*** retrieve Truststore and Keystore password
*** actual launch of AAI Babel
04:54:31,248 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2fd66ad3 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/classes!/logback.xml] is not of type file
04:54:31,601 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/classes!/logback.xml] 
04:54:31,601 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
04:54:31,617 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
04:54:31,617 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2fd66ad3 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
04:54:31,623 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
04:54:31,623 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2fd66ad3 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
04:54:31,627 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
04:54:31,628 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
04:54:31,628 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
04:54:31,643 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
04:54:31,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
04:54:31,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
04:54:31,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
04:54:31,644 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
04:54:31,645 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
04:54:31,645 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
04:54:31,647 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
04:54:31,647 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2fd66ad3 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
04:54:31,651 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:54:31,657 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
04:54:31,682 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:31,750 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
04:54:31,750 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@2fd66ad3 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
04:54:31,753 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:31,759 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
04:54:31,762 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:31,786 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
04:54:31,792 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
04:54:31,794 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
04:54:31,798 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
04:54:31,798 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
04:54:31,808 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:31,815 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
04:54:31,815 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
04:54:31,817 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:54:31,818 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
04:54:31,819 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
04:54:31,820 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:31,820 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
04:54:31,822 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
04:54:31,822 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
04:54:31,825 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log.zip'.
04:54:31,825 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:31,826 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:31,827 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:31,828 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
04:54:31,828 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
04:54:31,829 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:31,832 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
04:54:31,835 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
04:54:31,835 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
04:54:31,836 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
04:54:31,837 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:31,837 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
04:54:31,839 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
04:54:31,839 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
04:54:31,840 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log.zip'.
04:54:31,840 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:31,841 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:31,841 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:31,846 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
04:54:31,846 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
04:54:31,847 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:31,847 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
04:54:31,847 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
04:54:31,847 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
04:54:31,847 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
04:54:31,848 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:31,848 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
04:54:31,849 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
04:54:31,850 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
04:54:31,851 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log.zip'.
04:54:31,851 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:31,852 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:31,852 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:31,854 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
04:54:31,854 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
04:54:31,854 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:31,854 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
04:54:31,855 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
04:54:31,855 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
04:54:31,855 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
04:54:31,856 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:31,856 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
04:54:31,857 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
04:54:31,857 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
04:54:31,858 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log.zip'.
04:54:31,859 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:31,859 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:31,860 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:31,861 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
04:54:31,861 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
04:54:31,861 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:31,862 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
04:54:31,879 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@48524010 - Expression to evaluate [e.level.toInt() < INFO.toInt()]
WARNING: An illegal reflective access operation has occurred
WARNING: Illegal reflective access by org.codehaus.groovy.reflection.CachedClass (jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/groovy-2.5.15.jar!/) to method java.lang.Object.finalize()
WARNING: Please consider reporting this to the maintainers of org.codehaus.groovy.reflection.CachedClass
WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations
WARNING: All illegal access operations will be denied in a future release
04:54:32,925 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
04:54:32,925 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
04:54:32,925 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
04:54:32,926 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:54:32,926 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
04:54:32,927 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
04:54:32,927 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
04:54:32,927 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
04:54:32,927 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
04:54:32,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
04:54:32,928 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
04:54:32,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
04:54:32,929 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
04:54:32,930 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6bbe85a8 - Registering current configuration as safe fallback point
04:54:33,835 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting. 
04:54:33,839 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
04:54:33,840 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting. 
04:54:33,844 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
04:54:33,846 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting. 
04:54:33,847 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
04:54:33,877 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting. 
04:54:33,880 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
04:54:33,835 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting. 
04:54:33,839 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
04:54:33,840 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting. 
04:54:33,844 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
04:54:33,846 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting. 
04:54:33,847 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
04:54:33,877 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting. 
04:54:33,880 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
04:54:33,912 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml] 
04:54:33,912 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
04:54:33,916 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] to configuration watch list.
04:54:33,916 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1205bd62 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/base.xml] is not of type file
04:54:33,920 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] to configuration watch list.
04:54:33,920 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1205bd62 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/defaults.xml] is not of type file
04:54:33,924 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
04:54:33,924 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
04:54:33,924 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
04:54:33,925 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
04:54:33,925 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
04:54:33,926 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
04:54:33,927 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
04:54:33,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
04:54:33,927 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
04:54:33,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
04:54:33,927 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
04:54:33,927 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
04:54:33,928 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
04:54:33,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
04:54:33,928 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
04:54:33,928 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
04:54:33,928 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
04:54:33,929 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] to configuration watch list.
04:54:33,929 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1205bd62 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/console-appender.xml] is not of type file
04:54:33,932 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:54:33,932 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
04:54:33,933 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:33,935 |-INFO in ch.qos.logback.core.joran.util.ConfigurationWatchListUtil@5e57643e - Adding [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] to configuration watch list.
04:54:33,935 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1205bd62 - URL [jar:file:/opt/app/babel/babel-1.9.6.jar!/BOOT-INF/lib/spring-boot-2.1.12.RELEASE.jar!/org/springframework/boot/logging/logback/file-appender.xml] is not of type file
04:54:33,938 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:33,938 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
04:54:33,939 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:33,940 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1439632660 - Archive files will be limited to [10 MB] each.
04:54:33,941 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1439632660 - Will use gz compression
04:54:33,942 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1439632660 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
04:54:33,943 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@b83a9be - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
04:54:33,943 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@b83a9be - Roll-over at midnight.
04:54:33,943 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@b83a9be - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:33,944 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
04:54:33,944 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
04:54:33,944 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:54:33,985 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating INFO level on Logger[ROOT] onto the JUL framework
04:54:33,985 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
04:54:33,985 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
04:54:33,986 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:33,986 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
04:54:33,987 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@533810548 - Will use zip compression
04:54:33,988 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@533810548 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
04:54:33,989 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log.zip'.
04:54:33,989 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:33,989 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:33,989 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:33,990 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
04:54:33,990 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
04:54:33,991 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:33,991 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
04:54:33,991 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
04:54:33,991 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
04:54:33,991 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
04:54:33,996 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:33,996 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
04:54:33,997 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1446922577 - Will use zip compression
04:54:33,997 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1446922577 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
04:54:33,998 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log.zip'.
04:54:33,998 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:33,998 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:33,998 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:33,999 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
04:54:34,000 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
04:54:34,000 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:34,000 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
04:54:34,000 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
04:54:34,000 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
04:54:34,000 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
04:54:34,004 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:34,004 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
04:54:34,005 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1080476785 - Will use zip compression
04:54:34,005 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1080476785 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
04:54:34,006 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log.zip'.
04:54:34,006 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:34,006 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:34,006 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:34,007 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
04:54:34,007 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
04:54:34,008 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:34,008 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
04:54:34,008 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
04:54:34,008 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
04:54:34,008 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
04:54:34,010 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
04:54:34,010 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
04:54:34,010 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@722951168 - Will use zip compression
04:54:34,011 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@722951168 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
04:54:34,011 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - The date pattern is 'yyyy-MM-dd' from file name pattern '/var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log.zip'.
04:54:34,011 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
04:54:34,012 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Tue Sep 13 04:54:31 GMT 2022
04:54:34,012 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:34,013 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
04:54:34,013 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
04:54:34,013 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:34,013 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
04:54:34,014 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@3eb81efb - Expression to evaluate [e.level.toInt() < INFO.toInt()]
04:54:34,121 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
04:54:34,121 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
04:54:34,121 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
04:54:34,122 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
04:54:34,122 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
04:54:34,122 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
04:54:34,125 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
04:54:34,125 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
04:54:34,125 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
04:54:34,125 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
04:54:34,125 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
04:54:34,126 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
04:54:34,126 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
04:54:34,126 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
04:54:34,126 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
04:54:34,126 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
04:54:34,126 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
04:54:34,126 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
04:54:34,126 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
04:54:34,126 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
04:54:34,126 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
04:54:34,126 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
04:54:34,127 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
04:54:34,127 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
04:54:34,127 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
04:54:34,127 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
04:54:34,127 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
04:54:34,127 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
04:54:34,127 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
04:54:34,127 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
04:54:34,127 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
04:54:34,127 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
04:54:34,127 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
04:54:34,128 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
