From bdd1fb67fc01558fdbeb85b0883c421edb5e0bc5 Mon Sep 17 00:00:00 2001 From: JohT Date: Wed, 2 Aug 2023 14:44:58 +0200 Subject: [PATCH 1/5] Remove outdated reports reference document --- results/REPORTS.md | 19 ------------------- 1 file changed, 19 deletions(-) delete mode 100644 results/REPORTS.md diff --git a/results/REPORTS.md b/results/REPORTS.md deleted file mode 100644 index 7869e7c5f..000000000 --- a/results/REPORTS.md +++ /dev/null @@ -1,19 +0,0 @@ -# Markdown Reports Reference - -This document serves as a reference for all Markdown in the current directory and its subdirectories. -It provides a table listing each file and its corresponding description found in the first header line. - -Report | Analysis | Description --------|----------|------------ -| [ExternalDependencies.md](./AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md) | AxonFramework-4.7.5 | External Dependencies of Java Artifacts with Neo4j | -| [InternalDependencies.md](./AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md) | AxonFramework-4.7.5 | Package Dependencies for Java with Neo4j | -| [ObjectOrientedDesignMetrics.md](./AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md) | AxonFramework-4.7.5 | Object Oriented Design Quality Metrics for Java with Neo4j | -| [Overview.md](./AxonFramework-4.7.5/overview/Overview.md) | AxonFramework-4.7.5 | Overview of Java Artifacts with Neo4j | -| [VisibilityMetrics.md](./AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md) | AxonFramework-4.7.5 | Visibility Metrics for Java with Neo4j | -| [Wordcloud.md](./AxonFramework-4.7.5/wordcloud/Wordcloud.md) | AxonFramework-4.7.5 | Overview of Java Artifacts with Neo4j | -| [ExternalDependencies.md](./AxonFramework-4.8.0/external-dependencies/ExternalDependencies.md) | AxonFramework-4.8.0 | External Dependencies | -| [InternalDependencies.md](./AxonFramework-4.8.0/internal-dependencies/InternalDependencies.md) | AxonFramework-4.8.0 | Internal Dependencies | -| [ObjectOrientedDesignMetrics.md](./AxonFramework-4.8.0/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md) | AxonFramework-4.8.0 | Object Oriented Design Quality Metrics | -| [Overview.md](./AxonFramework-4.8.0/overview/Overview.md) | AxonFramework-4.8.0 | Overview | -| [VisibilityMetrics.md](./AxonFramework-4.8.0/visibility-metrics/VisibilityMetrics.md) | AxonFramework-4.8.0 | Visibility Metrics | -| [Wordcloud.md](./AxonFramework-4.8.0/wordcloud/Wordcloud.md) | AxonFramework-4.8.0 | Wordcloud | From cabb444d2d31eb97279352f12a3ad97747cdfa31 Mon Sep 17 00:00:00 2001 From: JohT Date: Wed, 2 Aug 2023 14:59:47 +0200 Subject: [PATCH 2/5] Update old AxonFramework v4.7.5 reports --- .../Centrality_Article_Rank.csv | 112 +- .../centrality-csv/Centrality_Betweeness.csv | 32 +- .../centrality-csv/Centrality_Closeness.csv | 12 +- ...Centrality_Cost_Effective_Lazy_Forward.csv | 12 +- .../centrality-csv/Centrality_Harmonic.csv | 20 +- .../centrality-csv/Centrality_Page_Rank.csv | 178 +-- .../community-csv/Leiden_Communities.csv | 25 +- ...mmunities_That_Span_Multiple_Artifacts.csv | 16 +- .../community-csv/Louvain_Communities.csv | 26 +- .../External_package_usage_overall.csv | 74 +- .../External_package_usage_per_artifact.csv | 74 +- ...package_usage_per_artifact_and_package.csv | 130 +- .../External_package_usage_per_type.csv | 610 +++++----- ...al_package_usage_per_type_distribution.csv | 28 +- .../Maven_POM_dependencies.csv | 134 +-- .../ExternalDependencies.ipynb | 1056 ++++++++--------- .../ExternalDependencies.md | 485 +++----- .../ExternalDependencies.pdf | Bin 222739 -> 431552 bytes .../ExternalDependencies_13_0.png | Bin 77397 -> 77397 bytes .../ExternalDependencies_27_1.png | Bin 37254 -> 36679 bytes .../ExternalDependencies_29_1.png | Bin 38906 -> 36725 bytes .../ArtifactPackageUsage.csv | 32 +- .../ClassesPerPackageUsageAcrossArtifacts.csv | 258 ++-- .../CyclicArtifactDependenciesUnwinded.csv | 1 + .../CyclicDependencies.csv | 46 +- .../CyclicDependenciesUnwinded.csv | 380 +++--- .../InterfaceSegregationCandidates.csv | 334 ++---- .../WidelyUsedTypes.csv | 462 ++++---- .../InternalDependencies.ipynb | 688 +++++------ .../InternalDependencies.md | 304 ++--- .../InternalDependencies.pdf | Bin 77521 -> 268359 bytes .../Abstractness.csv | 18 +- .../IncomingPackageDependencies.csv | 2 +- .../Instability.csv | 2 +- ...equenceAbstractnessInstabilityDistance.csv | 2 +- .../OutgoingPackageDependencies.csv | 2 +- .../ObjectOrientedDesignMetrics.ipynb | 216 ++-- .../ObjectOrientedDesignMetrics.md | 66 +- .../ObjectOrientedDesignMetrics.pdf | Bin 124530 -> 323282 bytes .../ObjectOrientedDesignMetrics_21_0.png | Bin 43723 -> 43723 bytes .../Cyclomatic_Method_Complexity.csv | 2 +- .../Effective_Method_Line_Count.csv | 2 +- ...ctive_lines_of_method_code_per_package.csv | 48 +- ...ffective_lines_of_method_code_per_type.csv | 942 +++++++-------- .../Number_of_packages_per_artifact.csv | 8 +- .../Number_of_types_per_artifact.csv | 26 +- .../overview/Overview.ipynb | 330 +++--- .../AxonFramework-4.7.5/overview/Overview.md | 90 +- .../AxonFramework-4.7.5/overview/Overview.pdf | Bin 271607 -> 426104 bytes .../overview/Overview_files/Overview_13_1.png | Bin 34886 -> 34886 bytes .../overview/Overview_files/Overview_17_1.png | Bin 34520 -> 34520 bytes .../overview/Overview_files/Overview_20_1.png | Bin 34641 -> 34597 bytes .../overview/Overview_files/Overview_26_1.png | Bin 69754 -> 69754 bytes .../overview/Overview_files/Overview_31_1.png | Bin 76449 -> 76449 bytes .../similarity-csv/Similarity_Jaccard.csv | 239 ++-- .../RelativeVisibilityPerArtifact.csv | 2 +- .../RelativeVisibilityPerPackage.csv | 2 +- .../VisibilityMetrics.ipynb | 108 +- .../visibility-metrics/VisibilityMetrics.md | 26 +- .../visibility-metrics/VisibilityMetrics.pdf | Bin 56183 -> 191033 bytes .../wordcloud/Wordcloud.ipynb | 156 +-- .../wordcloud/Wordcloud.md | 38 +- .../wordcloud/Wordcloud.pdf | Bin 628475 -> 677939 bytes .../Wordcloud_files/Wordcloud_10_1.png | Bin 520641 -> 519352 bytes results/CSV_REPORTS.md | 143 +-- results/JUPYTER_REPORTS.md | 13 +- 66 files changed, 3816 insertions(+), 4196 deletions(-) create mode 100644 results/AxonFramework-4.7.5/internal-dependencies-csv/CyclicArtifactDependenciesUnwinded.csv diff --git a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Article_Rank.csv b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Article_Rank.csv index 3babdc132..5f7b0580d 100644 --- a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Article_Rank.csv +++ b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Article_Rank.csv @@ -1,71 +1,71 @@ -"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality_4c_Article_Rank_Stream.cypher" -"org.axonframework.common","common",0.674049343141728,876,23,"" +"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality/Centrality_4c_Article_Rank_Stream.cypher" +"org.axonframework.common","common",0.6740493431417279,876,23,"" "org.axonframework.messaging","messaging",0.5061066966507393,8507,133,"" -"org.axonframework.eventhandling","eventhandling",0.30119327024442966,4409,1557,"" +"org.axonframework.eventhandling","eventhandling",0.3011932702444297,4409,1557,"" "org.axonframework.serialization","serialization",0.28139885245940793,1078,176,"" -"org.axonframework.messaging.unitofwork","unitofwork",0.16152299604347944,251,123,"" +"org.axonframework.messaging.unitofwork","unitofwork",0.16152299604347942,251,123,"" "org.axonframework.messaging.annotation","annotation",0.12833423245569633,1050,301,"" -"org.axonframework.commandhandling","commandhandling",0.08565550213651023,1539,642,"" +"org.axonframework.commandhandling","commandhandling",0.08565550213651026,1539,642,"" "org.axonframework.modelling.saga","saga",0.0797873294190752,242,386,"" -"org.axonframework.eventhandling.tokenstore","tokenstore",0.05801777775843902,69,42,"" -"org.axonframework.queryhandling","queryhandling",0.05362763054137021,175,1108,"" -"org.axonframework.tracing","tracing",0.0510489250777894,173,122,"" -"org.axonframework.common.transaction","transaction",0.04946913527402923,276,6,"" -"org.axonframework.modelling.command","command",0.04710350070312985,254,827,"" -"org.axonframework.eventsourcing.eventstore","eventstore",0.041751430475717985,169,603,"" +"org.axonframework.eventhandling.tokenstore","tokenstore",0.05801777775843903,69,42,"" +"org.axonframework.queryhandling","queryhandling",0.053627630541370215,175,1108,"" +"org.axonframework.tracing","tracing",0.05104892507778941,173,122,"" +"org.axonframework.common.transaction","transaction",0.049469135274029234,276,6,"" +"org.axonframework.modelling.command","command",0.047103500703129866,254,827,"" +"org.axonframework.eventsourcing.eventstore","eventstore",0.04175143047571799,169,603,"" "org.axonframework.common.annotation","annotation",0.03956975931712903,22,3,"" -"org.axonframework.test","test",0.03799712205049376,16,13,"" -"org.axonframework.deadline","deadline",0.037840519805841306,165,347,"" +"org.axonframework.test","test",0.03799712205049377,16,13,"" +"org.axonframework.deadline","deadline",0.03784051980584131,165,347,"" "org.axonframework.eventsourcing.eventstore.jdbc","jdbc",0.037752353074359826,218,1340,"" -"org.axonframework.monitoring","monitoring",0.03774108222576801,189,21,"" +"org.axonframework.monitoring","monitoring",0.03774108222576802,189,21,"" "org.axonframework.common.jdbc","jdbc",0.036990849285592674,49,41,"" -"org.axonframework.common.io","io",0.035916555722431104,10,0,"" -"org.axonframework.messaging.deadletter","deadletter",0.03589772159909723,135,104,"" +"org.axonframework.common.io","io",0.03591655572243111,10,0,"" +"org.axonframework.messaging.deadletter","deadletter",0.03589772159909724,135,104,"" "org.axonframework.util","util",0.033477379133321356,3,6,"" -"org.axonframework.modelling.command.inspection","inspection",0.03323324725999622,84,781,"" -"org.axonframework.commandhandling.distributed","distributed",0.03233686298788861,50,603,"" -"org.axonframework.common.stream","stream",0.03094751064024176,29,5,"" -"org.axonframework.test.matchers","matchers",0.029236143276219748,61,51,"" -"org.axonframework.serialization.upcasting.event","event",0.02922234907795785,38,188,"" -"org.axonframework.eventhandling.tokenstore.jpa","jpa",0.02834064693720791,9,119,"" -"org.axonframework.messaging.responsetypes","responsetypes",0.027913461639524476,78,65,"" -"org.axonframework.modelling.saga.metamodel","metamodel",0.02774863875564284,15,53,"" -"org.axonframework.eventhandling.deadletter.jpa","jpa",0.027469727081889335,25,317,"" -"org.axonframework.modelling.saga.repository.jpa","jpa",0.027319956833439574,12,86,"" -"org.axonframework.eventsourcing","eventsourcing",0.027150045378734736,134,976,"" -"org.axonframework.messaging.correlation","correlation",0.026109859242235852,25,14,"" +"org.axonframework.modelling.command.inspection","inspection",0.033233247259996226,84,781,"" +"org.axonframework.commandhandling.distributed","distributed",0.03233686298788862,50,603,"" +"org.axonframework.common.stream","stream",0.030947510640241767,29,5,"" +"org.axonframework.test.matchers","matchers",0.02923614327621975,61,51,"" +"org.axonframework.serialization.upcasting.event","event",0.029222349077957854,38,188,"" +"org.axonframework.eventhandling.tokenstore.jpa","jpa",0.028340646937207913,9,119,"" +"org.axonframework.messaging.responsetypes","responsetypes",0.02791346163952448,78,65,"" +"org.axonframework.modelling.saga.metamodel","metamodel",0.027748638755642843,15,53,"" +"org.axonframework.eventhandling.deadletter.jpa","jpa",0.02746972708188934,25,317,"" +"org.axonframework.modelling.saga.repository.jpa","jpa",0.027319956833439577,12,86,"" +"org.axonframework.eventsourcing","eventsourcing",0.02715004537873474,134,976,"" +"org.axonframework.messaging.correlation","correlation",0.026109859242235856,25,14,"" "org.axonframework.lifecycle","lifecycle",0.02581622996306821,62,10,"" -"org.axonframework.commandhandling.callbacks","callbacks",0.02549520920114202,8,39,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements","statements",0.025279148661650857,30,80,"" -"org.axonframework.eventhandling.scheduling","scheduling",0.02514819437837911,16,2,"" -"org.axonframework.common.lock","lock",0.02499718354593546,46,25,"" +"org.axonframework.commandhandling.callbacks","callbacks",0.025495209201142024,8,39,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements","statements",0.02527914866165086,30,80,"" +"org.axonframework.eventhandling.scheduling","scheduling",0.025148194378379115,16,2,"" +"org.axonframework.common.lock","lock",0.024997183545935463,46,25,"" "org.axonframework.common.jpa","jpa",0.024616880678309475,16,6,"" "org.axonframework.messaging.interceptors","interceptors",0.024411757347519686,10,119,"" -"org.axonframework.serialization.upcasting","upcasting",0.024267353581380685,11,5,"" -"org.axonframework.common.property","property",0.023140833773096395,23,15,"" -"org.axonframework.test.deadline","deadline",0.02311990889033833,10,138,"" +"org.axonframework.serialization.upcasting","upcasting",0.02426735358138069,11,5,"" +"org.axonframework.common.property","property",0.0231408337730964,23,15,"" +"org.axonframework.test.deadline","deadline",0.023119908890338332,10,138,"" "org.axonframework.common.legacyjpa","legacyjpa",0.023111488217672446,14,6,"" -"org.axonframework.modelling.saga.repository","repository",0.023051472422122327,72,199,"" -"org.axonframework.eventhandling.async","async",0.023015153772727722,41,76,"" -"org.axonframework.commandhandling.distributed.commandfilter","commandfilter",0.022599790249989274,12,34,"" -"org.axonframework.serialization.xml","xml",0.022568456827930912,17,28,"" -"org.axonframework.eventhandling.replay","replay",0.022110760634349774,12,72,"" -"org.axonframework.commandhandling.gateway","gateway",0.021877189571849327,101,447,"" +"org.axonframework.modelling.saga.repository","repository",0.02305147242212233,72,199,"" +"org.axonframework.eventhandling.async","async",0.023015153772727726,41,76,"" +"org.axonframework.commandhandling.distributed.commandfilter","commandfilter",0.022599790249989277,12,34,"" +"org.axonframework.serialization.xml","xml",0.022568456827930915,17,28,"" +"org.axonframework.eventhandling.replay","replay",0.022110760634349778,12,72,"" +"org.axonframework.commandhandling.gateway","gateway",0.02187718957184933,101,447,"" "org.axonframework.common.caching","caching",0.02180504450329124,30,40,"" -"org.axonframework.test.eventscheduler","eventscheduler",0.02170943795239953,9,38,"" -"org.axonframework.eventsourcing.snapshotting","snapshotting",0.021634473191513785,23,17,"" -"org.axonframework.test.utils","utils",0.021460218001057935,8,70,"" -"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.021451317249299925,9,236,"" -"org.axonframework.eventhandling.deadletter","deadletter",0.021336442677534307,9,275,"" -"org.axonframework.modelling.saga.repository.inmemory","inmemory",0.021301261640793368,5,15,"" +"org.axonframework.test.eventscheduler","eventscheduler",0.021709437952399532,9,38,"" +"org.axonframework.eventsourcing.snapshotting","snapshotting",0.02163447319151379,23,17,"" +"org.axonframework.test.utils","utils",0.021460218001057938,8,70,"" +"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.02145131724929993,9,236,"" +"org.axonframework.eventhandling.deadletter","deadletter",0.02133644267753431,9,275,"" +"org.axonframework.modelling.saga.repository.inmemory","inmemory",0.02130126164079337,5,15,"" "org.axonframework.eventhandling.pooled","pooled",0.02128052547105104,52,1022,"" "org.axonframework.eventsourcing.conflictresolution","conflictresolution",0.021231000893961023,15,99,"" -"org.axonframework.queryhandling.registration","registration",0.020916879995553177,9,13,"" +"org.axonframework.queryhandling.registration","registration",0.02091687999555318,9,13,"" "org.axonframework.disruptor.commandhandling","commandhandling",0.02072135340621838,55,1487,"" -"org.axonframework.common.digest","digest",0.020698488772398802,1,1,"" -"org.axonframework.eventhandling.gateway","gateway",0.020693394802976748,11,52,"" -"org.axonframework.queryhandling.annotation","annotation",0.020609518993251846,4,199,"" -"org.axonframework.eventhandling.tokenstore.inmemory","inmemory",0.020553601786768582,2,25,"" +"org.axonframework.common.digest","digest",0.020698488772398806,1,1,"" +"org.axonframework.eventhandling.gateway","gateway",0.02069339480297675,11,52,"" +"org.axonframework.queryhandling.annotation","annotation",0.02060951899325185,4,199,"" +"org.axonframework.eventhandling.tokenstore.inmemory","inmemory",0.020553601786768586,2,25,"" "org.axonframework.test.aggregate","aggregate",0.02052564318352695,31,2223,"" "org.axonframework.deadline.annotation","annotation",0.02052564318352695,6,29,"" "org.axonframework.tracing.attributes","attributes",0.02052564318352695,0,43,"" @@ -74,16 +74,16 @@ "org.axonframework.eventsourcing.eventstore.inmemory","inmemory",0.02052564318352695,1,75,"" "org.axonframework.eventhandling.interceptors","interceptors",0.02052564318352695,0,28,"" "org.axonframework.eventhandling.scheduling.java","java",0.02052564318352695,5,76,"" -"org.axonframework.modelling.saga.repository.jdbc","jdbc",0.02052564318352695,13,133,"" "org.axonframework.eventhandling.tokenstore.jdbc","jdbc",0.02052564318352695,16,195,"" +"org.axonframework.modelling.saga.repository.jdbc","jdbc",0.02052564318352695,13,133,"" "org.axonframework.deadline.jobrunr","jobrunr",0.02052564318352695,3,348,"" "org.axonframework.eventhandling.scheduling.jobrunr","jobrunr",0.02052564318352695,3,198,"" "org.axonframework.serialization.json","json",0.02052564318352695,7,87,"" -"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0.02052564318352695,23,375,"" -"org.axonframework.modelling.command.legacyjpa","legacyjpa",0.02052564318352695,2,143,"" -"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0.02052564318352695,3,81,"" "org.axonframework.eventhandling.deadletter.legacyjpa","legacyjpa",0.02052564318352695,9,330,"" "org.axonframework.eventhandling.tokenstore.legacyjpa","legacyjpa",0.02052564318352695,2,106,"" +"org.axonframework.modelling.command.legacyjpa","legacyjpa",0.02052564318352695,2,143,"" +"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0.02052564318352695,3,81,"" +"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0.02052564318352695,23,375,"" "org.axonframework.messaging.interceptors.legacyvalidation","legacyvalidation",0.02052564318352695,1,27,"" "org.axonframework.deadline.quartz","quartz",0.02052564318352695,5,481,"" "org.axonframework.eventhandling.scheduling.quartz","quartz",0.02052564318352695,10,202,"" diff --git a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Betweeness.csv b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Betweeness.csv index e02d44ea1..48e59f75e 100644 --- a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Betweeness.csv +++ b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Betweeness.csv @@ -1,27 +1,27 @@ -"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality_5c_Betweeness_Stream.cypher" -"org.axonframework.eventhandling","eventhandling",833,4409,1557,"" -"org.axonframework.messaging","messaging",427.83333333333337,8507,133,"" -"org.axonframework.tracing","tracing",427.49999999999994,173,122,"" -"org.axonframework.serialization","serialization",325.49999999999994,1078,176,"" +"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality/Centrality_5c_Betweeness_Stream.cypher" +"org.axonframework.eventhandling","eventhandling",832.9999999999999,4409,1557,"" +"org.axonframework.tracing","tracing",427.99999999999994,173,122,"" +"org.axonframework.messaging","messaging",427.8333333333333,8507,133,"" +"org.axonframework.serialization","serialization",325.5,1078,176,"" "org.axonframework.messaging.annotation","annotation",320.99999999999994,1050,301,"" -"org.axonframework.queryhandling","queryhandling",273.1666666666667,175,1108,"" -"org.axonframework.commandhandling","commandhandling",188.33333333333337,1539,642,"" -"org.axonframework.eventsourcing.eventstore","eventstore",145.91666666666666,169,603,"" +"org.axonframework.queryhandling","queryhandling",273.16666666666663,175,1108,"" +"org.axonframework.commandhandling","commandhandling",188.33333333333331,1539,642,"" +"org.axonframework.eventsourcing.eventstore","eventstore",146.41666666666669,169,603,"" "org.axonframework.lifecycle","lifecycle",123.5,62,10,"" "org.axonframework.modelling.saga.repository","repository",113.08333333333333,72,199,"" "org.axonframework.util","util",112.91666666666667,3,6,"" -"org.axonframework.messaging.unitofwork","unitofwork",82.66666666666666,251,123,"" +"org.axonframework.messaging.unitofwork","unitofwork",82.66666666666667,251,123,"" "org.axonframework.serialization.upcasting.event","event",75,38,188,"" "org.axonframework.eventhandling.async","async",68.5,41,76,"" "org.axonframework.messaging.interceptors","interceptors",68,10,119,"" "org.axonframework.messaging.correlation","correlation",67.5,25,14,"" -"org.axonframework.eventhandling.replay","replay",63.166666666666664,12,72,"" +"org.axonframework.eventhandling.replay","replay",63.16666666666666,12,72,"" "org.axonframework.queryhandling.registration","registration",63,9,13,"" "org.axonframework.deadline","deadline",59.916666666666664,165,347,"" "org.axonframework.messaging.responsetypes","responsetypes",45,78,65,"" "org.axonframework.eventsourcing.snapshotting","snapshotting",45,23,17,"" -"org.axonframework.modelling.command","command",36.08333333333333,254,827,"" -"org.axonframework.monitoring","monitoring",35.833333333333336,189,21,"" +"org.axonframework.monitoring","monitoring",35.83333333333333,189,21,"" +"org.axonframework.modelling.command","command",35.58333333333333,254,827,"" "org.axonframework.eventsourcing","eventsourcing",29,134,976,"" "org.axonframework.test.matchers","matchers",22.5,61,51,"" "org.axonframework.modelling.saga","saga",22.5,242,386,"" @@ -69,16 +69,16 @@ "org.axonframework.eventhandling.interceptors","interceptors",0,0,28,"" "org.axonframework.common.io","io",0,10,0,"" "org.axonframework.eventhandling.scheduling.java","java",0,5,76,"" -"org.axonframework.modelling.saga.repository.jdbc","jdbc",0,13,133,"" "org.axonframework.eventhandling.tokenstore.jdbc","jdbc",0,16,195,"" +"org.axonframework.modelling.saga.repository.jdbc","jdbc",0,13,133,"" "org.axonframework.deadline.jobrunr","jobrunr",0,3,348,"" "org.axonframework.eventhandling.scheduling.jobrunr","jobrunr",0,3,198,"" "org.axonframework.serialization.json","json",0,7,87,"" -"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0,23,375,"" -"org.axonframework.modelling.command.legacyjpa","legacyjpa",0,2,143,"" -"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0,3,81,"" "org.axonframework.eventhandling.deadletter.legacyjpa","legacyjpa",0,9,330,"" "org.axonframework.eventhandling.tokenstore.legacyjpa","legacyjpa",0,2,106,"" +"org.axonframework.modelling.command.legacyjpa","legacyjpa",0,2,143,"" +"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0,3,81,"" +"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0,23,375,"" "org.axonframework.messaging.interceptors.legacyvalidation","legacyvalidation",0,1,27,"" "org.axonframework.eventhandling.pooled","pooled",0,52,1022,"" "org.axonframework.deadline.quartz","quartz",0,5,481,"" diff --git a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Closeness.csv b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Closeness.csv index 9dec6a1f4..e56266cc6 100644 --- a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Closeness.csv +++ b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Closeness.csv @@ -1,4 +1,4 @@ -"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality_8b_Closeness_Stream.cypher" +"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality/Centrality_8b_Closeness_Stream.cypher" "org.axonframework.common","common",0.8440191387559809,876,23,"" "org.axonframework.messaging","messaging",0.6328757875787578,8507,133,"" "org.axonframework.eventhandling","eventhandling",0.5864261884904087,4409,1557,"" @@ -50,8 +50,8 @@ "org.axonframework.test.deadline","deadline",0.022727272727272728,10,138,"" "org.axonframework.commandhandling.gateway","gateway",0.022727272727272728,101,447,"" "org.axonframework.modelling.saga.repository.inmemory","inmemory",0.022727272727272728,5,15,"" -"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.022727272727272728,9,236,"" "org.axonframework.eventhandling.tokenstore.jpa","jpa",0.022727272727272728,9,119,"" +"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.022727272727272728,9,236,"" "org.axonframework.common.digest","digest",0.015151515151515152,1,1,"" "org.axonframework.queryhandling.annotation","annotation",0.011363636363636364,4,199,"" "org.axonframework.commandhandling.distributed.commandfilter","commandfilter",0.011363636363636364,12,34,"" @@ -74,16 +74,16 @@ "org.axonframework.eventsourcing.eventstore.inmemory","inmemory",0,1,75,"" "org.axonframework.eventhandling.interceptors","interceptors",0,0,28,"" "org.axonframework.eventhandling.scheduling.java","java",0,5,76,"" -"org.axonframework.modelling.saga.repository.jdbc","jdbc",0,13,133,"" "org.axonframework.eventhandling.tokenstore.jdbc","jdbc",0,16,195,"" +"org.axonframework.modelling.saga.repository.jdbc","jdbc",0,13,133,"" "org.axonframework.deadline.jobrunr","jobrunr",0,3,348,"" "org.axonframework.eventhandling.scheduling.jobrunr","jobrunr",0,3,198,"" "org.axonframework.serialization.json","json",0,7,87,"" -"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0,23,375,"" -"org.axonframework.modelling.command.legacyjpa","legacyjpa",0,2,143,"" -"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0,3,81,"" "org.axonframework.eventhandling.deadletter.legacyjpa","legacyjpa",0,9,330,"" "org.axonframework.eventhandling.tokenstore.legacyjpa","legacyjpa",0,2,106,"" +"org.axonframework.modelling.command.legacyjpa","legacyjpa",0,2,143,"" +"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0,3,81,"" +"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0,23,375,"" "org.axonframework.messaging.interceptors.legacyvalidation","legacyvalidation",0,1,27,"" "org.axonframework.deadline.quartz","quartz",0,5,481,"" "org.axonframework.eventhandling.scheduling.quartz","quartz",0,10,202,"" diff --git a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv index 66d9bc94d..cb7f379c5 100644 --- a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv +++ b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv @@ -1,6 +1,6 @@ -"fullQualifiedPackageName","packageName","spread","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher" -"org.axonframework.config","config",9.62,115,7942,"" -"org.axonframework.test.saga","saga",2.8500000000000014,43,1375,"" -"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",2.0599999999999987,23,375,"" -"org.axonframework.test.aggregate","aggregate",1.8600000000000012,31,2223,"" -"org.axonframework.commandhandling.distributed","distributed",1.7300000000000004,50,603,"" +"fullQualifiedPackageName","packageName","spread","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher" +"org.axonframework.config","config",9.06,115,7942,"" +"org.axonframework.test.saga","saga",2.9499999999999993,43,1375,"" +"org.axonframework.test.aggregate","aggregate",2.26,31,2223,"" +"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",1.990000000000002,23,375,"" +"org.axonframework.eventsourcing.eventstore.jdbc","jdbc",1.8999999999999986,218,1340,"" diff --git a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Harmonic.csv b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Harmonic.csv index 90ffd6039..0d8775b8c 100644 --- a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Harmonic.csv +++ b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Harmonic.csv @@ -1,17 +1,17 @@ -"fullQualifiedPackageName","packageName","centrality","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality_7a_Harmonic_Closeness_Stream.cypher" +"fullQualifiedPackageName","packageName","centrality","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher" "org.axonframework.common","common",0.8920454545454546,876,23,"" "org.axonframework.messaging","messaging",0.7045454545454546,8507,133,"" "org.axonframework.eventhandling","eventhandling",0.6666666666666666,4409,1557,"" "org.axonframework.messaging.unitofwork","unitofwork",0.6098484848484849,251,123,"" -"org.axonframework.serialization","serialization",0.5833333333333334,1078,176,"" +"org.axonframework.serialization","serialization",0.5833333333333333,1078,176,"" "org.axonframework.common.transaction","transaction",0.5568181818181818,276,6,"" "org.axonframework.messaging.annotation","annotation",0.5473484848484849,1050,301,"" "org.axonframework.tracing","tracing",0.48863636363636365,173,122,"" "org.axonframework.commandhandling","commandhandling",0.4744318181818182,1539,642,"" -"org.axonframework.common.stream","stream",0.4469696969696969,29,5,"" +"org.axonframework.common.stream","stream",0.446969696969697,29,5,"" "org.axonframework.monitoring","monitoring",0.4393939393939394,189,21,"" -"org.axonframework.common.io","io",0.43655303030303033,10,0,"" -"org.axonframework.lifecycle","lifecycle",0.43655303030303033,62,10,"" +"org.axonframework.common.io","io",0.4365530303030303,10,0,"" +"org.axonframework.lifecycle","lifecycle",0.4365530303030303,62,10,"" "org.axonframework.deadline","deadline",0.425189393939394,165,347,"" "org.axonframework.queryhandling","queryhandling",0.4081439393939394,175,1108,"" "org.axonframework.serialization.upcasting.event","event",0.4053030303030303,38,188,"" @@ -50,8 +50,8 @@ "org.axonframework.test.deadline","deadline",0.022727272727272728,10,138,"" "org.axonframework.commandhandling.gateway","gateway",0.022727272727272728,101,447,"" "org.axonframework.modelling.saga.repository.inmemory","inmemory",0.022727272727272728,5,15,"" -"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.022727272727272728,9,236,"" "org.axonframework.eventhandling.tokenstore.jpa","jpa",0.022727272727272728,9,119,"" +"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.022727272727272728,9,236,"" "org.axonframework.common.digest","digest",0.017045454545454544,1,1,"" "org.axonframework.queryhandling.annotation","annotation",0.011363636363636364,4,199,"" "org.axonframework.commandhandling.distributed.commandfilter","commandfilter",0.011363636363636364,12,34,"" @@ -74,16 +74,16 @@ "org.axonframework.eventsourcing.eventstore.inmemory","inmemory",0,1,75,"" "org.axonframework.eventhandling.interceptors","interceptors",0,0,28,"" "org.axonframework.eventhandling.scheduling.java","java",0,5,76,"" -"org.axonframework.modelling.saga.repository.jdbc","jdbc",0,13,133,"" "org.axonframework.eventhandling.tokenstore.jdbc","jdbc",0,16,195,"" +"org.axonframework.modelling.saga.repository.jdbc","jdbc",0,13,133,"" "org.axonframework.deadline.jobrunr","jobrunr",0,3,348,"" "org.axonframework.eventhandling.scheduling.jobrunr","jobrunr",0,3,198,"" "org.axonframework.serialization.json","json",0,7,87,"" -"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0,23,375,"" -"org.axonframework.modelling.command.legacyjpa","legacyjpa",0,2,143,"" -"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0,3,81,"" "org.axonframework.eventhandling.deadletter.legacyjpa","legacyjpa",0,9,330,"" "org.axonframework.eventhandling.tokenstore.legacyjpa","legacyjpa",0,2,106,"" +"org.axonframework.modelling.command.legacyjpa","legacyjpa",0,2,143,"" +"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0,3,81,"" +"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0,23,375,"" "org.axonframework.messaging.interceptors.legacyvalidation","legacyvalidation",0,1,27,"" "org.axonframework.deadline.quartz","quartz",0,5,481,"" "org.axonframework.eventhandling.scheduling.quartz","quartz",0,10,202,"" diff --git a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Page_Rank.csv b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Page_Rank.csv index 099bf391f..b6596a905 100644 --- a/results/AxonFramework-4.7.5/centrality-csv/Centrality_Page_Rank.csv +++ b/results/AxonFramework-4.7.5/centrality-csv/Centrality_Page_Rank.csv @@ -1,90 +1,90 @@ -"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality_3c_Page_Rank_Stream.cypher" -"org.axonframework.common","common",0.7292037796629202,876,23,"" -"org.axonframework.messaging","messaging",0.49252274111448685,8507,133,"" -"org.axonframework.serialization","serialization",0.2757886003221682,1078,176,"" -"org.axonframework.eventhandling","eventhandling",0.2640644275940672,4409,1557,"" -"org.axonframework.messaging.unitofwork","unitofwork",0.14474173010094038,251,123,"" -"org.axonframework.messaging.annotation","annotation",0.11352489548658454,1050,301,"" -"org.axonframework.commandhandling","commandhandling",0.07319555112595547,1539,642,"" +"fullQualifiedPackageName","packageName","score","incomingDependencies","outgoingDependencies","Source Cypher File: Centrality/Centrality_3c_Page_Rank_Stream.cypher" +"org.axonframework.common","common",0.7292037796629203,876,23,"" +"org.axonframework.messaging","messaging",0.49252274111448696,8507,133,"" +"org.axonframework.serialization","serialization",0.2757886003221683,1078,176,"" +"org.axonframework.eventhandling","eventhandling",0.26406442759406723,4409,1557,"" +"org.axonframework.messaging.unitofwork","unitofwork",0.14474173010094044,251,123,"" +"org.axonframework.messaging.annotation","annotation",0.11352489548658455,1050,301,"" +"org.axonframework.commandhandling","commandhandling",0.07319555112595551,1539,642,"" "org.axonframework.modelling.saga","saga",0.06394837597967193,242,386,"" -"org.axonframework.common.transaction","transaction",0.04999735928114654,276,6,"" -"org.axonframework.queryhandling","queryhandling",0.046759216773881514,175,1108,"" -"org.axonframework.eventhandling.tokenstore","tokenstore",0.04471392815097795,69,42,"" -"org.axonframework.tracing","tracing",0.04092794418195231,173,122,"" -"org.axonframework.modelling.command","command",0.0346092361852946,254,827,"" -"org.axonframework.common.annotation","annotation",0.03308111795826317,22,3,"" -"org.axonframework.common.io","io",0.03188229217313222,10,0,"" -"org.axonframework.eventsourcing.eventstore","eventstore",0.030320343055429445,169,603,"" -"org.axonframework.test","test",0.029993785787151814,16,13,"" -"org.axonframework.monitoring","monitoring",0.02964159330054129,189,21,"" -"org.axonframework.deadline","deadline",0.029110341705480887,165,347,"" -"org.axonframework.util","util",0.028096608858562477,3,6,"" -"org.axonframework.eventsourcing.eventstore.jdbc","jdbc",0.027498763262521493,218,1340,"" -"org.axonframework.common.jdbc","jdbc",0.026625990754736824,49,41,"" -"org.axonframework.messaging.deadletter","deadletter",0.025952351210925838,135,104,"" -"org.axonframework.commandhandling.distributed","distributed",0.025464812739343128,50,603,"" -"org.axonframework.modelling.command.inspection","inspection",0.02404258455842772,84,781,"" -"org.axonframework.common.stream","stream",0.023760579403302333,29,5,"" -"org.axonframework.serialization.upcasting.event","event",0.02187394109227898,38,188,"" -"org.axonframework.messaging.responsetypes","responsetypes",0.02106003582584162,78,65,"" -"org.axonframework.test.matchers","matchers",0.02099512097884159,61,51,"" -"org.axonframework.modelling.saga.metamodel","metamodel",0.020415522607661715,15,53,"" -"org.axonframework.eventhandling.tokenstore.jpa","jpa",0.02025482666887769,9,119,"" -"org.axonframework.messaging.correlation","correlation",0.01999195125206277,25,14,"" -"org.axonframework.modelling.saga.repository.jpa","jpa",0.019629892708534692,12,86,"" -"org.axonframework.eventhandling.deadletter.jpa","jpa",0.01951344364950386,25,317,"" -"org.axonframework.eventsourcing","eventsourcing",0.01926118654716276,134,976,"" -"org.axonframework.lifecycle","lifecycle",0.018931495800377725,62,10,"" -"org.axonframework.commandhandling.callbacks","callbacks",0.018400452896759453,8,39,"" -"org.axonframework.eventhandling.scheduling","scheduling",0.018358510849529906,16,2,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements","statements",0.01803222547273102,30,80,"" -"org.axonframework.messaging.interceptors","interceptors",0.018030868050138538,10,119,"" -"org.axonframework.common.lock","lock",0.017842209827590706,46,25,"" -"org.axonframework.common.jpa","jpa",0.01758601641950885,16,6,"" -"org.axonframework.serialization.upcasting","upcasting",0.017523038291642572,11,5,"" -"org.axonframework.eventhandling.async","async",0.016674269639814422,41,76,"" -"org.axonframework.common.property","property",0.016643132166223252,23,15,"" -"org.axonframework.modelling.saga.repository","repository",0.01658684139433112,72,199,"" -"org.axonframework.common.legacyjpa","legacyjpa",0.016412926653098153,14,6,"" -"org.axonframework.test.deadline","deadline",0.016335039462814806,10,138,"" -"org.axonframework.commandhandling.distributed.commandfilter","commandfilter",0.016168135198198597,12,34,"" -"org.axonframework.serialization.xml","xml",0.016035020589579903,17,28,"" -"org.axonframework.eventhandling.replay","replay",0.015886599391332527,12,72,"" -"org.axonframework.commandhandling.gateway","gateway",0.015442810994807772,101,447,"" -"org.axonframework.common.caching","caching",0.015408038844468348,30,40,"" -"org.axonframework.test.eventscheduler","eventscheduler",0.015323394403902537,9,38,"" -"org.axonframework.eventsourcing.snapshotting","snapshotting",0.015293801818821657,23,17,"" -"org.axonframework.test.utils","utils",0.015143833690570575,8,70,"" -"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.015142582084901346,9,236,"" -"org.axonframework.eventhandling.deadletter","deadletter",0.015047661204951029,9,275,"" -"org.axonframework.modelling.saga.repository.inmemory","inmemory",0.015029065920722479,5,15,"" -"org.axonframework.eventhandling.pooled","pooled",0.015007855674649285,52,1022,"" -"org.axonframework.eventsourcing.conflictresolution","conflictresolution",0.014984400547003687,15,99,"" -"org.axonframework.queryhandling.registration","registration",0.01482066016274283,9,13,"" -"org.axonframework.common.digest","digest",0.014611952197460957,1,1,"" -"org.axonframework.disruptor.commandhandling","commandhandling",0.01460980037163183,55,1487,"" -"org.axonframework.eventhandling.gateway","gateway",0.014589897606480957,11,52,"" -"org.axonframework.queryhandling.annotation","annotation",0.01453018931102834,4,199,"" -"org.axonframework.eventhandling.tokenstore.inmemory","inmemory",0.014490383780726594,2,25,"" -"org.axonframework.test.aggregate","aggregate",0.01447048101557572,31,2223,"" -"org.axonframework.deadline.annotation","annotation",0.01447048101557572,6,29,"" -"org.axonframework.tracing.attributes","attributes",0.01447048101557572,0,43,"" -"org.axonframework.config","config",0.01447048101557572,115,7942,"" -"org.axonframework.serialization.converters","converters",0.01447048101557572,0,7,"" -"org.axonframework.eventsourcing.eventstore.inmemory","inmemory",0.01447048101557572,1,75,"" -"org.axonframework.eventhandling.interceptors","interceptors",0.01447048101557572,0,28,"" -"org.axonframework.eventhandling.scheduling.java","java",0.01447048101557572,5,76,"" -"org.axonframework.modelling.saga.repository.jdbc","jdbc",0.01447048101557572,13,133,"" -"org.axonframework.eventhandling.tokenstore.jdbc","jdbc",0.01447048101557572,16,195,"" -"org.axonframework.deadline.jobrunr","jobrunr",0.01447048101557572,3,348,"" -"org.axonframework.eventhandling.scheduling.jobrunr","jobrunr",0.01447048101557572,3,198,"" -"org.axonframework.serialization.json","json",0.01447048101557572,7,87,"" -"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0.01447048101557572,23,375,"" -"org.axonframework.modelling.command.legacyjpa","legacyjpa",0.01447048101557572,2,143,"" -"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0.01447048101557572,3,81,"" -"org.axonframework.eventhandling.deadletter.legacyjpa","legacyjpa",0.01447048101557572,9,330,"" -"org.axonframework.eventhandling.tokenstore.legacyjpa","legacyjpa",0.01447048101557572,2,106,"" -"org.axonframework.messaging.interceptors.legacyvalidation","legacyvalidation",0.01447048101557572,1,27,"" -"org.axonframework.deadline.quartz","quartz",0.01447048101557572,5,481,"" -"org.axonframework.eventhandling.scheduling.quartz","quartz",0.01447048101557572,10,202,"" -"org.axonframework.test.saga","saga",0.01447048101557572,43,1375,"" +"org.axonframework.common.transaction","transaction",0.049997359281146556,276,6,"" +"org.axonframework.queryhandling","queryhandling",0.04675921677388153,175,1108,"" +"org.axonframework.eventhandling.tokenstore","tokenstore",0.044713928150977966,69,42,"" +"org.axonframework.tracing","tracing",0.04092794418195232,173,122,"" +"org.axonframework.modelling.command","command",0.034609236185294615,254,827,"" +"org.axonframework.common.annotation","annotation",0.033081117958263184,22,3,"" +"org.axonframework.common.io","io",0.03188229217313224,10,0,"" +"org.axonframework.eventsourcing.eventstore","eventstore",0.030320343055429456,169,603,"" +"org.axonframework.test","test",0.029993785787151825,16,13,"" +"org.axonframework.monitoring","monitoring",0.029641593300541294,189,21,"" +"org.axonframework.deadline","deadline",0.029110341705480904,165,347,"" +"org.axonframework.util","util",0.02809660885856248,3,6,"" +"org.axonframework.eventsourcing.eventstore.jdbc","jdbc",0.027498763262521504,218,1340,"" +"org.axonframework.common.jdbc","jdbc",0.026625990754736834,49,41,"" +"org.axonframework.messaging.deadletter","deadletter",0.025952351210925848,135,104,"" +"org.axonframework.commandhandling.distributed","distributed",0.02546481273934314,50,603,"" +"org.axonframework.modelling.command.inspection","inspection",0.024042584558427726,84,781,"" +"org.axonframework.common.stream","stream",0.02376057940330234,29,5,"" +"org.axonframework.serialization.upcasting.event","event",0.021873941092278987,38,188,"" +"org.axonframework.messaging.responsetypes","responsetypes",0.021060035825841626,78,65,"" +"org.axonframework.test.matchers","matchers",0.020995120978841597,61,51,"" +"org.axonframework.modelling.saga.metamodel","metamodel",0.020415522607661718,15,53,"" +"org.axonframework.eventhandling.tokenstore.jpa","jpa",0.020254826668877696,9,119,"" +"org.axonframework.messaging.correlation","correlation",0.019991951252062778,25,14,"" +"org.axonframework.modelling.saga.repository.jpa","jpa",0.0196298927085347,12,86,"" +"org.axonframework.eventhandling.deadletter.jpa","jpa",0.019513443649503866,25,317,"" +"org.axonframework.eventsourcing","eventsourcing",0.019261186547162766,134,976,"" +"org.axonframework.lifecycle","lifecycle",0.01893149580037773,62,10,"" +"org.axonframework.commandhandling.callbacks","callbacks",0.01840045289675946,8,39,"" +"org.axonframework.eventhandling.scheduling","scheduling",0.018358510849529913,16,2,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements","statements",0.018032225472731027,30,80,"" +"org.axonframework.messaging.interceptors","interceptors",0.018030868050138545,10,119,"" +"org.axonframework.common.lock","lock",0.017842209827590712,46,25,"" +"org.axonframework.common.jpa","jpa",0.017586016419508858,16,6,"" +"org.axonframework.serialization.upcasting","upcasting",0.017523038291642576,11,5,"" +"org.axonframework.eventhandling.async","async",0.01667426963981443,41,76,"" +"org.axonframework.common.property","property",0.01664313216622326,23,15,"" +"org.axonframework.modelling.saga.repository","repository",0.016586841394331125,72,199,"" +"org.axonframework.common.legacyjpa","legacyjpa",0.016412926653098157,14,6,"" +"org.axonframework.test.deadline","deadline",0.016335039462814813,10,138,"" +"org.axonframework.commandhandling.distributed.commandfilter","commandfilter",0.0161681351981986,12,34,"" +"org.axonframework.serialization.xml","xml",0.01603502058957991,17,28,"" +"org.axonframework.eventhandling.replay","replay",0.015886599391332534,12,72,"" +"org.axonframework.commandhandling.gateway","gateway",0.015442810994807777,101,447,"" +"org.axonframework.common.caching","caching",0.015408038844468354,30,40,"" +"org.axonframework.test.eventscheduler","eventscheduler",0.015323394403902542,9,38,"" +"org.axonframework.eventsourcing.snapshotting","snapshotting",0.015293801818821662,23,17,"" +"org.axonframework.test.utils","utils",0.01514383369057058,8,70,"" +"org.axonframework.eventsourcing.eventstore.jpa","jpa",0.015142582084901351,9,236,"" +"org.axonframework.eventhandling.deadletter","deadletter",0.015047661204951034,9,275,"" +"org.axonframework.modelling.saga.repository.inmemory","inmemory",0.015029065920722484,5,15,"" +"org.axonframework.eventhandling.pooled","pooled",0.01500785567464929,52,1022,"" +"org.axonframework.eventsourcing.conflictresolution","conflictresolution",0.014984400547003692,15,99,"" +"org.axonframework.queryhandling.registration","registration",0.014820660162742836,9,13,"" +"org.axonframework.common.digest","digest",0.014611952197460962,1,1,"" +"org.axonframework.disruptor.commandhandling","commandhandling",0.014609800371631836,55,1487,"" +"org.axonframework.eventhandling.gateway","gateway",0.014589897606480962,11,52,"" +"org.axonframework.queryhandling.annotation","annotation",0.014530189311028344,4,199,"" +"org.axonframework.eventhandling.tokenstore.inmemory","inmemory",0.014490383780726599,2,25,"" +"org.axonframework.test.aggregate","aggregate",0.014470481015575725,31,2223,"" +"org.axonframework.deadline.annotation","annotation",0.014470481015575725,6,29,"" +"org.axonframework.tracing.attributes","attributes",0.014470481015575725,0,43,"" +"org.axonframework.config","config",0.014470481015575725,115,7942,"" +"org.axonframework.serialization.converters","converters",0.014470481015575725,0,7,"" +"org.axonframework.eventsourcing.eventstore.inmemory","inmemory",0.014470481015575725,1,75,"" +"org.axonframework.eventhandling.interceptors","interceptors",0.014470481015575725,0,28,"" +"org.axonframework.eventhandling.scheduling.java","java",0.014470481015575725,5,76,"" +"org.axonframework.eventhandling.tokenstore.jdbc","jdbc",0.014470481015575725,16,195,"" +"org.axonframework.modelling.saga.repository.jdbc","jdbc",0.014470481015575725,13,133,"" +"org.axonframework.deadline.jobrunr","jobrunr",0.014470481015575725,3,348,"" +"org.axonframework.eventhandling.scheduling.jobrunr","jobrunr",0.014470481015575725,3,198,"" +"org.axonframework.serialization.json","json",0.014470481015575725,7,87,"" +"org.axonframework.eventhandling.deadletter.legacyjpa","legacyjpa",0.014470481015575725,9,330,"" +"org.axonframework.eventhandling.tokenstore.legacyjpa","legacyjpa",0.014470481015575725,2,106,"" +"org.axonframework.modelling.command.legacyjpa","legacyjpa",0.014470481015575725,2,143,"" +"org.axonframework.modelling.saga.repository.legacyjpa","legacyjpa",0.014470481015575725,3,81,"" +"org.axonframework.eventsourcing.eventstore.legacyjpa","legacyjpa",0.014470481015575725,23,375,"" +"org.axonframework.messaging.interceptors.legacyvalidation","legacyvalidation",0.014470481015575725,1,27,"" +"org.axonframework.deadline.quartz","quartz",0.014470481015575725,5,481,"" +"org.axonframework.eventhandling.scheduling.quartz","quartz",0.014470481015575725,10,202,"" +"org.axonframework.test.saga","saga",0.014470481015575725,43,1375,"" diff --git a/results/AxonFramework-4.7.5/community-csv/Leiden_Communities.csv b/results/AxonFramework-4.7.5/community-csv/Leiden_Communities.csv index 993f350b1..a644f98d9 100644 --- a/results/AxonFramework-4.7.5/community-csv/Leiden_Communities.csv +++ b/results/AxonFramework-4.7.5/community-csv/Leiden_Communities.csv @@ -1,11 +1,14 @@ -"firstCommunityId","finalCommunityId","countOfMembers","packages","Source Cypher File: Community_Detection_4_Leiden_Stream.cypher" -81,2,20,"org.axonframework.eventsourcing,org.axonframework.eventsourcing.conflictresolution,org.axonframework.modelling.command,org.axonframework.modelling.command.inspection,org.axonframework.modelling.command.legacyjpa,org.axonframework.commandhandling,org.axonframework.commandhandling.callbacks,org.axonframework.commandhandling.distributed,org.axonframework.commandhandling.distributed.commandfilter,org.axonframework.commandhandling.gateway,org.axonframework.common,org.axonframework.common.annotation,org.axonframework.common.caching,org.axonframework.common.digest,org.axonframework.common.lock,org.axonframework.common.property,org.axonframework.deadline.annotation,org.axonframework.messaging.annotation,org.axonframework.queryhandling.annotation,org.axonframework.disruptor.commandhandling","" -41,4,17,"org.axonframework.eventsourcing.eventstore,org.axonframework.eventsourcing.eventstore.inmemory,org.axonframework.eventsourcing.eventstore.jpa,org.axonframework.eventsourcing.eventstore.legacyjpa,org.axonframework.eventsourcing.snapshotting,org.axonframework.config,org.axonframework.common.io,org.axonframework.common.stream,org.axonframework.common.transaction,org.axonframework.eventhandling,org.axonframework.eventhandling.async,org.axonframework.eventhandling.deadletter,org.axonframework.eventhandling.gateway,org.axonframework.eventhandling.pooled,org.axonframework.eventhandling.scheduling.java,org.axonframework.lifecycle,org.axonframework.monitoring","" -69,5,15,"org.axonframework.deadline,org.axonframework.deadline.jobrunr,org.axonframework.deadline.quartz,org.axonframework.eventhandling.interceptors,org.axonframework.eventhandling.replay,org.axonframework.messaging,org.axonframework.messaging.correlation,org.axonframework.messaging.interceptors,org.axonframework.messaging.interceptors.legacyvalidation,org.axonframework.messaging.responsetypes,org.axonframework.messaging.unitofwork,org.axonframework.queryhandling,org.axonframework.queryhandling.registration,org.axonframework.tracing,org.axonframework.tracing.attributes","" -74,6,10,"org.axonframework.eventhandling.scheduling,org.axonframework.eventhandling.scheduling.jobrunr,org.axonframework.eventhandling.scheduling.quartz,org.axonframework.serialization,org.axonframework.serialization.converters,org.axonframework.serialization.json,org.axonframework.serialization.upcasting,org.axonframework.serialization.upcasting.event,org.axonframework.serialization.xml,org.axonframework.util","" -83,0,7,"org.axonframework.test,org.axonframework.test.aggregate,org.axonframework.test.matchers,org.axonframework.test.saga,org.axonframework.test.utils,org.axonframework.test.deadline,org.axonframework.test.eventscheduler","" -14,3,7,"org.axonframework.modelling.saga,org.axonframework.modelling.saga.metamodel,org.axonframework.modelling.saga.repository,org.axonframework.modelling.saga.repository.inmemory,org.axonframework.modelling.saga.repository.jdbc,org.axonframework.modelling.saga.repository.jpa,org.axonframework.modelling.saga.repository.legacyjpa","" -45,6,5,"org.axonframework.common.jpa,org.axonframework.common.legacyjpa,org.axonframework.eventhandling.deadletter.jpa,org.axonframework.eventhandling.deadletter.legacyjpa,org.axonframework.messaging.deadletter","" -56,7,4,"org.axonframework.common.jdbc,org.axonframework.eventhandling.tokenstore,org.axonframework.eventhandling.tokenstore.inmemory,org.axonframework.eventhandling.tokenstore.jdbc","" -5,4,2,"org.axonframework.eventsourcing.eventstore.jdbc,org.axonframework.eventsourcing.eventstore.jdbc.statements","" -58,7,2,"org.axonframework.eventhandling.tokenstore.jpa,org.axonframework.eventhandling.tokenstore.legacyjpa","" +"firstCommunityId","finalCommunityId","countOfMembers","packages","Source Cypher File: Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher" +28,2,16,"org.axonframework.common.io,org.axonframework.common.stream,org.axonframework.common.transaction,org.axonframework.eventhandling,org.axonframework.eventhandling.async,org.axonframework.eventhandling.deadletter,org.axonframework.eventhandling.gateway,org.axonframework.eventhandling.pooled,org.axonframework.eventhandling.scheduling.java,org.axonframework.lifecycle,org.axonframework.eventsourcing.eventstore,org.axonframework.eventsourcing.eventstore.inmemory,org.axonframework.eventsourcing.eventstore.jpa,org.axonframework.eventsourcing.eventstore.legacyjpa,org.axonframework.eventsourcing.snapshotting,org.axonframework.config","" +56,6,14,"org.axonframework.deadline,org.axonframework.deadline.quartz,org.axonframework.deadline.jobrunr,org.axonframework.eventhandling.replay,org.axonframework.messaging,org.axonframework.messaging.correlation,org.axonframework.messaging.interceptors,org.axonframework.messaging.interceptors.legacyvalidation,org.axonframework.messaging.responsetypes,org.axonframework.monitoring,org.axonframework.queryhandling,org.axonframework.queryhandling.registration,org.axonframework.tracing,org.axonframework.tracing.attributes","" +69,7,11,"org.axonframework.common,org.axonframework.common.annotation,org.axonframework.common.digest,org.axonframework.common.lock,org.axonframework.common.property,org.axonframework.deadline.annotation,org.axonframework.messaging.annotation,org.axonframework.queryhandling.annotation,org.axonframework.modelling.command,org.axonframework.modelling.command.inspection,org.axonframework.modelling.command.legacyjpa","" +59,5,10,"org.axonframework.eventhandling.scheduling,org.axonframework.eventhandling.scheduling.jobrunr,org.axonframework.eventhandling.scheduling.quartz,org.axonframework.serialization,org.axonframework.serialization.converters,org.axonframework.serialization.json,org.axonframework.serialization.upcasting,org.axonframework.serialization.upcasting.event,org.axonframework.serialization.xml,org.axonframework.util","" +1,0,7,"org.axonframework.test,org.axonframework.test.aggregate,org.axonframework.test.matchers,org.axonframework.test.saga,org.axonframework.test.utils,org.axonframework.test.deadline,org.axonframework.test.eventscheduler","" +73,1,7,"org.axonframework.modelling.saga,org.axonframework.modelling.saga.metamodel,org.axonframework.modelling.saga.repository,org.axonframework.modelling.saga.repository.inmemory,org.axonframework.modelling.saga.repository.jdbc,org.axonframework.modelling.saga.repository.jpa,org.axonframework.modelling.saga.repository.legacyjpa","" +32,5,5,"org.axonframework.common.jpa,org.axonframework.common.legacyjpa,org.axonframework.eventhandling.deadletter.jpa,org.axonframework.eventhandling.deadletter.legacyjpa,org.axonframework.messaging.deadletter","" +11,7,5,"org.axonframework.commandhandling,org.axonframework.commandhandling.callbacks,org.axonframework.commandhandling.distributed,org.axonframework.commandhandling.distributed.commandfilter,org.axonframework.commandhandling.gateway","" +43,3,4,"org.axonframework.common.jdbc,org.axonframework.eventhandling.tokenstore,org.axonframework.eventhandling.tokenstore.inmemory,org.axonframework.eventhandling.tokenstore.jdbc","" +79,7,4,"org.axonframework.common.caching,org.axonframework.disruptor.commandhandling,org.axonframework.eventsourcing,org.axonframework.eventsourcing.conflictresolution","" +84,2,2,"org.axonframework.eventsourcing.eventstore.jdbc,org.axonframework.eventsourcing.eventstore.jdbc.statements","" +45,3,2,"org.axonframework.eventhandling.tokenstore.jpa,org.axonframework.eventhandling.tokenstore.legacyjpa","" +79,6,2,"org.axonframework.eventhandling.interceptors,org.axonframework.messaging.unitofwork","" diff --git a/results/AxonFramework-4.7.5/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv b/results/AxonFramework-4.7.5/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv index 6da6f628c..deb19772c 100644 --- a/results/AxonFramework-4.7.5/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv +++ b/results/AxonFramework-4.7.5/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv @@ -1,8 +1,8 @@ -"communityId","artifactName","packageCount","packageNames","Source Cypher File: Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher" -0,"axon-disruptor-4.7.5",1,"commandhandling","" -0,"axon-eventsourcing-4.7.5",2,"eventsourcing,conflictresolution","" -0,"axon-messaging-4.7.5",16,"commandhandling,callbacks,distributed,commandfilter,gateway,common,annotation,caching,digest,lock,property,replay,legacyvalidation","" -0,"axon-modelling-4.7.5",3,"command,inspection,legacyjpa","" -1,"axon-configuration-4.7.5",1,"config","" -1,"axon-eventsourcing-4.7.5",7,"eventstore,inmemory,jdbc,statements,jpa,legacyjpa,snapshotting","" -1,"axon-messaging-4.7.5",10,"io,stream,transaction,eventhandling,async,deadletter,gateway,pooled,java,lifecycle","" +"communityId","artifactName","packageCount","packageNames","Source Cypher File: Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher" +1,"axon-disruptor-4.7.5",1,"commandhandling","" +1,"axon-eventsourcing-4.7.5",2,"eventsourcing,conflictresolution","" +1,"axon-messaging-4.7.5",14,"commandhandling,callbacks,distributed,commandfilter,gateway,common,annotation,caching,digest,lock,property","" +1,"axon-modelling-4.7.5",3,"command,inspection,legacyjpa","" +2,"axon-configuration-4.7.5",1,"config","" +2,"axon-eventsourcing-4.7.5",7,"eventstore,inmemory,jdbc,statements,jpa,legacyjpa,snapshotting","" +2,"axon-messaging-4.7.5",11,"io,stream,transaction,eventhandling,async,deadletter,gateway,pooled,java,lifecycle,monitoring","" diff --git a/results/AxonFramework-4.7.5/community-csv/Louvain_Communities.csv b/results/AxonFramework-4.7.5/community-csv/Louvain_Communities.csv index 30fd6368f..b1fe0211a 100644 --- a/results/AxonFramework-4.7.5/community-csv/Louvain_Communities.csv +++ b/results/AxonFramework-4.7.5/community-csv/Louvain_Communities.csv @@ -1,13 +1,13 @@ -"firstCommunityId","finalCommunityId","countOfMembers","packages","Source Cypher File: Community_Detection_4_Louvain_Stream.cypher" -41,41,17,"org.axonframework.eventsourcing.eventstore,org.axonframework.eventsourcing.eventstore.inmemory,org.axonframework.eventsourcing.eventstore.jpa,org.axonframework.eventsourcing.eventstore.legacyjpa,org.axonframework.eventsourcing.snapshotting,org.axonframework.config,org.axonframework.common.io,org.axonframework.common.stream,org.axonframework.common.transaction,org.axonframework.eventhandling,org.axonframework.eventhandling.async,org.axonframework.eventhandling.deadletter,org.axonframework.eventhandling.gateway,org.axonframework.eventhandling.pooled,org.axonframework.eventhandling.scheduling.java,org.axonframework.lifecycle,org.axonframework.monitoring","" -60,72,13,"org.axonframework.deadline,org.axonframework.deadline.jobrunr,org.axonframework.deadline.quartz,org.axonframework.eventhandling.replay,org.axonframework.messaging,org.axonframework.messaging.correlation,org.axonframework.messaging.interceptors,org.axonframework.messaging.interceptors.legacyvalidation,org.axonframework.messaging.responsetypes,org.axonframework.queryhandling,org.axonframework.queryhandling.registration,org.axonframework.tracing,org.axonframework.tracing.attributes","" -9,9,11,"org.axonframework.modelling.command,org.axonframework.modelling.command.inspection,org.axonframework.modelling.command.legacyjpa,org.axonframework.common,org.axonframework.common.annotation,org.axonframework.common.digest,org.axonframework.common.lock,org.axonframework.common.property,org.axonframework.deadline.annotation,org.axonframework.messaging.annotation,org.axonframework.queryhandling.annotation","" -72,72,10,"org.axonframework.eventhandling.scheduling,org.axonframework.eventhandling.scheduling.jobrunr,org.axonframework.eventhandling.scheduling.quartz,org.axonframework.serialization,org.axonframework.serialization.converters,org.axonframework.serialization.json,org.axonframework.serialization.upcasting,org.axonframework.serialization.upcasting.event,org.axonframework.serialization.xml,org.axonframework.util","" -14,14,7,"org.axonframework.modelling.saga,org.axonframework.modelling.saga.metamodel,org.axonframework.modelling.saga.repository,org.axonframework.modelling.saga.repository.inmemory,org.axonframework.modelling.saga.repository.jdbc,org.axonframework.modelling.saga.repository.jpa,org.axonframework.modelling.saga.repository.legacyjpa","" -83,83,7,"org.axonframework.test,org.axonframework.test.aggregate,org.axonframework.test.matchers,org.axonframework.test.saga,org.axonframework.test.utils,org.axonframework.test.deadline,org.axonframework.test.eventscheduler","" -81,9,6,"org.axonframework.eventsourcing,org.axonframework.eventsourcing.conflictresolution,org.axonframework.common.caching,org.axonframework.eventhandling.interceptors,org.axonframework.messaging.unitofwork,org.axonframework.disruptor.commandhandling","" -24,9,5,"org.axonframework.commandhandling,org.axonframework.commandhandling.callbacks,org.axonframework.commandhandling.distributed,org.axonframework.commandhandling.distributed.commandfilter,org.axonframework.commandhandling.gateway","" -45,72,5,"org.axonframework.common.jpa,org.axonframework.common.legacyjpa,org.axonframework.eventhandling.deadletter.jpa,org.axonframework.eventhandling.deadletter.legacyjpa,org.axonframework.messaging.deadletter","" -56,56,4,"org.axonframework.common.jdbc,org.axonframework.eventhandling.tokenstore,org.axonframework.eventhandling.tokenstore.inmemory,org.axonframework.eventhandling.tokenstore.jdbc","" -5,41,2,"org.axonframework.eventsourcing.eventstore.jdbc,org.axonframework.eventsourcing.eventstore.jdbc.statements","" -57,56,2,"org.axonframework.eventhandling.tokenstore.jpa,org.axonframework.eventhandling.tokenstore.legacyjpa","" +"firstCommunityId","finalCommunityId","countOfMembers","packages","Source Cypher File: Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher" +28,28,19,"org.axonframework.common.io,org.axonframework.common.stream,org.axonframework.common.transaction,org.axonframework.eventhandling,org.axonframework.eventhandling.async,org.axonframework.eventhandling.deadletter,org.axonframework.eventhandling.gateway,org.axonframework.eventhandling.pooled,org.axonframework.eventhandling.scheduling,org.axonframework.eventhandling.scheduling.java,org.axonframework.eventhandling.scheduling.quartz,org.axonframework.lifecycle,org.axonframework.monitoring,org.axonframework.eventsourcing.eventstore,org.axonframework.eventsourcing.eventstore.inmemory,org.axonframework.eventsourcing.eventstore.jpa,org.axonframework.eventsourcing.eventstore.legacyjpa,org.axonframework.eventsourcing.snapshotting,org.axonframework.config","" +47,47,15,"org.axonframework.deadline,org.axonframework.deadline.quartz,org.axonframework.deadline.jobrunr,org.axonframework.eventhandling.interceptors,org.axonframework.eventhandling.replay,org.axonframework.messaging,org.axonframework.messaging.correlation,org.axonframework.messaging.interceptors,org.axonframework.messaging.interceptors.legacyvalidation,org.axonframework.messaging.responsetypes,org.axonframework.messaging.unitofwork,org.axonframework.queryhandling,org.axonframework.queryhandling.registration,org.axonframework.tracing,org.axonframework.tracing.attributes","" +68,79,11,"org.axonframework.common,org.axonframework.common.annotation,org.axonframework.common.digest,org.axonframework.common.lock,org.axonframework.common.property,org.axonframework.deadline.annotation,org.axonframework.messaging.annotation,org.axonframework.queryhandling.annotation,org.axonframework.modelling.command,org.axonframework.modelling.command.inspection,org.axonframework.modelling.command.legacyjpa","" +59,47,8,"org.axonframework.eventhandling.scheduling.jobrunr,org.axonframework.serialization,org.axonframework.serialization.converters,org.axonframework.serialization.json,org.axonframework.serialization.upcasting,org.axonframework.serialization.upcasting.event,org.axonframework.serialization.xml,org.axonframework.util","" +1,68,7,"org.axonframework.test,org.axonframework.test.aggregate,org.axonframework.test.matchers,org.axonframework.test.saga,org.axonframework.test.utils,org.axonframework.test.deadline,org.axonframework.test.eventscheduler","" +73,73,7,"org.axonframework.modelling.saga,org.axonframework.modelling.saga.metamodel,org.axonframework.modelling.saga.repository,org.axonframework.modelling.saga.repository.inmemory,org.axonframework.modelling.saga.repository.jdbc,org.axonframework.modelling.saga.repository.jpa,org.axonframework.modelling.saga.repository.legacyjpa","" +32,59,5,"org.axonframework.common.jpa,org.axonframework.common.legacyjpa,org.axonframework.eventhandling.deadletter.jpa,org.axonframework.eventhandling.deadletter.legacyjpa,org.axonframework.messaging.deadletter","" +7,79,5,"org.axonframework.commandhandling,org.axonframework.commandhandling.callbacks,org.axonframework.commandhandling.distributed,org.axonframework.commandhandling.distributed.commandfilter,org.axonframework.commandhandling.gateway","" +43,45,4,"org.axonframework.common.jdbc,org.axonframework.eventhandling.tokenstore,org.axonframework.eventhandling.tokenstore.inmemory,org.axonframework.eventhandling.tokenstore.jdbc","" +79,79,4,"org.axonframework.common.caching,org.axonframework.disruptor.commandhandling,org.axonframework.eventsourcing,org.axonframework.eventsourcing.conflictresolution","" +83,28,2,"org.axonframework.eventsourcing.eventstore.jdbc,org.axonframework.eventsourcing.eventstore.jdbc.statements","" +45,45,2,"org.axonframework.eventhandling.tokenstore.jpa,org.axonframework.eventhandling.tokenstore.legacyjpa","" diff --git a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_overall.csv b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_overall.csv index 884bd632e..d6caa10e7 100644 --- a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_overall.csv +++ b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_overall.csv @@ -1,50 +1,50 @@ -"externalPackageName","numberOfExternalTypeCaller","numberOfExternalTypeCalls","allTypes","externalTypeNames","Source Cypher File: External_package_usage_overall.cypher" +"externalPackageName","numberOfExternalTypeCaller","numberOfExternalTypeCalls","allTypes","externalTypeNames","Source Cypher File: External_Dependencies/External_package_usage_overall.cypher" "javax.annotation",325,1419,2506,"Nonnull,Nullable,PreDestroy","" "org.slf4j",193,541,2506,"LoggerFactory,Logger","" -"javax.persistence",78,339,2506,"MappedSuperclass,IdClass,Id,Entity,Index,Table,EntityExistsException,Query,TypedQuery,EntityManager,LockModeType,Column,Lob,Basic,GeneratedValue,EntityManagerFactory,EntityNotFoundException,Embedded,Embeddable,NoResultException","" -"jakarta.persistence",69,327,2506,"IdClass,Id,MappedSuperclass,Index,Table,Entity,EntityExistsException,EntityManager,Query,TypedQuery,LockModeType,Column,Lob,Basic,EntityNotFoundException,EntityManagerFactory,GeneratedValue,Embedded,Embeddable,NoResultException","" -"org.hamcrest",61,498,2506,"Description,StringDescription,CoreMatchers,Matcher,Matchers,BaseMatcher,TypeSafeMatcher","" -"com.fasterxml.jackson.annotation",54,84,2506,"JsonProperty,JsonCreator,JsonGetter,JsonTypeInfo$Id,JsonTypeInfo,JsonIgnore,JsonTypeInfo$As","" -"org.quartz",37,226,2506,"JobDataMap,Job,JobExecutionContext,JobDetail,Scheduler,SchedulerContext,JobExecutionException,Trigger,TriggerBuilder,SchedulerException,JobKey,JobBuilder","" -"reactor.core.publisher",33,149,2506,"Mono,Flux,FluxSink$OverflowStrategy,FluxSink,MonoSink,Signal,Sinks$ManySpec,EmitterProcessor,Sinks$Many,Sinks$MulticastReplaySpec,ConnectableFlux,Sinks,Sinks$EmitResult","" -"com.fasterxml.jackson.databind",15,73,2506,"JsonDeserializer,DeserializationContext,JsonNode,ObjectMapper,ObjectMapper$DefaultTyping,DeserializationFeature,ObjectWriter,ObjectReader","" +"javax.persistence",78,339,2506,"TypedQuery,EntityManager,MappedSuperclass,Basic,Lob,Column,Id,GeneratedValue,Embedded,Index,Entity,Table,Embeddable,NoResultException,Query,LockModeType,IdClass,EntityNotFoundException,EntityManagerFactory,EntityExistsException","" +"jakarta.persistence",69,327,2506,"TypedQuery,EntityManager,Basic,MappedSuperclass,Lob,Column,Id,GeneratedValue,Embedded,Index,Entity,Table,Embeddable,NoResultException,Query,LockModeType,IdClass,EntityManagerFactory,EntityNotFoundException,EntityExistsException","" +"org.hamcrest",61,498,2506,"StringDescription,Description,CoreMatchers,Matcher,Matchers,BaseMatcher,TypeSafeMatcher","" +"com.fasterxml.jackson.annotation",54,84,2506,"JsonGetter,JsonProperty,JsonTypeInfo$Id,JsonTypeInfo,JsonCreator,JsonIgnore,JsonTypeInfo$As","" +"org.quartz",37,226,2506,"JobDataMap,JobExecutionContext,SchedulerContext,Scheduler,JobDetail,JobExecutionException,Job,SchedulerException,JobKey,Trigger,JobBuilder,TriggerBuilder","" +"reactor.core.publisher",33,149,2506,"Flux,Mono,FluxSink$OverflowStrategy,FluxSink,MonoSink,Signal,ConnectableFlux,EmitterProcessor,Sinks,Sinks$ManySpec,Sinks$Many,Sinks$MulticastReplaySpec,Sinks$EmitResult","" +"com.fasterxml.jackson.databind",15,73,2506,"JsonNode,ObjectMapper,DeserializationFeature,ObjectMapper$DefaultTyping,DeserializationContext,JsonDeserializer,ObjectWriter,ObjectReader","" "org.reactivestreams",13,41,2506,"Publisher","" -"com.thoughtworks.xstream.io",9,46,2506,"HierarchicalStreamWriter,HierarchicalStreamReader,HierarchicalStreamDriver","" -"com.lmax.disruptor",9,29,2506,"RingBuffer,EventHandler,LifecycleAware,BlockingWaitStrategy,WaitStrategy,ExceptionHandler","" -"javax.cache.event",8,34,2506,"CacheEntryListener,CacheEntryListenerException,CacheEntryCreatedListener,CacheEntryRemovedListener,CacheEntryUpdatedListener,CacheEntryEvent,CacheEntryExpiredListener,CacheEntryEventFilter","" +"com.lmax.disruptor",9,29,2506,"RingBuffer,EventHandler,LifecycleAware,WaitStrategy,BlockingWaitStrategy,ExceptionHandler","" +"com.thoughtworks.xstream.io",9,46,2506,"HierarchicalStreamReader,HierarchicalStreamWriter,HierarchicalStreamDriver","" +"javax.cache.event",8,34,2506,"CacheEntryListener,CacheEntryRemovedListener,CacheEntryUpdatedListener,CacheEntryCreatedListener,CacheEntryEventFilter,CacheEntryExpiredListener,CacheEntryEvent,CacheEntryListenerException","" +"com.thoughtworks.xstream.converters",6,12,2506,"UnmarshallingContext,MarshallingContext","" "javax.sql",6,24,2506,"DataSource","" -"com.thoughtworks.xstream.converters",6,12,2506,"MarshallingContext,UnmarshallingContext","" -"javax.validation",5,22,2506,"ConstraintViolation,Validation,Validator,ValidatorFactory","" -"nu.xom",5,16,2506,"Document,Builder,ParsingException","" -"net.sf.ehcache",5,63,2506,"Ehcache,Element,CacheException","" -"com.lmax.disruptor.dsl",5,22,2506,"EventHandlerGroup,Disruptor,ProducerType","" +"com.lmax.disruptor.dsl",5,22,2506,"Disruptor,EventHandlerGroup,ProducerType","" "com.thoughtworks.xstream.mapper",5,10,2506,"Mapper,CannotResolveClassException","" -"jakarta.validation",5,22,2506,"Validator,ConstraintViolation,Validation,ValidatorFactory","" -"com.fasterxml.jackson.core",4,11,2506,"JacksonException,JsonParser,JsonProcessingException","" -"org.jobrunr.scheduling",4,19,2506,"JobScheduler","" +"jakarta.validation",5,22,2506,"ValidatorFactory,Validation,ConstraintViolation,Validator","" +"javax.validation",5,22,2506,"Validation,Validator,ConstraintViolation,ValidatorFactory","" +"net.sf.ehcache",5,63,2506,"Element,Ehcache,CacheException","" +"nu.xom",5,16,2506,"Document,Builder,ParsingException","" +"com.fasterxml.jackson.core",4,11,2506,"JsonParser,JacksonException,JsonProcessingException","" "com.thoughtworks.xstream",4,47,2506,"XStream","" -"com.thoughtworks.xstream.io.xml",4,13,2506,"XomReader,Dom4JReader,XppDriver,CompactWriter","" -"net.sf.ehcache.event",3,9,2506,"CacheEventListener,RegisteredEventListeners","" -"com.thoughtworks.xstream.converters.collections",3,7,2506,"CollectionConverter,MapConverter","" -"org.testcontainers.utility",3,17,2506,"DockerImageName,MountableFile","" -"org.dom4j",3,12,2506,"Document","" -"org.junit.jupiter.api.extension",3,6,2506,"ExtensionContext,AfterEachCallback,BeforeEachCallback","" -"javax.cache.configuration",3,11,2506,"Factory,CacheEntryListenerConfiguration","" +"com.thoughtworks.xstream.io.xml",4,13,2506,"Dom4JReader,XomReader,CompactWriter,XppDriver","" +"org.jobrunr.scheduling",4,19,2506,"JobScheduler","" "com.fasterxml.jackson.databind.node",3,14,2506,"JsonNodeType,ObjectNode","" "com.fasterxml.jackson.databind.type",3,3,2506,"TypeFactory","" -"reactor.util.context",2,7,2506,"Context,ContextView","" -"org.testcontainers.containers",2,8,2506,"GenericContainer","" -"reactor.util.concurrent",2,3,2506,"Queues","" +"com.thoughtworks.xstream.converters.collections",3,7,2506,"MapConverter,CollectionConverter","" +"javax.cache.configuration",3,11,2506,"Factory,CacheEntryListenerConfiguration","" +"net.sf.ehcache.event",3,9,2506,"CacheEventListener,RegisteredEventListeners","" +"org.dom4j",3,12,2506,"Document","" +"org.junit.jupiter.api.extension",3,6,2506,"BeforeEachCallback,AfterEachCallback,ExtensionContext","" +"org.testcontainers.utility",3,17,2506,"DockerImageName,MountableFile","" "org.junit.runners.model",2,8,2506,"Statement","" +"org.testcontainers.containers",2,8,2506,"GenericContainer","" "org.testcontainers.containers.wait.strategy",2,2,2506,"Wait","" -"org.junit.jupiter.api",1,1,2506,"Assertions","" -"javax.cache",1,14,2506,"Cache","" -"org.junit.runner",1,2,2506,"Description","" -"reactor.core",1,2,2506,"Disposable","" -"org.quartz.impl.matchers",1,2,2506,"GroupMatcher","" +"reactor.util.concurrent",2,3,2506,"Queues","" +"reactor.util.context",2,7,2506,"Context,ContextView","" +"com.fasterxml.jackson.databind.jsontype",1,3,2506,"TypeDeserializer","" +"com.fasterxml.jackson.databind.module",1,3,2506,"SimpleModule","" "com.fasterxml.jackson.datatype.jsr310",1,2,2506,"JavaTimeModule","" +"javax.cache",1,14,2506,"Cache","" +"javax.xml.stream",1,2,2506,"XMLStreamException","" "org.dom4j.io",1,3,2506,"STAXEventReader","" -"com.fasterxml.jackson.databind.module",1,3,2506,"SimpleModule","" +"org.junit.jupiter.api",1,1,2506,"Assertions","" "org.junit.rules",1,1,2506,"TestRule","" -"com.fasterxml.jackson.databind.jsontype",1,3,2506,"TypeDeserializer","" -"javax.xml.stream",1,2,2506,"XMLStreamException","" +"org.junit.runner",1,2,2506,"Description","" +"org.quartz.impl.matchers",1,2,2506,"GroupMatcher","" +"reactor.core",1,2,2506,"Disposable","" diff --git a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact.csv b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact.csv index 3ad08c8be..abe2a9718 100644 --- a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact.csv +++ b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact.csv @@ -1,67 +1,67 @@ -"artifactName","externalPackageName","numberOfExternalTypeCaller","numberOfExternalTypeCalls","numberOfTypesInArtifact","externalTypeNames","Source Cypher File: External_package_usage_per_artifact.cypher" +"artifactName","externalPackageName","numberOfExternalTypeCaller","numberOfExternalTypeCalls","numberOfTypesInArtifact","externalTypeNames","Source Cypher File: External_Dependencies/External_package_usage_per_artifact.cypher" "axon-configuration-4.7.5","javax.annotation",12,104,39,"Nonnull","" -"axon-configuration-4.7.5","org.slf4j",9,28,39,"LoggerFactory,Logger","" +"axon-configuration-4.7.5","org.slf4j",9,28,39,"Logger,LoggerFactory","" "axon-disruptor-4.7.5","org.slf4j",12,22,22,"LoggerFactory,Logger","" -"axon-disruptor-4.7.5","com.lmax.disruptor",9,29,22,"EventHandler,LifecycleAware,RingBuffer,ExceptionHandler,BlockingWaitStrategy,WaitStrategy","" +"axon-disruptor-4.7.5","com.lmax.disruptor",9,29,22,"RingBuffer,ExceptionHandler,WaitStrategy,BlockingWaitStrategy,EventHandler,LifecycleAware","" "axon-disruptor-4.7.5","javax.annotation",6,23,22,"Nonnull","" "axon-disruptor-4.7.5","com.lmax.disruptor.dsl",5,22,22,"Disruptor,EventHandlerGroup,ProducerType","" "axon-eventsourcing-4.7.5","javax.annotation",29,94,130,"Nonnull,PreDestroy,Nullable","" -"axon-eventsourcing-4.7.5","org.slf4j",23,43,130,"Logger,LoggerFactory","" -"axon-eventsourcing-4.7.5","javax.persistence",11,50,130,"Entity,MappedSuperclass,IdClass,Id,Query,TypedQuery,EntityManager,Index,Table,EntityExistsException","" -"axon-eventsourcing-4.7.5","jakarta.persistence",11,50,130,"Entity,IdClass,Id,MappedSuperclass,Index,Table,EntityManager,Query,TypedQuery,EntityExistsException","" +"axon-eventsourcing-4.7.5","org.slf4j",23,43,130,"LoggerFactory,Logger","" +"axon-eventsourcing-4.7.5","jakarta.persistence",11,50,130,"Index,Table,Entity,Id,IdClass,MappedSuperclass,EntityManager,Query,TypedQuery,EntityExistsException","" +"axon-eventsourcing-4.7.5","javax.persistence",11,50,130,"Entity,Table,Index,MappedSuperclass,Id,IdClass,TypedQuery,EntityManager,Query,EntityExistsException","" "axon-eventsourcing-4.7.5","javax.sql",4,18,130,"DataSource","" "axon-messaging-4.7.5","javax.annotation",231,1014,729,"Nonnull,Nullable","" -"axon-messaging-4.7.5","org.slf4j",128,381,729,"LoggerFactory,Logger","" -"axon-messaging-4.7.5","com.fasterxml.jackson.annotation",50,78,729,"JsonProperty,JsonGetter,JsonCreator,JsonTypeInfo,JsonTypeInfo$As,JsonTypeInfo$Id,JsonIgnore","" -"axon-messaging-4.7.5","javax.persistence",44,193,729,"Basic,MappedSuperclass,GeneratedValue,Id,Lob,Column,IdClass,Entity,Query,EntityManager,NoResultException,TypedQuery,Embeddable,LockModeType,Table,Embedded,Index","" -"axon-messaging-4.7.5","jakarta.persistence",40,187,729,"Query,NoResultException,TypedQuery,EntityManager,Basic,MappedSuperclass,LockModeType,Id,GeneratedValue,Lob,Column,IdClass,Entity,Embeddable,Embedded,Index,Table","" -"axon-messaging-4.7.5","org.quartz",37,226,729,"JobDataMap,Job,JobExecutionContext,JobDetail,Scheduler,SchedulerContext,JobExecutionException,Trigger,TriggerBuilder,SchedulerException,JobKey,JobBuilder","" -"axon-messaging-4.7.5","reactor.core.publisher",33,149,729,"Flux,Mono,FluxSink$OverflowStrategy,FluxSink,Sinks$EmitResult,Sinks$Many,MonoSink,Sinks$ManySpec,EmitterProcessor,Sinks$MulticastReplaySpec,ConnectableFlux,Sinks,Signal","" -"axon-messaging-4.7.5","com.fasterxml.jackson.databind",15,73,729,"JsonDeserializer,DeserializationContext,ObjectWriter,ObjectReader,ObjectMapper,JsonNode,ObjectMapper$DefaultTyping,DeserializationFeature","" +"axon-messaging-4.7.5","org.slf4j",128,381,729,"Logger,LoggerFactory","" +"axon-messaging-4.7.5","com.fasterxml.jackson.annotation",50,78,729,"JsonGetter,JsonProperty,JsonTypeInfo$Id,JsonTypeInfo,JsonTypeInfo$As,JsonCreator,JsonIgnore","" +"axon-messaging-4.7.5","javax.persistence",44,193,729,"EntityManager,TypedQuery,LockModeType,Query,MappedSuperclass,Id,GeneratedValue,Column,IdClass,Entity,Basic,Lob,Embeddable,NoResultException,Embedded,Index,Table","" +"axon-messaging-4.7.5","jakarta.persistence",40,187,729,"MappedSuperclass,Id,GeneratedValue,Column,Basic,Lob,IdClass,Entity,EntityManager,TypedQuery,NoResultException,Query,LockModeType,Embeddable,Embedded,Index,Table","" +"axon-messaging-4.7.5","org.quartz",37,226,729,"Scheduler,JobDetail,JobDataMap,Job,JobExecutionException,SchedulerContext,JobExecutionContext,Trigger,JobKey,SchedulerException,JobBuilder,TriggerBuilder","" +"axon-messaging-4.7.5","reactor.core.publisher",33,149,729,"MonoSink,Sinks$Many,Sinks$EmitResult,Mono,Flux,FluxSink,FluxSink$OverflowStrategy,Signal,ConnectableFlux,EmitterProcessor,Sinks,Sinks$ManySpec,Sinks$MulticastReplaySpec","" +"axon-messaging-4.7.5","com.fasterxml.jackson.databind",15,73,729,"ObjectMapper,DeserializationFeature,ObjectMapper$DefaultTyping,JsonNode,ObjectWriter,ObjectReader,DeserializationContext,JsonDeserializer","" "axon-messaging-4.7.5","org.reactivestreams",13,41,729,"Publisher","" -"axon-messaging-4.7.5","com.thoughtworks.xstream.io",9,46,729,"HierarchicalStreamDriver,HierarchicalStreamReader,HierarchicalStreamWriter","" -"axon-messaging-4.7.5","javax.cache.event",8,34,729,"CacheEntryListener,CacheEntryListenerException,CacheEntryCreatedListener,CacheEntryRemovedListener,CacheEntryUpdatedListener,CacheEntryEvent,CacheEntryExpiredListener,CacheEntryEventFilter","" +"axon-messaging-4.7.5","com.thoughtworks.xstream.io",9,46,729,"HierarchicalStreamWriter,HierarchicalStreamDriver,HierarchicalStreamReader","" +"axon-messaging-4.7.5","javax.cache.event",8,34,729,"CacheEntryListener,CacheEntryRemovedListener,CacheEntryUpdatedListener,CacheEntryCreatedListener,CacheEntryEventFilter,CacheEntryExpiredListener,CacheEntryEvent,CacheEntryListenerException","" "axon-messaging-4.7.5","com.thoughtworks.xstream.converters",6,12,729,"UnmarshallingContext,MarshallingContext","" -"axon-messaging-4.7.5","net.sf.ehcache",5,63,729,"Element,Ehcache,CacheException","" -"axon-messaging-4.7.5","jakarta.validation",5,22,729,"ConstraintViolation,Validator,Validation,ValidatorFactory","" "axon-messaging-4.7.5","com.thoughtworks.xstream.mapper",5,10,729,"Mapper,CannotResolveClassException","" +"axon-messaging-4.7.5","jakarta.validation",5,22,729,"ValidatorFactory,Validation,ConstraintViolation,Validator","" "axon-messaging-4.7.5","javax.validation",5,22,729,"ConstraintViolation,Validation,Validator,ValidatorFactory","" +"axon-messaging-4.7.5","net.sf.ehcache",5,63,729,"Element,Ehcache,CacheException","" "axon-messaging-4.7.5","nu.xom",5,16,729,"Document,Builder,ParsingException","" -"axon-messaging-4.7.5","com.fasterxml.jackson.core",4,11,729,"JacksonException,JsonParser,JsonProcessingException","" -"axon-messaging-4.7.5","com.thoughtworks.xstream.io.xml",4,13,729,"XppDriver,CompactWriter,XomReader,Dom4JReader","" -"axon-messaging-4.7.5","org.jobrunr.scheduling",4,19,729,"JobScheduler","" +"axon-messaging-4.7.5","com.fasterxml.jackson.core",4,11,729,"JsonProcessingException,JsonParser,JacksonException","" "axon-messaging-4.7.5","com.thoughtworks.xstream",4,47,729,"XStream","" -"axon-messaging-4.7.5","org.dom4j",3,12,729,"Document","" +"axon-messaging-4.7.5","com.thoughtworks.xstream.io.xml",4,13,729,"Dom4JReader,XomReader,CompactWriter,XppDriver","" +"axon-messaging-4.7.5","org.jobrunr.scheduling",4,19,729,"JobScheduler","" +"axon-messaging-4.7.5","com.fasterxml.jackson.databind.node",3,14,729,"JsonNodeType,ObjectNode","" "axon-messaging-4.7.5","com.fasterxml.jackson.databind.type",3,3,729,"TypeFactory","" -"axon-messaging-4.7.5","net.sf.ehcache.event",3,9,729,"CacheEventListener,RegisteredEventListeners","" "axon-messaging-4.7.5","com.thoughtworks.xstream.converters.collections",3,7,729,"MapConverter,CollectionConverter","" "axon-messaging-4.7.5","javax.cache.configuration",3,11,729,"CacheEntryListenerConfiguration,Factory","" -"axon-messaging-4.7.5","com.fasterxml.jackson.databind.node",3,14,729,"JsonNodeType,ObjectNode","" +"axon-messaging-4.7.5","net.sf.ehcache.event",3,9,729,"RegisteredEventListeners,CacheEventListener","" +"axon-messaging-4.7.5","org.dom4j",3,12,729,"Document","" "axon-messaging-4.7.5","reactor.util.concurrent",2,3,729,"Queues","" -"axon-messaging-4.7.5","reactor.util.context",2,7,729,"Context,ContextView","" -"axon-messaging-4.7.5","org.dom4j.io",1,3,729,"STAXEventReader","" -"axon-messaging-4.7.5","javax.xml.stream",1,2,729,"XMLStreamException","" +"axon-messaging-4.7.5","reactor.util.context",2,7,729,"ContextView,Context","" "axon-messaging-4.7.5","com.fasterxml.jackson.databind.jsontype",1,3,729,"TypeDeserializer","" -"axon-messaging-4.7.5","com.fasterxml.jackson.datatype.jsr310",1,2,729,"JavaTimeModule","" "axon-messaging-4.7.5","com.fasterxml.jackson.databind.module",1,3,729,"SimpleModule","" -"axon-messaging-4.7.5","reactor.core",1,2,729,"Disposable","" +"axon-messaging-4.7.5","com.fasterxml.jackson.datatype.jsr310",1,2,729,"JavaTimeModule","" "axon-messaging-4.7.5","javax.cache",1,14,729,"Cache","" "axon-messaging-4.7.5","javax.sql",1,4,729,"DataSource","" +"axon-messaging-4.7.5","javax.xml.stream",1,2,729,"XMLStreamException","" +"axon-messaging-4.7.5","org.dom4j.io",1,3,729,"STAXEventReader","" "axon-messaging-4.7.5","org.quartz.impl.matchers",1,2,729,"GroupMatcher","" +"axon-messaging-4.7.5","reactor.core",1,2,729,"Disposable","" "axon-modelling-4.7.5","javax.annotation",37,132,149,"Nonnull,Nullable","" -"axon-modelling-4.7.5","javax.persistence",23,96,149,"EntityManager,LockModeType,Column,Lob,Entity,Basic,Id,TypedQuery,Query,EntityManagerFactory,EntityNotFoundException,Index,GeneratedValue,Table,MappedSuperclass","" -"axon-modelling-4.7.5","jakarta.persistence",18,90,149,"Column,Lob,Id,Basic,Entity,LockModeType,EntityManager,Index,GeneratedValue,Table,TypedQuery,EntityNotFoundException,Query,EntityManagerFactory","" -"axon-modelling-4.7.5","org.slf4j",17,54,149,"Logger,LoggerFactory","" 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"axon-messaging-4.7.5","org.axonframework.eventhandling.deadletter.jpa","javax.persistence",1,3,9,"Index","jpa","" "axon-messaging-4.7.5","org.axonframework.queryhandling","reactor.core",1,2,40,"Disposable","queryhandling","" -"axon-messaging-4.7.5","org.axonframework.serialization.json","com.fasterxml.jackson.datatype.jsr310",1,2,7,"JavaTimeModule","json","" -"axon-messaging-4.7.5","org.axonframework.serialization.json","com.fasterxml.jackson.databind.module",1,3,7,"SimpleModule","json","" "axon-messaging-4.7.5","org.axonframework.serialization.json","com.fasterxml.jackson.databind.jsontype",1,3,7,"TypeDeserializer","json","" +"axon-messaging-4.7.5","org.axonframework.serialization.json","com.fasterxml.jackson.databind.module",1,3,7,"SimpleModule","json","" +"axon-messaging-4.7.5","org.axonframework.serialization.json","com.fasterxml.jackson.datatype.jsr310",1,2,7,"JavaTimeModule","json","" "axon-messaging-4.7.5","org.axonframework.serialization.xml","org.dom4j.io",1,3,7,"STAXEventReader","xml","" "axon-messaging-4.7.5","org.axonframework.serialization.xml","javax.xml.stream",1,2,7,"XMLStreamException","xml","" "axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.jdbc","javax.sql",1,2,9,"DataSource","jdbc","" "axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.jpa","javax.persistence",1,2,7,"Index","jpa","" -"axon-test-4.7.5","org.axonframework.test.aggregate","org.junit.rules",1,1,19,"TestRule","aggregate","" "axon-test-4.7.5","org.axonframework.test.aggregate","org.junit.runner",1,2,19,"Description","aggregate","" +"axon-test-4.7.5","org.axonframework.test.aggregate","org.junit.rules",1,1,19,"TestRule","aggregate","" "axon-test-4.7.5","org.axonframework.test.saga","org.junit.jupiter.api",1,1,21,"Assertions","saga","" diff --git a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type.csv b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type.csv index a942254c5..7ce759fac 100644 --- a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type.csv +++ b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type.csv @@ -1,469 +1,469 @@ -"artifactName","fullPackageName","typeName","numberOfExternalTypeCaller","numberOfExternalTypeCalls","numberOfExternalPackages","numberOfExternalTypes","externalPackageNames","externalTypeNames","packageName","fullTypeName","Source Cypher File: External_package_usage_per_type.cypher" 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227162c6f..f746d4694 100644 --- a/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type_distribution.csv +++ b/results/AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type_distribution.csv @@ -1,18 +1,10 @@ -"artifactName","artifactTypes","numberOfExternalPackages","numberOfTypes","numberOfTypesPercentage","nameOfTypes","Source Cypher File: External_package_usage_per_type_distribution.cypher" -"axon-configuration-4.7.5",39,1,5,12.820512820512821,"org.axonframework.config.LifecycleHandlerInspector,org.axonframework.config.DefaultConfigurer$ConfigurationImpl,org.axonframework.config.Component,org.axonframework.config.DefaultConfigurer,org.axonframework.config.MessageHandlerRegistrar","" -"axon-disruptor-4.7.5",22,1,2,9.090909090909092,"org.axonframework.disruptor.commandhandling.DisruptorCommandBus$FailureLoggingCommandCallback,org.axonframework.disruptor.commandhandling.CommandHandlerInvoker$DisruptorRepository","" 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+"axon-modelling-4.7.5",149,1,35,23.48993288590604,"org.axonframework.modelling.command.inspection.ChildForwardingCommandMessageHandlingMember,org.axonframework.modelling.command.CommandTargetResolver,org.axonframework.modelling.command.ForwardNone,org.axonframework.modelling.command.inspection.AnnotatedAggregate$LazyIdentifierDomainEventMessage,org.axonframework.modelling.saga.SagaScopeDescriptor,org.axonframework.modelling.saga.SagaMethodMessageHandlerDefinition,org.axonframework.modelling.command.inspection.MethodCommandHandlerInterceptorDefinition$MethodCommandHandlerInterceptorHandlingMember,org.axonframework.modelling.command.VersionedAggregateIdentifier,org.axonframework.modelling.saga.EndSagaMessageHandlerDefinition$EndSageMessageHandlingMember,org.axonframework.modelling.saga.repository.jpa.AbstractSagaEntry,org.axonframework.modelling.command.RepositoryProvider,org.axonframework.modelling.command.CreationPolicyAggregateFactory,org.axonframework.modelling.saga.SagaMethodMessageHandlingMember,org.axonframework.modelling.command.legacyjpa.GenericJpaRepository$Builder,org.axonframework.modelling.command.LockingRepository$Builder,org.axonframework.modelling.command.AggregateScopeDescriptor,org.axonframework.modelling.command.ForwardMatchingInstances,org.axonframework.modelling.saga.AbstractSagaManager,org.axonframework.modelling.command.MetaDataCommandTargetResolver,org.axonframework.modelling.command.ForwardToAll,org.axonframework.modelling.command.ForwardingMode,org.axonframework.modelling.command.AbstractRepository,org.axonframework.modelling.command.NoArgumentConstructorCreationPolicyAggregateFactory,org.axonframework.modelling.saga.EndSagaMessageHandlerDefinition,org.axonframework.modelling.command.inspection.MethodCreationPolicyDefinition,org.axonframework.modelling.saga.PayloadAssociationResolver,org.axonframework.modelling.command.AnnotationCommandTargetResolver,org.axonframework.modelling.saga.AnnotatedSagaManager,org.axonframework.modelling.saga.AssociationResolver,org.axonframework.modelling.command.Repository,org.axonframework.modelling.command.inspection.MethodCommandHandlerInterceptorDefinition,org.axonframework.modelling.command.AbstractRepository$Builder,org.axonframework.modelling.command.GenericJpaRepository$Builder,org.axonframework.modelling.saga.MetaDataAssociationResolver,org.axonframework.modelling.command.inspection.AnnotatedCommandHandlerInterceptor","" +"axon-modelling-4.7.5",149,2,2,1.342281879194631,"org.axonframework.modelling.saga.repository.jpa.AssociationValueEntry,org.axonframework.modelling.saga.repository.jpa.SagaEntry","" +"axon-test-4.7.5",85,1,10,11.764705882352942,"org.axonframework.test.deadline.StubDeadlineManager,org.axonframework.test.aggregate.AggregateTestFixture$InMemoryRepository,org.axonframework.test.aggregate.AggregateTestFixture$ExecutionExceptionAwareCallback,org.axonframework.test.saga.RecordingListenerInvocationErrorHandler,org.axonframework.test.aggregate.AggregateTestFixture$DefaultRepositoryProvider,org.axonframework.test.aggregate.AggregateTestFixture$IdentifierValidatingRepository,org.axonframework.test.utils.RecordingCommandBus,org.axonframework.test.aggregate.AggregateTestFixture$CreationalRepository,org.axonframework.test.aggregate.AggregateTestFixture$RecordingEventStore,org.axonframework.test.aggregate.ResultValidatorImpl","" diff --git a/results/AxonFramework-4.7.5/external-dependencies-csv/Maven_POM_dependencies.csv b/results/AxonFramework-4.7.5/external-dependencies-csv/Maven_POM_dependencies.csv index 8eb4b0b3b..d0e34a8de 100644 --- a/results/AxonFramework-4.7.5/external-dependencies-csv/Maven_POM_dependencies.csv +++ b/results/AxonFramework-4.7.5/external-dependencies-csv/Maven_POM_dependencies.csv @@ -1,110 +1,110 @@ -"pom.artifactId","pom.name","scope","dependency.optional","dependentArtifact.group","dependentArtifact.name","Source Cypher File: Maven_POMs_and_their_declared_dependencies.cypher" -"axon-configuration","Axon Framework - Configuration","test",false,"${project.groupId}","axon-messaging","" +"pom.artifactId","pom.name","scope","dependency.optional","dependentArtifact.group","dependentArtifact.name","Source Cypher File: External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher" "axon-configuration","Axon Framework - Configuration","test",false,"org.hsqldb","hsqldb","" -"axon-configuration","Axon Framework - Configuration","default",true,"jakarta.annotation","jakarta.annotation-api","" -"axon-configuration","Axon Framework - Configuration","default",false,"${project.groupId}","axon-disruptor","" -"axon-configuration","Axon Framework - Configuration","test",false,"jakarta.persistence","jakarta.persistence-api","" -"axon-configuration","Axon Framework - Configuration","test",false,"org.hibernate","hibernate-core-jakarta","" -"axon-configuration","Axon Framework - Configuration","default",false,"org.axonframework","axon-modelling","" +"axon-configuration","Axon Framework - Configuration","provided",false,"com.google.code.findbugs","jsr305","" +"axon-configuration","Axon Framework - Configuration","test",true,"io.projectreactor","reactor-core","" "axon-configuration","Axon Framework - Configuration","test",false,"org.quartz-scheduler","quartz","" +"axon-configuration","Axon Framework - Configuration","default",false,"${project.groupId}","axon-disruptor","" "axon-configuration","Axon Framework - Configuration","test",false,"javax.inject","javax.inject","" -"axon-configuration","Axon Framework - Configuration","test",true,"io.projectreactor","reactor-core","" "axon-configuration","Axon Framework - Configuration","default",false,"${project.groupId}","axon-eventsourcing","" +"axon-configuration","Axon Framework - Configuration","test",false,"${project.groupId}","axon-messaging","" +"axon-configuration","Axon Framework - Configuration","default",false,"org.axonframework","axon-modelling","" +"axon-configuration","Axon Framework - Configuration","default",true,"jakarta.annotation","jakarta.annotation-api","" +"axon-configuration","Axon Framework - Configuration","test",false,"jakarta.persistence","jakarta.persistence-api","" +"axon-configuration","Axon Framework - Configuration","test",false,"org.hibernate","hibernate-core-jakarta","" "axon-configuration","Axon Framework - Configuration","default",false,"org.axonframework","axon-messaging","" -"axon-configuration","Axon Framework - Configuration","provided",false,"com.google.code.findbugs","jsr305","" "axon-disruptor","Axon Framework - Disruptor","default",false,"${project.groupId}","axon-eventsourcing","" "axon-disruptor","Axon Framework - Disruptor","provided",false,"com.google.code.findbugs","jsr305","" "axon-disruptor","Axon Framework - Disruptor","default",false,"com.lmax","disruptor","" -"axon-eventsourcing","Axon Framework - Event Sourcing","default",false,"${project.groupId}","axon-modelling","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.testcontainers","junit-jupiter","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"javax.el","javax.el-api","" "axon-eventsourcing","Axon Framework - Event Sourcing","default",false,"org.axonframework","axon-messaging","" "axon-eventsourcing","Axon Framework - Event Sourcing","provided",false,"com.google.code.findbugs","jsr305","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-test","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-tx","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"javax.el","javax.el-api","" "axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.hibernate","hibernate-core","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"com.fasterxml.jackson.datatype","jackson-datatype-jsr310","" "axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"jakarta.persistence","jakarta.persistence-api","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.hsqldb","hsqldb","" "axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"javax.annotation","javax.annotation-api","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"net.sf.ehcache","ehcache","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-test","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"com.fasterxml.jackson.datatype","jackson-datatype-jsr310","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"com.fasterxml.jackson.core","jackson-databind","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-orm","" -"axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"javax.validation","validation-api","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.testcontainers","mysql","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.axonframework","axon-messaging","" -"axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"javax.persistence","javax.persistence-api","" "axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.hibernate","hibernate-validator","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"mysql","mysql-connector-java","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.hsqldb","hsqldb","" +"axon-eventsourcing","Axon Framework - Event Sourcing","default",false,"${project.groupId}","axon-modelling","" "axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework.security","spring-security-config","" -"axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"jakarta.annotation","jakarta.annotation-api","" "axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-context-support","" -"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-tx","" +"axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"javax.validation","validation-api","" +"axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"jakarta.annotation","jakarta.annotation-api","" +"axon-eventsourcing","Axon Framework - Event Sourcing","default",true,"javax.persistence","javax.persistence-api","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"mysql","mysql-connector-java","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"com.fasterxml.jackson.core","jackson-databind","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"net.sf.ehcache","ehcache","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.testcontainers","mysql","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.axonframework","axon-messaging","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.springframework","spring-orm","" +"axon-eventsourcing","Axon Framework - Event Sourcing","test",false,"org.testcontainers","junit-jupiter","" +"axon-messaging","Axon Framework - Messaging","test",false,"javax.inject","javax.inject","" "axon-messaging","Axon Framework - Messaging","test",false,"org.springframework","spring-test","" -"axon-messaging","Axon Framework - Messaging","default",true,"javax.persistence","javax.persistence-api","" +"axon-messaging","Axon Framework - Messaging","default",true,"jakarta.persistence","jakarta.persistence-api","" "axon-messaging","Axon Framework - Messaging","test",false,"org.hibernate","hibernate-validator","" +"axon-messaging","Axon Framework - Messaging","default",true,"javax.validation","validation-api","" +"axon-messaging","Axon Framework - Messaging","default",false,"org.reactivestreams","reactive-streams","" "axon-messaging","Axon Framework - Messaging","default",true,"javax.cache","cache-api","" "axon-messaging","Axon Framework - Messaging","default",true,"org.hibernate","hibernate-core","" -"axon-messaging","Axon Framework - Messaging","default",true,"io.projectreactor","reactor-core","" -"axon-messaging","Axon Framework - Messaging","default",true,"jakarta.validation","jakarta.validation-api","" +"axon-messaging","Axon Framework - Messaging","provided",false,"com.google.code.findbugs","jsr305","" +"axon-messaging","Axon Framework - Messaging","test",false,"org.springframework","spring-orm","" "axon-messaging","Axon Framework - Messaging","test",false,"org.awaitility","awaitility","" -"axon-messaging","Axon Framework - Messaging","default",false,"org.reactivestreams","reactive-streams","" -"axon-messaging","Axon Framework - Messaging","test",false,"io.projectreactor","reactor-test","" -"axon-messaging","Axon Framework - Messaging","default",true,"org.jobrunr","jobrunr","" "axon-messaging","Axon Framework - Messaging","default",true,"com.fasterxml.jackson.core","jackson-databind","" "axon-messaging","Axon Framework - Messaging","default",true,"xom","xom","" -"axon-messaging","Axon Framework - Messaging","default",true,"net.sf.ehcache","ehcache","" -"axon-messaging","Axon Framework - Messaging","default",false,"org.slf4j","slf4j-api","" "axon-messaging","Axon Framework - Messaging","default",false,"com.thoughtworks.xstream","xstream","" -"axon-messaging","Axon Framework - Messaging","test",false,"org.springframework.security","spring-security-config","" -"axon-messaging","Axon Framework - Messaging","test",false,"org.springframework","spring-tx","" -"axon-messaging","Axon Framework - Messaging","default",true,"com.fasterxml.jackson.datatype","jackson-datatype-jsr310","" +"axon-messaging","Axon Framework - Messaging","default",true,"javax.persistence","javax.persistence-api","" +"axon-messaging","Axon Framework - Messaging","test",false,"commons-io","commons-io","" +"axon-messaging","Axon Framework - Messaging","default",false,"org.slf4j","slf4j-api","" "axon-messaging","Axon Framework - Messaging","default",true,"org.quartz-scheduler","quartz","" "axon-messaging","Axon Framework - Messaging","test",false,"javax.el","javax.el-api","" -"axon-messaging","Axon Framework - Messaging","provided",false,"com.google.code.findbugs","jsr305","" +"axon-messaging","Axon Framework - Messaging","default",true,"jakarta.validation","jakarta.validation-api","" +"axon-messaging","Axon Framework - Messaging","test",false,"org.springframework.security","spring-security-config","" +"axon-messaging","Axon Framework - Messaging","default",true,"org.dom4j","dom4j","" +"axon-messaging","Axon Framework - Messaging","test",false,"com.fasterxml.jackson.module","jackson-module-parameter-names","" +"axon-messaging","Axon Framework - Messaging","test",false,"io.projectreactor","reactor-test","" "axon-messaging","Axon Framework - Messaging","test",false,"org.springframework","spring-context-support","" -"axon-messaging","Axon Framework - Messaging","test",false,"commons-io","commons-io","" -"axon-messaging","Axon Framework - Messaging","test",false,"javax.inject","javax.inject","" -"axon-messaging","Axon Framework - Messaging","test",false,"org.hsqldb","hsqldb","" +"axon-messaging","Axon Framework - Messaging","test",false,"org.springframework","spring-tx","" "axon-messaging","Axon Framework - Messaging","test",false,"org.hamcrest","hamcrest","" -"axon-messaging","Axon Framework - Messaging","default",true,"javax.validation","validation-api","" -"axon-messaging","Axon Framework - Messaging","test",false,"org.springframework","spring-orm","" +"axon-messaging","Axon Framework - Messaging","default",true,"com.fasterxml.jackson.datatype","jackson-datatype-jsr310","" +"axon-messaging","Axon Framework - Messaging","default",true,"org.jobrunr","jobrunr","" "axon-messaging","Axon Framework - Messaging","test",false,"org.glassfish.web","el-impl","" -"axon-messaging","Axon Framework - Messaging","default",true,"jakarta.persistence","jakarta.persistence-api","" -"axon-messaging","Axon Framework - Messaging","test",false,"com.fasterxml.jackson.module","jackson-module-parameter-names","" -"axon-messaging","Axon Framework - Messaging","default",true,"org.dom4j","dom4j","" -"axon-modelling","Axon Framework - Modelling","test",false,"c3p0","c3p0","" +"axon-messaging","Axon Framework - Messaging","test",false,"org.hsqldb","hsqldb","" +"axon-messaging","Axon Framework - Messaging","default",true,"net.sf.ehcache","ehcache","" +"axon-messaging","Axon Framework - Messaging","default",true,"io.projectreactor","reactor-core","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-context-support","" "axon-modelling","Axon Framework - Modelling","test",false,"org.hibernate","hibernate-validator","" -"axon-modelling","Axon Framework - Modelling","default",true,"net.sf.ehcache","ehcache","" +"axon-modelling","Axon Framework - Modelling","default",true,"jakarta.persistence","jakarta.persistence-api","" "axon-modelling","Axon Framework - Modelling","default",true,"com.fasterxml.jackson.core","jackson-databind","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-test","" -"axon-modelling","Axon Framework - Modelling","default",false,"org.slf4j","slf4j-api","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.hsqldb","hsqldb","" +"axon-modelling","Axon Framework - Modelling","default",true,"javax.validation","validation-api","" "axon-modelling","Axon Framework - Modelling","test",true,"javax.inject","javax.inject","" "axon-modelling","Axon Framework - Modelling","default",false,"${project.groupId}","axon-messaging","" -"axon-modelling","Axon Framework - Modelling","test",true,"com.fasterxml.jackson.datatype","jackson-datatype-jsr310","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-orm","" -"axon-modelling","Axon Framework - Modelling","provided",false,"com.google.code.findbugs","jsr305","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.glassfish.web","el-impl","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-test","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.hibernate","hibernate-core","" +"axon-modelling","Axon Framework - Modelling","test",false,"c3p0","c3p0","" +"axon-modelling","Axon Framework - Modelling","default",true,"javax.cache","cache-api","" "axon-modelling","Axon Framework - Modelling","test",false,"org.postgresql","postgresql","" +"axon-modelling","Axon Framework - Modelling","test",false,"mysql","mysql-connector-java","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.hsqldb","hsqldb","" "axon-modelling","Axon Framework - Modelling","default",true,"org.quartz-scheduler","quartz","" -"axon-modelling","Axon Framework - Modelling","default",true,"javax.cache","cache-api","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-context-support","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-tx","" -"axon-modelling","Axon Framework - Modelling","test",false,"org.hibernate","hibernate-core","" +"axon-modelling","Axon Framework - Modelling","default",true,"net.sf.ehcache","ehcache","" +"axon-modelling","Axon Framework - Modelling","test",false,"javax.el","javax.el-api","" "axon-modelling","Axon Framework - Modelling","test",false,"org.springframework.security","spring-security-config","" +"axon-modelling","Axon Framework - Modelling","default",false,"org.slf4j","slf4j-api","" "axon-modelling","Axon Framework - Modelling","default",true,"javax.persistence","javax.persistence-api","" -"axon-modelling","Axon Framework - Modelling","test",false,"mysql","mysql-connector-java","" -"axon-modelling","Axon Framework - Modelling","test",false,"javax.el","javax.el-api","" -"axon-modelling","Axon Framework - Modelling","default",true,"jakarta.persistence","jakarta.persistence-api","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-tx","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.springframework","spring-orm","" +"axon-modelling","Axon Framework - Modelling","provided",false,"com.google.code.findbugs","jsr305","" +"axon-modelling","Axon Framework - Modelling","test",true,"com.fasterxml.jackson.datatype","jackson-datatype-jsr310","" +"axon-modelling","Axon Framework - Modelling","test",false,"org.glassfish.web","el-impl","" "axon-modelling","Axon Framework - Modelling","test",false,"${project.groupId}","axon-messaging","" -"axon-modelling","Axon Framework - Modelling","default",true,"javax.validation","validation-api","" -"axon-test","Axon Framework - Test Fixtures","provided",false,"com.google.code.findbugs","jsr305","" -"axon-test","Axon Framework - Test Fixtures","default",true,"org.hamcrest","hamcrest-library","" -"axon-test","Axon Framework - Test Fixtures","test",false,"org.springframework","spring-beans","" -"axon-test","Axon Framework - Test Fixtures","default",true,"org.testcontainers","testcontainers","" "axon-test","Axon Framework - Test Fixtures","test",false,"jakarta.persistence","jakarta.persistence-api","" "axon-test","Axon Framework - Test Fixtures","test",false,"javax.inject","javax.inject","" +"axon-test","Axon Framework - Test Fixtures","test",false,"org.springframework","spring-beans","" "axon-test","Axon Framework - Test Fixtures","default",false,"org.junit.jupiter","junit-jupiter","" -"axon-test","Axon Framework - Test Fixtures","default",true,"org.hamcrest","hamcrest","" "axon-test","Axon Framework - Test Fixtures","default",false,"${project.groupId}","axon-eventsourcing","" +"axon-test","Axon Framework - Test Fixtures","default",true,"org.testcontainers","testcontainers","" "axon-test","Axon Framework - Test Fixtures","default",true,"junit","junit","" +"axon-test","Axon Framework - Test Fixtures","default",true,"org.hamcrest","hamcrest","" +"axon-test","Axon Framework - Test Fixtures","default",true,"org.hamcrest","hamcrest-library","" +"axon-test","Axon Framework - Test Fixtures","provided",false,"com.google.code.findbugs","jsr305","" diff --git a/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.ipynb b/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.ipynb index e15ff7300..d9e89d132 100644 --- a/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.ipynb +++ b/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.ipynb @@ -6,7 +6,7 @@ "id": "2f0eabc4", "metadata": {}, "source": [ - "# External Dependencies of Java Artifacts with Neo4j\n", + "# External Dependencies\n", "
\n", "\n", "### References\n", @@ -20,10 +20,10 @@ "id": "4191f259", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:14.144106Z", - "iopub.status.busy": "2023-06-28T21:12:14.143730Z", - "iopub.status.idle": "2023-06-28T21:12:15.332930Z", - "shell.execute_reply": "2023-06-28T21:12:15.332175Z" + "iopub.execute_input": "2023-08-02T12:47:12.509065Z", + "iopub.status.busy": "2023-08-02T12:47:12.508771Z", + "iopub.status.idle": "2023-08-02T12:47:16.243569Z", + "shell.execute_reply": "2023-08-02T12:47:16.243288Z" } }, "outputs": [], @@ -40,10 +40,10 @@ "id": "1c5dab37", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.336972Z", - "iopub.status.busy": "2023-06-28T21:12:15.336562Z", - "iopub.status.idle": "2023-06-28T21:12:15.470517Z", - "shell.execute_reply": "2023-06-28T21:12:15.469754Z" + "iopub.execute_input": "2023-08-02T12:47:16.245259Z", + "iopub.status.busy": "2023-08-02T12:47:16.245095Z", + "iopub.status.idle": "2023-08-02T12:47:16.332115Z", + "shell.execute_reply": "2023-08-02T12:47:16.331773Z" } }, "outputs": [], @@ -60,10 +60,10 @@ "id": "c1db254b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.474219Z", - "iopub.status.busy": "2023-06-28T21:12:15.473954Z", - "iopub.status.idle": "2023-06-28T21:12:15.478819Z", - "shell.execute_reply": "2023-06-28T21:12:15.478163Z" + "iopub.execute_input": "2023-08-02T12:47:16.333615Z", + "iopub.status.busy": "2023-08-02T12:47:16.333536Z", + "iopub.status.idle": "2023-08-02T12:47:16.335479Z", + "shell.execute_reply": "2023-08-02T12:47:16.335249Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "59310f6f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.481892Z", - "iopub.status.busy": "2023-06-28T21:12:15.481663Z", - "iopub.status.idle": "2023-06-28T21:12:15.486140Z", - "shell.execute_reply": "2023-06-28T21:12:15.485502Z" + "iopub.execute_input": "2023-08-02T12:47:16.336700Z", + "iopub.status.busy": "2023-08-02T12:47:16.336622Z", + "iopub.status.idle": "2023-08-02T12:47:16.338234Z", + "shell.execute_reply": "2023-08-02T12:47:16.338020Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "da9e8edb", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.489152Z", - "iopub.status.busy": "2023-06-28T21:12:15.488924Z", - "iopub.status.idle": "2023-06-28T21:12:15.493280Z", - "shell.execute_reply": "2023-06-28T21:12:15.492636Z" + "iopub.execute_input": "2023-08-02T12:47:16.339405Z", + "iopub.status.busy": "2023-08-02T12:47:16.339332Z", + "iopub.status.idle": "2023-08-02T12:47:16.340731Z", + "shell.execute_reply": "2023-08-02T12:47:16.340498Z" } }, "outputs": [], @@ -115,10 +115,10 @@ "id": "9deaabce", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.496152Z", - "iopub.status.busy": "2023-06-28T21:12:15.495931Z", - "iopub.status.idle": "2023-06-28T21:12:15.508169Z", - "shell.execute_reply": "2023-06-28T21:12:15.507569Z" + "iopub.execute_input": "2023-08-02T12:47:16.342001Z", + "iopub.status.busy": "2023-08-02T12:47:16.341927Z", + "iopub.status.idle": "2023-08-02T12:47:16.345008Z", + "shell.execute_reply": "2023-08-02T12:47:16.344764Z" }, "tags": [ "table-css" @@ -165,10 +165,10 @@ "id": "c2496caf", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.512007Z", - "iopub.status.busy": "2023-06-28T21:12:15.511575Z", - "iopub.status.idle": "2023-06-28T21:12:15.515658Z", - "shell.execute_reply": "2023-06-28T21:12:15.515170Z" + "iopub.execute_input": "2023-08-02T12:47:16.346266Z", + "iopub.status.busy": "2023-08-02T12:47:16.346196Z", + "iopub.status.idle": "2023-08-02T12:47:16.347654Z", + "shell.execute_reply": "2023-08-02T12:47:16.347421Z" } }, "outputs": [], @@ -187,7 +187,7 @@ "\n", "### External Package\n", "\n", - "A package is categorized as \"external\" if it is utilized as a dependency, or if any of its enclosed types are used as dependencies, but the code within it has not been analyzed (missing bytecode). This also applies to all build-in Java types, but they are explicitly filtered out here.\n", + "An external type has no `byteCodeVersion` since it only occurs as a dependency but wasn't analyzed itself (missing bytecode). Core Java types like `java.lang.Integer` and primitives like `int` are considered \"build-in\" and therefore aren't interpreted as \"external\" even though their byte code is also missing. A package is categorized as \"external\" if the types it contains are classified as external.\n", "\n", "### External annotation dependency\n", "\n", @@ -219,10 +219,10 @@ "id": "ff524ac7", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.519508Z", - "iopub.status.busy": "2023-06-28T21:12:15.518922Z", - "iopub.status.idle": "2023-06-28T21:12:15.714377Z", - "shell.execute_reply": "2023-06-28T21:12:15.713839Z" + "iopub.execute_input": "2023-08-02T12:47:16.348947Z", + "iopub.status.busy": "2023-08-02T12:47:16.348867Z", + "iopub.status.idle": "2023-08-02T12:47:16.391867Z", + "shell.execute_reply": "2023-08-02T12:47:16.391595Z" } }, "outputs": [ @@ -277,7 +277,7 @@ " 78\n", " 339\n", " 2506\n", - " [MappedSuperclass, IdClass, Id, Entity, Index,...\n", + " [TypedQuery, EntityManager, MappedSuperclass, ...\n", " \n", " \n", " 3\n", @@ -285,7 +285,7 @@ " 69\n", " 327\n", " 2506\n", - " [IdClass, Id, MappedSuperclass, Index, Table, ...\n", + " [TypedQuery, EntityManager, Basic, MappedSuper...\n", " \n", " \n", " 4\n", @@ -293,7 +293,7 @@ " 61\n", " 498\n", " 2506\n", - " [Description, StringDescription, CoreMatchers,...\n", + " [StringDescription, Description, CoreMatchers,...\n", " \n", " \n", " 5\n", @@ -301,7 +301,7 @@ " 54\n", " 84\n", " 2506\n", - " [JsonProperty, JsonCreator, JsonGetter, JsonTy...\n", + " [JsonGetter, JsonProperty, JsonTypeInfo$Id, Js...\n", " \n", " \n", " 6\n", @@ -309,7 +309,7 @@ " 37\n", " 226\n", " 2506\n", - " [JobDataMap, Job, JobExecutionContext, JobDeta...\n", + " [JobDataMap, JobExecutionContext, SchedulerCon...\n", " \n", " \n", " 7\n", @@ -317,7 +317,7 @@ " 33\n", " 149\n", " 2506\n", - " [Mono, Flux, FluxSink$OverflowStrategy, FluxSi...\n", + " [Flux, Mono, FluxSink$OverflowStrategy, FluxSi...\n", " \n", " \n", " 8\n", @@ -325,7 +325,7 @@ " 15\n", " 73\n", " 2506\n", - " [JsonDeserializer, DeserializationContext, Jso...\n", + " [JsonNode, ObjectMapper, DeserializationFeatur...\n", " \n", " \n", " 9\n", @@ -337,19 +337,19 @@ " \n", " \n", " 10\n", - " com.thoughtworks.xstream.io\n", + " com.lmax.disruptor\n", " 9\n", - " 46\n", + " 29\n", " 2506\n", - " [HierarchicalStreamWriter, HierarchicalStreamR...\n", + " [RingBuffer, EventHandler, LifecycleAware, Wai...\n", " \n", " \n", " 11\n", - " com.lmax.disruptor\n", + " com.thoughtworks.xstream.io\n", " 9\n", - " 29\n", + " 46\n", " 2506\n", - " [RingBuffer, EventHandler, LifecycleAware, Blo...\n", + " [HierarchicalStreamReader, HierarchicalStreamW...\n", " \n", " \n", " 12\n", @@ -357,63 +357,63 @@ " 8\n", " 34\n", " 2506\n", - " [CacheEntryListener, CacheEntryListenerExcepti...\n", + " [CacheEntryListener, CacheEntryRemovedListener...\n", " \n", " \n", " 13\n", - " javax.sql\n", + " com.thoughtworks.xstream.converters\n", " 6\n", - " 24\n", + " 12\n", " 2506\n", - " [DataSource]\n", + " [UnmarshallingContext, MarshallingContext]\n", " \n", " \n", " 14\n", - " com.thoughtworks.xstream.converters\n", + " javax.sql\n", " 6\n", - " 12\n", + " 24\n", " 2506\n", - " [MarshallingContext, UnmarshallingContext]\n", + " [DataSource]\n", " \n", " \n", " 15\n", - " javax.validation\n", + " com.lmax.disruptor.dsl\n", " 5\n", " 22\n", " 2506\n", - " [ConstraintViolation, Validation, Validator, V...\n", + " [Disruptor, EventHandlerGroup, ProducerType]\n", " \n", " \n", " 16\n", - " nu.xom\n", + " com.thoughtworks.xstream.mapper\n", " 5\n", - " 16\n", + " 10\n", " 2506\n", - " [Document, Builder, ParsingException]\n", + " [Mapper, CannotResolveClassException]\n", " \n", " \n", " 17\n", - " net.sf.ehcache\n", + " jakarta.validation\n", " 5\n", - " 63\n", + " 22\n", " 2506\n", - " [Ehcache, Element, CacheException]\n", + " [ValidatorFactory, Validation, ConstraintViola...\n", " \n", " \n", " 18\n", - " com.lmax.disruptor.dsl\n", + " javax.validation\n", " 5\n", " 22\n", " 2506\n", - " [EventHandlerGroup, Disruptor, ProducerType]\n", + " [Validation, Validator, ConstraintViolation, V...\n", " \n", " \n", " 19\n", - " com.thoughtworks.xstream.mapper\n", + " net.sf.ehcache\n", " 5\n", - " 10\n", + " 63\n", " 2506\n", - " [Mapper, CannotResolveClassException]\n", + " [Element, Ehcache, CacheException]\n", " \n", " \n", "\n", @@ -431,16 +431,16 @@ "7 reactor.core.publisher 33 \n", "8 com.fasterxml.jackson.databind 15 \n", "9 org.reactivestreams 13 \n", - "10 com.thoughtworks.xstream.io 9 \n", - "11 com.lmax.disruptor 9 \n", + "10 com.lmax.disruptor 9 \n", + "11 com.thoughtworks.xstream.io 9 \n", "12 javax.cache.event 8 \n", - "13 javax.sql 6 \n", - "14 com.thoughtworks.xstream.converters 6 \n", - "15 javax.validation 5 \n", - "16 nu.xom 5 \n", - "17 net.sf.ehcache 5 \n", - "18 com.lmax.disruptor.dsl 5 \n", - "19 com.thoughtworks.xstream.mapper 5 \n", + "13 com.thoughtworks.xstream.converters 6 \n", + "14 javax.sql 6 \n", + "15 com.lmax.disruptor.dsl 5 \n", + "16 com.thoughtworks.xstream.mapper 5 \n", + "17 jakarta.validation 5 \n", + "18 javax.validation 5 \n", + "19 net.sf.ehcache 5 \n", "\n", " numberOfExternalTypeCalls allTypes \\\n", "0 1419 2506 \n", @@ -453,38 +453,38 @@ "7 149 2506 \n", "8 73 2506 \n", "9 41 2506 \n", - "10 46 2506 \n", - "11 29 2506 \n", + "10 29 2506 \n", + "11 46 2506 \n", "12 34 2506 \n", - "13 24 2506 \n", - "14 12 2506 \n", + "13 12 2506 \n", + "14 24 2506 \n", "15 22 2506 \n", - "16 16 2506 \n", - "17 63 2506 \n", + "16 10 2506 \n", + "17 22 2506 \n", "18 22 2506 \n", - "19 10 2506 \n", + "19 63 2506 \n", "\n", " externalTypeNames \n", "0 [Nonnull, Nullable, PreDestroy] \n", "1 [LoggerFactory, Logger] \n", - "2 [MappedSuperclass, IdClass, Id, Entity, Index,... \n", - "3 [IdClass, Id, MappedSuperclass, Index, Table, ... \n", - "4 [Description, StringDescription, CoreMatchers,... \n", - "5 [JsonProperty, JsonCreator, JsonGetter, JsonTy... \n", - "6 [JobDataMap, Job, JobExecutionContext, JobDeta... \n", - "7 [Mono, Flux, FluxSink$OverflowStrategy, FluxSi... \n", - "8 [JsonDeserializer, DeserializationContext, Jso... \n", + "2 [TypedQuery, EntityManager, MappedSuperclass, ... \n", + "3 [TypedQuery, EntityManager, Basic, MappedSuper... \n", + "4 [StringDescription, Description, CoreMatchers,... \n", + "5 [JsonGetter, JsonProperty, JsonTypeInfo$Id, Js... \n", + "6 [JobDataMap, JobExecutionContext, SchedulerCon... \n", + "7 [Flux, Mono, FluxSink$OverflowStrategy, FluxSi... \n", + "8 [JsonNode, ObjectMapper, DeserializationFeatur... \n", "9 [Publisher] \n", - "10 [HierarchicalStreamWriter, HierarchicalStreamR... \n", - "11 [RingBuffer, EventHandler, LifecycleAware, Blo... \n", - "12 [CacheEntryListener, CacheEntryListenerExcepti... \n", - "13 [DataSource] \n", - "14 [MarshallingContext, UnmarshallingContext] \n", - "15 [ConstraintViolation, Validation, Validator, V... \n", - "16 [Document, Builder, ParsingException] \n", - "17 [Ehcache, Element, CacheException] \n", - "18 [EventHandlerGroup, Disruptor, ProducerType] \n", - "19 [Mapper, CannotResolveClassException] " + "10 [RingBuffer, EventHandler, LifecycleAware, Wai... \n", + "11 [HierarchicalStreamReader, HierarchicalStreamW... \n", + "12 [CacheEntryListener, CacheEntryRemovedListener... \n", + "13 [UnmarshallingContext, MarshallingContext] \n", + "14 [DataSource] \n", + "15 [Disruptor, EventHandlerGroup, ProducerType] \n", + "16 [Mapper, CannotResolveClassException] \n", + "17 [ValidatorFactory, Validation, ConstraintViola... \n", + "18 [Validation, Validator, ConstraintViolation, V... \n", + "19 [Element, Ehcache, CacheException] " ] }, "execution_count": 8, @@ -517,10 +517,10 @@ "id": "99ef3fad", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.718999Z", - "iopub.status.busy": "2023-06-28T21:12:15.717904Z", - "iopub.status.idle": "2023-06-28T21:12:15.727517Z", - "shell.execute_reply": "2023-06-28T21:12:15.727004Z" + "iopub.execute_input": "2023-08-02T12:47:16.393403Z", + "iopub.status.busy": "2023-08-02T12:47:16.393288Z", + "iopub.status.idle": "2023-08-02T12:47:16.398998Z", + "shell.execute_reply": "2023-08-02T12:47:16.398719Z" } }, "outputs": [], @@ -546,16 +546,16 @@ "id": "688b6d56", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:15.732150Z", - "iopub.status.busy": "2023-06-28T21:12:15.731088Z", - "iopub.status.idle": "2023-06-28T21:12:16.067126Z", - "shell.execute_reply": "2023-06-28T21:12:16.066496Z" + "iopub.execute_input": "2023-08-02T12:47:16.400452Z", + "iopub.status.busy": "2023-08-02T12:47:16.400351Z", + "iopub.status.idle": "2023-08-02T12:47:16.565019Z", + "shell.execute_reply": "2023-08-02T12:47:16.564782Z" } }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ "
" ] @@ -605,10 +605,10 @@ "id": "03641b8b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:16.071089Z", - "iopub.status.busy": "2023-06-28T21:12:16.070733Z", - "iopub.status.idle": "2023-06-28T21:12:16.082797Z", - "shell.execute_reply": "2023-06-28T21:12:16.082306Z" + "iopub.execute_input": "2023-08-02T12:47:16.566383Z", + "iopub.status.busy": "2023-08-02T12:47:16.566282Z", + "iopub.status.idle": "2023-08-02T12:47:16.570536Z", + "shell.execute_reply": "2023-08-02T12:47:16.570301Z" } }, "outputs": [ @@ -650,42 +650,42 @@ " \n", " \n", " 2\n", - " javax.xml.stream\n", + " reactor.core\n", " 2\n", " \n", " \n", " 3\n", - " org.testcontainers.containers.wait.strategy\n", + " org.junit.runner\n", " 2\n", " \n", " \n", " 4\n", - " com.fasterxml.jackson.datatype.jsr310\n", + " javax.xml.stream\n", " 2\n", " \n", " \n", " 5\n", - " org.quartz.impl.matchers\n", + " com.fasterxml.jackson.datatype.jsr310\n", " 2\n", " \n", " \n", " 6\n", - " reactor.core\n", + " org.testcontainers.containers.wait.strategy\n", " 2\n", " \n", " \n", " 7\n", - " org.junit.runner\n", + " org.quartz.impl.matchers\n", " 2\n", " \n", " \n", " 8\n", - " com.fasterxml.jackson.databind.type\n", + " org.dom4j.io\n", " 3\n", " \n", " \n", " 9\n", - " reactor.util.concurrent\n", + " com.fasterxml.jackson.databind.type\n", " 3\n", " \n", " \n", @@ -695,12 +695,12 @@ " \n", " \n", " 11\n", - " org.dom4j.io\n", + " com.fasterxml.jackson.databind.jsontype\n", " 3\n", " \n", " \n", " 12\n", - " com.fasterxml.jackson.databind.jsontype\n", + " reactor.util.concurrent\n", " 3\n", " \n", " \n", @@ -720,12 +720,12 @@ " \n", " \n", " 16\n", - " org.junit.runners.model\n", + " org.testcontainers.containers\n", " 8\n", " \n", " \n", " 17\n", - " org.testcontainers.containers\n", + " org.junit.runners.model\n", " 8\n", " \n", " \n", @@ -746,22 +746,22 @@ " externalPackageName numberOfExternalTypeCalls\n", "0 org.junit.rules 1\n", "1 org.junit.jupiter.api 1\n", - "2 javax.xml.stream 2\n", - "3 org.testcontainers.containers.wait.strategy 2\n", - "4 com.fasterxml.jackson.datatype.jsr310 2\n", - "5 org.quartz.impl.matchers 2\n", - "6 reactor.core 2\n", - "7 org.junit.runner 2\n", - "8 com.fasterxml.jackson.databind.type 3\n", - "9 reactor.util.concurrent 3\n", + "2 reactor.core 2\n", + "3 org.junit.runner 2\n", + "4 javax.xml.stream 2\n", + "5 com.fasterxml.jackson.datatype.jsr310 2\n", + "6 org.testcontainers.containers.wait.strategy 2\n", + "7 org.quartz.impl.matchers 2\n", + "8 org.dom4j.io 3\n", + "9 com.fasterxml.jackson.databind.type 3\n", "10 com.fasterxml.jackson.databind.module 3\n", - "11 org.dom4j.io 3\n", - "12 com.fasterxml.jackson.databind.jsontype 3\n", + "11 com.fasterxml.jackson.databind.jsontype 3\n", + "12 reactor.util.concurrent 3\n", "13 org.junit.jupiter.api.extension 6\n", "14 reactor.util.context 7\n", "15 com.thoughtworks.xstream.converters.collections 7\n", - "16 org.junit.runners.model 8\n", - "17 org.testcontainers.containers 8\n", + "16 org.testcontainers.containers 8\n", + "17 org.junit.runners.model 8\n", "18 net.sf.ehcache.event 9\n", "19 com.thoughtworks.xstream.mapper 10" ] @@ -807,10 +807,10 @@ "id": "1637f8ee", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:16.087172Z", - "iopub.status.busy": "2023-06-28T21:12:16.086116Z", - "iopub.status.idle": "2023-06-28T21:12:16.231810Z", - "shell.execute_reply": "2023-06-28T21:12:16.231290Z" + "iopub.execute_input": "2023-08-02T12:47:16.571797Z", + "iopub.status.busy": "2023-08-02T12:47:16.571704Z", + "iopub.status.idle": "2023-08-02T12:47:16.598890Z", + "shell.execute_reply": "2023-08-02T12:47:16.598649Z" } }, "outputs": [ @@ -860,7 +860,7 @@ " 9\n", " 28\n", " 39\n", - " [LoggerFactory, Logger]\n", + " [Logger, LoggerFactory]\n", " \n", " \n", " 2\n", @@ -878,7 +878,7 @@ " 9\n", " 29\n", " 22\n", - " [EventHandler, LifecycleAware, RingBuffer, Exc...\n", + " [RingBuffer, ExceptionHandler, WaitStrategy, B...\n", " \n", " \n", " 4\n", @@ -910,11 +910,11 @@ " \n", " 62\n", " axon-test-4.7.5\n", - " org.junit.runners.model\n", + " org.testcontainers.containers.wait.strategy\n", + " 2\n", " 2\n", - " 8\n", " 85\n", - " [Statement]\n", + " [Wait]\n", " \n", " \n", " 63\n", @@ -949,18 +949,18 @@ "" ], "text/plain": [ - " artifactName externalPackageName \\\n", - "0 axon-configuration-4.7.5 javax.annotation \n", - "1 axon-configuration-4.7.5 org.slf4j \n", - "2 axon-disruptor-4.7.5 org.slf4j \n", - "3 axon-disruptor-4.7.5 com.lmax.disruptor \n", - "4 axon-disruptor-4.7.5 javax.annotation \n", - ".. ... ... \n", - "61 axon-test-4.7.5 org.testcontainers.containers \n", - "62 axon-test-4.7.5 org.junit.runners.model \n", - "63 axon-test-4.7.5 org.junit.jupiter.api \n", - "64 axon-test-4.7.5 org.junit.rules \n", - "65 axon-test-4.7.5 org.junit.runner \n", + " artifactName externalPackageName \\\n", + "0 axon-configuration-4.7.5 javax.annotation \n", + "1 axon-configuration-4.7.5 org.slf4j \n", + "2 axon-disruptor-4.7.5 org.slf4j \n", + "3 axon-disruptor-4.7.5 com.lmax.disruptor \n", + "4 axon-disruptor-4.7.5 javax.annotation \n", + ".. ... ... \n", + "61 axon-test-4.7.5 org.testcontainers.containers \n", + "62 axon-test-4.7.5 org.testcontainers.containers.wait.strategy \n", + "63 axon-test-4.7.5 org.junit.jupiter.api \n", + "64 axon-test-4.7.5 org.junit.rules \n", + "65 axon-test-4.7.5 org.junit.runner \n", "\n", " numberOfExternalTypeCaller numberOfExternalTypeCalls \\\n", "0 12 104 \n", @@ -970,20 +970,20 @@ "4 6 23 \n", ".. ... ... \n", "61 2 8 \n", - "62 2 8 \n", + "62 2 2 \n", "63 1 1 \n", "64 1 1 \n", "65 1 2 \n", "\n", " numberOfTypesInArtifact externalTypeNames \n", "0 39 [Nonnull] \n", - "1 39 [LoggerFactory, Logger] \n", + "1 39 [Logger, LoggerFactory] \n", "2 22 [LoggerFactory, Logger] \n", - "3 22 [EventHandler, LifecycleAware, RingBuffer, Exc... \n", + "3 22 [RingBuffer, ExceptionHandler, WaitStrategy, B... \n", "4 22 [Nonnull] \n", ".. ... ... \n", "61 85 [GenericContainer] \n", - "62 85 [Statement] \n", + "62 85 [Wait] \n", "63 85 [Assertions] \n", "64 85 [TestRule] \n", "65 85 [Description] \n", @@ -1027,10 +1027,10 @@ "id": "58a19ad7", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:16.236287Z", - "iopub.status.busy": "2023-06-28T21:12:16.235237Z", - "iopub.status.idle": "2023-06-28T21:12:18.128177Z", - "shell.execute_reply": "2023-06-28T21:12:18.127633Z" + "iopub.execute_input": "2023-08-02T12:47:16.600352Z", + "iopub.status.busy": "2023-08-02T12:47:16.600262Z", + "iopub.status.idle": "2023-08-02T12:47:16.633223Z", + "shell.execute_reply": "2023-08-02T12:47:16.632985Z" } }, "outputs": [ @@ -1085,7 +1085,7 @@ " 26\n", " 115\n", " 40\n", - " [Signal, MonoSink, Flux, Sinks$ManySpec, Emitt...\n", + " [FluxSink$OverflowStrategy, Signal, Flux, Mono...\n", " queryhandling\n", " \n", " \n", @@ -1096,7 +1096,7 @@ " 19\n", " 95\n", " 6\n", - " [Scheduler, Job, SchedulerContext, JobExecutio...\n", + " [JobDataMap, Trigger, SchedulerContext, JobKey...\n", " quartz\n", " \n", " \n", @@ -1107,7 +1107,7 @@ " 18\n", " 131\n", " 4\n", - " [JobDataMap, Trigger, JobDetail, Scheduler, Sc...\n", + " [JobExecutionContext, SchedulerContext, JobDat...\n", " quartz\n", " \n", " \n", @@ -1118,7 +1118,7 @@ " 15\n", " 55\n", " 93\n", - " [Logger, LoggerFactory]\n", + " [LoggerFactory, Logger]\n", " eventhandling\n", " \n", " \n", @@ -1129,7 +1129,7 @@ " 15\n", " 73\n", " 7\n", - " [JsonNode, ObjectMapper, ObjectWriter, ObjectR...\n", + " [JsonNode, DeserializationContext, JsonDeseria...\n", " json\n", " \n", " \n", @@ -1140,7 +1140,7 @@ " 13\n", " 59\n", " 20\n", - " [Logger, LoggerFactory]\n", + " [LoggerFactory, Logger]\n", " pooled\n", " \n", " \n", @@ -1151,7 +1151,7 @@ " 12\n", " 22\n", " 22\n", - " [Logger, LoggerFactory]\n", + " [LoggerFactory, Logger]\n", " commandhandling\n", " \n", " \n", @@ -1162,7 +1162,7 @@ " 9\n", " 28\n", " 39\n", - " [LoggerFactory, Logger]\n", + " [Logger, LoggerFactory]\n", " config\n", " \n", " \n", @@ -1173,7 +1173,7 @@ " 9\n", " 29\n", " 22\n", - " [ExceptionHandler, RingBuffer, EventHandler, L...\n", + " [RingBuffer, EventHandler, WaitStrategy, Block...\n", " commandhandling\n", " \n", " \n", @@ -1206,7 +1206,7 @@ " 8\n", " 34\n", " 12\n", - " [CacheEntryListener, CacheEntryListenerExcepti...\n", + " [CacheEntryListener, CacheEntryRemovedListener...\n", " caching\n", " \n", " \n", @@ -1217,7 +1217,7 @@ " 8\n", " 15\n", " 54\n", - " [LoggerFactory, Logger]\n", + " [Logger, LoggerFactory]\n", " annotation\n", " \n", " \n", @@ -1250,7 +1250,7 @@ " 7\n", " 16\n", " 40\n", - " [LoggerFactory, Logger]\n", + " [Logger, LoggerFactory]\n", " queryhandling\n", " \n", " \n", @@ -1261,7 +1261,7 @@ " 7\n", " 136\n", " 19\n", - " [StringDescription, Description, CoreMatchers,...\n", + " [Matcher, StringDescription, Description, Core...\n", " aggregate\n", " \n", " \n", @@ -1290,22 +1290,22 @@ " 20\n", " axon-messaging-4.7.5\n", " org.axonframework.serialization\n", - " com.thoughtworks.xstream.io\n", + " com.thoughtworks.xstream.converters\n", " 6\n", - " 39\n", + " 12\n", " 34\n", - " [HierarchicalStreamWriter, HierarchicalStreamR...\n", + " [UnmarshallingContext, MarshallingContext]\n", " serialization\n", " \n", " \n", " 21\n", " axon-messaging-4.7.5\n", " org.axonframework.serialization\n", - " com.thoughtworks.xstream.converters\n", + " com.thoughtworks.xstream.io\n", " 6\n", - " 12\n", + " 39\n", " 34\n", - " [MarshallingContext, UnmarshallingContext]\n", + " [HierarchicalStreamWriter, HierarchicalStreamR...\n", " serialization\n", " \n", " \n", @@ -1316,7 +1316,7 @@ " 6\n", " 68\n", " 7\n", - " [TypedQuery, EntityNotFoundException, EntityMa...\n", + " [EntityManagerFactory, TypedQuery, Query, Enti...\n", " jpa\n", " \n", " \n", @@ -1327,7 +1327,7 @@ " 5\n", " 22\n", " 22\n", - " [Disruptor, EventHandlerGroup, ProducerType]\n", + " [ProducerType, Disruptor, EventHandlerGroup]\n", " commandhandling\n", " \n", " \n", @@ -1338,7 +1338,7 @@ " 5\n", " 42\n", " 7\n", - " [EntityManager, Query, TypedQuery, EntityExist...\n", + " [EntityExistsException, Index, EntityManager, ...\n", " jpa\n", " \n", " \n", @@ -1371,7 +1371,7 @@ " 5\n", " 16\n", " 15\n", - " [LoggerFactory, Logger]\n", + " [Logger, LoggerFactory]\n", " async\n", " \n", " \n", @@ -1382,7 +1382,7 @@ " 5\n", " 54\n", " 9\n", - " [Query, NoResultException, TypedQuery, EntityM...\n", + " [Index, EntityManager, TypedQuery, NoResultExc...\n", " jpa\n", " \n", " \n", @@ -1393,7 +1393,7 @@ " 5\n", " 64\n", " 4\n", - " [LockModeType, Query, TypedQuery, EntityManager]\n", + " [LockModeType, TypedQuery, EntityManager, Query]\n", " jpa\n", " \n", " \n", @@ -1486,8 +1486,8 @@ "17 org.hamcrest 7 \n", "18 org.slf4j 6 \n", "19 org.reactivestreams 6 \n", - "20 com.thoughtworks.xstream.io 6 \n", - "21 com.thoughtworks.xstream.converters 6 \n", + "20 com.thoughtworks.xstream.converters 6 \n", + "21 com.thoughtworks.xstream.io 6 \n", "22 jakarta.persistence 6 \n", "23 com.lmax.disruptor.dsl 5 \n", "24 jakarta.persistence 5 \n", @@ -1518,8 +1518,8 @@ "17 136 19 \n", "18 9 31 \n", "19 14 8 \n", - "20 39 34 \n", - "21 12 34 \n", + "20 12 34 \n", + "21 39 34 \n", "22 68 7 \n", "23 22 22 \n", "24 42 7 \n", @@ -1531,35 +1531,35 @@ "\n", " externalTypeNames packageName \n", "0 [Description, Matcher, TypeSafeMatcher, BaseMa... matchers \n", - "1 [Signal, MonoSink, Flux, Sinks$ManySpec, Emitt... queryhandling \n", - "2 [Scheduler, Job, SchedulerContext, JobExecutio... quartz \n", - "3 [JobDataMap, Trigger, JobDetail, Scheduler, Sc... quartz \n", - "4 [Logger, LoggerFactory] eventhandling \n", - "5 [JsonNode, ObjectMapper, ObjectWriter, ObjectR... json \n", - "6 [Logger, LoggerFactory] pooled \n", - "7 [Logger, LoggerFactory] commandhandling \n", - "8 [LoggerFactory, Logger] config \n", - "9 [ExceptionHandler, RingBuffer, EventHandler, L... commandhandling \n", + "1 [FluxSink$OverflowStrategy, Signal, Flux, Mono... queryhandling \n", + "2 [JobDataMap, Trigger, SchedulerContext, JobKey... quartz \n", + "3 [JobExecutionContext, SchedulerContext, JobDat... quartz \n", + "4 [LoggerFactory, Logger] eventhandling \n", + "5 [JsonNode, DeserializationContext, JsonDeseria... json \n", + "6 [LoggerFactory, Logger] pooled \n", + "7 [LoggerFactory, Logger] commandhandling \n", + "8 [Logger, LoggerFactory] config \n", + "9 [RingBuffer, EventHandler, WaitStrategy, Block... commandhandling \n", "10 [Description, StringDescription, Matcher, Core... saga \n", "11 [Logger, LoggerFactory] legacyjpa \n", - "12 [CacheEntryListener, CacheEntryListenerExcepti... caching \n", - "13 [LoggerFactory, Logger] annotation \n", + "12 [CacheEntryListener, CacheEntryRemovedListener... caching \n", + "13 [Logger, LoggerFactory] annotation \n", "14 [Mono, Flux] responsetypes \n", "15 [Publisher] queryhandling \n", - "16 [LoggerFactory, Logger] queryhandling \n", - "17 [StringDescription, Description, CoreMatchers,... aggregate \n", + "16 [Logger, LoggerFactory] queryhandling \n", + "17 [Matcher, StringDescription, Description, Core... aggregate \n", "18 [Logger, LoggerFactory] eventstore \n", "19 [Publisher] responsetypes \n", - "20 [HierarchicalStreamWriter, HierarchicalStreamR... serialization \n", - "21 [MarshallingContext, UnmarshallingContext] serialization \n", - "22 [TypedQuery, EntityNotFoundException, EntityMa... jpa \n", - "23 [Disruptor, EventHandlerGroup, ProducerType] commandhandling \n", - "24 [EntityManager, Query, TypedQuery, EntityExist... jpa \n", + "20 [UnmarshallingContext, MarshallingContext] serialization \n", + "21 [HierarchicalStreamWriter, HierarchicalStreamR... serialization \n", + "22 [EntityManagerFactory, TypedQuery, Query, Enti... jpa \n", + "23 [ProducerType, Disruptor, EventHandlerGroup] commandhandling \n", + "24 [EntityExistsException, Index, EntityManager, ... jpa \n", "25 [Logger, LoggerFactory] common \n", "26 [Element, Ehcache, CacheException] caching \n", - "27 [LoggerFactory, Logger] async \n", - "28 [Query, NoResultException, TypedQuery, EntityM... jpa \n", - "29 [LockModeType, Query, TypedQuery, EntityManager] jpa " + "27 [Logger, LoggerFactory] async \n", + "28 [Index, EntityManager, TypedQuery, NoResultExc... jpa \n", + "29 [LockModeType, TypedQuery, EntityManager, Query] jpa " ] }, "execution_count": 13, @@ -1601,10 +1601,10 @@ "id": "f2224d21", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:18.132719Z", - "iopub.status.busy": "2023-06-28T21:12:18.131631Z", - "iopub.status.idle": "2023-06-28T21:12:18.308950Z", - "shell.execute_reply": "2023-06-28T21:12:18.308229Z" + "iopub.execute_input": "2023-08-02T12:47:16.634741Z", + "iopub.status.busy": "2023-08-02T12:47:16.634663Z", + "iopub.status.idle": "2023-08-02T12:47:16.679760Z", + "shell.execute_reply": "2023-08-02T12:47:16.679502Z" } }, "outputs": [ @@ -1652,8 +1652,8 @@ " 29\n", " 6\n", " 9\n", - " [com.fasterxml.jackson.core, com.fasterxml.jac...\n", - " [com.fasterxml.jackson.core.JsonProcessingExce...\n", + " [javax.annotation, com.fasterxml.jackson.datab...\n", + " [javax.annotation.Nonnull, com.fasterxml.jacks...\n", " json\n", " org.axonframework.serialization.json.JacksonSe...\n", " \n", @@ -1666,8 +1666,8 @@ " 22\n", " 5\n", " 7\n", - " [nu.xom, com.thoughtworks.xstream.io.xml, org....\n", - " [nu.xom.Document, com.thoughtworks.xstream.io....\n", + " [org.slf4j, com.thoughtworks.xstream, org.dom4...\n", + " [org.slf4j.Logger, org.slf4j.LoggerFactory, co...\n", " xml\n", " org.axonframework.serialization.xml.XStreamSer...\n", " \n", @@ -1675,13 +1675,13 @@ " 2\n", " axon-disruptor-4.7.5\n", " org.axonframework.disruptor.commandhandling\n", - " DisruptorCommandBus$DisruptorRepository\n", - " 4\n", - " 14\n", - " 4\n", + " DisruptorCommandBus\n", + " 6\n", + " 34\n", " 4\n", - " [com.lmax.disruptor, org.slf4j, javax.annotati...\n", - " [com.lmax.disruptor.RingBuffer, org.slf4j.Logg...\n", + " 6\n", + " [org.slf4j, com.lmax.disruptor, javax.annotati...\n", + " [org.slf4j.Logger, com.lmax.disruptor.RingBuff...\n", " commandhandling\n", " org.axonframework.disruptor.commandhandling.Di...\n", " \n", @@ -1689,13 +1689,13 @@ " 3\n", " axon-disruptor-4.7.5\n", " org.axonframework.disruptor.commandhandling\n", - " DisruptorCommandBus\n", - " 6\n", - " 34\n", + " DisruptorCommandBus$DisruptorRepository\n", " 4\n", - " 6\n", - " [org.slf4j, com.lmax.disruptor.dsl, javax.anno...\n", - " [org.slf4j.Logger, com.lmax.disruptor.dsl.Even...\n", + " 14\n", + " 4\n", + " 4\n", + " [org.slf4j, com.lmax.disruptor, javax.annotati...\n", + " [org.slf4j.Logger, com.lmax.disruptor.RingBuff...\n", " commandhandling\n", " org.axonframework.disruptor.commandhandling.Di...\n", " \n", @@ -1708,8 +1708,8 @@ " 78\n", " 4\n", " 13\n", - " [org.quartz.impl.matchers, org.slf4j, org.quar...\n", - " [org.quartz.impl.matchers.GroupMatcher, org.sl...\n", + " [javax.annotation, org.slf4j, org.quartz, org....\n", + " [javax.annotation.Nonnull, org.slf4j.Logger, o...\n", " quartz\n", " org.axonframework.deadline.quartz.QuartzDeadli...\n", " \n", @@ -1722,8 +1722,8 @@ " 17\n", " 4\n", " 7\n", - " [reactor.core.publisher, com.fasterxml.jackson...\n", - " [reactor.core.publisher.Mono, com.fasterxml.ja...\n", + " [org.slf4j, com.fasterxml.jackson.annotation, ...\n", + " [org.slf4j.Logger, org.slf4j.LoggerFactory, co...\n", " responsetypes\n", " org.axonframework.messaging.responsetypes.Mult...\n", " \n", @@ -1736,8 +1736,8 @@ " 33\n", " 4\n", " 13\n", - " [reactor.core.publisher, org.reactivestreams, ...\n", - " [reactor.core.publisher.Sinks$ManySpec, reacto...\n", + " [javax.annotation, org.slf4j, org.reactivestre...\n", + " [javax.annotation.Nonnull, org.slf4j.Logger, o...\n", " queryhandling\n", " org.axonframework.queryhandling.SimpleQueryUpd...\n", " \n", @@ -1750,8 +1750,8 @@ " 55\n", " 4\n", " 6\n", - " [org.slf4j, org.reactivestreams, javax.annotat...\n", - " [org.slf4j.LoggerFactory, org.reactivestreams....\n", + " [javax.annotation, org.slf4j, org.reactivestre...\n", + " [javax.annotation.Nonnull, org.slf4j.Logger, o...\n", " queryhandling\n", " org.axonframework.queryhandling.SimpleQueryBus\n", " \n", @@ -1759,27 +1759,27 @@ " 8\n", " axon-messaging-4.7.5\n", " org.axonframework.serialization\n", - " GapAwareTrackingTokenConverter\n", + " AbstractXStreamSerializer$MetaDataConverter\n", " 6\n", - " 25\n", + " 14\n", " 4\n", " 6\n", - " [com.thoughtworks.xstream.io, com.thoughtworks...\n", - " [com.thoughtworks.xstream.io.HierarchicalStrea...\n", + " [com.thoughtworks.xstream.converters.collectio...\n", + " [com.thoughtworks.xstream.converters.collectio...\n", " serialization\n", - " org.axonframework.serialization.GapAwareTracki...\n", + " org.axonframework.serialization.AbstractXStrea...\n", " \n", " \n", " 9\n", " axon-messaging-4.7.5\n", " org.axonframework.serialization\n", - " GapAwareTrackingTokenConverter$ReflectivelyCon...\n", + " GapAwareTrackingTokenConverter\n", " 6\n", " 25\n", " 4\n", " 6\n", - " [com.thoughtworks.xstream.converters.collectio...\n", - " [com.thoughtworks.xstream.converters.collectio...\n", + " [com.thoughtworks.xstream.mapper, com.thoughtw...\n", + " [com.thoughtworks.xstream.mapper.Mapper, com.t...\n", " serialization\n", " org.axonframework.serialization.GapAwareTracki...\n", " \n", @@ -1787,15 +1787,15 @@ " 10\n", " axon-messaging-4.7.5\n", " org.axonframework.serialization\n", - " AbstractXStreamSerializer$MetaDataConverter\n", + " GapAwareTrackingTokenConverter$ReflectivelyCon...\n", " 6\n", - " 14\n", + " 25\n", " 4\n", " 6\n", - " [com.thoughtworks.xstream.converters.collectio...\n", - " [com.thoughtworks.xstream.converters.collectio...\n", + " [com.thoughtworks.xstream.mapper, com.thoughtw...\n", + " [com.thoughtworks.xstream.mapper.Mapper, com.t...\n", " serialization\n", - " org.axonframework.serialization.AbstractXStrea...\n", + " org.axonframework.serialization.GapAwareTracki...\n", " \n", " \n", " 11\n", @@ -1806,8 +1806,8 @@ " 21\n", " 4\n", " 6\n", - " [com.fasterxml.jackson.core, com.fasterxml.jac...\n", - " [com.fasterxml.jackson.core.JacksonException, ...\n", + " [com.fasterxml.jackson.databind.type, com.fast...\n", + " [com.fasterxml.jackson.databind.type.TypeFacto...\n", " json\n", " org.axonframework.serialization.json.MetaDataD...\n", " \n", @@ -1820,8 +1820,8 @@ " 5\n", " 3\n", " 3\n", - " [com.lmax.disruptor, com.lmax.disruptor.dsl, o...\n", - " [com.lmax.disruptor.ExceptionHandler, com.lmax...\n", + " [org.slf4j, com.lmax.disruptor.dsl, com.lmax.d...\n", + " [org.slf4j.Logger, com.lmax.disruptor.dsl.Disr...\n", " commandhandling\n", " org.axonframework.disruptor.commandhandling.Di...\n", " \n", @@ -1834,8 +1834,8 @@ " 11\n", " 3\n", " 4\n", - " [javax.annotation, org.slf4j, com.lmax.disruptor]\n", - " [javax.annotation.Nonnull, org.slf4j.LoggerFac...\n", + " [org.slf4j, com.lmax.disruptor, javax.annotation]\n", + " [org.slf4j.Logger, com.lmax.disruptor.RingBuff...\n", " commandhandling\n", " org.axonframework.disruptor.commandhandling.Bl...\n", " \n", @@ -1848,8 +1848,8 @@ " 47\n", " 3\n", " 6\n", - " [org.slf4j, jakarta.persistence, javax.annotat...\n", - " [org.slf4j.Logger, jakarta.persistence.EntityM...\n", + " [javax.annotation, org.slf4j, jakarta.persiste...\n", + " [javax.annotation.Nonnull, org.slf4j.Logger, o...\n", " jpa\n", " org.axonframework.eventsourcing.eventstore.jpa...\n", " \n", @@ -1863,7 +1863,7 @@ " 3\n", " 4\n", " [org.slf4j, javax.sql, jakarta.persistence]\n", - " [org.slf4j.LoggerFactory, org.slf4j.Logger, ja...\n", + " [org.slf4j.Logger, org.slf4j.LoggerFactory, ja...\n", " jpa\n", " org.axonframework.eventsourcing.eventstore.jpa...\n", " \n", @@ -1871,13 +1871,13 @@ " 16\n", " axon-eventsourcing-4.7.5\n", " org.axonframework.eventsourcing.eventstore.leg...\n", - " SQLErrorCodesResolver\n", - " 4\n", - " 12\n", + " JpaEventStorageEngine\n", + " 6\n", + " 47\n", " 3\n", - " 4\n", - " [org.slf4j, javax.sql, javax.persistence]\n", - " [org.slf4j.LoggerFactory, javax.sql.DataSource...\n", + " 6\n", + " [javax.annotation, org.slf4j, javax.persistence]\n", + " [javax.annotation.Nonnull, org.slf4j.Logger, o...\n", " legacyjpa\n", " org.axonframework.eventsourcing.eventstore.leg...\n", " \n", @@ -1885,13 +1885,13 @@ " 17\n", " axon-eventsourcing-4.7.5\n", " org.axonframework.eventsourcing.eventstore.leg...\n", - " JpaEventStorageEngine\n", - " 6\n", - " 47\n", + " SQLErrorCodesResolver\n", + " 4\n", + " 12\n", " 3\n", - " 6\n", - " [javax.persistence, org.slf4j, javax.annotation]\n", - " [javax.persistence.Query, org.slf4j.LoggerFact...\n", + " 4\n", + " [org.slf4j, javax.sql, javax.persistence]\n", + " [org.slf4j.Logger, org.slf4j.LoggerFactory, ja...\n", " legacyjpa\n", " org.axonframework.eventsourcing.eventstore.leg...\n", " \n", @@ -1905,7 +1905,7 @@ " 3\n", " 5\n", " [javax.annotation, org.slf4j, org.jobrunr.sche...\n", - " [javax.annotation.Nonnull, org.slf4j.LoggerFac...\n", + " [javax.annotation.Nonnull, javax.annotation.Nu...\n", " jobrunr\n", " org.axonframework.deadline.jobrunr.JobRunrDead...\n", " \n", @@ -1918,8 +1918,8 @@ " 74\n", " 3\n", " 7\n", - " [javax.annotation, jakarta.persistence, org.sl...\n", - " [javax.annotation.Nonnull, jakarta.persistence...\n", + " [javax.annotation, org.slf4j, jakarta.persiste...\n", + " [javax.annotation.Nonnull, org.slf4j.Logger, o...\n", " jpa\n", " org.axonframework.eventhandling.deadletter.jpa...