGwKrEaxtRF4X0RXi+nY9bQ/BhkCsBdYU6wrz7YEe5gXFwdZT1nX0wZWB/uWBXy1tQ9XagHx3RXVY/3BtMRS6tRGR0fowUhOIB0Lx5Lb6WTYE/CFAQO6POjPL+Aq0JiDXEV791Bcya1GRebjzvy8dI/pvJxsCCOwXcGtA/v6yLaaVyvvLAwuX9Pk1umJcfyUn8XMn9zgCLREgIG+JFvtGJEBAHhFTVDtpYKlBub5SbG1Dunc2PcrPOoy3T0WF69CD4x2Q6+pwXSWuLVTqt7wwq8TrQvGczh0cKsawvCqggbmujrEe/Gk9q8Gar/6nX8No66GfPbukNEsRaUC+o7xqf//wgu2yeGP4i0Xt2ybJaF3ZXvdATe27z4aAnwUIyP1cfeZul0BrA3J9l9PUh+ebdzfpu5mev2IcL9raVSTO60oBtwXk+nOwBuP6wpdu+vOuPrNMg/HOHZNdWQMGjUCiBQjIE10BD16fgDx+RV27vdwE5c8sWBu8qP7jqCvK9R9INu8I2B2Qa/9wDcNNKL5sS1iv5Oy0DsFAXMNxfWgsGwJOESgsLg+G5fqfhfqBeZ9Ma4V5oId5aGD+2Jw1Mn/VNtF+4aP7Z8ulR/cLTmtraYXogzSth2ou31QaNuVO7ZNljAnEA6H44X26OIWEcSDgCAECckeUgUF4TKC1AbkyrCspl2mPLJA123bLKcO7y4PTjvCYDtNBoPUCbgnItbe4tlJ58fP1ZrJdO7U3rVSmjOkj3Wx+sH3rdTkSAXcIEJC7o06uGiUBefzLpSsb//nBSpnx8WoT9OimD3u76rj+pk85gWb8axLrK9oRkC8t2hUMxb+s1x5C35EwcZiuFO8mh+UR/MW6npzPPoG1Gpiv1h7mgT7mG3fsCbuYBuZj+meJ9tP/6LutYV8bPzBb9Osaihds3R32tYyUduY4q2XKwb0y7JsEZ0bAAwIE5B4oIlNwnEA0AblO5ou1JSYk1zZhutL0d2cf7Lg5MiAEEiHg9IB85ZYyE4zrqnHdOiQnybRxfWXq2D6iz+dhQwCB6AUIyKM35Az1BAjIE3dLaDiuK8r/78NVUrq32gykbVIbufyY/nL1hAEmNGdzp0CsAnINBHWl+LvLNsuGkvDg8OhB2SYQ11+9uzbflsKdiozajwL6ThsrLNeP9QPzpkz0nROhK8QHd+/sRz7mjECrBQjIW03HgQg0KRBtQK4nfmfJJrniyc/NNa4/6SD52YmDEEfA9wJODcg37NhjQvEn566R8sp9pk66Wlxf4OL5T76/bQGIsYDnAvLq6mpJTm7Yc2nPnj1SUlIiPXr0kDaNLKetra2VzZs3S3Z2dqPHl5aWSlVVlWRm0lP0QPcgAfmBhOLz9SfnFso/P1wVFgbpP6bap9wKP7WX+b7aWhnaPV3aJyfFZ2BcpVUCrQ3I9d0F2jbl3bqe4pXVNcHra386KxA/cWiudGzXtlVj4yAE3CSwri4wv/mlb6Qm8IabsO2Os4bL0QOzpX9OmpumxVgRcJwAAbnjSsKAPCAQi4BcGZ6aXyi3vrzYiNx9ziEyeUwfD+gwBQRaL+C0gLykvFIen1MoT85bI8VllWZi5xzey7RR1ecIsCGAQOwFPBWQr127Vi699FJ5/PHHpWfP/Q8qvPbaa2XZsmVGr3379nL88ceLhrjW9sEHH8g999wj+gOHbpdddpmcf/755vf6F+XNN98cPL579+5y//33S05OTuyr4ZEzEpA7q5CvfrVB/vHBKgntn3vUgGz5bnOpaN9p3VLbJ8s9kw6RM0bwgE9nVW//aFoSkK/YXCbvml7im2XhmpKwKfXLTg2E4sO6mVYRbAj4VeDUv3wky+r1Fde3qH5w4wS/kjBvBGIqQEAeU05OhoARiFVAruf6y7vfyV/eXWHOO+NHo+SkYd1QRsC3Ak4JyPWBuo/PWSNPzisUXdSh26nDu8vUcflmAQcbAgjYJ+CZgHzatGmyadMmI1U/IP/73/8up5xyivTp00fmzp0rd999t9x3331y6KGHiq4sP+ecc+SCCy6QqVOnyuzZs+Xee++VRx99VPLy8mTGjBkyc+ZMefDBB6VTp06iYbt+/s4777SvKi4/MwG5Mws4e9kW035Fn17f2KYP9Xjs4iOlXdskade2jSSbj3W/Twp81D9ryxa2+AscKCCfs2qbvFv3kE19aGHoNrpfpujDNScOzZUBrIqNf/G4oiMFXv9mo/z0mS+l7rENZoz3/XCETDqityPHy6AQcJsAAbnbKsZ43SAQy4Bc53vry4vkqflrJa1jsvz70jE8d8YNNwFjtEXACQH5v+dpK5VCWb458GD4Yw/KMSvGefHKlpJzUgQaCHgmINf2KBqQazhbPyCvP+szzzxTvve978mVV14p77//vgnMNQTX1eW6TZo0Sc4++2zR0H3y5MkyYcIEueKKK8zX3nzzTbOC/J133mm0VQv3mJgaqN2IESPgcKDAwsISueChuVK9r5HeAhGMN6mNhueBsNwKzZNDAvT94bq1T5IkJ+3fPxC8N/41PWfo1811Qs7d4Gt6rrqvN36cni98rBFM0XG7aE/5Fxeul+LdFdI3O1UuPbq/TDgox/QR137i2kLF6kmng9d2OYHWKbnmI73nHVdSBuQQAX3L6sLVW6SmRuSI/jmS27mDQ0bGMBBwvwABuftryAycJxDrgFxnqP3ItS+5vsvwuSvGSW46/xY6r/KMyG6BRAbkL32x3gTjX63bYaZ5ZN9ME4yfeRjv7ra77pwfgVABzwTkOikNyXUVeHMB+Zo1a+Tyyy+XW265xbRaee655+T555+Xl156Keiiq8Tz8/NN0HvqqafKddddZz7qtmTJEvPnF198UTIyMribGhEgIHf+bTHu9+9J0c69DQY6KDdNqmtqpWpfrVTvq5Eq/VVj/V4/v79/tfNn2fgIw1fIWwF8eJAeFuInNQzZg6F7va+FrrrX4D40nI/0a/VfbHhv2Rb5+fNfH5C7Z5eUYCiuqw3YEEAgMoG9e/eKPockJYUH00Ymxl4IRCZAQB6ZE3sh0BIBOwJyXWQx5eF58uXaHaLvOnz+ynEtGRL7IuAJgUQE5G8uKjKtVOasKjaGw3umy7RxfeWCI/M8YcokEHCbgK8C8rKyMtOjXFulPPLII5KUlGRaqOgq8qeffjpYuxtvvFFSU1Pltttuk5NPPjkYpusOK1eulOnTpwdDeH3wJ1u4wO233y4/+MEPZPjw4dA4VODe91bL0wuLwkZ3wkFZct85gw84Yg3QdfV5VU2N+RgM1K0gve7r+z8f2C8QtOv+GrwHjtv/+ZrAn61w3nys+1zwGvv/HMm5wq+xf6wHnKCLdhjeI02OG5gpxw3sKgflprpo5AwVAQQQQAABBBBAwCkC60r2ylXPLZGNOyvkpCFZ8sezDvx/AqeMnXEg4DaBTwtK5PkvN8lHKwNZUn5mipx3eHf54eHdzTut2RBorUDXrjzAtbV2epxvAnLtNX799ddLcXGxPPTQQ2LdOJGsINfjtIe5bqwgP/DtxgryAxs5YY+/vrdC5qzcJvtqa+XwPl3lhpMHS4fkJCcMzdYxmFXxwRXyVtAf+JwJ5es+1l85H1hRH9g/7HhzTGClfdjxzazCb3iNxsYUOF/p3upGV+7fdsZwuXh8X1utODkCfhBgBbkfqswcEyHACvJEqHNNrwvYsYLcMtPnFE17ZIHsrdonPz6qr/z2TBY7ef1+Yn77BeKxgnzB6u2mlYo+B0e37hkdTSuVqWPzJSOlHeVAAIEEC/giINcf0LUtSkVFhTzwwAPBcFztrR7ks2bNknbtAn8paf9x7UNu9SDXVizalkU3epAf+I4lID+wEXsgEKnAMwvWyi//s6jB7rN+dowM65Ee6WnYDwEEmhAgIOfWQMAeAQJye1w5q78F7AzIVXbWoiK5+qkvDPKNpwyWnxw/0N/gzN43AnYG5Is27DTB+PML1xlPDcNNMD4uX7qnd/SNMRNFwOkCngnIq6urpaioSC655BLTNqV3796SnJws+hfdRRddJDU1NXLXXXdJWlqaqYm2V+nZs6f5+llnnWV6l0+ZMkVmz54t9957rzz66KOSl5dnVptreK4ftTXLNddcYz5/5513Or22CRsfAXnC6LmwRwU0INegXLfOHZPl6gkDZfqEAR6dLdNCIL4CBOTx9eZq/hEgIPdPrZlp/ATsDsh1Jo/PWSO3vbbETOqPPzhUzhtFP+T4VZgrJUrAjoB81dYyE4xrn/F9NbWiz8KaNi7fhOP6UFw2BBBwloBnAnJ9iKb+wGBt7du3l5kzZwYf3Fmf3fq6fv69996Te+65J7jLxRdfLJMnTzZ/1r7lN910k6xYscL8OTc3V/785z+bj2yNCxCQc2cgEHuBvZXVsmFriQzoxQM4Y6/LGf0sQEDu5+ozdzsFCMjt1OXcfhWIR0Cutn96Z7k8MHulYf7Xj4+U44fwf1+/3nN+mXcsA/KinXvkCQ3G5xZKWUW1IbxwdB8TjA/ryTuA/XJPMU/3CXgmII+WXleYb9y4Ubp16xZstRJ6zp07d0plZaXk5BBOHciagPxAQnwdgZYL6N9RpaWlkpGR0fKDOQIBBJoUICDn5kDAHgECcntcOau/BeIVkKvyzS99I899tk66dGovz14+RobQ2s/fN5/HZx+LgHxHeZU8OW+NCca3lFYYsbMO62VWjY/K5+GJHr+FmJ4HBAjIPVBEp02BgNxpFWE8XhAgIPdCFZmDEwUIyJ1YFcbkBQECci9UkTk4TSCeAbnO/ZLHPpPZy7bIoG5p8tL0oyS9Iw8SdNo9wXhiIxBNQF5ZXRNYMT5vjRQWl5sBnTysm0wb11eOGZQdmwFyFgQQsF2AgNx2Yv9dgIDcfzVnxvYLEJDbb8wV/ClAQO7PujNr+wUIyO035gr+E4h3QF66t1qmPDxPvlm/U44akCVPXz7Wf+jM2BcCrQ3In56/1vQYX1q0yzgdPSjbtFI5ZXh3X7gxSQS8JEBA7qVqOmQuBOQOKQTD8JQAAbmnyslkHCRAQO6gYjAUTwkQkHuqnEzGIQLxDsh12vqgwakPz5einXtNu4i/XnCYQzQYBgKxE2hpQP7ylxtMK5Uv1paYQRyR39UE42cf3it2g+JMCCAQVwEC8rhy++NiBOT+qDOzjK8AAXl8vbmafwQIyP1Ta2YaXwEC8vh6czV/CCQiIFfZuQXFMu3h+VJdUyuXHdNPfvW9Yf4AZ5a+EYg0IH97ySYTjH+ycpuxGdoj3fQYnzy6j2+smCgCXhUgIPdqZRM4LwLyBOJzac8KEJB7trRMLMECBOQJLgCX96wAAblnS8vEEiiQqIBcp/za1xvlp898aWb/y9OGyJXHDUigBJdGILYCBwrIP/puq2ml8t9vN5sL981KNcG4rhpvn5wU28FwNgQQSIgAAXlC2L19UQJyb9eX2SVGgIA8Me5c1fsCBOTerzEzTIwAAXli3LmqtwUSGZCr7COfrJY73/jWIN9/3gg5d2Rvb4MzO98INBWQL1xTYh6++epXG41FbnpHE4rrry6deGitb24QJuoLAQJyX5Q5vpMkII+vN1fzhwABuT/qzCzjL0BAHn9zrugPAQJyf9SZWcZXINEBuc72D28tk39+sMpM/OnLx8hRA7Lji8DVELBBoGBTibRLbit52enm7Es27jIrxp9dsNb8uXPH5EAwPq6v9MjoaMMIOCUCCCRagIA80RXw4PUJyD1YVKaUcAEC8oSXgAF4VICA3KOFZVoJFyAgT3gJGIAHBZwQkCvrDS98LS9+vl6y0zrIi9PHmXYTbAi4UUBbp/z61cVSWFxuhj+4W2cZ1jNd3vimSKr21UjbpDZ1wXi+DMhJc+MUGTMCCEQoQEAeIRS7RS5AQB65FXsiEKkAAXmkUuyHQMsECMhb5sXeCEQqQEAeqRT7IRC5gFMCch3xRY8ukA+/22oeUvjaNeOlXVv6MEdeSfZ0isBJ938oK7aUNTqc84/MM+H4wb0ynDJcxoEAAjYKEJDbiOvXUxOQ+7XyzNtOAQJyO3U5t58FCMj9XH3mbqcAAbmdupzbrwJOCsh3lFfJ5Bnz5NuiXXLsQTnyxCWj/VoW5u1SgR3llXLYHf9tMHp9seepy8bI6H6ZLp0Zw0YAgdYIEJC3Ro1jmhUgIOcGQSD2AgTksTfljAioAAE59wEC9ggQkNvjyln9LeCkgFwr8d3mUpny8HzZWlohk0b2lvvOG+HvAjF7VwmUVVTLwbe93WDMuZ07yIJbJ7pqLgwWAQSiFyAgj96QM9QTICDnlkAg9gIE5LE35YwIEJBzDyBgnwABuX22nNm/Ak4LyLUSn6zcJlMfnm+KctVxA+QXpw3xb4GYuWsENu7YI3fNWiozvylqMOYLjsyTeyYd6pq5MFAEEIiNAAF5bBw5S4gAATm3AwKxFyAgj70pZ0SAgJx7AAH7BAjI7bPlzP4VcGJArtV4+csNcv1zX5nC/Pr7w+TSo/v5t0jM3PEC7y/fInfNXCort5RJj4yOkte1k2zYUS7JSUmmXdBvzxxuHs7JhgAC/hIgIPdXveMyWwLyuDBzEZ8JEJD7rOBMN24CtFiJGzUX8pkAAbnPCs504yLg1IBcJ//QRwVy96ylxuHvFx4uZ4zoGRcTLoJASwT+78NVcs+by8whJw7NlVtPHyr9c9KkvLxc2rZtKx06dGjJ6dgXAQQ8JEBA7qFiOmUqBOROqQTj8JIAAbmXqslcnCRAQO6kajAWLwkQkHupmszFKQJODsjVSFflzvi4wKy+feGqcTKyT1en0DEOnwtsK6sw96e+20G3qycMlJtOHRxUISD3+Q3C9BEQEQJyboOYCxCQx5yUEyIgBOTcBAjYI0BAbo8rZ0WAgJx7AIHYCzg9INcZX/fcV/LKlxuke0ZHefUn46VbesfYQ3BGBFogoH3y7565VL4t2mXux1tOHypnHRb+DgcC8haAsisCHhUgIPdoYRM5LQLyROpzba8KEJB7tbLMK9ECBOSJrgDX96oAAblXK8u8EinghoBcfaY8PF8+XblNDumVIa9fe3Qiybi2zwUe+WS1/O6Nb6VWxPQX15Yqg7t3bqBCQO7zG4XpI8AKcu4BOwQIyO1Q5Zx+FyAg9/sdwPztEiAgt0uW8/pdgIDc73cA87dDwC0BeXFZpVw4Y558t7lUThiSK4/++Eg7ODgnAk0K7NxTZVqqPL9wndnn8mP7m3C8qY2AnJsJAQRYQc49EHMBAvKYk3JCBGixwj2AgE0CBOQ2wXJa3wsQkPv+FgDABgG3BOQ69aVFu2Tyw/OlZHelnH9knvxh0qE2iHBKBBoKLFi93YTjX6/fIZmp7U1LlR8c0btZKgJy7iQEECAg5x6IuQABecxJOSECBOTcAwjYJEBAbhMsp/W9AAG5728BAGwQcFNArtP/8LutctGjC4zENccPlBtO2f9QRBt4OCUC8uTcQrnzjW+lcl+NjBuQZVaNH9wr44AyBOQHJGIHBDwvQEDu+RLHf4IE5PE354reF6DFivdrzAwTI0BAnhh3rup9AQJy79eYGcZfwG0BuQq98Pl6ufGFrw3W7WcNl4vG9Y0/HFf0vEB55T65a9ZSeWpeoZnrj4/qK7d+b6i0a5sU0dwJyCNiYicEPC1AQO7p8iZmcgTkiXHnqt4WICD3dn2ZXeIECMgTZ8+VvS1AQO7t+jK7xAi4MSBXqX98sEr++NYyg/bwRaNk4tBuiQHkqp4U+HLtDrlr1reycE2JpKe0k1tOGyIXjO7TorkSkLeIi50R8KQAAbkny5rYSRGQJ9afq3tTgIDcm3VlVokXICBPfA0YgTcFCMi9WVdmlVgBtwbkqnb769/Kvz5dLR2Sk+SVn4yXoT3SE4vJ1T0h8Oxna+XON5bK7opqGdW3q9x6+jA5vE+XFs+NgLzFZByAgOcECMg9V9LET4iAPPE1YATeEyAg915NmZEzBAjInVEHRuE9AQJy79WUGSVewM0Buepd8/SX8sY3G6V31xSZ9dNjzGpfNgRaI1C9r9asGv/Xp2vM4VPG5pt+453at23N6YSAvFVsHISApwQIyD1VTmdMhoDcGXVgFN4SICD3Vj2ZjXMECMidUwtG4i0BAnJv1ZPZOEPA7QF5rYhc+NA8mVdQbFb5vnz1eGfAMgpXCSzeuFPunrlU5qwqltT2yfKL04bItHH5Uc2BgDwqPg5GwBMCBOSeKKOzJkFA7qx6MBpvCBCQe6OOzMJ5AgTkzqsJI/KGAAG5N+rILJwl4PaAXDW37KqQC2fMk1Vby+TkYd3koR+NchYyo3G0wEtfrJc7X/9WduypkhF5Xcyq8dH9MqMeMwF51IScAAHXCxCQu76EzpsAAbnzasKI3C9AQO7+GjIDZwoQkDuzLozK/QIE5O6vITNwnoAXAnJVXbxhp0yeMV927a2SKWP6yF3nHOI8bEbkOIG7Zy2Vhz4qMOM6/8g8ueX0oZIRozY9BOSOKzcDQiDuAgTkcSf3/gUJyL1fY2YYfwEC8vibc0V/CBCQ+6POzDL+AgTk8Tfn/HKXAQAAIABJREFUit4X8EpArpWavWyLXPLYZ6Zo1008SK6bOMj7BWSGrRL4bnOp3DVzqXz43VbzkNebTx0ilxzdr1XnauogAvKYcnIyBFwpQEDuyrI5e9AE5M6uD6NzpwABuTvrxqidL0BA7vwaMUJ3ChCQu7NujNrZAl4KyFX62c/WyS9e+sag//EHh8p5o/KcXQBGF3eB17/eKHe88a1sLa2Q4T3Tzarx8QOzYz4OAvKYk3JCBFwnQEDuupI5f8AE5M6vESN0nwABuftqxojdIUBA7o46MUr3CRCQu69mjNj5Al4LyFX877NXyH3vfGfwn7psjC3hp/MrywgbE7j37eXyv++vNF86d2QvE45np3WwBYuA3BZWToqAqwQIyF1VLncMloDcHXVilO4SICB3V70YrXsECMjdUytG6i4BAnJ31YvRukPAiwG5yv/m1cXyxNxCSe2QLDOvPVr6Zqe6oyCM0haB1dt2m5Yq7y7dLG2T2shNpwyRK4/rb8u1rJMSkNvKy8kRcIUAAbkryuSuQRKQu6tejNYdAgTk7qgTo3SfAAG5+2rGiN0hQEDujjoxSncJeDUg1ypM//fn8ubiTSYc/+/1x0q7tknuKg6jjYnAW4s3mZYqG3fskcHdO8svTxsqEwbnxOTczZ2EgNx2Yi6AgOMFCMgdXyL3DZCA3H01Y8TOFyAgd36NGKE7BQjI3Vk3Ru18AQJy59eIEbpPwMsBeXVNrVzw0FxZuKZEjuybKS9cNc59BWLEUQn89d0V8ud3A+12zhjRU249fah0z+gY1TkjPZiAPFIp9kPAuwIE5N6tbcJmRkCeMHou7GEBAnIPF5epJVSAgDyh/FzcwwIE5B4uLlNLmICXA3JFLdq5Ry54aL4UFu+W0w/pIf+YMjJh1lw4fgLrS/bI3bOWyqxFReaiN5wyWK45fmD8BiAiBORx5eZiCDhSgIDckWVx96AIyN1dP0bvTAECcmfWhVG5X4CA3P01ZAbOFCAgd2ZdGJW7BbwekGt1vl63Qy6cMU/KK/fJRUf1ldvPHO7uojH6ZgXeW7ZF7nh9iRQWl8uAnDT5xWlD5KRh3eKuRkAed3IuiIDjBAjIHVcS9w+IgNz9NWQGzhMgIHdeTRiRNwQIyL1RR2bhPAECcufVhBG5X8APAblW6b/fbpbLn1hoCqaB6VXHDXB/8ZhBA4F/fLBK/vjWMvP5Uw/ublqq5GV2SogUAXlC2LkoAo4SICB3VDm8MRgCcm/UkVk4S4CA3Fn1YDTeESAg904tmYmzBAjInVUPRuMNAb8E5Fqtp+avlVtfXmQK9/cLDzc9qdm8IbBlV4XcNetbefWrjWZCP5s4SK6feFBCJ0dAnlB+Lo6AIwQIyB1RBm8NgoDcW/VkNs4QICB3Rh0YhfcECMi9V1Nm5AwBAnJn1IFReEvATwG5Vk4f2KgPbtTtP9OPkpH5Xb1VUB/O5uMVW+X217+VlVvKJD8rVW4+dbDpN5/ojYA80RXg+ggkXoCAPPE18NwICMg9V1Im5AABAnIHFIEheFKAgNyTZWVSDhAgIHdAERiC5wT8FpBrAW95eZE8PX+tZKS0k3euP1a6pXf0XF39MqEZHxfIXTOXmulOHNpNbjl9qPTPSXXE9AnIHVEGBoFAQgUIyBPK782LE5B7s67MKrECBOSJ9efq3hUgIPdubZlZYgUIyBPrz9W9KeDHgFwrqf3ItS/5wNw0efd/jvNmcT08q5LyShOMv/j5ejPLq48fKDedMthRMyYgd1Q5GAwCCREgIE8Iu7cvSkDu7foyu8QIEJAnxp2rel+AgNz7NWaGiREgIE+MO1f1toBfA/KK6ho5/8G58tW6HTJuQJY8c/lYbxfaQ7ObV1BsWqosLdolvbumyE2nDJEzD3NeP3kCcg/ddEwFgVYKEJC3Eo7DmhYgIOfuQCD2AgTksTfljAioAAE59wEC9ggQkNvjyln9LeDXgFyrvq6kXC54aJ5sKNkjZ47oKX+78HB/3wwumP3jc9bIba8tMSOdMDhHfnnaUBncvbMjR05A7siyMCgE4ipAQB5Xbn9cjIDcH3VmlvEVICCPrzdX848AAbl/as1M4ytAQB5fb67mDwE/B+Ra4S8KS+TCGfNEV5RfcWx/08OazXkCZRXVpqXKMwvWmsG5oVYE5M67jxgRAvEWICCPt7gPrkdA7oMiM8W4CxCQx52cC/pEgIDcJ4VmmnEXICCPOzkX9IGA3wNyLfFbizfJVf/+3FT79jOHy0VH9fVB5d0zxc8LS+T215fIN+t3Svf0jnLjKYNl0hG9HT8BAnLHl4gBImC7AAG57cT+uwABuf9qzoztFyAgt9+YK/hTgIDcn3Vn1vYLEJDbb8wV/CdAQB6o+RNzC+U3ry42v3/4olEycWg3/90MDpzx0/PXyq9eWSw1tbVy9MBs+cVpQ+TgXhkOHGnDIRGQu6JMDBIBWwUIyG3l9efJCcj9WXdmba8AAbm9vpzdvwIE5P6tPTO3V4CA3F5fzu5PAQLy/XX/0zvL5YHZK80n3vzZMTK0R7o/bwoHzLqyukZ+N3OpPDF3jRnNxeP7mvY37domOWB0kQ2BgDwyJ/ZCwMsCBORerm6C5kZAniB4LutpAQJyT5eXySVQgIA8gfhc2tMCBOSeLi+TS5AAAXk4/M0vfSPPfbZOstLay+yfT5CMlHYJqox/L7to/U757etLRFurZKf9f3t3ArXXeO4P+M4oiRBiSJBITYlqUydomlYpJaHaf1CCGFpDOYZSaRpTnVLTMZW2WsRU/i09hphOSVFBDQmqWjELgpJJEEQiCTlr765kiQTfsPf37eF617JSyX7vfT/X/Wi+/LK/510ufjKkb+wxcO3SgQjISzcyDRPIXKByAfmCBQuiffv2y4SaMWNGdO3aNTp37rzUry9cuDCmTZsWq6666jLf/84778T8+fOje/fumQ+hagUF5FWbqPUUQUBAXoQp6KGKAgLyKk7VmoogICAvwhT0UDUBAfnSE93/8odj3NPTY8OeK8Sfj9yyaiMv9HqufeRfcfwNE9MPTR207ipx9PYbxoC1Vyp0z5/UnIC8lGPTNIFMBSoVkL/88stxwAEHxBVXXBFrrrnmYqjJkyfHyJEjI/lCPXkNGjQoTjjhhMVB+N133x2nn356JF9wJK8f/OAHsfvuu6f/O/k/yqOPPjqefvrp9N979uwZ55xzTqy22mqZDqJKxQTkVZqmtRRFQEBelEnoo2oCAvKqTdR6iiIgIC/KJPRRJQEB+dLTfG/eB7H76PEx8dVZscUGq8bvD/hKlUZeyLUsXBhxyi1PxqX3vZj2t8+gPnHsDp+PLh3bFbLfhjQlIG+IkmsIVFugMgH5PvvsE1OnTk2n9fGA/OCDD44uXbrEqaeeGlOmTIlDDz00/Wfo0KExZ86c2HnnnWOPPfaIvffeO8aNGxdnnXVWXHbZZdG7d++4+OKL45ZbbonRo0enNQ4//PD0508++eRq74xmrE5A3gw8byXwCQICcluDQD4CAvJ8XFUlICC3BwhkLyAgX7bp5JmzY4/RE2Lq23Nj1017xdnDNs4eX8VU4Omp78SJNz8RE16YGSt16RAjh/RLA/KyvwTkZZ+g/gk0X6AyAXlyPEoSkCfh7EcD8lmzZsWuu+4aZ5xxRmyyySap2CmnnJIep3LeeefFXXfdFaeddloagnfs2DH99V122SV22mmnSEL3PffcM7baaqs46KCD0l8bO3Zs+gT57bffHm3atGn+BCpYQUBewaFaUqsLCMhbfQQaqKiAgLyig7WsVhcQkLf6CDRQQQEB+ScP9eHJb8QeF02IDz5cGD/aZoMYMbhvBXdA6y7ppn+8Fj+9YWK8+/6C2OxzK8dR220YA9epxhG0AvLW3VvuTqAIApUJyBPMJPROngL/aEA+adKkOOSQQ+Kqq65afCxK8uu33XZb+nNXX311XHPNNTFmzJjF80ieEu/Tp08atm+//fZx5JFHpj8mryeeeCL99+uuuy66detWhBkWrgcBeeFGoqEKCAjIKzBESyikgIC8kGPRVAUEBOQVGKIlFE5AQP7pI7nlsSlx2FV/Ty86c9cvxW6b9S7cDMva0Oljn44L73k+bX/4wLXjmG9tWKkPRRWQl3Vn6ptAdgKVD8gfffTROOqoo5YItJNQ/Morr4ybb745PUIleYo8CcsXvUaNGhXLL798ek75kCFD4rjjjoutt946/eVFgfuiED75g7XXkgKJ1/Dhw6N///5oCBDISCD5IOH3338/OnXqlFFFZQgQSASSD/dO/vvq0KEDEAIEMhRIvkZOvjuzbdu2GVZVikC9BZIHJubNm+frwU/ZBv//wVfitLHPplf87nsD4qvrVuMJ59ba+S++/l6cMvaZuP/5N6Lrcu3jiK3Xje8Nqt5fPMyfPz89IaB9+/atRe2+BJotICtoHmHlA/IsniAfMWJEbLfddqn0x58gT84w9xKQ2wME8hZIArzkD0TLLbdc3rdSn0CtBJKAPHn5A1Gtxm6xLSCQ/J6V/MWTIwlbANstaiOQfD2YBHmLjgatzcIbudBz7nw+Lr7vpWjbpk3cethXos8qXRpZweWJwG1PTo+f3/JMvPne/Ni414px5DfXi0HrrFxJnOTrweT3q3btyvtBo5UcjEU1SqBz586Nut7FSwpUPiBfdAb5mWeeGQMGDEhXn3zA5vTp05c4g/zWW29d/PRYcv54cg75ojPIk6fHDzzwwPS9ziD/7P+EHLHy2UauINBYAUesNFbM9QQaJuCIlYY5uYpAYwUcsdJYMdcT+GwBR6x8ttGiK0Ze+88Y88i/oseKneLeo7aOju19N0vD9SJ+cfuzcd6459K3DNusVxyz/edjla7//sy2Kr4csVLFqVoTgcYJVCYgT/7Gb8qUKbH//vunx6b06tVr8dNgyQdsrrDCCumHcyYf5JmcSZ78s+OOO0byf4TJj8nZ5XvttVeMGzcuzjrrrLjsssuid+/ecdFFF0USnic/dunSJX74wx+mP5+E7F7LFhCQ2xkEshcQkGdvqiKBREBAbh8QyEdAQJ6Pq6r1FhCQN27+37vsofjrszPii2t1iz8d/vXGvbmmV7/yxntxws1PxLinp0enDu3SDzv9zy3XrbyGgLzyI7ZAAp8pUJmAPPkQzeQLhkWv5NvObrnllvRfX3zxxUiOSZk9e3b67wMHDowTTzxx8RPjd955Z5x++umL37vffvvFnnvumf77u+++m55h/txz//7b09VXXz3OPffc9EevZQsIyO0MAtkLCMizN1WRQCIgILcPCOQjICDPx1XVegsIyBs3/3fmLojdRo+Pp6a8Hd/ccPW4bN8vN65Aza6+48lp8dMbJ8b0t9+P/mt1i5FD+sVW/VarhYKAvBZjtkgCnypQmYC8IXOeNm1a+uGbXbt2XeryJHx67bXXokePHsv8oK7kqJbkLMXVVqvHbxAN8fykawTkzdHzXgLLFhCQ2xkE8hEQkOfjqioBAbk9QCB7AQF5402fn/Fu7D56Qrz+7vuxz6A+cfJOX2x8kRq849d3Phfn3PHvDzfdecBacfT2G0bPbp1qsPJ/L1FAXptRWyiBTxSoVUBuH7SMgIC8ZZzdpV4CAvJ6zdtqW05AQN5y1u5ULwEBeb3mbbUtIyAgb5rz+BdmxvCLJqRvPvpbG8Yh31ivaYUq+K6ps+amR6rc9sTUaN+ubYzYdoM4bOv1K7jST1+SgLx2I7dgAksJCMhtiswFBOSZkypIIATkNgGBfAQE5Pm4qkpAQG4PEMheQEDedNOb//FaHPE/j6YFfj18QAzdeM2mF6vIO+95dkYcd8PEePXNOfH5NVaMkYP7xrYb9ajI6hq3DAF547xcTaCKAgLyKk61ldckIG/lAbh9JQUE5JUcq0UVQEBAXoAhaKGSAgLySo7VolpZQEDevAFccu8LccotT6VFxhzytdi0z8rNK1jid19wz/Nxxtin0xX8v43XjKO26xe9u3cp8Yqa17qAvHl+3k2gCgIC8ipMsWBrEJAXbCDaqYSAgLwSY7SIAgoIyAs4FC1VQkBAXokxWkTBBATkzR/Iabc+FRf99YXo2L5t/HXU1rU6ZzvRmzl7Xpxw0+Pxp8emRJuIGDG4bxyxzQbNhy15BQF5yQeofQIZCAjIM0BUYkkBAbkdQSB7AQF59qYqEkgEBOT2AYF8BATk+biqWm8BAXk28z/y6n/EjY++Gmut1DnuP+ab2RQtQZUHnp+ZHqky+fXZscHqXePHQ/rGt764Rgk6z79FAXn+xu5AoOgCAvKiT6iE/QnISzg0LRdeQEBe+BFpsKQCAvKSDk7bhRcQkBd+RBosoYCAPLuh7XXJg3H/pNfjP3qvFDcetnl2hQta6ZL7XoxT/vRk2t23+q8Ro4b0i3VXW76g3bZ8WwLyljd3RwJFExCQF20iFehHQF6BIVpC4QQE5IUbiYYqIiAgr8ggLaNwAgLywo1EQxUQEJBnN8S33psfw0Y/EM9Neze+3X+N+O1em2RXvECV3pm7IH520+Nxw6Ovpl0lx6n8eHDfAnVYjFYE5MWYgy4ItKaAgLw19St6bwF5RQdrWa0qICBvVX43r7CAgLzCw7W0VhUQkLcqv5tXVEBAnu1gn532Tuw+ekK8+d68OHDLdeOnO3w+2xu0crWHJ7+RHqmS/CXAOqsun543PnTjNVu5q2LeXkBezLnoikBLCgjIW1K7JvcSkNdk0JbZogIC8hbldrMaCQjIazRsS21RAQF5i3K7WU0EBOTZD/q+Sa/H3pc8mBY+cegXYt+vfS77m7RCxSvGT44TbnoivfOQjXrEyCH9ol/PFVqhk3LcUkBejjnpkkCeAgLyPHVrWltAXtPBW3auAgLyXHkVr7GAgLzGw7f0XAUE5LnyKl5TAQF5PoNPjh8ZcfU/0uIXf2+zGLxRj3xu1AJV587/IH520xNxzd9eSe926FbrxVHbb9gCdy73LQTk5Z6f7glkISAgz0JRjSUEBOQ2BIHsBQTk2ZuqSCAREJDbBwTyERCQ5+Oqar0FBOT5zX/0Pc/Hf499Or3BrUdsERutuWJ+N8up8j9feSuOvWFiPPna29G7e5cYsW3f+O4ma+V0t2qVFZBXa55WQ6ApAgLypqh5z6cKCMhtEALZCwjIszdVkYCA3B4gkJ+AgDw/W5XrKyAgz3f2J//pybj0vhejS8d2Mf7YbaJb5w753jDD6lc99HIcd/3EtOI3N1w9/SDOL67VLcM7VLuUgLza87U6Ag0REJA3RMk1jRIQkDeKy8UEGiQgIG8Qk4sINFrAE+SNJvMGAg0SEJA3iMlFBBolICBvFFeTLj78j4/G//7zteizSpe4Z9TWTarRkm/64MOF6ZEqVz74Unrbg7ZcN0Zt1y86tGvbkm2U/l4C8tKP0AIINFtAQN5sQgU+LiAgtycIZC8gIM/eVEUCiYCA3D4gkI+AgDwfV1XrLSAgb5n5737RhHjwhZnx1XVXiT8eNKhlbtqEuzw55e049vqJkRytska3zjFi8Aax22a9m1DJWwTk9gABAgJyeyBzAQF55qQKEggBuU1AIB8BAXk+rqoSEJDbAwSyFxCQZ2+6rIoz350Xw0Y/EC/MmB27bNorfjFs45a5cSPuct0j/4pjxjwWCz5cGFv2XS09b3zA2is1ooJLPyogILcfCBAQkNsDmQsIyDMnVZCAgNweIJCTgIA8J1hlay8gIK/9FgCQg4CAPAfUTyj51JS3Y7fR4+OduQviiG02SM/0LsrrxJufiMsfmJy2s//X14lRQ/pF547titJeKfsQkJdybJomkKmAgDxTTsUSAQG5fUAgewFPkGdvqiKBREBAbh8QyEdAQJ6Pq6r1FhCQt+z873l2Rnz/sofSm56xy5di9y+37vElk6a/G8dc/1j8bfKbsfoKy8WIwX1j+MC1WxaloncTkFd0sJZFoBECAvJGYLm0YQIC8oY5uYpAYwQE5I3Rci2BhgsIyBtu5UoCjREQkDdGy7UEGiYgIG+YU5ZXXfvIv2LUtf9MS/7hB1+Jr6+/apblG1zrxn+8GseOmRhz5n8QX1tvlTQc//Lnujf4/S78dAEBuR1CgICA3B7IXEBAnjmpggQcsWIPEMhJQECeE6yytRcQkNd+CwDIQUBAngNqA0qef9ekOPO2Z9Ir7/rJVrHOqss34F3ZXXLqLU/Fxfe+kBb83lc/Fz8Z0jdW7NwhuxuoFAJym4AAAQG5PZC5gIA8c1IFCQjI7QECOQkIyHOCVbb2AgLy2m8BADkICMhzQG1gyUXnfifB9N9+um10bN+2ge9s+mUvzXwvPVJl/PMzo/vyHdMP4tznq32aXtA7P1FAQG5zECAgILcHMhcQkGdOqiABAbk9QCAnAQF5TrDK1l5AQF77LQAgBwEBeQ6ojSh56JV/j1snTom+PVaI20ds2Yh3Nv7S5D7HjJkYb8+dHwPX6Z6G419db5XGF/KOBgkIyBvE5CIClRYQkFd6vK2zOAF567i7a7UFnEFe7flaXesJCMhbz96dqy0gIK/2fK2udQQE5K3jvuiuCyNi2IXj42+T34itN1w9frfvl3Np6Mw/Px3n3/18WnvPr6wdIwf3i1W6dszlXor+W0BAbicQICAgtwcyFxCQZ06qIAFPkNsDBHISEJDnBKts7QUE5LXfAgByEBCQ54DayJLT334/ho1+IJLjT/Ye1CdO2emLjazwyZe/9tacOOb6ifHXZ2fEip06xIjBG8R+m6+TWX2FPllAQG53ECAgILcHMhcQkGdOqiABAbk9QCAnAQF5TrDK1l5AQF77LQAgBwEBeQ6oTSj5+KuzYtjo8TFn3gdx9PYbxiFbrdeEKku+5Y4np8UxYx6LmbPnxSZ9Vk6PVNlig1WbXVeBhgkIyBvm5CoCVRYQkFd5uq20NgF5K8G7baUFHLFS6fFaXCsKCMhbEd+tKy0gIK/0eC2ulQQE5K0Ev4zbjnt6eux/+cPpr/x6+IAYuvGaTW7u3DuejV/d+Vz6/t2/3DsNx3t269Tket7YeAEBeePNvINA1QQE5FWbaAHWIyAvwBC0UDkBAXnlRmpBBREQkBdkENqonICAvHIjtaACCAjICzCEj7TwPw+/kj71nbzGHPK12LTPyo1qcMY776dHqtz51LTo0rFdjBjcNw7cYt1G1XBxNgIC8mwcVSFQZgEBeZmnV9DeBeQFHYy2Si0gIC/1+DRfYAEBeYGHo7VSCwjISz0+zRdUQEBevMGcN+65+MXtz6aNjT92m1ijgU9+3/3M9DQcnzprbnypV7c0HN+63+rFW2BNOhKQ12TQlkngUwQE5LZH5gIC8sxJFSTgDHJ7gEBOAgLynGCVrb2AgLz2WwBADgIC8hxQMyj5Xzc+Hr+f8FKs2nW5+Nvx235mxd+MmxRn3/5Met0um/RKw/FeK3f+zPe5ID8BAXl+tioTKIuAgLwskypRnwLyEg1Lq6UR8AR5aUal0ZIJCMhLNjDtlkZAQF6aUWm0RAIC8uIO6z9//0jc9sTU2Lj3SnHTYZsvs9G33psfx17/WIx9fGp0bN82PWs8iw/4LK5KeToTkJdnVjolkJeAgDwv2RrXFZDXePiWnpuAgDw3WoVrLiAgr/kGsPzcBATkudEqXGMBAXlxh7/gw4Ux7MIH4tGX34od+q8R5++1yRLN3j/p9fRIlVfeeC++sOaKaTi+7UY9irugmnUmIK/ZwC2XwDIEBOS2ReYCAvLMSRUk4IgVe4BATgIC8pxgla29gIC89lsAQA4CAvIcUDMsOWXWnNj1wvHx6ptzol+PFaJ7146xcpeO0alDu7j+7/9K77Tjf6yZhuOfW3X5DO+sVHMFBOTNFfR+AuUXEJCXf4aFW4GAvHAj0VAFBDxBXoEhWkIhBQTkhRyLpiogICCvwBAtoXACAvLCjWSphu5/7vXY69IHl/r5Nm3axI8H943Dv7l+8RdRww4F5DUcuiUT+JiAgNyWyFxAQJ45qYIEPEFuDxDISUBAnhOssrUXEJDXfgsAyEFAQJ4DasYl//TYlPjhVX9fquq2n+8Rl3x/s4zvplxWAgLyrCTVIVBeAQF5eWdX2M4F5IUdjcZKLOAJ8hIPT+uFFhCQF3o8miuxgIC8xMPTemEFBOSFHc3ixq5++JU4esxjSzU6fODa8d/f7V/8BdS0QwF5TQdv2QQ+IiAgtx0yFxCQZ06qIAFPkNsDBHISEJDnBKts7QUE5LXfAgByEBCQ54CaccmHJ78Rwy4cv1TV47+zUfzg6+tkfDflshIQkGclqQ6B8goIyMs7u8J2LiAv7Gg0VmIBT5CXeHhaL7SAgLzQ49FciQUE5CUentYLKyAgL+xolmjsuBsmxlUPvrz45zZff9X4/QEDo22bNuVYQA27FJDXcOiWTOBjAgJyWyJzAQF55qQKEvAEuT1AICcBAXlOsMrWXkBAXvstACAHAQF5Dqg5lZz8+uyYMmtudOvSITZaY8Wc7qJsVgIC8qwk1SFQXgEBeXlnV9jOBeSFHY3GSizgCfISD0/rhRYQkBd6PJorsYCAvMTD03phBQTkhR2NxkouICAv+QC1TyADAQF5BohKLCkgILcjCGQvICDP3lRFAomAgNw+IJCPgIA8H1dV6y0gIK/3/K0+PwEBeX62KhMoi4CAvCyTKlGfAvISDUurpREQkJdmVBotmYCAvGQD025pBATkpRmVRkskICAv0bC0WioBAXmpxqVZArkICMhzYa13UQF5vedv9fkICMjzcVWVgIDcHiCQj4CAPB9XVestICCv9/ytPj8BAXl+tioTKIuAgLwskypRnwLyEg1Lq6UREJCXZlQaLZmAgLxkA9NuaQQE5KUZlUZLJCAgL9GwtFoqAQF5qcalWQK5CAjIc2Gtd1EBeb3nb/X5CAjI83FVlYCA3B4gkI+AgDwfV1XrLSAgr/f8rT4/AQF5frYqEyiLgIC8LJMqUZ8C8hINS6ulERBrBhhgAAAO+UlEQVSQl2ZUGi2ZgIC8ZAPTbmkEBOSlGZVGSyQgIC/RsLRaKgEBeanGpVkCuQgIyHNhrXdRAXm952/1+QgIyPNxVZWAgNweIJCPgIA8H1dV6y0gIK/3/K0+PwEBeX62KhMoi4CAvCyTKlGfAvISDUurpREQkJdmVBotmYCAvGQD025pBATkpRmVRkskICAv0bC0WioBAXmpxqVZArkICMhzYa130YULF6YAbdq0qTeE1RMgQIAAAQIECBAgQIAAAQIECBAgUGgBAXmhx6M5AgQIECBAgAABAgQIECBAgAABAgQIEMhLQECel6y6BAgQIECAAAECBAgQIECAAAECBAgQIFBoAQF5ocdTzuZmzJgRXbt2jc6dO5dzAbomUDCB5NiimTNnRocOHaJbt24F6047BAgQIEBg2QLJ713Ja5VVVkFEgEAGAgsWLEi/JuzRo0cG1ZQgUF+B5M9XyZn+7du3XyaCTKO+e8PK6ysgIK/v7DNf+eTJk2PkyJGRfChT8ho0aFCccMIJn/ibTuYNKEigggIPPPBAnHTSSekXcMmrd+/eMWLEiOjfv38FV2tJBFpH4JxzzomxY8fGmDFjYsUVV2ydJtyVQEUEktDhoosuiptvvjnmzZsX7dq1iz//+c8VWZ1lEGgdgeTrwNNOOy0mTJiQNtCpU6fYb7/94jvf+U7rNOSuBEoukPwedckll6S/V330JdMo+WC1T6AZAgLyZuB565ICBx98cHTp0iVOPfXUmDJlShx66KHpP0OHDkVFgEATBZI/CE2bNi222mqrmDt3bpx88snx4Ycfxvnnn9/Eit5GgMBHBa6//vq44IIL0p8SkNsbBJovcPbZZ8ddd90Vw4cPjx122CENyXv27Nn8wioQqLHAtddeG5deemlcddVV0b1790h+70r+Iir5MfnzlxcBAg0TeOmll+JHP/pRzJ49O/2O948H5DKNhjm6ikAVBQTkVZxqK6xp1qxZseuuu8YZZ5wRm2yySdrBKaeckgZ75513Xit05JYEqilw0003xW9+85v0abzkqTwvAgSaLvDQQw/Fz372szjiiCPi3HPPFZA3ndI7CaQCybek77nnnpEEDLvssgsVAgQyEki+9vvLX/4SV199dSy33HKRPOV64IEHxu9+97vo1atXRndRhkD1BZJjil5//fX0v6drrrlmiYBcplH9+VshgU8TEJDbH5kITJo0KQ455JD0qYbVVlstrXnFFVfEbbfdlv6cFwEC2Qgcc8wx8fLLL/vvKhtOVWoskIQLSYh3/PHHp2e5Jt/x5AnyGm8IS89E4I477ogzzzwzttxyy3jhhRfSz85IniLfaaedMqmvCIG6CiS/Zx122GHp5zx9//vfT/+MlTz9evrpp9eVxLoJNEvg1ltvjQsvvHCJgFym0SxSbyZQegEBeelHWIwFPProo3HUUUfFddddt/hDBJMnHK688sqlvm2pGB3rgkD5BJJvAUy+I+PEE0+MzTffvHwL0DGBggi89dZbse+++8awYcNir732iueee05AXpDZaKPcAn/4wx/SByR23nnn6NevXzzzzDNxww03pN/O7qzkcs9W960rMGfOnEgekkh+nDp1avpj8mevwYMHt25j7k6gpALLCshlGiUdprYJZCQgIM8Isu5l/G1r3XeA9ectcN9998XPf/7zOOCAA2KPPfbI+3bqE6i0QPKBnMkHc26zzTbRpk2bePPNN+ORRx6JLbbYIj0W4gtf+EKl129xBPISSALy5Ciw5LzkRa8k1Es+Q+OXv/xlXrdVl0DlBZLfsx5//PH0HPLkg3Avv/zy+OMf/xi//e1vo2/fvpVfvwUSyFrAE+RZi6pHoPwCAvLyz7AQK1h0XlfybbUDBgxIe0o+THD69OnOIC/EhDRRZoFFYV5yjNF3v/vdMi9F7wQKIZD8pe6dd965uJfkLMq77747fcL129/+dqy//vqF6FMTBMomkHw452mnnRbJ71vt27dP2x81alT6tGtyhrIXAQJNE0i+26l///7pU+TJKwnJhwwZEvvvv3/6gbheBAg0TmBZAblMo3GGriZQNQEBedUm2orrOeigg2KFFVZIP5wz+da/JMxL/tlxxx1bsSu3JlBugRtvvDF9OmjvvfdOn3Zd9OrevXt06dKl3IvTPYGCCDhipSCD0EbpBd5+++3Ybbfd0r9oSs5Lfuyxx9KAPDnSKAn4vAgQaJpAcrzeww8/HBdccEH07t07br/99jj77LN9SGfTOL2rxgLJXy4lH9SZBOTJd2Qknz/Ttm3baNeuXaoi06jx5rD02gsIyGu/BbIDePHFF2PEiBExe/bstOjAgQPTs5KTD2jyIkCgaQInnXRS3HvvvUu9OflwweQoCC8CBJovICBvvqEKBBYJ3H///el3EX7wwQfpT33jG9+IY489dnH4QIoAgcYLJEeB/epXv4oJEyakb04elEiO3Bs6dGjji3kHgRoLLPqa76MEm2666eIPvJVp1HhzWHrtBQTktd8C2QNMmzYtll9++fRT1r0IECBAgAABAgTqJZCE41OmTElDPN/tVK/ZW22+AsmTr8mxYD179sz3RqoTqLmATKPmG8DyaykgIK/l2C2aAAECBAgQIECAAAECBAgQIECAAAECBATk9gABAgQIECBAgAABAgQIECBAgAABAgQI1FJAQF7LsVs0AQIECBAgQIAAAQIECBAgQIAAAQIECAjI7QECBAgQIECAAAECBAgQIECAAAECBAgQqKWAgLyWY7doAgQIECBAgAABAgQIECBAgAABAgQIEBCQ2wMECBAgQIAAAQIECBAgQIAAAQIECBAgUEsBAXktx27RBAgQIECAAAECBAgQIECAAAECBAgQICAgtwcIECBAgAABAgQIECBAgAABAgQIECBAoJYCAvJajt2iCRAgQIAAAQIECBAgQIAAAQIECBAgQEBAbg8QIECAAAECBAgQIECAAAECBAgQIECAQC0FBOS1HLtFEyBAgAABAgQIECBAgAABAgQIECBAgICA3B4gQIAAAQIECBAgQIAAAQIECBAgQIAAgVoKCMhrOXaLJkCAAAECBAgQIECAAAECBAgQIECAAAEBuT1AgAABAgQIECBAgAABAgQIECBAgAABArUUEJDXcuwWTYAAAQIECBAgQIAAAQIECBAgQIAAAQICcnuAAAECBAgQIECAAAECBAgQIECAAAECBGopICCv5dgtmgABAgQIECBAgAABAgQIECBAgAABAgQE5PYAAQIECBAgQIAAAQIECBAgQIAAAQIECNRSQEBey7FbNAECBAgQIECAAAECBAgQIECAAAECBAgIyO0BAgQIECBAgAABAgQIECBAgAABAgQIEKilgIC8lmO3aAIECBAgQIAAAQIECBAgQIAAAQIECBAQkNsDBAgQIECAAAECBAgQIECAAAECBAgQIFBLAQF5Lcdu0QQIECBAgAABAgQIECBAgAABAgQIECAgILcHCBAgQIAAAQIECBAgQIAAAQIECBAgQKCWAgLyWo7dogkQIECAAAECBAgQIECAAAECBAgQIEBAQG4PECBAgAABAgQIECBAgAABAgQIECBAgEAtBQTktRy7RRMgQIAAAQIECBAgQIAAAQIECBAgQICAgNweIECAAAECBAgQIECAAAECBAgQIECAAIFaCgjIazl2iyZAgAABAgQIECBAgAABAgQIECBAgAABAbk9QIAAAQIECBAgQIAAAQIECBAgQIAAAQK1FBCQ13LsFk2AAAECBAgQIECAAAECBAgQIECAAAECAnJ7gAABAgQIECBAgAABAgQIECBAgAABAgRqKSAgr+XYLZoAAQIECBAgQIAAAQIECBAgQIAAAQIEBOT2AAECBAgQIECAAAECBAgQIECAAAECBAjUUkBAXsuxWzQBAgQIECBAgAABAgQIECBAgAABAgQICMjtAQIECBAgQIAAAQIECBAgQIAAAQIECBCopYCAvJZjt2gCBAgQIECAAAECBAgQIECAAAECBAgQEJDbAwQIECBAgAABAgQIECBAgAABAgQIECBQSwEBeS3HbtEECBAgQIAAAQIECBAgQIAAAQIECBAgICC3BwgQIECAAAECBAgQIECAAAECBAgQIECglgIC8lqO3aIJECBAgAABAgQIECBAgAABAgQIECBAQEBuDxAgQIAAAQIECBAgQIAAAQIECBAgQIBALQUE5LUcu0UTIECAAAECBAgQIECAAAECBAgQIECAgIDcHiBAgAABAgQIECBAgAABAgQIECBAgACBWgoIyGs5dosmQIAAAQIECBAgQIAAAQIECBAgQIAAAQG5PUCAAAECBAgQIECAAAECBAgQIECAAAECtRQQkNdy7BZNgAABAgQIECBAgAABAgQIECBAgAABAgJye4AAAQIECBAgQIAAAQIECBAgQIAAAQIEaikgIK/l2C2aAAECBAgQIECAAAECBAgQIECAAAECBATk9gABAgQIECBAgAABAgQIECBAgAABAgQI1FJAQF7LsVs0AQIECBAgQIAAAQIECBAgQIAAAQIECAjI7QECBAgQIECAAAECBAgQIECAAAECBAgQqKWAgLyWY7doAgQIECBAgAABAgQIECBAgAABAgQIEBCQ2wMECBAgQIAAAQIECBAgQIAAAQIECBAgUEsBAXktx27RBAgQIECAAAECBAgQIECAAAECBAgQICAgtwcIECBAgAABAgQIECBAgAABAgQIECBAoJYCAvJajt2iCRAgQIAAAQIECBAgQIAAAQIECBAgQEBAbg8QIECAAAECBAgQIECAAAECBAgQIECAQC0FBOS1HLtFEyBAgAABAgQIECBAgAABAgQIECBAgICA3B4gQIAAAQIECBAgQIAAAQIECBAgQIAAgVoKCMhrOXaLJkCAAAECBAgQIECAAAECBAgQIECAAAEBuT1AgAABAgQIECBAgAABAgQIECBAgAABArUUEJDXcuwWTYAAAQIECBAgQIAAAQIECBAgQIAAAQICcnuAAAECBAgQIECAAAECBAgQIECAAAECBGopICCv5dgtmgABAgQIECBAgAABAgQIECBAgAABAgQE5PYAAQIECBAgQIAAAQIECBAgQIAAAQIECNRS4P8ADs7JaxAisvgAAAAASUVORK5CYII=" 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" }, "execution_count": 12, "metadata": {}, diff --git a/src/config.ts b/src/config.ts index c3d7ed173..cd7a527de 100644 --- a/src/config.ts +++ b/src/config.ts @@ -16,7 +16,7 @@ let config = { database: process.env.CLICKHOUSE_DATABASE ?? 'opensource', }, neo4j: { - host: process.env.NEO4J_HOST ?? 'neo4j://localhost', + url: process.env.NEO4J_HOST ?? 'neo4j://localhost', } }, oss: { diff --git a/src/cron/index.ts b/src/cron/index.ts index b7a4a0025..b28515ec9 100644 --- a/src/cron/index.ts +++ b/src/cron/index.ts @@ -1,6 +1,7 @@ import { existsSync, readdirSync } from 'fs'; import { join } from 'path'; import cron from 'node-cron'; +import { getLogger } from '../utils'; export interface Task { cron: string; @@ -10,9 +11,11 @@ export interface Task { } (async () => { + const logger = getLogger('TaskRunner'); + const taskDir = join(__dirname, './tasks'); if (!existsSync(taskDir)) { - console.log('Task dir not exists.'); + logger.info('Task dir not exists.'); return; } @@ -21,30 +24,30 @@ export interface Task { const p = join(taskDir, taskFile); const task: Task = await import(p); if (!task.cron || !task.callback) { - console.log(`Task in ${taskFile} is not a valid task.`); + logger.error(`Task in ${taskFile} is not a valid task.`); return; } if (task.enable) { - console.log(`Enable task: ${taskFile}`); + logger.info(`Enable task: ${taskFile}`); cron.schedule(task.cron, t => { return new Promise(async resolve => { try { - console.log(`Start to run task for ${taskFile}`); + logger.info(`Start to run task for ${taskFile}`); await task.callback(t); - console.log(`Task ${taskFile} finished.`); + logger.info(`Task ${taskFile} finished.`); } catch (e) { - console.log(e); + logger.error(e); } resolve(); }); }); if (task.immediate) { try { - console.log(`Start to run task for ${taskFile}`); + logger.info(`Start to run task for ${taskFile}`); await task.callback(new Date()); - console.log(`Task ${taskFile} finished.`); + logger.info(`Task ${taskFile} finished.`); } catch (e) { - console.log(e); + logger.error(e); } } } diff --git a/src/cron/tasks/global_openrank.ts b/src/cron/tasks/global_openrank.ts new file mode 100644 index 000000000..f61c36505 --- /dev/null +++ b/src/cron/tasks/global_openrank.ts @@ -0,0 +1,286 @@ +import { Task } from '..'; +import * as clickhouse from '../../db/clickhouse'; +import * as neo4j from '../../db/neo4j'; +import { getPlatformData } from '../../label_data_utils'; +import { forEveryMonth } from '../../metrics/basic'; +import { basicActivitySqlComponent } from '../../metrics/indices'; +import { getLogger } from '../../utils'; + +const task: Task = { + cron: '0 0 12 1 * *', + enable: false, + immediate: false, + callback: async () => { + const logger = getLogger('GloablOpenRankTask'); + + const globalOpenrankTableName = 'global_openrank'; + const userRententionFactor = 0.5; + const repoRententionFactor = 0.3; + const backgroundRententionFactor = 0; + const openrankRepoDefaultValue = 1; + const openrankUserDefaultValue = 1; + const openrankBackgroundDefaultValue = 0; + const openrankAttenuationFactor = 0.85; + const openrankMinValue = 1; + + const createTable = async () => { + const sql = `CREATE TABLE IF NOT EXISTS ${globalOpenrankTableName} + ( + \`platform\` Enum('GitHub' = 1, 'Gitee' = 2, 'AtomGit' = 3, 'GitLab.com' = 4, 'Gitea' = 5, 'GitLab.cn' = 6), + \`repo_id\` UInt64, + \`repo_name\` LowCardinality(String), + \`actor_id\` UInt64, + \`actor_login\` LowCardinality(String), + \`org_id\` UInt64, + \`org_login\` LowCardinality(String), + \`type\` Enum('Repo' = 1, 'User' = 2), + \`legacy\` UInt8, + \`created_at\` DateTime, + \`openrank\` Float + ) + ENGINE = MergeTree + ORDER BY (repo_id, actor_id, org_id, platform, created_at) + SETTINGS index_granularity = 8192`; + await clickhouse.query(sql); + }; + + const calcualteForMonth = async (year: number, month: number) => { + const yyyymm = year.toString() + month.toString().padStart(2, '0'); + try { + // check if the openrank of the month has been calculated + const checkSql = `SELECT COUNT() FROM ${globalOpenrankTableName} WHERE toYYYYMM(created_at) = ${yyyymm}`; + const checkResult = await clickhouse.query(checkSql); + if (!Array.isArray(checkResult) || checkResult.length !== 1 || + !Array.isArray(checkResult[0]) || checkResult[0].length !== 1) { + throw new Error(`Check global_openrank table failed for ${yyyymm}, result=${checkResult}`); + } + if (parseInt(checkResult[0][0]) > 0) { + logger.info(`Results of global openrank for ${yyyymm} already exists, skip.`); + return; + } + logger.info(`Start to calculate the global_openrank table for ${yyyymm}.`); + + // load last month openrank + const lastMonthOpenrank = new Map(); + // const date = new Date(year, month - 1, 1); + const lastMonth = new Date(year, month - 2, 1); + const loadLastMonthSql = `SELECT actor_id, actor_login, repo_id, repo_name, org_id, org_login, platform, type, openrank FROM global_openrank WHERE toYYYYMM(created_at) = ${lastMonth.getFullYear()}${(lastMonth.getMonth() + 1).toString().padStart(2, '0')}`; + const loadLastMonthResult = await clickhouse.query(loadLastMonthSql); + if (!Array.isArray(loadLastMonthResult)) { + throw new Error(`Load last month openrank failed for ${yyyymm}, result=${loadLastMonthResult}`); + } + if (loadLastMonthResult.length > 0) { + for (const row of loadLastMonthResult) { + if (Array.isArray(row) && row.length === 9) { + const [actorId, actorLogin, repoId, repoName, orgId, orgLogin, platform, type, openrank] = row; + const key = `${type}_${platform}_${type === 'Repo' ? repoId : actorId}`; + if (lastMonthOpenrank.has(key)) { + logger.error(`Duplicate key ${key} in last month openrank.`); + } + lastMonthOpenrank.set(key, { + info: { + actor_login: actorLogin, + repo_name: repoName, + org_id: orgId, + org_login: orgLogin, + }, openrank: parseFloat(openrank) + }); + } else { + logger.error(`Someting wrong with last month openrank row: ${JSON.stringify(row)}`); + } + } + } + logger.info(`Load ${lastMonthOpenrank.size} last month openrank.`); + + // load activity data + const botLabelData = getPlatformData([':bot']); + const loadActivitySql = ` + SELECT + platform, + repo_id, + argMax(repo_name, created_at) AS repo_name, + argMax(org_id, created_at) AS org_id, + argMax(org_login, created_at) AS org_login, + ${basicActivitySqlComponent}, + MAX(created_at) AS max_created_at + FROM events + WHERE + toYYYYMM(created_at)=${yyyymm} + AND type IN ( + 'IssuesEvent', + 'IssueCommentEvent', + 'PullRequestEvent', + 'PullRequestReviewCommentEvent' + ) + AND ${botLabelData.map(p => { + if (!p.users || p.users.length === 0) return null; + return `(NOT (platform='${p.name}' AND actor_id IN (${p.users.map(u => u.id).join(',')})))`; + }).filter(p => p).join(' AND ')} + GROUP BY repo_id, actor_id, platform + HAVING activity > 0 AND actor_login NOT LIKE '%[bot]'`; + const nodeMap = new Map(); + const activityMap = new Map(); + const rows: { rId: string; uId: string; activity: number }[] = []; + await clickhouse.queryStream(loadActivitySql, async row => { + if (!Array.isArray(row) || row.length !== 14) { + throw new Error(`Load activity data failed for ${yyyymm}, row=${row}`); + } + const platform = row[0]; + const repoId = row[1]; + const repoName = row[2]; + const orgId = row[3]; + const orgLogin = row[4]; + const userId = row[5]; + const userLogin = row[6]; + const activity = row[12] * row[12]; + const createdAt = new Date(row[13]); + const rId = `Repo_${platform}_${repoId}`; + const uId = `User_${platform}_${userId}`; + if (!nodeMap.has(rId) || nodeMap.get(rId)!.createdAt < createdAt) { + nodeMap.set(rId, { + info: { + repo_name: repoName, + org_id: orgId, + org_login: orgLogin, + }, createdAt + }); + } + if (!nodeMap.has(uId) || nodeMap.get(uId)!.createdAt < createdAt) { + nodeMap.set(uId, { info: { actor_login: userLogin }, createdAt }); + } + activityMap.set(rId, (activityMap.get(rId) ?? 0) + activity); + activityMap.set(uId, (activityMap.get(uId) ?? 0) + activity); + rows.push({ rId, uId, activity }); + }); + const bgId = 'Background_GitHub_0'; + nodeMap.set(bgId, { info: {}, createdAt: new Date() }); + const nodeIds = Array.from(nodeMap.keys()); + const nodeIndexMap = new Map(nodeIds.map((n, index) => [n, index])); + const nodes = nodeIds.map((n, index) => ({ + id: index, + i: lastMonthOpenrank.get(n)?.openrank ?? + (n === bgId ? openrankBackgroundDefaultValue : + (n.startsWith('Repo') ? openrankRepoDefaultValue : openrankUserDefaultValue)), + r: n === bgId ? backgroundRententionFactor : + (n.startsWith('Repo') ? repoRententionFactor : userRententionFactor), + })); + const relationships: { s: number; t: number; w: number; }[] = []; + for (const row of rows) { + const { rId, uId, activity } = row; + const rIndex = nodeIndexMap.get(rId); + const uIndex = nodeIndexMap.get(uId); + if (rIndex === undefined || uIndex === undefined) { + throw new Error(`Can not find node index for ${rId} or ${uId}`); + } + relationships.push({ s: rIndex, t: uIndex, w: 0.95 * activity / activityMap.get(rId)! }); + relationships.push({ s: uIndex, t: rIndex, w: 0.95 * activity / activityMap.get(uId)! }); + } + nodeIds.forEach(n => { + // add background relationships + if (n === bgId) return; + if (!nodeIndexMap.has(n) || !nodeIndexMap.has(bgId)) { + throw new Error(`Node ${n} or ${bgId} not exist`); + } + relationships.push({ s: nodeIndexMap.get(n)!, t: nodeIndexMap.get(bgId)!, w: 0.05 }); + relationships.push({ s: nodeIndexMap.get(bgId)!, t: nodeIndexMap.get(n)!, w: 1 / (nodeIds.length - 1) }); + }); + logger.info(`Calculate ${nodes.length} nodes and ${relationships.length} relationships.`); + + // check relationships + const nodeWeightMap = new Map(); + relationships.forEach(r => nodeWeightMap.set(r.s, (nodeWeightMap.get(r.s) ?? 0) + r.w)); + for (const [nodeIndex, weight] of nodeWeightMap) { + if (weight > 1.01 || weight < 0.99) { + throw new Error(`Relationships weight error, node=${nodeIds[nodeIndex]}, weight=${weight}`); + } + } + + // calculate openrank + const graphName = `global_openrank_${yyyymm}`; + await neo4j.query('CALL gds.graph.drop($graphName, false)', { graphName }); + const cypher = 'CALL gds.graph.project.cypher($graphName, $nodesQuery, $relsQuery, { parameters: { nodes: $nodes, rels: $rels}});'; + await neo4j.query(cypher, { + graphName, + nodesQuery: 'UNWIND $nodes AS n RETURN n.id AS id, n.i AS initValue, n.r AS retentionFactor', + relsQuery: 'UNWIND $rels AS r RETURN r.s AS source, r.t AS target, r.w AS weight', + nodes, + rels: relationships, + }); + logger.info(`Create graph ${graphName} done.`); + const openrankResult = new Map(); + await neo4j.queryStream(`CALL xlab.pregel.openrank.stream('${graphName}',{ + initValueProperty:'initValue', + retentionFactorProperty:'retentionFactor', + relationshipWeightProperty:'weight', + tolerance:0.01, + maxIterations:100, + writeProperty:'' + }) YIELD nodeId AS i, values AS v RETURN i, v.open_rank AS o`, + async row => { + const { i, o } = row; + const id = nodeIds[i]; + if (openrankResult.has(id)) { + logger.error(`Duplicate openrank result for ${i}:${id}`); + } + openrankResult.set(id, o); + }); + await neo4j.query('CALL gds.graph.drop($graphName, false)', { graphName }); + logger.info(`Calculate for ${yyyymm} openrank results done, ${openrankResult.size} nodes retruned.`); + + // write back to clickhouse + const backgroundOpenrank = openrankResult.get(bgId)!; + const additionalOpenrank = backgroundOpenrank / (nodeIds.length - 1); + await clickhouse.insertRecords(Array.from(openrankResult.entries()).map(r => { + const [type, platform, id] = r[0].split('_'); + if (type === 'Background') return null; + return { + repo_id: type === 'Repo' ? +id : 0, + actor_id: type === 'User' ? +id : 0, + ...nodeMap.get(r[0])!.info, + platform, + type, + legacy: 0, + created_at: `${year}-${month.toString().padStart(2, '0')}-01 00:00:00`, + openrank: r[1] + additionalOpenrank, + }; + }).filter(r => r), globalOpenrankTableName); + logger.info(`Insert openrank result for ${yyyymm} done.`); + + // openrank decrease for not active nodes + const insertLegacyNodes: any[] = []; + for (const [id, data] of lastMonthOpenrank) { + if (!openrankResult.has(id) && data.openrank > openrankMinValue) { + // not active in this month and openrank greater than min value + const [type, platform, _id] = id.split('_'); + insertLegacyNodes.push({ + repo_id: type === 'Repo' ? +_id : 0, + actor_id: type === 'User' ? +_id : 0, + ...data.info, + platform, + type, + legacy: 1, + created_at: `${year}-${month.toString().padStart(2, '0')}-01 00:00:00`, + openrank: data.openrank * openrankAttenuationFactor, + }); + } + } + if (insertLegacyNodes.length > 0) { + logger.info(`Gonna insert ${insertLegacyNodes.length} legacy nodes for ${yyyymm}.`); + await clickhouse.insertRecords(insertLegacyNodes, globalOpenrankTableName); + } + } catch (e: any) { + logger.error(`Error on calculating global openrank for ${yyyymm}, err=${e.message}`); + process.exit(-1); + } + }; + + // start process + await createTable(); + const now = new Date(); + now.setMonth(now.getMonth() - 1); + await forEveryMonth(2015, 1, now.getFullYear(), now.getMonth() + 1, calcualteForMonth); + + }, +}; + +module.exports = task; diff --git a/src/cron/tasks/issue_reaction_importer.ts b/src/cron/tasks/issue_reaction_importer.ts index e0dc80580..85debad1b 100644 --- a/src/cron/tasks/issue_reaction_importer.ts +++ b/src/cron/tasks/issue_reaction_importer.ts @@ -1,11 +1,10 @@ import { Task } from '..'; import getConfig from '../../config'; -import { Readable } from 'stream'; -import { createClient } from '@clickhouse/client'; import { readFileSync } from 'fs'; import { Octokit } from '@octokit/rest'; import { App } from '@octokit/app'; -import { query } from '../../db/clickhouse'; +import { insertRecords, query } from '../../db/clickhouse'; +import { getLogger } from '../../utils'; /** * This task is used to update user location to standard address @@ -15,6 +14,8 @@ const task: Task = { enable: false, immediate: false, callback: async () => { + const logger = getLogger('IssueReactionImporterTask'); + const config = await getConfig(); const githubApp = new App({ @@ -34,7 +35,7 @@ const task: Task = { auth: `Bearer ${await githubApp.getInstallationAccessToken({ installationId: i.id })}`, }); const installationRepos = await oct.paginate('GET /installation/repositories'); - console.log(`Got ${installationRepos.length} repos for installation ${i?.account?.login}`); + logger.info(`Got ${installationRepos.length} repos for installation ${i?.account?.login}`); repos.push(...installationRepos.map(r => ({ iid: i.id, id: r.id, name: r.full_name }))); } return repos; @@ -50,7 +51,7 @@ const task: Task = { }; const getUpdateIssues = async (id: number): Promise => { - const q = `SELECT DISTINCT issue_number FROM gh_events WHERE repo_id=${id} AND issue_number > 0 AND created_at > (SELECT MAX(created_at) FROM gh_events WHERE repo_id=${id} AND type='IssuesReactionEvent')`; + const q = `SELECT DISTINCT issue_number FROM events WHERE platform='GitHub' AND repo_id=${id} AND issue_number > 0 AND created_at > (SELECT MAX(created_at) FROM events WHERE platform='GitHub' AND repo_id=${id} AND type='IssuesReactionEvent')`; const issues = await query(q); return issues.map(i => i[0]); }; @@ -82,7 +83,7 @@ const task: Task = { result.push(item); } } catch (e: any) { - console.log(`Error on fetching reactions for ${r.name}#${number}, e=${e}`); + logger.error(`Error on fetching reactions for ${r.name}#${number}, e=${e}`); if (e.toString().includes('Bad credentials')) { // rate limit hit, get new client and retry oct = await getOctokitClient(r); @@ -99,31 +100,15 @@ const task: Task = { return result; }; - const insertReactions = async (reactions: any[]): Promise => { - const clickhouseClient = createClient(config.db.clickhouse); - const stream = new Readable({ - objectMode: true, - read: () => { }, - }); - for (const r of reactions) stream.push(r); - stream.push(null); - await clickhouseClient.insert({ - table: 'gh_events', - values: stream, - format: 'JSONEachRow', - }); - await clickhouseClient.close(); - }; - const repos = await gettInstalledRepos(); - console.log(`Got ${repos.length} repos to update.`); + logger.info(`Got ${repos.length} repos to update.