By type
*** retrieve Truststore and Keystore password
*** actual launch of AAI Babel
16:21:24,549 |-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
16:21:24,887 |-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]
16:21:24,887 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
16:21:24,895 |-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.
16:21:24,896 |-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
16:21:24,901 |-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.
16:21:24,901 |-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
16:21:24,905 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
16:21:24,905 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
16:21:24,906 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
16:21:24,919 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
16:21:24,919 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
16:21:24,919 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
16:21:24,920 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
16:21:24,920 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
16:21:24,920 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
16:21:24,920 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
16:21:24,921 |-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.
16:21:24,922 |-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
16:21:24,926 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
16:21:24,934 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
16:21:24,943 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:25,042 |-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.
16:21:25,042 |-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
16:21:25,045 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:25,050 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
16:21:25,052 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:25,081 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Archive files will be limited to [10 MB] each.
16:21:25,088 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1226204845 - Will use gz compression
16:21:25,090 |-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
16:21:25,093 |-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'.
16:21:25,094 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Roll-over at midnight.
16:21:25,103 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@29ba4338 - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:25,110 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
16:21:25,110 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
16:21:25,112 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
16:21:25,112 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
16:21:25,113 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
16:21:25,114 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:25,114 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
16:21:25,115 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1979313356 - Will use zip compression
16:21:25,116 |-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
16:21:25,118 |-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'.
16:21:25,118 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:25,119 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:25,119 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:25,121 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
16:21:25,121 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
16:21:25,122 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:25,124 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
16:21:25,127 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
16:21:25,127 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
16:21:25,128 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
16:21:25,128 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:25,128 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
16:21:25,130 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1975546571 - Will use zip compression
16:21:25,130 |-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
16:21:25,131 |-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'.
16:21:25,131 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:25,132 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:25,132 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:25,136 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
16:21:25,137 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
16:21:25,137 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:25,137 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
16:21:25,137 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
16:21:25,137 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
16:21:25,138 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
16:21:25,138 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:25,138 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
16:21:25,139 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1526298704 - Will use zip compression
16:21:25,140 |-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
16:21:25,141 |-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'.
16:21:25,141 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:25,141 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:25,142 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:25,143 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
16:21:25,143 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
16:21:25,143 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:25,143 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
16:21:25,144 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
16:21:25,144 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
16:21:25,144 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
16:21:25,144 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:25,144 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
16:21:25,145 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1593180232 - Will use zip compression
16:21:25,145 |-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
16:21:25,146 |-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'.
16:21:25,147 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:25,147 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:25,147 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:25,148 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
16:21:25,148 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
16:21:25,149 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:25,149 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
16:21:25,153 |-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
16:21:26,224 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
16:21:26,224 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
16:21:26,224 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
16:21:26,225 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
16:21:26,225 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
16:21:26,225 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
16:21:26,225 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
16:21:26,226 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
16:21:26,226 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
16:21:26,226 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
16:21:26,226 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
16:21:26,226 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
16:21:26,226 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
16:21:26,226 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
16:21:26,227 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
16:21:26,227 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
16:21:26,227 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
16:21:26,227 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
16:21:26,227 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
16:21:26,227 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
16:21:26,227 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
16:21:26,228 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
16:21:26,228 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
16:21:26,228 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
16:21:26,228 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
16:21:26,228 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
16:21:26,228 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
16:21:26,229 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
16:21:26,231 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@6bbe85a8 - Registering current configuration as safe fallback point
16:21:27,018 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
16:21:27,029 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
16:21:27,033 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
16:21:27,034 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
16:21:27,034 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
16:21:27,035 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
16:21:27,035 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
16:21:27,036 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
16:21:27,018 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Worker thread will flush remaining events before exiting.
16:21:27,029 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Queue flush finished successfully within timeout.
16:21:27,033 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Worker thread will flush remaining events before exiting.
16:21:27,034 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Queue flush finished successfully within timeout.
16:21:27,034 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Worker thread will flush remaining events before exiting.
16:21:27,035 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Queue flush finished successfully within timeout.
16:21:27,035 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Worker thread will flush remaining events before exiting.
16:21:27,036 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Queue flush finished successfully within timeout.
16:21:27,098 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Will scan for changes in [file:/opt/app/babel/config/logback.xml]
16:21:27,098 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - Setting ReconfigureOnChangeTask scanning period to 30 seconds
16:21:27,102 |-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.
16:21:27,102 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1fd14d74 - 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
16:21:27,118 |-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.
16:21:27,118 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1fd14d74 - 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
16:21:27,121 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word clr with class [org.springframework.boot.logging.logback.ColorConverter]
16:21:27,121 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wex with class [org.springframework.boot.logging.logback.WhitespaceThrowableProxyConverter]
16:21:27,122 |-INFO in ch.qos.logback.core.joran.action.ConversionRuleAction - registering conversion word wEx with class [org.springframework.boot.logging.logback.ExtendedWhitespaceThrowableProxyConverter]
16:21:27,122 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.startup.DigesterFactory] to ERROR
16:21:27,122 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating ERROR level on Logger[org.apache.catalina.startup.DigesterFactory] onto the JUL framework
16:21:27,123 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.catalina.util.LifecycleBase] to ERROR
16:21:27,123 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating ERROR level on Logger[org.apache.catalina.util.LifecycleBase] onto the JUL framework
16:21:27,124 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.coyote.http11.Http11NioProtocol] to WARN
16:21:27,124 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.coyote.http11.Http11NioProtocol] onto the JUL framework
16:21:27,124 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.sshd.common.util.SecurityUtils] to WARN
16:21:27,124 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.sshd.common.util.SecurityUtils] onto the JUL framework
16:21:27,124 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.tomcat.util.net.NioSelectorPool] to WARN
16:21:27,124 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.tomcat.util.net.NioSelectorPool] onto the JUL framework
16:21:27,124 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.eclipse.jetty.util.component.AbstractLifeCycle] to ERROR
16:21:27,125 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating ERROR level on Logger[org.eclipse.jetty.util.component.AbstractLifeCycle] onto the JUL framework
16:21:27,125 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.hibernate.validator.internal.util.Version] to WARN
16:21:27,125 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.hibernate.validator.internal.util.Version] onto the JUL framework
16:21:27,125 |-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.