04:54:34,128 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
04:54:34,128 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
04:54:34,128 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating INFO level on Logger[com.att] onto the JUL framework
04:54:34,128 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
04:54:34,128 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.springframework] onto the JUL framework
04:54:34,128 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
04:54:34,128 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
04:54:34,128 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
04:54:34,128 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
04:54:34,129 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
04:54:34,129 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache] onto the JUL framework
04:54:34,129 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
04:54:34,129 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
04:54:34,129 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
04:54:34,129 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
04:54:34,129 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
04:54:34,130 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
04:54:34,130 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
04:54:34,130 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
04:54:34,135 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
04:54:34,135 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
04:54:34,135 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
04:54:34,135 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
04:54:34,135 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
04:54:34,135 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.restlet] onto the JUL framework
04:54:34,135 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
04:54:34,135 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
04:54:34,136 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
04:54:34,136 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
04:54:34,136 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
04:54:34,136 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@7ef27d7f - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
04:54:34,136 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
04:54:34,136 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@662706a7 - Registering current configuration as safe fallback point

  .   ____          _            __ _ _
 /\\ / ___'_ __ _ _(_)_ __  __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
 \\/  ___)| |_)| | | | | || (_| |  ) ) ) )
  '  |____| .__|_| |_|_| |_\__, | / / / /
 =========|_|==============|___/=/_/_/_/
 :: Spring Boot ::       (v2.1.12.RELEASE)

2022-09-13 04:54:34.624  INFO 10 --- [           main] org.eclipse.jetty.util.log               : Logging initialized @4196ms to org.eclipse.jetty.util.log.Slf4jLog
2022-09-13T04:54:34.624Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @4196ms to org.eclipse.jetty.util.log.Slf4jLog
2022-09-13 04:54:37.767  INFO 10 --- [           main] org.eclipse.jetty.server.Server          : jetty-9.4.25.v20191220; built: 2019-12-20T17:00:00.294Z; git: a9729c7e7f33a459d2616a8f9e9ba8a90f432e95; jvm 11.0.9+11
2022-09-13T04:54:37.767Z||main|||||INFO|org.eclipse.jetty.server.Server||jetty-9.4.25.v20191220; built: 2019-12-20T17:00:00.294Z; git: a9729c7e7f33a459d2616a8f9e9ba8a90f432e95; jvm 11.0.9+11
2022-09-13 04:54:37.817  INFO 10 --- [           main] o.e.j.s.h.ContextHandler.application     : Initializing Spring embedded WebApplicationContext
2022-09-13T04:54:37.817Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2022-09-13 04:54:38.118  INFO 10 --- [           main] org.eclipse.jetty.server.session         : DefaultSessionIdManager workerName=node0
2022-09-13 04:54:38.118  INFO 10 --- [           main] org.eclipse.jetty.server.session         : No SessionScavenger set, using defaults
2022-09-13T04:54:38.118Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2022-09-13T04:54:38.118Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2022-09-13 04:54:38.120  INFO 10 --- [           main] org.eclipse.jetty.server.session         : node0 Scavenging every 600000ms
2022-09-13T04:54:38.120Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 600000ms
2022-09-13 04:54:38.130  INFO 10 --- [           main] o.e.jetty.server.handler.ContextHandler  : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@60c16548{application,/services/babel-service,[file:///tmp/jetty-docbase.14221682480908035704.9516/],AVAILABLE}
2022-09-13T04:54:38.130Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@60c16548{application,/services/babel-service,[file:///tmp/jetty-docbase.14221682480908035704.9516/],AVAILABLE}
2022-09-13 04:54:38.131  INFO 10 --- [           main] org.eclipse.jetty.server.Server          : Started @7707ms
2022-09-13T04:54:38.131Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @7707ms
2022-09-13 04:54:39.936  INFO 10 --- [           main] o.e.j.s.h.ContextHandler.application     : Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-09-13T04:54:39.936Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-09-13 04:54:40.254  INFO 10 --- [           main] o.e.jetty.util.ssl.SslContextFactory     : x509=X509@6ff6efdc(aai@aai.onap.org,h=[aai, aai-babel, aai-babel.onap, aai-graphadmin, aai-graphadmin.onap, aai-modelloader, aai-modelloader.onap, aai-search-data.onap, aai-sparky-be.onap, aai.api.simpledemo.onap.org, aai.elasticsearch.simpledemo.onap.org, aai.gremlinserver.simpledemo.onap.org, aai.hbase.simpledemo.onap.org, aai.onap, aai.searchservice.simpledemo.onap.org, aai.simpledemo.onap.org, aai.ui.simpledemo.onap.org],w=[]) for Server@2b289ac9[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-09-13T04:54:40.254Z||main|AAI-BAS||||INFO|org.eclipse.jetty.util.ssl.SslContextFactory||x509=X509@6ff6efdc(aai@aai.onap.org,h=[aai, aai-babel, aai-babel.onap, aai-graphadmin, aai-graphadmin.onap, aai-modelloader, aai-modelloader.onap, aai-search-data.onap, aai-sparky-be.onap, aai.api.simpledemo.onap.org, aai.elasticsearch.simpledemo.onap.org, aai.gremlinserver.simpledemo.onap.org, aai.hbase.simpledemo.onap.org, aai.onap, aai.searchservice.simpledemo.onap.org, aai.simpledemo.onap.org, aai.ui.simpledemo.onap.org],w=[]) for Server@2b289ac9[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-09-13 04:54:40.453  INFO 10 --- [           main] o.e.jetty.server.AbstractConnector       : Started ServerConnector@1f2d2181{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-09-13T04:54:40.453Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@1f2d2181{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-09-13T06:07:01.088Z|[7eef7773-196c-4bfc-bf70-dd6a3c39b1da]|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[7eef7773-196c-4bfc-bf70-dd6a3c39b1da]], Content-Length=[100401], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicOnboardZckgwz-csar.csar","csar":"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"}
2022-09-13T06:07:01.110Z|[7eef7773-196c-4bfc-bf70-dd6a3c39b1da]|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[7eef7773-196c-4bfc-bf70-dd6a3c39b1da]]
2022-09-13T06:07:01.112Z|[7eef7773-196c-4bfc-bf70-dd6a3c39b1da]|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned dce9f43a-0d05-40a9-b04a-50591b6dc0bb
2022-09-13T06:07:01.144Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-09-13T06:07:01.151Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicOnboardZckgwz-csar.csar
2022-09-13T06:07:01.256Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardZckgwz-template.yml
2022-09-13T06:07:01.266Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardZckgwz-template-interface.yml
2022-09-13T06:07:01.267Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extneutroncp-template.yml
2022-09-13T06:07:01.269Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Securityrules-template.yml
2022-09-13T06:07:01.270Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiconboardzckgwzComputeNodesHeatUbuntu18-template.yml
2022-09-13T06:07:01.270Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardZckgwz-template.yml
2022-09-13T06:07:01.280Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardZckgwz-template-interface.yml
2022-09-13T06:07:01.284Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardZckgwzNodesUbuntu18cvfc-template.yml
2022-09-13T06:07:01.286Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardZckgwzNodesUbuntu18cvfc-template-interface.yml
2022-09-13T06:07:01.290Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-09-13T06:07:01.298Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-09-13T06:07:01.299Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-09-13T06:07:01.300Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-09-13T06:07:01.300Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-09-13T06:07:01.302Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-09-13T06:07:01.303Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-09-13T06:07:01.304Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-09-13T06:07:01.306Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-09-13T06:07:01.308Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.vf.BasicOnboardZckgwz_v1.0/Deployment/HEAT/base_ubuntu18.yaml
2022-09-13T06:07:01.315Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 19 CSAR artifacts.
2022-09-13 06:07:01.840  INFO 10 --- [tp1056185446-24] org.reflections.Reflections              : Reflections took 92 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:07:01.840Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 92 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13 06:07:02.296  INFO 10 --- [tp1056185446-24] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:07:02.296Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_security_groups" is not provided
Log warning: The required parameter "compute_ubuntu18_user_data_format" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_ubuntu18_metadata" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "compute_ubuntu18_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network" is not provided
Log warning: The required parameter "compute_ubuntu18_key_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role_tag" is not provided
2022-09-13 06:07:05.938  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:07:05.938Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13 06:07:05.939  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.939Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.939  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-09-13T06:07:05.939Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-09-13 06:07:05.940  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_zcKgWz 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.940  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.940Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_zcKgWz 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.940Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.940  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.940Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.940  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.940Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.941  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.941Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.941  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.941Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.941  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13T06:07:05.941Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp6370242018849630370.csar
2022-09-13 06:07:05.941  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:07:05.941Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:07:06.443Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-09-13T06:07:06.507Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-09-13T06:07:06.540Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 3 XML artifact(s) have been generated
2022-09-13T06:07:06.543Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-09-13 06:07:06.551  INFO 10 --- [tp1056185446-24] org.reflections.Reflections              : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:07:06.551Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_order" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_security_groups" is not provided
Log warning: The required parameter "compute_ubuntu18_user_data_format" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_ip_requirements" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_vlan_requirements" is not provided
Log warning: The required parameter "compute_ubuntu18_metadata" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role" is not provided
Log warning: The required parameter "compute_ubuntu18_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_related_networks" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network" is not provided
Log warning: The required parameter "compute_ubuntu18_key_name" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_subnetpoolid" is not provided
Log warning: The required parameter "port_ubuntu18_admin_plane_port_0_network_role_tag" is not provided
2022-09-13 06:07:08.849  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:07:08.849Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13 06:07:08.850  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.850  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-09-13T06:07:08.850Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.850Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-09-13 06:07:08.850  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_zcKgWz 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.850Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_zcKgWz 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.850  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.850Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [nfc_function]. CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.851  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.851  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.851Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.MacRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.851Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.AssignmentRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.851  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.851Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.851  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.851Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_ubuntu18" are missing field(s): [unit, type]. CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.851  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13T06:07:08.851Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.PortMirroringConnectionPointDescription" is missing required field(s) "[nf_naming_code, pps_capacity, nf_type, nfc_type]". CSAR name - /tmp/temp8078650363081623929.csar
2022-09-13 06:07:08.852  WARN 10 --- [tp1056185446-24] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:07:08.852Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:07:08.854Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-09-13T06:07:08.869Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-09-13T06:07:08.880Z|dce9f43a-0d05-40a9-b04a-50591b6dc0bb|qtp1056185446-24|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_onboard_zcKgWz-service-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>8634c5e7-5553-4fe1-a037-8d8bda6b946f</model-invariant-id>\n    <model-type>service</model-type>\n    <model-role>Network Service</model-role>\n    <model-vers>\n        <model-ver>\n            <model-version-id>4e921079-0e6b-4a5a-9172-7a05d26eb5ac</model-version-id>\n            <model-name>basic_onboard_zcKgWz</model-name>\n            <model-version>1.0</model-version>\n            <model-description>service</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>acf00210-f655-4bc4-aba8-a77d8c7c32bd</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>5fe2c4f8-b769-4fe9-a879-95af1c1b5a7c</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>46b92144-923a-4d20-b85a-3cbd847668a9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>82194af1-3c2c-485a-8f44-420e22a9eaa4</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-BasicOnboardZckgwz..base_ubuntu18..module-0-resource-1.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>58e80d06-1aa4-4be0-ab28-eadf32873de4</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>fa3c6104-2373-49be-96ac-67518e055dda</model-version-id>\n            <model-name>BasicOnboardZckgwz..base_ubuntu18..module-0</model-name>\n            <model-version>1</model-version>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements>\n                                <model-element>\n                                    <new-data-del-flag>F</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>f6a038c2-820c-42ba-8c2b-375e24e8f932</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>3f4c7204-739b-4bbb-87a7-8a6856439c90</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                                <model-element>\n                                    <new-data-del-flag>F</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>abcc54bc-bb74-49dc-9043-7f7171707545</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>97c26c99-6870-44c1-8a07-1d900d3f4ce6</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                                <model-element>\n                                    <new-data-del-flag>F</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>36200fb5-f251-4f5d-a520-7c5ad5c2cd4b</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>bace8d1c-a261-4041-9e37-823117415d0f</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                                <model-element>\n                                    <new-data-del-flag>T</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>5761e0a7-c6df-4d8a-9ebd-b8f445054dec</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>96129eb9-f0de-4e05-8af2-73146473f766</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                            </model-elements>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>8ecb2c5d-7176-4317-a255-26274edfdd53</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>ff69d4e0-a8e8-4108-bdb0-dd63217e63c7</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>c00563ae-812b-4e62-8330-7c4d0f47088a</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>ef86f9c5-2165-44f3-8fc3-96018b609ea5</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-basic_onboard_zcKgWz-resource-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>5fe2c4f8-b769-4fe9-a879-95af1c1b5a7c</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>acf00210-f655-4bc4-aba8-a77d8c7c32bd</model-version-id>\n            <model-name>basic_onboard_zcKgWz</model-name>\n            <model-version>1.0</model-version>\n            <model-description>VF</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>fa3c6104-2373-49be-96ac-67518e055dda</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>58e80d06-1aa4-4be0-ab28-eadf32873de4</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>93a6166f-b3d5-4f06-b4ba-aed48d009ad9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>acc6edd8-a8d4-4b93-afaa-0994068be14c</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"}]
2022-09-13T06:13:59.290Z|[15a09aea-593e-462c-ac20-85ff17b8b483]|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[15a09aea-593e-462c-ac20-85ff17b8b483]], Content-Length=[76975], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicNetwork-csar.csar","csar":"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"}
2022-09-13T06:13:59.291Z|[15a09aea-593e-462c-ac20-85ff17b8b483]|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[15a09aea-593e-462c-ac20-85ff17b8b483]]