`); for (const r of repos) { const issues = await getUpdateIssues(r.id); if (issues.length === 0) continue; const reactions = await getReactions(r, issues); if (reactions.length === 0) continue; - console.log(`Goona insert ${reactions.length} reactions for ${r.name}`); - await insertReactions(reactions); + logger.info(`Goona insert ${reactions.length} reactions for ${r.name}`); + await insertRecords(reactions, 'events'); } } }; diff --git a/src/cron/tasks/monthly_export.ts b/src/cron/tasks/monthly_export.ts index 053ea5385..d45b8567c 100644 --- a/src/cron/tasks/monthly_export.ts +++ b/src/cron/tasks/monthly_export.ts @@ -4,7 +4,7 @@ import { Task } from '..'; import { query, queryStream } from '../../db/clickhouse'; import { getRepoActivity, getRepoOpenrank, getUserActivity, getUserOpenrank, getAttention } from '../../metrics/indices'; import { forEveryMonthByConfig, forEveryQuarterByConfig, forEveryYearByConfig, timeDurationConstants } from '../../metrics/basic'; -import { waitFor } from '../../utils'; +import { getLogger, waitFor } from '../../utils'; import getConfig from '../../config'; import { chaossActiveDatesAndTimes, chaossBusFactor, chaossChangeRequestAge, chaossChangeRequestResolutionDuration, chaossChangeRequestResponseTime, chaossChangeRequestReviews, chaossChangeRequests, chaossChangeRequestsAccepted, chaossCodeChangeLines, chaossInactiveContributors, chaossIssueAge, chaossIssueResolutionDuration, chaossIssueResponseTime, chaossIssuesAndChangeRequestActive, chaossIssuesClosed, chaossIssuesNew, chaossNewContributors, chaossTechnicalFork } from '../../metrics/chaoss'; import { contributorEmailSuffixes, repoIssueComments, repoParticipants, repoStars } from '../../metrics/metrics'; @@ -18,20 +18,33 @@ const task: Task = { callback: async () => { const config = await getConfig(); - const exportRepoTableName = 'gh_export_repo'; - const exportUserTableName = 'gh_export_user'; + const exportRepoTableName = 'export_repo'; + const exportUserTableName = 'export_user'; + + const logger = getLogger('MonthlyExportTask'); const needInitExportTable = config.export.needInit; const initExportTable = async () => { // export all labeled repos/orgs/users anyway - const repos = new Set(); - const orgs = new Set(); - const users = new Set(); + const platform = new Map; + orgs: Set, + users: Set, + }>(); const labelData = getLabelData(); labelData.forEach(l => { - l.githubRepos.forEach(id => repos.add(id)); - l.githubOrgs.forEach(id => orgs.add(id)); - l.githubUsers.forEach(id => users.add(id)); + l.platforms.filter(p => p.type === 'Code Hosting').forEach(p => { + if (!platform.has(p.name)) { + platform.set(p.name, { + repos: new Set(), + orgs: new Set(), + users: new Set(), + }); + } + p.orgs.forEach(o => platform.get(p.name)!.orgs.add(o.id)); + p.repos.forEach(r => platform.get(p.name)!.repos.add(r.id)); + p.users.forEach(u => platform.get(p.name)!.users.add(u.id)); + }); }); // handle export table first // - create the table if not exist @@ -39,32 +52,47 @@ const task: Task = { const exportTableQueries: string[] = [ `CREATE TABLE IF NOT EXISTS ${exportRepoTableName} (\`id\` UInt64, + \`platform\` Enum('GitHub' = 1, 'Gitee' = 2, 'AtomGit' = 3, 'GitLab.com' = 4, 'Gitea' = 5, 'GitLab.cn' = 6), \`repo_name\` LowCardinality(String), \`org_id\` UInt64 ) - ENGINE = ReplacingMergeTree(id) - ORDER BY (id) + ENGINE = ReplacingMergeTree + ORDER BY (id, platform) SETTINGS index_granularity = 8192`, `CREATE TABLE IF NOT EXISTS ${exportUserTableName} (\`id\` UInt64, + \`platform\` Enum('GitHub' = 1, 'Gitee' = 2, 'AtomGit' = 3, 'GitLab.com' = 4, 'Gitea' = 5, 'GitLab.cn' = 6), \`actor_login\` LowCardinality(String) ) - ENGINE = ReplacingMergeTree(id) - ORDER BY (id) + ENGINE = ReplacingMergeTree + ORDER BY (id, platform) SETTINGS index_granularity = 8192`, `ALTER TABLE ${exportRepoTableName} DELETE WHERE id > 0`, `ALTER TABLE ${exportUserTableName} DELETE WHERE id > 0`, `INSERT INTO ${exportRepoTableName} - SELECT argMax(repo_id, time) AS id, repo_name, any(orgid) AS org_id FROM - (SELECT repo_id, argMax(repo_name, created_at) AS repo_name, MAX(created_at) AS time, any(org_id) AS orgid FROM gh_repo_openrank - WHERE repo_id IN (SELECT repo_id FROM gh_repo_openrank WHERE openrank > e()) OR repo_id IN (${Array.from(repos).join(',')}) - OR org_id IN (${Array.from(orgs).join(',')}) GROUP BY repo_id) - GROUP BY repo_name`, + SELECT argMax(repo_id, time) AS id, platform, repo_name, any(orgid) AS org_id FROM + (SELECT repo_id, platform, argMax(repo_name, created_at) AS repo_name, MAX(created_at) AS time, any(org_id) AS orgid + FROM global_openrank WHERE type='Repo' AND (repo_id IN (SELECT repo_id FROM global_openrank WHERE openrank > 5 AND type='Repo') OR + platform IN ('Gitee', 'AtomGit') OR ${(() => { + const arr: string[] = []; + for (const [name, p] of platform.entries()) { + if (p.repos.size > 0) arr.push(`(platform = '${name}' AND repo_id IN (${Array.from(p.repos).join(',')}))`); + if (p.orgs.size > 0) arr.push(`(platform = '${name}' AND org_id IN (${Array.from(p.orgs).join(',')}))`); + } + return arr.join(' OR '); + })()}) GROUP BY repo_id, platform) + GROUP BY repo_name, platform`, `INSERT INTO ${exportUserTableName} - SELECT argMax(actor_id, time) AS id, actor_login FROM - (SELECT actor_id, argMax(actor_login, created_at) AS actor_login, MAX(created_at) AS time FROM gh_user_openrank - WHERE actor_id IN (SELECT actor_id FROM gh_user_openrank WHERE openrank > e()) OR actor_id IN (${Array.from(users).join(',')}) GROUP BY actor_id) - GROUP BY actor_login`, + SELECT argMax(actor_id, time) AS id, platform, actor_login FROM + (SELECT actor_id, platform, argMax(actor_login, created_at) AS actor_login, MAX(created_at) AS time + FROM global_openrank WHERE type='User' AND (actor_id IN (SELECT actor_id FROM global_openrank WHERE openrank > 5 AND type='User') OR platform IN ('Gitee', 'AtomGit') OR ${(() => { + const arr: string[] = []; + for (const [name, p] of platform.entries()) { + if (p.users.size > 0) arr.push(`(platform = '${name}' AND actor_id IN (${Array.from(p.users).join(',')}))`); + } + return arr.join(' OR '); + })()}) GROUP BY actor_id, platform) + GROUP BY actor_login, platform`, ]; for (const q of exportTableQueries) { await query(q); @@ -73,20 +101,20 @@ const task: Task = { }; if (needInitExportTable) { await initExportTable(); - console.log('Init export table done.'); + logger.info('Init export table done.'); } const date = new Date(); date.setMonth(date.getMonth() - 1); const startYear = 2015, startMonth = 1, endYear = date.getFullYear(), endMonth = date.getMonth() + 1; - const exportBasePath = join(config.export.path, 'github'); + const exportBasePath = join(config.export.path); const exportMetrics = async () => { // start to export data for all repos and actors // split the sql into 40 pieces to avoid memory issue const getPartition = async (type: 'User' | 'Repo'): Promise> => { const quantileArr: number[] = []; - for (let i = 0.025; i <= 0.975; i += 0.025) { + for (let i = 0.02; i <= 0.98; i += 0.02) { quantileArr.push(i); } const partitions: any[] = []; @@ -109,63 +137,68 @@ const task: Task = { ['quarter', forEveryQuarterByConfig], ['year', forEveryYearByConfig], ]); - for (const type of ['month', 'quarter', 'year']) { - option.groupTimeRange = type; - const result: any[] = await func(option); - for (const row of result) { - const name = row.name; - exportDir.set(join(exportBasePath, name), row.id); - if (!Array.isArray(fields)) fields = [fields]; - const aggExportPath = join(exportBasePath, name, fields[0].targetKey + '.json'); - const aggContent: any = exportData.get(aggExportPath) ?? {}; - for (let field of fields) { - const dataArr = row[field.sourceKey]; - if (!dataArr) { - console.log(`Can not find field ${field}`); - continue; - } - const exportPath = join(exportBasePath, name, field.targetKey + '.json'); - let content: any = exportData.get(exportPath) ?? {}; - if (agg) { - content = aggContent[field.sourceKey] ?? {}; - } - let index = 0; - await iterFuncMap.get(type)(option, async (y, m) => { - if (dataArr.length <= index) return; - let key: string = ''; - if (type === 'month') { - key = `${y}-${m.toString().padStart(2, '0')}`; - } else if (type === 'quarter') { - key = `${y}Q${m}`; - } else if (type === 'year') { - key = `${y}`; + try { + for (const type of ['month', 'quarter', 'year']) { + option.groupTimeRange = type; + const result: any[] = await func(option); + for (const row of result) { + const name: string = row.name; + const platform: string = row.platform; + exportDir.set(join(exportBasePath, platform.toLowerCase(), name), row.id); + if (!Array.isArray(fields)) fields = [fields]; + const aggExportPath = join(exportBasePath, platform.toLowerCase(), name, fields[0].targetKey + '.json'); + const aggContent: any = exportData.get(aggExportPath) ?? {}; + for (let field of fields) { + const dataArr = row[field.sourceKey]; + if (!dataArr) { + logger.error(`Can not find field ${field}`); + continue; + } + const exportPath = join(exportBasePath, platform.toLowerCase(), name, field.targetKey + '.json'); + let content: any = exportData.get(exportPath) ?? {}; + if (agg) { + content = aggContent[field.sourceKey] ?? {}; + } + let index = 0; + await iterFuncMap.get(type)(option, async (y, m) => { + if (dataArr.length <= index) return; + let key: string = ''; + if (type === 'month') { + key = `${y}-${m.toString().padStart(2, '0')}`; + } else if (type === 'quarter') { + key = `${y}Q${m}`; + } else if (type === 'year') { + key = `${y}`; + } + const ele = field.parser(dataArr[index++]); + if (!field.isDefaultValue(ele)) content[key] = ele; + }); + if (!field.disableDataLoss && option.groupTimeRange === 'month' && content['2021-10']) { + // reason: GHArchive had a data service failure about 2 weeks in 2021.10 + // https://github.com/igrigorik/gharchive.org/issues/261 + // handle data loss in 2021.10 only when generate data by month + content['2021-10-raw'] = content['2021-10']; + const arr = ['2021-08', '2021-09', '2021-11', '2021-12'].map(m => content[m]); + // use 2021-08 to 2021-12 data to estimate data for 2021-10 + if (!arr[3]) arr[3] = 0; if (!arr[2]) arr[2] = 0; + if (!arr[0]) arr[0] = arr[3]; if (!arr[1]) arr[1] = arr[2]; + // use integer form since many statistical metrics requires integer form. + content['2021-10'] = Math.round([0.15, 0.35, 0.35, 0.15] + .map((f, i) => f * arr[i]).reduce((p, c) => p + c)); + } + if (!agg) { + exportData.set(exportPath, content); + } else { + aggContent[field.sourceKey] = content; } - const ele = field.parser(dataArr[index++]); - if (!field.isDefaultValue(ele)) content[key] = ele; - }); - if (!field.disableDataLoss && option.groupTimeRange === 'month' && content['2021-10']) { - // reason: GHArchive had a data service failure about 2 weeks in 2021.10 - // https://github.com/igrigorik/gharchive.org/issues/261 - // handle data loss in 2021.10 only when generate data by month - content['2021-10-raw'] = content['2021-10']; - const arr = ['2021-08', '2021-09', '2021-11', '2021-12'].map(m => content[m]); - // use 2021-08 to 2021-12 data to estimate data for 2021-10 - if (!arr[3]) arr[3] = 0; if (!arr[2]) arr[2] = 0; - if (!arr[0]) arr[0] = arr[3]; if (!arr[1]) arr[1] = arr[2]; - // use integer form since many statistical metrics requires integer form. - content['2021-10'] = Math.round([0.15, 0.35, 0.35, 0.15] - .map((f, i) => f * arr[i]).reduce((p, c) => p + c)); } - if (!agg) { - exportData.set(exportPath, content); - } else { - aggContent[field.sourceKey] = content; + if (agg) { + exportData.set(aggExportPath, aggContent); } } - if (agg) { - exportData.set(aggExportPath, aggContent); - } } + } catch (e) { + logger.error(`Error on processing metric: ${func.name}, e=${e}`); } // write back to local disk in async way @@ -222,7 +255,7 @@ const task: Task = { }); }); - console.log('Start to process repo export task.'); + logger.info('Start to process repo export task.'); const repoPartitions = await getPartition('Repo'); for (let i = 0; i < repoPartitions.length; i++) { const { min, max } = repoPartitions[i]; @@ -283,11 +316,11 @@ const task: Task = { // [CHAOSS] age await processMetric(chaossIssueAge, option, getDurationFields('issue_age'), true); await processMetric(chaossChangeRequestAge, option, getDurationFields('change_request_age'), true); - console.log(`Process repo for round ${i} done.`); + logger.info(`Process repo for round ${i} done.`); } - console.log('Process repo export task done.'); + logger.info('Process repo export task done.'); - console.log('Start to process user export task.'); + logger.info('Start to process user export task.'); const userPartitions = await getPartition('User'); for (let i = 0; i < userPartitions.length; i++) { const { min, max } = userPartitions[i]; @@ -297,15 +330,15 @@ const task: Task = { await processMetric(getUserActivity, { ...option, options: { repoDetail: true } }, [...['activity', 'open_issue', 'issue_comment', 'open_pull', 'merged_pull', 'review_comment'].map(f => getField(f)), getField('details', { targetKey: 'activity_details', ...arrayFieldOption, parser: arr => arr.slice(0, 30) })]); // user openrank await processMetric(getUserOpenrank, option, getField('openrank')); - console.log(`Process user for round ${i} done.`); + logger.info(`Process user for round ${i} done.`); } - console.log('Process user export task done.'); + logger.info('Process user export task done.'); }; const updateMetaData = (path: string, data: any) => { try { let outputData = data; - if (!existsSync(path)) return + if (!existsSync(path)) return; const originalData = JSON.parse(readFileSync(path).toString()); outputData = { ...originalData, @@ -313,16 +346,16 @@ const task: Task = { }; writeFileSync(path, JSON.stringify(outputData)); } catch (e: any) { - console.log(`Exception on updating meta data, path=${path}, data=${data}, e=${e.message}`); + logger.error(`Exception on updating meta data, path=${path}, data=${data}, e=${e.message}`); } }; // export owner meta data const exportOwnerMeta = async () => { - const sql = `SELECT splitByChar('/', repo_name)[1] AS owner, groupArray(repo_name), groupArray(id), any(org_id) FROM ${exportRepoTableName} GROUP BY owner`; + const sql = `SELECT platform, splitByChar('/', repo_name)[1] AS owner, groupArray(repo_name), groupArray(id), any(org_id) FROM ${exportRepoTableName} GROUP BY owner, platform`; await queryStream(sql, row => { - const [owner, repos, ids, orgId] = row; - updateMetaData(join(exportBasePath, owner, 'meta.json'), { + const [platform, owner, repos, ids, orgId] = row; + updateMetaData(join(exportBasePath, platform.toLowerCase(), owner, 'meta.json'), { updatedAt: new Date().getTime(), id: orgId === '0' ? undefined : parseInt(orgId), type: orgId === '0' ? 'user' : 'org', @@ -334,14 +367,14 @@ const task: Task = { }), }); }); - console.log('Export owner meta data done.'); + logger.info('Export owner meta data done.'); }; // export label data const exportLabelData = async () => { const labelData = getLabelData(); const labelMap = new Map(); - const labelDetailMap = new Map; github_repos: Map; github_users: Map }>(); + const labelDetailMap = new Map; repos: Map; users: Map }[] }>(); for (const l of labelData) { const update = (name: any) => { if (!labelMap.has(name)) labelMap.set(name, []); @@ -360,56 +393,66 @@ const task: Task = { name: l.name, type: l.type, }, - github_repos: new Map(), - github_orgs: new Map(), - github_users: new Map(), + platforms: [], }); const labelDetail = labelDetailMap.get(l.identifier)!; - await Promise.all([ - (async () => { - if (l.githubOrgs.length <= 0) return; - const sql = `SELECT org_login, ROUND(SUM(repo_openrank), 2) AS openrank FROM -(SELECT org_id, argMax(org_login, created_at) AS org_login, repo_id, argMax(openrank, created_at) AS repo_openrank FROM gh_repo_openrank -WHERE org_id IN (${l.githubOrgs.join(',')}) -GROUP BY org_id, repo_id) -GROUP BY org_login -ORDER BY openrank DESC`; - await queryStream(sql, row => { - const [orgLogin, openrank] = row; - labelDetail.github_orgs.set(orgLogin, openrank); - update(orgLogin); - }); - })(), - (async () => { - if (l.githubOrgs.length <= 0) return; - // add the label to repos under the org too. - const sql = `SELECT argMax(repo_name, created_at), ROUND(argMax(openrank, created_at), 2) AS openrank FROM gh_repo_openrank WHERE org_id IN (${l.githubOrgs.join(',')}) GROUP BY repo_id ORDER BY openrank DESC` - await queryStream(sql, row => { - const [repoName] = row; - update(repoName); - }); - })(), - (async () => { - if (l.githubRepos.length <= 0) return; - const sql = `SELECT argMax(repo_name, created_at), ROUND(argMax(openrank, created_at), 2) AS openrank FROM gh_repo_openrank WHERE repo_id IN (${l.githubRepos.join(',')}) GROUP BY repo_id ORDER BY openrank DESC`; - await queryStream(sql, row => { - const [repoName, openrank] = row; - labelDetail.github_repos.set(repoName, openrank); - update(repoName); - }); - })(), - (async () => { - if (l.githubUsers.length <= 0) return; - const sql = `SELECT argMax(actor_login, created_at), ROUND(argMax(openrank, created_at), 2) AS openrank FROM gh_user_openrank WHERE actor_id IN (${l.githubUsers.join(',')}) GROUP BY actor_id ORDER BY openrank DESC`; - await queryStream(sql, row => { - const [actorLogin, openrank] = row; - labelDetail.github_users.set(actorLogin, openrank); - update(actorLogin); - }); - })(), - ]); - console.log(`Process ${l.identifier} done.`); + for (const p of l.platforms) { + const { name, type, orgs, repos, users } = p; + const item = { + name, + type, + orgs: new Map(), + repos: new Map(), + users: new Map(), + }; + await Promise.all([ + (async () => { + if (!orgs || orgs.length <= 0) return; + const sql = `SELECT org_login, ROUND(SUM(repo_openrank), 2) AS openrank FROM + (SELECT org_id, argMax(org_login, created_at) AS org_login, repo_id, argMax(openrank, created_at) AS repo_openrank FROM global_openrank + WHERE org_id IN (${orgs.map(o => o.id).join(',')}) AND platform = '${name}' AND type='Repo' + GROUP BY org_id, repo_id) + GROUP BY org_login + ORDER BY openrank DESC`; + await queryStream(sql, row => { + const [orgLogin, openrank] = row; + item.orgs.set(orgLogin, openrank); + update(`${name.toLowerCase()}/${orgLogin}`); + }); + })(), + (async () => { + if (!orgs || orgs.length <= 0) return; + // add the label to repos under the org too. + const sql = `SELECT argMax(repo_name, created_at), ROUND(argMax(openrank, created_at), 2) AS openrank FROM global_openrank WHERE org_id IN (${orgs.map(o => o.id).join(',')}) AND platform = '${name}' AND type='Repo' GROUP BY repo_id ORDER BY openrank DESC` + await queryStream(sql, row => { + const [repoName] = row; + update(`${name.toLowerCase()}/${repoName}`); + }); + })(), + (async () => { + if (!repos || repos.length <= 0) return; + const sql = `SELECT argMax(repo_name, created_at), ROUND(argMax(openrank, created_at), 2) AS openrank FROM global_openrank WHERE repo_id IN (${repos.map(r => r.id).join(',')}) AND platform='${name}' AND type='Repo' GROUP BY repo_id ORDER BY openrank DESC`; + await queryStream(sql, row => { + const [repoName, openrank] = row; + item.repos.set(repoName, openrank); + update(`${name.toLowerCase()}/${repoName}`); + }); + })(), + (async () => { + if (!users || users.length <= 0) return; + const sql = `SELECT argMax(actor_login, created_at), ROUND(argMax(openrank, created_at), 2) AS openrank FROM global_openrank WHERE actor_id IN (${users.map(u => u.id).join(',')}) AND platform='${name}' AND type='User' GROUP BY actor_id ORDER BY openrank DESC`; + await queryStream(sql, row => { + const [actorLogin, openrank] = row; + item.users.set(actorLogin, openrank); + update(`${name.toLowerCase()}/${actorLogin}`); + }); + })(), + ]); + labelDetail.platforms.push(item); + } + logger.info(`Process ${l.identifier} done.`); } + for (const [name, labels] of labelMap.entries()) { updateMetaData(join(exportBasePath, name, 'meta.json'), { labels, @@ -424,24 +467,28 @@ ORDER BY openrank DESC`; mkdirSync(labelPath, { recursive: true }); writeFileSync(join(labelPath, 'data.json'), JSON.stringify({ ...detail.label, - github_repos: convertMap(detail.github_repos), - github_orgs: convertMap(detail.github_orgs), - github_users: convertMap(detail.github_users), + platforms: detail.platforms.map(p => ({ + name: p.name, + type: p.type, + orgs: convertMap(p.orgs), + repos: convertMap(p.repos), + users: convertMap(p.users), + })), })); } - console.log('Export label data done.'); + logger.info('Export label data done.'); }; const exportUserInfo = async () => { let processedCount = 0; - const userInfoQuery = `SELECT b.actor_login, a.location, a.bio, a.name, a.company FROM -(SELECT id, location, bio, name, company FROM gh_user_info WHERE status='normal')a -LEFT JOIN -(SELECT id, actor_login FROM gh_export_user)b -ON a.id = b.id`; + const userInfoQuery = `SELECT platform, b.actor_login, a.location, a.bio, a.name, a.company FROM + (SELECT 'GitHub' AS platform, id, location, bio, name, company FROM gh_user_info WHERE status='normal')a + LEFT JOIN + (SELECT id, platform, actor_login FROM ${exportUserTableName})b + ON a.id = b.id AND a.platform = b.platform`; await queryStream(userInfoQuery, row => { - const [login, location, bio, name, company] = row; - updateMetaData(join(exportBasePath, login, 'meta.json'), { + const [platform, login, location, bio, name, company] = row; + updateMetaData(join(exportBasePath, platform.toLowerCase(), login, 'meta.json'), { info: { location: location ?? undefined, bio: bio ?? undefined, @@ -451,30 +498,32 @@ ON a.id = b.id`; }); processedCount++; if (processedCount % 10000 === 0) { - console.log(`${processedCount} user info has been exported.`); + logger.info(`${processedCount} user info has been exported.`); } }); - console.log('Export user info done'); + logger.info('Export user info done'); } const exportAllRepoList = async () => { const filePath = join(exportBasePath, 'repo_list.csv'); - writeFileSync(filePath, `id,repo_name${EOL}`); - const query = `SELECT id, repo_name FROM ${exportRepoTableName}`; + writeFileSync(filePath, `id,platform,repo_name${EOL}`); + const query = `SELECT id, platform, repo_name FROM ${exportRepoTableName}`; await queryStream(query, row => { - const [id, name] = row; - appendFileSync(filePath, `${id},${name}${EOL}`); + const [id, platform, name] = row; + appendFileSync(filePath, `${id},${platform.toLowerCase()},${name}${EOL}`); }); + logger.info('Export repo list done.'); }; const exportAllUserList = async () => { const filePath = join(exportBasePath, 'user_list.csv'); - writeFileSync(filePath, `id,actor_login${EOL}`); - const query = `SELECT id, actor_login FROM ${exportUserTableName}`; + writeFileSync(filePath, `id,platform,actor_login${EOL}`); + const query = `SELECT id, platform, actor_login FROM ${exportUserTableName}`; await queryStream(query, row => { - const [id, login] = row; - appendFileSync(filePath, `${id},${login}${EOL}`); + const [id, platform, login] = row; + appendFileSync(filePath, `${id},${platform.toLowerCase()},${login}${EOL}`); }); + logger.info('Export user list done.'); }; await exportMetrics(); @@ -484,7 +533,7 @@ ON a.id = b.id`; await exportAllRepoList(); await exportAllUserList(); - console.log(`Task monthly export done.