Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id A1D42200C7C for ; Mon, 5 Jun 2017 15:43:19 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id A0347160BE1; Mon, 5 Jun 2017 13:43:19 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 0B949160BBF for ; Mon, 5 Jun 2017 15:43:15 +0200 (CEST) Received: (qmail 92455 invoked by uid 500); 5 Jun 2017 13:43:15 -0000 Mailing-List: contact user-help@predictionio.incubator.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: user@predictionio.incubator.apache.org Delivered-To: mailing list user@predictionio.incubator.apache.org Received: (qmail 92445 invoked by uid 99); 5 Jun 2017 13:43:15 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd1-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Mon, 05 Jun 2017 13:43:15 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd1-us-west.apache.org (ASF Mail Server at spamd1-us-west.apache.org) with ESMTP id 85C76CF447 for ; Mon, 5 Jun 2017 13:43:14 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd1-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: 3.881 X-Spam-Level: *** X-Spam-Status: No, score=3.881 tagged_above=-999 required=6.31 tests=[DC_PNG_UNO_LARGO=0.001, DKIM_SIGNED=0.1, DKIM_VALID=-0.1, DKIM_VALID_AU=-0.1, HTML_MESSAGE=2, KAM_BADIPHTTP=2, RCVD_IN_DNSWL_NONE=-0.0001, RCVD_IN_MSPIKE_H3=-0.01, RCVD_IN_MSPIKE_WL=-0.01, SPF_PASS=-0.001, WEIRD_PORT=0.001] autolearn=disabled Authentication-Results: spamd1-us-west.apache.org (amavisd-new); dkim=pass (2048-bit key) header.d=gmail.com Received: from mx1-lw-eu.apache.org ([10.40.0.8]) by localhost (spamd1-us-west.apache.org [10.40.0.7]) (amavisd-new, port 10024) with ESMTP id 0Oto99FIUUgP for ; Mon, 5 Jun 2017 13:43:11 +0000 (UTC) Received: from mail-vk0-f49.google.com (mail-vk0-f49.google.com [209.85.213.49]) by mx1-lw-eu.apache.org (ASF Mail Server at mx1-lw-eu.apache.org) with ESMTPS id 3E1215F306 for ; Mon, 5 Jun 2017 13:43:10 +0000 (UTC) Received: by mail-vk0-f49.google.com with SMTP id p85so66218082vkd.3 for ; Mon, 05 Jun 2017 06:43:10 -0700 (PDT) DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=gmail.com; s=20161025; h=mime-version:from:date:message-id:subject:to; bh=Tu+jxZvRtJjkcd2Aj5sLol82JgYwqkDcvJQkkhr8f+E=; b=g4xcDD3zQxt0czjw24pkszctzvzD1rwQ8yJ7EYAVSr0N/a4aX/3L2TkR2irGdc2kUn bPjY/Rf3C/Zr/rh54J/msfHg9KgSr4O1rbTFW9fxIE8615cPeKfPZ3jShs2a92ZO2wZl NG8xCd5kQza1FAh3kjKaU1USVHPPuPBFKsSqjYWq1FSkz/o6GtEn6ilLi+DcORcO23E+ xllJ7jdtQsyBLPKfvnzc52fCTGGyny5TImB5y/cj6UEYyH8lHFWNuI5nGw3KByMrw95I TRu52xqIX9y8tR7gZFYqH2OFBCEn+rtMbloYtK0QuQbrpDtMNEFiKZEkhZmohChM6eXi DbKA== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20161025; h=x-gm-message-state:mime-version:from:date:message-id:subject:to; bh=Tu+jxZvRtJjkcd2Aj5sLol82JgYwqkDcvJQkkhr8f+E=; b=ENvbmcR7JleJkVUjwVdz1B1VposyYWCoLf+Caob76bNLmwQkb/gCt7ZRJlNHEsvEh2 has9CJomjmS+WqOjh79wGx9iVkBL/MYQq3m+w9M17Dk1X34xkogtHMMlZ3kn76MYKG0Y vUyJv0RPSc+LSahwqXikdtMY/jZ740avVbZWdcAmAfdEpZmGny8aHBpd7uwIz1pjSzPm 0D2MZlljZNLo/VnzBnH3oHw2szR70aWCxaQHgs+jYyzJhi06K5Nkeui5d+VmzV2NReSq LeOQKcd2+xsXaor3WboUZN7LYfWMq4qeJNDjCtgN7nTjjhySZJFY9kdAI0eVTT13Oe8h qU8w== X-Gm-Message-State: AODbwcDpmaLy2i+8sMMaxgDi8ufQMEpDuYHKVF+sDQepcdwQ4nyWIE8t e6SHiXj18Od+w8GQljPnUXQ3Gk35exlV X-Received: by 10.31.190.21 with SMTP id o21mr4347397vkf.131.1496670187895; Mon, 05 Jun 2017 06:43:07 -0700 (PDT) MIME-Version: 1.0 Received: by 10.176.17.234 with HTTP; Mon, 5 Jun 2017 06:43:07 -0700 (PDT) From: Shane Johnson Date: Mon, 5 Jun 2017 07:43:07 -0600 Message-ID: Subject: Exporting data into Parquet format fails To: user@predictionio.incubator.apache.org Content-Type: multipart/related; boundary="001a1142feeee5fdcd055136ae61" archived-at: Mon, 05 Jun 2017 13:43:19 -0000 --001a1142feeee5fdcd055136ae61 Content-Type: multipart/alternative; boundary="001a1142feeee5fdca055136ae60" --001a1142feeee5fdca055136ae60 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Hi all, I am trying to follow the analytics-zepplin tutorial and am having issues exporting the data from the event server into parquet. I am using postgres for my event server and am building locally on a mac. Has anyone run into this error before? I've checked to make sure I can save to this directory and have tried multiple paths. [ERROR] [FileOutputCommitter] Mkdirs failed to create file:/data/_temporary/0 http://predictionio.incubator.apache.org/datacollection/analytics-zeppelin/ [image: Inline image 1] Sidnis-Air% pio export --appid 2 --output /data --format parquet SLF4J: Class path contains multiple SLF4J bindings. SLF4J: Found binding in [jar:file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Pred= ictionIO-dist/lib/spark/pio-data-hdfs-assembly-0.11.0-incubating.jar!/org/s= lf4j/impl/StaticLoggerBinder.class] SLF4J: Found binding in [jar:file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Pred= ictionIO-dist/lib/pio-assembly-0.11.0-incubating.jar!/org/slf4j/impl/Static= LoggerBinder.class] SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation. SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory] [INFO] [Runner$] Submission command: /Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-d= ist/vendors/spark-hadoop/bin/spark-submit --class org.apache.predictionio.tools.export.EventsToFile --jars file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Predictio= nIO-dist/lib/postgresql_jdbc.jar,file:/Users/shane/Desktop/Apps/liftiq_prot= otype/pio-engine-classi/PredictionIO-dist/lib/spark/pio-data-elasticsearch-= assembly-0.11.0-incubating.jar,file:/Users/shane/Desktop/Apps/liftiq_protot= ype/pio-engine-classi/PredictionIO-dist/lib/spark/pio-data-hbase-assembly-0= .11.0-incubating.jar,file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-en= gine-classi/PredictionIO-dist/lib/spark/pio-data-hdfs-assembly-0.11.0-incub= ating.jar,file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi= /PredictionIO-dist/lib/spark/pio-data-jdbc-assembly-0.11.0-incubating.jar,f= ile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Prediction= IO-dist/lib/spark/pio-data-localfs-assembly-0.11.0-incubating.jar --files file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Predictio= nIO-dist/conf/log4j.properties --driver-class-path /Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-d= ist/conf:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Predi= ctionIO-dist/conf:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-cla= ssi/PredictionIO-dist/lib/postgresql_jdbc.jar:/Users/shane/Desktop/Apps/lif= tiq_prototype/pio-engine-classi/PredictionIO-dist/conf --driver-java-options -Dpio.log.dir=3D/Users/shane file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Predictio= nIO-dist/lib/pio-assembly-0.11.0-incubating.jar --appid 2 --output /data --format parquet --env PIO_ENV_LOADED=3D1,PIO_EVENTSERVER_APP_NAME=3Dclassi,PIO_STORAGE_SOURCES_PG= SQL_INDEX=3Denabled,PIO_STORAGE_REPOSITORIES_METADATA_NAME=3Dpio_meta,PIO_F= S_BASEDIR=3D/Users/shane/.pio_store,PIO_STORAGE_SOURCES_ELASTICSEARCH_HOSTS= =3Dlocalhost,PIO_HOME=3D/Users/shane/Desktop/Apps/liftiq_prototype/pio-engi= ne-classi/PredictionIO-dist,PIO_FS_ENGINESDIR=3D/Users/shane/.pio_store/eng= ines,PIO_STORAGE_SOURCES_PGSQL_URL=3Djdbc:postgresql://localhost:5432/pio,P= IO_STORAGE_SOURCES_ELASTICSEARCH_TYPE=3Delasticsearch,PIO_STORAGE_REPOSITOR= IES_METADATA_SOURCE=3DPGSQL,PIO_STORAGE_REPOSITORIES_MODELDATA_SOURCE=3DPGS= QL,PIO_STORAGE_REPOSITORIES_EVENTDATA_NAME=3Dpio_event,PIO_STORAGE_SOURCES_= PGSQL_PASSWORD=3Dpio,PIO_STORAGE_SOURCES_ELASTICSEARCH_HOME=3D/Users/shane/= Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-dist/vendors/e= lasticsearch,PIO_STORAGE_SOURCES_PGSQL_TYPE=3Djdbc,PIO_FS_TMPDIR=3D/Users/s= hane/.pio_store/tmp,PIO_STORAGE_SOURCES_PGSQL_USERNAME=3Dpio,PIO_STORAGE_RE= POSITORIES_MODELDATA_NAME=3Dpio_model,PIO_STORAGE_SOURCES_ELASTICSEARCH_SCH= EMES=3Dhttp,PIO_POSTGRES_OPTIONAL_SSL=3Dtrue,PIO_STORAGE_SOURCES_PGSQL_CONN= ECTIONS=3D8,PIO_STORAGE_REPOSITORIES_EVENTDATA_SOURCE=3DPGSQL,PIO_CONF_DIR= =3D/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionI= O-dist/conf,PIO_ORIGINAL_PATH=3D/usr/local/bin:/usr/local/sbin:/usr/bin:/bi= n:/usr/sbin:/sbin:/Users/shane/Desktop/Apps/pio/apache-predictionio-0.11.0-= incubating/PredictionIO-0.11.0-incubating/bin,PIO_STORAGE_SOURCES_ELASTICSE= ARCH_PORTS=3D9200,PIO_BUILDPACK_DIR=3D/Users/shane/Desktop/Apps/liftiq_prot= otype/predictionio-buildpack,PIO_STORAGE_SOURCES_PGSQL_PARTITIONS=3D4 [INFO] [log] Logging initialized @6467ms [INFO] [Server] jetty-9.2.z-SNAPSHOT [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@58ba5b30 {/jobs,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@4dba773d {/jobs/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@1d9bd4da {/jobs/job,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@4c58255 {/jobs/job/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@eac3a26 {/stages,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@10b1a751 {/stages/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@53cf9c99 {/stages/stage,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@7b306b9f {/stages/stage/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@142213d5 {/stages/pool,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@934b52f {/stages/pool/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@2630dbc4 {/storage,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@5ea4300e {/storage/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@5a1c3cb4 {/storage/rdd,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@76ad6715 {/storage/rdd/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@56637cff {/environment,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@2938127d {/environment/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@127a7272 {/executors,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@ff23ae7 {/executors/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@423b2b62 {/executors/threadDump,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@2b7962a2 {/executors/threadDump/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@6ad16c5d {/static,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@74ea46e2 {/,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@6f911326 {/api,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@f1d0004 {/jobs/job/kill,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@6e4f263e {/stages/stage/kill,null,AVAILABLE} [INFO] [ServerConnector] Started ServerConnector@6edf29c1{HTTP/1.1}{ 127.0.0.1:4040} [INFO] [Server] Started @6723ms [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@26ca61bf {/metrics/json,null,AVAILABLE} [WARN] [SparkContext] Using an existing SparkContext; some configuration may not take effect. [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@58dad04a {/SQL,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@113ee1ce {/SQL/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@467045c4 {/SQL/execution,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@5a566922 {/SQL/execution/json,null,AVAILABLE} [INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@7015ebef {/static/sql,null,AVAILABLE} [ERROR] [FileOutputCommitter] Mkdirs failed to create file:/data/_temporary/0 [Stage 1:> (0 + 4) / 4][INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [CodecConfig] Compression: SNAPPY [INFO] [ParquetOutputFormat] Parquet block size to 134217728 [INFO] [ParquetOutputFormat] Parquet block size to 134217728 [INFO] [ParquetOutputFormat] Parquet page size to 1048576 [INFO] [ParquetOutputFormat] Parquet block size to 134217728 [INFO] [ParquetOutputFormat] Parquet block size to 134217728 [INFO] [ParquetOutputFormat] Parquet page size to 1048576 [INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576 [INFO] [ParquetOutputFormat] Parquet page size to 1048576 [INFO] [ParquetOutputFormat] Dictionary is on [INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576 [INFO] [ParquetOutputFormat] Parquet page size to 1048576 [INFO] [ParquetOutputFormat] Dictionary is on [INFO] [ParquetOutputFormat] Validation is off [INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576 [INFO] [ParquetOutputFormat] Validation is off [INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576 [INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0 [INFO] [ParquetOutputFormat] Dictionary is on [INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes [INFO] [ParquetOutputFormat] Dictionary is on [INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0 [INFO] [ParquetOutputFormat] Validation is off [INFO] [ParquetOutputFormat] Validation is off [INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0 [INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes [INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes [INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0 [INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes [ERROR] [Executor] Exception in task 1.0 in stage 1.0 (TID 5) [ERROR] [Executor] Exception in task 2.0 in stage 1.0 (TID 6) [ERROR] [Executor] Exception in task 3.0 in stage 1.0 (TID 7) [ERROR] [Executor] Exception in task 0.0 in stage 1.0 (TID 4) [WARN] [TaskSetManager] Lost task 2.0 in stage 1.0 (TID 6, localhost, executor driver): java.io.IOException: Mkdirs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073251_0001_m_000002_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.(ParquetFileWriter.java:2= 23) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:312) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:283) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$= 1.newInstance(ParquetFileFormat.scala:145) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectory= WriteTask.(FileFormatWriter.scala:234) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spa= rk$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter= .scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:129) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:128) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1= 142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:= 617) at java.lang.Thread.run(Thread.java:748) [ERROR] [TaskSetManager] Task 2 in stage 1.0 failed 1 times; aborting job [WARN] [TaskSetManager] Lost task 1.0 in stage 1.0 (TID 5, localhost, executor driver): java.io.IOException: Mkdirs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073251_0001_m_000001_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.(ParquetFileWriter.java:2= 23) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:312) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:283) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$= 1.newInstance(ParquetFileFormat.scala:145) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectory= WriteTask.(FileFormatWriter.scala:234) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spa= rk$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter= .scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:129) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:128) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1= 142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:= 617) at java.lang.Thread.run(Thread.java:748) [WARN] [TaskSetManager] Lost task 0.0 in stage 1.0 (TID 4, localhost, executor driver): java.io.IOException: Mkdirs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073251_0001_m_000000_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.(ParquetFileWriter.java:2= 23) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:312) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:283) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$= 1.newInstance(ParquetFileFormat.scala:145) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectory= WriteTask.(FileFormatWriter.scala:234) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spa= rk$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter= .scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:129) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:128) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1= 142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:= 617) at java.lang.Thread.run(Thread.java:748) [WARN] [TaskSetManager] Lost task 3.0 in stage 1.0 (TID 7, localhost, executor driver): java.io.IOException: Mkdirs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073251_0001_m_000003_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.(ParquetFileWriter.java:2= 23) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:312) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:283) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$= 1.newInstance(ParquetFileFormat.scala:145) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectory= WriteTask.(FileFormatWriter.scala:234) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spa= rk$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter= .scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:129) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:128) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1= 142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:= 617) at java.lang.Thread.run(Thread.java:748) [ERROR] [FileFormatWriter] Aborting job null. Exception in thread "main" org.apache.spark.SparkException: Job aborted. at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1.apply$mcV$sp(FileFormatWriter.scala:147) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1.apply(FileFormatWriter.scala:121) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1.apply(FileFormatWriter.scala:121) at org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecutio= n.scala:57) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileForm= atWriter.scala:121) at org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationComman= d.run(InsertIntoHadoopFsRelationCommand.scala:101) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult= $lzycompute(commands.scala:58) at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult= (commands.scala:56) at org.apache.spark.sql.execution.command.ExecutedCommandExec.doExecute(comman= ds.scala:74) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan= .scala:114) at org.apache.spark.sql.execution.SparkPlan$$anonfun$execute$1.apply(SparkPlan= .scala:114) at org.apache.spark.sql.execution.SparkPlan$$anonfun$executeQuery$1.apply(Spar= kPlan.scala:135) at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:1= 51) at org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:132) at org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:113) at org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecuti= on.scala:87) at org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:87= ) at org.apache.spark.sql.execution.datasources.DataSource.write(DataSource.scal= a:492) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:215) at org.apache.spark.sql.DataFrameWriter.save(DataFrameWriter.scala:198) at org.apache.spark.sql.DataFrameWriter.parquet(DataFrameWriter.scala:494) at org.apache.predictionio.tools.export.EventsToFile$$anonfun$main$1.apply(Eve= ntsToFile.scala:102) at org.apache.predictionio.tools.export.EventsToFile$$anonfun$main$1.apply(Eve= ntsToFile.scala:71) at scala.Option.map(Option.scala:146) at org.apache.predictionio.tools.export.EventsToFile$.main(EventsToFile.scala:= 71) at org.apache.predictionio.tools.export.EventsToFile.main(EventsToFile.scala) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:6= 2) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImp= l.java:43) at java.lang.reflect.Method.invoke(Method.java:498) at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$r= unMain(SparkSubmit.scala:738) at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:187) at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:212) at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:126) at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala) Caused by: org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 1.0 failed 1 times, most recent failure: Lost task 2.0 in stage 1.0 (TID 6, localhost, executor driver): java.io.IOException: Mkdirs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073251_0001_m_000002_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.(ParquetFileWriter.java:2= 23) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:312) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:283) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$= 1.newInstance(ParquetFileFormat.scala:145) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectory= WriteTask.(FileFormatWriter.scala:234) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spa= rk$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter= .scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:129) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:128) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1= 142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:= 617) at java.lang.Thread.run(Thread.java:748) Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGSchedu= ler.scala:1435) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGSche= duler.scala:1423) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGSche= duler.scala:1422) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:= 59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1422) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.appl= y(DAGScheduler.scala:802) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.appl= y(DAGScheduler.scala:802) at scala.Option.foreach(Option.scala:257) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.sc= ala:802) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGSche= duler.scala:1650) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGSchedu= ler.scala:1605) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGSchedu= ler.scala:1594) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:628) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1918) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1931) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1951) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1.apply$mcV$sp(FileFormatWriter.scala:127) ... 34 more Caused by: java.io.IOException: Mkdirs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073251_0001_m_000002_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:455) at org.apache.hadoop.fs.ChecksumFileSystem.create(ChecksumFileSystem.java:440) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:911) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:892) at org.apache.hadoop.fs.FileSystem.create(FileSystem.java:789) at org.apache.parquet.hadoop.ParquetFileWriter.(ParquetFileWriter.java:2= 23) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:312) at org.apache.parquet.hadoop.ParquetOutputFormat.getRecordWriter(ParquetOutput= Format.java:283) at org.apache.spark.sql.execution.datasources.parquet.ParquetOutputWriter.(ParquetOutputWriter.scala:37) at org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat$$anon$= 1.newInstance(ParquetFileFormat.scala:145) at org.apache.spark.sql.execution.datasources.FileFormatWriter$SingleDirectory= WriteTask.(FileFormatWriter.scala:234) at org.apache.spark.sql.execution.datasources.FileFormatWriter$.org$apache$spa= rk$sql$execution$datasources$FileFormatWriter$$executeTask(FileFormatWriter= .scala:182) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:129) at org.apache.spark.sql.execution.datasources.FileFormatWriter$$anonfun$write$= 1$$anonfun$3.apply(FileFormatWriter.scala:128) at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:87) at org.apache.spark.scheduler.Task.run(Task.scala:99) at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1= 142) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:= 617) at java.lang.Thread.run(Thread.java:748) [INFO] [ServerConnector] Stopped ServerConnector@6edf29c1{HTTP/1.1}{ 127.0.0.1:4040} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@6e4f263e {/stages/stage/kill,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@f1d0004 {/jobs/job/kill,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@6f911326 {/api,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@74ea46e2 {/,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@6ad16c5d {/static,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@2b7962a2 {/executors/threadDump/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@423b2b62 {/executors/threadDump,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@ff23ae7 {/executors/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@127a7272 {/executors,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@2938127d {/environment/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@56637cff {/environment,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@76ad6715 {/storage/rdd/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@5a1c3cb4 {/storage/rdd,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@5ea4300e {/storage/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@2630dbc4 {/storage,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@934b52f {/stages/pool/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@142213d5 {/stages/pool,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@7b306b9f {/stages/stage/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@53cf9c99 {/stages/stage,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@10b1a751 {/stages/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@eac3a26 {/stages,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@4c58255 {/jobs/job/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@1d9bd4da {/jobs/job,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@4dba773d {/jobs/json,null,UNAVAILABLE} [INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@58ba5b30 {/jobs,null,UNAVAILABLE} *Shane Johnson | 801.360.3350* LinkedIn | Facebook --001a1142feeee5fdca055136ae60 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
Hi all,

I am trying to follo= w the analytics-zepplin tutorial and am having issues exporting the data fr= om the event server into parquet. I am using postgres for my event server a= nd am building locally on a mac. Has anyone run into this error before? I&#= 39;ve checked to make sure I can save to this directory and have tried mult= iple paths.


[ERROR] [FileOutputCommitter] Mkdirs failed to create file:/data/_tem= porary/0




=3D"Inline

Sidnis-Air% pio export --appid 2 --output /data --format par= quet

SLF4J: Class path contains multiple SLF4J bindings.

SLF4J: Found binding in [jar:file:/Users/shane/Desktop/Apps/liftiq_protot= ype/pio-engine-classi/PredictionIO-dist/lib/spark/pio-data-hdfs-assembly-0.= 11.0-incubating.jar!/org/slf4j/impl/StaticLoggerBinder.class]

SLF4J: Found binding in [jar:file:/Users/shane/Desktop/Apps/liftiq_protot= ype/pio-engine-classi/PredictionIO-dist/lib/pio-assembly-0.11.0-incubating.= jar!/org/slf4j/impl/StaticLoggerBinder.class]

SLF4J: See = http://www.slf4j.org/codes.html#multiple_bindings for an explanation.

SLF4J: Actual binding is of type [org.slf4j.impl.Log4jLoggerFactory]

[INFO] [Runner$] Submission command: /Users/shane/Desktop/Apps/liftiq_pro= totype/pio-engine-classi/PredictionIO-dist/vendors/spark-hadoop/bin/spark-s= ubmit --class org.apache.predictionio.tools.export.EventsToFile --jars file= :/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-= dist/lib/postgresql_jdbc.jar,file:/Users/shane/Desktop/Apps/liftiq_prototyp= e/pio-engine-classi/PredictionIO-dist/lib/spark/pio-data-elasticsearch-asse= mbly-0.11.0-incubating.jar,file:/Users/shane/Desktop/Apps/liftiq_prototype/= pio-engine-classi/PredictionIO-dist/lib/spark/pio-data-hbase-assembly-0.11.= 0-incubating.jar,file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine= -classi/PredictionIO-dist/lib/spark/pio-data-hdfs-assembly-0.11.0-incubatin= g.jar,file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Pre= dictionIO-dist/lib/spark/pio-data-jdbc-assembly-0.11.0-incubating.jar,file:= /Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-d= ist/lib/spark/pio-data-localfs-assembly-0.11.0-incubating.jar --files file:= /Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-d= ist/conf/log4j.properties --driver-class-path /Users/shane/Desktop/Apps/lif= tiq_prototype/pio-engine-classi/PredictionIO-dist/conf:/Users/shane/Desktop= /Apps/liftiq_prototype/pio-engine-classi/PredictionIO-dist/conf:/Users/shan= e/Desktop/Apps/liftiq_prototype/pio-engine-classi/PredictionIO-dist/lib/pos= tgresql_jdbc.jar:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-clas= si/PredictionIO-dist/conf --driver-java-options -Dpio.log.dir=3D/Users/shan= e file:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Predict= ionIO-dist/lib/pio-assembly-0.11.0-incubating.jar --appid 2 --output /data = --format parquet --env PIO_ENV_LOADED=3D1,PIO_EVENTSERVER_APP_NAME=3Dclassi= ,PIO_STORAGE_SOURCES_PGSQL_INDEX=3Denabled,PIO_STORAGE_REPOSITORIES_METADAT= A_NAME=3Dpio_meta,PIO_FS_BASEDIR=3D/Users/shane/.pio_store,PIO_STORAGE_SOUR= CES_ELASTICSEARCH_HOSTS=3Dlocalhost,PIO_HOME=3D/Users/shane/Desktop/Apps/li= ftiq_prototype/pio-engine-classi/PredictionIO-dist,PIO_FS_ENGINESDIR=3D/Use= rs/shane/.pio_store/engines,PIO_STORAGE_SOURCES_PGSQL_URL=3Djdbc:postgresql= ://localhost:5432/pio,PIO_STORAGE_SOURCES_ELASTICSEARCH_TYPE=3Delasticsearc= h,PIO_STORAGE_REPOSITORIES_METADATA_SOURCE=3DPGSQL,PIO_STORAGE_REPOSITORIES= _MODELDATA_SOURCE=3DPGSQL,PIO_STORAGE_REPOSITORIES_EVENTDATA_NAME=3Dpio_eve= nt,PIO_STORAGE_SOURCES_PGSQL_PASSWORD=3Dpio,PIO_STORAGE_SOURCES_ELASTICSEAR= CH_HOME=3D/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi/Pred= ictionIO-dist/vendors/elasticsearch,PIO_STORAGE_SOURCES_PGSQL_TYPE=3Djdbc,P= IO_FS_TMPDIR=3D/Users/shane/.pio_store/tmp,PIO_STORAGE_SOURCES_PGSQL_USERNA= ME=3Dpio,PIO_STORAGE_REPOSITORIES_MODELDATA_NAME=3Dpio_model,PIO_STORAGE_SO= URCES_ELASTICSEARCH_SCHEMES=3Dhttp,PIO_POSTGRES_OPTIONAL_SSL=3Dtrue,PIO_STO= RAGE_SOURCES_PGSQL_CONNECTIONS=3D8,PIO_STORAGE_REPOSITORIES_EVENTDATA_SOURC= E=3DPGSQL,PIO_CONF_DIR=3D/Users/shane/Desktop/Apps/liftiq_prototype/pio-eng= ine-classi/PredictionIO-dist/conf,PIO_ORIGINAL_PATH=3D/usr/local/bin:/usr/l= ocal/sbin:/usr/bin:/bin:/usr/sbin:/sbin:/Users/shane/Desktop/Apps/pio/apach= e-predictionio-0.11.0-incubating/PredictionIO-0.11.0-incubating/bin,PIO_STO= RAGE_SOURCES_ELASTICSEARCH_PORTS=3D9200,PIO_BUILDPACK_DIR=3D/Users/shane/De= sktop/Apps/liftiq_prototype/predictionio-buildpack,PIO_STORAGE_SOURCES_PGSQ= L_PARTITIONS=3D4

[INFO] [log] Logging initialized @6467ms

[INFO] [Server] jetty-9.2.z-SNAPSHOT

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@58ba5b30{/j= obs,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@4dba773d{/j= obs/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@1d9bd4da{/j= obs/job,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@4c58255{/jo= bs/job/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@eac3a26{/st= ages,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@10b1a751{/s= tages/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@53cf9c99{/s= tages/stage,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@7b306b9f{/s= tages/stage/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@142213d5{/s= tages/pool,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@934b52f{/st= ages/pool/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@2630dbc4{/s= torage,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@5ea4300e{/s= torage/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@5a1c3cb4{/s= torage/rdd,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@76ad6715{/s= torage/rdd/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@56637cff{/e= nvironment,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@2938127d{/e= nvironment/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@127a7272{/e= xecutors,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@ff23ae7{/ex= ecutors/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@423b2b62{/e= xecutors/threadDump,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@2b7962a2{/e= xecutors/threadDump/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@6ad16c5d{/s= tatic,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@74ea46e2{/,= null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@6f911326{/a= pi,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@f1d0004{/jo= bs/job/kill,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@6e4f263e{/s= tages/stage/kill,null,AVAILABLE}

[INFO] [ServerConnector] Started ServerConnector@6edf29c1{HTTP/1.1}{127.0.0.1:4040}

[INFO] [Server] Started @6723ms

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@26ca61bf{/m= etrics/json,null,AVAILABLE}

[WARN] [SparkContext] Using an existing SparkContext; some configuration = may not take effect.

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@58dad04a{/S= QL,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@113ee1ce{/S= QL/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@467045c4{/S= QL/execution,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@5a566922{/S= QL/execution/json,null,AVAILABLE}

[INFO] [ContextHandler] Started o.s.j.s.ServletContextHandler@7015ebef{/s= tatic/sql,null,AVAILABLE}

[ERR= OR] [FileOutputCommitter] Mkdirs failed to create file:/data/_temporary/0= =C2=A0 =C2=A0

[Sta= ge 1:>=C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2= =A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 = =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 =C2=A0 (0 + 4) / 4]= [INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [CodecConfig] Compression: SNAPPY

[INFO] [ParquetOutputFormat] Parquet block size to 134217728

[INFO] [ParquetOutputFormat] Parquet block size to 134217728

[INFO] [ParquetOutputFormat] Parquet page size to 1048576

[INFO] [ParquetOutputFormat] Parquet block size to 134217728

[INFO] [ParquetOutputFormat] Parquet block size to 134217728

[INFO] [ParquetOutputFormat] Parquet page size to 1048576

[INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576

[INFO] [ParquetOutputFormat] Parquet page size to 1048576

[INFO] [ParquetOutputFormat] Dictionary is on

[INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576

[INFO] [ParquetOutputFormat] Parquet page size to 1048576

[INFO] [ParquetOutputFormat] Dictionary is on

[INFO] [ParquetOutputFormat] Validation is off

[INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576

[INFO] [ParquetOutputFormat] Validation is off

[INFO] [ParquetOutputFormat] Parquet dictionary page size to 1048576

[INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0

[INFO] [ParquetOutputFormat] Dictionary is on

[INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes

[INFO] [ParquetOutputFormat] Dictionary is on

[INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0

[INFO] [ParquetOutputFormat] Validation is off

[INFO] [ParquetOutputFormat] Validation is off

[INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0

[INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes

[INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes

[INFO] [ParquetOutputFormat] Writer version is: PARQUET_1_0

[INFO] [ParquetOutputFormat] Maximum row group padding size is 0 bytes

[ERROR] [Executor] Exception in task 1.0 in stage 1.0 (TID 5)

[ERROR] [Executor] Exception in task 2.0 in stage 1.0 (TID 6)

[ERROR] [Executor] Exception in task 3.0 in stage 1.0 (TID 7)

[ERROR] [Executor] Exception in task 0.0 in stage 1.0 (TID 4)

[WARN] [TaskSetManager] Lost task 2.0 in stage 1.0 (TID 6, localhost, exe= cutor driver): java.io.IOException: Mkdirs failed to create file:/data/_tem= porary/0/_temporary/attempt_20170605073251_0001_m_000002_0 (exists=3Dfalse,= cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:455)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:440)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:911)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:892)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:789)

at org.apache.parquet.hadoop= .ParquetFileWriter.<init>(ParquetFileWriter.java:223)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:312)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:283)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWri= ter.scala:37)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFile= Format.scala:145)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$SingleDirectoryWriteTask.<init>(Fi= leFormatWriter.scala:234)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasour= ces$FileFormatWriter$$executeTask(FileFormatWriter.scala:182)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:129)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:128)

at org.apache.spark.schedule= r.ResultTask.runTask(ResultTask.scala:87)

at org.apache.spark.schedule= r.Task.run(Task.scala:99)

at org.apache.spark.executor= .Executor$TaskRunner.run(Executor.scala:282)

at java.util.concurrent.Thre= adPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.Thre= adPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thre= ad.java:748)


[ERROR] [TaskSetManager] Task 2 in stage 1.0 failed 1 times; aborting job=

[WARN] [TaskSetManager] Lost task 1.0 in stage 1.0 (TID 5, localhost, exe= cutor driver): java.io.IOException: Mkdirs failed to create file:/data/_tem= porary/0/_temporary/attempt_20170605073251_0001_m_000001_0 (exists=3Dfalse,= cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:455)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:440)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:911)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:892)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:789)

at org.apache.parquet.hadoop= .ParquetFileWriter.<init>(ParquetFileWriter.java:223)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:312)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:283)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWri= ter.scala:37)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFile= Format.scala:145)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$SingleDirectoryWriteTask.<init>(Fi= leFormatWriter.scala:234)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasour= ces$FileFormatWriter$$executeTask(FileFormatWriter.scala:182)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:129)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:128)

at org.apache.spark.schedule= r.ResultTask.runTask(ResultTask.scala:87)

at org.apache.spark.schedule= r.Task.run(Task.scala:99)

at org.apache.spark.executor= .Executor$TaskRunner.run(Executor.scala:282)

at java.util.concurrent.Thre= adPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.Thre= adPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thre= ad.java:748)


[WARN] [TaskSetManager] Lost task 0.0 in stage 1.0 (TID 4, localhost, exe= cutor driver): java.io.IOException: Mkdirs failed to create file:/data/_tem= porary/0/_temporary/attempt_20170605073251_0001_m_000000_0 (exists=3Dfalse,= cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:455)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:440)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:911)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:892)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:789)

at org.apache.parquet.hadoop= .ParquetFileWriter.<init>(ParquetFileWriter.java:223)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:312)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:283)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWri= ter.scala:37)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFile= Format.scala:145)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$SingleDirectoryWriteTask.<init>(Fi= leFormatWriter.scala:234)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasour= ces$FileFormatWriter$$executeTask(FileFormatWriter.scala:182)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:129)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:128)

at org.apache.spark.schedule= r.ResultTask.runTask(ResultTask.scala:87)

at org.apache.spark.schedule= r.Task.run(Task.scala:99)

at org.apache.spark.executor= .Executor$TaskRunner.run(Executor.scala:282)

at java.util.concurrent.Thre= adPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.Thre= adPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thre= ad.java:748)


[WARN] [TaskSetManager] Lost task 3.0 in stage 1.0 (TID 7, localhost, exe= cutor driver): java.io.IOException: Mkdirs failed to create file:/data/_tem= porary/0/_temporary/attempt_20170605073251_0001_m_000003_0 (exists=3Dfalse,= cwd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:455)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:440)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:911)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:892)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:789)

at org.apache.parquet.hadoop= .ParquetFileWriter.<init>(ParquetFileWriter.java:223)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:312)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:283)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWri= ter.scala:37)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFile= Format.scala:145)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$SingleDirectoryWriteTask.<init>(Fi= leFormatWriter.scala:234)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasour= ces$FileFormatWriter$$executeTask(FileFormatWriter.scala:182)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:129)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:128)

at org.apache.spark.schedule= r.ResultTask.runTask(ResultTask.scala:87)

at org.apache.spark.schedule= r.Task.run(Task.scala:99)

at org.apache.spark.executor= .Executor$TaskRunner.run(Executor.scala:282)

at java.util.concurrent.Thre= adPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.Thre= adPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thre= ad.java:748)


[ERROR] [FileFormatWriter] Aborting job null.