2022-09-13T06:13:59.292Z|[15a09aea-593e-462c-ac20-85ff17b8b483]|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 0cf7f546-1602-49cb-9288-49ee6ce391be
2022-09-13T06:13:59.298Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-09-13T06:13:59.298Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicNetwork-csar.csar
2022-09-13T06:13:59.301Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template.yml
2022-09-13T06:13:59.301Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicNetwork-template-interface.yml
2022-09-13T06:13:59.302Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-GenericNeutronnet-template.yml
2022-09-13T06:13:59.303Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extvl-template.yml
2022-09-13T06:13:59.304Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-09-13T06:13:59.306Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-09-13T06:13:59.307Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-09-13T06:13:59.308Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-09-13T06:13:59.308Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-09-13T06:13:59.309Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-09-13T06:13:59.309Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-09-13T06:13:59.310Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-09-13T06:13:59.312Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-09-13T06:13:59.314Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 13 CSAR artifacts.
2022-09-13 06:13:59.323  INFO 10 --- [tp1056185446-28] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:13:59.323Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13 06:14:00.287  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13 06:14:00.288  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.287Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13 06:14:00.288  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-09-13T06:14:00.288Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.289  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.288Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-09-13 06:14:00.289  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.289Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.289Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.289  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.289Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.290  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.290  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.290Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.290Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.290  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.290Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.291  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.291  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.291Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13T06:14:00.291Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp5762219964955528644.csar
2022-09-13 06:14:00.292  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:14:00.292Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:14:00.314Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-09-13T06:14:00.332Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 2 XML artifact(s) have been generated
2022-09-13T06:14:00.333Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-09-13 06:14:00.340  INFO 10 --- [tp1056185446-28] org.reflections.Reflections              : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:14:00.340Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13 06:14:01.181  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:14:01.181Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13 06:14:01.182  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.182Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.182  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-09-13T06:14:01.182Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-09-13 06:14:01.183  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.183Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompNaming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.183  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.183Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkAssignments" is missing required field(s) "[is_shared_network, supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.183  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.183Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv4SubnetAssignments" is missing required field(s) "[use_ipv4, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.184  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.184Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.EcompHoming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.184  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.184Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.184  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.184Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.NetworkFlows" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.184  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.184Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IPv6SubnetAssignments" is missing required field(s) "[use_ipv6, ip_version, cidr_mask, supplemental_data]". CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.185  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13T06:14:01.185Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "Generic NeutronNet 0" are missing field(s): [network_role, provider_network]. CSAR name - /tmp/temp17126264693740552371.csar
2022-09-13 06:14:01.185  WARN 10 --- [tp1056185446-28] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:14:01.185Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:14:01.186Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-09-13T06:14:01.187Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-09-13T06:14:01.188Z|0cf7f546-1602-49cb-9288-49ee6ce391be|qtp1056185446-28|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_network-service-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>9b83a443-c437-41f4-b7f0-03498b325a7a</model-invariant-id>\n    <model-type>service</model-type>\n    <model-role>Network Service</model-role>\n    <model-vers>\n        <model-ver>\n            <model-version-id>de4cfc65-d3ce-4151-9ca7-3db05b6a3fe9</model-version-id>\n            <model-name>basic_network</model-name>\n            <model-version>1.0</model-version>\n            <model-description>service</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>F</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>ec71d4f6-928b-4024-af2c-2f2b7664f89a</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>0b290d2d-68ba-4548-a691-0e570c95f683</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>46b92144-923a-4d20-b85a-3cbd847668a9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>82194af1-3c2c-485a-8f44-420e22a9eaa4</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-Generic NeutronNet-resource-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>0b290d2d-68ba-4548-a691-0e570c95f683</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>ec71d4f6-928b-4024-af2c-2f2b7664f89a</model-version-id>\n            <model-name>Generic NeutronNet</model-name>\n            <model-version>1.0</model-version>\n            <model-description>Generic NeutronNet</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>F</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements/>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>9111f20f-e680-4001-b83f-19a2fc23bfc1</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>3d560d81-57d0-438b-a2a1-5334dba0651a</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"}]
2022-09-13T06:15:04.907Z|[d8a63ce3-8002-4ea4-af31-202dc77f7393]|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[d8a63ce3-8002-4ea4-af31-202dc77f7393]], Content-Length=[98307], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicCnf-csar.csar","csar":"UEsDBBQACAgIANQxLVUAAAAAAAAAAAAAAAAJAAAAY3Nhci5tZXRhC3Zx1g3xD3Z21PVNLUnUdcvMSdUNSy0qzszPs1Iw1DPgCoYrcElNy8zLLAHKFCMpAakBAFBLBwjPUv1CNAAAAEUAAABQSwMEFAAICAgA1DEtVQAAAAAAAAAAAAAAABkAAABUT1NDQS1NZXRhZGF0YS9UT1NDQS5tZXRhTY6xDsIwDER3f0V+wC2s2doAGyDRit0qrmQpcavEQuTvydjxnu6dbn5OYcA7G+FNIuObc5FNvTt3JwjT8DqSM4TMZPzBsXoXKMetuInUSAmuarnihVdRsSYU7w6hL5y/sjCOVGQJuqJx2mMb62qKAA9K7N1SKHepnYGwqbEaznVv3PhnfWuLwh9QSwcIxMuNIIkAAACxAAAAUEsDBBQACAgIANQxLVUAAAAAAAAAAAAAAAApAAAARGVmaW5pdGlvbnMvc2VydmljZS1CYXNpY0NuZi10ZW1wbGF0ZS55bWydVktz2zgMvudX6JYTPXpb8i2PZieHJpm0zcyeNBQFejmVRC1FuXV//UIirYcf2bQ+WeAHEATwAdCyZTQrgItaaCHrNtuBavHPxtHDUSuqpoRsT6sy87LgqgJNC6rp5spxRL2jStBaf/v2eL9xQj/wXKBAYghdEkaMkWQNKUncIoq82IWYMdQy4AL8wC/SNYl4mJMQipBQFgOhQZFDkKTc91IE17SCjZPTVrCM1RwlBbRMiUYPPragdoIBiitZQNk7xaiGrVT7jfME+odU350vI0jvG7Q2fVv1r4P4+nqSvMrySPLQ1czcOUih3gkl6wpqfSdrDT/1xvkLalC0zF5hB3UH5BYwOvV2CFSrMUyC9hbMbTekpIRRpXs/gMmqMeoaiidaoRpepFUH1yYIKHiRpWD74X7MiVS63VwRp8Z3t/27HYeL3ulBsNpXJR72ierfvAD0QnvOaENzUWLml5C53EIVlIP37T+iWWAXBxa8VbJboozEHjf9S46uPMgshNa11MbuHDUTW6BNDxlLhAhMh+KUwVzxALvtYXeI0oB1jdGe4ONDW9mpucXla+3piaGL6ucdumzoyCMtMTRyu88O54Z5TadtZNrvoska2epsUWYZkzUX204NXwbas4fTrsRi7WvLygwrcok1T2srU/BvJxQUG4fTsjVINKiVLEtQGWVaqhObX57J66cHcn/z9WZhutWWBxctF202EHjsPn+qP/SL31O27met5PoHVfBHPvSsGzNkEzNWgOMubUm1XckG6d7TfnWohNWOrw7FYOHzZmt+Ry3XYzQpfOy2QeEX2HJjRlKGn3EUA/dzD3vsetQ1Kj51IY8QnfvgkdADIElScMIDQKUg9wI2qZy230PKZ0347WGUj13Y/KZePDQ3wcaTccpceyv3elLoWi0r8WuoWeMvJGkCHvdJzDkOCp8HhK6jnHjUpamXBlEYF6O+ie/MobbLJyducswilu54egj9G9QF1rN5aM2xAvrvC7BXQJ60cOy6ghnmcx+Hp67KQdmB0f8ahVlXU7MdAsH7yu1wxAosp5fX57fH+0/32e3f2fPTzcv0jg+RfM5qTB7PzOSYbrOjJtseZs0BsdSskA8iw3u2gLtBK7b1nDBDoo57wRnyOw7dUVGaSbLPfskasor+RJ+7GruFN8UAPX339UVXVftMVL0/piQHycKAkf+PiR6UuVYd9xn36JyXdCfV/I6VbQ8InE+1kRLuaiTtaoVSDNigtjJZJe9S307FN/55AF9k/c4CTFkNzr1/6XnNx2XziNZhHEZIKh4z3NdyykkapyFhUQrJOghC5iXnDdlOwnLq50lK3BAYrnBRgqvempLQpa7rFX7CeHpe/21i//V5xN1pIyhYyqIgTXFFjFIS8iIiCaMpid3AYwHl6zT23iEalnk2I9vAIoaAeR2Ox1i02MecKbSTGSzgD5sxOcdUTcQR7e3QPBZ8G5Zv3BxPmSHLDit2qJOJgtjUWi10N3SAijYNMti+1MyhM6VmF6DlhDmN028tE+RjcIu+tD6Qk5ODwqWtgJwenajMFwFyJF/uLRcHP7mIuPoPUEsHCA1aJ3yZBAAANw0AAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAABQAAAE5TLm1mTY5BboMwFET3PoUvQGpoWrWWqqgtaatKsAlRhDeWaz7hEwzIdoi4feOIRbbzZp7GgFeV8mqzIb2Tox2qs/ayVwY4/VMOtdR9vaAJK7ASK061Y4y93GKlT+oIcgLrcOg5jVcs5BY6UA5kcEuPQZewJInYaxQ/FuyZx2u+jkWo+nm80hz8ZbAnugM7oYZ7dwVOWxz9ze8WTnbD2errMIUaewzQPSww+gjPP/s68mDGTnlYzaYj791xsOgbw2mWPpEf5RpOxUF0os1Nlv4a8f2FedGgaMu5bEWbFdtYHPZzlu4vpdm+EfIPUEsHCMICoBjnAAAALwEAAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAAMwAAAERlZmluaXRpb25zL3NlcnZpY2UtQmFzaWNDbmYtdGVtcGxhdGUtaW50ZXJmYWNlLnltbJ1STU/DMAy98yvyB1YJcettfF2RgHvkpe6wSONgu0P792Rt2NYJCWk9Je89Pz+7MdYAvsOeEhlxUr9D0XJonU2U0pAj+j0M0d/6u5tyZTFtb1YucYfl4MrXU8R2Bpr9EAvZgYHt81JwACsfIMOGYmm6lJzjVSoYYcr2QXmhXRBVvBUel6oZqXTmSOGi5S9WJZAS2+x7rjqDJ+FhWH+ckGXbcMaEgYfcKMqOAjb3oBQeUj/7dCi0w873wkN7USGoPEopgY2aQLBmXmZ1muqzFL2cFuZc6NQPRRePf60Szh2Sta54UdoeQcGvkQS71vUQFSuun5R9ZjVPSQ2S0TSmD5x62o4y3U7O5bHAGK08EBnxot+GOSKkfxqeYicY8KrMJZsJx4jiy7JY/oj39rJ6fXpePa7f19d0qD5eubdvELxyxT9QSwcIEsPNIUIBAABhAwAAUEsDBBQACAgIANQxLVUAAAAAAAAAAAAAAAA/AAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtQmFzaWNjbmZDb21wdXRlTm9kZXNIZWF0RHVtbXktdGVtcGxhdGUueW1shZNPb5wwEMXv+yl82xPWsmGBcmtTJcohObRKrmgww8aS/yDbIPHtOwaSQKqmFwTv/Tye8TPBegF1i500MkhrfD2i8/RSsTBbXupeYT2BVnVa3xw0BmghQHVgTJoRnAQTnp8fflYsLwBaPGdJlmeYZDdwSsomLRJ6KfM8TUuBOa1a4KJo8gvmZXI6X0SSnejRXC7nhMDuWwninImCYAMaK/YDvBS3puPC6n4IyI1t0fNXhMDbQeuJSBKEk32Ye3+ygTkcPDQKqU2Djr3c3RKlaaGKvQsIeLVuqtg9ki0FaWHqabMF9EPzgXxvfHAgAukOvR2cwBc0rXUVa2JrpqNji99/Ab9QIXiqekz56TjbG/cxdvM06Aap0vF4oLO2LvjqkLB5wtgoY51UVGAZedKKzBhAbHYHRHH1BfTQSEWJ7pGtvqIOFczBv8p+x+6MFb46O+ypRVnt3iopPm35pq0IGGPDUndLbeQZjMPW7xNad+W2p5hi/PztgPnYCf5+M2CN6J9XZNmupahHbOvOWV19VXiz3NgR+G909GesNf5/0/4AUEsHCI4RxxGhAQAAWAMAAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAAKgAAAERlZmluaXRpb25zL3Jlc291cmNlLUJhc2ljQ25mLXRlbXBsYXRlLnltbMUay3LbOPLur+DNJ2goihJJ3Rx7MpvDOKlkxlVzYoEgqKDCh5YEtVG+fhsAHwAfenprebLQ726g0d0wLyqCw5gmLGecFXkVHmhZwR9bi0tQxbJ9SsMjztJwGa4eMspxjDnePlgWyw+4ZDjnf//96WVrLQn2Y8e10Sp2YuSuNwQFBH5u1huaONHSWTkeUClkB9s0WgNe5NAlcpeUIt+PE5SsKKCvouWKCOQcZ3RrRbhiJCR5AisxrUjJ9lzq+PYRVrIipqnQh2BOd0V53Fp/0JyWjMAaP+5pg1fVUY/xFFW8xITDekmroi4JfaN5XJSNtDwBT4jfI4SvNKW4AqaPy4X9KMEa9E+hzGudRRQ4PT4+gPuKklfbB2TlAKqEnpaVsBQYyIXFMUsBKHwqdDUQxGIDJ3iPI5ZCkEwUfb1BLWmKZSy/s72BawAa5F1Z1CaWWmnA+yJlZCCyXWtQcJ4XXPHVsbTlTi/lRtSFE7Gc0zLBhJpqNngfBN4zoHEKmxBC1+PPs1ROjessOz4fEnKS8avAfRGoBFA7MRczv1D/GTHz1rSEC1Jk+xoUUnK/U8yV8HlxoOWzIpJS/wUkUvKscX+kRYTThmaSr8JoVJnlc4rD8xna1+KAv9ESUs8kuQBXEmxy4AVsxWJ3DNtVlZRAVLMTD0kIyaGG/MVitSLyR4LrlG+tL18/v316+f0l/PBP+Pn16UsDVwkDkgPLdx2JlnK+lMWBxTS2oqOlkZX03zUraby1EpxWVK5WP9g+3BcVD1lecciTTJ6HkBR5wnZ1KX+N9OJlTQ1doqKAjJOfEATJChIlKDxk1vy0LCrCF+5EWgQ/xS36WFhR7hbFHvAEwaLLSotXSXBChwzksRDM3FG4Tyq2G1vWI99gGngtptv5IM0QJ3VOdDdfSAkh4mWRprQM4ZIoypEt3z6jr79/RC9Pfz1dxxkfMEtVyj6Gv4qchhn+CcbVOR8JWRqsRbrY0fLUhotzEuKSM0gqPJR353XKyeQSskwEUSfvNJIIF54UmXcsyUze4yfkHlSYx/L+94dUeF8dT9Jec5c7HNSWqLd4OUnxoShPuHnR/LzK3YrrGVf/f7Kh2JyyVutqzKtPMxzJa50NueP2+KpIiRCF9nSQoCi2rwrQmZOgeenq8yuqhO4ubGzFTZ0banXDdK5vr9sF1CiLtgIRBcui5dH/odVBraWgCiTaQ+9jJAruijNecxylrc16/6C+QRfheCT2Xeyg1cYjyMWRh7AXBNAdBMuN7TlekHgdrSJxvSTBdOMjD/sRcn3HRkFEY0RjO/DsyF35XtCRDDqKYUnX4RmhEwVMSn9KD0vnWfw75harrLqCzY8rK6cV3KsKxnLVcDQWt+2J+qaaFPV1nVfbWDQEdcWLjP2S1YIyOEoSf52AwcHS3oDBNviI+A4K1l6wdh3fTjQfqVg/v3187pbmOqF2Y53ph6bQRl1Ri3SiN1Io+xL2YNn3NVLBiyonvXoBGqgQGekPQAhVJKdlz9TqNyQNh9hb61VGUJ2Tbwr6V1dtQvur8WF5TH+GB5zWQGdrAHWNgw8edakEp6KAobk4B/FAbXED5XAiZCwMyCGbuInFt6PCL1DmbkcXdr9rVMmtzAnHpw5NFscj/jqShmNeImMqCR7gD60YURj6z7gYfCL2cwhlplmMDC02paGxz1RS70+pcU1oEiEHDopr8V1QT0tlJy75yQhqeBOSVe1r2DueB4gvZtWPBU7TgqjzYiR98U0dNilLZsUBucm2LAq+qNgvehPXjtpkGlNxzuDuwfEiOsKtdRPzERdTiDjCOTnexLqh7WNK9vXVSkoiU6e6ko3SDRpJSpPZf0oGSep2/2n0k+G5l/+YzQkxoq6BVFwtxMm6X5zB7px17ySz5zW/21u97t7wLaM+ldEMLpNr+SoqLf+qXHgtm5Zu0nCRtIjoe++wueUxSE53u3Tal3Bwr+UGJJPG35mWR1wmHHDnHh7wOL937z4uY25zVt1pkMn2rn04vQEbg1ixv+tEC/ozN+T7OP1MmG+/nnQGxjGqOUtvOEuSrgNBH7EvoG+/nFFFSV3SQWWma3pPdWCy0M0FUMrxDfYqwkEyvy0eOq1p+s3bdLw/6f47zaAKTm+vDU0WQ9Ohz2QxvSbkhvUted8nQjsmGrHL+Zkjwm4q2wDNxmFpeuddaovTRcV7VU1nyyUT4R1kXFAEvl/9B8j6W2eEq7ZVlMunJmPNi6h8fhMPat84Jj8afNhlES21oZc5cOuwzk29IromwcpF2E885EYkQL63JMiJlp7n+La3dIZTLx8nrr8JYuS7UYBcJ8HITzYxWq0oXge+6y8jt29b+tlSP5roRmGGJx7m/Sw8EKrHucXit6fmoaH6rWdhTkqMGZrwnNWOWyxeAHSfFkfV1Vpvr2pi1j19LjSmCzWDQPYFUXpL/pTId8bn0LBRMyvpqNOqTVN+MsO89tyNu04ilGyIDWHGCQo2gYvIOqC+t1q5ZOlPM2q2CYmwE/kBsl1KkEvXPoK9gZFrY9texo5PkmCa/m28AaYiLLKZNvOZyms9GNIoTfUN1LOBjHkxGxVM8K42/ak+yGGicWnLf1HBafNWprMq0jqjzTnupuHdsE9U3Bne71m+ayxVg/LTM/BuBP4w7aup8RmampeNHmdRv9SsXPVQjC5Db3f27LMsmoD1Kg/fTZG+OLTMeJtFg/Vmee5FFY0gDeCCh1J0Cqn17eybKJqAtcEdzCvRcEA591CK5iayk8+MyFzu3ao/KqJ2wRA9MVhEs7PE+ac3NAHTfGBsbX2oO3iLQ+1Ca+3Uoxsylw1zzCc2NDWjnXkZQ0PAw38BUEsHCPvoL+hLCAAA1CYAAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAANAAAAERlZmluaXRpb25zL3Jlc291cmNlLUJhc2ljQ25mLXRlbXBsYXRlLWludGVyZmFjZS55bWztXEuT2ygQvs+v4Lh7GNVO7c23eSS3zFTtJLlsbakwatvUINAC8sT767eFHpZsOdYkIym48EmG5tFffzTQQlhlGI0TWHHJLVfSxFvQBh8WxLosw9NMQLyjqYhv4j+v8K/S1iyurolUCeADwd+KC1iUCdEuFZiZUEvtLusKFIlVPqMZXXKBjXZF2umVqAZBXd82POvIdjIq4bVWeVeqTKmyMyU4O2iyTqtEqJTKlvW2pVrJTrBQNm40VHodqQwkMJVmkQajcs0g2q6iO2o4u5ersq4ENN9CEq+0ShenStGlsZoyG5WAfv3oih4jRkgtGSd5mu4iZcqHOpuQooOVKaMOtE8ZaNRGrp93xkLaFFCM5VqDZPtGCLkmf7SevzzePX15fPjw0KRtqeBJXPa+woT83eQS8k/znGnUV7dVaHrZ+l/3G5XDHnYyNPybcw3JgqyoMNDKS3ghvswLE/10ZfUo6KmnyhpYEdVswy0wm+ufU/HA1CzL+23d5VTH5ilgYyy6By4UPoNuiiLNmOaZg47cuoHsqiN2Qy3hkokcRfAfkE+ukj0bd5idcEaty6e2pQq3KCbJEkiq0L0o1InkBtUlrOlCdI55N6MyT9L0wCzoC2kuLHqiLB9mrw54e3BJCXeJY9EODsMaiIj89nlTpbJjc1TwmRKt30+ww+r8BDlwKLw40zO0T6DJqDTpYO01YRLYcpx9NNAkKgqBsSbCSQICg8Zn0EnwfaXUCmgx5w1ekDwiFaZZhRx0dFnQSq4Hd1SCfVX6JbrDcnQp5um048yrxpVFtNzhiAjj9I14/ug4PcTc1+HplMHtE8IbVggT8KaC2mu65Iaug5OZgCwOaF+pAjLJFJd28IT6oSoQ3SYpl+csM24kwgA72qg3tmnp3FZpqZQAOiQgcIDURpnhKN0raSmXLUO9F0At+bLdMuz0rFb2lWq4xxGtJEh7jtR5GuOe2Sx6IELrwvqAY9+N5LzEhv/XHzBhVFB9nSOVo0JmYJ1FvGTlFtbohc/V2wgOrDyF9D372+d7qRCKufBjcMDjO+A92r56YaSk0rswZU/AmDbUvtKlHYPgKjvxHiFQZoSQTwG317TRSpVTWyDN+KRpwPabMkWY0wVRAmcm4EyDttekCfPSNHTxfkKqJtYQ3Zx6KeN5kHNbhC8CXUali8PYV4KcfFMbSDPPG/JLIFKI7M3AIv8DfFwaSxHbQJpRSVPD7CtNjlxnOC4y16Tl/6GRMtIdeDPB6wRfKVK8Z80tF4EkYx9OdzD7SpO2cyyP1IWt1OSzUhf4y6FSWOLMRib/1zitU77BJU19rvryfFH4kOZXmNv890hHG8nApRl275dAoXAkcFr2XMy5wNYKL9BnjnW11yQKwecZz31dzPonXGowuQO6iLsNwmmNOXzPRWznwz7+FwgI+T+BhdXzXPc0+Eqb6rsyDYYncOp76sCa9/2Kr0bbV9I48kO2gRQ0FeGzrPGJ04O4r+RhWY6rfmFpoMzYpzdKnH0lirvUYCmG3+71XBU4Z5Jxb/dI6be4PtBpTtjmpscmb7u+IuVyglaqqk619LYqq7QUJ76qnuujiQVw5Cd9H1T9kCn3g/z8bXCFz1h07ib5S6m9N2hfA1yLda8GfnB9N0+yX7XiKLiIDQ6bnjcjY2h3ay1lm7S9zDjW8Q679fJcduoNupZ1g/msrv4HUEsHCPGVGn3zBAAA3VkAAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAAOAAAAERlZmluaXRpb25zL3Jlc291cmNlLUJhc2ljQ25mTm9kZXNEdW1teWN2ZmMtdGVtcGxhdGUueW1srVlLc9sqFN7nV2iXFR7bcfzatW7SZiZNO02bxd1oEEIOtxLoAnLj/vp70Mugh5/RwmPBOd95cjggLRTBfkgjxplmgit/Q6WCP0tP51OKJWlM/S1OYn/k31wlVOMQa7y88jzGN1gyzPWvXw+flt54RsL5BI/RzXRG0AQHM4RniwWazxej6XA2ni2iGXAVxJNZFGE6naMZngdoMh8P0SKgIaLhcDEbBpOb+WwBxBwndOkFWDHiEx4hLkKqBmGWJNvVJiJAAe9EslTnOq+E0fbNM2Se3qbw84q1x5SXKRp6WHmcKg3/8jnGvZd7gEiAOjYGEazpWsjt0vtMOZXM4BtKAH65X8GLyoIdzYdAaYmJhnFJlcgkoS+Uh0KWCvMInGneWwQ/aEyxAtjr0WB4nU9bs1+NOk9ZElBAur6+gggIqdXyCuV2KaOp50UsBoDCH9skhkkTFqOtQ2AGy3mCUxywGOLsktjjJamkMc7T4ZWlDq0zURKvpchcqmKknE5FzEhDZDVWkmDOhS5wbSpruNarcCPqzQjEuKYywoS6apd8Hw3fikdPhuuTYSKGSVPIGwjsjrspsGIcEEixTNNBIfeVYl0I7xcHWq4KplzqF2DJJddSm7KexAY/UwkrsRPUTKt8uhfhcywCHJdSO0EKitKYXpx9CKsuXi0gtGK99avRok4AYRlZ9ZulfiqU9hlXGmoHywPsE8Ejts5k/laQmrUd4SzWUItkRsuxYj0GQsAS4uWYpP9lTNJw6UU4VgUlj4gfZZzYeAUvrFrG13tYS6/4eVx9u+LtQGKmdAvCUpNyLbe+Iq80qTkr3n+VKDRnPKRv/gbHGW2ZPHTEmbxcU1kTWTXvwYB4OYgnIih4UO2gTinNdGYoPJMrjEApLEPiyQzcnpj6ZyJA6NGuyKvxu7nBikOC3/xKG7U81vKv+I0lWeLxvFYa46FKgz9KnAPJAcaA+Kbfax2pMd1fm30AfBZW5O1UFHI9ECnQGYZBXYQHTzlDl95QcTxuz3apuEn8KMYbITu83pPBtWplxOtF6MPS1VU16bDVzsM68UzwIVHMJnVdD0FLEINon3IcxI1YmzBysD/fHI92U15B7XwdPFsv97niPX60Cb2Cst8n4E+W4DU9w53Aagh9jdd7GN0QJ0WLAfsUdBugXhFvaFA49ASGZk/oX9n61ccbzGJwMtPbY4U2+faIAGXaC+702vMV2sZLVyCU/nBfQByBwOYZei8Ssq5fhxaT2arrtVBaa+3Z3Rla7XMDWK2DevfHZc/X2waUiM1No9UsT2cYh3Q8QZPphKLJDR6ieTCaIfgzn05Hozmh05q3YJnNgumtaZmH41vor4fwE9zejhGQR4s5JuMJmdUsReN8sGup6R0vPwkNbsyUWeOgOJRAr+h/S+Oqfrl4urrm4qnPElWfWzJkSouE/c33+tId4WgS3UQhArNHaEJGIQoCEqEAzhTRYhGMQ3Lb2D5sjfr68iojDnTnXWStHr0i2tOpFySphCySuy7bPEUp37173pqaFgiCsmyU+l3GmHLVz7KrZi6Hn6Whqfl5jw3u+HH38dfD46dd9FqpaSNbg6inEXJIrK1jFw0R6T9Y0rKp8yEaXJkzzNL7/u3x0X+++/Fy98Nf3T9ZWw00ClC4/GrrqtY2/HHqhnngLCd9o4kPVSDBAPvl7sNPg/fz27fH5w66lku+P35Y3bmL5VR3OJ7vc0UZ15b854d/KvHtY5l5QqZ+D3AcC1L0x069Mk9XltW2NNldWCkEbLnsLz0LteZ2QUNq4gZlE4eDYAt19izwFoorxBRwTrZnQZe8u+JE0uxkJXMmVycok+vzPJlzumB/JIMqfb7/LP7O8FyK34bZI8bsxFRpNTAd9OXiHLhD1r2TzB1Wf7ZXel2c8BWQVaoT2NFOxS24rMajrKQnwjROh67hpmgRaDEvsbnCaBSni13a7UtYuKeiAUun8ReW5RZKhwMuzOEGxuHcvXi5tNH6rLrQIBf2ojzsTsDSICbSi1a04T+wQ76P0w+E+fztyQZwlhEcuOMz1lLOV09BA50KOFoeD6QoySRtXDnYml7SHbgQtrkwFUMLebq9BWOjmJ8XD5vXNf3sNG3nJ01faUIljs/vDV2IpulwwGIhPSXkjvUV++6cQbC56ThBVfee0Ru5k86diDXZ7KzOX7f7m4r36poOtksuwTvIOKIJfL/+78pz7rf9BKcp4+sSpbjsOfZCx3z92V3q1H+sj0pX3aqe9B0DHUdeUnd9uUDOaHVy3Pud4sDxvePbQ9cRtvNmHrnDnerYZ+o9R+f2TTyyxsqh7rtw1H1xcuDyG/UR7GS174lR54VLx70wsgfLsb7rXNR3Ydt5OYvc4Zb7nGtU1Jy4+h9QSwcIdK3kk/UGAADpHwAAUEsDBBQACAgIANQxLVUAAAAAAAAAAAAAAABCAAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtQmFzaWNDbmZOb2Rlc0R1bW15Y3ZmYy10ZW1wbGF0ZS1pbnRlcmZhY2UueW1s7ZxNk6M2EIbv8ys4JoehMpWbb/Oxe8tMVWY3l1SKkkXbVo0+iCQ8cX59GiFs4TFre7NAqUqcQGqE+u0HIYGEVYaSooQVk8wyJU2xBW1wZ5FZl2WYqDgUOyJ4cVf8eoOHSluzuLnNpCoBdzLcVozDok3Id4JjZkkssbuqb9Ak+nxKKrJkHC/aNwnTvakGTlzdNqzq2fYyvPFaq7pv1ab47EpxRo8u2aV5EyKlsm25oVWQ7AwbZ4u9h0qvc1WBBKpElWswqtYU8u2K5g/EMPooV7Q5IEtjNaH2sNOKVtZC7NrLlaDZFspipZVYDBV8dPofnx/duR9VzbKNMrYIym+2pt4+wnlP8UclLWES9N5UUVprDZIeSsyy2+yXYP/r88PL1+enT0/7tC3hrCzauhYBBq19e9225q9qZd+Jhkd0T0mQdm9XafRbh540m6xFQau6l9b5w6SFdVD1ZtPwd800lItsRbiBIK9k5g3x/hdOFYUV5ETf1nhX5I3NhWVizTBumI167c6Vuze8sHAB4kfWt/E/L2HLECcNpMyXOwvmNCl9CnvECLCa0fwRGFe4H8iP4aWaVda1JveudXDFZXZDLAaL8hpN8Aiy31whB3x3mF0ySqzLJzZwh1k0k9kSMqHQW4V+ZbVhcp3RfRXyc/TeXUtv9mdQhb/OMUrEUZCwgSU1t4sB0U8FFAWR66NCAj0PemdtBFppm0vj/dVpk2c/fdn4VPoxQl5R0wr48wA0Vtc9ZrRSLWSJlfFZ2YsdFyOEc0Xd0zJBMj4kB7XjogS7b83zLyEyPiJe6mj42DadvATGqGA4jaMhwmFcG7JO/Y5xsTgIHRcb75pZSKOYqQgJ5I6LEz/8SrjMMeiNnRo3aHcvboxN3EzHTU/3KMkJyM81BivBM0ej46SPmJ/uFkgIzYFQT/1oKBIglE5vWcaFpRU5GiaYNJageImKUanoZI6Gi7DNa8JDMTiJkckeM53kcfGSBkVTfxWMfjSUPhDO0LpE+J2wmVGTABkTEFQ4GhoG3wil4fD4oHxb/LgYOsy9SuRMRM6R5HHxkoZC04ES8RgofU2ciJFY5876xydTVcJkAkwCuaPkJHVT5p+cH2FvxfuQJstNy0xcc+aaNyu1ZTwBMvbrFSdzTFwg0NySBMbYYLQ6R0NG2NalpRtTP11iW8EBsqwUk5evPf7kT8jvS8HkuZhcvQD5qpgYwIsORSVwMnRpqRQHIgeUCZfeLhtc5fpiZSTYd6Xf8gc8jyw5TKONGhiinqjgC0pILLr0ujMWxLyxc7W87Db55upwNF/W7g76v4V1/1Q4UY7PurAgoumGWaD2A5xX1moFpCnj4gA/Y2s8TVTbeVRp7HKtbt89ZS2yYYt7JKb3Z6PDsdc5LjKg2oDAhxFPfyiYiJG+4tHQ4hs/DYaVMNRLTaT82EdNp3Y0lLj/6mCP++KO0qs/Yd4usCD/FN3UYzMQkrsTQbjuD0o4SpvgKr6ooStdW+Tx2tX0YcVvE64XjvCTSlp9NSM0EU80O7l8LJEz07q9uNhJ0Mzb3ERCi08S2K/2zt5ipZCJ8tQXmu/qjx7Cf/7tYENTZ9X+4/N3pQ6chD9t7cz6P3J9cnU3L9L70qxZ4IVB3U68EhzDnXtrCd2IcJzy0akHrNbba1upK5xrywbzRd38B1BLBwjcVmoK4QQAAHxXAABQSwMEFAAICAgA1DEtVQAAAAAAAAAAAAAAABQAAABEZWZpbml0aW9ucy9kYXRhLnltbO197XLcyJHg/3kKBB1xI0aQLVGa0c7qfBvRQ1KeDpNUm03KsbHeQxQBdDcsNNDGR1P0+SL8Dvd39+X8JJeZ9YEqfAMNUtRYjLBHDaCqsrIyszKzMrN+891vrAvf8cLEc60sdL3YSteeNd0yB/4j3hxZH7048aPQej15Zb3ADw7Eq4PD/wk9PESZtWEPVhilVpZ40IWfWEs/8Czvs+NtU8sPLSfabAOfhY5n3fvpmoYRnUygi38XXUR3KYOvGXy/hV9L/TuLpd/9Br6lv3Wabt+9fHl/fz9hBO0kilcvA/5l8vJidnp+tTg/BoipzW0YeElixd5fMj+Gud49WGwLADnsDsAM2L0VxRZbxR68SyME+D72Uz9cHVlJtEzvWexBL66fpLF/l6UGtiR4MGn9A8AXC62D6cKaLQ6sn6eL2eII+vjj7OaXD7c31h+n19fTq5vZ+cL6cG2dfrg6m93MPlzBr/fW9Orfrd/Prs6OLA9wBcN4n7cxwg9A+ohHz0WkLTzPAGAZcYCSref4S9+BeYWrjK08axXtvDiE6VhbL974Ca5mAuC50Evgb/yUpfSkNCkY5rs0Shxmu97SD336zN5xenhn8VcJwuTZD2wT2Cf2yXcuS5mdPmy95N13Fv9mgs/o0eQ6ilJ8blmulzixv02pqxsY9ObD4nRqxfCBdQbfWzfQwGJBYEWEBf76jsFU1WvAuRf7O5h8HG2gVz9MvZUXywHwlWvju3eVgMBnuGLhqkeD1N94Sco22x5t7qIo8FjYo8UyiFja4/sASK/H5xvWB/w/J1Ef2OFhwOLjDOhlWKtJ4v/Vq2qqfVNogavSr8USpYEXOg/tzYoQn4IM8cLUZ0GP+VnWNo6A/1KfM4Z4kkZOFMjfMBQ0eSeIUj2UcuudtWRB4onnafTJC4nRWpoD77IsSN9ZW5Yk91Hs6h00tv3kPSTFD4B0WgCzLEBO/GAnIJc3LG9fOQTsGHHv6YOwnwAuQw/3FQ3V8yhOL/04jrD9aRTCByhe5hHIhTNN3Oy3auHSDtkGRrCdyG1Gfrh0un/rpbA4n+wYZEXjh9ttYju47fnpQ8vo3chDk8OuB1uNw2AH02awVydFxN4Ap85ATMe7vdkHxHCc2jnr59ApIV1BRGmcSUr1Qndo8yKYYvUmV/y/s3AZ7Utmgh6AfroRju82fsZcF7UIr8TRuHf0Zd266SMHjjD3LXTTPnH6qmXWHZGzYY4tEPQ8kHjmLatwKBQceuOAMpbGoDCnAppjeG3HoPUptB1bJ+pfb3/88c2PLaMuQHd86j1N40dtr0qdnPlKE+UTAgHiuzb8f6YvB77J3K3xW++M0LRSrA0iZOWlJQHQvDJGWxPjsgd62DaD4nKZS2YuG/4lURY7ZWnVCVje9omArdug1x5LFXxTzktz5vdR2At7zeX09OVsLvkSVBw/TmoosyuPl0eQ3bcqPrBppFkC/WVbFE5qF/W3Q0bO5zVo4E6LkGR38M/JL1GSXkdguQ5fCewCrDfoA0hlGeX2KI1QsybQA9jZLNfKumEGzUWtKY2FKACrlyAYvFCh9zldR9u+sGAzC9qpSWvAPd7aTYMgchjXcKN+ylRpBqRLoU8AlaJ8m1MTYmos2HajoEkj64O8BR9WcG/TYENWE6bSB5jzfOajgtJpMUMvS+MonCyIXYYv5lQwHECIXiNQRdDVo8kS6w5m9Akmx1LLgTd3HhphLs0YDER/FeYIylsBKaSRtfPjNGMBMDjMM3S8OlGbeiELW3WzCjKcnUm3H+/Cul9HVnQfJvRM4GoPekCHn+2unRKHCxdNDZUCOmH2qKlY/tI6++V0jv4+3p1LXEMA6C9dP6G3rcDmKo+uCNXvJLu3ci+xN202ZWlD2b1VZICNB2NygFKGWN+9PcYevWUW1L4L9P0OXyYBY44+/ZgNm/n11HpBm1xsTd0dUmzibYBBDr9OXFDHNrp7G500poj7DHCClhSDbQV4SLi72wkyF3dtYjLyi2nGTCvd/p//2wFFPVxCuci1UeQ2m1r7bmTDdbq2OQ3YwuUuSgJ8G7UaUWU9BJYVjwlyMSo2g722UTdMyBhPvBh9/93XYyoPI0BIJgAFwHR2teBQis6QAMUO1J3i/uM/x6W4NaiuNimOPYltBTx6zx721dRHI6eiNp+bH/LQpjA93Z8w1gzVMv3wGKLzB+PXW6m3t/mKapllWTRShiweaFpL/3NQdqc34ndOrSxotkrX3Ibh3KrJKFT9RmHiWlSvYqAgL7aj2IYuWfDOeiXeOr7b5psvIfV0dnY9GEZBbLbf2wAbiRGbmSzasQVJLcPFQlvqvKACD9Hcr6B/IRalpotHv7iV5Ro2kQnCW6N5k0808Zws9tMHW2iovZTd9wFboVTmbV8KPZY6tmTHeLyNbKMAGbLa+/tjEMwVHv+ico5hB3vBw9yNH9qkd9lZPwMBSZCaYwQAMO6O9JBUiJeugPWzBP4SJaAfBb7TfAjUqiX8IVpYvB9EI0tT5qxHQiiIsXtgAmmukHOuh/bguhRxAPZmlZdPdo+w4skmAAxb+Gq9P2GOo9nl3k3RwZ0fuhhrsAv9/mdquG7YkD4VStNdlIWuZEXhP9h35r33Y+DiXcpM/7oLYzqp8SiM4g2Tu9ev0XLpu3UI+uh6WFZxvlixg4hdI7d6KNrKiWL4uY2I/Lgg992m/aOf32auddiX6FpYibvE8OvJe/+z5862e+yvXIt6mfvia1CQaB64bhjgPjuKG1v7XHoKFY6HaGmii5uh+0rWfc8T8DlFwgnOEQrmOMDxznoS0ZOisJHq3vuB1/sI2zwJgW4s7MZSbFqmMoyQ7LsBqADG2+uZ+Nh6EXsB1zjQf3uXRAHYfYcCi5p/V5dckaVhFgGpwGInHQTbDtrKaBcTttc+AAzYsDCC0HjghTvj9w5QuDE/yR3PjaQDsCAogZLWcRZ4ZCTMc9VnkOiiw1vyaunHXiTKm448eYQMftb/UGYvGYCRNX2HxeOXx2Hp6nW5zoI9jjuFyow91SE/dggHPVTeBV9navVl1NcWEpZaQrcgj4K3g7cZPC83Se1u8TfGuGcaw6jmzwm5H/mh2pVxuIXx6TAK6Ix+OeKjkXl5E9pAsY+90N2TfM8KsulZoblIw8ieA8hJsOjXQ0ncGOsZYHEmGz2lML7oF8ReABmXDFUKTTDXbYv8EzvOyipY/cKfCriVb06J/mey+tccnr3pZnQ1xeSV8nKIqAI71MfvRqcC8r0iA/qFZwgPKCI72VOFoD6seYP+FnubKPXsVRxl2wHRFLy5Rc3R28fdRixJIsfH8GyZjAW2lPLs0scaOe5F5UP0BARctuNRKgDehqXAKJS5RfaqAe2+nNjbhCjGkxbjTX1HxZd6mLvU10I6l41UMEzMlkvfaZ2j8mzN5rtHOX0z+hUP5BkcuY4oRNTesM+9TsK+x0WHRv4m23CrJsw2d16sPHvYaw0xaOBUkMXE+n58yqgOhX1l/NLjdgUb+1ubHxQO5OPZXBw0Wi/wmO2wCz9rMI3AK2IifaNv/rgmNkB4eUDAg8VM4YS+i9I0u5N7EcGPQfq1Y2gvpaDeR/Wi2FbZUHOIVYs95AfKZe0TPwFjG0ekI2LJM3vm3KI/06WE3z8eAc/YBgiJZn6YfFkR0aiAJNkdaFJphijA4FD1470fpF7P5NWy01V1Z/H+ahQRBYUnbVI79TbbgKX9jFPVjbJTb0Q3FUvQLSAydL3PnBR7EdMM2/GTKC0IJEdHIu1oAR8QSoh5YSr2tTu7vRpORg3BGRHA0wf3p9igO9Dfn3zfCjamyWJu45AwA8C/jz7oBOQb3x0kxkWvWoRtd6g7kcwGDBSWRnHp4LwR4EvZakRoOtlqH19PhIVUsPe8JSbCL3ge8x52iDRopeXsLRML28CK8K5rhILMrZPmNLSzKftftgM98M9RKYSokS3lEeZcwWKCAssAXQ6W1x1A9sPRQcYuxzdNO9LH+HQxlByKWB2T+octzdMvCoBATSazLdvsm+shp4d9WYAQXhhj0ZRwpfJhoYm2RPSTH9wmtjzAlZquXRHY2LTTSLCwU02a0E8xBvyQtgx0vjc795nNo83kWRDTfj7UJoKyLqRrdB+qGlUGVMx/8Do+Kg2iB5QWwu6dIdeFBLF7ESmM3T89ISL+995uKolvOMF19+w/JnWM4ufvyf89VtPobhE7Y58EtHj+CyoDogre2tr5jG0c09l7HBUUD+4e/+ygDs9nSToWnvscs3RAtnHEvg+yKw/dvyjGR4jC6RV60xHbdExuf7E4nV5QPs+gngopNl7E1RjLrOKAnvUy51B+Hcs8Jf/4fuou76OLYtuAOEad2KheyFqIrLfTf0ENBUCPucw6tI0xRg15GdhM+m8fTTHqFlhfRx2PHdvXdy/9qsPVWvWXAZvJVxtU1qRadMfDFwmg7Kttf61Bca12TQ96ffrguR4r9dVGFzfpbIP2sqFupRqVombj4+qCgeBH13OeNDCyHelfdbxkFW7b1kU2UJGTlI0GOnnqO3tWTCtVLKuqptjXZU0w7eOR5nTwObV71kG7EjXQ9h60d0KRHJk+HZ8zSxQwSuFC0YmlEoTLiz+0zJPsGttZKCR33jH/D8VZ8QcYxOAOzw4YEBpkQFL1hkC6exhM+nqG+H70P7Q0AXMev2KjIkOqorxkjref21110+Rv56Kqd42caQhzAqA8V+1CutCT1X8AZzyPn0IXfQnQl9ksWgW+6G6EqHV58KAyWpum3im0Zc+SCxdikWRpBb3gQjcov8QClUstDM6PHmmOfU91QN6s/dCbqFEnYxSUkWR2yXvXOD3vfVLD8JK6BWS2gszOv1WhgPnLvlu3jALMQbuBNsPiMeuQrl850h+JfxNjYvDp+emHy3n9DSXqWfFakuqIyu02oPKDgGVXSfAcbXoljDpuqYSU/02tbQD4XEcBXuqCdE03v2ABiLyYEAXL3kdZ4KIYFuU0qCrAMkuz2LMIl6RIBJYoIZZMaFrQ8LefvId/e/db2uv/rcTDrQ68KRUbRQxc81XGf1aSe9PK1qDXT2xFO9Wkp6PrAIXrAcaSiphEQgxTAGIsouyusEzlmEER/GcSbKUcL8RwmsFXPLYZhbECoxaIYnxa9yszpDDlp8f5koy2Dlu5QeZ7UsDa3Cn1kZW6peMtQbMIea7r+Ww+vTyyPl5Mr1DJ5Qyptq8AK+Ce8Tq3mBhL09TWXwZSSBXEPKDEipxdY1w7Qf4norc/mQSnyttaa5ZYJziLTRR73Gz3lU+tey2/kUrrNdTqLxbvnUsZUVlWD8vJwX6SlFSleuptHk+wmqxegjkxFvYvlXis5iUCcCqjpctRnYJ1T3qB8oeMhSkVRVvmhITyY5OBNkVy1cfLgoIHQXiNu5VkSMy02ospazm7hlOBOWx/u/uhO4XXoyQP7sZpqLKGBgwdEPD2SyDg7egIeDsMAcI6GF8m06f2CtrEmDWWC2g10mAUVO59tdtupRwExtGFob773fuga6G9mKXRsYIfU3y4ZvanAxrY6BAnj2H7x6RwYSXaq4qe6b7CbBtEzNX3euuFN1lNrI+wd9DYoqI64nSzpZrgsnv8t2jffcRDqeiCtpKsWZyvxRg0qLC7gZaJsbHhHPmAiLwNrJmPx88fgI5As8bq8FR9PcnB8z6Dgh7Wm7uPTSHaHJRjWcJU2K5RiMmoXzFeA2kPksP9ZAGKQAAEzKm0WhIIqN+OCnVZePaF+m071FR8KifbZldDR62OepQ8k5BPIjcIh/kNJFpE57LvMm6A0gEl4ac+il4HDizIN40LxWj1DNI2JTDldz5sCQ2hhMPMp63o+FFEUkngYxorrLmoYSmGVmXCTAbfrh8SaK1kUftNYfW011tJnsPgMO4PJ5VPX1c+fVP59Ieqp68r+31t9pvEfrSDxyeVT81vI7ZpF7Mzus9y6QtD5Or2coqL4IDxBFubE4Aiy9O3ZS4yVt8Tq5BTs/Lh3HlBFK6SCe9IJkzyOpQBE35fXvotBhXZ9Vd+Kk2GuexWbppXVC0+W1LeO23Hfzp4dQI09L9496+O4MGJ9uDkUMwMTOiSV+WxyIKDUn500o78+dXsNEcSpvCLhOaaZaDvZ/VITYDPsQJLT6wCUhGF1PvJEfx8jT8P6PdridIt1q6VsHa34xrkfc/Zd9eb3wfR/YjeJPNofLgboF3/2cc70AzlEC/L9wXZoK6XPg2izC3mCBp2b7EugVX0r1gvxI12PHlFZOldspABGR1Ovs+xT6WO7TSyd9uS3+OL4R5gkUWdJf7hkS3rPD8m8j/Or6yf+ThcJUKf7fR/TGf5Cmhoz9cCk61Dy8GscmxavRjYz+H3HTjtY8DCR/Dd7qBbUSKil6+wXu+IdVchowFEuQgcQB+2wwFGzYC9twznOGUr40liPDFm4JuEQDMg7YiE9xHv7FCfSSeXVxfkFYbOHdMcCLZKcp+q3INO55ylzfo8Atmtxsv2MQ4EOvtNx1rfancqwNHk9q9Ftr/Vbz2oxLYuaNcGaffboenyeazrUIa1TzfCmG29z7quPaPjKqQBe+Ol66it/NlY67bESuPGEzwAEA/2PwuQSG07n3pcSuh3KNeXYCrm9gjD5qf8tE8MNwN38XJY4zZJdsmc8d23GJz0mLujfsFKaZPEwR9/Z9FA8PpSeR1GTxfNMRUDViK5WiymsxFWgHekUPz5ijARLW/PSx61zniWZ1mvXr2qHtQcR3yDlmRYthz6jvqmZkzRvXjpfd5izMQ1PDy7GMWaNHosj3I7+ii3chQnAvUC7JYp6NYXFRHpA6ii2KX4Kju/jO78wE8fLryd15ZC0nv7owC9KGTxg/E4jDbM1UpQ8qp3OJiD7tqNAMncSTM89Cy96oTjwizl3BOPQoUA8BEQrPX2nWzFjaDFmmFvXRDcxgoLOmcZvh6F9uRZisLjxHxcEOjlWTRIxqvFKdsyQvZ4snF7cXk1c0fihLyzfzoZ+c/M7b9qbsS/ZHGz53y8y59/Hj4bozVVMr6+uDg1nmxmUU2wMAAvXrAd8wMuQEpcQbZBP2LQuxNfuBc362069+Lb81F2cK0/yWcjj5CVRgBZMv+ULvy/juM4z7sT72Ej25x5YVKxCIMG0PqT64x5GvDzPfyjvUhet7U2uhTf/NlPYfBR+uddSXbL4p0PfHDjDz4vNDlA60+JrMCv4YQhI2jdFTlhEVRk7e/HDNRlkR/GGyerGkfbYU+jMOyxlzfzhtFpo/LzTfv5pv58U3++qT+D1Z9fkxsD1pHd8NsmQCyONJ1ip5VjjTSpYqfiK3KlBMFt4sVj6kjlbp9YVXIWU01bvmHxqlxjc4AKXtWtGvE6V0ouPRaOpU1Vdlwm/rFJX+6pyQp16Z8fWivad9NA8u6keh6zMFl6sfQ4Va/VkLGqe346nVfTEuZntwsv6XfK2k2Py3tuUOZEOuEcvverC0A9Gy//16YhPlcFsZ+g3eO2jhMNB60hRq9rYK+W4Zqf/2baiySaxGmp128q9TeV+itRqR/fo/h0jppvLssv6LL8il2J3zx943r6CJZvquE/j2r4zS/zzS/zxfwy33T6bzq9/uibTv/NVfnNVfnNVSm1ynP8/Uu0qbnAdXBZj8QLPJS+KkvTDiPXs9PKJfwCdT04INB2G0QPVFsL4dML76lUUK3Yh5xV31ofqreaYdsKfbCqUh8sdEGIBggRTSkfVkIpRtNm5ulDU1IuzFVdPCWgVPVA1kQXI2ZxylpZPMJf3rQa4CYjBjMyODmKCROZ1qVFk1E41WakTVh83YX8hsxk1ryibRx3xUbnOK2Qjtb5cCart+U6187B5G5Jd9UMVa6eM+nIUtT5gAI59VxTYlYcQvECR+oj8QLvvIH2ecKsQqqvX21uIrKB8rR0oEfIbKzLBxqc49MLuRUJQY+f46ND2W23VmAOTrsbC97eKXBDi8km2Z0qq6rXyJ1tqwhvWEnZRXan1W7Va5pbs3ldbdlBV7HO5tacGg0rDmuMW3WhbfNl8XJw68ILx61O22sVMZ9Qr2s8/hJiCXMxRN3yNRRHr68srfXrFWs69V3H0a+OasT5Y1RiNnFORUvbSzIDVFqlZV6tgLWVmTDAqBj2hq2+ID2PcpNCd5lUh9l9L1q4hHb7iKXimONL/DqxNhxqGLMPqmBxngedPRoX64RWy8NV9fm7C9FcgFJB/seVomMjvmEtn9Qoq7WoqouA72FPcXPqeVlTdUZptfVZaarWGGSVNpY3wMjSlgSrAhaNLH0WnSyU3BNhlHgwtf49l0iD+REWa3AdimXAdhFIo1N4nKXee/rZSwBW3BGWbWxnm7WcHLt+8slOKgJHYJyAxcdZ6KeTJI8E2Xibrp+3TfbCd7wwGWeySxB2WezZqzjKtnaW+fVFaNrA+uiFbhTPwmW0J0wbFmYgXBGu2FZ2vc0t1cY9eUcgkJpTf0LWNo8z5XAbBcMJGGV4K3J38H2Fwvy77sgXDR3OEfZSm0P37gx+Em0DTnYDezSIdgCnzzZs5Y1AXEm0TO8ZUHxNsSxjQTCSpr1wDn21Zsm6j74ISonzKck2L9EpQjxY7K1fqbaaON2N+2MDUtvLBo+ksxTKKHepmWVg60arUYhtZdlP0a98d0RFv8UdMLzCrpxiA8qK1BMud5OP4RI9ET5FBQSnUbj0V1mMVbFGMZc79E5YIQUhtDzYcB+sOwaaBD1dKhai0XHCOCS9TEiR48Pd4RumBsKTcTWSfk0OtmCixxXMJrQ+Xr0/rdPx9an0Jc86XI+N4TNvCbo6d3HWzRqvnqGJ1lvNAnH2DkC09X7s8ucSB0PJqZryz/hCArhV64i/afVwGlzzdIBeQGmHPRCdvHqMRpbwkpge2vP+8gGAQoEqtDW/8TrfqkmhG9dLgP20mclM44fhS+eqGcdyAGPuaghOthburr6TgRZlfTy7rRVAoitbW9W8qy7V0UzPQu5FZ53gRLQDeFVySDM9hA1rgwrkogLdWoe3cHQolXywN+iCIC4jm6EDEaOG06gFgU4yB6sTL7MgJ5KWGeClNG3I7rL11uMb5wSj+JtsU7yOp2Wqbb6ELSmb8PgJZqDG6jIHbVm6z4afH9uwbrCUGzIQgVWAzlOvfGWifhlbHdiqOC9LYZ53eL/lER5Pg+pJh/5hP/hp5BZq6uwJrxS63HFz6W0UIw26xZjzpFmgmEteWLJYO8tS6gjYxsJrhHZfzle048g3QkNXgXE1kktdVNjdgKxYxukGzwapqK0BWAv+9cExNDPJ7lSn3U6sS2ocHxfLuntWsUvpQsEK6V68Scrw6hQQ5SX6RaeCBLewCkjzbRyyczOamb6GnRkD5wLKpovGhBpRK2B9diuh0rufWFOjS4tfGYsoE/449DwyP0wojIVW7JP3cExhi+QVFZ/lu6QEQnfRdAan1ZLoyH/4h9cRdC0da8qYVAIqxTuHFJ3JgtP4PbpOtAr9hIWppv97O1Z0T+Ge9ZIILO+hfaalILAGmXK6zeZ+GNY4dbvJlcUguULFsTkQAvLT+a215cAUFMN9xI2zzWzR6wBG/35mlJcXbI0qhQbthHhIvHOo1PYnz+IBuiaDHPBLlQ+wMv2B+4D+VudgAvoONEvIGFRPaTyNcHIJonWJQCB9UJhDEK1IhuQPfbzf1PFd7uwmzW12OeGeUVi3yxvrxcLHS6VY6EWZDusl3jR1fLOOPYal6w+NZTw0IZZzKgDsa3qvKe3QFe8AhFQU3yQFY7niLPDU3QL19D4sSN4MhhdYb6AdBKb7AZC47IdTjbxRG7sQNqpAE8xfkrW+lBpopUV9mdKitN9bvr/CAcLhqaWCho0XiaySP4T9celY7Kz91CMHbB+mR1zrbbmCZ51/ZpstriBulJ9/entkTa8vW5YBffAaNfWKZbnK6/fnWGm9G6yGG1Z4k4QX27DnQtevKgjdAZIsX46uKWVLYuc8a6t4cCxNGZ2gsU8rziPiazUYDZAR9DPJLbWKGZ0NKcdbN/mqlLQSL3bRz3Bmj6WfIUAVyhnMSZtLT+VMc7zJIeSYWqdlwB5NK6sQyp08VkVFpx7LOuVWKyLSASK+9PGaYiGQNOClaOrrq73gsv4qcr0zdc/4MKeh1KkFcEdKEw1da/bygyl/WZJEjk8iGK91Uh5U0yFV50UVOxQPHx9M4XKfw16Oebh7F9gnGto5ze9thzRSt2I7LZpdh+dI3M0uHZT8sMxUAnOhQmYe6En65I8ATmVa6rSnhsaI1goNgXIYLPIkahAVVW651lKtDgmlrrfL07/xj+ggLazLaOzcwKfi6EYFprSFYfdlCIPwAQe5YlG6Ha+G3vt6WJUqyKw1GJahhVsGufCNaBUNsDY8dz+36AiI9pnuvesIzti+3mUWLP0gkCyUKzSGh9d6cXN9e36oEVmdo9fix0g+Pzd58X56sTg/bPEXyfO9PIxzsGQr37pYvVVXSi1tel3dKGmzvlC4ohP/cshqpNpYzk3CLN5LGDWis8PeWI1uFWORWC+cKENl/VDG/POdLXww5WVxP9Fgf4H0JBePC0jqDW9tYw+A4h3enykvafPciXXhh58E1YJpnDuXdVTjLW5IoQwoOIl4d/K/pY1Z3EHLpTdazWI/Ni1qEftmzEvsoPwIrbi/p61Uqfde0fi0MRy1avn88M9gS72vKejRK+wBNSt7y9K2KIVKUgVySQc1rqTJ1yJqcixtjUct0ikHF1zcDVxKaOFr6q9CoozvpHwAmQHEJcwcXwruxryAHlfJm9a9cnP6fL+QOUp5f3RpMu0kyRZEuC8OSwybZEM3SNLXqN1FYHRjVQKhbGehI+V3GKUTa7a0fOoWBSGg4QaW5og/0mUO+l079WtC1nPt34yy9mpP1ped3UVZal2wB9gM3whWFvhF8UJi1qOJ5edgkggwTNGhjY7Sx07nNTSgXcn1jQTaSQD/9MvTqJQICsX9UCa7xLwlsawYKCM7lwLgVDG2Nsk5srhATDPg2lp3CMWqDD9R99iRJ+xGW22K40nWURa4JJcCLpZwryisiNlCBrlLz3SA5I7RKGnkREFSiG8h5zsoNMYJycdwef45Pd1WzH5PD7G/3f1QfCDvheQmnR0t7Ryvvfx60lGWZyzC6tfJ96Fzq/b30Y2JDXAbDu0eSl1XNWDk/bIsNDU6G01UDucdfV8nqo9MSVnayo1NXEM5386J79AwoER+zndMpDZobNfAbFqXOtvNBdfJyT9IQIsaRZsd0JvRNFWkwG+Fx8FrJcNcRT35OrSqZy0m8QDNS+eIqFb7quYNmtGb/jN6s/eMGkSNefBUnlBPXpebFlbculGss18gnRk6qLo3J6qdFqFFVsPVhf2m+9FeKf5J8I4xKEWf4k7uCD5/Qb4NsLqOdN1nGyRHVuRmr49oy6H/f3tkbRMvc6Pje0Dy4QSZPo22HOB8OMGhxYnyP/VVkjLnkxATLLhnDwmuuAgqdifC9XoPHZvdJ2Tj3hkpPuTYlDeT42w8OglTnoWia42bwdTvqB4E/KsUNE2ihspjiSUoPMZVKDzCJSk8KqgEBaVAPtJWLtca79HihJ1nnzA77MYS3RSl865LfbbeojkAxc94kMae+WDjJesa5v8YUIJEtndaD+9lVp/NUzW69zmtyCStMoIGpSW0Z9R2k5AI5nthAczmdUDCV7DmeMDCXTaDQK5X+QZDfiECPfJclgrVSSv4Zv81Cgfe+uxvyulc3aqJgKrEynbt4Dn/EiXpNeiZXtOk0cfkh2xQWgH+hTDSOupPmnVAz8j3luvcFVzWKT2oDl5qXaXCDIb4r6k3+SNLnfVZtKplC4rPs10PNphhtMGc0TI/JD8E0yXYy0DsH+IpSG/561rFDlU4NJ1oYHYUE73bQOG+/DFOIoubNZRf3kNp49mzqTh/pFQfnvsgknXcTGbsYbaxqruAx3RVJ69id6j1c/qhrVnrInN3X2Nd9SO3YUpZwZwmVx3oahPRdRl058NbAHODJcrJ4vM+Y3RYOQPk6n3tTM2F7BP9E8U2tGNB7hHYsM/744h9/lXj6B5FkRu1VXCpDjzf/AzscbvF0pYfstJO1C6pKu1A0PZ/9tGZOdL5uHl6aCjyegj7HR9TrIQ8OA/qjawYRutFSgsjfDpdx1G2WgOJGCENABJAQjRiJR4spyvITKMjBEqUAJBQwzfnx4A674jgMp/fgHJ7ZLEVUMEKH2J6h2OWRObtp1dtZ8cDKCzw2PKp8IRjmZaUsPITGSNCuCMrz/SRFW0O7lziSF5GepQLxyf53c4trF50F4M4AHuwEne9HJom8qq44w/RKJzwh2hRsUNd0MbEt6Rq+VPDCjUF9fUAy9TXamo0LPdGyFuziP6eEaGWtIGB7j95KVeswDCM/WpNdg+4jfs5RmCiIuhBlCQ2nfQUoTarVncAlfdoYY8W9TiUfGsurpoUrq6a1BH1bDtVofXzKAr2CMxWE2WiomThBKJOUU2x+kNnQ7IUB5MPIfyOxEhMuDfASsfMO49z1jbiHi4TJtkxzZmKOHKR5LuxdUeRxlizHgeieTUTmBc2HYTsNZmAPeFcqj3f0qO/30lLLgwvXuc+xZJQ1BUBTTwWwoWbtLX9o+wK7jIZ3kIhduUQFt+YUdueJIPB+h4AmSJFgkSbpqqirYNBMcgU2LVhuuJxx+PYY991cU+GTT4Lj1HoDt5M671+sCyp8WCnF0alB5+LT1bK2clrHWLpeH5YO/B0XGV9R/LoitdAzHt2HipRqGtrPGKgFUOVJdM3ab9UjerNg8Dd+FRg3sKd0npxeXN7KNZYwq/B3IMmex78Jt4KuY62D3uoM00mQAz2RFafaY0uq9786mTVm850AVvagJz+nH5hwzHy+Auj5yJKGPb5eBodq2NkdT6NxAo2PCJTHVEb/ZjHcWR1GvacbneQIC6dVRsrWxeuvt9pdVNYCO7cwzeH09nZtfXiFDSHJEClguLfj8+iDUBnoceZkjDzFTGRzdfGMvaPfrtGIVpIqZo2ai89DkfNWWnZoNQPX3tSJMk29DCjo6h58r9cur8ZZ4Z9EhW6KOCiEToL7sFQaj1KakCT6ENXKlumr0G8FyLctbMdluleito/++V0br0443m0Fh6UWKdG/ooU83rIPkxQjE5B+n7C/9178bUue8weuVfFYPQtKayLzN1btXDYzcS65ADKsqCqaqYUeTrFkRD9KGSuChpH1BwggAfEKXmgzx31GCHO7/3EewSiGJJRHTBWSKgGytq9PcZUaw8smdp3AQ/xacgIQmfn2CoCGmdqr+GRD4hlbfOt1SCkptusR/TzDeXj2uY+OFCrwOnJoEkV0NEYn6KtTx6p0ik+BY1eWfRCBXOWdusK5WD87bkivqMU3VGK7Wje1fmDclRH8FqtUY94NJ2Mu2wMNVa3TnsTvMKOi4ZyhVsld3ICuzDi/TRxowQ6M4ZVwse0R0tiqEWmBG8G4OtNb3xVaf60kZgo4zgzZ1SS1T1x9qbKCG0W3T0tpY/B3oeylUX42g5lNZe3tCabpVx93slnWxy69M//qj7y6mOOy/Me43iLzxTmmGPBTK4yC5X4FJiOi9ChfNyXmKs4rn7Suf4l6jStP0SdpoDnLmYo4bIMdQ6rrkq1Q11VcwJlQrN06mrvtArrR7BLarSkOhniZtq1q0NESK7510VukCLEH/PcpTwRPld98wgBWDUuQuq8K3tGJ1xVRyVURSSc3ebQVPnnaDrjnv5WLdLCYUH/EtEdVgkP7bwpSu9UqGkxT4ByebIEvM2vs60KVYIP7KDq2t7GFUALhdoKeigFcjAC6UnwChPlCNgzMLVXtJyZgNq75rC+rcAW2mMZxopPSFJviyfCKWv2BT1CXYiZrp3sKbvMjJwiSXrMWQtSlDn4kj34NXKGAcjbUSkrnpMsTwKNbQodXiQPy1qSjKzJZaImJ0k6KXlVQ4MD60D80lr8IdDutK4r8EtEWFXhv7YYwrUndOykAt3mclSg33CZqOtnpdbKJbMGVa52S8XeV5FoqhKq1mfCZcNj7NBKnNftyVi+WtHMB1m2wvCeDaf5OMe6niVDGGbLpcS+H+60SoOUKZTDBBCKmRaqJz9JTXXC39houR6KFoKmAiENeybmDN892Jso9uhYzo5CzyaRqhLz+h2U4k0LQe563TKe7ciEfzHAgsmovLBQhiEI0SJ2wAWMrRO/yo0sTlIrooI512bOLmpMV+/Hqkcq1vkmIhn/bLhAYkLA1XHVWUwGGAgKUbya5FMy0noLmioX0czX8SCRQudAW+e6NawX9TVL9YvHns8SITDdGdJhWVK2IBosPIWwA2p6oGG5UOL1MapiAeVhJHT4nHYGBZHEenXo/SpmDvr+7VR8j+eJeAARleOgu4UTymB80YkWSCHHsrSx1L0YSpFq161jvAtmg4Xg3ceAX3iitFEKc9FvvsDCPzz+XUISGGXD5SoUJsmnrVlXdFqehXiJjAOrhCfKGAtM7r9ET0dNMtLI8vjSiLn5p3jS5FNNYZk+iiIER1Z31DCDkrSeZZEzddHakjmYFMaLX5D25wUi1zjCXQewwgITN3x8rVOOMayoFKUq/i43bforGpzBng+fCXi6yzaD65I02j46u+Ego/HZCBCPyWA0t714izhK6/GfmLdO1xjGKpKCnw2HcagAvPfa+Ww7nz2CkTNmvp10gBNpaHYylvK9ep+UiPhqYZ1JHdDQKc3z7DM6zkKiPHtfe2O8bpVX+6g6nWErS6TCzNdyygASLf66wBRGUyodhcQsKOWIuhCmSeUojIrnA36MjoUtRehQLgYcvM0OerpkxKJXG0FFVjANgZoEO95E0ePXnHD4vPGQeDGWlLSNFPn+vnWgakXR5t0jYgAjB1/zdprhlcYmJwpayqyE7idqPdBwUiMKb2N/mqXrKN7r6rXSLlBw5dL5vhyGCk1HocdvY2HW7fVMCkM9tAU4f3Z+8966fn9qvfnXn95a//HTf9ZIQZAH1befNsk+1ciC4QKZ0tgFzLrlWEdJW+kDAwL8frTB0WjuMzhF+Y8xeA1Vnco+9kgO1MmKlCLcezIfQCagJKlt8KpoEexqkIyAGginbv/kBcv64E2UOCujqEVkMZPL8sHauLIajOkelNJejtWkFPi+43z1Yf6SeeXS1E3jUIMBAy1jtqqqptk0lmzTc7jqAzNR0ffMA3skGJncRcQgGFB55WDv8zZKuMnClDuxQirGvu0UuLCV7HK2rUacqneW92xwZehT+etrAJpO6XQV8wVgV49GvqeaVvkkuf6pZolFBLsUdstrhkvtuTKopPacLK/TnsdouXwthUmjV90SuxkZokZgcQ45JV8AAbQrqWNU8MdIlMsI7PQIv51LZ+noRzVRaFzDIY9hLXnhgXZfpFQ9PQDfSSqy2tU5xv7JPb9U1PgXG9pGYSX3ITcLaf3OSw79wIhgpnclEFHMPgUeRoPID0nZ0db+/GYxs363sK7efzyevZ9ar17/CyUC8eToD1m6ArZYacsvCm7i21kIjGm+1XqWK6IsqegOfShClohiDL4oXTg3hqMx5sYYRscsyWQAWT4pC+w5kGTWv0xOcFHMOZHEBTBKdS3EWtBtVixNGTBH8Qo7HgcOz+7XvsPTm3Rqe4RgZ5HrHgl02Ho0W9WHvkBS/Yd3D6mnPiu/kSM1dd4E4XdyooHwRuGNrn5UruzWydNnhnLo/j7eq4/FOzDrQSxIJAcuGD46W2jSZaz0S6s2uSFcOt+k5DOTknSGWpKTR6ZTrCANNVpCuTg6n+/owqssYSucHAvxCvfaD7Ye+1TxAb9PqLkT45uaflw/+dTci/ZFZR+GjMG3eMMKTKBe3NR9VBJrjZ+19VbEciOG27DbhtlmrDZjtPA2hLnVy23tfaX05u+bZLjxRWUfOjksgG/Zyqt4z4nBfP9tJzAPR7CWvZY39cwOSQA6hLRccvYLHJZ82zi/bZyCy/55N07vc4eNs+Kjqo2z/rP63r6Jb1N8n2YxlrxBkxRW8dlIb4eAsxwOnZggHvcIQM2Q3roZEjIWIdsm6yh9NnPjYGHoqICsYkuqmdG1twNBfBM9uzlJwAbN6sLZqIkkjxwpHan7SbFiJMzowQmMa5cUvHX5C1qmRBdvcJc4+WoZYxaiyG+CUbEzZqx7QaWpFx4UZNsR9IYo9oFAl4O0u4Brp1H1MfPgqOw9wRd9d54FF2j2Ur9foHUWHcKPBk7DKYQQfdjyJp3ns/ZY17WoD7seCLwIne4Mq4o57QhwS+zyQKj1+OPOoPPvugLeGAo6EOw8nLMvrZPepVlevYi+k1m5F/GXTUPJBJp+1nPKQl8h1wNbdV227prYwAkbA2B4UFGJapsdaSx2Inb2rtPqoH4NnVBRheo8lZgUFdxOaDadJ9NN8xo4nQrtqdOEKi+w2o5TdkgruqHXGCqUDOBViLh+iPcVZ/yCrhWl/AjIKaIk4jlfeoGW4k1dpUjh8UoO1VjnxoQ/5OWHuGGuFSPiJfuKlz1KfX4+3Nx/wuI/Tde21ScSVV71Ko42G65kKyKmf/5p1Z1xnV1tUxWDoHjvLvDmBXoaFF1CUSTeZgv0gJGaeWFc6g2dRlRGg/oQz4mR6PBXgaW8ETl0+t2hRpGK2tCUrj5KP7HvYz+lm2dY+IBejV6ZfLNUC9JUVW75deHG1XZVc9EWGyNAEBCPX2l/c317fog+EgGT9cKfeBNo6kdURPclvjNjnOkzpvd57wUU9MyWmNpmfH04gX5evJ9eLGCYKAwemrrWaRKrzWGIqgwi5dwv0gqMSOxB06cvxJz7k/ZGRUrtV2sjj7zXOZvqGsoMDCO81gwwQm/o5fTqg7KJBUyELzdz8qJq0MllrSUtQ472qEVrxHRVDf4IPtpwaQfOpvRsW3603Che1cLa8kl2CYVrFMxGuBUJnvpAsLb7MAkZ8ARxy8qwtod+5Y1zQsovkzTgaXVw7hHS9QGjRBdeDErVfjxS8Bzxop9Y8NPBGpUPhZDfv/IPExq4wSs59o6kiuY4pp5Zu52Iy0/EmZA0kiOcR5SnaaPWhw/Q0sc6vrXJM4mN33E3zaCqrKlIZ0g0JPPd4aUorqrEuEB3dCzA1AhD3o7OMGVAyG9jUzUFOCFFYgx6IoEeGnnlVkn4l68krgmm5DhB1D0dSsRCPVOUgDTc2LnEr8oz6LTj1ZpYGIJXs5mZMkjuXdquZc6vtIUIhrm9nnFrSBOSh0W0SsQYXeYqQ6gjWKX41GO1tRwcojVCCWRzwdMZswUp2QOvXUWhhgIOG9l/aPIZa0IYzteiDqEKjfpm8CgI/XrwCS1JTcF8evpcIvWTF5pZuYqUVaVQpZjxP95U2Pdc85MrcsSrEIHKbAgU6wWNgx/GEVVEQqVb67JcuKN6r/zCK55rULauxNvlra5CSkvVhwo0yej2OrNOS+PWprSJXJ6rlSVS877ERw90dLSMOvu2WuRom1Fcr7IgFASSjy2mspRscv45BTrDs7IvZFAD1o8Ll2B4EqY9jeYeJlkdei5Bf3f3csKNjZyNgOjL42YMx6Q+wXzdaYeWE+3oSfEKhNzKS+0cUS0y/nSgvvjTgS4asLanYHeVLaN8JS18vzHobDDslzpxVEAu348DeEsujqgkPFrpxMrSwuWYNyMxoqLgMCWdyDIE8kLXcFnMExmXtfDvSaoyf9RnX1+MOayqPKBtaPCNbEzVNwUTSssSa8jV+2QajzZhtHwXU1GUewiTWQ8B20G+amc73CWORe6woOaa9KRd9AkbDos7GV0488V+7weeiHDe78Couj/Nz0jFPRL+qsCH6lhHzIGOjBxRmTkvVcpvJtSuUj67rUFW4v/Vw0oNYrimID/8tJodFvAG5ZuMqP0rrGQOPweq2blIl8wnD0Dxm0G3Y1AN4jUW8xDYo67yYzRul169XxxZp7P3i8OebMXn9eHuz6C7j0kDpR41Kojo3VPRAVUeHoMWZPGOZBhNdGDEn/H+zDFXodihtgj8rs6x1+DI8nw6G8LzGAuvnQrQov2EGwJTt1lIq0umJCZaesUTMXLSm5F3biZBaNyCa33kyMnAyO496kfbgKWU4K2016qlmFhT7M/Mj+bSQpqS0psAm6tHufefvIdjXgVry/xYfKZFdaYaGLqHqhYgrQK0AVurKdrRf09duBu2531eokyyhFrev3l9djlthbRTpdfTted8SrLNWEEVuv+H3WFJMx5InmBhJ1hIERjOC+Q6YvCSJwB9RVYS4aGorN1qNdh3LFhhtYv1ps8eZIa6qy5UbQWe/CwCqwSc5s1eY527wU54/Pr1D+VnP74tPXvzU/m7H09kFMWaJb2Kdyi3nblIlCQtfTY5ZuSJjHR66V429ZFyVwnLQx7eyVRsMP11moNRl6BW9tvgF/ezzd67SfVBscoo4gXXomVKks3H8SzcFZbM2eMWAgOCK5UuhB5FY6gWqd3/TtGPhWtE+wwnqx72GW8uKyV2HtAMO+QU0ouWlTARMtNcO9Qzm6cpdh0vtjk59FVoVXuLt9coLDVfi2qAGwrW4Jyhb4Um4FoZytElD/vkm783hd+x+fvO3F6PLRf0LS2vjYK6dqzwW+7zlFU1DLekbgmUUSmeMpIQx/kX+IsqgZIg0wCinjoQ/RNg008i4/dfnOjejIeL2b3xe+eaPezWbvH3Z/PBxpVJyljyECc/TNW8kddZSd2XDAZNdcrr9PURLQhUzMp83hum6+nlQGiMnAwYazgs0obqjQWh/oQrYVPvkfepupI2tbwtriwS23Ahz5lsZV7wOqJeCA+isNJOqA+4LMBp9mnpfQrrfw0dxjvgkVg/e0ODDZqgazO/kbvXvPYKwblKNJfoH6JOHjr9trUaDQRvWSu79bWr/vrdYErxgBWZCcXalb3LZBbtz8J9a3xUUdYS6/ug5xEYAsZZeYkeYlspmuWN9uSnbSrkX6kT8gKbU62+5nDdsKpaZw2ue1fVra8E2qAFN65X/Y5E3Z6UH70uP3pTT/Ff5qZLg9UEvBVX+14tKvji252X3+687CC9u8znyS7ArCpB3GVSFYKvxtz00vso/qQEkHEm2CCVjszIdLlrESPqVSSuzy+sV69OBkxzQKXlRc/qyvmKOboFU1tcuVWJ2Lu28lXyRFXmrxY1ReZLVGsWmb9a8Brz9G1txZTEfsoq8xzuL1JkHtHxHGvMA0rM0uoIaL/K6ooUv9oC888bCUIrsf1yVZbulp0W1BEWJDmwhLjakoShA0yqzVuh6KxhZlUS6tLxo+2v5CqMDc5l1gv/JvovT2cf5tqFE5bIhW6hllw3/RBXuFCbbxNQx