16:21:27,126 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1fd14d74 - 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
16:21:27,128 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
16:21:27,128 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [CONSOLE]
16:21:27,128 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,130 |-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.
16:21:27,130 |-INFO in ch.qos.logback.core.joran.spi.ConfigurationWatchList@1fd14d74 - 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
16:21:27,132 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:27,132 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [FILE]
16:21:27,133 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,134 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1828873985 - Archive files will be limited to [10 MB] each.
16:21:27,135 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1828873985 - Will use gz compression
16:21:27,135 |-INFO in c.q.l.core.rolling.SizeAndTimeBasedRollingPolicy@1828873985 - Will use the pattern /tmp/spring.log.%d{yyyy-MM-dd}.%i for the active file
16:21:27,136 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@35399441 - The date pattern is 'yyyy-MM-dd' from file name pattern '/tmp/spring.log.%d{yyyy-MM-dd}.%i.gz'.
16:21:27,136 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@35399441 - Roll-over at midnight.
16:21:27,137 |-INFO in ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP@35399441 - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:27,137 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - Active log file name: /tmp/spring.log
16:21:27,137 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[FILE] - File property is set to [/tmp/spring.log]
16:21:27,138 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
16:21:27,146 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating INFO level on Logger[ROOT] onto the JUL framework
16:21:27,146 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [CONSOLE] to Logger[ROOT]
16:21:27,146 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [FILE] to Logger[ROOT]
16:21:27,147 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:27,147 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELF]
16:21:27,148 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1661210650 - Will use zip compression
16:21:27,148 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1661210650 - Will use the pattern /var/log/onap/AAI-BAS/error.%d{yyyy-MM-dd}.log for the active file
16:21:27,149 |-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'.
16:21:27,149 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:27,150 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:27,150 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,151 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - Active log file name: /var/log/onap/AAI-BAS/error.log
16:21:27,151 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELF] - File property is set to [/var/log/onap/AAI-BAS/error.log]
16:21:27,151 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:27,151 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELF]
16:21:27,152 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELF] to ch.qos.logback.classic.AsyncAppender[asyncEELF]
16:21:27,152 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Attaching appender named [EELF] to AsyncAppender.
16:21:27,152 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELF] - Setting discardingThreshold to 51
16:21:27,153 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:27,153 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFAudit]
16:21:27,154 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1366342900 - Will use zip compression
16:21:27,155 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@1366342900 - Will use the pattern /var/log/onap/AAI-BAS/audit.%d{yyyy-MM-dd}.log for the active file
16:21:27,155 |-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'.
16:21:27,155 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:27,156 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:27,156 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,175 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - Active log file name: /var/log/onap/AAI-BAS/audit.log
16:21:27,176 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFAudit] - File property is set to [/var/log/onap/AAI-BAS/audit.log]
16:21:27,176 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:27,176 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFAudit]
16:21:27,177 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFAudit] to ch.qos.logback.classic.AsyncAppender[asyncEELFAudit]
16:21:27,177 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Attaching appender named [EELFAudit] to AsyncAppender.
16:21:27,177 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFAudit] - Setting discardingThreshold to 51
16:21:27,177 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:27,177 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFMetrics]
16:21:27,179 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@672313607 - Will use zip compression
16:21:27,179 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@672313607 - Will use the pattern /var/log/onap/AAI-BAS/metrics.%d{yyyy-MM-dd}.log for the active file
16:21:27,181 |-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'.
16:21:27,181 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:27,181 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:27,182 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,183 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - Active log file name: /var/log/onap/AAI-BAS/metrics.log
16:21:27,183 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFMetrics] - File property is set to [/var/log/onap/AAI-BAS/metrics.log]
16:21:27,183 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:27,183 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFMetrics]
16:21:27,183 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFMetrics] to ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics]
16:21:27,183 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Attaching appender named [EELFMetrics] to AsyncAppender.
16:21:27,184 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFMetrics] - Setting discardingThreshold to 51
16:21:27,184 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.rolling.RollingFileAppender]
16:21:27,184 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [EELFDebug]
16:21:27,185 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@234250762 - Will use zip compression
16:21:27,185 |-INFO in c.q.l.core.rolling.TimeBasedRollingPolicy@234250762 - Will use the pattern /var/log/onap/AAI-BAS/debug.%d{yyyy-MM-dd}.log for the active file
16:21:27,186 |-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'.
16:21:27,186 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Roll-over at midnight.
16:21:27,186 |-INFO in c.q.l.core.rolling.DefaultTimeBasedFileNamingAndTriggeringPolicy - Setting initial period to Thu Oct 06 16:21:25 GMT 2022
16:21:27,186 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,187 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - Active log file name: /var/log/onap/AAI-BAS/debug.log
16:21:27,187 |-INFO in ch.qos.logback.core.rolling.RollingFileAppender[EELFDebug] - File property is set to [/var/log/onap/AAI-BAS/debug.log]
16:21:27,187 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:27,188 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [asyncEELFDebug]
16:21:27,188 |-INFO in ch.qos.logback.classic.boolex.GEventEvaluator@4e31276e - Expression to evaluate [e.level.toInt() < INFO.toInt()]
16:21:27,308 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [EELFDebug] to ch.qos.logback.classic.AsyncAppender[asyncEELFDebug]
16:21:27,308 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Attaching appender named [EELFDebug] to AsyncAppender.
16:21:27,308 |-INFO in ch.qos.logback.classic.AsyncAppender[asyncEELFDebug] - Setting discardingThreshold to 51
16:21:27,309 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.core.ConsoleAppender]
16:21:27,309 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
16:21:27,310 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
16:21:27,311 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender of type [ch.qos.logback.classic.AsyncAppender]
16:21:27,311 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [AsyncSysOut]
16:21:27,311 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to ch.qos.logback.classic.AsyncAppender[AsyncSysOut]
16:21:27,311 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Attaching appender named [STDOUT] to AsyncAppender.