Exception in thread "main" org.apache.spark.SparkException: Job= aborted.

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormat= Writer.scala:147)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.= scala:121)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1.apply(FileFormatWriter.= scala:121)

at org.apache.spark.sql.exec= ution.SQLExecution$.withNewExecutionId(SQLExecution.scala:57)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:121)

at org.apache.spark.sql.exec= ution.datasources.InsertIntoHadoopFsRelationCommand.run(InsertIntoHadoopFsR= elationCommand.scala:101)

at org.apache.spark.sql.exec= ution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scal= a:58)

at org.apache.spark.sql.exec= ution.command.ExecutedCommandExec.sideEffectResult(commands.scala:56)

at org.apache.spark.sql.exec= ution.command.ExecutedCommandExec.doExecute(commands.scala:74)

at org.apache.spark.sql.exec= ution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)

at org.apache.spark.sql.exec= ution.SparkPlan$$anonfun$execute$1.apply(SparkPlan.scala:114)

at org.apache.spark.sql.exec= ution.SparkPlan$$anonfun$executeQuery$1.apply(SparkPlan.scala:135)

at org.apache.spark.rdd.RDDO= perationScope$.withScope(RDDOperationScope.scala:151)

at org.apache.spark.sql.exec= ution.SparkPlan.executeQuery(SparkPlan.scala:132)

at org.apache.spark.sql.exec= ution.SparkPlan.execute(SparkPlan.scala:113)

at org.apache.spark.sql.exec= ution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:87)

at org.apache.spark.sql.exec= ution.QueryExecution.toRdd(QueryExecution.scala:87)

at org.apache.spark.sql.exec= ution.datasources.DataSource.write(DataSource.scala:492)

at org.apache.spark.sql.Data= FrameWriter.save(DataFrameWriter.scala:215)

at org.apache.spark.sql.Data= FrameWriter.save(DataFrameWriter.scala:198)

at org.apache.spark.sql.Data= FrameWriter.parquet(DataFrameWriter.scala:494)

at org.apache.predictionio.t= ools.export.EventsToFile$$anonfun$main$1.apply(EventsToFile.scala:102)

at org.apache.predictionio.t= ools.export.EventsToFile$$anonfun$main$1.apply(EventsToFile.scala:71)

at scala.Option.map(Option.s= cala:146)

at org.apache.predictionio.t= ools.export.EventsToFile$.main(EventsToFile.scala:71)

at org.apache.predictionio.t= ools.export.EventsToFile.main(EventsToFile.scala)

at sun.reflect.NativeMethodA= ccessorImpl.invoke0(Native Method)

at sun.reflect.NativeMethodA= ccessorImpl.invoke(NativeMethodAccessorImpl.java:62)

at sun.reflect.DelegatingMet= hodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)

at java.lang.reflect.Method.= invoke(Method.java:498)

at org.apache.spark.deploy.S= parkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:= 738)

at org.apache.spark.deploy.S= parkSubmit$.doRunMain$1(SparkSubmit.scala:187)

at org.apache.spark.deploy.S= parkSubmit$.submit(SparkSubmit.scala:212)

at org.apache.spark.deploy.S= parkSubmit$.main(SparkSubmit.scala:126)

at org.apache.spark.deploy.S= parkSubmit.main(SparkSubmit.scala)

Caused by: org.apache.spark.SparkException: Job aborted due to stage fail= ure: Task 2 in stage 1.0 failed 1 times, most recent failure: Lost task 2.0= in stage 1.0 (TID 6, localhost, executor driver): java.io.IOException: Mkd= irs failed to create file:/data/_temporary/0/_temporary/attempt_20170605073= 251_0001_m_000002_0 (exists=3Dfalse, cwd=3Dfile:/Users/shane/Desktop/Apps/l= iftiq_prototype/pio-engine-classi)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:455)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:440)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:911)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:892)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:789)

at org.apache.parquet.hadoop= .ParquetFileWriter.<init>(ParquetFileWriter.java:223)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:312)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:283)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWri= ter.scala:37)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFile= Format.scala:145)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$SingleDirectoryWriteTask.<init>(Fi= leFormatWriter.scala:234)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasour= ces$FileFormatWriter$$executeTask(FileFormatWriter.scala:182)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:129)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:128)

at org.apache.spark.schedule= r.ResultTask.runTask(ResultTask.scala:87)

at org.apache.spark.schedule= r.Task.run(Task.scala:99)

at org.apache.spark.executor= .Executor$TaskRunner.run(Executor.scala:282)

at java.util.concurrent.Thre= adPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.Thre= adPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thre= ad.java:748)


Driver stacktrace:

at org.apache.spark.scheduler.DAGSchedul= er.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages= (DAGScheduler.scala:1435)

at org.apache.spark.schedule= r.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1423)<= /p>

at org.apache.spark.schedule= r.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1422)<= /p>

at scala.collection.mutable.= ResizableArray$class.foreach(ResizableArray.scala:59)

at scala.collection.mutable.= ArrayBuffer.foreach(ArrayBuffer.scala:48)

at org.apache.spark.schedule= r.DAGScheduler.abortStage(DAGScheduler.scala:1422)

at org.apache.spark.schedule= r.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)=

at org.apache.spark.schedule= r.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:802)=

at scala.Option.foreach(Opti= on.scala:257)

at org.apache.spark.schedule= r.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:802)

at org.apache.spark.schedule= r.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1650)<= /p>

at org.apache.spark.schedule= r.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1605)

at org.apache.spark.schedule= r.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1594)

at org.apache.spark.util.Eve= ntLoop$$anon$1.run(EventLoop.scala:48)

at org.apache.spark.schedule= r.DAGScheduler.runJob(DAGScheduler.scala:628)

at org.apache.spark.SparkCon= text.runJob(SparkContext.scala:1918)

at org.apache.spark.SparkCon= text.runJob(SparkContext.scala:1931)

at org.apache.spark.SparkCon= text.runJob(SparkContext.scala:1951)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1.apply$mcV$sp(FileFormat= Writer.scala:127)

... 34 more

Caused by: java.io.IOException: Mkdirs failed to create file:/data/_tempo= rary/0/_temporary/attempt_20170605073251_0001_m_000002_0 (exists=3Dfalse, c= wd=3Dfile:/Users/shane/Desktop/Apps/liftiq_prototype/pio-engine-classi)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:455)

at org.apache.hadoop.fs.Chec= ksumFileSystem.create(ChecksumFileSystem.java:440)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:911)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:892)

at org.apache.hadoop.fs.File= System.create(FileSystem.java:789)

at org.apache.parquet.hadoop= .ParquetFileWriter.<init>(ParquetFileWriter.java:223)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:312)

at org.apache.parquet.hadoop= .ParquetOutputFormat.getRecordWriter(ParquetOutputFormat.java:283)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetOutputWriter.<init>(ParquetOutputWri= ter.scala:37)

at org.apache.spark.sql.exec= ution.datasources.parquet.ParquetFileFormat$$anon$1.newInstance(ParquetFile= Format.scala:145)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$SingleDirectoryWriteTask.<init>(Fi= leFormatWriter.scala:234)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$.org$apache$spark$sql$execution$datasour= ces$FileFormatWriter$$executeTask(FileFormatWriter.scala:182)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:129)

at org.apache.spark.sql.exec= ution.datasources.FileFormatWriter$$anonfun$write$1$$anonfun$3.apply(FileFo= rmatWriter.scala:128)

at org.apache.spark.schedule= r.ResultTask.runTask(ResultTask.scala:87)

at org.apache.spark.schedule= r.Task.run(Task.scala:99)

at org.apache.spark.executor= .Executor$TaskRunner.run(Executor.scala:282)

at java.util.concurrent.Thre= adPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)

at java.util.concurrent.Thre= adPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)

at java.lang.Thread.run(Thre= ad.java:748)

[INFO] [ServerConnector] Stopped ServerConnector@6edf29c1{HTTP/1.1}{127.0.0.1:4040}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@6e4f263e{/s= tages/stage/kill,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@f1d0004{/jo= bs/job/kill,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@6f911326{/a= pi,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@74ea46e2{/,= null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@6ad16c5d{/s= tatic,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@2b7962a2{/e= xecutors/threadDump/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@423b2b62{/e= xecutors/threadDump,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@ff23ae7{/ex= ecutors/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@127a7272{/e= xecutors,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@2938127d{/e= nvironment/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@56637cff{/e= nvironment,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@76ad6715{/s= torage/rdd/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@5a1c3cb4{/s= torage/rdd,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@5ea4300e{/s= torage/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@2630dbc4{/s= torage,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@934b52f{/st= ages/pool/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@142213d5{/s= tages/pool,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@7b306b9f{/s= tages/stage/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@53cf9c99{/s= tages/stage,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@10b1a751{/s= tages/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@eac3a26{/st= ages,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@4c58255{/jo= bs/job/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@1d9bd4da{/j= obs/job,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@4dba773d{/j= obs/json,null,UNAVAILABLE}

[INFO] [ContextHandler] Stopped o.s.j.s.ServletContextHandler@58ba5b30{/j= obs,null,UNAVAILABLE}