\n", " \n", @@ -1975,52 +1975,52 @@ " typeName \\\n", "0 JacksonSerializer \n", "1 XStreamSerializer \n", - "2 DisruptorCommandBus$DisruptorRepository \n", - "3 DisruptorCommandBus \n", + "2 DisruptorCommandBus \n", + "3 DisruptorCommandBus$DisruptorRepository \n", "4 QuartzDeadlineManager \n", "5 MultipleInstancesResponseType \n", "6 SimpleQueryUpdateEmitter \n", "7 SimpleQueryBus \n", - "8 GapAwareTrackingTokenConverter \n", - "9 GapAwareTrackingTokenConverter$ReflectivelyCon... \n", - "10 AbstractXStreamSerializer$MetaDataConverter \n", + "8 AbstractXStreamSerializer$MetaDataConverter \n", + "9 GapAwareTrackingTokenConverter \n", + "10 GapAwareTrackingTokenConverter$ReflectivelyCon... \n", "11 MetaDataDeserializer \n", "12 DisruptorCommandBus$ExceptionHandler \n", "13 BlacklistDetectingCallback \n", "14 JpaEventStorageEngine \n", "15 SQLErrorCodesResolver \n", - "16 SQLErrorCodesResolver \n", - "17 JpaEventStorageEngine \n", + "16 JpaEventStorageEngine \n", + "17 SQLErrorCodesResolver \n", "18 JobRunrDeadlineManager \n", "19 JpaSequencedDeadLetterQueue \n", "\n", " numberOfExternalTypeCaller numberOfExternalTypeCalls \\\n", "0 9 29 \n", "1 7 22 \n", - "2 4 14 \n", - "3 6 34 \n", + "2 6 34 \n", + "3 4 14 \n", "4 13 78 \n", "5 7 17 \n", "6 13 33 \n", "7 6 55 \n", - "8 6 25 \n", + "8 6 14 \n", "9 6 25 \n", - "10 6 14 \n", + "10 6 25 \n", "11 6 21 \n", "12 3 5 \n", "13 4 11 \n", "14 6 47 \n", "15 4 12 \n", - "16 4 12 \n", - "17 6 47 \n", + "16 6 47 \n", + "17 4 12 \n", "18 5 18 \n", "19 7 74 \n", "\n", " numberOfExternalPackages numberOfExternalTypes \\\n", "0 6 9 \n", "1 5 7 \n", - "2 4 4 \n", - "3 4 6 \n", + "2 4 6 \n", + "3 4 4 \n", "4 4 13 \n", "5 4 7 \n", "6 4 13 \n", @@ -2033,54 +2033,54 @@ "13 3 4 \n", "14 3 6 \n", "15 3 4 \n", - "16 3 4 \n", - "17 3 6 \n", + "16 3 6 \n", + "17 3 4 \n", "18 3 5 \n", "19 3 7 \n", "\n", " externalPackageNames \\\n", - "0 [com.fasterxml.jackson.core, com.fasterxml.jac... \n", - "1 [nu.xom, com.thoughtworks.xstream.io.xml, org.... \n", - "2 [com.lmax.disruptor, org.slf4j, javax.annotati... \n", - "3 [org.slf4j, com.lmax.disruptor.dsl, javax.anno... \n", - "4 [org.quartz.impl.matchers, org.slf4j, org.quar... \n", - "5 [reactor.core.publisher, com.fasterxml.jackson... \n", - "6 [reactor.core.publisher, org.reactivestreams, ... \n", - "7 [org.slf4j, org.reactivestreams, javax.annotat... \n", - "8 [com.thoughtworks.xstream.io, com.thoughtworks... \n", - "9 [com.thoughtworks.xstream.converters.collectio... \n", - "10 [com.thoughtworks.xstream.converters.collectio... \n", - "11 [com.fasterxml.jackson.core, com.fasterxml.jac... \n", - "12 [com.lmax.disruptor, com.lmax.disruptor.dsl, o... \n", - "13 [javax.annotation, org.slf4j, com.lmax.disruptor] \n", - "14 [org.slf4j, jakarta.persistence, javax.annotat... \n", + "0 [javax.annotation, com.fasterxml.jackson.datab... \n", + "1 [org.slf4j, com.thoughtworks.xstream, org.dom4... \n", + "2 [org.slf4j, com.lmax.disruptor, javax.annotati... \n", + "3 [org.slf4j, com.lmax.disruptor, javax.annotati... \n", + "4 [javax.annotation, org.slf4j, org.quartz, org.... \n", + "5 [org.slf4j, com.fasterxml.jackson.annotation, ... \n", + "6 [javax.annotation, org.slf4j, org.reactivestre... \n", + "7 [javax.annotation, org.slf4j, org.reactivestre... \n", + "8 [com.thoughtworks.xstream.converters.collectio... \n", + "9 [com.thoughtworks.xstream.mapper, com.thoughtw... \n", + "10 [com.thoughtworks.xstream.mapper, com.thoughtw... \n", + "11 [com.fasterxml.jackson.databind.type, com.fast... \n", + "12 [org.slf4j, com.lmax.disruptor.dsl, com.lmax.d... \n", + "13 [org.slf4j, com.lmax.disruptor, javax.annotation] \n", + "14 [javax.annotation, org.slf4j, jakarta.persiste... \n", "15 [org.slf4j, javax.sql, jakarta.persistence] \n", - "16 [org.slf4j, javax.sql, javax.persistence] \n", - "17 [javax.persistence, org.slf4j, javax.annotation] \n", + "16 [javax.annotation, org.slf4j, javax.persistence] \n", + "17 [org.slf4j, javax.sql, javax.persistence] \n", "18 [javax.annotation, org.slf4j, org.jobrunr.sche... \n", - "19 [javax.annotation, jakarta.persistence, org.sl... \n", + "19 [javax.annotation, org.slf4j, jakarta.persiste... \n", "\n", " externalTypeNames packageName \\\n", - "0 [com.fasterxml.jackson.core.JsonProcessingExce... json \n", - "1 [nu.xom.Document, com.thoughtworks.xstream.io.... xml \n", - "2 [com.lmax.disruptor.RingBuffer, org.slf4j.Logg... commandhandling \n", - "3 [org.slf4j.Logger, com.lmax.disruptor.dsl.Even... commandhandling \n", - "4 [org.quartz.impl.matchers.GroupMatcher, org.sl... quartz \n", - "5 [reactor.core.publisher.Mono, com.fasterxml.ja... responsetypes \n", - "6 [reactor.core.publisher.Sinks$ManySpec, reacto... queryhandling \n", - "7 [org.slf4j.LoggerFactory, org.reactivestreams.... queryhandling \n", - "8 [com.thoughtworks.xstream.io.HierarchicalStrea... serialization \n", - "9 [com.thoughtworks.xstream.converters.collectio... serialization \n", - "10 [com.thoughtworks.xstream.converters.collectio... serialization \n", - "11 [com.fasterxml.jackson.core.JacksonException, ... json \n", - "12 [com.lmax.disruptor.ExceptionHandler, com.lmax... commandhandling \n", - "13 [javax.annotation.Nonnull, org.slf4j.LoggerFac... commandhandling \n", - "14 [org.slf4j.Logger, jakarta.persistence.EntityM... jpa \n", - "15 [org.slf4j.LoggerFactory, org.slf4j.Logger, ja... jpa \n", - "16 [org.slf4j.LoggerFactory, javax.sql.DataSource... legacyjpa \n", - "17 [javax.persistence.Query, org.slf4j.LoggerFact... legacyjpa \n", - "18 [javax.annotation.Nonnull, org.slf4j.LoggerFac... jobrunr \n", - "19 [javax.annotation.Nonnull, jakarta.persistence... jpa \n", + "0 [javax.annotation.Nonnull, com.fasterxml.jacks... json \n", + "1 [org.slf4j.Logger, org.slf4j.LoggerFactory, co... xml \n", + "2 [org.slf4j.Logger, com.lmax.disruptor.RingBuff... commandhandling \n", + "3 [org.slf4j.Logger, com.lmax.disruptor.RingBuff... commandhandling \n", + "4 [javax.annotation.Nonnull, org.slf4j.Logger, o... quartz \n", + "5 [org.slf4j.Logger, org.slf4j.LoggerFactory, co... responsetypes \n", + "6 [javax.annotation.Nonnull, org.slf4j.Logger, o... queryhandling \n", + "7 [javax.annotation.Nonnull, org.slf4j.Logger, o... queryhandling \n", + "8 [com.thoughtworks.xstream.converters.collectio... serialization \n", + "9 [com.thoughtworks.xstream.mapper.Mapper, com.t... serialization \n", + "10 [com.thoughtworks.xstream.mapper.Mapper, com.t... serialization \n", + "11 [com.fasterxml.jackson.databind.type.TypeFacto... json \n", + "12 [org.slf4j.Logger, com.lmax.disruptor.dsl.Disr... commandhandling \n", + "13 [org.slf4j.Logger, com.lmax.disruptor.RingBuff... commandhandling \n", + "14 [javax.annotation.Nonnull, org.slf4j.Logger, o... jpa \n", + "15 [org.slf4j.Logger, org.slf4j.LoggerFactory, ja... jpa \n", + "16 [javax.annotation.Nonnull, org.slf4j.Logger, o... legacyjpa \n", + "17 [org.slf4j.Logger, org.slf4j.LoggerFactory, ja... legacyjpa \n", + "18 [javax.annotation.Nonnull, javax.annotation.Nu... jobrunr \n", + "19 [javax.annotation.Nonnull, org.slf4j.Logger, o... jpa \n", "\n", " fullTypeName \n", "0 org.axonframework.serialization.json.JacksonSe... \n", @@ -2091,9 +2091,9 @@ "5 org.axonframework.messaging.responsetypes.Mult... \n", "6 org.axonframework.queryhandling.SimpleQueryUpd... \n", "7 org.axonframework.queryhandling.SimpleQueryBus \n", - "8 org.axonframework.serialization.GapAwareTracki... \n", + "8 org.axonframework.serialization.AbstractXStrea... \n", "9 org.axonframework.serialization.GapAwareTracki... \n", - "10 org.axonframework.serialization.AbstractXStrea... \n", + "10 org.axonframework.serialization.GapAwareTracki... \n", "11 org.axonframework.serialization.json.MetaDataD... \n", "12 org.axonframework.disruptor.commandhandling.Di... \n", "13 org.axonframework.disruptor.commandhandling.Bl... \n", @@ -2143,10 +2143,10 @@ "id": "d750524a", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:18.312402Z", - "iopub.status.busy": "2023-06-28T21:12:18.311999Z", - "iopub.status.idle": "2023-06-28T21:12:20.114635Z", - "shell.execute_reply": "2023-06-28T21:12:20.113946Z" + "iopub.execute_input": "2023-08-02T12:47:16.681269Z", + "iopub.status.busy": "2023-08-02T12:47:16.681174Z", + "iopub.status.idle": "2023-08-02T12:47:16.704962Z", + "shell.execute_reply": "2023-08-02T12:47:16.704731Z" } }, "outputs": [ @@ -2184,43 +2184,27 @@ " axon-configuration-4.7.5\n", " 39\n", " 1\n", - " 5\n", - " 12.820513\n", + " 12\n", + " 30.769231\n", " \n", " \n", " 1\n", " axon-disruptor-4.7.5\n", " 22\n", " 1\n", - " 2\n", - " 9.090909\n", + " 6\n", + " 27.272727\n", " \n", " \n", " 2\n", - " axon-disruptor-4.7.5\n", - " 22\n", - " 2\n", - " 4\n", - " 18.181818\n", - " \n", - " \n", - " 3\n", - " axon-disruptor-4.7.5\n", - " 22\n", - " 3\n", - " 3\n", - " 13.636364\n", - " \n", - " \n", - " 4\n", " axon-eventsourcing-4.7.5\n", " 130\n", " 1\n", - " 12\n", - " 9.230769\n", + " 28\n", + " 21.538462\n", " \n", " \n", - " 5\n", + " 3\n", " axon-eventsourcing-4.7.5\n", " 130\n", " 2\n", @@ -2228,135 +2212,71 @@ " 2.307692\n", " \n", " \n", - " 6\n", - " axon-eventsourcing-4.7.5\n", - " 130\n", - " 3\n", - " 2\n", - " 1.538462\n", - " \n", - " \n", - " 7\n", + " 4\n", " axon-messaging-4.7.5\n", " 729\n", " 1\n", - " 100\n", - " 13.717421\n", + " 215\n", + " 29.492455\n", " \n", " \n", - " 8\n", - " axon-messaging-4.7.5\n", - " 729\n", - " 2\n", - " 29\n", - " 3.978052\n", - " \n", - " \n", - " 9\n", - " axon-messaging-4.7.5\n", - " 729\n", - " 3\n", - " 5\n", - " 0.685871\n", - " \n", - " \n", - " 10\n", - " axon-messaging-4.7.5\n", - " 729\n", - " 4\n", - " 4\n", - " 0.548697\n", - " \n", - " \n", - " 11\n", + " 5\n", " axon-messaging-4.7.5\n", " 729\n", - " 5\n", " 2\n", - " 0.274348\n", + " 13\n", + " 1.783265\n", " \n", " \n", - " 12\n", + " 6\n", " axon-modelling-4.7.5\n", " 149\n", " 1\n", - " 10\n", - " 6.711409\n", + " 35\n", + " 23.489933\n", " \n", " \n", - " 13\n", + " 7\n", " axon-modelling-4.7.5\n", " 149\n", " 2\n", - " 3\n", - " 2.013423\n", - " \n", - " \n", - " 14\n", - " axon-test-4.7.5\n", - " 85\n", - " 1\n", - " 28\n", - " 32.941176\n", - " \n", - " \n", - " 15\n", - " axon-test-4.7.5\n", - " 85\n", - " 2\n", " 2\n", - " 2.352941\n", + " 1.342282\n", " \n", " \n", - " 16\n", + " 8\n", " axon-test-4.7.5\n", " 85\n", - " 3\n", - " 3\n", - " 3.529412\n", + " 1\n", + " 10\n", + " 11.764706\n", " \n", " \n", "\n", "" ], "text/plain": [ - " artifactName artifactTypes numberOfExternalPackages \\\n", - "0 axon-configuration-4.7.5 39 1 \n", - "1 axon-disruptor-4.7.5 22 1 \n", - "2 axon-disruptor-4.7.5 22 2 \n", - "3 axon-disruptor-4.7.5 22 3 \n", - "4 axon-eventsourcing-4.7.5 130 1 \n", - "5 axon-eventsourcing-4.7.5 130 2 \n", - "6 axon-eventsourcing-4.7.5 130 3 \n", - "7 axon-messaging-4.7.5 729 1 \n", - "8 axon-messaging-4.7.5 729 2 \n", - "9 axon-messaging-4.7.5 729 3 \n", - "10 axon-messaging-4.7.5 729 4 \n", - "11 axon-messaging-4.7.5 729 5 \n", - "12 axon-modelling-4.7.5 149 1 \n", - "13 axon-modelling-4.7.5 149 2 \n", - "14 axon-test-4.7.5 85 1 \n", - "15 axon-test-4.7.5 85 2 \n", - "16 axon-test-4.7.5 85 3 \n", + " artifactName artifactTypes numberOfExternalPackages \\\n", + "0 axon-configuration-4.7.5 39 1 \n", + "1 axon-disruptor-4.7.5 22 1 \n", + "2 axon-eventsourcing-4.7.5 130 1 \n", + "3 axon-eventsourcing-4.7.5 130 2 \n", + "4 axon-messaging-4.7.5 729 1 \n", + "5 axon-messaging-4.7.5 729 2 \n", + "6 axon-modelling-4.7.5 149 1 \n", + "7 axon-modelling-4.7.5 149 2 \n", + "8 axon-test-4.7.5 85 1 \n", "\n", - " numberOfTypes numberOfTypesPercentage \n", - "0 5 12.820513 \n", - "1 2 9.090909 \n", - "2 4 18.181818 \n", - "3 3 13.636364 \n", - "4 12 9.230769 \n", - "5 3 2.307692 \n", - "6 2 1.538462 \n", - "7 100 13.717421 \n", - "8 29 3.978052 \n", - "9 5 0.685871 \n", - "10 4 0.548697 \n", - "11 2 0.274348 \n", - "12 10 6.711409 \n", - "13 3 2.013423 \n", - "14 28 32.941176 \n", - "15 2 2.352941 \n", - "16 3 3.529412 " + " numberOfTypes numberOfTypesPercentage \n", + "0 12 30.769231 \n", + "1 6 27.272727 \n", + "2 28 21.538462 \n", + "3 3 2.307692 \n", + "4 215 29.492455 \n", + "5 13 1.783265 \n", + "6 35 23.489933 \n", + "7 2 1.342282 \n", + "8 10 11.764706 " ] }, "execution_count": 15, @@ -2386,10 +2306,10 @@ "id": "7a2ebcf9", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:20.117958Z", - "iopub.status.busy": "2023-06-28T21:12:20.117568Z", - "iopub.status.idle": "2023-06-28T21:12:20.131668Z", - "shell.execute_reply": "2023-06-28T21:12:20.131109Z" + "iopub.execute_input": "2023-08-02T12:47:16.706469Z", + "iopub.status.busy": "2023-08-02T12:47:16.706395Z", + "iopub.status.idle": "2023-08-02T12:47:16.712550Z", + "shell.execute_reply": "2023-08-02T12:47:16.712293Z" } }, "outputs": [ @@ -2434,47 +2354,20 @@ " \n", " \n", " 1\n", - " 12.820513\n", - " 9.090909\n", - " 9.230769\n", - " 13.717421\n", - " 6.711409\n", - " 32.941176\n", + " 30.769231\n", + " 27.272727\n", + " 21.538462\n", + " 29.492455\n", + " 23.489933\n", + " 11.764706\n", " \n", " \n", " 2\n", " 0.000000\n", - " 18.181818\n", - " 2.307692\n", - " 3.978052\n", - " 2.013423\n", - " 2.352941\n", - " \n", - " \n", - " 3\n", - " 0.000000\n", - " 13.636364\n", - " 1.538462\n", - " 0.685871\n", - " 0.000000\n", - " 3.529412\n", - " \n", - " \n", - " 4\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " 0.548697\n", - " 0.000000\n", - " 0.000000\n", - " \n", - " \n", - " 5\n", - " 0.000000\n", - " 0.000000\n", - " 0.000000\n", - " 0.274348\n", " 0.000000\n", + " 2.307692\n", + " 1.783265\n", + " 1.342282\n", " 0.000000\n", " \n", " \n", @@ -2484,27 +2377,18 @@ "text/plain": [ "artifactName axon-configuration-4.7.5 axon-disruptor-4.7.5 \\\n", "numberOfExternalPackages \n", - "1 12.820513 9.090909 \n", - "2 0.000000 18.181818 \n", - "3 0.000000 13.636364 \n", - "4 0.000000 0.000000 \n", - "5 0.000000 0.000000 \n", + "1 30.769231 27.272727 \n", + "2 0.000000 0.000000 \n", "\n", "artifactName axon-eventsourcing-4.7.5 axon-messaging-4.7.5 \\\n", "numberOfExternalPackages \n", - "1 9.230769 13.717421 \n", - "2 2.307692 3.978052 \n", - "3 1.538462 0.685871 \n", - "4 0.000000 0.548697 \n", - "5 0.000000 0.274348 \n", + "1 21.538462 29.492455 \n", + "2 2.307692 1.783265 \n", "\n", "artifactName axon-modelling-4.7.5 axon-test-4.7.5 \n", "numberOfExternalPackages \n", - "1 6.711409 32.941176 \n", - "2 2.013423 2.352941 \n", - "3 0.000000 3.529412 \n", - "4 0.000000 0.000000 \n", - "5 0.000000 0.000000 " + "1 23.489933 11.764706 \n", + "2 1.342282 0.000000 " ] }, "execution_count": 16, @@ -2544,10 +2428,10 @@ "id": "58c9052a", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:20.134964Z", - "iopub.status.busy": "2023-06-28T21:12:20.134674Z", - "iopub.status.idle": "2023-06-28T21:12:20.360568Z", - "shell.execute_reply": "2023-06-28T21:12:20.359927Z" + "iopub.execute_input": "2023-08-02T12:47:16.713968Z", + "iopub.status.busy": "2023-08-02T12:47:16.713864Z", + "iopub.status.idle": "2023-08-02T12:47:16.785341Z", + "shell.execute_reply": "2023-08-02T12:47:16.785096Z" } }, "outputs": [ @@ -2562,7 +2446,7 @@ }, { "data": { - "image/png": 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vv/HgwQPUqFFDLHNzc8OSJUtw69YtmaR/x44dMus2b94cBgYGuHXrVr6Tg+nLwWSGFJahoSGmT5+OKVOmYPv27Rg4cCACAgLQuXNndOzYEUOHDoWlpSVevHiB6OhoXL58Gbt37853W3p6emjVqhUWL16MSpUqwcbGBidPnkRgYKDMX4zAu/vdAMD69euhq6sLDQ0N2Nra5jtskmvYsGFYuHAh+vfvD01NTXzzzTcyy7/99lts27YNHh4eGDduHBo1agRVVVXcv38fx48fR7du3dCjR48iz0lkZGS+N82rXbs29PT0kJSUhIEDB8LNzQ0+Pj5QUlLCzp070apVK0yZMgUrVqwA8O7qLE1NTWzbtg21atWCjo4OLCwsYGFhUeJzXBJdunTB3r17MXr0aPTu3Rv37t3DL7/8AnNz8xLf/bko8nwW/Pz8cPjwYbRq1Qo//fQT6tati1evXiEkJATe3t5wcHCQqa+qqorff/8dI0aMQO/evbFlyxb069cPDg4OqF69OqZNmwZBEGBkZIQ///wToaGheeLz8/PDV199hY4dO2LcuHHIycnB4sWLoaOjI9Nz1Lx5c3z//ff47rvvEBERgVatWkFbWxtJSUk4c+YM6tatW+g9dapXr44xY8Zg8eLFePXqFTw8PKCpqYnw8HAsWLAALi4u6N+/v1i/a9eu4r2gTExMcPfuXaxYsQLW1tbilXxdunRBUFAQHBwc4OTkhMjISCxevDjPUN348eOxadMmdO7cGX5+fqhcuTK2b9+O27dvAwCUlN5N99TR0cHq1asxZMgQvHjxAr1794apqSmePn2Kq1ev4unTp/D39y9Gq5PCK8/Zx0TFkXtVTHh4eJ5lb968EapWrSrY2dkJ2dnZgiAIwtWrV4W+ffsKpqamgqqqqmBmZia0bdtWWLdunbheflcz3b9/X+jVq5dgaGgo6OrqCp06dRJu3LiR71UyK1asEGxtbQVlZWWZq34+vJrpfc2aNRMACAMGDMh3eVZWlrBkyRKhXr16goaGhqCjoyM4ODgIo0aNEmJjYws9R4VdzQRACA0NFbKzswU3NzehcuXKQlJSksz6ixcvFgAI+/btE8t+//13wcHBQVBVVRUACD4+PuKy4pzjwtrNzc1NqFOnTp7y/M7fggULBBsbG0FdXV2oVauWsGHDBvF43yfP1UxfffVVoXXk+Szcu3dPGDZsmGBmZiaoqqoKFhYWQt++fYXHjx8LgiB7NVMuqVQqjB07VlBSUhI2bNggCIIg3Lp1S3B3dxd0dXUFQ0NDoU+fPkJiYmKecy8IgrBv3z6hbt26gpqamlC1alVhwYIFwtixYwVDQ8M8x7Jp0yahcePGgra2tqCpqSlUr15dGDx4sBAREVHkuZJKpYK/v7/g4uIiaGlpCWpqaoKdnZ0wdepUITU1Vabu0qVLhWbNmgmVKlUS4xo+fLiQkJAg1nn58qUwfPhwwdTUVNDS0hJatGghnD59WnBzc5O5MkoQBOHGjRtC+/btBQ0NDcHIyEgYPny4EBwcLAAQrl69KlP35MmTwldffSUYGRkJqqqqgqWlpfDVV1/JnHP6vEkEQRA+dQJFRESlJysrC87OzrC0tMTRo0fLO5wy8/333+P333/H8+fPC5wsT18mDjMRESmY4cOHw93dHebm5nj06BHWrVuH6OhombvtKjo/Pz9YWFigWrVq4pygjRs3YubMmUxkKA8mM0RECiY1NRWTJk3C06dPoaqqigYNGuDQoUMFTshVRKqqqli8eDHu37+P7Oxs2NnZYdmyZeX6IFequDjMRERERAqNdwAmIiIihcZkhoiIiBQakxkiIiJSaJ/9BGCpVIqHDx9CV1f3o26rTkRERJ+OIAhITU2FhYWFeKPEgnz2yczDhw9hZWVV3mEQERFRCdy7d6/IB7p+9slM7gP67t27Bz09vXKOpuSysrJw9OhRdOjQQeZJtfTpsS0qDrZFxcG2qDg+l7ZISUmBlZVVsR60+9knM7lDS3p6egqfzGhpaUFPT0+hP5yfA7ZFxcG2qDjYFhXH59YWxZkiwgnAREREpNCYzBAREZFCYzJDRERECu2znzNDRFQQqVSKzMzM8g7js5CVlQUVFRW8ffsWOTk55R3OF01R2kJVVRXKysqlsi0mM0T0RcrMzER8fDykUml5h/JZEAQBZmZmuHfvHu/pVc4UqS0MDAxgZmb20XEymSGiL44gCEhKSoKysjKsrKyKvCEXFU0qlSItLQ06Ojo8n+VMEdpCEAS8fv0aT548AQCYm5t/1PaYzBDRFyc7OxuvX7+GhYUFtLS0yjucz0LukJ2GhkaF/QH9UihKW2hqagIAnjx5AlNT048acqq4R0lEVEZy5xGoqamVcyREX7bcPyaysrI+ajtMZojoi1XR5xMQfe5K6zvIZIaIiIgUGpMZIiIqEzY2NlixYoX4/tGjR3B3d4e2tjYMDAzKLS76/DCZISKijxIUFAQjI6M85eHh4fj+++/F98uXL0dSUhKioqLw77//lsq+W7dujfHjx8uUJSQkQCKRwNTUFKmpqTLLnJ2d4evrWyr7poqDyQwREZVYYRM3TUxMZK4Wi4uLQ8OGDWFnZwdTU9Myjy01NRVLliwp8/1Q+WMyQ0REopCQELRo0QIGBgYwNjZGly5dEBcXB+B/PR67du1C69atoaGhga1bt+K7775DcnIyDA0NoaysLPZ8vD/MZGNjgz179mDLli2QSCQYOnQoAGDZsmWoW7cutLW1YWVlhdGjRyMtLU0mprNnz8LNzQ1aWlowNDREx44d8fLlSwwdOhQnT57EypUrIZFIIJFIkJCQIK7n5eWFZcuWifcyyc/WrVvh4uICXV1dmJmZoX///jL1T5w4AYlEgiNHjqB+/frQ1NRE27Zt8eTJExw+fBi1atWCnp4e+vXrh9evX4vrCYKARYsWoVq1atDU1ES9evXwxx9/fETLUGGYzBARkSg9PR3e3t4IDw9HWFgYlJSU0KNHD5k7JU+dOhVjx45FdHQ02rVrhxUrVkBPTw+3b9/GgwcPMGnSpDzbDQ8PR6dOndC3b18kJSVh5cqVAAAlJSWsWrUKN27cQHBwMI4dO4YpU6aI60VFRaFdu3aoU6cOzp8/jzNnzqBr167IycnBypUr0bRpU4wcORJJSUlISkqClZWVuG6/fv1Qo0YN+Pn5FXi8mZmZ+OWXX3D16lXs378f8fHxYqL1Pl9fX6xZswbnzp3DvXv30LdvX6xYsQLbt2/H33//jdDQUKxevVqsP3PmTGzevBn+/v64efMmJkyYgIEDB+LkyZNytQcVD2+a9wWJjIwsdHnDhg0/USREVFH16tVL5n1gYCBMTU1x69Yt6OjoAADGjx+Pnj17inX09fUhkUhQuXJl6Onp5XujNhMTE6irq0NTUxNmZmZi+fvzXWxtbfHLL7/ghx9+wNq1awEAixYtgouLi/geAOrUqSP+W01NDVpaWjLbzCWRSLBgwQJ07doVEyZMQPXq1fPUGTZsmPjvatWqYdWqVWjUqJF4B91cc+bMQfPmzQEAw4cPx/Tp0xEXF4dq1aoBAHr37o3jx49j6tSpSE9Px7Jly3Ds2DE0bdpU3PaZM2cQEBAANze3PHHQx2HPDBERieLi4tC/f39Uq1YNenp6sLW1BQAkJiaKdVxcXEptf8ePH4e7uzssLS2hq6uLwYMH4/nz50hPTwfwv56ZkurYsSNatGiBWbNm5bv8ypUr6NatG6ytraGrq4vWrVsDkD1eAHBychL/XblyZWhpaYmJTG5Z7vDUrVu38PbtW7i7u0NHR0d8bdmyRRyyo9LFnhkiIhJ17doVVlZW2LBhAywsLCCVSuHo6CjzdHFtbe1S2dfdu3fh4eEBT09P/PLLLzAyMsKZM2cwfPhwcWJx7i3vP8aCBQvQtGlTTJ48WaY8PT0dHTp0QIcOHbB161aYmJggMTERHTt2zPM0dVVVVfHfEolE5n1uWe5QXO7///3337C0tJSpp66u/tHHQ3kxmSEiIgDA8+fPER0djYCAALRs2RIAcObMmSLXU1NTEx8RIY+IiAhkZ2dj6dKl4tDUrl27ZOo4OTkhLCwMs2fPLvG+GzVqhJ49e2LatGky5bdv38azZ8+wYMECca5NRESE3Mfxodq1a0NdXR2JiYkcUvpEmMwQEREAwNDQEMbGxli/fj3Mzc2RmJiYJwHIj42NDdLS0nDy5Ek0bdoUOjo6xXqAZ/Xq1ZGdnY3Vq1eja9euOHv2LNatWydTZ/r06ahbty5Gjx4NT09PqKmp4fjx4+jTpw8qVaoEGxsbXLx4EQkJCdDR0cn3fjcAMHfuXNSpUwcqKv/72atatSrU1NSwevVqeHp64saNG/jll1+KjLsourq6mDRpEiZMmACpVIoWLVogJSUF586dg46ODoYMGfLR+yBZnDNDREQA3l1ZtGPHDkRGRsLR0RETJkzA4sWLi1yvWbNmGDVqFIYNG4bKlStj0aJFxdqfs7Mzli1bhoULF8LR0RHbtm3D/PnzZerY29vj6NGjuHr1Kho1aoSmTZviwIEDYlIyadIkKCsro3bt2uIwUX7s7e0xbNgwvH37ViwzMTFBUFAQdu/ejdq1a2PBggWldl+aX375BT///DPmz5+PWrVqoWPHjvjzzz/FOUhUuiSCIAjlHURZSklJgb6+PpKTk6Gnp1fe4ZRYVlYWDh06BA8PjzxjtcXFq5lKR2m0BZWOkrbF27dvER8fD1tbW2hoaJRhhF8OqVSKlJSUAq9mok9HkdqisO+iPL/fFfsoiYiIiIrAZIaIiIgUGpMZIiIiUmhMZoiIiEihMZkhIiIihcZkhoiIiBQakxkiIiJSaExmiIiISKExmSEiIiKFxmSGiIgUwtmzZ1G3bl2oqqqie/fuOHHiBCQSCV69elXeoRXKxsYGK1asKO8wPmtMZoiI/p9EIvmkL5KPt7c3nJ2dER8fj6CgIDRr1gxJSUnQ19cv79AAAEFBQTAwMMhTHh4eju+///6TxjJ+/HgoKysXmUS1bt0638/mV199VeA6CQkJ+a4TEhJSykdRfHxqNhERKYS4uDh4enqiSpUqYpmZmVmZ7zczMxNqamolXt/ExKQUoyna/v37ERkZCQsLiyLr7t27F5mZmeL758+fo169eujTp0+R6/7zzz+oU6eO+L6gJ5Z/CuyZISJSICEhIWjRogUMDAxgbGyMLl26IC4uDgCwZcsW6OjoIDY2Vqzv5eUFe3t7pKenAwBOnjyJRo0aQV1dHebm5pg2bRqys7PF+q1bt8bYsWMxZcoUGBkZwczMDL6+vkXGdf/+fQwbNgyVKlWCtrY2XFxccPHiRXG5v78/qlevDjU1NdSsWRO//fabzPoSiQQbN25Ejx49oKWlBTs7Oxw8eBDA/3oCnj9/jmHDhkEikSAoKCjfYaYNGzbAysoKWlpa6NGjB5YtWybTWzJ06FB0795dZt/jx49H69atZc7BmDFj4O3tjUqVKsHd3R0AsGzZMtStWxfa2tqwsrLC6NGjkZaWBgA4ceIEvvvuOyQnJ4s9Fbnn7cNhpsTERHTr1g06OjrQ09ND37598fjxY3G5r68vnJ2d8dtvv8HGxgb6+vr49ttvkZqaWmQ7PHjwAGPHjsX69euL9fDV3DbOfYWGhkJLS6tYyYyxsbHMuh+T8H0sJjNERAokPT0d3t7eCA8PR1hYGJSUlNCjRw9IpVIMHjwYHh4eGDBgALKzsxESEoKAgABs27YN2traePDgATw8PODq6oqrV6/C398fgYGBmDNnjsw+goODoa2tjYsXL2LRokXw8/NDaGhogTGlpaWhTZs2ePToEfbv34+rV69iypQpkEqlAIB9+/Zh3LhxmDhxIm7cuIFRo0bhu+++w/Hjx2W2M3v2bPTt2xfXrl0Tj+PFixewsrJCUlIS9PT0sGLFCiQlJeGbb77JE8fZs2fh6emJcePGISoqCu7u7pg7d26JznNwcDBUVFRw9uxZBAQEAACUlJSwatUq3LhxA8HBwTh27BimTJkCAGjWrBlWrFgBPT09JCUlISkpCZMmTcqzXUEQ0L17d7x48QInT55EaGgo4uLi8hxPXFwc9u/fj7/++gt//fUXTp48iQULFhQas1QqxaBBgzBp0iTUqlWrRMcdGBiIb7/9Ftra2kXW/frrr2FqaormzZvjjz/+KNH+So3wmUtOThYACMnJyeUdykfJzMwU9u/fL2RmZpZ4GxEREYW+qHhKoy2odJS0Ld68eSPcunVLePPmjUw5gE/6Kg1PnjwRAAjXr18XBEEQXrx4IVSpUkX44YcfhMqVKwtz5swR6/70009CzZo1BalUKpb9+uuvgo6OjpCTkyMIgiC4ubkJLVq0kNmHq6urMHXq1AJjCAgIEHR1dYX//vtP3M77mjVrJowcOVKmrE+fPoKHh4f4HoAwc+ZM8X1aWpogkUiEw4cPi2X6+vrC5s2bxffHjx8XAAgvX74UBEEQvvnmG+Grr76S2c+AAQMEfX198f2QIUOEbt26ydQZN26c4ObmJr53c3MTnJ2dCzzeXLt27RKMjY3F95s3b5bZVy5ra2th+fLlgiAIwtGjRwVlZWUhMTFRXH7z5k0BgHDp0iVBEATBx8dH0NLSElJSUsQ6kydPFho3blxoPPPmzRPc3d2F7Oxs4eXLlzL7LY6LFy8KAISLFy8WWu/p06fCsmXLhIsXLwrh4eHCrFmzBCUlJeG3334r9r5yFfRdFAT5fr/ZM0NEpEDi4uLQv39/VKtWDXp6erC1tQXwbugCAAwNDREYGCgO60ybNk1cNzo6Gk2bNpWZfNy8eXOkpaXh/v37YpmTk5PMPs3NzfHkyRMAgKenJ3R0dMQXAERFRaF+/fowNDTMN+bo6Gg0b95cpqx58+aIjo6WKXt/v9ra2tDV1RX3WxwxMTFo1KiRTNmH74vLxcUlT9nx48fh7u4OS0tL6OrqYvDgwXj+/Lk4hFcc0dHRsLKygpWVlVhWu3ZtGBgYyJwPGxsb6Orqiu/fb4Nt27bJtMHp06cRGRmJlStXIigoqMSTywMDA+Ho6FjkOatUqRImTJiARo0awcXFBX5+fhg9ejQWLVpUov2WBiYzREQKpGvXrnj+/Dk2bNiAixcvivNS3p/EeerUKSgrK+Phw4cyP7SCIOT5oRMEAQBkyj+cayGRSMQhIz8/P0RFRYkvANDU1Cwy7vz2+2FZYfstjsKOL5eSklKesqysrDzb+nCY5e7du/Dw8ICjoyP27NmDyMhI/PrrrwWuL0+M+ZUXdi6+/vprmTZwcXHB6dOn8eTJE1StWhVqamqoVKkS7t69i4kTJ8LGxqbIuF6/fo0dO3ZgxIgRxT6W9zVp0kRmrtanxmSGiEhBPH/+HNHR0Zg5cybatWuHWrVq4eXLlzJ1zp07h0WLFuHPP/+Enp4evLy8xGW1a9fGuXPnZH7Mz507B11dXVhaWhYrBlNTU9SoUUN8Ae96VKKiovLEkqtWrVo4c+ZMnjhLOq+jIA4ODrh06ZJMWUREhMx7ExMTJCUlyZTlJmWFiYiIQHZ2NpYuXYomTZrA3t4eDx8+lKmjpqaGnJycQrdTu3ZtJCYm4t69e2LZrVu3kJycXOzzoaurK9MGmpqaGDRoEK5du4aoqChcvnwZp06dgoWFBSZPnowjR44Uuc1du3YhIyMDAwcOLFYMH7py5QrMzc1LtG5pYDJDRKQgDA0NYWxsjPXr1+POnTs4duwYvL29xeWpqakYNGgQvLy80LlzZ2zfvh27du3C7t27AQCjR4/GvXv34OXlhdu3b+PAgQPw8fGBt7c3lJRK/nPQr18/mJmZYcCAATh79iz+++8/7NmzB+fPnwcATJ48GUFBQVi3bh1iY2OxbNky7N27N98Jsh/Dy8sLhw4dwrJlyxAbG4uAgAAcPnxYpsejbdu2iIiIwJYtWxAbGwsfHx/cuHGjyG1Xr14d2dnZWL16Nf777z/89ttvWLdunUwdGxsbpKWlISwsDM+ePcPr16/zbKd9+/ZwcnLCgAEDcPnyZVy6dAmDBw+Gm5tbvkNbxWVsbAxHR0fxVbt2baiqqsLMzAw1a9YU6w0ePBjTp0/Ps35gYCC6d+8OY2PjPMvWrFmDdu3aie+Dg4Oxfft2REdHIyYmBkuWLMGqVatkEudPjckMEZGCUFJSwo4dOxAZGQlHR0dMmDABixcvFpePGzcO2tramDdvHgCgTp06WLhwITw9PfHgwQNYWlri0KFDuHTpEurVqwdPT08MHz4cM2fO/Ki41NTUEBISAhMTE3Tp0gV169bFggULoKysDADo3r07Vq5cicWLF6NOnToICAjA5s2bZS6HLg3NmzfHunXrsGzZMtSrVw8hISGYMGECNDQ0xDodO3bErFmzMGXKFLi6uiI1NRWDBw8uctvOzs5YtmwZFi5cCEdHR2zbtg3z58+XqdOsWTN4enrim2++gYmJSb5zSCQSCfbv3w9DQ0O0atUK7du3R7Vq1bBz586PPwHFkJiYmKdn6t9//8WZM2cwfPjwfNd59uyZePl/rjlz5sDFxQWurq7YsWMHNm3ahAkTJpRZ3EWRCB8OHn5C/v7+8Pf3R0JCAoB3X7yff/4ZnTt3BvBuDHH27NlYv349Xr58icaNG+PXX3+VuUlPUVJSUqCvr4/k5GTo6emVxWF8EllZWTh06BA8PDyKde+A/ERGRha6vGHDhiXa7pemNNqCSkdJ2+Lt27eIj4+Hra2tzA8dlZxUKkVKSgr09PQ+qpentI0cORK3b9/G6dOnyzuUT6aitkV+CvsuyvP7Xa5HWaVKFSxYsAARERGIiIhA27Zt0a1bN9y8eRMAsGjRIixbtgxr1qxBeHg4zMzM4O7uXqwbBxER0ZdnyZIluHr1Ku7cuYPVq1cjODgYQ4YMKe+wqIyVazLTtWtXeHh4wN7eHvb29pg7dy50dHRw4cIFCIKAFStWYMaMGejZsyccHR0RHByM169fY/v27eUZNhERVVCXLl2Cu7s76tati3Xr1mHVqlUlvkKHFEeFeTZTTk4Odu/ejfT0dDRt2hTx8fF49OgROnToINZRV1eHm5sbzp07h1GjRuW7nYyMDGRkZIjvU1JSALzrjpbn8rmKJjf2jzmGoi5xVOTz8ymVRltQ6ShpW2RlZUEQBEilUrku/aWC5c5YyD2v5WXHjh15yr60Nq4obVEcUqkUgiAgKytLnGOVS57vdbknM9evX0fTpk3x9u1b6OjoYN++feLlgwBQuXJlmfqVK1fG3bt3C9ze/PnzMXv27DzlR48ehZaWVukGXw4Ku6X4x/rwMkMqXFm2BclH3rZQUVGBmZkZ0tLSZO7PQh+P0wAqDkVoi8zMTLx58wanTp2SeUYYgHyvBitIuSczNWvWRFRUFF69eoU9e/ZgyJAhOHnypLi8ODdaet/06dNlLlVMSUmBlZUVOnTooPATgENDQ+Hu7l7iSadF3UvB2dm5RNv90pRGW1DpKGlbvH37Fvfu3YOOjg4nAJcSQRCQmpoKXV3dEt+BlkqHIrXF27dvoampiVatWuU7Abi4yj2ZUVNTE2+85OLigvDwcKxcuRJTp04FADx69EjmRjxPnjzJ01vzPnV1dairq+cpV1VV/Sx+eD7mOIqa1f45nJ9P6XP5TH0O5G2LnJwcSCQSKCkpVfirPRRF7nBG7nml8qNIbaGkpASJRJLvd1ie73SFO0pBEJCRkQFbW1vxceS5MjMzcfLkSTRr1qwcIyQiIqKKpFx7Zn766Sd07twZVlZWSE1NxY4dO3DixAmEhIRAIpFg/PjxmDdvHuzs7GBnZ4d58+ZBS0sL/fv3L8+wiYiIqAIp12Tm8ePHGDRoEJKSkqCvrw8nJyeEhITA3d0dADBlyhS8efMGo0ePFm+ad/ToUZkniRIREdGXrVyTmcDAwEKXSyQS+Pr6wtfX99MEREREpSIhIQG2tra4cuUKnJ2dceLECbRp0wYvX76EgYFBeYdHn5kKN2eGiKi8SCT/fdLXl6RZs2ZiL3x5s7GxwYoVK8p8PxkZGXB2doZEIinyalKJRJLv6/1nb30oKCgo33Xevn1bykdS8ZX71UxERPT5U1NTg5mZWYnWFQQBOTk5UFGpWD9ZmZmZUFNTK3D5lClTYGFhgatXrxa5rQ8f/nj48GEMHz4cvXr1KnQ9PT09xMTEyJRpaGh8cfdPYs8MEZECCQkJQYsWLWBgYABjY2N06dJFfKLxli1boKOjg9jYWLG+l5cX7O3tkZ6eDgA4efIkGjVqBHV1dZibm2PatGkyNytr3bo1xo4diylTpsDIyAhmZmbFGuq/dOkSWrVqBS0tLbi4uODKlSsyy0+cOAGJRIJXr14BAO7evYuuXbvC0NAQ2traqFOnDg4dOiRT98iRI3BxcYG6ujpOnz6NoUOHonv37jLbHT9+vMzTt1u3bo0xY8ZgzJgx4jmaOXOmeFfc1q1b4+7du5gwYYLYk5Frz549qFOnDtTV1WFjY4OlS5fK7MvGxgZz5szB0KFDoa+vj5EjRxZ4Pg4fPoyjR49iyZIlRZ47ADAzM5N5HThwAG3atEG1atUKXU8ikeRZ90vEZIaISIGkp6fD29sb4eHhCAsLg5KSEnr06AGpVIrBgwfDw8MDAwYMQHZ2NkJCQhAQEIBt27ZBW1sbDx48gIeHB1xdXXH16lX4+/sjMDAQc+bMkdlHcHAwtLW1cfHiRSxatAh+fn6F3mU5PT0dX3/9NWrUqIHw8HD4+vpi0qRJhR7Hjz/+iIyMDJw6dQrXr1/HwoULoaOjI1NnypQpmD9/PqKjo+Hk5FTscxQcHAwVFRVcvHgRq1atwvLly7Fx40YAwN69e1GlShX4+fkhKSlJ7BGJjIxE37598e233+L69evw9fXFrFmzEBQUJLPtxYsXw9HREZGRkZg1a1a++3/8+DFGjhyJ3377rUR3nn/8+DH+/vtvDB8+vMi6aWlpsLa2RpUqVdClS5c8SeSXomL12RERUaE+HHYIDAyEqakpbt26BUdHRwQEBMDJyQljx47F3r174ePjA1dXVwDA2rVrYWVlhTVr1kAikcDBwQEPHz7E1KlT8fPPP4s3WHNycoKPjw8AwM7ODmvWrEFYWJh4pemHtm3bhpycHKxZswZmZmaoW7cu7t+/jx9++KHA40hMTESvXr1Qt25dAMi3B8LPz6/AfRbGysoKy5cvh0QiQc2aNXH9+nUsX74cI0eOhJGREZSVlaGrqyvTi7Fs2TK0a9dOTFDs7e1x69YtLF68GEOHDhXrtW3bttBETRAEDB06FJ6ennBxcUFCQoLc8QcHB0NXVxc9e/YstJ6DgwOCgoJQt25dpKSkYOXKlWjevDmuXLlS6M1lP0fsmSEiUiBxcXHo378/qlWrBj09Pdja2gJ4lxwAgKGhIQIDA+Hv74/q1atj2rRp4rrR0dFo2rSpzNBK8+bNkZaWhvv374tlH/aCmJub48mTJwAAT09P6OjoiK/c7darV0+mF6Jp06aFHsfYsWMxZ84cNG/eHD4+Prh27VqeOi4uLsU6Jx9q0qSJzDE2bdoUsbGxyMnJKXCd6OhoNG/eXKasefPmedZ7P6b8zsXq1auRkpKC6dOnlyh2ANi0aRMGDBhQ5KM2mjRpgoEDB6JevXpo2bIldu3aBXt7e6xZs6bE+1ZUTGaIiBRI165d8fz5c2zYsAEXL17ExYsXAUBmwuepU6egrKyMhw8finNlgPyfbZc7l+T98g9vIy+RSMRb5Pv5+SEqKkp8vb8NeYwYMQL//fcfBg0ahOvXr8PFxQWrV6+WqaOtrS3zXklJKc++Suvp9YWdm4Jiyu9cHDt2DBcuXIC6ujpUVFRkHtczZMiQIuM4ffo0YmJiMGLECLmPQUlJCa6urjJzpr4UTGaIiBTE8+fPER0djZkzZ6Jdu3aoVasWXr58KVPn3LlzWLRoEf7880/o6enBy8tLXFa7dm2cO3dO5kf63Llz0NXVhaWlZbFiMDU1RY0aNcRX7navXr2KN2/eiPUuXLhQ5LasrKzg6emJvXv3YuLEidiwYUOh9U1MTPJc9ZPfJc8f7vvChQuws7ODsrIygHdXVn3YS1O7dm2cOXNGpuzcuXOwt7cX1/tQfudi1apVuHr1qpjg5E5q3rlzJ+bOnVvo8QHvhg0bNmyIevXqFVn3Q4IgICoqSuZ5hl8KJjNERArC0NAQxsbGWL9+Pe7cuYNjx47B29tbXJ6amopBgwbBy8sLnTt3xvbt27Fr1y7s3r0bADB69Gjcu3cPXl5euH37Ng4cOAAfHx94e3t/1AMJ+/fvDyUlJXh5eeHWrVs4dOhQkVfxjB8/HkeOHEF8fDwuX76MY8eOoVatWoWu07ZtW0RERGDLli2IjY2Fj48Pbty4kafevXv34O3tjZiYGPz+++9YvXo1xo0bJy63sbHBqVOn8ODBAzx79gwAMHHiRISFheGXX37Bv//+i+DgYKxZs6bIicwfqlq1KhwdHcWXvb09AKB69eqoUqWKWM/BwQH79u2TWTclJQW7d+8usFdm8ODBMsNXs2fPxpEjR/Dff/8hKioKw4cPR1RUFEaNGiVXzJ8DJjNERApCSUkJO3bsQGRkJBwdHTFhwgSZm6qNGzcO2tramDdvHgCgTp06WLhwITw9PfHgwQNYWlri0KFDuHTpEurVqwdPT08MHz4cM2fO/Ki4dHR0cODAAcTExKBhw4aYMWMGFi5cWOg6OTk5+PHHH1GrVi106tQJNWvWxNq1awtdp2PHjpg1axamTJkCV1dXpKamYvDgwXnqDR48GG/evEGjRo3w448/wsvLC99//7243M/PDwkJCahevTpMTEwAAA0aNMCuXbuwY8cOODo64ueff4afn5/M5N/SFBMTg+TkZJmyHTt2QBAE9OvXL991EhMTZXqmXr16he+//x61atVChw4d8ODBA5w6dQqNGjUqk5grMolQksFOBZKSkgJ9fX0kJydDT0+vvMMpsaysLBw6dAgeHh5yPRb9fZGRkYUub9iwYYm2+6Upjbag0lHStnj79i3i4+Nha2tb5CRLKh6pVIqUlBTo6el9VC/Px2rdujWcnZ0/yR1+K6qK0hbFUdh3UZ7f74p9lERERERFYDJDRERECo03zSMios/GiRMnyjsEKgfsmSEiIiKFxmSGiIiIFBqTGSIiIlJoTGaIiIhIoTGZISIiIoXGZIaIiIgUGpMZIiKiTywhIQESiSTfB2WS/HifGSKi/yfZXfjzhEqb0GfqJ93f5y4hIQG2tra4cuUKnJ2dyzucQllZWSEpKQmVKlX6pPudP38+fvrpJ4wbN67QRz4MHToUwcHBecpr166NmzdvFrieRCLJU+bv7w9PT88SxVtcTGaIiIhKkSAIyMnJgYpKwT+xysrKMDMz+4RRAeHh4Vi/fj2cnJyKrLty5UosWLBAfJ+dnY169eqhT58+Ra67efNmdOrUSXyvr69fsoDlwGEmIiIFEhISghYtWsDAwADGxsbo0qUL4uLiAABbtmyBjo4OYmNjxfpeXl6wt7dHeno6AODkyZNo1KgR1NXVYW5ujmnTpiE7O1us37p1a4wdOxZTpkyBkZERzMzM4OvrW2RcDx48wLBhw2BsbAxjY2N069YNCQkJAIAjR45AQ0MDr169klln7NixcHNzE9+fO3cOrVq1gqamJqysrDB27FgxbgCwsbHBvHnzMGzYMOjq6qJq1apYv369uNzW1hYAUL9+fUgkErRu3RrAu7sCN2rUCNra2jAwMEDz5s1x9+5dcT1/f39Ur14dampqqFmzJn777TdxWX7DQa9evYJEIhHvNnzixAlIJBIcOXIELi4uUFdXx+nTpyGVSrFw4ULUqFED6urqqFq1KubOnZvvdnO3ERYWBhcXF2hpaaFZs2aIiYmROWdz5syBqakpdHV1MWLECEybNq1YvVBpaWkYMGAANmzYAENDwyLr6+vrw8zMTHxFRETg5cuX+O6774pc18DAQGZdTU3NItf5WExmiIgUSHp6Ory9vREeHo6wsDAoKSmhR48ekEqlGDx4MDw8PDBgwABkZ2cjJCQEAQEB2LZtG7S1tfHgwQN4eHjA1dUVV69ehb+/PwIDAzFnzhyZfQQHB0NbWxsXL17EokWL4Ofnh9DQ0AJjev36Ndq1awdtbW2cOHECZ86cgY6ODjp16oTMzEy0b98eBgYG2LNnj7hOTk4Odu3ahQEDBgAArl+/jo4dO6Jnz564du0adu7ciTNnzmDMmDEy+1q6dClcXFxw5coVjB49Gj/88ANu374NALh06RIA4J9//kFSUhL27t2L7OxsdO/eHW5ubrh27RrOnz+P77//XhwO2bdvH8aNG4eJEyfixo0bGDVqFL777jscP35c7raZMmUK5s+fj+joaDg5OWH69OlYuHAhZs2ahVu3bmH79u2oXLlyoduYMWMGli5dioiICKioqGDYsGHism3btmHu3LlYuHAhIiMjUbVqVfj7+xcrth9//BFfffUV2rdvL/dxAUBgYCDat28Pa2vrIuuOGTMGlSpVgqurK9atWwepVFqifcqDw0xERAqkV69eMu8DAwNhamqKW7duwdHREQEBAXBycsLYsWOxd+9e+Pj4wNXVFQCwdu1aWFlZYc2aNZBIJHBwcMDDhw8xdepU/Pzzz1BSevf3rZOTE3x8fAAAdnZ2WLNmDcLCwuDu7p5vTDt27ICSkhJWrVoFfX19KCkpYfPmzTAwMMCJEyfQoUMHfPPNN9i+fTuGDx8OAAgLC8PLly/FYYvFixejf//+GD9+vLjfVatWwc3NDf7+/tDQ0AAAeHh4YPTo0QCAqVOnYvny5Thx4gQcHBxgYmICADA2NhaHcF68eIHk5GR06dIF1atXBwDUqlVLjH3JkiUYOnSouE1vb29cuHABS5YsQZs2beRqGz8/P/EcpaamYuXKlVizZg2GDBkCAKhevTpatGhR6Dbmzp0r9lZNmzYNX331Fd6+fQsNDQ2sXr0aw4cPF3tHfv75Zxw9ehRpaWmFbnPHjh24fPkywsPD5TqeXElJSTh8+DC2b99eZN1ffvkF7dq1g6amJsLCwjBx4kQ8e/YMM2fOLNG+i4s9M0RECiQuLg79+/dHtWrVoKenJw6tJCYmAgAMDQ0RGBgoDp1MmzZNXDc6OhpNmzaVmaTZvHlzpKWl4f79+2LZh3MqzM3N8eTJEwCAp6cndHR0xBcAREZG4s6dO7CysoKenh50dHRgZGSEt2/fikNgAwYMwIkTJ/Dw4UMA73oZPDw8xCGPyMhIBAUFyWy7Y8eOkEqliI+Pzzc2iUQCMzMzMbb8GBkZYejQoejYsSO6du2KlStXIikpSeacNG/eXGad5s2bIzo6usBtFsTFxUVmuxkZGWjXrp1c23j/+MzNzQFAPL6YmBg0atRIpv7770+fPg0dHR3o6emhSpUq2LZtG+7du4dx48Zh69atYkIor6CgIBgYGKB79+5F1p05cyaaNm0KZ2dnTJw4EX5+fli8eHGJ9isP9swQESmQrl27wsrKChs2bICFhQWkUikcHR2RmZkp1jl16hSUlZXx8OFDpKenQ09PD8C7iakfXm0iCAIA2atQVFVVZepIJBJxqMDPzw+TJk2SWS6VStGwYUP4+/tDR0dH7OEBIPaWNGrUCNWrV8eOHTvwww8/YN++fdi8ebPMNkaNGoWxY8fmOeaqVasWK7aCbN68GWPHjkVISAh27tyJmTNnIjQ0FE2aNMlz7LnnJLcs91hyzxMAZGVl5bsfbW1t8d8lnSfy/vHlxvD+8RXUfsC7ZCoqKgpSqRRpaWmoXr06jh8/jidPnqBhw4ZivZycHJw6dQpr1qxBRkYGlJWVC4xHEARs2rQJgwYNgpqamtzH06RJE6SkpODx48dFDrF9DPbMEBEpiOfPnyM6OhozZ85Eu3btUKtWLbx8+VKmzrlz57Bo0SL8+eef0NPTg5eXl7isdu3aOHfunMwP4Llz56CrqwtLS8tixWBqaooaNWqILwBo0KABYmNjUalSJZllNWrUkLmSpX///ti2bRv+/PNPKCkp4auvvhKXNWjQADdv3syzfo0aNYr9I5pbLycnJ8+y+vXrY/r06Th37hwcHR3FIZNatWrhzJkzMnXPnTsnDkXlJmPv9+YU594wdnZ24lBLaalZs6Y4LyhXRESE+G9NTU3xnFWrVg26urpo164drl+/jqioKPHl4uKCAQMGICoqqtBEBng3YfzOnTvi8KC8rly5Ag0NDRgYGJRo/eJiMkNEpCAMDQ1hbGyM9evX486dOzh27Bi8vb3F5ampqRg0aBC8vLzQuXNnbN++Hbt27cLu3bsBAKNHj8a9e/fg5eWF27dv48CBA/Dx8YG3t7dMb4q8BgwYgEqVKmHAgAE4ffo04uPjcfLkSYwbN05m+GrAgAG4fPky5s6di969e8sMe0ydOhXnz5/Hjz/+iKioKMTGxuLgwYMyyVhRTE1NoampiZCQEDx+/BjJycmIj4/H9OnTcf78edy9exdHjx7Fv//+KyYrkydPRlBQENatW4fY2FgsW7YMe/fuFXufNDU10aRJEyxYsAC3bt3CqVOnijX/Q0NDA1OnTsWUKVOwZcsWxMXF4cKFCwgMDCz28XzIy8sLgYGBCA4ORmxsLObMmYNr167le2+XXLq6unB0dJR5aWtrw9jYGI6OjmK96dOnY/DgwXnWDwwMROPGjWXq5tq3bx8cHBzE93/++Sc2bNiAGzduIC4uDhs3bsSMGTPw/fffQ11dvcTHXRxMZoiIFISSkhJ27NiByMhIODo6YsKECTLzEcaNGwdtbW3MmzcPAFCnTh0sXLgQnp6eePDgASwtLXHo0CFcunQJ9erVg6enJ4YPH/7RkzO1tLRw4sQJVKlSBb1790atWrUwbNgwvHnzRhziAt71Vri6uuLatWviVUy5nJyccPLkScTGxqJly5aoX78+Zs2aJc4bKQ4VFRWsWrUKAQEBsLCwQLdu3aClpYXbt2+jV69esLe3x/fff48xY8Zg1KhRAIDu3btj5cqVWLx4MerUqYOAgABs3rxZvKwbADZt2oSsrCy4uLhg3Lhxea7+KsisWbMwceJE/Pzzz6hVqxa++eabQuf3FGXAgAGYPn06Jk2ahAYNGiA+Ph5Dhw4t8VyY9yUlJYnzrnIlJydjz549BfbKJCcny1w6rqqqirVr16Jp06ZwcnLCypUr4efnh6VLl350fEWRCO/3N36GUlJSoK+vj+TkZJkvlaLJysrCoUOH4OHhkWfMuLgiIyMLXf7+mCoVrDTagkpHSdvi7du3iI+Ph62tban8ENC7eR0pKSnQ09P7qF4eko+7uzvMzMxk7o2jSG1R2HdRnt9vTgAmIiJSAK9fv8a6devQsWNHKCsr4/fff8c///xT6D2AvhRMZoiIiBSARCLBoUOHMGfOHGRkZKBmzZrYs2dPiW+E9zlhMkNERKQANDU18c8//5R3GBVSxR5MIyIiIioCkxkiIiJSaExmiIiISKExmSEiIiKFxmSGiIiIFBqTGSIiIlJoTGaIiIjyERQUVOYPSKTSUa7JzPz58+Hq6gpdXV2Ympqie/fuMs95AIChQ4dCIpHIvHIf205EVJokn/h/VLF98803+Pfffz/pPgVBQOfOnSGRSLB///5C69rY2OT5fZRIJBgzZkyB65w4cSLfdW7fvl3KR/JpletN806ePIkff/wRrq6uyM7OxowZM9ChQwfcunUL2traYr1OnTph8+bN4vviPg6eiIiopDQ1NaGpqflJ97lixYpCn4L9vvDwcOTk5Ijvb9y4AXd3d/Tu3bvIdWNiYmSed2RiYiJ/sBVIufbMhISEYOjQoahTpw7q1auHzZs3IzExMc8DEdXV1WFmZia+jIyMyiliIqLyFRISghYtWsDAwADGxsbo0qUL4uLiAABbtmyBjo4OYmNjxfpeXl6wt7dHeno6gHd/RDZq1Ajq6uowNzfHtGnTkJ2dLdZv3bo1xo4diylTpsDIyAhmZmbw9fUtNKaEhAQoKytj3759cHNzg6amJlxdXfHvv/8iPDwcLi4u0NHRQadOnfD06VOZdTdv3oxatWpBQ0MDDg4OWLt2rbgsMzMTY8aMgbm5OTQ0NGBjY4P58+eLy319fVG1alWoq6vDwsICY8eOFZdt3boVLi4u0NXVhZmZGfr375/nidUHDx6EnZ0dNDU10aZNGwQHB0MikeDVq1cA8g4z+fr6wtnZGb/99htsbGygr6+Pb7/9FqmpqWKd1NRUDBgwANra2jA3N8fy5cvRunVrjB8/vtBzCABXr17FsmXLsGnTpiLrAu8SkPd/G//66y9Ur14dbm5uRa5ramoqs66ysnKx9llRVag5M8nJyQCQJ1k5ceIETE1NYW9vj5EjR37UI9SJiBRZeno6vL29ER4ejrCwMCgpKaFHjx6QSqUYPHgwPDw8MGDAAGRnZyMkJAQBAQHYtm0btLW18eDBA3h4eMDV1RVXr16Fv78/AgMDMWfOHJl9BAcHQ1tbGxcvXsSiRYvg5+dXrIcZLliwAD/99BMuX74MFRUV9OvXD1OmTMHKlStx+vRpxMXF4eeffxbrb9iwATNmzMDcuXMRHR2NefPmYdasWQgODgYArFq1CgcPHsSuXbsQExODrVu3wsbGBgDwxx9/YPny5QgICEBsbCz279+PunXritvOzMzEL7/8gqtXr2L//v2Ij4/H0KFDxeUJCQno3bs3unfvjqioKIwaNQozZswo8hjj4uKwf/9+/PXXX/jrr79w8uRJLFiwQFzu7e2Ns2fP4uDBgwgNDcXp06dx+fLlIrf7+vVr9OvXD2vWrIGZmVmR9T+UmZmJrVu3YtiwYcXq2alfvz7Mzc3Rrl07HD9+XO79VTQV5tlMgiDA29sbLVq0gKOjo1jeuXNn9OnTB9bW1oiPj8esWbPQtm1bREZGQl1dPc92MjIykJGRIb5PSUkBAGRlZSErK6vsD6SM5Mb+MccglUqLtQ8qXGm0BZWOkrZFVlYWBEGAVCqV/V584j/vivpO5qdHjx4y7zds2AAzMzPcuHEDjo6O8Pf3h7OzM7y8vLBv3z78/PPPaNiwIaRSKX799VdYWVlh1apVkEgksLe3x4MHDzBt2jTMnDkTSkrvToCTkxNmzZoFAKhevTrWrFmDf/75B+3atSv0OMaMGYMOHTpAIpHAy8sLAwYMQGhoKJo2bQoAGDZsGIKDg8X6v/zyCxYvXozu3bsDAKytrXHz5k0EBARg0KBBuHv3Luzs7NCsWTNIJBJYWVmJ+7t79y7MzMzQtm1bqKqqokqVKnBxcRG3/X7iYmNjgxUrVqBJkyZISUmBjo4O/P39UbNmTSxcuBAAYGdnh+vXr2PevHni5yJ3W7n/n/uZ2bRpE3R1dQEAAwcORFhYGH755RekpqYiODgYW7duRZs2bQAAgYGBqFKlirhuQcaPH4+mTZuia9euMvst7mdk7969ePXqFQYPHgxBEGTifV/lypWxbt06NGzYEBkZGdi6dSvatWuHY8eOoVWrVsXaV2mSSqUQBAFZWVl5eofk+V5XmGRmzJgxuHbtGs6cOSNT/s0334j/dnR0hIuLC6ytrfH333+jZ8+eebYzf/58zJ49O0/50aNHoaWlVfqBf2Jl+aj3hw8fltm2P0dl2RYkH3nbQkVFBWZmZkhLS0NmZub/FhiUblxFyf1jSx7x8fGYO3cuIiIi8OLFC/HH6vbt26hatSqUlZWxcuVK9OrVC40aNcIPP/wg7uf69eto2LChzLCIk5MT0tLSEB0dDSsrK2RnZ8PBwUEmtkqVKuHBgwdISUnBhAkTsHv3bnHZ/fv3kZaWBgCoU6eOuO3cH3sbGxtxW3p6enj8+DFSUlLw7Nkz3Lt3DyNHjsSoUaPE7WVnZ0NPTw8pKSno3bs3evTogZo1a6Jdu3bo2LEj2rZtCwDo2LEjli9fjmrVqqF9+/Zwd3dHp06doKLy7mft2rVrWLBgAa5fv45Xr16J5+nWrVtwcHDAzZs3Ua9ePZnjrFOnDoB3Q0VKSkp4+/YtBEEQ62RkZKBq1aoyZYaGhnj06BFSUlJw/fp1ZGVloVatWuJyiUSCGjVqIDMzEykpKVi6dCmWL18u7vP8+fO4fv06wsLCcPLkSZl43rx5U+zPyIYNG9C+fXvo6OiIbfB+O+cyNzeX+V2dP38+4uPjsXDhQjg7OxdrX6UpMzMTb968walTp2SGO4F3vVXFVSGSGS8vLxw8eBCnTp1ClSpVCq1rbm4Oa2trmTHh902fPh3e3t7i+5SUFFhZWaFDhw4yk50UTVZWFkJDQ+Hu7g5VVdUSbSMqKqrQ5eXxQVZEpdEWVDpK2hZv377FvXv3oKOjAw0NjTKMsHAl+W/SgAEDUKVKFWzYsAEWFhaQSqVwcnKCioqKuL3IyEgoKyvjyZMnUFZWFsuVlZWhpqYms9/ciy309PSgp6cHFRUVaGtry9RRVVUVtzN//nxMnz5d5hh0dHTEerq6upBIJOJ2jYyMxG1pampCEATo6enhzZs3AICAgAA0btxY5hhz99WyZUv8999/OHz4MMLCwjBs2DC0a9cOu3fvRu3atRETE4PQ0FCEhYVh8uTJWLt2LY4fP47MzEz06tUL7u7u2Lp1K0xMTJCYmIjOnTuLx5/fucid7Kurqws9PT1oaGhAIpGIddTV1aGurp7vOnp6ennOZS4lJSVxX+PGjcOgQYPEZTY2Nti4cSPi4+PFIbRcgwcPRsuWLXHs2LECPw8AcPfuXZw4cQJ//PEH9PT0IAgCUlNTxbYoSosWLbBt27Zy+Y18+/YtNDU10apVqzzfRXmS/XJNZgRBELtCT5w4AVtb2yLXef78Oe7duwdzc/N8l+d+2D6kqqr6WfzwfMxx5HYhF7ZtKr7P5TP1OZC3LXJyciCRSKCkpFTk96Isybvv58+fIzo6GgEBAWjZsiUAiL3Zucdy7tw5LF68GH/++SemTZuGcePGiXNQ6tSpgz179oiX4wLAhQsXoKurCysrKzGe3HOTK7e+kpKSOGG0oOP48Lx++O/c/zc3N4elpSUSEhJkftw/ZGBggH79+qFfv37o06cPOnXqhFevXsHIyAja2tro3r07unfvjjFjxog9LoIg4NmzZ1i4cKE4NJU7byU3nlq1auHQoUMysX9Y58O4c8/Zh8ebW2ZnZwdVVVVERETA2toawLsf5NjYWLi5uUFJSQmVKlVCpUqVZI5x+vTpGDlypExZ3bp1sXz5cnTt2rXIz0lwcDBMTU3Furm9UB+2Y0GioqJgbm5eLt8FJSUlSCSSfL/D8nynyzWZ+fHHH7F9+3YcOHAAurq6ePToEQBAX18fmpqaSEtLg6+vL3r16gVzc3MkJCTgp59+QqVKlfKMGxMRfe4MDQ1hbGyM9evXw9zcHImJiZg2bZq4PDU1FYMGDYKXlxc6d+6MqlWrwsXFBV26dEGfPn0wevRorFixAl5eXhgzZgxiYmLg4+MDb2/vcvkh8/X1xdixY6Gnp4fOnTsjIyMDERERePnyJby9vbF8+XKYm5vD2dkZSkpK2L17N8zMzGBgYICgoCDk5OSgcePG0NLSwm+//QZNTU1YW1tDKpVCTU0Nq1evhqenJ27cuIFffvlFZt+jRo3CsmXLMHXqVAwfPhxRUVEICgoCgGJfGv0hXV1dDBkyBJMnT4aRkRFMTU3h4+Mj/mAXJL8EEQCqVq0q80d+u3bt0KNHD5n7yEilUmzevBlDhgwRh9jeN336dDx48ABbtmwB8O7SbxsbG9SpU0ecNLxnzx7s2bOnRMdcUZTr1Uz+/v5ITk5G69atYW5uLr527twJ4F1X4/Xr19GtWzfY29tjyJAhsLe3x/nz58XxWCKiL4WSkhJ27NiByMhIODo6YsKECVi8eLG4fNy4cdDW1sa8efMAvOuJWbhwITw9PfHgwQNYWlri0KFDuHTpEurVqwdPT08MHz4cM2fOLJfjGTFiBDZu3IigoCDUrVsXbm5uCAoKEn/AdXR0sHDhQri4uMDV1RUJCQlib4qBgQE2bNiA5s2bw8nJCWFhYfjzzz9hbGwMExMTBAUFicNRCxYswJIlS2T2bWtriz/++AN79+6Fk5MT/P39xauZ8uvdL65ly5ahadOm6NKlC9q3b4/mzZuLl55/rLi4ODx79kym7J9//kFiYiKGDRuW7zpJSUlITEwU32dmZmLSpElwcnJCy5YtcebMmQLnoCoSiZA77fkzlZKSAn19fSQnJyv8nJlDhw7Bw8OjxEMbH96/50MNGzYs0Xa/NKXRFlQ6StoWb9++RXx8PGxtbct1zsznRCqVIiUlBXp6euU6dPcx5s6di3Xr1uHevXults309HRYWlpi6dKlGD58eKlttzCK1BaFfRfl+f2uEBOAiYiIPrW1a9fC1dUVxsbGOHv2LBYvXlzoowCK48qVK7h9+zYaNWqE5ORk+Pn5AQC6detWGiFTAZjMEBHRFyk2NhZz5szBixcvULVqVUycOFHmSq2SWrJkCWJiYqCmpoaGDRvi9OnTeSb9UuliMkNERF+k5cuXy9zzpTTUr1+/yCF9Kn0VezCNiIiIqAhMZoiIiEihMZkhIiIihcZkhoiIiBRaqSQzr169Ko3NEBEREclN7mRm4cKF4h16AaBv374wNjaGpaUlrl69WqrBERERERVF7mQmICBAfHBXaGgoQkNDcfjwYXTu3BmTJ08u9QCJiIhyJSQkQCKRICoqqtjrtG7dGuPHjxff29jYYMWKFeJ7iUSC/fv3l1qM9OnJfZ+ZpKQkMZn566+/0LdvX3To0AE2NjZ5HuNORKRQ1pfsAYMl9v1n/TQZhZGUlARDQ8NPus8dO3agX79+6NatW6GJlK+vL2bPnp2nXEtLC+np6QWu5+TklOexDFOnTsWCBQtKHHNFJncyY2hoiHv37sHKygohISGYM2cOAEAQBOTk5JR6gERERGUpvydWl6W7d+9i0qRJaNmyZZF1J02aBE9PT5mydu3awdXVtch1Z8+eje+//158r6OjI3+wCkLuYaaePXuif//+cHd3x/Pnz9G5c2cAQFRUFGrUqFHqARIR0f+EhISgRYsWMDAwgLGxMbp06YK4uDgAwJYtW6Cjo4PY2FixvpeXF+zt7cW/4k+ePIlGjRpBXV0d5ubmmDZtGrKzs8X6rVu3xtixYzFlyhQYGRnBzMwMvr6+hcaUkJAAZWVl7Nu3D25ubtDU1ISrqyv+/fdfhIeHw8XFBTo6OujUqROePn0qrieVSuHn54cqVapAXV0dzs7OCAkJkdn2pUuXUL9+fWhoaMDFxQVXrlzJs/9bt27Bw8MDOjo6qFy5MgYNGpTn6dKFeX+YKXcYa+/evWjTpg20tLRQr149nD9/XmadDRs2wMrKClpaWujRoweWLVsGAwODIveVk5ODAQMGYPbs2ahWrVqR9XV0dGBmZia+Hj9+jFu3bhXroZW6uroy6zKZec/y5csxZswY1K5dG6GhoeLJSUpKwujRo0s9QCIi+p/09HR4e3sjPDwcYWFhUFJSQo8ePSCVSjF48GB4eHhgwIAByM7ORkhICAICArBt2zZoa2vjwYMH8PDwgKurK65evQp/f38EBgaKPey5goODoa2tjYsXL2LRokXw8/NDaGhokbEtWLAAP/30Ey5fvgwVFRX069cPU6ZMwcqVK3H69GnExcXh559/FuuvXLkSS5cuxZIlS3Dt2jV07NgRX3/9tZiMpaeno0uXLqhZsyYiIyPh6+uLSZMmyewzKSkJbm5ucHZ2RkREBEJCQvD48WP07dv3o87zjBkzMGnSJERFRcHe3h79+vUTk76zZ8/C09MT48aNQ1RUFNzd3TF37txibdfPzw8mJiYlfoL2xo0bYW9vX6xenUWLFsHY2BjOzs6YO3cuMjMzS7RPRSD3MJOqqmqeDxMAmclVRERUNnr16iXzPjAwEKamprh16xYcHR0REBAAJycnjB07Fnv37oWPj484JLF27VpYWVlhzZo1kEgkcHBwwMOHDzF16lT8/PPPUFJ69/etk5MTfHx8AAB2dnZYs2YNwsLC4O7uXmhsY8aMQceOHaGkpIRx48ahX79+CAsLQ/PmzQEAw4cPR1BQkFh/yZIlmDp1Kr799lsA766WPX78OFasWIFff/0V27ZtQ05ODjZt2gQtLS3UqVMH9+/fxw8//CBuw9/fHw0aNMC8efPEsk2bNsHKygr//vsv7O3tS3SeJ02ahK+++grAu+GaOnXq4M6dO3BwcMDq1avRuXNn8bfQ3t4e586dw19//VXoNs+ePYvAwEC5Ji+/LyMjA9u2bcO0adOKrOvp6YmmTZvC2NgYly5dwvTp0xEfH4+NGzeWaN8VXYnuM/Pbb7+hRYsWsLCwwN27dwEAK1aswIEDB0o1OCIikhUXF4f+/fujWrVq0NPTg62tLQAgMTERwLt5jYGBgfD390f16tVlfviio6PRtGlTSCT/m+jcvHlzpKWl4f79+2KZk5OTzD7Nzc3x5MkTAO9+JHV0dMTX++rUqSP+u3LlygCAunXrypTlbiclJQUPHz4UE53344mOjhbjrVevHrS0tMTlTZs2lakfGRmJ48ePy8Tk4OAgnquSev8cmJubA4AYe0xMDBo1aiRT//33iYmJMvHMmzcPqampGDhwIDZs2FDiJ2jv3bsXqampGDx4cJF1R48eDTc3Nzg5OWHEiBFYt24dAgMD8fz58xLtu6KTu2fG398fP//8M8aPH4+5c+eKk34NDAywYsUKdOvWrdSDJCKid7p27QorKyts2LABFhYWkEqlcHR0lBlCOHXqFJSVlfHw4UOkp6dDT08PwLsLNd5PZHLLAMiUq6qqytSRSCSQSqUA3g2T5Nc7/+F6udv7sCx3Ox/Wez+e3LLc2AojlUrRtWtXLFy4MM+y3CSkJPI7ltzYCzuPAGBhYSHT+2JkZIS4uDgkJCSga9euMrEDgIqKCmJiYlC9evVCY9q4cSO6dOlSognLTZo0AQDcuXMHxsbGcq9f0cndM7N69Wps2LABM2bMgLKyslju4uKC69evl2pwRET0P8+fP0d0dDRmzpyJdu3aoVatWnj58qVMnXPnzmHRokX4888/oaenBy8vL3FZ7dq1ce7cOZkf3nPnzkFXVxeWlpbFisHU1BQ1atQQXyWlp6cHCwsLnDlzJk/8tWrVEuO9evUq3rx5Iy6/cOGCTP0GDRrg5s2bsLGxkYmrRo0a0NbWLnF8hXFwcMClS5dkyiIiIsR/q6ioyMRhZGQEBwcHXL9+HVFRUeLr66+/Rps2bRAVFSXe8qQg8fHxOH78eInn2uROnP6YBK8ikzuZiY+PR/369fOUq6urF3rNOxERfRxDQ0MYGxtj/fr1uHPnDo4dOwZvb29xeWpqKgYNGgQvLy907twZ27dvx65du7B7924A74Ye7t27By8vL9y+fRsHDhyAj48PvL29xfkyn9LkyZPFu8rHxMRg2rRpiIqKwrhx4wAA/fv3h5KSEoYPH45bt27h0KFDWLJkicw2fvzxR7x48QL9+vXDpUuX8N9//+Ho0aMYNmxYmd0uxMvLC4cOHcKyZcsQGxuLgIAAHD58OE9vzfs0NDTg6Ogo8zIwMICuri4cHR2hpqYGAFizZg3atWuXZ/1NmzbB3NxcvIL4fZcuXYKDgwMePHgAADh//jzWrl2LqKgoxMfHY9euXRg1ahS+/vprVK1atZTOQsUi9zCTra0toqKiYG1tLVN++PBh1K5du9QCIyL65Cr4TeyUlJSwY8cOjB07Fo6OjqhZsyZWrVqF1q1bAwDGjRsHbW1tcTJsnTp1sHDhQnh6eqJZs2awtLTEoUOHMHnyZNSrVw9GRkYYPnw4Zs6cWS7HM3bsWKSkpGDixIl48uQJateujYMHD8LOzg7Au8uS//zzT3h6eqJ+/fqoXbs2Fi5cKDMJ2sLCAmfPnsXUqVPRsWNHZGRkwNraGp06dSqzBK158+ZYt24dZs+ejZkzZ6Jjx46YMGEC1qxZ89HbfvbsWZ65PlKpFEFBQRg6dKjMiEiu169fIyYmBllZWQDedS7s27cPixYtEs/HyJEjMWXKlI+Or6KSCMUZlHzP5s2bMWvWLCxduhTDhw/Hxo0bERcXh/nz52Pjxo3irPSKIiUlBfr6+khOThbHjRVRVlYWDh06BA8Pjzzj2cUVGRlZ6PKGDRuWaLtfmtJoCyodJW2Lt2/fIj4+Hra2ttDQ0CjDCL8cUqkUKSkp0NPTK5denvI2cuRI3L59G6dPny7vUBSqLQr7Lsrz+y13z8x3332H7OxsTJkyBa9fv0b//v1haWmJlStXVrhEhoiIqCwsWbIE7u7u0NbWxuHDhxEcHIy1a9eWd1hfLLmTGeBdBjpy5Eg8e/YMUqkUpqampR0XERFRhXXp0iUsWrQIqampqFatGlatWoURI0aUd1hfrBIlM8C76+1jYmIgkUggkUhgYmJSmnERERFVWLt27SrvEOg9cg+mpaSkYNCgQbCwsICbmxtatWoFCwsLDBw4EMnJyWURIxEREVGB5E5mRowYgYsXL+Lvv//Gq1evkJycjL/++gsREREYOXJkWcRIREREVCC5h5n+/vtvHDlyBC1atBDLOnbsiA0bNqBTp06lGhwRERFRUeTumTE2Noa+vn6ecn19fRgaGpZKUERERETFJXcyM3PmTHh7eyMpKUkse/ToESZPnoxZs2aVanBERERERSnRgybv3LkDa2tr8bbIiYmJUFdXx9OnTxEQECDWvXz5culFSkRERJQPuZOZ7t27l0EYRERERCUjdzLj4+NTFnEQEZW7oh75Udo+l0eIJCQkwNbWFqdOnULz5s1LbbsSiQT79u2T64/oHTt2oF+/fujWrRv2799fYD1fX1/Mnj07T7mWllahD022sbHB3bt3ZcqmTp2KBQsWFDtGKn1yz5kZOnQoTp06VRaxEBERldjdu3cxadIktGzZssi6kyZNQlJSksyrdu3a6NOnT5Hr+vn5yaxXXg/qpP+RO5lJTU1Fhw4dYGdnh3nz5omPHCciorIXEhKCFi1awMDAAMbGxujSpYv4lOUtW7ZAR0cHsbGxYn0vLy/Y29uLvQ0nT55Eo0aNoK6uDnNzc0ybNg3Z2dli/datW2Ps2LGYMmUKjIyMYGZmBl9f30JjsrW1BQC0atUKysrK4lO8gXcPJ65VqxY0NDTg4OAg8/yizMxMjBkzBubm5tDQ0ICNjQ3mz58P4F0PCAD06NEDEolEfF+QnJwcDBgwALNnz0a1atUKrQu8eyK3mZmZ+Hr8+DFu3bqF4cOHF7murq6uzLo6OjpFrkNlS+5kZs+ePXjw4AHGjBmD3bt3w8bGBp07d8Yff/whPn6ciIjKRnp6Ory9vREeHo6wsDAoKSmhR48ekEqlGDx4MDw8PDBgwABkZ2cjJCQEAQEB2LZtG7S1tfHgwQN4eHjA1dUVV69ehb+/PwIDAzFnzhyZfQQHB0NbWxsXL17EokWL4Ofnh9DQ0AJjunTpEgBg//79ePDgAfbu3QsA2LBhA2bMmIG5c+ciOjoa8+bNw6xZsxAcHAwAWLVqFQ4ePIhdu3YhJiYGW7duFZOW8PBwAO+SoaSkJPF9Qfz8/GBiYlKsZCQ/GzduhL29fbF6dRYuXAhjY2M4Oztj7ty5yMzMLNE+qfSU6NlMxsbGGDduHMaNG4crV65g06ZNGDRoEHR0dDBw4ECMHj0adnZ2pR0rEdEXr1evXjLvAwMDYWpqilu3bsHR0REBAQFwcnLC2LFjsXfvXvj4+MDV1RUAsHbtWlhZWWHNmjWQSCRwcHDAw4cPMXXqVPz8889QUnr3962Tk5M4P9LOzg5r1qxBWFgY3N3d840p99l8uT05udv55ZdfsHTpUvTs2RPAux6cW7duISAgAEOGDEFiYiLs7OzQokULSCQSWFtb59mmgYEBzMzMCj0nZ8+eRWBgIKKiouQ5laKMjAxs27YN06ZNK7LuuHHj0KBBAxgaGuLSpUuYPn064uPjsXHjxhLtm0qH3D0z70tKSsLRo0dx9OhRKCsrw8PDAzdv3kTt2rWxfPny0oqRiIj+X1xcHPr3749q1apBT09PHOJJTEwEABgaGiIwMBD+/v6oXr26zA90dHQ0mjZtColEIpY1b94caWlpuH//vljm5OQks09zc3M8efIEAODp6QkdHR3xVZCnT5/i3r17GD58uEz9OXPmiMNiQ4cORVRUFGrWrImxY8fi6NGjhR57YmKizLbmzZuH1NRUDBw4EBs2bEClSpWKcwrz2Lt3L1JTUzF48OAi606YMAFubm5wcnLCiBEjsG7dOgQGBuL58+cl2jeVDrl7ZrKysnDw4EFs3rwZR48ehZOTEyZMmIABAwZAV1cXwLvZ5D/88AMmTJhQ6gETEX3JunbtCisrK2zYsAEWFhaQSqVwdHSUGeo4deoUlJWV8fDhQ6Snp0NPTw8AIAiCTCKTWwZAplxVVVWmjkQigVQqBfBuOGfSpElFxplbf8OGDWjcuLHMMmVlZQBAgwYNEB8fj8OHD+Off/5B37590b59e/zxxx/5btPCwkKm98XIyAhxcXFISEhA165d8+xbRUUFMTExqF69eqGxbty4EV26dCmyByg/TZo0AQDcuXMHxsbGcq9PpUPuZMbc3BxSqRT9+vXDpUuX4OzsnKdOx44dYWBgUArhERFRrufPnyM6OhoBAQHi3I4zZ87I1Dl37hwWLVqEP//8E9OmTYOXl5c4R6V27drYs2ePTFJz7tw56OrqwtLSslgxmJqawtTUVKZMTU0NwLtJuLkqV64MS0tL/PfffxgwYECB29PT08M333yDb775Br1790anTp3w4sULGBkZQVVVVWabKioqqFGjhsz6WlpauH79ukzZzJkzkZqaipUrV8LKyqrQ44mPj8fx48dx8ODBwg+8AFeuXAHw7reRyo/cyczy5cvRp08faGhoFFjH0NAQ8fHxHxUYERHJMjQ0hLGxMdavXw9zc3MkJibKDCOlpqZi0KBB8PLyQufOnVG1alW4uLigS5cu6NOnD0aPHo0VK1bAy8sLY8aMQUxMDHx8fODt7S3OcykJU1NTaGpq4p9//kHNmjWhpaUFfX19+Pr6YuzYsdDT00Pnzp2RkZGBiIgIvHz5Et7e3li+fDnMzc3h7OwMJSUl7N69G2ZmZuIfwzY2NggLC0Pz5s2hrq6e7/P/NDQ04OjoKFOWu/775WvWrMG+ffsQFhYmU3fTpk0wNzdH586d82z70qVLGDx4MMLCwmBpaYnz58/jwoULaNOmDfT19REeHo4JEybg66+/Fu+IT+VD7mTm+PHj6N69e55kJj09HV5eXti0aVOpBUdE9ClV9JvYKSkpYceOHRg7diwcHR1Rs2ZNrFq1SrwUety4cdDW1sa8efMAAHXq1MHChQvh6emJZs2awdLSEocOHcLkyZNRr149GBkZYfjw4R99nxQVFRWsWLECfn5+mD9/Plq2bIkTJ05gxIgR0NLSwuLFizFlyhRoa2ujbt26GD9+PIB3l0cvXLgQsbGxUFZWhqurKw4dOiQmVkuXLoW3tzc2bNgAS0tLJCQklDjGZ8+eiXN1ckmlUgQFBWHo0KHi0Nf7Xr9+jZiYGPFKXXV1dezcuROzZ89GRkYGrK2tMXLkSEyZMqXEcVHpkAi5A6bFpKysjKSkpDzdjM+ePYOZmZnM/QoqgpSUFOjr6yM5OVkcN1ZEWVlZOHToEDw8PPKMZxdXUXc3rej/Ia8oSqMtqHSUtC3evn2L+Ph42NraFtrLTMUnlUqRkpICPT29j+rloY+nSG1R2HdRnt/vYvfMpKSkQBAECIKA1NRUmZ3m5OTg0KFDeRIcIiIiorJW7JTNwMAARkZGkEgksLe3h6GhofiqVKkShg0bhh9//FGunc+fPx+urq7Q1dWFqakpunfvjpiYGJk6giDA19cXFhYW0NTUROvWrXHz5k259kNERESfr2L3zBw/fhyCIKBt27bYs2cPjIyMxGVqamqwtraGhYWFXDs/efIkfvzxR7i6uiI7OxszZsxAhw4dcOvWLWhrawMAFi1ahGXLliEoKAj29vaYM2cO3N3dERMTI14KTkRERF+uYiczbm5uAN5dxla1atU89yooiZCQEJn3mzdvhqmpKSIjI9GqVSsIgoAVK1ZgxowZ4h0kg4ODUblyZWzfvh2jRo366BiIiIhIscl9NdP7t5subcnJyQAg9vrEx8fj0aNH6NChg1hHXV0dbm5uOHfuXL7JTEZGBjIyMsT3KSkpAN5NFFTkZ0flxv4xx5B7I6mi9kGFK422oNJR0rbIzs6GIAjIyckp8ntBxZN7LYkgCDyn5UyR2iInJweCICA7OzvP91ie73WJns1UFgRBgLe3N1q0aCHeG+DRo0cA3t186X2VK1fG3bt3893O/PnzMXv27DzlR48ehZaWVilH/ekV9rC3j/Xw4cMy2/bnqCzbguQjb1soKSnB3NwcycnJTEpLWWpqanmHQP9PEdoiNTUV6enpOHbsGD68uPr169fF3k6FSWbGjBmDa9eu5bmbJYB8b79d0DDX9OnT4e3tLb5PSUmBlZUVOnTooPCXZoeGhsLd3b3ElwMX9RC2/O7mTHmVRltQ6ShpWwiCgAcPHoi3+q/ol68qAkEQkJ6eDm1t7VKZhkAlpwhtIQgCXr9+jdTUVPHGiR/KHVkpjmIlMwcPHkTnzp3L7D/cXl5eOHjwIE6dOoUqVaqI5bnPyXj06JHMraKfPHmSp7cml7q6OtTV1fOUq6qqfhY/PB9zHEX9B/tzOD+f0ufymfoclKQtLC0tER8fj3v37pVRVF8WQRDw5s0baGpqVtgf0C+FIrWFoaEhzMzM8o1Tnu90sZKZHj164NGjRzAxMSnwpnklIQgCvLy8sG/fPpw4cUJ8+msuW1tbmJmZITQ0FPXr1wcAZGZm4uTJk1i4cOFH75+Ivlxqamqws7OTeUAjlVxWVhZOnTqFVq1aMckvZ4rSFqqqqvneebkkipXMmJiY4MKFC+jatWuhQzzy+vHHH7F9+3YcOHAAurq64hwZfX19MaMcP3485s2bBzs7O9jZ2WHevHnQ0tJC//79SyUGIvpyKSkp8Q7ApURZWRnZ2dnQ0NCo0D+gX4IvsS2Klcx4enqiW7dukEgkkEgkhT4m/f0nnBbF398fAMTniuTavHkzhg4dCgCYMmUK3rx5g9GjR+Ply5do3Lgxjh49ynvMEBEREYBiJjO+vr749ttvcefOHXz99dfYvHmz+FTSj1Gcx0JJJBL4+vrC19f3o/dHREREn59iX83k4OAABwcH+Pj4oE+fPp/FZc5ERESk+OS+NNvHxwcA8PTpU8TExIjPajIxMSn14IiIiIiKIvfNFV6/fo1hw4bBwsICrVq1QsuWLWFhYYHhw4fLdYMbIiIiotIgdzIzYcIEnDx5EgcPHsSrV6/w6tUrHDhwACdPnsTEiRPLIkYiIiKiAsk9zLRnzx788ccfMlcgeXh4QFNTE3379hWvUCIiIiL6FEo0zJTf3XdNTU05zERERESfnNzJTNOmTeHj44O3b9+KZW/evMHs2bPRtGnTUg2OiIiIqChyDzOtXLkSnTp1QpUqVVCvXj1IJBJERUVBQ0MDR44cKYsYiYiIiAokdzLj6OiI2NhYbN26Fbdv34YgCPj2228xYMAAaGpqlkWMRERERAWSO5kBAE1NTYwcObK0YyEiIiKSm9xzZoiIiIgqEiYzREREpNCYzBAREZFCK9GcGSJFJpH8V2QdQaj2CSIhIqLSUKKemVevXmHjxo2YPn06Xrx4AQC4fPkyHjx4UKrBERERERVF7p6Za9euoX379tDX10dCQgJGjhwJIyMj7Nu3D3fv3sWWLVvKIk4iIiKifMndM+Pt7Y2hQ4ciNjYWGhoaYnnnzp1x6tSpUg2OiIiIqChyJzPh4eEYNWpUnnJLS0s8evSoVIIiIiIiKi65kxkNDQ2kpKTkKY+JiYGJiUmpBEVERERUXHInM926dYOfnx+ysrIAABKJBImJiZg2bRp69epV6gESERERFUbuZGbJkiV4+vQpTE1N8ebNG7i5uaFGjRrQ1dXF3LlzyyJGIiIiogLJfTWTnp4ezpw5g2PHjuHy5cuQSqVo0KAB2rdvXxbxERERERWqxDfNa9u2Ldq2bVuasRARERHJTe5kZtWqVfmWSyQSaGhooEaNGmjVqhWUlZU/OjgiIiKiosidzCxfvhxPnz7F69evYWhoCEEQ8OrVK2hpaUFHRwdPnjxBtWrVcPz4cVhZWZVFzEREREQiuScAz5s3D66uroiNjcXz58/x4sUL/Pvvv2jcuDFWrlyJxMREmJmZYcKECWURLxEREZEMuXtmZs6ciT179qB69epiWY0aNbBkyRL06tUL//33HxYtWsTLtImIiOiTkLtnJikpCdnZ2XnKs7OzxTsAW1hYIDU19eOjIyIiIiqC3MlMmzZtMGrUKFy5ckUsu3LlCn744Qfx6qbr16/D1ta29KIkIiIiKoDcyUxgYCCMjIzQsGFDqKurQ11dHS4uLjAyMkJgYCAAQEdHB0uXLi31YImIiIg+JPecGTMzM4SGhuL27dv4999/IQgCHBwcULNmTbFOmzZtSjVIIiIiooKU+KZ5Dg4OcHBwKM1YiIiIiORWomTm/v37OHjwIBITE5GZmSmzbNmyZaUSGBEREVFxyJ3MhIWF4euvv4atrS1iYmLg6OiIhIQECIKABg0alEWMRERERAWSewLw9OnTMXHiRNy4cQMaGhrYs2cP7t27Bzc3N/Tp06csYiQiIiIqkNzJTHR0NIYMGQIAUFFRwZs3b6CjowM/Pz8sXLiw1AMkIiIiKozcyYy2tjYyMjIAvLs5XlxcnLjs2bNnpRcZERERUTHIPWemSZMmOHv2LGrXro2vvvoKEydOxPXr17F37140adKkLGIkIiIiKpDcycyyZcuQlpYGAPD19UVaWhp27tyJGjVqYPny5aUeIBEREVFh5E5mqlWrJv5bS0sLa9euLdWAiIiIiOQh95yZatWq4fnz53nKX716JZPoEBEREX0KciczCQkJyMnJyVOekZGBBw8elEpQRERERMVV7GGmgwcPiv8+cuQI9PX1xfc5OTkICwuDjY2NXDs/deoUFi9ejMjISCQlJWHfvn3o3r27uHzo0KEIDg6WWadx48a4cOGCXPshIiKiz1exk5ncJEMikYj3mcmlqqoKGxsbuZ+UnZ6ejnr16uG7775Dr1698q3TqVMnbN68WXyvpqYm1z6IiIjo81bsZEYqlQIAbG1tER4ejkqVKn30zjt37ozOnTsXWkddXR1mZmYfvS8iIiL6PMk9ZyY+Pr5UEpniOnHiBExNTWFvb4+RI0fiyZMnn2zfREREVPGV6KnZYWFhCAsLw5MnT8Qem1ybNm0qlcCAdz03ffr0gbW1NeLj4zFr1iy0bdsWkZGRUFdXz3edjIwM8Q7FAJCSkgIAyMrKQlZWVqnF9qnlxv4xx/BhWxW0j8+dpmbeCewfKuxclEZbUOlgW1QcbIuK43NpC3nilwiCIMiz8dmzZ8PPzw8uLi4wNzeHRCKRWb5v3z55Nve/QCSSPBOAP5SUlARra2vs2LEDPXv2zLeOr68vZs+enad8+/bt0NLSKlFsRERE9Gm9fv0a/fv3R3JyMvT09AqtK3fPzLp16xAUFIRBgwaVOMCSMjc3h7W1NWJjYwusM336dHh7e4vvU1JSYGVlhQ4dOhR5MiqyrKwshIaGwt3dHaqqqiXaRlRUVKHLnZ2dS7RdRaOvn1BkneRkmwKXlUZbUOlgW1QcbIuK43Npi9yRleKQO5nJzMxEs2bN5F2tVDx//hz37t2Dubl5gXXU1dXzHYJSVVVV6EbN9THHoaRU+BSpz+H8FMebN8pF1inOufhcPlOfA7ZFxcG2qDgUvS3kiV3uCcAjRozA9u3b5V0tX2lpaYiKihJ7DOLj4xEVFYXExESkpaVh0qRJOH/+PBISEnDixAl07doVlSpVQo8ePUpl/0RERKT45O6Zefv2LdavX49//vkHTk5OeTKnZcuWFXtbERERaNOmjfg+d3hoyJAh8Pf3x/Xr17Flyxa8evUK5ubmaNOmDXbu3AldXV15wyYiIqLPlNzJzLVr18S5FTdu3JBZ9uFk4KK0bt0ahc0/PnLkiLzhERER0RdG7mTm+PHjZREHERERUYnIPWcm1507d3DkyBG8efMGAArtYSEiIiIqK3InM8+fP0e7du1gb28PDw8PJCUlAXg3MXjixImlHiARERFRYeROZiZMmABVVVUkJibK3ITum2++QUhISKkGR0RERFQUuefMHD16FEeOHEGVKlVkyu3s7HD37t1SC4yIiIioOOTumUlPT8/3sQDPnj0r8HlJRERERGVF7mSmVatW2LJli/heIpFAKpVi8eLFMveMISIiIvoU5B5mWrx4MVq3bo2IiAhkZmZiypQpuHnzJl68eIGzZ8+WRYz0Hn3o4w3e5LtMAK8oIyKiL4/cyUzt2rVx7do1+Pv7Q1lZGenp6ejZsyd+/PHHQp+ZRET0IYnkvyLrCEK1TxAJESkyuZMZADAzM8Ps2bNLOxYiIiIiuck9Z2bz5s3YvXt3nvLdu3cjODi4VIIiIiIiKi65k5kFCxagUqVKecpNTU0xb968UgmKiIiIqLjkTmbu3r0LW1vbPOXW1tZITEwslaCIiIiIikvuZMbU1BTXrl3LU3716lUYGxuXSlBERERExSV3MvPtt99i7NixOH78OHJycpCTk4Njx45h3Lhx+Pbbb8siRiIiIqICyX0105w5c3D37l20a9cOKirvVpdKpRg8eDDnzBAREdEnJ1cyIwgCkpKSsHnzZsyZMwdRUVHQ1NRE3bp1YW1tXVYxEhERERVI7mTGzs4ON2/ehJ2dHezs7MoqLoUjkUgKXS4IvDsvERFRWZBrzoySkhLs7Ozw/PnzsoqHiIiISC5yTwBetGgRJk+ejBs3bpRFPERERERykXsC8MCBA/H69WvUq1cPampq0NTUlFn+4sWLUguOiIiIqChyJzMrVqwogzCIiIiISkbuZGbIkCFlEQcRERFRicg9ZwYA4uLiMHPmTPTr1w9PnjwBAISEhODmzZulGhwRERFRUeROZk6ePIm6devi4sWL2Lt3L9LS0gAA165dg4+PT6kHSERERFQYuZOZadOmYc6cOQgNDYWamppY3qZNG5w/f75UgyMiIiIqitzJzPXr19GjR4885SYmJrz/DBEREX1yciczBgYGSEpKylN+5coVWFpalkpQRERERMUldzLTv39/TJ06FY8ePYJEIoFUKsXZs2cxadIkDB48uCxiJCIiIiqQ3MnM3LlzUbVqVVhaWiItLQ21a9dGq1at0KxZM8ycObMsYiQiIiIqkNz3mVFVVcW2bdvg5+eHK1euQCqVon79+nzoJBEREZULuZOZXNWrV0e1atUAFP3EaCIiIqKyUqKb5gUGBsLR0REaGhrQ0NCAo6MjNm7cWNqxERERERVJ7p6ZWbNmYfny5fDy8kLTpk0BAOfPn8eECROQkJCAOXPmlHqQRERERAWRO5nx9/fHhg0b0K9fP7Hs66+/hpOTE7y8vJjMEBER0Scl9zBTTk4OXFxc8pQ3bNgQ2dnZpRIUERERUXHJncwMHDgQ/v7+ecrXr1+PAQMGlEpQRERERMVVoquZAgMDcfToUTRp0gQAcOHCBdy7dw+DBw+Gt7e3WG/ZsmWlEyURERFRAeROZm7cuIEGDRoAAOLi4gC8ey6TiYkJbty4Idbj5dpERET0KcidzBw/frws4iAiIiIqkRLdZ4aIiIioomAyQ0RERAqNyQwREREptHJNZk6dOoWuXbvCwsICEokE+/fvl1kuCAJ8fX1hYWEBTU1NtG7dGjdv3iyfYImIiKhCKtdkJj09HfXq1cOaNWvyXb5o0SIsW7YMa9asQXh4OMzMzODu7o7U1NRPHCkRERFVVCV+anZp6Ny5Mzp37pzvMkEQsGLFCsyYMQM9e/YEAAQHB6Ny5crYvn07Ro0a9SlDJSIiogqqXJOZwsTHx+PRo0fo0KGDWKaurg43NzecO3euwGQmIyMDGRkZ4vuUlBQAQFZWFrKyssosXk1NzUKXf+y+c9fXzCp4P1kofB9SqbRY+/jcaWrmFFmnsHORu+xLOV9liW3x+WBbVByfS1vIE79EEAShDGMpNolEgn379qF79+4AgHPnzqF58+Z48OABLCwsxHrff/897t69iyNHjuS7HV9fX8yePTtP+fbt26GlpVUmsRMREVHpev36Nfr374/k5GTo6ekVWrfC9szk+vBOwoIgFHp34enTp8s8UiElJQVWVlbo0KFDkSfjY+jr6xe6PDk5+aO2n5WVhdDQUAxzH4Y3qm/y3wcK30dUVFShy52dnUsYnWLR108osk5ysk2By3Lbwt3dHaqqqqUX2BeIbfH5YFtUHJ9LW+SOrBRHhU1mzMzMAACPHj2Cubm5WP7kyRNUrly5wPXU1dWhrq6ep1xVVbVMG/XNm/wTjPf3Xyr7UX1TYDKjisL3oaRU+HxvRf7Qy+PNG+Ui6xTnXJT1Z+pLwLb4/LAtKg5Fbwt5Yq+w95mxtbWFmZkZQkNDxbLMzEycPHkSzZo1K8fIiIiIqCIp156ZtLQ03LlzR3wfHx+PqKgoGBkZoWrVqhg/fjzmzZsHOzs72NnZYd68edDS0kL//v3LMWoiIiKqSMo1mYmIiECbNm3E97lzXYYMGYKgoCBMmTIFb968wejRo/Hy5Us0btwYR48eha6ubnmFTERERBVMuSYzrVu3RmEXU0kkEvj6+sLX1/fTBUVEREQKpcLOmSEiIiIqjgp7NdOXRrJ7YaHLNaGE39XsP1E0REREioM9M0RERKTQ2DPziUgk/xVeYdeniYOIiOhzw54ZIiIiUmhMZoiIiEihMZkhIiIihcZkhoiIiBQakxkiIiJSaExmiIiISKExmSEiIiKFxmSGiIiIFBqTGSIiIlJoTGaIiIhIoTGZISIiIoXGZIaIiIgUGpMZIiIiUmhMZoiIiEihMZkhIiIihcZkhoiIiBQakxkiIiJSaExmiIiISKExmSEiIiKFxmSGiIiIFBqTGSIiIlJoTGaIiIhIoTGZISIiIoXGZIaIiIgUmkp5B0ClaL2k8OUNIz5NHERERJ8Qe2aIiIhIoTGZISIiIoXGZIaIiIgUGpMZIiIiUmhMZoiIiEihMZkhIiIihcZkhoiIiBQakxkiIiJSaExmiIiISKExmSEiIiKFxmSGiIiIFBqTGSIiIlJoTGaIiIhIoVXoZMbX1xcSiUTmZWZmVt5hERERUQWiUt4BFKVOnTr4559/xPfKysrlGA0RERFVNBU+mVFRUWFvDBERERWowiczsbGxsLCwgLq6Oho3box58+ahWrVqBdbPyMhARkaG+D4lJQUAkJWVhaysrDKLU1NTs4gaOUUsL3zET/P/l2tmFbyfLEnhe5BKpYUuL8vzU5FoahbVFoWfi9xlX8r5Kktsi88H26Li+FzaQp74JYIgCGUYy0c5fPgwXr9+DXt7ezx+/Bhz5szB7du3cfPmTRgbG+e7jq+vL2bPnp2nfPv27dDS0irrkImIiKgUvH79Gv3790dycjL09PQKrVuhk5kPpaeno3r16pgyZQq8vb3zrZNfz4yVlRWePXtW5Mn4GPr6+kXUuFr44uD9hS7WhBI2qdXAMPdheKP6Jt86yUGF7yLK+WShy52dnQvfwGdCXz+hyDrJyTYFLsvKykJoaCjc3d2hqqpaeoF9gdgWnw+2RcXxubRFSkoKKlWqVKxkpsIPM71PW1sbdevWRWxsbIF11NXVoa6unqdcVVW1TBv1zZv8E4z/KWricuFDQOJ+VN8UmMyoFpGWKikVPpSlyB96ebx5U/Qk8uKci7L+TH0J2BafH7ZFxaHobSFP7BX60uwPZWRkIDo6Gubm5uUdChEREVUQFTqZmTRpEk6ePIn4+HhcvHgRvXv3RkpKCoYMGVLeoREREVEFUaGHme7fv49+/frh2bNnMDExQZMmTXDhwgVYW1uXd2hERERUQVToZGbHjh3lHQIRERFVcBV6mImIiIioKExmiIiISKExmSEiIiKFxmSGiIiIFBqTGaIS0oc+JAX8j4iIPh0mM0RERKTQmMwQERGRQmMyQ0RERAqNyQwREREptAp9B2Aiok8hMjKy0OUNGzb8RJEQUUmwZ4aIiIgUGpMZIiIiUmhMZoiIiEihMZkhIiIihcZkhoiIiBQakxkiIiJSaExmiIiISKExmSEiIiKFxmSGiIiIFBqTGSIiIlJoTGaIiIhIoTGZISIiIoXGB00S5UOye2GByzShhN/V7D9q+0U92BDgww2JiIqLPTNERESk0JjMEBERkULjMBNRWVgvKXx5w4hPEwcR0ReAPTNERESk0JjMEBERkUJjMkNEREQKjckMERERKTROACaiCq2s7/lDRIqPPTNERESk0JjMEBERkUJjMkNEREQKjckMERERKTQmM0RERKTQmMwQERGRQmMyQ0RERAqNyQwREREpNCYzREREpNCYzBCRwtOHPiQF/I+IPn9MZoiIqNQwsaTyoBDJzNq1a2FrawsNDQ00bNgQp0+fLu+QiIiIqIKo8MnMzp07MX78eMyYMQNXrlxBy5Yt0blzZyQmJpZ3aERERFQBVPhkZtmyZRg+fDhGjBiBWrVqYcWKFbCysoK/v395h0ZERFRhFTbk97kN+1XoZCYzMxORkZHo0KGDTHmHDh1w7ty5coqKiIiIKhKV8g6gMM+ePUNOTg4qV64sU165cmU8evQo33UyMjKQkZEhvk9OTgYAvHjxAllZWWUWq4aGRhE1kgtf/Dqz8O1DCa+zX0PjuQYEVSHfOs/fFr6LlJSUQpc/f/688A18JjQ0imgLoND2+BRtAXwZ7fFJ2gJFn0d+Nz5eVlYWXr/++Lagj1ectgAqfnukpqYCAASh4GPIVaGTmVwSiWx3mCAIecpyzZ8/H7Nnz85TbmtrWyaxFV+DwhcPLXzxWwD9i9hDpSJjaFtkDfp/QwtexLb4xIYWvKh4bVF0a9CnwbaoWBSlPVJTU6Gvr19onQqdzFSqVAnKysp5emGePHmSp7cm1/Tp0+Ht7S2+l0qlePHiBYyNjQtMgBRBSkoKrKyscO/ePejp6ZV3OF80tkXFwbaoONgWFcfn0haCICA1NRUWFhZF1q3QyYyamhoaNmyI0NBQ9OjRQywPDQ1Ft27d8l1HXV0d6urqMmUGBgZlGeYnpaenp9Afzs8J26LiYFtUHGyLiuNzaIuiemRyVehkBgC8vb0xaNAguLi4oGnTpli/fj0SExPh6elZ3qERERFRBVDhk5lvvvkGz58/h5+fH5KSkuDo6IhDhw7B2tq6vEMjIiKiCqDCJzMAMHr0aIwePbq8wyhX6urq8PHxyTOERp8e26LiYFtUHGyLiuNLbAuJUJxrnoiIiIgqqAp90zwiIiKiojCZISIiIoXGZIaIiIgUGpMZIiIiUmhMZoiIqFTwehIqL0xmiIioVKirqyM6Orq8w6AvkELcZ4Zk3bt3Dz4+Pti0aVN5h/JFePPmDSIjI2FkZITatWvLLHv79i127dqFwYMHl1N0X5bo6GhcuHABTZs2hYODA27fvo2VK1ciIyMDAwcORNu2fIDnp/D+8+/el5OTgwULFsDY2BgAsGzZsk8ZFgF4+fIlgoODERsbC3NzcwwZMgRWVlblHVaZ431mFNDVq1fRoEED5OTklHcon71///0XHTp0QGJiIiQSCVq2bInff/8d5ubmAIDHjx/DwsKCbfEJhISEoFu3btDR0cHr16+xb98+DB48GPXq1YMgCDh58iSOHDnChOYTUFJSQr169fI89+7kyZNwcXGBtrY2JBIJjh07Vj4BfkEsLCxw/fp1GBsbIz4+Hs2aNQMA1K1bF9HR0UhNTcWFCxfg4OBQzpGWLSYzFdDBgwcLXf7ff/9h4sSJ/AH9BHr06IHs7Gxs3rwZr169gre3N27cuIETJ06gatWqTGY+oWbNmqFt27aYM2cOduzYgdGjR+OHH37A3LlzAQAzZsxAeHg4jh49Ws6Rfv7mz5+PDRs2YOPGjTLJo6qqKq5evZqnB5PKjpKSEh49egRTU1P069cPjx49wt9//w0tLS1kZGSgd+/e0NDQwO7du8s71LIlUIUjkUgEJSUlQSKRFPhSUlIq7zC/CKampsK1a9dkykaPHi1UrVpViIuLEx49esS2+ET09PSE2NhYQRAEIScnR1BRUREiIyPF5devXxcqV65cXuF9cS5duiTY29sLEydOFDIzMwVBEAQVFRXh5s2b5RzZl0UikQiPHz8WBEEQbG1thbCwMJnlFy5cEKpUqVIeoX1SnABcAZmbm2PPnj2QSqX5vi5fvlzeIX4x3rx5AxUV2allv/76K77++mu4ubnh33//LafIvmxKSkrQ0NCQGebQ1dVFcnJy+QX1hXF1dUVkZCSePn0KFxcXXL9+HRKJpLzD+iLlnveMjAxUrlxZZlnlypXx9OnT8gjrk2IyUwE1bNiw0IRFIpHwEshPxMHBAREREXnKV69ejW7duuHrr78uh6i+TDY2Nrhz5474/vz586hatar4/t69e+JcJvo0dHR0EBwcjOnTp8Pd3Z3DreWkXbt2aNCgAVJSUvL8gZWYmIhKlSqVU2SfDq9mqoAmT56M9PT0ApfXqFEDx48f/4QRfbl69OiB33//HYMGDcqzbM2aNZBKpVi3bl05RPbl+eGHH2R+LB0dHWWWHz58mJN/y8m3336LFi1aIDIyEtbW1uUdzhfFx8dH5r2WlpbM+z///BMtW7b8lCGVC04AJiIiIoXGYSYiIiJSaExmiIiISKExmSEiIiKFxmSGiEpVUFBQnjvDlgeJRIL9+/eXdxhE9AkwmSFSYCdOnIBEIsGrV6/KOxRSIAkJCZBIJIiKiirvUIhKBZMZIoIgCMjOzi7vMIiISoTJDFE5EgQBixYtQrVq1aCpqYl69erhjz/+EJe1b98enf6vvfuPibr+4wD+vEO4O+SgOxI4haNT4ECXSJ0i4AItRrr1+4c1dTgOmlBQWAHFSgQGacPDmsqggYkhkBetRYmJ2uiMSGfDgp0iijZpYMMhGj+Oe33/6MsnP/Ijcn1H1/f12Nju/ePz/rzenw9/vPb5vO/eDz8s/EjitWvXoNVqkZ2djYsXL2LlypUAAJVKBYlEgo0bN/7puMAfT3QaGhpgMBggk8nQ1NSEmJgYpKWlISMjA2q1Gj4+PsjJyRHFvGPHDtx7772YPXs2/Pz8kJKSgoGBgWnPeeypQHV1NSIjIyGXy7Fo0SIcP35c6DM6Ogqj0QidTgeFQgG9Xo+dO3eOG6u8vByLFi2CTCaDRqPBSy+9NOl5c3Nz4e3tLTyNyMzMRFBQEFxdXTF//ny89dZbGBkZER2Tn58PLy8vKJVKJCYmIisrC0uWLBH1qaioQEhICORyOYKDg7F79+4p52+327Ft2zYEBARAJpNBq9UK+0sBwJkzZ7Bq1SooFAp4enrihRdeEF3fmJgYvPLKK6IxH3/8ceHeA7//wGBBQQESEhKgVCqh1WpRWloqtOt0OgBAWFgYJBIJYmJipoyZsX+8mdtJgTH25ptvUnBwMB06dIjOnz9PFRUVJJPJ6Pjx40RE9PPPP5NKpaLi4mIiIlq7di0ZDAYaHh4mm81GZrOZAJDVaqXu7m66du3atMY9duwYAaDFixfT4cOHqaOjg65evUrR0dHk7u5OOTk5dPbsWfrwww9JIpHQ4cOHhZhNJhMdPXqUOjs7qbGxkfR6PSUnJwvtFRUV5OHhMemcL1y4QADI19eXDh48SG1tbZSYmEhKpZKuXr1KRETDw8P09ttvU0tLC3V2dtL+/fvJ1dWVampqhHF2795NcrmciouLyWq1UktLC5lMJqEdANXV1ZHdbqe0tDTSarV09uxZoT0vL48sFgtduHCBPvvsM/L29qZt27YJ7fv37ye5XE7l5eVktVpp69at5O7uTqGhoUKf0tJS0mg0ZDabqbOzk8xmM6nVatq7d++k88/IyCCVSkV79+6ljo4OampqorKyMiIiunHjBs2dO5eefPJJOnPmDDU2NpJOp6P4+Hjh+OjoaHr55ZdFYz722GOiPv7+/qRWq2nXrl107tw5KiwsJKlUSu3t7UT0+75KAOjIkSPU3d1Nv/7666TxMuYIOJlhbIYMDAyQXC6nEydOiOqNRiM9//zzQrm2tpZkMhm98cYb5OrqSlarVWgbS0r6+vr+0rhjx3366aeiPtHR0bRixQpR3dKlSykzM3PSedTW1pKnp6dQnm4y88477wh1IyMj5OvrK0ombpeSkkJPPfWUUJ47dy5lZ2dP2h8Affzxx7R+/XoKDg6my5cvT9qXiGj79u10//33C+Xw8HB68cUXRX2ioqJEyYyfnx9VVVWJ+uTl5VFERMSE5+jv7yeZTCYkL7crLS0llUpFAwMDQl19fT1JpVL65ZdfiGj6ycz69euFst1uJy8vL9qzZw8R/XEPTp8+PWEcjDka3s6AsRnS1taGwcFBxMbGiuqHh4cRFhYmlJ955hnU1dWhsLAQe/bsQVBQ0N8yLgAYDIZxxy9evFhU1mg06OnpEcrHjh1DQUEB2tra0N/fD5vNhsHBQdy4cQOzZ8+eetK3iIiIED7PmjULBoMB7e3tQl1JSQk++OADdHV14bfffsPw8LDwiqenpwdXrlzBgw8+OOU50tPTIZPJ0NzcPG5/moMHD6K4uBgdHR0YGBiAzWaDu7u70G61WpGSkiI6ZtmyZTh69CgAoLe3F5cvX4bRaERSUpLQx2azwcPDY8J42tvbMTQ0NGnc7e3tCA0NFV3HqKgo2O12WK3WcZsITuXW+yiRSODj4yO6j4z9m3Ayw9gMsdvtAID6+nrMmzdP1CaTyYTPN2/exKlTp+Dk5IRz5879beMCmDD5cHZ2FpUlEokwZldXF9asWYNNmzYhLy8ParUa33zzDYxG47j1JndibPff2tpapKeno6ioCBEREVAqlXj33Xfx3XffAQAUCsW0xouNjcWBAwfQ0NCAdevWCfXNzc147rnnsHXrVsTFxcHDwwPV1dUoKiqaMJ4xdMvuL2PXpKysDOHh4aJ+Tk5OE8bzZ3ET0aQ7T4/VS6XScRvNTnTtp7qPjP3b8AJgxmbIwoULIZPJcOnSJQQEBIj+/Pz8hH6vvvoqpFIpvvzyS7z33nvCkwEAcHFxAQDRBozTHfdOnDx5EjabDUVFRVi+fDmCgoJw5cqVOxqrublZ+Gyz2XDq1CkEBwcDAJqamhAZGYmUlBSEhYUhICAA58+fF/orlUrcc889aGxsnPIcjz76KKqqqpCYmIjq6mqh3mKxwN/fH9nZ2TAYDAgMDERXV5foWL1ej5aWlnHzH+Pt7Y158+ahs7Nz3HUeW2B7u8DAQCgUiknjXrhwIX744QfRRrMWiwVSqVR4Ijdnzhx0d3cL7aOjo/jxxx+nvA63m+j/hjFHxk9mGJshSqUSr732GtLT02G327FixQr09/fjxIkTcHNzQ3x8POrr61FeXo5vv/0W9913H7KyshAfH4/W1laoVCr4+/tDIpHg888/x5o1a6BQKKY17p1asGABbDYb3n//fTzyyCOwWCx3vGv4rl27EBgYiJCQEJhMJvT19SEhIQHA7zvD79u3Dw0NDdDpdKisrMT3338vShJycnKwadMmeHl5YfXq1bh+/TosFgtSU1NF53niiSdQWVmJDRs2YNasWXj66acREBCAS5cuobq6GkuXLkV9fT3q6upEx6WmpiIpKQkGgwGRkZGoqalBa2sr5s+fL4ohLS0N7u7uWL16NYaGhnDy5En09fVh8+bN4+Ysl8uRmZmJjIwMuLi4ICoqCr29vfjpp59gNBqxbt06bNmyBfHx8cjJyUFvby9SU1OxYcMG4RXTqlWrsHnzZtTX12PBggUwmUx/+XeGvLy8oFAocOjQIfj6+kIul0/6aowxhzDDa3YY+79mt9tp586dpNfrydnZmebMmUNxcXH09ddfU09PD3l7e1NBQYHQf2RkhJYtW0bPPvusUJebm0s+Pj4kkUiERaBTjUs08cJhouktLt2xYwdpNBpSKBQUFxdH+/btE4013QXAVVVVFB4eTi4uLhQSEkKNjY1Cn8HBQdq4cSN5eHjQXXfdRcnJyZSVlSVafEtEVFJSIsxRo9FQamqq0Ib/fptpTE1NDcnlcjKbzURE9Prrr5Onpye5ubnR2rVryWQyjYs7NzeX7r77bnJzc6OEhARKS0uj5cuXi/p89NFHtGTJEnJxcSGVSkUPPPAAffLJJ5POf3R0lPLz88nf35+cnZ1Jq9WK7nFrayutXLmS5HI5qdVqSkpKouvXrwvtw8PDlJycTGq1mry8vKiwsHDCBcC3frOLiCg0NJS2bNkilMvKysjPz4+kUilFR0dPGi9jjkBCdNvLV8YY+x+6ePEidDodTp8+Pe43W/7pYmNj4ePjg8rKypkOhTF2C37NxBhjE7h58yZKSkoQFxcHJycnHDhwAEeOHMFXX30106Exxm7DyQxjjE1AIpHgiy++QH5+PoaGhqDX62E2m/HQQw/NdGiMsdvwaybGGGOMOTT+ajZjjDHGHBonM4wxxhhzaJzMMMYYY8yhcTLDGGOMMYfGyQxjjDHGHBonM4wxxhhzaJzMMMYYY8yhcTLDGGOMMYfGyQxjjDHGHNp/AFV7uBJyFopZAAAAAElFTkSuQmCC\n", + "image/png": 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", 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" ] @@ -2601,10 +2485,10 @@ "id": "cd612166", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:20.363715Z", - "iopub.status.busy": "2023-06-28T21:12:20.363466Z", - "iopub.status.idle": "2023-06-28T21:12:20.610836Z", - "shell.execute_reply": "2023-06-28T21:12:20.610286Z" + "iopub.execute_input": "2023-08-02T12:47:16.786802Z", + "iopub.status.busy": "2023-08-02T12:47:16.786712Z", + "iopub.status.idle": "2023-08-02T12:47:16.853262Z", + "shell.execute_reply": "2023-08-02T12:47:16.853044Z" } }, "outputs": [ @@ -2619,7 +2503,7 @@ }, { "data": { - "image/png": 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\n", 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3ePToEUaOHIn79+/Dzc0NCoUi23vcu3cvHj16hIoVK6q3+fj4YMGCBbh27ZpG0b9lyxaN723QoAHMzc1x7dq1HDsH0+eDxQzJloWFBSZOnIjx48cjKCgIPXr0wIoVK9C6dWu0bNkSffr0gZ2dHeLj43H9+nWcP38ef/31V47HMjU1hbe3N+bPnw8rKys4OjoiLCwMa9as0fiLEXg73w0ArFy5EiYmJjA0NISTk1OOt02y9OvXD3PnzkW3bt2gVCrx3XffaTzfpUsX/PHHH2jTpg1GjBiBunXrQk9PDw8fPsSRI0fQoUMHdOrUKc82iYiIyHHSPDc3N5iamiI2NhY9evSAj48Ppk2bBh0dHQQHB8Pb2xvjx4/HkiVLALwdnaVUKvHHH3+gSpUqMDY2hq2tLWxtbT+6jT/GV199he3bt2Po0KH45ptvEBMTg59//hk2NjYfPftzXrQ5FwICArB//354e3vjp59+QrVq1fDy5UscOHAAo0ePhqurq8b+enp62Lx5MwYMGIBvvvkGGzduRNeuXeHq6ooKFSrgxx9/hCAIsLS0xO7duxEaGpotX0BAANq2bYuWLVtixIgRyMzMxPz582FsbKxx5ahBgwYYNGgQ+vbti3PnzsHb2xslS5ZEbGwsTpw4gWrVqn1wTp0KFSrghx9+wPz58/Hy5Uu0adMGSqUS4eHhmDNnDjw8PNCtWzf1/u3atVPPBVW6dGlER0djyZIlcHBwUI/k++qrr7B+/Xq4urqievXqiIiIwPz587Pdqhs5ciTWrl2L1q1bIyAgAGXLlkVQUBBu3LgBANDRedvd09jYGMuWLUPv3r0RHx+Pb775BmXKlMHTp09x8eJFPH36FIGBgfn4VyfZk7L3MVF+ZI2KCQ8Pz/ZcSkqKUL58ecHFxUXIyMgQBEEQLl68KHTu3FkoU6aMoKenJ1hbWwtNmzYVli9frv6+nEYzPXz4UPj6668FCwsLwcTERGjVqpVw5cqVHEfJLFmyRHBychJ0dXU1Rv28P5rpXV5eXgIAoXv37jk+n56eLixYsECoUaOGYGhoKBgbGwuurq7C4MGDhdu3b3+wjT40mgmAEBoaKmRkZAg+Pj5C2bJlhdjYWI3vnz9/vgBA2LFjh3rb5s2bBVdXV0FPT08AIEybNk39XH7a+EP/bj4+PsIXX3yRbXtO7TdnzhzB0dFRMDAwEKpUqSKsWrVK/X7fpc1oprZt235wH23OhZiYGKFfv36CtbW1oKenJ9ja2gqdO3cW/vvvP0EQNEczZVGpVMLw4cMFHR0dYdWqVYIgCMK1a9eE5s2bCyYmJoKFhYXw7bffCg8ePMjW9oIgCDt27BCqVasm6OvrC+XLlxfmzJkjDB8+XLCwsMj2XtauXSt4enoKJUuWFJRKpVChQgWhV69ewrlz5/JsK5VKJQQGBgoeHh6CkZGRoK+vL7i4uAgTJkwQXr9+rbHvwoULBS8vL8HKykqdq3///sL9+/fV+7x48ULo37+/UKZMGcHIyEho2LChcPz4ccHHx0djZJQgCMKVK1eEZs2aCYaGhoKlpaXQv39/YcOGDQIA4eLFixr7hoWFCW3bthUsLS0FPT09wc7OTmjbtq1Gm1PxphAEQSjsAoqIiMSTnp4Od3d32NnZ4eDBg1LHKTCDBg3C5s2b8fz581w7y9PnibeZiIhkpn///mjevDlsbGwQFxeH5cuX4/r16xqz7cpdQEAAbG1t4ezsrO4TtHr1akyePJmFDGXDYoaISGZev36NsWPH4unTp9DT00OtWrWwb9++XDvkypGenh7mz5+Phw8fIiMjAy4uLli0aJGkC7lS0cXbTERERCRrnAGYiIiIZI3FDBEREckaixkiIiKStWLfAVilUuHx48cwMTH5pGnViYiIqPAIgoDXr1/D1tZWPVFibop9MfP48WPY29tLHYOIiIg+QkxMTJ4Luhb7YiZrgb6YmBiYmppKnCZn6enpOHjwIFq0aKGxCi1pj20pHralONiO4mFbikcObZmQkAB7e/t8LbRb7IuZrFtLpqamRbqYMTIygqmpaZE9qeSCbSketqU42I7iYVuKR05tmZ8uIuwATERERLLGYoaIiIhkjcUMERERyVqx7zNDRCQFQRCQkZGB1NRUlChRAm/evEFmZqbUsWQtPT2dbSmSotCWurq6KFGihCjTprCYISISWVpaGmJjY5GcnAxBEGBtbY2YmBjOdfWJ2JbiKSptaWRkBBsbm09eCZ3FDBGRiFQqFaKioqCrqwtbW1uUKFECSUlJMDY2znPiL/owlUqFxMREtqUIpG5LQRCQlpaGp0+fIioqCi4uLp+Ug8UMEZGI0tLSoFKpYG9vDyMjI6hUKqSnp8PQ0JC/gD+RSqVCWloa21IERaEtlUol9PT0EB0drc7ysXg2EBEVAP6yJcqbWJ8TftqIiIhI1ljMEBERkayxmCEi+gw0btwYI0eOlDoGBEHAoEGDYGlpCYVCgcjISKkjFRhHR0csWbKk2L5eUcJihoiIPll8fDxGjhwJR0dH6Ovrw8bGBn379sWDBw809jtw4ADWr1+PPXv2IDY2FlWrVkWfPn2gUCiyfbVq1Srfr19UirUPcXR0VL83IyMjVK1aFStWrJA6VrHAYoaIiD5KZmYmVCoV4uPjUa9ePRw6dAi//fYb7ty5g+DgYNy9exd16tTBvXv31N9z9+5d2NjYwMvLC9bW1ihR4u2g2latWiE2Nlbja/PmzYX+ntLS0gr0+AEBAYiNjcWlS5fQsWNHfP/99wgODi7Q1/wcsJghIipEjRs3xvDhwzF+/HhYWlrC2toa/v7+AID79+9nu/Xy8uVLKBQKHD16FABw9OhRKBQKhISEoGbNmlAqlWjatCmePHmC/fv3o0qVKjA1NUXXrl2RnJys8doZGRn44YcfYG5ujlKlSmHy5MkQBEH9fFpaGsaPHw87OzuULFkSnp6e6tcFgPXr18Pc3Bx79uyBm5sbDAwMEB0djUmTJuHx48c4dOgQ2rRpg/Lly8Pb2xshISHQ09PDsGHDAAB9+vSBn58fHjx4AIVCAUdHR/WxDQwMYG1trfFlYWGhfs/6+vo4fvy4ev+FCxfCysoKsbGx6NOnD8LCwvDLL7+or3zcv38fAHDt2jW0adMGxsbGKFu2LHr27Ilnz55p/Hv88MMPGD16NKysrNC8eXN1Gx8+fBgeHh4wMjKCl5cXbt68qf6+u3fvokOHDihbtiyMjY1Rp04dHDp0KM9/fxMTE1hbW6NixYqYMWMGXFxc8PfffwMAJkyYgEqVKsHIyAjOzs6YMmUK0tPTNb5/165d8PDwgKGhIaysrODr65vra61btw5mZmYIDQ0FACxatAjVqlVDyZIl4eDggDFjxiAxMVHje1atWqWeVqBTp05YtGgRzM3NNfbZvXs3ateuDUNDQzg7O2P69OnIyMhQP+/v74/y5cvDwMAAtra2GD58eJ7t8qk4zwwR0XsiIiI+6ftLlCiB5ORkjWniU1JSALy9mrFhwwb88MMPOHLkCM6ePYvBgwejdu3aqFChgnrfpKQkAFD/N2tb1nH8/f3x66+/wsjICJ07d0bnzp1hYGCAoKAgJCYmolOnTli2bBkmTJigzrBhwwb0798f//77L86dO4dBgwbBwcEBAwcOBAD07dsX9+/fx5YtW2Bra4sdO3agVatWuHz5MlxcXAAAycnJmD17NlavXo1SpUqhTJky2LJlC7p37w5ra2uNdlAqlRg6dCgmT56M+Ph4/PLLL6hQoQJWrlyJ8PBw6Orq5qs9s24h9e7dG2FhYYiKisKkSZOwefNm2NjY4JdffsGtW7dQtWpVBAQEAABKly6N2NhY+Pj4YODAgVi0aBFSUlIwYcIEdO7cGf/8849GuwwZMgQnT56EIAiIi4sDAEyaNAkLFy5E6dKl8f3336Nfv344efIkACAxMRFt2rTBjBkzYGhoiA0bNqBdu3a4efMmypcvn6/3BQCGhobqgsXExATr16+Hra0tLl++jIEDB8LExATjx48HAOzduxe+vr6YNGkSfv/9d6SlpWHv3r05HnfBggWYPXs2QkJCUK9ePQBvh0EvXboUjo6OuHv3LoYOHYoJEyYgMDAQAHDy5El8//33mDt3Ltq3b49Dhw5hypQpGscNCQlBjx49sHTpUjRq1Ah3797FoEGDAADTpk3D1q1bsXjxYmzZsgVffPEF4uLicPHixXy3x0cTirlXr14JAIRXr15JHSVXaWlpwt9//y2kpaVJHUX22Jbi+Zzb8ty5c5/0FRkZKTx//lxITEwUEhMThRcvXqj/v2HDhkL9+vXVjxMTE4XatWsLo0ePFq5evSoAEE6dOqV+7uHDhwIAYd++fUJiYqKwb98+AYBw6NAhdd7Zs2cLAIS7d++qtw0ePFho2bKl+rGPj49QpUoVQaVSqbdNmDBBqFKliiAIgnDnzh1BoVAIjx490miLL7/8Upg4caIgCIKwbt06AYAQGRmpfj4uLk4AICxevDjHtty+fbsAQPj3338FQRCExYsXCw4ODhr79O7dW9DV1RVKliyp8RUQEKDeJzU1VahZs6bQqVMn4YsvvhAGDBigcQwfHx9hxIgRGtumTJkitGjRQmNbTEyMAEC4efOm+vvc3d019jly5Ei2Nt67d68AQEhJScnxfQqCILi5uQnLli1TP3ZwcNBol3cfp6enq9vzt99+y/F48+bNE2rXrq1+XL9+faF79+65vn7W8X/88UfBxsZGuHTpUq77ZmZmCuvWrRNKlSql3vbdd98Jbdu21dive/fugpmZmfpxo0aNhFmzZmns8/vvvws2NjaCIAjCwoULhUqVKuX750ZKSopw7dq1HNtVm9/fvDJDRFTIqlatqvHY2toaT58+1eoY1atXV/9/2bJl1bcm3t129uxZje+pV6+exjo89evXx8KFC5GZmYnz589DEARUqlRJ43tSU1NRqlQp9WN9fX2N186L8P9vY+W1/k+TJk3UVwiyWFpaarzuxo0b4e7uDgcHh3yN2omIiMCRI0dgbGyc7bm7d++q36uHh0eO3//u+7SxsQEAPHnyBOXLl0dSUhKmT5+OPXv24PHjx8jIyEBKSkq2Ds/vmzBhAiZPnozU1FTo6+tj3LhxGDx4MABg69atWLJkCe7cuYPExERkZGTA1NRU/b2RkZHqq2i5WbhwIZKSknDu3DmN8wEAjhw5glmzZuHatWtISEhARkYG3rx5g6SkJJQsWRI3b95Ep06dNL6nbt262LNnj/pxREQEwsPDMXPmTPW2zMxMvHnzBsnJyfj222+xZMkSODs7o1WrVmjTpg3atWun7htVUFjMEBEVMj09PY3HCoUCKpVKPRuq8E4/lvf7TOR0DIVCkesx80ulUkFXVxcRERHZbv+8WwwolUqNwqR06dIwNzfHtWvXcjzujRs3oFAo1LfQclOyZElUrFjxg/ucOnUKwNuRU/Hx8ShZsmSe76ldu3aYO3dutueyipOs187J+22cdUwAGDduHEJCQrBgwQJUrFgRSqUS33zzTZ4diMeNG4c+ffqoF1jMOu6ZM2fQpUsXTJ8+HS1btoSZmRm2bNmChQsXqr9XqVR+8NgA0KhRI+zduxd//vknfvzxR/X26OhotGnTBt9//z1+/vlnmJub49ChQ/Dz81OfY4IgZCs63z0Xs97/9OnTc+yrY2hoCHt7e9y8eROhoaE4dOgQhg4divnz5yMsLCzbOSomFjNEREWElZUVACAuLg41atQAAFy+fFm04585cybbYxcXF+jq6qJmzZrIzMzEkydP0KhRo3wfU0dHB507d8Yff/yBgIAAjX4zKSkp+O2339CyZUuNqywf4+7duxgzZgx++eUX7N69G7169cLhw4fVBaC+vr5GHyUAqFWrFrZt2wZHR0fRrwwcP34cffr0UV/JSExMVHc6/hArK6sci7aTJ0/CwcEBkyZNUm+Ljo7W2Kd69eo4fPgw+vbtm+vx69atCz8/P7Rs2RK6uroYN24cAODcuXPIyMjAwoULoaOjA5VKhU2bNml8r6ura7areefOndN4XKtWLdy8efODhadSqUT79u3Rvn17DBs2DK6urrh8+TJq1aqV6/d8Ko5mIiIqIpRKJerWrYuFCxfi+vXrOHHihLpDqxhiYmIwevRo3Lx5E5s3b8ayZcswYsQIAEClSpXQvXt39OrVC9u3b0dUVBTCw8Mxd+5c7Nu374PHnTlzJqytrdG8eXPs378fMTExOHbsGFq2bIn09HT873//yzNbamoq4uLiNL6yRh1lZmaiZ8+eaN68Obp37461a9fiypUrGlctHB0d8e+//+L+/ft49uwZVCoVhg0bhvj4eHTt2hVnz57FvXv3cPDgQfTr1y9b4aOtihUrYvv27YiMjMTFixfRrVs3ra6E5XS8Bw8eYMuWLbh79y6WLl2KHTt2aOwzbdo0bN68GdOmTcP169dx+fJlzJs3L9ux6tevj/379yMgIACLFy8GAFSoUAEZGRlYtmwZ7t27h99//x3r1q3T+D4/Pz/s27cPixYtwu3bt7FixQrs379f42rN1KlTsXHjRvj7++Pq1au4fv06goODMXnyZABvR7ytWbMGV65cUb+OUqmEg4PDR7dNfrCY+Ug5TfD0sV9mZmYAADMzM1GPS0Ty89tvvyEjIwPe3t4YP348pk6dKtqxe/XqhZSUFNStWxfDhg2Dn5+feiQK8HYob69evTBmzBhUrlwZ7du3x7///gt7e/sPHtfKygpnzpxBkyZNMHjwYDg7O6Nz585wdnZGeHh4tr4bOTlw4ABsbGw0vho2bAjgbbF0//599QRz1tbWWL16NSZPnqwexj527Fjo6urCzc0NpUuXxoMHD2Bra4uTJ08iMzMTLVu2RNWqVTFixAiYmZl98gKHixcvhoWFBby8vNCuXTu0bNnyk648dOjQAaNGjcIPP/wAd3d3nDp1KttIosaNG+Ovv/7Crl274O7ujqZNm+Lff//N8XgNGjTA3r17MWXKFCxduhTu7u5YtGgR5s6di6pVqyIoKCjb8Rs0aIDly5dj0aJFqFGjBg4cOIBRo0ZprGbdsmVL7NmzB6GhoahTpw7q1auHRYsWqYsVc3NzrFq1Cg0aNFBfSdq9e7dGv6uCoBDevyFWzCQkJMDMzAyvXr3S6Ej1qcQsFpRKJTZv3oyuXbuqh12KoZj/0+YoPT0d+/btQ5s2bQr0/uzn4HNuSzGGZtvb28PAwADA27YUuw3z6i9SHKlUKiQkJMDU1JSrkn+i/LblwIEDcePGDY05fsT05s0bREVFwcnJSaNoArT7/c0+M0RERATg7fw0zZs3R8mSJbF//35s2LABv/32m9Sx8sRihoiIiAAAZ8+exbx58/D69Ws4Oztj6dKlGDBggNSx8sRihoiIiAAAf/75p9QRPoqkNx0DAwNRvXp1mJqawtTUVN0DO4sgCPD394etrS2USiUaN26Mq1evSpiYiIiIihpJi5ly5cphzpw5OHfuHM6dO4emTZuiQ4cO6oJl3rx5WLRoEX799VeEh4erh/69fv1aythERERUhEhazLRr1w5t2rRBpUqVUKlSJcycORPGxsY4c+YMBEHAkiVLMGnSJPj6+qJq1arYsGEDkpOTERQUJGVsIiIiKkKKTJ+ZzMxM/PXXX0hKSkL9+vURFRWFuLg4tGjRQr2PgYEBfHx8cOrUKfVaFu9LTU1Famqq+nFCQgKAt0Mjc5sW/GPkZ1ppbY8l5jGB3KdBL86y3vPn+N7F9jm35adMfgZoTouQ9f85TRX/KT41oxy925af4/sXU1FpS5VKBUEQkJ6enm0ZDW1+9khezFy+fBn169fHmzdvYGxsjB07dsDNzU29BkfZsmU19i9btmy2KZ7fNXv2bEyfPj3b9oMHD8LIyEi03Js3bxbtWFnWrl0r6vHymrWzOAsNDZU6QrHBttROiRIlYG1tjYyMDI35OzIyMkR9nc+xyMzCrgbikbot09LSkJKSgmPHjmX7jCQnJ+f7OJIXM5UrV0ZkZCRevnyJbdu2oXfv3ggLC1M/n9OiVx/662bixIkYPXq0+nFCQgLs7e3RokULUSfNy5q1VwxKpRJr165Fv379RJ0079WrV6IdSy7S09MRGhqK5s2bf3YTvYntc27LrFllP5auri5KlCgBPT09CIKAjIwMlChRQvTJNj83giDg9evXMDEx4Sznn6iotOWbN2+gVCrh7e2d46R5+SV5MaOvr69esMrDwwPh4eH45ZdfMGHCBABvF1x7d3XTJ0+eZLta8y4DAwP1rJvv0tPTE/UHsphFx7vHFPO4n9svoHeJ/e/9Ofsc2/JTZ5d995dD1v+L/QujOM6AW9i/VD/HWdKzZN1aUigUkp5LOjo66lXf3/85o83PnSL3aRAEAampqXBycoK1tbXGJe60tDSEhYXBy8tLwoRERPS5OnbsGNq1awdbW1soFAr8/fffUkciSHxl5qeffkLr1q1hb2+P169fY8uWLTh69CgOHDgAhUKBkSNHYtasWXBxcYGLiwtmzZoFIyMjdOvWTcrYRET0mUpKSkKNGjXQt29ffP3111LHof9P0mLmv//+Q8+ePREbGwszMzNUr14dBw4cQPPmzQEA48ePR0pKCoYOHYoXL17A09MTBw8ehImJiZSxiaiY8/Dw+OjvdXBwwPLly9UddHV0dODs7IybN2+KOmrkUzLSx2vdujVat24tdQx6j6TFzJo1az74vEKhgL+/P/z9/QsnEBEREclOkeszQ0RERKQNFjNEREQkayxmiIiISNZYzBAREZGsST5pHhERkVwkJibizp076sdRUVGIjIyEpaUlypcvL2GyzxuLGSIiKhLympFXpVIhISEBpqamks1ae+7cOTRp0kT9OGv5nN69e2P9+vWSZCIWM0RERPnWuHHjz3oZhKKKfWaIiIhI1ljMEBERkayxmCEiIiJZYzFDREREssZihoiIiGSNxQwRERHJGosZIiIikjUWM0RERCRrLGaIiIhI1jgDMBERFQkRERGF+nq1a9cu1NejgsMrM0RERPkwe/Zs1KlTByYmJihTpgw6duyImzdvSh2LwGKGiIgoX8LCwjBs2DCcOXMGoaGhyMjIQIsWLZCUlCR1tM8ebzMRERHlw4EDBzQer1u3DmXKlEFERAS8vb0lSkUAr8wQERF9lFevXgEALC0tJU5CLGaIiIi0JAgCRo8ejYYNG6Jq1apSx/ns8TYTERGRln744QdcunQJJ06ckDoKgVdmSGIKhULULzMzMwCAmZmZqMclIsri5+eHXbt24ciRIyhXrpzUcQi8MkNERJQvgiDAz88PO3bswNGjR+Hk5CR1JPr/WMwQERHlw7BhwxAUFISdO3fCxMQEcXFxAN5eCVYqlRKn+7yxmCEioiIhrxl5VSoVEhISYGpqCh2dwu8lERgYCABo3LixxvZ169ahT58+hZ6H/g+LGSIionwQBEHqCJQLdgAmIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiEQmCwI6iRPkk1meFxQwRkYieP3+OtLQ0qWMQyUJycjIAQE9P75OOw6HZREQiSkpKwq5du9C1a1eYm5tDEASkpaWJfrXmzZs3oh5PDlQqFdLS0vDmzRtJ5pkpTqRuS0EQkJycjCdPnsDc3By6urqfdDwWM0REIlu3bh0AoH379jAwMAAAPHv2TNSCJioqSrRjyYUgCEhJSYFSqeSaaZ+oqLSlubk5rK2tP/k4LGaIiEQmCALWrl2LLVu2oFy5cli0aBHGjBkj6tWUGzduiHYsuUhPT8exY8fg7e39ybclPndFoS319PQ++YpMFhYzREQFJDk5GTExMcjIyMCDBw+QkpIi2rENDQ1FO5Zc6OrqIiMjA4aGhixmPlFxa0vedCQiIiJZYzFDREREssZihoiIiGSNxQwRERHJGosZIiIikjUWM0RERCRrLGaIiIhI1iQtZmbPno06derAxMQEZcqUQceOHXHz5k2Nffr06QOFQqHxVa9ePYkSExERUVEjaTETFhaGYcOG4cyZMwgNDUVGRgZatGiBpKQkjf1atWqF2NhY9de+ffskSkxERERFjaQzAB84cEDj8bp161CmTBlERETA29tbvd3AwECUtRuIiIio+ClSyxm8evUKAGBpaamx/ejRoyhTpgzMzc3h4+ODmTNnokyZMjkeIzU1FampqerHCQkJAN6uQ5Geni5aVqVSKfqxxDwmAFHfb0ER+z1/zm0ptqz3/Dm+d36+i6bP+ZwUmxzaUptsCkHsdek/kiAI6NChA168eIHjx4+rtwcHB8PY2BgODg6IiorClClTkJGRgYiICPVqtO/y9/fH9OnTs20PCgqCkZFRgb4HIiIiEkdycjK6deuGV69ewdTU9IP7FpliZtiwYdi7dy9OnDiBcuXK5bpfbGwsHBwcsGXLFvj6+mZ7PqcrM/b29nj27FmejaENMzMz0Y6lVCqxdu1a9OvXT9SF6LKudBVlYrYj8Hm3pdjS09MRGhqK5s2bF4uF6LTBz3fR9Dmfk2KTQ1smJCTAysoqX8VMkbjN5Ofnh127duHYsWMfLGQAwMbGBg4ODrh9+3aOzxsYGOR4xUZPT0/UfzAxfyi9e0wxj1tUT9B3FUQ7Zh33c2vLgiL2Z0cO+PkWR0REhKjHU6lUAICrV69CR0e88Su1a9cW7VhyU5Q/39rkkrSYEQQBfn5+2LFjB44ePQonJ6c8v+f58+eIiYmBjY1NISQkIiKiok7SodnDhg3Dpk2bEBQUBBMTE8TFxSEuLk7910tiYiLGjh2L06dP4/79+zh69CjatWsHKysrdOrUScroREREVERIemUmMDAQANC4cWON7evWrUOfPn2gq6uLy5cvY+PGjXj58iVsbGzQpEkTBAcHw8TERILEREREVNRIfpvpQ5RKJUJCQgopDREREckR12YiIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQka0ViOQMi+nQFNXV8ZGSkaFPHf87TxhNRweGVGSIiIpI1FjNEREQkayxmiIiISNbYZ4aIiAqEh4eHqMdTKpXYvHkzfHx81AsSiyGvpXWo6OOVGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQka6IUMy9fvhTjMERERERa07qYmTt3LoKDg9WPO3fujFKlSsHOzg4XL14UNRwRERFRXrQuZlasWAF7e3sAQGhoKEJDQ7F//360bt0a48aNEz0gERER0YdovWp2bGysupjZs2cPOnfujBYtWsDR0RGenp6iByQiIiL6EK2vzFhYWCAmJgYAcODAATRr1gzA2yXUMzMzxU1HRERElAetr8z4+vqiW7ducHFxwfPnz9G6dWsAQGRkJCpWrCh6QCIiIqIP0bqYWbx4MRwdHRETE4N58+bB2NgYwNvbT0OHDhU9IBEREdGHaF3M6OnpYezYsdm2jxw5Uow8RERERFr5qHlmfv/9dzRs2BC2traIjo4GACxZsgQ7d+4UNRwRERFRXrQuZgIDAzF69Gi0bt0aL1++VHf6NTc3x5IlS8TOR0RERPRBWhczy5Ytw6pVqzBp0iTo6uqqt3t4eODy5cuihiMiIiLKi9Z9ZqKiolCzZs1s2w0MDJCUlCRKKCLSnoeHh6jHUyqV2Lx5M3x8fJCSkiLKMQVBEOU4RETv0vrKjJOTEyIjI7Nt379/P9zc3MTIRERERJRvWl+ZGTduHIYNG4Y3b95AEAScPXsWmzdvxuzZs7F69eqCyEhERESUK62Lmb59+yIjIwPjx49HcnIyunXrBjs7O/zyyy/o0qVLQWQkIiIiypXWxQwADBw4EAMHDsSzZ8+gUqlQpkwZsXMRERER5ctHFTMA8OTJE9y8eRMKhQIKhQKlS5cWMxcRERFRvmjdATghIQE9e/aEra0tfHx84O3tDVtbW/To0QOvXr0qiIxEREREudK6mBkwYAD+/fdf7N27Fy9fvsSrV6+wZ88enDt3DgMHDiyIjERERES50vo20969exESEoKGDRuqt7Vs2RKrVq1Cq1atRA1HRERElBetr8yUKlUKZmZm2babmZnBwsJClFBERERE+aV1MTN58mSMHj0asbGx6m1xcXEYN24cpkyZImo4IiIiorxofZspMDAQd+7cgYODA8qXLw8AePDgAQwMDPD06VOsWLFCve/58+fFS0pERESUA62LmY4dOxZADCIiIqKPo3UxM23aNNFefPbs2di+fTtu3LgBpVIJLy8vzJ07F5UrV1bvIwgCpk+fjpUrV+LFixfw9PTE//73P3zxxRei5SAiIiL50rrPTJ8+fXDs2DFRXjwsLAzDhg3DmTNnEBoaioyMDLRo0UJj9e158+Zh0aJF+PXXXxEeHg5ra2s0b94cr1+/FiUDERERyZvWxczr16/RokULuLi4YNasWXj06NFHv/iBAwfQp08ffPHFF6hRowbWrVuHBw8eICIiAsDbqzJLlizBpEmT4Ovri6pVq2LDhg1ITk5GUFDQR78uERERFR9a32batm0bnj9/jk2bNmH9+vWYNm0amjVrhv79+6NDhw7Q09P76DBZMwhbWloCAKKiohAXF4cWLVqo9zEwMICPjw9OnTqFwYMHZztGamoqUlNT1Y8TEhIAAOnp6UhPT//obO9TKpWiH0vMYwIQ9f0WFLHfM9tS/OOJeVw5tCPAz7dY5HBOAvJoS7Flveei/N61yaYQBEH4lBe7cOEC1q5di9WrV8PY2Bg9evTA0KFD4eLiotVxBEFAhw4d8OLFCxw/fhwAcOrUKTRo0ACPHj2Cra2tet9BgwYhOjoaISEh2Y7j7++P6dOnZ9seFBQEIyMjLd8dERERSSE5ORndunXDq1evYGpq+sF9P3qhSQCIjY3FwYMHcfDgQejq6qJNmza4evUq3NzcMG/ePIwaNSrfx/rhhx9w6dIlnDhxIttzCoVC47EgCNm2ZZk4cSJGjx6tfpyQkAB7e3u0aNEiz8bQRk4TB34spVKJtWvXol+/fkhJSRHtuHJYK0vMdgTYlmIqiLaUQzsC/HyLRQ7nJCCPthRbeno6QkND0bx580+6o1KQsu6s5IfWxUx6ejp27dqFdevW4eDBg6hevTpGjRqF7t27w8TEBACwZcsWDBkyJN/FjJ+fH3bt2oVjx46hXLly6u3W1tYA3k7KZ2Njo97+5MkTlC1bNsdjGRgYwMDAINt2PT09Uf/BxPwgvXtMMY9bVE/QdxVEO2Ydl20p3nHFOrYc2hHg51sscjgnAXm0ZUER+3ejmLTJpXUxY2NjA5VKha5du+Ls2bNwd3fPtk/Lli1hbm6e57EEQYCfnx927NiBo0ePwsnJSeN5JycnWFtbIzQ0FDVr1gQApKWlISwsDHPnztU2OhERERVDWhczixcvxrfffgtDQ8Nc97GwsEBUVFSexxo2bBiCgoKwc+dOmJiYIC4uDsDbS5NKpRIKhQIjR47ErFmz4OLioh5BZWRkhG7dumkbnYiIiIohrYdmHzlyJMcexklJSejXr59WxwoMDMSrV6/QuHFj2NjYqL+Cg4PV+4wfPx4jR47E0KFD4eHhgUePHuHgwYPqW1pERET0edO6mNmwYUOO9ypTUlKwceNGrY4lCEKOX3369FHvo1Ao4O/vj9jYWLx58wZhYWGoWrWqtrGJiIiomMr3baaEhAR1sfH69WuN20yZmZnYt28fypQpUyAhiYiIiHKT72LG3NwcCoUCCoUClSpVyva8QqHIcX4XIiIiooKU72LmyJEjEAQBTZs2xbZt29Sz9AKAvr4+HBwcNCa2IyIiIioM+S5mfHx8ALxdYqB8+fK5TlpHREREVJi0Hprt4OBQEDmIiIiIPorWo5mIiIiIihIWM0RERCRr+Spmdu3aVaSXCSciIqLPV76KmU6dOuHly5cAAF1dXTx58qQgMxERERHlW76KmdKlS+PMmTMA3s7ay5FMREREVFTkazTT999/jw4dOqgnzbO2ts5138zMTNHCEREREeUlX8WMv78/unTpgjt37qB9+/ZYt24dzM3NCzgaERERUd7yPc+Mq6srXF1dMW3aNHz77bcwMjIqyFxERERE+aL1pHnTpk0DADx9+hQ3b95Ur9VUunRp0cMRERER5UXreWaSk5PRr18/2NrawtvbG40aNYKtrS369++P5OTkgshIRERElCuti5lRo0YhLCwMu3btwsuXL/Hy5Uvs3LkTYWFhGDNmTEFkJCIiIsqV1reZtm3bhq1bt6Jx48bqbW3atIFSqUTnzp0RGBgoZj4iIiKiD/qo20xly5bNtr1MmTK8zURERESFTutipn79+pg2bRrevHmj3paSkoLp06ejfv36ooYjIiIiyovWt5l++eUXtGrVCuXKlUONGjWgUCgQGRkJQ0NDhISEFERGIiIiolxpXcxUrVoVt2/fxqZNm3Djxg0IgoAuXbqge/fuUCqVBZGRiIiIKFdaFzMAoFQqMXDgQLGzEBEREWlN6z4zREREREUJixkiIiKSNRYzREREJGssZoiIiEjWPqqYefnyJVavXo2JEyciPj4eAHD+/Hk8evRI1HBEREREedF6NNOlS5fQrFkzmJmZ4f79+xg4cCAsLS2xY8cOREdHY+PGjQWRk4iIiChHWl+ZGT16NPr06YPbt2/D0NBQvb1169Y4duyYqOGIiIiI8qJ1MRMeHo7Bgwdn225nZ4e4uDhRQhERERHll9bFjKGhIRISErJtv3nzJkqXLi1KKCIiIqL80rqY6dChAwICApCeng4AUCgUePDgAX788Ud8/fXXogckIiIi+hCti5kFCxbg6dOnKFOmDFJSUuDj44OKFSvCxMQEM2fOLIiMRERERLnSejSTqakpTpw4gX/++Qfnz5+HSqVCrVq10KxZs4LIR0RERPRBH7XQJAA0bdoUTZs2FTMLERERkda0LmaWLl2a43aFQgFDQ0NUrFgR3t7e0NXV/eRwRERERHnRuphZvHgxnj59iuTkZFhYWEAQBLx8+RJGRkYwNjbGkydP4OzsjCNHjsDe3r4gMhMRERGpad0BeNasWahTpw5u376N58+fIz4+Hrdu3YKnpyd++eUXPHjwANbW1hg1alRB5CUiIiLSoPWVmcmTJ2Pbtm2oUKGCelvFihWxYMECfP3117h37x7mzZvHYdpERERUKLS+MhMbG4uMjIxs2zMyMtQzANva2uL169efno6IiIgoD1oXM02aNMHgwYNx4cIF9bYLFy5gyJAh6tFNly9fhpOTk3gpiYiIiHKhdTGzZs0aWFpaonbt2jAwMICBgQE8PDxgaWmJNWvWAACMjY2xcOFC0cMSERERvU/rPjPW1tYIDQ3FjRs3cOvWLQiCAFdXV1SuXFm9T5MmTUQNSURERJSbj540z9XVFa6urmJmISIiItLaRxUzDx8+xK5du/DgwQOkpaVpPLdo0SJRghERERHlh9bFzOHDh9G+fXs4OTnh5s2bqFq1Ku7fvw9BEFCrVq2CyEhERESUK607AE+cOBFjxozBlStXYGhoiG3btiEmJgY+Pj749ttvtTrWsWPH0K5dO9ja2kKhUODvv//WeL5Pnz5QKBQaX/Xq1dM2MhERERVjWhcz169fR+/evQEAJUqUQEpKCoyNjREQEIC5c+dqdaykpCTUqFEDv/76a677tGrVCrGxseqvffv2aRuZiIiIijGtbzOVLFkSqampAN5Ojnf37l188cUXAIBnz55pdazWrVujdevWH9zHwMAA1tbW2sYkIiKiz4TWxUy9evVw8uRJuLm5oW3bthgzZgwuX76M7du3F8gtoKNHj6JMmTIwNzeHj48PZs6ciTJlyuS6f2pqqrrYAoCEhAQAQHp6OtLT00XLpVQqRT+WmMcEIOr7LShiv2e2pfjHE/O4cmhHgJ9vscjhnATk0ZZiy3rPRfm9a5NNIQiCoM3B7927h8TERFSvXh3JyckYO3YsTpw4gYoVK2Lx4sVwcHDQOjAAKBQK7NixAx07dlRvCw4OhrGxMRwcHBAVFYUpU6YgIyMDERERMDAwyPE4/v7+mD59erbtQUFBMDIy+qhsREREVLiSk5PRrVs3vHr1Cqamph/cV+tipqDkVMy8LzY2Fg4ODtiyZQt8fX1z3CenKzP29vZ49uxZno2hDTMzM9GOpVQqsXbtWvTr1w8pKSmiHffVq1eiHaugiNmOANtSTAXRlnJoR4Cfb7HI4ZwE5NGWYktPT0doaCiaN28OPT09qePkKCEhAVZWVvkqZrS+zeTs7Izw8HCUKlVKY/vLly9Rq1Yt3Lt3T9tD5puNjQ0cHBxw+/btXPfJWmLhfXp6eqL+g4n5QXr3mGIet6ieoO8qiHbMOi7bUrzjinVsObQjwM+3WORwTgLyaMuCIvbvRjFpk0vr0Uz3799HZmZmtu2pqal49OiRtofTyvPnzxETEwMbG5sCfR0iIiKSj3xfmdm1a5f6/0NCQjQuH2ZmZuLw4cNwdHTU6sUTExNx584d9eOoqChERkbC0tISlpaW8Pf3x9dffw0bGxvcv38fP/30E6ysrNCpUyetXoeIiIiKr3wXM1l9WRQKhXqemSx6enpwdHTUeqXsc+fOaSxKOXr0aABA7969ERgYiMuXL2Pjxo14+fIlbGxs0KRJEwQHB8PExESr1yEiIqLiK9/FjEqlAgA4OTkhPDwcVlZWn/zijRs3xof6H4eEhHzyaxAREVHxpnUH4KioqILIQURERPRRPmrV7MOHD+Pw4cN48uSJ+opNlrVr14oSjIiIiCg/tC5mpk+fjoCAAHh4eMDGxgYKhaIgchERERHli9bFzPLly7F+/Xr07NmzIPIQERERaUXreWbS0tLg5eVVEFmIiIiItKZ1MTNgwAAEBQUVRBYiIiIirWl9m+nNmzdYuXIlDh06hOrVq2ebbnjRokWihSMiIiLKi9bFzKVLl+Du7g4AuHLlisZz7AxMREREhU3rYubIkSMFkYOIiIjoo2jdZybLnTt3EBISol659EMz+RIREREVFK2LmefPn+PLL79EpUqV0KZNG8TGxgJ42zF4zJgxogckIiIi+hCti5lRo0ZBT08PDx48gJGRkXr7d999hwMHDogajoiIiCgvWveZOXjwIEJCQlCuXDmN7S4uLoiOjhYtGBEREVF+aH1lJikpSeOKTJZnz57BwMBAlFBERERE+aV1MePt7Y2NGzeqHysUCqhUKsyfPx9NmjQRNRwRERFRXrS+zTR//nw0btwY586dQ1paGsaPH4+rV68iPj4eJ0+eLIiMRERERLnS+sqMm5sbLl26hLp166J58+ZISkqCr68vLly4gAoVKhRERiIiIqJcaX1lBgCsra0xffp0sbMQERERaU3rKzPr1q3DX3/9lW37X3/9hQ0bNogSioiIiCi/tC5m5syZAysrq2zby5Qpg1mzZokSioiIiCi/tC5moqOj4eTklG27g4MDHjx4IEooIiIiovzSupgpU6YMLl26lG37xYsXUapUKVFCEREREeWX1sVMly5dMHz4cBw5cgSZmZnIzMzEP//8gxEjRqBLly4FkZGIiIgoV1qPZpoxYwaio6Px5ZdfokSJt9+uUqnQq1cv9pkhIiKiQqdVMSMIAmJjY7Fu3TrMmDEDkZGRUCqVqFatGhwcHAoqIxEREVGutC5mXFxccPXqVbi4uMDFxaWgchERERHli1Z9ZnR0dODi4oLnz58XVB4iIiIirWjdAXjevHkYN24crly5UhB5iIiIiLSidQfgHj16IDk5GTVq1IC+vj6USqXG8/Hx8aKFIyIiIsqL1sXMkiVLCiAGERER5UahUIh6PKVSic2bN8PMzAwpKSmiHFMQBFGO8zG0LmZ69+5dEDmIiIiIPorWfWYA4O7du5g8eTK6du2KJ0+eAAAOHDiAq1evihqOiIiIKC9aFzNhYWGoVq0a/v33X2zfvh2JiYkAgEuXLmHatGmiByQiIiL6EK2LmR9//BEzZsxAaGgo9PX11dubNGmC06dPixqOiIiIKC9aFzOXL19Gp06dsm0vXbo0558hIiKiQqd1MWNubo7Y2Nhs2y9cuAA7OztRQhERERHll9bFTLdu3TBhwgTExcVBoVBApVLh5MmTGDt2LHr16lUQGYmIiIhypXUxM3PmTJQvXx52dnZITEyEm5sbvL294eXlhcmTJxdERiIiIqJcaT3PjJ6eHv744w8EBATgwoULUKlUqFmzJhedJCIiIkloXcxkqVChApydnQGIPzMhERERUX591KR5a9asQdWqVWFoaAhDQ0NUrVoVq1evFjsbERERUZ60vjIzZcoULF68GH5+fqhfvz4A4PTp0xg1ahTu37+PGTNmiB6SiIiIKDdaFzOBgYFYtWoVunbtqt7Wvn17VK9eHX5+fixmiIiIqFBpfZspMzMTHh4e2bbXrl0bGRkZooQiIiIiyi+ti5kePXogMDAw2/aVK1eie/fuooQiIiIiyq9P6gA8YMAADBgwAFWrVsWqVaugo6OD0aNHq7/ycuzYMbRr1w62trZQKBT4+++/NZ4XBAH+/v6wtbWFUqlE48aNuTI3ERERadC6z8yVK1dQq1YtAMDdu3cBvF2XqXTp0rhy5Yp6v/wM105KSkKNGjXQt29ffP3119menzdvHhYtWoT169ejUqVKmDFjBpo3b46bN2/CxMRE2+hERERUDGldzBw5ckS0F2/dujVat26d43OCIGDJkiWYNGkSfH19AQAbNmxA2bJlERQUhMGDB4uWg4iIiOTroyfNK2hRUVGIi4tDixYt1NsMDAzg4+ODU6dO5VrMpKamIjU1Vf04ISEBAJCeno709HTR8imVStGPJeYxAYj6fguK2O+ZbSn+8cQ8rhzaEeDnWyxyOCcBtqVYxG5HbY6nEARBEPXVP5JCocCOHTvQsWNHAMCpU6fQoEEDPHr0CLa2tur9Bg0ahOjoaISEhOR4HH9/f0yfPj3b9qCgIBgZGRVIdiIiIhJXcnIyunXrhlevXsHU1PSD+xbZKzNZ3u97IwjCB/vjTJw4UaPzcUJCAuzt7dGiRYs8G0MbZmZmoh1LqVRi7dq16NevH1JSUkQ77qtXr0Q7VkERsx0BtqWYCqIt5dCOAD/fYpHDOQmwLYvq5zvrzkp+FNlixtraGgAQFxcHGxsb9fYnT56gbNmyuX6fgYEBDAwMsm3X09ODnp6eaPnE/CC9e0wxjyvm+y0oBdGOWcdlW4p3XLGOLYd2BPj5FosczkmAbVlUP9/aHO+jhmYXBicnJ1hbWyM0NFS9LS0tDWFhYfDy8pIwGRERERUlkl6ZSUxMxJ07d9SPo6KiEBkZCUtLS5QvXx4jR47ErFmz4OLiAhcXF8yaNQtGRkbo1q2bhKmJiIioKJG0mDl37hyaNGmifpzV16V3795Yv349xo8fj5SUFAwdOhQvXryAp6cnDh48yDlmiIiISE3SYqZx48b40GAqhUIBf39/+Pv7F14oIiIikpUi22eGiIiIKD9YzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkrUgXM/7+/lAoFBpf1tbWUsciIiKiIqSE1AHy8sUXX+DQoUPqx7q6uhKmISIioqKmyBczJUqU4NUYIiIiylWRL2Zu374NW1tbGBgYwNPTE7NmzYKzs3Ou+6empiI1NVX9OCEhAQCQnp6O9PR00XIplUrRjyXmMQGI+n4LitjvmW0p/vHEPK4c2hHg51sscjgnAbalWMRuR22OpxAEQRD11UW0f/9+JCcno1KlSvjvv/8wY8YM3LhxA1evXkWpUqVy/B5/f39Mnz492/agoCAYGRkVdGQiIiISQXJyMrp164ZXr17B1NT0g/sW6WLmfUlJSahQoQLGjx+P0aNH57hPTldm7O3t8ezZszwbQxtmZmaiHUupVGLt2rXo168fUlJSRDvuq1evRDtWQRGzHQG2pZgKoi3l0I4AP99ikcM5CbAti+rnOyEhAVZWVvkqZor8baZ3lSxZEtWqVcPt27dz3cfAwAAGBgbZtuvp6UFPT0+0LGJ+kN49ppjHFfP9FpSCaMes47ItxTuuWMeWQzsC/HyLRQ7nJMC2LKqfb22OV6SHZr8vNTUV169fh42NjdRRiIiIqIgo0sXM2LFjERYWhqioKPz777/45ptvkJCQgN69e0sdjYiIiIqIIn2b6eHDh+jatSuePXuG0qVLo169ejhz5gwcHBykjkZERERFRJEuZrZs2SJ1BCIiIiriivRtJiIiIqK8sJghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZghIiIiWWMxQ0RERLLGYoaIiIhkjcUMERERyZosipnffvsNTk5OMDQ0RO3atXH8+HGpIxEREVERUeSLmeDgYIwcORKTJk3ChQsX0KhRI7Ru3RoPHjyQOhoREREVAUW+mFm0aBH69++PAQMGoEqVKliyZAns7e0RGBgodTQiIiIqAkpIHeBD0tLSEBERgR9//FFje4sWLXDq1Kkcvyc1NRWpqanqx69evQIAxMfHIz09XbRshoaGoh4rOTkZhoaGEARBtOM+f/5ctGMVFDHbMet4bEvxjid2W8qhHQF+vsUih3MSYFsW1c/369evASB/+YQi7NGjRwIA4eTJkxrbZ86cKVSqVCnH75k2bZoAgF/84he/+MUvfhWDr5iYmDzrhSJ9ZSaLQqHQeCwIQrZtWSZOnIjRo0erH6tUKsTHx6NUqVK5fo/UEhISYG9vj5iYGJiamkodR9bYluJhW4qD7SgetqV45NCWgiDg9evXsLW1zXPfIl3MWFlZQVdXF3FxcRrbnzx5grJly+b4PQYGBjAwMNDYZm5uXlARRWVqalpkTyq5YVuKh20pDrajeNiW4inqbWlmZpav/Yp0B2B9fX3Url0boaGhGttDQ0Ph5eUlUSoiIiIqSor0lRkAGD16NHr27AkPDw/Ur18fK1euxIMHD/D9999LHY2IiIiKgCJfzHz33Xd4/vw5AgICEBsbi6pVq2Lfvn1wcHCQOppoDAwMMG3atGy3x0h7bEvxsC3FwXYUD9tSPMWtLRWCIOL4NiIiIqJCVqT7zBARERHlhcUMERERyRqLGSIiIpI1FjNEREQkayxmiIiISNZYzBAREZGssZgholw9ffpU1NXmiT7FixcvEB4ejocPH0odRfaKW1uymClkBw8eREZGhvpxUFAQ3N3dUbJkSVSsWBFLly6VMJ28pKWlaTy+e/cuRo4cibZt22LAgAGIiIiQKJn8rFy5EqmpqQDeLu42a9YsWFhYwNraGubm5hg9ejRUKpXEKYu+W7du4d2pu06cOIGOHTviiy++QLNmzbBz504J08nLTz/9hOTkZABAeno6Bg0aBCsrK3h6esLBwQG+vr548+aNxCnl4bNoyzzX1SZR6ejoCP/9958gCIKwdetWQVdXV/Dz8xP++OMPYcyYMYKBgYEQFBQkcUp5eLctL1y4IBgZGQnu7u7CwIEDhTp16gj6+vrCv//+K3FKeXi3LZcvXy6ULFlSWLhwoXDy5Elh2bJlgpmZmbBs2TKJUxZ977bjkSNHBB0dHaFdu3bCzJkzha+//lrQ0dERDhw4IHFKeXi3LWfOnCmULl1a2LZtm/Do0SNh9+7dgp2dnRAQECBxSnn4HNqSxUwhUygU6pOqQYMGwtSpUzWenz9/vlCnTh0posnOu2351VdfCd98842gUqnUz/ft21do1aqVVPFk5d22rFOnjrBo0SKN51etWiVUr15dimiy8m47fvnll8LQoUM1nv/xxx8Fb29vKaLJzrtt6e7uLqxZs0bj+eDgYKFKlSpSRJOdz6EteZtJQrdv30aHDh00trVv3x63bt2SKJF8RUZGYuTIkVAoFOptI0aMwIULFyRMJS9ZbRcVFYUvv/xS47mmTZvi3r17UsSSrWvXrqFXr14a23r27ImrV69KlEh+ss7JmJgY1K1bV+O5unXrIjo6WopYslTc27LILzRZHF27dg1xcXFQKpXZ+iGoVCpkZmZKlExeFAqF+gOqq6sLU1NTjedNTU3x6tUrKaLJ0oEDB2BmZgalUomUlBSN51JSUqCjw7998uP169cwNDSEUqnMtoifvr5+tral3K1atQrGxsYwMDDAixcvNJ579epVsVkksTAU97ZkMSOBL7/8Ut1J8OTJk/Dw8FA/d+HCBZQvX16qaLIiCAIqVaoEhUKBxMREXL58GdWqVVM/f/v2bVhbW0uYUF569+6t/v/Dhw/D09NT/fj06dOoUKGCFLFkp1KlSgDenp8RERFwd3dXP3f16lXY2dlJlExeypcvj1WrVgF4WwSeP38ejRo1Uj9/5MgRVK5cWap4svI5tCWLmUIWFRWl8djY2FjjcXp6OiZMmFCYkWRr3bp1Go/f/2V75swZdOrUqTAjyVZeI5Wsra0xe/bsQkojX0eOHNF4bGNjo/H4/v37GDhwYGFGkq379+9/8Pl69erBx8encMLI3OfQlgpBeGccIREREZHM8CY4ERHJTmxsLB48eCB1jGKhOLQli5kiplmzZnB2dpY6RrHw008/oV+/flLHKBaqVKkCXV1dqWPIXu/evdG0aVOpYxQLTZs2hZOTk9QxioXi0JbsM1PEdOrUCc+ePZM6RrHw6NEjxMTESB2jWJg9ezZHhonAzs6Oo8JEsnHjRvWstvRpikNbss8MERERyRr/RCAiIiJZYzFTyNq1a4fff/+dE2eJYOHChbKftbKoqFatGn7++WfelvtEfn5+OH78uNQxigUTExP0798fp06dkjqK7H0ObcnbTIVMR0cHurq6KFmyJLp27YoBAwagdu3aUseSJR0dHejo6KBJkyYYMGAAOnXqBH19faljyZKOjg4sLS3x8uVLNGvWDAMHDkSHDh1QogS71WlDR0cHCoUCFSpUQP/+/dG7d29O3PiRdHR04ObmhmvXrqFy5coYMGAAevbsiTJlykgdTXY+h7bklRkJXLx4Ef7+/jh58iTq1q2LGjVq4Ndff802xTTlbfXq1ShZsiR69uwJW1tbjBw5EleuXJE6lixdunQJW7duhb6+Prp06QJbW1uMHTsW169flzqarBw8eBBt2rTBggULUL58eXTo0AF79uzJc2JCyu6ff/7BhQsX0KxZM8yaNQv29vb4+uuvsX//fvDvcO0U+7aUaIHLz9a7q5cKgiD8+++/wqBBgwQzMzNBqVQKXbt2FQ4fPixhQvl4ty3/++8/Ye7cuYKrq6ugo6Mj1KlTR1i5cqWQkJAgcUp5eP+8jI2NFWbNmiW4uLgIOjo6Qv369bOttEvZvduOaWlpQnBwsNCyZUtBV1dXsLW1FX766Sfh9u3bEqeUh/fPydTUVCEoKEj48ssvBR0dHaFcuXLClClTJEwoH59DW/I2UyHT0dFBXFxctst7KSkpCA4Oxpo1a3Dq1CkuNpkPubXl8ePHsWbNGmzduhUAkJiYKEU8WdHV1UVsbGyOl52PHj2KNWvWYMeOHWzLPOR2Tj548ABr167F+vXrERMTw893PnzonLx//z7WrFmDDRs2yH6yt8LwObQli5lCltsPu3fdvn0bLi4uhZhKnj70AQWAhIQEBAcHcy2cfMjPeZmQkJBtZXLSlFc7CoKAQ4cOoXnz5oWcTH7yc04KggCFQlGIqeTpc2hL9pkpZD4+Pnl2UmUhkz951eGmpqYsZPKpd+/eUCqVH9yHhUzeHBwcPjhTskKhYCGTT9OmTcu2EO/75PzLtzB9Dm3JKzNEREQka7wyQ0RERLLGYqaI4eKI4tm5cyc2btwodYxigQskiuO3335DQECA1DGKBS7KK57i0JacEauI4eKI4pkwYQJu376NXr16SR1F9rhAoji2bduGqKgoTJ06VeoossdFecVTHNqSfWaIiIhI1vinFhHlin/rUFETFRWFjIwMqWMUC8WpLVnMFBHOzs64ffu21DGKhb59++Lx48dSxygWDAwMuJyBCJo2bcpFUUVSuXJl/qwUSXFqS/aZKWRLly7NcfuDBw+wbt069aJ0w4cPL8xYsnTp0qUct//xxx/o0KGDukNb9erVCzOWLI0ePTrH7ZmZmZgzZw5KlSoFAFi0aFFhxpKdXbt25bj92LFj2LNnD+zt7QEA7du3L8xYsuTr65vj9szMTAwfPhwmJiYAgO3btxdmLFn6HNqSfWYKmY6ODuzs7LKtRhwdHQ1bW1vo6elBoVDg3r17EiWUj6wVinM6hbO2KxQKTh2fDzo6OqhRowbMzc01toeFhcHDwwMlS5aEQqHAP//8I01AmfjQOZmF52T+6OjowNvbG05OThrbN27ciPbt26vP1XXr1kmQTl4+i7Ys7MWgPneDBg0S3N3dhWvXrmlsL1GihHD16lWJUslTjRo1hLZt2wrXr18X7t+/L9y/f1+IiooSSpQoIYSGhqq3Ud5mzZolODk5ZVvklOeldlq1aiW0bdtWY1E/QWA7fozNmzcL5cqVE9auXauxnW2pvc+hLdlnppCtWLEC06ZNQ8uWLfHrr79KHUfWzp49i4oVK+Lrr79GfHw8HBwc4OjoCACwtbWFg4MDHBwcpA0pExMnTkRwcDCGDBmCsWPHIj09XepIsrR//358+eWXqFOnDvbs2SN1HFnr0qULTpw4gbVr1+Lrr7/GixcvpI4kW59DW7KYkUDHjh1x+vRp7NixA61bt0ZcXJzUkWRJX18fS5YswYIFC9C+fXvMnj0bKpVK6liyVadOHURERODp06fw8PDA5cuXZb9eixRGjRqFXbt2YcKECRg8eDCSk5OljiRbDg4OCAsLQ9WqVVGjRg2EhITwnPxIxb0tWcxIxM7ODocOHYK3tzdq1qzJIbCfoHXr1jh37hyOHz8OHx8fqePImrGxMTZs2ICJEyeiefPm7NvxkWrUqIFz585BoVDA3d2dn+9PoKOjg+nTp2Pz5s0YMmQIz8lPUJzbkh2Ai4Dz58/j+PHj6NWrFywsLKSOI2tLly7FkSNHsGzZMpQrV07qOLL28OFDREREoFmzZihZsqTUcWRr165dOHLkCCZOnIgyZcpIHUfWEhMTcffuXVSpUgX6+vpSx5G14taWLGaKgJMnT8LDwwMGBgZSRyFS27x5M9q3b89C5hM9fPgQNjY20NXVlTqK7M2ZMwfff/99tlF3pL3i1pYsZooAU1NTREZGyn6hr6KAbSketqU42I7iYVuKp7i1JfvMFAGsJ8XDthQP21IcbEfxsC3FU9zaksUMERERyRqLmSJgxYoVKFu2rNQxZCk9PR19+/ZVz5jco0cPmJqaSpyqeNi/fz9sbW2ljiF7P/30EywtLaWOUSxcu3aNc0eJpLi1JfvMkOyZm5vj/PnzxebeLxFRQXB2dkZ4eLh6rbUsL1++RK1atWS9jA4XmpRIUlIS5syZg8OHD+PJkyfZJnuT80lV2Dp16oS///4718USKf9q1qyZ40RaCoUChoaGqFixIvr06YMmTZpIkE4+cjsX323HDh068IpNPlhYWOTrnOzbt68E6eTl/v37Oc4tk5qaikePHkmQSDwsZiQyYMAAhIWFoWfPnrCxsSlWMzEWtooVK+Lnn3/GqVOnULt27WxDibkCef61atUKgYGBqFatGurWrQtBEHDu3DlcunQJffr0wbVr19CsWTNs374dHTp0kDpukXXhwgWcP38emZmZqFy5MgRBwO3bt6GrqwtXV1f89ttvGDNmDE6cOAE3Nzep4xZpU6dOxcyZM9G6dWv1ORkeHo4DBw5g2LBhiIqKwpAhQ5CRkYGBAwdKHbdIenc195CQEJiZmakfZ2Zm4vDhw+qlYOSKt5kkYm5ujr1796JBgwZSR5G991eCfRdXINfOwIEDUb58eUyZMkVj+4wZMxAdHY1Vq1Zh2rRp2Lt3L86dOydRyqJvyZIlOH78ONatW6fuw5WQkID+/fujYcOGGDhwILp164aUlBSEhIRInLZo+/rrr9G8eXN8//33GttXrFiBgwcPYtu2bVi2bBlWrlyJy5cvS5SyaNPReds9NqcV3fX09ODo6IiFCxfiq6++kiKeKFjMSMTJyQn79u1DlSpVpI5CpGZmZoaIiAhUrFhRY/udO3dQu3ZtvHr1Cjdu3ECdOnXw+vVriVIWfXZ2dggNDc121eXq1ato0aIFHj16hPPnz6NFixZ49uyZRCnlwdjYGJGRkTmek+7u7uqZbKtXr46kpCSJUsqDk5MTwsPDYWVlJXUU0XE0k0R+/vlnTJ06lYvQiUwQhGI3f0JhMjQ0xKlTp7JtP3XqFAwNDQEAKpWKs1Xn4dWrV3jy5Em27U+fPkVCQgKAt1dn09LSCjua7FhaWmL37t3Ztu/evVvd5ygpKQkmJiaFHU12oqKishUyL1++lCaMyNhnRiILFy7E3bt3UbZsWTg6OkJPT0/j+fPnz0uUTJ42btyI+fPn4/bt2wCASpUqYdy4cejZs6fEyeTFz88P33//PSIiIlCnTh0oFAqcPXsWq1evxk8//QTg7T33mjVrSpy0aOvQoQP69euHhQsXarTj2LFj0bFjRwDA2bNnUalSJWmDysCUKVMwZMgQHDlyBHXr1lW35b59+7B8+XIAQGhoKBeZzYe5c+fC0dER3333HQDg22+/xbZt22BjY4N9+/ahRo0aEif8eLzNJJHp06d/8Plp06YVUhL5W7RoEaZMmYIffvgBDRo0gCAIOHnyJP73v/9hxowZGDVqlNQRZeWPP/7Ar7/+ips3bwIAKleuDD8/P3Tr1g0AkJKSoh5JQjlLTEzEqFGjsHHjRmRkZAAASpQogd69e2Px4sUoWbIkIiMjAQDu7u7SBZWJkydPqs9JQRDg6uoKPz8/eHl5SR1NVpydnbFp0yZ4eXkhNDQUnTt3RnBwMP788088ePAABw8elDriR2MxQ7Ln5OSE6dOno1evXhrbN2zYAH9/f0RFRUmUjD53iYmJuHfvHgRBQIUKFWBsbCx1JPqMKZVK3Lp1C/b29hgxYgTevHmDFStW4NatW/D09MSLFy+kjvjReJtJYhEREbh+/ToUCgXc3Nx4+f4jxMbG5vgXmpeXF2JjYyVIJH9paWk5zn9Uvnx5iRLJk7GxMapXry51DNlTqVS4c+dOjuekt7e3RKnkx8LCAjExMbC3t8eBAwcwY8YMAG/7GuY0/4ycsJiRyJMnT9ClSxccPXoU5ubmEAQBr169QpMmTbBlyxaULl1a6oiyUbFiRfz555/qPh1ZgoOD4eLiIlEqebp9+zb69euXrROwIAhQKBSy/4FXWDgppnjOnDmDbt26ITo6Olvnfp6T2vH19UW3bt3g4uKC58+fo3Xr1gCQ42gxuWExIxE/Pz8kJCTg6tWr6uHZ165dQ+/evTF8+HBs3rxZ4oTyMX36dHz33Xc4duwYGjRoAIVCgRMnTuDw4cP4888/pY4nK3369EGJEiWwZ88eTub4CTgppni+//57eHh4YO/evWzLT7R48WI4OjoiJiYG8+bNU9/2jI2NxdChQyVO92nYZ0YiZmZmOHToEOrUqaOx/ezZs2jRokWxGS5XWCIiIrB48WJcv34dgiDAzc0NY8aM4W07LZUsWRIRERFwdXWVOoqscVJM8ZQsWRIXL16U/ZUDKli8MiMRlUqVbTg28HY2xvcvSVPeateujU2bNkkdQ/bc3Nw4iZsILCwsuO6SSDw9PXHnzh0WMyL5/fffsWLFCty7dw+nT5+Gg4MDlixZAicnJ1kvUcJJ8yTStGlTjBgxAo8fP1Zve/ToEUaNGoUvv/xSwmTyo6urm+MEZc+fP4eurq4EieRr7ty5GD9+PI4ePYrnz58jISFB44vyh5NiisfPzw9jxozB+vXrERERgUuXLml8Uf4FBgZi9OjRaN26NV6+fKnub2Rubo4lS5ZIG+4T8TaTRGJiYtChQwdcuXIF9vb2UCgUePDgAapVq4adO3eiXLlyUkeUDR0dHcTFxaFMmTIa2x8/fowKFSogJSVFomTy8+4aLu9iB2Dt1KxZE3fv3oUgCJwU8xNlnZPvylpjiOekdtzc3DBr1ix07NgRJiYmuHjxIpydnXHlyhU0btxY1ldleZtJIvb29jh//jxCQ0Nx48YNdT+PZs2aSR1NNpYuXQrg7Q+21atXa8zhkZmZiWPHjrHvh5aOHDkidYRiIWuWX/p0nCdKPFFRUTn2IzQwMJD9ula8MkOylbVadnR0NMqVK6dxS0lfXx+Ojo4ICAiAp6enVBGJiIoMNzc3zJ49Gx06dNC4MrN06VJs2LABERERUkf8aLwyU4iWLl2KQYMGwdDQUH1VITfDhw8vpFTylfUXW5MmTbB9+3ZYWFhInEieLl26hKpVq0JHRyfPPgicAI4Kw65du9C6dWvo6elh165dH9y3ffv2hZRK/saNG4dhw4bhzZs3EAQBZ8+exebNmzF79mysXr1a6nifhFdmCpGTkxPOnTuHUqVKqa8q5EShUHBSrY+UdTpzLor8e7fPkY6Ojro/wvvYP+HDLC0tcevWLVhZWcHCwuKD52B8fHwhJpOf98/J3PCc1N6qVaswY8YMxMTEAADs7Ozg7++P/v37S5zs07CYoWJhzZo1WLx4sXrVbBcXF4wcORIDBgyQOFnRFx0djfLly0OhUCA6OvqD+zo4OBRSKvnZsGEDunTpAgMDA2zYsOGD+/bu3buQUhHl7NmzZ1CpVNkGTsgVixmJBAQEYOzYsTAyMtLYnpKSgvnz52Pq1KkSJZOfKVOmYPHixfDz80P9+vUBAKdPn8avv/6KESNGqNcfISL6nDVt2hTbt2+Hubm5xvaEhAR07NgR//zzjzTBRMBiRiK6urqIjY3NVhU/f/4cZcqU4aVTLVhZWWHZsmXo2rWrxvbNmzfDz89P1sMNC9vs2bNRtmxZ9OvXT2P72rVr8fTpU0yYMEGiZPKS25w8CoUCBgYG0NfXL+RE8pJXn8J3sX9h/uU2jcWTJ09gZ2eH9PR0iZJ9OnYAlkjWHAnvu3jxImcO1VJmZiY8PDyyba9duzYyMjIkSCRfK1asQFBQULbtX3zxBbp06cJiJp/Mzc0/2GemXLly6NOnD6ZNm/bBPiGfq8WLF+drP4VCwWImH97t2H/t2jXExcWpH2dmZuLAgQOws7OTIppoWMwUsqyOgQqFApUqVdL4gZeZmYnExER8//33EiaUnx49eiAwMBCLFi3S2L5y5Up0795dolTyFBcXBxsbm2zbS5cujdjYWAkSydP69esxadIk9OnTB3Xr1oUgCAgPD8eGDRswefJkPH36FAsWLICBgUG21d6Jc8uIzd3dXf17p2nTptmeVyqVWLZsmQTJxMNippAtWbIEgiCgX79+mD59OszMzNTPZc2NktXvg/JvzZo1OHjwIOrVqwcAOHPmDGJiYtCrVy+MHj1avd/7BQ9psre3x8mTJ7ONtjt58iRsbW0lSiU/GzZswMKFC9G5c2f1tvbt26NatWpYsWIFDh8+jPLly2PmzJksZqjARUVFQRAEODs74+zZsyhdurT6OX19fZQpU0b2S7+wz4xEwsLC4OXlleNik6SdJk2a5Gs/hUIh6w5uhWHu3LmYP38+5s+fr/4L7vDhwxg/fjzGjBmDiRMnSpxQHoyMjHDx4kW4uLhobL99+zZq1KiB5ORkREVF4YsvvuD6TTl49w+QvPAPFAJ4ZUYyPj4+6v9PSUnJ1vHK1NS0sCPJFqfgF8/48eMRHx+PoUOHIi0tDQBgaGiICRMmsJDRQrly5bBmzRrMmTNHY/uaNWtgb28P4G1nf070mLMLFy7kaz/OJ/XxTE1NERkZCWdnZ6mjiIJXZiSSnJyM8ePH488//8Tz58+zPc/RTFTYMjMzceLECVSrVg36+vq4fv06lEolXFxcYGBgIHU8Wdm1axe+/fZbuLq6ok6dOlAoFAgPD8eNGzewdetWfPXVVwgMDMTt27d5ZYEk8e5yBsUBixmJDBs2DEeOHEFAQAB69eqF//3vf3j06BFWrFiBOXPmsOOqFpo0afLBv9B4ayn/DA0Ncf369Q/OUE35Ex0djeXLl+PmzZsQBAGurq4YPHgwHB0dpY4mS3fu3MHdu3fh7e0NpVKZ64hQyp/iVszwNpNEdu/ejY0bN6Jx48bo168fGjVqhIoVK8LBwQF//PEHixktuLu7azxOT09HZGQkrly5wplWtVStWjXcu3ePxYwIHBwcMHv2bKljyN7z58/RuXNnHDlyBAqFArdv34azszMGDBgAc3NzLFy4UOqIstSjR49i1Z2BxYxE4uPj1b8wTE1N1Wu1NGzYEEOGDJEymuzkNieFv78/EhMTCzmNvM2cORNjx47Fzz//jNq1a6NkyZIazxenH36FITk5GQ8ePFD3P8rCBTvzb9SoUdDT08ODBw9QpUoV9fbvvvsOo0aNYjHzkQIDA6WOICoWMxJxdnbG/fv34eDgADc3N/z555+oW7cudu/enW2qafo4PXr0QN26dbFgwQKpo8hGq1atALwdRvzuJfysS/rsy5U/T58+Rd++fbF///4cn2c75t/BgwcREhKCcuXKaWx3cXHJcy0xyu7w4cM4fPgwnjx5ApVKpfHc2rVrJUr16VjMSKRv3764ePEifHx8MHHiRLRt2xbLli1DRkYGOwSK5PTp0zA0NJQ6hqxwZJg4Ro4ciRcvXuDMmTNo0qQJduzYgf/++w8zZszglQQtJSUlZVvDDni7UCI7pmtn+vTpCAgIgIeHB2xsbIpVnyN2AC4iHjx4gHPnzqFChQqoUaOG1HFkxdfXV+OxIAiIjY3FuXPnMGXKFEybNk2iZPS5srGxwc6dO1G3bl2Ympri3LlzqFSpEnbt2oV58+bhxIkTUkeUjbZt26JWrVr4+eefYWJigkuXLsHBwQFdunSBSqXC1q1bpY4oGzY2Npg3bx569uwpdRTR8cqMBNLT09GiRQusWLEClSpVAgCUL18e5cuXlziZPL07izLwdjG1ypUrIyAgAC1atJAolTwdO3bsg897e3sXUhJ5S0pKUi/mZ2lpiadPn6JSpUqoVq0azp8/L3E6eZk/fz4aN26Mc+fOIS0tDePHj8fVq1cRHx+PkydPSh1PVtLS0uDl5SV1jALBYkYCenp6uHLlSrG6xCeVzMxM9OnTB9WqVeMCnSJo3Lhxtm3vrx9GeatcuTJu3rwJR0dHuLu7Y8WKFXB0dMTy5ctzXPuKcufm5oZLly4hMDAQurq6SEpKgq+vL4YNG8a21NKAAQMQFBSEKVOmSB1FdLzNJJExY8ZAT08v2wyhpD3OjSKeV69eaTxOT0/HhQsXMGXKFMycORNffvmlRMnk5Y8//kB6ejr69OmDCxcuoGXLlnj+/Dn09fWxfv16fPfdd1JHpM/QiBEjsHHjRlSvXh3Vq1fPtpyOnPtrspiRiJ+fHzZu3IiKFSvCw8Mj2xBYOZ9Uha1OnTqYM2cOf9EWoGPHjmHUqFGIiIiQOoosJScn48aNGyhfvjysrKykjlPkXbp0Kd/7cph7/n1oHTu5r13HYkYixfmkKmwHDx7EhAkTODdKAbp+/Trq1KnDeXs+UmZmJi5fvgwHBweux5QPOjo6UCgU2Wb5zfp1xVuf9D4WMyR7Ojo66v/n3Cif5v2/iLNGhs2ZMwfp6enscJlPI0eORLVq1dC/f39kZmbC29sbp0+fhpGREfbs2ZNj3yT6P+/OH3PhwgWMHTsW48aNQ/369QG8nXZh4cKFmDdvHjp27ChRSnl7+PAhFAoF7OzspI4iCnYAJtnj3CjicXd3V/9F/K569erJekKtwrZ161b06NEDwNulS+7fv48bN25g48aNmDRpEovCPDg4OKj//9tvv8XSpUvRpk0b9bbq1avD3t4eU6ZMYTGjBZVKpZ7rKOsqq4mJCcaMGYNJkyZp/GEoNyxmJMLFEcXj4+MjdYRiIyoqSuOxjo4OSpcuzckHtfTs2TNYW1sDAPbt24dvv/0WlSpVQv/+/bF06VKJ08nL5cuXc+zc7+TkhGvXrkmQSL4mTZqENWvWYM6cOWjQoAEEQcDJkyfh7++PN2/eYObMmVJH/GgsZiTCxRHFc+DAARgbG6Nhw4YAgP/9739YtWoV3Nzc8L///Y99FLTw7l/E9PHKli2La9euwcbGBgcOHMBvv/0G4G1HYF1dXYnTyUuVKlUwY8YMrFmzRl1Up6amYsaMGRprNVHeNmzYgNWrV6N9+/bqbTVq1ICdnR2GDh3KYoa0x8URxTNu3DjMnTsXwNu/4kaPHo0xY8bgn3/+wejRo7Fu3TqJE8pLWFgYFixYgOvXr0OhUKBKlSoYN24cGjVqJHU02ejbty86d+6snjK+efPmAIB///0Xrq6uEqeTl+XLl6Ndu3awt7dXz45+8eJFKBQK7NmzR+J08hIfH5/j+efq6qpe7Fiu2AG4iLlz5w7q1q0r+xOrMBkbG+PKlStwdHSEv78/rly5gq1bt+L8+fNo06YN4uLipI4oG5s2bULfvn3h6+urvgx96tQp7NixA+vXr0e3bt2kjigbW7duRUxMDL799lv1IokbNmyAubk5OnToIHE6eUlOTsamTZtw48YNCIIANzc3dOvWLdvIRfowT09PeHp6ZrvV6efnh/DwcJw5c0aiZJ+OxUwR8/vvv2PChAl4/Pix1FFkw9LSEidOnICbmxsaNmyIXr16YdCgQbh//z7c3NyQnJwsdUTZqFKlCgYNGoRRo0ZpbF+0aBFWrVqF69evS5RM/l6+fAlzc3OpY9BnLCwsDG3btkX58uVRv359KBQKnDp1CjExMdi3b5+sr76ymJEIF0cUT/v27ZGWloYGDRrg559/RlRUFOzs7HDw4EH88MMPuHXrltQRZcPAwABXr15FxYoVNbbfuXMHVatWxZs3byRKJi9z586Fo6Ojeqbfzp07Y9u2bbCxscG+ffs40ZuW7t69iyVLlmjc+hwxYgQqVKggdTTZefz4Mf73v/9pXOUaOnQobG1tpY72SdhnRiJcHFE8v/76K4YOHYqtW7ciMDBQPW/C/v370apVK4nTyYu9vT0OHz6crZg5fPgw7O3tJUolPytWrMCmTZsAAKGhoQgNDcX+/fvx559/YuzYsTh48KDECeUjJCQE7du3h7u7u8atzy+++AK7d+9W90eivKWkpMDW1jbHjr6xsbGyXuuKV2aISC0wMBAjR45Ev3794OXlBYVCgRMnTmD9+vX45ZdfMHjwYKkjyoJSqcStW7dgb2+PESNG4M2bN1ixYgVu3boFT09PvHjxQuqIslGzZk20bNky2zp2P/74Iw4ePMhVyLXg6uqKoKAg1KpVS2P71q1bMWTIEDx9+lSiZJ9OvjPk0GctISFB4/8/9EX5N2TIEGzZsgWXL1/GyJEjMWLECFy5cgXBwcEsZLRgYWGBmJgYAG+nDmjWrBmAt7eTOSO1dq5fv47+/ftn296vXz/OM6Ol5s2bw8vLC3PmzIEgCEhMTESfPn3Qu3dvTJ06Vep4n4S3mSRiYWGR46R5CoUChoaGqFixIvr06YO+fftKkK7os7CwQGxsLMqUKQNzc/Mc25LLGXycTp06oVOnTlLHkDVfX19069YNLi4ueP78OVq3bg0AiIyMzHYLjz6sdOnSiIyMhIuLi8b2yMhIlClTRqJU8rRs2TK0bdsWffv2xd69e/H48WOYmpoiPDwcbm5uUsf7JCxmJDJ16lTMnDkTrVu3Rt26dSEIAsLDw3HgwAEMGzYMUVFRGDJkCDIyMjBw4ECp4xY5//zzDywtLQFwOQMxxcTEQKFQqIcSnz17FkFBQXBzc8OgQYMkTicfixcvhqOjI2JiYjBv3jwYGxsDeNsvYejQoRKnk5eBAwdi0KBBuHfvnsatz7lz52LMmDFSx5OdFi1awNfXF4GBgShRogR2794t+0IGACCQJHx9fYXAwMBs25cvXy74+voKgiAIS5cuFapWrVrY0egz1rBhQ2Hjxo2CIAhCbGysYGJiItSvX18oVaqUMH36dInT0edIpVIJixYtEuzs7ASFQiEoFArBzs5OWLJkiaBSqaSOJyt37twR6tatK5QvX144ePCgMGnSJMHAwEAYN26ckJaWJnW8T8IOwBIxNjbO8ZLznTt34O7ujsTERNy9exfVq1dHUlKSRCmLrvdXd/4QDoPNPwsLC5w5cwaVK1fG0qVLERwcjJMnT+LgwYP4/vvvce/ePakjysbvv/+OFStW4N69ezh9+jQcHBywZMkSODk5cdK8j/T69WsAbxdHJO2ZmJigbdu2WL58uXrOo1OnTqFXr14wMTHBhQsXpA34CXibSSKWlpbYvXt3tsnJdu/erb59kpSUxA9tLt5d3flDC3YCYJ8ZLaSnp8PAwAAAcOjQIfUaLq6uroiNjZUymqwEBgZi6tSpGDlyJGbOnKk+B83NzbFkyRIWMx+JPw8/zW+//YaePXtqbPPy8kJkZCRGjBghUSpxsJiRyJQpUzBkyBAcOXIEdevWhUKhwNmzZ7Fv3z4sX74cwNv5KbgidM7eXd35woULGDt2LMaNG4f69esDAE6fPo2FCxdi3rx5UkWUpS+++ALLly9H27ZtERoaip9//hnA24m2SpUqJXE6+Vi2bBlWrVqFjh07agwp9vDwwNixYyVMJj/Pnz/H1KlTceTIETx58gQqlUrjeS79kn9Zhcy1a9fw4MEDpKWlqZ+Te4HN20wSOnnyJH799VfcvHkTgiDA1dUVfn5+8PLykjqarNStWxf+/v5o06aNxvZ9+/ZhypQpiIiIkCiZ/Bw9ehSdOnVCQkICevfujbVr1wIAfvrpJ9y4cQPbt2+XOKE8KJVK3LhxAw4ODjAxMcHFixfh7OyM27dvo3r16khJSZE6omy0bt0ad+/eRf/+/VG2bNlsV2J79+4tUTL5uXfvHjp16oTLly+rr2wDULepnK9i88qMhBo0aIAGDRpIHUP2Ll++DCcnp2zbnZycOA+Flho3boxnz54hISEBFhYW6u2DBg3ion5acHJyQmRkJBwcHDS279+/v3iMHClEJ06cwIkTJ9QrZtPHGzFiBJycnHDo0CE4Ozvj7NmzeP78OcaMGYMFCxZIHe+TcNK8QsSJ3gpGlSpVMGPGDI11g1JTUzFjxgxUqVJFwmTy07RpU7x+/VqjkAHe9vHKWmeI8jZu3DgMGzYMwcHBEAQBZ8+excyZM/HTTz9h3LhxUseTFVdXV17JEsnp06cREBCA0qVLQ0dHBzo6OmjYsCFmz56N4cOHSx3vk/DKTCHiRG8FY/ny5WjXrh3s7e3Vf71dvHgRCoUCe/bskTidvBw9elTjPnqWN2/e4Pjx4xIkkqe+ffsiIyMD48ePR3JyMrp16wY7Ozv88ssv6NKli9TxZOW3337Djz/+iKlTp6Jq1arQ09PTeN7U1FSiZPKTmZmpnvPIysoKjx8/RuXKleHg4ICbN29KnO7TsJgpRJzorWDUrVsXUVFR2LRpk3ol2O+++w7dunXjrZF8eneo+7Vr1xAXF6d+nJmZiQMHDqgX8KT8GThwIAYOHIhnz55BpVJxttqPZG5ujlevXqFp06Ya2/mHn/aqVq2KS5cuwdnZGZ6enpg3bx709fWxcuVKODs7Sx3vk7ADcCHy9fXF+vXrYWpqio0bN+K7775TD4MlkpKOjo76SmFOPxKUSiWWLVuGfv36FXY0+szVrVsXJUqUwIgRI3LsAMwRn/kXEhKCpKQk+Pr64t69e/jqq69w48YNlCpVCsHBwdkKRjlhMVOI9PX1ER0dDRsbG+jq6qpvOZF4TE1NERkZKfu/MgpbdHQ0BEFQdwosXbq0+jl9fX2UKVMGurq6EiaUFw4nFo+RkREuXLiAypUrSx2lWIqPj891rUA54W2mQuTq6oqJEyeiSZMmEAQBf/75Z673e3v16lXI6YoH1uYfJ2vUzfu/dOnj9OjR44PDiSn/PDw8EBMTw2KmgGR1fZA7XpkpRKdOncLo0aNx9+5dxMfHw8TEJNeVs/mX28d5d04P+ji3bt3C0aNHc7yiMHXqVIlSyYuJiQmHE4vkr7/+gr+/P8aNG4dq1apl6wDM5UoIYDEjGR0dHcTFxfE2k8iGDBmCn3/+GVZWVlJHkaVVq1ZhyJAhsLKygrW1tUaxrVAocP78eQnTyUedOnWwbNky1KtXT+oosqejk30GkXeXMmEHYAJYzEgmOjoa5cuX5+VnKlIcHBwwdOhQTJgwQeooshYeHs7hxCKJjo7+4PPvT0xInyf2mZGIg4MDXr58ibNnz+Z4OZ99ZrRz+PBhHD58OMe2zJqSn/L24sULfPvtt1LHkD0OJxYPixXKDxYzEtm9eze6d++uXhn7/cv5LGbyb/r06QgICICHhwdsbGx4tesTfPvttzh48CC+//57qaPIWvfu3aGvr4+goCB2ABYRRytSbnibSSKVKlVCmzZtMGvWLBgZGUkdR9ZsbGwwb968bEvbk/Zmz56NRYsWoW3btjl2tpT7lOeFhcOJCwY7+FNuWMxIpGTJkrh8+TI/lCIoVaoUzp49iwoVKkgdRfZyWrAzi0KhwL179woxjXx5e3tj6tSpaNasmdRRihUWM5Qb3maSSMuWLXHu3Dl+KEUwYMAABAUFYcqUKVJHkb2oqCipIxQLfn5+GDFiBIcTi6xHjx7sPE054pUZiaxZswYBAQHo27dvjj/s2rdvL1Ey+RkxYgQ2btyI6tWro3r16tnactGiRRIlk6+0tDRERUWhQoUKKFGCf/Noi8OJiQoXixmJ5PTDLgt/2GmnSZMmuT6nUCjwzz//FGIaeUtOToafnx82bNgA4O0Ees7Ozhg+fDhsbW3x448/SpxQHjicWFwcrUh54Z9cEuG08eLhCuTimThxIi5evIijR4+iVatW6u3NmjXDtGnTWMzkE4sV8XC0IuUHixkqVh4+fAiFQgE7Ozupo8jS33//jeDgYNSrV0/jl4abmxvu3r0rYTL54nDiT7N8+XKsX7+eoxXpg3K/10EFLiwsDO3atUPFihXh4uKC9u3b4/jx41LHkh2VSoWAgACYmZnBwcEB5cuXh7m5OX7++WdeAdPS06dPc1xiIykpiX8RfyTeyf80aWlp8PLykjoGFXEsZiSyadMmNGvWDEZGRhg+fDh++OEHKJVKfPnllwgKCpI6nqxMmjQJv/76K+bMmYMLFy7g/PnzmDVrFpYtW8YRTlqqU6cO9u7dq36cVcCsWrUK9evXlyoWfcayRisSfQg7AEukSpUqGDRoEEaNGqWxfdGiRVi1ahWuX78uUTL5sbW1xfLly7ONANu5cyeGDh2KR48eSZRMfk6dOoVWrVqhe/fuWL9+PQYPHoyrV6/i9OnTCAsLQ+3ataWOKDtc/PTTcLQi5QeLGYkYGBjg6tWrqFixosb2O3fuoGrVqnjz5o1EyeTH0NAQly5dQqVKlTS237x5E+7u7khJSZEomTxdvnwZCxYsQEREBFQqFWrVqoUJEyagWrVqUkejzxBHK1J+sAOwROzt7XH48OFsxczhw4dhb28vUSp5qlGjBn799VcsXbpUY/uvv/6KGjVqSJRKvqpVq6Yemk0fj8OJxcHRipQfLGYkMmbMGAwfPhyRkZHw8vKCQqHAiRMnsH79evzyyy9Sx5OVefPmoW3btjh06BDq168PhUKBU6dOISYmBvv27ZM6nqw0adIEPXr0wDfffAMzMzOp48gWhxMXDI5WpNzwNpOEduzYgYULF6r7x1SpUgXjxo1Dhw4dJE4mP48fP8b//vc/3LhxA4IgwM3NDUOHDoWtra3U0WRl+PDh+Ouvv/Dy5Uu0adMGPXv2RJs2baCvry91NFnh4qfiUalUmDFjBhYuXIjExEQAb9doGjNmDCZNmvTBCUjp88FihmQvJSUFSqUyx+diY2NhY2NTyInkTaVS4dChQwgKCsKOHTugq6uLb775Bt27d4ePj4/U8WSBi5+KZ+LEiVizZg2mT5+OBg0aQBAEnDx5Ev7+/hg4cCBmzpwpdUQqAljMSCQ8PBwqlQqenp4a2//991/o6urCw8NDomTy4+rqiqCgINSqVUtj+9atWzFkyBA8ffpUomTy9+bNG+zevRszZ87E5cuXucxGPk2YMAHGxsacGkAEHK1I+cE+MxIZNmwYxo8fn62YefToEebOnYt///1XomTy07x5c3h5ecHf3x8TJkxAUlISfvjhB/z111+YM2eO1PFkKy4uDlu2bMGmTZtw6dIl1KlTR+pIsvHmzRusXLkShw4d4nDiTxQfHw9XV9ds211dXREfHy9BIiqKeGVGIsbGxrh06VK2Kc6joqJQvXp1vH79WqJk8nTgwAH07dsXFStWxOPHj2Fqaoo//vgDbm5uUkeTlYSEBGzbtg1BQUE4evQonJ2d0a1bN3Tv3j3byDvKHYcTi8fT0xOenp7ZRiv6+fkhPDwcZ86ckSgZFSW8MiMRAwMD/Pfff9mKmdjYWJQowX8WbbVo0QK+vr4IDAxEiRIlsHv3bhYyH6Fs2bKwsLBA586dMWvWLF6N+UgcTiwejlak/OCVGYl06dIFcXFx2Llzp3oI7MuXL9GxY0eUKVMGf/75p8QJ5ePu3bvo1q0b4uLisHr1aoSFhWHBggUYPnw4Zs6cme0SP+Xu4MGDaNasGUeIiIjDiT8dRytSXljMSOTRo0fw9vbG8+fPUbNmTQBAZGQkypYti9DQUE6cpwUTExO0bdsWy5cvh7m5OYC30/L36tULJiYmuHDhgrQBZSYjIwNHjx5VF4kmJibqW3fGxsZSx5MFDicWD0crUn6wmJFQUlIS/vjjD1y8eBFKpRLVq1dH165deSVBS7///nuO83kkJiZixIgRWLNmjQSp5Ck6OhqtWrXCgwcPkJqailu3bsHZ2RkjR47EmzdvsHz5cqkjygKHE4uHoxUpP1jMULFx7do1PHjwAGlpaRrb3x/SSbnr2LEjTExMsGbNGpQqVQoXL16Es7MzwsLCMGDAANy+fVvqiLLA4cTi8fPzw6pVq3Idrejn5yd1RCoC2NO0CDA1NUVkZGS2zsCUP/fu3UOnTp1w+fJlKBQKZNXnWVPIc26U/Dtx4gROnjyZbcZfBwcH/gLWAocTi2fZsmVo27Yt+vbti71796pveYaHh7OTP6nxxm0RwItjn2bEiBFwcnLCf//9ByMjI1y9ehXHjh2Dh4cHjh49KnU8WVGpVDkWfw8fPoSJiYkEieQpa/HT93Hx04+TNVrx5MmTiImJwZw5c1jIkAZemSHZO336NP755x+ULl0aOjo60NHRQcOGDTF79mwMHz6cHYC10Lx5cyxZsgQrV64E8PbqVmJiIqZNm4Y2bdpInE4+OJxYPO+OVgwJCUFYWBg6dOjA0YqkgVdmioAePXrA1NRU6hiylZmZqR5lY2VlhcePHwN4e2vk5s2bUkaTncWLFyMsLAxubm548+YNunXrBkdHR/XM1JQ/Pj4+uHXrFjp16oSXL18iPj4evr6+uHnzJho1aiR1PFlxd3eHk5MTLl68iObNm2PGjBn4559/sH37dtStW1fqeFREsAMwyV6jRo0wZswYdOzYEd26dcOLFy8wefJkrFy5EhEREbhy5YrUEWUlJSUFW7ZsQUREBFQqFWrVqoXu3bvnOjyWsuNwYvFwtCLlB4sZCR0+fBiHDx/GkydPoFKpNJ5bu3atRKnkJyQkBElJSfD19cW9e/fw1Vdf4caNGyhVqhSCg4PRtGlTqSPSZ4bDicXH0Yr0IewzI5Hp06cjICAAHh4esLGxUY+8Ie21bNlS/f/Ozs64du0a4uPjYWFhwXb9BBxl9/G4+Kl4OFqR8oNXZiRiY2ODefPm5Xj5lKgoMDExUc8zQ9rj4qfiaNeuHXR1dbFq1So4Ozvj7NmzeP78OcaMGYMFCxawDxIB4JUZyaSlpcHLy0vqGERUQLj4qTg4WpHyg6OZJDJgwAAEBQVJHYMoVxxl9/Hu3r2L+vXrY8+ePQgJCcH48ePRoUMHjB8/Hunp6VLHkxWOVqT84JUZibx58wYrV67EoUOHUL169WxzJSxatEiiZERvBQYGSh1Bttzd3dG2bVuEhITA3NwczZs3R5s2bdCrVy+EhobyaoIWqlatikuXLsHZ2Rmenp6YN28e9PX1sXLlSt4CJTX2mZFIkyZNcn1OoVDgn3/+KcQ0RP+Ho+w+HYcTi4ejFSk/WMwQkVpeo+x27NghUTJ54nDigsHRivQ+FjNFwMOHD6FQKGBnZyd1FPrMcZSdODicmKhwsQOwRFQqFQICAmBmZgYHBweUL18e5ubm+Pnnn7Nd2icqLBxlJw4ufkpUuFjMSGTSpEn49ddfMWfOHFy4cAHnz5/HrFmzsGzZMkyZMkXqePSZ4ig7cZw+fRoBAQG5DicmInFxNJNENmzYgNWrV2vcO69Rowbs7OwwdOhQzJw5U8J09LniKDtx5DScuHLlyhxOTFRAWMxIJD4+Hq6urtm2u7q6Ij4+XoJERMClS5fg7u4OANkW6GRny/zjcGKiwsUOwBLx9PSEp6cnli5dqrHdz88P4eHhOHPmjETJiOhTcTgxUeFiMSORsLAwtG3bFuXLl0f9+vWhUChw6tQpxMTEYN++fVxvhCTHUXbi4nBiooLDDsAS8fHxwa1bt9CpUye8fPkS8fHx8PX1xc2bN1nIkGQ4yq7gWFpaspAhKiC8MiORlJQUKJXKHJ+LjY2FjY1NISciAiZOnIg1a9Zg+vTpaNCgAQRBwMmTJ+Hv74+BAweyYzoRFUksZiTi6uqKoKAg1KpVS2P71q1bMWTIEDx9+lSiZPQ5s7W1xfLly7PNULtz504MHToUjx49kigZEVHueJtJIs2bN4eXlxfmzJkDQRCQmJiIPn36oHfv3pg6darU8egzxVF2RCRHvDIjoQMHDqBv376oWLEiHj9+DFNTU/zxxx9wc3OTOhp9pjjKjojkiMWMhFQqFfz8/BAYGIgSJUpg9+7daNmypdSx6DPGUXZEJEe8zSSRu3fvon79+tizZw9CQkIwfvx4dOjQAePHj0d6errU8egzxVF2RCRHvDIjERMTE7Rt2xbLly+Hubk5AODUqVPo1asXTExMcOHCBWkD0meJo+yISI54ZUYiv/32G7Zs2aIuZADAy8sLkZGR2UY4ERWWmjVr4vz589m2b926FdWrV5cgERFR3rg2k0R69uwJALh27RoePHiAtLQ09XMdOnSQKhZ95rJG2fn7+2PChAlISkrCDz/8gL/++gtz5syROh4RUY54m0ki9+7dQ6dOnXD58mUoFApk/TNkzRCamZkpZTz6jHGUHRHJDW8zSWTEiBFwcnLCf//9ByMjI1y9ehXHjh2Dh4cHjh49KnU8+oy1aNECvr6+OHnyJGJiYjBnzhwWMkRUpLGYkcjp06cREBCA0qVLQ0dHBzo6OmjYsCFmz56N4cOHSx2PPlMcZUdEcsRiRiKZmZkwNjYGAFhZWeHx48cAAAcHB9y8eVPKaPQZc3d3h5OTEy5evIjmzZtjxowZ+Oeff7B9+3bUrVtX6nhERDliMSORqlWr4tKlSwDezro6b948nDx5EgEBAXB2dpY4HX2uOMqOiOSIHYAlEhISgqSkJPj6+uLevXv46quvcOPGDZQqVQrBwcFo2rSp1BHpM5bTKDsA2RagJCIqCljMFCHx8fGwsLBQj2giKmwcZUdEcsTbTEWIpaUlCxmSFEfZEZEc8coMEalZWVnhn//X3t2ERLXGcRz/nSmmdEgTmQhCGBUNcxIhiYxAYRAjcqGCgovQRWGzCDNJghZBi8hwcpJeMAJ7gxBcuBNhRgQjxlGwiIxoYnTRtJhBAm1RvtzF5Z7ucG8vV5zbnHu/n9U8zP+c/2FWP57zPPMEgyorK1N2drampqa0d+9eBYNBnTt3jmM2AKQlZmYAmNhlB8CKOM4AgOmPXXYFBQXmLju73a6BgQF22QFIW7xmAmBilx0AKyLMAPgudtkBSHeEGQAAYGksAAYAAJZGmAEAAJZGmAEAAJZGmAEAAJZGmAFgKS6XS319feb4w4cPqqmpkcPhSDrtG8D/B2EGQFoaHBz823ASDod16tQpc3z9+nXFYjHNzs7qzZs3m9K7urpaHR0dm3IvAKnHPwADSDtfvnz55ndOpzNpHIlEdODAARUVFaX6sQCkKWZmAKTc6Oiojhw5op07dyo3N1fHjx9XJBKRJEWjURmGoaGhIVVXV2v79u169OiR2tra9PHjRxmGIcMwdOnSJUnJr5lcLpeGh4f14MEDGYah1tZWSZLP59P+/fvlcDiUl5cnr9erpaWlpGd6+vSpqqqqlJmZqZycHNXW1mpxcVGtra2amJiQ3+83e0ej0X/plwKwEYQZACm3vLyszs5OhcNhBQIB2Ww21dfXa21tzazp7u7WmTNnNDc3J4/Ho76+PmVlZSkWiykWi6mrq+sv9w2Hwzp69KiampoUi8Xk9/slSTabTTdu3NDLly91//59BYNBnT9/3rxudnZWHo9HpaWlevbsmSYnJ1VXV6fV1VX5/X5VVlbq5MmTZu+8vLzU/0gANozXTABSrrGxMWl879497dq1S69evTJP6e7o6FBDQ4NZk52dLcMwtHv37m/e1+l0atu2bcrIyEiq+/N6l/z8fF2+fFmnT5/WrVu3JEk9PT2qqKgwx5JUWlpqfrbb7crMzPxubwDpg5kZACkXiUTU0tKigoICZWVlKT8/X5K0sLBg1lRUVGxav/HxcdXU1GjPnj3asWOHTpw4oUQioeXlZUlfZ2YA/DcQZgCkXF1dnRKJhO7evatQKKRQKCRJ+vz5s1njcDg2pdf8/LyOHTsmt9ut4eFhzczM6ObNm5K+LizOyMjYlF4A0gNhBkBKJRIJzc3N6eLFi/J4PCopKdHi4uIPr7Pb7VpdXf3H/aanp7WysqLe3l4dOnRIxcXFev/+fVJNWVmZAoHApvcG8GsQZgCkVE5OjnJzczUwMKC3b98qGAyqs7Pzh9e5XC4tLS0pEAgoHo/r06dPP9WvsLBQKysr6u/v17t37/Tw4UPduXMnqebChQsKh8Pyer168eKFXr9+rdu3bysej5u9Q6GQotGo4vF40kJlAOmHMAMgpWw2m548eaKZmRm53W6dPXtW165d++F1hw8fVnt7u5qbm+V0OtXT0/NT/crLy+Xz+XT16lW53W49fvxYV65cSaopLi7W2NiYnj9/roMHD6qyslIjIyPauvX3PRFdXV3asmWL9u3bJ6fTmbS2B0D6MdbX19d/9UMAAABsFDMzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0ggzAADA0n4Dv2cmz5c1f9IAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -2662,10 +2546,10 @@ "id": "d4478ca3", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:20.614199Z", - "iopub.status.busy": "2023-06-28T21:12:20.613801Z", - "iopub.status.idle": "2023-06-28T21:12:20.647881Z", - "shell.execute_reply": "2023-06-28T21:12:20.647184Z" + "iopub.execute_input": "2023-08-02T12:47:16.854712Z", + "iopub.status.busy": "2023-08-02T12:47:16.854634Z", + "iopub.status.idle": "2023-08-02T12:47:16.868380Z", + "shell.execute_reply": "2023-08-02T12:47:16.868128Z" } }, "outputs": [ @@ -2705,44 +2589,44 @@ " Axon Framework - Configuration\n", " test\n", " False\n", - " ${project.groupId}\n", - " axon-messaging\n", + " org.hsqldb\n", + " hsqldb\n", " \n", " \n", " 1\n", " axon-configuration\n", " Axon Framework - Configuration\n", - " test\n", + " provided\n", " False\n", - " org.hsqldb\n", - " hsqldb\n", + " com.google.code.findbugs\n", + " jsr305\n", " \n", " \n", " 2\n", " axon-configuration\n", " Axon Framework - Configuration\n", - " default\n", + " test\n", " True\n", - " jakarta.annotation\n", - " jakarta.annotation-api\n", + " io.projectreactor\n", + " reactor-core\n", " \n", " \n", " 3\n", " axon-configuration\n", " Axon Framework - Configuration\n", - " default\n", + " test\n", " False\n", - " ${project.groupId}\n", - " axon-disruptor\n", + " org.quartz-scheduler\n", + " quartz\n", " \n", " \n", " 4\n", " axon-configuration\n", " Axon Framework - Configuration\n", - " test\n", + " default\n", " False\n", - " jakarta.persistence\n", - " jakarta.persistence-api\n", + " ${project.groupId}\n", + " axon-disruptor\n", " \n", " \n", " ...\n", @@ -2757,19 +2641,19 @@ " 104\n", " axon-test\n", " Axon Framework - Test Fixtures\n", - " test\n", - " False\n", - " javax.inject\n", - " javax.inject\n", + " default\n", + " True\n", + " org.testcontainers\n", + " testcontainers\n", " \n", " \n", " 105\n", " axon-test\n", " Axon Framework - Test Fixtures\n", " default\n", - " False\n", - " org.junit.jupiter\n", - " junit-jupiter\n", + " True\n", + " junit\n", + " junit\n", " \n", " \n", " 106\n", @@ -2785,18 +2669,18 @@ " axon-test\n", " Axon Framework - Test Fixtures\n", " default\n", - " False\n", - " ${project.groupId}\n", - " axon-eventsourcing\n", + " True\n", + " org.hamcrest\n", + " hamcrest-library\n", " \n", " \n", " 108\n", " axon-test\n", " Axon Framework - Test Fixtures\n", - " default\n", - " True\n", - " junit\n", - " junit\n", + " provided\n", + " False\n", + " com.google.code.findbugs\n", + " jsr305\n", " \n", " \n", "\n", @@ -2804,31 +2688,31 @@ "" ], "text/plain": [ - " pom.artifactId pom.name scope \\\n", - "0 axon-configuration Axon Framework - Configuration test \n", - "1 axon-configuration Axon Framework - Configuration test \n", - "2 axon-configuration Axon Framework - Configuration default \n", - "3 axon-configuration Axon Framework - Configuration default \n", - "4 axon-configuration Axon Framework - Configuration test \n", - ".. ... ... ... \n", - "104 axon-test Axon Framework - Test Fixtures test \n", - "105 axon-test Axon Framework - Test Fixtures default \n", - "106 axon-test Axon Framework - Test Fixtures default \n", - "107 axon-test Axon Framework - Test Fixtures default \n", - "108 axon-test Axon Framework - Test Fixtures default \n", + " pom.artifactId pom.name scope \\\n", + "0 axon-configuration Axon Framework - Configuration test \n", + "1 axon-configuration Axon Framework - Configuration provided \n", + "2 axon-configuration Axon Framework - Configuration test \n", + "3 axon-configuration Axon Framework - Configuration test \n", + "4 axon-configuration Axon Framework - Configuration default \n", + ".. ... ... ... \n", + "104 axon-test Axon Framework - Test Fixtures default \n", + "105 axon-test Axon Framework - Test Fixtures default \n", + "106 axon-test Axon Framework - Test Fixtures default \n", + "107 axon-test Axon Framework - Test Fixtures default \n", + "108 axon-test Axon Framework - Test Fixtures provided \n", "\n", - " dependency.optional dependentArtifact.group dependentArtifact.name \n", - "0 False ${project.groupId} axon-messaging \n", - "1 False org.hsqldb hsqldb \n", - "2 True jakarta.annotation jakarta.annotation-api \n", - "3 False ${project.groupId} axon-disruptor \n", - "4 False jakarta.persistence jakarta.persistence-api \n", - ".. ... ... ... \n", - "104 False javax.inject javax.inject \n", - "105 False org.junit.jupiter junit-jupiter \n", - "106 True org.hamcrest hamcrest \n", - "107 False ${project.groupId} axon-eventsourcing \n", - "108 True junit junit \n", + " dependency.optional dependentArtifact.group dependentArtifact.name \n", + "0 False org.hsqldb hsqldb \n", + "1 False com.google.code.findbugs jsr305 \n", + "2 True io.projectreactor reactor-core \n", + "3 False org.quartz-scheduler quartz \n", + "4 False ${project.groupId} axon-disruptor \n", + ".. ... ... ... \n", + "104 True org.testcontainers testcontainers \n", + "105 True junit junit \n", + "106 True org.hamcrest hamcrest \n", + "107 True org.hamcrest hamcrest-library \n", + "108 False com.google.code.findbugs jsr305 \n", "\n", "[109 rows x 6 columns]" ] @@ -2865,7 +2749,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.4" }, "title": "Object Oriented Design Quality Metrics for Java with Neo4j" }, diff --git a/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md b/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md index f0f80befb..e9200fe64 100644 --- a/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md +++ b/results/AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md @@ -1,4 +1,4 @@ -# External Dependencies of Java Artifacts with Neo4j +# External Dependencies
### References @@ -13,7 +13,7 @@ ### External Package -A package is categorized as "external" if it is utilized as a dependency, or if any of its enclosed types are used as dependencies, but the code within it has not been analyzed (missing bytecode). This also applies to all build-in Java types, but they are explicitly filtered out here. +An external type has no `byteCodeVersion` since it only occurs as a dependency but wasn't analyzed itself (missing bytecode). Core Java types like `java.lang.Integer` and primitives like `int` are considered "build-in" and therefore aren't interpreted as "external" even though their byte code is also missing. A package is categorized as "external" if the types it contains are classified as external. ### External annotation dependency @@ -69,7 +69,7 @@ Additionally, it shows which types of the external package are actually used. Ex 78 339 2506 - [MappedSuperclass, IdClass, Id, Entity, Index,... + [TypedQuery, EntityManager, MappedSuperclass, ... 3 @@ -77,7 +77,7 @@ Additionally, it shows which types of the external package are actually used. Ex 69 327 2506 - [IdClass, Id, MappedSuperclass, Index, Table, ... + [TypedQuery, EntityManager, Basic, MappedSuper... 4 @@ -85,7 +85,7 @@ Additionally, it shows which types of the external package are actually used. Ex 61 498 2506 - [Description, StringDescription, CoreMatchers,... + [StringDescription, Description, CoreMatchers,... 5 @@ -93,7 +93,7 @@ Additionally, it shows which types of the external package are actually used. Ex 54 84 2506 - [JsonProperty, JsonCreator, JsonGetter, JsonTy... + [JsonGetter, JsonProperty, JsonTypeInfo$Id, Js... 6 @@ -101,7 +101,7 @@ Additionally, it shows which types of the external package are actually used. Ex 37 226 2506 - [JobDataMap, Job, JobExecutionContext, JobDeta... + [JobDataMap, JobExecutionContext, SchedulerCon... 7 @@ -109,7 +109,7 @@ Additionally, it shows which types of the external package are actually used. Ex 33 149 2506 - [Mono, Flux, FluxSink$OverflowStrategy, FluxSi... + [Flux, Mono, FluxSink$OverflowStrategy, FluxSi... 8 @@ -117,7 +117,7 @@ Additionally, it shows which types of the external package are actually used. Ex 15 73 2506 - [JsonDeserializer, DeserializationContext, Jso... + [JsonNode, ObjectMapper, DeserializationFeatur... 9 @@ -129,19 +129,19 @@ Additionally, it shows which types of the external package are actually used. Ex 10 - com.thoughtworks.xstream.io + com.lmax.disruptor 9 - 46 + 29 2506 - [HierarchicalStreamWriter, HierarchicalStreamR... + [RingBuffer, EventHandler, LifecycleAware, Wai... 11 - com.lmax.disruptor + com.thoughtworks.xstream.io 9 - 29 + 46 2506 - [RingBuffer, EventHandler, LifecycleAware, Blo... + [HierarchicalStreamReader, HierarchicalStreamW... 12 @@ -149,63 +149,63 @@ Additionally, it shows which types of the external package are actually used. Ex 8 34 2506 - [CacheEntryListener, CacheEntryListenerExcepti... + [CacheEntryListener, CacheEntryRemovedListener... 13 - javax.sql + com.thoughtworks.xstream.converters 6 - 24 + 12 2506 - [DataSource] + [UnmarshallingContext, MarshallingContext] 14 - com.thoughtworks.xstream.converters + javax.sql 6 - 12 + 24 2506 - [MarshallingContext, UnmarshallingContext] + [DataSource] 15 - javax.validation + com.lmax.disruptor.dsl 5 22 2506 - [ConstraintViolation, Validation, Validator, V... + [Disruptor, EventHandlerGroup, ProducerType] 16 - nu.xom + com.thoughtworks.xstream.mapper 5 - 16 + 10 2506 - [Document, Builder, ParsingException] + [Mapper, CannotResolveClassException] 17 - net.sf.ehcache + jakarta.validation 5 - 63 + 22 2506 - [Ehcache, Element, CacheException] + [ValidatorFactory, Validation, ConstraintViola... 18 - com.lmax.disruptor.dsl + javax.validation 5 22 2506 - [EventHandlerGroup, Disruptor, ProducerType] + [Validation, Validator, ConstraintViolation, V... 19 - com.thoughtworks.xstream.mapper + net.sf.ehcache 5 - 10 + 63 2506 - [Mapper, CannotResolveClassException] + [Element, Ehcache, CacheException] @@ -257,42 +257,42 @@ This table identifies external packages that aren't used very often. This could 2 - javax.xml.stream + reactor.core 2 3 - org.testcontainers.containers.wait.strategy + org.junit.runner 2 4 - com.fasterxml.jackson.datatype.jsr310 + javax.xml.stream 2 5 - org.quartz.impl.matchers + com.fasterxml.jackson.datatype.jsr310 2 6 - reactor.core + org.testcontainers.containers.wait.strategy 2 7 - org.junit.runner + org.quartz.impl.matchers 2 8 - com.fasterxml.jackson.databind.type + org.dom4j.io 3 9 - reactor.util.concurrent + com.fasterxml.jackson.databind.type 3 @@ -302,12 +302,12 @@ This table identifies external packages that aren't used very often. This could 11 - org.dom4j.io + com.fasterxml.jackson.databind.jsontype 3 12 - com.fasterxml.jackson.databind.jsontype + reactor.util.concurrent 3 @@ -327,12 +327,12 @@ This table identifies external packages that aren't used very often. This could 16 - org.junit.runners.model + org.testcontainers.containers 8 17 - org.testcontainers.containers + org.junit.runners.model 8 @@ -396,7 +396,7 @@ The following table shows the most used external packages separately for each ar 9 28 39 - [LoggerFactory, Logger] + [Logger, LoggerFactory] 2 @@ -414,7 +414,7 @@ The following table shows the most used external packages separately for each ar 9 29 22 - [EventHandler, LifecycleAware, RingBuffer, Exc... + [RingBuffer, ExceptionHandler, WaitStrategy, B... 4 @@ -446,11 +446,11 @@ The following table shows the most used external packages separately for each ar 62 axon-test-4.7.5 - org.junit.runners.model + org.testcontainers.containers.wait.strategy + 2 2 - 8 85 - [Statement] + [Wait] 63 @@ -538,7 +538,7 @@ The next table lists internal packages and the artifacts they belong to that use 26 115 40 - [Signal, MonoSink, Flux, Sinks$ManySpec, Emitt... + [FluxSink$OverflowStrategy, Signal, Flux, Mono... queryhandling @@ -549,7 +549,7 @@ The next table lists internal packages and the artifacts they belong to that use 19 95 6 - [Scheduler, Job, SchedulerContext, JobExecutio... + [JobDataMap, Trigger, SchedulerContext, JobKey... quartz @@ -560,7 +560,7 @@ The next table lists internal packages and the artifacts they belong to that use 18 131 4 - [JobDataMap, Trigger, JobDetail, Scheduler, Sc... + [JobExecutionContext, SchedulerContext, JobDat... quartz @@ -571,7 +571,7 @@ The next table lists internal packages and the artifacts they belong to that use 15 55 93 - [Logger, LoggerFactory] + [LoggerFactory, Logger] eventhandling @@ -582,7 +582,7 @@ The next table lists internal packages and the artifacts they belong to that use 15 73 7 - [JsonNode, ObjectMapper, ObjectWriter, ObjectR... + [JsonNode, DeserializationContext, JsonDeseria... json @@ -593,7 +593,7 @@ The next table lists internal packages and the artifacts they belong to that use 13 59 20 - [Logger, LoggerFactory] + [LoggerFactory, Logger] pooled @@ -604,7 +604,7 @@ The next table lists internal packages and the artifacts they belong to that use 12 22 22 - [Logger, LoggerFactory] + [LoggerFactory, Logger] commandhandling @@ -615,7 +615,7 @@ The next table lists internal packages and the artifacts they belong to that use 9 28 39 - [LoggerFactory, Logger] + [Logger, LoggerFactory] config @@ -626,7 +626,7 @@ The next table lists internal packages and the artifacts they belong to that use 9 29 22 - [ExceptionHandler, RingBuffer, EventHandler, L... + [RingBuffer, EventHandler, WaitStrategy, Block... commandhandling @@ -659,7 +659,7 @@ The next table lists internal packages and the artifacts they belong to that use 8 34 12 - [CacheEntryListener, CacheEntryListenerExcepti... + [CacheEntryListener, CacheEntryRemovedListener... caching @@ -670,7 +670,7 @@ The next table lists internal packages and the artifacts they belong to that use 8 15 54 - [LoggerFactory, Logger] + [Logger, LoggerFactory] annotation @@ -703,7 +703,7 @@ The next table lists internal packages and the artifacts they belong to that use 7 16 40 - [LoggerFactory, Logger] + [Logger, LoggerFactory] queryhandling @@ -714,7 +714,7 @@ The next table lists internal packages and the artifacts they belong to that use 7 136 19 - [StringDescription, Description, CoreMatchers,... + [Matcher, StringDescription, Description, Core... aggregate @@ -743,22 +743,22 @@ The next table lists internal packages and the artifacts they belong to that use 20 axon-messaging-4.7.5 org.axonframework.serialization - com.thoughtworks.xstream.io + com.thoughtworks.xstream.converters 6 - 39 + 12 34 - [HierarchicalStreamWriter, HierarchicalStreamR... + [UnmarshallingContext, MarshallingContext] serialization 21 axon-messaging-4.7.5 org.axonframework.serialization - com.thoughtworks.xstream.converters + com.thoughtworks.xstream.io 6 - 12 + 39 34 - [MarshallingContext, UnmarshallingContext] + [HierarchicalStreamWriter, HierarchicalStreamR... serialization @@ -769,7 +769,7 @@ The next table lists internal packages and the artifacts they belong to that use 6 68 7 - [TypedQuery, EntityNotFoundException, EntityMa... + [EntityManagerFactory, TypedQuery, Query, Enti... jpa @@ -780,7 +780,7 @@ The next table lists internal packages and the artifacts they belong to that use 5 22 22 - [Disruptor, EventHandlerGroup, ProducerType] + [ProducerType, Disruptor, EventHandlerGroup] commandhandling @@ -791,7 +791,7 @@ The next table lists internal packages and the artifacts they belong to that use 5 42 7 - [EntityManager, Query, TypedQuery, EntityExist... + [EntityExistsException, Index, EntityManager, ... jpa @@ -824,7 +824,7 @@ The next table lists internal packages and the artifacts they belong to that use 5 16 15 - [LoggerFactory, Logger] + [Logger, LoggerFactory] async @@ -835,7 +835,7 @@ The next table lists internal packages and the artifacts they belong to that use 5 54 9 - [Query, NoResultException, TypedQuery, EntityM... + [Index, EntityManager, TypedQuery, NoResultExc... jpa @@ -846,7 +846,7 @@ The next table lists internal packages and the artifacts they belong to that use 5 64 4 - [LockModeType, Query, TypedQuery, EntityManager] + [LockModeType, TypedQuery, EntityManager, Query] jpa @@ -902,8 +902,8 @@ This table lists the internal types that utilize the most different external typ 29 6 9 - [com.fasterxml.jackson.core, com.fasterxml.jac... - [com.fasterxml.jackson.core.JsonProcessingExce... + [javax.annotation, com.fasterxml.jackson.datab... + [javax.annotation.Nonnull, com.fasterxml.jacks... json org.axonframework.serialization.json.JacksonSe... @@ -916,8 +916,8 @@ This table lists the internal types that utilize the most different external typ 22 5 7 - [nu.xom, com.thoughtworks.xstream.io.xml, org.... - [nu.xom.Document, com.thoughtworks.xstream.io.... + [org.slf4j, com.thoughtworks.xstream, org.dom4... + [org.slf4j.Logger, org.slf4j.LoggerFactory, co... xml org.axonframework.serialization.xml.XStreamSer... @@ -925,13 +925,13 @@ This table lists the internal types that utilize the most different external typ 2 axon-disruptor-4.7.5 org.axonframework.disruptor.commandhandling - DisruptorCommandBus$DisruptorRepository - 4 - 14 - 4 + DisruptorCommandBus + 6 + 34 4 - [com.lmax.disruptor, org.slf4j, javax.annotati... - [com.lmax.disruptor.RingBuffer, org.slf4j.Logg... + 6 + [org.slf4j, com.lmax.disruptor, javax.annotati... + [org.slf4j.Logger, com.lmax.disruptor.RingBuff... commandhandling org.axonframework.disruptor.commandhandling.Di... @@ -939,13 +939,13 @@ This table lists the internal types that utilize the most different external typ 3 axon-disruptor-4.7.5 org.axonframework.disruptor.commandhandling - DisruptorCommandBus - 6 - 34 + DisruptorCommandBus$DisruptorRepository 4 - 6 - [org.slf4j, com.lmax.disruptor.dsl, javax.anno... - [org.slf4j.Logger, com.lmax.disruptor.dsl.Even... + 14 + 4 + 4 + [org.slf4j, com.lmax.disruptor, javax.annotati... + [org.slf4j.Logger, com.lmax.disruptor.RingBuff... commandhandling org.axonframework.disruptor.commandhandling.Di... @@ -958,8 +958,8 @@ This table lists the internal types that utilize the most different external typ 78 4 13 - [org.quartz.impl.matchers, org.slf4j, org.quar... - [org.quartz.impl.matchers.GroupMatcher, org.sl... + [javax.annotation, org.slf4j, org.quartz, org.... + [javax.annotation.Nonnull, org.slf4j.Logger, o... quartz org.axonframework.deadline.quartz.QuartzDeadli... @@ -972,8 +972,8 @@ This table lists the internal types that utilize the most different external typ 17 4 7 - [reactor.core.publisher, com.fasterxml.jackson... - [reactor.core.publisher.Mono, com.fasterxml.ja... + [org.slf4j, com.fasterxml.jackson.annotation, ... + [org.slf4j.Logger, org.slf4j.LoggerFactory, co... responsetypes org.axonframework.messaging.responsetypes.Mult... @@ -986,8 +986,8 @@ This table lists the internal types that utilize the most different external typ 33 4 13 - [reactor.core.publisher, org.reactivestreams, ... - [reactor.core.publisher.Sinks$ManySpec, reacto... + [javax.annotation, org.slf4j, org.reactivestre... + [javax.annotation.Nonnull, org.slf4j.Logger, o... queryhandling org.axonframework.queryhandling.SimpleQueryUpd... @@ -1000,8 +1000,8 @@ This table lists the internal types that utilize the most different external typ 55 4 6 - [org.slf4j, org.reactivestreams, javax.annotat... - [org.slf4j.LoggerFactory, org.reactivestreams.... + [javax.annotation, org.slf4j, org.reactivestre... + [javax.annotation.Nonnull, org.slf4j.Logger, o... queryhandling org.axonframework.queryhandling.SimpleQueryBus @@ -1009,27 +1009,27 @@ This table lists the internal types that utilize the most different external typ 8 axon-messaging-4.7.5 org.axonframework.serialization - GapAwareTrackingTokenConverter + AbstractXStreamSerializer$MetaDataConverter 6 - 25 + 14 4 6 - [com.thoughtworks.xstream.io, com.thoughtworks... - [com.thoughtworks.xstream.io.HierarchicalStrea... + [com.thoughtworks.xstream.converters.collectio... + [com.thoughtworks.xstream.converters.collectio... serialization - org.axonframework.serialization.GapAwareTracki... + org.axonframework.serialization.AbstractXStrea... 9 axon-messaging-4.7.5 org.axonframework.serialization - GapAwareTrackingTokenConverter$ReflectivelyCon... + GapAwareTrackingTokenConverter 6 25 4 6 - [com.thoughtworks.xstream.converters.collectio... - [com.thoughtworks.xstream.converters.collectio... + [com.thoughtworks.xstream.mapper, com.thoughtw... + [com.thoughtworks.xstream.mapper.Mapper, com.t... serialization org.axonframework.serialization.GapAwareTracki... @@ -1037,15 +1037,15 @@ This table lists the internal types that utilize the most different external typ 10 axon-messaging-4.7.5 org.axonframework.serialization - AbstractXStreamSerializer$MetaDataConverter + GapAwareTrackingTokenConverter$ReflectivelyCon... 6 - 14 + 25 4 6 - [com.thoughtworks.xstream.converters.collectio... - [com.thoughtworks.xstream.converters.collectio... + [com.thoughtworks.xstream.mapper, com.thoughtw... + [com.thoughtworks.xstream.mapper.Mapper, com.t... serialization - org.axonframework.serialization.AbstractXStrea... + org.axonframework.serialization.GapAwareTracki... 11 @@ -1056,8 +1056,8 @@ This table lists the internal types that utilize the most different external typ 21 4 6 - [com.fasterxml.jackson.core, com.fasterxml.jac... - [com.fasterxml.jackson.core.JacksonException, ... + [com.fasterxml.jackson.databind.type, com.fast... + [com.fasterxml.jackson.databind.type.TypeFacto... json org.axonframework.serialization.json.MetaDataD... @@ -1070,8 +1070,8 @@ This table lists the internal types that utilize the most different external typ 5 3 3 - [com.lmax.disruptor, com.lmax.disruptor.dsl, o... - [com.lmax.disruptor.ExceptionHandler, com.lmax... + [org.slf4j, com.lmax.disruptor.dsl, com.lmax.d... + [org.slf4j.Logger, com.lmax.disruptor.dsl.Disr... commandhandling org.axonframework.disruptor.commandhandling.Di... @@ -1084,8 +1084,8 @@ This table lists the internal types that utilize the most different external typ 11 3 4 - [javax.annotation, org.slf4j, com.lmax.disruptor] - [javax.annotation.Nonnull, org.slf4j.LoggerFac... + [org.slf4j, com.lmax.disruptor, javax.annotation] + [org.slf4j.Logger, com.lmax.disruptor.RingBuff... commandhandling org.axonframework.disruptor.commandhandling.Bl... @@ -1098,8 +1098,8 @@ This table lists the internal types that utilize the most different external typ 47 3 6 - [org.slf4j, jakarta.persistence, javax.annotat... - [org.slf4j.Logger, jakarta.persistence.EntityM... + [javax.annotation, org.slf4j, jakarta.persiste... + [javax.annotation.Nonnull, org.slf4j.Logger, o... jpa org.axonframework.eventsourcing.eventstore.jpa... @@ -1113,7 +1113,7 @@ This table lists the internal types that utilize the most different external typ 3 4 [org.slf4j, javax.sql, jakarta.persistence] - [org.slf4j.LoggerFactory, org.slf4j.Logger, ja... + [org.slf4j.Logger, org.slf4j.LoggerFactory, ja... jpa org.axonframework.eventsourcing.eventstore.jpa... @@ -1121,13 +1121,13 @@ This table lists the internal types that utilize the most different external typ 16 axon-eventsourcing-4.7.5 org.axonframework.eventsourcing.eventstore.leg... - SQLErrorCodesResolver - 4 - 12 + JpaEventStorageEngine + 6 + 47 3 - 4 - [org.slf4j, javax.sql, javax.persistence] - [org.slf4j.LoggerFactory, javax.sql.DataSource... + 6 + [javax.annotation, org.slf4j, javax.persistence] + [javax.annotation.Nonnull, org.slf4j.Logger, o... legacyjpa org.axonframework.eventsourcing.eventstore.leg... @@ -1135,13 +1135,13 @@ This table lists the internal types that utilize the most different external typ 17 axon-eventsourcing-4.7.5 org.axonframework.eventsourcing.eventstore.leg... - JpaEventStorageEngine - 6 - 47 + SQLErrorCodesResolver + 4 + 12 3 - 6 - [javax.persistence, org.slf4j, javax.annotation] - [javax.persistence.Query, org.slf4j.LoggerFact... + 4 + [org.slf4j, javax.sql, javax.persistence] + [org.slf4j.Logger, org.slf4j.LoggerFactory, ja... legacyjpa org.axonframework.eventsourcing.eventstore.leg... @@ -1155,7 +1155,7 @@ This table lists the internal types that utilize the most different external typ 3 5 [javax.annotation, org.slf4j, org.jobrunr.sche... - [javax.annotation.Nonnull, org.slf4j.LoggerFac... + [javax.annotation.Nonnull, javax.annotation.Nu... jobrunr org.axonframework.deadline.jobrunr.JobRunrDead... @@ -1168,8 +1168,8 @@ This table lists the internal types that utilize the most different external typ 74 3 7 - [javax.annotation, jakarta.persistence, org.sl... - [javax.annotation.Nonnull, jakarta.persistence... + [javax.annotation, org.slf4j, jakarta.persiste... + [javax.annotation.Nonnull, org.slf4j.Logger, o... jpa org.axonframework.eventhandling.deadletter.jpa... @@ -1215,43 +1215,27 @@ Have a look above to find out which types have the highest external package depe axon-configuration-4.7.5 39 1 - 5 - 12.820513 + 12 + 30.769231 1 axon-disruptor-4.7.5 22 1 - 2 - 9.090909 + 6 + 27.272727 2 - axon-disruptor-4.7.5 - 22 - 2 - 4 - 18.181818 - - - 3 - axon-disruptor-4.7.5 - 22 - 3 - 3 - 13.636364 - - - 4 axon-eventsourcing-4.7.5 130 1 - 12 - 9.230769 + 28 + 21.538462 - 5 + 3 axon-eventsourcing-4.7.5 130 2 @@ -1259,92 +1243,44 @@ Have a look above to find out which types have the highest external package depe 2.307692 - 6 - axon-eventsourcing-4.7.5 - 130 - 3 - 2 - 1.538462 - - - 7 + 4 axon-messaging-4.7.5 729 1 - 100 - 13.717421 + 215 + 29.492455 - 8 - axon-messaging-4.7.5 - 729 - 2 - 29 - 3.978052 - - - 9 - axon-messaging-4.7.5 - 729 - 3 - 5 - 0.685871 - - - 10 - axon-messaging-4.7.5 - 729 - 4 - 4 - 0.548697 - - - 11 + 5 axon-messaging-4.7.5 729 - 5 2 - 0.274348 + 13 + 1.783265 - 12 + 6 axon-modelling-4.7.5 149 1 - 10 - 6.711409 + 35 + 23.489933 - 13 + 7 axon-modelling-4.7.5 149 2 - 3 - 2.013423 - - - 14 - axon-test-4.7.5 - 85 - 1 - 28 - 32.941176 - - - 15 - axon-test-4.7.5 - 85 - 2 2 - 2.352941 + 1.342282 - 16 + 8 axon-test-4.7.5 85 - 3 - 3 - 3.529412 + 1 + 10 + 11.764706 @@ -1384,47 +1320,20 @@ The following table uses the same data as Table 6 but has a column per internal 1 - 12.820513 - 9.090909 - 9.230769 - 13.717421 - 6.711409 - 32.941176 + 30.769231 + 27.272727 + 21.538462 + 29.492455 + 23.489933 + 11.764706 2 0.000000 - 18.181818 - 2.307692 - 3.978052 - 2.013423 - 2.352941 - - - 3 - 0.000000 - 13.636364 - 1.538462 - 0.685871 - 0.000000 - 3.529412 - - - 4 - 0.000000 - 0.000000 - 0.000000 - 0.548697 - 0.000000 - 0.000000 - - - 5 - 0.000000 - 0.000000 - 0.000000 - 0.274348 0.000000 + 2.307692 + 1.783265 + 1.342282 0.000000 @@ -1491,44 +1400,44 @@ If Maven is used as for package and dependency management and a ".pom" file is i Axon Framework - Configuration test False - ${project.groupId} - axon-messaging + org.hsqldb + hsqldb 1 axon-configuration Axon Framework - Configuration - test + provided False - org.hsqldb - hsqldb + com.google.code.findbugs + jsr305 2 axon-configuration Axon Framework - Configuration - default + test True - jakarta.annotation - jakarta.annotation-api + io.projectreactor + reactor-core 3 axon-configuration Axon Framework - Configuration - default + test False - ${project.groupId} - axon-disruptor + org.quartz-scheduler + quartz 4 axon-configuration Axon Framework - Configuration - test + default False - jakarta.persistence - jakarta.persistence-api + ${project.groupId} + axon-disruptor ... @@ -1543,19 +1452,19 @@ If Maven is used as for package and dependency management and a ".pom" file is i 104 axon-test Axon Framework - Test Fixtures - test - False - javax.inject - javax.inject + default + True + org.testcontainers + testcontainers 105 axon-test Axon Framework - Test Fixtures default - False - org.junit.jupiter - junit-jupiter + True + junit + junit 106 @@ -1571,18 +1480,18 @@ If Maven is used as for package and dependency management and a ".pom" file is i axon-test Axon 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-"org.axonframework.eventhandling","org.axonframework.messaging.annotation",0.84,23,2,"AllowReplay->HasHandlerAttributes,TimestampParameterResolverFactory->ParameterResolver,TimestampParameterResolverFactory->AbstractAnnotatedParameterResolverFactory,SequenceNumberParameterResolverFactory$SequenceNumberParameterResolver->ParameterResolver,ConcludesBatchParameterResolverFactory->AbstractAnnotatedParameterResolverFactory,ConcludesBatchParameterResolverFactory->ParameterResolver,SimpleEventHandlerInvoker$Builder->HandlerDefinition,SimpleEventHandlerInvoker$Builder->ParameterResolverFactory,ResetHandler->MessageHandler,EventHandler->MessageHandler,AnnotationEventHandlerAdapter->MessageHandlingMember,AnnotationEventHandlerAdapter->ClasspathParameterResolverFactory,AnnotationEventHandlerAdapter->MessageHandlerInterceptorMemberChain,AnnotationEventHandlerAdapter->AnnotatedHandlerInspector,AnnotationEventHandlerAdapter->ParameterResolverFactory,AnnotationEventHandlerAdapter->HandlerDefinition,AnnotationEventHandlerAdapter->ClasspathHandlerDefinition,SequenceNumberParameterResolverFactory->ParameterResolver,SequenceNumberParameterResolverFactory->AbstractAnnotatedParameterResolverFactory,TrackingTokenParameterResolverFactory->ParameterResolver,TrackingTokenParameterResolverFactory->ParameterResolverFactory,TimestampParameterResolverFactory$TimestampParameterResolver->ParameterResolver,TrackingTokenParameterResolverFactory$TrackingTokenParameterResolver->ParameterResolver","SourceIdParameterResolverFactory$SourceIdParameterResolver->DomainEventMessage,AggregateTypeParameterResolverFactory$AggregateTypeParameterResolver->DomainEventMessage","" -"org.axonframework.queryhandling","org.axonframework.tracing",0.8,9,1,"SimpleQueryUpdateEmitter->Span,SimpleQueryUpdateEmitter->SpanFactory,SimpleQueryBus$Builder->SpanFactory,SimpleQueryBus$Builder->NoOpSpanFactory,SimpleQueryBus->Span,SimpleQueryBus->SpanScope,SimpleQueryBus->SpanFactory,SimpleQueryUpdateEmitter$Builder->SpanFactory,SimpleQueryUpdateEmitter$Builder->NoOpSpanFactory","SpanUtils->QueryMessage","" -"org.axonframework.eventsourcing","org.axonframework.eventsourcing.eventstore",0.7777777777777778,16,2,"AbstractSnapshotter$Builder->EventStore,AggregateCacheEntry->EventStore,AbstractSnapshotter$CreateSnapshotTask->EventStore,AbstractSnapshotter$CreateSnapshotTask->DomainEventStream,FilteringEventStorageEngine->DomainEventStream,FilteringEventStorageEngine->EventStorageEngine,AbstractSnapshotter->DomainEventStream,AbstractSnapshotter->EventStore,EventSourcedAggregate->DomainEventStream,EventSourcingRepository->EventStore,EventSourcingRepository->DomainEventStream,CachingEventSourcingRepository->EventStore,EventStreamUtils->DomainEventStream,EventSourcingRepository$Builder->EventStore,AggregateSnapshotter->DomainEventStream,AggregateSnapshotter$Builder->EventStore","DomainEventStream->EventStreamUtils,AbstractEventStorageEngine->EventStreamUtils","" -"org.axonframework.deadline","org.axonframework.tracing",0.75,7,1,"SimpleDeadlineManager->Span,SimpleDeadlineManager->SpanFactory,SimpleDeadlineManager$DeadlineTask->SpanFactory,SimpleDeadlineManager$DeadlineTask->Span,SimpleDeadlineManager$DeadlineTask->SpanScope,SimpleDeadlineManager$Builder->SpanFactory,SimpleDeadlineManager$Builder->NoOpSpanFactory","SpanUtils->DeadlineMessage","" -"org.axonframework.commandhandling.callbacks","org.axonframework.commandhandling",0.7333333333333333,13,2,"NoOpCallback->CommandMessage,NoOpCallback->CommandCallback,NoOpCallback->CommandResultMessage,FutureCallback->GenericCommandResultMessage,FutureCallback->CommandMessage,FutureCallback->CommandResultMessage,FutureCallback->CommandCallback,FailureLoggingCallback->CommandMessage,FailureLoggingCallback->CommandCallback,FailureLoggingCallback->CommandResultMessage,LoggingCallback->CommandMessage,LoggingCallback->CommandCallback,LoggingCallback->CommandResultMessage","SimpleCommandBus$Builder->NoOpCallback,SimpleCommandBus$Builder->LoggingCallback","" -"org.axonframework.commandhandling","org.axonframework.tracing",0.6666666666666666,5,1,"SimpleCommandBus$Builder->SpanFactory,SimpleCommandBus$Builder->NoOpSpanFactory,AsynchronousCommandBus$Builder->SpanFactory,SimpleCommandBus->Span,SimpleCommandBus->SpanFactory","SpanUtils->CommandMessage","" -"org.axonframework.eventhandling","org.axonframework.serialization",0.6470588235294118,14,3,"GenericEventMessage->CachingSupplier,TrackedDomainEventData->SerializedObject,EventUtils->Serializer,EventUtils->LazyDeserializingObject,EventUtils->SerializedMessage,AbstractEventEntry->SerializedMetaData,AbstractEventEntry->Serializer,AbstractEventEntry->SimpleSerializedType,AbstractEventEntry->SerializedType,AbstractEventEntry->SerializedObject,AbstractEventEntry->SimpleSerializedObject,AbstractSequencedDomainEventEntry->Serializer,EventData->SerializedObject,AbstractDomainEventEntry->Serializer","AbstractXStreamSerializer->GenericEventMessage,AbstractXStreamSerializer->GenericDomainEventMessage,GapAwareTrackingTokenConverter->GapAwareTrackingToken","" -"org.axonframework.messaging.unitofwork","org.axonframework.messaging",0.6470588235294118,14,3,"MessageProcessingContext->Message,BatchingUnitOfWork->ResultMessage,BatchingUnitOfWork->GenericResultMessage,BatchingUnitOfWork->Message,ExecutionResult->ResultMessage,DefaultUnitOfWork->GenericResultMessage,DefaultUnitOfWork->ResultMessage,DefaultUnitOfWork->Message,AbstractUnitOfWork->MetaData,AbstractUnitOfWork->Message,CurrentUnitOfWork->MetaData,UnitOfWork->Message,UnitOfWork->MetaData,UnitOfWork->ResultMessage","GenericMessage->CurrentUnitOfWork,MessageHandlerInterceptor->UnitOfWork,DefaultInterceptorChain->UnitOfWork","" -"org.axonframework.eventhandling.async","org.axonframework.eventhandling",0.5384615384615384,10,3,"PropertySequencingPolicy$Builder->EventMessage,EventProcessorTask->EventMessage,SequentialPerAggregatePolicy->DomainEventMessage,SequentialPerAggregatePolicy->EventMessage,PropertySequencingPolicy->EventMessage,EventProcessorTask$ProcessingTask->EventMessage,FullConcurrencyPolicy->EventMessage,PropertySequencingPolicy$Builder$ExceptionRaisingSequencingPolicy->EventMessage,AsynchronousEventProcessingStrategy->EventProcessingStrategy,AsynchronousEventProcessingStrategy->EventMessage","SimpleEventHandlerInvoker$Builder->SequentialPerAggregatePolicy,SimpleEventHandlerInvoker->SequencingPolicy,SimpleEventHandlerInvoker$Builder->SequencingPolicy","" -"org.axonframework.eventhandling.replay","org.axonframework.eventhandling",0.45454545454545453,8,3,"ReplayParameterResolverFactory->ReplayStatus,ReplayParameterResolverFactory$ReplayParameterResolver->ReplayStatus,ReplayParameterResolverFactory$ReplayParameterResolver->ReplayToken,ReplayAwareMessageHandlerWrapper->AllowReplay,ReplayContextParameterResolverFactory$ReplayContextParameterResolver->ReplayToken,ReplayContextParameterResolverFactory$ReplayContextParameterResolver->TrackedEventMessage,ReplayContextParameterResolverFactory$ReplayContextParameterResolver->EventMessage,ReplayAwareMessageHandlerWrapper$ReplayBlockingMessageHandlingMember->ReplayToken","ResetHandler->ResetContext,AnnotationEventHandlerAdapter->ResetContext,AnnotationEventHandlerAdapter->GenericResetContext","" -"org.axonframework.serialization.upcasting.event","org.axonframework.eventhandling",0.3333333333333333,6,3,"InitialEventRepresentation->DomainEventData,InitialEventRepresentation->TrackedEventData,InitialEventRepresentation->TrackingToken,InitialEventRepresentation->EventData,IntermediateEventRepresentation->TrackingToken,UpcastedEventRepresentation->TrackingToken","EventUtils->EventUpcaster,EventUtils->InitialEventRepresentation,EventUtils->IntermediateEventRepresentation","" -"org.axonframework.eventsourcing.eventstore.jdbc","org.axonframework.eventsourcing.eventstore.jdbc.statements",0.3170731707317073,27,14,"JdbcEventStorageEngine->AppendSnapshotStatementBuilder,JdbcEventStorageEngine->CreateTokenAtStatementBuilder,JdbcEventStorageEngine->FetchTrackedEventsStatementBuilder,JdbcEventStorageEngine->LastSequenceNumberForStatementBuilder,JdbcEventStorageEngine->ReadEventDataWithoutGapsStatementBuilder,JdbcEventStorageEngine->ReadEventDataWithGapsStatementBuilder,JdbcEventStorageEngine->AppendEventsStatementBuilder,JdbcEventStorageEngine->CleanGapsStatementBuilder,JdbcEventStorageEngine->ReadEventDataForAggregateStatementBuilder,JdbcEventStorageEngine->CreateHeadTokenStatementBuilder,JdbcEventStorageEngine->DeleteSnapshotsStatementBuilder,JdbcEventStorageEngine->ReadSnapshotDataStatementBuilder,JdbcEventStorageEngine->CreateTailTokenStatementBuilder,JdbcEventStorageEngine$Builder->CreateTailTokenStatementBuilder,JdbcEventStorageEngine$Builder->FetchTrackedEventsStatementBuilder,JdbcEventStorageEngine$Builder->ReadEventDataForAggregateStatementBuilder,JdbcEventStorageEngine$Builder->AppendEventsStatementBuilder,JdbcEventStorageEngine$Builder->ReadEventDataWithoutGapsStatementBuilder,JdbcEventStorageEngine$Builder->ReadSnapshotDataStatementBuilder,JdbcEventStorageEngine$Builder->JdbcEventStorageEngineStatements,JdbcEventStorageEngine$Builder->CleanGapsStatementBuilder,JdbcEventStorageEngine$Builder->DeleteSnapshotsStatementBuilder,JdbcEventStorageEngine$Builder->ReadEventDataWithGapsStatementBuilder,JdbcEventStorageEngine$Builder->CreateTokenAtStatementBuilder,JdbcEventStorageEngine$Builder->AppendSnapshotStatementBuilder,JdbcEventStorageEngine$Builder->LastSequenceNumberForStatementBuilder,JdbcEventStorageEngine$Builder->CreateHeadTokenStatementBuilder","CleanGapsStatementBuilder->EventSchema,CreateTailTokenStatementBuilder->EventSchema,ReadEventDataWithoutGapsStatementBuilder->EventSchema,DeleteSnapshotsStatementBuilder->EventSchema,ReadSnapshotDataStatementBuilder->EventSchema,AppendSnapshotStatementBuilder->EventSchema,CreateTokenAtStatementBuilder->EventSchema,FetchTrackedEventsStatementBuilder->EventSchema,CreateHeadTokenStatementBuilder->EventSchema,JdbcEventStorageEngineStatements->EventSchema,ReadEventDataWithGapsStatementBuilder->EventSchema,ReadEventDataForAggregateStatementBuilder->EventSchema,LastSequenceNumberForStatementBuilder->EventSchema,AppendEventsStatementBuilder->EventSchema","" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command",0.25,20,12,"AggregateMemberAnnotatedChildEntityCollectionDefinition->ForwardingMode,AbstractChildEntityDefinition->AggregateMember,AbstractChildEntityDefinition->ForwardingMode,MethodCreationPolicyDefinition->CreationPolicy,ChildForwardingCommandMessageHandlingMember->AggregateEntityNotFoundException,CreationPolicyMember->AggregateCreationPolicy,AggregateMemberAnnotatedChildEntityMapDefinition->ForwardingMode,MethodCreationPolicyDefinition$MethodCreationPolicyHandlingMember->AggregateCreationPolicy,AnnotatedAggregate->AggregateEntityNotFoundException,AnnotatedAggregate->Aggregate,AnnotatedAggregate->RepositoryProvider,AnnotatedAggregate->AggregateLifecycle,AnnotatedAggregate->Repository,AnnotatedAggregate->AggregateInvocationException,AnnotatedAggregate->ApplyMore,AggregateMemberAnnotatedChildEntityDefinition->ForwardingMode,MethodCommandHandlerInterceptorDefinition->CommandHandlerInterceptor,AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->EntityId,AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->AggregateRoot,AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->AggregateVersion","ForwardingMode->EntityModel,ForwardMatchingInstances->EntityModel,AbstractRepository$Builder->AnnotatedAggregateMetaModelFactory,AggregateAnnotationCommandHandler$Builder->AnnotatedAggregateMetaModelFactory,LockingRepository$Builder->AggregateModel,GenericJpaRepository$Builder->AggregateModel,AbstractRepository$Builder->AggregateModel,AggregateAnnotationCommandHandler->AggregateModel,AggregateAnnotationCommandHandler$Builder->AggregateModel,AbstractRepository->AggregateModel,AggregateAnnotationCommandHandler->CreationPolicyMember,GenericJpaRepository->AnnotatedAggregate","" -"org.axonframework.queryhandling.registration","org.axonframework.queryhandling",0.25,5,3,"DuplicateQueryHandlerResolution->QuerySubscription,LoggingDuplicateQueryHandlerResolver->QuerySubscription,DuplicateQueryHandlerSubscriptionException->QuerySubscription,DuplicateQueryHandlerResolver->QuerySubscription,FailingDuplicateQueryHandlerResolver->QuerySubscription","SimpleQueryBus$Builder->DuplicateQueryHandlerResolution,SimpleQueryBus$Builder->DuplicateQueryHandlerResolver,SimpleQueryBus->DuplicateQueryHandlerResolver","" -"org.axonframework.messaging","org.axonframework.serialization",0.23809523809523808,13,8,"GenericResultMessage->Serializer,GenericResultMessage->SerializedObject,ResultMessage->SerializedObject,ResultMessage->Serializer,GenericMessage->SerializedObject,GenericMessage->Serializer,GenericMessage->SerializedObjectHolder,MessageDecorator->Serializer,MessageDecorator->SerializedObject,Headers->SerializedType,Headers->SerializedObject,Message->Serializer,Message->SerializedObject","SerializedMessage->GenericMessage,SerializedMessage->AbstractMessage,SerializedMessage->MetaData,SerializedMetaData->MetaData,AbstractXStreamSerializer->MetaData,AbstractXStreamSerializer$MetaDataConverter->MetaData,SerializedMessage->Message,SerializedObjectHolder->Message","" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore",0.23076923076923078,8,5,"TrackingEventProcessor->TokenStore,TrackingEventProcessor->UnableToClaimTokenException,TrackingEventProcessor$MergeSegmentInstruction->TokenStore,TrackingEventProcessor$SplitSegmentInstruction->TokenStore,TrackingEventProcessor$WorkerLauncher->TokenStore,TrackingEventProcessor$WorkerLauncher->UnableToClaimTokenException,TrackingEventProcessor$Instruction->UnableToClaimTokenException,TrackingEventProcessor$Builder->TokenStore","TokenStore->Segment,TokenStore->TrackingToken,ConfigToken->TrackingToken,AbstractTokenEntry->TrackingToken,GenericTokenEntry->TrackingToken","" -"org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors",0.2,3,2,"MessageHandlerInterceptorDefinition->MessageHandlerInterceptor,MessageHandlerInterceptorDefinition->ResultHandler,ResultParameterResolverFactory->ResultHandler","ResultHandler->HasHandlerAttributes,MessageHandlerInterceptor->MessageHandler","" -"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel",0.14285714285714285,4,3,"AnnotatedSagaManager$Builder->AnnotationSagaMetaModelFactory,AnnotatedSagaManager$Builder->SagaModel,AnnotatedSagaManager->SagaModel,AnnotatedSaga->SagaModel","SagaModel->AssociationValue,AnnotationSagaMetaModelFactory$InspectedSagaModel->AssociationValue,AnnotationSagaMetaModelFactory$InspectedSagaModel->SagaMethodMessageHandlingMember","" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed",0.07692307692307693,7,6,"OrCommandMessageFilter->CommandMessageFilter,DenyAll->CommandMessageFilter,NegateCommandMessageFilter->CommandMessageFilter,AndCommandMessageFilter->CommandMessageFilter,DenyCommandNameFilter->CommandMessageFilter,CommandNameFilter->CommandMessageFilter,AcceptAll->CommandMessageFilter","CommandMessageFilter->OrCommandMessageFilter,DistributedCommandBus->DenyAll,CommandMessageFilter->NegateCommandMessageFilter,CommandMessageFilter->AndCommandMessageFilter,DistributedCommandBus->DenyCommandNameFilter,DistributedCommandBus->CommandNameFilter","" +"packageName","dependentPackageName","forwardToBackwardBalance","numberForward","numberBackward","forwardDependencies","backwardDependencies","Source Cypher File: Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher" +"org.axonframework.queryhandling","org.axonframework.messaging.responsetypes",0.8823529411764706,16,1,"StreamingQueryMessage->ResponseType,DefaultQueryGateway->ResponseType,GenericStreamingQueryMessage->PublisherResponseType,GenericStreamingQueryMessage->ResponseType,SubscriptionQueryMessage->ResponseType,GenericQueryMessage->ResponseType,GenericSubscriptionQueryMessage->ResponseType,SimpleQueryUpdateEmitter->ResponseType,SimpleQueryUpdateEmitter->MultipleInstancesResponseType,SimpleQueryUpdateEmitter->OptionalResponseType,SimpleQueryUpdateEmitter->PublisherResponseType,SimpleQueryBus->ResponseType,QueryMessage->ResponseType,QuerySubscription->ResponseType,QueryGateway->ResponseTypes,QueryGateway->ResponseType","ConvertingResponseMessage->QueryResponseMessage","" +"org.axonframework.eventhandling","org.axonframework.tracing",0.8571428571428571,13,1,"AbstractEventProcessor$Builder->SpanFactory,AbstractEventProcessor$Builder->NoOpSpanFactory,TrackingEventProcessor->SpanFactory,TrackingEventProcessor->Span,AbstractEventBus$Builder->NoOpSpanFactory,AbstractEventBus$Builder->SpanFactory,TrackingEventProcessor$Builder->SpanFactory,SubscribingEventProcessor$Builder->SpanFactory,AbstractEventProcessor->SpanFactory,AbstractEventProcessor->Span,AbstractEventBus->SpanFactory,AbstractEventBus->Span,SimpleEventBus$Builder->SpanFactory","NestingSpanFactory->EventMessage","" +"org.axonframework.eventhandling","org.axonframework.messaging",0.8536585365853658,38,3,"TrackingTokenParameterResolverFactory$TrackingTokenParameterResolver->Message,MultiStreamableMessageSource$IdentifiedStreamableMessageSource->StreamableMessageSource,ConcludesBatchParameterResolverFactory->Message,SubscribingEventProcessor->SubscribableMessageSource,MultiStreamableMessageSource->StreamableMessageSource,TrackingEventProcessor->Message,TrackingEventProcessor->StreamableMessageSource,TrackingEventProcessor->InterceptorChain,GenericDomainEventMessage->Message,GenericDomainEventMessage->GenericMessage,GenericDomainEventMessage->MetaData,ReplayToken->Message,EventMessageHandler->MessageHandler,EventMessageHandler->Message,SequenceNumberParameterResolverFactory$SequenceNumberParameterResolver->Message,GenericTrackedDomainEventMessage->Message,DomainEventMessage->Message,TrackingEventProcessor$Builder->StreamableMessageSource,SubscribingEventProcessor$Builder->SubscribableMessageSource,StreamingEventProcessor->StreamableMessageSource,AbstractEventProcessor->DefaultInterceptorChain,AbstractEventProcessor->ResultMessage,AbstractEventProcessor->MessageHandlerInterceptor,GenericEventMessage->GenericMessage,GenericEventMessage->MessageDecorator,GenericEventMessage->MetaData,GenericEventMessage->Message,MultiStreamableMessageSource$Builder->StreamableMessageSource,TrackingEventProcessorConfiguration->StreamableMessageSource,EventMessage->Message,TimestampParameterResolverFactory$TimestampParameterResolver->Message,EventProcessor->MessageHandlerInterceptorSupport,EventProcessor->MessageHandlerInterceptor,EventBus->SubscribableMessageSource,EventBus->MessageDispatchInterceptorSupport,AbstractEventBus->MessageDispatchInterceptor,AnnotationEventHandlerAdapter->Message,GenericTrackedEventMessage->Message","Headers->DomainEventMessage,Headers->EventMessage,StreamableMessageSource->TrackingToken","" +"org.axonframework.eventhandling","org.axonframework.messaging.annotation",0.84,23,2,"TrackingTokenParameterResolverFactory$TrackingTokenParameterResolver->ParameterResolver,ConcludesBatchParameterResolverFactory->AbstractAnnotatedParameterResolverFactory,ConcludesBatchParameterResolverFactory->ParameterResolver,EventHandler->MessageHandler,SequenceNumberParameterResolverFactory$SequenceNumberParameterResolver->ParameterResolver,ResetHandler->MessageHandler,TimestampParameterResolverFactory$TimestampParameterResolver->ParameterResolver,TimestampParameterResolverFactory->ParameterResolver,TimestampParameterResolverFactory->AbstractAnnotatedParameterResolverFactory,SimpleEventHandlerInvoker$Builder->ParameterResolverFactory,SimpleEventHandlerInvoker$Builder->HandlerDefinition,TrackingTokenParameterResolverFactory->ParameterResolverFactory,TrackingTokenParameterResolverFactory->ParameterResolver,AllowReplay->HasHandlerAttributes,SequenceNumberParameterResolverFactory->ParameterResolver,SequenceNumberParameterResolverFactory->AbstractAnnotatedParameterResolverFactory,AnnotationEventHandlerAdapter->ClasspathHandlerDefinition,AnnotationEventHandlerAdapter->MessageHandlingMember,AnnotationEventHandlerAdapter->ClasspathParameterResolverFactory,AnnotationEventHandlerAdapter->HandlerDefinition,AnnotationEventHandlerAdapter->MessageHandlerInterceptorMemberChain,AnnotationEventHandlerAdapter->AnnotatedHandlerInspector,AnnotationEventHandlerAdapter->ParameterResolverFactory","SourceIdParameterResolverFactory$SourceIdParameterResolver->DomainEventMessage,AggregateTypeParameterResolverFactory$AggregateTypeParameterResolver->DomainEventMessage","" 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b/results/AxonFramework-4.7.5/internal-dependencies-csv/CyclicDependenciesUnwinded.csv @@ -1,362 +1,362 @@ -"packageName","dependentPackageName","dependency","forwardToBackwardBalance","numberForward","numberBackward","Source Cypher File: Cyclic_Dependencies_as_unwinded_List.cypher" +"packageName","dependentPackageName","dependency","forwardToBackwardBalance","numberForward","numberBackward","Source Cypher File: Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher" "org.axonframework.queryhandling","org.axonframework.messaging.responsetypes","QueryResponseMessage<-ConvertingResponseMessage",0.8823529411764706,16,1,"" -"org.axonframework.queryhandling","org.axonframework.messaging.responsetypes","QueryMessage->ResponseType",0.8823529411764706,16,1,"" -"org.axonframework.queryhandling","org.axonframework.messaging.responsetypes","SimpleQueryUpdateEmitter->OptionalResponseType",0.8823529411764706,16,1,"" 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"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","ChildForwardingCommandMessageHandlingMember->AggregateEntityNotFoundException",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AggregateMemberAnnotatedChildEntityCollectionDefinition->ForwardingMode",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AbstractChildEntityDefinition->ForwardingMode",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AbstractChildEntityDefinition->AggregateMember",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","MethodCommandHandlerInterceptorDefinition->CommandHandlerInterceptor",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","CreationPolicyMember->AggregateCreationPolicy",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AggregateMemberAnnotatedChildEntityMapDefinition->ForwardingMode",0.25,20,12,"" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","MethodCreationPolicyDefinition$MethodCreationPolicyHandlingMember->AggregateCreationPolicy",0.25,20,12,"" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->AggregateEntityNotFoundException",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->Aggregate",0.25,20,12,"" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->RepositoryProvider",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->AggregateLifecycle",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->RepositoryProvider",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->Repository",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->AggregateInvocationException",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->ApplyMore",0.25,20,12,"" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AggregateMemberAnnotatedChildEntityDefinition->ForwardingMode",0.25,20,12,"" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","MethodCommandHandlerInterceptorDefinition->CommandHandlerInterceptor",0.25,20,12,"" -"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->EntityId",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregate->AggregateEntityNotFoundException",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","MethodCreationPolicyDefinition$MethodCreationPolicyHandlingMember->AggregateCreationPolicy",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->AggregateRoot",0.25,20,12,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->EntityId",0.25,20,12,"" "org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel->AggregateVersion",0.25,20,12,"" -"org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolution<-SimpleQueryBus$Builder",0.25,5,3,"" +"org.axonframework.modelling.command.inspection","org.axonframework.modelling.command","AggregateMemberAnnotatedChildEntityDefinition->ForwardingMode",0.25,20,12,"" "org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolver<-SimpleQueryBus$Builder",0.25,5,3,"" "org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolver<-SimpleQueryBus",0.25,5,3,"" -"org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolution->QuerySubscription",0.25,5,3,"" +"org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolution<-SimpleQueryBus$Builder",0.25,5,3,"" +"org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolver->QuerySubscription",0.25,5,3,"" "org.axonframework.queryhandling.registration","org.axonframework.queryhandling","LoggingDuplicateQueryHandlerResolver->QuerySubscription",0.25,5,3,"" "org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerSubscriptionException->QuerySubscription",0.25,5,3,"" -"org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolver->QuerySubscription",0.25,5,3,"" +"org.axonframework.queryhandling.registration","org.axonframework.queryhandling","DuplicateQueryHandlerResolution->QuerySubscription",0.25,5,3,"" "org.axonframework.queryhandling.registration","org.axonframework.queryhandling","FailingDuplicateQueryHandlerResolver->QuerySubscription",0.25,5,3,"" "org.axonframework.messaging","org.axonframework.serialization","GenericMessage<-SerializedMessage",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","AbstractMessage<-SerializedMessage",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","MetaData<-SerializedMessage",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","MetaData<-SerializedMetaData",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","MetaData<-AbstractXStreamSerializer",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","MetaData<-SerializedMessage",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","MetaData<-AbstractXStreamSerializer$MetaDataConverter",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","Message<-SerializedMessage",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","MetaData<-AbstractXStreamSerializer",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","Message<-SerializedObjectHolder",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","GenericResultMessage->Serializer",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","GenericResultMessage->SerializedObject",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","Message<-SerializedMessage",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","ResultMessage->SerializedObject",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","ResultMessage->Serializer",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","GenericResultMessage->SerializedObject",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","GenericResultMessage->Serializer",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","GenericMessage->SerializedObject",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","GenericMessage->Serializer",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","GenericMessage->SerializedObjectHolder",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","GenericMessage->Serializer",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","MessageDecorator->Serializer",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","MessageDecorator->SerializedObject",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","Message->SerializedObject",0.23809523809523808,13,8,"" +"org.axonframework.messaging","org.axonframework.serialization","Message->Serializer",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","Headers->SerializedType",0.23809523809523808,13,8,"" "org.axonframework.messaging","org.axonframework.serialization","Headers->SerializedObject",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","Message->Serializer",0.23809523809523808,13,8,"" -"org.axonframework.messaging","org.axonframework.serialization","Message->SerializedObject",0.23809523809523808,13,8,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","Segment<-TokenStore",0.23076923076923078,8,5,"" +"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingToken<-GenericTokenEntry",0.23076923076923078,8,5,"" +"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingToken<-AbstractTokenEntry",0.23076923076923078,8,5,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingToken<-TokenStore",0.23076923076923078,8,5,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingToken<-ConfigToken",0.23076923076923078,8,5,"" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingToken<-AbstractTokenEntry",0.23076923076923078,8,5,"" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingToken<-GenericTokenEntry",0.23076923076923078,8,5,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor->TokenStore",0.23076923076923078,8,5,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor->UnableToClaimTokenException",0.23076923076923078,8,5,"" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$MergeSegmentInstruction->TokenStore",0.23076923076923078,8,5,"" +"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$Builder->TokenStore",0.23076923076923078,8,5,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$SplitSegmentInstruction->TokenStore",0.23076923076923078,8,5,"" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$WorkerLauncher->TokenStore",0.23076923076923078,8,5,"" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$WorkerLauncher->UnableToClaimTokenException",0.23076923076923078,8,5,"" +"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$MergeSegmentInstruction->TokenStore",0.23076923076923078,8,5,"" "org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$Instruction->UnableToClaimTokenException",0.23076923076923078,8,5,"" -"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$Builder->TokenStore",0.23076923076923078,8,5,"" -"org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors","HasHandlerAttributes<-ResultHandler",0.2,3,2,"" +"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$WorkerLauncher->UnableToClaimTokenException",0.23076923076923078,8,5,"" +"org.axonframework.eventhandling","org.axonframework.eventhandling.tokenstore","TrackingEventProcessor$WorkerLauncher->TokenStore",0.23076923076923078,8,5,"" "org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors","MessageHandler<-MessageHandlerInterceptor",0.2,3,2,"" +"org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors","HasHandlerAttributes<-ResultHandler",0.2,3,2,"" "org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors","MessageHandlerInterceptorDefinition->MessageHandlerInterceptor",0.2,3,2,"" "org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors","MessageHandlerInterceptorDefinition->ResultHandler",0.2,3,2,"" "org.axonframework.messaging.annotation","org.axonframework.messaging.interceptors","ResultParameterResolverFactory->ResultHandler",0.2,3,2,"" -"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AssociationValue<-SagaModel",0.14285714285714285,4,3,"" -"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AssociationValue<-AnnotationSagaMetaModelFactory$InspectedSagaModel",0.14285714285714285,4,3,"" "org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","SagaMethodMessageHandlingMember<-AnnotationSagaMetaModelFactory$InspectedSagaModel",0.14285714285714285,4,3,"" +"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AssociationValue<-AnnotationSagaMetaModelFactory$InspectedSagaModel",0.14285714285714285,4,3,"" +"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AssociationValue<-SagaModel",0.14285714285714285,4,3,"" "org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AnnotatedSagaManager$Builder->AnnotationSagaMetaModelFactory",0.14285714285714285,4,3,"" "org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AnnotatedSagaManager$Builder->SagaModel",0.14285714285714285,4,3,"" -"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AnnotatedSagaManager->SagaModel",0.14285714285714285,4,3,"" "org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AnnotatedSaga->SagaModel",0.14285714285714285,4,3,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","OrCommandMessageFilter<-CommandMessageFilter",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyAll<-DistributedCommandBus",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","NegateCommandMessageFilter<-CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.modelling.saga","org.axonframework.modelling.saga.metamodel","AnnotatedSagaManager->SagaModel",0.14285714285714285,4,3,"" "org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","AndCommandMessageFilter<-CommandMessageFilter",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyCommandNameFilter<-DistributedCommandBus",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","NegateCommandMessageFilter<-CommandMessageFilter",0.07692307692307693,7,6,"" "org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","CommandNameFilter<-DistributedCommandBus",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","OrCommandMessageFilter->CommandMessageFilter",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyAll->CommandMessageFilter",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","NegateCommandMessageFilter->CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyAll<-DistributedCommandBus",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","OrCommandMessageFilter<-CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyCommandNameFilter<-DistributedCommandBus",0.07692307692307693,7,6,"" "org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","AndCommandMessageFilter->CommandMessageFilter",0.07692307692307693,7,6,"" -"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyCommandNameFilter->CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","NegateCommandMessageFilter->CommandMessageFilter",0.07692307692307693,7,6,"" "org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","CommandNameFilter->CommandMessageFilter",0.07692307692307693,7,6,"" "org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","AcceptAll->CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyAll->CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","OrCommandMessageFilter->CommandMessageFilter",0.07692307692307693,7,6,"" +"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.commandhandling.distributed","DenyCommandNameFilter->CommandMessageFilter",0.07692307692307693,7,6,"" diff --git a/results/AxonFramework-4.7.5/internal-dependencies-csv/InterfaceSegregationCandidates.csv b/results/AxonFramework-4.7.5/internal-dependencies-csv/InterfaceSegregationCandidates.csv index d296b1d46..2558b534d 100644 --- a/results/AxonFramework-4.7.5/internal-dependencies-csv/InterfaceSegregationCandidates.csv +++ b/results/AxonFramework-4.7.5/internal-dependencies-csv/InterfaceSegregationCandidates.csv @@ -1,39 +1,39 @@ -"dependentType.fqn","declaredMethods","calledMethodNames","calledMethods","callerTypes","Source Cypher File: Candidates_for_Interface_Segregation.cypher" +"fullDependentTypeName","declaredMethods","calledMethodNames","calledMethods","callerTypes","Source Cypher File: Candidates_for_Interface_Segregation.cypher" "org.axonframework.commandhandling.CommandMessage",9,"getCommandName",1,18,"" "org.axonframework.eventhandling.DomainEventMessage",10,"getSequenceNumber",1,9,"" -"org.axonframework.eventhandling.EventMessage",9,"getIdentifier,getTimestamp",2,8,"" +"org.axonframework.eventhandling.EventMessage",9,"getTimestamp,getIdentifier",2,8,"" "org.axonframework.eventhandling.EventMessage",9,"getIdentifier",1,8,"" "org.axonframework.eventhandling.TrackedEventMessage",10,"trackingToken",1,7,"" -"org.axonframework.eventhandling.DomainEventMessage",10,"getType,getAggregateIdentifier,getSequenceNumber",3,5,"" +"org.axonframework.eventhandling.DomainEventMessage",10,"getAggregateIdentifier,getType,getSequenceNumber",3,5,"" "org.axonframework.messaging.ResultMessage",9,"exceptionResult,isExceptional",2,5,"" "org.axonframework.commandhandling.GenericCommandResultMessage",15,"asCommandResultMessage",1,4,"" "org.axonframework.commandhandling.GenericCommandResultMessage",14,"asCommandResultMessage",1,4,"" "org.axonframework.eventhandling.TrackedEventMessage",12,"trackingToken",1,4,"" "org.axonframework.deadline.GenericDeadlineMessage",11,"asDeadlineMessage",1,4,"" "org.axonframework.deadline.DeadlineMessage",10,"getDeadlineName",1,4,"" -"org.axonframework.eventhandling.DomainEventMessage",10,"getType",1,4,"" "org.axonframework.eventhandling.DomainEventMessage",10,"getAggregateIdentifier",1,4,"" +"org.axonframework.eventhandling.DomainEventMessage",10,"getType",1,4,"" "org.axonframework.eventhandling.GenericEventMessage",10,"asEventMessage",1,4,"" "org.axonframework.common.transaction.NoTransactionManager",4,"instance",1,4,"" "org.axonframework.modelling.command.inspection.AggregateModel",13,"type",1,3,"" -"org.axonframework.eventhandling.DomainEventMessage",11,"getType,getAggregateIdentifier,getSequenceNumber",3,3,"" +"org.axonframework.eventhandling.DomainEventMessage",11,"getAggregateIdentifier,getType,getSequenceNumber",3,3,"" "org.axonframework.eventhandling.DomainEventMessage",10,"getAggregateIdentifier,getSequenceNumber",2,3,"" -"org.axonframework.eventhandling.GapAwareTrackingToken",10,"getGaps,withGapsTruncatedAt,advanceTo,getIndex,newInstance",5,3,"" +"org.axonframework.eventhandling.GapAwareTrackingToken",10,"getGaps,withGapsTruncatedAt,getIndex,newInstance,advanceTo",5,3,"" "org.axonframework.eventhandling.EventMessage",9,"getTimestamp",1,3,"" "org.axonframework.messaging.MessageDecorator",9,"describeTo",1,3,"" "org.axonframework.eventhandling.TrackedEventData",5,"trackingToken",1,3,"" "org.axonframework.eventhandling.tokenstore.ConfigToken",5,"get",1,3,"" "org.axonframework.eventhandling.TrackerStatus",17,"getTrackingToken,getSegment,split",3,2,"" -"org.axonframework.modelling.command.inspection.AnnotatedAggregate",17,"getAggregateRoot,initSequence,initialize",4,2,"" +"org.axonframework.modelling.command.inspection.AnnotatedAggregate",17,"initSequence,initialize,getAggregateRoot",4,2,"" "org.axonframework.queryhandling.SimpleQueryUpdateEmitter",17,"builder",1,2,"" -"org.axonframework.commandhandling.CommandMessageHandlingMember",14,"commandName,isFactoryHandler",2,2,"" +"org.axonframework.commandhandling.CommandMessageHandlingMember",14,"isFactoryHandler,commandName",2,2,"" "org.axonframework.commandhandling.GenericCommandResultMessage",14,"asCommandResultMessage",2,2,"" "org.axonframework.deadline.DeadlineMessage",14,"getDeadlineName",1,2,"" "org.axonframework.messaging.GenericResultMessage",14,"asResultMessage",1,2,"" "org.axonframework.messaging.annotation.WrappedMessageHandlingMember",14,"handle",1,2,"" "org.axonframework.eventhandling.DomainEventMessage",13,"getAggregateIdentifier,getSequenceNumber",2,2,"" -"org.axonframework.eventhandling.ReplayToken",13,"createReplayToken",1,2,"" "org.axonframework.eventhandling.ReplayToken",13,"isReplay",1,2,"" +"org.axonframework.eventhandling.ReplayToken",13,"createReplayToken",1,2,"" "org.axonframework.queryhandling.SubscriptionQueryMessage",12,"getUpdateResponseType",1,2,"" "org.axonframework.commandhandling.GenericCommandMessage",11,"asCommandMessage",1,2,"" "org.axonframework.eventhandling.DomainEventMessage",11,"getSequenceNumber",1,2,"" @@ -44,338 +44,168 @@ "org.axonframework.commandhandling.gateway.DefaultCommandGateway",9,"builder",1,2,"" "org.axonframework.config.Configuration",9,"getComponent",1,2,"" "org.axonframework.eventhandling.EventMessage",9,"andMetaData",1,2,"" +"org.axonframework.queryhandling.QueryMessage",9,"getResponseType,getQueryName",2,2,"" "org.axonframework.queryhandling.QueryMessage",9,"getQueryName",1,2,"" -"org.axonframework.queryhandling.QueryMessage",9,"getQueryName,getResponseType",2,2,"" "org.axonframework.commandhandling.AnnotationCommandHandlerAdapter",6,"subscribe",1,2,"" "org.axonframework.messaging.annotation.InterceptorChainParameterResolverFactory",5,"currentInterceptorChain",1,2,"" "org.axonframework.serialization.ChainingConverter",5,"registerConverter",1,2,"" "org.axonframework.serialization.SimpleSerializedObject",4,"getType",1,2,"" 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-"org.axonframework.test.eventscheduler.StubEventScheduler",8,"advanceTimeTo,advanceToNextTrigger",2,1,"" -"org.axonframework.commandhandling.distributed.commandfilter.CommandNameFilter",7,"lambda$and$97c94f44$1,matches",2,1,"" "org.axonframework.config.AggregateConfiguration",7,"repository",1,1,"" -"org.axonframework.eventhandling.DomainEventData",7,"getSequenceNumber,getType,getAggregateIdentifier",3,1,"" -"org.axonframework.eventhandling.EventMessageHandler",7,"supportsReset,handle,prepareReset",3,1,"" -"org.axonframework.eventhandling.MultiSourceTrackingToken",7,"getTokenForStream,advancedTo",2,1,"" +"org.axonframework.eventhandling.DomainEventData",7,"getType,getAggregateIdentifier,getSequenceNumber",3,1,"" +"org.axonframework.eventhandling.EventMessageHandler",7,"prepareReset,supportsReset,handle",3,1,"" +"org.axonframework.eventhandling.MultiSourceTrackingToken",7,"advancedTo,getTokenForStream",2,1,"" "org.axonframework.eventhandling.MultiStreamableMessageSource",7,"access$200",1,1,"" "org.axonframework.eventhandling.SimpleEventHandlerInvoker",7,"builder",1,1,"" "org.axonframework.eventhandling.SimpleEventHandlerInvoker",7,"access$300",1,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",7,"builder,subscribe",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler$AggregateConstructorCommandHandler",7,"canHandle,lambda$handle$0,handle",3,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler$AggregateCreateOrUpdateCommandHandler",7,"lambda$handle$0,canHandle,handle",3,1,"" -"org.axonframework.modelling.command.AggregateScopeDescriptor",7,"getIdentifier,lambda$new$0",2,1,"" -"org.axonframework.modelling.saga.PayloadAssociationResolver",7,"getProperty,createProperty,lambda$getProperty$0,getHandlerName",4,1,"" -"org.axonframework.test.utils.RecordingCommandBus",7,"lambda$registerHandlerInterceptor$1,lambda$subscribe$0",2,1,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",7,"subscribe,builder",2,1,"" "org.axonframework.commandhandling.SimpleCommandBus",6,"builder",1,1,"" -"org.axonframework.commandhandling.distributed.ConsistentHash$ConsistentHashMember",6,"lambda$hashes$0,name",2,1,"" -"org.axonframework.common.lock.PessimisticLockFactory$DisposableLock",6,"queuedThreads,isHeldBy,lock",3,1,"" -"org.axonframework.disruptor.commandhandling.DisruptorCommandBus",6,"access$1900",1,1,"" +"org.axonframework.common.lock.PessimisticLockFactory$DisposableLock",6,"lock,queuedThreads,isHeldBy",3,1,"" "org.axonframework.disruptor.commandhandling.DisruptorCommandBus",6,"createRepository",1,1,"" -"org.axonframework.eventhandling.EventMessageHandler",6,"handle,prepareReset",2,1,"" -"org.axonframework.eventhandling.MultiStreamableMessageSource$IdentifiedStreamableMessageSource",6,"openStream,sourceId",2,1,"" -"org.axonframework.eventhandling.deadletter.jpa.EventMessageDeadLetterJpaConverter",6,"lambda$convert$1,lambda$convert$0",2,1,"" -"org.axonframework.eventhandling.deadletter.legacyjpa.EventMessageDeadLetterJpaConverter",6,"lambda$convert$1,lambda$convert$0",2,1,"" -"org.axonframework.eventsourcing.conflictresolution.DefaultConflictResolver",6,"lambda$unexpectedEvents$0,unexpectedEvents",2,1,"" -"org.axonframework.messaging.SimpleHandlerAttributes",6,"getAll,isEmpty",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$500,access$600,access$400",3,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$500,access$600",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$700,access$400",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"builder,subscribe",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$400,resolveReturnValue",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler$AggregateCommandHandler",6,"canHandle,handle",2,1,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler$AlwaysCreateAggregateCommandHandler",6,"handle,canHandle",2,1,"" -"org.axonframework.modelling.command.Repository",6,"load,newInstance,loadOrCreate",3,1,"" -"org.axonframework.modelling.saga.metamodel.AnnotationSagaMetaModelFactory$InspectedSagaModel",6,"lambda$findHandlerMethods$1,lambda$resolveAssociation$0",2,1,"" -"org.axonframework.modelling.saga.repository.inmemory.InMemorySagaStore",6,"lambda$findSagas$1,lambda$findSagas$0",2,1,"" +"org.axonframework.disruptor.commandhandling.DisruptorCommandBus",6,"access$1900",1,1,"" +"org.axonframework.eventhandling.MultiStreamableMessageSource$IdentifiedStreamableMessageSource",6,"sourceId,openStream",2,1,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"subscribe,builder",2,1,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"resolveReturnValue,access$400",2,1,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$400,access$600,access$500",3,1,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$400,access$700",2,1,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler",6,"access$600,access$500",2,1,"" +"org.axonframework.modelling.command.Repository",6,"newInstance,loadOrCreate,load",3,1,"" "org.axonframework.modelling.saga.repository.jpa.JpaSagaStore",6,"builder",1,1,"" "org.axonframework.queryhandling.annotation.AnnotationQueryHandlerAdapter",6,"subscribe",1,1,"" -"org.axonframework.serialization.SimpleSerializedObject",6,"getType,getData,getContentType",3,1,"" +"org.axonframework.serialization.SimpleSerializedObject",6,"getData,getType,getContentType",3,1,"" "org.axonframework.serialization.SimpleSerializedType",6,"emptyType",1,1,"" -"org.axonframework.test.saga.SagaTestFixture$AggregateEventPublisherImpl",6,"publish",1,1,"" -"org.axonframework.common.lock.PessimisticLockFactory$DisposableLock",5,"checkForDeadlock,disposeIfUnused",2,1,"" -"org.axonframework.disruptor.commandhandling.CommandHandlingEntry$RepeatingCommandHandler",5,"handle",1,1,"" "org.axonframework.eventhandling.AbstractEventBus",5,"prepareCommit",1,1,"" -"org.axonframework.eventhandling.DomainEventData",5,"getSequenceNumber",1,1,"" "org.axonframework.eventhandling.DomainEventData",5,"getType",1,1,"" +"org.axonframework.eventhandling.DomainEventData",5,"getSequenceNumber",1,1,"" "org.axonframework.eventhandling.EventMessageHandler",5,"handle",1,1,"" "org.axonframework.eventhandling.GapAwareTrackingToken",5,"getGaps,getIndex",2,1,"" -"org.axonframework.eventhandling.WrappedToken",5,"unwrapLowerBound",1,1,"" "org.axonframework.eventhandling.WrappedToken",5,"advance",1,1,"" -"org.axonframework.eventhandling.deadletter.DeadLetteringEventHandlerInvoker",5,"lambda$handle$0,lambda$process$1",2,1,"" +"org.axonframework.eventhandling.WrappedToken",5,"unwrapLowerBound",1,1,"" +"org.axonframework.eventsourcing.conflictresolution.ConflictResolution",5,"initialize",1,1,"" +"org.axonframework.eventsourcing.conflictresolution.DefaultConflictResolver",5,"ensureConflictsResolved",1,1,"" "org.axonframework.messaging.annotation.InterceptorChainParameterResolverFactory",5,"callWithInterceptorChain",1,1,"" -"org.axonframework.messaging.interceptors.BeanValidationInterceptor",5,"lambda$handle$0,validateMessage",2,1,"" -"org.axonframework.messaging.interceptors.legacyvalidation.BeanValidationInterceptor",5,"lambda$handle$0,validateMessage",2,1,"" -"org.axonframework.modelling.command.inspection.AnnotatedAggregateMetaModelFactory",5,"createModel",1,1,"" -"org.axonframework.monitoring.MultiMessageMonitor",5,"lambda$onMessageIngested$1,lambda$new$0",2,1,"" -"org.axonframework.serialization.SimpleSerializedType",5,"lambda$new$0",1,1,"" -"org.axonframework.serialization.converters.InputStreamToByteArrayConverter",5,"convert,bytesFrom",2,1,"" -"org.axonframework.eventhandling.SequenceNumberParameterResolverFactory$SequenceNumberParameterResolver",4,"resolveParameterValue",1,1,"" -"org.axonframework.eventhandling.TimestampParameterResolverFactory$TimestampParameterResolver",4,"resolveParameterValue",1,1,"" "org.axonframework.eventhandling.deadletter.DeadLetteringEventHandlerInvoker",4,"builder",1,1,"" "org.axonframework.eventhandling.gateway.DefaultEventGateway",4,"builder",1,1,"" -"org.axonframework.messaging.annotation.AggregateTypeParameterResolverFactory$AggregateTypeParameterResolver",4,"resolveParameterValue",1,1,"" "org.axonframework.messaging.annotation.DefaultParameterResolverFactory$MetaDataParameterResolver",4,"access$000",1,1,"" -"org.axonframework.messaging.annotation.MessageIdentifierParameterResolverFactory$MessageIdentifierParameterResolver",4,"resolveParameterValue",1,1,"" -"org.axonframework.messaging.annotation.ScopeDescriptorParameterResolverFactory$ScopeDescriptorParameterResolver",4,"resolveParameterValue",1,1,"" -"org.axonframework.messaging.annotation.SourceIdParameterResolverFactory$SourceIdParameterResolver",4,"resolveParameterValue",1,1,"" -"org.axonframework.messaging.deadletter.ShouldEnqueue",4,"lambda$new$0",1,1,"" -"org.axonframework.messaging.interceptors.LoggingInterceptor",4,"lambda$handle$0",1,1,"" -"org.axonframework.monitoring.MultiMessageMonitor$1",4,"lambda$reportFailure$0",1,1,"" "org.axonframework.monitoring.NoOpMessageMonitor",4,"instance",1,1,"" "org.axonframework.queryhandling.FluxSinkWrapper",4,"complete",1,1,"" -"org.axonframework.queryhandling.QueryBus",4,"subscriptionQuery",1,1,"" -"org.axonframework.serialization.converters.BlobToInputStreamConverter",4,"convert",1,1,"" -"org.axonframework.serialization.converters.ByteArrayToInputStreamConverter",4,"convert",1,1,"" -"org.axonframework.serialization.converters.ByteArrayToStringConverter",4,"convert",1,1,"" -"org.axonframework.serialization.converters.StringToByteArrayConverter",4,"convert",1,1,"" -"org.axonframework.serialization.json.ByteArrayToJsonNodeConverter",4,"convert",1,1,"" -"org.axonframework.serialization.json.JsonNodeToByteArrayConverter",4,"convert",1,1,"" -"org.axonframework.serialization.json.JsonNodeToObjectNodeConverter",4,"convert",1,1,"" -"org.axonframework.serialization.json.ObjectNodeToJsonNodeConverter",4,"convert",1,1,"" -"org.axonframework.serialization.xml.Dom4JToByteArrayConverter",4,"convert",1,1,"" -"org.axonframework.serialization.xml.InputStreamToDom4jConverter",4,"convert",1,1,"" -"org.axonframework.serialization.xml.InputStreamToXomConverter",4,"convert",1,1,"" -"org.axonframework.serialization.xml.XomToStringConverter",4,"convert",1,1,"" diff --git a/results/AxonFramework-4.7.5/internal-dependencies-csv/WidelyUsedTypes.csv b/results/AxonFramework-4.7.5/internal-dependencies-csv/WidelyUsedTypes.csv index 8fb7a813c..a89322e4b 100644 --- a/results/AxonFramework-4.7.5/internal-dependencies-csv/WidelyUsedTypes.csv +++ b/results/AxonFramework-4.7.5/internal-dependencies-csv/WidelyUsedTypes.csv @@ -1,4 +1,4 @@ -"dependentType.fqn","dependentType.name","dependentTypeLabels","numberOfUsingPackages","Source Cypher File: List_types_that_are_used_by_many_different_packages.cypher" +"dependentType.fqn","dependentType.name","dependentTypeLabels","numberOfUsingPackages","Source Cypher File: Package_Usage/List_types_that_are_used_by_many_different_packages.cypher" "org.axonframework.common.BuilderUtils","BuilderUtils","Type,File,Java,ByteCode,Class",41,"" "org.axonframework.messaging.Message","Message","Type,File,Java,ByteCode,GenericDeclaration,Interface",36,"" "org.axonframework.common.AxonConfigurationException","AxonConfigurationException","Type,File,Java,ByteCode,Class",35,"" @@ -18,8 +18,8 @@ "org.axonframework.common.Registration","Registration","Type,File,Java,ByteCode,Interface",16,"" "org.axonframework.eventhandling.GenericEventMessage","GenericEventMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",16,"" "org.axonframework.common.ObjectUtils","ObjectUtils","Type,File,Java,ByteCode,Class",15,"" -"org.axonframework.messaging.MessageHandlerInterceptor","MessageHandlerInterceptor","Type,File,Java,ByteCode,GenericDeclaration,Interface",15,"" "org.axonframework.messaging.MessageDispatchInterceptor","MessageDispatchInterceptor","Type,File,Java,ByteCode,GenericDeclaration,Interface",15,"" +"org.axonframework.messaging.MessageHandlerInterceptor","MessageHandlerInterceptor","Type,File,Java,ByteCode,GenericDeclaration,Interface",15,"" "org.axonframework.commandhandling.CommandMessage","CommandMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",14,"" "org.axonframework.common.ReflectionUtils","ReflectionUtils","Type,File,Java,ByteCode,Class",14,"" "org.axonframework.messaging.annotation.HandlerDefinition","HandlerDefinition","Type,File,Java,ByteCode,Interface",14,"" @@ -29,8 +29,8 @@ "org.axonframework.messaging.ResultMessage","ResultMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",12,"" "org.axonframework.messaging.InterceptorChain","InterceptorChain","Type,File,Java,ByteCode,Interface",12,"" "org.axonframework.messaging.unitofwork.DefaultUnitOfWork","DefaultUnitOfWork","Type,File,Java,ByteCode,Class,GenericDeclaration",12,"" -"org.axonframework.common.AxonTransientException","AxonTransientException","Type,File,Java,ByteCode,Class",11,"" "org.axonframework.common.DateTimeUtils","DateTimeUtils","Type,File,Java,ByteCode,Class",11,"" +"org.axonframework.common.AxonTransientException","AxonTransientException","Type,File,Java,ByteCode,Class",11,"" "org.axonframework.common.transaction.NoTransactionManager","NoTransactionManager","Type,File,Java,ByteCode,Enum",11,"" "org.axonframework.messaging.ScopeDescriptor","ScopeDescriptor","Type,File,Java,ByteCode,Interface",11,"" "org.axonframework.messaging.annotation.ClasspathHandlerDefinition","ClasspathHandlerDefinition","Type,File,Java,ByteCode,Class",11,"" @@ -54,36 +54,28 @@ "org.axonframework.eventhandling.Segment","Segment","Type,File,Java,ByteCode,Class",8,"" "org.axonframework.messaging.GenericMessage","GenericMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",8,"" "org.axonframework.messaging.unitofwork.ExecutionResult","ExecutionResult","Type,File,Java,ByteCode,Class",8,"" -"org.axonframework.modelling.saga.AssociationValue","AssociationValue","Type,File,Java,ByteCode,Class",7,"" -"org.axonframework.common.AxonThreadFactory","AxonThreadFactory","Type,File,Java,ByteCode,Class",7,"" "org.axonframework.common.IdentifierFactory","IdentifierFactory","Type,File,Java,ByteCode,Class",7,"" +"org.axonframework.common.AxonThreadFactory","AxonThreadFactory","Type,File,Java,ByteCode,Class",7,"" "org.axonframework.eventhandling.DomainEventData","DomainEventData","Type,File,Java,ByteCode,GenericDeclaration,Interface",7,"" "org.axonframework.eventhandling.tokenstore.TokenStore","TokenStore","Type,File,Java,ByteCode,Interface",7,"" "org.axonframework.messaging.annotation.WrappedMessageHandlingMember","WrappedMessageHandlingMember","Type,File,Java,ByteCode,Class,GenericDeclaration",7,"" "org.axonframework.messaging.annotation.ParameterResolver","ParameterResolver","Type,File,Java,ByteCode,GenericDeclaration,Interface",7,"" "org.axonframework.serialization.upcasting.event.EventUpcaster","EventUpcaster","Type,File,Java,ByteCode,Interface",7,"" "org.axonframework.serialization.xml.XStreamSerializer","XStreamSerializer","Type,File,Java,ByteCode,Class",7,"" -"org.axonframework.modelling.command.inspection.AggregateModel","AggregateModel","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" -"org.axonframework.commandhandling.CommandCallback","CommandCallback","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" +"org.axonframework.modelling.saga.AssociationValue","AssociationValue","Type,File,Java,ByteCode,Class",7,"" "org.axonframework.commandhandling.GenericCommandResultMessage","GenericCommandResultMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",6,"" +"org.axonframework.commandhandling.CommandCallback","CommandCallback","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" "org.axonframework.common.Priority","Priority","Type,File,Java,ByteCode,Annotation",6,"" "org.axonframework.common.jpa.EntityManagerProvider","EntityManagerProvider","Type,File,Java,ByteCode,Interface",6,"" "org.axonframework.common.stream.BlockingStream","BlockingStream","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" "org.axonframework.eventhandling.tokenstore.UnableToClaimTokenException","UnableToClaimTokenException","Type,File,Java,ByteCode,Class",6,"" -"org.axonframework.messaging.MessageHandlerInterceptorSupport","MessageHandlerInterceptorSupport","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" -"org.axonframework.messaging.MessageDispatchInterceptorSupport","MessageDispatchInterceptorSupport","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" "org.axonframework.messaging.ScopeAware","ScopeAware","Type,File,Java,ByteCode,Interface",6,"" +"org.axonframework.messaging.MessageDispatchInterceptorSupport","MessageDispatchInterceptorSupport","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" +"org.axonframework.messaging.MessageHandlerInterceptorSupport","MessageHandlerInterceptorSupport","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" "org.axonframework.messaging.unitofwork.UnitOfWork$Phase","UnitOfWork$Phase","Type,File,Java,ByteCode,Enum",6,"" "org.axonframework.monitoring.NoOpMessageMonitor","NoOpMessageMonitor","Type,File,Java,ByteCode,Enum",6,"" "org.axonframework.tracing.SpanScope","SpanScope","Type,File,Java,ByteCode,Interface",6,"" -"org.axonframework.eventsourcing.eventstore.EventStore","EventStore","Type,File,Java,ByteCode,Interface",5,"" -"org.axonframework.eventsourcing.eventstore.DomainEventStream","DomainEventStream","Type,File,Java,ByteCode,Interface",5,"" -"org.axonframework.eventsourcing.snapshotting.SnapshotFilter","SnapshotFilter","Type,File,Java,ByteCode,Interface",5,"" -"org.axonframework.modelling.command.RepositoryProvider","RepositoryProvider","Type,File,Java,ByteCode,Interface",5,"" -"org.axonframework.modelling.command.Aggregate","Aggregate","Type,File,Java,ByteCode,GenericDeclaration,Interface",5,"" -"org.axonframework.modelling.command.inspection.AnnotatedAggregateMetaModelFactory","AnnotatedAggregateMetaModelFactory","Type,File,Java,ByteCode,Class",5,"" -"org.axonframework.modelling.saga.AssociationValues","AssociationValues","Type,File,Java,ByteCode,Interface",5,"" -"org.axonframework.modelling.saga.repository.SagaStore","SagaStore","Type,File,Java,ByteCode,GenericDeclaration,Interface",5,"" +"org.axonframework.modelling.command.inspection.AggregateModel","AggregateModel","Type,File,Java,ByteCode,GenericDeclaration,Interface",6,"" "org.axonframework.commandhandling.CommandResultMessage","CommandResultMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",5,"" "org.axonframework.common.ExceptionUtils","ExceptionUtils","Type,File,Java,ByteCode,Class",5,"" "org.axonframework.common.jdbc.PersistenceExceptionResolver","PersistenceExceptionResolver","Type,File,Java,ByteCode,Interface",5,"" @@ -92,385 +84,393 @@ "org.axonframework.eventhandling.TrackedEventData","TrackedEventData","Type,File,Java,ByteCode,GenericDeclaration,Interface",5,"" "org.axonframework.eventhandling.scheduling.EventScheduler","EventScheduler","Type,File,Java,ByteCode,Interface",5,"" "org.axonframework.messaging.ExecutionException","ExecutionException","Type,File,Java,ByteCode,Class",5,"" -"org.axonframework.messaging.annotation.HasHandlerAttributes","HasHandlerAttributes","Type,File,Java,ByteCode,Annotation",5,"" "org.axonframework.messaging.annotation.AnnotatedHandlerInspector","AnnotatedHandlerInspector","Type,File,Java,ByteCode,Class,GenericDeclaration",5,"" "org.axonframework.messaging.annotation.MessageHandler","MessageHandler","Type,File,Java,ByteCode,Annotation",5,"" +"org.axonframework.messaging.annotation.HasHandlerAttributes","HasHandlerAttributes","Type,File,Java,ByteCode,Annotation",5,"" "org.axonframework.messaging.unitofwork.RollbackConfigurationType","RollbackConfigurationType","Type,File,Java,ByteCode,Enum",5,"" "org.axonframework.messaging.unitofwork.RollbackConfiguration","RollbackConfiguration","Type,File,Java,ByteCode,Interface",5,"" "org.axonframework.monitoring.MessageMonitor$MonitorCallback","MessageMonitor$MonitorCallback","Type,File,Java,ByteCode,Interface",5,"" "org.axonframework.serialization.SimpleSerializedType","SimpleSerializedType","Type,File,Java,ByteCode,Class",5,"" -"org.axonframework.eventsourcing.eventstore.EventStorageEngine","EventStorageEngine","Type,File,Java,ByteCode,Interface",4,"" -"org.axonframework.modelling.command.AggregateNotFoundException","AggregateNotFoundException","Type,File,Java,ByteCode,Class",4,"" -"org.axonframework.modelling.command.Repository","Repository","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" -"org.axonframework.modelling.command.inspection.AnnotatedAggregate","AnnotatedAggregate","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" -"org.axonframework.modelling.saga.repository.SagaStore$Entry","SagaStore$Entry","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" +"org.axonframework.modelling.command.Aggregate","Aggregate","Type,File,Java,ByteCode,GenericDeclaration,Interface",5,"" +"org.axonframework.modelling.command.RepositoryProvider","RepositoryProvider","Type,File,Java,ByteCode,Interface",5,"" +"org.axonframework.modelling.command.inspection.AnnotatedAggregateMetaModelFactory","AnnotatedAggregateMetaModelFactory","Type,File,Java,ByteCode,Class",5,"" +"org.axonframework.modelling.saga.AssociationValues","AssociationValues","Type,File,Java,ByteCode,Interface",5,"" +"org.axonframework.modelling.saga.repository.SagaStore","SagaStore","Type,File,Java,ByteCode,GenericDeclaration,Interface",5,"" +"org.axonframework.eventsourcing.eventstore.EventStore","EventStore","Type,File,Java,ByteCode,Interface",5,"" +"org.axonframework.eventsourcing.eventstore.DomainEventStream","DomainEventStream","Type,File,Java,ByteCode,Interface",5,"" +"org.axonframework.eventsourcing.snapshotting.SnapshotFilter","SnapshotFilter","Type,File,Java,ByteCode,Interface",5,"" "org.axonframework.commandhandling.GenericCommandMessage","GenericCommandMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" "org.axonframework.commandhandling.NoHandlerForCommandException","NoHandlerForCommandException","Type,File,Java,ByteCode,Class",4,"" "org.axonframework.common.caching.Cache","Cache","Type,File,Java,ByteCode,Interface",4,"" -"org.axonframework.common.property.Property","Property","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" "org.axonframework.common.property.PropertyAccessStrategy","PropertyAccessStrategy","Type,File,Java,ByteCode,Class",4,"" +"org.axonframework.common.property.Property","Property","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" "org.axonframework.deadline.GenericDeadlineMessage","GenericDeadlineMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" "org.axonframework.eventhandling.GapAwareTrackingToken","GapAwareTrackingToken","Type,File,Java,ByteCode,Class",4,"" "org.axonframework.eventhandling.scheduling.ScheduleToken","ScheduleToken","Type,File,Java,ByteCode,Interface",4,"" "org.axonframework.eventhandling.tokenstore.UnableToInitializeTokenException","UnableToInitializeTokenException","Type,File,Java,ByteCode,Class",4,"" "org.axonframework.lifecycle.Lifecycle$LifecycleHandler","Lifecycle$LifecycleHandler","Type,File,Java,ByteCode,Interface",4,"" -"org.axonframework.messaging.StreamableMessageSource","StreamableMessageSource","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" "org.axonframework.messaging.GenericResultMessage","GenericResultMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" +"org.axonframework.messaging.Scope","Scope","Type,File,Java,ByteCode,Class",4,"" "org.axonframework.messaging.ScopeAwareProvider","ScopeAwareProvider","Type,File,Java,ByteCode,Interface",4,"" +"org.axonframework.messaging.StreamableMessageSource","StreamableMessageSource","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" "org.axonframework.messaging.MessageDecorator","MessageDecorator","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" -"org.axonframework.messaging.Scope","Scope","Type,File,Java,ByteCode,Class",4,"" +"org.axonframework.messaging.deadletter.EnqueueDecision","EnqueueDecision","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" "org.axonframework.messaging.deadletter.SequencedDeadLetterQueue","SequencedDeadLetterQueue","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" "org.axonframework.messaging.deadletter.DeadLetter","DeadLetter","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" -"org.axonframework.messaging.deadletter.EnqueueDecision","EnqueueDecision","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" -"org.axonframework.serialization.RevisionResolver","RevisionResolver","Type,File,Java,ByteCode,Interface",4,"" "org.axonframework.serialization.SerializedMessage","SerializedMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" +"org.axonframework.serialization.RevisionResolver","RevisionResolver","Type,File,Java,ByteCode,Interface",4,"" +"org.axonframework.modelling.command.AggregateNotFoundException","AggregateNotFoundException","Type,File,Java,ByteCode,Class",4,"" +"org.axonframework.modelling.command.Repository","Repository","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" +"org.axonframework.modelling.command.inspection.AnnotatedAggregate","AnnotatedAggregate","Type,File,Java,ByteCode,Class,GenericDeclaration",4,"" +"org.axonframework.modelling.saga.repository.SagaStore$Entry","SagaStore$Entry","Type,File,Java,ByteCode,GenericDeclaration,Interface",4,"" +"org.axonframework.eventsourcing.eventstore.EventStorageEngine","EventStorageEngine","Type,File,Java,ByteCode,Interface",4,"" "org.axonframework.test.FixtureExecutionException","FixtureExecutionException","Type,File,Java,ByteCode,Class",4,"" "org.axonframework.test.AxonAssertionError","AxonAssertionError","Type,File,Java,ByteCode,Class",4,"" -"org.axonframework.eventsourcing.AggregateFactory","AggregateFactory","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" -"org.axonframework.eventsourcing.eventstore.AbstractEventStorageEngine$Builder","AbstractEventStorageEngine$Builder","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.eventsourcing.eventstore.BatchingEventStorageEngine$Builder","BatchingEventStorageEngine$Builder","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.eventsourcing.eventstore.BatchingEventStorageEngine","BatchingEventStorageEngine","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.modelling.command.ConflictingAggregateVersionException","ConflictingAggregateVersionException","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.modelling.command.CommandTargetResolver","CommandTargetResolver","Type,File,Java,ByteCode,Interface",3,"" -"org.axonframework.modelling.command.ConcurrencyException","ConcurrencyException","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.modelling.command.ApplyMore","ApplyMore","Type,File,Java,ByteCode,Interface",3,"" -"org.axonframework.modelling.saga.ResourceInjector","ResourceInjector","Type,File,Java,ByteCode,Interface",3,"" -"org.axonframework.modelling.saga.SagaRepository","SagaRepository","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" "org.axonframework.commandhandling.callbacks.LoggingCallback","LoggingCallback","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.common.jdbc.JdbcUtils","JdbcUtils","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.common.jdbc.ConnectionProvider","ConnectionProvider","Type,File,Java,ByteCode,Interface",3,"" "org.axonframework.common.lock.NullLockFactory","NullLockFactory","Type,File,Java,ByteCode,Enum",3,"" "org.axonframework.common.lock.PessimisticLockFactory","PessimisticLockFactory","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.eventhandling.GenericDomainEventEntry","GenericDomainEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" -"org.axonframework.eventhandling.DomainEventSequenceAware","DomainEventSequenceAware","Type,File,Java,ByteCode,Interface",3,"" -"org.axonframework.eventhandling.ListenerInvocationErrorHandler","ListenerInvocationErrorHandler","Type,File,Java,ByteCode,Interface",3,"" -"org.axonframework.eventhandling.LoggingErrorHandler","LoggingErrorHandler","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.eventhandling.GenericTrackedDomainEventMessage","GenericTrackedDomainEventMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" -"org.axonframework.eventhandling.TrackedDomainEventData","TrackedDomainEventData","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" -"org.axonframework.eventhandling.EventHandler","EventHandler","Type,File,Java,ByteCode,Annotation",3,"" "org.axonframework.eventhandling.EventHandlerInvoker","EventHandlerInvoker","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.eventhandling.ListenerInvocationErrorHandler","ListenerInvocationErrorHandler","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.eventhandling.DomainEventSequenceAware","DomainEventSequenceAware","Type,File,Java,ByteCode,Interface",3,"" "org.axonframework.eventhandling.TrackingEventStream","TrackingEventStream","Type,File,Java,ByteCode,Interface",3,"" "org.axonframework.eventhandling.EventMessageHandler","EventMessageHandler","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.eventhandling.EventHandler","EventHandler","Type,File,Java,ByteCode,Annotation",3,"" +"org.axonframework.eventhandling.GenericTrackedDomainEventMessage","GenericTrackedDomainEventMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" +"org.axonframework.eventhandling.TrackedDomainEventData","TrackedDomainEventData","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" +"org.axonframework.eventhandling.LoggingErrorHandler","LoggingErrorHandler","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.eventhandling.GenericDomainEventEntry","GenericDomainEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" "org.axonframework.eventhandling.tokenstore.UnableToRetrieveIdentifierException","UnableToRetrieveIdentifierException","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.eventhandling.tokenstore.ConfigToken","ConfigToken","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.messaging.HandlerExecutionException","HandlerExecutionException","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.messaging.annotation.MultiHandlerDefinition","MultiHandlerDefinition","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.messaging.annotation.MultiHandlerEnhancerDefinition","MultiHandlerEnhancerDefinition","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.messaging.annotation.MessageHandlerInterceptorMemberChain","MessageHandlerInterceptorMemberChain","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" "org.axonframework.messaging.annotation.MultiParameterResolverFactory","MultiParameterResolverFactory","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.messaging.annotation.MultiHandlerDefinition","MultiHandlerDefinition","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.messaging.correlation.CorrelationDataProvider","CorrelationDataProvider","Type,File,Java,ByteCode,Interface",3,"" "org.axonframework.messaging.deadletter.GenericDeadLetter","GenericDeadLetter","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" "org.axonframework.messaging.responsetypes.ResponseType","ResponseType","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" "org.axonframework.queryhandling.QueryMessage","QueryMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" -"org.axonframework.serialization.CannotConvertBetweenTypesException","CannotConvertBetweenTypesException","Type,File,Java,ByteCode,Class",3,"" -"org.axonframework.serialization.LazyDeserializingObject","LazyDeserializingObject","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" "org.axonframework.serialization.ContentTypeConverter","ContentTypeConverter","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" "org.axonframework.serialization.Converter","Converter","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.serialization.LazyDeserializingObject","LazyDeserializingObject","Type,File,Java,ByteCode,Class,GenericDeclaration",3,"" +"org.axonframework.serialization.CannotConvertBetweenTypesException","CannotConvertBetweenTypesException","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.modelling.command.ConcurrencyException","ConcurrencyException","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.modelling.command.ApplyMore","ApplyMore","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.modelling.command.CommandTargetResolver","CommandTargetResolver","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.modelling.command.ConflictingAggregateVersionException","ConflictingAggregateVersionException","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.modelling.saga.ResourceInjector","ResourceInjector","Type,File,Java,ByteCode,Interface",3,"" +"org.axonframework.modelling.saga.SagaRepository","SagaRepository","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" +"org.axonframework.eventsourcing.AggregateFactory","AggregateFactory","Type,File,Java,ByteCode,GenericDeclaration,Interface",3,"" +"org.axonframework.eventsourcing.eventstore.BatchingEventStorageEngine","BatchingEventStorageEngine","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.eventsourcing.eventstore.BatchingEventStorageEngine$Builder","BatchingEventStorageEngine$Builder","Type,File,Java,ByteCode,Class",3,"" +"org.axonframework.eventsourcing.eventstore.AbstractEventStorageEngine$Builder","AbstractEventStorageEngine$Builder","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.test.matchers.Matchers","Matchers","Type,File,Java,ByteCode,Class",3,"" "org.axonframework.test.matchers.FieldFilter","FieldFilter","Type,File,Java,ByteCode,Interface",3,"" -"org.axonframework.eventsourcing.GenericAggregateFactory","GenericAggregateFactory","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.eventsourcing.EventSourcedAggregate","EventSourcedAggregate","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.eventsourcing.EventSourcingRepository","EventSourcingRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.eventsourcing.NoSnapshotTriggerDefinition","NoSnapshotTriggerDefinition","Type,File,Java,ByteCode,Enum",2,"" -"org.axonframework.eventsourcing.EventSourcingRepository$Builder","EventSourcingRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.eventsourcing.SnapshotTriggerDefinition","SnapshotTriggerDefinition","Type,File,Java,ByteCode,Interface",2,"" -"org.axonframework.eventsourcing.eventstore.EventStoreException","EventStoreException","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.command.AnnotationCommandTargetResolver$Builder","AnnotationCommandTargetResolver$Builder","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler$Builder","AggregateAnnotationCommandHandler$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.command.LockingRepository","LockingRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.command.AggregateScopeDescriptor","AggregateScopeDescriptor","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.command.AggregateLifecycle","AggregateLifecycle","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.command.AnnotationCommandTargetResolver","AnnotationCommandTargetResolver","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.command.AbstractRepository$Builder","AbstractRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.command.AggregateAnnotationCommandHandler","AggregateAnnotationCommandHandler","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.command.LockingRepository$Builder","LockingRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.saga.AnnotatedSagaManager$Builder","AnnotatedSagaManager$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.saga.SimpleResourceInjector","SimpleResourceInjector","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.saga.AnnotatedSagaManager","AnnotatedSagaManager","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.saga.metamodel.AnnotationSagaMetaModelFactory","AnnotationSagaMetaModelFactory","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.saga.metamodel.SagaModel","SagaModel","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" -"org.axonframework.modelling.saga.repository.AnnotatedSagaRepository$Builder","AnnotatedSagaRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.saga.repository.AnnotatedSagaRepository","AnnotatedSagaRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.modelling.saga.repository.inmemory.InMemorySagaStore","InMemorySagaStore","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.modelling.saga.repository.jpa.SagaEntry","SagaEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.commandhandling.DuplicateCommandHandlerResolver","DuplicateCommandHandlerResolver","Type,File,Java,ByteCode,Interface",2,"" -"org.axonframework.commandhandling.CommandMessageHandlingMember","CommandMessageHandlingMember","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" -"org.axonframework.commandhandling.SimpleCommandBus$Builder","SimpleCommandBus$Builder","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.commandhandling.MonitorAwareCallback","MonitorAwareCallback","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.commandhandling.CommandExecutionException","CommandExecutionException","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.commandhandling.AnnotationCommandHandlerAdapter","AnnotationCommandHandlerAdapter","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" "org.axonframework.commandhandling.RoutingKey","RoutingKey","Type,File,Java,ByteCode,Annotation",2,"" "org.axonframework.commandhandling.SimpleCommandBus","SimpleCommandBus","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.commandhandling.AnnotationCommandHandlerAdapter","AnnotationCommandHandlerAdapter","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.commandhandling.CommandExecutionException","CommandExecutionException","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.commandhandling.CommandMessageHandlingMember","CommandMessageHandlingMember","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" +"org.axonframework.commandhandling.SimpleCommandBus$Builder","SimpleCommandBus$Builder","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.commandhandling.DuplicateCommandHandlerResolver","DuplicateCommandHandlerResolver","Type,File,Java,ByteCode,Interface",2,"" "org.axonframework.commandhandling.callbacks.NoOpCallback","NoOpCallback","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.commandhandling.gateway.DefaultCommandGateway","DefaultCommandGateway","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.commandhandling.gateway.DefaultCommandGateway$Builder","DefaultCommandGateway$Builder","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.common.ProcessUtils","ProcessUtils","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.commandhandling.gateway.DefaultCommandGateway","DefaultCommandGateway","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.common.CollectionUtils","CollectionUtils","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.common.ProcessUtils","ProcessUtils","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.common.jdbc.Oracle11Utils","Oracle11Utils","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.common.jdbc.JdbcUtils$SqlResultConverter","JdbcUtils$SqlResultConverter","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" "org.axonframework.common.jdbc.JdbcUtils$SqlFunction","JdbcUtils$SqlFunction","Type,File,Java,ByteCode,Interface",2,"" -"org.axonframework.common.jdbc.Oracle11Utils","Oracle11Utils","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.common.lock.Lock","Lock","Type,File,Java,ByteCode,Interface",2,"" "org.axonframework.common.transaction.Transaction","Transaction","Type,File,Java,ByteCode,Interface",2,"" "org.axonframework.deadline.DeadlineException","DeadlineException","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.deadline.AbstractDeadlineManager","AbstractDeadlineManager","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.deadline.DeadlineManager","DeadlineManager","Type,File,Java,ByteCode,Interface",2,"" -"org.axonframework.eventhandling.SimpleEventBus","SimpleEventBus","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.eventhandling.SimpleEventHandlerInvoker$Builder","SimpleEventHandlerInvoker$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.deadline.AbstractDeadlineManager","AbstractDeadlineManager","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.eventhandling.GlobalSequenceTrackingToken","GlobalSequenceTrackingToken","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.eventhandling.ErrorHandler","ErrorHandler","Type,File,Java,ByteCode,Interface",2,"" +"org.axonframework.eventhandling.ReplayToken","ReplayToken","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.eventhandling.AbstractEventBus$Builder","AbstractEventBus$Builder","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.eventhandling.SimpleEventHandlerInvoker","SimpleEventHandlerInvoker","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.eventhandling.PropagatingErrorHandler","PropagatingErrorHandler","Type,File,Java,ByteCode,Enum",2,"" "org.axonframework.eventhandling.EventUtils","EventUtils","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.eventhandling.SimpleEventHandlerInvoker$Builder","SimpleEventHandlerInvoker$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.eventhandling.SimpleEventBus$Builder","SimpleEventBus$Builder","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.eventhandling.SimpleEventBus","SimpleEventBus","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.eventhandling.EventData","EventData","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" -"org.axonframework.eventhandling.PropagatingErrorHandler","PropagatingErrorHandler","Type,File,Java,ByteCode,Enum",2,"" "org.axonframework.eventhandling.GenericTrackedEventMessage","GenericTrackedEventMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.eventhandling.SimpleEventHandlerInvoker","SimpleEventHandlerInvoker","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.eventhandling.SimpleEventBus$Builder","SimpleEventBus$Builder","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.eventhandling.ErrorHandler","ErrorHandler","Type,File,Java,ByteCode,Interface",2,"" -"org.axonframework.eventhandling.AbstractEventBus$Builder","AbstractEventBus$Builder","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.eventhandling.ReplayToken","ReplayToken","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.eventhandling.async.SequentialPerAggregatePolicy","SequentialPerAggregatePolicy","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.eventhandling.async.SequencingPolicy","SequencingPolicy","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" +"org.axonframework.eventhandling.async.SequentialPerAggregatePolicy","SequentialPerAggregatePolicy","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.eventhandling.scheduling.SchedulingException","SchedulingException","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.eventhandling.tokenstore.AbstractTokenEntry","AbstractTokenEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.messaging.SubscribableMessageSource","SubscribableMessageSource","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" "org.axonframework.messaging.Distributed","Distributed","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" "org.axonframework.messaging.IllegalPayloadAccessException","IllegalPayloadAccessException","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.messaging.SubscribableMessageSource","SubscribableMessageSource","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" "org.axonframework.messaging.annotation.SimpleResourceParameterResolverFactory","SimpleResourceParameterResolverFactory","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.messaging.annotation.ClasspathHandlerEnhancerDefinition","ClasspathHandlerEnhancerDefinition","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.messaging.deadletter.NoSuchDeadLetterException","NoSuchDeadLetterException","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.messaging.deadletter.Decisions","Decisions","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.messaging.deadletter.DeadLetterQueueOverflowException","DeadLetterQueueOverflowException","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.messaging.deadletter.EnqueuePolicy","EnqueuePolicy","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" "org.axonframework.messaging.deadletter.WrongDeadLetterTypeException","WrongDeadLetterTypeException","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.messaging.deadletter.Cause","Cause","Type,File,Java,ByteCode,Interface",2,"" +"org.axonframework.messaging.deadletter.NoSuchDeadLetterException","NoSuchDeadLetterException","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.messaging.deadletter.ThrowableCause","ThrowableCause","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.messaging.deadletter.SequencedDeadLetterProcessor","SequencedDeadLetterProcessor","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" -"org.axonframework.messaging.deadletter.Cause","Cause","Type,File,Java,ByteCode,Interface",2,"" -"org.axonframework.messaging.deadletter.EnqueuePolicy","EnqueuePolicy","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" -"org.axonframework.messaging.deadletter.Decisions","Decisions","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.messaging.interceptors.MessageHandlerInterceptor","MessageHandlerInterceptor","Type,File,Java,ByteCode,Annotation",2,"" "org.axonframework.messaging.unitofwork.BatchingUnitOfWork","BatchingUnitOfWork","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" "org.axonframework.queryhandling.QueryBus","QueryBus","Type,File,Java,ByteCode,Interface",2,"" "org.axonframework.queryhandling.QueryHandler","QueryHandler","Type,File,Java,ByteCode,Annotation",2,"" +"org.axonframework.serialization.AnnotationRevisionResolver","AnnotationRevisionResolver","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.serialization.CachingSupplier","CachingSupplier","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" "org.axonframework.serialization.SerializedMetaData","SerializedMetaData","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" "org.axonframework.serialization.ChainingConverter","ChainingConverter","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.serialization.CachingSupplier","CachingSupplier","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" -"org.axonframework.serialization.AnnotationRevisionResolver","AnnotationRevisionResolver","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.serialization.upcasting.event.InitialEventRepresentation","InitialEventRepresentation","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.serialization.upcasting.event.IntermediateEventRepresentation","IntermediateEventRepresentation","Type,File,Java,ByteCode,Interface",2,"" +"org.axonframework.modelling.command.LockingRepository$Builder","LockingRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.command.AnnotationCommandTargetResolver$Builder","AnnotationCommandTargetResolver$Builder","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.command.LockingRepository","LockingRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.command.AbstractRepository$Builder","AbstractRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.command.AggregateScopeDescriptor","AggregateScopeDescriptor","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.command.AggregateLifecycle","AggregateLifecycle","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler$Builder","AggregateAnnotationCommandHandler$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.command.AggregateAnnotationCommandHandler","AggregateAnnotationCommandHandler","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.command.AnnotationCommandTargetResolver","AnnotationCommandTargetResolver","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.saga.AnnotatedSagaManager$Builder","AnnotatedSagaManager$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.saga.SimpleResourceInjector","SimpleResourceInjector","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.saga.AnnotatedSagaManager","AnnotatedSagaManager","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.saga.metamodel.AnnotationSagaMetaModelFactory","AnnotationSagaMetaModelFactory","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.saga.metamodel.SagaModel","SagaModel","Type,File,Java,ByteCode,GenericDeclaration,Interface",2,"" +"org.axonframework.modelling.saga.repository.AnnotatedSagaRepository","AnnotatedSagaRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.saga.repository.AnnotatedSagaRepository$Builder","AnnotatedSagaRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.modelling.saga.repository.inmemory.InMemorySagaStore","InMemorySagaStore","Type,File,Java,ByteCode,Class",2,"" +"org.axonframework.modelling.saga.repository.jpa.SagaEntry","SagaEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.eventsourcing.SnapshotTriggerDefinition","SnapshotTriggerDefinition","Type,File,Java,ByteCode,Interface",2,"" +"org.axonframework.eventsourcing.EventSourcingRepository","EventSourcingRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.eventsourcing.EventSourcedAggregate","EventSourcedAggregate","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.eventsourcing.NoSnapshotTriggerDefinition","NoSnapshotTriggerDefinition","Type,File,Java,ByteCode,Enum",2,"" +"org.axonframework.eventsourcing.EventSourcingRepository$Builder","EventSourcingRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.eventsourcing.GenericAggregateFactory","GenericAggregateFactory","Type,File,Java,ByteCode,Class,GenericDeclaration",2,"" +"org.axonframework.eventsourcing.eventstore.EventStoreException","EventStoreException","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.test.matchers.IgnoreField","IgnoreField","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.test.deadline.StubDeadlineManager","StubDeadlineManager","Type,File,Java,ByteCode,Class",2,"" "org.axonframework.test.deadline.DeadlineManagerValidator","DeadlineManagerValidator","Type,File,Java,ByteCode,Class",2,"" -"org.axonframework.eventsourcing.AggregateCacheEntry","AggregateCacheEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.eventsourcing.SnapshotTrigger","SnapshotTrigger","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.Snapshotter","Snapshotter","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.EventStreamUtils","EventStreamUtils","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.AggregateSnapshotter","AggregateSnapshotter","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.AggregateSnapshotter$Builder","AggregateSnapshotter$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.conflictresolution.ConflictResolution","ConflictResolution","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.conflictresolution.DefaultConflictResolver","DefaultConflictResolver","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.EmbeddedEventStore$Builder","EmbeddedEventStore$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.EmbeddedEventStore","EmbeddedEventStore","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.AbstractSnapshotEventEntry","AbstractSnapshotEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.eventsourcing.eventstore.AbstractEventStore","AbstractEventStore","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.AbstractEventStore$Builder","AbstractEventStore$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.EventSchema","EventSchema","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadEventDataForAggregateStatementBuilder","ReadEventDataForAggregateStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadEventDataWithoutGapsStatementBuilder","ReadEventDataWithoutGapsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.JdbcEventStorageEngineStatements","JdbcEventStorageEngineStatements","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.CreateTokenAtStatementBuilder","CreateTokenAtStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.CreateHeadTokenStatementBuilder","CreateHeadTokenStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.CleanGapsStatementBuilder","CleanGapsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.DeleteSnapshotsStatementBuilder","DeleteSnapshotsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadEventDataWithGapsStatementBuilder","ReadEventDataWithGapsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.AppendEventsStatementBuilder","AppendEventsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.FetchTrackedEventsStatementBuilder","FetchTrackedEventsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadSnapshotDataStatementBuilder","ReadSnapshotDataStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.LastSequenceNumberForStatementBuilder","LastSequenceNumberForStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.CreateTailTokenStatementBuilder","CreateTailTokenStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jdbc.statements.AppendSnapshotStatementBuilder","AppendSnapshotStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventsourcing.eventstore.jpa.JpaEventStorageEngine$Builder","JpaEventStorageEngine$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.jpa.JpaEventStorageEngine","JpaEventStorageEngine","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.jpa.SnapshotEventEntry","SnapshotEventEntry","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.eventstore.jpa.DomainEventEntry","DomainEventEntry","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.snapshotting.RevisionSnapshotFilter","RevisionSnapshotFilter","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventsourcing.snapshotting.RevisionSnapshotFilter$Builder","RevisionSnapshotFilter$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.command.VersionedAggregateIdentifier","VersionedAggregateIdentifier","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.command.AggregateVersion","AggregateVersion","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.modelling.command.AggregateRoot","AggregateRoot","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.modelling.command.ForwardingMode","ForwardingMode","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.modelling.command.EntityId","EntityId","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.modelling.command.AggregateMember","AggregateMember","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.modelling.command.GenericJpaRepository","GenericJpaRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.command.AggregateInvocationException","AggregateInvocationException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.command.LockAwareAggregate","LockAwareAggregate","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.command.CreationPolicyAggregateFactory","CreationPolicyAggregateFactory","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.modelling.command.GenericJpaRepository$Builder","GenericJpaRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.command.CreationPolicy","CreationPolicy","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.modelling.command.CommandHandlerInterceptor","CommandHandlerInterceptor","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.modelling.command.AggregateEntityNotFoundException","AggregateEntityNotFoundException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.command.NoArgumentConstructorCreationPolicyAggregateFactory","NoArgumentConstructorCreationPolicyAggregateFactory","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.command.AggregateCreationPolicy","AggregateCreationPolicy","Type,File,Java,ByteCode,Enum",1,"" -"org.axonframework.modelling.command.AggregateStreamCreationException","AggregateStreamCreationException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.command.inspection.EntityModel","EntityModel","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.modelling.command.inspection.CreationPolicyMember","CreationPolicyMember","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.modelling.command.inspection.AggregateMetaModelFactory","AggregateMetaModelFactory","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.modelling.saga.AbstractResourceInjector","AbstractResourceInjector","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.saga.AbstractSagaManager","AbstractSagaManager","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.saga.AnnotatedSaga","AnnotatedSaga","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.saga.SagaMethodMessageHandlingMember","SagaMethodMessageHandlingMember","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.modelling.saga.Saga","Saga","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.modelling.saga.SagaStorageException","SagaStorageException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.saga.repository.NoResourceInjector","NoResourceInjector","Type,File,Java,ByteCode,Enum",1,"" -"org.axonframework.modelling.saga.repository.jpa.SerializedSaga","SerializedSaga","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.saga.repository.jpa.JpaSagaStore","JpaSagaStore","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.saga.repository.jpa.AssociationValueEntry","AssociationValueEntry","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.modelling.saga.repository.jpa.JpaSagaStore$Builder","JpaSagaStore$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.commandhandling.CommandHandler","CommandHandler","Type,File,Java,ByteCode,Annotation",1,"" "org.axonframework.commandhandling.CommandMessageHandler","CommandMessageHandler","Type,File,Java,ByteCode,Interface",1,"" "org.axonframework.commandhandling.LoggingDuplicateCommandHandlerResolver","LoggingDuplicateCommandHandlerResolver","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.commandhandling.DuplicateCommandHandlerResolution","DuplicateCommandHandlerResolution","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.commandhandling.CommandHandler","CommandHandler","Type,File,Java,ByteCode,Annotation",1,"" "org.axonframework.commandhandling.callbacks.FutureCallback","FutureCallback","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.commandhandling.callbacks.FailureLoggingCallback","FailureLoggingCallback","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.commandhandling.distributed.CommandMessageFilter","CommandMessageFilter","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.commandhandling.distributed.commandfilter.OrCommandMessageFilter","OrCommandMessageFilter","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.commandhandling.distributed.commandfilter.DenyAll","DenyAll","Type,File,Java,ByteCode,Enum",1,"" -"org.axonframework.commandhandling.distributed.commandfilter.NegateCommandMessageFilter","NegateCommandMessageFilter","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.commandhandling.distributed.commandfilter.AndCommandMessageFilter","AndCommandMessageFilter","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.commandhandling.distributed.commandfilter.DenyCommandNameFilter","DenyCommandNameFilter","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.commandhandling.distributed.commandfilter.NegateCommandMessageFilter","NegateCommandMessageFilter","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.commandhandling.distributed.commandfilter.CommandNameFilter","CommandNameFilter","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.commandhandling.gateway.CommandGatewayFactory$InvocationHandler","CommandGatewayFactory$InvocationHandler","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.commandhandling.distributed.commandfilter.DenyAll","DenyAll","Type,File,Java,ByteCode,Enum",1,"" +"org.axonframework.commandhandling.distributed.commandfilter.OrCommandMessageFilter","OrCommandMessageFilter","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.commandhandling.distributed.commandfilter.DenyCommandNameFilter","DenyCommandNameFilter","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.commandhandling.gateway.CommandGateway","CommandGateway","Type,File,Java,ByteCode,Interface",1,"" "org.axonframework.commandhandling.gateway.CommandGatewayFactory","CommandGatewayFactory","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.commandhandling.gateway.CommandGatewayFactory$InvocationHandler","CommandGatewayFactory$InvocationHandler","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" "org.axonframework.commandhandling.gateway.CommandGatewayFactory$Builder","CommandGatewayFactory$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.common.StringUtils","StringUtils","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.DirectExecutor","DirectExecutor","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.common.IdentifierValidator","IdentifierValidator","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.TypeReflectionUtils","TypeReflectionUtils","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.common.IdentifierValidator","IdentifierValidator","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.ListUtils","ListUtils","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.common.StringUtils","StringUtils","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.annotation.PriorityAnnotationComparator","PriorityAnnotationComparator","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.common.caching.NoCache","NoCache","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.caching.WeakReferenceCache","WeakReferenceCache","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.common.caching.NoCache","NoCache","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.digest.Digester","Digester","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.common.jdbc.JdbcException","JdbcException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.common.jdbc.UnitOfWorkAwareConnectionProviderWrapper","UnitOfWorkAwareConnectionProviderWrapper","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.jdbc.DataSourceConnectionProvider","DataSourceConnectionProvider","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.common.jdbc.UnitOfWorkAwareConnectionProviderWrapper","UnitOfWorkAwareConnectionProviderWrapper","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.common.jdbc.JdbcException","JdbcException","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.jpa.PagingJpaQueryIterable","PagingJpaQueryIterable","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.common.legacyjpa.PagingJpaQueryIterable","PagingJpaQueryIterable","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.common.lock.NoOpLock","NoOpLock","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.common.lock.DeadlockException","DeadlockException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.deadline.SimpleDeadlineManager","SimpleDeadlineManager","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.deadline.SimpleDeadlineManager$Builder","SimpleDeadlineManager$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.AllowReplay","AllowReplay","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.eventhandling.SubscribingEventProcessor","SubscribingEventProcessor","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.TrackingEventProcessor","TrackingEventProcessor","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.TrackerStatus","TrackerStatus","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.ReplayStatus","ReplayStatus","Type,File,Java,ByteCode,Enum",1,"" -"org.axonframework.eventhandling.WrappedToken","WrappedToken","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.deadline.SimpleDeadlineManager","SimpleDeadlineManager","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.AbstractSequencedDomainEventEntry","AbstractSequencedDomainEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.eventhandling.EventTrackerStatus","EventTrackerStatus","Type,File,Java,ByteCode,Interface",1,"" "org.axonframework.eventhandling.AbstractEventProcessor$Builder","AbstractEventProcessor$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.SubscribingEventProcessor","SubscribingEventProcessor","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.MultiStreamableMessageSource","MultiStreamableMessageSource","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.TrackingEventProcessor","TrackingEventProcessor","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.AbstractEventEntry","AbstractEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.eventhandling.TrackingEventProcessor$Builder","TrackingEventProcessor$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.MultiEventHandlerInvoker","MultiEventHandlerInvoker","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.SubscribingEventProcessor$Builder","SubscribingEventProcessor$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.MultiStreamableMessageSource$Builder","MultiStreamableMessageSource$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.EventTrackerStatus","EventTrackerStatus","Type,File,Java,ByteCode,Interface",1,"" "org.axonframework.eventhandling.StreamingEventProcessor","StreamingEventProcessor","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventhandling.AbstractEventEntry","AbstractEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.eventhandling.AbstractEventProcessor","AbstractEventProcessor","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.AbstractSequencedDomainEventEntry","AbstractSequencedDomainEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.eventhandling.MergedTrackingToken","MergedTrackingToken","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.EventProcessingStrategy","EventProcessingStrategy","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventhandling.TrackingEventProcessor$Builder","TrackingEventProcessor$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.ResetNotSupportedException","ResetNotSupportedException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.AbstractEventProcessor","AbstractEventProcessor","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.MultiStreamableMessageSource$Builder","MultiStreamableMessageSource$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.TrackingEventProcessorConfiguration","TrackingEventProcessorConfiguration","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.EventProcessor","EventProcessor","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventhandling.MultiEventHandlerInvoker","MultiEventHandlerInvoker","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.WrappedToken","WrappedToken","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventhandling.ReplayStatus","ReplayStatus","Type,File,Java,ByteCode,Enum",1,"" +"org.axonframework.eventhandling.AllowReplay","AllowReplay","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.eventhandling.ResetNotSupportedException","ResetNotSupportedException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.TrackerStatus","TrackerStatus","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.AbstractEventBus","AbstractEventBus","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.DirectEventProcessingStrategy","DirectEventProcessingStrategy","Type,File,Java,ByteCode,Enum",1,"" -"org.axonframework.eventhandling.TrackingEventProcessorConfiguration","TrackingEventProcessorConfiguration","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.MergedTrackingToken","MergedTrackingToken","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.deadletter.DeadLetteringEventHandlerInvoker$Builder","DeadLetteringEventHandlerInvoker$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.deadletter.DeadLetteringEventHandlerInvoker","DeadLetteringEventHandlerInvoker","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.deadletter.jpa.DeadLetterEntry","DeadLetterEntry","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.deadletter.jpa.NoJpaConverterFoundException","NoJpaConverterFoundException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.deadletter.jpa.DeadLetterEntry","DeadLetterEntry","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.deadletter.jpa.DeadLetterEventEntry","DeadLetterEventEntry","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.gateway.DefaultEventGateway","DefaultEventGateway","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.gateway.DefaultEventGateway$Builder","DefaultEventGateway$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.gateway.EventGateway","EventGateway","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.eventhandling.pooled.PooledStreamingEventProcessor$Builder","PooledStreamingEventProcessor$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.pooled.PooledStreamingEventProcessor","PooledStreamingEventProcessor","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.replay.ResetContext","ResetContext","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.eventhandling.pooled.PooledStreamingEventProcessor$Builder","PooledStreamingEventProcessor$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.replay.GenericResetContext","GenericResetContext","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.eventhandling.replay.ResetContext","ResetContext","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" "org.axonframework.eventhandling.tokenstore.GenericTokenEntry","GenericTokenEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.eventhandling.tokenstore.inmemory.InMemoryTokenStore","InMemoryTokenStore","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.tokenstore.jpa.JpaTokenStore$Builder","JpaTokenStore$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.tokenstore.jpa.JpaTokenStore","JpaTokenStore","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.eventhandling.tokenstore.jpa.TokenEntry$PK","TokenEntry$PK","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.eventhandling.tokenstore.jpa.TokenEntry","TokenEntry","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventhandling.tokenstore.jpa.TokenEntry$PK","TokenEntry$PK","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.lifecycle.ShutdownHandler","ShutdownHandler","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.lifecycle.StartHandler","StartHandler","Type,File,Java,ByteCode,Annotation",1,"" "org.axonframework.lifecycle.LifecycleHandlerInvocationException","LifecycleHandlerInvocationException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.lifecycle.StartHandler","StartHandler","Type,File,Java,ByteCode,Annotation",1,"" "org.axonframework.messaging.RemoteHandlingException","RemoteHandlingException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.messaging.NoScopeDescriptor","NoScopeDescriptor","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.messaging.HandlerAttributes","HandlerAttributes","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.messaging.AbstractMessage","AbstractMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.RemoteExceptionDescription","RemoteExceptionDescription","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.messaging.SimpleHandlerAttributes","SimpleHandlerAttributes","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.messaging.AbstractMessage","AbstractMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.RemoteNonTransientHandlingException","RemoteNonTransientHandlingException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.messaging.NoScopeDescriptor","NoScopeDescriptor","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.messaging.annotation.UnsupportedHandlerException","UnsupportedHandlerException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.messaging.annotation.FixedValueParameterResolver","FixedValueParameterResolver","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.annotation.AbstractAnnotatedParameterResolverFactory","AbstractAnnotatedParameterResolverFactory","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.messaging.annotation.MessageHandlerInvocationException","MessageHandlerInvocationException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.messaging.annotation.MessageInterceptingMember","MessageInterceptingMember","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" "org.axonframework.messaging.annotation.MetaDataValue","MetaDataValue","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.messaging.annotation.MessageInterceptingMember","MessageInterceptingMember","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.messaging.annotation.MessageHandlerInvocationException","MessageHandlerInvocationException","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.messaging.annotation.InterceptorChainParameterResolverFactory","InterceptorChainParameterResolverFactory","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.messaging.annotation.UnsupportedHandlerException","UnsupportedHandlerException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.messaging.annotation.FixedValueParameterResolver","FixedValueParameterResolver","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.correlation.MessageOriginProvider","MessageOriginProvider","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.messaging.interceptors.ResultHandler","ResultHandler","Type,File,Java,ByteCode,Annotation",1,"" "org.axonframework.messaging.interceptors.CorrelationDataInterceptor","CorrelationDataInterceptor","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.interceptors.TransactionManagingInterceptor","TransactionManagingInterceptor","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.messaging.interceptors.ResultHandler","ResultHandler","Type,File,Java,ByteCode,Annotation",1,"" "org.axonframework.messaging.responsetypes.OptionalResponseType","OptionalResponseType","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.messaging.responsetypes.MultipleInstancesResponseType","MultipleInstancesResponseType","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.responsetypes.ResponseTypes","ResponseTypes","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.messaging.responsetypes.PublisherResponseType","PublisherResponseType","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.messaging.unitofwork.MessageProcessingContext","MessageProcessingContext","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.messaging.responsetypes.MultipleInstancesResponseType","MultipleInstancesResponseType","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.messaging.unitofwork.AbstractUnitOfWork","AbstractUnitOfWork","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.queryhandling.SubscriptionQueryUpdateMessage","SubscriptionQueryUpdateMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.queryhandling.SimpleQueryUpdateEmitter","SimpleQueryUpdateEmitter","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.LoggingQueryInvocationErrorHandler","LoggingQueryInvocationErrorHandler","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.DefaultQueryGateway$Builder","DefaultQueryGateway$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.messaging.unitofwork.MessageProcessingContext","MessageProcessingContext","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.queryhandling.NoHandlerForQueryException","NoHandlerForQueryException","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.queryhandling.QueryUpdateEmitter","QueryUpdateEmitter","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.queryhandling.GenericQueryMessage","GenericQueryMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.queryhandling.LoggingQueryInvocationErrorHandler$Builder","LoggingQueryInvocationErrorHandler$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.queryhandling.DefaultQueryGateway","DefaultQueryGateway","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.QueryInvocationErrorHandler","QueryInvocationErrorHandler","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.queryhandling.GenericSubscriptionQueryUpdateMessage","GenericSubscriptionQueryUpdateMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.queryhandling.GenericQueryMessage","GenericQueryMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.queryhandling.DefaultQueryGateway$Builder","DefaultQueryGateway$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.queryhandling.SimpleQueryUpdateEmitter","SimpleQueryUpdateEmitter","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.queryhandling.SimpleQueryBus","SimpleQueryBus","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.queryhandling.QueryResponseMessage","QueryResponseMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.queryhandling.LoggingQueryInvocationErrorHandler","LoggingQueryInvocationErrorHandler","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.queryhandling.QuerySubscription","QuerySubscription","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.queryhandling.SimpleQueryBus$Builder","SimpleQueryBus$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.queryhandling.SimpleQueryUpdateEmitter$Builder","SimpleQueryUpdateEmitter$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.queryhandling.GenericQueryResponseMessage","GenericQueryResponseMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.queryhandling.QueryHandlerAdapter","QueryHandlerAdapter","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.queryhandling.QueryInvocationErrorHandler","QueryInvocationErrorHandler","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.queryhandling.GenericSubscriptionQueryUpdateMessage","GenericSubscriptionQueryUpdateMessage","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.queryhandling.QueryGateway","QueryGateway","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.queryhandling.NoHandlerForQueryException","NoHandlerForQueryException","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.SimpleQueryBus$Builder","SimpleQueryBus$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.LoggingQueryInvocationErrorHandler$Builder","LoggingQueryInvocationErrorHandler$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.QueryResponseMessage","QueryResponseMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" -"org.axonframework.queryhandling.SimpleQueryBus","SimpleQueryBus","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.SimpleQueryUpdateEmitter$Builder","SimpleQueryUpdateEmitter$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.queryhandling.QuerySubscription","QuerySubscription","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.queryhandling.SubscriptionQueryUpdateMessage","SubscriptionQueryUpdateMessage","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" "org.axonframework.queryhandling.annotation.AnnotationQueryHandlerAdapter","AnnotationQueryHandlerAdapter","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.queryhandling.registration.DuplicateQueryHandlerResolution","DuplicateQueryHandlerResolution","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.queryhandling.registration.DuplicateQueryHandlerResolver","DuplicateQueryHandlerResolver","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.queryhandling.registration.DuplicateQueryHandlerResolution","DuplicateQueryHandlerResolution","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.serialization.AbstractXStreamSerializer$Builder","AbstractXStreamSerializer$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.serialization.UnknownSerializedType","UnknownSerializedType","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.serialization.SerializedObjectHolder","SerializedObjectHolder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.serialization.SerializationException","SerializationException","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.serialization.AbstractXStreamSerializer","AbstractXStreamSerializer","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.serialization.SerializedObjectHolder","SerializedObjectHolder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.serialization.UnknownSerializedType","UnknownSerializedType","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.serialization.Revision","Revision","Type,File,Java,ByteCode,Annotation",1,"" -"org.axonframework.serialization.AbstractXStreamSerializer$Builder","AbstractXStreamSerializer$Builder","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.serialization.upcasting.ContextAwareSingleEntryUpcaster","ContextAwareSingleEntryUpcaster","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.serialization.upcasting.Upcaster","Upcaster","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" "org.axonframework.serialization.upcasting.SingleEntryMultiUpcaster","SingleEntryMultiUpcaster","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.serialization.upcasting.ContextAwareSingleEntryMultiUpcaster","ContextAwareSingleEntryMultiUpcaster","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.serialization.upcasting.GenericUpcasterChain","GenericUpcasterChain","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.serialization.upcasting.ContextAwareSingleEntryMultiUpcaster","ContextAwareSingleEntryMultiUpcaster","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.serialization.upcasting.Upcaster","Upcaster","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.serialization.upcasting.ContextAwareSingleEntryUpcaster","ContextAwareSingleEntryUpcaster","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.serialization.upcasting.SingleEntryUpcaster","SingleEntryUpcaster","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" -"org.axonframework.serialization.upcasting.event.NoOpEventUpcaster","NoOpEventUpcaster","Type,File,Java,ByteCode,Enum",1,"" "org.axonframework.serialization.upcasting.event.EventUpcasterChain","EventUpcasterChain","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.serialization.upcasting.event.NoOpEventUpcaster","NoOpEventUpcaster","Type,File,Java,ByteCode,Enum",1,"" "org.axonframework.serialization.xml.XStreamSerializer$Builder","XStreamSerializer$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.tracing.SpanAttributesProvider","SpanAttributesProvider","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.util.MavenArtifactVersionResolver","MavenArtifactVersionResolver","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.util.HandlerTypeResolver","HandlerTypeResolver","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.util.ClasspathResolver","ClasspathResolver","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.util.HandlerTypeResolver","HandlerTypeResolver","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.util.MavenArtifactVersionResolver","MavenArtifactVersionResolver","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.command.CreationPolicy","CreationPolicy","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.modelling.command.AggregateCreationPolicy","AggregateCreationPolicy","Type,File,Java,ByteCode,Enum",1,"" +"org.axonframework.modelling.command.AggregateInvocationException","AggregateInvocationException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.command.VersionedAggregateIdentifier","VersionedAggregateIdentifier","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.command.CreationPolicyAggregateFactory","CreationPolicyAggregateFactory","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.modelling.command.NoArgumentConstructorCreationPolicyAggregateFactory","NoArgumentConstructorCreationPolicyAggregateFactory","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.command.LockAwareAggregate","LockAwareAggregate","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.command.ForwardingMode","ForwardingMode","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.modelling.command.CommandHandlerInterceptor","CommandHandlerInterceptor","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.modelling.command.EntityId","EntityId","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.modelling.command.GenericJpaRepository","GenericJpaRepository","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.command.AggregateVersion","AggregateVersion","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.modelling.command.AggregateEntityNotFoundException","AggregateEntityNotFoundException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.command.AggregateMember","AggregateMember","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.modelling.command.AggregateRoot","AggregateRoot","Type,File,Java,ByteCode,Annotation",1,"" +"org.axonframework.modelling.command.GenericJpaRepository$Builder","GenericJpaRepository$Builder","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.command.AggregateStreamCreationException","AggregateStreamCreationException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.command.inspection.EntityModel","EntityModel","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.modelling.command.inspection.CreationPolicyMember","CreationPolicyMember","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.modelling.command.inspection.AggregateMetaModelFactory","AggregateMetaModelFactory","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.modelling.saga.Saga","Saga","Type,File,Java,ByteCode,GenericDeclaration,Interface",1,"" +"org.axonframework.modelling.saga.AnnotatedSaga","AnnotatedSaga","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.saga.AbstractSagaManager","AbstractSagaManager","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.saga.SagaMethodMessageHandlingMember","SagaMethodMessageHandlingMember","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.modelling.saga.SagaStorageException","SagaStorageException","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.saga.AbstractResourceInjector","AbstractResourceInjector","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.saga.repository.NoResourceInjector","NoResourceInjector","Type,File,Java,ByteCode,Enum",1,"" +"org.axonframework.modelling.saga.repository.jpa.JpaSagaStore","JpaSagaStore","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.saga.repository.jpa.SerializedSaga","SerializedSaga","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.saga.repository.jpa.JpaSagaStore$Builder","JpaSagaStore$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.modelling.saga.repository.jpa.AssociationValueEntry","AssociationValueEntry","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.disruptor.commandhandling.DisruptorCommandBus","DisruptorCommandBus","Type,File,Java,ByteCode,Class",1,"" -"org.axonframework.test.matchers.MapEntryMatcher","MapEntryMatcher","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.EventStreamUtils","EventStreamUtils","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.AggregateSnapshotter","AggregateSnapshotter","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.Snapshotter","Snapshotter","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.SnapshotTrigger","SnapshotTrigger","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.AggregateSnapshotter$Builder","AggregateSnapshotter$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.AggregateCacheEntry","AggregateCacheEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.eventsourcing.conflictresolution.DefaultConflictResolver","DefaultConflictResolver","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.conflictresolution.ConflictResolution","ConflictResolution","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.AbstractEventStore","AbstractEventStore","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.AbstractSnapshotEventEntry","AbstractSnapshotEventEntry","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" +"org.axonframework.eventsourcing.eventstore.AbstractEventStore$Builder","AbstractEventStore$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.EmbeddedEventStore","EmbeddedEventStore","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.EmbeddedEventStore$Builder","EmbeddedEventStore$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.EventSchema","EventSchema","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.JdbcEventStorageEngineStatements","JdbcEventStorageEngineStatements","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadEventDataWithGapsStatementBuilder","ReadEventDataWithGapsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.CreateTokenAtStatementBuilder","CreateTokenAtStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.CleanGapsStatementBuilder","CleanGapsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadEventDataForAggregateStatementBuilder","ReadEventDataForAggregateStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.LastSequenceNumberForStatementBuilder","LastSequenceNumberForStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.FetchTrackedEventsStatementBuilder","FetchTrackedEventsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.AppendEventsStatementBuilder","AppendEventsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadSnapshotDataStatementBuilder","ReadSnapshotDataStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.CreateHeadTokenStatementBuilder","CreateHeadTokenStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.CreateTailTokenStatementBuilder","CreateTailTokenStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.AppendSnapshotStatementBuilder","AppendSnapshotStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.DeleteSnapshotsStatementBuilder","DeleteSnapshotsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jdbc.statements.ReadEventDataWithoutGapsStatementBuilder","ReadEventDataWithoutGapsStatementBuilder","Type,File,Java,ByteCode,Interface",1,"" +"org.axonframework.eventsourcing.eventstore.jpa.SnapshotEventEntry","SnapshotEventEntry","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.jpa.DomainEventEntry","DomainEventEntry","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.jpa.JpaEventStorageEngine$Builder","JpaEventStorageEngine$Builder","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.eventstore.jpa.JpaEventStorageEngine","JpaEventStorageEngine","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.snapshotting.RevisionSnapshotFilter","RevisionSnapshotFilter","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.eventsourcing.snapshotting.RevisionSnapshotFilter$Builder","RevisionSnapshotFilter$Builder","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.test.matchers.PayloadMatcher","PayloadMatcher","Type,File,Java,ByteCode,Class,GenericDeclaration",1,"" "org.axonframework.test.matchers.MatchAllFieldFilter","MatchAllFieldFilter","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.test.matchers.MapEntryMatcher","MapEntryMatcher","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.test.utils.RecordingCommandBus","RecordingCommandBus","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.test.utils.CallbackBehavior","CallbackBehavior","Type,File,Java,ByteCode,Interface",1,"" -"org.axonframework.test.eventscheduler.EventSchedulerValidator","EventSchedulerValidator","Type,File,Java,ByteCode,Class",1,"" "org.axonframework.test.eventscheduler.StubEventScheduler","StubEventScheduler","Type,File,Java,ByteCode,Class",1,"" +"org.axonframework.test.eventscheduler.EventSchedulerValidator","EventSchedulerValidator","Type,File,Java,ByteCode,Class",1,"" diff --git a/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.ipynb b/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.ipynb index c82ea0053..3edcdfe00 100644 --- a/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.ipynb +++ b/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.ipynb @@ -6,7 +6,7 @@ "id": "2f0eabc4", "metadata": {}, "source": [ - "# Package Dependencies for Java with Neo4j\n", + "# Internal Dependencies\n", "
\n", "\n", "### References\n", @@ -21,10 +21,10 @@ "id": "4191f259", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.127190Z", - "iopub.status.busy": "2023-06-28T21:13:10.126743Z", - "iopub.status.idle": "2023-06-28T21:13:10.711225Z", - "shell.execute_reply": "2023-06-28T21:13:10.710465Z" + "iopub.execute_input": "2023-08-02T12:48:17.268132Z", + "iopub.status.busy": "2023-08-02T12:48:17.267704Z", + "iopub.status.idle": "2023-08-02T12:48:17.656788Z", + "shell.execute_reply": "2023-08-02T12:48:17.656512Z" } }, "outputs": [], @@ -40,10 +40,10 @@ "id": "1c5dab37", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.715441Z", - "iopub.status.busy": "2023-06-28T21:13:10.714875Z", - "iopub.status.idle": "2023-06-28T21:13:10.836608Z", - "shell.execute_reply": "2023-06-28T21:13:10.835460Z" + "iopub.execute_input": "2023-08-02T12:48:17.658474Z", + "iopub.status.busy": "2023-08-02T12:48:17.658336Z", + "iopub.status.idle": "2023-08-02T12:48:17.707865Z", + "shell.execute_reply": "2023-08-02T12:48:17.707598Z" } }, "outputs": [], @@ -60,10 +60,10 @@ "id": "c1db254b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.840030Z", - "iopub.status.busy": "2023-06-28T21:13:10.839691Z", - "iopub.status.idle": "2023-06-28T21:13:10.844797Z", - "shell.execute_reply": "2023-06-28T21:13:10.844138Z" + "iopub.execute_input": "2023-08-02T12:48:17.709435Z", + "iopub.status.busy": "2023-08-02T12:48:17.709349Z", + "iopub.status.idle": "2023-08-02T12:48:17.711194Z", + "shell.execute_reply": "2023-08-02T12:48:17.710946Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "59310f6f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.847819Z", - "iopub.status.busy": "2023-06-28T21:13:10.847465Z", - "iopub.status.idle": "2023-06-28T21:13:10.850805Z", - "shell.execute_reply": "2023-06-28T21:13:10.850173Z" + "iopub.execute_input": "2023-08-02T12:48:17.712398Z", + "iopub.status.busy": "2023-08-02T12:48:17.712327Z", + "iopub.status.idle": "2023-08-02T12:48:17.713840Z", + "shell.execute_reply": "2023-08-02T12:48:17.713600Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "a56670c9", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.853893Z", - "iopub.status.busy": "2023-06-28T21:13:10.853534Z", - "iopub.status.idle": "2023-06-28T21:13:10.856421Z", - "shell.execute_reply": "2023-06-28T21:13:10.855778Z" + "iopub.execute_input": "2023-08-02T12:48:17.715082Z", + "iopub.status.busy": "2023-08-02T12:48:17.715010Z", + "iopub.status.idle": "2023-08-02T12:48:17.716363Z", + "shell.execute_reply": "2023-08-02T12:48:17.716139Z" } }, "outputs": [], @@ -115,10 +115,10 @@ "id": "006b9dc8", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.859124Z", - "iopub.status.busy": "2023-06-28T21:13:10.858903Z", - "iopub.status.idle": "2023-06-28T21:13:10.868402Z", - "shell.execute_reply": "2023-06-28T21:13:10.867790Z" + "iopub.execute_input": "2023-08-02T12:48:17.717651Z", + "iopub.status.busy": "2023-08-02T12:48:17.717565Z", + "iopub.status.idle": "2023-08-02T12:48:17.722043Z", + "shell.execute_reply": "2023-08-02T12:48:17.721814Z" } }, "outputs": [ @@ -175,10 +175,10 @@ "id": "dc682db6", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:10.872398Z", - "iopub.status.busy": "2023-06-28T21:13:10.872074Z", - "iopub.status.idle": "2023-06-28T21:13:11.088688Z", - "shell.execute_reply": "2023-06-28T21:13:11.088008Z" + "iopub.execute_input": "2023-08-02T12:48:17.723457Z", + "iopub.status.busy": "2023-08-02T12:48:17.723376Z", + "iopub.status.idle": "2023-08-02T12:48:17.949141Z", + "shell.execute_reply": "2023-08-02T12:48:17.948878Z" } }, "outputs": [ @@ -211,9 +211,9 @@ " \n", " \n", " 0\n", - " axon-eventsourcing-4.7.5.jar\n", - " 9\n", - " 130\n", + " axon-messaging-4.7.5.jar\n", + " 61\n", + " 729\n", " \n", " \n", " 1\n", @@ -223,21 +223,21 @@ " \n", " \n", " 2\n", - " axon-configuration-4.7.5.jar\n", + " axon-disruptor-4.7.5.jar\n", " 1\n", - " 39\n", + " 22\n", " \n", " \n", " 3\n", - " axon-messaging-4.7.5.jar\n", - " 61\n", - " 729\n", + " axon-eventsourcing-4.7.5.jar\n", + " 9\n", + " 130\n", " \n", " \n", " 4\n", - " axon-disruptor-4.7.5.jar\n", + " axon-configuration-4.7.5.jar\n", " 1\n", - " 22\n", + " 39\n", " \n", " \n", " 5\n", @@ -251,11 +251,11 @@ ], "text/plain": [ " artifactName packages types\n", - "0 axon-eventsourcing-4.7.5.jar 9 130\n", + "0 axon-messaging-4.7.5.jar 61 729\n", "1 axon-modelling-4.7.5.jar 10 149\n", - "2 axon-configuration-4.7.5.jar 1 39\n", - "3 axon-messaging-4.7.5.jar 61 729\n", - "4 axon-disruptor-4.7.5.jar 1 22\n", + "2 axon-disruptor-4.7.5.jar 1 22\n", + "3 axon-eventsourcing-4.7.5.jar 9 130\n", + "4 axon-configuration-4.7.5.jar 1 39\n", "5 axon-test-4.7.5.jar 8 85" ] }, @@ -280,7 +280,7 @@ "These dependencies can lead to a lot of trouble when one of these packages needs to be changed.\n", "\n", "### Table 2\n", - "- List packages with cyclic dependencies" + "- List packages with cyclic dependencies as an overview" ] }, { @@ -289,10 +289,10 @@ "id": "fa634a4e", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:11.092164Z", - "iopub.status.busy": "2023-06-28T21:13:11.091752Z", - "iopub.status.idle": "2023-06-28T21:13:11.635051Z", - "shell.execute_reply": "2023-06-28T21:13:11.634503Z" + "iopub.execute_input": "2023-08-02T12:48:17.950587Z", + "iopub.status.busy": "2023-08-02T12:48:17.950487Z", + "iopub.status.idle": "2023-08-02T12:48:18.011006Z", + "shell.execute_reply": "2023-08-02T12:48:18.010748Z" }, "scrolled": false }, @@ -335,7 +335,7 @@ " 0.882353\n", " 16\n", " 1\n", - " [QueryMessage->ResponseType, SimpleQueryUpdate...\n", + " [StreamingQueryMessage->ResponseType, DefaultQ...\n", " [ConvertingResponseMessage->QueryResponseMessage]\n", " \n", " \n", @@ -345,7 +345,7 @@ " 0.857143\n", " 13\n", " 1\n", - " [TrackingEventProcessor->Span, TrackingEventPr...\n", + " [AbstractEventProcessor$Builder->SpanFactory, ...\n", " [NestingSpanFactory->EventMessage]\n", " \n", " \n", @@ -355,8 +355,8 @@ " 0.853659\n", " 38\n", " 3\n", - " [SubscribingEventProcessor->SubscribableMessag...\n", - " [Headers->EventMessage, Headers->DomainEventMe...\n", + " [TrackingTokenParameterResolverFactory$Trackin...\n", + " [Headers->DomainEventMessage, Headers->EventMe...\n", " \n", " \n", " 3\n", @@ -365,7 +365,7 @@ " 0.840000\n", " 23\n", " 2\n", - " [AllowReplay->HasHandlerAttributes, TimestampP...\n", + " [TrackingTokenParameterResolverFactory$Trackin...\n", " [SourceIdParameterResolverFactory$SourceIdPara...\n", " \n", " \n", @@ -385,7 +385,7 @@ " 0.777778\n", " 16\n", " 2\n", - " [AbstractSnapshotter$Builder->EventStore, Aggr...\n", + " [FilteringEventStorageEngine->DomainEventStrea...\n", " [DomainEventStream->EventStreamUtils, Abstract...\n", " \n", " \n", @@ -395,7 +395,7 @@ " 0.750000\n", " 7\n", " 1\n", - " [SimpleDeadlineManager->Span, SimpleDeadlineMa...\n", + " [SimpleDeadlineManager$Builder->SpanFactory, S...\n", " [SpanUtils->DeadlineMessage]\n", " \n", " \n", @@ -405,8 +405,8 @@ " 0.733333\n", " 13\n", " 2\n", - " [NoOpCallback->CommandMessage, NoOpCallback->C...\n", - " [SimpleCommandBus$Builder->NoOpCallback, Simpl...\n", + " [FutureCallback->CommandCallback, FutureCallba...\n", + " [SimpleCommandBus$Builder->LoggingCallback, Si...\n", " \n", " \n", " 8\n", @@ -415,7 +415,7 @@ " 0.666667\n", " 5\n", " 1\n", - " [SimpleCommandBus$Builder->SpanFactory, Simple...\n", + " [SimpleCommandBus->Span, SimpleCommandBus->Spa...\n", " [SpanUtils->CommandMessage]\n", " \n", " \n", @@ -425,8 +425,8 @@ " 0.647059\n", " 14\n", " 3\n", - " [GenericEventMessage->CachingSupplier, Tracked...\n", - " [AbstractXStreamSerializer->GenericEventMessag...\n", + " [AbstractSequencedDomainEventEntry->Serializer...\n", + " [GapAwareTrackingTokenConverter->GapAwareTrack...\n", " \n", " \n", " 10\n", @@ -435,7 +435,7 @@ " 0.647059\n", " 14\n", " 3\n", - " [MessageProcessingContext->Message, BatchingUn...\n", + " [DefaultUnitOfWork->GenericResultMessage, Defa...\n", " [GenericMessage->CurrentUnitOfWork, MessageHan...\n", " \n", " \n", @@ -446,7 +446,7 @@ " 10\n", " 3\n", " [PropertySequencingPolicy$Builder->EventMessag...\n", - " [SimpleEventHandlerInvoker$Builder->Sequential...\n", + " [SimpleEventHandlerInvoker->SequencingPolicy, ...\n", " \n", " \n", " 12\n", @@ -455,8 +455,8 @@ " 0.454545\n", " 8\n", " 3\n", - " [ReplayParameterResolverFactory->ReplayStatus,...\n", - " [ResetHandler->ResetContext, AnnotationEventHa...\n", + " [ReplayAwareMessageHandlerWrapper->AllowReplay...\n", + " [AnnotationEventHandlerAdapter->GenericResetCo...\n", " \n", " \n", " 13\n", @@ -465,8 +465,8 @@ " 0.333333\n", " 6\n", " 3\n", - " [InitialEventRepresentation->DomainEventData, ...\n", - " [EventUtils->EventUpcaster, EventUtils->Initia...\n", + " [InitialEventRepresentation->TrackingToken, In...\n", + " [EventUtils->InitialEventRepresentation, Event...\n", " \n", " \n", " 14\n", @@ -475,8 +475,8 @@ " 0.317073\n", " 27\n", " 14\n", - " [JdbcEventStorageEngine->AppendSnapshotStateme...\n", - " [CleanGapsStatementBuilder->EventSchema, Creat...\n", + " [JdbcEventStorageEngine->AppendEventsStatement...\n", + " [LastSequenceNumberForStatementBuilder->EventS...\n", " \n", " \n", " 15\n", @@ -485,8 +485,8 @@ " 0.250000\n", " 20\n", " 12\n", - " [AggregateMemberAnnotatedChildEntityCollection...\n", - " [ForwardingMode->EntityModel, ForwardMatchingI...\n", + " [MethodCreationPolicyDefinition->CreationPolic...\n", + " [ForwardMatchingInstances->EntityModel, Forwar...\n", " \n", " \n", " 16\n", @@ -495,7 +495,7 @@ " 0.250000\n", " 5\n", " 3\n", - " [DuplicateQueryHandlerResolution->QuerySubscri...\n", + " [DuplicateQueryHandlerResolver->QuerySubscript...\n", " [SimpleQueryBus$Builder->DuplicateQueryHandler...\n", " \n", " \n", @@ -505,7 +505,7 @@ " 0.238095\n", " 13\n", " 8\n", - " [GenericResultMessage->Serializer, GenericResu...\n", + " [ResultMessage->SerializedObject, ResultMessag...\n", " [SerializedMessage->GenericMessage, Serialized...\n", " \n", " \n", @@ -516,7 +516,7 @@ " 8\n", " 5\n", " [TrackingEventProcessor->TokenStore, TrackingE...\n", - " [TokenStore->Segment, TokenStore->TrackingToke...\n", + " [TokenStore->Segment, GenericTokenEntry->Track...\n", " \n", " \n", " 19\n", @@ -526,7 +526,7 @@ " 3\n", " 2\n", " [MessageHandlerInterceptorDefinition->MessageH...\n", - " [ResultHandler->HasHandlerAttributes, MessageH...\n", + " [MessageHandlerInterceptor->MessageHandler, Re...\n", " \n", " \n", " 20\n", @@ -536,7 +536,7 @@ " 4\n", " 3\n", " [AnnotatedSagaManager$Builder->AnnotationSagaM...\n", - " [SagaModel->AssociationValue, AnnotationSagaMe...\n", + " [AnnotationSagaMetaModelFactory$InspectedSagaM...\n", " \n", " \n", " 21\n", @@ -545,8 +545,8 @@ " 0.076923\n", " 7\n", " 6\n", - " [OrCommandMessageFilter->CommandMessageFilter,...\n", - " [CommandMessageFilter->OrCommandMessageFilter,...\n", + " [AndCommandMessageFilter->CommandMessageFilter...\n", + " [CommandMessageFilter->AndCommandMessageFilter...\n", " \n", " \n", "\n", @@ -626,52 +626,52 @@ "21 0.076923 7 6 \n", "\n", " forwardDependencies \\\n", - "0 [QueryMessage->ResponseType, SimpleQueryUpdate... \n", - "1 [TrackingEventProcessor->Span, TrackingEventPr... \n", - "2 [SubscribingEventProcessor->SubscribableMessag... \n", - "3 [AllowReplay->HasHandlerAttributes, TimestampP... \n", + "0 [StreamingQueryMessage->ResponseType, DefaultQ... \n", + "1 [AbstractEventProcessor$Builder->SpanFactory, ... \n", + "2 [TrackingTokenParameterResolverFactory$Trackin... \n", + "3 [TrackingTokenParameterResolverFactory$Trackin... \n", "4 [SimpleQueryUpdateEmitter->Span, SimpleQueryUp... \n", - "5 [AbstractSnapshotter$Builder->EventStore, Aggr... \n", - "6 [SimpleDeadlineManager->Span, SimpleDeadlineMa... \n", - "7 [NoOpCallback->CommandMessage, NoOpCallback->C... \n", - "8 [SimpleCommandBus$Builder->SpanFactory, Simple... \n", - "9 [GenericEventMessage->CachingSupplier, Tracked... \n", - "10 [MessageProcessingContext->Message, BatchingUn... \n", + "5 [FilteringEventStorageEngine->DomainEventStrea... \n", + "6 [SimpleDeadlineManager$Builder->SpanFactory, S... \n", + "7 [FutureCallback->CommandCallback, FutureCallba... \n", + "8 [SimpleCommandBus->Span, SimpleCommandBus->Spa... \n", + "9 [AbstractSequencedDomainEventEntry->Serializer... \n", + "10 [DefaultUnitOfWork->GenericResultMessage, Defa... \n", "11 [PropertySequencingPolicy$Builder->EventMessag... \n", - "12 [ReplayParameterResolverFactory->ReplayStatus,... \n", - "13 [InitialEventRepresentation->DomainEventData, ... \n", - "14 [JdbcEventStorageEngine->AppendSnapshotStateme... \n", - "15 [AggregateMemberAnnotatedChildEntityCollection... \n", - "16 [DuplicateQueryHandlerResolution->QuerySubscri... \n", - "17 [GenericResultMessage->Serializer, GenericResu... \n", + "12 [ReplayAwareMessageHandlerWrapper->AllowReplay... \n", + "13 [InitialEventRepresentation->TrackingToken, In... \n", + "14 [JdbcEventStorageEngine->AppendEventsStatement... \n", + "15 [MethodCreationPolicyDefinition->CreationPolic... \n", + "16 [DuplicateQueryHandlerResolver->QuerySubscript... \n", + "17 [ResultMessage->SerializedObject, ResultMessag... \n", "18 [TrackingEventProcessor->TokenStore, TrackingE... \n", "19 [MessageHandlerInterceptorDefinition->MessageH... \n", "20 [AnnotatedSagaManager$Builder->AnnotationSagaM... \n", - "21 [OrCommandMessageFilter->CommandMessageFilter,... \n", + "21 [AndCommandMessageFilter->CommandMessageFilter... \n", "\n", " backwardDependencies \n", "0 [ConvertingResponseMessage->QueryResponseMessage] \n", "1 [NestingSpanFactory->EventMessage] \n", - "2 [Headers->EventMessage, Headers->DomainEventMe... \n", + "2 [Headers->DomainEventMessage, Headers->EventMe... \n", "3 [SourceIdParameterResolverFactory$SourceIdPara... \n", "4 [SpanUtils->QueryMessage] \n", "5 [DomainEventStream->EventStreamUtils, Abstract... \n", "6 [SpanUtils->DeadlineMessage] \n", - "7 [SimpleCommandBus$Builder->NoOpCallback, Simpl... \n", + "7 [SimpleCommandBus$Builder->LoggingCallback, Si... \n", "8 [SpanUtils->CommandMessage] \n", - "9 [AbstractXStreamSerializer->GenericEventMessag... \n", + "9 [GapAwareTrackingTokenConverter->GapAwareTrack... \n", "10 [GenericMessage->CurrentUnitOfWork, MessageHan... \n", - "11 [SimpleEventHandlerInvoker$Builder->Sequential... \n", - "12 [ResetHandler->ResetContext, AnnotationEventHa... \n", - "13 [EventUtils->EventUpcaster, EventUtils->Initia... \n", - "14 [CleanGapsStatementBuilder->EventSchema, Creat... \n", - "15 [ForwardingMode->EntityModel, ForwardMatchingI... \n", + "11 [SimpleEventHandlerInvoker->SequencingPolicy, ... \n", + "12 [AnnotationEventHandlerAdapter->GenericResetCo... \n", + "13 [EventUtils->InitialEventRepresentation, Event... \n", + "14 [LastSequenceNumberForStatementBuilder->EventS... \n", + "15 [ForwardMatchingInstances->EntityModel, Forwar... \n", "16 [SimpleQueryBus$Builder->DuplicateQueryHandler... \n", "17 [SerializedMessage->GenericMessage, Serialized... \n", - "18 [TokenStore->Segment, TokenStore->TrackingToke... \n", - "19 [ResultHandler->HasHandlerAttributes, MessageH... \n", - "20 [SagaModel->AssociationValue, AnnotationSagaMe... \n", - "21 [CommandMessageFilter->OrCommandMessageFilter,... " + "18 [TokenStore->Segment, GenericTokenEntry->Track... \n", + "19 [MessageHandlerInterceptor->MessageHandler, Re... \n", + "20 [AnnotationSagaMetaModelFactory$InspectedSagaM... \n", + "21 [CommandMessageFilter->AndCommandMessageFilter... " ] }, "execution_count": 8, @@ -690,7 +690,7 @@ "metadata": {}, "source": [ "### Table 3\n", - "- List packages with cyclic dependencies with every dependency in a separate row sorted by the easiest and most valuable to resolve" + "- List packages with cyclic dependencies with every dependency in a separate row sorted by the easiest and most valuable resolvable dependency first" ] }, { @@ -699,10 +699,10 @@ "id": "cf49a164", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:11.638138Z", - "iopub.status.busy": "2023-06-28T21:13:11.637781Z", - "iopub.status.idle": "2023-06-28T21:13:12.194460Z", - "shell.execute_reply": "2023-06-28T21:13:12.193931Z" + "iopub.execute_input": "2023-08-02T12:48:18.012519Z", + "iopub.status.busy": "2023-08-02T12:48:18.012419Z", + "iopub.status.idle": "2023-08-02T12:48:18.076630Z", + "shell.execute_reply": "2023-08-02T12:48:18.076312Z" } }, "outputs": [ @@ -749,7 +749,7 @@ " 1\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " QueryMessage->ResponseType\n", + " StreamingQueryMessage->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -758,7 +758,7 @@ " 2\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " SimpleQueryUpdateEmitter->OptionalResponseType\n", + " DefaultQueryGateway->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -767,7 +767,7 @@ " 3\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " SimpleQueryUpdateEmitter->MultipleInstancesRes...\n", + " GenericStreamingQueryMessage->PublisherRespons...\n", " 0.882353\n", " 16\n", " 1\n", @@ -776,7 +776,7 @@ " 4\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " SimpleQueryUpdateEmitter->PublisherResponseType\n", + " GenericStreamingQueryMessage->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -785,7 +785,7 @@ " 5\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " SimpleQueryUpdateEmitter->ResponseType\n", + " SubscriptionQueryMessage->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -794,7 +794,7 @@ " 6\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " GenericSubscriptionQueryMessage->ResponseType\n", + " GenericQueryMessage->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -803,7 +803,7 @@ " 7\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " GenericStreamingQueryMessage->PublisherRespons...\n", + " GenericSubscriptionQueryMessage->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -812,7 +812,7 @@ " 8\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " GenericStreamingQueryMessage->ResponseType\n", + " SimpleQueryUpdateEmitter->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -821,7 +821,7 @@ " 9\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " GenericQueryMessage->ResponseType\n", + " SimpleQueryUpdateEmitter->MultipleInstancesRes...\n", " 0.882353\n", " 16\n", " 1\n", @@ -830,7 +830,7 @@ " 10\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " StreamingQueryMessage->ResponseType\n", + " SimpleQueryUpdateEmitter->OptionalResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -839,7 +839,7 @@ " 11\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " DefaultQueryGateway->ResponseType\n", + " SimpleQueryUpdateEmitter->PublisherResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -848,7 +848,7 @@ " 12\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " SubscriptionQueryMessage->ResponseType\n", + " SimpleQueryBus->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -857,7 +857,7 @@ " 13\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " QueryGateway->ResponseTypes\n", + " QueryMessage->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -866,7 +866,7 @@ " 14\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " QueryGateway->ResponseType\n", + " QuerySubscription->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -875,7 +875,7 @@ " 15\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " SimpleQueryBus->ResponseType\n", + " QueryGateway->ResponseTypes\n", " 0.882353\n", " 16\n", " 1\n", @@ -884,7 +884,7 @@ " 16\n", " org.axonframework.queryhandling\n", " org.axonframework.messaging.responsetypes\n", - " QuerySubscription->ResponseType\n", + " QueryGateway->ResponseType\n", " 0.882353\n", " 16\n", " 1\n", @@ -902,7 +902,7 @@ " 18\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " TrackingEventProcessor->Span\n", + " AbstractEventProcessor$Builder->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -911,7 +911,7 @@ " 19\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " TrackingEventProcessor->SpanFactory\n", + " AbstractEventProcessor$Builder->NoOpSpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -920,7 +920,7 @@ " 20\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventProcessor$Builder->NoOpSpanFactory\n", + " TrackingEventProcessor->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -929,7 +929,7 @@ " 21\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventProcessor$Builder->SpanFactory\n", + " TrackingEventProcessor->Span\n", " 0.857143\n", " 13\n", " 1\n", @@ -938,7 +938,7 @@ " 22\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " SubscribingEventProcessor$Builder->SpanFactory\n", + " AbstractEventBus$Builder->NoOpSpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -947,7 +947,7 @@ " 23\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventProcessor->Span\n", + " AbstractEventBus$Builder->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -956,7 +956,7 @@ " 24\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventProcessor->SpanFactory\n", + " TrackingEventProcessor$Builder->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -965,7 +965,7 @@ " 25\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " SimpleEventBus$Builder->SpanFactory\n", + " SubscribingEventProcessor$Builder->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -974,7 +974,7 @@ " 26\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " TrackingEventProcessor$Builder->SpanFactory\n", + " AbstractEventProcessor->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -983,7 +983,7 @@ " 27\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventBus$Builder->NoOpSpanFactory\n", + " AbstractEventProcessor->Span\n", " 0.857143\n", " 13\n", " 1\n", @@ -992,7 +992,7 @@ " 28\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventBus$Builder->SpanFactory\n", + " AbstractEventBus->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -1010,7 +1010,7 @@ " 30\n", " org.axonframework.eventhandling\n", " org.axonframework.tracing\n", - " AbstractEventBus->SpanFactory\n", + " SimpleEventBus$Builder->SpanFactory\n", " 0.857143\n", " 13\n", " 1\n", @@ -1019,7 +1019,7 @@ " 31\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " EventMessage<-Headers\n", + " DomainEventMessage<-Headers\n", " 0.853659\n", " 38\n", " 3\n", @@ -1028,7 +1028,7 @@ " 32\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " DomainEventMessage<-Headers\n", + " EventMessage<-Headers\n", " 0.853659\n", " 38\n", " 3\n", @@ -1046,7 +1046,7 @@ " 34\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " SubscribingEventProcessor->SubscribableMessage...\n", + " TrackingTokenParameterResolverFactory$Tracking...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1055,7 +1055,7 @@ " 35\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " EventMessage->Message\n", + " MultiStreamableMessageSource$IdentifiedStreama...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1064,7 +1064,7 @@ " 36\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericEventMessage->MetaData\n", + " ConcludesBatchParameterResolverFactory->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1073,7 +1073,7 @@ " 37\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericEventMessage->MessageDecorator\n", + " SubscribingEventProcessor->SubscribableMessage...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1082,7 +1082,7 @@ " 38\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericEventMessage->GenericMessage\n", + " MultiStreamableMessageSource->StreamableMessag...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1091,7 +1091,7 @@ " 39\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericEventMessage->Message\n", + " TrackingEventProcessor->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1118,7 +1118,7 @@ " 42\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " TrackingEventProcessor->Message\n", + " GenericDomainEventMessage->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1127,7 +1127,7 @@ " 43\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericTrackedDomainEventMessage->Message\n", + " GenericDomainEventMessage->GenericMessage\n", " 0.853659\n", " 38\n", " 3\n", @@ -1136,7 +1136,7 @@ " 44\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " SequenceNumberParameterResolverFactory$Sequenc...\n", + " GenericDomainEventMessage->MetaData\n", " 0.853659\n", " 38\n", " 3\n", @@ -1145,7 +1145,7 @@ " 45\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " MultiStreamableMessageSource->StreamableMessag...\n", + " ReplayToken->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1154,7 +1154,7 @@ " 46\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " SubscribingEventProcessor$Builder->Subscribabl...\n", + " EventMessageHandler->MessageHandler\n", " 0.853659\n", " 38\n", " 3\n", @@ -1163,7 +1163,7 @@ " 47\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericDomainEventMessage->MetaData\n", + " EventMessageHandler->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1172,7 +1172,7 @@ " 48\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericDomainEventMessage->GenericMessage\n", + " SequenceNumberParameterResolverFactory$Sequenc...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1181,7 +1181,7 @@ " 49\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " GenericDomainEventMessage->Message\n", + " GenericTrackedDomainEventMessage->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1190,7 +1190,7 @@ " 50\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " ConcludesBatchParameterResolverFactory->Message\n", + " DomainEventMessage->Message\n", " 0.853659\n", " 38\n", " 3\n", @@ -1199,7 +1199,7 @@ " 51\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " DomainEventMessage->Message\n", + " TrackingEventProcessor$Builder->StreamableMess...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1208,7 +1208,7 @@ " 52\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " MultiStreamableMessageSource$Builder->Streamab...\n", + " SubscribingEventProcessor$Builder->Subscribabl...\n", " 0.853659\n", " 38\n", " 3\n", @@ -1226,7 +1226,7 @@ " 54\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " AnnotationEventHandlerAdapter->Message\n", + " AbstractEventProcessor->DefaultInterceptorChain\n", " 0.853659\n", " 38\n", " 3\n", @@ -1235,7 +1235,7 @@ " 55\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " AbstractEventProcessor->DefaultInterceptorChain\n", + " AbstractEventProcessor->ResultMessage\n", " 0.853659\n", " 38\n", " 3\n", @@ -1244,7 +1244,7 @@ " 56\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " AbstractEventProcessor->ResultMessage\n", + " AbstractEventProcessor->MessageHandlerInterceptor\n", " 0.853659\n", " 38\n", " 3\n", @@ -1253,7 +1253,7 @@ " 57\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " AbstractEventProcessor->MessageHandlerInterceptor\n", + " GenericEventMessage->GenericMessage\n", " 0.853659\n", " 38\n", " 3\n", @@ -1262,7 +1262,7 @@ " 58\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " EventBus->SubscribableMessageSource\n", + " GenericEventMessage->MessageDecorator\n", " 0.853659\n", " 38\n", " 3\n", @@ -1271,7 +1271,7 @@ " 59\n", " org.axonframework.eventhandling\n", " org.axonframework.messaging\n", - " EventBus->MessageDispatchInterceptorSupport\n", + " GenericEventMessage->MetaData\n", " 0.853659\n", " 38\n", " 3\n", @@ -1407,65 +1407,65 @@ "\n", " dependency \\\n", "0 QueryResponseMessage<-ConvertingResponseMessage \n", - "1 QueryMessage->ResponseType \n", - "2 SimpleQueryUpdateEmitter->OptionalResponseType \n", - "3 SimpleQueryUpdateEmitter->MultipleInstancesRes... \n", - "4 SimpleQueryUpdateEmitter->PublisherResponseType \n", - "5 SimpleQueryUpdateEmitter->ResponseType \n", - "6 GenericSubscriptionQueryMessage->ResponseType \n", - "7 GenericStreamingQueryMessage->PublisherRespons... \n", - "8 GenericStreamingQueryMessage->ResponseType \n", - "9 GenericQueryMessage->ResponseType \n", - "10 StreamingQueryMessage->ResponseType \n", - "11 DefaultQueryGateway->ResponseType \n", - "12 SubscriptionQueryMessage->ResponseType \n", - "13 QueryGateway->ResponseTypes \n", - "14 QueryGateway->ResponseType \n", - "15 SimpleQueryBus->ResponseType \n", - "16 QuerySubscription->ResponseType \n", + "1 StreamingQueryMessage->ResponseType \n", + "2 DefaultQueryGateway->ResponseType \n", + "3 GenericStreamingQueryMessage->PublisherRespons... \n", + "4 GenericStreamingQueryMessage->ResponseType \n", + "5 SubscriptionQueryMessage->ResponseType \n", + "6 GenericQueryMessage->ResponseType \n", + "7 GenericSubscriptionQueryMessage->ResponseType \n", + "8 SimpleQueryUpdateEmitter->ResponseType \n", + "9 SimpleQueryUpdateEmitter->MultipleInstancesRes... \n", + "10 SimpleQueryUpdateEmitter->OptionalResponseType \n", + "11 SimpleQueryUpdateEmitter->PublisherResponseType \n", + "12 SimpleQueryBus->ResponseType \n", + "13 QueryMessage->ResponseType \n", + "14 QuerySubscription->ResponseType \n", + "15 QueryGateway->ResponseTypes \n", + "16 QueryGateway->ResponseType \n", "17 EventMessage<-NestingSpanFactory \n", - "18 TrackingEventProcessor->Span \n", - "19 TrackingEventProcessor->SpanFactory \n", - "20 AbstractEventProcessor$Builder->NoOpSpanFactory \n", - "21 AbstractEventProcessor$Builder->SpanFactory \n", - "22 SubscribingEventProcessor$Builder->SpanFactory \n", - "23 AbstractEventProcessor->Span \n", - "24 AbstractEventProcessor->SpanFactory \n", - "25 SimpleEventBus$Builder->SpanFactory \n", - "26 TrackingEventProcessor$Builder->SpanFactory \n", - "27 AbstractEventBus$Builder->NoOpSpanFactory \n", - "28 AbstractEventBus$Builder->SpanFactory \n", + "18 AbstractEventProcessor$Builder->SpanFactory \n", + "19 AbstractEventProcessor$Builder->NoOpSpanFactory \n", + "20 TrackingEventProcessor->SpanFactory \n", + "21 TrackingEventProcessor->Span \n", + "22 AbstractEventBus$Builder->NoOpSpanFactory \n", + "23 AbstractEventBus$Builder->SpanFactory \n", + "24 TrackingEventProcessor$Builder->SpanFactory \n", + "25 SubscribingEventProcessor$Builder->SpanFactory \n", + "26 AbstractEventProcessor->SpanFactory \n", + "27 AbstractEventProcessor->Span \n", + "28 AbstractEventBus->SpanFactory \n", "29 AbstractEventBus->Span \n", - "30 AbstractEventBus->SpanFactory \n", - "31 EventMessage<-Headers \n", - "32 DomainEventMessage<-Headers \n", + "30 SimpleEventBus$Builder->SpanFactory \n", + "31 DomainEventMessage<-Headers \n", + "32 EventMessage<-Headers \n", "33 TrackingToken<-StreamableMessageSource \n", - "34 SubscribingEventProcessor->SubscribableMessage... \n", - "35 EventMessage->Message \n", - "36 GenericEventMessage->MetaData \n", - "37 GenericEventMessage->MessageDecorator \n", - "38 GenericEventMessage->GenericMessage \n", - "39 GenericEventMessage->Message \n", + "34 TrackingTokenParameterResolverFactory$Tracking... \n", + "35 MultiStreamableMessageSource$IdentifiedStreama... \n", + "36 ConcludesBatchParameterResolverFactory->Message \n", + "37 SubscribingEventProcessor->SubscribableMessage... \n", + "38 MultiStreamableMessageSource->StreamableMessag... \n", + "39 TrackingEventProcessor->Message \n", "40 TrackingEventProcessor->StreamableMessageSource \n", "41 TrackingEventProcessor->InterceptorChain \n", - "42 TrackingEventProcessor->Message \n", - "43 GenericTrackedDomainEventMessage->Message \n", - "44 SequenceNumberParameterResolverFactory$Sequenc... \n", - "45 MultiStreamableMessageSource->StreamableMessag... \n", - "46 SubscribingEventProcessor$Builder->Subscribabl... \n", - "47 GenericDomainEventMessage->MetaData \n", - "48 GenericDomainEventMessage->GenericMessage \n", - "49 GenericDomainEventMessage->Message \n", - "50 ConcludesBatchParameterResolverFactory->Message \n", - "51 DomainEventMessage->Message \n", - "52 MultiStreamableMessageSource$Builder->Streamab... \n", + "42 GenericDomainEventMessage->Message \n", + "43 GenericDomainEventMessage->GenericMessage \n", + "44 GenericDomainEventMessage->MetaData \n", + "45 ReplayToken->Message \n", + "46 EventMessageHandler->MessageHandler \n", + "47 EventMessageHandler->Message \n", + "48 SequenceNumberParameterResolverFactory$Sequenc... \n", + "49 GenericTrackedDomainEventMessage->Message \n", + "50 DomainEventMessage->Message \n", + "51 TrackingEventProcessor$Builder->StreamableMess... \n", + "52 SubscribingEventProcessor$Builder->Subscribabl... \n", "53 StreamingEventProcessor->StreamableMessageSource \n", - "54 AnnotationEventHandlerAdapter->Message \n", - "55 AbstractEventProcessor->DefaultInterceptorChain \n", - "56 AbstractEventProcessor->ResultMessage \n", - "57 AbstractEventProcessor->MessageHandlerInterceptor \n", - "58 EventBus->SubscribableMessageSource \n", - "59 EventBus->MessageDispatchInterceptorSupport \n", + "54 AbstractEventProcessor->DefaultInterceptorChain \n", + "55 AbstractEventProcessor->ResultMessage \n", + "56 AbstractEventProcessor->MessageHandlerInterceptor \n", + "57 GenericEventMessage->GenericMessage \n", + "58 GenericEventMessage->MessageDecorator \n", + "59 GenericEventMessage->MetaData \n", "\n", " forwardToBackwardBalance numberForward numberBackward \n", "0 0.882353 16 1 \n", @@ -1565,7 +1565,7 @@ "\n", "If there are a couple of methods that are used for a distinct purpose, those could be factored out into a separate interface. The original type can extended/implement the new interface so that there are no breaking changes. Then all the callers, that use only this group of methods, can be changed to the new interface.\n", "\n", - "### Table 3\n", + "### Table 4\n", "- List top 20 most used combinations of methods of larger Types that might benefit from *Interface Segregation*" ] }, @@ -1575,10 +1575,10 @@ "id": "63fb6ba9", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:12.199079Z", - "iopub.status.busy": "2023-06-28T21:13:12.198027Z", - "iopub.status.idle": "2023-06-28T21:13:20.247724Z", - "shell.execute_reply": "2023-06-28T21:13:20.247120Z" + "iopub.execute_input": "2023-08-02T12:48:18.078226Z", + "iopub.status.busy": "2023-08-02T12:48:18.078121Z", + "iopub.status.idle": "2023-08-02T12:48:18.287878Z", + "shell.execute_reply": "2023-08-02T12:48:18.287624Z" }, "scrolled": false }, @@ -1604,7 +1604,7 @@ " \n", " \n", " \n", - " dependentType.fqn\n", + " fullDependentTypeName\n", " declaredMethods\n", " calledMethodNames\n", " calledMethods\n", @@ -1632,7 +1632,7 @@ " 2\n", " org.axonframework.eventhandling.EventMessage\n", " 9\n", - " [getIdentifier, getTimestamp]\n", + " [getTimestamp, getIdentifier]\n", " 2\n", " 8\n", " \n", @@ -1656,7 +1656,7 @@ " 5\n", " org.axonframework.eventhandling.DomainEventMes...\n", " 10\n", - " [getType, getAggregateIdentifier, getSequenceN...\n", + " [getAggregateIdentifier, getType, getSequenceN...\n", " 3\n", " 5\n", " \n", @@ -1712,7 +1712,7 @@ " 12\n", " org.axonframework.eventhandling.DomainEventMes...\n", " 10\n", - " [getType]\n", + " [getAggregateIdentifier]\n", " 1\n", " 4\n", " \n", @@ -1720,7 +1720,7 @@ " 13\n", " org.axonframework.eventhandling.DomainEventMes...\n", " 10\n", - " [getAggregateIdentifier]\n", + " [getType]\n", " 1\n", " 4\n", " \n", @@ -1752,7 +1752,7 @@ " 17\n", " org.axonframework.eventhandling.DomainEventMes...\n", " 11\n", - " [getType, getAggregateIdentifier, getSequenceN...\n", + " [getAggregateIdentifier, getType, getSequenceN...\n", " 3\n", " 3\n", " \n", @@ -1768,7 +1768,7 @@ " 19\n", " org.axonframework.eventhandling.GapAwareTracki...\n", " 10\n", - " [getGaps, withGapsTruncatedAt, advanceTo, getI...\n", + " [getGaps, withGapsTruncatedAt, getIndex, newIn...\n", " 5\n", " 3\n", " \n", @@ -1777,7 +1777,7 @@ "" ], "text/plain": [ - " dependentType.fqn declaredMethods \\\n", + " fullDependentTypeName declaredMethods \\\n", "0 org.axonframework.commandhandling.CommandMessage 9 \n", "1 org.axonframework.eventhandling.DomainEventMes... 10 \n", "2 org.axonframework.eventhandling.EventMessage 9 \n", @@ -1802,24 +1802,24 @@ " calledMethodNames calledMethods \\\n", "0 [getCommandName] 1 \n", "1 [getSequenceNumber] 1 \n", - "2 [getIdentifier, getTimestamp] 2 \n", + "2 [getTimestamp, getIdentifier] 2 \n", "3 [getIdentifier] 1 \n", "4 [trackingToken] 1 \n", - "5 [getType, getAggregateIdentifier, getSequenceN... 3 \n", + "5 [getAggregateIdentifier, getType, getSequenceN... 3 \n", "6 [exceptionResult, isExceptional] 2 \n", "7 [asCommandResultMessage] 1 \n", "8 [asCommandResultMessage] 1 \n", "9 [trackingToken] 1 \n", "10 [asDeadlineMessage] 1 \n", "11 [getDeadlineName] 1 \n", - "12 [getType] 1 \n", - "13 [getAggregateIdentifier] 1 \n", + "12 [getAggregateIdentifier] 1 \n", + "13 [getType] 1 \n", "14 [asEventMessage] 1 \n", "15 [instance] 1 \n", "16 [type] 1 \n", - "17 [getType, getAggregateIdentifier, getSequenceN... 3 \n", + "17 [getAggregateIdentifier, getType, getSequenceN... 3 \n", "18 [getAggregateIdentifier, getSequenceNumber] 2 \n", - "19 [getGaps, withGapsTruncatedAt, advanceTo, getI... 5 \n", + "19 [getGaps, withGapsTruncatedAt, getIndex, newIn... 5 \n", "\n", " callerTypes \n", "0 18 \n", @@ -1870,7 +1870,7 @@ "source": [ "### Types that are used by multiple packages\n", "\n", - "#### Table 4\n", + "#### Table 5\n", "- List the top 20 packages that are used by the highest count of different packages " ] }, @@ -1880,10 +1880,10 @@ "id": "36a34924", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:20.251127Z", - "iopub.status.busy": "2023-06-28T21:13:20.250703Z", - "iopub.status.idle": "2023-06-28T21:13:20.329908Z", - "shell.execute_reply": "2023-06-28T21:13:20.329099Z" + "iopub.execute_input": "2023-08-02T12:48:18.289415Z", + "iopub.status.busy": "2023-08-02T12:48:18.289339Z", + "iopub.status.idle": "2023-08-02T12:48:18.320033Z", + "shell.execute_reply": "2023-08-02T12:48:18.319780Z" }, "scrolled": false }, @@ -2051,8 +2051,8 @@ " \n", " \n", " 19\n", - " org.axonframework.messaging.MessageHandlerInte...\n", - " MessageHandlerInterceptor\n", + " org.axonframework.messaging.MessageDispatchInt...\n", + " MessageDispatchInterceptor\n", " [Type, File, Java, ByteCode, GenericDeclaratio...\n", " 15\n", " \n", @@ -2081,7 +2081,7 @@ "16 org.axonframework.common.Registration \n", "17 org.axonframework.eventhandling.GenericEventMe... \n", "18 org.axonframework.common.ObjectUtils \n", - "19 org.axonframework.messaging.MessageHandlerInte... \n", + "19 org.axonframework.messaging.MessageDispatchInt... \n", "\n", " dependentType.name \\\n", "0 BuilderUtils \n", @@ -2103,7 +2103,7 @@ "16 Registration \n", "17 GenericEventMessage \n", "18 ObjectUtils \n", - "19 MessageHandlerInterceptor \n", + "19 MessageDispatchInterceptor \n", "\n", " dependentTypeLabels numberOfUsingPackages \n", "0 [Type, File, Java, ByteCode, Class] 41 \n", @@ -2145,7 +2145,7 @@ "source": [ "### Packages that are used by multiple artifacts\n", "\n", - "#### Table 5\n", + "#### Table 6\n", "- List the top 20 artifacts that only use a few (compared to all existing) packages of another artifact" ] }, @@ -2155,10 +2155,10 @@ "id": "bf3d43c5", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:20.334560Z", - "iopub.status.busy": "2023-06-28T21:13:20.332940Z", - "iopub.status.idle": "2023-06-28T21:13:20.935806Z", - "shell.execute_reply": "2023-06-28T21:13:20.935199Z" + "iopub.execute_input": "2023-08-02T12:48:18.321569Z", + "iopub.status.busy": "2023-08-02T12:48:18.321484Z", + "iopub.status.idle": "2023-08-02T12:48:18.583818Z", + "shell.execute_reply": "2023-08-02T12:48:18.583573Z" }, "scrolled": true }, @@ -2201,8 +2201,8 @@ " 9\n", " 61\n", " 0.147541\n", - " [org.axonframework.monitoring, org.axonframewo...\n", - " [monitoring, commandhandling, caching, unitofw...\n", + " [org.axonframework.commandhandling, org.axonfr...\n", + " [commandhandling, transaction, callbacks, comm...\n", " \n", " \n", " 1\n", @@ -2211,12 +2211,12 @@ " 10\n", " 61\n", " 0.163934\n", - " [org.axonframework.eventhandling.scheduling, o...\n", - " [scheduling, eventhandling, common, annotation...\n", + " [org.axonframework.messaging, org.axonframewor...\n", + " [messaging, deadline, unitofwork, common, gate...\n", " \n", " \n", " 2\n", - " axon-eventsourcing-4.7.5\n", + " axon-disruptor-4.7.5\n", " axon-modelling-4.7.5\n", " 2\n", " 10\n", @@ -2226,7 +2226,7 @@ " \n", " \n", " 3\n", - " axon-disruptor-4.7.5\n", + " axon-eventsourcing-4.7.5\n", " axon-modelling-4.7.5\n", " 2\n", " 10\n", @@ -2241,8 +2241,8 @@ " 2\n", " 9\n", " 0.222222\n", - " [org.axonframework.eventsourcing, org.axonfram...\n", - " [eventsourcing, eventstore]\n", + " [org.axonframework.eventsourcing.eventstore, o...\n", + " [eventstore, eventsourcing]\n", " \n", " \n", " 5\n", @@ -2251,8 +2251,8 @@ " 2\n", " 9\n", " 0.222222\n", - " [org.axonframework.eventsourcing.eventstore, o...\n", - " [eventstore, eventsourcing]\n", + " [org.axonframework.eventsourcing, org.axonfram...\n", + " [eventsourcing, eventstore]\n", " \n", " \n", " 6\n", @@ -2261,8 +2261,8 @@ " 18\n", " 61\n", " 0.295082\n", - " [org.axonframework.messaging.annotation, org.a...\n", - " [annotation, legacyjpa, common, tracing, event...\n", + " [org.axonframework.eventhandling, org.axonfram...\n", + " [eventhandling, annotation, unitofwork, lock, ...\n", " \n", " \n", " 7\n", @@ -2271,8 +2271,8 @@ " 20\n", " 61\n", " 0.327869\n", - " [org.axonframework.messaging.annotation, org.a...\n", - " [annotation, common, messaging, eventhandling,...\n", + " [org.axonframework.common, org.axonframework.e...\n", + " [common, eventhandling, messaging, lock, event...\n", " \n", " \n", " 8\n", @@ -2281,8 +2281,8 @@ " 4\n", " 9\n", " 0.444444\n", - " [org.axonframework.eventsourcing.eventstore.jp...\n", - " [jpa, eventstore, eventsourcing, snapshotting]\n", + " [org.axonframework.eventsourcing, org.axonfram...\n", + " [eventsourcing, snapshotting, jpa, eventstore]\n", " \n", " \n", " 9\n", @@ -2292,7 +2292,7 @@ " 10\n", " 0.500000\n", " [org.axonframework.modelling.saga, org.axonfra...\n", - " [saga, repository, inmemory, inspection, command]\n", + " [saga, inmemory, repository, command, inspection]\n", " \n", " \n", " 10\n", @@ -2301,8 +2301,8 @@ " 34\n", " 61\n", " 0.557377\n", - " [org.axonframework.eventhandling.tokenstore, o...\n", - " [tokenstore, lock, caching, gateway, deadlette...\n", + " [org.axonframework.eventhandling.tokenstore.in...\n", + " [inmemory, transaction, jpa, gateway, tracing,...\n", " \n", " \n", " 11\n", @@ -2311,8 +2311,8 @@ " 6\n", " 10\n", " 0.600000\n", - " [org.axonframework.modelling.command.inspectio...\n", - " [inspection, command, repository, saga, jpa, m...\n", + " [org.axonframework.modelling.saga, org.axonfra...\n", + " [saga, inspection, command, metamodel, jpa, re...\n", " \n", " \n", " 12\n", @@ -2321,8 +2321,8 @@ " 6\n", " 10\n", " 0.600000\n", - " [org.axonframework.modelling.saga.repository, ...\n", - " [repository, jpa, saga, inspection, inmemory, ...\n", + " [org.axonframework.modelling.saga, org.axonfra...\n", + " [saga, inspection, command, jpa, repository, i...\n", " \n", " \n", " 13\n", @@ -2331,8 +2331,8 @@ " 5\n", " 8\n", " 0.625000\n", - " [org.axonframework.test, org.axonframework.tes...\n", - " [test, utils, matchers, deadline, eventscheduler]\n", + " [org.axonframework.test.matchers, org.axonfram...\n", + " [matchers, test, eventscheduler, utils, deadline]\n", " \n", " \n", " 14\n", @@ -2341,8 +2341,8 @@ " 40\n", " 61\n", " 0.655738\n", - " [org.axonframework.messaging.annotation, org.a...\n", - " [annotation, messaging, common, unitofwork, re...\n", + " [org.axonframework.eventhandling, org.axonfram...\n", + " [eventhandling, messaging, unitofwork, command...\n", " \n", " \n", " 15\n", @@ -2351,8 +2351,8 @@ " 7\n", " 9\n", " 0.777778\n", - " [org.axonframework.eventsourcing.eventstore, o...\n", - " [eventstore, snapshotting, jpa, conflictresolu...\n", + " [org.axonframework.eventsourcing.conflictresol...\n", + " [conflictresolution, eventstore, snapshotting,...\n", " \n", " \n", " 16\n", @@ -2372,8 +2372,8 @@ " artifactName dependentArtifactName dependentPackages \\\n", "0 axon-disruptor-4.7.5 axon-messaging-4.7.5 9 \n", "1 axon-test-4.7.5 axon-messaging-4.7.5 10 \n", - "2 axon-eventsourcing-4.7.5 axon-modelling-4.7.5 2 \n", - "3 axon-disruptor-4.7.5 axon-modelling-4.7.5 2 \n", + "2 axon-disruptor-4.7.5 axon-modelling-4.7.5 2 \n", + "3 axon-eventsourcing-4.7.5 axon-modelling-4.7.5 2 \n", "4 axon-disruptor-4.7.5 axon-eventsourcing-4.7.5 2 \n", "5 axon-test-4.7.5 axon-eventsourcing-4.7.5 2 \n", "6 axon-modelling-4.7.5 axon-messaging-4.7.5 18 \n", @@ -2408,41 +2408,41 @@ "16 1 1.000000 \n", "\n", " dependentFullQualifiedPackageNames \\\n", - "0 [org.axonframework.monitoring, org.axonframewo... \n", - "1 [org.axonframework.eventhandling.scheduling, o... \n", + "0 [org.axonframework.commandhandling, org.axonfr... \n", + "1 [org.axonframework.messaging, org.axonframewor... \n", "2 [org.axonframework.modelling.command, org.axon... \n", "3 [org.axonframework.modelling.command, org.axon... \n", - "4 [org.axonframework.eventsourcing, org.axonfram... \n", - "5 [org.axonframework.eventsourcing.eventstore, o... \n", - "6 [org.axonframework.messaging.annotation, org.a... \n", - "7 [org.axonframework.messaging.annotation, org.a... \n", - "8 [org.axonframework.eventsourcing.eventstore.jp... \n", + "4 [org.axonframework.eventsourcing.eventstore, o... \n", + "5 [org.axonframework.eventsourcing, org.axonfram... \n", + "6 [org.axonframework.eventhandling, org.axonfram... \n", + "7 [org.axonframework.common, org.axonframework.e... \n", + "8 [org.axonframework.eventsourcing, org.axonfram... \n", "9 [org.axonframework.modelling.saga, org.axonfra... \n", - "10 [org.axonframework.eventhandling.tokenstore, o... \n", - "11 [org.axonframework.modelling.command.inspectio... \n", - "12 [org.axonframework.modelling.saga.repository, ... \n", - "13 [org.axonframework.test, org.axonframework.tes... \n", - "14 [org.axonframework.messaging.annotation, org.a... \n", - "15 [org.axonframework.eventsourcing.eventstore, o... \n", + "10 [org.axonframework.eventhandling.tokenstore.in... \n", + "11 [org.axonframework.modelling.saga, org.axonfra... \n", + "12 [org.axonframework.modelling.saga, org.axonfra... \n", + "13 [org.axonframework.test.matchers, org.axonfram... \n", + "14 [org.axonframework.eventhandling, org.axonfram... \n", + "15 [org.axonframework.eventsourcing.conflictresol... \n", "16 [org.axonframework.disruptor.commandhandling] \n", "\n", " dependentPackageNames \n", - "0 [monitoring, commandhandling, caching, unitofw... \n", - "1 [scheduling, eventhandling, common, annotation... \n", + "0 [commandhandling, transaction, callbacks, comm... \n", + "1 [messaging, deadline, unitofwork, common, gate... \n", "2 [command, inspection] \n", "3 [command, inspection] \n", - "4 [eventsourcing, eventstore] \n", - "5 [eventstore, eventsourcing] \n", - "6 [annotation, legacyjpa, common, tracing, event... \n", - "7 [annotation, common, messaging, eventhandling,... \n", - "8 [jpa, eventstore, eventsourcing, snapshotting] \n", - "9 [saga, repository, inmemory, inspection, command] \n", - "10 [tokenstore, lock, caching, gateway, deadlette... \n", - "11 [inspection, command, repository, saga, jpa, m... \n", - "12 [repository, jpa, saga, inspection, inmemory, ... \n", - "13 [test, utils, matchers, deadline, eventscheduler] \n", - "14 [annotation, messaging, common, unitofwork, re... \n", - "15 [eventstore, snapshotting, jpa, conflictresolu... \n", + "4 [eventstore, eventsourcing] \n", + "5 [eventsourcing, eventstore] \n", + "6 [eventhandling, annotation, unitofwork, lock, ... \n", + "7 [common, eventhandling, messaging, lock, event... \n", + "8 [eventsourcing, snapshotting, jpa, eventstore] \n", + "9 [saga, inmemory, repository, command, inspection] \n", + "10 [inmemory, transaction, jpa, gateway, tracing,... \n", + "11 [saga, inspection, command, metamodel, jpa, re... \n", + "12 [saga, inspection, command, jpa, repository, i... \n", + "13 [matchers, test, eventscheduler, utils, deadline] \n", + "14 [eventhandling, messaging, unitofwork, command... \n", + "15 [conflictresolution, eventstore, snapshotting,... \n", "16 [commandhandling] " ] }, @@ -2463,7 +2463,7 @@ "source": [ "### Packages that are used by multiple artifacts\n", "\n", - "#### Table 6\n", + "#### Table 7\n", "- List the top 20 packages that only use a few (compared to all existing) types of another package " ] }, @@ -2473,10 +2473,10 @@ "id": "74f2a5c8", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:20.941654Z", - "iopub.status.busy": "2023-06-28T21:13:20.940226Z", - "iopub.status.idle": "2023-06-28T21:13:21.155882Z", - "shell.execute_reply": "2023-06-28T21:13:21.155341Z" + "iopub.execute_input": "2023-08-02T12:48:18.585342Z", + "iopub.status.busy": "2023-08-02T12:48:18.585245Z", + "iopub.status.idle": "2023-08-02T12:48:18.690284Z", + "shell.execute_reply": "2023-08-02T12:48:18.690035Z" }, "scrolled": false }, @@ -2550,23 +2550,23 @@ " 3\n", " axon-eventsourcing-4.7.5\n", " axon-modelling-4.7.5\n", - " org.axonframework.eventsourcing.conflictresolu...\n", + " org.axonframework.eventsourcing.eventstore.jdbc\n", " org.axonframework.modelling.command\n", " 1\n", " 51\n", " 0.019608\n", - " [org.axonframework.modelling.command.Conflicti...\n", + " [org.axonframework.modelling.command.Concurren...\n", " \n", " \n", " 4\n", " axon-eventsourcing-4.7.5\n", " axon-modelling-4.7.5\n", - " org.axonframework.eventsourcing.eventstore.jdbc\n", + " org.axonframework.eventsourcing.conflictresolu...\n", " org.axonframework.modelling.command\n", " 1\n", " 51\n", " 0.019608\n", - " [org.axonframework.modelling.command.Concurren...\n", + " [org.axonframework.modelling.command.Conflicti...\n", " \n", " \n", " 5\n", @@ -2592,25 +2592,25 @@ " \n", " \n", " 7\n", - " axon-test-4.7.5\n", + " axon-eventsourcing-4.7.5\n", " axon-messaging-4.7.5\n", - " org.axonframework.test.eventscheduler\n", + " org.axonframework.eventsourcing.conflictresolu...\n", " org.axonframework.eventhandling\n", " 2\n", " 93\n", " 0.021505\n", - " [org.axonframework.eventhandling.EventMessage,...\n", + " [org.axonframework.eventhandling.DomainEventMe...\n", " \n", " \n", " 8\n", - " axon-eventsourcing-4.7.5\n", + " axon-test-4.7.5\n", " axon-messaging-4.7.5\n", - " org.axonframework.eventsourcing.conflictresolu...\n", + " org.axonframework.test.eventscheduler\n", " org.axonframework.eventhandling\n", " 2\n", " 93\n", " 0.021505\n", - " [org.axonframework.eventhandling.EventMessage,...\n", + " [org.axonframework.eventhandling.GenericEventM...\n", " \n", " \n", " 9\n", @@ -2627,7 +2627,7 @@ " 10\n", " axon-test-4.7.5\n", " axon-messaging-4.7.5\n", - " org.axonframework.test.matchers\n", + " org.axonframework.test\n", " org.axonframework.messaging\n", " 1\n", " 35\n", @@ -2638,7 +2638,7 @@ " 11\n", " axon-test-4.7.5\n", " axon-messaging-4.7.5\n", - " org.axonframework.test\n", + " org.axonframework.test.matchers\n", " org.axonframework.messaging\n", " 1\n", " 35\n", @@ -2671,7 +2671,7 @@ " 14\n", " axon-eventsourcing-4.7.5\n", " axon-messaging-4.7.5\n", - " org.axonframework.eventsourcing.eventstore.leg...\n", + " org.axonframework.eventsourcing.eventstore.jdbc\n", " org.axonframework.serialization\n", " 1\n", " 34\n", @@ -2682,7 +2682,7 @@ " 15\n", " axon-eventsourcing-4.7.5\n", " axon-messaging-4.7.5\n", - " org.axonframework.eventsourcing.eventstore.jdbc\n", + " org.axonframework.eventsourcing.eventstore.leg...\n", " org.axonframework.serialization\n", " 1\n", " 34\n", @@ -2698,7 +2698,7 @@ " 3\n", " 93\n", " 0.032258\n", - " [org.axonframework.eventhandling.EventMessage,...\n", + " [org.axonframework.eventhandling.GenericDomain...\n", " \n", " \n", " 17\n", @@ -2746,8 +2746,8 @@ "4 axon-eventsourcing-4.7.5 axon-modelling-4.7.5 \n", "5 axon-modelling-4.7.5 axon-messaging-4.7.5 \n", "6 axon-modelling-4.7.5 axon-messaging-4.7.5 \n", - "7 axon-test-4.7.5 axon-messaging-4.7.5 \n", - "8 axon-eventsourcing-4.7.5 axon-messaging-4.7.5 \n", + "7 axon-eventsourcing-4.7.5 axon-messaging-4.7.5 \n", + "8 axon-test-4.7.5 axon-messaging-4.7.5 \n", "9 axon-eventsourcing-4.7.5 axon-messaging-4.7.5 \n", "10 axon-test-4.7.5 axon-messaging-4.7.5 \n", "11 axon-test-4.7.5 axon-messaging-4.7.5 \n", @@ -2764,19 +2764,19 @@ "0 org.axonframework.test.matchers \n", "1 org.axonframework.modelling.saga.metamodel \n", "2 org.axonframework.eventsourcing.snapshotting \n", - "3 org.axonframework.eventsourcing.conflictresolu... \n", - "4 org.axonframework.eventsourcing.eventstore.jdbc \n", + "3 org.axonframework.eventsourcing.eventstore.jdbc \n", + "4 org.axonframework.eventsourcing.conflictresolu... \n", "5 org.axonframework.modelling.command.legacyjpa \n", "6 org.axonframework.modelling.command \n", - "7 org.axonframework.test.eventscheduler \n", - "8 org.axonframework.eventsourcing.conflictresolu... \n", + "7 org.axonframework.eventsourcing.conflictresolu... \n", + "8 org.axonframework.test.eventscheduler \n", "9 org.axonframework.eventsourcing.eventstore \n", - "10 org.axonframework.test.matchers \n", - "11 org.axonframework.test \n", + "10 org.axonframework.test \n", + "11 org.axonframework.test.matchers \n", "12 org.axonframework.eventsourcing.conflictresolu... \n", "13 org.axonframework.eventsourcing.eventstore.jpa \n", - "14 org.axonframework.eventsourcing.eventstore.leg... \n", - "15 org.axonframework.eventsourcing.eventstore.jdbc \n", + "14 org.axonframework.eventsourcing.eventstore.jdbc \n", + "15 org.axonframework.eventsourcing.eventstore.leg... \n", "16 org.axonframework.eventsourcing.eventstore.jdb... \n", "17 org.axonframework.test.utils \n", "18 org.axonframework.test.matchers \n", @@ -2830,12 +2830,12 @@ "0 [org.axonframework.eventhandling.EventMessage] \n", "1 [org.axonframework.eventhandling.EventMessage] \n", "2 [org.axonframework.eventhandling.DomainEventData] \n", - "3 [org.axonframework.modelling.command.Conflicti... \n", - "4 [org.axonframework.modelling.command.Concurren... \n", + "3 [org.axonframework.modelling.command.Concurren... \n", + "4 [org.axonframework.modelling.command.Conflicti... \n", "5 [org.axonframework.eventhandling.DomainEventSe... \n", "6 [org.axonframework.eventhandling.DomainEventSe... \n", - "7 [org.axonframework.eventhandling.EventMessage,... \n", - "8 [org.axonframework.eventhandling.EventMessage,... \n", + "7 [org.axonframework.eventhandling.DomainEventMe... \n", + "8 [org.axonframework.eventhandling.GenericEventM... \n", "9 [org.axonframework.messaging.StreamableMessage... \n", "10 [org.axonframework.messaging.Message] \n", "11 [org.axonframework.messaging.Message] \n", @@ -2843,7 +2843,7 @@ "13 [org.axonframework.serialization.Serializer] \n", "14 [org.axonframework.serialization.Serializer] \n", "15 [org.axonframework.serialization.Serializer] \n", - "16 [org.axonframework.eventhandling.EventMessage,... \n", + "16 [org.axonframework.eventhandling.GenericDomain... \n", "17 [org.axonframework.modelling.saga.SimpleResour... \n", "18 [org.axonframework.commandhandling.CommandMess... \n", "19 [org.axonframework.commandhandling.CommandMess... " @@ -2880,7 +2880,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.4" }, "title": "Object Oriented Design Quality Metrics for Java with Neo4j" }, diff --git a/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md b/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md index 4d47bbf28..a6f68fb0c 100644 --- a/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md +++ b/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md @@ -1,4 +1,4 @@ -# Package Dependencies for Java with Neo4j +# Internal Dependencies
### References @@ -32,9 +32,9 @@ 0 - axon-eventsourcing-4.7.5.jar - 9 - 130 + axon-messaging-4.7.5.jar + 61 + 729 1 @@ -44,21 +44,21 @@ 2 - axon-configuration-4.7.5.jar + axon-disruptor-4.7.5.jar 1 - 39 + 22 3 - axon-messaging-4.7.5.jar - 61 - 729 + axon-eventsourcing-4.7.5.jar + 9 + 130 4 - axon-disruptor-4.7.5.jar + axon-configuration-4.7.5.jar 1 - 22 + 39 5 @@ -78,7 +78,7 @@ Cyclic dependencies occur when one package uses a class of another package and v These dependencies can lead to a lot of trouble when one of these packages needs to be changed. ### Table 2 -- List packages with cyclic dependencies +- List packages with cyclic dependencies as an overview @@ -105,7 +105,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.882353 16 1 - [QueryMessage->ResponseType, SimpleQueryUpdate... + [StreamingQueryMessage->ResponseType, DefaultQ... [ConvertingResponseMessage->QueryResponseMessage] @@ -115,7 +115,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.857143 13 1 - [TrackingEventProcessor->Span, TrackingEventPr... + [AbstractEventProcessor$Builder->SpanFactory, ... [NestingSpanFactory->EventMessage] @@ -125,8 +125,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.853659 38 3 - [SubscribingEventProcessor->SubscribableMessag... - [Headers->EventMessage, Headers->DomainEventMe... + [TrackingTokenParameterResolverFactory$Trackin... + [Headers->DomainEventMessage, Headers->EventMe... 3 @@ -135,7 +135,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.840000 23 2 - [AllowReplay->HasHandlerAttributes, TimestampP... + [TrackingTokenParameterResolverFactory$Trackin... [SourceIdParameterResolverFactory$SourceIdPara... @@ -155,7 +155,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.777778 16 2 - [AbstractSnapshotter$Builder->EventStore, Aggr... + [FilteringEventStorageEngine->DomainEventStrea... [DomainEventStream->EventStreamUtils, Abstract... @@ -165,7 +165,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.750000 7 1 - [SimpleDeadlineManager->Span, SimpleDeadlineMa... + [SimpleDeadlineManager$Builder->SpanFactory, S... [SpanUtils->DeadlineMessage] @@ -175,8 +175,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.733333 13 2 - [NoOpCallback->CommandMessage, NoOpCallback->C... - [SimpleCommandBus$Builder->NoOpCallback, Simpl... + [FutureCallback->CommandCallback, FutureCallba... + [SimpleCommandBus$Builder->LoggingCallback, Si... 8 @@ -185,7 +185,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.666667 5 1 - [SimpleCommandBus$Builder->SpanFactory, Simple... + [SimpleCommandBus->Span, SimpleCommandBus->Spa... [SpanUtils->CommandMessage] @@ -195,8 +195,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.647059 14 3 - [GenericEventMessage->CachingSupplier, Tracked... - [AbstractXStreamSerializer->GenericEventMessag... + [AbstractSequencedDomainEventEntry->Serializer... + [GapAwareTrackingTokenConverter->GapAwareTrack... 10 @@ -205,7 +205,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.647059 14 3 - [MessageProcessingContext->Message, BatchingUn... + [DefaultUnitOfWork->GenericResultMessage, Defa... [GenericMessage->CurrentUnitOfWork, MessageHan... @@ -216,7 +216,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 10 3 [PropertySequencingPolicy$Builder->EventMessag... - [SimpleEventHandlerInvoker$Builder->Sequential... + [SimpleEventHandlerInvoker->SequencingPolicy, ... 12 @@ -225,8 +225,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.454545 8 3 - [ReplayParameterResolverFactory->ReplayStatus,... - [ResetHandler->ResetContext, AnnotationEventHa... + [ReplayAwareMessageHandlerWrapper->AllowReplay... + [AnnotationEventHandlerAdapter->GenericResetCo... 13 @@ -235,8 +235,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.333333 6 3 - [InitialEventRepresentation->DomainEventData, ... - [EventUtils->EventUpcaster, EventUtils->Initia... + [InitialEventRepresentation->TrackingToken, In... + [EventUtils->InitialEventRepresentation, Event... 14 @@ -245,8 +245,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.317073 27 14 - [JdbcEventStorageEngine->AppendSnapshotStateme... - [CleanGapsStatementBuilder->EventSchema, Creat... + [JdbcEventStorageEngine->AppendEventsStatement... + [LastSequenceNumberForStatementBuilder->EventS... 15 @@ -255,8 +255,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.250000 20 12 - [AggregateMemberAnnotatedChildEntityCollection... - [ForwardingMode->EntityModel, ForwardMatchingI... + [MethodCreationPolicyDefinition->CreationPolic... + [ForwardMatchingInstances->EntityModel, Forwar... 16 @@ -265,7 +265,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.250000 5 3 - [DuplicateQueryHandlerResolution->QuerySubscri... + [DuplicateQueryHandlerResolver->QuerySubscript... [SimpleQueryBus$Builder->DuplicateQueryHandler... @@ -275,7 +275,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.238095 13 8 - [GenericResultMessage->Serializer, GenericResu... + [ResultMessage->SerializedObject, ResultMessag... [SerializedMessage->GenericMessage, Serialized... @@ -286,7 +286,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 8 5 [TrackingEventProcessor->TokenStore, TrackingE... - [TokenStore->Segment, TokenStore->TrackingToke... + [TokenStore->Segment, GenericTokenEntry->Track... 19 @@ -296,7 +296,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 3 2 [MessageHandlerInterceptorDefinition->MessageH... - [ResultHandler->HasHandlerAttributes, MessageH... + [MessageHandlerInterceptor->MessageHandler, Re... 20 @@ -306,7 +306,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 4 3 [AnnotatedSagaManager$Builder->AnnotationSagaM... - [SagaModel->AssociationValue, AnnotationSagaMe... + [AnnotationSagaMetaModelFactory$InspectedSagaM... 21 @@ -315,8 +315,8 @@ These dependencies can lead to a lot of trouble when one of these packages needs 0.076923 7 6 - [OrCommandMessageFilter->CommandMessageFilter,... - [CommandMessageFilter->OrCommandMessageFilter,... + [AndCommandMessageFilter->CommandMessageFilter... + [CommandMessageFilter->AndCommandMessageFilter... @@ -325,7 +325,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs ### Table 3 -- List packages with cyclic dependencies with every dependency in a separate row sorted by the easiest and most valuable to resolve +- List packages with cyclic dependencies with every dependency in a separate row sorted by the easiest and most valuable resolvable dependency first @@ -357,7 +357,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 1 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - QueryMessage->ResponseType + StreamingQueryMessage->ResponseType 0.882353 16 1 @@ -366,7 +366,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 2 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - SimpleQueryUpdateEmitter->OptionalResponseType + DefaultQueryGateway->ResponseType 0.882353 16 1 @@ -375,7 +375,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 3 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - SimpleQueryUpdateEmitter->MultipleInstancesRes... + GenericStreamingQueryMessage->PublisherRespons... 0.882353 16 1 @@ -384,7 +384,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 4 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - SimpleQueryUpdateEmitter->PublisherResponseType + GenericStreamingQueryMessage->ResponseType 0.882353 16 1 @@ -393,7 +393,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 5 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - SimpleQueryUpdateEmitter->ResponseType + SubscriptionQueryMessage->ResponseType 0.882353 16 1 @@ -402,7 +402,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 6 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - GenericSubscriptionQueryMessage->ResponseType + GenericQueryMessage->ResponseType 0.882353 16 1 @@ -411,7 +411,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 7 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - GenericStreamingQueryMessage->PublisherRespons... + GenericSubscriptionQueryMessage->ResponseType 0.882353 16 1 @@ -420,7 +420,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 8 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - GenericStreamingQueryMessage->ResponseType + SimpleQueryUpdateEmitter->ResponseType 0.882353 16 1 @@ -429,7 +429,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 9 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - GenericQueryMessage->ResponseType + SimpleQueryUpdateEmitter->MultipleInstancesRes... 0.882353 16 1 @@ -438,7 +438,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 10 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - StreamingQueryMessage->ResponseType + SimpleQueryUpdateEmitter->OptionalResponseType 0.882353 16 1 @@ -447,7 +447,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 11 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - DefaultQueryGateway->ResponseType + SimpleQueryUpdateEmitter->PublisherResponseType 0.882353 16 1 @@ -456,7 +456,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 12 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - SubscriptionQueryMessage->ResponseType + SimpleQueryBus->ResponseType 0.882353 16 1 @@ -465,7 +465,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 13 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - QueryGateway->ResponseTypes + QueryMessage->ResponseType 0.882353 16 1 @@ -474,7 +474,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 14 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - QueryGateway->ResponseType + QuerySubscription->ResponseType 0.882353 16 1 @@ -483,7 +483,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 15 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - SimpleQueryBus->ResponseType + QueryGateway->ResponseTypes 0.882353 16 1 @@ -492,7 +492,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 16 org.axonframework.queryhandling org.axonframework.messaging.responsetypes - QuerySubscription->ResponseType + QueryGateway->ResponseType 0.882353 16 1 @@ -510,7 +510,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 18 org.axonframework.eventhandling org.axonframework.tracing - TrackingEventProcessor->Span + AbstractEventProcessor$Builder->SpanFactory 0.857143 13 1 @@ -519,7 +519,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 19 org.axonframework.eventhandling org.axonframework.tracing - TrackingEventProcessor->SpanFactory + AbstractEventProcessor$Builder->NoOpSpanFactory 0.857143 13 1 @@ -528,7 +528,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 20 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventProcessor$Builder->NoOpSpanFactory + TrackingEventProcessor->SpanFactory 0.857143 13 1 @@ -537,7 +537,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 21 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventProcessor$Builder->SpanFactory + TrackingEventProcessor->Span 0.857143 13 1 @@ -546,7 +546,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 22 org.axonframework.eventhandling org.axonframework.tracing - SubscribingEventProcessor$Builder->SpanFactory + AbstractEventBus$Builder->NoOpSpanFactory 0.857143 13 1 @@ -555,7 +555,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 23 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventProcessor->Span + AbstractEventBus$Builder->SpanFactory 0.857143 13 1 @@ -564,7 +564,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 24 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventProcessor->SpanFactory + TrackingEventProcessor$Builder->SpanFactory 0.857143 13 1 @@ -573,7 +573,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 25 org.axonframework.eventhandling org.axonframework.tracing - SimpleEventBus$Builder->SpanFactory + SubscribingEventProcessor$Builder->SpanFactory 0.857143 13 1 @@ -582,7 +582,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 26 org.axonframework.eventhandling org.axonframework.tracing - TrackingEventProcessor$Builder->SpanFactory + AbstractEventProcessor->SpanFactory 0.857143 13 1 @@ -591,7 +591,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 27 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventBus$Builder->NoOpSpanFactory + AbstractEventProcessor->Span 0.857143 13 1 @@ -600,7 +600,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 28 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventBus$Builder->SpanFactory + AbstractEventBus->SpanFactory 0.857143 13 1 @@ -618,7 +618,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 30 org.axonframework.eventhandling org.axonframework.tracing - AbstractEventBus->SpanFactory + SimpleEventBus$Builder->SpanFactory 0.857143 13 1 @@ -627,7 +627,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 31 org.axonframework.eventhandling org.axonframework.messaging - EventMessage<-Headers + DomainEventMessage<-Headers 0.853659 38 3 @@ -636,7 +636,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 32 org.axonframework.eventhandling org.axonframework.messaging - DomainEventMessage<-Headers + EventMessage<-Headers 0.853659 38 3 @@ -654,7 +654,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 34 org.axonframework.eventhandling org.axonframework.messaging - SubscribingEventProcessor->SubscribableMessage... + TrackingTokenParameterResolverFactory$Tracking... 0.853659 38 3 @@ -663,7 +663,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 35 org.axonframework.eventhandling org.axonframework.messaging - EventMessage->Message + MultiStreamableMessageSource$IdentifiedStreama... 0.853659 38 3 @@ -672,7 +672,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 36 org.axonframework.eventhandling org.axonframework.messaging - GenericEventMessage->MetaData + ConcludesBatchParameterResolverFactory->Message 0.853659 38 3 @@ -681,7 +681,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 37 org.axonframework.eventhandling org.axonframework.messaging - GenericEventMessage->MessageDecorator + SubscribingEventProcessor->SubscribableMessage... 0.853659 38 3 @@ -690,7 +690,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 38 org.axonframework.eventhandling org.axonframework.messaging - GenericEventMessage->GenericMessage + MultiStreamableMessageSource->StreamableMessag... 0.853659 38 3 @@ -699,7 +699,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 39 org.axonframework.eventhandling org.axonframework.messaging - GenericEventMessage->Message + TrackingEventProcessor->Message 0.853659 38 3 @@ -726,7 +726,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 42 org.axonframework.eventhandling org.axonframework.messaging - TrackingEventProcessor->Message + GenericDomainEventMessage->Message 0.853659 38 3 @@ -735,7 +735,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 43 org.axonframework.eventhandling org.axonframework.messaging - GenericTrackedDomainEventMessage->Message + GenericDomainEventMessage->GenericMessage 0.853659 38 3 @@ -744,7 +744,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 44 org.axonframework.eventhandling org.axonframework.messaging - SequenceNumberParameterResolverFactory$Sequenc... + GenericDomainEventMessage->MetaData 0.853659 38 3 @@ -753,7 +753,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 45 org.axonframework.eventhandling org.axonframework.messaging - MultiStreamableMessageSource->StreamableMessag... + ReplayToken->Message 0.853659 38 3 @@ -762,7 +762,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 46 org.axonframework.eventhandling org.axonframework.messaging - SubscribingEventProcessor$Builder->Subscribabl... + EventMessageHandler->MessageHandler 0.853659 38 3 @@ -771,7 +771,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 47 org.axonframework.eventhandling org.axonframework.messaging - GenericDomainEventMessage->MetaData + EventMessageHandler->Message 0.853659 38 3 @@ -780,7 +780,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 48 org.axonframework.eventhandling org.axonframework.messaging - GenericDomainEventMessage->GenericMessage + SequenceNumberParameterResolverFactory$Sequenc... 0.853659 38 3 @@ -789,7 +789,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 49 org.axonframework.eventhandling org.axonframework.messaging - GenericDomainEventMessage->Message + GenericTrackedDomainEventMessage->Message 0.853659 38 3 @@ -798,7 +798,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 50 org.axonframework.eventhandling org.axonframework.messaging - ConcludesBatchParameterResolverFactory->Message + DomainEventMessage->Message 0.853659 38 3 @@ -807,7 +807,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 51 org.axonframework.eventhandling org.axonframework.messaging - DomainEventMessage->Message + TrackingEventProcessor$Builder->StreamableMess... 0.853659 38 3 @@ -816,7 +816,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 52 org.axonframework.eventhandling org.axonframework.messaging - MultiStreamableMessageSource$Builder->Streamab... + SubscribingEventProcessor$Builder->Subscribabl... 0.853659 38 3 @@ -834,7 +834,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 54 org.axonframework.eventhandling org.axonframework.messaging - AnnotationEventHandlerAdapter->Message + AbstractEventProcessor->DefaultInterceptorChain 0.853659 38 3 @@ -843,7 +843,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 55 org.axonframework.eventhandling org.axonframework.messaging - AbstractEventProcessor->DefaultInterceptorChain + AbstractEventProcessor->ResultMessage 0.853659 38 3 @@ -852,7 +852,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 56 org.axonframework.eventhandling org.axonframework.messaging - AbstractEventProcessor->ResultMessage + AbstractEventProcessor->MessageHandlerInterceptor 0.853659 38 3 @@ -861,7 +861,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 57 org.axonframework.eventhandling org.axonframework.messaging - AbstractEventProcessor->MessageHandlerInterceptor + GenericEventMessage->GenericMessage 0.853659 38 3 @@ -870,7 +870,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 58 org.axonframework.eventhandling org.axonframework.messaging - EventBus->SubscribableMessageSource + GenericEventMessage->MessageDecorator 0.853659 38 3 @@ -879,7 +879,7 @@ These dependencies can lead to a lot of trouble when one of these packages needs 59 org.axonframework.eventhandling org.axonframework.messaging - EventBus->MessageDispatchInterceptorSupport + GenericEventMessage->MetaData 0.853659 38 3 @@ -910,7 +910,7 @@ If just one method of a type is used, especially in many places, then the result If there are a couple of methods that are used for a distinct purpose, those could be factored out into a separate interface. The original type can extended/implement the new interface so that there are no breaking changes. Then all the callers, that use only this group of methods, can be changed to the new interface. -### Table 3 +### Table 4 - List top 20 most used combinations of methods of larger Types that might benefit from *Interface Segregation* @@ -921,7 +921,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou - dependentType.fqn + fullDependentTypeName declaredMethods calledMethodNames calledMethods @@ -949,7 +949,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 2 org.axonframework.eventhandling.EventMessage 9 - [getIdentifier, getTimestamp] + [getTimestamp, getIdentifier] 2 8 @@ -973,7 +973,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 5 org.axonframework.eventhandling.DomainEventMes... 10 - [getType, getAggregateIdentifier, getSequenceN... + [getAggregateIdentifier, getType, getSequenceN... 3 5 @@ -1029,7 +1029,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 12 org.axonframework.eventhandling.DomainEventMes... 10 - [getType] + [getAggregateIdentifier] 1 4 @@ -1037,7 +1037,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 13 org.axonframework.eventhandling.DomainEventMes... 10 - [getAggregateIdentifier] + [getType] 1 4 @@ -1069,7 +1069,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 17 org.axonframework.eventhandling.DomainEventMes... 11 - [getType, getAggregateIdentifier, getSequenceN... + [getAggregateIdentifier, getType, getSequenceN... 3 3 @@ -1085,7 +1085,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 19 org.axonframework.eventhandling.GapAwareTracki... 10 - [getGaps, withGapsTruncatedAt, advanceTo, getI... + [getGaps, withGapsTruncatedAt, getIndex, newIn... 5 3 @@ -1099,7 +1099,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou ### Types that are used by multiple packages -#### Table 4 +#### Table 5 - List the top 20 packages that are used by the highest count of different packages @@ -1252,8 +1252,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 19 - org.axonframework.messaging.MessageHandlerInte... - MessageHandlerInterceptor + org.axonframework.messaging.MessageDispatchInt... + MessageDispatchInterceptor [Type, File, Java, ByteCode, GenericDeclaratio... 15 @@ -1265,7 +1265,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou ### Packages that are used by multiple artifacts -#### Table 5 +#### Table 6 - List the top 20 artifacts that only use a few (compared to all existing) packages of another artifact @@ -1293,8 +1293,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 9 61 0.147541 - [org.axonframework.monitoring, org.axonframewo... - [monitoring, commandhandling, caching, unitofw... + [org.axonframework.commandhandling, org.axonfr... + [commandhandling, transaction, callbacks, comm... 1 @@ -1303,12 +1303,12 @@ If there are a couple of methods that are used for a distinct purpose, those cou 10 61 0.163934 - [org.axonframework.eventhandling.scheduling, o... - [scheduling, eventhandling, common, annotation... + [org.axonframework.messaging, org.axonframewor... + [messaging, deadline, unitofwork, common, gate... 2 - axon-eventsourcing-4.7.5 + axon-disruptor-4.7.5 axon-modelling-4.7.5 2 10 @@ -1318,7 +1318,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 3 - axon-disruptor-4.7.5 + axon-eventsourcing-4.7.5 axon-modelling-4.7.5 2 10 @@ -1333,8 +1333,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 2 9 0.222222 - [org.axonframework.eventsourcing, org.axonfram... - [eventsourcing, eventstore] + [org.axonframework.eventsourcing.eventstore, o... + [eventstore, eventsourcing] 5 @@ -1343,8 +1343,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 2 9 0.222222 - [org.axonframework.eventsourcing.eventstore, o... - [eventstore, eventsourcing] + [org.axonframework.eventsourcing, org.axonfram... + [eventsourcing, eventstore] 6 @@ -1353,8 +1353,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 18 61 0.295082 - [org.axonframework.messaging.annotation, org.a... - [annotation, legacyjpa, common, tracing, event... + [org.axonframework.eventhandling, org.axonfram... + [eventhandling, annotation, unitofwork, lock, ... 7 @@ -1363,8 +1363,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 20 61 0.327869 - [org.axonframework.messaging.annotation, org.a... - [annotation, common, messaging, eventhandling,... + [org.axonframework.common, org.axonframework.e... + [common, eventhandling, messaging, lock, event... 8 @@ -1373,8 +1373,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 4 9 0.444444 - [org.axonframework.eventsourcing.eventstore.jp... - [jpa, eventstore, eventsourcing, snapshotting] + [org.axonframework.eventsourcing, org.axonfram... + [eventsourcing, snapshotting, jpa, eventstore] 9 @@ -1384,7 +1384,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 10 0.500000 [org.axonframework.modelling.saga, org.axonfra... - [saga, repository, inmemory, inspection, command] + [saga, inmemory, repository, command, inspection] 10 @@ -1393,8 +1393,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 34 61 0.557377 - [org.axonframework.eventhandling.tokenstore, o... - [tokenstore, lock, caching, gateway, deadlette... + [org.axonframework.eventhandling.tokenstore.in... + [inmemory, transaction, jpa, gateway, tracing,... 11 @@ -1403,8 +1403,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 6 10 0.600000 - [org.axonframework.modelling.command.inspectio... - [inspection, command, repository, saga, jpa, m... + [org.axonframework.modelling.saga, org.axonfra... + [saga, inspection, command, metamodel, jpa, re... 12 @@ -1413,8 +1413,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 6 10 0.600000 - [org.axonframework.modelling.saga.repository, ... - [repository, jpa, saga, inspection, inmemory, ... + [org.axonframework.modelling.saga, org.axonfra... + [saga, inspection, command, jpa, repository, i... 13 @@ -1423,8 +1423,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 5 8 0.625000 - [org.axonframework.test, org.axonframework.tes... - [test, utils, matchers, deadline, eventscheduler] + [org.axonframework.test.matchers, org.axonfram... + [matchers, test, eventscheduler, utils, deadline] 14 @@ -1433,8 +1433,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 40 61 0.655738 - [org.axonframework.messaging.annotation, org.a... - [annotation, messaging, common, unitofwork, re... + [org.axonframework.eventhandling, org.axonfram... + [eventhandling, messaging, unitofwork, command... 15 @@ -1443,8 +1443,8 @@ If there are a couple of methods that are used for a distinct purpose, those cou 7 9 0.777778 - [org.axonframework.eventsourcing.eventstore, o... - [eventstore, snapshotting, jpa, conflictresolu... + [org.axonframework.eventsourcing.conflictresol... + [conflictresolution, eventstore, snapshotting,... 16 @@ -1464,7 +1464,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou ### Packages that are used by multiple artifacts -#### Table 6 +#### Table 7 - List the top 20 packages that only use a few (compared to all existing) types of another package @@ -1523,23 +1523,23 @@ If there are a couple of methods that are used for a distinct purpose, those cou 3 axon-eventsourcing-4.7.5 axon-modelling-4.7.5 - org.axonframework.eventsourcing.conflictresolu... + org.axonframework.eventsourcing.eventstore.jdbc org.axonframework.modelling.command 1 51 0.019608 - [org.axonframework.modelling.command.Conflicti... + [org.axonframework.modelling.command.Concurren... 4 axon-eventsourcing-4.7.5 axon-modelling-4.7.5 - org.axonframework.eventsourcing.eventstore.jdbc + org.axonframework.eventsourcing.conflictresolu... org.axonframework.modelling.command 1 51 0.019608 - [org.axonframework.modelling.command.Concurren... + [org.axonframework.modelling.command.Conflicti... 5 @@ -1565,25 +1565,25 @@ If there are a couple of methods that are used for a distinct purpose, those cou 7 - axon-test-4.7.5 + axon-eventsourcing-4.7.5 axon-messaging-4.7.5 - org.axonframework.test.eventscheduler + org.axonframework.eventsourcing.conflictresolu... org.axonframework.eventhandling 2 93 0.021505 - [org.axonframework.eventhandling.EventMessage,... + [org.axonframework.eventhandling.DomainEventMe... 8 - axon-eventsourcing-4.7.5 + axon-test-4.7.5 axon-messaging-4.7.5 - org.axonframework.eventsourcing.conflictresolu... + org.axonframework.test.eventscheduler org.axonframework.eventhandling 2 93 0.021505 - [org.axonframework.eventhandling.EventMessage,... + [org.axonframework.eventhandling.GenericEventM... 9 @@ -1600,7 +1600,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 10 axon-test-4.7.5 axon-messaging-4.7.5 - org.axonframework.test.matchers + org.axonframework.test org.axonframework.messaging 1 35 @@ -1611,7 +1611,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 11 axon-test-4.7.5 axon-messaging-4.7.5 - org.axonframework.test + org.axonframework.test.matchers org.axonframework.messaging 1 35 @@ -1644,7 +1644,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 14 axon-eventsourcing-4.7.5 axon-messaging-4.7.5 - org.axonframework.eventsourcing.eventstore.leg... + org.axonframework.eventsourcing.eventstore.jdbc org.axonframework.serialization 1 34 @@ -1655,7 +1655,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 15 axon-eventsourcing-4.7.5 axon-messaging-4.7.5 - org.axonframework.eventsourcing.eventstore.jdbc + org.axonframework.eventsourcing.eventstore.leg... org.axonframework.serialization 1 34 @@ -1671,7 +1671,7 @@ If there are a couple of methods that are used for a distinct purpose, those cou 3 93 0.032258 - [org.axonframework.eventhandling.EventMessage,... + [org.axonframework.eventhandling.GenericDomain... 17 diff --git a/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.pdf b/results/AxonFramework-4.7.5/internal-dependencies/InternalDependencies.pdf index 5fa497736770a2a3934b724df225f9353792501b..e29b49029816a279dfe975f565be6c1f2250293c 100644 GIT binary patch literal 268359 zcma&M18^o$*YBH5%!!?eZQD*Jw*ADmZQHhO+qRR5ZB2CZ&U@r_4UboK6E zFZ}oJu3D=%iJY(~4FfGRG|9sG=^iu#K0UsTfjKlcH=U5ZvA&~?JwCaRslAPrnUfU- zG@YEijgga~@%Nyjg_%Cx_r3U5Yz*HQ{=sH8*24OZ#`xsIoQ(90O!VyZj0}v-9Q3SI 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z{!r*$dlCce=f6GIjbsUEC`gQe&`cN5B2v>xO2^q5P \n", "\n", "### References\n", @@ -24,10 +24,10 @@ "id": "4191f259", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:33.486714Z", - "iopub.status.busy": "2023-06-28T21:12:33.486283Z", - "iopub.status.idle": "2023-06-28T21:12:34.070397Z", - "shell.execute_reply": "2023-06-28T21:12:34.069685Z" + "iopub.execute_input": "2023-08-02T12:49:10.135569Z", + "iopub.status.busy": "2023-08-02T12:49:10.135267Z", + "iopub.status.idle": "2023-08-02T12:49:10.463757Z", + "shell.execute_reply": "2023-08-02T12:49:10.463479Z" } }, "outputs": [], @@ -43,10 +43,10 @@ "id": "1c5dab37", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.074473Z", - "iopub.status.busy": "2023-06-28T21:12:34.073949Z", - "iopub.status.idle": "2023-06-28T21:12:34.188371Z", - "shell.execute_reply": "2023-06-28T21:12:34.187726Z" + "iopub.execute_input": "2023-08-02T12:49:10.465394Z", + "iopub.status.busy": "2023-08-02T12:49:10.465272Z", + "iopub.status.idle": "2023-08-02T12:49:10.512576Z", + "shell.execute_reply": "2023-08-02T12:49:10.512244Z" } }, "outputs": [], @@ -63,10 +63,10 @@ "id": "c1db254b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.192128Z", - "iopub.status.busy": "2023-06-28T21:12:34.191568Z", - "iopub.status.idle": "2023-06-28T21:12:34.196292Z", - "shell.execute_reply": "2023-06-28T21:12:34.195652Z" + "iopub.execute_input": "2023-08-02T12:49:10.514053Z", + "iopub.status.busy": "2023-08-02T12:49:10.513971Z", + "iopub.status.idle": "2023-08-02T12:49:10.515748Z", + "shell.execute_reply": "2023-08-02T12:49:10.515526Z" } }, "outputs": [], @@ -82,10 +82,10 @@ "id": "59310f6f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.199212Z", - "iopub.status.busy": "2023-06-28T21:12:34.198993Z", - "iopub.status.idle": "2023-06-28T21:12:34.202037Z", - "shell.execute_reply": "2023-06-28T21:12:34.201400Z" + "iopub.execute_input": "2023-08-02T12:49:10.517054Z", + "iopub.status.busy": "2023-08-02T12:49:10.516981Z", + "iopub.status.idle": "2023-08-02T12:49:10.518647Z", + "shell.execute_reply": "2023-08-02T12:49:10.518419Z" } }, "outputs": [], @@ -100,10 +100,10 @@ "id": "da9e8edb", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.205016Z", - "iopub.status.busy": "2023-06-28T21:12:34.204800Z", - "iopub.status.idle": "2023-06-28T21:12:34.207419Z", - "shell.execute_reply": "2023-06-28T21:12:34.206801Z" + "iopub.execute_input": "2023-08-02T12:49:10.519845Z", + "iopub.status.busy": "2023-08-02T12:49:10.519771Z", + "iopub.status.idle": "2023-08-02T12:49:10.521175Z", + "shell.execute_reply": "2023-08-02T12:49:10.520952Z" } }, "outputs": [], @@ -118,10 +118,10 @@ "id": "9deaabce", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.210218Z", - "iopub.status.busy": "2023-06-28T21:12:34.210006Z", - "iopub.status.idle": "2023-06-28T21:12:34.219089Z", - "shell.execute_reply": "2023-06-28T21:12:34.218456Z" + "iopub.execute_input": "2023-08-02T12:49:10.522501Z", + "iopub.status.busy": "2023-08-02T12:49:10.522422Z", + "iopub.status.idle": "2023-08-02T12:49:10.527288Z", + "shell.execute_reply": "2023-08-02T12:49:10.527035Z" } }, "outputs": [ @@ -178,10 +178,10 @@ "id": "dc682db6", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.223482Z", - "iopub.status.busy": "2023-06-28T21:12:34.223268Z", - "iopub.status.idle": "2023-06-28T21:12:34.722745Z", - "shell.execute_reply": "2023-06-28T21:12:34.722068Z" + "iopub.execute_input": "2023-08-02T12:49:10.528675Z", + "iopub.status.busy": "2023-08-02T12:49:10.528600Z", + "iopub.status.idle": "2023-08-02T12:49:10.675750Z", + "shell.execute_reply": "2023-08-02T12:49:10.675495Z" } }, "outputs": [ @@ -214,9 +214,9 @@ " \n", " \n", " 0\n", - " axon-eventsourcing-4.7.5.jar\n", - " 9\n", - " 130\n", + " axon-messaging-4.7.5.jar\n", + " 61\n", + " 729\n", " \n", " \n", " 1\n", @@ -226,21 +226,21 @@ " \n", " \n", " 2\n", - " axon-configuration-4.7.5.jar\n", + " axon-disruptor-4.7.5.jar\n", " 1\n", - " 39\n", + " 22\n", " \n", " \n", " 3\n", - " axon-messaging-4.7.5.jar\n", - " 61\n", - " 729\n", + " axon-eventsourcing-4.7.5.jar\n", + " 9\n", + " 130\n", " \n", " \n", " 4\n", - " axon-disruptor-4.7.5.jar\n", + " axon-configuration-4.7.5.jar\n", " 1\n", - " 22\n", + " 39\n", " \n", " \n", " 5\n", @@ -254,11 +254,11 @@ ], "text/plain": [ " artifactName packages types\n", - "0 axon-eventsourcing-4.7.5.jar 9 130\n", + "0 axon-messaging-4.7.5.jar 61 729\n", "1 axon-modelling-4.7.5.jar 10 149\n", - "2 axon-configuration-4.7.5.jar 1 39\n", - "3 axon-messaging-4.7.5.jar 61 729\n", - "4 axon-disruptor-4.7.5.jar 1 22\n", + "2 axon-disruptor-4.7.5.jar 1 22\n", + "3 axon-eventsourcing-4.7.5.jar 9 130\n", + "4 axon-configuration-4.7.5.jar 1 39\n", "5 axon-test-4.7.5.jar 8 85" ] }, @@ -295,10 +295,10 @@ "id": "9a0a15be", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.726015Z", - "iopub.status.busy": "2023-06-28T21:12:34.725775Z", - "iopub.status.idle": "2023-06-28T21:12:34.928725Z", - "shell.execute_reply": "2023-06-28T21:12:34.928001Z" + "iopub.execute_input": "2023-08-02T12:49:10.677159Z", + "iopub.status.busy": "2023-08-02T12:49:10.677074Z", + "iopub.status.idle": "2023-08-02T12:49:10.759986Z", + "shell.execute_reply": "2023-08-02T12:49:10.759714Z" }, "scrolled": true }, @@ -662,10 +662,10 @@ "id": "a2ec92ab", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:34.932255Z", - "iopub.status.busy": "2023-06-28T21:12:34.931871Z", - "iopub.status.idle": "2023-06-28T21:12:35.115256Z", - "shell.execute_reply": "2023-06-28T21:12:35.114700Z" + "iopub.execute_input": "2023-08-02T12:49:10.761590Z", + "iopub.status.busy": "2023-08-02T12:49:10.761478Z", + "iopub.status.idle": "2023-08-02T12:49:10.838039Z", + "shell.execute_reply": "2023-08-02T12:49:10.837710Z" } }, "outputs": [ @@ -1030,10 +1030,10 @@ "id": "5fb9f58e", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:35.119905Z", - "iopub.status.busy": "2023-06-28T21:12:35.118823Z", - "iopub.status.idle": "2023-06-28T21:12:35.201581Z", - "shell.execute_reply": "2023-06-28T21:12:35.200975Z" + "iopub.execute_input": "2023-08-02T12:49:10.839584Z", + "iopub.status.busy": "2023-08-02T12:49:10.839481Z", + "iopub.status.idle": "2023-08-02T12:49:10.873301Z", + "shell.execute_reply": "2023-08-02T12:49:10.873012Z" } }, "outputs": [ @@ -1672,10 +1672,10 @@ "id": "2076d515", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:35.206421Z", - "iopub.status.busy": "2023-06-28T21:12:35.205287Z", - "iopub.status.idle": "2023-06-28T21:12:35.309786Z", - "shell.execute_reply": "2023-06-28T21:12:35.309044Z" + "iopub.execute_input": "2023-08-02T12:49:10.874731Z", + "iopub.status.busy": "2023-08-02T12:49:10.874642Z", + "iopub.status.idle": "2023-08-02T12:49:10.901401Z", + "shell.execute_reply": "2023-08-02T12:49:10.901149Z" } }, "outputs": [ @@ -1798,15 +1798,15 @@ " \n", " \n", " 11\n", - " org.axonframework.modelling.saga.repository.le...\n", - " legacyjpa\n", + " org.axonframework.deadline.jobrunr\n", + " jobrunr\n", " 0.000000\n", " 0\n", " 3\n", " \n", " \n", " 12\n", - " org.axonframework.deadline.jobrunr\n", + " org.axonframework.eventhandling.scheduling.job...\n", " jobrunr\n", " 0.000000\n", " 0\n", @@ -1814,23 +1814,23 @@ " \n", " \n", " 13\n", - " org.axonframework.eventhandling.scheduling.job...\n", - " jobrunr\n", + " org.axonframework.util\n", + " util\n", " 0.000000\n", " 0\n", " 3\n", " \n", " \n", " 14\n", - " org.axonframework.util\n", - " util\n", + " org.axonframework.modelling.saga.repository.le...\n", + " legacyjpa\n", " 0.000000\n", " 0\n", " 3\n", " \n", " \n", " 15\n", - " org.axonframework.eventsourcing.eventstore.inm...\n", + " org.axonframework.eventhandling.tokenstore.inm...\n", " inmemory\n", " 0.000000\n", " 0\n", @@ -1838,7 +1838,7 @@ " \n", " \n", " 16\n", - " org.axonframework.modelling.command.legacyjpa\n", + " org.axonframework.eventhandling.tokenstore.leg...\n", " legacyjpa\n", " 0.000000\n", " 0\n", @@ -1846,32 +1846,32 @@ " \n", " \n", " 17\n", - " org.axonframework.modelling.saga.repository.in...\n", - " inmemory\n", + " org.axonframework.messaging.interceptors.legac...\n", + " legacyvalidation\n", " 0.000000\n", " 0\n", " 2\n", " \n", " \n", " 18\n", - " org.axonframework.eventhandling.tokenstore.inm...\n", - " inmemory\n", + " org.axonframework.modelling.command.legacyjpa\n", + " legacyjpa\n", " 0.000000\n", " 0\n", " 2\n", " \n", " \n", " 19\n", - " org.axonframework.eventhandling.tokenstore.leg...\n", - " legacyjpa\n", + " org.axonframework.modelling.saga.repository.in...\n", + " inmemory\n", " 0.000000\n", " 0\n", " 2\n", " \n", " \n", " 20\n", - " org.axonframework.messaging.interceptors.legac...\n", - " legacyvalidation\n", + " org.axonframework.eventsourcing.eventstore.inm...