`); + logger.info(`Task monthly export done.`); } }; diff --git a/src/cron/tasks/open_leaderboard.ts b/src/cron/tasks/open_leaderboard.ts index e322f22e5..95dbeece0 100644 --- a/src/cron/tasks/open_leaderboard.ts +++ b/src/cron/tasks/open_leaderboard.ts @@ -2,7 +2,7 @@ import { existsSync, mkdirSync, writeFileSync } from 'fs'; import { Task } from '..'; import { getRepoActivity, getRepoOpenrank, getUserActivity, getUserOpenrank } from '../../metrics/indices'; import { forEveryMonth } from '../../metrics/basic'; -import { rankData } from '../../utils'; +import { getLogger, rankData } from '../../utils'; const task: Task = { cron: '0 0 15 * *', // runs on the 15th day of every month at 00:00 @@ -10,7 +10,9 @@ const task: Task = { immediate: false, callback: async () => { - console.log(`Start to run open leaderboard task.`); + const logger = getLogger('OpenLeaderboardTask'); + + logger.info(`Start to run open leaderboard task.`); const startYear = 2015, startMonth = 1, endYear = new Date().getFullYear(), endMonth = new Date().getMonth(); const limit = 300; @@ -28,7 +30,7 @@ const task: Task = { } }; - const exportUserTableName = 'gh_export_user', exportRepoTableName = 'gh_export_repo'; + const exportUserTableName = 'export_user', exportRepoTableName = 'export_repo'; // get chinese month actor activity const chineseUserMonthActivityData = await getUserActivity({ @@ -37,7 +39,7 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'month', limitOption: 'each', }); - console.log(`Get chinese user month activity data done, count=${chineseUserMonthActivityData.length}`); + logger.info(`Get chinese user month activity data done, count=${chineseUserMonthActivityData.length}`); const chineseUserMonthActivityMap = rankData(chineseUserMonthActivityData!, allMonthes, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -61,7 +63,7 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'year', limitOption: 'each', }); - console.log(`Get chinese user year activity data done, count=${chineseUserYearActivityData.length}`); + logger.info(`Get chinese user year activity data done, count=${chineseUserYearActivityData.length}`); const chineseUserYearActivityMap = rankData(chineseUserYearActivityData!, allYears, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -77,7 +79,7 @@ const task: Task = { chineseUserYearActivityMap.set(k, chineseUserYearActivityMap.get(k)!.filter(i => i.value > 0)); } writeData(chineseUserYearActivityMap, 'Actor_China_Year', 'activity/actor/chinese'); - console.log('Chinese actor activity done.'); + logger.info('Chinese actor activity done.'); // get global actor activity const globalUserMonthActivityData = await getUserActivity({ @@ -85,7 +87,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'month', whereClause: `actor_id IN (SELECT id FROM ${exportUserTableName})`, }, false); - console.log(`Get global user month activity data done, count=${globalUserMonthActivityData.length}`); + logger.info(`Get global user month activity data done, count=${globalUserMonthActivityData.length}`); const globalUserMonthActivityMap = rankData(globalUserMonthActivityData!, allMonthes, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -107,7 +109,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'year', whereClause: `actor_id IN (SELECT id FROM ${exportUserTableName})`, }, false); - console.log(`Get global user year activity data done, count=${globalUserYearActivityData.length}`); + logger.info(`Get global user year activity data done, count=${globalUserYearActivityData.length}`); const globalUserYearActivityMap = rankData(globalUserYearActivityData!, allYears, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -123,7 +125,7 @@ const task: Task = { globalUserYearActivityMap.set(k, globalUserYearActivityMap.get(k)!.filter(i => i.value > 0)); } writeData(globalUserYearActivityMap, 'Actor_Global_Year', 'activity/actor/global'); - console.log('Global actor activity done.'); + logger.info('Global actor activity done.'); // get chinese company activity // by month @@ -134,7 +136,7 @@ const task: Task = { groupBy: 'Company', limitOption: 'each', groupTimeRange: 'month', }); - console.log(`Get chinese company month activity data done, count=${chineseCompanyMonthActivityData?.length}`); + logger.info(`Get chinese company month activity data done, count=${chineseCompanyMonthActivityData?.length}`); const chineseCompanyMonthActivityMap = rankData(chineseCompanyMonthActivityData!, allMonthes, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -158,7 +160,7 @@ const task: Task = { groupBy: 'Company', limitOption: 'each', groupTimeRange: 'year', }); - console.log(`Get chinese company year activity data done, count=${chineseCompanyYearActivityData?.length}`); + logger.info(`Get chinese company year activity data done, count=${chineseCompanyYearActivityData?.length}`); const chineseCompanyYearActivityMap = rankData(chineseCompanyYearActivityData!, allYears, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -173,7 +175,7 @@ const task: Task = { chineseCompanyYearActivityMap.set(k, chineseCompanyYearActivityMap.get(k)!.filter(i => i.value > 0)); } writeData(chineseCompanyYearActivityMap, 'Repo_China_Year', 'activity/company/chinese'); - console.log('Chinese company activity done.'); + logger.info('Chinese company activity done.'); // get global company activity // by month @@ -184,7 +186,7 @@ const task: Task = { groupBy: 'Company', limitOption: 'each', groupTimeRange: 'month', }); - console.log(`Get global company month activity data done, count=${globalCompanyMonthActivityData?.length}`); + logger.info(`Get global company month activity data done, count=${globalCompanyMonthActivityData?.length}`); const globalCompanyMonthActivityMap = rankData(globalCompanyMonthActivityData!, allMonthes, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -208,7 +210,7 @@ const task: Task = { groupBy: 'Company', limitOption: 'each', groupTimeRange: 'year', }); - console.log(`Get global company year activity data done, count=${globalCompanyYearActivityData?.length}`); + logger.info(`Get global company year activity data done, count=${globalCompanyYearActivityData?.length}`); const globalCompanyYearActivityMap = rankData(globalCompanyYearActivityData!, allYears, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -223,7 +225,7 @@ const task: Task = { globalCompanyYearActivityMap.set(k, globalCompanyYearActivityMap.get(k)!.filter(i => i.value > 0)); } writeData(globalCompanyYearActivityMap, 'Repo_Global_Year', 'activity/company/global'); - console.log('Global company activity done.'); + logger.info('Global company activity done.'); // get global repo activity // by month @@ -232,7 +234,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'month', whereClause: `repo_id IN (SELECT id FROM ${exportRepoTableName})`, }); - console.log(`Get global repo month activity data done, count=${globalRepoMonthActivityData?.length}`); + logger.info(`Get global repo month activity data done, count=${globalRepoMonthActivityData?.length}`); const globalRepoMonthActivityMap = rankData(globalRepoMonthActivityData!, allMonthes, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -253,7 +255,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'year', whereClause: `repo_id IN (SELECT id FROM ${exportRepoTableName})`, }); - console.log(`Get global repo year activity data done, count=${globalRepoYearActivityData?.length}`); + logger.info(`Get global repo year activity data done, count=${globalRepoYearActivityData?.length}`); const globalRepoYearActivityMap = rankData(globalRepoYearActivityData!, allYears, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -268,7 +270,7 @@ const task: Task = { globalRepoYearActivityMap.set(k, globalRepoYearActivityMap.get(k)!.filter(i => i.value > 0)); } writeData(globalRepoYearActivityMap, 'Repo_Global_Year', 'activity/repo/global'); - console.log('Global repo activity done.'); + logger.info('Global repo activity done.'); // get Chinese repo activity // by month @@ -278,7 +280,7 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'month', limitOption: 'each', }); - console.log(`Get chinese repo month activity data done, count=${chineseRepoMonthActivityData?.length}`); + logger.info(`Get chinese repo month activity data done, count=${chineseRepoMonthActivityData?.length}`); const chineseRepoMonthActivityMap = rankData(chineseRepoMonthActivityData!, allMonthes, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -300,7 +302,7 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'year', limitOption: 'each', }); - console.log(`Get chinese repo year activity data done, count=${chineseRepoYearActivityData?.length}`); + logger.info(`Get chinese repo year activity data done, count=${chineseRepoYearActivityData?.length}`); const chineseRepoYearActivityMap = rankData(chineseRepoYearActivityData!, allYears, (item, _, index) => item.activity[index], (item, index) => { return { name: item.name, @@ -315,7 +317,7 @@ const task: Task = { chineseRepoYearActivityMap.set(k, chineseRepoYearActivityMap.get(k)!.filter(i => i.value > 0)); } writeData(chineseRepoYearActivityMap, 'Repo_China_Year', 'activity/repo/chinese'); - console.log('Chinese repo activity done.'); + logger.info('Chinese repo activity done.'); // get Chinese actor OpenRank // by month @@ -325,7 +327,7 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'month', limitOption: 'each', }); - console.log(`Get chinese user month openrank data done, count=${chineseUserMonthOpenrankData.length}`); + logger.info(`Get chinese user month openrank data done, count=${chineseUserMonthOpenrankData.length}`); const chineseUserMonthOpenrankMap = rankData(chineseUserMonthOpenrankData!, allMonthes, (item, _, index) => item.openrank[index], item => { return { name: item.name, id: item.id }; }); for (const k of chineseUserMonthOpenrankMap.keys()) { chineseUserMonthOpenrankMap.set(k, chineseUserMonthOpenrankMap.get(k)!.filter(i => i.value > 0)); @@ -338,13 +340,13 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'year', limitOption: 'each', }); - console.log(`Get chinese user year openrank data done, count=${chineseUserYearOpenrankData.length}`); + logger.info(`Get chinese user year openrank data done, count=${chineseUserYearOpenrankData.length}`); const chineseUserYearOpenrankMap = rankData(chineseUserYearOpenrankData!, allYears, (item, _, index) => item.openrank[index], item => { return { name: item.name, id: item.id }; }); for (const k of chineseUserYearOpenrankMap.keys()) { chineseUserYearOpenrankMap.set(k, chineseUserYearOpenrankMap.get(k)!.filter(i => i.value > 0)); } writeData(chineseUserYearOpenrankMap, 'Actor_China_Year', 'open_rank/actor/chinese'); - console.log('Chinese actor OpenRank done.'); + logger.info('Chinese actor OpenRank done.'); // get global actor OpenRank // by month @@ -353,7 +355,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'month', whereClause: `actor_id IN (SELECT id FROM ${exportUserTableName})`, }); - console.log(`Get global user month openrank data done, count=${globalUserMonthOpenrankData.length}`); + logger.info(`Get global user month openrank data done, count=${globalUserMonthOpenrankData.length}`); const globalUserMonthOpenrankMap = rankData(globalUserMonthOpenrankData!, allMonthes, (item, _, index) => item.openrank[index], item => { return { name: item.name, id: item.id }; }); for (const k of globalUserMonthOpenrankMap.keys()) { globalUserMonthOpenrankMap.set(k, globalUserMonthOpenrankMap.get(k)!.filter(i => i.value > 0)); @@ -365,13 +367,13 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'year', whereClause: `actor_id IN (SELECT id FROM ${exportUserTableName})`, }); - console.log(`Get global user year openrank data done, count=${globalUserYearOpenrankData.length}`); + logger.info(`Get global user year openrank data done, count=${globalUserYearOpenrankData.length}`); const globalUserYearOpenrankMap = rankData(globalUserYearOpenrankData!, allYears, (item, _, index) => item.openrank[index], item => { return { name: item.name, id: item.id }; }); for (const k of globalUserYearOpenrankMap.keys()) { globalUserYearOpenrankMap.set(k, globalUserYearOpenrankMap.get(k)!.filter(i => i.value > 0)); } writeData(globalUserYearOpenrankMap, 'Actor_Global_Year', 'open_rank/actor/global'); - console.log('Global actor OpenRank done.'); + logger.info('Global actor OpenRank done.'); // get Chinese repo OpenRank // by month @@ -381,7 +383,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, groupTimeRange: 'month', limitOption: 'each', }); - console.log(`Get chinese repo month openrank data done, count=${chineseRepoMonthOpenrankData.length}`); + logger.info(`Get chinese repo month openrank data done, count=${chineseRepoMonthOpenrankData.length}`); const chineseRepoMonthOpenrankMap = rankData(chineseRepoMonthOpenrankData!, allMonthes, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of chineseRepoMonthOpenrankMap.keys()) { chineseRepoMonthOpenrankMap.set(k, chineseRepoMonthOpenrankMap.get(k)!.filter(i => i.value > 0)); @@ -394,13 +396,13 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, groupTimeRange: 'year', limitOption: 'each', }); - console.log(`Get chinese repo year openrank data done, count=${chineseRepoYearOpenrankData.length}`); + logger.info(`Get chinese repo year openrank data done, count=${chineseRepoYearOpenrankData.length}`); const chineseRepoYearOpenrankMap = rankData(chineseRepoYearOpenrankData!, allYears, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of chineseRepoYearOpenrankMap.keys()) { chineseRepoYearOpenrankMap.set(k, chineseRepoYearOpenrankMap.get(k)!.filter(i => i.value > 0)); } writeData(chineseRepoYearOpenrankMap, 'Repo_China_Year', 'open_rank/repo/chinese'); - console.log('Chinese repo OpenRank done.'); + logger.info('Chinese repo OpenRank done.'); // get Chinese company // by month @@ -410,7 +412,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'month', groupBy: 'Company', }); - console.log(`Get chinese company repo month openrank data done, count=${chineseCompanyRepoMonthOpenrankData.length}`); + logger.info(`Get chinese company repo month openrank data done, count=${chineseCompanyRepoMonthOpenrankData.length}`); const chineseCompanyRepoMonthOpenrankMap = rankData(chineseCompanyRepoMonthOpenrankData!, allMonthes, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of chineseCompanyRepoMonthOpenrankMap.keys()) { chineseCompanyRepoMonthOpenrankMap.set(k, chineseCompanyRepoMonthOpenrankMap.get(k)!.filter(i => i.value > 0)); @@ -423,13 +425,13 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, limitOption: 'each', groupTimeRange: 'year', groupBy: 'Company', }); - console.log(`Get chinese company repo year openrank data done, count=${chineseCompanyRepoYearOpenrankData.length}`); + logger.info(`Get chinese company repo year openrank data done, count=${chineseCompanyRepoYearOpenrankData.length}`); const chineseCompanyRepoYearOpenrankMap = rankData(chineseCompanyRepoYearOpenrankData!, allYears, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of chineseCompanyRepoYearOpenrankMap.keys()) { chineseCompanyRepoYearOpenrankMap.set(k, chineseCompanyRepoYearOpenrankMap.get(k)!.filter(i => i.value > 0)); } writeData(chineseCompanyRepoYearOpenrankMap, 'Company_China_Year', 'open_rank/company/chinese'); - console.log('Chinese company OpenRank done.'); + logger.info('Chinese company OpenRank done.'); // get global repo OpenRank // by month @@ -438,7 +440,7 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'month', whereClause: `repo_id IN (SELECT id FROM ${exportRepoTableName})`, }); - console.log(`Get global repo month openrank data done, count=${globalRepoMonthOpenrankData.length}`); + logger.info(`Get global repo month openrank data done, count=${globalRepoMonthOpenrankData.length}`); const globalRepoMonthOpenrankMap = rankData(globalRepoMonthOpenrankData!, allMonthes, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of globalRepoMonthOpenrankMap.keys()) { globalRepoMonthOpenrankMap.set(k, globalRepoMonthOpenrankMap.get(k)!.filter(i => i.value > 0)); @@ -450,13 +452,13 @@ const task: Task = { order: 'DESC', limit, precision: 2, limitOption: 'each', groupTimeRange: 'year', whereClause: `repo_id IN (SELECT id FROM ${exportRepoTableName})`, }); - console.log(`Get global repo year openrank data done, count=${globalRepoYearOpenrankData.length}`); + logger.info(`Get global repo year openrank data done, count=${globalRepoYearOpenrankData.length}`); const globalRepoYearOpenrankMap = rankData(globalRepoYearOpenrankData!, allYears, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of globalRepoYearOpenrankMap.keys()) { globalRepoYearOpenrankMap.set(k, globalRepoYearOpenrankMap.get(k)!.filter(i => i.value > 0)); } writeData(globalRepoYearOpenrankMap, 'Repo_Global_Year', 'open_rank/repo/global'); - console.log('Global repo OpenRank done.'); + logger.info('Global repo OpenRank done.'); // get global company // by month @@ -466,7 +468,7 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, limitOption: 'each', groupTimeRange: 'month', groupBy: 'Company', }); - console.log(`Get global company repo month openrank data done, count=${globalCompanyRepoMonthOpenrankData.length}`); + logger.info(`Get global company repo month openrank data done, count=${globalCompanyRepoMonthOpenrankData.length}`); const globalCompanyRepoMonthOpenrankMap = rankData(globalCompanyRepoMonthOpenrankData!, allMonthes, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of globalCompanyRepoMonthOpenrankMap.keys()) { globalCompanyRepoMonthOpenrankMap.set(k, globalCompanyRepoMonthOpenrankMap.get(k)!.filter(i => i.value > 0)); @@ -479,17 +481,17 @@ const task: Task = { order: 'DESC', limit: -1, precision: 2, limitOption: 'each', groupTimeRange: 'year', groupBy: 'Company', }); - console.log(`Get global company repo year openrank data done, count=${globalCompanyRepoYearOpenrankData.length}`); + logger.info(`Get global company repo year openrank data done, count=${globalCompanyRepoYearOpenrankData.length}`); const globalCompanyRepoYearOpenrankMap = rankData(globalCompanyRepoYearOpenrankData!, allYears, (item, _, index) => item.openrank[index], item => { return { name: item.name }; }); for (const k of globalCompanyRepoYearOpenrankMap.keys()) { globalCompanyRepoYearOpenrankMap.set(k, globalCompanyRepoYearOpenrankMap.get(k)!.filter(i => i.value > 0)); } writeData(globalCompanyRepoYearOpenrankMap, 'Company_Global_Year', 'open_rank/company/global'); - console.log('Global company OpenRank done.'); + logger.info('Global company OpenRank done.'); writeFileSync('./local_files/open_leaderboard/meta.json', JSON.stringify({ lastUpdatedAt: new Date().getTime() })); - console.log('Task for open leaderboard done.'); + logger.info('Task for open leaderboard done.'); } }; diff --git a/src/cron/tasks/remove_rename.ts b/src/cron/tasks/remove_rename.ts index d50071746..fdb38c441 100644 --- a/src/cron/tasks/remove_rename.ts +++ b/src/cron/tasks/remove_rename.ts @@ -40,7 +40,7 @@ const task: Task = { await deleteFile(`${ossPrefix}${path}/`); }; - const orgQuery = `SELECT org_id, groupArray(DISTINCT org_login) AS names, argMax(org_login, created_at) FROM gh_events WHERE repo_id IN (SELECT id FROM gh_export_repo) GROUP BY org_id HAVING length(names) > 1`; + const orgQuery = `SELECT org_id, groupArray(DISTINCT org_login) AS names, argMax(org_login, created_at) FROM events WHERE repo_id IN (SELECT id FROM gh_export_repo) GROUP BY org_id HAVING length(names) > 1`; const orgQueryResult = await query(orgQuery); console.log(`Got ${orgQueryResult.length} rows from org query.`); const orgToRemove: string[] = []; @@ -56,7 +56,7 @@ const task: Task = { } console.log('Remove all orgs files done.'); - const repoQuery = `SELECT groupArray(DISTINCT repo_name) AS names, argMax(repo_name, created_at) FROM gh_events WHERE repo_id IN (SELECT id FROM gh_export_repo) AND org_id NOT IN (${orgToRemoveIds.join(',')}) GROUP BY repo_id HAVING length(names) > 1`; + const repoQuery = `SELECT groupArray(DISTINCT repo_name) AS names, argMax(repo_name, created_at) FROM events WHERE repo_id IN (SELECT id FROM gh_export_repo) AND org_id NOT IN (${orgToRemoveIds.join(',')}) GROUP BY repo_id HAVING length(names) > 1`; const repoQueryResult = await query(repoQuery); const repoToRemove: string[] = []; console.log(`Got ${repoQueryResult.length} rows from repo query.