Shane Johnson | 801.360.3350

LinkedIn=C2=A0= |=C2=A0Facebook
--001a1142feeee5fdca055136ae60-- --001a1142feeee5fdcd055136ae61 Content-Type: image/png; name="image.png" Content-Disposition: inline; filename="image.png" Content-Transfer-Encoding: base64 Content-ID: X-Attachment-Id: ii_15c787b9a8303456 iVBORw0KGgoAAAANSUhEUgAAAzIAAAFbCAYAAAAOUbuWAAAgAElEQVR4Aey9DXxU1Zn4/83LkGQI gSyBJkhYm9gm2vgyuKIrWhCFXYKWrqJ/QYt16Srd1q4ISrdg211x26gQa/BvaqWuVBJ3CZa4TawE YRBCIQqDMAtJaUaWQZNCaJJJmGQySeb3OffOWyYzeeNFIs9omPtyzvM853vOPXOee55zb5TH4/Eg HyEgBISAEBACQkAInEMCNpuNjIyMcyixH1EtLlxEEzfKoCdsa+HuMhdPTR2FKRHiRsWFCOjE1QZx CbEhx89yt7MTYmPZs6WBZTFx7Lp91OAEdrpwtEFSkL21207zUKeB92fEgTsmyGYXGza1cOoKI49/ NQaXIY640OKEkacZpHjFBssanJmS+otF4IJfr+cIX2hzP0diRYwQEAJCQAgIASEgBC4ggVFx9HBV OuEwEJ8YR1xYXyKWuIRzaF9bK8/83sW4v4ohrq2LvFZ4IDNm8Api40gKsdfl8dBAFHGxcRAycmtR t6NjoiEhpPw+zWHkaadCefnSy7cQGEYEQi6HYWS5mCoEhIAQEAJCQAgIgUgEEmL45cQRZIQ4BZGS n/XxhFhmjnezp6WbU0RTkD2CmTnGsxarBEycYKCAcE5RDF9Pj4Wx4c6dE9UiRAhc1ASiJLTsoq4f MU4ICAEhIASEwLAkMFxDVYYlbDFaCJwlgeF6vUafZbkluxAQAkJACAgBISAEhIAQEAJC4IITEEfm giMXhUJACAgBISAEhIAQEAJCQAicLQFxZM6WoOQXAkJACAgBISAEhIAQEAJC4IITEEfmgiMXhUJA CAgBISAEhIAQEAJCQAicLQFxZM6WoOQXAkJACAgBISAEhIAQEAJC4IITEEfmgiMXhUJACAgBISAE hIAQEAJCQAicLYHBOTKd7TQ1NdFUX099fRNNTe3QebYmXKT5O9upP9E0KOMUl/YvKo9BkZDEQkAI CAEhIASEgBAQAkLg/BIYhCPTTtE3EkhOTiY5LY20tGSSkxOIMkSxrGAbgxvyn99CnQvp236cQFp6 Mvf85siAxNVXrNS4JCwoon1AOSSREBACQkAICAEhIASEgBAQAkMlMAhHBkhUau7mtaINvPbqWl74 17s1vat/cDvJj7z9hRzAJ8cOEG1sQq+E7fVHKHp+Ndv+JK5NLzhyQAgIASEgBISAEBACQkAInAWB KI/H4xlY/naK7kvggdYNeMoXBLLUb+OetNt5G3i/zsOM1MCp4b7V3tpOfGL8wIvR2g5B6T/5zRwy Fpaz4YiHBdkDFyMphYAQEAJCQAgMdwLD9U3hw5272C8EhkJguF6vg5uR8ZLpMb+QOoNV6/WZmU8a 2qmveJnvPPM2f6go4p7cOUw23cPbvhmJpiO8/MQ9TDZNZnLuHO65bxlvHwgKSjuxjWWPrGbbR9tY eZ/KO5mVv/1E19rZRHnBSuaovKY5zLnvO6z+raVXXR2pWMd37pvDHE3+d1j2xErW/U8gPEzZd88T 66jvsZalnfLnl7Hs+W3+WaWmA2+z8omVPWZTPtlexHdylX7d/u888SzbrF77myys/vH3ebniE+hs 4u3nl2lOjDJww5plrHximX7Oa3GTtdxfRmXrd55YjaUhqDitn1D0zHd0XabJWnmf/dU2mnrYHZRe NoWAEBACQkAICAEhIASEwKVEQM3IDOzT5tlwLx5mb/C0hWTY9E+oWR3PhkNtnsPr79a21b7vr8zu 8XhOve/J9R8zeUz+bTybjuoS245s8Ofx5V36Tp3H46nzvHBdQJ4paHvp2zavNW2eDV47VF7T7NyA rOte89us25fr2R9ciLb9um1BZTv8ql6O1w55E9aV+eUp2T77V2xr1PS3HXpNO5/76mGPx33Ysyio fL6y5L50WEvb+IcX/LK4zhTYZqnH5taL8/4SX3lNntzZvjSrPLo2b5HlSwgIASEgBITARUqgtrb2 IrVMzBICQiCUwHC9Xoc0IxMcbFW/fTX3/Eq5fndjukKdSdb8QNOSTTS6PbS1tJE7Ef7wyjLKgVXv HMbj2c9+j4fDRUu1tOveDcyYaAeuW8H+U2142tpYNTuVpu3rWHYAcv+9TJO53+Kh7dAGLenqX+mz KE0freMBZYeW18P+8jI8nkZemw2kha5fiSe4DMTGk6akaWuANLEQr5fDu0d7gz7zsvRtmyZb2d9o t7Hs1jF6Eu8aGU1u7JW85vGw/1V9puo1SyMet4ey714J1PPy3y4Dctl0pBGPZb9m54YlJmA15VY1 36WemKbELsXm3k9Z+X48bY3Y7N/Dq81nlnwLASEgBISAEBACQkAICIFLksDgHZl3N7DsR89qoVL3 mKJIm6EG5bD07VVcGeQdLHsklzGxeNeYNLH7bRUGtojcW6+E9nb1P1++LVfLGx8flFG5RE88gCkl HuLjiY+FIx/t1tLdfdfNjKEdbe1K9gxWqaOJupPyyR+UmwSv/WYlphRtE4gnIdg58R0e0neblmt1 8dtY6vXgujETv6yVMZK4eJ8zFBsP6qEB6q/pEzapDPc+wIwrxmhlae8cw4zZXha+hwu0qkSrKfof ix7uFj+GL08UNyYSazkuBISAEBACQkAICAEhcGkRGLwjQzmrf7aSZ/NX8/YBNQOyiA1/sPHCP6jZ hsCnLXgtR3sdu1Va1jE5OYqohAQSEqJISLtdy6Ccmh6fHvvtfLJdd1K+Y0omypBAwij12Oc0VqpM R5WD0c6RnSrN3dyc3dMp6iH3LHbir7gZbf5o4zImpyUw+ZHV/MG39mcQcttPHEZb2bPxAZINUVpZ EgxRpM16VpOiFz0e07f02aqVd08mIWoyzxb/wb9+ZxDqJKkQEAJCQAgIASEgBISAEPhCEvDd/x94 4Wavpe6/FxHf2U58/Bg1aTLwz3VL2fDjGcQHD8nb2xlzpRbYFVmONqti4oWilXy5h7522mOv7Bkm FlnK2Z2Jv5IX3I3kFr/MsoUrsfxqGTf/ahkqbGzRdYOYKfGGoJn+aS0r70rr8ULR9vZ2rkzVC3jl /BdovDqXl/99GSs3Wli54GZW/nYDjf+9QMLLzq4mJbcQEAJCQAgIASEgBITAF4DA4B0ZkhmTqNaY 9PAo+kYRG482X3Mgjdx/yB3kQDyeMRN18abZdzMjrM/Qji70E+oa4MrgR0BrIVq9zesx6dPZTmPv JL2PxI5hxrdWsP9bS9n2q5Xc/shq3q74hEXXqfUtA/v4H+ecPpm77/rbPjONyZnBiv/ez9IT21h5 1+2s3riBT1oXYDpn4XJ9qpeTQkAICAEhIASEgBAQAkLgoiUwhNCyIZQl9svc/E8q3zJe+J/6HgJ8 i+h7HAzZmXyrCrOysOy5bT3PtDbRroWwxWO6dZGW5uWNQY9krt/GC++GLOLXPJi32Rb02Oc/FKzS 3oNDBKdHU9rZ7tWl9uKZMV9f01Le2JcLpJ9LUGtkfJ9UkxaiZvnx9yjXFvT7TkBTU8C9UuuAfJ/4 iTO4Rz20gHLqgp5W7Tsv30JACAgBISAEhIAQEAJC4FIjcB4cmfAD+xn//JrG9tlvpHHPE6spKi5i 9RP3kDAumaI/ebEHr6sJqonUmQ+g3AbLz24n6r5lrCsuYt3zy4galcwDG/X3zFzpfXDA2z+YzD0/ Ws3LBc8yJ22Ovh4lSFba1ZO1vWV/+wCrf7WOZx+ZzM1Pqdd5hjg8+hH/v0eKHyDBMJllz7xM0W9e Ztl9+kMOFl39ZX+a0I3kMfq6oRd+vJJ1v1rJnPvW0RT7ZR7QnmZmYU56FMueX0dR8TqW3RdFcvL3 +UQx6DzCA6MSmHzfMl7+VRHrnlnGzT9T0hf1nG0KVSj7QkAICAEhIASEgBAQAkLgUiEQ+hzpyPuR 3yMTnKfunRXae1HUO2VCP7Yta/3vX/G9W8X0Ty94DvtejmLX39Vy93r9fSvB+duOvu9ZFPT+GC3/ dYs8ZYd8mT2eum36u1x8svG9f+Xe4HffNHo2LPG9l0V/V8vS9bs9+99e2uMdOTa17303jrJj/6v6 vl82eHL/dYOn0fveF8/RTVr6Hrb3eHeO0rXCc1hL3+Z5/6VFQe+P0e1Y9FyZ/p6YU7s9S0PLSq5n gyVQ1mA2si0EhIAQEAJC4GIjMFzfS3GxcRR7hMCFIDBcr9coBedCO23tTXpIWPyYMdrjlQejv12F k6moq/gxjAm3VqSzXQ/Rio1nzJh43n4kintObKCtfEGPVT0+OfGJg3tgwaDzee0JqyfY1kTvI5qD YbS306QXVitL8CnZFgJCQAgIASFwMROw2WxkZGRczCaKbUJACHgJDNfrdQiL/c++zjUHZohiNIcg nAPjk6ccGPUOGu3TTnuENSX9yvHJC/kedL4e9oQI6+ucShofz5hBPRYuRL7sCgEhIASEgBAQAkJA CAiBLyiB87BG5iIjpRbw1+kvs7zILBNzhIAQEAJCQAgIASEgBISAEBgigc9lRmaItg4hWzxX/tMG NsSaeoSVDUGQZBECQkAICAEhIASEgBAQAkLgIiLwBXdkwPQPCxj4W14uopoRU4SAEBACQkAICAEh IASEgBCISOCLH1oWsehyQggIASEgBISAEBACQkAICIHhSkAcmeFac2K3EBACQkAICAEhIASEgBC4 hAmII3MJV74UXQgIASEgBISAEBACQkAIDFcC4sgM15oTu4WAEBACQkAICAEhIASEwCVMQByZS7jy pehCQAgIASEgBISAEBACQmC4EhBHZrjWnNgtBISAEBACQkAICAEhIAQuYQLiyFzClS9FFwJCQAgI ASEgBISAEBACw5WAODLDtebEbiEgBISAEBACQkAICAEhcAkTEEfmEq58KboQEAJCQAgIgYuSQKcb R52TE3YnJ+qcOFo6h2ymT46rbcgi+szoOuWk4Szsiyi8rZ0Tda6Ipwd+ohPHqfaBJ++RshOH3Ylr 6Ph7SPPt9M1sgPZ2urRyORrb0f5Oeb8bzwUzn6X9fCsbgvW1nKs660evnPYTEEfGj0I2hIAQEAJC QAgIgYuBgOtoK1Mqndyx18kdlU6mvNfEo9scDHaIWlt52i/noY9az0PR2nl9h5NbtrQO2rb+jDlx 8IxWdkd/Cfs739LGlB2tHGjpL2GY8yrvXie3V55Ldr2ZudrcAeVee/f0Y6/rqFMr15T3W9H+dni/ 33dy1swC1vS5pdkQpO9wVSt3VLZSe56c5j6NuURPxl6i5ZZiCwEhIASEgBAQAhcrAW10EsVbt4/l ulEuDu89w911HRQdcfHwlXEDtNrNnnoPd05M4IWbRsI5nlXQjYhnnsnNTGM8A7VqYMa3s+MzD9DF XnsnM9PPYrgWC1cRNTC1oalGjaDsazD68sTQM2exH8LsWBPXftRF2byxZCqpXnuT+ily3FdG8fFE j5YeVb6mM1xb6ebONANJZ2HdoLJ6bfTVfeZV8bztjCYzYVBSJPFZEOinmZyFZMkqBISAEBACQkAI CIGzIDBCjVJi47hqqofHS9SshwfanPxuZxu/PgPj4qN5OMfITelxuI41U2T3MOJMF5vcUTyc6OEV D0xscPHM7ztYMC2ZiadaeH1fB1vckDEyhsf/dgwTRxGSN5qXbhnBnoOdXDGym5/bu8EQzQ+vNHDi qItft8FVSbE8dftobcDc7ujC0uomM83AiY+aOBATTfuf3RSpdErHjDGkaKOtTmotrbxyvIsTwBUJ 0TxsGkXmuDBDMbuLZ7qUAwKvHG1jZvoonWLbGUr+4GZikofX7d00x8KDX07gzhwjrlOtfHDYzY6W bk4Bd6UncOe1xp70287wurmDK69L5KY0g3autrKRitgRLL7Kw4ZdLja1wzhDFAuuNDItM4ZTJzs5 NcZNSoKB2o8aec7ezaloMI2J5V+m6Qx0Je38bosTMkdyZ6Ya2ruoeN/JqKtGcVOaKqOTki0urjCN IsXHLLadZR/pHuZD/3OaRWnxPPw1Jc2D5eMmfl3XxYmgMvYoTGwscV4s4OZ3W91giOXZqcrpcnOg spWfn+zWHJ0HJ+ksVBsp+RRGt3fyaweMS4jh6al6G9DqjihO1Hdq7cOUYuCpW5O8Dmp4eT3sUTud 3ez9zMNVmXqbKvk0iomdnfziLx6trX73b0ZxXbj67iVIDgyUgISWDZSUpBMCQkAICAEhIAQuKIE4 353tOhdvKs1dbkq2OFl2JorvXm7gpq4uvr23lVo1FnZ3k/fnTjZ5orlrTDRfSohmInCCKDJGRjOu s4WHKl28SDRPXR5Di6OTO7Y26mFIPfLGMC62m5JTbu7/v24Wpccw0dXF/ZZ23oyO4V/SoilpdLPp qB7o5vhLJyv/3KVxcZ3pYlltBxWGGJ6aEE2Jo5MVe89o52orm5lT28noMbF890vRHHZ0UfHn8NNE h492QryBl74Sw+G/dGiOjyaks5uSv3Ty7WPd3HW5gb/Dw7LqNq38rs/c/FtTN9elxDIzAZYdbeNw aIhTQhTNysbDvjUzTl6p66I9PobaD10844ziXzIMzBzh4VSH0tjNkVNd7DndBW0tPHmsi4njY3kq NQZXm5oxCv7EgKubZUe8suvaeaxR6XLqiY51sNLRzajEWHzM1Nqbr43UZ4v+zhitOVAq8TjgmRNd TE+PZXpQGYO1BW+f2OtgmSuK//z6GM3xqN3h4P66bu6aYODBkYqFk98dc0NbN8/Uufl1RzTfnRBN c2snd5ibtLBAre6OuTkxKoZ/TIliw587+IE3pC6ivGAj1HZrl9YGtdA2t9LVwaOOKJ7KiGHUmS7u 33PuQxBDTbjU9sPcBrjUEEh5hYAQEAJCQAgIgYuPgIeiHY2Mc3fzYqsHomK48zK4vxqe/pqRr18e Ayke8vZ20uIfsMfwn7OTvaFFndy1qYmOrEQe+IoBh7WRA0Sx9c5kzcG5KbmJ7I86OdwIJq3wQXnb WlDj+F9+fSzTxkHGmdP87lQ0r84aQxJunt7UjOUvuvNCVBQpMV566tBIA7+8fbR24D8bG1jW3g20 80G9h2lpCTw9daS6dc+JTU20+PL1gO+k6C8eHv+akYlXdjDtaBsVR9p5+Mp4bXZB2VUwdSwz04DL HeS979bKn3ltMruu9QrqbKVos4sO5Sf1GOkZmZfeRqFdd44mHuvgd0RR9tV4XLtbITqaiZOMTLvW l8mlRW3FKzs74aRyMuJiuOlvErmph81qx8DXJ8XA0U5q1e4fdSetodGtOWKu/+uCkbFa2NVhL7O4 tFE87Gwkz9KtzZhlKrVtLdqM0gs3juZOFVLX6OBFbxnxz8AEKT/l4H67hwcuN3JTsjrezgcNHq4b F8e8a+KhM4bF77VxorULfXolmldnJ5MC3BjfyJSjXdS2QJxWdyNYNU0PTEt5v4Fv17tx9SsvyBYv Nl+oGUSz6y5d11U08rujHs1pCpwPyiubQyLga6lDyiyZhIAQEAJCQAgIASFwvghscHaz2BjNC+mx fP36UcQdbaRB3a3/31ae+V+f1ihG+DbxjlW1/S7NGXF1qhGqAUezciiiA+snvhTLdXRy4NN2TN6R Zc8BZhSj43XB48ZEoxTr57uVGPaogXHIR83RpIwIBLuMGxGloqSgxc3/eOCe8b5hl25bSHZt13XU RYna+qODU8dgB7DjmFob5DWGKC7zLVmJj9LCz1RyV10Lr3zUQaHLN1PSk4tP18SrRnCV3cWOWhfT PuuCeN254Jo45n3gYs77TaTEx/DW7clM9M2IqcyjElj7pQ7uP9bOi8faeTrTyAOmnqFrSV81cN3R diosDtpPeVj1tTiO/K+LEksLoxs8LM7qSVizW1WLsl85o35HJYoMPR4Pgsqopwz+t53XP+igIT6W p/7Ga0uLm/c8cOCUi2vLAo+HeDrGu04oKiqgRqscXZ5ed0FribzPH3D1Jy/YnNDtIF1xXvN6EwjN JPuDIeC7ogaTR9IKASEgBISAEBACQuA8E4iibPZYtLv0Pk3KoaCL/7w9xXv33XcCXPWB7XBb8cag QaqWwKM5OpljY6Gfh3Jpg1Cff+AVPj5UXBil/mF0QozmcJxyBoQo58t/3p+3kz1/6gJDDC+kRKEm c1aN6GJlYyeHW+Aq76hNi/ry51EbLkr2uCiMjaFsmpGJuLh9h1srny+Ztt5I7YwaxVOJLr79Ryen 2j0szvAOrceNYtU9o3iq1sG/Wzq4/w8t7JoR7CLGct2tY6lua2dP1Rm+XdvG164wcp3f+QAS4vnu yHYere3QZtCqrhzFVXUd3F2rShpFWabPGfNZpc/0BO35N7XZJP9e+I3anWfI80RRdrseUqalGhWD WmZz01cSefzanvrUU8aCP3Fam/A9MCD4jFo/EwVtENefvL7aQaC6ewqXvXNGIHDb4JyJFEFCQAgI ASEgBISAEDh7AoGQMa+sNAPzgG/vaeJEi3rXTCs7BvhY5RQt/quL5ypbcXW62LG7g8NEceWFWHwd a+AmAxT+qY3aRhcN1jae8fhmeII4tbTxizOwKieRO6eOYd6tY5h3ewJ34uHXvrUmQcmDNzvUzIYh mnGJHiyH3drMleaGaBFeHvb+0YmrTQ/3MmXHwpkuCruiuOur+mD/hNXBYXs7SX89QrM1aLJCV9Pi ZM/HrTiI5arxKtYs3Cg9FlO6Hi933Xj96WFXXen1vrxhZcE2q+24ROUJeDjV1E6D3bd2JzRVmH17 M3P+7OGqcQZGNzk5ceyM/meHm+Kh8OgZDtS141J273Xg0IsOnm5ONLq1hyM8d1CfkboqQa+LhrYu HJ2dOI428dApD/MmxBHHiMjylExPNxZ7uz6jFMZMOXR+CciMzPnlK9KFgBAQAkJACAiBIRIY1WuU YuSpazs4/HEnd7zXrElNSTTwvk9+yN3xHrMe6aN5+/hp7q5rp2SzGjBH8cLXRjIx1jszEpLXJ9L/ HeF8cKhQ8LbKF9g3MHOygev2upnzfuQXpDj+1MlhYpieqT9RTNdt5MG/auP+zzp49pqwi2o0Tfdk OcmrdjOlzE1KfDR3RnVjO+3mqssN3GNw8cxRJ+sauth1+yjiLo/n8Y9aedHvXLg5cKyDZe2+uZ4o 3rpGxZV1aWF7aj7FdbKDb6uHEBzVnY07x8X1nI3xgkrKNnBddRePZ3vj39LieTrKjW1CgEZgC9Cc 004e3aumxaLY+nfBs0B++r02XNraIzh8qoNb9CcT6GliYvl4ehwPbHNxv+/9N1HRbL1Gf4iAcprm vK+3HTXzVTZNX8+EQtveyZTNTZqc65IMPH2jHg82c2p4eRMnxjLtf13aAycez4aHVcGC20nwtpIa ut+rVHJgsASiPB5POJd6sHIkvRAQAkJACAgBISAE/ARsNhsZGRn+/XO70YmrsQtGxRHXy9npR1Ob C0e7h7hR8YPP24/oAZ1Wd/FjnbxY4iQ+O5HFOT3DnwYkI2KiTm1mIC4hFIrOKy7Z50I4WVniZGKo fsWmM5qkUcGOVLAyJUc9US0e/xPlgk/7ttULLhOCZITu+9L5vjvdONq6SRrls8934uy+XS3toB7T 7OXhOtrItR/DrjmJjOpUYWMBG2u3neahTgPvz4gDd4w/T7AFofK0c50uHG19MQuWcPFun9/r9fyV O7Slnz9NIlkICAEhIASEgBAQAueEQCxxyUMcwiTEkRS8iP2c2NO/ENexJh6ydHFXSjS2v3SxQT0V Ta3POacfNWgPJzDAy1XbxHxLJ4ejYqgKdaIUm3DZ/ccCcvyHwm0EOzHqfOh+aJ5YA0nBa21Czw9x XzmrPT7e8LJRCYag2TI9hcvjoYEo4mLjQp70FpDQS546FRt3XmwPaJWtvgic6yuoL11yTggIASEg BISAEBAClySBuNGxPDjag+WMh1GJMbyVmcB12osiLyyOuKQY7vkreP7qxH6clgtr14XQFpcSywvp 4TVNnGCgQIsvC39ejl6cBCS07OKsF7FKCAgBISAEhMCwJjBcQ1WGNXQxXggMkcBwvV7lqWVDrHDJ JgSEgBAQAkJACAgBISAEhMDnR0Acmc+PvWgWAkJACAgBISAEhIAQEAJCYIgExJEZIjjJJgSEgBAQ AkJACAgBISAEhMDnR0Acmc+PvWgWAkJACAgBISAEhIAQEAJCYIgExJEZIjjJJgSEgBAQAkJACAgB ISAEhMDnR0Aev/z5sRfNQkAICIEvBIGOjg5aWlpxudrp7u4+r2WKjo4mLi6eUaMSGTFiYG8AP68G iXAhIASEgBD43AiII/O5oRfFQkAICIHhT+DMmTM0NTVhiDMSN3I0UVHnd6Lf4+mmy93BqVOnGDNm DCNHjhz+EKUEQkAICAEhMCQC4sgMCZtkEgJCQAgIATUTo5yYOGMS0TEX5udEOUqxI+I1fZoDZTDI zIw0RSEgBITAJUrg/N46u0ShSrGFgBAQApcCARVOpmZiLpQTE8xU6VS6lQ3yEQJCQAgIgUuTwMAc me4GzO+WUv5uee+/d0qprHHAaSul71biOFccXXWY3ylm/ZvrKd9t61eqdWsplbaA9gareUD5+hUc ksBdb2H968VUN4acOBe73XWUvr6OCsVzmH3OK5dhxuKcmHuur6dzYtTghYRel4OXcB5yqP7snXJs Mv4dGFwfrzB9nloTE2MYwjqVjhZON7UMTH8fqZRuZcNw+9TtK2XdW2b999LHN1J79J0Pw38g5e6h ayAZJI0QEAJCYBgRGJgj47RTtrmc0s2lvf/KyinZUYvz+F7KNxdTG6kzHiSU8hd/SnGZmcqdlZQW be/HQXKyd2M567fW+rXYPyyh9I0t/eTzJx/whr2yhMo9ZiqCnKYBZ+4v4bFKyvdUURJUjv6yhD/v xl5jw3Ee19w67DbsQT+s55VL+EJ+oY6G8jzb6ylU3ucDq/d1+bnY4XJgq7EHVDvtlJSVsmUY3jAI FOICbvl4henz1ML+oayJqSm+i7+/rZg+XZkmG5U7jtDRR1GV7vP9cIE+1A/xlJuqzeVUbS/mkPq9 9PGN1B5958Pw79+AEF39Z5AUQkAICIFhRS20DwkAACAASURBVGBgQc2JJp7/5S/1grVaeHJpIZ03 LSb/YZO/sE7rIcCg/e8/eBYbzSfBcP1i1j4S0NGXOEMiGA2BFAaDssXIwAoYyNffVsady1me00zq V5L6Szr48xlzWflEDgmXZQ8+b3COmmJWrali8StrGRi94MwD2bbyo1UF5Dy2lsXJOvTzymUgJg3r NL15otrvkK+nMPI+Jz76dRl0YX4OdlRv/BH5O02s/eUiRdSP1RB3rnuHz6FwF0JlYgIJCtvAbnsN yKIRcePgS6OI6yN1R8MHPP74f/LmXjNZQ5j06UP053zKQO4TK8lqTCA7EXDpP5uGOEU5zMf7szo0 /iG6woiXQ0JACAiB4Uxg8L/k/YxJju+rYO9OM7WtCUzImMy3HsolxfsD6Kip4I2NZo67ICU1i1n3 L8Q0NgSfCq96o4T96k6V3cy6V/eTOXsh09MNVG9dT8mOQzQzmklZNzJ/wUy/7BApYXfD53dQ8XoR DRlzmD8tXc9XX0nhOw3M/c5c0jTb3VS+tY7jk+YwP6uBXbtrue3ydIxxYH2nmLoMExyowGytJyE5 lclz5pObk+K3oc5aQUnZXprdMDI5hfSsG8m9w4TRn8K70d3Mod2VjL4jk5REAzRaWP9eA1NyoGKz 4pbApIzJzPcxbaymuKgUq72BhMQJZN46m5lJNorLlFMJW15bx35jGnMfzGWEtZwy+2hGn95PZY2T 6Q8/Qba9hC3NV7PoGzm6Ad12il/bQvY9i/z1EmA2ggnpOcy8I5v975bhBmq3rGPdbiOT71mIidoe XJTAQN7Q+mqg/E0zaTdkUl1Wxv6TbaSkZzHn/oXkeNuDbUcxG7daaSCBCemZzL53PtnJupn+f7sd WHduZ2/NcRoanRiTM5l57zx/ukgywh/X67ghax5zTXrduVX7e7eZeY/MJQXd5knTstm/cTOHTrYx IWcm35oziYqijey3O0hJz+Heh+aToQYnwIDa+2kL69/qzTPLW8iI11OjHfPOXVTb62luhZS/NnHv /dNJiiAv+DrTyvVOLTcuWITJx1S1+U3HmfWd+WTENVDxZjFm63FITCHnpjnMv0NvI1rerU7mPZyL l5J2bQRz85ru/3I7azFv2kXFh3YSklO4eta3/IwddivbK/dy/LMGnG4jmTfNZN60bK3tVNjTeOjh mfhuGThtqj7qmKPZ6KDizTf8NmZdP4uFs3u77dZ317PZqlqrjXWvF2JMvYWFM9BucDjtVZTu3ssu m4OU8RnMeijQ7mFg8n2FDLR173Vy73xykvu/BgbcnrS+oJlbTG5K3zTzGQlcfccCctPrKC4q1/uG r93Covun6/1KpPah2qXqC+rTuJpqNu/YT1tcClnXz2HhbG8/AKhQ0eJNWzjeCCMNDUOb2XZ+SuX2 D6j5zMXYCRPJNt1K1gSf66I8k1N8/OFWag7YiEu/kbl/fy2av9Jk48OPT9Fap0KKGyit+IDbEiEp 40ay0n35feQjf0dqW74cDmsF6zab+awVRo9P58Y5C5iZlUSk42j9bQn77W2MVv38rPnkevuK8H0K RDrefEz1wylkZqRozrX6IW6wlrN+yyG9b8ma2uO302dz4Hvg7bOnrv773oAO2RICQkAIXPwEzuE9 NlVYJ+VvlFBDKhPiTlO9p5S8/67WKDitxTy5pgRrI0xKTcJ+sJLCH+UTFPCh03KfxmatoU39mJ6s xlpTTUOzG+tbK8jfWEl93CQyk5ux7ixhxU+KcQ6QceT8sTTUWDAXldHglWV5dzOWfeWUW7xrVVqt lGy3UO+OxXl8vxZa1qDGRjjZv8NMSUE+JTuPk56VymmbldKCQqq9YV22d/L4aUEJ1pMwOnkknx2x ULFxPTXhQvCcdi207FCDKj041Y/d9hLyC0o4bkhnUtxprHtKyf+tzrT81XzMB+0kpWcy0lWL+V0L n9pqqKnX6GE7aMVqOUR9K9R+uB3z5vWU7qzB2digcWuwVVJVtjcwSHE2ULmvir3H9HJb3/QyZwKZ qUlU76vis9O1WI7Ua/Y5aqxU11iornOGcKHv+mq1U7GzgsI1hZhPGshMT8B2sJKCF0s0Bwl7OXlF ZuwkkZk6ktp9Zqo+7V3T7sObKSgqx2pvZgQOrPsqyF/Tj4yIst3U7rJQ/mGgRbobarHsq8Cu6spr c8GqAqqcI5lgaKZ6ZzErfpiH2Q6TxoPtoJk1b1TqdTfA9u5UOsLw1IT0cT1Zy9ZooZf2xg5wH9fC VPI2VdO3PF2qweDEcrCKoves+gHldJo3YzlopcPgoPiHKyjZaSUhPZOUVhvmjQWseEtPqzHZU64z 0XL35uYXqu7iG8B9sJziLbWkZqRw2lZNeWE+VpdK5WRzXgHl2600u0fgPmmloiifEpubkc46rHtK 2GwN1Lu5qBjrwXoMccrGJzUbGT+JJJedys2F5G0N1J1ug5Pag3r7VwNia00Nln3VWttXA2br5mLK bd66q6mi8Hlv22Gg8nUt4a6Thu6BXQMDbk9aX1BM3poSzqSmMqLRTmVRHivy1mMzpDKBeqzbi1m3 W+/FIrUPZbHWF2wspGCjGUN6JgmNNio3F2jc1Xm3rZTv/6SQyoP1jEweQcPJIazZ6/qUVVP/jsdX /pKDtiNsXPk4D855IxAmNmI0/PlV/vmRVdTYdvDcvz7A1GfKtPMdDQd4+vHl5OW9rQHe9psCfvGz f+bNDz/VgQ/o38htS2V3WtfzZEEJ1fWQmZFKs+rH6jsiHqfVwoofqv72NBPSU2mzWyktXEG56goj 9SmRjqssByqo2l6t/c4pe1R7tG0vp6rRwIREp/bbueI/SvX+sFd5B9c+e+jqr+/tpUsOCAEhIAQu bgKDn5HppzwZc5az/BsZ6r4f65Y+SdUBC877Myn/LzMkTiV/9UL9jmHNeh5dU6n9kKSnBgmNy2HJ 6nyKl36fKtNj5D+YA93VrCpowHDNfNZ+b7qW2PrWKgq2q7Uq85ir1PX16a5m8/bI+afPzsFcZKHS DnPT7Zj36D/cVVu3s+j6uTQc3IWTJGbelAZHvSE/Pn3abjbLX1pCRjQ4rinkyVctWI46yf5KPUVl NkifSf7KeVq53db1fL/A4svd89sXQuA7qoUXQfY3l7Nktpfp9xVTK857JlCnxm0Zc1n+vZm+HNr3 2hzF1sJjq/PJ8d7AtGozaSksXv0sJu+MgXW3UmgIhN/59Cv3VjHb2YAhax5rn+gpf9b12Tz53QKy H8tnUY4+RefUFOjbWt4+eM+9TL8jbsiay9oncjWbLa8uoXCfhRrXPDIa6rRjuY8sJ9c7SdajgN4d Q85C8l9aqM2MqUP2TStYtaUWezekRpDhtESS7UTFuQSHJ/rDu5Rwg26z8Zr55Gtt0E7+o6uoTjTx 7M8Xa7MTFXmPUnKkGgdT2DLA9m7Mmkf+S+F46oUMfz1lk7PgOdY+aNBDpYDSpx+l/E82jPeEl+dF pn+lzmTm+FIqtm+n7v4c0nBQ9aEDrplP5rEt5DdCzoKf8ti0NM3ZKHl6CRXby7Ddl0OqL+QtWGAo t6Bzmr9PNkteWUJ2NDj3rWPJq1XsP+okJ8fIwtVrWRjnbTfYWPFoHrU19cy7cy7pZflUlplZmJOr zU5W2CF9zlxSbVswN8KUxfksMunzmsVLH8V8sBruCG4wRuYuf56sN58kf8/V5P98oc7LZdEGzIaM ueQvz9WOWV5fQuEeC1bXPHI+Haj8Pq4T1WcN4BoYWHuaSqy3L/DXi72cR1eVYrx+IfmPTFWtX2uP 2lqgm1Mitg/I1ps1BuauXKtfX62VLFm6HktVDfMysigvKlcdC4+9tFzvP1wWlvygMKhW+9/s+OQD SoGnfmvm3suBn+XRcrpFn3FR2TuagWv5/7du4Iax8N2/f5a5jy9n26I5/P0Vd/N7y910HCtm6j+8 zS/WbxxCaFnktkVGKuX/VQmGHFaufYxAi3FT8nS441C9KZ8Gklj80vOYVJ/abdX6wBqrneljw/cp kfsa1e327HvVOqDgvtb88hKKD+7C2joXk+/y8GJ3D7j96xl66PL2Y5H6Xt/vRf81fP5TNDYGLcI8 /+pEgxD4whBITvaFWnxhitRnQc6xI2Nk1gyfV5HEjSYjVXvUUMaNU325LPzkh4foVCa16s7C8Ton pIYGWbn1O1FufRiEs43TQM7Nk/2FyblzDsbthTQ0q9mHforRT/60628hqcjKrspqck1VVJPC9FuT MO80Y2mdS/NOK6TP1X7UA/eHvaa4wXj9TM2JUUeSMq7GgAWnsxOczZrdU+bk+sPIvCXyl6P/DSPT g5hOvsZA1cFmOkli8vVJVO0p4dHv72X6N7/JvDtytEGZxlpRV8r8kRidkHg1WV4npl+9Xmam227s ndTp1uvQrdiH/Mqq1P3w5jK0/KZZulOqsmRenwX7ajSbjZdnk0QVpaseZf810/nm/fPIGRtGj8rY WE2l1UaD003Dn5yQmKGFG0aSEel470L2PqLabc60Kd4TY0lNhOM5N3pDrCDtsiSwK8dwkO09Is9I 1xMQbdBmEq22OpzuZqqdYMxQjofi30/9YGDWN6dQ8WoV5hqYf9khqlphys1TcDtLACO3XO+VhZFZ 3zRR8WoNzepS9ZZ+wF9uMNw0XXNiVB5j1mSMVOF2a70AxLmptlRhq2/A2azPFGakjobodObclETh ngosrlxSdpZpNxMWzsjAfWyXpt76Xz/hyTdVE+zEoWbNPq3TZltCe5NOvbVqd7+DW5Fqf779rBtM sMeiuircTv0qH5D8SNfJAK+BgbUnH20jt6ibKeqjZqKA7Jt94XTe9uhL2lf7UDwMU5juG8EnZpFl gJo21WG4aW5UdTbLfxNEieynh/Vp9X+PmHAVKjzyucX/DI/dT3ZWJldfcZn/PMqV/NLdXOsNJZ1w w51kUcxn6klmE0bp6bxNRKs+LeYsKPtANiO1LXV9OtUazFuCnBglMNJx6GxTrkYbRT95kvVuxcOh zWR32hswXh++vxpMX6OKarpNOaT6Z+o0E8UHw9/wGlT79AkM+tZ0Reh7A78XQRk+p81LbTD2OWEW tUJg2BMY7O/T0AusfiNTc7jt+jTcPgeF0Uy5NnTYEUaF9y6SO/gpXMEzCWGy9DjUX/7EHG5Jh/ID Faz/P+W0zGP+gjT27yygbHMJBhvkPOQbwPaQ7N0Jck+MRm1hrHbCN0ryfYcf9ocT2PNYkENiMGrL brWBhenh51mSUULJOxVa+I9531zWLtdnOHoK8O5p4Txhz3gP9pyd0Q4awjSRoPKEldYfb18m32BW DZTigtpB8lSe//lYiotKMB80U3Cwktzl+czN6KnYvrWAVRv1kKek8SnQqGZVvGWIKCOSbJ9RgW/v TfDAAbUVZHNQrXvT+EZe2pho4O29Z7F66gu756ZizVOU1KgBt5GU8UZtnYx/qfAA5CVdP4tsqqjc