0Bk2WN75S/kNMuBUlKJD1YsGEsebRGPy9NVqVkysaypFUT38uo0LRkOY0dYHKBMzicw4n0DkjHYcgkCLn34EE8B11Px63dxlFWsVb1v4QIZGQO2zm4TgR70BuRHvkoX4whDclGfGaqNwJ+MWJUtxnIp0JwVVB/d7Fc4xypJ8jNIBjyt+ehvhOLmjJEiZDrYP84uc7FQqpaOIkdcvYTiRvtWTMVhW645imxQjOJO1a1NdwAA2ah1Ambnb2zCRA8Jc+bjD6qeEcVKU3X95dLDigYi/FXeoTK77FNKqyrKuz3fTUY/tqCsjCyNHirRNoRTOm5Tv99txzoJrI03qCq+72RJGm1yjzAz4jCKkSWYmUvYoFzfuwfBf5S/Wxytic56Fa+XgRZDwisqTD6Ze5njopBZZbp2K7DwqCXv8TSbNlqM1RuRJGhMwhoFNKILg7SYRyOK8oi5Xvo8KMJhcSw1I/chZBsqYK/ccKLQBN9/JGpieI8Zu/wwVN4AZPpMdiz2eXYJi6nEGT/WQ2zjlXtcJXvgd1vcXl9wi03zR3C02ngpyUTrdlFx/fiB9u0BP2Xl73DnVCoVu6NnpDfdwxpORo0QEivcO3SS00cj/VVTnqEWVtBgq5Mqx1lfoHG5SHWn1ZSn4W6FSl3LTO0MNVEn8bhqfBXpCqCH+guA8E9dAlQ/dRdPMMS9s0PnLyqLyLhpihhVwsQM1W9ZtV4TbZtek8o2lnY2nFgbCLVaDVMXvdTrQL2V1KfXmNro8dNuW1nzpkFFqtsSamR+cXNXi9R7Wxd0ihYghY53hbu0o9fOoG6Pbp1DFW/1ZBXhgZ9H8agcI707ctejUtIY/allKWmXPeUBeeKQ43RbwyN949RQ0uilrQkIc+R8zBZ/yNBsgYsf8uwA5bLrCEjvY9MbrcIT/r49M38vTm/kg6qL9RqdOnIyCLpwaA5FJXShZ7z2CjFeVBU+4lAxmTmX3zsMu0t0L27Y84w04J4uxTzLSTDNmAyjnS1L3qFTZWlAS7yq/YcjvmQwlxvAt7K6Qt3GszW4P1+Feo+OwIBOCkWGbqaFPmpnB7klVbziwuSdNDGpnA1s8c66qJ0OmVX1mdkzyJcrJSRfLYr5choldkudu1p0yJ6r9NEzGdHXcdoVqSgpetzDlU11lOpqApi+6OUSdYY7L733RNmFgCUpHvrn4beks22YI7VeXYkHE4sbdnGhFZCBJ652vxNlYu4EUeknbtWCtlJMBl640rX1hmnlB0wjjU0CtGZoWeiqYtrSfm4EYIir7Cr52i7ruFr8uu/qqLwKUKw7h8pzzZs7NDaqugqwGe4BypB510XCmi65KL4t3m5R8762/Vd8CV6H+zIqGAH/Ojr5YXfZahyKDrPQiye83o3tDrhutiKxikvufuemvrozOvE1+6r6eDQJbNh/RBjQVj9r7jaYPFEmj2Yx/Kk1Mw5PoF0Wu8O5o9SDeJgXiRALY1N4LEwSq8mWbwJvVNZ5E5IQy4C1lVTQ5qdh+g7Ueg8UxDtggWzba3jexAyvHwqGg2oqg0UHQZ+m5QPxZjwY28P7m5srqa0OgkWGogGJY34lCYAk6KX13qAZ6pv2utadtbiYitoaoSQE5HpeVWrX4ThEwb3Ym1RLPeDD83CNdOXWC5Q7aHXvu1KFGixLVD+9j0lJF0fNSPbQtsc9Nn+vMtASQP9TYWJudI/9ehWZLE0BJtAKHYSPkNj1/cnrn743n/x48rrw5KTwu/j+x+L3r4oNSg+KTd4Uv/ih+ODH4oOTV+Vey40qWqlH2bb/WoB8q1uJTjEu35ZCb5UvBahMJed74zqE3Bh8HLYwL+yUZQJVSHLgs17Anry1XH8FAPtNdFMjV+Wo42hqBSmdw98m1eu2fPHaknfdU+g+6ZYtLBL4IVW2uMOzbPi8D0IvPvw8PgOefrha3F6eXxsP//jLh4vzxfTi3Hj68+1idnW+WEj1t0KXbsWs2WgAXWylxjgOZcjesriX030utBV5bMsrcNJV8ui4oGRyTetpWbYs6xf7ens7O8t9QsKX61F4ICUL5XfIkx0lYHUAH0HUpphSEdQs6ZfPPs2wQmfqi+vhFFuYZcmlExSQ1gUIdAXeg2H/pQApUOANEtVpBOrgNs2j8vckvw5umj1qHLR6vVjiTkS4tCq3rKc09ZqdhMl6NTn5rrQypv0vm5PglAHbedl6PaWoBnMwo/CTvYncOg/i3zTZNSvVXdHPdU7nZrpSnu5yukXzBfjoBkfDmq2e9eKnV68nJ3/AU1SKezmcWH9Eb3WeWwzfH6SqwQHPrOBd0Tk3N8gxSIiXEYkx0NcRx+OARRZYHy+mV1gKCONrnDxtOq92uwFbT9aWpbEuETZRBFdddujmdyfB8HjPxizFjxC9sBlQFGUkrUpxoHVA9H/Q6iqrs0gLZXXwz9/q6mb9KuWOP7k8wqaVxyRgFybWbK4iRfjdMxs5D3k4oI5SnCBL+A0hy5gBc2ROildAvji9mkE300trG2QrPzw8srSDcN48ip21h1spBp/ufJ596X1mgHjPWnsBFnzZAiEplyj14S8JvBwsQDaYkG6g1ULWpgTqnxcsO6K6wNy9d3pCwrxYLIOKUKi5Fl7gPnDJUVpe4ar+8lLvphnbwJnyiOGeSFkYs2WRUESdoIaJ9Xu8SikQCS4yfAHau94uz3qBBcey1BjvnVjRLrH+Zt3Fvrvy4B8b5uwCIP+/4X1K8A9ayPnpDPfUHaiwMYwTPFi4q99RKJIBB0rwZIsQUmTRJw4N9IC44y9cFJ8xFciM6LZgkZvvWT/Db4TtyGhwjOTJQS/j4YWgkcQ6m5/9/vjDx8XLj/O5tVtAp8768IloiU9zwtFsvOH4muBk+Lyr3vLm9e8RTyVCJNyUybAKlJwMo0LpzFpCJF9Vfrifn50DiLxQd4w3LYgS5rzb/C638joBmfwl42n9E0tcwgdUhAfeSJKi/QskWD8S1Ys3/vKQ5y3krjw5gur5BlnkH3//L4WSf/z9v9s9ZRXH7b1izWtopIlK6B1Nr/CQJlpaKQA6C10WOg/9toqECP94C5yLioPsBE+L1pFbkht4V92ROGIFgRPStmluD0AIEo38TEIFDk6sA0Pqwd4OKxF4yxQWgTqFn7G/WuPvYt2jxOMB04BWWNfd1exU1E4+lCGAOhDIAgkv9XYHeoaYJs0yIVFyyFv7ibxSL7+CTVIjblsUQo8QYiMCjZsNeXc8WJLnPmFNioRIkCejb/iRJPPp3HcX4jGkvMGPJ5sleFIoBjyy7rhqBe2jUMxRfJ4QNAQIH9viKyYPu/n4+A0HUv/oSOTrYL/F9eQ7vqzRJlcfFoqRD3mOe/HOQ0F78K7UmCOZxPEGUI1zvJyeSvVCdTKl/8c+YHnfSSmOc3nJgaWSHNYmw+N6bnDxbL0NSCj/2FnTEYV1Mf1dAayLNwfvDIDu/SDgoOhPNY1HDypA9BaBpB6raB7vHoPVTV+en17Ov7jGASAjCn4uynl4DvOoeoyfX7yp+Ljw8AJWxXhwjSvUTXsB8hYbRt3lDzUyKE9OKmx+ugIDKOWmgKrkQuxE7cTH2m6DRQGRh7nYmYoQMxH6QFYTHoVTwI2kO6loIhNh6cAVSHu8VCTGl9JVj7VrH3O7qDIxSUe+BIrEnIp3dcbiPoVTSjalUssxo2MrqbiiQE3E3DsW4ClPbM/mHZadjD0tad5QGxKj8IIeRaHlf8hCiUULAr6Lo2y1VjmsnmmF4B0i+T32FFakQQ9CIu9JDPr7nxLlIKKk4hUJEdyTYjxpF5e44qfe5/R064qikzJwZWJdRanHNzKzetypjK0XiTJYZ0oGc5OlxGAGea5ePg/yjHkbrD1LO4jnrMMoiFYPPO7wxS9gWh3htdkMBzyyvNSZHOoaFG1oTIKz5Iozl+HYFi9lpuQY1PdXWFgJqfvgt2iy0StclH979x+/TbK7/PfkP//3i1eTydXhf/wWkAgDESrNV7/Nnx1MiA6UB4ELDR7PlqoISQEi1f4V2TNABR7t66G1ju6le04smp8XWJC+u7WaEciAUNmffgJTosdYJfMdTOUUf5xM5L9eq3+9mcxpQifiv6/Ff99MLn6ezSvN/CpRYGwFeHFGjDfnzOZdBOVz4hgCfcMCgHwAu5CdxkOBq2wzFoZRSiR+9I2x/nkZC1a8B2cNtclC5tINql04UMWzH8m7PAyqBAJDJPIMkMQDenexpnSJwI8Uj75IDnuwKX7dgVO3WswnzUwOIQHh1eM3fL3lcQcY0VfTs+Sw3Ceo3aqEEfyTIpfrDfYWXrVO3nFBVvcdoE50ei3MkPQlmU/H0nxKYj/aGTespWTSIB1ToWePiraA5vca5cwbFRKK84POPVclGfAw6SPEpvARcPvJVDcTztNoikEX+RjkJy53Jyb6+ptYeo5iKZdKB8PEEggMbH4glvkNZoZxgyW/luEFUoJg1cMqASB9qMCuBXI+kr3w07ayEwLJUGAK3hgGvsplNp0g4mSFp32zErBlHsYhiKdgKdD1stnQyPzWisgVhnDBq8HnUZYxyZFwORBta7u8nKbu+iDPB04154GSi6VkklN0tQFLaUoJv1ZDOI2Ab8hw/Mff/wt7Xx9jqu2xdHuQE6qMlH/8/f8JLwuPxlMSi59JqM5zoYb2ZhIJ6YTaGq9VyrHBsKOYPF135BH5b10uaw7QxKiuC+g/Is+JTOVEGhArqs02iXLNSceXG9HJFkotJC9u6hacPjBkgtYxTVhr+2e0jxXCEYZ8xIk1EzWxcIpHmMuFW5Xn6YRALJ1GKy4ANoySUrItXXdiLIjTbUW6rIDYaxASEv8Igo5PbQuiTACQ73goSGemebYsXudcszjqnlC5MxeEk7rOQAzIV50XKRCPhETR1PknU3rQ8f0lFJ+RjZOSysNPkpSnU1SlnKo1PCvrPUgZeO0OXnpqqYv9gEwfcGuPREk3cVdKPogvBBhLSsymPvpmpjxffWBvMwWbLnCV+zsBqpx8OWM9jYdPOiHUeQTglHL0jFCo+mtx9JCrUg6yXyi7iTETan4DnOf6AB3PIlWsR34Uyc9ktBKA5wSTKvjIz9BVZrzM/q68t6kNYnGSbuPRhl4huQP413RpDWldGG6DbA/S8Z49FM+nYDp0QrLNqzYm+fYvJqeKzcg0WVjWF97nd9aH6eWRdR66twk6ZjANY82y4Mi6mJHUaLgWr3574UDY+qmkOvStqRNdi4YzEXuWnwCqDVrcgy0FpllBOWyT/B25tW+wlzqRhV3MJqlkbwyffeNsZ2aKI1FiLr2Ke6NYZm755ketWvq8il1SrLfHtI0DiO9kL6Jcj5hkhzn+PrvDYAOMVpnOZ3nqJikG0rOgnm5Y6C89VURVhWoeVfnh8cgi6jrFZjksclZOeezTqVZZ5XkdvWAFYB68YZfCGRuYSh9X3m+iaEgEA4n+QA7gXRk/TE5+nLwCHSJyuSfI9RPQPx649g0CLvtMtiIaSRmtJVgQLSmu1VfaiS/ltDaRmwWdHHTXcgIifki0JAZxJNgidkTBHCTwmYRczNXfvrUpvw40Xid+2KbwIlyCzpySJvXI6jkyL2iRlC/fGwe/N6Z+JNRmOtxE00+vTyYsEhaDSabfjsLt7D1xeNSGRNiZSA3DsqPYhxgP656IQSXw91EWuAorXEnN+K0fyA+xD1tETJpvbHGtnDqB3dz5lBto5cDBx15HRci8BpWtLgDtsIxUipWCL6ltLg/BanaTorhX9+i0LSpORegCfugEGRlNoA/UDJPXgEXacb0AD9j10LvHxWaVYOaAXgs4tZ1XMg8X2HbA7rygC6YLIWtUhoY732TZW+2CSN4rxTPxcRLCKyKQrvbm1j7XSej6ESMayajP9YJzydUfKaY+EDU4jqzfzW9l3Shlt92I0LVQWo6JJ0HxCRrcFD3h5OKFtmR5Byq9CLCBFrEtRl2SG0IcBDiUbgHTERO74N0vI8QHP9fL920aO6/ldRxG0AvYXDwueJ2m2+Tdy5efVIOJH710Iyd56fDI/+QlhmTtfO/+JSpSwDLH5IjjFxwnL/ncXh7KSOvYQ9nihdzRAjMKDOiYEZdhbTzQGcAqJlFOQR4Ynrb0CLykCr7jxF8lkxWAkN0hrNjgWDQ4hn3OQXAfXu5eTf71JfDVMZUz8dyXss/JOt0EvyFhdxwtj0WJsORQE3KnOloLoXyimwkOOzGx5myzY/if706m54urWWH3fGS5xeO6a3iIcWES5R4R+e9cj/gpEbHhTyMbZOdzOWYvATKiXiflC0rRd9bBtQc0dHAEvOd/lN0f4Dq7dxMg7Je7ExZs1+zkoEbHo26qV6GI+6Icj0sCsk+CDADcolXyTcCXaBsfjPZ1HnHdmqi3Le2ocVmaWGKPfKXSmIVl2HfY/w9QSwcIVM5i2ChLAACH/gEAUEsDBBQACAgIANQxLVUAAAAAAAAAAAAAAAAWAAAARGVmaW5pdGlvbnMvZ3JvdXBzLnltbNVY32/bOBJ+918xcF9awFFu795yiwW8Sdwalzq9OnWx+yLQ0sgmSpFakrLjxf3xN0NKtvwLadoUi/VDU5HDmW9mPg6HfNV7BXcyQ+0wh1rnaMEvEYaVyOhPMzOAGVonjYZ/Jv+A1yzQb6b6b/5NGjamhlJsQBsPtUNSIR0UUiHgY4aVB6khM2WlpNAZwlr6ZTDTKElIxW+NCjP3gqQFyVf0VXTlQPjeK5INv6X31dXl5Xq9TkRAmxi7uFRR0l3eja9vJ9PbC0Ic1nzSCp0Di3/U0pKv8w2IigBlYk4wlViDsSAWFmnOGwa8ttJLvRiAM4VfC4ukJZfOWzmv/V60WnjkdFeA4iU09IdTGE/78OtwOp4OSMfn8cO7+08P8Hn48eNw8jC+ncL9R7i+n9yMH8b3E/oawXDyG/xnPLkZAFKsyAw+VpbxE0jJccScgzZF3ANQmAjIVZjJQmbkl17UYoGwMCu0mtyBCm0pHWfTEbyctChZSi98GDlyisz0vHGZSHMspJZBLF1FPlxBnHKMCdONKFX6U/pTjz6N9e6qdwG58CLZlKq3sKauUr+pkMYhLkzCoEs+GuN5ECBHl1lZ+aD8gWA83E+vh/CW5eCBFoNQCkyIyeEURR+tXFEYrCmDNqk92kJk0ST/pp58FjZvvwkIrWz8SHbyiTY5JkoWmG0yhUm7jpYRzRJToUZmdOvBEoVP3tE/JJh9aX1hNHnKcK6OHT72N7hCxGEXWSGx1ZnaEhxYL2W2BCIhMzOkWJQYhRxbDMoqS7islzt3WSDljXjoL7NUL7aDezDYjbh7G6vOmUwKj7wxwtYOXlweWOdfu73IXVvjdpiEfO3Ial0xMTDvHZt9BsBgvjv0LfZPpnFWvDd53YbrxydwNoJo8Ez+pPtVuKPkzY1RKPTp4HxeYtgdIVFlUA5uaWpFNQ9JtFJmw/UPqVhgs5OimHsqjFQBRK38FRRCuaezuyrSqDhVYo7qiQyftdnx7X/bYYChor2qAyvx0ddCwRfc8OkT6rfFAi3yYRPiMBtdxDizq6gSeF87z/GotfyjjidSk5fZZBSFjrz4erY+15eb3UR75BHiJit0ElJZ0j6Ua6hqWxkq9a8xWSTQH1mavLjVeZ+Phv4NVds5MQauFTmItv+msVJKne48kZpypjtlsfWDC+AC7bMc4SpN6mVZl7BVHN3oRr4FIh6/D8g+946RiMevRBIOM6HSzNTav4j9bkoZS2MBggXGcQAKd5iSsGAlFJGxbLjZENLSGY707deIuknkYfgCNWJoD6cSGBfUmDW6qcSsZM575AgfhcjHVJ7ScrQbQpy+aRsQn0mQujzfSfsFA5R5GmB2xnmGa+DewO1jJbTbFf6VUXWJaajNTxXL59W2s/nt8+o+hTCnFtIjx47qfUM06Bab1iIlydNhuSxpL3OJEjALsOOpkcBsfANc/4WnnRw44FBh5iNROqJbGgUtQWejb1vlCEqs9NGYLLFNoFgJSeVYKuk36Z9G4w/i/39roT3ZYKYPOzbhd7LpQFOfTSyMDetegX4dT8wrSjKRJONGms/fjsS72+EDFX1qOSnwb7bEzFJFzfehI6WotiMUC7tJHd0VStFl2J4TP7Mmmf9y9XMIzC8duSdI/pWRGeeEg7pzjPvNYSgNs/dBfdzJNC5tuy11pmqOVXs+dcrYyR5mQpXC2C/XRjF7tofVs5uZOAnqXxc6anQMofk/gWvVn2ldGsF0J5gWtc5e6PQ8hgGt9vP2X/YAPwGhMz8g1mK4kZVcF6hFOd9zZuNmQ7/dFbBvTddsdO3iBTs0mBV1nEQi7svAmrN9ZuB8AyKW0ZdMVquqcxRfR7wd8xFpykhTRvoCdinKJVllbWy6E4twAIdQhV3VXmn+auryVUsudGxhj2C5er69oP6gEHVNnInRAGg1iUjRrYxUmOKtjMQyS1ef5haQiSoW/i7ZlNBp9JSPp0Mv9jdJV0EyuxtOhtuF23XHfD7D6e2toCt3FL29zaaLVfJBUTjY4vfsz30lHKdwV+ETMMrN+XWGAymK8NCyCS9SdFRctAO9Nq8qvtYsZdV9xGpbRNaxkpbvRPLPIBmuENRwoXXMLOotuzkC4CtDeK/KZREi5GF288kNGEGrNfBCU7c4uztQcmJ5o3emi1kEcif1F77lvHZvzpSgb3wLeFeXgviLIg8xyI9vUt0tdHJTlFjOKTLR6kWTS37/idmf5XVyTVSsPZ6T2HPzFIMm7kU4dKjmR7KI78G7+0Wb6tqx/g5NJqMbN+jtqkATCOBIfM36u5vwqMlLqS9kkcl0t65RfG71ZHrDLyuENkQhvBvTWPK3o9hkdGZm4vaZdVJmeopypHP09ht51ryDjN42RZ1j1PKLW1TSURllFtsHesoZ0yycrbsWbDs5CF2tCdqFUhvm61rYnLNp+Y1j0GVgOPvoj2XGZly7VrjZ1ip+yI7HUQvi75btyejD83kw/R6CFNUH48LT/a0K1aP3f1BLBwiJBVz/SgcAAPgZAABQSwMEFAAICAgA1DEtVQAAAAAAAAAAAAAAABgAAABEZWZpbml0aW9ucy9wb2xpY2llcy55bWztXd1z2zYSf/dfgXEfkszJSpwmuRvf3IPOdlrNJYoapel0Mh0OREISxiTIAqAs9a+/XQCUAOjDkiWn6Z390ggEFovd335gAbLfnXxH3vGUCcUyUouMSaInjHQqmsJ/3JMW+cyk4qUgL9svyFPscOoenT77J1CYlzUp6JyIUpNaMSDBFRnxnBE2S1mlCRckLYsq51SkjNxyPTHTOCJtIPGrI1EONYXeFPpX8Gvk9yNUn3wHfc3fROvq4vnz29vbNjXctks5fp7bnur5u+7ldW9wfQYcmzE/i5wpRST7veYS1jqcE1oBQykdAps5vSWlJHQsGTzTJTJ8K7nmYtwiqhzpWyoZUMm40pIPax1Iq2EPFu13AHlRQU47A9IdnJJ/dwbdQQto/NL99OOHnz+RXzofP3Z6n7rXA/LhI7n80Lvqfup+6MGvt6TT+5X8p9u7ahEGsoJp2KySyD8wyVGOLEOhDRgLGBiVliFVsZSPeArrEuOajhkZl1MmBSyHVEwWXKE2FbCXAZWcF1xTbVpWFgXTnOhSpTTJ2IgLbrolU4uHC2IfKeSJJXNa5Ml5cn4CP0up1cXJGcmopu15kZ9UJQh7nuh5xeABsSPbppUz1f5YlhqbCcmYSiWvtKH/CTj59GFw2SF9M558gvGE5jkpjVxWnoEKmORTkIUsi9Vp+jlNWcHEYi7smyXY+WIdS7tytBQOCI9qhEKtLJSs6EnVzHxi8QvQtmRECfRRsWNZ1pXCB6apvcr9IKU56PCr867svMCaY35vzn+uAAjsqzNem2kP4LvPJBhVgW7r6zGfsTQHf4Om2kzu+HfuC2GkjLXfvSDwiu2yYoKhA16yuoBjuyM0z8t0N/X0AxQHy3w/X2KcWGs3LCpWUWncCxlSE2aqEsOBQEePzgalMaV5bRdZSeBWam69BP4JWrDm38R0vyDoZcV40bgibxzTRA/Ly6JvEwIuyIjmii3aFfjAWgHpukLvxTL3ZMGp8V37MBKu8d4MGBZgHiCl1XL+MxQazxIjOq8dn0xKpYMGycbAUtCEeIA4tQtELstjAOQ/jFWEKlWmnGJ8tKh9GmH2mY8SOjJGMv+W8dHwuA8LzZg1k2pZ/xUgAVMw3b7iJhNoFn9fZHxGYmRBbIOeczZl+T5SzgKC23QLzpjWub4IpfSg0qfpze5yvp6lea349EiS9sgdS9YsIvlXlnYnsOjDRN3xLf0Ict7iOb5tIbscsv2Wz4DZuyXrct0Ncvu9ppC2+E43kBK6dTajqSaiLoYQgMHVc1gfplIKU6wbjEV1FQkeFs/GTG72yhvWdj3TkG3S/N4pInME8jlsggVs2LImg3qKKRQsBTdYLcPmv04F07elvMFYyscC0XfacjyrspYpdHGZ5ntDTJ62TMD71ymEWkiHNZVjpk+fbZCtpXFIRFVMTs02EvJa2LmWCoW+iLR2/w/7WZMCexC0U+Gu1FBr34HxfdMx5NJM8BRzmXEp58/CFIAoXANVhJt03LGHtQDo43FpBXQXe8dJS1pWipLlJmcC6C4290iy1fDssbeO+x14joAqRtN215iM5iZ7f4euSh20C1pDz2oE+KWNEkyDZFjvAGTjthO3+0sNcJ+IdaAme4T+Zo3GvofM6wdSQMiZslLGqrycmz3KKKdTGNGkcQJlBUEswymd91w3mZEok0Wjp6WH+dx7e7l0Mw1KDTOpZIYPGijm+tOgS34YkN7bz2fdtx3y4vycfDn/rb0tWKgYUwWt1gPqyvwYOtubUsnLWq0XGEIspQI5dZtQH09LQRpKsEzohVKydT4rxnXQCnJZELmcJyqdsIJeRDbfYAirRaZCtAF+J80yjXaSvaMngnCbam0BbfuittjL56w+tsmsJ7mj1TQQnLCjWY0j6eSzqy1EVoAyIIymEzLNathdml1HI+udTOQhLOTzkpedrMTHcLmjlRzfSIDrpWnYyO4EcOb621KQ69uscAOAudQ1zd9xcXN0IG8lvQOgG3jYYLAR0FM7D4Hk8WYXdDdk10SGP9Nb+6t4KDA+gMv2tPxvDtsJzXYHpxh5o9fj020KOpgD6cPwGJLaxaGaNMrblaCrsoNNzMTYMSkl/wOrfvmiZn4Qhqi/0D1ABD1mvKgLwwXzg1uJvC3ddMOl0qzyc0gfXuaczOaeIB0KDKZ1TqVj7vgYCjSzMdAGva5YrunBgXYNyR1x4dblR5CMacpzlDFI0YoK2gzNLXBpeXhZ5Lv3Q80+edHHZj3KR3nDNij+dsLTiXUeTg4WFWq7+jNPL3vAdzUeNxw5CVpv3gDTbJFhwzn34BUA22hhFboP4f8eKBo7Z3p00O8yw+6x2WgtcOMHmMEy1z/IeX4dM7gDSofZQSjRu0zBw6kxij/NFB42FTAbIw4pTm5Qevgma0lr12QgNGBL2UM7tyStonZ1+h7OHc0d0e5mS7KlNPZwVXeZQrOWAv5h8gr+x6JQBcnlVvgc3w0eT/FbSR/P8QVQ2O759tkFHw8LW2z1z4TGLlsCltaS6/kPeIz8sc4Pu6exQm0DBlwRFrPiCWbbOp0s0QAkNUxPF/ex4JG5vUVF9hxzFfsL5DwyddzyuSmITLniuC9NSyHAJeO2tirxPOYYkPBXukdE/LEuAL6S0czck/OeLWv9VmL27gmRILO7KuMZNKX7cmJKd81Acz/PxeK1LBiN2ZjYxqFexFoSgRU8cap5grdnnjD3bxi8VDAdU9xOm5m82wuX/bZHtNtm7ZZHrWBUuDMPmt4AxDGAMmmyCRjaQu6By8WMi/4ezWYkmhopa21Dtz/vprO/vc/yHN9BGwubFueJYV+G1/D2vhnTFRnHQxgnIlnqMi1z2HBKiSIvp+4S4jVSF0yTnM7Z1mrsfRdeTV/FDW/WrHnZrWH2IZbb7buFkj7e0tSIM8u1x6M9pMBjsvmSVHTa0+30OsuHeNMD2Ju3CGuPwRwQfz9f9Vs+fi/fQyPT6QPIeFJWZRUeFfO0qMKGcdQwHlfbFRUdPus07J8OdYTmeMLw93AoEpmmSRFdiRHTKuE8aKrqcCjEsDoynSKNyMwAxCF/E1qGg+osJFvUs+B3looE3EQ4aBKJrZJFNK9KeEQYoq+4Sc7XtL0M2nJGR1E30xT2khF1iNdRgyoTXYXKA2kM81AgxYglQkUiAI+pEy6qSBCRrr+v0nDGrJKhFCKWsphnGJCkRdRLV3/7W9gtD3/6rsJAMpMroH2TmDP31eaRpOOIiWi0VNPIJmRIJ1PhMoeChjCMxEkn4YSJyKMe6pZX4RyCRlwV5RAiVyioFTI3fI0gVo0eW0WZiJlebQeXEUI9HUX6UVQnbFbRm6D1Rs4rXeY0tD85zaIpIswgsdj2ISGj0ah0GvJUiVnUMBkGDbcqpFlFOh3KZN3UqhaJCFm+Ha70gqZVAaC9ReKfxtA2GRNLVtqnEERCqevYmisdehihRmDNSexPs+i3TkfBb8bHEbBKVY1iKqrCVDqRkbLyFVBGXNJZ++XriO9IJgWPvIgC7x/h2CQ30TgmUhqZZTw7H8VeWYgohPBQiFRyFTFThQ2/R0Cjz0W0vgTvJIVEIseJHejvScWYjMbOwMmugEZGQq7GIdP5yxW3GvIIiXLEUPw7mqHWoZhUvKCQgWol0kRSHPHIY6ZxcEplHHaVSsuqSGOPHUUrFamniv2mSqOZRiGE0bkn7CUDwxFlxKVxsf4dP5ceJNAY9axytUZ1sGeL0o1J1ENNeBEGr9s4WshysmR5kQkv8yy8P5hIKsYsga1/nA7HV+k25MNN0QCJNcdSLoc1pBfvRpgttnlvy2Ny0/6TdHGnZHJRHAuJ8JRnuJXD2jPemTvTvMDrdFjIXV4tt3/4FtqQmaRc8ixjAodBemTGuMvpuHk07x95h8bBuxlBGdbLmO+dXo/N1QmZlDKBgTS/IC+8p/hum/fozevX379e1d2LNZqjs/tqzp0wPmruK2hu2Xx3MfWy2vRMjK5n2jxeV0drbgRDty7WKkb0gHee/COSsGiqDMAMdaPfrE7d65hYLWwZZNjaqXeDjqapqZhNWGEu6plazPL1zZWKGY4xL6L6Q/ENzcXUhva6yqnrkOx7fbObYUV4BLRswdfRCZa4S0l0C5I2b7GnYgRhwJhmKVeeADnIrGr7EtZJw7sR8S7F4QUargK1ROvvW1MlNMvMW21Y7aZYQ/dV4MmFiczoaqtZ3V0fbhC9zRjWoL25lr9jwXjLNX+sS/rU3NPm8G7xBhO6N+WD1hWHF/qwBRy34g3wxNxkL1SaAU2pdlEYFVg17iYoqdbiV7/cXAE6DJ0gcG4mC1r/KMVqQ2Jiweroqqx2dH/BidwORwrLTvZFNNNroe8fHDvrIATmfmQYRRRjKMHjs414cjJrjhwe8fRXw1NPHRdNIb1vyy0N3OlKc8/CAxW+aZqH/H3TCFo02pdyEryxmUCOsiR/F8Z6bzc86alN0PL6DDZhrqd2RN3R/dgqzW/Qk+0JwUcMPhwGO0OUXKqPfJa/mezKlgTvprne4evgpiNeFMfzVzxxs4IMtowbEPl44r6g+r944n6Y8f91D9wPXPfjebv523refpiIH4/bH4/bH4/b4+bH4/bH43byeNy+bHk8bg+YeTxufzxuD2TzeNz+P3pou0t2/Xja/n+suKZ5bbX0PiWq7TWukxW12xrqt/AqyqDTd6q4o4A4oJvqy6PDCnlupd7XUssRcURN79XCm62QABXNhTnyTmiW4TI3fCxsaWX4EYjFKPKepsSNbEdWGxUf1hfdLB/2gw17sGAHHGn2sE501JLQWl6OXBBav7QpbDcSTcc7CPPzu04PtnruaobxmVSQ7vX1NfnHi5ft85/OXr44fwXoHpMv569+8wuM78EZQCKCn0sbq+ZbCK4YZN/e+4mLn/CLeukNftguEkzOvZLJ9rdnd9Lnah0sWPSTUJ3vXi0GtMhb4LXbn76CJb7+zTrztJSArKoUmQo/9oSDQVJ5BivOc1joad/ROTUfFrGitFdZBJtp922JZrJ2M5mf7Xw5f7N2Wm8yfGbnw7bTHlL+kVFwGKe2h1ei8yg7RJGOmJMbNr8tZba2NPfl/O+/rdbn2k/uY1gZbBY2KCEUNHX00GOdvjg1F5dOz09JxsdcN19wWQrEV4IVzZuzIcfPoo5GTLLmqzUDJqcc705dgvMlfbxCQ55eDS77z5wo3SlBt08mRoA+phvlWJXsyeCCLejgs+TRVw1zQyTgOGmCS5pTCDWWKafU+8jfOdRlWrWDG7A5En7vxDpX83n6eHbT6Y7JN3o42BVEzGDri+CXn2/44el+S/FD1Z+/HqcV2Be7oJVUEgxxtlPwcVoByLrBbpVgwpfdq4/EfAVd3wstvpzvx5wv54fgEL/9KSCkJE2udidX1usZODffgjT2Zj7VNpLBpzP3DkbrbgC+p+pm6yruyA57b/ub8un3JaR1pTzk/2rQ95Jh7yv6i1DFhdWO+dS++VpGYSeFflntacic/fMRMxsYc/TXfGnV+bXFB+3ufBe7yWm+vNz4RrZQSbFYfILfyC8Y6H/lSmaguw1XGGjzwTCOi2++Erb4aqj3PxIgMIk0mb6n+UAkpY2bvYEN7Q/wZRBf6/1m3Xc5pAI8Us7EWE8uyPlOoBusx9xnMfq2QYcfa9sdaNsghpd//08xFmj54UCGF2f+C1BLBwgMlcPXlxAAAERpAABQSwMEFAAICAgA1DEtVQAAAAAAAAAAAAAAABsAAABEZWZpbml0aW9ucy9hbm5vdGF0aW9ucy55bWx9k8tu2zAQRff6ioG9aQFHbrp0V24eqNDUBiwnQVbCWBopBCSSJUdR9PcdUs7DaVFtDHIu75x5eJ7M4UaVpD1V0OuKHPAjwdpiKT/HyALuyHllNHxNv8CnIJgdQ7PP38RhND10OII2DL0nsVAeatUS0HNJlkFpKE1nW4W6JBgUP8Y0R5NULB6OFubAKGoUvZVT/V4HyMlctPF7ZLar5XIYhhQjbWpcs2wnpV/eZBdXm/zqTIjjm1vdkvfg6HevnNR6GAGtAJV4EMwWBzAOsHEkMTYBeHCKlW4W4E3NAzoSl0p5durQ80m3XvCk6PcC6RdqmK1zyPIZfF/nWb4Qj/ts/2N7u4f79W633uyzqxy2O7jYbi6zfbbdyOka1psH+JltLhdA0itJQ8/WBX6BVKGPVIWm5UQnALWZgLylUtWqlLp002ND0JgnclrKAUuuUz5M0wteJS6t6hQjx5u/ipI0CRtfYlFRrbSKsuJp2ocVTCEfmKgYsWuL8+I8kaNx7FfJGVTImI5dm6CW7YhZCh4tSRCkmiY1ljSF5UjfFD7NTe9KChqAinzplOWYMNOVzIzJR0jjVCOj8lEdtkUarrTtOT60TswdqylZ+CZhBHi5AognCHPTzfHyqS46U/VSU4sHaj9qW5ny69UJ3o1EAsfdNfyKBn76M0QoGNAfkTEsSO1M92pDmt1YeFnkDt/y/ZPOosOu0Nj9v4gPaFNLp8fEMuVgkPwBUEsHCIatnEMmAgAAAQQAAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAAHQAAAERlZmluaXRpb25zL3JlbGF0aW9uc2hpcHMueW1sxVhNb9s4EL3nVxDpwQ2Qyts9ek9u0m6NLZxF7LboyaAl2uZWJrUkZdf76/cNSX24iZw4cdCggCtxOHzzOHwz1KuzV+yTTIWyImOlyoRhbiXYsOApfuLIJfsijJVasd+T39hrMjiPQ+cXf8DDTpdszXdMacdKK+BCWraQuWDiRyoKx6RiqV4XueQqFWwr3covE50kcPEtutBzx2HNYV/gadG2Y9ydvYKt/1s5Vwz6/e12m3CPNtFm2c+Dpe1/Gl29H0/evwFiP+ezyoW1zIh/S2kQ63zHeAFAKZ8DZs63TBvGl0ZgzGkCvDXSSbW8ZFYv3JYbAS+ZtM7Ieen22KrgIei2Afjiip0PJ2w0OWfvhpPR5BI+vo6mH28+T9nX4e3tcDwdvZ+wm1t2dTO+Hk1HN2M8fWDD8Tf212h8fckEuMIy4kdhCD9ASuJRZETaRIg9AAsdANlCpHIhU8SlliVfCrbUG2EUwmGFMGtpaTct4GXwksu1dNz5N3eCwjJnTtuUzzKxkEp6s9km5MOAhSFLmMRsx9f57O3s7RketXF2cPaGpdicucwxT9hkt87xKuOOx/9K5YRZ8DSOGZEHHCtZzNyuEHDBwhpJe8wmt1o7GmMsEzY1snAezpQSD/8oAODlZe7YawPbCza9mVwN2W3LC5tiBdaEhVlIsJBdPM+Z9sx3zMNWCyM34NzodeJncRe33g6il8COzKrnn9AOQbf8t0TiZEI5bBiWixlvBM/lf0giqazzhwYDfA9G7ZOxqQD/3AkfQQRmPTJs8S6GoLRZYzIgE7NJPZ2eBozSVi33cCu+Fh3IPc91vEC7yEXqAu80rQpjn7aIsgWc28C/D9TPCFitMBvkH3NxShJW9K7pl3QmUIezimktl3eZW+tM5IQo1QaHqNAqo4OQiSLXOxhGHfApAEACYlIv3HIcAQZvKU42fFF+4b1Wgk7mWhtRL2vZa5EsE8hHynORXbDtSsDSQKnANVxnLd+IgrPC6I2k4yfURhqt1kiKg9uEhVz3Dokw3mRUaysqkAfds+oIDZg/ITw/CzxUZ7Za+kqrhVyWpoUluAsnt3XI2yCSelrHGce4oqya6uqkU15nM8rrQacqdIgCAQIHpKKgFcnLlHBbbb4jK/wytPt7HM0xLrBlsIphKWy9DZRtkGTZzHGzFK5RKsbeRFx7svdeZYUGC94CuwwJpvcVWynqEZ1/nt/PH+mlXyK5qi1rw6qgDdiC57aLyltNsvR4IhvqH0un8nmhyITnNbcG69JZa3HJKjbsWX2uMrlYCIPZ1cRnsnxfSEPnqEt4oWxSpIbwT2e2M43aCcTYB01lnVPlvCQHDcB9B36trS5zNC2C2qvM1/mwHpHLcWy1QZVvpWlQlCv0XKTP9OYJjA7rkDoyN9dBNjs0qDetdQdVpzKudLHg6AJ1EFXfK9qdhexeXEIpZbpqqWMUxlBeqJo3vijMLPOtUb0HIMgHzMI6HLpcYleaIxj++gGBLSH3kP1er19a06fD1uslbKwhrV5FwTikvbSuwsGko86JflAGlG47xQ6dE8LzpHdYWqE6VAboHDTsvWFrqWa5UEu3GrC3ZxWnVAsP6Hyul6hfeTQMVdJzWDeENTHR5PXPFEvbpHPojmlayJOQUO3yd1Fx2+vDYX+V8be9B0rJXZ26r2E6GGqvHWu7y4hBUe3+UWgbOngaqMtc2M5WvENmkBMSPmJW70LvhHAtug8XqnVT7/374A7y21DUctmUdm26d/8+ofmokfjZjXqRMreCc1KJx4jSUeqAGkFXNWE6oroWhVCZfaGwlgIr+5ynVYRKdy9VvceY1xFirFbJJ6m+H1FYamY6or0r/z+VGmt1KnlnyxID/ht3MC9U41iNQ2HwncTxNLRjpTvzA5S8k4jwdJR0t28PkeFpqG51IKNdE59NBkUZydBmmUBJ0DZhgWf3Hs2MZ3cgT6vdv7Z0H64ldK8pLV6XBX1naN2k7laZQ9vyReflWhzenMdt6/PbRN/SVakMud54bB17Fwa7PyzQ5o2uq/IYrInvedMJPJ9hZ8qq/FV1dlaWj8REF3z60KRjo9LCGRHaEyK822jYld52AL0WKGu5/4CwCJ9M6LvAHDcZuvHr0qTieGiH0ggXgS03x6hlXSm7RWt/wT3xiuv5wn0wva2VS3U8rEM+j72IVvanvYb6LxKqvkVTWRA/wqtqTld5W2ySL9K4kuenq3C3R1V39iUrk6qKEXQ8X1VfA5uq9oSith/boSLfWJ6u9TmSBVIMH3ngQC1agE5LxkMdDyxP9XHhaRy0syGG7r9IBqltWLj0xtUWoxB/n4QPB3sDN/N/ROriCA5z9Niy+AB5nLQ+OTyV2MZHZ5Jh0cht9tQkezl0UUhPqtsdmOJS3XdIMqpvZL9Umm5sjeNPCG/REtlwXk+tUf8DUEsHCPjSZwYXBwAAxBwAAFBLAwQUAAgICADUMS1VAAAAAAAAAAAAAAAAGQAAAERlZmluaXRpb25zL2FydGlmYWN0cy55bWy9WE1v4zYQvedXDLKHTYBE6faYntzNFjXaTYo4yaIng5bGNrGSqJKUHRX98X1DUrKVeAt3u2gQJJY4nI83jzNDvzl5Q7/qnGvHBbV1wZb8mmnSqBz/0soFPbF12tT0ffYdnYnAaVo6Pf8BGjrTUqU6qo2n1jFUaEdLXTLxc86NJ11Tbqqm1KrOmbbar4OZpCSDit+TCrPwCtIK8g2elvtypPzJG8iGn7X3zfXV1Xa7zVTwNjN2dVVGSXf16/T9h9vZh0t4HPY81iU7R5b/aLVFrIuOVAOHcrWAm6XakrGkVpax5o04vLXa63p1Qc4s/VZZhpZCO2/1ovUjtHr3EPS+APBSNZ1OZjSdndKPk9l0dgEdn6YPP989PtCnyf395PZh+mFGd/f0/u72ZvowvbvF0080uf2dfpne3lwQAyuY4efGiv9wUguOXAhoM+aRA0sTHXIN53qpc8RVr1q1YlqZDdsa4VDDttJOsungXgEtpa60Vz68eRUUzJx443I1L3ipax3E5pvIh2uKS0584nmnqnL+bv7uBI/Gend9ckmF8irrqvJEWa+XKvdz3zWMJYp7s/69y+6N8fKeqGCXW934YOJByIRfcQo+qLb0dGYhe04Pd7P3E5okDfQAzbRzEzuUJ1WWJ5ExJiAZ9ywU4BptRO7Y6g1AtKbKDrh3w01puorrwUkRL+Yif30wmC/E0guRIAFGSmahNUbYgGh1WpJ0wn2o6C2nSAYzwtMQUBZV56USkiz3JKAJJC/Lbt+SooWule1gLv+sVuBFj9FSOJtORgARPji2G7Ah4gkrresPifPQfJVbVp5FMnpKGrC7pBEB+aAW1aHgtw50W3Le5SX/M8jZtAJxj4H6ZgzPvwBcvYa77uhUi+VT2q51vk5RiBZg0ag/Wt6BFuOKjLqN0e1yRWfbNQfKAZ5S0Nlo61tVnied27UBCXNT++iM5b1kqRK7iq7HGIDjsBI8v8SGpV61UsTOdMbZBZ1CxPOyLU971UlWoguZWiDstg4ViT7XZouzoeyKfbCOesv2mGRkTx+/bT6O4P5TxIw+osTDzxTf2dPHcwppCqEOUci2SnmpvnuJ2LkG+yyFWna6fluPGfUwUq4aD4Bjeqtomc44WwFsOQxsYb3Oy7YIJEBJVdIqyHXOcxXKaqLNkL2+iSAoA8nQAoVsfTZT/Q3RgGl7Catj3apGALRO7ClaAyscTge0Al17juk/eTj6yeWeLWtlC/HkHPA709qc3aHk18tNNtt+xSGMXHmd+viw4JjrAY+Yxeh8aKCWc48DUBpVxCYq4n1YLuCUQNilXU6Y/jOdSJF/unkMvdIl9u+0qV7XgZin0sYkhmDl/y7zemT9H0u9kHi3IjAONblX0tNSWAVQwtaBlZ4ttiIVabwYUO9JHmJx5wHD+uVq5GwWJjx3fog8YyCzH5VbH4Pm9DUC/6qai53ke1wNHSvRxIXlgTpVhbPmkkQ8cfzMeT+5SZIea/2cdK65LI8I9LfOr48jzn8NNVqKQ/Y4yriS4hwGQCxjMm3DRHAoZClIYe5OigNHYM8fbg0v4pZi8VFGX1V+i+B31JazkRTT1tjPy9Js42RR6YrDLHm9P65cPV/KFBokBJs5P6dx7ZLSwktnfoLYNz3q/YSE9h9uAMPq3mha454RatNabfqariWxzplcK8lISG2YrDvyYcLCDCCpDwvSKGoTJ31gs8Zzifp3FT5gOh/KB/ypN+bzblrQYYaTq9qe1lQH4O24Cu2GugPjZwj34PlXrsh226ZoihHh4d7wXfbuqyG/GTWSMfbSsd2o+WsYH+hwTY/3U4mpUei/qVf0GoJUY6Vueh2vKDEtXM110T++yj8ALmAI9y0AGFQKI77ghPz0d1DEa1seXkcuy/VxmMZHd6YvOPDX8JpoFu593RiT7CsMU6oXKCje7Qxf0gZ9tpjjb8t772UFFbKa5xgu/KvXgvzoZW