`); diff --git a/src/cron/tasks/update_github_users.ts b/src/cron/tasks/update_github_users.ts index ba0cfbd14..a5ac23583 100644 --- a/src/cron/tasks/update_github_users.ts +++ b/src/cron/tasks/update_github_users.ts @@ -4,6 +4,7 @@ import { query } from '../../db/clickhouse'; import { Readable } from 'stream'; import { createClient } from '@clickhouse/client'; import { GitHubClient } from 'github-graphql-v4-client'; +import { getLogger } from '../../utils'; /** * This task is used to update github users basic info @@ -13,12 +14,15 @@ const task: Task = { enable: false, immediate: false, callback: async () => { - const updateBatchSize = 2000; + + const logger = getLogger('UpdateGitHubUserTask'); + + const updateBatchSize = 1500; const config = await getConfig(); const tokens = config.github.tokens; const graphqlClient = new GitHubClient({ tokens, - maxConcurrentReqNumber: 30, + maxConcurrentReqNumber: 40, logger: { info: () => { }, error: () => { }, @@ -78,23 +82,23 @@ const task: Task = { const date = `${now.getFullYear()}-${(now.getMonth() + 1).toString().padStart(2, '0')}-01 00:00:00`; const getUsersList = async (totalCount: number): Promise => { // try to get export user first, export users need to be updated every month - let q = `SELECT id, actor_login FROM gh_export_user - WHERE id NOT IN ( + let q = `SELECT id, actor_login FROM export_user + WHERE type='User' AND platform='GitHub' id NOT IN ( SELECT id FROM gh_user_info WHERE toYYYYMM(updated_at) = ${now.getFullYear()}${(now.getMonth() + 1).toString().padStart(2, '0')}) LIMIT ${totalCount}`; let usersList = await query(q); if (usersList.length > 0) return usersList; // then try to get users who has events, every user should be updated at least once a year - q = `SELECT actor_id, argMax(actor_login, created_at) FROM gh_user_openrank - WHERE actor_id NOT IN (SELECT id FROM gh_user_info WHERE toYear(updated_at) = ${now.getFullYear()}) + q = `SELECT actor_id, argMax(actor_login, created_at) FROM global_openrank + WHERE platform='GitHub' actor_id NOT IN (SELECT id FROM gh_user_info WHERE toYear(updated_at) = ${now.getFullYear()}) GROUP BY actor_id LIMIT ${totalCount}`; usersList = await query(q); if (usersList.length > 0) return usersList; // then try to get any user in the log, every user should be updated at least once - q = `SELECT actor_id, argMax(actor_login, created_at) FROM gh_events - WHERE actor_id NOT IN (SELECT id FROM gh_user_info) + q = `SELECT actor_id, argMax(actor_login, created_at) FROM events + WHERE platform='GitHub' actor_id NOT IN (SELECT id FROM gh_user_info) GROUP BY actor_id LIMIT ${totalCount}`; usersList = await query(q); @@ -103,7 +107,7 @@ const task: Task = { const usersList = await getUsersList(updateBatchSize); if (usersList.length === 0) return; - console.log(`Get ${usersList.length} users to update`); + logger.info(`Get ${usersList.length} users to update`); let processedCount = 0; const stream = new Readable({ @@ -132,7 +136,7 @@ const task: Task = { stream.push(item); processedCount++; if (processedCount % 100 === 0) { - console.log(`${processedCount} accounts has been processed.`); + logger.info(`${processedCount} accounts has been processed.`); } } stream.push(null); diff --git a/src/db/clickhouse.ts b/src/db/clickhouse.ts index 9559d7109..fe656b927 100644 --- a/src/db/clickhouse.ts +++ b/src/db/clickhouse.ts @@ -1,5 +1,6 @@ import { ClickHouseClient, createClient, Row } from '@clickhouse/client'; import getConfig from '../config'; +import { Readable } from 'stream'; let _client: ClickHouseClient; @@ -23,3 +24,22 @@ export async function queryStream(q: string, onRow: (row: T) => void, o stream.on('error', (err: any) => console.error(`Query for ${q} error: ${err}`)); }); } + +export async function insertRecords(records: any[], table: string) { + if (records.length === 0) return; + const stream = new Readable({ + objectMode: true, + read: () => { + // + }, + }); + for (const e of records) stream.push(e); + stream.push(null); + const client = createClient((await getConfig()).db.clickhouse); + await client.insert({ + table, + values: stream, + format: 'JSONEachRow', + }); + await client.close(); +} diff --git a/src/db/neo4j.ts b/src/db/neo4j.ts index cfa6bd560..77bf805eb 100644 --- a/src/db/neo4j.ts +++ b/src/db/neo4j.ts @@ -5,17 +5,42 @@ import getConfig from '../config'; let _driver: any; export async function getClient() { - if (!_driver) _driver = neo4j.driver((await getConfig()).db.neo4j.host); + if (_driver) return _driver; + const config: any = await getConfig(); + const { url, user, password } = config.db.neo4j; + if (user && password) { + _driver = neo4j.driver(url, neo4j.auth.basic(user, password)); + } else { + _driver = neo4j.driver(url); + } return _driver; -} +}; export async function query(query: string, params?: any): Promise { const session = (await getClient()).session(); const r = await session.run(query, params); await session.close(); return parser.parse(r) as T[]; -} +}; -export function parseRecord(record: any): T { - return parser.parseRecord(record)._fields[0]; -} +export async function queryStream(query: string, onRecord: (r: T) => Promise): Promise { + return new Promise(async (resolve, reject) => { + const driver = await getClient(); + const session = driver.session(); + const result = session.run(query); + result.subscribe({ + onNext: (r: any) => onRecord(parseRecord(r)), + onCompleted: () => session.close().then(() => resolve()), + onError: reject, + }); + }); +}; + +export function parseRecord(r: any): T { + const item = parser.parseRecord(r); + const ret: any = {}; + for (const key of item.keys) { + ret[key] = item._fields[item._fieldLookup[key]]; + } + return ret; +}; diff --git a/src/label_data_utils.ts b/src/label_data_utils.ts index 8d365bfa8..b4e2d7ff1 100644 --- a/src/label_data_utils.ts +++ b/src/label_data_utils.ts @@ -2,29 +2,43 @@ import { readdirSync, statSync } from 'fs'; import path from 'path'; import { readFileAsObj } from './utils'; +export type PlatformNames = 'GitHub' | 'Gitee' | 'AtomGit' | 'GitLab.com' | 'GitLab.cn' | 'Gitea'; + const labelInputDir = '../labeled_data'; const labelInputPath = path.join(__dirname, labelInputDir); -const supportedTypes = new Set([ - 'Region', 'Company', 'Community', 'Project', 'Foundation', 'Tech-0', 'Tech-1', 'Tech-2', 'Domain-0', 'Bot' -]); - -const supportedKey = new Set([ - 'label', 'github_repo', 'github_org', 'github_user' -]); -interface GitHubData { - githubRepos: number[], - githubOrgs: number[], - githubUsers: number[], +const checkKeysAndTypes = { + labelTypes: new Set([ + 'Region', 'Company', 'Community', 'Project', 'Foundation', 'Tech-0', 'Tech-1', 'Tech-2', 'Domain-0', 'Bot' + ]), + labelKeys: new Set([ + 'labels', 'platforms' + ]), + platformsNames: new Set([ + 'GitHub', 'Gitee', 'AtomGit', 'GitLab.com', 'GitLab.cn', 'Gitea', + ]), + platformTypes: new Set([ + 'Code Hosting' + ]), + platformKeys: new Set([ + 'repos', 'orgs', 'users' + ]), +}; + +interface CodeHostingPlatformItem { + id: number; + name: string; } -const emptyData: GitHubData = { - githubRepos: [], - githubOrgs: [], - githubUsers: [], -}; +interface CodeHostingPlatformData { + name: string; + type: string; + orgs: CodeHostingPlatformItem[], + repos: CodeHostingPlatformItem[], + users: CodeHostingPlatformItem[], +} -interface LabelItem extends GitHubData { +interface LabelItem { identifier: string; content: { name: string; @@ -32,18 +46,19 @@ interface LabelItem extends GitHubData { data: any; }, parsed: boolean; + platforms: CodeHostingPlatformData[]; } -interface ParsedLabelItem extends GitHubData { +interface ParsedLabelItem { identifier: string; type: string; name: string; + platforms: CodeHostingPlatformData[]; } export function getLabelData(injectLabelData?: any[]): ParsedLabelItem[] { if (!statSync(labelInputPath).isDirectory()) { - console.error(`${labelInputPath} input path is not a directory.`); - return []; + throw new Error(`${labelInputPath} input path is not a directory.`); } const labelMap = new Map(); const indexFileName = `${path.sep}index.yml`; @@ -56,10 +71,8 @@ export function getLabelData(injectLabelData?: any[]): ParsedLabelItem[] { labelMap.set(identifier, { identifier, content, + platforms: [], parsed: false, - githubOrgs: [], - githubRepos: [], - githubUsers: [], }); }); const data = processLabelItems(labelMap); @@ -82,37 +95,54 @@ function processLabelItems(map: Map): ParsedLabelItem[] { parseItem(item, map); } return Array.from(map.values()).map(item => { - return { + const ret = { identifier: item.identifier, type: item.content.type, name: item.content.name, - githubRepos: Array.from(new Set(item.githubRepos)), - githubOrgs: Array.from(new Set(item.githubOrgs)), - githubUsers: Array.from(new Set(item.githubUsers)), + platforms: item.platforms, }; + return ret; }); } +function mergePlatforms(...platformsArray: CodeHostingPlatformData[][]) { + const platforms: CodeHostingPlatformData[] = []; + platformsArray.forEach(ps => { + ps.forEach(p => { + const platform = platforms.find(pp => pp.name === p.name && pp.type === p.type); + if (!platform) { + platforms.push(JSON.parse(JSON.stringify(p))); + } else { + ['orgs', 'repos', 'users'].forEach(key => { + if (p[key]) { + p[key].forEach(i => { + if (!platform[key].find(ii => ii.id === i.id)) platform[key].push(i); + }); + } + }); + } + }); + }); + return platforms; +} + function parseItem(item: LabelItem, map: Map) { if (item.parsed) return; - if (item.content.type && !supportedTypes.has(item.content.type)) { + if (item.content.type && !checkKeysAndTypes.labelTypes.has(item.content.type)) { throw new Error(`Not supported type ${item.content.type}`) } for (const key in item.content.data) { - if (!supportedKey.has(key)) { + if (!checkKeysAndTypes.labelKeys.has(key)) { throw new Error(`Not supported element=${key}, identifier=${item.identifier}`); } switch (key) { - case 'github_repo': - item.githubRepos.push(...item.content.data[key]); + case 'platforms': + // process platforms first + const platforms = JSON.parse(JSON.stringify(item.content.data[key])); + item.platforms = mergePlatforms(item.platforms, platforms); + ['orgs', 'repos', 'users'].forEach(k => item.platforms.forEach(p => p[k] = p[k] ?? [])); break; - case 'github_org': - item.githubOrgs.push(...item.content.data[key]); - break; - case 'github_user': - item.githubUsers.push(...item.content.data[key]); - break; - case 'label': + case 'labels': const labels: string[] = item.content.data[key]; for (const label of labels) { const identifier = label.startsWith(':') ? label : processLabelIdentifier(path.join(item.identifier, label)); @@ -123,9 +153,9 @@ function parseItem(item: LabelItem, map: Map) { if (!innerItem.parsed) { parseItem(innerItem, map); } - item.githubOrgs.push(...innerItem.githubOrgs); - item.githubRepos.push(...innerItem.githubRepos); - item.githubUsers.push(...innerItem.githubUsers); + + // merge platforms + item.platforms = mergePlatforms(item.platforms, innerItem.platforms); } break; default: @@ -139,26 +169,27 @@ function processLabelIdentifier(identifier: string): string { return identifier.split(path.sep).join(path.posix.sep); } -function labelDataToGitHubData(data: ParsedLabelItem[]): GitHubData { - const repoSet = new Set(); - const orgSet = new Set(); - const userSet = new Set(); +function labelDataToPlatformData(data: ParsedLabelItem[]): CodeHostingPlatformData[] { + const ret = new Map(); for (const item of data) { - item.githubRepos.forEach(r => repoSet.add(r)); - item.githubOrgs.forEach(o => orgSet.add(o)); - item.githubUsers.forEach(u => userSet.add(u)); + item.platforms.filter(p => p.type === 'Code Hosting').forEach(p => { + const platform = ret.get(p.name); + if (!platform) { + ret.set(p.name, p); + } else { + platform.orgs = Array.from(new Set(platform.orgs.concat(p.orgs))); + platform.repos = Array.from(new Set(platform.repos.concat(p.repos))); + platform.users = Array.from(new Set(platform.users.concat(p.users))); + } + }); } - return { - githubRepos: Array.from(repoSet), - githubOrgs: Array.from(orgSet), - githubUsers: Array.from(userSet), - }; + return Array.from(ret.values()); } -export function getGitHubData(typeOrIds: string[], injectLabelData?: any[]): GitHubData { - if (typeOrIds.length === 0) return emptyData; +export function getPlatformData(typeOrIds: string[], injectLabelData?: any[]): CodeHostingPlatformData[] { + if (typeOrIds.length === 0) return []; const data = getLabelData(injectLabelData); - if (!data) return emptyData; + if (!data) return []; const arr = data.filter(i => typeOrIds.includes(i.type) || typeOrIds.includes(i.identifier)); - return labelDataToGitHubData(arr); + return labelDataToPlatformData(arr); } diff --git a/src/metrics/basic.ts b/src/metrics/basic.ts index 16eb05b77..4cfeb0c3c 100644 --- a/src/metrics/basic.ts +++ b/src/metrics/basic.ts @@ -1,16 +1,19 @@ import { merge } from 'lodash'; import { query } from '../db/clickhouse'; -import { getGitHubData, getLabelData } from '../label_data_utils'; +import { getPlatformData, getLabelData, PlatformNames } from '../label_data_utils'; export interface QueryConfig { labelUnion?: string[]; labelIntersect?: string[]; - repoIds?: number[]; - orgIds?: number[]; - repoNames?: string[]; - orgNames?: string[]; - userIds?: number[]; - userLogins?: string[]; + idOrNames?: { + platform: PlatformNames; + repoIds?: number[]; + orgIds?: number[]; + repoNames?: string[]; + orgNames?: string[]; + userIds?: number[]; + userLogins?: string[]; + }[]; whereClause?: string; startYear: number; startMonth: number; @@ -39,13 +42,13 @@ export const getMergedConfig = (config: any): QueryConfig => { precision: 2, }; return merge(defaultConfig, config); -} +}; export interface TimeDurationOption { unit: 'week' | 'day' | 'hour' | 'minute'; thresholds: number[]; sortBy: 'avg' | 'levels' | 'quantile_0' | 'quantile_1' | 'quantile_2' | 'quantile_3' | 'quantile_4' -} +}; export const timeDurationConstants = { unitArray: ['week', 'day', 'hour', 'minute'], @@ -55,7 +58,7 @@ export const timeDurationConstants = { export const forEveryMonthByConfig = async (config: QueryConfig, func: (y: number, m: number) => Promise) => { return forEveryMonth(config.startYear, config.startMonth, config.endYear, config.endMonth, func); -} +}; export const forEveryMonth = async (startYear: number, startMonth: number, endYear: number, endMonth: number, func: (y: number, m: number) => Promise) => { for (let y = startYear; y <= endYear; y++) { @@ -64,7 +67,7 @@ export const forEveryMonth = async (startYear: number, startMonth: number, endYe await func(y, m); } } -} +}; export const forEveryQuarterByConfig = async (config: QueryConfig, func: (y: number, q: number) => Promise) => { const quarters: { y: number, q: number }[] = []; @@ -79,7 +82,7 @@ export const forEveryQuarterByConfig = async (config: QueryConfig, func: (y: num for (const i of quarters) { await func(i.y, i.q); } -} +}; export const forEveryYearByConfig = async (config: QueryConfig, func: (y: number) => Promise) => { const years: number[] = []; @@ -93,209 +96,151 @@ export const forEveryYearByConfig = async (config: QueryConfig, func: (y: number for (const y of years) { await func(y); } -} +}; // Repo -export const getRepoWhereClauseForNeo4j = (config: QueryConfig): string | null => { +export const getRepoWhereClause = async (config: QueryConfig): Promise => { const repoWhereClauseArray: string[] = []; - if (config.repoIds) repoWhereClauseArray.push(`r.id IN [${config.repoIds.join(',')}]`); - if (config.repoNames) repoWhereClauseArray.push(`r.name IN [${config.repoNames.map(n => `'${n}'`)}]`); - if (config.orgIds) repoWhereClauseArray.push(`r.org_id IN [${config.orgIds.join(',')}]`); - if (config.orgNames) repoWhereClauseArray.push(`r.org_name IN [${config.orgNames.map(o => `'${o}'`)}]`); - if (config.labelIntersect) { - return '(' + config.labelIntersect.map(l => { - const data = getGitHubData([l], config.injectLabelData); - const arr: string[] = []; - if (data.githubRepos.length > 0) arr.push(`r.id IN [${data.githubRepos.join(',')}]`); - if (data.githubOrgs.length > 0) arr.push(`r.org_id IN [${data.githubOrgs.join(',')}]`); - if (arr.length === 0) return null; - return `(${arr.join(' OR ')})`; - }).filter(i => i !== null).join(' AND ') + ')'; - } - if (config.labelUnion) { - const data = getGitHubData(config.labelUnion, config.injectLabelData); - if (data.githubRepos.length > 0) repoWhereClauseArray.push(`r.id IN [${data.githubRepos.join(',')}]`); - if (data.githubOrgs.length > 0) repoWhereClauseArray.push(`r.org_id IN [${data.githubOrgs.join(',')}]`); - } - if (config.whereClause) { - repoWhereClauseArray.push(config.whereClause); - } - const repoWhereClause = repoWhereClauseArray.length > 0 ? `(${repoWhereClauseArray.join(' OR ')})` : null; - return repoWhereClause; -} -export const getRepoWhereClauseForClickhouse = async (config: QueryConfig): Promise => { - const repoWhereClauseArray: string[] = []; - if (config.repoNames) { - // convert repo name to id - const sql = `SELECT any(repo_id) AS id FROM gh_events WHERE repo_name IN [${config.repoNames.map(n => `'${n}'`)}] GROUP BY repo_name`; - const repoIds = (await query(sql, { format: 'JSONEachRow' })).map(r => r.id); - if (config.repoIds) { - config.repoIds.push(...repoIds); - } else { - config.repoIds = repoIds; - } - } - if (config.repoIds) repoWhereClauseArray.push(`repo_id IN [${config.repoIds.join(',')}]`); - - if (config.orgNames) { - // convert org name to id - const sql = `SELECT any(org_id) AS id FROM gh_events WHERE org_login IN [${config.orgNames.map(n => `'${n}'`)}] GROUP BY org_login`; - const orgIds = (await query(sql, { format: 'JSONEachRow' })).map(r => r.id); - if (config.orgIds) { - config.orgIds.push(...orgIds); - } else { - config.orgIds = orgIds; + // id or names + if (config.idOrNames && Array.isArray(config.idOrNames) && config.idOrNames.length > 0) { + for (const p of config.idOrNames) { + if (p.repoNames && p.repoNames.length > 0) { + // convert repo name to id + const sql = `SELECT any(repo_id) AS id FROM events WHERE repo_name IN [${p.repoNames.map(n => `'${n}'`)}] AND platform='${p.platform}' GROUP BY repo_name`; + const repoIds = (await query(sql, { format: 'JSONEachRow' })).map(r => r.id); + repoWhereClauseArray.push(`(repo_id IN [${repoIds.join(',')}] AND platform='${p.platform}')`); + } + + if (p.repoIds && p.repoIds.length > 0) repoWhereClauseArray.push(`(repo_id IN [${p.repoIds.join(',')}] AND platform='${p.platform}')`); + + if (p.orgNames && p.orgNames.length > 0) { + // convert org name to id + const sql = `SELECT any(org_id) AS id FROM events WHERE org_login IN [${p.orgNames.map(n => `'${n}'`)}] AND platform='${p.platform}' GROUP BY org_login`; + const orgIds = (await query(sql, { format: 'JSONEachRow' })).map(r => r.id); + repoWhereClauseArray.push(`(org_id IN [${orgIds.join(',')}] AND platform='${p.platform}')`); + } + + if (p.orgIds && p.orgIds.length > 0) repoWhereClauseArray.push(`(org_id IN [${p.orgIds.join(',')}] AND platform='${p.platform}')`); } } - if (config.orgIds) repoWhereClauseArray.push(`org_id IN [${config.orgIds.join(',')}]`); + // label intersect if (config.labelIntersect) { - return '(' + config.labelIntersect.map(l => { - const data = getGitHubData([l], config.injectLabelData); + const condition = '(' + config.labelIntersect.map(l => { + const data = getPlatformData([l], config.injectLabelData); const arr: string[] = []; - if (data.githubRepos.length > 0) arr.push(`repo_id IN [${data.githubRepos.join(',')}]`); - if (data.githubOrgs.length > 0) arr.push(`org_id IN [${data.githubOrgs.join(',')}]`); + for (const p of data) { + if (p.repos.length > 0) arr.push(`(repo_id IN [${p.repos.map(r => r.id).join(',')}] AND platform='${p.name}')`); + if (p.orgs.length > 0) arr.push(`(org_id IN [${p.orgs.map(o => o.id).join(',')}] AND platform='${p.name}')`); + } if (arr.length === 0) return null; return `(${arr.join(' OR ')})`; }).filter(i => i !== null).join(' AND ') + ')'; - } + repoWhereClauseArray.push(condition); + }; + + // label union if (config.labelUnion) { - const data = getGitHubData(config.labelUnion, config.injectLabelData); - if (data.githubRepos.length > 0) repoWhereClauseArray.push(`repo_id IN [${data.githubRepos.join(',')}]`); - if (data.githubOrgs.length > 0) repoWhereClauseArray.push(`org_id IN [${data.githubOrgs.join(',')}]`); + const data = getPlatformData(config.labelUnion, config.injectLabelData); + for (const p of data) { + if (p.repos.length > 0) repoWhereClauseArray.push(`(repo_id IN [${p.repos.map(r => r.id).join(',')}] AND platform='${p.name}')`); + if (p.orgs.length > 0) repoWhereClauseArray.push(`(org_id IN [${p.orgs.map(o => o.id).join(',')}] AND platform='${p.name}')`); + } } + + // where clause if (config.whereClause) { repoWhereClauseArray.push(config.whereClause); } + const repoWhereClause = repoWhereClauseArray.length > 0 ? `(${repoWhereClauseArray.join(' OR ')})` : null; return repoWhereClause; -} +}; // User -export const getUserWhereClauseForNeo4j = (config: QueryConfig): string | null => { +export const getUserWhereClause = async (config: QueryConfig): Promise => { const userWhereClauseArray: string[] = []; - if (config.userIds) userWhereClauseArray.push(`u.id IN [${config.userIds.join(',')}]`); - if (config.userLogins) userWhereClauseArray.push(`u.login IN [${config.userLogins.map(n => `'${n}'`)}]`); - if (config.labelIntersect) { - return '(' + config.labelIntersect.map(l => { - const data = getGitHubData([l], config.injectLabelData); - if (data.githubUsers.length > 0) return `u.id IN [${data.githubUsers.join(',')}]`; - return null; - }).filter(i => i !