YWF6zn7cpHObuhYPa4XsEbKZEFw3YexR6nqzCCTsYY63bWhnu20U/CAPbQlLYhIpRhVsFviYvjEL w54StvzOTIoK+btmvjabqKcxkHXDbUwyeG96KBIZU/03DAJSAlvBLVmvqaD6CiTzbg1Qvq9wodfJ EK6B3gzD2OfvC3zOaiBNIH8/7aNXWY3+WU3fKe0uvm/H7+75D/S/YbyWX2x4kXW/eZ3nVv6znn7a v7PtxbvxuikhMnRPZSj+SoggfbeftqUSBeYze0qIdFy58TdOm4zB//sFk6aaIJkI/VWkvsbXaHrq 1W/veI9FSuLPMsD26U8fshHUj/Xoe0OSya4QEAJC4GInEPzbfv5tdaWQO7uPgXYkC7y/0MePHIfr vQtSP1UhPKGf3r2/dqTf/AamzjBR/oaFqkaYungqRBuZlWWgZGcFkMJj1wcW74dqDd33Dy20O3dg qzkOOfqTyOrtKgzhbLD7pWtqs6fNY+W0eVg3raJgSwXW1lztTqimozeOUFO1IahPovtYEFOv7dUH aiDHd9c3JHvo4M13ul/evoR9fCdnM/97K5nfamXV0gIqtlqZ2+MJdg62bLbC+OnkPzNfG8BWv7mE /D1BMiPJCHtcX14fNEahVi12P5u6Gmx7j8QzqEjaZquV8honKbcu5tkH9bpRoVVVoen6lJfOzFuT qN5ZxDqbA0PWfG1WUXcS3NQeczI1R3cu7TU1oZID+93HtUeuD6ipeXP52pvz4+2aEzN1cT4LtRCx apY8mh+QPXY6M9NLKN9SjFr2nauFUPlOu0kx5ZLrmwD2He7jezA2KtdsQPIjXSfn4hrooyx9nhpo +wgrRK8dZ416lL23rz15PExfGzZzj4Njr7qDp36m/uCT3/+Y+/61mGPOu7laa1Yj4M8t6oFderhZ 26eoVvb3PSSonRGM8M8q9zoZ8UC/bUtNXNbsx0lOL+c30nGlbPLsXMI2ubB9inJy+uvHAkUwGPy3 Irx9T+CcttXjeh5g+wwRIbtCQAgIgS8agXO82D8SHiNTbk6Bk+Wser2carsd644S8l4u7XEHNjS3 dywAiTncOB4cOwtYt8NKna2S/JeVg5HO1Gt9zzQCp/fhAOr9KdqA1F1HVU01dnf/+VOu94UIZXOb N+5++hzvVH/61B5hFqF2RtxPTCfbAA1bfknxbivV+0p5aXP/L/eMKK/HCQelLxdQutuCzV5N7f+p 4LuxJKhBglZ4B4f2WbHsNkd88V+sSuyu4o13Ldgs5fx0jWLq/SRmMTlZMV/Huq0W7DYrJa8WUKkW t3orpu5AFdWWSiy24PvoDLi+fKpCv53WUgpeL8VaY6e6ploLzxs9dnRIsgRSVBioWiC+20Llu+vI 36mvc1FDsUgyIh1X92eNCse+Ikot1Vi2riN/S+ji8RATIu4Osr33xzNUjzEBFZHTULOXSouF8tdX YG4NcrkGKC9n9hyMOLT3AZlu08M2jV+ZooXbVBasoaLGjm13CQVbGjSHMSdRxfarBuak6I1ybDYL 636iP7BjKK65YbRepzUfVmCxVLLu6fyQ/sDAzG96r8Hkqcz0zsj5bKzIW0W5pRq7zULJy3mUajNU obB8fcFxKmuqtRmokNbaK8Og5Ee6Tlr773N6KR7MAX/nGCZTf+0jTJbAoSSuzjJqfXX+pkqtjgtf VqtdBvn57AOeKyjjE/untDR9ymd25RiNINHfUFTdv8Rzb31MS8unlL7wOPB1pl4ROl/zMb+v2Mtn dhunW/qdUvYb2XfbMjLZlASNlTz7ejk2uw3zpkLW726OcLyOrBtUiK2dNavWYbHZsFnNFOYVYm0d Sl/jN1Pf8Nblod3lWG02LO8U6n1P+kx9PaP3vHooTXWNnUG1zxBVsisEhIAQ+KIR8P+sDKZg2vR/ 2NuboeJi/Ws0su9ZTu7/PUO5eurWHv2H0Zg+neZuMEZwpwKDVwPznngMu3piVFGB985zEnOfeMIb e29kUoaRyoMVFKwxs3j1WlIzMmCPlfVr8jE98jyL+8yv1pKYmDoeyjOm++OmDVkzycFM562BsDI9 5CK0nD3pBc6msPCJedjySjC/UYBZhb+o965EXMMYFNrlFxmQph/yMu1u4LjNivWgFbU0V32mLPDy +MqNpKuwoTcKUM/QmvrYFCarmYWQO5vZfzefjO0FWDcXogK0kq6ZjsmuP3VLhSzNf3IhtT9ZT9XG Qi9zA7l3uCE1k6npULGzmPydkHTraP7jBtUgfLb2V1+BlF7TvV96/nr7cax7rFj3eEs2fgpP/EPo fVADuY/Mo2pVCeVvqIXIRky35mDZeUibIRgdQUb9e2URZef+fzMxF1RoT9VSBuXcNp367fv9JvpK 5zvQ48EA6mBsgPGg2ntib57/dp0m0KfK++2VH53NQwtMrCqysL7Qoq0Lmno9VO7bj/NhE8Yw8kwZ gUfr+oWqGY+MYkptQTcE4rL5wWO5PFNQTsmaVXrSZBNLls/VA4yycpmZYabiYCl5B4HkHKZfX0+A kl96xA0fR7XYfv71For3lVO4T4WGTcFEFdYDtWDSZ5qMObnkUEnn7MA6M4JsLC3M1xaVq/qfepNa QK7PIgUrz7phCuwxU7xGzfakMNo0z99Sg9P5W+Wg5Ee6Tuinz/Jr85vQV3vSE/nIqbgog7ekgWP+ UMh+2oemOaQv8Buh1mo89BgmWx6WLeup3gKG9BwyWq2++xfBSSNud3S1sO3Xy9n460CS765+hy/7 Yse837/Pe4Df56k0Kaxcnxc4r9yeK+7kmX/cydP/ugglZuw/b+T3/3RlQGAfW/21rZwFTzD92LOY 1ZM1vb9HGXNmEem44eZ5PDbHTkFZFYV53rlPQwZXuyBSf9VXXxPcV2BMIWe8gap95RTs0/u8pKyZ PPG4N3rBmKI90t26ZT35W9Q73Rb7r9GBtP8euoJ66Z74Au2o53HZEwJCQAhc3ASiPB6P54Ka6FIx 7eq/3nHZA7HD3arytmFITOoVue1sdIAxyR/v7W510EYCSeqdLN5PX/lxOXEbjD1f/KaOxRl76fLJ G+i3u9WJIdGI7Z1V5JW18dhLzw5tlidEoVZGFd4yOqmnQ9jtxNHcScLopJ7lCcmvdhW3TkNPTsHJ nMp2gwGD/+lS+lnHaQexiQHewXl8233y9iUK993txuF9kENScu/BaXAWpcPgq2O1jsrnGEeSEem4 Euo9FxvUjoJ1DXp7EO19IDxD9btd7kC9BJddPTew3/rxPlkwYyG//F5gobFPh9Pl1h4cYAzDX293 sfRXNz5ZfX5rjFT7ipDKpWbawrcBre0yADtaHTjcA0gXYsKA5avrKMJ1MuRrIMSWoez21T76k6ce 096Jsc86PnHiBMak0JeBBSR3OFtwdUDcqFGMiAkcD2y56HB2QOwoRvicnMDJAW05HaeZOHFi+LT9 tC3VL7tV36b+fP2GmnSOcFz1D2rCW/0ZfX2O0hypT4l0PJy1LvWQEPV0jHC/jW4cjW29+vPBtM9w Ks/3MZvNRoa6qSgfISAELnoCw/V6vfCOzEVflefWQLetgsKtzdxyQzac3s/6jZU4k6ez9ufzz9o5 OreWirRLiYB64eG619ZjsTuZu/KXfT7m+lLiImUdHIHPPvuMuJGjiYoK8gIGJ+KsUns83bjONDNh woSzkiOZzw+B4TowOj80RKoQuLgJDNfrVeaTz3O7arDXYt1n0V7WqFQZkrNZ+D1vmM551i3ihUAk ArWVZZoTkzFrsTgxkSDJ8X4JxMXF0+XuIHZEfL9pz0cCpVvZIB8hIASEgBC4NAnIjMylWe9SaiEg BITAWRPo6Ojg1KlTxBmTiI65sPfFurs6cTkdjBs3jhFDjUs7awIioC8Cw/UOb19lknNC4ItKYLhe r59PPMAXtRVIuYSAEBAClxAB5UCMGTNGcyg6O9pRoV7n+6N0KF3KiVG6xYk538RFvhAQAkLg4iVw YW+hXbwcxDIhIASEgBAYAoGRI0dqi+VbWlq19Srd3efXmYmOjtbCycbITMwQakuyCAEhIAS+WATE kfli1aeURggIASFwwQmoWZGxY//qgusVhUJACAgBIXBpE5DQsku7/qX0QkAICAEhIASEgBAQAkJg WBIQR2ZYVpsYLQSEgBAQAkJACAgBISAELm0C4shc2vUvpRcCQkAICAEhIASEgBAQAsOSgKyRGZbV JkYLASEw3AioRxVrC+Jd7ZzvBfGKjW9R/KhRifJkr+HWWMReISAEhIAQGBABcWQGhEkSCQEhIASG TuDMmTM0NTVhiDMSN3I0UVHnfzJcPaZYvTBSvedFPaZYPV1MPkJACAgBISAEvkgExJH5ItWmlEUI CIGLjoCaiVFOzIV+aaRylmJHxGsvqtScKINBZmYuutYhBgkBISAEhMDZEDj/twXPxjrJKwSEgBAY 5gRUOJmaibnQb773YVN6lX5lh3yEgBAQAkJACHyRCAxrR6bBWkH5btvQ6qO7AfM75dgaA9mtW0up tDn8B3T5dv/+xb4Rav8Ftfe0ldJ3KwnQG4p2N+Y312E53Tvv51q23uaEOeLG8s56irdWhzk3uEMX f1kHV55hmdrXP5yDsb/L1U6MYcTgMXS5aDndQsfgc/bKofQrOy7Fz6Cup3NY75ciaymzEBACQuBC ExjWjoz9w1JK39gytMGz005JWSlb/I6Lk70by1m/tdZfB/bdpZS+s9+/f3Fv9Lb/fNrrbrRTbQ+4 Lc7jeynfXEzt2Qz8Gqso3VlFUYU1xPQwZXM5sNV8jk5mqP7uWkrKKjFvNA+tPfpLHKas/nOycd4I hNanr3+oCbTxoepWC/uHsiamo6aYGXf8LTXOPjR3tfDhtr181o+3o/RfiAcM9GHp53Sqn+vpHNd7 aL/4ORX6klSrQjhPnDhBbW0tHo/nkmQghRYClyKBYe3IGAwGMBhJGErNqayAIYiAIRGM6mDwJ2NS 8N5Fva3bH1qA82Ny8dOryH834PSh6kIRPQv1tp27UGM2x/bt1IWYHVo31Rt/RN6aLbhD0l2o3V76 o7NZvnI5y/9jIUlnaURoWc9SnGQfAIFe9enrH+I+x2WEI+KAKxnRpwkneHrpIrYddw2glJdiEiPG RPTuKUzxz3W99+oXw+iUQ+eeQFdXFzabjY8//lj7VtvizJx7ziJRCFyMBPr8ifQb7LJR/FoZo6fN JzcnRT/cbafklTJSZi9keoaR6q3rKdlxiGZGMynrRuYvmEmKchK67RS/toXsexdhStaz2ncXs6Uh m0XfMEGjheL36pg0uoHtu2tIm7aIRXdk+FVrG43VFBeVYrU3kJA4gcxbZzN/WjagzG+mckcJe7da cMQlkXHNLF2uV4KjpoI3NppRv/MpqVnMun8hprE9xUfaG51uIjc9CyLq75nTYTPzxsYKjjfC6PHp 3DJnAdOz9GFtRDu6HVh3bmdvzXEaGp0YkzOZee88shWrSGwarax/fTOHTjYzInECOTfNZv4dusPl dtZi3rSLig/tJCSncPWsbzHX5K2zX8DcvAAAIABJREFUYHO76yh9w8yk69LYu6WC2kaYkDWV+x/K JU2rt0h2NVD+ZjGH3GCwmVn3+l7SbpjHdK/s4/sq2LvTTG1rAhMyJvOth3L1dhCsO+y2g+07bJpj ituK2epkfo4xbErru+vZbFUujI11rxdiTL2FhbNzlAtExZtvYLYeh8QUsq6fxcLZJk2G9d1ijo+e RMOe7dS401j0+CKc7xVTl2GCAxWYrfUkJKcyeU6gjdutZnZ9WE39yWZNnumOe7X6jKS/1rKL2pTb yLi5k4o3i6gbO52Fs1U71T+2Hesps09i8YPTMWhtqoT99jZGK72z5pMbpp7sO4rZbBvN/Idz8dVi 3e5iSmxpLHpwOr0Jual8ax3VxltY9A3FRH3cWN5ax6G0WSycloG/LbZCSnoOc+6fT452Teh5G7Lm +duM225m3bvNzHtkrl+/V6j+FbYtZuOwW9leuZfjnzXgdBvJvGkm87RrFhzWcsrq07iaajbv2E9b nKqrOd467CFds12Vpy+bbDuK2bjVSgMJTEjPZPa98/Xrp4/2EKwlbH3O0HsXp72K0t172WVzkDI+ g1kPLQrqPyK3t2D5fW47P6Vy+wfUfOZi7ISJZJtuJWuCcmACn08+3kv14Y9pictgxjfuYIKq9K4W Du06THuXTauX37+7lawbRsHITG64+rJA5gFsBfruEUxIz2HmvfPJSaaPdgLWd4qpy7oRw4ellFkb GD0+h3kPzeR0RTHlB46TkDyJW+5dpP02gOozzEyals3+jarfamNCzky+NWcSFUUb2W93aO3w3ofm k5Go+j075p27qLbX06za6F+buPf+6foNgkYL699rYEoOVGxW/XoCkzImMz+4n3HZKS/azP5Pmxlp NFDdStibC0Ot9/D9QkfYftH/exlcDxGuGcWp4s1if/+Vc9Mc5t/hvYa1cjdzi8lN6ZtmPiOBq+9Y QG56HcVF5TqHr93CovsDfYL/Ou/12+fA/NYbVBw4DobRpH/tFhb4+AbbOUy2lRPzxz/+UXNgXC4X bW1t2qxMZ2cnWVlZIaXo4k/791Lf1u093gWx4/mbG68kvkfKk3xU+QmX3XgjadSx+4M/kmK6ha8m x/RI1edOZx0f7TtNzo05IbKh7tBu/uhM4ZYbv8ogJPapTk4KgUuVQNB8RB8I4gzUH7RS+maFdsdc pXQf3UXFQQsNbgPWt1aQv7GS+rhJZCY3Y91ZwoqfFOtpnQ1U7qtirz+ECxpqKqkq26+F4DiP7ce8 vZT1mys57WzGESaMovzVfMwH7SSlZzLSVYv5XYvXjhGoQW9xUQXu1FQS6m1UlRVSXKPfp3dai3ly TQnWRpiUmoT9YCWFP8pnoAFJGbMXMTfHSGT9wczsvJJXjNUOkzJSabNZKPvwuJagLzvchzdTUFSO 1d7MCBxY91WQv6ZEm2kIy6bVwoofFlBZU8+EjEySWquprNEXlahJEffBcoq31JKakcJpWzXlhflY w92sddZj3mOmsLAYa2sSKYlOqveU8tOflGhsI9rlqueQpYY21QYaq7HW1HDIWu8F4aT8jRJqSGVC 3GlNXt5/D3DNiH07Va0wc/EiTAYwb6kKhhu07aT24CHqtRC2Bk2/ZV81ThwU//BJSnZaYfwkklx2 KjcXkrdV1baT/VvNlL6xnkrbaZwnHXSoYzvMlBTkU7LzOOlZqZy2WSktKKRa/ca5rKwpUIMKOx0G OH6wiuI1eVR3R9LvZP+WSiqsDUAC7mMWKjf/Joi9jY1FlVg/dWPQ6lC16dNMSE+lzW6ltHAF5T6M QaWNdddj3VNKudV3YTgxv2PGam2IMPllwPl/FqrKigO6XTUUbbdQ09CBvy3WJ5CZkYTtoJmCH63A qvF0U7vLQvmHgSvE3VCLZV8F9nAhgxHbopPNeQWUb7fS7B6B+6SViqJ8Smz6dVn74XbMGwsp2GjG kJ5JQqONys0F/vNBxdccmT5tspeTV2TGThKZqSOp3Wem6lNtXq+P9hCsIVJ9glrVYt1cTLkNJo0H W00Vhc/r16ZymiO3t2D5fWx3fcqqqX/H4yt/yUHbETaufJwH57wRtCZGOTRHePqRRZRWH+AXeY8z d+qP+USFkXWdovRny3n6uWepAWrK/pNfvPhjnl63Nyh/H7q9p6xvevtuJpCZmkT1vioauumnnXiv nTV5FO85o7Gx15jJ/9EK1m8/Tmp6CvU2K8Vr1qOuBlrtVOysoGBVAVXOkUwwNFO9s5gVP8zDrPpL xfagmTVvVGpWWcvWUFxmxt7YAe7jVG0vJm+T3o+oPrFyewn5BSUcN6QzKe60dn3k/9bbz7iqyfvB Kkr3WME4mo7GMBeVpmWI9R6pX2jrq1/0wtZYROq/VXtaofVfCemZpLTaMG8sYMVbepitXu5i8taU cCY1lRGNdiqL8liRtx6bIZUJ1GPdXsy63RrxQP2F+e2zv/sKxdv1fjI1uQ3L9gpqw/1GBJl9sW4q Z8XnxLS3t6OcGvX+JPW485aWljBmn+G47VPqTjs443DgcJzB0XKm9zXTdppPPjvOae2HroWTp09S 95czQBMf77VwsjOMaOCT/Xs5crJLP9l2kk+Of0q4lWktfznJyT+f/NwiCsJbL0eFwPAkMLAZGdKZ Oyud6i2VVJ6ez8yxYN2tBpo5TP9KLYVrGjBcM5+139Pvy1vfWkXBdjMVtnnMvSxMCJcWEmbQ5lN8 c/5TFz/PQlO4oBwHdWpclTGX5d+bGUJZ/aIbyF2ez9wMA7RaWLK0kP0f1jA/K4vy/zJD4lTyVy/U 71zXrOfRNZVU10O6d3YoRGCY3b70ByVvbUD9ZGbPWcxjs9ODTrj7tiNnIfkvLcTovQlr37SCVVtq sXdDqhauBcFsqjetQg1h5/3bWmamBqnB6e0Us1nyyhKyo8G5bx1LXq1i/1EnOaGzGwb9jnNwvVW+ +iTr9+2lpnUepkh2GeaxfHU+xUu/T1XOY+Q/rN8xdFr1tUQZc5az/BtqRs3BuqVPUnXAgvP+7DAz B8G2g+Vds96ecnJouCVF+3G1uqaT0/PmNGBk7vLnyXrzSfL3XE3+zxdqA3q3rQRzI0xZnM8ikz5P Ubz0UcwHq+GOqXojTJ7K8z/3hX45qdKi4bJZ/tISMqLBcU0hT75qwXLUSXZWDs+tXosh0RsrZy/h 0VUV2D4Nr185S4Y4X2iigZn3zqR0TQVl2+zkzE7HsW876rEUufdOp/q9n9JAEotfeh6TKl+3lSe/ W0CN1U5uas/pwrQZs0nfWE3VlioW5kyH1hqqGiFnwfQIjgxMv3cmJXkVVOypI2daGs7De3FgYP70 TCpezAdDDj9d+xhpysWzFrOkwMzmbTZyvpEK/jJ468cXMtizurS96vfKIrRFWLh6LQvjfHGGNlY8 mkdtTT1kpHsveQNzV64lV10qrZUsWboeS1UN8zJ8s0hBCvuwydmgByHmPrJcl+XN1nd7CL4+I9Sn y6INbgwZc8lfnquxtry+hMI9FqyueeR8uqWP9hYsP6gcIZsdn3xAKfDUb83ceznwszxtcX/gsQD6 6PK7r5j5x5tS4LGt3DDncTbsepSVMzJY+XszdNl48G++wd+vfZMHr+h1sYRoDNntrmbzzgYMWfNY +0Rw3+qm9EVz3+1Eu3ZM/HTtYq0dled9n1JbAgv/43mmjgX7u/ms2lyjOcAp3r7GeM188rXfCDv5 j66iOtHEsz9frM0oVeQ9SsmRahxMJWfBc6x90OBv36VPP0r5n9TVk+2PEcv+5nKWzPb2M99X/YwV 5z3Z1L9Xol1nM5/IZ16W6gecrF+6BEtI0SP1I/RT76a4CP1CQ07YfjFUbaRrxtdecxb8lMemaVcm JU8voWJ7Gbb7cvy/Bf7z9nIeXVWK8fqF5D8yFdCZausGbx7d529OSr32S8XiJx5jYC01tBQXx77b 7dZmYdSaGDUTo9aAKSdGfcaNG8dll0WemRybPYMZX+05B6NlVM7Hn9uJ6VJr47xzJQlfZcYd4xmZ nET78b388fhx2r90GfFjx5I0Kmg+pe0TjtQeh66xXJYwkSRiMMQYoLOJP9lOEpOYypcn6GOcr06Z wXhG+mdqmo7/iZPtMGrcRNKSQ+xqc9BuGEn7yeOcbO1iTPoVjPfF03c6OHmyiTOd8UyaNN5nMdBO 3bE6lOuVNDqN8X6ZXdTVfkILMYz/6y8zZoAjwIujxsUKIRCewICbccaMORi3FGKuqGbm/RPYu8eJ 8aZbSHG2cVoNQW+e7NeQc+ccjNsLaWhug8h9iT+9mvi/+qpwToxKksTk65Oo2lPy/9g7G7goq7T/ /3wZXkYY4YFMLPwnVmgPZqOrVtiKrJhCmy5qT2pru2Kmbvb4Vm4r7fYp3P6YL21oSya2sQH+F3TF DTQxxHRIMZmUeQS2HFxnFVbhAQcaXgad/+ec+75n7nmDQVFhvaaPcb+cc53rfM+5Z851znWuGy+/ cgJRM2di9pQI8UeuHVCMRwwzYtjHLxxqP0BrZjO/ZpjYn1YtfvfrMvAJlCZh4+6FahPgsSHTUflC sULZodwdo2RvEl4pjsCM/5qLGO6G14keg5XcdU2j06PWZEbt9ybAL0zmjmXPpr25DlCoMcHOiBH1 YO5ej0dxI4ZdUYaPgRIlMJtdTx+xq+onx1srMf7JUUhnM7Js9p27eFTAtV5m0WgSZtitAqDE1GjJ LVCFCWolSo47prGlth5d1+PgKRMQOhTmeiO8HgoHDmusA3FrOtlBu9CifGWItb7ZJKxY6P7f7/Da Z8y+bYeR1eNitbB6ZwaU6jH2Libs2tgYbsQw0aqwUVBAC5NJ4KVALbTFOlTXmnC1ju0HUiFE7DeO 5ctU44eK8KmI9CuAJu8gTNMTcGx/CTeqWV/VFzMDvBmZv3sN6WZmUBr56mS7gc2m2hsy6DsCcY8r kXq8ABWIwpAzbB+RChPHSo5mjiUDirCpGO9XgJL9GmDSbGiLtYDfeIwPMiPHBCgencgHnyynMiIO 4xVF0NZdBeCqUznLl6502Be9zajQlkBfUwvT1VreBmGDB4pZhec2ShpF+YUjXAFUNnvQV6TCxb/K B0ZAhRLkJr2M0kejMPP52YgIUnTaHxxd8ty1p3qqzWAMH6cGjmvZV0uX5TuozU+9hjwC5viyYcky YPnzGBE+HKMedPzCHI3IMWJbD5mA/74X+IwH2RDTtYpT6W2sT3XRkBG/u9WTJzioZ8bVzvoJf3Zs /Wjofb6AYZTV7W5wKOvHwoo0E86eqIhJ0ndNEAb7ARciJljdFUPuUwEGcXKrrwK1lVro9NUwma+i wgQow9jgXvooESX7nhnzqAIlZ67yMq7Wse/H8YjlRoyU3v3frrY7Q+z+e8Hd96KtfHfPjPD9pcTE sVI9lZg6U42C7ZW8LYQnU4mJj4v32aozM+2eFFxn2fcGZ8qL6vg3R/1oBHC8BEkvr0TE5BmY+7Mo BHex69hqdGeO2Mb+CxcuoLKyEuyY7YdhRkyfPn0waNAgPPTQQ7j33ntdKsdMj7Z2tk5ibzAY/34M X5yW785UCIZBsw5fHCrHw1ERqDoh9OkLJ4+gOigCM6NHimUYceSLb7jhgPNafGG4iKenDwKu1aHg rwVimtP4+/CJeHpMCMo1X0B3fSTmTI1A1dd/wzf/bAH6ALCcwchp8Yjwt6lurPoGX/wPG2WJn9M6 jJwyEyOvFmPPyYvSVXzzbQiefnYiVI1/R/6B04Iu4t1B//k0Jj3SgiN7j+Cy9DVbeprLYW6k9CEC vZmAx4YMAtWIDQNyjmlQHTWcz3DFTIoAFDq+smKWXE4ZDYX4g+SWjGOx7Xxw4O53WP3L97AyLAc5 +wr4cnvRqRnYujbWrXTrDfbADo7A5LEhYLM3wmcgxo9WCuVZE3Z84K58ab5ZyB2MhN+vx/C/5CD3 sBY5KetQOnMt1k4fLJTlRg/DoRQkZQvuA6pBwUC9CfCW83PFRn7fXnc7ncSZUPsUjmeORo4ZDFXn ejnKufFzo1ZYrYAhH2/9Ot8qqOJQEUyT5na4mmPfkxQIHzcZQxXSgIINgCJt+a19wFoEN3itZ0pb 4AizIR8rk3K5waYMDIYSbKAvTYNZcwirirZT2ZEKsc9GQJNZgvziEJwwsFWUWJsuGIwJk8ZAIdNp aCQblEguZDZR6ukxwPFcFJ0yYJSWuYTEcoPdlsLxSIWpU8JQspetoE5A6RkzguMmWsuWFcn3mbHV QLt+IxMnLgrKrjgeuuiL1/VIeTUZfBuTnwrBSle1kstRWlck5VfdHdvpxFfZgpCVmYMi5iZ3RsNX aIX1hU76g4sC5P1JeDIcnw95pq7Ll+eGcjT+kPE+0v78CTYkLhNuTXobhe/HwzaOaROsAL5MI6zV 2JmwcoXthHtwIjW6wrWQzvuJ9J3KyrLnJL9j1UQ2oeJ8X8pvRsHm15HDQ7UpETxIyffJOD15TIA4 +FYo2V2hH/K+YV0JFEqWqmnVw8WBnEBH7e7p94KLImSXXDwz/K7Z7un39XY0t8WvK15vs0DcHVPG x81vTnDfBKxfNRxZ2bncHW3dYa2wKt1LjBm2+nLx4kXodDrr7zozYDwxYjjm/kDD/xQg+3+EJlFw gyQE35yphmLIaMyMfBho1CH7wN8hOIn1A//PZyRmPgPs+bwcDzsYG2ySa9LMp1GY8wWuPRKDmEcC gOZysGFRyJinMXG4Cqf3Z+Pv/8sMkhD068vMKWE1p+WHFsBnGOb89EfMZ1TWT8RD3jkHYMKcWAxF Nb7IPobvz/wdEZPGICZoAgLYqlCzDtmfl+NCI9Dv5Gn84B2CmGcnIgBGrlMbrqOh7DQumyU5RhzJ +QIXqi4jInCQc5l0hQj0IgLy7+9O1Y6Mi0ROigZpnzJ/5AhEcncuIduF8gvAWNEt5CJzERA/4i+W zdAxo+K80fojJCXr7O+ISbOROGk2dLuTkHKwALomwd2js3xoDUbs9A6MHqcfcdc/e67KZ6s/dp++ wYh6fgminjciJ+k1FOQdhnH6XCGJSz2MSNvLBqZR2PKOMGCv+Gwlthy3k2p3YmZDZ3MZKpvQyWBW yCYND+yEyE4UCtsQ4Vwlm21iqw5GHPREL7sRpUxoFw+F1YrxWJs4B6rrbfDq64VzX3yA1MMalNTN RZR1kcK5beyvmBGsjuUGt70KzsaB/X3bmcRLd6gAZgRjyab1AmfulujsoGJfvk0OOwp+Kg5hmToU fMociMIQ95TdEBRjpsdCWr+yz8nOZJIHRyEqMBdF2Z/yoAwj5kkz2865pCuh0VOh2puKvTs+5W5l syNZSSIHA9tTpBYMm+sXxP0xUk5wQ1Y6O8cCJ7gx19z1RdPpw9yIiVyyBQu4m18FVr68RRJ5Q3/l g2onnQJHYO6vEjG3SYek1SkoOKRDzJOsGHf9wb0KMuruE1nvdF2+Nat4EPTIFLz+LvsHVB34LZ57 IwvnTfEYZR3DXoHROrapxaV/OUoQzr29bA5prlO4uMpXA4GKbyuBCGlmX5auk34iS9l9h0065Fea EPzUEqx/QdCJuYi62zEnFCw9tazv9geaLuDCdYgr03W44Gp/l4PGnra7R98LHXwvuntmBHXMOHfe hEjRDdhQyXY/3cTH5W+OIC84PArLE6Ng0uVgZUoBDuqMWDLWnVfETejQzVnZ6gszYs6cOWM1YlgR khHz8MMP8xWZDottB3yGjsZTDwegufkaBgSGAI3laLAA94UOF7L2Z6bLTX7ar6FvnwBEDBe4Dgoe gHNsPszBXAm6Jwj4exWy91zGsIgn8aOHA+wLbr+GfgOHQgjnE4Jhg/rhtJmtwAKXvzuBk7UNMLcK bvbMpfvy/wI+oUMhSWH1YF8h1VeYo5kZJ7KzcUIswaeVXaMPEejdBDzb7C/WURkRwzdiG/RG7lbG F7n9IjBhEGA8moK0IzpU6zXYso0tpYYicrQKUPryAZM2OxNavR4Fn7yFArbnxdNfDhiRuy0FucVa 6A0VOPcPNqMRBF/rD727BlBi/JPBwOV8JH2SjwqDAbojOUjelisM50QDi7kwVMjeR2K6zDawV8Bo XWHysPwmHVI3p0Ojq4BBfw4G5oYcGAxWe/d6+CKYLeuyzdDFWmj2p2HLUbYi4zi/aatj+GOjhP0n yWmcJ6tTymfCJllbKs+OmBVbdiQf+ppq6A6lYctBAxA2GWq/zvQSBg6m82XQ6bUoOtX5S0n1+7bg 5ZfXQSNbIeda1mt5fwidMhVhgSoEBwVDFaiC+unJUMKMAtk7ZeRtwwe25gvQVFZAc0QLPDSe+3sX JCchX8vaQIucbcnI7fAlHO45DQxi1lMtThRqoC3ORdJmxthm9zuW79JU6mszXlRPTbW6sIWPY648 BmxOEtpQrytCanKqnUEhryvz549hUdnqDTBChSjmfmIoQNLq15BeLHeFkNXHW42Zjyph1Bu4W9kE bgyKfbG+CJs/KYChpgI573/EN2RHstVVKKBki5WnMpGrrYBW6hMysfJDd31RMVBwIas8WQCtVoO0 N7dIJpQ8u4fHHetk0uUi5ZNc6CoNqKis4G6uA4MGQtnF/uBRe8o07qp8WVbb4aWvsCElD1WGi2hs uIhLBua+6AU/WzfjfXDZ7/fgkqkRJ3d9gGwAcybZm7/MhNm//xCXc6nO1QZnW5F2R37hGMOikx1N Q9ohLQx6HXK2p0BT01k/sZPSvSdKX+5cWVt5AhqtFvmfrENRk/zJ67i44Y+ygagBH72fgwpDBfK3 f8D3zNghlYnoart3/L3Q+feiu2dG6k+alM0oqDRAX5yDlIO1fJIrwnHCjOkv/n7JqiI77Og3B9Dt TkXaPg3/TawUf/uCA20TWjJBPeqQeVUwdzJXRszgwYN5hDLmVtbZhw3qfQIHIyBwEEKGhEAlq3o/ n5s2XwDIh1U2eQMG+IAv0TgoOGh0NOKnTMDQgGuoOl2Aby5ZZy5sKWUim1uF+99/dQCnz12GV+BQ PPgAmyQTBi3sbr++tgGWJM3Htx+gGIRJz/wUMVNiEDPtacSMG2Yrg46IQC8l4O773U11QhA3NQza PD2EgQ9LpsDsVcthYBFpMlPEmTMVZqxaJc6IjcDcqWFIOahFajKb0VYhamoENMXCYF1QoAM1rtfi gl4H3RkdJKej8fME2dyprYPl8BGz1iL2H+8g/3guthxns+KAMjQKV68DSmUwD/WpO5iOLQfVeO+j JRgapoTmTAFSNhdhyaatwkx8B+XLIZkvM39dDbSVklERjLmLhVUj93ooELt4NkqScpD/aSrfyK5+ KgLao2X8xZJC4Eh7NsqIBVjyVDVSj5YgNVmYp1SExbr9XbPPLddYiMpUeyYfyWcEsorQSKxdIaxe daSX2k+FMeNCoTlchJTkIiAwCqNeYLIdS+tvXXkzGS9xA6z6qhkIsn3JVvM9H0oseFzaMCHqGMj2 PqUj92QpjM9HOLVN+LjxwPEiZG1mM/3BGPj4ery6PBbvpOQjN3UL30TNDIDIx9kUmLQ3w77+rs6k GoQ98yLGn0xGSV46d6MMezwSwcc1KP3OCLVaBefy10lxK+zERsTFAEezECeGgWY32ebq5XEGpOTZ 2hCKMIxi2x38lE51ZSt/0uqOPnQi2MDGdP4CDE1G1FXWYMGTkl+9XdGIfDYK6WfyETpponVvkK0v 5iBJXPmLmLkSs8V9ZrH/FYOilAIe7Y5Ji5gchZrDrl8K664vssAcc8dqkXUqH6mnmHvfeKhRAt23 5wA1m2W39Qt7jV2dKdCRTjWGC9Ad10F3XPx2GDQeq34WxscS7vuD8yyIU3uqZzv1ZkE7sYd4j+ig vznLd1WztmuNKNy5Ftk7bXeXbtqHYdbFFfHL7cBvMePAb3miaW9mYMYDsi89r5F4893FWPrGWjzH 5Ny7BoUHfiFzTbPJdj5SYu5rC3Dud+koyU4Vv7sViJ1iRqT1u9NVP3EeRffvr7Q+66wc/o4vGUHp uZJ0cHpfV3+xT/QdgRfnqZGUqUV6KtvbFYbIsYDmVClMv5RWjRyl2fqTamwCZo99Czks+mNSAaAI RURYM8SAeVLx1r9dbffOvhccvxfHjw2zunSyQt09M2bvSGt/ytmcJOgXqMbKtTP4nJ9AXFZvhUKU a7smXwiyPeeOv31mXPhHJUoqWWRDoZjgsXOFYDlWKj3vgEUnY++GYXtibG7iwkpMSEgIN2KC+ORT 57oz06Llah2M9S1o4WB9MGhQCAL66FB1RouHpzyKmtLvcQ19nVdl2q+B/WduboGxvQUDAgNkaQRD wtzyA641Xofg9SeZEUwv+bFNz+pz3wODHsSEJ9pw+XMtfmjiW/RtCdAP15qFfZS4oOWrOgEj7sf1 //07MOA+TBg3Ehe+/oKn7wcVBgUA5f84g6oRgxBYfQZ1FmHnZcggFfDPy/je0IInH/ZB1dkqDHhY 5bBTSFYsHRKBXkKgj6WLb40SIveEY/1HQrQZeT3NTWxvQjMUfirnBZdWE4ymdvgGurgnF+Lm2Nxk BNsL3H+gCkrZ7ISb5PaXW5le7D9HX3wzjPXN8B2osr4Y01RvBJQqJ599T8tn+dm8HFtVcPq41QNg 7KwRstj3YWd1bDXBZFbwAQOLltXlT6sWr72aiuEvvoUlY4N5YASlFKFLJqwjvXhdFb5QucgnEyEc XjfDeJVxsRkxTmk6ueDUNk1GGM39oQq0HzgKbeB8vRPxrm+zNlMorP3DLpGb8u3SsMlTedvKb14X 9iOxWWFH9s51FSLyhb24HsvZSiOMSGfRmsYuwVbrAE8uHDBp07AyVYu5v98qc88T07SauAuZWeH4 TLCJPdZWzejv4jmwL8Emy2Vf5P1dwaO5uczXlYsd6STeYwaSY19gRXjcHzxsT0e1O5PP3jauVFn9 Ix2zo83UCOYZ4u3vDy/bBK5dujZTK5id6y+FN7S769mJyViH+++/32ViU5NJ/C5xeD476icuJXXf RXOrGQppv4sn34myotn3NZtW7HqcAAAgAElEQVQzCZa+hzvKfyPt3sH3Au8PnX0vdvD9bWo1g30h Kx2+12TV8/zQ3W+O+HsMhQoqVys+npfQYUpmfISF2a8gdpjBxU3pPTEsOhkLsSwNWZg7mWTE/Md/ /Ic1YpkLEbJLRhzZ+4Vtwzu70ycIMbOjgbPHUPA/4gq3wofFi0H40z/FyP7l2Pt5OR7k+2IacGRv gZC/3yA8HT/JOknERJUf2Qsd302vQMRTD6Ky+DKi4qO5m5fxbAEK/xmCmVMj8Pcje3HaHI45U+7D