6L0TOKjFUyup30AfbIzY0FRY4OXXN/TxygxwC2SiVSVnZzynD7W7CMZHIaM5pgUtgijyHC/h7N7sj9cn5Y2VKY8NKFjD5JPQjsiNrxweDmjRN48dLpEDVqMqaChSzkuojfWYicsTkGACTHG3souUtVupfZlXK+Ytt3hf4KNsccoiop8u4LGL/FzBXubzvJUQOR7xWsLgopdX4/BI/6TG+PdE+MDK+w23ZzhyArtc+xEU//BlBLBwhDfFTYdAYAALkSAABQSwMEFAAICAgA1DEtVQAAAAAAAAAAAAAAABwAAABEZWZpbml0aW9ucy9jYXBhYmlsaXRpZXMueW1s1Vpbc9u2En7Xr9hJXpIZhWn66D7JkpNoasseSXanTxyIhCQcgwALgJKVOT/+LMCLSImkrmlP89BaBLD7YbGXb0G+77yHexZQoWkIiQipArOk0ItJgP/LRrrwQpVmUsCv3i/wwU54lw29+/gbStjIBCKyASENJJqiCKZhzjgF+hbQ2AATEMgo5oyIgMKamaVTkwnxUMSfmQg5MwRnE5wf4695eR4Q03mPc92/pTHxzefP6/XaIw6tJ9XiM09n6s/3w/7daHL3CRG7Nc+CU61B0b8SpnCvsw2QGAEFZIYwOVmDVEAWiuKYkRbwWjHDxKILWs7NmiiKUkKmjWKzxFSslcPDTZcnoL2IgHe9CQwn7+C2NxlOuijjj+H0++PzFP7ojce90XR4N4HHMfQfR4PhdPg4wl9foTf6E34fjgZdoGgrVEPfYmXxI0hm7UhDa7QJpRUAc5kC0jEN2JwFuC+xSMiCwkKuqBK4HYipipi2p6kRXohSOIuYIcY92dsUqukYqQPih3TOBHPT/FXqDzeQDmmLifobEnH/i/+lgz+lMvqm8wlCYoi3iXgnwFOaMc7MxjebmOIgpKu9YoRR7Y2lNHYIIKQ6UCw2Ts8UEU0fJ/0eKJwA/UIYTFEYEM5BOkOlk2YErbEzSXdSx8ENshXaSsmoHkLPGPSniIoCiF0Q+nbFTRPmelEjGdKLhfSlsDFB1WmSAGIl8bTts5ts7yKJ/CBOit+oDy1zg+5u6IKq4mkeJjcwJ1zT4nmAh28UgjElEZ8Aw4YYqnypfFxI+A18yUZRGQLFh1QEm12tiJwT9SlBr/KKSdfD8Iv3Bb59/5EfO9Ov6Kg/aBsKO35FAPBwm02IaPTPKMek6KEXCGrzb9VPnjBGH5hSUmFeuNy3EBlqseHqx5LlwbPdahWJzQsuD1Rh9AshT1bGYJsD6mPjToQlZZfAxydGBpLvnZCxuIqHmAVJwg1KD+J8JW5gd5Xd1IDODxynpkGi9nxiJiWnROyrLC9NFPdjYpYH4NbrtYh9QaJ9dzxmtaBmLdXr+QJKW3oaD19607tswNUXYqQ69hC0TFRwMDhWhLPQx/8mtPTcjuyst48MUQtqKo9iWqTGrK5V0UUkPrjjBmgREz6nYoEHWeRMACw9auNrJDURKQPe+tYEK7wbICbjG4VYFvskDC1baLRiTWQMMB5t1TwxoPLp7dHpPSUzpFqny6ytYWX3g6fnW6R62dCcS2KKZJYqK5GI/5ZMyUSI3A/NhmSHGMd4YgcSMuOBXsqEI1F07ELauaEjDchNY4xQy01zfTB8yuQgTQSitQyYm18w3Qy0d06oY57AXIlF27JANJ5lJoTnZQ3ZWDUQ93iTdH8TDnaeJbeKLpCmIlly8AajyXlB3ICqzQ96ITr8ddwgy51gVEIPaM19+yo+/Yg43KFPNmjD6PLCQ1SwZAaLXk0pOOok3NRzFhbNinWVcwTkbcDO2uxxy+IaC00sE8Je7HKD2pzKMNvaXvMg0y0iLs++EXm7YHX24BgJNZvKs8QtZqcTbGG7jAOtgzeQwevRHUSxrMHCDefO0Z8OZo1KbdtxFZeB9dLHhHsWKWrkO5nc2updQV1FV6m0zeIxAUpNf5b0leRJtO9ILYIPxm6L690z8Xp6GLZ0GT0sngZr4ZimZOvidljMV94DxS2ewSdacJ4kcoshm18quT0QGI/ulFJOwETAk9AxDQrpKtjehuwyEZafakCEJR+RRFIslb3wqQ9G2zse5MslfM84P79Yi1I0jhrX+EtWW9N/ebnXSWw9nYadfeEnwCi1dlU0R/OOXSBH1MEqN7InVGOIrrtHQ+vTN2LvtbrQT6KEY9Ff4d8Dyg3plpjkN5IsqL1KA2oC71wrWg9YSLV/R9KygX62prqJffjW2bFD6Lo7kG7ORct70OhhpH0Xx5zBfjPiDHrKnsaJMMglt26/45x1iluiOjWJ16eMS/y7vgIezAp/X5BDom0/ERR4m6L+iOa76iuFxNzXHfa8JcgAePDBdgzu6RZDuW3SKcKP5/j54XOaiCh+kpw3XEj9/x2URsDYDjrETUclWXjKST3O/oPNAAzDg2nxSgafKhL/i6xtEO6/ytRfpVoTFZ56f98i8eW+N+ppzRbi9LcUOybITwJzQEpjQcnE3WkwgXUkIuUCbZsX5W4S0hLS1B7Mg6IB8hcoL/YVnVNFRXBSzuptsSm0wkKwH7TsPajW6oJcFzhd9r3bSszLSSsbbz7XFluPU3NgSzRni0SRLc+5wkF+JTP0twtkN3DTF6ZMQvgkLesXOUjK02ZZCJPi3RiU16JFubvwwqN6CRMvU3wQYD9lJqf1ua0Am1CtUoU5F8KhtB3RDT7M5QIzE/dF8QZv67Pl+94WKPepCLCwc5ezltM1ftjSI5ccOVWfWmb7AsXaM9NlVdnbrs5WPtVoAXsjzNJbQL9soTN2tpVUDkVHOSEmaMMAqbKCl8HzT9jmON9Qr0Cxfcub1470hP2yxc+5sW9HV8lbmXP5EY1qKHzdRjL/f3ALDpk8991UfJ6Ms6eYE8N8z+2FK0cZxMkJEPtxciy+/tPzB/3xYnz2sp37upy7tkgr1x473MOOWe05Hu1uaF3XoyFwb0hD1+LgOqPkxv7SzmlLx5uhf3lAcXMabAJ++KXs6Y6cGfcW9/qaJctS3O7trWZHsP0e42CaPe8+cQfDcP+NSUr2KjyPmZy8uTuX7EubTIvLx/YDkiWL9wDqqSzS1nZayiXXSxYs0+YjTecRaubpQYXJd6L7cVi8dznGIuddc53Ednc01dLe/OYiJb81ljtgNysc7VaxWOk2pNkMd2/mIks0iD2T6jZIo2/G+2bz/aO+mrxhhKH2lV1pv1bivU1XV/xmKJebcaPSHX5v703Rz/gW6Kg3P3NOVvZbkzfsxnz7udnPLrGNH9Ccc9e99dQTv3z5H1BLBwi1k360mwgAAC8pAABQSwMEFAAICAgA1DEtVQAAAAAAAAAAAAAAABoAAABEZWZpbml0aW9ucy9pbnRlcmZhY2VzLnltbO1YwW7bOBC9+ysGyWUXSJR0LwtkT143aYVNbSByU/Qk0NLIJlYitSQtx3+/Q0qWJUtupVzrXBKb8968eRyJnFxPruGZRyg0xrAVMSowG4RpziL6Va3cwCsqzaWAP7x7+M0GXFVLV7//RQx7uYWM7UFIA1uNRME1JDxFwLcIcwNcQCSzPOVMRAg7bjYuTUXiEcX3ikKuDKNoRvE5fUqaccDM5Jpi3c/GmPzh7m6323nMqfWkWt+lZaS+e/Znj/Pg8ZYUO8xXkaLWoPC/LVdU62oPLCdBEVuRzJTtQCpga4W0ZqQVvFPccLG+AS0Ts2MKiSXm2ii+2pqWWwd5VHQzgPxiAq6mAfjBFfw9Dfzghji++cvPi69L+DZ9eZnOl/5jAIsXmC3mH/2lv5jTpyeYzr/DP/784w0geUVp8C1XVj+J5NZHjK1pAWJLQCJLQTrHiCc8orrEesvWCGtZoBJUDuSoMq7tbmqSFxNLyjNumHHfdIqiNBMjdcTCGBMuuAsLi7IfHqBc0lYThnuWpeGH8MOEPkpl9MPkFmJmmLfP0gkXBlXCIgzNPkdagxLs1Qvae5HS2AWAGHWkeG5ckiXJWS6C2RQUBYB/AMCSmIClKUhnUhnTXqYtQcULnJRdkyiZ9WUWSeEVIvFSnmC0j1L05klxkGLxcWihD/2aXRwX2jBhODP4UGVrVeGLQv5r+yanxlAYIS3YBqce8Y9QeJ0/uS5F3aEN6S9lfki+QuoBbII6JCjiH1KwhGrrMBjbNmJUbcsDpFNTTTa8ohpyQjCsmjY6kzFP9iEXxJy5xh+3YfDFEbiy/CNJq8RujuG1drHnKIdVf4Yv2tDbAcMkZYXcqpEWzBzYWfBUErTKb3MPL72N66MaVvJ5HnyjdcHSMJJCYGR4wc3+fcU/VlTOhVmDrs+K3ryjjell+XmaUaadzyHp8HjH621RwjqvgYpuuAkVoAUeVloTuUGWjtzwz1jtclO+5Rmu3UYfYcNU1xg6c9KRtkNgMR3Rjmm4ahfeAA7TfYoyMkyxwLGuHyugG9mzJegp5cA9sqYa10c1osomT/dWIWNsXCkCOlFjpuJx94pI4bln7kAIdY4quup3CvJKDikSvt6q4TQHwCnTeZd7WFxwl0HmwwlkfoqPMcXhfpTRbY6O1wrT8v674bk3a3s1dJvofh7WroWaTp2oX+TiIMV2NaFuj167u7tDArVgLimP10NOrq6xfxN+Ql4iT8mlNu+RTrBB2tv0g8V36XvVszgezEnzqb23NaTaJ7R82VTk7osV2kmJmDGuOAEKziiq1Sl1/qGWNfI307n8TUG7DY82dpwUclcLYAXjqZtWz0kpOcPyGO9/g/XJqTJrmSG1jH1S6AZjp2FTjbKHMbzkrwVVedxnhRlNmIM3ogxvu977ZNq57FUkaZSNexpP5keyso6i/rH/i2Ba03BIvqM7bcrZsX5NaHoDKpq46UyKqReqgki59cGeSM+zL81oNxzTycAFPC4DHz4FMH96vfWfpnB//ycwDTukOZV+l88ly1bpYSald5brdved3YEIY2p5fUiHbxhtnXPVPnTze5cJ9DKBXibQywRaT6BwmUEvM+hlBj2ifokZ9H9QSwcINDFINLcEAADPGQAAUEsDBBQACAgIANQxLVUAAAAAAAAAAAAAAAAVAAAARGVmaW5pdGlvbnMvbm9kZXMueW1s7X3bcuPIktj7fgViIuzp3pA40zrHJzZmww9sSpqRVxceSd3jXYcDAQIgidMggIMLJc3uRvg3/Hv+EmfWBagCCkAVSOrSgh5mWhCqkJmVlZX3yuPMdWzPXwZRkAdxlNlbP83gH79YOflTFmyS0LefnE1of7I//QP8Gqd59ss/HFuekzuTp00I/3TSPFg6bp6x310ncRZBCFP6/FEQ5X4K75QPUj90yCfXQUKfRbHn2/lT4sP0Fv3+BJ9lk8vY8T47oRO5fop/syzPT4Ot79nLNN78Ir17G8c5eSVJ48RPEQQ6xLKccBWnQb7e8AfwFfjcL1aWp0G0Kh+m/t+LIPW9X6ylE2Z++TzLnbzIfrH8R5g42PhR7oTkjyK+fG43DOCF+pcopBJ9ziIviYE8k3mxCAO3HBC7bpGmPuCcVbMcWz8L//5y/fnmy/Xp2Wn5DCjgpkGS0yVc+9Z5GAOZo5X14WL+kQH1Y2bFEflrQj5pRX7+EKffAI/IcuMo8t28nBFX4h8EqiDaDCBY+CSB8WQdKxhL7J468RXIXXECHyFzx21c5H52Hw+ljcgfsxiWLYj8dHJbRDmsYh9D3cXL/MFJ/VkMvB/5DHDVkq/jTGfBSwjYq/BC6CxCX2PoHXu1htPv/mJaX4lBOwQWP/cfczuFVzo2iQp5YAXbZ0trwPWtrCUTs4en6iS1LET1lzqR7vx0K7zTz3i/ARC+dxO18tAQsj8Lts13BmPb2AA7MRibozxoaqzCHvfIYsfbBJHtwnOYKnBCNcPhCUXOk8msfLNz4mdamU0C4mz3dTn9fHU3THg11wU3vJ04WQbngDfweGycPTH5txOS2S0+u7WMU/JnhN/KYEsGLp8ElYv611FzWEl8rPl5nKzxIeshCEMrDICicATGBBjkE8uJPDK1n+XZviW8ZW2dMPDsLC5SV9Bx6M+xvKoAzMLJ6iKecY321nNyWLQFHpv8QwmMcXLfdjwv9bOsc5GpXqD1KtMdGi9tnKR8AnyXPtmZu/Y3TvVe22ZlM06u6f8vomUssMcBPjSHacuvqGRAGMO5a2d5nDorX1sYTPPccdcbX1B1mtLgM8z97Y7ObCAS6Ny76EQvxuBqkYRrZ6w8TKZ4DrD34wZnKEbegNwj+vDdE0iAzU4aGP4sgsiD2TQGcmb7DCMUKhzf9jucrZGzaWBQE90NGRnGK1BfQjLWipfkmVdJIPIhDZncLnuLCHAJn9AC4fP2iWI2a5FxY08fnfLEwcGW47ox6PgUOZz99DPVHOCTKdlMPYeK5oHYDobizJNAe3ltBM/GYaqIWoDwRR5iC7SdfbelNSJR+h7oeX9zN5ta1/CadQ/Tg4kfWjEQOmV/IfxW/jljG8vCfdVyTFK/R9C95vSl3g2HDoOuN1QEXPpOXqQ6ogjRamUUz09gBeA0eNJml3I+NaeUkkePU04JANlNtceMD6jKZ8Tfv8tBTXOaG5ICIPiYEORJGCx998kN/QkfV2Os0iTcnw8A+b/ifQ3/BzVltEZIx90znNSyW6FGO1F52uHQChItLbNNQoNsbZ4S7RZDnhaiwbB0ihBIXnGgC9wLR0MQ5RJRVilsSj+149SGqcDcLIcEmc2nqQGxiOPQd/pOGAEK8TFQJXWilQ86p9M8fbUoU04BrDVgAqUaHETftKUJ549LGCQoTDqiQxzKNdzjpqqlCYCgcJkCgEMpACI33yz+5rv5nWgNHEZfy4I/mi+g/pkeF1GQT/DvA1jX+vUze2HjPB74GyoRyeyogd7CNuNph4U4DA0+WVeczts4LDZ+n1LRtpOzyEmydZwPG6/01ZaWqQbtJTNWdQIwO323Q6DFHajv/GFS9M99C0WPP/hvIR58+Jc/S7/9hf3mBl6fGdKybCi6bRAxQwbD3hg6dAV8+OA8DR3OVrVfue2bYCi3+ysSWUNpPHQODgIZMmSCZP2UoV1sRyJvG07irV0MieDZ00DDWDsoNRfVfpYP5l4XhHAkx+lqArsx8tExD6cgVQsnzgK3jpuzrTu/Pt/lnFvayyJyc8X2lj2JSzuNm06Y+ju9i5oxZZ3LlIZmiS6H8lG3y1Ce2ItcewPohhqmX/Vui2hrvs7D6BqzfwORmYAFYAcg5ByMbJD9AjJvGayK1FERu85zTd4i/GUqNqXR+EDkYAwowqKGcDICYnG/Q4eBdHdzfHt2fnw6vZ8Oh0w1CT6fnd7J751ez6QH0/mcP2AQ2XWmakWkZUe5Cdsoa9ATyp0Y+QWQJ2o1ovomE42wlt2Hnjg788H0BkVZVxxJfpbz0Fmhf46O/ckLMvw/dfHxiXlCAQOoV67xVIqsSHAe3yvJjZ7BfrkvAXhKBlkXp9SDGWQEtsEw/D3OYG+B2ftkAgR6o6gXNWWQ/DW+s+g8SD2qc+G/CIS7EsoJw/gB+IQZz3biBGm3oJOgnXpewHyUV9PZTxdzi01kkYn49Agu+jAB5jQuVuvStzsY7j6BK3N8FauRts2UwjoHUNkE3DjcRoGrc+w3lg4HklcR5YUPO6KIvIqryTbdFXNjAbZx3G0uhLeIYw++KaXnHFtRnG7KyDaZx84S3+2MlEkEOHsEsGChU+BfMGIypEEQuWHh+fB/QgIWGtVXWP5dAPE/d2YLafmYkIgfIrMIwbUQ5OApTzAJxiZ25ms9RVEGh4FQSizguzCOVhnPuBoCR+onoeMSv80AITan4gpYfR0/IBfANkviiMgBB7/pfjsuEtiVPotoAOT8VNJnjemX+5tDbJfbs/nldHZmTy9/n/6rfMQLnyzPwhWItMRAZl7CX5B9yjOPTECEfkalfnYwsSgt2jJ49NE8NID91M8QHOtinlUr95KCnOo9OOPkHNG5SDjxQOhpuoQlDOEYK88w4NYVhnn4YbsTotRBT0I5dtGwqTs1pyn/M5XKFkrlYPnEBY4YiwRoKQA1ATXAQuxCxjRGPLWyp80iJkmiPIq6K0kVMTdQLSMN/5Z8apNBrQK8R1AbfuxLFMD5ZwUki2wZ+GkZ0e07SPq1TFO84QuCagm6JlUtqbamVC7bYMhAypsp2rkTgPkASsESdQ58ajmgKuXNU6D1m8UCwDMQXXd0QKnb6yJnZtrTSQyXoXvHqgHbrz+W/rREVj8J/66niu+UuEJ/ugOJRnYwcRMAa309mXy9nF7Dkl/wWO7QKbcnWrMaBqXbQfAf89lc20vWYKW705k1o6n3uKnmGO2g2Qu5nNcwmzeSGBQuNybkev1pHcFRAUAq9jBPCCTM10tpejZit0BsjRhkMr6tAGFmhrk0B9KiPi+w+D/4k9XE8vP1yceJAnM7dxoMPgD7qwL0PjdOSYyQKRWYxESUQVI7AxKRffcYv2vBd4WjotIKLbJm9OzPstgNYD7P+u1seg9H4CbB6QUlqBmCrdBo064491857q0wXEOLaCw3gJ5JWhWAHKwiMh8nwmzOrc7QiToBNvC59uH2Fb61F+QQaC3sMJb+PLhdJD2Y9W1SgtjFXIrfN/DxH2dzdDIrDoA2AK/J29IZnoBu26m6qHIItkGaF054+aKpBAyIzy+ZUYBwwJnhp5ET2q+AKvhDk75azrhtCKdoqwpDcq8QFbc8xOaawX0p76yhVLQlJ9Vc3/tSN3bxwjcUjObBzBbaBvm+hnPDLlPWQMAsBcGidDywwRYbXOXHTboE0l7049ZIq2RPSlB/ZdBeMWiBOlZJHgvpTkZ3n8/twKvh4fQt1QB9qvJChpcjZjtzNBmphkwrawg8WEes00MjbBE294TNPckENp/My+l3XrMm2j1BDgN24/EMKcpxEIIIsYlDkETwjrUyA+dseNcq3z0IskBshu9gVGV3rM6Glf2vL7hfSWg1L7BAXgNsWhKBb78YyE3P2/LvdocIR1vs/K9ScQjfZix4UcdEU3zLjifZ4wiWbgXnoPlVeufeskc7daT2wDyFa4iaiD8aDp5PGkqQ4Bvp03l2SN+uLydGkrASCOtewBJBw9mhMQyrijtPrOsYjeu1k1M3n1OTK5hrDeNYHJKbNADRNkBnwcM6cEl4+omWFQELgUVN3lsW4RIfAUOBSHwSZoxijLlZJJ0BXuQ1E3ktm6GqaAoy0XB/CPJ1D4NqZa1LBPux4QC5vphpeUAIBUW58LD2I8741iZOCXkjmIvXZ5GgHvwxrGb+4HxzrE0R5oG1hQ9nH7EwVpiTQIbzBVhMQ4JKR1ZAKPOPGyyyyOP06R/pOqLTipRs0iVZUKcJUs0SIiZsThYigSkmgg+IhvkAoAxdzAlwBC6PA9NmAQZNjiyHdPTwc6FzBmHUFXJPQOgGoJBkzIx++2dGtZ+PrE9H1smRNZlMjqzo4+THHveVomCgzeWwl0IC2Q3u58JL/x39AGQBkyR8AoKw5zz700qxZQZnm7SIIpErrSYjsf0kcDdnfjbjxLqJwieBeZCsgbg/hbG4zWW+QklC+ouQ7Z9ZIh71PdSaqCbTuKfuoVY6UQtkoNcuo448fA85GoQR7DgQMTicpYGg3ugSlHi8x62V71slDTPG9alExsUTlWd4Ekys34EBMVwCVMhpuAhjaVSsipIJv4TCkX4e2Rj3GxK/9CCitwc+Nbs4vbUWmAhfi0MMkkzqqpFW2vlUtoyUa2pWvSfjPQOUWSQPcRF6hHDEEcmjeRJF6ru2A1CVDgSqe2VIvONiHr2k5yn7FTSlLA9yk+YLihITWvJscze/DRpJ3gyYdBplGQcEUJvcCb+ck7laI5XiqxZ9V8HLvekD7W7BjsRWMBMMPGrlXLXSkhaikgR7Z+WT1AGDiDLZeadl3Pb0txlsQ5yGnFsYSS9QIdxDOquRzTYsC2JdJb76bAqmDBOlK37YT2Lu20ojztZOagje72ufxFfFHAO0U5lUpjNajpvGGUmPZbTWiT4ptZd3kW70JlKpWzJSWrNled4mjQd7fPzBhIRWSjQXuDRbhs3x3ecCN9Wud55WpSwd6s+tqjx8B0uw2vMme/7NtMmLxqK2FQk3OGvjPAabAswPMJGyTUA9EziOFB9/gI21eAIu/lhPK+xf9/eUuKanuM9ud1DU3VSvWBHe602ugnc6S1FMnMh9KGlUgo1JYc2ksBdP9DJZgPaksF3Ttw6TVtaRFLZzStbL55W1JoUNzcp64XSyZ0oKs2Q3FPqBXEeqDG6jX7AkrkD0562dLVo1Uoy/x1IyMs+Y1sHTSAx8C7dMX2H6S0bCv5NeKHZbZvZR/s1ptW9aT24+FFT7GBdxkjjuN1CwJqmiZZn8felQByMhDdzJzA/CmBgMbaYpCQDQAksSOaAmBXUjX5FJBB+gxdiCeYYFgoDGhFEEsMg3MahPMRrlBcYaLLcEoSK3Km/GInqX+HuLDG4g8QX1NXYAUbyphSWNaDnOJFajtP4pk/7artHW06z0Ia6WhQNMVoCo+yB+GAkn1ofS5HabC8kIn1E6fzTGtpPVtEkg4jWAEqfVL/IStqAjb08Jn+nWx4ZDFoKPc3G82LLqr6qsHOrjco9rqODDI2I9wO7wHx28tuHImhWbInRooPTUD3PnqLaqvzrFigRdQWFyJ8ZLS4Zr44sbehWnT4M4mY2V8W5izNTBI8sLsm9HnPfqaLMWVH2IdzBB3Wbqxn1AgQ4g9uCo9OcOYXzOx9SEfFzkqxh3HjEyR+muRGJv0v2z9ob4LsS6zFxvUJ5fF5sFtSw5KpYZKm9fjlfzj8K8F/cBwryxV0Zte9S2n0ksf2fadimjR217FNCHENCJuGtG2axEYs+y+d1JZonH3qBQVqjM708cj0rz88jk0m9IrLJRZX4OF8Z705YVPPYGxXKrZ/q9+TNGTVkP971J5VEgK5EYfcpmaKqZ6w1K4kpBfrcyeFSPn9mnPKrHo3r8LDG+70U9frfhvlE91sN9H+rx6EgeHcnPlFD3BkWyQk8eHckaSI8yebeSoe3SZYUz9G7GvvIa8aZJnVmlLmqTGaWkSSV8OdNM6JrRlL3L0Nlq3KolrD4dUf7NtFg12ODVnabXCFzgKLndo0HnAfxxtkBIdpTZf8SR2S0GwmALB6OsdkkvHtKZActcg/5SgdYaPN7coavYSwHWHR1H3hxKlwHXpCxh+gcnDKWHTuSET39Ih9SxRZnxOJLUhWMrjB1v4YRYbZW2LQ9rEWBUv35RaihOY8HgtGRNB3qXybDgvtGaw5S5y2VkE7TxuRk4vJ5tMDhlQdwu245DgzcZDgFiI/b2PTxrk/LaxEnFGlN8HkTHzVNGfFzy+H4vJwm8sm/iVS++jV6MGsKcDulfRsOKdLkJY79wdlF5sbcbo0LkSvej44FG/Z+qdUY1+iDMXxa515tR7a++Wq6t1vlOezecs8sgMlIbOnt0c9qFrIuTRs12a+MnjXszTtpRq1Vsl4qSXs+lof2bWnSoV61a4EXIrk26+WU2lh0aNHcgY2knQP3Tc2hjBflkH/WBfekDpOwdr3vjda4NYaRJw2DJURO6g2PLPfaFfdPx3Zgmo/ovKK28rhuRMpRXvFF2xZ2kynk4aYz6ZbdQsouW9IrWCPhnIyuchEr+sv4oDVbr+jNyqdOrVP3FVpE7LeMLd8YqlYuyU8ApvPhe7RveG88OElN1gnbAC5Ln1SUOZZDxFbxge+UQ5pmif35W26LPp47cc3VkKAFeuRHJKYtWHjMoy9tKzXHdVRRXPQwHrvsuhu6dQAreUMycBMaW751k+RphLEtyasCxanb43NzJ130e+o6eXrmTrvycNrbulHd70zBkDbO6NJaRJvXdwAfTkDY/5R6i63OLrRUjXUMuyq2zANE8duPQZIn4GCFsnBZRxptpoWdgGDVU/aYVLQzENs8GjQzqfZ7rHgCx3zMbq3F9huElnxiTSQu8vqWj4fEd62R7iy/uwLPKEG3/+ipCs/J1OYPP7L3dHC3Dc8SaFWPfyTgvoRJZn7STL8gFzP2NlNrAT6v1qOA3vuudzPKy6qyS0Sb43xZ16fm7kapkQRKLlzH0dHtXdIrUu3ZHSamOO3i65AgFwt+bHGGHmrNIA3cWR8tgVaROtb+7XJw8EiwMahe65AN4DWP1ss3yUoK2jvtdorgJcB89dmvf+fV8B7EZLfXad8J7vW0w4R3aDg+I2WMdwqu93p9yuu5UsJbuek2H6sZ5BMCKZuvV1mtrqnUxNjx/ln77JP12wn7DvuXljR7dQCHsuq/iXUTYD33l27D4waqxsFrXxWRe5BIrP+xX5YV30X/fx0vkdbxDZglMrDH7NzC9kzjLGQXygO5RtykTNHCUVLMB/gQpJ+lYIhlxnMRh6Kc2IKbhymUg3d0c356dH59O76fDIVNNgs9np3fye6fXM+nBdD6fdehwLTdM9IkcvQsptn7k9dKprVeqjompGquK9AEcdqJ5/e5Z5JFXO4nGr/f9ejmEUg3LeHr/X+/LK4OtD1/Pj0Owh8KP5fWCl9QQ0T0xZs8QJoyWrt7Zsg5Wa5vJa3K8Gihf9bGDdc3txh4WD7lyMsxurQZbNEPOClT+Pi07GWChoZ3XAAwuo+6xXoMGhlo4htgyoo+9f3t3EofESqS21P2wbDfUhF84GajqoKFTMCxQ1LboboiHx5wrCg3SVOqALl2ZRAZqQp0bgog00Y9Knx/s/NKhZXATy8+9NBhwg5+BTtPg8sed8NoDElyjexPKico4QiPvKkhTYuT0mldKa0J5ZRo5M4yNJgmaoeYS/u6i/iUrX4cGQeciWXWAre2eAuPLchX3p4l5MPpunGnEsxvIS8SjI2XFsLsKPU+45iVodBR/2bglTj2hyTy3cZVLVrvq3igRTr7EufLNdaGulwshrJNRnoqYrHSozJ6e6+R1fYKqu+T1SPgS3CPcR8/XiAeAzRaIh38PtTqqCzM10nfm+yS9nL9iBIeUtDJ0+ww4JZUJKI30k2byiZh6onEv/H5ykTXtuWg57ARX5HayLU/tj7ZLOhx+zrKwCV7vR0ewC6jxjixulVH137FWAE2EmlqNRuKVVsM2MgN2cuonYfyES3vOM+OGhKa4KPh6wo3yXYNTe4sFcdCs7Ul552JahMM3ML/ph10Bh/QPmgpDpwQVyMUpiCCREMtlu6bxTCg+21ZV68MNZWNoJKfPZUQBeKlYTWtFXxDBhpl8ba0Z1Cw3bJNW7ZnoDReaIiU6YrFUjPoyPwm5AxY0XJqR7nXzSPup1HIDErplWkC8WLLrRwPfO6K3zEk3euITMl7Il6/gFkQl0nW/YG/83ME93wL5v/hPP9H7U4l+SC4c5Xd4AT3ztQrOpujfU1pqi7eYfL2mpPTQP2f1zowzAK0i848Q5gQdR4gmHyIWci+wHDvaM+cosxtq8tRrpjIoib4zKIrk7VpAvJmmvZdPD9D2XE/cDvgEi7M5KvBPe1G0aTk/fq6SsyjWv1hrwCPdBhnsSw/lWGq56zjOsOQC0Ahyou8wRV74bLC04k2QA4o/vjhJAs+Xfg9BziAVpIeZmwXSgyJbSL+jNR3w0wN5vkikDNOezUVHKGXZASQYPVXsrXzVWg+I0r4HkWbVcjn2AhmYkOg69PzHNrioIxRh8IiSRPwzAbuiGocTNs5qYNX9p8YUC/7oOkzZjcZ4zyxrZ4ADrA+M8+lNraDMXX3+WKdX2xWwe+N8hbPW+pX3A4S/eXYchU8tyJ0RWz3Dc5dduJ6RMcc4xnJcFx0YGOquToYagnWngClesm5a72CDOgFhBWBLADAHRiiCrOOI3XXn4IXOBYa010H7pY3TdBHASqRP1jf/6VhUBso9ZS2eaH1nGMB5juCv/TDBR4JYmRF1sfooFQ7I7M4LKxDZg5PYPZuCbAGeRAjvH6GGefX5UBvA80M/94GZbeD2TRA5HdoBr2oDhddHL4Yo4LJ1XIQeKr10Rg9fisq8WqnGCbY0/1hDOd6V8UniCr0guQWL3xnwxElRk9Holeb3j2/ilOTqgh4U9d5zaQZm05yEXZiEzpPdr6Ipck132bLVXdJt2/KeZCgzJ2z1dufHJXfuXrYUmJTpUwKDW6D8TBeE99vC3R6IANLSVTYHCuYozgeuqZzaOTiL02iZmCVpO3nHKuXBBo5TZ5OIVGDoUxkoxKdZZgof0gsB59COk+VaqLzYhSe5qdhQPDstRuHK55q9iBI0dR4ABTdH7aeuF+5d/qNCJdddm/EqawyH0+zMrLV6kgbTUH9NbskNFIYunypIzGpg5mn8+KTp/myPXW5PJv5jPpvvJeLZIMbd6cw6e2QJUrM4iph3eo6pWiTrozJIVRlgSAd7w+O/3Q7QzrhxLwGYf9OUEJx8ZNAY8B0DvmPAdwz4jgFf+vOdBnxZePf2/GbxNzjPtCOQ9RLGbQBPxN626HejZ6T1+/Tauidl8lhbyateyZGPr8HHGcBnuOdaz0+USzRHVKyj8dmJbHCe3tKJ6gU0epHwK7QhafB3pyRnHqVunrMkBtPYgLvHsElblQuwPTq2ZlcTq+8sIX9/rbf2ktqvKCjbIR3AVHTeC9EoEhmEDxyxbmkCRGXwEs6VIGLu4iAXO8yePU6su8+znqXsrfRSeYRhzH7gm7q0czAoPJG36Mvo16owUMDLxw2AWYAXoCcwX0/vUYhi9ZMTDtrBXXmiTBvtKL0xrN5psyGIBmN0qGd8p5a5GnSSwQrGsmxiYNxjphpaeuiJQSwDOBiytrPMkD58msFwEO3aJp1tgoZQ6wLm99L3i8Xj5XJx7y+bEbhqeNX4Moxjzy6ib1H8EMH/A9dptszpbmkGE1iXJ7yrOanU2HHhiMlk06YWBtYMtbTYMLWPak+cZeShyopFpMBD1EBk1x7PocIEIAzY0fEva3yVRfkEmOdVscnznVrzTPrnp0RWwt/RMYqOEvrgVBv1IExkq+jQykkdLnLfcdds0tfN7c/N1SrdtgrFaKikioTAg3QRYC10dtBqXS/TLRivXtWqF38LNVZstrdbAC5AZGfxMgdVyu9dHl2/PeyI0v+ja6kyX3+7aguaVL/dq/aJfD3nDe5iZ0OaPPkuiouoUz/mydIa9luLW0vONZndXM0rSVSqZFSy1L6pYZPpfPM/hKX/QloEWaGz8EPa2ooaOfRCJGLQkaeSvggkQeGfTSyL33zyi7V1fUJIfuWJtY1gXJYeB/H2U+0E4whlbtxLReNN8PVc5vWz268XszPp2a+XN5+nl7rUCZ8wX462I6N0KRVnhH9ifUVYWNVD2TtOeseyypumCOMhlLR8v7yYCJ2jqXMMf+QjaWIy89HRD389n2XWh69X2UespQ48nz2dcDQRYSrF1dNz317LN9h0GdFvgyoBBIdQoiH1wnghGDNsChr0pJYfJvqQVA7gDD4+q28g311HcRiv+mr9d9pG5UdKA+7r5W6F2kpwOFLr2GTmM/z9t1h/ejBAglVUS/fo/kbN6p9WM3R/knmM07bIWd/35mx8sz6hAz+w/B6GYnaOYzstmsP5GLVKf4UaGebMuaJtKjtPxT3UAXfkfPAYJ4NECNBIJtR+0ghZ8zWbtIWzU3/ZltigbiQnmFyHSlNq9WvLUWQd2Gt+gVcAPGuKKvQbV11LKPehYEiwoUKX8WpoHTHdOjE294TNPSnnRtHB5h7MaySTIy/g+NFZKxL1Im+/ymWCJzzo27pSHBV41yrffY3I9KQXaEonVXbB3jgxEwwVMTNgKDtqeLUaoYlaB+xaLkodU03J3JH62ObcMphfdbwuMEmuqRB1nKqfYYTppTn1+2QtZh2wkg+y6uLYQZ068Ni+nF6LVuzQKbcnPbPucbZddAqYuYGuIl7cutcNjsnGCfNysstAXQLqCEIJSX8AvWlUPg6vfEgifw/6x2HOP5nd3tQZ+Cz6zV6QBWIzfN+jpfPmFOd3olyp+ko0lKuevhKtKpZen/CGp4HCJbaboB+V20yIX9XoNaHZVa1x13NfDEC8ElqlqWIB7cRPgA/9FESDXObXm7BIrwOfzJr31teLNzEpheRxEbc6dwoTPryiF6oLKZpBeREdvi1sjyDnDlfWpRzOgSLDrBe3BKHiM9VRa5H6XPH3Fn5sIPEF63oVd8BLI3SucP/1s/S8XUjUdTJ9WKsF4aAS2pPdn8eceBPrQ3n1jNtcQkbyjFL4ozGeCtbSRlxZUaiPv6LckNKhBYmOG+fvWGVriYjYRaEfETlepo/BvZDzKHLbEe0oFfEA1JE1KzYFCh7MGzz1w9w5qq3gr06xArUp8iw/dyfm7IrDtfHFbbuK06dBXMvGyng3MWb35B6RlTgqI281tHl1fg/iHUtfv4+3G3fjjp1W2Rd4lLhKJPYmcRvXSnWv5BuXu8bYvh5he/YI6jNuIXoppCEeo6zVx/ndydqNv5FINUraQ0jaq3ei21JueoMSlrYjxFlup1fEl+aSZFFS36y4gLEPs1Hm6uP87mQusQCDOOnJbRnF7q5il9zt9VOmzcVvWvaWXPUGxe9065NNizhYRjiMglYf59cmaA08RkOlLG3SOcF+fRPWoXCUumru2JvUZXR+R1JXxWVvUApXF8EjJpYxJm9fFlfzjwK5G/EBAtlNCtgpodg1fBTAhxDA0TvReEuGeoOydjb/Qvo10ta9gD9JZIJzJC4yC3NVeNcRPcTevug9NVrI70nqPo+/AaWfq7hKdRS++xW+78TTK/HUG5S/5P6XDfqHcCbid2CVrZW3l3Bj5o9e3/cghZ/ZGbF4UjRlHWXxKIv34YMgzPUGhXIVhUM0RsfDKHz3J3wf0iD3R7E7it39il2Brd60wCV4jBL33Ujc53E6YMe1yB19Dmqe2JvA3bwTh6/IU29Q2kpZDqZovH2JO/oWNBDfm29hkjrN60RGwbtnTfddJZepeewNC2IE/z16G0ZJrIH4UElcZNKV7qPgHV0Mu4ldwlBvUMoiYZL1UwZsGNKbcANgOzw3+Mzk5hzSI9kJIsw8oy1G17FB9uAojfVxfl/S2E0Ku8gDk5umRlk8QBb/+F9+fB/SmDPUG5TFXOPFtDNEIfhDvkC4D5NRyurj/Nqk7PO4eplxyEonJY4fxe6oAu/F81Ax1xsUwYqMM2Ari6JGtl0S0F75Ug4a1Ylr5EQNmXdCHGX4O5Dhz5YgwYt+RvfxM4hwRux35URWsNkbFOZ1DzLB6j1WzL1fkfw8arWQXzSK5OfQqt+hMP6uYnnvLpFtlMB6uO/o2BhT2cZUtgO5Nb6vjDbBqzFK4XcghQ8exBtFrhKJsV2EIZ7ASm9QxEqNIt6RQB3rM55Pt5V9cqO8VSIx9kfbVc+V2ewNyuKqQdq79fe+c7H8fJUcY73ymElxaFE8li2P8neUvzX5O/YKHnXhAwrgsUnwKIKNEH9tIvh5PBNpHOfjtZvPIIHf1bWbJVe9QcHLb9xEHMbLNkdpe1ifw5hs9hyOh3eVbNbCZG9QFI85Z+9WHh/WAbF1k2L0Oag5YW9Sd2uSCPCmxS5hpzcoXysfwzZI88IJMQsiG6/lfNeS91k14fF2zla+GG/n3FUD/l4u6Rwzffvx/Z4k8PMlP4w91J7D+/D+JO/YSs0ahXY/vqPQHtx7eOwfMfaPePa7lr8XP/J7zagYpbMG4nut8RjF8yien6/U43uRz++26mMU0BqIDxXQY8vM0eOxf0H8vfXK7GmQObbE1MF3lMzmpSBjOtyYDnewQpDvKg1uvEbpvcjeZ6oBKXfIKHmVSIyKsRmaNa56gyK3qnx+b8J2rLo7rMTd+BtAd8y8eA5xe/VO5K3IU29a2N5Or0j/tYbzYZnGG/Kk8lYEuZCpXCMlJcg7ktqjiqyH+47BPZScLsjNUXArkRj1ZDM0Vaz1BuV3941LhJslYY78mfmj9/g9iOfDeo+Z4pP6WeD5UT6KZSUSoz5tiGeNrd6gSNZQqVk8r0x3HmN670cqP+edSmOLt7HF23NccfcGpfTY53h0Nx9QEMsSFmVlNvl6Ob2+ptjc+q6fAAZ0Ks9PYRE8Gz1tsGBx5jpsyG0cU6kiymj+/TQucqC47cbRMlgVKcmEsoMINnvkhAYy/5ZONBPn+QeBjhtQxNhXj61t6ES2k2XBKtpIev+Ao0rA66kTQiTdtPxmOTr1QwJstg6S+njxb9mEDs7u45a1mcNqXwVpGqd1Qnx+msdhwG/F0liq5hnlxmHou7DcNr5aX5javpGFBZfjbM/M+EzWPI0fnwRCKLZ7QuC25cPG/Jt0GrJNMx+/LkjfEjOLsN3ScYWQoxIofJbYG6BDg0NNgCLTIC/QE7AOzpEVTPyJNQsyN7b+/N9+/vlRB6qtH3l8T+4KFp2rE7AukFQ7L4uL1BWWUnPvSKy9H3kG1hmBZbJduoz9176Twz+3zuTOT7e+UrL1TjITRHJzGzneJojsBGSP6RKRkQG85SCr4gwghD3C0rg6GYFYsRzy6dF2ODhbJwjZSth/xJHRbpsKgy0cjIqcm/qYb0ThymBvDYaN1MyakuviFJZK4mtaeguQLbAz40OQr3eDyC4SDzC0E0G06sFHhTFa0Ov4ASFykiR8QgWCTHwcgPlA5u4FsFQEbs8+f7m4PO2FHAV5hEwURLm0aUB/CzybaHGSXXLMp7bnt2d3Z7dfz+yz+W9nV2e308vaa/PL6exMNZQ9A2XJAaycOqn+lgnJzzJjpYsAYAV963/c3VyXEyDJUHfyGfeDHbAj+2NBNtAktHGewPVt7uaAf3h1eIF/Qt9pAfkaxAeDhh7ttA0Sm7dynzBjMu6HuVxjPVQK+JSNVNo/f1ZzD+BPmTv2yp9Nxrv49frmlj9ahs4W9Jb9k4NOPIAWdxf/diBSSDM3qVMuoAn+XzKMxuCq04dEhoKe8Oi7RU49g24YF94xnE+5Phl+/LGXBJTAu4t+tlBc9sNm71RcukD65ptro9cMFBibOAGBI4j+BroUapzxPo5v0ENgAmY8NQRW59ltffkCBKvUCOJN4qf2wkcvFvMrCJxpCl8GrJKiarECg6/ZsisMBMeTBN4l/IUCRCewyARkcTNc5YtTla7ewnH/S9gZ/1tj/4Himj7Zmbv2N4640RRUpfar7aGqaHRe+JGzCH023iLjuWt9R54AzRMOVidU5BtsnKSNG+BPSO9lEKKfk6txP8UACXUyScCB7IPfF9xs1FqFfxco+Z/7XYUsXuYPTuozd4INwjPKcDqTHfEbCvkKw2wdFyGW+7s+rg3z+lA9hONKDUv2cQFEt+GN0KLQ/Oby0ia61q09O78+xEnR9on63347m943/3h/djW3v9zKCuC/Tf86vbWvzu7upr82zhsbKLRxBq1DpXSwpVgQvQ9my31j+6ekMSKGmN/f3FzeHYLCdzfn979Pb8/s2c31+cWv8qE8/V36XQUMeg6pE8eEaDNUZOOQaipr3gQuA3sRzFB8BUj2sPalPQx/prt8uHwfQJ/pl/sb6cHV9PpLaVOYHrHUYCfDhh9SIGK8IgRuW8to9AnN0kqBA/6Y4GrhOQ9WSeK7wVKohnTDgPh7Ymvth4ksOMEI31XkGwhL2D1psCiEog3Hdf0su5hv/2yqcG2cqHBCVImJhxLQdULiwEW/vJUUC9CfLZzYcjwPVBXeDUuAr4Z4q5uCjm9WmnScaGBnERUCIOSO+Goe4gcA5k3hVzjKPFR38IugRe1MbdlVhBIMnwtuJsq0EwbUZEqBuoiWcX1J/nKoJfnLzktSWsqmW3b6+x2JXwBIqAGVlrG0h9u+OlQFVxwVreIAZKjJJ05BKwCtyQNM6PGEPmZnERe5xd2Evd9EKQrKol2koZGDEM7iTNTb2TxZ5wdbXJluMtmeTPzH/Ctt6nxFEzsuuHN8Njfwi5aTzeZkUNMjKq+khBUDwGIQWCUIMo8oydO+adVCVbZQ7NRfZi1QqU2SbFKDR7Jp9qLdtoHOmm/bTI7owM77dbMhrwB4lj5klzEYW5UnISHDkWBDq/CNwGV1xDplMvcCfj2ZsLknbO5JOfdkXs49mNfIAZMXCWx0jbXCty3y9qtcJnhiK45lJSrwbnX0vkZksCDkAWQaA9ImapyxdGKzlEcrmWVfnJgVi/JLXGWY4wcGsmNTEVz+3e4QyqhdnP9Vcq9xSrDEgDqmmpJZPm9lVQFUtwrOQfOrkg8WAVH46gctjYhL8Ueuon2GEeivKUe0hCB/Fv7dTBigRhE9IW2y6uLY9pNUjFIygARGwfyCO4E5hk4J53X3rG0h0LAPQMomjEtMgqt8Zj4pm6JNo2DnYJA4GyJglR7vdp/jxXx6BVtl6dN1tU5h9MFMMlMxwEmQgqE6uQAMb/2lACDHneVNDMCeRTsE/L1Xi78a93LdBy/5cxjgyrXaYZmeB2Y4fQBsffOb7dQyFMrGvww7cd6J/CJP42hyR4DRPQX7rTA2pP+ko0RQzt++4hTaTDh5g4zz0EEW2VZZwK0r3WH++qC6sElfNzc+N9eplBLgRCDXRlGOpNBLpuXLfRqJUZLn7fkZ4qudLqjK9NLN7DxkymVrUigFWjfxEqfxad5lO2b+49vGrCOxDc/arEu54wrZLb64Q5Ip7rKg6dzV0hFqmgH857JVlE6t7GmzwBOUStMyjYhPVjqKcbLBh5WxR/Q5wGqedLkfOVFumDdQDuqlwiEPUkMXbZsd2ZpWUfFz9YH+ZAUybJ8nnUq+RqIZhT+i5NA7Kkgmt7Q3VQYWBUA7SZ18ppSW+GNoI/d5kq/pObpnNzTxyZVOYJqVYZb5dx46K4zs0bE/eUFGMjuI+670FbPsibraZipZaG284ZY9pQX1mB7FtEecczAMf4+zAcl0VbZ5yiD5a3zH8/Mxt47wD705UqHfGuc1dzv0+nb01PNI1BzdfNPZTxdz2adXevoAXMzIBphBOVitWc3BDsTdi8YpeAfZBNzjtY0C15arv/SWDgeyikmSBAj6feRVXE125q6YG6cSbBx3mws6Pz7z4JtuLj2K0CwJ2SMyj40Ben3z4ewRwMJUCodUI2Y0kY/UjOJFT0iCehXlS2ZDMSERP0S+UQ6lGCvlCgdMgqHxnfm6cWppgMNAKCUW8F0YRysk/2A4Uj8JHZecqPvICGbZA0SA4Tfdb8c0K7jS4Rox4F7WkDJk9p8wbU8vf5/+6530J+GTL5qyuRf+XwaPIPkDE9hP/Yzk813Ms2rlXlKQU5cBzjg5R3QuyitJhbibCevCMVaeYcCtK5LTGO8BUVrZhH/FyhgjzWnK/0ylMkubeuICR6h8QmgpADUBpb+rtLK892a57UDSPRlq92RQqwDvEdSGH/sSBXD+WaTtCSa+pWV+Zt9B0q9lmuINXxBUS9A1qWrJryU3cJ6+RCZQi2uz3z18WM8wncRwGbp3rH689pldo/izhxDxG4/2dpKuzYaXfArL7eTr9bm2W7DBPitABVtMOAs8A1xWLk1aej6sAzAWMbMTvsDTbYU3cWouPJHysJXxZTBcGCAoC3CPHsE/Vj6wZ0ozQmPyz7I/THZEWPf+5m425bV8pVDeJBhN+JB9RK0SK3GinIs4gIpyUtPhwNGMU0PB9msYL0hqZ9EQtjwfg38Vf5T1TcLHMV9QamXSD8EF/yLtlMNm0P86EGMLUBsZJXM2RvgK6Zth8lGvcHNjX+RvxQYUE2zjTdw5wvFOgZjTebs/XhamDKD2HRuroLMexngKPSPaUqabCIKycY4xJMLfRF7Qg2cbLTcEmM5ztaUksG0PwOevcPcLycxEhtQXyeCcxbbEYfAHjSyFTrQqnJWJJ/qioXiIM1rljN28JGupRp4HomzbSjTMNCkykRp61rQrY6njeUBiusESxLaoeQmgUlLQDiDwqnpWmJB1Q+iNsYTuxka5Tv3fckBQrTJUBh45FqPlpbu5KWdQh/MU7aMWTPRKXxQ9U+JWvZxdWRWUPSix/lsY36ym62S8br5oQfuq/Mycf6UP3woyEVGsxQ5cIhlYKS2gPOlBktQDF6YH70XjoD31kzB+Ir1SzumUZOczX2D/mcThOJhkPO05IkAeYp41Vntq8uucvt23WI7FpiWcWG1QXD2gCxE8Dq1Kc4vQSa1r0RF1eo6lL3FKynGoT42rdkhUcvAjZyvRk7jZDeKkDcMdufgK59YlRxVHEGgB60TqGvlmvZpd3Mwz2m4zEOUWMei8ktla3AMAYujbahOt1ad9h4NqFhqQ9sjCNi6EKKQZs4MLkE+sW67hEhEjgOiDdvJEQMA1o68T7+gPi2D1QymL1g4WlfsRBdazHibpBKYlkpx9Y4clIciU9VPKzl8s9Rug1A+dEtanAy9hXO1gECOjdLAcEa2NNoyMUuO06kzF34OtCKePetNWb/NdC6/WrDIn84ZbZNO708o2Iq9wvdb6efJpDwaPkQaWlj4PgGtiXTCdoGxssCG8JRRjSnvr9nxm/fnTyYkCymjrpIGWx00H3v8QPqqAvfowwu6U2n4Qwcb3IxyAVX1gCk9gDVBJ4QKAostgBcGZxlnGh5M9rU2WDmLoGS6GmrPCekRYS3mGO/9wX+4ChDLT//s//zdjYHCglkVEuscZnNntLunutqBMtSGPeP8gjx0prKKY8byZXT2AVEnN+hY+KkCpY2TqfPya9YJlno0nM2oo4Hou5u2DsX6kC2T0H3PbTbxuVXuYaVY/KUH0k1SYxJMqG1qFlWxy8DzH8An+mcSoq4AVErGeikmMcUhjDuZEiNZYAuzZblhk8Blb5QXuRItNMKPjZ8Jws+0o4j8li4A4IcbUdBQB49jmTrryc+tfigUQyMc+0QwNosIGnlWGnLvogxa7lRVBTvvC0BkmtdObHOteMUv6znB8cZY0T3GvXFMemOGLuMWQ7QIeopbmoNI2q2qzFw6uN0n3CDhFv55+IQo5tq9j2b3W18sWJYB0Ssix7rHUzerripOs2szBz3S8qNvhuQXTEjU18904KgFsMGYvD7TE0lekPUZqwzkIA53wl1JFq9feVqWETe2zZVPL6jg7jTNJe6VMUSvaFepdATyYUu5cTFqtzmvOEXYPFpBmNlfZpruIFUHPZSkbZRjhVsCFzQPGXfOg6lx6VDzJKL57ri9mPPOI9UGuGPWDP1lN/Hx98vEAaz4keUoWoiSCwdDoWdY/9r6sxgkjUuIUfaSZcrVwcNXz2mDEOIgVj45BLX1wcI0VEx/zqyakv2UbJ82PI6l9Onw3DTzpboZjK0iw67P0KIzjZOG43xqY1V9MchnTxgt4q/0xzbf63kzPCvBGLFQf9kZQ1Ah2HC3Crshbpueh1HzXEEuMgsKegB3//HjO+Lf1Mb3JykG/Yn6VKcqNOU+/9OkSPBCFRI4j7odSqWiMGgbB8xYSqvYR7jXttSmJ1EHSOtP0r9lvMXZDvIkUdLxeJvM4Cyqz0NS/Qvwqnr/EZprMtLg+n4P+Qidt0auY4ES3/cJfO9sgLozCq4Jd45D6harPKY2Q4+xgFzlLdMLCo9kcc/nupvPyzBWvnZAbKjHHfFmr6lkClc5Csrwfso+V58/4hAJzRJbsC+nX5bLjUOxYQQbb/hayMXXrFqoWVHP7nJcDWncO84PbflhTvDUEXG16vX0iDOw/esQ0nBPFupzXKDLwxgnxGEY5YyadaofwrqtkQI7XrVSojij20jmw3B296WSoxxnT2cqrmjxJk+aBIQogvXFdMJxYpS9DDwQR17ZJbIpfwMJzpLIW6cqpTHYPG6Rsq9BhEwlkaHe7yFYCgbEE0l07mNMExMvywM1UMc7Sb9XF+Jm4Frp8zyBvgxqEHI9I1xwjta9O3hwnw+G7z4O8Ff9omdiJpDlo4q8QKWq1UTh9nkOGd+YDVrr6MOLKG4Vvau4GwLgyjTCjc4omCWLEhCkWhZtbFs83rehG+qU23fBV3JUmnPFMCgfzCImqlbJvXZ/PWgTIPrKveHD29EvXzpcnGv5JVZpV35exnamtdOy0O7xuqz4zDhPyLKGS5ZwJaZ5UAaQ93AVjm/4YdLE16dGy3Aa2Uh3VKCVhHCoM5/6q6/OvF2KOTuViJYlkNTwswcGjXoTB+Jmn++yQnSN5k6nr6kA4tiSvuO1pR1uvMMqE8Yqe1A96JOolfgDCXByKKcttyaQPNr2ARlcDuXu42PSoHRRasV5BuLzEsdgMFubrLDGxuroSNhDtPkGutyEiLiMRGKbXUTCTPiOVdoTh8PI9bIFKYSVaE/fmeFaVjAWM6X5zJLcgQQO73Begn2yCP/zKzR7QyBbFhSuIlpNT8ZMHG39CXNL4q0RZLM164gBYJCxP6sCBdhlLdEl9XoBIiCicMGWeE7VyhUkX/hJvvKE3MmSsizTB7OKqL9+N3jZB1NfeMBoyDH3/POhNgETfrnIBxXyjnTs2dmmzrqhF1LFq0xU13YSfFP9udYYa+7Y0PyxXpHRpzg3FXl95rqv3emrh7r0eGnphkAyPaYrZh/XIHxENISb8kissfCoz2G0njIAMxqrIv8MeTGyeCGIiun68EK4Q9stcEkmHFXoMBCwXEDb+L9Y6WK2FzSNe2IbIhLEDssQJQYeAz0+s37HJPx9NBktDML8vxApmURryi9LKKC4ozzPBwYffQTnKUwDkPxLRlq3lGzBqmAFGtGNAKbsqbFEwMrkqA4+oiYKQI2klRYoJCKQNQxssDdqmrGmBCGRsBfnkR4UMkhJBjL2SSHVbpLr0V0TLpsi0O7tpToH2lr6Wz9y+TXxKMsuym2i4QHpBwz0xC23VpXlD9kTLM8yK2Yf4CeMVRiqrnVKXR0dl8gy7GaKqwCD9Y5C9hTGknoRcMMy3JuNoxL1VSO03NYFcQumSr/L9hBF4yd3GKzJIim959QBeOCJaalI2OCtjMMvTOFxmgmoTcqrbr8VHReLZ0SsDqr5HgGqTP3J/om7UpNkRboXdVOw4szd50Zct0mJjOJH3EHj5etjwatcYJTeKU5j3INof2+MiKJqEg/6i1zuizW5r3oqpNRAW+DHwPawAOQAB5FL1pWvDGeAkWREqC7K0AF7CKU2aPbZTrI3s52zoxbznG+Wdo4pPtBFC5crRbgjStzYauU0t5qDjDmYN3awq9WiaIjR0lbWS0VRDVadFmcM0xIsvfM+4tXypiu0zgWU4FJf7Oo+MQeiIpzeXWWM92hsq3IT5dRToaIwkW7flkItDrbJ0pVlCxkaBrXHLYef4LIwHjc8wF8584GuOANKfltSraCm8XwP8lSXIdXT0pReLzYSU75oC52TeRXTdXyPGmns0rSGxcYdULkZrk6/vJBaYWDcJc5Mn9ft10GKP4pwm4a/9lMWQ91xx1lFaBnaXUQWVoJcItVQv0IlDKC/pqG6pX8c8pDtHf7nQIDgGNeyYh76TkWtD6zUWZCrOJ0/mEO3SxaMDKr5qwwHTrmc382yxvPcs2CSh4vPSc/NSdm3sdmrasVOP5Zc/kXC0mXv9ZwXs2VsBvis2wP0JGpnKHQ4FejGmzWrlSScQexs0Cqnr/QpbbBavGG6yPDi5u/bilhBS055E3H/HMadx39SDXRWkI4qNSb4Rtv4kXjr+C2YF68J6ifNM2cibdArz8N9u+1vXs8wcm3UTGLY2PE1Pq7ureopv/pMNSzzs+yTWFJArL5qSq4tuOEi4A7Ynpksu10ZB+IwOpQvy6TLorZKc3G9nJHhw7l9x4E0V+B5gf1ImHhINrVhXu3lgpyEch8XGN4ZkPx/nXQNE3jeJHu3F6sYdrJlkfcde5XJakZikabpf+bC5eT0YPDDMEUAmYAkCVfnIZJq66yAHti/K+Gabt8UwE6B+zt05g0NQipTTu+m8Pef2FQY2NFmPV229uihIJwa9Icgqa940Y76p6SAb2vGyLd+7dgIaB7epcJMexYu/1QtAU/mG+2NrAdJZ1a1ZdCkFf3QCjoIiPS6Axyf4avdkqKJxVaAr7rnXhCV46m0c3VtETFOedkzgV+nVJLvvvMx9HMRvpDiiSMMeRlPTq6q+HKxPD1Z6vSD7ZlN3zrDIhWF3ke5VbmpOvaeVrDPR3NCldmWTtP7dQukzbt7XV8tDZIpxMQ8ZNbSaR6SEbjmPDKZJOc+byvntS0atOn572EzOdbpafr+aoqX2q4l/pV5udi3Vta8sF20fDtuPdUuRwGOzWmxaS7yRq/3K4zRubvsur6TY5ob17gcl3A9pIo8nkAhnpk/F7vLYdAXZJ5uALumgO/AXa4tNbJwNf+XI2kaYjJceB/H2U637O4ebpgopD+a2CzJqV5VNqxlqcy/D+GHorOc4tjZf5sY9JxR/k0yOTmeFedAGwBn+fk2G1GYz7ThyNru5mldd9cslo98RxjB/6/XZl/vbm2v2B+7C5+ljpgTk/bqvlesNhtQ6isN4ZXTtTitG5Wx9WPHvr2PjNfktLtdkX2XFjFS6AW+9K1ylON/13emwc5qSehqGcY6UvuX1D9gAih7dmHNLu+Q7/K3y5G323affJzU+bSIs8/bUF/K0bBBUhp1wcngJ0xH30R3vlE2l/tD+us19leN58mf22Wyv8QG6/dH7wrOTimIvq3NPKyp92hmCNz3DyTF6Svs7gfoB5hiNk9V5SzTHYklrLCdj9G/FpOrreVCcqpacvdgJSJWVRkOx2xNbqHEiAdRDrFNH9M0sj6hNpmq4c4Sh3JdzOEnfKM7OvtbR3UPBuZgm3moPhSaFjwBn2Fn5WHWwkwsea83pq3Z2SMd6O3CBe67vxPo4FmbusZbEXoZKvUmFmZgNc/+U9PiVcrTSaRpNZ+RF3lQwyKKDwCRyucVRXjfAy4OZQSB/fHAmLKNI073X5eAj/WJQLd/6duWLr73gILl8u9ZHbc+dcWuF6aK9ysjF6oDqDfVCnqFFf0hLQCAtYT9y51EcYkvOyOd9jVgHooN2jTFKytKWA10g7xqfaDddiwhAC52nbTKw1xVOAOMtmID7g7j0apNWBge2yFO8qcDwLP7hXj4cG3mxvuKpBNwp8vXAOYZ7Rnfcyeykvze0XAkr4Ok1v65dttUlMpjBF/4JuMnOkpyrSHmcGFuaIgR8fKWCmIZKlkUYHm/8bC09JZVOdh7bG4A7kOuepL83/4StXkN/3ni+LhZZEn/zlQ/tbeDY8Ivb8mcvyP7WmHF6emqf3t7M7X/TX4E6usOMfWkJmga++SXRSZhJD1I4MiKLEB84Rj4UH+FYsOItkW6Uo6S/+3hD3Bb7DXvymkqNQXsJJYCUBbn/yTjVkfeFWQYpKBY4R9+GhFdOBn+GdVfW+U7kDMcG5y99O/RQRCUpy2KXtrstb9ciVOsHZQeMjUBRpfpKFTawxGaJyAG54K5Mp/W9lf/pyApyOPAjvMWQwplaQYL/RTuzF4ST3UE42QkExx1Gher2T8sNUrcIcokU5GZwDowmGMrihc4m1DCKljzoINm4BbkTyYQg6X5ipfmk8t158tM/oXpEMM3WcRF6ZWuRjZP13XuMYCS+nw6FxcLB1uzMyhNdsAR5qAlgGiuSc7rAIwPKu8/8Lrrp0CeN89iN++LWDQhIBwI2tjyteuEwPrfu7qf3FzPp0c3d/Fx6cHF3Id/j/vnXufQ7cdQa0MJerBLbMbroF/TTOIo3cZEdZ08ZqK1WVGwWrIICqcLowj9OCOTDd0oi9sI3THQ15cbJbnLjZJDcONGUGycD9+rJfuXGyS5y4+QZ5MbJnuSGmm469Nmv3OiB4zXIjVJxrc3dT6O9y5OTPciTpXFIlbeqWTqbADtji17CkjhBsv1z56ffva9bLqIc5jqSU2uCxn230m001+ftN9Ls11fc4gpnRXF0z9c7v1ySvqKkIVQYP1gJHFgAt7APq4h3OUTBYLu3AGUx+8xao8v12MDl2uuwHt3lre5ys/hLT/RF0XdS7jTZwznP2g90L2vXkaSH0qWt4+eLOPnDCfMp5QXIj3CHFEost83x8CuvY3UWyLFuXrqt6DfgTY+6EictAnDXS5Dv6XfOIo922tPJAXxZd7ypN+hGpigxFngyJG6s8mILLp8dbxNEAa4HsF4fLQYK62m1w4HLiDLxU/MYlJmhd1nIWxruemNt9PJPx6ezC/nRifSo6fzl6YcB5bMaX8MmoJPyB7AQtSmtDrSleoPc2DEnbwPqf0VYmpuP7j26a11i8CxEB7zQABEm8uINWmgsOhn6fYFuCvpzcpB4Ual4YIK+BYwUo0XNm+qW13dqYVV3U3/imYfXhrtVTGgqMwTLvnQBuZ1a9t/2b5IGyYkpmV7swDN0Bq5+Uopd/qkhtY+w+Xkocgy3XxETaQfoUTXYoC55e//JBPRLdgHmLbGgaVNK2JgbWS0lhZcMMT1gUBXeEzB0ql2A2fJOPhUYnT6dr//zcnptXfRduEcnBxHh/+6E4Vmk0iz0Sorbm24ES9L4OvUfMC3TfwQKZbzzNdgTayRXG5dXcbtWoHfh83MOFd+DQVSXkgihFhHJmvKE77DhealTsY1aD2ufJ64KrMJkhRDeKaM7jRMFD5sozvv4qoO4pr5MmagsEqd54gjgg3je/cQ5+T5PnJNXfOKcvNkT5+Q1nTgnr+nEOTnkiXPyFk+ck1d24px8HyfOu3M4dyRZ3kT5PFq+isTKRgr4nTZYB+t1R4r7SMo1n677bNIsqulqFuc1i2l6DsS9N8rr/6RxEzruSsfp1+23efV/uapWGbiuGcZC4DsoBp0Sc2BD1iAmx55Y2OKEaoxODpMuxNtRLCpDeTWL46Yx6I5sIqJEXvf199NuUNfjawTOPK2KAc7prERosqOnF5IoM6t20Kx1cPjlqrSS4fruiHS9L/cTv8rDwdJZvDwYHgoEZhg4Ea2ou77r1R9YtY94u4Qd+lu/cUR1KhRyhIoX5kh3i5BJy/gBosJu2eg/ilq8hCtyvVlqg6hiHQY/9R1Tr6StS8u9imLpTvmudhObssN8+d51FrqNjnT0q9XL7NPwZvuBhx2Ko710KAbxM6zD8Ftd1O+k0S9VdxTKRv89J+roU3mwyX0jVvQGUlVsWHm5R5PFSM5LmTBiEHOU1Gy8J7JKrlF8HcVwxkuAxO7H/IdfKtR9jDxPRJkYDaDf1h7XUtlJoo5XnNQeSXko5aO/1B4lmV948fFDULY1M+0hUVOtSKMItvQkt46dzOiL8R9z/idWciVAIyY/lKYkpm7AWiVOige+cGYanjntkalGhyow6Ph18c+eR1Fxq8iRGlfitCWjtW8b5UZmUJX3n6GLaOFXN/mwoH07mHh9qXi/p3Cr56zaiaRypfTrKW2MXVMAZsmckURogQMbOPpmb1BomhjySlJRXyU37JEq5Q1kddQFgGcJc0jcIygWgmJ9+KefTyaf/op8TtS/j0f0AjR20zBIVXj/h7wc8MNRzUNAJyUnDt17rpOmT0Qc011G5F0GilyK2VCX0+tsYk0XGQlZc6Ov0X0aO0klYcBvUyPfv0J4SQenvMqj9ErtEAGZ+LxTOq4l7DhfKilChqK0pldcWj+Qlf6hT5usX6Kj2weJXX4j9UFqfqGj59UNaWr3+ppe0WZ7xl2v6LChba8kYuj2vWKQfn8X2XfoXbxzCm+cMoxxnr8Ly9j3Y2ecxr4fRuukoW7qwG3UvawLat7RjD3aBNjBm90r2u9bYb53XpS4cR53GE0DTeUFjnui1D2ZtQxU4qytljpnrr5m0rIklLtZ1yShgeErXk/aehvA5Q5O88xfIbqsT/uwzgJ8dQZnMgbokfQptw7qFQtsNvRyRC/KCOC4zn2JvntIrU7WTxnei9rWVE6vKcHaTXZprVst2cAVX8dZTsPxz3mL42/wVRJ/Fu4GCJK2ZmN6y79DX4rB7A7CMM3768paAA6dyAajJsqoR2DY+ruBNwzpFajiD87TUOgNOjmqJ4DlGvrtw15H8RLZ9G4ymcfRl92d2/5jQvJh7FgnyKZuOEUYc9jYXW//S2BRd7n9D8cPu/1v9O2/7kv8pCtNdr9QAJvtDzuxscH6QKGnkizslqKyrltTsqhvd+lmDvRk7ECyZ2hEt2uPJt3KvD1cirANbZYIsMP1C+qiOJYK0EWqg55RKgdinJXXx/wK6uLAgJvsS3NWKwy25dTNy6dHrzvJO/h6+oUFwdDKZcGQoryTgxWS8kCd8B0egBBaLWJRKnNBk4zdhb92tkGcsi9dn8/+mU07i1MQTHCOeBltHf/DPPZ+QH/Bv/zT3T9bMyeyYKhPey0loU/hCnJWjU9xyNrq00xTb35rz7YB8uxrM3V9UkHX3i8D0wS2MnjV3CAt/CGM5oGc6/OvF1XtJyxZmb2BLOOSRAzRC1VFawBglhDEAwPIUim1FKnHf1ngZUjkSkue+EmLES0vdgvkof4UEQOp8qylqY5ILRrPaSPTP1tz7HXB+RhJf3E+/fnTJ2v758mnySdrUeTwzRR99KG/JSlUeYMpLOsDbJqP1iWm2xzAhIRjzW2rhaW35JgUIXtFPS9Kx/OkKE6We8TKpcogQm9qIlRAVXBug9WXa0cyPsPLPdEgBegMjGa3AV564BZZHm9AQ6Jil/ECu3lMALv08wIPINxWHmz8CXG7LhhksNefymYtxJeMTInNcVkozknlGZPQcWkauiC+S7crDXqD+F4iD9J6BLJL62wrzKnPwA22PWTGLP0xbI/fbacMuSawJZSkp+1T5dM3vO+sfrtfdV/SCveFqcEi76oBNgsZZ3jjWdflrjV9aR+qUhUHIwoL7Zkp7E2ec1mK4YOqHiVqL6SAaH4/jFfUQavIkdBQQWhtA5mCBrzFrXeAU+2SfgsvrhRkOs5Pkmzt6qSxVXLJADPhzJIiwyD60R9MtQG3g8i7onrLkaqK6GblRq8jPksKHm/pDTtpnX/XZe+lTRCGwTF8gK+nK3zrMtgEDXN80AfJTNaHK+fxY9fHS4yvfDihnlqR1rg0sAOY6SYuIpK6Rj9TfZbrpvLXlWTYDQSRHhSIOgXOEmAmzPBh59LBaVF+0GJftG5rZPHbQDoYgUDgNcBqVUvcximoqZl0HJ+7noNUtejPzm27AlaQWGWqUCMHliRTcS8Aa7BEjB7aYo3Bis2XRZMxsz5g4onHjMsAG5+glolNjfAQzT62mfCV8LyjAeVTSVmXELjlzVQyrmKiqcqcGnjDGNFuibht7w3enqkLKIahcpUbeWNNkFu1SRqp11bBpIuWzeLgg7jsRR3zyS535P5/UEsHCPBZmtopTAAAt9ECAFBLAwQUAAgICADVMS1VAAAAAAAAAAAAAAAAZwAAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnZmLkJhc2ljQ25mX3YxLjAvSW5mb3JtYXRpb25hbC9PVEhFUi9WU1BfYmFzaWNfY25mX1ZTUF9JbmZvcm1hdGlvbi50eHSNU8tu2zAQPLdfsT8QN2mDHnQpYht2gtauETe+BhS9kheRSJUPperXl1oqkCzFQHkSdoac2dnVzQzCOex3sEQnqLAJfGwrgutbUWICqbAkn6XKngOP0ZTRJVppqHKkFdSojtqA1Zl7FQahMvropWO2jBpobGAmcD275vKxK7cXO5EgER9iAjJhIRzm2jQJGLTaG4lbfH0rznJUaEgyP2P+D5KoLI76aQ+d4Rt9xKJ31bPOaXe5QSxRuS4M5YtiwKXItQ50BisUzofm10b76k055+fuKT/BXR0ciZQKck0ETwzunTYiD5aFEzAX8uXKVxf9M+kRq4Kk4Ogf8bcng8dvCWSisDju5APf2NNfBKdDiPEmAilYz6cN9SJmIJKZoIJKNuMLNfOHfvY8pBFvSgvb40jx94D7ZTYM9LBa2L7/uJOrsGYo5KkFB+H0AYV6N6tzkMZLOyFExkMZZmHHYGxgocvKO/x02MDiJIyQLmxf6EPac3p7bvhGvdg9JVPwc3xu9wS6RnNlfXrJVp/KBkv+DybwbeyM7MsIjKbvmwpNTTYE1y3VJbMxtu+HzQW/S0PBrR3NlpVidmsfpgo/9/8nNHmlV5qT45VN4OvthTh+aV28byV62foyRdOtETwo64SSOLJEf7rFlO0cmsFf9w9QSwcIJvGHf+8BAAAaBQAAUEsDBBQACAgIANUxLVUAAAAAAAAAAAAAAABRAAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L0hFQVQvYmFzZV9kdW1teS55YW1sjZJfa8IwFMXf8yku+LLBOlTGYIE9iHWsIFXWMfZWormtgbYJaSyU4Xdf0lr/TJ1eyEPu/eXkJJwe9F5PahqMJ2E0iaPP0cfn6fhSkR703IKxVLUW6crA3fgehv3BCwSFwcwOtJKaGSGLBozm/rc3FUssSvQCjoURiUBNYaTYcoXe8LHfiV52OQn92z1al2SFzMQGc5Uxg3GFurR+qPP57A363uCJcCyXWijT9N8tDh0ORgJHlcka+DrPa/gK3whRTLMcjVWipO3HhW3EfbsFMLVCCqXRokjdPmMLzCg4AmQCVe6aR1f6jbQDCIGqSGLB/1MSvNEpkhOhuZaV4MhhUcMsHM23ck75Jms3SiZxLvk6wys+rRy0oLV8i3D7lSJnKV71HDhq61xD4F/4VLHDdvpJxiqpr17QYhdkt0OisZRrvcR9EA4zMIsoDWXFKI1Q2+C5idJSoTaiOeKq8QE/kKKJm2DRo0jBpsWah5zl9v/Vsa27s/DB4zvaJplxZpjjd2k5Ptu1YfPQ5fMUsLF048Nw/IEORrDZ/AJQSwcISUD/PpoBAACMBAAAUEsDBBQACAgIANUxLVUAAAAAAAAAAAAAAABkAAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L1ZFTkRPUl9MSUNFTlNFL3ZlbmRvci1saWNlbnNlLW1vZGVsLnhtbG2OwQrCMBBEf0V6T1avEvMrEpNtDSa7SzYW/XtLtaDgaZh5zDBuRkrcTMkRSdFUTlh2j1pIT8O1dzkCrM6yIGHkKpbbBEFThJ8SHOx+8O6zR6GivwTNkcbzO3PwzRxSz71gXdQIc1kuaAfvttEbPs3U+C4bgH9X/QtQSwcILIhQe3kAAADBAAAAUEsDBBQACAgIANUxLVUAAAAAAAAAAAAAAABcAAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L1ZGX0xJQ0VOU0UvdmYtbGljZW5zZS1tb2RlbC54bWxVjs0OgjAQhF/FcC8rBmpjal/FlO4uktCftIX4+BK8yHHmm8mM3lgss6NQSPiItFw+fgnl2bxrTQ+AQ7UxUSAXfWpjnsAWdHAqQddeG6M3ChizCNaTGW2ZXeDXz9Pwz/Q+OqORKEdUHQ2s7r1lVuOguJdO3gYm7Lu9dOQ0k61rJjHluKb9bqlgDng6Yb5QSwcITdSrSo0AAADMAAAAUEsDBBQACAgIANUxLVUAAAAAAAAAAAAAAAB+AAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L0NMT1VEX1RFQ0hOT0xPR1lfU1BFQ0lGSUNfQVJUSUZBQ1QvbmdpbnhfY2xvdWR0ZWNoX2s4c19jaGFydHMudGd6AYAKf/UfiwgAAAAAAAAD7Rtrb9s4sp/1K3hKFml7tfxIXBcC8qGXBHvBtYnR9LIoFouClmibG4lURcqJL5f77TdDSpYsx3HSNikW1RRwJGo4M5zhPPiomHBx1X72qNABGAwG+Lc76Heqfwt41t0d7L3u9Qe9vd6zTrfX7Q+ekf7jimUhU5qmhDzTU87SdL4Wb9P3vygIY39vyqKYT4RM2SPwMPbv99fav997DfbvD6Bxt9cBvO7ebgfs33kEWVbgJ7f/FhlSrVkqFNGS2ClALqdMkFHGo5CLCUlocEEnTHnOFvk45YqoLElkquEBpk1EJpEckZjqYArYr0jKIqr5jEE/Pa20UxECAcEm8FUK8jxJ2ZhfsZBccsD72wuPnIpoTqQwPVEkkrCURFwwz/EOzz6faZANSBzIOAYC5wdnJOSpcrwJ123za8V3vNF/0rb5LRqmkzb+FK9qJtoloRGML0vImEdMOS89dZnA74hewK+O4fl/gHpOUy4zRY4Pj4Bhkso/WaAdj4eMti0eNDneTAUyZG3nR1v1/mD9/2BKU+3NaRw9Bo9N/t/d69f9H/JF4/9PATTh5yxV4JE+mXUdmiSLV7frdVwnZCpIeaJN01vyT0gUJMDpQsYyJf/KRuCoTIPnCBozn5j55MwKGh0PiPyF3OGnA+v/msUJRG2mHqUSfFD9Z/2/299r6r+ngLr9T04/Hp15+kp/Rx4b4n9vsDuoxf/+626vif9PAV2P/Mo00VNGIPZHPLDV2b8/vCOjOUkzIbAEhM+KkQDqJajilO9cX7cIHxPvnEYZFIaAkjKlPCboKIKK7ubGYKRUTBjZnkqlib+/go3tCnEJKbE9rBrz1qnWyfU1Mtqu99UR4ij4ygTy89tteDasDF1ognevpG7RnPpjBMMC+oEUmnKogd0TqN+GUNy6C3EVS2c8YJ6eJ8zSY1dY/pKT08Ojz8PTDx/3t59fQB4MNNTCoMtWC1OhgrKZERTiA4sYVcw7WbTe3JCWJH8qKXC0++61pxIWeKao/r3zhydyIW5cknNXSImLIMpCRlzjtN44iyLk5JpxvqgJdjysiYVE1VcJxyE8GLnAVXSmPBqGaARm2vKXG9cIEEylMRvYYzsXw99eKGqNzt9JGv6DRlQELL1L7wAYnnxyrGFdMSeaXsCsJWN2SWIuMghfpibBuVwlSY6HuLYZAe6M8ginqGepWfgkMxJQQS5xqWJ623ESOa76wM6DbaxmAWldbrTcTmm5s6MP58cHtxjPkLoPz03Mlmy7c12YNKroq3AytC5PbnZWDFtK6aMcNXuZgaz1r4MIAi5Lj4f3cLDh6eHnk7fvj2q6SGR433kcEReimnexqFI9LtvYcX9VT6WOXq32Adk1Kme/zgvQ3bX+EjNNQ6qpoV3xEPecK64LfXZ7A68D/7r+m86bDk7VDLQ2l1laDckudC60gNppwVS/pGlItgs1EewONKpBbmP8r+f/z7Ckh2U3RNjku60FN+V/eKvl/9d7gyb/PwlcX7dfkhmPfcg02uyBoBvux6iWYAoLupdt48vtl87RVQLZ3wRInM8YHvHZLAY9J8drkZCNuah5Vav8RrNIE89uOBgHKsIAYp7CwjHl4JP/JRribkBe75pHHp9l4zG/Im6rJIZTHJ+tdAcpgwkM6aDggXFvTr5kNOJjDkUJ+JKR23N+Y5a6wdfIA8egIEMEFF1PSRCrXNna0QKNCOIOTRmJeAwuHqKnatwPew5ZAjVxeHKGuJgsMJ+/8JzjMW6HYbCwRBZx0K6gTRsEgkseRZifgDnIqTCngfC5tGsUW4b1Qh+Vgqz4uNBngbMW4V4Kx2hevGwb4aGsu7dNK3Iu9GCpLEfUhaxLrQ8WMEm50GPi/qJavyi3Rs3yfcgsW/e8NPsqZkVXybdB0KTGtPk8sVhQiLBorXkNjrt2MFVd2+d82wYGkjKI5ZAA3b+7xP3sPmiUPzocNfDEUM//IUweOY+Z+I7bwRvy/67d/6nmf7MN1OT/J4Dq/i9kSNWedZ0LLkKfHC5mglPUsT7UoHabd9MyAxBNfFO+WWndXoTfRmaJBCF4LumpaduEw9vw8zi56LC+dPdX1gnr+8RU0AkLW6P5cq8zu1TBjpjhcXAYbaFEVxYxz3t544HMhLZcFFAItEytPsyp2LuKgr5BRV8z5sLfc2kq5kWIlgT7JtG+ziCFbhHyUgHmaClQq5yF1UxY4UoIj8GCPnErVjFNaBsJqy+ZznHfaOWzphNc09UpDWF6DyUYdb5kaNsnWXxclsFs6PjVvYaF6Lj2W/pQGSlu/fiwmqt9T1KpZSAjn3w8GFa+RXzGBKzXh6kcsWVuyOVXpv06JVio+qRdbzVsa4JBXRPyR6SuYJkbsJqSsCLR8hPkn4pH5ZhQwwiITxCWSLdXqhu7mIPkRekpQ3aWO12JVm0teVb5Vei/WSafL6lv5UahohJcV+xftNyfyyYeWkYsNXsBqmRTafwqTvX8X2ywfs+z4A35H55X1v/9XqfJ/08BG3byF6s9TO8n+YrvjsyP+NWSgl1pJvARC4sR5Jmiuji2jG4vLUpuP0MlcYurF2agQkhddflKg+/c4ep7KycfNqeuMbc9TsHCwOq5ch6zDhNTmTnB8SshMu9TOdmx0DJjB/m+ZFKztWEVy6QgZfpkkd3L97uOciCRZBHbIPmSUFZ2y8OcF62IZjZnFwMwp1LLAXb1vKocrU2B5QlUCXjZCKSu58x8D/xkjQfcgjpczadLGrldUyv+X4//xWb8U8Z/vOxTj/+dbhP/nwJq939scM6DU7Puu2Pdh9vkS0uB1WOsSvnfyuvfO87L8nqOphOmV5z7ttp/aSGxvL78ar0/VI0/evo28I1g4//MTslHugC68fzPxP/q/f+93b3m/ueTwBY5zM9v7BwwNyhsaCiue3M8kPr09v07PHKO8Wp2aA4KEeGQBREeic1oynHFoPKbFglVeODBBbyak+xFheE5TnV3zCddx7F7NXYzLd+bKW6SYkSc+HgjA6hjTK3swxyPT6QeQnGHe5RO9azJJ67r1M+4fBKIMUigW5a0k0fgMpovLic4xX7Fmw5IZwtIRMuXRT4Z00ixWj1Orm0M3SL1CGoLUNAUUFmMaxURausWDTBOuzrNGO5BVSrsomQ1ma/FrigolHmRDGhUJAlTpJLf/3DySh4fkQ30rRbWSxRagGiRKty2ikL2NmZOuWtjh7xFfsOzy4zigWvK8JoYlpugGZwNmDD5eL44Jyx3csxpsiSQUWbMnqSas88AlBngbXtDOphKzLzFxZ4MjObZeQkmkJjOUsxI5khVBCw/WlV4bYdIARab8VQK3MZWdo0Vca3NVNoqRXlFVBZMkf17LjhaxYPZhTOXhJJcUrE0kkq3TNjR2ht0YxlF8hLsbajj/1wAFBr+CbMKv8fIQDDoqGg6N/8jAmjF0oyekSBLQX+jlBrdwExNyU6p6h0vJxrz0kZBkoEDdTpx/h4DNfSdbu/Ne54P8Qt49X17OEv7Y2hdp7rBZKbWYmMLP//o8NVAAw000EADDTTQQAMNNNBAAw000EADDTTQQAMNNNBADf4PHdBbfQBQAABQSwcIDpXC9YUKAACACgAAUEsDBBQACAgIANUxLVUAAAAAAAAAAAAAAABVAAAAQXJ0aWZhY3RzL1Jlc291cmNlcy9iYXNpY19jbmYwL0RlcGxveW1lbnQvVkZfTU9EVUxFU19NRVRBREFUQS9iYXNpY19jbmYwX21vZHVsZXMuanNvbo2SQW+cMBCF7/kVaM+ZlQEb7B6bXHJob+klitB4bFeWwCAwq26i/vcasoSq4tCDOcw8f294npe7LHtPJ8tOF/etN3Nr09e237Gzpy/Z6StOnh6CO581TrYxc9ddz+duFQI73R9cfQoXHD2G+Pz89LgwRM0rLpwGVxEDrtGBqhQHEsrKuiw55fKQ9MOOk+/DwsgPBZtDQRoLLRUwbgm4FRIkqxE4Q8ZyU0hy6hDwME+x7/wbxuSz0QwpEqVSgKVQwJ0RIAkVVKzMqURXq+pzHD+lhJak4jjbWw3H6B1SnFL5ZS2lYlnVXJHmULiiBi5JAoqqhFwILBHT3AXdoEltnGIlUQ0qZyZFxhVoJjRInec6l1ZrhbtaGWkUSQ1G2AqSjQBNroIaLWMJX1guT6v49TbiMPaDTWPaZcb3jdP50Fxc8/G6jQ9TxECr5DP/NcBN0aK27dLdd2OXdfjrv2DUtH6KS/nIIl6HbQ/tUd/YiUY/xNua7BIffPTYNtTPIf5r2rdzZ5ufYz8PS8th+zcdL+jTr/nWx2vz1ge7Qz5S/H23nNc/UEsHCOtW0gGjAQAAPAMAAFBLAwQUAAgICADVMS1VAAAAAAAAAAAAAAAAUQAAAEFydGlmYWN0cy9SZXNvdXJjZXMvYmFzaWNfY25mMC9EZXBsb3ltZW50L0hFQVRfRU5WL25naW54X2Nsb3VkdGVjaF9rOHNfY2hhcnRzLmVuditILErMTS1JLSq24gIAUEsHCJomnXYOAAAADAAAAFBLAwQUAAgICADVMS1VAAAAAAAAAAAAAAAAQQAAAEFydGlmYWN0cy9SZXNvdXJjZXMvYmFzaWNfY25mMC9EZXBsb3ltZW50L0hFQVRfRU5WL2Jhc2VfZHVtbXkuZW52K0gsSsxNLUktKrbiUlBIKc3NrYxPy0ksyy+KzwNKWCkogcX0UlLTEktzSpTgijJzE9NTUdQg5ECi8QYw8XjDeAOQXFlafG5+SmlOanxmClAuIMg/zNPF1SXeKTLe388xAKwkLw2/JNQ+TGkAUEsHCFtKezxsAAAAyAAAAFBLAwQUAAgICADVMS1VAAAAAAAAAAAAAAAAawAAAEFydGlmYWN0cy9SZXNvdXJjZXMvYmFzaWNfY25mMC9EZXBsb3ltZW50L0NMT1VEX1RFQ0hOT0xPR1lfU1BFQ0lGSUNfQVJUSUZBQ1QvbmdpbnhfY2xvdWR0ZWNoX2s4c19jaGFydHMudGd6AYAKf/UfiwgAAAAAAAAD7Rtrb9s4sp/1K3hKFml7tfxIXBcC8qGXBHvBtYnR9LIoFouClmibG4lURcqJL5f77TdDSpYsx3HSNikW1RRwJGo4M5zhPPiomHBx1X72qNABGAwG+Lc76Heqfwt41t0d7L3u9Qe9vd6zTrfX7Q+ekf7jimUhU5qmhDzTU87SdL4Wb9P3vygIY39vyqKYT4RM2SPwMPbv99fav997DfbvD6Bxt9cBvO7ebgfs33kEWVbgJ7f/FhlSrVkqFNGS2ClALqdMkFHGo5CLCUlocEEnTHnOFvk45YqoLElkquEBpk1EJpEckZjqYArYr0jKIqr5jEE/Pa20UxECAcEm8FUK8jxJ2ZhfsZBccsD72wuPnIpoTqQwPVEkkrCURFwwz/EOzz6faZANSBzIOAYC5wdnJOSpcrwJ123za8V3vNF/0rb5LRqmkzb+FK9qJtoloRGML0vImEdMOS89dZnA74hewK+O4fl/gHpOUy4zRY4Pj4Bhkso/WaAdj4eMti0eNDneTAUyZG3nR1v1/mD9/2BKU+3NaRw9Bo9N/t/d69f9H/JF4/9PATTh5yxV4JE+mXUdmiSLV7frdVwnZCpIeaJN01vyT0gUJMDpQsYyJf/KRuCoTIPnCBozn5j55MwKGh0PiPyF3OGnA+v/msUJRG2mHqUSfFD9Z/2/299r6r+ngLr9T04/Hp15+kp/Rx4b4n9vsDuoxf/+626vif9PAV2P/Mo00VNGIPZHPLDV2b8/vCOjOUkzIbAEhM+KkQDqJajilO9cX7cIHxPvnEYZFIaAkjKlPCboKIKK7ubGYKRUTBjZnkqlib+/go3tCnEJKbE9rBrz1qnWyfU1Mtqu99UR4ij4ygTy89tteDasDF1ognevpG7RnPpjBMMC+oEUmnKogd0TqN+GUNy6C3EVS2c8YJ6eJ8zSY1dY/pKT08Ojz8PTDx/3t59fQB4MNNTCoMtWC1OhgrKZERTiA4sYVcw7WbTe3JCWJH8qKXC0++61pxIWeKao/r3zhydyIW5cknNXSImLIMpCRlzjtN44iyLk5JpxvqgJdjysiYVE1VcJxyE8GLnAVXSmPBqGaARm2vKXG9cIEEylMRvYYzsXw99eKGqNzt9JGv6DRlQELL1L7wAYnnxyrGFdMSeaXsCsJWN2SWIuMghfpibBuVwlSY6HuLYZAe6M8ginqGepWfgkMxJQQS5xqWJ623ESOa76wM6DbaxmAWldbrTcTmm5s6MP58cHtxjPkLoPz03Mlmy7c12YNKroq3AytC5PbnZWDFtK6aMcNXuZgaz1r4MIAi5Lj4f3cLDh6eHnk7fvj2q6SGR433kcEReimnexqFI9LtvYcX9VT6WOXq32Adk1Kme/zgvQ3bX+EjNNQ6qpoV3xEPecK64LfXZ7A68D/7r+m86bDk7VDLQ2l1laDckudC60gNppwVS/pGlItgs1EewONKpBbmP8r+f/z7Ckh2U3RNjku60FN+V/eKvl/9d7gyb/PwlcX7dfkhmPfcg02uyBoBvux6iWYAoLupdt48vtl87RVQLZ3wRInM8YHvHZLAY9J8drkZCNuah5Vav8RrNIE89uOBgHKsIAYp7CwjHl4JP/JRribkBe75pHHp9l4zG/Im6rJIZTHJ+tdAcpgwkM6aDggXFvTr5kNOJjDkUJ+JKR23N+Y5a6wdfIA8egIEMEFF1PSRCrXNna0QKNCOIOTRmJeAwuHqKnatwPew5ZAjVxeHKGuJgsMJ+/8JzjMW6HYbCwRBZx0K6gTRsEgkseRZifgDnIqTCngfC5tGsUW4