== null).join(' AND ') + ')'; - } - if (config.labelUnion) { - const data = getGitHubData(config.labelUnion, config.injectLabelData); - if (data.githubUsers.length > 0) userWhereClauseArray.push(`u.id IN [${data.githubUsers.join(',')}]`); - } - if (config.whereClause) { - userWhereClauseArray.push(config.whereClause); - } - const userWhereClause = userWhereClauseArray.length > 0 ? `(${userWhereClauseArray.join(' OR ')})` : null; - return userWhereClause; -} -export const getUserWhereClauseForClickhouse = async (config: QueryConfig): Promise => { - const userWhereClauseArray: string[] = []; - if (config.userLogins) { - // convert user login to id - const sql = `SELECT any(actor_id) AS id FROM gh_events WHERE actor_login IN [${config.userLogins.map(n => `'${n}'`)}] GROUP BY actor_login`; - const userIds = (await query(sql, { format: 'JSONEachRow' })).map(r => r.id); - if (config.userIds) { - config.userIds.push(...userIds); - } else { - config.userIds = userIds; + // id or names + if (config.idOrNames && Array.isArray(config.idOrNames) && config.idOrNames.length > 0) { + for (const p of config.idOrNames) { + if (p.userLogins && p.userLogins.length > 0) { + // convert user login to id + const sql = `SELECT any(actor_id) AS id FROM events WHERE actor_login IN [${p.userLogins.map(n => `'${n}'`)}] AND platform='${p.platform}' GROUP BY actor_login`; + const userIds = (await query(sql, { format: 'JSONEachRow' })).map(r => r.id); + userWhereClauseArray.push(`(actor_id IN [${userIds.join(',')}] AND platform='${p.platform}')`); + } + + if (p.userIds && p.userIds.length > 0) userWhereClauseArray.push(`(actor_id IN [${p.userIds.join(',')}] AND platform='${p.platform}')`); } } - if (config.userIds) userWhereClauseArray.push(`actor_id IN [${config.userIds.join(',')}]`); + + // label intersect if (config.labelIntersect) { - return '(' + config.labelIntersect.map(l => { - const data = getGitHubData([l], config.injectLabelData); - if (data.githubUsers.length > 0) return `actor_id IN [${data.githubUsers.join(',')}]`; - return null; + const condition = '(' + config.labelIntersect.map(l => { + const data = getPlatformData([l], config.injectLabelData); + const arr: string[] = []; + for (const p of data) { + if (p.users.length > 0) arr.push(`(actor_id IN [${p.users.map(u => u.id).join(',')}] AND platform='${p.name}')`); + } + if (arr.length === 0) return null; + return `(${arr.join(' OR ')})`; }).filter(i => i !== null).join(' AND ') + ')'; + userWhereClauseArray.push(condition); } + + // label union if (config.labelUnion) { - const data = getGitHubData(config.labelUnion, config.injectLabelData); - if (data.githubUsers.length > 0) userWhereClauseArray.push(`actor_id IN [${data.githubUsers.join(',')}]`); + const data = getPlatformData(config.labelUnion, config.injectLabelData); + for (const p of data) { + if (p.users.length > 0) userWhereClauseArray.push(`(actor_id IN [${p.users.map(u => u.id).join(',')}] AND platform='${p.name}')`); + } } + + // where clause if (config.whereClause) { userWhereClauseArray.push(config.whereClause); } + const userWhereClause = userWhereClauseArray.length > 0 ? `(${userWhereClauseArray.join(' OR ')})` : null; return userWhereClause; -} - -// Time -export const getTimeRangeWhereClauseForNeo4j = async (config: QueryConfig, type: string): Promise => { - const timeWhereClauseArray: string[] = []; - await forEveryMonthByConfig(config, async (y, m) => timeWhereClauseArray.push(`${type}.activity_${y}${m} > 0`)); - if (timeWhereClauseArray.length === 0) throw new Error('Not valid time range.'); - const timeWhereClause = `(${timeWhereClauseArray.join(' OR ')})`; - return timeWhereClause; -} - -export const getTimeRangeSumClauseForNeo4j = async (config: QueryConfig, type: string): Promise => { - const timeRangeSumClauseArray: string[][] = []; - if (config.groupTimeRange === 'month') { - // for every month individual, every element belongs to a individual element - await forEveryMonthByConfig(config, async (y, m) => timeRangeSumClauseArray.push([`COALESCE(${type}_${y}${m}, 0.0)`])); - } else if (config.groupTimeRange === 'quarter') { - // for every quarter, need to find out when to push a new element by quarter - let lastQuarter = 0; - await forEveryMonthByConfig(config, async (y, m) => { - const q = Math.ceil(m / 3); - if (q !== lastQuarter) timeRangeSumClauseArray.push([]); - timeRangeSumClauseArray[timeRangeSumClauseArray.length - 1].push(`COALESCE(${type}_${y}${m}, 0.0)`); - lastQuarter = q; - }); - } else if (config.groupTimeRange === 'year') { - // for every year, need to find out when to push a new element by the year; - let lastYear = 0; - await forEveryMonthByConfig(config, async (y, m) => { - if (y !== lastYear) timeRangeSumClauseArray.push([]); - timeRangeSumClauseArray[timeRangeSumClauseArray.length - 1].push(`COALESCE(${type}_${y}${m}, 0.0)`); - lastYear = y; - }); - } else { - // for all to single one, push to the first element - timeRangeSumClauseArray.push([]); - await forEveryMonthByConfig(config, async (y, m) => timeRangeSumClauseArray[0].push(`COALESCE(${type}_${y}${m}, 0.0)`)); - } - if (timeRangeSumClauseArray.length === 0) throw new Error('Not valid time range.'); - const timeRangeSumClause = timeRangeSumClauseArray.map(i => `round(${i.join(' + ')}, ${config.precision})`); - return timeRangeSumClause; -} +}; -export const getTimeRangeWhereClauseForClickhouse = (config: QueryConfig): string => { +export const getTimeRangeWhereClause = (config: QueryConfig): string => { return ` created_at >= toDate('${config.startYear}-${config.startMonth}-1') AND created_at < dateAdd(month, 1, toDate('${config.endYear}-${config.endMonth}-1'))`; -} +}; // clickhouse label group condition -export const getLabelGroupConditionClauseForClickhouse = (config: QueryConfig): string => { +export const getLabelGroupConditionClause = (config: QueryConfig): string => { const labelData = getLabelData(config.injectLabelData)?.filter(l => l.type === config.groupBy); if (!labelData || labelData.length === 0) throw new Error(`Invalide group by label: ${config.groupBy}`); - const idLabelRepoMap = new Map(); - const idLabelOrgMap = new Map(); - const idLabelUserMap = new Map(); - const addToMap = (map: Map, id: number, label: string[]) => { + const idLabelRepoMap = new Map(); + const idLabelOrgMap = new Map(); + const idLabelUserMap = new Map(); + const addToMap = (map: Map, id: string, label: string[]) => { if (!map.has(id)) map.set(id, []); map.get(id)!.push(label); }; labelData.forEach(l => { - l.githubOrgs.forEach(id => addToMap(idLabelOrgMap, id, [l.identifier, l.name])); - l.githubRepos.forEach(id => addToMap(idLabelRepoMap, id, [l.identifier, l.name])); - l.githubUsers.forEach(id => addToMap(idLabelUserMap, id, [l.identifier, l.name])); + l.platforms.forEach(p => { + p.repos.forEach(r => addToMap(idLabelRepoMap, `${p.name}_${r.id}`, [l.identifier, l.name])); + p.orgs.forEach(o => addToMap(idLabelOrgMap, `${p.name}_${o.id}`, [l.identifier, l.name])); + p.users.forEach(u => addToMap(idLabelUserMap, `${p.name}_${u.id}`, [l.identifier, l.name])); + }); }); - const resultMap = new Map(); - const addToResultMap = (map: Map, id: number, labels: string[][], type: 'repo' | 'org' | 'user') => { + type resultMapType = Map }>; + const resultMap: resultMapType = new Map(); + const addToResultMap = (map: resultMapType, id: string, labels: string[][], type: 'repo' | 'org' | 'user') => { const key = labels[0].toString(); - if (!map.has(key)) map.set(key, { labels, repoIds: [], orgIds: [], userIds: [] }); - if (type === 'repo') map.get(key)!.repoIds.push(id); - else if (type === 'org') map.get(key)!.orgIds.push(id); - else if (type === 'user') map.get(key)!.userIds.push(id); + if (!map.has(key)) map.set(key, { labels, platforms: new Map() }); + const [platform, entryId] = id.split('_'); + if (!map.get(key)!.platforms.has(platform)) map.get(key)!.platforms.set(platform, { repoIds: [], orgIds: [], userIds: [] }); + if (type === 'repo') map.get(key)!.platforms.get(platform)!.repoIds.push(+entryId); + else if (type === 'org') map.get(key)!.platforms.get(platform)!.orgIds.push(+entryId); + else if (type === 'user') map.get(key)!.platforms.get(platform)!.userIds.push(+entryId); } idLabelRepoMap.forEach((labels, id) => addToResultMap(resultMap, id, labels, 'repo')); idLabelOrgMap.forEach((labels, id) => addToResultMap(resultMap, id, labels, 'org')); @@ -303,16 +248,18 @@ export const getLabelGroupConditionClauseForClickhouse = (config: QueryConfig): const idConditions = Array.from(resultMap.values()).map(v => { const c: string[] = []; - if (v.orgIds.length > 0) c.push(`org_id IN (${v.orgIds.join(',')})`); - if (v.repoIds.length > 0) c.push(`repo_id IN (${v.repoIds.join(',')})`); - if (v.userIds.length > 0) c.push(`actor_id IN (${v.userIds.join(',')})`); + for (const [name, p] of v.platforms) { + if (p.repoIds.length > 0) c.push(`(repo_id IN (${p.repoIds.join(',')}) AND platform='${name}')`); + if (p.orgIds.length > 0) c.push(`(org_id IN (${p.orgIds.join(',')}) AND platform='${name}')`); + if (p.userIds.length > 0) c.push(`(actor_id IN (${p.userIds.join(',')}) AND platform='${name}')`); + } return `(${c.join(' OR ')}),[${v.labels.map(l => `tuple('${l[0]}','${l[1]}')`).join(',')}]`; }).join(','); return `(arrayJoin(multiIf(${idConditions}, [tuple('Others', 'Others')])) AS items).1 AS id, any(items.2) AS name`; -} +}; -export const getGroupArrayInsertAtClauseForClickhouse = (config: QueryConfig, option: { key: string; defaultValue?: string; value?: string; noPrecision?: boolean, positionByEndTime?: boolean }): string => { +export const getGroupArrayInsertAtClause = (config: QueryConfig, option: { key: string; defaultValue?: string; value?: string; noPrecision?: boolean, positionByEndTime?: boolean }): string => { let startTime = `toDate('${config.startYear}-${config.startMonth}-1')`; let endTime = `toDate('${config.endYear}-${config.endMonth}-1')`; return `groupArrayInsertAt( @@ -338,9 +285,9 @@ export const getGroupArrayInsertAtClauseForClickhouse = (config: QueryConfig, op else if (config.groupTimeRange === 'year') startTime = `toStartOfYear(${startTime})`; return `toUInt32(dateDiff('${config.groupTimeRange}', ${startTime}, time)${option.positionByEndTime ? '-1' : ''})`; })()}) AS ${option.key}` -} +}; -export const getGroupTimeClauseForClickhouse = (config: QueryConfig, timeCol: string = 'created_at'): string => { +export const getGroupTimeClause = (config: QueryConfig, timeCol: string = 'created_at'): string => { return `${(() => { let groupEle = `dateAdd(month, 1, toDate('${config.endYear}-${config.endMonth}-1'))`; // no time range, aggregate all data to a single value, use next month of end time to make sure time compare works. if (config.groupTimeRange === 'month') groupEle = `toStartOfMonth(${timeCol})`; @@ -348,29 +295,29 @@ export const getGroupTimeClauseForClickhouse = (config: QueryConfig, timeCol: st else if (config.groupTimeRange === 'year') groupEle = `toStartOfYear(${timeCol})`; return groupEle; })()} AS time`; -} +}; -export const getGroupIdClauseForClickhouse = (config: QueryConfig, type: string = 'repo', timeCol?: string) => { +export const getGroupIdClause = (config: QueryConfig, type: string = 'repo', timeCol?: string) => { return `${(() => { const timeColumn = timeCol ?? (config.groupTimeRange ? 'time' : 'created_at'); if (!config.groupBy) { // group by repo' if (type === 'repo') - return `repo_id AS id, argMax(repo_name, ${timeColumn}) AS name`; + return `repo_id AS id, platform, argMax(repo_name, ${timeColumn}) AS name`; else - return `actor_id AS id, argMax(actor_login, ${timeColumn}) AS name`; + return `actor_id AS id, platform, argMax(actor_login, ${timeColumn}) AS name`; } else if (config.groupBy === 'org') { - return `org_id AS id, argMax(org_login, ${timeColumn}) AS name`; + return `org_id AS id, platform, argMax(org_login, ${timeColumn}) AS name`; } else { // group by label - return getLabelGroupConditionClauseForClickhouse(config); + return getLabelGroupConditionClause(config); } })()}`; -} +}; export const getInnerOrderAndLimit = (config: QueryConfig, col: string, index?: number) => { return `${config.limitOption === 'each' && config.limit > 0 ? `${config.order ? `ORDER BY ${col}${index !== undefined ? `[${index}]` : ''} ${config.order}` : ''} LIMIT ${config.limit} BY time` : ''}` -} +}; export const getOutterOrderAndLimit = (config: QueryConfig, col: string, index?: number) => { return `${config.order ? `ORDER BY ${config.orderOption === 'latest' @@ -378,9 +325,37 @@ export const getOutterOrderAndLimit = (config: QueryConfig, col: string, index?: : `arraySum(${index !== undefined ? `x -> x[${index}],` : ''}${col})` } ${config.order}` : ''} ${config.limitOption === 'all' && config.limit > 0 ? `LIMIT ${config.limit}` : ''}`; -} +}; + +export const getTopLevelPlatform = (config: QueryConfig) => { + if (config.groupBy && config.groupBy !== 'org' && config.groupBy !== 'repo') { + return "'All' AS platform"; + } else { + return 'platform'; + } +}; + +export const getInnerGroupBy = (config: QueryConfig) => { + if (config.groupBy && config.groupBy !== 'org' && config.groupBy !== 'repo') { + return 'GROUP BY id, time'; + } else { + return 'GROUP BY id, platform, time'; + } +}; export const filterEnumType = (value: any, types: string[], defautlValue: string): string => { if (!value || !types.includes(value)) return defautlValue; return value; -} +}; + +export const processQueryResult = (result: any, customKeys: string[], + postProcessor?: { [key: string]: (value: any) => any }): any[] => { + const keys = ['id', 'platform', 'name', ...customKeys]; + return result.map((r: any) => { + const obj: any = {}; + keys.forEach((k, i) => { + obj[k] = postProcessor && postProcessor[k] ? postProcessor[k](r[i]) : r[i]; + }); + return obj; + }); +}; diff --git a/src/metrics/chaoss.ts b/src/metrics/chaoss.ts index 90e3e0f5d..33ea22f6b 100755 --- a/src/metrics/chaoss.ts +++ b/src/metrics/chaoss.ts @@ -1,9 +1,9 @@ import { filterEnumType, getMergedConfig, - getRepoWhereClauseForClickhouse, getTimeRangeWhereClauseForClickhouse, getUserWhereClauseForClickhouse, - getGroupArrayInsertAtClauseForClickhouse, getGroupTimeClauseForClickhouse, getGroupIdClauseForClickhouse, + getRepoWhereClause, getTimeRangeWhereClause, getUserWhereClause, + getGroupArrayInsertAtClause, getGroupTimeClause, getGroupIdClause, getInnerOrderAndLimit, getOutterOrderAndLimit, - QueryConfig, TimeDurationOption, timeDurationConstants, + QueryConfig, TimeDurationOption, timeDurationConstants, processQueryResult, getTopLevelPlatform, getInnerGroupBy, } from "./basic"; import * as clickhouse from '../db/clickhouse'; import { basicActivitySqlComponent } from "./indices"; @@ -12,38 +12,32 @@ import { basicActivitySqlComponent } from "./indices"; export const chaossTechnicalFork = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'ForkEvent'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); }; // Evolution - Code Development Activity @@ -54,38 +48,32 @@ interface CodeChangeCommitsOptions { export const chaossCodeChangeCommits = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PushEvent' "]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'commits_count', value: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'commits_count', value: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT(arrayJoin(${config.options?.messageFilter ? `arrayFilter(x -> match(x, '${config.options.messageFilter}'), push_commits.message)` : 'push_commits.message'})) AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'commits_count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); }; interface CodeChangeLinesOptions { @@ -95,20 +83,21 @@ export const chaossCodeChangeLines = async (config: QueryConfig { if (by === 'add') { return ` @@ -123,141 +112,116 @@ FROM minus(additions,deletions) AS lines ` } })()} - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'lines')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'code_change_lines')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, lines] = row; - return { - id, - name, - lines, - } - }); + return processQueryResult(result, ['lines']); }; // Evolution - Issue Resolution export const chaossIssuesNew = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'IssuesEvent' AND action IN ('opened', 'reopened')"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, SUM(count) AS total_count, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'issues_new_count', value: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'issues_new_count', value: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + GROUP BY id, platform, time ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'issues_new_count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, total_count, count] = row; - return { - id, - name, - total_count, - count, - ratio: count.map(v => `${(v * 100 / total_count).toPrecision(2)}%`), - } - }); + const ret = processQueryResult(result, ['total_count', 'count']); + ret.forEach(i => i.ratio = i.count.map(v => `${(v * 100 / i.total_count).toPrecision(2)}%`)); + return ret; }; export const chaossIssuesAndChangeRequestActive = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type IN ('IssuesEvent', 'IssueCommentEvent', 'PullRequestEvent')"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'active_count', value: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'active_count', value: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT(DISTINCT issue_number) AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + GROUP BY id, platform, time ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'active_count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); }; export const chaossIssuesClosed = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'IssuesEvent' AND action = 'closed'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, SUM(count) AS total_count, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'issues_close_count', value: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'issues_close_count', value: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + GROUP BY id, platform, time ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'issues_close_count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, total_count, count] = row; - return { - id, - name, - total_count, - count, - ratio: count.map(v => `${(v * 100 / total_count).toPrecision(2)}%`), - } - }); + const ret = processQueryResult(result, ['total_count', 'count']); + ret.forEach(i => i.ratio = i.count.map(v => `${(v * 100 / i.total_count).toPrecision(2)}%`)); + return ret; }; interface ResolutionDurationOptions extends TimeDurationOption { @@ -266,7 +230,7 @@ interface ResolutionDurationOptions extends TimeDurationOption { const chaossResolutionDuration = async (config: QueryConfig, type: 'issue' | 'change request') => { config = getMergedConfig(config); const whereClauses: string[] = type === 'issue' ? ["type = 'IssuesEvent'"] : ["type = 'PullRequestEvent'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); const endDate = new Date(`${config.endYear}-${config.endMonth}-1`); @@ -282,21 +246,23 @@ const chaossResolutionDuration = async (config: QueryConfig getGroupArrayInsertAtClauseForClickhouse(config, { key: `quantile_${q}`, defaultValue: 'NaN' })).join(',')} + ${getGroupArrayInsertAtClause(config, { key: `avg`, defaultValue: 'NaN' })}, + ${getGroupArrayInsertAtClause(config, { key: 'levels', value: 'resolution_levels', defaultValue: `[]`, noPrecision: true })}, + ${timeDurationConstants.quantileArray.map(q => getGroupArrayInsertAtClause(config, { key: `quantile_${q}`, defaultValue: 'NaN' })).join(',')} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config, byCol)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config, byCol)}, + ${getGroupIdClause(config)}, avg(resolution_duration) AS avg, ${timeDurationConstants.quantileArray.map(q => `quantile(${q / 4})(resolution_duration) AS quantile_${q}`).join(',')}, [${ranges.map((_t, i) => `countIf(resolution_level = ${i})`).join(',')}] AS resolution_levels FROM ( SELECT + platform, repo_id, argMax(repo_name, created_at) AS repo_name, org_id, @@ -307,32 +273,19 @@ FROM maxIf(created_at, action = 'closed') AS closed_at, dateDiff('${unit}', opened_at, closed_at) AS resolution_duration, multiIf(${thresholds.map((t, i) => `resolution_duration <= ${t}, ${i}`)}, ${thresholds.length}) AS resolution_level - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, org_id, issue_number + GROUP BY repo_id, org_id, issue_number, platform HAVING ${byCol} >= toDate('${config.startYear}-${config.startMonth}-1') AND ${byCol} < toDate('${endDate.getFullYear()}-${endDate.getMonth() + 1}-1') AND last_action='closed' ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'resolution_duration')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, sortBy, sortBy === 'levels' ? 