sX1foFqM2QGfEMT8lO1tsX2Mfz+CL05ftl5QBD2Mn0aPhvn8NzhwskqYxPQeAEVbG8KfnomR7eXI P6Sz2+wf9J8xiH7EB9pDB/B9vTQRocCwyJ/iR0PcfOlYS6SDu4VAdzyvd4KV54bM9Wrk7EhDwSkD wmYmYq1diOE7oTqVeVMEWrVY+WoqImThim9KHmW+ZQSqT+UiLTMfhqYwJH60lrvQ6fclITkPWL4p ka/Q2BduhnZ3GtIPamEKm4GPPAmMYS+AzrqRwKVLl+A9YCD69OlsdqIbC3UQZbFcR+sPVzFkyBCH O3RKBG4dge4YGFVUVOD777+3hliWNvZL7mSeGzEe1LO9BQ2NbQiQDGCXWVpgbGzDAH8WYNn5Y2w0 wstXBR/bYplzIocrLY3s3WYD7MM5i2mYAXTon4MQGx2ONrMCKuYiZv1cQ0szwN3GrNeEg2vtQD9z Ff72+TcIHPdTTHxAiNLGVnd+aPeCyt8+aptDdjq9Cwl0x/N6J7B5/KiZv9NwI0YZFoOlZMTcibbq 5jIVCGJ7IhwmYLu5EBJ30wTMKNnPjBglYpYstb73IezZRHz0rBvhreeQx4wYvxFYsriDQBdustPl 7iXg7e2Da+Y29Pe6cwMHVj7Tgz5EoDcRYC+1ZFHKpPDKTHf5xn7mTsbOu+3T3wcB1neuuJPq06ER oPJ34Y3hTpR43ce/Axeva9dx7Rrg09/HhXHUDz6yPT5cXL0Wew59Dx+/AWhr+gFmDMBQ0Yhh9/v5 quxWkTpRjW4TgR5PwPMVmR5fFVKQCBABItDzCLBIS1euXIG3UoW+/TyeO+q2ily/1o5Wk5G/JNDr RqKbdZsmJOhuI3AzM7xsX8zZs2e5y+MPP/yA6upq/s4Y9n4Yj6KT/ZvAvtZ4ARcaA6wv0+y0WuwF nOX/QJ2pBf0UKgwdOdL2As1OM1OCu5nAzTyvd5Lb7f9VvZO1pbKJABEgAreZADMeAgIC0NDQAIW3 Ev0UXrfFzYy5k7GVGHOriZdPRsxtbngq7qYIsP0wfH+ZUslfbsncItlG/2HDhnUeYvmmSu5Zmfv5 D8Uw24ulOleufwAeHBWABztPSSmIwL8FATJk/i2akSpBBIhATyYwYMAAPrPc2NjE96pcvy5EOLqV OrM3nTN3soB77gEZMbeSNMm+FQSYWxmLfmc0GuHv788DVQwcOBA+PuQieSt4k0wi0FsJkCHTW1uO 9CYCRKBXEWDGRFDQf/QqnUlZInCnCLC9Mey9MGwSgG3o9/PzI4P8TjUGlUsEejABMmR6cOOQakSA CBABIkAE7kYCDzzwwN1YbaozESACXSRw5+KBdlFRSk4EiAARIAJEgAgQASJABIgAEZAIkCEjkaC/ RIAIEAEiQASIABEgAkSACPQaAuRa1muaihQlAneGAAsfzDept7bgdmxSvzO1pFJvlIAUVMDfn/Yw 3ChDykcEiAARIAI3RoAMmRvjRrmIwF1BgL2/QQobfKffTn9XAO+FlZTCPLN35bAw02xzNn2IABEg AkSACNwOAmTI3A7KVAYR6IUE2EoMM2Lu1IsceyGyu1LlPn36or+XD3/ZJzd6FQqKLnVX9gSqNBEg AkTg9hOgPTK3nzmVSAR6BQHmTsZe4Hgn3kbfKwCRknYEWD9h/YX1G/oQASJABIgAEbgdBG6JIVN9 Khdpu4pgdFeD67Uo2pcP/Q383hkOpSPnVK07yd17vU6H3P0a9/XoSmnXa6HZl4Osz9KR/lk6cvbl Q1tZ3RUJHaeVmNYLyTptgw6kmWu0SP8kCxWirA6SenSrVleE3EM6mOWpOY90pGxLQcr2NOQe0cIk v+/m2KwvQPp+HXC9GrmfpKGg0m0vcyOhi5e7sw8A6D62JhTtyoK2m9rIFZXW1hb+FnpX94RrrWhs aHR/m+50iUBbYyMaG1u7lKfbErc1oq4b2rKfwgus39CHCBABIkAEiMDtIHALDBkzSvbmo+RwFsok Q6XVCH2lwVYfkwE5ebk42OVBaC0O7tWgILvAo0GvrcAbOzJdOIH8vVk4J9XjxsQIuXidC1B0tAQl RzUoyMtF6ua3sHJzgf0A/0bLkJjq2cDeRRu4lWuGoVIPo+xF4wZNDjTHi1DAZbnN6PENw8kc5Gcf Q7OUo16L5KXrkJ6nQaX+AvRnSpCfmYqVq1NgkOkhJbf9NWBrcg40xedgPq9B/vES5Bw6Z7t9C45u tg8YDXoYZMZG97Gtg/ZwEVKTs274WTDXG1BhcG8Iso39zG3I7edaBeZMzkKbXYJWHE5ZhoUL54v/ liHp4zxcslqprTicPB8vLJyPFSuW8X8Ln49CUp7eJqXhNDY8H4FxavZvDrJPXrTd6+jo2kXsXDjH QdYJvDltPg6cFw2Ea7U4kDxflB2BpF0nBP3bLmLnivlYkZwHq2l26Sskidd4Hdv0+OMKqV7S3zl4 4Z08Bwaiko2n8ea0OTjwvSfGSSv+8uMnEL2roqMaovH7Ezh51pOJnEbkvuHAogPJlVk/xbTJWba6 u0rboIfmSLnruorpWX+hgBCu4NE1IkAEiAARuBUEOhil3GhxCsSuSsTKtesR6SfIqMj+DZI3H7QN 2BWAAoDCu4tbdPQalLBp/XoNSupuVL8u5FNwLQVlu5DNZVImCsD45Ruw9aOP8NEf38OMcCVMlTnI 0llHeS6zenTRzxe+jClvUec2cCujMgtJmzdDbg6EPbMWa1clIkGtcputKzcUjKNCCaG1zcjdlgo9 FIha/Ba2bnoPW7Z+hOVTw4AmHTbv0LoVbdifiQoosWTVDCjCZiBx1Uqsf1HtNn233LipPqDDb5KS kXfRthbVfWxD8cqqKKC+CDk32H+y3kzClv3ylvecWN33J7Dz9x+hDgV4/+MsaMpsxkat5iuUYTim P/MMotX+yP1wLWZE/haXrjH53giOiEH0ExNgPPIVNMZgTPxJPEYFeQuFX7uIpMnzkV35Y7yzPQ2v T7uCDYufRq4nxkCrEce05aiotRkObZfKceBfp1FrYqZIKw7/Pgpv7jqNpZvS8P7aOOQmJ+D1PXqg 3YhjR05Ds2stNJcEVSq/+gi57JrWCC6xvRUnj5xG27AJiJ4Ug4lPTMLEJ2IQ/VCwS3CVe5Jw4F9h CB8q1s1lKttF73Ag3MvfdsHFUa1mLZbN/7xDY4Jlazu7G0kHyvGj/7zPhRTnS17e9wD3+qMjTdtq v8KKFUtRZW+5OgujK0SACBABIkAEbhMBzyyJeh3SM49h6LMJiAoVRuTVxTnIrR6OJbPEgeR1A7L+ mIeQZxMQUVsKTWUwhocFo3J/Ovbq2EBOj7RPUqEcPBELosEHtSZDCXKLT+CY3ojgQWGY+mIC1EHu a649VMSG6lDAjIICHaKej7Am1u5OR/UDo2A+dRAl+lr4DhqBuBcXQB0k6GvQFeHYyQrUXL4K+AVD PWUOosJtA/UK5rJ2pAxX4YUhoRGImTMXYaL0C6cKcOJoEc41+WJI2Bj8/MVYBIsmoLGyAJ9mF+FC KxA8OBxTn2dlWtVyPjC3C9f6qhC7eAHyV6fCbG6Hbn8WLgwcitrjh1FpDkHCigSEeQMVh7KQc6QU zRiIweFjMHteLELEspmbUtbug7hQDwxQ1Nq5wF09b2sDgUAtCj7LQpHuAqAYiND/nIifPGzCgfwy rs/BHWkoVYZgxguxCG46h2PF5zD5gVAoxZGNjc9ADA2fgLnzYkQGtcj/rAgh44ajIi8PpZebERwa jrjnFyDCFYcmHY4ZAOXjCZg7NsTKJ2LWckR9uxJFp/JQcV2NEU4mdjX27tVD8egCqAMBXL+KsmIN Bk4ZjmA/BVCvRfoXtRgfARTsZe3hi6FhYzBX3la6AqTtLcKlJmDgoFBMiJuHmIeuImvHQYyYkyDI BWAozsLB2hFIeFYyksyoKMzFsVMlXO6IJ2ciYbrY9+oNKDp6DBWGGlxtAoL/jxpzno+Cqk6L9F15 3Hg/dzANacVKjJm1AGrYszXq8pFXE4JRqMBe1s7ewQgfG4cFknwA1boC5OSdwFUzMCAwGKHhExA7 RQ1leAzGK4qg2VuEBRGxVpbyA9f9vg35n2WhzAwo9EVI++QEQsbNRmyE6wG5XB47bjz5AaYt3o7I aT/mt9pq9mDFgkYUahdDGoaHT/0F5sSzJ2gupo+7D9OWbkdh5Wt44RF/jIr7BUYBCPpyO9qm/gIL n5eeNKDxbB5yAWzI+xCThwAYl4NGbRSSdn+LGWsnOKpify5+m3nJR+Pyk8ZvkbYHmLHpCyyMZgP8 Cfjwygkse+dz1D0TA+nb4C9f6THt+XtQ+KfTgnwlM7/Av7TYGH7Gz1/FnM5eOt5WjuT3yxH5ZjKG ednUZIZV4VcncKnVG0PuDcOjP56AIUrb/VpjOU4Wfouyc0YMeTwG00YJhkjj+dM4U9OCSxdY2jwU Hh8J/1Zg2Dj7/IKkVuzfuBFQJyP6ARkM00VoDn+FykutCBpyP0aon0L4EOk+U/IKTp88hMpv9fAO nYAZ00aDq96gx8nTV9BUzVbNapFb8BUm+wGqsAkID5Xy2+pAR0SACBABIkAEbhcBp+Giy4KVQNkZ LXL2lYi3jcjfXQDtwXRoRbcr0+mDKDqjBZQKGL4tQMnhCjTDhHNnylDD09RCV1kJ7akK7grDfiB1 e7OQrweGDgL0lSVIfS/HtmrjqMh1PfJOmRA8NQGzxypQe/gwbDtMTHxQm7s9FfmVRgQHDoSByftN MnRsKrVVh80pbBBvQJsCuHCmBFmbk1EhujHpPluHLdka1GAIhg9WoeJUCWqtLk4m5H+ag0oMxhDv OlQcz0XyXwT3D5MuC69tzoGuHhg6WAXDGQ1Sf7MFMic6x1oACpvtaPqujNfXfL0ZpYeKkPtpOjT6 OpguG/mMq24X06sIdRiCwX7N0B3NxVvvFXCZZn0uXvldKjRnajAg0Au1l+1dhGxtwJIbkfXrdcg5 qgMGDcdgv6vQHqtAfVUlKmuYw5cZ+jM66LRCW5kulHLXslpxIUHQQ4Ma76EYHngVuqM5WPc70aWp yYCCowVI3ZyKossKDA/1hf6MBinvu25LVmemqXpcuAMbJdT/yQbSV9HsaoGqrhI6tqI1STQuTAbu WlZWKzismZjhdjgHW1JycEERiqHeddAdz8WWv0ptlY7XUnJQUQMMDxuMq5VaVNS0AaZaaE6V4ITM ja62UoOSvFKZYWhG0d581CiCMdBsQMneFCTtE1yhdHmbkZVXBEN9G2C+wF0qk3dXwFR7DtryGl5H Y6UOFay8ahMc2Z47eRhF2alIyS6CInQ4fOv10OxNQY5egK/fl4y3UnKguwwMDByAS+VaFGSno5I/ U8GInBgMGEqtfdkOqrt+31yDMm0ld/Uz11fw57JMJ+hql9/NyaWzR4HwZLz/7jpEhsfh9TezcfKE zYjh2VptqyJBg+93IalVWFWQpWOJLpUeATAaQ6w2lT/8AwBoyzt2e5KV0NZoRKNJ2G9SW2t1FEOb QY9KAOFDrcIRfA8zFI5y1zfWL2csi0fZnw7h0vmvsPNfcUhcNhoQV2hYEex7q0qvB9/P0tDI9wi1 8ZUmmQIszecpKMNoLJ1mM9JwKQ+RcXPw5p8KUFVxFG++kYAZGaKxxGQPBup2rsWyDbtR9fVGvLng aSQdEFa6akt3Y8Vba7FhD3MrK8f772/EOyvW4uQlG2dJg7bzeUjSAq//ZopgiLAbbKUr8mmsSPwI Z/TlyE5cgRfiPrWt7HgNBP61HcsWJ6FSfwQb3piPSNFlrq32W7y5Yi2Sk/fwIgr/nII/vLsMn3nq 8icpRn+JABEgAkSACHQzAduouiPB3hGIC1cg68wx6BGJsJpjKOEDKRMOFuqhfjYM2mItEBiF8UGA nrsSKdAfSsxY+x7CP3sNW46Pwpb/u4C7lKFVy39AmXvQlrWx/Jr2k5VIPa6FrnU21C4m+YzagzBA gbnRakRdjkTWqSIU6UyYGyFMZwoeQGq8tWkJ2Dx/bXEq1n2qxYmzJkSoI7Bh01Yo2Mw9+xhy8HJS AfQXgRH3VWDv0Voowmdj66oYOwom0VIKi1uLtc+yAYkRaatfQ8m3WpieH478/1cE+EViy6YF4FpU puPlzRo+WA4dbCeKnzDYbM9EdbASeu0x5OzVAAjGhHB/lDHVAiPx3v9dIMwMX69A0uFaqB5fgvd+ KQzeKxjHozoYEIXSzHwAYVj+wVpEMF6tWqx8NdVaqODOxdoAMOsPoqgeiJiTiOVTQq1p2MH4CKaz Fss3bRHkADBJ7lQswfUK7D1cC8Wjc7H1V1E8r25XElIOsz00szHjPmF1TRE+A1tXCasC2u0rkXpK i8rW2VaZUqEKpdBedXXMWpFNRQMYGhEOHHbtWmaqZlPRSox6QMwjuSdaBQttO2LmWqycLrbVK6yt dDDNYm2lARQRSNy6HHYEWlmvklzyBGFydpL4ETMTsXI6y1mN1FfegvbIMZieDUPEvA3Y+gJbJRQ+ uW++jPzv9VDOmo0tH4zAa0tTMGL5FiRECClMOl6aJBYcNRSYkbgVsUx8kwYrV6dDW1KJ2Q8okcn2 joTGYEvibE7LrEvHKyk2RgKzEtRdZf3HKlY48HbT72sjsHbTFmStfgUlEcux5Ze2lU0HCS5Pvfy9 gMpMHDhwBRUNbdztyotP3duSV9ZcRKPpfrTV6fGXt38LYCTCQ6X1Gls6xyNhAWUgwBYuuUxvjPhJ MLDbu0O3J0kOW1XRfJiA6A+lK7K/DjqyO8HDJwEo4EWx1Zbwx2dh4e75mPEzIHxFGh4N/lQmAPzZ zF79LLLlV5dl4+RLI21Xrumx852vEL4iA+GyLl71VSY30v6Sl4Fh/YB33m1FXYMtWxuzpMJfxYFd i8EWM6clR2HFGx9hYczbGBb/Nk7GA1W75uC5P8Vj3665NiPFJoK7zxV+9Fvg3jWY9qDti7St6iu+ 0vX6X4uE1aR3k9FY12iT0cY60Gh8eCgD44KApdPWY8aKtShMiMO0B+NxQBuPtvNZiPzZHvwhPRvh LljaqUEnRIAIEAEiQARuAwHPDBk24J08HlmVGpzQm9BWfBgIVCMyUAfNwcMwPuuLkjNmhM6c6DA0 FWrQzkcl4DPA0oCP3VFPjbIOAMPHqYHjWrY4IPpx2Nf+2H42eAvDwFYjapVD+WBUc7AEcyOEwbXZ DCjHTuBGDMsZPHYiVJ9qYeQjPCUUqIW2WIfqWhOu1rF9ASqEsIGfqRlsu416sju3FSWmRkuzqipM UCtRcpwpaYaJ/WnV4ne/LhNq2CSsilyoNgGDZSMYsSrst79ibwre2ite8AvD3BWroPYzczcfpXqM 1b2F6cWGFs26TLz2azYAAprrmfx21DaZcbUeUDw+1c5QcNeYZhOTpMTEx+2G8FwmrwOrjRvuEp+I J8eISgMRz8RBeTgVtVebgfuEMSdrS+kzfGw4cKrSpUyzWVhuUamc+Uj5Xf2tqWSGzGAM7DCbElGy thrzqAIlZ66inbWVCVCMnWhvxLgqyOU1JaKektiFYOLjSmiPiwn7KlBbqYVOXw2T+SoqTIAyTHSZ M5mFfmFmq0byni8vpB1QjEeUJN4vHOEKoLLZDJiu8r45Pi7W+lyxZpJ/lPcNhxIalJ03IjJQco6y pXDb72EWVz8dJdryujsaNm0D/vvkfLz5xkaeJFpdgP/elIwXRPZerI12rUD0LklCMBa+m4xxndsx UgZ4yTqzl9c91uudHfAnMD4ZB5b/GLgGGHVZeG7FB3bZ5GNw7wHyMwD+YYieFYydH9ZiTvRj8D5p n5fJX/j+PrwwWgW+EsNWlPxtKzysoEtH/oQDCMaH8aPtyr3vUTZRshFLV3+AFT+bgPCHHsGwITIo JiB85hRuxLCM4376C2BXHupaYed+xu6xdRgHzYWyLh3FmweApdtnWd382A2vIY+ArYFuWLIMWP48 RoQPx6gH5ftn2oB74zFadAcdMu4ZhCMLl1gkM0lH0SvWZmQKRdL/iQARIAJEgAjcKQKy4ULHKihH s0GgBqVsL8cZI8LmzMbcUCU0mzXYuw+oYKslLgbKcqnywoTfROmXUZ7KxXG9Foe5v5Yeqb97zZag sgC61ii7wbztpnTUDrMhHyuTcvnATRkYDCU3EdjWeNn4UubyJeXs9C8bAw6OwOSxITBzS4DlGIjx o12PttmMb1jccix9ajD6KwZCKa0QiUNKYeQvliqOewdHTMCYwQrbLeVwqP0AtrOFrxxYlXQ3UGYJ 2L3+7sfSVhkuDhTCiovZ6mrHCxY37svSS3t/WEneruvPUisHDuSZamuY+WifTv+tsF9HJtV6eNVY x1dUpL1J1huOBzKDTKHk4Q+sutrWTRwzOZ7Le6rjPXYu3TejYPPryKkUVpeCByn5PhmxZ90Ybyit +5Ksto+saWWHgmLKgVwbp+vMOO2o37uqlqfXlPfhhXeL8MKaE3hhyqeIXgj8YfWzCN53CtNCgTYT ELTwQ2QnqMGWXr39/eHVzzPhwj7yq2izrsi04syRciCg1f3g3UH0qIdGIihAMBD875MZCoJwNIp/ WbaLZ5irppfVxaq13Qvh8clY2FKL6FBv1Gpkidkmembr3HMf/ANsqx32xV/EZ6v3AM+nORluXo/M xV82eWPnZ3vw5ortPFvk2my8/7xsNcfB1Y4lcmWwuCtd8+cVABZjhqPVqByNP2S8j7Q/f4INicsE lSe9jcL34+0MHltdhFJdlW1LQ0dEgAgQASJABO4sAWlE1rkWfcMweawS6adKYIQKSx4PhsJvMiIU GmjySoBBURjv6NriINXVYMshictTw9GDvMy5iWsxRgm09fWCWZ+Ht7YX4fDxakRMEgbHop8Ol2E+ X8H3OIwYHATdIRbiOBhLNq3nRgC4C5jonmMWhqUV31YCEdLmbpdquL7YGozY6a43WjtmYGOz4LAw qALtB/CO6fi5NFGuGoNY7iolTyWs/Jgq2cqS6BZ0+YJsT4c8LV884m5xZWdNUKtdld2BkSPqcaH8 AjBWLOuiwNahFM9OQ8dgBPJRkbcXhukyN6/WCuQdNXL3uuFitDu5wNDwcOC4jofCZoacZx97Q9lU WQoTIuzNJ7F+NkPNjIrzRodVwf4s6Jr4MaOChQ1nI8kmHfIrTQh+agnWvyD0nazVL0PaSSblkO+L sl7z5EDsm3q2GhUxgueoMTB/R9ljWy+0+8CBVvPJKrnDfi+lEnzbpDPP/rI9IcwwCVDBK3wKFi6f gGM7v8KlhjYgVBj6Bqvugb/S39FWtZPPU3rbD8mDQx4B8C2M8n0nzE4cdr+bAbedSH7S5sIYYDe8 7hVWINp+YOaIWC7fYjIcUtA0tLUBQROwdLkg11WgY+8ORveNJ3dzt7MNi1yt8HpjWPRcvMP+oREH 3nkCb/7pBBqfH2mtW61ReLZZ6Y1XhP0x9qYU4y7o5vT/hhN4Zxcw4/1Z1lUdeZqgR6bg9XfZP6Dq wG/x3BtZOG+Kxyjet72AfzXajMXmi3w/0TS5AH7sBXn8BKfbdIEIEAEiQASIwG0k4Nlmf1Eh9ZPi QD9sqmAQIBQxbLMxW2kYN8F+gCirBF+sMF+AprICGg9ffGjLbsTBI2yfwGREhQZDFRSM4EAVQsbG YbwC0O0vEt6joQBMusPQ6qth0BXgrc1spjUMkx9RYmAQ85eoxYlCDbTFuUjazPamiINBv3CMCQSM R9OQdkgLg16HnO0p0HS691mJ8U8GA5fzkfRJPioMBuiO5CB5W27H7/WQrVzY6ujiyC8CEwYBhoOb Bb0MehTtTkHKPrZ5XYVRzPn+cj627NZAr9cidRuL9eT6o3xoFHdZ06RuRr62AnpdEVK3ZQnBEnjj GFF2SgdtcZHzS0pFPYxHU5B2RIdqvQZbtjG2oYgc7ezK5FoD+dVQzJ4ZBph1SPp1Coq0FajQFiB5 9Raw7fOR/zXT5l4ny6bkrmgm1IrBJWS3PDhUYgwLJV2vwfpP8qHnLFORXlwNKH15v9VmZ0Kr16Pg k7dQwFb/JKtb5HPsc8a5Arnb30LBZSBs0kQolb58wFhbeQIarRb5n6xDUZO1ZwlukmxXzbclqNBq oNULbnUeKCwk8QvFCAVQe/AjZBXrUHEqFx/slb1vhZmnF5nLnQrD75MUtknvsN+L7p6m82XQ6bUo OmUv1ybF+ahy53y8kJyHsrN6XKrcjexPP+ArhEOCZKsfztmsV6rKTuDkyaMoawAqjx/CyZMnUHZe 2JQfNC4eo1COZf+9HVUNjTi567fYUAksjHdlGFhFenYQpMbr4cAfFy+B5nwjLp3MwnPvn0bQwjgM 6XDFSFgNYoUwG2b/YUHnk8dP4OTxr2TvdWlE7pvbgWnvY7KLiH3M5eyPe07gUl0jGuuu4FKVYAxK phxzyavbmYDssotovHQC76/IAtS/sNtnwzWo/ByFZXpcOn8RjTKDryx7I+oQj4UT5S5jIppLX2FD Sh6qDBfR2HARlwxsEsQLflabmE0GfYANu06jsfEicjeylZ0fI/JBxzY9jQMFJ3DJoEddo3OgAWtD XK/AlldexrpPbPu5rPfogAgQASJABIhANxGw/ox5Ik8ZIbiXhcRFWpOPeDoGOJyFCZHSPhJmI/S3 TniyhOHjxgPHi5C1eQvf3D5QPVsyI6xyhAMX6tSc4JHRxs+b6JBWhclTw3h0qcqmGcK4s16H1GQW 24oNREMxd+0qhDFT7QYsxR4AACAASURBVJkXMf5kMkry0sF32jweieDjGpR+Z4RarcLc1xbg3O/S UZKdKs6mKxA7RVoScdTJVrcRs9Yi9h/vIJ9FxzouGBLK0ChcvQ4oXZiITJLCYxc2BWavWg5DUopM LyDsKYGD+sXlUOuTeeS4ioOsuhEIa9JJTmr2beCnxqrFkVi/XYPc1C180y8UIxDVCoQ8NAGhKIHm 0xQw8y5y+XjM5bP0Ur1lemSmiHxUmLFqlTVEspTSvoHkVxkz20A7dPpaLDenIDVPh6xUsb2gQszi VZjt5t01gjGmQanWgBi+6V4IZOC+THbH1lYR81Yh6vx6FLGoc2JbhcVNBfqOwNypYUg5qEVqMusd KkRNjYCmWNj7owoZjmBFCbSs7+QJpY2YugSv8OAPwIvz1EjK1CI9VQv4hSFyLKA5VQrTL9VQ+g1H ZChQcDQLW44CqqcG4vfjGAdHNva1sJ0FY8Gq2dAn56Do0xSw4OPKQBZq2pai9IgWUEQiXBoN224h rJN+P2ZcKDSHi5CSXCQE6hgb5nYyQiYWQyb/EiN+/xEW7irnlzdkAYnbv8A0Fi65008rvlmfwI0T nvRfH2DZESBoWQYOvDQaUI7EHzLexpz5v8Vzk4X9KdPWpmGpo6uUy3K8BSPY3xmGP49G4I05H2eg cs58rPjZE4KESeuQsWwCcK3cpQsXNxyGqKT1G2FC4MO1EJ2zBBn3rkHhgV/A++zn+MO/gHdefsql dq3NLAjARux8R7r9Y2z4a5xTuRsWPI0NPEkcdm62vz/s2Xew8OBCvLngWZ5iacbXWPiIP2A6jS0f liMyKdmlUdZ2rRGFO9cie6dUNrB00z5baGhxlYm9LPRAMksTjMR0+9DRXg8+g3cWCtHWmJigZdk4 IA9yYBMNmJtxyQwY9edghto6LyBPQsdEgAgQASJABG6WQB+LxWLpihBzkwkKP6ufDc/q6pqTzCYj jOb+nrlVOWXu7IIJ6atXoiR8AbYsGg+zyQylg45cQqsZZoVCfGmks0wTqxu7Lxt0O6dycYXJ5f/J 9je4SHajl8xNzKhi0QyUTrqb6mvRDqVnXK+zTe9m5zpeN8F4tR2+A1VO8uU6Mz3MaIbCT9U9AxOm D6uaqRmKwM5kmpGf9Apya8bjva0JLldt5Lq6O2Z9lfcBx37QaoLR1A5fN3qYW018nxKLuia8dNS+ BHOr2dZv2H4imSFrrDOiv5/KtvfFPqtHZ9Izpt+XhOS8Ziz/YD0ioMNrr6ZgYNxaJIqGlUthHfR7 U70R7QpfqKz7tWwS/vnPf0KpcrG0ICUxncYL8Sew88Bip8G4lOSG/7a18n0yrdcAf8kwaWtFY6uT o5W1CG+lp3txWtHI3ODg1cFeF6tYDw9akfv8WCThbWh2xXfIg4VuZmsZ/v6Oqx1iUazurJ5sb5GH pfNoZsle+MuJDJtx4iJvm6kRTLT7fUutaGMvD+3vD8dIdC7EubxkMtbh/vvvB9gzo3D9vLjMSBf/ 7Qjo9Z6v9P7bVZ4qRAR6IYGwMNmiRC/RXz417JHKjkYMy+TqmpMwP9UNDz6dZLm7wH80FbYwy47p vDve7u3S+HGU4eqcy+1Ytqtsnl4TwkbbVjTk+VjwAo8/fRWyAAOyXH2ZISQ7d3PI9OjWWjJ92OS5 R4ajAjFzopC7uQhph6ZipUMYaTcqO11mfdUlSW8lVM4T+db8Cm8lFB3el0mVGTFMgCroRlzwhKLN +gKkHrqKieNGAHWlSM8z8NUTtgKj2Z4GI4KR8HQnXzwd9Huli0hnUqX79u0Li+U6+vRxqJCUoL8X j7rlNoKWlO5G/np584G0fCBf+enTeOFDV7tWhAIWpn+NpaPcGAd2Onh3owEjCfbG9I+/RnS/zo0P r84MFF73DjqbVKTs77Bnd6IwzgssMnZHHy9m7NnPQzkk94aX9BZchzuenLL+wvoN/7BnxpNMlObf lkBvHBT92zYGVYwI/JsS6LIh01M5MJebgb70s9lT26c79FKEz8XcRzXI2n8MpilzPXKD6o5y76SM WsM56E5poTslvAhVETgCC341A4pWHfaeMiFi3usY0bUxr8fV8fb2wTVzG/p7+bjO4zUS7+yURdxy narbroY/n4Pcaa1CoAFHqWzl5l5PjBjHjN133qmB0n1FOUtS+lsDBjjfvH1XWH9h/YY+RIAIEAEi QARuB4Euu5bdDqWoDCLQEQEWYcyVe1dHef4t77WaPVzNurHat7W14cqVK/BWqtC337/NnMeNwaBc nRK4fq0drSYj7rnnHnjdqF9ap6VQAiJABIgAESACNgJkyNhY0BERIAIOBH744Qc0NDSAudb1U3i5 dzNzyEendw8B5k7GVmLYPrKAgAAMGDDg7qk81ZQIEAEiQATuKAEyZO4ofiqcCPR8AmxlprGxCa2t Lbh+Xf5m1J6vO2l46wmwPTHMnczf349WYm49biqBCBABIkAEZATIkJHBoEMiQASIABEgAkSACBAB IkAEegcBN+GIeofypCURIAJEgAgQASJABIgAESACdycBMmTuznanWhMBIkAEiAARIAJEgAgQgV5N gAyZXt18pDwRIAJEgAgQASJABIgAEbg7CZAhc3e2O9WaCBABIkAEiAARIAJEgAj0agJkyPTq5iPl iQARIAJEgAgQASJABIjA3UmADJm7s92p1kSACBABIkAEiAARIAJEoFcTIEOmVzcfKU8EiAARIAJE gAgQASJABO5OAmTI3J3tTrUmAkSACBABIkAEiAARIAK9mgAZMr26+Uh5IkAEiAARIAJEgAgQASJw dxIgQ+bubHeqNREgAkSACBABIkAEiAAR6NUEyJDp1c1HyhMBIkAEiAARIAJEgAgQgbuTABkyd2e7 U62JABEgAkSACBABIkAEiECvJkCGTK9uPlKeCBABIkAEiAARIAJEgAjcnQTIkLk7251qTQSIABEg AkSACBABIkAEejUBMmR6dfOR8kSACBABIkAEiAARIAJE4O4kQIbM3dnuVGsiQASIABEgAkSACBAB ItCrCZAh06ubj5QnAkSACBABIkAEiAARIAJ3JwEyZO7OdqdaEwEiQASIABEgAkSACBCBXk2ADJle 3XykPBEgAkSACBABIkAEiAARuDsJkCFzd7Y71ZoIEAEiQASIABEgAkSACPRqAmTI9OrmI+WJABEg AkSACBABIkAEiMDdSYAMmbuz3anWRIAIEAEiQASIABEgAkSgVxMgQ6ZXNx8pTwSIABEgAkSACBAB IkAE7k4CZMjcne1OtSYCRIAIEAEiQASIABEgAr2aABkyvbr5SHkiQASIABEgAkSACBABInB3EiBD 5u5sd6o1ESACRIAIEAEiQASIABHo1QTIkOnVzUfKEwEiQASIABEgAkSACBCBu5NA/y5Vu6UFLS4z +MDHx+WN3nXRXf36+8Cna6R6V727QduG76uA+4ch4E73A9aGt7K92lvQ0NQC8L7C+r0PAvx8AOof 3dCLSAQRIAJEgAgQASJABDwn0IUVmRZkxvvC19fVvz7I/N61ieO5Knc4ZUs54lzWzRe+ikUob7/D +vXk4tvLkfBQGKL/XH6HtRT7qCIRVbekvVqQ+awvAgMDERgSgpCQQAQG+qKPog/WpBSi4Q7Xnoon AkSACBABIkAEiMDdRKBr88h+DE0s1r39JHxllJrrmzFYdt6TDmt0hdj91yrEvpGAYR3Vtj8QwhSf noCkJ4bJqtCM+uYQ3KmFBo/1l2ns8rClBoXZu1E1OBYJMfL6uUzdpYsNR/dgD8uxeA9qXlp3Z/sC 76PlaGCGTEft3aUayhJz+fHYkTkLaKpHQ1Uh1ry7B5te/Qk2le1G8/b4O9ZXZFp26bDb+liXSqXE RIAIEAEiQASIABG4OQJ9LBaLxTMRLch8zhfzmzJgyZ/nWZYekCoztg/m74/HWfNujOxoYNtejlmK R4D0s9j985E9QHNBBY/170zjikz0GTkfselnkdet9WtB5mJfzP9YUCCjrBnzIu6U2Sf20WwP2rsz Xi7vu3kGagoxK+Qn3Jj7stqC6J5q1busE9BtfcyNfLpMBIgAESACRIAIEIFbQaALrmW24jtyIvv6 40QsWrwGe3TyVA3IfGcNv174TwDtNcj8zRrs+UaL/JQ1iFOPwRj1GMQt3gRtjTwfS9uA/JREfp+n eW4Rtv1Na1MGQOF7a7ApqxCFf04UZMWuR3mNFptWxWH+fpa0CpteT0TiqkQUduIC1+JQvLygqoJt Qt0qHBK1V2HbqkVY816+dQ9R+d+2YZZUr9hZWPPeHmGVQBTIdF7/Vy3Kj2di0XNxQv1jZyHx40JB Rm3H+lcdzsSiWIHbmNg4LFq1HoU6185N2r9uQ9zI+bzk6qxNSPzNGqx5TyyHXW0ox7ZVs0TGcZi1 OBH537qWJefBj2uLsfFjQD0nHmoA8zOLnZJo/5yITX/VQsuYxAp1HRO7CJnf1NilrfomH5veScSa xYt4ulmL1yDzcJVdGnZizzYOi36zDVo7dVug3Z+JRCvXOCSmyOorSrSX49xGTgXLLtj1gMHRSEqP 53eralvQ8L0Wme+tx5pVizDruTjMem4R1v/ZvnyXfVZyh2tvQOHH6zmDuFjWHouw5jfrkS+1L+tv ixch7bA9v5aKfKx5bo19HxefH+EZi0Pcc4t4W3BlO+ljsurSIREgAkSACBABIkAEeh4BtiLj2afZ kjEHFkzP6DB59b51bIXHAqyz6M1C0rPpCcK1lzIszexS81lLPE/D0jn+U1uK66Uiqi0bH5Puqy3x c9TW9PHbS8VEol52clZbqnUZ1rTyMraWcQ2kAmx/zYJO8elnbdccjqx1W5lnd6f+6428LPXbxfx6 8YZYa9nqx2w6Y2WeUH+Lo872dUsqrLdYyjvQvzrPJn96rEUt1n0dy+f0cSxL5PnYDkGXK19aYiV2 j8VaYq28YdmhdcNKVsbZTKFtM8r1Qv9AvOWsXbZmS8Z0qQ2d/278WtS5udRaD9ZeUp3Y8W6DrcAv 37bxjJXV/csrLI1jXdWW2Om29OsOVlsFdd5G1qSyA1H+dLEfy+7sfkmoW0ZZvWWHxJPVQ8YzYY9e zOGoJ8u72lLNnpfGs5YEWX65/rEfiH1efH5it9v31bPb43m/2GHt4/Lnx16X1UyXjvqYrG50SASI ABEgAkSACBCBnkgAnislDb7YoDte9i/WEvvGbnGAzqQ1W6RBnXpDqaX5ypfioDveUioNcEWjgQ1S t34tDS7rLRniYDAhUxjw1RcmCXmnbxUGeRaLpb5MGuBL8iS9YFmXWWqxmC2W5kapoHrr4LqUjZdF w8plnSWdHouV1S3eEj9dbVm3RxwwmqVBZqzM2LLVN48NuK98KQzCH0uynG0US2o8a1nNB6exIgOb zuo3dlvqJYNvj2AEqt/+UszoWv9mkQEfjEopDXqrHFf1q9fu4CytBqBYZrFoGMRvkMq0WM5mrha5 Ow/Y7WXXi4bmOgtrxeo9Qj65wSA3LuI/EAw9JqM0XSxjzm6ryNKDX1rOXpHazmI5u09of2s9JbaI teR9J6VrtlR/J/UhGdeVGVYe1aIc9RtiHSU5HbaRVS3ZgSjfwZivLhQMWYhGXPXJLy3F5dXW/tZc nif0iZekutr0dOyzpaIRrJbpb6kv5cZmvGS4iH3VyZARJwwkQ0Z6fmLfzrOykPoOpouGrMV1H5NV mg6JABEgAkSACBABItAjCdyAIeM8q24bFIl1bBQGXvKVEOvMO0siGQTWwZSYz7BbGECLKx7SrHlG uTRoFdIVvy2seAgDNmlQGG8562SoyO7ZixALlP2RdJLNhkv6yweMpR8IZSdkisZNfbEwSJ0jDPql 1RluMJibBaPK3Gz58g3GTVqtkPSKtZRKxg5TRdLBykVKJ+UT9G0uE4wSzNloKa3urGJiHnH23ToY 5pclQyTBgZ10XTIWBRlO/xdlJkirWFK7261YSHWQjDhRilkvGnfrrEaqk3yDYLRKOlvZSuU5ZbCV VdwBV6sctqrnto2chMtWfGItq99IsqxbudoSL1txWS0ZvE5Z9cIqi5WLpKdjn623bOXyHLg7Gi6O 