16:21:27,311 |-INFO in ch.qos.logback.classic.AsyncAppender[AsyncSysOut] - Setting discardingThreshold to 51
16:21:27,312 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to INFO
16:21:27,312 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[ROOT]
16:21:27,312 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[ROOT]
16:21:27,312 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[ROOT]
16:21:27,312 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf] to INFO
16:21:27,312 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating INFO level on Logger[com.att.eelf] onto the JUL framework
16:21:27,312 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf] to false
16:21:27,312 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELF] to Logger[com.att.eelf]
16:21:27,312 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf]
16:21:27,313 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.debug] to INFO
16:21:27,313 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating INFO level on Logger[com.att.eelf.debug] onto the JUL framework
16:21:27,313 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.debug] to false
16:21:27,313 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFDebug] to Logger[com.att.eelf.debug]
16:21:27,313 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.debug]
16:21:27,313 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.audit] to INFO
16:21:27,313 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating INFO level on Logger[com.att.eelf.audit] onto the JUL framework
16:21:27,313 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.audit] to false
16:21:27,313 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFAudit] to Logger[com.att.eelf.audit]
16:21:27,314 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.audit]
16:21:27,314 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att.eelf.metrics] to INFO
16:21:27,314 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating INFO level on Logger[com.att.eelf.metrics] onto the JUL framework
16:21:27,314 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting additivity of logger [com.att.eelf.metrics] to false
16:21:27,314 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [asyncEELFMetrics] to Logger[com.att.eelf.metrics]
16:21:27,314 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [AsyncSysOut] to Logger[com.att.eelf.metrics]
16:21:27,314 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [com.att] to INFO
16:21:27,314 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating INFO level on Logger[com.att] onto the JUL framework
16:21:27,315 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework] to WARN
16:21:27,315 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.springframework] onto the JUL framework
16:21:27,315 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.beans] to WARN
16:21:27,315 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.springframework.beans] onto the JUL framework
16:21:27,315 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.springframework.web] to WARN
16:21:27,315 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.springframework.web] onto the JUL framework
16:21:27,315 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache] to WARN
16:21:27,315 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache] onto the JUL framework
16:21:27,316 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.commons] to WARN
16:21:27,316 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.commons] onto the JUL framework
16:21:27,316 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel] to WARN
16:21:27,316 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.camel] onto the JUL framework
16:21:27,316 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf] to WARN
16:21:27,316 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.cxf] onto the JUL framework
16:21:27,317 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.processor.interceptor] to WARN
16:21:27,317 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.camel.processor.interceptor] onto the JUL framework
16:21:27,317 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.jaxrs.interceptor] to WARN
16:21:27,317 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.cxf.jaxrs.interceptor] onto the JUL framework
16:21:27,318 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.cxf.service] to WARN
16:21:27,318 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.cxf.service] onto the JUL framework
16:21:27,318 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.restlet] to WARN
16:21:27,318 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.restlet] onto the JUL framework
16:21:27,318 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [org.apache.camel.component.restlet] to WARN
16:21:27,318 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[org.apache.camel.component.restlet] onto the JUL framework
16:21:27,318 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.classic] to WARN
16:21:27,318 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[ch.qos.logback.classic] onto the JUL framework
16:21:27,319 |-INFO in ch.qos.logback.classic.joran.action.LoggerAction - Setting level of logger [ch.qos.logback.core] to WARN
16:21:27,319 |-INFO in ch.qos.logback.classic.jul.LevelChangePropagator@563e4951 - Propagating WARN level on Logger[ch.qos.logback.core] onto the JUL framework
16:21:27,319 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
16:21:27,319 |-INFO in org.springframework.boot.logging.logback.SpringBootJoranConfigurator@68f4865 - Registering current configuration as safe fallback point
. ____ _ __ _ _
/\\ / ___'_ __ _ _(_)_ __ __ _ \ \ \ \
( ( )\___ | '_ | '_| | '_ \/ _` | \ \ \ \
\\/ ___)| |_)| | | | | || (_| | ) ) ) )
' |____| .__|_| |_|_| |_\__, | / / / /
=========|_|==============|___/=/_/_/_/
:: Spring Boot :: (v2.1.12.RELEASE)
2022-10-06 16:21:27.839 INFO 10 --- [ main] org.eclipse.jetty.util.log : Logging initialized @4006ms to org.eclipse.jetty.util.log.Slf4jLog
2022-10-06T16:21:27.839Z||main|||||INFO|org.eclipse.jetty.util.log||Logging initialized @4006ms to org.eclipse.jetty.util.log.Slf4jLog
2022-10-06 16:21:31.130 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
2022-10-06T16:21:31.130Z||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
2022-10-06 16:21:31.173 INFO 10 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring embedded WebApplicationContext
2022-10-06T16:21:31.173Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring embedded WebApplicationContext
2022-10-06 16:21:31.516 INFO 10 --- [ main] org.eclipse.jetty.server.session : DefaultSessionIdManager workerName=node0
2022-10-06 16:21:31.517 INFO 10 --- [ main] org.eclipse.jetty.server.session : No SessionScavenger set, using defaults
2022-10-06T16:21:31.516Z||main|||||INFO|org.eclipse.jetty.server.session||DefaultSessionIdManager workerName=node0
2022-10-06T16:21:31.517Z||main|||||INFO|org.eclipse.jetty.server.session||No SessionScavenger set, using defaults
2022-10-06 16:21:31.518 INFO 10 --- [ main] org.eclipse.jetty.server.session : node0 Scavenging every 660000ms
2022-10-06T16:21:31.518Z||main|||||INFO|org.eclipse.jetty.server.session||node0 Scavenging every 660000ms