\n", + " inmemory\n", " 0.000000\n", " 0\n", " 2\n", @@ -1918,23 +1918,23 @@ " \n", " \n", " 26\n", - " org.axonframework.modelling.saga.repository.jdbc\n", - " jdbc\n", + " org.axonframework.eventhandling.deadletter.jpa\n", + " jpa\n", " 0.111111\n", " 1\n", " 9\n", " \n", " \n", " 27\n", - " org.axonframework.eventhandling.deadletter.jpa\n", - " jpa\n", + " org.axonframework.eventhandling.tokenstore.jdbc\n", + " jdbc\n", " 0.111111\n", " 1\n", " 9\n", " \n", " \n", " 28\n", - " org.axonframework.eventhandling.tokenstore.jdbc\n", + " org.axonframework.modelling.saga.repository.jdbc\n", " jdbc\n", " 0.111111\n", " 1\n", @@ -1965,24 +1965,24 @@ "8 org.axonframework.eventhandling.deadletter deadletter \n", "9 org.axonframework.eventhandling.scheduling.java java \n", "10 org.axonframework.eventhandling.tokenstore.jpa jpa \n", - "11 org.axonframework.modelling.saga.repository.le... legacyjpa \n", - "12 org.axonframework.deadline.jobrunr jobrunr \n", - "13 org.axonframework.eventhandling.scheduling.job... jobrunr \n", - "14 org.axonframework.util util \n", - "15 org.axonframework.eventsourcing.eventstore.inm... inmemory \n", - "16 org.axonframework.modelling.command.legacyjpa legacyjpa \n", - "17 org.axonframework.modelling.saga.repository.in... inmemory \n", - "18 org.axonframework.eventhandling.tokenstore.inm... inmemory \n", - "19 org.axonframework.eventhandling.tokenstore.leg... legacyjpa \n", - "20 org.axonframework.messaging.interceptors.legac... legacyvalidation \n", + "11 org.axonframework.deadline.jobrunr jobrunr \n", + "12 org.axonframework.eventhandling.scheduling.job... jobrunr \n", + "13 org.axonframework.util util \n", + "14 org.axonframework.modelling.saga.repository.le... legacyjpa \n", + "15 org.axonframework.eventhandling.tokenstore.inm... inmemory \n", + "16 org.axonframework.eventhandling.tokenstore.leg... legacyjpa \n", + "17 org.axonframework.messaging.interceptors.legac... legacyvalidation \n", + "18 org.axonframework.modelling.command.legacyjpa legacyjpa \n", + "19 org.axonframework.modelling.saga.repository.in... inmemory \n", + "20 org.axonframework.eventsourcing.eventstore.inm... inmemory \n", "21 org.axonframework.test.server server \n", "22 org.axonframework.common.digest digest \n", "23 org.axonframework.common.io io \n", "24 org.axonframework.eventhandling.interceptors interceptors \n", "25 org.axonframework.disruptor.commandhandling commandhandling \n", - "26 org.axonframework.modelling.saga.repository.jdbc jdbc \n", - "27 org.axonframework.eventhandling.deadletter.jpa jpa \n", - "28 org.axonframework.eventhandling.tokenstore.jdbc jdbc \n", + "26 org.axonframework.eventhandling.deadletter.jpa jpa \n", + "27 org.axonframework.eventhandling.tokenstore.jdbc jdbc \n", + "28 org.axonframework.modelling.saga.repository.jdbc jdbc \n", "29 org.axonframework.test.matchers matchers \n", "\n", " abstractness numberAbstractTypes numberTypes \n", @@ -2050,10 +2050,10 @@ "id": "f8513ef8", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:35.313151Z", - "iopub.status.busy": "2023-06-28T21:12:35.312903Z", - "iopub.status.idle": "2023-06-28T21:12:35.377244Z", - "shell.execute_reply": "2023-06-28T21:12:35.376603Z" + "iopub.execute_input": "2023-08-02T12:49:10.903023Z", + "iopub.status.busy": "2023-08-02T12:49:10.902916Z", + "iopub.status.idle": "2023-08-02T12:49:10.926387Z", + "shell.execute_reply": "2023-08-02T12:49:10.926121Z" } }, "outputs": [ @@ -2391,10 +2391,10 @@ "id": "1fbbad97", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:35.380824Z", - "iopub.status.busy": "2023-06-28T21:12:35.380297Z", - "iopub.status.idle": "2023-06-28T21:12:35.384430Z", - "shell.execute_reply": "2023-06-28T21:12:35.383951Z" + "iopub.execute_input": "2023-08-02T12:49:10.927864Z", + "iopub.status.busy": "2023-08-02T12:49:10.927780Z", + "iopub.status.idle": "2023-08-02T12:49:10.929837Z", + "shell.execute_reply": "2023-08-02T12:49:10.929606Z" } }, "outputs": [], @@ -2418,16 +2418,16 @@ "id": "7c7e474d", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:35.388368Z", - "iopub.status.busy": "2023-06-28T21:12:35.387322Z", - "iopub.status.idle": "2023-06-28T21:12:35.745168Z", - "shell.execute_reply": "2023-06-28T21:12:35.744622Z" + "iopub.execute_input": "2023-08-02T12:49:10.931198Z", + "iopub.status.busy": "2023-08-02T12:49:10.931107Z", + "iopub.status.idle": "2023-08-02T12:49:11.017926Z", + "shell.execute_reply": "2023-08-02T12:49:11.017656Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] @@ -2492,7 +2492,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.4" }, "title": "Object Oriented Design Quality Metrics for Java with Neo4j" }, diff --git a/results/AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md b/results/AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md index 17b61d416..eb855d690 100644 --- a/results/AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md +++ b/results/AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md @@ -1,4 +1,4 @@ -# Object Oriented Design Quality Metrics for Java with Neo4j +# Object Oriented Design Quality Metrics
### References @@ -35,9 +35,9 @@ 0 - axon-eventsourcing-4.7.5.jar - 9 - 130 + axon-messaging-4.7.5.jar + 61 + 729 1 @@ -47,21 +47,21 @@ 2 - axon-configuration-4.7.5.jar + axon-disruptor-4.7.5.jar 1 - 39 + 22 3 - axon-messaging-4.7.5.jar - 61 - 729 + axon-eventsourcing-4.7.5.jar + 9 + 130 4 - axon-disruptor-4.7.5.jar + axon-configuration-4.7.5.jar 1 - 22 + 39 5 @@ -1112,15 +1112,15 @@ Zero *Abstractness* means that there are no abstract types or interfaces in the 11 - org.axonframework.modelling.saga.repository.le... - legacyjpa + org.axonframework.deadline.jobrunr + jobrunr 0.000000 0 3 12 - org.axonframework.deadline.jobrunr + org.axonframework.eventhandling.scheduling.job... jobrunr 0.000000 0 @@ -1128,23 +1128,23 @@ Zero *Abstractness* means that there are no abstract types or interfaces in the 13 - org.axonframework.eventhandling.scheduling.job... - jobrunr + org.axonframework.util + util 0.000000 0 3 14 - org.axonframework.util - util + org.axonframework.modelling.saga.repository.le... + legacyjpa 0.000000 0 3 15 - org.axonframework.eventsourcing.eventstore.inm... + org.axonframework.eventhandling.tokenstore.inm... inmemory 0.000000 0 @@ -1152,7 +1152,7 @@ Zero *Abstractness* means that there are no abstract types or interfaces in the 16 - org.axonframework.modelling.command.legacyjpa + org.axonframework.eventhandling.tokenstore.leg... legacyjpa 0.000000 0 @@ -1160,32 +1160,32 @@ Zero *Abstractness* means that there are no abstract types or interfaces in the 17 - org.axonframework.modelling.saga.repository.in... - inmemory + org.axonframework.messaging.interceptors.legac... + legacyvalidation 0.000000 0 2 18 - org.axonframework.eventhandling.tokenstore.inm... - inmemory + org.axonframework.modelling.command.legacyjpa + legacyjpa 0.000000 0 2 19 - org.axonframework.eventhandling.tokenstore.leg... - legacyjpa + org.axonframework.modelling.saga.repository.in... + inmemory 0.000000 0 2 20 - org.axonframework.messaging.interceptors.legac... - legacyvalidation + org.axonframework.eventsourcing.eventstore.inm... + inmemory 0.000000 0 2 @@ -1232,23 +1232,23 @@ Zero *Abstractness* means that there are no abstract types or interfaces in the 26 - org.axonframework.modelling.saga.repository.jdbc - jdbc + org.axonframework.eventhandling.deadletter.jpa + jpa 0.111111 1 9 27 - org.axonframework.eventhandling.deadletter.jpa - jpa + org.axonframework.eventhandling.tokenstore.jdbc + jdbc 0.111111 1 9 28 - org.axonframework.eventhandling.tokenstore.jdbc + org.axonframework.modelling.saga.repository.jdbc jdbc 0.111111 1 diff --git a/results/AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.pdf b/results/AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.pdf index 36ef0469fb2ab8aa474da74940e0b794d810f401..bb410ec175afc58790fdbe1b948f1d831df9edeb 100644 GIT binary patch literal 323282 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z5k!=Ci(39Q4>2cy*A)W&X+#JFz2z1DO;_-*3L@J7Z*7FYd_uqXoe-EGvC00X3x(a!(M{q(;O1a!L~{+oH55Q6;CB|tui(Cw`MuN;sM zLDT!2w}5M>QM=&MxBRI1Elle0b0{o*uumA$|{+k?F5c)@DApF12rk~5lA99FkjA;LF1wx^J zdO;9T#oy%wp?{18gtLAhz(Amo;2&cFv98|kF1J6}KO-23AQ8X)NZ|JOpF9D<-}{rF z57E3oH6ot?)$niEp-(Dgg+Ah delta 43 zcmX?omFe_VrU@Q$Mmh=^B_##LR{Hw6i6sR&`6W4-NqYH3>G~QkB$76!rLF=1cgGPC diff --git a/results/AxonFramework-4.7.5/overview-csv/Cyclomatic_Method_Complexity.csv b/results/AxonFramework-4.7.5/overview-csv/Cyclomatic_Method_Complexity.csv index 5ff04c4ad..42fe2ddba 100644 --- a/results/AxonFramework-4.7.5/overview-csv/Cyclomatic_Method_Complexity.csv +++ b/results/AxonFramework-4.7.5/overview-csv/Cyclomatic_Method_Complexity.csv @@ -1,4 +1,4 @@ -"artifactName","cyclomaticComplexity","methods","Source Cypher File: Cyclomatic_Method_Complexity_Distribution.cypher" +"artifactName","cyclomaticComplexity","methods","Source Cypher File: Overview/Cyclomatic_Method_Complexity_Distribution.cypher" "axon-configuration-4.7.5.jar",1,515,"" "axon-configuration-4.7.5.jar",2,37,"" "axon-configuration-4.7.5.jar",3,13,"" diff --git a/results/AxonFramework-4.7.5/overview-csv/Effective_Method_Line_Count.csv b/results/AxonFramework-4.7.5/overview-csv/Effective_Method_Line_Count.csv index 03f04113e..e61f88123 100644 --- a/results/AxonFramework-4.7.5/overview-csv/Effective_Method_Line_Count.csv +++ b/results/AxonFramework-4.7.5/overview-csv/Effective_Method_Line_Count.csv @@ -1,4 +1,4 @@ -"artifactName","effectiveLineCount","methods","Source Cypher File: Effective_Method_Line_Count_Distribution.cypher" +"artifactName","effectiveLineCount","methods","Source Cypher File: Overview/Effective_Method_Line_Count_Distribution.cypher" "axon-configuration-4.7.5.jar",1,304,"" "axon-configuration-4.7.5.jar",2,135,"" "axon-configuration-4.7.5.jar",3,33,"" diff --git a/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_package.csv b/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_package.csv index ddeb62c3e..93dea3297 100644 --- a/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_package.csv +++ b/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_package.csv @@ -1,6 +1,6 @@ -"artifactName","fullPackageName","linesInPackage","methodCount","maxLinesMethod","maxLinesMethodType","maxLinesMethodName","maxComplexity","maxComplexityType","maxComplexityMethod","packageName","Source Cypher File: Effective_lines_of_method_code_per_package.cypher" +"artifactName","fullPackageName","linesInPackage","methodCount","maxLinesMethod","maxLinesMethodType","maxLinesMethodName","maxComplexity","maxComplexityType","maxComplexityMethod","packageName","Source Cypher File: Overview/Effective_lines_of_method_code_per_package.cypher" 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"axon-messaging-4.7.5","org.axonframework.queryhandling.annotation",76,26,12,"MethodQueryMessageHandlerDefinition$MethodQueryMessageHandlingMember","",5,"MethodQueryMessageHandlerDefinition$MethodQueryMessageHandlingMember","canHandle","annotation","" "axon-messaging-4.7.5","org.axonframework.common.property",71,24,11,"AbstractMethodPropertyAccessStrategy","propertyFor",5,"MethodAccessedProperty","getValue","property","" -"axon-messaging-4.7.5","org.axonframework.lifecycle",70,25,7,"ShutdownLatch","initiateShutdown",4,"ShutdownLatch$ActivityHandle","end","lifecycle","" -"axon-messaging-4.7.5","org.axonframework.messaging.interceptors",67,21,14,"JSR303ViolationException","convert",4,"LoggingInterceptor","handle","interceptors","" +"axon-messaging-4.7.5","org.axonframework.lifecycle",70,25,7,"ShutdownLatch","initiateShutdown",4,"ShutdownLatch","registerActivity","lifecycle","" +"axon-messaging-4.7.5","org.axonframework.messaging.interceptors",67,21,14,"JSR303ViolationException","convert",4,"BeanValidationInterceptor","lambda$handle$0","interceptors","" "axon-messaging-4.7.5","org.axonframework.commandhandling.callbacks",60,16,9,"FutureCallback","awaitCompletion",4,"FutureCallback","getResult","callbacks","" "axon-messaging-4.7.5","org.axonframework.eventhandling.replay",58,31,7,"ReplayAwareMessageHandlerWrapper","wrapHandler",3,"GenericResetContext","asResetContext","replay","" "axon-messaging-4.7.5","org.axonframework.eventhandling.tokenstore.inmemory",52,19,6,"InMemoryTokenStore$ProcessAndSegment","equals",6,"InMemoryTokenStore$ProcessAndSegment","equals","inmemory","" -"axon-messaging-4.7.5","org.axonframework.eventhandling.gateway",46,25,5,"AbstractEventGateway","",3,"AbstractEventGateway$Builder","dispatchInterceptors","gateway","" +"axon-messaging-4.7.5","org.axonframework.eventhandling.gateway",46,25,5,"AbstractEventGateway","processInterceptors",3,"AbstractEventGateway$Builder","dispatchInterceptors","gateway","" "axon-messaging-4.7.5","org.axonframework.common.jpa",38,14,6,"PagingJpaQueryIterable$PagingIterator","lambda$refreshPageIfNecessary$0",3,"PagingJpaQueryIterable$PagingIterator","next","jpa","" "axon-messaging-4.7.5","org.axonframework.common.legacyjpa",38,14,6,"PagingJpaQueryIterable","",3,"PagingJpaQueryIterable$PagingIterator","next","legacyjpa","" "axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.snapshotting",37,20,5,"RevisionSnapshotFilter","test",3,"SnapshotFilter","lambda$combine$0","snapshotting","" -"axon-messaging-4.7.5","org.axonframework.monitoring",37,25,4,"MultiMessageMonitor","",1,"NoOpMessageMonitorCallback","reportFailure","monitoring","" +"axon-messaging-4.7.5","org.axonframework.monitoring",37,25,4,"MultiMessageMonitor","",1,"MultiMessageMonitor","","monitoring","" "axon-messaging-4.7.5","org.axonframework.serialization.converters",36,28,5,"InputStreamToByteArrayConverter","bytesFrom",3,"BlobToInputStreamConverter","convert","converters","" -"axon-messaging-4.7.5","org.axonframework.serialization.upcasting",35,16,5,"GenericUpcasterChain","upcast",2,"ContextAwareSingleEntryUpcaster","lambda$upcast$0","upcasting","" -"axon-modelling-4.7.5","org.axonframework.modelling.saga.metamodel",34,13,6,"AnnotationSagaMetaModelFactory$InspectedSagaModel","resolveAssociation",3,"AnnotationSagaMetaModelFactory$InspectedSagaModel","resolveAssociation","metamodel","" +"axon-messaging-4.7.5","org.axonframework.serialization.upcasting",35,16,5,"GenericUpcasterChain","upcast",2,"SingleEntryMultiUpcaster","lambda$upcast$0","upcasting","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga.metamodel",34,13,6,"AnnotationSagaMetaModelFactory$InspectedSagaModel","resolveAssociation",3,"AnnotationSagaMetaModelFactory$InspectedSagaModel","hasHandlerMethod","metamodel","" "axon-messaging-4.7.5","org.axonframework.messaging.correlation",33,9,8,"SimpleCorrelationDataProvider","correlationDataFor",4,"SimpleCorrelationDataProvider","correlationDataFor","correlation","" "axon-messaging-4.7.5","org.axonframework.util",33,10,8,"MavenArtifactVersionResolver","get",3,"HandlerTypeResolver","isHandlerOfType","util","" "axon-test-4.7.5","org.axonframework.test.utils",33,18,7,"RecordingCommandBus","dispatch",3,"RecordingCommandBus","isSubscribed","utils","" "axon-messaging-4.7.5","org.axonframework.messaging.interceptors.legacyvalidation",32,9,14,"JSR303ViolationException","convert",4,"BeanValidationInterceptor","lambda$handle$0","legacyvalidation","" "axon-messaging-4.7.5","org.axonframework.queryhandling.registration",29,15,5,"DuplicateQueryHandlerSubscriptionException","",2,"FailingDuplicateQueryHandlerResolver","resolve","registration","" "axon-messaging-4.7.5","org.axonframework.eventhandling.interceptors",28,6,14,"EventLoggingInterceptor","lambda$handle$1",6,"EventLoggingInterceptor","lambda$handle$1","interceptors","" -"axon-messaging-4.7.5","org.axonframework.common.transaction",26,11,8,"TransactionManager","executeInTransaction",1,"TransactionManager","fetchInTransaction","transaction","" +"axon-messaging-4.7.5","org.axonframework.common.transaction",26,11,8,"TransactionManager","executeInTransaction",1,"NoTransactionManager","startTransaction","transaction","" "axon-messaging-4.7.5","org.axonframework.tracing.attributes",26,14,5,"MessageNameSpanAttributesProvider","determineName",3,"MessageNameSpanAttributesProvider","determineName","attributes","" -"axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.inmemory",24,12,6,"InMemorySagaStore","findSagas",1,"InMemorySagaStore","","inmemory","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.inmemory",24,12,6,"InMemorySagaStore","findSagas",1,"InMemorySagaStore","updateSaga","inmemory","" "axon-messaging-4.7.5","org.axonframework.common.digest",21,8,7,"Digester","pad",3,"Digester","md5Hex","digest","" "axon-test-4.7.5","org.axonframework.test",20,9,5,"AxonAssertionError","cleanStackTrace",3,"AxonAssertionError","cleanStackTrace","test","" -"axon-messaging-4.7.5","org.axonframework.common.stream",17,8,6,"StreamUtils$1","tryAdvance",2,"BlockingStream","hasNextAvailable","stream","" +"axon-messaging-4.7.5","org.axonframework.common.stream",17,8,6,"StreamUtils$1","tryAdvance",2,"StreamUtils$1","tryAdvance","stream","" "axon-messaging-4.7.5","org.axonframework.deadline.annotation",17,9,3,"DeadlineMethodMessageHandlerDefinition","wrapHandler",4,"DeadlineMethodMessageHandlerDefinition$DeadlineMethodMessageHandlingMember","canHandle","annotation","" "axon-messaging-4.7.5","org.axonframework.common.io",11,4,5,"IOUtils","closeQuietly",3,"IOUtils","closeQuietly","io","" "axon-messaging-4.7.5","org.axonframework.eventhandling.scheduling",11,5,3,"EventScheduler","reschedule",2,"EventScheduler","reschedule","scheduling","" diff --git a/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_type.csv b/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_type.csv index 8bf344fe8..fa71230c7 100644 --- a/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_type.csv +++ b/results/AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_type.csv @@ -1,4 +1,4 @@ -"artifactName","packageName","typeName","sumEffectiveLinesOfMethodCode","maxEffectiveLinesOfMethodCode","methodWithMaxEffectiveLinesOfMethodCode","maxCyclomaticComplexity","methodWithMaxCyclomaticComplexity","Source Cypher File: Effective_lines_of_method_code_per_type.cypher" +"artifactName","packageName","typeName","sumEffectiveLinesOfMethodCode","maxEffectiveLinesOfMethodCode","methodWithMaxEffectiveLinesOfMethodCode","maxCyclomaticComplexity","methodWithMaxCyclomaticComplexity","Source Cypher File: Overview/Effective_lines_of_method_code_per_type.cypher" "axon-configuration-4.7.5","org.axonframework.config","EventProcessingModule",430,42,"",6,"noSagaProcessorCustomization","" "axon-messaging-4.7.5","org.axonframework.eventhandling","TrackingEventProcessor",368,64,"processBatch",21,"processBatch","" "axon-configuration-4.7.5","org.axonframework.config","DefaultConfigurer",366,40,"",7,"invokeLifecycleHandlers","" @@ -6,7 +6,7 @@ "axon-test-4.7.5","org.axonframework.test.aggregate","AggregateTestFixture",304,24,"",13,"ensureValuesEqual","" "axon-messaging-4.7.5","org.axonframework.queryhandling","SimpleQueryBus",236,36,"doQuery",11,"doQuery","" "axon-modelling-4.7.5","org.axonframework.modelling.command.inspection","AnnotatedAggregateMetaModelFactory$AnnotatedAggregateModel",231,26,"inspectFieldsAndMethods",9,"prepareHandlers","" -"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.jdbc","JdbcEventStorageEngine",229,24,"getTrackedEventData",7,"lambda$fetchTrackedEvents$32","" +"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.jdbc","JdbcEventStorageEngine",229,24,"getTrackedEventData",7,"lambda$cleanGaps$37","" "axon-messaging-4.7.5","org.axonframework.eventhandling.pooled","Coordinator$CoordinationTask",227,70,"run",21,"run","" "axon-test-4.7.5","org.axonframework.test.aggregate","Reporter",227,45,"appendEventOverview",11,"appendEventOverview","" "axon-messaging-4.7.5","org.axonframework.eventhandling.deadletter.legacyjpa","JpaSequencedDeadLetterQueue",216,19,"enqueue",6,"process","" @@ -16,29 +16,29 @@ "axon-messaging-4.7.5","org.axonframework.eventhandling.pooled","WorkPackage",157,23,"processEvents",7,"processEvents","" "axon-test-4.7.5","org.axonframework.test.saga","SagaTestFixture",156,28,"",5,"handleInSaga","" "axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.jpa","JpaEventStorageEngine",155,25,"fetchTrackedEvents",8,"fetchTrackedEvents","" -"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.legacyjpa","JpaEventStorageEngine",155,25,"fetchTrackedEvents",8,"withGapsCleaned","" +"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.legacyjpa","JpaEventStorageEngine",155,25,"fetchTrackedEvents",8,"fetchTrackedEvents","" "axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.jdbc","JdbcEventStorageEngine$Builder",150,23,"",2,"lambda$lowestGlobalSequence$0","" -"axon-modelling-4.7.5","org.axonframework.modelling.command.inspection","AnnotatedAggregate",149,16,"handle",5,"doApply","" +"axon-modelling-4.7.5","org.axonframework.modelling.command.inspection","AnnotatedAggregate",149,16,"handle",5,"doCreateNew","" "axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.jdbc","JdbcSagaStore",140,38,"updateSaga",8,"updateSaga","" "axon-messaging-4.7.5","org.axonframework.messaging.deadletter","InMemorySequencedDeadLetterQueue",137,33,"process",9,"process","" -"axon-messaging-4.7.5","org.axonframework.eventhandling.tokenstore.legacyjpa","JpaTokenStore",136,19,"storeToken",5,"validateSegment","" -"axon-messaging-4.7.5","org.axonframework.eventhandling.tokenstore.jpa","JpaTokenStore",133,19,"storeToken",5,"loadToken","" 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"axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.legacyjpa","JpaSagaStore",124,20,"updateSaga",6,"updateSaga","" "axon-messaging-4.7.5","org.axonframework.eventhandling","AbstractEventBus",123,24,"publish",6,"publish","" "axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.jpa","JpaSagaStore",122,20,"updateSaga",6,"updateSaga","" "axon-test-4.7.5","org.axonframework.test.saga","FixtureExecutionResultImpl",112,11,"",4,"lambda$expectNoScheduledDeadlineMatching$6","" -"axon-modelling-4.7.5","org.axonframework.modelling.command","AbstractRepository",111,11,"newInstance",5,"validateOnLoad","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","AbstractRepository",111,11,"newInstance",5,"lambda$loadOrCreate$9","" "axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.jdbc.statements","JdbcEventStorageEngineStatements",109,18,"appendEvents",2,"appendEvents","" "axon-messaging-4.7.5","org.axonframework.messaging.unitofwork","AbstractUnitOfWork",108,14,"getCorrelationData",5,"rollback","" "axon-messaging-4.7.5","org.axonframework.messaging.annotation","AnnotatedHandlerInspector",104,14,"initialize",4,"initialize","" -"axon-modelling-4.7.5","org.axonframework.modelling.command","AggregateAnnotationCommandHandler",102,17,"lambda$initializeHandler$7",6,"lambda$initializeHandler$7","" "axon-messaging-4.7.5","org.axonframework.eventhandling.pooled","Coordinator",102,23,"",6,"start","" -"axon-messaging-4.7.5","org.axonframework.eventhandling.pooled","PooledStreamingEventProcessor$Builder",94,10,"",1,"messageMonitor","" -"axon-messaging-4.7.5","org.axonframework.common.caching","WeakReferenceCache",92,13,"lambda$computeIfPresent$4",6,"put","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","AggregateAnnotationCommandHandler",102,17,"lambda$initializeHandler$7",6,"lambda$initializeHandler$7","" 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+"axon-modelling-4.7.5","org.axonframework.modelling.command","AggregateInvocationException",2,2,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","IdentifierMissingException",2,2,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","ForwardNone",2,1,"filterCandidates",1,"filterCandidates","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","ForwardToAll",2,1,"filterCandidates",1,"filterCandidates","" +"axon-modelling-4.7.5","org.axonframework.modelling.command.inspection","AggregateModellingException",2,2,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga","EndSagaMessageHandlerDefinition",2,1,"",2,"wrapHandler","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga","SagaInstantiationException",2,2,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga","SagaExecutionException",2,2,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga.repository","SagaCreationException",2,2,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga.repository.jpa","SerializedSaga",2,2,"",1,"","" "axon-disruptor-4.7.5","org.axonframework.disruptor.commandhandling","AggregateBlacklistedException",2,2,"",1,"","" +"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore","DomainEventStream$1",2,1,"",1,"","" "axon-test-4.7.5","org.axonframework.test","FixtureResourceParameterResolverFactory",2,1,"createInstance",1,"createInstance","" -"axon-test-4.7.5","org.axonframework.test.aggregate","StubAggregateLifecycleRule",2,1,"apply",1,"apply","" +"axon-test-4.7.5","org.axonframework.test.aggregate","StubAggregateLifecycleRule",2,1,"",1,"","" "axon-test-4.7.5","org.axonframework.test.saga","FixtureConfiguration",2,1,"suppressExceptionInGivenPhase",2,"registerEventHandlerInterceptor","" "axon-test-4.7.5","org.axonframework.test.utils","AutowiredResourceInjector",2,2,"",1,"","" "axon-test-4.7.5","org.axonframework.test.utils","DefaultCallbackBehavior",2,1,"",1,"","" -"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing","MultiStreamableMessageSource$Builder",1,1,"",1,"","" -"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing","SnapshotTriggerDefinition",1,1,"reconfigure",1,"reconfigure","" -"axon-modelling-4.7.5","org.axonframework.modelling.command","ForwardingMode",1,1,"initialize",1,"initialize","" -"axon-modelling-4.7.5","org.axonframework.modelling.command","LockAwareAggregate$LockSupplier",1,1,"acquire",1,"acquire","" -"axon-modelling-4.7.5","org.axonframework.modelling.command","Aggregate",1,1,"identifierAsString",1,"identifierAsString","" -"axon-modelling-4.7.5","org.axonframework.modelling.command","AggregateAnnotationCommandHandler$1",1,1,"",4,"","" -"axon-modelling-4.7.5","org.axonframework.modelling.command.inspection","AggregateMetaModelFactory",1,1,"createModel",1,"createModel","" -"axon-modelling-4.7.5","org.axonframework.modelling.saga.metamodel","SagaModel",1,1,"hasHandlerMethod",2,"hasHandlerMethod","" -"axon-configuration-4.7.5","org.axonframework.config","ConfigurerModule",1,1,"order",1,"order","" -"axon-messaging-4.7.5","org.axonframework.eventhandling","TrackingToken",1,1,"position",1,"position","" "axon-messaging-4.7.5","org.axonframework.eventhandling","EventProcessor",1,1,"shutdownAsync",1,"shutdownAsync","" +"axon-messaging-4.7.5","org.axonframework.eventhandling","TrackingToken",1,1,"position",1,"position","" "axon-messaging-4.7.5","org.axonframework.messaging","MessageDispatchInterceptor",1,1,"handle",1,"handle","" "axon-messaging-4.7.5","org.axonframework.messaging.annotation","MessageInterceptingMember",1,1,"priority",1,"priority","" "axon-messaging-4.7.5","org.axonframework.messaging.annotation","ParameterResolver",1,1,"supportedPayloadType",1,"supportedPayloadType","" -"axon-messaging-4.7.5","org.axonframework.messaging.deadletter","DeadLetter",1,1,"withDiagnostics",1,"withDiagnostics","" "axon-messaging-4.7.5","org.axonframework.messaging.deadletter","EnqueueDecision",1,1,"withDiagnostics",1,"withDiagnostics","" -"axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","EventMultiUpcaster",1,1,"",1,"","" +"axon-messaging-4.7.5","org.axonframework.messaging.deadletter","DeadLetter",1,1,"withDiagnostics",1,"withDiagnostics","" +"axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","SingleEventUpcaster",1,1,"",1,"","" "axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","ContextAwareEventMultiUpcaster",1,1,"",1,"","" +"axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","EventMultiUpcaster",1,1,"",1,"","" "axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","ContextAwareSingleEventUpcaster",1,1,"",1,"","" -"axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","SingleEventUpcaster",1,1,"",1,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","AggregateAnnotationCommandHandler$1",1,1,"",4,"","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","Aggregate",1,1,"identifierAsString",1,"identifierAsString","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","ForwardingMode",1,1,"initialize",1,"initialize","" +"axon-modelling-4.7.5","org.axonframework.modelling.command","LockAwareAggregate$LockSupplier",1,1,"acquire",1,"acquire","" +"axon-modelling-4.7.5","org.axonframework.modelling.command.inspection","AggregateMetaModelFactory",1,1,"createModel",1,"createModel","" +"axon-modelling-4.7.5","org.axonframework.modelling.saga.metamodel","SagaModel",1,1,"hasHandlerMethod",2,"hasHandlerMethod","" +"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing","SnapshotTriggerDefinition",1,1,"reconfigure",1,"reconfigure","" +"axon-eventsourcing-4.7.5","org.axonframework.eventsourcing","MultiStreamableMessageSource$Builder",1,1,"",1,"","" +"axon-configuration-4.7.5","org.axonframework.config","ConfigurerModule",1,1,"order",1,"order","" "axon-test-4.7.5","org.axonframework.test.aggregate","ResultValidator",1,1,"expectNoEvents",1,"expectNoEvents","" diff --git a/results/AxonFramework-4.7.5/overview-csv/Number_of_packages_per_artifact.csv b/results/AxonFramework-4.7.5/overview-csv/Number_of_packages_per_artifact.csv index 712b8b7d8..a46e2e322 100644 --- a/results/AxonFramework-4.7.5/overview-csv/Number_of_packages_per_artifact.csv +++ b/results/AxonFramework-4.7.5/overview-csv/Number_of_packages_per_artifact.csv @@ -1,7 +1,7 @@ -"artifactName","numberOfPackages","Source Cypher File: Number_of_packages_per_artifact.cypher" -"axon-eventsourcing-4.7.5",9,"" -"axon-modelling-4.7.5",10,"" -"axon-configuration-4.7.5",1,"" +"artifactName","numberOfPackages","Source Cypher File: Overview/Number_of_packages_per_artifact.cypher" "axon-messaging-4.7.5",61,"" +"axon-modelling-4.7.5",10,"" "axon-disruptor-4.7.5",1,"" +"axon-eventsourcing-4.7.5",9,"" +"axon-configuration-4.7.5",1,"" "axon-test-4.7.5",8,"" diff --git a/results/AxonFramework-4.7.5/overview-csv/Number_of_types_per_artifact.csv b/results/AxonFramework-4.7.5/overview-csv/Number_of_types_per_artifact.csv index 24a30f8bb..3cbf5a4aa 100644 --- a/results/AxonFramework-4.7.5/overview-csv/Number_of_types_per_artifact.csv +++ b/results/AxonFramework-4.7.5/overview-csv/Number_of_types_per_artifact.csv @@ -1,20 +1,20 @@ -"artifactName","languageElement","numberOfTypes","Source Cypher File: Number_of_types_per_artifact.cypher" -"axon-eventsourcing-4.7.5","Interface",31,"" -"axon-eventsourcing-4.7.5","Class",96,"" -"axon-eventsourcing-4.7.5","Annotation",1,"" -"axon-eventsourcing-4.7.5","Enum",2,"" -"axon-modelling-4.7.5","Class",108,"" +"artifactName","languageElement","numberOfTypes","Source Cypher File: Overview/Number_of_types_per_artifact.cypher" +"axon-messaging-4.7.5","Class",541,"" +"axon-messaging-4.7.5","Interface",143,"" +"axon-messaging-4.7.5","Enum",19,"" +"axon-messaging-4.7.5","Annotation",26,"" "axon-modelling-4.7.5","Interface",26,"" "axon-modelling-4.7.5","Annotation",12,"" +"axon-modelling-4.7.5","Class",108,"" "axon-modelling-4.7.5","Enum",3,"" -"axon-configuration-4.7.5","Class",22,"" +"axon-disruptor-4.7.5","Class",22,"" +"axon-eventsourcing-4.7.5","Class",96,"" +"axon-eventsourcing-4.7.5","Interface",31,"" +"axon-eventsourcing-4.7.5","Enum",2,"" +"axon-eventsourcing-4.7.5","Annotation",1,"" "axon-configuration-4.7.5","Interface",15,"" -"axon-configuration-4.7.5","Annotation",1,"" +"axon-configuration-4.7.5","Class",22,"" "axon-configuration-4.7.5","Enum",1,"" -"axon-messaging-4.7.5","Enum",19,"" -"axon-messaging-4.7.5","Class",541,"" -"axon-messaging-4.7.5","Interface",143,"" -"axon-messaging-4.7.5","Annotation",26,"" -"axon-disruptor-4.7.5","Class",22,"" +"axon-configuration-4.7.5","Annotation",1,"" "axon-test-4.7.5","Class",69,"" "axon-test-4.7.5","Interface",16,"" diff --git a/results/AxonFramework-4.7.5/overview/Overview.ipynb b/results/AxonFramework-4.7.5/overview/Overview.ipynb index d93d8c025..335086718 100644 --- a/results/AxonFramework-4.7.5/overview/Overview.ipynb +++ b/results/AxonFramework-4.7.5/overview/Overview.ipynb @@ -6,7 +6,7 @@ "id": "2f0eabc4", "metadata": {}, "source": [ - "# Overview of Java Artifacts with Neo4j\n", + "# Overview\n", "
\n", "\n", "### References\n", @@ -20,10 +20,10 @@ "id": "4191f259", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:46.137604Z", - "iopub.status.busy": "2023-06-28T21:12:46.136964Z", - "iopub.status.idle": "2023-06-28T21:12:46.938603Z", - "shell.execute_reply": "2023-06-28T21:12:46.937869Z" + "iopub.execute_input": "2023-08-02T12:49:51.427182Z", + "iopub.status.busy": "2023-08-02T12:49:51.426810Z", + "iopub.status.idle": "2023-08-02T12:49:51.887822Z", + "shell.execute_reply": "2023-08-02T12:49:51.887497Z" } }, "outputs": [], @@ -40,10 +40,10 @@ "id": "1c5dab37", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:46.942915Z", - "iopub.status.busy": "2023-06-28T21:12:46.942410Z", - "iopub.status.idle": "2023-06-28T21:12:47.050995Z", - "shell.execute_reply": "2023-06-28T21:12:47.050346Z" + "iopub.execute_input": "2023-08-02T12:49:51.889530Z", + "iopub.status.busy": "2023-08-02T12:49:51.889404Z", + "iopub.status.idle": "2023-08-02T12:49:51.936572Z", + "shell.execute_reply": "2023-08-02T12:49:51.936254Z" } }, "outputs": [], @@ -60,10 +60,10 @@ "id": "c1db254b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.055020Z", - "iopub.status.busy": "2023-06-28T21:12:47.054553Z", - "iopub.status.idle": "2023-06-28T21:12:47.059321Z", - "shell.execute_reply": "2023-06-28T21:12:47.058745Z" + "iopub.execute_input": "2023-08-02T12:49:51.938092Z", + "iopub.status.busy": "2023-08-02T12:49:51.938009Z", + "iopub.status.idle": "2023-08-02T12:49:51.939785Z", + "shell.execute_reply": "2023-08-02T12:49:51.939540Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "59310f6f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.062380Z", - "iopub.status.busy": "2023-06-28T21:12:47.061958Z", - "iopub.status.idle": "2023-06-28T21:12:47.065280Z", - "shell.execute_reply": "2023-06-28T21:12:47.064653Z" + "iopub.execute_input": "2023-08-02T12:49:51.941089Z", + "iopub.status.busy": "2023-08-02T12:49:51.941014Z", + "iopub.status.idle": "2023-08-02T12:49:51.942677Z", + "shell.execute_reply": "2023-08-02T12:49:51.942460Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "da9e8edb", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.068472Z", - "iopub.status.busy": "2023-06-28T21:12:47.068133Z", - "iopub.status.idle": "2023-06-28T21:12:47.071041Z", - "shell.execute_reply": "2023-06-28T21:12:47.070409Z" + "iopub.execute_input": "2023-08-02T12:49:51.943909Z", + "iopub.status.busy": "2023-08-02T12:49:51.943841Z", + "iopub.status.idle": "2023-08-02T12:49:51.945190Z", + "shell.execute_reply": "2023-08-02T12:49:51.944954Z" } }, "outputs": [], @@ -115,10 +115,10 @@ "id": "9deaabce", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.074178Z", - "iopub.status.busy": "2023-06-28T21:12:47.073838Z", - "iopub.status.idle": "2023-06-28T21:12:47.086908Z", - "shell.execute_reply": "2023-06-28T21:12:47.086260Z" + "iopub.execute_input": "2023-08-02T12:49:51.946467Z", + "iopub.status.busy": "2023-08-02T12:49:51.946392Z", + "iopub.status.idle": "2023-08-02T12:49:51.949366Z", + "shell.execute_reply": "2023-08-02T12:49:51.949156Z" } }, "outputs": [ @@ -162,10 +162,10 @@ "id": "c2496caf", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.090278Z", - "iopub.status.busy": "2023-06-28T21:12:47.090060Z", - "iopub.status.idle": "2023-06-28T21:12:47.092950Z", - "shell.execute_reply": "2023-06-28T21:12:47.092322Z" + "iopub.execute_input": "2023-08-02T12:49:51.950614Z", + "iopub.status.busy": "2023-08-02T12:49:51.950542Z", + "iopub.status.idle": "2023-08-02T12:49:51.952169Z", + "shell.execute_reply": "2023-08-02T12:49:51.951933Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "dc682db6", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.095802Z", - "iopub.status.busy": "2023-06-28T21:12:47.095587Z", - "iopub.status.idle": "2023-06-28T21:12:47.138500Z", - "shell.execute_reply": "2023-06-28T21:12:47.137778Z" + "iopub.execute_input": "2023-08-02T12:49:51.953566Z", + "iopub.status.busy": "2023-08-02T12:49:51.953494Z", + "iopub.status.idle": "2023-08-02T12:49:51.970783Z", + "shell.execute_reply": "2023-08-02T12:49:51.970533Z" } }, "outputs": [ @@ -234,45 +234,45 @@ " \n", " \n", " 0\n", - " axon-eventsourcing-4.7.5\n", - " Interface\n", - " 31\n", + " axon-messaging-4.7.5\n", + " Class\n", + " 541\n", " \n", " \n", " 1\n", - " axon-eventsourcing-4.7.5\n", - " Class\n", - " 96\n", + " axon-messaging-4.7.5\n", + " Interface\n", + " 143\n", " \n", " \n", " 2\n", - " axon-eventsourcing-4.7.5\n", - " Annotation\n", - " 1\n", + " axon-messaging-4.7.5\n", + " Enum\n", + " 19\n", " \n", " \n", " 3\n", - " axon-eventsourcing-4.7.5\n", - " Enum\n", - " 2\n", + " axon-messaging-4.7.5\n", + " Annotation\n", + " 26\n", " \n", " \n", " 4\n", " axon-modelling-4.7.5\n", - " Class\n", - " 108\n", + " Interface\n", + " 26\n", " \n", " \n", " 5\n", " axon-modelling-4.7.5\n", - " Interface\n", - " 26\n", + " Annotation\n", + " 12\n", " \n", " \n", " 6\n", " axon-modelling-4.7.5\n", - " Annotation\n", - " 12\n", + " Class\n", + " 108\n", " \n", " \n", " 7\n", @@ -282,57 +282,57 @@ " \n", " \n", " 8\n", - " axon-configuration-4.7.5\n", + " axon-disruptor-4.7.5\n", " Class\n", " 22\n", " \n", " \n", " 9\n", - " axon-configuration-4.7.5\n", - " Interface\n", - " 15\n", + " axon-eventsourcing-4.7.5\n", + " Class\n", + " 96\n", " \n", " \n", " 10\n", - " axon-configuration-4.7.5\n", - " Annotation\n", - " 1\n", + " axon-eventsourcing-4.7.5\n", + " Interface\n", + " 31\n", " \n", " \n", " 11\n", - " axon-configuration-4.7.5\n", + " axon-eventsourcing-4.7.5\n", " Enum\n", - " 1\n", + " 2\n", " \n", " \n", " 12\n", - " axon-messaging-4.7.5\n", - " Enum\n", - " 19\n", + " axon-eventsourcing-4.7.5\n", + " Annotation\n", + " 1\n", " \n", " \n", " 13\n", - " axon-messaging-4.7.5\n", - " Class\n", - " 541\n", + " axon-configuration-4.7.5\n", + " Interface\n", + " 15\n", " \n", " \n", " 14\n", - " axon-messaging-4.7.5\n", - " Interface\n", - " 143\n", + " axon-configuration-4.7.5\n", + " Class\n", + " 22\n", " \n", " \n", " 15\n", - " axon-messaging-4.7.5\n", - " Annotation\n", - " 26\n", + " axon-configuration-4.7.5\n", + " Enum\n", + " 1\n", " \n", " \n", " 16\n", - " axon-disruptor-4.7.5\n", - " Class\n", - " 22\n", + " axon-configuration-4.7.5\n", + " Annotation\n", + " 1\n", " \n", " \n", " 17\n", @@ -352,23 +352,23 @@ ], "text/plain": [ " artifactName languageElement numberOfTypes\n", - "0 axon-eventsourcing-4.7.5 Interface 31\n", - "1 axon-eventsourcing-4.7.5 Class 96\n", - "2 axon-eventsourcing-4.7.5 Annotation 1\n", - "3 axon-eventsourcing-4.7.5 Enum 2\n", - "4 axon-modelling-4.7.5 Class 108\n", - "5 axon-modelling-4.7.5 Interface 26\n", - "6 axon-modelling-4.7.5 Annotation 12\n", + "0 axon-messaging-4.7.5 Class 541\n", + "1 axon-messaging-4.7.5 Interface 143\n", + "2 axon-messaging-4.7.5 Enum 19\n", + "3 axon-messaging-4.7.5 Annotation 26\n", + "4 axon-modelling-4.7.5 Interface 26\n", + "5 axon-modelling-4.7.5 Annotation 12\n", + "6 axon-modelling-4.7.5 Class 108\n", "7 axon-modelling-4.7.5 Enum 3\n", - "8 axon-configuration-4.7.5 Class 22\n", - "9 axon-configuration-4.7.5 Interface 15\n", - "10 axon-configuration-4.7.5 Annotation 1\n", - "11 axon-configuration-4.7.5 Enum 1\n", - "12 axon-messaging-4.7.5 Enum 19\n", - "13 axon-messaging-4.7.5 Class 541\n", - "14 axon-messaging-4.7.5 Interface 143\n", - "15 axon-messaging-4.7.5 Annotation 26\n", - "16 axon-disruptor-4.7.5 Class 22\n", + "8 axon-disruptor-4.7.5 Class 22\n", + "9 axon-eventsourcing-4.7.5 Class 96\n", + "10 axon-eventsourcing-4.7.5 Interface 31\n", + "11 axon-eventsourcing-4.7.5 Enum 2\n", + "12 axon-eventsourcing-4.7.5 Annotation 1\n", + "13 axon-configuration-4.7.5 Interface 15\n", + "14 axon-configuration-4.7.5 Class 22\n", + "15 axon-configuration-4.7.5 Enum 1\n", + "16 axon-configuration-4.7.5 Annotation 1\n", "17 axon-test-4.7.5 Class 69\n", "18 axon-test-4.7.5 Interface 16" ] @@ -398,10 +398,10 @@ "id": "390c40f5", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.142099Z", - "iopub.status.busy": "2023-06-28T21:12:47.141860Z", - "iopub.status.idle": "2023-06-28T21:12:47.162604Z", - "shell.execute_reply": "2023-06-28T21:12:47.162104Z" + "iopub.execute_input": "2023-08-02T12:49:51.972246Z", + "iopub.status.busy": "2023-08-02T12:49:51.972168Z", + "iopub.status.idle": "2023-08-02T12:49:51.980465Z", + "shell.execute_reply": "2023-08-02T12:49:51.980210Z" } }, "outputs": [ @@ -535,10 +535,10 @@ "id": "982df680", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.166951Z", - "iopub.status.busy": "2023-06-28T21:12:47.165902Z", - "iopub.status.idle": "2023-06-28T21:12:47.434912Z", - "shell.execute_reply": "2023-06-28T21:12:47.434358Z" + "iopub.execute_input": "2023-08-02T12:49:51.981799Z", + "iopub.status.busy": "2023-08-02T12:49:51.981710Z", + "iopub.status.idle": "2023-08-02T12:49:52.069950Z", + "shell.execute_reply": "2023-08-02T12:49:52.069702Z" } }, "outputs": [ @@ -553,7 +553,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -581,10 +581,10 @@ "id": "ec514eba", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.439560Z", - "iopub.status.busy": "2023-06-28T21:12:47.438379Z", - "iopub.status.idle": "2023-06-28T21:12:47.442896Z", - "shell.execute_reply": "2023-06-28T21:12:47.442421Z" + "iopub.execute_input": "2023-08-02T12:49:52.071324Z", + "iopub.status.busy": "2023-08-02T12:49:52.071244Z", + "iopub.status.idle": "2023-08-02T12:49:52.072893Z", + "shell.execute_reply": "2023-08-02T12:49:52.072656Z" } }, "outputs": [], @@ -628,10 +628,10 @@ "id": "ed887815", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.447236Z", - "iopub.status.busy": "2023-06-28T21:12:47.446158Z", - "iopub.status.idle": "2023-06-28T21:12:47.458046Z", - "shell.execute_reply": "2023-06-28T21:12:47.457513Z" + "iopub.execute_input": "2023-08-02T12:49:52.074200Z", + "iopub.status.busy": "2023-08-02T12:49:52.074127Z", + "iopub.status.idle": "2023-08-02T12:49:52.078017Z", + "shell.execute_reply": "2023-08-02T12:49:52.077797Z" } }, "outputs": [ @@ -745,10 +745,10 @@ "id": "a0e1b7bc", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.462262Z", - "iopub.status.busy": "2023-06-28T21:12:47.461181Z", - "iopub.status.idle": "2023-06-28T21:12:47.679248Z", - "shell.execute_reply": "2023-06-28T21:12:47.678239Z" + "iopub.execute_input": "2023-08-02T12:49:52.079324Z", + "iopub.status.busy": "2023-08-02T12:49:52.079251Z", + "iopub.status.idle": "2023-08-02T12:49:52.152832Z", + "shell.execute_reply": "2023-08-02T12:49:52.152586Z" } }, "outputs": [ @@ -763,7 +763,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -800,10 +800,10 @@ "id": "969a5e0c", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.682633Z", - "iopub.status.busy": "2023-06-28T21:12:47.682402Z", - "iopub.status.idle": "2023-06-28T21:12:47.717572Z", - "shell.execute_reply": "2023-06-28T21:12:47.716831Z" + "iopub.execute_input": "2023-08-02T12:49:52.154279Z", + "iopub.status.busy": "2023-08-02T12:49:52.154198Z", + "iopub.status.idle": "2023-08-02T12:49:52.164683Z", + "shell.execute_reply": "2023-08-02T12:49:52.164415Z" } }, "outputs": [ @@ -853,11 +853,11 @@ " 8\n", " \n", " \n", - " axon-configuration-4.7.5\n", + " axon-disruptor-4.7.5\n", " 1\n", " \n", " \n", - " axon-disruptor-4.7.5\n", + " axon-configuration-4.7.5\n", " 1\n", " \n", " \n", @@ -871,8 +871,8 @@ "axon-modelling-4.7.5 10\n", "axon-eventsourcing-4.7.5 9\n", "axon-test-4.7.5 8\n", - "axon-configuration-4.7.5 1\n", - "axon-disruptor-4.7.5 1" + "axon-disruptor-4.7.5 1\n", + "axon-configuration-4.7.5 1" ] }, "execution_count": 14, @@ -898,10 +898,10 @@ "id": "81250096", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.720693Z", - "iopub.status.busy": "2023-06-28T21:12:47.720462Z", - "iopub.status.idle": "2023-06-28T21:12:47.911765Z", - "shell.execute_reply": "2023-06-28T21:12:47.911151Z" + "iopub.execute_input": "2023-08-02T12:49:52.166229Z", + "iopub.status.busy": "2023-08-02T12:49:52.166125Z", + "iopub.status.idle": "2023-08-02T12:49:52.229856Z", + "shell.execute_reply": "2023-08-02T12:49:52.229609Z" } }, "outputs": [ @@ -916,7 +916,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -958,10 +958,10 @@ "id": "f6dfbcb7", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:47.915343Z", - "iopub.status.busy": "2023-06-28T21:12:47.915114Z", - "iopub.status.idle": "2023-06-28T21:12:48.000495Z", - "shell.execute_reply": "2023-06-28T21:12:47.999961Z" + "iopub.execute_input": "2023-08-02T12:49:52.231305Z", + "iopub.status.busy": "2023-08-02T12:49:52.231230Z", + "iopub.status.idle": "2023-08-02T12:49:52.252410Z", + "shell.execute_reply": "2023-08-02T12:49:52.252135Z" } }, "outputs": [ @@ -1175,10 +1175,10 @@ "id": "3b389bbc", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.004410Z", - "iopub.status.busy": "2023-06-28T21:12:48.003902Z", - "iopub.status.idle": "2023-06-28T21:12:48.017751Z", - "shell.execute_reply": "2023-06-28T21:12:48.017241Z" + "iopub.execute_input": "2023-08-02T12:49:52.253906Z", + "iopub.status.busy": "2023-08-02T12:49:52.253811Z", + "iopub.status.idle": "2023-08-02T12:49:52.259019Z", + "shell.execute_reply": "2023-08-02T12:49:52.258755Z" } }, "outputs": [ @@ -1373,10 +1373,10 @@ "id": "6a1ae2c3", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.022088Z", - "iopub.status.busy": "2023-06-28T21:12:48.020782Z", - "iopub.status.idle": "2023-06-28T21:12:48.301644Z", - "shell.execute_reply": "2023-06-28T21:12:48.300849Z" + "iopub.execute_input": "2023-08-02T12:49:52.260471Z", + "iopub.status.busy": "2023-08-02T12:49:52.260372Z", + "iopub.status.idle": "2023-08-02T12:49:52.353689Z", + "shell.execute_reply": "2023-08-02T12:49:52.353438Z" } }, "outputs": [ @@ -1391,7 +1391,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -1436,10 +1436,10 @@ "id": "cf989acc", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.305635Z", - "iopub.status.busy": "2023-06-28T21:12:48.304942Z", - "iopub.status.idle": "2023-06-28T21:12:48.366255Z", - "shell.execute_reply": "2023-06-28T21:12:48.365578Z" + "iopub.execute_input": "2023-08-02T12:49:52.355171Z", + "iopub.status.busy": "2023-08-02T12:49:52.355096Z", + "iopub.status.idle": "2023-08-02T12:49:52.377694Z", + "shell.execute_reply": "2023-08-02T12:49:52.377400Z" } }, "outputs": [ @@ -1653,10 +1653,10 @@ "id": "7aff1d2f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.369464Z", - "iopub.status.busy": "2023-06-28T21:12:48.369082Z", - "iopub.status.idle": "2023-06-28T21:12:48.383086Z", - "shell.execute_reply": "2023-06-28T21:12:48.382545Z" + "iopub.execute_input": "2023-08-02T12:49:52.379447Z", + "iopub.status.busy": "2023-08-02T12:49:52.379320Z", + "iopub.status.idle": "2023-08-02T12:49:52.384511Z", + "shell.execute_reply": "2023-08-02T12:49:52.384264Z" } }, "outputs": [ @@ -1851,10 +1851,10 @@ "id": "f4e40ede", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.387299Z", - "iopub.status.busy": "2023-06-28T21:12:48.386257Z", - "iopub.status.idle": "2023-06-28T21:12:48.869929Z", - "shell.execute_reply": "2023-06-28T21:12:48.869032Z" + "iopub.execute_input": "2023-08-02T12:49:52.385880Z", + "iopub.status.busy": "2023-08-02T12:49:52.385799Z", + "iopub.status.idle": "2023-08-02T12:49:52.505296Z", + "shell.execute_reply": "2023-08-02T12:49:52.505040Z" } }, "outputs": [ @@ -1869,7 +1869,7 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] @@ -1916,10 +1916,10 @@ "id": "101091d9", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.873949Z", - "iopub.status.busy": "2023-06-28T21:12:48.873279Z", - "iopub.status.idle": "2023-06-28T21:12:48.994628Z", - "shell.execute_reply": "2023-06-28T21:12:48.994106Z" + "iopub.execute_input": "2023-08-02T12:49:52.506739Z", + "iopub.status.busy": "2023-08-02T12:49:52.506639Z", + "iopub.status.idle": "2023-08-02T12:49:52.543271Z", + "shell.execute_reply": "2023-08-02T12:49:52.543008Z" } }, "outputs": [ @@ -2101,10 +2101,10 @@ "id": "b81bc7ca", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:48.998976Z", - "iopub.status.busy": "2023-06-28T21:12:48.997894Z", - "iopub.status.idle": "2023-06-28T21:12:49.010424Z", - "shell.execute_reply": "2023-06-28T21:12:49.009927Z" + "iopub.execute_input": "2023-08-02T12:49:52.544809Z", + "iopub.status.busy": "2023-08-02T12:49:52.544731Z", + "iopub.status.idle": "2023-08-02T12:49:52.549119Z", + "shell.execute_reply": "2023-08-02T12:49:52.548889Z" } }, "outputs": [ @@ -2278,10 +2278,10 @@ "id": "5e000945", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:12:49.014741Z", - "iopub.status.busy": "2023-06-28T21:12:49.013680Z", - "iopub.status.idle": "2023-06-28T21:12:49.025941Z", - "shell.execute_reply": "2023-06-28T21:12:49.025457Z" + "iopub.execute_input": "2023-08-02T12:49:52.550623Z", + "iopub.status.busy": "2023-08-02T12:49:52.550542Z", + "iopub.status.idle": "2023-08-02T12:49:52.555110Z", + "shell.execute_reply": "2023-08-02T12:49:52.554868Z" } }, "outputs": [ @@ -2486,7 +2486,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.4" }, "title": "Object Oriented Design Quality Metrics for Java with Neo4j" }, diff --git a/results/AxonFramework-4.7.5/overview/Overview.md b/results/AxonFramework-4.7.5/overview/Overview.md index 43861943d..14fc02029 100644 --- a/results/AxonFramework-4.7.5/overview/Overview.md +++ b/results/AxonFramework-4.7.5/overview/Overview.md @@ -1,4 +1,4 @@ -# Overview of Java Artifacts with Neo4j +# Overview
### References @@ -29,45 +29,45 @@ 0 - axon-eventsourcing-4.7.5 - Interface - 31 + axon-messaging-4.7.5 + Class + 541 1 - axon-eventsourcing-4.7.5 - Class - 96 + axon-messaging-4.7.5 + Interface + 143 2 - axon-eventsourcing-4.7.5 - Annotation - 1 + axon-messaging-4.7.5 + Enum + 19 3 - axon-eventsourcing-4.7.5 - Enum - 2 + axon-messaging-4.7.5 + Annotation + 26 4 axon-modelling-4.7.5 - Class - 108 + Interface + 26 5 axon-modelling-4.7.5 - Interface - 26 + Annotation + 12 6 axon-modelling-4.7.5 - Annotation - 12 + Class + 108 7 @@ -77,57 +77,57 @@ 8 - axon-configuration-4.7.5 + axon-disruptor-4.7.5 Class 22 9 - axon-configuration-4.7.5 - Interface - 15 + axon-eventsourcing-4.7.5 + Class + 96 10 - axon-configuration-4.7.5 - Annotation - 1 + axon-eventsourcing-4.7.5 + Interface + 31 11 - axon-configuration-4.7.5 + axon-eventsourcing-4.7.5 Enum - 1 + 2 12 - axon-messaging-4.7.5 - Enum - 19 + axon-eventsourcing-4.7.5 + Annotation + 1 13 - axon-messaging-4.7.5 - Class - 541 + axon-configuration-4.7.5 + Interface + 15 14 - axon-messaging-4.7.5 - Interface - 143 + axon-configuration-4.7.5 + Class + 22 15 - axon-messaging-4.7.5 - Annotation - 26 + axon-configuration-4.7.5 + Enum + 1 16 - axon-disruptor-4.7.5 - Class - 22 + axon-configuration-4.7.5 + Annotation + 1 17 @@ -346,11 +346,11 @@ 8 - axon-configuration-4.7.5 + axon-disruptor-4.7.5 1 - axon-disruptor-4.7.5 + axon-configuration-4.7.5 1 diff --git a/results/AxonFramework-4.7.5/overview/Overview.pdf b/results/AxonFramework-4.7.5/overview/Overview.pdf index 218a38e54445a9e250820cd18c7c9ca347315b66..555f28c4e2bb32661377e0f90a45640e5e47610e 100644 GIT binary patch delta 226872 zcmZs?WmFt(6efrScL)+(0s(@%ySoGlu8q5E6I_G4Ly+LmxVt+9Xf(KlpuuhGo0;7+ zJ7@cF_(4}!)m!hqkKN{O4EsKaIKhC4kBx(!gPV<=<1-uEC*X$xl~vivLdw+Ll9FCZ zfP;;LlkNXKBr%d7%*oEjE+Rtd=I&}~>VWE<^Vi^OJZTF~V7~F(4D9^Q*N?CRLAUd6 z!3bCI??=R8KGa>mefx3=y5a6HviY=<#?+>@R`v8*+r`&cTVT*Qxpxbk+W~GbD6QRM z=`sF+59u|YSJ^1hIM!1pepAr_Kf6AR7?*B2$K}z!=2#E5fM4u#38NG7US6Nl84RB< 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+"similarity","package1.fqn","package2.fqn","artifactName1","package1.name","package1.incomingDependencies","package1.outgoingDependencies","artifactName2","package2.name","package2.incomingDependencies","package2.outgoingDependencies","Source Cypher File: Similarity/Similarity_4_Stream.cypher" 1,"org.axonframework.common.annotation","org.axonframework.common.property","axon-messaging-4.7.5","annotation",22,3,"axon-messaging-4.7.5","property",23,15,"" 1,"org.axonframework.common.jpa","org.axonframework.common.legacyjpa","axon-messaging-4.7.5","jpa",16,6,"axon-messaging-4.7.5","legacyjpa",14,6,"" 1,"org.axonframework.common.legacyjpa","org.axonframework.common.jpa","axon-messaging-4.7.5","legacyjpa",14,6,"axon-messaging-4.7.5","jpa",16,6,"" @@ -29,8 +29,8 @@ 0.625,"org.axonframework.lifecycle","org.axonframework.common.caching","axon-messaging-4.7.5","lifecycle",62,10,"axon-messaging-4.7.5","caching",30,40,"" 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0.07975460122699386,"org.axonframework.modelling.saga.repository.jdbc","org.axonframework.eventhandling.scheduling.quartz","axon-modelling-4.7.5","jdbc",13,133,"axon-messaging-4.7.5","quartz",10,202,"" 0.07958477508650519,"org.axonframework.eventhandling","org.axonframework.eventhandling.pooled","axon-messaging-4.7.5","eventhandling",4409,1557,"axon-messaging-4.7.5","pooled",52,1022,"" 0.07908163265306123,"org.axonframework.eventhandling","org.axonframework.messaging.annotation","axon-messaging-4.7.5","eventhandling",4409,1557,"axon-messaging-4.7.5","annotation",1050,301,"" -0.07901907356948229,"org.axonframework.eventhandling","org.axonframework.deadline","axon-messaging-4.7.5","eventhandling",4409,1557,"axon-messaging-4.7.5","deadline",165,347,"" 0.07741935483870968,"org.axonframework.modelling.saga.repository.jdbc","org.axonframework.messaging","axon-modelling-4.7.5","jdbc",13,133,"axon-messaging-4.7.5","messaging",8507,133,"" 0.07692307692307693,"org.axonframework.serialization.converters","org.axonframework.modelling.saga.repository.legacyjpa","axon-messaging-4.7.5","converters",0,7,"axon-modelling-4.7.5","legacyjpa",3,81,"" 0.07692307692307693,"org.axonframework.queryhandling.registration","org.axonframework.common.digest","axon-messaging-4.7.5","registration",9,13,"axon-messaging-4.7.5","digest",1,1,"" @@ -815,7 +821,6 @@ 0.07627118644067797,"org.axonframework.commandhandling","org.axonframework.deadline.annotation","axon-messaging-4.7.5","commandhandling",1539,642,"axon-messaging-4.7.5","annotation",6,29,"" 0.07531380753138076,"org.axonframework.commandhandling.callbacks","org.axonframework.modelling.command.inspection","axon-messaging-4.7.5","callbacks",8,39,"axon-modelling-4.7.5","inspection",84,781,"" 0.07476635514018691,"org.axonframework.eventsourcing.eventstore.jdbc.statements","org.axonframework.test.eventscheduler","axon-eventsourcing-4.7.5","statements",30,80,"axon-test-4.7.5","eventscheduler",9,38,"" -0.07466666666666667,"org.axonframework.eventhandling","org.axonframework.serialization","axon-messaging-4.7.5","eventhandling",4409,1557,"axon-messaging-4.7.5","serialization",1078,176,"" 0.07462686567164178,"org.axonframework.serialization.converters","org.axonframework.serialization.upcasting.event","axon-messaging-4.7.5","converters",0,7,"axon-messaging-4.7.5","event",38,188,"" 0.07462686567164178,"org.axonframework.eventsourcing.eventstore.jdbc.statements","org.axonframework.eventsourcing.eventstore.jpa","axon-eventsourcing-4.7.5","statements",30,80,"axon-eventsourcing-4.7.5","jpa",9,236,"" 0.07407407407407407,"org.axonframework.queryhandling.registration","org.axonframework.messaging.interceptors.legacyvalidation","axon-messaging-4.7.5","registration",9,13,"axon-messaging-4.7.5","legacyvalidation",1,27,"" @@ -825,15 +830,15 @@ 0.06906906906906907,"org.axonframework.commandhandling","org.axonframework.modelling.command.inspection","axon-messaging-4.7.5","commandhandling",1539,642,"axon-modelling-4.7.5","inspection",84,781,"" 0.06896551724137931,"org.axonframework.queryhandling.registration","org.axonframework.lifecycle","axon-messaging-4.7.5","registration",9,13,"axon-messaging-4.7.5","lifecycle",62,10,"" 0.06896551724137931,"org.axonframework.queryhandling.registration","org.axonframework.common.lock","axon-messaging-4.7.5","registration",9,13,"axon-messaging-4.7.5","lock",46,25,"" -0.06766917293233082,"org.axonframework.deadline.annotation","org.axonframework.modelling.saga","axon-messaging-4.7.5","annotation",6,29,"axon-modelling-4.7.5","saga",242,386,"" 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0.06666666666666667,"org.axonframework.modelling","org.axonframework.modelling.saga.repository.inmemory","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","inmemory",5,15,"" -0.06666666666666667,"org.axonframework.modelling.saga.repository","org.axonframework.common.jdbc","axon-modelling-4.7.5","repository",72,199,"axon-messaging-4.7.5","jdbc",49,41,"" 0.06497175141242938,"org.axonframework.commandhandling","org.axonframework.disruptor.commandhandling","axon-messaging-4.7.5","commandhandling",1539,642,"axon-disruptor-4.7.5","commandhandling",55,1487,"" -0.06435643564356436,"org.axonframework.modelling.saga.repository","org.axonframework.test.saga","axon-modelling-4.7.5","repository",72,199,"axon-test-4.7.5","saga",43,1375,"" +0.06403940886699508,"org.axonframework.commandhandling","org.axonframework.deadline.quartz","axon-messaging-4.7.5","commandhandling",1539,642,"axon-messaging-4.7.5","quartz",5,481,"" +0.06043956043956044,"org.axonframework.commandhandling","org.axonframework.deadline.jobrunr","axon-messaging-4.7.5","commandhandling",1539,642,"axon-messaging-4.7.5","jobrunr",3,348,"" 0.05263157894736842,"org.axonframework.modelling","org.axonframework.test.utils","axon-modelling-4.7.5","modelling",0,0,"axon-test-4.7.5","utils",8,70,"" 0.051094890510948905,"org.axonframework.modelling.saga.repository.inmemory","org.axonframework.test.saga","axon-modelling-4.7.5","inmemory",5,15,"axon-test-4.7.5","saga",43,1375,"" 0.05,"org.axonframework.deadline.annotation","org.axonframework","axon-messaging-4.7.5","annotation",6,29,"axon-messaging-4.7.5","axonframework",0,0,"" @@ -841,15 +846,10 @@ 0.047619047619047616,"org.axonframework.modelling","org.axonframework.eventsourcing.conflictresolution","axon-modelling-4.7.5","modelling",0,0,"axon-eventsourcing-4.7.5","conflictresolution",15,99,"" 0.045454545454545456,"org.axonframework.deadline.annotation","org.axonframework.test","axon-messaging-4.7.5","annotation",6,29,"axon-test-4.7.5","test",16,13,"" 0.045454545454545456,"org.axonframework.modelling","org.axonframework.modelling.saga.metamodel","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","metamodel",15,53,"" -0.043478260869565216,"org.axonframework.modelling.saga.repository","org.axonframework.eventhandling.interceptors","axon-modelling-4.7.5","repository",72,199,"axon-messaging-4.7.5","interceptors",0,28,"" 0.041666666666666664,"org.axonframework.commandhandling.callbacks","org.axonframework.util","axon-messaging-4.7.5","callbacks",8,39,"axon-messaging-4.7.5","util",3,6,"" -0.041176470588235294,"org.axonframework.modelling.saga.repository","org.axonframework.modelling.saga.metamodel","axon-modelling-4.7.5","repository",72,199,"axon-modelling-4.7.5","metamodel",15,53,"" -0.04032258064516129,"org.axonframework.modelling.saga.repository","org.axonframework.config","axon-modelling-4.7.5","repository",72,199,"axon-configuration-4.7.5","config",115,7942,"" 0.04,"org.axonframework.commandhandling.callbacks","org.axonframework.tracing.attributes","axon-messaging-4.7.5","callbacks",8,39,"axon-messaging-4.7.5","attributes",0,43,"" 0.038461538461538464,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.util","axon-messaging-4.7.5","commandfilter",12,34,"axon-messaging-4.7.5","util",3,6,"" 0.037037037037037035,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.tracing.attributes","axon-messaging-4.7.5","commandfilter",12,34,"axon-messaging-4.7.5","attributes",0,43,"" -0.03597122302158273,"org.axonframework.modelling.saga.repository","org.axonframework.modelling.saga","axon-modelling-4.7.5","repository",72,199,"axon-modelling-4.7.5","saga",242,386,"" -0.03571428571428571,"org.axonframework.commandhandling.callbacks","org.axonframework","axon-messaging-4.7.5","callbacks",8,39,"axon-messaging-4.7.5","axonframework",0,0,"" 0.03333333333333333,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework","axon-messaging-4.7.5","commandfilter",12,34,"axon-messaging-4.7.5","axonframework",0,0,"" 0.032520325203252036,"org.axonframework.common","org.axonframework.eventsourcing.eventstore.jpa","axon-messaging-4.7.5","common",876,23,"axon-eventsourcing-4.7.5","jpa",9,236,"" 0.03125,"org.axonframework.common","org.axonframework.messaging.interceptors","axon-messaging-4.7.5","common",876,23,"axon-messaging-4.7.5","interceptors",10,119,"" @@ -863,25 +863,26 @@ 0.022727272727272728,"org.axonframework","org.axonframework.test.deadline","axon-test-4.7.5","axonframework",0,0,"axon-test-4.7.5","deadline",10,138,"" 0.022653721682847898,"org.axonframework.modelling.saga.repository.inmemory","org.axonframework.config","axon-modelling-4.7.5","inmemory",5,15,"axon-configuration-4.7.5","config",115,7942,"" 0.020833333333333332,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.serialization","axon-messaging-4.7.5","commandfilter",12,34,"axon-messaging-4.7.5","serialization",1078,176,"" +0.017241379310344827,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.modelling.command","axon-messaging-4.7.5","commandfilter",12,34,"axon-modelling-4.7.5","command",254,827,"" 0.016129032258064516,"org.axonframework.modelling","org.axonframework.modelling.saga.repository.jpa","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","jpa",12,86,"" 0.01568627450980392,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.modelling.command.inspection","axon-messaging-4.7.5","commandfilter",12,34,"axon-modelling-4.7.5","inspection",84,781,"" 0.015625,"org.axonframework.modelling","org.axonframework.modelling.command.legacyjpa","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","legacyjpa",2,143,"" -0.015151515151515152,"org.axonframework.commandhandling.distributed.commandfilter","org.axonframework.tracing","axon-messaging-4.7.5","commandfilter",12,34,"axon-messaging-4.7.5","tracing",173,122,"" 0.015151515151515152,"org.axonframework.modelling","org.axonframework.modelling.saga.repository.legacyjpa","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","legacyjpa",3,81,"" 0.008620689655172414,"org.axonframework.serialization.upcasting","org.axonframework.eventsourcing.eventstore.jpa","axon-messaging-4.7.5","upcasting",11,5,"axon-eventsourcing-4.7.5","jpa",9,236,"" 0.008333333333333333,"org.axonframework.modelling","org.axonframework.modelling.saga.repository.jdbc","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","jdbc",13,133,"" +0.006944444444444444,"org.axonframework.modelling.saga.repository.inmemory","org.axonframework.modelling.saga","axon-modelling-4.7.5","inmemory",5,15,"axon-modelling-4.7.5","saga",242,386,"" 0.00684931506849315,"org.axonframework","org.axonframework.eventsourcing.eventstore","axon-eventsourcing-4.7.5","axonframework",0,0,"axon-eventsourcing-4.7.5","eventstore",169,603,"" 0.00684931506849315,"org.axonframework.serialization.upcasting","org.axonframework.eventsourcing.eventstore","axon-messaging-4.7.5","upcasting",11,5,"axon-eventsourcing-4.7.5","eventstore",169,603,"" +0.006802721088435374,"org.axonframework.modelling","org.axonframework.eventsourcing.eventstore","axon-modelling-4.7.5","modelling",0,0,"axon-eventsourcing-4.7.5","eventstore",169,603,"" 0.00641025641025641,"org.axonframework.serialization.upcasting","org.axonframework.eventsourcing.eventstore.legacyjpa","axon-messaging-4.7.5","upcasting",11,5,"axon-eventsourcing-4.7.5","legacyjpa",23,375,"" 0.006369426751592357,"org.axonframework.modelling","org.axonframework.modelling.saga.repository","axon-modelling-4.7.5","modelling",0,0,"axon-modelling-4.7.5","repository",72,199,"" 0.004739336492890996,"org.axonframework.serialization.upcasting","org.axonframework.eventsourcing.eventstore.jdbc","axon-messaging-4.7.5","upcasting",11,5,"axon-eventsourcing-4.7.5","jdbc",218,1340,"" -0.0047169811320754715,"org.axonframework.modelling","org.axonframework.eventsourcing.eventstore.jdbc","axon-modelling-4.7.5","modelling",0,0,"axon-eventsourcing-4.7.5","jdbc",218,1340,"" 0.004424778761061947,"org.axonframework.serialization.upcasting","org.axonframework.eventsourcing","axon-messaging-4.7.5","upcasting",11,5,"axon-eventsourcing-4.7.5","eventsourcing",134,976,"" 0.0038461538461538464,"org.axonframework","org.axonframework.disruptor.commandhandling","axon-eventsourcing-4.7.5","axonframework",0,0,"axon-disruptor-4.7.5","commandhandling",55,1487,"" 0.0036496350364963502,"org.axonframework","org.axonframework.test.saga","axon-test-4.7.5","axonframework",0,0,"axon-test-4.7.5","saga",43,1375,"" 0.003076923076923077,"org.axonframework.serialization.upcasting","org.axonframework.eventhandling","axon-messaging-4.7.5","upcasting",11,5,"axon-messaging-4.7.5","eventhandling",4409,1557,"" -0.0026666666666666666,"org.axonframework","org.axonframework.test.aggregate","axon-eventsourcing-4.7.5","axonframework",0,0,"axon-test-4.7.5","aggregate",31,2223,"" 0.0026666666666666666,"org.axonframework","org.axonframework.test.aggregate","axon-test-4.7.5","axonframework",0,0,"axon-test-4.7.5","aggregate",31,2223,"" +0.0026666666666666666,"org.axonframework","org.axonframework.test.aggregate","axon-eventsourcing-4.7.5","axonframework",0,0,"axon-test-4.7.5","aggregate",31,2223,"" 0.0016181229773462784,"org.axonframework","org.axonframework.config","axon-eventsourcing-4.7.5","axonframework",0,0,"axon-configuration-4.7.5","config",115,7942,"" 0.0016181229773462784,"org.axonframework.disruptor","org.axonframework.config","axon-disruptor-4.7.5","disruptor",0,0,"axon-configuration-4.7.5","config",115,7942,"" 0.0016181229773462784,"org.axonframework.serialization.upcasting","org.axonframework.config","axon-messaging-4.7.5","upcasting",11,5,"axon-configuration-4.7.5","config",115,7942,"" diff --git a/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv b/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv index bd2e586fa..fc5dfc1a5 100644 --- a/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv +++ b/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv @@ -1,4 +1,4 @@ -"artifact","all","public","min","max","average","percentile25","percentile50","percentile75","percentile90","Source Cypher File: Global_relative_visibility_statistics_for_types.cypher" +"artifact","all","public","min","max","average","percentile25","percentile50","percentile75","percentile90","Source Cypher File: Visibility/Global_relative_visibility_statistics_for_types.cypher" "axon-configuration-4.7.5",39,26,0.6666666666666666,0.6666666666666666,0.6666666666666666,0.6666666666666666,0.6666666666666666,0.6666666666666666,0.6666666666666666,"" "axon-disruptor-4.7.5",22,9,0.4090909090909091,0.4090909090909091,0.4090909090909091,0.4090909090909091,0.4090909090909091,0.4090909090909091,0.4090909090909091,"" "axon-eventsourcing-4.7.5",130,95,0.5,1,0.7691585594811401,0.6129032258064516,0.7857142857142857,1,1,"" diff --git a/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerPackage.csv b/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerPackage.csv index 53ab23954..fde45775f 100644 --- a/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerPackage.csv +++ b/results/AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerPackage.csv @@ -1,4 +1,4 @@ -"artifactName","fullQualifiedPackageName","packageName","publicTypes","allTypes","relativeVisibility","Source Cypher File: Relative_visibility_public_types_to_all_types_per_package.cypher" +"artifactName","fullQualifiedPackageName","packageName","publicTypes","allTypes","relativeVisibility","Source Cypher File: Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher" "axon-modelling-4.7.5","org.axonframework.modelling.saga","saga",30,30,1,"" "axon-eventsourcing-4.7.5","org.axonframework.eventsourcing.eventstore.jdbc.statements","statements",15,15,1,"" "axon-messaging-4.7.5","org.axonframework.serialization.upcasting.event","event",12,12,1,"" diff --git a/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.ipynb b/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.ipynb index 11895164d..27660e1a2 100644 --- a/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.ipynb +++ b/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.ipynb @@ -6,7 +6,7 @@ "id": "2f0eabc4", "metadata": {}, "source": [ - "# Visibility Metrics for Java with Neo4j\n", + "# Visibility Metrics\n", "
\n", "\n", "### References\n", @@ -22,10 +22,10 @@ "id": "4191f259", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:30.938665Z", - "iopub.status.busy": "2023-06-28T21:13:30.938215Z", - "iopub.status.idle": "2023-06-28T21:13:31.537094Z", - "shell.execute_reply": "2023-06-28T21:13:31.536402Z" + "iopub.execute_input": "2023-08-02T12:50:15.434420Z", + "iopub.status.busy": "2023-08-02T12:50:15.433814Z", + "iopub.status.idle": "2023-08-02T12:50:15.761773Z", + "shell.execute_reply": "2023-08-02T12:50:15.761436Z" } }, "outputs": [], @@ -41,10 +41,10 @@ "id": "1c5dab37", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.541394Z", - "iopub.status.busy": "2023-06-28T21:13:31.541063Z", - "iopub.status.idle": "2023-06-28T21:13:31.650859Z", - "shell.execute_reply": "2023-06-28T21:13:31.650086Z" + "iopub.execute_input": "2023-08-02T12:50:15.763339Z", + "iopub.status.busy": "2023-08-02T12:50:15.763224Z", + "iopub.status.idle": "2023-08-02T12:50:15.809758Z", + "shell.execute_reply": "2023-08-02T12:50:15.809488Z" } }, "outputs": [], @@ -61,10 +61,10 @@ "id": "c1db254b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.655264Z", - "iopub.status.busy": "2023-06-28T21:13:31.654697Z", - "iopub.status.idle": "2023-06-28T21:13:31.658848Z", - "shell.execute_reply": "2023-06-28T21:13:31.658228Z" + "iopub.execute_input": "2023-08-02T12:50:15.811305Z", + "iopub.status.busy": "2023-08-02T12:50:15.811216Z", + "iopub.status.idle": "2023-08-02T12:50:15.813144Z", + "shell.execute_reply": "2023-08-02T12:50:15.812896Z" } }, "outputs": [], @@ -80,10 +80,10 @@ "id": "59310f6f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.661748Z", - "iopub.status.busy": "2023-06-28T21:13:31.661530Z", - "iopub.status.idle": "2023-06-28T21:13:31.664562Z", - "shell.execute_reply": "2023-06-28T21:13:31.663966Z" + "iopub.execute_input": "2023-08-02T12:50:15.814496Z", + "iopub.status.busy": "2023-08-02T12:50:15.814415Z", + "iopub.status.idle": "2023-08-02T12:50:15.816209Z", + "shell.execute_reply": "2023-08-02T12:50:15.815989Z" } }, "outputs": [], @@ -98,10 +98,10 @@ "id": "bcb3049f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.667608Z", - "iopub.status.busy": "2023-06-28T21:13:31.667391Z", - "iopub.status.idle": "2023-06-28T21:13:31.670061Z", - "shell.execute_reply": "2023-06-28T21:13:31.669428Z" + "iopub.execute_input": "2023-08-02T12:50:15.817524Z", + "iopub.status.busy": "2023-08-02T12:50:15.817443Z", + "iopub.status.idle": "2023-08-02T12:50:15.818908Z", + "shell.execute_reply": "2023-08-02T12:50:15.818664Z" } }, "outputs": [], @@ -116,10 +116,10 @@ "id": "d31581da", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.672823Z", - "iopub.status.busy": "2023-06-28T21:13:31.672607Z", - "iopub.status.idle": "2023-06-28T21:13:31.681755Z", - "shell.execute_reply": "2023-06-28T21:13:31.681118Z" + "iopub.execute_input": "2023-08-02T12:50:15.820171Z", + "iopub.status.busy": "2023-08-02T12:50:15.820097Z", + "iopub.status.idle": "2023-08-02T12:50:15.824291Z", + "shell.execute_reply": "2023-08-02T12:50:15.824035Z" } }, "outputs": [ @@ -176,10 +176,10 @@ "id": "dc682db6", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.685821Z", - "iopub.status.busy": "2023-06-28T21:13:31.685603Z", - "iopub.status.idle": "2023-06-28T21:13:31.898844Z", - "shell.execute_reply": "2023-06-28T21:13:31.898236Z" + "iopub.execute_input": "2023-08-02T12:50:15.825676Z", + "iopub.status.busy": "2023-08-02T12:50:15.825602Z", + "iopub.status.idle": "2023-08-02T12:50:15.970256Z", + "shell.execute_reply": "2023-08-02T12:50:15.970018Z" } }, "outputs": [ @@ -212,9 +212,9 @@ " \n", " \n", " 0\n", - " axon-eventsourcing-4.7.5.jar\n", - " 9\n", - " 130\n", + " axon-messaging-4.7.5.jar\n", + " 61\n", + " 729\n", " \n", " \n", " 1\n", @@ -224,21 +224,21 @@ " \n", " \n", " 2\n", - " axon-configuration-4.7.5.jar\n", + " axon-disruptor-4.7.5.jar\n", " 1\n", - " 39\n", + " 22\n", " \n", " \n", " 3\n", - " axon-messaging-4.7.5.jar\n", - " 61\n", - " 729\n", + " axon-eventsourcing-4.7.5.jar\n", + " 9\n", + " 130\n", " \n", " \n", " 4\n", - " axon-disruptor-4.7.5.jar\n", + " axon-configuration-4.7.5.jar\n", " 1\n", - " 22\n", + " 39\n", " \n", " \n", " 5\n", @@ -252,11 +252,11 @@ ], "text/plain": [ " artifactName packages types\n", - "0 axon-eventsourcing-4.7.5.jar 9 130\n", + "0 axon-messaging-4.7.5.jar 61 729\n", "1 axon-modelling-4.7.5.jar 10 149\n", - "2 axon-configuration-4.7.5.jar 1 39\n", - "3 axon-messaging-4.7.5.jar 61 729\n", - "4 axon-disruptor-4.7.5.jar 1 22\n", + "2 axon-disruptor-4.7.5.jar 1 22\n", + "3 axon-eventsourcing-4.7.5.jar 9 130\n", + "4 axon-configuration-4.7.5.jar 1 39\n", "5 axon-test-4.7.5.jar 8 85" ] }, @@ -291,7 +291,7 @@ "\n", "Non public classes can't be accessed from another package so they can be changed without affecting code in other packages. They clearly indicate functionality that only belongs to one package. This also motivates to use more classes and to split up code into smaller pieces with a single responsibility and reason to change.\n", "\n", - "### Table 1\n", + "### Table 2\n", "\n", "- Show relative visibility statistics aggregated for all packages per artifact " ] @@ -302,10 +302,10 @@ "id": "fa634a4e", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:31.902515Z", - "iopub.status.busy": "2023-06-28T21:13:31.901924Z", - "iopub.status.idle": "2023-06-28T21:13:32.017302Z", - "shell.execute_reply": "2023-06-28T21:13:32.016735Z" + "iopub.execute_input": "2023-08-02T12:50:15.971693Z", + "iopub.status.busy": "2023-08-02T12:50:15.971611Z", + "iopub.status.idle": "2023-08-02T12:50:16.011247Z", + "shell.execute_reply": "2023-08-02T12:50:16.010998Z" }, "scrolled": true }, @@ -459,7 +459,7 @@ "id": "3f59da8d", "metadata": {}, "source": [ - "### Table 2\n", + "### Table 3\n", "\n", "- List the top 40 packages and their artifact with the highest relative visibility" ] @@ -470,10 +470,10 @@ "id": "6e91c8c5", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:32.020834Z", - "iopub.status.busy": "2023-06-28T21:13:32.020367Z", - "iopub.status.idle": "2023-06-28T21:13:32.134600Z", - "shell.execute_reply": "2023-06-28T21:13:32.134022Z" + "iopub.execute_input": "2023-08-02T12:50:16.012770Z", + "iopub.status.busy": "2023-08-02T12:50:16.012685Z", + "iopub.status.idle": "2023-08-02T12:50:16.051896Z", + "shell.execute_reply": "2023-08-02T12:50:16.051668Z" }, "scrolled": true }, @@ -1151,7 +1151,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.4" }, "title": "Object Oriented Design Quality Metrics for Java with Neo4j" }, diff --git a/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md b/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md index d89395e36..ce3472b1e 100644 --- a/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md +++ b/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md @@ -1,4 +1,4 @@ -# Visibility Metrics for Java with Neo4j +# Visibility Metrics
### References @@ -33,9 +33,9 @@ 0 - axon-eventsourcing-4.7.5.jar - 9 - 130 + axon-messaging-4.7.5.jar + 61 + 729 1 @@ -45,21 +45,21 @@ 2 - axon-configuration-4.7.5.jar + axon-disruptor-4.7.5.jar 1 - 39 + 22 3 - axon-messaging-4.7.5.jar - 61 - 729 + axon-eventsourcing-4.7.5.jar + 9 + 130 4 - axon-disruptor-4.7.5.jar + axon-configuration-4.7.5.jar 1 - 22 + 39 5 @@ -89,7 +89,7 @@ The relative visibility is between zero (all types are package protected) and on Non public classes can't be accessed from another package so they can be changed without affecting code in other packages. They clearly indicate functionality that only belongs to one package. This also motivates to use more classes and to split up code into smaller pieces with a single responsibility and reason to change. -### Table 1 +### Table 2 - Show relative visibility statistics aggregated for all packages per artifact @@ -198,7 +198,7 @@ Non public classes can't be accessed from another package so they can be changed -### Table 2 +### Table 3 - List the top 40 packages and their artifact with the highest relative visibility diff --git a/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.pdf b/results/AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.pdf index f5f5b50c55b23a01fcdc00bbc483e71591724951..5fe6c04f5108ae8d9e7f671c43642326e336ab89 100644 GIT binary patch literal 191033 zcma&O1#n!wvZ(9WF~rP{9mANJnc0q+nPO&UOw157Gcz+YGcz+YbKb=J-)Fyb&v~z| zOJ!+Et?p0VJ(?=5DG|#GiBQwiFhLW~oE&XI(*x)L)_P{pTwJt*c80nR)^-3gK@&S` zOH)Tna%fsvJ8J_+eM4ZUg1MAT*kKP%*{D63 zhj^t<;HWxS^F-ZgC^3z)9fyQ_U>nAX%2{r0ja}}0}9Su0H^5UC%7f{ZusxfT+D@j 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References\n", @@ -20,10 +20,10 @@ "id": "4191f259", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:39.980692Z", - "iopub.status.busy": "2023-06-28T21:13:39.980049Z", - "iopub.status.idle": "2023-06-28T21:13:40.767350Z", - "shell.execute_reply": "2023-06-28T21:13:40.766691Z" + "iopub.execute_input": "2023-08-02T12:50:41.134051Z", + "iopub.status.busy": "2023-08-02T12:50:41.133769Z", + "iopub.status.idle": "2023-08-02T12:50:41.637630Z", + "shell.execute_reply": "2023-08-02T12:50:41.637246Z" } }, "outputs": [], @@ -41,10 +41,10 @@ "id": "1c5dab37", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.770935Z", - "iopub.status.busy": "2023-06-28T21:13:40.770599Z", - "iopub.status.idle": "2023-06-28T21:13:40.884002Z", - "shell.execute_reply": "2023-06-28T21:13:40.883176Z" + "iopub.execute_input": "2023-08-02T12:50:41.639620Z", + "iopub.status.busy": "2023-08-02T12:50:41.639432Z", + "iopub.status.idle": "2023-08-02T12:50:41.694097Z", + "shell.execute_reply": "2023-08-02T12:50:41.693792Z" } }, "outputs": [], @@ -61,10 +61,10 @@ "id": "c1db254b", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.887777Z", - "iopub.status.busy": "2023-06-28T21:13:40.887310Z", - "iopub.status.idle": "2023-06-28T21:13:40.890853Z", - "shell.execute_reply": "2023-06-28T21:13:40.890218Z" + "iopub.execute_input": "2023-08-02T12:50:41.695585Z", + "iopub.status.busy": "2023-08-02T12:50:41.695498Z", + "iopub.status.idle": "2023-08-02T12:50:41.697307Z", + "shell.execute_reply": "2023-08-02T12:50:41.697080Z" } }, "outputs": [], @@ -80,10 +80,10 @@ "id": "59310f6f", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.893757Z", - "iopub.status.busy": "2023-06-28T21:13:40.893380Z", - "iopub.status.idle": "2023-06-28T21:13:40.896757Z", - "shell.execute_reply": "2023-06-28T21:13:40.896112Z" + "iopub.execute_input": "2023-08-02T12:50:41.698590Z", + "iopub.status.busy": "2023-08-02T12:50:41.698515Z", + "iopub.status.idle": "2023-08-02T12:50:41.700296Z", + "shell.execute_reply": "2023-08-02T12:50:41.700023Z" } }, "outputs": [], @@ -98,10 +98,10 @@ "id": "da9e8edb", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.899516Z", - "iopub.status.busy": "2023-06-28T21:13:40.899294Z", - "iopub.status.idle": "2023-06-28T21:13:40.902167Z", - "shell.execute_reply": "2023-06-28T21:13:40.901573Z" + "iopub.execute_input": "2023-08-02T12:50:41.701478Z", + "iopub.status.busy": "2023-08-02T12:50:41.701406Z", + "iopub.status.idle": "2023-08-02T12:50:41.702801Z", + "shell.execute_reply": "2023-08-02T12:50:41.702589Z" } }, "outputs": [], @@ -116,10 +116,10 @@ "id": "9deaabce", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.905658Z", - "iopub.status.busy": "2023-06-28T21:13:40.905002Z", - "iopub.status.idle": "2023-06-28T21:13:40.917822Z", - "shell.execute_reply": "2023-06-28T21:13:40.917195Z" + "iopub.execute_input": "2023-08-02T12:50:41.704107Z", + "iopub.status.busy": "2023-08-02T12:50:41.704036Z", + "iopub.status.idle": "2023-08-02T12:50:41.708216Z", + "shell.execute_reply": "2023-08-02T12:50:41.707959Z" } }, "outputs": [ @@ -163,10 +163,10 @@ "id": "c2496caf", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.920928Z", - "iopub.status.busy": "2023-06-28T21:13:40.920720Z", - "iopub.status.idle": "2023-06-28T21:13:40.923827Z", - "shell.execute_reply": "2023-06-28T21:13:40.923169Z" + "iopub.execute_input": "2023-08-02T12:50:41.709555Z", + "iopub.status.busy": "2023-08-02T12:50:41.709462Z", + "iopub.status.idle": "2023-08-02T12:50:41.710935Z", + "shell.execute_reply": "2023-08-02T12:50:41.710706Z" } }, "outputs": [], @@ -190,10 +190,10 @@ "id": "0ed729e3", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:40.926754Z", - "iopub.status.busy": "2023-06-28T21:13:40.926435Z", - "iopub.status.idle": "2023-06-28T21:13:41.132083Z", - "shell.execute_reply": "2023-06-28T21:13:41.131559Z" + "iopub.execute_input": "2023-08-02T12:50:41.712156Z", + "iopub.status.busy": "2023-08-02T12:50:41.712086Z", + "iopub.status.idle": "2023-08-02T12:50:41.787361Z", + "shell.execute_reply": "2023-08-02T12:50:41.787107Z" } }, "outputs": [ @@ -232,102 +232,102 @@ " \n", " \n", " 2\n", - " eventsourcing\n", + " commandhandling\n", " \n", " \n", " 3\n", - " conflictresolution\n", + " callbacks\n", " \n", " \n", " 4\n", - " eventstore\n", + " distributed\n", " \n", " \n", " 5\n", - " inmemory\n", + " commandfilter\n", " \n", " \n", " 6\n", - " jdbc\n", + " gateway\n", " \n", " \n", " 7\n", - " statements\n", + " common\n", " \n", " \n", " 8\n", - " jpa\n", + " annotation\n", " \n", " \n", " 9\n", - " legacyjpa\n", + " caching\n", " \n", " \n", " 10\n", - " snapshotting\n", + " digest\n", " \n", " \n", " 11\n", - " org\n", + " io\n", " \n", " \n", " 12\n", - " axonframework\n", + " jdbc\n", " \n", " \n", " 13\n", - " modelling\n", + " jpa\n", " \n", " \n", " 14\n", - " command\n", + " legacyjpa\n", " \n", " \n", " 15\n", - " inspection\n", + " lock\n", " \n", " \n", " 16\n", - " legacyjpa\n", + " property\n", " \n", " \n", " 17\n", - " saga\n", + " stream\n", " \n", " \n", " 18\n", - " metamodel\n", + " transaction\n", " \n", " \n", " 19\n", - " repository\n", + " deadline\n", " \n", " \n", "\n", "" ], "text/plain": [ - " word\n", - "0 org\n", - "1 axonframework\n", - "2 eventsourcing\n", - "3 conflictresolution\n", - "4 eventstore\n", - "5 inmemory\n", - "6 jdbc\n", - "7 statements\n", - "8 jpa\n", - "9 legacyjpa\n", - "10 snapshotting\n", - "11 org\n", - "12 axonframework\n", - "13 modelling\n", - "14 command\n", - "15 inspection\n", - "16 legacyjpa\n", - "17 saga\n", - "18 metamodel\n", - "19 repository" + " word\n", + "0 org\n", + "1 axonframework\n", + "2 commandhandling\n", + "3 callbacks\n", + "4 distributed\n", + "5 commandfilter\n", + "6 gateway\n", + "7 common\n", + "8 annotation\n", + "9 caching\n", + "10 digest\n", + "11 io\n", + "12 jdbc\n", + "13 jpa\n", + "14 legacyjpa\n", + "15 lock\n", + "16 property\n", + "17 stream\n", + "18 transaction\n", + "19 deadline" ] }, "execution_count": 8, @@ -347,10 +347,10 @@ "id": "62328fe4", "metadata": { "execution": { - "iopub.execute_input": "2023-06-28T21:13:41.137617Z", - "iopub.status.busy": "2023-06-28T21:13:41.137178Z", - "iopub.status.idle": "2023-06-28T21:13:41.700609Z", - "shell.execute_reply": "2023-06-28T21:13:41.699910Z" + "iopub.execute_input": "2023-08-02T12:50:41.788887Z", + "iopub.status.busy": "2023-08-02T12:50:41.788800Z", + "iopub.status.idle": "2023-08-02T12:50:42.129535Z", + "shell.execute_reply": "2023-08-02T12:50:42.129184Z" } }, "outputs": [ @@ -363,7 +363,7 @@ }, { "data": { - "image/png": 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e+10zqFyMoSpxzhFB1D+3rjoU6wrbdQmr7WCfk0oGwoZjuyqJ7NmUMJ2B7kj11JNaQvBBnUMqowizZQ4uOJq6w35XD0SRDiohqQSiRFGuGmeIEgVjLJpao9zVEEog0gpx4qBbPSieukZjv62wuSmIeGoNutaE8zKU28YopNw7sr1mk/tVT7PGogvnV2wqrG/2uHmzGUw7vX0Q8GhbjapoUBYtAFJxUYg3H9qubTT22xrr6wJccESJRJrHKIsGm9s9bi536AJpDY8wLtE/uqZ3EHXDe+xaDd3RewUwFEzoWoskI3VX12pU+wbFukLbaMSJQprFiGIJGRFRmBg7EHn3+HTBOEsh2qaBFhKRV2CMQbuDckcHC9ne1NjpEmtN9rOER4iFGqq49Va8zmlURwTOTbs9WM5wqD7n4ALh1KENxFNPOPXqIw4ergOy1yUiQiyi8BoNdroEGEPCFTIRE6nEiFSKHSmSfMh1asJ7iLhCJOTw3npVkvN+UFy1rkNtWzSuC6opTlY49ApmFt4PkWyd1ahMAwcPw6kdW5eG903EXU+s7XSJVVfgpt0Md3+qrHew7uUyAUSCzhnsdIWrdoPCVKT4AkMiokDCCaTCwHp7x574uXhUxFPXaBTrEtev1gCAxfkMZ8+Wg4r82FcolMDF9yfIpuk3OtsRI0aMGDFixIivAQGwKcA9AAWAA54WEOALgM/p335HpBSL8cimeI8YlNmUxAppYgYVUquJBFKSI2JEHiklIAWRT0XZoGw0Oh0yOYZJfQgWBy1mVCCd8jQajt10Bs5RKewkZoikRKSoTD2Fj4eMmJB7aoMVJo6o6l3TGnTaoO0EjHmYBcGIf05Y51DtG2xXe+zWFbwj9cx0niHOIiRphLrq4J1HWdRo6g6b2z1eP7+F4BwyEnjy/RKc80Cc0GeyrTWe/+UKddmirlq0NREZs0UMFcmQU+SDfQ9DJhLjDFIJxKnC4nQCZx3SPKbjlC2kFDCdxeZmDwYGFUlM5hmSVGG+zNB9tySCRVs0dQfdBaIERNR2IXSccUb2tDyGkCFXygO61WRjsw5JFmF+OrlXO7aNxm5VYrsuSR1mLKJUQYpDHrFzHuvrAtvbEkKRglHFEYy22K7KQPYQCdTWHYy2YIzaZr+twfkmKJc0VER/3+cdc85IWbarh2ykvspmnAZia8isA7rOoN636GqNs2cLTBcZ2JwFVVOCJI1w9myB7/90hsXphKx5WYwkiwZ73vvQ24I5OFIRYRFN4OCge9LFahhnByKpNDU2eo9CVwCAZTTBwk+okpyIsDcNnHfYmwqN7bDRe1w2K9S2g/YWEZeDUokIFmCj99jqMoSBHzKLEhEhE/Hw/N4CV5gKrdM4j+eYqwkmMsVEpshlCsUFzpMlfsjOMVM50mA9S3iESChwRsddqAm6xAyWPsp5onBxBkBxgUzGMN5iriZYRhUE44gFWfcmMiW1VjzFVGZIgyUu4gpTleEsWaCx7VDVjsg7ItwaR2Hl226PwpA6LBbR0CaCcThvcdPusDc1zuMFRCzgQeHtje3gvMMymmIZTTGRaSD+IuTBivi+in6fgkc1K+laIp5uXq6xvJjh/Lslnvx0RhdJuOn2oAEjRpLdj4keMWLEiBEjRoz4fUJQbpOPAUREMrEKYAIQFwB/BqAF7CUohDym3wE4RNuOeBcYA6TgSGKFpDNEDGmDutFDKLhSArESiBRNmzttUGmLKhBPrE9JRp/BRIQR9x4MCkoJZGlE4eLGYl+1Qx5UJCWiiIgnwRkaxuCdQRcCkYeQc84RxxRy27QGXWcGEmzknUZ8Lpz1qPYNVlc7FJsKUawwP8kDWUFkw25ToSxqsNcMbd1hc1PAOYfZIsd0nuLkfIo4IUIiiiUuX67x+udbvPnldqjACA+kWYzpMsd0nqEuG1T7FnUV1CBB6ccYEU9pFmNxOoFSEtkkoSypTQXdGWhtsb4pIATHZE4ChDghpRQYwy6QP23RQXcGztJr9AHkXWuQZFF4UO5SPolhjMXrn2+xuipQlx0WpxMixu6BttbYrPa4erFG12pYY4lESigPSUqB7brE5qZA22icnM9wcjFFkipY47Bdldhva2TTBPkkIZVZZwDGYLUhq2JNWVe6MyHbSoTjR9hvK+zWJbarEkkWDSRRkkVBURUjD1lSnDO8/vkWr29v0TYa02WOKJZIUsrPyqcpAI/zZ3N890cinqQUg+2wL7jwIVBWEpDKGEs/BWccO11iq0u0TsN4Q6R6yIG6bXcoTYOISyyjKWIeDblC667APqhxGqex6cpAMJGiKOKURRSLCBFX2IY8pMLUwzGSQO6kIkIiYuQiQSYTWG/xqr7FqtuBg2Ee5YiFApAOVrNUxLiIF/ghPcdEZZCMQzIxEDqMcSQiwjzKAQbKqdIlKtMO5BADQ8QlkV0emKsc+2gKxUUgshJMVYqFmmIRTQbSSYaspanK4OGHNqx0G9RU9PlsbId1V+CqWaNzBhaOVFlCIeYROGNETLUFPDwEE5jKDIpLdI4sgAAwkxl+zC4wV/lAWknGIbl8kMqpj4p4csahazX5SZ1HlERYnE0DE02M7jHergDwreBDOj/J0AAZWNSHYAZHjBjxddDnyN3dOe5Fu7+9ksOIESNGfC4Yowp1YEmwgm0Bn4PYjpjsdt7TVyiASQDjHOQ+YMCgeMqNRduR6sk7T2RUpBAHYihSFBDOGwbngUg55Iggg/2th+QcUnJIIZCnMfI0wiSL0WmDplVoOhNseQpJOLaSApwzKKkhhUCn7RAinkQSaaKQxREAoO0MIiWhQjjziK+H94a5s+Nvfz/zBe89ukaj3DVDrlM6iTGdZ0MAtQcQJ6TsaLVFtW+Dmk9icUp5SNkkofDpVIU8KIPV9S4IB0gJxQVDmkWYLjIAweLXdMN59NlRXWuGzCgZCbL7aQrHrvbNEBJeTw+qIKkEkiyGcx5t3YFzBqNJ7dRfm975ELDtBotePksxW2SYL3N0rcb16w2augMaUjGR7fXjMJoURNtVCQDggtRYPYGnlEC1b+A9YLWFEBxpFiPL4yEDyxpLeUwNKbL6MHXGWFBwVUPlPSKdooFcItsdg+ksjLTQykBqqmoaxQr5NMFsmWO+zMA4w+3lDl2nURY1jLYQkiOK1BCozjjDZJZhcTrB/GQyVA+8z1x4eI7HkOlkvUMTyA3jLGwIRXfeo3Uae1Ojti0iPkEWSBgKCI9hnEXMI3p/zqC2DbaaQzEJzhjlKR2RSj2Jop0ZSCLF6PMXcYWJTDBTOeYqR+cMrtstWqupUp53UEwAIiLihiukIsZUZVhEU+QyQV9v7rgtFKP32WcyAYDxdsilYoxBgMgqJzxSESOTFLCeixiZTDCVGSYyQS6SQH4RZCC2XKictzd1CEi3w2e7cwZVCHLnjCx7EZdIOLWJYBylaYaqetaT4syFSnYOFCieyhgnQfX0JfCoiCcueLhIIzAGtHWH7W0BGYWqBUfhbowzqEhBxRI8+rY3XecdatuiNA1s8E3mIkYkxsnAiBG/FxzKrYYhONwUe4/z72kiOWLEiH9kcLLSsRzwLeALwIZsJ18CMBhznT4BjKx2WVhYS8GRpxG0toPaSQaLihRUgavTNljiLIy1MMah6TSqRqNuOsSRwiSLMcmIdMoShSyNqGpWHGE5ywbFUx88LgRtcPRWOxNK2jvvIIXAJIuQp6TyF4IhTRQiST8Xj2ATdsTvFKHqmnVuqExHtrlgEQufTaq0yIbnO+tCtTYEKxnZvfrF+FDNzYeS7MG5wkLoPuccPByXHC0M1jpURY3V5RZ12RAJU1MYubVkaRWSrGJ94anPFftxwaEUqQ1VJMAlB9NsyKkaDnzPF/Ahc80YGxRBRD739jYhBaaLjDKtjMXpkzlOnswQxRL7XYOmalHt6T3XZYskJQXZ8mw6VLgrtgbeejBB598fmwuOfJIAz4BsEocqgTSn7UmqKJZQR0HpLOTY9Fuu/fv8FiMJBZH3BCGDYGxQE4lBzEF943wfLu4gmAPHwWbXEy4TmYAlC0xUelT5kwK8FZNQXEEyCcEEONzwnv1bkYi/p1HVB9ui8Q4KdJ0JJoa2kVxgpvJBKUaqMgUPUAW7oMb60uudx0c8KWKHGWPomg7b2z2iWA3VCXowzpBO/K9UUN8CDh6VabHu9tCOVE8xl4igPvq3I0aMeBygShnu8Aj7ABIySIa//VgzYsSIEWCBeOI54EK1O3cFeIvjUNLw5G90kr8f9IonIThiRVlMJuQr9YtlfrTb31vpyE7XL349tvsGt5sSt5sSkyzG6SLH2TKHknIIGk/jCIuphbEOgtN9hRbrGOx6RDZRYHgfvkuEWKiMByBNFGYTR7v9Uoyqp2+AY8rj970xRZ/lPlMMwJDX1Fc74+ItUik83wdrXE9+cMEGQgOeyA9wum54CMrv3SqM93/HBjWNNRZl0eD2aodoI0PlOQPGqIpaFCvwYPPqQ7vxGZUdGaM1p4wEVCwhlQzE2cFC9qmUlg85VdbYQzVKKSCEGIi86TzDZE7k02yZYbbMwzizQV222NzuEZctyoJsgxffLbA4m8Bost3tNiWcc2AQgcyidhecI5smSCcJ8MRjv6tR7mqU+yYorwRUrCAj6k/vcXAM/ept9uMRvtLtg9Q2RCgRCcQZH9xDx4TSoXYrhXRLJoj4DAQLBz03DxXnnHfY6xp7U6NzeiBgqLqeOBBaAwFH53O3SX4f13Zf0c+6QHyiz3YSdP9gAjOVYaoyCFAbRcFmJ5kYiCfJHsJQ9348LuKJM8hYIsliMM6GsPGedJJHxFPvL41ihfgb54s770OoV4UuJOLPVfZtT2rEiBEfRb9gIOmphnYdtNPDDhADA7inSicjRvwT4LDz6GDhhp1FwB92FXE0GRwtqF8dNP0WACJ4CMB3FCgOB7LZReF7P/zFiPeDFs4MApT1FOPXLXdsqXjfIlcENZRzHnkWYTlLsZhmtNAOz4mUgD/alHzbrnGMg/377rmEVxt79wvgbpv/mnpgoDm/DuHBjCFkvXAwf5RDG/q0F84cW/mH7/zhFfrxlBbAfnh+H4yMt47TL5YfxN4XMpWSJELXUOh9tW/AGKBbEyqON+haQ3EiiqxvWU4h4USIVOhaAxmRqqauWoAxZJNkKA7FOML3/b97womIDoAILd0ZNGUL3Wo0tUZTkW0uzUntZ0Lof0/Mkj2PcpvqssF+W6MsKD+qqTvUVYu6JGte15ojVReRYSKQaj25fNyMn0I9CckRJwrZJBkI6a7Rd96jihXiWA7PS7II1rhBRGE0Ba0b4waLXTZJqE+KBmVRo200wBh0a46OzRAFYk7Fkmx5VRe69/h9UmYynD8ilo4IVM4gJIeKFJxz6BqN3boCPIa+HciuD+Q8uaBecnBoLVWHK0yF0jSobYvOatS2RWWa8Ln1iLgc5h2laQCQVU47g9LW6JwBAxEoMVfIZDKEg3dOg4MKPDBGFrOYk6KpD/nuoIdNZDEQWexX103fGjy8FgWXM7RWY6v3MM5AcQnJxfB6DAyt61CZBoWpUQbbYGM71LYL77WF5Ifw84+hJ5Kcd2gdtdfeEIlWmRaNbQ/Htm1QgAlkwQrow98NFkkESyKXiEL2Uz/mMDAIHBRSeE+/PgQeF/EkOKJIIskiSpnvDOyuusO495CS5ILpJPl2Jxzg4NFaEy6oDouoG8o6jhgx4vGC/Nzkda5thcpUqG19FKgnqTSwV6N+ccQ/BY4rnDROo7UdOqdhvUciFAV0hhLHMVfg95xEjXhoHK+Q+u89ABcsd/bTZQAjBnzOtDtSEvNJQiHgkUCaRAflwG849vuePxJOXwY+qC/6ry4sRTmInOgczfdL00IwRsHAMhrKsgMYFqMcOKg5wiLShwW5DQoPAEMIsGQCNgQu92Q/Z1Rtrc+fYWCQXARlwm//FPSkzuJsMlQ7u369wc0b+nmWx6irFsW2gnMOcRphvsxxcj6FjATqssXzv1xBSDEEUNf7BpwznD1boGs02kaTVe4e6DM1vScipq27IXzcBnufbk1QVFHQdlN1KAsKSF9d7bBdlaFKX0kqo1kKFUnsdzUFdn8BRInC/ITUScW2wn5TY7erkaQRmpDDlGYxXB6BcUbVKL0PVfzI7ROnUc8wDr8TUiBWHPMTUkft1iUFrW8ryFLQsdMYaR4hyRxS72EM5cN9KjgnQUc2TdBULfa7Gi/+coXJPA2h4wnSPEacRkiCO+ldsN5BO4POGWz0Hqtuh1VXYNPtse32MN5i2mWYyBTW0xU2UxkUF+icwWWzBmcMmYiRiWQgXDwoG2mucpwnC7RWozAVdrpCwyUS2weIx0hljIgrylnCZ7QF44iFGs5xq0v8XF4eVbtLoI6q6W11iVVX4LbdYav32HR7lKbBRGbIVYIokGWZuF9RtL4KIFXcq7Fqd7jtdth0e2zC8Smvis6lcwaZiPEkOUGhKxSG1jSJpeyrVmikIoITMRDGEP8NaKBHRzypoHhqG03lMEt7YMuPPuBSCaTTBIvuy4RffQq89+icxt40qALDORJPI0Y8frhQFEA7jcpW2JktCr1DxCNEPEbMY0iu4Pj9JkwjRvz+4YeFVb9ztzcNrLeYygxTRZMuABTAiZF4+vp4n5XOA7DhqwE+Y7I94vMRSQExSYYsJ8lHReDvEa5X0gSixx7ZfwQ4WmtQ6Bqrbg/FBWaKLI+il/SAFEk8qCv6Y9Amlws5LBbW0VcAmMhksF0aT4tNKlYkIFm4or2BccHGBcr5ehjiiSPNY8xPJ/De483zFa5fbVBXLbJJgiyPYZ1DuavhHYVdz09yXHy/RFN3uLnc4ubNFt6T6k9KjjglkuX82QK7TQmsK1TlPedR7GADM5rCtq1xcIaCxzlngyXQBYVUXbUoNhVur3a4fLFCsamx31Yoiwb5rEA2TaAiifILEk9xojA7ySGVgLMO29sSm9s9EU5NjK7VpLYKQejWWLIqHgWFx6mC0Rams6HCHyAVR5pFcCeT4PwhK91+UwMMSOoYXa5hTQrvPYRggyrsUzEErk8SmFBJb7sqkU0SnFxMcXIxGyzIcazeW7/ChhDsyrbY6hI37RZXzQaFqVDoCs77YIdLglWOY6oySC7wpl7hslmjc5qIJ0nh4ntTA6ANsHk0wZN4ibXeY2dK7PQeikkkIkbq9LAGZxJ3Arg/BZR7pJBLIr52usRGF5jIDKfRDCfxDDFXUFxAcYmdrnDTbvGmWWGvKxSmRmM7THSKvE2Q8Ag+KLvkPTbsnKeKfY3rUOgKt90Ob5o1tnpPx9c1Ii6RywRZINkyEWOmMlhvsdYFNl2BVMRoXYTUxQNxLbiAdQqef/3NqUdFPAkpECXEtFrn0NYtDXRHoWe91I8L/ptC5R4aDh7WW3ROY6drXDdb6CALfHviQVI3hSTI3H4v8H2gm6MQwlYbtNqgM5RXYKyDde7XcmDGhsBOwTkiSZVh4pB7IDiH4Oy9zPnH4LyHsRbaOmhj0RmLThvocD425CUMhnB2kNTSa3NIzg5ljUPWg+R8yFP4R0LfJta5od+MtTDOwVr6ufUezrkhZ8L7I1n4kb6fpLpsmAj1cmUe+pTalg/5FkoKanPG7uQFfE0cV6Sx3qK1DRrXoDIlPWw53KgYGIzTn7Vb8qnoAxC9x/B5NsNn+NBnznmqBjLkgPjhmqOP+LvsAX0+SfgXwzA2Hfrs8FWECbAIfddfI30+wz/jYuq4nZ3z0PbuuNf3jw1hwO6of1wYe3zIohiuo2ObBDtUSekl8BxkRzj0S+gDxigf5q1rjD/AteVB8vbKtih0hWqQcVuw4X5Fku0U0Z3r6Vtczy6MVcftf9wnw+9+1SdHY1t447/KbGG40yfHVX36fJ5+nDu+XmQ//oXvH7pdPBzgDQWLQ4cTVoA/fp07Bp13/Pzr4fgzYqyDCfceG77v70V9H/b9c9xHdJxDH/VzC8YO38uj9j8O7hZH49tHS4Dfo6/e95Q+6Dd6IHnst66k6vzhmrLWvWPMO8yvjq+t437y/tBe/X1omBeGPumvof76USHLiu49hzHva8CHubx2lpSfrkNjO3jvobiE4hKN7bAzpCiIuILiEolQw9jZOQsRMlUE40E95QbVU2/xN+5QDZv+1kJwji4oRbxHsAzRWqEveqKCheihVNgsqFwm0wTOOJRFg/2uJnIho4BrMHKapHmMyTzD6dM5FmdTVPsGTd2hKhpY68EF9WU+STBdZJguMsSJQpxEqPYNFqcTZNMEcapgTQx4+ps4VuR2cR7ZNEE+SegWGfKjrHVQfQg454Nlb7rIkWQRjbVKDBY2Bso1yvIY82WONItJsJDHYIwhNRaTULUviiWEEoO6KJ+mOH0yh/cek2ly7yxhqSTSPIYQHGUxIatf1SJKFKLQBtnkoBhSSobsLI5sEmN5PgU4g+kMdGdJZTRNoZQMxyZSqWs0VfbbN/AgwisK7zvNYyQZVb7kgqx/00WGdBIjSqhQF+cMHgzpJMHJ+QxxojCZZ1CRhJBiOBchOZq6Q1N1iCJSst0JkP/IJdmv/SIukYgIuUzo30wOCqckhHwnQUGtuERpGuxNjcYKJCJCxBUiriC5RCYTLKMpTqMZ5tEEDp7cRqaF4GTB65VFqYyRCKrIyMFJZaUyZCIm8oeLgTCeyBRn8RzOO0xkCskFBOjnp/EMEZfDWBBxQb9/K39KcXF4n2GOpJ3BXOVIRHRkp6W5XRTUVIJxJDxGIiLEIoLk8mDVDQS2DO8tEzG8d2Q3FBEWEVUA7O2HqaDjlKZBZRpoZ4Y26c8tFTESHoU2oAzbiUqxjGcQIJWZ+ILcxKMinqTkiLMY+TxD23TYWfIZe3fwO0/mKZIsQjaJEcXq0WSvcFACv/Meq65AazUSoYIcVty5aU5lirN4BslniH5HxBOAgdipOo3VrsJtUWFd1qjaDlWr0WgzTPQBDKRSrCSyWCGNFOZZguU0w8kkRRZHSCOJJFKfPR12zqFqNfZNh13VYLOvsS5rFHWLpjNoOg3j3OAHF0cLhERJpJFCGtN5zfMUizxBFimkcfSPSTxZh0Yb1J1B2XQomxb7pkPd6fAw6IwZ+toeEVJ9GwJ+UCH2pGJfPron747bNo8jTNIY0zRCohRiRb7pbzmt7nOdKlthbwqUpkTrWhhnIJgB9xrSy8/eLfnk8zkidYua+qRsWtSdoc+x1oHsteiMgQlE6zEZ5d4iow6L5X6hfJdkUlJACRFI18MjVhJx+JrFEV27sRp+z8U/p8rFhf7pjA191NK4F8aZJpDxrTbQtq9MZX+1OOu/PyYC+VsLsZ7UGBbQ4qh/pECkJGIlkUSHPkoUXXsRE59PPHkP7Q1VarUt5ZiE+5t1FhVamriLCNal793x/FpwzqMzFq2m66TqNOpwL2q0QduZO/3Sk+x9ePQxye5CFaB+XDtcL3fJvr4v4tAH/SONDvc5+hpBRPzh4xK8A9BQqLivQBsqCUjhZMNX8UVzGj4H3gOtNihbjTLcc6pWH917NNpOD6R7f+0cxjYXrptAVIi7GxtpJJHHEfI4wjRLMM9izLIEcX9dyH/Ocetz4ZxHqy1V62v1MFc47rMu3I/6DchjMqonEI9JQnlEMPVzhUgJmitECnmsMEljTNIYeRyF64yBi69FPFEJ9MZ1KE2DTVdirfewzgULTwTrKYOmCSXTO6fRWTNkvW51NVSJijgts3rS7bhSV5+D473HzpXYeA/jLVqr0ThS5ZDViKzNKgQiewZEXv5q8+JzwRiDUgLIIkxBc6MsT9B1mkiPSAAMsMbBhuyh6SLDdJ4iTimwerrIhwp3jDHESYQkI+tYPkuxPJ+iaw3yWYJ8Suu4KJbIpgl0q6E7Cs/23iOKFaKY2m1xOkFddfDOQygOKcWdTKg4JTInm8ZDWPhsmQ/ZVFobTGYZkTiTBFrTz73ziLMISRoRCRSJwXVz+mRG5Iz3OLmYIYrvR/EJwaAiCc4ZTi5mkEpgdpIP1QFlEFfE4ZFkEaSi9zNd5gCA+UkOG0j5OFFYnE2hIhHsePTc+UkOxoB8lgK+ryhIVev64/ftabRFEmx+SRoRuSQEPPdYnk/JsdNqnFzMEKfREIDOGMN0kVEbtgYyEqGdE6q2F8sP3l76zz8Dw0nkEXOFpZpSZpMnUrVXT2cioXGcCcQ+AgOQiwTGW0guoBh9FnrFYCpizFROlrWIlIgzlYV5Ch0nCkRWFMgfrQysd4MNr7+eOOg8T+MZEPLVTqMp5TqBYaYycMYwV5Ph3CMukQtSaxG5TPO1Zfi7ucoHm2GvFO/teamIIBnZ8yYiAeI5dAhJV2G8iLmCCMyqYhJMAHNQNbqpytBaPWRfpTKm4ysKCqeKfQKn8QySC5zEs6PoEDFYeqPQNopLOO5x5udEcINhHk2GNv8SeFTEk5ACSRrBzlMU6xLOOlRFA+eocgIAulBDtlNf3eAxoGdNnXdYtQUu3RoAhg4+Zg/PE/pALKLJtzrdz4IHoK1D3WnsygYvV1v8fL3Bq9sd1mWF9b7GvukGtQZA0nMlBPIkwjwjUufpcoofTudDJQrBGRIlP3uSbJ1H1Wqs9xWuNnu8uN3i5e0O17sSRd1gV7XojB0Wfb3yJpIC0zQmwimL8XQ5w3cnUzg3g8tTSCGAe95wfk8wjvqwqFqs9kQe3hYVtmWDbd1gVzWo28OCQJuDmux4cdYvyEgtdkQ2xbTomgxtm+BkmuFslsP5HD4Ncl6JbxZSEbQrML5DbSvs9BaNa9DaFsYbcKfBwaGZhPH2HRGjDw9S7tGuclG3uNmVuC0qFHU7PHoyqmoDCdWFCf87VAPAQaFxrOwbFmucI46IHEwiiSwi8iKLFPIkGh6LPMVikvaxA2HR8MWb49HBg6yZJoyB27LBTVFivSeSe1e32NctyqbDvmlpET2QHW5QevTqAesOk3Te99FR3wjBoQRHEvonjahvepIpj6l/ZlmMRZ7C5Cl8SotyKcRv4oO0s6gtLbyOLSPGO2jTAkCQc1Plx29Z0cl5h05bVK3GrmqwrRpsymYgBvdNh33dDd93QaXbaQN9pPrsFRxkI+B3VRicDeSGFAKxEsjjCFm4RiZJjEkShc2LBIssgXUpOONIvshAZ0nt5PaAr0ntxBKA+aCEMuQxGD4FD7RC/Q3ouftWW+yqBqt9jW1ZD/21q+hR1C2RiNqg0xTgrO+oozw4wxEZKxEr6pNZmmA5SXEyyXCxmODpYjpUe+OcIRptoZ8E7z1abbBvOmz2dZgrlNiUNbZVi13VoAybjnWrAwEV5gqDctrfIdSPleX9hkYe07Uzy6j/zmY5zqyjj20SQX3FG473HtoR+bPTNa7aLd7UK3TOYCITTGQKzhi0szDegoOhtQatoOdfNhu8qdekUBAKCVcQIY+JlA2HfLwe1ruQYUMqhdpqNLYDAxsW5xOZIJcJcpXQJoBwDzYrYQyh2pmgfJ9JgrOnCzjnQgU6PiTIwZM1jMgODu88ZssMxrjDRe4RKtzRwwflqXeeQqlD9TjnEnjvwu97ZaMfKsv5EBxuzVEY+LG9MFjy+op6SRpjtsjIltdvwLlAzPTnEn4O3x+PD6ri/uvpkznmJxMAHlKRy+Y+4IJDBYLoRBEBZo3tm4Q2mPqQb8GGSoEAw2yRIZ8k1E5BNcjDsXrCiSnqI6kE8lmKi+9P7oTW94HfIrR5fxzWqwbFYbPYA1ieTTCdp3DOQykBGZHSZrJIkU3igQBz1tG8IpzLUJnwA2s2GUKqFZOBdJrABsVeH7DfE7DiKODawSMXCc7jBfxAWh/uY95jIFJEyGCayQwmOek1lgAOYf0CPNSnDm0aSKI+FLzPbTuN5pir0OeBvAGAmcqRh4wnF2yyfcU9ycVw3gCt9+cqp3mRP7wmuTwOhVn6wgC5TIMiyx9cCTicHwAoLiAhEHGFqcyG8+gLEPCjtuiPyxiDZBILNRnys/o5wEGlxQbXg/eUMbeMJqDsJ34vK+Dn4lERT8ZYNMGn66xDNk3w5McT8qmGCygJoWxN1UJ3VJ3gW0v9OaNwwWWUw3o7pNg7T15OJeQd4inmFCD4Jc7UOTeQBHWnw0K1g35PqB+RBYeFTRIppNFB5uc9WUr6HeWbXYmbXYWr7R6vbnd4udricr3HNkway7YbFsAAIIOaIo0UiqrFtowHdVRRt7iY5zibTXA+z5FFCnEkkSj5zn487mfniWyq2g7bqsHlZo/LTYHLzR5v1gUuNwVW+3pYBBJpclA89SqPSRxhm9aYpjHKpkNR04T4PJzT2SwP6ifajfs9wVqHzlpoY2n3P6gyiroNC7QWm7IeHkRuUHsdKzh0b8WzB1UAcJDRDqqMsCBLIlJe5ElQOSUxFrsS19sSJ5MUsyzBNIsxS+NBEZVG6mDH+wpqmn4S1ZcblVwiQjQoO6iyw9F59JOV/u9/wzgzKJRcrzwjlVl9tIu83ldY7WtsAplbNt0wwa9aUgr8ylJ6xybph5sZ7yc7w0L6sKCmBVuvnFFIw9dsUKopTLMEszTGNIsHciqJSP2kjhRuUVDm9KTJ79WO1yvPDiRT6KOj/tk33dBHu6oZ+qhqOlQd9VG/cO7VaXeseK4nng6TDSHe6h9G10Os5DAuDirC6KAmnCQxZlmMaZZgkkQDMRUriUgc9VGwN/fk1ofszb1NRHFS8RrvfjX+fgUR4B0VoLEOnekVfzYoyug+V4b27wnaXSAAj6+Z/mtn7B01pwnWvOOFshgWym9dN6HtjhUafXtncYRpGmGaxmFDIx1IqCRS4Tojcr6/5np8+njCQdXrQv01JoPVrs930t8kWPz4M9LPGVpt0eheFWiwKWus9tVA2B6TtvuG+q3txzZjqX8cLYB6uyQD2X6UEFCCD+PPJCXicb2vsQnk1vWuDPcYiUSpbyICmwdCZZGn39w+9y4472mDyVi0hhROTWdQtt1A5m7LBuswV9hV1F9F0w7qwn6TijZP3B0V4ftUtkkY19JYYZrQdTPLEtzsSiwnGRb54d6Tx9FwzUVKQAY73kPfZxwOma2FrlCaGpXtYJwhB4Oj+bxxVJSkZRy1baGMGKpN1baD9GSxc8JDOj6UcZdMIEFE5FGojNerI7QzNNaGjT0GFsZfGxa8bFBRibCGeAjSf8jQ5QD3DFIK+PRgB/9V9byjNvfeQ/UVx9+ykR/bhT4HPUnUR+ZSsa0PEB5y+M9ngwmGOFjUPvlvj85NCI4oPoqpeMsp8PZ74JGEij5+/P7YfZsPbeSp0Y/t4B88FhCUZb9+n5xLQB1iBe5Ep9zTxs8YC6odQH4C4e+9hxLinbb3O/8eIIb9lb4K3DD3xT3PFaHP32Fe5YxDHR/b+yP7/dvH/7S1i2Tio23Tv1cRzuO+IDeYOkREhP8OdfzYnQYN5/F11riPinhq6w6bmwJvfr6BlAKLsyme/HgWfksdXu5qlNsK25s9pot8kGZ+y5s5+UMTXMQLpCIeJHAO/g4T2WMiE0yDr/OhYZ1H2XbYB8XE85stfrneYN+073z+PEtod2mW43w+wcU8R6ImdyZndWfIwlbW+Plqjb9frfHiZotN1WAbJiFEbNDEwwZ5dTihYefBOoeq0yjbDquiwoubDZ4tZ/jhbI4f6znOZjlOZzmpnz4CYx1uiwqvVzu8Xhd4vdrh1XqHm105TGarfgdOkyKkvyl6TwwvEQAOraEdvaJucbUtkSdrfHcyw7OTGZ4tp3i6nOLpYvq7I560dTQ5rFusigrXuxLXu3Los13dBhKDSI/WmGGh0BNN2tpAkvTVWN4iAOHhHYM31J7a0mKjFAJF0yLe10cWFJo4zoL9YZ4lOJ/lOF9McDGfII8VsiT6KsRTP5xLLpGIFBNvoJ0O4Z1m2E043s14KGWHdX7IRrvZlbja7nG9JfKWCNz2aKGsB4VGOyyYzUE9EwiNu5kofaYQnbX1gPcOzrNBZdNbiDrDUbd6mMQrEeTgA2EhECsiEnt1VBoUUdNgnZxlCRZhkT1JYlrgMfXVrBFfAsbSuFC1GtfbPa62e9zuqoFgL+p2IDWaQAK2R4SGfquPDva6Q1beYIf0AGMe3lJgqmEMnLlhsdZqA9nezT45qD2IVEqiI/IwPCaBBJn1ysM8wSJPh9+L6N3jLGMYAjU7p4OlpEPnzCDNpnwDNiyOvhS8R1gMU19sjha+Rd2iqAJZ0RLx1BzZ6ro+7y/YgA5kkx/G/rv21MPiwDmKS/Lewrq7/cEZQ6M56tZAyXaw3algveuJpUlPvKcxlnmK5STDyZTUOCeTFJH8sFXhwxAAywC+BHyDIfAETfi3ocdQ5OTrXoveA01nsNpX9Aiq2lVRDfeeom7Qajuom1pthrHuMLYdyIt+48h7T2/HEAllLEdnLCTnaDTZx1cFbY71qk0iqGhM+7qgReC/PTvDf//xAos8/cqvfz9471G3Gru6xbYksu5YcduT6wc7pAnzBRsU0W/Z7PprCkEpCiIPHAN8uAb7Dc1a9DEJLWIphjEsi1VQytPYdTLJcDGnDcF5ntJ8IY4e/D7jvEdjNQpTozA1WmsAhOpyOCgRHIiQbwNJ5eBRmRZ6CP/mQ9vaPiMyfFFcIBUKlXXB1qdJjc8E0lA11CEQrIzyZOhvIkyD+qkv8f5FwADmw2L/U16CHZECD3RqDAzgh83O3yN6S33415d4hTu2/Qc9MjtkTn5NZfPnvtZhRvLw58qO2vdbqrw/FezOf7/9eT8y4klje1Pgzc/XuPjhFBc/neLHf3sWJH3kN//l318R8XRb4PTJHKYzA6HwrQYlwTimkvyVC5eHAEF3JG6/29WKS6Qi+iLB4jbkHa33NX653uD/8/fX+L///ho3u/Kdz3+6mOKPT07wx4sltLFIlMTZLMfxRdt0GuuyxptVgf94dYP/8csl/vrmlpRV1oaF1RHzfnR8BwvmaPFQtRqcATdHu8g/ni2wq5thQRAridNp9sFLw+NAPP3tcoX/en2LF7dbvLjdYL2vj4iSQ4jj3c1fku+CsUFGznAc3svw49kCP+1KbKsGzntMkii0y+8Hxlrs6w7XuxIvbrb42+UKf7tc3bFvmaC+uRO224df+l606vv/34EfnnBoT9oJOAzQxzlQ/cJtEuxbyzzFH54s8efuFIIzeJ9BCoH8fpVGHwAMkikkPAFC5QvrLKw36FyHznWw3t6Z3D0E+dQH81etxuVmj7+8ucVf39weTfbLO3as/vN7fH29MxD5XX0Uvjrvwe6sQe9OJlg/xxwmGSF36GgHTYRMtFgpTNOISMN5jieLKZ4tpzBuBoDk4fE9yOPHChpfaNd/VzV4ebvFX96s8Mv1Oig+S+zq9s4i63ic8Xeuo/6Yh865OxQd+hFhoYG3JjbHE8rDdfXua0wJMaijlpN06KOniymeLUOGgQ99+d7bP+2qT2Qy5I1oR5lPjFEwqOxDMr/wPdeDFqh1q7Eta7wJmwxvNgVugopyWzUog5pJGzv0gTvuDxz6Be/ol19fN6SytsBRnxyu/F+1Pw790BO7ffZWHkd4tpzih7M5vj+dw1iHSAosJ9md4OVPAhMAS4+IJxvUTuGMe7vdN6hq17dt3Wnc7io8v93g+c0Wz282eH69OVizOn33vnOHNP9IH3nAw4a3d3Tfad663zA2zB+PFw1fB4drdV+3WExS/PcfLr7mCdwbzntUQWn7el0Mc4XXq92gSGu1ubO54f2x8vEoUPydc4XDNeUcoJkN/aHRt9PbYfGc0X1kGazez5ZT/MvTU7qXMZqrJV9gM9AHMqnQNXa6Quv0YAs6Dqd3fWW6sLEwqJa8IZKqdw3Ah/mxhWc0f4gYrQEaq2GCrQ8AEUyQd+xHLoSS9+uGqUyRyRgPpXZ6L37LoR/ytL4y4fGlcJd8+p0d+3dE+H0p0ulLH/tL4zGd+6NaHXhHpTJ1awZfbO/L7YPeGGNUXaM1MOZQLvJxDEwki61DFSDv/RBGyBn5TJ33ECFQ8EvAg+x2tGNvUQYr2qZs3vn8WEnMigqTJMbZLEerKdCwD/bU1uFqs8ffr9b4+9UKv1xvcL3dY1e1d3btP3hO/u5EHsGGxwDc7MqQgUFQIXepDzeOjhaw3mPY2V7tq0F99fyGzmlbNqhafe92gic1yDBNOnIj3hYVVdLwHomUZAOUcrCFPaaF9fGEvTNmyDNZ7Wtcbva42hR4vS7warXD6/UO26pF3ZIl6KE+hn17Hi+i34deTdV0BmD0WSubDudzUt2dz3JasCURsuhgjXioRe7xcQQTUJz0za1rYUATR+PtwUd9/LefOc70RFPVddiUDdYF2bRernZ4eUOk6aZsQnZGc7RIfjj4O9/cr6+OwQDUUkDJDnXXHey8dYdt2eB6V+EiEFFPFpOj61iGHIPHC+/9EHRcth3W+xqrosJNUeHFzRYvb7d07YQ+qlr9DkL7Ac5j+M9dQvG+fSQ4g+pI3dHnS5UtqTnX+xpX2/3QP08WkzvB2HfPw4f7VdhAGWwfbqj21OcYPMR1SZZuN9h9emVF2XYoqha7usFmT5lavRKjLyKxr7tBNfMl7qvH18nb19CHQGHnFlVDagZtXQhopve0rZpgI0owTaIhwPw+18rxM6jCXQf4lr6CBzVUBjCFT5ctfBqOQ/PrYKEv6hZv1gVerujaeROs8NfbPVlQg/rst+BX/fIJ18nXQn9p7AMp+q1xbPux3g1zhV3V4nK7x1WIKni12uHVaoubXTmE9fe5nb/5HMJ/DmT8+/us0WZQCBvrBiXdbVHifDbB2TzHPEsGdZTgfPikf+64xBlHIiLMowyAHyxwjDEkQY0EhEBxZ8CAIcPJhBLy2plgxSN7aMTlkOt0Ek0wVSlSEcMommNEQg3EKMchDwYggsvCIw0qVLLZfTnl3qe225fcfPi9KpyO8aXfwz9a+/+W1/xHa4uHwGM878ezeg7o28hZD9MZNHULKcUQIq61hdUW1vSB4/6bk3geFA7YOYPSNLhpd7hud3BwOItmOI2niIWCcRbGO6p2xwS8j775ufdBuUXdDPkX3mPYZa5ajVerHf7r1Q3+18srrHbVJ5FOH4IHULUd3qwL1J2mrKxIUlhuCJo8Jp6c99iEXe8Xt1v85c0tfr5e49VqhzKc+0OhbDtcb0u02iAN2RyC8yH36VERT8Cdamgvb7d4cUsk0/W2xNVmj3VZD+GtbcgF+kLc50fRL8CMo5C8om7xerUjS+OS7I3PTkihkSiqfPelJOUUEijBOEPrWmivUZl92GV0YGDwvidKP/8c6k7jekcT+wMJWGB9FLBbh1yNL0E6PQT6zxmMRQUiguuO7E9vNgWyOMLTxRT/8vQEnTG4mE+wyFPInIP/DkJ9yWq7x+VmT/2zoqy43lJc1G2o+Gi/COn0EOgD6r0H9g2psnrr0ct4hzyJ8IfzJf7l6QmsdxQcn6W/Gs/6+1nnDBxcqBRDwayt1ah5N9jJHwptsEkVdUvqv+0eN0WFTVljHbK0yrZD1RCBW7dmyDoz9usUAPgUWOfRGUPjSEHvbx0Cmt9sCjy/meCn8wV+Ol9Cnc6G3Bt+r3HGg1ROmhRPvqQHHCjvaQ6wKSgD6gur0vyhKMJtUZGy6WYzZC5ehY2qfdOi6vRgyRrxbeB8X5nT4HK7x8tbIgevtiWut3tSdAayl/JBD1WKv/q5Oo9WkzLOOI9G03307DbHs+UMT5fTIRIhkhJcsUF5/bnoHQwcDPNQQMGGuUBvewMAG+bz9DcUCNyHD/dV7wpTo9A1ZiobHqmIkIWqWjyEjXeB2OqVk8fZNL2aVjGBVH7ZMucjRowY8aXxeFbPAA47c4xCsjuDtu5gQ5I/A2A6A2MoZZ8sDt+e0fPeDzsde9Pgst3il/KKbkA5EU0eCBN5DRdKOj6GiXJPPO3qFmWrhxDy3hq3rRq8Wu3wn69v8P/7+RI2lKJ+qJ3lMgQlX2/3UEJglsU4nWaAByIlMTt6rvMe27LB85sN/vPVDf52tcbPV2tcbfeD7PuhUIU8g/W+CiXKJVW5YxgqfT0ahN3LPtPp+e0W/+OXS/x8tcZ1mEzWnTmSyH/bT56xDtZ2qDuGXdWCr3bgnOG7kzl+PNtjtV/AOIcsJnsjBwuqi4c/Fw4OxRWkl9iDQbsOpS3RZzsJJh/kOq07g+ttib9ervDXyxX+9oasDK02Qzn3Y1vQYwXZy2h8qFt91+oF4NnJDJ0xtIDmlEk0TeNPzVz8JijqFq9WBf765pb66HKFl7e7Qx7Qke3xscL7Xq3qBvVjXzWv76fNvqZ7UKTgPZAoiTmS46PQeOIM2pA9wkMwLhFSGo1tiXh6oMbwADptqJrjtsTfr1b4+9UKz2+2QyWtou7uqDuHvnik14zzfsiWoryjGpwBbzYJ5sFqXHWa7OWzDAAp1nCvSr0egDsinvaA25LCiS0APgf4FECCL008Uc4SZTXdFhX++uYW/99f3uDNusAqKDt7O9JjH9/+GdCT0622uNoU+PeX1/j3l9eUARmU48fVa7/leOe8D7ltFvumxfVuD84YlpMUP54t8EOxQK0NlBA4m+VQkoPjt60JBOOhklzyjns/kUO05X0IXR5CtMOzPIDbdoerZgvrHBZqgotkjrN4PlQJZYxRlpMKeZJHlrJfv+qRpfdb71aPGDFixG/AoyKe4lRhcTbFsz+eIUoUdGdw/XJFpTU5DbdN1SLNY1z8cILZyeSDlQeGMpMHbS8tYBFuFOxhSCsHj8q2WHcF1t0e1lmkIg4hrRIOJMutbYfadPCeAsatd5BHd/VvQaAZ54bw8KoJGRnwYRG2C9lJW6z3NVpthkyGh4L3gPUeFkQqvVrtkMURrPNII4WzaU7ViywRYVfbPZ7fbPHz9QY3uxJlq7/IbpwH4J2H9g6bcF5ScGRxOKeZHfz+36J6Vx/Wbh1ZhHr7yavbHf5yeYvnN5uw00xKmoeSyT8UaL14bL8EtlWDaCNgPVWVco6sG301oFkW38lVeQhYb0OgOAWLA4BkKljsHA41Mj5dWdkEQrdXof31coW/vlnh1WqH26Ii1Ze1v8uF2KH/6F/9pNl7IJKSKhQlEaL3VKh8LDhU1WrwtzergXB6sy6w2deoO/1oiY2P4W2Lc08OMsaQKIVFliCP3xXmzxBxhYlM4QHkIkHrNFqrUdkGlWmhuKSMJxzus8BvuC490Fk7VCld7StcbUtcbvYoago27m3gvze8PdaVDeXaGOvw/GaDNFJw3uNiPsHFYoKTSXYn8+adx/QuWOtKwFdEQA1L4i78LAGY7s/g6K8fxhrZ5/0U9cGm9fPVGn+7outnta+wbzp0xnw2ecGAocR5f589VoK8nTc04t2guYKDsR63RYnbXYXrHeUL/v1qjctNgW1JCqeHVI4/BN4Vi7BvuiG3lNEgBGMtzmb5kAnVV+0c5vv3BaNsw7d3uo4Jn2FtwYY/eesbIBMxFlEOD4+5ypHJGIrfrWbdW5jD/3/9vo8O+Zjvo//MKE2FwhQodAHFFVKRIhEJFFNQXELx31dRohEjvjQeFfGUZDFOnszBBUddtmiqFpfr26MFDiCVQD7PcPJkjuXFDHH24SRiKsV5FFQZMik4f7iB3HmHKljsVt0eALCMcigukcsEDKR2qk2LwjQAA9oQQh7qGn2zPQxrHZpOo+BssNrBA7uqxfObDf7n80s8v9kOIdtfcvtr3xDZZa1HoiTO59RGlFMSwmU3ZLN7frOhsstfejESJtav16R8OJ1l+PFsAWNdKLGNbxK8R3ZICqlelzX+frXGX17fBosD2Ru2wVb3rWTyn4q61bgtStSdhrW9RajEn56c4l+eniCPI3DeB14/zGtab9DYBo2r0TkKmY95TGSUNwPp9DktWHWabKE3G/xys8HPVxv8fL3GpqxR1B2se0ij0rdDb4XkjCNWEtMsxuksw3KSIYvVNyFm74td1Qzjyc/XG/xytcbzm22olPb7JZ3eRh/GyzlDGinM8wQX8wkmIYfrznNBWSYMQCqioZR3Yzusuz1WrAAHg+SCyEY8CJUBbciCu60pk3C1r7DeV6HK5uMizn8LTCDYjLV4cbOFcx67usF/++4cSgrM0piyaj44R+mJpz2RTLAARFgJd6BqdhHZ7eBA9aYf7jr0HkMBhE3V4OerNf795TVe3GzwZkN2rb4i52+ZMjDOIDmHDAVJiITiAPxgL+/PY1RTvR+kgCRV2qvVDv/1mgpaXAXC8Kao0Gj9KHKo7gNtLDZlTYpCa9GEipd/vFjiT09OkScRmBQPOs9/Fz505FgozJEh4nLIhnrX8993jMd71xxxjNKUeFm9wvP6BSZygpNoidPoBLnMkCEbiacRI97C4yKe8hhCckyXOd78fINiU+Ly+S1lOlnKdHr6hzM8+WmKix9OkM9SxGn0wWP2O2HeBcWTB1iYg4kHGtrJz93iNiieltEEy2iCTMShMgXQOoPKdtibGpwxtE7DBjXFt0ybJ8WTpiyQVg9VgXYVWdr+x/NL7ErKBvJfeEdx33Swqx3W+xqnswz/8vSUMkWCBeO2qHC52ePFzRbPrzdfZZLpgZDtQiV/fzxfoGjawZLI2bfxEHmQXL7RBpuywd+v1vh//+0V/na5ohDrtnt0KqePoQ8UZqxC2XS43ZW4XBcAgOUkxZPFFBIc1OQPc70Yb9G6BqUpYb0diCe4UOXOW/Ql1j/5/bREPP3vl9fBtkXZW502/1gLpKDOkJwhVrRw7neeZSgM8Vixqxr8cr3B//jlDV7cbvEyZKPBf06PP14wULVByUm1uchSnM8niKSAfMvaxQAkXCEJE+a+HRrbQTBOwbneQTLxYFsmHpQrWHUddhUFuK+LGqt9/SDHf0ygarBEslnnsa0avNkUUIIyBH84mQUy90P3lmPiqQRN5STog9sBqAAfA2jpub/ST/w2eBDpo63Dtr///PUlXq8LlE2Hsu1+84ZHXxFOcA4VPqc9AUWfl1AAxbgQlo1/rIv2AWGdR2uo0MDL2x3+5/NL/N9/ezXMFeru96Um7MPpt2WDom6x2VP2Z9sZ5HGEH07nkIKD+XdIib4SYk5h4jOVjyTSPzD2Zo+X9Sv8z+3/xkm0xA/Z9xAhW0Ayhewbn9+IEY8Nj4p44pxBKgmAYbrMcdGdQEgOZ0MGivPIZylUJNE1GnEawTv30R0NhrDj0xh0jYYxdlBCCSUQxRJRJCGVhFSc8qQ+YZfkboUZD+up6o8IJacFGBqn0dgOtW0RcxXCCvu//na3pd7vD2AIdX1xu8XrTYGbXYVtSVat/jmRFIiUQCwllBSIpIASfJjv2VCtrNYU+mqtg3H3C7K2zqHTRHwVVRvsFvvwKPF6vcObdYGy7X5lHJCCQwqaoMaKyolLIQbLgnUeXaim0xqDTtPu333mqd7Tjmpn7JBB8mZdYJYlmKUxpPgw+flQGOwNwV73er3Dq1WBX643+PvlarBvdcZ+1qRf9LvLgkNJSX0rBQQ/lKXmR9Lwvoy87W1/tq+mSO1rnBuqHX3a+6Qg3l1N5duf32wxSWN473E6zXAyzTH7iNLxvmBgQxUZKntM5zpYiRhDIhJIdr+h8rgi17FV9WpLGTXGfrrKqW/7fgEWCQElOURQAgz9wlmwCBxMN8eZOP1nx4aql/3Csa8yeFyd6lMgOcckiTFJY5zPJpimCWIpqSLpbwx6/RJoOo26o2Dql6tdIAS34frpPkuh0V8jMgRE94QO9REju3hvnzpS7PW5Xsdlyvsx2YSx8/h7F66pTz3FWElMkgiTNMbJNEOeRFAiqEje0UGt02hD1aY+MLe1GltdQXtLqsN3+UM+EwwMWaxwOs3RdAZX2z3SWEFw/pvs3TyUZ6dxTRzuE+H74dphh6+MHez5wzXhPIyjqnu9ysIEAum3bMhQlmIHzhkug1UtixSWkwzLSYpJ+r5xjlNweK9o8hrwgaRjHICgkPFB6fSw84ymM0Mm0F/e3OLF7RabUFW2M/be/dXfY2IpkCcR8jhCFkeIlBjmGkrQ43is88CgdjKhT/p7O1UTNKjabqiCa0JA9m+14/WfJ1I70/UjOIcQdJ33Px+u/fB5+/Fs8WD3rPvCORfyAz1udnu8WhV4vd7hP19d0zyq6T5bTUhjHQ/3JI4ozBdE6CNxdC0xxg62SEebnb31rw1zMh0+M586tnkQCbVvOgDAq9UO8zxFpCQu5hOcTjPKDP0E3OeOda/1wds2vBH/kOjzvlz4Xx8GP3LgBFojUKSFDepp52kzJOIRIh5B8kdFRYz4wnhUvc04g5CU5zRd5pCRxPQkD1Y5IoqMttCdQVO1SLIIzt7j8mYMzjrUVYv9tkJTdeg6A90ZxInCZJZiMkuRZBFiRBDyU1UsfRlUBuZpQtRYDXgKKhSco7FdIJ46ZELDuqCY+ca3pT4ryAdL2fWuxC83a7xe73BblNjVLYyx0NaBMQqinaQxJmmEaRJjksRIosPHqK/cs97XKJoWrTZwmsiJj8E5Dw0L6z2KpsWqqHG12Q+L9xe3W7zZFKjCJKMHYwxKCiSKSurOswTzPEEaqWFi2Iag3X3TDuW5O2tDZcSPt5EDWST2NQVcvlkX8J4sgV9zPmmdhzYWZXPYufzrmxUuNxTkSuWHP28xJDlHEknESg2L1CyOEMm7CzXBeTgXB2s9dAiW7YxF3XUoaqpM1XQaBg7efvpNuDUWvu5gQw4K5wyttvjzs1PEofLhQ4AFi5hgkvqZUcaZhELMBSSXSEQKcc8bo7YOu6rF7b4KCpotXtxQWeq605+18OGcJvmRDORBclicxUcT/p7o4UeL5z4Y2zgHEywpfen5NhDETSBhtKUqPZ9MPAlBpNM8x/mcSMFIEWH5+GgnKtG92ldYFdUwrry83YYqaZ++888YGxaZSUTXTh5HSCOFOFTElILaYyDjQuB3bxdy1oc+coOSse0MkWSavjbawFgGPajw7o9ICczzFOfzfCCe+uv57UWUg0djO+xMjb2p0VkqiqGdgXYWnTdUUjzkej1EDzOGoZgAADy/2SKLFaTgNJ45fPJ77ok+zhliJZHGCmmkkEQKaSSRRGpQ0fSL6H7h7NyBiNXh/tdX3SvbDlXbDYql+9zb3gcTNmq8By43e/z9ag0pBP5wboksfC/xJACWAnwGOAP47RHxlFDIOER4PPzmVqNp4+M/Xt3gb29IzbmtGrr/fELF1EgKTJII0zTGxWKKJ/MJzmY5Jmm4//R9JGhzYCAGcSBsjek3OwyKpsO2bLCtGlwHG9ml36PpDDpr4X6Dlay3FAvBoARtcEWSru/hq5KIw+ZXvwEWK4E/nC8wz75uQZKewNbG4mpb4j9fXeN/vbjC5WaPy02BqtOw1n/WJhXnDJEUYf4TYZJGyJMY8UAUHq4lzvmdjaljgrDP2OvJQe8/fe5i+iq51uHVeodICRhr8S9PT8EZGzLTRowY8W1gvEFrW7Sug3Ya2lOlyomaUOGSx0VFjPjC+Ca9/b4bC+t37TmQzzPk87s3au88bt9ssbrcoNhUyKYp7D13a2wgnrbrCvtthbrq0JQtskkM3ZpBoi2koEzOT7xRMRx2TK136CxdWIJxSM/RWI3GdWitHspQM7w/PPRr4Tjcex/Kif9yvcHrVYHbosK+bsP7A4TgSGPKBzmdZjiZ0GOSRoM1pWo7JGoHIIR9etrVvU+EsvOeiETrUNSkeHqzoTDxv12t8Mv1Gtuwq9qDgXYfk7Cjv5ikFNI6n2CaxsOkte40VkWN1b6C5BwmWAu9+/iZ9ZNcE87rZlvizWSHREksJ19PSOuBoLwyKJoWL263+F/Pr/DvL6+HBeqn7l4eB29GYRKZJ9Gw477I02Hy3KtYpCC9Q2dpp7LTBlWnUbcau7qBFNWghmLMhs+Y+yT7kg67oHWnIQRHF6osJpHEk8UEzvthKfVbriGqXMchmYBjFszT7qwUEjFPEIsYCSfF0/uW2MfjmbYW27qhbKdg3Xq12qEI19EnnVtYONMiRyCNFBahGtYsS5AlClmskCgFFchBcaQKcCFwtV986DDpr1pNC+imxT6Ur2cMaDVDCwunD+9noAw/0HdCcEzTGOfzCc7nEyKeAhn2WHDcR01H5HivdqI+Kj75mAwAgsWwV1pO+msnTzFNiSDMYjUoO3oCqicID4omsgx1lpQbZdOhrKl/9k2LgtOiuy/wcHyd+6POeV8fxVJinid4upzidJphkkQDCfaOxkLjNHa6wrorUNsWte2gnYVigYzlB2XAQ93D8liFRbw4qLKkAAzgvP0gmXEc7tufl+CkQCN7IZEb05SUedOwedIrNXqFWk9A9VUMqVobEetV22FdNtjsa1JiAWGx/PnVv3qysTMWV9s9YkmK70RJnM0n71+EM3ZQPLEGQCCeGAO8Atix4ulh8p2Oz6VuDdmIX1zh75crrIoKu7q9d0ZQf99JlMQsS3A2y/DH8wX++OQEP50tsJxmOJmkmIa8q35cexd0yC6iTS8Kpb/a7vH3K1Iily1tVPmWNrY+B4NVNYyzRLgopOH6ziKFNFbD9Z5FKtxL6euz5RTzPPno6zwk+k2qRhtcbfb4z9c3+H/914tBkd7qT2sLFv7DwKAERxodNvqWU5ovZIFsJ8V5rwTjZC81hyIxdUdKtChs8vZqd4A2bz4lW886h7pzwaZP77uoW3DOcDJJ4fwJWDjYt55vjxjxzwjjDBrborQVWtugdS08AM44Up78Lqoej3g4fBviKey8WxOsA5Ye1jhYY+nR//t4gu081ldbrC63qIoGQnBM5h9Z+AellLMOzjhYbcEYQ5pGSBKFKFYQSkBrC6MtnO3zEO5/gxKMY6YyPEtOkPAI2luYYFGgLB66oc5UholMcRpNMVMZBHs8CzOAMpZerXZgAN5sqCIaACzyBIucSIiLxQQX8xxnsxx5EpHiSd1VPF3MJ/jxvML1tsSr1Q4vV1vsqjbI4e8XNlrULV7dbqEEx5t1gavNHruKspaMo4pyk4R22fqg3It5jtNgw5pnCZJIhgkrR2dot3pfd7jcFnh5s8UkibCtmrAI7z5OQHmPRhtsqwa3RY3zWTf07deAcw6rPeVcPb/Z4MXNBuuSqg1+iuVDCQqBTiKJSRJjlsWYpgktxhJSsuUJEVBZsOQMiid2sA31Nsq+dHtnLOpWo2jasJPZoagbFFWoHBaUZtrYwQLwMXhQOeVNWUMKjterHV7MciRSDuf4djjyp4AIYwHJJGpfo7Il9mYPZSNETCEWCWZqjjnjiPjHLZWtNrjdlfj75QrPrzdYl9W9ycBenSE5xyyo9uZZMqjPJqFfJsldNU1POAnBgj2QjkVqRj/YGmghTeqAtjOD8onKVZP9rOlIATVYVnrlTVjY9Y/j/DAlOGZZjGfLKZ4uyWonHxHp9DbKtsObdYH/fHWD16sC++b+pKDghxD1vn9mgcyYpNHQR6R4OigijhU1vdqJMTZYH/t+6q+nvp2bru8jPXytO4NWazT6sODuf0f/JkXB8fWVRBInkxQ/nM5xNsuRxR8IPA3lvmUgZHkw1nEwqBCUm4kYERcPGhzfqw+VFJhlMZ4spvj+pMS2agbL99EpQnJq10gJpEohCSqmJIxtiZJIjn7eq5ySSA7PF79SPB1I27cVT52mjJyy1dg3YTyrKP9wWzbYVA2aTg/WoU+1DFWtxk1RQkmBp8spipoURL1dkzEXqtXVlOvkCsDvALcDfBMsdgBg6HmuBnhf1e63wzm6/zXa4HpHAeKrosK2alBrc6/xHADyoJCZJDGenUzxbDnDs+UUF/MJzsM9fBLGdR6ulw9Nx3pFqAcpxJzHYHedZ0S2Xm4KvFnv8WZT0DzkrTHsfRCcD2PuNNhUTyYp3XekRKSIuIyl+NX39HsipJd5giz6uiHDRd2S4mtT4G+XK1xvS9Sdgbb3t+JzxoIKWiIP5C3NF+h+1N+b8rBhFR0pnvjR9TSMb2HzoxsUT4FYrw+PXdWiqJthvmddiNq4x/n2cQgMwOuw+XM6zTFND3OaESNGfD14eLSuQ2H22OndULiHMwHjKel4xD8Xvgnx5JyH0Qa6Jbub0RamM+haja4Jj9ZAtxpdd1Ajee+xud5hfb1DW7WYLDKc/3Dy3tfpi7A550lSbByMsWAA4ixClFCGBBjofLS9n3XvLfTEEwOQyRjbrsRGl6htB+fowoq4HIinhcoxf5TEU4tXtzvsqgZVQwQCAzDPU/x0vsAfzpfDRPF8ntMEQ4o7i0zjHOpWDxlE2XNFJeM9Hd9Yey9rQlG3eLnahfDsGpsQcK6DXFtwhmmW4Mligu+WM/zhYok/nC9xPs8P9hbeS/NZyLOhBcGr1Q6TJIaSAq/XBa62e1St/ihx4z2pJbZVg1VBpaK1+XoB3tZ5rIoKf71c4b9e3eD5zRabfR3sdfcjcgCalNMEkibl35/M8P3pHLMswTRYKFVQaCghBgXNcQYKcAjupwXaITOo0zSx3FUtbnYlrneUifVytYVxDhU6wDi4e+w+e0+2DlfS67xa7XAyyZBEChfzCWQg0T4XtNgl4sl6i8pWWHdrSC4gmETMYzAwpCIFMPnoubba4GZXBYXeBut9fX/iiZO6KZICF4sJfjxb4IfTGSkLpxnmeTL8Xr1lDTrumyF75yg/6PD1KGPjOEMoXLdVq1G3HXY1Laq3dUvWlbKmRXbdkpLqKLdNCk4LvMUUTxZTqsolHtfY1sN7oGwC8fT6Bjfb8t5qtF5dqYTANI3w/ckMP54t8HQ5xck0xcmkz066m/Ek7vTP3T7qS8G/3U99Js1dcpesrL1ibRcWZ9uqGciZXUVhu9Q/B5VQoiROJhl+OJ3jfJYji99dYakH2U8FJBNDgQzGAMUFUhEhldGQg/ZQIMsioITAPE3wZD7B6mQGzlgg3A7EE2cMSnIkSmGSRkMJ9UWeYp4lWOTJncVxP5YNKoxAOA3ZaKFf+gyuXsF0nKt3uIc4VJ0eSKfLDamEf7lZY72vwYLt51MsQ977kC9Gn4E/nC9QVC2aziCSAlwJCGYoTNytALcJ3++Dxa7DwM54Dcp9agBv8FDEk3UOVdthWzW42ZW42ZW4DTmQ2tqQ2/Fx5AmN3U+XU/zxYok/Xpzgx7MF8qAYSmM5zC1EsIJ+6LPKQrYajYMxIkmVNRd5iqfLKf6lPsF/vb5FrG4Gy733/l7EE41tpOb87mSGn84X+OlsgUWe3s14Cpayw7/5YK2V/LDR8zWxr1s8v93iP15e4+erNW52JRqtP2muII6qYJ7N8mGucDLNME2IgEqiu/3F2SE7joXr6Xhsc0cke5/NVbd6+Exdbvd4dbvFS7Yb5hQ6/P3H0BmLoqKIhzfrAmfTDIs8xZPFBIxNRuJpxBfEt83rfczoXIe92WOtN4OKPuIKxpt73zdG/OPgm1ntrHHoWgr71q1G12rU+wbVvkFVNAMB1Tb6zt9trnfY3OzQNRpP/3AGffT7d7wS3ex6tZMhVRMDEMWU7eS9D69DJJi17pPnaZxx5CIeyqZ6ALUlW50Dg/cOkgvMVI6nyQIzlSHh6kEn7Q+BKiw8r7YHKbwQHMtJij+cL/H/+PEC353O8f3JDOfzdy/Ce5WF8w7nsxydprK3TUfZQ3VrYO9BOOwbyvchYqVXYdDfMQZEUmKRJfjuZIY/Pz3F//HdGf7tu3NcHJ3X+zbj+0ljP8mvW40bXn6UdPTwaLXGLgSfl233xct8Hy9MO2NxW1T4+9UK//7qmib9VYPuHvaGvj85pxBfsiTm+NOTJf712Rn+9dkZ5lky2FF+y/kCdAltqwZvVju8XheYJBE8PMpwvdaMKineJ0+IrC40QX2zLu6o2WZZ/JtsdxwMAhyOS+pfSzfIfgGquEIuc2h3cicu8u2lUB+c2nQGt0WJ59dbvFrt0IbMrftACTHYF54tp/jXp6f4t+/OSM23mGA5ScNrfxnLQNl0QyDvbVENj5ttOSwKpBBDK/SLiSxYAJ8uJ3gyp93lx6Z48iDFrPMe+7ojK87lCmUo+X4f9LkmaUzhzz+czfHfvj/HHy6WQQk6QRarB7GAvguUZULE065qcLsPfRTI3ZttiSRka1nv0Go+vOdJEuF0muG7kxlOp9mHFU8I1qJgQ+UsKB09g2QCEZeIuQpV7e5asD73PQ/kAmODgu7JYoKiJqXspqxR1N2gFIv6MOqESKeLxXRQvZ7PcpzPJwMJNc+TO7bPh+iWVptAPLV4frOBEvyOmpdUgR+2B76NOqjarHO43ZN1rWo7AFHIOHJEMrkN4G4PxBMsKPMpArHNhireoQu/A+5Oaj6vAazzw9hwtS1xW1RYl9UQ7Pwx9ITrNI3xdDHFvzw5wb99R/eeP16c3Hnep4AzBi7oExtJid7RZmakVDPGIpISnbFYlzU4KwfL18cgOEMW07Xz/ekc/+f3F/jvP17gbJa/8zrv79fAsW6evvsaLq9+TPaeqiW+vN3if7+4wtV2j9uiure9rifKYyUxzxKcz3P8eLrAvz47xb8+O8OTxYQsq2GT6nNwPFfojMXrMFdY3mwgOEOjLTptUYVsRH8PFSHZljuULWWmLfIUeRLTpnAc4XT2+XOF43Guj4+m+UtvtX3/2fF+HMWv74v9vKJ3SPTHfBs0RvJhbnI8C3Hw8GEB7+8ctY88uPv8O+8jnDdnnHStw8aiv3O8u88/2kD51fHoO8aocEu/zmHD1XBoL/+RtuvjSO58fXvuBQ/nifg+fs77jn38nP4c376Gj8/TeYoOv3ucw/u3/v7FFB4Kvz5Hd8dy3//u8DXY4vHrz9F7+8W/PyL90IZ8uHf/ul9ofm+9QWkrbPUOq24dNrU4Ep6gCba71rZ3jt1/bt635dCHuDuEz3z4zL3vHA/XDP2t9ZQnx4eNtaP+hw8B6H3l8sO5HLeV8xQmT64JuraPY+X7Pnn/uHAo1vT2Z3s4RriuPfyd13nf2OX83Xbpe+W4zx8DvgnxxBiDkFRNjjGACwoV162Bsw5N2YJxhnSSYLrMh7/zYYHprEO9bxAnHw4C9x6whsLIu6CeMh1JwhmvBxuf0aS6ihMJ+4kSeXodh8ZplKZBZVtIxnGWzLGIcrIUwSHmCnOVI5cJIi4hHrAU9ZdAHElkEU3sv1vO8N3pDN+dzrGcpB9VmDBGi5Y0UniymODPT8+GHf6ibqHvYU+zYTfMwUMbN6ikehn7LIvx3ckM//LkFH9+eorz+eSO5e9DSCKF83k+ZEOsQmaH/Uj1PVK0WOwbUhnUrYa5J6nwW1C2JEdfFzVerXa42uyxKiqUbXuvXVuA+nOWJgcLy+kM35/MiSxYTDHPKIz97dLqvwWRFJhlCfrNVbIcpHi1LoZJZhvCaO/Tjs45bMoaz282w6T4ZJpiksTDzvKnj6thhxYCiUgxV3PYIAW23gBgEOzDyg7r/GCFWu9r7OsOdXeoLvixndr+xt0vbr4/neGnswV+PF/gyWKCWZYgDuPclxwxpKCsNAYG74ncnaYxERbVDEVNn/td3WBfdwMhvAiKyNNpjjyhYPHHlqVhjCUroTbYVjX2TYdWGxhjP7r739+4YyXx7GSG709m+OFsgR9DH53NyBpE2WdfDowROZlEHkAMxikjhxaGExSnzUGpVrWo226wUv7pyQm+O51R0YVYQYkPLBa9h3YWtW1Rmgba9dcBSeMr20IwjpgrOPnw4x/ZqGmc0pZURo3WZPcJNsZJsPz0YxpVGE0GG9AsjZElEWIlvsiCvw8sn6TAxWICYx3SWOH5zRbPbzYQfIN93aINtq77zCn6ybN1HmVzIHhOpz5UDhMAmwDigvKbrARYuJfyKcBmoECsPZFSiPGQ4RnaWmzKJuSibbEp63srfiPZh3ELPA0K5f/ju3M8WU4x+UIqFFLQMSBkhv3pyQk8gL++uYX3VDl3IGrecwxjHXZ1g9frArGSuJjn+L6aIY+joTri8efL+aCuD1VDe3WP6iv0fSZJc1+0mhRdZUOK8TfrAtc7KhLT3pNg7zd0ZsFa+P3pHD+czvFsSYpWIq7Javi+3K1PAQMgQnTC+SwHZ3QO0zTBq+UEr0M1vl3VDOrc+6zzy6bF6zVFR/T29SeLyVHlwU8/934h2bgWpSFbfuNatLZD5zpa8PnDUr+vjLtQCyyjBRZqcWfBr72BcQata7E3e+zNHpWth0qiHp6Mzowj5hEmMkcuc6QiQcQjxDxG5zQqW6E2NbTXsN6FytodOqfRuQ5xeG7E1R2yonV03t57zNQMMzVFImJoR3Mg48xwPO11KDLRgYfogV4R3h9Tu25oi4mcYKammKkZIq6geATFJBrboHENatugMhUqW6GxlPlD5Ikf5g8Rj5CLbHjPSXhw8IF82JkCq26NVbdGxBRSkSKVKVpLr9G4JlznNFYlIkEqEqQiRX7Unsd93Adg17ZBoQsUZo82tJOHh2QCikeIuMJVc43CFPB3KpV/WfRV4rQzKG2JvS5RmD08DuPxcR/25IlgAplIkcsMmciorUQKyQW1la1R2RqVqVHZCtrpA5nIDvRVImLkIkcus0O/8CSQTfTZLUyBQhfYmQJXzTWumuuBeOo/P6WtsGpXyOVhnZ+IBCfREifRya/6xXhLzgRToQjXi3Y6tIc9an2GLHwOsvAe01Cd+qa7xU17i9rWOI1OcRafIJf50LeVqXHT3eCmvQUAzNUcCzVHKlPEoQrf3pRYh89cJtPhOdrpcM21KG2NylSobf0OEhiQTCKXGXKRI5MpYp4gETEYODpHQey1bVDZCqUpkYgES7XAMlpCvafKdmkq7M0ehdkPJJVgPHzOs+Dc+Pb4JsQTD9XrAEXyZClglUS1b+CsR122yKYJsmmC2TIftsC8I+WSbilEMEqjcJx3wzuqeNITT7ozIcuJFrtta4jIcg7eeWSTGOYzrFN9FaCtrtBajVRGmKkMkolhMJWMI+IKsZCUm8G+dT27DyNRpIrpd8m/PyGlUx8c+SFQuWOGNFa4WExo8Q2PXd3gxe32Xq/vnEcHG0qIU+UgxigAe5JEOJlkeHYyw788PcGfn54ii6N7S9nTSOJiNkGiFIqadqwl5zCMBYb53X9HqiODogbSSKHq9FdQPJES5Xpb4vWKgqovA/HUWXvvjKlESZzNqM3+cL7En56QxWGWxUMgah/E+xBgACIhMM8TJJFCnigsJym+O5nhL29uITmj4Hrv0QL3Ip6s89iUzVDGvM+sOZ3miEF5M596VfU7AQICqUgxVwsIJlDbGrWtYLz5YLA4QONH3Wlsq4aqOYaKfn2J6A/NkcneQ9fM2SzHv313hv/rpyc4nWY4m+ZYTtJQWlx+8fFCCg7GJKSgRdI0jaFtNmTWUMCyHqxe22A1ipXEH84XOJ1mw4LsIRYkDwltHcq2w65ssCkblKHiJlmE7kEMMoZEKTxbTvF//fQEf356itNpjtNZhmlK9p4vrfLq7WWcq0BAKSyyZLCr9EHCvSpqIAqrJuQlzbDIEsQh+Pd98AC0N6hth9I28P6w82y9Q2VaMDDkMhkWRw+5icJ5UMUsp+CcbHZVq5FGCuezPgeILDTLSYo8jiggXB2Cwg9h4V+GBBWMDwHKUjBkYZPlZJJRMYteTdNQ4PZ9bXfe06bLQVm0h5IU3o84CmHiEQAFKvVXA+AAvwDEU8B3ALsCrKfnsZ7o+LTcynfBWCL+X97uAvHU3GsTCSDCNI8jTEMW3B8vlvi3786H8O0vgb7aJGceJ1PKAp1lCeA9tiXNRZhzsB+omGgcVSnVxkEKjh9O59hWLea5RtpnSB61a58J1mlL1YDDI00UGIu+PPHU9QHre7wMVYD7iqr3DX6XgmGRJ3i2nOHHszn++OQEf7o4GRSdfUXVPsrgIcA5G+IP8iTCNE3wZDHF08UE/yu6oqq52qKFgb2n7W7fdHizKrCv22E8qVtN+VsKwDvURx/CscqhtjVuultcNdfY6l0gjUpYbweFwmGxz/GH7Cd4/AFTOYGHGGI2jNNoXItC73HZXuJNc4V1t4ZxBtqT0ksEwmAiJ7hIznERn2Oh5pjIHIopdK4jNUm7Qu0aaEtkU2krlLZEaUpM5ARTOcFE5qTmAJFJe71HYUo47/B9+gzfpd9hrqZobIvGNWhtO5BXtW2G40kuw/EmAwnkvENlK+w1EXJPkgt8l34HD9ACG2SJbVyLTbfFRm9w065w262w07uDsgiH+00uMpzFpziPz7CMlpjDQ3FF+YieXnOrt/i5/AV/K39GKlKcRAucREvsdIGN3mCjt7CBsIAHFtEc80AEXsTnkEzeITicd+H91ljrDV7Xl3jdvEEZ2sl6h1jEyEWGTGYoTYlCF4NK5WvsuVnv0NoWtW1w093iTXOFy+aS3mNAY9tBUSQYRUdEXOEsPsVpfILT6ATLaAnJBZiPUJkKG73Butvgtlvhtl2hstXQLzjql7ma4Sw+w3l0hkU0BwDEPIbzLpCpGqtujdfNG7ypL4fjFroACwpqwSRW3QqvRXYnP3WuZvjz5E/IRBaIGDb0iwnEzkZv8aa5xJvmErWpA8nahfYn/RWRV/RYRktac3OG6/YG/1n8BetujX+d/Bkxj5CKdPg8FabAL+Vz/Mf+LwA8fkx/wI/ZDzjxS0DmkEyhNCVe1q/w1/LvOI1O8GP2PVKeoHbNQEjftivcdCusuw28dwj6p6ENYx7hPD7DWXyG02iJuZqH+AKP2jXY6xJrvcFNe4ub9gZzNccf858wU1Oo91A3la1w1V7jsrkKfS4Q8Qjn8SkEE//cxFNv4WKcJNLCCjjlKOg7TIhVJJHPUiyfzIfbunPBFld3AGNIs/iDiifgKMi8DzO3Dlrbwep3PEjoLoSLf6Js0nmPxmoUukLrDHIZY65yTNXj6OTPQRpJnOQpvlvO8HQ5xZPF5L32umP0ExHGSOFyOs2hpECtNX653tACmnUfrVoyVLg7AmeHKjjnsxzPllP8cDrH96fzo9f/+HuLlYSccEyzGK/XO8yyBJESNIl2B3XV2+gl4dZ57BsiF0xYuD60vaafWDlPr3W1KfDz9Rqv1zvcFrSD+TEwYMj/maQxLhYT/OniBH9+eoI/PT3Fvzw5+U35SO98zaP33+dETRJQMOskQ9MZSMGxbzpcbUp6Yt3eSxXgvD+UXnYOP54tsNpXuGgm8Iho4f+Jiq1eIszAEbEImcjCjYEmU7ANqRM/0K/We9SdCXk7NZEaxtyLTOOMD9W0TqcZ/nixxP/zpydUESmOkH7EEvWQ6HeCIYEUv35d5/wQDFu2GquCwoXB2FC16T7n69whF6wPVO/JnS8FbS2qpsM6ZFVV7UGR9jH02VtZovB0McW/PjvDf/v+HHlM4fvRF15M9uizbKQA3tfMx0H/vSV4VVSYZwkuFtNBHfgxOO+hvUHnDHhQBQK0EHfeQTAO7e6f6/MpYIwFIpyui6olBeEsi/H9yRzfnczIehqIp+QrhzYDwXbJJSKQgnaepXDOIVISZdthva+HLJ2y0Z80p7DOo2o1VkWFm12JWRZDWwvGBMAyABk8eAgY3xC5xOcAX5LFztcA2weC6rd9Nt+u2LmrGrxek1q1V6DcB5GiwPizWU65gqdz/HS+GH7/RVRpFDIEAJhnMdKw+XK7K/Hz1QapkuishTfvz/Z0QX1WtVSB7aYosd5XWE5S2lyRd++fPoxrxlpSwbYU+u+cD8SxGMY8/kBE9Z1qgx0F1P9yvcHL2y2ut3tsyvp+41w4rzRSOJ3m+PF8gX99eoo/PT3Bn5+cDuTdQ+F4vBeMIY2pavI0peIwTxYTLPIkVCSuQtVcUnnfJx+yDsUWVvsK353McRPmTbn3EJzhUyO3SHFhoJ3G3uyxald401xi3a1RhMWm6Ykn7wfSSXCOiZzgPD4nOxhoYxYMaFyLnS6w7ta4am7wun6D2+4W2mkqUAQfFpAcMzUbCICe2EpEQvk5eo/bboXSlGgCIXGXeMoxEflBWcJoIb/pttjqLYyngj2xiOHhUNkatanDBlyDxraobH0gnphALnNM5ASyJ7cZsNd7bPQWm24L7U2IKqD824hHiIOaqLI1tnqH265vw02wJpGajT4aDLnMBkWL9x6KSUzkBILRIt7CYm9KvGku8R/Ff2GqJqjtE1hvg7VrhVW3DsofCw+HwuxRqBK1raGYxFRN4Pw0vAWyztW2wVbvcNPe4k1ziZf1KxR6P5CPiUgG4q1zHSpb0zl+0Fr1cDDehDYscNPe4rK5xMv6Nay3A7FRmRJ7U6Iy1WApi0SExtHaIeYxMpENbdu5DqWpsNFb3LQ3eNNcYW/2NFcbiCf6bxHtqTq7o/cc8Sh8Pql9jLeobY1Nt8V1S+TsThcoTRmIJyJTa1Oj4AXEkYKndS3O4zMYf9cKbb0NlfFIbXTT3uBNfYnKVsGu1xNPdI496aadpoJiIoFgHJtuixfVS1y2V5iqKZ6lT4Oyj8jJ0pS4bK7w1/1f4QFwcGQyC6o9hSwQz1ftDf5W/h2Nbeg4iUFnW1Smwk4XuO1WuGqucNXeHIinYAcFGGIRDde59w6CCeQig+SKqgC6Bju9w2VzhRf1C5xGJ1hEpKoiou7X232VrXDT3uKX6gWSUJE7EykykWGh7qd4/Rr4JsQTGIh0cgATHIx5cM6QzzKcfbeEUALZlGx22TQ5+B69x+JsCmcd0mmC+dkUcfr+3TLGAKkE4kQhSSPEiYKMBJwLXuA7N34PHsiwT90Z9PBoncbeNGicxsLSrsLvGVkc4Wye4w/nC5xNc6SfMbnv7QhTT5aIvmpa1XZD9sKnDNGcHfIhfjpf4nSa3dtedwyGUD0MfLBvLDLa8ag7Ddu9/wL1IVC7V930agPBKQ/loSbQfRCnNg7rfY3nN1v81+tbXG7298qmAIj46avN/Hi6wB8vTvCvz07x3ckM8ywhG8JXQj/pBoCTQLBoY/Hz9RrPr7fYN929btjkX6YS2tuqxqtVgUka48l8MqgePgXUzg7Gm2GXq7R7NLaGcZp28vDh3DciZMxQHbE1Fvd1YMZKDNUhT6YZ5llCCg4lIT7DCvAlwRhlnigpkDiPSRIPduVEqXsXS2i1QVV3qJoOSayQJRGy5MuSB9Y5NNpg31ClpPtaVDmjhVhvA1mGEu9ZrBCph63q9hBgwaYSSYQgXY9YhuywWN17fIq4RC4TtFajdRqt1TDeDrvv9JUI2oe2jDP0Ie5UAe3pYgoGhrrTg8pplsZIY3Unu+lbgayYvWojwvenc7TaIlaUG7cu63tX5QJoTKKKXy02ZY261Xeq+xIEgBjgEwoTdwXgnwPQVOUOb4eKf34f9fc8bVzIF2uDqtPcO9skiyNczCf445MlniymXz3kmQh+D4Dsw2fzDN+dzqhwQtVgbz+cU+V9sBruG7xc7ZBECn45JfXPEfHcb6oqKdC0Bp02KMoWnbZoOrpHZEmEPCXS+iFwnF9X1C3erAr81+sbvLzdYVe19+I8OWODjfV0luEP5wv8+ekp/nixxNk0R6S+Xr1zBjbYvmdZjO9P56hasto+v9mEKpP3UG+FyBuHfvNuj79frfFkMQFn7JOVdp3T2HakoFl1a2z0Fq1riYRQU1LiHJmtDjk5wPfpd1ioOQSTYIzBg9RO626Dl/UrXLc3sN5iqiaYyCwQBeJgYzvKQ3pTX5I1zftgtesGpQvl05ANayIznEQLsjQFEuK6vcZMzTBVU2QiJSubzKCdQcwT1LbBqlsHZQ+RCg40P1Jc4ok8R5R9H8i3Elu9QcxjzNQUUzVDwsnCNpVTTNUE1lvctLdk8ZIZGCa0eBcpFmoOzgSmcoLK1ndaricBbFChXDc3sM4iEQlOoxOAH+YLvcqmcy20i2HChshMTjGVOX7MfggKMiINW9eisS2ummtM5RQn8RIzOYVg5EbRQa3zon5J6jNvcKLI+tVbrSSjuBTJBVbdGpUtye5oGxj/5Rf4rWux6tZ4Vb9BaUtIpvA0eQLFFdkqRYyd3oVHMSiCPICFmuEsPsVFfEbqGRZRbiKPkMscp95AMYW5mqN13dAvPmQjUaYV9c+L+tWgaLvw5+Dg5BDgwDJawnmHTKS4aslqR4V7FBSnwj395yTlB8XZRE7wLH2C5EiFBgC1bXDdXuNNc4nK1uDgeJY+xbGE4ZBL5YMt1OB18waSy+E1rLdQnCyZHBzaaZS2ggnWxMrWAGPIZD5srBHpWiFz2aAYdN7COrruBDgUV0hEOlTqI1V4jovk4o4F8/DZps/pWm+gnUHEIyzVErGIkYgEMzhUpkLEFd1/nUYTCGXOBBSXUIyug74NWtuh0AVW3QoX8TlSleIsOcNMTRDxr79B9z58G+IJYbeDB+6fA/Aek3kKqQSmiwwykohShfjo5uy9h7UzCCUwLVvMTqeIPrBgYZxBhoyHLokQxRIqknDWD9WFDsfGUEHlU+doztOHfG8a1LZFE3f/AMSTwvksx08XS5zNPh5G+y6IUHZchrDYvspQUbdAb1P7hN0BFpQ7T5fTIVPmcyrFUAYVBxOecjriCPM8gQ65DM0HiCcKkfYwvaQ+SOkhOLj8dNLy/a9DO9/a2gPx9OoGRdPen3gSlLF0Nsvx49kcf7qgIPGToBL4muH2nDMoCAhOyh59sUSsyKpQNh1e3m4/mLXRg2JQqCLRpmzwar1DnihEUmAx+XSFYR9MacPEpbE1SrNH5zpo14VdiveHLALh+td2KLXemfuHTUaSsrdOZ1S5bpYlyJNoqFb32EBjpAAUYOOIJvfeB9vJ/c637Qy2+xqrbYX5JKFFwJcmniyVgi9qsqGZewY/M0aW4cUkxflsguWE+iiLo6BaeFx9xBkL1fRI6RiFCpZS8KA2/fj50iRUYiISaGVgO4fC1Whsh0REkJIm3B8K//yt6D9njDM8XVI2lbEu5ATJo6qBj6P9e3v5NI3xw+l82KjZlDX+frWGNuyjKt8e3nu0nUFRky20emeWIA9WuhzAHvAFBY4PhNPx839bGzlPOUVdCOTuq/lp+/F8tB5ZrHA+n+BPT04pmPprE0+cQYb7T6+8+i5UTGy1uVdAug4h969WO2SRGuZIOFKH8mDv6/c/Wk1V1qpGo6w7RHuB00UOwfnDEU+ewnCt9djXLV6vC/znq1vcFFSx8z4bOowx5HFEletOKYPrz09O8NP5EkkkEcuvt1RgjGzfnDHMsgTfn84DmS7QGYurTYl9095rruC9B/Nku7valvj5ej1YeT8VOlh8XtavsdEb1LZGa1tM1QRP4gtcJBeIeBQymRiMt8NidqZmWKgZJBdh88xDO4N1t8bz6gVe129wGp/gLD7FQi2QyRS5yCCYHPKGNt0Wr5rXeN28QWH2SHiMRbSAC0RTH4RtQf9eyDmeJhd4mjzBX/Z/w37/V1y3N4h4jLP4FCfRCTKRoVWzIb+otjUa20AySecKBBLKIBEJLpJzPE2eYKcL/KX8K17WL5GLDPNojoWawUmPqZqitZSrZALxlIkMS7UAACimAgnFMJFT2Pj8oOwCJ2dByLjZdFu8rF/hTXOFxjU4jU9+Rew4kAWrDXO2vlLaIlpgoeaYRzNoR6RT4xr8XD7Hz+UvWOsNTuIl9uYCjWsRcYrz6JzGqlvhl+o5Cr3HXM1wEi2HDKypoo2QnswxzuAK16gMtZ125oPzxYdAY1vcdis8r16AM46pmuIkXgyWyqmcYN1thhyird5hZ3ZobEc2uegUF8k5FIsGQiIOJKRkAnM1HzKTqMCIgPMWre3Qug437Q1e1q/wsn4NwSSp+RCyrxiD8BwnaolMpDiLT5GVRPIwALFIhoyo3kY5ldPhvSkukcsciUjuzC8a1+C6vcFfy79DMIHT6ATPkqdIRYKYx4h5NFghnXf4pX6B59ULXDaXg0It4lEgnsheyRknxZqpiKjytPnMQDbPntCtTIXSVJipbgiy70k4UjeSpa0nivu/P/dnsLAQEODBOdFZ+mzvzR4v69d4Wb/CBlssowW6rANnAknIo9rLknLZAsfQ2BalqaCYAkMCKQ4xIC7YL4ugxlxGNI6cx2dky+WPp6LnN7Pa0VfgeFIUJYCQAmkWgUsOIQS4PPjIiXiiALcoUcgmMeQHdmJ6ZQukoCwoxuAdAO9DzhRNbDkn9VOURJAfyIx6H0iC69A6jcp22JsGhamhuMCQU3809xPgoVz749sx75FGCieTDN8FC83nKIvIjiAACLIOJREmaYSsUoMC4VNUqf2O8sV8gu9PDkHnn9qEB9KRFmZZHGGWJag7c6dk9/vgPYKcnhRPrTZgkBCCP1iUq7EOraYsnfW+wuWmwKtVAePcvaqkMZCaZhlykH46X+KH0wWency++qQfOK48BMzSBABNdIu6xavVFmmk0Bqq6PQxW4AHLQJ2VYM362Koqvb9yefZHvsdReMp5LMOsuk+XNx6E4I1Owjw4QYy/L336KxFHUq+f0qmi5KcKnNNMsyzGHkSfRPrEHCwwPVVkZynLeNDufm3Fs8eYIE7diFQVzM7VHbqw305Z8M1Y51H1XTY7hvcbEs476GURJqo4TV6611v/XgIWOdCRhUFbt/XIsQZ5aPN0hiLSTKonR7aovpQYIxB9OGVQiD5yPPfB8F42JWkfnHeQTva9T4mVRkezl48HLP/HOAQeL/E47WtH89n0khR2HwaY1s2+NvlClmsqIDCfYsoeKA1RJLuygb1O7IEGeMASwA+hXc2WOwqAC5Y7GKAxaAp3udviPSZU50hxU7daZRth6rTdyq4fQxk38rw4xll8qWfoL57CBzff/KQEfl0MUXdaaz39b2Ooa3Drm5xuS4wDdb1X92LGYYxzHmHptMoyoY2XkL2WBorzPLkzj3it1xDztHGR6sNNlWD690er1ZbFHVLQdwf+XsGynWaZv2mHs0Vvjud42Lx8XiFh0Y/hgkOZCClaawknPO43OwxSSMUTTsEuN+HgCqbDte7PZKIFG9PFhMqMsQOr/kxaKex0wUumysUphgynCZygvPkHH/IfkIqkqEqFylsKOBbcYWIK3BwGNgh/HunC1y3N7hurzFXs6D2eIqZnGKmppBMkY3ItZBM4qq9xt6U0M5gZ3ZkXQIG4un4XWeCFp1/zP+AVbcGYwyF2cPCIuYxFmqOTmTQrhssfztdQLsOqUyRsrtjbsQVltESP6Tf41bc4kX9ArWtiaRiAlM5BWd8CFguDB2v0HsKqvYGDOQMUEzBCYcYYZ0WMn/6XNwm2Pt6Nde6W5MyxVR3coyAA/FqHGVi9cHVczXDk0C89blDVbB/eXgUwfpV2Rqta0lpCz70y1VzjdrWmKsZltECT5InWEaUDeW8Q2nIyrjptpBc0mt4e1RR7MtBO41C73Hd3mCiciyiBZaK8owW0RxLtbgTQi+YCCQJkIkMMzXFXB0iSqyzlAfEIjBx0O1xxof+Nd6icdQvO70bCKipnFKAdgjO7quv/f/Z+8/2OJI0SxQ8plyHgqBIVdU90/fZD7v7/3/J7r17Z3qmKwWTJIDQLkzuh9fMI0AZAEESzORbhQQIRHi4u5m7mx07YqIUJmiiRK4fz3clS5RxH54XT/G8fI5FNn/ncR4z/frIxvuj+wOVqNDIGhlTqEQV/bZKuEApei44yF6OzLBzc4at3aGRDQI8sujrxBmDjoynIfa33vUjmGe9BWOMlBB2T8BiNPA/TpoTTEAyicABFSxykcczSHNNYsgRSJTOYTq+tdnAektS3WhtkDGFTChUskQhCuSRTak9MZoUl0TsEAVClDa6OH/po6k+AJSiwFzNkPEMij+eMevj2RNQAl3fagythkryOHl7kuydhzUOZrCwxZsRl7crAVXWOAydRrvtsV3uYYxDWeeolERRZSjKHGWVoZmVKKr8zoOAGCoJwThC8LgZtvDB40+RE4r/hgFlLXPMVYN5VoO/x53+axWPoEymBOpCYVaX5LfxiT4mknOUmcKsKrBuewzWgXcapwoQGKIPQKYwq4khUhcZ5IfSmU7crzyTaIocm6z/cNrTUYVAfieDoaQswTmUDw8WItRpjdWuw1WMtE+r3iku80OVfJ3qIsOzxQT/8QNR5s8m5aOIuZeCo8oodv6sqXA5bfBsMcG67UmuNnx89dn5gG2n8Wq1Q5kp/Hg2jRM0Rw+CEwGLMaI0sjcCDlRiHym7vRuwNRsw8DEdI2OHFdMQAHcku6TUndP6dVrJLTNicnxNBoeJCVzaHJh8znnkmSTmooyrtZ4YGTebPW7WZD55Pqth5yTJsM7DWg8lOcqCjOut82h7jW4wuFm32Ox7tJ2Oci3AGAelDslPeSZRZBLZAz0skzw2mf6eAt4CACKDIVMSRabI3PuRLhY8ZLngYYKD9nYczNMKeIB2Bp0byOPpM6/sfmvFGIMSHIBEU2ZYNCWeTBsIxrHrh5OYNQB5qbWDxrYf0Bv7DjBeAKwEEEh2wmryeALJyQBBSXe8xqcwnnwgpmDba2xSkquL97dTGIPAmAjZRJ+/SfnlfNHeVbkkCdf5tMLVdn+y4bfzHm3071rtogTyjXZJQJ21DoMmSfFm3yOPRuQiBi885C1EW0obXO1bvF7vsG2HyN7+ODDII8CfS4mLSY1/Plng//jhAk/nzb3sFR66kq9nALBoSlxMa0q7tA67XmPX65Pu5Z02uN60YGB4Om+w7zSMc5EZeppFQvL+SZPuRTbDPJtHRkFDJs3sEImeJu3gjAKFopm5DZYkM5ZSw4BAUqDIypjKCQpRjAvTtI0wprBN5ASCcUoOMwSADY4YSyKGGHlRIuc5JFMx2YomxoorFDyP26og3ADOKDSCWJt+lAABARxxAULkyEWBjKm4XyICRQo5z1HEfWNg6BlNqkX0fnKRgZQABBschugn1DlKT9PegINHFj6xwYjltcK1XqL3A8oQDaBB/fpdrKJcHACneTYb5Vo0JpRQQZHXlMiRixyccfjgoJ1GShpMTCbtDQKAXOSYqRlmakosmRhnn8AFSogrUfLD+Xko5cP7K4kg/Zj2nhbuDrBR8s48DgEIR/+9vTUTgYu9a8c0NhfcmI7m4Ufm2MvhNVZmDe0NPAhs+xwsr+SrZqO/U+/6yCzTEFxi8CYynkgC6aPHlA8ef/Z/Ym3WUdZKQO9w5G8VZIhSOz2CSr0foJ1GxhXOs0WU65HEbWd3BFTaFtYbCMZRRmBI8dTXHYw3sV93I4Mw9e2UZJl84q70FVrbjddzOouptRRXmMgJLovLUf56rW9onMEUGtlQEIxNn9eDxRQ7MmencyNioNljqUeFeljj0O8H7FYtykkBITjy6gh4iivr1liYwcJZh/ABdkTAAagaeoN212OzauG9JwnepEBRZpid1Zid1cgLBZXfnUEDRONXxuERcKO3uNZbCDAooZBFdDLVWTYBKoaJepeF79crllbr4kCkLjLM62I0ef2UEpyjzMgYvCly7Lrh5POcBq88glfzusD5pKJJ6gPsVxGT8opMnXycASGykmglOJMCITzc5dRpg+tti9+v17jettgPNMD6mByNMQLohOCoC1rB/I/nF/jpYoYmSm6+dklBJqKZEjiblLiY1WOCVUp0+lg577HraNUzlwLLp2cjM0AKgIfTYtSJC8DHQRJ5JNjRCBDAaPLng0dQc0gmkfEj4AkUgW6OwJpTH8FkckoePEqKr+pZY6KUZt9pdL1BN2gY49BUOZoqRxGZG857tJ3Gy+stXrymNBprPYTgKHOJQVO6WpkR26LIJLR12LUDltsOq22HzY5AxsSm2LUaVaEIqCoUJlURAZ+HObYEPA3WkjntiRIhYgPwMc1TicfLUn3IcsFDe4vBmyiD4JBMEJ07ePRWk7noNy4pf+jinEHFxaamyAl4mjWRyUn3to+BASEQCNwOBrteY9AW/q3JtSDGE1NAqAE4YJSgJFNtFdlP97+n+OQ31Q/YdAf21UkyVRzYa7kUmJQZziYlCqU+e7rbhypTxHo5n9Rois3JIJhzZPq+5B2W+w7tO4EnMhc3zhPw1Gts9z1CiJ5k4gBcf3rOIJW2Fuu2w4vlFq/WZKCtLfnjfKydkidVHo3X/+3pGf7jhwtMyjzev79uJZ9QKTjmTYmLaYWn8wadJlCg0wankFe7weAmtBiMxT+fLLDrdUwEFmD8tJZw0TB5bTYAgJw/wZP8Ehf5BSayhmRyBJcAkOSOS4hwG5CyPgJPbg8d6DgUk9ErqsFETSCPPJ4kFxCBoxQFGlljqiYjOLS1uxj0QIynY8lPLrKYkhWBJ07AUy5yipmXNVjcX8MJ+CH2UDJIj3YlTKLgBQqeQ3E1evzJ6DOTiQylKFDJaD5vQWbJOEzGE0CS/p1S966Ha1zra2zM9pasijx0AlrX4kbfoHc9nHRw8CML5l2DrJwTSPS0fIo6TrzHtojnJufZKM3ioAk/eRnR/4YIOhlvAIYoaZyRR1c8n/RZGRSTcZKfAAgV2+3zFi2JhhHQS8f4tvg9hbawW+97e3shMpqG0Rj7ergeZWfjeyM4sjabaCCvY188MJMeUn6fjMq11+g9MXla10VWnR7ZZoJxcAiEoyPsXIfWdiN4pb3G4AaQsXceF5wFySWDQx+Bm4AQpXkTaK/H1MWd3UeWWwcTLAQEtTvPCRwGCMT0Gq3rcT3c4FpfY6lXqSXoNbHdBq/jOW4pVe+4b8dXZ0xhqijNsrUtfHC4Hq4hItMyIESPKmLe9Z7YWo2KfZIT4y2ldz+W+upPlmNmgDUO3X7AZrknpLmMHiIJpQ0BVlv0+wH7TYesULDNByjLkQo+Jo1YD6Pt+O+AACEFiirDZFaRbO8e1wxnDHk0Y61tj85pdE5jCB5Z8HDC3QKeBl9Q+sXdP+qzVvIHkYJHxoEiSjw+XU4heFr1zKInz2l+IwDAOb81QU+SPc4+3QdHcBoUV3k2xmOfUmll01gLbS2sUzhxLvvBbaZqB4OrbYvfIvDUDuYk3yAefbXKTGFRl7ic1nh2NsXFtI6pZV9/0kz7AQAC07LAxaTC88UExrkTGQFpJd6QB9Y+I4PYjoyjC6XA1W2W4Sl1TBMO8fpMD9vRDBAeb454kvmu8+EADp7cFw6Jbvewl3vQ8i7AGId+MNh3A3btMPqdSUmr9d7HiZX16AaDbTvAeY/FtIJ1DsZytL3GrtOwEUgiYMqh7Q3Wuw7b6FtjDK04J8CuGwAbZSOCcxT5Az6e3mijuzB10rDtTV/Av3KR3IVHL4QMDOS9oKPRuDvyPXsoydBfoVKSmuCUDDuLHnutJhApeUB8qEL0sOuNRTcYaOfeTlplHAAtyn3OUx5CGEGwfa8xGHsyW5BFtqDgh2dSXWRQ4sMpoZ+7MilQFznmNXm1nQqCJekcAshc3Ri6lxzJu4H4HI/MUBfZn84dsWCPvBfuCz4dd4fEePrjZoNX6x12/RCfQx/fTmLbzuoC55MaT+cNns0nZBvwCMYKnDFwKaAg0ERJ+tN5g12vj2SSHzca15HlOliL9b7DthuiYXkAU/KkpE9ihRh0rofiEpJLMkeWDXKeR+bU4ZyNE/BbUxICdkycCJOcP0SzYIWcFyjfMFUWoHlJAk0oyW5AQMDgBggmRnkXZ4xez8lLKYFXibWSmE9pW44T++KWkTkOBs0kjaPtZVwRcytuKxmgJyZVzjNil3A6NgJYIy8nJta54CN4t8bVcI21WWNn98TUGP8Xx10sRAmRi0ynjy+8Si5RyRIzNR2ZHsegn2AeIrad5DQHSR5WNggIL24lnAmIyEYrUcrb0sMDAJWPUibJ5Z3HnfcpYrblqGUFxSRssNjaHY1dQR5iG7sdmTxJXlbLGjnPozonsZ8ImGlti6Ve4UbfYG3W2LsWOgI1x2AStUs6R/4AOh21zUOdAfIYi15p/mB5YYMjWWPw9Ld3vJeDo5E1OOOYqgkKXkByiTxkCCJAM0NSu2DgPTGp2igdbWSDeTbD4AiIo+ue2Hmt3cN4A84o7a6IyiaSAw4xafAKa7PB9lbfRrzGDufQBhf5Yseg06EkVzER8xw34FiaFZZmhVzkuHTdCGBtY6pl7wYoJjFXMzSyRi5yyEcksUv1ePYoAEZbtNse6+stuGCop2W8OCJS6AO6dsD6eofl6w2kEqimJeqo1X5zMMMYAxccUgmoTCHPJfJSwVlKtXNpQODDp9ggRJ13iSf5DDlX0J5iqMPRSvHxKvlUVZjI8uQUqC9VaYBYHK3uP5SHBz8CjhLAc+pmk89HU2YossQ64A8yUeecIsozJUZDy1PL+wAbJ+HuDvKqU6odDK42e/x6tcbNtqUB7wmlBMesKnAWwZx5XSKPTJrHZoQMAEUmsWgq/HA+w27QuN60J7+XwL+DLGW177Ha9ZhWgZhwJw4mfTTjBGjgkvOCDD1BIQEZz6Ox5AyVqCHZbRpOnGuOsoW7ABTOe+g0wTTuJA+YL1EhGgpbF32zooSISTbeaydVjkmVw3mPSZWPjLp9N2DQFoIzWOsI9InJf11Px+m9B+cMVZHhfFbjfFajHQy6XmPVdyhyiUl9X4eid9RR+3B+eyD1wfOA5LdGseja+pON47/VYgAKnmGmamRcRno9GYtubIuNaSGZiDHaj++e8lhKSUqsPJuUWO07XJ3oC0aD7UBArnO3QYsvXCRTeFNGfNp7BWfIlEAuSaqb2IKfMNR6kJKR5VwXOYoYcHFK+UD3gh4WvSZJso3tk+TtLC7ehUAJq3mmUIxWBQzWkQl4as+HOA+DoQCS3683eLXaYdfpk+5RLMrxz+NY4XxSocqzkZX12EBkCkvJ8XQ+GRMfTwXHiB1CkvhOW2zaHtfbFtN7MWsPE8RjmOnUYnhjuvGAl3aCboh59b59OkyC3/WaN3cnbS9Jtz70ue86mABiedjgYLzGUq/wa/s7XvR/oozpdk/zp5CcQCySv/mY+LUGAvkxnXr8lKwmxn1++zWf6/7z5a6XnOc4yxb4ufoRvRvQ2hb/af83alFhIhs0MSmwde0IpkzVBJf8AufZ2cgES6Bg53pc6Wv8V/svbMwGpSjxJL9AxvP4rJdgAIEkweNl/wouOKzM6osdcyrGGCaywc/lT/i5+ukore3d558zNkola1kRa8m2UeKpRyZU61rsbYcisqFqUUWQViEAMN6O5t42WHAmUIsauSjAGIcNFmuzwR/dC/zv9r+IoShqXGTnUEyOzKxkfr53LTgY9nb/3mOVTKCRNQLIXHxpVtjZPXZ2R3YHwaKPQO7r4QoB4ZCKF8HXx1iPA3iKrCQzWLS7DuvrHbJCQffmlgFgCAH9fsD6eovrF0vU0xKLJ1ME7wHOjxeSqCKNGJBQuUQWfaO0tmT+6Dz8HRKo3lciAk+CcUxVPXasgIPZ2vFu5UKhlgU+PyHzbkXAkxgNjgkceph95IzMNctMIVdx2ycevxIcRabQFHn0WRFx8vjplQaKuRQ0ML4DOJPkOzam+zzk1IDMMPf49WqFdTSYPaWUpCS754spni0mmNfFmB73yMaRAMi4edGU+NFMcb3Z47c7pCf6EMDiijyZsHdY7TsoSTKXk7YRaa/JsFIyNT6UnbPw8MhFjomcYpGdRQr827fNBGgkY+xTi1ZhiVGg3+nl8gUrAmgMbBykW0uTXo7IhhzTxDgmVYGmzuFdGOV4aUNaW3DGRj8Y5z2McegGYk14TwEPVZnhfF7jxycz/Hm1xa4dsNp2mNY5pUU+2KERYCbGCeKJb0wSPWPRaQvzAM+Lx14MDIXIoLhAI4txRbN3GtmwHv8teVol/w4/vauUEGhyMrJ+Xe4PQRgndB/vPSxI/noqe+WzVPTJTP5v1p3u5cGTf12uUGRyXNj52oCGEBxFRvL6XMmTfQ9DvBc4HzBoE33wYhjGCGzTOAqSwj2KTKLID9JCG19PkpSHqcFYLHcky38ZGU+nSIkZA+qczLt/PJ/hPKYXS87pWfBA+/dQJQXHtCzwdD7Bpu3xx832ZNAwsZItAjptsG573GxbCE6+ofVn3vf379jDb3JkDjG8c4ydQKeRZf2Ohj4wV9jhtUdw1Ts/lzEKHMHbfSexxnWgyfNv3e/4tf0N/1b/E8+LZ/ihfBa9oog9QmmAjozczRa/dy9OPnYRpYV3Sl39hHZI885xIfwLXDiFIODJw+Nl/xIvuj/xov+TWE2iQi1q2GBhIjPpaXGJs2yBJ/kF5tkcBY/AU5Sy9W7A9XCN/9r/itbt8W/1P3GZX+IiOycgI1pLJJaO4gpLs/oy5Imjtkn9cSIn+KX6Cf+v2f9zNPR/34kntraC4oqMuxMTDgdPJgKdCIwiuxmOStZQXo1pcHb0wNqD7Dk4alkR2xEcNjgCnvo/8H9v/wedw/oCv1Q/j+dQcTmmXa7MGnu7x5/9S2j/bqWHjFJOxVUEqBh2ZoetqNG7HtZbdLbH2mzwerjCRNaYZTPM1Ow78PSh8o7kb9Y47NZ7bK53WL5aQ0iOosqRV6RXBqPXbm52aHc99EDv+eAkIErqkheUVAJlnYMLDiEFgic69Id8ok6t1OWPWThJ5kfRxodboE8SwE/+1IctwTlyKcfUpocEnogxIZAriTxOXk+9QUtBdHACxGig+FA+KzyCk0rejfGUTJZdTCpyPuBTZwc++CgFCtj3ZC5+vdmPE95TSsa46CfzBk/mDSZlPgJ1j7EyRb5fzgfMIkh2l0or8q02WLcd1m2PpszhTvSeuUWMjybjItLeffCQQaLkZTQVf3eyFkOM0BYEXoo7mMda69EOtO/bKB/QxsYV9C/MUhu7cBIZUvnoX6WtgxAcUggEBShFslwLPwJux4l41pFsb9cO2HcabW/QawtrkyfAbRnbCFBZ9+AMQsZo4pJJASlON1oMgRLGdj2ZBO97TWwH6w5g42NEdD9TcbCYPBSiyerX3qPHW8nLbhrTKu9iqJ2k3C76kfl4TR3GGV/mxAdg9K8juVI4+brkR898JQVEHE98deCJc2RH+3XXxSZEKaRxkfHkPRjjCG/cUjhnkFLEYAZ+dPyHif99K90rnQ/x+THgetti3Xbo9Glx7gwMVa5wPq3xfDHFvC5RZPLRjhWk4CND67qpUOfqTnJAUkCSWf62G7DcdajyDPP6tLEVA/kd5SIHA4P1DnvXorQlJJMoQ/HWeU8SJByBQGz0R8pGI2oXJUPaDxjcMI5DkvzNBx9lRgbaD5S2FSfRPLItbDgIjo7lZR86npP4Pwksfy/b6QAIhKPfHFda4LPejj5ZK72CqxwqUeIiO0chChTx3HauR+/6Ud536rVyzPj62DN+3MuRfciif5WI5z+awXsXU/b68e8ARqNzHcwoBXMnhP88RHEmkEeQSXE1yrwA8qQKwCgzBDJM5ASLbI7z/BylKCOLhyR5CXzZuxZrs0YfE9EmcoLz/ByFyFHwAh7uVrvczUT9YHJOIPDBuuJD9yoG3EqNI4kkyTpLUaKRNSaqIWCJqVv9JLHmPGjhlJh0YZRuuuBiQqRB63oMfoD2BmVw4GBjom8mMiimCHiK0rvEBKtEjUIU4IzDeRf9YLe40Uv8VP6IXBS3zqHiEl30kkpMtA9JM1MbSkZyz5xnEFwgwGPwA7Z2h7XdYG02WJs1XUO8wHl2hkY2UDw76o/H34/POXvj7wAiY/JzPau/OvBkBov9psNu3eLqjxWuXixx/ecKRpOB+G7THVDkENBue1jtUDY58oIozCyxOd44R94H6N6gazX6ToNxhmpSQCoxTrDSROlTbhYueOxsj2u9xca08eFgYX3ycaIpFo8Pg3lW41mxQCkyyIeKQXuAEvzASsoe2OiYR7+HXFJqlbjDaoSMK5R1niGXp+nxT60U+a6EGBNnTi0aEETw8iPa81PKOo9e23FgtO81eeE4dzITRgpi+1xOa1xMajRF/ii8Gt5XShDDjgFoihy5IlPwu1yO3gf02mLTDti0Pc4n1R3MozkEk1AcED4O9EKAZApSSnAmUMkKkr+fiZVAjSKTKLMkUT3tnFNseo8QAm62lPa26zUyJZBJiYx/2fsDyXzidSEEpHSwzmMf758AgYVgRxNS49ANBm2nwRi1h+AM3gds2wH8Zkcmu+0AY1xkTYDu573BzYZWmda7Htb6KHt9WBNvccS+yKOs9pTyIaDTFqtdh0JJLHctNm2PdtDIJLVRimn/q1RiN7VuGNPraNBl0bkBOlioOPj+fLKFb784Z8iURJUWTESSv3z83pQsBmigTAtoif39JYHOkSniPKzz5I154r358GzlD7pY9KmVWEmHRYK771fAwUTcOAKhEaKcK6bapfZSUkApAqCK7O5g17vKhUOi7rbrsesH7AcCxU+VQzIGVLnCWVPi6bzBrCqQya8+JXhviRgu4+uAaUXsd37HMWoASb533YDlvsO8KWFOcScHTQKT6bAJBoMf8Kp/DQQCAmpZ3WLZ+JgQ57wbk3OTDKwQBWpvkQky/nXBofM9tmaHjdlEEKY4Yv9QctXO0t8ZOM7B0KgGHAyt6+DcwzGEH7poMcqPahCiRrGYlkpgQpoTuODROvIbutbX2Lk9nLcPlhj9riJPQ1pwzAQlpEmu4LzF4PtxUl8dLUCm5LvWkpyt90P07fr8/r0JiOwcjR0LUeAsW2CuZrjML3CZX8ZX0p7Mojl6Aqp4CtNJ7YJoKH/k66W4hOIygh+AcRY7s8PSrHCjl+hcNwbwfKySz1jyQjIRxDHefnAbbEyGRGQNFSgjsLazO2ILBY2pnGKq5K1xt43pccZbOhamxqTJUhTR24yPqXUmArc8seUYhwABfJWs0Fqa26/0Opr8k3Sv4MTSc0hpkIjbSQCzGu12fPBoXYeVXuH1cIWt3Y6f+7Fzl/EMjWxwnp2jFAUGr/FqeB290jZkpB77wiJboIxm94d+kPxpHUJw8WeOQ/iIx0iSYQoED/1VgSdtsVu1uHm5wtUfS1z9scL1i1UEozrcvFoDiGA7Y8hyhbxQKJsCWaEg1fsf4t57DD35Rg0tmd3VTQGlBPRgoZNh8+gijHudZx88drbD636N18ManRvQOh0vKkKVDxRQHkGnHJf57L6n7bNUMvAuRuDp4TpdkrRlUo4DvpPeh+TxRMakuXrY/UqAmJQkH7rL4DjEScEYg/mJKx3GOXTaYNsP2Mbo7WQqfuq2heBoSqLPX0wr1EX2VZPSPlZKcjTIkEuB5ihm+y7gkw8BvTbYtD027YBOny5Z44xDQowDD4AGjFk0jMx5jkrUUOz9wFNa2S+jIb+Up/cjbR3t82Bws6MV630/IISMVty+YPrTaBAZPZ0Su8k6P8ZWZ0qgqXIy5YzA06DJo6rtNYTgcJ4S7qzzZFA+kD/Srh3II+nIx6rtNW7WDIO2o2w1U5Ed8ZDXOWfIpDzymGMnYQAh9i3nHKTgWO46bDoCnoAMUjyehYOHqgCg9xprs8fa7NE7jcGZOECiNlEipb8+DjDhMVbyTKzz/CBdP/G9iZ3hIyvbxe+cM4QvKoNKAIs7yP5OldpFgCdJcx8L8JRMz9N+3We3kr8gsZ48lPAIEDQmcIm1Gb3xFHlI5kogj8DTp45hvCfmzq4fsOniWCGav58qBWYgmdkiAk/TKr8TK+9LV5LFScExrQoUmRzZxXcZemlDISarXYd2pk9mk3PGo3fKBDu7x+AGvB5eg4OhlhVcOIMPfgSfEsPHeAPJJAQ/jDNynsNLPybQ2UD+MVu7w8ZsEYAoDeJR4qPRuR57u8fGbJHzHCwmWxFY40amymMsYtd4+ODG8JU0J7oNcDA477C3e1zra1zpG+ztHjZ8flAtAU85z0YGjWMkQ1vpNQpegGWUiBZCwOA1Wtdh71p0jhLXjDeRbf95oScfPHQETAICCk7A07PiKX6qfsTP5U+3APXkMZQ8tBJAE6JnU2IGAQcQTnJF/Ta+3niDrd3i9XCFpV6htd3JIS08gozJ/Nx6C83IJPxD2+BgACe/rkLko38RELCze7zsX8bjU5ioya33uuAw+AG9G1CEAkwwKKYguUTBClhvwRmHjsbhVCyeHx4Z3SzOAaoxSY+kdgwTNUUVkxPFkS9ZmqslUJXYYQSKeQR0rsONXuJquMLW7kaj8vdVYvHlPMNENbjIz2L7E/B9rSPw5NqxLyzUPLZhup8n4MkjBIMQbPy3ABtBSIcACzaynT7fs+CrA0+MMXDJIZREXmaopiUmi5p+nhTIy2y8gBgDqkmJalKgmVVoZhVUfpted1xJ6uZcTB7hfEyuY5xDSI68yCDUp6WsJIQ4ExKFyJBuOiaiuz6CE6Sl1ei9jmyo2y72D+NadP/ikfkzxoY/IGDBGCAi+JQGoaeecpnYCpkkQOyBdcUJfBJ3kAEkZsgx4+lTi2RXGuvIeumNOdlsOtH3MylQ5xlmdTEOzh4rdR4gfzQmASEYCkUSz1zJKDMJJw2inSfD0HU7YN326LV5R/z4uyvRjUO4nSqRqLgpOeNDMbGcM/IMKXNMypxS9U4858k42DiG65hieDapcN5UOJvUmIeSvJXiROlz1jErCIwG+kUmx76lEhMpXr9lrjBrShSZRV1ko/9TVWQxDYvaIADRA4EYIARs0WdmShLDKTIhy5zOXVOenjZ1SklBq+WzqoiyJ3nS3Tbg4LOz7Qa8Wu/wr1crZFLifFLhbFKhKbLYRo9X0nqXIhmPw+AMWkuspy4upBxHae9sj7XZwwcPxSn9R0Ti+KdKif4KRYA0+SbSYsvp8vJUIwAVAnywYN4BsAjMAcHjdqLXMZIaAJYBrABAk9T7Vrj1nLu7ovx0K/8vWOydP96pqG0OP7+9wch3D0eM6PucwHeU85R6uGkHSnNN6YeneDvhsBBYZgrTqsCiLlHnGYVyPNJK11N6LhXqYFqfZIcfrUCLPbueGE/7wcCeyHhSXGEiKdo80xmGKIvbxMm4YCJGl5OtNY0fiK1UixqNbNDIGgyMQkyQo5ENzrIFBq8hGCcWx/AqAlAbyJgkqr3GUi+hvUEhCpIYxe35yBBKHkuPsdJUXjCBXFAaWy0r+OCx0mu86P4cJ8rGG9zoJXZ2D+01fPBHIU2fJzOORUWKiMySiWxwkZ9jZ7cICFiaFQIC9q7Fzu7AwKhdgsbe7uGi75HkMoIIn/eOl+SXxOqxo5/T4Ae0rsM27iNwuN6T/LCI4E0KyUksoIJTv+pcD+0NboZrMGCUF3auxdKs0LoWxhsAIXqeHp767yvFFWpZYSon6P2A3vXY2j1u9A1ynkXQlPZYcRWtLYqYEkj3JAJUZnhWPB2ByJXZkIQOHtrrI0AtMdLIgHumpgBmxHoCh2Lk3cRAEjnrbWw/hTx6MSW5as4z1LJC5zr0rsfO7FCKEgxAJYkBl4DTxI6aSgLBtmaLP7oX43kKCLjRS2ztDoMf4IMbz/+7PMlugYecJJPULyktb2O22NodXLDII0syjwBdGoeRsqtHCB19hwOCQ4CPf+dp1kNfTIGDAHSEQ7s+5HjuqwNPKpdo5hXJnASDyiXqaYmiytHMCVwCDvLirFDIcoWsyNDMSuTFhyUwnDNIJSANR/ABjoEkJLUE4zmaSYm8VLS6fs/zSqbiFYCAqaxgAqUAuThhDSGgdRpLvcNS795KuXssxUdWkoC6Y8LbKUWmbXc3YOZRAphJGSe+D8nEOuzXXS+sEMgfzB8PLD+hjHPYDwarfYe21+PE/WNFDwcakOWR1dGU5CuSS/ko+1qqBGpwMGSSo1QKdZ5hMBYDHPwJq5G0+psYTz16bd+OH3/fe9OqZNAw3owrcjoMGHwPjj0EE+/1dwIOEoB5XWJel6hydbIclADMABaA602L//uPawzG4ZfLOX65XMAFjzrPCNj5zJMCJQWqkj6nsopSrJyPD+DosZFYaQyYT0sEANY5Mhcvc3DOkGcSTZWTLCceJCXk0dcxs1TwCEZHGVIaJDUVyZMe7NgExXGbSYVpWUSj59NkT4ik2ME4vFhuoeRLbPsBv1wu8MvlHJfTGnWRoc4Z+BeWRn6uoiFIkkYcyyQCDAO8JSDWeotdTGltVIk8ej/IR3zP+VKVmDVK3D0xdaxwiKr23oKzHQK2YOiAoOkr0uNvezV4gM8AfgnwCxzo9PfYhff8fNp7w8j6fiwVgFu+WffBgRjSghUb0zIBjFLI5OeUWKGMAdrEpE93IkjygXL+wPLddgMGY08+Ds7ZuMhQZPS8bcoc2R0S/r5W0VgNkJyki1WuUGYSg3Hw4ePnIABRaqdpnDVomBMlaoorLLI5AgJKUWGpl1iGJVrX4ffuD1wN1yNzgTF2ABoBPCue4nn5DKUoqb+AJpuLbI5fqp9RihI+OOzsDlu7G0NMiCXhozk3zSeeFU8xVzNc5OeoZQXtNPkg3f+0fvbijENxFaWKDc6zM3Sug/YGv7a/4VpfjwBH8rWiVPDIQhLEQJfsdBuDuxfdQzOucJad4ZfqZyz1EjZYXA83WOk1TeojMJH2l0AeYCYnqGWNjKsv2hbaa2zNFlf6Gr3rsDHbyAQ6AJEpMTAXGS7zC1xkl5hnpLhJ0rOZmuIiOx9Nr//n7n/ht+6Po3bBoV34cbuoyOZ79/4xMJS8xFzN4bzH6+EKO7vDzuzhgsVKr+J1QSyjRjV4XjzD8/IpJD+MAQtR4LK4hA0OW7tD73p0rsPLwWBp1vgX/xUAiySAw41AMIHn5TNkLEOjKEaA4+Dh5aPTlGQSlShRi5K80xLjSeRoZI2d3WFtAlrXQTtNBuSiQi1LCCYpgU4RkPy0eIIQAl70f2JjtnQOI3MrnUMeWWXUr4mR9qE5aMYVpmpCcxQEbMwWr4bX5EXLJS6yc8zUZPRJO2wpwIcdvLuG86ujLdKyOy1epUE5A2cVmAhAyAAmcFuO9zD19YGnTGIyq1A1BfIqQz0tMb+cjqymyby+BQhxzsBiNLwQHPwDq+KMsWgkTmbiNk7kheTIS4W8zFDW5BX1KbIOAp5K1DIfzeUSdyIlAK30Hr+2r6Gj3lR8JuT+U2qUw0UPFPGAk4e0An4cO3xqHUxKxYManh/2DOM+3eWhltqXBrH45NUmYz3aSAHf32FAhHhepaAI5zLPMCly1HkOzr+sJ8h9ihP6RGy76OUFEFhxSpYfSe0sNh0BT50xJ3s80aqRIb15MOPgLpl8OniUooRR75fFck7snwBgXhdjMtCpEgBS+wZcb/fQ1uLVeof9QKs3RSYRAiLj706Zz3euZABc5ipKfCJTNF4bCTROk5PFtMKkyhECSTzFeMxhTHlMTMBw9J+3Fc0s/R8pSEJwDvGA3kmjlxhjxASMwNMpbZSOY7AWL5Zb7Hoy8h0Mye/SPalQCp+3hb5cHTN1k5Q4ffc+QHtaad3bDlPbw+YzGlxJkkiGO95L/4rF2WExJwEUd63EqiHWjEXAFnCvAayA0AK+BQ0cOcA4vSPElUvxDEAG8PNPPpbkSHCffR8XZr6A6e4plRhkLi0a3WcjacEqjkUPvZ1+J0SIRrrk98RA9zTOOUxMwf2Uct6jGww27TACTydL7BIgGlnkTUFM3TQ+e8yVFqqkIBlrlWUolILzAdoynNKaQ2Q8rfYK+0GfzHjKmMJczVGKEoUoECJQtDZrXA3XaG0Lh4PMijxtCKCwwaGSFS7zCzAQoCSZxJmaQ1QcE9ngRU/JZDf6ZmSx+BBGoKqRDS6LCzwrnuAiv8B5fk4TYhB48JhlzwlAKkSOqZrgPD9D51rs7B6/tr+h98OYRpeLAnNFnkRJipfxDJnIILjEexGOT6wE3Sue4TxbEKtbFPi9+wMv9Svs3H48w8Q6azCRDUwwYGCYqikaWSP7kkliIQJPdour4Qo3eok/+atxH9I9NxfRNkJW+Pd6gGIZGllDcvJyqkSJmSI2TTLdftW/gg02mq2Th9lczTDPZkeyxBxqNBp/dzEw8h1Sc3AQq896h5VZYWXWAIgRJyI4dpGfg4PjLJujloe8yVIUeJJfohIVXg2v8aJ7QZI/3WJwxG5KlicBAXnsM5UooThduykUhWR/tM80Z/eQXKASJSpZjab9fASeGhRijYCA1rXQXoOD0+tFNcoIicE4x9PiEju7x4vuBVrXgUfwLuNq7NuSSyhGfVtFGeSHxkyKK0zlBBlX0RRd41X/GmX0dDrLFpjKKQqev7GVgOB3sP4lnHsJMkuL8jrQ4lWAB2MSgITgMzCWg7MJGEt9+S8GPHHBwQWHBEZvEZUrFFFqVzbFCDSEEGCNg9UWVjsgI8nce03nGMAFJYswxmC0xX5DOmg9ZDCDBQKglARC+CQ6+rjSESdOCXhKF4FgRGez3sFGNlS6SMbO9pWfG0lylsUV2of0WAEO7KI7AUcsGYHyyHh6WCZWYliMA8dTNx1H1WnVFG+g7PcpYjxprGJ61uneAwfQpooeNiml77HXcV9Ig+Eik9DOgZvTDaCNiwbX2nw08v59g9NElQ8imYSSv4Lk6oMabM5I4ogAkttVBWZ1gV0/QBuHwbqTJl1p8tAbSyvQQsB6j4tJhfNpjUVToogGtXlk/ynBb0liP+XS4JyYZyEEQAAhcPJiiADNcVuFEIgZKQ8m0/T5t18DHK6K973m+MywN/7+UCU4G1lOTZlFeUmBdqBYdH3CteY8SWGtcwiBosgF59j3GhfRU21SkJ9PugaV4PT8ObqxPHIcGEDyryMQNhcKuVBw0pNU3GkEADlXKEWGUmTIuIxg6zHB/+9e7BYr5lPanZ4uDAGS5HMhB9ABMCB6fElfwQPoIxvK4rCa+eZVdnol8EyOEvnT3j+mVEYfpFOBkc9dySxdWzumBt61KMn0yDid07Q1LTmGyPLU0QMvAMjUbVbK8TPhrvc85zw6Q4stu05jsPZkYE9G77EqV6Of57fgVXd7rJBkrCTVHmz06jrhFFhHMsV9rzEYklGfUpxx5DyD5JLS2fIOJljkPMde7LETuyNj6choiBPOiWzIlwn81iIn+dXQ2MMEAxPI74X8ZAxC9IzicRuX+QWeFE+wUHM0krwnkxRokc0ja5uYDBPZjABELSo8LZ6gcz2eFJdoZD1OhL0oyKw6swBjGFyPUpSoZAnJFAJoMb2SFcqY4JWLHOfZAr9UP2OqppipKSSTCCygEDkCAmZ+Bo8AwSQW2QKVKCGYIAAtvwAQYhoXGSOnyXvBc8yzOeZqhuNEr4mcYKHmlF6WFrIDRyNrPCue4r9P/ht+rH7AVE3fez2RH1eNJ/klEAKe5JeYZbMol8pGdk8lieEeQoAJBjZYVLZCiPO2gueoZY1G1jSvUwQUTuUUZ9kCtaxRxOSzhyof7VpccNhbkvxt7BY+eDSywQ/lDzhO5kuMu4O/lsfgkhRvi43doBIVKkFstKma4lnxFJJJrM0GG7MhgCW2Sy3rCDzNUUff01rWeF48w1ROiCGEdz9dFFcoJTHkz/OzCMZwMt+PKoN0rUzlJPaz2+MmyWQM+pFjEp8N5AdGqYNDZAfSmJLAtpR+1yATh35DwK/AVE3wrHiKnOeYqgZTNcFCLQiUi55jlSgxy6Yx9U4DAJ7mTzDPZsgFsZXSNmtR4SI7h/V2PIdbuxuvYcUk5tkcCzUjIDUGDUgmcZ6dxXvEu4uDj2bhikt4BPSuRykK1IJA7ZmakszurTG2QwgaIXQ4ZjCFoAl8gkcIEoxJ+JAhjEzqz1NfHXg6LiEFiioDFxwqE5DviFYfOo39psPQadTTEvWkJN+mdxSLq0/p732rsbrawRgLlUmoXOL8iYGUHJNZee/QhAQo0SqFR9LfEsWcJrp7249fgjEYb2+ttj2GYfpouhkT7R6UKXNL0na3yRfnBwng50rHSfuUbpynDOFGYDG240NI7dohUcDNyYwnFoGPKs9Q5TSQfOwsp3dV8hgjA3pz8jGEOJEYYsKadadH2jKGkfae8xwCpPEvfAktKKGkkc0HzcUZY5CcA4rAiHlV4HJa04p018O2Htad4lUVAOcRgsXL1RbWeVxv29FL6GJa4zx+X9QlybuKDNlnkkcce+u99zWnbOcT//4QxeNEhTGGSZnjbFLiyXxCZuFtfxLwlAyFtXXY9gN+u16j0wZ/Ljc4j21zftRO06ogmSTnjzpZ8l0VIsMphIBGlmgUGWiuNBmOu+CxUA3mWY2JrFDJHIXIoT6jD8e3VgSi3mOx5b0lANYAXAJQhCkxTZ/EzyKzyQB+SV8sx6cO8Q4AS0yj5ae3rfcBJk7yzQPIyx6qfDQFp/26nUR0aqVFOpJRimgfAJLee3oeHQcvMM5GZiglJt1SHN+5bknt+rsxnsjbScYU2YdNCf5SlcIvyBbibgnMPgKCvbGw7sOLVLc+ExQJLwJQyhIX4QI5z/Ekv8TgaFLq40gwAGOEOwPHWWQkJM+atNQpuUSBIkrznqKSFZ7bNjJNXWRo0Ofm0XuoUQ2xrjhNMDOeYRYZFC74EWyoZDUCKPNsjn/W/8BMTXGenWGeEYADQRP6jGcoRIF5Nhv9blRMmkuL55SqRYBVJSr8WP4wvu88OyPAKRwW8DKeYaImuMwvKFEt+lsl4KcSJXo3oPfkKZRAARWBplIUANgoy8t5jov8HLnIaB4BAQaOeTbHf2v+DRNZY57NcZGfv5c5whjDQtG5uMjPR9ZSLStkMZ0snVNImhBILjFXMwxej+dCckmMmgjsJU9QSr6j857YQA9VLjgM8XytzTqm/t1AMkHAm/x3iOgVRP489L6AMLKLWtvGMKw9boYlfBZGQ/WpmoJMsycRyOlhg4v9j85JahcbLC7zC7Suoz6Vn30wqTz5HzHJ8LR4ipwXeFY8JUgsLtqTtI1YROf5GQqev9F2HBISjAMzNQVnxBTUXse5txlB/9RGKVVuoeaYysko5UzX3kVObODOdWNqXiVKNKoh6RsYMZqiL1QjGzwvnqKREzwtLgkEPWJ3076fIxP5eA4HP4BF2Z5gPJ7DEpIJnGVneB5B14v8HJWkPv+us8gYAwvpnsJGCbviKl5nl5iqKfI3zlt8N2hhJM1uySMywI4Jd4zFxYvReJwB+Dx+ZY8KeJJR6pGXGfCOwVoIBDxtl3vsNy0QgCxXKOp3nWga9AnBIY6Ap+XVFt1+gJAkCwg+oJmWn0R9DgiwwUF7Cx1TDVz0xUjMp10CnlwPxQW0t+NDKu7tvT//oYq8CWiQKT4HswiHgfhd90tKcUi7elil3Z2BsLFCkkHgZKDjQ2XsweNpP5zu8cQZeWBVuUJdKGQfSHp8zJUAxjyZWJ8MPNEq5mAsBmPvBjzhEPOaIktDCKMpqA8elaygPkCfZsBoml/l5PV0OWuw7zWs99h1+qR98SEgWAfLPF4ud7jetPjfUuAsAk9PZg3+cTmPfh6RQq0kHtAK6e1j+/a60TuLMwYmBWQAmiLHoqnwdN6Qn5e12HbDSdtx3sP7g9TlxXKDOs/IEH5S4fnZFP+8XMQ+SIEKZa4+ZxL0Zyl/9PyqZY6n+QKFyKCYjNeHw1k+wdN8MYJSaUD0F+kyn14j6HS/597b25NgbALwCYA8spq2ACTAnwDyJyAMILqiIeBpXHG/J8yRGMcyLvyI00E0H2LqJefEQvX30Ot9hjowkcxhv+5QDHFMEoEndSz/DwRsOedhzAF4UoqMZYWI7KjE4sf9Rn4UqGEo0W70eDrtOIgdrdAU2SHh8xurtNiTKQJEk9zxlA6WFg96TWzXuwCiHAxgJMkpeI6zbD5OAAP8O4iFdG4Tm4MkcYeSTEEKAn5qWeNJuIz3XeDNjSUgi0cz53S/zXgGqSQmqomy8YPULzG1F2qOiWxgq59H/ygRE30LXowAQDqSgwbgcE7JoJrCJWpZIec/4GnxZBw/pWPLQWMo8qMJ0YPm4N/UyBqlKHARzm99ZjpOFvedJVZGZOsw8NGrKO0fZ8BCLTCRDf5R/TxKwN4bBAOORbbAVE3goml58hY6NnfOYrJdKQrM1Rz+Vvra4fywJG8GjUPH9DbwW4DEQ5QLDr3vSd5pN7jRK1wP13hSXOJZ8RT/MflvUMmb6OhzAzz+1f6Gf7W/4mV4hRD8aJCuuMRE1qgFGWIns/pDyt1xu7BR9pmk+B7J+F1+UG4nYyhJklte5ufv6Oe0z/yonY+LALAIJimFiZzARy+l0dzm6BGT2NfHLLBkVE77pHCZX2CRzcf+ddx+qT/UskIpSszUFM+Lp2O/ke+Qx5WyRC5ynGWLeF+IcxGWziHGz0n+bQn4Jp+nD3u1JZP49Jk+eEr0kxM8yS9Qy/o9wFM6vwyAB5mLuyOQKc2ZPAIigHeYtX9gj+5XXwV48j7AO4rVDtFLJMSHtXce3kV/kUSDTshtCLh5ucbNyzX22w6cc1TTAhPU7/4gxsCiF1SWS5RNjsm8Ahf88PlHD+v7Up9DCOR34QZ0doANDsa78cIKCOgcaZjnqsY8q1FJYld8roa9TzFGEyXBWUx4+yyfMt4MTt8vFvfrbslzn7seegxtnEc3aKzb/k6ml4wBStIqZqLOf6q042tUWkWWQtzJEyWAJB3Msbiy7t8CA2/1maOVIBcctNfoXTem2/n4exc9Fmh1qzgaHN3uv8fMoCKTuJhW+OeTxWiovdn3BETg40a2iR6d4st7YwEQG04bkoZ02uBm22LRVFg0JSXpHaX8pC9iLd6dcXHKa7/kax6iRgkYA5oiw7N5g//+7BycMQzG4mbb3U6f+kAF0OTFeTcasBOA5WAi02HXa7ycbsc2qvLsIJNUkqLVpRyDFh4bQ/HgrSHhQ8A+Jt30XsPHxBMVk1yPzVQfy735cdVDMocFyMupiPK6GpFzDfgNAU8hAd2fvlo5LmpkGeqc0iBPXdRIzJ/BWPTpy1pkQdzyivvSZSwxi9ftQNLsEz1+GENMFyU5ODHA2Agu0osOC3hC0GuVTIt47JCAGx8En8R4MgSYJ0n3qfiJEBxFlNrlSozefN9SMSCOFXj0Iz09MXIEBsexQjhp7H9L6geayH6qq18cOXxQyv/xbXz8/ZJJyPdN9xjwfr+Sd5eAgBACOd4zyf1AW6Rz91ClmISCPOkQEqNKfWTqm8Z31MaPow7jVQPtNGyUABL4mKOWDbGKjpZ/0nskkwgAjDdwPHuL5ZckjZ+jxvHx0Tm973aOr5dP3VsCONVHr2Hqr8ApcMlD3RdSHY9GrbdoXYfOtdi7FgHEsKplHVMiaxQih3wr4IaDswpCnIHGCgl4MvC+QwgtAjw4K8BYAcEX0d9J4S/FeArewxryabLGwloHZxyMttCDhRkMTPRxMtoe3hcClq82WL5eo98PqJocZ8/m7/0chpjgIQTyMsNsUcNZj/2mQ9dq9K1GdocEqvceDwIGb7G3PbamjcwnS7TXWD54FCLDs3KBuSJ5guSPa4U4IdriyDDzMRQxpQ6m5I9jrx6+rPNoNUUkd/r0mF/G2LiKWWTyTmyhx1THvhl3GQwnA1vrPKyPbMMTYUHjLbqoeXfBjppzFyhiFUD0HXh/qt1x5VLiclrDeUo83HUD/lxu0RtLYMVdZR0hYDAWaAFrSbZyvd3jv8ocs6rAtCowr0ssmhJnEwI55jX9rogyiu8JY7erLjL8cDaF4BzWeax2HX6Xa1gXxonIXcp5j1YbuMjw2PcDXq62mFYFpmWBWVVg0RzaKLXPvC5Hphx/RKwDBkBxgVJk0N5g8AavhzV8CDHa2yLnkhg9eCzLJn+34sRo4g0QOmI+uV1cwRwAWNxeSb5fKzHGkCsy5m/KjADtOzCekpSp1xa9NugGg5AFZFLiaym8tHXY91HS3p8uaeeMIVPyANrIg8Tu+DVCcKhAqWtFXAxKXnjGunFh5FOuGxc8Bk3A034wJ/sIAuSPlCmBMsryvzUZMEAgYGKd3RU489F7zDp3y2D+2zsL3+vvVOS7SOPS5IvE3vjf8b3eR8sXGxx00GMKXCGIoZxxFf2Jvj2p7d+xtNfYmA1u9A3WZgMgYKImmCiSiuYih2IK4i0EloHxBgLPwNkECXwKYYBzN3B+CcCC8wWBTnwOzqdgyPGXYzxZ4zD0Gro30IOBGQz6vUbXDuj3A/pOY2g1hiOZSggBq6st1lcbDL3B2bP5rb+/VSwljAB5kWF21kBlEts6x2a5x5oxZJkEl5924dGAnICntWkxeIPeadjgxybLhaLIaTnFPKsxVdWji0BlLMqdHsAM9SGLBhmH5LlHddIesJJBNjGe7uDxhEPKS5GpSP3/zDv7GYqxwyrmXZlt3gcERoNJWlX+sIwhrSTYEIEnsyETSW9oVSg4Wk1iZAA6VdOT9iNXEpezBnWRwTmPF8stikxB9kNkU92NKRdApuMpiedqux9ZCE1OHk9nkwo/nc/w08UMP5xN4b0n8/Fo9hwOyo7vBWI88cUU87rEet/h16sVlBAAHEJgdzZBdj6gGwwlK7YEOnHGKKq8yCLDaoIfL2b46XyG54sJmVbmCsCHI3S/SjEy3ixFhsEbbEyLTXyuSSYguUA2xhw/sn3/uxSLwBOrSVbnV0BYk7k4o371EMUZJWoS8ETMypMZTyHAuwDmPHpj0GmDdjDj4tZdWRYPVcYRI3EZ02NPXeBJIRJ1rlDl2Tsl7SwyxpmkhNk8UyjyDCqOMW30uvpUab6PjKddN2DXa+i7mIuLg7m4UvJWOMW3UuTfSsDTOF498b0+0KKQjYyndL//Dj59r8dcYQSS7C3/r+QZ987Xw49G3L3r0boO00BG4BnPyBPqe6//Jkp7jbXZ4GX/ChuzQQgBk+hRVokKRfQoe7sYOJuAi8SOjjqs0IGxDLAkr5PiKaT4AZxPQc/mz8N2Ar4S8MQYAxccQgpIdXgID52B1Rb7TYcQAJlJqPxAWQshQPcG/b5H8AFS8g8PggJJ9pKEj5LrGPJSYcpq5GWGZlqiaopP9sRxo8cTMZ0448gjqpxxOUoSJBcYnMF12GBt9si5QhGTgRRPOnD+dSYjcbLPR/r4Y7ghJS017Rdnd5PpfUuVTE+TT9Gp3hPee7SDwc2uRX5FgEM7GEyr92l9H2f975dL/K+XN7jZttjdIdUPOEjUUppQ+uLvkTExUAKRZHKMxu1chy54aBCYnXwGjrX/HyvOaXLCkOF8WuGXyzlW+w6/Xxe43rW42bZj6t6pAEc6Nnfk35DkXcYdUnl6Y7Had3i52uHXqzUmZY66IMP5MiatJSlmJiXt59FhPY7r/fOX4BxFJiE4w5P5BP/+7By7XuNm2+J612K168b2OXV+mIIGEAJSr00r68m4PKXiXW9bvFhucT6pYvtkY8JUERkVmUom+8eJhV9Ilggg4wq1pMQlyQRyrqC9pYkeE6hEjloUI7j5WOo4SdF7P7LYEhsysRyOJ51pIuqj5MZHBmU46gPJRyJ5SIySzHAAuQ+fTb/T1qIbLDpt8D9eXON62z6IFyBwkOgAPHoxAAgu/k5FGV5BP38i4yn5BzZH95JMCmKL+I9zSwOAXlvc7Fr8frMm831UKLMvJ2I5Pu/tQFLlP242WO469NqctI3k4Zfks2WmItvmcG6to4ALE42rleSY1jkQF1VOlfN+rBLDd7AusqhOv1f12mK974klra5grMOLm80n7tGXravNHv/zz2u8XG2xbgf0dzBXBw4sae8P9weexr6fcb+/1/e6bwkmUPAcjWzQyhYbsUUhCmiv8aq/gmD/IzKYaHxLPk0e1jtcDdfwgZIOp3KKeTbDXM1icuGjsnr+21ey/9ARLOxch9Z1WJsNlnqJG71ECB61rDHLZrjMKaWSvwc3YCw9/w9+ZAl84mwGISxCsOB8DsbKKLE70o5/hvo6wBNnEJJD5bR6JiSHVBL9foBzHv1+QF5lqJoC9bQajz34gOA8rLbgnCMrsg/K5AIA78Io50uTeakk8jKDuOAoqgxVnYN/Au87JQCZYGGCAwei/wWxnCaqhGCcku+Cw872aN2Azg2oRYHzfIKzbIJK5ih5Bineb2T8Oesgafs8yXH3rUSr/qtL7Q4xz3eLn7beY9sNo+HxzbbFf/55g/wdqZCPuVb7FjfbDje7Fr0mo/C7VMBhMGkdDSYl52DiPSkRYFBcoRKU1MKNoOQQP8T0GopETkkhpxRjxD5jjGFel/jn0wUYY5hWBf7zz2v02mAP2j9/QtLde481yrrS5Ng4j/W+H82uq1xFGV6BWV3irCmxaCqcNRWmZY5Jmd82xf0bFecMCiRHfTJr8B/PL5BJgf/88wb85TXa3sB6ugbdJwAFycQ2gRi9trjedajzNao8Q10ozKoojUxSvKbCoibfrkkJSJ59cbYaeUZIMBRQXKKSBS2oeDc+GzIuUYqHjYt+qEoTe5P8hbRFb4iR1mkzeg4lgH+U6I7f42Q0LVrFe0oCqd4NVhFgdQCrok+bJR+wq02LV6vdndl0pxcj/ycIApx4A7Aqsp/u34FSYipjjFI0cwJKi0xCGwcdTmPvdIPB9abFr6/XAIAyUzi7917drxJQ2A4GV5s9fr9e42ZLz5pTSnBOQQLxWq3y7C2ZmnMe/WCw7zS0cZBSYNoUB6Azsp1SH71vy4QIahvrxsWHU3tWpw2ut3t02mDbDfj1aoVJWdxzT75OtQMtFNzsWux7jV7fDXgCQEbwIcA5koRKwcEC/04P/l6PsgQTKGUFzgQGN2BtNihFCe01XvQvcK2vR0PztLCaFkx8tJ+YqzkWMWFxkS2QiwySf1vzhL96ueDQ2g47u8PSrPB6uMLVcI3W7qGjImOqJlhkC1zkFzjLFqhljbs9TRgACc4nNG4IHoxXxID6AjPsr8Z4klKAcw4nBaTycM5hu5TwzqPbD8hLAp4uns/HB0HwHkZb9O0A7wPyIoOQ7x/4hkAmgtbSCpSzxHzKcoVmXmIyqyCVeJDnjAsexpP+NuMKikvUIsdZ1uA8p5jKlaEo6q3t8Kpf4VW/wiyrob0dEx+kEqOy8msUx2NjPAFIjKcjg+C/YvmjweRdgCfnA5mMdgNerfcRQPz2mGFjFOonrAiTDj4xG2gVU3xghE+RwQJlKOGDx+B77C0f+79glFxxnIbxoUqmp4IDi6YcAagik+i0wZ+rLbR1RPW/5zECGCfWxnl0cQU7mdxyRqEK07LAk1mNy1mDHxYT/Hg+I7DKB0gh0BQZQng8ktovVZwxcEEA4eWsRiYFLmY1OGPYdD1eLLeUSu8D3CdwE3w0HNeWJLQ3u/aIvUn7cTGt8WTW4HLW4KfzKX48m8FF6Q/JYWh1/ku3URaNxRM5+22B6OO8uyQiuY/AT6cNdr3GrhuwjV/7XmPXa+yjRCm1UQKJkkG8iT8nAMp5T4m1PgJR/vCzS95yPsRUoBAN6P3BR+YOrJQ7HezIaOIENLESYBMCnh7A/JiS2wSa4sCgLJRCCHQPOuWgOm1wtW3xr6sVylzifFJ90n7dq+JzJbEOf7taYz9o9OZExpNgqPMMiwkB+FWu3pKp2Qg8bdsBxhCYMW0KAj8Hg34wt55v9wWfiNlLCw7WphCe0zpXO5DX1jWjc/BNjxVOCOz40DacD5EJ6eMY82H383t9r4cqySS4oBTC3g+YmCVKWWKpl7garrG1O9xOJMQ43jjLznCeLTDPF1hkc5xlZzjLFl/5iL7Xu8p6h9Z1WJoV/uj+xH/t/4X/av8F7QdkPEfOM1SywkRN8Ev105hkd/dblwBjEwjWxH9/uZvfVwKe6D+MAyIqTDlnqKclzqNZeD0tMbuYoJ4eTH1DCJhfTOCMRVnnmF00yIr3D6wY4gRDChhmYY1DG/2jrHXQvUFRZSjKDHn59iDi1AohwHqH3ml0TkeZnUIAsLcDPMiYdWs6bG0H7SwmskRV51CcYk1XejeaujaywNdAV479kx7T8zftFmN/PTnQ8aApxNW347SVO20rbvCgyPpcq+uPu3xIqWMBgqfZ2aHfHPchFg6xxIUoMVWzMQo3pWc0soGKaSEfq1vJN5yTnCQAP5xN0Q4GUnC8Wu1wsyNmVzccGBifUgepF+BZAPMMnTZY7fsx1nzXa1xt9ljUFebRhDxJvepcoYzeJUUmR3bhY2I+PlQdt1EmJeoiA2MMvzxZQFuHKs/G1fT1vqc0rjukX72r0uVIci1ixzAw7HuNG97Ceg9tLNb7AS9Xu9EwfloV5ClzJHOqcoVMygPI+MBt9Ob22NF/v2aFI9mb9WS0P+hDYtqgzchk6hPTSRt0kenUaYM+viZ9txG8vSXBG2V5B5aKi7L9Ywmmf5PxdPTvAwvqbpLN08+FBzAAYQ+EFoAD+TIwAJrMxkMEoQ4IVazT2/K4LyjBMS0LPFtMsOs1rjf7GEf/8eui1cQy4pE5Na9LnDcV+SBFWennrF2vsWl7bNoev16tcLXZYz/oyHr7cOPQYhdDJiVmdYHniwmezhtMS5Ka3npt8hXlDF4wBDB4j9HEu8gkmjJHFhdM73JVvTlWGJm9sV/e1TvwcD8af/O3qvTM9GmskOS03+t7PdIiIAkoRYHz7BwueJxlC7S2Reu6W68bf2YMUznBRE4wVRPM1RyFyP9yc6m/SgkmUIoCMzWFCw4MDLWsYIOFYkRqucgvcJlfoBIlMq4o1fOkOu4Xb//uS9VX49il1YUQV+fhA5pZCcYZqkmBrFAoqxxFfeD/hBAwNw6cMzSzCrPzCbLy/bK0ZFYcpADjHNZYtLse3nn0ncZ+Q8yn2VmDLJc4kdTwVnkEGO/QOY3WDchjvHRAwNZ22JgW2hu0TqOzAwqRYZE3OMsaGO+wtR2WegfBOCay/OqPvkdp4H00wfrWVudOLR/9iQ5pK197j769GgeTcUCZ/FfeV+PKEGMoRQHOOEpRjn9hYMh5DsXvzhyQnKPMJKTg+MFPIYXA+aTCb9dr/Pp6hX+9XuFm12IVwY2HqhAnEto6bLoe2toRdCqj4fWkyNGUOc4nFS5nNfmuTGpcTCtIUY2srb86HUoJ8m1RQuAfl3OUmcLTxWRsn9+v11jtu+i/9oEgiztWaqNeW4TQoxuNyXcoM4WmzDEpMkyrAhfTOn5VYzvxkgyaGf97MdZ8BIB6bbFue6z3HVZtj9W+w2rfR3BhwLaja4qYSx7GuSircyOoZN8lo/PvBo2O5VFhBJLS324zMPDGvz+Pus4DYQDCjoCnEIGnABAg5QBkxHyCx0MYhUpBfkXPFxPsowffuu0xnEAY6qK8rdMGsyrHxaTCk1mNSVmAIf/8wFM34I+bDX67XuNfrwl4agczegF+qBL7NZcCs7rEs8UUT+cTTKscUrwJPEUprxQjEy4AUFKgFJSg3FQ5MvVpwTIB0cvwCBz9XnevUYYUGYlfffD9vb7XByrNgEpR4iI/H6V2FIxjR8bT7fcwZCJDzjPkPEcpCuT82/J//TuVYAKVKKOnV4GZmuHH8hl8CNHqgKMWFRrVxIRC+c0tEH81qR3eQe+tJEdZF/BPpvSw5xGUShUHeyqX0L1B2RTIP8B4QjIxB60MW+PQ7nro3kBIDiEErHXIcoXpvAI/GiHeBQ0OAEyw6KxGZzUm0hHwFDx2tsfOdGgdmYUNzuJpMcNMVvj35hk2pkW301jqHRSXOM9PS8/6XEWsomTp/XhqhJy+sQvs4xWFLIE8zJLR5UMYkP4tK7ENjtgHH6qkiQeAQpQoRPnB19+lhOAQgqMAUCiJs0mFf3u6wOWfNQolxzQlbR02bX/LvPhTKwCjXGj3RvJnJsVoNP7T+Qw/X87xy8UcxpIZblPkkDKAqLjhnfeBU67DhzJSfui6xeKQAkoKhCygyCSezCdoe41ZRWwG62ji2GmLVusHax8gmi6/g+3GAIphVwqTMh/b5+fLOXwIyCNLRMl4LOHdkMK3eq98X785xKB7dNpguevwar3Fn6sdXi63eLna4fVmj+vNHtfbPQZzNxP/b6s8EPQR40nGr0C/RweEAoCm14699v59QgqBWVXg+WKKfa+xbnu8WJ62Wtdpg96Qt9DZpMTT+QTPFxOEAORSoCqyB+nDb/adRObZdAN+v9ng//ztFf71eoXrbYvuRFPxlFSXK4l5XeD5nBhPyVz8rddGGa8VDMzR/ivJURYZqoKYpdm9/BcPx3ZgPDk4d7q/0/e6XYm5SEED4vt5/F6ftU4ZE73vnnf8+1IUKEWBi/z8wfbtc9WnHPPfsSQXkLxCha8gR/9C9ahcxaxx0J3G0BkMnUbfaQydHjnGIQB6MDCDgfcBF8/n4M8XyN/DegreQw8GQ2fQdwNCCMiLyEZKRqBJ0vQJT5zEjBCMj5Q3jwATiAW1tR32doD2Btpb1DZH53X0hPLwwdPK6FuU+O/1V68QDS7TpOo42vd7/XWKcwYhODJILCYV/vlkASUEni0meL3e4dV6h203YBO9ugbroI39JHnX+8pHbxDEpCnOGHptYurUBheTGtMqx7QqMKlyNEWGpshRZmqUd51aifVxzCRJDAI+MhhxmA/Hjj8yTRBuvfZNVsptWRPFv0tOiwqMYXwt58QQepOhcFycMyhBiXdPZw2s86iLDK/WO7xe73C1bUefoHbQGIyDthbugdkGAYB1AZo57AeNq/UeIQTs4s+/vl5hMakwLQtMKzKKb2LcvZIkXv8rjONCZIDuBz36Mm3aHut9j1XbYbXrsNx3WO16rCL7adsN2A/6SH70V72TcjIRZ1OMYFPo6GfGQSbjEgemU/q6f0nBMa1Iatdqg9ebFpMyR6/t6IP1obOdvMqWuw7/+ec1fAh4vpjg+dkUT+cN6jxDXWQR0Hl/TPiHysVkWOs8dv3B1+t/v1riP/+8PmI7ncZelFFeOK1y/Hwxx+W0RlNmyJWMIRK3X89A90ch2AgKO+/R9mRuv94yLKYVGCPZ3V3rODzjrvK67/W9vtfXL+0NTNCw3kFyCckozTxZPjyuJf+HKRMMtCdWluQieqcKUGr0X/OYv9f769EBT+1uwH7dYn29xeqKvhAOqKmzDt558JjI1MwqzDB55/a8D9A9yev6VtPqWmRIWeNgtKWJiT9EJd+3/3MwCMYi8MRiJHMEnpK3k7cw3qKRJTqnob2FDQ4uePjvsNPfsmhS7mH9AXh6rEyR73X/YoxBcnrInjUlMiFwPqlxs2txvd3jOsZ7/3GzwYubLU2aQvgswJMLAYjeLMsdYtraHr9fb0YA4+m8wdP5BM8W9B1zYgcJzkafgY9VwG1QNclCiEHAYxR5ZFgGdrj3xcmaewM0Ygy3PHiSubOLSWTWewjOI1uIaEDpb1Jy5EpCCP7eWzxnLCb9KTyZN6hyhafzJjJoWrze7Mc2er3eYdfruJ/uQdrluJz30JbO3euww64f8Hq9x68FTc4XdUltFP1mns4nEIKDcwYwDvGNI08JkDfOYb3v8Xqzw6vVDn8s6fq43rZoIyDVxQTMwRyMwv/6rFFB/k18CngLBBOZT4jm4hloeCfwEDI7gADdWVlAMIbBWPx+vcakzLHtBmKX+Y8/u0Ig4Ol/hhvc7Dr8fDHHct9j2w14MmvwZNZAcA4lOKRgeP/V+u5ynpIM28GM/eWPmw1+v17jt+s1fr9ej+baJx9z9HX66WKGi2mNpszpXsLfTv9NIDndr9hoYK21gTbEQAUDykJhNinv7PE0GtlHo/u/dh//Xt/rr1UBAdpr7N0e2mvkPEfOc2Q8GwGZv2Jpr7G3LXo3IBc5Cp4jxGNmeHzJuN/r89aj6uVWW3S7HuubHa5erPD69yWu/lhGRtLtB2xWKCyezKCH93ujeB9gjEXfagy9AUKAiqtMIQRYc4SzfhLjiQAnxeVoFk7acQ/jLQZvMTgDExy0txi8weAMekcMKA9PRuj4+tZKn74u+r3uUiEQEHA80f4+kPzrVUpSA4BMlpjXJOlbJ3+aXYdZVSATgoASwekelSbQcSL+EJ4xIQTYEABPMr912wMABCdwTEmJXy7n+OVyjn0/wDoPJQVyJZFJSriS4CMA9T6adIr8Tn46Kfo7MY+kEOAseagA450nYIyidz7E19Ikzzo3mkEnEMqk7TsHKQSBVXF7KaksVwIi+rS8CzWjBEP6vRQkjbyY1rDOR/+gDq/WOzRFBs4YQggQnI/+MAcG1sP4+vgQ4GPQAEmCOkpMFBySE/Pkl8s5ftl3o2SojKbwqY3GdFLcUTp+i3VJqzF33cZd6xiwCIGSXazz2Pckz/rtirx5/tfLG/yvVzd4vd7HPnJ6+udD1Lv9OD++XvvQXk+MCYDlAJsgsAHAFmQwnkpFxlMyHH8A4ElwNGWOqlDojcXFtMa8LrFuBwQMMNad1BbrPflw/X61PmIPWmjjwBnJ1JLhuBIUb//R8xs1da02xHJqB/x+s8b//PMa//PFNV6ud7ha7/F6sz/pWFN/z5TEoi7x4/kMP1/McTFt0BQEPL3zfQzRXJzH+wTIU1Rb7NsBu06jqXLoObXVXdY6kx+R9Qdfp+9rVN/re307lYCnnd2jtS1qWSNIENspMPD36ea/4To+5p3dowkVICPzPYASo/9ix/y9PlyPCnjSg8F2ucfr35dw1mFxOcX8ckLDOnZ7viCVwLN/XKCaFO/dXjJ6FEpAGJrIwQFCcpR1jqLM0Mwq5KUiL6l7dn7BOKaqwvPyDLUsRsmdR8DTYo6Zqole6R1scCgFpSj90d3AgyYu5/kEs6xGId5vlv69/nqVpEIHttPX3qPv9SVLCYE6J3+Tny/myJXE+bTGcpQRddj1NGHZ9UNM57LQ1n6GpCySqjDnsN53+ENwaGux6Qa8Wu/wZNbgbFLhfFJhVpUoM4kyU1Dy3StW2jrs2gHbjmLrEwAlovmujCCKEHyU1vDo6bdtSSLTDWb0NMqkBOcsviaM2yMmVUwmYol1wWCcwy5KbVL0eZlnd8qQYAzIlcSkzEdflSrP8MPZdGyjdduPn9MOZkxQe2jvlYDoAwePXhtcb4nh0ke/oz9uNriM5uNnkwpNlC2VmbwzaKS9hfYWLjhkXCGLkoDPWYkZp63D6wgSvF7t8Odqiz9HD6cddp2OiXOfV0qXwAfOicXC48+J1TJ6IcaglASgHvvGJcBJWzeysh6mwuE7ywFxCfAGo5E4EwCKCD49XDFG7O4qz/DDYor/x09PkCuJ36/X+N1t4Adz2uJJCPAAtt2AP1dbWO+x3LX4/WaNeU33liJTyKUYwdYDkHoIm0l9JoHR3WCw6/UoUX25Jqbcuj09wIFHGVyZKVxMKvx8McO/Pz3DP54scD4px0S6d58fAs4yJUaw3IcAJQUmdYGyyDBtCuRxAfSuQ87Rv/AEdtn3+l7f63FVCAGt67DUS6zNBmfBQjCBjGcQQQDsr3lNd67HUq+wNEvYsACPx+yDQPgOOv3t6nEBTz0BT1d/LDFd1Dj/YY6L5wsacIwTDirGOeppiXryITNgMheXkkNIAe8CwByEEMhLAakk6iZHXmS3tn3XSsATGMNUVRicweBpADaTFTJB8j4XCHjqncHeDnjRXUNxiUpkOM8mmKsGBX+3yeb3+mvWKEdKZtjf+U5/q8okB2MZssgoupjW+MflYkzpWu46vFzRpPvVeoflroX3XZRsPCxQGeJk0LiYVmVd/PwdplWB8+hN9c8nZ/jx3GNel5BCvBd4MtE0/dVqj16bMa5eCg4l+WjsrYSAksSASpO1682eJoz7HlWuUOUZypyMectMkXlvYj35AxPMBz5eQdZ6bLsBV+s9plWOMs8QmrudMM4YciXAOSVvVXmGp/MJdv2A1Z7YalebNrbRFlebFstdC+NIevQmU/dTi9KXyJQ8yc1uti3+uNliWuV4tpji354s8M+nC1xOG4SGgLO7gG20Qmmxtz2Mt6ikJybKZ6bEOx9grEc7GPxxs8H/7/fX+F+vlrjZtrjZtli33QjsGefGRLnPUSPoFCWyMgYFyMhmETwBUgSIiGOAKkpDQ/QdCyFg12sAAdrYB+wPUZzPcoA1BDIFC6AHQk+/h8RDLidzxhDAUOUKz88mBKoIMuG/3rYYjIX3HzeUJYJSwK4f4LzHat/j9+t1BEpVvObp50xJ5PFekQDAAOov3nsM1qHXB8C3GwxabUZJXTto8syzp0liOaPjW9Qlni0m+Plijn97eoZfLheoC/VB4CkxtgAJKQUYY/A+QAmBKleQUmBaF8iVvFer+CNPSGr97+OF7/W9vpUKCOhchxu9wrW+jglmFWpRwzP/l7ye6Zh7LM0SL/tX4KDk6EbUcH/RY/5eH65HBTyl1Ln19Rb1tEQzrfDDPy8hpACX/DY4xD4s84gvoUGgFBCSw5qYACQYpBLIS4WsUOMA4b7FGUctC+RCYSJLbMweG9MiAJirGvOsgeJiZDxdDxv85q+xtR0qkWOmKiyyCaaqQi7Ud6O1v1klo/tDTPfdi7PbK++c3Z/B9y1XrhTJjJI845GfAwJbBMpMYVoRezOEgHWMhV/tO/zrdYm6yJApgSzeqzhnB3+jOAFLBtv3BTtC/GwEYBfNnBmALErsZnWBXtvRJNh5mnSmSfibnifWeux7AkbaQdP+RuApHUsCn+hn+hzOGW62LV6tdrja7Mk8uyQT7ZkvyGeKSwKyUhx6BCEsd1GORwyTtjfYtD04ZyNL7HhS/LH7PmMMmZTIJFDnwKKhhY6URLhue7xe7zGrCpSZQq6iPAhAG1lPYxslY/RPkF2lNkpeRpuWJJKZlMiUwOvNHsa6ccILUGpYoWSUAH08GTQAMN6idT16pwl84wqeH/uNHZ5Sn/LsTG3hQ8BgLPa9xnLX4l+vV/i/fn+N/+v316NB9KmMlTfrGES6zU46Zi0djiO9lsc0MyUEpOT0Pco+bwNQ9F3wg3eZECz68VAfldsWxjps2fAgRo7xrIHkdQLgM4DPyWTcLwEscfB3OrzjcEbuXofzAxSZwuWsQa4kfAhY7jv8cbOGcdQvtfm47C4AaAcCiI5LcGJU1RFwLiL7KYseczwGuNh4bfXakgH9MKDXlBI5mLszQhNoWCiJeUXJez+dz/DTBcnsni8mH/W2YwxgnEGEw70weIArhjyTKPMMRQTO757YBwDhFqB5n0oBEXy8Bv4aYQR3rfKoT53qW/h3q5Dk/bHfkR9tDGR6xz1FxLh3Edmxx8zP4xClxIoU8bXpmk6fmcqDPBRtsGRpwgUkk2/NkdJ2ffDj17FgPO0jMTbFuJ/v244LjrYRSPp2m8F6+7qjiHva5pvm4Gkk5oKHDw6D19jaLW70DV4PVyh4jlrUKEQBDwcPjyzY0XSbg+4T6fvnqrGdQ4BHPIdjOx+fn8MxC8YhIG6xUI+P2QfyoTPBYGu2uNHLeMwFGtmgEhVc/AwnDsf85rG/uY8+eiKndn5XGzOwsR/yo2W3N7dH/dkhhBCVVcSmp/MQ3ujn7Pb+Mf7WPqZ9csEjboECdd464yzaO3x8H2k//NGx+1vPtuNrKhm107bFW9s+vB4IcVu0z+++nnnczpvG95/aFx8V8MQ5h8okijIDY8DQaaxvdpBKQCoBcbTSxBiDzCRUJiHVe1ag4iAgrUQCNPA3mjyf2LLFZE6RhUWlIPj9VnQZMKbZ5TygkWW88QZUskDGJQICjLfYux4ueMxUBVU/RSEyzFSFqapQigyKP6om+V6fuRgoiSv10ftcz4KzcZU4TX7T4PbvVk/nEzKGLuj4xQn+II+xMilQF3Qf9CGgyhUupzVW+w7LfY9NS4a8BBANY+pXr83od/QQbBBiFngYB7S9xh83GwQEbNoeP13MsNrP8HTWYFYXmNUlimPvk4j8pfUCH/2ewADhOXwI0MZhMG485ixKa7rBwHk/TubJe0qgzBX5zORqTJUbjMWgLQZrYRz5QvWajKaNcxHYkjH6/GFW14gJRRI8BPr3pMrx/GyC1Y7Yatuux7bTb7VR8rqyD2QcH6IZu7Hkn/Ov10to63Cza/HTeYt120d5ZIF5XZwwaKBE1sTMldG78Ja0DPxo8H7/IqkUxcK/uNngt+s1fr0iL6cXy+0IOCUvrbsUY2wEhHKlRmloriQKJQkkPGLcHQNLgtO9QxxLQY8AJppsxHs2pz7+phzPWIfeWPTa4l9XKwzG4mqzf5gV3uCI1eQ3JKsLJQiIsmQy7lcAqwFUGOV3D1iCEUATYhDBf3t2Dus8fr9e49V6j1frXWQ/hTt7cIVoKt9pAtd7Y6EGM4YzsKOxnA8BxjoM1mIwdF055+9872OMoS4yNEWGeV3iH5dz/HK5wC+Xc/ywmKLK1UnPZvIVJX86bUheHBAwaEsM0P2AgIAiv/s47zChOoCn96lCHcYKhZLIM/lez6q/cmVS4MfzGWZ1ASUTKP+19+pxlYeH8QbGW3Suw9busLM7aG9GIGAE9sHRyBpTNcVUTSCZHCe/gxvQuQ6d7ynd22l4eMzUFDM1RS3rNz6XJtuta3E13OBKX0OA4zK/wEV+jkIU4yTYBReT4gz2dk/7aHYjcELJuDwGQAlM1QRTOUUjawh+mJzbQNLy3g1Ymw02ZgMddDwGGb0xLWywEQgAgIBa1pipGeZqCsUzSEbgmAseLlCA1M7usDU7rM0av3a/4Wq4wkqvoJiCCx4bu0HGM2RcIec5ClGgFAVKUaIUJSpRQn5G43EPj8ENGPyAzvWjH5Px+uhplRbMAipZjW2X8Zz8jZmCDz4GZlns7B5bu8XGbPFr+xte91dY6zVJ7OCxMVtkQiHjGXKexWMtUIgSVTx2xdT46TZYaK8xuAF718Z93N0CGVNanmRi7IeNbN6ZGOiCwybu3+AHKCYhuUIIHr3r0fsBxpsR6FJMohAFCpETS03WaGR9a5ud68ZzN8RtDG7AMSCWQLGMK+o32QyVqEYg67hscBjiNlrXobV77F0LFwG3AMB6S9doMOO5zEWOuZpjrmaYKgpfY2AjDmGCweAGbO0WW7PD4IcjoA0jgFWKErN4HjOejwmMn1qP6mnDBYPKJPKSPJCGTmN9vUOWR4DpKH6WcYayzsE5ey/wND6kBQfnHAg0+Rl6A90bDL2B0RZFmcGfNRDJh/M++84YGBNxlVSMXk2S00WgvRnlC4kJ9bRYIOcSWRzYy4iaf6+/Vx2vxt8HJhGcj0lX87rEtKb451w+qsv7i9TZpMLTeYMqz0i2xd8wh/tGKouyklwSG+pyWqOL8pF20Ni0A16vd+SDs6GJ3uv1HgyUUkepRw8DspDpvcM+AC+WG6zbHq9WO6z2HXa9RqcNfvKzcSJzXMdMEh+jzsEAJTxCENA2AkTWRWYRTf7bgaR5iVUiBCXOFZnEpMpRFxmxGzTdLwmEIjCnNxayI8mddX5kAxHwhJGx9SnFOQFPkvMRgHq2mFAbRY+Z5a6j9lnvKZVtvQewQzsYBIQHA558NKH3PmC176Ctw9Vmj+vtHpu2Rzto9BdzMADTqvgoBJHMvXunsbc9VHxGHa/ySc4RIKDYpxlX+wg69drixXKL/8+vL/H//fVVTHtsse2H0cPrrsUZpZJJKUZAYV4XmFYFpmWOSZWjzDJUmUKZSxRKoYiT8GPvsXd5Oo2EUnYwXk8My8Se6AaDbU8eZ857XG32dC08yHXpgNABYQ0ECbApUWvCMfDkiQmFtCr8cPdBSo9UkELgyYwA5SJTmJQ5BL/CthsIUIQji4M7lA8k0/WeWHA8gn1vr6wffJ78yPy8O9AFUF+p8wwX0xrPz6b4788v8B8/XODnixkmZYEyVx/fCJJclLymBm1h4wIAmaeTgXqRScw/aBHx/kr308Tovc94oVASs6rAoinpWqgKNMXfz1tUSYEfz6eYVkUcK7ydUvh3Lx88tDdoXYeVXuFl/wov+1doXTuyThI7RTCBJ/kFnpfPobhCwQti/zGB3hOYszJr7G0bJ88WP5Y/IOPZLeApsTFccNjZFr93v+N/7P4TiknYyX/HRDXIeT7ea9PkvHMdXg9X4z4m1pKHHxlJiin8UD7HD6WH4goZFBjnYCxEAEtja3f4s/8Tv3d/YO/aCAhl8IHAmd4PcMEhATGX+QV+qn6AZAKVDGA8h2QSHg7GGwxe43q4of0aXuH1cIXXwzW2ZgsXPFrX4Wq4jmwugVIUEciaY57NcKYWyHkG+Rmn6z549H7A1myx1Ku4j1fYuxbHgFNiy5xnZ/ixfA4GhkYGMBRQQsHBwQQCFq/1zdgWaXtrs4ZHQGs7XMlrSCYhuUDBc8yzOWZqhoWaIWQLZDyDwuG+64Ij8NPscK1v8Gp4jVf9awIC4z5mXCEXOXKe4Xn5DABQCrrX8jfm1i44bMwGL7o/sbU7ApV4AR8c1maDtdmg8x1ccHDBoeBFBGGmOM/PwBhDJcpb2+1cjxt9g1fDFTZmg40hYGdcNACjvsgFalHhp+pHCC6R8ZxiQNib4FgEfCNj7Frf4Hq4hvbEEg4I6N2A1rXoXIda1pjICaaqwU/lTxCMYyKbcQweAJhg0LkOG7Md22djNiP7CcDIclqoOX4on4MzgYlkAM/eyRS8az2qmSkXHDKTyCsCnsjzaQeVKahcQh2tEvEYV6uyDxwCIy8oKTl4pDYHH2CNw9AbdPsBZZXDGHcSbfmQ9hPGQc+b/06rmQlACiHABIvWDtjYFku9G1lOT/PZ6P/0vf6eNdLeP4HxxBkxnuZ1iSfzBpfTGpezGmX+dxlMHtLEmiLH+bRCmR3irhkOiXCJ9npMSX1sRQa1JMEDgKbMAWBc3deWTLOT6fK0KlDlGXIlcbNV2PcUMz9Yd4je9ofJ2V2LKMmA88QuWu46rHYtJdbFdKVMCErlk2JkiXBGJuJFpqBjQh13jtLzBDFMfAhgkaGQvEt8oCQ7Mi7naAoCmqpC0fecvhLDxEeGk+B89Hzy3kWZFEehyJtJfcrKwhuV0uMgBUooIpYAY3pfYhz9udxi0WwxKfNR2rHtejJA7vUoFzpun/tMnNN5swN5JF2BZEzJgB0gedTZpBqj4D8ku/PwsMHDRHlA5+TI7OWMQwWJIq7ufsop1dZh32tsuh5/3Kzxn39e4//6/dXIFDIngnMJBErJjJSMRszPMpNYNGSKfzapIkBfYF6XqIoMdZR1lblClamRLZrAp/vWrjv4gL1abVFlp7FmTquAkeEED/J1ao++OvJ4ChYPxfI7Ls4ZMi6i31E5MoYEYxiMxaYdsNy16LRFp028T5x+/yEZ8WmeTHet9Mxl7HZfeTJv8FNMr/u3p2f4t6dneH42GX28TnlWBCQGH7EtOOdQigB25ygUwNh7MvhwYPGNLP579KdcCUzLHBfTGpfTGhezGoumuvuGvvESnOH5YopJmT8qdjQ9b0lGT3K0t2Xsn/vzU7ng0LoWa73Btb7Bjb7BUi/Ruu7WRDVNmDljKERBnkXKg7EKCmoEdVrXYWlWuNFLDG5AKUqcZ2e3U03hI7vFYG93uBpu8Hv3B3Ke42nxFMbbcZ7FwGA8MZ1WZo0bvcSNXmKpl7DBxX0Mcd8AyWRk1xQkc5N1ZK8S8ygxu671DX5tf8fWbtHIBnVktvS+x+AGmBi84YJDQEApST4GAFxy5DwfZWsuAmN7u8fGbLAzO7S2Q+/6A9vK21F2NYhhNBwvXQkjLR42puTt8sGjsx1WZo0rfY0rfY3XwxVa1yVxFUbgKQRIJjDPZtBewwVKZj/4bMZjdvpwzHaH1nXo3QDBWjAwuODGYy5EDsEEFFMoRQETbAxbOsyxtTfYmh2u9A2uhitcDde41jewwY6POMklMq6gIgBViwqNqpFxAqOO2ToeBPrd6CWWZoWCE8vMh0BMILtF73rYQFLPSpTx/itQuwrGm7daxQaL3vXY2R02ZoOlXmNjNuP1McJKjKESFSpZYa7mqEWFjGejb+Tx9nZ2j2t9g6vheuzf9uga2NodVmaNtV4TUJktoP0Z5moO7TW9Lq47JTbX2myw1Mvxet6YDQk9o+Qu7a/1FrnI6dgB1BIPosp6VMCTEBwqlyiqnKjq2mK3bqNHE/k0ja+VAlxwFFX+3u0xxiAkj5I8C8YJeBKCo2oKFFWG6VmNssqIEXXCfd2NVEI/ftngKf45WPIcCQ42HG7KANC6ATfDFtd6i6mqUIkcF/n0k87X9/r2K/n1yCAgxAF8usvcM02Cq1xhVhW4nDX48Xw6AhZ/9SIKNF1zhZKYlNnBu4Ed07EtBmcguUDGJXL+bYG+CTBTgqPMFc4nFSSniPMnswb/fLLAuu2xbXtsugGbdohyL5J57QeNfW/uNel5s4wjQ2BxtQYAKMmRKQlt3cgoyRT5QjEAdZGRPLAl9lECkEKUWjnvDxInzqNPE01W84ykUWVOPljEBiN/rIStMkZJVMb5A/X/SPpU5gpVoeIE8pMP/73FGT3HMgCTIoefBeRKYlaXeH42oSj5jvy7jttn2w2xfTS64e0BzX2qP5J2Ub8hA/tFXWJS5Zh+4P4gmUDOFXKuEALQWhpsJ8lCzhWCCpR29wmm4+u2xx83G/xxvcZ/vV7hetuh0yRROhWAYwxjv2mKDIumxKIpMatLzKsCs7ogn7AiRzMClwQ05ZIYTknmmRh3p3hhfd2SAKsAfka+TqED3K8A4s8sA1gBMIWHltm9tSeco4qMoB/PZ/CBFgBercmj7Wqzj7JgSuf82laySpD0NleCWHBNgbOmwvPFBM8XUzxfTPF03qAp4uruHfCdZC6eKYFQZhCCo8wlmjIjs/NeYz6tUGT3efYk3zHq6/e9l0lBiwGTIsf5pMIPiyku58099ufbLsEYZnWBOlcEqD8SdrT1HjujsdMaIQQ0WYYmy5GJzxvucFxpUjt4jaVe4Y/uBfa2heIKP9c/HTEeGGwwGJyG9gMynmNn9/iv9l+4zC/wpLhEJSrkPEOjJvAIo4RrYzZoXQsTDDz8OC33waNzPbZ2h43dAQjRE4ikWMceTx4+Mp2u8Uf/Aj44TGSD2eR4bsWg/YDBa1hvwBnHUq9gvMGT4gkBHkdjQWI2aezdHoMfsOBzLLI5KlGNIEwCkva2RSkKDE6PLCvBBBpZg4/bZTjLzsDBUckKOS/I2wgeF/k5LvNLzLMZMbAYASaNrFELknLVsnoQedOHykU54Kv+NVZmBcEEnhVPaZGJS0imolSLnstTNcFFfo6JmiA/ahPBOBRXYADO8wU4Y6hljaL9jWR43uIiP8NlfolFNodiCopLFIK8rki+1qAWFSQXt3yN9naP18MVfm1/g4lA0H9r/g0CnMYljI8MMwLEHJZmBdd6LNQci8iiet/xd67D4AdIJlHJEotsDs74CCBmPIsSuxITOUUtq7fA4JznmKkZ2enIKZ4UPQanxzFpCB4722Lv9pGtSzJLpRWmagLBxC1m2+A0lnqJX9vfMHiNQhT4Z/0Pul/F4349vMaL7k8659kZLvMLXBYXmGezW5LUAJKKriPLa6mX4IzjWfl0ZIcBDC5JGr2GYByDH/B7/wKd7/Ekf4JCFJ/cHx8V8MQFR5ZLFHUOM5AMru/0aNh4PBCUigCq2dn7H5gsTgIQfaA4ZwgBEbAiBtVkVqGoMrATU+1c8GPUtPEOJthxQts7De0NBkdovXsDeFrqHW70Dpf5DJf57MGkMN/r2610s2YiHA0mk8HdiduI8fTlCDzV+Ol8hll9Pzr/t1YueOiYJMk5R5PlUEoQK/LoNV2UDmVcAtF77XGscZ5eaeUzTXAmZY4nthnNpve9Pkpb2+PPMW1tD2xIhucD++Qobus8lrsO3WCgo0yuUGo8m1WmkEmJWV1QQlWRIc8kgUVKEIupzMi3RcQV3SMZU5LQ0DGTv07yeVLRYD35cijBkWcSU1eMx3WQRQFAYli9EVDxGYpWxADOBJqSDOHnTYHnsX2SKflqR230cr3DyyW10fW2HdlbD5GG12kzTvoZSBpY5go2ss7eBzwlY8pcSOROxcG9RusOq8zJj7CRBYD7A7ibtsevVyv8n7+9wq9Xa1xvW/TGjrHxp1RirqhogP/T+Qw/X87xfDHFk1mNJ/MGpVJj3xlT6o7NwY9Yp/xbMBtmgjyc+ALwWyBsAf8Ko9k4y4jxBJr4PKTM7s0SgsfrnUC7psjwfDHB7zcb/Ov1Ev/1WuHlaguf0v2+8rAnJcxNynw0D//xfIqn8wmezSeRMUvMN+oLpxdjDFJyZEFCCI4iVyQZ1Ba9NugHi9mkvLfHE+0PH6Vhh/vl6duRUbLclBnOJiQt/PF8duf9+daLAWPAhYgLz4/hknchYKc1Xu/30ZS6Ri7lFwWegCizixPf37rf4YPHj+UP+KF8jlrW4+S3dR3JiuwWbZxUvx6uEKL/EXIg4xkmsoGAwJ/8JbTXWNsNWtvFuZIbZdw0VuuwNmtszRYBQBMBiVKUkFzESTwxcMgH6gr/tf8XFhlJg34sn0MyOW6TvHw22JrtLdZV8nyaoLl93F6jtS20N1BMYaHmo7dUyQu0kRV1M9xg8BqDH/Bn/xKckc8VgGg2riCFBM/PMJENzvIFfPDY2i0GN+AiP8cv1U94WjxFIXLkPI+MHQJ7JJfkPfQFgKet3eH1cIWt3eIiP8dFfoGpmozeS5zxEQRSTI0+VMnLCyA5mwJJsM8YRy1rnOfn8Zh32LsW59k5fq5+wvPiKXKRo+A5Mp4djpUrqLjNENvDBoe9bfF6uMZ/tb+ilhV+rn7Cz9VPKHkBySUkk7dYbz543OgVVmYDX/rRr+h9fX2Ink6VrLDI5vip/AGNakZANJmVExuNvKnefDoQ8DSNrKDbfyNZqB3lbTu7o/NutqNUtRIlgMO4THuNG73Eb+3vUDzDL9XP+Ef1M0pJnl+SCfzaTcDA0LkOZ9kZLotLPCueYqHmKKMUMPmdWW9JXtj/iRu9xI/lD/TabA4OMsnXERTe2C32do/WtljqFbTXKEWJi3CGTxnzAY8MeJJSoKhyTOY1hm4YvZiOyzkPbz28C7DGwn9g9Z5Ff6ckyctyhbxUUF6irHOUVYayKZCNK+GnUakTUumCg/Vu9G7a2Q6d0zGF4U3Gk8bO9tiZDo0soL395Mnf9/r2K02MRyPbOBnyPhksnrANxJXW6DeT/EzOJnejz6d0g0NiBP3MkTwlDsg5gCPDvrSvyWySjQODtK30+hFcACLdNqZAHH1OWmU4lq2m9yaW4fg5AGzw2FkHYwMABy/cSHFO+6y9RWcHbE2LUuTR8P/omMekDPpcHh80x8dxTPsFMB5L2rdkOPy56pA+xIhV8w5D2F4brNoe632Ps0kVmR5kmltlJMfrotGttsQssd7f2W/IhzDGlweEUUom434tmhKZElHqpEZ/pTTYr4qMkvqOku3G4zx6YH/odIoI8sjAkavj7JHD+frSRaANfS5N8N5+QG+jBGvd9pjV5K9SFQp1PIeFUtDOwVgLYyOb9h4+R9Z57BwZmheZQlNQ+zNGqWEX03p87r3ZbwVjkExCcYHeOQzRYDYN5AXj5KFxj3PkojzTB/Kk+uNmg//884Y8nbr+5L6YEupyJTEtC0yqHD+cTfHPp2f496dn+OGMmCtP5g0ycUiufdxMptOKgUc2U4nAOsCnNLtATChWgZhODJ8deIrPrQwR1MkiG1PwUXa366nP05LKh47rsKvHz5t3PQff9NRKBq6H9MJkBM/GRR3BOaZVjllFYQj/uJzjH08W+OlihvNJhfNJjVlMFz21bsmEwm2pHQFRDM5zKC/gfIAUb19vpxZnDGFMT2Sj4To9y04HakUEahNL+vyOY4W/Y/kof3NxUeQwRolm7zjMIZK8P40bxj459unDNlPCWzKN763DTmssewoiqlSGuXOwwsFHSToDxgCEh76fpVQ3Fxx632NjtrgargEA5/k5SaOibEkwQf5AXEEyARss9rbFjV5GKdYAgCRQ6dmRJuzORw8kR+bJiitIruCDi55Sa2ztDgAwkRPM1BSlKEeQw8UxXhslYq+G1+CM40l+Sf5AXEEgmpt72j5nHNobbMwWxmtcFhcw/s20VDp+4+3IdJmpKS7yczSRlbN3+2inErDSa2zMFmu7wUROMERD7jRuBUDMJ1mjdjVeZq9QiRIZz9DIBotsgSf5JUpJhtrZV2DiByAesyYpY0D0Ki5QywoT2UDxbOzDbBzv3jbtpt8BALG9atSw3uJl9hJVlJM1ssZCzfEkfxIN1Atk4t1MJOvJzJ3k/h12doe12SDjCqUo8Sx/glrW1HcYMac4WPRp2mIbwc2JrHGZX3zg+MMIcAFAJSpc5OdYZItbpt/J5Sod75vAk2AckivkoTicq6N5kvEGuchHNpf2BnvXQjCBiZrcIqsAJLVr4/U0URMoLnGen2OmJiNA1/sB18NNZGNRW9G1UkFFQ3qS76ZUxR2uB5LNnmULWpTk+SEFjzH0LiOfssg+XOoVFJfoXX8vK4g361EBT1mhMDlrwAWH0RbOOlhz0PmHAHT7Ht1ugLMOeZHdSrp7VzGalUPlEs2sBBc0qVUxES8Zl5+6vMkZj53mECkJAHv0MJEJlXOFmpNpWqqd7eGjhrgUeUwJ+vYHwN/r0yutWJL3jUAuSTJknTuJFRdCMm72Y6rXfW4NNriRrTd4g8GRIX4WddOSixF0BcO4MsPBIguQkk5oQCTgImV5cAaMsbhKQNeFiNdO7zS6+JXkb7kgvb3zREiuRI5KEljUO43WDdBREy+ZgPEW13qLG02DlPNsApdPUIqcmAzxc/ZuwNZ2CABqX0SJnr91rJT44OIxk+m/iexGG9wIQjFgNF3OuEQuMhRcgX/mlamPleDEPqCBKUOpJM4mFX48n41pa8tdR+l4uzZK8kj6lQbAdy1tyMw6sbHqIsPTWYNcSmKWCA4pRJSuEGiWS4Eseg0lFtKn3g2/lbupiqwQwQmkaooMT2YNVvsOq12P5T61D33fROlkN5h7t1E7aPy53MIHMtWdVQV+OJuOSW5cvH32Uqt4kN+OCx6SCRRCjYyn+2TaGevRG4NOW1xtWlzFFLR9r8eEw48Vi5JTKQTOJiV+uZjj58s5fjib4tl8gqfzCRZNgabII5vhW+kdp1aIyXaGvuARp7sADOB7gA0gD6gvuMDFDvLxUeYcgcaP9d0EGh0DRwAxQLy/Lb0cg2OOWGoiMtlSSiElF6pRppuS3GZRfjmrCpxNyPtr0ZSoizx6Vt2vQqB74W5P91TvD4lf/WBGqZ1zE2RKYlJ/dJMfPE+SH+Sh1nkEd9q9wUdgTEcPwIeYSPwdynqPzhi0JqkaSA7OGUMmBBTn4+ITZ4B2HtpZaOeQxXFdLsQIHvkQSDXhHHwgn8RMCFjvsdUDekuLOoO16K0FZwzaOWjnITlHqSQqqcaFjoeqJMnRjib76ct4gz+6PxCCRy0rUKw8H9lB5OHTo/P9wfc2bpN4etHPh+doZIOJasAZI5DJrFHLCjXqkfG0NCtszQ6VIFPnRTZHJUtwJkaQRPvDPvauw42+wb/aDDbY0T+JMWKDtPZwLIPvCbyPR3y72Ci/kyDZVZJ/HcCX6MEkSrS8AxhgIkjig3/HNh93iZGddDa26R/dC6z0akzsa1QzJuyRnO7zP1M9PAavsbctej+AMRYZWBUKnlOKYAQ1gcisi5LOwWtca4O1WaO13TsAxkNxcBSiQC6IsVTJEjIClbcWQt/zcyrjDVrbjoy23g/QXo/90AWPG32D6+EGrWtRyQpAgBUVfDSsf7MS2HWLzc/e/vRjH6k3ywYHHQ34O9eh9wTi/dm/BAPDlb6OjCfyG2tdh9a1dD27PnqZHRbdP7UeFfCkCoVp9F/y3iP4cHs1yQesrndYX23R7npiKn3E/DOxBLJMgs8qlDXFXzNBFHvOEyvqtH3kYFCMZHsi0MQ3rVZo76CdRSMKzLIalThQ5nKewXiHzmmUIkPGxTczUfpen79oMElyIIo2tnGF7eMTMTI0JdDJxMHkfdh0Y5KVI2be1vZobY9KFqhFjkJko78ZwFDJHFUEd1o3oLUDXPAjIGO8xc522JoegnFUMkctcmRCQTEBxQW2tsdK77Eye9QyRyNLNLKIYI8lACprxnTIzmms9B6dG8bPGbzBy36FF/0SAK3cJJCMkkI4SYVsj63p44OVHkI20DW5M914DL3TqGSBStIxD06jdxqDN2T6GchHqBI5SpGhlgUCAMXEJ/ndPEQJzkcT6yrPcDapKGVJW+x7jXbQeLHc4vfrNX67XuPFcgvvA3adJvbKPYCNwTpcb/ZoB5JFP5032D0dMCkpeYZW1zk4y5BnCmP0POfvfYj+lUtJen4UkZ34ZFZDO4d9T4mF227Ab9dr/Ha1xu83a7xccgJrNPXZ+1zb+17jRdhi3faYlBl+OJvS9jK698g3nqNp9Z4BI0BL/hUZcq5o8YTJezE3jHPY9Rqbtsf1th2T/xKz65TijNg1eSZx1lT492fn+H//8zmeLyajx1iu5Cip+5r963gC9rBbTcCTjVqreJQhGo6HIf785Squ843gUZJMEvCED56IW8ykdH9ANOxHoEMCIpMIEFGiS9JJMZqEl7lEGT2MJiV9zZsyphqSsfysoq9MiVtpmm9eB6dWCDFIxjjs2gE3qz2sC6M/VNsb7PsB+06T911zN1bVm8Wi1DqTAkqImETpT+poKQXTxBTQ78DTaeW8x95oLPsOO63RWYvOGkjGUUqFUikKJIj9uDMGe6Ox1wZ1ptBkOWqlIpBK99TOGHSWvGErpVArBTDE7RswMAyOgCcAaCPwlQkJhgKFePgRRwgUud77Hu0I6vTYWfIL3JpdZOVET6ZoBu68OzAQ37jjpueJ4IJMn2P6FotSvZVej8wLj8hi0iu0rkMlS0wT8CRKiCj5Mt6gc/24f10ygvYWK7MeWSrJyNoGGk8mGX5KO3uzktQ8gSulqNDIGpWswCFGxm/GFSpRYhtfZ4I5Ap6+reKMUtbOsjO44LHUK7wcXoGD4yxb4Dxf4Myd4SxbjNI6zsR7gY6HKhclcHu3x+DIMoDG5iVyUdCC+JHnF0k6J1BM4Xq4HvvC3rVkQv6eIm+qDBlXmKkZgWtMjn3ouD50vDoY7G2LpV5jbdZY6RU2djvK9EII2LsWe7unhWyQ4X3qN+8afQeEaC4fg5HeOOdpceN9bUEMRmKNXT6nagABAABJREFUtSOQTNfzy/4lWtuOXlDpej42zv8c7ftVgKc0GEnAUgiHnw++Dgxg4a0HqbcOZjAY2gFGW/hTB6qCIxMceIe2Pn0uY/Eks/fT8UlyROglDwwu0E2wEBkqkYOBYaJKzFSN+gh4EpHiqb3FRJYoYizh9/p71y3fMsGQSRo0kx7Xw3zgvalCoMH5YBwG40aa/11LR6BoafZobY+9HUg6GtlH2ttb6SU726G1AxhLK3h047TOESvJGbR2wN71EOCjNDVzJOGRkcGkvXlLTmG8w94OGLxBLjJMvEMQ4UjW2qOWiVZLA6XODgDDKGM9PgM+hJjQRdcgyfUIbGvtgLVpR7ZTAGifbBi92zqnR6mRYCkimHzcPAIUF7eu969VnDNwLqAgcDy1MdZhsA7aWNRFhjLGxpeZQhnNldvBjPI57ylZ55R+5LzHfiAGy7QkM+GrbYsqzzAp85FVk+Q4D13fGnM0SZMgQYl4oGeQtnT9dtqgSIbqmUSVKeRKodoodLGNBhOjok9kNyZAet9rvF6nNtpjVpHxdv6GbNPFwAwTbBwgJZlpoqUfopWP+8gpbZHkV6/We9zsWqzbHvtBn3r6AJBB8qTKsahL/HQxwy+Xc/zzyQJPZg1yRcbRSd75tSrJn47lNA+27eAj6NRHcEkBfAocT3pGc/HPW+MYLgCdtmSY3w6jb9m6G9BpA2PdW+dARKZS8l2qi5gqGNlLjDECSZw76uvhkEjHOYQQkf3GD/e0TKIpyUB/UhYReCrIWD+CUQ8bvnGQYR+3OWMH37p4su7kx3Rcx9eW4CyyuhRyJeFDgLbspBVp54ntRKmR7mQvtb97uRDQW4vNMGA19NhrMgBXQqBRGRqXQXKSqgjGYOJiYECAdg47PUA7Cx8OyXXEYHJxciiITR1oTOPimGqrNbKuQynlKPN7OO7B23Xsq2O9pbSrI/g8GSUg7gUDI5NoQXI7GZnwU9kgj2bOqe/yQKl3UzUZJUatbXEDMrGuZDX67exti8EP4OCYKAKqClFQChxsZD2ZCCjFZ1Q43keM+8gZR8ZoX1Tcv0pUqEV9y1g8vfdNP588+hCNrzkCp5L0zwf3XvDgsRctDFc4yxajCfjetbDewEQwRTCyp7DBERAnKtSyhmTilhztIStJxIw3cBE4kkxFaV2Shh2FjjGBPM6tJZNwwaM/SiF8XzHGoZgck+0UT8ESHx/PpDYPIcRkwBVeD68J5PGkdEqADl03qY8CI6wUDqmAx8UZJSQ2sobiGYbo+TR4HT2xFLZ2B+MNGZNHdUrOIyM9npvUpjaQn9q4z7gNFKfrmfyj5CgdVFxipqZ0/T3AePurAE/ekz+TNQ7OODjnSVanHYy249/SV6rgA5av1li+3qDb9cjLDPPLyQc/K7zxoD/2Akj74h0N4FkcBL1LdjC+PwJTPABgAgwBuVBYqGaUHE0UsTaOtbqMMdjgwRhHyRUaWeA75+l7HZfg0fSzyOJA8jTZSYgDmE4btFpDW3evVczBG6xNi5f9cjR3liyZPWrY4NHIArUqIBjH9bDBtd7CeIfzfIKLbArBODa2xca06J25hZgP3sJFv4PkiZRxiUoWWGTNKFfLhRr19X0EfHwCiiJ4NHiDGsRIKgA0ssRE0QpWI0vUskAtizgIJMYTBzuirNL5MYFAsrXZoxAZgcIiQ+cGtFGap50dI3xnqsYsq5BzFVlUA7z1qGSO+znefJni0YSbgaLlGRiaIsflrMaP5zNcb/Z4sdzixc0Gf662GIzFYEgGcEqRBJGS1G52LX6/WkMJjhAmqHJ1bybB36kEZ8gkB6BwOW0gBZllP51P8PMFsYL+WG7wYrnBctthsBaDsSd5PyUQhAVgP2i83uzxX6+WeL6YQHBG7LT02gjSdm7A3vYwwYGBBqfWe7R2AAcZjNNg7m7gRm8sVrsWL242WO469PoUeP125VJQkuORn9PkiOX0GMDIED1hrHOwSdL0YHOSxGjaA7AArwF2DhzzH3gDsAk+d6qdH4/T43rbkqH4/5+9P2uOI0mzRMGjq62+YSODsWVmVfXt7jsi92Xe5v+/j7TIvT1d1ZVbRHABAYcv5rbqMg+fqrmDAZIOEgwiMvGFIECCDncztU31fGe5XOHlck2JhcsNSUXvOM6JkgRQpxrPQ6rc2TQffd9EeP5ET7BYDCDGepTZBYaUFORdpAMIleoDqZ1WyBKNVEnIz5DUva88CBDNU435JAPARhZV0w7YNR2qvMdimiHVnzf1piRbOaYzGuvA2HDU+WUsSV13HUlbHyLl9J+hXJxnGYNd32PTddj2HTQXQJzXsMBKBZBLhUmSoFQKu8B+2nTd2LzinEEyjlJraMFRKI1Sa3h4NGbAuuXYmR7LpsGu71FqjUWaYZFlmGiNTH4a4/TY8tgDLJopSDXFt9m3+C57gVzezRbiECNoc6IXmL5j5swYQxoMmHtHTcfa1uhDYlcpJ0E90mNwA5x3lDIWouej1A231nQckkskPMFCzfFt/gLfZd++Z2xY8F4iqdyZPgmGzu++6raH0VFLtd8f3jQWB0cmMnjtg1dShrmeo7VRNunR2Q5v7CVet28wU1NKLUzOgi9VMoKMD18B6Lynn9l9Dwc1CDiii9Wx5g0E0pLMcm02eNtd4ef6F0zVFKeaTOV5AMk8yPD8pr/BztZIeQLJ3v8s0Fxjrud4kX6DwQ+oTIV/3/5vaKGhOX1thy12tobiEplIUcgCUzVFcud7szFtsRAFvkmf49vsBRZ6dveYBHYfmfBPsVDzB0lY/DqMJ+dgeou+HdCH9LqhG9A1Pdq6R9f06JoBfdujOzAX985jdbXB6u0WXdNjfj5B15x/+LM8/R7p6+LJtGdVeedhrYMxFkJwMAnwj6RHHMoQwDy4V5jrAoVMiP0QkMdD7bXkAgwcCVfEjpDZE+PpqW5V7NgWqUZn7NGLded9kFORj8SnAk+tHbAednjTrpByjVRQnLr1PujpDQqZIhcJFBf4qb7C33aXqE0Hxb7Hi/QEmdC4GSrc9BVa249gErGIDFrfj91/D4+zZIqFLvE8W4y+TwwM26EmA2tLn2tDN8t4i9YNaN0AgCEV1GUsVYpyII5PKVMCyGRyQMGVt0zLY3/aOAKeVsMOF0KiVCkukjletUushxo3/XaU1ykmoIXEqZ6gkCletzdY9Tu01mGmhkctWeDBE0dwjoXgYaFXYtvMsAkMhf/58yU4Z9h1PenRnT8eeAIttAl4avDz9RqppkXl+ewTzUz+yYpzDsViAl+BeZHixWKCTdNh23S4XFX4nz9fwjmPfrBAS35JFseCg3TN1W2Pq3WFv729gRQc0zvMlI0zI/B0aJJpvIUJ58RE5SSJF/ejY7e9wU1FpuI323qUEN6nEiVxMS/xX16c4V+en+LZrAzAU6T/f/2KwNNgHKw9PqXvuHIAesDtgunDKSCeE8tpLBEYT192nhEZt72xWG5r/O9X1/j//uUlLlcVNjWZ6A/Wwthf73+iJKZ5gvNpgX/75gz/5dtz/HixQKLE6BHnEYkMt39/ZKcfNBIP/aHe9X+K7Kr48wcdg/BdSo48U+Cc0v4SJaGVCMBTgl3TY1qmSJLPY6JxzpCEkIZMK7T9MKbhfqysc2gHEzzVzBPwdGRFT6ZmGFD1PbZ9h3XbkuwtyOtI1kXXfVJKTHSC76ZTvNxusO46XDU1EkHziEQI6CRBqQlwKpRCoTWsc1i1LSTnGKzFru/RW4d5miIP4NQsSUdPxS9bxH6Ii9zvshf4r9P/473pYPFaZGBQIfnr3X9PRRoi5y2uumusTI3BDZT6pueQTKG3PQZPnoaSi9Fb6LbRMxUHH7fxRC/wh/wH/Nfp//HeBXJcv3GwYEL+7jYG2e8orDvm/unf+f77qpiolgTz77meo7MdKrvDut+QbGxYBdBkhRM9h3EmgE2hiYwv4PvE7h+N8alHIGiZboUmHVMOJPvsXIfNsMFl+xY/Ny/xbyLDiT7BH4sfR/ac9Rav2zfQXOGmX90KHLirNFeYqxleZN/gul9i3a/xc/2SmFAiQRpUFnSdyGAGX2CqJmNK3btjIpiAYgqFLPA8fYb/MvlXPE+fvXdMCOdgUExChVCBz63H4fEURsX0Fk3VolrVlF5nXQCNwsu8hzOOGFG9gTW3//1Xb+uJzWSNhTFuZFZ5vzfoctbRvxkLnSrkRULdsPecCzFVy8H9SlNJN0UCmVQwUN4XAyQxSDjjSIV6FF3Zp3o8JQVHpiWmeYqmH7A9Mj43ynR2bR+6mMSCuK8EBthLQ2KiXnQOiaavAF0DcIFiGkAkG6jZg7ejEXGUG8TP5566UxYhye7gd3pnoIJpv2Bsvx3eUfKDIZ+onWlHFpSHD9psMdJ998lzMeUnMJuCVLC1PVqryLPJDujdAOPsuD3vfpmD1DvPOCTjSIVGJhJIJuihE7wDHnNKZZR8cAQ/nyCtyjTFijflgHagtDvnHC7XFS5XFUwwPr2PpGtbt7hcV5gHts6TlOPjtW9k0DUmhUAGBesc8kRjlqfItUIXjpEUHG9WFTy2qFr/K0bIh6oZDG52DV4ttzgp8zsZRzGtUTBO5uLejcAVgDGN8lOObD8YbJoOb9cVNk2HbjgeeBKcmC15qnFa5mQmvpiMnk5fW153WM5jBG/pOvq08frAJ4B8ngBgIAbU4TSdKeALec4d3uu6gYDEm12Nv14u8bfLG/z97QqrqkE7GLT9cHvie2ACfj4t8OJkiu/OZvjT81P84WKB78/mwXtJQP7GEfKfWsENDSIkywrOIEQw/w6yT0oiFUgT9Vkm5gCB1DHBtkg1dm1/NAgxBHb0tg0SyHek+U/z0ruLvI8cWmswOAcOhlSSLDSagJOvWXBgc2EO4egr/pkCT8ggnIOMyXNFHlGpkBjCv8XDcGjWb70b5XkK1CR/6KNF8z0Cc2KsPQusB801cpFjIicjE+LWBvi9GTLes3yPaW7WW6yHDQY3YBvSylbDBilPYL2FZgpCCKQ8HVPq9tvI9wbgPGwjGDGfwuJbBxncrQb/re3by4zcr9jqB545RxKejoc82Dgfo9/yY9z91wSuorSMew7FNApZIDUpBEg+OrgBa7bF4Mlba2drVGYXQEn1wUdNtOc4lHTZAxHne7cpAp9CQwXZ+OCHUWJpvIUM6dXRy6sLJtrGkzVGFrygPg6Y7Akl97kFRllqHxIaW0e+YwCQiwwnMRmPcQzOYDWswEEWPRwc/gMfxkA+0pprKCbHewALSo74c8lJGrfQc5SyuAX4eu+DZE6OEsW4PTEdcM/Keoct/p7r5XPrqwBPjDEIJaB8kLcJDqkEuqaHsx7NroNKJPJJijRPxrPAB9NkM1jsRP3RVDvv6LV9N6BtejRVh3pHiXiMMTBOD4kotZvMM6KC5vq9g9s7gzawP0SgoTHGxuQrAMF7hiYasThjUJzS8zhYYEA9PeCfal9SkCH0NE+xbToo0Rz1e857dINB1RIzoh0GAm6jx8Sxn8/EKDeL57ULZuGKC2hOt4sqJMNxMJwlMwzeIBEKVQSFvA0Jb/uFqwDIVJyLsXNoPHkxrYcdejcgCwbmqVBog++T5AKdNbjpK2Im9bvRd+oQComJkaTp7lHb9tZEnHyhGlQBwNqaBlvTBOaUh+a0yN8EptV2aOC8C4wv8rvhgYZ7v/7L4y5aKNHE4sXJFJwxzIoU//7yCvBA3Q0YrEVv3FGdceMcqrbHcltjtWvIL+oRA3KPvaKJcKoVZkWGH85pUT4rUvzHy6sAapBR8HCkUXA/WGzqDldqh03d/ipJjoEYgoVMR0+12nbovQmhADLEuPPR8+0+1VuLqu2wrGpUTXe0pDjKixIlMM0SzIJnzzRLkGr1G3T/71c+mDj3g6Fj8+AALAeYJJ8ntwR8DZrScfriU4CfAPzLAVAAGdf/fLXCf765xl/e3OCX63V4DhkY+2tfp0QJFIlGmSX4w8UC//rNGf70/BQXswKnk5z8uR6JXPLoCiwPIRgAsWdZBdsGITgSLUnyLMWtueGnlOAMqZaYZAmKVEMrcfR4DcahbgdI0dL9PTCk/9lCHu5bDuS7Ge9XpU4wTzNaRDsCpWieLyA5SUTXbQvAY912MM4hlTI0n2mkWfCDEiOrdP953gOSc+RKj+AUA8NVXaO3FrMkxSxJPqrQuG+xsFZJQYwKwTi8dyFBrkVlKqRCI+EJEpHeYmyQMbGD83aU3LEDxhADpRsXMoeDhQrzq9o22AwbXHfXyEUOB4dSlUgFGUm/CxrERbOHh+Y6LORtMFCusR22ZEDNUyTiNqPJeQcbfHUiE+W3rMOmDnl72eC9o79a85KaxzY0mMgSJia9zfQUmiswcEo7dP0IbOyCMXUu8g96WxGb6J19dgaWO/gPWFTwAK4UosBGbIlVb9uQoEiJcZLLsBYX6FyP7bDFalijtS0kl5iqKTKRfVDS9jlFvn4EPrlgLSKYgODi9vnlaYxb241Aa3rAWrqrnKfGdhuSIgtJnmS5yDFTU8zULACvdLxmaopC3FYY0PZIJFwj4+k4DsYNaG2HndmhMjtiUPHk1vXg4OHCeUHvw3+/jCfGGaTkYEwS6CQFrLGo1hLOOQKetERWpjh9Ph9/z0Ugqe4B76FT9cEHuPeAMSTp221arK63uLmqMPQGjNPFT40qumCcdUiz5L3mjx7A4A12htKvVGA2cTAyIXbDiOwmXOFweDnCAylMAB+LHOCpHk8pwZEnFPd8U9VHd3sJeLKwztOEv6eUlEO20TElGUcmNEqZjQ9n6x1SxscEt95ZbIcGJkwszhKiXJPZeDvK4RKhISM70DuAMySCvM2c96PJ9+AMVv0OV36DicwwVTkmKkdr+8BoEujcANMTWFyZFo3tIcBvLbJtALN6Z0bvpcMrbGda7EyLrWnAGcN2aLAZmmBsDiScjAg3Q41qaEfGVsIVhmBKKMKE8R/puhWCpCdaAi9OppgXGb47Jb33etfgzaoCBmJuHJPjYCwZjV9XNW527RPw9JnFgNGcXQmORAqcz0qclDkG43C12WFbdwCOT7XqjcG2oWjiTdOhM+8wjhiD5hKlTGGcDcxAkt4xmUCHLjhNdu5/NQyGUu2WVYNt26E/Us7JGBvTGid5gllOptGzPP0i8qnPrZhK2htiPFn3kB1tyrchQMkE4KkPPxcAE4C/CKynOb4c84k8w366XuN//PU1frpaYbmtsW06MhO/49pPJLF6Tyc5frxY4L99/wz//fsLYgdJCSX57w4ECdah4RkByJg9FHZivM8GgOhzQTVqGBBbtUwTJFIe3aUfjwsD6r4ng3HvCR74nY37b1neB2N2S553k+C51DuLVduO8jgtGBIpYZ3DumtR9R1MSLFLgywv8hI5wwhS8tEKZFySQHKBeZpikWaQnKM1Btd1jc4YCMZQan1Ph72PVzQXZpxS5sibxhPTxTXYmgqZSMEkgQI4XKh6B+sNjDMQ4T3etRQhQ25aGymm4GDRmAabYYtEJOgkNRYnskSpSuQih7wDeFKhuZlwtWeDuR61abAxWyD4UyUHkSaRXWRDkxJ8L737LYoxWgseSvjIPNvAiq9pTO7HpEAPD8WiUXwCzRUmsoTgAoPr0doOFhbMM+xMjVzkGOSHfRoPwTYAI9jmDoJL7irBBBKhR28wwFOSoWnQuY6YT86AcQUBoHc9tmaLq/4arWuhGJli518SeAoG6NbZMVBCMHHL/Dx6yzpv0doW22GL9bCGxwSSv3+7fJTxBa8tMhlfYKFmOE1OcaZP6DoLDyDJxJ37KZkA4wlSMYR/9yOgVZkdKrsDWLg2D+YKPiTcGW9IiMgk+AO4U381xhPjtPnjnyVHViSYzHMszieYLArMTktMFnv0zjtPaXadgUoUJvMC6iNaec4YuOBgnI2m5n1naAHJ9xxKBsAMJDN5/3Xgw83NoHE9OkfwkYcP0p0eLIBZJMO5+414kOy8ezN9qn/u0lKgSBOcTHJcbXZH0/HjhMiDmE91N6BqO+y6IUzmxS2/sfd+vlCYyAxDYsPNhiakhUyRywQpJyZSZ0meNnoyhYd+BGtiHcrpIoMil0mgrFv03qCzZBTe2QGp0NCC2FW5TA4AXIyeUBwMKVcQjKOUKVSgWecywYkuMXiLicpCzOp+/FKhMVMFniVzFDJFKTPokEADAJrJIC+MJHGM9wbjaCwYWPhM+r1MaMxVAeMtcpk8KpnPscVJcwyAZHdaCqRa4tmsxDeLKa42NZbbGjeuOYqZ4pwj9l3DsGt79IPdR6mHemT4wKOufSLW3rsm1RKDsXi+oGPU9AOWVROS6z5+jIx1o9Fz0w0YjLt9fBB9M8QIFlvvkDui1CdCIRMxNeX+k3YTzpHRY+bYZFrOkCiBMtWYZinyYBStvoBR9EOUdQ5tb1C1PZp+GL2xHqYYsZ2YBrwE0AapHQCWgICmL3ehWUfPmn4wuNrscLmq8Gq5wdv1DnXXjyyau6pINZ7NS/xwPsd3p3M8m5dYFNl4rv+umE749fayw4dH/Nn+Hx6kBKcm1bzIMM0TpPp4o2nrPbyla7Dp6Pys2g5aUrrpQzNo/lFKcjICP8tzOO8xT1LM0xS9tdBBVikZRybJ0D72tA9lKofFOcNEJ8ilguZiBJ8EYyiUwkmWIVcK8zTFPM3AGcOu74O/F7FOv8SVEo21935MZCTdOfLnXPY3MN4gFxlykQcWC0Bpkzx4y5DEibH09kKYIfw7oLxCKhJkIkMiNAY/YNWv0Lt+BJ0WeoFC5r9iWTBglNdlIsdCz/E8vUAhcvSux2V7icrswjZmBysxP/pECUZmzJn4LddiDAnXmKgJZmYHAFgPG3h4bM0Wa1EEaZgO6XsqeOuoL+oJbL1FZXbYmi0624+NJTLbptqaLWpbw8GCg4C/TNKx+xB4wljc5xIzNQcDw9Zs8aoFNmKLciiQiSx4gsV9JgllBEHBSbZGht0LpCJBYxu8bF8H2wuSmq2GNW76FYE6HihliZmaYa5nH2QWfU7xIGPTQiMJTMBUJOjdgGW/xE/1L4iCtd722AwbWG8gmQzX2fuLLEOCJUkABY23+3MiXGvxLqND4l88f2gdtE+30+E4nOlTeE/XwsZswBtO14rMoUJ6IQJ7K8ryEp4ASCGExOfOLb6axxMBTuT5wpmH9wzFLIf3HkmeIM008kmGvEzHffTOY35GKXbFLMPsrESSvh94YpxBKoHEa6TpAJ0oKCXhrB+ldmN5gIvQNf3AmEa/F+NskNeZvXeMG0ZEl4Ojd3d7V2gukckEXDwEdvhU/yilJVHnz6Y5Xi0TaHX8w9B7D+eIRr/reqyqFuuixSTTFDl9xDMr4QozXUAH9k8EYjSX0CEqN/d29ETaS20w+kIdrmBd6KK4oDHWQo1yvdFDKUjuBmeRBDPzRCjkIhkBH/KVpRurCbRPzhhmKkciJDg4FppSJa13AVhKIfl+/FigwM9UgURIlDJDKbPQUSBmRwS3ogfcuB/hmmeMgKdEkF58onIA5A8wkRnUF+qo/FbFQwtWC4FZkeHFyRTbpoPgDM1AniAfK0pjNIAH2p5kek+Ep4cpBlqsACS9O50U+OF8Po5x1XTojgAHI/DjPd5rLhwldJIJzHWJicpg/XiFhMhe+UmTYedIgtYFCdoxqXwAgaSJonskyeu+bKrT55axDnU/YL1rCYQ1D3ktMACSQCaWAn4AWAdAhDS7AuATAAm+BABlrMW26bDaNXiz2uJqu8O6bkfQ6UOSkUme4NvTGf7b9xf4NqQRso/Mu57qdknBUSQaizLDPM/uJzWNvozOoe0HbOoWN9sGZZaApwnUE/B0ZyVC4CwrRqAlkxKZVDDeYZqkODdDCPEQUKEJdQt4euf4cMaQhvfQMi70CeCapSklYTuHTEqkQWaXSYWppXCXQusv1uyK3kapSHCmT/HH4g/YmG0wBL/Cdb8kbxm2l3h6EDhQyhKlLGDVFIKRR9NdxQ+Ara2aoXc91maD1rXj+yzUPIBb7wJPLIwhRxlMkm2Q2hlv8HPzcgQjCBTZu06VskApS0xkCcCT780XlCK/u8+5zHGqT2gN6QdcdVd4271FKlKkPEUhyUNrqsowliVKxr8o8GS8xXpY41XzGuthA4fYRPbjuTC4AbVpUNsGE1UiEylO9QIzRaDOh7iSmaB9Hhz5ql53S7ztrpDyFKlIyDdMTTCVE0xUiUIWKFkBxQhwk5DIZY7z5BSd7dC5Ho1p8OfqLyElm4c0xAGd69G7HjM1G+VoJ3qOVNx9Hn5u0TmegDOOQhQoRI5MZGhsg5+bX7AeNuN8ynuPyu7AGMdETZBwPbL/7i4//te5HpUhW5KlWOKye4tC0BokuPKG82aCqZxiokpM1QRSyBFAUlxioRf4vvgeucxhvcOqX2PVb8hCge3nVKQE0eP1PFXTQAZIgM88F78i8IRA62XUnPNAOc2Q5hqL8ymBMlJAyL2nigfRg1Wq0DU9imkGnb0/wpEzAp445+gzTcCTlrDW3TZ3C5MkwT/uKxBj5gdng28M+V+QaXE/yg8kEzD+7kVALugkTbl6mmw91VhaCgKeJgUlNMnjL09K/iEj27rtsdo1WNcNpODIk+NiTtMADE1Vvk9/C6h4NAbc28xRxdP3rmXG4XvE9Ib48Izv4t59Tbh+xs8ZE/B+/SmRcQUwLHSJqcwRDcffNcmL7KTRmO+dbYnjF/8eH6KM3cLSxihkBoaJzFDIdDTv+72nVEa/CUiGeQCeemPR9gZvN7uj3sM5H6RFDk1vApvmCXl6qCIGL0OmJU4nOb4/m6MbCAR4dbM96j2IrWIxGBd8eO5mHDFGz7GJzJAKWuS0pkdjewAEVH9Kzz2mcHaDgTEEYh9TnDGkAXia5AmyYOL8WMtYh6YbsK4bVAF4erjiABSAlIAn1oW/qwA6zQE2Ceynhx+jwTps6hZvVhVe32xxvakD8DSMrNH31TRL8d3ZDP/1uwtMszQATw++if/QJTlHniqclDlmRYrsHsBTfNZZ59H0AzZ1h5uqITmLksgeXLz1j1GJlDjLcyyyFN7vA1dikMmhtQHDQc6Z93vW6jvvGd/jUFrKOcM8zTDRCfzBa+J77X1kvpy8OJoIJzzFWXIGLTTedld42bzGm/aSmC/ew4+BCXTNn+gFLtJzXCTnEEwg+8Bin9ZACQFPeou33RXW/QaCCXyTPsdElljoOTKR3ukrE7cxpnPlIsOr9g1eNq/wsnkN6y0J68b5B81lL5JzXKTncMk5+eXIHATQf/lijCEXOU6TUzjv8bJ9Rcl+wzqYRCuUssBFcobz9Bznem+Qrb7gdWmcwXpY45fmJd60lyN4E5u8h8wXwQQKmSMVKU71CQpZIOHv90VmYMFk+wTOO7xsXuO6X2LZLyEDQ6eQOc6TM1wk5zD+NDDZUgKeAqunEDnO9RkEBC67t3jdXuJ1ewnjh3GdQP6TKgAscyz0HN9l3wY/suPWQfctwQS44NDQKGSOXObIRYbGNNgOWxhvRwaZZDJ4KaWYysm45nlfxVOXvK06bMwGm4HmeTIAv9FjynlPY5ie41l6AQeHhCej5xMDg2IKJ3oeFCPFeK2shjV8DIQ6WHGVqqTrJbkgBiRP4OXnz+e/CvAUJW92sOONlXE+JtBZY6G0hJB0QA8BIp1qwANKSySZhpQfOGigAzemMvn9AlcIkvcJKSAVfU3mOZJMfWCaRqZ7mdCYqDQkbhHbyXqHLng87Q5iqN9XmdBfUc/7VI+xlCQZifce0zxBphWU4GPC2zHr98GQcfDr1RZlqqGlxCxPcUx6Mw/+FNH/4V2K+H0lEIdAzvve567X3P3vCP+OO99DsX0C0l2vEUeAQoefddd7vFv/aFLZuK+ceaQhXfGkzFGk+uguuAcA52EZddTjAzGeU+EM+EJ78I9dh+eiFHupzTwsPI8FYWLzxDM2puG5INV1oLSZamiw7LeobYdSpihkBsUFGtOT1xPIaDIVtw1R33e93EqbdBQ3bgLb6VhckjFACIFESZKaPEID6sOx6KOX1bbBtqb0vod74nsAhuR1vg9/F6ET6ehnrKfXHEwkqT5/zMjLrcf1dodl1aBquw/K66jPSPf2aIp9UuZIFMm7HttxfOwlOEeuFUyRYp6nKBIFrSREAP6O8dXz3qPuelxtdni53IBzhjL9bRbgv8ci0F9AHcmOue984rAkY5BfSbp/6znDBDKRhaAZT8xw7wPwdJhsSv+fqikWao6JnATg4PYS8xCcYOAoZIGz5JQYZCJHKUtwcDxLLzBVkxF8+LWcdf93xSQKmYMzMr+2oeFPVhHBYzRsH2ccJ3qBuZoFwCQZJXsi+EZFZk1bfD++PiaqxSKpmUYmUszVDIMbwCFwkZyjkMUHQZhEJJjKCXxCz1oAKGUR/IAIrFvoBSayRCoy2n982XNBMI5c5DjRC5KEOUqO26e3E8AS09NOk1PM9SwYuOsPGk6P+6wmiMbigEcuspCkJpCKBCdhnzNBVhkct5/vBFARiHKYmzh4sg3w3u/liVzhLDnDTM2Qy3z0WzosDgKzTpPTEQxKRYJSlkh5Cn7k/P4wYKWQBc6TM/JlCuDd4Hrw4PUkR3lnBs01ogQ7C0mMksvReH3wA3Z2h9a2JK/jCgs1x1ROANxu0kcvXcUVSRCbV5BMjuDW4T4nPMVUhrFzBs57ZIJ8fd9NV8wlnRNTNSEZHlcfZLYdW18FeLLGot31aHctTZekgJQCxlgM3YChM8jKFAUAldzeRCk5kCpIJSAUAVPvLe9hrYMZDMxgYQYLG6JjueBQWiLNE+RlgrxMkRUJ0jx578OBAUiEwgTZKONxoDStxvbhxmxCqlb33m6EZByD/zAd/an++UpLSvuRnGOSpcjDZNJYR+a0R5wvxjqs6wavlhsUISHPLCaftD0PZTN6zPt87DXHbMlDLV2elkBsNLqfBP8QeY8UJg+ABbBpBDY8+XM9De7DVJSdlZlGmWkk6n6ys8gmjKCT8x4Gdmyg3AwVXrc3WPUVSkWyVMUlusDs1VxBcoFSZTiWwB6ZMM67YFZ/AEoeUQwMgrPRaJ0fRI4/tvI+mKg3Ha6DDK0dDI5G2T5aNoBOFSjNzgAQgGcAesBvAKYAPwHggAdO47TOYRcM4m+qj6dXMhZS3jidt5lWyBMVZOC/b6bo1yghGDJNC/JpkaJIE6RKQktOCYr2OOCpantcriuUqUaeKJxPi4/+3lPdrx7pLeqoYiE9jjMGpmnxP1cz9D4yG2+D2ilPkUnyVUpFiuQDvjqckeyNgRbsF8k5aluDgeE0OcFMzaC4hghG/e8rwQQSnoBDAAltw6k+CVYRtw27iUmTIZcZMkFfBOxQ8pfmDBM5wbfZixFAOtUnv9qPCJaQwkUgkxlOk1OUssBMTT8MPHENqBKSE/vlRC/QhvUiAyPvJLEfw1SkRzVOP6ckVzjRC3AmcJ6ev5NwFxqSgXkU2UdTNR2Bu4+x/TXXKGVBjB+usdALNLYZvcQkl8hFPCZxn28DPzTmKbGuuEQuC5wlZ3ABaIxhRPFrIktM1ASKyeBVxX71flM1BWMMve1HUE1zHVLw7t9YLmUZ2Hc5mex78suN+xnBJ/WOB20E1XRIeWxsg52tsR42qG2DwQ3Igix1pqZk/h+a9NEKxMHhulviur/GL81LTGSJZ+n5re1jgTzDkAYmJcdUTig1L6pPDq6XmKAXz8VMZA+i7PhKwJNDW3fYrmpCKYMEbugN+qZH1/Th5xL5O78rRvPDvfb0feUD8DQMFsNgiE1lyUiVcwapJfIywfy0xPy0hFTiluH4XZVwCc0FMqFDCoBFY3vIEMPeOzJMbt5J1ToszeXoKfNUTxVLCQGR0oJ/miXIEx3kdgbOORxzxgzWYrVr8XK5RZEmeL6YHG3e+1RPBYDkzDE9LEsCm+Z+D5so5xgfikFu8JSZ9DAVgaci1SjSBIkSwf/p+Hr3GBlvMXhKr7vpCXi6bFeYBOBJczk+3wqZoJQZzhJ7q6P/wc/Cnn0cwaf7JB4yBojgoSIlmfE+xvMp7hIxnjpcb2ts6vaBGU8OZCheAX4HmsqRlwmZjDeASwHehde+yxn9vDLWoe4G3FQNVrsGTW/gPuDVRSxzOnZaCqRKItcaH5nCPdV7SnIOrhUSRYzmMtVItYQSAs6D5rkfeQ/vQcDTqoIOaZntcLcv6VP9cxYHI6NiqODHNINLo9ffryumesdF8YfuzxwcpaTUurMgF4rvGsEMfgTTJ75WBwbSaZB0AXdbQIzbBxbM0GkbZUgiU5wYVM/TZ7fe/67PTDj5E53iZPQ9PQaE0VyjEAVO9OLWfscZUtwudrCtX7IUkzhJTjDTc/hbY3f7uTHKQRkHw96C42OVcAomKUSBhZ6/Z5/ZyHK6a58j8JQEVtJZcnYg9TzcSvpTBFbedw4R8DRBGby+4pYcc+6+r0pZIBcZLtLzMA/wv5ofEZB3+93jZ3JwtK5DYxushzXWwwaNbWC8wUzO8CL7Bn/IfzwwSmcj6OS8w/+z+Z+47C7xsnmJZ8k5Wtv+ahsVU5BChnGcwKfuvfL4L3UufhXgyXsPZx2G3sD0Bm1NnhF9O6Brekqu6w0ABvmexBrGGKQWkEpCvs+EOWigOd8jg9Y4WONgjA0pdh5gLPhJfQThZPsTU3IgEwnmKr/lUdPZAQtdYqEnyN+jKS1VhkzoR22M+lS/fcWFlfcMeapxMsnwfDHBum6w3rUYgrfKh+pQAjFfp7je1lhWNZTkUFJCi48vUB9K9nDM+3zsNQ/xHsfWk9zjdkVp8iH19piKABMPDAeaAHy57fxnrAga7b/u9/v7Y7R/PgpweIgxgXIWPNEmMkOpMiRcjYb/qVCYKJLfHfV52EtOouSKMUbMuPvsM25L5x9bDZYMm9ve4Hpbj8biH/LS+rTiADTAcpDkzgCIk0ya2AYjzXe+Hqain2DbD2gHg8G+X2YXfoMklowkln3w+BI82B483XvvXZwzME++TLM8xbP5JDCe248avAO0JGr7AatdA60ErjYkm1zvGigpoOX9mK5Pdbv+EeYTcR/iYvNDkqpPee/IAnmI9wHwIGwMgV/Lsh7qM2//Hn3aYyh6/n98vz/1vQGMRBHxift8Cwx6gEtrv8+f+T6HcNdHPJuOK5LODc7AODOCqIJxKKZIFnjgnTYEWSQx1N514X1nW391PX/mpn5ifR1z8QA8OePQNT36dkDfDejqHm3To6t7mMESuCQ57uLTc86QlSmykr0XeGIAWJjYcM4Aj1FyJyQHFwJDb+DsYUfwuOJgI3ikuIRiAplIMDiDmc4xUwXS9wBPCZfIgsH4Uz3Vu8UYkCcKZ5MC355OIThDN5BfyMfKOupEO+dxtdnharPD9bYe06Bkuu/wPNVTva9u+fDcA9hg2JuhSk7gEw8x0Y9WF/U7LecpHc6MkrXjfo8AbnomiiB1EpyDeUCAfj5XBYbUIJcJAU8yQyrUaD4pmcAkgFHHHtVooMsDGCk4gwcjY9Bjtj34NVrn9jK9R8Yb7o3Bum5xUzW4XFdY1S3qfkBv7J3pgZ9eAmAZwKeAsySt8w39U0y6g6TXPTDoBOzPvd5YDMbCfkTa5TzAnIeBQz8YtP2AXdeTXxfwJLf7xGIMSJTEvMzwzWJCwQ7OYVt3H2UTeg9iONXkR3q12eF6s8NyWlDCHWNPwNNTPdVTPdVvWBQg4GC9hfN2DDt6H9sopjk2tsXgBgCMJKqcJIaPsb4S4yksbIxFW/eo1jWqVY227tDWxHhyzkFIAZ2oO9crXHCAATqRAN7jVs9okhuBJx8+0wwGQ88hBCfWU5Df3adYAJ5SoVHKFLlIMFU5jLOYqAwTmSER73N0fowCgad6TJUnCqfTHN+dztANBjdVc9TvWedRtz2arkeR6hF8KlJ9r4S7p/rnLhdSj4x1owfQUcUQQAW6vwpO6Tv/CN3fx1TeY/RJstYFmdORXkmBBSwOvggspAaOhMBcl+CMY+4KlAF4yoTeT33Y+6ZBH/jc8HvEQuYjQOn8+4Qb7+xzZM24vUzvsZGeBmOxrlu8vtni7brCatei6YYHTrQDwDgBT2wGMhHf7oEnSIAJgEkQM+rhJ5/eE7u2G+wIqn2IYeO9h/UezjP0xqLpDerQSPlaJsr/KJUoiXmR4sXJFE0/YNu0ZBlxBM7Z9obSJa3D1XaHq+0Oy6oGYwyZ+mqh10/1VE/1VP+0RRYIZI5PuTwM0WD+3TmX9Rad7VGbGn0wWldckRz0kSINX+XJIiRHViSwp2Xg4O8BIXiPviP5XbvrUG+bOzvlQnCkRfJB/xrvyU9q6C3MQCZpKlHkMWE9savaAebISeGtafYB48/5faRq7wyu+y2WfTXKC94tSsXLMA1u+0/1VMBtanaRaFzMSvSGotIv1xUE53tpzQfeJ6Y5Nt2A1zdb/PvLtxisgzEOqVLwiRqNXp8Agaf6VXmPbjDY1C2utzWqtsdgj7tHUpdcIFHiVvLY03n2sGW9Q9MPWO1arHYN6n6A/YDHzmEJxqClCF+S2E4Hx4cFI3gRopNjFDAHgw00cDgPycPPj+iq3UpWYWRenygJZgwGHG+G3BmDqu1RtZQSdx+PqC9VkYXlnMe67vD6Zov/fH2Nn6/XWO+ao4/L/Sqk2uEwuU6C0AZLIJRvD/7tYa8/xihZMVF0Hr17Dr1vi+E9llWDP7++RqokTiY5TsoM8zKDlhKJEuR1GNh4nEfPDdzah3/228nhWCdK4KTM8f3ZDLuQUqelGMHAj10i3pM35PWmxp9fL8EZxx8uDJn4SzEyI5+sIZ7qqZ7qqb5s8eBlNVOzEPZCwWWVqfCqfQ3jDRTfk1o616G1HVrborUdJrLEH4sfcZGcI5fvumQ/jvoqwJNUAvkkhQyGqN57GGPRNT3AANMb9G2Ppu5Qb9s7ZxlScvRt/mHgydH79t1A0j1ODClrKOmu7+gzzfB5CXPRao/c6DtUpkVlGnRuuPOhf6In+C4/RS4SyEei8X2qx1VFSsCT4AyXqwplmkAJHrr9OOp8bfoBr1fbIIvwSKTA6TSHFBxaApyLR4qHP9XXLA+SYKzrFtfbHaqmw2COkwlxxqAkR6oVEi0hhfinXyR+iXLOoe56LKsaN1WDuuuPlnIJzqGlQJYoJErcKXMio8vbXx6AcQadM/DeI4FCwtW9/bs451BCIFFyZNYdU8579EFyXDUBePoioM79yrm97Gxdt3i13OA/X1/jl+sN1nU7ejQ8aHlPvk6+A0KXk6Zz0e+pJuBp/LeHLR5M3hMlkagAMB+z2QCW2xr/8eoKVdvjxckUL06meL6YYJIlmGQJilSPwKiEAGcI5qZfZFd+95UEAI9zhnXd4eerNbQUJIF07qg0XOs8rrc1xOslemPBOcM0TzHJEmgZOudfyxDkqZ7qqZ7qn6QEE8hFBg4G4y22wxYeDpthi871uOquQ8oheWY5b2EcpedlIsNUTfBN+gwX6Tly8QQ8jSWkQFYKZGUKxhmBQ+2A3aYB5wzGGDIar3s0u+7O95BKYOiiP9Pd5YOZeN8ZGEOeUUmqYAaLoTfo2oEYT8P9pXbvfBJsSAWqbY/Lbo3XzQ22pr7lbB/ru+wUhUzwTXbyOR/6VP/AVSQ0+S5Tjb9e3mCSJVBSAIZuNMeoapre4PXNFjdVA++B00mOHy9OkGk1sg5uJUI8wpn9fQHh32of3rddx3ALHuM4A/t98p4kGOtdi6vNDtumw3AkKzQuSFMtkapoTvt19veuY/SPcHwAwFiPuh1ws22wrGrU3T0YT5xDS4k80YHxxO4cKwbsg6zJIhGDs2hNBwc/+hse/u4xYxe9YxIlyKPqSDadc0A3GFRNj23To+3NryReX+P6995jMJbA2l2Dl4HxdLWpvyA4dsh4CuAS0yFSLwJSh4ynu7N/PrVYOIapkreYjcfUsqqx63r8fLXGH5+fEHvNWJxOcgyGTMozrcYxFpzDM46IjwaS/MPUezb593SP0FLipMwwyTSW2xqzIkUiJVpOAPExabjWOiwDu3XbdJjlKb49meFiVgKgY8C/wnV237rPfOGx7sNTPdVT/fOWZAKZyJCIBIMf8FYk8CDG07JfondD8H0CWVuEWRpjDD/k3+O5fIYfi++Rixy5zL727txZX13ErRKJcprDO4zpckmeoJzlmJ9NMDub3OkkwQXH9LSETt/noxRc6yWH0hJZrsEYfV6WJ2gmBGrNTgpkZXLvKOrDct6jth2W/RbrYYeES3yXn8LjBHf5OZ3oCU70JKCWT/VUvy4WfHKUjDT6OVa7Bsuw0Nw2dwOyh+WDASyDxbKq8Z+vryEFx7enMzybl3g2K5FpFRJsHi/zbgiL095Y1N2AphswWDt22xMpkIxAx2+3HzFZrBvMKHky1iFPFPKE4q0TSdv1OfeX36oG6zAYi6Yf8HZT4ZflGj9drbGsarTDccwJKQTKLMHZpMCizJBrBfEV990H/6Cq6bHaNbjZNdBSIE8UMq1p4ayIufHYy3ugt2TmfFPVeLPe4ufrNV4tt1jv2qMBnEQJTPME57OCFqlh322I5e2dwU1f4brboDJN8HhKobhEYzs0todgHM57aE4R7vepCKgvyhwMDYwjz5+PlfMO7WAgmg6rusG6brGuW0zzlO5h9wA/Prc8aLFuncemafFmtcWbVYX/fH2Nl8sNdm1PIIr7eKz9JxUTACsBbgFkAO8C2LQDXAX4LYAEX2qKpwTHJEtwMSuxqVtsmvboe5xzfpTuXm9qCM5RdwPKLMEk1SPjSUmS3fHDFMT4Jvc8zPHl8X3oPaPRPaXqSUlMPCV4+Hy6N2RaIdUSWsp9SvL9Pv6LFmfEIpQAplmCbxZT/NuLM7xebbHc1lhu64+egx4UTDIYi11LoOD/SF5h23Q0V5iXmMXrTIpHm0Jow7k1GIu2N6j7HnU3IJESOtzn0zhv+B3c85/qqZ7qn68444AHMpHhIjmD9w67tIZxBmY0HAcivhAT/071Kc6TU+Qih+b6i6QUPkR99Tuv0grFLIdKFVQikWYaxSxDMckwWRSYnpR3PuQZZ0iyBEn6frNkxshYXGtJoJOWyMsU/WRA2wzomh5ZmSAvEjJj/MRy3qExHW76Cuuhxqme4DSZIBeUDPKuDWsaPJ6e/J2e6n3FGQPjHF4KLMoM35/N0PQD/iZu0A7D0cBTZATcbGv8+fU1tk2H622Nf/vmDFIIzAuPAhpKPk7ZnQdGMGTX9mR+uq3RdAMmeYpplmCap5jmKSTnvy3wFGLdm87g1XKDv17eoDMGZ5MCp9MciyKjRbHgYOzxS84GY7HremzqDm/XO7xcbvDT1QpViIM/pqTgKFNN+1/myBP11bxBou+e8x7rusXf3t7gr5c3KBLavrNJEc6dBFrKR398XAA567bHsmrwZlXh5+sVXi43wYfrOEmXVhLTPMXFjBaTh8DT4A0a2+Omr/C6XWLZVyPwpLlE5wa0tkfCNRSXmKocqbgfDqAkR5FqLMoMg7Gou4+ndR7uv3Me6wD0rnctFkWHPNWQXH0BG+27y3sP4xz6weKmavC3yxX+/eVb/P3tCq+WG+wCOP7lpIASYAUZiLMZiOVkAb8GcBVi5BICqL7EpwuBSUbg5WrX4E3wIDymrPeAIU+s622Nth/wdl1BSxkAHz56EHLGR3+nd2ye7lXRJ2oMPgihM1Lw8blBYDQxAYtUo0g0JlmCRZlhUWZgKQvMrruTlr9WUZOKFiuTPMU3iyn+9ZuWwnOsC4zn4+R2HhZV2+GnqxU6Y7CsaK4QP6dINSTneKxhd8Y5tL1B0w9Ybmtcb2tcb3co0wTTPME0o7nCrGBPwNNTPdVTPcpioGdfJjKcJ2fIRY7BDzSfhbtF3T8EoDKRIRMZcpFBcPEEPB3WYVdSaQmlJQpkSFKNNE9QzHKkuUY+yZBPUuowMUbg0DuM8Q91OBkjZpRQHFwoIEw+jLHo2gF9a6C0RJIpMMY+mbLv4NHYHut+h8q0eJ7O8Syd4zyZhW4ax7s9ssczbXmqx1jUPSYN76LM8N3ZHNZ7tIPB1XYHzhg8PmwcSl1MotqvdhTr/epmi7obIDnHNE8iJQQqdDFZ6ATvDV339Tlsgtvb6W/9PApRxz/7PZvIeY9d22PTdFjvGvyy3ODlco2q6XE+K3A+LWCdhwqAx29ZPsS7Ry+t//XyLequx7cnM7QhKch5Sm1KlN/fxw7Gd58Qtq8vzdq4LRNCOI886n4gX6dNjTerCi+XW7xcbihJ7EifGgKeiPF0UmbIE/312F5+Dw5uG/I++b///hrTPMW37QyDsRisBQMCmwEjGwK3jtHDXgsf3ex3LuqY3tYHNsJq1+DteofXNxV+ud7gzaqC8+5oqV2iJGZFiovAYkjDAszBY3AWnR2wNTWuuy0uuxV2ssVOZUi4RO8MemtQyBQnZgLzCf5FSggUqcZJmaHueqx2x02O4hj0xgbgqcWyaggUYAyJlODcj9fSQxyjd49FvF4iGF53A642O/z18gb/99/f4NXNBlVDqaJfxlQ8lqBUO6ThJhI+yyXB+2lH0rvRQ/JhDcZlYDydzwrc7BpMroIXUJhHfTD8wnsY7wEH9KbBandcYuvnFANG5pSSggCnYJ4dTfYnGQFN0yzBrMgwz1OcTHL0xo4jt/e08nsm1uHnfAVAijE2MpDKLMHzxYTYS9bRM1NwDNZ+VJ7oPIXu7NyAl8sNrrc1rjY1AIwsNOf9mEJ4+CwD+/XZ9alj8d65Qvjfft7j4/QFCOdc3fXY1h22TYdXN1u8XK7xcrnB6STH2bTAMHXgnCFL3q+UeKqneqqnAn59L4rrklh3zd/v9f4H7zcCSCOgxJCKFKlIcZqcfuInPM56XJA/239tVzVuLjcwg0UxzUYWlLMO1nrAeySZhs4U9HseIs55DD0l5JnBIj7Eht6ia3t0zYCsSCAVR5YnuLdL6kFJxqGFgnIDrHfYmRaaK0jGIZm49RAWjENxST//5E98qn+GYowhTzTOpgWc81hVDZbbHXZtj6Yf0HTmqMQxdyC7u97u8L9fX6O3FufTAqeTHCdlPhq7lil5v+iQWHTXwvtzKkaiG+cwGIchyOi6wdz6ageDtjeo2g7bpse2aXFTNbipGjhPE/880ZhbS93ar5Fw5anLumt7XG+ou1q3tBidFxlmRYp5niFPFTJNHfVUqVEaeEj75wFc/9L3hAiYRVAvfr1Zk1zozWqL/3y9xE1VUwLoOLv/cDHsQY3niwnOZyXKVIM/grj0bjDYNC0u1zvcVA02dYc3N1vMigyzPMWsSMfjk2lFkox4rIJEQ0uxB6a+cMXjYyydW1XbY71rcRmO0c/Xa/x0tcKu7Udg6mMVJ0mZVjgpc7w4meFkkiHV9PwUjENzCSc05qrERdpBC4lSZpjIDIlQMM7BeouEK5wkEyT8/lOIRElMM2JcbZsOb9Xu3u/RDeRf9//7+RLdYPD92QyAxyQjhqF8YAanB2AsSX3rjgDaq80OV5sdfr5e4y9vlqPXVm8+vsj//DLBPLwB0AewKQBOfgNKtwMORGYP+ulSEGvN+RzPZiW+WUzw7ekMUpBsLp6Xj6VGl6twTXn40djeGIdeWBhLYOK26XBTNcgTehb+dLXGvEgxC8zaaU4s23jfIMDzt7kvfKxSRX5PAElAl9saV5sdqjBfaI+QtCIwpSlRt8Xf367AGHC5rnBS5jid5JjmKcowV0i1IvBOBQneZyzE7tiUEKjiRik4gc9xnkDeanG+sAvBA9u2w6oiafVNRRL4RErMi+xXvnBP9VRP9VQfq8E6dD3dZ7z3o1yb7n1ytCuJzSla59C6JDJs4zMi3tfiGsc6RzJvyaEEJzYuf/wqiU+txwU8hWIAqtUO16/XuH69wvmLBS6+O4F/sYDpLYbBwFuPyaIAF+zDwFNn0Ow69N0AH06Cvjfo6h5t08NahzTX8M5/clOQgUFwQX4XXI7AE2ccikmoEDsdS4XJuviKxrtP9fsoBuo2xiSq6+0Obzc7rHctboKn0DHAU5TdOe9xvanRG4vL1RanU2INnU9LXMxLXMzoq0w1Sk+0esYeNlXIej8yF5puwK4jH4ZN02Jbd9g0LTZNh01Nf6/CwnvX9eh6mmRqRdKI02kO4xyc/0JeKu+p2KmIXi9V2+N6u8Mv12tcbWqkAcCIko1pnmJepOMCZhYXMlmKSZ6Q/ENwCI8vLuPwCMCfdQTGrCq8Xe/w09UKf79a4eerNfkhVQ3JYj7CYABiCho9hGd5imfzCc6nBZ27X01qt+9Q9cZiU3e4XFcw1uHNqkKi5Hh8ilSH45PdPj5xoZmlxF7lJPP+0rsUQaduILnL5WqH16stfnq7wk9XK7xeUWjAruvp3D8GeAoMjVwrnJQZvj2ZYlHmyA6AJ8YlGBjmuoD1DqVKR+ApFXo85wXjyEUCLdS9n2CJkpgFqd/bze6TJC/tYMbEzqYfAHiUqSaprZb0bH2ggxTPocE6bOoW19sar2+2+NvbG/ztcoU3qy2WVYObqkYTJpFfHnSxgK8At6Lv0UzcD/RvsPhSoBNALM4i0VBCoJoP+GYxxdv1Dt57vN3s0PQDnH1ci3vniQ3nnYPzDJa5A78nhqYfDqR3JL/TUlBzQEtMswRngWX7zWKK789mlLzHOQAO/ghS3xJF0vwsUdg0Ha42O1yuK8gtHZtjgKfIlPaw2DYdfnp7g9Wuwd/frsa5wvmswMUsej9lKDNitrKQbvhQzC8Xrrve0AKt7nrs2iE0o8Jcoaa5wqZu93OFtkfbDyMopYTAvMgwhCbVYwJFn+qpnurxlzGUqLupWzgXwCTOkKcaJWjuSw2OfdNwsBbWumDlwMAFGxu/sam43rUYjKXGZyIpEVpJcEW24f+I9aiAJ+88nHEYeotqXePq5Q1++fMbeOehU4VskqJvBnTNAGcdhORIi+S9EjnvPSXmdQPaug9sKXcr0U4nCtbYz+qAMMYgmYDm6gB46uA9gUyay1vAUyo0BONIuHrCnZ7qg8UCQyGyMS5Pprja7LCpW4BR+lg3GDj/4USXOJkE/GjKC5CMjyRrJb7bzSiW3TrMihTdkGKwdg+KHEiQ9hsYUobih9z6zD1TZgRqPNAZQ52DfsA2pOhs6g43uzowmsgQdRnYTXUApg59hqZZgufzydgtcF+L8QTqXDT9EBgpe/aG5Bw6mFfPiwxn0wJnkxyn0xynk8g069EO+SgXjAuecfLOIgn0HTnDR7rKh/KDQ3kCyYSomz1YS+yZqzV+vl7jr2+W+OvlDX66WgV53XFjyhiDCos1AnDonDqZEKjxtY3Vo0/Yru0JrGn3nkKxW5UoifMgxzgLx+dkQt39psvRDxbT3I4SHREA2T0b8EA6Cfr7XfKTw22K/6NrI/w5TEp6Y0fPrVdLMhH/6e0Kf728wV8vl7ja1HA+nPdHjIHgDJKTxKjMEpxMcjxbTFAkGomiSZEAg2CcvGJkBg+gsAlymaIQCRKhwcNrosQopqncp7QUo8fUL9ebMWXzY9Lhw+qNCUyODoO1o3SPc4ZJlsA5T6wnxkhCiTvuXbfqQLZzcBwiYG8dsQMv1xVe3Wzx97cr/O+XV/iPV9dYbmsyNH5HzsQYAXScs4P7X/icI8DcD5a3xHZyK8CvAFcDvgbgAaYAqPAaA/g+nGUEkBzeQz61hODIBEeWKJz1OZ4vJrjZNSTtDgzQth8e3SJ/lDZ4j+Os+GmYGGMoU43niwm+WUywa3swBkrfA5ApWjDE+wL93m9/3yOfLIkpgFXV4O3JFNfbGowBg3HYNt1R51+U3RnrUHcDXq8q5Ika5wrfLKbkK2cs2qlBO6QYjCXWEw/3R+AOGfkH5grh54dzBfJsGtD1BrsuzBWaDutdi2VV01yhasJ8gVL56nZA3fW3PuJkko9zmyfG06eV9x4OHp6SoEb/2sP6R0gKjBYPLgAIzu/nQu8+o8jkOYik4nwAt0MMeBir+HXM549WEwfb4A4+/3A7Dq/k2/YA9Hni4LMPgYxjjtUtWwZEJrYbx2TcpvCCT32qUUKugOJilPLetS2HFhyHY0NgTxiNO7bjcFwOjwWND3/nHnWAIcATLhFA+6rpcLMlxYWWJNXmnCFV8va2hZCDfqB5XEyBhYgNUT+uGzZ1i7Y36BMDYzWc8+CBSXVYzu+3Jcqc3z2ffi/X36MCnvq2x3pZ4e0vSzRVhyTTeP7DGaanJZSWML1F1/Soty1Mb5BPUphAe4sTy8NijLxyhBQQUtBFZAEhBbKCI801yil5SzH+gVXCR4qBpHYJV9CcTsDG9jDeQjAByfitE6SUGRQXKGT6yWP1VP98xTnH6STHn56fQnCOTCs4tzfd7QYL6+7nudIbg01Nk1FjLTZ1i1fLLYpEIU818kSNHhg63GTjYoqkYXQzf/ehMMq5HD2oKDb9kC5v0IfkmbYf0MRuZreXflVtj7rrP2m/HkNRV4P8QapgBt8NJNO5XFUoU5I27uWNYpQ4Eu2WvkewQ/KDcQ8Lah6kDVT7Ra3zgAtyRhvHPaT9NMF8tekH3FSUkrjcNrja7LBtur1s8cjJuRYc8zLDvMjw4/kCF7MS0yxBqiQZqz9idJ2kNhbwwLpuYb1H3Q1YVg3KG33rGOVajZRqLQ+P0R4wFPxgwhmkk7cnB34EiSl18lB2Ssent8QEbHpiAy63zZhOdbUNbJIIYBy5n5lWmBdkkvzd6QynEzJ+T5SAvIOpMbJ8nMV2qLEzDQQTSLii55yghormEgL3M7CMjCfGgNNpjnmRosx02H8ai48V3a+I+n6zbfDn19ew1uFitsaizDAvMxQhWTJVknx9Ajh66E3jDiaKEWAy1qIbLDpD96a6pyTNbdORYXFV42q9w5tVhV3bw0QT8XcORqYVplmCSZ7CWvdrObE5Fvq4cwRAcjpLANPIcnKgiOAB8DeA4wB6gJUAKwBegHyf4tfnV6YVni8mcN4j0yo8MySW2xqbpsW67n7fC/2wkImsSQYG68hvcblt8M3JBN8spvhmMUGe6CCX+PqmrpM8wfdncwBAHsDd9uD86+95/hnrUDU9ONtRt77r8XZdYZIlZMiekIRcS0qaFfF5xW8v9NzBc+oQ4D28Doc4X3hHWheNw+t+QB1Y0NWBXLwdDIyzvyn7+Z+ljLdobYfGthCMIxUJEp78w6VzG+9QDT12Q49q6LDte2yHDo0Z6DntLGxgGTt4asaEebHiAloIaC5QKI1SaRQqQSEVcqWRy497iznv0VmDzlk0ZkA19Nj29PmtNeisQe/sOG84BH4k59QE5ALlwefPdIKpTlGqT/dB7azBduhQhfHY9h22Q0dJu86S8gB+vJ7vU4XS+MNkgT9MFzhJ8ztfY7xDby06a8Kxoa/GDmgNjYtxDsbbcQ4Rt4JALTo+NC4JJkpjqlNMdYLsPcfFWEdzsY4AolXVYF03NC/nOszPxb656g+sRMIzvzcWKvjjAbfBSR7+5pwfZfrdYMizUiuog2d0DGKp2wEqJjN/xfCez6lHBTx17YDNdYXLn67BOQFDk0WBrEigEgkzmAA8NejbAdPTEqY3JJNjd6F9DFxwSElfznKAWQjJg6m5QF6mSLLP68ozMJqUCwltJaGjrkdjfZAo3e4MOO9RyvT3PRl7qt+8BGc4LfPRSNt5j6rpyFCz6WCsw5HBVmN1g4X3LZqOGDuvltvRzyYar2aJQq4VUq3CIlsE1sdet+ycow6I208gjaUHozmgyreDwWBs2FZ363ukpsbvNPkM1PgvatT7ZSomX1F3iPTcm7qFCqa2EVSK4EWqVfB9UuNDJQs/SxQBUjJ0k0Ucf84xZi4cgH3W+3HSvp+wE3OM5Ajkg0HAHzHQmoE8QJx3Y+f5mFJSYFHm+P50hh/O57iYF5hkKVItD1KpHmc57zDYKEOl7v6NbG4do7iQ3MtuQvqVVsgSjUzLMaZbCXHr2NCxOmThxmNEbKXOWPQBhGi6CHL02Aavkpgo2AXZSBOA2mPldbGyROFiVuK7s1kAngoUiR7BzHcrLgSNt+jMgM4Rg6CUKQqZoXQpvEwgmMB9FUaJkmAFkGqJ00mOWZGiTBM03QDnh6OApwjqOuewrGoYZ/F2vcPJJCc50KykVMkiwSxP975dSo4m/5wx2HCPip428XrZNh2qwK64qcgAex2kPLuGFrzxeA32YPJ/UKlSOJ0WeLGYojeUFhYlQh7+M4EnIPBYMQJOcMRwCoR/OEfSO78F+AnAzwAvAegAVj8g8DSfYJLRcUykhOAciZLwSzL2f2Squ3tVvLcOxobuNEm9ltsGP12t8YeLBdrvzMjcA9Sj8OeYZAl+OJtjXqQEOvUG19sGVdPBOX9/4Ckw2cj7qcPbTYVUEdCkpIAOz7AsUQTAiT0oH++DgvODhhTdB+PzneYK9NynucKAfrC35hGHcwVzMEeIjRVrqdH1VA9fxhvsTI31sIVkElPloZS6k/n0ey7jHLZ9h7fNDpdNhdf1Fq93FdZ9i8YMaMyAwdmR9SP4nq0TAaZCKpxnBc6zEudZgbO0gOD8KODJeo/WGlRDj5uuwZu6wmVTYdk12PQtNn2HZhgInLImMH4AwCMREqlUyITEeVbgIitxnhd4kU8hGEeh9CcdKQ8Cnm7aBm+aCm/CmLyut9gNPRpr0NqBmjf++DCaWGdpgf/PNz9ikWbvBZ6sc2jMgO3Q4bqtw7jssOoabPoOm74dgbnOmnEOywCkUiIVCoVSNCZZgWd5iRfFFFoIpPJuywBj6bm9qihBd1N32NYt8oSa8rEpzANrikD14B0YgfPBYFB74GlUMcQGGKN5aN/RPaztyTdvVtwmpsTGx822DvYIOc2lfgPrh4euRwU8md6grhqsr7bIJxmyIsHspAQPXcqhM2jrDnXVoqt7dE0PY8IEnAEsnmWhGCNKuNQScrAwhiiipLXkkEpCSEHmt59x5BgIUU2FRio0atOitT16t5cGRXRTMI5MaAzOfjIt8an+OYszhklODIw80djUZLbd9AZK7ILcrBtNU4+pOIkDhls/jzROwfkYL50FE1El+LjAppsuRklFZA3Yd5g23WBQBxaHsW5vWv0PXB5BPgx6CLX4sL9GqiUypZBqeYtpk2k5glJ7/xGazEcGB31emNC7vTksgRYGu+CltQsL3/h1rDH1XRXBlTJNcD4t8MP5HD+cz3E2LVCkxHp47OU9TfQsyEvk3evgsARntLBSElmiUKQJysAKzDQdNy3vPkb7zwsUdetG1sShMe6uJbApHp9d14/bed9iDLTgYwyznAzf//TsBC9Op1iU2Whof1c5eFhv0VuDnWmxsw0t/hxJW6E8BOdIvX6v1P19RYtRjTwhCczZtMD5rMCqamA9+VodUzGxc2g6MsfnFaarFNezAtfbGieTHCdlhpMJpSvGY3TI2DxkYkZWRdMbrOsmJOc1IZK9xrpu0Q/Evnjf/XUcc84xK1J8s5jgj89OAruwxrKSgCfAH+jvfI/jygdmk6M/QwAsDe/ZB6+nDvCMACiWAr7HHqS6/wn1bhrmuMiwLqRZakyzEFufJ8grNYZTfMrnPbayoStdR/Zb1SCREm1vkAZGoYfHoshIJnEg4fgaEog8PDNOJjmqth9TIK82JAff+x0dB2I759E6uldtD4IIGTCCuZHxViQaOjBeD1m7QvBbTapxvnDQeOoPQPh+sPeSFH9qHZ7b8d5nvb01RyGpUlxk3mZNWm/h4A4kjD4kWgtw7GXZAGC9C+9925cyvid9BsWp71/v4A9ez8JaYi97ZkfJnm9Lp+J+ultAQXzvuJ/x1Z3tsTU7XPU3UIye7YpLJF6Dx9f7w3Fx474eVkz6pv3bf0J87WFq4aGkj77zUZY9vv7WMaL3pTHf/97HKjYHjXPY9B0umwo/VWv8XK3xS7XBy90Gq65BawwaS8CTDWm/IrCMFBfIpUIRgKdvyxlaa+BB68NSH8c2st6hNgOWbY3X9RY/VWv8VK1x1dRY9y02fYvaBODJmPE88gASLpBIiURIPM8nWOYN1n0L5wmUKpQeGVHyyHEZAstr2TZ4tdvib9UNfqk2eLXb4uVug53p0VmDNjKO4pcPQLE/vC5An88Cgz+ogXbFgP+6OEf3Ab/awTlshw5XTY2Xu814fG462sd13xJLOQBPh+dFIiRSIZErhW/yCZ4XE1QDPX8zqaAPZH4ce9VA15Mi5O2afHXr0HBiYe5wSCqJLOwImsembm8sMqPgQkMtSpB5VGRxus76YK1gnQ/2KXsmqPceTTdgVTWkSEmpeRTZ98Qs5WMyMztsqh2yEYL0UoTXEwB28Dw/WJf5IOmLJuo8zCXjvf5z6nGtDMKAMc7HRLpm1xI4JGiy2NY92l2HrukxBLYTiwPxzlhwziCVQJIqeOtgjAPvGHk8NQPWzmEyzwkRzTU4/7QOIHmcSOQiQSt6NLZH5wxq240+K4oL5CJBIhRSoaG4OLjlPtVTHVf0ICXWwPPFFP/dkL/J3y5vkCiJt5uKAJ7uOObAeyt0C6zz6I0BWur4yltMm/1N6PAGech6ig/nwRD6b60bNdlPdbusdeiYGYHDbqBEv1HWFSi9YnzIhPEPv7/3xojmhn7sBvcH8p62J0qvO15N96uSnPycykzj+XyCH8/n+OOzE3x7OsO8yCA/8V76mMsHlk2LvTlk2w+3pHdSRFCDh+N0e+I7ylHdbQPKwTjyPhv2kpIYGvCpx0hLOSZPfXc2x48Xc/zp+QkuZhOU6fs7nySxo+fXzrYYvB0XI8Y71LYDZxyJ0Cjlp91jIhQxy1P8cL5A0xv87fKGWJxtP0pxji0CXSntbhUkk1Xb4XqzG6PgI4Nz9N8Abi2AIwh1KHWsg5SnanpiX7gPL9ITKVFmCSaZxo/nc/zp2Sn+7cUZtk2HPFEQgmMwFtv2c0AnYGQ7eQNAALwM4FIH+A3gNvR3PgP4HGAzgE8BJACTIL+nT/xkTxLtKHGKvjubICH+ZbnGL9cbvN1U2NTdP2SDwXu6X/cwuKlq/PXNEgzAarfAH5+dhFRMNU7Uv0oFfyXBgdMyx788P4USAn97e4O/v12BczYCPMeCvXdV9H7hoDlCw0g6IvphZOiSRJ/GYr+gwq05wyh1DbJjY90Iiv0WZxD5xDgM3mAzVNgMO7S2G9cVmklkMkMuUmiuAtuTo3M9KlOjMjWMIyDAwSMTKUqZo5D5CBJxcGzNDluzw840o28QAEguoZiA5hqZIG89AON7d7YPUiYHzdX43gnXUFyOYNBR+wkP6yw2psJmqFCbdtxPyQRykSIXGRRXiKO/HipcdTd41bwFZxyN7dC4FrnIkAhN28FkADUkdrZBNeywNfX4Howx5CJDITNkIh2b8Q4eO1OjMg06243MEc4YNNdQXCHhGonQSLlG7wZszQ6V2cF4OwJVqUgOtp3Cnjg7hmXksOparALD6M+bJf68WeKyrrALLCfJBWaJxAnLAGD0GfI++vaEZ6e1WFqLXEZJV4NFkh09Hx+cw03bEOC0XeFlTQBPBEpSQcDSeDTj53uSoxlnMTiHVddgcBY3XYPe0rOrdxYnSYZFmmGqP2710lqD67bGdVvjl2qNv25v8JfNDbYDeStmUqFUxJyWXNBc39G1u+obrDoChAZH2wUAi4RYTYskQy4VMqnwPJ/gT9MTTD4gBeyswXVT46/bG/xSrfFyt8HL3RZ9IHGUUqOQGvFcOxyXKAUcnMN126C1BpuuG39eDwNO0gyLJEMiZGgwWax2La7WO7xablEFVYmxFlqKkBI6UOqxFWNKdPSnjVJiSt9Wt5pVkfEkBaWBJkqgGwg4unVeOoc+yP6X2xqvlhv8/fIGWaLo3t32yBONNJFj4zPOddY7ap5t6248NzlnKEPDNEvU2Bg1zmFbd9jWHbphGNdvQvAxdTsPTNY8VZ8dGPSogKeRfsYZvCMT8HbXEfAkI/DUoY1sp96Og3nn+zECngDAWYeuI+3k0BvU2w67qsXQGWS5xvxssufl3Xu7GTSXyGWC1vZYYYfeUac4PlgykSAXCVKukQoFyR427vmp/jmKBYiagCcyB16UORIpx9hhhga9sZ8FPMUbFYNHNwQkfzjoPEVk/eD1wN4AEONN/12/J4/D7sdT7cs6Dx+kBZ0x2LW3wYu4YL5F04283TCg/vChG30zDib24yL7M83YhWAoM2I6fXdGErs/PjvB88UEqaZO9z9aOU8GvTbIVJreHByf2KXeH5u94fgdx8jvF2zjtTEyAej42I+AHB+rRArMihTn0wLfn87w4zktiidZglR/eDJunEVje+xMG35CC0eSpXUAGEqZUScee4PV+xQDMCtS/HA+hxTUbFrtGry+2dICC8eDbnHh0RkDt/Oo2x7XwddJiT3DKXb5gH2nL96P3r1WorRnsA7G2PGa+RCQopXAvCDj9B/PF/jT8xP8lxfnWFY1pOCwzqNqelxt63uP168rSuskwBcAvwDQAvYN7RgvAP4MEM8CG0oDTINAp0+bfcTJfG8s1nWLqw15Xb2+2eL1zRZXmx2utztcb2vU3TB2bv/RKoLG1nncVA2AJda7Bk0/IFUSz+ZlMJMVXy2ZKD4nPBhOJjmUFLiYldQtB9D2AyXjuuNZhu+r+IwfQEyQPviUHM4T4t/9u/fBgwVinC9H+d1vOVdw8LBw6GyPZb/G6/YKm6Ea/z0TKU70DCd6hlykUCFMqDI13nZLvO2WaG0P6y2MszjRM5wlCwAYg4cEE1gPW7xpr3Hd3cAGIIkxIOUJUpGgkBnmagqEMbvu1njbLVGZmt7bWxQiw3mywFnq4WUArsRxzWwC2Cx6P2DVb/C6vcKyX4//nnCFxcF+xvFfD1tc9Td41b4FAAKebIeJKlDKHKXMkfIkgEMem6HC2+4al+1ynJdwxnCi5zjVc0ATyCUZARarYYur7gbbYUdsJtgAgmUowvuXvgBXDLVtcd2v8Ka9Ru/6ca45VSVO9AxOeWQyJVIAPg48mQDU/Fyt8ZfNDf599Rb/a3WFm66B5uTZlCs9eiXJwEbzIEZQlHdVQ49NT/5HhVQodYKJSlCbHoM7Tto6OItlV+Pv2xX+slnidV3hTVPBeY+J0pjoBJlQSIQYAag4X1/3LW66Bl3XYt21WLYNAD/6Ulnn8ONkgUTKo4CnzhpcNjv8ZbPEn9dL+r5ZAgDmOsUsSTFPUsyTDAudkcWDI8+nnwNTq3cWzJjxWl4kGf4wWeD7ckbSuiTHWVbg22KKUiXv3ZbWGly1O/x1c4OfqhXe1BXe1BW0EJioBBOdIBFyHJcxddo53HQEgm36FtemxmXj8FpWGLyF9dESY45caSgm0A0UZrDaNbha7/B6uUHdDWOzN9WKUjP7YUywdkGK/Ha9wy9Xa2hFnq2plpiY5Fc+tZwxyCBJ10pCyuFXTKLIit+1HZabGq+XW/ztzQ1SrVC3A3Ztj1lBydjTPA1qGAXGgFXV4uX1Bq9vtmNDWgiO81mBs2mBeZkhCZ6yvbG43uzw+maLbd2N/mFaSkwyjUmWYF4S4Jpqic+d3j8q4EkoQYbf85xm+QzouwHcWAjBiQllafB0qiC1GGV4dxULE02pMCbceO9hBos2mJSnmcbQ209vK4eK3RIPjIl1mUjGG2Iigu4fhw/e213d34sj/VN9nYrnBwPJVWZ5ikmaIEvUSO8EgocKA7ZNN0rdPtUjyftAgX5stgkMwdctLux/fzrndysufPHYxjoUY2z07JhkCZ7NS3x3OsOPFwt8ezrDs3mJRZndAiQfQ7Hxf59fMe2J6nM9eh6+BKcumhIcJ5Mc3yym+C54b704meJiVo6snw9VfG45+FvgsgtAk3TDr2QOx9bhZxdJgmczj0RK3FQN3q4rXG3qMQq9H8zRC0+PvXS4+eirH644Y1CSvO9OShrzH87n+PFige9OZ3i+mEBJETy6Blxvd0jkQzACGcAiiKQAloTmWUIAE8uJ5cRPwZjE/iI4/mI4ZLIa64Is1I4A4aubLV7dbPDyeo1flhusqmb0J/sQ4HSYyhNB9bhl7MEu2H0TZPzm98yECJa8m1R1bDlCSkaD+XXdIg1+V99vCFgsEg0pPs1X5XNrHFOGUSp/OilCmAfJ2LL1dkyg2/skuaOvucOKDGkLi+GR3RrjKbVv3vz6iHhPDKveDahMjetuhdWwgeISkkkwAL3LYJyF5Q4i3Autt+jdgNq0aGyL3g3o3RCSutTIBorMpJ1psDU7rIYKDm4Enjreo3cDPBxSnsDKHAwMgx/QuhY7W6O3AwY3YJAGmivomDQqOVJxnJRrLysz2JkGy36Ny+46sJUkrMhQuAEmyPCAcG/1Bq3tUJkaDATEda5H6hKSYIdxcHAYnAlMrQY72yBe3Zxx7EwDxRUYGFKRIBNJYDzRtqyH7Sg3TISGZBI6jGnrOgjDUZkdNkOFVb9B7/bs0dgE8R6YeResTT4OsFjvsO5bvNxt8dftDf62XeHn7RqtNXiWl5jqFOdZgZM0x2maQXM5zjc7a9CYAbUxWHUNUlFDcIZSEUCkOAVM3WdWFI+R8+QhlQqS8J+mOU6THKVOkEuFXKpbDZTrtkYhNTSXWLY1rrsa665FLjW0IIZeLhXO8+K9n334TG+twVUEnjZL/FSt8LreYqoTXASfpGfZhHyssoIYg4HdlAhKy7XeYxWAn94aZFJhkWT4ppgE2dsUZ2mOQmmkH7BniDYFxlEYjOR8ZFydpjlO03w0cM+lGu/r1jtc1jvksoLiHMuuwbptsepaZFKSzI5xlDrBczuBF/qWT220rIipnTEdeAxPOFBbEUOJbEVI5kbPzn6gNdjh3IcFqR01x0RI13vnHPEYlSO9oQCmTb1P8o3AV2rkrQaCsY6SP7f1KK0GEKxR2LitZZZggoT8o3Yt3q52WNft2FB12kNLgURFBurDtAEeFfCU5glOns/hPdBU7chussbBGroBJplCXqbQqcLp8znS/P032z0LI1zIxmLoDaxx4IIjyRQBWHEi/omzA+sdqqHF226DzVBDcYHv8tNb2xH9MmrbQZsGM1c8mSA+1WcVJ0MAZFrim5MJAGCWZ3i5XON0kuNyXY2pZdR5vp985TEXw96DKsr+HgxduM9GHH7/B64IOs0LSq87nxX48WKBH88X+O50imfzCVKtHh3oBOCf4/iAjlH0mpkXKb49meHHizl+OF/gxckUJ5Mc4kg/Q80lCpmicwNa26OxREsnGQVNvviBv8inlpbkIQcwfHsyRdV0YIzh9WqLNzdbLK37KMvoa1eiJCXpFRm+PZ3iDxfELPtmMcVikkNw8mKYZBqnkxyTLIVWnzv14gFgKsi7yW8BG7yd/A5ANBmP9ekMpxhSULU93qy2eLOqcLmucLXZ4WpDkfarXYNV8MAYjPmglFqEybYQ/FY6ZOwmj2bFn3PdHrJosGfPuNDdjv4XxrjRoPpTzzDnfTCYN1jXLV7dbPCfr6/RDgbPFxNkifosD9GHqJiCCg6cTgv86/NT5InGy+UaL683eHWzCXOFhszvH/k1d99iLHgiCfIpefdwUOOYFrXGmwC6kMS4kDnmaoKZmmCqSkxlgVQkIbGaZGlzNYX3BJ40lgAoxSV61+O6WyETCVKRIhUaxlsorjBV+8U/SSJJoqaYCjIxUkbMVAnrHVKeju/NGYfxFut+Cw4CuEqfH3XNOLggiTJhX8mIOVcZZmE/Z6rETE2Qcj1eF53rUMgchcwgmcBZssCL7AKTMB6ZSNDZYRyDwRmkXOOb9DxIDUXYbjIp35kaCz0DwxSSSwxuQGd7GGex0AXmeoqJzJEEFhVATNylXaM2NXrXQ3IBwdLx/Rlje9mjN1BcYqYmHx0T6zyqocdlQyyaXZC1zXSKP05P8N9PLvA8L1GqBIXSBCSFsY4Stt5a1KYfE/EmOsFMp5jpLPzuccCg5gIXWYl/m59hkWSog9RPcI6JSlAqvfclEmJPpvbAdujIB6pr8R/ra/z76or8oBzJ1BIu8U0xQWs+zHCM4HxnDZZdjZ+rNd7UFXprkUuFZ/kE/zI7xf/r9BlO0zxICpORrWi9g+QCmVSY6RR/2dzA+SXeNgbW78eLMYYseE8lQn5QwpVLhRfFBIOzeFFMUZsBtRmQSUnjohMkB6mCHntW+XcFSf6u2xr/sb7Cv6+u8bapUA8DLusdCqnxbTlFby0BnuH5PMtTLMoMZ9MC/WCRJhKZlliUOc5mBU6nRUjPVeAhaXxR5uhDQvFgyPNpMMSsum8Ru4pAzkmeUoBH8FH85mSCPzw7QZknYxhRDEZpe4P1roF1jrxhDzz2rHN4u9phW3d4tpiM6oQupOY557AoC5zNisCOJ0ZXZFM9RIreowOeTp/NkJcplm82WL5Zodl1cMbBWZIdzM8nmJ9PMT+bjIl376/YzQryhQg8WUfaxVQjSRWEEp81MXDeoTIt3rZrVKbF83SB59kCU0nUNMYY1sMOL+slVs0OfKjRBr32p8oUnuqpYsc40wrfLCaYFxmezUucTjLMCqJdCr4KiwEyov09pwvdKsbGhYoQcbHyNbbj1rd/yArrFSghMC+zkUHzp2en+JfnJ7iYl2P63mMdh8e6XQ9VsZOfKYXzaYFvT2f4w7MF/uXZKf70/ATTPEWm5chu+Nh7aa5QyASDMxicQe8MGtsjRwIlxR3ms59WKoR7JErg29MZPIA0hBg03YB13VI42yeyUn6LSpTA6STHd2cz/PHZCf7l+Sn+5fkpZkWKVJGPgpYCZZrgdOIwyZNxYvvJxQ6AJ1gCntwlMBr5Hh6Xz5nbkGdJ0w9Ybmv8+c0S/+uXt/jleh3M1wPYZG3w5fm4WTXnPPhtyYPEVLlPP+N8BLDvPS3zhw3HvdR4DLyI6YXBJL7lBr4PhvmfKOvay+7cmAybBRA+D2mSX7sYQF6onuF0kiNPFJ4vpjib5lgUGSaZxt/frtCPi4/Hfc3dt+JcIaZ43sX4JEAmRsMTIMMYQylzXCSnONEzZCJFJhJILhENvTNkWGiS01Vmh8rUo1yscwTa5yJFLgf0LoH1FppLTFV5K/U6+gRF0ElxiYRrTP0EkknkIkVldtgONfrAOF0PW3DGUcocx/LUKHWLJHvGW9jgkZOLFOfJCc6SBTKRIBPpLd+o1nUoRIZcZEhFgrPkBC+yCxQiDwCQwNKvUPcNXrfXyEWKqSpwJgtorqG5Amccr9pLrPq3WA9bMDAaG8YxOIPWdTDeIpcZXqQXWOjZ+KxpbIvrboWbfhWALTs2QTTXSLhCZRtshm1I3hNHgU5AIA/0Hd6GxLYReEoS/Gm2wP/74lt8V85Ceh2/tfiOXmUxBTaacUsWwkVCmtwxiXYAkAiBi7xEIiW+L+fjGlZyDs0ltIgm2L82To8m36010FJiO3T4uVqTP1Jbw3qPP81OKPXtI+eI8x6tMVi2NX6q1rhsKkjOkSuN53mJf52d4v86e4GZTiDDuIyyWQC50pgnKTGhQGyst80Oxnn01pIEDwyplChVNKh//w0/Uxrf5FPkMoZz0XaqADYlQo4MWs7YLWuD1hq0gZHGGcOybbBsazRmwGVTIRECq468qDgn4EkJjt5YLCYZ+Ts5F4KWqLl3MslxMsloPhTuK1miAusfWFUNbqoWbTd8supEcE7WFVJgmpOkbpIlxGY/neIPzxfItAqgksDbVYWq6XC5qtAbkj1nWiHRMkjkGHlQbcmDSgqOeZFCSYHeECMbIAuEPzxbYFFm4ZnMQpiUeBDPwq8CPDnn4GwAgwYL0xv6MtSJctYRO6kz6JoedqCfe+dRzDJ4R75O7IgB8N5TspQNyRnGwTmCfLiI5sif15By8OjdgJ1tUdsOjFHs9EKX++6d97jkK6KLWg7jPk2m8FRPBdyW3TEhMMkEJhkl2TCGMQqeJvGk941JC721o6lxlBw8tjqUYciDVJwYcz8vMlzMS8yLLCToPMwN8ejtQzR691BCYJKnuJiXqMNDJpqjxhjo31P3mDEcJLOJMYZ+kiVjct0P5wv8cEbyrUWZ3/rdx1KU8kMGpakmVso3i8lIVR6CD1pMVPq9HKG4iIzHSAmBNBhAns8K/HC+wPfhOH1/NsM3i+ktoONjx4iBFj+FSOGUH4EnDo5UKKRhki/DBPxzJOI0qSEK+OmEziMlBIZAb/c+JIkFA+QIHnytyymaJNN1IcYx//FigT8EBuD3ZySvyw58tJQkM34PYJImSJUE5+zeJuqxgm00wDS8F8R6chsAnvycWAZA0WuiLvnIGgGb4C9xvW2w3Nb4+XqNP7++xn++usbL5YZSGLs+pKL+ug5ln+rAgD/VEqlSyHQEnvQIPEXwKSZ83R80u9vj7lfAkzHoBwLUmp6S2kx8LgaGV2doTjpKoD9QJLsDdl2Pt5sKQlDa58W8hA2LmZEg+xVukoefSVHgGvPCgSEsaKUYFxWpkmgHg7Yf0BmLIYzL17zuPlSR7ckP7onx2UXnHsfzxQQnkxxlmoxg8F3vFEMUEq5RyAzKEfgjGF1HozF3MLQmjx/yMeOMQzF6vREWre3Q2AGN7eg9PTFe6LwkkItxSQlfTICFJDYyLqc1AgNJ1xgYSc64RiYIXG5si9Z26GyPwd9H2xjDFTg0V8hlBuMtUpGE7WDjdoJhBH40V+NXwjUKkWEqS+QyQ+S9MjB0bsBmqKAYMbhmaoKE6yAL5LjqbtCH1yz0DMYZeH7oKwqkXGOiCiz0dNxq6ygJcGcatCHgQoTtSoVGyhMM3oAHs3I/QiAfLw8y9W4MyeZi6rji5B90FmRlBHS9HyCJ8vS4L/HeIULYyDFFzCY9+hQJHhMMQ2jJB565xrnRy+nnao2TJEMmVWDj9WSAPfRkyP0emxdS6HgY79AG36pV12A39JglKUqpsUhynGcFvsknmOi7yR8MxN5KhcLftytkUiKmEXYBCLJhbLT4OBShucAsSZEFeaEIQJVgbPzzXePi/T6xcJGk+Ov2ZjQRt95j03e46RrsTA/jXGAfMghO86pMK+SphnNuTJouMz2mi4sDwyMpBNJEYeJcSL/DmOL9Kc95zhk4BKTAaPKtlUCWqNF3iaxV9o2atjdYVe3IHtaKnrl5MBOvmh6cMQwupg3e9uKlJHNibp1O849u46fU1wGerEPXDujbAbt1jc2ywma5gxnMGAe+W9fY3uywvdkRcBQe7DeXHKY3qLcNnv1wCqUl8kl25+d4D/gQ1WoNgV2HIJQLpqGfelK8WxFgss6hswM6N4xa5SF2UkLixe9nmfNUv6eKoAwDkCqJeZHixckU15sdlhUh3au6wabusGna8ab42IARyfeLlUmahKQoMtCb5glOJzm+P5vj+7M5TicFilTfiq3/LYqUjrSg/P5shv/rDy9wOsmx2rVY70iyULU9qrYbwadHNsy3irEoyWD0cA3jfjbJcTopcDbNcT4rcTEvcT4tsAgPvcdadHxIjjovMvzp+SktpDc7OkZ1g6qh1LJd1//mZrafUhGQVVKgTDWKJMG8SHE6yXE6LXA+LXAxK3E+L3E6yTErsqMnvONngEFxgUwmYWLHR9ldWNbTQoLJBzNOPrxfccZgrEWqJC5mBZlXr7ZYbmsCCroBw1cwneOMIZEENk2yBOfTEuezAs/mE7w4neLbkynOp0VIdbx9L5Kcj1LU6LeTSBnM2t0ne/DtiwW/J06gEyvD9+O67IflPQh4GQw2dYu/Xi7xlzc3+PvbG7xabvF2s8Ou6ykZ8wPbnShJ9+ssGaWIizJDntD+54mie3yU2vF9t/qwsXKvbb+1H7cXgDE97VBqR4lBtK8RSNs2La42Na435HcxBDDqmGdkNxjc7Bo4D1zMiuCzaMkz4zNB2ocuxigg4tm8RKLofnIxK/F2U2G5JYn+TdWMiYVtP4wpkI+pOGdQguYKeUJGuFGOMg2mu9+fzvD92RwX8xJFopCo2x5rBOwIIAAxJ3oOAKhtA844lv0aO9uMJtqScVrge0cSMTegd33w5XEjWANGYJUKjKWZmuDKLbEzDVbDdgRMMpEEA+0MCU8A77ExFVxgTfV2wOBNsOdgI9uU5ET+Xh61gnEorpBJj4WawXuPUuZgjGM9bNHYdtzPXGbj9h3DoaRFrIPzxEjhIyjAA7vr4HWjGAojkEApeiBZ3jufsgf9aA3F4+uChI8HP6dTPafvyQL5Ef5OcX8EZyTTEgKtJVCkswa7oce6a7FJOuRSI2cflhtFEM6zfXOSjT89ZlvIQiLms0XyQgz1+VDxANYzzpEIiVxpTHWCJsj1WmvQuw/LvnwAnXpr0FtDxuTOkwG+kJhokvvp4OH0vlJcIJcKg06QSfI4jgBfaw1qM3x0W26NSzhHtIj7yvaMwY8MDAu2HDIAYYXSKJW+NS7GObjHarB6WB/YVR88oYx1UIyD8z2LmDMC5GdFCik4PICTaY5ESXhPzb9EysBs4h891z6nvsqqwRqHrulRb1pcv1rh9d+v8eanKwwd0f+8B4beYOiG8WdR8m96g2pVY31dQSUSs7MPUCk9iFllHay1JNcLwJazxLayBzI+eHwyK33sEgAw3qJ3Bq0dxhhV0lPbEbX38GGfHs9E5Kl+/6Ukx6LMUKYaJ5McL06mqNoel+sKP1+t8NPVGq9utuBsGxgFBt67zzbXf+gSnG6CeaLGBfX5rMTzxQTPFyXOpyVmRYp5niJPdXio/LbAE2cMnlEH+fvTOZQQuJgXeLXc4OVyg8t1BcYYJW25/SLosVac3EhBYNrJJMfFrMCP5wv8eEE+QXEhWaR6ZNU95oqLvUWR4V+en6BI9Xh8Xi43uNrs4ODRBGN+Utw83mMUJSNaCkwzApy+OZmOx+h8WmCaJ5jkKVJF0briEwDZmMCUcIUidMSHILdrbD+yojh7uGsu1QRE5AkxYKJk8D9eXUGE1DsGRv4JXwl40lIiTzROJwX++Jxkdd+eTHE2JU+EItF3jrkUAlkAroqU9k8rAZh9l/zTK4phOchkPAV4SebiULjvpMbDYzAWdTdguW3w18sb/I+/vsJf3iwJnGn78Z72ITAmVRKLIP/+7nSG785m+O50jjKjTnGRaEqBjAatiCmQ7+7b/bb+rr/5YIIySkECIyqa0ffG4qaiGOzLdYW/vFmSKayxQD8QOHiETr0bLFZVi13b07M3RHBb4QHOIB7RdI8zoMyS4FGW42JWomopyennqzV+ulrj5XKN16uKGKLWAtbBs8fVQOGMGFvkr5KNc4Vn8xLPFhM8D8zoWZFilqdjhPi7JRgHFyQHYwmQCo2N2WHZrbDsV/AAZmqCXveQTMB4ExK8htFQXDARWEF6lP97eEgukYsMM1Vi2a+wsw2uuiWBTYIahRNZoBA5MpliO+ywHSrUtqH3tgMAhiQwjkTw17sPq+fWfgZAaKE9EqFRDjss+xWu+zV612Oup+hcD+MtoEhGGOtjpzA11vdpp9Hb6bYfYHhNAIfj66Jpt+QS7J1nC/n1EFPMeQcwObKeqMHPkYuM0gcBzFSJTNxNSni3GADJeJDSkVeUC15EOzNg3bfY9h0EI6Pvj70Xwj75CAQdtRX736dzkY1r0vgOH5XJI4L3HomQKCSl4FnnsPM9GdM7G1Q/d7+fB4HznbXoLEkHrSfWXRIS5AqlofmHk9kV56PJdy4VJQF68ulqgyF7b49PPeUglZPwYSzuMbYRoFJcjNK+UukgqyUG1uBsCJt43NYMH5KgO79P5JWCnqdSsMDgIoB+VmSYFRmkYCjTBFpJ9IMh5qsSgTUqHsTL6X31VYCnMVmCM3DJIZWA0hJmsOhbApu44NCZQj5Jx4kJY4ykeYNFs+vQdyaARndTBnEgoYunp3N78MmPaNPnFWckQZjKfKT97kxLcj7GIcBQmRbeA4VMQ1dDEaL/wMeWJseCqHJFhm9PZtjUHU4n708xiPXd6RQvTmY4KXOUGU2gH2y7QmxkmWqcTXN8fz5D3fdo+g9rjTkD/nBxgmeLCeZFiixRD8pskYIj1wqzPMWz+QTbMFH82FmRaYkfzuc4Hw3Y3kff/vJ1eMqLoCtPlESqFcpUY2Es8kSFdAKiaM6KFLMiQ9316AaDbjCjNMyGmGiSJuxNWWPXOE7eD/00gHAqsyhxor/EhcShcSwPVOX491FDHGnygeoZFyen05wWdtMCz+YlLmYlFpMcaZCAqQc8T4+tw468lgKLMoMUZC6Ya9r2WZHhZLLD2TYPEjw3SvCi7MO6vaxlHOPDP98a631K013jH7dnn2a0H//IZOIhrSJSv6M2XQSfHS2Jzns6yXE6yXE+LYhZdj7H8/mEZDLBg+ex1+ExyhKFs2kxSnzyRAVwLcPpNsdyWwdDyJDsFBJJrHO/Oj7xz4dMCgIVgbi4DX+6+xi97xoZGR/xmNw+PtSREtDhPnpSEhPt+WKC78+oo78oM/LbCn5Ox5b3Hn2Q1A3O3PlcsiHxqTYdAFqY2QcKyGCMQQo2Sgejd12e7j8jU2pkYUQW4aEMyNrQDXeHx+Y996qwf7GbzA7vT4yNngbjPUlwpAcMnmfzCf74bEHPpnkZmJjpe68LFuR5ALAoMnx/Nsd//fZilHy+D0ibFymeLyYBpNl7H3nvAW8A35HMDg4kvQvH3FuAWWBkFfzqTn2rDudQ1jqs6xaXqwo/Xa3w97cr/Hy1xuub7Sgdfh84q4RAFu4RI+B0OsO3p7ORFRYZT1lyfzbWQ9ahpHCwLjwTG0wyPZ4HWgpch2Sgne0/Oi+wzqEdHHrDUDUdti19gQGplBD86zJEb68laP+0FMi8R54ozHKDWZ5CBYl1kSpMcwJsVnVLc4Xe3L7u3H6+EMeTxjaCfB+eK8Tt2stF2Dvzhf28QRzMF6Isk2QkGrlWODlg516EucLFvAxzBbovvq+iwTglzUXJpgs2Gg2cd9BcIrXkaTM4AxPYTq3t0Loemkk4kYKBwbg9S44HRpViEs57dLZHZWoAxNrQXJNkL4AxxtvgD9WitT1a24GBwYo0ADABfPmE9Qv9vh8b4PG/3hs0tkFjO5KvcY1MpDDeBhCJBz8lYm52rsNq2GBwAySXUFzCeQfFJIrACutcj9WwIdP04IvVuW4EiSKIFseIMw7u93K/w4pyv1xmYJb+vXfDwRAw8kAK/lia6/G9P1Y8+DCdpTkushKDc9j2HVpr8Lap8J/rJQZncZKE9DSpiGUXgCrFSdZ5CK19TtBKnLlYBGmwsyNIMsrpbs0/4rOOjrAH8FO1wk3X0DMm/K6LvzfOJu/eRobbT4lfnWX3Pu1+/QufsvKm+wZdW72lr5iiR+PiD87tgyZD2NvWDHhZbbDu2/143hpLfHBc7qr93NCh6QdUTYf1rsWm7lA1PequHxs2VdON9zPjyEZg23RY1+2okEiUGF9/aDPCOaXnRpVB3Q24Wu+QhbWdkgLO+xBkkgCMtovW2HtizDjP16ExGedA43zzy7KdgK8EPFGinB6pg0mqMT+fYH21xertFjdXG+RlhsmiwGRRQIi9IeD6eov1VYW26SGVAPvA5Jom8xzyoANJUj7ScXIRBjnq7z9xsAXjmKgc32QLFEMC6x02psZqqMbXeE8P14t0jpnKMVF50I0/bAnOxpQgxhgSJfBsMUHd9R/93XmehQd3jllBTJKHKhUi2OOCqswSfH82py7aB4qBjaADJQIlSD4webhvpUpiXmaQghZ0Z9MC//rN2Ue7SEqI0FkrsChpu74GAPKh4gwQQkCDYZqn8J7YOc/m5Uifjze7bdOh7nrUHUlZ2sGgHchXJS7Gh3GBF/weaAVEtiIR5GD7xdshyCFjglH0+gjfEyWRSAKQItgUExrysDgp02TUVk+C5C7T8sGM7j63BNunYERjwkWZo2ppbHdtvx/bIBVqevKt6Qc7eooMdv89duKjRO8WMPXOd6q7J+1R4iGFgJI8LDTkqBdPtUQWvkc5Y5nG7zTeUSaTJQpKvN/f4DGXFMSkiUBOkWicT4sghSSJTfOrY0RmizGhJB6bCBRE4MOGZ8rt47Nf2EYkKk5lfr2oooWUknyUjMTjE48RXR+ajlGqbx2rWU5a/3mRIg1Gk58y5d2ZFquhwmaoD366fx/jLaqhwdY0FDHO6bn30MUYPS988Ej64WyOPNF4cTIN6WkkFd42Haqmo2MXjll3cKwOF8WHgHkE/UbQO4DdxOCjrl9cpOZaoUjpWiizBLM8xaxIsSgynE5ynIRnUqrVBxN5Dut8VuD//OEZJnkCd7Bov6syrfDjxQInk3wfhcwY4F0AnSrA1wAsAEH6DvQAtoDXgC9BoBTHxyY4kZHZW4u36x3+49UV/vPVNX6+Wu9l2R9hx+YJAU7P5xN8ezrFd2dzfHc6w6KkLmuZ0nPyt5ZFv68YGDgHJDiKRIMxSloUnGOSJzid5viPl1foBroXRB+MD5YPvp/Gomp6LLcN4BlYzh6tNDlKjVRg5J3PSmglcTLJ8f1Zi03TYVsTiFY1XXim0TOs7cN8IaQ3RXaUOWhgjdefD5HibM9gOAR7I8ge/cB+NVcI84UskeNcIc4Tcq3HeUKcK5QpAVJKCogP0M2I5WHJg9V12AwVNsMOm2GLrdlhcIYYzuHVcczAWACKDDrbwTIzysFiYlyUxMU0OespOa93w8iW6lyP2rbYmpqAKdePJv3W03ZFgCiCU4M3n8TOMM5g8AM6O2BjKmyHCuuBvncHn/PuWc4ZAWS5zGCdxXbY4Wf/eky6i8zYTKa4SE5D6FKNzbDbJ6GCTMIVUzjVc5SyuGVg/qFSTKCUOc70nLbX7FCZHRpwpC5BIoYgC7TwSGD8h9M1D0tyjkWS4cfJYgR5ll2N1hj8tF1jcA4/VSucpgQ8LZIMc51hnqSY6hQTnWDKkr3X0D2PybvlAmDSGoNV32LVNdj0HaqhQ9X3aO0wGnTfApQCqOS8x8vdBj9Xa1wFE+3e2aOeUdHnTAXZoQy+Uh4+JPcNaO0A4z68djNBUrcbenTWUgMpyuU4mYFTOu7xoxXHZWcGrDoal+3QoRp6VH0XxoR8bCM4N4JKIOnkL9UGv1RrXLc1GkMSu3175v5wmHV7X8B11eDteoe36x1uqgarbY2q7THNKY1Oq32Kq3Mey22Ny1WF5abGpmmxrbtA0EhQpAmRVcL9THJKLZ7mBGwvtzWMdbQmypNxPlFmCV6cAutdi3Xdomo6NOEemWmDPFXIEz/Os76GzcpXeQqKADzpRCItEszPJrDG4fLnJZR+g74bsLiY4dkPp3j2/SmEFBCSun0v/3wJxi9xc7mBCgad7y3GwAWD8BxccoCRv5QLelXOOIFPcTL3qfvDOKYqg+IChUzwpl3jslthOzTjDSGXGqd6iot0irkqMZHZ0Wj8vbaFUzx1NAN+Np/gvxl7VGc6Tr6JdfKwk0MlCIXNEz12fHtjj7rQ44WqhIAMneiHqiRETU6zFOezAv/y3H4UDAPo5hwnRZGl87UYT++ryCKg7mCKItG4mJdh8UyL5vWupZSDEIl9s2ux2jWowqKuavtgvkogVG8shvD+LiywwW4DHu+yl6QglJ6YGOTtkY2gkg5f5FWzKDLMA2vjkLkR3zMuFAVn4wLya1eMPNVSIA9MlMgMiIa1u64fgb74QFjX7Qj01R1N4Jto6joYdCF5yRwY40Y/GBcia+H2oDYQjBYPmRrhetmPv0SR0JgXafTNou+noVt8UuZhss/3152IOvF3WKW/k6JFuwpdfAKdDo/RYB22DXWpNnU3Hp9tPEYRjArHp+0NOkPHaDQpPzg+1P0HQIcogLN7/4Z4Do/XCOchqleNTMUy3YN/k5xAj9NJAODzFFruF2jRTPdTrwsPj51tcdmu8aa9AfDr4xyBp8q0yITGVGZ4ni4e5Pi8W1JQs0hLMtJ8vphQRHDdYlO3uKkavN3scLWhCd5612Bdk8SJDKOHsAhmAGhiTmxCIgWJwCo7XNzSPYcMr6dZSszQfO+fFQHYeUH3UiVpzGNS1rET6PNZiWmW4l+/Ob3NjrujOOMj8EiAYiwLoANcBfgdCFgKjQ/fAb4FWAJgjmN7yxEcGIzD280O//vVFf6fv19itWuwrbsQiPLh98gThW8WU/yXF2f48YKM1r87m4/bL8TnG9I/ZI3sQ8FQpHR/nGQpJnmK5wvy7OoGi9c3W1xva1jnwO5gMR5WZKV2xmDbdlhu6zEAAMcpf75Kcc6hQ5NCS4GTSTaarQ/WYdf2wSeSWIeruh1B4DhfqA9AqN4QMwrGw7n9ovGwQXUrMYnvG1RpeP5HL7AsUbeeW7M8GecKZfBMG9OdwvV4OyXxw88tD2DwlKpWmRqrYYNlv8ZmqNDaDoMboLh6xwOQ7rUOHoOzaC2Z9lrvYIQZAcj4Cc77EXQanMHgDXq/B54a26IKwNPghnFBGNlP1tvw+xYc7OCecT/lhPUWne2xsw3WwxbLfoVVv0VrO/SuBwM/uC8dnB+Mk/RaZKh8ja3ZYTVsUMgcJ3oG4ymBLhcpcpHiul/hqrvBVbcaLUckE2MyYC4mKGUOdSQLUHKJUubgjPxpdqZGNdTwADo3IHUDrCCWZzRnd0cyciXnOEnzkU20bBv8bbvCqmvxU7XGy90GE53gNM1xlpLR+ItiihfFFM/yCRgDcqnABbsnX+buigB3aylV7pfdBpd1hat2h+umxmboUA896mCETl97JpQNoE9jBrTGjE0xMvg+5MD+OlWdBRBYQ+wT9ALAOjgbfJEMmVN/4E5ogon4zgzorAlyPVqjqpBCp0KC6VFjEsbFeofaDLhqdvhlt8HbZofrdoerZoed6VEPA2pDwNjgXLC4iWAwGci3ZghgmL91jsRxuc/Rs86hMxZtN2C1a3G5rvDyaj02x5rOYJLvUGQUghTXPhF4enNT4e26IjC/7ZFqYuPnqR4Tu1NN3ktpUKzs2h43AbRalBnOZxRiIThHmWlM8wSDdbja7LDc1sgSTXPWlHziGBiU4B9kL3/J+jpSO84gwADBcZgwuV3VkFoCnhZzUgkkmYZQIphdMQgpAO9hBjMm3Y1dlF/VvssC0OJDp4oSgZSAlAKTeU7sq/dErB69T+Hy5YwjEQqlJFQymg0mQiMVGorJERWPv/eQFcEGCA6tgI8L7H6bIvaLAB3ux9P1ixMTSCDD16X+P3SNVF/GIDhGRtYhW4ZYRmpktpwG0/FI9dx1PbqBzFdjyk+UIh16fLzLdDoEisbJZGARpEEGGCnyRWA6TcPiepqno4mv/gId4nHyOEoBbjMhSN+/lwzERSUD2y9gsU/do/ekB5bgDJJLZKFDFBkXeehazNqeFrV1i0ndogsT9G6wY+e4CcBTG4C+UQLp3B5U8PTAMyFpSBwwZ+JkPrLQANzqGhOYEbyaEh06IBonZYZFmWNeZHuAie3HaQgLT7rfYvTVemyA613FQxOCas9MPLwWCIQjevS26UY2YASa4vGha8GiD9/3khNiPpEB754BFc1490wbDiEOgNSQxpSEayNRBA5GBmCZ6RGAIuAjQ5Hu2VsPxUDjsdPJYyzxbeYUeWvQPqVCj9KJh679eUv3LS0FkAAmtci0GlmPkYEUaerbhkDCLrIv7P7aOZRH7he9+9Q1KcUo3U21vAX6zcsMiyIyduhn92WuHB6i+DkzHGd8e1d5z0DSOgV4CYI3B+BwMXpPGWQ/UJLgMkjLLlc7vN1UaMI96n3z02h2r0Iy4YuTCf7wbIHvTme4mE/IbP2RMJwO63C+Rwx4Sg9SgpKkMqVgncPZNCeAY7tDFxLw7BEG28Y6tN2ATdOFhcCnH+8vXYdzBQ6Mx+tQstpmw8hAnhfZGFBCrF5iQcX7YzsE1lNgQJGxO0L6255xyMem0iH4JPbzhDhnGCXsajQQnwXj8DxR0IEJ9akMaIb9/U8ygSTIzLz3SEUC4yw0l5iqCSaygGQClhN7STFKpiN/IgbFZDDJ3t8dE67Rux7X/QrWO0xUgRfpOXKZjb5Eggs0poVxBioktUUpmmKSPotLyGBuHd99pidIeXL0vZiFe7sMflSZSGGkDftJqXCzsJ+5SKGZCq+XyGWGhZ5Bc4XO9Whtj0wkJG8LcjrBBCQjKWI/hiyxML5iNC4vZI5cZEgEbXsR3tt6i1JmZPZ+UBwcidBgjKF3AxrbBmaYJ18tQfuSixSZSJEIdbSqRDCGQmqcZQV6Z7EMKW6l0tiZAbuhx+Ac1n2L3lo0lsCNdd/iqq1x2RQ4zyqUSiOXCrnUSKVEKuQtT6j3rTEPgxA6a7HqG6z7Fm+bHV7uNni522LZ1sTsGTr0wQybUgDZyBxyXtC1Juj+ZJ2D4WGeeA82j2Ac4EASzMRP0jywchm2Q4frtsabusLP1QYznUJxDi3EgYeex1Vb46rZ4U1T4bLeoTEmBJUonCY5LvICE51Af2D+eDgutRlG9tebugrjssH6gAlmQoAXEJ5LnKxuHI/AL93Lxrkz4rP07maCFGT7MS8yOO+oMZjQ/UgGMss4nxCUCFqmNGfQocnZG4vTaTHOG3QgK3iOcd0TE/Pa3iBRIoRwkJxTCJrLaykwzSkptWq6kZEfPTFVSNrVUkJKjpMJWalY52+x5+N8Mk9UaJhLcOYwy1NczErwoEj6ks/sx4MAAPCODL+7dkDb9Gh3PZqqJeBJCjAGNLsWddWiqTr03QAb2Sl3wJTek1/BMFD6itQSxSQD4JHmCdJMo5gko4/UJ2+39+jsgGpo0dgeKVd4np6MF+Dh4tZ4i9YNyJz+JFrfUz3V51aEPDmjRRCCN8kkT3A6MYHZRIvqYbB7Zsgh4yZqy/3Bex7chMeJJdvT5w+ZGTFiOzIOqMu5B6Vk0Bp/iYoPsnclbHu6Px8lVcY5YtwFNkmUHDpPMdTkR4ORlQRgZLB4kHlt7AxpKSDylCbYipgMMa2TAQRmGBMSpSjOuzeWOjehM5FIGbxCODF1nAM8UWYj+4KOAUXiRtlDBMoYZygTjWkAnuKDTXCOIlCBY9fWWReA89v+RtZT5HGuScbwCNeUR9fhYiuCCTrI8uZFdgts3csf4zWxZ6LFDqU/lEICt66R+HnRT+gWWMtwS88frwktyYQ6ArFZsmcBRlzwYcaBIRUaC13S4ouLMTo6lnEOlWmxMw0EE5jr4uhu9YNsI6NoYDAC3WIKXjMyBA+A2gAGHl7jwF7qE0HAdz20yGOK35Kjxg5lFv5+35TAL1MCYCnAZgB3gNsCvgHdTBIAGvj/s/dfTZYc6bYgtlyEjtgyVSmo7iOHZ2zucMz4xAf+e9JIztDmXNEKaJRMuXXocMGHzyP2zpJZQAGoQudXncjsqp0hPTzcly/BJPYSu/cfs7EWZdNiVVTE7nGJbr033fuAFk9wx0TxcTrJ8GA2wpOjCY5GlDb6pUlzGaM+HB4xuEaO9bbcxUPKnf6AzARwK+GdRlm3qFvyUPwSi7mVjj5JU3IKn5imBMS33f69ddhPkn/hbalrP1AfmGZ8HwCxl9wdPovUJ74+VggOQGJP9u+9n3WWkFwiBMAlh3DMnNZ0brHJQDCB0LF1iHVD59eZDrUZodENLY474GU/0gIq3aDUNZbtBhYWJ8EMJ8EcofARcJJobbscW5Wj0BZH/gSZTBCKAGOdDgCL5AKC7T2QGIBQhEhlcufnjIA1OgdKggsw8UbDohpnDKEIEIkQoQgQcB8ctCCRyRQCAo2XDawtn8sB8Dk0Ep+BAKqxn7keiP4E3EcgfATch8c9+FwCYA7Q8mFgkMn0lqE5QO1EQoBxhpGXOrAqhrV2YFR5znzd5x4Ctzhyp7vPGAIHEJ3GKf5VHyOVPr4uJ7gqc1xVBbZtvU9jKzV2bYPzYkcyO/d1HCU4jlKcRAmOwgRHUYJAyDu9pwkYMdh1DX7crvD9domX+QY3VYHrukSryQBaMo5IegiERCCkO3fmDOf3C1wX5Q4XxQ4XZU4sJf1+P93hWoD6QAGOSHiYBREeJSNYa1F0LbZtg/Nyhx92SySeh3mUIPMCZH4A685BG4sXxQYvcvp6lq+Rdw0k5xj5Ic6SFE/SMWZBPFz3t5UFhjHoqqnw/WaB7zcLnJc5bqoCN3VBiWzO/y3x/P114aQAoAU0ui7KGlwUO5yXO9xUBSpNqXbvKk8KjBMKJLDWQkqyrAgkAd19Wl7gke3HfGThexLTNDqQ/FuSwrlQnr5fIw9oktJVTTcw76WzpcmiAHHoI/IlBKNgk95LdlCfKD0wpNLQH8B7zhnJpaXE8TjdA/sOnArdon7fnxpjcTxJEfp0TtM0+kWtYz4r4MkYC9UqNHWLumxRlQ3KooGUAtKjzqzKa/oqarR1C61o4mXZm5RBa/fpddYYeL5EkoXwfIl0HCEbR/B8SWbHP2MwaWDRmA65qtGaDhM/xcRLEEl/MFWsdIt1m2PV5mh0CyXDe9jpvn6z6l9QlHxF/j6vewf17JZ+Ag1gGDwOY8g3Nnw4xdl7p/UTbuDADwp7Vs5+8IlbE8NfpBxIMERru9UPmmQLMEaATd0pNFojktadk0Cr6O+1NfTiAQagqlWa7FcEDQyJJURSBZo0E7U48AQCXyIO/UFH30er9y+f1m2v1cp5CdGkJQsDjMIAgRRonQwCIMPAQJLvTn+9G6VRtMRa67SGcjGrPfA0iUI3cKbz379MKQ2U4nT14NOhrB2kg/3gMpAChwyiL7H6thlIWjWygf+GOe5+JQ/A8EwcSKRuyW8OlhTe0cn3jJ7hvwcDRmD/PBzKUg7B3F9CqhSJAPCBWNIKduAMY/tSVqNQNXLVALAYydhNGn6d4u4e+VIg9j2YJHwt9MBJfw/uz4f7qr5P2l//w76pB2v5a/fgNy8mABYBfASYFkDv9cQASIAL+o79BPh9ZS1Qth0WuxLnqx1udgW2Dnga2v07SgryBZo7Q+eHsxEeH42RRaFjXn6SM/5Vq5dpkeE2SVyXGXlqFHVLaXcfKK0tGqUca5gYCl9i9f2jJwUtUAT+W8cJPdh+5+fPbfygFxzayqHR+PD9YGzQjxP4J5LcMwCSkW9kzwLS2JuD02eYUyvsmaD0bDiJE4iR3JtkH9aL6gLLdo1X1RVOwyOchUc4CqaOwSShrMLfi5e4ahYoVY2ZP0YqE8z8sfOGovbG8Xo6nLMMcX/uUpJJ8v60HgFbNr0Vac/c8fdpcYy5cwKn5D0ZDWCctmb4bA+I9fci5D7GXjYYPffXmba3v479u8znHsZeNpzT61YkDIyOnVlIJpGICCeY7cemcO9Ht23+2nV6X3EwhFIOY7FE+nicjnFV5fj7dom/b1d4kW9wXu6wrCtUqkNvRu9xgUAIhELiSTbBt6MZvs2mUCODUErMw/iD8i0LGpMq44Cn3Qr/36sX+GGzxKatsW0beFzgKIwxj2KMZYhZEGPmjM4Dx6zqARjJOf66XkAyjlorMEbSt7vKqvrgq1BKzIIYj5IRaqVQa4VtW+O8YEg88jU8azIcRymOo4Rkos7M/O+bJf62WeCHzRLrtkbetfAYx9gP8CDO8CSdYBKE7weeXL/SGYNVU+FvmwX+XxfP8arcYtvU2LQNMj8Yrkvq+ZiFdF36axII4RbTOJQx+Mv6GowBnVZAi/daq/TAUxoFAG73R72XF6kNJDxpnWdwPKQG9mPHfkGb8/3vA0Aa+jge3w6poW3ywSO3H3sMtjBJeMCwt4OsuF907seTvUff6/6RPcv0cIwJC4SBh/koHvb/KS1tXq/PCnjyAw/ZLMXJoxmCyIc1FrtlAS76FWJAdRpRGmJ+NkE2SeC7ZJS3dTCHq8tgDEYbdK2CMQZS0o0NndeUx72f/PIaGE+qQqM7JDKC5IIG8q6UJZ+lUjfQ1qDxlDMPPOjwv8QR2mtljIHqDJQbmEmXWnjIXtGK/l0rTQ+B+8zv4fy/hLolMXBsj3+k0tY4oMigbFuUbYeibQc2UeAJ8vJxqwpDeh7nJIVTCvoAqOnZTf0AuwClHyltyAdIaXiCI3KJakqbYfuRZ4fECqUN6dPbjvo7TqtwUhtIQ3vggqGzBkbZYdu9P1ASkrdb//KpOwVwYj4xxSCMhRAG4ECjFdZ1jU7rYTux7yHyPISedEwtPWjADQ6BOgvJnWnsFw6f334W3IDrH7Qk5wjgQ3IxyCY8vgcVySeQVvQtLELuvzHB+iXrdQneP3K5IS8AH5bFAB+DfJ80wHz6t6Ftf5jxZEEJO8ucfCM2RY26u1vUtScFRnGIs0mGk0mKcUIefV9C8uXbar9AgiEhNnHeQoFX3xl4NJbGORTQQRHmX1q9KUf8ffaP+wSyHtjikLcWVA7//fZ1GVQNOJBUHwAqABDywLGIiN3UWYVS1xCGJG8EChiEPIDwBGIRInBSuw9t+2PPc78dS15R7G7nyQBwRgtN/ZjAOvbzfrHwNiA2TDAPFmn2YP/tc/iQ5+3hsXOG4f4cXv/++rxt+x/aNp2fO28/cKwZYrp4XGDkBziKyN9p2+49lloHtBTOd0gwjkYrtEYP0q7U80mG5709sElbg7xrsG0bvCq2OC92OC92WNTkYRUJiUkQ4XE2xpN0jKMwwTgIMfEjAsycWfeQ+sgY1k2N82ILjxPw0i+G3uVa9BUKieMowR/G84F9lHfkZbZpavy4XWHTNLiuCkyDyJ0LMQEvyhzrpoayBmM/xDSIEEsPfxjP8SAZYRKESKR/i1X9enUOiNu56/Kq2OJVucWmqWFB1/UkSvAkHeNxOsE0jDD2Q0yCED4n0MnnYrgmrdZY1CUSuXXswfc/S2TRQBLs918zoB+XfJRhy0cMZBgDOH/TLoWehz0wf2vTUtwmD9jbIP6tQzn47y9dnxXwFKUBjh5MwQVHW3dQrcJmsaN/PBgATY4yzB9MMDsbI0wCDF4krxVjDFxwSE+C8w6q0yjzGsZYNFWLIq+RjiJkkxgjT1IM2E+onvG07SrUusXYT94w8zbWDKwoxTVa3Q1O+7+ET8ZvVUZbNHWLqmgBWERJ4JDe/We00gOjzfMkosSHcFLK+7qvX7q0sWiURtl2WBYVFkWBRV5SglXgI/H9AYzptHYAE728WkVAjbbGmd0f0P8FxZmWnTOjduBS3XUIpBzYSr0ZYaMU0sB3UjxgWZRY5CVWZYU08Mnnx/eGVWVtLaq2hjbEiKo7hVophFLisRkNjB3OaIXFWDuAX63Sw8uqUAqbqoZyUpBakWRiFJL8LguCYTXP2j31GtgbypOfwPuZEPf1ZRUHh88BY/crxofFQMlCTPiw7ufPgv3zD1kMACfmEyKAzwGWAGgA24GS7e5+b6wFqrbDKq9wtcmxLZs7sXoA8uCaJCEeTEc4GadIv0B53buKMzYw7GIXW31XdryxJE/tnPzT3MEX6r4+j3pzTP7+Ufrhv77tk6EIMPYyKEvm13lXIO/KW8wcbTUyj+TLIy8d0t4+tO2fU287z/1/P/y7A0PtDr/xS85zbsNlP3NbjjHEwDDyAyAdIfUDPEgy7NoWu67Buqmwaios6wqLuiRz67pErRUuyh1WTUXgk9ZotBqMyN8JPDn/qPNih2e79bCNzhhMghBjP8SjdIQ/jOf4w2iOaRghFBKR9Ab5HbHx9mzpkR8gkN4erPwJ1yIUEqdxOnh5KqNRdHQNStWh2K1xVeWIJXlbDSwaMDI81xqp5+MoTDCPYpxEKb4ZTfEwyZB5zurhPYBja8hc/bzc4flug6uycKCTxdilCn6dTfGH8Qx/GM+ROG+tSHqD/LC/l5xRSmDq+fCFW6D9Qt9ThHMxJ6T/MOOz//zBt9+0PivgKUwCHD2YIJsmWJyvcf1qic0ih9EaxhmJz07HmJ6OMT0ZIR3HCJPg3b0kcwloltD3zgFPbaNQ7Ei+1zYK0hNIxxHET+R+WGtR6w47VaFUDWrdvgE86YEVVUMLAqE0zBurAF96GWPQVB3ybQVYC845gtDDIZKqlEFdttitSzKPlxxh5ONjBsr3dV8/tQj4USjaFsuixIvVFi/XG2RBgHEUYhSFg3Su93jynfSi03qQn/VG3oGUGIUBsjCAtgaLvMSiKLGrW1Rdh6rrEHkeZnGEaRy5yHLj2EbkvyQ5x01e4uV6g/PNDsdZgpM03cffMgZlDDZVTbGrfYR81yEJSHo3S2IkAa0gcbiYZ3eundKDpqtoO2yqGpu6HhLAqk5hlkSYJzGmSXzgPcQGrfzhsRjO7kGn31kJxiHAYd++jgMGBp9LeK4v/728s77cckl2LCLQiXGS25kVYNbuM3e7R9ZaVE2H1c4BT1X9UcDTOI7wYNYDT8Ev5s/3axdjlHwYuRAOT94dbLUO+O/fI79FbPV9/fT62P7tfZ8PnOyMM45Vu8Gqo8Q85qRsHpeYeBnGXoaxT8behzLnXwO0+fjf2//3c6hPdY0YQECOcP51no+zmLwtlaFnedlUOC92uCh3+HG7wg9bjqLrsOsarJrKpcl1tICpFay1GPkBTpG+dZ/KGmyaGi+LLZ7u1rgsd1g74KmX/f3z5Aj/Nj3Bv89OMPKDPcvMHfTr92PkhwgPARYnqfqYCqTESZxiFsbwOEfRNVjWJZ7lxnkslTBObklm3gIe5wNDLPMDTPwQT7Ix/jg+wnfjGSaOqZX5NOd7311rtcaqqfA83+B5TiDXpq2ReQHGPoFO/zo9xr/PTvBv0xN4XNySze+vCP23VC0ZmgsB/pPhuM+jXmck3uXzn8vpflbAkxAcXuiBC45sGkMpBQbAuNUiay3G8xSjeYp0kiCM/PdKtHo6GRccfiiRjkJ07QiqVeCCgwuGdBTBD7xPg3xaikstVINlm1MiluscNl2BrapQqBoM1NFQJ/BhGvznXodyQa0N6qrFblMCFvBDD0kWwvr7z3StQr6tsLzaDZ5bySgE2EFn8TnAsvf1uyxlDMq2ozSspkGtyH9D9V4N5sCY2NGGtWXAga7aWAtmAWYp4c0TfGAn5bJ1xuMcFntjQMH5rW0aa9E6DxDOGPKGUoGUS6+TzuS4Nwhv3ATGglJYenPDNCB5XB97e/gMSQeMkfbeoFO0Cmcs0ew9IQCf+t7E9xF6HnwhyONKURxx7HvwPVrt7wEzC7i44vvJ1O+hXpdUvO8zX/Jg7fdSFgbEbsoB29JgxzLANvQF7Vjih199vf3+tUojb1psSgKk9R3NsIXgiJwXUhoGCLzfF3u5H0f2vh4fW+SB9Asc2H39IvWxY8+7fF46A24GDGbYIXdqDTBIJpB5CUZegkTGCLjvzKI/zYO09xx0snlr3/nu7qU7vezsrZ+5w3Hd+u1fsD/41HOF/XuO/turS421MFygd6yy1sJ3QEvikQn3y2KLl/kGL4otStXhui4gOMdRlKB8j4m1sRa1VsjbBtu2RqkUOmMgGEfmBziNU5zGKaZhhNjzEcq3C7oO/a6MtWiNQqU6tPpuSZxv254yBrVWKFSHvGuxaRsYazEOQpdKJxFJiVB68FywjmRikBdmfoDH6RiPkzGOwhixJAPwu8j0tbWoVIdtW2PXNai1gnbSx0kQ4kGS4SRKMPbDgf31rmsCwDELLRqtUOkO7Rc6hv1YGennVp8V8MSc8zpnDOk4hpAC6YhSC6zzOAnjAEHkI3Cg04cMsMgYlACQ8SyFH3gw2oC5VCE/9BDF/s8yFwccwMU4LIBSN1g0WzS6HUz3dqrEtitRqBoeF9BW75HZn7Xnz6estTDKoKmIzQQASRZC69teVm2rsNtWWFxt0XUKcRbCKONWSb9MM9L7+nKq0wZF02JVVsibFkprYvb0NOE7fHGQ/0cPMEW+hywkg/aiabGrPVgLxG6QIhil9HDGyEDQbUcZg6Lt3PcWypghATD0JGLfw66x6LoOtVKD3wDzafnKAkgDYluRHHA/YOScwRdiiAVvlUal1HC+oYug7lmX/XaSwMO2NmhddLgvBGQoEHoelGnRuYTDPt3vvu7rvn7lshqwNWC2zlTcuC/n82Q1wF4Hnt79YrXWolUaZdNiVzWUwnZHTyLBqS/JIh9J6MGX8nc0qqH6OcuD7MtfW7yvn1mSCYTCh2QckkukMkbrdwO4wdk+7c3jHjx2t4n5TyntvBqVffvzzQHy+eP889DlfCbFsPeACqWHWRgjlB4y38dplOK70Qz/Y3UNBoZVU0Fbi1VTozMG345m701PsxaDT1TREVBkrEUoCHjqU/JSz98zz9+1LdDIsLMatVLIuwaNJnuID/3u66WsRakoyW5RF7iuClxVOQDgJCIwbB7GmAYRpmEE6eT3nDH43AXnCImRTwylzA/gcfFeX6fDMpZsJYquQ9mRn5a1Fr4QGPshzhwbK5beB7tYC7LF6TSBcYVqh+t8X79ufV7AE2MQkppP6sVIxtEA1R+mIhwyYz68TdpuEHrwAw+jafzaGOzTAB097c3ColA1AGCnKpImMIFC1dh2JUrdINLB4DT/u+nW3dj2FuMJwGSeQil9a8WvazrkmxKLyw2MMZgeZdDaQBgLxnH/sruvX7SUJn+nVVm7xDcCe/Z+Cz2QfPCFfsV7n2rVy9A8IRB7HkYhhQns6gax7zkKPQFO5NHkoqW1GbbbaQOlW5QNUHUEQBFDiiPyJCLPQ9l2gyE5+QVy+NLFTHOONCRfpp5V1dehP0mjFIwlw3FtDBijFBc5RFcLZ37uIZACRdM6BkSDcRhAOnP0su3QaTLN7JlT93Vf9/VrlwFsBdgtgU/o3BcH2Zt6uA063RpBvVEWlO5TNh12VYO202+k4byrBOcIfUpGTUKffJDuX+G36v5y/GOXZAKSCYAHSBADeBcH8ZeFbMkg2qIzGq15u5S29+mR9632jSIMmSFyiWnTIIKOUwpdsRaekFg1Fb7fLijApamwdB5QlVLv3K4BjadK1aHsWjRubCU5R+b5OIlSHEUxkg8ATz3oZEFAVqV7gEVDWQPBPs48WhuDUnVYNxVu6hLXVYHLMscsiHAcJfiP+Rm+zsiz6UEycibm+4t1yJHeG/h/xP6tRaPJV6pUxFCysAiEwDgIcRZnmIURIvl+1VJ/XYgFRtel7FpnAP/lhT586fXZAU/7//Pzu+DXGyL7hUSOgnGMvBgPoiliEQwPHOt9VkAP/NRPEXAPEz/B2E8ofvR3ALL0Zu1N3WG9yLG43GJ5tYNyqXVKacRJOHx+tylR5g2EJ+AH3pB6x1z64H3d1y9ZgScxiSM80hpVF6FVGq1Wgy58PyA8/GlPYYYDnyLPQxr4GEUB4sCHFM6QMgpJ1qY1OCeDw1YpFC497zBZpGcd9UlyypB/1HGWYBrHiAMP2obgnCEJ/D2bibEhcjXyyBTdc6BT/wRx508SenYAxXwpYAzJA/ceThSv6jsTdekkgZ4QmLYR5kmEcRQi8T1oGw2SwVFI5pD3dV/39WsXA5hP/k7cMZyg4BxKACYBFtLPA1/n/e9WY+wtb7u7Rm8zYADgpeuTfi9QS+/T1HQKTUds0bti7YyxW4sEvxfD9fv6+LotZf4N2kGfbAVKtM27BkVHXrTmIKHOOEb1NIgwDaJbxs+/h7nKYR0+xtZaWhh0ulhKQbv9zL4xnxx+4vQ/a53JNxvScYe8vT7y+B3FQPNI37HdJefDWFQ7sKRzFhDv635K1SF3KXAXRY5tWw+g013788NS1qDoOiybCuu6RtERK58xBl9IZF6AxPMRCs+l5737ev2U6hd3SdLYb98F5xiD1nzYP88CdE26FtdVjquqwK51oJP50nOZv8z6rICnL7UE4xh7yfC90i0q3aA1ijTV1kBygbnMcBZOkXkRpn4K+StGUf+SZbRBVbTYrgrcXG5wc7nFzeUGba0GP6cw8tB31UYbKGXg+xJB5MHzBLjoZUy/7bnc1++/QikxT2KEUtJKlXtx7eoG27rBrmmGl/Rhczx8twlOnk7TOMIkCpH4/uCxNAoDeJxDH0QN75oG2lqUbXuLexB6EpOITMd7/0fGGBLfQ+z7g3dT7PvotL61ctTL9STn9DnBbx1vDzz14FLgSYyikCKQb22DBsN9cong5B81DgO0mjyeYt+D55hRie/BAuT9dA883dd9/QbFAfigJDvmZHUGt0AmFgLMc5/98IvVWAPlAPPex+4u1dsMEHPSTdZ+J+9xCwzAU92pj5IXc0ahEb48BOTu675+u7LO32bb1li1FUnmjUbnJuHaGoSCpoWx5yPEhyVMv4eycECGJkaNbwWYuLun29DrssPvvZHKh/uLfvzlC4lASEhGi5jGWnTOY6nRygFI795O2bW4LHOcFzu8KrZYNzU652P0U9jp2hiUXYtVXQ2m6dp5F/ucmP6huM20/5TFQIblgaAvSqiDuy4kJWx6YO0dcnILi23b4LzY4Xm+xmWZY9c2lCbtkp7v69et3zXwdJcG9SlQWQKcYoy8GI3ucNNusWi2MNZCgyjrAReY+yMcBSNEwofk4qNpj79mfejaHV43YyyqssF6mePmYoPF5QaLyx2qokGxq7G6yeF5+ySkMPaRjSNKJQx9SF+C32Fg9qk6iN/bys19fVyFnofQ8zBP4lt//2qzhV1vsGua/fvLfbe4vTIiGBuAp2kcESjjgJtxJDB2AE//O7LgKNsOrDwYiDACnqZxhIfjDL4UlKAn9/2CtRaxA3r6ugWGvfb3h21bMAaywBMIrYRFcKdtAMAoDN7694l/F5viu9fH9DP3dV/3RcUYd4ynmNhN9Le4Ja0bgKc7MJCs837RhhIwcXdDbMaI8dT3f5x/2Q5Ph33SLcZTq6D03ZkD/Bbj6e5pePd1X5+69r0CAU87l07WAxqNVugceySWPmLp4zhKfuvD/mXr1nMOB/B0BNBIAo2tvcsze2heTf895JgyZ9Pwvl6R+lCOgAuEPXOU9cnEBLDUWrlwmXeDJXnX4qLM8bfNAufFDpuGAJafWsoYFKrDqq6wacj0XFuyivCFQCQ9BIKYSNZS5EW/qPlR87VbjMB99eB9KCR5jTopX88Cq1RH/lWGwrrexl+yloCnV8UWP2yWuCh3yLvmzh6G9/Xp63cNPGmrUOkKtS5RmxqtadCYBgEPMPamGHtTeOzt6QA/tQTjiEUA46eIhD9QWX0ukXkRfC6JwvmZ22/WpkLtrl1jGrSmgbLKXbcJUjkaPss5Q5wEmB5lNN5lDF7goa07pKMI6YiS6/ryfYkwDhDGPsazBHEakMzuDtVTV5XpsOlWWHdLFCofOuPDjifgIUbeGJk3RsgjSC4hmfeZX/n7+q0q8jzMkhiMsWHF37jVHeHCCIyhWF3JOaZxODCBBH/7E91PBQMpMHVgVKdpdbGXq42jAJ7cDzbeVv123tVy79Ki37WNj/37j9nnh0orDdVpdJ2GVhpaUYJpEHoIIx9++Gn75/u6r99HCQKWuAHs694hPbAdAAhw1yf1UHprnOTkLlMHa2llXGkN5fzrLP+ySU+kjLFDEMUyr7DYlSjq9u6m64Ij8DykYYDIl5D37ND7+o1qv47GEEkPkyCCBbBta2zbGtpSkq5gxHgipvTvQ5HxobIAaq3wbLfC37crbNraJbIFA+DhcQI9eusEwIUpOSCvUgq16vA/Vld4nq+Rd+1gqp14AY6jBNE7kugAmjdmno+TOMWmrXFTl/A4R6MVLsscf1nfEFOtqbFrWzLTdqyqzmgCD43Gi3yDZ7s1nu7WWDYlGANmQYTGkJ3Ex5Yn9ulx267BTV0gFBJF1+GH7RKSc0z8CLH0EElvGL/2rja9fYVg3BnrcySeT1+SUu+S96T0edyZiCcZ1m2N64pSAkvV4VWxRSQ95B2Zn+dd68bhNAclQJXAqf6avMjX2LWNk5OGaLRGq9/udXZfv1z9roEnZRVytcWqW2DbrbHrNtipLUbeBE/ib5HIFB4+3cSm1+nGLr1CyWgAREi/Kwl44uKzH5Q1usa6XWLVLYbr1pgaT+JvIZi4BTwJwRElAYTk8AMJL5CIsxBaGWI2jaJbwJOQHFIKCE8gDD0EsX9nZgMZxBm0psFVc4Gnxfe4ai5gLEW/E+ZOlXkTPIq+wqPoK4y9KSJEEOJ33eTv62dU5EvMWYzE9wcQ09pDORpNsgwIjAqlROh5g7zkXU2YAQgk+UqFnhx05dZaBFIi8Ghw00/83lVv+5eP7Uc+FkT6FPt8X6lOoy5bVGWDtlZomw6q0xjPEkrluwee7uu+3lLceTgJgL0NCLEgr6e9xP29xWjRmXNGzGMDaGbvohIhfxRDII3WBobzD4XoffbVSzCU0sjrBstdiWVOwJPWdwOeZG+6HgYI3QLFfd3Xb1UMzptSSkwRwXOT9NYQ40kIwFqOUEp4nLyKvuBH+E7Vs8Bq3eHpbo3/99ULvMg3GPkBRn6I1CP2VyI9BA6Q8zkByL0n1K5tsGlrrJsKL4stnucbFF2LxPMxC2M8TEY4iRLE3oeApwAncYpd2+B5vobPBYquxWWVQ1uDvCNwpVQdEs8fxotF12HX1di2Da7KHOdljoti58BEYBZG2HUtdj9BMeI74OdhMsK2rfEiDxFKiUK1+GGzxLIuKUCLc0guhjHw3hLCJTa6dLtIejiOEpxEiUvFy6iffC/wFOAszrBsKjzbrSAZR9m1eFVs0WiNnQOdKtUNi7ecMWzbZrg3F2WOi3KHm6pwPmYckyBC3jb3ATm/Qf2uZ+HaKhQ6x7K5xnVzgUV7g0V7jaPgFKkc4WH4BPgEi1Cvy1siHiA6kLV8iVWbGptuhav6HIv2Gsv2BoXK4fMAR/7Jrc9yBzzRV4gw8pGNY1hrkWR7xtPb1k85Y2D87t5ONCA06EyHVXuDZ+UPeFb+HdoqaKuhrYa1BgYGc/8EsBaJSBHwEJJJBNwAn7HEsa9fS4L0jyh1etcpRZ6H6D2Dg4/fz35HgSQT8XEUvuc33r+NT3Usn1OpTqMqG+TrElXZoi4bdI0CFxxh/GX3ofd1X79YMQECnT7dM0KMB7eizwwM2Fvf2a+XsRZaG3SdRqc1pXh+4ciTcZHzdaeQVy1WeYVVXqFTxFa9SwlB3ntpFCDyvV+d8WSMgdEW1hiAEaDIGCGM9O3Xuz/GOEZ6/92+Bmq642F87/XZexh+7nV4Pv3Ppm8jTv7TW0kwZxoN/DbvZAYgENIthAtUqsO2lQNTBGDwuXQgwpdx/T9FtVrjVbHFfy4u8KfVNcZ+gLEfYuSHAwgVS/IzCiRNmynJzmDVEBPnusqRdy3yrkVrDELh4SRK8d14huMoRSz9d+5fcIbU93GMBEXXYBpEiD0Py6bCqq6wa8kcu9bEbko9H5yRH+e2Jdnk0vkwrRsCwVLfx8gLMPEiAGQq392B3XM4JxCMIfE8GBthFsZI/QCBkNi1BfK2wY/b1Tt7+j4ZWrhF2kh6SD0fT9IJvsomKLoOjDFkfoDUC+jz9IvDNjzOMfJDWACLusA4IOBr1za4rgqsmhqlk9s1WpEBOad9LmpKFFw2FdbuuhRdi8wPMPJ9pIwWmKufwAS7r59Xv2vg6b5+i6KXrlYGdd2izGtcvcI7aftpFmE0SzCeJRDiwy85YoRw+CLAcfAA/5Q1mPpHUKaDsh1KXWLdLrBqF5/6xH7V2qdh0KBxrx1/v1b8Z+0HPQD46fdzX/f1tmobhd26xOJiA9VpqFbRpK9RMPca/Pu6r1+tBGfwpEDgCbSKACWjPwyyqEGOViIJib0c+l/u0FIbg01ZY11UeH6zwdUmR9G0xOi6gxltL4EJJLGdpmmENPLhe78u8LRdFlhcrLG42CBKQ2STGOk4RhB68CMfwa/IJi13NfJNiXxToioaVHmNqmwHSY4QHNkkQTqJkYwiRAlZMfjB58947VqF2i2alLsaxbZCsa3QNgqqU1Ctxux0jPnZGLPTEaQn4fkC0vv1nxEDi6pPPnMgibYGgjF0hlJ1OWMUMPAPwwQhf7ppEOFxOkapOnDH1GmNxqZtUKpukNsdJs4BuAV6zMMYp1EKyTm+GU3x3WiG78YznMUZUu/dwBN3gF/qWRyFCb4dz7DrWsyCGIWi+wQAm6bCUwC+81XijDmDePJ+moURTuIUnkvX2wOKFkXX3Q14AoFqymis2xov8w1eOn+kRVWCAcj8EL5jf/XH8fqM4bD19KmJzDGRnm5JjqgsjfFarZF5PlI/GMztAWKCBVIiQ4DTOMMfx0couw7XVUEgn2qhjcGiLqGMheQ92MVdEiC155MoxcNkRKmDnEO6e6ud/9N9/br15Y4O7uuzLGtpdUtrjSpvsNuU2K1LdK0aIkUP32cnj6Z4gmOMJvGd2GcM3CUqBDgJzxCLGI+ir9GZFp1pseoW+LH4G0pd/FKn+KsUSQr1oL3v//TA26cChXrporaaBsy23w//pPu5r/t6W7V1NwBP/YSOC46uVTB3lLTc133d188rBjK39aVA4MnBVPsupYwDnooKWRwi8CVG8ccxOz+nUsZiXVR4cbPBj5dLXG9y8nbSGq8TdV6vXmLCGUPgCSSRj0kSIQ2DW6ERv0Ztljl+/NM5/vafzzE7HePsqxlOn8yRTRJknP26wFNe4frVCpfPl1hebbG62mB9kztmE+AFHs6+muPsqzmOH80wPcogpfgygKdGId+U2Cxy3Jyvcf1yhetXS5S7BnXZoCpa/OH/8gh//I8n8EMPURKA8QDvsfz5RaqX95eqIyZNU6LRNPnm4DCW2DQA0Jp/DOCpH916XGDigKdGKRSqRdG1aLRC2XXQ9naoQO/1JJwksfcwmoYRjsIY8yjBk3SMr9IJnmRjJNJH/B7giTFGTDTOcBQl+G40AwPDLIjwstjiZb5BoTps2hqbth7mApwBvpDExBISR2GCB0mGszhD6wCxStP5XFcFtu2Hr4lxxt2NVljWJf6+XeF/rK7wsthiWZcAYxj5ASZBhEkQwneAHDFlb2/HWAttDHJ3PQvVYdc2WNUlrqocsBbCoXhnSQZfiFvAE+cMISjl7zRO8U+TI0jO8Tzf4FW+xctig84BT4u6dKwpujY9Oy0SHk7jFGdxhnkYD0DhuiEm2UWZf2yzua+fWffA03192rIWWmm0jUJZ1Fgvciwvt6iq9q2sJ8+XODod3ekl19N+GRh85mPmH2HmH0FbjdY0aE2Lq/ocu26DV9VzGPvlTly11QSm2RYcggzpmYCApI76E5WxBp1p0doWHJzou0xAQIAIaPe+FH31Aw+SDACm9zRxzJxBPnBApeecgws20Ow5ZzR5cbKDXg5hjIGQYvA/e9f+tTYwmgy4abWYWGrcGZz3juDWMQ+NNtDK7KUAuH2MhxIAzhm4uE2vt5bYi6qjiPXBA4YxWGMGCcXwYLP9Nodz771N3MeMOwetDXabEuvrHa5frcEFg5Acni+Rb0sU2xrFqBqOhTE2eMMdJmB+CjnA60lWWhkyO9fvOWd3TuzwXDl3///2dTy8z9j/KvWJPSBv7NA29icHOmcpIMTtgd1hO+rbhe2312/DUQro3nIIwcAYH+TN/THe2qczi6b7dFsi80a5+y0kh5DijWTS/tyMvn2MODzP19oiF/tryA9imvtze+Ocjd2368ND66U7bjvCtcVb7ftA+jM8W7p/T71dDrRv2+6L335e+uM0w/aMAyxuPycAG45paDfumA+317eb/TNMx2ZdVNV+n7ePl4veS/H2Ob/reRGCVpcj34M2Fk13N9NVpQzyqsXNtkAWBciiwB3v/t59jpKd19uzcV5VVdNhsSvx/GaDH69XuN4WKJr2ThI75tL9PCEQ+h7S0Mc4DhAF3i8WOf6uKjYVzn+8xp/+jx/x8JtjMABREkJK8avImA/fOcW2xvXLFZ7++XxgYa2ud2Cc2kYY+bDGwgs8RGmIKAmgvxDTX60N6rJFvimxvNrg4tkNXv5whfXNDptlge2ygLUWo2mCB18fQQjyQr1LHfbnw8+U4HNgU/HhZ6v3MjKwaLVC0bXYtA0BpSAGTWsULCgxzA45eL/jOjDC7hlPT9IxjLW4qQrc1AU2TQ1tO3RKOzCOWI+CMXjOeDyWHiIhkHg+HsQZvspISvYgznDmQKAPVZ8S50OAgUGnE0TSQ+YF8IWAMgZXTspXdC20tTTuA4FAoZCIJQEsfxzP8c+TI+Rdg03bYNNU2DQVbqoSlVKIhIR8T19krEGtOmzbBpdVgae7Nf60usaqqcAZQyI9TIMYp3GK0zhFKEia6b1mRq+tGdhYCyd543WJmyrHdVVAWTKyj5x/ViAkZkF0axuCcXovCeDIJrAWSJzxu8c4Wq2wbutB4kjXkuaIvVwxdffln6dHeJKOsWkabNsaV1WOVVPhssphrUXoJKj39cvXPfB0X5+0tDYo8warmx2KbY0o9vH4u2PnLUAdwuHkaXacYTxL35iwfEzRy3MfYfp7qFIV2HRLbNUGIY8QihCB+x6KCOIT+VTVusS6W2HTreBzf78PHtF+7s3Y92UB5VLYmqrDZpljs8hR7Oohnc0YMwwEg8hDOoqQjCIkWYQ4C5GMIqhOoS6Imp87Wn6+qTA/G+PobIL52fitu9fKYL2gfVZFPYBNQeQNMgXPE8MxljsCfjfLHE3VQXcaSmk4x3QAQOKOiY4xRJJFiNLAgWIWXatw/WqF61dr5JtyOBfhcZS7GuWuRlt3BHIZA8+XiNMQcRYiHUfIJglG0wSMMwJztMZuRavD68UOl8+XOH+2wMWzm2EyLz2BYltjcbHBeJ4O5++HHk4eTnH8aIrRJPnkD7sxFtZ51dycr3FzscZ2WSDO6Hw8T6LMa5Q5nXMPgviBh9E0RjZJkIxCREmIKA1uAYhN2SJ391k7sIQkyXpoO03doW06tI0agCPPlzh25zyeJQNIYS3dm65RKPMam2WO7aJAXbVDOiAYBgAnySKMpnQvwsRHGPkIotsrsAOgowy2qwLbdYF8U6EpW9RVi65R+8kPcylonCEZRTh6MMHRg7FbzScwxmgyZ9adxs4xAjaLHF2rSFap9PA+YIy5ZyUc2lgyCm9NkK2xaBuFrnXn3D8LZTOArNbswWE/8BA678HRJMZonmI8S25N1LqOrmFT75/n3bp8Ayi01kJIgTD2ESUBklGE8Yy2d3gdtTJ0X1qF3abEdlFgs6Rz7sHMQ1Atc/ckm8QIY7onh0wUrQyBsJsKddUO7cZoQ9dWGWozdYem7m6xBCdHGY4fTnHyaArpiwHYe1sxxhB4EllM0jBrLeq2A7oPPzdNp3CzLfDj1QqeEMjCAKeTFKIHEj9D0On10tZiW9bYlg1utgV+uFjih8sFnl+vsdyVaO8IwgVSII0CZGGAoyxGGvoUPvERPpa/l+oXF6g/yXH9aoUXP1whSnw8+sMJ/vAfjx0gzOGHEvOzCeZnE8xORkjH0W8iRfsp5fkS2TgGAAgpkI5inDya4cX3l3j210s0VQvPF/sFmI+o/h2sGjUkv6pOQ3pikCOKj2DSMTD4QiLzAxhYCMcOMdYi9QJkqoVgHGM/hMc/fy/UT1UeE5iFMb4dzZB5wSBFrFTnmEOaFmMOJGOSE8uHQBMyz54GEeZhjHkYYxxEiMTH09oE44g9HzM3BvCFwDxMsG1rNFqh1grG9pJeIJLeYIB+4pg9IyeFi6SPkU/+SbMwxrKu8B/zMxyHyTBver0arXFZ5Xi2W+Pv2xXOi+2Q0vcwyfAwGWEexo7xFMHn/YL17a3pnvFkzSDrXDcV/ry6hgFwUxWOVVXhqsxxEiXo3mOvIDlH6vtuAcciEhInUYpCte66aMc4pesSS39I0DuLs+G6eFwg8Twkng+PCxxHKSws/n12gnEQgv9uZpGfb30ZPft9fTGllUGZ11hd79A2HY7PaEISJ+Ew4D58rsOIBvL8k6wGsnc7R39hVeocN+0VLutzZHKEkRwj9UYALCTz4PNPs2JZmwrL9gbn1XNEMkEmR8jkGFZaCC4R4MuVTHzqsrADQLBbF3j1I61s3lxs0NYtgTvKDKu46TjG8cMJjh9OaGKOCaIk2FPzlzmuX61x9XKFq5cr/OF/egTpifcATxqbmx1efH+F1fUO0heQnkA2iXH2xCCIfQjB0bUabd1idb3Dix+u8OKHa+zWBdqqQ1O3A+7EGMP8dISjh1McP6Bj5IIjSgPn72LQ1h0uni3w5//fM1y+WOLowQTHDybwQw+Lyw2WF1vk23KYVIdJgPnJCLPTMU4fT2G/JnBLSA7lJvnLqy1efH+J599fYXGxwfJyg8XlZmCPcMGxuNggzmjlu68kC/Gv/+Xrwa+EWfZJwSdrLJSic758vsRf//MZXv14g/npGLPTMcLYx/Jyi+XVBvm2IraMsUhGEc6+muPBV3McPZhgegwCDw4mBHXVYnW1xdWrFbpGOXaNJbCpbtHUHfJNhXxbotzVdDwWiJIA//K/fAXpCyRZCGkB5hHzqq07lHmN5dUWL3+4xssfrrFd5WgbSgdkjBhkQnAcPZjgwddHePjNEcbzlICG14EnAxhNE531zQ7nT29w+XKF7bLAdlWgzOtbzCchiKF3/GCCP/7PTxClAbzAgxAAZwLGGAfqtFhcbIa2WDngrqnaW4y94wcTAtkeEvgq/dvMDGMs2qZDuaNzpu1dYbPIoToCuLQxA3MsGYWYzDOM5ykefnMExhkBlgevmq7VKIsGxabCyx+u8eKHK1w+XxAw1umBLWithedLjOcpAToPJnj03QmiNLgNPGmDpmpRFg2uX67cfblCWZBpftt2BK4KDuEJPPj6CA++PsLZkzlGDli8BTxpjXxd4urlCttVQe1GETjag01VXjtQs4Tq9EB2e/LHU/zrf/kKo1mCiAUUcPeOySQDCHiKAkzSCHWnsCnv5n1RdwqLXQljDSJP4nSSom4VAikhQUzAz7ksqG1tywavlls8v1nj+4sFfrhY4uVig7pTaNTdDGh9KTGOQxyPUsyzBEkYQApiLP9OhiZ3rh406RqF7arA9asVXv5wiT/+xxM8/sMJvv3Xh8Tk9Dg8TyKIfYRRgDDy4IXerSTkz7k8XyKdRG4BKMbJoynqqkWUBqirDlcvlpCe/EljXGsMurpDWTRoyhZN3aKtOwQRGSP7oXf3fCRHYgqExMgxRoQDTwCgUh0qTUjz6B8MeJKcYx5GiKTEgzgb/IGUMQN4Ym2fRoyBbcTYPpCBczZI3vrv/k8IFBCcWEUEkPiYhzG+zaaDJxEdC32WMQKq+lS5SErE0kcsPSTWc15NBrMgxnejORqtMA9jzMLonQBLoxUuyxx/Wd/gh80Sl+UOedfgOErwdTbF/3r8EMdRgkh6CIUHwZ09x2vb63lzvXSv0xqbtoaxFou6xKqpUGuFRVMiq3xs2wk6826A3+MCmRcg4BKp5+MkTvEH1ZHJuyEmWl+MAZJxeFzA4wTkRc4cPpE+tDU4CjVOogT/PDmCBQhM88N72OlXqC+jZ7+vL6b6yUGxq2E0MSCmRxkmsxTcTYIOn+w+OeNTDMp6xhNjX6Yz0aEQsdYVVu0CF/VLtH4DCwvBJAIewNifR0E/3E+jKb3won6FzBvDWgPJJHweILL3aQ+HcgxjLOqqxW5dYnm5xc35Gpcvl7g536CpWjRVS8CTa4jpOEbXEghgTM+MSQaGRVU0BBr8/Qo//vkCURrg9PGMWBF9osxBQ1ZKY7Ms8OrpDa5eLIlBlRE1eTLPYBz4U+U1dusSNxcbArZeLLFdFXSMdQdr7AA8EctGoa0JqAhjH6NpMkiEulZhebnF0z+f48e/nOPx5gRdq5BkERYXa9xcbJA7DzfVaQSRh3JXId9WMNogSkPMT8fwIR04RRPz3Yp8nZZXW6xvdtiuCicFI9ZT65g8h5KEbJrg0bfH6JruF4lrt45JQuDYBk//fIHv//tLPPzmCG3TIR3HWFwQSLZbE9hmtEGchbckkMITbsVeDPeQGDAVFhcblHkzMJu00tAdsVd26wK7dYl8Ww0SvDgNcfpkhqZsieliLbglALTYVVhd73D1YomL5wucP70Z2DVdq5xpL4FDXacH6ZnWFlIKJFl0kHQFqE6hqfZg1sXzJV79eI3dmnz6qrwZEpsGeacbWJ99NScfP2MATmloXatQ7KpbbfHy+QJV3qBxQG1vLswFh3LH3bUKnHPEKbXvXoJmnKRlsypwc7HB5fMlXv5wjfXN7hZDqQcE00k8gHzZJKa2/5p8pG065JsSq6sdrl6u8OrHa7z6+43bntumpWQwP/DQ1gQu+4GH2WkDo257f3RNh92mxOp6h8sXS1w8W+DV0xtURXPr3EiayAGw4Vk3xsD3JaI4GMBroy2qosH6ZucAbmo3qlVQ/fNeNsM92rPSLOI0QL45hu4o6fVQ+vZGMYbQI9BkniXIqxaevJtPYqc0NkWFuu0wikI8Xue43hYEnAYk3RMu5vpQ3vlr1q1+3LVh7eSVShtUXYeL1RZPr1b48WqJZ9crvFxucL39OK/IwJOYJhEezUc4HidIQ5/klD+D0f2lltEGqtVo6hbltsJmmWN1tQXnDMePpvjn//I1pKTFk0M5NoAvirouPeEYSLf/frcq8fxvl5CBhJD8loT2rqW1RVN1KDYlil09sE/jLEQY+z8pgMPjxIQRr8mYIb0hjj4SlHRnb03mv6Cbcoc6PBvp0tNG/m+/0CoYvRvoSAIAyft/4Q518uGPDNUajUVd4sftCj/uVihVi1ZrRNLDgyTDv85OcBIlg6/Vh9rFANjBYtc1eJ5vMApCZ2ivsWtrrJoKpSKj+3eV5GTsHkkP44MF8f273x6wie9qxfB+GWTP5O+tLV6X1n94+19G9ZJ+7fqTwYLjtbn6p6p74Om+PmkxRnRjP/RoMqpogsQ5g/AEpBS3XsBSCni++GJWt36t6myHSpfYdRvEIoY2vwwIpKyi/agNJJfozNvZNvcF6E5jeUlA0c35BlppzE5GmMyzWx10zwrpWoW66nD9ag1YYvdlkxhCcvihh9nJCMvLLTjnaKoWddEQ+2JXw/MlMZqkGORNqtUodxVW11usFzniLMR4nuL44RTphORvddni8sUSL/9OgIGFxYOvybS1T1uydj+ZbusOddXRAFkSfT8dxwQAcfqsUhpt06Gp3KTXUf1Pn8wIKNN7eVFdtqjyGqvrLYHOJxmK7QwYRWCM5HLTkxG+6jSiNMD5swXOf7yBkAJeIOEHHvzQI2bJPEU63mv+wzjAV388RTqO3wDlPmVZkG9NU3eoSwcmOiAk+NbH2VdzqI6uSeekX0ppvHp6g7bpIH2J8Szde3a9lmbVVK2TdRUYTROMj1KMZ+kgoyBvKeOAew9f/8sZxkfZAGRZQ2DE5fMlnv7lAuubHbQyOH44wcmjiWMRiKEt9gOzpu7w/X97iaZswTlJ2/p2xoUgk/fLLRaXG9ycr7FblwCA+dkYD785fqOPtg4Im8xTnH41R5yEEFKAcQJUyl2N86cLvPz7FaqigfQEvvrns96iBAxsaIfWWNQOjHrx/RVJNh3jjdqEhFIa21WBy+dL3JyvobXBZJ5iNI2d7CSAEJwkk8bACz1EMUntjs4mSLLwjcFTuatxc06+LFXRIEpCPPzmiLaXBPADOcjbuOCIkgBRHGB8lGI0TSB9us7GgV35psKrv1/j6V8uUOY1GAMefXt84LckhnvS+1RtVwQ4tnUHz5MIkwCem8welu408g1N4C2AyTzF7GQC6ctBRtszoow2OHkyw9mTOYLIf6v/1mFxBsSBj3mW4MGkwTqvhtjwD5WxvRE5MZ/+dn4DxhgezkY4Gac4naSIAw+BJxH+hvKp3ly5ajqUTYeyabEua2wKSrB7tdzi1XKLi9UON9sCdXv3d24PqiWhj5NJhm9PZ3gwG2EU/8bSjVszh19318YYdJ1CUxJYyzm997yA2ExSijc8174kwOnXKKM0KQhudig21SBdlp64xW78UBHAT3H1/QKtMRabtsa2rVHqDj6nlLJI+vC5RGzMOxmS9/X7LWMtamdkXnSUPJl4PjIvQCg8eI4l9zES6t5Ni4Ht2WJuLNqzsu6SGPq2ahuFsmxRlS2C0EMc+4jidxu5f0wppVGVLcqyhRAMUUTbFj9BNvs5l1ZmuIaApXFT7EPKX+Y872f79/VJi3Hm0kgk0YQ7jXxbw1qiJHt+PzGhCkIPjPmQnvyHo6K/rzrTotQFdmqDkZ5A2TuYbfyEUrZD7YCnUETo7B1iL/4RywKq01hebfD3P53j+tUKJ4+mOH08w+QoQ+hkAkIw52uhcfVyhR/+2yu8+P4KXauRTRLMT8dIJxRpnY3JW4kLAp6qsiUPoV2NMAmGZ6k3KiaWC8lY1zc7PPzmCJOjFMcPJ0hHEaQUyNcVrl6u8Nf/fE6Tz0czPPjmCNk4Rhj5CGMf1sKBG9qxel7h+fdX5IUzSzA9GSEIPQSRR0bT2qBtFJqqRdd00ErD8wVFRJ+OEEaBY/B0uHpB+37592tYA5w+nqHYVgN44IcSs5MR4jTA6ZPZAHJ1rRr8c+IsxNmTOU6fzDA/3QOh5J9B1+yXnaC4gIQD4IlzhjgLB58kz5eoygZ10eDmYoMf//wKz/92iXxbYTRL8eDrOcWBw3PMln3VFckgL54v4AUSD7MjfPXHE3gOdPPcpEJ1GmAM41mC8TwdQEhjLKqCAMa//p/PUe4qnD6Z4/TxDNPjDOk4QjqOYS0G/5/zpws8/csFnv7lHEYZJKMIJw+nCBM7mG/vNiUunt3gxQ/Xg5eVtcDR2QSPvj3G7HQ0GNHbAxmNH3qYHGWI04CAJ9DtKXY1zp/d4E//x1PEaYCTRzM8/PYIcRoObbH3gOmaDj/891f44b+/xOWL1QCqjiYx4lEEITm0MtitC1w+X2B5tR2kb9kkdv5oY/ihN4BAh2bt6ThCnIZvvGOqvMbiYo2XP1xD+gJxEmB6lGJ+NsHR2RjZNNkDRQfm5oHz9ZIuAa4HkXabEq9+vMGf/vcfKanryQyPvjrGaJYgHcVIxxFJYRuSyT37ywWe/uUCly+WkJ7AaJpgepzBRv6t9yRAg+DdpsTVqxWkJzA7znD8YIrZ6Qh+4MEL5dBPqU7TNZylCCKP7st7XrCMMSSBh/koRtV2OF9t75zCZq1Fp2nisNiVYOcLbMoa35zM8McHc0jBoU1EjMrfCHjqQSdrLcq2w6oosdxVeLnc4tVig/PVDotdieWuxLqoUHeKPK7uUD2LS3CGNPRxOknx3dkcp5MUoyj47VbEf+PxlNEWqlUDE5hzRu+BwIPnSQLS72iO/Y9a5JlaY329w25dDv1XEPnQvV/jHasHn/ptaGuxaio8z9dYNiWmQYSJH2EWAon0aFEAv3kzuq9fubQ1qLTC1pl2p56PRBLwFEkPHnPS4Y/cLgMBTpQ6R/1mb2bf9aEtP+F421Zht62wWhYYjYjFHTr5+8/tWpTSyPMa62VBC0FTIAg8cP67cXUB4PqZosFqVQAWmFjA8ynQ5pc4zy8CeBqaowW0VdBWH3zXMOiTglzag0vnqnWFVtfQVu9Tau5Y2lKCgXH76PdnnbmchXXoLSG3gglKHTv4Ynh7qkv/+xb2YNvK7a/PnrBDCtxgwPrGfuSwr/deNwDWGqiD8+jP63A/nNF14+CodYnOHkoT7nbtGGMQHq1s9WbCZV5DazMwmw617joNiFYa+fgcX3HWWhgctgM93KtbbcG1AwZaDdjfJ+nawtupn53poEyLznZ0/2FgrcGmWyHvtih1gULtkKsddmoDxgADi8bU++2BQ/D9viSTEEyCHyQ0KKPQ2Rad6WDcM2OtxbpdYae2KFSBWOS0n24DgMHCQJnDwTcb2p1k8tY+31b982Ng6LoZNTyv/bV7d9umL37gYPD6M+R+cqmGLVpDkkSfB/A5tadb/cTQV+x7A3Frf3TdJH+T2dFPtLfLAhfPFrh4vkAY+Tg6m8APSB6TjCJIyQdzb+96h7ZV2CwoNWOzJOPiIPIQxT6SEU2Gg8iD9CWMNqjyButFjpGxkJL8XnSn0bYdqqImsKNs0XUa0pPIJgnGs9SxIxjqshk8f5gzlWZsRjHOKR2jtXZgSHDB6Xcut1jd5NiuChSbErA02bfYg17KybU8X5Kh9NkYj747QTaJ0TnpmJACL364Ql222EmSB1RFg3TcwQvkEJGdjojJVDsZ0fWrtTM3D5FOYpw9meHxH09x9mT+wWf0k5d1k6ZOQ3UKnJMf0miSDB5EcRqiKhpURQ3pCbz68RrFthpYOcW2RjqKwDmH91qCUQ9qlXkDxoB0FOHk0cxJJ0OESQDV0r61tpCecIA9Q9caqFahymusb3JcvViiaxXOvppjfjbCw6+PMZ6nGM9TMoguSQJaVy2e/fWCTN1vdtguC+w2xGiSUkD6EuWuxvX5Gi//fuW8oQTiLMT8bIzH353g7Ov5kN5nTe9PRf2DH3rwQ58kcU6yWOZkEP/i+0tMj0fIJgmEELQq6WSiWlE7bGsJMAz+TeubHXarAsWuhvCEA0z3Hmtt3UEIDhF6CCIf2TjG7GSMOAsdOMZcu6W26wUSYeS9McnVztOrKhtELKDFkcAjf6ijzIFtjv0HDF5SjDEEMYGK1tBxdZ1Csa2wvNri/NkC0+MRnvzhhADUswmZkc9TAp3c6uLqegetjTtnev7yDSU5vs54GliUZYsw8uGHPqYnGR58dTQY4DNGx9i1GlwwmuD77wedAOp/Q9/DNInQdhrTJEIWBQg9CW0M1LtSDbEHdYy22FUNlDbYFBU6ZcAZgxQCR1mDaRqhTiPylemTAZ3MkLO9RH6fXovXRvf21jybhnwWe1BpL+swDmTq5anakKROGYPFtsDNtsTNtsDzmzWe32zwcrFBXrfYVQ2qOwJOfUnOEfkeIt/D0SjBySTFg2mGaRoh+IQLavZA9qGVHtiWhymbjDOSNQoKf2gbBbwW6DJs7yAprZdVK8fetGb/731xTuzNnsUpXNpmf37Wkly3bRS6miSnu1XhGH3FIOdumw75tsTqajtsm3FGfUhA78IezDPG7BNG1f49NEjMXpPmCSfd2x8f37MTXPuoq5beoU2H0Bl0B+HbGRJa7fsbay2kA8woZfTNlMyfWoft1xwwiDc3ORYX5AOZrwtiLrrziRLylwsPPOa8gBaMgtB/w9Kiv0nMGYozBtRaYdVUuK4oUl4ygVj6BAT8BPbJfX35ZS2gjEajFFqtYJ0Ek8zUXdv5yG1qa6GsQaU7tJq8s/q+hTufLNbvW2l6byt9S0raBxEIeRv0KosWq2WBy/MNmoYsBqRLAeaCOfBkL/NWSpNMXZvB0oASk2nbND+lRM666rBZl7i63MLzaBFYuHG5OEgy7hMmtdu2UmSH0gO3oreR4G58NCxm7Z/9Xl7fXwc6ZzYkXZMHKW2/f8/BAsKdo5CctufeeX369mE/D9jBzuIwebmuO2w3Ja4vt4MiQggGHZshDXmfVv3zFwu+COCpLwuLUpfI1RaFylHqHKUq0Jja3QgDxjgCHiIQIWCBShdoTOOAgrtXZ1rUukKly2HiX+ocyjjwBtpF2wt43EMkYsQyQSwSxDJFItJ3GkDTRFxBGYVKF8jd9htTozUNWt3CoAe+jJuMcwgmb+0nkRkSmSIS8QfPpzUtcrVDoXbu2hWodAFl1QCeUKoZXbtKV6h0MRzDXa8dYwzSEwhDD6pVzqOidZNS/sbKq1YGQeDBju64g9+gWlOj0hVqXQ73qlIl3UOrnP8SgSY+9xGLBJHo71GKRKaQ7O3pFqXOsWxusGiv0ZoGynTobIfz6gWW7TU602LTrcAA5GqHSEQIRXyrbUkmkcoMicyQyhEymSH1RvDZ/jO1KbFsbrBsb1A5UFGZDlfNBa7rC3SmwbZbE+ioSoQiRiQiBGIvdeKM035EhtTtI5MjCHE7ArUvbdXwDJWunRdqh9a0w7Xj4AN4FYl4aN+JSBHLFLF4t77dggZHpS5xVZ/jsnkFay2OwzOcBGdg4MjVlu6XLlCbGo2uYKxBD8tGIkYiU8Qi3V87frsxaudVUQ+MpAqbRY5XP15DK43r8xWCkNKouOCDP9LSsVoa5wvTNjTBbeqOXnogT6XJUYYHXxFDpioaXDxbwGgDP/QI4HAeLovLLdqmQxB5GM8SJKMIYewPE9Supe1XeY1iV6FtOni+RNt0SEYRsZhCbwCTjDY4f7bA4nJDA/yOvKfKoqGJenybdcEFRzKOcPxwirMnc4xnKXw3SRBSwAcxGPvAgN6fqW0V2lYh0Pqj+uDPoThniNIA06MMRw/GSMckT2OcwfMFYAPEGbGw0nEELgSMNih2FYpdNCShHVYvI5vMSWKXTRKk44iMYt295IJBQIALO0xurPPPq/IGRV6jaxUYIxZBkkUYzzNk0wRh7DughMEPJLFZXKrd5CiFH3po2w6rqy39fkj3uqk67NYl1jc7zM8mmB5TKtrsZITQBUAMDAV2Gxgh9gLJa/rJYV00KPMaxbaGUgbCgZxhEgxtsfdlUp0mv6ZFPjBl66olQCgNYDT9fg94ktywHiSBVdEg31QYzRICYdIQfiAhpCBg100WX68wCTA9HuH0cYWqaLBbkT9TU7YotjVm1yPnNRUiiPxhUktfEpwxJ8tsHRDZQHcagnOEkYdkFGFylCEbR47dS4NQL/AARnLH0TQmRptH12d9swNzYOfhNeackwfbJEaUEvsuG8fO1J3aZO9D4fn0Lr6zsTcDAk8gDX20aYSjcYLTSYpVUaGoW+RVg0Z92FtQG4NW0TvxapODMWBb1pikESZJhEkSIvY9RAEBNb6U8KWA7yYKUjhQiu0X9fZlYex+IN3/fAgqKW3QaQ2lDdpOoVEajWMvVW2HqlXYVQ19lTWWeYVlXmFbNWg65SSDH1dx4ONsmuFskuIPD+Y4m2RIQh++fH9s+ceWNmYIiNitCbhZXm5RV80gB/UDiSAmMOX8xxvsVvkANrx1m8oM3m7Lqy1W11tsV8UAfPcpidRPUHpqNo2RjWOkkxjpOIaUYpC3bheFS0FdYbcuUbjU1ssX9J6pygaXzxb48//+FMW2Go7D8yVOHs1w4hjE0o0VtTbINxWKLXmYbVcFdqsCTdXdAsb6iWUyijGe02JMMo6H1NbDFNHzH2/w4vtL3Jyv8dU/n+GrfzrD6TsWOJqqHRaadKcxPsowOcqGd28YBRDyEyCLPQvZSXtWl+R/ePNqjYvnC1w+X6DcUZItFxyr6y1W1zu8+vH61sLG0YPpEFjwOtO2L8EYJBcIuHRx9pJMohmHAQEE/cLq57cUfF+/RglGZuWcMShrUKoWpXKgkSNIfIyXbqko1e66KrCoS+y6Fq3RSFmA1PMx9kMEXIIZoKo6bFYF1usSjVvYAiOmUZqGSNLgltRtucxxebHB82cL7HYVKQeKFmHkIXTjDO/A5mW3qbDdViiLhsa9mhZ5s1GEbBQhCOQA1KxXBa4vt3j5fAkuOCqnTEjSYNi270v4jlSRb2tsNiW2m8qROugYkzREmtK4p6k71M6rsXOL1NaS76aQ+7GeMRZBKDFyx9V1Glu3baX0AFpFcYA0DZCkAZQy6FqNzi0s778IwLewiOMAiRuD9UBSkTe4vtrh1csVuo76oKpskWUhwojOMww8N26T/3jAU6ULLNsb3DRXWLcLrNoFdmozsBmEm4SncoRAhODgYIwTi+gjEPzOATVbtcJNc4Wb5gqL5hqtadGZBsoqSObB4z5CEWLqzzHxZpj6c8ytgc8CeNx/6wvfWmKStKbFVm1w3VziurlE0W1R6AKlyqEcC0pbDcmkSzLzMfFnmHhzTP05jgINj/t3Ap4622HX0b6W7TVW7tp1tqVrZw1imSCVI6RyBM4cKZKxgZ1yl2KcwZNieMC0MqjKZp8E8Zo3C+cM2Tj6SdreX6csGt0gV1tsuhVu6kvcNFdYdUt0jmWjrYHHPXjMQywTd3+oLQAWAQ8hhHxrWyhUjov6JX4s/4ZSFah1hVpXxHTSOVrTYt0uUagc183lwAjiByyjkIc4Ck5wFJziKDiFhX0DnKp0havmAk+Lv2HTrVGbCrWuUekChcrROuCp1iUW7dUABh3uRzJJ+/BPcBycwsAg4CHCdwBPyiqUusC2W7tnlq5dqUt0pkFrWgfc+pDMw8SfYurNMfFnmPnHAxgFvD321VgLA41KF3hVP8eft/8VBgb/ZP4NEY8hucCivcJ1c4l1u8RObbDtNtDONN3CYuLNMPOPMPOPcBycQXKJFAfAkxsQtk2HuqSJZbGj+Hrj/FnCKKCVjx4gsPTCaZvOGUm30Jq2URUEPCml6WUa+5jMM5x9NYf0BKqiwfnTm8HnyNreXDjH8mqDrlEIIp+SdEbEjunBpbZRqIsWZd6g2NZulVkNfkv9Sgewn7zVRYuqqAcvp34CHSUkgzqcOAnBkY4oqe/0yQxR4ia8jA2rOX7oUTpRQscIZoeVea32bLMvpRgnX5/pcUbsNpe2xDkxv4QUjqkVIRnFg8F46SZcPVPnsDxfIskiTI8UAU/TGMk4ptUtd38479vSfiVMdwZdrQY5pnLA0yGQNZomzsiWVgWHYxyFyKYxJkcZ/FCSgfr1Fn7oIR1HsABNaFcF1jc5jhzw9Pi7Y0yOMkoePaBd9zLQnr3ar4JpByI1FbWjckcg6G5Toi4b3FxuICUfjOSHFT9jUebEIDPG0mTYtcW2UW5STVLLo7MJulaj2Fa4OV9DKZK4rW92mJ+OMT+jFMLRJB4AV+GJt3pShLGPyXGGtunw8odrXK6WWFxsUDgz5NnVeNjmZJ4OE84g9Anoccyqtu5QbIndp5Rx6XQ+0nGMqZuo9sBXbzQsPY5kFGI0SzCZJxBS0KTzZkcMu2l8G3gS3PnEEVA5miZIHQh1aGBNCUvuXt1xgMhAiWyCE8vxaJTgdJJhVVS43hRoHIjzoTLGolUE/FyZHNuyxvObDUZRgFEcYpyEAwA1SSLEgYck8BEFHgIp4XsEQnFGzJ3XWa6m/zIEOBlj0WqNtqMV+qZVlELXdSjqDnnToKhbbMsG27LGtqrRdBptp9AqjUbRz53W0MZCm4/vn+LAw4Nphn95dIxvT2c4naRIAn84j09VRhPAmW8qXL9a4emfz/H0zxfI18XgCRclATInB96tS2yXxXv7XOUYPfm2wsXzBZ795RyXzxZoqg511Q59DIE6EU4ekwT65NEUYAxREjpfNdr/Zpnj2V8v8Lf/fO4A4Rp1sTe/r93CSl21OH96PRxHGAf45//la3guvROQYJxDK41iW+LmfI2rFytcPF/g4tkNim01gNZA3/9wHD2c4OE3R3jwzTGOzjSB1Zlj+Tom0fnTG/zn//Nv+P6/vsD/tfw3ZJPkncBTXXU4f3aD//H/+TvaRuHRdyd4/N0JjDb0zAQeBH4+uGhh3eKUQrEpnTT6HOc/3hDAeLVFU7XggvqcIPQQJuRfdzgJ/8P/9BieJ3DyeEqffUv744zDY4AvBAIhEQkPoQNJyXNH48tbIrqvT1X9PK03mlfGoOw6lKpDoxX1u7Dg9m6G0xZAqTos6hLnxQ6LukTeNui0hmAMiSTgKeQSMMTSvrne4eXzJXa7eniFpVmI+VGGo+MMnifRozqrxR542m4rlCWlyhKQFCLNQoShhzDywDnHapnj4nyD5SInzzRFoR4nZ2OcnhkkaTCMSdarAleXW7x4sQQDBlBrPImQZRHSUYg4CRC7xb7dtsLl+Qbn56uBbcQYMD/KMD/OkGUh8l2N3bZCUTSoXTKtNhaBL+EHpAgymhhZaRZCn1GYSV21uL7a4fzVCk2jBi/ZyTTB/CiFtRmaRqGqWtQVbbdpFBo3N2hbIplM5ylm8wTZyLGPBUe+q3F9tcXLF0sKPnK+VpNpjCzbX0cwdivw56fWFwE8accy6myHTbfGTXOFi/olcrXFrtug0iX6RkgSI5KddLYbgKfWNGgd8+ldRXIqkgflaodVe4Pr9hKbdolNu0KhcijHFNFWQ3EFZTtoq8DAoEwHZTswMEhOq5uSeZDcgziQDPViOpIINSgVTc4LlaPWFRpdQVk1yLsUE+CsQWMkLEie1ZganHGEIkLII2f2Jm7Jq6y1A7Mk77ZYdje4bF5h1S6Qdxvs1PZgEg4wTWBTL0FioI6nMfXwuQ8VZwzSlwgiH37VomhpMG6Mhec5jyc3ObeWXrbmJwz2fuk6lCPu1BaL5hqL9grrdoWNWqNU+cAaonupoFhHUi4AyrYDo8fjAQwMPNcWDkGUQW5pqC0p2w3b1ca1AWhwq6GsgnASTX7QjjsmHFCp3UqVuSWzpB1ZGKuh3HaUUSTxM90AcDJwaEv7IvmCAWcHzwu30LYDHRFJAl+XYPYMOQONUhVYd0vcNJdYtQus2xVytUWtm+E54u7YBZPgHYexxskILSST8HgAj3v0HLHD7oqug7EWnWmx7da4as7RmRYjOcbEn8HnATbtCrtug0LlqHSJxlRQ1qU8OVCwNhUaUw8g7K3LBuylDa0efG1Uq2nw6Si2AIbV4b7IsyXGaEoeNKNZsmdfOJAqjHxMjlKcfTVHsamQb2usb3aYHKVoqhkxBvMGq+stbi426FpNbI5QDl5RPZikFcl9iKbfDSsp3DEI6Hm7fX5BRNR8khWNkY5jeI4p8kZ6B2dDZPRoltKqdE9jdsyKPqXI8+SQeKa1i6X/iRr+37IYI/AmjMl7ijv6NmOM5BYA/EAOX6rVjplE7USrNxc8hOADmy1KAoQRseVu7/hNsNVaupZdQ3IWrQ0l10kOP/BoBf51U03eH2PPRCOjaa20A3W6oU3oHjDKGwBAlIQYzVLEaQjPf0t7EOwN79l+gtdLzyjVUdHg0WIAE6yhCc5hRQkdn+dLzI5HSLLIyTO5Y++Qwfv0JEPXKuQObKqKZkh/2ywLgLEhPbGpO6hOIYwC+G7l7rDCyMd4Rj5OPaBcbCv0iY+7dQEu2JDWOqpadK1CnIV7BqGTALZNR/2CMSR58ihkI3SSmH2bYuAcsK4dkN8VgdeqVXRf2p4VeXArHdgZJYFrOz69Z18bCDJyb/2oYoxBCgYpOIy1mGcxHs1HKFvy/Ksd8GQ+4MVhAQJwYNHpFkVNv7/0PaSRjzQMMEkiTFMCnpLARxz4g/m47wn4QpCMwfVbw7YtvV/0ADwR8NAqTSBSpwZvprpTKGraf143BDxVNbZl7X7P/iwpkSc4Ak8i8CTOphmeHI3x7dkMj2djJ7ETkJ/AgPaw71AtyXhvXq1x8WyBxfkGm0WOqqgHcEh6YkhMrcvmViDE7XEWTax6ye7qeovlJSWUVk6G1rUKuts/o7xosL7eDm3ACzwX9IBemTLIGw/lcTTG2/eDxpABvlL79q2VHkD7fuGmP3+tzJAO26c6ds2BxPBAdrJd5vA8MSxyhImP2enISVAIHNutClw8vcGPf3qFr//lAapib1vweqlOYbcqcfViiaZqEackwU3HMbpUf+IFU4teTtpfo9vv9L1qoA8RoPfLfgvaXcP3v2j7lDFAMjaATz27pTFOCoXfPrHrVk/zkZf6tz72L7UEo+S4SRBi1YRojUajFTZNjeuqwMtii1Zr+ELAF3KQ3jH0JIV+XmOhrUFnDM6LLc6LHV7kG1xWOUrVgTOOxAtwHCU4iVKkMgC3DE3TYbetsFjkyHcVfF/SGCz0YLQZtt+3hz4IpiwbhKGHru3fU+bA57H/stDORqFpXJ/SKkgpBoaUsRZScEjJobVF2ypUZQvOGNpWDc+Ycawo5RhCWhlstxWxktZ7NictMhHbqqlb7LY18l2NsmwHaV4v428a5c6JmFBtqwbD9MrJ4bbrCu1B8MVgBWAtuuG83NjLjcN66SIAlEUDzhlUpxHFAeLIH4Ig6qolNlZL48L+PPtzBT7Ut9ytvgjgqTWN87rJcdNc4qo+x01zCck8jLwJ5v4xJPfgcQ+CycFBX9kOpSpQaJLjdaaFfk8UvbIKja7RmBqL9grn9Qu8qp5DMIFAhHggHw3+UYzxQaKmrSaGlN6hqevh7zvTknzHG93ywWHOYK2Xz3lMwmc+hBxh7E3A3aix978hUIIYUINkTucD28nnAUIRIuDRLeBJO8ZJqQpiftQXuKxfodUNPO7jNHzoWFs0sT+ktpM8aodSlWhti86076RrH1b/kIWxj7LwYNbV4GUypHoJPpjKhm4i/rlxepXpUJsatS5x01ziVf0c180FBCRikSKT44O2wAYvqL4tbLo1WtOi9/Ka+DNqC2x86x7FIsFp+ACCCSe1pGt9Xr3Aef0CTVMj9UaYejOM/SlCHiEQ4S02k8c8ZN7IScXGyOToDWlfKCIcB6cAY6hUMeznqrnARf0CdVUhkenA2gtFtJesuhKMI3Xbz+QYI28Mj9+e6PbAUWNqrLoFLutzvKqeozU1BJOY+ycDQMoPnqH+eWlNg8smd4NYAoN7SZ/k6QfvW2tarLoFnpc/IhYJtFXwuE+MREwHH60eZI5F7CSKGWKRwHuHJJLKOa4xAmAefnOMb//tIY4eTA6IBW9vyOkoxOQ4w/QoI5ZCEtAz4aR2Whm8/PsVlldbXL1c4eyrORlba0qFXF5ucXO+hh94GM0SjGd7k2vg9qJ2r2XPJjG++eczfPvvj14zVn77MU6OU0ydlKD3kFHd7f6SOVaOlC5W9i2DO9b/Z/jhy669Dr+f6Lz7nG69k9/xsT7yt/fruGvMNrv18yeG8PqJY/9/Dvf5E27hYL3iJFOTeYrv/v0hvv23Ry6d79YebpWQnNrhcYbxLB3S97jgjkGWOC9BgclRRibobjJsjEW5q5CvSwSvSOqWOJ+q44dTHD+YDCApAMf4isEF9UXpKMKjb48HVo01JLO9ernE4mJN2xuFGM8znDycuGf/wJPoF4ZWOWeD3OanxLPfpQRnmKYRvj6Z0jNuGaqGBrE9m+hjmUHKGFRNR2w2rVE2LZa7CoEnBrmdEOQjIh2Y3fvQ9HX4HPYyu1v+TQcyu+6QBdUpVC0BUj3o9FMBgx7giQMfJ5MUJ+MUX59M8d3ZHI9mY8yyGHHgf/pJryXZ1/XLFX74by+xutnCGouTx1MCI9PApUru5bDnT2+wvtkh3xDTSLX7RUaAFlTW1zme/fUcF88WYJxhNEsxPspuxWn3Zv0922p1vaWxW0zjOcDC9z14AaV5fvVPpwhjnzzathWKXYWrF0tcPl9Ca4Ozr47w9b+c4fF3+5B3L5A4fTLH7IQCAvqFD845ArcfYywlVD6c7JlYvZdbSxOsPlX1xz+9Ahcc46Psl34kP0kx0PvAA5COIzz4+ohYz0cpXv5wDT/wUOY1SXtCWvyZHGWYHo9I8u3q+BF5EJIPztvboDIGjdaoFS2aekIglBLGEnuwVCSDet8i/W9V9i0/3a6P9x+6r9vlcYFpEOFxOkajNW6qAteqwE1d4C/rGzAGnEQpRkGIsR/Ac5I8zmjhWBsCnCrVoVLElLood7gsc1yWOa6rAq1WSDwPx1GCr0dTfDuaYuZFEJYRUOL83DjnGI1jTGcJJtME40mM0Ti6lbaWZcTGSZMA01mCswdjPPl6Tgs6junkucVQMGA0jqBcQE7PjtIO0NpuKxhrMZ6QTDfLSCKXpgE8T+LkdITHX80wGkW0/YjS26uyxXKRY+t8PgO3eNsvzlpLzKzFtR0AIWsswsgbgoH6UKLOLRhrY9A0HbbrElJwly6tID0OIf1BjgwAuy3JB3uvKc6o7wwDAq36Y2GMOQsD8v08OeUYj2OkgjsZY4gg8HB8MsKjJzNMZ8mt6+gHEuwTqMe/GOApV1us2gWum0tcNee4ri9wEj7A3DvG3D8mbxiRgDOBShcodYFNt8bGrLBuF6h0OXglvavIc4l8fG6aa5zXL/C0/AEnwRlOggc4Dk4RiAihiOBz37GoWpQqx2X9CsvmBq1uhom0sQYMbACH9sUcm0hAQgygWcwTJIJ8myT3BpPoyvkxFW4/q+4GO7VDJGJkcoREpiCGiAcP+4mzthqVKkki1lzhuiHgyWM+TkI6p8wbOW+dBK2pUarS7a9CoXJcNZcDmyrkb5dUHVYv/QjdSqwxBmVRExNCcowmJB/o2SO9R83n9rrobItKUarcTXOF8+o5LutzHLu2MA+OETqZmWByaAs7tcFl/QpbtcZWbdCbtxtrwCGQiBSHj10sUpyGAmNvesu8XDIPhSagNZMZzsJHeBA9RuYR8BMdeB8Rddpzcj+f2s5rBtmhiHAUnCL1xgNjT1uNuPgral3hon6FWCQ4CR/gcfz1AC4lMhu2wcBoH24/BFi+BjxBozE18m6LVXuDy/oVXlQ/QjKJ4+AB5sEJUpkRU0+EUEY5Y/AWV8058nqHq+Z88Gzr//g8QIy7AE8NVu0NrLXIvLHzvkqd7xZ5SFnAMa7U4NEmmUQskzeANAC3QH7msJYw9PHwmyP8x//tD/j6X84cSMzehsMAIA8kMi6WjhXEHYBFwJPvS0en73D1coXNMkft0oDKXU0R9682OH0yw3ia4OTx7BbwdLto4pGOInz9Lw/wv/7f/wWTo2yQ3rzrSfPcypL0xX416QB4YsxNfCXfD2xf31gvxTp8or+Agf97y63AW2M/mknyturZO0Lyd8oh3v/7tw6uXyf/+QdGmxtAzJ+MG9rbwBVnDJOjDH/498f43/4f/wo/9N/fFt07xPfJ9FxKMUjlwjiAFxBbbDxP8fi7E5S7CltnYry63uHmYoPF+RpgzLHAAnz1T6fwfA/zs/GtW0g+UCSnTEcRAb5FM2xvvcixuNhgcbFBmdcI4wBh4hOABWA0TW6xmW5dyFvfP0Exkn72RqKDnO4Tl+AcszSGLyUi30PZKCx2JbYVMUOU1tDmw7K7w1KaVk8bpVE0LSSvBvZbz2wiotbB8/CW7mW/6OogUvfzu0Ap4yZBhwypn3NHehlKHPh4MB3hnx4e4ZuTKZ4cTfBwNkIS+oNE5ZOVO5+mbnH9aoXv/9sLlHmN0ydznDnj+tnJCNOTEYyhgIrS+fyBMeTbClXZoDtcRLDE0F3f7Cjt8s8XePTdMR5/d4KTxySjjlKScfdBFDfna/z5/3iKZ3+9QL6pkE1jzE/HJA8ZMfgRLYoEsY/TJ3Ps1sXgyRREtIixWxc4+2qOf/0v3+Df/rdv99fVeaL1MvIeVOrlpekkgR/6OHowcSxePvQLqlWoXcLo079e4K//53P8+KdXiJIAj/9w+mWoux1ztZdb+wH1VfPTMbzAg1Ya+aZElIaI0wDz0zEefHOEB18fU/qsKz8k1isX717MJVaTQqU7YndwjlB6qFSHRndgCui0/uzMxYdn/j2fYW5x8L5+enmcYxpEeJJOUCmFSnU4L3e4rgowxrBuK5xEKU7jFCdRSjJN5wmljEZnNDpjsGlqrNsKm6bGVUWA07Iuh0XlkR/gJErwdTbBN6MZAs0hDUPj2D69L+RoFOHBoymmswRR5COKfZKXuoaQjsIBNJlOE5w+GOPJ10cD6CPcIg2xggh4EpIjTnxsNxW2G5LnGW2w21YwxiBNSZ5nHKiVpAGiOHDA0xxpGkAI8mRaLXKUZY6ryy0FNDjf4iCUCEIPUgqslgVWywK7bTVYJwSBh3RExxxGPoqiRpE3g8+g0RTgstmUUEo7Y3QDKQU8j+xsgsDDdlthtcyxWhYIIx9x7COOA0SxjyB0wUdpgDQlWfTzZwuslgXKssF4EtM4y/MJvEsDGGMH4GkyTYbryAV/Q/7+U+uLAJ4aU2PrJHa7boNWNzSoFBGm3gyn4YMBPOGMo1A5CrUj6q1YA2AwMI4K+O6ZQ2uaQVZFfjcVrJv0jrwxjoJTRCJ2wFMwyPd2YotC5/C7hfPnKbFsbyCYQCwTTO1t/Thz6LCARCAipDJD688R8HDwWOpZSIJLVIqAp1yQsTVrOFpdk/G5zlEox356jc1FjKccq/YG63aJUhXQViMSHlI5wnF4ipGcIBIJIhmj0RVysUOhIhS6wKr1YKx2MNndXkKHyUOdow32VEk/oFUxIfiQTNKvPr6eoPJb02Qb3WCrNlg0V9ipDRqXmBaKEGN/iuPgFKGIEIn4AHhq4LUecrWDbD00pkahcizYNSSXSGQ6SPH6IpYeeRkRG8fCWoNX3nMEDqz0eEBsJH+GsTfFxJveAoQADH5ch38OSzhgJbTRkJxorMGyvUYoQvKD4T4SkWDi0X7G3hQjb/zaftwfxt+6H21IYrfqFli1S5S6gDIKgQyRyhTz4Ni1OTJJV7ZDaxo0pkFjamekzodnnoEh4CFG3uRO983CQhmFxtSIbQqP+xjJCUbe2Jn+03XrJah0TtTeIhG/AdgxkNGzlBzSk0PqlR9SckwY+0iyyKV60UumL/K9oJQaMAyJYIdt2/Mk4iSA51GUu/BI391UHfJNhfUix2aRY7ssUOwqMM6QTRLMT8aUoufTAJMLt2LqEbjlB5KOMfIRxQGy8f4Yb6VKOm8Qo80+6cJ5a7zOdurvf7+actd6b88xTDBoyEgyLaIz289AgmsNUa3LvEa+rShFKPaHlXbjZHWt0+obbV1CE/V3vVnk68UYbhl136mYAzDdve1TTLRbCevlNX3aFB2/O8aaPFuqvHEDJoEoDQZ2ARjJJIPIQ5QEgCVK9mZREOsg9OGH9jYD5UCu1DNBAPIi6uWWXkBfQeghiD2EcUBG6u4Z6q/NkEDmrunA7Dm8PgeAmPQEMj9GNgGaSYQg9uGHHqwF6qpFvilR5Q22ywLLqy3iNMCDr+ZvaVOuF+OMJnVZCDNLESY+/IiuTdcolLsadUXhAttVAd1pHD+cQnUaYUwsXz/04AUuYMBiMG2uioauiTMP7RPgjCFvqLokL6v+eSZjfu+Wd8twpGzv+fVLza84o4Q76aSyj+clNkUNC4ubbYHrDUdeNwOz6C7zU2spplsb4OMy437bYnCJRJwjkGKQBZ5NR/jubIY/nM3waDbG8TjBKArge594SG3JVNxoQ0mh6xKLyw200nj03THmZxM8+OYIs2MCnlRH3mf5tsTFs2QIkzgcW9l+Zb1RtL3zNS6e3SBK/ME3DKBFBuOY6RQW0KJwbELPl8jXJfJtSc9zRGByEPkDEBtE5IfneQKLiw3CJID0yG9uejLC2VdHd74Jff9i3QKAgYExDNywwY/FWPITLDYllldb7NYl2rod5Hifc/XMUHAX1BF4SBDBWmD8aoU4i6C1cV6CxLicn04GkPBjqwdxfCGReQE4mGOucHicwxOf1p/sp5Y2Go1pUesGrVss7Ix650JLJEIkMkYiIqcrYZ/FeXxJ1TOenqTjQWZXdC1y1UIZg5u6RGs0KtVh2zYIhAu/4twloBp0ViNvW+Rdg7xrsGtbVIpsaEZ+gMwLcBKn+Dqb4kEywjyMwToLKIvWk4gSH+MJhQL4gQSsvWWWTdJwWoChBVMHxkQe4iRANgpvpa/1srXOfe9tMqTzI9baoqoakt3VggBZyYe5q+dJBIFEFPvIMvJ1OkzKa1uNfEcLM5wzSF9Q0EPoud9t4HliYFb3qXbCAetx4g9+e/xgTKQUgU/WwqkM+HBcQUAspLZV8N0CHVlq0Di6t4mI3TGPxqQ2urxYU3/u5IGc82HRuffOiiIHRGXhrfP8VPVlAE+6B54u0ZoavvAx43PM/WPMgmPM/GN43IfHfSdhkwhFBMY4cr3Dtlv3HKT3rgw3psGmXeGifjlI2Y6DMxwFp5gHJ5j5R47x4bvYdQ+BCcGZwNQ/QqFy9EGPO7WFYBJT/+gNeV8fHc/AEEtiroQigmTeIG/iTEA4VhSXHD734fMQy/YGqcyw67bgYOhMg0oXSEz6BjVWWYVC5Vi2N9h2awBAJkdkgB4cY+6fIJEZfO4PrA8CH1LH/CJD7Z7BdZfSSqPY1VhcUjoKYwzTo8x5XfiwBmg7oiYWuwrSE2ibGMYYcPvzYxo/VdW6xKpd4KJ+iVpXCHmEk74t+MeY+nPn2eS7lzW1BWstcp8SEHcdMZ7W3Qo+DzDzT97wEOpfjASIMsAaWIYB2NlDPdz9EU6qJt7YDnvtp9f/HehXYp0vAKOt3vpNt99eRvj+/bxZynbYqQ2uazL0BuAM8aeY+yeY+cdIRDowp4z1SSpqFQqfUu9qTTHvla7QmQ5jb4bOtHe6b5xx+CJEIjOMvQlm/pyYXjKDz4OBedinRh6eCT3Xb3rtCEEDwch56ETO0LsuG1y9WiNKAkycRO0W8KT3kfNcOBaHMw/s2VH93zOXnpaOImTTGLAW22WO86c3WFxukW8rqE5DegLpOMJ4nhJb0L1sPDfhCWNaEYoSemHkmxKvnt7AGEPH6EkcYkZa6QE08QM5vIBogv7LD9Z7Y3IpBQ0u3Auxa9Ubnlm/RRnng7K82uL61RqTo9QxlfjgX0QJdjWKbTWYrCdZhDgL4QfeJ+vTOCdjxziNEGfRwHZrW4VyW2F9k5MXVRoiSgk86jryIyt2NXarAqubHF5AE8Lp0QjpKCL6NEh2lo3jwdSeTOkFrLUIYx9xGgxAYe+9opQGLIgF5yRSUgogpLjvKAkQJwGssdguC7z44RrzszGmLl3vsJTzcelaPbRF6csBGDaWfJaauoM1lgA4X0J6ksy7BSXX+KGHdBTj6uUSly+WWFxtsF0X+4Scw326JMe27ghQdgyoMA4wAT1X0hOI0hDZ+RqXL5a4fLHA2nnraJe2F0T+IAWSUsBq8p0otiRNssaSHCoNB8+arlXItxW2ywKbRU4S1zjA5ChFnAaQnxrE+IgSnN4XceDh0XwExoBJEuLp1QqBlLje5MjrFru6+UlJcF9Kcc4QehJR4GESRzibZjidZHg4y/BoPsaj2QjTLEYS+h8Fxt+1rLXQHbHDm4raadd04JwjSkLMTkeYHmeI0oAmPM7mgHOSWiej6A0gU2vjfNfIzL/YURDF+dMFVGewuNjQIoWTi/RgcL4pcfFsgapowQUfwiyairzNfglsxxo7MJp2joW4W5dQrXJyU+6kdgpdp8iM+3o3+OuRJ8wtHfE/fAnG4XMB43ydQiGRegEyl1wmGMPYD+G9buD3G1RrOizaFW6aJdbdFoUqUahyWDR8vc7CEzyOHuJJ/AAel87i5Lc/jy+pPCEwDSMam3EO4XzAFnWB0knnWq1xUxfYtPWwIEIw/d7jyTilh7EWiecj8wP4XOAkSnEcJThLMnydTXEcJoikdCtKFjDA8TEFXNUVjfuvLrfYbitkowijUYQ4IUZPLA7Yxu8YZlkLVFWLfFcjz8nXsnFm272MWMg9S7VXqbzVNuEtYzkCkmgsxB0jWTqmlXBAUebCRbJRNDCbgL0/U/+9Hz/uF+ScZ6I2bjEOg9SeC7o/ceKDsQxJEkA5U3KjiRXqSeHGSGI4x37R6q3dIQNZSfzC0/AvA3gye+BJcuk8jSLMgiMCn/wjMMYd6MMQiMgZIwtsu7VLbyNmxfsmsI2pse4IeBJMIOABsmCE4+DEgQ1HzkiNDb4+Vlh43EepctRBCWMNtt0KO7WGtQalfvxGJ9kDT5wJJCxFyCOM7ZSYUBAuUc59kjH43IdBjNgkuG6I7UIsFYbOtKh0ScbpeI3xZPbA005tIJlE5o1citcx5gFJFPuVgYAT28Z4BrneYd2tkHk3TgrV3OleaWVQbCssr7YodjWSLMT0KBtMUK2bPFRFg3xbUbT3YBTprs9ngD1VunLA0ysErr3FIsGRf4J5cIypN3cMI+5W4qgtcMZR6mIAT7bdGptuDZ/7qHT5Vt086+FKRkkpxhLw01+IfuI1gEHgt8zq71p7thJgHMjFmAO8Dj7T70e4Px9TvZH9VXOBXO0QiAATjxhiRwE9q6GI9oBbL5WAJWZfUA7P+6ZbozEVTtUDtHcFnkDPLQFPU0z9Ixw7pmKf1Ej1JpTK3f18vYgCT2yNfjLt+RJVSZ4bvk8JPP0gvy+tDdq6RbmrIaSATWhbBPiBvjsasPAEoiREOooxmiSw1lJynrFYXG1Q7Eg77g3AUzLQXxmjCQcXfDi+KAkcPb/C+dMb570mMZolOByI9UBPmdfQcQCAmFN9nOwvXT2zpQfsVKcAkA5em99+Qtunra2ut7g5XxFF2wFKnZsQ9cltuUux44Ijdt5CfuB9Mi8exhn8gBhrSRYSQAigazoUuxrrRU4G6JxM6y2IAVBXLYpthe2yxPp6h8k8JeDpmNLWvMADGCUlpZMYk3kKC2B9vXNy6ACzk5FjIgGwDNaQAWbXUFKKtAIApf0JT7gJcEDPTBrAWIvNssDLH65grUUQSEyObrM2VadRFS2aqoVxK4pCcsAl9FlDE+ZyV8MYg9iGg5l9OoqQOMZSOo4xOxmBC4bl1RabZY7dqkRTtW94+3QdmaxXeYM4M8RudKyjMPaRjghAHM9TJFmIYlviqQNGy7yBVhpcckrOE9wBRhQv39Qd8k2J1fVuoOVHSThM/OuyQbFxwNNNDv2dcmEDGeIsvJVo92sXZxQYkAQ+Hs3JMPt4nCDwJFRv3AqLqu1+38ATYwh9iXEU4nSS4p8eHuGfHh7h4Ww0pPOFvgfBmQPrPm3t00a7wSy/bZQLCggwOxljejQ68P0iwDeIfGTjmADwJBgYkgC9l7qmgzUGVV4PUlXdGWyXOYLIH5ivjOaSGFLXHEgbxj66nmVZtVCd+sRG21TGWnQtvaPWixwXT29w8XSBIj80BLdDwtNmQUbpZAKsh4nlOyda/4DFGbGbIIBASFiPZKi17lBpAuc/K+CpWeHH4jnO6yss2zWWzQqteTtv8l9Gf4BkEidhPz5nt/x17+vD5TvGU+YFSDwfgQMmXxYbvHIm4du2waapUanOBXKRmThnDMIBVoGQCIVEJCSmQYBpGGMexvg6m+CrbIoHcYbMD5C6ffS3STrPqCQJsFoVuL7a4upyCyE4prMWXasHICYaZO4M70ZLLKqqw2pVYLnIiaHeKEqSC4g51MvxgMFZobd0Pai3b38wLFcG0mNusfoAHBLcJexFUNrg5nILoy3qphtApj7FlfNeQk/WHT1jXSkNIRgYxCAfFG77cRwgScjDdbersdtU2O1qCOGY2AExmaTgA3v0vfUrzL+/COBJWYVKV8jVDqk3QihipHKEWCQIRXzLAPmwIk1SqFgmKHROMhz7bqK3Mh0qXWDbbSC5hBIxLKwDDsJ3mu21tsWivXYJe8VghM4hXJLeu9MvDCyUVehMOxiIH6aTHeqstVVYd0vUuqK0O6vQOcmQsW+mJxkYl5qXo9Y1Ui9DJBIkMkMsYgQ8fM176uDaiRix881iYEPK24eqXwmnePcOUXw7drpraYWZTCAbNNk+Velzqs52g09YLGKX+saw6Vbwap/knm+pSpdYtNfI1Y6M7RW1hVRm6EwLg9v36bATYJbBDqsHt+uQZdQDnx9Tt2Op2QBm7bfFXvssu1sn9Vppq1GbmhIn1RbKxrDCkIS1vQFnAh57mycKsGivsWlXzti+QKn7lMcGyt5tYMsZh88DJCIZvJ1CEb2zj7hL9ZKo3jz1wddzwBK7oSoaXL1akQdH1SLOwmGE23UKbdWhqVuXxjUaGE9WHNwDd42jJMB4nuLowQRCcGyWBTbLAvm6JK37NEGcRQhjWsF+/RiF87SZnYzw+LsTFHkFKQW2q4JWrpVBVTY0oXXHSGwPWrWenmSYnYyGpK5fo7xAIh1HmJ2OUOxqVEWNsmhw/YqM1NuqG64/yTQiirR/q6/OJywnhQMjgKUuW2xXJRjnaOoOQegN0rbFxQZt3SEbx8gmMcazBEkWIoh8SF98MiC9B2IYoxjz6fEIZ09mKLY0CVtebgbflnS8AYBhori82sJai+kRGdyPZwmySYwwDpzHHhCPQhw/nJI8zHmmFNsaNxdr+KGHfFsNA6VeUq06YtVqPUcAAQAASURBVCeNZqnzO/KG1bs4DXD0YIInfzwb2tPqegfupNZl3vSLpM7DhibXRhtMT0ZgnJ45ziwsY9CaJsrr6x3qsoX0BaQvIIQYDDW7TqGpWtSlYzH5ApN5hmwSI4jeZJ81VYvtssD6ZgfpKPtkfu6YXcYO0fJlTulh6ThCEJAkUUiBPuGQOabb7HSEh98cQfoSXadx+XxJyZQ3O6TjNVSrB5YVPZscs9MRJkcZRrME6ShCEPkQklM6169ch2bpTHAkgYfQo/SiomrRKYXQk5hsIoziAruqRt1Solxv7q31z/NS+jWr922SQsATHL50huceSetmaYRZSmynb09n+OpoguNxgsgn2d2nSK97V1k4admwkm0GJqgQfDCbPjyXPslSDivd+xRV9Ntzq+j9lzUWfui55zjut/bO4xrPE/IbnKXDQsynYnYO1gvGoq1arK63ePX3aywuN24RhyNJQ0rVdCyz/nfaRhET1Nohzny4kB/YZ1+vn8deGuNArM9ctve26s/PwqJWHXZdg1J1zpuH2oZ2nrTcTYQ/g/Vfp9oosWhWuKpvsGrXWHWbdwJPZ90xKl0P86H35IDc1zuKO4ZTIKi9dDqDYAyRJABq5IfYNDVK1aLoOlqIsAYaFoI5GxnGEEkPkZCIpYdpEGMaRpiHMR4mIzxMRjiKEkgn7eSMOUnxXlLXKWJ61lWHsmggBEcUeWiaDl2nYTQ984Jz+D6l0llrkec1ri42zieSGMx11aKuiC1dufe5UgYq9mEt2SMoZd7wNWOMwfMEwtAD5wxV2eLmeoekakmG50lobeH7AqNx5EzKLcqqJUsTY2EMEDh2thAc0nOWG8M+MOBmrP9y/yYERxh6iCKf7CgsUNfd3qLGSRF9nxiqXtUNKdeA8090X8N7/S3PBHfj6yDwaLxbd1gucihl4PvkTyv7AJB32Ed8TH0RwJO2Gp1t0ZgaiU3hMUpz83jwXrNwxthevsZDl8z27s8bawYGEbQhEIpJ7NQW180FYvF2c2NtNQqXNFcqYrtUpkLAI2irnMDPHoiT7ODlU+sSO7XFrtsOpt61LgcQSpk+iYR07YvmCjfNFWpdoTUttHGg01verMYSqNUYiq/nIIPwgIeUYveeVwtnAh73EYqI4u5NfSfgia77/uWtFPnVWGsHlJY6gWaI7dXaDhPwz4HtBMAlCJKMsTMNCp1jq1bYdmtc1q8Qivitv9fZjtqCym/fT9NRW7Cvt4XfV1kYKNuhNhVytaX2zTxsuw2WzQ1eyKfvXIEiwJauXf8MGUvbM1bf6boR8OSTb5mI4TH/01xrRr4y87Mxvvu3R0hHMcqcJFY352vsVgVefH8FLjkNeu3+9xgYjh9OwB145HnyrQPhMPExPRnhwddzire+2mG7KihONQsxnqUYzxL44Tu6bQaEcYDTJ3OoTmN1s0Oxq1Hualw8X2B5tcHf//wKDGwvP2D9i4/hSX0KP/AwnqV0/L/C+DqMfUyPyZvk4tkChZOMGWWwut7h7396BSGIzRVnIZ788QRP/nD6ywJPvaeIo0DDaeZJllLhxQ9Xg0cKSaZoBe7B10dDelqSRe/1ePrJh8bpDRYlPk4fT9FUX2F1vYXqyPz35mJzK+2kT2bT2sAPJb7794d49N0J5g8miFNiTfUsvGySUJpS4LltrbFdFbh+ucJ2WbzDyB4Yz1I8+ePJII9jzAKMIRlFePjNEawx2K5KSpvblqgrMkn+wXkyvd4WvcDDV50mU+FxPCw/9mzam4s1llc7tHWL1r0/+jQX8onSgwzQ8yW+/dcHePzdMUbT9I17UZctVjc7XDy9GcCgrlXDYgkAii13vjiq0zh9PMNknmJ+RsbKjMElPHKk4wgPvzkmYG1H8thXP17j4vnCJcsI5/FkBk+rdBIjmyZ49O0JZscjkuu5FL/fAnh6vUhyQUluD2YjeFLgeJzielvgelPgZlvgZkffd1WDqulQ2u6z8Gj7UPWTbCEYstBHGgXIogDTNHKMpgizLMIsjekri4fkOk98OlD5Fyu2n2gcHuth985Acu+zr+b4p//5CR5+e7L/7DtOMIp9SsCbJUgcK5B/KsaXMz7vgzWuXizx/X99jnxdYXKc4eG3x4izEJ5L0gNIMq6VwdO/nKMuGlw+X759228hRrwXR7LUh2pFx/Nzzel/y7IAtLXYtA3Oyy0WdYFQeAilhM8F4BY9fS4QCQ/G++3P1FiD2jTYqRy5KtCY9rNM2/u9lscFxkFIDCTPx0mU4pvRFLWT21H6oQt1gB3CIYhVx+FxAY8LxNJDJD0kno+RH2LkB/A4h3Cp4MZY8l9qFHlLrkts1iXW6xK7XYWu07QQBBw8sPRdSAJnsiyE0RbLmxxN3SHLIqTOj6mqWmhtADBoZUhq16gB1O+tE6yx++7BMZeCwEOShFBKY7sp8VQbpH3iXUZ/H8UBTs7G2K4rbDYltutySL2LInXLFF0pevffpaQnkGYhZvMUqtO07U3lACm3/dhHHBkAFp0i7+SPLcYZAl8iSQKURYNiV+PFsyXSrEDaX8fYRxj5EOLn20d8EcCTsRqd6dAYMriU3EMkEvjcf8OD5rAYOCSXDngKUDP53kmohkZrW9SGpGt91DsHd9K4t4NW1h2jsRoahuRq1iCVGdRrwBAZnIM+A4NaV1i3S9w0l9h0K2y7DbbdepC3dbYdHJastWhNTccGi9bsmSBvYygQCKCGzzHGEYgQgYgg+ftXqAQTbgIfozUNBBPo7mIL6iDbPfBEq7vGGAiXhkUr0vTVNr3R2+chsetLWz0AT5SaQ3dBMDFI0d5WFi5Fx7HWjGsPnUuSO/QZ+z2CT8ZaelY1sZ7sAdDWy0vfdda0auKum2P8SSb3jL47XDcOYjzFMnbg9Kfz2JGeoBQfF3P87C8XZM56sSGGSNmga/VA+5eedKlaPpq6xWia4OE3x+5ZfTN9JYoDzE6yIcFms8zx8vsrPPjmCJOjDKePZxjNkjfYTocVxj5OH8+QZCEuXyzx9C8XWF5usFkWlPxTNtBqv1rSm2WHsQ/fl5j9/9n7r+bIki1rDFyujgwJkaqy6vbt7o/sj0bOmNFsXub/P87DjHGM5Mevu++9VZUKOuQRrviw3T1OIBWQCWQiq7DLUMhEBkIcP+6+fe211n4yCaDTzX3dviaKKsf8eAyViSQLvDpb4fJ0lRIMmQlIJTE7GoEBOHhC3X7uMyKYwET0MyKGzsW7BXluLbaBheBRTwo8/8tR+DrE8fMZ6kmBrPj0fvNl74veU1HnePryAHmZ4d3vF/j1v7/D21/PcXWxToAYsKN8Hz2f4cVfjvDifzjCk5cHOHo2RTUaGHAyYDyrAvBYgwuGZtPi6myF09eXWC8aNJsu3RuME8tHKoFnvxwiKySOXsxRT0rwUGaOwNNkVuHV38/w6//1FievLrFZNcR43XY0VxzNhngfTuYVijLD4bPZbm/zlDCulw3O3i7w6j9PcXm6xOUpdYKMQGHsXsMFx8HxBM9+OcDP//oUz/9yhMlB/Z7ssd10uDpd4XXwhrk8Dd6EkQIfwEcmGKpRgWe/UCex578cpY5TQGAcgmE0rfDTX49Qjwu8/vspfv3v7/D672fYrlsCKTsTmgzQXvgi3TdHePJyjvnxBOWoSMWbh2DEzcPmXOUKLw4meDIdYd12AXDa4tX5An8/uUT0/3POo9UaP8LxMM5zJQRGZY6jSY3jSY0Xh1O8OJjg6WwUAKcSoyKH5OTfwflOtv5QIxXSU0HvQ1Rq+jeVSTz7+QD/0//rn/Fv/+s/DarjH/6ANP95YlPFOXcX4eET82G7bvHutwv8+//2O3RnMD0c4fk/HePZL4dJUg4gzS3A491v5+Di2vu+/jFuOG7e+2TGbo0NjKev/ojfPOL5wTmPZd/i1XqJ39ZXGGcZRipHpTJkXCDjApXKEqDwvcN5h9Z2WJkNAU+2fxDv688SigtMgxzuiR/BOQfrI3Einovej52iAgmI4thJyqhT+i47ipLaZttjtWxxcb7G2ekKq2WDttWhiCR2rzd4XSmJ7TQeF4mp8+7NAofHIxwejTE/qNFsNUwo4kSpe7PtqJmNsakg5MObj++Lc4Y8lxiNcqyW1AHv/GyF8bjE4fGYGEF5MPCekH/j5cUaV5cbFK1G2WUk6wsNhrJMwpqbN85Rinyhjp9MsNl0WC4arALDvSw1ui4LgBp5PxlDTLDbRvQPrUcZ+t5gvW5xebFBWWU4PB7jUI/hHflG5bna84n9kvghgKdoDE6HT+x53XwqsWfhsYKJBBxdf/Rw2vgAGBhH7vuZyFObehnax98m5tkh5tkhMr7PutCuD+yoNS71Oc67U5x3pwlQqmSN3Jfh81rs8F2PtSYJUwSDCMj6uP13NHnznpBcHoCTTzG/6NoxMjhPj7/ZTi0E+Y8cPJlAZSK1NjYm6HI1HeSiTGF6MEJRZnuSo+8V1++FKGdUTEGJLJiJk7m8ZLebOs+KnzBRM4gAfv6RQKf9O8/THAq+ZioY16swfxRXn733hiGZwmH2BOVHGGbXg+5bDskkBJNhzn/5td6TQnKGfHCvdtsexljkZUY+MRsyLiQZg4dQ1LEiLzPMnkxQjIrUvc04D+btno8XVwLFuMD0eIwnPx+iaXpkhcKTlwd48nKOo5dzjOY1RCZ3VabABkmyScGR1+QzpLUNlGKL0axCG95jpCh7T4bSsY31/MkE5SgPh24O5onGe/x8hn/9n19iejgK1ebyo9crLxSOns/wT//2HFxwPH35aTmGUuSnwzmxwrbrNnVqi5uolBxCCYxnNcbzGtlHmDd3GkFRwQAUwTz+yU9zom8XCptllTos1ZOSAIlfDnH0fIrxvIbK5J7ZsMoUxrMKR89nqMZFkm8dPpuiqm8mAx1eOykFqnGRjL7JTJfGue8MdEeQBQFPAkfPpvQe/3KE2eEI1bjcY2N576nrCif2x+HTKbqmB+cMq8UWq6stmk3sEEW3rZACQhGoNZnXSUYa70WpBKoReRV1ofOfdcRaivMleYl50FypFEaTMhhtZwNgjAUPpQLz4zF0Z1IHm67dyTFZNOgUHPPjMZ79fICnPx/i4MkEVQB0emvQOYPeGWjlUMxyPPlpjrxQqbNX7DDFGUv+OeUox/HLOY5fzjF7NkE1Kd5jtKlMYjSpQmXTQvcWzrqwNpB5Oo8eDZLj+S+HePbLEc2TwxHKOtvrZsfFTlbJGEPbkCy2GhWYzOt7NyAffrbk3aFAbZXBkEkJJagLVp1nuFiPsdy2WGxbdL1Bbyx6E+R3oeORtR7W0d9dlDENDjHxnqCCz7X3M/hDBH7iwWb4Zx5AQxFkHCIARoKzBB5JIZBJgVxJFJnErC4xHxG76Xha48l0hINxhUlgQRXZ7fK/uwgGuv9S16Egn/MgmfTycoNyVBDbMJdp7bRBVh3vl3gfAoOuk1noNllmyYsuGpmTP1u2V+RwziXmT2QDvNd58i7C716LTNV7NGsy8ueCoZ7QvV8Eg+E+AO1d26NvyVT8vfuGUefUnTEvealYY9E15MMogzcd4yzJiDerFtt1lxpeGPNx24z7iHhPi9AN17udkXqU9dzu+RgyLlCrDNO8QCkVCqmQc4FMSORCoBAydLj7Pjmq9x7WW9jAdupsh9a26IIdybcoiD3ESB3jnANn5IWk7qi9/ceC1lJx70ABrXNB7lUQ80b35GlKsjuHolCYzipMpxU1TAj5ZJ5LTKYVAVdNjzY0yxmPS1RVTkAJ41AZScmidK5te+q8G4y3I+OvHuWoxwV1dRUeo3GBo+MxilKF5zao6gx1naMoFPLYlEcJzOY1ulYTwzx0cs9z6lxdVVmQAVMR2xiLw6MxRuMCRZBLJ4bVKMe40ShKhcPDEcaTElIJNOHM4b1Pz19W1BWvqqg7dvr9SRmeOwsd9eg+GY0LPH02RT3KMQt5mxQcdZ3j8HAMpWS6hlmu0udUQSp4F7fbDwE8DYNd+36T39gd9D+9QRJIQwBXIUpM1AxTNUMtxxjJMSpR3+q9VnKEp8XzZAQeo3MtLvoznLZvcaUvsNBXWOorFKLESE4wlmNIpiC53AEVjMF5h9fNb3jT/o7L/oy6+H2Bcd5Nr126bkmE+vmQSmAyr+hANi6wXjXYLBv0vUleHkpJTOc1HXaPxxhPy7ujad9R+CCF9N6hkBWmaoaJmqKWY9RijFJ8/PD9oZioOY7yp++BkH+0SCCodxBMYCKnmKgZRmqCkRyhFuNbmT1yJvCseIGxmt4MsIsHkgSX3qHMiVGVNysURiCwoRoXJK0JXaq0tqnNePQlkooA1oNnEwKNQF0wqHIX3iFj8IIhqzKMGPDyvzzF+KDGX/+nBtW4QBm8jUazCkIJqtQ4OsB5+NR9BKCDhSokJocjgAH1tELX9LAhmfZuVzWKrBWpBA6eTDA/GqeDr/fEiPrpX55AKIHNqsWLvxxhMv/4OliOCrz46zGygphmk3mN8bxCWeXIPuCxI0I7WyE4nv1yiKIkxpYP7Wa982Chop6XWWIT3Wv4XacSgGE0KfH05QH+6d+e49nPHbabjsx5I3iXK4zn5O9Uj8lg/nr1nySFY2S5pANMGIvJwQjj2c1A1WHwYDQer6eQArOjMTHagkwFQPI+qsZ0WBvPKhR1jrx4/xBNMj4OlSvMn0wgpMD8eIKujZ2rTFS9ASx0ZBHka3T4dIo6gFk8mFjGAzPnDAdPJhCSY3JYp4Oi1iZpfhiQ7sOsUDh4MsVkXidvGsaI+TY/JiPlgyeTxJq1xu7m/QCAquqcZGzTEuWoQFERaNwajYVusOgboAQOXs4wn40DI7BHH7rfRSZYBL9EJpCPcxSTjAzmRxlJa4fjIjn5XAmGJ56A2MNnUwIGA3MiMqkYZ5jMaExGswpFlSUGVQwhBMazih47r+m+CRLC6eGIWk1/h5CCGFCcMygpMCpyPJ+PsW57bNoOm9DxbrXtSH4XPKDaXqPVBp026HTw8bAW2rq0JkYgyrpBSS01HrkGMPGdma0IHYVU6CqUSQEl5Q5cUhKFEihzhTKjr6rIUOf0VeYKVa5Q5RlGRYa6yFDlGXIl9sDAbxmMI3nyRYBIZQrwQLPpcHGyRF4qjKYVxrKGcw7tlgz61wuSgm83LfqOWAMAHW6yXJFBeWiYkZcKXatx9vYKo79VOHgyxcHTyT7wZENXyUaTJCsPUjcpErPhLmLP1yrIUjyQWJYqI5BNCJII953G8mKNk1eXyQfqOiBDc46aWESmFpcsSGJbAvDqHOWoSKz8Zt1hcb7GerHFdt3CGUfd+76phJQFdiQVBWzoltm3GkbbG7OvYo7BAYyzHM+rMQohEvtEBjPojAsUkuR3n7Ixuc9wcNDeoHc9trZF6zr0TsM4A/sRW5E/QxjvqKuc1pCco1IKgqmU9/3IwTiQKTrrCk6dcetRQQBryAWVErRmlRkBPiHHzHNFAEom0YfcSmtLgEyVoyhV8rIzxmE2r9C15BMlJU8AeowslxiPC6iM1t3JtIKUHLOuhg7PnWUyPH+WWJ9CMBwcjpBlBEBF82/qih26ywlO0rmW2GNVRV1/laI8eDTK6QwR9sZ4HepRjjyXEJxhMinhvU8FrCwTAYSS5FsVcoQ8p2uU5wFcC59xfkC+zV2vMZ/XKAqVOu5xwTGelukaCilQhU7ZeaES2Pe18cMBT7eKQZKCROv7+EWLSY7zDjnPMc8O8Kz4CQehc94sO7jVywsmUYoSBd8HKVrb4qI7w6/bv2GhyUy5sVs8yZ9hJEd4Uf4lGCOTXIgFdpfzFjkv0AcfKmr/frvN4bagE7sF2wmIwFONss5RTwq8e3WJdtvDNX2qlmW5wuSgxvHzGXUNqnOwe2hF/DURPbWc9yhFiYPsCE+LFzjIjjDPjjBRt5P6KEZ+WYrfsynyd45E6fYOEtRF8WnxHEf503TtbsMcZGAowhy6yX2Y7lrGibVzx5tyNGtVuUQ1KvDk5QG8c8mrxjqHXlt0hqjqMeFTSiDPJGQmYL2HNg7aupCwB/hJMGR1BlWSf8bPAJgnGrIN6VamJIQSMM7Tgc3Qv0ghqKLPGLjcVbRH0xJPfzkEgKC/H3yY5KvDUgX7+iYspMDLf36CZz8fUtvZAA58LKpRjp/+eoxnP4fXDAawCRC4NhwEVGTIcgK5nryYJ+PEYaTKr/w2h8DIZgJIMvbk5QH++l9fJGPe62a0UWoSgZ7rkq68VMhyMpCOrKGYPHyJRCV2uFOZTIysyGQb0tCBQHsPINFwLN57zlBZF5zj4HiM2QElR4mB8oHqenxuERK44efmnIGHe17mCpPDGi/s8R6jhQX+41DawwK7iUu+V5BQmcTBkzGmhzWNg/c76csHpnmSyfEd0AMArdO47Ld41yxwXI3xZDbFYVYnM+LYBet6OHj03qDzFowDucreGzshOHhBAEFZFzh8Og3X8P3rxwJ4x4IZe7x39p5PcoxmFepJQb4Q8eMGYE98p31TcI4qgDXTqsDz+RjOe/Q6AkwGl+stTpcbnC02WDYEQK2aLoBTPdZtj04btFqj0yawonwA1R0A+vuwvTNjQ1+mwGAKpuBDBlMuBwBTrlDn5N80KjJMqxyTqsCkKjANX6MyD+DVwFw5zuXr6+Y3jLjmcc4JeCoI7NGdQbNucXGyQBEOP/WkJP+SADqtlw22q5aauLQ6gdFCcmR5kIHX1B0vLxT6VuPszRVU6Jw5mpbAIM1xzqFvTTDZpzWSOr5ygN/hNRr6KgUvNO/9rvAT1j1iGwK61Vicb/Du13Ocv70i1qy7Ptd28z+CT1Gasl0T8BTBNM4ZukZjFeTuq8UW2xXJW7T+9ownHmSNXFCDnt5Sd0F7S/YVKR4Yxhnd69O8CN3I6L7IAusp4wK5+H7Akw92DY3tgkdqh9710Ne6g//ZwjqPRmss2haZEMnA+48QjLHU2KMoJOpRsc/oi+t+yGOGnsB5Qcba01lFxQtHUl0RGI5C8LBvUt4R/RW98+/lBvRekBqkAMBEluQfFQq91N03sGkDA4jWPoYsk5jPqwSWx1wv5Ydh3UzM8fD6APbe49D3MpqDew+MJ+V+PjF4jvg8yQ6BxUIcvbe4Ps/nI0ymVfJd5qF76WhMAFe8fs65wDQP+VjEUf4sjCcOAclU6MDGYDx5yGivP2k0572DcZYWLdfDfKK7HACI8Dq5KCC5AkDd3HjwRhrJyS3fN3lM8WsHYOsNtnaNhb5AYxtwxjGWE0zUDBM1x1TNUIoKhSBT9Mh4Mt5AMIHo3RQNlz8W0VdHcQUbKKq969D7jv7+iT3LeQvtyVfLOA13Q8cGZ6nitlm1WF1t0IYuRVJJFCUtLJNZhdkB0QeLioxUHxpoL0L3tUIUEEFW5wKLpwzMtNs9H4cIhu6fAkOidHLI0wNiYevbJDw+0hC+IDgYBJfIRA7rDTgEXFhBFc9Qy9FHOyl+KBhAVZ1rnmS3S/7u5uba7wrBPgiAdNqgQ4fOaHTGwAYwinfkIyIFh7EOvTHojE2yDyVF2tis86FaTwcq63zo0gJwrUnmwqJbXAxNMuRU/Y8HMgLJZNhIObudpJUxgAeJx02Ccw6ecagb4qtD/5G78gi5s4g5DycwTyhBczP8nEfAEAQOujBvPAN4ZE2FnzPsko+djMgnqSXJC6I/nN878LrwPB4IXWNYWic8AM88nAC8QJA2s/QcknNIxpPk2ngL7lmQoLPkR+bimhM+k+eAZwwA/X48jKdLM5BF0UWi/8V1KuZNyR8vPB8TPMgFyJi0EJIq7ULGp0jBwFIzhvT5OYcU8kYyEOMstLMw3sJYS9VA73DRrXHZbbDSLWqZo+cWVvr0nix3qdvTUKqrncOib7EwDbz3mPkKU1TI/c7Ly3oH7Qx6Z8ERrr8UQRYhIJm45fyjxA9fOTe00+idRh/MeW3wHwSwt8tEDmYpChQiR/aRQslw3g7fGnWFkygzCxnYUHWeYdP12HYa206j6TXaXqNJUjwDbVxK6q13qcrtohQzvW6QZXBqJCHCAUAEEE6FtVQJTgBU+CKGE32v84yYTpHtVGSoMrXHpnpIQQcIkOzi6QS//JdnWC+2YIzh9NUluqbHxbsF3v56TnliYN6ur7aAJ++2KkidwxMmQGt2OMZP//IE1jqonPxHzt9ewTuP9XKLOsiqPQBnbJDxGhQ1dawkAEiA3WH7MMYI0FKZRFHlmMxrHD2bom16bJYN/vZ/vMLl2TIASALNpsPibIW+C752krr9qVzu9hS2A3FG0wpPXx7g8l+eQmUS5+8W+O//v1+JUTwpoXJFnV5bjauzFYy2KOocUgrqjHkN7G02HdaLLdaLBqY3qfvgP/7bG5y/WwZgbI03/zglefCoQDUmQ/Z6TH8u68CcuFZYiYDiwdMpnPP0OldbnL6+glQSXaNR1FkqfoymFZm+H9Z7Uu90T3sPxQVKAUjG037jAUjOoRiH5CJ0uruzIb1VOHh0rsfGbLDSG7SuS+DYnzmsd+iswVr3UI5yu1wQiybu3UMvpYe2jn0qhrm1ZxyM+zAPdjnScG3es8BI+TjgHE/eUxGcGhavvPfwgu9ZBnysEBeD9l/6XeEof4vv5fp+wbnYvY7fveZd7S1CAIB4rxh4m+cXkkF8wO5EiF0u6qWHc+Kjn/Nr48cAnhiH5AQ8sQA8Nbah9vSf6LTm4RNI1dkO1mv4TwAonAlkPEcpKkgmg7FdA+sMGNhHk7CPByPX/msHX+MNWttgaZbw3gXAaYbD/BgzNcdYTpKPEGc8wQDU4ctQEmk7GGk+CbxRVz+JjOfJoLm1LTrbwniNT4EL1lto11H3PP/p67z3e8Zhtdji7O0Cq6st2oYo3lkmk+xhFDb46PtyXa7wEEIwiVzkKEQFwQRsGDPrbTCwvt29QCwc8XnWDgMlcR942F3ZPTMweObB/J4I9U5ehYNDMYWCl7AigJ22hXYdAEAxdetrx8N/P0IY68h4d7XBuu3QafI4YQwJeNLGpSp/riSqUJWPfija2HRgykJ3st2aT38QjKXHMAbo8LsxgZSCo8wURkUGwXM6+H+EGfIYn4ropUWgxbBCTGAyJUc6gCmMsZS8e++hvYVxbgACERBrHR3+ZXgsGIN2jnyHnIMMj+egnxtn4RCr0uS/YcP7st6Td4536bt1DpILlEKikBLORyDGUbcZIZExkcxCraf3GPer+LwegOL+g54fLry+B8D9rhKWKove0Wf1PoFwHsBG91jrHhvdYZIXmGYFZDgkscHzRHqPCZ/Lg95HFq7X58J4h8b22JgerdVorEZrNVa6xUo32Jgufa1Nho3usDYdWqtRCoVCKORiJ3Vvrca7domTZgkHj2duCg+glnkCRDqrsTYd1qaFZAKFUCiFQiUzVDIn34jvEL3TWOk11mZNAJTX0MHLMnpyRZBQMIGDbIaDbH77tZoxOggxYFQVkEGGF9mZOsiQTWB8Rq8n6wb3iI/3z77MDgDtj9glwgnQZe/7OskARkU/p+hFpSQxoyK4n0nxQTbmQ4l4sMrLDMcv5viX//klzt9cYbNqcPL7BU5+v0BWBClEIaFyhSxXWF1twAXD/HiM0aza74bKiI06Ox7jn/7tBaq6wPJyjcXlBhfvllhebPDbv79LLbzj5hFZk4dPpxCSY3owQl4qfJR2+EWfl0CxrCQ/p/nxGE9/PsTlCRn//x//n7+R1C50iYxeczLIxrNcoahzZOExex+aAePQ5KNvSZZz/voKp79fIitU+lKBqdm3mjpPTkvkZRa8Sfdzke26xdt/nOPV306oiUDwcnv7j3Oc/H6BrtW4eLeAEBzbVRv8s3JU4wJPgwfd0bMp8jJDXu4XtKQiqe2Tn+bwzqPbkgRwdbXF+mqDV387QZZJ8MDi+umvx/inf3uB8az6qAGwYByZIBA/Nn/xAATiPOKpuPE9wnmHzvZYmQ1WZo3WPgJPALEAO2ux0T2kpTwgEwKZE6kgFX2fvpc/111F9FgMfws/u8nv0eOvs3w+9Biw23cXp33Cf/S5r78OgVT3s7ekz4GbXZvbPTdL68d9vPcfAngi9gkxkRhjgYa5Re96WHwcEKEKL7F2iLnzaWO61MlNVhBMwnmLxm6pIxw4FLsbmZT1Bq1rsNIL5DxHznMcBjnfVM0xUmNwDDdMEn55OFhvoEPHu9gx72PBwCEC8NS5jhb0G14LC2KKtY4APntD4MkYi/WiwembKywvt6nKX40kpvMKT17MQxtv0qVel6Q8lKDrVqAMwJPxFq1rEgPuru6FYcRFcMd4GkYcrbsDn3aIE0uvHp/7S1+FMQ7FSVaofQ8A6FwH7ciYWAaj8T9qGOewbnucLTe42GyptXinATAoSYegXttQ9TeoiwyTKsekzNH0BtvABiiCB0mhyMtChsOVDR4ognNMSpKMCM6wCfIV63w4aHFMSmqDW2YK0vP72UH+BBEPxNYR+GRCGzbFAQRAr3cWnTU0hwSx85z36C39XHCODGRcS6wYAqoiiMI9g3EWnTForUHGqaIpGENnDTpL0k0niRkkOE9Ak/bkk9MHho+29Ny5kHAqT/cNPY9BLiRKEHhpAiuYwC4OyYgpFT+n9wDD+7ILKoQMfHjYbseKLK8hEBaZKw4ea93hvG1w0W1hPAFhtcrSKrTH9PQgJpK1aV2UfH93/FgYZ7E1PRb9FkvdYm1arAKw1FmNzhpsDAFglchw0W9w0a2x0i0mqsRYFahkTkkYGLa2w9tmgV8356mzUiEUPHZtpDe6w0W/xkW3geIC4/A8Hh6SCZQi+y7Hud71WJs1zroLNK5FY1u0tksHzcguc3BQjO7fWtYY3/J1GGOQgkCfTEmMi3y3lyQMKXrM7X7v47vNx/7l/av43k9S/Wbwfxb/iQ3+/QcIRh5Pxz/NoYKh7L//b7/j5NUllhdrkkc4h3pcYnY8xuyIuqNyzjE/nmA8rZAFX7d4NeK/FWWG+fEEf/vfX2F5ucXlyRKbZUPdJxs96NIqQie5Aj//61NMDkf46a8mVN7v9rNGv7d6XGJ+PMHTlwcwvcHZ2wX+9vYVulYn0Gl2NMaTl3M8eXkAqcgwvahyZLmCFBzDUWaMfNVe/PUJGOf4x397g7f/OMPb386T5DUrFGZHY8yORsgKBec8RtPg3zcq3mM6b1ct3vx6hv/r//sPXJ2tydR9wIIiRtoS23WHk1cXBG7lCtW4xL/+Lz9DCI6yzgDGIJXcYwtLJTCaVeCcmoWcvLrAdt3i8mRJDXsMtYKXmYBSEttVi/Gsxi//wzPgI6ukYOxWPpvfOuic0mGlN1iZTTq7/NnDeo/OWGx6DcEt8sB4Ms5RUYvzxHr/IQ72n4khsHLXv3efz/3+4+8v7vP57/O5f4j7M+M5xmqKg+wI1lt0roPpzzFRU0zUFDkvUhcrxhiMMzBe46q/wKK/xFIvsLVrkoxdW8CGx/tcFJhmczwtfkJrt9Cux1V/gXN1ipGcoBAFdekKHbqS/Ml7WFhYb/eenzNq7Z7xHGKwCTBwCIjU6t14ja1do7HbBAoxZlM1InpArc0S5/0pGrtJQNSnQjCBStTJm8p6i5Ve0PWUM4zVFLUYQXAJyWTq4mYcXbulvsJKL2G8hvHmRqwTIckb4OjZDGWdJ62oVAJdo3H69gpKyeBPwVDWOUaTEvWk+Goq387Yegeb+L1/+3QM74VClMHj60WQanZ0L8hTjOQYgsnQsY2YaQkW8tSRw2H/XiAgK0usvU++j5AYyPB45x02Zo0rfQ7JJHJevFeJTl3NwBA9wT53PaMUM8pYXbjXLvszCAjkPH/Pn+z916HvMSSTGMkJjvKnEEygdz02ZoWL/pzut3aEkRyna4cB3OW8Dd1M9kFOmkPZDwFYxQq8DNV1Iz2y4DeRWnEz+l4EYKnMFFXkpUcW5CaR6u4DO4YAgHhqIgPGXEnUeQYleaJWt6HbTasNMqlhnMOw69N9hLYW215j2/cw1icGQhY9VyR14SMTYUseMNqgNQZFYHxVmSIpUrhuDyU8AO0dGmOw1B3WusNa9zDOoZTEZhGcwQRWEhiDZByKiyRtI7+anTeNi2wg70PCKCAZpxU9UMAFY1ABLOxDlVM7C+MUrCLp3lr3WOsOOjCnBCcvgwj4SL4zYrXeobUGq76D4D2kFuE9uiTlu/65vaf2uROVY5oV4f3TfWidC8ylDsa7wP5iqU0yZwyN1ek9FkJhnOWYqBySC3BGz98Yg6uOOhmKIJ1igeVFIBoBd60zEGA4LCocFjVqtXsvH1vnjHfY2h5X/RYWHqXIUMscS91i0W+hnQUCQKZ98GRj1AVXe4u1oc9Wy5y+WI5KZKhEBuc9KpGjFjkKoWj8vQXx0ug6eACt7YNEm6MUGe6SGXKbUEyhkhXm3kIYkXxUSFJXIOcZWtehtdRZV4CHlXl3X9ykOrwngdj/32N8Qex1FZScpGcHHkYfEJO8UNiumgQ8FVVOkrFpCed8aGJgMDsa4+DJFLOjMapJSab0AeApKvL1ePLygECWWUVG+5sefacT44lLjjwwq45ezHD0fEZG+tc8UmJIJVHWObzzeP6XowTg/NO/vcD0cHSjz6xyifnxGC//9SnKOsfxTwdYXKyhe5M8zuopdcGcH42xfdpidjTCs1+O8PN/eYqDZ9OBJww9Z1FTowcgdGGelHj2lyP6d8YgM5lY+SqXdA17g7zKcPB0isOn08SA4pzT+3oxR7vtsFm26FsdTNh7dNsebdNTN9Sc2GgRVMvLDM//ckTdZGvqTBg7T8XgnCHLFPzI4+CYZJacMayutrtmBcF0XUiBn//1KWZH4z2Z3ceu7UMNB4fW9liZNVaaGE/uEwSDP0twxqAEJwYzqKi17FpIvmM8jbMMyIH8AeVQt42vuUc/e+a5x+e+q9f53s//LdaIHwJ4ynmBiZzhKHuCK32Bq568kcZqgpGcIOM5Cl4gFyU4OFrXoLUNLvozXOpzLM0VNmZ9o9eZqQM8L37CafcOZ907XOpz1N0oye9qOUIlR3vt3Z135J3kgncSKGFTLMNYTSCY2KswECVSIWM5PBxVI/USGzkhaZvrwRiDDx32rvoLXOoznHdnOOveYWs3N/K4ie+XADuDq/4CK7MAA3lKjeUYWvXIeYFClOiDtC5euytNj49xE2+eaC4ulUCz6VNHpK7VaLYdFqE6F9/+4ZMJnr6coxzlH6UGfy6SlwiuV94G/3K9xPqZKEWJeXaIznU4697hrFtjrZeoZI1CkNF1JUeo5Qg5L8Kr+XQvaNfBBADFw6Pg5BEmGbX2/FjE5D6y/MgryWJj1rjozkgKKivkotj7DQKa6NAkIBJA9LnX4QEAzUUO7z22ZoPz7gyKZShFhUqO9n4nvg5nHAISjIm9V5FcYawmeFI8A+Bx1p3g0qzgAZSiQsZzTNU8zaMIZnr4wOQjkC+OHAMLnR4nP4QxOwsSqUxKFIp84uL1ibKPYUSgRQ1bqLOdTxMDg/ce5Avrk4G4EgJlpjAuc+RK7ro6NR1W0bRXCtgIPH1Gx/41oa3D1bbB6WqD1hiSFHKOOs8wKYlxY5zDuuux6XpcNS0utw0utw0OqhLH4xrHo5q6TEE9LODJexhn0VqNZd/itNngpNmgsxrjrMBE5ciFTOtPvMJD9qIPcjMbZG3AjmMYJUMcDHnwO8qFINAJO8bPxvRojE7sIQePk2aD02YN4x0mWYFJlkMFid8QTGKMkTGp0VjqNr2HfWYlMa5MkOlF/5ycS/jSJ4kfwBIjaq07nLUbtNYk4CtK4TIhsOo7nLRrnDYbHBYVJJ/hqKiQcZEYVJ0l4KkxGir4IHHGsDE9trrHxmi0RqMJLDDjXeq6FN/Lx+7qyHi60luUIsNBXuMgq3HarakIY8gwOEofAfI9yQSBhhvToXMmjUvJVGBClXDeYaxyjFSOUmTYokdvTPLWyoQK943B1vbIhMTUlXfCVv2SyITCGCPqqsp4KuCN5QizbIqRrLHQKyz1Ep3rIbncKyg8xvcPLshgnLqccRR1jic/HZC3kd+xkkhqJ4lh6Byc9SiqLLCV8mRQDgBChVyBMzz9+QD1pMTzfzpKgFU0JI8gdOwIV48LTA9HKKosmOZ+CHgSKEcFZEaFxslBjZf/8gQHT6eYHd3MI1NlErPjMWQmcfh0iq7pg2+oT/4sWa7IKL3KoXuDZtOh3XaYHIxw+GQa9r7dcxYVsRiLMsN4VuHZL4dotx0iBY5zjqygVuVc8GRGLKVAOYpdALNkRF6NCupwOyqgex2a6NjUYcpqm8ZMCA4W5IpSCepGOKtQjQtqXHItP2CcQQVlwDx0Bp0/mZAEMBokMyS21uSgxvzJ5MF1ib5N7DOeHqV2MThjyLhAqRQ6Q5L8RddRLhFyCOc9MiGBh58qP8afOH4M4EkUmKgpevc0sII6XPZnGMsJRnKMnOeo5RgjbyGYwMqsiB3UnRLYoq+wtRsopoJp+EdeJwBPANDaBqftG1zpi3Rg5uCYZQd78j4CG0iSR6BRlw4hBS8hudwDqQBiPBFzJQ8gRY+VWWJs1sS08h3gEA4ZFlf6Am+bV3jTvkpd8HbK7E9JByUqMcI8O0RrG1z1l1jpJayzGKsxRnIM6y1qOYKHR2sbrMwSa7PEZX+Ghb7C2iwhmQqdyG4APEkyD5/MKvSdCd1Vtrg4XWFxscbpmytqgW2pa0nb9KhGOZ7+NP/sc38KbPMDOeKwShsr9x5uZ3j7kecZJk8FrzBXRwAYtmYN4wwu9TmKrkQWmDez7IA63wmX3oNxBq3donFbGKfTKNViBMkVKny+0kdMJGJI5byAg8XGrAAApawwlhNUok6PpU2HwE3PJMDJr+xzrwMEgCu8jocnULN3KEWFkZpgbKe71wHJMghIlWAccOAY5jiSKYzlBC630E7jsj/Hxq7QuRY5zyGZDB1KSH5GZvk0MAQYb8P9jSBhIRlIIQoA9Uc/00MJFnT2mRQolExsIwCp9feuC9O+DABhLGOnqsg4cA7EegJC1yVASY4ykxiXOcqMWDeCcTjnsek1emPRhVa0nOFeu19pa3HVtHh1tcSm75GHFuazqgRjDKUi/6pV2+Fi0+Dtco03iyVeL1b4aTaBcS6AGuSDVX7m9b5ZhAq4do5Am77Du+0a/1hfYqN7HBQVDosKtcz2zLddMApnCCAiY+idRWMMWquTl5JM/n20RsyyArOsgGQFHN+tYr2ziTkUJWvaWbzdrvDr+grWOzwrx+BgqFSGncV3MLZE8DsyGou+Q2dNkuUJxiAZVUxba9AajS5IADMhUMsMmRAEsjgHxjkYI6BmrXucNRusTU/GtKEbUhWYYBfdFq/WS/y6vkJnLQ6LGhmX1JEnGOS31qAxZIwfpQOCcVx1DS77BosASm2NJoaZlDgua0xdAXAOzj7OINLeEfDUN1CFxEgW+KmifWalmwR+We9JPokwd71M3k+MMRxk9L5LkWGsCoxVEYCnAiNZIOMCvTPJw4qYzsQgJjlfh0rk6N3368pEbNsMYxDzubUt1nyDsRrhKD/AQTZPvpYwG/KXfGQqPagQgkNUGYoqC74/t+uy/KGQUgBSICsU6kmJpz/fwRsNoQZNKaYHH897Pvcc8+MJ5se3a+byqYgAHI5uKyT9cFTjAtW4wPO/HN3J8w2Dcw6ec6ic2GMHT+7uOjykGObkznu0tsN6yHh6BJ4C40mgkgrWEQu70TowdWmtlpxjkt+8ec9jPMb3iB8DeOI5JoqMPBu7ReuoUsm5wEJfwXiDnBfIeU7eTEH21rsWhShxnD/HyG6hPXW3+1hEkMjD4zh/hj4YIheiBMBwpS/RugaX/TkykSfMhyraFtabcEguiX31AWNxgIC0eXaEl9U/YW2W6AJb6qo/BwOwMkuwJGvzwWfKYiTHAMj8s7MtRnIM+QkWiGAClawx94fQTqO1DTrXwnuP3vV4277GQl8i43kCHkguaAEwTNUMHBzaExPlphFbUhttqBPJqsVm1aLd9ug7kgLF9plKiRt3s4rAyNassbVb9I6M0nvXQQez1IW+xLv2DTrbwMHjvDvB35jCRX+GUlQoZQnFMkiuAiNsjImcYqyme2OV8Qy1rOHh8bR4Ae165KJAwQs4OFz252jsBhf9KTFx9u4FAxtAUPqdj98LH4tajnCcP08m+sbT+J11JzBO47R7l55T8Qy1IAZRLUYoZQ3B5I10/KWocJQ9wS/Vv6ALfl697XDRnyaWHAFb5BdWh9eo5AiVqFEKATlYRgTjKAQxAg6zFm25hYODcRo5L7C1G9jOYqmvcCJeU1U9XLs4hxwscl6iECVKUYXK+49xCJKcoy4yHLoadZ5B2yDB8kjtuQWjiqdIiB19N9bCBH+e4aeNvk7EeCI2UZkpTKoCKnTosKFTnvUOuRSY1SXqIkOZqXs3mnTeozdRbkdd9wpGydHVtqEOftpi2bZYtpREHo9qHNQV8mD++m5FjNRcSqD4PolTlCzkZYaf/vkY/8//93/B8S8HOPqvx+BjhauuQWNJeiK5QCEkKpkhFxK9NdgGj6dcSJRCwcGhtxaN0YlJRAw2YtlobxMzkQdPqM5abI1OAKRgDFujsdE9VgF40s7Ceo/WGmI5MJ4An5wLdM6gtyZ0Y5UoA7izMZqkcW7Xzcx7wMIhdh9XnEChCBBVUiXjb+s9uPcQwTAzEwKlyuizBT+rKDlsucGy79A7i2hc3VtDBt49fa36Ls0HwTgBYsHLqbPUFa6SChkXqFSGSipMsiKAUxHo+/i9TR02OTIuYL3DQjd43Sxw1m2wMT11CXIG68B8sj4atNsBM21nvh0fowNoR4BYh54LLHWDy57YX7vnIXbaQ1ObSUYy6kpUsN7iql+Ggx51kLobF8HHeIzHeIzbB7Exe6zNFmuzRRc6cf7ZY8+SFVSM1KFxieIcuRAopEz79WM8xkONHwJ4yniBsQQUz9EFVhF1GdJY6ktc9mfUiQHU/S7nBXJRQAZD8ieiQmcbXOlLLPTlR1+HfBBqKJ7BOE2HCF6gsRts7RYLfYHL3iV2zUAwkeR0hSgxUwdQPEsskeuAQ84LHGRHcN7hvD8h36ZuE6RtS7xufgNnIvhlCBThED6Sk8BQIaZUKapP+t4Q46lOHkSda9F7kvX1rsO79nWoyvNQpaXrlvMCHBxTNcdUHWARrltrm88Plge887DWQ/cWXQCetqsWzaZPFGGVSWrzrsSNacEeDhuzwmn3DhfdKZZmgWVgs0Wwp7UtVvoKrWvh4XHWvUNrG+SigOIqdFUjaWEhSjzJn+On8mfUcrwngVOBnSSZgnY9OBhqOcLWbMgHSZ/D90OGFd0LnDEIECOolBVm6hB5VgQg8ebQUyVGeFI8AwNw0Z/hoj/D0l5Bdz0u+/N0v9E9V+EwO8Zh9gQ+8+GeKQB8nN0XoxQVjvIncHC46E5x0Z9ha9a46M+w0JfpNTgTyFiOw5xeZ+5d6O6XY8iEi/drbD3v4aCYwsossbUbbOwaS3MVumHt+4fwwWeaqUNwJlDLEW4H2X3fkIJjVJDvkgkU/aF/TpRWRXo0EJMJFh7r3vfb8T4AA57mKg9af0WyNOvokNsbC+s8ciVTG/Myk/dOu48m2pu+R6NNAruMdbgyLS42DRqtEzA1LYskr1t3Ha62LU6WaxRSYloWn3/BewouGMA4cij89NdjlHWOvyxeoBsztCOWJGEO5M2UC4lakjdVaw22uk9gTyVlYDmRz1GUYAlGfCQburQJRqagnHECbxwBTzx0zJOcE/BkCKgxjloqewCt0QAIBMsDSCQ4R+fIoBxgKIVEKxUaq7E1xJoCYuc9vvdeeOiwFyV2uZAow+cDCHQRniEamCpOr6nDe+6MCf4cHILR62lrwRkBXL21WBsC0OirRRZehwmWPMDMoMNeLbOUaNcyI2kjJ2np59YFFvy2Mi5hncOyb2AdAVAb08E5j9bSPm8CQBbnZOzWF5P9iN3SGBGw19geG9uDW4ZF3+Cq3xLQxgj0snGNS8DVw1jFqCCSoRJlAOSWuOh3/nrUSfcRfHqMx3iMbxux+N0FIHxtNuhc/yi1CxFzxyjf19ZSd07BUWXqEXh6jB8ifgzgSWTIRIbKj0jO5qnL2nl/gqW+wkJfwgVjb8kVZmqOaTbHRM6JzSKnQQJHch46SPP3zHYlV5BQKAWliIpnGMkx3rav0LevsTEbNHaTTMCpMwqBTgUvkPMSEzVFEVhTgokPat9znmOWHSITBTjj5KmEU6zNKnksRcNvxRWe5M+RiwLj6GclKhivwSECaBQ+z7XXEVyg5BVKVABDMC6nFsrn3Qmu9Dm6YNznvMNYTjDNCGyaqCnGchZ8iWQwGNfhun08gfYg9oXRFn1HjKdm06HZ9tA9sZ04Z2SuGFrXCvnh6/Tec3uPrd3isj/Hm/YVgXbdCZZmEfyw3rcQX5llYJDtjLELUaIWY9SSqNZTNcN1o/Zofl36Mo1ZHe6Ftm2xMatg+r4hT65wL0gmA1BYYOoPUIkRotnsbZgnlaxxhCfJP2pr17jsDTZuHZhJOhnqj+SY7n2WJZaQ+4zxfIxClDjIjgLYyNDYLc7hsdVLdK5B5zpIRvdiLsrA5FLIRYlSlO+9jmACQgjkKBLrqhI1Tru3iWG30ss0jzx8GpecFwlkzXmBiZ/s5uoHDm3pUIhoki7hmIVgcvA73/awRx3lMtSfENkPze+BgS/QB+6PSEG//vjhY01P7cijWXKuJPJg2k0g0P0mIj4wnhpN1G/riuDr5LFsiOXUaAImWm0wyjMcVCX+x6dH+O3iCotti7P1FvOqRG++j4koC+bsnJP85PlfjvD8L0forMHfl5f4++oS6+0K2jkIEOhSCoVaZhCcYdmTJE6ErnClVGCWABcCgZBkZC4kjc57CIYA+PAAgDh0ID+jXojUja4NXw4+MZaM94FhSABRpRQYGNa6h3YOjFl0zqKzNnXXa42hlsuCQCbrHCx8MDonwCkLkrdcSBRSDoAnWiUJpGKBEZWFjn42eHNYIEjRe2vh4FN75yj3i1+tMWCSnoeBfMCa0G2ulhlyGYEvkvFVKhswnj4vBCNwTCIPfksb02NrerRWo7cmeF85tCBGmmTkMSWiNJYxCB72WESfGB9M4x364P0FABvTBTNyCxWeJzRd3hmuPyDgKeMZSlFgaVZY6TXWdgMV8o1C7MDfHwfyf4zHeIwfOaJHamQ8bcwWG7N9r0j5Z46UD/od+1b5wIKXCrnc+SfGx/4IhvI/ctzEb/lbx3VL4y+/BXa/eJe30Q8BPMUgQ+cah9kxBBOYqhmO82fU5S20Ao4H3UrWKEWNUlQoOAE1sVNZLcc4zI4h2ccZIZIrVKIO6DJQiArz7BC969G7Dsbr9J4Y41BMEVDBK0yzGSZqjrGcoBTVe5InzgRyTh1uDrJjAB6VrNHaFtqRHDACSvQ555ioGcZyAu0IALJBphFZJxM5+6T5csYyTNQMzpN/z2F2hJV5OfAhcih4tXfd6NqVUFxirCbYmg1+Kn5BLT6ujbfGYbNqsV402KxbanurBKYHNUaTAk9ezMAFDx0+JGaHI4xu2NGOMY6RGOE4fwbFFA6yIzwvXu48r/ynPK/iwYGkaQQUFjjKn2Kq5p/o2MeQ8SyZbDMwlKLGUf4kGWEbb9K/8WAKrniGStTEGsvmwYusvDEIEAEsKOBp8ZwA1eyQ7g+vYb2BCMBjwUvMsgPMskNM5AylrCDYzaZ2BJQA4Ch/Bs4ExmqaXocATh7MzrP0OlM1RyVHkJ94HRE+g5fEHlA8w1hO0bomeZtFg2OEf4/XLt7zUzVDFfyxro8LddUDSlnjefkzjKPui0+LFzjIjlHLEXmzPcCNN64rN31nn3q84BxVruB8CWNd8pDKJDGfvsXHp0M6S0lP7GK37TUWTYttT8BTbyzWHQFROkizIgjjPB5cgskZwyTL8bweo5QKvd15I83zEvOiJEkX46gV3WvTrMA0Kygp5ALjjBiBiguoQfc6613qaCf5rhvcEEzijMH6MTIusC01dcFjHGBI7yUXEkdFjUlWJFCyEFT5HKkMI5VDMFr/oh9VJmJXu/heCCCSXND30JlPCZHeSy7ovXKQCW8pFFxGgFUpFKZZEbySKIxz0MFPapIVOCwqTBSBGoJzjLMcWfCFyoJEsBt8pgiCRSleLiRGKoe6YUU35xKzrETsDBlDO4veGWhn0/Um6R5PIJEN8kHBOA7yGrlQkIxjntX4S30I7SzmeY2pKsFAXQgrmRErLDxPHGPrPeZZhZH6fEfTbx07j8Ad0yt2531YM/ExHuMx/qjh4dE7TY2WzBatbWE8MWh3frZ/7hh2pt3qoBwJRaHOGCy6NhVovk/v1D9neB9UCaGzqHOUbwjOU/d25z28C0U7zhLxJT7W+9D1OKgTvI/nWfoZ58GiwdPzx8dyzuGcI89kG+aK3/2+o6Samk4o6hqdVBjeJ/sPAOnnDOQtJ8T75Jy7ih8PeBI1RCYwkmP0eZ8OyAhslwgCRQ8fyRQkJ9NM6lLWQjFiMn0KeFJMgQXZXS7oYN/bDhY2sauG7yuyjlK7e5Ej4zkUU+8ZPQtGYJFgEiIXqGSFo/wpLbTewnqH6PvBArCUh5byDtTpzsElGV+UVmWfAJ4UzzFVM+S8wDwAGFGyCNCEkEyG6za8fhIjNab35zRGchy8pj4cxjisly3O3i3RbDpwwVJb3bxQyAtqJxu7fORFhrLKPtiO90PjX8sxBJeYBHCkD/5H8TN8an+K4BYHT4yyUlSoxOiTHXwUz1AzTlViWWOeHUG7jqQJsHuI987om0OyDLnIkYWxUVyBfRTg2g/JFJhgaTwmao7ONclwPnWkYiwAPNTVMQv3yU38nQBixRUoiD0VAManxQu6x8O9tjuccOSiDK9VQPHsk3MoSk8lJ3BrIqd4kj8f3Of77JY4hwQEMpEn3zYZJJLXI5qdV6LGi+JnMjX3jjrmiRq5INbVTa/5t47brukfe7zgDFWm0qbCo5cUD0yae0ae4lolggwQoCSptxbbvseyabHpe3TGEvDU9mh6AqGMI++jD7EVH0IIxjDOCgguMM+rJIVkYCikRCFoC61VhsOCZFYRNHHeY5zlOLZkih+vkQ9d6VKywYbd2QggIvYNbfyZEATquFBsSOAegRqScZSBHQQAuVCYqCIBTFnwo6pVhuNiBMaQAJbr7yUCMDsQjCXJX/wdxhgEgEJKCE7srmlG1dehTNTBJ/loJuQegDVWOZ6UowT6CM4DCLn7TDImaAGuEcHHQglxo7lDwFOFQmSBZejDdQtA52APZQzpdVi4LlFSWAqFnFOjAAKhJKz3KASZqANAKTPMsgreY/Acu66G8bEP6TAQr0cQiQMI95Szgcn68ObjYzzGY/zxIvrObk2DjdmgtV3IEx/ZTjGs9+iMwarrsTXRazJ0hzUW2rlQHCuStP8h7Td/1PCxY7H1MMZCawtjLFQAe7wUcDYCTOTTKgQ1G4qPdd5T8whBJSDrKHdiLKgoJBUJrXEw1lJuLwU1erEevTboe5M6xrvg+2qtg3ceZalQlhlYLvd+zsNrAiClkgn+ywr32gn7hwCe0vRhSEyc+44ouytEiTHutpMED545CiR1mqr5nT5/jOGyozh1phvJ++2K4Sx1qltebdBue2rjW2UoygyzoxFmh6PU6QTYSVxucn9zxlHJGtU37G7GGINiGRSyb3LfxZBcQkIiBxmN31cIJiGERIb8zq/rUHZ31yM2NPwV0a8Lz+74Ve4nbrOY3+SxgnOIjKO4gafXfQRj0XOKwJZomu68T2bTxhLAFAGpzpjAgiLgVgTGz0NLlRjjqFWGWu2D+sN3eV0OufdvH/udT/x831uIYaTy937nU++lku//G/uIF+CHZJ83uz8ZckEspL3nu8F7vH4t4/u4/vuful43eY+ZkMiExER9Xt56E0mr9x5TVWKiyg8+R3zMTWW03yuipMWF4gV1UN2tHQ9JFvgYj/EYf/xwgfG0sVuszAaN66CdeQSdBkGNRVxqwhGLNs57dM7BGYc2N9D2+9gV/FnD+8Bcsg59b9B1Bl2nkWUSWSahlAtgD7GQlHLUVIsx9NpCh+7TMoJAjMEFcIhAIA4Z/GK1JmBLSo4sk8i9hDY2vSYxqAi0MoZALe/odWMOYqyDNRbOeUjJIQSpIowh4CkWrp0U91ay/yGAp8f4cYILhqJQGE8rwAN9p7FZNtiuycxVCJow1nk466AyibxUKIoMj7nuYzzGjxeZ4JjXFX45mGHT9QSEcQaeM7ycT3E0qtAbC20dtLUYFTmMs/jPswtKoATHs+kYs6pErn7sLen6EvYxieSnpJNfuwzepYzzW8eXXK+vfe4vfczXPMf3DOr426OxDQTjmKox5tk0/btgAhM1+SSD+jEe4zEe467Cw4VOdhuszBqtbR872V0LYjYrTPMCnHVojcFGhw64jJEMn9OfH+re84eMyIthBOq0rcZ60xLQw/YJIIwBSgpIRd2DiSkVmhAFgCgVr0ISERnZxhCw1fcGKpOoAouJ81CwZUhsJmPcnvRvs+3Qdhqc891r+B2rKcr5BKfzuZKCELV7ih87y3+MBxecc+RlhtG0hO4N1ssG5+8WyIsthOAoqgxZJqG1gektyjoHUCHP1YNjOzzGYzzG50NJgYOqhGAMm16j1RqN1iiYxGFdoVAS3iMxn9Zdj1XX4W/nl6gyhVGe4flkhFlZoJA/7pb0sdXrNj+/qxXwrmSc3yNuex3v4rnv+jEP6XpeD+vpkNfYBhM1wVSOMRqwajkjX8PsPV+9x3iMx3iMuw/nPTrbY2U2WOo1Wtu9Z8XwZw/BOSqlMMsLWOfQBOBJBrl7ksMHMOEh70F/pBgyo61xaNoeq1ULbSy0cbBBGicEJ4mcElByJ3EDSFoX2VLOOXA+sK0IbKleE6upaw3yQmJcFxiNCpSlQpErFIUiqZ+x0Dq0gQl+T12nSdZnXbJLYCz4UwEQgqEsMhSFAhiQ5/JeTdN/3Cz/MR5kMEasJykFOGcwxmK77qB7g826RbNuoZVA12h0rYa1DnmhBmZq8Xkel83HeIwfISTnqLMMknNkssPFxmPbaTDBUGcZ5nVJhs3Bz+ndao1V12PZdsikQKkUjsc1JkWOXN7Mm+xbxY1AiG+0Vt3He7nr9/6lz3bvPmSfef6bNbe4m8d873DewXiL3pE3ouIKtSwRR2/Xie9heuM9xmM8xh8rPDw612FtNliaNVrXPgJP14K6tAoUkiTkHJRTcSaC/6GEYAzWeTSaGpEIzjHMqH6E/elHiyGDSBuLttVYbTr0nUHXa/TaIlMCSkoy+JbkzyTEbiysdWgajabtYa2DEPQ4732SwBEwpdF1BkWh0PcWvbYY6xxu5MElTxI9F/ykSAbosG16bLc9us5ACA4ugpwueEIpxcmEXIo9v4dHc/HH+CHCGofNssXFyRKLiw0YY5gfjZAVCmWVwXugaw2abYftuoOQAuMZmaIxfn83+mM8xmPcT1jn0VmDTd9j0bQ432xxutrAw+Ni26BeKrDgRRDN6utM4X98eoRJkWNWFpgWBQolIcXDAp4e4zH+aBG72AlwtLbFRX+JrW2oSQAYBBOoZYVaVihE8b3f7mM8xmP8wcP5gdROr9DYDvZRarcXzjv01mBrNIyzyITAvCyRCUHda7MMDsB5s8Wy7zDNc0zzAtOc1vDHo9X9hPPkp9T3BDoRyNMBIAVQWXAoJQl8UiJJ7RgDus6gDWCS1jbJ7hhzMMYnGVyWERCV5xLOOkgpkOUSQjC4AeAlOIMQAkrJBFJFthP5PNH79cbDsSizI9VCUSiMRznqOkeWy3stPD0CT49xp2GNw2bV4vzdEutlg6yQmB+NkZcZioq6C/WdwXbTY71soHKJvtNEL/QcsavTYzzGY/wY4UK3lXXX42rb4mKzxclqjc6E7huB+h21688mI7ycT/HzfIpCKeq8JgUEZ6lLy2M8xmPcTzAgdC4UaG2HxrZk8B9YThlTOMwPobh6BJ4e4zEe497Dg7raJcbTo9TuvbDeo7MWG91DO4dMCsxFgVxIVEqhUgpbrXHRNFjrHi9GYwjGMc5y8MdD1b0FGXk7ApFajabV2Gx75Jkgg3ElB98JfJJKEAmjI3nddtsnnyeiGzk4xyAETwypaPq934yL8mqtLRg0ikJBKY4iJ9mdtQ5ta2Ccg/PYFYAdtd+VQoAxkv+VhcJolGNU58SKukGn+S+NR+DpBrHreOND2+9d++/Y7nP4b8M2ylFnGX9/+P1DbZD2jMgSCMN2/4XOTzz8Obab5oyDg4cFZtcW+luHcw59q7FeNtiuW2T5CEXoascFJ8pgq9FuO2xWLco6D2jsN3+rn4zYftuHttux/fbw7z793affAQbje+3Pg4bp9KcPjCWNYdBqY1/u8EiTvftI4xw7PX1wnD18mucYSEJ3o3uTcaZ5ytK4pq/w94fYAesm4bxD2xssmxbLtkOrza5lvbXQdn9yM8YwKXK8mE4gxY8PNF3fH+i+CV8fWit82hnS730ohvcRsOvkGPeBtG6Ap+/UGfD9DoE/2j11FzGUbqc1PIzJh9bx9J///NgA1+b5B8eGg8e9eTDvh+P5PYKDQzIBxSQa16K1LVrXQYDAqIJnqGQF4813eX83if3x8nvjO8zL3OBxcd4BHx/fOIZAnG+gHTqMaVyzxWAN/7PPs7uOYYfJuPe6ve/v5967+wGDcb423h9pmfnhdTZl0Wkt/dBaG8f/e8/pHyX25tvgnKSdQWNJarc2G3Sug8Uj42kY1NXOojUEJCjBIYVEJkQo2DEY57A1Gou2xSTL0RgD7XYd8MQDuj+H+/Ow02rMnT62jtPv7edQH4rdvA5/i+etmCN94NwV9+n0HDe9XsENnHMGKTgyJVAUGcpCoSwUMZ6yKLUTUIrDOfJe2jY9hORglphODAwigE1KcqgAWknJIQX9PHbRs9aBcZaAosiKKkuFXhMQJiWHAIP3At771NgLADGwlEAdus+XZfB5uud4BJ5uEH4wGXqn0buevnsN7Qy009CDPxtvYbyF9ZY2y70JtQ9cATuAaT9x3QEQgon0JZmE4vQ94xkUV8h5hlxkyHmOjEvS/F5LiL5pMCS01GiLrtUgAzMyVGubHu2WvvrOwBlHn/8eNaW3DRvG0HiL3vboXIfe9egG468djbnx5r1F83qiFBe4YcIqGIdkEpJLKCZRiBylKFCIAgXPUYgcOc/CgvnY4Po+wnoH6w2Mt+hcH8a6381x16N3BtprGGeuAQsRpNptjtfn7m4O0xhLLlHwHKXIaZxFjoLnyEW+S3B/sJE21mHVdThdb7DuetR5hllVUFJ+rasHAByPK8yr8sHM9a8ND8B5C+sdtNPhMN+hsx06R/cT7REGxpmwNzg4b3fARzo00XPG5Ig61tC6IZiA5CLdS4pLKK7SHpDxDDlXyAQZQwsmfsj76S4jJqu90+hsh9b1aVx263ic3zatBftzGynZvZ7AxrkuGY2L5BIZl1BMIeOKxkRkaT0vRP7eYfVbB2cckivkIoeBhXaaku0wIeMnfcjh4Wl/DjlXHM9ub93ejW3al4fr9xCw8H5vzeZ7c47mW8az/XVb5Ch4AclEuice424iAomxAyONqd7LtePfTZizxllaU3ENYL421sCHweJhsU8Ocm7FJQG1nOa04tkg584gmQyP/fGLKN8yhnO4sQ22Zou12WJjGnS2f+xq94GIwIFxLvydmrZsNd3TzntkXOC4qlEp8s7d9Bq5EMilxEMzMojz0XpLOdNgf45repzrcZ5bZ2Fh9woNcQ3fP0vvwOHd+ZnmMe3PMu3POc/Suq6YTEWjmwR1ghNgLMN8XkNJgfG4CNK6ADaFs2/84oLDhy7vVZVhsyEPpijRq+scdZ0hzxSBUPH3gvTO+yCZC8wlzhgYZ8gziTwjkMuDgKXRqNgD3p2jswq8T8+dZwrjuvhmVhePwNMNgjZAB+stGttiExbJxrZoXEvfw1dr25Dk9tBew4aJEoGo+DwxEUpsiGFFDTwcMCjpyZhKmx5NEDqslrJEJUrUssJI1hhLB4YSkuP7USsTFTAAT8ahazWco5tcCI6u6RP4pDsNZ93e7zyEiIfIzmlsQhVmY7b0ZbfYmiaNfWf7wfgOv2iMrXcpmZEBNIyA03A8J2qMafgahy5DkklwcAj2kBt0/7jh4KCdGYzzFhuzwcbSWG9ts5vbrvvgXB7OZ0pgd4cVGf6ccwKGC5FjIkdprCdqDC89FJcAxA9JiTaOOtWdrDZw3pOMbjZFnWc7evDg8bmSKJX6IT/rh4P2B+MNGtdi0a+w1Cus0rqxSWBUazs6MIXDk4v7QazuJuCJp4RJRpCJ0X2UBSAjgtSVLFGLCiNJe0GFao8J+2c+EMeEtLc91maLlVmnqvo67uFh3x6CUSnB9Xav4jpkmYlg6hqLQFmQppVhbKrgkzSSFcZyhAlGkFxCAt/VuJszTveSyNA7/R5A6Qf/f6jhvIdxJnTna/f357BHD/My400AFq+t24Miwm5vpjWbxlWlwkAtq7Q/T+QYEzWCkAJMMAjPH1T+8qPHDnTS2Jom5Ny7nKsd7suDYpFxJo3t/j7t9vboPeZDKgLu8jPFFTK2DxyXokg590jWGMmaTlBiJ199vANuHgQ80RzehnPVxmyxNds0Xo+xiwg2UHMIBzjak4xz6K1Fby1qpTDOc4yzHKVU8ADWuoeHIoDkAXpoOu8C+NiGnCns0Xq4jne74r/tYbxJc3xI5hiepUWQk+9AYwKYSlGkr7g/j2SNiRoHYIcM2T0TN5rPQnAwJgOTSWI8KnBsLOW+nO0KsAEcimokD6CqMsxNhW2jcXG5xsUFgUqHBzUODmqURbbrUhjVT/FNJWY2G7wXljroqYyYTDawmxiLv0P3EYAAzDFwwaEkyfq+RfzpgachZXsICg3BAx2qLb3TH0hsGmzD97gRdjZWuQ3sYILYVJVxsNgtrO9TeHeboIqbIFdQLEMhdkBFJSvUokQta4xVjbEcoRZVQnAVVyGBEnsVnPtMkDhnyAuFelKktpDWOvjOQBia1MZYCMFRVBnyMgtGa98HeHIpKYkMJ0pQG9umcaVFMBwi7S65bWyLraPxtoPE1gzAiDjOHGw3FiGpVVwSGBEAiakaY6kmWGUTTOQIK7PGWI72ZFnfMxhYYu2owWcQ7OFtZtfDDZLPXYXUoLXd/jgHoGB9bZ5vbZt8ByIzIh1gYNPzM7A9cDFepyHrYSLHmGVjrMwEE7PGRI6xMiMIJh7EOANIjBrJVPoMkn94nL0HtCUKOAN1uRsVGWZlmXybhnObsS8DxiPw39gWOnTkuunxOB4grzNObrPmXN8rjDPQ3qRkqHUd1nqDhV5ioVdY6h3I0dgGjetSYSKyY4eH3/RZPPbYrhHETOzWAFbvH4QogYpFiFpWyHmexi7ju+LFH00a8qFxMd4MmEwmtOleYWnWWOtNAqB263ybxrF3+4WEyJKBx16BaDg+WWCcRdCpFCVqWaaxmKoxVmaMtdkiD6yJjKs9BjNLB+H7H5PE3xoA5TGGMs0PSYi/ZfhQ9HOwe2Pb2T6tBRuz3QMTaY/epHHd2jYBEsYZWOznd7FqLgPIuwMfaM4VvEAZgKelmmClxpioCSZmhIkcIxfZTkb5neeTYGKwdu++f+/3FeO6LJnWvyEY6BKLTXvanzeBCUNFoCaMaZPy7wg8dbYL89YM9ul4OHUpH4u5dgTmo6F+2rcHxd641uY8QykL1KJCJQKYrEYYyxFKUQxy7l1RMa4P8fXuMpwL88IF6Yx3sG5/N5SCQwkBJe7+9a/LmKOMfCiRGgIC+/LmwGaDTcWYy/4KF90VNmaL3ulPSqg+FZ3tsdBLvGtPkQf2ynBte0jBwVLxKO7LwMf3ZMqbQqc6R/mCdQ46gE6dNciEgPN+wNaJTL/vF/H1o2zWeJuUIpGx2Nou7c8rvU4A1Mbs5nsX9ufOdXuFhKHMeqcaCPtzIHBkiRWeowqg0x5pQ9WYmjVWZoJalClfInYU3UM7K4P9vJEAJsqNs+x21wU5MZOKQsM7D2dpvGbTCvNZjaJQ7+26H3Do2bOqiW9NSg6fD37+ief41vvDw5yR3zAcfEpCyGizSQlLApPMrnLWDZLTWLmOlN/4d+NsQmSH0qt9GRYlygwsLcgMbKdrZbQRG0Y0wzbSfq3cA6NiwptYUKECXooiHEZGGKsRalGmhFjeI1AglcBkXuH5z4eoxwWaIKkz2sJZALAQgmEyr3HwZILDJxOMphXYPRqZfSq0M2gdbX5rQweSld4MQIhtoIB2e2Mf5TN9kmBdp/Hv+wM5xuhxjAAKzQx6J9CxHg1voYzExmxx2S9QtpHKT98fCnNBMB4qvpPE1pnIMUr58IEnE+Z36zpszAarePgcjPVOhrM/1n3YICNDZd/DZ0D3DeNtHeCZh2O0DgjG0bseLW8hjcLGbHGlFztZpchR8iLIMWnT/J7BwFJlf6ommChiaEleffjxjJLcQsqUCC1bogx/KPFVQiAPhuK3id5pvGlO8HvzGhf91UAC9fk4zGZ4Xj7F8/IpCp6RLOqW66APe0W8lwhc2rGbVmaNrdkmIJOSakqU4kEqSrHjIWsoxx3GXjLvHCzod3veo2ECyoakSO+YsMNDUgKmBAFTs2yCg2yGg2xGLMoHsJ7cVfi0hztsbYOlXmOlVwGEIDBiaxpsLX0NJXdxDY+JcJRCvr+GR19GDxf26V2xysE6i55rdKzD1jZQfI1cZ4kxERPduC/Xsg5MKGLOjGWdAEbO7jctI1kxHeiNN+CMoxTFAIB5OPeHg0MX9uetbWie6SFrbRNYLzuZxlByR+Nrgqx13+frun+IRQBEnINhJEEUvEfHemytTODlWVi3yyCJl1wmBs33ZiXXstztzzLs0Wr0IMYyRgSZjDcDVtow727RhANn67pUyB1aHAxz7x3QbD+wPw8AEOxAr2h/QHs2g4ODdQ4GFsJp9Kzfgf4mgFF6BzDvKQ9EiUrSWkuHWJrPVcq5796g3ziHVms0vUGnDVqt0WqzdwCdlDlmdYlZdT8NAuJVNc7uWY2k8XEmrK37P7t+Zupdj43Z4m17io3ZfjHoBAALvcTfNr+ic31YS/mDLYxmXOGn8hl+Kp/jKJ+nosPH5qpgDIUUGGUZOBi0szDOQXCOHIDi9PtbrdFbi4OyQi5LVEohF+K7+jtFMof2Giu9pj3arAegMgHLW9MkdlMb1vJ4H5nBHm0Hc3y4PxPrCWBhNXfOwzKbWFUd69HaNgFL+4U8mscRWK4jU1nFAkMs5Ik7XU8ZiDVV1xmAETw8RlUOKT7MoPzgzz7ydj72Lr/3bvCnB558mBCRzXSlF7jSS6pa90tc6WUAJCjJ2bGhhoj+dVR/qCf3gwPSNbPDa9+Z390O1r/v+5Sw3KGh+ID2zxlHzjOMAvtpnk1xnB/iSX6Eg2wGgCEXOXCPSl8CnmpkuUI9LnD2bgHdG/SthnUOznrU4wLTgxrzozEmswqjSfndZDeU/NBh5ay7wEl3hpP2fMBaWO2xEuwgofGDMd+zuwtmLXsjHO4L5h0MM7huXBklltErII4n+QY8jLRRcYXnxRM6wBdP4LynxAsPv/NRZMusTBznc5y2ZzTXexrrIXtpmLQOPbs+Ps6DEfdxnIGkNn9vnIdjLB7UOHPG8bx4iuflEzwvnsL6Y5Ka4GPAE4PiArkU6C0S8GSdRy7JW2A4vUulwHMgu+U6pJ3Gm/Yd/v+L/xO/bl+9Dwp8Iv5S/wwLh6kag0uGnDPgCxJSEzxHNmaD0+4Mb9tTnLRnuOivUlv6oaQnVvP314rd+/6QOT2AtBc4b2EG6z+3bL9aP2DJ7qR59FXLKhw8x/ipeAYAGMkRWDAifUhGo18T0StEO4O12eC0O8e79hTn3QUu9BUu+qskceydTiCE9e69ivxubD5sQB1/wjxLDEfDDHpwMHttng89YwZsirmaYJ7NMFczPCuOYP0xJJMo4CG+QVdH6y0622FrtumeUVylAtyuqcX3vz+c9+hcj5XZ4EovcNKe4aQ7x0V3iYVeYaGX6Fw/YKoPgIdY9PlgLvb++CZGLLO7vMtiL9/60P4c9/Lvf7WAg3yOFwXtz8/KJ5BcYKJG3/tt7YWDSxKrlVnjKuTZi/S1wjqwHlrb7sDdNF/3PTT3GwR8eH/en8ODfRoMDgDzAGD3jMWH6+zQ041FtiPoHqgCs3EsaxzmB3iSH+I4P8I8swnUveuwzqHpNRbbDqu2w6qh787t5GnPZmMoKe4FeIqgk/MO2utQZNkxDFOx3oUC/qB4vyvid6lIHwvAne2+6n1d6RU61+NNczI4Mz3MqGSF/8f0v6KWFWZqAsEB/omcSDCOXEiMVAZ4YGsA7YjlI6WEYAydtdhqjdYY5ELioCxRKwXJ+TfZWz4WDjYxmy76BU7aU1rHQ960NOsERBpnCAgeAEsf8uT7mME4QckBhPIWAINmJsnkk/fTB/x2FZeoREn7czbFcXaIp8UxWMEBRjviffggSSFQ1zmKnIy9Yze7P2r8aYCn65KqiLyTRII0pMuQyCyufU+orNl+8Ea/q3hvc/R7/3ijUEyiNhWWcoWN2SQqa5SItbZFJctgjpinxOm2spOPBeccRamgFLV/1NrAaAulZHLhH01KzA7HODieoKwz5IW6d6rfMNkkszqqoi31Cpd6gat+idPuPHxdBLonfd3Zewj/fcm4PoRQTEEygVIUmMgRdR55YDr84TgbbxNraWXWuOwXuNQLnHUXOOsucNqdY6FXaazval7/6OMcu16VIsdYjtC6Caz7eGtjzhiU4CiUCmaXDuu2g7EOmRBQct+7yhYeUnBU2e2OttY7bMwWZ90FXjfvEtvsJlHJEgv9DK3tkIsc0t9s6/Pep8S4Dwfgtdngsl/gbXuCt+0pzrrzdG+1tsNd7BC7Q3H4/y3upUgJr0SZZMEFz3GUH3z+lx9wXJd3xAp767rgA7PFRX+Fk/YM79ozXPSXaVx61yemxZ28lyFo4ekdhR98MIYH2a2hyu4m26aGFa3tyDdG1ahFBcVlkuKl57ijPTL60URGR5Th907fmEF413FdghX3561tcBXG8KK/wmlLe/Rlvwjs5DV6r+/mPQyKRNf+4YcJ7Q1ynpG800ygnbm3fPVzMQQDiVGoU/ey1hE4cR1wWuolSZSDXLKz/W5c7iG+Zp2NUWiSYdayClYbHRpLzOpN1oQ9J0vsiruQ1FpHnWRXbYdt18NYGwyGd4fV696KN41d8XxXlI++d7Egl3y0gs9aZJMPFSLxXBU99HaeXF3opNkjNuW4qxHuAzNugdWdPN99xkjW+KV6gdZ2u0IU+/x1iLYkPBriM0Z5FudwvsfWazRGQzsLBmKYk5fP/X+m4f6h/Y4BFz3aVmYTQKeztI5f9AuszSbdU3dxL1wvLcADdvcPH4wIMhcix9a22Aa1S9yLZmoSSB11srIZSiSB2+3R1+0nMi6B+28o9yDiTwU8dQFRjyajUVYV9aRbs+/V1NoOjWvRW5JV3ecGeFdhvUPnengT/6yx0CucdueYqQlm2RSH2RxH+RyH+QEKnqcq+V0EYwDjHEICeZlhdjiCyiR1r3Me3jnkRYZ6XKAa5VCZBJf8mxRXI4NlY7Y47y9x0V/ivL8KqPsV1gOZXaTsP8aPF3Gct6ahce7iOF/iQl8FqQb5grTB2+Xhz+yHGyS1EyiUhLEWzlEnlVabVGkbbrLeexRKUpLyjVg3ZEZMnQuNM3D8ZoCVgyPjU7NJ6+hpd47z/hKLngoTq+DhZJzB/ZUlbh50eKfEr7EtGONobEtslsjS+MHZTtqZIHNc40ov0vy+0stA5V9hE+R15KX1fc1qh0B0azsssCIJve1w2S/wWr3FQTbHYT7DPJvRXq0mqOXd0voBKiBUosREjROTw4OAgj5Wl73Dt0ZcYmW7d3q3N3eXtD/rK1z1yySv24YD/mPL9YcbtN5S4TNKkXcFvSCTNENAot11BHU9jLM/RM4dpdexENLYFhf9FWbZBDM1xUxNcJQf4Cg/wGE2D4Av8DXKA+s8OmOwaSl3mZQFikzugVnjMkdd3MJ0JgRJiEnStLUtLvsFrvQCG9Ps+d2SZI6kUCZJyUO3wYE9wXUZXuzuSl2/o9vcY3wunPfQzqIJUjoAyISA5MSEyqWAdg5bs/PMHf73LRmsHh6NabAwpBq56K9w3l/hsr9K+zat401gNdoghv2+94ILIPkmqJs612Ol13jXnWGeTYNdwRxzNcEsm2Cqpt+3g/wPGn8a4Ml6hy5sgBf9VZBUkUTiUi9w2S+S2euuG5lNFL8989cHHA6OOuo5jcY2WOhlYC/stP8/lc9gvUUlSggVJs0d6qA5Z/BMoCgZVCYwnlZwbkdv5pynDneMfxtT8VhJtd5ibTd4157iH9vfcdKe4by/xFl/ORj/QdfBx/ihIo6z8w5bu8VJe4Z/bH8n6U1/ifPukrrT7Y3zjzCzH25wRMaTRGcMtHFodL/X3naY9CjOMSu/rTzTwwWZnA5NH242t733aGyDy34R7qVX+HX7Cmf9OXobEm9vsJNuff+IjDvjDBrQgaixLSxckgj9yIlSZK0u9RrvulO8aU7wun2L1807rAJlX6fuVu7Oqqh38b49PFrXQgf23KVeJPP3KI96XjyBK21oIFICuFshlwxyAg/sTJe9RY+eANrUKejbXrMoeSTg6Qq/bl7hVfOG9ufuAmuz2fNHi+yLx3iYET2cVkH+SjLJs8RgS/J2F2XJDtclsN9/1n4+rLdoHfm/bg2xLgUjiWPMuf+p/hmMMYxkjYwrcM++ynvIOY9OW2y6HqVSmJQ5ns7GUGLHeBKcWqXfNmjvsOgc+fG8a0/xqnmLy36RTN3b5L/VBdBgX/I4lEUNZcxD39MfAVR8SGG9R28dtsagtxaCs+SXWUiFQkq0xiSvJ45o1/JtRdNxVLe2wUV3ibftWdif3+Jde7bzugx5mMP32W8+9r6101h7i61tw/mZJPIH2RTPiid4VjxBXz6FYAIjOQo2GY9xm/hDA092T2pD8ojL/ooOoCGZudLLhMA+lAT1a4M2cADeAiAaeuyy19gWACA5HUAOs3kyEZZ811b5S8Gg+HuMAeACQgog//Tv3FcMKcOt6xLL5W17gt+a13jVvMVFR1XyK738Q4z9nzF2SQ0x/DahmnrSneH3MM5n3QUWYZzvSm7zGBSCc1RKYV6VkJyjNxadsQlsBkh+Z6yFdt8HnHHewwa5nPY6FRI+tMr54CvTB6nP2/YU75pTvG1P8KZ9h9PuDJd6MTC3fKjB9rpcidDB6UdiO+18sEjyGBkSV3qZpI7vwtdpd47GtskX4qFGAky8Qec6sDBOgvF06IueNq3rUIkSlSiQiezOZPGxmHa99TzgBweV+3VI2e9GaFNXuqt+gV+3r/F78wZv25Pkw9e49t7ey2PcTWink7H7Vb/EZWA5nPWXOO9J4r7UayzNCiu9edDz9KZB968H4GAGH8d4Yv9sTQPFVAKaZmqCqZpgLOsvlt1FaVZkwbTaYNv1UEIELxqGTBLz5bZWMd4H9mPY/y71Au/aU5z1FySTHHTu7l3/CP5+o6D7zAVTcQtAgHMfSBWx+OWhuMAky5GH5i2dtZCcQ/L76Zg6XMfbIK1sQt70NuRN7zqSv5/3l8nv8qFGtOmAt+ix81mO54ZdR1TyhB3JEarQPCTAfV91nYdyxV1xiH7GB93fow9l2qvZ7mfxeSL7fQjrScYhGMkK4xmZniE8z+4v8H6nIEkeet4H30oO+YXs+T808BTp+NHXJbKcFnq11yq9td2DT1a/NiiJbeGNw2nH4eGwMhv8VDzDy+oFadCRJ7+HP0LEhNZ4g4Ve4XXzDq+btzjtzpPPz8Zu0TryZXmMHzPiRmG9xcqs8boh9sNJd5bGOXY/8o8stjsPKThGRQ7GGCZFDus8jHN7G2jTG6y6DuuuR5nJL6rEfk24AeOJulDSIftD0JMHyXEv9QIX3SVet+/wpnmHd+0ZlmaFbQA3HnpFXnKBShaYyDFGskbO8x8KdIoRDYUb2+GkO8dJd4qT9hxn4SB71S+xMutgHP7j7eMRNN+YLQBGnimuxVKvcF5c4ml+jKfFEWZsAh4Aqq8BhIw36EKb+pg822AS7OEhmABjH+6oc9fhvAtd9nq8a8/wunmHt+1JWrev9BKNbWG8+Qbv5jG+NlrbJc/MmG+fdGfUYTLk3K3t0Fn9w83T24ZxFlvTwHqLN+07aK+x0Ev8XL6gnJtnXyy7Y4yBcwbJObSxOF9vsW57CE4/54xhVpc4GFFns9tEzJtjoXql16FJwyJJ6pJU7g8+hg8qfGCFOgeTTOQ9emvhA1s1+m0eVRUqmcF7YKN7FEKCSQl5DwbjyfzbOyz0Eu/CnI8+qufdJVZBVucfALPpthHfb2d7XPVLMsIP++dlv8DT4ghP82PIgphRxID6+jM0yd8JaOytDU18yH91p+BxtBYEsCs1Q/IEhjvvYEGAZGT5l0KhEAqKhw6jjmBAkVhyjJotMGqgoq0lsDOxoz1yIVEJBSGzL8oT/tDAk3EEOLxpTvCqeYtXzRu8at5gbbZpQJzftbT+Iwexv4jG3rkea7PBu/YMjWmRiQxH+UGQYTCIe+x69y3DgbTqOvhc/bZ9jf+2+necdRfY2ia0k7apW9lj/JgRE6U+UMNfNW/xfy7/He+6M2zNFhvTwHgdpByPI33XITjHOM9RZypVV3DNp3XZtDjbbMEYQ6HUNweeokl4lMZ9SmoXfeBO23O8at7i9+Y1ft++wWl3nqRbD7liF0MymSTWIzlCxrMfUmIXJdKtbXHSneE/1v/Aq+ZtkOwsA8vpbk1qv3U4uFQIWwQW9pm6wHl/CTsiWXwtKyjgq6vWxlm0rsPGblLDlXjtPDxkyAO+xb1i4ZIX2Ul3hn9f/w1/2/yGjdkG/49YFHz48+0xgNb1uOwXu3x7+xa/N29gghx5aF3xRw/jDayludY7jSu9xJv2BM471LLCYTZHxgHuOcQtp1pqEMA5ml5j3fbojKH8nTMIzvHCWORS4qC+HfCEyKzxOigFdmqRZIKN+2yz9Bgfih3YEAt7wffJWrTWoDMGk7zAQVFiXpRQQsADWPc9kFGB8D7EJ5GJZb3FVb/Eb9vX+I/N38kbrB9Ian9gabSHpy6MWmMZ/KEv9QLvulNs7RaCCcyzKbGFufxq8kZ0PiN5pUVjNXkxegkmGFxgRpvQ1VBwDgEO64gpbRwVdIxz0OE7nXUBl/lgSs+hHQFbzrvQ2Y8nVhUDIzal1WitRh+Ydto71DKDYAwFFL5EyPmHBp4YYxCcWgULxmGDbnNrm+/91r5LOHiiD7ooS+pw1l3gTfMOo7ARztQUs2wC5u+u0923jGF3nM52JKPrF4m2HyVX0SDxa7bO2I4ztlcWg2r00NgvvTfsJGFDH7FdN4eHvZUzhl2b8Fh1/063x3Ccida/wJVe4nVD7JSz/gJX/SKM89eZhw/brkZGIB/Ilj41znGs7WCs478/1GAMYINx5mGcI7Wfqm6DP3sPG9YUO/j5kPG0aFpcbLY4X2/AgG/u8RSZFdHj6XoCFOV1neuwNS3eticBdCLAaWlWgRn544RkApUoMcsmqRPLfcun7iKG1H0TvJyWZoWz7gK/b1/jTXuC0+6cwAmzhf6DsGFsrE6G6qYJ5ruVKJFxBe01pmqMiRqj4EUCh267R8eOgHvdlOB398U9g07D8V1r8rk67y7xqnmLk458N+O6/TWy6NilSCDszzzuz3wPWIvf07vyPhUl47oR/QAf8roNhM+MXQOBb20qzINsNHZ76r3Gxmx/2APn10Ta5z2SgXIfmH0TNUbGs2BAPoFg9e5+vMF8ZowRkCAFWsHRaYPe2CCnEnQQ5fyLenfEPDSyJ6gLuH5kHX7n4IxBcYFCyD3ZE/G2d9Kp3lpsjUbFACU4lBBJZn9XsfPvoiLdMnSH/nX7Cq/bt3jXniaW44+WN30shhK8jaFr0DuNgucoeA7JJGZqgokaY6rGXyyjtd6htQaNpc6EEUwCgJZpMM0Q5b07AJ9Wj+SjlvbYWLhzMD54rfVAZw044+itQecM4IFSKlQBUIoMqciIMgHMij/LuAjy4i+LPzTwJBhHJUrMsylWZo2yLf8wMrKvCec9LCy887jSS/zevIH1Dj9Xz+Erj5GqU5e7h35I+VBEM8PGtnjXnuK37etgbEeLYWwN+zVJJAOD5AKKUUvNXNDik3GVQCg+SP5oQbABjTahIwhJHtrQ+SUuIg8xuaX0lQU/kmvg03eK5N9lO5x25/g1jPPb9oTabKeDy9ddT8FEam9eiBw5z5HxLIBQ4Tqka+ETi0CHhC36XlAb4Q7OUy+mhzzOPB7aBuPsQV5N2lpo62AsbUa9teiNRR9ML7WhxwxN25dth7P1BmfrLZz3OKjL97qW32e4AGJ0tk+mltdjG0zEz/tL/Na8xu/Na7xu3oUulz9eh8toIj1T0yC1+3EYTy6sl63rglfbG7xp3uEkdBVcm02Y33+8A62Hh3Ya2/D3rFEwzpA0vnwOzgSkkhD4MtkdHSaJ/Tcsknyr2FXuLS77BX5rXuG37Wu8bU9x2S+SYfHXyqIF41BMQXGZ9udc5GndFkwMgDuW9ucoM4pdu+K6rWEeLDs+Qmh80Gb9e3SvVFxhJGscZnNc9FcoeP7DrDn3GeTFZOC9x3l/iWyroJ3Bz9ULiFAgIMnMzZjAUVKVZxK5keiNhdIcmZKo8wx1kaHOM2TyD33E+1OFYByFFBhlGcBAeZe14IwhFwKZEGAANkZjazSOqxqVUqiUQi4IjLyriCoDG+R1v2/f4PftG5x0ZzjtyM4m+gr/EcOE3MRqhxN+DgDYmAYvq+f4qXyOSpah4AHcVnanncOib3HRbWC8g+IcihHQ01mNNqwjcdXfFbZ9YELSHiAZh+QCkvFk9u+8R2sbnAemE7GZiCk5zysc5BUk42itQWs1PMgTSoV7Z9ccYL+wfNv4Q69KtKAX8AF4qmTx6ECPHXLLvMVCL+HgsNQreDiMZI0X5dN08PzRIlYBrHfYmgYn7Rn+ff33BEZszAbGm69OHRmIUZBzhVKUGKkaI1mjFEUw81U7ZkzQ3hpv9loMN7bFhm0BQ6aciGj111+GO40h6BQBp8Ts+o7vywfEvw3eL/+5/gd+b95gbTZYmQ30VzLagOE4ZyhFgZGsUcsalSwC6CghmAxdRHiSd5rQ2CCNs90CnuS/Gh7swVbP4zizdDgL3C6Sq1mHzlh02tB3Y8jYtNdo+h6NNmi0Qas1rNsHni42W1xstsilwM/z6Tf9/H7IeAqyj+uxNQ2xapo3+G37Jh2GY4elHy0kk6hkYDypEZlT/yBnwDhe5Ot0hn9f/R2/bn+nKqrdorP9g2cOfml4IDHzekueZFd6iYVZgTOOWTbBSFZpPb5tuFD86J2mOQ4qlOyxnu4xqFJOAM+lXuDXzSv8t9V/Ym3WWJkNuq9kqMbgjENxiULkad2mrmIyAVJswFw1jvwgiQ3WorEdGtuAgVNiby1cKiM9tGBpn76+bn/LUFxiJGtwxvCuO0MhclpzHt4F+6ax69hncd5fUsMjvYbgHPNsguP8ANxzeHazOcg5gxSCOskqiU4bSCGQK4lRkWFWlRgVGTL5WGj/owTnDLmQGGVZABIIfBKMQQgCGLZGY6M1Npq6HR6jRq0UPeYON/8orzPeBHndK/zvy/8e/JM32Njtg+hUd19B0n+HDlTc3potzroLGG9RihJPiyN4psD47WW02lksdYO3zRLGOUyyAhOVo3MWi67BVd/AeU+sRsbQO4vOGnTWQHIOxQUUF8RgEhkKQTAPYwzWOSx0g0XfYqU7NKZHYzUUF3huKSfPuMCy77DSLRgYRirDSOVkJB7UD+mc+rEOPZ+JPzTwxBhHxjN4eIxkhbEcYSJH6Cx1NtLOfNXEIPoiVc8kj1Kr4RdPVO/IiBhKc9I64He03DhZU6cZZ4OZnw7eJKSzvAvqsgegvcHWNHDe4SJU+0+7C4xEjVKSU/+PFMYb6o6jN3jdvkvU/ZVeE0L9BX5OksnQ8lqiEAXKwVclSvqzLFCKEnlgwkguw7gTf8RjJ7eKMoLeaWxtg61pgp8FJbuta1P3kNYSTfVr2VmRtSNZ6G4VQDExkJElJtNAQhhp+5xx5DzD0+IYT4tjHGYHGMkakn+fJYSMxDfJq+ykpXFe6jU618H6289tyQRk6AD20XEWNM5FqJzH67kb51gJoqp576j7SxMkvlsTxtl1u/EO4/y1B+l46JCpi5nYje1gnHd/f//faS2TeJbTOB/lBxipmg5pA0BKcg4nPLwX0JbWqU2v0RkDBoYyU3v7kfUO215CCQHJv30lPjKeetdDBxNqIB7wSXZ72p3jTfsOvzdvgiH99tbygiEjUDAR2BUySXv4tX1gGEPZU5T2DCWaUZ57U6cyFRhPUzXGSFYPmvG0k87S3L7SSyz0EqfdBXWl7C9SFbV3+qv2PzEYmzhXaB6LZA5KY7QD13edZHYVv1hFjHu1Caa7OoAXkUHzpe/VBxC7sR0cPFSv8LY5QS0qGGcwVRPMsgkKvnPuuJFMJzxuyFiNoNPOu+X+DgyNabEyG6zMGu/aE5z1l1joJTrXfVFOxkFrlmISucj21u0ydAQsB/s07ec09tGYFWDBZJ3yqz507Gptj63dhj1610Y+NqVpbXsn7GkGlu5DyWXah8V7a/aH/x7v6Xk2xbP8CZ7kR5hmEwJ+vvid3T4EE8hFBgAYyzp8jdEFn6OvkWvt1taQc7+Xb4u96xVn737OzdL8BXasaTeYxzYylQcm2l87xjE8PHrbYx3ey0V3hbPuEhM5TvdrvH6fCufI26fpSWLnPXn4cADWOTRaozIK1gYWffi8N10f6PuO4a7C/LrrGPbvcnfQ7SzmKGzAHHuYOx6g2C5HA3asxY+FYBylVLC5g+T055HJYEOnYO89lBColMLU5jgsK4xUljqPfW3ONbS32JomdQP/dfsK79pTXPULbGzz1UxkBpbmtgxrIq2Nu3n+IasLxtiejDtKo1PR39u0PxtnyIMt5VS3n9vxdXqnsbENjLc47c4xbkbIRY6ZmgTp3Sjtszcdg508zqK3Bi0X6J1F7wx5MoGKwDwYgDvv055O81Ug4xKZEMiFhHZkEN7FztLJiF4CjKWOh9E7LJqJy/B8GaccVjsLbS16Yb/oLB3jDw08cTBITslFLQh4mmZTtK7fdXT5wko2MSFIfpPxDDnPggwnQx6+ZzyjBZurYNj5fsJAC4ZLCHI8YJAEq6fuMynxaQIQ0aF3dyMxsKGjjPUWS73EeXeJt80JDvMDMMZ+OOBJO43LfpE8Wk7ac6z0Co39MjACALLIapIVDvM5DrMDHGTTZPhaiDxVUIeH/ZjQ7tpc7hKc+BXN3ntHHU8WYTE/765w0V+GA8yXS/DiRpxxRW25Zbm7L8N7VlylKrAMf4+srfQ9SM3GssZIjjCSFUpRImPq1u/pLsIEtt7b9pRklIHe27o2dC27/bVSYZxrUe7GOZ+hFiUqWaESRdgEB/M5abij0G43zkN/kF2b6R5Ls8ZVT2N93l/horuEdjpt1l8zzgQ2VKhCAnt9DIdjvvf38D2uaSNZY5xYfASogpGRuBIeDDJ11bFhLeq0gXYO4yLDKM+hBgbiSggY69AagzJT1Pb5G8bQ4ykmHMQs6RNQfdJRV61X2zfkTWBv701AY6CgmEIusiTvUUyGCpVIxYrIvo2jHUGKeL9EgDq2rtauD8kT3WMfi5jkEOOpCObiNTL+febqTSP5OnmDi/4Kv21fkzdfc4LLfoHWdqkZxNeEZBI5z1GIjNZEUaKUZRor6jbFr63l5JfyIW++KKMdgssbs01G9l+zV8frAeux1Cu8bU8BxtC6Dj9XL1DKIvnp3BRUZAPgbegNMXzN+9TBbuwWJ90p3jSneN28w2V/hW1I3L/E00kwEYoDBWZqisP8AEf5nFhOYe3OuEoHmGFxJa3cbCcjiOMbDypx3R4eti77q7B2Ozjbkbz/C9fteLgvBgUOdX0f/tDf2fXvxHAcyxFGskYl6bm+JdgsGEfGFITgqGWFiRonqwuYLYz9OuCJ9qcsrK27XDt+p2ujkDGZAKrhHCYfnN2BNM5hYihTzt3aFhvTEOBoW3S2g3PdV/mNDYPmM+0VV3qJ0+4ctahwkM0guUSOzwNP1jm02mDddmh6KqTEhh2tNjDOoVAS4zKH97g10zUe5FMhi9E5525jN2O8dzCwwFc2gKHCGIHKwOfBnO8ZKqxJiZnIPj1TJecoFeVdpczI6Nk5dNagNWQuLnhoc885xlmOcZYPzKK/PmKxZW22eNO+w6/b10kCv7E7G5OvCc54si+JRd8qFHuLIJkmcH4wv7FTlrhgdWEGc3vHYG2xtdRwqLENSaqhv8qvKHq3Oe9w1l9AbUkaTzJajrGqAdzOtibaXXgPaE/m4mQQTgATXGQNByyCcyiQ3DLnEpmQqGWGSmbIuYT1HbQjk3DnPSTnqJhC6SknFJyjFCoVPQGfPMVyIVHJDM47AsGsRmdV6Kz4ZdftDw08MTDaqJkMm+AIMzVBE1qcNrYFvhhhZ0GCk6MSBWpZvfdVCkpmC7Hz/pHXkFtgZ0IckVjtDDa2wdpsUsvGK74E03TjUtVI38k1ct6h9z16AAtNBq4jWSfd+Y8W2hkyE9++wW/Na5x0Z1iaNVrXftHzMRDwVMsK82yGl+Vz/FL9hOflU4xkhVrU16qKEdn+8PPt1jf6gx1QsE+7C7xrT/GuO4VgEr3rsehXAMMXJT1J7wuqWNWywkxN6JAVFvDhYp5f/zOPf84CkKoG0oRB0v4dwnqLhV7hVfMWv25/x0lodU9z+stCMYValJhmE7won+GX6ie8rJ6jFlWSUQL7yQzb/XEvro+zw86Y76K/xLv2FG/bUyguoUPHGzIC/JoDDIdkiuRVaoJaVuGAne+Ndz4c+8FY5yGhz3n20XEWnAEgvwDpOKwgjycAaA1pz3MpcTSqUKjd9iI4R2sMNn0fgKdvKwOJB/g++A64sLlSJ8QNznuae6+bt/h9+wZRDnTb4OBQTKIUOSpJ981IVgnslUxBcZFYlGC79DtKfUxoY03JEslxueX0KRxgmfvsfh8ZFGViPNXJ0+ahRjTC1I6Ap79vfsd/bP6OlV5jbTZovnANvx6CiSC/ovVwqibpGtWyRi3LxDyJjEbBBBiLYxQrp8SWa2xLnW70Bgu9xCVb0JgaYiYwfDmz2gOhWmvgjANrGba2Qed6lKLAk/wwye5uGkNmpL/2H7AzrL0v6GlttnjXnuFvm38ERvLiqxq+SC5QihxjOcbT4hi/1D/hl+qntAbS9eG33KN31f1YENzYLd62p3jXnuF18xbOkzl67/QXtwmPezSBZzkmaoyJGr23H7+3T39k3ZZMhMYQOybAtwwOjoxzAFS8iMATGdrrrxpnkk6qwdpKhb9aVKhkhVrWKAfXi+YwMU6HObcLAL9LXl4kaY35NnWsWuKqJ5av99QN2uKugKdwKDYOV/0Cp+05SlFAcoFROKR+Lqzz6LRJ3ewk55CCw3mPzhhse4dRngU2VLCfvsWtMPR5lMEs/j4KFzsDZAfvKE/6GtCbciCZ3utD3u8yriA5dRDFDfr0CMZQSoVC0meLDKSN7rHoOiy7FpXKMMlzTPN8wPa7m9gxfR3WZoPXzQn+2+o/cN5dYm3W2JjmTpQ4HAwZz1ALOrNP1RhTNUmAesynqEgu99iO0UN3yFqkYu8GK70ORd8FeFChAICxFl+OA9A92zuHHhrnHZEFFnoFEWTxHk/SY29eHNqxo4xzaL1Oht/AruOd9Y6kdYxDCYlcSBRcJrColhkyLgm48g6tJdxAcoGMyeQDNTRAN4FBJ8CDmb1CJRV6S3lMazW6j/ik3jT+2MDT4GIqrjBRlJhop9F7jaVewXxkjRtS8OOiqwbfieFUoOSEyqbEIJgPF6JIFZgsMSR2le6I0gI7M+zIdjLeYmQ7TOQIreswz2bYmA3WYVNca6Kpb8wWa0MtmKOG/GvowK3tcKkXyBr6bLNsCutdOngOr6f3HkZbGG2he4Nm26PddtD9/uZMJmRAFIPGpyDqJ1DWOUaTEqNpCf6F5nd+ULna2gYLvcRZf4GL7hIbs4Vxt08Y8sRio+T+uDjCcX5If84PQ2ehPLBKbjGNrq073Dt45uG8xFjWsLmlRRQCBc8xlqPEhFqZTVr4bxKRfuuYh2ISYzXCk+IIEzUesJ/U7v5mu/tbDX6mEhtqd3D9Ht0Oh3Nkaxos9Arn3UXY+LbBJ+t2kXGFPIzjbnzDWBeHmMhxYjJ+zTg77yEYMaFGsobJDJkEB/B6JGssAgtqYVZ7lOGbBT1WMoGRrHGcH2GmJqhkuWM/sffXsf1xJ5BeBlkdgPfmPDGrglwn0HMrpXBQV9CB1n9Ql5iWxZ6/hHEOXQCmjkYV6uzb+g0NDZWpex0xihb9Em/bd/ht+yY0H9h88oARD3OSi7T+p6p7YL0WcT/gBR2ERPFewSGCGTHiATeC0PF99rZPzNfWdehsF95/H4zrh5+pDxRq2mNqEdiYoavrbburfOug/WydGKsX/SVJpG0H8wUmpRFckVzuVU5HQQI0UjVqUaGWJSpRpbHKeZ46oEWvnMhOi40Dor9FZDyN7RhN1mBj5qGbzyZJgdd6Q0yowIZygRF5273aeofWdWCG4bK/wml3hjftFM47OniLMlX6PxW7bjt8T5KwS4rvnicQ122SSK9x0V/hpDsP8snbMwsFE4nxMlOTvTX7OD/EXE332Mi32q8GD6X55CE9eWDN1TQwb3hiEV/0l1joVeqWe5t1O+7RYEApShxmMxzlh2ndLsP8zfb248H6zfbZUEMJ7/fYo4evWfAcczXF8+IpPHZdhj/4e4HNtGNg7z5nFj5zLjKUvHgv3y54kQoqw3wmMhaHc5gzPpDg7KTM2hmMZI3WttjaFod2S3M3HFjjXN6Eud0HhvLXHLSdd9iYLZmNCzpoH2bzxHC/nnMPQ3CW/JxYBxjr0PSU/3C28+JMbJdb3f4R4CsxVzO8rF6AMUastUEHTCpKfXmvtCirpiYSPc66C5z3JHH/0hjLGkf5AY7zwzD+Nzds/9aRixw/ly8wVqOPFoVsMIHWNnwPzV2oQzldw3XfY9G1WHQtjqsamRA4KMo7n/+90+n8+bp5Sybi/RIbs0X3BfL3KKmTnFiMcX+uZZX255EYEjmKACoXe4DT0CZkx0aOrFXy1R3JGls1wdY22OSHaW7H/Xk9UBXFQsKXzG3tNLZmC8DjLBSYR7JOnysWrz8VknOMVY4nxRidM+EeZsEuYtddzgWJHbHcBJmQB38nxYiplAsZjMlJllfLDDupPUt5IQdLpRbnw+t4h4xLTLMCI5lDcwkPQHGBkSpQSvXFwO4fGngahmISEznGs+IYne2wNOtPGnNGf4wyJKojWYWJQH+uZbVHzZexij2oZg8PGFF3HD0FhgnC0Nsj6pyTt5M3yYekcz2Weo2VXuEqyIzetidwvQvo7td5M7S2w1W/hPMOs2yC5+YYLtywwD5a652H7g3abY/1qsXl6RIXJyts1m16bHS+d9FkmIXNlDNwTtfg6NkEz385RDUq8KVNFxx8QLapdS8BEpckz3BdYDfcLoYa3ZfVc7wsX+B5+SQcVGgBidXwr4l4TXmQNXLGkz/FVI1xnB/gt+1r/LZlaGwLG0DK2yS28B6SS0zkCE+LIxxk83BP12EBHyZnkb46vHeDT9l3rh4Ra8UGTfWWpKH9Jc77K3RBhnPbyHmWKio0zs/xU/kMtayCvK5MgMHXRJxBnDGSP2RIPlITNcZxfhjG+TU2toFD1FDfZpwdBBMYyzoBpNH0PuNqb3yHSfltxpkxqkh5BjBPrlZlphLDyXugyhSqTCXqf3qDHsiEwKQsUOff1m+INtPgr2Z79K5DZ3tc6SVeN+/wH+u/Y6FXn016KaknsHCupphn070WugTyDWQfe54tbM/MeJgQJ5gxSA2SlMvt/IOIXUMecFtDhvUbs8FKb7A0Kyz1Gsbb4F8j0h4VZaHfe/5+Kjw81maNt+0p3jTv8LY5wUV/RYWDkEjeNiKzaXigP84PMZEjjBSBT0Pwdbh3x8Qs7NZpDyTAyKXENMp1dBifoURyqde41Atc9QucdRc47c5JHuE1gNvL/J13idJ/1S9x0p6jlhW89zjODygPuUFKl5iwIVFnjIH7gSfKPXS5s+G9R4bhZb/AaXeOznbo3e07RkpGJtbTbIKn+XFau2fZJDFgorzuayMesrNQvMwGjSYOszneNCf4rXkdvAVdWLtvXjCId3YpChxkc7wonwZJO7FsP7hOx79jd/D61t0JPxeFyDHPpsFOoMNVv/joYxkY8ih9lWXKT0aBNUpjulMQRLl7ZCUmX83BtdnLtwc595DZFz2eYsF359FGcziyGZd6hYv+Em8byrlXZgPmDbT78pzbe4eNbXDWX4AxhsNsnnxI+WfGUgiOKlOYVgW891hsW2w6DcEZCimRKwEhIvB0u/cVrRlojaCD8DwbBx/KCFLH6yy/+J7z8Kl4sjRr/Mf672hs83XAkxrhl+on/Ov4r2n+y6/M3e4roifbVI13voLXrqX1Ho0x2OgeW63Tl3Eu3b+bnhhPi66F9R7jLMcXej5/MjrX4aK7wtv2BL83b3DaXZCaJPjc3TZYYDaVssBYjnAcAMO5mqX9mWTHam8sdz6MA2bnYG4P53XcoyP7KRbq+sBUvuoXuNQLXARv49PuHF5vYGC/iMVqPLHVjbc47y7xRp0g41kCQm8CPCkuMFEFJBMwA+KHj7PPD2XhPgBI0d9p9z16sXIwCM6IteRsuF5Id9t1VlxknlOxnKMIAJb1DrmQmKgiSfm+FNz88wBPXGGiRgCAxjR415598jBJcgmSKRzkcxxmMxxkcxxkU8yzGWZqkijO6hv53Hh4LPQKS73CeX8JxSVa22FttsQGYRbuy3EnSg400SifFsfhAOwA/3613HtA9wbbTYfFxRpvfrvAq7+d4ep8nQAm7z2cdXBhc44Gd5wzcMHBOUPbPEU1KvD0p4Mvvy7hUBn9sBbh+lzqxRcnBQUn4OlZcYxfqp/wz6O/4Ofyxb0kdnEBiIDTXNFh9kl+iJVeAwCWeo3T7hyAARmV3xSQiEyYwHjKj/E0sJ6mavxgq0EfC+OpKyAxnqhyftlfffE4ZwF4eloc4efqBf65/gv+Wv98r+McJYwzBarWZwfYmC04ONZmg7ftSRhlf2O9S9wiBRMYyRGeFId4XjxN43wXB7D0OdjOFwVgkBlHoSQO6grArp3rMCTnUFJglGfIpUSVq2/KeKI5M2AHBd+kK70g4Gnzj2Qs/LGIckbajHMC58uneFY8wZP8EE/yI4xljUxkCei7yyBGZ4vGNliZDS77K1z2C5z1l8g6lRKs6Mc2CoyP6CPxkIOApw3etaf4++Y3vOvOcPmVEiwCngqMVY0nxTH+qXqJv1QvSVanRhjLm8labhuxcnillzjrznHanSMXObQnCr4PhwZ7y4pqNDLtoSE0x2lXIRMKHGToPM9mN3ymeCdzmsMee9XdTzEtvjRcKBg0tiUpU3+Fs+7ii9dtyYnZeZQd4KfyGf5a/4J/Hv0FtSjvfO2ORQPFFJRUmEiybDjMZtiYBrWo0LkOp91ZYCJ63FS6sbPUZ6hEgcN8hhflU0zVOBlO/6hR8BzzbAbBBK2zn/gsBHZkyQ7gIJvjIJ/hIAtfaoaRrJOk8GsLQTeN6L25NCu8bt4BYFibDTqn4Z2HwZd3SHbw2NomNbv4qXyONviFsc90uIt+P5OyQKcNrrYtNl2PTAhkQkIKksN/CcuVAAGFDAqlKDBTE1iY5J3j4MAhIANgz75wbyHZDjF4z7sLbE0TrvGXx0SO8HP1E/6X6X9FGRhw3+p8dh9hPfliLrsOi7bFVWA29dYmcGDd9/TvfYdcSrwYje/lvXS2x0V/iV+3r/C6eYez7hwrvf7ihgGMMWSCWKPzbIqX5Qv8pX6JZ/lxAJ5G9+ZLGffS07A/v2negYGl5j/eeThvbz23o4y2dR3O+0uUTZ6YWZRvTD/7HJJxjFWBsSrCe412DAEoSp8hqBASMeTjUSHbe/zwOXZ/+vzO6dX7z/El8acBnuJhwXuPSegGM1fTpIunbhx5ovINzXWvV19ihyDFJTjEt6M0++g3VMLB4WX5HBwCUzVOFdWVWSeq4W2TOnL/p8nW2BZrs8FVv0jeAkIMu+cAKpOo6hzOEcCU5wqLyw226w7bNU3evMxQlApSCZLmcIa+M2i3HZpNB5VRZQbYaZbp+W9+Ta23WJs1zgO1caFX0IHyfpsYdjo6zOd4UT7DX6qf8CQ/ooR28J7uKrn92OeUoVrvvMdRfoCX1XNqXaqXoXvE7apCre1w3l3i1+3vsJ5Q77GsIfjDrAZ9KIiavsF5f4k37UmQNty+9XbsgiSZCBVmGuen+RH5gXzDcY7rDgAc5nP8VD4jQKRf4Eovid5+i+hdTA5ep/lEzLav/xwf+wxxI+LXHjd8vHUe2lg0mpKUTMp7qcp9LGzw6Whsi8v+Cq94BguHV807LPQqdQq9fi8xsGReG9lpUzXCTE1xkM1wmM8xU1S1rGQZZG3iXg7vLHi1eeSD95aT/5ya4lnxBNoZYiyC4Tg/xExNExviIUZk89L6RPKrk+4cS73+IiaMYjJJHedqiuPiMEkvjjOSSJeyTLLZu74uxAYAEO6bsRylCqJiEmM5wkV/iYv+Chf9VZL73JbWH1kCsj1DxhTGitg3Mcklr58Pf7ah0f7Qy+g+2TKN7XaG3P0lGtveet2OcizJBWZqgqfFMf5Sv8SL8ilmapKkZsPHf218fN0OHZOFxyyb4FnxBBu7xWl7HgzIF7di6TlvsdRrvG7eQTGJF+Uz5DxDJX88n80YUeIKeOrAqKaYq+nuHuUSZci3S1EklsPovS9iO+UiIxD9G65n6dwAj+Oc/PcyrnDSnuG0u8BZd55YSl/iw+mCqXYX/K8iuyoyuz6myiDbAQ/rHDIpcDypUecZNVXZOXanx9/2epH9h4PxGp1r0bkWLuSN5B9IjGUlbiljvfYZ0gH2rsaT7b7FY/pD3ftuEoJxFFJikpNJuBQCuZSwzqUC30ZrrLoOy77D89EYoyz//BPfMHZduDUuQrEgdgrfmnbA17xZMLAkjx3JKu3N8fthNk/epPeRt8Q9J/ocEug1A4CkNjntLsL+TPvUl87txjY47y/BGEctyuQnKZkIUv4Pn72u21vE90vfB4+jB+//7APXa/ccH3g8gP1X+Eye/4Hn+JL40wBP1A4+h1AE1MzUBPNshsqVqQPdJP18Sp2hJPlCZMFYed8XRSYN9beM2MEmVrHHaozDfIb/XP+aPEx6p+H87YEXDw/rLDxzaG2Ltd7gSi8w9mMIJZBjADxxBpVRoieVQF6o/5u991yO5MiyBo/LUCmgSpLdPfOt7fs/zNqarZqZ7qYqAZUqhMv9cd0jEyWRCVEosi4NZBFAJQIZwq+fewSOTidYXnc4f3ON8zcLBB9x/GyK47MJqroAFwxCcKwWHc7fLPD+zQJKS3BBxrmHFvlGbPCuv8Cb/j2WbgV7kCeIGM2YT/XxOEltkuTqMUswiYIzcMlxpk8wVAMYgF+7P0Zm1z41hAEX5hIMBLxMZYOX5bMHOfaHKjI1bPF+uNwBnvb3daLzTH48J/oIr8oX+M/J3zGVEzSyfoAj/3xJJoAEfp/qI/TVSwDAr/wPmGj3Bp6GYHBprkfwoZY1npdnAO6vGflU7TaPn3oikumpR2sspWXeUyrnbYtkSi5tgGlTuHKUZLdwK/gUl/0p4CkDTsd6jlflc7ysnuNUn6CRVfJRKkf260PK2jgoLIPzbbrTVDY4CUejx5OPW4p4Iyoc6fmjsQMOKZvk0Uu3xqW5GhlC2cNq31JcYSonFCtfPsNP1Sv8VL/ETBIw2Ihq9G586FJcYaomY/9AcoJT/Lv9DYKJke0Qd5JLb1suOqzsatwInxYnWLt29KsTX7gGA8iA1QQzygk5Yw8KPvV+wKW5xm/tH7gYrg5ismUJUCEKzBPw9Pf6J7woz9CI5lElNdnomjOOI0XXWogeikkEBCztai9Gm09/54/E+Ch4gRN9/FCH/yglk2G6ZJJ6bk1gvU79dik0gVF6fsN3shLlJ/ptStwdE8AeqcZ9Q3qua65wrAlAU1yh9z2Co7XlEI/VfN/bYNC5DqukaIgyklT7M38vgoILnPfQUqIpNZQQaAeLZddj1Q07TIn9iiQ8Hj46DL7Hxq+wcUv46EeWU0CAZOpgxuKPul2RobhMnnISpZSoFV0VOvn6dM5iZQxWZsBpVWOq9b3dIT4lwq1TyNW5ucK7/gJX9hqDN3unRzOQpciRmuOsOKb1uXqJZ+Up6uS3uGsP8JDFmUAtq3E/UIkSx3qOk/4c/25/hYvk45YZifte653vcWmuYYLFsZrheXGGzvfUK6ZAidvUl87lvuf5U99/H6+xb30T4GmbmhJ3kOmdr+MDZO8ewB3BBIQQKKAxU9SYnhbHcMGNEqez4gTPizO8KJ+NBoaU8PR5FPHDPz8kus4YG80lq0hJes/jKc70MaW52QWWdgWAKH/7NrN54xUiTShXboNrsxwTVz46Fi2htETVFJgdk2xhvejABUPfWQQf8OzVHK//cYbJvIIUHEJwnL9dIviA9bKDVBJc7P+e7T4EiPG0wfvhAm/798k0fn/gKTdKEznBqT7Gq/I5/t78NE55HrPhkVxAQkBxiZPiCEAkaWWicGJPMkDvDS6Ha3SuRyVKvKyew0UP/UjX7qG1e55DjNi4FufDBd7277Cwq4OAJzKGJkPvE32EV9Vz/KP+ectUecTzLDgZyQPAsT5CRITmCiYYXJnrvV/PBItrs8DgDRRTeFE+gwsOIU8rcPh5vvHMS//61GK8DfTbfs16T/HPA212baFxUM7zgRVSA5EnWBvf4txcYpXMYz/FOGFgkJwiyjPo9J/N3/Gfk7+Pmv3HaJDG42GJ8QGJAsCnhGI+Bvjg4KJP3393f7L7rt3ryAQzygYvzBXOhyt6vh1QmZ02V1O8KM7wc/Ua/9H8Df/R/A2F0OOd/aBr9M6zI2+eM3PjRB9j8AM44+h8j3NzScEgMe69Xrk0bFm7FporvCyfY2XXySeQfVGiENPPs9FCQEAyALj/a2T32dAHAnx/79/i0lwflD5KiWlqnB4/L07xt+o1ToqjR1+jOePQjNLb5noKFx0UlwQguTUEewe7xzkNMWDl1qNU41Qf429hIA+uPO1+pGdlvMVm8jbHIjk9q0oBzNUMJ3qO0+Jk7LcbUeNFeYbn5TOc6RMUQif/pu225Ft7VnHGSd4HCpqZySlc6VDLGp3vcTFcJjPiHg52bxgmx5ebzHiyxHhSXKKJnx+CxSSz8jFCS4GTpsZRU+F601HcfW+SJP6QijthHANat8LSXcFHj4KXKHgJBo6CV6Mx/o96mBKcQ3COUgKFlCidRCUtJCcmVCXVmBa8tgaVlGi0vtPP3L3/XSB5f7YvOR8ucW4uDvLhIpYReU+eFsd4Xb7EP+qf8R/N3/CsPB2xgMdan0XyW61EiWlsMFdT9P6M7vGkLun9ACCmIJH9gafeD9i4Fi/KZ1jYFTauBSQ9G28jIryP9+K+3s/7PC/fBHiywaP1Bp0zEFygFhq1VPAxwgQH411yZ5fQDyAFqkSJ5+XZSKHbNogU3ZgnLl8zjnaZJh8jJKMHhHjEp3A2+CtEgdPiGP/R/A2CCbzt3+Ndf461P0x7CwAuWHS+w9KtUMvq1uZxMUZ4F2AHC2c9+tag2wyQkkNIDiEEunZAuxnQrgdUTQFnPe1RD9TeBAT0fkgGuyv0fjiIGpnNPZ+XZzgtjlHL+/eL2LcYGKXbqSlc9DhSs9F01CXz4dvINAICTLRAYNj4lqJFLaWn5aniU6+AgCEMKbZ8hc53B53ngpPp6fPiDM+KE9QP4AtySBUiS3MijoY5JnKCSlTwKZnjNuc5IsAGB4YeG99h5dYp2lWME+TDzUApZcX5AJOApN7aMc3uS7XoepyvW5yvN3gxm6DWCs+mD+Ox86nyKc4bILbIEAg06v3wEbMmT+UaWWEqJ3iZWE4vy2d4VpyiFtU4AX9qxYBkEo+PDMyfYq1di3f9OX5pf8f74eIgJkyeWBa8wLPiFD9VLxMT5hn5m3HxiJDEp4szTlIwAZzoI/xcv0JAwLv+HO+GcwzDcDB3IEtzf+veAACelacoRflFKr9IknJibLMbIFE2aL3Pysy2K7PA5sAEUsklZmo6DgdnajomcH7LsyuZJJN3RBybRWLX1YgOY/Lh1yve8C9cuw2WdoWVW0Nz8hH9FibJW+kocBeEYSob/FS9SoCdHlPqyMtqAi2SiuAJrMOfKwakPYFMoNkzdL5DJUq8Hc5heoNwoN9NjDGBTy1WboNGNl+8bgTn0FKg1grWe7xfbfBuuYbzAdZ5TEpNAR/ykGuGjYEDjFHaFfkfWlD8iIDj7qDQnh91eMUYYYNH7xwUJ+PoGCMkZygkbeWVoFSz+yoTDK6Ga/zS/YHfu7c01D84JbxAIysa6Nc/4afqFc6KY5Si+ISQ7HGLVETUR0zVBC9SCFklSrzrz/F2OIf3+6evkiE4+Sa/G87RyBrPitPRSuWvWt8EeDLBY2l6XA5rFEIhFg1KIQmQcgYbN6ASGo3EgwBPpSjxoniGiWgQEG7QaLPs7msbC3oYBwzekds7l6mhu/fD/WwRTV6g5AXO9Ak9hJhEiIESmvaUY+2WTe78S7vGXM5uLV0j4MnDDg7GOPSdQd9m4ElASI5uM4zg06QngGo3pnXfCjEBT3adAIn+oBSkUpQ4KY7wc/UKp/oE1RMCJHLK0nwHeBqCwRDjrZhtYYcyunFkTrywS3DG0aD+LoCnGCMGb7Bya1ybJaVHHLAIlkLjWB3hp+olzopTNLJO0cDf9lxrrjFVDIorzNUMU9WgTuc5xuGW5znCwsKHgNa1lHhmVyi4RpQ1JL/DIz9GWB8wWJqwXXc9rttu9G36Ui1H4ImeSWeT5t43t1+qEMP4vvDARlAmJ8btFgNDs+M/8HP1Cj/Vr/CiOEWV5CCfS6H51sXAtlI/9u0ZA1+qDw3FL801Orc/8CSZQC0qCk8oT/FT/Qr/Ofk7jtQsgYTffjsrGAe4gogCJ/oIIYaUjCrQ+h4XwxUOEcZkk9Rru8Dv/ZuRzXmqj4DPzFSzv8UukJHX3t2E3fu8O21KIs3A00FM1RSQ8aJ8hpflc8zUFIofnqp1X0UJkuTvdqwXmKpJGtY5wONWwFMEgVTBR7S8xdptsLIrrOwajayTD+bjAk+flh5v/71PTdUEjHHM1Swlz/E0DNHjQOQpe9EBO89WRuvDi/JZSpCSMMHiYrjai+W2W3QfG2wS6Dj44Ys9LGeMgKdC4WrtcL5qcbFqUSiJWV1gXpWotIISh10z+XelPVBM0fQWPArwyOGj/aQn4o96uAoxEnPcOQQhUIYACpThKCQZzgvGIA6NB/+gIiKG5O30S/s7fu/eYGFXew97GWjYO1WT5EX5An+vf8LP9evEOCq++TOc1kQJJjimscHL4hlkej654HFlFhiwv58ssFVqvBvOxzTOmZrewmb8z1sPCjztSup2/9x5g4Vt8b5fo1EapVA40tUIPC1Mh6AiFBdoxtehGMHdpXCU6bH884BPNW/bxZK+IhnptE+SqVjYOb7d8jHAA2CRbX9WqoCI3lu0zsAGjyCLERygg9l1o795HNsj2R5vbvzG72H54f/pG3I3OldzjWM9H1la12aB38QbCIiDFwcXXKL+rtDpfn/pGiMNujUOXWvAeGY8cXQbAzM4eO8RQsCuH+KtWU9x2xjlFIG122DtNkladAggQSksr6uXONFHFHv/jRshxhg024KhMzXFVE7GiaoN7lb2WPl9ctGj9R3WiQmjuIZiEjWeBsj2Ue3c8348zzQVvP00+WYVfJtIdlockzzlgSm+t6nMvCxFQclb2XPKYYx5/lrl84zxPBPAWImSZGOxPHiwFEGSuc5arIcBV5sO79cbbAbSfbLxXx/XohtGxtO8KtDZ/WUJd6nd9+VzlYEkySmB5FmS8vxcv8Lf6tc4K/ZL3vwcsPbQcuzdNfEpVkxSjhAD1pYk0r90f6D3Pfqw/1RRMjlG278on+F1+QI/VS8f3a/tS7XdxJHsiFJ2p9i4Fu+HC5Jppfck7HlnmGBwbVdg4Ch5iVN9TCEhn5FR582y4irFTYctqH2f183OGm2CReuonzDBHLRBl0xgmhI7n5enmMrJR4bi36KypKwSGBk8E9kkr81w6wAM6jcDuiTPINnVGjx5T6rxfO52wLv1uebpw++PH3zmQ6uL3G9TZxqwpaNzcDDGR631x6+zm9O3/UotKvLJLE5u/LyYrr9dZtVoYvvEnmO7PXctKpwVJ6hFCRcczs0lFFckuzsAts33yCb1NmRYfnOtyvK6LLFjjJhPNgRcbTr8++IaR02JQgnoqYCWAuKAUJGt5InvgNEhhRY5uMgJJE3Hd3OP84RO2J+sKLU2oHcWIUZUkpJsJedQTEDx+7tdQgq86H2PK7vAH91bvO3P0Yf9h/oMHJWglPDn5RleVc/wunqJ19WLezrau1e2JQAEmKwBsBTswHBlF/i9e0OyeIS9f38a9rc4Hy7BwTFXU7z0z7+JjPqp1IMCTyFGDMFh8A4mONjgYYPHyva4NBusXA8woPMGvXdovcHaDVjYnpgYkqhoNniS4KW/bwOltmkhUXAyXvMxJukcJba4ZF4ruYBiAowhPbQDJBeohEYlFVwI6LxB52xqwnJjTAtvAAFgmgmi7CdAyMeAy2GDS9Oi9xanRYNT3aBRBWIkYIqMyeh4GTBKBxljI5jmQoBLxyxYfoCI8XcrxNdPEWPEkqjGNL4J5mqGtWtTdPiwf2pOYjyt3AZd6OFuyXiSSmB+MsHrf5yhXfdQWqJvCWhijI516C2qWuOnf5zh9PkM01kFwffbMOUJoQ0uRWCSZMZFD79n654BvjKZ9R7rORr59FhAHGwEJU7UEVgEjDcwexo+2eCwcR2uzDVKUaAW5ZOeW9H9TEBo7weYYMbGZ58GL+vHNdeYyAZHao6JbKD53TTxD1HkVUNeYwwMJti9N+UZZLy2S9SSTLCjOvxM54lbay1aQ82PFgIoNE3b+OfBO844jCPQqlAS8p6mcvdZGfSrRYXn5TP8VL3Ez/UrnOgjFHe4Rh4zve97qJwu2Pke13aJtdug9z1stHsNDDh46hNqPCtP8Y/6Z/xUvcRcz56cr9VuZWkgJIFQZ/oUL0piAm1cu/d97qNH5zpwMCzsEmvXovcDFFMpQezmvUbyfIquH/uDGJJEk76f3wNLzEcPGykJrPM9hvTc9h+AYl+rbZKWQi0rzNUMMzn9YurXtyrFFRrZ4FQfwQcHHxw22I95HhDQhwELt8K1XSQbiBoBPoE01MsRCCSABAwEhPRO8Z0eMw8etx5YBPbQ2kn3kABjfIfpFkcGeogeNhq4YFIPW0LzMn1/ln+z0aQeyGBSJLAVpBzIYHOMYQQ0aF3rYUIPHy0kL6C4hmQqXX/iyQIZZDquARkxkQ1mkoKJGFgKetjvHg5JarfxmfFkPmI4Wx/QDgbtYNFZi8F6DM5hsenhQkCpSDrbG4eLdUu9jpSYlvv9bluyQBivEckUPKM9gI8OPh5mpv6jDi8fIwbvsLEWJgRoIVBI2i8yRvsDwVkaLBx+3/jox/X50lxjaVdofYchDCn1/HbnPLPmFJM40vNRAv+sOEtpl0+zWPISjKgwkxOc6CO8KJ+BMYaN67Bx7d776SEYrOwGiims7Bqt72CCHZmfT/U591D1oMCTR0DvLda2x8YZtN6MUrq1HbB2AwTj6LxF7y06Z7C2A5amQ8FJegdgR4Jn0HmD1luY4DGVBSayQJFkeiYBVIN36IMFIlBJhUqQr4mLAS54VEIjFkh/z2Fle1ybNgFaeaIQxo9aaFRS0+ukKEEfA970S/zRLrBxAwZvwcAQ0tdo0uXpeJ1NCVMajdTgjKWfE0ZgbggOmguUgo53IkswhVsBT2PakWC0CKop5mqGlV0TMyRN3vap3Cwu7ZokTbfcEEglcXTSQAiO9bLDZtlhvepgB0dAXohkSF4XODqdYH4ywWReUbLdXvdehA0OvR/ooegHmGDhgttr4rSlFDMUyXD6WB+hSPTvp1SMkd/TXE1xqo9ggsHSrYE9ST8uutFvo5EN5mqGu6QKPnS54NCHAZtdgPGg88xGs9CJrHGsM/D0xM4z6FqcySlO9TFM2D/dDqAGonUdrswCE0nmiXeRt8UIGE/JdCPwJMX2Q8gvTliJKWVQSgkpntaGESCwb5oAyZflGQFP1SsUokBxoB5/l/X6V2suPldkKL7GwlDs/CoBT/tME7NcTCTz92fFKf6j+Rtels8wkY+bcLZv0QCrgOQSR2qGs+IES7fCxXAFF93+AHPwaNHBJkNUAvIGlKm5/xB4kozk+cSapQ2vT8ATsbbFCNLfpXwMMN6gDwM63xPTKZA1wT4x3FkWq7hELSpiFakpNFfgT+w8KyYxkTVOk5F867uRNXLbijEm64AVru0SE1knULaAjxY+scUEU0l8R1KoEB1xkhj58MQY4EEDGoYMJvId4MBBcg0JBQ6ZwKscSpMHoxZ92GDwGwAMtZiCJYByeywkU+EJBKNj8RBMQjIFMIWQPuejA/1tCTCGIXRo/RIm9ChFgyo2gAAEaKD8VEskaw7BBCaqGVP7fAzpntpPlrNlBbYEHIePpXbOe6y6ARfrFuvewDgCnnrr4P0WeOqsRVzT2jytDl23YjpnBBRKLuGiRDZDd9EhYL/B34+6W4UYMDiPjTWQXhDwJCS0CAlwYtBRQAl2Z+Cp9R0WdpmApzU2voUJJj27b3fOeZJzK65wpOb4qX6J/zX5B6bJKuSpFk9EDsE4pmn4+6I8S8/FS+pV9thPR8RxuAMAS7dGmwYxlFLPcQAx8buuB2c89d5iaXssbY/O25Fd1DpiOQ2JyeSiT0CNxcYZTL2FSyfKxYA+OGzcgJUbsLI9em/htR/JvX0Cr8aP4EaAKEa6mPLXjPQohUJQRF3cOIPLocWQmqL8d2iSBFjpMQSHXigoLiAZR0DE0vS4GNZY2h6NLHCsG1RCwQQ/Akq9N+gSKGWjhw0OnPHRlNwENx5vJchgndJ5HEK83ZR9N+2oEtW4yVyqKWwkpggOSM3p/YA126D35tbAk5Ac9bSELCT5ObUDujUZied913Reo6gUTp7NMJ1XKGsN9gW2xKeKmiKH3vfEeAoESOyLRG+NVonOXgtCufkOrfqpFEuMp5mkJmdhVwdtsDJ76NouceTm1CQ9UVoGSaQSwOhaDIEAxr3PM3bPsyZPGDl5EvryTxWZHBL7bunWUGx/cIzAY2ogjtyMpqh3bBRDBHyg5EspOJTgkIISVgolP+svEGJEZx1aY9EUGlo8rSkPAyWcHKk5XpTP8Lx4hhflGZ6Vp+P3fAja7Saz7sJK+fOZYetjBGfUDHLGwWL+mTcl118+uo+/K3/ue6NpD8Fgadd4N1zg2i6pqY37ef7k5rAQGjM5wVlxjFfVc5zpk8TyeVqAxG7l44uRzLLPihO0voML/iCAmUIXTJqqrrF2G2x8h9IXYKKEwk0fJJ6mrIqp9CHhuIRgMnlbbtfiu8hofPQYgiEWl+8TwOX2egaRiyWH4OS3kVndjazx9FZokt01ssaxmmNl17jk1xTcucdjNyBg8ANWlsDZYzWF8T2sUPDBwqV7RTAHwRQiAlyw8NGCgUNyBcmyjJIAH84I7BFMwkcLGwa4aMiKgUVIHik+PFh4+JGpFKKDDT1avwaZayvoWIEGfwY2DKn/1FBcpzQ0AxcsBJfwTEPCp6RNAx/pmGUCqvqwQeuWGAKxwiSTkFGBgyOypwtqZOmsAtCIGlM1wZGiNdYEgw3avcHGnLraOtrkf9jj+BAJeBgs1r3BYB0G5+BDQExDIACwzsM6j3ldwfnDDMAz+w1IQzsIcCa2TKc9WYs/6u4VYwbzA1yINMgTA3QglqrkHEHGpIA5HLT1MaD1HS7NNS7NFZaOApv2lUdnZm+dhrwvimd4Xb34JAv3KdVWFi/HAfXz4tnI1L5ii73n9DY62BT2tbYbbFw7JrsKQRK/v1I9LOMpBnTeYmE79N6i4AozVaL3FhfDBm4IkIxDc4FCKPTegTM2koM/8kdKcjmfmEsBMQEHbARxbPDk0ZHkao3QaGQBF8PIhhKMj5TBkD6f5X55o9DIAlNVYCJLDIEAq2vTYq4rVKpCIeh3mSqSKU3TnyuhMYQWGzfABo+Cy/F7Bu+wsgMdNzD6yhRCjYyqRhZoZIFaqoPSCTjjqESJuZphqYgiechNHmKAC45YRNEh3hLh3abakbF4ux6wWnRw1qGZVZhMK1STAkIKmMHBDA5FFfa+kWOMSQ44oPPdJxfq21QGIkpRoBIFpX59yazmGxbJDSQqWaKRNQqhD9pgjaCi26DzfTKOf7pNhAueAEbffZKCfpsSiRpfiAKVKHfS3Z7eeQaoAc+brJJriAOeBT4G9MFg7Vp0jqRMdznPnDHUSuK4LlFKSfRuxsA5ozQVsfWx+bBipGe3YAxnkwZNofEU8JLMeBQg49vX1Uv8o/kZz0syEv+wdj0L85ACYGOqKUXV0/pEQwUaLCguUKXnvEhUeNrYhZH9+qmtffYV4YlpG2IcN+7ZpPcJvI171eAHXNsF3vTvcGUWKbJ4v8q+Tkd6hmflKaZyioLrJBP7ft6RUhQ40vOU1rnGu+Fusl8bHdauxcVwORrgf5ie44Kj9DTfgjOOIzXDkZ4nRtL+pt+fK4qJN6MUnliq+1WW2GUJbD7HTxF0ArabrYlqUMkyhTnsd6QxRpho0foOK7fC0i2wdDU4s4hZbpeYB8RAcbCB5HCCSWheQPGSzHIZMaAk9MgO89HBhB5DoFTYwD18VOj8Gp1fw0WLRs7RiDkk1+CB0uYi4tgbUViJQR9akvwJDgkNFy16v0HnCUDljAALF2wCpAw0L6F4CcU1Or/GEFq4aBH26DOfUkkuUQvaoLa+x8Zv9gYbgRwA4xJA6z96L5QUmFUFYoxoCoV2sGiNQWcoXba3NGwXnNYi+YX1+GvFGQePEjzJHbP0Ln+NMfHdDTy+9+KMQQuBWkn4EGG8x6IfRrYTZwzzogQHQyUP39q76LBK3ovvhwusXXtgSniBI0Veysd6jkpS0urTfXp/XNRnTPCsPB3BuLvIu2OM6EKPa7vAxXCFIz2DZPLJqS4euh6e8eQslqaDjxGzqsLLaobeO7gQsLI9JBckMeMSLaeLMiZ/pY8f3CwxIAJsDMmEkI0acpPkdo3Uo6ytlgUaqdE5i4XpMAQH7jls8OPmwXg3MrBCmlTPVIUjXeNVNcfbfomNG3BlWlRCQxUCM1WmD9qcEPBUoJIKVyZi4wxc8JhWJZ6XU/gY8bZb4tz2sMGTj1OS1jVS0XGKfNwFJOcHUY0F46MP0FLPcG2XhwFPCHDRkZ9OcLfe7McIOOdhBoe+NWhXPVaLFpwzzE8nmJ80KCq6yayxMIOC9/vzMG4wntI0NRwwgREp1rJJHjiKySf8WGRQLHt51Sh4cdC59Sm2eeU26Hx368TCb1E3GU9dovvuvwjylFDRiJqAJ6bGzfzTKwIYS1FiohoUojiI2eajx+AHbNxm1JTfZUrJGUOlyH9jUgTw5NmWmx7OP3/nSM4gOf39SaExKfSTaFx5YsIpJkfg6X9r/oFG1mSG+0Htgk7ZcxAMlGoa8+SaAKdNYucubY9KKMw1GfhrIRCZgORIHn8eNoTRP/Dmu0KDlZz4lMEuBgBcJpDl27+P+1TvB1wbMiwl4Knf+zUEE5iqBs+LMzwvzjBTk1H68lTv6k9VKUocqzmAiHfD5Z28xABKj1u7Dc7NFQpBA5V5nN64ROi5YNC6FrMkW6tFjYVdYmGXGAJ5Bt51FOEjMbE2nqRDt2VN79auf2Utq1Fe91TP8G4/kdeZfY814KYZ+8rWWNoSgtnxtTLYZOMAG7YfkmmUokEpamheQfMSmlfgnCNEkrdl4Kn3a2KuIMIxi5W7xNJewAYDlmR1ktNmkTydtuB4BDGbBr8hBhPXKBII1vsNVvYKAdRXRABuPEaTjq+BFhVcMHDRpGfq9yndyqmGmeV2xQvsDTYmCZuNNlkJfOxUqgTHtCpQKIl2sFj1A1a9hGhJ+tMZR+sx51BSQPLDQHhaUfgNZgqNO/L5Tybz+PZJwH+l4pxBc4FKKvTOJaNxWjvZ2MsylHcAnQAaTK9dBp4uKbDpIOCpxLGe41X1HMf6KCXMCmTz+u+hFFeYygYRESu7QS3eguNw4CkgjN6WF+YKitMA7a9WD55qZ6NH790oScieRSo9FLcJCgzIVMLRr2lrJJ4fwqPx4Y4XEzXu2+8VjKMSGhNVok5gTowRIpmQ50k0Sf/s6DE1jMATTR8E46ikgkgNf58MyGWaXpdCoeASOpmGSy5Gxpb1Di5tEHRKrKF4SgfjM908ohQqXXzFCJjV4vBNGWccZYqunNlJMuDcf9MaYkzvK01fbgsNxRBgBod23aNd9xgGixAihOTQWqJObKehtxg6A6UlnPVbsDHV137/bC4+BDNOUw9lwmiuxmmq5Pfjb/EQxRhN14idVUELdRD6niUQ4yQ67j+JfsxyaXLeh4G8Lg44WjrPJNUoefG0zzO2PiyVqKC5Pug8BwTawPiOfNoOYBzcOC6G0ZtJhq1c2IcADwa2e/vFm6bazpPxrZYCSjwdqrXgEiXXKEWJIz3Hs+IEL0qK0v2QZUYbqEC06XF9os2V4x6OkweG8SS1zgmtV2aDShKgIBiHDnIcLGRfQht8kuPxxC7YMn4LLqGFBAdPrF0LMJb8Ag8Dnx+7do2L+zBgYVd4P1xi4zcwB7BsJKdJ5FlxgrPiJCWcHfY8/JZVcI2oGoAxTGWDUhRJhhcPYvBu/fuuMZE15mr20T0fiTcDHz0xihgxilqv7lWimJ8/ffJfPGhgAPKvLHmJipcELibz7KdYeZ2hfoLWmX0rg9ddYvl2vsPgWxgvRi2Ai3Y05rZhgAsGNhooppNPk0eUEYLttvgxAUY2AU8bkuMhQjCB1i2xdlewwWCqjm+kloVkJL79b4ANAwbfjsCTDiVsGNJxJRZT+jsZYLLB0PHB3/g6B/9uPYMkk6hFibmeYWKuk2/L/tdnVhmQD9rHUjbBOSrNUWkFKYgta53HoCRKp2CLHKjER9bTGLKdXuvu983H5+d7ARG+9+JgkEKglJIUPt7Dg0zHYwhj+MshA/jd9TkPLy7NNa7MAp3vDkwJL3Gsj/CyfI5jNUMlyu+iV9ktwQRqWYEzgSM9RS0rKK7APR/fr30qJP++hV3iylxjKptbB3dlj+QYI7wPcC7A+TDunW9z2jljUFpAa/JZDYg3ng2ZP0+fz38H975XelDgCamRVlzABIeNM3jbrWCCw9L2I7DUJ1+nteuxsvTRSI2l7bCwxFKynh7E5NzPoTiHiwFrR5O01hm4QEAPZ+Tuv0u7Z+lzinGEGLF2Pd50C2yc2R5LYlFFRGzcgIthDck4rk0Hm1IEJBMQyQMhYAusdZ58qwACzwTnCCGidQbv+xV88ruSjAFC0H/BtmkE2f/jjg9xDoaCazSyIjkW1zhEjEETGJKM+PS+3Ka8C9gsO1y8XWJxsQFjDMdnE+hCoWoo8c8MDt1mQLvuIaTA9IjAKc6xl/wmg2OUlHNYwgYDh2QSBddP0qz0ZqX7iSloriCZADsAfY+R2GIDMzDJ1+wpS+3iCC67va7F3WJgo6xSjcyIp1s8GXoWXBGgfeh5jgRUbE19755q1yevpkU3YNn3RPFPi1PETX8IIKWAhgDrA6z3eDZtIDjDrCr2u+EfoEpeYK5nOFYzHOs5alFBMvHJZ3GIAa0bsHbkV+iTTA6gdSknO2UGmB3ldsTG5KCAi12m3ZCApME7lEKiEAo6BWvkcI2ZrjBTFRQXuDYtFqYFA8OLagbFBDR/2GX8PooGRA4ueQ5uXEsm2IGA731LMYmprAl40sdoZP2kfZ0+V3nwUSUpWZ2YdjZY2JQAt0/tJlkeZ/++D+55koMpVKKCjz75bG3QpcTQzKG78xY1SUjz73HIYAiJkai5guYaksknCzoB23VGcw3FSap0yDvpo4eJlliqYJC8gOQaNvQwYYCPxF6VTBHDhRcoYyBZXUozlExD8wqVmIClDV/2ZTKhQ+/bBPw4cCZgQp/MpFlKsxvAvcTgW/ShRYwBBa8JPIp+lOsxDABjaZ2mZErJNVgkcCQwn7yhSgQR0vElcCbGlLC3lQ9+byWZGINpqrQx3feM5/xBWlO+Dh6EENFbh1U/IISIWV3ieFLBOI8+Se9oHd4/VTUC5O0VLWy0iAgjwylEDw/y6yIw4vs7X99rZVsZJQQaxjABA2c01DPBw/qARh1m0ULKAj+uz63vsHbtyJQ/BMwqeYFjNcOL8hnmanZnNu+3KJ78k0sBVKJCLSo0ktZnk9iJ+xSRTyjh7lqucLZHcJf3AdZ6GOuxXvdYrnosVx2c9XA+wPuQf8hn70qlBF48n+HFsxlm8xLG0wA1IkJz6iUZMGIzDIAS28/fVz1ox0pmhAQ82eixSSCRCR6rJDmzIYyyhHUyD1/aDrXUoyk5ASAhsaZoYZdcwMWAjRvQeaKmuugh04Yh+2jsUhBpMycwpCS7IflvrGwPkxhKeeO0cQbnwxo2GYW74KG5TEwtWsR9jOnrlMjXugHZh0MyDo+A1hmS9QEwwUFwDh75TmPHxkl3Pt67FGccWmg0oUYj64PZEpRwAjiwvWLrvQtoVz0u3i6xWXYoao3jsynKSqOoNEKIMINFtxmwXnRQhaLEuxAQI0cG425xhCkFiTYz/sBpGWeUllPwguKn70CjfOgiXzABxSU01ylJ5oDJGgjIGZKnxyHTjMesgG2SyqHgyQjkiC3w9JSRJ57kX3mzddh5juQ1BHMw42C3IgDjAlpjcdV2+H2xwh/XSyx6eu6BbWXSu43KaL6dfgUfIuZleasJzUNXKTSOUnN0rOaoZQWRFtkPgScfI1pvcDlssLL9DQNmn9i3iglUSeJtY0pZDRYmOLhIKad5g+FCSIEXBr23mMgSE1WgEnoMwogAnvkpQowohMS7fok33ZJYcVzgWH8fNO0AkpGQxKvDxrcjhX/f5w8DS4ynBs/0CU6LkzRN/R6BpzQ84CRNyI1t5xmCD/sDTzlQwCyx0hTL/hFzIgEjlSxhvEVrl7DBjvepOsCX6FM1PrfTtX8IUzWHf2iuoMXTl1Jylo3QVQJYDui9suwqsV/IQ66AYhoGPWzo4aJLUigJxYtRALVbkmkUvEIlpqlPssSMSoDREFoCEYIh4CkOiCBmaogeNgwAGAbfYvAbYnMmhtUWeGqpZ3YhmZszUgUw8pQKKSkvH18eTlBwT/KpSn13+E4NqwUndvJE1qhFefD9EyKJE11ilX2pz/EhYLAO695AS4GTqsDptMG6H3C+3GCwCcxPyFNktz8iYkR62JhkkIij4TJdQ3ZUQnyHp+u7LcYwki4KQZK7SioY7ymwy1o0moJb9q1saTF4g8732LgWG9eidV1iKO6RQpqutCqxyF8UZ6hECf09Ak8pTVVEMcq9G1mj9wOij3Bwe+1HcsLdyq2xsEt0vrv1Gu9DxGAcus7g4nKNN28X+OPNAn1vYayHtW7nfvz0MZWlhjUv0dQFJrMSNhBpJ8QISE1kBkbAU+sMOBhqMEgW79U780GBJ8EYSkHm2nnKm98OLSSmKNHI7Y1CMjGJiSxRCVq0QwabOIeIDEHSK5BrP0P2xOBcQDFBJq6Spsa77KTdY5GemEkBEWAkhZuoEiYl7NkU1R6SUaxkHFJqMteVBVRqfjQXqKXGxJcohAJLPhw6SecUF+PUASDJRCnSopRQyVpqlGnKnWUWdykC5kiOVfICih82IaRGIFPyiVodYhyP7nOvGZLUrlv36NoBulTQhYIuFXmUOI+ht+hag826Rz0tYe3+C1hMcsgsswyHAhJpoqq4hODiyUs1CKSUUEyOJqv7VmaKIVCTc9sI829RN85zmpwfxmwjwFoxNTJanjLyRNdlPs+HbbZizA0k2wHt7lpx/HcIlAo6ODeymWJEYpuyMR2L5VCIQFTh1hgY79OmY/vK34LIUIgCR2qGl+VzHOkZyi/SwUlWaBJLN9v7ZtDJhwAtJCJo4JKl3/lZaqMHAkvG4wRKGZ+AqRSswRlDjEDnDVpvEWJAkWXdQeE6Sfc4GDpvnvS9u1s50GDjWmw8JboMYdj7esy+IzktZ6ommMgm3dNP937+VG2N44EIORpo16JOlgMWwH4TVR89Oj+AszU2rk2MmZsy9gzCa67hEqvOR59YMjz1TfzOJrAx+ZHdhfGUh5eS7zwLn/B5phQ+6ickz8zJfYueJzYBdgAxmgpRw0ULywfw6KC4hmQaIjGcOERizpAxNfk8lQRMRYaQ/Og4k1BMQycDcpES5gpeErOFcWhRIQsv6PsLRMT0vRxAhGQSipeIiWlF30uMKw6RwBPqHTk4ePo5IV0PPjqIoOCYShP3EpIpMIjE0Hq653m3aHNKPmTFyMrD/oE5yCmofuy3P2c/QQNyjNIbxtgosfv4/tiX84SdZwZLhvVV6rvIZ1c+eXXAn6PyEC8CMN6jdxYba+g5zTkqSOTnhQvUg+Sh3z7yyhiTr1waCHW+Q+9zIM3ti+5znuxuyjFhXTB5kOz4Wxdj9DwXDMRM5iUaUWMjOtjowPx+t3l+nzeuxcqut1Ynt7CZscZhuexwebXB+/MVzs/XuLreYBgcXJLe5Yb6c8fkfEA3WBjnYAKFnV0NHfVnqoBJLKeNM1hbA8VFCkCTe1nhfK0eFHiSjEy4AUp0y+WTObgLHqVQmKgCU1mmzRbHXFeYqBJHusI8mXdnAKcODlNVJBrYDkMoATmCMfJJSoBW3pwrLjBXZO5qgh//Qk4gsjFgaTtcmxbXpsVElTgrJjgrJzeYSTNVohTk+3SkK/ytPsaJbjDTFeaqTH5PEo3UI0tr9yL48HQVQiXwiW5McccTyhJ7SjIJyQ8HJ/JR58lLSP8wsK+DYwxgnL4nA00AwAWHEAxDZ9C39GEGi+CTsS7bV2oXbjJhDthVsyRxzM32U25qAXqwixSHfShMOTY4wAjkPOXBVUh+JNnH6yCpXTrPgosxWeMpV76Pt+f5sHs4s9sIALmbpJKDQUuJBol9xximpcZV2+Oq7XDVdkCMmFUlZmUBLUWalDJsjMF12+O666CkgOD3Iea5e5WcpnIvy2c4UjOUX5jK5XWkFAqD1GjdgM5Z8vJL+vgYM8hiaY1ijIzH00BCcwnHPCgKPQ0voh4BpoJLGlikezJLSzduGNlRMUbaYDyB9++2ZQN5D12aa6zsJgEi+xUHydIKrjGRNSpejJLj+5Cpf9vaDowaWdMmAN3er0KAlQFzQDeGbmzZ4tufRv/UskIlypFl49M1K1Mi2l0qv6YLhw8MgMQiYum5/WQDIajG5zYExMHP7e17F2IETxv/WswhmEIhasQYEggk07XPwbH1HYkxoBBVApAYMaVZAcY5ooyQTKOWc3o+Q6TgAo8QHSgJcYJKTBK4wKA59fHZGDzGSGCVqBMgpeiaSf5b7INjYYyP61hIsros8/NJslWJKUrREKiBp81s263MylNcQfAMzO1f+f7Y7bdzz/3heyEYg1YCTakQQsSyI8n7YB06Y8fjIkeP/d7JzKyXTCLyIgFrGmWoUAqSepa8QimqJz+o/d4rRBruuRCwGAa8Wa/xx3oFxhhmusCsoL1wZx1aa/G8aaCFwFFZ7nXOAwJ632NhV1jYJVrfHzTUkpzsLApeoJbZN1ce3MM+pRIQ0IIGXpXbpFCU/RBm8tCiUKyNbzGE4cba+KX3qO0M/ni7wD//eY62I5ZS05SYThi4IAui/FM+V1pLzI8rMMWwtgbv+w3+aJdonUlhaQU4Y2idRestJlJDMIaJ0lD3qAZ6WOCJc0xVhUpq8sLYYf9kRJ0n5FYyYg/NdYWf6yPIJNHLetX897bx0/FGClD+epbZydG8nL6uuMBMVaiEJqbTjv4ZyZPkXb+iSbKzmMoCZ+UEP9fH6XWRGjIxyu3mqkYlCGCiY6XPN2laMXJw8kb5EwsAgR7b1KL7uDnzRFOmCdOhr5nPURgZT4E2V19q8keWA33dJeAphAgpOYTg6Dszgk9mcPA+3Pg7tz26LCXyGZA4kAnDwUe209N+OLIdQCJJPg9is8Xx/foapfvbVw4RuNsGhmCOBOSM99rTre3k6HBAdHuesVdAwOeKMaBIaTmllJiWBV7NprjuOvz7coH8FH41n+H1fIpG62RyyvB+3eKXqwWs9+NA4ClUucN4qkSJ4oPo+d2iqTJJ6frgRpm3CW4EjQAyIO9hE0OUoRAKknFoLlEI8m/ino++UBmcE9nccceX0Cb9/cYNiMkncCt9eArQ3e3KpinflbnG2pEEbN/ijKUgiBqNaCiF9DtMsvtUkXRSohI0UW15d5B0MMSAwVOiLiWWmhvP+A/Bpxy2oLhC53t0voMLLvkT3RF4GsNfHHw4lPG0s+bxp89UJUD+5jpzSIUYEBkxzjkENC/RyBnKWCfrg+17sz2n+b90rnmS4uU/M8YhIrGdajlNElf2wd+if2cmFMBQ8AoTeZw+L8AZsSyKWGMqc3+c+7etSPnj2fvNnzT+nqkTJ+aWTNf9/fTCj1G05yCgRt5xqJXX7BAz+yl8cnjMOUchJZpCY90bLNsBnV0jRozM2VHifsBvREM6CRYZFNMoUackRfKBU1yj5D+Ap4euALJz6Z3DcujxdrPGPxfXiDFiVhDw5ENE7xx6R16b86Kk4ewePW6IAZ0fsLQrXJsVOt8fZM1AwxNaw2pRpURmegZ9L/fz54onpnUjaFiz5moMRbttRUTyTfMBrevGtfrDwdCnqm0N3rxZ4P/+f9+Ac4bj4wbHxw2aSqOqFKpSf3VpFIJjclwCimFtB7zv1vhlfYWF6THTBDwJxtF7CmA7KSpMVAEfAuI9upPcC/C0y0C4eQ5ooqshPvr65yRbNT4/cY4jjSxuF95PvManSoBBCH6DMvbhsdjgsXEGGzdgrivMVIlpYmx9+HNijMkMVt54jQ+/5za/831WBlKyD9ZdxXt5ahXSgsgY/+J9JjhDWWlMj2o6Hs4QQ4Q1Dt4xCMHgXYBUAs2sRN0U0IXcG3jKXlwhSQHvwubIzdt31eqkReXQ4x2na/Fpw05UcWzEDkmSoGJboPqJs9py3fbZ9qXaPoG+4Dh42+NJ4AgF2wlUUAAo5vdy00GmiUulCJSalsVI/++sgxYcWSIQx4P7Eh/0YSoPJzj46M0xU5Mkw/z8kkjyaolaaDgZkgcLSeYo4ZSMPbNfXwRQRDl6/ikuoLmACwGDIFm3SMMMmlZtz1ZOusvAU97EC8ZRCoVaaExk+d3Q11102CTT67Xb7G3KCRBwrBPbaaIoAU6ywxkGT61UYjzVskLh9EHgLLFJCKg3gcypbbDkX5gAkSxdNsGiFAU012hkDR89+mR2Oj5r70Cvp3s9SfXvAHtnKOP7eWrv9hR3qHFeycfkOPmF/vjjI2Ef/5kJID23P7eOfnzUn/6Z6tZH8vmfdbuf/7RrO+yWI+B4l7WMVuswsrsjIiK7uTHljBJmCyVhvIf1HtwxME6SO8k59MgsPuDejcRUCzHsAJwcbJdduuNxuPte/Kj7q5s7k23fjyzTBgM4RrsaGurtfw5CJO+hpV1j6VboD2U8MfJCmqkpalFBf4dJs5+r3QT0kheJ4bl/UeBGhAlm/LDBjqzez91D1nls2gGXVxs0TYHnSuDsZILppERVK9SV/ur9xzigKgmpJAb4Hbk/Gweh2Zc7giyR5Cflu3ere2M8ZSAg7yUyNMQZbngv3M/h323TvX2Vm1UIhSNdIcSAmSZ21Ke+70uvcej33GfxTPXOvhf3sHndxm3mz3y6pBKYHdd45U7QTEtKr9sMcNYj+AhrACk55icNTl/Mcfp8ismsGqV5ex9ZOpS7mBxu4yifOgizQ8WOd4JgxkXrqTN/gHxu4whaHPgqxGzMvglP+0RjhHzjoWeZajzPeDh6DKUkBhjnyYDbWLTGUCIIp0CHdjDYDAabYUBnS/KDQkSM7NG9nbJZ8daXoxgTLb/kE8RZbvAKCnHgAlNZwscAmdi5guXgiG1Tnpm9JIHmiQVCG/Jx0f/g5+bvCUlCnO95n0ADxSROi+a7SLQDMDJwFnZFSTl7ekcA1EcQUNhgKhuUvPjTNLUktSOT4lpU6Xo8/HfLUi0TLDrfQzIJndhhLjr0vsParUcGGUkAbEoz2kBzjVrunzb48VHgQ6R5/1eJ+T664+E8St18bt8JbGPbZ/dTX6P/ykXniUPiyxvH21fcXvOfuYpYWjME52gKjVornMWGWFKB/BQrraAOMpqm0J4hDHDB5COCjy5tkgfy4+Iagdc4qHX/UbcqUutwQErMiwLP62ZMb58XJWZFAQaMKqCjssS8LPfu6wMChmCwdpvRe+iQ0CGVgJkjNUUtq2S0/+conoEnWaEURVJjHaZEABIAFRyGYND7AZprMM4/ez9tiStAWUgcH9V4/eoITa2htIRWX7/XGWMQioNrDgWPs7KB8Q4nribGky6guRh9S2upcVrU5PW092/6+bo/4GnHBI02dxnvyEyD+6uHes4VQuJI1yi4HL2Xvrdnat7IAFs51p1/h9REZZPI9IM+WQQ8NSgqhWZW4v2bBYbBktwuRT6qWYXZcYPT5zNM5zWaeQl+wOqVvRDusjG/yaHbfuap1rapDXfp5ccJ1l0NZB+nto3YXZg7+Xr5lAjgqVU+1iyTOVRGOk7e70nG+6mKkUwLB+fgQkBnLTbGjjJqwT02xmJjDNaDQW9tMiL/NmdgG2FfJXmdhuL6BmD0qcqMJ8nI52mmykSTxifBo+3fy3+b7rstwH3zrO6eofHZFne/bwu+csZuSNGferno0LkeS7vCxrUHMZ444yiExlQ1mMkJSlE8GcnmXYsxpNTNArUsR5DokMpXC7GaDDrXpxRUeq8IBOyxsmvUooKPlIZjkg/X2m2IAXVLCcBtjubQNXq87jOQ88TRp3x/jvLGg4+X3fjnRz3dInklA5BM+e9lmJeHZAHxM884ntjEWgpUWqFK7KfOWHTGoi4UlDwk0TrCRQvje5jQjx2IixYmDDChRwWPMlSIe6Sd/aj9izMGJYgRPSsKuDAZGW2zosBMl5Dj3olBcQ4l9gcJMuNp7TZYuQ36MBzIeJKoRYW5mqEWFRTfhxf5tIv6Rk3ydHE44wnIQG6AjRa9H9D7AQw5Ufbz634m3JSFwvFRg9evjlCl4K7b7qFZ8mjQMeCsaMBBlg4zTddTVnEh5hRFkcLc7q/uHY4MMcI6D+M9fNguuiJRQJWghyVp9vc7bfdF9/rc60jGUSU/DrnzZn/q+29zLN9K0kMbza2Z4/1CdVuJlvcBwQU452EGBzM4OEueTd4FtOse7XpAt6EPAp4ihOTouwJ9Z1BUGqULB6EABLKl3/PQ9zpumQTZyPcp16688K6+VmTKK558a5une6NnxgEHm4HTMTHmiTdM2+NNKSUH3R/b1MaHNFQXnKHWCsd1jcFROls7WPgQRv+i1hgIxnFUVZiWBQp5WNrmvRwvEygFSewo5vd2seeUcMIgWJZRC0RBjdWHv8mHnjqf+10/ZFl+JOn+zIl/2nfsx+WiRx96rNwane9TTPx+xcCgGLHUKklN7V19iJ5ScUbRzTolY901pS9ESujtg0EVLIpknM+TebjiEj4GbFwHgKH1LVy8K8tpt1Ifkp/dB12zNGKh52AOwnjKa/R2ffYHrs9ATq/l2Bqq3/8q/ZjPkO/tebVPjQxydl9ajO1yPzIGGZLdACXD9tZh1Q24XLeQgsN5spowzqMdLDYDrbeVTrLKPRLO8k/eWmx4ePjR80ekf+4aPvCjvl6ZucQZJYtNdZGGFByN0miUHpPb72LNEBFS2lpHaajeHNQjSy5QCpJu02Do+xiM3aZY2jMRW16mnvEuktqYEo4NhmCguBoTCT9VnDNIJVAUClpLSMHBGH1eCPJP3uv8B6AQApVUEJ72WDZQTF8mDSnEZBvB7zU1+F6BJ8YYQpp4rwaDzli4QDHbUnA0WmNSaFRKoZASBbt7itt9Vo4kzRTn77mpfeh3NcYIOzgMvUW3GbC43OD6co1uPRDzLUSY3mK97LBedTADTVVjiARAuYB2PWDoLbhgmM5r7DO8zw/j0XT0wMYsSxIoMe3uBswPXTmlzMU7GKqzrSfB9xBDTk2dSMadByYFxd0UxG/HtrltZdCJzvNh1+U2bSef54cxz9dS4LSp4UPAejDwIWJjDFbD9phDiGgKjf84PcLz6QSzitIzvsWlJ5lEyUuSa+2YXx5Snzv8fd7np3333U/54NF7g7VrxwjhfYuBESuIF2SIzb4dePkQlUHi+7pXQ4ywkaj8Nrhxgq24QiNqOOUAxrByKyzdCiYYBEQUXEMlb467HAMBtXz04Tr0tXaf2z4eNqR6rMphLC6ltR2yQueBWgYHBRPf5Dn5o/ap+7YT+bhijHDew7iAZdfj3WKN36+WlC5bFZhWGtYH9MaiMw52HlAoiaOm2vOYaDSZB1YRESx4upd5AZYS7XRKvPtRj1OCM1RSJvsaDi0SKH0PDLsQI0y06HxHptfBfhEE+ewxMkpA3Geg970UY7jh5cYYAT+HKzC2cvghWJRfCU7igqPQEk1TQCoB6zyWy478pkuNSuz3Xud5dogRJnh0gx3T4fN600iN07LBaVFD7Pn6X6p7A55GCUGM6KzDoutw3fXoUrynEhwnTQ3na4SKEun0AfrjhyzyvBEQjPypvu+1/r6ZTjcrRsAah24z4Ppygze/XOCPf19iebUZvyf4AGs9nPWIIY6HNPQW7brH1fkKMUZM5/UBQABLppt3a9SzaXpuFJ8+IBG3TfiBiXQMW0AiP0CfbrHRH2dMeDsUYEQYk/HCHczoH6OI2k4A413Oc97AiAc0YVZC4KSpUWmF67bHu9Ua71ZrtIaaFx8ipqXGSVPjpK5wVFeYleU3AzxpKldgoiaoZAn5J/IheKrlo8cQBmxci873cAcwnngyYi9EQWk5fyrGU17PcmN7D8ATaF0zwcBGCw9iLCimUMsaYAxLu8TSrrB2GyiuoLlKaYF3f16w8dmdvG8OuN+zdYOPfkzGe8qMp5AHWRl4OkCuAlCqqeRixzz/++5G/+y1FTs93HkiNUlAbx0W7YB3yzX+fX6NiIhZVWBaUfpUbz0G6yAEx3Gzf8IZMWc4eR5CgKcnBzEyC2heoOAlNCueeO/45yrJOLhkKGRKfWS4Nxb7rsdf61uYlBS+b/HECCLgSf/JGE+5n74vBUGEh4dJa7SL7otrm+AcRaFQ1wWUFLDWY7nqR8ltVe4va8x2HkNwWJkBK9vD+K2310lRQ3KOuS73iLX4et2rx1NMmwzrPXrrMDiPECIEJxO8ECMG5zA4gVLKJ9dAbJHj732RvwMMu0dxwYn6V0o0kxLzkwYAMHQGQ2/BGEM9KaG0IBogJx2qcwF2cDAD+T6FkAx090jQYaAEBWqWSZpwSGMbYkhIf48h2IMiRB+rssHj4A1638MeOJUg02daICSXEE9488aw9eShzeZhEhQy8rPoUxwwgYz3f7z3VaM/i+9hgj3I6JGB3aAGPxTwRI0q/Tc/41fJTNyHMEoERFoglRSokwTgWzBWBBMohEYj6pROsn9z9NCy7/Hr3/FaFLIXXWLeUMoaNViH0Pi3jCedWDmHgRlPtW7IYhm/eyjITrqdC5khS8BrEcnTzGcWEQAt6H0tRYlKlAevqePvw9joW6WYPGgTkq+dIQzow/DV5vxbV15nOj9gSOvMvjUOhhgFIDykTPpH3WexD/57369O/bPkLPk6SUxK2g7mFNkYI2odYH3ArCpQKLk/I4btOIyxzOLz2z1edIgxQjCJAuV3vUZ9T5VThe+rsm9eiBEuONiUgmrScPaQ56wA3xle/MkYTzcGKfzOoGuMKUQmJc/SoOLz73kEyWy9D1ite/z+5hptZzCblphOKkyn5JVMKrlPXydCMMymFWbTCqLgsMFj8A7Gk0VGIzVKsT2GRmloLu99/bnXVLscee5DgAvUcJZKQgoNlQzRfAywKf3o6bYPP+prxRiD0nT5EAAlMT2qsbxucfV+hcvzFaKPmJ3UmB83KCoNzhm44Niselyfr3B1vobSMlH49rwakoyIGuXiYL8PmsQbtL6jFI/oQHy3p1cxgjw7fI/WdSSNOKCx5Un+oLneASSe4m8MgAEiHWvFi1ECsm+FrGH3HXo/HOQx81gVAbjg0PuBzrM3Bxk9MsYhuIRK5/l+Enc+rgw2bYzBqu+x7Aes+gGbwRD4ECNsMh9fdD2c9yilxNmkxre47rJJZC2rP91U7ilVRIAPPoGoFja4UfJ1CGDOMuOJaxRCQ3L5p9n0ZH8OniQuh0qKdyskDwkbLNzY1EZwiDE1jzGGgmvM1ZSYkVxAMZIz3pUJKJCn3wW0OOw+i8hATk9piMEezCJ6jPKR0qHaLCkNDvv2NlnSQX5fCvJPBrD+qMOKM0AJDgaFWVXg2bSBT4P9zHhiYCPLeFYVmFXlPciwiDnpoh39MRs5gWAClWggflya3235JGPOgBMpAtyYmr1vESsuPfMZJQX/eWp3fc7DgLt5PPmUbGej+6onYPARxjp0vUHbGlxcrsEZQ1URC6quC4hE7vjcelEUEv/rP57hP//jDHNdw3qPjTMYvMdEaTSyuaFEK4XCVBUQT9VcPKfa+RCTrxOxWAopMSsLSM5hvIfxLhmPh7tko/+ob1yMAVpLKCVQ1RqzoxohRKwXHX79n/dkPO4DXv58gpd/O8FkVo0GaJfvV/hVCfSdhdISXPC9719iPCW/jztIA3z0MN5gw7L3yNNlPAGRorBDbsIPBSS2jKdDJ9GPWVuAsbwTwGjShqB78pPzdJ59j41rMYThoMk5z4wnoR50+hQimZquBzOCTqt+wMbYlIgJtMZi0fWJBcFxOqmJBfUgR/TlytdTJSpi0T3x6/97LUpHIuDDJtYN+fQc9owlBp9EwRWKbMD9JwGegMx04SSpuIc02rizqciegABS8paGQkQpCkwlbTIYtubI2efyLpU3IaUoURwI8EYQ46nzfWJ/HmZ6+1gV8jrjW2Ilp0HWfkWehln6SAODPw9z4EcdViwlnEkBzGKBECKUFFCCY1aVmFbbDSJLPkD7Bjh9+POIs+qJaR8o5W7wPVy0qETzpEHgH/XlygE2Nrg0GLKw0d1pD0RMTZnIAPLPxXjK99TIeLp77xGSLDsznr5k9RJChLUeXW9xfrHGet1jte6hpEBRSBSFgkx7bP4ZNHjSFGCM4fR0gulJBRM8WkugYyUbvGpmmKly+zuDWHb3bYtxL8BTZjv5QIa4nBEVlDOGSaExLQsowVPanSRj8W+YanQflS+QnLKSDTBz2tg2PYu+lv8cx//G8e9u/5xSjOLNCGL63PZn0ecwft+Nr8Q4vv57c4l3wzmGYO7998/pYnkqm1tKM5BZeAiBwKewk8iVNDkxRjjnYY2DtR7Bh5wffmsAKkdP1rJEIyoUXB/GhInEhIEH+tBj8ANsMKPc4aHkSYdUREzJEy2WdoXOHwZISCbIXFlNUMsKih8eC/rQlc9zKcqUlHHYBiafZwaG3vcYvIEJdnue8fkpwbeorLdfulXyxNn/PAvG08ayoWhbph7kd3TJVPxi02I9GBRS4tV8Svf+J37c8+kEk0J/09TPXdP1p+xTkeXrPtA0LJuJjklX7GHlimRoSwzmECNFOadk2q9VSAAqmVvbO5v62+BwbRf4pfsDQ7CUbidKyH1SKZ5ohRjHKOtrs8DFcIU+DHd6zQhieoZ40xvpQ0uBh2IsCCZQ8gIT2dDQgBFDbR/APyYZyMBMksMbDJ6upzsn2j5AuejR+R5Lu0brO9hgsTfjCQyaKzSyxkQ1KR3q6T6jHqtu9NzZ9ysGePidBNgwsnKy1DezN3IicBxf62bfvO25YzLe3em/8WEfvv1K3Hn9/9n8G5fm+kEAmXydM5CvYlOQXF0KjlorFEqOCWe733/ATxo32IprxBjAJIPwEpIpCCZR8hqSfbs1/EfdT/k0GBol8He8bjeuxdvhHP+1/te4PpeiuKej/bbV+wErt8HabfCmf4eV3SDe8f3KYRRhTFT//FpRFBInxw3+9tMJJnWBTTtgsxnAOYdSAkqJxHj6PPBUlxpH8wqF3rLFSXIfsbEGF32Lztmxt9RcopIKtVD3KvO8N8YT6URjon5yVEohykjAU6GhpSRgKgRIzlGqu8cFf+vaBZ1MMBg83cA2WJiYEOTgiKaaJAcuUeoImEpAVVocQ/LD2PXGuAFW7YBUYQe4yk1l3H0NBHoI9Ofoff9470mI8MnDyRqHvjXo2gFCcggpICRHuxnQbQa06wHN1Izm4zR1vd01wRg1Z7WoMJENigOjO30MsJG8pjpPPhJ9MERxx8P54hxSERFDMFi5DRaWAIlDgCfBJCpRYianaEQNzTWerNQOgGIStaww9Q1JQA4CniJsIJZTn87zEIbkEybB75Bs9hBlgsXatViYJVrfHZQCJhLAOJPTdI/oB5EmOR+wHga8X20wOId5VeL10QyFFAkkAXavr1lZ4Liuvtnzf0x1TJOrp8yaIdmlx2BprSDgR0ByloDxhxWbkYzSo7MWPgRUSqFiCrcJOAmRzPyHQCAvPavuADxFi3f9BVxw+L17m4DDP8dUlZ7tFsYbdKGn+951d37NGClU4VDpxF0qm/hPY4M6sZL3rZjAy+gjOt/T0CBdT5T6dlia7UOViw6t77GwS6zdBkMwexP7KTpdYyIbTOXkTxdLfpfK17RLnnEZ1DbpwyZ2n91hV7rg0j2wHQxTz/0xOPURWPVBf/1h7x13hssxRlyaa7wfzg9iou9TgnOUWtEmkzEoycehxF2LAeAQEExBM0AICc1LlMLAhAEmDCh4iVJUf6Jwh79e5QAbEw2GYGgwdMc1YulW+Hf7G9Z2Q+szl1BPrLc+tGx0MN5gCBYrt8bCLu90n+8+X8ZnzBe+v640Xr6YI8aITWtgjYMxDix5aHPBwdMg8nPPAa0Ffnp9jKYhMJAzBsEZggu4Nh1aZxIjmvrLqSrwrGqgS3GvXsD3w3gaZXYELAnOUCkJzhmmRYFJUaBUMn/zXgkLT73y5GXwKYoyUcJ736Pz9JDendKZkc7obkgPXGZI7U5uED6xUH7Mogqf/J4t8+qhF8Gb7wfgE5tp6CyGzqBrzQg6CcHRtUMCn3oMfU3A0y7Ye4uLg5gwCrWs0Mg6UfkP9f4JACx636P3AwY/0OJ7z7rWu1aMgEmR5MR46g6ixUouUIkSczVFIxsorp5sXHM+zxVimpwXEAcwHPL9YL1N9yedZ801eOSQT+j3j0Bitm1wbZdoXX8Y8MQFKlFgqiaYyAaaPxDwFAJWg8H79QaMMbw+muF/e3aCo4rMDkWOnU1FJo3fbg3IJpGKSfAn7p+S/bF66+C8h5aCnpVSQPIIHtmDYsYxAsY5bHoD5wOxMaQAbiGSDDEkY2hKVbvrNNUEi/fDOc7NJbZww8P+/o9WRLsYWRcxbYDv+qLjphh5ovp4JRgBTwwMlahondnzZEUgDew8DQzShwkGjDPIbyLW/Xy54NG5Dgu7wtq1xKbem/HEUSSm2ExNUfLySQ3AvmUlWGi8HjrfjTJMWtcNhtRz7wJSLg2AbUob/LDnHvvuT/TQeSj88Z8//v5xqPzAclAKbJIo0r7qfh+BKb0LEpxzMFYAYPDRwaZnuWQSJa+eNFv4R325yNzajwCuOzDJbreWdo212+BX/LG9Jp9wf7VXfaAwuo9hTshrdHq9L60VVa3x8vkM00kJ78PIwBzrRiv06fecc4amKdDUBUhgRP15iBGLoUfnLXwMo+T/rGqgucCxrlHc41J7L8BTpv7n1CIfIjqbTEQDYL1HrRVKJVEqBfkdXIg5vtcnNtM4UYnZJJUApOxfMQQzNkTD7vfvamfDNmZ3pAmnxc8j0PTkA5ZTRkJvsppuSvby/8cb339DvPdoJZXA9KjGi5+O0W4G6EKi3wzw1oMl07NuY1CUGs9/OsbZixnq7MbPbr+J2E1+KUWBSpRoRI1aVCOoF/b8zXs/4Nou8aZ/hyM9x1zNUIj7DJHcvzJ7zceAPgxYe2LBXNkFWtcdFEueGURHek5MmA8YTyOlPWYd+HYzlGUaDOyTe76Reh5vyjrizuvldI7bTuhEAgkKoVGJErWo0Yg63VP7J2QN3mBhl3jTn8NFT+eZf9vzDGB8FtjgsHEtFnaFK7NA69uDzNAlk6hEhSM1wzSd54dgGeXzqYQYpWGdsdBCQAoKldg9z4KTz5P8Rk0rB4MAh+DiXmLr71K9dRjSR6FoI0FxyVQx0nt53XbojENTKDSFRhUVkOTsD8nYCjFg3Ru8Xa7RG4eXcYJSSVT669G9ETlVzZCpOPyd16KACHwItj9Vq7ZvXLvP4scGnYBtiAUEUIoCdZJLZ1nHvkMTGx1WboPz4QKVKDBXM/LbEN8WfNoFLkgevcalucbKrmGC2fvy5MnwfSonmKtpShh8WgDbfddWOrcNI8h994f9tkvMgz4YDGPP/cH3x62nnEspXR65597KT3fZSp/stz/RU99UJIQPevDH6bh3ZXcPVfT8dnDBwsWtB01EAONs7/76R92tcmiXizQAkpxDpbR4l74mUoiXuFVvTWmF+f46NMnu5itG+Egi751P/qjPVdzK7b72RgnOURRqtKs5pBhjKFKgl2fEoC+ERCkkXAhgnvZlOn2ulhpaiKfp8QTk6FwOwThcCNgYg9469NZhPQyYFhrHdQ3FBeQTY5J8qnzwI4C0cmusLGk7N75F67qUjpWYEwktzs2Uv/GxMxHZnZCMoFG46fH0AWD06f8HRqJe3PkzdrXrjw05UUklMD+ZAADWyx5Db9C3ButVT4hxJNS1qjUm0zMcnU0wndcHGYwLxsFSvHaVmtpG1uh8n97v/Rrb3g+4Mgv83r1FQBzTfr51+RTR3Psea7vBwi5xbRYjPXbfklyiFvUISGiuPnrrQ8wplTmpkq7XGx4zSUK1q6Ta9aQBkBgvDBG0cIYkxYXg4LfcMPCU8POp8xzTfbVPDcHg2i7xR/826ZgV5mr6zSUbJNl1GPxAMju7xJW5Rp+mt/uWYAK1LDHXM0zVBAUvHuR35GCQgqOQAs4HWO+x7AcERGghoMVNVlEhJaWdfqN1gK5fQTIt8G8qF+itxWLTY9H1mNcl5nVFqSIJ1A0xojUWl+sO62GA9RVNqtI9qMTDPuN9iFj2A95cr7DuDQolcNLUt/q7lIbkx83iDyPaR648OBj7g8ftBzgjRhJnjIAnWWOqGmwcR+/7vdcuHxxWbo13wwUKUYAzgYlsHujob18hxgSKOLSuw9KucWWusXJrDN7s/b5z0Ps1VRPM1QyVLP/0UrssqRxSn5P77dxzb1yHLiXS5gFvtq5w4WbPfUMpcMPv6WPZXO6hx/tjx+tp7LTjjf/b8X/6dI/+ZygCqwNctOj8Bq3fwEcHwSQEyOw+cJ8ULN/6aP8a5WPE4B0658jORlIP5WJA7x0G56CFQCElhPj61j6C9hYu3M7c+kfdf8UP/vlScc6glADn7OBcNsZA5uOcISTwkoAnBRMClHeI4GikxlQVmKkSpVBPE3hiIBAAglA5F8KYYpQn3m1VQgqBWVnge7Aa88mMuPUdrswCF+YKF8MVru0SV2aBhV1i41qsXYs+9DcWsr9yKSVwdDpBMy2xvG7x9tdLLC422Ky6MeluOq9x9nKOZ6+OMJlVxHg6wOGUg8y/C67HaWojq9Fz66PJ+FeqDwOuzDV+S3HdR2q29zE9RGU6bOcHrJP86sosDm51JJNoMuNJfcx4AjLTKY5TFgoOiBCJ2ZilUqOeOB0G+boEOJ8SlCJD4DyZxJLhvEwIuhS361nyedYJeJok4IlkkhbYU4Y2hAHXZoE/+LsELj6V85wAxjBgk3y8ruziYEqvZGKH8TQhj6cHYTwBiguUUqKHG4EnFwKBTJJk17nIpJohqm9jap+ldpKJby61G6zDVdvh3WI9psBOywIsBS2ECHSDxeWmw3XbIUZaY7UQUEIkevbDVQgRq67Hm+sVrtseJ5MKxt3ufouI8MGPiXa3mer9qPusbJT8+DI7YMtKFhCoeDH6MeZ4duxpnu6ix8pu8G44R8E1JrKGi6cPdPS3r4jkZeYNNr7D0q5waa7Ruu6g5zZjHIUoMNthPP35gSfABpLPrd0Gl+YK5+YKl8M1ru0CV2aBpVtj41ps3CZJd3/02w9TW2aXCxat32BhL+GjQ8FLFLyCZPJeGDI/6vYVYkDvPdbWQCVWUykkfCAfxrUxqJQa9+Jfr5RqF7M32o/z+S0qr89bUsmni3MGzslE/D6KBUq9LoREKRWG4NAJAQagURrzosRMFyjF/QfB3WuqnQsB1jt0xmLVD1gPBrVWkPom9W+3CfrW/hoUJWnSxr4ffZpaR1OWjW+xSrrVldukha9Fm6Yvbse74q9008YU7eishzEWXTIMH3oL7whg6NYDri/WuL5Yo+8MYogIgaRbYAzGOJw+n+EUpF/l8vbMg93rhjOBRjY4K07Q+hYxgqKXsR9LZEhSO4CRv4KcYq5m0CnWWPGvy0vuq+LOhG5hVjg3l3jbv8fb4Ryta8fp222L5Gr0O8yS589E1Ch5AfmJVDsfAgbnR8biajDonUWtNBqtoIWATaBUCJHYT0lTF8aHaByR+d3kmForzMoy+RTwrXzvE8+Cm+eZo5YVTvQRnhdnYEBiHO63gTHBYmFXYOn15mqKYzVHIXQ6148nu9udpi7tGufDJd4PF/ijf4+123xV9/1hcRA7jM7zFFM5Gb2xcqrUfRfFPFNghE+Mt81gYL2HSmbYuxOTo7qEEhyTWHyjaSnJ0z5nzh1iRDsYbAaLztgRfI0xjnLyLB8NMUIJjqbQaAqNECLWg8E6AW/5+i+kQKUVKk1+aomoiverDX67WuLXiwVaY9Eai3VvoBVNLiOI8eS8hw8Bq35AjBHrfkCZpHll+qiUgpZJ3igEjHNY9wabwYwMRAAotUKtFWqtqZlJ7MV1Z7DqB7TGjFHcxnmcr1r01u19riLI2NqNIRp/nfXxqVT84L8AkvHyzeATvwPec8ZRihIVL6HvIDW/wXIUBY70DK/K5+CMwwaHNTZ7vZ6LHhu3wflwCc31yAgCIjSnZ/djeSHtMs9b3+N8uMT5cIlf299xbZfjpnyfK15xBcUkZmqKWXpu13dI7H2KFWMcbShMMGiTR1Obeu3cX+f0qPVOz02phkOSpP8AnR6uMqudgzGeZJAkuSOLYQHH3d6Kgh+1f43D3xiwHAa8azd4t1lDMI5pUWCmC9jg0VqLjbU4KSuwmqHRGrn5+NIeOytwst/ZjzvqcWufp1iIEd4HeB/RtgNWqx6rdU/p0anmswpHRzXms4r22iEihIDBOJjBwfmAqlSoKo0oABMc1tZgYw1sCCndm4YAa2soAV0oTD+Q698Vt7nHVDtiORhPN8FyGLAaBkjB0UARSyJ9bxrmPomiFJIOK7fBlbnGxUDMJgKZaOHb1ZubHa151qP/FRfAGGNKrRuwXva4fLfExbsl1kuaysdAX+/aAd3GwLv0PkXAWgfTW6wXLYKPKOsCp88PZ50IxtHIGmf6JIGHJJnbt/pgsDBL9H7ATE1wrOc4NuSDxJIJ92NVhiN8DLi2S/za/oF/tb/ibf8eG7//JDUbvdayvgFIfG6a6pKh8XoweL9u8X69xrIfcFJXOK4r1FqhMxattTA+jGkKfMf7adSe+13ZHcdRXUJwjlqRXlngdg8yzhhqUeNUH49NKAGF+5XxBkusMASDRtQ4VnOc6mNM1QSQ9eMCTzvTxaVb4ff+Df65+RVv+ndYu/aA88yTn0o6z6rBRNbJJ+RhgCdirwmUSsF4YsdtjEFn2BbY2LU9ZMCk0Ol3e/yVIIOcPPk7ffieELBj8H61weWaQJfBOfgQoSVJBwXnycMwotIKz2cTcMbgfMDbxRpvFyt01o2TrGlV4HRS42RSgzM2grIZePqf95fYGAK7Vv2AaVlgWmpIIdAak1iHdFztYMEZve+MM9Ra4biucNxUmJQapVaolMKqH/B2scKbxRrWbTcJx02Fs2mD0ymgEiOZc4aLdYvfr5c4X26gpIASHBHA+XqDfpfldMtTFmNmQPofNP5vWPGDP7nodsyYt0ELuQQXONZHEIrfCXjarYIXOFIzvCyfk32BXe/9Gj56rF0LFz0EEzhSM5zoI0gmMZFNYjA+HkCTJVut6/CuP8f/bH7B790bXJsFXNjPz4yBUnobQYOQqZpgqgh4kvxxf6+