52J50sqnZMhIz88Obb2sntWWJNbHxf5qMzTt+5hTFegCESACRIAIEAEiQAR6GIGOtr+79oObvgP1 +QkIkPz5XaXyUyOjcB0Co9fzu+q3v8TqxwOcU/rJY58BGDwSCQDSKhrA3lhTdTIfQDxGPmC/eXzw g2wzPrvn8LnJSFX1LCbb9lLkvaQG3NRPPXc11K/mI23eHmycuw4t+9PAduwkLY3l0aqqyoQ9InsW j0GfxQ768VrJr7l5P40jF3kWAD4PPonVADZlr8GY7DVQv7QR217/FZ540J6TQzbn0/ZqlH/LIrVF O0R0C8CwcQC+RYcRuL7+WwaXWdrA5LBdI9VC+v0bUVwzz2HTu4+9rP4hGDMHQHY5qtuBwawnNlSh cH8hvi4rR1VtA+r/WWqnc7XIdpa6s6hrPghw1bNFrpIcz9rITgXxJB+b3pX1v8cSkPHHdZj3uKhX ewO0h/NRePwsyg01QEM10lhOHvHMQZ68z7ZUo5C1x5xZGNnFpnSQCrDn57Cg4yJ1IBY5Jviu2fEK nRMBIkAEiAARIAJEoFcRcDXc66QCvsKAtNOcMiOl2W5rdCfy2W02yPJBwP3suMrJqAgZdeuiilmH 2+7qF/wk1rwEzP84Efm6eDT/mQ1RV2PeU6KhJg5AEz7IQPz9PtbN/6wmLS0BCHEn1wMq1iQ+I7HR XI/YrG1YsyAR2o/X4MmP12CHth4Jj7kwGK0ZHQ98hFDJ1cyEs/+MHBcPiJHI7O+IZ+3lSHtdGChr X/0JHrFLpMW2gnJEdyE6WkvFHviOnGWVop4ei5Bq+6AO8AkU7t8sw5tto+lbUf2XBPi0t8DHJ8D+ ZbAt5Uj0fQSCCQ/gsVjEhlQLejdZq+f6oIv16tTW4YaTGhszEzHMLjF7aehIe8PStUZ0lQgQASJA BIgAESACPZZAF4dOHtajSYuE6ERrYu27cVgfU411kzuJS3u+nM9cx04eIxtkaVHVAKhls9lVX8tm w62ldM9B5yaXD+IXbwU+fgXzfz6fr1rEfjDfuqIRGCAYWcMiYhE7uStGRRf17x+A6J+vQ+nPV6Pw 40T8ZPEm7CmoQsJjLHZYFz/fVvNVEdt7dlqg/St7M0y8nSEml9rwTT5vq/i3M5A4fSRa2hk5H/g0 lyMxej72LNiDmp938E6Z9mqUZrOBfjQfZJcX8DULrE4vRdJcNXxYz/w+E30emo9Y8b0+Pn4Cz9Ly aswb0dmqjFxb++Obb6NABPgxk9fOOuCFtFQUciNGvTID+b+fh8E8SRUW9QlD9c/ULnI46MZOs6v4 yzWtT4u4OuhYGlu1tPu0yA1SaSIAUE+PR/Qt7Ip2OtAJESACRIAIEAEiQARuE4EbCr/sOKCy17UF mavG8HdqrN5TjebvBPejxOhfQes4I90kd11qQOYGYUb+yR/xV1NizFPMgQpI+rDQVkR7OTIW89cv IiS4Y01smbrwckQPRPr8aBaSmPBv2YqBGqvn2IyHweoxvNjEVdvs3y7f3oIGh3GnnX6dnchNzvYW tFhd33wQPTeW586vlw9kHQRK6eX16z8MT77E0q1H2n5ZKN/v87GRh60e6XYFqXDnGl73Xy2fB/WP 1Hji8SfwxONqqCfPw69WMpmJKLQLwW3fBtqs9djEJMSPBBtjV5UJxumTT4hGDAur/dfdvBK+Yt2H jRLYbopPQ7mcZZP8xKHeLk5vWRsx57oqIVx09FNPiEYMUHN4Dzf6fOTsXeiF/sMQzdztkIjd39ji SddILxyV8ohtmf9hITd4+OXaQqwRnwspmfD8aLFmg+z5YTebGmT9R0pt3z6yq3RIBIgAESACRIAI EIGeScDzPTvSBmVY1HZRy+ItsY8lWL4UA0dZQxRbNxNbLNIGeUjhl6VN7YAl/o2tlt17MiyrrSF6 k3gELK6XtHmchbF9aaMlY88OS4K0ufolKQSypJfrzcpfrhSCE7Bytr4db0mQQtg6Vlyuk139Yi2x c2xR06RsUthh26Zp6U69ZYe1LvGWjdszLBnbNwrhpq0RutzoLIWltm4Kt1hc6X82nYXZVVtWv73V kpG+1bJaDDEsRXuTNLH7axBDNj8Wb9m6fasl4bEEHnmtWYxmxgIbJLy9w5KRnmQNfWyNFmYniIWO sw9w4HT75FYetEGIEibVlfWbdZaMPbstW1dK4anVFiFssi3iGRBrSVi5zpJgZQiLNZiApd6y0RqM Id6yNT3DkrFBiH4mBISQynLoC05cPWkjx1qxc1G+rH2cUkkBK1jffmm1ZfVLUl1hsfZ/SY41+INN SvU+MZoba98NrM9K57BIQQ8sMg6xKzdadmy3tRlrR2mzv0X2/GDOasuOzAzLDpFXvBgZkJXsqo/Z NKIjIkAEiAARIAJEgAj0TALdE7VMGjxZjYF4Cw93LNXZbHufBR9wWtPZR0BTv7TV4R0kFkvzd1/a jBdxEBv7hi20Lisi7w32rhCHwatYdr01NK5QlvoN6V0uknLiXzc6CZHLHKJIsSyNpXywvvGki3e3 NOstW1+yvb9EkKG2bNxne++HS53NYkQp2XtqXOl/fLttcCvIhsWRiUPtLBbWBjLjgBlCu8UQxvqD W63GiyQviYWydvORwvomyd7LYpdUFpFMb5aMC/u2BjN+rSGUWe56y+63hfegSMwzCot5eOd4KUIc T1ZqWWdXD1iYrGLRkPaUq8WDNrKrEz/xwJCxWCxn94hhw8X+mpT5pSVvg1oWKayjPtts+fID8b1L Yn61WF/5O47qtRkObbba8mVZKY8EZzVkmOnl4vlhvPLKbP3WVR/zLBaeMyG6QgSIABEgAkSACBCB 20WgDyvotq8VtZdjkeIRpE3fgeo98+HT1AK2/6Ej15sW5g7DPIh8AhAg2y/jke4tDdyti5chd9Hy KLP7RC0NLfAJ6MBfqKUFDcztqb8PAjpK574I4Y4b/SUmnbGTi2+obQADzfZ42H3aAS6vnSEOEPao 2CW40ZMWZD7ni/nZ8Si+kgF1f7bR3EX5knjuNudj6wvMjcpFm0l1d1kXSZYnf7urjRzLYjxZMID+ Pi71d0zudN4k9Fne332qsEgRhurtZ5H3kizQBXNX5G51nfcvGy83z4+bPuakF10gAkSACBABIkAE iEAPIeBiiHgbNfPzRYAPG7Q6DKpdqMAH6101YCQ5zPjpvAgptcd/OzRimBRmMHhQt04LdKP/jTAJ CHaz67u/aMB0qsyNJ+Ab5Fl7dySiv0NIajc99Ebq7rLY7mojR+GMJzNibvTjJzM42lvgcvdTFwzk Tnm56WM3qj7lIwJEgAgQASJABIjArSZwQ5v9b1qpdvbGEQD0LoubRtkrBPAgD04xtnqF6j1CSba6 wwIJ8CXJHqERKUEEiAARIAJEgAgQgTtOwM189y3Wq38gfpW+A/P95GGWb3GZJP4OEfDByKUZ2DG3 m96hc4dqcUeLZc/L9h2AGIb6jupChRMBIkAEiAARIAJEoIcQuDN7ZHpI5UkNIkAEiAARIAJEgAgQ ASJABHongTvjWtY7WZHWRIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR 8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKe s6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAI EAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASI ABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSA CPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI 9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWI ABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSA CBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAE iAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwA GTKes6KURIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KU RIAIEAEiQASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEi QASIABEgAkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEg AkSACPQQAmTI9JCGIDWIABEgAkSACBABIkAEiAAR8JwAGTKes6KURIAIEAEiQASIABEgAkSACPQQ Av3eeuuttzzS5XotNH/Lh+bkN9CeOY3vzl9EK/wQEuzvUfZOE12vRdHfinB90EMI9AWqT+XiL1/V 4MGIB+DdaWb7BOYaLTKyi+D9wCgE+9rfu5GzWl0RCs40YXjYIPSTCagozkXO/2fvfaCjKvK8708C TUgTOiINE9Cg2xmeZLFxtmEHVHANsxIlzIDPEXyM6+Dry4jsKHMWfHnwgHPAsziPrEeyx6gTHbMu WYa4Jr5LcAhrwmuageZPlLSSHia9kh4mjSQmHUI3SSfpTtLvqXv7f7o7HUQGZ+89B7ruvVW/+tW3 qn5/qn51c6COlO9NFgAAIABJREFUE5+Ysbb3cPMtt5M5ISyDkrzhEPg64+qGa4zCEAy52FvTw+3/ Qz1mOTF2+Ly0nLqM1QfZmaqxF48q4bJ1U2vu5ZMvejnzxz7auz1oNBOZpMiQKKRi3HZZqD7yBTNn z7oO/R6jfuWRhECbxchvan+L5eyXqG6ZfU307XWF9k85jqJsHqLvrysQSmV/egS8mA/8GqM9jbk6 bUJ2HJY6jOdSmJ09ZUQ+Ya8azw3HfDci85/Jg+R3ZNx2qg7WYTzaQMNRE3UHqyndvYONu+vwXgsw JPrV1NpcgJeG/TU01FfQ1DMacS92qw3XcCif3VSF6aSROolW6PnVpuyfVFFTeYy+IAEXVTufpXhP Debf22i1mTEdrGDncxups18TNII1/UkSAy5sVvufpOprWumIdoxlXF1TTv48iY3AN/lmervtNNvF XP96l+v3/bx40cOBL0Kz8+tRTFR6EOPnHtZ87kmUKel3F6wDbDrn5c3WQV485+WZT/u459ft1F68 NvSTZmTUjB4u2Fy4hkbNeN0yuFtPUbO/gpZR9cN1Y+maVHSt5sU1YWY0IvZqdpRUYDxqwlhfjfEa 6dvRqo37Pgl5FI3v1x1HLrsNe3dcjhK/iLB5gOj7xKW/1W+j++Fb3ZhrxfxwC1UHTRgrjYymGe2f VFO9pzZmPmGvxnt3rVi90egk78j4FyAXbPgnXn/rLd765SuszFXjtlZRYXF//XZlpCM2T1QSRyoK N73Axi0vsShjFNLWCnbu3k1LWDbdD7ewZdMLrDVowp5efVKlUoFKzXg/CduB1ySHJXvJet56vZhX Xn2LVzYsRYWbqn8ujzm4rr7261+yuXIru3bXXhsH9fqzH6xxZDvGMK6CVJREPARG4hsv58jnFT/f SfGh8Fk7Ms/oTzycbJKt6zd/dz0cGUhTwZxxKaOzlkSONLG9mzqe+p/M4It1Mzh9/wTm4OOZwy4G kih/3bLYnCw53MuF61ZhEhUJmczX3xVLoqbrmuXazIvrxLLbCahZ/9pbvPXWW6yff2307dVyn4w8 GoFvYBxd1VCysHXnLg5+eZWLl8KsCNo88nCOuL9aIL4F5Ub0w7eA52+cxdQ8trywhS2/WMNoMyna Jg3nLdG78Hx/TumAbZ58m7yDct5UDYXr1lDzXCle7yCWQxW0Zs7CcbIeq3cGa/9hLbo0aD5cQdWR RvrIJCt3HqseK2SG330SIWAVH9TS2g2TVI4IB8B5vhGTVUuOTutXVw7q9lZgtLSCKpPsOxbzt//D zX/WNEn81L5TRqN6BisfL0Tb08Kx4y0suT0btT8urflwOVVHmnCSyazchRQ9thStxIeDmr1GZnw/ h+aDB2ns6EObncvyR9egnxoLFhfHjtghYwE/e9QQzKDRr2L9EjMl9Q3U2tawShctGV0Y39tD3Wch /h97NB/NsJ2Kd2rJW70Wg3+X0H68glpHHmtXGKDLTHmdg7mznNQeMuMgnbx7lrN2mVy3CJUyds9i lvsUNcdbIGMmi5Y/SqFhRpC3xG2vQ63LpOljE+5b8nkgq43fWIRgtlH2binqrMWsWabHZTOyp7JO 6qvM6dksXv4Y+bmxppuLur175H7K0JI7v4A1yww4zNVUHHew+OG1GLJk1iyHyqlvn8ETTy6l9zq1 I3JcJdP3XiyHqzh4sgUvKjKnzyDv+0tYasgO4isSXruRsgMtLHws1I+0myj9oJWCnxShSwsbvxla 9Hctp+h+vURDKnvYzaonC5E3lL2Y3ivDkbuKlQYtLksNB+2ZZHaJOeEm/8lNLB0xvmLPNefH5dTZ ZYwDveW2GSk71MZyia/Y/SUYsxyooE1ngM/qMFraSZ+SxbzlRRTqtYi+239V40RgXkGTF1SCj3dP MeP7qySadFso37efJruTzCk5LFy+iqX6BFvsrl7euALTVNDZ4aHFAzmBsKxLl9n72RDzpvrYaxnk HCk8oEtj7d03yf3musKJMwOYHUNcEOW0Klb/4OaQAnE52VvXz4FeH5mqFAp0E1m9UCbeOTDIiSMd /Msfh5k8MYUld07mR3lqmS5ujLU9/Lp9GFQp3Hd7Go8H6vTniPej0U3l/8xsY2W7D4bctHzeh/Hi EC1uH9PU41jxN5nkaIRccVNb62byd1I4edZL500qti+bStpQD8Yjbg60+Zg4MYWcyanM00/CMDOd C40OPnKrWLs4U65+6AqVh/q5456bmHOzoCnC5py8cW6QK6QwZ9p4Hv/bqaR90UWZWXYW9x7qJGdC KqsLpoZwitWYbjvGo8dotrfj7AHtbQZWC1kXKy/gstRRtt/IxR4QsmXh8sdYKmTLGMZDUnOofRZz VY1UHGqCjFksfayIWe117DvUSF+aFv29qym6TweMLhfsFiPHPmmmvcMJGVoM96/2y0NRNlKmbnpS LHKFX7F0gZ5jVzEvYuldbYeFetMpWi86cHvV5Ny1lFX35QUZEHq36oNaWrq9qNSZzLgtjyUPLCVb WjSMLw+CBJBDv6sOC93rxbinlEbNXNY8ughVgj6LJcdmWKpoy12I6pNqDlocZE7Xs+qJpXTVVVDz WSvpU2axePVa8nXy/IqHezx5FOI5ttzJ92doPV3HqaNGWnrSmambx4+fKJTtg2EXlqP1nLK24uh2 o56Sw9LVq8gbNlP+3kFpsa+ltoyy42rmPbwGQ7TNMMa5EOI3kIqjNyScjzFrxVrys+XR1Xa8iuq2 HNY/7LdLhG3xy4PMWLGWeV7TKPpb1jnN6sWsXSHrJdG35vfKaJpRwBoxLxL0rf1IBbXOuaGyAbtG 6PsITGL3g9ApiegH0Aj/FeFVVQdP4fAKvaxlRvY8CpcZUAfqjmdTCSLdzVTsq6LR3kem0GsFRRQa hK6Jnr/3cnf6eb5IhEs4U2JGdFmoeq+Olu5eJk3RMnVqDkt+KOZXpF4XxSS5dcjJqnUrJd3fYj5G i3YJunsC+iSs//1276pHAqM2VLFkS9kzKVq3MvQwQD+hXRKR/Vt7k/yOTKCJqpDv4/6iSZrI3uE+ Gg8bqd5TjsnWhbvDhQiOsLy3jeJKI13MJCujD8vRana8UidR8tqqeXZ7KaYz7UyaMgFHR+Rmmv2z Ohrqm/3hXC4qnt9G1VELTM8hK8OJ+Vgz3X+wYm0XK7FebGcsWMxNtPeAu7VRCi1z+BdKZD5MtKfN ImeKE8vRKrZtr0DaR+qxU3e0jtLdpRg7VORkp2M7Y6Lkn6ti70j0tEjhbhrDwhGKOdcgCwCnc+Tq sP3QL6moF/zPImtKH+b6OlrEsqvbgel0A6fCtuUdVhMNBxslx05qS30VpXvqcGVoyHTbadhfyrb3 miUc288cw1hZSvlBK5rpWtz2ZqpLd1BhlXfJRm+7kYo91Vi73Tg63NjOyBiKCW2xWjGfbsaNnV/u qsBih1m6LPpsZg5+0hoYEWG/op82+/tpFpoBO6b9pew6bEd7+yxazzRQurMUh2i2uZyS/Sba07US jtenHRAxrkbtey/Vu56lpNJIO5PIVHuxnjZRVTZyS1elcmM+08C+jyxBPJqN+zGfseBRhcZvenYO 2h4bxsoStr0n5/U6WjCfrMEeDJPx0nLMTM0ncnhfyyf1GPeXU33UirvbIY/bYC1yIt5cm+Ruw3Ky iv1hu6bGfRVYzrSjSovfX8JYbjxipKqkmKqjrWTnZtFls1BdUkrzsJuWqx0nA+00ma3SvPZ2N0tj rMnSDj1mtj1fIsmDmbpZOG1mqkq2JdztvXDGw1lSeee+CUxDOCxBABno8PLiOQ8rT3npVKVwq2eY l5v6eOpjsYoMLSd7WXPWi1lM1SEfL58b4Lkj8jt6L/PUe25e7BrmjptTmeYdprhNjl0VuyjCaVpj HWbOzSm0XB5m029dkhMlMKssd/LU+SGYlMq04WFebOpj66krUb0V77aPxkvyuyu2Xh781MMBp480 fLx50cuDHzrlnZpeD2+c97LmlIfKfjgnyHucbC27wlPnhrgyMYU00d7zXp5plPd2XF95efmsJ7RY 1D9E8cVBjBdlIdnycRcPfu6lRTgxKh9vnvdwzwdddH41SGWvT2Kqsn2IA18O0tkbj3/5ueXgbioO GrF3e8DbKoUI7/pAllfRJd2WcjaXVNHcDjm6LJxWM83tnjGPh6TmUGUJJfvMaLNn4rRbqNi1jV17 jKiyZkG7DeO+3ZhEmNBocmHAwm4RUmWx41EhybWK3btoFkNEKhsuU0eu1sfUBa6rmRfuGHrXzf5d JdTUW3B6J+DtsFC3r5gqm8xHQO8aJb2bibfDiqm2ioNWoX8TyYPInnOet2G1y7q3+bSF5j+24R1l Do+UY32yjNm9i4qTvcyaDnarkeKt2yivbyUrW0u7zULF7nJJZxAX93jyKIzneHJHyuKmZk8VVrKY mdZF88lqdr0vj1fv2f2U7KvBYncyAReW03UU767CJWT279ul0i6rhWYxbttGRqaMZS6EcetPJtAb amg6Y6bqQEMwb80HdZhryzH7xaD781qMZ8ygbk9Cf6tw/9FMw8EKLIHt4AEr++rNWB2jz0eHTdgs p0LyJWDXnI+064jXD6OMnWhsbAd2sa2kCnMHZE6R52Dd/nKsou2BuuPYVLKuKcZ4pouZ2Vn02S1U l26jRnTniPk7nBiXKMak+bW1BOOZViZNyaTXbsFUH5hfkXpdFJXk1uk6v+5301hros4iLCRxhfo/ 3O4laLXLc9p1uky2pdSz/Auh/uJiky+hXRLK921PhbySJFoiMouY0DatGpv5GFX7TYCWhbmTaRKL AlMW8crL/m2x4WZ21jvQ3LWeV56UVwia926m+KgFO/k07qsBdGx4bQt6sWsyYGbjz0qDXMjbYyop nMtrq8XYDfrVL7Dh/siV8AX6cp7ebWbDq8UyHTGOA9vFgtpwM/vrHajuLOL1Z2RP1vLeTkrqxRma Vay8BakOVe5KXt9UKNVvfnsjpafNWAdWBWmGMYZY07R3BAZb8A2qW/JQYww9CEs52sUsyWP9pg1E tiBqe1kafGLPWW67+BWX/rEdbLhP7LI4KHtuGw2fNOB+NM//Wk3RL4rJFysf3SY2P19Ow3ErRbPT k2q75t71vPJ4YHdpJXNEP52cS/HLa+SVxB4zEvfL17NhWTT3oUYG+mnB+mLWGuQVhYrnnsZ4phnu X8qWJwxs22Om+O0y0k83wJR8tvl3teRmfsPtGIHtKH3/ZQ01Nsgu2MALD8tOqmXvRkpO+vsm1HTI WsrS6dXU1dfT9qieGbho+MQFdxaRc76WYjF+g33opurnG6mrP4jtET1Z4eM1QDMN1P5lXBkbLetf fQlDrFBL/xiPNdfYvJLsg8WYDhpZoy+EbjN1dshevpIs/7yK3V+L/AMzjy2vbUSXCq47S9n8thnz F1C05RVyr2acpOnZ8moxFc89S4N+A8VPyrjaPtiJAxVFL75OvtixG7Cw82clGPfXsUq/MmpFW4Dk 5iNhOU5NY45uMhsnOthq6ef5eRny4W//Vzl++teT2ThPgObmjnedvPxHj+QM5PztzVjGTQgeFL/7 121s+krebW75dECaxb96SEv+dH8nSP3S5w/5SuU/136HnHHwU0sn+uODnPhjH7dOdLO1H57/m5tY mycCZb0Y3nWw9YKHXywMdGz0r48LHT2kOb0YzQO82A/531WhnT0Jy20q0vw7TGuPtLPEOkTnENyq QuLbcHs67xfIO0wXjn1FJbB7yU38aLao20POu11U+nFIE+FwqXI5iQMVTAPShFAfEjsxPgzZ6by/ TKa3oradB88PkvbIdzie3cnsw0P855qs0I5XdDPC7vWP/ROvP64K9ln1z5+m5pxNkn9h2SR8av7d BCo9L7weKRdtH4gFj/jjIZKONLHFf5GPR8whNUUvFkvjy36omJ37mzE88RLr79FCew1Pb6+m+byL RXNGkQtpev7p1ddRZfjrs1fx9M46bF9C3nS5bKRMjWQrni4wjHleLJWbHK53Bcqvvs4aEQMpXTa2 Pb2LFms76LKoida7wxY2/n2JFNKdWH5Hyv28hzfyekD3/rIYfSqMOocllsLlmJty8UxlYMfr6xHa rWbXs1Tb0lnzi1dYNBXkfrJKhp42Ix7ualbGkkfhsMeRO25Lo5RLt3wLW1aI3TgXZc9tpuEzs6Rf 1fo1FL+2JhjZYf9gGztrW3DM3kLxa3ls/vsS8jYUs1YfwDu8UiHzk50LkeXEXaA/YuuNLSzPVVFx 5hg2FqFrP0aD5MC4qf3YhmGFDvNxs6RjF6Q5qBbjYhT9nb96KVW76qg72Yb+vhm4zwrHREVRfh62 j0aRz0JJBWwWwXx02FygeXH6YdSxEygvfoeb2XdQKOalFL+wCmFpeC3lPFtilnPFqDvcnmz+qAoH Gta/9goGYXsOW6R+tFrsFN47cv56bW7+Iw4u4WwJeS/Pr2w2vPaCbDuGzS8pb5hMku6jdL8q7H2w /2PYvZILnZYp6cldbzdAdiE7gjZcGFcJ7JK8oEMUlv9bmhyTIyN0avP+Enbs97c2Q0fRP2zCkOGV QkXUhnmhXQp3H2J9s8+yj83P75MK9HUL73wQR48XZzeo7iqIcBTiMeP1x+IuvitSmAqibv+Cl1f8 xvq8mbuPLuEI3DMv2EX6Hy5HXV+KQ+yc3CI4AkNBaLsuZ34unLYSk6bXK7VLPcUfohGkKk/eeG3I vlMPJxvY+fRG9EtWUvQ/89HG4jecXjCtZvH8QKiYloUGDQ1HnVK7JO5VBhYEtm+nGJiXUY6x2wFu bVJt1/9VbrAmkRiUEEFaNZfEc0Y2+inQsH8nzx7Xs/J/FcUM+fG6/btA/76dzXsFHoO4hHD9sk3a RdDes54i80YqhBODlvUvFElCSK58UFJo32g7IloZrDVu37vdwllVs/yBwFZ7DALBRyoKHlpA3dsN GK1QdEuTpFgW3LMAr7tKohPqQzUFDxmoe9uK0w3+SLsgpZGJQciYS24sJ0ZkTjTX3Hksv0tD6ck6 zAOFaI8exI2GNT/Q4T1/TKrKEqe/xJakev5SyYkRGTW6uagw43bLBv/VjhMh8P3rw8Gmuvu6pP6f FwAjTc/y+WpKzzhC4zCYG7jYx8vD8CNtKi6Xl1uzUuG8lxOXIP/mQMYUHgiCpib/Fhcvn/fRCdw6 bgIu22V+99UQV4Z8nPDAnJv9Vv+ATzq7Mi/CifHTHIJp2WmSEyOepP2FijnHBxkY8kG/vHNxoMHJ RyeciE8cmkVDXcOSAxRzug8P8eD+0I7Nj7LT+D8/8Ie/XXZy4g+DiJ3ljq/EfEpFI1gcQqK34i9C FAeuyDwXSE6M4GwMJ/P7fdL5lwvt/TxSLqlILvjb4uqFAT8pl2hLIHQvAHGs31QVDqsZi60Nt9dJ sxvUuoD8Ci/gRYgM1fzFIxZ3RhsP8eRsOPXItF+++MdXVrYQmGoWzveHLk6ZFdJdkgxMrBNUODAf t9DmcOPsEme9NMzwhwaL2REtU8N5ia8Lxj4vpDkarndFRWlems0N2NoduJ3yDq4uS+irGHo3oEDF 21HkdyDYJdCWQFGvEPsZQgwlnsOSroqWY5KMWSw5MYLurFvSwT43GI4k91No9z8x7rJcEvtEsd2K kfjKbVFT8APhxIhLw0KDmoaTsoSSHnU3Y7LYcLi9OM65IUMnh531eGVN6Y1fI0nPBbn28P/l/gjX /ZF6Y8GSBVRYTZyyufEcr4cpBhZNsWCqrce1Ip2GM16yH1qMOiM9Kf2t0hWwIKOOhkMmuG+V7Ahl LJBsC9uofRvO+Wjpkf0w2tiJ6E+/TbdgeUHQfgjrrdEqZ7BPxAv1sW/7Zsq9wnFxSTtJg3Z5cTp6 /ibCJbKywPxaHrJrA5MkMmNSd4nsXsnd6jHx0vY6HOSxZWusxT5RTXy7JCkmviWZxqQPRPfrlm/g 7+/NYrwqE3VgRSoQhCVZ/v6W+0deln4h87JUslMgXqlzpFVlEV0reclBoCKGavCpnBDvxseTTlF5 o25VsoftDfuqWcTKQSB74OyPqCktWmQHMgn+M6XtO1tHm3B/wl6ACLWL2kgNvtfOX8tLm3KoqKzG Ul/BtnqzvNIdzBGeSKZbZKEdXiqYDkB5FW0P0pAR999qWfuLl8h5v4rqejnkp/GhLWxZFhD+4aVU 5H5/CbNUAWEljJhFQYGjnSqwFZpPQ3qAz/Di4enA+2vWjnDiYem4fR9r3MXvG838AvJowHTETL6+ ES/ZLPmeGs6KurwRIWHpicaYXxFHCOfAdn8Y28GkH6d4c40VBahOVlH7GyNaEa52Z5E0B2W3M3F/ Cb6Dl1otfZAjeO9PhBAZyziJQSVcfggM1IJyjN0vwPy5zNeH1j7Ev8D168+c5P8gxiJDIAPC2fBg /OAST3WJdAr5k+B3Xrg1mEdOhNyEyBdiJyN4+XdHgvfAA7ep+O442dn4MTD5O+kx11jkMqn856rJ TBufQtqkdKQPAAAXTnWw5HPZgzBMSoE+n+QYRfAknKfAJRwcvx8WeBSRN/Aw+JsS4sk/fu7KGs+D N6UEHRdU45kzSW6HKJaYXoCwl7rd/5sqKbRVjXa6Wjonk+gr+KG9mwAN8TuekNKQnycaD+ElA2nR rLDRG3gs/Qafi4TUML9RGp4rjlzw2mvYuLNaoq2eokUtLW1FtTCsbDhJkY6rC2ICnAQO4fNm2EbJ z3YhHV/L0KBVy9I2nIcIvRu+ii5lGk0ehFOKTifBa0w5FuwNvwsZohv+JincI/RWiM7VpuyHS9hZ KYcAi9Btut3SFz8kmeefN/Fpj30ujKQVX2+ovycWAEw0ivPJZ1zoVq+iKFuNabeJ/QegWeym+Bd/ k9PfGgru19Gw34SpayGNZ7xoly/26+4k+jaC+dhyOyJLxM0Y6AdwDzvmEHgUQTLiJqSl5MdZLLxv HqqwuTNrkbDn/Ls6EfM3ES4RlUg3iedXZH452iLyWehOtCqR3evFLe3C9eIUuwYjv8QskYprl4Qq +tanons3YYOE6azV6dBMSWDoBygEJJBGHMCKNnhlc99tFStZ/tXujta4ToCsjVw0nXVj8IcsBaqR fxN0tp+P1t+3wnx/XV82x68rkvDIu1Qd83JV2Kw11NgLKQxuEnmpk0LtNMybHftYqzY3nw0v5OO2 VLGxpI5ai4v1/s2QkKPllcIbIq2G8eKjaf7LS7OIZ86Yi1hTlKL608J8vGEbLd2gFofnvmbbI4RD qpb8R9eT/6j49PRm6g7W41qmi1jFlBn0ojUUUhjd5cKosFVRIsINdToGbTaK/7mGt7bI4XxS2evR jgCMyfxKQs5Fy3kvhlwZjVYR8xvT4BAEs1l6r4bmo/sos7lQ5RZJuxmyw+Cl5bybRXq5I+1Wa3wO hlulz8pG4B8/d7CfiTnXgKn5LM2uoqa2AhHgU7huURi1eP0lcx2WUUrGcp8j+Ex6nEgrGVHk7dK5 MWm7X+z+inGeJu+YRmQcclFp9zFnZhr/tmSibGmPH+KjD3vYem6Azh8IN1m+0iYGSno42+kD1Tim 9bp5pstH/u3p/EoKzfJS+a4DsYkoLsnWGh6ipRfJkPc/jvsTbZtl66ZSEJQLcYvJL1JTufXm6L+B 4+Yj8TW2SSosf6eVhluLCPUKLUyPICrtmniHuTCEf7fIK+8GReUUvIrhO3DBK6nsB8T7gKxWT6Dg 7gByUQXFbURHx3gvHvVYqLG60d67npf8oQ4ivDQQyR+rlNvaiBt9cLEjlCf+eAgqrng8jXUOhSod NWU5LP7kQFiIlFUObx61YFiGmLpgvr9VI6yb+DiEkZSS7s/rJSdm0fpi1ki6spmNTxf7s8mz120V 5z8CerclShfGkwfRNcW7T57XeBTiPU8W93hDIkh3BL7BN1EJF7X7xbnWfIr/UY4eaN67keKTUdnC DOqIN8nOhejyEfcJ9EaqjiXz1ZSfbsAlQqXu0qLKWIJeZcJ0sEHie0HAuE1SLmf/oADN/lL2v7NH CitbtShckY/Wt6HFAO/5JGysEf0wGn0/utIuCtisraCXP2LRbhcLy/7545dniW0qmLeskPDWSdSj hbm/ysS4BHo9mfkVuT7TIj5eFeA7QCbwK7Ujnt0rojTyefGFHLY/X0rpzjJeenVtxBmZ0DyIbZcE qvlz+B17lFyEp5oAggw9C8XhvdrdlB02Y7fbMH5QQskBIUQ1zM1VQ0cNxR+YsNnMlL4hojhjX+rZ cyXDxFS6mxpzMzaLkdI3KhBDV161c9F02oL5uBGb5KGG0fHz4TpaQtkRC202E8VviA8OZLPoewmU dhiJ6OTS1cL49lK9czMVR8zYrGbKd22kxg6aex+LeY7B8kEpZQdMNNvtWP1/o0Ur/vKnOl1S4ObK fZhtNure3SGdYYg0GlzU/8ZMW7tdft8BuvuXhFZKepqoOW2jzW6mbHsJ4oj40vsMcJVtl+x3bysm a7O0u+DusVC6uxyTpRm7rQW7iD6Zoh2xOq+evUAKEanbtVPqJ7s4sP3GLqrF6uywjdd31UnhQz/f soUNwtKzVVNyROpFeTJ/0+2I7shR7tW3izNPUPf265isNswHSqkW4IYkxAgK+mXLUeOS/raAYYkc zhjAxVSymzqrHdvxKkpqHZKi0WeInUlRi5t9e2qkuVC2vVjqw6CxNqKWqAcJ55rIq2LpQ37nZcqi 4BfPAnzF7K+oKmLdXu04Cbgm7vNNWGxmjKdt5H5fHCJxULqzHEu7HdMHxdR1gPaeBUGnJMCD6/cD 0nmQn8ybjGaSGs3NajSayTzwPTnuyhj8mzI+Dpy4TGfHFYyHLrGpF1bnTSRNfNELMHZ6ONF8mdpD XWz1hvzTnL8QdHz8ZH8nZ+0uWhodFNeO/sci0m6bwI+ATYe+orbZyQX7ZT7c/xUf2kI7RoE2hP+O 1J3jmS4W+HsHqf38MidOdPLgeXlHZmRemdKt2UKUD7Npv4OWi05qf+OWMAr63CIxPEjZictcaO7i 2cMB7wU0IkGOAAAgAElEQVSYpObHk+BDay9lpy5z4aJL+ipb8TH/xw+kjSEfjb93cvbzS1zo9WJ8 eyebd5Xj/wZCqDnqdGmBxWE9hclspubdbRh74qlqNfPEJ/K7Tbz0bg02SUeUUn68bfTxIA8+WiwW 6e8Rfe05FGrBqKnMqWIJycGpj02Yj1ezc7c4K5r0bCWuLvCH9F7tvBCMqzLl3UjrJ3WYzSbKfl4c thMc0Lt1st61Cr0rzqrK19eVB2OZw4E6x/I7Gu4j5NEI4n5DM0zujMgS8SAdrXAExAcTjpsxHSqj +KjYkfFLMP8UavusgWazCbMtavFntLngLy/CMJuFTRB1H+iPeHpDsGq4xx8Voivw2x3ZLF0sh0vq vr9QthGS1N9S09MMPHSnGpdN/jLrQn/I+mh9Oz5dDd4G9hwyYzPXsGO3/FGnCDiDNyP7YTT6waIi kZFNngoctW9RdbxZqu+1/WKJzn+NYlPJddnZvbNMsrkke3JXKWHfiglQCv3GwSWUQaSi5pdk14bm l9DDagHT6X1Um5sxHy6juDb+3+tLaPeK6gacjJ9iYNtjeuhpYNe78m6SPA/aaLA2B//G0Qi7ZLiZ 4mefZpu/TGQ7vn13yUtfv6hWRawWJGqwilWbNmDfWUJDZWlwRU5372KpkOGJDRhsu6SvbDTXgipb j67HEpjLMH58yLLIMLBp3SJeettEdWmxdHANVR75AzBj9kKyRTjPnhKEOlm0YQFFkqcfaFoYH/tK /HxoWLlpE4HDToGcka0Jfyp4CbNeswt5ZYOXXaU1GPeVBo/35xWsZ2Pg04cRxLy0/tFKg1V8FUR+ oZ1fxErpE7p5FBXoKKk1U7pLDEQN+QV6TMdlYRngwnKwFIu/bPZdRWwKHroXQesOat7ehTxlVCx4 bIt/p+jq2p77/QVw0kjFbrGSpyUjaxFWqwmzVSAsLi1F6wpH2vNpefxsQyH/WFIT6ifULLrLiWXf L2lGzaoX1kuGqebhn5H/2WaM+8povusFf/D9N9uOzLsMkeMqrvnhR33KIjasbmJXpZny3cIBV0kH 