2022-10-06 16:21:31.545 INFO 10 --- [ main] o.e.jetty.server.handler.ContextHandler : Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@1e411d81{application,/services/babel-service,[file:///tmp/jetty-docbase.1918416130165918392.9516/],AVAILABLE}
2022-10-06T16:21:31.545Z||main|||||INFO|org.eclipse.jetty.server.handler.ContextHandler||Started o.s.b.w.e.j.JettyEmbeddedWebAppContext@1e411d81{application,/services/babel-service,[file:///tmp/jetty-docbase.1918416130165918392.9516/],AVAILABLE}
2022-10-06 16:21:31.546 INFO 10 --- [ main] org.eclipse.jetty.server.Server : Started @7717ms
2022-10-06T16:21:31.546Z||main|||||INFO|org.eclipse.jetty.server.Server||Started @7717ms
2022-10-06 16:21:33.418 INFO 10 --- [ main] o.e.j.s.h.ContextHandler.application : Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-10-06T16:21:33.418Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.handler.ContextHandler.application||Initializing Spring DispatcherServlet 'dispatcherServlet'
2022-10-06 16:21:33.767 INFO 10 --- [ main] o.e.jetty.util.ssl.SslContextFactory : x509=X509@43a0a32d(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@396ef8b2[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-10-06T16:21:33.767Z||main|AAI-BAS||||INFO|org.eclipse.jetty.util.ssl.SslContextFactory||x509=X509@43a0a32d(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@396ef8b2[provider=null,keyStore=file:///opt/app/osaaf/local/org.onap.aai.p12,trustStore=file:///opt/app/osaaf/local/org.onap.aai.trust.jks]
2022-10-06 16:21:33.950 INFO 10 --- [ main] o.e.jetty.server.AbstractConnector : Started ServerConnector@75201592{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-10-06T16:21:33.950Z||main|AAI-BAS||||INFO|org.eclipse.jetty.server.AbstractConnector||Started ServerConnector@75201592{SSL,[ssl, http/1.1]}{0.0.0.0:9516}
2022-10-06T17:16:17.514Z|[0805b086-c478-4b4b-bdeb-f152764a2185]|qtp1533672820-26|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=[[0805b086-c478-4b4b-bdeb-f152764a2185]], Content-Length=[100493], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicOnboardDohbpj-csar.csar","csar":"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"}
2022-10-06T17:16:17.529Z|[0805b086-c478-4b4b-bdeb-f152764a2185]|qtp1533672820-26|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=[0805b086-c478-4b4b-bdeb-f152764a2185]]
2022-10-06T17:16:17.531Z|[0805b086-c478-4b4b-bdeb-f152764a2185]|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 330baaba-ecf0-4168-803c-c671338986af
2022-10-06T17:16:17.575Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.586Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-BasicOnboardDohbpj-csar.csar
2022-10-06T17:16:17.708Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardDohbpj-template.yml
2022-10-06T17:16:17.718Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-BasicOnboardDohbpj-template-interface.yml
2022-10-06T17:16:17.719Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.720Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardDohbpjNodesUbuntu18cvfc-template.yml
2022-10-06T17:16:17.724Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardDohbpjNodesUbuntu18cvfc-template-interface.yml
2022-10-06T17:16:17.729Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.730Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardDohbpj-template.yml
2022-10-06T17:16:17.732Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasicOnboardDohbpj-template-interface.yml
2022-10-06T17:16:17.735Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-BasiconboarddohbpjComputeNodesHeatUbuntu18-template.yml
2022-10-06T17:16:17.737Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.745Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.746Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.747Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.747Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.749Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.750Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.751Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.753Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:17.755Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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.BasicOnboardDohbpj_v1.0/Deployment/HEAT/base_ubuntu18.yaml
2022-10-06T17:16:17.780Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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.
2022-10-06 17:16:18.285 INFO 10 --- [tp1533672820-26] org.reflections.Reflections : Reflections took 24 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:16:18.285Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 24 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06 17:16:18.749 INFO 10 --- [tp1533672820-26] org.reflections.Reflections : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:16:18.749Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06 17:16:22.161 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06 17:16:22.161 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp15874316586346681149.csar
2022-10-06T17:16:22.161Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06 17:16:22.162 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06T17:16:22.161Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp15874316586346681149.csar
2022-10-06T17:16:22.162Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06 17:16:22.162 WARN 10 --- [tp1533672820-26] 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/temp15874316586346681149.csar
2022-10-06 17:16:22.162 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_doHBpj 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/temp15874316586346681149.csar
2022-10-06T17:16:22.162Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp15874316586346681149.csar
2022-10-06T17:16:22.162Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_doHBpj 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/temp15874316586346681149.csar
2022-10-06 17:16:22.164 WARN 10 --- [tp1533672820-26] 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/temp15874316586346681149.csar
2022-10-06 17:16:22.164 WARN 10 --- [tp1533672820-26] 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/temp15874316586346681149.csar
2022-10-06T17:16:22.164Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp15874316586346681149.csar
2022-10-06 17:16:22.164 WARN 10 --- [tp1533672820-26] 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/temp15874316586346681149.csar
2022-10-06T17:16:22.164Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp15874316586346681149.csar
2022-10-06T17:16:22.164Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp15874316586346681149.csar
2022-10-06 17:16:22.165 WARN 10 --- [tp1533672820-26] 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/temp15874316586346681149.csar
2022-10-06 17:16:22.167 WARN 10 --- [tp1533672820-26] 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/temp15874316586346681149.csar
2022-10-06T17:16:22.165Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp15874316586346681149.csar
2022-10-06T17:16:22.167Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp15874316586346681149.csar