b1Qh+Vgqz4uNBngbMW4V4Kx2hevGwb4aGsu7dNK3Iu9GCpLEfUhaxLrQ8WMEm50GPi/qJavyi3Rs3yfcgsW/e8NPsqZkVXybdB0KTGtPk8sVhQiLBorXkNjrt2MFVd2+d82wYGkjKI5ZAA3b+7xP3sPmiUPzocNfDEUM//IUweOY+Z+I7bwRvy/67d/6nmf7MN1OT/J4Dq/i9kSNWedZ0LLkKfHC5mglPUsT7UoHabd9MyAxBNfFO+WWndXoTfRmaJBCF4LumpaduEw9vw8zi56LC+dPdX1gnr+8RU0AkLW6P5cq8zu1TBjpjhcXAYbaFEVxYxz3t544HMhLZcFFAItEytPsyp2LuKgr5BRV8z5sLfc2kq5kWIlgT7JtG+ziCFbhHyUgHmaClQq5yF1UxY4UoIj8GCPnErVjFNaBsJqy+ZznHfaOWzphNc09UpDWF6DyUYdb5kaNsnWXxclsFs6PjVvYaF6Lj2W/pQGSlu/fiwmqt9T1KpZSAjn3w8GFa+RXzGBKzXh6kcsWVuyOVXpv06JVio+qRdbzVsa4JBXRPyR6SuYJkbsJqSsCLR8hPkn4pH5ZhQwwiITxCWSLdXqhu7mIPkRekpQ3aWO12JVm0teVb5Vei/WSafL6lv5UahohJcV+xftNyfyyYeWkYsNXsBqmRTafwqTvX8X2ywfs+z4A35H55X1v/9XqfJ/08BG3byF6s9TO8n+YrvjsyP+NWSgl1pJvARC4sR5Jmiuji2jG4vLUpuP0MlcYurF2agQkhddflKg+/c4ep7KycfNqeuMbc9TsHCwOq5ch6zDhNTmTnB8SshMu9TOdmx0DJjB/m+ZFKztWEVy6QgZfpkkd3L97uOciCRZBHbIPmSUFZ2y8OcF62IZjZnFwMwp1LLAXb1vKocrU2B5QlUCXjZCKSu58x8D/xkjQfcgjpczadLGrldUyv+X4//xWb8U8Z/vOxTj/+dbhP/nwJq939scM6DU7Puu2Pdh9vkS0uB1WOsSvnfyuvfO87L8nqOphOmV5z7ttp/aSGxvL78ar0/VI0/evo28I1g4//MTslHugC68fzPxP/q/f+93b3m/ueTwBY5zM9v7BwwNyhsaCiue3M8kPr09v07PHKO8Wp2aA4KEeGQBREeic1oynHFoPKbFglVeODBBbyak+xFheE5TnV3zCddx7F7NXYzLd+bKW6SYkSc+HgjA6hjTK3swxyPT6QeQnGHe5RO9azJJ67r1M+4fBKIMUigW5a0k0fgMpovLic4xX7Fmw5IZwtIRMuXRT4Z00ixWj1Orm0M3SL1CGoLUNAUUFmMaxURausWDTBOuzrNGO5BVSrsomQ1ma/FrigolHmRDGhUJAlTpJLf/3DySh4fkQ30rRbWSxRagGiRKty2ikL2NmZOuWtjh7xFfsOzy4zigWvK8JoYlpugGZwNmDD5eL44Jyx3csxpsiSQUWbMnqSas88AlBngbXtDOphKzLzFxZ4MjObZeQkmkJjOUsxI5khVBCw/WlV4bYdIARab8VQK3MZWdo0Vca3NVNoqRXlFVBZMkf17LjhaxYPZhTOXhJJcUrE0kkq3TNjR2ht0YxlF8hLsbajj/1wAFBr+CbMKv8fIQDDoqGg6N/8jAmjF0oyekSBLQX+jlBrdwExNyU6p6h0vJxrz0kZBkoEDdTpx/h4DNfSdbu/Ne54P8Qt49X17OEv7Y2hdp7rBZKbWYmMLP//o8NVAAw000EADDTTQQAMNNNBAAw000EADDTTQQAMNNNBADf4PHdBbfQBQAABQSwcIDpXC9YUKAACACgAAUEsBAhQAFAAICAgA1DEtVc9S/UI0AAAARQAAAAkAAAAAAAAAAAAAAAAAAAAAAGNzYXIubWV0YVBLAQIUABQACAgIANQxLVXEy40giQAAALEAAAAZAAAAAAAAAAAAAAAAAGsAAABUT1NDQS1NZXRhZGF0YS9UT1NDQS5tZXRhUEsBAhQAFAAICAgA1DEtVQ1aJ3yZBAAANw0AACkAAAAAAAAAAAAAAAAAOwEAAERlZmluaXRpb25zL3NlcnZpY2UtQmFzaWNDbmYtdGVtcGxhdGUueW1sUEsBAhQAFAAICAgA1DEtVcICoBjnAAAALwEAAAUAAAAAAAAAAAAAAAAAKwYAAE5TLm1mUEsBAhQAFAAICAgA1DEtVRLDzSFCAQAAYQMAADMAAAAAAAAAAAAAAAAARQcAAERlZmluaXRpb25zL3NlcnZpY2UtQmFzaWNDbmYtdGVtcGxhdGUtaW50ZXJmYWNlLnltbFBLAQIUABQACAgIANQxLVWOEccRoQEAAFgDAAA/AAAAAAAAAAAAAAAAAOgIAABEZWZpbml0aW9ucy9yZXNvdXJjZS1CYXNpY2NuZkNvbXB1dGVOb2Rlc0hlYXREdW1teS10ZW1wbGF0ZS55bWxQSwECFAAUAAgICADUMS1V++gv6EsIAADUJgAAKgAAAAAAAAAAAAAAAAD2CgAARGVmaW5pdGlvbnMvcmVzb3VyY2UtQmFzaWNDbmYtdGVtcGxhdGUueW1sUEsBAhQAFAAICAgA1DEtVfGVGn3zBAAA3VkAADQAAAAAAAAAAAAAAAAAmRMAAERlZmluaXRpb25zL3Jlc291cmNlLUJhc2ljQ25mLXRlbXBsYXRlLWludGVyZmFjZS55bWxQSwECFAAUAAgICADUMS1VdK3kk/UGAADpHwAAOAAAAAAAAAAAAAAAAADuGAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtQmFzaWNDbmZOb2Rlc0R1bW15Y3ZmYy10ZW1wbGF0ZS55bWxQSwECFAAUAAgICADUMS1V3FZqCuEEAAB8VwAAQgAAAAAAAAAAAAAAAABJIAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtQmFzaWNDbmZOb2Rlc0R1bW15Y3ZmYy10ZW1wbGF0ZS1pbnRlcmZhY2UueW1sUEsBAhQAFAAICAgA1DEtVVTOYtgoSwAAh/4BABQAAAAAAAAAAAAAAAAAmiUAAERlZmluaXRpb25zL2RhdGEueW1sUEsBAhQAFAAICAgA1DEtVYkFXP9KBwAA+BkAABYAAAAAAAAAAAAAAAAABHEAAERlZmluaXRpb25zL2dyb3Vwcy55bWxQSwECFAAUAAgICADUMS1VDJXD15cQAABEaQAAGAAAAAAAAAAAAAAAAACSeAAARGVmaW5pdGlvbnMvcG9saWNpZXMueW1sUEsBAhQAFAAICAgA1DEtVYatnEMmAgAAAQQAABsAAAAAAAAAAAAAAAAAb4kAAERlZmluaXRpb25zL2Fubm90YXRpb25zLnltbFBLAQIUABQACAgIANQxLVX40mcGFwcAAMQcAAAdAAAAAAAAAAAAAAAAAN6LAABEZWZpbml0aW9ucy9yZWxhdGlvbnNoaXBzLnltbFBLAQIUABQACAgIANQxLVVDfFTYdAYAALkSAAAZAAAAAAAAAAAAAAAAAECTAABEZWZpbml0aW9ucy9hcnRpZmFjdHMueW1sUEsBAhQAFAAICAgA1DEtVbWTfrSbCAAALykAABwAAAAAAAAAAAAAAAAA+5kAAERlZmluaXRpb25zL2NhcGFiaWxpdGllcy55bWxQSwECFAAUAAgICADUMS1VNDFINLcEAADPGQAAGgAAAAAAAAAAAAAAAADgogAARGVmaW5pdGlvbnMvaW50ZXJmYWNlcy55bWxQSwECFAAUAAgICADUMS1V8Fma2ilMAAC30QIAFQAAAAAAAAAAAAAAAADfpwAARGVmaW5pdGlvbnMvbm9kZXMueW1sUEsBAhQAFAAICAgA1TEtVSbxh3/vAQAAGgUAAGcAAAAAAAAAAAAAAAAAS/QAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnZmLkJhc2ljQ25mX3YxLjAvSW5mb3JtYXRpb25hbC9PVEhFUi9WU1BfYmFzaWNfY25mX1ZTUF9JbmZvcm1hdGlvbi50eHRQSwECFAAUAAgICADVMS1VSUD/PpoBAACMBAAAUQAAAAAAAAAAAAAAAADP9gAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L0hFQVQvYmFzZV9kdW1teS55YW1sUEsBAhQAFAAICAgA1TEtVSyIUHt5AAAAwQAAAGQAAAAAAAAAAAAAAAAA6PgAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnZmLkJhc2ljQ25mX3YxLjAvRGVwbG95bWVudC9WRU5ET1JfTElDRU5TRS92ZW5kb3ItbGljZW5zZS1tb2RlbC54bWxQSwECFAAUAAgICADVMS1VTdSrSo0AAADMAAAAXAAAAAAAAAAAAAAAAADz+QAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L1ZGX0xJQ0VOU0UvdmYtbGljZW5zZS1tb2RlbC54bWxQSwECFAAUAAgICADVMS1VDpXC9YUKAACACgAAfgAAAAAAAAAAAAAAAAAK+wAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UudmYuQmFzaWNDbmZfdjEuMC9EZXBsb3ltZW50L0NMT1VEX1RFQ0hOT0xPR1lfU1BFQ0lGSUNfQVJUSUZBQ1QvbmdpbnhfY2xvdWR0ZWNoX2s4c19jaGFydHMudGd6UEsBAhQAFAAICAgA1TEtVetW0gGjAQAAPAMAAFUAAAAAAAAAAAAAAAAAOwYBAEFydGlmYWN0cy9SZXNvdXJjZXMvYmFzaWNfY25mMC9EZXBsb3ltZW50L1ZGX01PRFVMRVNfTUVUQURBVEEvYmFzaWNfY25mMF9tb2R1bGVzLmpzb25QSwECFAAUAAgICADVMS1Vmiaddg4AAAAMAAAAUQAAAAAAAAAAAAAAAABhCAEAQXJ0aWZhY3RzL1Jlc291cmNlcy9iYXNpY19jbmYwL0RlcGxveW1lbnQvSEVBVF9FTlYvbmdpbnhfY2xvdWR0ZWNoX2s4c19jaGFydHMuZW52UEsBAhQAFAAICAgA1TEtVVtKezxsAAAAyAAAAEEAAAAAAAAAAAAAAAAA7ggBAEFydGlmYWN0cy9SZXNvdXJjZXMvYmFzaWNfY25mMC9EZXBsb3ltZW50L0hFQVRfRU5WL2Jhc2VfZHVtbXkuZW52UEsBAhQAFAAICAgA1TEtVQ6VwvWFCgAAgAoAAGsAAAAAAAAAAAAAAAAAyQkBAEFydGlmYWN0cy9SZXNvdXJjZXMvYmFzaWNfY25mMC9EZXBsb3ltZW50L0NMT1VEX1RFQ0hOT0xPR1lfU1BFQ0lGSUNfQVJUSUZBQ1QvbmdpbnhfY2xvdWR0ZWNoX2s4c19jaGFydHMudGd6UEsFBgAAAAAcABwAyAoAAOcUAQAAAA=="}
2022-09-13T06:15:04.908Z|[d8a63ce3-8002-4ea4-af31-202dc77f7393]|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: RequestHeaders [requestId=null, instanceId=null, transactionId=[d8a63ce3-8002-4ea4-af31-202dc77f7393]]
2022-09-13T06:15:04.910Z|[d8a63ce3-8002-4ea4-af31-202dc77f7393]|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned e44c8e9b-69cf-47d1-96b8-ba63bc5504b6
2022-09-13T06:15:04.916Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: Starting to process csarArchive to convert contents to XML artifacts
2022-09-13T06:15:04.916Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicCnf-csar.csar
2022-09-13T06:15:04.919Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicCnf-template.yml
2022-09-13T06:15:04.919Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicCnf-template-interface.yml
2022-09-13T06:15:04.919Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiccnfComputeNodesHeatDummy-template.yml
2022-09-13T06:15:04.920Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnf-template.yml
2022-09-13T06:15:04.921Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnf-template-interface.yml
2022-09-13T06:15:04.921Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnfNodesDummycvfc-template.yml
2022-09-13T06:15:04.922Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicCnfNodesDummycvfc-template-interface.yml
2022-09-13T06:15:04.923Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/data.yml
2022-09-13T06:15:04.925Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/groups.yml
2022-09-13T06:15:04.926Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/policies.yml
2022-09-13T06:15:04.927Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/annotations.yml
2022-09-13T06:15:04.927Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/relationships.yml
2022-09-13T06:15:04.927Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/artifacts.yml
2022-09-13T06:15:04.928Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/capabilities.yml
2022-09-13T06:15:04.929Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/interfaces.yml
2022-09-13T06:15:04.930Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/nodes.yml
2022-09-13T06:15:04.932Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Artifacts/org.openecomp.resource.vf.BasicCnf_v1.0/Deployment/HEAT/base_dummy.yaml
2022-09-13T06:15:04.932Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 17 CSAR artifacts.
2022-09-13 06:15:04.938  INFO 10 --- [tp1056185446-31] org.reflections.Reflections              : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:15:04.938Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values 
Log warning: The required parameter "compute_dummy_metadata" is not provided
Log warning: The required parameter "compute_dummy_name" is not provided
2022-09-13 06:15:06.909  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13 06:15:06.909  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13T06:15:06.909Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:15:06.909Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13 06:15:06.910  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-09-13 06:15:06.910  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13T06:15:06.910Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-09-13T06:15:06.910Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13 06:15:06.910  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13T06:15:06.910Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13 06:15:06.911  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13 06:15:06.911  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13T06:15:06.911Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13 06:15:06.914  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:15:06.911Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp14328074818403701742.csar
2022-09-13T06:15:06.914Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:15:06.934Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-09-13T06:15:06.952Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-09-13T06:15:06.968Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.CsarToXmlConverter#generateXmlFromCsar|BABEL0001I Distribution event: 3 XML artifact(s) have been generated
2022-09-13T06:15:06.969Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-09-13 06:15:06.979  INFO 10 --- [tp1056185446-31] org.reflections.Reflections              : Reflections took 4 ms to scan 1 urls, producing 4 keys and 4 values 
2022-09-13T06:15:06.979Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 4 ms to scan 1 urls, producing 4 keys and 4 values 
Log warning: The required parameter "compute_dummy_metadata" is not provided
Log warning: The required parameter "compute_dummy_name" is not provided
2022-09-13 06:15:08.986  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:15:08.986Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13 06:15:08.986  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : CSAR Warnings found! CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13T06:15:08.986Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13 06:15:08.987  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-09-13T06:15:08.987Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 4 Parsing Warnings occurred...
2022-09-13 06:15:08.987  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13T06:15:08.987Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [nfc_function]. CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13 06:15:08.987  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13 06:15:08.988  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13T06:15:08.987Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_cnf 0" are missing field(s): [nf_function, nf_role, nf_naming_code, nf_type, min_instances, max_instances, sdnc_model_name, sdnc_model_version, sdnc_artifact_name]. CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13 06:15:08.988  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13T06:15:08.988Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "abstract_dummy" are missing field(s): [unit, type]. CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13T06:15:08.988Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.Naming" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp10615819431684292984.csar
2022-09-13 06:15:08.988  WARN 10 --- [tp1056185446-31] o.o.s.t.p.impl.SdcToscaParserFactory     : ####################################################################################################
2022-09-13T06:15:08.988Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-09-13T06:15:08.989Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-09-13T06:15:08.991Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0001I Distribution event: org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts
2022-09-13T06:15:08.992Z|e44c8e9b-69cf-47d1-96b8-ba63bc5504b6|qtp1056185446-31|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_cnf-service-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>42310eae-6e40-45cc-87e9-80d55160e6cc</model-invariant-id>\n    <model-type>service</model-type>\n    <model-role>Network Service</model-role>\n    <model-vers>\n        <model-ver>\n            <model-version-id>de232d97-5f4b-4ed4-ac6e-a3dbe389f219</model-version-id>\n            <model-name>basic_cnf</model-name>\n            <model-version>1.0</model-version>\n            <model-description>service</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>2a0eb52d-b2e1-41ee-88df-f3e56e3b13c7</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>1ca8d240-3d2d-456c-9c40-656ef2b12327</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>46b92144-923a-4d20-b85a-3cbd847668a9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>82194af1-3c2c-485a-8f44-420e22a9eaa4</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-BasicCnf..base_dummy..module-0-resource-1.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>574645fb-f6c0-4baf-9694-c59e87334c18</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>2cba2b89-04ec-4e58-807a-40a001d28cf9</model-version-id>\n            <model-name>BasicCnf..base_dummy..module-0</model-name>\n            <model-version>1</model-version>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements>\n                                <model-element>\n                                    <new-data-del-flag>F</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>f6a038c2-820c-42ba-8c2b-375e24e8f932</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>3f4c7204-739b-4bbb-87a7-8a6856439c90</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                                <model-element>\n                                    <new-data-del-flag>F</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>abcc54bc-bb74-49dc-9043-7f7171707545</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>97c26c99-6870-44c1-8a07-1d900d3f4ce6</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                                <model-element>\n                                    <new-data-del-flag>F</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>36200fb5-f251-4f5d-a520-7c5ad5c2cd4b</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>bace8d1c-a261-4041-9e37-823117415d0f</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                                <model-element>\n                                    <new-data-del-flag>T</new-data-del-flag>\n                                    <cardinality>unbounded</cardinality>\n                                    <model-elements/>\n                                    <relationship-list>\n                                        <relationship>\n                                            <related-to>model-ver</related-to>\n                                            <relationship-data>\n                                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                                <relationship-value>5761e0a7-c6df-4d8a-9ebd-b8f445054dec</relationship-value>\n                                            </relationship-data>\n                                            <relationship-data>\n                                                <relationship-key>model.model-invariant-id</relationship-key>\n                                                <relationship-value>96129eb9-f0de-4e05-8af2-73146473f766</relationship-value>\n                                            </relationship-data>\n                                        </relationship>\n                                    </relationship-list>\n                                </model-element>\n                            </model-elements>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>8ecb2c5d-7176-4317-a255-26274edfdd53</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>ff69d4e0-a8e8-4108-bdb0-dd63217e63c7</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>c00563ae-812b-4e62-8330-7c4d0f47088a</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>ef86f9c5-2165-44f3-8fc3-96018b609ea5</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"},{"name":"AAI-basic_cnf-resource-1.0.xml","type":"MODEL","payload":"<model xmlns=\"http://org.onap.aai.inventory/v27\">\n    <model-invariant-id>1ca8d240-3d2d-456c-9c40-656ef2b12327</model-invariant-id>\n    <model-type>resource</model-type>\n    <model-vers>\n        <model-ver>\n            <model-version-id>2a0eb52d-b2e1-41ee-88df-f3e56e3b13c7</model-version-id>\n            <model-name>basic_cnf</model-name>\n            <model-version>1.0</model-version>\n            <model-description>VF</model-description>\n            <model-elements>\n                <model-element>\n                    <new-data-del-flag>T</new-data-del-flag>\n                    <cardinality>unbounded</cardinality>\n                    <model-elements>\n                        <model-element>\n                            <new-data-del-flag>T</new-data-del-flag>\n                            <cardinality>unbounded</cardinality>\n                            <model-elements/>\n                            <relationship-list>\n                                <relationship>\n                                    <related-to>model-ver</related-to>\n                                    <relationship-data>\n                                        <relationship-key>model-ver.model-version-id</relationship-key>\n                                        <relationship-value>2cba2b89-04ec-4e58-807a-40a001d28cf9</relationship-value>\n                                    </relationship-data>\n                                    <relationship-data>\n                                        <relationship-key>model.model-invariant-id</relationship-key>\n                                        <relationship-value>574645fb-f6c0-4baf-9694-c59e87334c18</relationship-value>\n                                    </relationship-data>\n                                </relationship>\n                            </relationship-list>\n                        </model-element>\n                    </model-elements>\n                    <relationship-list>\n                        <relationship>\n                            <related-to>model-ver</related-to>\n                            <relationship-data>\n                                <relationship-key>model-ver.model-version-id</relationship-key>\n                                <relationship-value>93a6166f-b3d5-4f06-b4ba-aed48d009ad9</relationship-value>\n                            </relationship-data>\n                            <relationship-data>\n                                <relationship-key>model.model-invariant-id</relationship-key>\n                                <relationship-value>acc6edd8-a8d4-4b93-afaa-0994068be14c</relationship-value>\n                            </relationship-data>\n                        </relationship>\n                    </relationship-list>\n                </model-element>\n            </model-elements>\n        </model-ver>\n    </model-vers>\n</model>"}]
2022-09-13T06:15:28.440Z|[0bec1fe7-2b67-43ff-9e88-b0f5d86c980e]|qtp1056185446-27|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0008I Babel request payload: Received request: {X-FromAppId=[[ModelLoader]], Accept=[text/html, image/gif, image/jpeg, *; q=.2, */*; q=.2], User-Agent=[Java/11.0.9], Connection=[keep-alive], Host=[aai-babel.onap:9516], X-TransactionId=[[0bec1fe7-2b67-43ff-9e88-b0f5d86c980e]], Content-Length=[99734], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicVm-csar.csar","csar":"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