HLhMoIGXl1tRvmytcmusRZGp9d7Pf3vFJzfYVf8We+zGLjYMZjuwF5KKDiBY8CpJO48d5eOiiNOaAwTsshgFv12v8a3kNAJjpArOigA8BnSMJng8BjVKIsf5qT50HZ6PvGeKPNfob1W3uo5DIHsY4XFys8fuba/z+xzWc8+Mg8x9/P8V/sLMReHLOw1qP1brHctXDGIvjowZccMhSYPAeG2uwdgNCtlIB+XKv4wDJOGaqSM9ccW/d+v0AT3F7AVtPLInNYNAai0lBMp7bmZ09XO3eULt+SL0fsLJrXFry9vmtfYPfuj+wcutx4vKjPq4YAWc9+s5gtWjx/s01fv/nBa4u1lv3/0iI667RNBiDNR7dxmDBGVShcPpiduP7xu+9ZQkmCHgqjke53CHRzdTsGMCtcKwJjDjRR4gAeQzFYmusvVP3dV3v/v7ZrNQEg2u7wG/dH/jv9b+xdhu0rt/7tUUymp6r6djYNrJGKT4tfHUhoLcW62HA+XqDX6+XuNjQJpyStgos+gHLvkdvXYrf3IYMyLQx7x0ZJ7NkPq2Tr1OjNWzlIQIDS9K9rxUDRyMqnBbHGILBlVkcBAaaaGGcBdwaUznBqT7GWXGMiK0h9+Od562p6sIs8Xv3Fv+1/ufYhO9bBDCWmCmSaczkBI0g4Omhapfx1FuHzlp0xt1g2exWqSTOGvfNWtYMOokk4fwwdSVGYDMYvFuu8fvVEq0h5pPzYTTWFpyTn1XwmJYFOGOYlBrGebxfrvHP82us+yGBisDppILzIYF0203k5brD28UK/768xuA8jPMYnMNJU8H4DPC6MTG2cx7GOVgfEBIYVRcKL+YTWO9hfYWJD0AEll2Pt4s1/vn+CoPdAkcvjqaIALSUKFQC0gTH5abFr5cL/HJxPQaBCM6wHsxofp7ewVu9z5mxuTX0/bFNecz6EHDK/+8CAU9LuyJmd/KtzKW5gmIKUzm5t2PJ0nVXeqzcGu+Hi71fw0dPrBjfgoPjRB/hVB+PjKBSFODx02EB9/HsvvHc3kkwW7sN3g7n+OfmF7wfLrB2m72ThBlYkg82OFKz8bldy+rOx/2t6uOem3q8zvdYuBUuhiv81v2B37o3eNO9G/vtfk8G81+xRsbd+K90fbOPv48+zT5c5j57T4wWCsR/SANQYkXaKMCiuaH0+FEPVzFG2OAxeI+1GXDetfhttUSIEfMEPIUYMXiPwXnUUqFLvdVtxnrbc5sZTz9W6KdawQeYwaHtDC4u1/j3L5f4//77LYbBEdkjhT+dHJPvYUwMKWMdVqse5xcrtK0B5xxNU0CUHDZ4dM6gdRaSbQN/bPDovIXiAkNwN3q3+9gF3Q/wxCh6XnEBLSQKSbR/6z04YyPzIYwPwcev3Sa4SwynpV2P+vEru8CVucalWWDl1uh8f1CS1F+lGAOUFqiaEjEQw6moNE4vN9isemxW5HtV1hplraGUBOPEgDC9RbsZ0K0H6OSwf5fijKMSJeZqjs73OFIzTGSD1ndjkuC+D9SlXePX7g8EBDwvzrAqz3CmO9SiQiXKlHZ3v/yRzKBz0WNpl1jYFa7NEv9sf8G74QIbvxmp5vtWyTVO9BF+ql/iZfkcU9l8EewxzmM9GFy1HVpLciPBSWDkAkW85wcdyeW2SXchLZYxAoIxFEpCMA4tSU9cSEnPhUAJGPyWpyab1M7VDEMwOBrIu2gl1gcnGa7dBr/3bwEGvEjnufXb80zA3H2f50DU9eixtGss7QoLuxoZbWu3STLe/c+z5grHao6fqpd4Vb7ATE0f3B+EMwYtJRqtMTgP5wM67CxWeQOSrrenDkBERFjv0RmHdrCQguO4qcgUn75hnLqHEDFYh+uWfJByoqvkJL/L5vpaCCy7AYN1mDcljpsKx02NeVUkdlOBZ9MGPx/P8fPJHE2pMSk0pODk39APxBLUHLUmQEgKMbKVEIGrTYfNYEn2V2o4HyAFx+sENGWZoOAMvXX4n/eXI5BWSIHBOkwKjZ9P5qiUQqnpPn27WMM4jxiSdPbWU9Gbhr4//J2eRrmUNNj5HpwJzNUMR2o+fl2kz+l7ZPhqrjBJQNa5OcJMTdHIekwe23dN68OA98MFFFfY+BbPC3puT+UkJZ+WI6PxvooMsCklrU1eTgu7wu/dW2I62QU638FGexBTdSoneFk+x8/1K5zoIxSfGQp9LxUSU8bHgHXqt1du/UG/fY0rs8DatRiCOai3+SuW9R5tkoKHmPxf2M1n/GA9+jQEmpYak7JAU+pbgBEghlMKhWBgUEwjMA/EABMG2DDAH9BX/6j9ijEGxQWiAGZFied1g945MACzgoAnAGOq3fO6wbzIA/KvVUyJattkxx/1dKvrLN6+W+LNuwWur1sAEc/PplhtBqzXA9brHtZ5eE/nkXMGKQWkD+gHi4uLNS6vNqgqhdOTCRqQf9NUl3CRWHW9JyajYGSPJBkfk59vd03dru7RXJwhCtpclim1aHC04cweGd9yw5GbBpv8Xf7o3+L37h0uzBWuzQLXdonWdxhSasYhcb9/pWKcQWlJgKMSKCqFo7MJVtcd3v9xjfd/XCOEgJNnM5w8m6JqCnDBIQTD8rrF+z8WeP/HNdQIPB1+ZYgEPAkmYKIZU7xWboMePULwKeLz9rVya/zWRWqWKgICbHA40UdpMVBbsOWeKjOcej/gXX+B37o3+L17g/fmEufjJHX/Jh0gj40TfYS/Va/xsnyGqZx8Mc1r8A4rY3DVdWgNGXnuptPl+5kYTjnad+vh5kMCpRiHEsR2KmQCphV5/vjMiLsl8sTAUKYNhY8eR2qOaZIL9mE4KMlw7Tb4o3uLlV1jVW0B5xN9hBN9BM31vZ/nAI8hWAxhwPlwgd+6t/ite4Pz4WKcmLskK9i3NNc41nP8XL/C6+r5owFPhRCotSLGk6GNlw9hCzwxBiSgMnuAPeWyPpCU1FicNBVOmhp1QfLSzqTfMdK90FuXjL/p9+stgVVKchRSopACvXVYdT1+7w1+9jPMyhKzqsCsKjFLwNPZtMZPJzP85/PjUdIXYsSqN6NP1ujnpNXoK2Wcw9vFGm8WKzgfUBcKldbk41QovDqeoZCSXlMKXKzbJAdcp9dJfk8MmJQa87pElXygIoDBeVxuOgxZOnjL9zCzirOPxI9NytMoHymxt0tAzVRNMRHbpEKWAjvuU3JMnkzEfDoezjFTxOjp2YDo9x+mDGHA++FyZKxvXAcTLJ4VJzjWR8TaGmXf9/PspoGKRe8HYiG3BDi9Hd7j/XCJhV2i84dtyDnjmKoJXpbP8Lf6NQFPjyj5fogKMYw+YhfD1dhzX1vqtxd2OabUDWFIktwfLJrblHEBy27A5bqFDxFSENik0jNeS4lV1+N60+O67fFyPgEYQ53i2L90R2QWjIt29H5TXKVhmYULFiYDT098Hf/eiyc2uWAMs6LA86YBGO15ZkWBuS6SdJ/W2lopNFrfLoUsjqOhH+vzd1BtZ/D2/RL/33+9g/cBZanw7NkMQm4wDA7GejjnEXYSxaXkkF6g7y3OL9b4480CpycTGOPSIF9ipkry5w5tSpsNqISCkooGm4xA7fscvt+bxxNnFM2nhEChBGqlMDgHzmmDSdKAx72wdw0gXXDok6/BhbnCr+0b/M/m33g/XI7skoDHWfTyY/9D3xOMn99+58d/2vm/r1wMuel/iMWcMQKelAbKWmN6RI3ratGS78G6h/cBJ89neP2PU0znNYTgEJLj/M0C1ngsrzYQkoPxu13SLDFhSlHABosjNceRmiUfCWoW/Z7nNkudztnlDT27T/4S9MEhWDZO/tAtJp3LnV9tu0bvRPNiazDd+Q4b16H1Lf7o3+Gf7S/45+aXZK7ZoQ/7SeyILE1yoixRe129wFlxgkbUX/SN8CHCOIfOUhqV5BylIlPxnFAmU7qW2PklAwh0QgiJ6bHd8BZSQguBStEDDRmAuOVjgTGGQlDiYETEkZ7hSM9wbRdglhFDcc8NTDY3fT9cpKQcAkt89OCMQ3FKCeEJ+c937fZM73+ee99j4zu0rsWb4T3+1f6K/17/i2SUvkPrt7KX21aWjdWCzNdflS/wvDhDI+sHB54Y2z7/pfjYsHuX9RTShO1JtziRPM4G69BbByE4ZlWJo6bE9aaHDx2ZbSMlPzqPVTfAOj8CRIITSJRNvC+TTPX9aoN5XSIiYpKAo/xx3FR4MZ/g55P5KHcYnEelWojklVUqiVlVYl4n1lRdYtUPuFx3WHYDVsl0vFQKz2cNZlWB57MJpqVGqRQqLWG9xy8X1/jtcoG60JiUGtOyIIBtUuO4qVAXCnWhEULA+WoDJTg6s6eh7xgwEEapzY/69hVSeuYQDGaMoRIljvSW8cSSuTD7wmBi36LAA4kGwJGaYZ4+uFvDBw8Ds9frmWBxZa5xbRbYJN+nvD4jydZIgkfrNGOf7Lro3+kTn3tu5+vYRjeuxe+HS/za/Y7/Wv8LF+YqeRO1e/da22TeAnM1xYvyGV6VL9DIGsUjekreV+U1DgDsGNhD6+u/29/xP5t/Y2FXWNjlo9pYfHT22c1u+6Nr4hOvcPPvfboye+Sh9xLOe6x7g4tVCxsClKC9l1aCQiekxNWmw8W6xflqAy0FZlWBEGpar/mXwCd6ZvtIvZ9gApoX9HsFTx/wP6R2j1C06RcAByYxwlc1WVkwjonWmCi9Aw5kU/j8XLsV52k06v+xRj/tGhJr6V//PkdVa/ztpxM8fzZFCAFXVxsK+3JZWUbXghCAFAHGeFxft3j3fonVqoMxZH+ihUQjFXqvsDAMNpB9RCUUNBfQXEAynkzH7w96ujfgCaANBmfbSOjMirApHct4/+Dxz7sVQHGgNjgs3ToxCi7xrj/Hm+F9ahjIPPyhbzgy6yMgQDABwQUkk2Tgt2PkR43IFjDIxrzbZvCDP3/0OaqIbUrbwi4pdv4xKgLekQGaMx59a9BtDKQUEJJDCJ4Mxwe06wH1pISzHmN41x2vbcUVTvQR/l7/BM44/ujeYggmGbDtf44jiCb+tn8PGxyu7RLv+nPM1RRFArsKrsdEGsnleA4ZthK07G+wnSZ5ihqPZKA5BJvM7Fus3Qbv+nOS192Bgq65ShPtCX6qX+FMn4xSBPkVD6xGazyfTiCFgHUe1lOjUSliUmgh4GO4IaEFsKXuJsZTBiNyupnkHEUCoQolofgWyNqnJJM4VnP8rX4NAPi9eweTYmEPO88RG9fi3XAOFz0Wdol3wzmO1Byl0Ch5gSIlwymu0r27Y1Cd7kMCmDJIGUaG2m6Sz8Z1o5/F+XCBd4nlNARiWu5biilM1QQzOcHr6gWeFaeYKTrPxMx7WHGz9QHXXY8/Fktctz2MJwCmSelvjDG4QMET1ucE0KddLJvl5w++/a9IH/l5m8E0FyI4C+DJfFxwDp6kcE2h8Xw+QaEkXh1NMS2L7aPulqeHJSkFgbhk/i0y0DdunrfU+RBj+jtsPI7xOo3bTZIPW3Zals6OPm3ARxv3feqHwO7pFWMJ8ABH7wdcmit0vhv7CMEEalmjEdWDyL0mssGr8gWGYPBH9w4RcQTb93l25+/Nvo4MwMa1uDBX+L17g1pWKDmt0YorAr+Y2um1cjNN1zYN6rIlAz23bdymHve+T8/tFpfmGu/6c1zbZWLJ2r17W5bei6ma4EQf4WX5HEd6jkZWKaHvYQcGD1H5PbPB4tJc4/1AbO03/Xu87d/j2izR+Q7uEWwsRoNscEguINPAcPf8b3tunsJR+I3Qidy/far33t2M5TO/dhsszBLXdvmge4o8yPLJxyU/lX0I6I0DYzQ8UULgbNqg1goB5F2YWVFcfO76IrBDMgXN6bUlUyh4hTLUGESPSjQoRfWnMr3/bioCnXfoncM5Wuqx00etFBql0aivg9Yfux7/qKdcMSccugCRfJqenU3R9RZlqT7ycLtRSSe3S3DJ/mG9dzDeEUFBkRT3pKhxXFQ4KWo06v5TVe8NeBqNpxi7ATytB4PeGnTWjpvXe8AXbndMMcAEi853uDRX+Ff7G/65+QXnw2WKa11j8OZRkukYAA4BySU0VyOVXXFaDCWTkOOfBQST458/BKfYLkC1s4hmLWb+XZZ2jV/a39H5/tGApxgjvAuwg4MZLIbOoG8HSMUT40mg2xjyeNoMGDoChfJU8a60eJ2Ap4gIzjgGb3BhrtCxfqSW3vp3ARkDr90GNjgs7Arv+mpsyqdqktLhalSyQi1KaK4h07nLTJl8TnJDa4Mbjcw3vqMpqm9J1pc+Wt+jS2ycnORyyHtxrOfkG1G9GgGJkpfjtfK5agoFwRvMymIEkiIisRoTWJQ3uTfe0RgRkIzuQBKCcdOeJjIiAVLE4uA4hPAmmcSxnsPHAAEBExyuzDU2rN2bNpy/N0/Ol26Nd8P5aO46lRPMVJNSALfeT/m+FTtN666XnEuAYo6NznHRK7vBypG3Uz7PretGoGrfUlyOiVE/1/k8T0f5KX/gp631Houux2/Xqy3jRkpIIUaQZnAeGAx5g30HTQ5jDJxjZBqNxvlJPirGyWK+t6kp8JxBAun35uPv3xQahZI4aWqcTmpMy4IkD9tB+o3/fvKYQK+pBEkp1I7HExvp9pR+4rMfE7ZA0m664PaYKW7XJeCJMwaRku6yp9UIWH1FovFhbVkjPxrbp1R5Qy4YH1PtAIx9hOYap8UxFBMPAjxNZYNX1XMoLhFjxMqtcc4ub7BlblsREUMCzzaeQKdaVKhFjalqME3ATvbsq0U1Dv0yWzn/Ez4YFAxJ9p6f27s+RWu3Qed7tI48nQ5LWmOYyBovyjO8Ll/gZfkMx2qOWtTpGfP9bep99Bj8gM73eNef45/tL/ifzS/b981uHs3GgjMOmdZozTUKoVJ/th38ZjBq7Ll56tvy4PejPns7EM5fo6c2nf13/TkQI5Zu/bB+VeOAL4whHiRvjym2rTWuAAEAAElEQVRkIqBKjNssnY4xYjMYVFFBMLI/+FTl54NkEuA0zA0xwEU7+jspXqAU1b2yIn/U1ys/YXpnsTEWa2tGD8lCSpxWFRjYrYCn3dekjx9r9FOuGIHgKalOcIZJU+DsdIrlqkdZfP58MzbiTukT9BGRQqS8wxDIj7uRCppLnJYNnpUNZqpAKdUNVct91P0yntLERwlOPk9SorM2bcI8fAjb9LI9m9h9jiE3vDZabFyLa7vE2/4cv7Z/4L83/8a1WcAmM+K73mz5t9hO0LYg0e50RDCR6OZqnMKNkzhGgJRkklgziTmTP5cXwgxk0McW2Nj9+siuQcTFcIWVW+Nt//7O7+s+xTltXhhjcNajawew9DmeGE/OpFSre7igd68kxeRojBpiwJVZ4O3w/kY0776gRKaLwxK7RHFJ8dB6irmaYaammMgajahRihJqPG9ibFJi3DKdjCd/n94P1My6FZZuCzqt3Obg65LAHvq5jWxwWpzg5/oVXlUvcFIcoRZ1Mkb/0oswlEqh/GDxus2Zys+ADxMQ7oN1s3ueJReYygkkk2AMuLILvOvfo/UdbKCJ67509z4M6MOAhSVgS3FqWI/UjJKGkiHuRNaoRAXJ6X7NGxjO+Hied/26hmBubFryf1d2fSdKPt33Ao0kGeVP9Uv8VL3AaXGMRtSPZk7rQ8BmMLjYtGiNxRmvUVTkRZQBmxiBjrOt1I5iOA5OsnzoykytzHpiOx9bEBXjFClLDbPRfkiATgaBtBSotIKWAtOyQKkVMtdCJFZgjOSntBnM+FrOkz9dYk8nU3FObKcMJo3vW0zfkySP6f0enIe0NrGbiHkGAEoKAq8S0ARQI2KSOboUbmRDIbGnDjtFN9qeg4uBjfflj0n716uRlGapuaahVtokssS6lkyiDz265LEjmICAQCkKVKLETM3u7Vh2n921rHAGkvgt7Qrn5pKkzml93heUsNHBOoeV24y/l+ISMznBXM9S2EiNRjZoRE3rc1qjd5lPPnkMuehG36HWdVi69Qfr8xpD2E8auFsZvFBc4igNhv5Wv8az4hRTNfls0uxTrQwYRgBDMFi5DRZ2iTf9O/y7/Q3/tf4Xsc4POLefqgwUZlb5zf9ue+7McFNcjf12yYud8y9GlrpMfbfiu0NDMUrY+dhri496bmALr3MwXNslWPfAa1laf/KzP8SA6BlMUpfkpOGm0Ki1HNcX4z1UEB+x8z5MIMwp5TQMpmtVRAnBJBTTkFxBMf2k1uw/e+UwExcCBu+xsQaLoQcDoIQgVQHnmOoCu/YGtz9Hdz+XYuee+lFfrjwIKYROlh7ii2SArJoJIYILjrJUmM8qNHUBpeUHfzOOSXfOJdwFuacFtueaIEfOAM3JNqUUCpWQ9P85cfyeb/P7uzrScysmfwzjPWzwYGDJYJVSzVwIsJ4SsnKze5+VTcR9Soz6vScDyN+7t3g3nKNzHXn23IOZWo7kllxuwaQkybkhwUoyrO1CKEfq941FjnEI3Pz/PGUhRsUW2GI7MrwMcnHQBZIZFyZYlLx41CZdaon56QSv/3GGdtNDSoG+NTC9HRdLMzhUTYGf/nGG0xczTOc1OL+fBBoy/paIKDFXM7yuXqD3PRpR4SKlqJg7NI0B1JgiMKzsJqUk9rhOnhL5ATKy05A33ln7T35jGfjsA00H8+TZ3BEMlUxiIhs0ssaL8tmYbnamydfpsaaoD92OUGOpEBExk1O8LJ+j8z1KUeDSXOPCXGPww8HvZQSB5YDF2m0Q0nkuhEbBiySF2DaiueHFB3INm6S+QxjQ+WHc6Jlg7nieBRrZYCJrnBWneF29wOuSZHYT2UDyx5NpMJAETXEaOEwKjaO6guQMnXXorMXGGHTGYbAO1vmtOT0eh/36kCW5wLQqcFxT9PlmMFj1A1pjUVlHH5qSXkNUKJUcDSCV4Ki0wrQqYb3H28UazocxmU4whs4YuHA7gFILgXld4nRSo9IK7WDwz/eXI8CkhMCi7cEYw8v5ZDQpr7VCiMDlusXluh19pxgDLtYtjPOjHOXWbSzb3SDeHXzSXOFZcYqz4gQTSZHBDzO++nPUXE1xWpzgrDjGsZqjFGUagnForlCJEgFkAG2Re5mtBcBDvbeCiXH4cVac4h/1T4gx4tJc49JcYWnXhz+3Y4CHBwL590UDmGCwtNSPFaLY9lo3JFUsyVPDCD5lZnLn++06HYY7e2ZWosRENZjKCV5XL/G6eoGXJQVBfI+G4tQTkXXAlVngt+4Nfuve4I/+LS4G6rd8uLvNxi5T78YAl5cfDHK3/fWNfvtTwFJew8fB7tYTLHfVBO5vAcqb/Ti7EaBwLmtorh78ucSTsqQpyEg6p5rlz2ffn9ZY+GXAvCZfwForFFJuE1o/KLIIcNi4JVbuGjYYSK4gmUrspq1fn2IaP4TUj1c+RPQp9CeEiFlR4KikvqH3DoPfKkduUxmAGIdr93CMczUd1+j8bP1Rny7NFa3P+hinxTEmqoH8gryagY0EDsYYYgCcC/A+UOLwB99vrMMwOKw3PbreUECUyKopJIaTxmnZoBAKvbckuwseb7s1fm+XmKoCr+oZXtczCHl/e8d7lNptETYfAqynWG3yfBJjhLpL5lVgAgL3v+nIHjqDN1i6Nf7o3+H/Xf8P3vTvsbYbtL6HC/cjrcugU8ELzNQEMznFTE3JbyWxYLI0p+B6hyHBbwATbFzQbk5sGNveuOOfPvxcfnikz+SFw0WP1nep0Xo84EkpgflJAyE51osOq0WL9aKDGezIdlNaoWo0js+mmJ80mMwqcHE/qCoHh2IKQnDMFQESAKCFRgSl1R3qAwRgjB0NjKKC+9AnWeS2gdn6AWBk9u2alIbUqMS4BUlH36c7TgQll5iqCZ4Vp/gpNbWvqxcjC+zPwhTI7AcuOGYq4GX5DADGpm/tNhj8gF3p6T5FEkJKiAgxoPfDKIXNgPOu78Mug3M7Ad567eye3/znuzyDBBOYygbPilO8ql7gdUnn+kQfjeDnoxUj9pUUAmAMTalxXJXEtrEenXFj9HPvyOvP+bBlPj0Q+/WxSgmOWUkm3s57dNZi1Q8IIVI6XKFgXYFQUgqk9eSrFAHIlAY4KwtYH/B2scb5usXppMbZhJL02sHC+1sCT1LgqC7x6mgKHwKuNh1+u1oixpiYTVuG04v5FHUCnkot8X65wbvlBlebbgSepBC42nTk28Xpmt+H9nSDNXbg+zv+bgl4+t+n/wvPilOM7jy3euFPfdNdRf8Psem6vzuh4gVqWaGRdZKaEZOG2NcKpShhooNgQ9rUi5Ft/bXp611KMIGCM0gm8Kw4gY8Okin8q/01pdSR6fRBz21ExOgREdB6Gr5tEhMqAwu7vRbYtnvKbPntczukcJatJ+OhqbK7VckSJ/oIz4sz/JQGBi/LZ1Bc3WuS4GMVpf0RSHdlF/i1+x3/9+q/cW0WyabApvX0boAdA60ziknUohz7bfov9dy1pH47+xtm9sWWufRBj/2FP9PP3F4j42d2em4GliTy1HM3GXgam76HKcEZtJJoSrpeOmtpv8U5pAAYJGwI6AaLZdtDpoFEpRVUksB/WPl+c8Fi41a4GN6hDy0KXqLgJWTyHeNMgIHDc5/W74f7PX/UtkIMGJzD2gyQnOO0rHFaVVhbg/O2xdC1aZ+BW/dVjGEEWHf3m4fWTE3x9/on/O/T/0SCah/g+riV9uKW35e/977r6z9bMo5a1GhkjUZWqEQF9QWmGGNbNVEmMzhPwNOnQH1rPDabAYtFh663iCEBTylYQDCOWpHdTy01VrbH0g4Y+hbv+hXetCvMdQXOGM7KBiXuL+zi3qV2PlEBzWhIHEc5gA9E+9fOg4Mhcn4vUqvdBiUzE1Z2jfPhEm/6d/ite4N3/cXYNBwuY2JbTTiXI8OplhWO1XxMUzvSM8zVHDM1QS2rUd4kdzybHqpCDCObpkqyr4f2eNktLjiquoCQ1OBtVj3a9YB209N1wBmkFChKhaPTCSazCkWlwPiuZOTwYowl1FgkNsgxVGJ/9L7H0q4hwEl2F3NDtJ/0LjemxHy68yHfqaj54SN1PE8cMuD0vDjDqT5GLau9XvPg43kk6vXueY6iwqk+Hv2Mej+QXDFiNG8/xPcpIpJZfvQYAODhbSm+WHyHkUDX9gleVS/wU/USL8oznOhjzNTk0Y9LMIZCEdMpxoh5WWJWlTDJ+8mPHkJxC65j6y3w5PpWRtT1RivMqgJ1oZKZN5l6l1rCBZVuffrdj5sKZ9Mag3NYdD20ELAIowdInjBlz6h8mxRJenc6bdAag3awaK1FpST6QpMJLKefIThHqSgZMvtHkWcaR6UkZmUJxoDTSY3nswatsVh2A7HMEstYcI55XaIpFI6aCrVWqNIUfN0TEzTLNBgYtCRz2UYTOFVrdWumct6Y5Qb0rs8GySSO9Aw/VS/xc/Vqh31wp5f909au7CH72QBIG+kk92LUx0TEGzKiTMnffWbeFxCVU2FlJFk8QD4yNhhsXDuadZtgx7CFfZ/dPkmFDB4pVOULRSwzkST4Aqf6GC/LZ3hdvcTL8jnOipMbqYLfQ+2eDxcdWtdi5TZ411/gj+4dfm1/Rzv6Ux62cG57G5GS1bYsp4mc4FjPxp57rudJUtkQ2CrqsSeSCWx8qHLRJxa7RcEL8kZ64FWNMwYlOAopYaTH4ByFSQBgnN6zECMcMIZMUOK43PEn/Lhy3+OixRA69L4dZXgBEZIpSL618/hr1ed+38dZgGIEfAywISSvRwIOfIxQQmwHn3u8Jq3LN/0f71K1qPC8OMV/Nn9PjFL+2Wvtr16k2tjKfPNz7nMlBEdZKEymJZQSMMbh6mqDxbJD1xl4H9D3FqtVj4vLDZbLDotli+tFh641kEJgNq1Qlor25yDwiwmGAKD3lGAXQcy6paU9++DdvYfC3QvwFIGU6kPyFOuJ8WQ8SSp8oINeDyQzEJxMWgt5/zpQGxwuzTV+797g1+4PvO8vknGvJ5bJAQ/LXYovGQ2nCUv681Q2qNNUsRE1KknazVIUZGrIFQFOeDj6+lMp0pR6mMGhaw026x6rRQtnPabzCpN5haopIaWAGSyMUShdeBDQWTCBShDgYkoC4ySTeD9cjLR+E+zB5t3fujK7quAaR6nxOitO8LJ8hhflM5zpE8zV9HHZL9+gBOMoRYl5ktmaYCGYwDt1Pp7nLJF4UMPPB6osrdVcJb+pOU4KSkF6WT6jjYuaQX8jXb0SxLL5+XiGCOCsqTEpNDpjx2jnWlPCTqU8ZlVB6wBjT1JqxxnDUVPi76dHmNcV5nWJo7pEqRS05GhKjcFWGJzDYD2k4DhpKkyrApVX+PmEmE4uBChO6XOFkqgSyNMUtA4yAFWhcDZtIIXA4ByMdbAhYFYVmFclKiVRaoVZVSKEODKRsl8UZwyllnhxNEUAvZenkxrzukKlFThjmJYFfAwj06MqFJrEdFJSQCcZ3sv5dExBKqSElmRebj2t60oIvJxPUenbXmfZkH2X3XvHcwMyDN5KZh52kPM9F0+Ax/j+pw2ADx5DGLBxLQTjmKdnSjbUfswNZcH1KJvsqh4A0Igal+YKl+YaK7cen9vf20Z3KzMl9vVRAkry+vwimYlXovzWh3qn6nyPd8M5fu/e4pf292RnYBGiRzywr8rG3ZprzFKIy9h3qykmoh5DXmpRpXAX8kuh0J6sLHhqq8v9VYxb3x8fApz3iAB4CLDco5QS06pBqSROJhUmZQGRPQE/8b7kp7NgErWc4EQ/wxCmEEwS4MQkJFcQTKEUFRTXYH/JZ++HDqaPU5wzFEJiojVCjFgMA4z36J3DxtLQiI3n9zZHx7Z72+146G7HmNac7FcsvgKm/JWLWEc3PeO+VGWp8exsiv/8xxm8D7hedPg//s9f8fsf13j7bom2M3j7boH/6/95g7632LQD2tag6ww455jPK7x6OcfzZzNUpYKPERtn0TqDjTVonUHrLDgYXlRTTFWBuSrxoppCfzYB87C6t51KNqPLoJP1nlhPSXYXYkSpDMpBpsmxRHiARsJGi0tzhX9vfsW/299TVHCfNpyH/bzcPGfj6nFjX5yMm76Pkcssv8oeTY/JO/p2FVO8qx0s+tagXRHwxDnH8dkE85MJilKR0eHgYAcL7x7iSsjAU0kSs7RhmcpJMqUW6Hw3yn38t6YuHVDEdqDf8aw4wc/VK7wqn+NZcToalWqu/vRGf5xxVKIYN6OScUxkg5mckHwjDPDWA7gfb7fHLpaeI5prnOhj/Fy/Ij+nks7zXE2hk5fctyglOI6ramTCNFqP7KdCShRKIEIhR0DPyiIZj/NHY8jtU5wxHNUVCiXx0gXoxHYSnGFSaEqvS5LyzOjVKaI6RKDSCs9nTZo0J1pzMvyW+b+C3qtaa0jOMauKxAyj1x2BH8ExS8ObXblcZi9xzlAqiZfzCeYVbWALReurDxHTssCL+fSGeWx+DSW2iZOMUcrRcVPBpNSUMRghyYM5Y6i0/Ch04HPFMt+J3U9TS5I9npg8W++WH8DTpyszzj6UD7mUPNb6DnM1w1xN0cgGC7vAtV2OKXeP8ZTM8u/sbVQJ8mb8V/srfPTowwAcwFh9CpXZfoILzNQUrxNT71lxiufFKU6Lk5Ru/G2e2/dVlGB3gf9e/wtv+ve4Mtew4dCkP6rc25SiwIk+wovyOZ4n75iz4gSNrMmziamdNGi5YwLOb1zzf7YaE0OTd2j2zg0xjPKmaVngbFrjxXyKQgpoJZOX6ucrWxg0YgqmGeyOH+ooxWUKkuvk+/TnfH8/X7s87cflawuWPDS1xtoYLIcB7zZrBFLVIbsojhL0WxQDg0jg032AiCzJmRWTY0/6Z99/HFq76/OudPdzVZYKZ6cThBjx/v0S796v8PbdEpdXG1xebdC1Bm/eLjEMDm/fLWGMxTA4hBDx97+d4O8/n+Lnn47x7GyKqtIIMaB1Bhf9Bis7wATCawRjeFFO0KgCE6UxVcWoGrqvuldz8YzAEwMK2xj2OBrsA7ivjJubPzv7p2xciyuzwJv+HG9TypU50NMnL1zZp6mRNV5Vz8kQMlGkz4oTzNT03uQE33tFHzH0FutVj82qhzEOAIOUHLpQqGoNIQT63mDoLJSWcNaRv8I9J1xxxqEZB6BGunstSLOaI5MXdoXWdyO9/z58lh6i8rVIMk9qAMjoWmOuZvipfIm/1a/xqnyOIzXHsZ7vnY5zM9lk63mRz0Q20tz9+qe+N6d+ffi1nR80Lt8cKRGSZweFL7wHn7kmcrOpoNLkhqPkJQQTIwOq5MUH5/lxIp33rbzw7EY+Z1PcqWzwuqLz/Lp8gSM9p/jtPWSUD1GccWgp0IBAmYiI9WCwGgZ01sI4SjT9OCXu8aSZ+xRjbGQnHVJ1+nsxpdFlqUP25Nv9nTNgtfu9MQFWGRT6WnEhoCqB2QeXQYxAU+jxWIBtq5xfNh8LgYQk+/vwnsf45/3eB5a9v1Ly432d67zO5s3mYxrp/zlqKxcHtrHzHA/n6/SpIrm0hARtUiIiNNeoRDkGM4AxdK5D67uUjObh4t3TiB+iaH3OiYGC2O4pjOJ19QI/V6/wj/rn8bl9pO8vNfCxa9efcmXXuDBXyUz8inxUD2CoZZiIGDclKlHhWM9ITl6+vDHsrZJR/l+1544xwoWYwKYIyQXqQt2QxExKCvk4m9ZffY92v/7/s/ef7W0dW7cgOiqugMikYHu/4ZzT9/T//zW3b3efsLetyISwUsX7YVYtgLJkEyQoUbbmfrhJSxAAotaqMOYIHBya097RcgMbKAwlRI+Y2Cv7kN5TyHGPW/GTHyPII2NcDbEDknLt/1l2fvMAPBAdAA4wAUDi97ztePe5j9QYYYwaWDrJ6npncdN1YIxBJxuAPBa0xv/JmANjI0cwOZrlP/p9pjeb15XvHVh/LqW1wGJRQwgO74jx5Jwn5nypEBY1tJZwPmCz6ShZOTUrJ3WB87MpXr9aYjIpUGiJCMAGj85bNM6MAQWVVCilwnlZYyILKL5L7zxWHQ144mPMs0hR0CxFSzPIwDEpNBZlibO6wqIi2YI40oIREND7Ho1vcWVucGtW2LjtCDqFB9B9M0NGMIFzfYIX5QVeluc405QSc6qXmMoJCl78KUXu71TOB7TrHtfv11hfb8EYw8k5sZzKWiNEwA0WXTOg3Q4QisOYmiIieXyyTcR+ks6L8hyMMczUFNfDDa4tpd1tbION22Lrmid5Dw+tTDsXydtnImtM5QQLReaaS7XARXGK8+IMSzVHLasHTxQZKBpZHYnpwJMsKsQ4fvn9nwMdZBhjKISAliQlcqO/D0b0efy3IY6+OYUQd4CJT0HI+14VnPFxnC8KApamcjJKN67NLdZui20a6+d0gNmX9E7kBNNkPPj7cT7FiV6iFtWzOHSHGGG8RzsYbAeD1li0xmI7DFh3A9b9ABfCCL6USuJ8OnlGn/wTFsPosfenUxvbbRiP3asnv557NHz2KPqPfX0GvvO24TKtkw9/1rG7Hx1J52M+PPyoQ0okUCQDPCu7QeNa9L6HCWa89r7uEZJSSieiAjTwS/wJhShwUZyleXuFlV2P67MJ3967KVeetznY2KCcyHrP+HqG8+IUF8UpzooT1KL67g9jLjo0CRC8NrdpbBp0YYB9IDCYD6qVKPGyvMCL4hwvSvKozMqCqawhmfxLs5nuUz5EDNah6Q1iBOZVgYv5XYBpUZWj+fjDX8ehcRus3QoxRlSiRiUmqMQEDIDkCgzffg9yv8rXpAWiBZl2SoBJICX27UxbRfqK6fEOiD0QO/piEmATgNUAU+nfC/r3MQFUTNLzH/N8mFgc493FdjY3cKDgkhjuycVK4BDfpT0+9p6KORU0OHj2NKqmv2tJwVGWFFzw6uUcQnAsFzW2TY+2NWhaAyE4pOSQiS0vBIfWEq9eLvD65QLTKYFOQnAERGrYc1KJWKTgNw+0zmBjaS9QSUXnySOezY8CPGWWg+T0S5DxKd+ZkApgohUWZYHTSY1ZUYwmq8eoECNF2ts1Locb3KYNSuv7MZnk0BpvSEaRh/85+Tf8l+m/YSYnmMopJrIaDTv/zgvgp+WdR7PpcPV+hWbTo5oUOLmYoaw0ikIhhkj+T43BdtVCFxJmcAghIEa6Xp4CexKMo+QFNFPQXGEmp3hdvhy9CSpe4gO7govu2QFPubuvucJMTceN2IviHC+KM5zo5ZhcVAo9ep8cWtmrLS9kNoFGIt3bOZXSj35uYTSOJh8YMjCulcYkvW+TvN5yfHwExn/jfBgj5gVj4PwuhJvBpzy/3Oey4EygSB4PmitM1QSvqgtcDtc0zt17qOESIQY0voE/smneY2onI5KYyck4ziTNOMdZcUKeFrJGKYqxs/6tK8QI4zwaY3HdtPiwafBh06AxZpRe54+ZMdok99bdpcH+RYuN/3e/xz5l9/4+z3zMV+csmyqr1MR5/AY8ICdEOnioZwUcfy8l0hxZywq9H9DabgSceAKAvj7sRLK7zBQqRYHz4hRru8Gb7j3edO/xriewpvfDszANz8WwC36oZIVTvcTZOG+f4aI4x1TuPIkya/l7LheSusCucG1usLJrbF2DPu25D63MFqPEuhovywv8t+l/4ufqVdpzT1CJcvzs/u57blpzHbaDQakk5lWBF4vpneAHlSTiDy+W9sMbXA/v4WPATC3gowNL80QRK/BnsAe5fwUAFsBA4BPTtA9hYgcYAQlMAkjKY4A4AHELhBUQVwAKgJ8APLOiZOruOIxAFZIG7lj8jrjjUmFvbxxA+/EQCTgI4X5rIrELiZGsuILgj2clx3F9tvDxx/p8zBJCoCopzVJricWixi8/nxDo1AxoWpLI56CuqlKoSk3fK4261ChLRUx6zhGjh2CMgCcuAG9hgx+9nwo7QCSboULIo8LLR2M85XQdJTjqBDLlwyJj5I0xr0pKx1HH1XyGGND6HjdmhcvhGiu7Qef7MRHlIVVyjVkyNXxdvsBP1Qv8VL5EKQoUvBhZFc+ycpx7DONk9dVeOkRY49G3Bn1nUFQaSklIJQAGOOtheou+JcZTPTNw1j/5m8xyrPxz7vq2vkMhij3z2/tPvDvz0JTyEXe0489NuLtnZyOLZ9+DY99kju+ZwmaD+lKUONMnOCt2gAQZiM+T34l8lJGf8R69teicg3Eeg3ewnkyFaXJid1hO+1/OE1CVwWcfJRAjeuvQWgOfE1eAHXDlw/h8Pkaa5BKtMzMmRTJEvu+wEDuL5hcOAc7JlLv3QwJrDjf4f4px5uDj+O6uR5XGWuOsOBmBp/PiFBf6DCd6kbzk1LM6uPgQ0BmL27bDbdejS9JZmZoP1Sfzfa0pre1rH26/dh2yiXsKwOnuU95fanG01wcbqfaKy0d7MZE8zMMGBxscCu4fvWxkGXCMEUNwGLyDCW7v/gUZxCcT0IAwyiFD8r7KHlgxUsy5Gs3Pd/e/DQEmOJjg02vS62ouoNPGb5xP02vcfW46xChGjHKZvj/EQFkygUIUmKRDlo8BFnY0IldMpYTQrxeGwhiDgBibJowxqDSP35gVMeYOnLvzek4+ZRg/d+DL8/b479i+6wYbjfnHNTqvz+CpyUFeTYsU8HFWnOBcpzU6eTllH9C/gjTMpgbd1XCNK3OLjWswePNg+ToHQy0qzOQUF8VZ2nO/xKvyBUqhUfLi+XrFjPvtfF+P8MATviSxzL0PcDyMP+/2G7lxd7/38dn7gWUgwWEIA3x00F5DswIFp//+HoowGkMAEkxiO1mwkTEbEcF2jCYEgJUAivQhZMZTl8CnWwAaRA9miLEAHaUFCHRKQBWfAXwOhpxyyB7VVY8JYBocMQoLIbAsqzvyylqpOwl3f1aC8bFJewwSRYi7gB/N/YNA6B/1+WKMQQgBIQClBOqqQIyUZNd2Fl1n0rUeAQYCmyqdWFJsTJUfJbJxPxQuncUSbjB4i60dIDmBTpOoj2qFczypHRjAybNiUZYQjOHEkb8PA1AoiVlZ3DuK+ZAKCGh9i2tzg8vhClvXwIbHTYpTOcHr8iUZQtavcKpPUIkSMqVlPNeKiKkrTJTHb0J1ZIS6AoBzHkNvEGOESNS/viNQqmsNsZ3ygvm4efne5aJH53s0vsONXeN6uMHH4RortyEz03sUA9LmnyQkdFhIX+nmvasYz3K1HdiQN7F5s01Go3r0bip4gVJoVCm5hSR2JLPbfdVHo8k2xuCyaXHZNuidQ28djPdJCkehAHwcJwbJdpHu+aAkIsvLONHBncNmMPAxjMASSWZo0uudhfEO62GATGCT5BwTpSnqXSmQieb9wadcPnrq6LsOt3aNa3OLS3ONVTLQ3Z9I/6jEeJDkdE/94ThjBJbGcUZKl9qLhS4SwFSIYvw5J/PUosJU7cY3j7Xi6lkm9bgQsBkGfNw2aI3FtNA4n9aQPMey370yTycVTurqq9zrP+rbVWYN06FbpTnq4RVBc7eNdvTju+89/KXK4JELHldDg8t+i1vTjhsryTjmusJclSi4hA0eJjjY6BMj1MMGnyLVA0qhsNAVlrqC5jLNkRwb0+PatLgxLVzwYxjLSVFjqWvMVQkzAl/0nONX9HDBgzOOmSowkyUmqkAtNGqpD2YcSC5RoRwDCyZiAhNMSnf1ic3weKDwoRURYYJF41vc2jVuzApXwzWuzS0a397bgzFLtxSXaX0K8AiI49wdf/f4DC7l+Xt/fc7XcvZtyj9Xohzn7cln1ueC6xE4+6uUCwQ8UULwDVrXPUhZkEswgaVa4KfqJX6uXuF1+RILNUMpCqhnDtYRU3y3L3jsnHSfIoYY7ZeM87jcNGgGMypJOGNY1CVOJhWWk8M8IPcdm+geIGDVBgbGOOgu8kePWH/Sim1iK61BAJFMLKcIwAExAOEaCDcATJLQ1QDbA5WiTcynnh4TGIg9leffzI7q6Uu8oj8TFXZSvIdfxz5GDN5hay3JK4sSlZR39oPzosRU348Usa+kyMDTYyOwAkgKb7yF4+4H8PSExTkQI4dSEjXIR3m8eRmBUyoFCgCp8RLojJ3tTOh6Mti6ATbtMRiIhLABAU8TqeE/8ft9bB2R8QSyphQCy6rAtNB3JqYsxctpPscscmfvcDXc4uNwhY3bPortBABTNcHr6gX+P7P/glO9xImm2Fv2AMbE167shRHSJuurcp5G42D6jLz1GDqL4COE5BCSY+jMyIiyg0udmqeVmeyXS2k5G7vFrVnhKgESjWsxePPnTwAACUwouE4m1m4022QxwOOuo36WnYyb2PQ9JzMppkZviH0fp6msMZMUI0zgQ05ykeNzZCD0GMDT++0W/+vmBp2z6KxD7xwqJclwTsnEfCKDw1JJlFKOUZsRgOR8vNpCDOidw2YY4EMg5pTYAScRwOCIHmy8H9lSknOcVoESu6RCZPnRh/1+GXhauy1uzRpX5gaXwzXWlgDG+94VmbUhmRxlPi6Nc0i/Zy6+d1D53TinJK5aVpjICSYiA4k1JnJCUdFyhpmaQjF5R3svmQBPB/fnNv+4ELAdDD5uGkQA59MJ/uPsBLNCU/IauwsaaiGgE4j5o/66xcFGc3zFHt+wiQmsscHBBAsfDjcw/tJzmuBxNWzxv5sr/NbejvdYISRelXO8rOaYygKtN+i8Qe8teu/Qe4vBOwzeog8Oc1Xip2oBAJhIDc0ldBS4tR3etLf4V3NDwFXwcDHg53qJn+slAPJVaNyA1tHzd96OrzN4C8kFLsopXpQznMUpmKb3pw4kwUtGm9GCa0xiQFAkj+h8T0zx4KDYt0sLjDHCBIPGtViZNa7tLa6SR9/gh3uzarJssOA6eYN5sOgQwIDo7zTliHH1ydzNRQKuKJ2p5MXe+jwZ1+mZnI5zdyF0Ws9387ZI0rDnNm8/pmy02LhtAp5u0fruUYdMwQSWeo5/1D/jPyf/wIleYKnmKHlWTjznzy4mZlD4aumLjO18dZveoB0MrPe0z0weu69P5lBSHAw80QsALJJPH+1DCMzgYAlge/zc+1UrtkC4BMJHgE3pCxVIWscIUPIfgPAGiA3AiK00PpZNE+spsZkQdiwoBBB4Zfd8oHp6blYD4hwYWU8Pn1OpkevRGINSSsyLAq+nszuJY7SHvv9rZCl8wfVR2Jgh+TsNwcDFH8DTUxVLHg4sAUxSchSlvAM8jSE+nCEGavbHGAh04gwBESZ4NG5AY00iRtBzEkObgKel3rHqjgU+Hcfj6U4iAsCEgOR7hNNIb/eT88ejapfSs9s0bdxmlNk9JJksbxQkk1ioGc70CV6W56N/zrOl+u5VjIQ6U/cydfa+4usLwVFNNBZnE0oqY/SerPXwPoBbhhACdKEwX9aYzisUiQr4lMCTCw42WJhocWvW+Dhc49Jc4W3/AdfmBtuRKv57wDJveyj2mWSWpSiT304FzdQIOtFn7n/X+WIZkMibW55lDRIybVTrzHiRFSaiHr9P5QRTNRkT+bJc69jlk0l07xyMJ/+mTOm2IYA5DwiMDCcAIwMn0zUZAOs9bPJ26qzF1hDjbcIYCinG18oeUT6QHpT8gOg1K6UwDxGc4aBNe04rtCmx8HK4xsfhCm9S4s7GNejT4eVLcosc712IIh02aFwKoQl4Cnmc0wbsEwqqSAlRNJ/wMZ0uy+TIgHbXIf+UzTaRkx1D7hl1ycd0wphlT2QQP1hix/XOEZgUAcU5CiVHud3+rc0TU+5H/bWLJxp/iMTkFEmuxh4o/yapgUXne/S+h5X1oze2Oz87j9YZrEyHm6FFKRQqqUYgPF/DNng0zqDNKTDpoCkYR8HJ9LhxBh/6DRaqxEJX0LzaybQ4B0Kaa4Oj17QdFBfovCHAP3ktZL8Fzhg0p8724B2uhxYx0iFjpsp7/Z7ZjN2nQ2Oev/K9HBETO7SFjQ6KK9RfMfWTwCaatzvf46O5wsfhGu/7j/jYX2Fl1+h8Bxc/L9/Ia4TmamQk7dbSKnXiQ/oc/MhO2X+GnYROJO8TMR7MVGI71aLePW+au0dWqpokwO73aWt3EmPj3ukg//QdTIe7dNoIGxxa3+HWbrC2W/R+eBADJvukTuVkDM+4KM4wkRUKXjwrSfmXKidE5nvsa+y4BeeotMKiLiE5R28teuvGMfgco+8PK+7/SOCBCQNsGBBiAE+Nr4gIF20CFb4j8Cn6xFZqkY3DiZefGvOxIzZU2NBjOAdiNhjPJuE2PT6LGYEd6LQn5YPH+IEy7D328Jvch0A+qcFjNfTYmAGNtQiI6KxFay20oH03YwwR1NC7z0mVpea5ZmpkZWblxEPH1UePIRi0vkMdqmeZEP69lrUOfW/R9RZKCpSlQlkqiM+QeXJKcowRznpsmwFNM8BYh9m0xGxagik6Y2T/zayUimF37eZkvHw9PzvG037FTz1gAsVJSy7AxPF6FwG7lJshGDSuw9a1iTZ++IY0H/4nosZSLbBQc8zVFDrdlN9HxVFnS5T+rws9SSUwP5kg+IDJrES7HdBsejjr4R29DykFFqcTXBQLnF7MMZ1XBFI9YdnosHIbrO0GH3oCIt5273FtbnFr1zCepAafW6yz/4TicvTeOdVLSq1RU5S8HKV2oyfHJ7Tznd8EH78TwiwSnZ9DJY+fTH3NPxfp+7ihfaLun2AsMZkUCikRNOl6M3U7R7kWkphOtVKoNRmDN9bC+CQ3SX8/OI/WWmwNIedTplEpBR8CGmvRWTs+p9YanXNo058PnnyCBEugxT1/ZRscNnabQKc8zh9waW6wMquxY/65w0v2XRJc4EQvU3rlCeZyirmaoZbVjk6P7PPy+edhd2QbmbIukmeXSmN9d7yz1PKpx/kxFdN87mMYjcMbY2E9SXRiBHrnsOp7RABKCGjB7xzCtKRrKIOQP+qvWTwZl0IAOrGeaP7jyHDHIRURYIJF6zo0rsNMmUdLyfNmywY3yuZCDJiqAi/KGc7LKZa6xlITeLR1w/g4xQUqrpKnEwFUGZh6264wFBaaS5wVU8xUiRflFJwxbG2PrRvIQ4FxtM7gfdjQmp3mF8E4aqmJXcqJaRpjxMb2WJkOJnhMZIGL4n77HB89Bm8wBAMTdt+zD0yIEVvfoHEkZeNgmMgKwORRn+99KyCi9S1WdoMbs8LbngzFPwxXuDUrbF0LF1yab++OeTam5kyM4RtnxQnt39LcTa+xk0LFz1x/u/U5r805TVaM17JixE7erdEJ6BIFeaT8yWIV4/cBMn2pIrKJsUXnB2xdg9Z3sMEefD8zMGLdyQoneokTPcdczTCVE+gkK/8eKsbkk5aY0F9DgqalwLwqITjHMHHksek9jKOvwTlMywJaHnZuySCaDQNav0Xrt7CRVAAMINAWATZJc78b4GkEi4jtSAARkt9T9m/K/k4cRKHI15/dMZiAJL9L35km5hNEerwGWJqj+JIYT+PfHX7j2xCwNgNWQ4/rrsPt0KNzFiY4IAKNtVCJVc4Zw7KscFZVKKr6Xp9J9rotRJHuOZLb0W9w+Ni6pDLYui2msn6w59uP+n11vcXHjxt8vFxjUhe4uJhB6/kXz84hBDgXMBiH9x/WePP2But1j3/7xyn+7R9nmJ9UKIXEXBdw0WNjB3SpoVYICT36SB7/LHJ0NIX0znFMrsqHlHyYEvx4Rj4xde9soIu9cS0a36TD4eE3jeIUV79UC5zoBRZqhpmcfQdU311lvXmWBIVkMP61SkoCnspKYzIr8fHtCkNnMPQW3gcEF6AWEvPTCc5fzDFb1qhn5egJ9VRlgsXabvCu/4hf27f4Z/sb/tn+htZ3cIE+qy9NtBwERhSiwKk+wb9NfsEv1Wuc6gVO9BJTUY+dwL2+5meeaWdfOv7/Z8yn7wJUd//7KUswAoEqKclriVH6QUjGcxEgwEAIlFJiohVqpQFEtAl4ijGikwqVcugTLXg7GFRKgQGopMTgPYIx6KxFrRS00liUJULXYWvMCGIFxIOZMS46bNwWH4aP+K19h/+dxnnrGpLIBY/4heMqgWsCiimc6iX+Uf2Mf9Q/jVLbuZweOM57P7Pd2PO9sabx5aN5bQasnmtlbxrrA7GcrENrLKzfpRb21mHVUQe8kBJa3pXV1YFAVC0f5/nzo553MbBRclRwkgeLdJgP8fBtbUismNZ3aD01mI7CeIrko2SjHw+OE6nxqprjl8kJaqFRSQUbPK4GAReJPVNzjZksMVMlZqrAVJW4Hhr8v5uPeNOuYIPHWTGFZMRM4oyhlgVuTYtb00JzsWNahX40tBaMYaoK1FJjKgvMdYWFKmGCx/+z/ohf21tsbI+LYnrvjb0LJC9vElDQuBat7xIIQ2BC41psfUvsVFnjLJw+6rM9pOJol3CDt/17Wp+b3/BhuBqlzV9qotE8So2hmZzidfUS/17/goviFCd6iVO92AM777zq755p//8zWWG3QgOILHm3JsNxlsEp/qdrdN6S5u/fGwC1Y/YEmEjMtK1ryN/pAQ1OBqAQGjM5xalepmbvDFNZP/t1cL+yzC6z3gncfNrXVEJgXheYlnoMNoiIaAeLTT9g2w+YljnE47AKMcAEg9Yl4Ckk4IkxYkqGABsNPNxX8bM6XmUwKbGf4JI0bgCwZyyOzHSiOQPRAawflTtkOi4S8FRg5/PEE2gl6O9H4GnPXPzAssFjPQx43zS47jpszIDWWcRIe+6PbQPB2QgQ/DyboxACp1X9p6+WfWo5Z0kOn3yeGAceqJZxwaH3PTa2wUINj7a8+VG76jqDDx/X+B//8yNOTybQhcTZ2RRfkm96H2GdR9dZvHu/wv/1f7/Hh49rMAacnkywPKlRCoW5KtM+hGT9xntKgRfJozKtccecjY8CPO0znFzIBxILmyLUEWmihGZQR/R4yrKaPvQwwcBEmw6WD5sMFVeYyMnIZqlktdfF+j4qSw9tcBQ5/ZUZT0jacyE4GOfwPmAYKMXO+wDvAnQh4V0Y5+Gn+nT3P4cbc4v3/SV+bd/gTfchef1sYePnY5n3AaC5mmKhZliqBf5R/4Sfq1d4VV4Q40lOUcsHaOifYRVSYF4WeOGnZPSdpCE+A08xJgYLfZVSolSS6JwhjBugaaFRJtPDZVXChoBSUgLHRGso7+FDAGKEFAJaEoVbcI5SCky1QiklFOf3uvdCYizYaHFjVmmc3+JN9/6Op9PnirYD9Dqz1B1fqDl+qV/j5/oVXpUvsFD05xN5ny7SX7ciiHprfcBgKcp5OwxYdT2Mo2jWAJJabpOvl06RzvvAkysDpOCYFM84GfRHPbp2YHocjZlLUSIgwgaLcOCmNJtOZ+Bk8PbRwFOmmmsuMZMlzospYgRqoeFiwNr2o2Tdh4AhOLgkQeYghmglFGqpMZMFWkehBb232LqBpHumBYDk12RT0AJHKVRK9SQPJ8E4RR2nRDnN5Qg+zVSJwTtIxun1EZO5+v1/z1E2Fhw0V+OhgJiKeZfAEBBG78KnrBgjXKSEws73+Dhc403/Dr+2b/G+v8SNXaPx7Rf/fQbuK1GmtXiGV9UL/FK9xuvqJU71AvPkj/g5yfJo15DWreybsfeInbR473CfWfzOE7OEc4q4VoqBMfq7GCMBU5w8Npz1MNbDWg8pyZNDfgK8x7TGhrj7mZKMUogHZ6N8AsCd0Ib877JxLHXBjyvly9ecCQaDJ8acC+4RzBeGkheYqylO9AJTOUnyuu9FXUCVG7058OAxJut/VD5ZEzgf4HKiXQh7927EtjdYdwPWXQ/GGOoHrLEcOWW3gI0EcnjmyC82XUg58fK7ORmxglLm9kEiMPrzLJFjkwRCgX5mNTGaRlAJIGDK058xDTC1Y1BFkx6XgCu+BFiJgyj7nxRPKoRaSlitx/s7RFIRcbBxTnLJtuIQFnA+42QvuxxqRAEe7nfKjT+r7J+7dQ1638OFH4ynY1UIEcY4NO0AIRguLzeoSo3ptEBValSVonRL5+F8wGrV4XbV4ua2xdXVFs56FFpCSgIbGWMohMRUFWOyOEBg50RqTKTGsqhQSTX6RR2rjgM8gYzPXPDU7e57rLoBg3OjoXCtFKTgqOJxFpW8CPZhQOf71P18HPVTcYWpnOCsOMFMTlHw7/BgFOO4CNpgvzodNsYIbz3MYNG3Bl0zoN0MaLYDgg8IPkBpiXbTY7vuIZWELtWTsLJ89OMh5cNwiTcdMWDI62eL8Afd4qx/VlziXJ/i5/o1fq5ejRH3J3rxvCN+H1CVUjira5RS7tg4LPuGkTGLSMlzgnEowUczcck56iTNI6mdgo8BWlDKpeQcU60xLQoCJITArChGed7gPDgDJlqjSMaJ2bT8z2p/nD8OV3jTvcc/2zf4MFxiY7d/yApg2CUXneplGufXOE9x2Kd6iVJQFPbfvka2k0dnHTb9gOu2w7rr0wGMg6cNUDNYAqMyVfcTv5NaqzEi/kf9tYuBTMY1L1DLKrECIuyBwFPuxDeuQ+M7DME8+pAnGQeEBGPAeTkFAMxUCRcDbk2LtemwyFI7xtC6AS6Sp8ZdORYf2algNF/23uLWtHjbrRAjMATqKOaDYvZWAGj52+XGEOtJczHK7Mbnf+DtIphAyYvkXSTTIaNMHU1qrrW+Q+s6+OixUIuvsv/pvUHjG6zsBu/6D/hX+xa/tm+wcVsM/ssJs1leJ5jATE7xU/kKv9Sv8aI4x3lxivPidPTl+6PjcQaRYoh3knUzyBT3/j5E+h4jYKxH1xm0vSEQfVJgOinAGINzAd57cMGhEsjU9RbbZsC2GVCnmOuqVHfOo94HeE8Ap/dhtKgoC4WiIC+P4OlwyUANPi4IjKJ/GyAEBfgwJo4+tdL9Z0cTepukjw/dX9LBR2OmZjjVS0xSQu/3VtTsdaNHWXiiQJ8QIjrj0BmLzlBzvzMWPgGdERHNCDxR44eaO/eXy44el6ICEMdAExctIgsJlCKzccHk97N+sxrgZwCrcEd2B09f0e19RwKcdAKR9oGj7Hezx2xCSOCTS4/j9LmwioCnR8BzigvMiwKCMUy0RmMsttZQgnSS1xmfLCqcgxL8YIkqS0x7zRUqUaGSJeCzL+Bh79dFh94P2LgGXfjBeDpu7WbatjV4/2ENYzwuzmd4cTFDWSo469EPFl1n8NvbG/z62w3evV+Bc4aqVjg9neD0dIKiUOAMKLgAUyTpL4RMRuIBiouxqTZR+uiy56PN8j4EGOfRGoubtsfHbUNSmhSJHgGUSh18IX+pIsi3J8elD8E+yNdpvzRTmMoap/oEs+Tt9L1Vpv3aYCn55wiR0we9foykKx0c+s6gbQY02x7tpkcIZFwmlUCz7VGtOxSVQj0tnoSa7IJH6zrcmBU+9Ff4rSMK/9pux9S/LxVFgVOa2Vlxgv+c/AP/bfqflDwnalSi+K7o4PepKnk7nZTVZ/wvMG4y2N5/599+otQon8l6cwAkoYtxd1BjDBHArCCUfdX3uEkSO8k5JlpDc45ZcX9/Ah8DOt/j1q4IYExSjRtzO0Zof6l2TACJU73Ev9e/4P+c/zdMRJ3MY8vUWf4+/CaesnKDwfqA3hGl/7ppsekHhEAbITAG5wOaYD6RquxKCY6T+q/BEvxR9yvBBAqhMRE1HdCiw6GYURgZTy0adxypXZZIKSaAEqilxomt8a/mBr+2t1iZDuflgMFbFEKhcQYu+FEqK/ZAp/2uYGY93ZgWqpUICJR+FxxKTsbllch+btnxKsu4kDz/BAouoVJIAWd8ZLkculxKJiGEQAHykSt4ASPM6DcnmUTnuxFQmMj6q+x/hjBgbbe4HK7xtv+AX9s3+Ff3ZkwI+1LtN4Zmcoqfq1f4P2f/DefF6bhGy5Qm90cVAwFLwQcwTtJyhj32UWKWZCAoM4663mK16bBad1BKIALQWoIBidnkIKVALCIYk/T4dYermy0W84r8C8Xd92adh3UBznpYH+CcH9kNPCkFMqgFUJCLBCf2lQuwzhPopBWEPD6TPMQ4mr/3vt8DWR5W5PFUYK5mOEnAk2TfH/BEbBMP6zMD7OkYT711I7C06XpsugHW+1Fx0gw74ElLgYv59ODX4Uyg5BUUUxBMwgeLnnXwzI2yU8kUBP78/no2xeoEAmVQ8EszaAb/gd1Od//x7JO/3/93n/687xP1sFKcY64LTJXGwjs0yYoiRLKhkIxjYwbc9D1i36UmxeGjwkEes6UoUYlqNAnHgR5Nbgz62tIc8QN4OnJFIEa0nYExDtfXDax1KEuFi4tZktYZrDcd3ry5xf/v/36H//XPS/zbL2f4t3+c4pefT3F6QsATA4MWEkoI1FJhqcuRYJD3GSzta459zj3eLM/oTYLtJsjW2lGyVCo3UsSPU5H8nVKn4RjRjeRFQZG5JSezyO+taHNuxu6lCY83YD2kvAtotz1uPqyxvmkhpcD5ywUWp5ORsi4khxAcm1WLolSYzgll5XGfGv6wC30/7XAIBjf2Fr91b/Gme4cbc4vW9/dC4Ym+P8VSzfGyvMCZPsVSzVEI/Z2Zzd+/RmCI5c+QalxmvzAm2YD8kMeL9PhKShit4UOAFAKKc5oIlfrDWNj9cTbB4tau8KZ7j9/ad7g2N2R4eo9xLkSBRZJjvCwvcF6kceYahfhrjvNDi4EYb1pwSh2siL1Wa3XQ8yzrCpU67N/8qO+v9u9/ySXqJIky0dKm9sCKI+OppY6qH2CT1Gd0xztw3fDJs8aGgNaZ0bx76wa0zqD3FsY7mOAhOR+9I30IaBwxcjpvsbIdJlJjZTu4EDBXZPyruCBPnJRg13oDK3app4N3I8X9zjtne1JFtrcRzJ/FgZ9dBsoAgMPteczxMXHTRTWmEOV0o6eozM4ICNi6Bh/6S/yre4OPwxU2roEJn5e/75fiEnM1xVzO8Lp6gYviDCd6OYbBKC7vlQhqjEPbWwyDBee0LyG5I33uIdAmv+sMYgSqxFbKSULeB3DOEEgfR5Hng0XbGXDOoDoBqQQ2mx6bbY+usyi0RF/Q98E4DIOFdZ4YoykJ2HsCvAAAW8AYD5FeJ6TubWY8ZZYdgFFKcef8fKTKNg4mpQP7A6SenysGGseKF5iIOsk7v78GDx3SB2xdm4Bb+yQ7bsbJqqTSMvnnhtFPl+YKau5rKYk1Xhco79m8uzNvRiS/MgnNS9RyBo8AG2pkE4pS1ChEOUrunnPtDP+TZxOAHZj0ORDpU0ApfubvvvQ77z//nz32z4tSkhkEyGg8pDXD7Y15ZykF9e47juNb+dKaeCeNPiU5T1WNmZzABosWHf58Jr5bLsmmhRNoXEfkh71GzfdkW/PcqtAKp8sJfvn5FOtNh66z6HqDm1WLN+9uEWNE0xpsth02mx6rdQetJV6/XOLVywVevljg4nyG+ayEVmJPqs2Ovlb8WR3tVEXGvCwdKFNEsfMw3EE4Buv8GM9+rPIxwGVmT3g8s0ckumGmaH+XwFPanG9dg61rMPjHd4UPKe8CNqsOH9+u0LcD6lmJk/MLSC1Glky77bG6brC6blCUCifns5HCfox5KSCkjnOPq+EG/2x/w5vuPW7tGj7cD4GfyAovinP8VL3Eq/ICSz1HJcoxavnvUIcOxUMer6XEHIBOPkCCkZRPCUpU+KPKhxcTBtyYW/yrfYNfu7e4MSvYexxeAKAWFc6LU7yuXuJ19QIneoFKlJBMguP7u/+ftBiDEnQg5SlifloUsP6wrthEK0xL/WMT8jcqxQRqUWGhZ+h8hy1vDn6OEKmZAMewdc14yPPBgzPq9B5aLgb03qJzFtemwfVAXzemQ+9tEhLtgPj8s40eK9tjbXtIzqH2kuds8DgpJpAprEEk1koGn1zyarEpGMVGv5s7v8ItEVLTzkUHFeXX9YBEZncRM3ttt3jbf8D/av6Fa3OLzvf3eg7FFZZqiZ+qF0kafYqprFHw4t6gWYxAPzis1h02m468lASHFAJSkUzO+4Cb2xbXt3S9vnqxwKTW0EqQj2VmAVN7mHzABodtM4xSOcZYisE2GIyDMR7GeAzG4XbV4nbVYtsYTCYak7pAWcjRLzH7euz7Ro2VzgtScGgtoTX5KhY6szqOezHt/EPtCPg+9tqRTKIQBWpRpuTe729v5VOS18Zt0Tww4e8+JRhHqRR42h8VUqBKTR+ZJJadsdj2AzadwcV8gmn5MNYigZnEgqnFFILJnTUFY1BMoeDVdzleVIeAQg+5j44/kfsQ0DmH1TCgczbNEQR2uxSoFbHze+MH4Ak8y17lFHM1Rec7rB4wti4S8JRTSilF2o3p3c8dpHzOVVUKL17MUZQKHy83+PBhjX6w2Gx6OHeNy6stmmYYvyYTjdOTCf7tlzNcXMzw4nyG09MJylJBqW97tjkK8JRlNIKTGTEA+ODJHd2R5jR7uRwLd4oxmQpHBxtMMvV73JNzJlBwjVqU1H3h39/BM2/OG9di61rywfiqwJPHdt3h49tbhBCwvJjh5/88x/xkMhptvv/1Bn1rRsZT35txYwU83MciVwYk+jDgytzgn+0bvO8/khnmPamjE1njRXmOf5/8Ay+KMywVAU8/6rhVJKPyqaYN0riRv8e/zfHYQzC4Nrf4tSN/EJM2xvepSpS4KM7wH5N/4EVxjhO1QCWqH8vjZ4qBvLwk5yiUxLTQD5rP9xkcP+rvUZJL1LLCUs2xsVtoczjjjUBmmsOJ8dTBRpLYM8YQcbjdrQ0enbPY2B5XQ4P33Rof+y0Gb9EHl2RXv8+xpCRdAqyy5xMATFWBUz3BaVFDMp58gjIT2aNxBpZ7uOBhgkduS2e2+NeoGHMK13HAg4NfHzElD3tsHHk7/a/mX8SkuWfDQHOFE73Az9Vr/FK/xllxksypDzto94PFatXi6noLkfyYlBQoS4WyUPA+4OPVFm/f3YJxhkld4NXLBbQSyUuJ3Vmzgg/oB4vtdoCx7o5Uz3syhjbGwRiHYXC4WbV4+26Fm9sW52dTnJ8FMEYyZPKL8mg78uxwnjzzuCDhQ/anKrTEbFpgOimhlID3TzOecUyAdMk/9LFeRiypDDQqUUF/BUP7pyif5UV2i9a1qen1BMATZ6i0RBklKiVRaYW+sBBpPS6UpNCPfkAzGNSFxrQsHvhqNJdKpiGkQo3pnd9oN9N+z6v49/XeXQxoncXt0GNrDKwnSa7k1BBUiZGbwacI3LHD+KPi4Ch5gZmcYKamWNn1g+5FF9zeGZR8GF30KdeP4YnDy//SVVYaRaFwfj5DWSgMvcXHyw3Wmw6XV1sMxqFtBzSNQd8Z/J///TV++fkU/8d/fYnZrMJ8VqKu9cii/pZ1NHPxrIcPqSsjk6k4QJs0k5KssmFjrsd0vbObvx+7ko8FnpJvAFOJ8fD9ofnkJWGwcVvS2YbhSVI2xpSX7IXgI0II6DsDlzp0wUdKc+kths4QlVwwOOOIRp6acpkyeowbwifD+d4PWNnNSH82wRy0yS55gYWa4aI4xVyR0fzfhaFx6O/52MdnJtwhla/zPgxY2TUxINJCd0iSY8E15mmcF2qGUhR3Eth+1K72x+0hY/aj/r6lmMJE1DjRS9yaNbR4mNSSNtYeNjVXrs0KtahQyxoTcXgHXjIy1fRR40TXQARKoWCDHwGlpa5xoqsx4bNzFpJxTGWBqSxGc3HBOGqpsVAV5rqEYPkgEMfUuxNdU4qeEFB8l2qWwxw4Y5BcYK4qLFSJWmpoLsHBoLjAWTHFf87OEWPEeTGFvmdzLCRJYYgkb1vZFVZ2M352pSjQ+wG97wkU0oE8DrEbp2NBxTZFbre+w9pu0bgWvR/+1NdpvySTmMoaZ/oEJ2qBWlTUUT9wTuKcQSkBpSViiLDWw1kP7wOsoXSgvjdwPkCAw1qPYbDwLqDrSVKnFMcwFBiMQ28cut6iSSm+9HZYSsEj36Z+oL+PMaJrDaylfQnnDEoSc8mmBDxj3agW8D4ixgCWmFS5hODQWmFSk2G5UmI0ST92jaDhyFt7eDGGPbN7+aTyzqes7GuzchtK2wz2STxL77DrfPLV9R4SERoCIp3qXQjojIXkHO5AGTy9wKf/SVK1p/AzzT4yuwTUx9WYPPnFM+HX4PE/TXFGa0AlJIKM8ELAh5DWDGoIllJC8h0gfn/GE0cp6MyzcXNciZsHKTsiaK2JiHRP2A2uhhvUsiIPtx8qgj8tklNTiET8gim2lALzeYXXLxe4WbVYrTtY66GVBGpAK4HptCQGbakgJe1FXJJ0C/FtZY9Hk9qFiLRxiGMEpEqpVM6T7G6MXMcxbs+U5JA2K7tI0YdXNqyUaRH8HmmkIRLTZ2MbbOx23NA9RY3mmy7AWUeO+p2Bc37c9NjBodn0ABiEYOCCo2sNvKXHZBbUsVDYADKaXtsNbs16NKGl6Ok//xzyVF3wAjM5xZk+QSkKaP7Dk+Y5VYgRvR+wdhvcmPXI7nPJTP/PZoPdOGvM5ARn+jTR/b+/QIEf9aOeeykuMZE1TsMCH+XkwfdZ9q6wwWHrGlybG9SJiVpyDXnglkZygQoEQEnOMZEFzv10BIwYCIiqpKbUXu+wsmTiOpEFJlKjkgqaSxRcohAKpVAohaSNXToIDYXD4B16b0eQSjI+boToaEfrIAfFHBdCoeB0kCAbAIkX5Qyak5n1UtcoxP1+35AYTjZYbByZeX8crlKAQoVSlDDBJO+tCM44avE0AQDZCuDWrkcTWhf9eGD5s2JgUFyiFjVO9AILNU8Ng8P3a1IKFIVCXSn0vYMbLKwLsNajFxbeB/QDJREykKdT31twTrHWbTtAKYFuYka/pq43aDuDGCOBWlKMeyXn6N8DgLUeXW/hQyB5uRIoSzkyrazzGAYH7/xoQ0DMcDps8iQNVEqgKhVm0xJVqRPwdPxDxZjyFwNiPI5tBktR7pLJBwGHz6GyvGhtN9j6FuaJpHb75WOkMKfBQkuBInk5Oe/RGYt1N4BzjvqBUruvVxTcsksEPcrJMF2n8UkAwG9VgjEUQmCi9eg3GDPPl1H8TSklVApIOOST5IyhEmUCnprRVuTQGmXpyepkZdf4MFzhNC6hmPyhGrlH5YCuzJj9XHHOsFjU4JxDJ6PwYXDQSiDUdM8vFxWqSkNKTs9pPXpEKCXBmMCfOJk8aR0NeMpa0xAjOAh40kLA+rDHeDruRBBBFPaYOjCPrV3ClYJk4rtMLAsxjHpz2tQNTya1iykNxjsPMziY3qJvDZzNcrYIk4CnECJ5KEiOrhkS8kpeMftpQI+tnHC2shus7A548gekMzCQ3nmuCHiiSf37AyH/ykUAK43zrV2NwNOh46yFxkxNca5PIO6RgvSjftSPOrwUU5jIGgAwS5IohodxlCNiAp5aXJmb5MlYYBHnBz+XZOSNUgqFiSpG34yRiYtdR75xA1a2g0yJc0td4UU1w0JVmMgCtdSQ6fD86d4h7B2G8t8fyqzUTOBFOcOLcnbw75mTbodAbOgrc403/bsxvbPkxRjUQqBTjdOwPPh17lMmWGxcg2tzi409LHY7m8hLJjGRFU70Aks9H//8kGKMvHGKQqIqNawlVlEGhgACmobBJn8lEGOpJ/PopjVo2gFaU2rdMNgUZU2MJpH2NloJYmEEktp1g01MKnp88IFYS4pAsLKQaFMDrx/2pYcMMZJkLzI2mpFrJVFXGrNpCa2fNgwj77nDPZo79ykOBsFpz/3dMp6CH/ecjWtgHhCccGiFEGCcQ2vI66f2ZGOS2U7rtoeWAtY954P+junEcRzQ8Q44+mhO3vMqnti5E6VRJFJHXkOz+qQUCoqLg9eWLLWbqzmWrn0w8ATswKfO97g1a3wcrqC4xFROHvR8f7eKMe6aDv7zZ3fOGRbzCot5Bc4ZhsFitW7HgAylBBaLGlWlxiAM64jBy8Agxbc9zx5tlWKc6H6CUxcvx3sCO/8nflT6b5qwGE/spCPSNEcq8fdRIW0qbXTUdXHbXcJGfFzk7ZcqRtqUWesxdBbtpkOz6bFZtRh6S2MjOJwl4MkaDy4YOGfomgHeBUgloZQYo4KPsfDkz6L1XUo2s+N1+GdFjDcOjnRNgX+XrLe/Q+XDZ+d7tK4/KFo9pzkJsjwcNz0PObz8qL9G7VISE0PFW5jgYIOH4tSVF0xAcD5G2z/H2k97DDGmQ2IAZ5Q/9K1YBYJzFFEDAmPc/SSl57joDwKMAWIZbF2Dj/0VSl5gKiewxSlCJE+T+ybo5McQo4U8KGKeBUbbJfpvDgbFBEqhwBgbN/kyRVhnqdzofrKfGhSBwOg5GLv/+ztWcUYG6AAwlROc6BO46FELkkBUvBzHgTOOE71EIR7qD/PH5VJUd+Na9GGAD/cfewLsxMhIz6laD523lRKYVASCai0xqTWGYQeChUCHAGs9pBQ4WdaYz6oEJEUUWkBKgcWiSh5LkuSahQLngFISWgu4xKIy1icDcwKNsqQuIuL0ZILlvEJdFQghQkqO2axC7taS2XhIpuUMUpIR+mRSoK41OH/ae5sluZXIRsFHmgMzUPA105cfWy542Ghhg8XabbBxDRrfovcGLronPz1wzqGlRK0VXAi42jS42rawzqG3DpNSo9JqVJ0cVBEI8GlMwshwY0kWKdj9EiP/rDKoL2Lebz9+/5XPb4cwKL+nysCa8X78AjBG3mshYMNdv9T7FGMMiitUiGMzYiJrVK6EC46UBAd+lr0fcGNvUfYFKlFiqeaPSqD9u1TfW7x/v8Lb9yu07Z+D2De3LS6vNri+aeh+SkxY5z222x7vP6zHxyol8OrlAq9fLogEknwqbaB1P+9hRLIPcDEkpraD5gITqTFVd9NHHzKORzcXz/rSkBhQQIp95btN2bEut90iKBIj5TjAxU66931MWvtmbiu33lsEhwdNGPcrYjs54zD0Btt1h9vrBttVi74zBDxxDmc9mk2PoTNkdMcYnHUJeBKQWhIie6SLIoLSgzrfJ28ne2+Pq0T6hUhRzPxHCsOzLRpnS8CT7x42zimhMI/zj7H+e1cGnUIM6LzBxnbo/IBSaPriChoSnKtnbZI5eh+mDbgLnlgF3zCRUzAxmgfnTe1U1OjQE/hwMPDksXVbfBzIm+K8OKU5IBmNP+ReHkEm9umfpZ9Hjw2VUoDk+JneZw5he8/9tS8fGncFzgVmcgqnHQTjmIgataxRiXLc8zDGiEXGnwh4Cg69H9D4DoO/f+AHfX48SRWpZfDQsc5FsdIFlJKY1B4udYUBkEwykpdOCOTBVJUKZUmy+6JQWC6o45yZSpVXqEqF5aJOhwCWvMFi8mkKu70wY6OfRwRQlWqUyknJUdcazt1d03JiFQNGxrhWgoAu8fRXVf78+QgUPK4yKyUnEX8ve25KsuvRuG5s9rauwxCGe1/PjynBGLQUqAuF27bH9bbFzbaDlgLTssC0LFAXavTZPaRyeiGFDzj4QN8pfKlMjeLjrCO7fZg4yn47Byf4HJzwF9La7VyrCHjamAFbQ8CE4pxk40rCHQDk58ryZc4YallhKmpM07owYCBly4H3Zhd63JgVAIalnuN1uBibYPk1f9Tvqx8s3r5f4f/7f73F9c2fp//2yWuw6+ha4Mm6Zr3p8OHDBkWxg3mqSsP7gNm0xGReYGsHXA8tOkcWADJdRzp9DcHh1vRYmQ4TWeBlNUUpZbpXH15HYzwR8EQA05i4EXdxsiLLqdhxmC25a5g3IUeZtPYWwefOedqfUCMChkDyuluz3hl2huEJ3wB1A8k83KHdDtjcttiuOtq8Uut47Oh9rqSibiEXxzv0hxhhEyBBcdvu3ovPyKDDrpOaNdQ/6nkVJezQASbHqt+b2XaHKfk9Cmp/1NNUHDeuvTdY2QYb22EiS0ylR5S0nikmgGdqkrlLtIlJXuUwBAcFOjgfP2T9fiWYgEjd94mkTe1UThBBSVkDDpOn+EhSOxscKlFibbfp0OcgIA8GBu+Tpkmbc4FKasjAUXAJ9Snb6Qt7m2+d4pgbKQAwjSR5LASlidWCDhhjyAey49TTHA78HuPpUHk0T2xVvse4eeg1zRiDUhJKAdizs/rSMvLp0M4PUDx+zoN0/7Pdf+4YI6pS3Xn8/kvHT/7sazEHskR0v2Hz2Nkky0+PJd17ytrfR+Yku5VdY2WJ8dT6LnmkPe3r53chBaXZ+RBwtWnxPz9c42RS4R/nAi+KCUqlIB/CeErNFx8sTDSwgb7yfklFDY6AEap/xPXHGJEHZCIPHAPIDNHDBQKevicW3X2K9icEPDXW4rbvwRgIKBAC86KATUB2nsjuMz55TlVQu8aQnGAiKsQYMQQLHKic6f2A27iCCQavywu0rkvrs/gu0yu/Vg3G4fJyg//3f37Eu/eroz73dFLgZFnj3/9xBh8jGmtw2TdYmwEqA05CJF9LidZZfOi2+NBvsdQVKilxHiZQPCXQP/B9HC3VzvkA4x0G6+BDHNlPLgQ47zEkc/FjAtD58HgsY8KQN+reoODfj6G0ix5ru8X7/iPe9h+wsusU6fqElajeRaWSvjhAFRLbeYdm02G77mF6O6befWncnXUI/jhGlXfe3gMYLDFGeNAmuPM91m6Da3OLgmsUQkOz527U+PesPz8y3q0YwyfjvMWVuUUlynGsf9Tfs0aT5/S/CGDwNqVlWgRMobi8k/b1vIrkdZntZIOHCSQd0s9ks1fyAid6gZ+ql/gwSLjo0fj2oOfIwDMLDFvX4HK4xq/tW9jgMJczzNUMih3X70ZwhokscFYEuBBQSYVaajIA/44A7LvMvg69H0bpQ27mESBVPpncbnefHVYBdF0bP2DrGtyYNQpe0PrMNcQzHoV9T7P7vMv8+Of0G4k9M/DHtnpj3PceGyCZQPhO9txDMLgxK7zp3+NDf4mta54sxCeX8wGtseiMRW/prDU4h1XTw4eAUitwztAbi6tNS/JRKTDFofuZ3JiT4NEhRIchdAAifHQYfI9ClNC8RMELsEc0YUjSTExGPjLp+IP9mTKovXUtNNcon4i1+S3Kh4jBO2yNQYgRy6LEoihg89nbH4dpJ5jAVE5xUZxh8AMAhs739/bhyxVigE3N4Ruzxtv+A2pZjetz9nz8UXerLjV++fkUw+Bw++/nR33uspD4j38/x2xG3m/Zr8/HABYZEOjPjPfYWkZ/zoClrjBXBTg4OkfYQgaqHlLHAZ5ihAsBg/MYnBuT7QRnsJ5+iR3wdDyAgYMWQcUFBB5vTEibGochDLCxhI/Pf9KKiHCBgKd3/Ue86d7j1q5hw2GTxKHFGCCUQMEZhBDQhcB0XmE77/D+zQ26xsA7T6l3fwAsUXTxsUGnz//8Z5VZAgERne+wsltcm1vM5BSM8R+JZ8+uRjeVg8Y5IAJ7ka+bNM4LNQOT+AE8/W0rMT4iG5m6QEQfDJwLUHyA5hIz+XwNWzPjiaTuOdjDgYPB8xwv/W2PsoUosFQLvC5fwkaHjdse/BwhyUFijNi6FpfDFf7VVsR6rIhVpY5H6AZAh+6J3CUKKS4gGfla8qMIj75mEUDZO2JpmGBHMEhyiVN9AsnEkwFPwOFXYV6fY7IWoGS8FSpRYIbp2IB8znXo7/y5x3+rqyx7I0ouiaFyBMaTh4eJFoM30Fw/WRDOMSuCrr8bu8Zv3Tu8Hy6xtc2Tv3frAzbdgOtti2awGJyDsQ6dJbP6UpFUqrMOV9t2lN0dWuRnt/PO9dFj8B1ctBjYAMUbVGGKmVxAMQX+iIZGnjM52zEZOeMP9mdy0aMPAxrfog4VJvGvA26EGNA7j60xEIzhpKxwUpbYWoPrrsVV1wHA2Ox/KBFDMoGZmuBFAp463+Pa3D7g/XrYQO/l1q7wtvsAxSReVy+huf4BPH2hqkrjH7+cYjotMQzHJZBIybFcTMg7EBn8p3UVAYicPA1dDGTRwDgqqXCiK9RKQzCGzqe9giTw6SFX2dF2Zj4EWO9hkz5eCTK/sylt4Y9YLw+rtAgyCcVUMoV+5CKYui+972FCdbDvxNeuEAN8ktmt7AYfhku87z9i4xrY+LSMJzK3FIAU0AUA0AJX1hrNpseVWBPo5AK8918ce+8D4hciIx/0vrCjhB9qVjh2WSLQ+h4ru8LH4Qo+hhRnrcZn3PeW+NJr/DDPe9rKB6WHHPkCAhBT8obd4ONwOerPC1HsOvI/xvlPa5SRxNRBCTuZdZYgjY8F9u6f5/XZEcyUx3xnW2yCQ+sGMMYxVzXcJ1Hi+0be+xNdvnbo99/x8sZUqHhXCDB2f4E7/y5vwj+VkubPjoONcx4xgQJMcBiCHb8EY2NHPstadvKf3RY//175+XYSMZb+7Zffy/49k//t56rkBZZ6ARc9Nm6Lj+I63VuHHTV8Wv+alG6XTW9rUeJMn0BxueOuHeE6o02YRnUwg+B51QhMpgTYjSNpPkDjqLmC5pTquj8ixwLW9sfkUGZyRIRPB/9NYroVXANgiaEe98b7j2fuL8siD/6V/rQONfp9jkVsOAHFZAL5xCM/qwgfPEww6EOPMhT39mn8FpVZgj4GtK7DjbnFu+4DLodrNL59cuDJp8S6VTtg3fUwqdGfQYZpqcfQn40bsKjL8Tx2WOV1i1ZAFy360GHwfZJZSoQYoHmBCWYPniP25c3k17sL8QB2kvFDygeP3g/YuhZTOTmYpfOcy8cI6z06a1ErhVopvJhMoHuB1lrE2MIHYuOaBBqQ6fhhslyZEujOizN0fsC1WdFa6tlB4xGS7NHHgJVd413/AQyA4gpzNcMizIjpdqT1+a9SZanwqlzg1cvFk75O5+w4mgEAYkQMNL91zqL3DqWQqKTCRGkKVQEweAfJOHR8OHx0NOBJcA4lyNwMALQQmGiNtrBojEGtFWYFdQuPUQyEzGqhUYoCiqtHX7wuOLS+w61doxAFJuL5IrIBARu3xcY1+Dhc4X3/ETdmFyv/rTpHDOTzJSSHVAJCcMSYoj9ZMlfdG6ey0pBaHK2NlzdHmmtooSH4w5hwG7fFb917+BhwXpziRp/iVC9RioKo/VynNCMxdv8Y+HhY/DGNPm0xxuj+T+MskzHiodW4Fu/69wAizotb3NhTnOmTT8ZZjhuinKT0Y5x3FdKGyDiP1lis+wHrvofgHPOyxLwqqHOajHS1FCiVGteK51Qj64NxaC5RCAUT3GcTnDwCBTt4i43rsLX9KGsDgEIoTGSBiSggeb52GBo/YGM7bGw3gjgREYpRQpriErUoUEsNxQQ2rsfGdmj9sDOABkuPFSi5pteRJWzwWNkGt6aBCS4BYgSoTiLZg5pg0TmDzg/U2YoePvgkzyNgqRIalShSchuZaEeA3rfr0Htzx4xaMUnmpkJjKktMZQn5hU64FopYpAAuh2vM5RS1qOCie3DC3cY14IxDCzUaZi/VArUsUYvqx526V5kV0LqWPDeYQCnKEYzcpVY9zWcmGIfiCiUvkqHt4XvCIRhcDleQTKBxLc6LE9zaU0zkBCXXKESRrkm58yQC+UL9mLkfVpwxSCZRCJI2SvY4lQHNRcRcW9kNCq4xC883ct0Gi41rsLZb/Na9xcfhCiu7Qeso3OSpPaqU4JhVBUKMqAuVZHcGDAxaCRRSkOwqAVKTQkPLw9lI2efWRw8bLIwf0PkGNhgUvIRMLKdj3kOMEdOyFJSANgSDGOLBa4GJFlvX4NrcYCJrnISnPbx/zcrNKMk5bPC46lq4ELA1A666Fo01ED3tTW0ImCiFidaYJKZKTiv7sxJMoBYVTvQSre+wHOaYyAmGYB6ccNd5MhpnYKhljVrUkEyiFiUqUf1QGXyDYoxwmlpqmLT/84H2lpqLdL1wDN7hqm8xUwXmusRESBRCPgrLOU6qXZLV6WRkp4TApNCEziY9shICs7KAOBLwBACCCxRR0SbjgRuY/bLRoXEEPE3lBEY9sU/SIyrEgI1rkrzuHd4PBDw1roFPKPM3KQYwTpGOUoldFz8nG/K76HZZ6/S4I3VT0+ZICw3NFW2OHgBIbOwWIQas7Ro35ha3xQrnxSnmaoa5nGEqJyiFHr3AstcYwJOx7Y+N7VMWQ0rKEorAISYfdA01vsXb7gPWdkPjbFa4LdY0zmqKuZzSRpuTh8iuIyf2jHj/3hVixOA8WmNwuW3xZrXBm9s1Cinx03KGn8IcgvPEiPWYFhoMDKWSz/LTYyw1UrhEwRU6bsDB7hiVZsDIBY/GD/jYr/Cuv0XrdoEOM1XhvJjjvJijFDQXSS6wNi3e9jd4192Oc3WIBPaUUqMWGqd6hlNMUQmNq2GDt90Nbsw2xVuTlD2n7S1UjYtiDsUlTHC4Ng3edtewwScdvoTmCi6tCYO3WNkGN6bB4HesKBMcTHDwMeBUT3Gip1iomkAoSQeey2GNd/0NVqZNjNsIyXh6LwoneopYLlAJDfkF7w9i0zCUosCJ/oiZmqKWFQY/ID4o4c5h6xqYZIA7ERVqUaXmyxIlL44S//1XKfJpGdC4dgxaqESR0qBCCmx5Os8qztK9lRqGD5HHDX7A5XCdGKsr3Ngz3No1TtQizd2zsXlQCj0ydCQAjKlKP+qQyslXRaR9z0PX3FwkWbPYuhYru8FMTr5KItxDywSHG7PCu/4jfu3eJeBpjda3JPt9YuBJCoF5VaBQEtPSYNMbbDsJKTgmhcak1Bisw3Yw2PYDpuXDgCeAhLiUbGcxhB6db+GCpTFniQ98RJZKvrYIeCoQEeCCxaFXg03X05W5wYlawDy11+1XLMYozVByht45XHUtrrsOvXdorEFrDbGiQsDGGJzXNc5jDcU5ycIFv5cbl2ActayguETveyzUDFNZo3UteiSVygHXera08DHABIta0vqsucKpXkJyieI7ZxF/j5UBploq2ODRe4chWoQIaroy2tsb79E6IrNk5lMpHudrebSWc6Y3y2Qqzhjgg4QWAoV0EJyjkMRKiJ/IER76eoIJqGQgpxLIwMFG88xDywWLxrW4MSss1BxDGEbp1WPe62Pqzu8RkToRAX1CkN/1H/Br6r6s3eZpk+zuWTm9kHNGrCdJzCchOCXYfQI8KXVcxpPiElXqnCiuHnToaH2XUPpbdL5H6ztsXYtTvcSJbrFQc1SiJENqoe/Qz8do7aNdLvtil/xb7v3MPi9fuCuX2ZOM/QVorTTOahyDh45z53v0fsC1uUGbxrnxLU7UEid6gU71qCS9RsmLxH6SI6BJG7Dj/Va7/8+/5d7Pd8Z5/2c+dsO+xTj7ENFZi1U34Kpp8W61wa83K1RaQcvUcGAcvXPoLaUPlkph/knS07e8Lvdfm8WYDsdi9PHhjN2Rl4UYYYJD7w02tsONbXA1bNC4HoS+AzYS3V0xASuLkUG1cR2uhy3edTeJ4UMpqsRyKjCVVZJ8ktHuyra4HNb4MKxGqQdtDgvUokCI9G9PNOnyOz9gZVu44FEIhZIT88oF8kQywWHjelwOGwze7EnyXGJJhRGEcMFjrupxTV3ZFh/7Na7MZnycZILeiyzAwDCTFULx5fVXcUmsLlRY6gVO9AJLtcCGbeFtgMFhh4UsGet8D8kkJqJGKUqAZaPsEgU0OMTvQI7nPhd+6o2YY+dDkv1kZjMf54Asr/jywTDL7Gx0UExCMwXBBVxwsME9SAJ3SAkmUfACE1mh4PpBCUc2OqzsGmu7wcZt0boereuw0dvUqe8xEdU4dyumaN7mMiXjHVPe8em8Tf/F9n/6whrNs6x3j0H7XK9JlozFC0EBHJlN9hCZLFWSTNotbs0KJ2o+ptMeIg06du3/JiRLpXmu8Q2uzA3edO/wtnuPq+EGW9c8aZLdfknBIYVGXQCFFAAYfAgopMByUmFZV2iNAef050qIkQW+L6H+8yJblJh89Fy0sGGAT2vDvnQ5syTHq/2Bw7Xbt5eoZUWsTDbg0IvKBIvGNbg2AutiS6bYe3Pa99yAYCCChxIkrWuNQescrM+ePCF5PJIRfSklZrqACxGcRYh7fpaccZSiQCkKLHyHpaL1ufM9YJHu0cPeuwkWJlgMfsBsmKAWFVSSRmuuoJgET8zUO7veZzoX7tfnbBdiahDm9Xp3FtspJg69Fu+kavoA78k/OcSAEOLvLGsYT2m7iQgiBAfnu/MK3XOUYDcI8uDuE9whEpbjQ4CFh0nXGAdDIST0AxUmuY5mLp7ZTYNzo2+ECwG9deisgxYCgnPUWkHhODf/zlxcoeAENJSiJMp+8AfrxYdgsXYbiJ5joWZ4UZzBBjdGx35rdkMEGalu7Ra3do1fu7f4rXuLd/1HrO3m6ZPs7vMeY4RzHqZ3cC6gqDQmsxK6kOCcgKf91ameFFBaHm2CyTTRpVpgoxrUoho7c4dvjXLyD4F8NpAR7uVwjUqUNGFykqKIlMaxA52Od7Xsb1bvHDDGgwZPcpgki+EKiinaIO51fPf189975cVxoWZodIuJpIUsf+qHjTWJl3rf49auyXvG0iYzL5A6jTNnAuJrjHM6OO4OkTyBGHR4yuOd/VgKUYzSFfGZBfwpy4WATT/g/XqLm7aH4AwXswkqrVBrRcwg79AMBs1goIXAULnkA/WtZ9WHlY8Ba9vi2myxtWTqeVbMcVrMyHA6bSpCjPituyYJmqowlSVMcJCcY6HrBGbR1Ur3LoFdIUa0bhgPPaVQWCqSoUQQ40mx/Hg5Svm0kJjLGi+KBdokpdtnMuX3lNNbI4CCKxRCjdcaZwwuePTe4F1iRNnooZhAiAGV0Hfei0ggnUzv5xC2zFTWeFVcoJ/2eNt9gH9Awt1+DWHAlbmhn71B73sMwWCh5pjKCWZyOgK031NlY+0hDOg9fXW+Q+t7MCDN80UC4ivUsoT4Qn9bcYVaVFio2d6aBQSW/LtCeLC5732qEAozNYGPDu/VJQqhH5RklfeZJIHaAohofY8bu8Kk/0gy7LRG5zkxAyXHZKt+Cijtg0lZmi25HOfucd/A1MiaLoRO71E822Q+BoAn1pjmiq43WaL0RZLguMNW3RipgWrJQ+ZEL9Cm9Ky8t/nW96mLDhvbYOsafBgu8Vv3Fr8lttPXSLL74vsKgZo9bY9KK1SFRkSE9QHNYHDTdGBgmBTk+3TY9jql2kGk/a2G5gVscj0M0cMHN35xnueQh5/ryFtOYyJqTOUEgzcPYkK64ND4DtFE3JoVVmY9yji1UN91MjVnBDpVUqGXDiYEMEegmgSdrea6xFlV4bSssSwp9a4QApLzBwEFBdc4LZb49/pnCMbxln1ICXcPYyYGBKztFm/793DRofc9+mDQ+BYzOU1KkgLfo5Yghw4MfkAfDDpH6/MQBpS8oD26KFA/MDE2e2WHELHd9rhddVitW7SdQd9b9P3d839ZKBSlQlUqLBY1losKs2mZlEd8fM/5fzkJ2XgPzzhsIEbUQld4Uc2w1CWWRQWVZHiPObMfB3gCYL0fUdiQjMSzEVpnHUolUWsFH0ocK1eHfnmSEpRCj+yHIQypG3jY85lgRgDnrDhF41rYYBG5hAS+OVoeENEkT6d3/Uf82r7Bby2lapiUTPOtK4YIZz3MYOGsh5Qck2mJcqJpgeLszuBXGXg60uvnDjcY+TTVsho9mA7dTOeNbed72OCwde24eczPmQGg/Y0ncNxpc/c6fNw8776LxPz55OAhKkzkBHM1RYhT+kw4nsVm7hjF8ziDWEsTWaeuCT/Y3yyPc+8H6my6duyO56SkfCB/6nHOB5ZPx5hkWjKNc5kYfXmca8wkSQMrlND8685Vznus+wEfNltsBoNSSgKeFAFPMQK9I+Bp1fUolYRxHjFERBZHQ+3vqQic7PCuu0XvDaaqwnkxQyX0KG1b2QZvuxu86W5IhuancNrDBgfJBOaq3h1UGbvT3SXA28CmLnMp9Mhm+ZSNopkcWVmCKcxUhYCAlW2xti1WbsBwB3iitLs+WBRcokgyuVoUmEgCL99013jT3RBzKnlD1aIg/yepE9DFkB1zcqkD/YGmcoJX5QtwxsmE1G1wOVw/GPTovcGVuUHjWnRp02eCxavyAiiBiajpgPQdyWTzZ+GjR+vIDHxl17gxK9yYWzAwzNQUczXDUs1xqoFSFBBf+PXIQ6wa18O86TTBJnN6n/7uaUpzjZmcQoBjJicouL5z/R+6RpvgsLFb9H7ArV2nJoscG4a7Zs3+fXPEhsEI2PIUQ7+bt/PcXY7rM83bee6eqylmcpY+F0U2Bc+UlcHARsNinTy6alGh5AV60DpwCEUlgtZuJMLQq/IFOt/BpfnxObAdbHBYuw0+9Jd4073Dry0BTyu7hgn2mwUQ+RDRGYt118OHgGVd0pnLebSDxW3TQQuB5YT2SIeAT5lFLSAhmYJiBDwhEuuNmiFu/BLJw/Ux1y0HH5POpnKCxrUPSsuz0SG6FsYb3Nr1yIqcyHoEt77X4iwxVKREKSU651KAC4jdC4Z5UeDlZIpfZgsUUkAL+nqogXfBNc70CcKE7uvO9/g4XIEF86A1OsSIjdvCBIuNbdD7YQRrXpYXqcmrvzu7kryOmhR6sbZbkoCbW2zsdlyf52pG8sIHJMbGGEem03rT483bW/z65hq3ty1W6w6rdTdm2zAA83mJ+azCYlHhl59PwRiBUVLeZUNH7LGgkzE9gyfvTi6wLEq8rGaYqQKFoObiYxvGx5HaxTg67g/Ow4eQopwDRX46n2hbh6cUfKn2D3+SZ+p2jYmsER3JCXDgomCDQwTFC5NvAH1lA7T9Q/tTL4r7yUNkuupggsHlcIO3/YeR6XRprrGy6yd9L4dWjBipfzGhjF9rk08SFTIVn6sZZnKKmZqg9R0ZJR5oApnNeA0s4Lune+N/UOOmFnw0NN+BEQKaq7SRLVHLejTXncspGj9Hp/okPymSEb/8xBR9B6h8L8XA0gLFMZezsVtSiwomWKIDH8h4tNHBeoeDjQWOVPvjLHJUexonwZI8SaZxFhWNtawxk1MsVIvOd2PHqBT73mNilx7yBOPsY0RvHFbdgM5alFJiojUqpcA5g/Meg3VojcWmHzAvC1jnn9gR42nLx4DWD7i1W5jgMFMV5qrGQtWj31FExG/tNW7MFqVQ0FxiJsvRKyoDjMQW2m2yiVnAAVBCXX68YHT/qzHKnKqSBHaJBFrWgrrfLng0bhhp+Bl2D8ibDIeC0/uaygoLVWOhaxRC4cY0sMFhZRpUQmEmK2guE0OL7bGc7r6XUuo/jdjdXwtqUeG0OIHiCrd2jQ/DFUktgoON7mAQmfyeHLZoRhNUPxqWJ3NkrhNLbB9U/npr+7j+xLxhzQlOiTafmLYxxmRg75O8noCV2+Q7eDVc42q4AWcc58UpXPQkNZQ14h/MfRS+QTLl/aQuyy0GTqa+++vCsUsxCSbKFNs9xVROMZE1bJq3D+2m5/H9VjYDmaHK95pCu+ARalJVokSVjO4nyVx3Imss3RxL1aFLnlSlKJNnoRif67kkP+3vuRVXKEVJv4usEFyACeQxc9/KDIEM3hCQusKpXtPnhRKMfx3peA5KyPeDix5uBJ2u8Fv3jrxU+49Jlv9t9oL77zeECBcijPPoLDV22sGgHchX13pP+3DEg+/jLPxk4x5EwXNPzEjs5Hd9+hwULxKb/oHWKYyh4BrTtG9d8fWDgKw8FwwwWNk1roYbvO8/4kQv055R3WEjfk+V8KWRCZ/lUPtjO1EKy7LCi8lkB7EfeN/sP59iEnM5g2ACJjV1psmLLbMcD6ns90T2JcRsJtDDJ/a0gE/rmPqkwb+/Hj3pXLC/M43Ymxf2JHTJHiEmwManZs3KrXFraI2+TOvz2q5xVpyOxJBKlJjJ6cHvy/uArrPoeoPrmwaXVxt8+LDBzarBZt1jvdkBTwDQDxZdb9EPFkWhUFUahZaoa4260mCSwSefUh9DAmbv7t0qqbDUFV5UU9TyeKDtkTyedm77knMajHRzVEqNne9aq0cZUn2pOEh2M5czLPUCIW3SDlVe585fBLAya/zavoViCi/KM1wU5zjnJ7/bpD5VkbaaPBfWluiit3aN9/1HvOs/4uNwiVuzxuC/vafTfjHOoJRAUSlY49C1Ay7frSCVIGNxfnf8Ty5mkEpiuqiOJMBkSYIJVLzEmV7i5+o1OHjasK++u4jVvBkCA1yICCzAMw/HOHjgMJwAtc532LiGpFdcoxTlCJpSJ2kHVMzVFDM1TeboJNv6nirLDSVEMile4OfqFSIibswKt3YN85W8F45VeZwjI9A2MA6RxxkOJnDY4NDxHhvRoLBkeP7pOOexnsnpONalKJIUUx195trfEAGZ6eoQIyA4g+AcrbH0ZS01J0aZ3ffCO/l95Vj67P0kGEtgYdLz58chQjKBiSxwoqdY2xY3vsHHfkUeTEKhEhqTlAZXi2L0BHDR4+NgsbIttq4nA3JBBuRTWWIiS8xUhVqSj9ahjR1KqiLWcAaSxJ4/EB0IiEU1kxV6b3BrGnTeoBIkFSJfqvReZIUqsbPuU5IRiw+IONMneFVeoPUdNnaDtd0+6oBnAnW98wF3bYm5MB+7j9ORJV2K8pvIe4je7uCCo85vMMl3a7jzM0nrejSuxda3aFyDrWvR2AaVJADg3gbHyVstb/R1YhyReS2HCRaVqL6YSvjYYowlGU/EXM7wqjzHxpHPz61dY+uaJ3ndp6p9wCIJYRFCAIeHZQ6ccdjo0IcBDW9H6U+RGMp1Yj/R+jzBNDGVZ2qKyZ7U+0vSyW9R5OtWjd4vNjg06IADmz0ErnoMgQ61/7v9FQEBF8UZXhRnmKnZ2Ix5yrsyAuNhug8DVmnPnYGL9/1HXJkbrN32WewfpeCYlBpn0xo+BDT9gH9eOnTGwTiHUikUUkLww/1GR2+nYGGDQUC4c+gPkUDGxm+TV9wUEzmH5OrBVygHR8npDLdQc1yKm0fbQmxtgzf9O0RE/FS9hItuBLgKUUB/Z8CTjwG9c9gMQ2I7MdRKUVpw2odQIyWbRzz+jsmNfABY6jkuinP8XK2hucLabrG2m4MbvPu/T+NbfByuYCP5K18NtzjRi3GNnsg6rdFFSlOk893XqgDyuSTihx3XZLO3PvdhSPK6AY3raI12zfi9DwNKUWKuZiOZ5CHVdQbvP27w4cMaq3WHrreoKoWiWOD1ywVtwvcxsxhHf6mht3j79gZt0+PlywVevpijmhWw3qF1BsY71EJhqco7ksyJ0ljoEvLI98pxgCeGEXhSgqiYLtBGXEuJQgrUWqHS8qipduPLM0rIyVTz3vdY2c3BzzMe/GLAym7wW/cOQzAw0UBzhYWafTUKsI8eJhj0fsDH4Rpvuvd425Oh4ZW5wa1djcyO51SMkaF4UWl0zYC+NdisOiDGPandHs0vArNF9eCb8Xevj51kqRIlTvUJfqleAwml3tjnsXE4pMZeXIwIYED0dw7tLOx3XDPlf48VxQQmssZC0aJ+UZzhZXlBzy0jGEoo8X0BTwBSF5iSUE7VEj9Vr0amQONamIOh529beZxZZLvNX6K0ZqZS5/s7kg6SX4rR6LUWJRZqjoWa4bw4xavyxfi8EAwKEk9DYWbgjO5nGwKZiIcAkZoRJLm2ow+gDyGBVU/wVr5C7TOHYjLDzWOxM3Zm430rGEctCiz1BJ036LzBu/4WtSgwUyW8TObiosB5MR8/l95bfBzWWNsWH4cNZgmc4poRQymzlLiC4BwuHMYWySbqRfINy1KanPvFwMiTR1aYqQrv+1vc2gYr02CqKswkMVekEliqCWaqQnGA8SRJ9kpIJnFanOCVe4EhGLxnAoM3jwKehmBwa9ZoXYuVXeNDf4mJrPGiOMfL8gIvy3Ms1BxRxzEY4muzSnz0MN6gT7Hyu69297NtyEDbd+Nml5hB1JhaxjmWapGklH/OKs/S4gyIjuly4JBMwgZL3oj8aNkzdyrfHwwMczXDy/KCPF3A0fsBW3xfwBOA8XAeIsBS93gnxmboWX9nzs5GupkVlfeXCz3HiV7gVfkCL+MFmAYqYGQ5P5fKa82JnqNJhyz+ycHnPkWsAQYTDK7MNRjIp81Hj1pUqGQFiWyS/bTQUwadNna7S4vuP4577q1rYYI9eI59ipJCYFpo+GnEpuux6QZsempCC85RaYlCUeLdoVNa3nvYaOCCTU1Puo5p3QuwYUCIHgPrEeChuEYdpw8eIs4YClFgpqZYOArueez1vnENYvcea7uFjS41OUpM5WRkfX5P5UMk4MkMGLyHYAyVTB6agVjNFOxF92Fkj79jOONjavRSLfCiPEPr2zTXBWxdczArOVf+94M32LgtrodbvJHvsdRzvCwu8LK8wFlxgqWa015fcAAiyfC+ToUYYKMd9yKfW5+zB9zWbdEHA+OpgZTXZwCYq9koZX/oSbfrLT58WOP/+R8fYK2HkhxlqUY53WJegTG6RxEjVskDar3u0Q8W602HDx83ABjmswrlVMMEj9ZRsMxCl7ioppjsMZsE4yjE8XGbo+ws6LBPnW16g5SqEGKEjAEx4eBP1UnkCWRY6sV4MShOvkGH20nThdH4FswAfehRCI2Kl6OB774ZZPbdYclQcn+S3/997zrf79IgYkqpy9S9TNtrHaVrNa5LhoZv8aZ7j3XqBP+RAevOj4aPJpqZzfXUmnTOGVQhUU8KtNseQ2+xXXUIIaAoFHRBPgYZjbXWwft4+EB9ofbp4KUosFRz2NImIM+i8S02toFNXeaHovXfou6Yr8Y7f/GnVYkKCzXFXK2pQxnJ82Wp51jIGbzyKRmSjIpzPVc+yv44a66xUDO8Ki8QooeJFq3vwCzJZ0lC+3SeJceux4xzyQus1AYLNUM7jrNH55eYqymcnI1G6ZLJOzuTh4415xylkpiV5chyciEiRg/OAv23DyMDtswb4mcgH8mVpRZZ6z54i9YPaNyANgFFPgb0waL3BhpkZF+klKwQIzo/QNhk9O8FWk+pqFooVFInH0JilwzeYmUaOOlHpomNHmAYzRs5GMmWY0DjBqxMMyYIVULDx5Ao97QpIHm7QxcMGtej8QM6P6TEOoPe0xcZjZPUMQP1gueDcGb87MZFMJG0/TJ5oPW4tS0iCPytJSXrZcZXNqu+T+174SzUDC/L81Eu0bouxTD7UTZ3SO0kWEDre6z5FoopYkMnT8StbmmdVe1o+Ex7hx37aWdEnf7/k2uWlvYM59D/j98zuyhmqeNdyv6+WfgmbV43rsHG7r5vXTMmt/nofvdZlL4gb5M/mOP2r29ixxJ7Kopd4o7Hvgfi3d8EON5asJ/qNpU1LoqzUd7UhX5v024TA/37mLnj/mf26Vv+k19BQGClZljYNTZ2Cxtof2KCwTz59+WgFPkJsPst1mjFJaZyglN9gsZ1WNlNAgoOb4RmWfDGNqPshsKCKgAgD7qUXC1SU+0OO/Fee+795t1OXpplrC46NI7mgluzxm/dW/zavcOH/pL23G77RQb1zj9sP52Qjc/9FHtMzhiUFKiURNNzDNbhpukgOadQjyKzGB8qTdqxIhkYRGqqZBFeQECIBjZaFKFMzdyH36cMBHDM5ASLxHQpeQHJ5Hg2OrT6MMBZ8mbNqcSKSyzUHL3qMQ3TBASL8Qy3k7TugOP9z+TOT3vMUWB3pht/3p//x5/vzqc6sRkPBfmz0bgWAi4EwLnEIj8uPJubnBLARNY40ycwCYwcAgFGtEYffrYkTySyMWl9hy1voK3CylLarolpnUprNAX9kDojN4k+Ha/x/z8Ztt0Y3f3/fYntbo1MIRsIKYRlQO/JAD2vxRu7+76/Zuf99v5nIZhIMmS//8oHj8VgHFbrFu/e3UIqgYuzGU6WNc7PZjg/m+L8fDqCwzECV1cblKWCEAIfP66x3vQwg8WLixmMcQkToLk3WzFw7PaTeV/6FGEsR2tpZcaT4LQJH5KvR2cdBB8wLShquVISShwXPeOMYyJqnOsT2GBxa1coeJGMhv+8A/i5osPagBAj3nYfEGPEym2wSFTQWaLpl6JEKfRoOv1ndGgy8grjZtqM9PpEpw89et9jbbfYuC3WdpukQyvcmjX6QIfJL34W4ONktku4EnDRjdrap0zi4JyjKBWmiwp9Z9C3BjFSCtNkVmJxNoUQnEzSXMBsUaMo1ZMcQCWTmCnS0sa0LWeM4XK4SVTqNVx0D75GvqdywaF1/SgP6v2Aa3ODM32K8+IE5/p0NL+b88P1x9+yBBOYysk4grn7/HGoR8p8Xiz/6uNM81YPAGlzMODGrHCmlzgvTnGmT7HU8+QLNTvKgqIFx+mkgvMBt2WB1hh01sL5AA/AeurCnk1qvJxN8HI+w7wsnx3bySXfI+Mdbk2Dy2GNK7PBxnZY2w4RcU9SRpTkUz2j1Lfg8Ft3nRiG5PHSezo4n+oplmqCQqjEBiaDcRMcVHAYvMPAHTo3YGM71EKnOVzCRQ8b6MskENUEiz5YNG7A2nZJm08Rt723uB62uBo2uDZb3JgtbmwDDoaZpFS9tW0x+PuzPmPycPTBp/fjxvc/BIve03tZWWI91LJMANQhnz7DRFQ416fg4LDBovcDbKBNaeu7R4Vn0OfuEFkc5XeN71D3VfJNq1CKYkwB3Qeh9o2jdymTLH84yOy3mDesextYv3ewtckTI3tj2ASujGPqhx0Qlen73qAPfQo+eHijxI97DkpmvTLXuB5ukt8Q/e5DYljn1TCn8DxlVaLEiV6Cg4/eTpprmrfNBo1vE1jw/TSIHlIRNFdvHAGALjqShg6XOC9Oca5PcaKpeTCXU2jxbU2SFVOYySlelhfofI9Lcw2ZggU+PWDfpyLieK9zy/Br+wY2WFwOV5gnpvZU1ilYo4TmOqV6yj9dwyKypJXS2Ia9PXcXenR+QOc6rN02NXY3uLEr3JoVNm6LPrF7vlSC8TFBcR9IH8Iw7rmPXdlo2HpPCd4J8PAhJ4wbDNbB+8PvGzKRFyk1NwN+CoL5vWYRfeYREewI8uRsWB9ljVmSmc7UBGtXkerEH+7ZGWMY7TqvzS0442h8i4WaY6nmmKvZKLUuRDFeT3Qd353nd0DT3UZCBsWy70/2+vHRJ3++MAIR2Usngw6SC5zqE5zpE8zuseeWnGOiNE7LCib45FPF0DmHAUgAwq79cOztleYKSz0HY2wEnjpPoHPraI1+zP7apwTe1re4NNcw0eLG3I5S5OxdWqREcc32EsX3Apju+HfFuyBgGAGmkBjrNCY++JGMkNfm7DOZvQdHWd3YLNqT2fkheVJ6xCc6XwcfMBiHtjOYqwqzWYmfX59gsagwnZbQKjWSU99jPqvAOUNRSAyDxeXVBt1gYSz5cGfAXCScZDX0sD6QGX0CmyZSYVnUWOoKWhyPcXtU4Enw/EuQqfjGGIrmDRFd5VArhdNJhdxpPd5rc0xkTck4CHjbf6CIXsaBNCkcejvkNCETDEIXsLEbvO3e40V5joviHBfFKRZqhrmaI2KKyONoLvmlysg3GbvaxMDZ0ffyokd+Tqs7XjX58blT86ViaQKvZTV2iRSXieZHEdP+CTdxXDCUlcZ0XqFvDVbXDZmVSo7JrMTFqwWkFrDGwxqH2aJKwNPx34vkEjNJAKHiCoxRHH0hNFgHdL5D8CFBUn9tQMJFl6QaAxrf4drcQHcKF8U5fqpeoi17vKpeQHKJufq+gCeZgKciGWozlkyEhQbvODo/ED2exYPMT7/Hcgl4Mimi9treQjOF8+IUr6uXaMoOJlpwxjFT06NEdyshcFJXKKTEtNX4sGlgNjloguLZZ2WB00mF82mNZVVhXhbPhu2UywdPTCc34NY2+DCs8aG/ReOI+cQYMEnAE0DyudNiis4bXA0bXHZrmOCIOcSpAVBwhVM9xUJNUHBJHaa0Cc3gDXkHWLTeYGO7MWEuyiLR6PfBHoshKAJ7fI+VbQEGVJwMzRs34GrY4G1/gxuzxdp22NgWHGwEzTpv0N8TxBklhSHA8bsgmPEWhiv03mDreqxtO5oq1wcejBmAWtYk2ZAVej+gcS1634Mb8jYzD2BT5AoIsIlNsbJrtL7Dx+F6lCLLlPRWS/qqePZ+Ksj3KhmdZmkUyRlyN3uPtbzHXCaQjoClXczycMcjgsAg2vjSv/PYsTHSf+89Px64UtHvT3uIjdvgarjG2/49JsnkuuQFTLQwwYzsg7maPfjzvm9VycOoFhXAkvG5UHjTvYcNDn3oRznWX3mNDogj06v1HdZ2A80/YCaneF29xLZs0KckqUqU0PjGwBOXmKsZFFfYugazbkogrecID9hPZfbD7p6xuDYrLNUMF+U5XhTnOC2Wo4x8IiPAQUycP2j2ZqDAp+c1o6S1TY1d2m+v7Aa3ydx847bjfjsfJv9ozy2YQJHmLQKgiJWxceSB9DTAU2K4Og/n6YzDkPyXHOBSsJMLDwGeAM4kFGdw0UIyDcklfJR3mOaZvZFjSx5zqiP2ML3O4AfM5QRTOUUta8AhgWuH/S65GRBiwLW5ReNbvO8/YqkXWCqSJy/0DIsUQlSm+b7gejT2z35C+XfNbFW/Dyil7z41ZXKTYf9nk/yyiJlKz6a5xn9MSFI6u8eem4AnhdOqwuB9YgdG2DTGNoV6UYLh8fdWhdBYsgUmokaMZBKe/fhCDI+SxWd5Z0gsRBMsbs0akotRBl+KYrdGi2oEDdW4Nsu9UAcxMpqQztyfrs8+yejcJ42ffY9FG3YMpn0T8X1QcX+9vqNWOHKFEGGMJ+BpTsDTTz8tMakLSMkh5d15UMwZ6lpjOi1xebUF4wx9b2EthQ4ASAwnIgvdmg6XPY0n7WEZTgpKg5ypAjiix+BxpHbZZT8xniIA6wOGlKzgPGne18OATW9GmqASxzj20IeXE64WYY5l8nrKEbt90owfUhF0QED0CHE7spBMRj59T9RotcFMTVHynBimRhr5p8+XO6H5QjfBovXtqBclSi8tgrQgru/tVZWlASUvsFBznOolJrIiWjLjaPa0tE+5f6NEO2IzhRAhJUdZaygtUE0LVNMCQnAAFsEHME7c0N0kkX6fI0ycHIwmJZAR5kxO0OoZNm6LWqyhuCLZQjg8Pel7K7qeHVwk75NMS81SBuo2R0jGUXIyrc6mps+9GNjINnTRYSYnaNQMG9egFmsUXMFwk7pB34/k7iH16Ti3oM8nb3jyeItk5pnT7xRTD943ZvnR/hogGIMSHDplus/KAtOCvjhnaI3B4BytAyn2V/Ddc3zTYrmLLVAmACVT8Suh6XdkHJpLFAlc6pyBFnKUvzFQFO1MlVgo8mAKMeLWNjDeoRAKF+UclSgwlRWmqoRgHJ03uBzWmIgSvbepgRUxUyUuwhxTVWIqK0xkgRgjNrYl4FxNqPufPj/NBSqhk78Uw0yVKAQZyysmMBEFsaAUmYFrLin4I8kzKqGx1BPY4KCYQO936VMzRRKYqaT3UosCAQEr20IwjpIrhFgf9pEzBs12TN3z4hSNb8ektrxhpK6xe9BdHBHhEeET4+HukLPkKVOOG9osz/g98EQpkSSl+zPgyY0H3nFjO5qGG2TJ3dcBVf6Al8AYeOQja4V/Jb8rovJrcPBkqj1D48mAuxTkLeLg/xas5J1Ew6L3PQCGxtFhLh92eJLnhBjSvaIhvgGAz9NBUHIxMkiWao4YI/rECDh0vEI+zCUWT8M7NK6BiSQVbnyLtdpgreZjY7UUlKb2uT33Pgsx77dNsHe81DLwtAOg1vc+QGdGTCUqnOglzvRyTw7IAQZ0TxT+E2IYQzyM84iRfJ9CoJkxhDjaWQC7vfVza/bkYoxYVgIClSQj5vPiJPkJUcP8Id6sedboA50D19gmE+iWYu/dDGs1w1ROUaVUSc3VONfzJF2i59pnOmXQ6S4AlVkyn37Pa4ANbgTvalHiVC/vzeTNa7sSAj6pirJMyoVAJI894OPYYy2YgBB035/6JV6W5+h9P95/Jv2OLvqDz9vAjplE1/bvx1pzPYbo7K/RI/C0t0ZnAsjvgKc8x+Q1eo9xnJlM+6EeLjGYnsOpIURq4jpH4KJSApO6QJkUQ+SZmkDhGKGUhJQkv1SKPg/v6TrJKqRCCExVARcDOufQwxKAGQO8B2xi6R177T0a4ynfFJxzIIEPzofRcd96j3U/4P1mC+M95mWBeVmAH4m+xRmjhCuusVQLvC5fwAWHa3MLbx52I+QKMcLBIwaDld3Ag0zRMu03R9QrpsgsdS/5bh8pD3soKdF+96R2waDzfaLwET138PeckMDG+MmZnOBVeYF/1D9hpqa08Y0W14PExjXg5mkPdd4FNOseV+9XWN00YIzh5HwKXSpUdYEYAOMcumZAu+khlYAZHEKI4DwedbLMKHruorm9zlVO87HBIbAA9+3nla9a+brsfI/r4QY2WKImR+qaLJPJ6fcAPGVAhXy8yAMljOPMobiG4iT5zADb36XyOJO0cpUO7n48JJ/oJU70Akv18HG2IWDT9bhqOqz7Hp2xEJxjVhTkN6EVAUzJZPy265PRuMO8KnBSl1hWFUolUcqnCaC4TwkuUICSU0IRUXCFMz2DTXI3MkOuMFcE/JCpuyBAhxGjyESHHPyruUQlydep95bYR66D8Q6nxXQEfXJS3dZ12Nge77pblIIYTIpJMMbxS32OX+rz8fEMwMb19HzBoRIFFBcohRrZTdnPyQSXTMwrzFWdmLwONnh6PqlRiQKai5Q6y3CiJ/iPyQWWqoaPESvbwscAxQX+Y/ICDEAlC1RCI8SIretwmzyoprJ6lJybg2OhZvilek0JRKmpxJkgI2PfPkp297mKiLDRAp4AgMEbNLyFGoGYfSp/7vDHO+v7HTr/eDgJo8zijtwuuifvkO6XSGxfzhlmcopBE/BWywoTUaMS1ehHw0Gm3yV/WpkdsIvSNnvd5RhjSqZV0FwDwcAz/3eatkGqAGoirOwGERgPQT56dMUZlnqBE7WA+AayuxymIBkxBU9TerDkEtfDLQZvHnxdZyGMCw4dG3BtbkcGRJWSALXQoxR2lNqk5Lt8R41AcJbZpb3gjtVgxr12To28L7jBwUdZ1oma45fqFf5R/wTOBFy0I+NlJQ4PObpP+RDRW4dtP2CwFowBlVYEPuSEM06yo0MVJvTZZYmRSSbjDj46sPh7qd2O4XacG1QyYtO9Ll+Oe7mNpXSwx1ZExOANGNqRHX5r16P/k0pyyZ1P7p5nGLJ/284nLDcOdme7uyyY/HO+/kIMiZUjEZK89r5n0xiJeUyAIyUEN45CW4z3B4/zY6oSJS6KMwhQOAU1hyI2bjt6pR27fKT0ywCS5Xa+uwP03pHEj8l3WRoZ7wDRmQiyz2T6VA5PwTHPAXKiymNL3vEktTXWQUoOIXgidOwqhACf5Hne75hwGfgUjGGqCkQAE1UkZr2HCR7G0/ep0uOe8ph1XKndHaNTctrPk6DxnlIXIv2d4AzT4ngLZu4+FJwMpV+VL0ajr6zTfmgR1ZsOtytLvgOXe1TMT9PEMuqaTb0z4ro/Ee02qXlxjJ+l2t+nGEgvTLHXE7wqX+C/Tv8DCzUfOzshBlya63F8nqq892g2Pa4/rLFd95jMSpycz1BUGrpQiDHC9AQ8bdcddClhB5tQ2J2p2TEqM3n2aa/0mTLwBDwZToDUbqz+PhWBFIVsCVC9Mwm/QpHYc8+99qn0WdqS5aQ8pZcopuCYzxLov1VFUFLQtfFY2w1szJJdWmw1V1g+YpydD9RUWG+wHczIfpqWGmeTGqeTFPk8WDSDwVXT4uO2wcdtg5ezKX45mdMGORYQnOPpj7ufL8k4RJJKFELjRE/Hbk+WMhD1W4wG2jzRlKeyxItiMfpQsIhxXRCM412/QuNu8K/mEnNd42WxwItyiUKQN5PiAv9j+x7Xwxbvupu0CZaoZIGX5QL/qM9xqqfQ6fGNG/A/t+/xtrtGwwacF3NiWCUfp4s4H30nAkgWmGVl+xuvvG6J0aiTfq8TPcVElmiKHv9qr/Bre4XG9XhRLvDz5AwLXY++Umvb4n9s32NlW7gQcF4sRs+Rh5RgBDxVosRcTRMzk8AbSr0yj5Ldfals2mwO3nxiFpztgtNPjL5TpVUj3vmv8ee75rJ3N71fc72hgzI152ZyiogIzVXyeKLI6lxZqvxUqXb7FZKfUZY1+WSczhixlbVQ8NEn8/O/V0XQNbm229HnbH+N5oxjJqffRHSXDy48MTfO9Al+rl4hIsB4g1u7QnjE5T1KTH2ACRZrux0BJvHJIVPs7bmBHXMie7fkayqzKUZvnk8Yin8mqdsvnu6RUmgs9QI/V6/x32f/FRERm73Eq2IonmRv6UNAbx023QDrPaTgqLUiFoenL5ESziKdOO99dMwNWxtIEuyChYuUoknz4P4xlI3z2rEqB0246gWd3+wW7/jl0T7HLOnsfIdVvobGpM38nepzypXx5ztG4umn0ch6B3h82lzQe82UIYWW3KcCIlwMMJ7YKRszYD0MiZWyb1r+9FWKEi+KcyzVHFqkc10w4AOHj/5JgKeQ1mYbLLo9YHBf/pnDBu6OW8Tu49mNxDgq2ZNxXK/jZ8ftm1cGjRiFzjgXYIyHVqQo+5TDE0KEdR7GODjn0zyQn4v2p1NVoBQqgWwZmHXY2AFbO0AJgUqoe6cU37eOtrPIAFMGSzIQtR8fyJP8Qgl+VACE7W0OFSdD6ZyOM6S0mH2Dz4dcTHdpgL/f9OYLPS+EOR1o1xHdAU/Hupjz4psPjgs1x6vyAq+rF7gozjBT00THVtj6FiUv95Dgp6kYIpz1GDoLM1hUEw2e0NgYI6xxGHoyHW+bHpOuhHOP62buTxIuscjIgDeZOybjyFu7xq1Z49au0Pp2r+v81/d4+lJlmvAAgxuzgmQSMYaxkzlTEzqEJB+Ub1n74+yT/1qOIu88JWBtXDOO8Y1ZoXEtbLAI8Pieku2OXTT3GBgAN2YNxWizIJlIiYczSC7HkISDnjuEkcnUDAZ1oVFr6kTFCFhPfk+bYcCq7dEa8psrJbGsWmNxtaWNipYCOGJD4r41bl4Y+YYo4N6S9ogInZfSeHdzmteFnAonOB+TWBgwNjSQPEdVkveJMWlul9wymuSmw1T285NJ9qcYsa+OUYVQKISC4gLXpoEWEp3nO9NOJCZwOqxxUMJfIWSKdH7c62epr2ACL8rzlCjFUAgFzjhWdk0AVLCPYjPvVz5wpf/4S9X+5lxxiYIXcJJkjFmKNB7kx0388RLTdoywMEoyTDKTpoS9jgJU7JpMnW0zHsqe2fb/q1Zm4uU9Z8H1yKgsuMZUkjeMTDIT/sSNxVz7e+5SFFjqOfmlpBCbdUq7yg2/h1S+H330+FyeXJbX7QD+feAJdxiHxyhqNBDoVctq3HP/XL3Cq+oC58VpYoVqKC5xOUyejDGew5y0JEmskgJKcFgfECNZnOze90PuYWpC8PFq2z/kP/xZ71PkEVghqIihMLgyt7gyN2NYyuDNo8IGcrP/W6gccuOTge1YNfec3Ug5FNA5Cxs8BOeYaH3HomSuCxRCPjn4JJmATLK7Mz+gq3q46NO6TXshWp/N0djJuzM4APy9GLAAoKTAdFLg7HSKQktsmwH/+5+XmEwKFIVCWcg9qR0wDBb9YNG0A7bNgKKQOD+boppoBBbROZukomHXKIwRQ3DovEXjDHSUmEp/9I/6OCfJRAE03pPeGGQ4q6VAdCTFEIxjVmi8mE1xUleYFPpJ2DeCCczkZLzB2xwbjIjGtdjGZkxPOWZFUOxoBt5iDONhYURU4/HoqLn7rrnCVE7wunqJn6tX+Kl6iZfFBZktc40gKzIHs5M9w/WnLcZA3k0AnA0YejpoikQJ7DszJt6ZwcH7uKMAPmDGzAeynOh1a1a4savRI2ttN9i6Fp3v0PqeuocphcEGS8bTPwq973FjbmGDRSnK0Wh3ImtMRP3NgScAI215CGYc51uzHj0atq65O85prE0guvjfbrX6TA1hwI1dwUaHQmhUssJU1pjKCSby8HEOMWJwHo2x6KxDoSgVxoeA267Duh/QW4dmMNgOAwolcTGr8R9nJwQUO4/3my2k4JgW34rvdLz63Ja84AoLXeOVPyEjTjfgn/5yZEQJxtAHi1oW+MfkfC+dhebFm2GLlWmJVcwJ0PMx4LSYoRYac1VD8uOZP+bi4JjIAufFDJIJABFXwwa3phm9rnyio1+UC8xkhZmqjrK2Z++2pZoDNRlRT1MK28fhCjfp/u/98TdGf4uKEW3o4JMJskzG6YpLTOQEU1lDHMkKISKMqYgZXLq1q3F9zqye7pN5e5cW9Nf2YLxPueCwsVvESElilSgxkTUiQlqjJwcmSR6nNFdYqDkEE7CBzNG3rsXKrpN/6cOApz+rfGDPpvtjWylRELO05ljFwJO8T+FEL/Fz9Qq/VK/xqqRGbyGKUc2QA480V0/CspaCoy40TiYVjA/IPosxWgwRyeYkHSjZYSyYXaqdhuMaimtIrsZmx6fr2zFS7faLvGc0AIYTvcDL8hytbyGZxLW5wXW8hXmAafr3XiFEDM6hMQYBwLwoUcu7bJR5oTHVX69xR8lnFV4U59BcYyprTCR5MN2YW9yYFWxY46GhGD9qV2UpcXY2xb//2xn63uL6eour6y2qUqGuNOq62J2fI9B2A9rOoOssGGeYTkqcnk4xW5awIuB6aNF5i95ZmOBHrKL3DivbY216zFSBggucFjWKI24vj3KSzAd/40gbCABKcBRSjqkKJK0r8GI2wbIqR9f0Y1dOuKpEBcEkgU1uS+a6yYn/KYAnYHdrEU2Y3Vltjn/bpeQuXqTkkxf4P2b/Bb9Ur1GJErWoRi8KySWmcoKSF08PPJHD2Yi8Oucx9BYhRAjBISXHcAd4Sibj7DESO/LTsMGhdZRW9KZ/i3f9R1wNN7gcrtH6fuye7acSPCT6969anR9gkuyuTmDETE5GI1Og+qbvb8f4cOhcj8vhGm/6d3jXf8BlGufGtXcTKBKNfseW+lGDJxBubbcoeUGmvnKGgEiHThxmDB1ihHEerTHorMPUE8DtQkDbW7SGfAh669Bbh5+Xc5xPJ/iv56d4v97in9e3+LDeYloUOJ8+zSHlW1fBJZZqAgC4MVvcDg1uTEPzXuraL3SNharxUpYj+8qHgBuzxbXZonF9YqUwArJUhbNiiqWaYKHrBAwdtzhjmMgCZ3oGwThuTIOrYYPOD9QRT0bkc1XjophjoSeYy+MATwCt50u9wFRNsNTJVDjFqUcAjW8x+AE/NraHV5Zab12D1rVjmEQpSkQQu6Y80iWV2XEk617jTf8eb7p3uByucWlucGNuP0kP2kmhfszcVC7ZRjQptnyaouclJx+ySlQ4ZvLQfUtzjYWifbeLnoyb7RZIDPQG7ZON3z4Lgn0CMh37NTnjUFyhEiVO1AL/qH/Cf5/9V5zpE1SCzM4Dwvi4iajTvun40JPkHJNCIYQKJqXH+kBeuhEY5XYxScQPKQKeyA/ORwpMkkzC5zTPT2TGO8+745znODg0L6CYQkDAS9/BBtoXuOgp5OkJpNbPvXwCBbbWoJIKC13gp9kMaq85IBiH/MoembWooEuNs+IEU0my7SKFcgzBYGXXiE8Cv/69qigUzk+n8D7g199u8M9/XeGf/7qC1hKzaYnptLwDPG2bHtvtgME4/Pu/neHf/3GG1z8tUSwUnIi4GlpsTI+17dE7lyTIkfxI05+fl1OcFjXckRs/xzMXB3VnFeeolUKsIqTgKJREIQ0mhcas1KiVQiGfjjkx+hMAmMoa58UpOt+PiwFjDJucThceboD4Z/VUz5ulMAUnevNSzfGiOMPP1StcFKejZEYyoltGLsEiQ8kLFEKj5JRidUwK8n4JwVFPC5xczCCVGKWWzjoEz+AsyS/LSoOfzzA/maCs9Mh4um/FGMfUiCEYbOwWG7fFtbnFu/4j3vcfcDlc4ybJ64bk8fVn45JpxFkuOcaq7skn6RF3acfHqU8cQvZ8Q3a+IGH8vtug+9Ej7DGVKcg2GZp+GK5QCjoE17LGTO42MV8rHYUMwckw3KRxXtsGt3aFd/0HvOs/4nK4SuO8GqOL7z/OeYz3/SPECAg8/Th/6hUQ7xghBuxiZo8V2ZrHGdFh7Tb4OFyNHi+VKLGIh49zTNfrvqeN9RHbweCm7dAai8FRAs/JpAIDUGsFKTgtdikB1T/GGOQb1Z1u7xc+LskFapnYXIn4mjv0ee1cqBpLPcFC7YA/F3b+JIqJMbmEGFQTLBPQUz4RmzW/1kwRcxZpjLWX6d5ASsCrsVQTzFR6L4+4Vz695hSTUJDgYDDapkQWPhpm39hbdMkc2Cbp3VM1l55Lsb25i0JOinFtJ8nRlz9/HwNsSvGJCWyuZUXyJMSUTOT2TIN3r3lIZUN1Fx3F16c1Oq/P7/qPI/tpbbf3ntfy/XJn3gZ9FpmRkefth7zvP667HiGId+ft/XX6zvqMOM7dj3nlnLS8dQ2uhhtM5ASSCShGrKMYd3vrr7VGZ4mmAjCX01EaqxNgERGPLrv5XD3FnpvsOyjkgeR1Cyw1yetely9xpk9HO4Ls66o4fSaFKFCk5L1snP/YPdrujbHkpcghBaAkxvk4W5os6hKlkunhh9mLx9ycRTIlTo2QfA0LJqB4AcU1ajGF4vpo1xtjjOS+KaV7qeZwJa2DPni4YHFr12NK6GOCLL6vSvvESGljrbNYDQMU3/lSFTIFtIinVSfsj3VOIyxAwV4u+c/l9angmixPfD+m4x71XnimReuSGM/dpSjGILKH7NW0kpjNKhp/49H3Bm1HnqqFlpDy7q6rrjSEoDP4xfkMLy7meHExAys5UHJ4HjAIicJLRJF2DAzQe8z5idQohHyeHk8M/3/2/qtLjiTNEgSvUGVGnYFERGZWZVVX98yc6dkzu///eZ9mzuzOdndVZVZGBphTo0qF7cMnqmYOwAFzhyNAIr48ngg43M1MVVRFRe53yS7mMVUKgnOkSmKUaHLf7ywSKTBOkl8Vje0psQxsD4WVuOY3WJo1rLHf1AKVgSERCUYyj6kPZ3ianuFpeorj5AgTOaaLOi77+8UpA9GhU54ikxlSm6Lz3ScvhN5XUglM5gWCDyjGKcpNje2mgeksnMUQ8zidF0gyhfnpGKNJBn5P9puHR+taVK7G2mzwprkcQIg+FpfkdZRUcuiCtl/UJlwNCwfNFRKuobnaM7TkYHsGd49Ru8Xr7cXsvvGljQasFAHaDT4nlMSAR5vMS1vhsr0GA5CKBHM9Q9A+mlT+enz+ftFa2RpbW+J1c4Hz5hIX7TXWUUq5MeXgJ9H/zoeK7g0ePXI0EqGR8GQYY831W0kZbK+r9zjHFPY3LLfGeT+el+an1u0W7T3Y+lj3beVqXLU36BkOcz0lecI9xnnYCHI2PFC9D+isRdV1WNUNqrZDG6XY24aYUZ2jGGAXAlkcPaIU+WsrwQRSrsAlg2QcuUxwpMmfpTd+3U+464s8QyTGMkPnbVwcsOjNRT+fCAXNxaMvDgAaWx2ll4IJaCYxUfmtz6L43mfhlDT1OTa9ghFzl0UpRhFjzK/am8icucE2ph95137XC1vydtTR54dkVsT0TikJ8YPAkxvm1IRrTNUEiqkodasfbU1kgx0k7Rft1dAoWHU0b6/smjYjsQF4MOjUs70HsI2uO831kCosGI8eNezRANmdSfz+vN0D+fsJhjYm9Zkhsdh6C4vHW292cfMt6zdQjAzjjT+F5hq/7hP6duUiw1lyDM0VMpHFZ6nA0qyxMuvPCjx9jiK/oRQjWeBIz/A0O8Oz9AxnyQmOkyPkIo2gUwzGARuMqpPIjspFhoa18Rn+OHPSfsIZY4wAByWRJQrjLEE7sihSjeIBfonkrWVhQgfjWzjY/h/i9w1SniHhKSZqjkwUSEX2Wa46ySXGchTXY9T4EEzgor3CdbvAdbdACOYTW3HfRvXrLMk5OudwVVXYdO1wbjhjOEozHOc50uzL2GKkIsFczYgtyxNM1AinyfHwfL7pljG5vf3u5dOKSSRcI482FiNZoBAZEq4hHsBMlZKjKDSEIBA4TRWOj8YwhuxqXJxb+rtQSA4pOJQSOD4e4eRojOksA5MMUAyOBWghkAkJ4z0k55CMwwSHjWmx6VoUSmOmM8hHbmo+ztXJSEqnJQfnCll8WRuTF1pjKV47TX7VqGzNFY70DBM5JkpyXJAxsEhbLoFvCHgC6MaeqDHOkmP8If8B/1D8Ac+zJ9Bx0yzYbWO5fQPyVCTIRYZUECW48+azAE/TeY4s18jHKS5fLdHUBm1t4KyDcx46UZgeFTh5OsVomiEfpYMn1KEVQhiYTpftDf5WvsBfy59x3lzFB3wXmSL3YwJxxiLVV5NvQvQUoa8UYjDaFgOi/VibrKFbGnYRtb2nkY3JfJ3vYIJB61qUroawNT3wPeCYf7R9e+VqXLbXaFyLuZ7jx6yGRwAPuFdCymNU5wy2tsRVu8Dfq5f46/ZnvKrPB5NaMomnLvNhh89iV43ui1zkg3dMLmmse7+THeONP+IGJo7xrXEOQ4xrn/LUH19pK1SuBiyNs2fukxKD9qu2Da5wg9JVmKspnmdP98b5QLYA20twi/dxn2RatgbrusG27QYPwG3bou4MjHW3vCi+X9gpJuZFw+5CpjiKbLb96pNZ9wGkEAImKnsnBa1ndOyMyj/PPclAZtSSC2RBY6Kyd+TJv9ZnkUxgrAoUMsNUTTBXMzy1Z7hoL/Fz+WKQTnvr0fru+72YAHAQaH5rURtlDoqrD46AjaErpauQiRQzNcFETXDdLeBaB+tqAJ/OIDHeoHQVlt0aL+s3+Ov2Z/yl/PkWkL5j8B72Xj2QpJhEJtI4b+co4tzdM756MKBnRD1W9c06v8dKdcHBDM9oMzyje9CNWYYWDN6HR1tvdt5g2a3Q+haaazxJT6khEcJbqYu/bmUyjQ3fOVKeDoAMZzzKbjZf5HM9tASLRuJ6iqfZGf6h+AP+sfgDZmpKTSqhIfYCe3p/JAGSIKa9D5ftgwseyWg59NI6Dy0FEiUwzhJwzgbmMWfs3g1d4O1Uuw4+XrPEuDPofBMbdimm6iiCTo/r89SXYhITNcJI5kh4AoGYUswlXHBY2w01lqOv13ddkc0mOENpHTZdi8Y6MAbI6P3YjSdIpMRxln+RGYAIHhozjDGRY5wmx1inG/xcvYAoyQOOgZoS7wvp+p6KUi/T4fk8ivvJPtHwvqWUIEVRplEUCU6OR/hDY1CWLTZbktX11vWcAaNRGiV4O/NxrWXfeYcLAZmUKCThAWkMh3EhYGs6bE0LwTmmOn10wtCjwaIhAD5g2Dj3i1MlBCFpnDyfHjIRPrRY7IxJITAKBU6SI3g4KC4H2tvWloTA+jZu+txnkaDdtzj4EBHbf9ZMpDhO5jjWRzhJjvAse4IjPUMh87142fefX8HomCdyhFKWZMTNmkefqzljkEqCcY6R9+jaAs57FKMUznl455GPU8xOxpjMcqS5htKHdch7eZ3xBrVrcN5c4by5wOvmAq+bc9x0S2yjUeoh6YHUzSdPizR2T/s/e2PtHqhLOU2o+xK8/nyzR0oKfLubuqPsuyHJqme8dN6gcQ0a3w4dhN1/0/db1w3n676bCOstGrRgYNjYLdaGvhKuY7LU50lrAXbyOhNllBftFc6bS7xpLvCqPsd1t4hJle7gcVYReN0f41QkwxjnMr/1b7cleD3j6XOO8y7BhyQqBsZTd7Ef3zpSy/fHmOjmFDFrvL03y8MGh8YRXX03zpuBCaYPeEAqzjFJEzydjlG2HVIlIQWxXk9GObTgaKxF5xyMczgqMhjn8HK5wqZtITjDcZFjlGjoRzIz/tpq35RVMOBgL5YvRV3o335fZvoFPsvbMkYBMUhaoEI0VCe2oGAS826GtSXD6to1A+OkD5E4lP36pauXd+8bfismow+TRiaSwQD8WM/xLDvFVE2QixSayw/6JXIwCC6ih0ogvy5s0EQfxEFm+4AB35+7rrtFnLcv8ap+g8v2GmuzHRhBH5uresZ2OkiW6DmdcVoL5TJDJsjItp+3FZfYl+D1jNXHuXhvz9dhmLd3LNU+xc1EtlPjGtTx2dzeek43g3G6ifHu9ylK+OrgbcDW7OZtwUjaQcynX784OBTnkJCYqjHO0lMAPQhD47Y7Dx1csLD+65DdiL37rV9zj+UorrnneJKe4ElygqkaI48+dn2z4H2luEIuUkzUGB4+xsA/TvW+inVn4LxHqiSMdpAxk7L3TH3YNdAH/XBIJqF5CkjaQyivoDzJ6xKeQXENwT6vdUo/5+ciw1xP0W9aevuUjdkOUq6eFW6+WmZddMOKQUr3mZkE40iEHMzDWyGRCErG8z7ADQnyv+7zbf850cs/ASCXIY6RRBcMyLIjuxUE1A6qjW5oun4L0skBYI73SJ8I3afIJwNxocBYFXiWnuFYH6EQEUB9gB8nY4zYTvETCM6RaAWtJBItkaUaQ2YiA4o8QZFr5LmO/soEXA0VGVI+Nn9YZK/z2Lzo05YJ0/nkU3arHg94iuwM4xysJwlFrzlNpIQWAlL0IrBfr/pFcy8jUVwiFzkmaoQjPcN1t8BNt8RNt6QUFd/CuS8PPEkuaLHFNY70HEfJDEd6Rv+tZ5jrKSZqhEIW4BAflXyJmIIyViNs7Ba1a8HB8OhHykDgIuNIUo3Z0Qg6UbDGwXtarGktkRUJskJDKnn7ZvhABYRBXrc0a7ysX+Pn6gVe1edYmw1KW8EGd5BheN+dz2U2nNM+HneqxlFmR1IGGaPKBZMDI2ro7D+y1A6DBKv/TuyuBo/eN8IPXVZatHW+i8BEE32uFrhul1iZNUpXwT/A84QmHQPOGMqYULPolhirETgroD5TTHBfnTdkUmq3eFW/wc/VS7yoX2Nl1hF0sgd1ynt6ciaS2+Osaayz6H2meQLFadEp4zjvSyk//zjHbvp7fJ3sPtjo28EQ+KZd4LpbRllpCR+qe9OXfTRr98GjtBXWZoObbomxLMAZOygOWgmBo4KYMGXXkbGp99BCYJwm+Gk+JV+ZaHjqo0zgr9cLSE4P0KeTEWZZNnhS/F6/14eKMw7NFJhgYBpD+t3KbLC2JLVedvFPsx5Yg87uuvdfa/UNsx78zUWGQlC66FiNMJajgeFUiBwjVWAsC4zlaPCQ+PBaQEQJQAoXXEx/XUcAxH4SY80Gi9LWqFyFNw0x0f5evcCiowQ768073lF3nYO+YTBVk7jmmWGqxpiqydA5TrgePHhIZhfXQmwvCP7RGEA7iXT8G7E045zdm6H34SX9Rsp6G+dtApyuuwVu2kVslFUoUcHec83ZNyqCp+TmjdnixqwguMAYo/h8/jKodb/mzmSGUxwNIOlUT3Cs58N6e9GtCIBC88VTyhgYSWNEgkLs1oTHyTyuu2eY6Um8x9Jbfp931c4XagLjDSr+WLAT4Pwu0MM4ShDXUkAJD86jJEuQ1Ebek5HPAHAISKYAToBTwlOkokPnW3S+jX/PwB+pGXdISS6jn5YgUE+S1Lq/l266JTa2pIAZbw/mv3+J6q1Q7qOWEJwhkxITnSARMu4LAmpL4S2VMQQcsF97l/3+6kFwzjiepKfIRYbT9HiwQun/XHZrbOx2YIj68PhKnMcuwcRgy5H3CeAiG57PEzlCHhP+CpljLOn7hcyH5sinFOckvWOcIWcaSnJk2U5WywAoLaGVgJQCnL97rQUEGO9RWwMXAlkmoDcYt9iYFpJzZFI9vjLqMV6kl404H2CdR+ssWmtpcSgEUkXg05e8GRKuobTCTE0w1zMcmRlOkzVeNxdIqte00Q7R/wDsi1/4kkmkXKOQBc7SY/yYPccP2VPM90Cn3nfmkGUieYyQTK+PL+7NYh+7GCdzQJFpJKnC5Ki4/T6sR/zZBzuzb1fv97OxW1y3C7ys3+Av25/xqn5zy8Tzo59vkIZw5CLDiZ7jx/w5nqSneJKc4Cw9GRayt6WL7zvTn+OqfvcYwlv/NSx94zXbx1DfdEv8Ur2CjF0oD0+G2/ftqPapfw474MmsIoD5+SPvW9+RgWq3xKvmHH8tf8bP5Ytd2tEBHVKGnXQyEymO9Rw/5s/wND3FWXqCJwl5YvTSyd3ofrlx3n33rd5VCHBxLCtbY2XW+KV6BV29BAMBSH0H/T61MxoneeUqAk8MDOmB46ykwDzPkGuNsu2wrBus6hpK0PfneQbOGPk5eY9XqzV+vl7i55sljoscz6ZjPJ2OMcvSzxo88Xt9P9WDEhJEZ5+qCUIWUMZ7Y2XWuGiv8Lq5gKgFNVmCQ8Par4LR/LEi1gU9//uGyJGe4TQ5jiEik2Gxq6O0jrGdt+OHihbNGpnIsI0btcrVxKiKbI+HCiZtsENj6Ly5xM/VC/zr5q/k6QF3cDe7bxj0wNOz7Amep0/wJM7dY1nEJoEYjvvrmLd3/7X/jG48MTJq2+CX+hV+Ea+Gn+58d28mzL7ReO1qbOwWi26JNFoujELxRdmSDEAeTe+P9RxTNcGxmWOZnOBF/RqSSRhP9yE9s74sQ6WfTzKRYKrGeJad4aeM1oT9mjsX6bBuPKQUlyhEjpmaoIypkY9VPgS01qJsDSR3A/CkpYQU1MwJEYS9PzYUTcshwTkHWAIGDPI747sIRmVgnzsle68Uk5ARdB9H4sBz9wRvmku8rF7TfoixOAdVYOHrbDCwvf/dpwTjSKXCWHuM0AdsMGy6FjdNDR8CFKfvfQ0lI4OQ2D8ZzpIT2GDp+dytcWOWeF1fIOGX4C1HADWcDQ7zav2SJaJ9TS5TTOR4CPo6SY6HZ3Rv0ZLJ9HYT+xEm5p79JAStv5Gpd1hJfcPlrsshhADj3QA8ZUIRjhM8GmuwNmRcP1Ep/CNTnh7HXJz15rIcnDPYzqNszdDZ7pxDrhRSpUiG8SvdGG8jfENSQtAYywK9dEYygZHMsTYbbGyJjdnC7EldTJTg9cwA12/K9xKm9k2hb1EP99gSvTSrN7/cUenFkESnon65EBEtFXm8kI9xnBwNcZX3fYhprjDTUzz3BgknAO5JevLRjSoHwz+O/ogjPdv5JXxg/G6dc9abgT68dkkxPhpqrvCyfoOX1RtctFfY2nIwrDy0i5rLLHZOxzhLTvAkPcXT9AxzTYklucgGX59PRaZ/jXKBDCb7z+qCiylaGdI6QQjA1pbDtXyfCZ3AvhYbW2LVrZGLFFM/+SzHMXSLgx8it1/Wb/CmuaQI3XuOcyYSTCKD7TQ5wtP0DE/SUxwlc8zjxk0xOUgyfq0UoIdWz2bq05tMsAQEygxJnQBgxFx4oLyydR1KV2LZrZCJFMaPD/vFEI13Q4D1Hq2hBTFnlEDWG6D6EOA9MZ9GaYI/HM0wy1Icj3LMshS5Vreigd8uxSXO0hP8p/GfMVbjW3LF+9Tz9Al+yJ5irEbIRAL1GaUCv9fnqXcSy+IGKBMeHsWwCdFcYyxHWJsttnaLTXxemOihZiNrtA9t6GVTfg/g3qVMDhyXt/oo+6zI+J3e8wo7P7k+GbV/roi3/uzXAL0fYybS6GNUoBDEduoZP73nSW+ofb+Td/uvvg+viGfTBgkX+ij2j8+Ju7RVj60tcdFe0TO6foNF9CE6ROLYnzvFJSZqjKkc40jP8CSjAJXT5BgzNcE4mqjzvSS7r71o/0/yxjN/AoD8Ol/V5xBMIIA8sUy8Du9TNrjYNFiTl4gqDpoT6XruyJw59MBPf307hLiu4CwDZxnYLXn9+8/5/ljs7k3yfvHwEIzDI0BzjYkaYxvX26Wr3lpv28H64r334q37cfdew59xnd3L5PvkQ854vM/Ebr0d2YVFZChM1Zg2kPoYcz3FSBZIBTHf71OpSHGUzOGCI2Z9MsPz7MlHf28sR/gpf46RLO70KGMM0b6Erp3OOmzqFlKYgfE0ShOwlEHL+69he8dMD4/gd/sczgSSwev0w15yj137rHPNFYLMwBmH0yQPTkWCE3M0MGk6Z9AFE2XWcQ8XA1uc39k0DJ6bb11Tu2uL/r+XyMVomlvhBT1Dfj8Be9+uYV/GSQ0DapY8S8+Qy+yg4/choHUWpTEw3qFnc9bWorVuuOND/Nn+qvlS8+Pbz2jBABE4CpEDGnSeQBLKIz3DxpbY2hK1rYdxG+aCvTHrn9N903Q/7bsftbfnv9vP6D25I3bBQeI9z2cOAcH5rfFTMVU+E8ng4TaKsrqpHGOqJ5io8V5g0f0N/t9XXWfRtAZtYyElR5IqpImK9kV3j3EIgX6vtbDWI0kkkkSCCQq6SYRE4yzWpkFpO1jvUdsOinFkQkFxcS+CyCH1aCvu3m1fMA7rPaqOkotqY7BpWozTBPM8gxL8V022e1/1EcTU+aOknCfpKbaGLvytLVG6KlLG65j20qCJcc2dp4eiQy+HccMkjb3oUY5ersP3tKBiAJc0U0MySyrSwSCzN7QmKj35z+zMMzXUPR+AAGns53o6GK7/kNExfWyRw8BwnMxxoo9id/HxJEeHVi83an2Hm3aJX6rX+Fv5dyy6FWpXH7TI6juoHBxjOcKP2TP8lD/HSXJEDDg9i14R6Rc7zodWL81ggh5EgnGMZYGRKMDB0XkDFiVzfTz7oRVCQOcNtrbC0qwx1WPYe7JqDq3eSN14g0W3wsvqNf5S/oxFt0Jlq4M/d/8wKWSB59kT/JQ/x1lyPIwz+XalA+j0zY0zZ2CSruW++8chBlCxtA+TV5qwN85qfDB7KiDAOY/WWtSdQdl12LQtnPPYth2utxUYYwNElCmFaZbi+XSCXCvkWiHTClpwqA/IbjVXeJaeQTGJPxU/YV+yeJ8aqxFmijpUiqt7byh+r6+3BBPIhme7wlhSqs7gteNaVHvP9v653rgGbfTl6XwXF7y0wN+Pf+43J/v8Fj5scm8nqQ2bEPDozaSGP3dfekhNzWJ3NONpTNrU8d93P5NE75neRPtBSYb7t8teJ9MHDwsCQO4Tdx3gB/BuY7Z401zir9ufcdleY2XWBGId9IzmUd6rcZoc46fsOZ5nT+K8PcVYjpFFv6fB5+sbKboe6dl8nMyHpFjF1NBU69ec9waevEXtGqzMBlM1Qee6A+fEgBA6eL+FDxXQQzrBIYQOAS0AASlOBvb3Q2lUiisUyKEYXfczNcGz9Am2djusuStbo9xbb9e9D5Y3MMEMPpdD87dn6wJ7G8rdOm8Ac7mAZmpYd2ci3a2531lj3/4zEyndaw9IocpFhlNNyXenyTEq16B2H+e2JVzjODnCVI2HjfDb1zpnBChlWqGzFsY5rGu38w5iZDKupcAID0u2C8HBBRu/XGSFaSiWQHIJji93D1LAgAIXHExT2vdcz1DaavcV76fSVjT/e7qe2ugv1id732o2gK6tsDcv7kCKnY+ugIDgtwGl/etsf27v/c3e9hXtkxILkR90zDbKopZtg8baAXRxPuwBMNgjQXxxi8h3ioHmd8YYFKPUx7meDfd644kVWjpi4fb2N7Vr0EY/UwqmsLB7QP3+GBJR4fZ7DgD0EODCBwKI2AOhNZd7z+nd+CV7HnW9pyBJvZNbP58KSvNLRDKEEz1WdcZhtaqxXFZIM4X5rECiPz4nhxBQ1warVYW6MZhOMsymOZKMQKVMahjvsexqLNsaLnjkUqOQGiNFss7HFm8+DuMJ9EANAhCcgKeyM1g3LWRLTKjaGEjOMUkSJF94nS+YQMYEMk40uZDQVdp7p2xNiWX0hliaNUnTLMnTmsHgtxu6MgwMFuQt1LN8BoZTvLgVp66KFmoPLU2okylHGMnRQNcjWu/O3Bp4mNHnftENNMVcTR9EYfySi7zeh6ZxLa67JV5Ur/DX8u+UInMPEITFrvNEFfghe4b/afKfBnP23qD9WywCJHa01rEcIQAYyQKdN5Et1MF6MpS/rw9QF2VvK7NGZY8/H/AEPyS6LboVXtRv8O/bvw3dqkOqv+8E4xjJHM+zJ/gv43/CaXqCkaBx/hZYbHfV/jiPJC1YpmqCzlts7DYahTs0/v7yyt5Xa2nWOHFHMP5A4CkynTrrUBuDsu2waSi5rv/3IQmRMfxhPsXz2QT/dHoEwQ9/pCmm8Cx9gqfp2b2O6/31LW1bf69Dq+8up/2zHQCZj7sBHBm8JQx5S2xMia3donI1SlujdvXwjBesi0wMBucd2LDh3b1n/1x5h8G0x2IiU+z01uI1Eymy2P3OZY6JHGGixhjLIm6SFeTeXPWYV+w+S5vtfa83yD4ktGF4rdD/nsHabvGmucBfy5+xNtvhtQ6pfkOQRODpn0Z/wj8UP6GIflbJI3WOv0RRUi4HQGEmx3o+sOxKV2NttsQudh3ae762DQ6VJeBpEw179zfOH6oQWriwgfMrIDjiuQQDH2r4UIExBcYEBB8DOGyD/L5STEIJiVyQ51F//fWg08b2a+4VlmYz2EGUthxCNDrWDfcwCw4O+6wUFlkLO7BXC3V74x83/70Py1jGBoSekmF4XHP319mn3m/9PX6MIzzE0+JD788Zh5ICqZYks+8sGmNvSWIk5xilD7lnIgNo8JfcyesUT6B58lkNxQ+p/fspEymOMEMANUlb36F1bfQlpWuK5vnt4AHVy4t7Jcs+qwaBwTM/gBi3mwliMMxWLBII9kCKVKTIIqjZy6wIZMoH5mq/30hFcq/GpwselbFYtQ22XQfjHDrvIRmDFgJaiHfAp187gfqQ0lxBQw2AW88669f5tWtoLujWWNtNHLftMGYERjU0V/p2IIIAdM/QuDkMXDXG9lhMAvusNLJUUdBMDQymLEqE6c9sCLIYyQJTNcZEjZH23oK3EmQ/77nuOovVusab8xXG4xSJlphNP86WCwGo6w43ixLrTUPexrlGmkfgSShUvMOqbfDX9TVcCPjjeI55kmGkNBLxwAbXB+pxPJ6AaB5LizvBOAqtd0aM0TG9txS6hSbvHZDzHjYi0JuuxaprsOoa9JM2YwxHSY6jJMdUp0OkrfXkK9U46vhnQiGXdyckvU097C+XPv6w37wmQmOkClR2NnRgeoq+CZbo6T3tb6AC7yPkOyPq3SJUDBes5nLovGQipVjgyHhKeEKI/idoqF3oO5FERZWcFsOPGS/8a1TvGXHdLnDTLQZato9G4odUEqndUzXGD9kznCZHUWpDssVvQWp1V+1/7l7qyQBooTHVEzzNzohJFCw2dgN7jzUQGdDZCMpWUTbxeTxSatdg2dGG8Kq9wdaWMQGJZK2HFHmCjDGRI/yQP8NZcoJJXFQqrgYJzrdY7xtnANCcEoSepqfEVoDDxpa4r2+GHca5B7AOA56M81jWDc7XGyyrZmgy5FoPyS0uUPSz9X7Y7PYS7UPrHXnV7/V7vVXvPtvp/wMAyQEWGIoobVBcYSRzzFSfiNTFxWyfBmqHBLb+Ob9P6d8XYfRynl34xG2pRZ94c7sTrnbpkVzHjW86yOd6tsNjlwsOnTeofQPBBCZxMd1X/71DJQKdNwOQd9FcYW02aB2lFB3KmuJgGMsCEzXGiT7C0/QUcz2ltZDQ34yk7q66/dnp2uEQGMkCp8kRKlsBjIzCS1fd67Up4a5FaUvUro4Ng0Mf8gzkyCkjiOPps7EEjEkwloCzHOwTtwrvW3MHhOiTksX7RcTk5TEqTewg8i3s5VLvk9ncfp70rLk+FZoYTxI6AgUDOBC/eiAgFym00I+6Pt49r3b//1jFI7NdCYFca6RKEQAcg52s8x+Vrt9d/XwmwAN547W+AdD7PLXQPIWOINSXeB6/by7oG7AhggE+ePCYijl1E9S6iUmn7cCe6b1hXfC39nG9fKt/3V463bNa+8bC7QaDGOZ2xdQwryd9cnZkPPWBCH0D9NDzxxlDIgQKpYns4Okzc0aSKck5UikhOd956D7eKX+UumvcQggDi9XzhMJtQH6yEznaG7cuAosdWmfQuQ5mL/UbjBLZePQ36mt4Pu/Lb99iPL3LSI5M4ziOA9uJJ8P4/Zr7xq6zWG9qnF+uYazDbJYf5L3kQ0BZtbi63uLyegMnAnwWUEqDxlm03mLdNWicoUZwCOicxaprYuASRy7148nj8FhSu0CgkbEO1jlC2hMNwdgQoS32pEt3UQBd8OjiiXhTb/D37QJ/3y6BiN4KxvDP01PwKcNUp7SZ8Q6tp5O0amu4EHCSFlCc3zuamzqlOk4gCoUvbmnOe7DDDSBTGP7caYUxdPZJebnTlu4u/P6C30UxDoBUfDj2C9ZPqZ7CTXHJ5HkjBP/6+JcfqICAytW4am/wqn6D624R6ej2oPS6vhKhcazneJ49wY/5M5wkx3sJJd8uA+ZDpZnCTI3xLD1D5zts7AbnD1hU9cBTaUu0rv1scad1TPx5XZ/jqru5lVJ4aEKJ5gpzNcXz7EkEGI8xUSTR+NbkGYeWZAoTNcLT9DTKIktcsKt7v44NFk1kfd4HYDTOY1XXeLlcY9O0UEJACYFUsaiPZ2idRdVZ2K73i/i9fq9fr/a9HNLoUZKJFDaMB+bsDmDaayaFnbzO9+4R73HxfNs3Yn+zwqK/zG3/j133dQCnohSo3/x+rrmKgKcOtasxEgVGshiY1QDiZi09KNESQPReXON1fY7zCDx13hwssQMAxkgC/yw9ww/ZUzxNzzBTU2Qio7S6b6xZdkgxMBQiw0lyNDxjr9vFvV+HgIEOpa1Q2wYmmHvMrxwMEoxJAH7wdQIycCajv1MRgafHvx4lV0gZG1iBEz+65fW0L6Pp0wP3/Z2Ge7E30sVbioNh3b3z3elZiLvNptxtJL+RtSBjDIKz4Vnbm4sb69AYi8YY5Ikm4+EHFAeNiQWHCxaNq+GCQccb1K5ELgsUYgL5ic3xx659U3SuGJEH5GhQp5hg4WIz3kWGnw9vXVNxH3fL42l/P7fv2Yvb+7p3/fv2wSkxyK/kA9aiIvrxFEpDch5j7sOtJl4mVUy2+/ZWuv0zL+EAZwX5M4bivePWOUtf1sD6nTdsn+T4tmXD28/l3Vjy3TP6Du/F3RjK+HyWn60p9KEyxmG9rnF+sUYA8PTpFIdsxYIPKMsOl9cbvHi9gEsBPwG2qUHrXCTtEAilOEcIgPEOi7aCYAy5VF+nuXgA6UyNd7DeQ3CGXCtIzlFFucU+06A/hLdvDBc8GmdR2g5vqjX+fXWF/3txPkwMgjFILnCakZSo94RprMWyrXFeb2A8AV8TnaC453FILiAhcEiW0/7i8y4g7Ut36HwIaL1BaZtoPs2RCHUvtfqXOs79961shev2Bi/rN7huF6hcdW/wI+EJjpIZfsqf43n2FCfRqP0xk0a+htp/3CiuMFFjMDDUrsZ5c3lvkC0gwAaDJnZiqUv0eIyn/XGubYObboEX9WtctwQ83fe9NFeY6yl+zJ/jx57ZJgskv0IS369Zt8dZYCLHQMrQ+g4X7dUtic6hZYND41tsbTVI9g76Pe+wqlu8WW1Rdh2OinzwbZKcOnHCcBgX71mivZI/0x3s19/r93rMImadABggIZF9G/vLz1I74KnBRI4xUiOc6KNbP/Oxbcv+fWsi4+lVc46L9jJK7MzBbCeApDNjNcLT9Ax/LH7EaXKMqZ4cbLz7LVV/bhmAXOY4CUdgYLjubpCI+0ujXPDofIfSVQPj6T6AH5gACwoh2ssHcHCWgPMCnBXgLAeYvPWKjzFTk8+LhILEAyyUfnP1NuDdBzopwTFKE4wzjc44bNsWZcORaTn46fa/e8gzdtBqMFKquGDR+Qatr8E9sTxcsJBMo8D41rX2peEOvgcIJA/wtvqaizOGRAoUSiERe4bPAQNYlkoJFe0LPud6qr+e7trL457vP3jqMkBAQEN/cP9urEMXv5z3AwiXKIlUSSRKfrPrybtUPJ2xWG8aXFxtoJRAXXXDcX+ovCfG0/X1Fq/eLIEpBzvlaMYOrSfgqd9P6xhUYoPHOjKejpLDmFX3qUdLtZOCIwkSPgCtbVF1BlVnSIfqHKTgu8kP779QN6bDy3KFl+UKN20Fzjh+LKbYmBbrrkHtyOzTR5SXtLYCghNY9bpao7YGI5XgSXZgItMDKyCgibQ/GzzSSMn7mhKSbLBYmxLnzQ2xPVIglynuC7U0kdrYeYtEaKSRivi5izwn/KD5vWpvsLG0qD2k9v1+cpFhKonGP1MTZCL5Zj2dDi0R/TK8zJGLHJrrBx2zD2Fg/Ll7yBsPrZ4B0/gWK7PBZXuNtdmi9d1Bv09zAXUoMpFiosY41jPM9ASZyL6qjtznKPI7UGSK2o/zA4AnH6W5vbnwoeNM3hrxGSAlRonGLM8gOUfndr5PdfSh6JyLXaqAb8fa/ff6vb6P6hO/BAQa1+KmXaBxzdAR7g3aM5F9EAjptx6dN9iYEjftAstujdo1BzNUe7lDKkhecaRnONZzFLL4qtZSn6MYyPuIkgtzpDyFfMAx73tz9Slw9/kUDByMichqUvGTeXhfAcyDcQ6EBGDfV5PuW6sQyGDaeY913eJivcXluoTgHONUY5wlMNbR3qs1OBqRhPG+Pk8BHjYYdL5F6xoEBEiuMPDNeqXH79zlX7V6Kd0kSd4BAvq1WibVvZU+D6nOOjSdQW0slOBItUKm1KOnn91Vzns0xqJsOljnYD3JTMdZQgCd+nafHSEA3nt4H+B9vN98QFMbGGPhnYe1Dm1rUVctvHv/fO/iazSNQVm2aBoLbwMyLnGcFDgrJqitQWUNbPDQXAzAU+dISTZRKVKhvk6PJ/IP4oCU8CFgHYCqozS7gabu5XCz3HUIG9Pil3KJ//vmHCLSBn8qZnhVrVHZDm1nB+AJAARnYIE2nAQ8bbDuGjzJx+gONMZ9aPXA08ps0XqDiaIIZym+HjmP8W4AniSXyGWCkzC99+u0rsPKlNjaGlNVgKsCisvPepz9Q80HjzoaBV61N2hcg+4ewBNJGCVyGQGJZI6ZmkAL/c0i4ocWZzyCEByZzKB7jyOwey0YPDzRXO8pnzikduMchmSey/aazEQPBp72xllkmKgRjvQcczVFEo//ey4Wx5kxHs1RFcRDxjn0Jsz2XqlWYACPzKZUReApSwEAi6pG3VlUnUFtDFpr0Vk30KNDYF+lAebv9Xt9r7XfkGmid8ZNt/PGIdboHIKJjwBPASGybba2xHW3wNKsULv2YPCjD15JhcZIFpjrKY71HFo8LL33WyvJJTKkMMEiFcktCc7B5u6xQXdr3j64OcQAcAA8yu0CEBgCLEJoEWDAkIBjBPZBfsPv9bnLhwDrHFrrsKobXKxK/HK9BAMwzhKMswTWeTTGoOmI9VakGgHFvUYshAATDFpfo/UNQghQTAMcsMHAhp5R9zvo9GtWvyeWUQ4F0J24r0mh1PTPv9411mFdt7gpa+RaYV4AiZQQv9KeyvqApjPYNi1aS3Y+1nkwBqTfMOhEFeBcgLUOznk4R55tddOh6yz93Ti0nUFVd7B3AE/WEkBV1wbbskXbGnhHJJnjJMfznEg9G9PA+YBCUZIdAGxNi9J2SIREKuTXCTwBlGbHGINx1MmuDcVq93pKq/xHO+ilIfDof6wu8SQb4R/0HD+OpqidwWWzvdUpx2D2RouX2lpcNiWumxKLtkZtzZDK9EE64J4XQ78Bvo3jB/RxjPvbI+c9Stfgptugil0BMjCUt/Wkwzu//dq30zhoYPf88T8y0G9L4Pa1yv3rtL7D2pS4bJfQXOE0mQ0dsY9/lv61A2rXYmk2WHQbBIQhyaEHMd4+zt15fPe1d+fmw8c5LKZiysHabLHolgSCHLio5YzRopZTeuBEjTBTU4zV6KsBBz9n9ZsIFZM/1N6YAYcvbClm2w0+KG97a33KuewlsySzbbExW9y0y1tRyR+r3rw/4Rq5SDGWI8z1dJAZfu/FwSgBCzLGP+tbflaHb2DIS+O+48zBqOulJEIIGKcJZnkWI55pYdCYCDg5Dxf6Ts7XGfn7e/1e33P1oSeCiSHCuvUdREzn681Tx+pusUPfFCJjawKeFt0Ka7O9V3NCREPeTKQYywLTmDLWf87vvSSTEEIgDw4J15BMgjN+L//KPlXQgsEGu0u2OugZzQBGPk8IHmAxESpYhFAjoEMIY/re77P1Fy1K/gronEPVGiyrGherLQAMChPvPdooQZrkKTrTp20ffjeRdYpF51sY3yEgQHCJ4OO/MfddXwWHML2/RNNacA7BOdJHtXk+vIakvBDQGItlWeN8ucE4S2KYjCLiBae9F4vXXf+7vSxs//RyxsD5TmbXA2ne736+L/Kxoj+tozVl2XZoOmLRd9YhkQLjLDLC9t6LsZ0P1tde3gPOOXTGoussjHHoOhtZS4bYTvHvq3UN/V6gLdDvGQKeqrKFtWRDVEiNoyTHaToiPzBQ+M8syTDTJG1ftBVES9eb4oLG5RFtMR7tCu6TFDpHDz4RO+Amfr8xFsZ9GHwKCPCe5B6KcUx1hmf5BFdNiVR8mObby/d88NiYChftArqysBG8ABDNvMXuvUJAKjQKkaKQWVxA1djaetj0UkpeilwkSGP3jzoCFtftCq8bkgXVrkVtO8x0QU74e0ahggtY71DaGlvbxEQ8v3t/maKQKend4+8cUj4u/oy32NgaG1uhc2boZm5thZUpYYODgqTkQe+GYyxtMyxUfAjIRDJ8Fjp2IASP626N1/UNLtsFatehti22uoYWt49TMgEPj61tUNoarTeR1UBgFSX2pUi4Goz27rp8rXdofXsrTbBPmzi009IvosdqhJEskPBkYIL8VorFqZxHCUWfxOHh4A6OXA5w8ANo+ZiMJxfskFRRRzbbLlXksOLgSESCkRxhrMbRPPi3Ns5Uu/ACMrPsjVkPKR8CHPqEEH+wXEYJjlme4cf5FCEEnIxyjBKN2hgkSiKRYvD8S5XENE2QKhkXHL/X7/V7/ZrVx4EnXMfmjoWFjU2Jw8pHplPrO1SuHrz/7vt8UFyhkDmmaoJMZgPL6bcyM/QNu94EW8TkYbcXWvOx6kFAi13y4qHvzpgERxLXkh28r+BCiRAMQujAkewlyt5lkvF7/RrFGTV4AiQmWYKzSYHOWDDGMImMJwCwMT32dFxgkicPSjejTXoMOArUlCJD5RSKaWQih/pCiXa/Rvm+OYY+MXHPWPz7POSPlvMBnbUwzuF6W+H1coO/XS4wSjSqluwUMq0Gn6Xe6Ftwjk3dYtu0KBsT95uUxjdKE4xSjUwrCBExA+ewqhqsqxat3SmXEilRJBp5qtAaC2PdO8RO4zzq1mBdtbDOwTiSpuaJRp6Q7+jXXj54dJ1DVXXYbhusNw3WmxqvXi1xebXBZtuAc4a//3KDAEDeESDQy/Wc82g7i6N5gfmswOnJGFmmQaotg7VpYb1HIiTGiuaQ2hksuxqSC6RCYhLub9HzoXokc3FiAJHLPCHskjMIQR4frbVoLF1Q/YbyffcudW4IeJJcYKpTPMsneFGukIq7P+r+a7ngsLUVLpsFAq/ROoM2SrMoIpEkYn1qzUQVOE1m0Fxha2pctAucN4uYeEBJNkdqgrkeY6ZHQ8Je6ztcdyu8rq9x3a1QuQ6VbbGxY4xkhpHMkIkEidBIgkLjOly2K1y0C9SuHTZ3E5XjJJnhNJkilykABnmgRtfHTWXjOly3K7xprrGxNaV0MIHOW6zMFsY7pBwReLLonMFFu8Rlu0DjumFzOtNj+iyYDuPh4XHTrvGmucbL+gqVa1HZFqVtUMgUI5UhFykSrpEIBesdrtsVLtslNrYaxrOQ6XCcI5khRRKP8/2zOCVstdjakuR1wUSm0+HLWhHTecbRQDUVyXcvu3pf9Sy2PkVRMBEB4MMWqCSXdXB+l+j4WGU9GVqXtjdGNQOj7dCR5owTwChHlFTIk28mneYxazfOO4CR7uHDJHc7lqG91wZSSYF5ntKCLADjNEGRaIQQkCqBRFFUd6pIbj1JE2RKxc3Wb3QV93v9Xl+oeEz20kLDBAvjKc3rNuf6w+VBwFNlK1S2jl6XDvfNrCRvOgKecpHFZtRva07oz/suEUsi4PA5eGCYx8Sn+8zdDHJgGgAruFDD+RVi8gMCSH63Y7T/Xl+qGKMUO84JaOrGJKETnEfgKQXnbGCVZFohT9QDRm3nAcdjMxk++rHFVK+EZ9D8+1xPk8dOgI1EiR5s4oyDc/xqcrKvrXpfpartcL0p8Xqxxs8XC+Q98NR0mOQpxhn5jWVKIdUSSgjcbCu8WZInmYvAqOQMT2ZjnE1HmI8yJDGZse4sLlZbvLheYdN0w/U7zhKcjAucjHOEQD5Eb89z1nnUncG6btB0FnVn0FmH43EOwdm3ATz5QIymqsViWeHico2Lyw3OL1a4vNpiu21hrUcIwKZsIO6QVvbXrRAcoyLBfFZgOs1wejpGmlJSXessNl0L4x0mOhmUUJU1WEVz8alO4T6A2zykHofxFBkzztMFFRAG1g1j/YNx5+dy58ug9xkJRN2LlLCR0u8apsUTQcbHHiH4gfFUuQbX3RqOV+i8ResMwIBkzxTbxmjG1nfQXGIkU2xshZt2jfPmhmLc42d1fvcgFzGi1XqHramxNBtct2twcMgY2Qpg2FRxxiAZjzHnNRbdBmtTUWSsN6jdGJxxJFyBgUEogRT6owNMaWMOnTMoXYOV2eKqXWFlSiRCkak0POoILO1T4ztvsbUVbroNSkspKF386j+L2JMWbm2NpSlvHadk/NY4E6OGw3iL0jZYdBsszCYep8VIZmCMQXM5/M6HWGw22CFhq/YN7D2SWvqiY0kwkgVGg+ky/yI02S9R+8fZyyv61A8WDj8H/X372KATgAicEsBYuxZdMA8aZ83JI2QUE+zEb3qcWbwnOaUWHch4enucDzUXF5yj0BTxy2LySiIljHVIJDGehq4hYygSDS1j5O93PEYE+tEmwAXqvNngIRkfvBi+t+O/65hFDAJ5+5j7RBoXu6AuriUAuh4ZGLQQUFwMCU33+Sz0OpGR7Ym1KeNnkd/h+T+k9qV2iilorm+xGxWL0fIfCKLwgUzFS1ejcjU6v1tnHP45iPGUyYwaBiKF5N9uGtF9673zdjRb94ENQP4h5eHBwGiNd6/nJ8nsGHMIcPChhPOr+D0Jak7t7Bt+ry9XnDFwwSDB4ZMAPwpQQkBJPjBHJOeDrO6h9xGBLAKCK8i4dggx4U7zFAlPoXkCxXS8ar+vK8OHgNZYNJ2F935g4kghICXJkX8jU9StIo8xj9Y4lG2HZdngcl0iTzoITuEyAQGMgSR3jEFw2gNXrcFiS9LQzpKMrAdMpOCQnMElpChqjMH1tsKL6xVWVTOc/9ZYKCFQJBqcMzjnIxuPwBrnPVpjsW0YfJQDth0prfJE3+mF9NVVNBe31qNpDcqKJHXrTYO66WCsA1pgvSH/NcbfbyIkBZF/Ei0xm2Y4Ph7h+bMZjo8KpImK0l0fMRKHxlrUziCEgNqaweOp831DqX/lT6/HAZ4im0IJAS08BN9dgLnSMeko2W1O7noZxG5cpHyHEGC8g/PhnU1QANA4g8ZZLNoKdZT4ccaHzWznMaQ98QiU9Ald/QarcR2W3RaSCVSOZHCaS2go0tTGDezSbFHaGnM9wZEeY6RyjFSGQmYYqw4nyRTPsmOcJTNkMkEWpXmKkR9SEAFzPYILxP6pbYvKtUiEQuctbro1wADFJcYyw8eGNyCgti1WpsTalJE9VSCXKVKukQqN1huwANSuBRClhlxCcom5nsAHj62tSSboOigu0Tlico1lhpHMUcgUY5UPLK7jZIKn2TGepkfIRIJcJki5hopsMsEEZrqADRap0PG1Wwgm4LzD0mwGT55CZhB3HKYLHq3rULsanTMHy4X2i6M3Lk2QiIQWtd/ZQ/LQIn6Tjxy+fjF5WPXdTrYHRj5WUbS3iTK77kHjzEBeXonQQ7Ik+84TC++qwawdPQBwPxBv38/uYE+IQA+w1jrqsHAGHeX9gnPoSAVmAMAYJOe/CaaT9R6ts2icxaprsGhq3LQ1jtMMT/MJnhXj7242soGOubWOjrmtcNPUmCUZnhVjPMvHtzrGlTVkcNm12JoWm65DabsIRlHSyo+jKX4YTXGc5vf6LAGIzOaAq7rCebXFRbXBaT4aPstvsVxsuNWOuqVTPsHRHnNBMIGJmnwwuZYk/oY8olz7oMYQovw7iR5PmiuI3+i8DcQGbfQ2DAjvyEg+VOyt/x3+ng6AhfcNvN/C+RWcX4GzEQSTwG/4Wfo1l+AcqZbxv6nZw9kOdPqUYuAQTJI1BQRcsHDcxXW7hOQKIoLT39vzCyDj7OtViYvlFp1xKFKNPNUYZRpFqiEyBo7fHqN+/5qbZOlgaD/LUzyfT/DH0znGWYI8UdRcVAJaSkjOMc1TPJ2NIDhH1XaoOgPrHACGTd2CMYZZNAc31pExtvPgnGOWp5gXGeajHMfjHLMihSMmC4zbWfmUbUeMrK6DrmVk/GlkicI0T7+ZpDshGEnhQgDnDGmiMJ8VOJoX+OXFDRgYRqMET59M8ezpDEK8f34WnPyzpBSYz3MczQrMZjmKIoFSAmAMuVSYJzlK26H1Fq/LNWzw2NoWinNkQkJzgd4x9qtiPBHdk0FBQEs/bCo4Y0i0hBYC44TkF3fRwoCd+VdvVO4RYLyPi8fbPxvQ08QaLKOZeIjv6YJH4zsYLzCSOeZqDMkFaksgSG+cS4lpHZZmCxfcIEXTXEFyiYRLaKGwMRWWZovaEoBypMcDMDOSGVpncJxM8Tw7wZN0vvN26tlAEbyaB0+Ai82wMVWUolF8+U1nILnAWGYHLd98CKhci5tujZXZQnKJiSqQcIVUaGQiQWkb1LbFVUfUac4YFBPQXMLrMTQX2BjyhtrYKhqFGrTtCoJxTFSBsdyBTiOZ4UhP8Cw7xo/ZKfk6RU+CnkkjmcNUjSCYQC7S+NokobLBYdltwcExEuk7kaD75byLVP5m6KbetwZz8Sh5VEz8Zrqp71YYrvmdCf2hxYZ787HBJxf8MM6t6+D8A4AnxiDjOKcRYPwtABt3Va+hDwMD4VDZRe9hEJlIB57DPua5s+Q3oYVAUDTfSM7fYqvS/M5/A0l2NvgBWHm5XeNvmwX+tl7gHydHEIzjaT46+Bx/K+W8R20NNl2Hl+UaP68X+NtmgZ9GUwjGcJaNbi3ZK9vhsi4jKLTFeb3FdV2SN2TwyKTC/376HGOd3Bt46lnYxntc1iX+x+IS/7+bC/yn+Qkk579p4KmL3kxTNcFUTjBWo+HfGRiFUvAPJ9oZb4dUPOPtvUFuAEMoRCrTIbDkt1rkqdmDT/dtGOwYpfcDn1z0c2rgfQnn18R44hJADgYBDGPyu7n411KCM6RKQQkCf4Tgj+aZyMAguQIPHIr5QT5LG8+4n0HfPPr+rofOOlytKvz11Q3q1uBokuNonMO6HJxzZInCbxB3unXN9cDTKE1wNM7xbD7BP5zNkWoFJQWU4OCck3KGMUzzFIyR1G1VtVjXDcqmAxiGABrOgFRLWOdhoj+TYAyzIsOPJzMcj3KMUo1RmgwSOrS9BNBEACuqkjjDD0cTnIxzPJ1NIgj2bQwaFxxZpqGkQJ6RRK7rLKaTDIwBdWNwfFTgn//8BP/8T08IRHpP7SSiDEkikWgFnUgoKSClQGABudSYJxkEY9jaDou2hvE9yMyRSgX1GdbrjwYB9hvTfsPXG1aLQXpBIMWHNoQkr1OY6hSSc9SW0uyWXY3adcNCftnVuKxLLNoKi7bGVVOisgaJkJjoBFqw6FXioZjAWOVQ0STPBAvmGfo0rc4blBawwQ2SMTLUUpG1lJBczTtUrqGf4yJucjVSrpEJjbHMMddjHCfTQbO/n9gVQoDgApmIOsq4Kaxcgzp2DUc2G5L4PlYBAa3vsLEV1rbCTI1RqBRjmRMTSSRQXOKi0eDgQweZvKvIA6r/LP2jpbItGk/g3MxR8lsqNB1rZFGNZIa5un2cQJRVRImOZAIp1/Cyf2QFVBYD+ykVGt1HOqQ9INcvah8CPDGwqEfX1E39Tjs0d9X+RsBHCUzvbXY/SUSfIMkHYvVjTUO9OX7rW5hgPmGcKR1Jc30rkvq3ULcSLkPsm/dyuXuMNAMGucd9uuc+RIpz28VFK0emFNww54ShQ0WJOTvz+MdMyvjayoWA1jlUxuC6qfBiu8K/La+ghcAfxrN780O+heqPubQdbpoKL0o6ZgbEY37LkyGywirTYdnVuKpLvCk32NoOpemQSYXnxRiVMQ/6PMT0pCbV2rS4bkqsuxFad9hz9nssYn3T8xVxXZLwJGKgdMcLtrMNeP9rkBdc6zpqGIR3/TYOqd7oPOU6Ngx+O8DTredztEJwA+PpPj5NDCxaQOxbCRz0DBzWog4BBiG08KFFQA8kfl9z8vdSlHAGfA4EhDEGgWgs/hup/XvRWIfltsbLyxW2dQtjaW+YaolRlrxDgvit1P41l2kVvyRGaYL5KMPZdAQlxWBmP9jvOA/OGRJFP7vf+O7ZT521mGQJbGQ9KSGQKpJd54lGEZlLWsn4OfqEO0SJnUPVdgNgzwCcTgpoKTEbpb/aLPaQ5svbxRkjoEzdJkowxrAtW6zXDU5Px/jjH47x5388Q6IfBuNY76C4QCYVWmex6Gos2gqtdyikQiE1JNuBTo+5Pn80c3EfPRQ65yJaSabizpPW0joPLQXG6Xv8mmIVUuNZPsG/zM4gGMNFvcW6a/CX9TVeVRtsTYe/b5dIpcJNW2FrWmxNh9qZoZv6NM/BRQsmGto+sX7TvEsO2fcW6WUpNrgo9dtjKpFLCkYyBUvnmKgCx8kUmUgOOi8uOJS2QeUIOCOj8w4m+kv1hs89SHU4NyGe9wju+Wi6zcCGzy6YiPHI5LNlA6XZXbYraC6J2eQNrKfkP/JdYsPr3udzuOirVVoC0VpPx2q8HRIF+wXR25vNO48NvdF8jHZ/gLdQb9jZJ+7Rova3tZAiuZWPjL5oPnrPjirvKdbRmPwxqfckf3VxnB+WmPf+cf5t1fvG2UXW06HFhjQ8GT1eDrtXrPPYNC3O1xTtHBCQSInaGKyqBlebEo21iAm34AyYxMjb3zIz7fciKf5pWkAyjkwqzHWG06zAi+0KL7arg5M331d991Nz4DQr8J/nJyikwg+jCU6z4hGP4tsqWhPROqHxLW66BSpbxQ0DjzL4HCNZIBXpna/j9+ab+/kK7epW2up36Bfzsdr56rnbz+h7pPf2677++Xx4NiEAJsAgwYMGYwk4S8FZSkwncgF5K9Xu9/q9vu9ynpLRlmWNbdViNsrg/DfiD/Rr1QFTQd0ZbJsO26ZF01nyzTIO1jk47yEjS68vKSj1WCuJJ7MR2ekYahC9WW6wqRuMsxSTLKExMrtEdus8OutuAU/W+SGd/teuT4Wf3nd601Th9HiM5k8G00mG6ST7pPVzb0VgIyt8vxlsvEftDGpnYPzD9mUfqkdjPLkQYOLgG+dhHHl+NIEuDus9RmkSjbrff2JHMsHzfAIG4HW1xutqg9fVGpfNFpdNia1p8fftApXt8LfNDRpHxuGCcfzj5Bj/ODnGUZpg41bYOg/eJxGwXUdI9JIh0IfoAQ4eGU+MsQja7ORjI0nJbQBwrCfIPkBB3y8bHEpb47pbYWvrweicRS8nxeQOkLnHQgPAwB7oPQEA7GLU98CznnptY9rfVbuE5AKtM+i8GTqOKm7YdyDY4Zeah0dpG9x0K6xNhS6CWgGAYhKKiwhY9GDfxxPLfFyMmWDvZXS8Xz3oKGLC14fMUr/HCgMY0X+5BzGedka0u+v1sapnYdnwKQAjho1Uv/D+LW1g6GFxe4wfEm3OI3OsNxc+dJyN91g3Ld6stwACtBSYpAlqY7CsG1xtK1SdQR8ykSqJ07GJ6Tvhu2M6/V6HVyEVVMYx0SlmSYYn+QhP6jEYGJZtg1XXPPi1ORgYB3gQOM0KFErhp9EMuVQYqcOe4d9jEaOJWA2Na1DZGgFhCJ/QXOEkOYbm+k7gaZeAef8ktVufZWiUPf6z5Vuo/jzuz9v3Te/tGSrUHOrXcQf+LjgAtQc6ZeAsBZgA4BGCxc5g/Pf6vb7vCgCcD6jaDsttjW3doe4MMbZ/r/fWXYLLujO42Va4WpdojUNryOhbSfL9lPx2qrHkHImSGGcJEFMZl2WD622FN4sNpOA4HudoDSXUWRf2EggdWusQfBhSOgl42gWM/Jqsp0++Wt4jbctShZOTEaTkSDONyTi7Bdw9pHz00TbDc6eX0dPfC2tgvHt0lt+Dgae35R3GOdTGoOwMamPQOQvj6EKz3kMJAePcB5kWqZQ4TnNIztF5h6umQuMsGBhyoRESouB13mHZ1pGeHCClwFgleJaNcZpnOG87dE2JADfIgjhu69/7YSUDavIZEIwjADDeEuMpcAjPoblEIsgkPBMJJBfDZrf3OHKBpHhrUw7eR63rULkGW1tjYyo0kQkkGEcmEzDBohfLA0aVER1eMwnFKa68dR1KVg8ymyqafvZj1DmL0tVgjqGJ7CvFJTKRgIlkb/EYbr1RLz9UXEZvqb3jZAI2ONSuxdY22NgKjevQ+g4AQy4SAL2k7x5wVqRj9pvTT+h73xrv39Ky1iPABBuBQJIs+gdIInpwUnP1+HHXcZx9P86fMMH1o/zb27wQcNd5g8a36Lx5EHuMx655P86HArU+slo3TUsNhqRGoTWMd2iMHcbXOIfOOTTWDIuCx0zK+DVroJGHnulrKf0jylMYAxprB1Zu4+gBfteY7NirIfqe0bmi3+l/CHFRRQ2UREgkgp41jGFg+PY1MJC9GxYS9q3ObU+LZ6DXSyWZSQ7f33u9/rP1CXH9Z6TGBx1zay22psPWtDTO+5//PaWFhBYSRQhIhEChFLSQeFGukEqJVXe/cdkfE+rkOdjYzfMIUJx/1Ny+f970x9s6Sn2xnppZ/fznh3lr+E1aS8Rx6b3M3h4XFzyl8IQQz6G9Y5xjMqug1+wTAd9+vftW30iQXKJ2DRrXoPHt0GxLY0KoDR+XI4Z7C3pvV/9UJi7ytzYLfHr1kkcKwyFLh/ueSwYGwQX5cjFFEsmDrw8SoxJjXoAxHRlP/dbAIoQO3tdg0NFs/PMmD/ZzYQiAcx7GOnTW0TPDk3Q7+NtnqfczkZxDSgo6koKTn4l4P6AZYrPcxtc2jkyNSQq+2+P0Pili/7VlTDkTd88lTWfQtBTpvv9Z+gQu1//p6L/7ZnifBiY4hxQcWkloKaL3bf/ZiXHofUBrHL1XZ6GlQJqQBIr33izs/Wui4ZkTP0f/Wb0PSLVEmqghfZbzt+aw+Llt/DKWVC7e78auf34whuFc9edPCX7LFHn/tYc00gDaVzYGVUsN+ywhiRdA/9ZZN3wO5/2t9eP+OddSkPfQns+P92E4b511dG35gPPFBpfLEsttg6rpsNjUuF6XSLSA8x6dsdB7vjq79xHxffggOXvfOe8/K503OnfWe7qm47OHrGsAHq8BKTiU4JBSkK/X3ku/fe4CAASSsdWtQd0aOm+JQqJkHCt63/3rry/O2a37R8Vj2vdnHvw74/lsjMWyapAqGT+vQN0abOsWq6pBYyzqzsJYhyLRyFPyiurX/fsrQM4YlCQ537bp0FmHZVmDx3tCCwGt5PAbLN6binMEjuF6BYCms1iVDbQUwzXw0Or3JwEhKrri9Revm94/d3dMDyslBEZJglGib31epQQmkwxaS0gpkKbqk+bhEMIuDMZZuKhA6CX2JMnvj+X2MX3q/P/JjCdCiD3qzmJVNVjUNTZtiyaim7uFWU+Bu3t5obhALjUYY/hpNIPiAqdpgY1psbW0gO8jmRWniVgyjlxq/DSa4nkxRSoZVpYS6ewBRsWKS0xkgakeoXMGW1tjbSs0rkUqErTRqDsV1CG1gUAUihaVyEWKSrRoXIc39TVKW6MQGQqZEhjkY2cfAdY7NK4bjNOdJ4Bo5+t0+GD2/ktTTZREGyyu2iWuu1X0eErR+g5rUxGja4/9FEDJfo3rIhjRbyhog7IDa3bnKBMJCpHCeIPLZonWdchlGpPpOBrXDcwrShXcMRp6JPW2f9VHjrUHCaPJ8UMu897vpqevP3x5/G2W8w61a1DaChu7Revbe0sier8P6n6Tb9iHvD/uXXvjTGN9/5foGXQ9m+tL0Wu/VFFIQovSVlibLRrfwj+AOSaYgBYKqUih7+m30o9BYwwutyU654ZF6w+zCcrWYNU0WNUtFBef3Kn50uWCx9Z22HYdVl2Nq7rCVVOidfYt2TIAUKpaZcwHgdXOU6RtZTtc1RUum5IaLHvgu4hy8UIpnOVjPMlGmOiEnouCY9/FrrbkLXXdVFgPqXEtyCiWRWAjyrM5j0lvE5zlRWShsFsJdD54lKbD1nRYtQ2umhJXdYXGmt0xs71jbkpsjbm3UfKnVOcd1h0d56prsIqsqdZZmAhE/WE8wz9OjvAPk/mdr2M8baRKa3BebfCm2mLTtdBCQHFaDLbOonMWdliYAbMkxdN8jKfFGIXUSISAFvLWtGacQ+MsamtxVZe4akpcN9Vuw43duKRS4kk2wlk+wizJoPu1z6cAT4xDcYWEJ4OXIgcf5t6Dudesb0s9nGFKoLQf5u5P6jx8g9W5DqWrsDQrVK4+COx7uzjjUIzCNbRQlEZ3YIVg4UMNH0qEYABwMKbBmATA4/ppC+Yv4UMLwcfgfEwg1GeqEABrST1RNR1uNhVu1hU2VUsb6c7AONqo93JtETfno0xjWqT0NcowLTLMRu9n7fkQUNYtVtsGq3L3VdbtAKgEhGETnqcas1GK2SjDpEgxyVOM8wT8js3sYlPjl4slfrlYxs+TYlKkqFuDpiUwpWwMyqZD05kB7JeCI08U8lRjkqc4mRU4mRYoUj1sqp33g3zpcrnFi8sVXl2tMB/n+Olshh/PZsi0/OBmO4D8jDrjsK1bvLhc4cXlEnVr8ePpFD+eTnE0yZFE+ZPci6A21mFbd9jWLZbbBstNjcW2Qhfj6411w5hIwYdzNSno/E0L+vtd5eLYrrYN/vbmBn97cwPOOf74ZIY/PpkjBGCxqXCzqbGpWpRNi7Lp4PcAyUlO18FslGI+znE0yTEbZcN7WOdxsdji5dUaV6stWmPRGofFusJfXl9jsanQGosXl0t0xuLl1QpFTLfbB83GWYL5OMdsnOFonOFonGM+yd87I4aACMh02FQNFtsay3gMxjkY6xAChvOWJWo4b3Rd0/V855hGP00fAl5drfG3Nzf45WKJPz6Z4w9P5nh6NMbNpsJiU2O5rVHWJIVrOztcE4mSwz00G2WDubrQe8mnnCPTCpMsRQBwvangQ8A4TcgAPEtQtiTTYozB+YA2gk/9nlAJgdZYGjNOpu5VS16Oy7LBsqpxs6mxrhoY56GZiMAPfdAQtwtaCoxSDetzAqAiYKaVwKKsYZzH8TjD0SjHTGZvn7KDq1duOe+xKGtcbEpcrkuUHbHiGmMJhIpNyYfWUZHjn86O8c9Pjm99Xs5ZBNwYuGARUH/w2wzel72fZggBiZCQjMPF57IamnSPu17/dKldoM5dL6u4KWtUhmINrff3YquQubhGKiRSIXGSFvjz5Jjilk2L0rTDBlUwMiLPpUYejbBGSsN4g7RTEIzhkEe45goTVeAsmWNlttjYCitTQnGB1BtkXsNG0EJEdo9HABglpuUiQSY0mshuuu7WmOsxjvQEiku0zgw2kTY4NL4bbjzLCRh7CEmdM4ZMJJjFNJqLZoHLdoXKNchFilwSQLa1NCFILqJjFY+LTYfadUMKIMUh4x1ggoGSZzKRoJApumBx0S5w1a1wFI8zEwla3w0go/V+8I/q6fgcLPrQ7LrsH6pdtyT6PjzwDuvN03+LgIQLBDytzBobs0Xr2gcg8cR205wACfXIyUP9OPM9NuL9q+82uIHp81uCGF3waFyLtd1gbbdoXPsgk3bywyGgXXF1T4CRVgSNsbjYlLjeVpgXGZ5PJ3g+G6NqDcSaobPuVpf416RAP2Y5TyDMdVPiZbnGX1c3+OvqBlvTUdedc2RCIVcKhVTYGnq4fwj47ZzD1rRYtA3+Y32Dv6xu8KJcRXYMXdfEsOU4SnP8y/wEktFCC6Dn5/7JrK3BRbXF3zYLvCm3uKy3uKjLKG/EkFyiOIcWEv/z0RNIJjBLUigO8Le8GF0I8ZgrvNqu8dc1HfOqa6Di50qlRCE1cqVQWUPH/GsCT85h1TY4rzZ4XW3wqtzgdbkmL0hr0FiL//3sB+RS3Qk8BdAzrHEWq7bB39YL/PfFJS6qEpmUyCR13LemQ2lbdG7HVnpeTPBf5mfQQoClAGO9p+Xepi1eO6uuxc+bBf6yusHPm8WwYKVxJq+liU7wn+an4JwjERKQ1FT7FNtfzjgkV0hFAhPMIIPfl8IfAj3dahg8sPqk1d578LczaxPo1nmDrS2xNGtUroZ5CPCEPr1XI7lXuEYAGYo3BDzBEusJOrKaOAAH77d0nfCW3o9lAPucwBMxCprOYLVt8OJihZ/PFzhfbAgc2jZojBmYOoLvGC2nsxGeHY/x/HiC5ydTSMExvcNcOARgW3c4X27x+mqN19drvLpe43pVRRCCNsmplkiUxNE4ww+nUzw/neLZ0YSMj1MNdcdx3Kwr/Osvl/g//+0lnh6P8fxkimfHYywj0LXc1rhZV7heV9iULYioxpAogfkow2yU4+nxGH92xwNbRQpaDxPwZLCpWvxyscT/9ZfX+L/+8gp/eDKHsQ6TIgVASWJ3sjxCgIng3nX/Wf/9FdZlg//6T88hItsKAORbr9FZh3XZ4HJV4tXVGi8ul3hxscS27iLTy0ApgUTRuXtyNMaTozGezscwJ9SUGmXJe5f1xOYKcM5jVTb4118u8f/+b3+HEhyd+QnTIkMIAb9crvD38wUulltcrytcr8phwx8C8PRoQtfB8QR/eOKQKHkbePIO58st/vvP5/jLq2uUTYeybrGtO6yrBuuqhXMenXG4XJYDe+rtDf/pbISfTgns+8PZDFIIzMf5exc2IQRUrcHNpsL5YoMXFwT2XSy2A/vKez+AfdNRiqdzOnfPjicAgCLTkG+xnvryg/TM49XVCv/Hv73E//FvL/H//JefIgCY4GKxxd8vlnh5ucL1uqTrr2qG81akCZ6f0Hn78XQKxhjGeYJkDy6QnCHVJItrjMX1tsLVpsS8yHAyKXDiPaquI2Nx1huAWzIAj2wvJcXAuFMBMNajag2M9bhaE6izrCj9rl83Dmw47E6viteSiMy2TCukSqJsOyzLGufLLaybIVUKs+ITgSdH7PbrssJ/XN7g386vcV1WWFUN1nUD0zMBPwF4+uloBgbg+WyMWb4PPHEoRSA7Y/jk5m0IoCAY06G0HSSLawweBta4jHZDwOOu1R/F42nYPPb0UC6ghB/kCG7o5H14WSEYB611BbQg+ZwPAaWlE1PZXbINA0OhNIoIVIno4VQ7YKxSzPUYjeswkjkSQQ/jXDiEEGLHT0A7YjvN9BgzNUJAwNbW2JoqJr0oJEIND3SSoIgI30TGkRrBRcZB47rhfAC0INB891jqQbgQAvkqcUlGkJG+P5LZrZ//8Dmn1x7JDB4Bpa2RCgUTLFFywaA4RyEzKKaI2aVyjFUeQabdWOj4WXqAhwH0e5wuj0RoTFSOzk/RuBb1HrsJcewVl8gkBt8sYlU5kmhF/4b940yE+qDcYd8wujdgv2/1PlGdJ6Nz9yCI79uq/eOzwaK0FW66JRZmjdo1D2LCyNhNzUWGhOtHBp5YZEvIwWPsvhVA4EsXLIw3A1D8Pdf+8ZHMt8KiW2HRLVG5Gj58nO35dvUJkEWcMw9NtRGcIdcKszyNXn9EHVecY5RoHBc5MmXQOmL0jBINLfvN7rdT+4uezjvcNBX+vlnhZbnCVVOhdiRxFIGOzAdapIQQUEet/NuXZf+aHgFb0+KiLvG63NDrWbPr8DF6416Pv+4aXNUVxnoDxoDjJCfwZ48O3zcSXNhlZPVTbs9+NZFlFdDiuqlw01RYtuSHxJjeMbdAoM6irfHLhoy/r+oStTUDI4txOp7W0fOlP+Yvcy/2jDNae/SA2VVd4sfRFKX5kIYvDN3NxhlcNRV+3izxqlzjJC1wnOZIhNzzROjZTw4LSSm751UW5zZGLO49OKc0HS7rEq+rDS5rSuSNpCmwyBgz3sPAAwa4biq8KTcQjOEozSFZNrCuHlphaMSQB6Ia1h1haALQ3/bo9Xt3627ejv6JD5y7XfAwwcZGlXvQ8+lbq7B3LTS+xcpscN0usLXlwanG+9U3DHKRIxUJJJf3GAlihQOBZHZ8BECAMfoCOH3SYBFCC+DDacQPrUHGEogZsdjUuF6VuFjs2DzX62rHeLJ+YNR7vjMYrlvavDfGRhlMeOd9enlT3Zm4+V/il8slbtbEPimbDtaR/K6fn11M5hJCDNIygNgW4zwZJEn7a9q6M7hZV/jlcjXIcurIdKrbDlVjsK3IeNk4B8RHtrUOzgWUdYfOWkoOyxKaS1KNIr29R6DzVeHl1RpSCjw/meB6VUbpIUOevH9P4cNOinS1KvHmZoNXVyts6hZ/KgnA2l+iE2BAe7rVtsGbCJycLza4WpbYVC2aGHNvPc1dCMReWkRGTNPRHq4/XzqCU2+DYyECEm1n6RxeLMFAIM+T+RiCM1wtS6y2Dcq6Q9MSC87tqWwIPDS31DfvXng7hue+xJoAkSjr/MTGSc9Cso5keterEi8uV3h5tcLVcovlpkYVwRUzGGTTn7wi2WUvNeWcIVUKkyJFoqLkjN16s+Hzb6oWb242+Oura5xMC5zNRxhH4GkRwaaqMWhj+Jf3IbKtLNrO0lia/j64fUxKCozTBKeTApuGGD91u2PtAcTayjTt85yn80Cyx8jEEz2pAEikRJ6oAdSje40jUQKcJUiVRJYoTPMURZSgsbif1Moj0xLGJkji9ZRqBbmtCDi07sFqiv0yzmHdtFjVDV4u1vj5eom/Xt5gXbeojUHVmdgAp2NtjEVj6H5IlCTjdCFoPRZBc+vJD5sz8rTKtbqV+rxfBDQx3JHN9qDirA+P4rfY3E2U3n2utvCnA09RX1lohZMihxYC27bFpu1QdhSVWEe6/SHg094LD74ViZARaBG3/p18lyIwwXp2jsRcjRFyQrRHMsMoysESoVDIDJ23MPErERoTmSOXRPvkERjhIN28ZBwJ10iEQsI1MqEJpGEMhUjhkylSoWG8RectGMMgtZNcDBK2zhvM1Ri1axGAwQdquE0ZMI6f9ZAFHAFLAoiUZ58eIRUarTOQnAy9GYjN5LyDYAKp0EiFhgse8wggMQDyLfNvMGAqCxSSKMq5SHCkJ9BcxeOk8Syi1C7hKpqMenTeYKZGqF0LHzwBR7xPWqFBKkSKscw/6CHT+80Q8+KeSS2xQvAwwZCPhW8IcPsNUflNsNjYLS7aa1y3C5SuvjcThqFn9mUYq4IWto8Ys9snqaneV+gBoFY/zo1rUPsG5jc2zjZYbG2Jy/YaV+0NSlsOaZL3qWGc5QgZTyEPlGwoIXBc5LDHHsdFTptm52hhMi5QaA3BOY4syXpnWYpc68E34lsCn3pfn8oavKm2+NflJa6bCiOl8Z/nZ8ilIq8kIdE6G+VeNeo7Xq9f8PoQsGhr/G19g/9YL5BJhR9GU/x5ejwsLHvGUWk7uCgb+3m9QGk6uInHSGuke4/0REgcJTnsyGOeZKjHMzQRCOvP+02U4i1b6niuugYvyxVOswKSc6RCDkzVxlmcx2O+qEqMlMY/z06QK4VUKKRCohuOuUEN8+4Bf+bSghhbnDGkUmKqUzzJR/iP9Q2wpOO9T/kQ0FiLddegNB2e5mOcZgVOs4J8WBhHbQ0WbY1F20AyjtZZ/LJZwgfyfJonOTgjiXsIAcuuxs+bJf51cYlMaTzJR/jTeD74OgXEcTYm+oZ5/LJdojQd/mEyRyEV8k8wR7fBofUk8bIxVCUVySB7kwc0ARgYBEjipdjD5dcuOLS+Re1qdKF7EFPzW62AgNrVuOmWOG8usTYbdP6epmZAXNslGMkCucihmcLhGwYJzhIAHuACnKUI3KIHnwiEbRFCC8YSgKnP1i7ofW+2dYsXF0v85dU1Xl2tiYnSdJCC42w+olh1KcjDiLO4sfdwLmCcJ5iPM8xGGYpUDR40+1U2HVZljZt1jb+9WeA/Xl3j9c0GiRI4mhLLSAo+MEh7D6E+POmXiyW2TReleMDptMB0RDIoLt5/bjZVA+89FpuaGFRaosg0xnmCn6KdhIveP62xWJct1mWDi8UWoyxBoiSsczibj8mYOW7qGWODbG2UaTAQi+vNzTqCFLdZPvsVQkAZ2U7niw3qlryoxlmCcU5SwiJN4uafwTpipFRNhzc3G/zt9QL//vKKPI+kwE9ns5hURnH3O6+uQIBb02FVNgPAaJ3H0TjH0SQ7yHunbg1eX6/x334+R5FqWOeRJhJPNTGC+uvAOmJLTaLMrj8/b18LknOczgr8y0+nmI8ztFG6eL2u8O8vr/CXl9dojSWm1tE4XlMJMY72Gjz9NTcf5zie5CQhfOsyaDti+6zLFr9crvDvL67w8moFLQWmowwns4KYrHFN5AP5mHURIL1YbgcGXgjA2WxEErgJx8f4ryRLrPEfr2/ovFvyJJqPSXrowyyOR4hpc2I4b7NxhjxVEG+xaxIlMR/lEIJHjywCevNEYxyldoOPlXOY5inqrkBjbCSmRM+oft/OOYpUo0g0pdEK+ntr7OCFpqXEKNEoUg0ZWd4MGJjC3oc9Pyx6j1FKjKyjUYYi+TSWZt1ZnK82+GWxws9XS7xcrnFdVmBgGKcJTsa0ZurXBW/WG5yvt7gpKxwVGc7GI8yLDI2xFLzWGWzaFtumg+AMPx1N8eN8ij+fHeMPxzNk6jASykOLM4ZMKsx0ChnJKpxRM7KNyYM23E4KfKz6ZOCJPGDYgELmWmFZS0ghItLpCXjqjdPCYZQtgikiGhqBlCzcHgh+S6JDpbjAXI9RyIwo67EjxxhQRFp3b3brEWIMLZlkJ1xhpDI88fNb8JgYOns8MqtItJbLFFoozPQIzu9c4RWXg7StZ//4SF1zcUPYp+3t9xFFNHE+eMnA6OHb06yP9QQ++CHBb1jGhp1RqWA8+ks52OCH77/9WXrTdABReiMxUcXgxxBCGH5GMLF3nP1rk/yg9yTZ2YjScUr+4dh7Fg1QNVNDUst9yyOg83YwT7Xh83TrvtYy3mJjtrhsr3HTLVDa6kFyQ8XUAEikPDmYCXNI9Ulqwzg/kNlmvUXjWzSuhQ3mNyXasMFhY0tctTe47m6wtdUwz9ynJJPIRIqxGiETBJwfUloKHBU5UqXQWureGueRxHS7IqGFgvMeglGTIo+dsG8JdAJ2MoDaWrypNvgfiytUtsN/PXmG/zw/wbN8gkySxO6yLvGX5TWqj7FrQFK6m6bG39YL/LfFBf6Xoyf459kJ/nFyNEj3jHe4rEtcVOQLdBOZMMu2xlhp/Dia3nrlVAgcpVmUet1+XgLErvmPFUn6AhZgANZdA7YFJOOY6GQ4Zhc8GmtwXm3xb8srLNsG/+vJU/yn2Ql+GE2QS4VMaty0Ff6yvEZtf33QCQA0F5gmKQqlMY8peZXpIBjHTVPj3+8pC/ORwUUeWR0U5zjNCvx5eoSxTjHRCWpr8GK7wsvtevCT+mW7AmMMR0m2S9aJG7Fl2+DvmwX+Pzfn+F+OnuAfJnP8y+yUFq2M1gwX9RaXVYnLpsRNXeFFtcJlVSJXCs9Hk086Ry5YNK5FaethbZMNzSM3rHE+uEpjDDwalEsuo4z/vnczeU22vkPtmtjQuv+89a1WCBTUsuiWOG+vsDIbdP7+941gAilPMJYFCpENjdGPF4vgkiYWP0sHI1n6vkCAg/cbuLAB8fwV8Jgej7FCIOCp9w56cbnC//c/3uCXiyW0EtBSYj7OcDYf44eTCaZFRt9XAsZ6YhC1BkqSP1IWPZKUFLeuygCgajpcLUu8vFrh5zcL/PX1DS6XW/zxyRzPjid4djRBkWmMUmqObKKX0eVyi5/Pl/jlcoWrNQHYgpP8RwiOcZbiLgxgXbZYbGqEEPD0eIJnR2MCXaIf0CjV6IxDa4nt9e8vr3C53GJVNki0JIANGM5DoqL5txKYFCnGeYoiI3/csm7x+nqDLFGY3wE6ATS3VY3BVWSW9SboWaIIfCoIzOp9pTpLQNVyU+P1NfkH/fe/X6BINf74ZI6fzmaYFvQ5iixBayya1qDtLP76+hpX6wqvrlY7plr8M08VxvnHr5G6M3h9vYHzAUeTnMCe6Lc1zhOM8wTOh8G3qjfF7llp+4bgAIEbp7MRilTjD0/mg6/Xm+s1rPN4fb0GY8CT+Rj/8tMZfoieV0fj/NZrKSHiNbqTFr5997XGYl21uFyVeHG5xL+/JODpT0/m+ONTuu6KTKNIEwjBiLXX0tj8x+trXCy3WGxqktLFe0VKkpF+DLMLgRhn//H6Btu6JRnnmM5ff9560/EuMgl76eoo18gS9Y6sK1USYsQxzjQBQ1FeJkVkzkgRx5gAdjq3xEDkEZjZf00Wx0NyCvjKE43jUUasm7iU55wMzfdlhpEIvjNlB5myM8YwSvXgd9X7Pn1K1Z3B+brEv51f48XNCm9WG9xsK8zyDOM0wdPpGJmWSKUiNtobgbozWFYN5nmGP53M8cN8im3TYtt2WNctrrYlQqA19J9O5vivPz3DP54e43RcDCb6n6s4Y0iFwjTJoIQczNErS+e1l9t9DouaBwNPbz/YlNjRTGtjhuSY3m2e/v5hMywXD5ySZNzgtu6xm6g+ekCcYyQTFEqTXvEeJSHQ292FQZ5ARqzvS5JRTEJB0kUvdp/vfckz/c/0Dv49TfCh/gi9VIIzIAQOJSSCeIsWv/fS+4vCdz/Lh9PAJBOQEINJ+q3khTuPs/+cDztOEQ0zE6FpYfuAxY4LDq1rsbEltqaK3jfUQd5tvr61re+Hy0fWWec7LLsVFmaFm26Jldmgcfc3nWYM0DHlaKomyGV2MBPmkOqZbUlkEvIHgFo+eDS+w9aU2KjyNzHOIQR0vkPnDY1ztz/OzYMeFporFDLH7J7jzBmloGSKHvB9g4ExMkAkIIo2lCp2pAT7dH+YX7t675/OO9TRv2hrKMkvFRJn2Qg/jAh4SiNLd9HUg5yqcuadvbzzIXaYiFVzGcGkJ/kYy7bZ84xisNEbqLYdKtNh3bVYtMSlqq2J1Oj3lwth+Hea62le7rwb0ukqZoZ/r50hj8Zbx2xRmg6brkPjLBIhcZoV+HE0RSolUqGgOB+OubQGdUyl/bWK/I84EkFNKC0EcqkwTdI4JvevvqECAJlUOEpzPMnHmOoEkyRFZclEtXPUfKqtwbJtMEtaYphFYNE4B+M91l2Lq6bC63KNJ9kIi7bG1rRDWEoAUBlD14wxWJsWy7ZBKiVqYz7JuBTYNXUkk7F5FBlLfRDKAZh9n3SruYZmCoK/P8XpQxVAzZHK1ljZDSpbx7CT73feBgDjDTpPTGyat0kiXcbjv28JJpCJFBM1xkgWSLi+xz3HgJgpGJ1ICQoPFrttHQNnORiT4EzHn3/cCiGg6Sw2Fcm+LldbXCwIeHkyJ3bH85NJNL0mgKMHpIxzA6OGPI2I8TBK9buMpwBsmw7niw1+Pl/gZl3BRCnMdJTh6dEYPz2ZDQbJBDy12FYtpOBYlQ3eXJPcbrGp8eJiCRnZGU/mJFN8X/kIqlnno+9UhmfHExxPCpxMc4zzFF00ty5STeBOtkFnHZqOWDijTOPJfAznaPPOwQDBkScakyLFyaSIcjaL85sNZqMMz47NcH7fOee+ZzyVuFxuKXEs08R2KlJkWt3arBvrsNo2eH29xsVii23dDn5E83GGH06mmI8zFBkBVq2xUfposK5aXCy34Jyjbg0ulyU4YyhSjdPZ6KBrpE/GRlPfqgABAABJREFU7Zk/eaJwMivINLzIMB2l8H4npQTrfWKBItXvAA+ckQwxUWJI4+sJEpOC5JOdpfEg0HOE09kIZ7MRErVbG/Vqm8Gr9D1z1gB2Xq6w2NRojYXgDKM8wdl8hJ/OZgR2ZgkE52iidE0KjptNNQBDq7LGyyuSoM1GGfyBOffOh+H6kkJgWqR4ejQeTPhTLYfz5kMYjifREplWtxLtgPic5RxQcgAQvQ9752A3d+9bzAxs6/hz76sQArTg8EEOJ7inUQz//QWeC51zWNU13iw3WFY1AoBpnuJsMsKPR1P88XhG/lJSIpESq4okeYIzTLIUz2YT/Pn0iJRgLXli9/JCAJikKVKlIhvs86+aetIQqbqo0QDQfr/f3+eS2Ox3XdcPrcfbQcbrP4QA6wM652C9A2cMiSR9o4qmsnd9fOdjtJ+3uGlqXLclrpqK0tZuRUHvUNC3q1AafxzN8Yfx/N7A09u11xs+6Gd3AO77f34fDPocl9X9XpPdQo3v9R4f+T36mbD77wcUZ5wMrXkCxdTB0e77Rd43NUQnMFVk3mlj5Pl+LPb3VNZbrM0WK7PG6+YCV+0NVt0ala3QxY3F/YohERpjNcJcT5GLfPD+eoy6Nc73NrSm8sGjcQ2WZo1RV8QFPOmtH+o98rVXz3JamTVe1xe4aq+xNGtsbYXOP8zQWXONsRzhSM9QiOJgv7l+QVjHBaESIi7momzAkv9NZwngkJy/473xLZQPAZ13qAz5DfZSKsVFZDlpZFIRbZkxaM4x1glO8wKtt6iseedaNMGjthZb02HTUYDG2rT4ZbOEYAxXdTkwlXzw2MZUucp2qK1F94Hk1s57bLp2L9WOgDJgl5pGiW0bXNQlZjoFEJDJPZ+BQMBYbQ0q28GFAMU5MqkGZlcq1ZB+Ivtjzgq0zpIM7Ru+/RhYlOkTgDXWCWZJimmSIovekoIxJEJgpBNkXQPO2ADm9WBfb1ZeWYNN12Lbkdn8i3IFyTlWbTOMSUAYzOjL3hTdGSRSPgqPs5fUTtV4aGAB0Q8RfVAD+f7ceV4YGzzhtNCQ7GGgXus7bMwWkkls0xKt72IKb9/u+/6qshT4sTArXDRXWHRLbEyJzncPY6pyiVxmmOspxmqERCT3eOb1TnCWmE1+ixDqne8TJDgfUZodK8BYCvYZgCcfArZ1i4tFiVfXayy3DTprkSiBJ0dj/MsfzvDT6QxHUdKUxQ2biEzaVEsUaZTpRAkeGTS/5R2EgG3V4vXNBn97swAATIoUT+Zj/OFshh9Opnh6NB7MnTnIz4Zem6GsKaJ+XTYw1uHF1QpaSZzNRh98pkkpoikww9lshD+czfDn58ckL8o0EiXhtIL1HowBZ/MRnq7G4AwUTd8YbEryUHq7qaQVSaOeHU+wKhu0xmJzs8HZfIS6NXcqTFwIg7H45bJEnmpMCwJYpsW7yWmtIb+ln8+XuFqVYIzhydEEz4/H+OGUjNNHkT2jI/Mn0wrGOTw9ohS1uqU1wiYmBz45GqM1h4GtkhObbTZKcTob4enxZGBZpZpYbr2fknN+8JQFI4bO+xgv5E3MwVgA8wEMHoKzYZ/aN2l4ZKMKzoav3WsAt8kEt98jANjULd7crPHzmxvUTYdRlmCUJfjxdIrnx1M8mY8Hvyu6dgXylJ7Di02NdUkJeN4HXCw2GGUaP5xODwOeGF0j4zzB8STHk6MRfjiZ4vnJBFmikGo6N86TBC/4MByTFJwYdx8AHfo9Minn3j3+4WfYrpnw0dmJsd5d7vbvfvxoP1v1UtNFVRPrrsgwSqZ4Ppvgp6MZfjqaRu8qAcEZfr5eIE9oT1MkGqejHD8eTWN6oce2bTFONLJohA4GXKy3w3pvkibI7owu+PQib9yY1BcCUiGRCImRAgqpMNcZMcijFO8x69F2kCFKurwnTbSxJLdgQDTWUrdYUe8rG2hxtrUd3tQb/Ly5wc/bBRpniQHl7Q7gumNRdJTkABhO0iL+98Prvpf6od5MX0N9ym18iCnwpx5n7/uTigT6gYCECx6Vq+GCw8xMUNkGJvQdVf59dlODxcZscN5c4k0PPJk1SlcPMtP7FANDEgGJuZqheGTGkwB/lHGubQMXPEay2Ouck2zgU6LHv9ZywWFrSlw013jdXOCyvcGyW6G0FRkHP2CLqrnGSBU40jOMZL5nOPzhGlKIjAHAiHIuJTpr0doWi6pG5xy8pw1GIqMx8+fzLvwsFUDHWdmdb6GKYRq5UrE7JIeFlRIigjAjlKbDTVPjLcY6bAR1KLm1w7YjAOrv2xXWXYu/qptb81Qf1gH0kmV+50gb77AxHa6ikfWbaos31Wb4XcEZtl2LddcOcbqKC4y1g+27lPF1KkPsG4rYJelznyqb7R8zp1CQk6xAaTvctPUHn/lfezFGGx7NKc1urBLMkwwznQ4LRPJIkhhF4JExRkBrlN/3bO3aWgKdTDsAiC+3a2y7Dn/fLG+Pc4ibAARIRt3l6Qc+531KMQKe+jRQB/KBbEGAde/r8KFnBQeDYg9JUrtdre/Qxw9vbYl2CC7hEOwbmyAOrNo1uOmWeN2c46K9wk23xNZu4zl/SPiHQC5yzNQUEzVGwt+fFvbeCgEheIRg4PwW1l/CuSUCLEIw4CyDVn+EZCcQfAJiOz0+8OR8wLbucLHc4vX1GqttPTCRnh6N8Z//cIY/PT0azIOF4APzoWdSRAL/rY3wO3NPiCDANYEAT47GeDIf4/nJBD89meGHUwKe9jv8RdBRriNQt2TG/PJyhYtVicvrLRIl8Q/PjuA/wETsmb5aSWK4PJnhH58fD74+5AFHz1LBGc7mI1yvq2iYTkbkm4pi798GG/q0tmfHEwLwrlucLza4WU9RtbHZ+NZmn/ZqkfG0qnC1KvGjptd5ejTGpEih5O1x7qL/0d/PF9jWLfJU4+nRGD9GwO7Z8QSpVmD98eyNy/KowbpqUHcGV8sSl6sSN+sK//BsjrY7DHgSgiNPNWajDKezAs+OCHgqEpJEkt/X7vjiZQBgJzN/uxgj1kcIDIxFm5Los4TefiT+bi8RE5wAT9x+i7srgMDO6w3+9uYGeaoHX6gfTmd4fjLBk6PRcM0xtpP0MzCsS/IBAhiuVltcLkuMsgTbunsHhLyrEiUH4OlsPsYPpxP8cDojKxS+e88QP+8+uYDzu9lJ++fxY/P/fZhK++ymr6Wsdyi7DsuqppTLIsM/nBzhx/kUPx5N8MN8GoO9qI5HOZmrc4ZRonEyLvDTPD7FGUn30phUebHewnqP8/jnJEvwfPZpkvqPVrzGbGwyKi4wUgk0FwiaFF8MbLAAeMx6lB1kP2ESYhqTAOKiJQADjfFjNO7KGrypqQN71Wyx7CieEEDsIit8iO0EkKGq4p8OKtzn9w/52c8Jctz3tT9F3ve5XvvtktEw04Z8D5QQ99pUk68WdVi2tsKiW+KiuUJAQCEy5DK7xaT6uqa5D9f+psAHj9Z1aH2LRUdMpxf1a7yuz7HsVoP07D7Ve3+kPEEhc4xlMZiLP6bHE6VHUpJaJlJoruM4h+h+8/EKCDDBIriA0lbUSW6vIJhALjMUIrv1mb/dcQ5oXYvWd1ibza1xXjxwnDn4EABQyAwjWZCXl0gPNpG3PqDsDK7LeugQJlKidQ6bpsXVtkJrHXq/OcEZxklCD7a9Af7qgeCAwY+JAIWeOcSiVyC/RUnnjJJFUyGhhXxv16j3TzKRiQlGEqaR1DhOc8zT93t0UJIVsa2eFmMcpTkU54NU3YeAddfgotrib5slNl1Lxu46JXlrlL/30i6it8vIrArDpgHA8Jo2+IGCLRl2i/C3jllyjlTuH/NXPq4fqf6Y+vNNxqVvyzbi+Mdr2A/MoXgOgRg04gcpg4jg3VGa4SQr3v/eYNBCQHOBk6zASZZDfyKTW0RpM2O9vYGH5TvvSRsscpFGFtMd7G1GDYNMZMhFSuBT9Hrq/R4PKReNzoUTWJkNrrobzNoJCpEjlxkSsTOE/ZbmbeD23N05g9a3aF2H8+YCL+s3eFm/jmEQ1b3DIIiJRx6bucwwkjnGaoRcUDLyXefq9rh4eLTwoYTzK7iwhvMb+LBFCBYhIoIhWDAIMBZjiz9D9VK7ddVgtW1ifLqI/j8p+dKM0oHNdF8wuzdrts6j6Qy2dYd11eJsTh4/x5MCsyJFkWqkd3ir5CmliR1NcqzLBperEtu6w6ZqUbd9Aph7ryxFSYE0UShSjUmeYhwZL++rPpUrTxUyLdF2ZvAtel/CmI6yq6fHY2zrFuc3G5R1R95UVYtN1Q6ePVJwIgVYh03VYFu3KGtK1lNSYD4hH61Jkbwzx1nnUTUdFpsKm6od0uuuViUyTWyju3x0Xl6tcL7YYl02WJUNMcacQ93aW+mBHyrByVB9UvSG4Rp5opHekdr3sbo9RgEsMGI+vQV4sP2vj8jE3l8BrXFYVw2uVxVaE0kZDHhzvYYUDKuyee9vbqoWLy5XuFlXt85d2XTojB2kgR88ztgMLNIEs1GGSZ6gSJM70w7vWx9bt/1a+9PPXcTs92iimX6mFI6KDEejDNMsxTjR4HEt1DdYKSlut95SkaUpOXlhHY9ylC0FFVxsysim8vjpaLan8PpMxwNiszeOrAJSIUnGH2XzEnzwy3rsEXk06kJP2TLeIYQwIMzOB7TWQlvSRX9IArLpGvx9u8B/W5zDBTL+nuk0xkTTAAIfxJ0wkhonaYH0Exdnv9eXLcklUhBlnBagCRSTcHBA8Ad5FfXeGgFAZStcdTf4e/USNlicpcdIRPIg76ivray3WJkNAWvtFV7Ub/Cyeo2r7gYb88CEM6aQiIQWtLJAIXPk0bj0MdHvHmDkjCMXGYGMTMHCwQUc1AEezPtB3eTr9gYvqlcIIeA0PUbCFcRHkj++hfLBYWO3WHQrXLbXeFG/xsvqDS7ba2zsFibc35hWcYmUJ0hFgrEcUTKSzOM4Hwg8OYdN3eJ8vQVAHbJMKTSGdOxX2zLK8GispOCY5RmBG19ZV+vQCsAgJ/7QAfTU8z1i/juv0z/PJCdJ10hp/GE8w/90dIY/TubvfV2OHfAzVgme5iNKoAvkNdQ5i0VT40W5wr8tr5BJhefFBM+L8QAISc7xutzgVbnGm3JD3gTvPDc/tqh9z/di9/Pbn1mpKOGW3ZJgfLTeWefsGnE8RhfnSuHH0RT/5egM/zw7ee/L9ACV5ByFVHiSj5HLT9swEGipwRkffBt98Ei4xsgX8PCUjsbvTgEi+SHJj/abBorLwaT8kOo79p3vsDRrvK7PobnCWXIMzk9uAU/fclWuxqJb4qZbDqDTq/oca7NF7d6/6fxQCcaHeXsS5+2RpCad5HcDhruKErvQwPklrL+G82uS2QWDAAe88+z9fDN1CAHGWlQxwS4ASKPJdZaQ15Dg/K259PDyUX7VRQCnMxbGEkiUJQqTPEH6Hi+b/RKcI9USkzxBnmoIzmCti9459GUiYCbFu8BTnhBoQjLBu5+tJO2KTIPIrPF+x0x4e07WUmJakL/RzaqCjn5AVdNhXTa4if5QRZZACo7WWGwrktityxZ1R+zwVCscjwuczUcY5+9K7bwPaI1F2XS42dTYNh3UusTNqsLLyxVmo+yd9LO+ViUBiquyRtl02NaUUthZN8i6P7bBFZwjTSTGeYpRlpAU8isFKfYrAIMP2bpqUBuDZVnjailxtSzx19fXKNL3z3NNZ+nclQ02VYOypvujNXbYT8d+1QdLK4Ei05gWKbJklwr3ex1exBL0g/elFBy5Vkjk+xtsnJNUUUkyQ3feo7UOGjsGXqYU5kWGsjW43JRY1yThLdvuk70cP3o8EXiqrEHrLLQQSIREQI/f8OgBJcAe2XPqcRhP0VjMuIjIY2cg5gNFQrbGwni/5z7/bq1Ni79vlvg/r19hpjM8zyd4VkwwVglGKkEhP74ISYTEaVp8sr/T7/VlSzIBIVIorlCIDCkn1lPnCak9VEnkQR3d0tW4am+oi8uAVCQ40nOoR7Q5+1JlgsXarvG6OR9Ap5f1G6zNhmQUD/WNECkmcozRAEhkuJ0h+elFUdC0icllHr2eJOAJdDrUCqgf59rVuO4W0DVtzrRQONIzvL+3+G2Vi8DTm8h0elm9wcv6DRbdCg7uQYbifZLdaG/zUtxznK33WDdNBJ4CMi0xy1LUxmBVN7jcVqg6M0iOcq3xtKOkU8EOWDV9VbXP5aXqu6Fvn64edKLEqLs5CH2RV5AcgKf/7fQ5/tfjp+//GKx/XzYwchQXMJ5Ap9Ia3LQVXm7X+LfVNf40nuN/Ps7w/zh9jkLpwcj6r+ubg0y395kSjO1kLe/5WNhPlvmWRvZ91Qdj9ImwBwFP4dYf7/yj4AxaSOSSkgj/68kz/L/Ofrz7M7Db4/ypfgsipsQqqFufcggPQX/N3v0+HHwAmgqZIxUpEk7JpBTMcpisO/TeUt5g1a3xSpxH+QvHRI0BNf6kY/1aqo7rjxc1PZtfVK/xujkfGGf3Lc4EEqEHhuooNocykeLj0AyBF/R8rQl4ctcIoYIPNQIMdtdFf6N/3js5AOiMQ9WQSXgIAZkmtlOeKGgp7gQ1DikfiO3Umeg1GFk/vcH0JE8G36i7SnCGVEuMswRFSnOodX4AnShW3g2hGvtF7C29Bzx96B4mFq0Uu3vdeQ/nfGS43P7pRAlMR5R09+pqBS0FOutvAU8AgV+ZVgOz7HpVYlM15BvlA1ItcTTJcTYbIdXync/Ykwi2TYfFthrYNoz1wPzd4VG971KfMua9xyhLYCwlnYWo8foQ20UIhlTTWI0y8pL6VpYOxnrU0WS9NzGnZ0GUWt5xbfuAYdxdoD+9D+gia6pnJ/ceU+8ttvMpmxR0P0n5O/B03wqBAlqsI5sIKeh+SqP09+0pcliXCQKlrPforAXnDCoQczPXCvM8x6Yhj6dV3aLqDLGgPjfwFECepbZD7Qy0EQNu0jc1FedgnEE88jPgUXbdPfVQRtp9P3mQsbgA0gTjRCOV8s4bDCDad2/CepTkmOgUPxYzFL2XxAGdvl6n+NhmWN9rmc7CtAZdYyCVgEoUdKJ2Gt8vNLP3pqcSQCpSjFWBmZqidBXKB8TFd1GexBmH4hIqLpLHaoxMpMhEChGNqD8lbfCxa59GSwi1pVScYNC4Fq1vSXZVX+B1c4Hz5hI33RKlq9A9gAHTVy4yHOsjPE1PcaxnyGX6qBK7vnbmtkAaF9JzPUNpK5SugnX3G2fjLTZ2C9EICEapS5JJzNR0GGfJxVc3zsDtse68gQkGxhs0UUa5tWUc53O8aS5x0y1Q2hJd6B78nplIcZTMcJac4CSZIxf5vcc5hJjO5igO+mpb7RbMIWCWpdBCoDYGtbHYbXx2W9OvZxTuLsZ6hh4xgzgYbPDwLqBxFo216JwdOkXWU8LZqmuwNS06797ZjEvGkQiJXCpoIcDB9vx1yOSzNzC/1Y2PIF4vRu0t9EMIsNEQnHyG7JAomAiJiU6RK7UnEWSw3u3S8xgBWHtHTdK5eMwsHpf1Hq210X/RDibbNvTHTF5GbWRAf+vVA4ts97d7lehZTlIj4XuSRiBu3vpx5hD7539/nKO081Mtt/fn3Nv/cJ8XQfwcNMcWMsdUTdC6juZt++61/qGi5lCFm3ZB8sI4bxtvh3lbc0UeLF/xvG2Dg4lzd+s6NL5F61q8aS7xurnAm/qCmMh2S/5WDyzNFaZqjLPkBGfpCSZqRCEs92IjMzAocJZBsAIOASz4yDKO5vLsVzJ4D7ftOgBiDIg+kIh92lq0b3o47+G930mUYoN8/33urMHrh+/54kTQJHzY56ZnMOkod/soU6cH7uOcs3tivu+1ORJJ/rlFlmCcJ5gUCTjnKJsOb27WtMlNFEIRULcGN5sKF8st6iixI+kapdH1wBh5Jt0Gpr0LsJZSJ/OEDMQTHf+8JxCUpxo/nk4xyvSBHkEEcPWSQU7djcPf8Feu4dwFmt+c87DOI9FiOF/9+VP3ZCD9+YcTnEwLYs4dgAlwxgf2jRB0pn2813dkEDY8G/r0cnru7QIofFSbsMhp5jEMA/1rsGFlPdyvfSPCx6Tp/ZWfYLROZ71EO/TrHr57T4ShKdLbNez+O8T1FjH0P7eljeQcSu7uDRPH9H0m74KTxDGNCYi1sVg1LQLI800JEc3td55oxrlhHvw1lk0iWjtwT4m7W9PCeDesYVOhMFaIPk+P976PRvfoJwTt/eBzwADkSmGkNUZJgiLR5NV0x2v03VKSV2mcZiP8cTxH0nsr8I9viPoEGvkdSKh+jTKtwWZRYrMokRUJRrMCUtOm6mvZDSZcY6rGOEnm4B1D5w0a397rNay32FiSnfWHZZzBaXqM0+QYIjmCYipOhF/Jgb9VxOhpsLXlILladCssDFH4b9oFVmaD0tWwD4hl3q+RzPEkPcEfix9wkhwhFekjHcXdlfAEEzXGaXIEEb1G7itDsMFiaysyrwbNJ8YbnKUnOEmOcJocA9DDA+9rrIAwAE0bU2Jh4jhHqcZNt8DSrFHZ+pPARQDIZYbT5Bh/Kn7CaXKMQr7fU+iQzxwQ0BiLy02JquuQa41cK/wwm6DsDG7KGqGq6EH3ld5jHyoGBiUE8kBG4r2JdEBAbU1MH7PQXIALYh9tTYerpsKybVBb885iQnKBTEoEJNRtYjsz71XbYNHWKKTGKLKU+vKgMI6+K0a+hhSD6+P3XdiZQ6r4Jflu0+MCfe5F2+C82mKk9GCQPRxzBEQySccsGEPnPRprB5P11lkoLsCEgPWUvHfdlFi2DRpr7gVAfK8lOUcmFJimlF/OemP5DuuuxU1ToVBJHOfdvBTQ2xg4ovdHcFB8LQ9nkFn5SOY41nNK1OzoOXWf4MqAgMY1WIDAG874kEp7khzhVB+BqxEEBNgDjcw/d1FjyGBrS2xtiaVZvzVv01dpqwfJ6/ZLc4W5nuHH/BmepWeYqPE9JPD9+pwT6MRnABiYl+Tq5D1J7YLFLtuLjvCzyu3e8yl3TNJPfN9opEuyrr336rGBcFv2/NEPuO9NCJChNu/Bq3c/67587qMA1z2LR+CMMYY8VZgWKU6mBbQSKBuDl1drpFphPs6BAFStwfW6wvnNFm1nkScKmabfyzTFufO3fHIHjlw8h1oKHE8LnEwLzMcZZiP6EvcAUBIp8MenR5iNsoEd/KHqwcfeSPxbYdRScwED2DnOEpxMCxxPi+G8Fdn9JMVnM0qm01IcdB4Yi9dJBEzBCAxywcEF8sEVTICeLCx66foeXgJnnNYVwcLGeUEyCQGJHpAKCOCBRwDo9traBWqYW29usfMTnkDzBIJL+ODiuj2AQ1DCa0D8vo3gVc/U3H1prpGIz9MY3y8eWYhpTC523qPqDBpraR321vQoOUciJTKlEBBQtR2WZU3pjJrC1kJk//WJgt4HBLYD2T5nsSijS4WMae8EPJW2G5o7I5lAMvbJ8v6363EYTyD9LRiDFh4iJu0wxobNxzhJUGj9QQ019h5zudQ4TQv8aTSPC+XDJ+vHFQN932Vag+2yxPWrBcZzAp2KaYYgvo4YegYWfQwmONZH6LzBxpb3fh0TLKwtUdqKOpLeorQVGt9CMI6xHIGL2P36Ct1J+od+4yiK+bK9wav6DV7Vb3DZ3qB0FbaWIpk/lkj0sWIg346z9Bh/zH8cWGGfuxKuMVEjnOgjGG+xfcA42+BQ2opAGdfBeIPK1mh8CwaGsSyGzsjX6PvUd30a15LZbnuDV/U5XtVvcN5eERPMVmh8EztJn/ZwykUPPP2IiRrHtKsHfvYAAiQ6g/N1wOm4wJ9PjvB8NkHVEUBWG0MLW7ZL8em7al97McagOQeTCpkk1lAXO0WVNagsLUKYpC6S8Q6briUQpmvQOPsu44lzZIy8RZIoeesc0Z9XXYNFU4OlJMHbl4v2XbGezcSAuFAjOrjZM7EeQKfoFcTBovl1QGUNlm2Ni+r/z95/NsmR5Oue2M9lyFQloFrMzFG7Zrxco+0L0ozfn2s0o3FJ2r177xFzRnQ3dKmUId2DL9wjKguiG0AD3egZ/GeqCyhkhfJMF48/YofPcuwrmzsCEUAlHTaRJCL4VUSg7dC30z0HqZ9n3zVc1geum4qq794LgPhbLS2C4bpRKkobxeSvsGlrruoKAKsU6VGE8sBAP/jAlhtCvL0Sr9P6f83SUlOonBO7pHI1B1cTHL7ena06MFC5htq17PuQRFu7hkNf4QZPJtOw+SF/XAL4a9X4uW4j8HTZXvO0ehHG6Po5224Xx+jD0e79h5eVlpVdRODpPnNTvufCS0AEnpBMwT1+6BhEC4yAsfzV++aPcfZxXB1NxkeWxxte+BPHecNfhJgYpFMi2islialo6u2v+dASIvjNoCBPLIsyAE8Ah6blycWak1lO3XYMEBhP6wPPr7f0zpNZc0cG+DaD8BE88T6YiJ/Oc37/8ISvz0Oi3cPT+WuG5D9WUgqK1FKk5p3fYqM3TlDZvPOpfrW6C9iF912ZJTw6m/O7Byc8is9tNXu/BPbEaorUYM27bUEIISZwFDF+HvwECA2DZ5DBeEQQQH8fN+mVDDCBHxy9DyEJUkgGOUSmkp9Ao2BlIpC8Cjw5Wt/Q+BrnA5AEMOgBKRRiEAHUihvmWoaxLox/gfnvBjcxp9z45XucypBCYWXySdesUoSNx9ToCDwNVF1H3fXR9+ku8qQiEzGzJgC+bcf1oQ4gb5YScmUjo/nO1xssIj/F/XC7qdh6RxMtGpz302301lMY86Pe3B9SH43xFN5sIUK6SCwnLqO1ltSEGOLMalId2CRv63RvPS4SjJS4YWDft1gZ3OHfNWXpQ6ttOtqqo6lblFZoo9BRvyl1WCxV+5pq14TXKImMOw3eebyLOmwX6LxSSdIsIc0tJjEoLVFa0bU9h21NtatwvZ/outoojNUYq9E2nFsbRbVvqPcN9aGZBk0QpIUlzROSzCLjtfjec9hVHLY1XYwpFYRjJ5nFZvbOrsTNxZaXP1zx5M8vmC0LmqqlrVpsZsO1xOvWRiGkpB7vv2onKqmUAptZkizc50iRdr2nPoTr7js3XbtUMtyj0ZhEk6QWm4YY1rHGDmQgyr6SsJs6SubWYjOh3+/6kZhYGT4s6gcCI6D3gSUzJulk0VvKCjOZLI9fo9fH8Xv4XTq742lOmAD5KfnIRQpq8HtwODyd76eOOMiuelrXsu42rLstN92ai+aay/aaTb+lcS2t7yamz4dUKpMga9AZ95IzTuyKeQSdtPg0XljHzy5TKSd2SZsHKeGm36HbmwlIe9fJ+vjaxrds+910jn5w7N2BmS6nNCYrDSZ+jSlBwcvl9utN1/pj557+HIGh492Zqa3jblPv+wCKxu+d74LfSbdl02246bZcNldcNNdsum1IRvLtz2rnRNooX8m4l4Z2Xph5lCG+fzubaBb+9WpOkRh65+mcZ1VknBQ58zTBKEnVZbTOscyzEDM7jgW/AdAJ4lJNSLSEXBvOs4I/zFds2obGOf7j5oLL+kCmw5i361peVnuc929954RNFYmRcJLm/H5+QtV3zGzCuqn5t5uLiYmUqgBIjOaPY8parg0zm0xS99EnamYSZjb4I3be83i/5n9/8STQ+uMO/+PdhtY75klCFnfyXr9nMTF2zrKC389XXNYHOu/5z80V67Ym04ZUGQ59uOfe+1fYEm+um6Zm3VSs25pD101A2A/bNdd1xa5reLrf8m83L+kHP8nRUmUojaUwFnu02Dn0HZumDseLQGDtev68ueJlvadxjsv6wJ/WV/x/0idhXhGPWZqEmQmWAB+7xg0NwcAqyfjdbMV/OX3A0mbsupZ/n9o5mRhnYzsbqbDxnuc2mVIJf8067gutNCzsnAfuHq3v2PcHruR1kDQN7+b1BLf9dj+EYyihpl6/djUnzfI2RU8FL0AjDFrqo347jtHcBed+qu++c40D0+66PxqTx/47JDyGvruPfXbne7qhY9ftWXdb1t2WyzaMzzftmirK4j/Eb3EsLRSZCvOTB+k5Z/aElVlQ6mAE/06pw0fPYQAQCoFF0MO0WBzHFoVAEZYon7aPFiKsHVJrSKyhaXvqrmNft9RtT+9ckLNEIv77Ajej1MhqjTUqpLwpFTbz2o5d1VBmFvcjKLkfgkfUrm6p2i5EkGuFNTExLhqgv43N+7H9MafjHp0vtZplmfPwdM7mUHOoW262FdfnFYe6DcbFVcvV7sDFes88T5lHhtSiyAKQccx0OlpwSimwRpElhjb6Y7nod5MYzTxPsebd12hj2ppW8q3nfMMvRRniO5/m3UsAw8gIusvzu+WfvB8TZVTxGBWM6fM0GHsP0btJSUmeBrDwfUpLObXVu34WgnBtoPMtB+cZusME4ACYwaCFBQZqV1H7GoYBIy1WWgYGWt/QDi1aGFKZ4pWn9x21q2h8RaYKSj2nfIUh4wdHP3RxY/xIctfvaH2DgEmiLBBYmZCoFImYrnE4kundmU+/o5/gzy2tJIW1nBTZZDlwta+Ypwln5evAYWo0yzzjrMwZGHix2XFoO3ZNw65pmacJ14eK633Fs/WWTVWjlaRMbWRFf+p5cQDLjVRkymClotAWNwxTAm+qwtj6sS/l4wFPjIigZJYkExXNSDWZ5I2axrdejFSkR5PoxvVcNQdKk1CSvJPU7udUW3dsrndsr3bY1JIWCVmZYqzGohFasV9XXDy9ZnO5wyQRmFFy8krq2p6+7enaHmMNy/MZq/M5xSInyWwAbw4NV8+uefn4mrZqwy7CMJDlCfksJZ9nZEVKViakRcL6YsvVszXXL9YB3OpDFOfq/oKT+wtmJ2UEiTRt03P59IaXP1yx31TTGyYtUxanMxZn4bVjXb/Y8Pz7S374j2eUi5zDruawqynmGfksfCW5Jc0t2mjWF1sunt6wvthOkdvaaBanJYuzGcU8Q0fwrK07rp9vuH6xpto3EZxzmMSQlSlZmVIuC2arApO8OYlFEICns+QEKSTbfseL5hLznslnxxXYTnv6oZ8W+U/rF8zNjIWZMdclRTTrLHROIi2JsiEyWmiI/lAfWp44cR36W88m30XvpgAgHfqaylUcXMWhj99ddfTzmoOrqCKbp/ehY/45lemMM7viNDnhfnrOiV1S6mKa2H/qylTKqV2hhWbb7bhorjDS4LyjH97PMwSC7G7fV/Qxsnvb73lWvWRuytDOZhbNtIvbdo5fAYzSP2t33TPgfD/5frRxgTK2ces7Khfbs7/b1tXUvvXU9pWrJ+Dq59RorH+WnPAgvcdpsqLURfQ9+wDgSStOixwBnJcFnQvppoW1nJUFRRKYrie5YxhgniXk1k6bEL8N2CnUCBRl2vAgn/EvyzOeH3a0vud/XL8IaVNKk2h9R7KrRm+aV443jpsKwXla8C/LMxKlqPqOm7bmebULwIi4XdAMQKo0p2nOWZpzlhXB38PYaQdLCcEiSZnblLlNaFzPXzbXXNf1JPeQQnDog4nlWVqQxvjft91zqjX385J/Xp5R7jf0g+Pfr1/yx+hTlSp9xwD4XVLgrpsDf15f85ft9cSi2rUt3+9uuKwP7GLgiJGKy6qiMIbCWE6SjAfFDKPkXeCpa/lht+Yv22vWTWCZVX3HD7s1zw87atfzotrxbzcvg9G9Cey10lgeFXNEMf80wFN8jgI4TXP+aXkaNrL6jl3XcFHvIyPtrtTbSMVpmnOa5ZylxZSE8xGnbj+7TPQbEgga33Ld3pCohG7ocfDeqap+GKhcHRc6LYc+GHPP9Nhvl8x0OY3PmUqnMdpIE7yO5Icv8kfD8xFcmsbm8WvoaFwzjb9j/7zv39xvH/oqSlQ+HHSCwCxbmBmnyQmPsgecJ6dxYyikzX7Y/UpC76NBSOKoBXFTjui/8k5GMj+nRLDqyBJDngTgqWo6lJIReAoLzQ/1ZZTRCmSIIEliNEYrvPccmmD6vCizH02Scj6AVNtDw75ucRF4SowOQJaWk1fUr1Wp1axmGY/O5viXA+tdzYubHTe7kCbXdj27uuFmW01pd/Mi5cHJjGWRYs2b+5VR1ZIYTZlZDk2QjR9iwloAn8KzeNcSgjuewJ9DiSjrFBPCOUz+Y29lyb3DMcf3dpnZKc3vUIfkMi3F5AP0riVHM/f3vpoAHu26A40KsrZgdSawQ4KRgem06W7YdGs8jlRmpCoDRGQftViZ4LSLmwIHNt2aTX/DypyihKbUszvnDPL/ns63t0mq+MCA6voJlGp9i0SS64JcF2gRZGojBUiMqGPc1D32hfrUZZSiTC2nZU7ThSC1q92BVZ5Sx9TmsQSQGcOyyDifl2yrhmebHe3VmptDzfW+YpYmXO8rrvYHrg8V66rGKMUsTUjNz1t7vEuNnz8tJZnWk53RMEDtgm3EsZ/px6yPOnsRBCR2llhmiX2FePYOFyMkmdLMTACZWt9z3VQRAVUUfNpo3bbu2F7tePn4iqzMmJ8UoVMcQOnAKNptDrx8fMXz7y4DMJVblNE0h4bm0FIfAhuoqVrSLOHhH87DJF8Fd3hjNc2h5fLpDd/96xMO2zpoPJ1ntixYns9YnM2Yn5QTa2p9seXpn1/w9M8v6FpH3/YIJfjqH+7Ha1MkeXje9aEJx/63J1y/2Ewd6eyk4P63Z8BAmieMHc7NizUvvr/k8R+fk89TDruaalezOJuxOJ2xPOsp+nz8rE/X8vyvl/iYUmhTw/1vziaDtSSzDB6qXcPV8xue/OkF2+s9fdfTd46sSJidlMxPZ7jeYxLNbPl2qmmuM6y05CrlZX1JGePe8aHzet8+px96dq5n5w7ctJtpp/TELji1J5wlK1Z2wcouWdkFhcrIh5xBDSQK1CDhZ8i0/DBMoFftGmpXU7smgBC+popyuk3cOR1ZTptuF1lQt7sUHxPpz1XKaXLCN/lXPMjusYrA0y9VI+NmZsopAcgKQyuJu+fvd7x+cPQumJTfsOFZ/RIlFEsz4zRZcWpXnNglK7vkJFmSq4xC5Qw6MvmE/Fkd5BB3xlvfUrv2tp1jG1euYtPtYtuGdr6J7X67o/7x2zlVKSfJiq/zRzxM73Fil8x0+cHHsyoAT/M0oXMufvlJy54ndjLPHKnKuTXBR+Jj3dQvVEHSJiLwVOKHAas0/3b9kn+7ecmubadY2lWScZ4V3MtKtPixnfAw9p1lOVpKTpKM/379gif7LX/eXOG8px+CZ1N4GwzMbMIf5if8Yb4KknZjcHGHKosg0CJJWdiUmU24rA/8eXPNoXtxJwVvkaQskoSzLH/rfvzxPd/PS9zgsUrx79cv+bebC26amiTe88Km3MsK7uU/fs9jXdcVf1xf8v99+WQyaB8N2ddNTet7vt+uOXQdj3cbVmnGSZLxqAiyjtM050iZxj4CT//t4hkv630Es3pumorrpqLuuyArHDyX1WF6Rqs0TKwXNuUsez/Zw7vWyNQ4STOkOOU0yfnv1y/4H1c7/v3mInp2hd3GsZ0zbW7bmcC0W/kPl8N+irLSsDRzSl1QuZqn9XMSaalFExcF7we4jKzkkZn8UlyhhIqBFyvOktt+e2UXzE1JrjI8eZhzSoHmw32gAvDk6XxH49swRvc1lW+o4gbArt8f9dtj372lcc00Rr8PS/ddygjD3Mx4mN7jq+wBZ+kJCzP/WfJogWAQGhiBK09oL8kISv0ijCfAaEmWGLLEcL2tqEZ5dtvRRcZTMJR+/+OH1LXAhkusxho9MZ6mmPumC4lVb6kAPPVsq4ZDE5LgjFGkR8f7Ocl7H6MSa1iVGd3pgvUuRLO/vNlxs43AU2Q8XW8PXG72fH2+YFGkPDydsyhT7FtkdhCeYWI1RZZMsrGq6WjaEBiSGE1qPx9A/H0rmGrzBsbTrePOhyiOBGHekyWGIktQUgbmWR3eb0rKX+y5jf6hXV8hu5bRw0kJhVNhXdENLTfdFRfNC/qhp1AluSqj714AidLY5wQywIar9iUX7QsGeAV0Cs9t9IfqfMv4ZD2Ofb9j3++o3D5I8Vy0PjELZn5BIlMkMiqqIqOVEawc7cc/bj/7thpJNadlwc2houl7LvctZ1VOPYXm3FZqNas8496sZH2oebbe8my9DSynQ8UssVzuD1zuDlRtNwHY8wg8/RJ9iRQCIxRSicCQNwkIEbyeujYExKmPz776aKl2b/z5ex7HRS+Dg+t4etiw71se7zcsbJgczk06pR+87ZyJ0pynYbJfmvcLUffO07U99SFI7bomwfUuAizhbdW3jnrfcNhUDN7DMGBTjxAiyN5yG1MuhmA2qCRXz9dUh4b5Scn8pOSwrXG9wySauSmwqcVmZmIYFfOMbJaQlyk2MRSLnJMHC7z3UXLX0ndhMrffHFDP1QTc9CPzqgkyu3yeUy4yFqczVg8WzFbhfKPWopjn5LOMrEyYn8w4e7Ti0T/co1zk5POcYpbhvWd3c6DvtmxvDvjeY1Id70+gjaJtOi4eX1Ptalb3FqzOBa53tHVHta3xzlMuiyMmVWA8zVYFafbjNHEpJEqCHSxLO+dR9oDat9xEY+1df3ivdr7T5jHVQTJwcBWqC9H0e3fgptvwoslJZEIqLVbZSZqlRZiohV3scO3TPcRFw6jvHr1sxr8FUMFNNP3bHdWWJn5/nelU0fpuopd+rI7WSkumElKZ8jC9z1fZA77JHnJqV2Qq/UV3o4QICwYkLOyMh9l99v2Bm2iuvel3H3zscRd7YODgalS3nczab7otL9tLUpnEnfMEE2WWRpqpv5FvbOfbgS80++3f3GjG6PuQLjbtmkfG09C+xnQa23mUXX6sdjbChHZWKY/S+3yV3efr7CGnycm0cPnQtg6pdp62d+yalnVVs65qrFacFBknPsf5gUPX0fQ9SspJM/457Xb+VB1fq5aS0iac+7BrqIVkmWRUfRdNvBWlsWHsSlIa1/OwmbFua343W3GWFXeSmoZhmCRyAwO/71coIbiXFRP1+Vhnn6kAAt3LS+5lBXOTTj6LEMbe0li+Lhd03rFpm7CL1ffRjyTEOBc6yNVyY8Z3N0ZK7uclubnbLysR5GjnWQAptZAskox9107G5YW2E5jTecfDYsa6afi6XHAemVnHtUhS/jBfAcHbakzjO/QtVd/Re09pk0mGNsoOT9KckyR/jQWdG8PDYk7teh61dUz2C2btu75l37UU2jKzQYqYG0seGU8P4j1DAOaSCN79w3wVEnddzx8WK0pzdwNs3DFcJCkP/TxMvq0NAFxWvrarb6WiiMf4drZEAsskCz4gI8AYK5GKe3nJ/bzkPCuZ20/P/H7fCuOgQiModc55csbvi2940VzEMXr9wdLgUVYxLpi2/Q7inzf9jsv2ikxlU79tpZnG6NEg9c7/hIg76LdjMwzTLvzxImlKqDtmO8W+u3Z3GU17V9G4hm7og5TkPVnYbyslJKlMSVXCqV3xVfaAr/KH3E/PmetZlEH8nD40LD0FBikXGPUQKQpGhtNoPh48oD5dXy2loMwS7i1LqqZjV7U8v95StR3Pr7b8+/cvqdueWZ4wyxKs0TFhTtym4bkjHyeCefWYuMY0dgdz5wcnM769vySxmvW+5q/PrkMCldURBLuVgHV92Ex5eb3nh5drvn9+zfX2gNGKr88WPDoN4I36yN5NH1JWK2Z5gh8G5hfpJGnf1w3PLrf88fEFL65Dmp1Wijy1LMuMk3lOkSXBK+qoju8nMZqTec6395e8uN5Rx3S8p5cbVrOceZEyz9PpmR8/ij6mf4Uo+ugeJgSpNaSJfi+m1CcrccvsGt8LVdNRtz0X632QQBk1STLH27tNH7w1Pj82mR8GKHPLw9MZN7sVddtRNT3PrzY8nucsyzDPTmwA7o7bwPthem5+GNk9oZ3TaAr/fm85ESwlpEVK6OM8dPBhM7yTbdwUbxmtSMZnc3uEIH9rfI3oBbULjM7pZeLVM4IUCiMMViaRNdXTDS1+8EghsdLG19i4yVCSygwlNP3Q0bsOJTSpSjFR9jeun2w8zqeuxGhOy5zfnS45K/OQ7us8X63mLPPX10qFtZzPCrz3VG3HvmnpncfEtMmm66mi71qeGM7KgtMy59uTJeez4kdB4A+t4WiOUfUdF/Wel9WOxvfMTcrMJAghOHQth76b2N+Z0nfCK35uP/cZfNpva5zcHbqWS9fxw36NH4Yp1afQNvquiLcicAub8V9O7kf6/HsCT97Ttz3NocVYTd/2uD54Ng0ReXJ9T1O1HLbBDHTU2CbR4yjJgl+RTQ1957h5ueHq+RpxsaHeN3RNj+sdrvfh9XkysYuSzGKTIJkb5WraaGarHO89JjXsbw7s1hXVvkZIwX5T0feBGq0TE+6hc/Rdj5SC2arg/jenLO/NmS0LymWOjjrsASiXOeUyJ1/kLO/Nuf/tGV//80PSPMGmBmM168stm8sdm8sd1a7B+4E0SzCpxiah46v2DReP96wvwgImn6V45wPwtK+RUrI4LXn0D/cpF3m4v0RjUxMkiD/yRhaEhZKRhpVd8FX2gIGBH4Si9jX7vuJDOSHjbwUQorkFI6YJrI3yh9H/58hLgvheZEwqkbcI/EgnnVIYjrTJvO7748bvuGm3tTvy/el8f0fn/LEqlZalWUzP9avsAV/nD6cI61+ywgJGohEszJxH6X384Pnh8GSSyn2Mdm58w9ANNBF0GhcrWiiUVGiho5dX9PWK1/V+7TxGyPopgnZq46P27iMg1R3JLvvBfRQD2uNKlGFh5qzsgkfZfb7KHvJ1/pBS5T+7nQdCDGzd96zrmqfrDU/XWxKjafo5UsjQR7QdVRcmvD8mafgtVABhLFpIcmM4SXP+MF/RxVTXyYgyUpWd99Sup3GORZJymuavMTJMBCSMDKmsJ2kAdcJi+I57WHitthTGkOsAHJlXfH9Kk/DNbMHMWhrnwkTJ+ynhRkSQyaq7ibFSCGY2oXjFp0EJEVLXREg5OUlyfj9f0To3mesaqUh0YFyF8dzR9D0zm3Ca5q+N2ydJjlgITtMcN4yedwOdD6w5z4CVCqvUne+jJD95RRqYa8vX5ZzSWBrXT6DdeLzWO0wElcb7NlJipWJmU0pjJ+Z2pjVCpPzD4pRlmuH8wHlWUNq7wJMSklyHxF4rFXOb8HU5J9eW0zR/LW0stF34LoVglaT8fn4y9Se3n4wBJSRFnPuMbf05Ak8qxl8XOud+ckrnO4zU+MGz7rbRh+PDanwuY2JcG8eCqd+ePJ7C5FjFflzd2SmX03v+eINgHI/HyO9bs1c/9d9jfx18SmK/PfryRW+nse92H3l8VkJR6oKVXfAgPQ/jc/aQs7gxpH6296IEBoQwaLlAYlDqFBj5BBopCoT4tGoDNQJPq5Kud7y43mGUYle1PLsKY8muanlwMuP+ySxKlhRGBUuPtnO0XY/zwcTZD55ZlrAoszughhBQRuBps69ZH2o2+5rr7YHEarLERN+dwNQVQnBoWg51x9PLDd+/uOGvz2/oesfJPOf+asZX53PmRRqMm3/lCsBTitGKZZlO97OrWp5cblBS8vx6S932GK3IE8uyTDmZ56RRfvjWY5tgKP67+2Gj4IcXN1xtDkgpKfOELDGcLXIWRcaiHBfiQVlRtz11G0CcIW7MSik5mWVImX8WwFMATcQky0ytQauWuum5uNlPJuzLMrv1oYpjvZRh/NNKYnRgkBwfOICdc+q25/sXN1xvK7aHhnmRUqSBrLAos5AsmASj/2EIgN343HoXCRDRoHw1y0iMes3I+6dKCY2V4TPnovyt8y3d0GK8iR6zLTBMa+07IP4g4jy6jgBUAJ7iDPkNTNMAdhlpsUOPcy6amgdwSwmFkGnQM6kgKU5VTiZzBjxd39L4BiM8qcqwKgm/3wdp3mg8/qkr1ZqzWY6UIWBlJKMsspRVnr22hs0TwzkFiVaTt1Pbh/nQvg0gVJiLwSxNeLiY8fuzFV+fLLg3K0k+geR/AHrvabwLEv9qz/f7G3Zdyzx6giohA1Pc9SxsSqoMqyQjbMl9nPr1P+1H5YaB1jsq1/Gi2nHdVFw3BxKlyZQhUTpECUv51ujYwHSy/L48ee/zezfQtY6maklSQ9e5yHgaGHxgrPSdo61aql09mWhrq8nKlHyWMjspmUXfosO2Ynu95+rFmrbp6Nse74MnknMem1oWZzMefHvG/d+d3fFeGju2IbKSlNHks5R1ucOmOzbXinrfsN9UHLYVNjHk8/ChcL3DOY/Uktky5943p5w8WJJkBptalL59dsUyp5gHltXibMb516d8/U8PUOY28nxztWN3c+DF91fBO0EKktySRQ+skRF1+ewGgHKRcfbVCVIIuqajPjRkZcr8pOSbf3nAbPXusp6xswMCE8bM8dmAlprGNVy21yixjmyAD5vc3ppRBwPQn7wmbtPvjg3HZZx8jzu0E7A0ARDDR9sJ/RgVEgPTAEak9yMgEcCnX6NGTbNkCJKCzGOlofUt192aC3H1kdq5DUDWT7z+uJ3lken4uMga2XJ3waXbRcvnUgJBIhOWds7D9B6Psgd8ld7nq/QB+iMsYv0w0DlP3XWsq5pnmx1/urwmN2HSWyQBvG36nqbvSbSK8bN3l2gfe7f4R01Kf2YpEdlC2nLKh0uzjq9xTJ/LtWGZBDDw5zyTkR30dbn44GMcl5KSQtqJrfMxapVmUeb2caqIhuNf/cx7NiKAUqk2LJOMf+Dt8wkd2V454bU/eWwVjI1zmNr5t1zjGC0FFDrnPD1DS4MfPJtuxzP5IkqlPwxMH3+nG3o617P/iTXGOF8YN4gU8s4YPQF8RxsCt0DTLyPbeJcaI8tnpuBecsqj7EHou7P7LMz85x9/6lsC6wmxQMmP01e8b0khJ/8b7wf+8uwKaxRt1/Piekfb9WyrmrrtgrFvn2GjNKV3PjJTgiRvjCX3fiCxhnnBlIAmBkGZWx6czGi6nj8+vuDxxZrLzZ4iC2wqoxWLPGVeOJSUrPc1633N44s1jy/W/PDyhtQaHp7O+eZ8waOzW8bTr13GKLSWFJllXmQBeFIqAmdb6qbncrOnaXusVhSZZVFmnMRUtR8bbhKjOZ3nYROlDUDcel/j/ECRWKzWVG1H0zmImxvjZ2lXteyqhn3VMYIqRkXWbWqB9yMJfOwaPwuB8RRMz/PEYLWi6Xou13sSo1gUKWeLPCbGBoqUknLyMU6MQkpxh7UkgDJPeHg6AwZudtUkgZzlCak1DMC9VUgUm/XJxMRsOzc9u653k9RvNetJrGLp0/dy/Qiy+bB5o6SiEhX9EMzB1dDRCRXAiaED4tw3gkmjuE0IiccH9icNve/wg5uCHd4kcR6BJ09gSgXPpy72cQYhZNz0VWgZmFFWJhEACzK8MWzcSkvnwzn6oaX3/S/CeEqN5qTIKdMksLikRAkx+SS9ete5tWTGsMgSdnXDtm6o2o4Xmz2bumFXt+SJobCGeZrycDnnn+6f8fVqTm7tp2E8EVNyXc+ub7ls9jzeb7hpDsEP1IR+rHEh5a5zPadJfoeF/THqswKeZibh23LFvgtR0vu+Zdc1MdVFTTuEP8Z4WtqMb4oluf6wybEQtxpfRkO58csTv4aY0EakIxIBmWguqAI4M6a0DcPA4AZc73G9Q0W/J201WquYjHf3OpqqDbK6/a1nVFO1NHVH37vwe8dGrlpN7KHTRytc72iqDiEFF0+uqfY1xTyATEmekERW1jGG+bYxZxiGaGruECZ0LlorVLx2ZRTz09m0W7A4n2MTjes9yqggJUwMSqufFUcRFtCWmSlwg+Or7AHt0JGqdPJaGE1JP2WNVH0vBhjcxGCS8Y3zJibML6VD/rEa5QaZSil0TqkL7qVnPEzv8TC9x3lySqE/jb/J+5aVhlLnDIPnUfaA1ncYaSbvq31f/eLtPDAgB4+bds6PJBpHO+afSzunylLoIspfTnmQ3uNhep976SmlKT8a0NM7z7ZueL7ZcXOokFJwryzCDqE1+IGwy9O0HNogy1pkKX4A9cnn6pOAZmILjpOnEAU8xJ/HFLZp4jRORMfJc/wcD6P5LkgUIjIOxn8bf2c0xRt/Hhbn4+vffM7wfgugapjAKd7eK3+pL/X5lRaaXGUMZuB+ek7la2Dgql1PY/Sn7iPHz/i4SRE+nR6PRAwjC2NgGpmH2++/Zt89Lu601BQqjM9Lu5jG5/vpOUszxwjzk8f6zZUApUJS1yxP+Obeku2h4WQWgA43DFRNz9PLDYemI7M6bEDL0Ic7F+R2iVFkiSVLDF20ybhzGgFFajlfBu9KF2PQZ3lCYhSXmwNt57DRKFsATe9oup591aKkjL5IGb9/sOLre0vOFyVFau/Mx3+tmuATMZAl0Wj8dB4Yx01L3XYwQJlZUmtYlulkbP1T0wGtJEWWcOoHvj7vONTdJLNPreZmV9F2PS9vdvz5qX2j1M4PA0VqKVJLYtM7krTPpazW3FuW/NPX5+SppW57mrbnanPgP59csD7UZHaUegbAdBnZSvMiZQ6vMbhSq1kUGd4P/OHBCW3nAtspsfTO8+xqM4Gbx4CDH26ldkYHc+sitUeyzvd9dgHMTpQi0aHPsdLSmmbaXB0GopdTH+0eYDQIJ/55lM2FtDtiUp1jYVZk6nVfWCkURgYmV6kHlNDkvpjmqkIcqwpUtDMx9DIwqZKYrF3qOanKMMJO156pnOQXUGcIcRdQnLAIKd742RkZdEpIVkWQ6CVaszmtWVcNddeRaI3VmmWW8PXJgtMiIzMGqz9NSIHg1kagNAmnacHXfcfSxiCa6K/dx1S7mQlMdfOR/Vg/K+BpblK+LZYYIaldH+jx3sXdqls/nVFP+6bKtOGrYvGaTOBd6lizO9bwKvg0ashHve1w+ztSBRPx8WvS+Ppojuw8rnP46FivLGgz0jLv3k9zaFlfbLl5uaGpO9qqpW06lFJILQPoc0TtVVqSpIZykeMerbCJYXuz57CtuHhyzc3FJqTanc6YnRQMywKd6NuB6i01EIC2EXhSOoBmSofrkEqijWJxVpLPU7RWLE5nmMTgXYvWCpuYkP5nfp4fgUCQKDvJoLqhR0bT0R+qp7TRDPR9Ipw/tEZG04BAjGDEIKZ/HV8z0oqH6b+/To1+VBJJoTPupWfcT854kN7jQXrO/fScQuc/y6j0Y5aVFqEFRhpa3yGRZCrlh+opvXeTLPLzaOdjD69fu52Z5CWZyjhPTrmfnHE/PZ/aujQFuco+WlJF7z2buuH5ds+2blBScD67BZ6GYaDpew5ty7pqSLWm6R1+GJDDmwftj1Pj0tIzDA6PYxj6uI+nkULHCVOPx8WdPRW/Ajg1LU8j4OSHDj8EI0klkrjZKPD0+CHo9SUhCWoYfDx2hxw0UgSZ2jDcXk8gsY8gmJ8AKTBxvPv15Rtf6ku9a2mhyHVIWeuHnoGBRFoeV8/4oXrKtt9PC5hPDT5BXBCNi5vBMUntxlcceTu9d0rJR67ghTJaCiy5n55xPznnQXoewj7MIj7bvz3gaZS3Ci2Y5Qlf31uipORsWfDyZs/Lm12Qi11s+OHlmoHbWauMrAMpBSeznPNlESR7zuPekEgygkRZErxipBDk1rBvOq42B55ebO746YhROm0CC+arsyUPTkp+92DF1+cLlmVGaj99CtW7lohGO5k1rGY5D0/n3OwqbnZB3rWaZaxmGfeWJcsyI7H6ncZgHVO9jJLT80mt5mpTsTnU3OwqXt7sotzRH3kfBdBKK4U1ivur2cR2+lCz+E9Z1ijOlyX/9NUZmTU8vdzw5HLD1fbAel/zl2fX8X7C1/my5KuzBV+dLRAigE7H70+A1BhEKQKLL5IPVmXG5tCwPdQ8vYwhU37sjURMHRNoFfzGFkXK/ZMZeWomH6n3fXYBeNAkMqFQGisTCl/iBjf5mIb5bNhGbX3Dod9xcHvc0DD2kUYYCl1S6hkq+t2G9Vk6GY8fV7DQMJElFLyaRnncLZdqZM+O0ugwh0plymyYI5GYyIQapA+BU7qYQLC3YQIfq8TYzxyx4xC31/3G3yGQUlZ5hlGSs1kxye1GY3kVmXKzNGGWJmTGfDK/OEEYo4USlAycpQXDMFC7nrlNWZgEq/TE/LUyAFQfW97/WQFPRYw0XiZHGtr3LC2D30L2AcATIrxJZEQ1nXN0k1m3QQpJ3zm8i4DC0SUGRtRwCzD1bvKGCiyqsAs+/sr0M4LEr+96Yq4lQoR0us3VjsunN5Hp1NI1/WTMbRJzZ4siAECatEhAhGQ5bRWHTcXV8xsGP9A1QeonpMAmhmEeTYWnexaTwTrAEFlbPrK7RiqYiB1ehNUC6JXd+jYlqUEbTSs7lFaYJPhVKfXzlrpCCKyw2Bh5D8GjKFUJ/eDYdDsOMXJ+jJ3/1JPb6fifBzv/tRoHBCVk9MLQLMycB8k5vyu+5kF6zr3kjHvp2Wc0cRJYEfw7siGNxsuWXGe4wbHt9uz6/RR5/aWd39TOirmZcS8549viax6m92I7n370hUvvPfumDekcXcdZmbPKs8nY1HtP3fXsm45NXVMmlrbvj2Qtn2bKECCjACwNQx9AoKFDCsWACTyIocPFrwBGGaTQR4CQuANeuaHB+Sa8I8QAEoSQuKHFDW08r0Gi8cTXDzUSg5YhrWwYwa6hRwiFHFSgrw8usKmGAeQQwajbAf9z2xn+Ul/q1dJSo9EhmCIuckoddrYPruKiuaaPPnafIpn1uO4ASp91vx36kCAz0ZQ65yxZ8XX2kK+zh9xLz7iXnFGaXy5h9pcuIQRKCZQCKS2PTufM84STec5/Pr6gaXt2Vcvm0HC9PVC3cfzwA1pJEqNJbLCwyBLD6dy/MWZdCEGeWvLUsihSBobJTPqvz2+4Wh94dr2jbjuatsMPkFlNmhhO5zkns5xv7i345nzJ1/cWPDydR0+e10tJGb2CwrWNhuUqbhgHudbtdd1eYwDTRr8gG9PiEqMnw/Mfe44Q5uZZYjiZ53x1vsAPnptdxa5uOF3kLMuMR2cBNAtG4D89tgSgJTw7HeXC8zzluxc3/OXpFRfrPTfbim3VsD000/VIIchTQ5FaytwG83MGjFZ3FvJ37iP+59ZvKYA5Viu0HL02P814aLTidFHE95Wi6x2Xmz03u5AMuK/DOG91eAZV3YXEsyyhzCxd4ThGnkbj8MRqisTCALk1LIuMPz+9Yl+3bA8126ple2houj7eXzhHnlqKNHjnrmZZlPYFxctrT+AIiwoMQk2emPDe0SF10UTgKdMJP7XNXPUHroWkG1pcNBAHgZUJuSpZmBVWJigR1hZvapNgVxH8Ugc09mPJKn/hTfIfU1q9WndDWQSLPGWR//qyeiEEWgh09Ks9SXK0kLhhYGYS5jYhUfpoXPo0n7HPCnhSIlDAos7tg44hhYiSvPdfRGujJy+ivnOsL3bcvNiEdLd5RponXD0LQNAkqRMC53ww+e4cu5sDSW5JM0vfhQS8cpEzWxWs7i84ub/Au4HdzZ7tzX7yaNpc7Ugyi4ngzfZ6T9t00/Hbuqfeh87ce49NDE3V4J1HKknX9lT7BnW9n45983LL9npP1/QoJd8I5imjSHNLuQjI5/WLNX/5P34gm6VkRUKaJ8HMbplz7+sT6kNLc2g4bCvSIiHN7ZTml+QJMKCVYrCfdqYnhCCVCTMT4r0b3yKRrOySTYw5PrhqSqX5cGvT324ZYUhVQqYSCp0z0yUzU3KWnHAvCYynhZmT/sIm4u9bibKUQ4iu/yb/CoFgYWZTO+9jO7e++6y8lX6p0kKHdpYJuc6Zm5KZLjlNVgFsSs5Y2QW5Tj8JuDhOEscxqnOequsZYNLAV23Hoes4tCHZzvkBKW4XXp+i/NDS+h2t3zLE9BSBpPc+MpT6CBg1uKFFiwwtU5RIkSIwn6QYwaiwuHBDR+cPuKGlFxVqCJaLQ0yykkKjRYYUmmHwuKGmcyGNsfXheKO87yjzMlzwZFgqSYY5qOA1NHmwfKkv9RuqUTKGhUfZfTyeVCasY7+96bZ0Q0/ruykV6e+pRtl7GKPTaXxemvnESD61J5S6QMvPaqr+SUuI0WPHcjLzdPdXJNbw1dmcfdNxqNsgoxvChujICjFKspxlnC0KzuY5J/M8GIT/yHnKKLtTUlDkCfdPZqz3FV3vg6dOBEisVpRZwuk853RecDLPmeU/7uu0mmX8yzfnMbHPMstTZhFM00rRtD0q+sSqowWeVpLVLKPrl+RJ8JLa7GvKLOHr8wWpfbf3QpklPDqdI4XgbJHz7f0VN7sqPJ/4dX8VGDTvW0YFidm4psis5mxZsK/byUgcRk8gsEaTmGDYfbYoOFsWnM5zZkXyuqF5BJw0geXzL9+ch1TMAX734ISHp8HMPY0bWx+7lBSkVuPzhPurGd4PlLllva9poon9QCA5KCk5mWfcW824vypZzTLy9O1Jc0II0sSwKLPJmmRepHx7fxmfWx/CoiLwFHyjNNYoFmU6tduyDP5drwIDQXkjMcBXZwv+13/+ilmW8PsHK373YBXSC1P7oybyx6WlJlMFS+PpVBslyZ5EpuS6nFLoPpdN6y/17iURJFJT6gAEj8l1HyLgfN/6rEYzJQWWYCD+oTCBQAQK5wd0SNoq0iIYhN+8WHPzcsv1izXFPCOPwNP6ckdbtUFKJyUI8BF42l3vw31ohTIyyOKUpFhk5LOM1b0Fy3tz9uuK6xdrrp7eIKRgc7WjfLEmKwObKS8zmrqlrYNHk3eeLqbDeR/YVK01IR0gAk99G0CuETy6frFmcxlMwfu2RyRm1ATdvWetSPKEcpnjnef6xYbt1Y756Yzl2YzF2WwCnpLU8vLxFdvrkHDXHFqaIqEtO/I+gyGi7NZ9UmNfAIGcZHdjClmpck7tkif1C55Wz5Gt4EAV2U+fPvXgc6lxKW+kZqYLFmYWwKb0nPvpGUsznya5adRpf2qa6ofWqOOWWmJkQOILlXFiVzytn/O0eoForzj01cRy+3upsc200JQqZ2HnnNoV99Mz7qXnrMyCmSmZ65JUfdp2HqWcwzACTx3eD2FiLSVV14VUu7aj6UNK1Dgp/VTlho7WrTn0LwHQMkOLlH6o6dyW1u/ohxo31DjfYNQMK2cYWUbASaGExcgSI2dIoXG+o/N7+qEKkjyv7jxTLVOkHMElh/MNrd9FGd7oOXNr1TkCYENkPwWauQE9RGleGv2ofonpwJf6Uh+vjNDkOsNGhmUiE1ZmOfXbA3Bwh2A0+3cGPIX+MsjHF2bGyiwCsyk95yw5YR7H50LlMXH1s5qqf9ISIrBcRpPmJIIVTdfTOU8/Bv4ABBH8JD0KkfSGLAnffywtTQhBkSUoJZnlQcZUNT1tF9hUo0xvTCwzMcI+jedII4v/bXUyy5FfC+6tyklqZrScmE9122Ej2+j4MFoplmWONQHMGRP7QlJd9h7Ak0WezVmUKVW7om46mq4nS8z0jPLoh/W+pSMQZ7WmSC1ni4Lftx1d73ExZn56zoR1wQiyZdbEa9CTQfxxjZJTIQcWZco/f33G2SKw/WZFwjxPSSODTPwI8PehJYWc2tYaTZknPDpb0MYNMxfvLbC5ILFmSkFMbADY3lZCBL8nJQMANS9SHp0taLogvXLRB2t8DkKKaQ5ljZqe3QhGveorNr6XpFA8OgtsvD88PGGeJ8yKdDLPN/rdgCIlNLkKcrYxTGdgQAuNlgYTjcE/1/XDl3p7CSFIlA72D8SQlF+oLT+r0UwJSUhHfj894RAjk/tJl/1hDy4wnhLmbcF+HQCbzeWOru1p6460SAJ7SCvyWUaShsSIwQ90dUdbt/Sdm6RoaZ6wPJ8zPylZRBBncTpj8CFKtK27KYGurVvKusN1LhqXhwHVpAZtNVLfUmx9lPQJKTBWY1ODiGl2IXGvYb+uqHY13nm00SSZwSQabfXk0xTuWZGXKYvTGfv1gWpfs9k1DEP4tyS32NSSLRLkSrLfViit6DtH3/X0raJvFb73eD9MFNMJebeaJLPY1KB/psfTcck7sruwqF7oGXMzQ0s9GfrqLjDoGt9Gac1tZPKvbQL9c+uYDikidXKMjg4xzDmndsVpcsLD9B5f5SGKudBFjKK2n2TH6GPWsewuGRKsMMxNycLMMVJPAKcRW4QQ1K45Sif6vFKKPrTGgWD0/Bk9nFRMaspVxkmy4syehMjt/CFfZQ9YmBlWWqw0n3RHSgiBUZJEaxodAN42Lg5C4oeg7R3OjxO2253QTykf80MAiWp3jRRhTFHK4HxN49dU/SX9UE3yuWRoGFTPgItsJxWZTjIAQEj80ND5A53fhQmXOAaeBAMOJdLokeACyBUBrmHo8fRRwhdAJk8XGVcdSpgQZy5StMyxsonSOxjExzV3/K3UOLa7+N2PHouvvG6SFwh5O4ESty3TD57Oezrv0EJipMJEY+LxmKOhph8GrAphJlrIGB4xmlATx2bupOu6wU8myOPr33R9IKbrO07CedVXso/H88Nw5z78K8cfZzvBEyMskFX0xDw+5tgPBuPYcJ/uCKQ/njWJo2sMco4Po92PsjtUAMcLlXOarEgiAN4PPZvOoFDQM+2m3xp9//Z5ynfMcwm+cSqOz1ooVmbBaXLCveQk9tsPuZecTv323xPTaSwpBFIrDIEhMy8+jJHt/TAlrsooXzt+D0shyBLzQcDLKPMLc3F367lzVPNoNg3BgHu8nqbraTpH3favGRZDYDzN8oRZ/vMkSaOkkMXHl2gqKVBWkxrNPE/euOT60LF99IYCQZkllFnCt/dXP+t636ekFFipsSb4gZ3MP17gjhAiyEKNpvwESjEpbqnn58uS8+W7J4i/qZRQKJW90bfpQ+pvEaC69XzmKGzoyOl3YHo/T+u1oznwr2WwH/yeQiDaSEgZBm7nHJ/wkv4mRrV+8Fw3FdfNgc47VknOKsneO9lOG0VWBG8C5zwm0cxPZyRZSIAzqcF1Dtd7+tbR1CFpru96ymWO0jO0CWlv2iiSzJLPs8mXKZul2NRQLnMe/uEcZeQEDBmrg0QvT4JP00AASfxAuchZ3ZtT7xq0VRE8UtObWRtFscgpF3lkYgnS3FIfmgBsdR4TjcfLRU6xCOwtKQU2syzOZmHRfmhoI4BWRHlguSzQRqGNRkjB2aNVMHG8vwg/txqbmHjdQW6XZDZ4TBnF2VerkN5nNYuzGepHdgM+tIQIuuVBpSzMnK+yByQy4Tw55abbcNNt2PV7KldxcDWNa2h8S+Pa36w0SxDu2QiDVYZUJqQqIVUpucrIVUYZ2U5zM2Nl5qzskkylGKlRQv3mhgBBWMykJCzMjEfZfRJpOUtOQju3a7ZvamffTn4iv7UShBQSIzVWBulkKoM8I9cZmcoodc7CzFjoGUu7YGUXFDrHSBMXxp+2pa1SrIqMb0+WrKuauu9p4q6xd47OhcncSZFzWuQ8XMyYZ8knH2wFt0aVgbmUY+WCAeiGA0ruEYNCkzFIj5ElVpVomUdPKBfkcrKejDX7oaIfDvRDjRE5Stgg3xtqXEzw0iIPv+Nrel/R+T0+xhOPJgwDjjHtUqIRkV0lRQCelDCIKOETQvLZmtR84uoHz01Tc9NUrLuaQ9ey7zta55h8QBiTbiULm3CeldzLClJlJjDmqj7ww37D492ae3nJ18WCr4o5Vd9z6Ft2XctlveeiPrDvWr6dLfm2XHGa5hz6lkPfUcXzNq5HS8kqyVglGR64aSpumopt13DoO/Zdixv9Hcfri9/PsoJ7WcF5Vk6hKce9sRs8V/WBy/rArmtJlMKqALLv47U2LrIyhgEjFYUxlNoGg9AkZWlTtLgdazvvpojkca503VSTXGk0WZZCYKXiNC04S3MWSTiOkXflQO9bSiqSIQBO99IzlJDMzYybdsNNt46JtBWVq6lcPY3Po0H5b7H0lM6k49ickMqEXGVkOozRCzObvlZ2ydyUWGlR8uNt0v29VtP1HJo2puAFgCn/AJDpTdX1jkPTcWja4CubWPLEvDXZblzQjWygru/p+pBU5t9ggP651+RpOzKbxO1GkvhExshf6kt9jtU5R9MFw/C2d3TOhY3W4RZsDiqssNk0eoNZrUh0YMgZ9fHXxT9VAwEQd5FpN7L5pBSBiWgU6hPFTv9NAE/Oe66bA3/ZXVP1Hb8rPZk2HwY8lQkmMdjMsDib8eD3TTBli0lyPrKR+rbn4vE1F0+u2W8OlMuc2bIgn2eR4RNYPqNnkzY6AjgKsZRorViezwNzKXbWWgeAR9vwJhxT80aD875zSCVRWoZEu/iekFIGY++YTpHmdvKpGtP3lAom3zYxEQhSCClJMsvyfEY+SyOLyeE6h43PYGRTjQl6Z49WzJbF5D81pvmN96dMfFZK4aPJ+OykREpJWiToTwA8SQRGGJSSaKlIVcKpPWHb77hub7hq11y3N1x3a67bNZt+i+j2dL7/1SOUP7QkIfEtUymFyplPE9g5K7tgaRbMYnrZ6CORyIREjprs397EYARhpArySistJ3bFrt/Hdr7hug1tfN3dsOl2bPtdjIX99Al4n6IEQTKZqZRch4XKXB+1s10w12VczKRkMsWqYL6vo/b+U7e0UYqTPMMoxexgudgduHAHuq4LDBA/UCaWZZ6yyjNO8ox5+umBpzAZDuwiJWxgEak5A45O7tByCyQQTcSDx1OGEpZuODDQBh8oX+NEzSA8va+jx1ONJkOJJABPvqL3B4bBYURB72vcUNEPVTjW4FFCIzFHCYg+AmNHwBMJSiaBaTUBVL/8pORzqTC2V3y/u+HJfsNFveeyPnDo21smiRgZOopHxZz/aXlOYSwqMpsC8FTxr9cv+N9fPuZ/Xt3DSMVXxZzadVw3FS+rPX9cX/Kfmwsu6gP/t3vfUpqEVZJx6Dsu6wM3TcWuayIYpPndbEVhLG4YuKj3fLe74flhNwFYvffTDufExJKSf16c4YdzFjbDxJ8dz+/cMHBZH/jT5oqX9Z5CWwoTErguqj0vqz3brqHznt47Mm05y3LO04KH+ZwBKE1yZ3LXe8+hb9m2Dd/trvnL9pq/bm/wQ5hw+mGYWE65sfzT4hQ/nGKUJlXRq+1ntKMSikRZtNQRdCp54O5P/fbYd9904WvbhfQ75z6tAfmnLCWiia9KmMcNoLmesYqbA0szJ1MZuUrJdDqNz0aaib38pT68mq5nva+53B5YFRlCQGbf7r/zPtU7x/ZQc7U9THK+0aT7TccfmZXO+2lh2naOxOjX2JG/hRoGwmK1i8lkMYhIShm8G3+D88sv9aU+pHrn2bct26rh0HYc2pZ90waA2Tt65yegyargXVfYIM2cpQlaiV8FeGIIQNMo5e16R9d5lBIUGWgtP9nM828DeBoGNm3N0/2GXdcwNwkP8/l7H0fpwFayKaRFwjyi+sdI/lhd2+M6x35zoK1b8lnG8nzO4mwWTLeLNABB8nVJibaarEhYQdg1mM4jXnv9CBwNPr4mdu5v0zYPwxAMwSNANu5EEEGiV69FRsCqmAfT8rCLMZ7nNuFvrCSzcPLKdRHpgm/Y6Uh/Jl34XSo49StAYbEUOlBjK1fHCd+cuSkpmpxMpWRtSipTrDS0kdnghlv98ijTGibKf5z4Hkk8jifC7zopPqaZjn++Q8EMGsUjB5jYZnGnPPI3pgScQucUOqfURZjMmgUndslpsuLUriZJ3S3z5bddd9pZGnId6L+Na5nr2M76mkLnZG1KptakXZBhtr6Nkh13S4c9klwe/+y4nT+kpcWd/75fO0+SDEbpTGjnXAcG28qERcuJXU4yypkuMDLIEZX45QcwKQRWa8ohSOyMqhkY6OPubu89uTVYpZinCUVisb/AQBueocXIDC1zTPzyQxvYTXI2AT/hKzCOJBoYGHyPI6TLhYqeH0IyoNEiwcgcIvAk76S63Ob1SRQIhRIJStj4LnMMg4sMJxP9nMbvCVokfLph/7dTHmhcz7ZruG4qLusDL6odu66d+sT4fyCwhVZJxoN8hhaSTAfvgl3f8GS/4X9cv6Awln+Yn+CGgUMfgKfn1Zbvdtf8280Fzw87vioW/M/tPVrv2HUt103FRb1n2zZsu4ZCW87SYpLmVX3Hpq25ag68rPa8qPb03k2bM8ejYqYMp2nOo25OpjUZ5k5csRsGdl3L82rLD7s1hUkoTdhEu6oPXEUAbJQOFtpOTKW5TWn97YbTWFUE2F5UO57utzw77Hh+2AVwJ0oNZaT+59qQa0NpElKtA3tKSszPeD+OsmADpCphQZhDzHU5bZrMdEHeZtFse0vSWfZ9NY3P4+bBq/313T+PZ7zbV79Lzy3e9t+p/cY++q6E7k1yOknwbyp0Rq5zlnGjIEjrwvh8Ylex39YfPWn059T4vnmVpeOH27FRiuA7MyYV35GbjFKTYzZdZMwpOca1A8evm/4crkFGb5tjIGMYwiJvlKCONV1LnDvHQ7OvWy63B55cbuh6F03L9Z1ji8iYRDB57Li44TsQ5uR6PLYcDw5V03Gzq3h2vSU1oe2MUiTm+Pi3wHjvPHXbTQbSdduFhalz07Mbn/kw3I6dr9+nmFLxhlF2/Oozj/92/FxGKeC4gfxzy/XBU7beNyCYlB4mqhuk/e3PN7/Ulzqu48/W+NltnWN9qLk+1FzvK3ZNw65u2TUNrQvsp975CDppEq0o04Qygk6rIqPuMmapxcSkSCVv5wyfEsAdCHJk50KQQl13VE032XJIKfB2mLzZPua1/E0ATwMDjXfs+pZN11C7/o5/wYfU9Izlrd747r8LVJTTpUUapGU2sDGkjN4Ib4q7fO1EcSEqR++TN70k/oNk8o/6yWPGQXJ6s4ifvpbxPFIxTZjf5fUiHv9zKyUUucrADhipKXTwmNj3B/Z9xcEdqFxD4xtq18QEvJ5u6Ol9Rzf0dL7HDW6Kfz72oBg9Ke4AGEcT3DvT1TvAgpz8epQYpUDB92H0flAxWnmUWRmhJ3Ah+FrZSVo3TXBVFoAolZOpDCtvUwr+lksKSaZTBjxGKAodzMf3bs+hr9j3h0m+MbXz0L/S3j39cNvWoX3fAEYOEyQ5nf9uOwfAY1yEyGjWF9pZ3Wnnsa1DOwdZhplkdXZq6zvtrDJynVGoADrmKotyjrsm179kdc5xc6i43B+42ldcHyr2TUt9ZNK6b1oudgc657g3K2FehmjhT9hvKGFJ5ByhQYoELXNAoERKqlaTKebotyRESJ0TKLRMMX7GQI8WAbAS0eBXyxQ/OKwqMbKMwLDGqAKBwspgUq5JkSiMDB4bcmQ8BZceBvwks5MEM3MhNBKNkgGACmBYSLb7eywlBHOb8CCfYaTiQT5j37d03k3Abe16btqKm6YmUYradTw/bBkYOE1y0pjWYpUi1wYtJX4YqF3HrmvZtDXXTU3rHEYqysiW6rxj37XsuoZNG2R+EICZmUmm42oJqyTjq2JBqRO+Lhbs+zbGpYdr3HYNN23NuqlRQrBtG37YrTlNc05TQabfDDwEECrI96yUFCZICU28Bz8MJEoztykzm3Ca5CxtOm00hL4LNk3Nd9sb/ri+RAg4TwseZMH/QyAYCOBZ5Xo67xiAJ/t1YJDPllilyd9yjT+nEmWZDSVKSFKVsLRzdv15HKNDv137ZpJNd7GffrXvHvvtWw/H242jCa6KffpxiaPeW05jtJz67lvPxNB/axEi4LXQ8c966rONGMfnOEbHRNlj+XuhMwpdUOp82ij4HBOhnA9MuKbr2exr1oeauukn+UhiNLM8GD0LwZQCNy60+ul7+AqR8EGO5v0wHb93LhiGH30JEbx1imh8bbXCaEXvHOt9HdPFbs3o08QwyxJmWRIDLsLn4mKz5+nlhr8+v2JfNRzqjn3dRnPwYBButJzYBptDzXrfcGja6RqNVtN9jibYwzBwtQ2g03cvbrBaBUlf3VFkdjp2EpPcEqPZVy1X2wPXu8Pk/yKFIE8tPnofuujd2nSO9b5ifaipmm66z+ALFLyfBIJ2lPb0b3nmiZmee2ZHU/SP816r9w0Xj694+fgKKWW0FEnJ5xnFPMcY/fc6ZH2pv9GaQHg/cL0/8Hyz48Vmz9X+wPWh5uZQUXXBwL/pHd7felLeAu+S1GgSrcmtYVVkrPKM0zLn3rzg3qxkliVTYuKn/AgJAiCttUT1kt55DlWLcwNt11NVHXlmKXJLkVn0OyYhvkv9TQBPfhhoXc++C7uRtet+NvAERztdb2h9AdG025IVfZDVRZnZ6LP0rmuqV1lIbzqZEAIxvAPoxC04JYYRdHq363jf8/BT1/0rlxaKXAVmU6kLOr+ij/HNjW9pXcvOHdh1e7b9LkxyXRO/hwlvHSe8rW9pfRd3iD0+TnJDiLpHEP58vLF6vDt6dxI7Ag9xAvsasGRIVDBNT5QllSlZjFzOI9iQqxQTwQkTAaoRxDBCo6WKPk63U+u/1VIxHcgITaELTvyKbujoYjs3vuXQV2z7Pbs+gFG1q6lcQ+1Dm9eupvFdbOd22mGfvguHH0RcuHj8nXbmCFiUqNjOx0BTAJZ0lAiaqa3HNg5AYgCXMpWQq8ByylU2vSdGgEnH9g1trifp5K8GPHnPzaHmh+sNl/sDdddRdT3OR6BugF070DrHTVUzDFAklnuf+LqkMFg1R8ssLiaDH5OWCUIsJ0BoLBHZhCAYhpJBhTjtERwSSLRISYdVAI2EQUYwyshy8nEKzCXDwICRJdlwNp0hsKdG4DJyooRk5Lnd+Xs8pxh3Hf4OSwnJzCSQw9IGhqO4M6wJbpoqSseu8QzUfcezahtk50qxGrKJEZRpEwzDh4Gq79l3Leu24aapaH0AnmYmQUfgaRfnFNuuYd8HiV2uDTNrSbRGCoGRkmWSoYTkfja7M2cYP5NP9hv+ur3mL1wjhWDbNfywXyMIQNYqebN5qxs8hz54M+Xacp6V/MvijLOsiOPKsaG6IlHhHkdmiY9ekeu25vvdDf/t6hm/n6345+UZ/7Q4nYzIQUwSwavmwKatebzf8KLakSjFveznmdS+ray0KBPG6YWZ0/uebrgdnyvfTOPz3sV+ux/H5jpuHMXx2bUT+OSiuf/Yf4c+3N/OiWJNjOJxjD7ut7ndGLi7+WNJlMFGaVwax+ZMpeQqnfruZBqfw4aCin22iWO+FooxGORzqmEIIEjXOw51y8v1nieXG9b7egI3yizhwcksLKqEoGo6Dm1H3XY0bR8NtIOJdtP1rGY5Z/Ock1lOF3fYuz78W/3K64WAs3nB6TxnUWTkiaFILHXX8fx6x5PLNbu6na53UaTcW86mVGXvAyvqchOu+y/Pr9lWDfsIPM3zhHlM+EqtJrNB1nyxOfD0csPV9jCBYanRPDiZ8eDEU6R2YhJebQ88u9ry3YtrtJQc6pZ93bEsU+Z5yjwPptgQmAy7uuHFeseTyw2JVlgTztt2ISktsA/COatmfOZrbvb1dJ9FlnB/WU7P/NC07Ot2YlAdP++m61mVGafTc0yRUpDajwMe14eGl4+v+fP/8QNKK1b35qzuLfB+wBhNPkv/5uedX+rvq8aggrZ3vNwe+I/nl/zrs5dcbPcT8BRYigFUn5ixgomVCGG8llKQaB2ApyLj0WLG//TgPPg+mRDIcWwU/0lKhJCAQYXr6fsAPNVNz6Fq2ZqaWZkCJWliPipY9KsAT61z1K6jdl3c6TJk2tC6noMLJp7HNPGfqm3X8LzaBWPQvqWKsZc/p4T4CdBGCGyiyWcZQgjyMsVmFm1iatw7MIbunOdd/v1dQaf3eP0bf/d9z/OZlhQSqyyvOn25wdH7wGDau8PkBVT1wZS6Ovqqj4xObwGJMKF13P55BKGO37fHlPxxUjtOaEfwychb4GliuShLKhMSlZAqSyZHH4hbpkum0siMklH6c0vXFq+AED4CYsfMnDfV2DEODBwDVrcSNCaG3rhLfuf3hrs/GWVk447ueI3HDLBXz3n3esJ/j6UMb21nIafY7tt29rihp/eOg6vY9ju23Y6Dqzj0d9u5cjWtPzKdj4sXx7iQOVrEcJcCH65hbGcR0tC4BZzUHUBQR8DJRoAxtrNMpoVLYLCNjKY8Ln7UryKje5dy3lN1Heu6ZlPXwaTQ30YOKxHeG03f0/Q9h66jc+6T+2WPEjq4u6gXmJhWN75Thzv/+uMT5tcTlo4FuOMxxiO9qd7/nH+/JQAtFYnSR5+v2wQpgaD3jlQFEKh1jn3f4QcotKXugzm1FpJEaUpjMVLhBs++b9l2Deu2Zt3WuGEg04ZMaaxSdM6x6Ro2bWA87fsuAk92YjyN12KkIlUGq/yUMCe47QPXbY1VIRBkBLT84FlGadxbK6bQdT7wdmYm4VEx5+tyEY3Jw65oAJmGIxA8sKV67+gHz6YNc6S/bm+YmYTfu/DMQrpeuK59r7EybFZUfc9lfQDgd7P6x6/xQ9tWiADmoEHdSvJDql9gMTW+Zdvt2PR79v2eytV3+u76FUZUAJ7i+Hw0VntuNxFevYYA695lNh333UYeMZqUJZEBdErj5tAd0Enn0xh9u1Hw2zQKHwjvobZ3VG3Hrm5ooh9I2zus0SRWRxCko2pamq4PniF9TzuxoDzm0CCFiCynIGnrvYvHC6/v+iBfEUKwjoBL1zvKLJnOua1qdnXLoWmnOYTWHZtDjVaSxERGmpS0nePQtGwONanR1FkXzuM0vXOTZG/83HR9SJrb1S1tBHGsViQ23KfzPgC8StLFZ7I9BA/Ysu0mn5Tp2P5W+jkCeXXbRTbVMN3f6BvbxOtd72u2h5pdFe8zzn2kFNN9CkQ0Tj9+5m5iQHXOo6sWGZmRAjF5UX3w++FoztNWHTcvNzz50wtMEoIPTGLIyuAV+6nH9i/1pX7p6pxnWzds6oYnNxv+cnnNH59fsqkb6sh0kvFzqpWcpK6h3/MT+78fPL4LbNLWOTZVTdWGAIR5lqClYp4Fr0/1kaSxb60jnML54PdU1R2N7KMsV1DmydRH3f7azxvPfhXgadc3fL+74YfdDYVJ+KZc8E2x5LI58OftFX/eXL0XY6l2HX/ZXvP97hopJIe+pf8IjKcfKylF8IE6nZGVaUi+yyw2MSit3ppu8aV+/RqlT0JAOiRgCH5PuqTzHa3vohyro/V3ZVj+jtTOv/L9VQnWeLZbUOJWaicjOHHLghp3V9URO+bNFH4bJ7NEEOQWGAEmNpVATBIxRu7EkeTvGFgCju4tLp4ITBoXZYZu8BODZwSNfLz/cVd5mP48xBSHALgA00Jg9KhSQk2glh/87QQLeUfmdrwD/X7tHBYUWkJKWNgYYSh9QWu6SXI3tncfQapgRj7Ee3mfdr4F2o7BxrCbfldmd8xYGsFHK46ZUBYrLVoGEOtzBiYETAbPRim0jJHzE9vv7rVnxgR5w2dzS+PS/ede0Pv8/sc65992eQaqPngsrZuaQ99x6Fs67yfQZ9cF/6Yn+w0DsLAp0gZAykcwXEtJrg1zm2KVoveebXsLKm3bBi0lS5uSKh02wryb0urWbUPrek6SLDKeRqmdoPeefddy1RzYtk28xi72XaHffVnteXLY8PywozQ2mHkLGfvEt6/SpBAU2pJryzLJmNuEJJ73VbjyFowL5QZP7XqqPnhk7bqWfdfyZL8h1ZrKddFHLkxut10zeVjtupaq794qAfzUNW5WWGkodB5l8+nUV7eT1K6b5He97++MYf5Icjf156+siMVRvz2OPXfG6DfI4G/l0XF8luZojA7js42+ir/JEA8R5rdGySAHKTNclG6NrCEpwHnH9fYAiCCx6wM4aeKufQh7CT5QTdfTtD1PLjeT55ASQRmQJZoitWglp4VW03XsqoZt1VAkljw18d8E54sCKNEqgEDOBxbC44s18zzhdF6wLALzaJYllGn42aPTOd/eX5EnIeEuswajg+kvAyzLjN55EqPYRwaTH0I4xnpfMwwDyyJjlpnp2LM8IbOGB6s5v7u/Yl6k0/FTo4PnkxDTcxyZXm3vadoAto0L0m3VcLHes95XOD+wmuUsZ1m8T8UwDLSd4/n1Dudu56HiLc+87XrqLjxzoySzj+i32nc91bZifbElzS3L8/l7kQW+1Jf6rVXVdjxbb/n+as1fLm94udlTdR25NdyfF8zS0BdkxpBZHcaO6K0WAjwio7HrqdrAEN3WDbumYVs3PL3ZYLWi6Xu+Xi1JtMbqTwjRDLceT855hmG02AmbWD5Kp53/+MFMvw7w1DX8eXvF//fiMWdpgZGSB9mcq/rAf79+zv/z+V9pXf/TB4rVRyr5uq1Z2JR9/3Gkdj9WQgrSPEFbjXcDSgUjbhlNuN5m/v2lfv06lr4JFZgyhconJsstgPIK2DBMNuO3319h+fzYOWFkToo7E97RaPoYGBo9oI6/H4NVQohbCcHgJj8qCCloVhgQYtrxHcG28X/jMzhO9XPTTrGLE2uBGCTOO9q4m2ykZpADSqg7O8ojMOcGh/PBb0OLkDAoVMoAQUbhe5SUDNJO9zCeUwqJGiSDGG7ljAwYMSCleX8G31E7SykxwpCrbGrn48XJq35OH97OR619Z3F4BPpN7fumxc5dWebIaPisgae4y6Mi8DSyLsYoexkHs7FyqzHqc/Me+zWu5vN6Ap9j+WE0AD/w7LDlRbXnxWHHvu9QEexsXM+6qblp68BCQpAqTedHo+ABLRWZtixsipU6soDq+BXAltM0Z5GkrJKMTGlaF3Ykx7nFCBDlJng8JSpMLhvfsesaLuo9zw87XlQ7XlZ7eu+jH5Bg27Wsm5p1W9EleZAHa0Pv/Y8u2JSQIXJZaU6TnLlNSdTraZVveif1PgBPo1Rw1zbsuobH+w2163l22MbfDb/dD4GF0vshGDrzdu+pT11TnxhBn1Sl03g3AUrTpset/97w1n77x3vu1/vt8e/iNTPx0UB8YuBFie4o11NTv/3bZTKOO/UAJ7McoxVllnCzr1jva+q2p3eeq23FaOYNkFpFZnRIbspsBH4sP1yu+e75DU8vN0HeFoGf8XueWMrMUmYJwwDfvbjmYn1gva8CiGODj9OyzDhblBSpnfyTrrYHvntxw+OLNc2iYFFkkxfSLE8ps4TTec6j0zl/eHAysZaUGsdbMYFKWkqKxAYvqUPNoW5xw8B6V+G9Z5YlZIm5c+x5nvLwZMbv76+CF4oMQNE4JkopyBLDqsyRQnC9q7jZVVRNH8zFvcd7z7ZqeHa9ZX2oWRUZJ7NwH6NX1K5q+euLa55fb6m7fvp5eH7hmZZpMj3HJ5cbvntxzdPLDfMsCXLEj1ED9J3jsKtZX2zo5hlt1TL8TJXJl/pSn3Md2pan6y3/+vQlT26CrcSh7Xi4SPnd6Yo/nK9Y5RmLLGWRp9OmjpS3jKfghxr6lpfbPX++uOJPF31gUa23tFHKl2jN/XkBfMpwrrCmdS58hc3iMMaNYFTXuyAFHm5VLB+jfhXgaUxfcEeJKhCYS1fNgR/2awCyuPP4U9X72+OMk45PTfUUQqBjgsOX+m3VMdsn7Kz+9tpwYuAw4HB0vqN2Qb6hpaKJhsQjgBaAp1tp3vh1O3m/lSJ4PNrraZfX+f6OcevAQC8cbZQf9kM/fe6OgSQXfS1MBPKCjK1BekknO1oZKNounl8c/e8YCEpVGib8wy3z511lrMft/Ntr5d9GxbU9PsbHW6WwOoBLYxLP8QIst/bXiY99Q32MheH7HuO3uhj9pWoE+v0wUPc9N03F0/2WJ4cNu7alcf2U2DqJG8WtC9bAcDQfCK8YGU+LI8bTJvo21a6j9Q4tJXOTTml1jXNULqTV7bomeiFBqgy5DgtMN3gOXctlfeDxbsNFvWfXBfPzeDMMo+xO3LZ9mP/cvcY3lRBgpaLQhtLYydD8XZg0AyEdq3VuAuEmCbTgtWMYITEy9LGJUlipOUnzCNb9cp/XsW8fn9XnKjH+JWoYQTUGet/R+orWV7jhpzdmwxivUSiMTOLX61Lh184J9FGuNRpXC4hSNk2eGIZh4NB4qrZj8NE8VwqGIRiBZ0lgBS2LlGWZcbWr8MPApqrxQxI2gnRgVFsTGE+LImNZpPhh4NnVhrbv2VQNbe+oux4hBMsyo0wtyzKbTMKbGGKxPtTkqcF7P3ml2AhOBbAoZVVm08YIBPlM59wkkSPepzWKLMrrDk1H3fWYVgUPo5hel5gwzqVWU2aWRRn8qN6USGX0eLyEQx28AIMkb4g+bNC0PduqYXtoWOQpeWJZlRlpNAYfd2+2VUPVBCNzKRIyCzrGtM/zhEUZnmNgacXXt910f+9TfddTxfS6runxzuOc48mfXnDx5Jrt9Z6+81w9XzM7ucL7gXrfsFsf7qg+TGIwicYmBpMYbGrQRuGdxztP3zmqfUO1q/HOk5UpWZlgEzMFNr1tM997j3cD3nnqQ0O1r6l2DWluyYqUtEiQEWhECKpdTbWraesWY8N1Ka1wvcP1jr5zuN7jogxy3CxWWk6pfcbq4Oub6Dvt/KZ56TAMuC4ct+96uqanbTr6zk1J4mHRL6ck8XAeNZ3LxOCqHzvP51DD4Kf+6ohLCu8xb/9cq+kcV/uK76/X3BwCK3Geptyfl3xzsuCf752yKiLwlKUTqB022MNY3zvPTRWAp3mW0jnHtm7xkbX5fLPFKMnXqwWd+7TkmTfXURBH9LP7FEzGX2UtVhjLN+USPwTPgnvZLNBDhSSRwbxzaTMeFXMe5Yuf9NeqXc/3uxu+212jo9eC+sI4+lJ/43W7iIHOd1SuovXt1HHAkXmquJV7jf5DUshA/xwCsDQCtiFx5SjZZwKsAt07pDX46Jm0pfNd8CqSCUqoW9BIxGsgekX4loM7RDP2IwlWPOfEMhv8rfeGkMyGGRKBjnH18jMzY/17r4Gwk9P0PZ3zFNYyTxOSKDkepTxjFdYEv5svAMyXekuNgMmmq3le7fjz9pqX1Y6ztOAfF6fBADx6uey6lmeHLc/2W9wwkBszgURjmcgwWiRh4e2GILWr+o7eeySCRGpmxrKwCeumYe9a1m3Nrm2pug4bwVIrFVapmIzXc91UPNlv+OPmEu89p2nBH2YnpHr0UJJc1PvpGhOtSd+ZSSQm5k+IfxfvPXkfJX9jqt9X5Zx/Xpzzz8vTt5yRyNSSFNryVbmgMK86JX6pX6ICiNrjho59v+aqfcxl85ja7X7yd61MsSonkTkLc87C3GNhfxp48t6zq9toyN3StEGyNe5+Q3h/iKgWnjZ7Gf1NAjBjlJq8TibW6yvhKzKyZG18vVISXBj/x+jyUYo2yrdVlJKNrCzB7Wa2n+YSd+tNn5hhgEPTsj007KrgX1W3PV30iPXDEK9/fP2RO5/4kQN/UEWwPTIjiHJHFY1/x/scr8MPt5vrQgRPmTH9b5Qsirjev/XefP+qDy3P/vKSp39+yfpyS1t3tFXLy8dXfP/vT9lvKtq654f/eMZhW1MscvIyDebiR/3U4nzO8nzG8mwejMjvLyiXOV3b01Yt25sDT/70gid/ek5bdTz6x3t89Y/3Wd1bYNMAVKm3gN+u9+G66pbnf73g8Z+e8/g/X3D/m1Me/cM9Hv3DPWxqSTKDVIqLx1f88MdnXD69YXk2Y3E2Jy2SCZA6bCsO2/C971xMKJdkRcLspGC+KlmczVjem7M8n6PNTwPj9aFht67Y3exZX2y5eblhe72na3u6NgB62mi0UaS5ZbYqma0KZicli9PwZVP72ZOkPQ4/dLihQzKm9KqJIfrZ38CPVO8d+6blel/hvOekzDkpMn53uuLr1YLzWUmRGFJjwlgNE1gc1i2h78qtmZ7CoW3pvSe3hqspFTp4Po0+qZ+uoiohgrJCBOmdj328lKF/luLjay5+HeBJW74tV6xsjlG3KTJSjpHHlkfFnP/TyQP+y+rBT97yrm8pzVP6wVP3fUh1+Qwjar/Ul/rYFadddENH5WsO/YHWt3Q+eIyMXkoj0CTu+FVIeu+CX8YQTCxHiRdMmVvRPDUjUQl+cHT09EPHdXvDZXNJ41sWZsbczEllCgwMAjSK0V3TD34CnsZ0QI+7c87Rs6P3fbhGqTBCI5BYaUmHdJJgfAEtPp8ad3LqLnhkaSWZpZbc2lsj6GOpXWIx+nPyePpSn1MNBAPuwDZqeHbY8ufNFTdtzf18xj8tzvi2XE7A001T8afNFUYodn0zSZaPS0s1MZ6qvqfxfWQ79fRDiHC3SlGaJMj1u26S8G274Ns0HtIqhZWKyvXUfcdNU/H4sOGP60sWNuUP8xP+z6cPWCbpBDw93m8odYJE4HmdbfS2EgQmlxplq+/xoTlegCtxm+r3qFjwv5w+4P96/5sfPa+IUoFUadJP6TXxpd5aAx43dLS+Ztdf8bT6I9/t/yub/uInfzdTcwq9pFQruuwfMTJh8Q5Zos4P7OuWi/Wem101paUBk7xNqfEzNsowRmbxLQhitUIrFRivt3tMR0BVSFUK/kQKo8NnJZIZw6sGJp+loIwQSBUktiObYPTLm3boj+5FjP95w8fGDwOHuuNyc+Bqu58S4bwfJkZTuPZ4n0fXfXz8j0XimFiQccE5mqSP13AMPN2KSofbZ250AJ7kXbDq1eiL96nm0PDsLxf8j//Xf/LsLy85bCoO24r9JnwdNhVC1hx2Fc+/u0QbFdhFOvhxjfXVP97j0T/c56t/vI/rHWmRUCxyuqbnsKu5frHmP//rd/wf/9u/s99U/Jf/+79gU0OSJyBAW/1Wh0/XO5qq5bCtePynF/y3/+3f+a//j3/nX/7X39P3jtlJQTEfUDrInl8+vuLf/t9/5q//4zEP/xCAqfmq5OZiy/piw83LDdcvN9y82NBUbbwfxfyk5P63p9z75pSHf7iH1JLZqnhH4KllfbHh4sk1T/7zBY//9JwX31/SHFrqQ4Pr3QSOlcuCe1+fcu/rE+59e4YA8lmKSUyY937G86ZhcLihpfc1UhgUEUQdAPG52Su8X3XOs29arvYHisSyyjP++f4Z35wseLSccz4rAug7JcXe1jieCiXIhSHVmkTfBhZYremc48nNhpt9xaHtfnZA2k/V6OUXPORCJzn2tcCtR9VR//2x6leZTVipmJuUTJkpEWaMO57blPOs4EE+56t8wTfl8icXmSHVbsvSZmxFjY3H+1Jf6m+1RgK+Hzy972l9S+1qDq6azNAFo/4kMqMIfx0GT09PC/TRGyq8PliQS3E7Uxt9klRM5hllMK1v2fd7Du5A5ztyPUadiyC18x5JTy9d9KDqaHwT0+PaSdInR+hJiGjs7XBDj5Ya/BDikWNS0ciE+thGd1/q59Ud6c4AvXNUXR+Zc6+bi2spKaz/rLy1b/3bbqVPx05s8Numif+WaiAwHDrnqKNR92h2bYRklWQ8yMvYL43ytzCV8XHV+upSwBxJ7Xp/YNP2XDYHDn0HQBalbDObMDMJSuxoXM+uC9K+adE7BUKESVrrHZULSY27tiHXhlRpzrOC0ySPjD/Bpm0wSt6Ru73zbE7c+sO9z7pDIjAyeERZGRekUbo3PgslxsXt0UZdvMbRAiHIGL+893+devW5j6EXLvRTR1L5ARfZUYEh1agDbgiy1IW7T+/bdzrjMDBtJOyblqrpqNog7SsSE8GgMMa/rsKIDL0Ifojj9+6b7k6MbOxbIGmUNkFYGCVRipdZg/Oe9b7GOY/RCqMU60PwXytSS56Y4B8obkGtzGq8h13V8Px6G5lBwfS7islw+6ajajrquODLE4MfLELwxvuUIgJmNqRtHpqOi/WOIk0m5tEUJiMis6pqJu+oXdWwb7poYt5MBueZNdHod2BzCMl+wQBdst7X9M6TRjmf1Xp6XqOk/fi533nvfOCUSQiBNiqCQBbnHN55uran3jf4YUAhUFqRZCbYj0TmznGleUKSGYyNqd/yVn4sY9/TVi2b68AIunp2w8WTG4pFDkCSWcxbbE26pme/PnD9YsPl02suntxw+fSG7fWBrumC7258JsMQpIA3Lzc8/y6At653zE9KmkNLU7W0Tc/gB5RWaKPC+915ql3N5bOb6d9taigXOeUixyQak9xlsfadw3WOruu5enbD0z+/5OmfX3D9YsN+U+GcBwHKKKQSEawL97O+3E4SRCkFJtH0nSPJLDazKPV59scBJN/TuA1GZmiRYyQgBiS/jl/gx6qBmE7pwkZVZjUnRcYyy5glCZkxPxkqJgCpFOMEZZYmrPKMm6om0Ro/EAy9h1djMD7B/Qy3aZtd74EhgN1aTvYZr/UjH6l+FeBJjL4fQkU5TbixTBlOk5xvyiX3s5KFTacY5R+rNsYpZ1rTeTMBWV/qS/0tl58AnZbaNdSupvUNAokRYzqewUh9h/XkBheTgWJSH2GHbZK7+dEfYlxgebqhY3DDZCDe+DYCSMFo3AhDIhOMNDjn6H3HgMd6i/WWNvo7Va7CDW4CtG7PGZZjY2rQmBZkpQkglAi+T3KQnw1Y8aVCCSEwSpEZE3aF2o52vZ2kEK+ai7fOkZowaH9OjRki13v84I4Mg+XfBE38N1VDSLPrBx/SaYfA2DFSxjTIAP4gwusa17NpG17We3ZdQ2Eshb4rDdMySu1syk1Mx3t+2IUFqpAsbMrcpsxMQmESpJC03rGPCXoibpCN7IMRmOm9nyjxWkqMuL3GcQ4SJHkd66bmRbULwI+xFPLTyte0DGylAUh12OTrvKfqWzZtw2V9INeGwtg7wNNAkCL2Mc1mAqe+vP9/8QrzY40WllSWLMx97qf/SKFXE2vYDR2db+h8Q+MP1G5H/QF+Pm86N0QQqu1CpLYP7FYhBG3nAogqfmqG/uGlZUhjO1+U5NbQ9Y7HL9eImLqnlaTtHc55TucFq1kefJYIkr/Ra8p5z8v1jrrtmOUpszwhtyYyC4KHlfOeuu1po7ePcwNSiunvt1txgY2UGs0sSxiGgZtdxX/6gflkap4E6WA0Ml/val6ud7xc77neVVzvKqqmY54HM/Dxaa+id5X3A8+utzy/3qKVwigZfOe6nkWR0ac/v33fpZLccu/bUwYGHv7+PAAzdcezv77kz//tB6pdTZIn3P/2lPvfnlIuC/J5Rj7L7krtToM8bXE6Y3E2IytSEAKTGLKBICtbFcxXBW3V0rUBrMlnKcZoZqvirdfY1h3ryy0vvr9gc7XDe08+SwMotCyYLYuQNm7UHb8a7zzriy1d03M931DMM4p5xvnyhPOvT2CIbKq6pa266B/V8OK7C7zz2Cx4SJ08WDA7KZkbjTgChNqmo4rssKd/fslf/vsP/PAfz0gyS7nIObm/iOCWREgZ/a4Guraj2tZcPb+himmK3nvO96dBpnhvESSpn2G5oaVxWw79BVbOSJVHxGRpyW+b5R4+9yIyrUMy9Tgn+CBnn1FOK2+TKMdNIPkJ+9SxhmGgbXsOdcuhagPTM/Y9vXP0vf90/fonOu6PloBIR7v9O0CqNSdJzjfFkvvZLEQbS/2Tb9bOa1JlyJShVT4AT7/ld/iX+lI/UcH7wdMNPe3QTmyixrUkKkHHaGcrRuBpNKVVATQauskP6lVDbz94NHpK5hnwdL7DiSjL8y2Na2ni748A1xgj3biGznf0gyORDa23ARyL1zgwYISZJH1jWlGQ/2mU1FhxBDwJHSaGMfluiB4IX+rzqNE/JrOGfduGXfJo+KpEpOq+8vqTPHvDbvmvW35wON/RD134vKBA6EgT/7Ls/iUr+LqM4EeYLxihIvgUKOCjYWfrHNuu4aLaB0kcglTd3V0dpXbDEHb1Dn3H82rH3CTMbcI8Ak9zm0xATOsc+66bNsdM9KEUMLE+xmATAWghMZFZNEqB7piktzXPDztmNpgrf2rfJCUkqTbR9zJs4PXeceiDYfpVfWBIMoxUdzynRuCp8w4/DFgFavi8JR5/qxX4wAolDKkqWdr7AMzdOW7ocENP62sat6f2e3b9FX7oadz+Z5wzGuFH4CAAT/1kNN65o3GY4ZPtikMw+p5nKfeXJVpJnl1teXq1pW67ycsotYYis5zMck7KjCyxk+9RbgPw1PY9L272PL3ccr4sOF8ULMucqrmVtDgXgJ2qCR5PvQsymOCZeWuTDGEBOibt7aqGm13Fy5s9izLlfFHSO09i9cR+utlXvLjZ8eRyw+bQsK0amq5nliUUWTKBS6syo+gtz663PLvasqua6GklSI2hSC3LImUYoG476vbd078/pJLMcv/bMxZnM7qmnwy4//Rfv6faNfzwH8/I5ykPfn/Ov/xffs/ZVyuW9xas7i3umIGbySRbBaNxqxEi/FwbRdsUwdfopGS3qeiaADwlqWG2LDjv3n6fbd2yudzx/LtLNpc7vPPks4xikU3gU/BpEnRHz8s5z/pyy/WLDTazfPMvD1iezzn/+mRiMgHsbg5sr/c8/+6C7/7tCc+/v6A+NGRlQjHPEFKgjaZc5BzbUHV1x2594ObFhqd/ecFf/vtj/vqvj/n2f37Etw+XPPqHexTznGKeoa2mOTTUh5ar52v++t9/4Or5Gv/kOvruhORDbYLkj8+UPeSGhtZt2Pcv8cpFf9gEOUgG8Xle87vWyM7UESAagW8VvRfftwsc5xW3YFY41nS8T1x+GGi7nn3VcqgDicBGVmHTCrzvjnziPq5A4VdjPL3pBlIVgCc3eJY2izuPP22maWSg339dLll1LWdpQaK+eBL8GhV2ijzehd0wFQ0jf4qCCGEHYuxkhRATPXakE3+RutzWaM6thcIKS65yFqYjUymJtFiZRNBGoSPjaWRvGB880IzUt8BTZDaN5t5h116jRTAGHOV3Rhg6YbAyIfUpnc7RQrMwc3IV/uzUrSwukSlGGjyeUhf0Pgz8WmqMMEE4MHiGwaPiOZXQYQEnNFpoUhWYVLf38OV98DmVlpIytZyXBVpKDm3HoQs75HKU4B212TwNEdGfQzPe7oAOVG7Dtrtk36/J1IxMlSSqxEiLJpmA0i/1iUsEEMcqTa5tYOVoQ+8dm7bhr7trWj9KjeB5tWPT1mEho+QdT5mxlBDTnEALQet61k1FrjSJ0qySLKTGaYOO4NIoZTbR0ynXFqvUJLXTUpHqEIYyfg0MXNUH/ri+pDB28px5cthw6INB+QhKfeqSQqAJY+/cpjzIZ/xhHozZ933LnzdXXNiEmU0oTXIkYRaTp5SVwfdKmrBr/aV+6RLBlxGNkQmFDtYThV9ESZ2j8QeqfkPlNsBA4/Y/a4wUUpAazTxPJg+SxCi63k9AysiQG+dlMm4wlFnCPE/IE4PVagr5yRPD2aLg23tL8iTI5vIIopSZJbUaPYZRDJJ5nvBwNWOepzxYzTidFwgBdTQ6rxsdfYwkeRrApXkRUvSyCGokVrMoMx70LsgFm46m68kTS2oNiVGAnTypwndN3XUhlTX6JY33Oc9TitTGdDSY5Qn3liWZNdRtkCMGSWBI07MqeFzpCI7N8oRVm5NaQ5kn9L3jbFEwyxIyq4OvlNUTANa0fVzYhuebWsO8SJnnCSAm4Cm1mnmekllDEttGvPLMzxYFefL+C3+lFGmRYFMT5+eBlXP59IasSILfltaT8fby3pzTh0tOH67uzPnH+bx8dV4f2Qc2MZTLnNMHS+p9gxCCm4st2mrOvzmdEvXetMBv6o7N1Y6XP1xy2FZoozl5sGR+OiMv07dK9O7epySfZZw8WHD/m8DcKhc5QsB+VUWwB9aXW9I8wfuB3fWB599dYFNDMc9eS/+q9jVXz9Y8/fML1hfbSSo3X5WcPVrx8Pf3yOcp+WwEnlqaQ4O2ivXFhuLxFftNRbWtePH9JSYxLE5nuP6u6bTzLf3Q4oaGYXBE8S3BETDOl4+8z7RM0CJBCIXzDf3Q4IZbGa5AooRFCQMIPH2U9rqYWucYIXHB6AcbQOiqv6bxO9zQ0PkdtVNxbh/OOX2PxxdxTTLg6eO1+KF7w7VYpFDT6wPo3uJ8w5iiF16vkEIhhQ4eU/HrY5RRkjJNOCtzMhNkv9f7itwaysQGVmQcI9/W/47vkQHo/cCh6bg+VKyrkEA5zxLKxFLYuyzkT1VjgMMIrI/yZEH8TKQWa9Q7rd/fpz4rdCZRmmWSYSItPn/H5BctFOdpoGK2ruc8K8neOTXmS33MGrynazrqOnQeSWpIUwNvSaQ4Luc8XRs00Soa+ikdjRLlTwOQf08lCClvSIHQYQKWqQw3uAkwGqV1Y0LdKBlyg6NQeZDPcRt7Gnb2Qicuo8xoZD2N/iIuei25IfhMuMGHyZ/KyHWOiol5qQrpOVYGFpSVFiMMhQq7SGNSXuj4Xj3ncfqeRMsAQGmpiXfy6z34L/VaGSWn+NhVnoX4dhfYElO09NHr51nKMks/m8/zEH1TNt0lz6o/ctF+x8o8ZGUfsrD3SJkhpeJz3WX8WytBYNCVJLTesUhSZjZl37e8rHf8/y6e8p/maqKjN65n3dYBpCJI9l9lPCshsVJPfjK99+y7Fs9AGoGnQluMVHffl9ETqdA2AFNqPIaILCJYJCnzJDCm+sHz/W5N5XqSeCwpBNu2oXE9J0lOovUvsjE2eaggOEky/mFxMjGZqr7jX29eYKTCKj0tsBmCjGiVpCyTjJMk9NfBXPyzmi7+3VQYeyVaWjJmKKFxvgsMZTy1O3CQOdZldEPDtrv8WWOkEoI8DWy8zBpWZUbd9gGEUrfm1dP1CabNq8QoUmvIrMGa4MEEMC9Svj1fUqQBvDXRfDy1hiwxJEZHoCp8cs8WRZDz9X0AlfJ0krjN85Sud9N5bTxnajWZNaQ2eCBl1nA6y7Fa0faOrgvjUpHaABAlht4FqWzXe1ZlRtV29L0Pshd11/sstZpFnk7g9rLI0FJSz3raztH2jtTq6fg6brgqITmdDyRGsSpzOucm+d4sSvOKxEaTXzmNm2Wa0HT9dJ9Gy+k+IZgd986jlSSLz9yYwJyCAIx9fbYkSwyns4J5/tOJhq9V3DgSKoa6uMCNl1JGRlOYF4rJX0pOKVnyWA4mbg2W36RaV1pSLnLOvzqhqVtuXgSTbwFsr/e0dYdzHqmOQPuYZNhWHZurPS8fXwGCrExZns9Zns2COfnbbk0IkswG4/DTGeePVtz/9oz7355hM0uShveRSQ35PKPvHevLcF1t3dE2LS++uyQvM84erRheMYM+bGsuHl/x3b89odo1ZGXKo3+4z4M/nPPgd2ecf32CTQwm1SilSBJDX4Y2Wl9s2V7vuXp2g3eey2drkjzh4R/Oca/IaPuhoXbXVO4G55sIygTWthQGKXScYwfAKlMrMr1Cy4zKXXPor2j9jnEmpIQhkXNSNUcISecrOn8IQM/Q4oaO4MuqUcLEzRUflRGHeCzofI3H0bhdBI0CczNRC1K1JFFlNCDX+MFRuSsO/RWd309G/lokJGpOIucYmQZACU3rDtTuhtpdBx+7CIppmaJlhpEpVs5IZIlSH2felmjNKs/4arUIqbt9MAM3WjHPAkgvhORtxJqxRrCn6x03VcWTmy3P1lv84DkpQlLePEunz/GnrMDgUmjtQriBB6UERhsKKciz0E8q+XFXXZ/VTCJVwZ9pYdM3mtK+rbSUnKclqyRnGIaJtvalfvnyfqBteg67Bgidu/2RRIrjci5oTutDG2m5A6BBf2G5vKl09HGy0pCpLAJHt9T3Y0+C2xK8aqJ8XCOLgAkwENPP3pTqMtIvR4ALIB3SyTdqZCgNw0CpC/ww7tYcJ93c8jhvDZ2P7kC8/rMv9fmUVioYLKZJTBbitd2/42YbPWM+j5aMpuLDwLa/5Gn9H3y3/288zP4Fz4CWCQKFlR8waf9SH1SCsAllpMIPPvovJVzUipfVnsf7ze04LySJ0sEzydjJ3/HVuYMSAqkUhmBI3g2OXdfgh+B/tEoCw9pKNa2LxlRPqxSFMcxMQqr0xAZKtcYqzcJm0zW+rPd8v7vhT5vLIPeJ7/VMGXJjOUmziTH1S5SMK75VkvGP81MWNuVP6yv+uLngT+urIGnE34lnt0rxbbnid7MlrhxIlGaRZL/I9X6p12scE6WwKKVJZAFH43fj9iQyw/QptdtiZUZMFfmgklJMZt4rf+RjNnC7CXjcex+RUEag9VWW+jxPyRPLo9PFEVDFrQF3PKYQIKXibF6wLMKcRo1A1xCO41Zjwh2MqW5jittkaE4AiqxWLMsM5z0uRoWPgJJWYpKQDENg6o9G4lMq3NHnNESPB4CFAZZl8J/yfpiOr6SYvFqmBagI17Iq88juvh0fR4+XMfl1fK5lluCWd+9zfLYji2y87h975kVieXQ6n7ymPqTE1DbDBB5JdTsnH88pVPj5mGon3+N8UkXg6esVTdWwvdqzudrRNt0EPI2MpyHe58jUaOuW7dWOlz9cUy5zlmdz7n9zyup8Tlr8CPAkA/CUlSkn9xecfXXC/d8F4EnE9zlA7gObafAD64uQeHf9bE1TtWyv95Srgq83D6Y0wrEOm4qXj6/4678+mSR185OSh7+/x/1vzzn/+mR67wPT+0JpyfZmz2FTBXbZk2uunt5grWZ3c3iN8dQPNVV/zbZ7Quv39ENF52u0SNAyQYmQRu0JgUPe9ChpESgqd82m+4FDfzFtPBuZUZp7DHikUNRuTePW4di+phsqJCoymNIYcBBYUbfrA0FPRdvv8BNTakCgmJkHDDHRWssEZIofWg79Fev2e2p3PV2LVQWlvg/aMzCLbKmE1u/Y9y/Ydk8iSyqc36pyAqoKHUA0S/nO78MfK6sVqyLjq9Wcm0NN3XU8vtmQWcP9eYkbBtToAvIjw/sQLQI651gfap7cbHi23gagvMh4sJixyJIP/ry+awmCsb9WQTboXXiHSClIE0OaaLLUkiZmCgD4WPVZAU+CQLEfxO3f36VGjxH7TvDGl/qU5Zxnt625fLGZuqA0s7yLnUXX9ey3NZubA2luyfP4S0PYOVZfmneqadCPnxIlfv7DeWNaXPzRIG7/TRzPNLkLBg2Enle98ll8K/X0Def8Ai79tkqKGHH9MxY7v1YFs/yObmio3ZaD23BwGxq/jxT0PuzmfW6GVH/LFRdsSggSrTlLC/4wP8EqRd33VC4YAqvouZQqzcwEuZiRclrAnWdFkImJ28UoCE7SnH+cn3J9XvEPi1N+V644T0vmNolSOsEqzfnDbBWlZpaZSThNc06SHKtC2IEkmIoWxvAgn/FPyzNO6pyq76hdkBSP0cqFsZQmoTR2Ap0EgrO0eI2drYRgbhMe5XOs1OTGUGjLwqaUxr7zptpxn5sqzTJJ0dG7qo8BDy6yV4+jm42UPMznnGcFyyQl1+a1eOgv9cvU3XFToHg9XMMNHVpatDSR5fDzQH0RgVUlwyLJDJLx7SFHkOE93w9aiXdeSAlARknfcQ0D3E4rhjsegePlHF/XeA9A3BAJC77btLmjecswMCg1SWOPQbG3XaREodXdY48WCMcAEICS786XHSLrMKzOfvo+31bjM3879PLTdXyeYaRQiuEVKfO4RXlsjfF+75EgdUtZ3V9S7RqefReA+7buOGwqbi62lMucrEhIywB2tHVPWwdgar8+cNjVlMucYpFx75tTFudz0vztCw8hBMZqsjKlWGTkZUqaWWz6Sn8cvye5JZ9lzFYl1bam2jfs1xWHbUXXdK8lB3Ztz35TcfNyQ9f0dE03ye2891y/WL/xuqpdzbO/XvD8+0tuXq5ZX27Z3uyZn5Z0TQDg7pikDz3dcKB2azw9IDAyQyCjX183MZUAarfG9BlOdTRuSz80kQ0lkHEd0bo98CL82e/p3D4emyDTQ4IQ+KGLyofAsgob0JoQRRFVF4CQQZYXfi5p3AY/9GiZYkTGgKf12yAXnK5Fh3b2O3b9QDJUpGpBKpf4oaXz4Z6FkGiRkqoMIwusLDCqQMskHOMjlRQh0CCNNhFV23G5r7A6yGp75wNzU0mMUneA4BEk9UNgV7bOsa5q/uP5BY+v11wfalYDGKVoneNqf+Cvlzdc7g4/eV25tcxSyyxN3q9fjqBnsMIJfXzXuwlE7/qgWtBakkbW08eqzwp4guCrEBOR+bIE/e1V3zm2m4rnT29ggCTRLE7enkhxXG3Ts91UXLzYMJtnDH5A6jDRklrCF2DxV6svn8Qv9bdYbuho/IHG7Wncgd63YXdueDMj8Ev9smWE4jwrkELwMJ/ReUfnx93T6HMnJYnUJEpNrEshoNCWZZK+5s11Lyv5X04fTkDSaZpzkuZk2pBIjZKCB1mJOIGvywWJ0iQxiW5pU9JXZHK5tnxVzEmU4tB39D7I2YAIToXUx0RqrFJHTE5Y2ozS3F0aKiE5SXMEgvv5DCuDZClVOoJr7z8OjubqWkiGckFpLF8Xi2m+5Y8WMkoIZjZhZm79n+wXz8y/2xJCTFsKnxP++F5rrPhfObGq33a8wPF+n4OL+MuSWybXx6zP6Zl/qpJKks0yVkBzaJgtc2xqaOqOw7YKCXdlwvLeHJtavPMcNhXbmz3ryy37bU3XdCitmK0K7n1zyvJsRvoTUjttNWme8P9n7z+X69jVLVFwwKWdjlbS8vucU7fcdR39/m9wu6PvjaqoqlNnu2Xk6KZLC9c/PgBzUhIpkqK0pLX17eCWFjVNJhKJBAaGqSYlVKFuZWkJwZGVGeppiSxIUYduwNiNMNq+NV8wmtQbzarD0I5YX26R5Utcvlzi5//xHNXs3SxSPWhsrlpslztArdv0GHsNM1o450jWF4AN5y2MGzC6BoLnyPkEmZgSGORGuODfRHMaE9hC5xijLM57SFZAMAXOFBgonW6rX8IGYMnBQLIMmZgi48QgIo8lDcAGhpLdqSIYEttKsIwkcIyAoMFuMbgNWnMBxSsoXoEzAW1bYkGxMnkzeXho1wXG1RYAQ8YnAewaYHyHnM1QyWNM1VNIVoBz8oRSrIBgHwK7Xi9SdtDz3DpKb75qWozGYNsP+OVqhSpIXktFQE1ka7oA5hjnyAN1GLHpB5xtGpxtGmjrIDhDJkXwe/JYdQMyId47C302n+L7wzkmeX7vMXEHPNExDiN5y7VsBGMMw1hACoG6yqEecWP5s5pNEHWUwCfuA7L+dcH7RZUxDptVi9fPl/AemB/WMPpu0a/joLFdt7h4vYa1FkJy5IWCEBxKfVZd9Wt9ra/1ByjrNUbXBpYTAU/RO+Ur7vT7l+Icp+UEx0VFzIJ3vCYu/KJELv0+TBLf5H+clhMcFRX+8+ETkq4w8n1iDOm1T6opjss6sRiiPOhdMr5KKhT1DE+raWJMvOsYdyzVXUXPqf0SjOEor7DIygCw7Ra07B3nc5eiNMAMpfSYZjm+m8wT2PSmeHon7dot1D+VNPBrfZ71R7j88R5+32vurrXYex/uxkL6Wu8uLjjKSYG8VNC9xmRRIysU+nZEu+kJeJoWyIoMs8MJrLZoNh2Wr9dYnW/RbjqMg4ZQApMFAU/1rER+K+MJBDzVOcpJgew9wBMXtB6pZiXyMgM80Lcjhm6ENfat+YLRFkM7YLtqyZg9hCclueoNzNUo64sAk3PEqBsDY8rZaKkBAAzeWxhPwFPJMig+wUQ9xWi3GLDGENi3Ho5SMG0D5y0E26TvjMwjxUvajDOv0OhX0L4jniWTYOIAkhWo5Qk8HAa7weDXsJ4B3sEF+Vx8AgqWIxdT5HyGTEyR8ykEU7gY/oyNfo6teYWM18j4JABEJG5X0aeJlTC+x6DX2JpXKFwDxSeo5SkcDIwfoV2HQhygkkc4zP8ZPBii7zjFj8jCD3MMzhis9WiHEZdNh7NNg18uVylkZ1oUmBV5krAJwWGsg7EWo7VYdwNWXY9mGINPm0UmJXIpUGUZBGNYdz1wtaKWfM88tHt6gkme4fvDOe41drEoHybGk3Uew2iwbYd0vNpY1FUGa+tkq/IY9Vmt5rd6wNXQ4WrsUAiZDD33K+MSSohru37OO3RGozUarRnRGo1Gj9DOpoliKVSKTc6FDGlfN3st7FMZu2ZA247o2zFR5gBQNKgSkIoiQZUiqm7fjujaEToBLh5SCuSlQlFQ0o3WFno0sMaRttw6GpDETs/uA4V3PwXChdc65xNSyTjb6YM5p+8piS7atyO6TsNoQ6Ce81BKoCiz9BprXToO58Kf1qcEi6yQyHJFXk2SQ0oBMGqXrhkxjiYNps12wOqqRd9rSMnf0j3fWj6m4ll0zYilaGC0RZaH788lilIhLzKoTKRj9t5DKgEZzMgFJ325NRZdR9eCMxbaX8Foi7Yd0TUD3J7EIMsl8kIhzxWEovOU8h+HZfXOSdk9R5r7AsVfgeWv9XuW8Rq9bdCYKwy2gfEaXxGn37euqzgYJGP4EM+aN0tyDgmO/JahXbK7S0cJ4BKPNplKUqdH+rz4mXEyLr4OuV/rjvU5gSlvy7vu8973AU4PP8/HbqMPOc8vubhgYEwgKzNMFzUOny4AEBPj8uUSRZVjsqhhjYMeDDZXZCi+uSLWzmReYbogL6UIJIm7zt/v1MwssIx2MsK4Hoxrwv11o3ce1jgYbVGUGfIqQ17ufrJ7pgx++y9PcPL9IUkB2ZvbLOEIWQjngQrJbpRKzXzcroh+TCS7owS4mAJHPwwcOZ/CSQPp2uCfZMIGhABnCt678NkhjINMtxA9M6m1GDhiulwGwXMISJKewQb5n4LxQ9hYkelYBOhYJMhc3MMi45MkIaTPFsngXITveExp3ZtlrCWWU9thOwywzpPEjkWWI3m9jcagGYmJHVlPNvjkaUv/7hxt8ChOUvws9NPRGDShKa9ttN0yJW3HEdrejdyxXwwA4+QZF33GjHUktwvBBf2gsWkGXC4baGORZzKEN9z7667VZwU8rXWPv20v8Zf1BeZZiSflBKflBNREdKEmKscU1+nm1nmsxwFn/RZn/Rav2i1edhs0egw7fRxHeRUMMw9wkFcohIfgCu8dcTyw3fQ4f7XGxdma0OdAc6zqHPUkR1nnqKoMZZ3De4+Lsw0uzjZotz19hAfKKsPisMbiaALvPJptj2bTY+g1xtFgHAyEJGaPygRcQLqddQSmCIo01OG1xlgy4FYEttgAFKlM4uCwxsER0SEvzze4PN+ibQYCrYxDNclxeDzFwdEE3nsMg8bQG+iRfsbRwIR0OaMtposKs3mFybxEUaiU9nB5tsXZqxW2646AHyWgB4PlZQM9Gkh5B2OnG6rvRhhDsr0IakklsDiscXA4QT0pwnFTbHtZZSgqSqLIMgnFGbS2WF02uDhbg3OOg6MJ2NEEXTPg/NUaZy9XxMYKXWA6rzA/qDA/qAMwh38o4Olrfa1/tIrA09ZcobdN8kH4Wl/ra32tr/W1vtanKUaUU8hMYnJQ4eSbQ3hHwM7lqxVUrnDy7SGstmQ6frnF2a8X2Fw1YJxhcTzF7GhCjKRCQWby/Qbnfscwesh+040bpx6JteSsQzUtcPTNAY6eLjA/nmJ+PMVkXt3ruxYnM3z7T09QlFnyDwoHQf5JKYF6/08RfJv2gSof2EkcQQweACLyZeJcomAHULwiHyW3wmDXBGDFVGnGwvs4osj07cbhCQjjTISgIR7FrPAhGdt7C8csRPB/4pAEaIFD8gIlDpDxGpIXKPgsHCd5SZHZuMLjbtO8u7R12PYDzjctNv0A5z2qXCXmMAMF7bAgxfPew3oGFsgRLvwITj5RUvDEkBaMSCRj8FXygep0ly45Wgt7A9P69mKJ8RT9myLxxAaWndYWm20PKTi0cVhMS2RShJTnh9fnBTyNA/6+ucL/9/w3PC2n6I3eM0rcye5yIVBhB2o477DWPV62G/x1c4F/W1/gf67OsRxa8mcQEt/Vc4zOolZZilUuvLwddwpXstn0ePX8Cr/89TxcGEqSWBzWmB8SUGEXFRhncI6Ap1/+eoblZZOg8Om8xDgeQkhBxnLnW1xdNKTfbQd07QiVCeQFMZEiC8lYRxGpSkIIjq4d0XcDxsEkBpVUghBKQ8i6sw5ZQVrd89dr/Pq3c6yXLYymSNnFYQ09EtDlvUe7HdA0A/p2RN+N4U+NoR8xDAYnT+c4eTqn75gWKfXj8pzO8+L1GllgCgFA2wzQo0F5C831fdV3GnrdJWqpdQ6cA8++iw8jj2Y7oG16WOswnVeYWmJXMcYgpYAeDZZXDZ7/cgkpBRhnqCY5mi1dz7/922uMvY4cbJw8mUGPC4jwsJLqyzNL/lpf62vdvawb0dstAU+ugQl+CF/ra32tr/W1vtbX+nQVDb8nixrH3x5iHA2Wr1e4fLWGEALbVQtrSC2yuWrw+tdLAp4YI0DncIJ6ViIrMwh5l/l7BJ1oTfHe1fs7tE9h+fDGa0J6WZDYVTMyPP/x339DyXk/HuPwyeKuzQIAUEEWmFfZW6w4FoAgFhJTE/jECHxiLIQSeB8S5iw8OMBUAHFEep1gGfkuSYnRNWCawbg+8YyifI1eHxhV7zjeBH4FoCiBVqGRfLA0cN7AexcIZfH1IrGrlKyJxcWyYGwugAA8EctJvSVX/xilrcVmGHG+bbDuKbW9yt7NWosgE94h+OGMobjBOmYMcrx7HVcwBL93Bel+VAgBROKxllJunfMYtcWmGUhZ5DwyJTCdfLhv1mcFPA3WYDn2eNVtYJwDZwwueQ5QI10OLV73JeZZiUVWYJ4VYGBYjz2etyu86rYohcJ/XJxeM8yslYJxDn/fXGGwFt/Vc1RCQd6A3EVm0dBrdO0I74G8JHAlyyXyXKGaFqgnOfJSwTmPq4smyOcsZvMKRZkl+ZyUHPAeZy9X0KPBdkOMJ+898kKhrPM9FJvBO5LAmdHCWQc92mQEVk8KTOfB+SHS8qJczlCnlYJDZhKzeYXjJ3PkuSJQqdNQmcQ4GCwvtvAeGAaNcdCwlhzsq0mOqs6TURznHGOv8er5EvW0wGRaQCkBrQ2qSQHGGIpSoSgzWONwcbZG341Bm4wdD/UepTKBLJchzY5DSPpTZRLbTY+uJUaUMWTKlhfEAnPhBomDvh4MumaAkAJDp6FHu/dD4Fs9LVBPChwcT7AIbKq8UA9iO5HR3wjtRwyuRWfWaO0KHAKlmKIUU0ieBWqoxOh6DK5JMh/rNcl99vw3BNtRSnNeIhMlMl5CsgyK5xD3pJd678jHxnsYP0C7AaPrYfwI40YYPwbzPhOiUEPkfLoXeZCDBDosy5DxAooXyHiRjovfM2kvfae32JorNOYKrV2j4DVyUSPnFXJRIuNVajvt+vBnl87BeUs7KQmsZru0DSaQ8wqFmKAQE8hIMYZ4J2WediTIzNh5C+16aDdA+yFdZ+s0HAys38XG7tONY1pIbC/Fc2S8uHYNJctu/P5Yxmts9Dk25hyD61DwCQpRQ/E8PdSN1xjsFr1rYAM9GgAyXiIXNQpOr5ecHuKDa9DbLTq7hXFD6gNxl0owhVJMUYgJcl6HvijudG2jQbeHh3EDBtdidB20G0K/C9cqxO2m9gp9SzAFyRQdO6+C9l+le+d9Zb1J/Tn2k9F1sN6EfmawHF/hSr/EcnyJjb7A6GhMbswK58PPsN6k+zYX74+Uz/kEM3WEqTqG2jO2fJ8cY/8ec3AYbRfMP/vQXvG+dMHE08fW2utbCornNEbwMowN1IbsHhMz72lHNJqWbs0VtuYK2g3IRbW7Fzndi4zh2r0Y70dqZxtilvdNeOPxinAf1ij4ZO88viyWqQs7tw4Wvd1ga5ZozBU4BLWVqK61l/ZDGEd2fVK7IZm4Ok+pPjEliqQHApLn1FZigowXaZf6LpPu/XGMvrPFaDtoP6b7nsZNl1KFaM7F9+7FLI2/+33rodcrHlMc90fXhZ+enoNuTKmSLsVxA9cXWgwCcneMnMbTOKbSYkXdSw4V+7/3DiZ4wA2WIsrpPtRBfhLbCteeifvjVibouovQTjc9Zz7X2j1/qN9szeVunAyjVSEmmMgDTOUhJM92i8x7tnks40dszSW2+hK9a9J8JeMFJvIQE3mAjJe0yL6lPa/3+S6MqV16dj+kz8sg67lvn4/zGudNGk97uw1jw26MyHj51tyGxof3z20EE8h5ncaIj9Hndj5ZDNdYN/DJGuQhQvVrCYBSYLqocfLdIcaBUu2GbsTmaov15RbrywbNusXV6xUuXy5hrUM9KzGZz7E4naOo8+SHd1t576FHi6Eb0TVkTn6bNYizDmNPnlNDRxtUeZkhKzIIJXboEwl0IJRAXuWoZiWkEnDGkV2L81CZRDUt7tVGQnDITCTrlffVDRb6ULxExieQvID1I4wfYGwPyUpIPyQjcMny1Nei/9Le6b31uW+WcT16rGD8iIGvIFkBxgQGu4ZgGWp5AsUrZLyGYCqM+T0M+uA1NQSD8gKSE+BE6dp7qYpJcvjxx9RJnuGHwzn68Rna8fNhxv90fICjSXX/FvDEyNPGwgTcQElOa3tjk51PXWY4mFdYzCqUuXoUv8fPCngancF67PG626I3Bs57DNYEBJdutonKUMsc86zAj9MDCMZRSUXAU7PGWd/g+3qBHyYLTLMcgzUYrEkeUH/bXqGzBqVUeFJNcdOtP44G23WHzbpD1w5gDKjqHPODGvODGrN5SVK3TMJ7j+UFMZj6bkQWktyynKRwKpMYeo2riy3OXq7QtkMCPsoqw2RaYbaoYKzD2JPszRhLGmFrYQwQgzZmC3ptVedJajb2ZB4XzesYI1kayfsmYJyjrvMEdjnnYbTF1cUW8IB19D4p6VizLHgdBaDt8nyLy/MN1q/XqKcFtpMCZZXBe2A6KzE/qFCWJHUbB4Nh1FheNskU7yEPoiwnP6Y8AFpFmUEpgeVlg+XlFttNHwApjqJUe35ZPgGOznno0aBrR0gpMPQaeiT5oDEWRlvU0wKLwwlOv1mQnHBWYDIroR7o7+S8xeA69HaDlT7DxfALzodfIHmGw+wbHGbfohRTmpTyAo1dYjW+xkq/Rm+3lLDl2pASQedBE+kCOS8xVceYyiNM1CFKMQEPk6T7VARRnDfo7RaNWaExywBAbNDbbVgcEUAQJ2YePlFrBZNQAWwqRI2JPMBEHqKSc5RimkCe+5RNoN2Ai+FXvOr/jPPhV8yzU8zVCWbqlBb1gb02BG+erV1iqy/RhMmcDot0HxdwjEMyBcVoQTJVJzjInuIge4qcV5Actx6r9w4WtAhvzAqtXaE1K3R2i95uMLg2gVHW6zRRjiAdZzwATATMVWKOiTxArQ5RiSmAGaR4HzuQwJuL8Tf81v43bMwFForOoZLztGs12AbL8RWW+hW06wLgwDCRB1hkT7BQT1DJOQpMIYRCZza40i9wNb5AZ9bp+suwcMtFhcPsGxxk32CuGE2+cTdQMcEo3qJ3DTb6AhtzEdpug86uwwJAwzidjJMZ4+H+ILBsJo8wVUeo5QEKXyMXd+vz1hsMrg19fEmLGXOZFpHaD2jNCk24nnHh6+HQmCt4WGzMJRTLwgTo/d+5UE/xXfUfCNQU2Q2Tv5vby8HBeo3WrrDRF9iaS7ShrRI47XSiyjPGdotcXqKSc0xDe5ViSmChkPeelETQrrNrvB7+jpfdn9HYK8zVKebqFDN1gpk6Ipq7Z+jsBk0AXLb6CltzGRZ5BGTSZJHAURnuQ8VyLMJ9yDLqWxGk/ZKKTFtHaDdiNZ7hZf9nvOr/DMnzvfY6xlQdQfES2vW7tgo/jVkmMDYCxiyAdIoXUCxHKac4yJ7hIHsKyAUUy8FYjrv4X+3uRYfObtK9uLvnN3QfBlAljl2CCVqoiBKlmGIqjzBTx6jEHLmowPndQOibisBJTaCGvsTGXIRnUYPeNRhtBwuTxtW42cYCeEnHVwRwmo6xlHNUYpZATckk7rcw8SkifHAN1voCa32enpG9baB9DxcA7LT4h0DGiwTMTtUhpuoEM3kcNmbuvxnzeRT1nsE1OB9+xvPuf2JrLgNQ6rBQT/Cs/HdQPEfJSCojHsxA8DBuxNXwAi/6/4mr8WVoZ4taLvCs/Bfw4l/AFfnYxDHl5qOOfX57rz4fN/dKMUvjaezzBRfAAzbVjBsxuh7nw6942f8ZV+PzMD7Q3GaqjjALc5v4zNofI3q7TRsQdC/sxn8aTwvM9uY2cfPhsfpcNDwB83sWQ1GPgp3X0QM2mvdLKoHJQYVTc4ihG/Hq53OMvcZm2WJzucX6YoPNssHV6xUugvfT4ZM5Tr47xMHpDGWd38kN3/uYPDeg3fYYBw1n3wc87YAwMCCvMmJXKXG9HzJAKomiyjCZlxCSNurbDak4uOBkUH6PYoHE8EF+ZOBQvEIpD5HxGq05x2i3GF0LxXtIX0L5Eo7XAPdwIdXuIWV8D2sHwK6SPI4xDu9dAJ5Ok7k4YwytOUdv15RW53oyGPclMh4SYrmA89nvZns2KXL8dHyAaZFD39JPPnUtqgJHdXXvfuE9eTqN2gQ/ag8lBTJFVj/aW0jBMalynBxOMJsUKHKV/KA+pD4v4MlabHSPs65Bo0cY7zDYILcLi5JcCORCYqpySM5xXFTIhcRaD3jRbnDeN/hPiyf4346e4bt6js3YYz32+LVZ4b8vz/D3zRVao/G0nMLcgm7r0WC77XF1scU4muTpdHgyxdNvD3B8Okuv7doBV+dbAkTWPZ58u8BJ8HOK4AlJ68gTabPq0m5BZDsdP51h6AzWK5LEESvS78zHDS38F4c1pvMShydTrJct1ssWeqQb0wf/KQZCx4tSgaGiJIY6R3HVQCmBZjug70Zs1h0BWoI8lOpJgSyTmAQwabag7zLmOV49v8LrF0vUmyKwnug188Ma03mFqs5QVjm6dsDycptkfA99BmW5xGRWYDonf6npokSeK4zDc/z28wVe/HKJqs5RTYgppsfAeHIu6cIJeLLoWw0hSReuA+gU21VlEovDGt/8cISqzpEHg/GHloPF6Dq0doWr8QV+7f4Hfmn+CxQv8G357wEwzNQxCjGBwwQbfYHz4We86v9KEw27RGtXe7t1SIyfUs5wnH2HMe/TjpdiBRTbwad3GXxIW21gvEZnt1jrcyz1S2z0JbbmAht9GQCwBqPr0i6bg4MIFFjJMhSiRh52Ow+yZxizHs5b2unnFbzfteNdjst5C+NHjLbF5fgb/t78F/zS/lecFn/Ck+InGE9jQSEmkF6hd1uszTmuRgJOLscXacEbjzvuvhJwR2yNk/wHMCAAdwLcC+CW2FUHB+tocURA4Sus9FkCBhqzItaaa2HckNgiZOQrwCGR8TK0V42FeoKD7BmMN4DyoS0naRvp7bYKrCE/4mr4DX9r/h9cDL/iafnPGF2PeXaSzBhbswwL37+gt9ukyz/InqK3/5w+ja5Ric5ucDk8x/PuX7ExF9joc2zNVWJnVHIO7QaIcL0BBiFuvj/8tRs+LuAI4FzrM5wPv2KtX2NtzrHR5+FaEQMkegAIJlAEllEtFzjKvg+LcQ4mGbG1/G7SdlPfct6ExLollvolLofnuBx/Q2s26N0Wg22usYn2q7UEMN63nhb/gkpM8aT4J5QitsXNff+aGWmgnRs3ojErXOkXuByeYx1Ybo1ZJgaU8ybs+HNa8IkZSjHFXJ3iKP8uuQNwJpH5MtHjb2uvvaOC8wbaDejsBmf93/HX5v+H5fgCp8WfcFr8BOcNBJMoxQwMDJ3ZYDW+Dvfic1yNL9DaNUbXYXBdaAUCYSODLec1nrkWnAmUckqv4A8fe3+vImaMgXY91vocL7p/xb9t/y/kvMZp8RN00QPwUIGxQcyRqzRuXY3PsRxfhbZqof24s09lKrEiZuoY1psE+DPOIW6ZiL/Zt2zYbOjsGiv9CufDr9joc6zNObb6MrEsjNfk3sE4BFeJ8TeVR6FvRUk7jave76aRd3v+7I6LWKQDBttgbc5xMfyKq/FlWnR3drtjR4bUJGL5ycDaVMh5jUpMCSRQR5hnp3CKNuMkU/C8fu9a5XpbedhwPTu7xUq/xnn/M670S2w1gYSDaxJrhkx3iXVViAlqOUcl5zi038J5l5iP9NzM03d9ScwnwGOwLc6HX/G37f+Ny/E5LDSsN3hS/DMUz3GYPaP5CGcAoq/M/b7DAzBuwNX4Aj83/xUv+39LGxOL7CkEk5irUxRymjbArn3CO/q8DX1+qV/h4lqfv0jPnv0+L7lKz5+pPMZx/h0cAmsz9Hl+zz4f5zaDa3Ex/Iqfm/8Hv3X/itPiJzwp/gTjDTjjNCfxgp6X5mw3RgwvsDVXaTz12M1t9sHO0+InMAaUckrPBy8hH6ubBbApmklfYzx58odJZtt4cy7wjo+7od2E5JjMa6hcoWt65GUGPWryfL1qsDrfYH3V4Or1GpevVjh6OkdeZjj57giL0znKSXEn82PvfQKeum2Psde0znL+nV3XGmJHNesWQ0dSq6LOkZdkd5LaJpTKBMq6wGReQyoJM1o0mx56NCQpzNU+dnfLgcYGe/c/B/5ZYIFeZ//s/z4CP4pXqMQhcjHD6LawfsRgV7AYoUDsfXpaS3iYxEYH20FrMWV179t3TLjwnTbMrawfyccpbMaW8hCVOEIpDpCJCTI+hfcGg13Duh69W0PxERZj6Oc0vjqfhWPZqQl23/vxa1rkmBY5fjw6+CTf97HLg8BUrSm9DmBQSiBTEtrQtZKCY1IT8FRXHy6xi/VZAU+KC1QywyIv8KSc4p9mR/jn6dGO2sVIUrceewzOwjh3zdgrRiMLTn9m4fMYGNZ6QC5IuuWCBOS28o4uitEUkykEgxACUr4jCc/v6Xmdo2PhPKXO8T0RsA/bAowzcL5LpePBXCxK8xjfDSAMhHYzsAQSMUZ/ivgZ4TuMsWi2PS7ONui7EUNPcsEop2OcQciAmnt61DMfvoczCEUSN6kknauItM5dcl5MvEM4Tyl5Yh/FVL7dYPewYiy0YTgGzkObsJ0ZYLyGLLVtTJl4+4cxMgrPC0JsT79ZwMMnL6jnf79APc1RTUh2R3JKee/kiZsqsi+25hLGDWBBItGaFdb6HL3dwsFC8Rw1FkEKF5kzHMaPaM0KVxDQ4e+H+TcYsw4zeRTosyUke//xxve3do3l+BKX43Ncjc/R2S0GS4ATxa1K5Lx+4927dnfeYQjRrM5b9HaL1qzQO9qZm8iDxPL5EPO/GAOrXY+tvgqsiSxNytbmHL1t4L2FYjk4F1CsSDJBHx54Fga93RAoBReo6PLWY/Nhwt3aVVgsPsfl8AJrc4bBNmH3myYhiuXvYC7F/seh/QgXKK3aDwncGFwLBxt2KAtk7P0UbAI4e7R2BaZZmOQ5DJbkWYoXcEEqQgyaNa7G54HNs8JcLdHZNS7H51jrM7R2Des1JMtQCQLVrddozQrL8SUEUzB+JMYFexrYKTddLeq7nd1gYwjMXOmzwOw7SywxF3a+Cq5Q8Bpx4RGnL6Pr4fQlAIbBtYnltcieYCIPE8vn9j5PnyaCxDHnNSAZlMtR8JoA1tDnkxwCNrHjJM9DesrdJE2L7AlKOXuHoefNrRVZYZsgY9mYi8SC3OiLIFHswcCIORGih6MYl4HDeYvObuFBY01r15ir08RyI6kktddDtww9dnLYwbXY6HMAHtbbdC9G1iHAkmwk42XqEz4cr/EjnLXQnkAZkkXJR6Fxfy4Vr6vxI1q7hhhfwnqN1XiWWIa93QZgVyETDIJn5HmBOLeh8YOYe2R+zwMgxdntEpp9xmFk/O361hlW+nWQ3LUgYCzbu5d296L3NAaSBM2htw3W6hyL7GliUEbG0V3G+QjMW68TO3M1vg7A9wVau4JxIxwcydIhaSNj73/70g8aS0kK5mCvSaVyUeH9xi1UUeY+ug5rfRZ+zrHWZ1jpc3R2Be1GMMYSg+nN4oyTVFDTs2d0HTbmIrEE5+qUnhM8uybF/fyLQTCFQtSYqiOMvksSbevHsIF1AcYEKswghLrnKOOhHcl+GktziNH1YR6iIEWOSsyQizrJ+Xdj7P6nXO/zG0ObQ3E8XekzGk9tCwB36PPn8CDG1FpdXGMNx/H04XMb8tuJMtONuUR8VsXxdKMv0LstHFxiLyn+9tzGeA0X5zbeJzn6Y3vfMFpoQUhOqoQga2vXHc5+uySv10JhMi+vGXszxpJETAhaJ7Ab4jUZYxCKI/MK5aTA9LDGwZM5hnZEs+nwy7++wHbVYn2xJd+ZMsPkgFLwZod1YBLdDQAf2hFWO3DOcfbrJV787YxCngqFLCeJrh5IKfHy7+d49fM5Xv9ygb4ZKH3voMbxswXqaRnWbLuqpiVOvjvEj//xW3TbHt22x9mvF3hxOsP0oIaQAnlQisgsLMU94B2tO8nfNlg3eEDlEkWVo6jza2l9ileo5RN4eGS8ToAOZxKCF8jcBEb0tCnqDSp5hEIuIFmJWp4CYKjkCUSyAMmheAnFK3jviCHlFmHz8QC5mMPDBS+omuRxklhK+wl5MQ0vPs8igJWJKXI+CYbhJSQr4GExUU/BwKF9F5LwFCQr0rFIVgQZYIGczzBRT8GZQiHmyMX0Ttf8a+0qElSUEijDOldJjjJXmPQaXT2irnLUVQbOH3cc+ayAJ8k5apnhICvxfb3Af1o8wf95/E0CMBw8/ry+wJ/XFzjrtjCeHOCvgU6MQTAOwTgUF2CSQXGB6VggF3S6u6XzzROSCLBYQ6ZnEUgSCRTaey2IXWPdHiAj9gbYABrRoLL71gQ0BfBpB0ZF8Ca8kDEw5gPYxMPrwmvjd4QXW+PQbHpcnm2w3XQYe4Nh0PDOp9fSOYR28LtJHOcsye0oLU+EYwkPnDeSGuI5EOgkUvtwvgfOPXAsYIylNkwAHg9AVoiafOvyvQU4hUhKv5MfFoUi03MPFKVCsxnQNgOWP19gMi0wP6gxHmhMZiUYKx4NeHLeoHeUntViRTttnh4GkXXBwKFYjlxWNDEPE/QoCyJGzUgTKnkO7Xrye/EOE3kAwSQk3n+8xhHosRxf4mL4DRfjrzgffoENtFoHmyYuiqnk68MYDzpsHaJQDUbbow8+QWt9hq25SufivUMtFx/kA0JtFz1A+sRo8nCJ5dSZFQF5gdlEWZUMDi74hOjkzTE6Wlh47yD4+ydnHi4ssi9wNb7ExfgLLoZfsdbne8wmJGAjei1wJpNHiI3H4EYMXmNwHVqzxJK/RG93IF8tD1BLWtS8r7x3xKwzq/TZJlwTmizkNAW3FqMj4Ml5hzZIojqzDtfsPABPK7CwuCiFSuyLwXW4Gl8mrxMOhlrMAfnuXZ8o44xyMWLz/QVrfU6yNrOES46LAXDg5M2SEk68hfYkS+h9ExaC51iOM3TFBsYPsN5gIg/f0+cjhMWTt1YuyE/ACZJvdGZNu+bGJ3kptV+BSs6CD1iegJH31UI9QSmmd5a/RlDVOI2VPsPr/i943f8drV0lyVF8JQvsJskycPC9BbwJTMGefOXsGlf6JTbqIoHIM3UMyENiytzpyG482iBBauGNJzmU63E1EMtpdH0IBAkSKJQAQzrHdC8GiaV2A20AhIXkPjPrSy8PDwtilrZmDet0GHdfB1bYy9BWxLKQoE0yAg+jBJXGDu0G9G5LzD8WgCe8Ie946/td8jLbmku86v+yY9aaJVq7Tq+MEkgpCOiJfcuFvjW4No3zK/4aU3WUgDDrNW0yJDDg9oosp9H1uBpf4kX/P/G6/2sAgNsAxEkIrqB4ljzBAPbGcenQRgM0evKsAI2lkmXIeQ3tFu/dZIzXis6Txubz4Re86v+Cy/E5yf4stb0IzCYVQNV4n0c5WJQNWk/j68Zc4GL4Fcf5Dzgt+uD1OEPJplD4UoAnmr8KrlCICabqKG0c9LaFcRq93WBjzhMLrRCTe32DB42/fXg+kWS+ow0ZliPnFY3HIVI9zine7P/7fX5jLvC6/+utfV6xHOLWPk9S7SV/hZk6C/2A+ryXh3sA2MMqsql1kJqOls45spw6u35jbhPXQhbG6bCx9MbcBi60j3z08TSuM6QUCQjx3qPddDj79RJFmaGelVicTK+BIzyuC4JPq2QMNwVjxXAgzhjKusDsoMbh6RzL8w3aTYef//UFuk1PwJP3yIsM00WNo6cLzA4nyMs3zbffXd55DJ1G1wywxuLst0ssTmaBcVVhsqgJVNv0aDcdXv79DK9+vsDrXy8hBMdkUeP0+yMcfXOAalq+tWlSzQh4GtoRv/7bS6wvtrh4eYXpQY1qUoBzhtnRBLPDCappSesXAFZbIg0ES5a4riknBRanM6hCvQE81ZioJ8j4JPjcFQmkySL4A+rX8B6SE5jDmQTYE2RiChsA9WjZQMBPBtpYWsB6jZgyJ1kBwMPx+tpnO2933nvgaVPNR6uOQBIRPEv+exGk8t6DSYGcz+i7goSWB+/KuEnMA7M/YxycKeRiDslyZLz+Q80dPkVFcoeSAsgBpQSqMsOoLfpBox80ikyiLnOIG0Dih9ZnBjwJlFJhlhV4Vk3x7+bH+D+OvkH0zDfeoTcGvzUr9NZgtMR6sp46dQSgOAiAUlxAcYESChOVIROCBu2YYHBLRTgmghaMESMo0tOMtkStxI5iSrWj3/gA0ERZV2TeRLbSm8BT/LuILCO2o6u++R72xnvimGetQ9sO4Bckd4sG6UJykqZFE/MAhGEPv+FhJ0NlElIJYhvxfU3xO9osUmv3AJ9wwGnZ96HlgwmaNTuGG2fXzz/qVfVIyX1RUhd9rwCkh15eKAjBUdY5Xj2/wvJyi1e/XaGZl+StBQLpPkRy92ZZbzDYBltzSYyEZDrOw2QtS1KwQtSJfWG9RmOW0HYkSYJvaWGsXwPeQwQD6GjUu9+vb9oNj9KnjbnE2pzRrvP48tpOseICGa+CB1KWJljR6HKwLXq7oYm27dCGncbWrsgjgRfhIahQYvoBLUeLCePHJKFjYNBuwEq/xnJ8De16VHKGUsyQiyrslEgyaQ5Gx71t4ewWI4jtBEYgi8D7Jmc+SC7W2BgCaZb6FTb6YgfOcTJizEUVzjuD5Bm8t8kcdLANTNqR3GKbDMtduvaR0QLM39sq8dxau0rXRPsBDDwZpxNLSQOOmGyjJQCnC4yj0XXo7BZNYBhkwctFsRwbc5FM74lxQX4rE3mI4/yHG/uZhwtm3gO25hLnw8/4tf3vATAkKU/0jkqSq2CGavcm0q1dQ5tg0G83cN5C8QI20MBZAEMLUSPz5TuPBQjPgyANzXiFUoxwfCexjrvd1hvAApaRb0v04pqqQ2TB9FXegaEwVYcoxYwm/XeUYNAivMNqfIVX/V/xa/vfkrGs84buQ1ElP7UimHFGNttoW7TWwfoWox2wxRUxoMwaHg487MhLlqMWc/h7ye52FUFF48awGG/BAPS2SawVAKjkDJUg9p4Ik0YbgEQKU9iiC0CUgwNjAoKHhdInSKf5VOW9g3XE1CRG2hrQCCDqK6z0a1RiFtgTdE0FV+DgadwaWJd865wn+RgBK9FD7zYZpwueeSQBfD38HT+3/xWj3ZnWR+NkClwgKbBiRVpca9ejtWsMwZC89StQ+MMlvHcJOCPAegZxB3l1ZK/2doOlfomX3Z/xa/vfELcEOThKOYNiBXJe7/yRIMJxGdqIsR2YazHGDRw/gBtJ0kC7TUECN7fPdVmwdkMAUC5wPvyC592/4nz4JWzQuSQtjW0V2bxRHmbciM5toS2NW63fwGufPpszkZidMrE8b2+r37uumT4HKWEEHQfXght+TbJPY+yU2vYep+TTc3aDxi7RBRk0PR9J7lmJOY33vIDk7/bH2YW79Njoc7zu/4af2/8SjMXpGRll5Df1+TE873d9fokYeOK8faPPT+/U5999ztcleINr09wmjqfaDzRGiBmyNLdRcN5i9HROg21ogwkmyZlE2Ch5zPE0nhtjZJxdVDkmiwpdQ9YdFy+uEkNpcTwlw23Q2kQqCRk8cQGai0O9G3linEFw2vgu6hzTgwkOn84xDhrdtsfVqzX6ZsDQjZQQVuWYLmocnM5Qza4zrW4r7wEzmiSxu3q1wutfLiCVQH88TZK4zWWD9eUWr34+x/nzSyxfrzE9rFHUOZ58f4SjpwtUsxLsDVZINS1x8s0hfcZVQ+DTZYOLF1cUysQZjrYL6IGOASExT48W7aZDG2R5sc2nhxPkVYbZ4XVQlxhBJWp5cveLmd5bhbaI4Sa7sAS6do+zftune+zL8fYrE/Wdj0UiR35PcPtrvVmkDlOCQN4onbSOfJ9GTR5PZfEHZzxFYQJjDA6AcQ6jtQlJtt6hD0bhWz3icmjxotvAeo/LoUNnNWxMUnoXruQjmfb9O2BZJjGZFrBmGkzG+zTANpse04ttMBcXiBLY+UGFPJewzuH1iyWWlw2kIpPqvhsxjgazRQWVCRjjkpP8YxcDS6wsoy2Gnhz4fYxKtB5aG2oFdndoiDGGvMySubr3HhdnG6yuWpTB40mPBqsrijzNcgnGHzapGnqN1WWDvtNY5gpZQdK/9VULlQkcPyETwarOkeUS46Bx9mKFq7NNksv13Yj1skssNKMN2mbA0Gts1h226w6XZxu0e3GReyEuj1rWa/S2CZMCCckV5vyEJlRygVrMUzKc4nlKW3GwabeuCSbaW3MJ7WhxfjH+BgSvg0rOkYkqGYDfVJJnqOWCDJ3BkseQ4llY5JbBq4EAlZg0xRlPu/Cj64IZ7CUxaCwZdpoAql2NL6FYgUJUmPn7PxBjeSCY8a4A0EMo7oaUYoaqmqfjL/kksY44EwSCuDiZ3DF4yCz7KTKWv1euwsCRiwpTeZT8qxQv0KkNMlGGJBq6bpLlIXUt7uLsGE+tXadEoNau0dsNugBEbc0FLsZfILlCJd8POgG0qNSuR2vWKMQElZzhMKavhWSb3jVYji9xNZZhIk3JPvS+VUjdKnGQPcOT4k/pmgsmcTH8ivNhR1kneVWzM4wOfls8TApiaTeQh4Y+x9nwM1bja/R2AwCoxBRSHqGS82vpRDGFKiagOW+SoXZr1kmCQ2bga1wOvwEABGiRqXgRWBHXF+Ik86rgBUh2wyvUcnFtwZmNxC6LZsHaDzAYoXiBWi4wV0+Txw3J1G6vQtSo5fzOjKcuMAXX+gwXw290nq6HYBmmqkbGy51xv5il8YFDpB16AhA3gc12leR62g9Y64u0I08eQwdJssHvKRHx3gW58BWM12HySH1gJo8wVycEjvFo6pylBERaYBGoSP2Q7sWn5b9gro5ph/49DJ4vrYwf0dsN1jqDDOyDCO4f59/jpPiBQOLQXlGmwMCS7ItASVqUKl7iJP9xD9h8d4x1rMG1qW+dDz+Tp5olT62JXEDyLNyHh6jlIhkUC67SDrZxY7gXN0GuR33Leo2tucLZ8DMAAnBrOU8JW7f1LR08rsiw+yqwNDzKAJhXYoaJOgxhFbMEXvIgKSXWnUlBFBG4HV0XTL2PMJXH5KXI6/f2qejptDVXKQzkanyBzm7BwAOQSj+1XKCWi7Ahs88KMGlzqbVrtHad5I2NvkJvG1wNzwEAp+5HsLBRRDJe/gFyrU9XgkkUfIKpPEanttiaywAGxn5+jlJMMZPHuO8EKjJ4t+YKG32ejL85E8gD2DVTR+k+ualG12Ktz7HSZzgffsHanGOwLQSToc/naTx9f59fozGr9Px5u89nd+7z7z5pOufGrBAlyHFuU4k56moBFeY2hZhAsSKNp3FuExNbI3B1lH2HRfY0MAUfn/EUq6xznH5/hH/+33/E8myFvh3RNwMunl/BWYurlysy3A4sp/nRBPOjKWZHU0wPanDBkd1hY1dmAtPDGqc/HEOPFq9/PsfVqzX0aJCXGep5SYbi0yIoNPaUIu8pzhnqeYX5sUgStqEfcfbbJS5frSCkgLMOfTugbwc06w5gDKffH+Lo2QG++ecnePrTCQ6fBl+pN5QwWaEwPagBBnz3755iHDTKukBeZXDO4+y3S2yuGrz829lOWcHCOs04WGshlUQ9K1HPy52lykcsYio98uInfHIQzdzjCf/HmQt8ruW8h3UOxroUMgbQmr3IJDEbJb/zPXXX+qyAJ2BnGEZR7xaDNRDByM56h8EatEZjawZcDi1ethsY53A5tOisgfUueDh9WJG5dQkhOfpOo2sHvHqxxHbTY33Vop4UAfjI0qAxP6hRVjm26w6vX6ygR0MStMQcolS6vFRoNj2a7fDhDfauYoSQe+9hDNE2SSLnYYwDYyTJA5BQzrt9LkMRgKf5QYXlZYPL8w36dkRZZ6jqHN4D62UDa90bbKn7Vd9p9J0Grto3mF7EWjo6naEos8RKWl5scXW5hR4tqkmOepLDWo/1qk03kx4t0Wqdw9XFFlfnDTarFu122LHW3iXhe4SihTt5H0XT5FouQgLJNzjIngX6aZRpEUC6DzxtzCVe938JO2RnaOwKdqBY50rOcZB9AysNAJGSIN9VkuWoxBw8E1A8C4vlgzDpn4fJvkwAClFeCWDwAQwbbY9liKG/Gl/ianwB7cckJ+EjebuQIe7DAdYY/x0lZTxQgbOQtnaYPcNUHoXYatoR3EU5+5TIpx1N0EbfowqmocTIkO9ZmDDkvMZUOQieQfESpZxhdF1qK2IrxPbiaQIZd8rJb+IKV+NLLGVsL2KKjK7HRl/CA6jEHIvs6R3bxSUmRdx5fVr8M+bqlBhEvEJr18h5Cc4EsVHMxQ54sms4b3EifsSBIuBJBo0/B6XwETOBzEwjcDc6YhdYrwHIwJ7clXYD1vocr/q/4GL4FSv9Gp3dJgPsqTpKff4w+yYsKnfSxNhmXVjsbs0VXvZ/JsabJtP+KC2IZtqVmAWQ4/pCPPoLCaaQ+wpWLmDd9RhcxlgC4jQfwG0DMPInqkMSYC0PMJELFPz9O2yCq+RtdJfq7RZX4wu86v+Cq2SO32OqaszC4jmOD1N1BM4EsfQYCx4fkSlAiZRX43O8ZH8mnzU3YmPOMbgGAhITeYAxI+m65PeXiDhvMdoODQgsiOBVJec4zJ7hIPsGtZwHMLYKO+7BH3DvXiCwoMfohpDkFNLx8OmMQj9FERNkAw+/B94LLNRTaq/8m8S+IK8YlhgK0d8vsoPG4J9BiXLTMG5dB33frMG2WI6vgmTsN6w19QWS9B5gqo52iZXZaQgoCAvbcC/acA6doZTWl/2fU2prlD0DNHYdZM+CfxHS8+JdNYZUv6WOhsnkMVWISTieZyHJ9Akt7CESyBbtAaKPjwvjYPRpI18nAvIiA/ZWVljol9ZpbM1lSHD8t5QixhjHRB7gOP+e7kF5iIk8Qi7KdFzxevngsdeGTRiSGTN0Zo3BbXE5Pkdr18ToEjMs1Gno9wr3TUn7PUqAGE8zdURjjXgBzjisoz4i9DmNMQFIvE95RBCGAMkuyEo5kyh4HZLljpG/B3h6s89Hj7zJO/r8IjsN0p3b+vxrvOz/jDFI7uL4DMQ+//ROff7d5+zDs2cJ48cEQuaiTuMpzW3Km+c23u3AV9+jEjPM1HHYMPx4QH5RFzj9/gjWWLz42xle/v0c26sG58+vcPlyib8KDhHsOqQSePbTKZ796YTWBYKhqDIA79/IkUpidjDBkx+O0DcDrl6v0LcDnHUEOp3MsDido5oW5F3L775I5oJjMi8xDVI3ITjGTuO8uUK36dFue+hB02a9c1BKopzQeT/70ym++adTPP3pBNODGnmRvSW1ywsFdkCeU2NQnUwPaqwvt1hfbHH26yWssbAhuj6SLrjgRFjIJKYHNU6/O0Q5KYJty4el2t1egdH20Z7B9/nkP9Zc4HOs+Cy1zkEbMhg3xoFxhjJXyDNFljvRp/oR67MCnniQxxXBi6kzGpdDS8ATGBw8GjNgdBbWezRmxMXQwHqHtR5gnANjLKXhNXpExFV6a2A8GYXfpUNLJRKb5uL1Bt55dM0A7zyMtuh7jemgYU2JeupJ2zwtYDSBG03TY7vqkqdSWeWUFHdQw2gDzjmc88gKRbI2QTI3qQSUkshyCaMVpSwEORvnDCqTyU9JhtdnmYQuFMnEnEeeK2SZhAeS55J1NjGeovcUAWJ7gI4ihFOIIOULbSEEGY6XVYbJrMDisMb8oMZ23WPoNJaXDYZBY+g1uOAwmtLiijKDyuSd4xdZ8JjKcoWh10RBHe3OU4oxLA5rLA4nmC1KqEzSuY8Gy8sGXTNiu6FY1LHX4JzBGoc8J8NDxhnJ8EaDdjtgu+kw9Bree2QZmQmqgPLuTNUfp8gM2gLoKYWEl1hkT3Gc/4CT/EecFD9eW6zG1vfeBb+XFTbmPCQn0Q7cGORTHh5H+bfJqBYsA7tlchblb5GpU4gpanmISsxpN1AdpEXgTVTt0fUohwlyXoEzGXaxL6FB8i3nHUoxRR88Zh5eFK/ce/L2iVHsBAwscFr8Ccf5d+H3xY0L/t0O+QgRpFeSZe+9xlH+RvLBCjkvUclZ8BiindNcVDQhvIWavNEXwRiVmIK93WLFXkF7SsozfsRh9i1dvzu1ig8eJwal1yjEFMf59zjOf6DFrKhIGgBHEgJH0eDxfSz4XHEIzNUJvq3+Q1ocA8AQ/Mhop9ei99skz9E+epKxMGGP1GgEII2kKpfDczR2Ce36wDaa4yj/Dif5D+lY9xcR+30+xqnHtK2NPqc+H2SL1lscZM/Q2hUm9gAQgPDy2gKOM4HsPQu63m2x0edBShd9hhCAsikm8hAzdYypPEIlZ7d+1l1rn3re2Q0tlLq/UqKlWZO8jhFoe1L8iOPQXjO1Yw7uP8NI+kYx7xkvAgD1Ao0jL68GS5RiikNDY0Rc4IDdL855H+xUvIfkOZn5s0NM1TGelf+CuTpJ9+hNC8To72T8CMnUnf2zvrSyTmNAS6b9oa3IZ6zEYf4Nvq/+UzBPzW8066eAgBih7pPsWdzQtvt9KzKeXvd/I3aRXUK7EZJlmKjDcB/Sz2H+TfqM/b5FsmzyOKrGOQbXYKVfobcb9I7YPZJnOMy+QWcI6AbYrebSxlNa4kZfoLOb5POV8wozdRxAHtpUmKjD97ZzTMXrXQOA4uUFV6lv3eqDFcydtR+w1Ve4HH7D2fD3wFQ1yEWNiaS2Osl/CmwqAp7eVYPt0LtNYEuxcH+/CBsfl1gHcOYg+4buV1ESC+4O3oy/dxH7iMzaG7m6JvkdbAt4oFEnwf/JwHmV2v5dz8Xr6YaRTbnE2lzsPLVAcuqJOsRUHqLgNTjelWS36/Mr/fpanzehz0/VEU7yH9Oz5/Y+T+NpOc7Qpz6/fbvP282d+vy7ygcJZgSPZBofaCPwSfEnHOXfpjHi5rmNhg7sp93cRn1UdkxRZTh6toAqJLjgGLoRy1crrC+36BpKiePJtkNC5Qr1vMTiZAY9mOQR+76SSqCelzh8usDqnFQmY08hSUWV4+jZAUnspmViPN21OGcoJwUOgtn32GsMnUbf9FhdbHD1iphcXHBwSaytw2cLPPvxBN/+y1M8/eEYx88OkFfvfo6qXEHlCn5awDmHrMgwPZjgl399gaHTuHq9QrPuKCWvHZMBu1QS5YSCjlQmYa1PbSgk/yhEoI/ZV+772Z+r7PiPWJFrQfI6wjW44FCCg4Ugro9xPT6r2V4lFE7KGn+aHiLjAr82KyzHPt1nHsDl0CIXAn+aHmCRlfAeaA1pfWdZDuc9WjPiz+tLrPWQcNOLvsHV0IVEEgHJ+a0TEs4YvGCQTGBxVOP7P52gqnNCopVElgkUIZEgLwjooUGC0PG8UOi7MSTWMahcoqpzlHUOZx2m8wpHp1OUZYbZosJkVsJqh7zIMJkWGAZDAMpgAhMHACNW1WxRoZrkkFKgrHJM51V4rYb3QF4qFKWC98BsXuHodICzPoBaIqRL0Hnu0iaAsiKmUDUpkOeSqLKBpfXdj8eo6hwHR1McHE1Q1hlOv1lAZgKn2zmBQLkE55wSGYxFWWY4OpkmXff7qqwyHJ5MwTiD0RbWOBhD7ekDa4nYTAXKKktsssjequoMfa9TGh3nDCZQVosyw+KQ2s4YCyHI80qPFtbSd1V1jsmsxGRaoArJdo9ZMU48FzVm6gQn+Q84yEjKw2+kRO+kcM5bTMKuXWtW0J6AgCjj25orVGZOn8fEjYuTCBgAINCEEQMiyp6iO9dtTzgOEXY/T2D8iLU+I18ju/Pw0L4PzJgPo5CR0ToD8wITOcFcneAgexaMnGdhd0/dej/Hc1bISB50D+8DkhNJSA7kqMGYgPc2GVXfZW9G8Ry1WABZABv0S0QDduNHwDEYPyQflzscVTLdJa+RnexPcDomAfLaKsXOJDsaNubBi6MQUyhRJiNSFtgpgqkU0zy4JtH7HSx5MTkNzgWEV/DMJ++VwW6DrPCK0ni8paQ8OcdcPcFJ/gPFYYvJLa1GRrYZigD+HGCmTtCFxS4ZsgefMn2BUkzgcQjJ8y9iARelQnTfbtCaZZCvDQHorDBRtDg9zr7HRB5C3ZJ0yBiH5DlyeFRihqk8wlw9AQNPhtDGDZRQqF+TrINxZMHf4a7lw7HDAwoZKjHHXJ3iKP8Wc3US+lj2XhYhLbSD18cfzNdpv8gTy8AAKNmUUs2yUxxl39E1DR5Yt41FDDTWSqbovryTobhOi+eYxhlZRRGwP1BPA5ByeCOIQt9PQA6NFzNM5CHm6jSADbFvjejMGitzBsEVJhLIRAHcKj3acWLS02HPmHb3DHp/8dD/i/TfMYXy/ale2vfobYPGXKG1SwyugfGazllWqOUBZuoYM3WCiToIzJObz0swSlSFACaK2uow+xatXQUWJ4EXG3OBq/EFJuoQTPI7BUr83sUYMWEhfJB/kT+S9eTVFpMXh+D/FEMdbgeVfbpPRkvG7o25og017yBFEcA/YizlonoL0N7v811I1t2aSwx7fX4iD7BQT3GS/4ipOgoA2g3nGeZcOY/j6SFm6hQm3FODbWDdiM5ssNZnEExhKhmyW+6jmyrObbiXKOUEs+wUh9kzLNTTvbnNe8ZT8NAnsyD7+/jsuei/BABPfzqBkAKL4ym67ZDWIrtUao7jZwc4+maRDMCz8u6bHoxzCCF2wU4MUJnE7HCCk++PcPDk3VK3u302hTRlRRaMyXOAAc2qRbPuoAeTPHXLaYHF8RTzoykOnswxO5qAy7s9u2ICHqWWM0wPanzzT6cYuhFjNwY/KZD3aJAhZrlCPa9w8GSOwydzMiGfFBB39LD6Wl/rtmIg8FUKCgMzxqLtR9hgxdP1GlWZpR/5iAbjnxXwVMoMJ8UEf5oe4nW3xW/NCmd9E2J8qQ6yEou8xJ+mdVBFeTR6BAfDTBUBeNL4y+YCz9sVTWMYQ2c0AU8AMiEh3jMhYZzS8TgHDo4mKIoMJ0/nKRI0JsCRh9MusYFSFhQWhxNYY9PcSQhOqLUihgCBM8Q+ynICbZzzqIMRubP0p31jZyALoAqBTlkyLo+vhweEpJQ578moLhrUEfvqDQSThd0ehnQ+SonE1AIIeJKZwPGTOfIQlyoV7WbMDyoYbVMCHWMMznl45yGUQFVlyO4BPHE+xWRa0Gd4nz7LB/mkUuSrJaVIoJ5zHmWd4fB0BmsspKQHFeOgFEHvU/xrXig461BVORaHkySx8x6JPabyoG29wfzwIRXlatFgNAJP0efmtomF5FnS/k/kIabyCI1corVL8jBye8CTnpF3zy2LSpoQ0kSSeZ4SgKJc7C6+AJzxYGAt4bzFmfw5GDWHSWRgR1hvPlgzHieW3BPV/zD/Fqf5T5hnUWaVJ4nbbee8z+i5j/cBD/R2Dg4uRDCU3UUW3+WzyA9igYwX2JhL5LwmmUI0WWbkLXFXdtjOKyxDFoCnLBh2s9AWxPgpd8ATz8KkWqZd1VJOE6NrBzw58ABo5aKCtMResT7Gwwe2ileg5BKWjIh716ALwFNntyGNJ0cdpCUn2Q+o5Dykq93cboJJMF4CEteAJ2Z4AFujQf4FCk2g2l39sX7vIh+RIUnkGksLpeijlrESE3mIw+wZjvPvoXh568KUBWkkFyR7m6hDLLJTSgk0DkMw6m3tCqvxVQAV7wc6UZG5eAwdr+Q8sQfm6hQFr0Mfu11ywkExqamffowt3M+gSLZDXn2S55ipEzwt/hmL7GkCE9l7xi0EwDw+o98nR9yZKw8B1FyHQAsNFoDoKPE+LX5MBtm3fHuSZVZ+GsCUE2Leeo/RdTB+RGdpER7HIop0v197ETudhTAXdncHABDLQ4j4vN6xT98XHBFl3OQ3tUJvW1hvEtA2UyeYqxPM5DEm8nDP1P3dxWOwhleYyAPM1Sn6fAs+Chiv0ZgVBttgo89xKZ6TbyavcJdAid+7aCzPIDyxkCL4NDpKths8BQdQKEUbUnGLBDK/q5Lcw1sMrkVjVthq6q8U2U4m7OTJFP3prl/T2OdHT4b1EWx9jD5f+h3Yqt0AXOvza6z0Wfq82i/uzUaJKXwSDoWY4ij7Fif5T1hkpyjF9I5zG7aXzvu+Pv84JZRAWRdQmUJWKMyPpvjuX57AaJvWIrtNbYaizlFUGYoqh8rVnfydgCA9Y7uEcM7paZHlKsnQDp/Myaz7vswMFjbeBUNWKBx9c4CTbw8xmVfQo4EZzTXPG6kEAUKlQl7S+eyny91WeZGBh0CjyUGFJz8cB1Nz2vSOPrRx7ItrNZkp5FWGvMyQFSooSL4CT1/rMYqlQDHBOYxxaLsR/WDQ9SM2asB0UuDIexSZBB4R8PzMgCeJo6KG8x6DM3jZbXDWbZNhOMAwUzkO8hLf13NszYhGj+ishuQcU5XBeo/RGazGDpfep/0z2lXxmGUFFlmJUqpbdYtp8gNgMi0xmZZ7yW27tLs3qWjee5SBevlmct4uFeL66x9SdxlkvffJ2wlslwR33wG6muSoJtelAN6TvND76wuY/c++7/dkOaH80705WGyf2O4xFfDNNqyn+d5rWHrdu47FO4+ypraJE4U33/PY9MK4+yeZQi6qYFy8z/x494KCMQYBlfT9lZgFideCJj9sCwtD6StmiUYuUIiamAk3HQsjPgyAB0tcGHhKGxrdEGj3ZEbtYOEdxV07b8k74Q5pezdViAsA4FHwOrEsYsKQ5O+fxOyf830qetTQokg8mFEjmAIXErmgWOgssIyMN/AwsI4kcA7uzmMCpbWpYJCaB6+J3U4iY4KYMCmVTQGMGE8ZL4nxxCuSS2Fnss48EmU/vo+Dw0Q/FG9gnYbjFgi/M26XQNfZTZB99kFeWCS2xEydXPNdubnP73bKS0msp1YeYnQdBBPB4J6Mrstg+vthks5PVy4wAju7DZKOLXq3DX2ZFnS1mAeD5Civuxlw4InBp5CLOkhmj9Bb8iVhYMHoeou1uUApZtDyEPe1+gTivWjBwFGKKQ6yZzjMnqGUs+Sn9b4ixhNwOyPmj1C7kUuyDFN5iOP8e0zkAbEZbkjm2q+UQHvHxaSDg/aUOhh9v6JXUc6v94+5Oo3fcmPf2r8Xc16H589hYh8yw5Mcb6sv032+2yp8x2eGTQBa3O9YSdbbvcRUYs6oIBtP8tAIve09Q/b7/32KgisGtJYCDDq7hnbdjqUZ2C61PEAl5yjvkKIU2VYSSJ520RuvMcs9L6MlVvoVmXGrh4dvfMqi+5anoIZoBN/bBtavYeyYrl1r12FTRkCJm0EeSu41IZ2NknJ7u02M7Zg8RwEPk8A+vj5uONiQckgMvNjvORPX+vw0AEjhbO7Y5yuUkvoBpcE2KckvSsHjnOy2Pn9TxfHUw6MQNebqCY7yb1GJGXJR33FuE6H7TzeeirAxnRUK1bTAwen73/OQ8p7sQUgBYeF9SJyuiEF09OwA8+Mpijp/AOOJJfApMqie/niMo2cHj3oOLCheVC6BCTDD1zS2z6G89zDuuqk2EEBGTv17HyMw1kFbC21tSlf/2EXPOvob5wwiYA6c7X4evFZlO2AXLHpCO4yjIW/oQYMxYFJl5Jv9AWu4N+uzAp4yLjHPCvDAsp6qAt/VcwoeDxjBaTnBaTnBYV5hsAaDMxitRVR5a2ex0QM244DeEtOHvBHIO6qUCifFBKfFBIo/dCFKE/b3+sOw6Fni3/vaCKpc+136v/3PvNfhhjfF3cQHvPd9Hx1Mbj++LpeBsdsWShE42h3XLR9Fkw6e/vPjNVD8SsahQqR7Wsyz+0kKyBQ4p4mYnKO1GwgmoJ1NC39iN4zw/v6ToPtXWBKxGFlPMd/WW5pMxYRJxCTJh7UvC7t4Uf5Fk1Ba6H4KWvljFbGJwsIryORESCejSWsc3N/fVlE6mBKf3pHOxwKfRDAZeCXs2u/IN+ImqU9g6MWERMb2UkHJSDeyED0cRt+jNZudZ4t3AeAqrjOu7mnAGndzM14gExUUy8AhglfVGKLhWxg/wj1g4v97lPEGvWvR2CV625DUEgROFLwOwGQFwePj+e7tFVkJSXYZwDtKv+sx3CFm/raKrDjJ1U6uKSlZ8I8qmXt47e645N0iFsh5Hdihj1/Oh00IuyKDeT/CwxPLkVeoQyT97vvvcS8ykt1lwRA9+idFw/g+pF4ar/HuWGEqxXOUco65O0FrllixjAIFzAqXw3MCshwBsrNgKF3wSZIRS6YetInwdvkQ1NGgNSsM4b6I1ysC2vk9wgL2Sya2zgE24hwy+HhFT7bGkLSP5OhfVgkWjcaPMTqSiPeMZIqtXWOtz8JzRgXA7l39jDyOetdga4LflyePQ0rHrDCRh0nCexM70IZkz8as0NltGk8Fo42eWsyRiwoiAb33GU93fT4P8zaSyBNrdXAkKySG1v0Xo2luA5U2g8qQXnrvlLw/YFlt0axbXLy4wvJsDTMaZCHNbnpQY3ZYo56WyAr1sLXR1/qHLesc1t2AVdejG3djcK4k5mWOWVkgl7txvxlHvF5v8Xq9xWg/zSYnZwyCEyOpUBJ1lqHKFUqlUCqJIrufr9y1CqDuqC2sdZCSo64yCMFgA2GF8whKPeZZfWbAUy4EOCtQSYVZAJ06o68N56WQKKRCxiWcd7DeB/SRhv3BGpz3Dc77Bhs9wHoH6zxKqXBc1DgqKsyzElOVPwh4AnbsmPu8/raKDKr913rssXyuf9r9BtgIsnzE+hRmcOw9wND7/v1dr/+UJnY8sk8EJT7dRZLydgW/J047jRtegkPCo6cJdNglNn74hIvwAGVEEASS2IWIbJjdvckeCD5Fb6zoZ1SGndbo4/ElVQSMIvvNsHGX5pbgc59ee/MHETAkuILkKgBwb44UCH5WIsh1eHgrLQgUz4Mf1NvjINu7rlHmGZHwCChGVNwFpkIX0py06+HggiE7mbEXYkL+YfcGJ1g41iIwgugziGWlE9hqPhnY+uFlgxlvY1bog6cMQKb/BE7MU4rRfe+X6MOyA57I74t81wb0Hww87QDPLCQ8kkeduMWn7h+zIsjLmYBitGFAMtObjdc/tCg9tQuysW0y7haBaVuF1EFiW92zbyXwf7d5srsXiXEy2hbW3b4IVzxHJWawSmM1voLiOTw8WrsOwMUKfWBOdnYdzP2PAblABkBwgcdKgbNuTAydMcjsGGNQvEAlp6jFHBl/21foLhUT9mo/ohBT8kcCpR0OriHgybaw7mH34u9ZgimUnDweB9tiCLLqKLuMErRCTG986nt4aN+jtStszCV6t03hGornqOQCExWAJ67C+PL2JzlvMNhuB7a6cdfneezzEWx92HhKYGsJEQJJnHdhPG0w2g7G6QctzuLcRqZNmgmq4NH5JW2qfawyxqJZtbh4ucTybAM9GuSFQj2rMFnU5Hs0I2Pxr6bUX+s+ZZ3HuuvxYrnGsuvT7yd5Bu9nKJW6DjwNI369WuF/vDhHM46f5Bgl51BCIJMCs7LAUV3icFJhUZVgjECyhyKu0VRcGwsTQscmVQ4pOcbRYtDB3wwsvf6xbrHPatUmuYDkAiUUZtnDzBZ7q6GCeXilM1jnYJxDJRWelFOclhNUkqIvxUd0249sJQ+/Yy0FEMgHNIkBsNZBW0eG14HeJwQHvIcL73fOB4Nt8m+SgkNwljyuvMeOchcoc/CAc4FKaB0YdvTY2JlYQDLTMUaQiu2O/Zq8be+h/akG+bt8z5eQmkA+LCoZeBNgcr9oVAbsdt9EDcXJTJI8EjRG14dFpb6zXIsieSmWmuKpbfJxuQaIeP/GYmL3X1u9S6HZn9jtgBT6rwcznoI8LMnKePkgI88PLfKae6O9vA3sn9hWLtz7t7SXuYJ2XRoX/O4L7rxrSjw5MhWNcpW3gaoAHzFO4FGU0u2zpSBv6IMsAU7XP/dNgIzOWbsRvWsx2Bbaj/Bw195nPElaVuOrO0mMYllvsNWXaRFNfXsXe63dgDH+/gE7zr9HUYoW+ZHot0AgaleSEV7emHZ2U3VmE5gULXmGwSRWmvUjRkcgtfPm3ndk7EuCSUiWhXTJ2/1S/pFr/z6TPEshAHeRzzy0CASmBfEQngVUu7uDEkiXWOqX9/rs0XaJpWOCz5oP7Mf4/NF+CP355ntRsiywYDwm6jD498yD5KqFDnH18TMH12F0AwbXkqE1r1PKVzIRRwTX7zdHoe/saHzxA5y32DdUj4D5Q9gngu3CHfavezyvzlJSqMWXCDxJFGKKqTomfy9zAcZ4MJrfYD2eoRRTTOURsLdJ8eb8IHpsxYRDYiuxZAg+lUfBS1LduGmRGHcRBHpHoIn2JHW8b58fbIfGXGFwxCR33oSNF5d8DXUKBXkA44kFA3Yex9PfZ27ze1Sao+6tNbDn6+qcQ7vusDzf4OzXS6zO1/DeY3o4wSIk0ZXTAvk9jMrffSB4fErH1/rsyzqHTT/gZWAxxTqoStRZhpNpfe313ajxet3g315fYDsMQenBPyrTTnCOTAgoyTErCqy7CqtuwOlshLETSM6RSUnSwIck0O31fc5Y8mrm3O0+6yOc32cFPD1GCcZRqwweNSYyD4a4HpmQmKkcmZBJG/mxyjliYbnosRQvLOcBIIrKLoZuNGjaAdtuQCYlykKhCsZ7McyuHzT6QWPUlhzmC4UiUwSqWVroKsEhg6G2tZFCZ9CF9zLOUOUZykJBSQER0hy890njGj2rBGPEJAuDvwifLR6QGvG1qCKhmuRVUfp03w8hMEBwGaR6Me3EB/afgYWB8yTbukvRJLgLE/wWo21p0eo1bIg93wFSO3AlgiQeHr3d4nz4GY1ZBsmTvfP336ViqpOM0rDfiVlBUt4eOgB8QwBaRtfDemor601qrwRGhYlqZAst9StcjL+F95kHMnX2hXO3J3S+/eTYvfdNQPl9730riQoBkAsGrwRq2ACGGnRmDYD+3po1LoZf78VS894lJlVryIuFFqYxY8/AwQSG35cxefRwMF5Du5E8vsL1H12PrblKC6m1vri3YToxz4gt0ugrNGYV+uJujNgZhN+3IgCcQfKYXveV5XRT7TMLJcs+iY26D/ea8QOFFoT7QrsBrVmmcICtucLZ8Pd7fbb1Gl2Q0zZmSablToMx/jYQf8vn7MztGQ7UM4wF+bZtQ6LZYFsYN2CjLxMwsRxfBjPrCYrgg1aKCQoxTelqBa/3nol3KxfMnY0bE5C2AwxjP38Ym+La9ecq3Ssu3P8mgHRfClNzvwRTKESNqaegkzywwozXAYg6w9QcQrv+lrHGJ++rtT5DZzaUlsp4MhSfqWMUfHKrd1zs89rv5ivk30WfTT5SGlt9idf37fNOp+dP6vN+1+d3z/sHjqfBGJ82I9U/HGtn50PrKCjJkJ+THjR0r3H22yVe/3yOF387Q7NqUU0LPP3xBE9/PMH0sP6a8Pa1HlzWe2yHEWebBr9drdPvR2NxOptAvxHspa3DuuvxerNFO2jkSqJQMpE+Psaty6xFrynxcNMNONs2yKXAt4sZfjo+hLEO86rANM8xKe4HwDJGAWl5wCr6XqPtNLp+JF816+Cc3FNjPd55/SGBp4nMkAtJLCHQcoQzBsU4JBfUUT7S93sALmgnrSNQxzqazAjuk2EZgU8e/aCx3HY4XzaoigxzWwRG0u7ztu2AddOj6UYczMjMW3CO0VhoQ0ZnRSYBBnDPoY2F1hbtMGK97bHa9hCCYT4piREFDynIANM5DxMYV5wTmwqC0+8sUfAyJcPxfx3kH1rEMBNpl5Z8c+7/OTxMZiVTEBAA4wEKCsCTN8Ez6G4TIeN1MKKlJLKtuaI44wCsjLZL0e8xNplYUi6wf4hJQTvsTdptfDz2SfCPCjuCgt/E0Pn4RcweYu5QZPNViOFeB/CuTYlrNAEmEDC2U2RG0Q57g9F3Ccx7SO1Ap/cBT/Tq/b/R4iqCTh/anh4WBsaPtNj1BDwaP6K1Gwyuw9YsccF+Jancvb7Pp/a0jtL0tBuDt5wLi4odyPcllPcO1pnADonthcRW7O0Wa30Oxf92J7Pu/SJwSYc2G2HcAO8tPCP5K4HT0VPsfsXeuBfvu8j/RysG2iSIklbOxEfZPdwvuicikLK/CCc2D6WfXuKc/5ykX3f+7PiMcaFvhYW+ZBn1O9ytb1FiJYfkCovsKRhjyEWNi+EXMADGaWg/YjAdNuYyMOwIwCHgaYJaHlDanDrBTB3Bw1NIAhOByff+hqbAGZvGFbeXwMohILkiwPCB/TyaqO+89Ig15X1kywwBOP8SgSfyeGJMYGsukYkKDJzASbuBh8NCPYX2tEnwrvIhIS4BT3YD60cwJpCLClN1hJk6RhnSc2+qGHhh3BACOizgkRhsvW2wMZdQH9TndUpzfbPPE6v0/s8f8sekfhYZfP9oQL53nlLwjIMeDfRoMHQjum2PbtPj7LdLvPr5Ai//dgbnHGZHEzz96RhPfzzG7GBy51S5r/W13izn9oCn5Q548vDY9AOMexN4slj3A16vG/RaY1rk8MghE6Hk8R/uzof1uQvG5obMzc+PWmjnkEkB6z0E56iL7H4MdgZIwcGYgrEe1nm03YimGxHHbOsCE/GRT+3BwNNOdkKLzCTpAEuLUwA7g9o7XBSXdmXJJHx0NhiHB/YQffOtG9uCc1RSoRQZsuwDKZgPKOc8hpGYRtrYYNJFtDUZmEPJlZ4zNN2ITTNgte0xGoto1qyUSK/X1qEfDJpuRFkoGJvDOo9RW3TDmIAjbRwEZ9Q5jUXTjVg3PVbbjkzCQN85aBnkepyYUcZi1AZSCORKIlOCrkVga8Vj/1ofUGzfNyfeDw+ZzEamSvTeoYqSh5vYDPu/s05D+wHGjWjMEhtzia25SDvOxFwaiJHhxsB22u3sXZOVeU8pXX4IpuL7tPrHqZhkQ2wn8dEXu9faz3toPwZJV4utvgztdZXaKkoEaOJrqK0SQ8wlxlP8My7adqDTA9sr+Jrdlor4zj6WxuL4vg8rYuvupJqR8UDjNk3KrTXQrAezHwp0sbSQy0QZ2CTqmofV517x3nFvsI8I0DVwzMGAwgI+9Jw4k8iCyS7JfUJ7PdC4NhrTk8TzflLhWPsy4J1Z/fV7bv++YOHakjm/33unf8fr2bW+sP/7dJ98Qpl4YrmG8fpjF91zDjayj8I8LC6gHRysJZbrh/YtSjYtk+RSsbv1rehf471ELRdB2pYjeh4KlpFps22TH1kX5IO9bSD5MoD9xM6lnw7aDSjFNMXb07MiyIVvuOa7ezGM12GWHZ85nEXvsgc+qxkH9+IaKzVeI2IiPi47+FMVZ4IMsJkg1hmvkYsSvXUBfCKW0GBpM8Yz/9Z96bzFaLu0iTO6ljZFmULOa9RygVoeIBe3e2xFWwDq73bPV/Jj9vkipfoKlr0l87zz50WpXZTL/yMxnjwC4KQxdCO2yxabqwbNukO36dFte1y8WGJ9uYUxFkWVY340xdMfjnHy7SHqeQX+dTP8az2wGANyKTDJM8zLnV3AJM9RKPmWFY91DoMxaAbykCuUxFFdIZcyKYge++7dB5w2/Yil69D2Gldth9frLWZFQZhHpnAyqR80tY5vcS4kSBqb5mjGWDjnHl2K+kGMJ+MMRjfCeouMZ8iC54x2GmMw+Iu/F3eY6BrnQkqdwdXQ4XJocTm0MM7BePcGAvnuhqhkhu/rBb6bLH4XrbS1Dpumx8W6RdcHfwVGYJIMHksRUBKCY9v2aPoR/agJ5AFR+qZVjmmdo8gUaTc521toAoCHNhZdr9ENGq0UUHIAZxzOkbywHzTafkQ36OCT08E6l0AkD0BrMhEbRo1cKZL65RmU5JCStKVKcDj1hyPH/Q4VodN3CZYe8mm798decZfJz+BarPQZ1voMG32OjbnARl+EyTtJycg3iBasCSyLk2d2/buMG7Axl+EzmgS4PFbFhcPOb+jTTc4cHBpzhbU+w1qfY60vsDEXaM2SPE1cDwcbFikKBS8C0L6/4NldHQBJMrY1F0Fq4R+1vX6/8tceUBwckudQSbKiQjrRh1+/GO8eDZszXn5h5tYeb/qwiT0ZG/2p7s14uqkyXqR0sJQw+KBPivffXVh2t5VPi08Pk1hyO4B2B5qItLiT2PmpxT/tHvvShkVcnhLEfABDWQIRPu1zjAV59JtjwMevPUDbI0kkFc9IQhZ8px6jJMtQiCh/o0Suuy7w6b3RTJmjkjMc5t+iMxu0do3OrtHbbTLFj5Lexi/hvEFnN9iYcyzHA1Rygbk6wSJ7grl6ksz1H5JIt19fHiz0KYpAVTCENLYJarGA90is1NF16OwWrV0FXy4CJyPQR4mCLTGI7QrG6QTsFKIOCW/TO5rxJzfKVB+zzyuWIReTdJyK5Q+TY2InfP9HY49676FHjW47YH25xfO/vMLzv7zG5csVTGA/6UHDaIvjZwc4OJ3hm386xZMfjnHwZI5qWoCLf6w2+1qPV5kU+GYxg3Ue3x/uLA2mRY7vD+cos5vnXtMixw9HC/znb56gyhUkF1AfgZzhfFRNeVxsWzxfrvHbcg3JOfrR4O8XVwEAK8Pod/f7wXsk0sqoaR0iAiFl1AbaWAyjgTEO7pEfgg9nPMGHWOge2hHAIsLDYXQjWtvSxFoCMuz4va+sd+itRqNHvOw2+Hl7hZ+3SwzWYLAWY0j/uA18O8hLOO9xWFQ4yD898GSsw7od8Ppig3XTg4cLKQRL5uFKkkt9pgTaXqPpRvSjCe7yFt1A7VnmCkrS+/neAjY+34yxaPsRm3YIwNJOa8oYg9YGbTeiHyhxw1qHfjTpOI11GEaNbjToB42yUJhWBaZljrrM0k+uZPKp+lofWh8KNsX/f/jn9LbBcnyBl92fsdSvAqByvvtMxlCKGSoxDQlGtLMXpQy0gBNhV5gTM2MQGF0H7fvAgHns/rIzz/+U5bxDY5Y463/G6+FvWOtzbPQ5WrtOE0XJM5RihpKXKEQFxYrk65FMb8POOWMcq/EVPBxJErwPLKEvufZNQnfjM6V5ZchFjTxEsOeifBRmEmeCkttEGZKnyi8qBSjdHn53L4uQbJSLOsR3V/c2F7+ponFtziuUYgrJHvC56fnyoQBwXCRG1tcYzOHtHvvEBsNeIEMNhECMyBJxCMzCN344y5AJD+5pauO8hvOa/FPwacePHTz/qQHz3SI8drNodB3vmTwk0z1GSb5LuqsCUHDXRXiUGOWiRClmOMi+CebnV+HnMoD+Z9jqK3R2jcF1GFyD3m4S86YIIMBx/gMcDHJeJwaJeOA091HGZP9on/RZFQMj1iM4stD+tTyAcRqtNQlU6t0WrVkBkqV0R5ekcSNG1wb/vlUAjUUaA0sxQxnkfHffVNgfTz9Vn49g60Pu7zfHh38cIMV7Dz0YdNsey7M1fvkfL/Df/6+/4MVfX6dFTlHnODid4+jZAt/80yme/YmAp+lhDSHFV8bT13pwKUHA00FVQlubfi8FR6EUylvIFtMix49HC/yfPzzDvCxS8tzHKB/UXi+WG/zb6wsUSmHZdmhHjcumw6wo8MPR4t5PGY/oBU3WPD5I9jhncJ6UW0PAJeIxPNbo9EFbQdpp9LbHYIcwyO8YT61t4TxFauc8h/S7r7ppUtKaEWddg9fdBq+7LS77Fq0eie3kXTp5ADc+y+OC9/d61HvvMWqDJgBC4hrLiX5GwdEHP6V+NOhGHYy8AgppHOpSYzQGNngwjcZg1Cb4OhFo1I8GbT9i247ETJIk43PBW8oYktEBIG8n74P0z2M0JrGdSBIYXj8a9IIjz8hLRyl5zZfqaz2wvL+2qHqooWii6V/ztYnpZTHZ5+2HsfcumV83Zonl+Brn468EohjaWc5FlXYZKzFHJReoxCwAT0XaeUwShDAhbC3tTi/HVyAmhHv06dMnnZh5JKP20bbY6AtcjS9wMfyK1qxC7PcYdvinqMQstNUchahTe0UJGKUu8QBAkaH/xlw+WMLxuRV7o/9FDz1aFFKMfC0WQTqxeBSAiDxYshDNPkcppvcyLf99K6bDXb9fRUisLMU0yUwo/evDK5ocK5ZjIg+QiQIP7Xsfehe64D9l/RiAIQPnNaJPyr4MEQC4E4HtZGFcD+P7BEoBO5mnhwWL0k4/Jv8560coXiHnU3AhAL+77z6utIXd8PeP+Y0xxiIkvQWwjUMmgCbeh7VcPMp3CiYDszHHVB0R6HMHoIAAzCC7g4cK6YjWG6gAGFCKXYWCT1CJORqzRGOX6G1zLeghegtxCGL18SmsN6jlAlLe7CvHwrjMo/di8I7zQQr3If5x1JftztA/PPOjLQVH9Hv88p4B+0xexfKUYKddj9H38MZR0IFZY2MuwRiZaBd8Aut1Yjr1tsHoWnqectqkqOUCpZgg48UdGUoxZEMkeSXwrj5/gPqeYQ031dt9vvrADZUvsRd8aJGSQwgOpSTyKkc9KzE7nIALDsY56nmJ0+8OcfLdEZ7+cIzjZwtMFhWK6mEbMpwxTBYVnvxwjL4dcPR0gcOnC8xPZqimBYR6PPBg92wzML6H9QN5mCWe227sATjJ7GHBwKF4BckrcCik5FA3wPgWxnXgTEHxGopPrs2naJwxYewaYN0I50dIXoXP3AGvkVlMaxIdji8+W3cjXuyZnGWQvIBkRfC943gzmdu4Htb3MK7fSeQZT8/43Wc70DxIBZkpsRIFo7Hahg2juMHkvQFjEpKVkG9sMu6ktR7GNRhdA+22yPgEik+geI13Pe8F56jzDHV+fxZkJgVmZYHT2QSLskAmBZR4WAjFXYszhk5rdCMlODfDiIumxarrMWjz4aBHWOMLzqCkQJFJZJmAlI+f3PdBjCftCWDqTIeMZ6hFDecdMZ5MC+stcp4nv6f31UYP+Hl7hf++fA3jHBgDFnkJwTgk55BsJxG7qaYqx3FRoxC/7yLEe6LJwe3yLoiVRMDB4Ewy9h4DoujAYB0BbNoQ2tiPGt0wou1GbLsBdZmhGzQyJdANGk1P/y5FgUyRd1PTj+gHE0AnTyl2giNTcmdGplnqYDGBLwJjIgBPdZlhXhfIFUnuvtbDK8pKUvIZ3IMGCh8SWmJ6nA/yzGhcvjMvf0Of7DUG26B3DdbmHGtDu8iDbeBgoXiBuXqC4+w7HOXfBZZKjVxUydw1Aii0YNjJyaTJcTlMAqvxj7G7q/2AwW7R2FVor3NsYqINGEoxxVFoq7k6Se1F8g4ZzGRjG4Wf0G6dWSPj5R9oqsnCRFylfhKtz+PEf6qOcJA9w0H27FHkY5HJQOa9JSo5+2BJzaeq6JMUUxqj949gEpmgc1lkT3CQfRPiyB/hO/fGh5gM9nsVsSHWGIIJMZI0d3c/xN8jTEKN6wAAnV2it0s4r9NEmkMknxcPDW1beBNN1gcYN6CUB/DyafCl2U2a/2hFSWqS5Jpchcn/jk1Xyinm2SkO1DMssqeP8p08fCdnEgUn6dGH+FnxILeCJDZpzmtM5RF6tw2yuyZ4E15go88JhArXuTFLXI7PQ8LaCM4YKjnDu651BIAiKLszdyZ5pg0pnRYGDwOe3M7k38eEQbpG0Sxd4Ms3lBZcoRQzzLOTxGBijEGHcInV+DqBTgClzbVmjbU5R2c30G4EwJDxEhNxgJk6QSGmEJcsy/EAAQAASURBVPxuzwnOWHgOZOm5i/C7a30+e4aF+ph9/sth3H4OxTiQFRkwB8CIZTE7nGC7bGiuxBmyQmGyqDFZVJgdTjA7nHwQOMQFx/G3h/j3/+8/4eS7Q9SzEtW0xGReYXY0QX7PZLDbyvqBQBC7RWfP0Zlz9PYqbTbtwKMKnClo10K7BoJlmKjvMFXfQXERQKERvb1Co3/D1jxHxqeYZT9hpn56A3jSML6DcR16e4neXKC3S0zVt5io764BTxTcMsC4Htpt0ZlzdPYMo9teeyZHT9mMz1DLJ6jUEyhGx8yZwv5zW7stWvMarXmdJO+cZRjtBqNbQ7tmT/7OkPEplJgi53MU8hCFOASHgHZber3dQvsW2rVQvEYtn6JmT4Fr95pPKdKNeYX1+Hes9d8wz/6EWfYnzHiZzuOxKnoxC0aKpE/hzaaEwKzIcTqbYN0PeLXaotMagzFvGaHfpRhYwAUEjKHUeu8BxhmqQqEqFaZ1garI6Bwf8Vw+yFxcO43Odmhsg9rVsLCQkAl4Mt6glnUyHX7fQms9EvD0f188x0wVeFJN8bScoFY5apmhVtl717WFlDgpa+S/E/AUpSbRnJuwJwt4Tz5PnAXJm0Y/kq5yv9Na6+EYMGqLQVv0gwkA04imG9D2OfpRIx8leTt15OFUlznyTEBJgaYf0Y0a42iRZwJ5JpEpuTMOd57M0ML3Cs7BBXU678l7JFcSdZFhPimSjO9rPbwo8tcGJN88LM0sme/rBGB5eICxtJiN4NCbO+zWG/SuwUZfYJP8is7hvE2T4IU6xbPyf8EP1X8iE2KeQbEMiH5F6TPD38L/kcFoSJ75Y+BONDm269BOUepxkbyKSjHFcf49vq/+M47y76B4BsnC4iXtBu95YaXLwbDWZ8j4wxknn1vR+CCSP1E0gN8xniaYqmMc5d/jafFP904WeveX7lhw++yBL6FSzHroL5EdEmPmSzHDQj3Baf4TDrNvHulL95lpv29bWT9gsBs05iwdUzRijoD27rA5rB8BBzhotOYcW/0S1o8o5SFKcQi1N5k2bsDothjcFsZ1MGH31fhvCKD0RwA4Pmay7e9ZDLtFeGRcIlxzxQuUYoqZOsFx8QOe5H96rC/duxcFRGCePPzjSL4lWYZSTDCVR2nThhhOPTbmHGf93yGZwkq/xtZcofMUec+ZgHEjGDgqMcNh5m8cajkTEFylcT0yUuP3GTcS8+4BDOUoKYtJp4nBF4IyFMvC8+LLBp5keB7O1CkBTfoMDBzGDejMGit9FhhRxwBoU6ezK2z0RQrmYAF4quUBpvIYJZ9C3nGDIqYHShbk7QFs5VwmBulcneIk/wGnH6vP30sO+LUAmjfkhYLKBIo6x+xwgh/+/TNYYxFvWM4ZhBT0o8h39kOBp5NvDzE/mkCPlhQpkoNL8cGf/WYZN2C0K3T2Aqvxr1iPf8NG/xrm6AqC5SjlIQpxAMFy9HaJwV4FcIihFEdQvArAU4/enuNq/Ddc9P8VlTyFYDkm6lsAO/aX8xratRjtClv9K9bj37HVz8NGzRT1HvBKLKoxgE4XWOm/Yj3+FZ053ws+CPMFSFTqKZzXkLwEEwKSMXBcv0dHt0Wjn2M5/hmSV8j4BJKXAYw6Q28u6XxAfm6VPEEpT1BLOi7Fa4DlGN0GnTlDZy7Q2yv09iqAUhKlPIbYO2cf/B0dDFrzGhfDf8Gr9v8DU3VQfIKp+i6ATo8nFotr4riO/hSziUwITIsCp1OHs00DwRm6UaPXBsY63HfxRewmDiaR1FKAB+cMRa5Q5ArTKk/A02PWg9EZxkjjrZiCZBLGG2zNFj3r0dkONiCa97kgxlu0RmM19pjIDBOZ4Zt6TqCTzFDK9z+IFBeYqgLqd3qY0wMvUNVyAnwyRfpPFX6s8xgC8ITw+jcd8eeTElWhoKRAVWRYTMrw+wJlrpBJgUmZYTErUeQSB7MSs7qAFALGRtaURa5kAp5UMAt3jv5t1JauY/CfimCZdQ6zOkcZvv9rfXjFCOXRdRhdHzxNXKDf3032QeCVxuA69HabIrJpsUEynYyXu12/vbLeYnQdertBZ7cYHaXNiAAOlGKKiTwMEcYn5LfA5Y0sEp+kgy7d47v0NveF40+hnW2LzkQ5AMk5FMogBzjARB1iFiKfE+h3w7izM0Dea6+UAPdltxYDh2QkqSt4TcbVjO92/N0IDwcZzOoV2yWI/P4pPnvsvb1j2XfJeezrs78Tn4kyMcCovTSs1wBYAu3Skf7ubfX45aK3k3eQvIAIPnI+eDx5eDBvYBlJ5ka3DelX9J4IVrkw8bT7Ej7Qhk9iHN57RvLl1b7nUcartHiP8kXtBgBkjvw59a1rV4UBUYKHvYUNgUEVrNMQTNKzLzBbnLdozQraj+SdB4+5PcHoetw2IRdMJd+zlq8hmMDoPYwbiSFsN9BunthK9ynnDUbXobVrDK4N93W8/0sUYgrFywd7UH0uJZiizQWvsREXKYXOBvP3tT7HTB1De7oW2g1o7RobTYynCBJmvMJEHmKuTsJG1nU2xU0VNzhKOUGuq/S+OOfSIehIfmZ9/h+9GGNggoELDqmAvPz4KeSMMeRl9tG+K8q+qJ9v0ZiX2Iw/Y7BLeHjkfJZkZZxlYEwS68j3GByxeZXXML7HLh2YpOQRJOrtJSTPYX3/luExzb8NHIglPLoNBnsF7Ro46D3vVUocHtwKrXmJ1pzBuBacZcjFAjHkg+J1gvTYawxuia3+jTZ+xBGEjGmk8fxJVji6dWBTtRAsh/F9CCuaB1DLgIEjF/METgmm0nOaNhIzgDEY16IzZ/BwGN23NGdIGwEsSBmJFUWsqg7WD0GiF9dXjwQ4hU1k2sBjyRPpUwwljDMowUmBJGi+GtVK12yI7lU+WfAMo0HTjhiNgeAcRSYRw9cfe4XyQU+8jGeoJVH2nXdYjks4OGhHchQlCJTi7O4JOJErUMkMJ+UEP04OkAuJjJOG8n0lGEch5KMjdHctxgh0yjOJiS8wqwvM6xxFrpK5OEnsKCIRQOi419unzBXKXKEK1M8yVzha1GT4XWTIlATnDFWRQRuLqshQFvQdmRKY1QWsdZRMF+RzgnMIzuBARuPWkRdPNIylTkhsrarIUNzi6v+17lcOFtoPgGUYXZd2Uh186vPvK5K3DujtFp1ZU8oPaABXPAteGDWZu76x++ZDGlDv2vD9pLWOqUJTdYRKzklax1WIf77tHvLkgxR2oU0wCN7Fw3/ZYIr1BqPr0btmB/Ax2omvxRxTdRgSd8q0a33bFXRwsI6YaiQLGYN/yJcZp71fPJi4lmJGYEpItTJ+DAuvFXqzoVht7wD2mDaFH1YpMXE/tTFU9HrZNwB/jCIz5Rq1XwSgjsbZuNhtzBKDa2A8AXafOsnxY1dkx2W8wugaYiS5DoxJkh6wEtq3YUI5IHK1SHI3APDgkBAsg2IlBMvgfAfrCHQi6SdFnHtWAfAoxII8M4LP2h8VfopG3ZWboxST8CxgO18ds6JNCz98cX2LHKEEGAdKMcVB9gx5WLAMrsNSv6aACzfAe4/exnvopnuXJQCulgs05gqCkafK6Inx2pglJuoQds9T7K5lvEZvt2jMFfrA7AGCfDB4GdHz9ksHniQKUYExhlrPkQfA03mLwTWApiRX7QZ4eIxJaneB3m5hvAZjHDkvMZEHmKljlGJ6Z0k2ZxKZqFC5OYp39vklBvvHHU+/1udUu83XwS6xGX/B5fDfkYs5KnGKPPsXCJZDhDnS6NYY7RqjW4e54KdIN46Jshq9vcR6/Ds6c4ZMzDBTP4Zj2z1ztdsmiZxxHVbj32B8BwaBXCyAGzanjethQBL5XB5iIr9DzmeILswMHJKTZ5PiE+R8BsEyMCaCLxNgXY+GPYd2W3CrYAKAH72w6BgHDHaNwV7BuB6CZSjlCTIxgwzt/Dj3/F5cCGPExouMp0+BPPmwHfoukOkBX+89YJ2HDgqsph2x3HQYRvKLipY7xjg8dljUwxlPYMh4homcgIFhrddYmzUGO0BxhUxkZCrOb2YBvOsz4/9XMsNJUeOn6WGist3l2kYg5XEViXcvxoIrfi4hJcfJQY3TgynqUqUO6wPAEy/m9U5L/xZZUIIxlLmCcxVckOvx0NnrIsPhnCLM2Z50blrnQebnryXdYa8N3+q8b6wFI43waz1OOe+g3QjHLAbXQvshGY7GuO27FIFHFFEc46UZY5AsS/HyFFl//Z5zcGFh2+4xrnzwZ5jsgKe0S/5+9lXcQR9dD+3IC8PB3vq+L6VIItGHCWtklhHwVMk5JpKAp+jp9N72Cubu0RDXRMnlJ5lofNzi4MhEgQozlCbGX3M4ZzDaDgwcnd1Cuz5JTOMj/PMovpOn7gZIpEkkHpfBJwPLwksXdvZpc8H4Eb3dgjOJwbawTiOafP6RgBIGAcFzKF/BODIzHW1DRqkQkLxIv9euSxN5BwKiPHzwqyKzUw4FjS4xnRiQxkAWJJiFmEPxEoxJMJD87I9YnElkvEId+pZk2W4RblvAg8Y0N2LXt4Avoz2i7EOASwLYZuoYAMdyfA3Fcgy+hfY9NAYMroUJLKObSvIMJZ+gFgvkvIKApA0e16OzazR2icG2SSZ3n7Jeo7cNtvpyz8uI7v+C16jjRs8jeN79niWYRM5rqPBszDidE22SEVu4syto1weLjh6tXQV/rk3wTeTIeYWJIuAp59WdPfsowKiEl/PU5wFc6/O93X6hff5rfUm18xq0BDzpX3A5/DecFP8HFtn/gqPiPyaDbA+P1fgXrPyf0dmLxPD9JMcY2NW9ucB6/Bs6e4Fj8b9imv2Aifo2WRcY16EN3k8kfTtHa85g/YCcL+Dw/Y2i6ug15bxGKU8wVd9ikf1L2uTDHiAULQDo+cygxASSF9BuAwYO7bZgTMD4LjCebJiqkRR/tGu05jWM6wLwdIqczyFY8Z4N9HsUQ1pLcxZ93jh+HxuauBn68Jmhh4cLoWLDaLBtByzXBDxJwZFlElWRwVhLrCo83oj5QcCTZBI5z+GlTz5OiilIHmNRM8jQke6CCArGkAuJWmXIArtpdAaKi/TzuZfgHFWR4WBawXmHeV2gKhTyTL110XapATf/nkx0b/guAbw5ZXkz1S+58tzQ/vd9/WPX/vdHymAC2Pa8pXx47egstLUwzkEEw3kRADrBf69B4P1FDyQLC4/BttiaS1yOLzCVA3JREwV875kT29/7yCwyGFyD1q7QmCs0ZhmAJwfJs7DYoCS6nFfv9NggXTJPBuHxyFyQzPk989N3nsN+eoTXaAwdy+X4HI25ShPrP0Ilz5mUOsaS/ColEyICxze3V2R/Da5DYy6xNVdY6dfo7fYPAToBCGa5WfAnmqIUM1RiFhZrLLGe1uYcV+Nz1HKBjFfIRQX43U7Uu8ac/Z2WnRSNKNR8z0w/ORjd8/4n9o2E4sEfBJySRf2IwTXo7AaFmF5LUfvQ4kFqBwCFmKAKbcbB4WAx2C225gpL/QrVOKO24hUUz/E+We5+ezkYGEesRM54aq+d4OwT7dS9UZxJSFYA3MELWtCTb9oBMjGFYhWcsPAAOFNpouy9heXEaqLJ5REyPgGDgA+AtwPJFKkvhJQrJpDzKSQr6V7+PB8Rj1I8sF89yPC4lDOUcpbkroNr0Zgl1voMF8NvyEXsW7uwg7v1LZvuRYDAB4HI/Ly9bxmnE0M2SpRFTEAK4+67avd5DMzHaTAxtXdJSR4xael9skqGvUQ2dYRynBEQZBSsN2jtGpm+wFbRuJ3xMgQoZDd6pDlPSXjOG7RmjY2hRNTGLKFdHzYvStTqAIvsCSoxfxzPu9+xyCgZ6dxKOUUtD9DZNYwbMbqBZOt2g9YuKZnQLNHaFYzXYTxUJNUWE+Rh8+yuPnQcJLXz8Hsps3MYp6/1+ZV+fa3PZ8FLB/j4ff5r/WMUpcSNQfI9pCQ3xiQyPkEhjii9jefw3iHjU2R8hoyv4PwI7dqPf4zewmKE8S1J8dwSvb1Aa16j0M8BuLRhY9yAIXgs9fYKg1vDuIbODaSauKmIlZzvmahPkYkZovQ9jt1pHr3HSuIQ8IxD8DIk8k0Ds1ljsMswh6iguAgm7iu05lV4phSo5VPkYkGMp0e6Jyd5hh+OFvh//fANvlnMcDqtIcSnMRYHaH1srMNgbPBp5qgy8m6WdzT/vkZcIs7KXvvvgLX4XcbSdz12fRDHN4JLnHEICJSixBgkJBYWMk0o7nZhBOcohcRU5ZCcY3AGl32LicpRyezLAJ4ER11m4JzBe48yV5BSvLMFbmqVx+jG9/2M3/NxGdFU4xyMI1BJBWklZyyBTtZ7tKPGehzQG4NCSvoRlNaXf9Ym6HHx5DG4BqvxDK/FX6GzAYvsCXJehlSUt4+fFsE0edqaS2w0TYS1G+DggsdC8B2SB8ljYb+iAaeKBpzBANr5wIRyLTGy3rPATul8bsDWXOJ8+AXnwy/YmIsgg/ljFAESewbQYTFkvYH2xPKiZMHbwKO4++Uw2C2W4yucD7/gYvgNrV3t6dS/7KK+pZBzRkBKYIRF1tjoejRmhavxBQpeY5E9xUydBmZUHBvvwrCzGFxHSYzekqeZqCCRBTn33ZmDsTh4AG5LSKbCPeihHXnFbM0SlVg8SGpz43cyAclzMCZQilkw1N1FkQ+uxcZc4GL4FYIpzNUJZuokmR+//3kao4U1etdgsE24PiWyIDe7j/z9sSsaXdNxKGSihnEDVIx8ZjmBmbyA9fM0W4peFx4WDBIZr5EJikomQ+0KuyQeAAnIYCFhp7g2uf0jFmcCEjkY5yjFFLVYYCqP0Nk1RtdjdB225hIX42/IeIGZOsVMnUCyHGB3Sf6hvmW9wWBb9K5BNIaOjCEC/G5uY+MHdHaLwTZQvEAWfnbA6PuLnls0DkcGsY3m3SFxbAdK31QssHRmADxquSCpFstgvUVnN+AQKWAiC+bsTIhbgafIam3CJgNtzKygfQ/OOHJRYyoPcZA9CyB88c7P+pIq3leKZcFonIzEW6wwmDbJPNf6HFtzicYs0ZkNyWrCewoxJRCUxefC3ZgK1Oez1Ocr+a4+TxtkGS8xUyeYhz7PPqjPVyT1vEOf/1r/GEWp0wO071ICsmBFYjkRQzeybj0kL5GLBbRrYf2Iga0/9hHCQcO6LknotGsx2BU2+mc4b7DRv6Z5hvMmhHR0sG4gVvEdVQ2C55AowzN+DskKMIg3nsH7s5D9+4eFtsuQ8SlKeRyOx6KzF2CMoxCARAHrRgx2hUa/guIlMjFHxuckr2ePN7YuqgL/4ekJqkxhXuT4/nAO+QktfZz30Nai1xrGeSghMClylJkKNkQPGH8YvYszBikF8lwmpZSzDta6BDw95uj2wcCTYAIKCoUo4L2H8Qad7dDaNlDixZ0RQck4CqkwzQLwZC2uBtKIfgmgEwAIzjAps+TNxNlXE8PbKhIGnfcwzmG0FoMx8JJuBsV5kgVa59DoEZddh804YJplmGY5fObBGKD45x2RndgvtsVavw7eLixJBmhQfvtdUYJDwNMVNuYCW3OF3eAcPGPUAWp5EBJ6rt8vxB6T4d92u4lk2EoSPON2k/cbzyH43mg3YKMvcT78jNf937E1F+Rh9QcpjhiznSXTwzj51GEya52+FTyKTA3nDXq7xVK/wqv+L1jqV2jN+pPQqj9FEfs1A5hCwSeoxRwTdZgM2Y0f0dolrsaX4EzAwUOxHFN5GBgot0MgPk38bWJPGadRSUfgBaf7xr/HZ+tdtfMbohQtHq6zDovjxlxhUCePCzyBgB8ZFly1XGCqjrA1lxh1R8CTvqAFaTihQkxQiingI8Pu5jON7UX3NbGnFC8AeJL1MID5T2OI+a6KNH7BcmS8RpTS7Xy2OCSKdP9c6x3XWKF77ZBAJ+DttvF7oOQf+1lMRv9ZMnyu5Tylwmk3YnR9WoQzMDh4irGXB4DnALs9fThyi8g/p0FjrmhsFD6ARuQOiFvsFRKoqy9Ryik8HN0PQAD43z/X83DQfiRgNfnwkVSFM75LqXvPfEDxPGyQSgKe+ASS59BuwGAbWG9SAmzB68TqAd7NUrIBeOod3Xer8TUux9+CwTXJtXNeJeAp4xUkz9/5WV9WUa+RfMcgM34IpuomyO3W2OiLBDy1do1STJEHllIhamRvMDvv9s08JMrG8ZQ2PqjPD3t9/jcADA4OOa9QP6DP9w/s81/rH6OIFTfCuAbOayBsoKQftmPZgXFIViDnCxjRY7Rr8E8gu3XBvHwHPDUY7AoeFr29gmBvjkfxOUwbRRzqTnNX2uypoFiNnO/8lt6um2kZBFoR8GTDGNqbC5LksxJe+ODxRIynWj5FJZ9gop4iFwcQjwk8lSWqpwr/dHIAwTgyKSDFpwaeHHptYJ2DFByTPEOl1AceBwPjDFKSobhzDpwzChqz/tH9nYB7Ak/EOiEqsfEm/X1/sWq8QWMatLalZXHGUIi7XXznPbSzGKzBWddAW4fzfot5VmKeFZipIuxQ3Azm5FzgsKhxlFeo1aenMEej7t/rEXRfkOuxQTHrHHpjMFgDDyAXxEoSe99zLT0qSOusJ7bTaC0Ga8kk3Yv0eu99el8EqRqtYZzDYA2cL6GEQPaZ4pORFRJ3YUfXYaVfg0MEeU2bJsvkbRCN5By2ZonGLrHR57gcX6CzW5Bh7gSFmOBAPcVUHqHgEyiegabw168rZ5ImW2KBSsyCl1MGSoro0BgCBgpRUzRwOE5KmHKJcUK7uQN6u8HF+Bsas6Q4ZEYTcvITMSnB58ssFibQE0zkQTDpLcAhgm/HFht9jovxNyheBF8eEXZpWVowG6dTe631GZbjK/SugfM7lpoJ1P3HlHJ96tqXwGS8wFQd4yT/MQAsIpjqMvR2i6vxBW1QuAGd3UDyHJIpiADCxv/FJJWYjBdjyTu7RmfXYOA4zL6ByGWQZUTJzf0qLpRm6gQbc4lMlOCMosAbswwyDpowdXZNblBMACGedz/5znufIusrMQ3ndFN70XOsFFMssqfQbsDlSOCQ1XT/ELhM7I7RdVjKV6mtYl+L93kEb6LMx8JgsA1au0Fn15jIAxxm3yLjFZjnd17gf4zaP3/y+xJ403CeQHi/d4xhach2r4i1o4rzt/4tvmL/938kv6w3K96LDAy5qDFXp3hStCFpkiWftdasAITAisDOEaFvRTnmm33L7d2Lo+vQGboXc1HhMPsWiucQQqYrexN4MLp2N37qHIpnkCyH4gUUp/+mxbzY6yuB+RzSDEfXowt9+3J8jo0+p9RRlqOWtAEzU8coRH3r9WZgQACfa3mAo/w7aD9io8+xNuS70pgrnA0/w7gBU3OBtTknOTvjSdIex6vBtWGM2iQmsHYDJM9RBA/Gw+wZJvIQOa/pfr6FlRU3hlIYRZAT7su4e9ugsSsCc/ZMvHdx6eRXtTYXuByeJ5YPnftuzN2XPdL4Iu7kz7o/n5MsQyVmmKtTjK5FE/oZbbadI+c/Y63P0bsGHh6K56jEHDN1glLM6NrfE8C53uer0Oc7MhlPfd6mY/Fw0K7H1lx+QJ+vcZh9E/q8eG+f/0cpYyyM2Ul0vKP5/a6CR20wZhZCQEoKP/pDVEx2xn68PU8/+32bmoXsHHgIqLmp7t6rdrJ0jxiM8ua/+7SBHL2VJK9QihPU8ikyMb3hGALwxBRq+Q1ycYCbjWCCBBcyzFcIoL2/FUKGjM9Ry6cY7RoWGp09p/WGmKLwRyEVsCMDdDgIXqAQh1C8huCPhwEIzpAriUzKcGyfdiahhECdZziakN9zLgUOqhI/Hi1wVFd33Ejckw47j3G0aLoBTTtAG/LNEgF0GrTBoA2M/QzMxY036F2PwQ4Y3IDBDtBepwfhPvCkmILiCjM5u9Mc13qPwVo0RuNy6PC8XQMeqFWGicpQyxziDe+fN2uWFfiPiyfIF+J3AZ7+0cs4h60ecdVT1Oe8KMj5X7ybQh/ZTtZdZzwpIa49sOKUgIVr7+HRGY1Gj2i0huIC0yx/2/TqMykRkr+iDE77EUZfwLgR/3/2/qtJjqTbFsSWy5CZWRJotPzOMfLODPnAsfn/v4G8NkNeM97LOecTLQCUTBHKJR+2e2QWZAEoqG7stuwqVGVFhg73tZfoPcmQNK+geQnFy4OBj09Mp9vZ22n0OzAI1GKJY/0EZ8WPKYK4TuarL8toMtAREdG4KzIh5/qA7WRwbX5DRMDouzQBKKBYkQZefgZd6NXBBKLQ0/I1SkGDVxMGBP91y8jI+4N8iiqxTOlJOSJ6N4NHLhis5bN50sQZT/uKmFF5f02hn/czT+l4nPEkBehhvmLg6bAULxJ7L8Wcw88Gs1PoYcyAyZP0geQ++3OeI3tqEcXbR3eQAjjBhAkmDDBhSNJUjloeoRILhCgg3mMUQBPVFQDg1j4j8DSBZb1bU/okPCbf4cb8Dsl1ArrkDIxlUDYioBZHOCt+ItP5e9yMKtHSBIbRuWOjweh7BAR0bp0i3XfY2IuUoljO7CzyVtkz8UJ0dF8J09zpz/vrrPgJipUkMYFE/OIi3N9FjP4uy3if5fw5quA1VvpxaiJI+Ggx+C1ijBj8FpPvYDyBQBfiaD63cirqobx4vhbDBBunmfVp/IClOoNgCq08mSVzb6opEAhxMf5jfs4BSNLZCoqXCZAhgJWnCRs1Pu0MAvR+g8FtZgm6iw61WKCVJzgrfsSRfoxStG8BMuhJyZlEK49xXv4CwSSeM3o27twNOn8LPzrs7BUaeTSn0ckUiw5gvl9R8Mfhet3AR4+GNzjW3+FYP8Fp8SNaeUzPC7xZUhZiwOSHZE4+JD9GP48NMtjV+y0Gt8HO3WAKw75RdCDTX5tnUIntzFgG9vgMph/eiyXTkJzhXRnkkmtUcolVeITeraH5s/mYr+1zxBiwcZeYfJeOeZmS7M7fKcnudVXwGkf6u9TAo0ZR77fAwTk/+QFbe4UL8c8PPucX8vRe5/xfpZwPGEeLYTQEQCUQKhcDMSuUFFBKoCwVGFN/HuAp1d2Zy+sre9HlGc6HQhl7lr2fG8Zv+HQwRj5MBV9iqX/BSfE/o5aPXvP+xEhmIsnfTt943mcSBsPeJ/VdSzCFQqwQ4hMwCHTuKQZ3AQaGUpzChxE+TvCBwKeISCwycUT+Ug88Iczp7/cNO3vI0lJgVZfQUmBRFni8bLGbDI7qCmeL5p1AvZxeP04W292IzW6EMTQHYYzBh4BgIibjKNXugX2e3vluaaPF6Ed0rkPnO3Suw+jH1PG5CzyVosRCLeDuOanyMWAKDp01uBh3uJkG3E4DSiFRCoVSkIkWmUm/+kb1qGqhucSPzQqP8Wrk9lt9vHIxYGsMLvqOtKKco9F6ZiK9SkqWGU82AU+j9yh8gM+pfwB15g7SDWMEBuvQOwPJOBZa4yw0n25D37Eo8rdCJRbJK4AmlDt3jRvzB6XSiWY22MwDTOq43s7U9Nyt0LxCI1c41T/gvPhlnwTzmks6J89IprERRyhEA8U1rJtgkh7dJ0nYxlwcGH1WcNHCBZtikG9T3HufwBaaJEimoZLEI8YAy75u2V2OZOaMo5bLxIShyZsJfZJhWHTuFrVcJvZZAw5B+ysa6kQnsJDYQMXMnlG8hAZ9H6KFSbGzX3tJXmKpzlCLFQSTGEOHjb2Es2YG4TbsEpJrKFbsz3ne7Fl2EHBxgg0GNpIx7RT6ZKZPE4JWHqORK5wVP5LEhsl70b9fLOqK06T70vxrNua3wWDCgM6v522oRJsmZ+QHlU35A+g6DdHjSD2B5iWO9He4j4CmFCTtWagTuDihc2tsxSVGv8Pgib2wthd0ffFyvi51YuBxJhO7zsAl77Exg5wp5c0HAqWW6gwuGqhYIrKvGxj+Vm+vQlQQ7DFaeYKIgMFvsLbPCRjxO0x+h427SudWZuTQOZ6ZLwAlqdpIzJkp9LO0LYOdZ8XPWKgTPCr+NoMhkb1+mkHslwtcTv/A6PfLI9PnBoUgn5/8bCGgRKRkUAJVp9BjcBv0ycA6y0sVL7GQpzgrfsaRSsDTWyc8LAFPJ5BMo+QtXDSzpL1zt9jES3AmZjZjwRtoXkHxClkO76LB4Hfo3Rq9X9+R55aixrF+gu+r/4KVeoRWnkDdQwYS4BNz6AaD3873v7zvQ5IfD77DGHZz6EgGplwwmEB/r5KEhmSucr7fCggIrlMwBI2ZGWcQUb7zXDEznqCBjb2cTesJeLpITRhqQjAAilVo5BFW6hy1WHyw0XpOCcznfO+3uLXPEwuNfMXe/Zzvkgfmy+e8KX9BhcVbz/m/SnkXMIwG2+2IyThY42Hs/jpgYNCFRKElypJk30p9oTKF96zsSPj20UiW3GVT+oc4e7KvqAMFbrx6LWL6+FnyLpZYql9wXv4/sNR/u8fnHAJmb3pPYnm9Q3L3YfEEPHEmEaJB535H7y4BcDRqQ6BTnODiCBdGADExno7xMaT1b1JbfezSQkBVAqsy2xAASEog9h7sqxAIWNp2E7Y7ul4Buvd7F+Ccp2v4S0i1O0yyY4lMp7lGNvEMMaCRDXrXQ3ONVraQ9+wGtKrAj/UK/7fjx1ibJXbWYGcnKC6gU6odZ+yNEYZHRYUn9QKV/EKpL19Jjc5icA6jc7TvBYfiYk6QA4CdNeiMgfEeWkoUQmBwDk93W/xjfQsXAnpnMTiLpS5QCAEt5bw8zQV6a7GeRqzHCSYZi7sQUEoJH/aTI7rgAckZtBAopIRJnZR9LkJKxUNEjMDkHLZmws4Y2OCRLxstBCqlUElJFzMXUPzjphPM5t68RMUUFvIEAIOLhjpqYQIQZ1+cEP0MPtkwgTGGMg12tajQiBXOy19wWvyIlXqESiyT+fCrtyEzUACgkUc40z/BVAO27gp9oo+LxOIYwm42NJdep0FsTPTdiELUKEWDOnV/JS9g/UDAlN/AhQks7D7avvwUxRiH4BIKJZbqHI/LfwcDR+/Ws2kpASRmljeMfjd35rNEjDOJWlBsdk4dpMnCCONHxHTM/yxFzwQJyRlqucKZ/hExemzseZrE3cDl8ztNnCY/wAU7G4SzlO42d/URyIdFtOCgSdNCnWIhz1DwZmZGvE+3kCZeEuAFlvIMj8p/g48eo99i8FuY0EMwlXy6KIZ+Yv3L5v3JjDMzoN7t82m/LdU5Hlf/DskVdpb2Ve836V7ggZgj2ncwfpjZClmClNMWWQI5C+wNm8nI+Hhvlv+FeOE9BFn9zyyd+5DKzxzGGFp5gvPyFwCYr8PO3c7nVoghNR669LzJ1yL2TZA0kZFMQwqdziOJE/19YjtV6Vp8s9daZrkc6yfo3Bq9UxixA4dEjB7GD3DMwIRhNpkm1lJMqXEuJUVxAqzFcgaEj/UTPCp/wbH+Do08vpNc9tL+OXxWxgjJVGroHOFE/wgXLSq5TPKqLVw04OCJ2dTBxgk8dGm9SN7iUlIfsROLOZHyrPgRZ8XPWKnHqOVyloG9rXy02LprPJ/+jq29vHO8iNXgYaOdQxzonjVk3gPJnAPQudv5WcNZlvfwmXElucZSnWKhzuDjCWp5BMEU5Gu8rF5XNMapUCGiEi2NWUQFxIgQHabQU9pcDOAQKEQ1e9yVb5An37dePOcflb+A4eVz3qfny+vPeT83FQCkc74gGSIkTvUP73TO/1Vqtxvx+++3+PW3awyjhTEOxhwwnhjQNiWapsByWeHxoyWUkqiqP4c6hTEBwTQUayiRNYYEjozwgcARllicJIWdYPwGk7+Fiz0C3B2WThLBJokbGZKHaFNqnkVAuhcmRpEPBiZsMbhLmLCFf8l3NY/PSqhQJ08pujYJ1O9hQ598YNUdqW08kBHSWOe+ASVJCvseFwixEBUkryF5BZ6Y3iFS2t7O/obJrymoRZ5Rkh0rac898Hzuc3s1z+DSXc+B9y7OGcpCYtkSkLXrJoQYEUIEkySH1Yp8rB56298LeCpFCckkJJPQXMMGC8EpljoiYvADBj+Ag2MhF5D8fh+zUAV+ao8gGMPgHYz3MMFBMJ4kdjm29fUnVS0VfmqOUMs/x43sc9XgHG6GATfjiEYpNJpMzAohoAUdz/U04elui50xWBYFFkWByTk87Xb4x/oWoyP2WmcMTqoKC12g1Uk2qTSEYuitxUXX4/fdBhGA5ByScbRKw71g3MzAyPtJCJRSYnT2JQDyULq3swZ/dFv8vt2it+Q5xBiw0AVOqxonVYVWadRK3zuO8n2LMQYBlaQ9R6jlCrVYYfBb8pOwF0lSZDDG3ewZERBmo+tC1ljIMyzUKVbqHMf6CY7191ioU2hWvpGmTuwdmuLWcoWz4idIrnBrnuHWPMWtfZZ8JBxM6GExgPkcS50GqSkGvuYrlKLFkX6MI/0dFCuwddfY2WsAIM+jz+Qf81BFDzxKAVypc4QYUPIWt/Ypbs0z7Nz1Xl6RQLocBZ7lIcTqKdGoFRbqBEfqO6z0Y5hAVP+tvYaLBNb9WSqzxBgYarHEWfETKrHAxtE5vjEXM+Ni9LskZ5hgQo/Dh2mW12TAVPKK2AjJ12ypTmcpjeQ6nW/vfgXPExVwLJOJeMEr3NrnWJtn2LqrvYwtjLAY93/JaB1FSj/Mco13AULydcnAsFCn4ExgIU+wthfYmOfYuqt5X02hT4mSPXJ6W15G3leU8CTBeQnNq5khdVb8hIU8geJlmph93dfnt3p7HZ5brTwGA0Mjj+brcGMv07m1Td5z5OE3Yd+koZ4xP5BkySTD3rPvjvUTLNQZtKhmEPhN16LmNRbqDKfhJzLXZgRi+egQ4AgsidnBaC9COfw/S75MpaxRJnndQp5iqc9xpL7DkXqcWL3FvSdHIrGSGWM4LX6EFtR0WNvn2JgLdP52BngI3MHeQyVNCkTaPyUjf8CFOsVSnVGSmkxpary4t6G4DxZbe4Vn43+SFD6GgwlgbrT5g3uUgY3jLLVzMARQOQKdOn57MH5OqY9gkFxj9N/DJW9GwRRK/u4Mcp4sBQQTlFKXDMNdmGa/KvILiWk8USfg6Sz5Tn4o8PSac95c0HlvLzH4LbFvX3vOZ2Y9T+Dcq8/5pTqD5vW9zvm/Sm13E3797Qb/n//2O7p+gpnczKQAaBx8fNzg5KjG2dkCSnKsltVnXOOHLQ5J6W2cpfF4oFS4MMIl8IkzBcZ1UgiNMGGD0d/Ahg4huhcMxul8jtBgkMkT18IHYjOHaBOziTyYfDQwfoPeXWDy61cDT0xBooLkzQxyhWSIbsIaxm+geAMl7oY1Ze+oADcv52O7GdM4XKdxWjkHI1ED7gZb+ytc6MEhUMvHBDy9odnwraiyl1MOQROCAxEwSVonBBAjh1YSUvAH97N6J+CJMUa+TVCIPEIHDcPJ9FBzTcwnxjD4YZbfVby6N+NpoQr83B7htKjfQzRBJRgnoOQb4+mDarQON+OAP3Y7HJUlXAzIxMUcIbmeRvy23eB6GHDW1DgPDawPeLrb4p+bW+yMRe8semuxNVMCe8gYjTOGUkr01uJy6PCP9S0UF2i0QqM0Rk/O/YcAI0eE5ByFECgFsZR4Mh7fV5LupQS8p7sd/vv1FdbTiEyTPKtqTM6RVxgYJSaqj3u+7BlPRfKg+AmnxY/Y2Es8Zwo2TgjuBlPsMPgNdVAREAGig/MStVglT6efcFJ8j4U8xUKdzvT4N35+6shxJtDIFSRTWCRJlGSazDd9YvP4cQZVQgwJQNHQokbJG9RyhSP9GOfFzzgvfoHiJa6mX8EhYMIIzW9eMut8172VOxb0H3VzPlwBf89Pn3X3HJwTIFHwBkt1inJsEsgRSQrlySMrJB8sxlgyytWo2QqNIOnZSUGSyPPiZ3RuDc0qRACj30IxAizA7rGFB2aw7M4+esufpf+/+N+b3n8wzUM2hnz5b+7+OwOVAFJEdouT4nts7RVuzFPUYoW1eY61vUCMAWPYwXqbQJXMFkqsiiTHU7xAwes5LWmeyKlHKEU7p1e9H+OJBlcckSbPvMJCnaEc/w7BRJIo0eTcxgk+0HUREeYgAMVLcMGhUMyg233XhLF8NnEs5BlaeQIfLW7MU9yII9yap1jbC6xxQeyw2BMAFqfZV5ExDsX0zNiQQs+pTZnFQPKeU1rX+dp845rN72B3Xum7eSDyMFfku5pXvshWec2bPmCN3q9Y6kbe/e/zsCHYzMIQszQ14mc6t+QfqKYlNvYCayvhbTq3klwz+4MQKKFmqadiEqWoUYsVFio3QR5hKZPUO4G4bypKcT1FjGH2KgOQwNUuMQRsCl7Yy0VyA0YmwEKlYICVeoST4gec6h+wUKfU1JGrO82Pw/PrVU1LxmiiKLDf1pU6R683uJj+ScwWo7Cz1zBhhA1mNv0GCHASTKESDbQoUYsjnBTf46z4aQbfS9Gi5O07HUMXLXbuGhfTP/Bs/M90rt+PU5m93zwcrJ/QvyGwVqUxQAaOSt6ila+3yHjd9ZoDJRQrZvl5KWoMCPDewoRpZlqRf0sGnk7mv33Xzzw8nq8959VT3JjDc/7iLec83U/JA4pSg2uxxEKdYalOsVSPsJDn9z7n5/VDvmNmdtX+OZ5/c5974edmXxzW4frudiN+++0G/+2//Y5dN2KcLKZpfx5xzvDofIlHj5YYJ4fVqsKTJ0efYa0/TjEmIFAkGatK12CWgg1wcYBABIsiSeQHTH5NjKfQI0Z/55G6ZzxhbhaFFN7jE/OJwCqaY/g4wYQNen8BF7r5/nRYnCkaM8Rm9qjz0cKGAZPfYBJrGpfEAnyGCDKHkj539m36yIArjY84wBQkL8ETEytEi8nfzvcsziQa9QilOE6MJ3zU9fpa6/C+IQRHVSpoLaGkgDEOuy6bjNM9qdASUoj53w9V7+2Il+OtbbRwwYHicNN/WY6HCMnlvZIxAEAwBs0lorzvo/VVy+DQXL5Wivet7lc+kt/S4CwqJ2F9gIuBtJ7p0FjvMTiH3lkwMNRSARJYFiWWuoDmAk+aFr+sjnBeN1hojVYXaLRGpRQEY6ikxFFZ4Um7hAseEcS2Mt7PHk/vUjECPlA6ovX0csFDMo5lUWBVljitapzXNY7KEo3WUOJTdP+zCwWBaYIrilVWp4gIKER9x7D7MLWGBvxFmhQT2NTKk5RA9+6AGYOA5BoRmD9fiwqT72cz4kMTU0p+kXP8e44szhN1wRUaeYSAAMWJ0XVa/IBKLGaj5fvorUXqYkMAp8WPcNEkuQQZgJZpeaV4t8H7hxVLXf4SJQKO9HfgjAa1eV/ZaBJoQl3TPAkpeIVKLlCJ5TwIzoPtpTqjGzuvsVTnOC9/xvfVf8FSneFl8RBLgG+BE/0D/q39X3Gsn6AQzXwOHenvUgz1vjgT0KJExBIn+gf46FN8dY2lPE8AzhkK8WJnm6EULVbqERg4KpmS1+KE8+IXHOsns9H1myVbGZogT6tGHgEACt5goU7R++9T6h/5E+UOPhAPEpbkbHKfzwHap7RfaeL6MIDkLIVFxHE6zo08hg0kI3XBzDINgopE8khQsynvUp5hoc7f87rMe0ug5M1sYFvJFVb60SwJsWlinqXFxLqS4Om6Vgn4LESTJrwUV16I+s5k501rIpiA5AVq0eK8OEcIP+NMFdDiGFoco1Xf4Vh/n67tB6o4ABiAOAHQANMABBD79LsIsBbgLXDHQcsDsEA0QBqkUtz9pxkDMMaJqSEqLNU5fqj/Z0hOE/lsXnxa/IiFPP1E0Pkr1xL5PlLwGgt5Cg6OSi6xVOdkXp38kyiFEuncoi5+vqcprmcJGV2DLarkcTcnF71lTXJwQ1SA9RxjVBh8g1p4yMJD8JTOCGp8zFvA2HzNxSBgnYC1Ai4sYLDCiBIaEppxQDC4NIaxzkMKQbL6e5gYp5YD3Q9YiQJHKKPBghVo9GOcFQN8nNK9wNGYKDDEyFCIEpVsUcsGC3kyN4ZY1BhtxBjGtB4CWr593JHPnX9v/jec6h/xPsmd9ynBZALzz7FU52jk8RtZWTGSn6cPJLsRnEFyDuM9emMxWIfRKyz4j/j3JsLGMfnQGWQ2kWQaT6r/C1p5Mhudv+n6cCFgsLRsBoZKS1RKQb52rP/iOX+SzvnF/c95rvb3U07suv053+yloG/ZvzyNbQpR47T4CS5aLNXpfH+oxBKnxY8o07M4m/8CBGa/j4fLp6oQIpwP8C6gHwyG0WCcLIz18P7jnK9fajEwgBF7pOArLNRPmIpbSFaid8/wbPh/QrACMo2JR38N47dAzCl4L+8vxjh4BBSvUckzLNTP4Exi9Fd4PvxXKE6SOcEURn8L4zeQrESABWcTXvSFzk1VwTRqeY4j/X+F5gtIXmFwl/BxguQVFNtL8Wg9yIhcsAKKN9BikVhPn6Y4K1CIIzTqCSZ/m2SKv6MQK1TyDJU4J+CJ/3kYdB+7GGPgHNBKYrkoEWPEaCpkkkZdaTR1AfE+yT1vqA+KYggxwAYLGywkl3PkvWQSTDAg0mTyvrdMwTgKAQhOev73KZJm8HuDXd/q1eVjJODJOkzKwwYPHyJ83EOCNgT0ljycAKBWCooLrIoCi6JEpTyetAv829ExzqoaRfJUIo8n8osqpcJxWSHEiM00YmMM+mki4Cm8uwEuSe3IqNz6/VfJGU6qCj8uVjitKgLHCvKdklx8opsneUEwMGInCEqRKXiFpTqDD3ZOUtlbFCLFG9NAKHtZ5GQrcU824WERSKzBhQAD0cWX6hwuWHgQowOp+0cdwEQ5T4MnObNQyG+KQ6CRZNDcymOcFN/D+AGS6zn15T73AM4EJf1EibPiR1SixaPybxBpECi5Ri1Wnxh4okE540nqC45KLHGivz8wefUH+2ovTckTNcl0As+SlIDXYIqjEA2W6jyZlQ9o1QkW8uQ1+4pBMY3T4gdoXmGqujn5SfMKlVxCvQAC5PNFQIIXYgYCBZPJyLeez6e7n5Si2BlHJVochcezsXclV6jFcgY939ShzssCaALFkufKQp7M6Wt+9iyhrmg+6/M5R1/F7MWUU+UU15Bzutv7MuvuVj7OIkklK7GECd/v2X/wdwDhDOJkGWre39lv7d0rDQmZSJMaiVIssEo+cD4xQEJiXO33FZvPOT7vL0mm/4f7i+0ZWW8rAlsZGFo80udo2M+Y/BJCPILgj6DlKWqxeumce/+KCWC6BsI2AUwLABII1/SCA/h3BCyxF4CnOAChSx3YBmAS75rI9b7FEhOHMY6VegTJNI7U48SKIwC1EgvUcvUZgSckVkZEcXj/CdN8Le79g/zB04cl2St13kW+Fpm8w0qUvDhgub65JC9QYwXFSoyTxi6U0H6FI61xVGq0pZx9BV8cB+ZrbrAeV7sJV26EcwoWC4woUTIJLwQiKGGrNxbdZFApBRT6XsBTlreAMahQQbMjlGBgbIWSFgPB48zQdCHAOg/jA5RQqGWJWpWzH2PBK4w2YjIBgx2J1V1o6HvI0RUvcVb8hILXc4Lsx8CeGOMoeI1CVPNzQb3B6DvECOs9jPPgjEFLGs9NzmM9jrjuBgipsSh+xFn1CDGBiCH6mRWYGziNPD6Qqr0BePIBm9Hguu8hOMdJrFAIAfA3xdC/6pw/n8Gmt53zGejMDQY659U7n/PzGCIKYsDJBR77f787tpGrmREXYoRPycCc0+QQXyj45EOANQ7T5DAMBuNoMU4W1jqEB07D+vIrMfQZQyGOsFA/IkQLFwd07hm29l9JLqYPJHVp9BhfCTvNy5O8QiVOsdA/wfgtRneN0V0lQEgn5rdIoG4Jzya4V95jWHpmaVTyEY4Lg0IsMfkNBn+JnfsdhwnD+bpQvEUlTlHKM1TiDJwpaN7iXpH1D1CUnL1CK79HjAE7/xt29ncADI18kqR2xxD3CG34VlQUIgFoLbBqKxRazfcdxgApBcpCJkzm4eqDgCcPDxsspjBBBw3PicsrUlLGu94lOcseFZhNosMLrJfs9fTiovOFC3zZ3QEgmbRFUFuD7elvXxJ91scIEwJG72CChw0BPjOeQHdI6z1G5zCk1IpSKjRKYaELLLRGiBGPmgY/LlY4q+tZJ3q4nYWUWBXlbFjeW4vJOwK63ofxNEvt4ry+AKAFfc6TtsVxWaGSCqWkC+pT7fUMThCjQM0AUouTT7QGVHkgBVCEdYvjD16m5Bo1Vg+yXhIkxzjWTz54vT60yJsrMW9QPAjoJUCsp3ctyXTy9brffuFMQDMB8BIVFjjW393r7xhjSSLR4EPSaPfXOYNixAj60HPkY9XHOM7v+vnpO+rQi+YVTLSPWPO9NvmvpImh5AVKfYRT8R0QjwDxPb3Yan5vjOT5sF/7/ZLudnHZC+84ZDZ7IHYJZLoC2CmIvVQA4QbwfwCwACuBeHJHXhdjAp7iBogS4BJg9SxLermTfHdfv35dXxAcvjG4QUCAQ8kVWrkC8MtL79pLaQ6724eCxruS8RfX9+379sX3xDvvzu9TXENBA+LwM+MLy4gv/OWrPid91j3GLTE3rCLAoaC5gmQ1NJOQoYB0Kyz5At8VC5zVzfyk3H9iZhPQ97f9ANPf4srewPoAgwKGFbBSwgeOmMYnvbFYj2SaqqRAA5V8Ul7cvhc/hyfWE4OKS6ioIFjEsapwXFUoElspgkJMekOWAopz1Fqh1npm3TMAYxwx2BG3A3nEaSlniVL2inr5SAACGiv5HVbyu5cmpfP6Hox3XzeGJKb6gY4gH4yDddx/ZfP+dyG8fLUw+nnebsE5wMiCYXQOt8OIp9sdTuoKR8UxnlSLeXx3IIrD4Rka4v4nbF6//TsigMk7bMYRF7sOigsUUuCoev0k8/CeqkUFjc/HhNiPbYj1dILv7/z+UK4WQoRzHtaRn5eUHEJQmjdjeMle4nPPG4KndKyunxLjieR1zn2a5NT7SDA/VWXJJAOgxRKt+gGcKdya/xN9Ap44FPkssRJaLKH5ktii7PD6eHl5klUo5RmW4Wds8St29jfs3G9AjOBMEzAjT1CLM1TyPBmQj/DR7NmoB9cEh0IlzyCYhuYL3Ez/HZ37A719lkJd3MxAByIKcQKnfgJAwFYRlwdX8LzGYPQkTHJDYmJnu4wPKZozrVCrx5jCGsFYDO55Sr1TqOUjaLFMbLJv9bbam5UzKMagpEDb3M978EPrg6V2JhiMfoTiCiqoA8+R3Anmb5Fj7MvHCBcp2WxtRtxMA26mfv49YwznZYPzssVxUcFH6jq5GDA4i9ET7blRGo3UKMQH4WofrZz1mEaLabQQkqMoFYpSfw5LitcWO3jlQUp2F8gDmPnf6Wev9dr4hJU9myoJrIoS37cLMvEL9BD/dbvBeprIDF0XMwBVSvlFg5Xf6lt9q2/1ccuQzC2a9L0F4khAULgF4BIbaQOwACC/N4KkcQqAJKkBOBAdgDFJ5zjA8nsO4J5o6QWTPucGCD0gjoi9xIrEcOIvtIMjSGJ3wHYKG/qMWAPI69enV/YKCgBUYkTldUmg0rztLr0nSfZYQct9LQprEmjWAbD0GTGkSb1I+yQvS9FnxJHWL/+MqbS/3Avryg7WN+9bkbZ7SsvBfv0Omd4xSxBt+kHe1nycZFqXKa33wTGc93FM6+To+/lvsxSywH063tYHTN7BOE/yt/S66gbc9AO6yWA7TtgUFPQxJTaNj2GWpsk08WZgWI8T1sOI9TAiAqi0AufkQ+EzKGItdtOE9TiCM4amIAbPYG0CitwdEEoJPn+O5DTRdyFgZww240SfoxR8DPCRJ5aTx3aacN0PuO4HlFLitKlxUtN68+SN0RuL3WSwHkZoKdB6WhfjPSbnYbwjO4NkMZC3mTNGSb/+oPEXCXzI66uTbK8Q8rVjyMES86szlpKLEhAlOAW2CM6hOCcjWbB5/4cYKYE4MdTzRGUwZt5mLQVO6xonTY3dNGE3UaBMBklcCLPMUYq77HI6D8Kd4yw4n4E4HxNz3XvsJoPrrsdmnFArBevDS43pr7l8IJbTZB3W2wG32wHWedSlRl1qVKVCWShUWpIZ8BdS1nl0ncHtbY/ddoSZ0r3iE1dMiO2XMo6XrEAhVshrpPkCC/UTATNMzl85k2QS7gJs6F+7PMEKlOIYUXlIXqOW51j6XwBEsJQwqngLLVpovkAdHsGGDi4MWOpf0rrsixomGoo3iNJjGf8GwUsY9QtiShPeg3rEeCrFKUp5glIcQ/EGL3qbadGiVd8nz7wCkpUQvEL5IEwkNrMQBRTJAUUDxVsyQ+c1sbo/jE/zl61DG52PLe/9oCPkgoMJBkMYoLyCSnHuPEtzIofk8jWmtC9XSJr8yTs87bf4+/Yaf9/ezKiqYAz/09EjKC5wXFSzpGr0FrdmwM00wMeA87KF5uKLBp663YjteoAuJJarGro4HJB/OZURcsKVYtKeI/0szifrl/L4Z2lAxhnDqiwRYkQpFdbTiI0hM/RSyjnV7qioAJQo5Zd5rnyrb/WtvtUnqTgBcUevkAGbPv17BwIetkBoAGbTe7f0t6ymF4o9SIKBwKC4AYEiDcBr3AWehoPPSp8dLQj8EcRwgsLLsrmYwBBz8LcbABX9DJFAlbAmQCsaEFgTaJmsohd4ArVY2s4tgTmsTuvbAGgJBHsd8BQtAXPh4gDkyuufAJq8PDTpMzYJKEv7hFVp/09pmxKoBpbW9cV962jbYkrEZE36jIPnWJxo/8acGJm2FXn7Szp+YUfvy8eQldiDTp72R5zS8a/268Pb9Hn3AZ48uslgNxn0M/BjZ6Bicg67SWM7TuBg2KX32uBnBlEhCYgRjGMzTliPE26HCZIzHFfVHBbiY8TkiO20TWBPIQWsp4nPYN0MmvgYEUJIoBJ5BlVKki2AFPAhojMG24mAp1VZIAT6m9E5dMbgctfj980Wf2y2aLWGCwGSc5RKzgAWrQuBYE2h4ZKcYXIeu2lCZwwGSwwiH0LaZkUsIuswZt/LQM1WwTlqpVApku0tQF6Vr+NvD8biqutx0fUEZAXyZ8qglRZi3nbBOLbpuLgQUGuNRitoKVJDGdiME/7YbPH7eotKEwgkOMfOmPlFQFpAZwxqrdLykycMozEleTZZWJ+2WSkUiQ0WEGF9wJDOlc6YdF5M8zn1Z8GdYgS8J8lmNxg8v97h94s1xsniaFFhtajoa1tBSQ4uPk9gwavKWY++n3Bz22O7HTEZ98mPS56fAMCXIkkUrITmPH0lQMaFATiQu/swpSS6NWzoMbLr1y+Pa5Q4gWQVanmeUvLovsxSs4fsD0h2F6JLyXduZlbdLUqMo5AmBcHKmSm1pxVgJhSQ12uVwKQSMofiHJTiCzSKQ4tV8m2TSaZK7//wyvYLZDaueAslCHiSvIFg5bfE3veoCCAGUgoBH1/e+0GMp4AAF90st1NBgfm9F0pOs+P8fp5LNnh0zmBrRjwbtvjn7gb/Y32ROkzkjdMojR+aVeoHkpzKBI/bacTTfgsbPBQXONLVB8lE3rr9mSad2UAzMJyBGEJj5t8f/G3fT9jc9ri+2KJuC2gt0S6rTyWVvVeRYSSHTMfNBWKVydQZA6hbF+LLZEsaHOYba4TxDpNz1Flj7A6S6kOAC9Q5NJ4kfe7gZb0/AL+Sn4IPs/zPBep6zYOpuDe7rKRCLKl7CERcjz2edTtoQQNKoq9yVJn2/iVRzr7Vn6oOB2Ixyx7ujM7Y3CF+1Z3+sBNBX7+dq9/q4Yru4iaBL9cEVoRk6p1fYARSsHX62ZrAE0SALQDeIrIKiAWxhOIuMZiuEvhCLJ94B3jqD4Cn/DmRAKIZuDn0a8o83MQIij6xdgZaN54Apww8xU0ChPLPYgKeaoCNiDMYwxKQk7aNten3FuACiNUbHg8JhAsXCVTKwJlMbKmS/KqYS6u+OZAULkDAVnOwr8eDdeUH61rt2VfRAvGWljHv/wVilPt9FIc9mIfEvmICQL0HkOZt7mgZrEVkNV4GngbaVN7SzxhPx/l+M0wbPDpjcTMM6MweeBqsxWgsbPDYmQnrQSLESGymcYL1Hm1RYFE41FpBJVZMBiwGa1FIgRgBxcXsReECMawGa7EzBgtbwCawJ8vBnm13tJXJULpWCqN2mJxCozWaqBERMVoCmABgSmOekKR8o3XYThOuuh6/r7dYVQWaQuOkrsAYQxARKsaZgbWdJozOEgMbgPG07JthnAEWkrER40hwjs4Y9MbCeD+vrxIco3KoNbH8Fedo9Os9mUbncTuOeLrZ0rjJk7KgUHJmfNdao1EKgnOsxxGbYYINHouiwFRqlErN47/tZHDVDfhjs0VTaDSatnm0bn45H1JzmCwZauUwanfnCiYjcgKeJudgtEchxczKsj6gt7T9vbEYLR3TUko4H/Dy6PPrrRDJpHsyFrfbAU8vN+gGg9E4OE/+uVpJtLVGlPGLAVis8+j6CTc3Hba78U6K3ceqw/lXyIxAH8ATa09Ijhj24MmcwcpeXA5wZ/6WihRub96/h39zJ2Q1/Y8zktRp1gI4fenvQ3SY/BrGb8DAIf0l2BsmgYJpCKFRiBcBpPcrshcgtq1E9RIj6n1K8RqK1wDOP3wFX1UxIKTnDwF6S2i+SMBT9Z7emn/NevEaMtbDWPKrlUJAJYkvZwycP6y8972Bp+xroLiC5ukB7Ue46MiYDAyaazSygeT3+5itNfjX7hb/2t1ibUZwxvFTe4RbM2A9jeicgU1AAwOZkUtOX3tn8Ee/Qe8sFrrEk/rj3/y8o5udd6kTlZIdnPP7r+n3h5Tgbjvi5nKHm8sdjs9a1E2Bk0cPczN5qNKCo1UKR2UJHwMu+g7P+13ybyogGMNl32NyHjJ1GsEYOGMohMBCFzTQMhP+4/YG1+OARmm0WqcBInUu19OIy77H5dDhqu9xOdCr1QWWBSXgqUR9Z2C4HgY87ztc9h1upxHrkaQG2VcqAgkwI7r4Or3ncuixnibY1I2Mf6ohy7f6mspmqe1EEhiWbuxaS4o21ck/JHXxgg/wIUkjRPJ7eOCUiW/1rYghtCUwghUAPwEBMlcJjErsmXAJ6urkEASGGbSCA8nw0tSSJZ8mAMAIhEMZRiQQha8AdrYHY+KQud5vWFmWAKm0jDxgz/5JMQNThoAtpghYEQsgOsxsKGS/pYC9pCxL2fqEv9T0uzfuu/yZEQSSCezBMo+ZwcTycjKbK4FvWeYXJ1oXtgBEC6DEXtJoAWRvuJCWr9N65+0RmAGmaOkzkaSPM1vKAsEAuMVeiifScvr0OdmTg9Gy2AKAIgYYS0BZZozdo4z36JI8SwmBVVXgvK1x1fW4YgM244gxMZH6BESEQJNt6z12xiDEiKOqRKUkYiywLOlVSIllRd8vklRPcD5L1V4E+bMUb7AWi6LAoixQKzVLATd+ghICC84g01gFSCljufvPGQop0RZxXo9lqWkd0quSKknZGOSdddk3Jo3z2E4Gm3FEISRO6gqC8X2wi3eYnMfkHDhjtL6FBucMJrG6RJIRvll2ltnqqaPNKIWOg9bJ+oDdNGEwFgyYPT05YwQKTrT/l2WJSiv4uN/uptBpvQoS3QoBxohBdtbUOG1quBBgnMftMN7xk9JS4riuIDiHcQRQbadp3kfZuPxRW8B4j+u+h+9CklXe69T7aoozBik4tJQotESpFawLEJwRuJLmFNYFKEkgSz43P2c5F9B3hhhPuxHG2Nf6Lj1UxUiyRO8jumHCdjdhuxtRVxrLRYXVgtQOwUf4EGaPLM6psZeBT58AK5/uNzS3ZFCKQykx+5dl6CpN1REDXUsh5JRqWjb9jF6Cs3uO1eLB61u9rnw0mMItOvsHjN+AM4VGPUElz5Ls7/NfC19b+TS3GEaL202Pm80A7wOl2VUk782vhzQY/yB9kWACmmtorhFiwBQnjH6c0bCCF5Bcoor3M/Xb2gm/dmv8HzdPUXCBhSrwY7MCA9BZM5tO54hdzsjPRzCOzln8MWyxMSOe1EsY7z9k095amRprJgtrPKx1cNbDGAczOkyThRkt/XtyCH5vtNftRtxed7i92sH7gNPzZULnv5xSQqDRGsdlied9h4u+w804oE0AjxYCN8MI411KEWQJDGQopcQiUc4304SdMWi1xlnd4KyqUSkFlQaGt+OI5/0Ov203uBkH3I4jbscRrdJYFhqN0iilRJWMwK+HHk93WzztdtiaCdtpgmAMC02gFsCIPi4ERu9w0Xe46DrcjCO2hjqohZDzHOHL2uvf6q9Q1jp03YjthlgkXNDApWkLkopqsQedQoRzRMEPIUBrSYOnb/WtHrriBJJerQHxmIAnlgzOM+gUO8APmD2SGN1zZ5kYsyllKscwJ9ZSZiVFBwJNQL/njwGxAvgZyBfqwBPqjcUxex6x7DP04uA9s6F6gB0RwCV+IIDLXxBjKLOTokvglKblRgcCaBzISP1N44n8uXm7GC0jD4TvgE4JeGISQJGYS1MCw/LvOcBPAX5OIE94nuRwY8KDsvQw+WbFAPLI6ugzmQJi7vwmgGoGnRT28sn+hW32ALLHSPaU0iCGVHrxJp0T5b1ldgASsEHA03nbYFWWOG8bMMYIbBgnAlqcJ0PvJP/KPkt2IlnVqizT+EFgdQg8pe/bQs9ysOyxtDfWpnOD2FAeg7U4riuc1BVOmxrPtzs8Nx16a7Esqbmmk+cTgNlSIILGnqWSEJxhsHsQbFkUWCYgJksDGbL8f2/yTWdNhElSu8044XGrcFJXqJXGs+0O64HMyDObu1YKtZZ4vKTgg4tdh9uBmGhHzr1xsh+BmUUE5CAfAm9iBJz3GCwxzEOkxmP2W7KeQKMYgWVRolYKnLE98KQ1lqXGoiySnxMBWrVSOG1q/HR0hOu+x/PdDuu0vjESePeobXFcVWgL2ubNOOF2GOYJfqkUvitaPFo0af3pPGIvMOe/9mKM9gcEh1aCmGiFpNRAzucUwSxfdD5CIhIA95nX3VpiPN3ediS1+wSMpxAirAuw1mGzHfHsYoNnl1ucrGrEGFFXCt5HWOfhrIdSAkoJSClm/5oYI83PrIexjsgCnkDNukzsQQUQG/2Qsp6UGolowDmHkhFSCvq5o5dSBFq9zY/rG+R0v/LRYPRr7NzvCNFAsAJafodanEPyBq+UCnyr1xbd98PMWHx+tcVvT9cwzuN4WeEovYAaWknMGOwD1AcxnrKcTjKJKU4wwcAFd8dg3AU3A0Vvq8FZXAw7/H1zje/qBU7LBj80K/TO4Nmwo6SzEMhjKLFseJKnjN7hZhpwPfbY2QkuflzgCSB6mvepC2E8rHEYB4tuN6LfjRgHA2sJlAp+f2vpM/B03aFdVTDTx+8QvGtpIdAoDVeS0buPZLKZqd6lIEp8NueupEwAFEelFI5KMn/vkt7fJ68lonJn01XAJBo2eRgQm41zSlUxnuR9DAlkjBEmeEyeXlmPCsbgYkwdM0sDTEZd1tE59I4AS84YeSIoWmctBBQXc/rMt/r0FUKYu1I8dY0OgZVPKSmbu14fYV0OmUtjb7Hbjri96cE5g9KSBkZaoCzD/v1pXZwjQDt46kBL+WGa3C9pn3+rL6lcAkF6EJOoIIlYyCADQAwZB0SR/I+yN2H2JOIJOBqxT6bIbCSzXzby7zzI1HqRGDQZsElyu0NAJvoEFGUpWxbtAHvGUmbwHHwfDb2PNQRwRQPggkC0aPbvR40ZKIPbbw/8zHR5fR10rVnyU5orr1syFZ/NviVmQ/cwpPcFzCbffEmAWVxjZiNFBcRsAp4kb2BAsLQ9YCDD74A7RuMZDGM6bfcE8odqDrY5eVPFcLAuPDGeKjC+3ANQ7PWyrleVT9K33hiEUBGjqNAEIglKQLbBw6dxUgNiLkmWTJeTJxFjxDTSIqJW2XtIJlCGnuuH8n+fJ+xJoj9/TcbgknMsigKnTY3NOMGHcEfWloGrbPBtvYdLcjvBGKRSszdSeeANlYGbu/sgzkbZNkndJr+XpkVEFFKiTkbpmSWWAaNS0vKPqwoxRtz0AybnwZkl2dmbCU/zF1IRsTsWBgGUzjcYBx8DGq0hBZm5+xBnTyieGosZeNtvs0zbnJgl6TgtS2K2TY7O+c7YeZUy81xLanIKztM22xkkzOBSpQhILaRMYMvnB1wevNIxOWQ+KemSYT6BKJNx6EcDzhlKLYlN8xme14fzFef2Hk+73afxeMqMJ2M9+mHCejPg8moLzoDVsiK/LOsxTkQC0Fqi8BJa732LwiHwZEga6hwBT/lC8T6A8YNrJTHPsxG89zRfcY5DCE9jtSRZqkqFutZkqP/NIuHeFWMAGZt7StdLX0d/jdFfYfRX4NAo5BFq+RilOIXi9Z/vfvCRK4eCeR8xWYfNbsLFzQ7TZOF9ltxxlIXCon3YpMAPc1Q+1LVGSrnz0UMxkt9lxtN9/J0A2hE+RtgYILnASpd4Ui9xMXZvNX8+HIJ+imIgJFup7GPFSFccI/oOiQnloAqJpi3AD1DvXamIyWAcqkpDKvHF3ZA0F2hTJLBPANN3zQKFlCiFhBI8deIiNOd4sligTkymVVEitBELXSSquCN6fVliVZQoUyeNBh40uFvoAoOzM7X8qCxxWtU4LquZwSQYw3fNAlpInNX17AvFGcNJWeG0qtDqYvYhqKQiGrrSs6+CDwGlVNSZ1AVaXaCU6ovb/3+VMpND3xsMvUGRHtRV/W6TmoeqaXIY+gnDYFFVGnWtUVYPoxm31mHoLYbBYLsZsF732G4GlJWCVAJKSZJjZAAo0iDH+xStbBy8D5BKfDA70kw0UMz7vKo16kp/axj95esggS1Oe9lbuMHsvQQF8MwwyqwmEEg1M2A8gRpZ7oZAP9tPezEzdqIF4g39OlwlYContvUEcMVtMinv998jMa0Yw2xyHjYAMwTUhHValsM+Ce4VJzjLiXHAPhXOJ2CnOgBa7jtUYnh5NMIS2NQRQIRDYCeDWnmfJGnbK+Onk99SWKf1ScuYWWR5GQKzDHEG1TjAk6E4q2k/8Zzel4BDJkFMJn4APuFgnV63Xm8vYqfTZNr6gNt+AANw3fXojUEMEZJzaEE+kBm0iZGaYFIptIUm82vO4Pyr74E+RNiwT5vbJjZRU4zYjCM2w4jRWvhk0J1ZP4eVpWeDtTPDZjtOMD5Qmt44ETCQxiUA4EJqfAmLwZCvlD5g3e8mk9ZlnI3RF+ME43wKRBGYnMdV16NLCXgAUChJzc1AkqtDltI7Fbv77WGUdsaHtRBgBSO/LLFneWkhUCtF8sHkAYXU+DPOgzOHwZD592gdfCSZUQaIXnUu5BQ94zyuu4G8skYyDS+kTFLECA5KBHy+7RBB3l/GkY/rnynRblZQJBDShwCkpjpADShjHDa7ESEQYLJaVFBS4HMG3MWYGU8G6/WA3W6CMR8/1S7LRgOxEKCVQFMXKAsFleZTzgeMo8WuG6ELCWMl1CQIdLYEErF8/UdiURGgBOzihNFY8osSAkLQ3I6kjp6sZpLtQTaFd5aAwfw6PW5wfrpAoSTYwbX7rd5cAQ42dLChg/FbmEA+WIO/xuAuEaKHFiUKcYRGfYdSnEDyCt8GsO9WDIw80WSEVhKFFigL8jvmnCH4mBoaqQnwgJ/9QcATO/iPQCMCngpWEPAkCkgm792bIPCKzKYV41jpEt83S/yru0UpXj8BZK/5/qMWI9N0mcaqQnBIKRB8IMeLycEaj6YtsTpuUFT7ybTWknxeBouy0jN49SWVEgINYyiFRCUVzusak/czYHToncAZ0arrlIiyKkpUUsL4bBLuwRlHmSJ/xUEsMvlBaXzXtMkcnB6yWggUUqIQgszq0027EBLHZQWTJJfZB6IQAjoBYhzUoQgxoFEKp2UFN9PtkQa4YmY8Sf7lJIT81WqaHLabATfXHZarijp56Vr51A/pabTYrAfc3vQ4PqkhBENRqgdZj5xkeXtLgNNuN2K3JVlyXUdoLSAkn4GnnBgZUhfOGg/nA4riwyOkjXHYbkbcXO+wWJIJblXpPVnjW/1FiyfAJQNP1wBuE4hDXnoE1BT0ntkfCQnQaOhnoSMwCNkgnCfm0gHAMoNUloAt9JiNvWMGnrr0Edv06glc4hti/YADkScZWkqKw5Tes04Mo+zZlICul0oeyNAOJXPZzygzsd7GMmSveB1WZl/t9vsEnLb1zt8Drwd4QgIALQFycyLfIUiUQbaUfAdPf8PS/mIlwByBTiEfv8w8S8eQFQDGg2OewawM3r0f8CS5QCEEbPC4GcjLaT2M6I1FiBGaC5SS0tPy2CJECgchOVcCPhiHm7f3bvm492/KgNFmmtCMegaNBkuG3DKxPV9sOkWQcTiZXhOAtZkIJNqM5BlZJJaOEoL2XvIwGjmZiHeTgT1gpmYAbDPROmxGAqEm75MULwNPAwQfMTk6L0opYZgHPEmxaF3TTPk9agabXpCpMQZoIaEzXol9AEbe/6uyRKXl3DDM2wywlFBoMTpHjGHG5iCZF0tkEFIIGB9w3Q9Yj7TNMUaUSs7HnjNadtjt4AIBf8Z5VCr+qSRKERHOe0wJvHA+UNhIumWFEDEZR34sk4V1HkoKLJuHZSK80zonOwBrPfre4HbdY9cR8PTRGU/IjTnaT1pLNDV50ihJDErnA4bJYNuN0FbCaAkpBfrBoO8NjHEoC4miTPecg22ajEXwEYyT7FcpQUmWiUElJUdValSVxjRZbHYjttsR42Tnl3UeRaFwtKohIgMT7wfa/9UqRg/rdxj8BTr3DJ39A537Azb0M5YgGQFPtfwOmrcQWfL/re5de3mvIHmvligLheAjOOMExPpAw4QHrg9LtYsBHh4uOvjoX5LUHT7a7uOIfnjhC85RCoWFKlEJNSepHSwQIRJDygSiBwMAn5mnH/8kJKM6GrwIHuAlIeK6VNAF0aWbBQFP5QGLgzMGM5L3U7usoEv5xTFuZGYkxYhKKcRYIoKM9/K6vmqNGWOoU9TvPHl+yVfg8C8l2ndYr0ren4ESY0QlI6LOyRaYO3zs4Ou3+rQVQkRMsdB9N+H6qsOzP25nbwApqcPEBXWVsvk2QLRul0z95zkvA0ROYDjoYvtA16Ozd839Befz+w+PfrcbcX21w/NnG3hPA2qepANC0PckS+O4j89STGaVIUQMA4FalxcbdLsJw2AwDga6oI72/Dfpf9Z6jKPFNNIgZhrJw8OVfqZ7hxRoMG9bOskzXT+CzDVDiHP3lHGGvptwc73Dsz/WmEaSPigl5m0U6brPQG2W4nHGyVKHUVecjgV5f+QkGTpGKVAhxHl7GMcdWZ/gdHy925umxnkH7I+nEPvJ4Tdvq49cTBHwMMcuJ8YM4wAqABrgiQGUTapnbyRKVaN/J+Ao+w3NflAKiIktxTLgkyfSU1qHxJxiBQhEifSVZflYGrJED0pUy9e1JFAFGZBKDCBWpHVrEqiW2DusTKBS8jhiCntZX6T0NrYE4wu8nfGU0/ca7FlLLwA0McvYfAJw8n7J+6bYv5/pPdjFWPo9JdsdHKy0PTL9WfKMAjtY17xvMmAUDz6/AYQ82OYwbzNYmdhlMu3HErMP1HtGVUtOEvxVuR9HGOcBRgwXlptXWqOQgrxskjy+LZJpd1HMjKdsOp3Bn+znlL2McmqtEgKVUun3BJYITpL7ZUm+SbnxpARHrRUm56GloIZqpOdFkeRldG8kCV+Wg2UvqEorFMlyIK/DfLTye5Sa2UQ+0Di31mr2nImIsJ4YQ7XWqJJU0Hg/Swk5YwBP219oFFJCHch5Xr//JdqioDEyXmRfsDnwJU/a8/7PBuzLktjhOZ1YS9pm8lllsxl4qSSWZYk6eYEyAFIQqNgWOjX9aJ1ftc3AvvGSH2o+sVEkY6g12SVoIfBnahnmuU9OWeTJnDpbQfgQ4Y2DMQ5aCZgXQos+7boSG9v7gGkiJnfXTRhHe2c88ylKcDICr0o1e2DGEIllPlpsuwml9cl3SVDTr5swGYcQSwhJSXjZXDxL+KwlIFRK8obKrLPJOBQFgVgVEsA1GKy3A43Z0nuGZLVC5/grZ0tgjIMzCckLKN6iFMcAAMVqvCnh7s9cEREBHj46+DjBhR7GbxHhoXhD+0meoBTHKMURBD94dj70uhxcX9lm5o5cGV/7HJL8y7KFR6EkrPJg+RngA0LYz7Ueqj6IauOiw+QnDH6Ai46oW4zDR4/RUypdNh6/TzEgpYDQ44S09R4+vtzljwBG7zB4i5tpwODIJ0kwYsh8klOBMRoacwCMg4WIstI4PmlJouYD2mWFdllB6f2ujoEmbYwztMsKdVt+RZOq/YV3MKx67f5maR/l7z91vQok+zOZUn6N5b2HmWgAdX29w7Ont/jXP6+w240YUjeqLBXKUlE3KiW9ccawXg/Y3Pbo+2keqEkl0LQF2qZEUSpISezDcbS4ve2xvulgbWIWMKCqNJqmQPPCdXd9tcPTP27x27+uMQwk/+u66c66FKVCWUhw/fZbp08DFWs81rc9rq62eP50PQ/OnAuoB4txpJdSAr6QCCGg2424uemwviWJUwSgpEBd6zk1ZUp/5zLIkyiyUgpIJWhQmN5zmJp3c73Ds6dr/OufV9hshnlbyyptY6HgPSVzhhhRFBK6oOOQ9633AZv1gM26p/vcosRiUSIEYLsdsN2MsMalwVygh1qR9l+pUFUKZamx245Yr3ts1sP8UAeAtqXjU9d6Xm/O/5oDsU9TDLMH0pxCB9yRa8WQQJEE7uS0tuQBBFalf9cAP6K/ndk9CfSY09j4yyBG9m+KkUAstkggyo+0zGjI8JwfJ5AngTs8GYuzlpbJjwF2TJ+V14W1tLy8neLRHviZZWTJpyoiAVNZmlbizYwnTZ8JRuv4IugE4CXfpLz98z45HCPJtA3pc/mKfs9Xd4/XvA/jfvlx2DPAwNL6t3QM4gTE52m7aoCdHWxzONheDcQmgYeR9tfs6yRx3yS7w6qUwmlTQXJ2ZwxLnkkBLoYZkJCC3/F0KhWxrkslUSg5gx7HNYXWSM6xqsp53FhIYtmftw0451illLnjqsKqKmfAanQumXmrGWD5brnAsizRaPKPYozhx7hEpRR8CDiuKzLD1noGo0ql8GjRJskcx6ossSzLO4ljj9sWinMcVSWO6wpHVYWjioy6TeGTqff+/pf/MjOLfAjQUuCoKqEFR4gcJ1UNBkqnW5XFG1OHaqVw1jQEsr2qccj2nqlg7M7+r5InZvax4oyhUBLnLQUPCMaxqshYvVLEHskpd22hgQQqPlo0UILPTc3c4Di05M+VfXgOz5VDg+1aKxzXFeTn1Jk9YDGQr1OhJGyhUGgJrSSM9XMj6XDMnZsxn2sc633AmEKUMuCUG4LhEwQlMZasThIbSSuZDJD5zA4bRwJ/up6kvLnpHCKpJKQkI/eyUCgLhXGyMJPDZCiNPHhSYFgXEKPZNzoBaCVRlRrLtgRnDMNo0fWGCBPJSmW1rCgNbG6evbANYBCsgOJpwRrQfAEAaNUPST721ysOCc1bQEYIplHwFRr1PSICBCsgWIFKnKCUJ2AzC/fjVQacstefDzTOzmnrX2vFSH6vObAAwNzsjQCsI/DVh3AHgHuIen/GU4xw0WEMIwY/HKRMsFlyxxxDLWr46Ocu15sq32AF40kqRXp9H+NLGx4RMXmHrRkJePKWhrl8n7D2sYulhzQig0CkcSBjODptUbcFaeW1gNLyjseTENS9zxPZpinAvmjgKb6ANMU7oFPuSr0a0/+8iPDn/vxv9XJ5R9p7Yt50Mwiy3Y4YeoO+m7BYVlgsS7SLEnVdoI4UIX170+GP325xc72bE4KKQuH0rMXZ+QKLRQVdSBQF0HcTLp6tZyApP/lXRzXOzhY4DTEljtDZnIGnf/3j6g7wtFhWWCxKtMsKixghJcd9eHfBR/Kw6gw26x5XlwT4OOsTe4rPoNM0WhSFJLAnRHTdhIvnW1w83xDwUkjUtU5gDr1nnMikfBzNzH4SkqMoNIpSwVqSMW43I4TkqGuNui5wfd3heQae1v0M9i2WJRaLCk1bwKSwBB8CmqZE0xZomgKxoMGddwGbdY8/fr+Fsx7nj5az1PjqcovnTzfo+2mOKi5Lhaal47lcVoihhpQC2+2AZ3+s8cfvN/PDnTGG07MFzs5axNOWGgqCQ6pvwNNHLVYDXAE4wv5mn1gH+fmbJWIA9lI7hr0/VJZtHXo64WBZwAwY3XmovPg5mQnE0no9os9jGmS+fTDgjBWxdeJ32MsFNfYSMo99QltenkxATgJwaEqCPQCUtyeDUm8495gC2BEt942twUOG1qv2Cw5+lwG+BDyxCnMi3p33vbB8f03gVxjSfmgIeIsDZski/44ARvH9wTZH7JPsDuV76ecsA07vJxehBLgai6JIWxtTStz+66GkPnu4AEggBZsl/pxzKMZwkgAgkokJyMTWKRilHSshsKpK/Lha3vFkarWGq+keqoWATulzxOiRcCEQOJLGbLVSOG/bWXamJcnzc5pvpSQetQ2WZUFMLCFeYiBpQaDRj0er+fcEIO1Z4bQf8vmwH0/lfZRZXlned1xXaAqdEvzkG4GnSitIQQDRvu4ex0OhAN2LMe9/mRrCIjFPS0nA07IoZo8qnRhMy6KAa8K8zxkwM9OOqorOoIPj/NI2H9wW4uH/U6MpAJCcoRDyq574HVYGUjQDSq9QKEmgihQHzIr9/qJ5zudbX+/T+COzh6bcAHuLyf0DFU/nYfbH1EpAa2JD+gQ8DZNFP1r0/URPKEH3kRgAxhkEaG5WFtRsm4yDtcTgAjD7bk2WmqSMMRRaJlBQoK70bLrc9RO2Bf08M7tXiz3wNM8V7xSDYBqcC0heQIsFGvkEACB5/dcFnpiA5gtITnK6EJ/AJ+CPMQ4GAcE0BC/BP9Cm+j51CDqZBHxLzsEk5mbH11lxrwpJwJNM7D8KwvAw6Xe5KfJQ2/pgR+0wrjbrwx2jRLv4xsHYvjQXWKgC51UDzQU6N+Ffu1tcDDts7QQTPDZ2xLNhi39ub3BjBtxOA66nHoOzqKVCqwosVAH5kbvjh2DGHWkfY0T2T08FIQWkoklmrhgiypoOplIimYs/zHq9CNAF7EE7xvbDmcMH+h1J5MGxmmU/0cIGCxc9JJOJWi0SEy3Q0JQJSCbAwNPn5c+k9EP6SUJODwYbh4NQkuJxcPAHAYs+C8MKHIJJKFaiEi2W6hQnxQ8I0aNVJ2jlMWq5gublW4HYP3tFEAhlJoehN6hqDZt8HmIeiEfAGoc+/SyzbDZrimUGI1malBwMDNZ4tIsSAMM4Wmw2A64ud3OyiSpkkoHlc3F/vjsfMI1kdj6NbmYSEZsI1IHdj5TvtX15UpUT6ryn60UIPgNKWgnILP1L940MJDnraRweSYpgrd93FNOyXQLyxiEZ0hYKRSkTK4q2g7P9Pdr7QAOz3qAo5bzMLOGLkXyg+m6CSfJHIYnOngMUfAjoe4Ob6w7WOFS1xuqohvcBu82Iq8stxpG8EIQUCAHz8XTWYxgMGAMdz83d48k4g1IkjQkhIpw0kEqgKB/G6P1bvVx0r8xgxyEYBOyHGy+CJS8CKS8yfd5lOTj43Yut4bcNwCPICDyNPdLzJD/vsgclfQr5TjFWgxLd9r8BDgURL29Pfq4d8lLotxxx3ncvfmaSzmDfmKOfhvR5PP3uTRPozLp6cZsPv6bnevRAvAVCTcATb4jxBAZK0BuR/bhY6q7vj8HBNj/wo0klsAVQd5iNec0Pn9WHv7+zVgfv4YxBao7qFS0AkqIBWgoQAHm/KlJq3IuVE9VeV5JztIVGU+Tjn7brYH0LKdEWr/jjVHmM9tKV8oYxjNQc9b1aILhjhP62us/+Z5yj1RqNfv023/l8KdLxuPs5+TNet4z32S9fa+XGO+eZ6UZsm5zcTWFG5MfSVBpafT6LDuc8xsFgsyFD8XGi8JNPpfxjeX9EoNASrtLwIUJJ2j+cMSjJUWpq2NWVnpnrUgpoR+DtoimIVa0kjHUwKV0yg33eB4iJz0BXWSpUhUZTF7TMQhHjuymwWtYAkt+v4FguKpSlmueCL8FOjIElUF+ggELzdivBv0AxRvNL2ieftyIwNwZcoETS0Xlo8XWznYCDEUQ8xA3yOGIvOR0nh34wSY5HiocPveu8N/DEGINiCrWoYaXF6EeMYYQPHoILSCZn2RtJ396+qo3SeFIv8T+tHiHGiOfDDldjj//cXuOPfoudNfjn7haKS1yOHTpnsLMTJu9QCIlHVYuTosajqkUpPo9hdwxJ3jKQ9K+qNTjXODxHY4zwLsAaR33WPLF94AoxwEWfZJCEJIskbwgxICDMg+TZE+aAXZYHzlu3w9bu0PkBS9lioVqUvMQUJkzBwMeASpSoRAmVACkfyfRPMgnFJD1Io4NLXmDzED4GBJAcR/Ochvh5Us0eojgTKHg1X1mCKSzkGSICSt6gEDUaeYxGHoG/p1/G115CEh2ZMYZ2kdg0bYHjkwbffXeEH385RVkp0uwXah7gDJ1BtyOfk7JUpM2XAlwwGOPw7Nka2+2AR49XkFLMflDOeUgpsDqucXLSYnVcY7WqsVxWCRCm833RlmgXBdq2wMlpg++eHOH7H49RVmRaWVbUGcteRm/dTsFQFBKMActVhaOjGtuTJq0/JeYdHTc4PW1xfNKirBR0QQkoVa1xdNzMCTbWOEyTg01gWGZMArT6fU/7aBzs7NVUlhptW+D4uEFVaRQlGWkuFiXatkz7vMV3363w0y+nKCtaJ60lnCMz9GmysEbDvwhOhQhnPcbRkGwyDTy9J3nhmBhmR0cNTs8XqBs9S+0y4227GbDZDHA2oCgkgfSSJ3ALuL7usN2OCOk+ulj8NTuAn6/e9sxmr/n+Q5bzfpXhoBADQvTp+cMgwMGZQPakzM88anCw+dkTEcCQJhh3WLyHTRkgIMzNNH4AGOXnGE/LFkzcef5ycMj0/M3L8NFDcpkG2e9bL4J0JbGZZN6GxA5jDRALgJ8SA4o3r1jOp5vE3ueMOAQ9voZ6iPX8Urb1vvv/U23zl7JfPmZls2xjPYaUxrbZDbMvYlNqtE2B01WDVVuiqTSE+EzAkw/oekNhKdsB02gfXI7zpsrAEwNQJXCnSP5OMo0jAJLELZcVCiWhNbGjqAFIM5CqpLGdlJQoXBYqyRvp7h9CgHWUWscYLU9JYjvVlZ4tDFbLKiXf7T0x60qj0PIvce7+WSuD8H5mPFF4BSBRyNS8/kpB8OzzJ5KXLkDSO+dJZh0i+aRtuxEX1zsY69HWBRYNBz7wvvP+wBMYFFeoRAUXHDFiAknvKlZBMQXBxb1BJwBoJAFPnDH8a3eLf+5u8a/dDa7GHldTj50j4GlrDf5jc4XJO0zBQXGB/7I6x8/tMf5tcYLzqkX5DibUD1khkLym246z54oucoIPFT1gPKzxKbbw4c34qKca4KKDCcSEUEyB8bsJhPtBeNLbJ9Boz0UKWNstno+XuLUbPCpOqTMjOTrXY+s6uOiwUgsasAtN50Py/CpS4l+MgA20Lj4N0iNCAqloXSpRgTOO4h26lF9acXBoUUPyAqVosFBn+C5O6XcigX8Kimvw9/DK+DOUEAJFyaC0RLsg+VXTFDg5afD4yQo//3JKtGhJso5hMNiuB1xd7eAd3ewzCFSU5L1xc9Xh5npHPkRKYLEsZ/Nr5wKqWuHoqMYPPx1jsaxR15RIcihxbQ8AmZPTFt89OcJPP58m80lBxtvi/ibXnHMUhYLSAuNYYXXcoOsmcM5Q1QWBS0c1jo4aHB3Xs7E345Qyd3RcQwiO25sOt9YTnd2GPfBUSPKF8gHx2SYl8nWz8fjJaYu6PsPxSYO2LSESs4q2s5hBqcdPVvjpb2ezQTgDQ7cjD61pJJr5Hf+G1CGx1mMcLKbJwpi7wNMwWNS1xuq4xi9/O0PTFkRBFww31x22mwEXzzewadmZpVWUCkpJXF/vcHPdYRotqlrj7Hzx9h3+rT5DfRmDLmIX0nPNBUdgD2OITEEyNoNAPji6B3MCguhn9AwSTEAwklAB2ZNjbxGQ7QVcsg4QjENAADHCJzCJg0NyCQ4OHwNssDDBUsOHk1TAR3ouu0C+c4yzuSH0wcVKApdYS5I7GJBBfAVwDfLvyl/nP3qYz37g+jLX6q9T3/b/p6ssLXU+JuDJYNtP2HTjHMahJCVPnR03WDUVpLyrpPiU5VxiPN/22GxHTNPHT7I7LMaS3DAZsBda3g1RYQylVlguKngf7gSUHKouhEiewozGU20bEkMVyPBrNh0HMIfXyIPgk0JLCFGjqe9SGjPz6Vt93RUSwz8zniZPY4vD8IivteagnzSn8WE/zo+R7kXbNBfwnoI5CPD+sM/9IFoQB3X2MsAEYAYvMsU8130ooaVQOC4qSMYxOYeNGXEpFFa6guAcrSpQCDmzmbJWvpIK51WDJ/UC39ULtKqA/oRGtIfbGRLjabcdEEOE0jL5PR1IelzA2Bvs1j2cLVCUGk2I4Pzd9tcr1wURNljYBP74gwGuZQ48TAl4CrPpe5YBZClOiCH5F3AwxmGCxRQsRj/BxpSkwQAf/TywtsKlbnOACRZjmGigzh1stGBAMor38yA9zKBT6v4yOacTfq3FGIfIcjsUKP+apKY3FnWEaMdoLaEUmYcXhULdFFgsK+o4JYN+xIhxtOh2IzinB76UHLqQKBPwpBMII6WAFJSKp7RE0xRYHdfz53hPmmZrPaTyc3csv5/WhQCQpr27Lu96TXLiyEOAZHVFWl8uOKrkt1QlllGRGGAA5iSVolRwNmCXWF7k/0T7g8wxaR+q5H3knMc0WlhHEr06JWmWlSbmZRoo5W1USqAsJe3zRTkPzkL2vkoPG0rGCwdSvDg/iHJqINHs978DIoTkqCqN5apC0+6lQpv1AGc9dttx3k9SCfLmSmbyRaEIVHN+Hhh+q09VD8VB+DRchgB65tjgZtBpH3YyJRDIJ8m4g+QSmisortIziVJxMyNJMpHShojvcfisssHCRpJjkLycjKxDkpFzxqG4hGSSZLBp+RYMJhhwxudl2GDRyAatrBPw9C4pOa9+D0M2ei8IeIoDgJH+PZuKv0oW+enqbdv3tV3rX6stwOvqPuvyqbb5S9ovn6rys73UEqWWs1yfJY+vqiCJ1+cs7zz6weB23WO7HTFOn57xNFucvAbbUe/gCRljhASfW94vnnVvknpmxkih5VtlxF9z5W2LMcJ4j8kRCDOnFyPOdimCk8+elgKK03x+Sp5B875kZK+jhCBvrphBvvCS912I2dBbzAEFIn3O4bpkQBGIs++cSuPHnA5pUkqo9RmnoOMkkpcd+fvR39kQ0BmDzhiMlrZhcg4cDC6EeX/kyr8f3eG6YL9cziG5gPyCpHqH53ZOno88ggV2J4V6Hoc/wOn8QcBTBimyh4FgApLTQMwnink2Fr/XynCORmoIxvFze4RSknxuZw22dkLnDCSjA6a4gOR0ctRS4/t6ie+bJRYJnBKf6WKntAeD3XqADwFVU8wsjVzWOOy2I64utmgW1NEPxzUiZ8B8Q33Pz48enR+wszuY6OaubESEjTQwD1mYEInRFFLHloai9F8pChS8QCE0BDgKrtDICpWgn2mmqLObjQ9B/4uRPmfwI2yw6JmAcAmgTB3lEOMMOB1KF2idvn4U+Vu9T7HXUlZDilL2PoAlcEQksIgLBiEljo7rlL4mcXrWomlLOhcfryAEn6VgT3+/Rd3oZBheoU4a/yqBNF9rmzd3/kQyBsyDsuxNcCdVZd7GN0w+D+amswHwge/WHmTay4SJdZzSYrSC0pIArBeOa/aIci7s11vy2XBdCI7FsoSUHN4HnJy2KL/5O32r15QLHoMfsHM9bLBpgHzIpk3Mo2hggkXBNcokDc9sWwKeJIFJWf7GyMtgCgbGG/oa7J5BnMArkVjdhzK7PXuKvrepeWOCSS9q2JwXJ2AACq5nqd+Hef8xzAbgLF0zc3qfwtclXvtW3+ovUizLxygxcNmWeHSyQKElRuMwGYdCib1R9Wcu5wKGWWo3YjLukwJPH6tet2vfZZd/AYfno1SMoGdqiNiMEy77Hld9D+P3qcpKChRCoJASq7LEUVWi1RrXw4irvsftMM4EB8EpAXRVFCikTICQuwMM5RRLGzwKIbEsU3qmTkmbUmIzTbjqelz1A6l10vh0VZZYlQWWJXk+K0HAyU0/4GYYsJ2mGezKIRGVUqi1okROrWGcx3Xf4/muw+Tc7NMoOSdCR9Yjg77dThMuux4XXXcnoKFWCo1WqJWa0z6/BOApBswWGowxAtyUAPcMDgGFpnvR2UmLZVuirtQM4H1IfTDwlCVdjDFILiEjLTJ3B9/FXJxMqzlKIVEJhUfVAtPSYWsnbO2InTMzgswZgVSN1KilQiUVKqGghUjeC5/+8o+RDIGnwWC7oZjx1XED5+6a7hnjsNsMuHq+gbMORycN0dhiTEkV77/uPnr0rse1uYUJBpWoUMkKIQZ0rsfO9QgI8yDZHXRxD30oFqoBJKC4BGccmmvUokIlShRcpwE3mYnnwWw2TrXBYvADBj/NNxnFJWpRoRbk05JBsDtm5jHe+1z5Vn+dyteVcwEiafEJdKKXSsbTx8cNilJhdVSjTQwbITiatsDN1Q7Pn23w/PkGZalwfGJgDZmMi8RA2tfXNTnLFPIsleM+7FNGOZup5y9NaN9hM2ej9DuAU7zzMwCzxwKZpsvZh+HOsmICE71P/jP7GFchCFRcLCoslhSXfZSO67f6Vq8qHz16P+LWrmGCzXbdMMFg9BPGMGIKBpMnT8JaVGhkg0bWM5MpIEIdAE+KKSguATB0rkfnOwx+nJcRQWBRfhbm52b2jmKMo+QFKlGiFhV6P2Bjt9i4Lca0DBPIYL8SJVZqCcGA+CDusvnCVgl0KnAHkPpW3+pbfVFFbAOScmktsGormgyXGpvdgE03QisJKe5vXfIxy3mPfpiwXvfY7gZMn5jx9K0+fUXEOe1sM034fbPFf97cYLCWJFohzgBLozWeLBcQnKGQEjfDgH/ervH7ZjP7CCsh8N2ixZPFAq3W6KxFbwx6azFah8FaDM4Rg8g6NFrjUdvg8aLFkS8RygKCc2xGWpe/39zCJW+iGCO+W7T4bkEWDaWSKCKZ8V8NA369XeOi6+CSpxGBYAVWVYnjiuaohRAYncN1P+Bf6zWM86gUAV6lknA+YxtsnrVuJ4PfNhv85/UN/IFE8zgt97iqyHlRireGVnz8SqyylJKdm8ZKUZJmBGbg6fykTRK7vSzvQ+q9gafsE0SyLgvJJFrZohJ7A9iSlyh4Mcvw3laZ5gUQHa2SEiFGNEpj6QoM3s4HmIOhTqBTKdT8tw+Bxr1rxRhhjYMxHpvbHrfXHW4ud7DWQycz4t1mv1/WNx122xHe+5SWBWI6PcS6AHDRw0TqsAomIQIZnU7BJDNwnzqrnHyggps9LngyZAX2cJJgApqr9HecJATRkZwvS+2Sx1fk1CEe/ITBp6SqBEhlw3mRzF454wdyO2LIBXzdUrtv9W5F5owCVaURQ8RuO+LZH7dQWkJrCS4YYgSZYi8rkm86D9/vdcihIFNuneRjDCTRC8mHyFmPaXIYBoNuNyGEgKrSZJxtCXwC9klzZaUQQsBmPeDZ0zUtVwsCUiSfQZKHrpC01d4H9P2E7WbA+nbAZj1gtyWj766bsNuNd4CYvp8IuJa0H7VW8HVAXWt4H3B72yOEiKIkSZ/g5K9Vlmq/z9N26sRSCj5AKkH7wgdsNwOlC3YF+raAtR5dN8G7PciVi2WGVXq9eGOTswSvhksphkM/zd5UIcT5eOqC9vnnuK+/WBlgyww8Zz1s8hDzKXY2SxN9ODg/w12Q7rAyM40xzPssJxgR+4u6UCLF3M5yUslnwPHPQuX/oEr7NUQPl3wKbWIY2ZCZ15ibI9n7kJ47ifWUwCYfPSxzEIHSWEc/wXgzs4WB7P5BYyAeE+MpPc8CAEQPnlngifGUpX4kJ48zu5jNz/4HGAPcORfy938+vffhdeVS+qd1Ht5Rg2K+FtN1OL8SZfPV1yK7I6vOTNGZlcn5fB1KKeZrUQj27Vp8wMqJSt6Hg2N79x6bfUj2qbOvvsfePaZ3j22eaGUvHiGTBCaFlmQPpXxIP/axjSD/15xayzlJiTg/uC/El77BxwSTDy+ReDBJHQeLXTdhvRmw6yYY82k9nh66HurY/pmvfx8iRkeAUGcMRucO/IDoPTn9zXiPzhjcDiMAhtthnOVq+XnHWcB2MuBsh3ViPB0ynFwgFY4SYvbVGp3Dxa6j9UigVGYvDc7OsjnGgN5aXPYdbPA4rkocVRUKIdEbg/U44mYYUKYkUwLMNCopUQgBmby8OCMJnuICnpPp9pg+16V5Q95e6z26yWCwDsZ5SMFRCAktOC1bSRRJevgljGfncSfbKyKyko481GjsqZVAmcbjD7XWH8R48tFjChNMMCh5iVa2UHw/Icqpd5K9+8dkvSEDQyEIqdQHSXUMxJDS6aTk7GGAm/epECKG3hCL6WKLy2cbXD7fYBotvAvou+kOo8IlU16lJIpKQWqxn6g9hHY+Ef8BOkYmMc98zHI6JCQ2RaUnMEgxkeQDct/J5dQBllxCRQkkk/ABIwY/oPdD6iqXmIKFRMDkJwx+xOjN3EFGTIBYsFCcQCgpJA3IvcMUDGywX73H07d6t5JSoKw02mUJHwKuLrcYR4PFokK7KFE3ZNi4TKkh69se69se42hRVgrl6FDVioCrukg3UQMwus5ub3usbzusb3t0u4nA3qBwd+CW1kVxlBWlvjnrcXGxwdBPaBcV2iUZj1Panv4owFNOtLGTw/q2x9XlFtdXu3mbrQtYXHdo2sxgoBpHA2M8lBJoFyVE8rjShYS1Hk//uMUwGByfNFBaJIBKoV2WCDHi+mqHabRolxUWaZ87RzTbti0x9AabzQbOBTQNJRAiAuubHs55MiR/B4lwURArzfmA9W2PzW2P9bpHOVqUlcZUkfF7XUdwzsnb6gsY1e59rQIm49B10/waBothMBiT0boxbgalnPXU/ZonFftt4QesNJnM3ykyW86+YFXeHxWlGjVNgaqiJB7GvvlfcUZBJyUv4IPHEAYMfkSI5G2ouIKERMnj3hScEUBNdHgPHzw85xBRILAIF8zsNZGbJKUoUEDPE1uW2E3i4LkJYJb4ZYBrCgYuejBwaE4S9RhLRES0sknNOfGFDEa/jsrghMvWBju6DvveYBgMhsFiMhbG+INr0c/hDCGGeYKfi/MsTeaQag8uaS1RHF6LpUbTaDRNgbYpKOlUcDAmvggZ1NdelORKYRrDaOd7bJ+O6zgaTJODsQ7WeDhPgKNPXoSZ8bAHD3MoyAHIlMDDqlIoS3qmV5Wa77N18mAsigQJf2zQKT1brPcwlqR1o7EYjcVk0kRWCvg4m1J88vlOCNTIM8aj66kBttmO6LsJxvhvjKc/ebkQMFiL9ThisA6CMSzLEk0CiMAAwbIfEIP1HtfDgJ0x2IwTfIiolIISnHydGIMNAc+2O4QY9/5Hib1fSAnFBQpJ8/zJEdPqouuwniZspwmbscRgLYz3KIUkkCgt33qP637AZdfjx9WS/KEqDus9/Y3zOK1rfL9c4rSuUEg5s5lqpaAEXW+rssDjRYvtOGGwDoOzmJyfPZ6s99hOE7aTwc6QDL/RmhhUZYllWZAsMLGlakXKrC+hDi06GMPBGDUZ6Wdc4oF5lu/PeIp5UDVhChMWcoFjdYxWtfN7CP7g92Y8vVg57q8QEpqLl2RYd7uFn6+Cjxg6g9urDpdPN7h6Tq9+N6HvpjltCwlN1IVEWVGqVVnq2QvlwVD3+TRhcDEACXjKA3FgHwstGE8mqTR41mkArbmGSl4XkgkoJuESgEgAkcfgR/R+xOhHNL6GCQYhCozBYPAjjDeAKCCjRGSADx4TDBgYtFQouEaMATGxsUzqBn+Oh+q3+jwl5R7smUaL66sdnv2xxul5i9OzBU5OW5JeLcmPaRwNJmNxe9OhGjWmysFaPSe98cSwiZG6ctdXW1xebIkxlIDgQ1+iu+tCjKF2UcAYj8vnGzz3EafnC5yeL+YbslLyo+Queh9gJktAz7rH5cUWz56usduN2G1HhBDRtuRJlW+FEWT0aa2bJ0o5Mc87j91uws1Nh3G0UErg6LihfV7SPh/TPn/6xy1OzxbzPg/JsL1FgW0C1G9vezRNgbopIKXAMBg456G0vJMO+LbShcTyqIZM5uE31zvc3nRkgj46TJND8AGMAVIJYkV9EQkiEd5HWOcxDORvcX3d4ea2w3o9YL0Z0O1G9INBPxiMo8U00SQipwJms/xcPKXqCMFnj7KiUPPkp60LLJcVlssKR0c1Tk/aJE2k/U3n/OfaH19GMXAoJlHyAoYZdDFi9CNR2tMzLcvgxMyy3YNDOWVORDGbhJtgMHliRGmuUQgNxdS8DDCW/C1DMhRXUEwhJKl5nh666IEDlrHmel4GZ4KAJ6H3SXqfe2d+JRUiRbpb49B1Bjc3Ha6vO9yu+/212E0Y0rU4TelaTF5/zoe7acKps50H4UVBQFNR0rXY1AT4rpYVVqsKR0cNTk+amTmjtUwR7t+O4IcWpSk59L3BZjvg+rrD9Q0d2812xHYzoJsBRkPAoqXAkMxy82k8cAgySSkoxELRc7IoFJaLEotFheWixGqV7rPLmibCSkCpu6ynj7jVCIHY3MZ6TNZinCz5O6Vtc2rPov0cFUKAMR7jaNB1BPbmYxFC+KoZT9/q7eVCQG8tbocRg7UQjGFVFmBICYOMJUPwAB8jrA8Y7DDL30KMqKRElbyOAODpbounux06Y7EsCiyKAotCo5ASrSZ/pgzgXPcDustL8k8CsBlLLMtpJlJk4KhS9BlPtztc9T2u+wFKcBxXFZZlAZOAp8k7tFrjl6MVflwtZwPy/DVvz7IoATAoznHR9VhPI4ynZiJihHGePK+6Hr21AIBGKzxqWzxZLvC4bfbkmM+ozHqxMttpBp7AEvAUgEPG7wf6Tr+qPojxlCsP1DrfzeDQXqKlocW7R8ffkW7QDx5iVT9KMQ4oLVDWxNw4Omkx9Abj0qBZlGgXFZTeI5w6pXdVTYGj0xZVrR+M7cRBndmlaqE5DZQ54ylqmqKgQwxzshwBT3JO6JGcvhaimFlPpSDWieJyHmAzxtDIOkkWKixUi1IUEGkwnWWYOvlgSCZnb66CK5SiRCkK5EQgWl4FzR+OznefCnGEDwNCHMCYAmclOCsSY4xS/b7VxytdKKxWNaz1GAeDcaAJQgaaipLSzZSSACJOTlqYyaEs9SwNK0u6nupGoyzVnJIHAG1L7KWyVDR4c54mEEc1lssKVa3n9JOyVDg6ruG9xzg6Soizntal1igKmej3736GKiXQNAWOT1twzlAWJHsrE3MFIIkapesJ1DWtYwgB7aLEeEQeCmfnCyxXNeq6mO+1WUbXNB6cE5BXlgrO+ZlF07QFdCEpSURLLFcVHpkVhsFgGi3G0WG5rNA0xd7ImwG+UpgmB+d8Wl/ax1KKOR2wLBVOThpidUbg6IiOZ1UpNA3p8A9LCo6yIHn00XGDcbQInhJAdUHsgmz63rR0DnwMhtnr6pBN4azHOFLnPU90+t6QzGDdY70ZsNmMBA52E933J0ugk3GwliTYh/KQmFL/ACQpBXmVaSVI0qklyiJ14iuN9rZH2xZo2xIXqy1WmZl2kIxYpXMp+2o9lBb/oSozxbwPqVM+YLsd38nRjydpjJSCgNO2pDRGScBPJSoCjlICFLGi1exHmJNaD9NUyYtwxOgnlKJAyUtorlDEAk6Q9PvwGbZPe92n3ZHZKCXZBcQ5WY9aPzQgjzHOzZ78TM7PSs31vZ79xjhsNgSqjKOlc+o9JqLLRUlg5qKaz5NPeX29S2XpsfcBxrg712I/GAy9wXY30rW4HrDdjdjtiI0xjHQdjqMhJqkhNklmxni/Zx8ytu/wCsGhc9Jqer6UCYC6aUu0TYHlYovnqxqrZZWaASmkIl+LpaJ779xN/nKuxbeVtT4BeD263uzTTF/z/sPJS9MUWC7L+dx6U5FsPsxgy+H9dbsdsd3SfYLusXRsu84QoDgSmDiOBDr5LHmepZXhDtNJzhJ5ApOkJABquy3QND2amu6vbUp4XS0rLFcVFm2ZGKd0TMtCoSjuNoof5tgSsyCzRZAmgTFGaClo/aoChZbg79FpOJQh5nP/UM7oX/c6kK0S6GQxTga//nqN5883833ovvegGJPH7W7E1dUO//zXNTjnuL7p3nmbPlYJzlGW1ADK131Vayj5ZbBUPlcJzqAFeRMZ79Fbi8040pxOCugkKyulhhIc22nCeprQW0vzzCzdEnulUqs1jsryjnoJkYLGDiVwrdYYDPk3Gk/XueKWgsYEnxPjlODQyeC80QqrkrxeG03rlOX2PIWUFclrqdavbiVzRkbiWlCYGaW/Y2ZCR4BAthAwJPkdZ2wGwWol0bxm2Z+78nZksF4IhrKUCEEjpHuFFOK97jdvq/cGnrJZLQfdgHvfwwSzBxjAoYXGSq6wZEtI8SAY1xdZnHNUdUGacUVdlarRsNbPMh2t99svJE0wlJYUq96WD4aACiZQywqMcbjg9qBdjDQkj9kOni4bBvJ0yoNhMkflaSBNIBQXDIqp5ANFnVoGQDCOWlRw0aNKg3bOCHBsBBmaC55MV8GRjeFJmpAMXJmE5hK1qFFyjZKXb97ABy4fBlj/HNZfQPAWkh9DimNwKDAm8dqs1m/1IEVgTwOtJazddy7rxNqpKk2sEMGBCJw/XqKsNMbRUJcldTP3Hk/7rrUtwyw/O5Q7ZU+pqtIoSvKHAoCq0jg+aVEU6k4HlVLvSN6UPZDetbSWWB3Vs3GfyN1XLWaQjORxBLLEM6CsFE5O2xngQQSalhhHZaHmicDsjZRS/zLzyfuApikxHVsUhUK7KME5R5H2udIS9qBbTPK2AmWtZvA3hAghBRbLiuTBOqVecE6yBh8hFTHSmmToDgZiRSlBEkl5d39xwaE0sXVOTtuZibX3NeLpeIrEPKBJ3KcsmwCnvje4vNri8mqH6+sOmy1Ngna7KU2CzcykmDvvSdazH8DHuSO8l/fQVx9AYERKFnHOzxNs2QlKiUnn9jwJrhSamtgXy2WF4+MGZ6ctzk5btItyBq2+JPaFcyFNWiz+9es1/vGPS/z9H5fvtAwhOIFtVYHT0wY//XhKgO5CpyYLg+QCBS+wUGQqmmV1PCXPsQMQKMaIneuwcx16PqBKSXcFL+bPpOccPQsz4MSxZ1Vmdm5+bkYg+TyFg2WwgxTZOI+dGGMoOCXE3qemyeG332/xn3+/wOXlFlOSkWWPuvvWLz+f4d//7Qx/+9s5gfcpLetLrBgjXQ+TxXZLk9XLqx1ubvbXYtdTwyJfi7PUNTUarLs7md77Q82fkrw2A2Jgs9zAOg8zOQyjpaROJaF1l4DhPSDVtuV8LZ6eNDg9XeDsrEWdQPovdd++roxx+P33G/yP/99zPH22vrPfXlVSEkCnC4kfnhzhb387R1MX9wCe6LP63mC3G/H8couLiy2urnfYbgZstiO6broD5JvkpeosSewymJ3Bphj2yatZ1nwIRHHuYQybxw79YLDeDNBKzvfZslBoGnoW5mN6ctzg5KTB8VGD4+MaRaHA+QNK8JKnipICWlIqd4zkZVsl8KOtC9QlpWG966fuQac4s3DpuUWNvnGyB6xAi2nMP0tfRzfvf2sdbm97PL/Yzml298W+Y4wYRguse3rGThbPnq+xaD/tuP9NpbXEyXGD4+MGp6ctHj9a4pEUf3ngSXKORivECEzO4fmuw9PtDoIzNFqj0ZpYRUrhpK4AMPQ2gTGCAjekYBCcXpILHFcVSqkwuZRm5zyNjzlHkQAqSrBPvkgMQJrH+uQnJVKDTXICiURiFC+LAooLnNU1ztsGtdJg6X1aCpRSJjDpw/bLnNKcpHeCMYgDn6gvtSIIdDLJO09KgbYuIDmHdQHWeai50f6w2/FBaBDH3ith8AMZcEY3D/Qa2UBAoJb1Q63vF1mcM1SNRllr1GliuDpuEELAYlVjsaygDoCnbHIItk+keqgHWAaDKlEedKnyU4ElU9TDn+1/ns3GXvgJFCRKkf9mLweoUR0Mvveyx1rUCQu++/78uYemqhHFvJzsmfEpK8Qexj/H6P4Dip8BEhC8RmDAp1+bv15l4Ceze/KgPyec8TzISgeirBROzxYHHbw08TswtM5vDzFisShJ3nR4DRyYxh4aY5cJiDpK1+7ddeEH73/37dRaQioCcHIdGp4CmA1soxYoSwLB5sS4tPrZD2i/Eofun/v9lJeZ//7QVLUoVGI91fOgfN5OzsBfmDAsltU8uM+eRHcYqWy//wGgrjXOzuIduu5h0c/EDBgeHdfzRDCzgTL7YG96+OmuxBgJeOoHg9t1j99+v8U//3mFX3+7wfX1Dlc3O+x20xxDG/LAO90L8wQtb8ubBuX03ggPSgqi2hs97r/f07QZp8nIyUmL05MGT54c4ZefT2l/iXyMv6xGj/Mk0djuJvzrX1f4r//7v/D/+q//eCe2jlYCq1WNo6MaP/94AiUFHp0vsFiUJA0HMWkXskVAPHiCHdQLl03Bizn0gtLualSinNm/eXxzZykvXXov3xPmY3/wxlelSr6Le8I4Wfz+xw3+j//3r/j7Py7R98T6cc6//Y8P6n/7X3+BUgKPHq2AuJdtfokVsuyqI8lwBi3/eLrG9U2Hq+sdMSZfYTK9B5QOjsQbTjef3+wx79MXWS2H9+z8PFi0JYETJy1+/OEYv0wOStFzi2R76ksm7L9UxhLA+V//93/iv/+Pp3Au3AnheLEKLVHXBZpa43/5X75H0xT4+aeTe3xSxGQcdt2Iq+sO//jnFf7zPy/w6283M6g4Dmbuvh8e0/099vXHlZir9DcAwNjd+yv9jM3N2XxchWDQmphNq1WFH78/xo8/HGOcjsEYQ91oKCUf9LmU5UpMMjgVZpYwYwxVoVGXCm1doCn1e12vcyiGJ3/CvjPk09RN6DoC+HbZs3CXvk8s3l1imY2TTQyo7KlFzJN3ldiNia22WQ949nw9P+u/lGrqAj98f4wffjjGLz+fQkmB46Ma+CgGC19PSc5RKw0tJG7HAaOzeLrbQTCGo6qECxHLokCtFB41DQbrcNX3cD7MhtqC85k1TOwpibOawwbyY7ruBwqi4sRc0lJApXFx9nyOEQgg6acLASrydN3ymTHIGcOyKHFcERhVKjmnyGVQq5ASSnw4OERy/TiboQu+Z2B90UzXCLKOsCQ/l5KjrQtoJTFM1CQ8VHjE+HDCsw8DnpJMS3EFF9ydn5NfkIbg4p1ldl9bHU5elZaokiFyjBFVU6Co9nIegAY11pAxYpbWKCUfBFQ8jE3fD3tfGPi+5nNeNwB+48D4Fb961TNkHiC8sC6028Qnbc7TuhAY4cMWxv+BwfwPBDlA8AoqnoNDgOKoP916/RUro+lCACHwVwIld99PX30IGLzB6AxsSMaWHkACDCmdMXnMcdJqu+hho4eIHDIKqCjA4h6o8rP3C0lQBRcQnMMxDweHGA6Ng5F80QhkRxoU+xhho4MNNMiVjAwTD6+hEENK3qIV3jMB9w9lFzxsoLQtmdZj/3nUTXlV+RjgQk7qCsm/xoODkjlkpPsQ8R4jHDws6P0q0u9VEAiIM51YMUoLlBCwKTHTx5DYH8lnygcEl9IBuYDMsfKRgXvymrPBwQSXaNcUZpBjNJgAjHewkdJBFOjzFFLHC+Q199B1KEHo+wldT4Psm9sONzc9rq93ePpsg2fP1ri83M0SsXG0D+5p8RIDI33/qvI+0HkdaPDvnMduN+LsbIHjY+rQt22BJkmADtkHn2MwJDinZ2MViDXI2Sy18S75JbylTGLOeR9QVxqb7YBhNLDWz7Ka3NB565mSgWyh4WO9Nw/nGpprSCZmtu7blvHK5yN7/TPv1W9/9THJvi8uSxQ3A25ue9zc9jNDwfu3M55ESutSkhISyeNGQiYPm89dh0CC9xFdP81MmOubDjc3Ha6u9tfi9U03Mw+tffhErby8PTD65g9gjFh9IZIkcLMdcXpCrInj4wZtkg7XdXEH9PgSK0bAOo8pSRozI/ZFM/ZcxCyj7d5uSeJIkrfw0jbGSCmsWa58ebXF5eUOF5db/PHHLQGK1zsCVfsJxr4bqPq27UrfvfH+mo8lsQkjpODwPmAYLXa7Ebe3PU5OWqxWFVbLGlqLO42p960QUkKj34dpRBDwmkG/QpMU5nWVGUrjePeVWdPW+flnw5iZgiRHJeP2g58PhmSto8U4WJgEPt7nfvOmmtlXCeRN//tiijE2SzmNdTDOwgRH5IqU4i0ZMWtLcf/U9jdViAEmGJjkD6jz/PkjjHk+vGhsmE26BeMopEMhLHrr0FuLzlgwAK3WeNQ2sIGS6qbRwciUXqcUSdLUq2EImhkctGYOLi0tOBZlgdOKSA4uBGzGCUZ6GK9gVCCjcCnvWD3My2SHS757zYbEYPIhojMG18OAm2HAVdfjqutxMwwQnOF6GHDcDzDeQ3GO46pEbyx6azFYixAjJu/QTYYSibmYk+4KKaA+t8E4o6aTkmKW0prEQsxqj9yLeej6cOCJS2im4biDjRYxRBS8QCUqNCIntnz+gc2nKoqHp24IIgFRL06enfXod9RRUCk5Skrx2sHnh9aXZFn6ZawLTbsRPVzYwLjfMdj/L4AAJc5RSoPIFL3nW32yOmR4vIpFcFgeAZ0bcWN26NwIn+QzRKUV6b5EMs6CSzJG9BN6P0EygUpqlEJBHEhwJm8xBRpkVFyjEuTtkoWpPgaMwWLyFgEBtShQiQKa59tohAkOnZvQuREATWwroZPUh8oEh8lbjMHOoBMHgxYKBVfQXNK6uglTsCRBFQqV0KhlgVoUkK+ZWocYMAWL0RuMaXtGb6G4oPWV5MOUQan8vtEbVEKjFBql1AReBY+AiIWs0MoSmjOM3mDnBkzeJmkuyYhMcDDeJfmQRCEUVJq4C8YxeoudG9C5EYpL1EKjEkXqNtGe6R1t85DXRep7bfOH1CxTDBG36wHPn2/w7PkGzy82uLjY4PJyh91uxHY3oe8n8ruyn99I1fuAfjDwSTqx3Y744+kapycNHj1a4vGjFUkEHi2hc2rqZ5zoSslRlQpScCzaMvmplDTAB+CNe+syQogYJ4cYyfdlt6M0QWNckn+Kd95GxRVqWUMlsEmmQA2eQOuHqA955mWj5XEgqdk2pbeNg6EJ6j1N96UUqCuFqtZp/xeoK03eN18A8ATsr0VjHK6vO7oWLza4SNfj9U03+zeRYbjbD44/Y1nr0XUTnPOYjMV6PeC3P25xftbi0cF1+PjRElVFEtgvFXR6n6I0VocQYwKCKRyCAj8O2bd0jDfbMd1n13j6dI0/nq5xcbHFdke+Tl0/0cTnHSWkD1UxYj6v+n7C5SUoTGLd4/Jyh9//WOPJd0f4+acTCM7RtiWUQpLRf8BnBpK3WOvgQ8gOGRgmQ0CY8ygLhdWiRPGa5UyTxc1NaprcdLi5IYk4yesIqLaOpIo2Ja7OiY/Ow9qQ5Kkvv8f7z2ds/rmKxn3kV9s7h63bYed20LzAsV7NProfWuQ3OGLrdggxYCFbcCkgPjc4cVAkI49wgYzDTQgw3oOzgMk5jN6jt5Rgd6MH+BiwKAsUUuKy73DZkTF5rR1G51A7h0ZrUGosm03I73MNFULiuCrx/WqB3WRw2XW4GQZoIVArhUoptIVGiBqMAYpzBBHvxazLoFpO0bvsutmo/GYYcTMMYACWRYmFLmYQ6bxp8DRscdn3+H2zwc4Y3I4DLhMLrNIKjdJYlSUYKz478MRAksBCg2xIUnJoP5p5TEwWEZkx+nCf/f4eTziMEVZQUUEGCXCgEAUa2aBJxpl/JeCJMUb+JG+QOjjn0XcTbq86lLWmQWH7ukfJt3r4iuTnAA+fgKfe/HdwVqBU/4YQJ/BYAuwb8PSpi73Y2nhNhRjQ+RFXZoPraUdspuDBGAi8SYBPIws0osQULNa2x9p00FyiVRUWspwZRpwx9G5C50f0bsJKNViqGgsJuOjT8hOo5Ef4GLBSNZYqoBJ6llmN3uDG7HBtdiTDkBUWqoI8uAcSeDOicxMAzOtQywJNArNubYe17dG5EQtZpvWt6P7CJQq82hfGx4jJW+zcmICeCTs3ohQKS1UjoCGmSdpfnRvRuRG7g89pYgnjLaZAkwkGhlKQH9sYDNa2w86OM7MpRGKfDZ4SKxtZoJHlDD4pJrFzA67MFtfTFpXQWKoGK+X3gBxjWJsea9tha0csVInWl1ioCgxI4N79vHDepbIXiPcB63WPX3+7xn/85wV+//0Wv/1xg4uL7R1W1Jcy7vY+zNHxt7d9kuABx0cNfvjhGLe3A4xx0Frg9KSBUnnw8HkmvFmuWpbkNda2lBKWjdxTCvEbK4SYkgIt2nVPBtIp1Yoxlpo371aKKSihED8t6fbeRR5HBGxstmRi3/UT+aS8QynFUdWavIgW1czA+ZIqBDrGxjpc33T457+u8J//uMTvv9/gt99vsF4PSdoKvE3C+inLOY+do4j5m9t+Zus+frTEDz/ssF73cM6jKhXOz9p58vNnwZ4yWJh98XKYAt0vDxtIBFxstwN+/+MG/+d/XODX367xr1+v8fx5vs9+GceVJl0ExgyDwdU1NZQX7RptW+Lmlw6CMxwnf0rOGZR6/1TDiAiffcVckjUymgT3o0XXTzDO42hBsvcDVf2dGieL29sev/9xg99+u8Gvv9HXfdKqeelZ9iKYlCWN++//ukVeQgQ8ee9wY29xNV2jljU0V1jK5YMkdIUEPN3adUpA5ahEiS9J3hdjTqwjVr1NnkycMUzeY3IOvbHYTCPKQaLRCsuiQNEI9NbAeI+rvsfgFAalMGmNEAl0UoInj6R4r0ZNISWOqgrfLxd4tt3hedfhuifgadQEauWxazYqJxbh25cdY4TxAYO1WI8jLroev202uOp7bEeDzUTj9kVRoNUKp02N46rCcVXiuu/RG4PfN1vcDiMaTeboOZnvuKrAGFC9huX1KYsxpPALloIZIvrBYNdPc6PSJwuMh35WvffWU1Sww+QnjGFMKS4ERlHXfYL0EprrFDu8v4P9Gbo9ecAcfICzFINujIO7BzW42464udzh+mqL1VGDopA4OmkevJ//Je3nL2ldYrTwsYMPPVxYw8ceEQ4xBiBmsOkv/sT9DPUu50j20snMnTDfXxhC6lJRHHrA4CjOfEpy4ICIyRsgUZoLLlFwRRK44GGCSzI4zLry5A0MH0OSwFFkbKbuBuzXBWAQXMzso2gjgUugNA0b3GxEmCNWBWOwwWEdPLZuwOQdbKB7qo0evaPY2FIotPLtRpw0SIgzYCYZn81KbfQYvEHnRjAwVIKAoogIGzxuzC7J9YhBZoKFT5MCFzxGb4k5Fijpg+JhOSpBZo4ZeIoAjLfYhhEuehRc4VF5hFIo1KJALUsMzqDzBMJN3sIGB84I7CMgCyi5Qhseznw0p/qEELBeDySru+3x66/XNFD//ZbkHh11mr/kypMEn4wPhoGi5WlySzKtfjA4PWlxlPyRciLTp/TOOvycslA4WtV4/HgJKThcAtHuW1kKtOsmXF3vsGgpCl0pAfGuISZvVp9/UD3EvvWeJKDXNx2urrbY7aZ7jTFerEJLrJY1Hj9a4uioRlneL0nvY9Yh29A5j5vbHre3HS6vdvj11xv8+ts1/vjjFjc3fZILffnXYvZsA4Cum3B1tZt/b51H30+zT9lqWb1WUv61Vb4PORcwTRZdZyCy6biWlFCXEhn//o9L/CN55l1dkazuQ+VbH7PycXXOYxgNIiKeX2zxH3+/RATw/ZMjPHq0xKPzBYpCzp5F73J9MbBkLk5yWM5Jvs8Y3S8FJ/+VKn3/uvIpxGG3m4hBthux2Y0wU05Z9X95MOldihLQiAnLk41DRA5poh3po5+TTMniwKcgJmJ8S0amD/l8sMESkBX9nIbqo8fgRxhv4BFgk6RP+Gm2d+CMQTIFxeVnIXNM3uN6IB+m7WSwKkv83x8/ghQcrS7QFhqcMfgY8cd2i8dtO6fSPWpb+BCx0BpaSmhB5t4ZmJGclnFUUkDVMgE1tVJQabxSKYUnixbjo3PUSuG7tkWrNVxTY0pyt9mUXIrZ8LxRCrUmFpTkHCdNBRcChtrivKlRyrtjBpaAsFJJrMoS3y08BGc4a2oM1mGwFsuiwHnb4qxtyNdKK2ghcFJX+Pn4iBrEQqCQ5CXV5HS+ghL65BfCZPNJOmsd2ZXQvYsnT1cKL3HeH8yvHqY+CHZzwWEKEwY/0AOXATxSB3z0Y+qUl8kT5X5I5tdSMdJN3kwO02Cw3QzYrskM8W3V7Qh4urnawRqH1Unz4Af2W72+Aix82MGFG7iwRogDsufTt6Pw9VSm/kYkjyTwBM2Tp9MUHXpv5shzijAnb5kp+Q3VMoCDEfCUwCMXfeqWEBvJp79HTPrv6Ak4ijGBSQwh/S4gzqwkkz5j9CYlRZJPU4gRHiElQPIk8eEkv0tMI8FI6iPT5w9pO1pZJXDrbbWPfXUzIEby6ICI0RtsbI9WVjjSDY5Ug1vb4dZ0WNtu3q+ScZjg55QuFz3GxG5STEDGvZxRyyQHFAVqqTF4i50dcG22UFwmhliNgktKteQSk7fo3YTn4y0BWKD9kbfZR49W3Xeb71ezb47zuLjcponQ5ew1cnXdYRgMxundWCVfQhnjcLvuYf7/7P1Xn9xImuYL/k1BuQpFlczMqmoxM6d3f+fsXuz3v9oPsLsz0zPdXVVdKShCu4I0sRdmQAQzKSKYlN35ZnkFGXSHAwYYYPbYI3qbJoAdF5d7vv/uiD98f0JVZVMy4+cCHopCc3BQ8eTxCmc9u7q79zac9ex2HefnO+azIhpjfkHJSB+qvPfs9z0Xl/Ha3O1ahnuaiQPkueHgoOTx4yWHB1VKPfz85b2fmDIvXlzz73+74KefLjlL3j9X1/skp/yyfGDuUm07cHm1n1h6213L+fmOP3x/zB//cDIlv0Uc4esfG4cQ2V9tN7Dbd5gsLkoYo9hsG378+Yqffrrk58Rge/78OrFwvo777Mjs8i5wfh4ZWutNzfW6xjrHfJYjpMBokPJ+E0shkg+eVmQ6+veFEBemqtwgy5x5lVEV0a/vTVeLdT61f8suyXLrupvS/36fZtyvhBBoocikQUhxY81w6z3WO1rf0bqWzvf0rqfzfVzUTL6BMlkOgKC2NXsbU+ALlVOoAiHE9PloXRDBKSFEAqH6FIBRpfCuT98WnbVc7Gv+dr3Ges9BUfBoPqfQ0bi7MJqLfc2L3Y6X2x2l1jyYVRNINDOGb5aLG5NxGcGZTOm08BoXfgWCXEcfpOxWOlxlDN8sl1RZhpEyMY5iCluuNCdVlRZBU8CKigBXphVGSrSK96MHsxmVMQzOs8zzX7GPIgNLTYvCmVIclAW9dXEfnSefgC1Ddsuz6aiqUFJyXFVxDJ+umREMi4BbBKk+d01s8yF6O/nAFDA02EA3xCRLaxN7lQ/3lHp/xlOIjKfWtTSumZJhpJC44Oh9BGB6HydM//EqRV93A/tdx9X5jouzDbtN+85P7rctV5c7ri92SCl48u0R4Y5eDe+9tx/xifOmCcyn0oPf9/sj42nH4M6x/hofWkLw3CTxhZv/7nIM4vYfP29b3LfuxTK6wzG8urmP+HRMDBzPzcrTGHcuiNTlITia5BmkhWKepGQhhGQSGRlQuTTjJica8QggjTK824b9zkcgZ4xGl4jIhsLfUIeFwuLonKV2ka1kkn/T+ECLDNEbQGoXWrZDw/Wwj/uqCzKpk1l5fI0srnfV2PLj8TgZr2slIijXup51X1OpnLku+KY8YgiO827DVb+ffK9yqemDjawyIuNpBIsyqTEhAmgzmU9eUKXOqVSGZ88QHJf9jpWpeJSveFIc3vLEgkuxpbYdL9trZr86Zkfn4DDrsb/xGXL72vU+MAyOrhs4O9vw5z+f8v/97z9Oq8T3Yd98adUPjn7dsE6vi8s9z55f07YDZZnx5PHBBDrJZPANn5aRmifG0+NHqwgeXWzvvQ1ro9n2+cWWRZLunXzBrIn71O1r1fnIeLq43HN2vmO7a9+L+ZPnmoNVBPsODj8v8PTK8bnYF+u658WLNf/yr8/53//6kt0uTpy/FlDiddWmZKCrZIR+frHj55+vcM6zmBc8frQCQAj5H0YR4JynbS27XUtRGDKjCQE2m5affrrkf/7zs8lD7zYb7GuoCDw5ehxdb1lvGn76+ZKm6ZnPYxJalifZHere51TKNG7QPoEUcbG+zA1VmTGvcqryHYwnlxhnCXQaTfp/r/eryVJGGIRkSjmN/xYrsus7dnZP7RpqW1O7hkqVVLqiUuXkHSgQrIcN18OaxjXM9ZyFmaOFpvEtvY/3uxFsCoQ4x/YtRhi0UBQq5w7xGR+8Oms5rxv+dnXNMs95dHLMPx4fMcszjIrAy/86PePZdsvzzZaTqsKHMDGPHi3mE4BxG8gYx8PvqnE7T1fLV34/zzNOZjMgLUTf2vaYBHy7KmN4kN7/upIJbEIpSmM4LMs3vveXdVxVHFfVa4/zdfvyOWv0susHSz9YQggoGUHBkO513ZAYTx8Yn3h/jychMMJQqpLe95Fm6C0Ol1Kl5ARE/UdiOo0VAtje0dQ9Td3hvUcbRTnL0iqWnKLdf1lKS4bB0rU9eWFQ+lPeRAI+NDi/w/ktLuzT30e5mSOmTEiEkAgUUpTxJUu0XKLkEiVmjBkBb/ym0GH9NdZfRzlbGAjBpu0couUhIbRYv07Mo5YQenyID8oxcUCIDCkypMhRcoWWK5ScI4RGoHnTTTh+/wbnN+k4W3xosO6awZ8zuHNa+zcGdw54rL+g7v8ZACkrpCiQ4vWr6FLkZOobcv0NWr07OtiHPYO7xPpLQrgZTCu5RKtDtDzA+z3WbyYWVny1RG+EONmIx6yQokCrI4w8RsnF9Pt4Pm77V72gdy8JeJSYoeQsfqc8QMvVG9vu9eXo3RmDO8P6NeAIwce20I8w6hFazO+xvd9SIv3vZhiQAq3Gf0UhyJWZpGCj/E0KSSGiB9QoD4sgEmmQofHBU9sOlSYFIywpiCtggbjStRvaySy888MtGZ6fwBqIkwslRJS8wQReSSHIMRQqo/KWXttJliaEwOFjmp2OcsBC56/4Rb2pRjBOpTQ7AXQu+lxF6WEgkxobPJuh4Xl7xXaoccGTSz21pxKSLvlWNbbnut8nJtKtY+PmoSpllBSS2j9LRuIAG9vwc3MxGagbqSOdXMgEOBkErx5zJjWlutsxv7U9QmRXeB+4uNhxerbh9HTLX/92xvMX19Mk131AOc8I7kwvIV55JowSjnG/buLgP8z3W+dpm7hq+vLlmj//OfoIPnq45OR4zsnJYpLcfcoqcsNqVfK4X3FxsaMssslI965lnY+pWOdRandyPP+i5TrvW8569nXH5eWOi/Mtu2Rifdca5ZRlEdv8wYMlq2VF8RYPyo9d47XunE/9cMOLl2v++u/nvDzdst91d07ru2uNffCVPinExHC+fX8YJYAfsi8ONo4VAZ49v6YsM6zzPDhZcHIy5/AgToS+oHnJe5W9JfUSUrDfR5nojz9e8Oz5NaenGzabhq57d5jAm2q8pn99TuV0zm7LOKNB7odd/BvZAsMAm03Dzz9fMZ8XUXb3IMrubieJ3qV8SFLFwbJvOq63DU0XEwIRMX2qzM0Xu4j5n7VcsLQJeAoEKlUy13M8MeVyY7fTnHiU6i30nKVZUMiCUuWAoPc9tZD0vmdrd7jgyGVOpgylKihkQfYZw7qMUhwUOU+WCwTQDgM/XK/JdGQlaSW5bhoKrfnj0QEP5jNm2es9qkR64H9okH30Cx23/Tlvp1/SvryuhIgMp0wrrI4BNAEQUlCWBmMUy3lB+Q6W5fvUbxp9GBmBJxssO7ujCQ2978lkRi7yG+DpFmPgP0yFwDBY2qan3nc455PHRIyNNkYh3/DgUVLEqNq6Iy80Wn8q2UMAPN7X9O4lvX3G4M4TCHMRgR8i8CPQCKGRZAngOMKoYzL9lFyDVAUxTP3Nhoo+tPTuRQJ3LvChxvsarU4ozJ8otMD5a1r7A539IYFEW5zfMUEKQqHEDC3nKLki19+R6+/JhERSJDbKmxK+OgZ3Rmd/TGDJFUOS1zm/xrp1AsauCHgGd0HNPzO4U4QwCPFmUEvLBYv8/4WUBVodpt+++Rw6v6ezP9EM/4YP9fT7XD+l4E8oMcP6azr7I639McoA3SXWXxNwCRAMSBETEbQ8oDT/QGn+gVwoJAWIHIEkBEtgYHDn7Pv/wa77/wAWox6RqYdk+lsK/X0E7+4BPIVg6d1z6v6fae0PCUgc0HLJLP8/kaJCy08EPP3Cm0W8AkLFGk27R4aNIOrPtRQU0pCrjEwqtNC3QKUI1LgQqG3U10cpnJpWZ5RUkTXjHTvbIt1NIt4oyxOCV7ynJqmfVDgfPQBaP2C8Quq4P4PKGHRiW6XP+ODJVEYhDZUuKNW7InZveHtjGxgRj7/1A/Q1Q3D44DFK44JnM9QM3kZAyfvIAIvKQiTx2C67HUqICFy5HhscOqgJjpOJvaVGNlcC+yLwlDMEx3ZoqG1HpXJmOno89d6ipGRhylvnyGNSkl+lc0qVoe8pXfhlRXldTOy5vNzzl7+e86//9pKzs80kYRqjrD9ECREnu1pLlFJoLZORY3wmhGSOHCUQbpJCjKa8H6Kci54k1jpevFwDsK87/u5PD5BScHQ0n2Q+n3LCO7JvlBT8/OyKojDp+Xf3ib61jt2u5ew8Mp52++6DnbsvpeLk1rHf91xeRu+j/T0YT7cn6EWRsVpWPHywZLkoyPPPx3gapa597zg72/Jvfz7lz3855ex8y9n5NibEOffBgKebvhjHZ7FPxv44gRSBX/XDD9kX7eCo6RkGx7NnV3jn2W0b/uEfHmGMYrWsPqnn2seqyHiKssJ+sNOz4IefLnn2/JqXZxv6ztK/p4z59jV9+3yO99lf+obFe/4Idn448GkEnqLcruGnn6+i91xvMVpxcjznPmqakEIurIssg13Tc71tqNsY2GG0osh1TLL8wLKX3+u3lQ2O1sdEukqVzM2MlV6ytVvWw4a13aaxaWRPLfSchVkwU1XyeFLYYNm7GiUkNrgpPa9SJcf5MUu9ZKYrjNSfbS6dKcWqKHiymLPvBxprWa/XcZE3SeckIgJPh4c8nEdJ2y9r2vuPBMaMgM+X0D++pH35dUV2kzEKYzVKRpBMSkFlIti0mL2bZfk+9ZtS7bTQFKpgCAONayaJnRb6hvGUEN4YdR7/+49AKw7c0Fr7bpjS7JRSZIUhLwxav/5kCRFNYOtdS1Fm6N8Qw/ruvRzLJwDDYv2G3j6nGf5MZ3+id8/o7DP8xApqEcIgyRAiJ1OPyfRjcv1NYs5UKLlEYhAixgPfOrqbb0zAz/g9zq+xfkOunwKgxYLendEM/0bd/3OSvl1h3TVxMhQZVzqxnLQ6xocOIQxKViADAv2KM9Pt6ynQY/0lnf2Rzv5A717QuxcJeNrj/J6AZQTkIgi1oeWvvOuxrtVxBH+yf0yff/v7fajp3TPq4X9i3fqV30tRkalHDP6C1v5A3f8vBheZSr17SQgu7mfwiYlVYdSDtB+HmHAEKJTISGIwfBiw7pJm+Bc27f+bwECuv6fQ3xOwaLkgC0/f2HZTG96WKDEw2JfU/f9k3/93fAKejHqQgLC/f2sbfOgazbpHUOiXt3cpRuZl9J2zyb9JCUmpozRMCjFNdpWQmGQ0LoDOW4bgKFWWGJ4xxS2TOqXYhcl7Kfo5DYQQ0DICVaNHg0qfU+nlcLhk1O2TT5SRmkJmOB0NvWOSXhxkZlIz0wULU0UQ5o4rXlIItFTkUuOSTG7vRylwBLsCULtuMhoHKFX2iuA0DoTqGJedQKfb7T8el5IygX1ias8sAWY7G0GnxvXMdE7vZ4k15jFCsdDldH5c8GRqPOaSUufot4Jtr69X5XWevre07cDZxZZ///cz/vv/+Indvot+Tu8p6blt0v3Ln1qr+FA3CmPiYoTRihFg8SHEqOohRmgPt+Ksx/0fJ8bvs2LvXMA5G9kjPtC0AxeXO6SIaUzff3c8LZZ8ymlMnmuEKCkKw2pVUZZmYiuM7IR3lUuMJ+8Dq2WZ4uwjY2W8jX2tYwtgYtwM1lPvuxiPfrlnGNydGU9CiClNsCwNq2XJg5MFWabfODb5WPWqvM7TdZam6Xn5csOf/3LKf/8fP9O0ffJzuj8bJp7q1/VFgRSgUx/MjEp/jn1xBJ2i/DaaL4/x8cOQwK9wAxS/b/LaCGq3DAQC+zoa42e54eR4wZPHq9QPY8rQ11rWepq2Z7NpEFKke5vjx58uefFifWd53e3zePu8jiwnreXNPfXWa5SPxKTMaI47puxFw1z/i/vq+7HabrOqtts2+lXVPVorjo/mDIO7ZTJ+py3G0AsfPVearme7b9k3PZnRFLlhVkbZy7ueAyIxa6VKXjoqyvZ+c4VXt/JbGYGvntvfuG8fsJQUr6pWRFrOC7csOLixebApyKa2NbnMyGXOYXbAEAYuh2t2djc1nBKaWZLfHeeHjKPWznVkQiOROO/ofBdfumdlluQqo1TFZyVwjMCTEHC2q3mx3XK63WG9T3I5OJnNeDSf8XA+Z1XkvwKebj+TPwroJF6VQX6u+tjH+SFqXJAxQmG0R6XrXStJVWbMyoxZlUfG0z3DEt5VvynVbgSaeh9R+VKVGGEoVEGZdK2taznvzqffVapCi88fJfhbSwhBXhiWqwpj1DTIUVKgM42eBvSvL2ejgeDyoKKaFx99kByBj7PEAPqJzv5AO/wNF/aAIFMPgUAQiS+RUkoABArnN7RDRwgeHxoGf0GmHpGpx2h1cIc9cPjQ4f2O3r5AUhBChw8t1l0ihMKoQ7RcEtRTQjL7Bp+AF8fgzmjtXwhYrL+m0H+k0H9AJqrqL0tgUHKBUQ8BUHKBVicRYHJJAug3UXYYtii5xMgjtDqaGF/iDV1EyQWF+RNKLF/73e84GxOLaXDnNMO/EYhA0eBOCaFPYNQTtDqKbKfUBiOfZZLNiRIhilsAoEhMtYCUM7Q8wKiHOL8mhIHenaLdCbnfEnDcBTSLoJeNUsCwTcDdDikrtFyS6ycotUJ8hLj7N5USkrkpeRhWzHXx2pWF0acoejDdpM5l0iSZXUp2ShOLQhlm3tKbYQLJR6NwI6MBYukyZn6YEt9E2rb1juFWEp5KKXJRkuYnOV5jOwKQK0OhYkJJ5y3n3QYtFKXKWZhqiq0NIVCqjEJllDqnUBnqLewfJSSFMoRQRraRH+h1ecOi+sV9ZtKip38fB0Kx59+CJQN4YqJf7y2BCIhlMh7HTBdUKscInQw4QcvoqxUICWyy9M6ST6l2OVY5ZqFg8PaVhMLx/JSJ7aV+A708Rni3vDzd8PLlmr/89YyXpxvquqd/T0mPlII8NxS5pigzqjKjqjKKwpBnmjzX08RIazWxLCbGUxq037ArIgOkHyxDHw16u87Stj27ffTraJrh1gTqviBUNHAWwNnFlp9+umS5KDg4mHGwKlmtqnu3wftWBOUkoKmqyMQ5PprRtgNNezfgYfTpasXAvu6jP9e2YVZlE9D3JU1m7lMhBLoutsXV1Z7trqVtewY7xtTfbTvGKKoqZ1ZlrA4qqiqbrsPPBcqFELhe17x8meR1fzvj/HxH0w4MfYqRv2dpLclzQ55rytt9Mf0uy24ACq3VxDxUKsqeRwDCOT8xnkbAYjTpbxNQtk99seuH9zZsttbTNANSNJyebvjhxwvyXMe0u1X5VZvkR0+rmp+fRQZQ11v63nJxsWN/hxCBKP9QzKp4Dssy3lPHc5nnmizXGB3PpbrFJB3vrb9kPA1DOo/pXNZ1n14dTTvQNP1vkv6N5xPRcHW15+x8y4uXa5bLcroW311RKqiVIjOKPIFN1sV5gg8e68J0339T782MYjbLOTqaMQwOEGijPgjuFMGxkO5Plrru2dfdvZ9FkaEWgd+8iMdpvoB4+bGqKuPRoyUnJ3MWixydCwZ6rGupbUPt6mTFEP88ejHplIy8tzXn/QU7u4/jTZEhpJhY79Zbroc11g8YaTDSpNTlGKaipGQmK+bMKFQBRF8o610yI89Rn8HjSYmY9BbICQGMkiyKPAXxROBpkees8pxlUVAajb6n3PT3+rQ1jgOMkcxnxUSoybJ4D8pzQ6bVBx8v/LZUu2Aj8OR6hIgJdkIJcpmTqxyJpPUtG7shExlH2RGZyFDqxqDta60IPMWJa1ll02qMSFrztw3uRjQ9KwxllTGb5x89Ttf5mt7+RN3/bzr7A517QW+fI0SGSeCElGXyU8ojSBQ6vG9T+ts1Puxwocb6CJBU2T9FeZVa8U7wInh86HB+l7yculuStshsUvIIKUqUqPAMhNATQs/gzyYj8DDY6NFkzyAPGHmIUSfpW17dByE0Si7J9COkLDD+hCzUWHdFL8/idu1Lel7g3C6BKH+gNH+X/J1yhMhfezxSlBT6T2i5eO13v7Ut8IRg8aGnd2eEMGDdOZ4e71t86KIPljhEiiKCcIn1FL25duk8VelVIIVmlD4KFAiBFDOUPMDoBwTrY5qfe4lxD3BhFyV5wqfPvWX/g43nLuxxfpsAu20C9Y7J9BO0PECIuwywPkwpIVnoEiMUQ+Zu7f2v/ySEYIy/9SEkQ+8Uc5uAJxgT7WJ07Qg6xcHCTZqJ06+m3o193IfwSojCbTPyAKyHPWftmnW/R0vFTEUj7j7E1Lv1UHOcL1iqkqN8ceMrFQIm7eu4z28DYaSQ5NKgjKIMGdbH45n2Kf7v1yuXU3vdrNCO4NOIQ4/7NB7nKGXUiSlmpEry6thuJhm6Ry+p5H3lPVpG+Z9O3lruFsg2HrOWKjLMbh37+9QI8Gx3LT/9fMm//OtLnj274uXZ5ibt5z0mu5FFkrFcFhysKk6O5xwfzVmlieN8npNnkfWqjbrxeHqFkRkI/mblvOsj2NS1A5sUP369rjk723J6viGEmFYXB/r3G+yP3ivWOs7Pt/z40yXGKL779git5ScFnqSM9xspBbMqY7kqOTqasdk006T/XRVCBJ58Mt/e7Vq225bFvKCqcrQe/e6+vvIhJqJtNg2XCXhq2iFFod8x8AIwRrOY5xwezThYVZRVhk5eDp8DeBr3/fq65m8/nPMv//qSFy/XnF9saZs+RTvff4astaKqMpaLkqPDGcfHc46PZiwXJfN5znxe3IBORt6EO9zui2nffAg4F2L8fAKbNtuWzTaCCqdnW07PNrAFsNNE/D41nsfR42qexn/ffXtEnumvGnjqkpk6BKzzdG1sx7rpad6R+DyymoyRLBYFx8dzjg5nrFYVq2U5hQjMZwVZpiZG0TTuTp5dIcQHlvMB7/xk0F/XfUr53HFxseP8YsfV1X5iw74ve8faKGkerOPyasfZ2ZYXL9Y4F4NG7gI8TXJQJcm0Js80RWboh8jQ9j6Gmrwr/doYzXxWcHQ4hxDB57I0HwR48omR6lxgu41m+W034P39Eid1kg3G52fJallSVa8fZ3+OygvDydGc4+M5i2WByqGnp3UNtWvY2wavAnsX0+lsiAtxRmo8nr3bY7toDu69I5NZ8neKwNMQLNf9NVuxSwbkJQIRgSc8SihKVVKqIpqaC8Fm2DL4gRVLMmneYbfwcUrJKKPTUpJrzbLIeWjn0/KkQEwpcnlKo/utFgm/18etkXVotGIxy8mzaCMyAvkqeXe9ya/6fes3AU8++Oi+H2LUYy5ztNARxRVmYkSth/XEhFqEBVnI0gTo6xwYQjxhcVU70rXHBx/c0OR9egC+MjAJYDJNOYttkOWGLDcfZSAYv9YT8LiwpbM/Uff/k879lPyN1hh1gpQlmf5mMu1Wcp6kaDus3xKsveUD1U++SErOydVTfHhyA3q88TgcIXTRZNwPOL+jF2cJOHqQXsdodYyRRwn4imbgYfDJoLzBu57BXWDdJUY9oDT/QAgWIRS/9JuKwNMc8Cg5j0BLsAzqAmXnSJdDcLiwRTiJEgty/ZQq+yeUmCVZ2+sTDaQwaHmYfJLuz3jyoY/H5hMLTLycgC6ZPJyMOkHLIxiJvWGIx+4v0grLMgFP+QQexfbXRN11iVYHZOoR3jfR58pdMLgLnN/iQ4sMBQj1RmZXhMkGXKiT/1by4Qo1QpgIPKknaLlCioxPNdlTQlLpyJq5S43A01iTJfkvJx/cSqHgNZMTuPWgff174GacN/6LEpLt0OAJSCEplWGVVWyHhsb11K7jiAWlzjnOFmkbr+7vXe4RSsQHRv6L45m28dpjvqnX/fvt43nde95UI2BUkd+r/W+/57fcF0fPDGc91+u4Cv8v//qCi8sd222czN+nbqRLgrLMODyoOD6e8+DBgiePD3jyaMXx8XxiEBWFnvyd3nUc4ypy1w0xhv1yHycx5zvyXE9o4b7uESKaL49myHdti8jigMvLPXkeZZZaK5bLkkcPlzfSpI+8CDJOFkFSljmrZcnJ8QLvQ2QO7N/NjLjNFqubyApbbxoWixKlJEVh7uWx8iVV8IG2HVhvGi7Ttdp1w72ZeVmmWCyivO7goKKq8leYIZ+yxnMVPdZ2/PjTJf/7X56z3bXsti3dPeV1Ut7ICOfzONE+Pp7x6OGKx49WPHm8SqBFyeqgSgyZu7G9vPdTX9zvey6vdlxe7jk922AyTQgBKSV13bHfMwGgd+2LY1sMveP8fEeWJGJZpjk4qDg8rG4WMr8y2l7fW9abmq63MUCni/LmN8mybksiIzgomVU5JycLnjw54PHDJcfHc06O5xweziagIsv0K5LK19VtKd1u17LddVEW9+Ka5/Nr8jwuDNz4/0Xm6X3BT+/He7fl+rrh7GLH8xfrCIiWBnhzgtbtkhF9QqvEfEqsICEiiOacJ/h4PG86ZmMU83lkPGkTF0cWi7uncr39OD3OeqxznJ8bus4mkPHuJURkPBWFYT6P4OLDB8tPuvDxrsoyNV1n82VGliuccAw+Br+Mi2XW24ntJIWkkPnNnDipgISQlKpApgVDgaD1HY1rE7s7gnZGxkAbiSSXOQs9Y2kWSCT7lJQXCJSqfCf4+LEq+jjFseXdrujf60uuSZYoQEqV7lefhjzwm4CnkFa/nXfjLAwvYsebWAYhUKmKTEZT3MEPdKJLpmqfzyjtg5QQCAlifBAIgRsc223DbtPQNj128NjB3fKuCLhE/7WDY3lYITigmuV8aHA4EOVRLtT09vnkGeRDh1ZHZPopmX5CkQy7I9iSI0VxA/z4FinLxESaTx5Qgzunt+f0+hTtjlGiQsoKweuBgMkzJrgECC3Q8pBMf5O+/7uYlifnKDEnJuwlo3MxGp3nWL9NwMcOlxLgrF8jZYEUZQJgxorpb4hoyh2Cn+RqTu5Rfp1Am2Q+nbyjtDxI+xHBp9dVZGjN3kteFtlONdavY7upcvKwMvIYo04SALhIbeEZwSejHiTz9UCuv0+MK3HrdXsfM7Q8iOCgb3BhT3A+fre7YnAvGUE5Jea/+vx45ryvse6c3j5LzLd4TrRcJMPyCFpGud+XW6Ms7u33nPiuNwFoNwryd23n1S3kynCULW5S9ZRJ4FmBloqljkynSuW3Pn+X/X173Qjn3ryVm3e8/Vh+q6HpXY7nQxzzWG03sL6uuV7X/PjjJaenW9brhrrukwzhbjUmJuW55uhwxtHRLP2MK/KHhzdytfk8pyozskwlZuvdj0MpOUkOVqsSpSVFmTGb5Tw4Wd5aqd9ydVWz20emz32OBSKb5upqT/Ahye0qDg5mlIWhKKOs5VNVWRoOD2c8fryi7y2bTXPvbdjBsd22nJ1tKctsYkx8jsjpD1E+BOqmT2DHls32/ucYIpCxWpY8fhhBmLIwn01+WNc91+vYF3/6+Yqzsy3bbZtYeHcH1MY+VVXZK31w7JO3paOzWeyLJplQ3x3EEVNfrCrwYYYxkaExnxc8ericGDMX5zvWm4bdrmWXQmbuWoFA3XScX+wQQrBalhwezqiqPPbFwpBlX44E6S7lXEjXaj8BjW/zAspMlM6VhXnlXI5g08FBxXxesJgXyW/ETOfybqdTIERI5zIa54YQKArD4WHFgwcLHj3ccn6x5eJiNy1K3AdIvF1tYnz9/OyKsjQcHFQJKHr3Z31iwQ3OYZ2LP63DaokZk0/fsUtZplgkxtxslnN4MLyTaXbX8i4w2OiDprXiel2/F4httKIoMhaLgocPlnz37REPHize/cFPVFpHllhZZBSVJislmREYIRP4U2CEZmWWLPScABQyp9fVrxbPxnGXQE5M8MEPDGHAh5CkcwVKKDKZUekK0neUKjKhYohXgRaaUpW/yXbg9/q9voR6f4+nUbqSIiPHciEmNtkQEy0KWVDpilzGlLshDEgfO476WpckU4nE2gqjt4wA6xzb65qXz69ZX+5pm56uHbCDn4A4wg2b4dE3h1SznOOHyw++fyFYXNgxuIvJWLt3LxFCk+mnlPrvUkrcUzL9NIEwCiHU5KsUgkXKAiUKpCySP9SPDG7D4M7o3SnGPSDII4zI4A3StNGvCRyj91KmHlHoP1Bm/4XK/CNSVAlkMsnIL+7D6LUkMbT2hyT52uPCFuevcWENIUQQ6Bb4IRLwJKSGZAUYG9/h5Bor5iklboyPN0gxQ6sDlFhM7K/Xl0jm6vfvQjfA0zVCjjLDZUy4038g139EiizJEA03o7aQJIgD0edpkRhXr5fKSZFh5CFOP8X5Lb17AXic32P9VbwW0PH71ZuOM+DCnsGf07kIPIXQxc+IJZl6RK4j4+lTejy9b90NLPpQ77mpQhqO8jmFMmmlK9LmZ0qzNHEwMXo53Wd/71J32cZdvuVDzFnvti8fZnbctgPnFzt++vmKH3684PR0w3pT0zbDvRLQpJQYHQ0Xnzw+4E9/OuHpN4ccHlYcHsyYzwvyLHmPmDHB7v6SJqUEQiTfEh39eQ4OKh6cLCIDZt3w40+X/PTTJc+KGE3ed8O9QYmmHfBXe/b7jtWq4ijJCg5WFVKJTwo8jRPAx49WbDYNL083997GYD3bXcvp2YbZLGcxL3DvMWn8Uir4QF33XF7uODvbsN029O8BPOWZZrUqefQoAU/lp2Ok/rL2dc/p6Yaffr6KwNN5BNTGJLm71MgCMlqxmJd8+/SIP/3phMcPVxwmALgqM7I8SpVGLxmt5b36YvQZiuCG0jH1Zz7LOTyoePhwSdsOXFxE1tZomi0ENG2Pu8dpCiECctZGqddBkgkuFwWrVYXW8qsDniKz0k0+dN6/GXQSIoKj81nOwariD3844Q/fH/PNkwMWi5LlsojA4S3zcKVGEPFu+zNKSaI0T0QJW2E4OpzRtCseXe65uNpzerrhL389i7K5Jp6T9wl0aNuBy6s9UggOVhXffHN4p8+FZHBvfWReDdZPhvSRIRcVFO/aH5Np5ovoP+usi9u4B7D7thpl0F0ffRGfPb9+D+Aphm4UhWExj2zM7787unM7fYoaJY/RQ0wgtUBpQUH0VzrKDpBIMpmRqWzyv/RhtBt/DbP71qhxHP8FQgyekRqJwKkyWg4Q0MmKAARlKHBpwdKk4K7f6/f6mus3P9VG3xCI0rtoQBuphlJIMpFN8jshxARMeb7u6ONpECNeHcqFJGmody2bdU2z72nrjqF3k5fHJF8JUFY5bTPcgFK/3P5vqGjCvU0A0cspNS4yaw4ps38k198nk/BHrwVRIktoPFcC53d0/ID1G6y/YnDnDO4cIQw6vH3VYmQcRbbMKiXlfRdNws3fJ6nWaz4ThgiEBYf1GwQ/4UMbAZSwxfotggylXiWARu+oDH6xXS/rxNAqki+RSkenkCJHiRl6ZBzJD78SE1PnWrzfEeQKKUuMOiFT35DrP1Kaf/wg5z8yuFbkasCqywSiSTwd1l9Hk3dRxITAN5gAhMR4igy351F6iU+fW2DkCUaeJMbZlztIvkt7vus9v2UbRmoWQjLTBb0baFxP63pyZShVTqmyaUXsQ8krPtUxf6p9uUvdeLXESd3Z+Za//XDBz8+uOL/cTelnd6lIQZaUhaGqMo6P5nz77SH/8HcP+f77Y1bLUVL324GaG5lbfCjnacJ5O4Fpv+/Ic4NJPj3eR2bMYH3yMrmb0fGYNLWj4+x8y8uXG44OZxAiEBRuYdAfmyFT5IaDVcUwOF6erikSK+c+8z1rI+Pp/HzHclny4MECn6LOx/rSJUu/TH3b15HxNDKD7D2Ap3Gynecxye7hgyi1+9SMp9vjnd0umvv/9d/PePb8mqur/b2YGKNEp6oyqjLn0cM4Yf3Hv3/EkycHU1805rcvZkZJrUApMChIQOzYF70PHB/NYzpgYmDZlLIIXUqTvNs9ZpRo9b3l7GzDi5dzFosYNlNVGeWtfvCFX8IAybsqvBWAG/2MlIqysOOjOY8eLfnjH475x394zHffHkVD8cL8pvN5u8/rZEYOkQkE4LyfgPeDVcmQ1Ar7fTQdj2y8+wFPfW/ZrBucdTx5sqLed1jrJiDzbQzYsb+MXk6/lMHfpUyS5/Fh1HWvlLWONklQr672VGV2b1n2COpmWQqWWJWcnCz45snBh9/hj1Az3i4JfN0Zu72QdmNd8OEsBX6v3+trq/eeKQoh0EKTyzzpTpOJbWDye0JEBtTO7rDeMtdzCl2Qyezrl9m9oZRRLA8qnDtivqwYesvQW5xNDxMfaJue7SbK8WL63cdphxCSl5I7S74+UcYQQYNoKG7kEVJUvHklVKT3r6IHk1wgyYg+RQ3Or7HuEi1XBHU3nwYhcrQ8JNffkqlH7/RJkiJDyRlaraKcT2jirdtOksDAcAsg+3pKiQojH1CYP01t8aEqShpnQMCoo+ThFcE566Pnl5IzTPKRen0lxpM7p3cvCKFFihIpl9HXSUZ5ZpQr/r4S86YSJA+HENPeCrLJ5NxIlfzh/uPdDz91jV5Gw+BYJ2Pun59Fac9+f/cEntGHKM8Njx+v+ObJAU+/OeTbbw959GjFcllSlNkniT6fDCCN4vCwwvsjtLnx6ilyw3bXsn0P2d1u1/Ly5Zo8eaYsFgUnx59O9pDlmsWiwPvAcllSlnGy6dyrizRvK2sdu33L+cWWg4OKet9jU9rY1zSeH493GBz1vuN6XXN5tWdfdwz2buf1tvdRVUV/l8PDKhkyf9qFAZt8jIbBcnW9nxhPl5d76nuATkpFqet8nvPNkwO+eXI49cUHD5YsFgV5YT66N9lYUgqKwnBysoiAmFEoGfvi6Mm13bX3kmp5H1hvGp49u56M0A8OKlYfngj/2StLqZ9VmfPdt0d8990R3z09isy8o9kEOH3sybhAJDP3HOfnfPv0kL4bMEZxerrh9HTLdtfea5vOedpuIBBi0ma6L8fkNnWnPiiEwChJnhlK6ymymJRqJo+y9z3i3+tLqQ9pKfB7/V5fW/2mkYgWmlzllKGMDv5plUcLjRgjQIOltS1WWoqkUx39nv4jdjqtI/CUFxn2YUw98Yl2PK6YXV/uePHTFc66lHj0cSbsMQVty+BOGdw5PtRABJ60XJGpR2h1lJhGb0vKytFyiVcnKDFPXj4BH1qsXzP4K0x4SAh3A56kKNDqiFx/i9EPk7/Qm75fJGneDCVXKFEh0MkvyhKSAbkPw/2Wyb+QkqLEqAcU+u/Q8ii1xYcpgY4+VSpDq2OUXCHFLF0XGzr3M9pFADA+BF9XARfqSa4JASkLtDyIkkQ5Q4iC0Vz+93pzjQl5JnmIZDJO9uOd8D/evfBz1CgHqJvoKXN2vuXnn6+4vNrTdcOdpRNSisnr4cnjFf/Hf3vC3/3pYfJDqpjPPq1RsxAxsejocBZZH1WGILKepBSIUxGTle4LPO07XrxcM1jHYlF88pXnPNOIRTmZnJdJWiOET+lf796GtZ7dLoKKR0dz9nWHsyPj6a5eMJ+/RrbIMDj2dcf1dQSe+t7eS46mdZzgzqroo3J4MGM2yyfGx6cqZ32Mr296rq5qXp5u+OmnS5p2oOvuZuw/sg61jnHP3z494p/+2zd89+3R1BeLwqA/QuTzm/YHIjPw5HjOYp6TJ0aU8x6tJCFw75h57z2bTcOz51cEAgerim+ffjnyow9Zxmhmsygj/vbbQ/7rf3nM3/3pIbMq+tkVhUaI+/njvU8JEYFvpeL11XfDJP8TCDab9v7Ak/V0YYi+c7s2en9t2xhAJHKyO3j3jn24yDTeefJck2dRaqjV7yOF/yj1+5n8vf6z1vsznhBoqSlkgVd+ApKstylSOxqxNa7BOx8nWEJhpEG/QafqxxSmEBi8p/eW/hec3UJpchWju0fSog9MkdwAWkT3/c9hwiZl1FdnuZn8nODVhA2A9eU+Ak4TpfbDgyYhuMlLyPp1TFELAYLHhw7nt5O/0RvZFiHgQ43ze7zf40OXvJ8CPvQp/W6L9y2Bu016hDDJmPoBRh4iZfHm7ycyd6QoIugkMkSKEo2StYEQegj2K2M8CUBOII5JbCf5AQ26hZAIkQMRONRyhZGHWL/Bh4bBvmBQj3F+F0G8yStKMKYhxnO8Y/CXDO4imqDLFZl6mJLsyg+6z/9Ra0qQiH9B/Q7SfZSySaZ0fb3n/DyacV9eRRbCXXHpmFhqmFUZR0czvnlywB++P+FPfzwhz3+7BOQ+9apcRKB1zmyWY4yibQf6wU5g2/W6puvsvbxJRqPxvrd89+1RNHzuhvj8VOKjA2s6GT9rJVmMJsKzPCZh+UB/h6hu53ySxTg2m4ZdkspUvUs+P19HX7M2pqnt9x27fZcmrt0kwblL6ZToN5tFttN8nqfJ/Ke/Rw9p8n19XXNxsY3m+Jf7W0Er7y4pb47nwYMFT7854I9/POHbp4dTX/x04O9NXxw9hxaLgkDsR2O63ejz4/2b09x+Wd4H6n0fgWQhuPouerB13TAB3F+7HGdMoJsl2fLjxyu+fXrE998d8923h0gppyCHT7M/YpKmKS05OV7EfRCC9brh+Ytrrtd18qq62zXrQ8DbgMXTpLTNzbZFKklm3j7dGuXWWknK3LCcFTHZLlNkRlMVGUbrDx5t/nt9uHqnh+hn7sMhBFx6nvgQ7zXyVjqk+AL20d+SnEJUCgiZYqO+kH18U/kkk3UhMDjPYB3Oe3KjybUm+8SLP19q/TbgSWgKVcSUplBQqWpKbRqphKODvxGGhV5MXk+vqxhF6Rm846Ldc9buOWv2jIpYKQTfVEu+mS15UMwToyoweEc99Oxtjw+BZVawNDnqMww4Q0jRrIOLTKckr5u8Onxgv2vZ7zr2u5aizLCDm97zYTtUBA68r/GhTqCRZfDn7Pv/HyF0t1LbXn/LDEAIXdxOqGmGv2DdFaNZeMAmmZvjzXKtV0sgESKLKXS3UuXe9olopqVuGWmH6RWC/yjA3ccrMZm4CzRSGKTIkGjERwIkhMjR6pBMPwWncH6L9VdYf4XzG3yI/UwIExllYUiMti3Ob3B+hw8NQpyg1TGZeoqWh6/15fq9fq/PVX1nubyMhuLPnl+zXteTUexdSyRj2CdPVjz95pCnTw85vMWs+FSSnreV0YrDw9lk4ruve84vd5PMMKZJvXs7LoEdQgg2m4ar6z2XFzvKKqMqs48+qR9lhFIKyjLj8LDi4YMl19c1zoU7mWqHcOOp07YD223L5eUeo1Vkh80y1Bc6UB0rhGj6vkksve2moe/tr7wf31UmUywXMab86CgmpH2uQXrT9Jyf7/jp50tevNxMzI/79EWjFcfHc548XvH9d8eTn1OeG7T+MmRHRR7ZT6Sx327Xcna+BaIM9C4sxBDie7tOsK971puGy8s9R4f7qS9+bUbjt2v0zZJScnw8509/POHv/vSQp08PWS5KpJQT8PI5SgpBURoOfEXX2an/jMmLTTvcK7EQIpDc1D2bTRM9jd4SVT76XhkdQaeDZYnRiiH5Q2klyTPNrDSTrPP3+r3uWwFoB0vTD/TWkWlFrhWZinJhJT//PdV5T90PNP1ACEz7qJVCS/FFX/+983SDpbUDF7uGy13Npu14erDkm8MlDxazd2/kP0H9pieZkWbyc/L4V5g7I4wxuv1LISeTcfmGybULgc5ZWjfwotnyb+sL/m1zPg28lBD834+eUOmMB8U8oore0dqBq77hsq1jYgCBQmmKz5CyFUKMd+67gaF3eB9TKYK/ZRK7bal38TWbFwyDfSX948N1/GjM7UKD900EnsKQZHcdnf0boN5J+AyJ/UKwKU1ul451NP4eILGg7lICicAktkx+i3X15k/Ez8hfNM4IOnlugKgvv6Ihv5wS/EQCnt7dDu9fY8Jdrp8SEttt8NdYd4X1G5yvETLJX4XG0+PCfmLLOb/FhxZJhpEn5PopWh4g35hi+Hv9Xp++ut5yebnnhx8vePbsivWmwd0z1UdKwcFByfffHfMPf/+QJ48PODisyHMzeT997jJGTWBYAC4ud/z8rGS/74DIArqTP1JaHPHes922XF3tubjYceCrFHv98Z+h46SrKjMOD2Y8fLCcwLTxeN5W0fA5Hm/bDux2LZdXO4pCI5WgLM0XrwKO+34jD91sW7rO3jvSPTOa5bLk0YNllGW+hwHwh6qmjeb+//7v57x4sWab2Fv3KW0kJ0dz/u6PD/jTH0948uSA5bIkz/VnBSpuV55rjo/nzGY5XW85O98ym18yWDd5dt2lrPO4dmC/79hsGi6v9lxe7TkMgSzTfM1LPKP3mNaKo6MZf/zDA/5v//SUxbxgvsgT8PR5968sMoxWOO85Pp5xdDjj6roGAf3g7g08DYOjbiKIWM0yBvt2x2+V2FZKyZjcWOV4HxApkVGltLUveeL9e33ZFUKgHSzXdUvdD8xzwyzPIAMDiVn0ee+pzgfqfuBqHxU6szwj5Bk5KQBKfrluqINz7PueTdPxw8U1/35xxcv1jvbbx8zy7HfgKdVvMhdXKJT4cNSx1lmu+4bLruZlveWi3bPuGrokufMEHldLGveqP4ANnm3f8rzZ0DtHrjRH+dvTBz5WBR8YektT93SJ/u9S6tAIPLV1ZGZluUkac/VRHroRCHS3wCEPYpSoNVgfuPeIXCiUWCGFSWbjo89PjrirtDGBLhFsMQjefg3diJRuv0aYKfA1gU5ASkK8xXoSevrzB/+iVHIydH+K85vJKNyFLdavsf4CAC0lShR432HdmsGd4VyU5hF8SuA7JlOPUXIVUwN/r9eWS4EL1vs4oBQySZJv6lNNnFzwOO+w4WZf9C+uty9hEvc+dTs9q216rq5rXrxYc3q2ZbfrJsr2u2qcHBWF4fBgFlkW3x6xOqgmeduXUkpJyjIjzw1N3XN8FFfo6zoCNX1/N9Bi9BUak8cuLve8PF0jlWBWfXxQeZKgipHxNOPRwyV1E1Pd7lrjs7XrLZttw8XFjqrMKIqYmvelVwCaZuDquubsbMNmGxlP9y1jFMtFycOHS46O5tEL7A0AzZuujt9yFxj7ofeB/b7n8nLHs+fXXFzuqOvuzmynKC+L1+DR0Yxvvjng6dNDDlYVZZl9cr+qt5XWitlMUpaG4+M5x8czjo/mU7+K3nLv3k7sr/H9m23L+fmW1bKM/lbz4qMklX2qyjJFVWZUs5wHJwseP1ry5PEqpc19fD+nd5UQYpJPzgfHalVxfDzn6rrGWU9d9/R398MHIoOtaSLjaUzNe9v3T+zPEJJXWJqeiS93ov17fV0VAtRdz+W+Zl23DLNyMrOXQqDD5wc1rfPs2o6z7R4fAkfeT2wsJSX6C04N8T7QW0c7DFw3DS/XO366XPP0cEkz3M3X8D9DfVHc3d3Q8ePumr9sL2nsgBSCb+cHXLY1F92ezdAxeDd5OUkhMMnLaW8HXtRbdkPPYV7yrVt9lmPwPtB3NrGaOoYhpdqNqyUBht5SVRmPvz3k+MGS+bKcwKcP358SKCMEIqiYECdmGPWITD1EvKdUSgiNkcdodUSmHqV0vLtOVERiL92Wzv1nqujv9FZvrQ/9jSPwpAYGdYmSke3mQ4f1l3T2J4IOSGFQLJM32AW9fYb1a0JwCJGjxAKjTjDqIVouk9H87/W6st6xtw1716KFYqYLKlV8Fu+5wVv2tmVvGzJp4r7o4rOvbn2I8j6yCgbr2O071puay8s963VN0/Z3Zo1kmaYsDYt5wdHRjKOjOYdHkTVivqCJ7lgxnjsa5B4cVDx5fBBZtgH2++7OhtRAMkTuOT/fMp/l5IXh8PDTrc4JAWVpODqcUdc9l1d7suz+bT4Mlu225fRsw2yWs1yW92YNfZYKgabpubrac3q2YbN5P+ApyxLj6eGS48R4+pSAsvfRFH4YHLtdy/W65uJyx2bT0N3xeGKapJ6AyKOjCOQcHMw+ifzzvjU2r5SSssg4Opzz9JvDBOq65C9392vQ+QgCn55tpiCBT5k0+TGqqnIePljw8MGSx49WLJYlJgXrfG7Q6ZelpGA+yzk5XrDZRKnd1XV97+1Y66ibgfWmoW567B2TKYHJgwfSfV58PSEJv9eXWz4Edl3Py/VuAnZyo6kyg1b3k0F/rLLecV23PLveRMYfUGWGwiiMl/AOosLv9eXXFwU8bYeOH/dr/vvlC+Ym4zif8e1sjg+B9dDQOcvg3XRDViJRU6Vkb3ue11uu+4bv5iu6O5iSfozy3tN3A/tdy+a6oU8JLmPinxACbRRllXNwPGd1OGOxLD6BeaSILKNg0PKAwvyRyvwXpHi/1WAhJErMUXKOkiu0OkpG1nctmZhO/xmBJxjBp08FvEkytDpACEPmXqLkHCEUIbRYd0lnf0ysqBUGovm4u6B3P0fgCRtBS7lAy2OMehB9qX4Hnt5YQ7DsbMtlvyGTBoGgkFkcRH7ia37wlq2tuew2EXASglJlhOTH9zVXCIHBOtpmYLdvWa8bLi53UWaXPJDuUlmmmc+KONk9nHF8NOPocB69Sb6wyS7cmPXmmZ48qbpuYLfvOLv3/gbquuP8fJv8oyq69lOu0EWp3dHRDGsdz55fvZenzdA7tpuG09PIFnn0cHlvedfnqNHj6fJqz8vTLZtNeyd/q1+WMYrlsniF8fQplTneR1+utu2jsfi65uJiF5MG7yhVEkJQ5AkAPox98OhozsGq+qRJkvepkbFSJPD06TcHdF30G4vjunsATy7KXk9PN+TJP6of7g9Cfkk1q3IePlzypz8+4NGjFctFMSURfmmAilKS2Szn5GTObt9ydb1/r4CCwfqJ8VTXd08cDUSAwDlPIErwIjn5a39S/16fu0II7NqO082On6/W5EZxUBUcVCWZ/zK8cgfnWTctz683OB+oMsPRvGLuPF5//v37vX57fVHAU+8sm77ltNmhxZJqZng6W7EdOp7XGpcc42NKcnK3T+4/1nv2tmfbd7TW4sPnSTgLIdD3jmbfs9829N1A19oIPCWJVV5GY8wcExMqROTSfmjgKaYUqMkwegQ5pCww6oRc/wkt33MlTUikKJAiR4kSJRfIO3tqiennneV5H7w+5yNc3Pr5qRhPGkmFkBqtDlI63RKQ2LClsz+ldL0nQMCFmsFf0tnn+FAjhUHIw/S5RZRXfiTQbJwopozLmG7pLYO/GXwLBEYqdErQdGFkQsbfG6FfAXhc8PR+oPcWKSSZ1BihsMGl7Q+vPHK1UBip0UJGDxySFw4h3YOil9wYCKCFQksV0+pSP9/blqt+w4v2klwaXIgDz1yZ+H6hkvxOxkCGd/T/2+0Sj8fS+QF3C2SXQk7Hf3t7O9tw2W153l4y1wU+eARgpEalfZfIqc1iew8M4Wbb4lbbKqmm++94jgZv0zmIwxeBmI5PCZXSRhU2nc/e21cGOrHNVUo9FVO7vKuciwP89abh+rpmu22pm56uu99krSwMh4cVjx+tODqaM58XnyUN7C71y4StxaLg0YMlu23Hy9PNvSfnIUDbxdV5bRTbbUuX5HrjV33MhZExxnw+LxgGx3JRUlUZWaZw7u6pUoN1bPcd5mLHyfGcfR2ZBt6rV2R9X0KNRtsRrLHUdcd63XB1FRPN7jpRHY2blZLMqpzFvOBgVTGf5wm8e3Ni7TjJ9VPqbpgmu0rc38jVWhePY9OwXtfsdh1109P3dwfRpBRUVcbx8YyHD5ccHlbMP1My313q9vWU55rVquTxoxXrdcOLl+t7AyveJ/bbdc1slrNL18Kn6osfuoSAWZVxcjznu28POTmeU1X5FwkgAlPQwcGq4vAgGvTr99jXGNwwpHRC+1YG6nQvCAHrHHU70LQ9zkV/rzzJAI1K0sRbn/2aroX7lnWezlo6a+mtwzrP4FJwxtgXuElkK4yhzAxVduMBJ2C6vzkfaIaBprf01sZUNxlHMj543C2mGcSU0Cpt0yiViA4i3jfTezsbzbqbwcbl5LRN7+M4zfubUY4QgtJoysxQaB3l/eJV1p/3Aes91jl65+isoxsszvtpO2ManRSC3GhKoymMeYUZF9J93YUQDa8Hy7bteHa94dn1hufrbdwPo/EhUGVZYhbF9DWjFEbJ6c+3nwWDdbTW0lnH4BzWOQbn4TXnRQpBmZnpuyQ31+z47LHO0w7xPD9fb3l2teH59RbnA2VmyI2m6QeqzFBlhlzrmEipJJmKyZSZUq/0Bes9Lr3awdINcX/HthnPhyBZF5ibY79J+7vZnvOewcXzMp6T1tpXjrXuB+q+Z9/Fa8ze0xfuU1YI4cYGiNgGUr16LYZ0jQcf51ZSislz7rfUFwU8eeIEcfAOLSWrrOBJteRls6VQ797VTzeNf3MFH7C9pW16mn0/Se28C9POee9x1tM2PUIIqln+kVZlJUIYlCiRosCHmoCFIJLc7gQtD9JFdP/WE8LEJDZhkKKAD+5R9BHrc18on7zEZF6uxBwtDzHqISFYvG/oeEbmH0/pdt7XWHdB715Mn5FqjlaHMY3wI0sFQwJ4bHCs+x3Xw47NUKeUxYCWirkuWegKLRWt62ldjxSCha5YmIpMGqSIvLLW91z3O676HYUyLM2MlZmxsw3X/ZarYTeFI4QAC1Ox0CWVLhhuAV9DcNjpp8OGCGTNdclcleQqPfyRXPc7TrtrfqrPMFLTuI7Gdcx0QalySpVTqCy+7ih5jcCXp3MDl/2Gy35L7dr0r4JcGha6ZGEqjNTTQOWq33LaXfFTfUalcxrXUbuOKu1HqXKM1GQJiLoedlz3Wza2Hk8ISkiWZsbSVJNkUAnJECzrYc9m2NO6fgLqtNDkylCojFLl8bvI2duGq37H9bCND7WpzUvmumKuS3JpyJQhuwPwFJOkOs7Ptpyf79jt786uuF3VLOfkZMG33x5xdDSj/EInur8srRXzeYFzgevrmtl7TpSG3rHfdxij2NcRLBgnu59CDmOMogyGYV4wn+fM50U0bO4sff/2idtY1nrqfQcBrtc19b6jHxyZ9XFg9YXJelyKXG6bOEHdbhvWm4auu3uKllLRGLkoDMtlwXxeJP8vnVglb/n+NJgefPSiG1kWhY6TmfsCT33v2GwaTk83XF7tqev+3mMbKQXzRcHDhyu++eaAg4Pqq0l0G83dQ4DTsw3le5i7j15lu13LZtPQNP0EPEn59QANIyNTSkFZZRwdznjyOJrDF/mXe2+VUpLnEQRfLAqK3LwX49Ul2WnbDfSDxb/Da9B5H+9fXc/51Y7zqz3dYFnMCuZVHl9lxqzMkF+g9PtjVO8cl/ua813Ndd2ybTq2bYd1LpIPBJPqRQnBw+Wcbw6XPD1YTkbsSgic9/TW09mB59dbnq+3XO6bCbSQQiRgwkYAhTgGnec53xwseHKwZFXmZFqTC0UIcd8G6zjf7adtSiEwSpFpRW8tbQIoxu0pKflmteTJwYIHixm51uQG5C35mAueuu/ZdT3ruuV8u+dsV9MO0SsuEMe/Y9rbyXzGo9Wcx8t5PBYiaGJ9YHCOzlrONnvOtntebHb85fSCn683nG33KCnprON0syfXilxrqtywKguWZcGqLDioClZV8cqzoBkGznfxvGyam/My4U4ijhejIb7i6cGCbw6XPFzMk1dTvDdY5+mdY9/1nG32nG73/Hy15s9nl7xY76I/p4C6H1gWedxHo5nnOasyZ3lr/0xVvjIbGayjGQbqfuBsu+dss+dyX0+AXODm2qkyw+PVgserOauyuAHbbt1rB+vYdj27tuNi38TzkuSKSt4AVeMnrvYN7Rfs6xRtgQa6ZiD4QF4a8jJDSvXKe+xgsYNDyKjWMkb/5mnfF/U0Hy8I6x1Gqgl4+tvuilK/+UH1S9jkcz6WfYhpFm3d09Tdjbm4D4xLtkNnaeseIQXGaA6P53wcgpZEJlBIihyBJASXfj/DqAcYdfzeIEJMQBslY6Nv0ddU/5lcG+M5EkIh5QwtD8nUIwZ3iQ81g70g13/AhToxahoGf0nvXmDUMUpGQ3EtD5Cy4GOf67hS47E+ghrPmgtO26sESEWmzoN8hS0cuczYDns2Q42WCp8HMmVS8EFk8USgZsvP9RlzHV1aK5WzG2petlf83Jzjgp9W/B/kKx4UB3hCBIxsR+N7OtfTuoHW9/RuoPMDWiqOsyUn2YqZToCMjODNaXvNz805Skga11K7lpWZTwDOIlQoISnkHYGn4HHB0/qei37DD/Up1/2W8UKe64IH+QEueAqV3QKedrxsr/ipOaNUGY3tqG3HKpux1HFfigRAZVJz3W/5uTnntLuemBGZ1DwqDvHcsKW00LSu57Lb8qK9YGubyVA9VyaBgCVLMyOYgBGKnW047a74uT7Dpjb3BB7kBzzIVwgg6JAGOu9+RFnr2KYI8/OLHft9e+8kO4ir8g9OFnyXgKcvlWHxy9JaMp/lGK24utozm2VJus2dWEJj9WlVVQio626aLEkpCOHjS2K0VkgVGYbzecFink8G5856LHcBnhz7fU/bWa6vG/Z1z9A7XOGnSfCXVM55+t7StAP7fc9mG8EG7+8uER0N8ZfLguWyZD7LE1tMvxOkcN6nVfUbVoEPgVDkcTX5nsfTD5bNpuXl6YbLyz11c3ePtdvHs5gXPHq45Jsn0VDcvIff1+eoLNMsFwV5pvn5YEZZjubud++L3gf65Au6SezNEXgCgfo6mmLqb1JKqir6dT15vMIY/V7+bZ+qhBTkuWGxCBF4Ku4PwEKy3RgcbTswDA7n3nwBhJDuBdayb3rOLnf87fkldTtwtJpxvKoYVrMo58wNHy//+Muq3joudg1/O7/m2fWG0030JuqsTePZyEoyUqGV5B8fnaCk4GReQWJ9qwTCdNaya3t+utrwv56f8reLa6rExFFCsut69l1HO9gpruhkXvFP3zzEKI2WcQydKRUZ59bS9JaXmx3/8vKcf35+ihSCymSUmWHf9+zbCCCNee9GKf7pm4dA9C2CtP+3uoPzgbqLqW7Prrf89eySv55fsW7aaXyaazUxlP50cogUgsOqjM+3lI7ovKcbLPu+5/l6y59PL/nr2SUvNlterHesm5beOq7qhlmeoaVEK8kiz3m8mvNoteDJaoEUgnmevTIUa3rL6XbPv59f8WK9jcDWZocnTCwnLSVGSXKjqZ8+ItM6SvpgYrIPztEOlnXd8uPlmj+fXfDDxTUv1juer7c476n7gYvdnkKbmIwpJcfzksfLBY9WCwa3QCvFqixeMUkeAa3ruuVv51f85eySHy/WKWgnYg06be9wVvLfHj8g05Jcx+tG/6LP986zbTvOtzV/u4jb+8vZJd6n7SjJLMuY5fF1XTcTI+pLrOADfWvZb5uJGGMyze2L0YcInndtP9kBaRN+s+j3vYGnEEKUt+DSZCj+DASUiGl3kiixkHeUTIwluLlwMxUlGr860BCwwU8Su1G2oSZ63Oe6Ld+irCcZTlxpvaH2vfruj1cChRQztDpC+wucX6fvHPChwfkdSs5QokKK4p6yt69YazuCZUIlKeJ43CkFkCH9/IqP8Rd1u09IUUZTeP2UgKe3Dc5vsO6SwZ0zuFOsO8f6a5zfRYAyJeLpZCL/sVddez/QuJ7aNmyGmtq2dH6Y7gMyRCmb7NYYaZKMbiAkoGgz1LjgMEJjZARHIuMosgw3w55cGtbDnr1taN1NZI0Qgtp1XPZbOjcwBJsYAYnpFByECIzkwiCFZPCW62FH7wfmpmQmy8m426UkOS0UhYwMpyj102ih7nwTH9leo8yuth3boWZrm1vbNREQSjLE29TscV8AtFQUKiOXcV+01Ljg2NmGQGDvWnwIUbIoo/xOC8XgHet+j/Uusrx0yRAstWtZD3tq25IpQ64MVWJ0jf5Wreu5Jty0ue+nyZgQgsZ1XA1bbPAc50u0UJTq3b5x1nn2+46Ly/3Esrhrkl387uQrU2SsVhUPTuYsF+VXw7KQUpJleprglUVGXhiM0Tjn78yciYlknq53tK2laQbqZiAziizjlZWwD13j5FwS06VmVc7BwYzj4zlCCPre3cmc2vsQ+6jz1E3Hdht9hpQSKQ3ty0rh7Ppohn51tWezvWG33KeMVszneUw2PJwxm+Voo+4oZbq5+wzOs+/7mCCcJBq9c2RKkSl9JxbdMEQQ+Px8x/V1Tdv09wI/hYjAUwQqKk6OZ8znxRdp7v+6klKQZXo6hrIw5LlJRuP+reDD7Rq96brOTn2xbXtMphFCodSXDztoJckLQ55rFvMiAaJ5AqO+3P2XIvapkBuqMgK4SsdJ133Ye94HnHUTW/Mu9h9jb7Te0yW2VNMN1O1AVQ5Y678Kz7oPVUJEs3ejFYXRLIo8MjSdm+RNI2uzHSy7ruO6bjnf1SyLnHmeYfIsJW3Gz22alhcpbexkMeOBlCwKTZlplBTkxk6yr9461k3H6WaLStdsYeK4wIcQgZGu53y758eLNVVueDCHWR6ldKKATCtaG7fpvGff9Zzv9lS54WQ+i+CMVmkB7oZN9OPlNS83O/Z9T6YUy+Jm3D1Kwazz7NL25tcZq6pgWeQsinxiKisZwZRZnrEsc9ZNG33D0nU+yzNWZYFJ4Mk8z5kXeZS0mXjf/+V4Xwim+XllDIsixzpHcsGZ2EyDczT9wLbtuK4bLvd13H6ekSWPNykEWkmKTE/fnddtam85MZyqJHc0SrIsC2ZFRpVFaZxO52YE5gB2bcfLBGBd11EVsCjzieBy++UmX6ktIcDxvELPZygp4/YCNH3P6SaCbWfbHe1gKY2J9/zEchuvkaYf6K3DfcBgE2djaIcdHFJKTKbQRsVFucExDBbCjWyXhEEAUUKX/BFFuv8662nrjv2mxXuPyTXlPJ8UWc552rpnt67ZbRqM0cxXJYtQoY2evE/fZy74/sATgSEMdK6j8x297+l9jw+eXOXkMr4ymZHJ7E7A03gRKiknXe6QIsB/CQIEoHWWeui57hoaawkhehNI8VvxuPcvkXSQUkm0URM+Mw6shXzVWLisMrR5Ox3+vfdFaJRckKmHWH/F4M4BORlHd/YHIJCpB0iV8/Uxlt63JEJohMgQGMbjDjhCGPChw4cBFT6PQf3HLikKjDwm19/hfYMVF/jQYv0VvX1OO/yF3r3A+mtC6KPpuDom108x6jDKKj9yta7nqt9y1W/Z2RpPoFBZ8lLS0dctWM66NQKR5FwR5Oi95brf0riWQkaZV+M6bHAIIRi8ZTPU+BBBqiG4OLES0V9ISxWTNfotF2F940+UvIpKFeO8jYyglg+BnW3Y2JrO9+RJPrcwFXNdME/SuofFId9WD1mYklxm5MpESZm86204MoNskvvZYLHBIREsTMVJtuIwu2FTmVvbXQxpX1TBgZnzqDjk++oRpc4p0r5shprNsGeb5HUzXTDX5eSlBbB3LdfDjvWw40F+iJF6AsIa1+OBpZnxMD+MkjmlyaTBepcAwT072zB4SybjSuPY5s67SQ4JgUrlHDB/Z6s456nrjqurPdcj8HTHCd44OJNSUhSRrXBwMKMsTbx/fwU1HoPWkswo8iJOmIrC0Pf2zv5IIY2wvI8snFH6NatypBKfLMJeiuTxczTn0cNlklK27O/4+XGw1XWWzbbh7GwbwVMhEgPl4+37fattB66va1683LBeN/f2JQPQRrFYlDx8uOT4eM5slk8D4HfVON7SMjLNmsGy7To669j3PVWWcVAWrApxZ+Bpt2u5uNhxvW5o2+HOE+WRIaO1oiwzlouS1aqi/AKT7N5U8RjiYDwzmqIwzKo48e06i3N3O79jX3Tep8CAlt2uo5rF1fWvgfVksgg4LZclq2VFkWSHY1/8YistFmeZJssNWaZTmwu8584MvshiCtg0iXsr7iTiAoLWIUqojKbIDIN1KCkmH5zxu7/g1vugZRKT5ZuVZ5Fnk7eOD2ECONZ1y/luz8WujkFTXc/z6w02ybpm+c1iQwA669i1HZu24+FyztGs5OnhMi7WKcngHJf7hst9M3kEPV9vI9NeSQ6q4hU2TATsB67qhkwr5kXG06NVJE0kud/lvuZq37BpOrSUXNUNIbmvLIqMeZHjQvR22nc9L9Yb/uXlOdu247Aq+S+PT6L0OTF0muTXtG06BHC5r+mt48nBgqeHKxZFPgFOUgieHCwojOZoVmK0ohks1nueHiz548kBj1fx3wujKY1hnkC7eZGxKPJfsX8KozmqSrz3HM1KOuvoE1NsPC8Xuz3n25rrugGYgJ0HCz8xoYyKrPZVWfDd0Yp5AseEEGy7Du8D3x8f8KeTAw6rkjz5MM1yMwFY8yIyjIQQ0+JsCIGruuVvF9f85eySZZnzZLXgHx4eT95f3kfQbtf29Da2xw+Xa3ZdtItYFDmF0RNQtW17nl1HtlwIcFDFfR69qwqtWTctV+na+dA1DI5627LftmSZploWzHRB31nqbcN+205Mae9D9G7ysS2y3JAVhizXk1zO+2hLsN82eB+o5gXeBbyLEry2Gdhe7bk43XD5ckNeZpw8XoEQlLOcLNfkUr7Xzeg3LekOfqBxDTu3o7Y1tYssg7meM1MzZjrGMes7TqxGYzaVHtw+dcTRVPx2hRDonGUztFx1NY2L5sBj0t1ng57SA0QpGaUDSfs5mnbJJIEYqyizD6KZfO2uCI2WC4x6iPGXKPkTQqgEMkTgafRn0uroP83DLF4dComJANQoNQw+scFaQhgId5B2fI0VgaQjCgasu6S1f8WHLgJP7hmtPaR3z3FujScCT0Ydk+mnaHnI/dIL369G9svL7jKtSnhyaSgSiwYCZ92a826N855HxSELXZJJTe8H9rZBS8UseTSNJtxSCGxwbGzN3jWTx1AuDXliDeXKcN6ukw/RLgIwqmSmCyqtKVXOTBeTl1TvB/66e8Hz4Zy9kBznKwqZEXRgpsv03gjGfFc9pFJ5YoGKe9+rRnapHV8+Us4XuuRJecRxtpp8o9QtsH9uymlfDrIFD4u4L5nSiZkq2Sbg6Vl7wUm24jhfcpQtkt9ShvOOv+6f82w4Z287tNSsstlkRt64HiMUKzPj+9lDVib+m0RwOWxZD3tOu+uJmZZJPbV5oTLOuzXX/Z71sKNSUTJ4l3LWU9c9l1d7rq7rJO+5e4KWEHKSKy3mBYcHX2561ptqnNCZTFPkhqrKKQszyXbuOvkfza673rKvO7a7FqWi5wkfv9sD8ZxUVUy4e7Rdsdt1nJ1v77WNGPJh2Wwazs435LmOhsG3XWm/gGqbnqurPS9frlmva/o7sLp+WcYolouChw8i8BST7O4OPGkp8UpFiccwcN207PserRSzzCCAyhi4Q3hIBJ46Li63rNd1Ap7udhy3AdSyMKyWJQer8qvqi5GxFaWpWaYoitgXhwQ+9P27tzHWKL9qu4HdrmO7b1E63qfMVxApniXg6eR4znJVUhbmqziPgihfViomhhqj0lheEoJHiLvFznsfmRRRZvfrOcwvv1PJOC7NjCbPNEWm6Qcdw1N8iCEL0eTnP00ZJVlVBZlSPFrO0WluNTK4hYBn1xv+fHpJSCz0fdfz7GqLEjJKxG5VCNBby7br2TRtlKjNSv5wfDj5Gvng+elqw09Xay52NXU38GK9xXrP4azAev8KEGNdZD1d1y0n84p5nvPt4ZLDqmRZFiyKnJ+u1vx0tebZ9Za667naN6zrlkWR8Xi1gDD67UVQ7Pl6y7++PMf5wMPFnP/6+ITHqzmZjgyfy33DT5drfrxas287LnY1z66jNG1R5ITDZWwrIZMXlObBYsbTwyXNMHC62bPver45WPBfHz/g7x4cJYmYSWBV9Gd6nfk5QK41h7OSwujESlNRipjeJgT85eySfzu9mK77ddMRQgQTl2UR+1kyLc+1Yl7k0UurKth1EeTxIfD90Yp/+uYRj1cLZrlhlmcYeTO3jp5RcRR9m810XTf8cHnN/3p+xv/53WP+y+MT/uvjB7FdpMR5z+l2x+lmz+l2x9lmz7PrDZf7mkWR8+3hajL8dz6w6zp+vtrwz8/POJnP+O5oxf/13RMOqiIZ2hv+enbFv768+CjAk+0d+03L1fmGsspRWlLNCoZ+YLdpuDzb4pK1z8h099ZNoFI1zylnRWShlpGF2+w7dpso4VweDnjn8d7TtQP1tuXqYsfLn6548cMF1TwSDrLSTM/qLNfvhbX8JsaTDZbWt9S2pvMdgx+S8W2X9LcCLTRFKF4Z+L5ptaNUhuNixvfzA0pluOoa/sflC/62u+IigUunzY4/b85RUrLuG9Z9y7prqG3PQVaQKc1RXpF9riWhNFiw6YRnmSYvo+xBqnE17NYxzzJMpj7KCpDAoOQCox6Q+WuMeoBWx1Gm6Dc0w18mlk/AokSZgJhXB5hRduYgOHzoCfSE4NFyhZJLlKwQRD+dL3olK5VAI0UZ913Mk3RsZIKd0Qx/wauGEProiSVuKNCB0asrpgNG/6wvS77xrpIiS4l2HqOOUHKOJMP7Lh3/nxncOZ4hJhaKeUy8k0cpze7jS5Bc8PQuyu1GE+sx9SyT8WZXqZyFLvEEltmMpZlFo/G+n1g7nRvo9JDku5KVmdH7gc4NtK5nTF4bU+wyGRk6pc6Z+xKPJ0spa6OU10j9imG2TPtng0ckz6JRWqeT7NjIuP1cRdPsEW66b3+RaV+jiXjFSX5A5/tkXt6zsXtscHG/pcGMaXvpc0oojFBkMpp+a6mmfQlA7y2t7XHGT1K3kZ01CIsQksE7WtdjfUwPjXLq6KWgZdx2KfNXZHJyELjgaF2HC/6V8zm2e6ky5jo+K0od9+1NFanzYQIYmqaPrJi6Syyfu43OtZbkmYnMhDInL6L/yLgq9jXU7f0cQaJZlVGWGf3guG+cewhMjKfNpiHPNPPZJ0KduEmVOjqc0dQ9p2eb95I9jsDTy9MNs1nOwUH1xc3ZmsR4enm6SabidweeRHJxzTLNYlFwcrLg6HB2L+BpTA51yQNl3/Vs2i6tfAdypXDJg+1NY7ixL47SsLrp2W67yZvoLteeIAJoeW4mj6o815g0sfna+qIQ0bOsSMfT9/a9QMWxTSPjqY3guPv4jOMPUZlRzOY5R4czFvPiTp5jX0LdTr9USaoUgSiZrvW73U9DkmJZ6xLj6deL52ONYH/bW3Z1h7Uek5hPCBhSKleUM4Wvoh0/RI0S1dv+cz6Nv4WIwPnIqtklH5rROLpNLJbblc5sJDlISZkZDqqSk0XFIknUIsjQs+96uiEm1tX9wL7t6Qb360UccaNoybRmUeaczGesqgg6zfOMXdex73qafmCwjt62UYaW5Hc+BHrrUiJaT2ctzkfT6iozHFQFR7MqSc3iuKgdBnrneOED66bjxXrLYVXS9AOEpK5JzwglJTlMCXNGRyl2bjRVdovhlGfxmntHjemL3WAZvJ8AHxDIifFUs67b6HGV5F/RzHz0kkyzqnQtj4TqeZ5RJDaU84HCRLBpUWTM8px5kf2KgTXWKMPsnYvyvn3D+W7P6WbH8+stsyybWGPOey73DRe7yEZbNy3bNgYU3b7WBhu31/Q38kspoMozjucVB1VJbhSF1qyqaHZ+UJW4EBMUB/thlDPOpZTMbQcI5kO8F1jrYzjJpsEmkNs5T5ZpzPQMFXTtgLMeQUU2LgKEKOGbGFK37IF0kvKN3k5CCpSWGBNZU1K+f6r5b5pBWm9pXUvjmhTPLVBCpQlGi0RSyOJO2maAmcn4plzSrgZaZzltdvy8X/PD7prn+w27oeeH/TVCCF40W2rbsx8GbHAcZCUPywUPyxmPyvmdUvA+RsWIQkffRSd4Nc+ZzYvkFv9rmnE1y6Nu/yOswgqhUWIOSuL8lkw9IVdPknfPlsbvcWGL81usX6PlMnk+zW6OBwihw4ceH9roBeTXBCyl+TsK/XcI8QQpzCuytS+5ogRxhgmHaLlMKW0aF/Z09mdA4vQGF2p86GDyGBOEEEE4gcSoY7Q6+eqAJyEMSs4RKLQ8RIt43gM2Ak6hw/ld8jFaotRqAhmlyIjpeB+3PCGZALqpz0zecUKihWRl5uQqQyE5yhccZUusd1wRk946N9Cqntq1zHTBTJWszIzGdVyHHbXrkAI047blBCLNdYlO7J0hJdoBSGQEbpI8LHrZ2Vf675uGpL+1h48gWSYNM11ykq+iKaZtccFx0a3ZDPtJajdPDKdKFHe6v0yT0OCBkMAk9StmVpj+4yYZJO1XTMV7FVwnvc8nX75AQCGQQiFvtftMl2ihOcwWnCTm1hv3dQL4PW2X/IjqnraJD/q7MnyM0VSzKOupZhmZuYlh/hpLSRGBp1lOWWbUTX9vadkI5u33HZtty3xefNJYYCEEVQKe+t6yXJbkmU4m53djG8CrwNPBQcXjR6v7ua1/gmrbgat1BJ426+ZOPlZjjdK0fASejucx/r3M0qDw3TWyyuMkaGDXdWzaFiEKCh0NdUfrgjdxxbyPg19rHV030DQ9dd3RtWNfvNPBTADnalVRlRkmJfJ9rX1RJ3bSfF5QNz37urv3NiLwNLDbtWy3LYt5cWc25+cuYxSzWc7h4Yz5PP9qPPNeqdTHVPK/8Sl84W7S5cR4SgyENzGeQmK77Nueza5ls2vpehuBgUzH5K/B0nZD8or6wMf4BZf1gX0fGULXdcumjelpLoVeSCFZ1w1n25iIVmVmYtXYN7S5koJMK0qjmSd/o1UZwQOVWG2jJ1KVGZQQDCl9zb1Gtj55FOkoAVsWOYezkiozEwHCKEWZGeZ5xrWO/pkjkDgCHN1g2TZR+hVCNB/PtIp+USb6G6kEJmVKsSpjeua+6/n5ahOBnqZNhtYfl9k7uJjwdrHbs06Jdtu2S+0bnxln2z1n2x0Xu5qhKgFBaQzO3/0Zft+y3k9Jdrtk7D4ayoPgfFdP41kfAnUCFdthoBssvbXcpnZHIo2j7ga6ZBSea0WRGE5VZsi1moCwXCuWZc7D5QzrI3ut7j5Msp33fgomM0bhrIMA3nqGbqCpe+xgpzCzsspZHc1ZHlRs1w27dU1b95Pk2eQGpSN4FG5d15HJZEAI5sue+bJktiyYLcr450VBUWbo7P0tgn6TufjIeGpckyZscfXcBccQYmPP/AwXEkr/jo4w0xlPqgWZUvzr+px/2Z3xv9enrPuWTd+xsz0/7K656hrKtYnIpncUWvN/HX3Df1k94B9XJxzmFYX6PIlEIcRBWN8NEXjSimpeMFvk0dRLvKqJLKssOsl/DKkd0eNJMcOHhsw9IbNP8KFLJtJnDP4c6ze0RRPfAAEAAElEQVQM/gqjjjHyEC0PudmhEAEYX+P8jt69ZHAv8fT40KHkAh2OiEi3/oJEDG8ugYngmiSBKSUIhfMReLJ+g/c1IQwQfAKeUgcNlsAQWT9CoOQcWHzuQ7pXxePXKFVh1BFarpBihg8tgzunt6dJgmlQcpkAyWViSQk+hVRlNNG2wacEFzExnxSRdZTLjEMxJ5OGhalY6IqdjRTXvW3Z2YbadWTSEICVmXOSr9gONbXr8L2P51XeAE9KSCSCuY5JbADrfsf1sKdzfQS9pMYkNtEImow34HDr/2/a+8O118haGr93rkuuhx3PmgvO+ytccBy5jsFHHwQl5CvMI/GLn79scx88Dp+0+mNM8ZiIGI8twC3oKR6fFpGJFpPufh0GEQh4okwQRiBRTsdxu821UCxN9VZj8WlQP9g42W176qanae9nZjwZWa9KZlX+1azKv6lkmqzMZjlVadia92PT3mY8HR1U75US+L41ejGptOI5Gr2Px3FXULHvHetNg5CChydLmubusq9PVaPH08uXa+q6vzMrZgRkRmP5UdJ0eFih9d3P+cjKGIGnbdez7SLjaYz/lu/YVuyL0dy0Td4Qdd3TdveT2WWZZj7PWS1LqipP3pdfb18c2Yfzec52a97LIN17T9dZtruW7a6l7YYPalj7MWu8tx4eVsxn+RedZPemGpkxo9xTOgncjcHgkzxuYjy9pjOEMPafQN30XK5r1rvo/6OTz5RtIvOm7e+3qPIfoaIZ98DlvuHZ9Ybn6y0v1ls66ybJVJdMxfddz0FVYpSiykwCiX7NTlLJFLswhnkRgaeDqpjGOM6HCfCpMoOUEuscvY1pvb/cphQCIyM7bZZlLMuCw6rE3DJeNkpOzCKTWFmddQwJHAsh0Nro2zQyhKrMUOUZVWIAZbfuH5mOvkiF0ZxudrjgJ+CpS15LH7MG59mNEr/1lufX8bwAk6/VPrHGmn4AIti3dPnrz8sHKjuazLc9u9SWu7bjp6s166blr+dXScFyE9bjQ4ihJlpilHql7dwtJtqYUJcnH6wy05MB+/iUytN56ZaWXdtx/gF9Mb0LDH0EnvJcpzFZHAf3naXddzH9NMnltF6xOprx8JtDvLtgc7ljt25ZHc6RSpLl0TNslCjeNiLPCoPOFH1bMltGwCniGAWzZZTr/ZZn83sDTyMDIZc5ucqT70j0khDjf2L60522mSnFIisQQlDbnt7HG/zWduyGjtoOZFJFw9pbUrpKZ/z98pgnsyWHecXMvJmK99FLJDpapunagb4bWF/taZs+Mjd+wXharEq0VlTzDy9liF8jAYmSC3L1FJ/VKDmjsz8jZZn+PWD9FSF0OHGFFBVT74RkuD0QQo/z+8RyiBIzEfkiCZj5SkpIBBlKBow6oTB/YOb+CRfqCCyFgcFfglU4XyNuAU9jSVmh5BKvHn++43jPukm4k0hRodURuf6GwV1g/RoXtklWd0CmH6LlUZRTik83cMyVYWkqGreI6ZXBsbV1ZB+pjCI4MhnNuYWIPkIqMaG0UBgRmTchBAZvp2S5XBq8LqLkzg3R+yn4uO2QMXjHoKLxda7MZKp903YJeksU5rfBcFIIMmUoVY5EsLUNz5oLZqqIkjtpJuNuLe42ybLBJTPvgb1t2buWzZTM1xEgGY/H9420c5kYSZWOMo3NUPNTczYZsufSEAhUuuAkW06eTz+Hswi0iRgh3LieQhqkmVOp/BUfqZt7/a+PwwjNTJccZUs6F1mq0WQ8GaWP+/GaNn9djaycuu7Z77to3GvvZqJ9u3TydprNCorCoPXXIRd+U8n0/MmSgeT7eKqMoF7fR1BvsO6TsiyiT06cdJWFmcCI5bKk64Zk0vzu/bHO0TQpxXLbsN93tG1PCCYlzX4eZpu1jsHGdJrdLkqo9vuOrr/bcUFsn7LIKEvDwUHFfF6kJEP1Kzn/22oEgGOkd0wM0jKyHENguoe8rZyLcrB93VHXfTyOOxra394PYxRlkTGb5VMy3FfdF1MaV5aN0oT7H0sIJCaZpevsV5VqFn3zNPP5eG/9+oAnBEgZWTJKjTKiu3/8tiT8baftRpqpsT5/JbWszDVFo6mKjDI3dw4O+FprTItzPrBtOk43O/52cc113SCF4PFqMbGMtJTskmfS5b5hlpLPRjb269p89AUyCbga5ZRjjRYIUoxz2BuA8HU1SjJH/6lxeyPrdJoT32aOh1ely+O+3kgJb/Zh2o9bF54QTN853auTsfTHuj1477E+npvruuHFesdfz69oBkthNN8fH0xBFVpJrvbNJGGrcoOWajrOj3cHC1OfQ8T2yYzmeFbx+GDByXz22k9JEYGnTClO5jMeLufkWk8pcf5W/43nhem83F6Yma4tpT7480skXyWpBNY69puGi5cb1pc76l3LkCwmgo9yOZl8prVRSBWvEZ8Wa/tuQClJU/fU+5ahs9S7lnrbYjIdE/B0TMAbwS1rHUNv6VsbwXj9/t6Lv4n7aqShVCWDH9i7PZ2LPk9GGjKZTbKYEYB65/aEotIGLSRhDjOd8021ZDd0bIeOvU1+LzJOMHMVV9krbXhYznlQzFlm+ST3+BwlhUCnZKG27mnqnq61k8xOqlcnZkO/pCgzDo/fnd70W0qJilx/i5TFJBHT9hDnt/jQ4v0OxzbdqUcN9Q1AEaeVMsm0Zmi5QMuDKFMTOoEzX8cDUSBBRFlgBJ7+nhBcYnOdMbjTqV16XkyTaSEkQmTJI+mQTD3Gh3u4hX6BJUWZEuu+S3Ko6G0VDcWPyPW3GHX0SZLsblehcg6yyCS7nNLtmmhE7TNKH/2Vgg5oH0GR6H0gJw+m1seVo9GfRBInVZUoOAwLJIKrYcdlv2U97GhdNLkufUapCnwyHbfBE+4oF75dSkhyaZjrAhsc62FP74eJ2bPUFZWOXkj6Dp50ISXata6ndh3XfUyXux52bIcIyimhfiGEi59UQlIow1yXAFz1W1rXsTAVSz1jYSoCgYUuUaWkcwNX/Y7T9jqmvSQ26xBsTOzTFTNdYoS60yAik5qlnuELP53PzbAnkx2dzyncQKVzfGLG2ndMeEfT7N2+m4Cn9wFHlJaTNC3Pvw7z27fVCNpEQ9wErrzHdpwLDEOSjNt3gw8fuiIoFFflRn+mo8OKzaadPAzeVdZ6mnbAucB217Lft9R1z+iL9LkYGMMQAbG66dN+dXE/EzPiLqWUZDbLODiYcXQ4i4ySCXS6+xkfJ3CZV1FCkFKDYox0lOGNg+43bdX7GwPsuu5iutF7XC5a3yQy5pl+ZTL4NdbolWGMQit1Z/nj7RrZMEPv6PsErn8ljCetJXlumFV5BJ6+wnvrBBioCCTEidhdPZ5G4CmBsG/pFCJJTRezgszoBHRFxmfTZjTdQGYU8yr/6vvFuyqEwOAc3eBYNy0v1lv+en6JdZ7vjlZ8e7Sakta0kslYe0NxtY2Li0a99Zk3TuCnBPR3MTp/8frV9rgJaVAfaHtfYrkQ6JOv01VioP3b6QXLsuC7w3hecj0m+SmeX2/4+XrDy/WO3GjyTwU8p0ZVQkzMtW+PVvzTNw/5+wdHr/3IKFtXQjLLDcfzGcVtr6s3nLBfnStxw0YWfNiFrfE+ZIzCOc923eBcYL+JiXZD8vOUt+5Xv9zBEAJ2cHR1j/eB/bZlv2npu4HdumG7bjCZJq8ypDKTZ/XQW2QCqpp9GxnKhYn3ovc4xPdnPCEwIgJPo+RuCAOtb6OcDG6ApzvumZYSLTMqDYssgk4ueLZDx7bv2NkbjbwUkrnJWJicSmdoERHs+H2fr4QAoxVFmbHTLfW+pd51OOuTufirSyZCCA6O5x99FUuKilwX5DyhV4/QKvobdfZHOvsTgzvH+S0u7PF+z9SDkEhRIkWBEhVGnSSj6YfJ96dCCgPJXPzrKDmBaEY9oMShxJxm+DfAY/1FbAu/x4U6XU8ReFNyjpILMt1i/TUh3N+34UsqKUqMOiY33+HCnsGdEugRIou/19+h5acHnkqZgVmQJdPsU3/F9bCjcNHUe1CWYAIygTsuxMGdJNKeC5WRu4zBDzhvJ0NOLTS5jA+FQmYMwU1parnqKV1Gp3KcCXF1M0mH/Xus0UghKWQEezZDTGt72faszIyT/ACfx62OJt7vqkBkb7WuZzvUXPUbzpKvU+cHhmCRQr52T7WQFDJjrkt2tuG63/HcdxxlSx7kPZ6AFoq5iUl9PzfnXLVbzrrryfcqk4aVmU2vuS7RUk/+V2+r8bOZ1AzecdlvWA97jFAUaqBUGR6fnisK591bwb4peW3fsdvfz1D8lXZR0dB4NDNWX0NO+VtqlEfeTmK6rxB/XD3tB0fXO6x1n3yyK9MEL8tugKfDw1lMEGr6O5lwjwBV1w1sty27fWTkjIlVfKZksME66qZnvW7YbqMhftPcbwFD6+ifc3Q04/hoxmyeJ7bT/c71OGEaI9zL9NIyskWjT8rbwTDnPF1rE3OrZ7hHiuJYE+OjMJRVRpbptEj39ZaUI/tQTyDwfSsynmJfHHqHdfdndX6uUuneOpvlFPnXy3gaGS33Z0jesC9G5vEbv0YIiiwa6c/KLLJ5lCQEaPuBtouL1/MkQf6PXNHQOXr1XDctL9Y7/nJ2RZlp/uvjE/6PJw94tFpMUrvn6w1lFu0UumS4/KY+Emc0MQhFyZGB9NtqnOyrZKVy3xnoK7sqfvWH+3z6o5b3gd5Gs/WruuHnqw3/dnrJPz485vDbkv/H90+oMjNJ7f5yVpDpCDG8jTH2sUqntLxZlvHd4Yr/89vH/D//8M07PzdKLqUQtMOvxxlvNxu5xWz7wI8vIWNiqjYqLrqua3abhq7pk7+Ti/dYLd7I6B6Bp9ELdb9t2G0b+jYm4+3WDXmZIVRcNICAsxF4QkBb99S7DqXUJNf7pKl2AA7H4AcGP0xG4kooSlVSqhIjDJ3vuOwvKVQRX7JA3Rrw/aph0s84gZToIPE6ajDzW/pLIQSlMpTaUKh48CMt8XOW0or5suTk0TKynpqerhlwzkePp18MPo4eLFgsy7SSclPh1oPKBZ8o736aBErEjclvGCVAcRsjw+OmTUafhggOKTHHyAegA1LM0OqEXD/F+Tqyn0LLKJxBCAQ5UmRIkaPkCi2XaHVEpp5E8/I3SO0chtotWQ8Paa0lsCTIpwx8x8YeMTQNSq6RyKSTjowUIyWNtTS2p3ED1u/TyzLYIwb33wjiCC/+niD+iAvHXPWavttNck8fwEhJpTMqbSJt2UfPIOd9atNA77ZRcuUEkgMUf0KpOZ49Q6jpfZ0i7OM2g8gJ5Bh7SC9WBCXxokt+NQIXAnvbsRt6Bn/rIRhaCAsIf4dUh2RyT6Z3ePFHrvo5a3dNCNFXw4cQ09uUSiBKvMbzD2aY/8s+csNqm6SZokLLYzL1DUYdfnLgKaZwaAIFx3kEoOemxAidTKzNxBaa6YJSZajEdlqZOU8Ky1JXDMHF8AEzZ2VmyVNIpGQ8OMwWDN5O6W9GajIRU+0qlZMrQ5kYPi445rpibkpKFZmVMn3nUbbkD9UjAI6yJSZtf2lmDMEx1yWdH+h8T6UKVmbOwlSUKkPLu53X0UspV4Z5KHHBIYVkoaskrXMYqSc21cJU5MogSaBRNsMFT+06Ot/TuYGFqViZWWQ6iWiuKRCcZCsIMNPFNJjSUjFX0bB8pmMbFCrDCMVxviQyq6Ih+y8T6cZzA3CYzRn8CTotTGRSY4Sm0gWVymPb6/yt7RJCZAE06aH7vsCTUhHcKMtoLK6+8snuuCqmEtX7fSa7AMHf0KtjjPcH3tG31CspfVIyq3KOj+esNzVtO7C+ru+1vRCg6wbWm4bTsw3eR2ZkWX6eUIiutVyvG05PN6zXDW17/7QzrSXzecHDkwUnxwvms+LO1P5xAhCIyU91P7DvoxeHFNEAVgpB7+Lkr08+JG/atvM3ste2jUl27zPJiAmTUV5pzPsxhL6kGkHgMRHtvVa/E2NmlGd653k7hPHl1JSwOcvIi9HI9iuuj/FoSNscWRLjOLWxA9Z5hiEyTPrekploLl0UBh1uScO+Yjnqm8oFj3V+MggXkCTBikxHqxUpx/YK7JPczvkwSYbfWB/tPL4/2BCZWppFnrPN+xvQI0DTj8bXLrFyYurapklm612HFIKDqmRR5K94Qb3pu1R6hRAN3IfROP0t95Yx/XRwCQAnTJI/oxS5jj5U43U8OMeu67jcN5hRyn0n8HkE8iRJr5ACMNIiyFtuf0rGpL5Z8ukSqT911tIMA/uuj/MqrV4Zo47zruDjN6p0IqNdRjSGHxlbcVuWdog/VQLalBAM1rFrey52Nbu2/2CJdgAm08xXVQzyGNy440k6ZydW0uhHd3CyoCgzhBSU85zjR0uywjBfRc8mqSQPnhwghGAYLMcPoydUOYsLPyKZjB+ezOn/+ABlJIfHC6p5QVbo6CX5np3p/c3FCTjv6H1P72MsealKCiK4VKg4Yelcx87uyGTGoTlEZ/qNLKjJtHbUUqaOnKsYZ3574i1EZArcpK58GUIvpSXzZYnSktXhDJfSXuJg99cPibLK4kXwi0HWTVsEBu/ovcV6l+LHo/QlGgEnGdEoZxRJI51SBo1UmEkyB7FTFxh1ktguJ5N5uGcgBAvBcuPxJBAoQCGERoo8vcpoXJ7S0V6HAzuvqd2Sq+ExnavI5ffkamBgwfVwzKVtUCKaBGqhKLWh0oZKZVx1NRftnouuxvoW6ztcGMjkCZkwFKrHiUcgH2FZctl7ztst22EdH1o+UGnDg3LGg2KOlpLWWho30DtL7x2dd3S2oXMNrXMszYrDbMFB9kdCaLG+oaOlD7H9e+8ZvMAGgRQlTh4itUSKjkxpMqnoUhrji2bLbuiSnjlQqIGlWbLU/0iuLFo4tLDsXcVlP2c9XEX9dAK5ZjpjZjJmJucwKxFZ+QGBp19UCNFEfTqDAilnifH0TTIf/3Rx6hAHGUiNQHKSryhVziN3GIFU4o0+E9HM+tU0NcGBmWOEZgg2gYZ+koeN7zEJNDrMIqvqMFtM25bp3zOp0UJjg8N6R8BPoFf8vhvg5CRfkSWgZJmYPeOfjdT0PvoaDd6RJSlgqXJMMuS+S8X+rBNzK8qM57qKRuIEQvDRd08ZCpmRKZPAMZEYR9GIffA2AnLekquMQsZ9ufEgiMD/TBc8coeMA6oIYN20dzRZV3gZOBEwS/f8mS5+5dM0GnBKIVKbGw6zefLnerXNx3P6tnbxPtAPLqbZNT394N5LDqZU9EMqS0OWqa9fxjB6P6ibye77PBdvT3bfZIz7KUpKwWyWcXw0Z7drWV83aHN/5kTXWdbrmhcv19EfqTRA9eF3+A7VdhE8e/FizfW6pnuP1ButFYt5wYMHS05OFsxm+b2YEKOxat0PXDUNV3XDvo9+WKXR9G40HI8MLfc22avzdAl4apqB4T281kZZWp5riiJ7L/bWl1aTpCcBwO/FeGJMDYzMw4+ZCPWhS6koH5tVOUWu7yQn/89WcYgt0twg/s55z67u2NUdTTdEtttgqYo4IVzOC4L5ciVZv7VGryPr4yIxjOCGnJhgSopkDRHohoFN03K63aOkYJHnmDswyL+kkkJQaM2iyFkUHUIImmQmv++GtADgMEikUvQ2yRA3O7ZNh5SCo3nFssyT2fWbr44R1BnHOs77eI9/x70lhHQv8iMYmMgCSk3nZZzf+hBoest13XC23THPcxZFzuwOp2VkG6nEuvVJejm46Pv1NnBMS0lhou/ryLYanKMeBtZNx1XdMs8z5kK8CjwlSZlN11sgKahk3M6MaCqOiOmDzTDQ9PGVKUWmI+mkSwbxF7uabdvRfWDgaXFQkeUa55LuL4whBpHdLYWYCC7lLKeoMoQQzBYFUgiWhzOyXJMlc3ClJYuDKqbgzXKqWU42LfwI8sJw9DACVlJKiiqjrHJ0Fhn173sT+m2MpxCBp853aKEpZJGkLDmZzLDBsvM7rvtrdJrEzfWcTL55pXE0V5uMuxBkQpH9YgX9FWj5tknbvSneH/b2rbVisSpZrMrfuKVw0+m8pU1GyEWIaX1Cishy8B7PGH0uITAxe0YGmA6ScOsKkbJAEr2ePmbZYBLw5Bj8A5amIFMFg/fsh47dUCNFM4E2S1PgsgKZCa66mp/qNT/trqO5tI9yp8PshMP8O5SucKIiiAob4LK74G+7Naftjt7FCf7SFLTuMMmEFNshMpHqxKRq7EDjBlo30FjHk2qJVoccqkO87xlER0tHEwZqd/u9Q+q0hxRakqmOKnhQhsYOnDY7/rq54LKr8QlJP8xKns4OKPR3FKqIptPasK03XHRX/G13SedsNFsOnsOs5CCvOMorBFDqD5fS+GofmSDO+FchEEKhxAyjTsj1NwgyhPh07AAhBIqY3pZJqHTOg3xkAYZJ9pZcx37Vh7NszkH2ds80JSQGKFTGUfKSinR4PzqcTYzBd5USERw7yVe/+rcsM6yYJZ8UP3kYTWD5Pe4/QgiM0Bj0JJv7JdhyE+jw6r0tV5JcGQ6Y4yfT8dfvy2gyDqvX3k9fN6ipVA5vuURkSq8b2/zwlTa/2Ze7tnkI0YOobtJkt7fvJQcbU8HKW5Pdr8W893U1nneZBudR2n3/7fhbjCf/EVNo3lVSCqoq5+R4TtP0vHixfq90sK6PjKcXLzdUVYx4h5uhw8cmDdxuv64buE4g2PW6pr2DbPCXpbVksSh48GDBycmc+X2Bp2Ru2wxRNnG62wPxUimNwfqewcUFsz79fFONfmv7uqdph/dnPCVD+SLXsS+Kr70vilcS0d6P8BTNfCf2h/dv9Qr6kkoluUZV5UnG/JWD+h+pokfQzd+d9+ybnvPrPdt9y5AWr5fzguW8wN7RB+7rrShPHM2yBUx+TjqZV4t0b3A+0A6Wddtxvt1RmBjYMi++PuApNzrKKdt8YjyFQExUGyy9tQiiDLq3lus6+l9t2g4lBMezimVZRFPst9xrbpuhQ0yC65275ef3+vtLZAXdYqGJeF5MOi+jZ5ZLLM2677muW063O0IId/Z4EsTnvpYC7yMra7D+hpX1FtneCH5F6XhkPA3e0/QDm6bjat8gIPkZ6jiTCEzXUp+AovGaU0JGUEnG8wORbdb2A3V6Fem8GdTERDvf7tm2Hb27/7P9TZXlhiw3cDiLx3+7CSbm5OtP/GxRMlv8GpNYHLx98S0rDEe54ejB8k7fc9f6TcDTeCFG5o2LJ1AEXHC0vsWHOGAtdTmZjQ9hmIAqJV6lam36lvN2z3m3p1SGhclZmCI9sON0ME+pduYW+8OHwN727GzPPhmRb4eO3jlUAl8qnXGYlxxkZTQwT8yhL3XVoHUDtY0mwq0baP3A4B0znTP3BZnS7IaWvW1p/ZCkQjrSJ4kdKVOapS4RpiRXn54VFj1pPK2LwBmkm1IIEcBxAwLovJ2kaiPAYoOnc5a97VlmxWQcH5lA8efcZMx0nO0e5TM678iVprEDtR3QUuJC4KqrE/vO0jmLCyEyNzLNiiLta/TB6Z3j3///7P1nkxxJmiYIPkqNu3tQIGlVVvdUT/eK3O7KyZEP99/3D5zsyc2cyPR0dXVXZSaQAII5M67kPryq5h5IBBARYIHMeKsiA3C4m6uZqZmpPvqQzWUAuyICzoJkT4e9outPcYHl0KK1I3JJbTHOoTa0cpxLPdFatZCoTY8ft1c4SDIcpyUU5+H4jNiOAzKpcJjmmKmU2E4yQak0FjpDcktWzO0rRHH6LQb7Cr35G6xbg7MEifgGShwHNpsm8/gHc6WwkMP44Vf82Gv//ZDbn1Y2/YcEu/fOCtv9etfWI5MUU1veqlgHEHv9r0EnP/0nvP+Ou8b2/nSXY+49sQCGwaAfxnsbYG+3HZ7/soT3Hmdna/z9pwss5p+HCfMharvt8Opsg7OzDV6drbFet2F17A4VfEmMIamH/Yy+MpwzZKnCbJbh4CBHVaXIMgIJ3R1SfIbeYLVq8fLVCocHBbru7iyjD1Hee5ILBqndet1iuCXjiWQNBGLkmUZZppjPMlQh0e62jJr9w5VIgSpJYJyb7gvOe2RKoUw0BGOYpwn0W2RSLlyL/TCSAba1d7Yecc5juW7x08+XGEeLl6/W+M+/naP8CGm/n6qurupwHdL1uK3v5wfpnIcNjCfn7uM2+GmLBaY89dV9v5HP3bKHW9Z5dP2ITd1jVXfYNJRyORr3q/j536K0br8iCFO6BLM8xSwjtoz3wC+rDf7Pvz9HmYZVLg+8WG/QDSMWeTZ51X1xRygwlb3nKBKNrxYV/vz0GHU/YLQO//biHM+Xa5q3Co66H3DZtLiqGzAwHBQ5ns4rfHswwzy7+Z7JGcMsTfDVoppAlmfLNVZthypNMMsSlIlGnmgUWiNPFHKlkGkykk6VwizzmGcpZmmKKkvQG4O/XVxB/pXvAgQ88PPVGtY5HBcFyjS59YKREgIHeYZvD+ZYtT260eCvZxd4td6iCn2hTDSKRCHXGrmm9uVahYVL2s5RmeMfT48wWouDPMem6/Gvv5xNn0uVmMYOnHGkiuSCeaIwy0i6rgQtgIBzVInG14sK//TVCbTgWLc9/r8//YJCa6RaIlUSy6bDsukmn6uP6jgdxvAfvbN/hO+5v9RuYh84WL8DnZhnsLBwk9RLIRc5Ep4Q8BT8oCDIfHy/1mOHv22v8JfVGQ50hqf5DE+z6tqkqlIkCdkHnqx3WI8dSZyaDX5p1njerLEdByjOobjAcVrgh+oQP1SHOEoLZJKAhof6NOzsiOVY46LfBpmXgfEOgzNwyiN1Cuf9Buf9GpuxQyKiPEVMbLEixLinQk3o7acEEJyPKVwG9TjABtmg9x5jkB3tTxoSITF35MxvPQEytRlwmpX4upjhu2IxSQ11/C0EnPc4THNwxlBIjfXQYT12hJB7h8u+De1xAXQiWR/5g+38k676FmfdFj/XWzLoDVLOTKprfmKpIHDsrNvirKvRmAGlTFApDc44GjMEsFMhERIJlxi9RT0OeNluUZsBkgscJNnu+JgBM53gSVbhh+rw2n6mQn1gmR1duYCDdTVGe4Zu/Ds8HBhLoeW3BDyxCoypAPU8jNXK18GhD7/9j7ttPslXP8T2aBDq9/5+2+Jg8Hdoy43S6NdXXnD3gfF9jrn3tFLXDyPFjNv7sSwi8LRet8hShTQjk/EvtYbBogmx9k0zoGn7O6f9RQmDtXbyePqcjKc00MLbdkAVotmVEjAGYd/e3bZ+MFitW4ABT5/M0XXj5I34qSqyjLqOGE8vz9aUyDjcblWUMQYpiRVEwFOC+TxHWaX3kqZ5AFpIVIneM0Ml78gyMeiNBQcwz1Kot8ikvCMz4L6PwNPdwRHnPFarBtZYXF3VSFNNXk+fKXnwQ1TXjbvrMFyTdy3vScpoDP18zmvxNhXtJIh1GRlf9zHm/v1UTL5re4PVtsPVpkXd9uh6E8zk9z32Pt745KEUZxyppEX0eZZilhHAsW57/BJAEh0AAc4ZMXaMxSJLKSxEfnnPb2K9kVdSoRWezit0o8H5tkY7jPi3l+ewzk1zOxeYkNY5HJcFDssMXy9mOC6J9XRT/+CcoUoTfDWfwViHZdPh2dUK/WiQaoVMScyzFCdVgZOqxHGV46jIyRNJ8CnxdJbtAMHeWPz9YonzTTOxrDkjZpB1HkdlTv5Pt5TaKimwyDN8dziHWm2xbFq8XG3gAQq/0AqHRYaTqsRpVeCozHFY5siUCpYQ9Cw7Kgv8w+kREiWxbnus2x4vlptdoiFn08ppIiVOqgLHVYGTqiBvyURDi5Cw64Ey1fj6YIZmGLFsOqy7Di9/3EIJjkRKJDGNMrDybpOY+N71qW4EH/h73o/xFAZS3ns45iYwKvo+ccYx5/PJVJwzTsAT45DBSHm/NkOPn7ZX+G8Xv+BJVqF39lrqAGc0KJKB9RRlGdZ7rIcevzQb/OfmAv+xvsR/rC+wHFoknDr8t8V8Aq508IxKhfxMuTbvrt4ZrMYWZ/0agyMJlvUxFp7BCIvzfoNn7RWu+hqZ1ARQcDnFnw/aIJMac58h8QoM/t6eH/cpD5L9DZa8lYwnSidAIFCUoUUWVGVSjI7+PUZ3tnZEIiSeZhX+y/xkt20fe4+HcR4zlUIFQCkVdAw2Y4fGDNiM/WTMzsEgFHnVzFSGhU4x1ynmOsNf1mf4uV7ix3pJjCqpUYbUxEwqHCQ55orez8CwHXushg4vmjUqlWCmEqRSIXrkaKmIoSUV1mOP867Gi2YN5x2O02JiVA3OoDEDFBc4SUv8l9nJvW9Yvx6UBi3wtVcsvB/hYGDcGqN9hd78BMkX0PIplHgCxYnxxD+hxO5dtX9MPgowxG4/qLvv4P9XjKF3bOc2jKKb2vuubb8u9bvLPkXQaaI9By8z8onCnSVr+/tw0+deb6sNjKdhMDD38JUBgLoZUDcDXt39o7/piown84YV909ZjDEkiYLWEl0/oqrSKYEQiMl1797OMBhiFw3EfGq7Ec557EL/Pu5TcUq3ch5tN2K9bnF+vplYZbcpxijRJk0V8iJBWaSoqhRlcf/gBy0FSiSTHwZYkLEGjycGoNAaKvht7LclVmQ8Db3BMMZr8W79xXuPzabDZtPde19+m+X3rsUoe/3cbXpbBdCJ74NO/Is3iv9YRc/PXUrrtu2xqTt0PRlKmz2PmEkWjN8e62kKPAjjiOhBVCQaVZpgkaVo+hGXdYufLldwHpP0rko1FlmGwyIH54FjwvDriX8ERBmDnAym32z6H4EgHiRpk5yM7aTr++lnlAwaAIewALAf4uACuBgTQkWQDnK2k3lFf2MlBI7KHJwRI/XfXp7jp4sllk0XVEb0emT5HFcFFlmKPxwtUCQaiQwhXOH7r42bGQFPT+clnPfY9mSE/WK1oWMiOBZ5iu8PFzDWkZm9Upg7h0RKCMWRKmCWJZhnKRZ5hsu6wcvVFvUwTMdCCo5F+PeTqkAc+UbA523dN7bhm4M5jPO42DZ4vlxj2w/B50vg6axE049wnvpKnmh4UMp1fJ4fFhkEZ1jkKf71lzO8Wm/x94vl5B1mg1G590CZaPzheAHrCYSq0gTWud18mTEUSYKv5uQF+x9nl/jLi3P85eUFhUEJMZ23k6rAcZlPx0GJnQzxQ9Wnuv4/1vfcG3hijEFyiUQkyFwWgARiPwkmkHCi+xlnsB23MMKgkAUSkUAz/SuZHRDAlqHDy3YzeRS5vZPPGMN5V2Out5jrFIdJjoMkA2cM66HD83qFV22NSiX4X48oNjEadKdCwXmPv22u0FmD78sDFFJDve4d9UCKTT/kY8PB4OAxOIut6dEH3yfnPXk7IdzgQAbVAGnFSX6y5/vyifdjl6AQaYe/HjXFIcl++0RA/zOxY3Htl4NHY4gR1ZoBraHj0VkTdLX+2nfGB1p8+LDQrv3Uv0lWFAHVvXbt74e4Flm/A89iYp7kZFIsg3yQM45cKpymJVRgOs1UOn2/4gKpVNBcTOfy/cqFdg1wvoVzLTx2q+rWN7BuDeM2aMZ/xWBfwcOA8xxKPEWu/gu0jImFj/WuInYImfsB5Bs0mV+GKOWpvwVAxoWJ6GToHV6PYA5NUt30vtgflRBTNDf5IFBPFMHEljFGyRzToCM8PAJA5Ly/vuKzV37vPfugUlzBwt629//dWIdhNBhGWihIE4k0IZZK3A8y2aVVs/3jxfjuuLAwqNs9F3ZX4OvPP+8Ba8nnaScHe9Azsi+qIlBirYP/zIbGcSApJUdRhIS7VYPVqoU1DvYWPgrO+QngqZsem02L1apBkpDkWuuPu0o+DBZdR35kq1WDph3uzCYTgqMsUhweFjg5rlCV6b0i6uNAmoOes5LTNTlYi8FYDCHprhlJAnjiyZ/jJiZBTEAcRgszvt0P6rHuVtM92Tk4G6/Dh3t8WVh0iAbQvzWA5ENXvLdxzpGlCosyg3MeV96j6Qb0gwnjVUweXw/37N+/nCevpm4Y0Zt4H7JoBkoh+9PpEZ7MK/SGmJjee2LXMI5MkTwq1/raPOF0VqIKkjzJiZVSJgn+cLSA8x7fHy3wj0+OMM+uA/ecM6RKYpalsI68J6s0QaYVni4qaCmD6bSAh8LTeYl/+foUmVb47nCO01k5SZZt8Kq6qls8v1rjl+UGDMAfjhZTEt266fFvL87Q9JS6Zp1DohRSLXFQZPiHkyPM0xTtOE4LflJwkhUKiSLRcM7j7+dLzLMU84wkijvj7+sLtqmWOMiz6e/zNMGy7WhuwxnyROGoIPDksMhQpXryg4pVJhrfHs7J5qYf0BuDzlhadIzb0TspXCwpOJ7MymuvvV4RcIyEBMk5DssM/WgCIElMuKOS2E4HeUYyu9fuNcQe04Cn462EwNN5Nc2L3R5bP1ECxyUxno6CSfvryYhacszSZHpe50rhyYyYadH8PJUkufPO47DIcFTmUILjTyeHv+pnv+d6r9FWNBQfxYjRjRjcML0ORhN96y1qU8N6i4QnkFJCc03vea0Ga7Eeerxqt+isgXPk88PZbnW+CL4+c53ih+qIjOSUxnrs8LxZ46zd4k+zI/zD7AhznRIYYQy2htgpf9teobUjCqXxdT57n93/6MWm/3Ew5sA9w+gMakM3w9YOwYg9SOjixRQjKD3doAk4+VACn7u0n75T3EA7jP8e/k8gUXgPD4bgaTAe568BMs57bAOLaDm06K1BZw2sdwHwIeCHTAjpiES9LX1XBJP4ZMK+n8iwn50QTe733+vpH6Ztu5CkZ7mHRIh+5buYzSyAnIskR6Go//LQThX2UwmKy32/Ci33Fs53MPYKxl3C+QHRqce4K4z2JQb7Er15jsG+hPcjBMuhxVNk6s+Tx9Njvb2830lNhtHAew8ld7Gx0RSWB5mMgqAV7BBJG1OPpOeTKaN1ntIww2etDeku3iNNFNJEQQoxpY4BoMkzqK++GQSjQZBzjkxeJcBfA9393kBpAh28p/aJYBzpSO4RB8DeA8NoKIWnpnSVeZWF1UKOMbRRSoFUE0BmI1A1UBStDDTuCD7tMaABvDkN1AfwahwthtE8Ak8fuCaGjo2LF5/32DIGSCFQFgmOD8vJu2pb98AtFEzkc0WMkaYZsNl0WK4alGVKZqQfGXgaR4PNtsdq2WC1btE2A8bRTWDzbUoKjrIko/WT4wplmUDeM6J+Ap84hwQ9GXpDEdHbvseq67HuOngPaCGwSFP45M0LV8Q+dBgH89k9wX6LFSew0dPsISMPjO0M1fkNbJLHul6M0XMxSxRcRYEhTTdMLCjOaWHK2JAu+YDP/33LeY+2H7FsWqzbHnU/oOlHgAFVluAfTg4hBQ/ysuCzGuY0kVUiubi2QJVrhSIJwFMw9xec4fujBeZ5hm4ccVjkmOfXAQHBGDKlAotJkDRtUUFxgXmeQgsRfFtpvP50XiHTCt8czFGlGgcF2X7Q+I0AtAg8/XSxwjeHc3x/uMBRmaMZRmzaDs8uVzhf1zjb1OCM4Y+nh/jh5IDal6X4w/HiGlAS2ViCc2y7HlfbFj+eXeGwzGHmJYQQyJQEGNv5LoXPZUrRPmryMvr2YI7emGmcpQRHphRSRdK7RMlr2wCAMknw7cEMsywJaXMxgZDGb4xFppj41fcXiX4r8CQD8KQER64UjoocPxwfwExSQyAJAE+mFVIlkchf+3opwcG0mtIQ4/GOJITdM4pYU5kiBlmqJFKlrqXe0fYEqmDeXiYJnsxK/GM/YN32WDUdVm1P6aOOxt8nMwKyjqsCizz9VT/7Pdf9GU9gEExAcYVEJHBwYG4HGnBG1Oze95PszsNDcQXF1ZS+tF/GOzRmwGroYL1DEnxupoQ7xrAaOuqYwez5SVYikwrbccBZV+NqaFEojT8vTvBdscBm7LAZevxcr7Aaejyv1xidxXfFAsY/5HSIfXokwHzU9jr0YUXRwU+MrQiK0CdDRDl2TJ4I8HzSPQgsD7kHAu3/G/MMYEQd5YHutM94kpxDCznpZffLeY/WjLgaWpwFoLILZuXRlDtWnMR6tpMIRWaY8Q6jsxgc3TA8MK2kTLyLAOhRWiC9l9rg6GE2MafYr6WM4VmhuZgYdknwlJpSBzlHImJf/wCMJ+/gYeFci9FdYjDPYF0djwRGd4bePENvfoZ1W1jfgjE9Se1S9UdwloGz901m/G2XdVEGQZKvLjzUnPXTqr8JyWCcc1jL4SQxhMbRYAiAjFYCXgmS3RhLhqIT6ER/N0FP5D2tCMGTb003mCn5yDkyGDaGQC0GBJkDm95jnYdWIgzYBPZHsdYFICcwMawjtouUBA6JaTAV0mZCR+8HAp6W62YCkrJEQQiPrifzbyUFEJhfxlr0g0HfE/CkrIOVYmJhRQBqX1LgX/Pj8XvtNY+T3Q9e3mPHtvuMjKf9Z4aQHEWZ4uioxHrToa57yIvbMX7IjJ52omkGrDcdrq5qMBDoVHyU1u9qGCw2mw7nF1usVi2adpjA4duWkBxlkeDkuArAUzpNqO5UcZzgKQ3XM5rAWE/g06YfsGo7XDYtAI+jIsf4Fp8w5xHuaXSvonvf48X4oSoubuwzXx9qRcaT2FtI+OQ0+y+k9u9tnHOkWk4qj8tVQ6zmADYwh73zf/1+/FvA9pzz6EZKHrvYNmEi301+Pt8eznFQ3H88KsI9TksE8+6b38s5R8I5GZwjAW5Yf+UcUBBIFcndfrVPYc4wWItN2+PVqsaL5QbfHMzx9aLCH08O8bdXl1huW/xytcFPF0v8eLGcgJc/HC0wzxJiDSXqRp+9H8+XWDc9LrctkTMSjXluIDn71WcYYwFYoan/yRvafZvKE4U8UXgyr+71+beV4By55si1wjtC195aUf6WgQC29624PSQah3uvn28avFxt8HK9xbrpsWk7bExPgOHRAj+cHt64zd9rfZhlPk+TcOMNRjfCMgsODsEEMpFhJmfIJP1W7M2gE0Bm34Wi9LmneYX/MjvGP86Pp8h0D+Cqb3DVt1P0/H7akkCUQxHYoTinZDEwrMcOiRATBfJhP76BOHDbH8IxEHMmFxqJkLA+gCfOonMjektUzEJo5DLBXOU40AU0lzce849ZHEFGJhR6YeEQYjgDe0hwFjyO7OT9dJezwthOpmecRWeI8eQ8md4DQG9pYh7HPwwk6bzqWzRmxEXXIA3m4cuhAQPwNJuFfkRa6doMsN5hM/bTexkDVkOHVCh8lc1QqgSlSiAYQ2Mopa42AzKhkFt1zaCc5HUxm+1Dlw8eTiYk1r1AO/4Fxi3h4QDvYH0L6zbwsJBiDs2+gmA5cv1fkYivwFkOzhQYe5gy1IdQ1lLk8bbpMQyWBn9Br9+G1UqwqGnncC4YxFqLYbDoA+OnyBPMK4pJ3jYDNnWHbTNASwGlBJTk02p3ZO8BdJaH0aBpewyjxbbZSRvcngwuSuLipwCgyBPMSgKURFiVZgxouxHLTYvNtrvmLUUra+EeHLbHOXnvpFpek+IBOw8K58j8e9tQmtO2ISYY41E3DwzGoG59oM7voscTLelHyTd78HgCRJz1gYH121wJ/qz1wA4pSc0SHB9X2NY9Li6392L8dN2I5bLBLy9W4Jwjzz++j10/GKxWDV68XGG5bO6VqkeMpxTHxxWOj8v3YjzF8kEmTlIBi96Y6VmcSFr0iyv8b9nIJLeL8uDH+rD1pRBdGNgEPAmxS5h6rHfUHmCnlcS8THF6WEErOTGbE03Mk4eTMPxY71OCMczyFN8czEhK6RzqfoTzDomStw6LiCl4DECZJjgsM/J6Utdldo/1WA+lPgjw5KPUyBsMfgD3dHNMRIJKVFioBfk78QSKK0q1e0OpwApZ6AzfFQv8y8ET/O/H3wYJFgFG/7Y6w2DPsBl7GBeBDARt6c6DRzAWJFoMCRdYDumUDOaCFO2hP8qvC75oXpcLjcOkwFzlQQLGYbzF1VDjcqhhncVhUuJQl5ipbEpE+/SwU6BtBsPv3pEOdvAWgnFoQcyfwVryl4C906r6jttF+2VCCt7gCOAy3kEwPrGY9ieuvbVozBhkimxK/JPBl+lpVmF0FqMjNlRtBqzHfpocyyijY5R4t9ApZirFTKcwzuF5s0ZttuitQS4VOqtROA0riYUiGUfCxUfqfVFqaWB9jcH8gnb8CwZ7BsDCe0vHjQkAAkLMkcrvkIQfLZ9C8AwIzmKP9eayzmPb9Di73KLrR6SJQpYoeHg03Yi2HcACfT5LNIbRYFP32NYd2n5E1xNb6WiRw9gKUnBcLmucXW5xsawxrzLMyhRVkUyTDsEx3Q+8BwZjUbcDmnbYadaxM9V0zk8MqkgzF4LjwFhIwZGnGpCYwKemG3BxVePVxWZiSnG2k8ICUUrBaHBceWgpJs+0CDhFDMpYP7GhjAmMCQYkWiILksFhNOjC8YiSPiUFZiUZ+JOPAgMdgd017BElKMH34otYTPiC6gEeShmAp5OjEk3d49mzq3t5HPU9AU8vXqxQ5AkODz8234m+c7Vu8eLVClfL+l7AkwgeV8dHJY4D40ncY//3K15DY1iZHwIABZDETkkBHdiIN40fdtciAcH+EQT+sPUlHcsJQGGT1O5x6vvuis9OzomBOStJcpclCtu2R930JHni4lG++BspwRlJ96SAVhJ1P+KqbtENlDAnbmnIXyQKXy0qSh+VxNRKpJz8kB7rc9TjcX9bvXeqHUXU28lc3HsPi7Bi5hOkPMVCE/AU66ZHkeQcqZAolcZJWuC7coE/z08mmZV1Dld9g//kl5ORdGcNemsCwOBD8Dt58kguICEAAeRSTbI0YgO8z55//OKMQTKBhMvJtwgAKpVioQsc6RKSCygmwr8TkDE6g0Nd4jSdoZTptQnjpy7BGBKhUMqEzAO5gbQmnGeFTEh0wkxtS4SECrK6yJQqJLG75K8kaAwyrMamQk6yTOv9BJgwhhDhKcLqffQ4suitQe/MJOFhYDhIMpRJgeM0x2bssRn6AEBZ9JZ+x/cqLnCU5pipBAcJ/a5Uis6SQb5gfDIdjyysiZsXpaNgU58vpKY0vg9iLg4EMRI8BljfwPktvCfgifMUnCUQrIIWT5HKPyHX/wTJDyH5HJwlH6gNX1b11kyTr9hXGDBJI/fjYKd0qk2HuhtQFW7yJqqbHuttR2bfIJCGWEk9LpY1mnZANxjyb2BAligUmcZq0+L8qsbLiw0lZSiBPNM7qZNgxO7xHnAO/WBQt8SSMkGeN0lFOYdzfmf6zRl5TykamPSFmTymOKM97QeD9bbD2eV28l0SnCMGNDAAPLyWJgqJlihzBxG+iyQ2bjJUN9ahC4ynfjCTaXoR9klwhq43aLoRdTtMJuMyrJaniXrr83sywP6MqWu/+XpAGALnDFlG7KTNtkNZJkg0RRg7j1v3ga4P7KNXCkdHJbpuvDGx7X1qP6mJvrPFq1cbLFftnYCnKD9NtERZpjg4KHCwKJAk8taTk9caRr9AAPpgLRn7GkOMJ2PJE5ETM1ewt6cQ7diH+yDwY33w+gIOKmPRfyb6en7uFn05Fe1EBCfGb5Elu2epcVBSQPwOGCyRyGCtw2gM2tGg7gbyqtzzOIoLaWLPisU6Ym+aIGP2+/8Nn41peLuxzc7f0vn9QKaw0BeegeRbxCZAZ/87jSM2+z4jfTSU6N2PxCS1r1m78CCpKxINKTheLDeYZSkY66HFrwOV9ivaJsTfknMUwQScPK/E5Nk0hdlE38a4YOd3aiEfDlD0zhJ8l9AXLUHimG58zU8zbtv7XVjOtTTAGySCN5VzHsbROZzOBYuszzgWDdSDcIiundtwfuN5iePDHWt0TyUVjhdjmI6n3/tO+OCYvNcnXv/Odhipv+31IxOeqeTh1V+Tx+63MSYjepCKwgQfv6lfYupQ0zEVYueZzIDQ92IK7Z5P6nS8MAUYTSFZYY7wuerewBOZVxt0tkNrW1hvIZkEE+RD5OEpue4eTx7GGBwQ9LFmOsjWOXTWoLEDNuOAy77Bi2YD6z0u+watNWTQe9Pa96QfefhP8FRoHOiCAAxENoPHTGUoZQoVEtAi66mQCY59CeMdZiqD4uKzY66Sc8x0Ao8KM5PCOIvRO5LgCQHNRQB1CDyc6RQHSY5USBwmOTw8KpXgSVZd82wCgkmdTHCcOmgusUgynI4DRmehAggV5QFkxD5iM3ZYDz2EYChVQqkPXEAx+l0qjTL4QwnGMViLrRlQqgQHmqJXadvkPVVKjUolyKVGJhRSSQDFt8UciRDorIHitJ+JkMiD3C6VCqmQSIXCgc7gCo9MKBylBWb6fbXIDIxJcCSQ/Bi5+mcwpmHdGt47AA4MKoBPKZQ4gRZPIfkhBC/A2MeXnTzUetVs8ff1Ej9tVyFulRhxP8wO8Kf5Ib4ur4cRsHAzZ6CHRjdQupZz9DktJbJUoSrIi6XtR9QNSY3TVMFajzzVMNZhuW5RtwOstRAhMSUNzKDokzSMHlpJkrcJhq4f0XQD2jCJ3TfHd5bMyDnnSHSk8JOflNYipOI5OMfh4/NnT57nrIMFpsEEC09c7yi9cTR2lyjHHbp+nAaHbTei7w360aDtxpDgRabmIvhNjcai7ckTSysBwVPyvRotmnHEbKRkxjiB+dUMJiweEOAVBgEP/7b+WO9RjDEoJeC9QlGkqMoUVZWiKBIMI/ms3SZRbegNVpsWjDOsvj5A142TZ9mHXKCh/kkDya4dsN60uLzcYrNp0Q/vTuID9iStqcR8nqMqU+SZRpJISClw37FjvFx6Y7AJRuKbrkc7EvhufRgAewp9sW85rpHxtJuA3K9Nj/XbqSg9f6zblQemRRRiR3c4X9bY1B1GY0O0OzBNiH/DRX5PBuu2g2/pntwNI1IlYRyBH5mWWOQZFkWGItkZQq/bDuebBuebepe+ix1QA/gpDS0aYxtn0Y8Wdddj2w/oRzNN6p3fTexTJbEoUixykrKlWiJTEnU/4HxT42LbTKDMPhjjnMfL1RZ1f3eW601Fx6fHuumw7nps2x6brsdBkeF0VuJ0Xk6MVSU4utGgHUY0/Yht32PbDeiGEdhjJJoAfCghsMhTLIoMZaonT6h2MDjf1DjfNBgMPb88QOO8kEiYKIlcE/v/uMxxXBU4LO9m1NQbg4ttg8ttg24014Cv0e4z+PmUyBrBtKMyn0y9N12Pq7rFqm4xhnNo3O78SM5xUGQ4KHIoKcibqesxGPvr7wyeqSIClhOQ56b0PQ96Vm77AZfbFlquYCwlGkZQiTGGozLHYZkFhhr5RsXkw2Xdou5HjAF4s9HXzXsUicaiyHBQZMg0hVFpKbBqOrxabfFyvYUSlD6rpSAwytGzO57DVElUaYIqS5DpLxB4ggdGP6JzBDxxxiGZhGRyYkGJe5glR/GU94RW9s4QwAIa3PTWoDUjtmNPwFO7wegsLvsWrRlfY5fc3PaHXqlQEEmBUqW7lVOQSbXixIyZjMMZGWprLkEG7gLqDamBn7oUE5ipFKmgB4YPABpJI3cXdmQF6T3j7cOEoZAaT7Jq8kbaL84o4VBxjplKJ4Nw5/3kH7UvDlgOLZ7VazRmBGccC51ikWTIpQrsKzWBREoIGOewHnrSTcsEiyTDXKcTYJQKOb1fcgEZZJ4OHgmXOEoLWO/I8yCgzDKAVpMcdJLraRynxcQCe7/iYJAA41DiGJxpJPLbkGoHUC/iYEyAQYCzFJxnECwHgwR7AP3mc9XLZov/dv4C/++Xz0gW6ggE+n99/UdUOrkOPLHd6i5AwFOcTFrrwDiDVgJ5qjErE0jBiZ2UKkh5PeXRBuCpaWnlRHAOpcSUYDeOFsY49KNBoiW6RE4AT9MS8CQl+UHxILEjGWl4UAryi5qAJyUDkL8zrAWi8T4Z2doA33PHJ7+OKN/zzk2+E6OxNDDsqS2cM5ISDiOGgYCnuh3gPYJHhZyAJ9YTC0srCZUJrLcd2t6g7QaMxgYjdXZtcLRfOw8r/+57/mN98cU5AU9CkOSs3AOe0AwwI/Xad1U/jFivGYbBUsJcN8JaF+SlH86sNyYvGuPQtgPW6xYXl1s0zYBxtLfaBmMMaSJRlRkW8xxlmSDLNXTwVnsfoMz7aCbe47Jp0Qwj2nHEYO002fIARrsbU73x214HgR+vxN9x7ZlpAr8N5+tPUZEtYT2G0RLwdLXFuu4CQ0LsFoB+4+W8RzcQsNIOI9phxMWmAWccvSEG0UGR4tujBb47muOwyIEc0FJi3fb48WKJf39xAessnMcEHhhr4QH86eQQP5wegjGGfhwpybMbcLbe4mxdY9P1O7sC79GPBr2xmGUJvj2c47ujBY6qHGCUcLbtejy7WuOvLy/QjWZiTkX2GmcMV3WLpr9F/Ootqx8NLjY1ni83eLnc4OVqi5erDf5wfIB/+voEaUj0iyl1/WiwajpcbhucrWucrWssm3baT3oWkPdoqhW+O5rju8MFTmYFZnkCKQTqYcDzqzX++vISdT+ExQuPbTdgWbdYNR2qLMFBkeGwzPCn0yMoKe4MPA3G4mxd4z9eXWLT9RM7zTiLdiAAjRZ2BbQQe+fX4YfTQ0ghCHhqezy/XOPnyxUxekeDwQRyiiObiO+PF/jDkUeeKLxYbfBiuUXTD2T7wClFMfZBBupjWood+8tZFInGLEsxy1OMxqLuBlzVLc0h2x7Pr9YYjMVgCET7ISQWSs6RQUFwhtFaXG5b/HixxMWmntprrJvSro+qAt8fLYLfdYpc0/h51XT4z7Mr/OvzV0i1QpkkKBI99e3RWlRZglmWYpGnOJ2V0FIge0uy4Meu92I87f/m4FNa3ehGeOf3HHhu2RjGkUqJSiVgjGE7Ugqd2LsJrIYOxjlIzjE4i+XQUvyooYs6dtAITMVv34w9BkcTwy+BAqy5hOa3S9thYEgFydceUgnOkYWL666luECpbpZ8ccYmkCr6u0zU0SBju5aIxDnWQx+AO4G5TnGSloGxRJK+COQBwJUK0jcuJsP7k7RALvUEVsV3vz74zyWxhuJqSwTbXk/qAkLaHT4cy4i2HUElBck/fOrEb7XWfY8fN0v8/85foLfExJOc4/tqgf91eHrtvZwBSgqkiYS1KkjQWPg3BilJJpdnClmqATCUeYJZkcJ5ByloAj2OBt1AKW9RWqekQFWkKDKNLCUfJNXTqghNNgEEE1clBbSWSBT9jtRv6wKAFVLzlBKTYXmWKigldqvSoTsyBFlPpAJLGvDGP1MyH63CKBlfow/HNLtIs6YNEtNKBR+oLFHIUgUpdul18d8TJUlKEBPtIn3+BkpHnNpOcfT3nOtGlsvkRbL7z++2OGeQSpD5vNzJCj53sXBdAUCWKpRlisU8x2rW0ip5NwC3wHPG0cK5AX1vsNm0aOoebTcGM38Bzj9MqIK1jph//Yht3dPPpsMw2lvLAjlnSDON+TzDwUGBqkqRJnT9fohyCNIGG6Ub1yUZ7m0M8msVmU4f6Fqcutvn73efs6QUIVWUFgC+HM8k9ns/dXeu+CyLi1h126PpBmSJCuzGXVLgA7gdf7SaSAdBqsT5zlC9HUY0g4FxNngZCfDgBVmlxGzqBoNtt/MAJiBrRDsaWOdQpQnmeYpcK/RBYrxpe7xa13h2ucK67ZHqXfJb0xPY0Y8GidwFnnDGCHgKjKdnV2sYaynVnbNrwNMkx/pARYEQZGWwbDq8WG3wt7MrKCFwMivRDYZAGRUsWKxFM1Ba6dmmxrOrFS62DVJFbLG4YNgMBokakAafqDhOy5RCO4y43Db4+XKFZhhpPCkFlnWLV+stXq1qLIoU/UjWN8dVgeGWCyz7NVqLddvj5WqLVdMRU0dLDKPBqu2xajooQTLFMk0wGOonTT+EpL0Sg7HYdD3OtzV+udpMkjsTfywxu4pEI9caaSfxYrnB86sNmmGYGHTG2ilhUTCGMiVQxziHph/QDCOOyhyCc8yyZJKut8NIUtCAW3TDiDYsTFdZgirVSJTEzJKX6WAsVk2LV6stzjZ1YOg5GLuTHTLGiE2mac7LGZBp8gZ7udrg319eYJ5nOK5yOJ+jG0l1MMbFbCGINWg/fwDIvYEnxhgUUyhEEQ4C3RwcHAwMHIL3E25/sWVS4SQt8UN1CM4Yfq5XOOvq6d89gO3YIxESP1SHqBQZ7zZmAGcMM01eQrUZ8df1BZZDGxgnwGXX4rKnv2shA4vqN3z3/t3V7mH8pvMqQIbmuSQddCJkMAhn1Hdf44ZLRuyrQmpkQkIHaaMI0sa7QKqRFfPY2347xTlHkWscuxJVkVwDL6LfTJqQT4PgDFoLzKsUjAPe7XxbTGBExMQ7Y4gaO69SzKsMefC00UpgGC2yVCFP9QQaETBlJ4CIAHoXpENs0pPHtDgpeGA/EVj1OniUBPCryDTKPEGe6ZBqx6/5BXDOUIT3Rd+yLLRrVqSoymRibxWZBhitFim1A6dY0NU76yZ6e55paCVR5hr6LZPrfe+69xmIi3A8IjjGHgjI8jmLc4aySFAUdP4ju+YhlZQcZZng5KRCXfcYRoP1psVtkKcogQM82nbAct3g/HyDqkxRlskHA3WGwWCz6bBcNVguG7TtsItEv+W4TwiOIk9wfFTh9KRCVaaQ6sNQ5BljyKTEIsvAGMOybeHgycsQBDimUk6pdu/qAREQv++DTgZgXAoBxnfX9u+5lBQoS2L1ZZmG1pQK+li/3WKMroVUK5J4hfRYkqTz3zToREXXvQgeSF8vKnx9OIMWEk0/hOQ3sjN4udqCc4Y81TiBR5Ul+P54DiX55JXjvJ9kaU0/okg0utHg1Xo7KUZieQBaCjyZlXi6qJAE0++mH2CDL+XZup5ALcEZti3Js7z3mGUpjsocR2VOgQ2B6XK+4RNY8SEqVRJHZQ7GMAEb66ZDmWpoKd55DyYvUI7jKsfTRYUqTVCHY0tABcNl3U77SCCdRW/IAzVVEk/mJZ4sKlzVLeaXKTKtKFUvyMFmWfLWMdxtSgoeWFQp2oEArU3bIVESR1WOJ/MK65akZpuuRzeSdHzZtNh2PfrRwHmHRZFilqXEBAo+hqMlSd3ZegvrHDbh/ZJzVCkxtwZD7N9t10MricMyw5N5hbof8HK1xbYfrkntog9TogROZgW+PpjhdFbSse0GdMYglRJXdYfBWpxUBQZrwQDUw4jBWCjBcVzmmOUpOGcYgkeYD7LPv58v0Y1mMqd3zqE3Fs0w4qDIMctSfH1A6gwfPIwzrZCHn0WeIVGfV9lyf+AJDJpr5DLfTUjgYJzBwIbJZPwupq+5VDjJSvxgRjxv1nhWr/C8WYeTSkTv06zASVbiaV4RcukdGjOAgWGm0on99B+bC/xcL2mSA4bOmgBEEctEsptTWh7ryyuah998RindkHyWZJD0qSB5mySLe++fTL+VRirU1Gf49P7bt+uxfntFgEqCRMkb/U9EYCRxzqEVwywASdMtkYVVTrfnrRT0bhEMkZK8mcqCjEYjiMQAZInGwSwnRh2L0dVsL+GNXQN5diyiuBrHrk3uhODQWiJPFQ4XOY4WBRazfPdZsMmskLFgkijJSy7PFI4WxM+M7fbeo8gSHB/Q6xFs278q6qbHpu7RdH0AsxIIwVDk7wYAXiNs3auE4Ei0Qpqqie310ECWT12csWmymwdZ171MrD9iCSlQlSlOjitstz3WGzLzv01F3w3nGJp2wGrV4vxiCwDU/++mDLixhtFivWlxdrbB1VVNwNMdPZA4ZyiKBEdHJU5OZqiq7F5Jfq9XvG4ypSbZgvcenTFoxxEx0DRVEiqYmb5tY/tplve5euJkO0nUZJrOOfvdgywEPCUo8gRZpqCUfPu5eKwvvqI8Kk0krHNItESiJZQMkvfP3cCPXNGKQ3CGRGl8dTDDP399iiLR2PYDtt2Ay22DV+saL1dbCMFxUhUT8KOEoL8j2vr6yZvocttMQE03jMi02pMc0Y1ZS4HTeYk/f3WCeZ5i24XvrBucBWZPO4wUniQlNt2AYTSAB2ZZij8cL/APT45Q9wPWgaEzWodN239Y4KnKUWW0wLdqOpxvahRJQsDTLUpyjqOqwD8+OcKTeUX72fdY1h0xmNa0n0WicVBk6McA2BiLoqDz8i/fnOJy2yDXtJCfKolZlqDKUlRpgkTeF2KgsycFgUARvNkGGWQE3v5wvMDLADpZ5ybZ5FXdko/VSNK6RZ7ijyeH+GpRkaR8GLHpevxytcEvyzWWTTd9c5kSk+pkVqA3FtuuxxnnSKTEYZnju6P5tP3oLRVxDh4We7Ukud+fTg/xp9NDrNsem7bHuiW548WWWGKDoZRxLQWafsBgDJSg/vfHkwNkWk1Sv/NNg1+Wa/yy3MBYi0Weki+cJ4Cz6UmCOMsSfH0wm7yekpBKG+WD5A31ecdz7wV7CSaguZ5AJxc8bYQT00Ql1m1ul6lQOEpyeO8xOIOrvpk8gHzoiJnUOE1LfFPMUZsBzTigtQalJEq49W4yq27NeA2Q0FziJCtxkpYoVPJZXd0f68PVbVZFJefIpMJcZxCMIZcaeo/19LoELkr9BmdRqQRZSEWUgR11m+/8va/W/pYrpkwlgfYK7FIuJubd3vnnoAcSEvXG1Kd9Tty1FTjvoaSAv/a+sO03KFH3/Zp+9f53lFYCRaaxmOVYzHIczOn3/nZu2naavFlOm73htX3GByXvWXTDCCXl5EOVZ/rdaSh7krz7SlDSRGE+J/8cFSSJMhozWjslBUYZ0QTe7QF4wL55KaZ0Po8doDipASNIGD67Y2tReIYL2xE8MjFxLUYlyqD2/XZie1iIMiHvLgfstTO+d79Nzu+89lighcdUwTzXyDON+SLHrMqg9IdhAX2oksHn6fiowmbT4dWr9Z0AmXg+23bEctng7GwNrQjM+lA1DAbrTYdXZ2tcLRu07Xgr8/NYEYwpiwRHhwWOj0tiZL0n8BTvBT4YrCJMDqJR62gt+REKYglL/g7gCdhJySP6dI82ZanCIva3cC2KzzxAfp/yHhPjIno93vXQSCGma/HkuEJZJh8EeHysh137OUje76Sw8d7/Wy7G6F6kJUmsDooMp/MS8yyAQD0xR882NdZdh6pNgreSm56rUnDsqyDiJFwJgXYc0QX2DAuge0xijEm+8zzF6ZxMyCPw5OFxsWmw6SjtepYlmOcdunGE9QSSlInGYZnj64MZNm2PRBKIflW3UB/wXqaECFIxYJETyJNpYju9bZEognqSc+gAEhEzp8KmG7DtEgjOcVm3qAMQ0o4jmVxjJ78GPPnWBpAlVQp5oq4ZYFfZ7UGwm0owhkxLzLKUyANKggcLiTJNcFjmaIPsz3nyh2oGAvw2XY+6G9AOxOICEBL/OEw4TsY51P2ATdvRMQ19IQJo/UjsLsHZJO87LHNY55EosfMXDRclD++Lnz+uCnx1MEOZ9tikPTItse0G1P2AZdMiVZKM6lV4fRinRL74nUYIGEHt743Fuu2wyFNi2YEUFlFGKDhDmWocVTkyRbK8VD0sCx7gPYGnqRh5PEUjcc01NCNjM8HErUVJWgjMdDoNhuc6w/flwRRnyBjDcVrgOC2w0CmGvZj7GHs5OIv12GE9dOismQbYivPJn+ckK3GalVAfLLr+sR56SS7IOyxIL1OhiPUUJHSvVyok5prSAdPgJRU9nz5/XuBjPcS6y6Tirj3oY78fAFKtsJjl0FqiyCmq/k3b+RC9Px4rrWliLSXfrcqEBD75NgZLYFlEFhW7J9WiLBN89XSOb789RJETwydJFTYNUfO37TCBQQB2q0ZSIFECiZaAB5p+RBtSaxJFnlUegAkpLPueOUrQoE8HTyseIqHJY2FEPxjyrwjvieW8x2Ao+c+GQXOUUypJHl7R46IfSLqYBEklGVLSM3K0lEporIOSNMBXIUWRfhS0JjlmlmkcH5eT5POhlJAcZZHAHJVYrVsUJfUhAlVuzyrqOgKeXr5aoyxTHB9/OE+8YTBYr1u8fLWeGE+3rQgGKiVQFBqHhwWODksU4Vr5UOWCn8pgLZrRYNPRoL1INJTQUOLdATEMIap58qC5ezs4Z5jPM3z7zQGePl2gyDXyPEGSfLlhF8aR+ewYPElVSMW9S3HOoLUk+XGV4OS4gtZf7jF5rHdXDN9o+hGbpocaOKSiZ8VBld0JvP4SK4JBeUJspAgMxec9mU3HBZ/ggRMm3k074lUwCY8LMoIzLJsOq6bDut0xWwTju9AERknbuVYTmEL3vR0gJTkHGOA8eQT1xkzeTYJz5EESGRfMBOdIlESRKCSKFrk/fxGYkWlF7ZMyEDDoOEXgjSwjfAhronGEcY78ORlD0494vlyDc4a6H4JZeUceWIEZVKYJ9LsWD9/VWrYDEqUQk2eWYHwCkWKbGDB5g9XdgE3bYxkM1X+6WMF5j8ttgyGk1HXDiFXbkcVDoq8tnghOYVBWeAhB2Ibg8TvF9J2vDzoFo2O6AwHp32UAozKtJouNdiBvqrqnPrRuOyyDvFEJjsEapEqFJD+LbQDRov+UCsqHiSEYrptUShRaQ4Vz+RDrgzzBGNgEPDHOoLiC4oSy8Tt4KSVcQmiOQpKZ8/flAr212M9JSYLfjuLimvllrM6OOGtrnHVbbMZ+MhXLpMZJVuA0LTHTKfLAYHms30cpzifmEl2ofJJhvokNkgpFWl+VTBd1ZCA8ijQf67dYaSIhJUdVJpP5+ceuREli2AR/qMgA4rdhWTCAcU4/97wkyyLF06cL/Pkfn2C+yLGY5yiKBC+vNnh5tcX5ug4+XBYOQBJS+DJN/l1llsB7j1XdYrntwAAUqUaZaTgP9ENMJ7GwlmjZqZbIU408mMbGgUzcxrbtUWZE9872mGTWeTRhtWw0FjwMwFUcpCfkCbJp+ikNqUjJh4sxNq2ed6NBN9BPtteWKk9Q5QnKNJkAPS44Ei0f3GRXCo6iTCAkx2rdoCySIGsFnCPw6TbVdQOuljWSVOH4qEL/ASOvY2req1c7xtNtrQcYp8FvlNkeHhQ4OixI9vgBGS9RKjBai3Ycsel7rLpuWr2Pk7zQfd785HsTCHzH4pxhPiPg6R/+4RSLeY75PEeR3xww8tCrtwadNejMCC0kUimR3TUAhmHH4ohBEl8wGPdY7y7viQXcdAM2TT/J65UQ6AbzmweeovT3V8AT8GtwxDlKDg2pZld1i7+fL/HvLy8mZo8UfDKC7kYzTdwzrYiV6CPYReCRFAJayum+J9ivwa7Rkt9ROxC5gXyQ9AQwMQQZv5T0+juYSJ+qGCP5bqbVtHgW93M6XmE85byD9wS8JVLAWAkV0hWbYcTzqzXWbU9Jbv2Aph9xVORIlMRhkSFP9Adg52ICfCL4F8c9UTYm9saK1jp0o8V2T+Z4uSUwZ9P1eJatdz6LoJAgzsjDygbZGgMmsNH6IFMLPqf0nXzHAn7tUSc4mxLjdAD1GBB8nwiQ4owH4GlE049hPCewbsmbqhtI0kgsOTmxqqhdLPRdGZIusQew0vFIlESeqOn1h1jv9QSz3mJ0I3rbTwbNzpOpOHAddNofcN00MBGcQ4AjEbh30ldvzURrzqUmCpp3yAUxnU6yEplUEHi4J+WxPnwJRg/v2/YqyTkkOPCITT7WO+quE627vP9jbvv1ogSlj9/hr6VNCkq2u2vwJYsrkXKXuHeffZdKIM8UZrMsTO5LVLMMo/BovUXrKdLWWAfvSY6opUCWaMyKBLM8SLM0h1cc3nlkiUKaKJogKA4/MqTQ0wQiDoaF4Ei1nNhNTHNAcYiEUwJgQgPZKNFx3oMlHLznGI27ti0dE9msQ8Y9nKTnaZ5qpImC2Ds2iXXIDa36FakicCol0KnKkmAY/7CLcz55T5EpOP1sth3G0WIYzK1YT31vsF53kHKD9bpF140wxgXw8+4gShzUxpS9zabD5VWN9aZDP4y3ahNj1M+SRKGq0mt+W/cFdm7+sl2aHIBr0oGpre9oczxWUoqwOnwf1hOD0hJ5nmA+y3F4WNK1WH046ePbygdLB+tpoTIaxpJ/HrWPI4xRGcloI8uCJqc8XGO7fa/HAXbo0Q4WUkkUOsVMx/2hiU/8LuvdLrwkbD/KYmM7PICROVg7gjs2LZw5+De2Zfo8aOFNcg7JeGBiOVgfmVjigbAxft+1n+SqFZmLp3rcnce9CfP+feS3No2J95MoJ4vBJpRbcF2y6kDpbu1gJg+dVWA3RbZRynfhGFH2Hn2DI6VhB3CIIC9mOw/JvWdB4NOGJF26N8RzERnF9Ofr9ZCgQs5Y8O2jeU5cSJ8sBHbK/gmcieDLfl+LzCCu5MT4OiwzzMPilZLvYK3fqvasDdjOmmACW/ZeD2+f7HV2hKQQtBNAozini5K6mF4YZZxhM9N3vul7p9fe0GK6d+/61rV/m/w4YhvZ1Mf2dpn2TfBrXkwxlY78vQoUyfVkdTpPbGJlPeS6N/Dk4WG8QWtb1KaeDrLzDsYbGG+gmLrxBHys4oyhkBpIgVIl4aHtoLlEqTSlk93Acnmsx3qsx3qsh1+MEWglQ6QvRY3ffTvOUXz1OFpYsxcz6yPVHCC6fRicYaept5a8N+JAREuB0djJgNM4krSNxqHINKo8wUGZ7ajgTQdrCeSJq6EiyPCc9+RP0I/Tih8YMBoL7zGtvsWBXd2NMLabJifx+dYPJkgBwiAx0NZTrVAKjjwAT3lKPgMfUsb1MSuy4iAxATSHhwXabsB208MYWgl/Vw2DwXbbgTFgvWnRtAPG0QS2H5n53qWco740jhZ1PWC77bBet2iaHuNwu2hpzhmyTGM+z3FyXGE2y5Ak8qNEqcfVfC3IhJTitRUEJ2lmTG/y/mYlKwuD5OiPxu852XDOwxg6dta6W7PDPkR5IPiCGnR2RG8MemthnN3JPRjJGDIZrs9xQD2OYIyk+amMackAGMNV1+BVW+NVs8VRmuNJXu4CGkCTkMaMaM1ISVGCZCqKB+8QEBttCJI97z20oJRBzTn5cHGO0VnU44h6HCAYRyrJFsB5DxOAtEJpVDpBqTRaa7AZejRmRBVel/zhg82/6WLxOmJIlMCsTPHkqEKiJfrBoB9GaH3/59yXVmzv5101WItN1+NsU2PTUbBVphWOyhynswLHVYGLLZmLX9XtW5kg7Pp/bizOiGmcKok+JBG3gVFlHD13rCM5XhPSyqy7fcL7JynG7oxaEmjnkCmJp/MK3x3NoQSfwLzDMsfJrJi8pj41uSMyi8qUEvaqNME8z/DNwQzfHS3wdLGT0jNGYI7kHIMxeL7cYLx6v3NknSNfrL1zTpYLZHzeDiOcdyR3TIiZVKTEiKtSjVmWokw8vjue47ujBap0x/glUIm8F+dZinlIvdvVl3NjeC/G0+hGtLbFxmwmppOHJxkTOBRTewiwv7Xk7n1KME5JZFLBeepE3kcNJKG2j1Kpx3qsx3qsL7gitVjRhJfSfu5+X/fewxgCC4x18G5nFO8dTYYZ6LkSJwfe+0DvD+BGYHkoKWCdRx/NS60LhuEeZQCevj6e4XLToukp/th7ko3F9JfIXurCZGO0bvJvkpxPiziCs8kPy1iHphum7WUJUbEBYBgNTB+MKiWthBWZRppIVFmCPNHIUzIGvY288SEVAWmC9qVMcXhYoq4JdKqbHvYWOE8E5kZjsdl0aJsRw2AoPeweiWrOeYyjRduNqJuegKdNh6YZbi2RYYyAp4ODHMfHFaoqRaLVRwlDISBSQHuPRMppRVWGyUQEnt7VXhmAJyXjyvhdjx0Z4htDslZr3/29H7K89+itxXbssR56bMcB9dijtzaw4zkSITFLElQ6gXUOV12Dy74FA8NMJwHA4UG+D7xqavy4WeKnzRLbYgaAIZN6Ykw477HsO6z6Fo0ZUeoElUqQBmDLeofROjSWwCl4SiHMpUImFRJB/pOtoSCey66F4gJV2I715N01OIOjNIfiHKXS6MyIZd/iqmvh8gJaSBQPz3/2d1XEsNgxOWdlRveBRGFdd1jX3SRL/33k2kVQ5N17OxqLTUvAUzcaOA/kWuG4yvGH4wP84XiBZ5cr8jNijBaGrLuREHEL3GliZKUqSLScQ9MTYG3sDngajN0DIR4O74kxgL2eEvPWD9CveN9KtcLTeYl/+uoEuVY7T8IQSKGkuJER9DFLhGS9ItUByEnQDiO+OZjjn746xg+nh9feH5lL65aSBy+3zXT+7lPWefTBn23/nJP3FKXTUTo1+YkVmgzZk2CWXqUJlOD44/EB/us3pzgsdvE8O3bUjtV0bbw2ddyHf394L+AphtBzcHjm6Tc8BBMQTEBy+U5jyv2a6I/eY3A2PDTtFA9+m+tWcIZM0IM5FZ9mFcd5Pz3gB0vt7q0hOnOQ+kWqdMwi39Hjdv5BOqw8Ki6nQcVd4yijZ4Px5NvQhVW80dnJhC+2JYKB8fuVENCcqKZxBS8RO4PhmwaTO/ovDd6WfYtl38F5j1JpFFpDMEaU8mBk2gX/g0hpFIwjlwqF0ihUPG9EE6eVxQHtOMJhp3fVk+m3QBoGY/tmdvvtasyIZd9h2bcQjKPUGmX4nqjt7a1BZ6hdE1DJ2NSmXKrpuNlpxXNAZ8yU+MAZIx+ycAyz0K7bUNlt6CdTfwr9aN+kdPI189e5hDycH8F4oNULJELQdSDlpEm+ydPq9fM5XX/W0n6aAYO1NKjV5JUVj691Dq0Z0Vnq/9aTfGA/vS32cxEG8Jmk/qWCX5u6p1QKoD4/OhpM9C6cQzNicHY6t7EYY5B7xyiTu3NkvAM8Pjir4G3lvQXgAFgQB5iDsXfTZL2Pn7Hw3oVjF3/43m8AtzjnX1oR44nYQeo9VoKdIwBpiIynvYfM9KeJFr37nHVk9N30NNEerZvYRtb6ybw7Uvt3hqka22AyPZqY5ifAOcdoItMjABgBEOEMsIGt5MJ1JTiDwm6AR54X0UB8l3rHOYdifuof1pGHgQoyvyj10+rL8o2J/ZkxQGmJqkpxckzAU9uOuLqqb7UdOmcWfQ/UdY/1usVy2aIoEjCm7yw9JdBrwHrdYrVuUTcDhsHcin0Vi3OGPNc4PChwclJNqYIf4xreTzmMEoxkz3dM8p205abv54xBSA6tBZSS9/OG84ALDMKJ8fQJJ2oemJhD66FHOw5owjNEMk5MJgb0VkAbEcYLFG7jw3jEODc9bzMpJ3lsfG6zIG1pzIBmHNGYYWJN9dYAoOu7s3I3DnD0/N2OPbwHKptgVDSOs5LQIkpxjkE71M9MiPiOz+LGjKjNiHTcfWcTmFbOPzAmxu+04rVoA/OvHyhIAkDw4wnAE4vvjvXberZfq1uCIpzT2BKeAj2if86267HuejSjwRiuVaq3gE63qAhwVFkCBz8lpG26HmfrLX4812iHEdt+mFLMRmsBsOkcD4b8H7vR4HLT4GLbYNN22PYDrpoWr9ZbMAYCJEY9GUpLEUJEwgLXy/UWV3WLuu+xbiUutw2KRKMbRvQmRTkabLsBo3F7+0iiwXfub7gPxYU2F/R3kcGzafsp6CQyv0UImshUCCv5hKlq0Th9nqVYpR2KRCPXiu7dxmLd9tN7I/tbCVow3E+nu29FSaxxDpu2x6v1FrlW2HZ9kIL2GIxBlWpkWuJ4VuCgyCAFR9V0KFM9sceafrg2b4wM9+izJfnDATLvWu812hRcIOEJMplN4JAHAVCMMSQ8geLq1gbj8UFpvMN66LAcOqyGlh6y/voE8qZKhcRpVlFq3ScyD7feYTv2WA0dVn2Hq67FVd9iMwzozDgBPy74CDAWdPicT0BPElaq5kmKeZLiMM1xlGb3Ap6ioeVq6MlovamxGjo0YTA1Ojt5GMg9wGmWpFiEn6O0wHGW4ygVE0j2tjMYV+hWQ4f/eXWO/3H5CoO1+L6a4/vZAqmQoV0Gy77DeVvjvGsAAJoLJELi67LCd+UC31XzvW16/Lxd4qfNCr/UG/IyCAZwB2mGwyTHUZbjNC/xJC+vA0/YgTnnbYP/cfkK/+PyDJmU+L5a4PtqDoBN1PqLrsV5V+O8baACcJMKie+qOb6rFnhalHDBoLe1I37erPDzdoWztgkeCxZKCBwmGQ7SDMdZgSehXbcCnhwNNMc98G7Zd9iMPbbDgO04YHQWQwA14/EBMJkCpoIkpaXSOEgznGYlTvMShSIzfcZvtwrRjgTUXfUtft6u8PN2jVXf4U/zA/xpdognRUl9yNGg9qytcdbWWPXd1P8ikOMBSgcMEoDDNMNJVuAkLzDTKSqtofj9TWStc6jHEduxx1XX4qyt8aqpKdkyAIlxYsUZQybVJDs4yUs8DefIOAeHnTfdp8FqLLzv4f0AxjQY07idsZgPn2sBGHgfQSsJQIbf9NpvcWDKGIMMk91Ek0SM3ZOhYozDGJgv+yyLyESPfWF/4u29n9gycdUpxl5PRpBhAx7+RhbIaCzqYNAJ7PwjiJbvJ0mZFJQYZg2BZJwzpMEgVEmBITC2jKV/c85DSDYl400LEjYMEoMXwH1TyB5SKSlQlSlOT2bYbnssl/WdjFwju61tyWj81dkaR66E1gJZ9u7P79c4Wmy3Hc7ON1OS3V0lY5xx5LnG0VGJJyczzGbpRwMGY6pdZAAIxncLOmHhSb5jUYAFg3syob8fCOwRrsXRTiDwJyQ8ASDgqTMjmvCc9aBxGnkj7dJvXRhTcMaguYAJ6cq9s3DwyKRCqRLM9Ih5kmKWpKiSZGJFNWbAeujxqtlO3y0Yh/H0HKOFrF2b1kOPzdDtLRbuFnIU59OzLYkT0vDMiws9knOSIw006dqMA3prdj5Sn/AYP9abKy42WOvQDyOWmxYvztfYNv3klaO1hBAxofS3+FS/X8U0ukWRTqbfF1uaWwzGYtV25N/T9Wj6cerz4h7jhVhScOSJxiJP4byn9FkPrJoOfz9fYt31Ewhhncem7TEaF6T6ZE7eDCMuNg3ONzVeLDf46WKJs02NdhiRKAl4MsRe5CkWeYZZlkysmHoYcL6ucb6p8dPFCs+v1rgMiWgA0I8GB0WGRZFhkdNxGcztpN775YCQ4EeL0FE61vQDnl2tYR0lsAEAGKClQCIltJQ4mRU4nRWfFniSAkWisSgyLOsWZaqRKIFN1+M/X13i1WrvnssZyjRBmWpY57FqOozWvhfre/J38h5XdYu/vbrCuukmE/HBWOSJwkGRoUoTHFU5jqsCHh5XaYJcqyklsBvNtflsqiWKhEJn5nmKRZ5Cik/jgfih696jGQYGySQSkYCma7uKPAfFFCST4LjdINDBT0yd9dDhRbPBL82aJtvOYnTvvnAqlYCBYa5TVOrTJKJEvf9ZU+OXeoNn2zWeBUCCBg09OmNgvA0GkGxiemRSTmya07zE06LE07yCcQ6pEDhM8zu3pbcGm3HAWbPFf6yu8B+rS7xoNrjqWyy7Dq0daVXFO+jAionf/3VR4atihj/OLLQQOEiyKVHipvLYDWDXQ4d/vTrD//Hzf6AZR/xvJ1/BeY9KJ9gMtHL3vF7jP9dL/G11BcaAXCrkUuNfjk4BT4BS3JfRWfxtvcR/O3+Bfw1gVm8pKvzbco5vyxn+MDsAAMw1De527fJTu867Gv/94iX+j5/+ikol+N9Ov5puMNuhx2Yc8ONmib+tr/Cf66vQJoVKJfi/nHxFJrY6mQC2zdDjr6tL/LfzF/jb6gq9NRgc+TR8W87xTTXDD7MDSMZxmGTI5LtvvkSNN2jMiPO2wfN6jefbDc67BudtjcuuQRs8IbrAhCI9OSPwUgiUKsFRSmDct+UM48IhU2piFIlbUjEbM+Kia/Bsu8J/P3+J/37xAs+3G/w/nn4HHr5vDN+/Gjr8x+qS+lm9pT4/9hjsbjKdChkkABrfVnP8aX44MQFJApDceyBlvUMzDrjsWjzbrvHX5QX+urrEq2aLTbj+XJhUCc6wSDIcpTmOswL/MD8EAzBLUowuTr4iSPDxh3bemwAg1QByAOKWkzYXPreF9z0ABcYkvFcBvEr2tvNl0G/vUhPjKSSuSXE/Rkgc7A+jpeS6yLJg8deb2R7Oe0oYCiCTENS3aLDpJoPISH+OyVSvV2RGNf04mYVH4CgypWJiieAcvTcYDDEyvcfETDEpmQX3g5mo/4wxpFqizBJKUelHWDsQmBUWPj64WfVnKKk4MZ5OKqzXLX75ZQl+V28m79F2I66WDc7ONtBaYHYPY+vRGGw2Hc7PN7skuzsydxhnKHKNo8MCp6czVFUGpT7OItoEPLngHcbY5PeUBMa1FPyt9gScAVKG9EMV0zDv3qdskNpNstdPKbVDMCk25JUEIEhsd9HdMa0qLtpFsMd5T89lO0IyDpaBvJR0ilkYk9ACS4JKa7xsgPXQ4Zd6g1wpFFIhlYrkGN7Aej8xk40jwGjZdxPYIAOYpDixh+MzKxESrR/DGMEgEQK5omTCwblp4ao1JjCdoknyJzvMj/WWcmHhou8NlpsGL87XqNseB7McB7N8Yjz9xh7l712SRxAow7ohRsnFpkE7jFi1HV6uNkFtQl09XsviPYgJkvMAdmUYLc2VPAh4Wrc9fry4gpZ0/0ykwKbtA/DDpvPcDgav1lv8/ewKP16s8GK5wfm6Rm8I9O6GEcumw3GV46jscVwVAeihBLTnV2v859klfrna4OVqi6ttg3406EeDddvjqMxxVOXYlvkeU+Zu++nD82EwJjCy6SDWw4Dnl2tcbBviTgWWTp6QdKxINIxzQfJY3Ps437WUECgShUWeocrSIGOT2HY9LjbNNfBNSY6jssBRlUNJgVWQ2yXvG7BDpPPAQhvw06VAPxp04wgGhn98cjR5TlUZAYmDtajSGnmisO0HnG9qPLtcXZNnVhkBVUdljsFWUIJjlv3OgCcA4OAQTEAxFRgxwZAymItb2AmUus3gtjEDLroGl32Nq55YQ+uxQ2OIltyaETrI0CQXGKzF6OhBHeU6gnGS2HwE+vD+89l5h+0wYDP2WHYdntUrPNuu8Uu9wVmzY38QQ4UmBXEiwcLnBwe4kVaoVmHlSnGOTCocmXyiTb+rSJpFdOvN2ONFvcEv9QbPtxs8C2yVZd9OK2E2sNMYaOLVGQIxGNi0wtYaomI344B5YEHFRJbIgLp+bAhuNM6hHgdcdS1WPQ2uTrICpdbT8ToPx6a3BsbTYO+KdSi1xkwnKALAYwLY+PNmhauuQWfMNKhy3kEyPknQMilxkGSTfEuHh0q8IY7WYTv0uGgbNOOIX7YbHKcrMGBiFJ21NdZDj9E6bFyPehyx6jss0gwznVAijKdEmHoc8DywgOKgszUGDRvBGUPvKFUplxqHaT6Bjfp1Xe5etYF1ddE1+GmzxE/rFX7argg8GXvU4zCBPdckkwFspPhmG4BHOoejc+iswddFRaywrAATOyDxpuvSBpp/a2hbl12LV22NX5oNft6uoYWcjFFXPYHExDLqaTU1TBqmlKAgsVz3HcaQqtOMA9azAwzWTsdGc3GrRIb9Pr8aOvy4WdEx26wmJtpq6GGC/IAm2x7wDL01WA0dTEj18QA6a/D3zRVWYYD/6cruAU8CjN0WLDfwfg1rX8D7BgwaYAkYy8B5CVqr8ndgUH1ZxRmDUgJpqpClCkrdfF29rax16PoRdd0TaGOpr6RaYlGm1I/3pNGxIispAlWCByPq4ItjJw8J+uxhmSMLEbeJkpgXKU4X1TU5qgzb4IxP7CTr3MSyHI0NYJIKq7VkaKqkgJQcB2VGoJOl+0MiBYqUUuqMdUi1RJZIei1V0ErsYoG/4JJCoMgT2AOHy0WOskyQaIVWjNOq87vKe0+MpytiPBGQdfcV4nG02Gw7nF9ssVw2aNvh1l5FPEQ2p6lEUaSYz3MsFjnyXH9Q0/d4b/YABmNQ9wPWfY96IDm1c26SKNO45e3xMJxzKCWRZRpJqoh9eOcJDskUu35E0/QkT/xMZrxxIS0yifSeHDxK7G0YB5goRfFuYuYzMEguJpYjbY+u5dHSsZ3SucCm7+OMQTOxl1JH4x8ZFr0AQHJa8GnMOF23DIxMxP2OBW2cI4axlFgkGTo7TmMVYh4rHCQZigBMPdbnL5JG0yIFC5IsFyax3u+u2y/7bv3m4uG5WKZ6YhDliUIiSc4Wva0E58RwzRI8mVdohhGLPMXprECVahyWZCTdDgZKcmRKIdXyWkKZFHy3nVSjTBIoSTYnuVaQQmCWJZOkKcbUl6nGk3mJZjjEPE9xVOWhzQlOZyX+eDygNyYoARyBToFxPMtStMMI6xyeziuUKaXc5lpjnqc4HQ2UoP0arUOZaBTBo2iep5hlKfKQciuCHLpMExwWOXm/aWLRJEog1xp5ojALBtRVSJgjw29aWEg1WWXM8xRayglkV4HJdTIr8MPJAawjcsKq6dANBkIwHFU57N7+AXuL/FGC1/U4DEEqdy0lBBZ5hq8PZvAeOCwyZFoBYDidlejGEfOc2Fx0DhN8tahQ9wO+OZhhkWdQgqPKEpzMCoxBetkOJGuMJQXHIqdjpIKHZq41tBQ4CuM1KQROZiXawaAITCUtZegLFf7hyYAy0TiZlTgsiKQhOUMexnpxvj8GXzHOGJ4uShxXBRZFikwpSi7mDIsiw9NFBS0FmsGg7cfJqB4AikRhnmfkzakVzZOCFPObwzn++ZtTfHs0xyz7NISb96n383hiNEgWTEx/ppWjEaMbYZmdDMdvU+uhx9+3V/j31TmGIE3z8NiMPVZ9i/XYY65TzFkKxUWYYJO0p1RkqBipbh+7rPM4a2v8FCa8xHJa46ytJ9DGeY9ESMwTFQb4PKxU76J7I4NnM/QolEYTqNajvX0Kgg0U7dXQ4WWzxV+WF/jL1Tme12usezLLdN5BC4lFktJKdxj4RIbZGHx6+trgVUPA0Hlb45ftGn+aH+JP80OUStM06h0MqFijc1j1HZ7Xa2S9Cl5BI9pxBGfEbGrC3wkw26KQelrp6y3JyjZDj8GRv1AcyPXWYBso4721mAd5IMmoNHgAit5UvTW4DBIyD6AJ7erMCMU5jrN8atcyAEyZlNN3DcGfajMQnbbUGmxkkxnrqiew1HtgnqQ4yQsIxnbmozeMyptxwKtmi79vlvj7eom/r6/w82Z1zWsmFTLEx8dzwGC9ozSeIG/bBHPU7TBgM/R42WzxD4tD/MvhKeY6geTinSy2N5XzHutwPq33ZFDat9gOQ/AQo7SGVKaTH00ffJ8iMLYe+gmcfFFvsA7HsFAEOpZK3wp42u/zv9Qb/M+rM/zPyzP8vF1j3XfTdlOpME8UtNilAMWJwrrv8ZNfYj30+Gmzwqt2i/M2JnR+KvjJAr6Hdw0Y14C/3eqQ9wbOrWDtMzi3BGN5AJ1mAMZgjEzJXIz99pxjGWPTZDfLNHng3IM6b4xD143Y1B26boQJ4E6RamBeokh3zLH9K2YyCA63aM53wNR+7HX8RJ5olJkGZ2T+fTQrkCh5jdUxDVTYzsRzNA7LbYurTYt2GJFqiTyhgbh1Duu6g1YC8yLFLKeBmAuMJxk8sJIgtRttAmMttNx5O/HAevqSSwiSpnHOMF/kKIoUaaqgGgFjHNwtmNLwIG+oZYMsW+PkpMIw3H3QHKV25+cbLJc12m64tWRMSjpfeaZRlglmVRaMxe/pm/SWigsWnTFYdR0umxarrkMzku+PtAbCMPRGTn5BNxXnDFpLZLlGlmoodR/2IZmyN+2Abd2j7+/mi/UhKjILJePoHT3rGQN5RwZPwH27gljE3KU/T/Jchmk80Bvy2YxycBuY5jOdTuxaGisSy4wxhu04YLA9rPfIpcI8SWkCExbampFA1dE5iL1jPZnBM9DYU6c4zQs8rzdYDRv8tFnh23KOqkzwJC9QqASJ+LL83X6LxRgCwEGgS6Il0kRhNG5iwJq9hY4v+4796+KcTeBCrhWGIO0SnBM4EhZso8fVYZEBp8A8T5AphYMyQxGAIcE5jqqCfBADI3jfmJkHqbngBODEBLahsIFNzDHPE2glAojMwSRwUGTks5YlyJTEyayE4hxFovHN4QyZVjCBOergJ/sLwTktgAYZ/mGZ47DMkCuFk1mBREVwYwzglEeiBDGmQtgD+SUpZFohVRIMKfwBUCYazUBzlW4wE7NJh8S9+MM5n1Jth5xkdx4e8yxFpiSFtQgOzRhmWYrvjxYo0wRNP8BYh4stsYWUEPjmYAatJIF2aXLNe/KX5QY/X67warXFthvuJe9LpMDJrAgBFx6zAJ7Rfi8wyxJkWuKgIODvsMzgcIhZluKwyHBYkmKGAKkZikTTHNe4a0AOZwyZlmEhj5LthtFCBCbRLE0C42iOKiVA6rDIkWkJjww/nBxgliXQkkDJIiGQ8Lgq0PTDZNMAhomFzsFwUGY4KDLkWk9hHADHQZGBc47jqpjau79oFc9pphXywCrjYDgoMvz56RFmWYKTqsBxdTeV1Oeo9zYX5yDKYgSgrKeONjqilRlpfiXFu6nWQ4e/bS7x/7l4Bs0FKkX05O3Y47JvcdE3YGDIpQID0FuaeG5H0q4nQoalgffZq9uV8Q7nbYN/W57jf1y8wrPtGj9vV1j23aS/z4OEbp6k04RacwEbBnydNdMqFAEFPRpDvlCjtZN/z7vKeY86sMV+2qzwPy5e4f88e47n2zUAOiTkZ6OwSOiGF1lBjRmxHrppsh5/XjVbPK/X+DErYL3HIknxbTUHZ5E/8e5H3+gslkOH59sNlBBBIjaCg2jhB0kGDoZ6JM+DF80GjAGNHTEEU/TemmDSLVFqHZB1uoFsxwHNOGDZdzhOczzNK8yTdPLxkTcM1ntrcdm1SMSaJDOBsaSC19RJpvGqqSeK+/OaqLpXXYfOjoEhZoOhuSTA05NUYOsGrIYezUirx8dZga+LGTJJN7dCKeAG6WltRrxstvjr8hJ/W1/hb+sr/LRZoQpG6KVKkEjycKLtkQzAONqfK3is+x5bQ4PjV2yLl+0G1TpBPfaY6wQ/zA5QSE2T4jtODpx3WA09nm3XWAdA60W9QWsMZklC8tYAHsUV2siaW4Z+vh56XPUtXjQbeghai1xqnGQEuCguUN6iLdbRyvNF2+Dn7Qr/dnmO//PVczyvN5O5cqXIM+04y5ErDcXJwH8TZHnrocWyb/HTZkXbDP1qt8L/8Z0UvLfwIMaT9xk8bjvZNXBuCWuewblXYLwCYxW870Bm4glIfqfwW9RSME6MpyzTyHINreS9mDvGWHTdiO22J+DJkg9DkdKq4TvJMnvskWvte/3vYbDLGA2wEyVxWF03EHrTVw0jMT8u1g26YUSeKszyBFIIXG0brBtKOzoocxzNchRZQv0/dN2Y2hK/YWLdsnf79n0pRUC8RpoqLObEeEpTBa0lvB9hLd4J/nh4tB0xnqTkWK8P3w94Coynrh1vLRkTQiBJJPI8QVkkmM1SzKrs44QdhIlCNxqsux7ndYM2pO4M1kIYmjANQdLt3nIP4UHymucJ0kwFw/s7NwejMWjbAXXdoxtGknV8otr5JtF+O+sxODr/LjDqZTAQjqze/YWMeHxI1EwhHj4wl3prwmIkLQZZ56C4wEwnMBNTykFyjVJrqMDmJ182j1wrHGY5OAMuuxaXXRvCa4iRHNsmAyMrTlYSITHTKU7zEmdtjWXf4d9XF6h0gj+JAzzJy8kD6rE+f3HOICFosSAADcNgwcN5nZIef3uPc3DGkGsy0PZIwzRuxwyMC61K7AyW5zkBJCzMtyJ4dVQVU4jG/hh35zzApr/vgwO77yQpevxOKTiE4FhIYkJ9dzQP5s4EXpUpGVh/tah+PQ4IUnv4HR0iGqETy0vgqMrhXWC3Tc/o3fM5PsPZ3vM8kQJlovE0sqYDOy6q+/eBtuk5vxsGTAoVOm4kISaQjI5xmWp8fTAjn6KzK/z9/ArGOcwyYnodFBkOiwwHRU4WA6CFDPnjC7xabXG5bbDpdnYbdymtJE5nBY7KfDpePBAOZlmKbw5n18BDJQRmeYo/HB+QNDrcz8owhnsyL6fj+noREEkHZ3+xMG4fIKDxm4PZNIYTjCNRErMswffHCzrOsY1+x5Z9veJLgrMJBIwkDi4EDooc8zybzuebxpTxfPLQbsYIEJ1lCX44PaSFky/gfv5ewJPxBoMb0Np2kto5OLS2hfEGgolJQ/76yu6bt+cmJslRmmORpPiuWEAwhs4YrMcOM53gSVbhq3yGmSaWy2bsp5MVWTC3jS6+U3kf5EWGJqzbFX5cLyfj5bg6dZTlOEpzHKY5DtL0GqVZcjHJhIYgjVv1ZEp+kGaTGfVRliN/iy+QD4MdF9r0stni35cX+PflBZ7VxPrgjOEwzXCY5jgOnjbHWYE8pKxJzok5NFDSyVlb40WzxctmCwagNSOe1xv8tF3hNC8wC3K7mU72kuduLhNW5q76djJN/07PKUUsmJf+Um8gOEM7jgBAfjyeVgvIt0DgOJiHL5KUgLGewItn2zWehYS8zdhP8sxCKVh/sysspdf0uOxo8HeU5VNSWwS5/mN1BTA6Bs47LPsWg7OT50OmFE6zEic5sawicHfRNnhWrycvpvXQ47JrcJhmKJV+q+wiFQKLJMNXRRX+TkbcO48IPSWwpUJOA2Xj3e77uwa/1Bu8qDdTas3SdcEnqsFF10AGOWcWANzbVvQyO28btGFCMktSHGUcpxn120WaIpc6AGxAF8DD2K5f6g1WfRe8lwYsAwj19/WS9llKHOHNiP3+PWR0Fuddg/9cX+EvV9TnV30HeI/DNJ8MzE9zMlePfV4whibIA1dDh6u9MADraAV5sGYCfu9oFXNjUdtJ/hZNwb1v4dwlnDuHsxcAFBifhffG91s4VwdgqgMDBxiHdzWcuwivj4AfwdgI7zs4twTJ7DZwLgVj8ScDYxmiHxQg4X0TfKLq8GSMS/c6gFYajCXh5+EwpzhjSLREkSco8gRay3sxd0Zj0YQUsqYdYEY7DWRvW/vSJWA3vrvpOccYyDNnDxi/cRuggc/xPEeiBMosQZYocM5R5SnFvCuBKk+QKDkZfcZLZWJrfeFyuncVnXuGJFGYVRmOjkoMo8FmwzCO9o0Dwf3yHhgGi6bpsV5LbLc9mnZA15H3lhA0QH9TRZ8w59wEnGw2LZpmwHCL7wbo/GQBODs5LjGbZUgS9cGZTntfOE02EilRaLo/aiEwWgsZwIwwfXnrGE5whiSRKIsEeZ5AaXnn/ua9xzBY1E2PzYbYh/Yek5b7VrQJiMm2HAy51FOiXz0OE3vhMHhQRtDGIRj3O4eDNEOp9bT4dZzl+EN1EEJbyApg5hOI8AyeFjsQEoCVJp8o0NhnDM/YuU6mxNxCaozOTqm70f9NMgLBTJD1LZIMqZDTKr/mAmVYDE0EWRJcB6Yf63NWDIBw3kMpgapIiM2ZKmSpxqxMkacKXPz2ztkErNxiREoT9cjovl4CwMeww4tgBN7wDKBrEFD3sDTgEPebhE/f+WGL7W0bIG+iMtWTofloLK7qFoOx6EaDuh8nxpNzDqu2gxQcT+YlFnl653AsIIA+QuCNVkuhXddeEgzyTX2BMXrne/YH8YbvBHYA14cqec/JhhTEBHz4Artd3Rt48vAY3YjWttiYzSQ9oKh5imjlnMPv/e9d66vRN2N0FplU+Cqf4b8unoAxhnocsRxanKQFvi8X+FN1RLG0gbHzrFnjeb3CauxoUvyRPJ6240AStHqDH9dL/LRd4WWzAQAkQqBKc/zj4gj/5eAIXxUzFCFhTAtB6DIj+iANDvy0Gha194WkwUccwLytXDAIb8YBv9Qb/OvlGf5teY6LtsEYpGl/mh3izwfH+LqcTYOfRIhJ9mfCRHtwFs+3a5J4bZa47Bpc9R0u2gbPt2scJBkSIfFNOYdg7FbAk/VkurkaSGb2VV7hnw6PcZBkk5/PX1eXMM5NpueRkh4Bu8M0w/fVAj/MD/F1UWE9EFB31tbgjE0AQhvS8q66FodJ9laZYgTEOGtxkGT4vprjnw5OkCuNJKYMCokhMNIi4NKYEQdJhoOUGDp/nB3gh/kBFkmGdUg0fLZdw8HjomvC9wxk6t53OErztwJPhUrwVVFCcIYneYHVbIHNMBDjKcrQopdZkEsyFoyOA4PuZbPFv16egYHhVbNFFyRumyH4NDU1FBc4SGlF9C4sEQI5B/iOPJEO04yAnazAtxUZvR8kGZQgTwwWjjWxA0mWepKt8PNmjZ+2K9TjiHoMLK/VJRL5bjP9ePQGa3HW1vjL8gL/8+oML2va11wpfD+b48+LE3xTziiZMSsmoI4z+mxnDFpr8ON6ib+uLmFXDqveBx8xM/llfLgiEMl7C+83sPYczl3AuSt4t5zkctyf7L2fjMedewVrf4FzV2CBxeT9CGfPg7H4fg1wbgnvaoAJ0KNXgPMZuDgG58dgrACQgjEe2vILrH1O3xnAJ2JQleC8AudzAPOHBTxxBp1IFIVGWSRIEnkjMPC2MqNF2w5YrciPx5j7Pzc+xFTg9W1wzjHLyVtvUYzTqhsA6JJ8DiLwJPdGar+xecmtS2uBqkpxGqRy1jhst92tFqKMsWhaQKoO27pDU/douwFaSyRMvmnOAQBwzmEcTQCuBtQNgU9tN8CMt0tnYwzIMo3DwwJPTueYzTJo/fEkULF7JFKiSjR5TlpHXhTOTvHSgnPwHfb0xj4uBEeaKJRlgiLXJFG5RwccB4OmHrDetOjaEfY9rsW7lve0mBH9RHOpUASW7BhCUwTnmGti0KZBEhdX4qM0dpL6M4ZSaXxVVGGhSKFUtM1ESBQhvTYylDxIaqeFnNjyh2kG6ymYIwk+LDOdoMsoQCCCRnEc8HpbogF5M5Lcs1Aap1mJeZIik2rHpPhkR/mxbirvaTxPBs6OfIGKFHmqUeYJylwjzxLkqfoiGA2P9dsoKTjKROOoKoAtw7JucVW3EJwYakVCKpTo42osSfz/eHKA01mJInk4Y8bHejj13oyn1rbYmi2stzCeTIUllxBMQENPYNRtyoG8j0bnkAmFp1mF/7o4RWtHnLVb/NJqHKcFvi8P8E+LE6KfOofl0MGf/YTnzRrrgSQ9H8VcPDCqXjZb/G29xI+bJX7erPCi3mIRGD1P8hL/fHiC/9vT7/DH2cEEsLwxutPHhJSd+XjkHCjOod6SuuCBcKws6nEMPjfn+NfLs4lGeaoT/DA/xP/96bf44+wApUpQ6jeYSYbv/dv6CvMkRSol/rK8IOCpa/C83kwDFcE4DpLbOenbYBzuvIMrKnxVlPi/nn6Dp3k5Ma4yqbDsW/y8WeFVS/5Iy6FDKgVO8xJHWYHvZwv88+EJ/nFxNAFNv2w3WA0d/nN1hcu+RWtGLHuSTtXB6+imMsGck8ylGb6rFvh/fvUdSpWE6GQyLb9oG/y8WWE5EEOnswaF1EiFxGle4I/zA/wvR0/wNC+xGjqs+h6LJMVl1+Kvy8swiB3JaD30y7eBGaXSkLzCIsmCKT35JpWKKPi5JLDvGm02nD8XBpvP6jUYGJbBZ2rsgodYT8DTy2aLPDCmFvpuiQgeQD2OwQfE4Ele4rtyjj8fHOOH+QF+mB2Qkfp++8LuvmprHGcFDtIcigvUZsDzek2SwMCwI5Dx4N3t8GR8ftbU+PflBf716hydGdEbg4MkxXfVAv/76df40/wQB2mGgyS9FksaKdXOA//9/AVsAMbItJ6OG4u78MFWzzy8JzDJuTWcewFjfoR3Kzi/gXcbcH4UpHIApdYZYjDZMxjzV1jzbGIvETV48yvgidhPNZwfEIEuwIKLE0jfA1IGPyIOIIF3G1j7DGb8n3vv9+D8CFwcw/tjAAxCZAA+XTrJu4pzYjyVRYKiSJC8F+OpB2NA2wwYx0/HsrhNCc4wy8kMfDQWbTCddB7IU0Um4VJeo4b/nkspidksw8lJhaYZsN12twZBxtFiHClOeVv3qJsBbUuWAVLevDLtHPkTdd1AwFPdY1v3aNvx1u1mjCHPFA4PSjx5MsN8lkF/pCS7/e8kyUYSFqHCwp+1aEeDZoz3QTp+r7PxYglBhujWpchzDa3lPaR2HsNoA1usQ9eRt8inKxpLNeH5VgbPwVRKCooZekjGcZIV+KqgZ3SUroLtjtG+zKUIkvgneTWxOWJf9GHQFT1JowSWh8/vSy3i85ThbU4Sv25LFxL66nEE4FEoSi6eaxrjfemhAr+tCteeoQm8UgKzkmwjZmWKWZki1fLW/qqP9VgfoqSggJJj79GPBi+WGzy7XGMwBlqScTqZihOQflIVeLqY4dvDBU5mJfLk3QSFx/r91XsBT4IJKK6Q8AQODs7HOHJi1GiuIbkEv8HT5k3lQBKy6EEjA7PDA9MqnA9PWMFIG5kE4zlKGqFEu48hg/bw2A5kgv339RXO2npKFzlMc/xxtsA/Lo7wXbXAYZpdk7Td9JAX3sN7omvHwYbzfqJR39iWwMKJ5soXbYPt2MN4h5mi2N7vyjmeFiUO0xyzMNggEOzN52OmE3xdUJJAY0actcSO6fb+fJwV+H5cUAreO6ixUSqXB3+iPAzEaNBD+5dKiTJ48dRhoOS8h+bRGLPEQZIhl8T2yaQi5k0yko9TSAMkmryd/JfeJm8QnCjruVIoVII8yM6SsNrIGUMqFSqdYJ5kGJzFdqBVw1RKHKQZTjIawGVSQQuJXGoyHtwb1LkADHbWoDfEwntbvxScQXsJJhmsF7CCQMk0HDN9g+l27Dc+SD0PUpLrbccexllKd/PErqv3zFHvc43I4IGRBxnBt9Ucf5gtcJIVKAKz701VKmKJOe+x7Bv8fbOEYJSiWJsRV30XUvtunvh7YGJ2XXYNVgEQHCz5XKSJxElW4iQrcJIVOEyzaYV5H2zdH9QvkhRfFzP846IDAxm8n7X1PY7Mu4oFhpEEYwU4P4aUHtYqeGvgsQSxnFxoYwPnVsRe8h0YyyHEkz25nIO1AGMNvDeI0xEGAbAcjOUAxI71xDQ8Rlj7M7zbwIsDcN7B+Q3gbZDWJeBICNziM3A+A2OzwJB6WAa0jBEYkKYKea6RZuTxo5WYkt1uU9Y49IMBYwxNO6BtBzTtMPk63Ebq9CFkDzdtw3tPgBKjiHpHbwa8R6IllNilZ32otnxptb/PWgnMqhRPTmfYbjqcX2zuDMhZ59A2A5bLBhcXW7hFDqXI8PdNZaxDXQ9YLmssA3Purv5EjAFZrnFwWOD0dPZRGU8T+BFYMSSH8Nj2I1prUQ/jJDcWIfUTuJnRx3kw+k898nAdpomaDMJvlypIjLO+H9E0BOC14XoUknxd7sNovG2xwFB6khfQQqBSGrlSkIxjoTMoRtLDKF+jsRmDj1LWve3s71QcT7DXvgvBAwoAucrsbYcF7483N/TXL8Xx8OttIVY7jT0LqeEzStk9znKS2f8O7xUPt6ifiNDPnfPoegPnaMxorEOWKKRJMEP+UB4Aj/VYbynBGFIl4X2C46qgBGrBMVpKhJaCTxJRax0WRRbM03Ms8hSpeljjxsd6GPXewFPCE+Qin+R0sRhjSHgCxRQ447gNTu89duZc8TXsmFDGu+nHOjcZg8UHqA2ynpvMvd63vCcPohf1Bn9bXwWWBCWhnWQF/nxwjH8+PME35RyVTqAC4PS2PY+aWh7+5kGx7/urY28qF9hX0QT8qmumFcpKJ/imrPB9tcCTPWq15Pyt2yyUxtOiQi4VLroGP25WSIREby3OW5KO/WG2oDhh5yaz3JtqH8CJHkqacwi2a4dkBGIskhSroYcWJNFKpJwYZPMkRRJeV1wglwql0nsDQPIHG6xBH9LV3nb6BePIpMQ8yNcySQPMmDADkB9CrqhdtRkgRQtmyLfhICH/oFk4x4wBWgh4kExSB++EGIvcW4shtuvmZlFEfOgzMZ6UJgcC4oaEvlixH2khMNcJnhYlmcaHlVrr3QQ8dWbE6Bxuy0Tc/w7JOVIhMdMJTrIC31VzfFfN3wo6AXR8DtIMinO8aDaolAZnZNbaBvC2NsNbzQid92hDLPRF207pgdY55FoFI9UiMKsyVDqZzsUbjxcIEPuqrGACO+/lRwGd4jeG9E9egTEBzisADN5tI9wU3uvhXA1rz+DcGQAHzmaAWIDxACr5Ed4PcO4CQIuJK8kkgVPIwHgGFkAo7xs4ew5rf4LjSwjfwIsBzm1JBs0KCH5ITCd+AEy+TgGIYg9r5YpS7QQ4R0i2UwQ8JRLjaKdkuXeVtQ7DQJ6ANOHt0TYDdCI/SprYfSoyISAYEianhYMYC/04gdyVUgKzKoM5tbi6apBnyZ2ZHd57Sri7qnF2toGUHGV5MzvUGItt3ePissbVskHTDnC3TKSNxRgjqd1BgScfGXjaL0p2Ipxj21M60rrrJgatDlJu+HcBT4LMfUPKZJoqtN2IcSAZ/23KGAd4gyaAv00zoO0GJFqBJ+xGqeOHKA6GmU7hS1qMQJCvMTBoQYtNlESXXEtdvU3Petd7PtTV+/p2ovxOMEaMaaXhMz/5PD3WAyoWzMXDYoexDk03oBsMusFg2/Qoc41FlUMK8SCeS4/12y/OGRIlJzPsTJPxtwtSX86vG2rH1LWYvpc8Ak+P9Ya6d69gYJBMEttJumvAUgShJJPEeHrHpHm/Jq8ov3Ohj/HnJkzeo2+MBAdjfEoQie+xb81guX95ENgTzZC344DOGGRS4SQv8OfFMf7l8ElIIUturcWe6Oxs/5W3l4NHPfY4a2s8364nuVn0AfimmOP7ajFRq7NbmLwVYUBymhX4efJ1ooSVZiQvrbOmxnYc6Ph7Dg5/48RHsB1IQcATrdDvTwQkJ6PuWZKh6NoJvEiFxCICTzqdIn8V5xBs55Uggo+YDQBPf4sUnijxm4UUtlRKyNcACsUFCqUxT1Jc9e3kWZQFRtFpXgRwUYCDQXMByTiKwJzigS4fDUsHG5h4b5kMc7CQbHK/YiDAbJ6keJpXWPUdXjRbCM6CoT15WLQhEefu2ydgLJUSVQCevi3n+Lacv7PHRjPTRZLip+0KZTBL7YOvRvTdejvjKcR/BwnoaujQjANM8MGInlPHwVy8uoUPWal3PhyvgnTv41QU73EwRgl0AOBdC8t/wU5kS0WMp3NY+xycH0IEQIixAoyXwZj8AmAS3lmwIC1lkOCsBOcH9H6+AOcHsPYZnH0Fa38CcwW8GCCC7xQAYmGJUwjxPYT45iMdgw9XjFGamZQceUYx7lmqkGgF7zxGZm/lrWOdhx3sFOVOPz0Qtv9QigzPAcEpKvmx3lwktUshJcfZ2RZ5rsHuyHjyzqNtB1xdNTg/36AsExwf3XxfMsahbnpcXG5xtWzQtiP8HcNNIvB0cECMpyRRUPrjn2fBiWERx2gx5Y4zBhZSg97ldRdB4CllMlVIUw2tejjrwMwtr0VLq+ZtYDw1UeoYtv8xizMWQlMUxvAsqs0A63xIlNWTz9L7SNQ+JUi8SwTjyEJoSvSmeoSqH1YxkJ+flIAYA/DUj9jUHeqwwND1KaQg0/HHeqxPUTzIsRMpUCQaJ7OHY7fwWF9uvRccGQEm5x2MN7CeJE6CC0h2PdnkNg/cREgsdIan+QxznU2pa4oLHOgMX+czDM7iL6vzKZ1LcvLj+ft2idE55FJDc/lWmdpdKyZNdMEInHxugiRMCFRaowo+PMT8kO9kA8W670AktmcVEt7qkVgsnHFi6qQpyf2UuibFeGtbqEHgIKP0mPi2HYYg23JoQ4Lcqu+QSYVcKSj25kEhAw1sJ0PsMLh9vV+IwPQRjE0ApmAE5mQBsIgeWXH1n08U9khbj7497/YU40HCqYUISWfEWrreLgLOdqw1WgGVnCHh4loqTGxXHJRG01HstcntAak3Hv979oXXj6fkfDIqjQk53u+YgxOj8I7oLGNAKhXmSYrDNJ/MV2/btzgDvCefMMU4NBeUuOMRIqXffua8B6UwjgPWQ4cumICLwKyLyYmZlNfYa7/ej33gkxh0ZL6qJsbdh667ndtdoh0QI905wCTAFOi2LYOMjgP70gxG4BaCqTjBmAIRzPbXtmvCR8jvidLuvgwGzbVULclRFAkODwtsNh2Wa4ZhtHB3BFfbZsDFxRbPny9xdFRS8lT6eZleX8K5eEglRJB9ZUBRJKiqFPMZpZBFD6d3lfMeTTfgalmjvEhxdFy99XPGWGy3Hc4vtri6qgPj6XY3V60ldPAqm1UZ8lwj0QpSvpmp+aHLuR0r13pHrFtBTNTRUCR5NMG+qfb7qFICZZni+KiENRZLNOgHcycGunUO27rHq/M1Fi9yHB2VUFJ8dAYYWQdwSA4kUgCgFFpamOI7GRxud12+6z0f6tq+aTt0LgUy0IKdDPf2xzvKwyvvgWG06AeDuqP7h5ICqVbBD2zHgPe3TAn/GMUDM4vmNzs/sbvUZID/DmXCY33+ehx/fJraXc8BVfEODi7MOzk47hfY8VDrvZ/kDg7WWwxuQGc78qQRKdg9NMiJIEbEV3mFRZJCcYHBGaigrf8qn6ExI/5tdYbO0usyMFGib02lEiQ3yGvuvY/Bq6e3Fq0xU5qeCulnZNqdoFS0YvY2T6cPVd6T38166HDVBeaHc5Q2EORgi4R8pt4l09qvCD4lgdVylObhu0Y0dkRnRmyGHquBTJB1SDB747YCqKR5MFh/g+SSgYAIGX7icSPZmUAqKSJ8AnhC+6KEkQeiWExyoR/gbagKsfX41PY3natIUY/AFOFe1FYtBFIhJ1AqtiuCYbFNLLTCBQP5u0rb7lMMCPu28/OiJvpwjHZS1Lu2hjEWGGyUOFioNxjVv7VtdGDicdVcoGcGMcr6XYwwD2JtEfDUozUjTKD8ZpKYddF367bXn2LEfhOcT3LBh3GDDyLjYPYNxkGJdhKMRTCJfH+uMyQZ+QExGX54AJbYte3uwKcAUE3bfTgsn9uWEBx5TmyR9brDMFpsNu2dtuE90LQDLi5rPPtlCS7eLq96rIdZnDNoLSAEI+CpTDGbZTDGoWn6WwFP3oOkdssGWa6x3R5gNG8BnkaHuibG03JZo70T8CRQlgkOFgVms2DOnQRpwydIr7LeYbAWvRkpKY0zSC4whrRbH5iyLvgTvuvOSMBTgqOjEl03ousN1uu7XYvOedR1j/PzLWbVCkqJCTz8mEUMIQDg5AvIyN8q+hp+aaBNHHuJMJYhy4vHeojlvcc4GjQdsW6to2Q7l0gYYzEaG4CananJJz+XcVE1Lsbed5wUx+nuurLlsR7r912RyGPhApGHMQYRF4R/Q3fv92Y8USKbRe96tLaF9XYyFt+f2t4GoY+Mp68KimXXnGRemgscJjmMc/i35Rl+2i7xt+3VBDwlPMi5FP2k4m5gy7sqJu2RsfGINsiVRGDNlJqo2IUiHf2nKA+P3lpshn5KMLPeQTMyyl4kKRZpeifgie2BKImQqJTGYZKFxDjyCeoC42TVd9BBjnbj9gLAowLAI8IqyfXvjAyksIoyMZ44lOA7ZhH4tfbxPfApbnJiFuHtDzPOSEKgAxPrzR5AAXhiOyYWi+3iZGgvX3sAT4ynfX+u+JB9R5vordffEFeGIpsL1xJt3gwcjYE5tGsL7UsUct0XdIrHJAkAz2LPPP82t8Prx4iuWyU4hOET2ymGB9xUcRJUjwOlDAbGE3mJESAWk4hu2+clp0lFCrpuIhD5MTzi7l6vye+wP9gMPZ8xvBF8uvYpt7etHQDlvQNjkQ0Vf/tgVr6/ndCLHgQg9+uSgqPIExwdlFivO2y23b08MNp2wMXlFnmmURUJTo+rz7ay/Fj3Kx6kY0oBRaGJ8TTP0fcGo7Fg7fDO+7BzHl03YLliSBKJ7bbDON7M2hmNxXbb43KS2g3vlKfF0lqiKlMcHhTEeMr0jSbmH6Os8xitRW8snCcQXwoOZoh5FOXicX/eNeFVSqAKjKd622O9bsN1c/v7qXMe27rH2dkGeaYxqzI8OTUf9Vp8/RkuwT9gounnKcF52IUvfEd+B+W9p9TSbkQbGU+KFpA6YEp4vA9T/UNVZPxFUJxM8O++He89vCPgie4rD2Gs9dut62yaeMqun7vfEqjxpVaAneDhYL2B8QOY52CcQ7DfllfWvffGw2N04wQ4GWfCihGH9Rad7SYAynoLxd5tZlhIjac5eZ/MNMl5IsOCgSHhpLHPlcLTvAqyK2JPzHSKuU5xnBb4upgh+4DmiXFVsLNj8OqhC5kkTRKZUDcyZz5mWe8wOPI1GsPgkAEBEJNIuNxjvNytRKBpp1LuTcZpMDpYShYb9wakbyy2k8axPRnda2+Z/sT2XiDae2AQAffah7dVlMPd1K69HXjtc6/L/N5e03D9DiMGD6A1FOvcmAB0mhGdIW+m0QUvs2ugFgFbnR2x7Dus+g7P6w1+qTforYHk7w+IEvBGTLSEiylx8v22SHUbKMwDU3LlYC2lBHo/sea0ENAiMuvu3pLIxFI8JnV8rgERA2MZeTuJAQBg7Ss4d0VeTLyE9yOcu4D34x54xMLrKzIfdys4loKxDM6v4WHA+TE4L8H5KYQ4hfd1SM9bwfsW3q3B+QUo5U4Hc/GYpPcwvSWkFKiqFCenFbZ1j8ur7b2Bp8urGlIKHB2VWG87dN04pds9Jgl9WaW1xGyW4emTGYyxGAZi37wbVPYYR4euG1E3PepmQB38hqTkEJJWHydPopZM6bfbHk0zYBzenqq6X1lKTL2nT+eYz3Mkyac1fRacnvOJd5OcHcAkL1NCoEqSidX8riuAjnmOp0/mQX64IY+tO6henXNoAoMsTRWOj+m6nvVmMl9+xIAf6zdVLJqLM/IWNA7e0iJdlkgkSpCPYUKJdp+j+7PQxvg8pIXiuxXNIQhkG0YDa26XevlY71ej7zC6DsaPUCyB4inkAwuM+X3XTmJnvQ3A0wgS2alPopb5lPVeMJrxBp3t0No2JCMxCIgJeAKAjGdwkmRG77pN5VLjSVahUgk0JzPEaNScCYW5TpErhaO0wLJqJ4YLZwxznWKuM8x1iplOkYsPCTx5DM6Gif8O4KGELxGi7vkH9ZV6V8WVyGHfUNvTOZB7k3BipNy9XTFhLQmSsrhvNrBOIgjyNuCJVkgiUHPzoDW+L/55en0PHHpbXeOEeP9OfIcBO58o/JqFtf/GfTBs19bYrtsv+Nz2thHXf5pxxEXX4KJrcNW1uOraidnWmhGdHQMA5aZzH0GZzhi0xmA7EhuutxbFh7gc2I6JNvWte/R59vpf7rAgHtmHg7O0Ig8E7y0+STrv2q74Th6uHRW8pzy7WzLVh6wIPAEO1p7DuVfwfgvGSjBWAkBItDMIvRkAC2l3K1is6DXGwSKbiXEIcRyMx0/A+QmsfQbvm/B7A+8uwfgMjJXgvAy/D8C5AGMPFXjiqKoUpyczbLc9nj2/uh/w1FGSmbMeXz2dY7Mh4Elr8it8S2jjYz3A0kpiPsvw5HSOphmwWt1O8uU9+TZ571HXBCpNCWuJQhoeZgRmWXTtiLoZsN12aJsBxtpbT6ayTOHwoMDTJ3Ms5hmS5NOubEZPJw85yaYpnUhBcY5MK1SJvrX3ndYS83kG6xyuljWZu9/xGeGcR9308CAZ7ddfLbDd9uj7EV5LMM7ec8HjsR7roRWbQB0pON0/LIPggJQKSgpkiUKWqinV9HO0kUBfAsf4GxQMtynnPMzoMAx2us8+1set0fVozBq9q5GLGRjjkFD4DILNx7qhvPdwcHDewvoRxg3gTED6uwdBPfS6P+PJ70zFBzeAMx405AzWW4ye0kiMN3D+dhO4TKrAVLrunJ8ICSj6zkoneJJVaMwwMT8AEOiUpMjlh0dxXUjLG6yFCWDLvk9QKigV7VNLMVychEf2ByJzIxh6R/bHPZr1ugE3n4Ant/vOd6THAZhkZ4zFh9TbGnOd/xRBq9t4K/xaivb2r9lv0+tCpdiS67Km3Z/53udvc+P2r/2+9m97D13jCUQancNl3+KXwFh61Wzxqqlx3tVkbB88xkZrJ/DJegcbfhsXEh69C/K1DwOgRBnCrm9FT4z7b4/qbUfoesVrcQyMr8h4IvkehxTiTl4W+9cs+XrRdrz3sJ/scn59vyPj6QAAh3PrAA69BGM1GNuCMQXvOwAy+DNlARhi8L4HfB8kcxaABWMzcHEMwU/AxREYOwLnh3DuEt47eL+GswaedWCuBudzwPdg3IGxFDuT84dXUgqURQrOGVbrFlWVQmsZon5v7yHRdSPGkcCEi8say2WD9aZDUSQ0IdhLuXuU3T38ioyn09MZlqsGL16uwTm7FSh0nc00oK4JfIoJa5yRWXlkRTWBGdX1463bxxhCkl2OJ09mmM+zj26g/XqJPZBehWe94hyFVsg1BaaUSQIlbgfmayUwqyhV8OXLAkWRQEkOY25/LTrn0bYjhsFCcI6LqxrLVYOjbYki95CCw+89eB6vxcf60iuOrSY2kXXTwqeSAmmikCYEQH2u/s72xr0T4ymMoW+PHXlY6zCOBn0/wgTG00OVtO+3a5JCvebXGg2g4ywlJrPTvOXXC/9BoxCsDjgijO4QPbzca9um7cRtT63ZU1HE119/f/y3wTWo7RUas4SHh+AKkulrbZyMOW5x/GM7JyOQG9vCp7bErcZ993vvj8cozqni/3w8Xm855vuGK28/R9e3Hd9P/oU3HfOpZbc8//vvd7/aNv1L9AvcD8fycDAwboTxPUY/wPgeAgouhLbtpHjvOua78/+2/dz/910/+DThQvce5TDGoLhCJjIMcsDgBoxuhPUWgtHkL/5+u5zpjg3mAonwYAzXJtWZVJAf0Nfp9bpZifwwbpIfpRX+jX+89oW3nuDf6d2fqh5Ge+Kt47Jr8aLe4mWzxctmgxf1Fq+aLcnuzPj/Z+8/lyNJ0mxB8Cg16gwkSLLqqr5N7hWZOyP7/k+wIiOyuyIzs3NnmlRlZQYF4My4kvnxqao7EBGZQFBEJL5uLyA9HOZqRM1Ujx6CwRpwxjALJtoAwuCEKEPeI/lwDSZ4cY0ku/tYxY5eb4fsPl393tjmetverxi7+Wj61EUsPTIRj15MCEbfBTj3EOJ7ABJCPAGQgbEcjAl4P8H7MXw+S8ATvIHHBKRtOgKm+IwAqMBkYkxDiFN4/5fw9woMGmAanFVgvAzSvjmA+0vL5pzAgMJr1HWGxaLA6UkFE4CBfphuBTZ4T5PeabK4umrw179dQCmBp0+WePpk8dnZKA/1YaU0STCNcXj1aouy1BCCw9rrE53fKgJBRmw2LS6vGgBAnkl4ztG2I9brFut1i7Yd4eztAP4oWeGcoyw0FvMSZ6c1ZnUOrT4/rY6BAKhKK5xWJQqlkEmJTBKbO5fy1kbnnHNoLeEBzGY5lktKpdsG9mDf3w6Yi6lXwzDh9esd/v0/XsF7T31RCqgvcJwe6qE+ZUX/pMhoclGSZix2zYAy1/DeQysJ+R6M3o/eVsEhlYAIDK3bPmPNRF5WTTOkxR7n/NHi9P2qONmf3IDe7tG7PZyPnnMeimfQvIDmBay3MH6EcSM0z6FFCc2La0DKYBv0bo/JDchEhYyX4EzStu0exg/p+SSYTNtmjMN6E4ynDZlQwyYzagcLyXL63vidjAPw2JtLbMYX2JpXGF2PyXXo5R6SaUieQTENwTQk1xC3gAWsHzG6HqPrqC2pHYc2ZbxEJkpoXoKDg4f088G2GFyDyfUJhAJj1JbQhvjTeZuOi/UGcXyswj5mooRgCpxJCEgMrkFv9+jsDjFQCfCQPLu2r5JrMLC07ekdx1xyDc4EOAQmP6C3O3R2B3fEQopt0byAYBKcSXAm0mcH26TPMnBoUSDjBRTPIZiCYBLOW3Rmh9ZuMLk+gJAubJf22/oJo+swuh7WT+FYm8Nx9za15XjbnPG0n4PrEGAoAAyCSQgmoVgWrsXqs0gwP2gkrRgBTxFwan2L0Y3IeIaMZQfg6SNO4STj4CGxK0bVk+xNfFLg6T7XJwWd/F1WM95e7DMDFLetAz795doWjcO997joWvyP9Wv87xcv8apr8Krd46JvAwuHmEZznWMeUhQ1FymZT3AyQzfOYT+N2E8jXnct+H6DZrr9Kvzt6nMCM7erj9GWBDglDeWn30NaqaCUOX8EPCEkWQAKQkhwvoL3Q/BzkqFtLryAmE53/f3w8h5gEoxpEHClwvYVOD+FUnkAtUiEysBAHk8q/I0OP+9nMXZIMpvVOZaLEqcnNbFPNsAwHgYsv1U02SUJ1eVlg7/+9TVsABPm8wKrVXUvB8YP9faK7BslOZ49rxLwxLmDc2+GObytvHPo+gnrdYurywZ5RvI9IYCmHXB51eAqJNnd1hMuJkNJyVGUGstlgbOzGbJMfnbGE93mSIxbaQ0lBBa5I2NqfmCA3tZGQAgGrSWE4NeAJ4CO922BJ2JBAP0w4dWrHaQUsNZBCI6TVYW6yh764kN9O8UO9wUe2Hzee4yTwTAaDKNFVWhoLbCoi6Ru+CJNZQevJyUFpBQw5vby4slYoBvRaIl+mNLfcn6/2E5Uh6Sx0bXYmdfYTi8xuh4R2CjEDJVcoZIrGDegdw0G26CUC9TwkEyDMw4anzn0bo/N9BK93WMmT8EUgS6NuQrvb4OCw0PxPG2bM4HJDZj8AOMGGDcSyBWALuMnFGKGUi5RiSUBJiHReD9dYj09x9X4LAFGvW2QiwoZr8PPCpyJWxlZGz+htzs0do3JDakN1k8wfoLxI2byBLU8RS19AEEUGIDWbrCbXqO1G0rZhgUHD0AVtSMXFTLUMH7AdorH/CCVL+QMtTyFhw9AC8CZwGBbbKaX2IwvCLwJY+qc18hFnfY1Rw3GOBqzxmZ6ic5u3nrMM18mIGywDTbTS6zH5zBxwRcMhZijkivUcpW8syTXaM0G6+k5ttOr8FmAQ6JSK9TyBIWYQ/Mc4DmsN+jsFpvpJQbXQjAJyWgO4LyBh4f1Br3bozFr8utKx31K10EpFuH8L6B4Ac1zCC7Tfu7NZWJiMbAAmubIxQwznFHbP8Mi8/sznkDyFsUVNKeORTIYk4zE+REV7jY3lCQV8g6C8fC6TqmWjE7f5y0W9veYohdWyGOS2heQKV83uj5Y5UQgw8X0svdoW5oOB4pf3EY8DoJFSt59e1B8XeW8D9Ixh1ddg//YXOL/+/oZ1n2P9dBhNw5Y5QWWWY6ZyrDIcpwXFU7zEoVUKJVKPlySc0zOYj30WA89JOfYjQMk33+8Bh9da5975H9MlI0eW/GiT+l/8Xq9Zb1Jpf405f11MIj+2wN+pJ9MgUECieoqQTI6DaDAoROzGz9v/n7tW3FgUbEbr/CXbAFgASGO2+gRPaPYVwDmE3uEBsBVlWG5LPHo0ZwGtZPDft/D3lIm772HMRabTRsG/paMy89nWC1LSCWgJL/mIXX/Bsu/Xdeu+QC2ee+TdIJ/iH72HpWUAmWZIcsUFvMCdaWRZZI8RoyFMbeQ9gbG0zownubzAsYQGNm2I66uSJLZdiOcux3jSQhiBWWZRF1lmM0KLOZFYkF97mKgaziym6792x2vbZo4H9LtTlYVHj9ewDmPcbTB3P122/LeYxwNrq4aWEsylMWCjMuLQoW+KHB8yL6mvngT+Ezx8gjjOn67cfNDff2VpHaB8cQYC/cph340aLsRYMA4HcKNPnsbj20JOIOSAjqTUEqQNYF1t+rb1pK8ru1GdN2Ivp8wDBOUomf4fQrx8IFpQkBLg8assZ1eYXRdGi0aPyQJk/EDekvAE2OcJvbuwIQBPAbbojFrNGYNzgQUz6F4ToCMeY3WrNN3Z7xI33MAnnoCexzJsSLoZDwBP2Sd4KB4RgwmpjC4Fq3ZYm8uE7gUASYOAckUFM9w28mi9QaDo/0YXUff70ZYT22xfgILLCfOxIG1BYHe7rEzF9hNr9P2BA+SMgBJ7scYJtejsxvszSVG16X5N4FVApxJOFiS63Ee9pNAlliMMXhBDB8GEWyBBBhYOuaNuUrHXLMCLoyDnTDIUAGcYXQdGnOFq/EZrB/D9xMBRnKN3FeUQscYmCeW0W56jcvhl3DMBSTLrjGqrFeQnlhfxKgiZpLiGSwjlpYNwJPzBoOl/RtcC+OCJC8BfmNgQdH5z8UEDwuFDJ3bYW8usZ1eBkYaAU+al8hEERhqFZz4PH5SH5RqZ73FaEcMboDzDpJJaK4hAqXO3dBC/l61ZsJ67LAeO9QyC4bh+a08fj5liWS0fex35GG8w5AS3n7baPujVzBCzmLy3ETa72g6PliD0RpkQsC/x2l23lHMckiviw87EXyfCOwQH+Tx81BAbyZsxgHbscevzRYv2j0uuhbWOxRSopAK/zBf4k/zJX6oF5jrDDOdo1Zk+Kq5gAoR4oIx9NZAcA4P4LLvoIX4poxYeWB+aR7T6xgcXEp4PDYdv2s5T316PDLr/3g1wbuWkuPSq4V1rwEICPE9OD8BpcfdrJvn7y7n8xio+r2/i6D+MVD1dVWmJU5Pavz00ymscxgGg4vLPabJ3mHCSwP8phkgBMcvv1yhyBXGweD0tMbpaR08pb6uie5xRX+AYaAV9XE0yDOFLFPfjKTwAKJx5LnCfFbg/GyG9aZD0wwwZvjdbbjA0tlsO6zXDdpHM1hrwRjQtgMu1w2u1i0xnuztLrAsI++pxbzAYlGiyNU1v5TPXQfA/vBGXNT6kCoKjfPzOf7STYAH2m7Eq9c7OHe7CSpAYMwwGuz2PS4u9vj5bxfItMBu16e+WOTq3sp0blPeE+g/DAbDYGCtQ5YHT58HSeEfpA4MIi0PCZOMMRSZQqYk6jJDmesQGPRlSwiOLFeY1TnaZgQ8KM3zlsxigACophlwcbHHy1c7zOocs1n+XsEgn6qsN+jtHq3dojUbTG4AD8BBBB5IVtVgdF16LxMlAJKVef8qgEAZOASMH+HhwACMrsfeXBI4ZNvAQsmvbXtyPTbTC1xbMDySSeViBg4e2DGUiLadXqKWJ1A8S2yfXFTIeY1anmCpnmChHpNcjRdQvIBiOYj7+vvl4Sh5zQ0EvDANLfKwMB1lhR6jG3A5/opaEstH8xLWTyFhb0QplijlAoWYJQCOg8P6CbvpAtaPABhm8hQeCCqqqHayWI/PkPEKhZyjEDOMrgWABOyQ3LE4SOdYRrI2u4PxA4bwecXydLw5EzBuCOyzBjN1CqaoTVHqKJhEIRYo5RylWKKSy8N5QPzsFEAjC81rlGKOUi4SIy3jVZLyEchYoZYrSEYgnIUhMAmW7DjCMSdZoDuwyNL5F0mGuZleYPIkyctEBectJNcoxDycPw8GDsHpGhJckRTyMz1EP2iEab3F4AYMlvSRkkmA4zrwdAcGQmtGvOz2+Hm/xnlRgzOGuc6BYNT2pYqSX47BFtLq2mCyfZuEt49d0ZdBc5EYL7FdxjsMzmKwFoVzeJ+0UkoPs0egGpkdSsaguUAuRPrOh3r/6q3BZd/iWbPDL/sIPDWolEatMyx0hv+yPMV/P3uKfzk5uy6vC2y3yMRjDGimiVaKrUWpFBQXX+2A/GYxHFL11BEIbBxgwj6T0f7tPVxieRyzz6gvvx989Y7t+wnO78nM263h3BrOXdFesQA8idN3AE/A+4NAdwWQ3sao+npKZ5KkPYwGwpcXDZQU6NnBB+02NY4GLhhM//2Xy8R8+cufz5FnCmWhAURWwqfco09TPvSRcTTY73s0zYj5jAzavx3giRg4jHkCnuYlzk5nKbWuaW4BPDkCnrabDlfBy8lY8qQ4MJ4a8ni6JeMpzxQW8xKPHs2wXBTIcxXa+aF7fPeK970DY5Tej2mvH9KkotB4dD6DEBxdT6ATGf7fvi9674MJsQVjDJmWMNaibUf8xZyjKjUyLcLx+/o6og9sXWvpOtvvB4yTxdyRifoD8PTHKMYAEVhERjlwxkkhzxjKTEMpgbrMUOX6XjCChODIM4W6zrHb9RgnA7S4FWEmXvPGBODpssHLV1t475HlEnn+8RLJP7Qi8LSbXgf/JWK6SK4gGTGKJtehszt0Zotc1KjkCrmYAQB5Drk9Mk5eR5JrTH5IN9rJddh7C844jCP5lmIFVJB3EUiyRWe39G8BnFE8g2LZwV9IlMh4id30GuvpOTbTC0iuMcMpClEj51FSF4GnpzjJvktMLMFkArtuU977AIKMYODQXCdvIWpTTpK36SX20wXgCQxSLA/A0wDjJ2hRYKWfYq7OEoNpcj225hX25gLWGwLL1CnJxpiGZAqt3WA9vsBmeg7NS0y+C9slOV7GC5K/qZMgO5Rp3/bmEp3ZobMbGDcBAexTwQfKwYZ/3yITRQASa9gA6lhvoHiFSi6x0k+Ri1mSCR4+M6XfXfBqmqkzLPRj+iwvoXieGFgAkIsKzp9AMInO7jBZYrNFqZ33Ds4bGDfCw6drILKWNC+DzPA5NtPL4APlUlKeYhmYXATWWHxeRl8rlVhgn6M+GHia3JQYT5zxJLMjfO5ujKfOTnjVN/jr/goOHkudp3SAL6lpjilxmZDXJv3WewzWoDVjYAZR0huPBsWfcCDEACguUCqFSmlkQkIwBhcm4O00ojEjSqVufQ6uJaw5MqluJto36z04GCQnhlUZGDfiK5Di3OcarMVm6PGi3eN11+Cq77CbRpRKo1Yaj8sZfpot8U+rU/zXk0cHsdQ7ri3Je2wGfQRM4bPdTD59EcsvFxKFUEcgcARJJ3QRKL3tNQ8PG2Spsf+awJj6uDG/DvAG8CO87+F9A+f34KwGZzUYXwXGU/7GPr9/3e1vD9fU13u9KCkwnxVQklgRJ7/UJI+yLiTW3S6dL6aaGevw6vUOxjiMo4FSJN8SgpMnTyaD3OcQNf0l600Z3eFFEgcHY1yQmjlsdz12uw77ZoBzc2gtUddfcAc+Yh0nqea5wmJR4NGjGcbJ3Ap0AgDvPPphwnbXYb3p0LYjpskCnjye1usWm02Hvr+dgT0AZJnCclHgyaMFlosSea6/mLwxApDOe1jnE9MzSn+i4THJ64MUk91ubJNpieWiRKYVXr/eYbWqMKtz9AMZCk/T79P6CSSkaxa+wwvBMU7ECqJrNYN1HlmQLgrJITi/FzK1474Y+2CUJMX+GPvhOBnsdj222x7G2jAJVyjetQ7xUN9ccc4gwaGlgFYCWQAdi1yhzBXKXKPI1bUkyi9VQhxYpNtth7Ybr01kb1PWOuz2PV6+2qKuM0jBUdc5ykIfMUC/7H6St1OHzm7R2ybJtCTTiVHjQ+rY6HtolBBcIRc1BtdisC2ZV4semRigfQHrRrAgsXPeYvANzXPBQzqzTICScSN6twsyKlrw4J5DgiR0mheB7TNHKeYYXQ8/erR2i7kbcABVAljFc+S8RiUXqOUJknnFHY+zD2CG9VPwsJLQvEQuagK65Ayd3cG6CXtziVIuCOQRPvk6kRwwRymXmKtHadutQQLcnHfIeY1CzAMrKkusJY9fye+IDyHMTAW7CEDxDIWYoZYnmKvztG3jRjS4whikhzHFTfIDiGfdiJ4FkNHxJHVjjEMylczb40/FsuBfFRMK6VhyJqCOrhPNC2iWp+N1nG7HgwwvF3W45voENLlgyxE4T7B+SnLJTJTh2NBrsA2u4NDaDSTPkPkqGOHTcaFrTCbT8Tg7JG8q2ofPUe8vtfMktZv8hMkdGUZ+wER3sAbrocOzdotaaXTWpJvPl5baaS5QBA+EQkrkQoIxavN+HLEfRzTTiM5MFDd/B0PO9ynGGHIhMdc5TvICm6GHZBzOe3RmwtXQY913qKSGzW63EgscHhuDNdiNAy76Fs04wjjy3cqFJK8hnaOUCvILeFJ8S2WcQxeOdWsmmLBqXkqFk7zAd/UMJ3lB1xt+HxJwzqO3JhmMD/YzS0A/YTEGaCFQKY25zlAEsNV6j84YbIYBm6FHZ6Zb+yCQLJUkpZ2ZMH6i48WgwPgsTNoKML4E909CmlwJxkpwPnsL8PRQdylK1RIANJaLEk8ez/Gnn06RZQpX6wZXV82tAQLgYIi83XbJxHycLF6/3uPkpMLJqsRsXqDINfnOyC/PUIix9dNkMQwThtGg6yZ03Yi2HdE0A/ZNj30zBHkPMUqsdShLncygv6UisKfEk8fLxFS6TTnvMQ4G+2bAdtulJCarHJpmxHbXYbfvMdwyOREA8lxhuazw9OkSy2WJPP9yDLM0tvIevTFoxxHtZMhv0zkwBhSKvARzJaGFhJYieG3+dgnBoTMJxhhOVhW+e7LA1T+c4+Jqj/VVi/WmvVNbrXNhggvIEDvfDxMen89xclJhFUzHi4L64peetAKHvjiO1M+GwSRvm7YdsW8GNOEV+6JUAvDAfJZjMX9Anv44RUC5lMRuAgBjHbQSUEoiUwRI3QeVgRSUyDmfF6g3eXo+3qWcc9huO/z66xqMBV+4WY6yUFCKvKO+PLvrYC5OPk4kaYvG3YxxaF6gVqcBRJljJs9QySXsRMyXzm4SyyeaT+eiQiFqdEdJdscgBIcAB4fiGqVYQjBF/k2hTdE/KXo4CSbBImOFbuif9SgxFo8L/YwAjI//F9LlAATQRIW2i7eCHXTMXQB82JEv0wF0pS0eGD3OG0RfUoF3M3gO7CFLi/NR1gjavuQZqnDMNc9RyxNkvIRkGnP1KO2X9QZX4zNkAXDLRQ3OFAQT0MGgPCbNiZBaaPx4ZHReJVDwrn2HWi0hmE6pfpyJ4MlK25JMkQxRzLHzF+jNHp3dHoGQBfIjQ3fNi1sz3j60PmjEE83ERz+GuEQO/gGI2WAN1iMBT6d5id5OH0z3/hgVVxg8FApJr0xKYgUZg900YD8dgCdIos1+ylPIQGagC53jJC/xot1Dco7eGvLKGjpcDT1WeXknM8JIuR+sxXYccNG16AIgIjh9Z63J5Dp7YDx9cBlP19B2GtEFySYAFFLhJC/xXTXHKiuQS3mrfhBZePtxQDOOGK35doAnMGRCoFYaM50hlxKCcTjngldWj83Qozfm1pNAYvZN2E8TWjNhPJLMftT7DtPEzvI5wJfg3gAwAATp6lk0E78/NPOvsThnUIpStZaLEo8fL7BvaFBnrcVm08G52xsoRqmVmSjafZoMrtYdXrzY4qcfT/DjDyeUZrYAtBb3BHiido+Tocntvsd60+JqTa/Lyz1eX+xxcbFPXk+cM5RlhiePF1+6+Z+k8ozYN+MTMqvO89slt3hPHkPWeex2HZp2SCBT2w7Ybnvs9z0m424vtcsVVqsST58ssFxWyLP70ecHY7DpB6y7Hv00YTAGHsCqKLAqcszzHNCgxaZbPPaF4MgYMQJXKwLa2naElBzTaO4OPFmHrhsxjQbjZNEPBheXDZ4+WeDHH07w42ThTmuS5GUSX3pNLPZDkgsa7PcD9s2AqzUZ0l9dtdQPL/cpzMCDAKf5LMf336++7A481Gct8lMm1lNdZsgzCedieEZgHh6l3n3JEpKjKIhFOrvKkGXyzlJh5zw22w7GEuNvNivwKIR4eE/3D/HlH6cJpPDBbiQCFZHhooNsqpYr5IK8fAoxR2sIcGrNFhMfMPCWJFfyDBVfIuNlsMXoglm2fAPUElCopEaJBSY3YAiJeQRQyeTzE4Gq64FPn2fcfwj8OYBOPC2TE8hzUN2wI+Apo31+Y6Qdpd8usUYjG4yxmLp89DlPVjDO2wAgcTDOj4CYG1uP5xMWAH2GJ9Nx+l1IhQJzKF6gEgvkvIKDAwdDxku0dp2M5jNeoZRLGD8FAGoGxUjqJ5lCLmZozRUas8YwtajkEqVbopITCsyDV9fdxgDx/EsWgccI4DFE3qFgGpmoUIoF9uYSvd1hM71MoFcpgYLXyHmNUi4gWfZ1AE/HaKZnAYtNFwq783Vv4qQ5TMKNswef2y9Y0UfHeY5KKiyzHKd5ie3QY7IWXQB6XrR7nLd7rLICK1YE82Oq2yCazsfjeZBTvWt1gzOWWDHnRYVfdY5MSHSG5HGv2gbLrMBpXqIzE0ql6Db5G/RVkitZDMbgauiwGXpsxyExTQqpMNMZaqVRKgXJPi2r649QJHNwKdExdhnBGTIhU2qdZO+mVxP70Ce223YgwPCyb9FME6y/PePtPhdnQCYkZjrDMstRBbknAPTGYN33uOw7bMchsJdMoOBev+aPJRC9NVgPPV53La76Hr2Z3nnLOU7Ou1mk6GHXPnet73sODw3vFRkwsvj+IYUSjIF5gNGb1ySy7HjbcfuMhj5g178z+n3d3Gd/Y5uHtrM4RkB05GNH/xb/JjTxaJtI96ujd8P7B4PiCE4fbzsdryNvmdjm44HIXW8vcZAOcFR1hvOzGabRwBiLthtxedWg66YkpbtNRanPOBkYS0yXpunTNvqBvFnabkRR6DBgpnQiLiiWnjEGxlkIY3jz/IRDEY7r4Xin4xnOn/Me3vk3fx7J6Ui+Y9EE0Gm36wPo1ODyssHFBQFPry/2EIJBSo4sU9huOwy3lCJ+baW1xGyWw3mP5bJEGc5T6k/vGKtEqZe1LoB4AzabDkoJ7PY92nZAP5jf3AZwuLY5ZzRhmxc4O6tRVTm0/vKeWtEXsB1H7IYBozEYjAUDkIngKygElODIb7mQEdMmAQJTHj+ap760bwZcXjWwhuSst1koiCy+abKYDElnd7sefTfCGgdniRF10gzo+hFaSwhOzCie+uNhDHTcB2/TF2O6b+qLAVRyN/oj9UVH+xakdPuG+uFu3+PqqsHlFaUkvn69w8XFHutNByk5pOQYhgq7fX8rKeJDfRt1fP0JQbLt7MOmZ5+0VEiQPVlVuLps3ksuHBd1KPjD4/nzNU5PKiglMZ8VmM9zFIWGlBxCiGsBDHdhiNwcn8T3ju/9134HjTU5Z7DOg3mSQTlmQWE2BsYTvMI9pwh6lpHEjh/YIxFMsN4AjqxpnLfJ9LuQc4yuw+AaMtFOyfATGOdgjlLxCFjQEEzCeoORdRHqIaYLRGI7xdHTzbspYzwBHA4Og+vQmu2Rx1MEYPhbwZrfPI+wMH7E4Now7/fwsJh8j2iWLplK273G6mLijXPJQG1VLIdjJDUbXQtmWQLaRteRr3SQyEV/pihHc27C4Doouw+AHp0vYlE5CCYhWYZkyI4Rxt885iRllJw+xzzAA1MLlmNyA4GLwiQQSDINx2kMxUHyP8V0OOaUSMfD/klH143iE+AoEXF0bXh1mPwA5hkm32MMZuzE6kKYQxxSAyPD7HjszIM0UHINwGN0ffAK83ReXEbG5YH1lUC9z1AfdGejSZ0IaNvRJCcRAu8WUM7BUmqaCMtV1juA8RuH9MsUA0OtMzwpZ/jTbIlf+Q5jMPF+1TX4v9YX4IzhH+YrqGD8HQ2gb1NkbuxgvINgLJgnvx2B5IyhVhnOyxqdNfh5v0GlNDZjj9044Jdmi0xInOYlvqtnKJVKxtTvOpLNNOF11+B11+KX3RZXQ4fRGsx0hrnOcVqUOMtLVEpDMn5rr4eHendRYqJALiQ0P9CorQv+YdOEwZnfBI/I14vSFa+GDi/aHX7erfFrs8Nm7JN872svBoYiAL/7osQ8yD15YPpd9i1edhledw0uhw6l0kkWexMgjXel/TTi1/0O/7m9wq/NFrtx/M02OOdgwgTj0K5D/DVA5y7KVAQjzxHyUHHBA476Nr1P71nnIRhL/iTRd8V5ukY4p147Bd8hBw/FOaQg8/jDd9K2pbiefBM9XG4m/nEWgXUO612aRCXTeoY0mfJAeg8gtpi1kRIdjmv4Huc9BOfIpESuBAAWAFafjhVnFBltPU3UZJgkSv5xVl2yTOJkVYFzhslYkkZtO6w3bZKc3aXixLcDyX04Z2jbAc9fbLFcFlguStRVjqIkqU+Ra+S5Qp4rKCnSxJJzAqaiITItUrI3ACXn6HdrAzAdfKpuvsaJUunG0aDvDfp+RNdP6PspxVW37Yi2HdBEqd1+wDQR4+4+rKB/6pJSoKwycM4wnxUoqwx5rhIw8FsgJIEPDNNksdm0ePZ8Ayk51psWY5g0/R4WI4JRtFISdZWHBKcCWSa/KEsu+Tsd3Z+cc9BCIFeKwkSkhAcBU+R/d/eV9KIgCacQgky0AxDTtAPaZkDXT7+/kaNyjjzX4IGLywbeA7t9h+WzNRYL6otVmYW+SN44sS9KwUNs+6Ef3vSUiYDSMbDk4v3OOhj7Zj9MfXGwGEaDvp/Q99T/un5C31G/bNuR9jsAw/tmCObpuAfSood6qN8vpchLcTq3WK8bVL9mkFIkEOm2JHsCnB26bsKz5xtwzrFedzg/n+HR+QzLVYVZlaGuc/JwE/yDgxgOfocexgaA2NoEgnvvw71awAsPgQK1OEXPVYi7J8aR4QOUz6AYefgoFLAsgwM9Sw5eUAf7BB//DdHTZwbrCbjo7R69azA4A+UITNE+h+IFNPcpIc1HZsKtiyUQJeMlrB+xnV5ict01mVUEcMQdVUvGjWj9BoNt0DANGYzRB9eAMY6ZOkMuZpDsdixjziRyUWOuzjC4FtaPuBqfJV8jwSR5IMGhlitkgtLgKrlEZ3doArtoch0Gu0cj1pBcQwVGj/cOuZiBMRGO+R6Da6BcTz5P6ZjnYJ6DO5ozGz+S0bvZorFrDK4hryocZITWG2KmsSZ99pCISG1Oi7Xeh+S6AdaPaMwV9uYKjblCazZo7QYTLxJDycGm/b5dRdaYTYbnJr7cSO20LXqzh2AKGUp6Fn4G1tMHAU+RXieZPLCfjgYlB23n7YozQAYjbxm0ipbgaIiwUvwlizGGmSLgaT3vMTqLq77Dfhrxsm2g+GsY5yC5wFlRYZHliO7xt2l5NDgerIUWv63l5oyh0jqg8g6neYlKKTAAu2nAYA0k4/iunmMzDFjqHFBkDv6ueUYzjXje7vEfmyv8fb/BVd9hsBanQuAkL/BjvcBZQd8TvZ3ehq4/1O2LR+BJygRUAiGZMMgmR2t/Uy7pcGAKXvYdnrd7/G2/wa/7LXprYL4RxhNjJPUUnKEzBossQ6E0BCPgqTcGpVKBvdRhoXMwEFvv5q00MoT244hnzQ7/4+o1ft1vsZveDUZ4EMAzWXttosoYo8kMODyAyVpMllbHYiiR9R6TsRitgeAcXtBKz2QdJmsxGhsYBR4KIoFRzhMgI8N9ZLIW/UTSn1xJWq0I7xtLYBfCMToenfkAak/GXrsnc84hOYPgSMbqNvi5RVNhG8A2732g/FPizmgNRmNhnQtsKZJfR3BMS4k694nxYwKAwsPxEpzDOheOl0MmBTLGbiXjuU1lWmG1YqjrjECDbYerNXn7OEtSqbuoUL33mCY691HG9uLlFmWhMZvlmNVFmvQulgUW8yKs3BbIMwWdCWSagAYZgCia8NK5deHYU5peAALMgcE0jiZMYKcELPX9hLYjMKltCVDaBZbTME7p7+OgmhhRDtYS4MI5MZ6+9VKKALY8U5jPC1QVgYLDECciv/338dxvth2ev1hDCI7NpsM4mltdQ0JwZFqhKBTqOkM9yzGfFcGU/suNayKD07kD8GS9R64UKk2WAtHvabDk/fQ+oQvEXBCYz0u07RD6YgtxyWCMfQ/giRIZjbHBmLvDs+cSZZVhHmLZF4sSy2WJ5YL6YOyLWlM/1FoGMFgcTWhZAPIdXOiDNvZHYzGFvjgMJgC7x30xeKgFYCmyDSN7KYGcJgYX2GuML84ZnPv2++JDff2lFDFIheB4fbFHFQI3GGOJqXubiuBu30149myD7bbH8xdb/PjDCrv9CZ52I87PZuDiIDGkn+93z/Qe1JcDM3gc48INgcXjQEbSBFRrqMxDqAKV4uCeBcPwPRwsJp9DuxyZMAA8Ypx9NHKOhtFaFCHdzMB5etCwAErlog7MFRnAgAsMdk8gkM+Dr5MPzHMX/v7u91/BJAFPooTxI7YTpcZV8gSVXKESy/Q5we4GC0x+gLUNrJ8OrClEU/MCM0XJevKWcjLOBHJR03jTXmFvLrEzF7DOBPBJQDANxTNUcoVSzFHKJSq5xOSIHbSZXqK3ezRiE1LkKuTiwETLRU3m7X6EMQM6uyPw0A+UBgeXWGWR9T+6Fntzif10id7uMbqOFl19xD3IC2zyA5hjaM0Ge3OBvbkiBpPrjzAS+hmBKudtku5FWRyZ0g/ITAXNS1p4dsOtn78EAB88sBL45CYYNmLyA4aQyCg4MecU/zwes+8NPDHGoLlGKUpYad+aYJfzHJrrW/s+SS5QSY1VVoAzhu3U42/NFXJOppaZoOZGOcm720XJcx/b+JoBqLXGk6pOBs4XXRuS3yxetPvEiqqURmcmZIIYFzKh9EcraggDPu9g4opjYEAsdI5llqd9fltbMi4gFMMqL/CorPB9vcBuGinRbprwqmvw9/0G/7a+wGgN5jrHPMuguEgsDVrtpMHm37Zr/NvmEv+2ucTzdofWTFBCYJkV+L6e4y+LEzwua1RSXwPFPm761x+rFBeolMJJVpBvkZDgYBgMScCeNzvMdYZaZYkRFYFMF1are2tw1XdYDx1+3m3wumswWvPNAYIMCKb9HDOtcZKXeFLWuOxbbIcB27HHeujxrNnh3zYXMM7hJC9wkhfQ4uCRZf0hwe4/tlf4ebfBr80Wm3GAcQ6ZECli/Li89xiMQTNM6KcpfIb+TQliH0XJymAMmfEriTwkS06WJi6C8wAyWRhnE/ikpaCJnvfoR4NumjAaS4CMCoDbaNBPE4zz9L4MIQeGwCspOOZ5Bl7kSXIHBBP7cUIzUFBAnGzK0G4leGJEOe+Dt15gPB0xvHIlkSmiLg8TSXMm64I0OLA2Ld3DpsCOsIFxF7fPA7NLBiaYCw9IAqQ+3lVLjAaNPAdOT2t893SJphkS0BLTte4iu4uSNmMchoFoz1vZYbvrURYtZusw4V3TJHcWAIY8o4nu8WRXyoN8IAJ8Nsp07GHCa4yFCWyKxJ44enUdTXbbljxk9nua9MbV59+SMdHA/8OP9X0vYrVwKAWUlcZ8VmC5LLHf9fDO30rWNBmL7bbD8xdbcM6w2XS3lkMpJVDVGZZzui6qUiPLvryUxh+NOyKjUQmBQknM8wy5VBhtAMwZf+/kxni9FwVwdjbD998t0XUkh/MeGEebwNDb+vMd98U+AFd612NbdsH4uMVyTSDwfHboi1oL6otKXAOBk7VB6IvOugMAFcB0cwN4utkf22AaHkHgyGiKDIt3jZUYexhHPdTXUzHVTgiOxZwWXBYLMsKPJvq3Le/p3rrb99R/uhEA9bm+n0LaY4e6ztMzVAiWLAKu3Y/8YRYaJXSIEvXw37EPx6TayFQcBmIN8+APuVwWqGuNvBLIdQ1wh0E0GEQD6w0U19ekXoppCB4lZQySaRRyhpk7g/UTSe4A5KKmz4ZkOwYOSI/BNegdzSEjQyempimeJV4NYwKKZchEETx+ZJpjS5ahEHPM1TkKMYfkmsbNLEch57B+wuh7AkH8AVz5EFJHJKB4BLlf8HmKZuuFmCMXVTLZ1rxAKebh9/INoIszAc0LQBLYNrkePduTv1bweVKcQLuCz5CLGQpRIxMBYOIVclEH6VtIm2MRNRDEJOMlAJBnltjTsQvHXPEcih3ke5RAF6SNEKHdefqZC2qD5iUZpkMimpyTBE+BcQbJFDyAUiyQiTpJEOnYRfmfCgw5n46D5nnyrtK8AAODFgXJAJkOPlk87UMh5pjLMyiew/gJrVnDeYtMlJjJM+SB5ZbxCiwcA25IMpr7zxMs8/7AExhykWOplshFftDCB3QWACSXqEQFcUvpRC4kllmBp+UcgjE8a7fYjj0BJirDTOVJ6sHf0VEUJ6BkqYuPDzxFxlNF6VTbscdVH8y3vUNnJjxrd5AXHPtxwKOywkznCVCIsjvvfQKYIlOjM1OQ4BBg9tNsAcZWWOXvTjXhjIwIC6nwtJrhv56cQ3KOn3cb/LxbYz+O+M/NFaxz+OtuHSbhJYpgyiwYw+hs+H6D5+0Ov+y3+Ptug8aM5IeR5XhazfCXxQn+9eQMj8sZKnU7yuRD/X5lQmKVFRgri2ftDpXSEJyhNRNeNDti13gXvIi6JK/iYDQhcOZIIkkSs90woFYZHpUeV333zUjtgPiQ89Bc4ryo8E/LUwJNd2sMlvzN/rZbw8Pj1/0O52WF86JCJiTdO0DG+a0Z0U4TXrR7PGt2WAe/NsU5ZirD6GiydVzOe7TjhMumxabrA5BEII4UBCY5T+lQw2QghcA815jlGTjnCcCJ3kc8rA4S+OKQSYlJEfPnsu1w1XTY9QMqrVBmGloKDBN5rxjrEiPJh+/sJ4NSKzxdzqGkoH8HfWY0Ftuux8W+RT8ZYlkFZqWWlJhzPO+JAFSMVmdhQroocgKNBMdoDJphxGBskAnSwz3+nXV0HNZNB+CwThe3xxgtNihJx04Ki8x9msl4VWo8fbJMA2bGGMaR0srallKm3rci+wJhEj8MxMCI0p48U2lyKwVPq7eRCRY9v5LUzns4F0GhIO9xYeKbPG7oJwFSxIYaJ4sxJGPZIBl4mMy+WXmmsFyWePp4gVeCkwyz/f3zH+O/+YstGAe2uw7G3O7eSql6BZ48XmC1LG9tbv6pK0pwjSXgN5cEBM2yDHWWoVQqsSAZY+Tt+IHjqvk8xw8/nEBrSX0RNPGMgM1dJq03y1rqfz6A3H0/YbNtUz+Mk2XyjeFJ2syjNPloUecNuV0ChT2MtTCTu9YX6UXsiXE0GMZDX/wt0OmhHuprK84JTGaMJa+np0+WkIJjvW5vzQQ9Lu996L8TLi4bGOOwXrf4e5WhrjLkhUamJUnu4vgmAlBpGwe/pkOf9UdAsj9a1Ln+MoF9mOcK3z9dYpqWAGoISUl7pZwD2kPzEh7RyFomaRmBTzkUo0TCjNNEXzJNqWtBIlXLFQErYBBMAFwjQ4WFegTFMky+B4cMjCky4VYsCwyZCdZP4AHAiSl5BN4w5KLCUj+FZBq1PEEhZkAAKmqcQLEMxo+JSRXZQNHL6H1kVhGgEQHoiSl7JFcj4EQGYI4zgUquwJmE9RNKuUzHKxZL0kAAcgHGODJRwXoTgC0C9QgcigltOQQUSrnACX5AJqrkIyWYhORZ8FM6tBMA5uockulwzEUCiuicZgEYCu+HBMHYlmhqrniGjJfQokzXBGcCTAIqAIHEPLLpuoiG9JFhRtcGg+IF5q6DCec5srPieYznn663PDG4InhXiBlO9PfQvIDzFqPr0Ns9PDyW6gkW6jExu3gOBkEyQ7uH9RMyUR48pD5xfRjwxHNorWH921f9WOhY4pYXcyYkVrrAd+Ucl0OLX5st1mOHs7zCeV7jLC8hgrfQu9LUCkkXVCkVCnzctBgGYKYzZFKiUhqXfYdXXYP10OOib7EbB1wN5LH0836NhS5wVpQ4LUrUwRdJcgHnKcJ9dBa7ccB2JLZGJiRqlaHWGt57rLLfjtKN7JdSKjyt5vAe0ILS9l62e7zqGvzH9hLPmh2WWY7HZY1HZYVKaajACuvMhO04YDMOuOzb5PGUCYE8+Ok8qWb482KFf1mdp1S/h/o4lUuJZV5AcI6/7dbpOmmnEYM1uOg79AFQueha5NGziHM0E4Enm6HHi3aP5+0Ok7NYZQWWWQ4tSLL1W/Kxr7EI8Rd4VFb4L8tTeFAi5otmh8u+xV+3a7xqG5zkBR5XMzwpaxRShfsGw36asBk7rIcenZnQGQJ/PTwk55jpDM00wt2QKB4DT6+2DbppQjcZWOsSa8h5T++PBpkSOKlKnFSBcRUAJ+9jXKwPQFqQEarAFLISr3cNfl1v8XrXYl5kmBc5Sq0wGgKMjLUJtJqsRTcRE2pR5JQiVRXIVWRaEki57Qe83O2x60f0I7U9kwK5pqh08pLi4AwYjQ0Al037VigFwRmqTEFwjtFY7IcR3WigA3h0zIRM7RrJsJ1zOv7RTNx7j1Jr1LlGnWnkUr5xzD9WVVWGp5LjZFVBSo5xNNhuezDGYI37KMDTNJFkaCf6JEmMZufRP4bFFVoW1xgPv5NCIazY+pv/fWQuHnygjv87DrAPv7s/BJPpfSrPFVYLSpWLBtW3KWMcmVn3ExgYmc2b2zGeskxisSjx5MkCq1WFvLgfz9DkKxmYiJmkZ0udacwyjTKMRWIoQLxHfEjNZwUyLXF2QqurfT8RoMcYpsA8eO/9cYf0ya6fsOFdkNEFX7nAPE998aj/XU9OoP95V190cYIb+1zsn28Bqm7L4Hqoh/paijEW/NEC8HRS4emTBcnQR4PNtrsz0OqcB2MhRdbssd20BDAJWrBRSiDLJLJMQSmRmMNRSZJUAMEb0RzLWaNk3dpDGMdRUMCxufh8nmOaDJQWKAqNsszAoZALmujP5dk1dc8hFY1MnnmYm2pBDJhKLnEc63KcYhZNnYUQSTrmj8ZA0YibzMOjRQSBFNe/j+5dOa8hVYa5PEsG2QASO6YUC/Il8uRNFM3FCSx5P3NpxXKUchFApDwBcCIYXyfz67B9ziSBMYHlczPRjQVT7uiRlfEKc3V2uJ4YAvuIg8UUu8CyKsUSGa+wUI+v7Qm1IbaFJaNz+bvHnCWwy/mCvJb86nA2PUksRQCnWNRjMQLkcjE/AnN83DsIJtPxiPJUzQvUoS0++DPR+RUBEGShnT4dTx72m6XzP4PSOWbqDFfjr7gcf8Fueo25OsdSPwlJe+TDZdyIV8N/Yju9hPMGtVx9BcATY5B31ILebsN04qOnwH4akudTZDpFM9y3Va00Fjr/ZCwPFSQiHAxPqxn+cXEC5z2eNTsUUuGq7+Dg0U5TkJtYNNOIXCoyDGccDiT1mZxDbwyawL6Ya5JTwf/+amhKYwltWuocvqIB0H4c0EwjCqnQW4PBmJBOx9Bbk4ALyXlgiVCUfG8oAa2QEid5ibOiwnlR4i+LEzyt5ljlRWJKPdTHKck5ynBtPCpr/DRb4p+WZ3RNhHOyGwc8a/bojSHJqRQQjJOkyxJbrTEjGMhw/nFZ44d6gc5OmJzFZd9Sshu+tEvah9UxpVpyjoXO8V09J3BtHLAfB2RCJibY1dDBA+iD5DX6Fg0hibIzExQXWGQ5HpeSWEDOYLSkox+dTTIxAETZDqtnJI9zyeOIBjzk8WRskB37aN4LGGevGYALTm1xQV5lHW1rsgpaGmy7Abt+xH4YE5sqmotPweQ3GlGbIM2Kcrj4ELq5EphYM4HtNAawjbyZfEr/O/aMssmvgB3YEe4AdjXDiH4yYEwnX7rIkOgD6NROE7w/sLyOK5MyTXjlRzAOvX69HH6XUqASHEWu8eh8Th5Ig0VdURQ0GAg8GonBcNeiySV5BT2kUd2/Or4W8lxiuSQQaLvr8er17lbb8N5jHG0Cm5y7vTyKGE8lHgfGU5HfD+ApDnzj4Dd62PWTQSMmIID8Wn6YdcHx8deaJo15rvDk8YLMta3DyxdbKCUg+D6x+G4rgY0VJ5HRtPihHupbKZp0GsAb0ERJIsbBf/i2Y39xACy8HwEfFmNYDsZysKP5XgrFAENZaJyd1vjpx9Mkj7tat0nGfhfgNfZfCsu4/m9CMCgVJLJKkE+kPPbQZdfCAG6ymay1R+zD32iD82j2A4Z+gpksnAWY58SCgT46XgdP4wPgcLjRCRCb5bfv9LHtIgEwt9n2u0owBfGWb4xtOd52VCcdpGi3LwKHRGJ66cCcygKTh+RiB9DmuH6PVXVINuYA84hH0B/9b2wFcH2cyxmdowxIAE4Eat52DIkplN/qmHN4CKaOPnNoR7oC2cFKJzLW4rINO/r0G21hAD4CUUYyBQkF7XO0fJ0M1aMUzwcfKuuIORUloR4EAH6Me8mt2vlZvuWWZRzJ1bYTGXcLxlDLDIpxGO+wnwbC9hi7drEdlw+eN79lxvyhxUAT30dlBefPschy/LLf4pf9Fi/bBrupx3YcEqvpsu/AWId3O1MRQ2uZFTgvKzwtZzjNy1szizhjKKQEUJCXjLPIpcKv+y1edXu87Bp0ZoL3HuvhsLrLQI+Z6DeVCYmFzpFLiafVHN/Xc3xXz/FDPcd5UT4k2X2CEowjCxP2p9UM/3pyDsEYnrd7PA+sNcE49tOA3kwEWAQAhQUQVnKOVVbgaTXDKivwQ73AD7M5rvoeu3HE3/fbIPP8MC33fSrBeJJ8kq+SgeQc50WVWHuDNRiswauuTYlxMS1ScYGZznBWlHhc1nhc1rjouyRZJMB4QueOTcQBwRmUkMiVTA8g61wAkgg0KbSC82T+Pc8zzHINYx1GQ0BSJiWqTKDSGt00YTAj9v2IITCvtBBoxzFslyXAhkChA4AjGAMTDBo+feeyzFHnJMuLyXHRz00KkeR85BVA25CC+nVkYcW5nhIcmonkPZVrYjwRqETMrmaYMFmLUqvkQ2UGh2EixpR1PrB5Dtsm5hNdw5kSqDKNRZkjkxJKfJoHX7xlcc6wmBf48YdTFLnGclGgLMn4eLNpybdn/wAcfcsVpXbWOrx6tUOe32UY5OEcS7/fphgD8kxisSjw5NECy2WFPLsfwBNP98MDW3M3DBiMRTOO1DfzHIs8h9Qfp28yxkAYFsdqVeHPfzpDVWb4eX6BvFBQSmK7pb7YfgAT8aEe6tsqC+87eN+BluALMFZ+pG17RFDL+w7ObeD9GgAD52dg/CwAXW9WXiicn80gBIcxFk0z4OJin2Szw/hxWBTOEesUnhb3jtnEaS+O2UtH6bDHr49Zx3DCxy12Ddj4VNt+H4YTEBPtdZJtySD3YtcYOJ9irnGXbR4Aybt9/t1/c/N4/fb23/z+u7XnQ4pke5VcwsGCgaM1W/R2n1hiAEjuKBbJG+om++xT1f0CnoJP0nbsMQQzy1plyXi1meIg5N3dhTxczCeTbMSiSW6NZVbgh9kCj8sNHpU1ftlt8Guzw6/NFhd9i3aa0JgRo7UptpgzBhVkd4WUKJVGFWRtj4oK39dznBUlyjsBT4qMzKVEIRQelTWZLK8voDeXeNHusR46bIYevbHBUNxBcZH+bq4yPAqT8D8vVvjL4gT/MF+hkBKFJHnNtwFb3J8SjIELCcU9nlQzCMZwlpf4vzYXyNYSxtN1v59GdBMZqEYT2FIplFJjleVYVQV+qOcEOtULfD9b4Hmzw9/3G1RKwzgXGC1fdn8/VgnGUCmNQirkUiaJ3Fle4t83lwCAV12D1kxopinQigl4mmc5TvICM5Xhh3qBf16d4Z+XZ/jr7gr/trmEDcdc8Q7dtW8l8EoLMvtGAIFsSCRK4FbwQMqkQKk1ykyhGUZsO49moHvYLM9QZSoluu36AUpwqFFACYF2nA7AE2dg/CCtTYyp4Kt0+E6GeZ6jzoh9FBlMwGGCqaVE7lwCo5LfEgAbpFvWU5y64gJKimRinikJznlK3GvHCU0AyDwK6JCm1wwThuBzFeWECPc+6z0UOIQABOfIpUSdaSzL/JOD2nGVdj4vUBQaTx4vUFYZpKR0Pc4Z+TPtbye9eqivs7KcgCetBP7288WdQCB/h8Qm4AB4HhhPc8zqHPk9YTzF+4ITAtYR8LTpejTjBCU4qiFYFyiFj7EiGytKdU5WFeo6w6NHcxS5Aucc3pEPXtdND8DTQz1UqgA8uQ0ACXAOxnLgjcze9ykPeAvvB3i/h3Mv4ewzAByQHIwv3jn2L3INcc6xWJToe4OLiz3+PrtKDOmPBTyRBxSxluJ9NbKubnzw2h063rM/PhfhUw+mP+X2303euN1fc0iuoHgRTNV1koQRq/2+TDTu2o7f//zdjtuHHOUPK81zlHIJBo7GrtGaTQCeiOUmuAqJgAsUYh6Ap88DCd0r4CkPRsvfV4v3lsrVSmOuc6hbGprfpW6mJ2RCpAnaFBhahZBpYns1dEHGRql30XSXB8md4hy5VCilQqkUzosKT8oZnlQ1Vllxa8ZTZC4I0I3YZTmZ9fKoNZY4Kypshx6bgUA9GwzOFRfIg3zrNC9xllc4K0p8V8/xtJrhtCiTKfpNmcxxcVAbSqnxY73Afz97gquhIyCrqPF9PcciyyFvUPkyIbHKC3xfL+A9eR6tsgL/enKOJ+UMuZBQ/KCbjiW5wOOyxn87fYxCKpzkJU7yEt/Xc5wWJXSIq48JWnOd4R/mK/y/Hn0HBxDLpajxtJphprM3JryFUjjNS/w4W5KBolRYDz3+aXmKs5zMqlVggB1XLiW+r+f472dP8EM9T+36abbAKiMvp5vnLvpLVFLBBSNsG/yGaqWxn8bk5+TDAzR6exVSYpHl+K6i8/WkqnFeVFhlOaxz+MflCS76FsY5PKlqPClnOC8r1Er/5vnMhMBcZ3hUVvjz/ATGOZwXFX6aLfHjbIGn1QxLnZM09I410xn+NF/ifz5/imYaYTxJs/7L8gwnv2Gmf/O4ydD+ChqneQkGRmCJEMGDrUUTgN/Y7zhjmOsMy6zAKivw42yBH+sFHpc1jHdwPkpXCzwqauynAX+Zn2Ce5eCMUt3mRQYwJNDIBflcvNYEDyyCCNgEYCwai5daYVXlmOVERyYgEUn+KjhHlSkMRY7JWcjwfpzwMkbAW6FUSplTQY5XZeSXpMQxBR2QgqPKNE6qAqVWyVw8HU8Qc8uGe5QKvk4q3uMkHdeUvOccFkWGyVRw3mNVFqhznRYJvAdtP4z2XDDetp6u67j9RUneVdGL6lPV8bZVSLPKc4/zsxmGkIhVFlnwdNBouxFdN2EYpm/aM0kIDq0lilwFmdN9GTB+ulJS0GSJM8zqHHWdo6p08AG5fcLh75UQHFoJKC2OvidDFszm70NZ7zAGaZ1xdD/gnCQro7FJdmtvGNV/SF89liNErxYlBR49modUKYay1ChyhdcX+9AXR4yj+SSshftQDIGRqiWKXEMpmeLjH+qPW8cSOO97eNfAuQ0Y02A+D++P8H4AfB/8f8gHhq4qAbyRKu6PXhJg8TPxvsfDdqM36ITfkq0KwZExBa0kTk8rfP/9Crt9j5evdnj9eheS5A6ytw87HtT+68/iz38/+Fxjlfu67ZhIV4kFBFfJQ0ocJax9nO96f97XXb7/Np/92Nv71CWYouQ6yVIPiR5XAIPkCoVYoBQLFKKm9LyPAmL/ft0r4KlWGX6oliilfm/GkhYSJ1mJXHyeFUUGkt/MVQZeEgvjvKzwp/kSnZmC3wxJTqKkjQWQhrPDRFlzkg7NdIaZzlBJMtu9c3sYQyZkmnRKRjKsZhrR2wm9MeQPE27ex1T7QipUSqNSGgudYZ7l1M7fQceTlIdxLLIM/3JyjkIpdGZCrTLMlMYyI6P1m1KaSmk8rWbIpcLjssY/Lk+xGbok9auUDhPv69+vucA/LFYAY/ivJ+cBhNFYZBkeFXUC7URAd8+KEv/T2RMsshwAAZS1ynCSFzjNizdSEucqS9//XTXDP6/O0JsJ39cLel8qSC7e8LuqlMY/r86gBRm3F5JYSSd5gfOigvoNnwwlBCroBBjOdY4f6yWG4Ds0WYuoRD6ALByFUJjrDHOdodYZ6mAeP9cZ/mV5jkKQDCteW8ssxzKc23dVKRXO8hKZILbb9/Uc23FIf7sMBubFe1yjJ3mB/3byCDOdJSag8w4/zBZ4Ws3vvD3BOEqlw7VPErrvqznao/6X9OyMAO5okr/McqyyArmU6fyc5gV2ixH7ccBoLf40X+KsqAjs0woAQ5lpAlJc1MpHRs1BDheBJMk5Ci0JcCoLKClQagKbcyVQZQonVZG86zhjsCH10liLdpzQDiO6yRztM7VlWRaoMh2S4TgySd9zk52ohcAszyATY4lAoOMxm/M+SeIOjCp+jVUlQl+Mn6mzDIAPgBcBckqQjPB4+3G7CXgP2yq1QqG/DPuDMYb5LMd33y1RVRqLRYmTkwpnZzVevtzh5astLi/3lB5n8NEAiftUEYSZzXIUub43gMinLM4ZtBbJGHc2y7FYlOhaivL+WOdZKYGqylDVGRaLAlVJqUxS8nsDKkzWEit7GGGcgxTUJ42l+8818118AtFHYCxIybFclmAMqOsMy2WJk5MaL15uUl/cbrvQF+23Bz4xul7KMiR4ZfKNRaqH+iNW9HWa4F0L7/fwfgv4DJ7PQSDMCO8u4dwFeTPBAt4CTIKxY6Zi7L02vED+TSAPJ7AMjGVgyEGAFAduMQ9jLILVwGJe4KcfT6GUwN/+dgGlBMbJogvg8bf4DP0jlmAKOa/AVUyOU5BcJZP1h/ryReBgDs5ESMerYPxBNcYhglQyC6l/f1CPp1ppFELhSTl7720QEMTfmXr3KUoykvlUWuPcHyZYcbDm30DoD21NJuGMHRmn/z7D6F3FQWagSpBp9SovUnvixPJmWxgLxMsbbRB3aAMPf7vQOf51pfCPi5NgsHYwgxf8zTTCUinkQuK8qOH8gXEhjybtb4O9tBD4h/kK31cLWO+STEcw+g4ZJt6RiXJWVFhkOf715Cwdp8RQeQtzaaYzlAEUs0fHj8zlRQDC3mxXpTT+aXmGf5iv4L0/MGEiEPEb16XiIpmNL3SGH4I0KV1HN05cBBfZ0bk6Pn9zneGfV2f482J1OEfps2/u8/XzopGH6+f7YOAdDajjufytdMnfqpO8xCy0Le4b7T9/L6Yiye6IObjKCnxXu6Pr/fpxuwYQAdeuy0wInOTFtfPtvQ+sRjpepdbIlbrRj25OyQ52gowhGPce/AYO7Ch28CCIxuDhnMZNG2vxfLPDs80e7TglXynOOcpM4aQuKMku9PmYpHYTVFRSYC446lwfUppurBRGnOgYpIs/EfYn/D8AkgvGdh/fr+pMp5QnFj6fkuxubPt973MfWvErZ7McZUWyu9WqxtnZDOdnM/xb/jL5VQCAtd/YRDeUlAJFoTCrC+S5gpTf/mRXBBN7pXwAngos5uSVMk32g1LVjisCTyerCotFiTIY2d8ncG+yDu04YjcMMNZCcY5SKfQwsO5wH/yUxRidk+WixHyW49H5HCcnNc7PZjg5qaD1SwzjhL6fUuT6l2A5fMpijEEpStGqqhxZpiDE/QAnH+pLlifQyQ/B32lPUjtWAn4gYMj3cO4Czv4d3rfwfoL3E7GigjH49fGJgfcGgAfjMzBWg7E5OF8CrAgAlAIxn27vY8cYw3xeQCmBs7MaWkuMk8V63YIBMObj3Vsf6suWYApcCGjQc5OlWdrDPeu+FCUDSijkyEV9ZLZOlc5ZIGd8Pv+pewY8CUbeHx9Hs/xp6013fHYvWn2c8AAGyDdotp/mO2NFgCW/5d/Gc35XzgMPzK7slgddBpZFcctvEjySDu92VgWjpI38PbpW0kYz4E169N3rcC7u1pZ4DVF7Pv71c5COfZxijEEcIyLv2RM5E797pBjDG+y444ogV7y9p09GeYm4/j6nDd74/JEsTHDMihyDscHYm9hhUgicVCXqTCNXJOUTwSScpa+8QVP+nXvUcdvfto2b9bZtRbD5jf2P/37j/S9BSb52vxIMQnB46TGfU7qJlCSL1FpguSyx3/XY7Xs07YChN+j7CeNkknTgvkrwOGPggoc0IAGtJbSSIZJaQmuFk1WJk1WNk1OKw66q7Es3+5PXcSJTUWisliUePyL2QN9PQDP8zhZuV1pJzOcFHj2aY7UqURaazFfvAQ3/uNKUIS7ecGJORsZmEUIDPvr33jgOUtLzhnOGxYIk15EZlmdkYLzf99jvB7TtgL436IcppWfdZzYF53SfOcgvKZ0ryxSyTKIoNE5WFU5WFc7PZ3h0Pkee/3668UN968UAiMBeik9cAw8DH1hLlKBrAjg1BlDJAOCBAUWfSk9fpsF4CYolQTArt/Beg2EO4GYIzW/3/ZsydoCYs48fLdB1ExhjuLjY4/XFDpeXDfqBQOQonY2syvtX9+s+/aUrMvxTinMgMghGnqaSHxZY4wIjD8/auOgYx5ZxEfNw7g8LsgCuLXgce38eM2/j+z54iVnvri2qusTU9elZFtOZXVhljUE3jMWQLQBxwZSxsD1/jUTwNQRsHVLvj9p5j5p8r4Cnh3qoh3qob6HedY+/8/uModIKmFWoc51kL5wT+6pQCiqkIh6DTp+i7R9jG/fo2fdG5ZkC5hT3rpXE6arCjz+c4vJqj8vLBpeXDa6uGlxeNdjte4yDweDvHvn+uYoLhkwL6EwSs6fOSVY2L7FcllgEhsl8XmA+y7FaVZjVt/NY+1YqzxVWqwpPniwwDBPWm+73/+iWpTOBxbzA40cLnKwqFIW+d+EOJHulZEsPSp1kIC87wRglcGqSbn+upnPOUOQkndaKpKDnZzNcrZvUDy+v9ri6anF11aBpBgyjSSlW97GE4AT4aok69MNZnWOxLLFclFgsCsxnBebzAot5gdWyRFk+AE8PxQh0AoNnGoeFQH/0MygZgg8TcbmPGUsG3kd5nQdnNSXVsQWcuySZnm/A2AzwE8Def/GBMQYZEnXPzuoUIPDs+RrPnm/w/PkGl1f0HN1s2+T9dJPN/8UrkncYu3f37C9VzvuUvGwshVNZ56GlQKEUCiXhvE9WDsmzlPGgInDXvFYZovcnnfv4eTBi+k9hXCVDWI8HkjrgYGXBYBz5FI7GHoAvj9Q+5z1ySUnUSggYR9v2wctUS5EAKQrKQVKQHL7TgTOys2Di8z0Lv9V6AJ4e6qEe6qHuaTEAZaav+SAdVo0QaLIP9TGKWEASs1mOk1UNax36fsLzFzRgfvZ8jV9+vYKHh7E0yJmMxZFH+70qwck4vCw0VosSp2cznJ3WePJ4gSdPFpTqV2YoS42y0G9EU/8RqigUVqsST9oF1usWmd58tG1rLTFfFHjyeB6AJ3XvJjFxAK9Cqh1jFJSQB6+4UimUWkOKzyfBZIyhKBTyXGI+y3F+PoMxDvv9gOcvqB8+e7bGL/oqMZ2c95gmk6xr7ltJwZFpibIk6eXpWY2z0xmePqG++Oh8jjIEG2SZSlHxD/VHLwaapkkwZIH1FA3Hr2W3BT8mjwNjKYrcLQCS3wEuMJ7OIPhjeAxw7jm8W8PzU3gYMLw/8HS4bjlJZVcVrHM4/VuN+axAkWtoLWCMDYmVJvi13TPg6eao6qErUkKhMWiGEYOxCcAptQIDC88QF0J3LJQQxPAXIL/SENIijlhGxgXgEeQNysIlm4AkkK1KLNoOgVqaAQIEPA3GoJsMXGRjOY/JOUyWQLA60+kKG4zBGJLdC6UILBUcxlqY0JboawqPIyCNwoEIHHu4ID6k7hXwFD1VHDyaacRuGrCbBgzWYLQGg7uewpQJCS0EcqEwUxlmKkMhFZlhfyHvkId6qIf649bHn7gfUg8/dX2Mtn+twMXBa49o4UqRRI0xhuWypNUxTZ49pyc11psWTTOgaQZ0Pcl9xtFgMhZmspSQZg9JPs45OOeTNM8fpYTFxd5I706yJ37wCGOMXZPrHL+kIHmvFJQOppSAUhJ5LlNK36wOzKZ5gdWqwmpZYjEvkGUKWssgkfjjVZ5rrJYVvAeccygLje++W36UbT9+NMdPP53iyeMFFosSeU7BBPeporROMI7RWqy7Hu04Yp7nIVmY0tZy//mGise+l4yRxEEIkr+uVhUAAolnsxznZzNsth2adiTm03CzLzoYc5DiWRtWwY+SKn+zLzL2xu9JwvqW/iglhxAhqU+J9CpyHfqiSsym+bzAyaoipuEsR6ZJdvel+6JWAk8eL/Df/tv3WCxKWEshF7cxdE+SXi3xlz+f4/Sk+mqfCQBdZ0+fLPBf/+t3OD2tMQwGw3g7lmu6NwuOf/rHxzgJ1+7dihhLJKVr4N0e3u0ANsK7LRzfklTOj0hLUiyJmei/PUBAlYX3JvhEXcKBwbs9GZFDhH/vQYbl4Xtg4dwO3O3goMGYBPBuE+Ljc03zcwHhORaLAk+eLCAEx2yW4fS0xuVVg7Yd0bYDum6CMRbTZFO/nUK/TX3VHdgssc8e91fguK9GEIyH/kq/v9Fnw3NTSuqzUgosFyX+4U9n+P67FU5OKpSlhviMwPt9rchmGozBYGwKqGnHCdZ5NON4NH4BjPMw1mHkHPuBwnq6yZBPbrh/JgY/Y8GnVCRAyljy7o3J0JO1aMYR+2GE4Ax5YFnFtrkgt7PWp6TsFOoV/Y2BtJ3eGDTjBCWOJHju2AXJH3xPvUehFGZ5RkwrXB+rPdTd6l4BT96HC8c7XA4tfmk2+KXdYjv26RWLM465JrBplZX4vprjh2oByQ70vvs2yHuoh3qoh3qo+18E9ABScszqHFJy1HWOs9MZum5IE92mGbBvBjT7HvtmoIF0SPAZBoNxpInKNBEgdX0wfRxRT4MvFgfL/AA0cU4gmJQUt641Te4yraCDX1OeKeS5CubEGlWZoSg08lwhzxSyXCLLFPJM0udyjbxQkEL8oQfVRa6AVYU8V6irDN89XWL/kTyeqipLMqoi18hyee8WSjmj1V3JGQZjcNV2uGw7DCFtlDMKKym1+iSpdrepOJHUWmIxz6G1wHxOJuRdN6a+eNwPm6YPfXFC142pH47DARyeQjreMQgVmRdpwhr6IRf8APxyHgCW2A8ldKaQaYksp76YZQpVqSnVsMyoH4YXeawdvJ2KXCHLFaS4H2mHSkt8/90KWgv85c/nRxP+3weeOOeQwTdvtapwelp/1ROzPFf4/vsV8lxh3wwEwpnbScMO93OGs8A2vXs5wI/wvof3Ozi/g/MbMGTwbkMvP8HjkFZ1xIc+qiPmk9vC4QVt0+3oO5iC9w7wHXlFuW1Iz7PwbgPnNuAsA1AE1tXtnhkREKqrjGwDqgzn5zP81A7Y7wdsti02mw7bXRdAqDGli3bdiGE0CTw21sGlhZzQb0HgeAScUn/lLIBJghZkjkDgQ58NfTU8I4uCnp+LeZF81uK9+3MyPu9ree8xWQKeKI06vkdAjvMeWkrkUiBXEoY5TCEc6tW+weumwbrroIO87dgiQgbWbXwvhveQxyCd+3aa8Grf4NW+geAMldaoM52AqUwKGOswuXCt+IOr1HF/Ha1DM07YDdef87HHeCCkutogu6NnwTzPwBjJ0FnwS/2a721fsu4X8ARK8Zqcw9XQ4T/3V/g/rl7gZbfHy26P132TPisZx1lR4Tyv8LSaw3mHmcowVznAAO75A+70UA/1UA/1UO9V5FfBUNcZ6vq6/GCabJrsbrYdLi/3uLpssN602G57bHcdmmZIA+i+nzAMBmwADGcwxgFwgWkTMhADvft4NVYEFpNUAlqJJIsj9gTJ5KqKItirKsNiUWC1rLBckpl1lA/ehwntfawIBqyWJb57uvzSzfnsRYmoBKYMxuCy7fB8u7sBOmlYRwyPLwE+xcmrVgJaEVPouIbBYN8M2O97bDZt8IBqsNm02O56bLfdNUC4H6gvYsARkHB9rzhjKXjg0B8FVGBFZJlCWaq398U6R11lWC4KLJfELsxzYhZm2b0acr+1tBL4/rslvv9IzL+vufJM4fvvVvj+u9UXaoGDx0hpdW5HgJDbwrMMnAfgKYBT7ywGeOeDz9NIAJZzYH539BFF3+U7eDg4tyVQyht4TyCUdyUY5wC7bXRQ2DYjEL6qMuB8lkCjabJ4fbHDq9c7XF7usd502GwCEHX0DB1Hg2EIizfGEiMmSKJgr4NOh/7KEvMuMgnzAPiWpQ7P0QxVTc/Ous4xn+WYzQvMQv+t6gxa3b/Fgi9VxHiyGIzFaG16DkTmUDOMqDONRUHXR0zO9t7j9b7B39YbvNjtkEegSAloIVMis+L0U/Kw2BaeP8Y6GO2x6Xo82+zwt6s1BVDkOeZ5hkWRY5Hn4EUOY6ltY/A/iCbkh+fWAShbd32SBTrnAwuLmLX9RF5WSD5QEpNzyJXEIs8pNZ3/djL4Q7277tVTcDeNeN3v8bpr8LLfozcGtcqgucTjYgbjYopDUD5zijnPhcJ+GvAfu0s0ZsR5XuNRUaPm31ZCj/MEyF2OLXZTn6LtNRdY6AILlaOQD4aUv1dXQ4sX3RbP+x1Ga4hieUNjXgqNUipUMsNC51joAjN1twfuQ92t0hnwHoOxaWWF4yBx0FJAC0H6axxosDbQZIGDPvuP+FCIqR/AgX7svDuaYP7xfHzuWrc5PkIE/yR/uObKQmO5qtClCS4xLMZxShKCabIk9Qmrtul8hYSVa6u2x3IeTjKeNJjO4k+VGE9ZThPhqspQFApai8CYejjn76o/+nHhwd9CC4EsGLBmIcXOB38Ld3RP+fyg0+36YpZJeE8r0lIKlJXGyUmFLjCejtmH5qgvRgns2/oi5yzJ6qJsJ4JRSpJpf3atP5IvFTELVWIe5rmCUgdmIT2zaKE12Ut4T+M5zsHCf8fjHlkBwMHoFggTO35IgYqr+mTcS6lRb+O9+KPti7ANzliQptD5jvJLxq4nTMU2Hj9bj/fhIHmJBsAMIpr0+kM6VJSBRQNg731IxrqRPJX2n4yyY3pVlMTExCnvkdqtBLEnjt+P6VosbDsd8zDB5Ucpu8fH7MvfHzgYNMBKMH4KIUcwlgGQ4OIxGD8Bg4dnORif04UVgNrjYuwSzl0S4MTm4PwUjC+OPifAeAXGKjA4QP4ExjQAC84fkxk5r4Lx+G3ZTm8eu5QOFtjE5HnmoJTAbFbg9KRO0rs29FsT5euR8RSfn0djvoO8jh8xnnhiPSklkgz98OwMfTUsPhSBMVwU9EwVnD+ATkfFOQFBhSK/UQKgyC8p9qUYRrEscnSTQTtOaMYR7TSRTxKjvplLiVzKMJ6nnxF4AsjjqZ0MOmYwWBvArRGDNWDsYP4dga3JWnTjROAj5ygFx2jIJ6p3Ftk0IZcEInZTaNM4pvswGMIzwKZ7biZE2mctiFElGD/cm++bIf5XVPcKeNpPA/6+3+D/3l5gcgQI1EqjKjLUSqOW+mhS5bCfRuzNgM4a7M2I/e4SF0MLMyf2U62+NeDJ4/Wwx7/vLvBLu6aOygVmKsOP1QqKiwfg6Ra1Hlv8/zcv8P+5/Dt200B6YH+dPn2W1zgPrz9VJ+CMPwBPn6k8yABw2w/YDwN4AEwk56gzDZ7RwyUOZslIkAYmAJkRcha9Dv54FSdQNpgrGmvDgBzgnzGd6lsuxhiUpoGJkgJFobFcmINHhbEpsSdKA2yY5PqjCOkY/UsRvmGyeMNXJkk2GEuruQdPGXHkLXOQFGglE+j0UA/1ruKMQXEOKwl4onQiBckp5Y6AJ4qpvq9XEucMmaaJIrECM6zGMvTFt3k8OTh7BDa9oy++1ecpglHv8luT0XMt9kP6GSfEABIYEhkEJtwXlCDvEM5YkHq4a4AMgCQlAWjhVQYQIIJGDAT28AAasWP0KeyjDQa91jliG0AAHJisw2hNel8LYkpG2QnAoAWHuvFsPY4zj8+byTqSOAVQ0x195pBqxZKJsPUuJE+pYPTrgseYhxQCinx+w+dNOjbO01zAhPtrFkzxDylVPiVsxeNC+25TIheEuCWU8iWKkxk4OLjgYCwD52cABBgrCQzygMecEunewUl0UGQc7ntwvgAXj8H5o/CvLISUaIApAB4MGTg/pd8ZAVJgGRiLaXnvX5HBKARHWZKMraoy6q/hZQz1XXssh/XHz86D11PcaPJGfEN2d126/qYnGz1H1RFQJeXDs/NmRQZSqSWMc+iNQT8d+qLgIQU101gUBSbbJPl2O46wzkFyBiU4MkX9VEuJ7Eh6p4UIPlIW3TSF7xHIhEQfTMEZkBaWqZ+Tb1M3TciUDPcRAec8Wj+hG6cAdBkwxtCOEwFiw3Qd7AZdX0CQ/0lJ9y8ZvKQl3Q9pzuHgGf9i8vOvve4d8PRru8X/cfUCpVI4yUqcZCW+q+b4vlrgaUmIvgetxP3SbvBrs8WzbouLvsXrvoHmAnOV48f6S1FjP105EFvn33ev8X9uXiAXEpmg45RxifP8fTTkf7zaTj3+ffca/+/Xf8Xl0GB0FpOzhxU7ePxUrfBTtcKf6hMoJnCSvY8x5EPdqULfdt6jmww2XY+rtgv6b3oACM5pVR4Hg0ka8FoMk03MKOW/DbPkZHob/+ctq9jHK4sxHyYaQdJxMeQfwhjgxcOT8iMU5wyaS0ABRfH7n3+oh7qPxYkmACUi8EQvFSKjo5kvcB/YH2+vOInUGgDu/8KbD6BPvD9P1oa4cQEf2FZjkLN476G9gBe0Wj9YMvZlAJTw8BCJmWasPYoZ99cm4RF0ij4tk7MhOtwHIIDM5bswkcw9ADAIf2gLOQcpmvQdLdKl5411GANTuTcGWhADgiLJI9hFzC5ikzB000TfaS1cRm32ENf2P1MeLGxnsAb9NGGKjJfwvdNxwhajFMG4r8Y5imTnHIITO2KKQB1DYk/fxyITbx3ApxLgJ++5pQnO78HYFowvwPk5hPw+fgveGBTwTzN/Og7xAIglXBb3v88+VBhXS4HCKwzGYj8g9EOXzMELJVFrhUWeYdP1mKzDdhgwWBqba0kATqkkSq2RhQUPHUAnJQRGa7HrB4zhPjJZgUFEM/MDoB1leQyHxD0CsDhKrdFNBt77EE5G9xNp6H42TBRYxhiBS4IzYtJ5gDEPyQUySRK72MZcSVqQCYD3sQ35Q92t7hXwZL1Hbw0aM6BWGidZiT/PT3CSlVjoHJofJpOSOZxkZYpxNM7hdd+gsxMmZ8ko75urmxf6QYJ0oC8/1O/VUpf41+UTGO+wm/oEPL3uG7zsd3jZ76C5DAb1D/W5Kq6gdNOEy7bDVdth2w+oM51WTmUYsAI02LUJYHFpcKyE+GYeCh5AN07owmC7UBKFVtciZt/4m7AiYx0dk8HGWFqXzBYf6qEe6qFc8NQcrYXkHLMsg6ldMm6dZeShoeW3AeTfh2qnCbt+wH4cj9g/wN4NMIG9OxiDYbIAPKpMo9LEDLGW2D0ePjE8juVznLEE7MTYcsF5iiE31h0khEF2Qs+DRPmC9zGpij5/AJIEzusKZ3WFUqnD2DPsF2OA9Q7dNGE/DKT6Ct9z/DSO11Yek6qGEc04YjeMUIKe78NEABsAlFqhCmOAuCHrfWpflOs559COEyZrse2HkJAd5F04SHPi/kcWtRbfxljhN4uV4PwEgCN5HourJQ9jgYe6XXFGY3B4wOXUt3OlDvJJxrAochSapHiVVjifVeCcEdgbmY0hjS6XklibAUCKr8k5CMZQaoXJRrYih/MHoF5yArlypQKTkV65UigVMXdtUQSVRIY63EMzKfDIOSjBcTZWSZbLOUusOgYCrtVR21RgZRWBlUlJePyh97xn3TPgyWGwE/bTiKclwyor8OfZCQqhkEtFK8wAAA/PBVYMKKRCLiQugvF4b6bEXvnWizEE/5uj6NSH+t1a6RL/uniMs6xGH4DKyVn8j+1L/G/rZ2jMgEw8AE+fuwZzYDlt+wGbEO2tBEnstCRvJw52YPYEgGWyNFjnjCF3t0ud+RrKe492mnDVtGgng1VZgIcHIfAWD48wAbFxJTisQAP4rJHoD/VQD3X/ixgjcTDPMcszSMExzzPMszwBBL8FdD/U3aqbJly0LV7v28Awo4nMbhix6wc044huokUYBmBZ5FiUOXmrROAlAkmJtcTAEYEe8i2S4pAUFdkDvbHpO3Mp0IfnQ1zUyKUEZwzbYSBwbBjRB1ZSlREzpco0suCzGD3Zo6zPBgnOth8wGLquItgVwbCzqgo+LwqjcdiPI9Ztl1gExjky9w2g2DzPMM8zVFojV8Q8YCC2RWSLRbb0ME3Y9VGOSKAXC+OFWHH/C6WQiW9nrPBbxVhBvk4sIy8oluNhvvBQdynOGRREsL4g5cGiyIM0me49WWA0AUCpNR4xhlmWwfmDp6U4ApoSGHxkK+C8R6UVTqrymjQ3SpStdwlcP16IJsCIfJ+jUXgEr3RYuBZh7DzPc0zOJp9kxpCYTCzs63Hbotm5DNs+9t17qLvXvZqJWO8wOovOTGCMYa5zfF8u0gm+JinxPsjqAM0Fqk0G7z36QKP9FvlOpN8nM/FcKHpJhZxLKC4eOsIta6ZzzHSOP8/OYALoXQR5RAAA8NpJREFUZJyF4gJXY4v/2L2G5uKbBZ6OB1reU79LQO1BMh8ATXbNKyJp7Y8Ha+y6AaoPG44mqomUGhZVDyul7JoNUzeSHvzFbk+roMOIwdCA1wfzwmgS6r2HDSynPgzSh8mk1d1r+n8cPDWOpSOh6UG+dt2MNYK5N5mEx9uIq8Zgh9WSxLTyh+0ejmVYoX5HW/gRezGWcQ77YcSrpsWuH+Dhb0TRXmc8+sAAO0w06LjESUFcHX/juLjrg+/oZZLsQcKk4HAefXo/7hc/9kTB/ZXmPNTHregpFq+JYG382c6/D/Lom+bKX9P1R8fQwXkLF9gsVDQw5uBBdvNxK/rgGOvIIF8Rm3KR51gUOargl/Mwtvh41QcZ+cv9Hss8D+daYdcPeLVvcNV2AXiicfAQPI2qTAdRFAs+KCF5CUjsJs5ZSnKKnilaSPRmIrPeacIyTBYlY2iHEZt+QD9NmOc5FkUGyTm2XY+X+wbrtkc3Tegng0WRY1UUwZPJg3mPuOYf+79xxHja9gOacUIf/jYa2OvgIzbPyX91cmQKHIGqMSwgReYzA0NT5GjHCYsiwzwcL8H5IZHKH/jN3UTpWvtxTH5X4lge431K3YreU/5af/s2i7Ec4BwMFYAsGId/63v9eerYbPr492SPAJDM88ir7bZ1c6xmg1yVHTH27vKcO7ZuOPZmu0nUiFBOCgiIIJEQUALIpLgG5h6Pm2MVWiX2083P/X4bszf1Pez4qXj983Eh+lg0mgd57vHfMMYSgP7mdx6YmW/bn49d/tp1cxTScDSHiOEf31pY0r0CnoB4cRwmUIMzkEwQwnnjwNuAfg6WKHxAXHn5NouB4TSr8E/zc8xUTg9yLlDJDI+LGXKhfn8jD3WtOGOQjIPx8HA4li1+qxfSUe3HEZuux6brQ1IMgSGZopWLTElkIXVCcIZtP2DbD2jHiTbgiZZaZ0Sfl5wnPXU0CDXWwjifDE0zSRHdpVbXTAIvmxYvdnv8st6GQSWtRnaTSQNxLTiMo9X3dUdyvGYYwwMfyJVEZTWiqCyCKu1IA+xt12NKxqQeih9WhUU0oGQc+kh7Hum2HsC2G7Dte4zWhn3OwBnDfhiw6wkoi4MPyQ/bydJPiS5ILXb9kFKjnPeoswyzTKPOdQKkRmvxcrfH3682uGhatMOEdphwUpXIpSC/q5gOIiUmY3HZtrhqO/TToS1gwGR1eEizNNjYhfO57Yd0PhmjVe060yiUwhTO53R8TqNPifXgnKHSCqUOq8hBD3/zfv1Q32bFBaPBGcpg4mQG+rnE35OzaO2IxoxE0ZcZKqG/quvPw2NvNthNV+jsHoxxcAgorlCKOSo5RyY+vpkYD6u4SggyXZ3IjHWytABYaY1KqyBTuHfDxa+yohxOco5cqSQF6UMK1BBkbZUmk/dFQbHhSggCZMwEE5k+oazzcMxCeJY8i6JxNzCmCY3kHLmUKfacgCKDwRgaSxsLw114NgqUWiGTAiZzmOc5ZrkOzIHDwkRk15IhsEE7EPgzWRfkLzKBTjGVljN6BkUjdxEkb5yRiXEW9p8xhuKIcRdNjePCS64UjLPopyBPNGQaHu89tCBkExgdmRpx/0utIPkfgc3HwZiE9wyMSXyoQfhDHWqYDPbjiH1YLN0H6ag9Gtt9t5jju8UMj2Z38+E9HsPuhgGvdg1e7RsUSuHxvMbjeX1nNmocu/XG4PW+xat9cxj/AQnYFZxjlmmc1xXOZ1VKszv+3Ocwbrjt9t/2ubu2MX7+c5R1HvsxXjMD9uOUFttdAATneYanizm+m8/eAPG+5rpXIwkW13MYgwMwOQKVvADABG52rzTgtQbG2XCBfT2DzbsWZwQ8aS7xXblMNEHFBSqpUTwAT3euOBjhnkFyEWiXLKVkfMvlATTDiOebHf4ewJ6Ius/DYHeWBzAky6AEx+t9i183W1w0bdpIrhQezSo8mtXIpEAzTmjHEd00Ja+KOCgcrUGdZTitSpxUBbSQiXZ70XZ4uW3wy9U2MWik4MnjqJsMciWJueOBTdfj180O265P4BGQYwqmpD76QDiHbT/g180Wv6536KcpeUTkkjyTyiB3UIJid+tME/iiNTIvwSQ9kjZ9j1/XWzTjhMezCgw0gXi1b/Fiu8OuH9ODXUuBWZahzskrZZZnmOfU7mebHZ5vdzTQD0lLj+Y1nsxreNQBIPIYJpOAp+fbPQ3qxxHbrsesIAnCLMtQZRqcMfTG4Krp8Pf1FkMYoEfjRkoJOqycTdZh3fZ0XDbbo9UehsezGo9mFZZlgXYc0zkdTPQfoZjb0RhILnBalTitCizLgiZJ8s379UN9m0XejBP2pgcHR62ywMD9PN8/eYvt2ONi2ENxgdMMyLnEfc6qulkeDnuzxsvhZ1yOzyGYgmQKOS9xln0HxbNPBjxF+YH1Ht04Yd315EM0jKi0StKoB+Dp4xRjFPuuOCcz3gCCkM+RQjcpcM2CfykPz6IsLMIQMDhaewB/GIjN4zxc6HRMCEwhTny0Nnkk6rBYEb+zNwa7YQQbCKSJcnXnASV4An8YY5hn9KzRIVY84roxnW8wFn1IjNoPIxhjyRclGfWKI+P6IBPkDJCcgUEkAOoa2/poLGYtyfAAJCP8wbDEeh4tAWgstMvBwzkEcJXYA4WUqIN3WZTOfPslQHMriSAm+sLt+XaqNwaXTYeX+30Chl7um7RQ57zH//L9U/IXuivwdDSGXbcd/v31Jf7Pl6+wKgt4PMZpVd4ZeLIhNW7XD/jr5Rr/4+VrPNvsEmtRRLakFHg8m+FfH59hXuRvAE/ApwWd7rLt3/rsXdv4ueZ91jvs+gEv9w1e7fbputn1Q1rgfTqf4X/+weGkLB6Ap09VtNIhUUpNxod2xKt+Tx5Pgh5asTw8OmPQ2wlXQ4fBWkjGUUoFLb7N1XbOGBa6wEI/xCh9SB1fGUSlJJqcYIdVvG/v6jlUlNdZ77EfRly0HZ5tdrDOpR2Pq6mCHwZ9knNctR1e71u83pOnGmMMhZJE+w0pNrTyM6CdJgxRBhdAp8FYtKNJCRWVIt+GQil0YcC66fvE4pHhoRqBpChPc6CV2m034Krtk/eDliIAaME4N5ij7oYRl02H59tdWI2iB3qhFSqtUGsNFSNdwzbiPpNsgRhP+37Ay12DTddDCfJEUYJjHY7huuvTcS6UChI2WmnOpICxCv1EHhiv9i1NIgyBOJEllUmR9O5TSPi4bDq82jWJnSA5B47YCpmUBChZh3aasOl69AGoy0N0rbE26ORdkDIYrLsOF02Ll7smtPpA4ZZxn4chreINU5DvGQKdBmOhhCANvyeScGTA4Y4Dord5bXxNcqk/UiUpATyMJ8bRduwhuSCmhNRhtZfuM8dm/1EuFM/tsUQuMhMcjiS97LCg5I+2FbcxWIOd6XExNMiERCE0FrqA8O6onYfvdoHVSWbM19tyff+iFf/Rc4Gx5Kv4sY9nZxtcjS/xov8ZimkorlGJBQpZY+HPPur3xYqMp2hM7UEr4t4g+QfNsuwNKe5d69C3D9dNPLZfmyzyQ0uEe3wRWKKRLTzLMsyyEcaG5CbOKUVKKuSKjLjbcQxgDBKjNsqorXcJ0FJCpGNunUuJUeWN79wNtOjSKpmS5gBACw7OFDxU8kypwyKKDma81yXoCM+A0DfDM7NQ9HzVUiTmdCYlGGMphj0yLJRgqa/F/Y+fi4smcVzPgJCiRcBYO4kg4aftKC6S6bj1Li2+ZJLStKpwDH6vrtkSJEEPQhsOC+X3vUim+wA2fYoiTzJisV+0HZ5tibXfjmNiMJ6UBf58tnqv7XtPoHBvDK46Gmca5xLT/07bAnmjdWGM+Hy7w7+/vsLfrtbJg01xGsdninxu98s5zQ2O6jbX/Pv2irv2p4/R/75EH/beYwzhCuuux8tdg1/Con470gLDrh/w3WKW5iPfSt0r4KlUGk/KGf55cQ7FOX5tttiMPSqpUUmNUh4eFA4erRnRTCNaM6I1E07yEoVQeJRX10Cqh3qohzrUaC3aKa5MUvpLpNRXGUngqiCFK7TCMBlctT0GQ7GkyyJHlakQT0xm39Z7vN63SYNuw6RPcoE6F5gHeQEPsaXGOrzY7nFSlnisaszyDMuywElVYNsTrTcCJo9mFc5nNU6qMg1ivQdmWYbzWQkpeFohiAyiqF+PsrZumsAZwyzPkvbbw6fBfVyFtc6hHz1GRVI/m7ybaAAwBQ+LNoAwJsgJBmNSEtBJVeK0KjHLdJpclIp+5kpilmd4VFfwAfiLjKIod3mxa7DIaUW2VCpIHDIsigyPZhV+OlngyXyGKqPzVASJm+QCWpIk4tGsxn4gKR/5ZtiUhtRNE143LS72LbppQqEVfjpZpvMpwzna9QPWXR/OqQuTUx4G7rimO5+sxVXbw3mPQimclOV7X5+fg779UB9WHgReG0+SrGYasJ16aCFRSZKKjt5gPw1ozJCknQ4eihE4pbkIMfJ0XRZSoxQKmZDoDD3XB2comSv4G03OYnSU9qW5hL7xWQAY3EQsaO+Shx8QJU6cIunDZxSX0KEtx9DI5OhvHUhypFiYuHJaBJPsU/H5wuQ2ar1ZgmY+ybcxMHAOSJChuPMetdbJ400LgUWRpzCD9y06wy6AExYODt7bxOwS7I8zXov3x3hss2DoXWUa57MqSNDZNRmkEgLWuQQAGWdTIhSABPJGBpvknJJew4JPBF20FFgWORl0M4ZKa5zWJTIlrnkFJom2j0a7HLkSqEO63vHVyIM0DlrjpCIvxjrTEJylOPJDapUAWEhrncjU3INAtPJI0inCdx63xQOJ4aWFSAtWxMCiBTDrDr342L/wkJxFxzx/C3vjXUXXqoODTdcvGbhLCKa+aZXFQ/1+5VJiVRWU8iYl5lmGs6rEr5stnm12eLHbv/e2o5cTILAsCvzl7ARKEJP+yXz2Xp5RbUiNfr1vMRiLTFJaZVQhzDKd7i0nZYGn8xmyh1TTj15RyvhkXgd2qcaqLPBiu08qhG+17tXTvpIEPA3W4Hm3w/N2ixfdHrXKMNcZZipLn3XeYzcN2E00uXpSzPCknOFpOcejokb+ADw91EO9tSZrse8HXLUd9sNIkz4tcVKWOJ9VOK/L9OBhAJ5td1h3HS6bLgAgOSXbhNXL0Vj8fb3BL+st9v2YzK+JbUOrkjESuco0LpsWv1xt8WK7h2Acj2YVZrnGqsixrUo0w4gyC94imQ4yrhLLMqfVV85hvUeda5y5CpJzrDsCSYbJpJVU61wyLu3GCYJRQs5x/Gssj5ACZ8mTagyJPBFw8cFQe7KWDEzDSpZxDsIxjMaiHSd4eCyLHH8+XWFVFtdMJSOLaOY0/KxCpmTy19r0PbxHMHKdoIXAScWvSR6bIcf5rMaPqwW+Xy6SNPA4jtZ6gXmeJanfpuvRdeRJFVetusngomnx16t1MnqNMslMSEjB6XxebfFy1yRfDi1FAgSLsGJcZZrO/9UGr/bbsLpXvrFCdttKDJU/gNT1ay4yErYYnUEX/JW2U4/CKQyqgIPHaA22U4fX/R6DM8mTMRcKpdAopYJxDpOnCd1KV5AZh+ISrZ1wObbYm4GAoQBMtJZAJg+kBanRWQKe7AQGYLAGvZvAHENnR/SWTIplSONppgG7qcduGtKCVil1Mlx13qMPwJR1DoVUKAR9ZqZA96BPIiS9zs2KEqdPCcMyRsm4inPMsgyZlDClTf2PcwIVPjTVzoO8dqy3MH6C9ROsM9Aip8nV/RqKftIihnAR/JJkYrhWWkMJjmURDMcZJdXFRCUPjzrTOK3sIdyCH5iA7ui5xhlLPiHW+WQQLIL8TQtKhiujj1Qw+46A5zHTJ7Yl/u3Nya7gHFqGCPLAdj2vKwq+OPLNjMBWF73EJhP8Fgl4mgUJ/izP0ncyHAJKDg06gHKSMzhPANTC5tfMgWNKng9svvjSd0hppL93sDCwzsD6CcZP4Ewg48UfCjB9qLdXpiROWIFKa8zzDKd1iafdDFrGhcQPAJ4AkrUKGldKfoJHsxpaUH9Rd5SJuiCnvmo7vGoaDMYgkxLndYW/nK3wl9MTnNZl6itZ8IN7kFl//BJhIVxLiVmWYVUWeDSrsChyWOcOdibfYN2rq6kQCuc5+aaMzuJFu8NF36C3Ezo7YT+N6bMeHs1EA17OGH6oFnhU1PipXuIkK5Hxj7drabXWO1oJ9TaZAkcz5kgfT4lOgTIsGA+m1RyS8eAj9PsDycFO6K3BYE1K7LkpGYgrwTHpTnNxK6PEGEnpvE/7Mjmb2isYv7ZanL6HkQ+SDCyXMUw8pjTJJEbEcVs4DgOOWFPw5RqcSftx85hY56gNwTQ+DoTiZ0XwtlKhPZ87SemuFc09k7+Op2MbV/ydP0zUj68dzljaT8U58BH2MybPbPoBQ/JLUFgUOc7rCt8v54fPWovn2z1J8po2MHg0Hs0OrKRmGPFsu8O2G3DRtMl0Wwu6BkqtsCxyrEryAPLO45erLdZdj2VRwAefqCgBmAdGVa016jyjOOngZZTKOuRKBpDFox3JSHtyZC4aGU0xLtzG2GlETxMOKcRRqp5HO04pojmxnZy/lpBnHa0ixwhqWgHlQYdPkeR1pvF4XuO0Ko+a65K8DyCZQKX1AdiCRzMQk6qfDM5nFRklB9ZZBO8WOQ3OH82qdB0cXwtx5Zh8N4iObdwhdtp7YrztejKqfDSrcFaVOK+rFDMtBU9sqJe7fTK/5ZxSkwqlsMhzLEs6p+044cV2j3YYMRqbTM2PUzsiYwzAIdUwtjv8ezxGzru0ai9uTHJupvLd3EZ872YfuS6ZOEoxCZOatE4efjlO6Dv++5h+GDd0LPt66/tvacs3UWEfHTyMpxCQLgA/JrAdjbPYTwMuhgaTs+kYxL4yuIlkNN4GM2OJQmooLtCZEbupx2bqoBmltpKsbkLvDBDktlN4frVmxOgsGBgaM2IzdiRVDc+w+JwGPPaBnbWbBgx2wuBMYkvRdgk0G5w5YlpwKE/ynU9hPsoYg2QamShRyjkUy6B5hkJUUFyDfwKG1XEMNRhDqTlKfBofCecNRjdg8gMmN8K4AZObUMER6PQHUgHFkImbFWXR70pYAoBKv/39d33+balOb2vL8fjyZjrU27Z9M2GKByAnkxI4ekzfrCiZH4N0JMoOtSDG3bIsEgj2rv05fj/+W3502d5l/3+vPDyMn9K1S9ftCMkUmOSQ7NP0zW+tvDuMA9iNZ+tvlXMeLnhgAoAQtJB389kex2jOOVhLfyMEh5Ac8hOzdaKMs85oHF1nGstiwkXTonwPX57j9Lro7xTHiYyBbCEEhw6S1XfVYdzlQ0AMjftf7Rs83+zIM3SkZ3AmaTy6LAuc11VQJxCwK7l4Yxx2zCaM48u44AtcZ62T7Jb6uAzKgptzwuO2unB/mMJ5vz5+jLJ8apsIi7lx4TUeOxPGkTZcdyosnh4zd4/bamNKaJgPxdCemyB7bGPc58m6wxj3aNwH4NoYVh61MxbnHAU/yJFLrRLr+Nf19r2852K6tvO0iD6FcKfDkTucF85ZOiZRuRL75qeuewU8aSEwU3nQdVtoLnCWVelIvStOMeMS31cL/FAtcJKVKJV+o6N8SI2WBtWtGXE1trgcWmzGHqMzR8BLGKAigDOMIxcKM5VhpnIsdI6FLrBUZKj8e/Wqb/Bzc4m/NVeJ9j/5g85TMI5KZqgl+Vk8LmZ4nM8wv4X/0xRWiDs7Yj12uBpaXI4tci5Rqxy1yrAO+3k1tmlVuJYZlrrEShfIhcLzbovn3RZXY5s6XSEUHhczPCrmWOoCGZfIhYI8Onfbqcev7Qa/tmtwxlAKWrkGY+kms5t6bMYeu6kPgA0N+AtBq8+1ynCe1TjLayx0nlazxT3lSVjvMDiivW+mDhdDg8uhRWtoRb4zlBLHwopjGVbzK6lxmlU4zWusdJEAwA/hg3iPZK7t4FP0shRvAoAeh8ht61yi3kfvo+h9An/dF4X2hQUfCgktJeRxGg4LG/8k0ziqCMIsywLGeWz6AS92O3BG4EmRvC4IWFm3HYwlKRodpwNYGB84cYBzzWuGHfyt4gPw5tkZjcV+GLEbSPYXva/oweDCA4rOazws75pgfGj5o/Pp/aH9UTp38NPBAVzHAewmTykRgMUQ4X0E4MXjYl0YQBgbPEhCkmA4VlEyGR+U3WjSsYnsuGhoydjBm8yFwQR973VpSLzmxFvOQbxHxX0/ZrOlgZR3cB6JzScFTwOsKPUQjEAmAibDgDicPx/223mX2nJXOvzXUIwBggloDmgePRU9HI5AWu+JjWRHaC4xVznmusBkLXo7YTP2h0EQI6+m/dTDe4/GjJicTeyj3k4QjCOXCueKGCGdndBMdP/s7QTnPQZn8HrYozED6vTsLdAGMGo9djCOUnAV57DwlBLm3IEVAZL5VDIjqbDUqGSGMgR4RNnfRz2eYKjlAo+zn1CKWZLxZDzHTJ1A8d+YzX8FNbkRrd2hMRuMrsfoekxuhIOF5BoF7ma6+0eod9337/J+fMze5hly/Nmbn/+YzyAdFl0EZ2mhByDp/DET6V3783u/3/z8h0i3nTfobYPGbNG5PSY3YHQ9cl6S/FBU77nlP1ZZ52CMhTUOUgpIySFuAQhZY9E0I9p2oLTdKkNZZdfAJOc8rKEJdteOaNsRbTOgrnPMFgXm86/LE9c4h30/pPFiTB3upykw8h1O6xJ/OlniTyfLd7KR4hjfWIdX+ya9Xmz3eL7b42LfJvuMuLDTjCPOqirIXlWywFgGSXBqY/BO7Y3Buu1w0Xa4bNqjJL+DZ6MUHOd1ibO6wklZHpj61xQHSCBbM4x43ZCP7H4gz7vJHcBH7z0KfbCgWBY5FkWOZZGjm0zyJG1D0MFgDB6FsJzjxWAgkjA89v2In9dr/Hy1gfMef1ot8dPJEvM8uzbGjCDguuvJ67ZpMEy0uBVTuGn87jHLSa0wDyqRZUHt/ZRFtho0t7hoW1w2LdZdfw0ci0zZXEqczyqc1RUWOY11lOCfxR/7fgFPXGKuGJkpcoXTvMKfZyfk5WQmtGZKDxCKTdaolEYtNWY6x1zR4PBjD/YHZ7CbelyNLf66v8Lf9lf4pV2jMSNaM6C3Jk23BOPIhETOJea6wON8hkfFDE8LYpHUMsPvWxoCr/s9/rf1c/yvr/+WGF9pVRaAZBxneY3zvMZ3xQLGPUYts1sDT40ZcDW2+Huzxt+aK/x1f4mZyvAon+E8r/H3do2/7gn4OslKnGYVzrIaP1Yr/FgtMVM5/m33Gv/7+jl+bq4SpXmhC/zL4jGs9+BgmKkMmgscL2nuph7/sXuN/9/VrxCMp+2nCSSAF90Wz7oNnnc7ouc7Ap6WAbw7y2v8l9k5ReoKCS8kuGcff5b+kcp6j8FOaMyIF90O/7G/wH/sLnA1ttiOHbZjf2016ESXOMkqnGYV/jI7A2cMtdTwHGDgH5QY5XFYqaAbEb8GJr3xeX+0egBKvYhxq5waDACJmUdLEz6l0kWphgqIf5SPHK9efooSnPyIBOcUUxoS4hiI4jqz5PVQKIlHswrOezTjCHTxKOENoCleny79G11ykovgTXG8j4carcW66/By16SH4TAZyKO0IR4AjWNQK1ZS3HyE6/sYTIymwsmv6whEin3ah/PJGIJvByUUxZWSKKW4eT6tdxgNxWuPYUXMOEem6xmdn3gdWkcJH5uux34YcVoVQRZB5rkR2IwrTdGIPS4wRGCLMwZIXLsu4z4fX/ejMUFK6ZMkxYRBmvMeVTCeZUylAZH35F/iw3eao9UkWkkjn6CYZsM5A5N4Kwj2tVdMcxSeQXNKuUp9JXzGwZEUz0zQmp6HP5YrXA4NnvcTtlMHmZirEoOdsDc8MZiIveiSr5PmAjOV4SyrwRnDs26Li6HBfuqTrCY+24xzeJTPUAqNpSpIdmsnvOi26RmdcTLk79yE1o5QgZFMKbEZKpUd/CVFRgsonH2SgRkDRy2X0DzHiX8SGLwcgglIrqHYVw48+RGN2WI9vkLvWoy2w+QHMlCXiy/dvG+67nK1fo77lJJkTp4reY0RGyekv1d3beOH7JP1Fr1tsDWX2Js1RtthcB1quUAuKsz9t2X6+6nKWodptJhGA58BjLNbiZWNdWiaHpev9+CBAZLl6g3gaTK07e22w9XFHpcXe5w9mkNI/tUBT9Y67IYRr/b7BBI9D4qCLixY/uPZCQTj+G4xeyfw5NwhXOfFbo//+9UF/v31FdZth6uuw7Yf0iKc4BzNOOLFdo9VWeCkLHBaFXg8nwEgllV29DXGObTjhN0w4O/rLf7z8gr/eXEVLB1oQS6ykbQQ+C/np7DOo1AS3qs05owVx3ajsdj2A36+WuPfXl/i1b5FP03og59qXAhdFdS2J/Ma3y3nEIxhkWfog3/Vq12Dq7ZLdiL/8vgMhZLXgKc0DrYOu2HAv726xP/6869wzsH8yWFVFcT0B83J3FEbL5oW/35xiX9/fRk8ZM01pr8H8Hhe48msxpP5DN8v58ik+OTA0xTMyrf9gL9drvGfF1f4eb1Ji6EuyJoFJ4bpP52fgoFBC45c0vj+c/A37xXwFAGjHBSHvNAZxqLGdjxQ4wEa9AowzHWOuc5RK31NdvUxKrE3PDF0nnVb/Npu8Pdmjb+3azxvt0TRtxPGIyo/YzQQV1yitybI0zhqqdOq7G3K+jBotxM6S+bpXVjZ7c0EFyQDnSH/iiflPJiu/n457zBYg2YacTE0+Lm5wv/YvsRKlxisgfceL7sdXvb06syIzUipQWOQH5xkJV50W7we9ng97DFag9FZzMY2eGHkAUUHSqmvgW29NbgYGvxtfwkwYDOWWI8dSctA5/fVsMervsHl0BzJMWhCshEdthMlKOVhBXqhCyx1fiup4eeqyJiJK/iv+wavhz1+DkDfz80lNlOPNhjkA0BU7AzWYB9W6UWQLypOjMC5+rD9jKsQmRAYECZ3lkCXbT8kEERwltLhlBApzrObyDdJCfIiascJk7PB10kFCRtLXgyJcsqib0kcDB6T+293PCM7ZbIk6WqGKRl09+MEK0Uw/56ggkdVBIRGa7Du+sQq4oxjNATmKh59jIL0IOznuu0SOwaM3rPOBdp+OGWMvQne3Gg7yRsNdv2A3TBQqtxoUGiJSmtwzhKT543zFZOKuIC1tCK0bjtIEVcoeAIsR2PRTQbNMKIZRrThoU0pdhO6aYKxDoIzFFqF40IPey1M2l4fYrWLYObOA8sjMn4iQysypN42uHfOh/Yc/LCO6dMusJfi4Gd7BDxFU13OeZLROe9Tkl5kTilB12pcaZNCoPIqHBOf2mWdw2RcoHC/6eFFkkxaWbtmJm8PVPcIPEVg0TqXmFCC29AOn9IbMykxywP79gh8+pZkd/G8GEfPK8ZYYgKPllYCjadjUwiFhS7Q2TExlkqhkTOOXEgY77AZO2wI+QUAZEKFBE6H0RHgG2XIHj58lw2YLLvWlikwmzzoeTpZi85OyIJs+Zh16b2HhQe8A/d0XedcopZZMD3XnzSwhDGGTBTIxNc1SbptGTeiMztspovAduph/ITBdrBHC2oP9WXuD5/rO0lSyr4aFqjzFoPrsJ+usDVXmNyAyfUQTGJy4xsLRA91KBeej855tM2AZj+g70ZUdY6qPvh4AVEmRxI5YjNzMM7QdxOaXY/NugXjDFJyaC1hjAum9yHR0dJ3TaNF0wy4umpRlBkBXQEMiG1x4bNx0Y1zkpVxwZKdwJeswzOVQi6GyZAvU9fhqulw2XbQQuCfHp0emem/fUvJbiKEzMQE5dG4xNBx3oMffSayoMbgd3rM+I81GIOrtsOL3R4vdntctV2wqrCJRQQEGS7nWO4bzPMMhZJYlgU4K64BZtZ7NCHR+sV2jxe7Bi8DeGTSGOywP4UytHgbFvni9yUrE2ex6Xs82+7wat9iWRb4fjk/pG6G/Ynj5U1gMP262cJ7YNP3MPa6T+lkD2PUF7s9Xu6IQRblihRqdFAJDCnN+zDO/BT1/7D3n012JHm6J/ZzETqOSgVRqrvv9AyvoK2Rxjf8+jSjGWnctbu2e8W07q4qyJRHhXZ3vnCPyJMAEpXoQhXQM/WHZQOddU4ID48I98cfcSgZrHov8RyP76ZuqLr+gNF/e/59CIqapTFaCZZZFnz6fvo59GcFPB2Wn8j51e4y8qvbY6rdOMjMtE+YGVdcP+bzYjRCNc7yut7y+/Vrfrd5FVbtDask915GSqPDIHi8sCZMqmKlWcY5mY6Dt9PDX7Ynacl/Wj4hVzGtHSY51rPqhmfVmqt2H7b7417gxlm/0ty3RFL5hEDTk6qIL/Il8yhjN7Ts+pZn+zXOQTP0HCUFjR04S0sKHXMdZHkO2A0t3+2vkcJP6Ffx/QlX9dDz2u646RvSIMvLVEQiNV/mS77IFwzWMDg7mcjuh47rrub7/TXWWTZDw6/LY2J5TKYfwif7ecqGFfjeGi6aHX/cnvOHzWuuWm+aa51jGXlW3OhJNjIzRpDxpqv5rrpmcIZ1X/NNccQ35dGdhMcPrTEVw5aOy301JZzt2pZN3XJVVaQBgImUxFjHPE0n6uzr7Z7LfeWBXuVZK1XXM0t81LIHlj7+y9vBRGmtuo6rfcX5bs/FruJqX3NVVSRaswgU3MHexigPQY/dDR6cHX2aqmA+fl3XdMYQK8UyT+kGw8V2z0u7pUwS/3CWkotdRTcYr4EXhxKzH66RhGPDC6/qu8n8dQga897aO4bCfjVCkYe0wbof+P5mw7btmKVeJpiFKGwlJXXXcxEo1Zf70C77Cucc88z7ZHXGkMfR5OW1rhs2TePTk8J2NnVDrDWP5iWj59iH1ui51Q4D3XDrZ1Z3Hgy7rkZZoR/YVN3tyta+7UDAPiQFji/2pvcDDuPcrRxO3gJvWRRhc/8CFUJPfbYbvK/VpmnDypl9a9B2KLXbNS1V23km1wGLZ6RdH+r2nXN+gDEMNP0t1XmeJTxezAKYeUs9/7dQ3gfJ0NuB3TCadTe0ZvDgUddQm47B2ZAAFTwE3thOqnRYNMi5aHacN1s2fcNpWnKSzih0zLrzA6HBWRrTcdHukAjqoUPhQfkxMS+WPlUvkooiShic5VW9mSTbZZSggpRucJZIKHRIqbPudgA7yu3uO+5f6sNqcD2NrdgN11hnfpmw/1L/EOWwdLahMluqYTNO5T/1Yf1D1DBYuranbQeur/ZcXe7YrGuOT0qOjkvs0jEayFvraJqOpu4xxhLHmjjRdO3AbtdSVe0krx8GS5ZFRLEmjjU6+DjFiSaK/WLVm6YsfW/o2oGuG2gbf0x9b/x+YkWcRKRpRJJq5Ef0B/57Soe0MyhIlKJMYk7KnO+vN/zp4opd2/3gNiD4EkoQETye+XHcMssCsLPjcl9NTJhYKR7NS+9NmucUSUwZx8yzhGWWTSbmLjD+t23L8/WGP5xf+nlMlvJoVk7jI2BKzm76ASWlZ/v3Pb86WnlbnQP2Tz8YXu/2fHt1w+vtjl3Xe1/TRRRSlP0i6UjwyIMMcJYmHOWemSSEII0iVrlny19XNb2xXFcV26adxpYj2DgqHK6rhquqwjrLPE38An+STIuaIyhfdR3PbzZ8e30zpXwv0pSzspwSOYHpGMdQoHmaclxkk23Ex67JBgRYVw3fBrZYEsbvX60Wd+SCVQh3GMIi8Pc3G6qu55ujFXkU/WTHeVifN/AUBn4j6GSCAfPYtUfJjzfF+riDQxvMtTtreFVv+d3mNf/b5Xccx8UkgTpJ/d+zOD0wHzfsAzhinSMPQMooY3rovOM0Lcl1zK/K42n1th46L0+TisHZj+I3YZylMcOUHrQfOuqhJ1MR8ygjKiR/3J5z01Y8q24CGFJxnJQ8zmY8yuZ8pTTfVzew9zK6Xd/yvb0GHMs456tide/+6wCudNYwi5IwCck4SbyM8DgpJuCpNj1/213x190lV+0e6yw3wbcjlopH2YxjPh/N/Tjxroeei3bHHzfn/K8X31Ib376ZjjiOMx5nCx4HKabFg53f7q/5dn/N63o7MQFeN1tAcJQUPPoRC+OxksxSb1C47zqavufFZst1pblKamaJN/WeJfFkKr3IPPjyervn9XbHpmknhmKkJGkU+e8gJhnZRy9HAB/6YHZe82K95fV2z7pp2NQtaaSZpQllGuPw0eBlEk8SrRF4aofhDvCUVzXO4eOmZcaLtV8pudjvmQUPqEQrtk1LN/gXqfgAr60RLB+BjM6YWzPzsNI0rj7BIZvq1hPDA089+5uO19sdJ2XBaVkwz5Jg3qjYtR0Xuz3P1xsudtW0QuOAWZpQJDGp9i+XYhlzsa84D9f0MHkv1Zo0ing0n4WVmw+/ni6wiJogaxvnmu1wC84cpjDdGmk6dm03sa5GUKcdDE1IQ7LWksZeJjl5aymfAhgpSZFEfuHC86TpA6vr9WaHcS4w1m73LSXT8TmYWGK9MdNAxTPl3ERXLhI/2HDOcV013FQN+9bTruu+53RWEGvFUUg3FPLzlQJ/aPln20A1+EWLbTDsTqRm0zds+tqznax5Z8DEWElgQZ2mJRfNjot2z7PqmlRFfJmvOE091b+3ht3QUJueodlNv5NCEEtN7wzOWmKpWMYZiyjz190aXjXbiak708kEUg3WkuooSOniAPYPDMGfS4nbgId/Syy1T1GD7WnMnl1/gxASLSK0/OkHuL/UL/VjyqsDGvbDhmrYoqT+JcnugTX0hrruqfYtF+dbXr644fJ8S9f5974OaY5CepBqu6nZrGv6fiAvEooiwQyW3a5hv28xg6XvLdW+I8tj8jwmyxOKMqEoJFmsiSKNUnICtA6Ppal79vuW3bZmt21omp48eEYVRQLOobXkZ5h3v7e0lMzSJCQOp5yUOfu2p4hjdm3Hd9frB21HShHk44JH8xnLPOPL5Zxvr2+YXSXTuHgIQT2/OTniN8crH2xzMLYfvTwdnnFsrWXXdDxbb/jXV+eclgX/8uiEf3l0SnpgN3Gx94vCl7s913XD6+2O72/84u5JeXee1hnD+XbP719fcL7zAUVFHHNcZDyZz3iymE2AyOi16cdlPpwg0z6lM9UamaXkccRfr27ojeGqqtkFlcFgvZ+qcLcgzFVYoLXOsUjTySA+VneDwPZdz/P1lv/x4jWDtRRJwiLLeDQreLKY8WQ+mz7vbXfElOo5Bkf8VDXOHW7qmm+v1/yPF6/5l0enfLVa8B9Ojicjdufc5J91ua+4rhu+v15zuavIoojH85/Ha/GzeoKO7JDR7GyUl+gfQKDHCX5vfczs+L0fYzBunTdGrU3Puq85b7a8qDYUKibT3kD7cTbnUTZnlWQT8NSFJJ/d0NJbb2CqhWIeZWQqQj4wviXTMZmOOXFuSnerh57zZs+3+2tSpR+ckPdD5zmElDmLI1Z6AoBmUUqpE266mr/JK5rgURQFiVskl5ymJaskxzhHY3ovT7GG664m1RH7oZ0Aw3dVbw216dj13eS7cZQUPM5mPMkWPMnm0/k3pscEud04QThvdgzW8mW+ZNM1NGk/pfB9anbBYC273ntpjZ5VL+o1WigWUcqjdM4X+YIv8iVf5EtvWOxupT5eDtkGxtSeTd/wOJtz3Xnfs8lQ/QPBR58ko6cIY/8TTzTLwyQuIbwJXRZ7XXYT5GJV30+sHx1WZZZZilaSuvOATqz979NIE2k5rUQlWjHPEh7NSla5XwkQeCZWHscsspQ80iHNzUcfH9KfR7hn9BvKIp/ipoQ/rzysjhjrJvqvl94pTssCIYU/5zQh0Yp2GDjf7v0qTxIzT6Ogk27YtZF/8QZ/qiKJpzjmZZqShuMrk5ijIkMK+c5wAyXlBIqN3lrj72PtzbpHSF1K4VMBg79RFvtVnCGkklRdf5AMc9f6abwesdJTooqSHpBJIx3aSE0vwtHMcVzdGenrWRyzzFPKOPbR14GuO0uTSX43enxpJSmTxKehSEGRxJMB9wjucGBo3/RDMH7spgn+eH3H4WJvTIja9uywEXhqw9/O65ono/RYKyKnpqSRwVpP9RcKyS0Fe9Toj4bhcaRIg/G9OfjM2M5tP9xpFxdM32Pl2VZSCCxeylf3PfvRv2sIFHB7mBb1ts1ttWvZ7xqqfXvHvH7q60IQxYooUkSxJkki4jQiij4TSbHwfoO59gBSJPy7YUzjLHTCkFhmURqkaoJIanKdsIpzFnHGPMoodep9lUKQRaFjiihhphO6aAjpqqOPmG9JLSU5fkHKv/8tmY6mAIzB+eevdZZE+neLEOlkLj5Y6w3IdUqhY2LTEw8dvbPkOiZRkR9HiI/r0dUGn5jW1AQxNu7OO1IEc3GFkhGxTIhE8sFAzWiE3FovL1ZCHSRweZ2hsQODGzBu4DAYwPsISqRQRCJGyxgtNBLP3Bb3vHMG29HZls62WDdgsVhnuOxecNOdsx2uUUKjRUwkY9b9JYnKuU9uLYUmVTmpKojELcv3PiDQh5BYnLMMrvcJeq7HOINzBvsGW0UJhUTfemnJGC0ixrfMQwDH3rY0pqKxFRJJLNPJDH70yTOuZ3A9g+0PrvmYgixDGnAavhtPHl/37f/2GeG8B6brGWyHcQPGGYwb7uyHAxayxF8/iSSSPj1RP3CfNrStcQO966Z9Wmex3LV68H1FHfiU+fb9obb18raGztYYZ1BhO77P+Qewxfh+a2/PExwi9M+x30YyOWhPcW+/9YvGDZ1tGVwXmK+G7XDDdfeKTX/JfliH+8Bv96p7RSRjEvnuVcBEZaSyuGNA/v62NRhnsG6gtz2D823rnA399tb6XQqJmvpthA73qDwYDfxQ37XO0piK1lb0tiOWCbFMUUJPzC7rDIPtb++h8Htx8EfLeOq7Uqjp94dljKVtB+q6p+8N1o4BJBZnHH030NQ9dd3RtQPWghm8JK6uOvreTJI5ITz40TQ9w2AQApLEA05KindK5bpuYLtrWF/vJ/Pxrhu81N9YnLVEkSLLP71iQkrh31fa20SkWlPEAzd1Hca2D3sbHfpclmGMOksTqr5n03QT66UPDPiTIufJYsbZ7N3ggwmelr2x7FqfYP18vQXg6WJOPxh0uL8E/pqP9gVV13nZV1g07sNC61iDsazrhhfrLVdVTRotWeYpTxdzni7mfLGckce318b7ct6GuIy+i1pJpIz8PCCkbmvpU6f9eTeTr6uxnvF0sfcgjHXcmoAnycTyGqsdBq6qiu9u1qTag4JnM58C7o9zNo37RyBoZPn7udJPIy+2dkyw84urF7s9z9YbTsqCfdczWMPosWwdk9dqZ3zg0VVVk0VDUBf8PEzkzwp4aoZhYrCUUeKNpOMfHmBb59j1HZuuoXeGRex9cLIfATyNEdHV0NEaL4FxODIdcxpMtn3aWME8SidPqMFZ5lHqgZygIVZTwl36d0njpBBovM/L5JWD8JHfP3JIPKHYzpKqiJOk5NezY+aRnwikKuJv+5J5nJLpmDKKmUcpq2B+fRJYSdXQUQeW11VbURnPnBqTie6rabopYBGlfFMe8V+WT1glflKyiLIwqPFA4BiZneuYl/WaF5VP1Rt/1l0zsYk+dcxtZ4fJQ+tZtWbbNwAs4pSvyyP+8/IJZ+mMZZx5OaK41Qf31qDCeT6vbni29/LKy7YKiXj7MEFL/ArPB5QITEEBLPOUb45XFEk8+RTdMl78Sy8KkZtCgF3MyOKIJ+1sYgKM6XFZFIWkGs8sUuH3eRyThhQ0ITyo8tVqQaw0iyxhVWQIIfzLr8y9eXUAwWLtfaMipUAQXgYaSHF4yu2jWT/p17VULLKUReaZDeu65eWmoRkGFlnKf/niEXF4KeVxNDGeXmy2PJ7PWKQpq9wPJIsk5uliPgFDOoBZoxnjUZExTz3D5tG8JIk8EHFc5G/ppGPtj0sF0KsuPLAhpQim62ry9xJCsMozijj28blJzKOZTxoZNfoCvAQwib2vVljRiLWavlN3fdDzG7JIh3ZJJwmlVgo388e2yrMAEjGl/uWxf4GPyXQ2UJzHaz16gSVaBUmeHzSdzUqikFgXq1tgsA+0624YMGHAQHg5G+u9AJTkDpDqArAFegLvxufJ6EPmDSy1B9S0RssASDmHCp8dwdYijrGupWp79m3HXCRTH/Wm74a6G+gDuDUy1IxxmGmVzV+zPNbMswTnoO78gMr7D/jzPQrmlJG69cN6sy7ON3z7p3O+/cv55FNhD7wFlJY+mWeRs1gVnJzNODmbE0Wf1gtoZBqBwCUFQghmUTr57S2iDIsj1zHLIacIqahSQK4iTtOSWCrmYXFDC8lpWmLcI87SGY+zBYso86lyUYIQMItSCDT2sUIXmmTxkVSTJ5N1PmV1btJbqSRMA1YT3nnjgkduY7rIs5cz7dNTRxn/x2Q8bYcbLtpnnLfPMHbAuD4AP2PbqglsydWMZXzKMjr9YOCpNnuu2pdcdS9RQhOrjESmHIKf1bClMlsaswvvWT/O8WBTRCIzZtGKmT4i1zM/ORUp6p4FtMbW3HSvuenPqc2e3njw66a/CBP4K4SQAVjTdLZl3V/wXP3pndtLVcGj9Gsep98QRUe8Cdy+WQ4bwCZvZr7tr9kOV7TGgwq9axhHTQJBInMPEKiCmV4xj44o9NwvEIZJ9A9VZXa8br7jVfMtsUym6yWQGDyotx827Ic1u2GNDeCQdQYlNFIoYpmyis84ih8xi44COKd5n9XrCAK0tmY3rNkPN9TDjsZWNGY/AYrWGRhZh4xsMw8CLaNTFvEJM73yQOd79mmxDAHIq82ObX/FdrimNtUE2nghjh+fxjIlkd63bGzbmV4hRQAv79nP4HrW3TmX3UsasydROYnM0CJizFjtTENtfN8dbB/6rUWLmESmxKHfzqNjFqE9pVD39lvrDJvhegJHO9PQ25b9sOG6f8VV94rW1AG81dRmx35Yc9E+C0Dl23WafsGj9Bseq2+mHnf/tbQBsK2pAzNwN9xQmz2D7ehdh3MWIbzwN5IJqSpIVU6pF8z0ijJahT7zMHGwdQPX3Stet9+y7W9Yxqes4jMyVU7gZTf2rX5Na+sJ2BRCTMDXPDpiFT9iFZ9NwJUSGqUlaRr5MV+ZUpYp9b71DKXSM43atqfrBozxgJLWCmssZjDsdhZjDG3rF7STJGKxzDk+KcHBvmrZ7VqkkhRl8k5/zLGapmd9U3H+ejMt7igpMcZSVx04yPMEY36RAN9XxnpLgbrv2QYP0X3b8XKzI9XntMPgA2fCGGnXduwOvEbHBdM3a/RgrPueddOy7zoSpXg0K3mymLHIkrfnzWKEUm5tFsKv/QIhfqx6lGc8npXEWk/HusozlMgQAnZtx/mu4nJfUSQxR3nGSVkwT+/ucwyN2bc911XDcSEp4pgvl3POyoIiSP3uHKLwT7hprv4T8SAG61UF4xh0/Hl2syFSknXdTNfEOdiP16XrpqCjn0Ned1ifF/Bkei7biuf7DSdpEWjz6Q9+zzjLbmh53exojR/AZSoi4+9vTBMMuCd2jfUTkVxHnKQlXxXLabW20DGHKVhjBPu4QiEYZYHq75LGjVLCSKpJfngYe/6j6gCZTZXmNC349eyYUqdkOiKWitNtwTzKyFVEoRPmccoyyThKck6SgtO0pB46mqGfwLqRydRZ894XAtwyNhZxxjflEf/L0ZekyjNNYqnCRMODegLIlPfx6OzA9/s1m77iuqu5bivWXQ2xn/BGP4s///3VmoGrds/fdlc8q27YTMDT7Xku48x7hUkd1qABPHsn1zHLOGewJgBPFVfNnstmz1Xr/bRiqT/Y9HZ8OEulJoDj6WJ25zOjefQ46fKLLJ59c1oWDPZ2cuzBp9vPjmj/JFeRIqySEwCTmFgtOC1LT+XVyl/XADAtsjQ8qG+lUCPrQAfD6dHs/KQsJuO+ESgYwbOrfc3LzY7vb9ZESk102DyJfdKeVnx7dcNN3fBivaNMEqS8BX0ezUp6ayfKrAznNrbhISCXaM1RkR/8/u59HivFIk0o4hhTeBnvYOwEAh6CEuM2tPK/L5OYVGuOCjultznnpv0rOa7mQuZ8ItuZuTXNHldcdAC4RsmvB5g0qzyjX95drR6N0pUQd5I61IGp+PiTCM3jwF4TEIBDxWAssVYeMDMG57xMrg+MI8FI3fbHqPGTbv+IvH26CTlGvN6yrHzKiJ3A/SR4kqVR8AJwhIm0BMfEhiviKEjoGraNl2bKAHp2g5mYS2PanQcq/LYI10UKSaR9/5ulCQI/yMrqFpwH30Zgskjit7wCDuvyfMu//rdn/Nf/758YesMwGIbh9t6KYsWjJ0vOnix4+tURzjnKeUb5iZN6JML3UelDCmZRypN84e9R4dnKo0mqDT5PUfBszHVMJDWrOEeHJDklJKfpjEWc0VszgUFaSmZReiu1d3e5MWOTeiaaO/BmGtlR6QTmw60B+ejJqMJnlZBTEMRI5T98z37MMeNuuOZ5/Wf+vPs/PRhiW3p369uhhGKmj5hHK1bxI7/gpUpyZu/Z6ttVmx3n7TO+rX5HJGIKPSfX8+l8HHDTv+amO2fdX4ZJ5YCDCTAo9Jyz5CtM4hd8hAYtonvlRq2puOpe8az+I5v+mnrYUpkdbWAEtcYbx48y5ZvuAi3v395ML7HOeNAiWk0LVfeVdYbedrS2Zt1f8Lr5nvP2Oy+VMjvqYTfJcGRIEiz0gnl0xFnyFVpoUpmBjO4FKd5q52HHy+av/GH7X0lVwRfZPyHxDJ0RNLjqXnHZvuCyfTEBY4PrJxZQpkq+yv/Z71/lIBMk8j2LZ25idnWmZtNfcNG+YN1fBLDtms42Yf99mPwoJNKb2MuMTBU8yX6DFJJU5iDjwL569z5HFllrazb9Neft95w337MZrqiGHbXZYTET4yVXs6l9z9KvkEhyVYYreL/seLA9N/0531d/YDtcU+oFpV4SyRTnPDBaDRtu+nNuunNaWwWm+ECqcnI9J1dzztIvAUemCiIJ0Xv2adzAtr/mZfNXzpvvqcyOatjSmD2trWiMB13GZ7gSmvMAOt3HovrN8F+IZcZZ8lVgAt1ffrGxpRp2bIYrLtpnXDTPWfcX4d6psW4IoJ0iUwUz7e+J4/gJpIJUFdM45SFPLOMM190r/rr/H5y3z/gi+yesMyzi06nf7oc1l+0LLtoX7Ic1g+vobRfYcjFaJDxKv8I6Q67KMM7zoJQOC1NRrChnKeUsoa48AFWUKXnhZeqeeeTHQlHkA1RGbyjPjvLvwxF4evR4Sdf2NE3PbtuglKBrC943zfDA057z11vS1Ps5xXHYVzdgjGW+zDDmF/+u+8o470PqgY3W/30AXrza7m+Z7txaJ0wEjMCGP7xMoz+RCeE762CGHesAPM1n0zjjsG4VGW/f0uN/y4NS4NG8JFaKfdfxcrNFCkERB6uRYE1xua/J45hVnvNoVjJLE3RYPB6PsTeWfeeDfWZJQpFEfLVcsAj2Dvcdx7uO8WPWYB1N7xMGt+N1ab0Uct91fHe9mY7BwbR4bp0LDMGfP+jhMwOeBq7aiu/3N4Bjmfww6AR+cLvtWl5WW6qhI1Wao+R+Q+uH1OgxFUk1JYpFUtFby6aved3s6MMk0IaV1ljqkJYjJrDo763pm4dILrdeVuLNz/2dNQIdDocWXhqxinMvNZCeZZCp2Ju4K02moolpkwc5YDr9zq80KyEn+YNxdhr0v6vGCUmqoonldpIWaKHeMuM1zk5G5cY5/rq79PKvABBu+obd0JIqjXWfPn56cIZN7wHR67byUfIqYhFlHMUFJ0nBLErDQOEuNXoRktO0kPxpe4ES0kvvhpZNX7Pua1IVMY8+/EV56Ic2Ttjhlh46ErrfnCw7uAXz3EhuD9uEt87hvhoBk+KNS6TVyG55z7GH40JC/APAYtX2kz59BGccHugYhAXjnx2esaXJAsMrDsc3TkLFO67Pm2cZKcX7oIDR/DuGWyBnlFq8Y/tvbns8nsOEkfH+ePN7H9LztVKkAZ8/TMf4kOuphCCL5VtA/5iGmEYRRaBdj4MRAlBgw0vQTECaDH3gto8eDii1khNbb5TGSSEmj6s0SDQ9aOf9/xBelplGGpMm9CEgwjrHPNCq8zjydOWQTDIaRI7peyMFeTxGL8tMSINMdJYmHBcZTRJNoN0sTShiz0a7z4Mw0p7eP1tkDL2h7wxdP1DtGva7FmMsUeSNVmfzjKbuPovBsZ9c+LbVKJIPwPi1UCGV825/yfS7F4uk8M+dw/4JB+/AD3zPTom13PVe+7lKCR0YCyVKRGihUVYH+V3lGQWj/EpldLYJrJUPK2MHGlOx668RQtHYispsA9vES632ZkNvO0aZlRS+nQfXYQYPRGnhpUrG9azcWQCeogkEuvNcDDInJSIiETHIhNj1GNcjrTeHlUJMoEokoyAjfLfEJZYpWr7fosAFRrRzltrsWfeXbPpLrrvXXHev2fY3QfpnJlBlfLZ1tsUNawY3TICaw5GrGbmePyhl0Lieetix7i9pTEWu5uR6hkTSh4n6fljTW5/K7J9LChV68ihn8qbrTIyVN3vk4QJe77xnVm12rLsLLtrnXHQvqIYNra0YbGDIINDCMxNHqZmXlXVIoRhcj8MF8OTt+8DfK36S4gGnS9b95S2DbbiiNnuM6/241wWARQgG17M3GzrbTW0rhSTXM3I1J5PvlvTcGnpvWPcXdEHKGMlkui9GwBa8pM8JDzsPrqcatnS2QQdJpxSaUi8p9fzefuYXuTwTT8uYyHn5mHG9B4UF4Ny0//EejkRyr4QmkklgkL27/LvFYBgC8++Sm+411/05m+6C3XAzsYw8cKinfjG4gcpsJ6akDAtzhV6QqZJMlXcQ+nc93xyO1jZs+xtuunPfb9UsgGAeeGrMnsbsseMzCTWdk8NNbE3LaBR+OzuR0vc36SRqtFoIx+GcwxoPOjV1R1V1DCPIFOTzw2Doe+PHmsGTxxjr35OD8QxhY4P3k5nAqrbpaZueph1oA0DVdwYz3I67pue/AKUkejq+ey7WL+WZxdaFlDk3LR5G2isbFlk6Sd7ulCAkRgej9CIn1Xehh1EC1g2GwfqFqpF1/66x0yHD6b7K49jLzdoOh2c3efZ/xCpPgSgkTXtWlhSCRZZwVOQUcXwraXTjc3oMATJh3qDIEy/nexfb6eD0f9JyLiQgHlg7SOFDiYpggfKukkIQhUXi07JglWc/S6IdfHbAU891W/FsvyZVmqfFYhocvq+Ms2z7hheVT685SnI68+EDtcOKpCLX8SQhmEUpmYrY9g1/3FywHzoeZ3Mep3NO09IbmsYZRZSEVVzJ+9c4Pr8apVaJ0kQH/lEirP5GwoNrqYy8x5NQE6nXe0jI8BIWWDdOsN+/Ty39hDWWikLFxFIHjf47HjYIEqWZRyl13FPoJJje+Qjz/dCx61tmUfJeX6mfqwbr/ahuuor9EB5sccYi9myyN5kuh+X7X4JxXq6igzFcF8zrt33LIuo/+nl+iEm/uOffn0tFWrLIUh4vZpOZ+Pc36ymUQEtJOwwkkeLroyWns4I88RPfcfD8sQDewxq37f/6MDbFKE8bAauPWeOKyCGw/WNqBIQ8u4pp4HEovR0ZWSP1fWSXjccDdxkuh2D0aPQtGFPmRn8rP8i5BRw9YDWym5SUk29WEYz089hPrhOtWGS30N0I8o2eFGqSNGrKYNAv8AkmUggGYyamXhJ5n627KTt36/hsxr/8ly+YLzL63ngT1Kbn+79d8P1fL7m+3E1JPb+Ur4/RN8e77lM8t0q95Gn2GzJVTB5EnW24al9y2b1g198Qy+SjSsU9+6VlP6yDjCsK3jAR8+iYo/jxtEBkGSYGS+86tv0Vnamphu3EvoplFia7d1swlgmL6Nj79ESnASDouOpectE+x3SGSETBeydhplfMoiNKvXjncacy5yz5ilSVdya1h2UPJsDb/ppXzbe8bP7mjz+AE4WeTT4002Kbs0GWVlENG66E9sCF2XKafIGS+kHA02H1oY2v2pcIZPB28sBBoeeUejly4ycGkXGDZ19Fy8DOSVCTp9E919PUXLUvuehecNO9nsA2fw1S8niGCmCPZ5O56Y91JoCbglTm3ldKxJM/z2F5cMH7gO2HDeftM140f2XbX0/+TqksiKNjEpmGxZ1RDlfTmJrG7rnuzzEYqmHLafoFp4kg0z9sZGucoRo2NGaPFtF0DZWIKPWSeXSMw07SsNbU1GY3AZAOaMyes/RLJF9R3NPPJJJCzzlJnpLILPijdUFO95yL7jltAL9imZCpGfNoxUyv7gWzTpKnLKLjSR73ZjkcvevobM1+2HDRfs/L5m/cdOfTvVjqBZHw94oM6dkOx2C7cK57XOcYbM9+2HCUPOYk/oJE5qgPeH5YZ2jMnnV/MfXZ0bsrEgknyZPpmEc/qsF6QHkeHVPoGYlMg8/Ubb+dgKYAJLXtQNP01FUXjL4bNuua3a6Z2Kxecu4XgIQgzCU8C2qzrtEhablpepTyYNYwGPZVx37fsNt738T9rmG3bdhvG8zgPZyKMpm+Y62bvBPzPCbNIpT+5T37QzUBG8Ff9aTM+ZdHp/zL2cm9wMU4bkq05vG8ZJ4+YHn0R76cizjitMwx1nIekp7Pu5555v1IvWdtT917q47R1H2ReWP3O5YP9x7fp5/5HB7b6HubxxFfrub8y9kpvzk5euf3xnGzCp6yj+clefzzQEKfGfA0Mp7WLJKUanhYbKRxjk3X8rLacN3WfFks6eyPS9XSQpFrQaw089j7UKQqZtM37IeO76prvimOuClq9kPLk3zBaKiK0ij3E/PrfoLyLK/A3BLej2dcoRzZX4lSpEqTKR38L/xgcJQmjJKo0WPlVuTw7tJCTlIUz7K6BbPeLAGkIcmvM8bHZgsVVuMC8DS0k7/Wpy7jLPXQcd1V7IfWm7VHCfM4mxIJ7+sikVQTuJBrb3LrYEpN3PbNZLb+MetDu+zn3MVj5U3MjSu52tdcVT69YmTJSCGYpwnLPOPRrPTSqAMDw5/y3B7KJvpY3/uQ7X+sGgcnkQsyt8RNkrVx6j8xi3AT8+RNavKdO/mOzup2S+MY4FZPf5dl5P2hPLCUJxErm01eXUoGwF1rZi7xErvDQcUBu09O+xCTpA5gnvmUGDuOngmSOyHfvQoY6vh0RjnP+PVvzxh6v5pbVS3/5/+W0rUDddUSRRqpPuc77R+zPlWLzvSSVBWcJV9O8rbONnxb/Q7wk8joIwNP3oPH+/CMk+dYZhzFj1hEJyzjk4nNYVzPefuci/Y5bV+z6a8YXM9uuCHTJSfxE6xeAkzv/7FimbKITkhlzhAMrq2zPK9LLIbdcEMsUzJVkKmS0/RLTpMvOY4fv/O4ldTkakamCu67YqPZdWdbtoMHnv6y/+84Z0lVTiK9/GoVnbGKzw4Msv15dvYZe3PJ4Dp2ww3b3hugz6OjN0l5P9zOYRsjKGeCSfU8OmKhfTuPkjchJLXZUg97Btcz0ytSVQZmz/1yqZGpctW94rvq91x3rwJQuA1yyhmr+BG5npFK7xVmgxTNYKiH/QTKZaoIrLL4nfv0wJOXL+6NB56+3f8r+2EbfMhC28a+bZVQk1fYVfuKi/YZN/05g+2pzZZr+cp7/twDAL1Zxg00gd0khSJXcwo9D55GSxbRCUroyXvounvFefs96/6Sde9ZYTf9eQD+lpzesx8pFIVaoBLNPDr2JvXOsumvkELS2D0SEXyVClbR6dR37zMXT1VBrmeIe9l6Xl5XDzs2/RXnzTO+r/7ATXc++aoVesFcHzGPjohkMj0vNv0VF+1z1v0ltdl6L6ruFb3tSGXOcfIY90CvJ/D+XbXZTdI+E8ziY5myjE78Pa0KRuP23rYB4Nsx10fkak4cfLje3KdfK3OYwdJ1no1U197ge7dt2GzqIJnzzCMAe+C1NC78dO3AZl0x9AYpBcZYlPZpsX1vqPYt+xDWsQug027XsNu1DINBR4qyTCdgy1qHjhR5ETObZWRp/MF+qf9ea1xUTCPN4/mM//j4lP/nr74OITnvqFHeHL53aEXx3pnajxjr5sEWJAppz7u24+V6y1lZsFt6m4UmJBB3xnvSzpIkWH3cGpb/4EzyM6HJjVYYifLA0xfLBf/Xp4/4v3/19P4vheui5K1q4OeoTwI8jSvch54K1jnqoace+mBU7f/dmP7eh+fo1bDtGrZ9wzakybVmwPxI4MFLWCTSCY6D4fZuaNkPHfuhpQtAx8t6Q2cH1l3DebNjFeeUUUIZUnlyFQfgQE+Tls8vmllMfyY/HXHrA+Enu37SJYX0jK7JIPKQZn8gj5lW9d6/5xHs0lIeGLneP7n2prZqYmWN4I1xjs4Od4zgP3VZB70zNIOXAo5Sr9f1lj9uzgHu9Wca+3ZnDN/ur4MxeaB6moF66Oms+dH9/LB+qF/e+a+fXR9+u0Zz88Mm8nThkMoifIrFUZ6xCqBTHCJ+f8r6e7f/UxzXT3lNp+eBEEjn0BIct1KXwzpktv5QktPfI7U6ZJkp50C9vR2pfIjDfcf3vn1Kpfw2P/AYo1gTxRpmKWawDIMlr1rmy5w0i1FaIdXn+M74+etjtcGnbkslIxQRyByLN5nubHswefOmvR/TWWoED1pTeUaMmrGITlgljybwSQbgaQhMBxc8Fdf9JXW/YzesqYctja3obDOxMA6PUglNIrMgWbPT/bDuL8LvfQpXJBNi5Y9jFq1Yxu+GBASSSEYo+bac4fbcPENrP6xZ916iVAdgJFczjuLHLGM/eV5GJ5MsbwQrhpAcNkq6BjdwNDxmb7bMTDWZbj8ECBxBxGoCZgpSmXuT63AMI/AkhaQ2JY3yUrVZtCKR6b3SLYedEsb2w5rNcMVN95pq2CKEnICYo/gxx8lTclUGP6c8yBE906lRe5pgCO73md27z5EJsxvW3ni7v6YyWyzeT+kofsQyOpvadwSeXEgP9GypPqTUNVTDhk38yPcls79Nb7zH48uHTwz0tiOSCYnMmEfHrOIzD+ZFx2gRBbN2i0RMaYatreltR93t2cTXgTlVTQbhh4wggfDpd8Kboo++oiPDLxKxl4+GBLdUFZR6GQCZd9t6jJ+H+6VujalY95dcdS+DtM6b32eqnMzmS71kppdoGU/MrkjGE6hbmS29bVj3lxR6wXa4Zj9svCF7YDX+UI3y2trsITDhCjWn0AsW0fFbwNNggwzPVuSqJNell+Ad9KPD51eSen+mth1YLHPyLJ5S5GZ95iX0Wh4wmCzG3P5YY5FSEseeoTSlBgu/7bxIiGNNXiQcHZX0neH4pKQsU6JIkRcJUnmzc2Msw+AVMXmekBcxeZGQpNEvwNN7yoNGnjmehFTjcZFQCUmkvDxuTIA+NGAc5/ijRcSbUrRRGpbHUWD0+ZS766qego70wXdG3MAFud8kvTv4zCg1c+DlcEA7hOS3kGLXDMOUTlwkEYlWd1lbQV1A8EPyC6hegdL2A1f7CufcFMR0eHyHx/lDdho/plRou8ME8HGRVAU/3DHA6E7/ntQGTASTnysJ/pMAT2P622DtlEZjAvDUGe8L1BtDM/Ts+u6dwy9vkmUZnOWmrdn2LfXQT2ZmP4h4/ECNRHwp4Cwt+Y+Lx8yjlNfNlvNmx1W7Z3CW684njH2vbkh1RKkTjpKc42C6/Tif8zibM4v8pEZ9oLTmpy5x+CPu/v97Py9ujYXfezIPuAReoueZYu+Tnh1+HnEruRl/xiS4bvSV+vS4k18ttI7eGaoAFG37hnrouGz3/Gl7/h46tH9gDc7y3e6a82bn+7yzdNbQ2oHB3g7sf6m3S0lJqn20u1aSPI45KrLAaPH34egJlIeUtkh+JjH1/0brfc+VH7uND637WJUfY59/zzEKKdBaEkV+gOA9Mu4O4H+pf1vlWUZME3BvznvX4+xjVXDrIQ9Mo6fpryn0gkIvAjNDBJaOwYXEtUgmWFwwFvaSwDoYLoN4C5ARyDABDUEMwu939NrxK6yjT45CSz3F3r+7fUTwlLl/QjiyjC67F95s2lSM5tYnyVO+yP+JUo3eN8WB5MyDMTIYil+2L7jsXk7pc/vhhv2wmsy4HwI8HRpwl3rJKn7EWfKlZx+F/Y9eSwJBLL2Bu3UmSBjv9zW1ztCG1LPNcMWuv2E/rLFYFvqIZXzCMvJgxZgwNgIPo0TKYclU6T283ECuZiT3ACcQQD2z5ap7xXX3ktpscc6SyJxVfMYX2T+xjE8mXyF/nW4X/iSKRGZcdt5YfUz3G39GE/t7gSdgfJrGMmERn/A0+zWr+BFZYB9J5HR+QvhhpxYx190r70NlLqmGjU9wHDZerqeyN8Ze3nxdh2Meb77Jp2lajPX9VkkdpH/JvX13vJ/vv56eZXTdv+K8fUZtdig0ZbTkKH7M4+xXHMePfRuF/jey9SKZoIU3pb9qX3LePmPTX02MvU0AoTJKtHoA8IRjsAO9aElkNhnCLyN/bVNVeGAu9F3jhqkfRTLx/fo951qWKY+eLChDml1eJCRJhNKKPI/p+yBRD7461jlcCPg49MNUUiLDu3EsHSniWAdJuiBJI1bHBXmeeFPzMiXNIi9lHwLbKTCqoth/d/z5BXi6v0bgxQM5EUqIKVFt17ZcVTXWOYo4Rsd323H09jTWoZWcvJDHBcHRg3OW+jTqbhh4vd2RRprjPA/AyV2WlA3eoN4zkLfmjqO0zzoXkpy97YM3Gd9R9wPtYLyRuJTM0+SdUsHxGCOpyKOIRZqilWTfeQPvwVqO8oxE3/VzezPc532WCz+mRhsJhPfsFcHyoe4GNk3LdeWN04uEO/3bzye9Z5fDe91q+X6G/kc75p98D+8oF0y6OjvQW0NvvRF1NfReJmW9l01tBnZ9+84hmMN/pjMD123NtmtpAtvFG1r/+PIAjOAsnTGPUr4pj/jb7pK/7q/4dnfF82rNebvlot1jApCWqIgn+Zwn2ZxvyiMMjlInZCpCyLep6Z+8Ang0TnCEEO9hPtyyoiZD7Pu26976xz27v/Xb0Q+IrR6vySjrUwE9933K0NmBIZiNfuryNHVvZFwNHUMAWV8228kw/CG4nb9H/It5cJY+MLsGZz6L8/xcSwkxrc4UcYzLvSfQYZ8cQVQRXl6fmg3xS/37LekppehIBTPW8Xn8qY/sl/qpyr9Rbxk1Mnj7/MDb9YPLTbCTJdMlp8kX/Kr4T8FrKb7jU2OdRQkdJpsJu2HNa/EdralobUNjqsAciXBvRCqMQJFC4Q4OP5JRYHHJiTUxmZAHFsn72uh9NdgAPLUvuOnPaUwFQK5nHCdP+Dr/l8Akustycc7585QFuSppbcNF93wCRXbDmspsEEAk3u3j82ZZvHE3gJYRR/Ejvin+4+TZ9SZ45ReORkNY+V6AzQTgaQQXdsMNu2FNonJKveBJ9huO48fMoyPm+igAduN47q50aWSkvy/FDjzY5WVcL7nqXlGZHRY7sZ2+yP+JRXTsQRbusoW1iIllRqkXGNdz3b1mb9bshg270L5o5xk59532uBgqBJFMWEYnPMl+zVH8+O19OgLQ5gEZh5fK1WZHZbbszYb9sMVpD/TyBmAk8UDR3X4be3P7cE9KcWsurmUcZKvv7rvi4H/fVQ5HbXZcda+5aJ+F+06R6zlH8WOepL/iOHlKgGpvN+Ug0yW5Kqe2Xw+X1HbPbrhhM1yz7i8RQqJlREZx7zEcHs3I1jPOUOoFT7Nfc5I8De3yNhN87Edju7yv75ZlSpbF2DPPXJJSIKTwyXY2nxhmb7bgXf7w7T8nKbwYZfX+7zxPWB0VWOuQIbHLx8i7KdBkDA3B+cUeKfyxvE9p8Ut5YCfRHpzLIo2SAmPdZNB9va9RIaU2j2/BzhHg6I2d0rDVAbtGMFohRMzThN4YWmN4vd17wCiAQskBWjFauRhrcUIgDhlWocaQF4mYQoOEEOy6npebLbu2w1jLPEmYpUkAnt7dhwWExeuIReYBqn3X8fxmM7XLKnd3jmE8b2stSIlw7j1z67+/fNtptJIkkbeq6Y2l6no2jQcEHd5jNT3AoEf1x+iHLRD8XLjrJwGejHMhocubQe96b5b8/f6Gy8YbMV80e/62vSZV706FGNkgxlpq49kkqyRDC8kqyX+0VvEOZS94GcVS0WRzHJBIzTzKOEoKLps9+yDDG4KHyXVXo/Y3IUIadn3LcVpwnBSk/wCo+u3L/F3AhpiYRz++blHhhwrkHH5NbUz44tBgWHw+rLIRyBuT+2KhAG+QPkowP4TaqIXiSb7gaT7nUTZnHqXEvzB07q07Kyqf+mD+ndfHGND9I0itPnTb7/r8OJD+yNjDL/WZ1PR2Ori2wr3hr/ORr7uXyMeBPZF7j6Ugj5FvSJ0EhlgmEzsmkvFkbOylUx296z0z6o039m1/vvsOfheQdiDwfy8z5IfKm0pX7IYbGrMHvL/OyHBKZHbHN2kyPMaRyBSnvewukRkShXWG3rYhNW5PLFMsD/NSlChimZCMMjuVk6j8jvfNnXv+A67zbdrbltr45DaHRYuITJUsoxNmenVwze7zW3n4Pr0MtGEXGEPWGRKZkQcWTCoz4mAq/qaNhJd0+jS0VBXBi8kyuJbWVNRmRywTUnV/ENAIZMYyndhRSTBEf2ufAmKXkusZAHk3Q8sI67xEsbMNjd2jbfSWafz9/Vbyhi6Aw54rxIf13UOGupd3NtTDdpLGJcoDdbmekciM+F1sKgGRTXDKTb5XicxQKA9OhnshUf46PawEWkYkMgtMsjzsP5sAtLfeVR/Qj6QSSKnggE12JzF5bJc3NOof+hk/7bt/tHcrgRq/+/Y2PrT2bcemadk2Lfuuo+p76q7n+5s111VN0w9c7Cr+enlNmcREIWnZm0DHFFFEEt0+f7vBsG3H7fU+GKcf+OvVNRe7irof2DQNz242/Ourc+ZpOjGC8jjy2wxpcB+zPCMNtPMm3E/mc/759Jg0imjNwF+vbrisamZJTJl4oH68VJ7lpIi0YpbESHGXXRQpxXGR8evjFWXiLS+2Tct312vqvucqSO7GbWrppX1RkOeViffYFG8cr8Av6BVJzFGRc1oWGOe4qmrWdctRkXGUZ5zNytCOb0SCHbRhHkU8mpX89uyYbjBIIbjYVRjn2LcdF7t9UN+M5yQn36QytEl+4CHbG8O2adk0Lbu2o+p6qr7jxXrL6+2OfduBg2frLb97fcHV3hvrR0FWN15rn/LtSRvLLOPL5Zx/OTthnibs2pY/XVxRJjGzJCaLoqkNhRBTO6ZaU6bJ5Hf6U9cnAp4sjRnY9i0XzZ7zesfrZsd3uxte1Vu2fcuraosUgv3Q8kNPOCG8SfXjfMYqzniUlaQPoJc+tDwbQhJJWMU5WkoWccYX+ZJd37DpG67aiqu24rqrWHc1N13NC7PGOse+71iXDb91p8yi9KMe2z96jel3nob5w9KxUStsQ5ynCewmEZD2WOnAJPr0MzaBR/a1lGTaJwEmSnOUFJylJWfp7INuciUkyzhnFWeskoLjpCSRv/SlX+qX+qV+qV/q/lL4ybsUklTlQaoTBXbVm++gIDsKbKSROTNypnwSW4915kdbGnyM8kyghv2wobUtUkhyPQvePMmU1vauMYGSETFpkLn5NDlvBeHlco3Zk6sS5x6WkqyEDgykZQCAkmDx/OPHIzb4UNWDT20bnPc/jWRMpooJsIhE8tHGP5Zxn1saU4X+U5CpWUiX0/e2rRSKSKYIIb3sT/hFZBPArMbsyFSBdfcHAQkkWsYop32/FfHkf/bO6xk8xoT2/Xz0NxrZPLXZk8jM991PWLf3UueTFW01gcKFXgRp3f3TM7+Y6QHhRHnwbwRXx2TFQs8ZXP+g45HhGuV65vev8lvG3Meqh2zqY33mhzbxEU9r27Z8e33D365u2LUddQCent1sON/uqfueF5st//PlOXU/kMcRRRwzSxMezUrkrLgDPLXDwKvNjm+vb7jcVzT9QBN+92y9Yd92XEnJny+vUdInN2eRJosiHs1LHs9LivjjzwsETEqXRZryzdES4yy7pqMZBv50cek9haREB1BpZMSNAM9RkYNzAUS6PcZYKc7Kkv7MsshSrquaq6rmpq55td0R69uUdRwUScwyS1lkKWczL18u4uidF1YIQRHHnM0K9m3Hy82WF7uKdhgoE8+yGpP27mM8gTcrf7qc4XBc7iuuq5rLquKmrnl2syF+w1h9PL5V5oEtDwweAk+WV9s9f7u65nXoJ03fc7mv+f5mw6ZuaQfDXy6vUEJwXOQT2HRS5jyalZPkcWyb4zzjP5weI4VP7N61HVfVuQf9lAzeaJ71F2nlr0mec1xkCCHIIs0D8gZ/dH0a4Mk6GtOz7VvO6x1/213zbQCdzusd275lCOldL6vtO7chCFQ6ISmimF+VR3xZLPmqXHKWlaT3mDb/PTUCCEooVknGIs4mGZW1jtr0vKw3vKg2fLu/4veb17yqN6z7ht3Qcd7sqEzPPEr4ulh9cFLKv+Ua21FYGALz6b2fD3rvQ28wG3S+kVTEUj1IsvezVGA7aeGBp0WUMY9TvipW/GZ2wm/Kk3vNxd+5OSBREYnUpCoKYNZnFUz5S/1Sv9Qv9Ut9ZuWZTZKImETlRCGS/l0lRuApSIlGjyXvi2QY7MBgByxvM54+RY2snGrYepN2XU6eQx74uX8hSguNVBKHDcCcnzwMtqc1Na2p6G13kMb5/lJSk0ovfctVAIF+BJvrznli6CfG084DT0JOHjulXpKr2UcFC5yzYZ+7yUjaJ9nNgnzxfhN8JTRCCSIX3fFxMvYWBCpti3kPCCSEQOOlbonMp7TH9+0zUZ7hlqpikpB6g3LPYuv1DPMesOunrtFjzLdtF6Srexb6mDTIJkcj/vtK4BmMWkQTA2xkR3W2ZTesmZtjBvuwZHAPYCZkwVB8DAj4pX64tk3Lt1c3/O/fv2DbtBNQtK4b1nVD3fW8WG/pjeF8t2eZpyyzjNOyQAp8svLB9jpjeLnd8a+vznl2s6EOyWubpuVqX7Pveoxz/Pniik3TsMxS5mk6ydTyOOLxfPaTLL2Pstd5mvDN0ZJ5mvDny2t+//qCP15c0fYDxvr52ShtlELwzdGKXx0vJ7+lRXZXnhorydmsoEgi5mnM/3x5znfXa15td57xNRhPTADAcVzkPF0s+GI5Bwhp1O+WlAqgTGLOypJuMFzuPVh0XdX86njJPEt5NCsp7/F4GquIY75YzFlmKX+5vPagzr5i23bhGIdg1O2P8YvFgqfLOV8u52jl5YKH1RvD6+2O37264C+X17TDQNP37NrO952mIeoVf7m4Ztu0rPKMVZ6xzDLaYUkWaU7LAqXEhFEcFTlCCFZZxu9fX/D71xf8+fIaE4gdxo5H58iiiF8dr/jmaAlAFkWssvsl7x+zPsmTRUtJriOWccqQz5BCkOuYMoqJpcI4x1GS8Sib8Si//wYafX5SrXmczXmSzzjLSuZR+lFNgu868HvDce8PIHHC31irxBs0et12Tz10xM0W4yzboeGmraiG/geBlX9vZaylx+AcVENHZwescwjuphWAv6FbO9CYnnVfU5mOIXgfxVJRqJhCJ4H19OmBJy3Gfp5hQn/prfEpCDJileRkH8B+82CrQgtFFFIAf4xE4d9i3TLmHDDgXItzLQBCRIBGCIV/9P30CXYfs/pu4Opix+XFlrbumS0yZouMJNEY47XkXTtQ7zuqqqXvzBQb7Nm4EqUExSxjvsxYLHOUPjSyfrstnHM+YWYw9J1hv2uodi113Xmzzn7AGH+vIkBrnzoTJ5osjynKlKJM0JGa9vFDbe6co+8MfT/QtQPVvqXetzR1zzCYkHTjPUpgpIALlJJEsSZJI9I0Is1isjwmzX84Jtk5R98b+u52n9W+pak6hsGn4IztKITfV5JExKkmzWKKYJoaxfqO58SnLGP8dRsGy3Zdc3O95+ZqT14kzJcZ80VOnPhUvTj+4aFA3w1s1jXbdUVddX4RwDqSLGaxzFmscuLk3c8zM1gGYzCDDbHXvh/5PmS8uSxMnh1x4o8pSSPfh2YJSRoH346Hpfxt1hVX5zuuLrYkaTTdLzhCUpKjrlqqfUdTd1PMtrMuGNhK4kQxX+TMlzl5kfh75Q1z23+E8rID3zeV0B6MeU8bijf+HNboF/W5lF+8MsH8vAbjJYHn7fdhPLb1htH3fNf7hba8av5GZbbh7Pz2+mDC/VCAbfRM0jJGyVvj9Y/xLHCOsNjmZY5+sqFDCuLoEfZxxwOeYe732dmG0Xxe4pP5GuOZOu/+7u2f5/Wf2Q7XALdta7spUfC+GkFQFXzQxMgfu6c9Rz8kERaK5YGM0/eRcD0/6Tjc4UI6nQ1pfJN5tvCm5e8D1+CuNHD0nFIiCpLYA1big+9TgSSY/cvojqH6x6gf9G59wH4+J7n+YeVxzKP5jN+eerZTZwy9MVTdQN311H3vpU5pEiRXCUUSs0g9AJW8wZSJlOQoz/jmaEkRx3TG0A2Guu/Ztz37riNSilkaM0sSijgOTJjIgzdxfG/PkQjKJOHRrEBL6Z8n1hIrzXGRE+v7xwGHbRcF+ZgQgnbw48xYK/rBBO+l21RzKQSP5iWPZiWnZcE8Td6ywhFCBMZQzFGe89VqgXWOs1lBN5gQOuamhLx5mnJS5hwX+cQEel+NiXyxViRaT0l5eRRNMrjkkFX1rm1IQRL5d+hpWVAf9QghqLpuOkZv/eKfLcdlwUk4vmWWeQPwg9JSssozvj5akmhNb/w22mHwsruuR0nBLEkoU99vytgf62npr/ObCYGJVsySBCkEdb8AoEyTCXQaF1Cc80bk43U5KXPKJEb/TDZAnwx4KqIELRWZjjhKcr4sl5NHU2sGviyW/PPihN8uTu+lRXran5cylVHCLEoodEyqop9Fpzj6x2gpmekELXwqW2t7emvQUnHe7Dhvtmz6hsZ4pPqXuq3BWVoz0NmB/dDSBuBJCh+w/uaQtzXDJG0cPbUkglhqiiimjBISpX+2WMj3lRKSXMWskpwuGISPyY1KCEqdkOv7XxL3bXM0dx///Uu9WcEFzLVYu8a6DX6AliFEBiTAuBL9j9N+fW94/t0Vv/vvz7i52vPlN8d8+atj5ot8Ak12m4aLVxsuXm/Y75ppYi+lQMeKKNI8+XLF1785JYoUaRpDrJHxPRMzB0M/0DY9u23D6xdrXr244ep8S7XvqKuWrhsmQClJI2azlHKecXw249HTJVKtyIQIkckPaG8HXduz37XsNjXnrzacv1pzfbmjrXuapmfozTR5kFIQxR5AKcqE5VHBYlVwdFJydDIjTh6WVtO1A/ttw25b8/rlmvOXG64utjR1TxuANikFMoBOs0XGfJGxOpnx6MmCsyeLWxDvM/DxM8bStgNt3fPi+yv+/PtX/Pn3Lzl9vODr35zy9a9PKGcZ5Sx9GPDUGy5erfn2LxdcXWyxAQBcrHJ+9U+PSPP4fuDJGNqmp617zl9teP3ihlcvbiaAr666MKH0ySvlPKOcpyxWBY+fLnn0dIlS3nT9oROizXXFn373gt/9t2csjopwv5xgjfVgV2e4eO3vlcvz7QSAmcH4/hQpylnq2+o3pxOwGQvgH8xb79bUW77TKPjhdQv4fi6Jqu5gIt/aht511OxoTcWmv+Jl/df3sI5GBrVh3Z+zG9Y4NzK7egbrJYUPB5484KHFOHn/mO8Xh8NgnAlSMXEAOKif6E3mJWEm+F4Z19OYPY3Ze9P55jvUvXJ/N5lGr/tL1v0lY5rg4IbAJPshUE8E8Og29fGHavQTm/o8Xl4yXlPvTfbpgFPfv6wHnbxbaTjuEUDy7MSH68EC+CRHDxw3gZMPvUe9jOru/j8Hu4p/hJqlCV+vFsySmN7YSQnTG0NvfHBWEsytY62mvxOtmafJ5LszVqI0j+cliVZUqz4kwoVALmPoBz8OSbQmUd43afQTmiXJW8yaw5JCME9jpJixyFJcsDrRUjBL08lH6YdKBzNwJSVCeEbR0+UcE1II3yRYjOBOkcTkUUTyxn5GvyGhBcssBZYs0pS6HyZw7Nbiy7Om8jgij/w2RxDsXeUJDH6cqKU34M7jiMFaytSDOVnsMYP3Ak9CECkPTp2UhfelKgt6Y95gE/nKQ1q296CK37rOkVI8mpVESvJlaDsbQsp6Y+mN95Hy/UXf6TtFHDNPE95c/9JKkccevBRCsMhSvjlehmty952tpJyuyQhe6h/pjf3Q+jTAk5CUOqbUMccTUwhy5U3KrtqK38yP+F9OvuD/cfLlw9Dwn/iY37dfJTzwVUYJmY7orZnMsndDG2SFDa39kBWIfx81WENtOnZ9x35o6Yxvu3cFADgHjfXA03Xngafe3t6chfbAYyJ1GGx82vKMp5hlnLMfetZt5YEna7xEVMfMIk9t/OUV/zHL4oGnDus2GPPKS0XkHCkGpHSB9fRzqJk/XvXdwPPvrvg//te/8uL7a3b/t69QWjL0lrbpaOqey9db/vbnc7798znXVzs/2W96lJakaUSSRvzzf/4CrRWnZ3Of+qIk0X2GnIEJVFcdm5uKZ99e8uffv+T7v12yvt6zvq5om34CnopZyvFpyfHpjK9+fYpUksWqIIp9lK16wH3pcHTtwG7bcHm+49u/nPPXP77i+XdX7Hct+21D2/RTOo3WkiTzDKfVccnjp0sef7Gi7w1xHLE8Kh6kbu7ant225vJ8y3d/ueAvf3zF93+9ZL+t2W2a0I4e/MiLhNNHc04eLfjymyOUEsyXOWkWg5CInybA5IPKGkvX9Oz3DS++v+a//+/f8v/7f/+B3/zzI4beUJQp4NlFD8k96ruB81cb/vivz3n2t0uGEE/96OmSLI95+uUK5u9mP5jB0jYeTHz98oY///4lf/r9S9ZXe9Y3FZubekoY0pHi+HTG8akHLq115GVCMc8QApyU96dgHdT6puJP//qS/8//63c8frqi7wbyMpmOpa376V757q8X073SDwNpGpOkEUcnJX1vKGYp84WnsWt9H3/m8y0fcqHCxFK9w9fpAeWYgITPwdvptkZwZKCzNcYNGGe46c95e/Hqvi3c/m8k4olB1bsOg3kvK+ewDttZBsbNx3q7j6CNcQMW6xddRRSMy3+aRZTDfXa2xYa2dVho4eHte9tfLAZj+4l99ENjYiEkSiqkDCycH9zjCD15/7IRdByZVh8CJP4UNaZLWuf71ZQON/adwJR7KPAzfk+LaNqmsUM4z4cznsQd5pQPwvmlfrhmwbj56yBZeki9r2Vj7QGJR7Pyg3rpg+yxBMyShFny48a+SgoyqckiD559sfih/PL3H99onaOlZ+0ssvRB5/7AO4QxvVpJ6UGrJMbCHTDsh2pc8I+kV1mdFPmPOucoyAvPZsVHu86RlESxBCLfhqvFj9reT1WfBHh6Z5IPUEYJT/I5/7I446tiyTJO36KS/VzVmJ7WeFlXZw2dNQzWEEtFLDWRVKEjesTXBl3rpm94UW/4vlpz3uzorSHXMfPYm4o/ZOIFB+kL4d8WNx3D6Gtkx0jJgJIOgVUzrhwfkuQ/tezjvvLn5+nc123NX3aX/Ner75hHqQfzdBIGP9Bbw/fVNd/vb/huf81Vuw+G2xmrYLq9iDIyFb1XaveutnWTwbmbVgGMcwzOhp+xbUez+QP55T37ipXiOCn4VXkEeJDtst1z1e75y+6SeZSySgoKHVPoeHqweTq7na5ta3oa45H/eZQyj1MKnQQa+i/rUm+XgDfSaBw92C1GNDj6sFKTf9rD/DvLOcfQD2zXNa9f3NC3A12QiDV1R5JGPP36iJOzGUOQW9lb8TnHpzPmi4w0i4lihVLire17OZulawZefn/Ni2fXvHp+w9XFlmrXEseak7M5x2fzt0YcQgqaZuDi9YY41gy94ezxguOzGSdnc7R+97TdmrBS2BvOX2/47s/nPPvuiu26xhjLfOklT/4g/T3q7K3cTkjIi4RynhHHnuUkpHgvAtR1w9R+z7+94tm3lzz//prtuqLvDLN5SjlLefT04PwO5HZN3fH6xRqlJF07cPpoztHpbGJa3X7n579LpZLESUTuPHCTF/4HYL9reP3iBq0leXn/INSFIAfnPBi43zWsryt2m4asiJkvc45OSvIiQeq77zYvZ/P96OJ8y4vvr3n5/RWXF1uur/YIYL7y1/RNHEMIH4F9fbXj+XeX4BzbTcPJ2YyT0znF7GFeBF4OCHXdcX254/m3Vx6QC9fdGOuByVhjjAfSrDHT8RSzlOVRQVGmxIlGR6FP/UPWOCL4Rz3++2pkt3gz6yRMomOZksqMROUfxN5QImIRHTOPjlnGpxRqPnkFPfyIPn4ri4PzlNymDHopoOWHp35/3z5lADYiGSPxZuGRiKeEufd5Eb2rxrZdRCeUekUs3j8JdiM7KDB4fhg0coGXZ6cf8ImDD5Gx/dQVOFyBeSiDDFYcMO2GDwPH3AgO9vi0KvnB4JU/rl/q76nx3f6x2u+utcvHrZ9SOvljtvyxt3dYDp86d77bT15bizRlkXrj70Q/jJn6U57zT9F3PuZ2P3Z9Vu5xZRTzNJ8jERylOfP45zG6ele1ZuCmq7kJzJpd31KbnlJ7ZlOuY+8UL7115Siluu5qnlc3fL+/5nWzpbOGQicsooxUxR8kjRqBkdFIu7MDffj3+Eo1BwBJbz2tUwnJlFXzmQMTQRSFxXHT1fxle4EAHmVzHqXes2sE2loz8NfdFX/anPPt/pr90KKEZB6nrOKcZez7TCRVcO9/335dSNS7BXg8U80Gj4fxZX4LOvm2HT0E4IdW+xKpOU4LDI7eGi6bPYOzXHUVf9le4hw8ymacpCWnaemPW0iUuO1PrRlYdzXrvg4S1BVfuSWxDOl9/2BysZ+nQnuIA+DJ9TganDWARYoMWPG+6N3PuYyxAXhaU+3ayYdIKUkWmD86AAFCeIClCTK1k7M582VOlsUTQPPW9gc/Od/vGl48u+b3/+0Z3/31AghU5zRivsyYLXLSNPLghHVU+5aryx3XlzsuXnv50vqmYr9rkFKE47oHeLKOYfCSrItXm0kalqQRcaJZrgqKmQeC4iSa/KvMYOnanq4bApCSEqcRWgfZ23vase8GL+nb1jz79oo//M8X/PWPr4gTv8/ZIqcM+0zSaPIGapqOmyvvmfS67mjbgeurPU+/OuI3xlLO08Dy+nT3plKSONUoLSnLlGLmf4QQnnn0Yk1RphydzN67HWudl8q1PdWu9cDTtqGYp6yOS44DEPSmP4C13qur6wYuX2/4yx9e8rv/9szLJPEA5XJRMF/kzBYZznqfsqG3XF/uuLrcsb6qANjvWtY3FWZ4HDyfPmxs0NYd1xc7nqeXoZ/5+yXLYo5OSp5+5RcHEOCso2l6mrpDR4qjk3K6/uof0N9pLPHW//7bqEOZUBLSvWKZMNOrCeT4EO8jiSILBuW58ilf+h4j9p+7pPBePCNQMQTgyY9bfooSQQKmiERCrHzb5mrOIjphER0TfRAoJ8hUEczfZ5R6QSTfdy+H/LcReHoAg+fWWcoGSZvFy9GC91bwivpUJcI1lEKHa+nHcH48b6br+VBW4aHp/yiRUyLyzMZfPEB/qX/n5Rzsu47z7Z7n6w1SejlfmcSs8rc9tn6pn74+K+Ap1zGP8xmzyGtNC/1hq0wfs7og6Tpvdly3FVddxaZvArMmZxGnxFKTBCPrxgw0ZuCq3fO8WvO8XnPT1mQ6YhalLJOcXEXvBZ6cG1dq7jKaBmsYnKEyPa3x/lEmMHS08ABFZwy16amG3lMWQ5rayMr6R4AnNn0TAKWOdVfTGh8FOzjDYC2N6fnb7oo/bs/5bn9NpmIyHXGcFBwl/rrMo3cPYt5uWzu1oQeWLI0ZbmWS1gYwz0zMt2roQtuqSQ8s3yDTH040Y6U5ir2BeDV0/GV3BQjWXcN3XLPtW666BV8NK4yzJEpPxuGN6YNJfR98wnZUg08o8UypHCHBOfnJL+zbPgK3PiBvl3jjb/fG3+/67Jvbvq/EnX/f/pE4DNbucG6PEBorj1GB6fbu43Z3tvX2sbh7fv/mdoLfxEcGIMxg2W0bzl+u2a7rkPYI82XG8cmMp18fM5tnXhakFXXVBklTNQFPaRahtHrnKQxBjrTbNLx8ds0f/vUFf/nDK1bHBaujkvki5+zJki++Pma2yG6ZLa+29IPh4tWG7aZmt6l5+fwGay2ro5JvfmNx8W3bHraLsZa+D8DT6w1//eMrfvffn/H0qyOefnXEYlUEL6Uls0U2gUBt27Pb1Oy2DcZYokihw49S778/Rknf1cWO599d8effv+T3/+M5T75c8eSLI5arnLPHS86eLJgvc28+3hturvYMg+Xi1Yb1zZ7tuublc0VddczmGU+/PiYvbtlYn6KUkv78EybAbjZLEVJQ7b3k7eikDLLFd18T55g8kdq2Z79v2awrqn2LUorlUcHR6YyiTFFv+AOMzKJq33Lxestf//ia//5fvyUrYpZHJavjgqPjki++Oebxlyvs4PtQU3f8+fevWN9UbLc1Td1x+XrL5rqinKU8+fLIM93E28d7XzVNz83VfjLxHe+X7Osjjk5nPPniCK2lB2uFl+mtbyqssayO/fklo3/V5/4ifWe9ubr6c5/ET7e/yYBaaGKZelBDF5zETzlLv+Qs+Woy+X7Y9qT3aJJexhbJGH2vj9HPV+O7zHsdKcBh7HArHwuyrenzH8OMGQ7aNpnSApfRKY/SrzhLviRRH8YcHuWBSsZEMiYS94/zR6kfHAJs7v7n1Qg5BcDJYXHOMnpvRSJC8alDWUZZmwqG8Co8k7yk8SFywMPz92NZg3E9EDFKMOUnBtj+kepQBQHvflr9XO/xw2vrHAf93QdbPSSg5d9rjfM8pnbz6XHbpuP1bs/LzY6zWcHRLOfxvGSVZ28ZnT90P/5vQLzdX365Pu+vzwp4UkISSw0RRFL9LAbh95VEEklFqjQOL727biuqvuO82YVEsVuDZ+Ms1jkaM7DuG2KpOMtKTpKSk7Tky3zJWTYjVvc3eWV6dn3Lbmi56Spu2pqbrg7btnTW8OftBd/ur7npKiKhiKSiNj1SCDZ9zXFShNU/MRlbrxIPyIySrs+pEqmQUeZTDXXCIk6ZRymdNTyrbrhqqwl46oJUzTjHMs45S0tO0xlfFku+yJfk+v7BYWN6Nn3DumvY9A2bvmbTNXQBaDLO8pfdJX/bX7EfOu8z4wzV0OEcrLuaP28vp2ueKM1xUnCcFCxiL+/LdER8EEHrI2oVDjhJCn47O6W3hk3XTIZ5u77lu/011201Se2kkNM1N4Hp1ZnhFkScJJ6fE5tt9FVqcW6HtVscHTgb/ptGiAQhYoRIw0+CdRXObrF2Ez4H4BCiQMgcKTKcG7xUzg04BnAGn1hnAANIhCyRogzb9el1oGDcn6sRQuPcmy0WjhuDszus2+LsFg4p+qJEyBmCFPApeT4mNkeIHCESvLRPAh3Wbvz5CIkUc6Scw4Nchh5eo9yuqfvJi2Z14iVeo6l2mnnzR6kEeRmTFQmLVc5s7g2lhXw3KOOcY79ruHy94dXzG24u9/TdQJJEnJwt+Po3Jzz96pijU7+fPI+x1kuytFYT8+ryfMsmTOBHdtD11Q5jfJraoRQNAsuqHairjq71CXY4R5bHHJ3MePLFiqPTGctjL30aWVZ9byjKhEXdY631JtRKUswS8jJ5L/ux2recv7zhu79ecnO9A2C5Knj8dMWv/umMr399Mkn8siKZUuKyLPKJbonm/NVm8ru6udpzdbHl8vUGIQRpFpFlMUJ92js1TjTzZcbZkyV15dPkLl5v2awrmrq7k9h3WM5a6qpju6m5Ot+x3zYMvUVpSVEmU397l9SubfrQFlvOX62pqw6pBItVwVe/OuHr35xyHPrQ8qicGE9d62WjAEWZTIDpmMp3c7VjNs+IE02SaA+e/kAZ41lxddWyOp4FOaTf99FxyfK4nJIRAeI0opxlHjA9LknSf2TQ6fOoUbIlEBM48DEkYjIwnQo9pzb+Hu5My+AGJIpE5YHlAg+9gKNHkwo/n8ObdpQPevCnYCsiHJbedjR2z37Y+FS0HwBzPnyfCbma0aoaiQppdD0giFVGqooPatuxXSX6Bw3YnXMM+OdTYyp6206gzLuuifeiauhtS2329LbDhX1GMiVVBbFMHwxEhmWjO+l4ztlgCv6+Bbb3bTO0lpBEMiZTOZkqEEKE67imiU4wzty7DRc8zbyhfk1na3rboZQmkgmFnpOp/LMATP8RyjpH2w203YC1jkgrvxAR0k3Vz8hydSF1dbCWfd1xvd5zta6IIsXpquTsaEbygDCQf49V9wNV11H1PdumY9e2bJqWZzcbbqomGGonnJUFTxZzlln63iS/+6obDE3bU3c9kVZkcUQaR5/c1/MfpT6r3quEIFG3bBL1CVclRhOxREWAox56rrsqeCl5CdYtpZdJIqWEZ8TEUrOMM74ujvimXPE4W3CSFsTvScOph46LZsvLZst3u2u+3V/x7f7arzqHgdpNV7PuanZDG16GgnXnQZRvd9dkOppelqsk41flMb8qj3maLzhNS5L3AF+fomKlybWczLYLnVBGMfuh42q/98l1gZVknJ2Al1Wc8VWx4jezE74uVpxlM/L3gGqNGXjd7Hi2v+FZdTOx0jpjJo+ndV97cHHofMpe33EjPfj37f4qJND51YZcxfzT/IR/mp3yVbniKM6JpCI+6LJSCHQAKE/Skt/OTymjhFf1hlf1llfNll3fctVW9Nbc9ifnEwfG/pSqiFRFzKPUS/2EQAVfgM9gPIwffBkPELk9xrzCmFdYtwVncAwIkSJFiZQzhFwg5QKJxNo1xjzHmGfhs34wp+QJSp2CXOFcjXU1zjU414JrcbQ41+FchyBCqTOceoSSSyAP5uESQTSBXDjN2w1mcfQ4N2DtJca8wNiXAewawDmUeoxST1BygbVbn5LnLE6doOQJoML+BM61GHuBMc8QRKC+QMjc//sjlg2m303dMVtkrI5n/PY/PuHsyZIsi0nzGK0VQnq/N2ss86VPuIuTAIbcM5hyDvbbhtcv13z/t0uuL3f0nSFJNaeP5vzmnx/zq/9wRlbEZHlCFKnJ6DvNIqTy5ttpdkHXDrz4/pp1AAyuL3cIIYIUTd95UU/gQN3StQPD4OUjWZFwfDrj8Rcr5qucxTInzePgcewmiZ4ZQix1MKmOYkWSRu+VRlW7ltcv1/z1T6/YrmsAFkc5j79Y8qt/OuM3//KYJNEkSYSO1OR3NJt7ud98mTNbXPLHf33B65drbq52XF14mWEUa6AgSaJPHoIWJzqw1Bacv/IpbpfnW9Y3NU3TYa31EhB5F3yy1lFXXlZ4eb71wNNgUEoF4MmDN0WZvCXZbJqe64sd3//tgvOXG+p9i5SSxSrnq1+f8J//l6/Iy4QsT0jz2K8iOsfQe8A3SSOKMuUvf3jF9cWW9bU/juvLPYtlQTlP0VrxkFeaHXzCn9x3PP4y4ulXR/z2Pz4ly2OyPCbN4jvAWzlL6QfvKZNlMUmqP5Nn7T9m+UUSOUXd47zZ88M8e95fSihimVGoeUhM6+hsg3EDUmhSlQep3MMuoB8/yemYH2Zo/dOXFJJIJuSqJJUFWo7AkwdZ9mZNJGNSCrSKPsox+wXYhFzPqM2ewXUM1v94UCojUwUfcnOIwPiRB218X43A2mB9ml7v2mBu7qZtHdYIxNTDlsbsA0DGxNhKVUEkkw/ypRITYCqnY3LO/qh+O94NkYxJg/RQAK2p2A03tLbCuuHe71vn26W3La2p6GxD51oScmKZUKi57yMfCYD8t17WOpq2Z7Nv6QdDnkRkaUwSa7RiWuj9Oco5n4jXdgNX6z1//u6CP31/SZHG/MffPGIxy34Bnu6ppu+5qmou9xUv1ltebLa82u4YjE+K01IwS2JOZwVP5jOySP9djKeuN2yqhuttTZHGUEISfewU03+79Vn1Xm8krlBvrGbcoR6G/50oiPiJkl9Nu/si+jGdQEnPvspUhA6zht4YdkPLrm+pho4++P8454iVJpGaQiecpiUrnfEkm/Or8ojfzk85Tkti6RlK91VrBq7bmhfbNX/eXvD7zWt+v3197+ctBpyXBe6Glhf1+s5/P0lLjLUk4TwKHXuT4cnhXxAJRSo1uYpJpUYLeedVLvCgWiI1eQBARnBQhQGZEExA4cgSy3VgAEmFfM+gJJaKPDCx8pBKV+iYxnip47NqjbGGIXgYjCyj03TGV8WKf56f8XV5RBJkj/dVZw2bruZlveGvuyv+vL3gL7tLmiDnOywphF8BcQNtaNuX9d3PlNobYhY6YR6nZCpieCP5RgBaCBCSVZySSMVZOuO7OEcLRTV0VEPHuq+5avb0ITHGWEOqYhIdkaqY46QgVZpURd7YXozG9p/DcBhGpy4YsK7C2AsG8y3W3kAYpElZ4OQSR+clbiicirH2BmNeMAx/CQwmvwLuVMPIRrJ2j3MV1u0D+NRMIJRzDULEOCw6+CVIKQPYJBFCB5ZVjHinn5MLDKoe67YY+5ph+JsHtWgDl3ZAoBA4jL0O5zWAkAhSpIwAP3F1rsXaa4bhmT8GOUO5xx9/0urAGg8+CQHLo4Jv/sMZT748ClTsv//555z3arp8teH5t1dsbiqMsaRZzNHpjK9/fcKv//mR74PyrtlylnvfqNk8ZRgML7+/oqk7Nut6YgQlwT+J2ShX9DV67/RdMHkOYEgcK/IyYbbIKEoPUqRZ7J/38i7t/CHnfPg+qaqWy9c+xU4qv7K5PCo4fbLgy2+O+dV/OHvnNvrekBeJ96yKJK+e3zB0hu26nkCarEiIk4jZ4t1Jbz9nxbFmvsw5e7xgv/dg2/Xlju2moq46+s6gdHAGPJgHeuCp9Uyu8y37fYu1lihW5GXK8qj0qYWRfMukvmt6rq/2PP/uiqvzLU3To7VisSx48uWKf/q/PEEGHy55wEozxk7JgUkScXm+wRrHdl17Bt31ns26RkeKLH9YOo913gus7wayLObx0yX//J+feg+wn1m68K6I89slrOkX/ta4M85590T3H2GwO8rhtIwC48mGZLM+yITMG2JA98a3779GI7hURksG17MffAJbb7uQ/qYmXx8h3h6N3I4pb6+B98r5PACnsSTKM570jEyXgdUkGJwHZTb9VUi4Ex5cwS+GHJ7B4bnCCAjeBX8O21kKSSIzCj2nMXt2w5rGVSHhzoTrqg9ApDcYk3f2F9LbAnvoITIw72PV09qaxlS0ZmT3tBNzigMWc28b6mHLZriiNlsG2yGFRMsosMU88CTFw6Y+QdwYJHH+eEcfpjE98bbvvrvfHrbp3XeVJBZp8BGbYZyhtbVnPJl9YG51E1B3u3XH4DpaW1GbPZXZ0toGY3skHgws9cKDbJ+JN9nnXtY66qbnZlPRdgNDmfp5Uli40+7nI0E458dBbTew3jZ89/KG//7HFyzKlONlwT99fT8T7t97dcawa1su9xXP1hv+cnnN99drn+SXJszTnEWWclL4NDnwd621wYLF3n0PC0bg+e4if9P13OwaXl1vmRcpSkqyJEarkKA3eYuGhd+DkBa4fb2PHsx3xuwhOMeGhbhJ/jliHIfPWXE3AGY6cse0AOvnJSFywY3Wce7OMUzl3HS+Uv5046LPCnganPWyImuIAogxStPG0++C584oP2rtgHGOUscUUUKm9K0U6UccSyRkYLjA18WKSCpO0zJ4OfV0Yb8mACKRkGipSKRmFiXMgg/P42xOGSWTcfT7BjJqECS1pNgpvmHJYpHy28W7Jz4PqULFPE5mPI7nrGRGLmLPARGKMkpwwK+LI2xvmbmE38xOeJzM3jhGwVla8p+WTygjb+K9SnKO4jwAIhFKSMoAuEkhSJXmLJ2RKM2vyxOy90jgRqaEdY5cRTzOZjzJFpylM74uVly11cT2cjCZuy/jjKf5klWSk0g9seTuq1RpTtMZ1jlmUcLTfMG/LM7o7UPjZu9WojRfFyu+Lo84S70vWfTWKprxQIRrwUEkFJnWnKQlg7PkOmbT15O8sjd7BrvD2B2xnpGoOYmaTec8j1Ke5AtmcXrQlz6PgbF/oFrPWnItzu0Bi5RHSLlCihlCFkhRABLnGobhGdZeetaSSMNDTgWASGDsBdauOZh6IYRCiBKYceuxJMLnz3GuResg1XvQqqYEESGcQMolSj3x52P3AehqAYl1OzzOa4K0LgVnwvHXntUkcpzb41zH6OPwoNz3v6OklKRZxGyesVgVZEXiGU7hRfOjyt16H61vKgZjvWQs96loUeSfsT4x7o3jUtIzVUzqP5t4XztjvGfUfttQLztmvXlLpRBFiiyPGXovBRyTxDbrmr/84RVdOwSGTcl8VZDncQB3dDB9lg8+9/Hl27feg2izrpkvMooyY3lUUJZpYCy9u6QURLEmyx1FkZLlCUkWTXLBzU3Fbl2zWOZT8t6nrBEAO3284OpyRxxrrLE0dc/mpuLyfDOl3mUH0rWR8XR96ZlcZrDkRUJRjobrOpi4v+0iOAyGeu/NyJum86DTKp+MuoW6TfE8LCEgirVPKJylpGmM0hJn3eQZVe0aylmCfeDzO4o0xSz1KYXzjDiNwvPm0z0/bxmuPpHqNrnL4sTIqvDGyuNEd2LhfCbP/YfWaPydqzIACQ2NqZj3V2z6Swo9DxN8Dw75QbSdQJRIxqh7hquRjCj1kpP4KThHbzuMu2I33HDefD9JxVKVk8hsYtuAwGKmdvdgVYvDkqsZuZ6RyDx8/tO/a6VQJDJjplfUekepF+TKBwNs+2ueV3+iGras4jNWtiaSifdSEprA0wlATmAtuYFU5aSyIFEpYmz/g/OUQpOrGUfx48AmG9gNayqz5bJ9Qapy5v0xqcoOJI2jr+KtKXhvWzrnwcBczyjUjEzNfrA/H/q1dLbhunvNs/pP1GY3SQ5lWMpyODb9JVftSy67l9x05xg3kKuSQs8p9Jxcz4hlGtrkh+tWDlfQmD3GDeyHlkimzPtLNv1lALdufbfGvquF97C6j3UkEWS6ZBU/oncdm7C93XDDVfuSTJV0tiWRKbHKUEJN8tRq2LHpL1n3l1x2L2hNRaI8QDjTS+bRMbmeEcmHAfP/3stYy7ZqeXW1pap7jHXEkSaJNFrJH8nJ/KV+rkqjiKM8RwpBrBXHec6vj1dkUUSqNWUS89VqwSz196QLPspdb9jsGzb7hqa/ZRrGWpGnMUUaH1g2OK42FS8uN3z7+ppZllI1PfumI0siktj3m0hLIuWDrnZ1y67pqJpumu+CIIlU6GeKJI5II411jk3VsK1aut5MYFUcaYo0Ik9i790aJKBV07OtW3ZVi7FhruygzGLKLCFLItp+oO29P+lgLIPx1kBa+gXDkWzhLMSRYl6kzPOEOPppIKLPCnjqraEeenZDR6q8ufgoVRqrMwO7vmXbt9Pfg7WcpgWneLleJBVC3F1N/9CKpKIQgkRqIun9fKryZEqYM+Hijlki3mj6lvUTS0WiInLtmUbRAzx51CBIGkm+VczKJb+dx8Tzv3/FQjpBbBWxleQiJhcRComQHsCJpUZZwcwlfKkWHOUFj5M5h8oUAZymM2Kp+bpckciIROmJgZMGoK+MEmKpmEUJZ2nJPw2nKCE5SvL3SuBG9pp1zpvLp3N+Oz+jt4bG9DRmmORn4Ka2jZWm1AlFlBArHYYu7wOeIk7TkiKKeZIvqE1HPfThAfDhpaRkphPK4J0VK030hpeMw2Bd7UELJ9GyQJMg09Kfazb3SYUhwa43lwzmgt6cE+tTInVKrE5CeqIHNfMAsI4Tts9n+jEOuIYAtu0BhZQrIv1bpFyC0AgirN0EUOkc5yqg8/5PeD8mRIKza6y5wLodQmQIkSFlBhQBVPJAz+gB5eV6z7Fi4wEu+ejBwJNABz+mBUiHECnWrhH2Bmu3foXebjGiCj5SZWBZ9Vh7iRDXCLfwXk6uB9eFbY/eIB//KkklSDMfZ79cFeRFjNLqo2jMHdC1Pbttw+amIk40aRazWOUeTIo14h6QR0kxyduKIiGONULeAk+7beMZNiHZ7LB0AJ5wXuqUlx5U2q5r/vrHV1xdbHn8dMWjL5acPV6wOik5cv56EWlE9MC2DjRZ5xxdZ6j2LdubiqJIPKvrZEYx86l095UQHnhSSnq5WBGTZpH3p+o88LTd1G8Zd3+q8h5POUIIXj6/IU40xlqaqmNzU3N1vsUah4402YFXsLWWat9yHZIKh8FQFCnLI58wmKRRkHTyVn8YektVtdxce4+wONbkhZfIJUkUgMK3wcuR5QYJxTwlyXyanHWOPgBP+31L23o/jodUFCuKMmV1MmM2z0iS6OOAtH9n3Zoge6DJ2APz5ODvZ8XtxH0EnkYIZGRffE5vgPfVrfH3jP2wprZ76sDSGYEnLbyJtxRqOm8hJBnlZHD9ropETKkXCKB3Hev+CusGDzy132PcwDw6mn6kUBPINQTW1WA7KrOhGrYYBo7jJwgh0DJGOuWZsz9vk71VUijSAO7U0Z4iWlLoGZXZsR2ug9xuO8kMM1USq5REpn4FHZ/a25g9TZBn+dQ/69lowiGE5nCxRAlNoedTX90NNzhnqQYPPDksi+h6attIxBMIY9wwtW9ttlTDltrsOEqe4OInRDJFoX8g6fkWnO1sw01/jqoVtdmFVL0TtIiC75Lhqn3Fq/Y7Xjff0traA0965oFENSNX82Dq/VDG0yiH8xK2/dCyNxtkr9j0x2y6S4we0MGIfjI2x5BI/yDV6t3jXyEkmSo5ih9Nksmb7jWV2XHVvUSJiM40lNGCUi+JROwZVgxs+2su2udctM/ZD2taW0/MtFnk0xwTlX9g4uC/3zLWsd03vLrcstu3YfKdUGQx1qpxpeqX+swrizSyyCiSmKM8p171NMPgARYpiZWiTGLKxAOy1jo/Dmp7zm92PLtYs9k302CmSGNOFgXH85wk0hPj8HJT8eJqw99eXlNmCVUAlWZ5yixPmOUJWaxJk4hYKW52Na9vdlxtKgbrMMYiBJRZ4gGiPGGRp4giZTCWi5s9Ly637JsWG8gZZXZ7LGkSESlFpBU3+5pXV1teXe/oBw8sGWt5tJpxtio5muVs65Zt1bCrO+9l1g8MxpJEmjjy4JixFmP8fp6ezMniiPgnIkx+VsBTZwzrruGy3TOLUr8ioCJ8GKqfL+yHjqu24qLZs+latn3DYP1AbZQe5Tom137y4wKK58JEY3Shl4FePyYGeJXUrSO+CD46WmjSSHMS5SBEMED13xFC+AE34oDGdut2f0udE54tIRzm4HPTNkb2QO9QNcQ7wSrNOI0WnMwX90pnpvPhdjuHo6Oh95Oqet8irEBFYGOLRhLjwQytBIXWnEQZiYrISLDG4fB0TgeUMqaII1w0f/tYrJ+cRE6iichVxIkubj/3A3S9kYBtnSNVmlVS8GWx/CB/L9/mXqZlA6X7gEeIQBJLiOOIJRGHDJpb+8i3CfiHnzkEEG79BUZGi/ANEVZP/WclzvVYV2PsGoFPcdHSG5MvohgODSqdY7COfmjpzZZIzYj0CZF6wmTA6ixME45buu2tRGB8OR6yofyx/PRyjPE8vOTOs5gypFyg9JcoeXRwvB24FmPOgSEcXzwBSlLkDNbL6qy9RIo5SIdzOjCecs+ikkukXOJsjbGvgwQOnHoatvsBx41FiAgpS4QL19UJkAIXpH7OGYRKkSL17CZ7ibXXwICULeANVz0rKoBoPNxb5ENKBoCnnGeU88yzQtTHus5ewldVHbttTSkyDzBECms8ELG52b/7m84/D0bTb2s8I8Ua77FT7VuaumN4B+PJM2c8Q2q+yFgdl6yOSrpu4Ppyz/qmpu8MXTfQtT1t03uGUTeQpDFpGk1gkNLyDrDwZvKRX91x9MGgfb9rsdaRpN63KQseWfeVl4cpCGBZmkbESUTbDPS9Ybdr2O8auu7h4MhPWVHkgZcoUswX2WQ833cD203NxestSnvfpsN3mDGWet9O5vBJGlHMUlbHJeXMM9KUfvezejCGpvbJiM55UGsE89rGM63e1V2dw79nnaPvRu8u//u+M9RVR73v6LvhwWwyHSmyImax9OBpHPzFfi6Zmk/Z8nHwPrlqjE0fJkZIPXjQYHADOIGw4ta/Z1gTy2QCTZTwxsw6mGAfeuZ8jqVFRKYKZtGK3rV+smwq9sOGdX9JIv0k2fvv6ImJpIJ0LJYp8G72hhIRufLsjsrsKPScWKYTUDLYntZ6Y2rjeqTQwdxa0Qf2T29bdsOa/bDGYohlShmtKAL49dbD6hPU6LekZUxpF8z1EYvoBIulCW15C056Ns3I8nI4jPPAU2121GZLa5qpbXNVYoVEOnfndeXBrgIlNIPtuNQvSVRONWyozBbbmiB/axhc7/sovn09oNczuI79sGE/rNmbDVpGFHqOxSKxvI8VPEospVCe6WO2iE5MoJZ1Bi3iAFQOXHWvuGpfctW+RElNIvMJjCn0nPQDE/hkMHQv9CIAZxWD7anNjm1/zbV+TWdbb+guYzgAnkq9REtNRnnPuUkyVeBiC8Kx7a+4kAk2tO1V95LBeeP4zrTEMmFwA4aBTX/FRfuC8/YZ1hkiGTOLVsyjY2Z6RaEXaBn/7MC0CZNecyArOpQOOed84Im8ZVmMMqfxSKX0pt4jq2OsESQwxr5TGjXJHcM0SCmJVgqt3l4kGxe7x+Pd7huu1hWvLrdsdg15FjMvU+JITwyROFKTBElKMZ3H3RTYcQ7pGMzt8Y5ztTdlXDJsQx38fV9Z6+j6garpSCp9MP/zjezAt1sIVxktUN46vgOVyeH1uvOIE+Px+WPyJuvijjTs8JqPYMetbExgrT24RkzbH6/9GOah3pDa/5hKtCZ5oFn42B+NtTRdz/W24vnFhqtthVa+7y3KbGI9TafgYN90rHcNF+s9TTeglCTSPkhKSoh08KlWfqFoU7W8vt7x8mo7bUcrOTGP/CKH7/Ntb7jaVry63rKpmul6zYt0uqdmeUKexkghaLqBzb7l/GY3sZr6wc8PdWjf623Nza5mvW+mzxg7Ak8e/B+MB60WRcYsTxhWf58a6CH1WQFP277lu/0Nf1hf8EUxRwDLJJtAGuMsr+odf1pf8N3+htFfSAvJi2rLpmt5lez4opjzRb5AaUnXDvRd+Om9ua6UIqQqRVhr6dthmiCMoJLWPo47ihRSyelh0zZ+wtN3hihWfqKjJWawmMFMD0VnvcltFOk7sd4iyE6G3tB3A1qrKeGp3rdUVUu1b5FhEtl3Bh374xilNOAfM0Nn/OTOWqJIT8cC/qHRNB03l97UVyrpJ3LH5SQhcc6x29TTZ/yEYoY7uX0COed8ylDT0/eGKPaTh3FSNt4Uw+DbFpjaLYr11M5v+n8clnvj7w8vg3U7rN15WdsYoStkYNHE+MHNCDIYnOtxDHhj6AgZ/BJuz7sLPj/9ARsnwptO+/OUIkfKAoHCur33IsIgRYIQafD72WHsGilSpCvC62HwoIoLCWlhX8ZeM9hLfx7SJ70ZkWEnP6PADBIxIgBoI2jimUber8qDHhGCZDoW3ulv9FOUYEywkyL1bKJ3gnoeoPKAnWJMofMyO4WUCw8Q2/k7ti8Rwc9JIKeX4WEq3kPLe0WFFD7X4FyNowlyuR6Bxgk1veAFcUjQK7Du2n/e7Xy/cA1CZECEUqdIsfBm6h9gZPrw8i9rrW+fUR9tzunCIG8wQXJX03fDBPRcXe5YrN49gB+fBzjHq+c3PPv2kq4dSNKIIWxvmACpu9fJ+4WA0pKTR3Nv/pzFU6pZXXVIKbi52lFXLeevNpR/OaecZcwWGbN5xnyZs1gVLI/y8NyRb5mLO+f9sYyx2PDid/jntVKSKFIfDOLJ8XtagnOY3jAMt8Dbpy7/LlIIvFn7bO4lhUpLqn3L6xc3ZHnM6thPkozxA+a27tnvW7briv2uIStilkc5J2dzyln6XnBuBK6GfqBtB0yQ3jkH203Ds++u3t1nDxZmqn3Ln373ks1NhbPOm4R2/t05msk/pKQQ6HCNtH67T/zU1dmGxuypzY79sDkAOewktbtsX3LVvaQyW5T1k/fONjgcldmQq/nkjZPIjDJaUurlJCNLVX6vHO1TV6wy5gEkkUhckG1ZDDfdOZ1tJkBokmsJPzEXCC8pU8U7ty2ERMkILMz0isfp14DzZtiBcdOYPZduYDNcTVKw0WvqVu5osBgiETMaoUvul4F9ihqPJZE5R8ljjBuY9Ss2/TWb/gopJK2tueheoHs9AZRw+7QdGXQCQe+8tHBk478le0X470tHruecJV9inWHbX0/AUmdbbrpz9sNmkur5tg0CP+fZUoYRFFNvtO397SuFJJU5kfCywVQXoU9I7zdl/AKICQy50RspVhmFXrCIjllEx5wkX5AFWeKHlBYRhV5wHD+ZWsTLYj0I9rL+2wSWKunHLzLIB0+Sp0QyYa6P3nmOImw/lQVGG06SL+hdT6mXE8t/N6zpbMOmu/RMwLAg2tuWzjakMidWKTO9ooyWnCRPmEWrYIb+81fVdGx2Detd7SfVYU7VdD1t5ye8syKhzBPSJKKqO/aNZ2GMYESWxJyuCk5WJeWBh1/bD2x2Netdw65qqZqeuummhZ0JaAlzteNFwfGy5GRZTPM3P8G23kOpH7jZ1txsKs6vdvz5+0teXmzYVx2RlvSD4dXF1kunYk2eRhRZTJF7JlSZJ5RZcmducwiOXW9rrjcV15uKYQjgzAhC4dnhRebboswTZkXCvEjR6k3lRGjbtufl5Ybf/+01WRLTD+ZAiuW3uZrlHC8LjpcFkVbEkWfFHFYXgIe67bnZVtxsa/bVoQTsFhzKs5ijec7RoiBLownYOnxv7+tuOk8l/Ts21oqq8de2brx0cZTF52ns5Wt57CVdZToBOz9rOc90G43H/Y/xC595ynKWsZplHM1ylmVKom8ZT/PCs5rKLOFonvP0eM7Xj1aUWUyexORTW0msdfSDoe56mn5gVWasZjmLIiVLNFkSoZXCOsfVpqYKbSaFIE9i1ATQSXZNR/P6huN5zuOjOYs8ZZYlnC793HLfdP6+aHuUlOybDncD2yDdq9s+SPbi6dhGANLh28MEwPCnZPl9VqOUbe+T2f6Pq+e0pmcZZ3zjjoIu3dKZgVfVlj+sL/jd+jWLOGMZpxRRzDpE1M+iBAGskpxcRHRtP7F+mrqnqTu0lhRlSjFLJ1ZQtWt9MpLxN0iSRqSZl0/oyINQSkq2m5rtuqau2skTI4o1XdtPIJcftDukEiFhyic/jQypvvNpVE3dEcfee6Io0+k468qvvg+9Yb9vyTJ/LEkWT4iyc957o6k6hsEb3WbhWEa0er9reP3ihlfPr9FaYQaL1ookRIFb67i+3PLq+Q2vn9+wPC59lGjiaeUusAL2u8Z7s1QdWZGQ5fEUL+2cwxo3AXI+2Somzb0nTBEmJ28mHn3Mchis3TGYc4zbgBtwzoDQd8ChiV/luiCBa5AiDgya/M4gyANJFdbVSFF4JoxIA0jUAqDVMcJFIGK/f3uJcz1KzpBihqPDuq33KRI9Ti4DI8hhbYWxGw+YuQpn95gJPNth7BYp1giRYEKSmrUVMoAeUqS35zMBWQ0QALFw3jBHiZifDXgSIgB5IUkuTCLu1gj+DcC4IqMDSHULPElKnBywbhvAnQPvJCEhJNfdrpi6N35+uEZWlTGvmUzLaSAAjYgIDo0lRezldrIE472qjL1GCg9geZ+oxyh5ipQr/7mfoO2FAKUEOpIB2P64RoDW2olN1HcDexpvMH2x5a9/ek383lQVP2iuq47NuqJre6z1z9q29QsAxrq3r1AA5pVWnDxaEMU+Re/V8xtePr/h4tWG7brm+nJP0/TT4CgrYo5PZxydzHj0xYovvz4mTjQyPHM8S+7g6Jx/xo/Pe2ctOJAirBiG59V9qX9vHXZY2dKRmgaNw2AwvfGD4k9PlvCyNi2QSpDnMbOFB560Uh54erlmdVzSNh68NgHgaZqeauc9sPa7hkdPlyxWBSdnM8pZ9n7gyTqssfS9B5zqvX9ubtYVz7+7/AFjcN9uw2DY3NRs1pVftBk86NR1IfXwgYMjIQVKS6JYeUnqzw48tWyHa266Cy6755NM5tZs1LNWWuuNm0dwpBJb9mbDefs8GAX7+zxXc87SLzlNvuQofgQ44jAB/hwrkZmX/0i/atu7lsZUGDdw059z2b08YLdIDzTImJleeTmSfXTvtiXCv+ulZBatAMjVjJv+gpvunJv+nNpUbPrr4OE0jgPcJOEbpYCJSol1GkCRw0S7zwt8SmTGcfyITObM+xUX7Qu0iKjNjs427IYbzwI6XIQTEok3eI9ETKKyYBJuA3v7HbJXBEp4yXih55wmX5LInE1/yXV/zk13HsDUNb3rsM5w2LbjTyJT374yO4D0fsggwTOuRmAnEkm4RhkmSCmrYcsQ9mucCcBlFPrbCWfpVzxKvqKMluT6w4EnJTSlWqASD4oaO9DaavK52vbXTIoDJEpEgbkXo4RmHh3dku/fcSW1jBHBuHxInqKCX9mmv2DdXbIf1myCzNYFGYVAeLN0kZConGV8wknylJPkKaVeUgSA+lP02brpeX215fnr9STnGQbLZt+w3TdUTc/Z8YxHRzPms5Srmz2XN3u2VevZGUqynOX89pvTCZAZq+sGLtcVz1+vOb/ecbXec7WugmzJkxBGdo5Skl9/eYxzMC89mBMhQXngqe0HdlXLi/M137+84ftXNzw/X/PqYkPd9vSDmZhPWikiLZkVKSfLgpMAigFkScxhKJp1jn6w9MPAxfWOv7245tsXV7TdQBPeWyPrSCvJyark9Kjk7GjG45N5SNE7BGFun1V10/HyYjuxmOqmpwrA26i4+erJit98eeIDWVIfwHIIPDkH3WDY1S3///beu0mOI88SfC5DR4oSQAFgs8XM7Jnt2n3/D7J2Zme2NzOcJgECKJUypLvfHz93z6wCCiiAAAhy4rVVkywROiPCnz+x2jT456+3+Pn1DS5vdgflExCP4cksx1+fndAEHmOAz9M8vrZ2TYdXl2v89PIaWolILF2vdrhaESEVLGAAsJzlWNY5ThclLs5qT+p9e+IpKN9HYzGMBoMnBzlnqIsUz09nOKlzlBkRjZEQdEB9ZKlb1jkuTmr89enCZzsJKMFh/Htm5xVIbT+i6wfkaY3npzUuTuqorBqMwdVqh+v1Hpt9h24YwTlDHjOjBNp+xGrXYrVrMRgbScoqp7zmREufU9Vhvaex4L4bsGt67DsipIy1yFONRZkjTxX2HV1DjR38hLONSrWv+dr6Xb2lNOOIq3aP/9reYqEzbMcegEPv8352Q48bb7O7bHfQXGKZZNBcYtPvcNXtcc0bXOQ1emPgBJE3XUvk025D9gciZxikFug7shqsb/aw1tEA5UiV1HcDdKJ8iKrEfttis9pjv239zCspnwLxElQ/YCwqoYJqSUhii/ueQnZ3mw5ppmg2Wov4Qt13NCDngth767ela4coYyQlEpFdgUUfRwOVSFJrSY7eh/murvdQWqBeFBiGMQa1WufIZrJucXu1hZAC82URFQlBKbbdtNitWzR7qjkfuhFJdjB/WkuBurTdIKWKoAwUsu19HL/pInfGt6ndwNgbxJuik3CMbF9gws/BkZrJovMEElk6nZN+dm5EyCkKqiTAwtkRjCVReQQwcJb4sGzniaoVnBv8QDf1BFgH6/YAmFckOTgMsG5HDWl3mtoahLY2a3cwbAUGAePWnqTaQ7gWjndwLItHzcHEbT20UgkwlwDM/Naj+0mg10gBspgphKDwu+BgUERMRSPt6BVoI5hXmQEFOJeAZbDGt8zFc9PAWQnLuVcpjQAL6ioOUr0N8XdtVDJ18dyGEHRr17D2mghAfw4YKyPZGJr2aP8UGEvBWebzMBzgfHuSawFICuvjcyKemMJXCRj3NlbhXxA+JVj7UQiqE2sxWiKXAQp33m3bT5JGV7Mc9TxHUSZI/P3p0PpxtEt+BzgHqlmGvEywPKuQ5ho6IRsdF7fo4mTCgL4bIG4E9rsem1WLviPZc5orOOeQFwlEce8l3AVl1kF6Djh/TGn9H8vju7vdR7OtxNj72cMgvf/9mSfOyTYqwJHlCepZjpPTCuNIOU9dM+Di+RJdO9AMXT+i2ffxmdnsO/T9CKXpGXFyVqGoEsgHbHaEYG+nZ1OY/R78ZI+U+0dvf5ppZLlGWWVIMuUJpPcESz0AaprhEFL4z+e3GJQdK4eNV4c0aMwW23GF9XD9zl8IppCJu8EKMZfnzvcMynGGTjW+Yn585zoTXPrA4RksyLZGId/5RwmqoH4RvjEuEDqFrJHwHNIPrB/7KVFcx4yizjbobIPedt6CtUZnG3+cHCmiOO1LzL26t2/3rSuhKS0XpVep1NAi9aqeHhhBljrXw3nLmYOjXB5OxIHw4d25KKFFRnlTsa3tLqKywTqMI4NkGUo5h2ASuah9o9jnEYFk/6DlO0fKiGDFOT6egi2QixqKp4CjDLTr7i364Rr7bguDHuAG4CY2wAWbJucCiiVQTJFSxxNT95/VtO/CK2gYuOIx1Jsx7q87so8aQ+qyEIAtmKTsI2gwb1nLZYVEZJ5wCc12D19DDBySaSQ8QyIypLxAKnL0XvFj3IjBk2cWBpKR8q+QMyz1U5wmz3CWvohB65+KcM2GkO7W0LXLmaBr165h3BAtv8Fux8B9ftvD937GGASCKk1gpk6heIKU52RVtAMG18MYQw2N3vbJmYCCRiJyVHLh9/M5zpMXSEQGHtTgH7k3ks0yQSFr1GqJQs6QiRIJzyCZ+kj21vvRDSPWuxZvrjdo+9EP6A02uy4ST6OfjKh3CVbbFmuvYKLPlMO6brGc5WifLg5jMpAao+uJMFptW9xuGtys9hiNieOiAxzylNQ65ycVskSCaVJAx4knY9F2tLz1kYqq7QYo2UEIjmG0kYSx1iHVEnmm0XuBwf13634w2O4p6PntzRavr9Z49XYdj8M42mjxUoLU6mmiUOYJ+uFdW77D4V4TyLLrNT03G69sGWJgtIGUAmWeYF5nsNZBCo706Bq0zmLf9LhZ7fHmZou3N1tc3u5wvdp5VZJvO/OTgONokKcaZa7BGEPtUigpcKwj6PoRt+s9Xr1dQXlbWp5prLy9a71tI7ED0P1MSUHHMUzO/c5gjEFJjlST+ojIM4UsUdCKWtylEBBRlaeQaYVUK5RZgnmZ4WxeelsnPS/60aAbRjg3wrhgR3RItYpkVcB23+Gt22HTdFjtmmhx1EogT2g7AGC1A5qOzns3jBgM8Q1aChSpvuPa2ncDEU4dqQ27fgQ8OVtmpDYL57jtR8ATceH6/Jr4roinAAZ6iReMwrpb0+Ky3eFtu0NrRtQ6wd+qJX4o5/hLuSCVEwNu+xa9HSnzKdwQju5FZB+xENwCzsXB0ziQAilmpsyyaC3ZrBrkBX1gWEYLk95GFoJX2R7e9kYsZVFlKOoUQnC0zYBm34G1DFmuwXMerR70Mi5otp1z8NDywxBtD8vTCq0ntTarxk9KsZjxMlsUtJ52QNvQ71WzHHmZAIz5DJgUUklSeZUp0lzD+Yuz2fWkuKoOTVJFlWJzS9aK26sdrJeICiko86Pp/b56j7MfAOclNV7lRYKsTJBlOgYNf104ODeSJQ0GgtcUFA0O5/awbkuzfhDe9sTBkQA8KINKcFbC2o3PZLolaxyfQSKBdS0ppOwmXqGMSVjXwtg1GFNEbLjR/1R4e58nYRwAdlDhODcQsWSvQeqeCpydw9hrjHgLaxo418HYG6/AMXAYwSC8umsHx6htLTSnUYZUAoYEnJcQvARnubd+fbsq2MeAsQScLyDlC1i7grUbGLMCZ3swnsN5xRZjOYCECDxYANZb4jpYewNqwktpoG93ZGsDWREDQWjMGxj7moglewtrb8EAWFbBsAqU3dSBzpXFoZHPwVoDxoikgrdl0v3E2/1YCs5rUJPdAIcBlPMEUnrFoNbvZ7b8sYi2My2RettxkkjUnkTK8k+boSrrDMtTsvqePalR+LriB9fPmJdtS8wXBeCAvEhwel7hh7+eYL1qsF032KwbtD6svGl6vPl1BS4Y+m7A0+cLXDxfQGt5R3HJOJH60lEWVMhpcBYYR3opNibkxX0cwVIWXgDhVVuh7e17y91JUgoaP7+Y4+Z6i9vrHbabBut1g7YZSOG27bC+oba7/baDNY7UuT5YfL4sidT7APHEGAP3CrIsT0gRJjnKWRavo085MjqR/plY4uS8xmyeQ6lvZSH+LXBQPEGp5jEzppYneJr++NlLDAqimT5FKedIfbvXMTJR4Cx5Du5b4kIl/FydIZf3Lcx3QeoYWs958gMcHFqzx1ydYq7P/Dpz3+T1cZB1jcKrSznHWWKQ8IxIKNNisG2cRmGM+TY2hUyUOE0ukNzL5gkz1aMPaT1kuXAiGDhQySWQMqSiQGf36GyL3jQ4tAk6HzRNZEwiMmieIRM5anmC1DfavU/xNBiDnbcJ7Q1DxS7wLwWDEtI3qM1ipf2nWvWMJcvErukwWocy1SgyjYQfXtfZ0TnSLEMhlpgLwLoCZpiha+ZINEeZKlQ5Bflz/76geALFNDRPMddnKAQRZvcb7d45h4xBcAUNIiBP8QwJz9Dop+hti842PscsKJ54tE8GtVMiUtRyiUxUD5J678JFIquQMyz0GRjjWIzneJJuMLoBoQFSsQRapNA8Q62WmKmTqJgKgfyfgmD55ABSnmOpzyGYwEKfozMtetvABJUXnM9dU5BcY6mfoFTzR51/5vO7Mq+PYmDIRImzcYvB9bFtMajwSLGWI+VEeFZyAcWTGJr/GNB+PMFfi/+JpX6KQs5QyBqlpDDzh9r4HouQcQOQymUxy4Ejxc1m16IuU/x4sYQQHK+v1nh9tUHbDaS0HgxGYyLpqpXArEzx9LRGkWlcnNZktXMOIXZlu++w3rVYbVtwzrBterx6u8KizrGomVcUcSRKosyBi7MaSgpURYJEC8pnbDo8O5/h+fkc8ypDoikHp8g02eHKFLMyRZEn74xttvsWv7xe4Zc3K2z2Lax1OJlRGHTq1SvwhDnnnCxbBS1vXmXQ955nLti0ugHGEJn2ZFmhyJJIDu2aHpsdEXh5qrBve/z08hrD2QxaUkMZza05jKPFzXqPn17d4NerNaTgeHE+x18uFgjTxkTIDWh7Ejp0/YifXt5g3w548WSOPNPv2PcC2n6IDXFZqnBxVuPvL048GUK/E5RsdZFiOcvpmPwOYGCHayFLcD4vSanfDeAMeHOzxXbfo87pHAUCKJBAj18PkT1aCqT++rtP6jqECQeyp97NESNVVJZQuHjYXmsdXt9sKRKhH9EGhaExh0wuv1wAMY86KOZ4+OIM4iir7FvQgN8V8RRm2Xj84p54GnHZ7vDP7S06O2KmU1QqwV+rJf5WLaPV7j8319gMBoMLEny/RMaijGwcTLwZhhMzDgZd08d68qfPF7i93uFtS9YOADH7A2CUq6IlkVPNgHE45EORRU/h9LwGFxxvX93i9qqHtdaTRTpui/FWj7D8SOSASKrlaYWLH5Z4++sK7b6P2wJQBlWaa8wWBdJc4+2vt1jf7DAMBnmZIEnUwcZXZVBKELFUBeIJ0a4XAorD7xZlSpkemxZvf72FThR0Ir2CyaId6EFLgyvhq6+p2jwrEuQ5tTwdMla+LvHhXe9eEWPAWQElyJM/mF9gzFs4dGSrQxJJjWhb8/+kTKcexl6DiQtINoMU5xjMSxizgrFXYH4ZpGBqYJ0AnIS1ezifCQQIcCRwjHuiy0WLHQBPkpHiSfAZBDuHks8xjArWtgCu4dDB2A4GLNrWiMwaYV1PAg3fEkc/S8BZIJwKsheyxG/P90Y8peBiCTDuH0YrWHsFx1Jw14DxBmADGHeUzOUGhNwuYANr6b9jJhRTnoSqwHntlWk9nR/7Bsb8DGuuve1xA4CB2QrMlCDLHxFPzhmEXC7GDDgf/c8oOB538qo4GIh4sm4HeELMIZCPEl8rWPxbgEdrkow23npG98anzxeYL9+ft/IQklQhz+keQQR38kFChnMGxxg0A2aLHFmR4OS8JpVnP2K/bXH1dovrtxu8fb3Cry9v8fqXW+y3LbpuwOpmj3bfQycSp09qJDi8LARJPqS/74qDijRYzMbRPDq4OtiNR5/xB8CrTgX4B7Ltfi/QhEWOJ89maNseb1+vcH25xWbVoG2IxNttW9xcb3H1ZoPdtqUcQS2RlwnmiwLzZeGD3D/c/Cc4j8He4Tp6cjGPpOCnfDyk4PR8KTSKMkVZZ38A4okmHDTX4GyOTBSo1QkG22OM7ZefDg6yIGkfNh1Cxo+RihJnyXPUKhQ7sKhyoLDuh0EKIoZE5DhPf0CtljBuhOIpNE+84kZ9AvHE/O9ylHIOzTPM9Vm0SJFF62j/vBomEEIJz+783Dk/QPLZMNA0k84ZB7gCdwJcUTD2Qp975ZSJJAH8/4c8IlI8yagICkHn/IGJg9FYbJoOl6sdwDmq8hkuymfQUvjzoSCZhuLqk4knax12TY/L9Z7aP/1g4+54h7RCjglonqPgAHgGixrdMMd+v8RCZLjQFS5mFRHgfjsCAckh4rUgvVr4g8QTOF1nnFQ3WhD5SY2LJpJOQYd2fGzpuIponSMF3GMmZQ5LFEyiVDVOk2dIRUFB215hFRXJjEPgeD0JNEs8wfV59+JA2IWQ9ULOYdxwtM9ekedcVCRxcOj3XLcPH1vmP1O03bkosbRPaf9g7+wjqe25J5kEFFdQPIXiGiG77FH7xSSW+gkyUWKwXWzmk1xD+YbJ34Jw/+eMoSwSVHmKNFH46eU1fnp1jZv1Hv+rvsCPzxZYzgr87//DcHW7QxvUHOMYn6eMUVbRrMwgOMfZovRzgCzOBTIAv15t8M9fb8Be3xLxtCcbGGMMeaoApNE2JiVZ6JazHCfzHP1gcLXagwuG52cz/NuP57g4rZEF5Yv2Nqqj7KT7JN9m1+GXN7f4f/79NbQUyBKF5azA+bLC+bLEcu7fm/zwVPg6eyVJ+XS/vp6se2R5F4IjzxSenFQ4X1bIMyKkb9cNXl9t8PpqjX4w2DeUs6WkwLz2158LtjKDm/Ue//XqGr+8WeHvL07x48UcT0+rSHD0w4ib9R7Xqz1W2wabHam39m1PxNdJBTxAvgRlTT8Y/O3FCZ6dzfDjs6W/B9CknxQUW6MkR6LV70c8+WiFQwC7Q6YVbncNrtekCOOcYVnlWA4j5mUGxhgS9Ynb68+zViJa8d4VYxyFvTsqABOcQQrmw9fJdpdqiWWdk3jFOry52aIfRnQDqauUpHwtFffrENXEjoim46/jkHwG9ilJJZ+N74p4grcshGBC6yxGa7DpW7xtd/hlt0KpNCqdYq5SvCjmuMhrJEKikNTgMNqDjPo47+X4ODpHyqdxMBh7CsUeR/IJJ5lCNc/RNgMYqH1H+XBvITnGgTy6ZIE72N2CpUAIGsBw7uWZDhiGMYbZHkvYnCNGOwx2QlgqWe9owFfPcwpWdS7mb4SLKQSYC0kD+HEwGAca+CpFORY6kX7bhZ/dJ8kgJF2IwcIifXh5CON1luqwu3agv1GUkxKOprMOzFgYUBgwF5wGlz4DKs10DDH/+nCAMzgEgjvAvxDTS0HvSQGALrIMlEN0IJ2IjFL+Bt2DiAbmrVIA3AjrOggoMK7AmIZ1Pay5RnyKQHgChAgH57x1z3WwjB+FiQcbXwvuCr9ViogkJhBIENoGRwQW1N39DfsMIjkoJyADZyU4z8FZcdj2b4KQtaS9imzuCbEU94kvCj4vwbmE4Hs4ewvGciLWWAJAA0yDQQNQdC4dO+w3LJwzYIzaF0lhlkHwE088FUTvOyBa75jyRJGjcwSBYPOjLCoOHhVLJpJ5tA3wv5f668S/pDMFxjJwlsMybxFE4s9VOJd/QHjFTpJQTlvqP8+5J39++Ospzp/OPmmRQvK7pQO+Vez9q2dhMwAukEmBLEe8xzpvEa7nOeo5Ne713UjKHW+b3m9bJKnCxQ/LdwK+Q9aeYKTG0VoiSRUYA6l9dl20MD8Ekuu7aEsLFmkzOrL6+Uw+dVQI8b1AJ9Tcd/Z0hqu3GzAw7Lcd9rsWO29JX9/scf12g+vLDbp2iCH2pVfE5kUSQ1wfAhccKpFIMw1jLGX/pRrzZYGLFwv8/V+ffNKxCQHppDgWXsn22z5jRGaHQR07+grP6ePv4yPfPwwM6csAvvRBgJP1DfooJDssIwzAH7PO46/7ywj7Qz9XTELJCgXqB5Z9/FZ0OA/x80fDYeR8hpTVpBh3FnYket0ywHB6TgXbG2fhhZnHF+nR2qhI4IzBWgnuBJTN4oswCw3EwUIX3pMcwB3DyBgsG+Nm9l6ZsG17CM5QZgltrc9mCzav97WYhVnl2LjkjhQ6PjcOAGCBwTkYa+7Y3jhnaLoBm32Hm00DJThyVSLLS6ROgTnfK+sYvf/B+GNH64sv/0fXfsgbsdahG0asdg1uNnv0g4FSNIAVggYJofkqBOMayyBdjlKmaLlGZiXUoJC7EkuxxEW2BAPi8oOlxjoHbhksZ+jZ3esqKBTonB62lyZH6dgmeByp8tvhyx8Yh+ZkHQ3Wz9+01DuKVnfn39g7PyF1nBAUbu6OfmI9AWVhIhnE79lQ37WuuDvLAOjzJpjy9s9DlMKx4u44DD9keAVLLJFOx9t19zMfPtUOodwFvpSg8GOuu/ew3xqqzzm5VhijzJzTeYmqSHDpVRo7n+t0Mivw7HyOn3+9pSzapo9NaaPPb3LCRaJAKwkprB8scwSrOwNDqpto/+4HUiVa6zArMwx+jCcYA2jeKZIeSgosasq96fsRsyrD+bLEs/NZJHgeUvkcn9umHfD2ZoefXl7jyUmFqkjwZFnh4myGi7Ma5yfVnb8L99R4b2E8hnCHM2cd3TsU5yiyBCfzEk9Pa9RlirpIUeU7cE4NgVe3O9ysKfvqfFmh72k8aPw4s+1HrLYt3lxv8evlGqeLEsZS9m8Iww4KUsEZjHHYNR2ubncQnFOm1AeU4NbbhIfRQCuJ5SzHD0/n8blAE3z+E+2O4gl+ZzBGhFiiJVQr0I8Gqx2pcANplGqJYdT0afJqPi0F4Cg8/3bbIFEyBrCPJtgI6d4pjux69997aP0cqZboegnGKIusH0y859PkAxFXnW833DU9hZb3I9p+QJYo5IkGSxXxICR185+Pw/Fmx//zyrlveRq+L+IJQUIMjNZiPw5Y9S2uuj1e7zd4uV/jx3KBizzBs2KGRZIhEaGxw8WH9/3nifOf40CggDHKdvIzvONgvP3i/dLfoTfY+fDx8FIUaigDrKMg1bDcy9crCCXQ7Dq6qNTdykjOeZytDdXS+12HcbCR/HnfSzkXxJBLSflUq+sd9ruWglsZDSpopp0fSC1vHWn3PZpdR/lLvm2PSDiDoSNrYdtQCKw1FlIJFFUG6avJjfHh5JKUTMZan/1y+CCGNqhvPdhynoywPux5NAkADmv3fm5QATFvKFilSDFzOONEUHCWwLmB8qJGS9lNsETs8BkEX4CzFKN9g9G8hXMdpDiH5GdEuEDD+mBxY9cwbg1me1i7grErnzdkwZiCg4GxK/TmZxhzBWO3IOJDgAKuRSSyaICkwHmGYLsDQqaYV1fFwO1vCRa3l/MKwIUncxQ4P3kPASa8cozBiTNIMDBeExkUVVyZ/1KAMXBs59eRgXPt/15HtVMI/GYsAzUQJnA88dtWgnKgBjjXe3JuAc5JXgwYOBhwPoez57Bu78kxCRxtO4MCF6cg++Lhu4AC4xWEI3sm45Unp/6YYEBUS87mOcAAMxq0zQA4hyShn8Xff8RHnfv7qzj6+qxt8yuTSpBdDwzOOrRtj6EfcekVOuGr70a8T7gUwkh1IpGXKep5DiEF2mbAzeUWu6czDL159w89jgmn3bZDs+99PhIpg+pZhqpKoVP1HRJPEnWdAc7h5T/zSLrRs4vsdZdv6OvmagdjHCllM42yTok05B9/YZSSI8815osc+z2pe5p9BzNSFkVRpXdJxo8gWPeE8M8aKfAZ7hmPMMgavKJyBJHFoeDAAlEdE4oMPJkUyJ2je+1hoiDcC6l4wLktnN0SkR6tz0Se09fxOo+Vsb5AAdwvNyg+A9Fj4/fpfhpIfua322fnMR73J2wjrS98fRjWuZhV0Q2jf8EdAeegFYWeMsZi3lHiw2WLlPI7dr7ZSDAG6TMuQ9BuN4yHWWBfLT16oioQQmAM2s/ixvwMRnaIy/UeV+sdlBA4nRWw1iH3qgGtHm71Co1W3TCi981QoVo69aqGoKYwxsZgVuso4yXRkrJhmg67to/EzGgsMq2iGiIMtBhj8dh1vd9nKe/Yaiwc+sGgH0Y0/Rirr411SLeNPz4mHlvnHHY+XBgMVIvtj1N8Bzs6AoOxcWY8hNx2g0GiBLQfzMAPBq235AyG3ne1J50Tf65Srb6ZkvMuHfY1puGj8RLHE9Ts8GMKaI8kEEWi028T+TN6K9xgW0iukfAcOto0cXQe2NEarbcHOv/Pg8qPSKDDOoPiCoBXl40YXY/RdhhsD8mUV1fl8fcAP1HjlxMy0BhYVP9R7puM9jzrDsoq7hWUv2U4KjyRIQWPNjPtrx+ynmkoKWM+JfeEdWgADzlnwtEkojEWu7bH7brBrqGGrqYd/LGjz+DV7Q6/Xq3x9maLItOwjnKOQtv41wQFd4/YNT1uNw3OFiWqIsXzJ2TZS9+jEiIOjAPMxXvbMULhiVYCWapQ5hqzKkWZJ9CKJu+E4Ei0RJlpbPcdHFgMtA5h4cE+t9sTWbFve6x3LX55fQvJGS5vtl7xxDCOlkj9fRd/dzDm6NPxMOg+JFEVCeYVKdxEiBs4ftY7v6+/46uRc4jNgE034HbbesK/wXrXYRiJ9HH353oASM6RaRWDva/Xe1jnUGYJykyjTL0V8pExM5S7lOBsVlKJWdNhs++wA9D2I7JkjDa/LFGxMZIxehftB0PPKD+pEAL0A3FL+H7eQ7+r0RGLt2mG0Vk0gXhq93jdbPByt8ZFXqFUCZ4XM+RSIRUSrRk9M3z0GDlMmJGKCAfiyTmHrqNBQvASc++lfN+FQk11Bm3jg3wFB+eHWSEw+AYfF4kn5xykIs8wYzRQ4pzF6RQuOKSmekaqKTfo2hHjaGj5D9SjC34gjfp+wO31FowzCjVnDCpRcV1jaBXyrHfb9BTqquiBIhXlD1EAOuVDNXv6HWMoNL2s0vgSaIxDkgrkZQKdSHTNgLYd/LGl3JQY3PpNr3GvgsEYiSeSPUuvXuJEVERpN/NkVBg4hLkg7lUsB+LJ2g0cBsAZcJZB8BpSnIKxBIN5hcG8grVrUk3Jv0GKk6hyoja6DYxdgbMOxq5g7K0njCwRJzAw9ta37FGjHQ0oNAVYc8owCgMHUjOV4Ez7v2niPkXr2TfPFWKgAZQn81gCzk+IDEMC4P4Dl3vSSPr2txmke3G4rzvK0ArkjXN7WHsFgHvib0kETySnaB1EcBH5xsD98arg3FMQuUQDO1ouqdb8CkEv3SOcGAA3AEd5YHe2m4UMqQHxumESDCkYF2BsBs4qfLMWwa8BBiSJRFmlmC1yNPueGjQbqtxNEoWyTONl96grjR3NrPxGYpp5mXxZZUgzDSk5hp4KERhnGP454urNgN2GlEvvs8zR6klZWhQJZoscQnK0+x43lxtsty0Grx59H5yloPVm12O/pSbStiFyRWuJakb25SSV+MpO409GkkhglkGnCvUsR5oSsd37HMHLNxtcvdl44mkLITmKKsV8UZC9TctH5fZJJZAXCWYLUgiE62gcLWU9lWl83j7ucrh3DXF85nV09CbpRsAXDTCWwIFeGJ0b/X3AAUzS8wQMDiP9DRxCE6eLBBaVgoR7EVl9b2DNJcjavQDjnO7/boSD8fegcE8xB9KIScDRPZUIIypeoMKEwf/7CFJoBsI/3K/CtnPaRub8MsLfBpvrx1//nKP67X3bY9t0WO87bHbUDFd4EoRzRk1OxqBIKYQ20wr9aLDZt7ha7yE5DY5SJeNL9abpKb8o1UgTSXaBnsigUEnOvUUmTzS0f6/hjGHTdPj1ao1fLtdIlIC1DtoTRiEo9qGLajAG+67Htuljq08/GlQZtRTliYp/O4wGNz4kdzQ2NhkNPqdm3/SeqDHYtQPyRMXtpcYi2t5t22Ozp7ahcNyOm5ysc7F+fN9SKGzT0aBaHimcABrcEfHU4XrdQAqORZWhSOkYCc6P7sn0b6OxaHzD0XrvBzVtT/XwqUamVXxvNtbGGXTrELNNykwDORFR+MyJg8/HuwqhL7XUEIZ+dx0sqoCCookUA/R+4Zwjqx1GdGaP1mzRmi1lkUkGyRLw8LLPjukn5gkrCkM/DroXzoe4M+7XSfllDhLC/52xAwbXobcNOrNDa/fRNkvrPNo3r4iyzviQe1o+EVdUSECWuoTGAW6EdaO/s+EOifU5EJwROa0lMh3auSQSXyEfgpsDUSoEO6huwEgNZBycoPMyGh+Mvd7j7c0WV7c7XN5SG5vwpMmu6X2zV4txzHw2jvSKxa9HPAWlJqmsOtys97CWmsdePJlDe4L3Psj+BBzTk/d/LgURvpkPIZ+XGcoiiYSOEBSKXeYJtA8e7/oxkhMAtcO23eDJJPpa71r8/PoGu6ZD8YomgsFoX0IbISkND4TYx45gON+JJltklihv872/X59ydL8OnKMGwqYbsN61uFrvcLna4XbbYOefCYkKCsG7+y48mVrlKbphxNV6j7erHZZVjpNZjtPakpLe348/Bik4qizx41ag6Qfs2h7dMCLTCnmv0I8JqVQ5i+VgjDE/OTRi31Fr3Wgsel/m4pw7vC99B8c84LsinhQXKFWCkzSH4gKbocN/bW9x3e3RGwMtBHKhUasE8ySFYPTBG72kKYSRc3YY3EjBobXEmCmSzQkGY11UVoW2G+1n8XVovFMCWa5Rz3OEqkqAXqaFJOmbTgxMRsRO0/Ro9x1sKOk6UgClmYJSEmmeIMlUvBkIL0cPL0tgRN7oRKEo02hVC9ka9Tz3tj8JKflBlg7KlkpShSQjW4wQAs4BSapR1Rmcc9Dp0UyV/4eUHFmuKZC8SPz+A0orFFUK7iV/xl/IFD6eUO6THqA0vXiluYbWCsKrrT40IEi4xELneF7M0VuDhEskQmKpc2RSfSZlwu59AYAEZxJguR8gEyHDeQnGM3CWEAnhCSnGtM9JWiLaL5xDtF0xCcEXEHxG6hcf4A02xoByzgpYtH6gIj1ZNffEV+rJGA7OCkjh/Mx1eCXREKwE49ITTJmfIQ+DDOeDyCvadpeAOXp5JbsgZTp9rCnmS4PFqYsw0PlQTfrxC01Qc5H15GATsTiQZzaSS8y3CFJj3IkfzOV+fffP/ac/3N63/rsziBZ0Lno4t/OB8oP/vYzODZ+B8QJ/WJsd6Hymvtzg/OkMl2/WaPZErmzXLVa3e6xud1BKUruY4JFYAnBEVFuYkb6EJCuuTiSOJr/uYPStL2Y0vtCAZm+CwoUfKR4AxMkFIiF8lgg/FDQ8tJ7je1OWacxPSjx9vkCz67Df9bi93uHmcourtxssTtZk7woqUm/L6bsRq5sdbm/2eP3qFtt16++3CmWVYnFSop5nSFP9wVmvu9ZrP/Az9jCp4RDXaa3zExz2ToX0Q/v2EIQUSDMi3UKhRF4kcA7Yrltcvl7h8s0a12+3WN/uMT8pUdUZTs9rlHXmbZIfX4/WFEZ/fjGDg8PQUzPrbtNis2pwc72l3Axv9b57bg/7O4422h51QgMXId/Xlvk4EHlDFl+aVOgR2kyZ6+AYB9mYxyOiWsIx5gmjkfgoJuCCsjEOXhngOBzjvi2TCg04t3AuhXMliADyrZqMSCoisGxUPNGzglS71LTZwN3JhDL+mTAC6L2FKxBf/meMg7mwjeFZE543D1tdj2GtRePtGatdg107YNtQ27AxLtZPh8YeAMi0QpuMRHS0RHYwBqheQAlBJJYnWKwlhVM3SLReFTSMJpI24BzdYGBsBz2IWC1tLSmxmq6HdQrDaOJL9sf3yWHwM8KBUGv7EYIxJF6tFEJaSSFEL/T3nzC0HBNVQgyetOkGjKO3AoE+k/uuj8fCBiX6SIrKMDk6mMN1HgggYx2aro/2xTxR0TLX9iM2+xZakdrhOK/jnsgG/TBi2/S4Xu+jCq3phrgt/RHJfqiEp8nMx5Ys/BER1ErGDfcUHQciIFjaAEQrHYCoWBosEUGt3YGU8RIC8ijr6+7Em3EDettitB2pqfz4RTJNbX+OYbA9BtcBzvrl6KhWCk1+gXyyboTw77qHkHgR9210HYX1++0ZbIfBtURicQ1pqXFytD1G/z6TigIpO9hxgE8n+QMponzeoRQiqqCUoHwlyltC/JyE3JlAgISBNB9J0XGz3uPV5Ro3qz32bR9dJ+Hvj0OTARobHdravrLiCYg2s7YnpbVWAnWZxrHm/eMTtv0hMDD/2RdRHRoIvADu1aRaHUpUgiMnvF9YS5/p3sfKWFJpxON1hxzx/52oQ7axlgKni9LfZx4mUoJdrMg00kRBCfFOkPZ3iaPjQEoyFo/1rEhpckQrT4oS+V5lCU7nxUF91/koHE/gcQZvr+PIUoWZb5ErsgTqXkQAZwyplmAsxWgtNn6CoO2GOGGTaVLkhnMfnlPh/RAAlDjkjx27twZDrYKcMcxyCkpPtERulCe4yaaulaSJCD+h9LXwXRFPuVR4mpX4l/oUFg6rvsX/vvkVnRlRKI1/nZ3ioqhR6xSKC5ppshZ9qBQUAplU0FxE6aVO6aavEom8oOY5Zw8sbnjwmtEiL5Mo/09zjeVZBaXlgXhiOASAMwbnJeF9N+LmaovbK6omrOc5lmcV8iKNL3ehIUppSU0FZYKhN14Ge7Qt/iW7rFNkBQ3gqc2pRprqOACjLKm7AxfmCbOiSiEVbefihEL4HICySv0svKIMKMaQ5glOn8zIQpcR2VSUKbSmkPShzo4GQo5e/FOy842FofBL5yi/w+c6CfnhavdapfhbdQotJEZrqaqScZylJZY6x6cPKEjtw6HgWA7Jl5DiCTgrjn7u/8kAjhSMk+2BQXmVEMBYCsmXfqDhcNBY0giWCKNg5xJQ4hmgHZxrocQzcG+x4kjgwCHECd3QeA0GCcHnEHwOALCsBAVXHw08/ay5c4MnqjQRM0d5T6HJjUGBo4yDER6b4BIw9vmDst8XYZsPyjT6tvTkU0EDMm+bPCiS7hJOX3z9ERbW7eDsmlRq9hrWbgFYcJ54+97cX3d/YOIJdK84v5jRwHA0uLnaYrNu8PrVLf7P//sK+32HepajmmXU1umtdEQUGJ8P12O/IwVlUSZYnlU48ffUYCc+RtcOPmuooybPZsAwjP7eomJZgZA0IzqOlIt3e73F65e3+PWXG1xfbjEai9yHT+vkw62aeZng/OkM7b7Hy5+v0eyvsbrd4/XLW5R1BmcdlS9UKdJMwfisvv22xeuXt3j96havX95ifbuH0gKzRY7FaYnT8xrzZeGPzYdnvALhZP3zZOhJ+WrDfderaY2fhRwHOifHz6JPebdjLBRrcKR+cuXkrIJUAvtdhzevVrh6u8HN1RbNvsfitMJsnuP0SY2qTkkp+wgkqcLyrMQwnMJah+26xdCPuL7c4qd/fwPOGep5jmqeoaozHDe7htzFvh+x35H9G0C8hooqjcUVn04wNzBmxDiu/MSDL2Cwe1j0B6UT/Tbu3gvuDk7p2SDAoABGVepBlURtlxvANXAuRbBFB+KLig4C0R3WE1SjBRgrPYF1DWuvAdeBhbZPJj1JFcjwDgY3R9t4vN0MlHGn/D8lwB7OLzuGtaTEuVrTTHBQlXPGaFa1cf4apBfuYTTYdwPUrkXbU0gwZRGR7c6E69lbYKx1aLoB/UCBtL0nkPI0w7zMkCrpVUC9zw0RSDXZV4P6KFESVZ6gzBJkiXpUrlo4MkT0EoEWZpAZo3amzb5DPxgkWuJ0ViD1A5FUK2ybDomSUWkR6rRJiURkVrAMWnd3n411aDzBZoFImBWpxqLKITjD2xUpOcLgOtgTB2PisobRoOmH2PD3IX6o8/a9X683ROo6B8EpLqHpBvSjudNwJDiHznQciBQ+YDlV6quXxXwrOFh0psHe3KI1W9yZtHrgfSK4MkITImcSo+ujfa23Hdi4hrEDUlkhEyUkdPw7AOhMg914g8Zs4nI5E9A8g3YZGBj2ZoW9WcPYEZpTS5/kKhJfFsZb4wwG22GPNUY3QPEE0rcWNmaLxqyxNytaNs+geOIJph7GDWBHLXhUeNCBQ2KmzyirSghvLvzMRkC8OyXI/P99MFfGX8uBYLbWYbWlEO2fXl7BWoflLMdfLhZI/PuE5JxCoa82eHO9RaLpXvEt8L6PHgvqBvqvz1swCwTeIaj9ow+8Y7vP/e1j3pqnyA73w9MF/v7ihALD34PQTCgEx7zKcL6sSE360Ob6dwvOj0O7v0+QMpby8ygInyFPNbphiDZPJURUheaJ9gouakdcVBmk4Gj7Ef1Iz68i02S18+SSlByCMZxUOSSn311W+TvNeEEkA0jUeYrnp2QbH0YTydpAhKWKxCHBVjcvU5x44isQXffzyEKuIWNAlaeo8oSeZ0qgzDQ6b/MmlRcFmOsHMs2+BL4r4qmQGk/yCr01eLVf49V+g1+bDU7SHGdpibO0wLO8xkxnkEygdwaDG9FbkodqLpFJBcUF3SoFR5IQyZJZF1/siemlkx1mm+C8/U3Ri2yWayglUC+Og0Df/0Dq2gGMU4V31w6oZznOnsxQzYLS5jArzzmLgwxj7iqvwrY4R0ok6U98XpC1bb4s79ywHQAveQoroRcHPzhzEliclihrL8WVAiLI1f3LYpZrSFljtiioYlwKCMXhLG2j84STJZbL2wz50X7QSy4XpAJjjxgIVSrB36oTXOT14VyAQXMJLR7OZngYDMyrZzhyCL6AEhfgfIZ3pv4AeoiyYEs7PBI5S8GEBHchjPXuCzyLgwwKl1biwqujDChnKEEIlWZMg7kUgtdw7jn9PZMIeUfiSN5NOBJz+myLu6GzYWZHgOxkDMGCRz+4b7P7fm/4H8b9bWeg8PQ0Ek9EyIW2vi+t7vrQsbNwdgtjL2HMJZzbwLltJAk5n/vrwZ+jPygYYyiqFOcXc0glcH21BRcc+22HN69uYY3F+naP84sZzi/mqGc5PWAlEU9dO6LrBmzXDW6ud7i92mF5VkbyO9x7OL97jLp2xHrV4OZqi+26wWbdoGsGVLMM1YzaNkM4OWMMfU/FDteXW7x+dYtXv9xgs2rAOUNRUntekn5YnVOUCc4vZuCCo9n3+PXnG6w98SSlQN8OOH1SR7UPESIGq9s9fvr/3uC//v0tri83GEcLpSTqeY7FSYmT8xrzZQkp363OPYa/rUYl0zj6TL7hQPZb/+yKxJMn9ijekHsr3+PJJ8YYmCCrWpYdiCfGGfY+XPzqcoOb6x3GwUSC6PRJ/UlNcmlGzaxaK+x3HV79fI2+H3F9uQEXDLtthycXc5xfzHD2dBavIc45upbObbPrcXu9xc31DowBf+mNV/bSfZSzT7/XkQVuDWN6P1lQgbEc1q3h7ArObYFoxWY4ZCk53LVnB3WS9suglkzrtnB2B+dawBNZzA045DcNcHZP60Ib1U/0bCALMONzcG4AJ2DNrzDjL3CuARenEOIMDMXR/vR+GQ0Oak2fGeWfHYHI4ryCYwkYHs4vO4bxRMrVeo/rzR6ZVn5mlkimdhjA/Qu8lgLDSJlIQMjPGGEdqXMCgRSylFKtYKz1WSQWg894EoIjkRKndYEi03h1tY5Wt1mZRotOsMYlXvFT5kQ8Pdrpz9iRqsL4xy6l7LT9iJtNg34c8exkhtNZgVmRHgZ/oGBizhm0lphXGZ6d1ti3Pdp+wLbt0HRELoWg3exon9vR+LBxG0mgKkuwrDIUWQJjHbZ+Jt0YhxZkfRtGGxVP/WjQ+BiFwXzYStQOnni62SAN1idFFqRA9knJ44x5mVFl98EWSNlZ3A/Q/gxwcOjtHpvhGtvxGuEd7/h5Qd85ZGZRbpLzuUo5Ep77hrsxWvKMG9AaUj8ppsHEXeK6tw224w3Ww1uEFjzJFFJRkqWPMWyGK6yGtxhsi1QUSHiBxK8vETmtB5TTZCypoDqz81lPBazIsTe3WA1vsOrfkoJJlEh4AeMGjH6bKcLBwcL4nKoO0jcOpqKE5hmRFZ/zTnk09rn7cLpLSD20XAefnTsYDDBYbVr8ernGf768RlWk+OFigf/rb09Ql6lXSHK8ulwj9yrj+Br9lfEhHdVvXT0DopIxjq9+41aFgPYqT/DDkzn+7399hr+9OH1w/YFAU1JEReiD2+vJpneUl98hGAOU5JCC7oV5qrCsDtnNDmQXDcRPOAecMaRKQlY56pwUSsEaLn2jXJj8CDbKpeCoC4qtCc2I97cltP1JwZGnGmfz8o7alHty6liddqwKHL01PVwvx4g8BxDtrJxxFO5ocsSP88Pz/EPn+bfiuyKeUiGxTKgqkGSlDr01eJJVuMhrXOQVztIChVQQQVIJBskFFjrDi3KGdhxxkhZIBJ14IRkEjmxp3kMZXtQfGpSEOuxjHDetgBZBv6sEqlmG/a5A39JAKff2hSjaOFrP/W05BKw+sC2+yecx23J/PUmqkAR29T2/IySHkBpp9v7lhPWEf35sWx8DLSS0kKjVhyudHwsGDs5TUpu4AYLPwXkFwUu8j3h6GNLPBgN3iKD493eXwVgBjodq5YON7IF9jIty9/55f3vvE1PHs9gf3Jk/HN53TdHLQwrGa4qB5xXIfkjNcV+SePr4Nc1AA7pgJ7Tg3Gdasdo3CX6Za/p3BQPdM2r6z7MnM1y8WGAYRigl0XUjrt5uqIGpHVGUSVRiOucw9qSEbPYdtpsWu02LJJXofUAvEebvrjbY88aByhxur3ZYr/bYrBvk1wnlOSlPyEdVjMFm1WB1vUPfGyglUc5IQfP0+QLVjLKbHkKSUsMb5xxXb9a4ervGZtVAaYn9rsPrV7foOrKH5WUaVVa7bYurNxtsN2Sxq/09/8WPJ0RSedLrfZ9TmqAgco5y8nqf80cvL2074NXP11jf7tF3pPjhnCYFXv18DSk5Vjc7OuaS+/ZBHScoqPnt4Rym40DvNNeYLWiiZOPJvu26wXZDweyc83iMFssSeZFAPJJ4koojLxJIKXByXuPJszme/+Uknuvb6x0RGMOI3bY9yk9kGHzbbDj2200LpSVa33iEe4+/T8MIuA7ONnAQACe7NdnZ9nBuh7uk9nHz3fH3j9XGDpTrBLLduQZwrbflDaRmRRjo9X49a/p39AhWajo1gv7WkiLC2hWsWwOuB9wsrBEh+4lIpz2c2+NAPIVrPmyjt3yy0Lr5SFWsJ0ZDaUv8/PqZbeZ8eLAnpADE4NrwAlykCtbnBln/cktPM1L6cOrZJjWUXyFlaFCuSVDmjF7ZHtSSsQo7bKpfdlCQP2bf6NwRqWAsWc4aztAPI0ZjolorKLKEcJCcxwlMzsmikCiJPCFSiUg5ItSCksq9Z5+ZYxi8Gsp4y2EYQIQWvUB0hHtjUGKNloKWu34AZ/DB4XcD4Mm6SI1H/WBi5svxcmmQiKC7j6QWZ8zXwR+sPV9zIPJ7YXQDetugMdtDuDc7Dmb3ceKB4PYPr2CfFl4dHyz5wTpnMEQlVHA10F/CW+VatGbnG/AEDA8FMoTW7tDZHQbb+e2hgSJnAtxKOJ8PRaRRWCfiPKSDRWO2aA0tJxBclPE0RMteCCAPhJlFKFQIe/9b4sURmZ93lnGXeXoQzoGs5dah64eYU5YlRBYsZwXmdUbjQc6w2VFTnjV0fdMz8HF7wJhv/TqaVDcmTL5/4O/8/zu4mGsVVDRtP+B20/hg9bs5T4exFRBm4N/d0gMZGiboH4V720vZwJSzJ+Uhe04riSzVqIskEix3s70OhV2BRPzYvfV4W7/nIQpjvuEQgOAOSnJYDYRxFguvbuxgmQ4I8Q8JcCBtvJMqkD/HkB/JxDscV9+WF8rUj7gChGN6j7cIitrjPKfH2+R+n3v6d0U8aSFR6xSSccr8SXP8WC1QqxS1TlCrFKVKkAqvGmEMmguUUuN5MUMiBAZr8TSvkEv9zvLDiT38+2fi3t9ywZAXCZYnJYbRHGaFP7CO4235TXjMIr7A73zPkkkwAc4qSHEOOOOtbXcf5J+54C+xdV9oXZ9CoP2ZQPlJgi/hWIFDe1NQPX3L48HBeQHAgbM8DioBCc7nAN695/xRIXw2Xl4kuHixgDEWs0WB3Yba4rqWlCu317v4kLt/TwsPyNBGFlSRD0mwOWeUJ6ApPLdte6xu9ljf7uNy8J7JAmtJJZQkCvlS4/xijvOnMzx5NsfytPwg8SSVQJ7TS9ezH5YYB4MsT9A2FKa+WTdo9j3e/LqihhMA8C8Z42CQJJRjdPa0xtkTWuf5xQw6oWvzfbfN/a7H9eUG1283uL7a4uZyi5ur7aGRZDR48+oWb16tqOjBNwrudx123uKXl0l8SSaSbY6nzxeYL0uyVFf8HUXZ+5CmCvNlgfNnMwyjwfXlBjfXW5jR121nCnmRoKpJdZak6tGNhJxzSC3AOMPpeY2//9tTaC2xXjXxOtqsG+y2LV7+fINw+bD3XENgQJJRRuFBsfu5gZmBuOekOnUdYBngelDb1DHZdP/v6Pt0DXr1E9OkKOJzyohyDRgT/loxcBgABPIp5Dt5q51vnTtYqylonCx7O2/La7xaShJxxHIwlvqfd6SscqR8ocFMaK8LBJQAKXIrcD5HbAt9zJFilFNCFgQDwVkcMGmf/ZHqQ6D2punw+nqD1zcbVBlViZ/UObSkzwPNqNIAz1gLLYnQEIKqutHQejl/3539oJQIGUjDaGCd83lSvR9MCWguP/hkCC/zh5prIrdCqOww2jhr3XQDfr3eYL3rYihy25M9jcFbS94zvj3Uk7M40DPWenWYijaNrh8p56ofcb3ZY9N0uN02aPshDibCwGXX9nhzS3bi9a5FN4wQnMcw2u2+i41UqZYU4r7vMBgDKQSqPInKiePZ99D8NfrZfrLYsDsKrz8fiOQkpdIICt++SzoRvRxsjKHTjkMwBc1TpKLE6Egp1DF+mKCNa6Dwcn7nvhY7uKOqZ7QAQ+N/Bgy285ZWDg5xILacweg6OG+zY4yBuQO5Y5xBbxuMrkdv97BuBGPHdjkG+OY8IrMA+MlWhwQOzu9XQblS7Pjvfgd4MtkcZciFWnpqyTxcn6SspKDotzdbaE1NcLn4+HtZ+BwHUtuB8ttC0cFHpziYr8xRAnmqMK8oZmWz6/DyzQqzKsO8yt4JGA9EL+CJr6+kJpT+Pl1kBlpSqVU/mjhJsNq2yLyd9thKZ70VmTIlcWgu/ypb+TuDMfA7NDF71Px++F16Zn35EO+P8RaBHDsmpr53fFfEUyIEJE9RqQQnaYHRWZ8BRKHh8ct/OCXj3tsrkAiJJ1npLXcC6oGX7q9xUjjnyIsU3M+EJZl6VA7GH+EC+SOAQYDzCtLXRlPW0Z+HBDjgv+MFw/xAixRGdxUHj5/N+jLgYKyAEKkfsB5UaIeK8j8HSH1CL2IXL5ZkvXs6w88/XeLn/7zCfnuL22siDtp2iHl3nHNvh6NGs8rnQAWyIPj/33fvI6uzgE488dQMWN3u0O4HtE2P3ttOQgBvUIJmuUJZk8rp9EmNH/56ir/8/QyLkxJ5rt9Rrh5DKUmKjUzh4oclWZpPCvz80xV++ekKV283aJoB7b5H3480gBQcqVcB1XMinf76j3P8+I9zLM9KZHkSQ9Tfh/2uw9tfV/iv/7jELz9d4uefrvDyn9d31KVDb9D3I8bRom1oQH0jGF6/vIWQAsLbNxgDTs4q/Nv/fA4z0gCJC4as0P5++GEkmcZsWUQVW9+PuL3a+TxCyv3LyyTaHcP5ewx4aGCVDifnlO11el7jl39e45f/vESz77FZNdhsSGEV8qycczG4PkkVrbvOotRd+Abaz7HZEcLfcQQFUvxnLHuwQJz9P263tP53Q/GAAAMRT5zPiHRyK8ByHCzSlNsH5zP80HmF0hYMGcB83iBLEUosnG08sbT3FjpSVDGWACwDBY/viDRzrbdt42gbDZwj2zcRTwnIare4tz8fOVJedp8nGv1gfFYErYssbknMtCgz7bOcOvz0+gZPFhXOFyVO6gLa27qG0fjsI1L1CG8rSDURRaNXCT2YD+K/H0KD+9GCG4ump3Y65QeOSj7sszlEGpDCTApSUY7GYtv2EIxiD6QQ4Jyj6Ues9x2kYJgVGWZFGkOEg63krkqGIGKIsvADTFI0plr59jsdybLG52Fdr/dwAHYNNRpZvxuB7N23PTqf9US/YyCFiUqQjSedNk2HxBNP632LYbTUnJQnMe/DWItMqBicSwG5PQ29gr1H+AHVn/HVw3lSySt+KErhWO1DsKBg/qA8EYxDMgnNM6SixGAlWr4DYwLM3Ser3YG4iq3K7mi9ALVOeuWbo4Di0XV+CEykE/efV+NGwIYlGL+dx+qHEaMn0HvbwjgTFVvhGmWRfPLEViS3KO9J8wyJKMlyRzrzr3L4H4OgPAr3DAb6LBDpJA5EkZ+06foRm22Ly9styjwB97k9HwU7WMQE53AOZHv3xNOHFE9AGPxT4HOeaczKjNo3dx1+ebOiAqZEor7ngHDeRu+c/4x/noT3o1CCgyUKxpPNAFmh9+2A9bbFakuMv1byTge1C+UDo/HkOikk/4xDkWN10yf/7b0Jsy+Nj6vMvu76vzS+q5ES3QTp35NHKsAYvPeRc2Tv1LYf/d4XeHI+tAzGAKkFUqa9V/7DzW5fc1u+9O9810qnCA4G7bNOHBg0frsF61vt92OVTv89cVAW/P4yf9oWIpjuiXu+CYQUWJ6W+Ou/nCPLE5+xNMPyrCK72xeyQkRlERggSc0Z2k0C6ZOkKlqz2maIQdicU1uaUoIIC08InT2doaozSJ8x9777ipRE6IxViuVphbYZwBiL6qOuvU880TaluUY9y1HPKIeIlE4VyiqFlB9u2OScAVyAO4eySgFHbWzhZ0lK+UTNvkffjX4gRkTVbFFEm9rT5wucnFdEkMgQev3+9UopkGYaVZ1iflKi68YP5rN8DPNlgfmyQF6SvU8+Ilw5gBRbGax1eP6XE3TtQOSfltAJZVY9+2GJavb4bKeAY/l4mmqwOUOake0Klga3m1Ww97Uxy8o5xPZWIp5SVHWG5WmF2bJAkqpHKZ7yIsHTFwv8j//17PB5eTrDbGGQ5j24GPxsvgA1wGWkTnIDAIPYMncnD9DAwYA+HRQozlkNxkuENk/OajhxCmczUIZTR0ojXoNsuRUcX4LDeMIpfGlQ+LeAY3s4m8K5DMyVcLwDName+exCBc5HattyGVgcsVjaPmc8GU6teZwvwHjh//vxQcGCM+SJikGqIctCCE75PxmFruaJQqYVyizBosrxZFHFXKQsoUbhYTRkNfJ2Mmstch/cmmoFySkbwxiLKk9JCcWZz97IMRqLItWxWajMEpzOCjAGVFlyp5r9Q1e/4MxnelDwv5IC2aC8uo7ObGjHtI4Gs+0wgjMWs5Gcg898ooFtnupoT6ty2i6AyCsleRw8G2NQpAmKTCNLNCnGFDX6hWeKtRRCniaK4hJ8m5UUPJ7l0ZByKk8VUq1Q5bT/RaqxrHN0w4hZmdH3pQAS2rdEybgd1jmf4ZTECvRUS1jnUGVEBiqfO/It3wM5kyjkDCf6mW96o2a4Si6Ri9rb274AGIPiKXIxg1XGt8IRAXMgaA72OQYG4ZvjQv6RZAqOO6S8wCh6GH5oB0xECck07k+SkWJKxhY7yTQEU9HqBwCaZ8g8CaV5BsVSSE73BiKhDha747Y2BwvjKPtJ8wyjz3Qim93huIVxk+LaL1vHfVM8RcpzCKZ+9/d/xll8hqeJQubzxpwDbtZ7/McvV/G/AYfXVxs03QDtVXyPqbIH6FlfpBrLWRFJ4jc3W/SjwfU6RV3skKcq2k61OljnjlVKRabxZFnh7y9OfOuYweurDUYf4n+92h/2zRPKIQw69/fTr6Ew5JxBgiNRAvMqw8VZjX6gsobbTYOfXl6jzBOUeXJQZTl4Atq/8yQSRUb3pj+b5um3XOdf8zPypcb53xu+K+LpjwrG6GUGSgA+gPuPeDH8ccFoZteRReGP2+o2YcLDUErg4sUSALD9t9a3VKZR7aP0lyfnGCNCCCkNzNwzRwP6ZwtqnmsHjL7ZMoR5ci/H1pqIgyRVqOoMs0UOpaTPmnn386mURFYgtmKWVYpnLxYYBhPznELgNuAbRgWH0gJpqpCkGkWVoJ7nvjSB+3vx4/ZVa4miSmLI9Wye48WPpxj6kQK/Rxvl8FIS4ZVmGmWV+nUmR6TTw+vJC42zpzMkqcLJeY0f/36Gzbr9nNMDgAoilqclFqclqjpDlulHv3DrRKKsMyKrQCTWP/7HU19QIZBmCk+ezVHNso8u60PggkEn9JJ+clZDaUmkm7+Gum5ACFkPvy+8EiVcQ3mRYLbIkRXJo87rbJ7jX/7HBYoigdKSPitViqKyKCtSihDD6geFziuF7mQ6hVynMHAMPyNCnEEALAXnJaJlji8gmITjPYCBbHAso0ZUXsIxAcYyWHeCQ9OcwnFBhEMPcGrHI8WUoQExr8BYDcYEHFOgQHNvswOOtvsQMs4gwHgBxj69MZZzIpgYY6iyBMaHkXLG/ACM7HbBLlflCX58sqBBVKpxNiuoTlpLuDLzgdah6c36AZyE8r9DAaxEPIXWuNrXUFvrUOWJJ6Q4TmpqgAuNcKVvYVMfef8KgzwKcT1kMR2swQfLgnNE8pC6Cb7OWgFwKDKN+ZBFskkIajta1nlUFYRBWwhwtX6fQ2ZSaC4azcHO4xw8OUTBz1LQIDoUuoTcldHQ71AzEw3IwzlZVDmyRMYGI2MsyjHBYIzfFiJ4tRTxmA2pjiHrqa/u1pJUX99yNl0yhZk6BcsZTs2zmG2U8ByVnEPyL6NmZ+BIRYWZBjJRgTHKtzmQTkGd5KIBh9RDHIol0DyjYHAoZLICZ/KO8lDxBIpnh+wovzzuSaeE5775rkLC86ioAhCDyhHJrkBMHas83R3Sib4TwsItnCegrLPobYPethjs4TnDwKBYikzWSHkRW/okV1A8hfgOhoeCkWqWJxx1kaEqUlR5itEYvHyzQtsN0IrUxZyxqAKc13nMVXrUejhHXaa4OKvBGNANI37+9Qa/vL4lu16qURcpFnWGeZ1jXmUUai5JLRZQ5imen8/AGLDattjsOry92WC9a/DyzS2ROv4zLDhHVaaoigTzKsPJvISSImblfVEwKhNRUuB0UeAfP5whSzVGY3G73uNmvYeSRIBxzr0a0CFNFGZlhlmVYlHnRL4nCnik3X7ChPfh97+z/ElAoajeeDNxHr8DDj74iXSa8GeE0hLPflji/OkMxtqjTAJfQ/+Vaq6lEhCSQycSWZHg7Oks2qKo7RJ3XoDJskCDOO5feDjnMTz6ofujUpTbkGYKZZXhybNFVMCE5tHjNR3W49cVanx9Ngnjn3YfUFrGzKd6kZOKy7hDwCNCfgetN6huKLuKzsVj1pkVCZFOZxWMV35Y8/mKJxaaVwLpxR8fLqkTBaUkijLFfFngr/84J0VZHIQzf15+G6kZrlOlBHSqsDgp48A6hLe+/xo6bEe83v0g/GOoFznyMsFf/nF29++5A+cAF+8rbjjG/UKH932PbCuHLwHOFYAZ3kcC0XOqAPgJhLMH0svv9bHB57AuILK6RzY5Wk74veNt/9A2fhoEZ16do+4FnVKuUVSeeaKmzlPkqcaz01ls4QlfiVaYle7OckIQK2Ms2t+cXy9nPC6zTBMALjbqwgEnswLz0rdusVDh/fEZ4JBplCXqTpsPw+FaC2fDAdH+CRztL6P8k5DBFMKNU8Wha0HbFc8KWQMf3Gd/fuPZvqd+jJ+FsD0hjDj8PNxnGYPLHJZVDuN8wxE7fFaO72POL4jxo78NVl8gHsePqce+BiSTmKszVHIZiZxAynAICPaFlL1gyESJhOdwyh599y7ukjshaPiQkySZghA1El7eXX60tt393HEmILmGFjlKuUAlT5DL2XvXfLiCPnQW7n/2j7ea/n89XGI9XKK3TfweA/eKrxq5nEfFE2ciUGwfWOe3AVXXk9Ko6QZUXpVzdbvDq7cr/PTymlRRfrIr8xbWRZ1Ha/9jIMWBeLLW4j9eXuOfv95gvWuhFBGwy1mOZ+czPD+fYzQH6+qxGL/KEzx/Mse8yvHvP1964omUU4OfPAsfXyUFnpxWeHpS4+KshhQCdZF+FeIp3NukFDhdlBCcY1am+I9frvCfL6/x5moTGzZD5pQDUBcpXjyZ4/mTOZgnncLPJ0z4XEzE0xdAfNFhE+Xxe+Dwojkd/Ql/XnBOqhEKrv42uN9i+dhg6c9aFz96Tf/GT6ZjWxgEHpWP9LkIAZ3fA8hqSDqbT7XSfQqOjy8XIHXwV0Zopk0/KNZyeJeoOf4Z8O5z5f73j38eSJ7j37v/++L9i31n+fcW+862ic/cxscjkCqC40BMuPCzw+8ExLYf9e5y4lE5Ws77lnEfUrB3nNYODsoTWsDRXj5i1o97T51zDgIH8ieQLPebgSE+vM939xPgELjP035sn49Jn4f25zG/8zE85hz+3mCMQzIO+YHojC+zHkbWtQ8QWfcVRfFv733mGfDB5cTlOUCxBJmowSGQiRqJyKF4crS0u2s6/O377yd3z937tzcRBXI3gNRyFhaUl1TIGRJRQPEE3B8LfmTF/VTaMdUKi5oIGimEt3AqlBnZyJJE4mRe4MeLJao8xZOTGnmmICXHcpbjr89OsG06XJzWZBPVEkrRpEqeKpwvK/z9RY9FnaPtB3T9AIDFiZ/M29WCSjNMXixnOdL7N6UjhCyo5Sz3+WcUG7Dddz7rjJSXZ8sS8ypDkWlo9a6lXR6pKc+WJdqeWg37gYinYTSROJZC4GSe+2a+HHmmYxkBEfUSdZni+ZMZ2m5AnmmcLYp32iWF/90yT3C2KDGOBkoKPD+foSqSO9vIGYg8qjIwRu2dzpF60/i4BOuzS50DyjzB+bLCySxHlZMl9z6ZlyYKJ/MCf7lYRDVplmrUZfpOmPqECcBEPE2YMGHChAkT/tviIXLmoUHXpw7Sv+ag/ktt4yes8Qst+kss50tsyrHC6eHf+QIresRyHrOaL7PPX2AhEz4LiqcoMEPCMyie+RyoT8GnnzzNUkDMoFiC0KjHQBlX2tvq3heQ/6nIU4WzRYlUUw4fqR0FWXI15ZRdnNXIEol9O+B0UUT77JNlDcE5umHEosqx8HY56YskskTh6WmFRAs03YDRWIy+fZX5ZknlraPHFjvGgKpIUXwgZJxzhiylTCslJYpM4+lpjX4Yoyow0RKFL1HIMyJX7pMwglOzHecM58sKWkmcLgpq5TPON+T5dTKGPCOLbJ75fCUtojIpEGZwp5hXGZSUeHJSQd+LVFAikF1UOlIVKS7OZqQIrfI7v8v8MSq8HZ9zhlmVYd/0Xvl5THBSc2mZJygyyqXLM/2Osr7INC7OZshSDcFZbMqkY/R1yeMJf0ww91tSTSdMmDBhwoQJE/6Q+BKvPw8N1h5a9scGd4/5u0/d7t/ONDz0qvipapn3LedLLONTl/OYZXyrff5W2/Kl9ue/Cx6nePqE5UXV2kFlGayUh2XfXdP9v31nWx6heDpYme9a8O7mWb27AZ+6nyGDMVhXw/8dKwltsFcj2E7JUhuURvDfD4TP8Z6F9rpoF33nWPj13dvsYCd9yHoXVI/Rjhpy6O7b60MG3JG9+CFVYlhGiCOg79+1kx9byZlf/p3j6a1v1lIDJ+c85trd2XavogrEUSh64b6d8p3tC5bbsJ9Hx/LdbWR3rbf39tnGZYRjRSci/N7XCEuf8MfGRDxNmDBhwoQJEyZMmDBhwoQJEyZM+Cr4PoImJkyYMGHChAkTJkyYMGHChAkTJvzpMBFPEyZMmDBhwoQJEyZMmDBhwoQJE74KJuJpwoQJEyZMmDBhwoQJEyZMmDBhwlfBRDxNmDBhwoQJEyZMmDBhwoQJEyZM+CqYiKcJEyZMmDBhwoQJEyZMmDBhwoQJXwUT8TRhwoQJEyZMmDBhwoQJEyZMmDDhq2AiniZMmDBhwoQJEyZMmDBhwoQJEyZ8FUzE04QJEyZMmDBhwoQJEyZMmDBhwoSvgol4mjBhwoQJEyZMmDBhwoQJEyZMmPBVMBFPEyZMmDBhwoQJEyZMmDBhwoQJE74KJuJpwoQJEyZMmDBhwoQJEyZMmDBhwlfBRDxNmDBhwoQJEyZMmDBhwoQJEyZM+CqYiKcJEyZMmDBhwoQJEyZMmDBhwoQJXwX/P00nPfwDwHwQAAAAAElFTkSuQmCC\n", + "image/png": 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", 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" ] @@ -411,7 +411,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.0" + "version": "3.11.4" }, "title": "Object Oriented Design Quality Metrics for Java with Neo4j" }, diff --git a/results/AxonFramework-4.7.5/wordcloud/Wordcloud.md b/results/AxonFramework-4.7.5/wordcloud/Wordcloud.md index 8be6ea927..055cee95e 100644 --- a/results/AxonFramework-4.7.5/wordcloud/Wordcloud.md +++ b/results/AxonFramework-4.7.5/wordcloud/Wordcloud.md @@ -1,4 +1,4 @@ -# Overview of Java Artifacts with Neo4j +# Wordcloud
### References @@ -33,75 +33,75 @@ 2 - eventsourcing + commandhandling 3 - conflictresolution + callbacks 4 - eventstore + distributed 5 - inmemory + commandfilter 6 - jdbc + gateway 7 - statements + common 8 - jpa + annotation 9 - legacyjpa + caching 10 - snapshotting + digest 11 - org + io 12 - axonframework + jdbc 13 - modelling + jpa 14 - command + legacyjpa 15 - inspection + lock 16 - legacyjpa + property 17 - saga + stream 18 - metamodel + transaction 19 - repository + deadline diff --git a/results/AxonFramework-4.7.5/wordcloud/Wordcloud.pdf b/results/AxonFramework-4.7.5/wordcloud/Wordcloud.pdf index e10a136492d73177560c06dc90357ded1f398820..7e01e04a872665c8255b2635a4d0bd7e7f5c9137 100644 GIT binary patch literal 677939 zcmdR!V{j&6v-j`Vw(r>3*tuhCW81dPjcspi+qUhE&CN!e}r9gMBv`T3beoz09~9h`wQqL$7Mc2;h7 zwD8PI&JLz-CT9N@Rcx$`nE&|#?YO@EyYb(~Ru1-JMy_T+8Zlm07FISEZWh*WtQ;)t zT=Xm~)c=lucJdCU|F?;tAiSBq>3>3C{oha|tZZHXZOSZR`|t5$W+o1%X7J2%X7(1Y zmOxf+b{0WFpo{CjaP8ndb9S^R?2pFLde$`VZ2PaK$BA%pX(~ztw@~*{EaS&mI+3Pd zzQFp%V-vN+zkg?jY12l>N^R)TWKBAfp*jwT9$d@UxVMmM_WksJ{V2-S#`?5si)Iz*l`0-^?#b740oZCoM zmwpXXEQc8xLRiHX9jAw^qNz}_jX$89V$P%lxn|R{#WDqUtlH(lhC_2ZPdvi_lfrfl z`!qa~(q`k~J(@sUwmB1ntFl|TGlR=|tm>12W-`gwTtK|cD=?3vwUJVoW& zT_T3|cK*f!G1IwHU^epGG12A{QusOlWpLgapOOaItxIM6^XllD3xquUX9VCcU~e)m~MHeO5@L z&|ONpsVW0ma!o-_5b}Iv%iK%jny2Y=s1Ve0pgAPvI$EkR1o^1Y6w~jp;jA;_WAK^b zvib0Af}EW!A<_i;aJ0m+F;)rJA0j`VUMnHh&#HONrgW!OThl!$eNfrB+>icVK8}>x zB6g3g$n08Wf1UIZ(mselE(LppLz@Y{s#%#8YsrzrJ`VbpYT0oh#j#>Bz0v@UwCnY| zka(!X3A%4lHFiyt|1e_LG8|=Sp|RzQ#L>8f5*{(*G{o6G#bJ{oYm9gmrpHds;*6~H zV^%&6qRsDjQ=hY1`eM<0K*1~zl7k>?#<3kk)T_tAY=XdA*6BskMcn9NI2#1xIGB2M z#o&LNk*RgIXQ{4alxh|ma48pCd5BXqJ8BpEM@XtlMJO*P0d!UMP-4qxu?MsV^O?Uo z*9=>$b`855s^IpPjRbucw*`pxnMm@mM9VxkSEdl!&iPrJR1m`R)9ca=&fe0GkM}ey z$4Wx)2)@USU8Dyv^r0TR;k##{+7`&PDW>L2_=_=&jsw!%?mOJ3z$5CUag!p|(T~4mi(4sox#T<;iqk-2q zo`EOlA#8mdF_$cFz^m<8QP@3H4hmQ)A}xEm%Tgy7oBttz?dkv=miCEm!` zl`^Uu89!{hgu=kWCykvgXtZo%8b1{l6{-IW`Lnz*warT_vuwyzxnMnCOgBpjq)Ht< zHQQH3qS^eob8`1dG}d+BLV?$F=fe!!VIQ++UIfeT`4dvbX|OrCCESo{l{mk_;03vX zO#nYGK**^xCArRM+d8t8=K05QOPor~0;_^NC6eOuB+}GYJ-Qm}=EvU~P$X};;}2)F z`l!JRFh^FAT9^c`IyF*JjjMsFD0#NI8gjF29TyKo7xFOQ*h6jm;z@tiNv*%5ZI8!W zf~%KG=UH_+Axc`v%W2WojJGanT`IP@AGaqpbttW&? zlTDKO(mioLc`T{dEk#bIo2%UQmq@XqzT0eSk>@-DG*=sa zTB|l<-1AjdjxB4sfD(-|K;7Csz@_em5vXIaeo$)7ZMJ7Pxy>aNmfbthywy9PIw*lJ zehNg?y=qPE4IWKrcSSA@rlnZm%@`eo$w-|uA1-ubakD2XSc#+)YL5FmkcLihna2Np zBF!wDM~Bni+`)^UXq(kHL_}32LT*{EeMvwJHzy|f(&(@LPKcu^{mzh4j!QiMZ5opi zxxdOKCfBpJTLB6B@`jZz!cc-S;s^H(eh$q%{Pj#i%?b@* zJ$u-q!YE^eR{$@pTgtbV=JJ9f`hyhcCQ2|Cv#0zMq719iEN_-NpuPtfw7>8}$d9*A zIaE$DBVmH+(eo3-p>XO<^jCM{;wBZNg)y{n*<6RdYzi7?PlgYk#)Mhu z$bPnjE6zP}g#HJPiF0E5j+#p`<#7d!g)`Xp8Ns;Wqyb4*Vva!WDc*p9_)jF}{h z#j^$K^Gvs5)ggfj(FSTS&d=GKe1C-2 zglrBuT``;tC8?*9zUgp_bTUS5TtqF#%+Pw4-Q`R4sS{MX?)&_nQ4qkqjbGH@qf32v z-06#F%flrb+-iKUHiT;ur`6POaN#G05m?M3pI;q=Uco(wUqPIY`^k4yep}Q+?lYED zR+e3mNs(mPh0w6)$Oc-cVFQuGgTbG*iu)g~!@XI#R+-hewT^fCVXMw(AD8;8zLF4h z|NIMoYu;~bv{Qas4F4v9wTE<^eIcrnt+PSj${Cn;QTxXiv1yIyWb!^>$?qbK-9d~` z*|%5zXG4@eLG6dYc-}3co1CMY%-RLF_d?rFm(#LB*ehdX&>`lbgU5|E6&%a;I{2m8 zFTJ^@&QJuuRzp$h^`i)C!oJaa6ILH85=AA+&xVRtTbNBkKAac0Kpe!nnxYPO_i;Xj zZRz9&pI-7gXt1)GzaM9BFbKD`6s({GtT*M-zt{v9DAbddGOYhu=lV^D&*(XHs5raV*K6|6NrkSHR+@F zGu@gv2eS&*9`EN8R$N2w!C>^IR^nSSn%N_Nm!;^ImOROy9?%Z^%PN)p;Mx;X^?R_i z0yRNqXkstxQKUSr%hB|8B5=|{JSEE7*?sgj_uGwQ+3q>jyUyCvYpD>o7s+wi{^lKQ z1ks5p*-Df;b8!x`dCOw)<>85=ZxPRJh9D6~yq84wErAiT)vNlkYPkcz-x?s7!Y)&{FiI&GorV5!t4FpQ_oLBaqZOw$H4$Uo5|SYv;E&H=DqrT1H@0SOTzOl;8xD= zoQsFsok7>sdxMp$c5?tZ%~#}Jt?_i(gLDe6%0rK%U~>Nu z^|R9chUaTT(y!nS(z0vu;hQSe#O>i=r9E;F)!D&+!T*3n¨Xvo>HN;2Xt_%h3-- z&q3D6j~X|RYs=Vlg%>w%*?KgQtzva?nZr?Kb%7{a!reyJE*s24+KmlB2$^4k;KW@f zrJj6Hg*jNppn!`uK5bA6fm%_XGE3yxKu0T$fZ~vIz!Pdc9#nH&*pR<^myOoLAcS#X=W)Uk_7bP=iQ3pFm2YWMnS0Fb$ z^Zy0#99-Ni?A-q^!e8~kq!UTHpT1VOTX@XoWp3=?Srw;BEXHhGnrnZrs@WuPS7D#A z=giKt#h(X+N`gVD?D`nY`P}wAGxvDaHGf5xd(#wvP|LwV%_+~rUa5F^PKOevrsjX? zwuQc$NW*cBBmX}+@nbbUzdo2{yUP`}KBH{kS~J~{$Db>FL{|X%bROEH{ch(U9nnAD zz2EYyjvTSy*pK|cg}m@^|AbNPB!-D9$2})?E2bRky)7O;MjeE@T_w_V=;#F0tz8bC zd*6Z)fvb33MC~LbPu(6In*ZmeJk&eC_;_ouolJ3FXEe4^Kl#MwqG-AOBp5=d1))Jhdv>yYh7xTfg1^?(a6&U|8j2R7k

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g`rsy>3(5tRd^OicJEp;K|E7g4IY86`?E#{2*CKL~hH>*`r(IzgIjEfo z_Q8H5b4bU^i%r1~m3+SFqdKdsZ?F7?l;0c1Z&HD^mT3%DWtJoiYI6qWpv zBkcD`l(4}#=)}s82u)#aD_$qbxjXSP)+pY}ZC=EU6FFVOs^5!)#LSOQ6gJ$`ie8F1? zU%cNkd-UU~kgjJdr(iOcCLS=Uin!CIS4L<)$W#jns2=4{r3KDkw__YMYvrSl$-n?X z>nN{URt7ubMefIEcpMjKp)`s;aQPl%J{(;|Ng zI6_7Osfnrr=#4+m-*FBqV6?8@vc zuP*u47vl}+a|Uj9=bz^v;b*TjK-GrNSKaOXKDQyRmWCXn>{K{d?$;J^w4kTML;p3U zp8e+tJk!4BzJ3w$?7v<3zhm?4eoufzm+aqfbmKkSdi&43{9m_BVgHZzb3Ro3+rv?~ z)|g~xBLAA-|D&DF8XJ~^|8eC%o(ZM^Oz6M=X;ghgoPXYbtdsx#)~WIT=gvRMz2uO+ UNAC?LMgcw=Dmuz_iZ&7d2bI&as{jB1 diff --git a/results/CSV_REPORTS.md b/results/CSV_REPORTS.md index 1dec4157e..f503498b9 100644 --- a/results/CSV_REPORTS.md +++ b/results/CSV_REPORTS.md @@ -4,74 +4,75 @@ This document serves as a reference for all CSV Cypher query reports in the curr | CSV File | Analysis | Number of Rows | Source Query | | -------- | -------- | -------------- | ------------ | -| [ClassesPerPackageUsageAcrossArtifacts.csv](./AxonFramework-4.7.5/internal-dependencies-csv/ClassesPerPackageUsageAcrossArtifacts.csv) | AxonFramework-4.7.5 | 220 | [How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher](./../cypher/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher) | -| [ArtifactPackageUsage.csv](./AxonFramework-4.7.5/internal-dependencies-csv/ArtifactPackageUsage.csv) | AxonFramework-4.7.5 | 18 | [How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher](./../cypher/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher) | -| [CyclicDependencies.csv](./AxonFramework-4.7.5/internal-dependencies-csv/CyclicDependencies.csv) | AxonFramework-4.7.5 | 23 | [Cyclic_Dependencies_as_List.cypher](./../cypher/Cyclic_Dependencies_as_List.cypher) | -| [CyclicDependenciesUnwinded.csv](./AxonFramework-4.7.5/internal-dependencies-csv/CyclicDependenciesUnwinded.csv) | AxonFramework-4.7.5 | 362 | [Cyclic_Dependencies_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies_as_unwinded_List.cypher) | -| [InterfaceSegregationCandidates.csv](./AxonFramework-4.7.5/internal-dependencies-csv/InterfaceSegregationCandidates.csv) | AxonFramework-4.7.5 | 381 | [Candidates_for_Interface_Segregation.cypher](./../cypher/Candidates_for_Interface_Segregation.cypher) | -| [WidelyUsedTypes.csv](./AxonFramework-4.7.5/internal-dependencies-csv/WidelyUsedTypes.csv) | AxonFramework-4.7.5 | 476 | [List_types_that_are_used_by_many_different_packages.cypher](./../cypher/List_types_that_are_used_by_many_different_packages.cypher) | -| [Centrality_Cost_Effective_Lazy_Forward.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv) | AxonFramework-4.7.5 | 6 | [Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher](./../cypher/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher) | -| [Centrality_Betweeness.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Betweeness.csv) | AxonFramework-4.7.5 | 90 | [Centrality_5c_Betweeness_Stream.cypher](./../cypher/Centrality_5c_Betweeness_Stream.cypher) | -| [Centrality_Page_Rank.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Page_Rank.csv) | AxonFramework-4.7.5 | 90 | [Centrality_3c_Page_Rank_Stream.cypher](./../cypher/Centrality_3c_Page_Rank_Stream.cypher) | -| [Centrality_Closeness.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Closeness.csv) | AxonFramework-4.7.5 | 90 | [Centrality_8b_Closeness_Stream.cypher](./../cypher/Centrality_8b_Closeness_Stream.cypher) | -| [Centrality_Article_Rank.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Article_Rank.csv) | AxonFramework-4.7.5 | 90 | [Centrality_4c_Article_Rank_Stream.cypher](./../cypher/Centrality_4c_Article_Rank_Stream.cypher) | -| [Centrality_Harmonic.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Harmonic.csv) | AxonFramework-4.7.5 | 90 | [Centrality_7a_Harmonic_Closeness_Stream.cypher](./../cypher/Centrality_7a_Harmonic_Closeness_Stream.cypher) | -| [Similarity_Jaccard.csv](./AxonFramework-4.7.5/similarity-csv/Similarity_Jaccard.csv) | AxonFramework-4.7.5 | 887 | [Similarity_4_Stream.cypher](./../cypher/Similarity_4_Stream.cypher) | -| [MainSequenceAbstractnessInstabilityDistance.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/MainSequenceAbstractnessInstabilityDistance.csv) | AxonFramework-4.7.5 | 91 | [Calculate_distance_between_abstractness_and_instability.cypher](./../cypher/Calculate_distance_between_abstractness_and_instability.cypher) | -| [OutgoingPackageDependencies.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/OutgoingPackageDependencies.csv) | AxonFramework-4.7.5 | 105 | [Set_Outgoing_Package_Dependencies.cypher](./../cypher/Set_Outgoing_Package_Dependencies.cypher) | -| [Instability.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/Instability.csv) | AxonFramework-4.7.5 | 86 | [Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher](./../cypher/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher) | -| [IncomingPackageDependencies.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/IncomingPackageDependencies.csv) | AxonFramework-4.7.5 | 105 | [Set_Incoming_Package_Dependencies.cypher](./../cypher/Set_Incoming_Package_Dependencies.cypher) | -| [Abstractness.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/Abstractness.csv) | AxonFramework-4.7.5 | 91 | [Calculate_and_set_Abstractness_including_Counts.cypher](./../cypher/Calculate_and_set_Abstractness_including_Counts.cypher) | -| [External_package_usage_per_type_distribution.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type_distribution.csv) | AxonFramework-4.7.5 | 18 | [External_package_usage_per_type_distribution.cypher](./../cypher/External_package_usage_per_type_distribution.cypher) | -| [Maven_POM_dependencies.csv](./AxonFramework-4.7.5/external-dependencies-csv/Maven_POM_dependencies.csv) | AxonFramework-4.7.5 | 110 | [Maven_POMs_and_their_declared_dependencies.cypher](./../cypher/Maven_POMs_and_their_declared_dependencies.cypher) | -| [External_package_usage_per_type.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type.csv) | AxonFramework-4.7.5 | 469 | [External_package_usage_per_type.cypher](./../cypher/External_package_usage_per_type.cypher) | -| [External_package_usage_per_artifact_and_package.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact_and_package.csv) | AxonFramework-4.7.5 | 125 | [External_package_usage_per_artifact_and_package.cypher](./../cypher/External_package_usage_per_artifact_and_package.cypher) | -| [External_package_usage_overall.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_overall.csv) | AxonFramework-4.7.5 | 50 | [External_package_usage_overall.cypher](./../cypher/External_package_usage_overall.cypher) | -| [External_package_usage_per_artifact.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact.csv) | AxonFramework-4.7.5 | 67 | [External_package_usage_per_artifact.cypher](./../cypher/External_package_usage_per_artifact.cypher) | -| [Effective_lines_of_method_code_per_type.csv](./AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_type.csv) | AxonFramework-4.7.5 | 927 | [Effective_lines_of_method_code_per_type.cypher](./../cypher/Effective_lines_of_method_code_per_type.cypher) | -| [Number_of_packages_per_artifact.csv](./AxonFramework-4.7.5/overview-csv/Number_of_packages_per_artifact.csv) | AxonFramework-4.7.5 | 7 | [Number_of_packages_per_artifact.cypher](./../cypher/Number_of_packages_per_artifact.cypher) | -| [Effective_lines_of_method_code_per_package.csv](./AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_package.csv) | AxonFramework-4.7.5 | 91 | [Effective_lines_of_method_code_per_package.cypher](./../cypher/Effective_lines_of_method_code_per_package.cypher) | -| [Number_of_types_per_artifact.csv](./AxonFramework-4.7.5/overview-csv/Number_of_types_per_artifact.csv) | AxonFramework-4.7.5 | 20 | [Number_of_types_per_artifact.cypher](./../cypher/Number_of_types_per_artifact.cypher) | -| [Cyclomatic_Method_Complexity.csv](./AxonFramework-4.7.5/overview-csv/Cyclomatic_Method_Complexity.csv) | AxonFramework-4.7.5 | 66 | [Cyclomatic_Method_Complexity_Distribution.cypher](./../cypher/Cyclomatic_Method_Complexity_Distribution.cypher) | -| [Effective_Method_Line_Count.csv](./AxonFramework-4.7.5/overview-csv/Effective_Method_Line_Count.csv) | AxonFramework-4.7.5 | 149 | [Effective_Method_Line_Count_Distribution.cypher](./../cypher/Effective_Method_Line_Count_Distribution.cypher) | -| [Leiden_Communities_That_Span_Multiple_Artifacts.csv](./AxonFramework-4.7.5/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv) | AxonFramework-4.7.5 | 8 | [Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher](./../cypher/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher) | -| [Louvain_Communities.csv](./AxonFramework-4.7.5/community-csv/Louvain_Communities.csv) | AxonFramework-4.7.5 | 13 | [Community_Detection_4_Louvain_Stream.cypher](./../cypher/Community_Detection_4_Louvain_Stream.cypher) | -| [Leiden_Communities.csv](./AxonFramework-4.7.5/community-csv/Leiden_Communities.csv) | AxonFramework-4.7.5 | 11 | [Community_Detection_4_Leiden_Stream.cypher](./../cypher/Community_Detection_4_Leiden_Stream.cypher) | -| [RelativeVisibilityPerArtifact.csv](./AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv) | AxonFramework-4.7.5 | 7 | [Global_relative_visibility_statistics_for_types.cypher](./../cypher/Global_relative_visibility_statistics_for_types.cypher) | -| [RelativeVisibilityPerPackage.csv](./AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerPackage.csv) | AxonFramework-4.7.5 | 91 | [Relative_visibility_public_types_to_all_types_per_package.cypher](./../cypher/Relative_visibility_public_types_to_all_types_per_package.cypher) | -| [ClassesPerPackageUsageAcrossArtifacts.csv](./AxonFramework-4.8.0/internal-dependencies-csv/ClassesPerPackageUsageAcrossArtifacts.csv) | AxonFramework-4.8.0 | 221 | [Package_Usage/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher](./../cypher/Package_Usage/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher) | -| [ArtifactPackageUsage.csv](./AxonFramework-4.8.0/internal-dependencies-csv/ArtifactPackageUsage.csv) | AxonFramework-4.8.0 | 18 | [Package_Usage/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher](./../cypher/Package_Usage/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher) | -| [CyclicDependencies.csv](./AxonFramework-4.8.0/internal-dependencies-csv/CyclicDependencies.csv) | AxonFramework-4.8.0 | 23 | [Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher) | -| [CyclicDependenciesUnwinded.csv](./AxonFramework-4.8.0/internal-dependencies-csv/CyclicDependenciesUnwinded.csv) | AxonFramework-4.8.0 | 362 | [Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher) | -| [InterfaceSegregationCandidates.csv](./AxonFramework-4.8.0/internal-dependencies-csv/InterfaceSegregationCandidates.csv) | AxonFramework-4.8.0 | 219 | [Candidates_for_Interface_Segregation.cypher](./../cypher/Candidates_for_Interface_Segregation.cypher) | -| [CyclicArtifactDependenciesUnwinded.csv](./AxonFramework-4.8.0/internal-dependencies-csv/CyclicArtifactDependenciesUnwinded.csv) | AxonFramework-4.8.0 | 1 | [Cyclic_Dependencies/Cyclic_Dependencies_between_Artrifacts_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_between_Artrifacts_as_unwinded_List.cypher) | -| [WidelyUsedTypes.csv](./AxonFramework-4.8.0/internal-dependencies-csv/WidelyUsedTypes.csv) | AxonFramework-4.8.0 | 480 | [Package_Usage/List_types_that_are_used_by_many_different_packages.cypher](./../cypher/Package_Usage/List_types_that_are_used_by_many_different_packages.cypher) | -| [Centrality_Cost_Effective_Lazy_Forward.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv) | AxonFramework-4.8.0 | 6 | [Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher](./../cypher/Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher) | -| [Centrality_Betweeness.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Betweeness.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_5c_Betweeness_Stream.cypher](./../cypher/Centrality/Centrality_5c_Betweeness_Stream.cypher) | -| [Centrality_Page_Rank.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Page_Rank.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_3c_Page_Rank_Stream.cypher](./../cypher/Centrality/Centrality_3c_Page_Rank_Stream.cypher) | -| [Centrality_Closeness.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Closeness.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_8b_Closeness_Stream.cypher](./../cypher/Centrality/Centrality_8b_Closeness_Stream.cypher) | -| [Centrality_Article_Rank.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Article_Rank.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_4c_Article_Rank_Stream.cypher](./../cypher/Centrality/Centrality_4c_Article_Rank_Stream.cypher) | -| [Centrality_Harmonic.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Harmonic.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher](./../cypher/Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher) | -| [Similarity_Jaccard.csv](./AxonFramework-4.8.0/similarity-csv/Similarity_Jaccard.csv) | AxonFramework-4.8.0 | 927 | [Similarity/Similarity_4_Stream.cypher](./../cypher/Similarity/Similarity_4_Stream.cypher) | -| [MainSequenceAbstractnessInstabilityDistance.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/MainSequenceAbstractnessInstabilityDistance.csv) | AxonFramework-4.8.0 | 94 | [Metrics/Calculate_distance_between_abstractness_and_instability.cypher](./../cypher/Metrics/Calculate_distance_between_abstractness_and_instability.cypher) | -| [OutgoingPackageDependencies.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/OutgoingPackageDependencies.csv) | AxonFramework-4.8.0 | 108 | [Metrics/Set_Outgoing_Package_Dependencies.cypher](./../cypher/Metrics/Set_Outgoing_Package_Dependencies.cypher) | -| [Instability.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/Instability.csv) | AxonFramework-4.8.0 | 90 | [Metrics/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher](./../cypher/Metrics/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher) | -| [IncomingPackageDependencies.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/IncomingPackageDependencies.csv) | AxonFramework-4.8.0 | 108 | [Metrics/Set_Incoming_Package_Dependencies.cypher](./../cypher/Metrics/Set_Incoming_Package_Dependencies.cypher) | -| [Abstractness.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/Abstractness.csv) | AxonFramework-4.8.0 | 94 | [Metrics/Calculate_and_set_Abstractness_including_Counts.cypher](./../cypher/Metrics/Calculate_and_set_Abstractness_including_Counts.cypher) | -| [External_package_usage_per_type_distribution.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_type_distribution.csv) | AxonFramework-4.8.0 | 10 | [External_Dependencies/External_package_usage_per_type_distribution.cypher](./../cypher/External_Dependencies/External_package_usage_per_type_distribution.cypher) | -| [Maven_POM_dependencies.csv](./AxonFramework-4.8.0/external-dependencies-csv/Maven_POM_dependencies.csv) | AxonFramework-4.8.0 | 115 | [External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher](./../cypher/External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher) | -| [External_package_usage_per_type.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_type.csv) | AxonFramework-4.8.0 | 490 | [External_Dependencies/External_package_usage_per_type.cypher](./../cypher/External_Dependencies/External_package_usage_per_type.cypher) | -| [External_package_usage_per_artifact_and_package.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_artifact_and_package.csv) | AxonFramework-4.8.0 | 141 | [External_Dependencies/External_package_usage_per_artifact_and_package.cypher](./../cypher/External_Dependencies/External_package_usage_per_artifact_and_package.cypher) | -| [External_package_usage_overall.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_overall.csv) | AxonFramework-4.8.0 | 58 | [External_Dependencies/External_package_usage_overall.cypher](./../cypher/External_Dependencies/External_package_usage_overall.cypher) | -| [External_package_usage_per_artifact.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_artifact.csv) | AxonFramework-4.8.0 | 75 | [External_Dependencies/External_package_usage_per_artifact.cypher](./../cypher/External_Dependencies/External_package_usage_per_artifact.cypher) | -| [Effective_lines_of_method_code_per_type.csv](./AxonFramework-4.8.0/overview-csv/Effective_lines_of_method_code_per_type.csv) | AxonFramework-4.8.0 | 960 | [Overview/Effective_lines_of_method_code_per_type.cypher](./../cypher/Overview/Effective_lines_of_method_code_per_type.cypher) | -| [Number_of_packages_per_artifact.csv](./AxonFramework-4.8.0/overview-csv/Number_of_packages_per_artifact.csv) | AxonFramework-4.8.0 | 7 | [Overview/Number_of_packages_per_artifact.cypher](./../cypher/Overview/Number_of_packages_per_artifact.cypher) | -| [Effective_lines_of_method_code_per_package.csv](./AxonFramework-4.8.0/overview-csv/Effective_lines_of_method_code_per_package.csv) | AxonFramework-4.8.0 | 94 | [Overview/Effective_lines_of_method_code_per_package.cypher](./../cypher/Overview/Effective_lines_of_method_code_per_package.cypher) | -| [Number_of_types_per_artifact.csv](./AxonFramework-4.8.0/overview-csv/Number_of_types_per_artifact.csv) | AxonFramework-4.8.0 | 20 | [Overview/Number_of_types_per_artifact.cypher](./../cypher/Overview/Number_of_types_per_artifact.cypher) | -| [Cyclomatic_Method_Complexity.csv](./AxonFramework-4.8.0/overview-csv/Cyclomatic_Method_Complexity.csv) | AxonFramework-4.8.0 | 65 | [Overview/Cyclomatic_Method_Complexity_Distribution.cypher](./../cypher/Overview/Cyclomatic_Method_Complexity_Distribution.cypher) | -| [Effective_Method_Line_Count.csv](./AxonFramework-4.8.0/overview-csv/Effective_Method_Line_Count.csv) | AxonFramework-4.8.0 | 152 | [Overview/Effective_Method_Line_Count_Distribution.cypher](./../cypher/Overview/Effective_Method_Line_Count_Distribution.cypher) | -| [Leiden_Communities_That_Span_Multiple_Artifacts.csv](./AxonFramework-4.8.0/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv) | AxonFramework-4.8.0 | 9 | [Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher](./../cypher/Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher) | -| [Louvain_Communities.csv](./AxonFramework-4.8.0/community-csv/Louvain_Communities.csv) | AxonFramework-4.8.0 | 14 | [Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher](./../cypher/Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher) | -| [Leiden_Communities.csv](./AxonFramework-4.8.0/community-csv/Leiden_Communities.csv) | AxonFramework-4.8.0 | 13 | [Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher](./../cypher/Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher) | -| [RelativeVisibilityPerArtifact.csv](./AxonFramework-4.8.0/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv) | AxonFramework-4.8.0 | 7 | [Visibility/Global_relative_visibility_statistics_for_types.cypher](./../cypher/Visibility/Global_relative_visibility_statistics_for_types.cypher) | -| [RelativeVisibilityPerPackage.csv](./AxonFramework-4.8.0/visibility-metrics-csv/RelativeVisibilityPerPackage.csv) | AxonFramework-4.8.0 | 94 | [Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher](./../cypher/Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher) | +| [External_package_usage_per_type_distribution.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_type_distribution.csv) | AxonFramework-4.8.0 | 10 | [External_Dependencies/External_package_usage_per_type_distribution.cypher](./../cypher/External_Dependencies/External_package_usage_per_type_distribution.cypher) | +| [External_package_usage_per_type.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_type.csv) | AxonFramework-4.8.0 | 490 | [External_Dependencies/External_package_usage_per_type.cypher](./../cypher/External_Dependencies/External_package_usage_per_type.cypher) | +| [External_package_usage_per_artifact.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_artifact.csv) | AxonFramework-4.8.0 | 75 | [External_Dependencies/External_package_usage_per_artifact.cypher](./../cypher/External_Dependencies/External_package_usage_per_artifact.cypher) | +| [External_package_usage_per_artifact_and_package.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_per_artifact_and_package.csv) | AxonFramework-4.8.0 | 141 | [External_Dependencies/External_package_usage_per_artifact_and_package.cypher](./../cypher/External_Dependencies/External_package_usage_per_artifact_and_package.cypher) | +| [Maven_POM_dependencies.csv](./AxonFramework-4.8.0/external-dependencies-csv/Maven_POM_dependencies.csv) | AxonFramework-4.8.0 | 115 | [External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher](./../cypher/External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher) | +| [External_package_usage_overall.csv](./AxonFramework-4.8.0/external-dependencies-csv/External_package_usage_overall.csv) | AxonFramework-4.8.0 | 58 | [External_Dependencies/External_package_usage_overall.cypher](./../cypher/External_Dependencies/External_package_usage_overall.cypher) | +| [Similarity_Jaccard.csv](./AxonFramework-4.8.0/similarity-csv/Similarity_Jaccard.csv) | AxonFramework-4.8.0 | 927 | [Similarity/Similarity_4_Stream.cypher](./../cypher/Similarity/Similarity_4_Stream.cypher) | +| [MainSequenceAbstractnessInstabilityDistance.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/MainSequenceAbstractnessInstabilityDistance.csv) | AxonFramework-4.8.0 | 94 | [Metrics/Calculate_distance_between_abstractness_and_instability.cypher](./../cypher/Metrics/Calculate_distance_between_abstractness_and_instability.cypher) | +| [OutgoingPackageDependencies.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/OutgoingPackageDependencies.csv) | AxonFramework-4.8.0 | 108 | [Metrics/Set_Outgoing_Package_Dependencies.cypher](./../cypher/Metrics/Set_Outgoing_Package_Dependencies.cypher) | +| [Abstractness.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/Abstractness.csv) | AxonFramework-4.8.0 | 94 | [Metrics/Calculate_and_set_Abstractness_including_Counts.cypher](./../cypher/Metrics/Calculate_and_set_Abstractness_including_Counts.cypher) | +| [IncomingPackageDependencies.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/IncomingPackageDependencies.csv) | AxonFramework-4.8.0 | 108 | [Metrics/Set_Incoming_Package_Dependencies.cypher](./../cypher/Metrics/Set_Incoming_Package_Dependencies.cypher) | +| [Instability.csv](./AxonFramework-4.8.0/object-oriented-design-metrics-csv/Instability.csv) | AxonFramework-4.8.0 | 90 | [Metrics/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher](./../cypher/Metrics/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher) | +| [Number_of_packages_per_artifact.csv](./AxonFramework-4.8.0/overview-csv/Number_of_packages_per_artifact.csv) | AxonFramework-4.8.0 | 7 | [Overview/Number_of_packages_per_artifact.cypher](./../cypher/Overview/Number_of_packages_per_artifact.cypher) | +| [Effective_lines_of_method_code_per_package.csv](./AxonFramework-4.8.0/overview-csv/Effective_lines_of_method_code_per_package.csv) | AxonFramework-4.8.0 | 94 | [Overview/Effective_lines_of_method_code_per_package.cypher](./../cypher/Overview/Effective_lines_of_method_code_per_package.cypher) | +| [Effective_Method_Line_Count.csv](./AxonFramework-4.8.0/overview-csv/Effective_Method_Line_Count.csv) | AxonFramework-4.8.0 | 152 | [Overview/Effective_Method_Line_Count_Distribution.cypher](./../cypher/Overview/Effective_Method_Line_Count_Distribution.cypher) | +| [Number_of_types_per_artifact.csv](./AxonFramework-4.8.0/overview-csv/Number_of_types_per_artifact.csv) | AxonFramework-4.8.0 | 20 | [Overview/Number_of_types_per_artifact.cypher](./../cypher/Overview/Number_of_types_per_artifact.cypher) | +| [Effective_lines_of_method_code_per_type.csv](./AxonFramework-4.8.0/overview-csv/Effective_lines_of_method_code_per_type.csv) | AxonFramework-4.8.0 | 960 | [Overview/Effective_lines_of_method_code_per_type.cypher](./../cypher/Overview/Effective_lines_of_method_code_per_type.cypher) | +| [Cyclomatic_Method_Complexity.csv](./AxonFramework-4.8.0/overview-csv/Cyclomatic_Method_Complexity.csv) | AxonFramework-4.8.0 | 65 | [Overview/Cyclomatic_Method_Complexity_Distribution.cypher](./../cypher/Overview/Cyclomatic_Method_Complexity_Distribution.cypher) | +| [Leiden_Communities_That_Span_Multiple_Artifacts.csv](./AxonFramework-4.8.0/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv) | AxonFramework-4.8.0 | 9 | [Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher](./../cypher/Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher) | +| [Leiden_Communities.csv](./AxonFramework-4.8.0/community-csv/Leiden_Communities.csv) | AxonFramework-4.8.0 | 13 | [Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher](./../cypher/Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher) | +| [Louvain_Communities.csv](./AxonFramework-4.8.0/community-csv/Louvain_Communities.csv) | AxonFramework-4.8.0 | 14 | [Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher](./../cypher/Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher) | +| [RelativeVisibilityPerArtifact.csv](./AxonFramework-4.8.0/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv) | AxonFramework-4.8.0 | 7 | [Visibility/Global_relative_visibility_statistics_for_types.cypher](./../cypher/Visibility/Global_relative_visibility_statistics_for_types.cypher) | +| [RelativeVisibilityPerPackage.csv](./AxonFramework-4.8.0/visibility-metrics-csv/RelativeVisibilityPerPackage.csv) | AxonFramework-4.8.0 | 94 | [Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher](./../cypher/Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher) | +| [WidelyUsedTypes.csv](./AxonFramework-4.8.0/internal-dependencies-csv/WidelyUsedTypes.csv) | AxonFramework-4.8.0 | 480 | [Package_Usage/List_types_that_are_used_by_many_different_packages.cypher](./../cypher/Package_Usage/List_types_that_are_used_by_many_different_packages.cypher) | +| [CyclicDependencies.csv](./AxonFramework-4.8.0/internal-dependencies-csv/CyclicDependencies.csv) | AxonFramework-4.8.0 | 23 | [Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher) | +| [CyclicArtifactDependenciesUnwinded.csv](./AxonFramework-4.8.0/internal-dependencies-csv/CyclicArtifactDependenciesUnwinded.csv) | AxonFramework-4.8.0 | 1 | [Cyclic_Dependencies/Cyclic_Dependencies_between_Artrifacts_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_between_Artrifacts_as_unwinded_List.cypher) | +| [CyclicDependenciesUnwinded.csv](./AxonFramework-4.8.0/internal-dependencies-csv/CyclicDependenciesUnwinded.csv) | AxonFramework-4.8.0 | 362 | [Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher) | +| [ClassesPerPackageUsageAcrossArtifacts.csv](./AxonFramework-4.8.0/internal-dependencies-csv/ClassesPerPackageUsageAcrossArtifacts.csv) | AxonFramework-4.8.0 | 221 | [Package_Usage/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher](./../cypher/Package_Usage/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher) | +| [InterfaceSegregationCandidates.csv](./AxonFramework-4.8.0/internal-dependencies-csv/InterfaceSegregationCandidates.csv) | AxonFramework-4.8.0 | 219 | [Candidates_for_Interface_Segregation.cypher](./../cypher/Candidates_for_Interface_Segregation.cypher) | +| [ArtifactPackageUsage.csv](./AxonFramework-4.8.0/internal-dependencies-csv/ArtifactPackageUsage.csv) | AxonFramework-4.8.0 | 18 | [Package_Usage/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher](./../cypher/Package_Usage/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher) | +| [Centrality_Cost_Effective_Lazy_Forward.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv) | AxonFramework-4.8.0 | 6 | [Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher](./../cypher/Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher) | +| [Centrality_Harmonic.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Harmonic.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher](./../cypher/Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher) | +| [Centrality_Article_Rank.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Article_Rank.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_4c_Article_Rank_Stream.cypher](./../cypher/Centrality/Centrality_4c_Article_Rank_Stream.cypher) | +| [Centrality_Betweeness.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Betweeness.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_5c_Betweeness_Stream.cypher](./../cypher/Centrality/Centrality_5c_Betweeness_Stream.cypher) | +| [Centrality_Closeness.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Closeness.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_8b_Closeness_Stream.cypher](./../cypher/Centrality/Centrality_8b_Closeness_Stream.cypher) | +| [Centrality_Page_Rank.csv](./AxonFramework-4.8.0/centrality-csv/Centrality_Page_Rank.csv) | AxonFramework-4.8.0 | 94 | [Centrality/Centrality_3c_Page_Rank_Stream.cypher](./../cypher/Centrality/Centrality_3c_Page_Rank_Stream.cypher) | +| [External_package_usage_per_type_distribution.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type_distribution.csv) | AxonFramework-4.7.5 | 10 | [External_Dependencies/External_package_usage_per_type_distribution.cypher](./../cypher/External_Dependencies/External_package_usage_per_type_distribution.cypher) | +| [External_package_usage_per_type.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_type.csv) | AxonFramework-4.7.5 | 469 | [External_Dependencies/External_package_usage_per_type.cypher](./../cypher/External_Dependencies/External_package_usage_per_type.cypher) | +| [External_package_usage_per_artifact.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact.csv) | AxonFramework-4.7.5 | 67 | [External_Dependencies/External_package_usage_per_artifact.cypher](./../cypher/External_Dependencies/External_package_usage_per_artifact.cypher) | +| [External_package_usage_per_artifact_and_package.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_per_artifact_and_package.csv) | AxonFramework-4.7.5 | 125 | [External_Dependencies/External_package_usage_per_artifact_and_package.cypher](./../cypher/External_Dependencies/External_package_usage_per_artifact_and_package.cypher) | +| [Maven_POM_dependencies.csv](./AxonFramework-4.7.5/external-dependencies-csv/Maven_POM_dependencies.csv) | AxonFramework-4.7.5 | 110 | [External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher](./../cypher/External_Dependencies/Maven_POMs_and_their_declared_dependencies.cypher) | +| [External_package_usage_overall.csv](./AxonFramework-4.7.5/external-dependencies-csv/External_package_usage_overall.csv) | AxonFramework-4.7.5 | 50 | [External_Dependencies/External_package_usage_overall.cypher](./../cypher/External_Dependencies/External_package_usage_overall.cypher) | +| [Similarity_Jaccard.csv](./AxonFramework-4.7.5/similarity-csv/Similarity_Jaccard.csv) | AxonFramework-4.7.5 | 888 | [Similarity/Similarity_4_Stream.cypher](./../cypher/Similarity/Similarity_4_Stream.cypher) | +| [MainSequenceAbstractnessInstabilityDistance.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/MainSequenceAbstractnessInstabilityDistance.csv) | AxonFramework-4.7.5 | 91 | [Metrics/Calculate_distance_between_abstractness_and_instability.cypher](./../cypher/Metrics/Calculate_distance_between_abstractness_and_instability.cypher) | +| [OutgoingPackageDependencies.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/OutgoingPackageDependencies.csv) | AxonFramework-4.7.5 | 105 | [Metrics/Set_Outgoing_Package_Dependencies.cypher](./../cypher/Metrics/Set_Outgoing_Package_Dependencies.cypher) | +| [Abstractness.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/Abstractness.csv) | AxonFramework-4.7.5 | 91 | [Metrics/Calculate_and_set_Abstractness_including_Counts.cypher](./../cypher/Metrics/Calculate_and_set_Abstractness_including_Counts.cypher) | +| [IncomingPackageDependencies.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/IncomingPackageDependencies.csv) | AxonFramework-4.7.5 | 105 | [Metrics/Set_Incoming_Package_Dependencies.cypher](./../cypher/Metrics/Set_Incoming_Package_Dependencies.cypher) | +| [Instability.csv](./AxonFramework-4.7.5/object-oriented-design-metrics-csv/Instability.csv) | AxonFramework-4.7.5 | 86 | [Metrics/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher](./../cypher/Metrics/Calculate_and_set_Instability_outgoing_incoming_Dependencies.cypher) | +| [Number_of_packages_per_artifact.csv](./AxonFramework-4.7.5/overview-csv/Number_of_packages_per_artifact.csv) | AxonFramework-4.7.5 | 7 | [Overview/Number_of_packages_per_artifact.cypher](./../cypher/Overview/Number_of_packages_per_artifact.cypher) | +| [Effective_lines_of_method_code_per_package.csv](./AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_package.csv) | AxonFramework-4.7.5 | 91 | [Overview/Effective_lines_of_method_code_per_package.cypher](./../cypher/Overview/Effective_lines_of_method_code_per_package.cypher) | +| [Effective_Method_Line_Count.csv](./AxonFramework-4.7.5/overview-csv/Effective_Method_Line_Count.csv) | AxonFramework-4.7.5 | 149 | [Overview/Effective_Method_Line_Count_Distribution.cypher](./../cypher/Overview/Effective_Method_Line_Count_Distribution.cypher) | +| [Number_of_types_per_artifact.csv](./AxonFramework-4.7.5/overview-csv/Number_of_types_per_artifact.csv) | AxonFramework-4.7.5 | 20 | [Overview/Number_of_types_per_artifact.cypher](./../cypher/Overview/Number_of_types_per_artifact.cypher) | +| [Effective_lines_of_method_code_per_type.csv](./AxonFramework-4.7.5/overview-csv/Effective_lines_of_method_code_per_type.csv) | AxonFramework-4.7.5 | 927 | [Overview/Effective_lines_of_method_code_per_type.cypher](./../cypher/Overview/Effective_lines_of_method_code_per_type.cypher) | +| [Cyclomatic_Method_Complexity.csv](./AxonFramework-4.7.5/overview-csv/Cyclomatic_Method_Complexity.csv) | AxonFramework-4.7.5 | 66 | [Overview/Cyclomatic_Method_Complexity_Distribution.cypher](./../cypher/Overview/Cyclomatic_Method_Complexity_Distribution.cypher) | +| [Leiden_Communities_That_Span_Multiple_Artifacts.csv](./AxonFramework-4.7.5/community-csv/Leiden_Communities_That_Span_Multiple_Artifacts.csv) | AxonFramework-4.7.5 | 8 | [Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher](./../cypher/Community_Detection_Leiden/Which_package_community_spans_several_artifacts_and_how_are_the_packages_distributed.cypher) | +| [Leiden_Communities.csv](./AxonFramework-4.7.5/community-csv/Leiden_Communities.csv) | AxonFramework-4.7.5 | 14 | [Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher](./../cypher/Community_Detection_Leiden/Community_Detection_4_Leiden_Stream.cypher) | +| [Louvain_Communities.csv](./AxonFramework-4.7.5/community-csv/Louvain_Communities.csv) | AxonFramework-4.7.5 | 13 | [Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher](./../cypher/Community_Detection_Louvain/Community_Detection_4_Louvain_Stream.cypher) | +| [RelativeVisibilityPerArtifact.csv](./AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerArtifact.csv) | AxonFramework-4.7.5 | 7 | [Visibility/Global_relative_visibility_statistics_for_types.cypher](./../cypher/Visibility/Global_relative_visibility_statistics_for_types.cypher) | +| [RelativeVisibilityPerPackage.csv](./AxonFramework-4.7.5/visibility-metrics-csv/RelativeVisibilityPerPackage.csv) | AxonFramework-4.7.5 | 91 | [Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher](./../cypher/Visibility/Relative_visibility_public_types_to_all_types_per_package.cypher) | +| [WidelyUsedTypes.csv](./AxonFramework-4.7.5/internal-dependencies-csv/WidelyUsedTypes.csv) | AxonFramework-4.7.5 | 476 | [Package_Usage/List_types_that_are_used_by_many_different_packages.cypher](./../cypher/Package_Usage/List_types_that_are_used_by_many_different_packages.cypher) | +| [CyclicDependencies.csv](./AxonFramework-4.7.5/internal-dependencies-csv/CyclicDependencies.csv) | AxonFramework-4.7.5 | 23 | [Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_as_List.cypher) | +| [CyclicArtifactDependenciesUnwinded.csv](./AxonFramework-4.7.5/internal-dependencies-csv/CyclicArtifactDependenciesUnwinded.csv) | AxonFramework-4.7.5 | 1 | [Cyclic_Dependencies/Cyclic_Dependencies_between_Artrifacts_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_between_Artrifacts_as_unwinded_List.cypher) | +| [CyclicDependenciesUnwinded.csv](./AxonFramework-4.7.5/internal-dependencies-csv/CyclicDependenciesUnwinded.csv) | AxonFramework-4.7.5 | 362 | [Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher](./../cypher/Cyclic_Dependencies/Cyclic_Dependencies_as_unwinded_List.cypher) | +| [ClassesPerPackageUsageAcrossArtifacts.csv](./AxonFramework-4.7.5/internal-dependencies-csv/ClassesPerPackageUsageAcrossArtifacts.csv) | AxonFramework-4.7.5 | 220 | [Package_Usage/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher](./../cypher/Package_Usage/How_many_classes_compared_to_all_existing_in_the_same_package_are_used_by_dependent_packages_across_different_artifacts.cypher) | +| [InterfaceSegregationCandidates.csv](./AxonFramework-4.7.5/internal-dependencies-csv/InterfaceSegregationCandidates.csv) | AxonFramework-4.7.5 | 211 | [Candidates_for_Interface_Segregation.cypher](./../cypher/Candidates_for_Interface_Segregation.cypher) | +| [ArtifactPackageUsage.csv](./AxonFramework-4.7.5/internal-dependencies-csv/ArtifactPackageUsage.csv) | AxonFramework-4.7.5 | 18 | [Package_Usage/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher](./../cypher/Package_Usage/How_many_packages_compared_to_all_existing_are_used_by_dependent_artifacts.cypher) | +| [Centrality_Cost_Effective_Lazy_Forward.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Cost_Effective_Lazy_Forward.csv) | AxonFramework-4.7.5 | 6 | [Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher](./../cypher/Centrality/Centrality_6c_Cost_effective_Lazy_Forward_CELF_Stream.cypher) | +| [Centrality_Harmonic.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Harmonic.csv) | AxonFramework-4.7.5 | 90 | [Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher](./../cypher/Centrality/Centrality_7a_Harmonic_Closeness_Stream.cypher) | +| [Centrality_Article_Rank.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Article_Rank.csv) | AxonFramework-4.7.5 | 90 | [Centrality/Centrality_4c_Article_Rank_Stream.cypher](./../cypher/Centrality/Centrality_4c_Article_Rank_Stream.cypher) | +| [Centrality_Betweeness.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Betweeness.csv) | AxonFramework-4.7.5 | 90 | [Centrality/Centrality_5c_Betweeness_Stream.cypher](./../cypher/Centrality/Centrality_5c_Betweeness_Stream.cypher) | +| [Centrality_Closeness.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Closeness.csv) | AxonFramework-4.7.5 | 90 | [Centrality/Centrality_8b_Closeness_Stream.cypher](./../cypher/Centrality/Centrality_8b_Closeness_Stream.cypher) | +| [Centrality_Page_Rank.csv](./AxonFramework-4.7.5/centrality-csv/Centrality_Page_Rank.csv) | AxonFramework-4.7.5 | 90 | [Centrality/Centrality_3c_Page_Rank_Stream.cypher](./../cypher/Centrality/Centrality_3c_Page_Rank_Stream.cypher) | diff --git a/results/JUPYTER_REPORTS.md b/results/JUPYTER_REPORTS.md index d41b0b44e..96802d885 100644 --- a/results/JUPYTER_REPORTS.md +++ b/results/JUPYTER_REPORTS.md @@ -6,12 +6,12 @@ This file was generated with the script [generateMarkdownReference.sh](./../scri Report | Analysis | Description -------|----------|------------ -| [ExternalDependencies.md](./AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md) | AxonFramework-4.7.5 | External Dependencies of Java Artifacts with Neo4j | -| [InternalDependencies.md](./AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md) | AxonFramework-4.7.5 | Package Dependencies for Java with Neo4j | -| [ObjectOrientedDesignMetrics.md](./AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md) | AxonFramework-4.7.5 | Object Oriented Design Quality Metrics for Java with Neo4j | -| [Overview.md](./AxonFramework-4.7.5/overview/Overview.md) | AxonFramework-4.7.5 | Overview of Java Artifacts with Neo4j | -| [VisibilityMetrics.md](./AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md) | AxonFramework-4.7.5 | Visibility Metrics for Java with Neo4j | -| [Wordcloud.md](./AxonFramework-4.7.5/wordcloud/Wordcloud.md) | AxonFramework-4.7.5 | Overview of Java Artifacts with Neo4j | +| [ExternalDependencies.md](./AxonFramework-4.7.5/external-dependencies/ExternalDependencies.md) | AxonFramework-4.7.5 | External Dependencies | +| [InternalDependencies.md](./AxonFramework-4.7.5/internal-dependencies/InternalDependencies.md) | AxonFramework-4.7.5 | Internal Dependencies | +| [ObjectOrientedDesignMetrics.md](./AxonFramework-4.7.5/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md) | AxonFramework-4.7.5 | Object Oriented Design Quality Metrics | +| [Overview.md](./AxonFramework-4.7.5/overview/Overview.md) | AxonFramework-4.7.5 | Overview | +| [VisibilityMetrics.md](./AxonFramework-4.7.5/visibility-metrics/VisibilityMetrics.md) | AxonFramework-4.7.5 | Visibility Metrics | +| [Wordcloud.md](./AxonFramework-4.7.5/wordcloud/Wordcloud.md) | AxonFramework-4.7.5 | Wordcloud | | [ExternalDependencies.md](./AxonFramework-4.8.0/external-dependencies/ExternalDependencies.md) | AxonFramework-4.8.0 | External Dependencies | | [InternalDependencies.md](./AxonFramework-4.8.0/internal-dependencies/InternalDependencies.md) | AxonFramework-4.8.0 | Internal Dependencies | | [ObjectOrientedDesignMetrics.md](./AxonFramework-4.8.0/object-oriented-design-metrics/ObjectOrientedDesignMetrics.md) | AxonFramework-4.8.0 | Object Oriented Design Quality Metrics | @@ -19,4 +19,3 @@ Report | Analysis | Description | [VisibilityMetrics.md](./AxonFramework-4.8.0/visibility-metrics/VisibilityMetrics.md) | AxonFramework-4.8.0 | Visibility Metrics | | [Wordcloud.md](./AxonFramework-4.8.0/wordcloud/Wordcloud.md) | AxonFramework-4.8.0 | Wordcloud | | [CSV_REPORTS.md](./CSV_REPORTS.md) | | CSV Cypher Query Reports Reference | -| [REPORTS.md](./REPORTS.md) | | Markdown Reports Reference | From cb16ba20ee1354ff3f95db2b7a31fb8aadee81e3 Mon Sep 17 00:00:00 2001 From: JohT Date: Wed, 2 Aug 2023 15:31:48 +0200 Subject: [PATCH 3/5] Clear environment variable reference prior gen --- .../documentation/appendEnvironmentVariables.sh | 14 ++++++++++++-- .../generateEnvironmentVariablesReference.sh | 5 ++++- 2 files changed, 16 insertions(+), 3 deletions(-) diff --git a/scripts/documentation/appendEnvironmentVariables.sh b/scripts/documentation/appendEnvironmentVariables.sh index 3a8f7230d..5e85c60db 100755 --- a/scripts/documentation/appendEnvironmentVariables.sh +++ b/scripts/documentation/appendEnvironmentVariables.sh @@ -2,22 +2,32 @@ # Extracts the environment variable declarations including default values from a script file and appends it to a markdown file as table columns. +# Note: If called with "clear" instead of a filename then the generated markdown reference documentation file is deleted. +# This is helpful to start over with the generation of a new document. + # Markdown file name markdownFile="ENVIRONMENT_VARIABLES.md" +# If the first command line option is "clear" (instead of a filename) then delete the markdown file. +if [[ "$1" == "clear" ]] ; then + echo "findEnvironmentVariables: Clear existing ${markdownFile}..." + rm -f "${markdownFile}" || echo "findEnvironmentVariables: Error: Failed to remove ${markdownFile}." || exit 1 + return 0 +fi + # Get the file to search for environment variables from the first (and only) command line option filePath="$1" # Check if the given file exists if [ -z "${filePath}" ] ; then echo "findEnvironmentVariables: Please provide a file name." - exit 0 + exit 1 fi # Check if the given file exists if [ ! -f "./${filePath}" ] ; then echo "findEnvironmentVariables: File ${filePath} doesn't exist." - exit 0 + exit 1 fi # Create the markdown file if it doesn't exist with the header of the table diff --git a/scripts/documentation/generateEnvironmentVariablesReference.sh b/scripts/documentation/generateEnvironmentVariablesReference.sh index 9b1e116f7..2657c76ce 100755 --- a/scripts/documentation/generateEnvironmentVariablesReference.sh +++ b/scripts/documentation/generateEnvironmentVariablesReference.sh @@ -11,8 +11,11 @@ DOCUMENTATION_SCRIPTS_DIR=${DOCUMENTATION_SCRIPTS_DIR:-$( CDPATH=. cd -- "$(dirname -- "${BASH_SOURCE[0]}")" && pwd -P )} # Repository directory containing the documentation generation scripts echo "generateEnvironmentVariablesReference: DOCUMENTATION_SCRIPTS_DIR=${DOCUMENTATION_SCRIPTS_DIR}" +# Clear existing markdown document +source "${DOCUMENTATION_SCRIPTS_DIR}/appendEnvironmentVariables.sh" "clear" || exit 1 + # Loop through all script files in the current directory find . -type f -name "*.sh" | sort | while read -r scriptFile; do echo "generateEnvironmentVariablesReference: Searching for environment variables in ${scriptFile}" - source "${DOCUMENTATION_SCRIPTS_DIR}/appendEnvironmentVariables.sh" "${scriptFile}" + source "${DOCUMENTATION_SCRIPTS_DIR}/appendEnvironmentVariables.sh" "${scriptFile}" || exit 1 done \ No newline at end of file From 111969de144b643aada5ea416510a35a73ebc20b Mon Sep 17 00:00:00 2001 From: JohT Date: Wed, 2 Aug 2023 15:34:12 +0200 Subject: [PATCH 4/5] Rename environment variable reference script --- .../environment-variables-reference-documentation.yml | 2 +- COMMANDS.md | 4 ++-- scripts/ENVIRONMENT_VARIABLES.md | 2 +- scripts/SCRIPTS.md | 2 +- scripts/documentation/appendEnvironmentVariables.sh | 2 +- ...esReference.sh => generateEnvironmentVariableReference.sh} | 0 6 files changed, 6 insertions(+), 6 deletions(-) rename scripts/documentation/{generateEnvironmentVariablesReference.sh => generateEnvironmentVariableReference.sh} (100%) diff --git a/.github/workflows/environment-variables-reference-documentation.yml b/.github/workflows/environment-variables-reference-documentation.yml index d4bc8d844..1f79de73b 100644 --- a/.github/workflows/environment-variables-reference-documentation.yml +++ b/.github/workflows/environment-variables-reference-documentation.yml @@ -30,7 +30,7 @@ jobs: - name: Generate environment variables reference document working-directory: scripts run: | - ./documentation/generateEnvironmentVariablesReference.sh + ./documentation/generateEnvironmentVariableReference.sh - name: Archive generated environment variables reference document uses: actions/upload-artifact@v3 diff --git a/COMMANDS.md b/COMMANDS.md index 04eb6b572..6ee9b9af7 100644 --- a/COMMANDS.md +++ b/COMMANDS.md @@ -142,10 +142,10 @@ which is included in the pipeline [code-structure-analysis.yml](.github/workflow ### Generate Environment Variable Reference -Change into the [scripts](./scripts/) directory e.g. with `cd scripts` and then execute the script [generateEnvironmentVariablesReference.sh](./scripts/documentation/generateEnvironmentVariablesReference.sh) with the following command: +Change into the [scripts](./scripts/) directory e.g. with `cd scripts` and then execute the script [generateEnvironmentVariableReference.sh](./scripts/documentation/generateEnvironmentVariableReference.sh) with the following command: ```script -./documentation/generateEnvironmentVariablesReference.sh +./documentation/generateEnvironmentVariableReference.sh ``` ## Manual Setup diff --git a/scripts/ENVIRONMENT_VARIABLES.md b/scripts/ENVIRONMENT_VARIABLES.md index 8ef8be7c4..3713eea48 100644 --- a/scripts/ENVIRONMENT_VARIABLES.md +++ b/scripts/ENVIRONMENT_VARIABLES.md @@ -2,7 +2,7 @@ This document serves as a reference for all environment variables that are supported by the script files. It provides a table listing each environment variable, its default value and its corresponding description provided as a inline comment. -This file was generated with the script [appendEnvironmentVariables.sh](./appendEnvironmentVariables.sh) and [generateEnvironmentVariablesReference.sh](./generateEnvironmentVariablesReference.sh). +This file was generated with the script [appendEnvironmentVariables.sh](./appendEnvironmentVariables.sh) and [generateEnvironmentVariableReference.sh](./generateEnvironmentVariableReference.sh). | Environment Variable Name | Default | Description | | ----------------------------------- | ----------------------------------- | ------------------------------------------------------ | diff --git a/scripts/SCRIPTS.md b/scripts/SCRIPTS.md index d7d68fb1d..99ff64143 100644 --- a/scripts/SCRIPTS.md +++ b/scripts/SCRIPTS.md @@ -12,7 +12,7 @@ Script | Directory | Description | [appendEnvironmentVariables.sh](./documentation/appendEnvironmentVariables.sh) | documentation | Extracts the environment variable declarations including default values from a script file and appends it to a markdown file as table columns. | | [generateCsvReportReference.sh](./documentation/generateCsvReportReference.sh) | documentation | Generates "CSV_REPORTS.md" containing a reference to all CSV cypher query reports in this directory and its subdirectories. | | [generateCypherReference.sh](./documentation/generateCypherReference.sh) | documentation | Generates "CYPHER.md" containing a reference to all Cypher files in this directory and its subdirectories. | -| [generateEnvironmentVariablesReference.sh](./documentation/generateEnvironmentVariablesReference.sh) | documentation | Runs "appendEnvironmentVariable.sh" for every script file in the current directory and its sub directories. | +| [generateEnvironmentVariableReference.sh](./documentation/generateEnvironmentVariableReference.sh) | documentation | Runs "appendEnvironmentVariable.sh" for every script file in the current directory and its sub directories. | | [generateJupyterReportsReference.sh](./documentation/generateJupyterReportsReference.sh) | documentation | Generates "JUPYTER_REPORTS.md" containing a reference to all Jupyter Notebook Markdown reports in this directory and its subdirectories. | | [generateScriptReference.sh](./documentation/generateScriptReference.sh) | documentation | Generates "SCRIPTS.md" containing a reference to all scripts in this directory and its subdirectories. | | [download.sh](./download.sh) | | Downloads a file into the directory of the environment variable SHARED_DOWNLOADS_DIRECTORY (or default "../downloads"). | diff --git a/scripts/documentation/appendEnvironmentVariables.sh b/scripts/documentation/appendEnvironmentVariables.sh index 5e85c60db..915d51cf8 100755 --- a/scripts/documentation/appendEnvironmentVariables.sh +++ b/scripts/documentation/appendEnvironmentVariables.sh @@ -38,7 +38,7 @@ if [ ! -f "./${markdownFile}" ] ; then echo "" echo "This document serves as a reference for all environment variables that are supported by the script files." echo "It provides a table listing each environment variable, its default value and its corresponding description provided as a inline comment." - echo "This file was generated with the script [appendEnvironmentVariables.sh](./appendEnvironmentVariables.sh) and [generateEnvironmentVariablesReference.sh](./generateEnvironmentVariablesReference.sh)." + echo "This file was generated with the script [appendEnvironmentVariables.sh](./appendEnvironmentVariables.sh) and [generateEnvironmentVariableReference.sh](./generateEnvironmentVariableReference.sh)." echo "" echo "| Environment Variable Name | Default | Description |" echo "| ----------------------------------- | ----------------------------------- | ------------------------------------------------------ |" diff --git a/scripts/documentation/generateEnvironmentVariablesReference.sh b/scripts/documentation/generateEnvironmentVariableReference.sh similarity index 100% rename from scripts/documentation/generateEnvironmentVariablesReference.sh rename to scripts/documentation/generateEnvironmentVariableReference.sh From 0eab808842455a36623a0dc40540b645ee8074da Mon Sep 17 00:00:00 2001 From: JohT Date: Wed, 2 Aug 2023 15:35:38 +0200 Subject: [PATCH 5/5] Rename jupyter report reference script --- COMMANDS.md | 4 ++-- scripts/SCRIPTS.md | 2 +- scripts/copyReportsIntoResults.sh | 2 +- ...rReportsReference.sh => generateJupyterReportReference.sh} | 0 4 files changed, 4 insertions(+), 4 deletions(-) rename scripts/documentation/{generateJupyterReportsReference.sh => generateJupyterReportReference.sh} (100%) diff --git a/COMMANDS.md b/COMMANDS.md index 6ee9b9af7..0a8101971 100644 --- a/COMMANDS.md +++ b/COMMANDS.md @@ -131,13 +131,13 @@ which is included in the pipeline [code-structure-analysis.yml](.github/workflow ### Generate Jupyter Notebook Report Reference -Change into the [results](./results/) directory e.g. with `cd results` and then execute the script [generateJupyterReportsReference.sh](./scripts/documentation/generateJupyterReportsReference.sh) with the following command: +Change into the [results](./results/) directory e.g. with `cd results` and then execute the script [generateJupyterReportReference.sh](./scripts/documentation/generateJupyterReportReference.sh) with the following command: 👉**Note:** This script is automatically triggered at the end of [copyReportsIntoResults.sh](./scripts/copyReportsIntoResults.sh) which is included in the pipeline [code-structure-analysis.yml](.github/workflows/code-structure-analysis.yml) and doesn't need to be executed manually normally. ```script -./../scripts/documentation/generateJupyterReportsReference.sh +./../scripts/documentation/generateJupyterReportReference.sh ``` ### Generate Environment Variable Reference diff --git a/scripts/SCRIPTS.md b/scripts/SCRIPTS.md index 99ff64143..bb5b9cf0f 100644 --- a/scripts/SCRIPTS.md +++ b/scripts/SCRIPTS.md @@ -13,7 +13,7 @@ Script | Directory | Description | [generateCsvReportReference.sh](./documentation/generateCsvReportReference.sh) | documentation | Generates "CSV_REPORTS.md" containing a reference to all CSV cypher query reports in this directory and its subdirectories. | | [generateCypherReference.sh](./documentation/generateCypherReference.sh) | documentation | Generates "CYPHER.md" containing a reference to all Cypher files in this directory and its subdirectories. | | [generateEnvironmentVariableReference.sh](./documentation/generateEnvironmentVariableReference.sh) | documentation | Runs "appendEnvironmentVariable.sh" for every script file in the current directory and its sub directories. | -| [generateJupyterReportsReference.sh](./documentation/generateJupyterReportsReference.sh) | documentation | Generates "JUPYTER_REPORTS.md" containing a reference to all Jupyter Notebook Markdown reports in this directory and its subdirectories. | +| [generateJupyterReportReference.sh](./documentation/generateJupyterReportReference.sh) | documentation | Generates "JUPYTER_REPORTS.md" containing a reference to all Jupyter Notebook Markdown reports in this directory and its subdirectories. | | [generateScriptReference.sh](./documentation/generateScriptReference.sh) | documentation | Generates "SCRIPTS.md" containing a reference to all scripts in this directory and its subdirectories. | | [download.sh](./download.sh) | | Downloads a file into the directory of the environment variable SHARED_DOWNLOADS_DIRECTORY (or default "../downloads"). | | [downloadMavenArtifact.sh](./downloadMavenArtifact.sh) | | Downloads an artifact from Maven Central (https://mvnrepository.com/repos/central) | diff --git a/scripts/copyReportsIntoResults.sh b/scripts/copyReportsIntoResults.sh index 9f93fcd17..871f13e27 100755 --- a/scripts/copyReportsIntoResults.sh +++ b/scripts/copyReportsIntoResults.sh @@ -41,7 +41,7 @@ for report_source_folder in **/"${REPORTS_DIRECTORY}"; do done # Generate JUPYTER_REPORTS.md containing a reference to all Jupyter Notebook Markdown reports in the "results" directory and its subdirectories. -(cd "./../${RESULTS_DIRECTORY}" && exec "${SCRIPTS_DIR}/documentation/generateJupyterReportsReference.sh") +(cd "./../${RESULTS_DIRECTORY}" && exec "${SCRIPTS_DIR}/documentation/generateJupyterReportReference.sh") # Generate CSV_REPORTS.md containing a reference to all CSV cypher query reports in the "results" directory and its subdirectories. (cd "./../${RESULTS_DIRECTORY}" && exec "${SCRIPTS_DIR}/documentation/generateCsvReportReference.sh") \ No newline at end of file diff --git a/scripts/documentation/generateJupyterReportsReference.sh b/scripts/documentation/generateJupyterReportReference.sh similarity index 100% rename from scripts/documentation/generateJupyterReportsReference.sh rename to scripts/documentation/generateJupyterReportReference.sh

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