2022-10-06 17:16:22.167 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06T17:16:22.167Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:16:22.707Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-06T17:16:22.797Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-06T17:16:22.841Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:22.843Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-06 17:16:22.876 INFO 10 --- [tp1533672820-26] org.reflections.Reflections : Reflections took 30 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:16:22.876Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 30 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
2022-10-06 17:16:25.285 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06 17:16:25.286 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp13549065747269879631.csar
2022-10-06T17:16:25.285Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:16:25.286Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp13549065747269879631.csar
2022-10-06 17:16:25.286 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06T17:16:25.286Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06 17:16:25.286 WARN 10 --- [tp1533672820-26] 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/temp13549065747269879631.csar
2022-10-06T17:16:25.286Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp13549065747269879631.csar
2022-10-06 17:16:25.286 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_doHBpj 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/temp13549065747269879631.csar
2022-10-06T17:16:25.286Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "basic_onboard_doHBpj 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/temp13549065747269879631.csar
2022-10-06 17:16:25.286 WARN 10 --- [tp1533672820-26] 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/temp13549065747269879631.csar
2022-10-06 17:16:25.287 WARN 10 --- [tp1533672820-26] 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/temp13549065747269879631.csar
2022-10-06T17:16:25.286Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp13549065747269879631.csar
2022-10-06 17:16:25.287 WARN 10 --- [tp1533672820-26] 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/temp13549065747269879631.csar
2022-10-06T17:16:25.287Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp13549065747269879631.csar
2022-10-06T17:16:25.287Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp13549065747269879631.csar
2022-10-06 17:16:25.287 WARN 10 --- [tp1533672820-26] 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/temp13549065747269879631.csar
2022-10-06T17:16:25.287Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp13549065747269879631.csar
2022-10-06 17:16:25.288 WARN 10 --- [tp1533672820-26] 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/temp13549065747269879631.csar
2022-10-06 17:16:25.288 WARN 10 --- [tp1533672820-26] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06T17:16:25.288Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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/temp13549065747269879631.csar
2022-10-06T17:16:25.288Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:16:25.290Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-06T17:16:25.306Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|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
2022-10-06T17:16:25.319Z|330baaba-ecf0-4168-803c-c671338986af|qtp1533672820-26|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-basic_onboard_doHBpj-service-1.0.xml","type":"MODEL","payload":"\n 742e5c36-3fb2-4b72-8853-465a30aef696 \n service \n Network Service \n \n \n f5f898f2-b68c-4431-84fd-21a669eff34b \n basic_onboard_doHBpj \n 1.0 \n service \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 2e6f6688-a3cd-4602-91c2-65eb341a5c2c \n \n \n model.model-invariant-id \n a58f6676-ebbb-4776-8d69-7bd498750b82 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 46b92144-923a-4d20-b85a-3cbd847668a9 \n \n \n model.model-invariant-id \n 82194af1-3c2c-485a-8f44-420e22a9eaa4 \n \n \n \n \n \n \n \n "},{"name":"AAI-BasicOnboardDohbpj..base_ubuntu18..module-0-resource-1.xml","type":"MODEL","payload":"\n d8737939-14cf-4761-bb88-5a693c076e20 \n resource \n \n \n 420ddbeb-f678-43d3-8b65-9147f0630b39 \n BasicOnboardDohbpj..base_ubuntu18..module-0 \n 1 \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n f6a038c2-820c-42ba-8c2b-375e24e8f932 \n \n \n model.model-invariant-id \n 3f4c7204-739b-4bbb-87a7-8a6856439c90 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n abcc54bc-bb74-49dc-9043-7f7171707545 \n \n \n model.model-invariant-id \n 97c26c99-6870-44c1-8a07-1d900d3f4ce6 \n \n \n \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 36200fb5-f251-4f5d-a520-7c5ad5c2cd4b \n \n \n model.model-invariant-id \n bace8d1c-a261-4041-9e37-823117415d0f \n \n \n \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 5761e0a7-c6df-4d8a-9ebd-b8f445054dec \n \n \n model.model-invariant-id \n 96129eb9-f0de-4e05-8af2-73146473f766 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 8ecb2c5d-7176-4317-a255-26274edfdd53 \n \n \n model.model-invariant-id \n ff69d4e0-a8e8-4108-bdb0-dd63217e63c7 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n c00563ae-812b-4e62-8330-7c4d0f47088a \n \n \n model.model-invariant-id \n ef86f9c5-2165-44f3-8fc3-96018b609ea5 \n \n \n \n \n \n \n \n "},{"name":"AAI-basic_onboard_doHBpj-resource-1.0.xml","type":"MODEL","payload":"\n a58f6676-ebbb-4776-8d69-7bd498750b82 \n resource \n \n \n 2e6f6688-a3cd-4602-91c2-65eb341a5c2c \n basic_onboard_doHBpj \n 1.0 \n VF \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 420ddbeb-f678-43d3-8b65-9147f0630b39 \n \n \n model.model-invariant-id \n d8737939-14cf-4761-bb88-5a693c076e20 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 93a6166f-b3d5-4f06-b4ba-aed48d009ad9 \n \n \n model.model-invariant-id \n acc6edd8-a8d4-4b93-afaa-0994068be14c \n \n \n \n \n \n \n \n "}]
2022-10-06T17:30:11.261Z|[78980df4-1f03-457e-98d6-d26f2c78de9f]|qtp1533672820-29|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=[[78980df4-1f03-457e-98d6-d26f2c78de9f]], Content-Length=[76955], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicNetwork-csar.csar","csar":"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"}
2022-10-06T17:30:11.263Z|[78980df4-1f03-457e-98d6-d26f2c78de9f]|qtp1533672820-29|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=[78980df4-1f03-457e-98d6-d26f2c78de9f]]
2022-10-06T17:30:11.264Z|[78980df4-1f03-457e-98d6-d26f2c78de9f]|qtp1533672820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned 55c76de5-b797-4eac-8df6-2634c70688d0
2022-10-06T17:30:11.271Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.271Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.274Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.275Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.278Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.279Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.280Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.281Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.281Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.282Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.283Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.283Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.285Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:11.287Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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.