1 : undefined)}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, avg, levels, quantile_0, quantile_1, quantile_2, quantile_3, quantile_4] = row; - return { - id, - name, - avg, - levels, - quantile_0, - quantile_1, - quantile_2, - quantile_3, - quantile_4, - }; - }); + return processQueryResult(result, ['avg', 'levels', 'quantile_0', 'quantile_1', 'quantile_2', 'quantile_3', 'quantile_4']); }; export const chaossIssueResolutionDuration = (config: QueryConfig) => @@ -344,7 +297,7 @@ export const chaossChangeRequestResolutionDuration = (config: QueryConfig, type: 'issue' | 'change request') => { config = getMergedConfig(config); const whereClauses: string[] = type === 'issue' ? ["type IN ('IssueCommentEvent', 'IssuesEvent') AND actor_login NOT LIKE '%[bot]'"] : ["type IN ('IssueCommentEvent', 'PullRequestEvent', 'PullRequestReviewCommentEvent', 'PullRequestReviewEvent') AND actor_login NOT LIKE '%[bot]'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); const endDate = new Date(`${config.endYear}-${config.endMonth}-1`); endDate.setMonth(config.endMonth); // find next month @@ -356,21 +309,23 @@ const chaossResponseTime = async (config: QueryConfig, type: const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time), - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: `avg`, defaultValue: 'NaN' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'levels', value: 'response_levels', defaultValue: `[]`, noPrecision: true })}, - ${timeDurationConstants.quantileArray.map(q => getGroupArrayInsertAtClauseForClickhouse(config, { key: `quantile_${q}`, defaultValue: 'NaN' })).join(',')} + ${getGroupArrayInsertAtClause(config, { key: `avg`, defaultValue: 'NaN' })}, + ${getGroupArrayInsertAtClause(config, { key: 'levels', value: 'response_levels', defaultValue: `[]`, noPrecision: true })}, + ${timeDurationConstants.quantileArray.map(q => getGroupArrayInsertAtClause(config, { key: `quantile_${q}`, defaultValue: 'NaN' })).join(',')} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config, 'issue_created_at')}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config, 'issue_created_at')}, + ${getGroupIdClause(config)}, avg(response_time) AS avg, ${timeDurationConstants.quantileArray.map(q => `quantile(${q / 4})(response_time) AS quantile_${q}`).join(',')}, [${ranges.map((_t, i) => `countIf(response_level = ${i})`).join(',')}] AS response_levels FROM ( SELECT + platform, repo_id, argMax(repo_name, created_at) AS repo_name, org_id, @@ -381,33 +336,20 @@ FROM if(responded_at = toDate('1970-01-01'), now(), responded_at) AS first_responded_at, dateDiff('${unit}', issue_created_at, first_responded_at) AS response_time, multiIf(${thresholds.map((t, i) => `response_time <= ${t}, ${i}`)}, ${thresholds.length}) AS response_level - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, org_id, issue_number + GROUP BY repo_id, org_id, issue_number, platform HAVING issue_created_at >= toDate('${config.startYear}-${config.startMonth}-1') AND issue_created_at < toDate('${endDate.getFullYear()}-${endDate.getMonth() + 1}-1') ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'response_time')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, sortBy, sortBy === 'levels' ? 1 : undefined)}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, avg, levels, quantile_0, quantile_1, quantile_2, quantile_3, quantile_4] = row; - return { - id, - name, - avg, - levels, - quantile_0, - quantile_1, - quantile_2, - quantile_3, - quantile_4, - }; - }); + return processQueryResult(result, ['avg', 'levels', 'quantile_0', 'quantile_1', 'quantile_2', 'quantile_3', 'quantile_4']); }; export const chaossIssueResponseTime = (config: QueryConfig) => chaossResponseTime(config, 'issue'); @@ -418,7 +360,7 @@ export const chaossChangeRequestResponseTime = (config: QueryConfig, type: 'issue' | 'change request') => { config = getMergedConfig(config); const whereClauses: string[] = type === 'issue' ? ["type='IssuesEvent'"] : ["type='PullRequestEvent'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); const endDate = new Date(`${config.endYear}-${config.endMonth}-1`); endDate.setMonth(config.endMonth); // find next month @@ -432,10 +374,11 @@ export const chaossAge = async (config: QueryConfig, type: ' const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time), - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: `avg`, defaultValue: 'NaN', positionByEndTime: true })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'levels', value: 'if(arrayAll(x -> x = 0, age_levels), [], age_levels)', defaultValue: `[]`, noPrecision: true, positionByEndTime: true })}, - ${timeDurationConstants.quantileArray.map(q => getGroupArrayInsertAtClauseForClickhouse(config, { key: `quantile_${q}`, defaultValue: 'NaN', positionByEndTime: true })).join(',')} + ${getGroupArrayInsertAtClause(config, { key: `avg`, defaultValue: 'NaN', positionByEndTime: true })}, + ${getGroupArrayInsertAtClause(config, { key: 'levels', value: 'if(arrayAll(x -> x = 0, age_levels), [], age_levels)', defaultValue: `[]`, noPrecision: true, positionByEndTime: true })}, + ${timeDurationConstants.quantileArray.map(q => getGroupArrayInsertAtClause(config, { key: `quantile_${q}`, defaultValue: 'NaN', positionByEndTime: true })).join(',')} FROM ( SELECT @@ -446,13 +389,14 @@ FROM return `${endTimeClause} AS time`; } })()}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupIdClause(config)}, avgIf(dateDiff('${unit}', opened_at, time), opened_at < time AND closed_at >= time) AS avg, ${timeDurationConstants.quantileArray.map(q => `quantileIf(${q / 4})(dateDiff('${unit}', opened_at, time), opened_at < time AND closed_at >= time) AS quantile_${q}`).join(',')}, [${ranges.map((_t, i) => `countIf(multiIf(${thresholds.map((t, i) => `dateDiff('${unit}', opened_at, time) <= ${t}, ${i}`)}, ${thresholds.length}) = ${i} AND opened_at < time AND closed_at >= time)`).join(',')}] AS age_levels FROM ( SELECT + platform, repo_id, argMax(repo_name, created_at) AS repo_name, org_id, @@ -461,32 +405,19 @@ FROM minIf(created_at, action = 'opened') AS opened_at, maxIf(created_at, action = 'closed') AS real_closed_at, if(real_closed_at=toDate('1970-1-1'), ${endTimeClause}, real_closed_at) AS closed_at - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, org_id, issue_number + GROUP BY repo_id, org_id, issue_number, platform HAVING opened_at > toDate('1970-01-01') ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'age')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, sortBy, sortBy === 'levels' ? 1 : undefined)}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, avg, levels, quantile_0, quantile_1, quantile_2, quantile_3, quantile_4] = row; - return { - id, - name, - avg, - levels, - quantile_0, - quantile_1, - quantile_2, - quantile_3, - quantile_4, - }; - }); + return processQueryResult(result, ['avg', 'levels', 'quantile_0', 'quantile_1', 'quantile_2', 'quantile_3', 'quantile_4']); }; export const chaossIssueAge = (config: QueryConfig) => chaossAge(config, 'issue'); @@ -497,81 +428,69 @@ export const chaossChangeRequestAge = (config: QueryConfig) export const chaossChangeRequestsAccepted = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PullRequestEvent' AND action = 'closed' AND pull_merged = 1"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, SUM(count) AS total_count, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'change_requests_accepted', value: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'change_requests_accepted', value: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'change_requests_accepted')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, total_count, count] = row; - return { - id, - name, - total_count, - count, - ratio: count.map(v => `${(v * 100 / total_count).toPrecision(2)}%`), - } - }); + const ret = processQueryResult(result, ['total_count', 'count']); + ret.forEach(i => i.ratio = i.count.map(v => `${(v * 100 / i.total_count).toPrecision(2)}%`)); + return ret; }; export const chaossChangeRequestsDeclined = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PullRequestEvent' AND action = 'closed' AND pull_merged = 0"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, SUM(count) AS total_count, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'change_requests_declined', value: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'change_requests_declined', value: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'change_requests_declined')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, total_count, count] = row; - return { - id, - name, - total_count, - count, - ratio: count.map(v => `${(v * 100 / total_count).toPrecision(2)}%`), - } - }); + const ret = processQueryResult(result, ['total_count', 'count']); + ret.forEach(i => i.ratio = i.count.map(v => `${(v * 100 / i.total_count).toPrecision(2)}%`)); + return ret; }; interface ChangeRequestsDurationOptions extends TimeDurationOption { @@ -580,7 +499,7 @@ interface ChangeRequestsDurationOptions extends TimeDurationOption { export const chaossChangeRequestsDuration = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PullRequestEvent' AND pull_merged = 1"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); const endDate = new Date(`${config.endYear}-${config.endMonth}-1`); @@ -596,21 +515,23 @@ export const chaossChangeRequestsDuration = async (config: QueryConfig getGroupArrayInsertAtClauseForClickhouse(config, { key: `quantile_${q}`, defaultValue: 'NaN' })).join(',')} + ${getGroupArrayInsertAtClause(config, { key: `avg`, defaultValue: 'NaN' })}, + ${getGroupArrayInsertAtClause(config, { key: 'levels', value: 'resolution_levels', defaultValue: `[]`, noPrecision: true })}, + ${timeDurationConstants.quantileArray.map(q => getGroupArrayInsertAtClause(config, { key: `quantile_${q}`, defaultValue: 'NaN' })).join(',')} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config, byCol)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config, byCol)}, + ${getGroupIdClause(config)}, avg(resolution_duration) AS avg, ${timeDurationConstants.quantileArray.map(q => `quantile(${q / 4})(resolution_duration) AS quantile_${q}`).join(',')}, [${ranges.map((_t, i) => `countIf(resolution_level = ${i})`).join(',')}] AS resolution_levels FROM ( SELECT + platform, repo_id, argMax(repo_name, created_at) AS repo_name, org_id, @@ -621,151 +542,118 @@ FROM maxIf(created_at, action = 'closed') AS closed_at, dateDiff('${unit}', opened_at, closed_at) AS resolution_duration, multiIf(${thresholds.map((t, i) => `resolution_duration <= ${t}, ${i}`)}, ${thresholds.length}) AS resolution_level - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, org_id, issue_number + GROUP BY repo_id, org_id, issue_number, platform HAVING ${byCol} >= toDate('${config.startYear}-${config.startMonth}-1') AND ${byCol} < toDate('${endDate.getFullYear()}-${endDate.getMonth() + 1}-1') AND last_action='closed' ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'resolution_duration')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, sortBy, sortBy === 'levels' ? 1 : undefined)}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, avg, levels, quantile_0, quantile_1, quantile_2, quantile_3, quantile_4] = row; - return { - id, - name, - avg, - levels, - quantile_0, - quantile_1, - quantile_2, - quantile_3, - quantile_4, - }; - }); + return processQueryResult(result, ['avg', 'levels', 'quantile_0', 'quantile_1', 'quantile_2', 'quantile_3', 'quantile_4']); }; export const chaossChangeRequestsAcceptanceRatio = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PullRequestEvent' AND action = 'closed' "]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'change_requests_accepted_ratio', value: 'ratio' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'change_requests_accepted', value: 'accepted_count' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'change_requests_declined', value: 'declined_count' })} + ${getGroupArrayInsertAtClause(config, { key: 'change_requests_accepted_ratio', value: 'ratio' })}, + ${getGroupArrayInsertAtClause(config, { key: 'change_requests_accepted', value: 'accepted_count' })}, + ${getGroupArrayInsertAtClause(config, { key: 'change_requests_declined', value: 'declined_count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count, countIf(pull_merged = 1) AS accepted_count, countIf(pull_merged = 0) AS declined_count, accepted_count/count AS ratio - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'ratio')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'change_requests_accepted_ratio')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, ratio, accepted_count, declined_count] = row; - return { - id, - name, - ratio, - accepted_count, - declined_count, - } - }); + return processQueryResult(result, ['ratio', 'accepted_count', 'declined_count']); }; // Evolution - Code Development Process Quality export const chaossChangeRequests = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PullRequestEvent' AND action = 'opened'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); } export const chaossChangeRequestReviews = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'PullRequestReviewCommentEvent'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); } // Risk - Business Risk @@ -788,22 +676,24 @@ export const chaossBusFactor = async (config: QueryConfig) => } else if (by === 'activity') { whereClauses.push("type IN ('IssuesEvent', 'IssueCommentEvent', 'PullRequestEvent', 'PullRequestReviewCommentEvent')"); } - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + platform, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'bus_factor', })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'detail', noPrecision: true, defaultValue: '[]' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'total_contributions' })} + ${getGroupArrayInsertAtClause(config, { key: 'bus_factor', })}, + ${getGroupArrayInsertAtClause(config, { key: 'detail', noPrecision: true, defaultValue: '[]' })}, + ${getGroupArrayInsertAtClause(config, { key: 'total_contributions' })} FROM ( SELECT time, id, + ${getTopLevelPlatform(config)}, any(name) AS name, SUM(count) AS total_contributions, length(detail) AS bus_factor, @@ -811,8 +701,8 @@ FROM FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, ${(() => { if (by === 'commit') { return ` @@ -830,28 +720,19 @@ FROM ` } })()} - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time, ${by === 'commit' ? 'author' : 'actor_id'} + ${getInnerGroupBy(config)}, ${by === 'commit' ? 'author' : 'actor_id'} ${(config.options?.withBot && by !== 'commit') ? '' : "HAVING " + (by === 'activity' ? 'actor_login' : 'author') + " NOT LIKE '%[bot]'"} ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'bus_factor')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'bus_factor')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, bus_factor, detail, total_contributions] = row; - return { - id, - name, - bus_factor, - detail, - total_contributions, - } - }); + return processQueryResult(result, ['bus_factor', 'detail', 'total_contributions']); }; interface NewContributorsOptions { @@ -870,25 +751,27 @@ export const chaossNewContributors = async (config: QueryConfig (x), groupArray(author))) AS detail FROM ( SELECT + platform, min(created_at) AS first_time, repo_id, argMax(repo_name, created_at) AS repo_name, @@ -908,7 +791,8 @@ export const chaossNewContributors = async (config: QueryConfig= toDate('${config.startYear}-${config.startMonth}-1') AND first_time < toDate('${endDate.getFullYear()}-${endDate.getMonth() + 1}-1') ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'new_contributor')} ) - GROUP BY id + GROUP BY id, platform ${getOutterOrderAndLimit(config, 'new_contributors')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, new_contributors, detail] = row; - return { - id, - name, - new_contributors, - detail, - } - }); + return processQueryResult(result, ['new_contributors', 'detail']); } interface InactiveContributorsOptions { @@ -977,20 +853,22 @@ export const chaossInactiveContributors = async (config: QueryConfig= dateSub(${timeIntervalUnit}, ${timeInterval}, time) AND created_at <= time) AS contributions FROM ( - SELECT + SELECT + platform, repo_id, repo_name, org_id, @@ -1019,28 +898,20 @@ FROM ${by === 'commit' ? 'arrayJoin(push_commits.name) AS author' : 'issue_author_id AS actor_id, issue_author_login AS author'}, created_at - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} ${(config.options?.withBot && by !== 'commit') ? '' : "HAVING author NOT LIKE '%[bot]'"} ) - GROUP BY id, ${by === 'commit' ? 'author' : 'actor_id'}, time + GROUP BY id, platform, ${by === 'commit' ? 'author' : 'actor_id'}, time ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'inactive_contributors')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'inactive_contributors')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, inactive_contributors, detail] = row; - return { - id, - name, - inactive_contributors, - detail, - } - }); + return processQueryResult(result, ['inactive_contributors', 'detail']); } interface ActiveDatesAndTimesOptions { @@ -1049,12 +920,12 @@ interface ActiveDatesAndTimesOptions { } export const chaossActiveDatesAndTimes = async (config: QueryConfig, type: 'user' | 'repo') => { config = getMergedConfig(config); - const whereClauses: string[] = [getTimeRangeWhereClauseForClickhouse(config)]; + const whereClauses: string[] = [getTimeRangeWhereClause(config)]; if (type === 'user') { - const userWhereClause = await getUserWhereClauseForClickhouse(config); + const userWhereClause = await getUserWhereClause(config); if (userWhereClause) whereClauses.push(userWhereClause); } else if (type === 'repo') { - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); } else { throw new Error(`Not supported type: ${type}`); @@ -1063,37 +934,31 @@ export const chaossActiveDatesAndTimes = async (config: QueryConfig ${config.options?.normalize ? `round(x*${config.options.normalize}/max(count))` : 'x'}, groupArrayInsertAt(0, 168)(count, toUInt32((day - 1) * 24 + hour))) AS count + SELECT platform, id, argMax(name, time) AS name, time, arrayMap(x -> ${config.options?.normalize ? `round(x*${config.options.normalize}/max(count))` : 'x'}, groupArrayInsertAt(0, 168)(count, toUInt32((day - 1) * 24 + hour))) AS count FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config, type)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config, type)}, toHour(created_at) AS hour, toDayOfWeek(created_at) AS day, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time, hour, day + GROUP BY id, platform, time, hour, day ORDER BY day, hour ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count', 1)} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count', 1)}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); } diff --git a/src/metrics/index.ts b/src/metrics/index.ts index 2bddd2a87..6bea01930 100755 --- a/src/metrics/index.ts +++ b/src/metrics/index.ts @@ -5,13 +5,11 @@ import { chaossChangeRequests, chaossChangeRequestReviews, chaossNewContributors, chaossChangeRequestsDuration, chaossIssueResponseTime, chaossChangeRequestsAcceptanceRatio, chaossIssuesAndChangeRequestActive, chaossActiveDatesAndTimes, chaossChangeRequestResolutionDuration, chaossChangeRequestResponseTime, chaossIssueAge, chaossChangeRequestAge, chaossInactiveContributors, } from './chaoss'; import { repoStars, repoIssueComments, repoParticipants, userEquivalentTimeZone, contributorEmailSuffixes } from './metrics'; -import { getRelatedUsers } from './related_users'; module.exports = { // index getRepoActivity: getRepoActivity, getRepoOpenrank: getRepoOpenrank, - getRelatedUsers: getRelatedUsers, getUserActivity: getUserActivity, getUserOpenrank: getUserOpenrank, getAttention: getAttention, diff --git a/src/metrics/indices.ts b/src/metrics/indices.ts index a0de773f9..bc6828aab 100644 --- a/src/metrics/indices.ts +++ b/src/metrics/indices.ts @@ -1,14 +1,17 @@ import { QueryConfig, getMergedConfig, - getRepoWhereClauseForClickhouse, - getUserWhereClauseForClickhouse, - getTimeRangeWhereClauseForClickhouse, - getGroupArrayInsertAtClauseForClickhouse, - getGroupTimeClauseForClickhouse, - getGroupIdClauseForClickhouse, + getRepoWhereClause, + getUserWhereClause, + getTimeRangeWhereClause, + getGroupArrayInsertAtClause, + getGroupTimeClause, + getGroupIdClause, getInnerOrderAndLimit, - getOutterOrderAndLimit + getOutterOrderAndLimit, + processQueryResult, + getTopLevelPlatform, + getInnerGroupBy } from './basic'; import * as clickhouse from '../db/clickhouse'; @@ -21,78 +24,66 @@ export const PULL_MERGED_WEIGHT = 2; export const getRepoOpenrank = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClause: string[] = []; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClause.push(repoWhereClause); - const timeRangeClause = getTimeRangeWhereClauseForClickhouse(config); + const timeRangeClause = getTimeRangeWhereClause(config); if (timeRangeClause) whereClause.push(timeRangeClause); + whereClause.push("type='Repo'"); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'openrank' })} + ${getGroupArrayInsertAtClause(config, { key: 'openrank' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, SUM(openrank) AS openrank - FROM gh_repo_openrank + FROM global_openrank WHERE ${whereClause.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'openrank')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'openrank')}`; - const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, openrank] = row; - return { - id, - name, - openrank, - } - }); + return processQueryResult(result, ['openrank']); } export const getUserOpenrank = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClause: string[] = []; - const userWhereClause = await getUserWhereClauseForClickhouse(config); + const userWhereClause = await getUserWhereClause(config); if (userWhereClause) whereClause.push(userWhereClause); - const timeRangeClause = getTimeRangeWhereClauseForClickhouse(config); + const timeRangeClause = getTimeRangeWhereClause(config); if (timeRangeClause) whereClause.push(timeRangeClause); + whereClause.push("type='User'"); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'openrank' })} + ${getGroupArrayInsertAtClause(config, { key: 'openrank' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config, 'user')}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config, 'user')}, SUM(openrank) AS openrank - FROM gh_user_openrank + FROM global_openrank WHERE ${whereClause.