8EXYqyyK/XCE/4jdD10F1bYwRzkMl6rdO+XcUwxs3OKPa80tZKnOSN2ZanadEU6invz57cjHUEX2 sLkQXlcwHdbPMeaayKbWF6LHxOCyQr8DLJbm4/cX0ictghUEE4HxKB5c9ThBw7zvZ2OqN1Kyyygf SH25iA3L7ZQcNFGyXR5nmjtXsu3h0GdjA0z8zirOO4znvplhc1LMnL+cyOrjvew9N8CK78q53zzb x5tSaB+I8yfb754svdj01wN8+OkQa37bJ5092T4TXvzSK59lmX0T7//hEo+cH2TlIbmnp92Uwk8D DET9Bp2FCZnsWDLIhXoPz/w2YNSksN2d4LzKhLAQryDdCRQsmUD+bzxsOiWcoBQ23j6O4vPyLpEh RjibRj+ZX5138pT4utlvhEWUIh3mD5DM+et0Vn/h5s2mPt4UBtB0FRulQy8ixwR+9CM1jR+4efnz Pl7+XC61+nY5dC0tWzhog7x4Sm7TdjUMn7Hj8nbR7l7DjPCzW6l5PPGYgZ37zJSXmqXzBIvmg+l0 I+4nDaGx52dM/9gm8s+/hFF8KeqkvJilW16A6p5VCceDesYs1DRQ93YJdfPX89a6sc0hOfwjfDRH hsKEvwlgGHBWdD98ggWf7KLhYLm0q6W7axHakyYav3Bh8H8oIFQmOpVIF6jGOC8CYyxUh0q3kqL5 ZipO11B6WoT1LsBAA5bPWsBgIFrvkiEvokgUEsoDeSc5VFMgNRVhw4pLlZu4z0aXY0I8q0N6X9AM 0+UJcTdoRsgjIe+lDwkFWI0hd+Y+Ll5G93ZA3qooXLeKhp1V1OwRHyJSY7hXj/lok7RjbsjIYVE2 1B2toPioWMTMxKALO0852lxQa9FlgKW2nOJaA6/8cnnk/Vvrg/o0pt6Q5LocXjZjeWiXPe+BpVBf wUL/boq3ozU5/e3HadGKfMrP1JB93+LgItJofZv3QBG6+hIs+0sRgXiaO/Mx2AP2QrAD/ImvJ/+F /bFm0ypsu6qo21OMcJmkYw6BRezUxDaVOjhOGyjd5d8rVumYK1aJ/GHs0RyL+1i4ROdLOL9QUfi/ lmIsqaOmVN4l1S/Jp70+pOkjNqkS2L3yXJL1n/a+DRRZN1NxspSq+15nkU4HJy2U7y7GsO4V+e87 Rdsl3hbEBytdNvFnJQwjbbnoht3o977rcHmueHyeK70+z9DIynovdfqcl3pHvoj1ZMjj6xV0+j2R b4d6fc5Lzpj0wzMKPnqvOH1RpcOzjDndK7XN6evtT6Jov8yn80qMvP530bz1Nu3xrVv3D75jbaLd vSPqafq3f/Cte+Yd38V+X1yMRW1jbvsV54h+6b0knjljMD/ykZw3yX71+XzXsx0juR39iehnn8/j 2/+P63zrtuzzxW+Z0/fOpnW+da8fi0m0t9/j640z3j0xMI9JJMHDRHPN1x+f67H2V5CFGDwnO06k fBKuQWo+35BHGufO6OdhWZJJ9v9Xh++7b7X5jn/l9vUPiH+xSnl8/QNhLwaj8ohyPQO+/oHoWRmV b8Stx9fv7PU5ne4Rb8b6QNQfvAZH5yNUr9v3/r9c9N1d0x0sLsav9D6cZthbkZTa2+P29UdjMej2 OZ29wee9je9IcqkxgdyLkNMxZH941UI/iLkxQkckGg+SzOz1+cJoX4s5FM5XwnQsfhMWCHuZQBdc k3kheEvQN76APm7Z71u3bp1vT1OkbLhqeSCamKjPwiC46mQi3GPIo+h6YuIbnSnqXsjV4BU23sQz p2N0/R9/LniibJfoe7nWxHojsu9ECTGfoi+5T0fX3/LcfsZX74imMHrfjgXbmHnHNHY8Pqej0+cU tk/zPlkehdtWcWyqYKukuoRNGNa3wZcjEwlxicou27Uen6+/yff/rFvne6cxDPchuY+TshkF3Xh2 b1Sd4beSHIxoVwy7pD+2TR5O59uSjl6K+Eb8LvkzlZGrp4GKxGHJpK9UVdgHBsJKparRBGJBwx5H JwUfsQ+WRudM/l7+4EGSVNPUaILLt1F1JHonrTioEZ/mi40iZIp3CQ6Qj7ntGZrgakyAU/WU5EPx xpI3QF/8Xo92hNc3Wtp2uJxa5wwW5mpp+6zWHz44d8TKsqAj/tBc2Tvyd/xXrgitkIXXoRY7e+G7 e2EvVRmauP0bli1hMtFcI8H4uNr+4muMk5h1pqpQpYl/CZuZ9MtMcYA+7pe2Qp83lghGHZZnQqKy iVhQkaZRSWdREuVK5l3apDDmx8Wb/SFKaZrAeZvAp6JD74T0GI2viPrCi45LRxOY/sM2dpc2SJ8l D5xnCs8aSIt+DF6jBDGrMtSxx36i8RBDZl6LORTkebSEGKej5Yn3PgbvgazXZF7E423ARvk79cy4 ax5a2qiVPscsznVG7rjE5CHA4Gi/ifpstLLJvI/XNlE2hjyKJnk1bZPlqp9S1FjWTA1MjOiaQvfx 54IKzZTwURR9L9NIrDci+06UEPMp+hq93V7MH5RRXmsG3Ur5zzlEExmlb0evI0QwZt5R6IdKi5QK zVTZfnRL8VSRb4W+i2tviaxSXcJuiio34jYJXKLKBO3agdC5oWCW1Nh9HHwfnYhn90bnC7sPl4Nx 7ZK0ODI3jM63JXldHJlvCxg3JJ/S+YmpcRXm+PSpkMzHF27IxoWYulHb0WoTfxTUhLlW5lWTm8/P VoeFD4SaQIvpIGa7G13B+rCPQIRlUJLXDwHxd1OIFbZ1/Vj4U9eUOQHyJwscrvGVquOF196KCAG6 xjUo5L4pBLpbaTrTgOlMIKRGQ/4TP4sKwfqmKlfo3tAIDLRwsNaMOyOP9evCPsJzQzPtZ04lFhWy Rv8S6tW05WvhokJYb9rMqK8aXg0fV1nmv4NdkiK2jq4SH6WYgoCCgIKAgoCCgIKAgoCCgIKAgoCC wJ8EgahN0j8JD0qlCgIKAgoCCgIKAgoCCgIKAgoCCgIKAmNCQHFkxgSXkllBQEFAQUBBQEFAQUBB QEFAQUBB4EZAQHFkboReUHhQEFAQUBBQEFAQUBBQEFAQUBBQEBgTAoojMya4lMwKAgoCCgIKAgoC CgIKAgoCCgIKAjcCAoojcyP0gsKDgoCCgIKAgoCCgIKAgoCCgIKAgsCYEFAcmTHBpWRWEFAQUBBQ EFAQUBBQEFAQUBBQELgREFAcmRuhFxQeFAQUBBQEFAQUBBQEFAQUBBQEFATGhIDiyIwJLiWzgoCC gIKAgoCCgIKAgoCCgIKAgsCNgIDiyNwIvaDwoCCgIKAgoCCgIKAgoCCgIKAgoCAwJgQUR2ZMcCmZ FQQUBBQEFAQUBBQEFAQUBBQEFARuBAQUR+ZG6AWFBwUBBQEFAQUBBQEFAQUBBQEFAQWBMSGgODJj gkvJrCCgIKAgoCCgIKAgoCCgIKAgoCBwIyCgODI3Qi8oPCgIKAgoCCgIKAgoCCgIKAgoCCgIjAkB xZEZE1xKZgUBBQEFAQUBBQEFAQUBBQEFAQWBGwEBxZG5EXpB4UFBQEFAQUBBQEFAQUBBQEFAQUBB YEwIKI7MmOBSMisIKAgoCCgIKAgoCCgIKAgoCCgI3AgIKI7MjdALCg8KAgoCCgIKAgoCCgIKAgoC CgIKAmNCQHFkxgSXkllBQEFAQUBBQEFAQUBBQEFAQUBB4EZAQHFkboReUHhQEFAQUBBQEFAQUBBQ EFAQUBBQEBgTAoojMya4lMwKAgoCCgIKAgoCCgIKAgoCCgIKAjcCAoojcyP0gsKDgoCCgIKAgoCC gIKAgoCCgIKAgsCYEFAcmTHBpWRWEFAQUBBQEFAQUBBQEFAQUBBQELgREFAcmRuhFxQeFAQUBBQE FAQUBBQEFAQUBBQEFATGhMC4HTt27EiqxLAD44d1dGtzmKEel1SRuJm6LFQf+ZJZs2egipvpz+uF w1KH8VwKs7OnXPuGSX1jZHj6bKakX3vy3zxFL+YDv8ZoT2OuTvvNV3c9apDG+BfMnD2LtBH1fc32 upzUnuyh8b96Mbf08ceOfiZljkeT9jXn5Qg+v50PXF9c4sgFLzlZI5EftUVDPXz4kZO2cSncPuVa SycvLY2X+fR8Hy0XQv/sziFun34VvEY1ZqDjMu/9todJ31Fx8zUcCwLP2v9y88cwngP8n70wwIyZ 6aRdhyWxr9WvUVgle+uydVNpusL/d7aXs639TExPYdrkZMeFB/OxSxxrG+SOWycmrNL1RRdHLgwm PWY7m7v4j5M9fr76cDi93DpjIuMT1vIteZlQdn5L2nAVbH4zNoIX495/pfuWecxQXwVTyRaJtg+7 zFT8v3WYz3zO52c+5+wXXzI4bgoztAmYGG6j+l/fx67+Ljnaq5OHzYfLMXZPZ87MyclyruT7M0Ag ebnntlN1sAb9LUswTE1WkMsIuew2nBk6Aja8u/UYNfvtzH3AgO46KMBr3U/ebjstPZnkZWviko5u s/2TaqpP6ll8z3ril4pLLvELqW+q0d+ymPXzR6PuxW61kzlbh+ZGwX64haqDJhy4WX5/3rXHJzF6 sd8OuLCdd6LLzY79fpSn7tZT1Ow3M+veRRgyojJ/zfYOXPTwjHUQUmEa0DkMNA3wxg+nUjBzQlRl //1uL5wb4Bn7IKe/pxl1LA24rnChZxw5M/0K9mI/m+yDMODhC10CpXtVsA5ibPTwsuiv8Ct1mNP6 yaPyGl4kVrrz9/28aPfx01YvG/Vjk9Gx6AWeXTjnYZPdF7iN+k3h/TvBMCnq8TdwO5Z+BQ8XbP1o btOguUr/vuXIVzxolTvLMDEFc8cQnPfw0+8NsnFhEobSUB9vnh3EiI8HFpKwfwXGz9iHkhqzLR+3 8+A5uT8EXxc6hug876U6N5M5k8B10YUrI51bNV9jDHjcXLgwxK26JNp5jfs6oey8xnX9KcldFxuh u4Hqow2MH78Qw6P6b665Ufahu7UR49EGUKnA65XqNdZWo9It5RdbVsWeC+dN1JxsAPc8luYaxsir i5o3tlN9xo36rrmsmj9jjOWV7N9mBJJ3ZFRIuyeqMRu/FrbuLEG/4XXWR6xw6sgaM60bA+qKn+/E dOd63loXb7KNbLNKTGiVmm9kwyQjXaKbVN9YK9i5u4H1v3ydeNxfd5RT89jywhYc6qzYAu66MwTN lVspPmrg9bfWXtWuoVotjOA4hsTXba9kmKVQvSaLORNgwN7FI4c87Gh0K44MkJaWAqkpMXbCogeS l8r3e3gxK50vAo5Mtob6+/vQfOdaOzFy3WKjZM4t6VQvuymama99f+vdGuqzh5h227Xlfc6yLL7w c9dS286D5+H9v8u6Ls5LOChp45LtV8DmZMnhQarXapgTTiTZtL1LdmImqzj9iFZ2hlxOXnzfzZuf 95L/l5MxjLZmNC6TV3+YgmuialS5lnzbrrBXODE3TcDyyFT/GPfiuuRFIzmTTh78jZvHl0zkp6Px lwCLFqOTB8+Px7JuchLzKAGhq3iVUHZeBb0bs8j1sRFsR4/hFgDU19P2qJ5vzLyPtg+FvYOa9a8W YxCbK8MujHt2UXGyjn/cm8Mrj8ewPnQreWGTnvRb8sbWZd0Win9eQrPsLzE+jtodG1El97cJgeQd mVFa1Xy4gqojjfSRSVbuPFY9VsiMbjPl7x1EjK+W2jLKjquZ9/Aa9JmzMCzXocaF8b091H3WCqpM su9YzGOP5scW+t3NVOyrotHeR+aULOYVFFFo0GI+UMaxLi2rnljJDMkxclDzbgWOrKWseSCT6j1G Zv3VDE7V1tHSDTNzF/HoE4X+vKJRDur2VmC0tEKGFv1dyym6X165cFlqOGjPJLOrEZPVTf6TT+A9 XkmTF1Q2I2XvnmLG91dRqA8Lh+qK3WaVtOnvxHSkilOHzbjSNOjuLGDtitCEdlnr2FNppHUAtFm5 FDy6BsPU2MB7281UfFBLazdMUjlwhWVz2S3Um07RetGB26sm566lrLovD4e5hoqDTVLO2nfKaFTP YOXjhUyIkz+MpJRsPlSO0ZnD2kcXySb6cBtV79SQ8/DaIJ/24xUcbJ0l54nTZ9F0xX2L+Rgt2iXo 7lGDGDcfOVls8FK918hF0pl7/2MUZrdRsa+G1oF0Zt2xmLWP5iNMtrbT1Ri7ZzHLfYqa4y2QMZNF yx+l0BAS22LLuepIE04ymZW7kKLHlqINjJe9dah1mTR9bMJ9Sz4PZLXxG4sYtTbK3i1FnbWYNcvE mHBRt3dPcKzkzi9gzbJQ/7WdrqHqcCNOJqHqaSbRGuzI9jpYoIe6/aL/05mlm0fRE4V+HmMhBgOC xQmQlj2Zxyd2sdU5yIAw5AWnti7KTnk5MQzfnTSOx//mJubcLEt4EcZS/KmX33nh1kmprDBkkC92 H1xO9n7czwGXj1sn+p/Plo1iUeajS+OZp/LwsmUIVKn834szyL7kZrdlkCupKRTkprN6nrCe3NTW usnRqzhxop8DvT7uyJrAxrvG89HHfVS6fHxXM56fLtVya2Al3+Wk8uN+6Z2o+8E7MyjIk+tuOebA /h0V/GGAX7cPM1m8N2RQ4OdNrL6fPeFk7/lhCY/OLl/Ihxxy0/J5H8aLQ7S4fUxTj2PF32SSo/FS W9vDgWGYdmmAskMdZH83gwIdnLV6mDwxnbvDeIuHy+i8xe67mE9dl9n76RB3Z8OBT0XfpXD3zeNZ WzA1tKvg6cF4zM2Br3wwDr570zjy9ZOYMzMdejwYrYPk3zqZW8fB6Lx5aTnl5I1zg1whhTnTxvP4 305lWhI7GOGBH3HHmtSeYfJv91F2wsvvSGHFX6azYtoQZccG5PbNUPHTH9wsjdlOSxfG3nHc6vXw L7ZhUKWw2jCJgrzoLU0/eq4rnDgzgNkxxAUP5GhVrP7BzdDcRZl5SMq091AnORNSWS0wJPn2npXm fwrvr/A7MYKaJpPn7/Oyt97Lv5ldGO6byImPL+OYmcGP/GN14OIlyhp9PP5Dub4LtgFaJqdw682B HndjrO2RxjHjUjDMUPH4fcGXgUy0nOjkQFcqayU6wcfBxLQJ4Y66Co2Y25cus/e3A3QCxjOXSbOm cPc9NzEn0xtnDqjAdZnKT4e4NX2YStsQd3x3IvnDXt5oF1UNSfNCc1Maj9+dGaw7ViKezhF5LQcq aNMZ4LM6jJZ20oX+Xl4UoTeTlp3DLixH6zllbcXR7UY9JYelq1eR54/Yth2poPKwBQfpzMzOYdnq IuldzOeZdireqSVv9VoM/vJCf9U68mS9PEY9JNqalA6/TjaC0Ff1R2zSAipeC0aLmyK9f5FDhHEl so0Ej3UO5s5yUnvILOGZd89y1obpu1jjYMQzoaOEsEjVkP/kNtpsGzEePUjzYwbyoheyh500HTeR eX8O2gyhq5K0DwfauJimY8M/rqV51zZMok7l+m+FQPRQuqrGW97bRnGlkS5mkpXRh+VoNTteqcPt aMH8e0ki4rJaaLaaaW5zo9IVsn5FHvZDv6Si3gLTZ5E1pQ9zfR0twhKLvnrMbHu+GOOZLmZmZ9Fn t1Bduo2adsi+BSwna/inX5qkUua9u6g+aUGVPRPc7RhPGiktrcDSo0Gb4ab5ZDU7tlfJqxS4qHh+ G1VHLaRn56DtsWGsLGHbexaJVssn9Rj3l1N91Iq724Hb006T2Uof4O1uxmK10mSR2xdgOV6bJQvL a6FiXx3erCzS2200HCylwirPOrelgs27q7B0w6wsDfYzJkq3FmMPEA779dqqeXZ7KaYz7UyaMgFH R7gb42b/rhJq6i04vRPwdlio21dMlc2Lw2bF2i5xj+2MBYu5ifae+PnDqpSSg84mzPUVNHTLb1yf 11B3uoHyA2Z/Vhe1+4yYL3pRJeizaLrC8G2sNVFncUiv3OcbMdVXsGt3Fb1ZWUzotmPat4ttu8qx qbKYSTuW+grKjsv5288cw1hZSvlBK5rpWtz2ZqpLd1BhldaikMenifa0WeRMcWI5WsW27RXyGOix U3fUSMWeaqzdbhwdbmxnBC6CFYfUx+bTzbilsbJZGitivGoG7Jj2l7LrsNxDtgO72PF2NZYOyMzw 0N4xspWhJ7HaW0VxSRWtqmxmpXVhOVlN8X8IZyj+pfGH3Q/YrlDcj+SoCJ0x8IWD+Yc9vNkPd09K wdgxyMqqS1yQ3nUyv97D3l7IvzmVC11DmC8DvZd56j03L3YMc4d4fnmIp+qdVH4hxgtcOOdl6+du HhRGjyaF310ZYs0hJ0tOeZk4KRV6h9n6aS8nxFDs9fDGea+0MvymB+4Y52Pv+QHmv9fLVpfgCSo7 vDxS5x9I/rq3dvi4Q5PKFdcQz/zWSW2HmBt9nPjCy1P1bp46P4xhWiotl4d4pv4KLZKt6uHD97tY 2TTI74BpQz6MgmG/MT5g6+XBTz0ccPpIw8ebF708+KGTAY8X45dDEiad/cMc6BzGaPdCv4cd9kHM rkEZ+IS4jMabTCL6/84hHwNDHgZ6++R/HlkGDFz08uI5Dw/WezgxLpW7U328affw3DGnTMLjZOu/ XuGpc0NcmZBC5pCP4vNeftIoC82BDi8v2r10SuRG563l4y4e/NxLi3BiVD7ePO/hng+6otlNeJ9w rEntGWDJYQ/OSalk9g3z4qe9zD/Uj3FcKncwzJvnBnjzc3medtrFGOtjzdlhpk1KoePKMM/89gqV NnkMRjPScrKXNWe9mMXrIR8vnxvguSNOOr8apLJXDr2qbB/iwJeDdPZC8u3to7HdBxPHS6Fa4fWm 3aYiXyy8uEXI2RAttiE2nfOEsriGKL7ooaVXPBrkRPMgm+yyUyXkXGW5k6fOD8GkVAnzYttgcKwG iLgsnTzYNMjZCeNiLOpN5O6boLNjgHsqOmm5FKp74PIglQ45FM7cNcRHnUP8rmuQuHNAyIOLXrae 87CmaZAWj48L3mHO2oc4KZH1sbdzmMrzXmmBJMDfyN9EOsRN4xEjVSXFVB1tJTs3iy6bheqSUpr9 IZZjkZ3es/sp2VeDxe5kAi4sp+so3l0lLZZir2HXPiN2NORkTaLltJGGL93Efe52YDrdwClbSH86 rCYaDjZKC4Nj1UPJ6vDrYSNIfWSvp6EHlq5fi0EFxtqGUNeNYhuJ0DBTfRWle+pwZWjIdNtp2F/K tvcS66RQBbFSapZKi8Rd9MlTPjKT2y6FljU55PmetH2YtZRXXt2CfooatyxKI+kqd3/2CHz9HZnh ZvbXO9DctZ5XnpRXp5v3bqb4qIWu3I0Uv5bH5r8vIW9DMWuj4rYd7cIJyGP9pg0kOonQ/FEVDjSs f+0V/zalRaJptdgpvH8t6+dbKD1dTsneJqxHXWjv3UCRXoOQvqKBqjuLeP0ZoX7A9PZmyk+fwtqz Cn1HLcZu0D+2gw33idV7N1U/30hd/UFsj+il8E7Qsv7Vl4LnHFa+WkzFc8/SoN9A8ZMjY07Vuati ttnymdAMKgq3FLNSp4IeMxufK6XxEytFubnU/LsRMhZR/OoaaZcBazlP7zbRLJy1rPBx6KVmXw2g Y8NrW9BLlquZjT8r9WdSs+bV11mTFthftbHt6V20WNtZ9fBGXtcLumY2vFoslwX0cfKji+wV/dIC VPVVHDtqZ9GKbE7Vy4LRfbIW25MGdN2NmL2wqGABzR+9FL/PsiLpCsZVaaAOsCxtS4f1i72Gp3dW o56/huJ1iwA7xU/vxGa1wz1afz+pKfpFMfliB6vbxObny2k4bqVodro0PsPHgOW9nZTUG6mzrWLl LfIY0dy7Pmy7eyVzxBg+OZfil9dIu09eW5U0VhasL2atQV7VqnjuaYxnmuEHXvYdtEH2UopfWCX1 n9dSzrMlAQcvvP/kdKz25j20hY3LdNJKVNmzm2n4zIL74Tx5PIwg4WPTr9uZPg6MktGWyqsLBV8e ahvEluF4LE9OkxbDNto6mX14kHMdbswN4mzNOOp/Mp1bgZ/66V44ckVyAMofmsHd0wUZJ5v+1c3W Tz3B2pgAACAASURBVN2smJ2OfHY8hfKHsqT3a098xZKmYTYuzOSn31NDRxez93s4e9HN3Tp5EW7O 9DSqHxKrzVfg7R72qsZxes10yTgzvN/GU45ByWDo/LQfIylU/19yqBxDTh4pc3PiD/0UTB8vG3pD qdQ/+R1pp+FxSwfzjw/R+Mc+clRuNl2GH+Wq2X2fvGq8QoQ/tcoNS5t9E5bbVKT5jw6tPdLOEusQ neO0/OLJdCrf7WJvlprqZf4VZ89l6dxRYMfhwqcDCXBRJ+ZNNzKQVODYebEffVl/qEenp/PFQzcF DdrH505i+93yzpbmHScvX5ANyc6GfiqB3fffxI8k2h5y3u2iMrCD4g85DPAuOXPxcLvNwxvnfBiy 03nfH+Ym4XZ+UHLuxNgY/Uo01rzBnZ2f/vVkNs7LgItdzP6NhzkzJ1L9Q7EELo8L40UPG7+nDo2x VVncLYaNq5tH3utnr3WA1TGwzPnbm7GMmyCNccHr3b9uY9NXg/zqke9wPFuM+SH+c00WOaLvh5xs GkN7M0WZ3qHgDmcQiwkTuE/llvpBeiZCBQP4iwdRfSCFEvrfD9jdbO2Hn34vI3jGZqOfsNhFETs0 Yt49d3wQJk/g9YJY4YcqCh7JZPcHLjZ1DfJgVRf501X8olDLNJ2W6tvkufPAkqmsne0f9IyPPQeG CPbR9r/J5HH/rpJgZY40h8ZRv0aWIX424/zE1znopvpj0vPY8tpG6Uys685SNr9txvyFm7zZ7WOS nSr9GopfW4PaP8jtH2xjZ20L9mHIcrRJ/BWu20JhmIpxm2M/F50rVE54SLYcAi7HT/gVS8g+SKiH MpPW4d+8jSB3k/mQWNLRk6/X41islRaKLQP5st5XJbaNcqN1MA7KnttGwycNuB+Np5PiDI+wx5lT hZx102h1YYg+zxsIT/PnT9Y+DCOvJP+bIvD1HRl3H2K9sM+yj83P75Ng7OsWKxyDOHogGy/S2qZX eNkBS1VGO/tOPZxsYOfTG9EvWUnR/8wn1scqBvuEE9DHvu2bKfeKCeiSDKBBu1iRz8aw7n9jeG4H 5qNmmJ7PlsdDDoao23DPgmD3LrhnLuWnGyTevG6xLKBmcfBgmJqChwzUvW3F6RbcDkLGXHIjIhu8 8uqP//8g4fCEO1abB0G1gKXCiRFXRq7kHJmlg3BeeSVhwMz255tkvHrkVaLWNjdk+beDpYJenN2g uqsg6IiIxxEdmeal2dyArd2B2ymO0IMuSzbUAisWUrUBiydBfqnKwH9TF7IgowrT8VO4H3BSawX9 kgVY6xuoNbtZ5TqFFx1L9GqckuMWv88CJOP/qll8lz80TOyACJf3nkAY11SyMsBvq0pjDZWBBYEw vCkG5mWIr5c4wK1FrDHr75kXrEr/w+Wo60txOPvgFjFSQf9XucH3IjEo94K0+yZ6TB4rYPn37Wze K4byIC6xa/NlG25/HQuWFwadjrEvDKnJ/4FwYsSlYd6dKhrOOP1c+B9H/dwxbRz9X0qzi1+t+o5s /NGHUywADw3x4/J2yRDDI69Ot1zykuaBabdMkJyYcHIDAz5IHc8dwokR14RMfjyzjw/bh2Ua4lnq OOb530+T4vJ85P+lf2zeNB4DYavDwIo7Aob8eOaoYE7WhOAKc/ZNKSJyQDZCpQ0FHzvea2dgSDzz IVzAgUuiIePFwjdzbpkoOTGCDc0sFdOOD+HyiJ0Nsaybwo//2u+ISMyH/6eCy05O/GEQhxc6vpIt F/kAuGyoQryD7DAqLgl4C+cikBbtmzZVxb8tUEHAl5Gs5kCOFFYHFbyaeVlOaPdJfeC6IvdRQdCo D6z0B8pG/Sbird8nOSwX2vt5pFzeVb7QL+PgErsJgbC6KJKRt0MJxtogd/uN+gf0fgGqlcfIA7mB L3jJ46IxnKgYY4FIK81EVqv62eqO085xE3DZLvO7r4a4MuTjhEfsSspeg8BZXC4xEYU9P8b2SnNI lRp0ksJZvOq0hG8K+fo4B+i9gzz7nhcjqdQHz7/Eqk3Njx5WU9BxmUpjPy92eLmnvIPjP5nOtH55 rDAk5ELAkUk0BwT9FObF+bBFIFQ1FhcRzxLpEC+o5y8NfthHo5uLCjNu9yC4nZJ8HpPs7G7GZLHh cHtxnHNDhk4KwVXfLj4U00D1zqdpvDOfhx5dhX6qinjPI/iPe5OsHhqLDhe2/DdpI4gzKTZqT7sh exbebhcTZudCvYm6k23opUVbWe/Fs41kbRhuG2lZaNDQcFTur3CLJC50MV7IelHFrFuERk98JWsf JqaivP3vgECE/XtVDfbb5Vn6hczLUgU+UAHqHHkXI1aomL8i7fy1vLQph4rKailUaFu9WV61CRjY EQxlsfC+eaj8X8AQr2YtChi2mWQGfKS0WAfqZWMvRM4b4hOvP8xMfpueFjVFE/AfoheVCvAS9Tjh rZjhWXqWzJ+BN9jGTBaI1e4Yl7RyFHweVuGwjZKf7UIK8c7QIL52GGsXN1h0TPk1LL4vG9PBU1Ts a8aFjlWPFmH8pAFjbRVqrw3uXCPtrsnBMIn6LMhB/ITARBoLAaEf6kdZIMYvGvSZ/StPXn8Yg1RC 5V9xCy/uDdEOfxw5QVTkfn8Js1QBZxbUukWoVf4AwLBuCEuGk0ucDrZXhDULJyAGn0EKKaxdNo0c excfHvKw9XAXxx/xe3LCiJs0jp/cnio5BnKRFO6aPYGPTriZRkqQSkRiONKg1/jtoJjTMVBQ8Czl 8xtQgefidyhEb/RplMqPZ8tOiyj6YyBHfIIp6MqFaDExZYQjFtyADK9fhMSd6mDJ57JVa5iUAn3y 2ZKEbYqiwai4JOYtmtw0tYqc7HiOl/CaA5iCZoLcV4JfaVfMv7ofoDl6O+Lw5h+gd2WN58GbUkLj RDUynCpQV8zfuGMtHWxSfGZYewJGdoinUcdFVHtDPHgwfnCJp8R5KFLIn4R85iuUQUoF8RlTe8cx Xfhal4el8yYRu1OeAQ4kEj5x+Q0xFm+sCoe6w78WIDmTo9h6adNv4vFHIP9EB0uahjjQ7GZtYC0k VF1ycyBszIUVTc6RS0qHhIGmDtPRAUEZ+B2x3BnODdgPl7CzUg79FmHEdLshzS8npyzilZenSmdp jWeMlJwx+SMg4jy/JZK2fBcp8aVngnVpII2ih0S+ZHV4WHtjcRHz2Rjou8z12AQRew07nhcRHPLV fNiI+76i4IJbSL4GcoTbRoFn4b+x9WR4jkRp6yfijG462iT+CsXY7MNEtSrv/twRiDFrR2myKrDK 6s8XkE+aeRRKYTFxyqtiV6XNzWfDC/m4LVVsLKmj1uKK+wnhecsKiSGnsR3YLYX9iE/l2qw17D40 jy3LQnvLqjCeW6xiHV/DDDGRJGvbS8t5N4v8h+DsVmucBkQ99m+9Rj2NvI3T5shMYXcDWgqXFYY9 iJWUBYnb2iJtG0s5OlqlHSqRdn9eLzkxi9YXs0YKgWpm49PFUYTGBzfHkssfKq5btBj1wQoaTroQ 4VgzUJO/TI+x0oQ4pZT/UMC5lMvE67MQxWuUSgs2SVqNEh92UIuPMPjHZ+vvW2G+f6fuS+GEJXdF 6hsvWkMhhdGDsMcu7Yi1WdtBL79st4twhthjPrmaR1cYA2LlPHsq72e384jdQ5kwZPL8TspwKgV3 B7aoAjXKscdnOz3SCn/QyAu8Zlg6NC2+hCaAO9spG/2jGpvB8l8vYbh76ggHZaSilesI8iT5KD5a vvIyJ1vurZbLMt/Chf+oSZxHUGH5O61ki0hf3Qpt5cnEREhPwmtsuAR5i0czCWM3VlFpl8E7zIUh yJFoeKVQzlh54z0L8haQ2+oJFEhhbPFKJPE85liTInuTKByVJRybIQ8nxNmvrPCH/vy9boq7fOTf ns6vpBAsL5XvOhCbpRFXYAKPqb0TMNyWKjkyZaeusD3sU8stJwak3cLtfxHY7YBO2U+Wqr0gYpzi Xf6x2mjrY05elB4VZVQq/u3h8fz4vT5W/v/tnQtcVlW6uB8V+BQERPE6mogJxpiGkmZm4mTg30Ir bYimCzZ16NjRiqYcmzrqTMXYnHTSk0k1iTnFsbRS0xJrxMxrpmnmiKV9qaHlFVDg4+b/t/be35Xv hlwifb9+xt5rr/Wudz3rste7bnvZcb6Y2NE2g+lJpHLv/usA+Koai2OTYSvTftYBbxH4eFbXd4gS Z1NVW2EB/rWdxeS9r/bUJjLnL3pnfN8/H2XOFgcFI/qS9tBTpJ3dwzOPzWPtx3sYp04Xded+px7O PshVyT6zdZrYQWZdLv16hzsIbJQ+Anz24TZoO5ipT91OWE0FQS2DOLBmLgvWbWTbyTQSjUlS732j AHXQqvGrZF9BsbZCxfWtYvXh9q+1/qmHx/J5Y0sx9BijbxFwG8DZsS79Q9UD0KLzp2/mHI3c/cIJ 1KmnpTwf/Xw1+ceCrf1DKitN9O8In+XN5h/hvycpNpwD21bxVeCNTB7b19aRPPrlNvZVBlIWHk+8 MY29Z9kCtgZeybD4yyhT+x2ASDdfdIy9eghsWMvsZ/7B7+8cSXjpIfJW7eO6hx6k3+nVzFp1WNs/ MfU/hrH0mQzWvj+b/Pg5JEboXcmv1q/mYORgSvesZl7eYYgep88W9RlMDzaycd5sumbeS++TW5mX dwI6jUGthnBv0hiGhPkr9qgN9KfDSRzk0rM1XpqOaXasz7XLTDCDr41kY95qnlkYyIRRV1J1cCur 9gQy+aFxDqMnKmQYV8YGs/GL1cxZFsm4+GDyXlluExkYro/0Fny+lp1EsuPdN5xnZLTZnmK++kKN ap0gxJd/m2TjosNgBkfkaobjyFG60dJ1+Egi31EnxUQzJE5v+bzmmdNSPdcI3NxbOyFuHulOAXD2 K1Z/cZDBnYpY/coC7ZCEcSPioW0lQzrB2g3z+EePyYzpUcT/vbRWW5I4bECYrXy6itYwVR5iY8E+ Ao+VEX+NXlbWznqG4AcncGV4GVs/zCNw1GTGxfagbyBsy5vH0q4ZDGxzkJffV+NhPoZUXSOt4721 Uxr//4K565Vz/PXTEpL7dGZodBEUVJD54UkeGhAExyz841ALpt/SgaG/KgJzFf/14UmmDwjk8Dfl HGgXzO2XB4C5knHvHOejG1vz079LyVQHAsTqy8G0Nfx11M9f792NuH+be5zXrjMRVl7Fip1VJN/U id4+ljiZugUQRxWZH58ickQbwn8s5yF1eIG2eimATqq/eK6KvF1niCyt5B6zfqKZYqeWsKnf3pOV HDh8hp+KWjI0xllrq26euDj79u9u78kK8nectJW9isAAkgZ6maExxHbv0RIOV5P5/glmDw5k764y ba+G89CBfzoQEszdIWVkFpzj161rSO7RUisLW1qZePQ637rosbTxWtZqaeKzHiv7uVobzLqmfQ0r 1pWxEnipn14INEOupoYdB4voEXGe3sDK4xVs3neGku/KebIS+5HyVqPh32q0qpqwy9vWKb0dE9pw 165z/HPXWThXyV19WnH43+XagRPqEICx2n6SCtSqQLXnaeW+InoXVTBO++6Me8PY1COQeKqY+Wkx naggrlU1K76u4fZbjFMvq89jCmvH4oQKBm2v4v4Pz9j2L9lYVpcw/+1SOkYHMbBjSywlVbz2uZrG aUF8N/XNDn1K5+vvyjhQXU5xiK86YJPsdOHImjPnGdjxc/729zwuG5/JPdcaS36NED7fOU6SXW7a 1qXtNEby1QE2m3YSWbSDNzaopWW6YVS6Zzn/+BxGXjuQgLP7tCVrak+GJ3eCK7R368533mJnRBIn 1v+Dtaob4mm2wGv5rcs73Jh1Vf0ph35Rg/URTu/U0tHjliSiI+zvoPjkkQSve4O1a/eQeKv3vpG+ iqOYdR/spMPgSPZ8uIC1P0H0LSNd+iMu+el0W8m+L3bSJgwO7vlMO4CokjDS/nOcky9PN/72D1X4 g1/kc+D0Ue1wg0rzVtZ+fIjALoNJ7BfO6llPsPxsPM/+5R4czpf1FK24/wIJ1MmQUWNQh7esJtdx BESdFf7fkzkxex7b3lmA9VyM6OHX6Tja9mZYD9WRzGXOBggbHk58tBoZr+TQ9wVsK9jJtlW618hB afpGeBeQgbETmHzTYeat2saCWUYMgdFcaSkl96XlqP0RT2ibwGHCIw+y87EF5L60lGFP9dZWvZzY vZpZu/Xp1cAew5j6iDHrYerLlMlj+Mu81Syd/Ywea0Q8j04dZ6xMCjCmlB0VCmPg1T3YuC6febPy ISKRwYPUUdIOPzdpvleNztceArcF6jt+KmO+/wur1WlVW3TDJLhHIkU1EOxytlz8vZOJPziLnXlv sC8PAnv0I/rsHs24DIweR9qgneR+sZoFX6ilT4OJZxt7vjwA8fEE9xlCD7axcdE8bQZl2OS/efVv U9B2Ecx110aSnxdLovUQAlM/xsTCGwyxrYP2nGdqf5BNmO2i9iCKQ9EMDDT42t2c/auSeYLVr8zC yGUG32nd8BnIhMzJHH5mHtvemmeUzzDGZWbajn+0S7WpQ+zVg2FLPrmz1WxWJOHXPGsrK8sXzMHI IYZdozpKXbkncwIHZy1l7aI5aGZS/35U7XYd+rfLd9Zfubtq4b28qBD2792F8cfrK/jnp5XMXF/E q78JY/aJYjIPV7DysN6xiQsNpFiN5N/QlufeLuHJwxXkG89uj6vBNCCSj+J+ZPTeKka/ry8Jiu8U xP8aG+g1zR0Hxm0jvtY0OR4HW7uohzuGtSbXcDNF2+Me96ExVtuyJfGWSo+GjK0qhUXw0gB9+dg9 H2tHRTGpW0vmH1czAkEkjQwi8YMKMreq2agWPBrVijnmau1UqfiQYIb2LIFvKxn9YSW0DmRPTKBT