2022-10-06 17:30:11.301 INFO 10 --- [tp1533672820-29] org.reflections.Reflections : Reflections took 4 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:30:11.301Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 4 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06 17:30:12.374 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06 17:30:12.374 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp4129579302036911285.csar
2022-10-06T17:30:12.374Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:12.374Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp4129579302036911285.csar
2022-10-06 17:30:12.375 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-06 17:30:12.375 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06T17:30:12.375Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-06T17:30:12.375Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06 17:30:12.375 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06T17:30:12.375Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06 17:30:12.375 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06T17:30:12.375Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06 17:30:12.376 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06 17:30:12.376 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06T17:30:12.376Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06T17:30:12.376Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06 17:30:12.376 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06 17:30:12.377 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06 17:30:12.377 WARN 10 --- [tp1533672820-29] 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/temp4129579302036911285.csar
2022-10-06 17:30:12.377 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06T17:30:12.376Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06T17:30:12.377Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06T17:30:12.377Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp4129579302036911285.csar
2022-10-06T17:30:12.377Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:12.406Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-06 17:30:12.428 INFO 10 --- [tp1533672820-29] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:30:12.425Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:12.425Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-06T17:30:12.428Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06 17:30:13.274 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06 17:30:13.274 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp2705034484216562763.csar
2022-10-06T17:30:13.274Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:13.274Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp2705034484216562763.csar
2022-10-06 17:30:13.275 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-06 17:30:13.275 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.275Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 8 Parsing Warnings occurred...
2022-10-06T17:30:13.275Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.275 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.275Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.275 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.275Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.276 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06 17:30:13.276 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06T17:30:13.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.276 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.276 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.276 WARN 10 --- [tp1533672820-29] 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/temp2705034484216562763.csar
2022-10-06T17:30:13.276Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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/temp2705034484216562763.csar
2022-10-06 17:30:13.277 WARN 10 --- [tp1533672820-29] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06T17:30:13.277Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:13.277Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-06T17:30:13.279Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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