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'openrank')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'openrank')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, openrank] = row; - return { - id, - name, - openrank, - } - }); - + return processQueryResult(result, ['openrank']); } export const basicActivitySqlComponent = ` @@ -112,28 +103,29 @@ interface RepoActivityOption { export const getRepoActivity = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type IN ('IssuesEvent', 'IssueCommentEvent', 'PullRequestEvent', 'PullRequestReviewCommentEvent')"]; // specify types to reduce memory usage and calculation - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const developerDetail = config.options?.developerDetail; const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'activity', value: 'agg_activity' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'participants' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'issue_comment' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'open_issue' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'open_pull' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'review_comment' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'merged_pull' })} - ${developerDetail === true ? ',' + getGroupArrayInsertAtClauseForClickhouse(config, { key: 'details', noPrecision: true, defaultValue: '[]' }) : ''} + ${getGroupArrayInsertAtClause(config, { key: 'activity', value: 'agg_activity' })}, + ${getGroupArrayInsertAtClause(config, { key: 'participants' })}, + ${getGroupArrayInsertAtClause(config, { key: 'issue_comment' })}, + ${getGroupArrayInsertAtClause(config, { key: 'open_issue' })}, + ${getGroupArrayInsertAtClause(config, { key: 'open_pull' })}, + ${getGroupArrayInsertAtClause(config, { key: 'review_comment' })}, + ${getGroupArrayInsertAtClause(config, { key: 'merged_pull' })} + ${developerDetail === true ? ',' + getGroupArrayInsertAtClause(config, { key: 'details', noPrecision: true, defaultValue: '[]' }) : ''} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config, 'month')}, - ${getGroupIdClauseForClickhouse(config, 'repo', 'month')}, + ${getGroupTimeClause(config, 'month')}, + ${getGroupIdClause(config, 'repo', 'month')}, ROUND(SUM(activity), 2) AS agg_activity, COUNT(actor_id) AS participants, SUM(issue_comment) AS issue_comment, @@ -146,36 +138,23 @@ FROM ( SELECT toStartOfMonth(created_at) AS month, + platform, repo_id, argMax(repo_name, created_at) AS repo_name, org_id, argMax(org_login, created_at) AS org_login, ${basicActivitySqlComponent} - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, org_id, actor_id, month + GROUP BY platform, repo_id, org_id, actor_id, month HAVING activity > 0 ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'agg_activity')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'activity')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, activity, participants, issue_comment, open_issue, open_pull, review_comment, merged_pull, details] = row; - return { - id, - name, - activity, - participants, - issue_comment, - open_issue, - open_pull, - review_comment, - merged_pull, - details, - } - }); + return processQueryResult(result, ['activity', 'participants', 'issue_comment', 'open_issue', 'open_pull', 'review_comment', 'merged_pull', 'details']); } interface UserActivityOption { @@ -184,27 +163,28 @@ interface UserActivityOption { export const getUserActivity = async (config: QueryConfig, withBot: boolean = true) => { config = getMergedConfig(config); const whereClauses: string[] = ["type IN ('IssuesEvent', 'IssueCommentEvent', 'PullRequestEvent', 'PullRequestReviewCommentEvent')"]; // specify types to reduce memory usage and calculation - const userWhereClause = await getUserWhereClauseForClickhouse(config); + const userWhereClause = await getUserWhereClause(config); if (userWhereClause) whereClauses.push(userWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const repoDetail = config.options?.repoDetail; const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'activity', value: 'agg_activity' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'issue_comment' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'open_issue' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'open_pull' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'review_comment' })}, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'merged_pull' })} - ${repoDetail === true ? ',' + getGroupArrayInsertAtClauseForClickhouse(config, { key: 'details', noPrecision: true, defaultValue: '[]' }) : ''} + ${getGroupArrayInsertAtClause(config, { key: 'activity', value: 'agg_activity' })}, + ${getGroupArrayInsertAtClause(config, { key: 'issue_comment' })}, + ${getGroupArrayInsertAtClause(config, { key: 'open_issue' })}, + ${getGroupArrayInsertAtClause(config, { key: 'open_pull' })}, + ${getGroupArrayInsertAtClause(config, { key: 'review_comment' })}, + ${getGroupArrayInsertAtClause(config, { key: 'merged_pull' })} + ${repoDetail === true ? ',' + getGroupArrayInsertAtClause(config, { key: 'details', noPrecision: true, defaultValue: '[]' }) : ''} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config, 'month')}, - ${getGroupIdClauseForClickhouse(config, 'user')}, + ${getGroupTimeClause(config, 'month')}, + ${getGroupIdClause(config, 'user')}, ROUND(SUM(activity), 2) AS agg_activity, SUM(issue_comment) AS issue_comment, SUM(open_issue) AS open_issue, @@ -216,72 +196,54 @@ FROM ( SELECT toStartOfMonth(created_at) AS month, + platform, repo_id, argMax(repo_name, created_at) AS repo_name, ${basicActivitySqlComponent} - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, actor_id, month + GROUP BY platform, repo_id, actor_id, month HAVING activity > 0 ${withBot ? '' : `AND actor_login NOT LIKE '%[bot]'`} ) - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'agg_activity')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'activity')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, activity, issue_comment, open_issue, open_pull, review_comment, merged_pull, details] = row; - return { - id, - name, - activity, - issue_comment, - open_issue, - open_pull, - review_comment, - merged_pull, - details, - } - }); + return processQueryResult(result, ['activity', 'issue_comment', 'open_issue', 'open_pull', 'review_comment', 'merged_pull', 'details']); } export const getAttention = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type IN ('WatchEvent', 'ForkEvent')"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'attention' })} + ${getGroupArrayInsertAtClause(config, { key: 'attention' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, countIf(type='WatchEvent') AS stars, countIf(type='ForkEvent') AS forks, stars + 2 * forks AS attention - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'attention')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'attention')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, attention] = row; - return { - id, - name, - attention, - } - }); + return processQueryResult(result, ['attention']); }; diff --git a/src/metrics/metrics.ts b/src/metrics/metrics.ts index 139326066..aeba9e1d5 100755 --- a/src/metrics/metrics.ts +++ b/src/metrics/metrics.ts @@ -1,126 +1,111 @@ import { - getGroupArrayInsertAtClauseForClickhouse, - getGroupTimeClauseForClickhouse, - getGroupIdClauseForClickhouse, + getGroupArrayInsertAtClause, + getGroupTimeClause, + getGroupIdClause, getInnerOrderAndLimit, getMergedConfig, getOutterOrderAndLimit, - getRepoWhereClauseForClickhouse, - getTimeRangeWhereClauseForClickhouse, - getUserWhereClauseForClickhouse, - QueryConfig + getRepoWhereClause, + getTimeRangeWhereClause, + getUserWhereClause, + QueryConfig, + processQueryResult, + getTopLevelPlatform, + getInnerGroupBy } from "./basic"; import * as clickhouse from '../db/clickhouse'; export const repoStars = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'WatchEvent'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); }; export const repoIssueComments = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type = 'IssueCommentEvent' AND action = 'created'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT() AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); }; export const repoParticipants = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type IN ('IssuesEvent', 'IssueCommentEvent', 'PullRequestEvent', 'PullRequestReviewCommentEvent')"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'count' })} + ${getGroupArrayInsertAtClause(config, { key: 'count' })} FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, COUNT(DISTINCT actor_id) AS count - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY id, time + ${getInnerGroupBy(config)} ${getInnerOrderAndLimit(config, 'count')} ) -GROUP BY id +GROUP BY id, platform ${getOutterOrderAndLimit(config, 'count')}`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, count] = row; - return { - id, - name, - count, - } - }); + return processQueryResult(result, ['count']); }; interface EquivalentTimeZoneOptions { @@ -131,8 +116,8 @@ interface EquivalentTimeZoneOptions { } export const userEquivalentTimeZone = async (config: QueryConfig) => { config = getMergedConfig(config); - const whereClauses: string[] = [getTimeRangeWhereClauseForClickhouse(config)]; - const userWhereClause = await getUserWhereClauseForClickhouse(config); + const whereClauses: string[] = [getTimeRangeWhereClause(config)]; + const userWhereClause = await getUserWhereClause(config); if (userWhereClause) whereClauses.push(userWhereClause); const continousHours = config.options?.continousHours ?? 12; const startHour = config.options?.startHour ?? 9; @@ -148,12 +133,14 @@ export const userEquivalentTimeZone = async (config: QueryConfig { - const [id, name, time_zone] = row; - return { - id, - name, - time_zone, - } - }); + return processQueryResult(result, ['time_zone']); }; export const contributorEmailSuffixes = async (config: QueryConfig) => { config = getMergedConfig(config); const whereClauses: string[] = ["type='PushEvent'"]; - const repoWhereClause = await getRepoWhereClauseForClickhouse(config); + const repoWhereClause = await getRepoWhereClause(config); if (repoWhereClause) whereClauses.push(repoWhereClause); - whereClauses.push(getTimeRangeWhereClauseForClickhouse(config)); + whereClauses.push(getTimeRangeWhereClause(config)); const sql = ` SELECT id, + ${getTopLevelPlatform(config)}, argMax(name, time) AS name, - ${getGroupArrayInsertAtClauseForClickhouse(config, { key: 'suffixes', noPrecision: true, defaultValue: '[]' })} + ${getGroupArrayInsertAtClause(config, { key: 'suffixes', noPrecision: true, defaultValue: '[]' })} FROM ( SELECT - time, id, argMax(name, time) AS name, + time, id, platform, argMax(name, time) AS name, groupArray(DISTINCT suffix) AS distinct_suffixes, arraySort(x -> -tupleElement(x, 2), arrayZip(distinct_suffixes, arrayMap(s -> length(arrayFilter(x -> x = s, groupArray(suffix))), distinct_suffixes))) AS suffixes FROM ( SELECT - ${getGroupTimeClauseForClickhouse(config)}, - ${getGroupIdClauseForClickhouse(config)}, + ${getGroupTimeClause(config)}, + ${getGroupIdClause(config)}, anyHeavy(arrayJoin(arrayMap(x -> splitByChar('@', x)[2], push_commits.email))) AS suffix, arrayJoin(push_commits.name) AS author - FROM gh_events + FROM events WHERE ${whereClauses.join(' AND ')} - GROUP BY repo_id, org_id, author, time + GROUP BY platform, repo_id, org_id, author, time ) - GROUP BY id, time + ${getInnerGroupBy(config)} ) -GROUP BY id`; +GROUP BY id, platform`; const result: any = await clickhouse.query(sql); - return result.map(row => { - const [id, name, suffixes] = row; - return { - id, - name, - suffixes, - } - }); + return processQueryResult(result, ['suffixes']); } diff --git a/src/metrics/related_users.ts b/src/metrics/related_users.ts deleted file mode 100644 index 25ce31d0a..000000000 --- a/src/metrics/related_users.ts +++ /dev/null @@ -1,10 +0,0 @@ -import { QueryConfig, getMergedConfig, getRepoWhereClauseForNeo4j, getTimeRangeWhereClauseForNeo4j } from './basic'; -import * as neo4j from '../db/neo4j' - -export const getRelatedUsers = async (config: QueryConfig) => { - config = getMergedConfig(config); - const repoWhereClause = getRepoWhereClauseForNeo4j(config); - const timeWhereClause = await getTimeRangeWhereClauseForNeo4j(config, 'a'); - const query = `MATCH (r:Repo)<-[a:ACTION]-(u:User) WHERE ${repoWhereClause ? repoWhereClause + ' AND ' : ''} ${timeWhereClause} RETURN DISTINCT u.login AS user_login ${config.limit > 0 ? `LIMIT ${config.limit}` : ''};`; - return neo4j.query(query); -} diff --git a/src/open_digger.js b/src/open_digger.js index 9c592c6c4..b5f7a65ae 100755 --- a/src/open_digger.js +++ b/src/open_digger.js @@ -59,9 +59,6 @@ const openDigger = { contributorEmailSuffixes: func.contributorEmailSuffixes, }, }, - relation: { - getRelatedUsers: func.getRelatedUsers, - }, getRank: (values, nameGetter, valueGetter) => { let resultMap = new Map(); values.forEach(v => resultMap.set(nameGetter(v), [])); diff --git a/src/utils.ts b/src/utils.ts index 24bd258a5..363db79ac 100644 --- a/src/utils.ts +++ b/src/utils.ts @@ -1,6 +1,7 @@ import { existsSync, readFileSync } from 'fs'; import { load } from 'js-yaml'; import pWaitFor from 'p-wait-for'; +const dateformat = require('dateformat'); export function readFileAsObj(path: string) { if (!existsSync(path)) { @@ -74,3 +75,14 @@ export function rankData(data: T[], iterArr: any[], getter: (item: T, i } return result; } + +export const getLogger = (tag: string) => { + return { + info: (...args: any[]) => + console.log(`${dateformat(new Date(), 'yyyy-mm-dd HH:MM:ss', true)} INFO [${tag}]`, ...args), + warn: (...args: any[]) => + console.log(`${dateformat(new Date(), 'yyyy-mm-dd HH:MM:ss', true)} WARN [${tag}]`, ...args), + error: (...args: any[]) => + console.log(`${dateformat(new Date(), 'yyyy-mm-dd HH:MM:ss', true)} ERROR [${tag}]`, ...args), + }; +}; diff --git a/test/driver.test.ts b/test/driver.test.ts index 5d22c25e8..196816f5d 100644 --- a/test/driver.test.ts +++ b/test/driver.test.ts @@ -9,19 +9,19 @@ describe('Database driver test', () => { }); it('Should return correct table name', async () => { const result = await queryClickhouse('SHOW TABLES'); - assert.strictEqual(result.some(a => a.includes('gh_events')), true); + assert.strictEqual(result.some(a => a.includes('events')), true); }); it('Should return correct event count with original format', async () => { - const result = await queryClickhouse('SELECT COUNT() FROM gh_events'); + const result = await queryClickhouse('SELECT COUNT() FROM events'); assert.strictEqual(parseInt(result[0][0]) > 1e3, true); }); it('Should return correct event count with specified format', async () => { - const result = await queryClickhouse('SELECT COUNT() AS count FROM gh_events', { format: 'JSONEachRow' }); + const result = await queryClickhouse('SELECT COUNT() AS count FROM events', { format: 'JSONEachRow' }); assert.strictEqual(parseInt(result[0].count) > 1e3, true); }); it('Should return correct event count with stream query', async () => { const result: any[] = []; - await queryClickhouseStream('SELECT COUNT() AS count, toYear(created_at) AS year FROM gh_events WHERE year <= 2016 GROUP BY year', row => result.push(row), { format: 'JSONEachRow' }); + await queryClickhouseStream('SELECT COUNT() AS count, toYear(created_at) AS year FROM events WHERE year <= 2016 GROUP BY year', row => result.push(row), { format: 'JSONEachRow' }); assert.strictEqual(result.every(r => parseInt(r.count) > 1e3), true); }); }); diff --git a/test/label.test.ts b/test/label.test.ts index 26ff7fd64..a53363c6b 100644 --- a/test/label.test.ts +++ b/test/label.test.ts @@ -1,5 +1,5 @@ import assert from 'assert'; -import { getGitHubData, getLabelData } from '../src/label_data_utils'; +import { getPlatformData, getLabelData } from '../src/label_data_utils'; describe('Label data test', () => { it('Should return correct label data', () => { @@ -7,8 +7,8 @@ describe('Label data test', () => { assert.strictEqual(labelData.length > 0, true); }); it('Should return correct GitHub data', () => { - const companyData = getGitHubData(['Company']); - assert.strictEqual(companyData.githubOrgs.length > 0 && companyData.githubRepos.length > 0, true); + const companyData = getPlatformData(['Company']); + assert.strictEqual(companyData.length > 0, true); }); it('Should work with injected label data', () => { const labelData = getLabelData([{ @@ -23,23 +23,31 @@ describe('Label data test', () => { assert.strictEqual(labelData.filter(l => l.type === 'Injected').length, 2); }); it('Should work with injected GitHub data', () => { - const labelData = getGitHubData(['Injected'], [{ + const labelData = getPlatformData(['Injected'], [{ identifier: ':inject1', type: 'Injected', name: 'inject1', - githubOrgs: [1], - githubRepos: [1], - githubUsers: [1], + platforms: [{ + name: 'GitHub', + type: 'Code Hosting', + orgs: [1], + repos: [1], + users: [1], + }], }, { identifier: ':inject2', type: 'Injected', name: 'inject2', - githubOrgs: [2], - githubRepos: [2], - githubUsers: [2], + platforms: [{ + name: 'GitHub', + type: 'Code Hosting', + orgs: [2], + repos: [2], + users: [2], + }], }]); - assert.strictEqual(labelData.githubOrgs.length, 2); - assert.strictEqual(labelData.githubRepos.length, 2); - assert.strictEqual(labelData.githubUsers.length, 2); + assert.strictEqual(labelData.find(p => p.name === 'GitHub')?.orgs.length, 2); + assert.strictEqual(labelData.find(p => p.name === 'GitHub')?.repos.length, 2); + assert.strictEqual(labelData.find(p => p.name === 'GitHub')?.users.length, 2); }); }); diff --git a/test/metrics.test.ts b/test/metrics.test.ts index 29e2a59bc..e41a0e97b 100644 --- a/test/metrics.test.ts +++ b/test/metrics.test.ts @@ -32,7 +32,7 @@ async function validateData( console.log("query result data: ", JSON.stringify(queryResultDataWithoutDetail)); } assert(equal); - } + } else { console.log(`File ${fileName} not found, because the option is not supported.`); } @@ -52,7 +52,8 @@ function removeFields(data: any) { !key.startsWith("detail") && !key.startsWith("avg") && !key.startsWith("levels") && - !key.startsWith("openrank") + !key.startsWith("openrank") && + !key.startsWith('platform') ) { newData[key] = removeFields(data[key]); } @@ -71,7 +72,7 @@ const groupTimeRangeOptions = ["year", "quarter", "month"]; const groupByOptions = [null, "org"]; -describe("Data tests", () => { +describe("Metrics tests", () => { before(function () { this.timeout(100000); }); @@ -314,4 +315,4 @@ describe("Data tests", () => { } catch (err) { console.error(err); } -}); \ No newline at end of file +}); diff --git a/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_month.json b/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_month.json index 6da7dceb0..aec6b5b04 100644 --- a/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_month.json +++ b/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_month.json @@ -75,7 +75,7 @@ "93", "98", "90", - "105", + "106", "167", "141", "154", @@ -4102,4 +4102,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_quarter.json b/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_quarter.json index 2f3792f0a..7d6d7d706 100644 --- a/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_quarter.json +++ b/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_quarter.json @@ -75,7 +75,7 @@ "381", "467", "447", - "453", + "454", "551", "494", "509", @@ -1382,4 +1382,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_year.json b/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_year.json index 0d764e6a9..390fba22e 100644 --- a/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_year.json +++ b/test/testdata/repo_active_dates_and_times/repo_active_dates_and_times_desc_3_all_org_year.json @@ -75,7 +75,7 @@ "1964", "2303", "2478", - "2688", + "2689", "2963", "3048", "2647", @@ -362,4 +362,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_month.json b/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_month.json index 38b501f8b..df5db823e 100644 --- a/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_month.json +++ b/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_month.json @@ -75,7 +75,7 @@ "93", "98", "90", - "105", + "106", "167", "141", "154", @@ -4102,4 +4102,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_quarter.json b/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_quarter.json index 755845253..f1190437a 100644 --- a/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_quarter.json +++ b/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_quarter.json @@ -75,7 +75,7 @@ "381", "467", "447", - "453", + "454", "551", "494", "509", @@ -1382,4 +1382,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_year.json b/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_year.json index 04d20d7e7..98d3c1bcb 100644 --- a/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_year.json +++ b/test/testdata/user_active_dates_and_times/user_active_dates_and_times_desc_3_all_org_year.json @@ -75,7 +75,7 @@ "1964", "2303", "2478", - "2688", + "2689", "2963", "3048", "2647", @@ -362,4 +362,4 @@ ] } ] -} \ No newline at end of file +} diff --git a/tsconfig.json b/tsconfig.json index 15ffdde5c..2d936a6c0 100644 --- a/tsconfig.json +++ b/tsconfig.json @@ -24,6 +24,11 @@ "esModuleInterop": true, "outDir": "./lib" }, - "include": ["src"], - "exclude": ["node_modules"] + "include": [ + "src" + ], + "exclude": [ + "node_modules", + "src/local", + ] }