NXXUrTYXfYbLSsD616ab1cHhr7Y8rKSKB7Y7OKoPYg6szczmw+AU1i+UV81FPKBOXlP6tmyhHUxg 9+e+A217bl0hozkEkZISzI5lpfx1Vxl/3aX7uj3KvuzLMZyn694jPJc1exfKCB3YAn2LlV1PjYeT 8PNkbtLzUTn/MaEtSaqDrk6k66wbcvd8XMqj14aTmVDJyu3V3PNpmbZje3o3mPmDfjCCqUcQKcpo 2Kp3yaYHt+GuuqS3VRjT76ih46py5nxr4Z/f6kqqj0G/dEukMUQRRNLgQDquqyTzUz2eSZcHsvdb /Rh0FcIpfSHteOnaSsZtquIhwz8tW5JsLCfTDwqAsIERvFF4knsOl7HycDApPeyzP5ysZGdJDfm7 rBusVCwtmH19GEO149WDuD+0jEyzhZVmiI8KZrGXOuDpGzu91eDC4UoUayV/+eBDHD5bzMmCY7UN Ga/vHOe9hzpFx9Yusg5tZyBj/mMC255ZyupF6nCbYOKH92Pnhq84cBbCDx9iz5Y92immWjydBpN5 azTH1qxy664+KJyWFM28vJ0smKV25YWRmNSPjZt0w0hvkR3aZR/vobq8w2nEPsLR3erbMcHcc419 VYrGI0Lt0X2D5Z/voPjWK733jYyM2rNqAXuM/lmPa9LIdFjpYs1L619FKtBphqmS/EUL9FMkFd0e g/n9f9o/1WANZ//ruJTa//6hmnn/7K1cNhorWTm8jaWH1b6sriT2C9ZOIuXsIdSBfvonF+wxytXF QaDF+fPn6/bm8pLuyrNqyELt7At2OglEBSk+WUxA2zDbaSM2MZZSitWmv8Awwtx0cG3+1EWNvn5T jZYHa+eMOz2tfWPZyeNTFtD73hk8OChS21DvKVyp+ihHaSXBEU4mSW2Zhkvp6WKqAtsQ5kUPj2n2 KFXtcFb7L9R/wbVZuYRTR0JXEUyYO501OYHaaWAuwaCmlOKiKtqEh9nzyZt/VwE1amNjoLN+7txU uLrmmWtcftzv+eejzNvSjxkv/J7IylK35U+JUeWzkjIC24bZttB4FX+2mOLKgFp8tbyntrsq+8Un i8AU6bsse424gR5WqCVkamg6AFOQ83ifOvqXwFagTn1yNDLUscDV1VgqWxEW4tCBaiCVvIrR4tab EFNd464oo/jseUzhxulXKtkO6bKcq8Ams7oSWtl5WIpLsbQK8J7en5OLKzQtX1tgalXGk/84x7dR wbyd5O8siqswUGy0ExVaW0+nq+3Hp4uXsuYzrOFBX/bXik33tCNM7Vlzo4/lXCkWVfds5aMSS8V5 TEFGWXXM9+oyis+dxxRiPRFNj6gu6bXusUoMbck13YIYm9CWjiH2sqNJrK6g+FwVptbBttPxvKZZ laVy9S2mVna9vQao/dBSUYbFODwgLMx1mZr+gUxTW3Van11Xb3WgdgxqJrOU4uoW6PKLeUOdpDjo Qf7XOJ20Vpi6vENqBa5b26na8kDru1et5rMO9tVUUqwOcXFtnz25Kz2MPkibCD/fC7V0d3Gowzu8 sfsILprZb330jUr3vMGj83Zyz8xnGRyh3my++yN24caVRfUT9GmsQDd9wlr+3TnUpX/oLrxyUzJU P8nbCJOnsOL+iyDgMNxQf331hsXecDpKDOtQa3xOf2yqQwFrqXfMA+tQINX4bmCbcG1DoPXIRke9 rNfBagem512YVm+2v8EOU7Y2R5cLj2l28ed0a1LrPI21nk4Pat8ER3iZKNXk1A6jubRUxo/LM2/+ XbzS0sWIUc/duRnuKr/qkmeu0fl7H67F49kQVeXTP7JGjG3D3C4O85z3gYR18JIn/iakofwF2Y+m dRVpCnHt/Bg+DMPGelyxa7hGvbcaVRdiPwW1Icx62pVS0sGIUbc2I0Z75txGmcKCnWZh3Kbx5+Ri U6iC/A/PUNI+iLj2sHmnfhyz434Nm9c6XDixqUM4J69eypqTPz9uwoKcO+COQTSjxNEB+9HamrNj vrdqQ5ib105d0mtq3ZKU0PMcOVfDXwvKtX8qno7AcTWDd08kplZBhFlPxnDSzcONKks+lkx6CGlz NgW18WI0GR/ItPnWL5zS7WDIu3iz34YE29q/gyvmsrGyB5Nv97KQsS7vEHssxlXd2k6bEaNCW40Y 7TqQsAjn+q1F0NKDu3pYlz6IJszH/+rwDm/sPoI3Tf3pGwW3Ddbe3W6IehOtPzOpfsIFhbTLboi8 UTLsEuXqIiTQoIZM8+MTSAcC7d8naX4KikYNQCCgTQdwNyvVALJFhBBoNgSqLew9Xs2cw/YlbXdd 3prb+3gwSpuN4n4qYmoBbezLzvwM1ajeOg6IZPYAPQpL8VmOfGdh78kafiqFsA7OyxAbVZGfWXj0 2KfIHvszKyHRNyABH30jbZe/6j3JTwg0fwINurSs+SdXNBQCQkAICAEhIASEgBAQAkLgYiDgOCl7 MaRH0iAEhIAQEAJCQAgIASEgBITAJUBADJlLIJMliUJACAgBISAEhIAQEAJC4GIjIIbMxZajkh4h IASEgBAQAkJACAgBIXAJEBBD5hLIZEmiEBACQkAICAEhIASEgBC42AiIIXOx5aikRwgIASEgBISA EBACQkAIXAIExJC5BDJZkigEhIAQEAJCQAgIASEgBC42AmLIXGw5KukRAkJACAgBISAEhIAQEAKX AAExZC6BTJYkCgEhIASEgBAQAkJACAiBi42AGDIXW45KeoSAEBACQkAICAEhIASEwCVAQAyZSyCT JYlCQAgIASEgBISAEBACQuBiIyCGzMWWo5IeISAEhIAQEAJCQAgIASFwCRAQQ+YSyGRJohAQAkJA CAgBISAEhIAQuNgIiCFzseWopEcICAEhIASEgBAQAkJACFwCBMSQuQQyWZIoBISAEBACQkAICAEh IAQuNgJiyFxsOSrpEQJCQAgIASEgBISAEBAClwABMWQugUyWJAoBISAEhIAQEAJCQAgIgYuNgBgy F1uOSnqEgBAQAkJACAgBISAEhMAlQEAMmUsgkyWJQkAICAEhIASEgBAQAkLgYiMQUNcEVVRWUVJa Tpmlkpqa83UN3qz8973mpmaljygjBISAEBACQkAICAEhIAQam0Bk+3bccP0Q/uu+VAb1v6Kxo2s0 +S3Onz/vtzVytszCqaJzjaZMUwsWQ6apiUt8QkAICAEhIASEgBAQAs2JwMvPP8m9v01pTir5rYvf hoyaiTl2sthvwb8Ej2LI/BJySXQUAkJACAgBISAEhIAQaEwCpebNjSm+0WT7vUdGLSeTnxAQAkJA CAgBISAEhIAQEAJCoDkQ8NuQUXti5CcEhIAQEAJCQAgIASEgBISAEGgOBPw2ZH7pG/ubA2zRQQgI ASEgBISAEBACQkAICIGGIeC3IdMw0YkUISAEhIAQEAJCQAgIASEgBIRA/QmIIVN/hiJBCAgBISAE hIAQEAJCQAgIgSYmIIZMEwOX6ISAEBACQkAICAEhIASEgBCoPwExZOrPUCQIASEgBISAEBACQkAI CAEh0MQExJBpYuASnRAQAkJACAgBISAEhIAQEAL1JyCGTP0ZigQhIASEgBAQAkJACAgBISAEmpiA GDJNDFyiEwJCQAgIASEgBISAEBACQqD+BMSQqT9DkSAEhIAQEAJCQAgIASEgBIRAExMQQ6aJgUt0 QkAICAEhIASEgBAQAkJACNSfgBgy9WcoEoSAEBACQkAICAEhIASEgBBoYgJiyDQxcIlOCAgBISAE hIAQEAJCQAgIgfoTEEOm/gxFghAQAkJACAgBISAEhIAQEAJNTEAMmSYGLtEJASEgBISAEBACQkAI CAEhUH8CYsjUn6FIEAJCQAgIASEgBISAEBACQqCJCYgh08TAJTohIASEgBAQAkJACAgBISAE6k9A DJn6MxQJQkAICAEhIASEgBAQAkJACDQxATFkmhi4RCcEhIAQEAJCQAgIASEgBIRA/QmIIVN/hiJB CAgBISAEhIAQEAJCQAgIgSYmIIZMEwOX6ISAEBACQkAICAEhIASEgBCoPwExZOrPUCQIASEgBISA EBACQkAICAEh0MQEmpchU1XE1xvXsm7j/ibG0JjRteD1EX14tNWFxNGCpQ/14CmTc9jIrsG8NsYo 5AAAIABJREFUfnN7Xh9t/BsRwnibnxY8NbI9b1qfjW7Pmze356lIu4zIyGCW3tOdLQ90Z+XoEIbY H3m9Gt8/nDdHBmMXpeLqwOsDA23hbuofzpr7erDlgW68fnWQ4d6Cx0e04/VRodwUYDgFBPL8qPa8 fHWQJq9WmpT+N7fnz11b2GQ7XsxZvIh12ZN1p+EzOWVez8Kxjj7cXFv9DXfzzF+ntMfYvOZVsnzF 5SQvic0Fm9mRleTkevHeBNCvWzTtLroE+pOPup+j7z1Wh9QnMGfuPDa/N4+pcXUI9jN7HTB2PBlp CY2iRWp6Oun1qadKK7d1NYaMSeNJbBSt7UKd2ie7c+NdNUTb1njaeZCcxHtr1lJq3qz92zE7xYO/ pnVuzHLdtCnxP7YGqW/+Ryc+hUCDErB2KxtU6IUI+/bD2dxw37N60F+/yP6PY7D1zS9EYDMJc3Nk JF1btyaoZ3seOH6WZSUVnPJTt/FxoXRv0wbTtSFMOWDhrUNVnAB6dwxhSN/2UFOFpboVpsAWDLm6 giE53/HEiRZEXx7JVaFAS6sRcB7TwTNwogbaBZOX3gMTFo4crSa6X3de73aMlNeLOOhDryv6dOaq XqeJW1fKp5rfFgwZFEn0oTLYUclNAzvy/G/aQ0kJR2raMGREL9a0/Y7kdVUMuaozVwRCx5++YdXu Gq7v34GbrgqHmlbEfX4cizVNnMdSCSZl+LWshq9P19YqLYuM4TEUbd5e+5k3l5PFWKoqIMKbJ+/P FmZMYEDUWfK/9e7P+ekpUPFeIr92sXfz9Nho3l3wNEtKLqZE+5ePqt0KDwvzK+EZsxeRdVsMrTXf Fey7HNjrV9Cf2VMCC/72BwYczSM7t4710JfmcU/y8owUjr1bSM6GPF++PT53V1cTZ/yJOekxLDmy jPwVHoPW78GFtk/1ibUB2rb6RH9BYSelkBzbFvPmfPLNJexavfKCxDRsoEYs1w2raMNJa6D61nAK iSQhUDcCzcSQsfDFC88yef779DP/Nxnb9dd63ZLS3HwH8PLwOPoF63q17d2de/pA13W7+bPPPm1L 3szooxsjQGh8dzIGQffsAp5QHcOq8+p/5L50gGcsEH1ZGEt/25VRI4JhWSn3vapmtFrw5sMxXHHk EAOXldngPD6iMybOkT3vCHMtkD6qB49f1ZkpXYt45KjNm9sLS1U11JzH4vBUGR2WauXQkonD20PR j9z36hm20oLXH4hhyKD2jF/3E5ZyIBCirwyB3SXcpowY9bMY8qxpmqenSX/o/v8L778WOMuCtHnO HtqnMGfutXShhPenPMcSh6fp6el0Dj7JjGfmssWpA6NGaK+kIL+E5PtH0jekgo/+OZ3sDQ6BrZdj ZzIuCoo2L2Wa0dlMnZROm68K6TlmGFd1hC9XTGemg/zEtPEMiQgl529zObPNTadsbDoLR/VCWe3m /DeZmVuX2cgArvt1IjFhrTl3aj9LCoywpq5c1zmUPYf2c8bQPTAihiGhVWw9dJDKgK7Et6viu+qu JPe5DM4dYsnXu62p1P+GxnBbn8sIDIAfvsnns9NVDs/bEn9ZN34qPEhE72HEhwfyw5Fd/KuwjPhu nfjVZcpSrKJTtxj6lbSmHcf5rNBH4XKQfqGXaiT1jqH9iWofRPlRM3+fkc0uQ9iAtPFcw/dYuiaR HBfK6b3rmDTbmh8JZEzqScFX8NvbE4hwU3585WPGjJmM7g5fflao1Q9V3P35XTMwitan9pN/pBuJ /a0zmP6EbAg/ScyZO0ybOSszb2fSbHtHMn1SOuTnkGOU8/RJGXQ+/QWzcrejWMRG9CdKWWwB7Zma nk7r9ia+/zybnA3gi/XUzJ5snb2MfC0JCUzNHMSPRtj0SePp3CNWN+w6qnzpRpfWsH52juHfz3TX qqsJTJ3Uk54DugEVdB6YTkZ3E10oZOb8lSSmpTMkwkTfAVGc2bWOXa0TGBdrYnnGdHLwlSZnnVzb J8WyZ+sO9I0N48tVG2mdOJK+mPlrpr18pk56jNF9lfFrYf2C52zcNb1MhczKsZZVpUs6t3QtYebs ZVrEnts2Xa/UzMe4Ja4blBby/pQXnNpFSCBrdgpRIXD6aCHr385mSaMb0jFkpF9J36F6Xph3b2db rebBc9lUqVLl0XRkHWfap3DL0EhOmwvIzsoh3ifrGNIzkxkR1Y3WVLBvs73N9VWunXO59p2vd0Fq Wjojru5FRAgcK9jOow71zVua9DYshulZv6NvCHy5eSNnIkIpyF9G/l70sssmZhnvDlVmRkSc1Mq1 VUtPZaDB6ps1IvkrBH4GAi3Onz+vesU+f4eO+TuP4FOUew+qnxQAh5fey3ULUtj/8YRGn5Hpe81N 7nVpCNegcD4Z2ZM9mwoIGtgL82f7eLVVAKEVVXzvS35oMDsyevDl2wcxpfyKA6+ZmRvUkrCSGm3W ZEhcJK+PCSc3+wDPaCPegaz5QzQdvzvMwGWlhvSWLH24D9FHXNwe6sMVASe578UTbFU+24Xw9f3d OZj3DSm7a7xq9vi43qT3LuaJ2cdZpUzgKoc48tB0xkGH6wd25uXftGVZ9nfE3deHK8otEFpF9msn ufP+HliKqokMLtJ0wUjTstcO8N9nINIwsU849p+VdsOf5NTiFCw736LrrYYho5ZVLE4yRrWNJFQV MmvseGZqL+Ukdnw7k76azAqWTBnBRKux4S4sZ3lxzI02Y8UKZf7q9aTHVTg8c5Rr9VXBmucf4Nb5 ulGx8JP1pPbWO6jmFc8RN8XeWUzMnMe7UxKc9N6V+xxDp9n9WKXW/hvD0w/eTT8182b9/bSbzEXv 8EPkaJZMHAaHNpK65CMwDeP1KaMJKdpLxiu5hPT/D2Yn97CG0v5WHtrKxCUfUKmKxGW38L+pg5Td afvtWT2fv3xt9DZCR/DPB0c5PVce3134EckTRxNiC2Vc1Bxm6guvYHZ1b8h7d/l4bj+Tfn2v1hF1 zAdrtOaPs4m7PweGz6R0scuyP0shM2PHM8vw7BjeNR8Xrl5Lalxbq1jtb3lBHu2Tpzu5ubsZEBfD rr37GTAjl83p3ZzLprsADeUWN5m9K+4kymEoq2hvHl3HKJ2T2GueCbbymsQO80z6mvMITpzOnNXr yYirbXSZ332OuMyVOLKyqmtjPXYmpXOTWD5lKGmqDhr3OlMLmwtmMqDWVLxLnbUK9fK3Vl012o1a Q2RVZiZdnsbgTzaT3ru2wPIDebS/Ybr3NDkGq9U+uWsj9AD7VjzHwCkrmb54GVOHq0699XeWJVNu 1NqohfmbSY06ycyom42ymMSOgpn0rdpD8K8f0PLKY9tGDAvXvEpqrENeVRWSPXE8j2oDNens/TbD qQxwJI/g63yXW6umF/TXXV0FrOUHr2VTxeieqXnFcsrHjDPaeWfNrKznf7KedKM9tvrY9+5zDMxc 6bNcW/27/+tOJ/u7IDUrl4VpUU5BndsId+FBrxdHWf3ZCyR2d8hHwKq3VkYC7Pm28JPNpPYuZFLU eHK8lgG1DLZh6ptTwuTmF0tALfP8Jf6azx4Z44VqcRrv/yUidda5a9cIurVuBa3glD9GjEPwX8WF 0L1NKwiCE4YR4/CYMG1EtAVTRrSnuxpnLHLt9Tv6Nq4V5xNluhGjnMr0GZGgEH828VRDy/Y8/4dY vn4klq//0EdbLqZJNmaZjh+yTzdZytVUTStaGx0Ty7HT/LskmIzf9SC05CRbj1ZrXOxaBjD+fiU3 lvWPqH8x/Nmxow7MeTxZG0l7b7bLbAxQbt7EmKihjJm7nfKAbjz4rLGHhjwGXj6U4Cl5eBopLz+Q z9CooUzMUQZIWxLHuaz9j3uMO+KCKN/7kbOBo5JoMTNrzFCC736LH6uCSL5/MgOMRE28YQTBUc+x T2WNU/YkMP33CbS2ho36H3ad00dbM+xAPF7dfPPt9AstZ82bM0n929NkrtgPnfpzX2xbOPERUz85 DJcN4y8Dh/HYXcq4OM28V3L1GZpqZa6A+bN3tLDZ208TeNkQHrxMFY62/H7MIALLDjNvztOk/m0h e0qg35hb6WfVpkKNaavfaRa/puKfRfaaj/n6zEbuU7qsVosUq7SlZUq31MY2YjRdClm/ZqmW/8FR Qxn6/HYIiWGKsS+pTGNfwZq59xIcNZn84xA1agLWLpsqF6r8qDIwJns7mLrxSK49JzzmY1qWZsSo TomKd9K7xqyYg4FgxeburzJi1K9vrc67O98N55b11wlEBSgekzW9l+ytIDwuiffS9TjKXcurBbTq DDw6RpXp6exTbgf0dKu0KyNG/byyPg3lVNjroXYPWnzkMTTWXk9VR03JDY5yGHjwB4G7urrhOdqr +p2rzGllGCm5Qwm+PE0zdLUSrQy1MXobsS/3OV7cW0HrnjEoJF7T5KCTp/bJ/O50xtjifo5dFujb PwHiHuPh4d1sbVfwtDyKaEvqE1ma1L+v2QN04JZpRnuUnqyVlX1rrCMxntu21Kw/aUbMvjXZelrv XklRQDfunabv30rNStaMmPznDRZTsnnxrY0OqWmkyw3T9bx41zkvrOXHV9lUWumrAGBrjl5GHs3J Y81mfaDFI2vg+12byJmhl/ngqHu1dqDvTXeS6ke59knDy7vgx8P7WZ77P0Z5HsqsDSdpHZvIQod9 YO7TVMCAaZM1I2bfxzla+JzdZ51UKauucHq3lKllzFUVqHUY3stAA9U3J23kRgg0PQE/X7dNr9gv PsaKYtYfKePGXp20pNw88tcM+u4of91/ih2+EldSxsfflHJTv86az/EZvRmy5xj//dE5uwFCADel x2KbUyor4q0NdiPCWxSWsw4zL8YgT3iIdT+Nt5DKTwmrVp+mOKAFlqoWjBrdnY4OQSrO2WWblAFH CyJDDdnVFXywv5QrBoVw4vMSjrSpvY/g4MbDfHpOW2kFVVW85bjHIm4yd/QPorxgJZPcLP0yb16j Lz+ZvYiCjAQGhNmPJdBUdLPdxqq6edsybRnSrk8KeDk9BlPHrtZH2t+sZ0drBtSSBS84uaubcvNX xszPPN7fP4GMmEjiwbasSS0XqfWLG6EtEygvsIZdRvZndzI/OZJrxkK2tZ9SK6By6Eh8lD62POTG KcRrtVifP+nULRoKdmPe8QpLLvsTqTeM1oyKfy2Zy2dOssrZsENfTvavDVu5K2E03dt1hMLLiAmF c998zWda5/8gi3ccZdaIjvw6FM2osYrZv2YxH2hLzs7yr93rrc62v7q5ZLv1fjH8SY6+loLJMJHs noPg+HY+ONWXCbFB9g6w1UMr2DL/McbMzubFK2eSlf8BUe1NUGUUbJODhWAp5MXZuuHw/Coziend iFKHNhjlQpUfbRlH1iJ2pScwoKvjKLmKsHY+pl6tj7KuydFNopzMdTxxWwxdrPo10t/UGYt4+a4o 0JZ1OkTSCo5tfos14RPI8MgrmzZRQWDZz4uz9f0tExdvIjUrkdiBKZBTO50OMfh36YO1VyFe6qnX cMZDb3XVU/g22gOLbX+SxVLA/20r5OE4tA6h/thD+bHWVW/tk+UUpw2sZ1asZMvDf2BAK0gc11+b kd23OVdvu3Knk/9QEuO6RGkGVE7WR5gz+jEgOQWytpN1mzJozrLmNZdZWzfMRg/Uy2bU1RP4bsfv tLKiakPr7lHaQMuSwydYSBTX3J/Le32/YsvmPKbN92O/k4+6mvVxGNO8lM24u7P1bHBbzBK4xmvZ 1NOt1eoDeYycod9nz9BnEnf8RVVT96xVpLMyl7Fw8WS+m6KWloHJmD7W819Xqz7/9/QuyJk/nSGz 57H38weJUMq3Mtonh/2a7tMEWe/pS/C2LNK5TfrbOu5YbD8YwZvuvsqA1t65KTv1YSBhhUBTExBD ptGIn+fPX3/Dn/cF8/ZvLif0ZBlde3XnWSr4f/udR1Rqq3CeJ5Yf5glTEGse6kX4j2V079edFzFz zUfW1v88W/PMfGppAcWV5By1GxC15Tm7mLq0YQjGrEyFvrLw+E9O0wXOAWx3LaGmggV7y4yDAVpw 1Y2qW402a6T+dIw2wV59T84RbQi3ioMnznOVemiCnLWnSIup4eMtFaD62E6/Cj7dUcrfrEl0egbT nx5LuBpNfek5lyf6rcUWriddTGrk199fBbtsBwdorxOXgBmkx7fVRp9tS9KsPlqp9+ZJ6x1dOgZp HQb7riTbI+eLy8O0pZPHDhfa3M1H/TNEtQDKRiw6ync/2i29H34I4NxJe6r/9U0hqX2ioeIoGw85 5q8yeso4Y+0Eh0Zoy8F+UILbhGrXP/143KbXmSI9NY6Gif4absDmY0MBOw9cSRcqXMyFIExVZ/np 633sM0ViUaOPDj+TKYgiIHHaq6zO6AeWs+wqMFNuimJIe6OzoPwrVS0nrDYLUV1dpvqAY8eti996 Eq7Kj5WPQ3y1Lo0yV37O+mQPRRZwXkRifdZwf/cVFFBwQJU1Zx5aB6kU9h3xxqsDXdTevWMn7PtO jpRo9UWfGbHqaatQVgf//vrB2j9BF+LLS131W1wF+97eT8TdDgH8SJOv9kmTVlXIcuC3hujOqr1Q MwUFxYYLHCuuQFnCeq1bxpq9U8iIG0QGan9XEJg3Oc8K20I6X+jhz1JwxN4+HVOTFudO6eedzJ9H ztCZ3DE4iuSx6l8KU9P9WBLpo66eKjjqtWw6a+l615Vwv8qmH+27C2u1H2jd7nkMCYMi8372HYW+ V8fQutrK2lWXOt57eRdkvbeWh9U75FQhBQcKMfVMIDzEpe6qQTE3UXYJU2XkBLtsg3fu3lFuAmqt vHL3UgbcBxNXIfCLItCAPZGGSbfJ2Bnjf1VtmHgbTUp1GWerKli74yB9hvdnaOe29Nx/1vc+GaWQ pZKSagur3izkioxYru/ZhmhbN6+agwUVXgZPrZvyHbdA1XC8BK4Ita8ojI4K1ohbHPu5PmAow0U/ 4ayFkVv62gvVpQ412Wd2bo5W+waqreuQtNkZLKUkZ+v7eB7HroceZUu7vFo6pJM6tK3aEW/f3+Li xz74/j3HLNDZ02q5Oo5ATX0tBXU0wfLXrAuRHCKuhvBOHWwOp0/pp6K5HyVz6BiuKKRoLnTpZR/1 HxLrMoNkk+rhorqQv370vvuHpmHMGhMNJWepDO3BH1NHc5faL6P9lEkSSifFR+V76WlUP1zrUpX8 pHX2O/1K5bI+e9Grmz5s6Lhnxn2kuus5oyz5618PtYwxY/TNy95ke3q28BM1U1bIpFi1LhyIm8mp 1Q77XpROwZG2A+vMp7TS6iSuS0dlfqg0f68bI57Kj60O2oN3Vms7td9QbRO8uw6J1Ye7vz9ai4af ZVPbS5XrTpLdzRj3tjvYrmJYnXYnfbt0044h1jbdX9nVaa+WqrZd+l4JGJvM3bBQKmuTrja5xoVP 1kH0HZgAKzyN/uswWrvh7BqV673Xugr8aKndeXSVod3bq7T+2GeafLdPmiCXN+6+b9U5lFH0jLWW PYjtohs31jbk0bd3kzEjgYz3Jmr7P3ble6kntcqPhffH3mvb6+Wc1v1MujuNScoxLoXVi54ksbe+ lE6rQ86eHe5819V/+CibDsJcLgs4dhrvZdMlhMdbF9aMTWFAmHXfiT6TM3+N2jPjLMFjuXb2VvvO 47sgieQr26L2H7U39h8NyMplc5q97a8tzO5iLiyB3pFcMxz9EBqHWRzlS1v22D3KVpfbuKYbb2VA Sbjw+mbXUq6EwM9HoFaR/9lUOfcTX5uP8e03h4ACNn29m07BPbm8l3G61c+m2AVGHBTOh8M68cW/ T9E1KIihPbvQNRgqDvlhxIQGs+W+DmzZcIbugSauH9GO7qFg2afPhNiWcqn3nd4GOSmZ3j+YaFoR 2QpM4cH8eWALDh4sJecM5H51hutHdOD50aU8saWap0arzvM5Ptjv/4yOU2TWm6oKth46z029uvN6 /+/IKWlDulr4X3SMBRZYoE/IWH17+NuKKwYG85RF71SrTtLeb3S9M7JTtFHuNTnTPISFvrdlMEet lhqToW0YNhcYJ3HFJTF1dDcIa09rguh8QzpTrzbpJyW5SnN5ScB47h3VAY5vIs3Ny1nD3zuZ1dO+ 4m1TEneo5Tzm/ca6e3UimjphrRsRqqZ1Vacw9aKddvpTNl8eTydZhZ1RwKKf+vOIMtQs+/nIulTF VTfb/XE+2HaaftcNYt7os2Rv/JrAyBhuvjaWnSte4YOSjvxx4mjacZrsBbM5OHgSs0YMY9bg/Uzd Zj1kO4Cbb7mFHe/vJmXCKEKoYs1hNVx7lJ0/3U5yr0QyYo/yQUk09yVEQNlBPrNP/tg0cXdxxnyQ SqJJTr6FHzYd5FzZXnY6nXrmLlT93PYVVmgv+99mpUNBKFOmuRz+oMQHRDF/8WRmrg5i+m1RUGVm vWJtrFO3lZ+xRvnZbe1oe8nHxdv5e1oUifcvYupXb9J3mpo1dD+y6jaFcSnMfzCBrperehhE33tn svDWYhZlvmCfLXEbsD6O+1m/6ySJoxSPx5j5zlkeuV8tWapgy3uqg5ekNSuteyeQlZZE+G8f1zrQ zrM1eew88icG9E5k9YwMthafYL3tJDJvrPUGK3Z4Ghlp/bjjcTf5tGE7ZksKfZMnMj+zFz+W6yeL +U6x97qqwud/YqY8PYZxD89jevc9lJ9eZzvtyad8T+UH8Kd9cid/1/wv+PGJBPreNlFru84M/R2J 7aF871dGGwLkrGTXtAQGxKsyW8j7M6zlUhkgntu2Sct3k/5EAlM/X0Tr2Us5FhHFuHGJtNmRzchp eQzIfIHc5CCWL8/nyyOhRBjGqs/ZZHcJaTA3X2WzHhFZB48GJjE1Ddol3km6OgjB6R3qo1x7id7z u8DMb4uVcdaP+ZNS2BV+LVnaxn//jOqZm79j6vAERj+VReqjm7j36UTnQQelkymKh6eNJzZsrH64 jJEmX2VAS84F1zcvMOSREGhCAs3GkLEczmPMqIeNpO8mbdRs0L4nc5eXUfomJFXXqCrL2V8EIwb8 SgvZp28nzh47xlP/9rWsTA2xVLL3BNz4G33E5oqrO1Ny6BiPfODY4noyPFoyfmQPoq3D4e0jGf8b NYPyDTk7avj08x9ZdVkQN/Xrweva7u0KPl1ZSI4xiu41mdU1tdfkOwR44t3viP59NEOSovWPbFYW kf1GESeMmZeSc85rdSzW3Y02GS24algPfRma4XZFtdL7JjJu6AantjPDy1BhOd3IyJqphSxXx8lm 6COXqfdP1DuuhszE9Axt9Mq8opCcd2yR6xfWhezGOrX0uRM0Ayp/ofvxbW3m0AKJGU9qMlF7A542 Zm6G/46sJxw6akNTmDNU7bLvph1je2vmUva+NoHE9D/oYavOsiTrWZfjUV30M253bp7LkvAppF45 gqevHKG71pxmWwVcN/Ju4kNh24pX+Jd6sm0+H/Sazs0j0rj538+y05AR1H0Qs6YM0u7M295hiTGa +/r/fUDsAzfzm7ET+Y16WnOaJf+3GG3pmRHW6yvY8gVrvhnEzX0GMbnXIKg4SOaLC53CG2Ia7M+s d9Zx7+AUEtP0vEUbeddHtu2RVBA1/E5jg20F+XNfsHcWNePDsfxsYpL1hDlv+Zg4nRnv9mfObTFM X6yXPS0+f+qT8nh5AneMtZeRAaOSGKD2CeW/0HjfOVF7Be6fy4j8P5E4fIKNx6535xp7z/LIyZ/I nOQoHlb1yfYNJMf2B7KXbeLWhxNJTE/Xyu+4jiUMnGY9JtgD6w1LWV6QTGrstczJuhZbPtnXhWqz QEvyJzI1OYr0KWqrfQVRX61kom1pjT1HHa981VXN74aVrCm4lnGxCUx9IgEsiZhz0/RlXM7Nk74M 0SkfPaSJFL/aJy1+J3nKJYc/Zg/i5YwEW9vFqf1MG+O4fDaPj7ZNYcDwDpTv/8JpdsVr2zZlMo/2 XUTW2BimZj1pQ7U1Xz+BNCIskqjYGB5WHLRfBbveXepX+2MT1ggX3stmHSKsxTqb93cmkRGfwPQs Pc3KOHc9yc57ufYcv7d3waIVe7gmvR/pT+j5oA7w9LtjM38yOTd+QHp8IgtX1/6Ua3buJu6YkUhy xh9IVu2YliajhZ7vvQzoqcnjQuqbZxLyRAg0LYHmc/xy06Zbi61Rj1+2pacV/7wxlv3r9/rx/Rhb IOOiJSsze/LvV7/Tvx/j+rge99HtWnJFQEtOnKliq9HgD2kXYDv2uJboqhpWnfFkPDn7HhIZQCQ1 bD1Ro33A0/lp3e/S5y5j/thubJ17LyONzdqepCSmqZmbo+Q0yEf6xrPX/AeiircztP9kh8371tj1 IzN5ZzoDF0PGABNbcle68Wf17/5vatp42qnR8AsIi6kj/UIDOF1Swg8WP4xk4Ffq+OUbK8l4YSEh EdEElh7E7NxH1RT9VUQ0EZRRcPqodiyze+2bl2tqWgptzh0lx2XZknYkMGsIviGP9PSumHNW2mc8 tONgE1l+9wj+HpFCfMgFlJ/hSWT0NlHgKLd5oXGrTeLYFGLbQ8G2ldo3KZw8DU8hozdsUTMCTg+8 33hlbQTVvtlBCdm5VsPHu0zfT33VVd8SvPnwlqa6tE+e40ggPb0nWL5voLbLMSZD9qnv2bliu0te xpA4Nlb7jow516FOOAb/ma69ls366DQ8ifTuJsy73JT5C5brz7sggfS0rpQdKWDJBn3Zbl2iUzyi VNt0JEn7BIE6rlodG63/EshI78qZbSs9fAfIWxmoixbi92Im8Es9frnZzMhczIWj5FwFfq7KqYWh uKQS+zbQWo8v2OHgGfVNGkfDpCVP3d+baI8Sz1DyPz/yqcfn9gdba338xf7sQq7MH+fw6GYL2X58 LDI/19qwX0hMrmG+5/kZ/0OZcaKZ61PtPgBah6gDDlaSfYEfkluS62XNu9tIHRwtx9njxghx8OHm MgBaBmgfQjSfti41q+3th9MHG3UWpXaM9XdZ4in/1SlBAWrMdDs5bmb11JJDtYFm14ps5qD3AAAE pklEQVS6ddptGm/Ic/8RVZuH5nmRv8JL53XDygtLkw/WikR+rvWDmA3FxY+6Wp+ovKSpLu2TZxVU uXRYMubZ4wU88SZ7P/nq6PZm+PNaNuuj74Y8p5nY+ohyCuvzXbCdHDfLk51keLlRPLTf2BRtFsl5 Jmk72W7aNbs4b2XA7kuuhMAvkYAYMo2ea9X856ZvLzCWGn736pELDFvXYDU8k3NA+x5N7Y3KLWhN tV9GTF1j9cd/o73QfEbuq/E/RUGBmdZm40ORPuU1Dw/nzhzC/A36N2Wah0qNroX52/3sw35CnFOE JwvZZd6vbTJ2cpebCyLglfUFSfQnkK+66o8Mz368penna5886ytPmppAE74LThey60ghx478st47 TZ0jEt+lQ0CWll06eS0pFQJCQAgIASEgBISAEBACtQj8UpeWuZ5/Wyth4iAEhIAQEAJCQAgIASEg BISAEGhuBMSQaW45IvoIASEgBISAEBACQkAICAEh4JOAGDI+EYkHISAEhIAQEAJCQAgIASEgBJob ATFkmluOiD5CQAgIASEgBISAEBACQkAI+CQghoxPROJBCAgBISAEhIAQEAJCQAgIgeZGQAyZ5pYj oo8QEAJCQAgIASEgBISAEBACPgmIIeMTkXgQAkJACAgBISAEhIAQEAJCoLkREEOmueWI6CMEhIAQ EAJCQAgIASEgBISATwJiyPhEJB6EgBAQAkJACAgBISAEhIAQaG4ExJBpbjki+ggBISAEhIAQEAJC QAgIASHgk4AYMj4RiQchIASEgBAQAkJACAgBISAEmhsBMWSaW46IPkJACAgBISAEhIAQEAJCQAj4 JCCGjE9E4kEICAEhIASEgBAQAkJACAiB5kZADJnmliOijxAQAkJACAgBISAEhIAQEAI+CYgh4xOR eBACQkAICAEhIASEgBAQAkKguREQQ6a55YjoIwSEgBAQAkJACAgBISAEhIBPAmLI+EQkHoSAEBAC QkAICAEhIASEgBBobgTEkGluOSL6CAEhIASEgBAQAkJACAgBIeCTgN+GTMuWLXwKEw9CQAgIASEg BISAEBACQkAICIGmIOC3IdPGFNgU+kgcQkAICAEhIASEgBAQAkJACAgBnwT8NmRCg1v7FCYehIAQ EAJCQAgIASEgBISAEBACTUHAb0MmKDCA9uEhTaGTxCEEhIAQEAJCQAgIASEgBIRAExB4+fknmyCW xokioC5i27YxERTQipLScsosldTUnK9LcPErBISAEBACQkAICAEhIASEwM9MILJ9O264fgj/dV8q g/pf8TNrc+HRtzh//rxYIxfOT0IKASEgBISAEBACQkAICAEh8DMQ8Htp2c+gm0QpBISAEBACQkAI CAEhIASEgBBwS0AMGbdYxFEICAEhIASEgBAQAkJACAiB5kxADJnmnDuimxAQAkJACAgBISAEhIAQ EAJuCYgh4xaLOAoBISAEhIAQEAJCQAgIASHQnAmIIdOcc0d0EwJCQAgIASEgBISAEBACQsAtATFk 3GIRRyEgBISAEBACQkAICAEhIASaMwExZJpz7ohuQkAICAEhIASEgBAQAkJACLgl8P8BeQrzzz7T XXAAAAAASUVORK5CYII= --001a1142feeee5fdcd055136ae61--