2022-10-06T17:30:13.280Z|55c76de5-b797-4eac-8df6-2634c70688d0|qtp1533672820-29|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":"\n e1306de8-1f9b-4d66-a8bb-d1560af960ac \n service \n Network Service \n \n \n 02dabe3b-75cc-415a-bf9f-46958b36d60a \n basic_network \n 1.0 \n service \n \n \n T \n unbounded \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 9d70f0e5-901b-4ebf-b397-1ff7cfe397e2 \n \n \n model.model-invariant-id \n 5e2e979a-4ef7-4e4e-8050-5f642518a96a \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 46b92144-923a-4d20-b85a-3cbd847668a9 \n \n \n model.model-invariant-id \n 82194af1-3c2c-485a-8f44-420e22a9eaa4 \n \n \n \n \n \n \n \n "},{"name":"AAI-Generic NeutronNet-resource-1.0.xml","type":"MODEL","payload":"\n 5e2e979a-4ef7-4e4e-8050-5f642518a96a \n resource \n \n \n 9d70f0e5-901b-4ebf-b397-1ff7cfe397e2 \n Generic NeutronNet \n 1.0 \n Generic NeutronNet \n \n \n F \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 9111f20f-e680-4001-b83f-19a2fc23bfc1 \n \n \n model.model-invariant-id \n 3d560d81-57d0-438b-a2a1-5334dba0651a \n \n \n \n \n \n \n \n "}]
2022-10-06T17:30:47.053Z|[0c1baa52-e417-47d8-b338-1aaaddb8fcb6]|qtp1533672820-30|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=[[0c1baa52-e417-47d8-b338-1aaaddb8fcb6]], Content-Length=[117122], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-DemoPnfE2roqsby42ffviwyolet-csar.csar","csar":"UEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAJAAAAY3Nhci5tZXRhC3Zx1g3xD3Z21PVNLUnUdcvMSdUNSy0qzszPs1Iw1DPgCoYrcElNy8zLLAHKFCMpAakBAFBLBwjPUv1CNAAAAEUAAABQSwMEFAAICAgAz4tGVQAAAAAAAAAAAAAAABkAAABUT1NDQS1NZXRhZGF0YS9UT1NDQS5tZXRhTY7NDsIgEITvPAUvQGsbT9wq6s2f2Mb7WpeEBJYKmypvL8ce58s3k5luoxnUBRnU2XlUT0zZRdKya3bCjMNjSzphEgLjWx2KlgaSj1mOQAwE4kScijqideS4FrKWm9BmTKubsQoh3sme+hQ/+VX2vbWr+5bokRVjWHzdb0rwQlwhoJZzhtSE+k+YSIzEaipL5Yw/bqvtSPwBUEsHCFa+aqOZAAAAxAAAAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAPAAAAERlZmluaXRpb25zL3NlcnZpY2UtRGVtb1BuZkUycm9xc2J5NDJmZnZpd3lvbGV0LXRlbXBsYXRlLnltbJ1WyZLaSBC98xW6cSpCG1q4td2NYyLGmGgvEz4pSqUspsKSSl1Vos18/aQWhATIGyfIfPkq98RIzWiSARelMEKWOjmC0vhlY5lWpUVR5ZCcaJEnTuItCjA0o4ZuFpYlyiNVgpbm8+e/HjdWtM58L41CEju+T3yf2STlfkxCj9oBjzlwz0arDsyDMA3WLCChHXLiZzYlcejZxIvAZuuAUmYzBJe0gI31CIVMqt02AVd9eNFvvvou3x7FP19lDgZRGWimRGVavxl6l8uDpUEdBYOxEqGFzCBvnEcYHKQ6bawdmFepvll/O8RDhTlV+OTHzhp/9zyfWvFyeZE84+tTybYuWedEK4XyKJQsCyjNW1ka+G421jsoQdE8eYYjlDWQN4ApLA9tNrXBXAraMHSvvadMyYaIyaLqLA1kO1qgBb5hVA3LLkko2MtcsFP7NNZMKqM3C2KVGK9u4rUsLhp/W8HqVOSobArZhDsBNMJez2hFU5FjZ0whY3kPVZC3jut/RTXBThQ9+KBkPUV1kl5dNZFcPXmW9RBaltJ0vGPUSNwD+8qQH7YQEVgdxSmDMdnYdF/yJ1fJF52e0JAfxeupNTSA44FFuTAM+dCyVmiNb1peFqQ4Aj5xojCdJqdHIf8Z1GAG3p+y3Xf9p7zz/j59N2/37l0yVLHKnfVtjz133wlUzFq9y2VK81nbTl3dMBiJHSEPp+Qs7RZSVZu+IfQ3USWV1CaZDFbCZMnFoVbtrw7aLBBO6xzHsxmpXtbtgVRinWnZyxS81EJBhvuL5rpDIqFRMs9BJZQZqW44P34gz09b8vjw6WFCrU0/+bPMmU7afTUs5T+1b9fo7xn37idacvNKFfyRD82yGSrUF+amhS17yinVYSUr3HbN1ludO2FVlXx11c692fgmdZ+rywQQAWduSLLAp3hsYiAxjxmJWeZGccCoHfmD7fmYRdRNqU14HOF9AuaRyAnXxI3TNAqcALzIHUy6K3UT2KCf3Cfc+5lU1jmvVqVkVjMzgIcL1X0ud6o9AIINmuFSL52VvbwY1NrIQvzXNngXTOpAxMH3CHfsNfHXAcbveA5hfsTAA/B9hw/2XRH2u+0g0XV68eIhxZrTkb/nAn1p48LMUS90oiglrhtk+Dcg9QjNbHsG/ww4Xhqug1AwwrxvMrKrixRUf1nbPlLYJOpymlpPf2nox1N+Z36vBhaj10aYuiUqaFVhw/dPdu19p2n707H6welY3I/ht9YW+TX4YibQgeVaczaY2z/kVnVjMl455Eo+3ZCzK4bMIhb/A1BLBwhsED/bxgMAALgKAABQSwMEFAAICAgAz4tGVQAAAAAAAAAAAAAAAAUAAABOUy5tZk2PzW6DMBCE734KvwCpIU1VIVVRqzT9USGVShvBxXLNErbBmNgOiD59cJRDpD3NjGb2U+BEKZxYLklreWd0eZSOt0JBTFegNO/SNYfIbA72Kb+NqnWP21w34C7xHkswHMuYSssYuz/LQu7FDngPxqJuYxrOmNcNNCAscL/HHfqJiEVRELKA3WVsEc/ZdIWPurGb3BTcoM2efoTB/Lq4BCsNdu5cLqe2Ru+oBdOjBHplEvKlj0aeUSps0Wv25hIMPN5nWz1HRh/s7zjBVT0Oo4cLHKiuEQ5mo2rIY7PTBl2tYpqsFuRV2Hr6LXuvN1mJ6f8PpuptLFbJkGTJkP/JeZJ9h+m2wDyrMX1JHgg5AVBLBwiivMx5DgEAAGcBAABQSwMEFAAICAgAz4tGVQAAAAAAAAAAAAAAAEYAAABEZWZpbml0aW9ucy9zZXJ2aWNlLURlbW9QbmZFMnJvcXNieTQyZmZ2aXd5b2xldC10ZW1wbGF0ZS1pbnRlcmZhY2UueW1snVJBbsMgELz3FXwglpr25FukpNdWbe9ogxd3VcySBTvy70tsmsRRpUrhBDPD7OxC4mhAN2jJUyL2UQ8oMW9qlSYqUhcc6hE6px/100M+sqRYP6yU5wbzRuVlyWE9A9XYuUw2kCCNYSk4gYU3EGBPLhddSq7xIhV0MGX7orDQLogiboX7pWpGCh3Ykbkp+YsVCXjPafa9Vl3Bk/DUrD53yNJWHNCj4S5UEWUgg9UWO37zdrcWPsT9+Ly2dqDjyA7TbN2g0ICNtsJdfWMiGLmX7AL7mARMqub5FvPpfpCsl8sMlTJN1F3WufNDFkKpU9haZS/y7RkUPPQk2NTKgotY8PhNQQeOSZOPCXyiqXNt2Ftqe5lOF+f8f6B3Kf8Z6fGm3p5zu+D/KXiJ7aHDuzLnbEnYORSdh8XyR7yP19X77mW13Xxu7qlQfHRkm44geOeIfwBQSwcIs6TnLlIBAAB0AwAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAmAAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtUG9ydC10ZW1wbGF0ZS55bWy9U01v2zAMvedX6Lbt4MCZ3S3xbf3AMGBLi6LZ1aAlOhUqSx4lp8i/H/2V2F2BAQU25OI8Pj4+imRwXkKusNRWB+2szw9Inj8yEbqQ11VtMD9CZfJVniwqDKAgQLYQQtsDkAYbdrtv15lIks06jaWMPpflKkovVBptML2I0iKNYZ0kBSjkrJ6clslGrkqIPkECTF5jBPKjjOJ1HKtNHK+KtWSyhQozceco8B+FXpKuQ2fvHmtCjzZ4AcK4vZZgBP/V4SjCIwQB3jupIaAXBYZnRCuuXFU3AQVYJbaMOXpiWa7iqIKgDyjCsUa/ZLByCk3bpGSFvaNjJr6iRdKtq5aVias7/vRNcWYMmuLGYNU64zh7dA1J/IlWOcrE7fbLnXj/0L7thz/C92gQPEuvljH/nlWcdJwJ5Ufra9tUBbLYu3cLHg8/js8WEXfBD5R1DZXasEoHLI+V4WA7s665KaEFh7iEGgpteAnmlCk+UAkNdLvyqOsZdxYYyHtyzZzVI0O4dkbLFyVHbKCAtS70ulPWBO6IbbP5qcNueZf9A9h+Kst2i3oFxXM8oMpLclU24947FwbKP9q1V7dNiJpcjXR+fb6uOgeluO4JGRfPB9J2fwIJfzWaUGWiBONxTPftWUNjwjl9BGbEUbVwjrfP/k22zgnsHnPexrf5GgV8AApvknDEA3ylq/iFmLZ8mEivqAVqerEB6q61V4xEoa1iE+cCTsqGCK3EySiiSblI7LaXt7vt9c31CTsdznHcsNkpjUt5ycWgMDgxeT6iMXN+WNNU/+AG10bbp/9j+TtXeqPlNrW1/BtQSwcIhuUXwGQCAAB3BgAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAxAAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtUG5mM2Q2YjA2ZjQxODdiLXRlbXBsYXRlLnltbKVXS3OjOBC++1fotNk9yGUwYOxbKpNM7WEzrtnMXikhhK0KSFpJJOP99duIh8HGmTghl6T7669bavUjVhpKkozlXHDLpTDJC9MGftkg61SGl6pgyYGUReIly1nJLMmIJZsZQly8EM2JsD9+/PllgxiLWU79Fc6igOAgWzO8ztcUr2nmx+uIkkUcgFUDjsOY+ClZ4Hwd5zhgdIljbxVif52mceRFbBn7ABakZBukHh/QMovSRZQH2ItXKWgyZqjmyrpYX5jIpEZG5vaVaIaUlllFLcBKmbGiDpYSy3ZSHzboKxNMcwoye1DAvn18gN9NlR4ht6mxmjgCzYysNGX/OBcQOFmuvDhOse9HGQ6CdIlJtlicIb+zghED9DfefHHj1APtX3VYj1WZMqC8uZnBLUttzWaGkQCVqSNGKOcFEDjB/FAWoKyvvo56BKiFrZ4SRVJeQC7HkKG8hWpWEJfyPVcj7EjRgndaVmNUI2nVShacnrjsZC2ECCFtwztEDcR9XM014rOsYy4s0zmhbBxui9+KvIM7tGXwdCGlR7NTD/c/7d3WnyQDFVV+z3Fq+bWQKSm2kLNJ60Zdp/Qiw0Xb7ZmVlXCXcndIOmlTfKqy7VWaZ64SJY1NuDAWCpK7G02oFDnfVdr91UDrwslJVVgocF2xVtYUQiolvFnRyjT7t+KaZRuUk8I0SJEneSXokK4xhXLhYveGJYRitSwKphOoKyik02j+/oa/3z/gL7dPt9cxm0zQxJV537uuJGi7RmduxvYFN/YNa4QYnOyQGLpnJelMJ5y7OIm2HF6iTVxjuy5OuHy4wWut2gtOTk95vXOH/HBurj5w3fb6F9/mRIm8rlmVeGMqqXdzqaCvU1mqeVdKc6rmL/6c1VXewofjq/lOhhgNGMnCIMKUhjEMMRZhsg59HEeRH+V+4Hth2Ns2JuGKeuk6DDEDCA4iL8bxEoYaWaQ0CqkfMLboTZqB1jSeXjiaZU97hm6ffntCd1LAgWoh2kroYSiFeeIOjEhRIGn3TKO7LVhr/sJQrmXZM/Zjr/mmhl/z9eO+G1OtQWWsLPl/rnM0x/Ti1PMXHsXLIGL1eF/glK4ojmnor5dLuJo8Pnn9/bWfjNdHZl+lfkb3BSuhekyPOh223x5vt+j3p3oT+eMCqJ+zED/8vGaL5QD5xshtILApKKaP49I9CZW0z9FFd1TAFDMG3mwtTuAp7SW812xPVY9wxv2dBsPj91MImnTG4TLqAw77CGSN0AueGx2VFTjuS2WgBb8mmW5P0KB+3m3r+oPIhzauWJJd/SAgM1mHGM4FR9u36CHr+aJRf6JJ7JwL4AayuSL0mVkz1+3U6r6pa3cErjzepDlzJiu7kzUqPdgx3/u8jO0v03/uLJM0U87UEPUhPyOGy7lxx/1sZo4kv3D0WR+/SPtns/Kec3w4J6cMzb8bxnJbuT2tJEqBuuVoBt9bcw3G4Pxk251NR3PVZojfB2/RE7sgHgq7RnFh8cNnmi7kS+sYPld1JhdXQDyhO8Y/XKdwJxhyTq5reEJ35BxuSbgTjJfdi7sYvog4P+hEREfF7H9QSwcIGXuVTJkEAADYDwAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAA7AAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtUG5mM2Q2YjA2ZjQxODdiLXRlbXBsYXRlLWludGVyZmFjZS55bWztWUtv2zAMvu9X6LgdYqzosA25tUt7Wh/YutMwCLJMp0Jk0ZPkbvn3o+VH5Dhr0AzJECA5yRRFkR8/UrLj0UnBM8iVUV6hcfwJrKPBlPkw5VRRauBLUWh+xs9f0SNa76avJsxgBjRg9MuVhmkjSJaFpslMeOGX5VChFrbzUpQiVZo2HarE8lbVghbBt0dVDnQHE63y3GI11Gok7XSJWsm1LTtZqyKMQd/YjbUicVCsg+V9hGjnCZZgQGJRJhYcVlZCUpo8uTf5efY+ffs+f3f28UPa2MzAqifIeG6xmP5ttUidt0L6pAH2/vY6rC0t6doVcIy5hSp5ic5zZZwXxqvgKJdocjWvbHjqlOvNc1FpTym2FfTSOpYpSxE1CNNLLfyslIVsynKhXadtcp5XRg7NNgbIZWXmW9aTY96i1mA5xYd2g29f7yZfrq4ns4uHi112cJmRvCDcdM/oncxg7n8JC50Rt25FK+e32GAMKNold/IRCrEysNGR4Leg7OYEDDeigJ38pgQRvrutbVPA12Pf1ZGg/Y853BGIcZeh8jE5/Pay5GdJ3cp4oazF2tK6/WFVDhrTPS286db1y1DKylowEiKaTNjbaPzt9vLu2+3satbLnoRWGW8qvu0n7HvEkR/9eFz3IUQ05GEo9xKV8fHc5kj61jwM41Nv6L62MwMnrSrr54HFzamKQDXgf6FdJMrQbmQ3KYVcgHcJtaFRDp/BuADKr0w+gdJIY7BRj+hdm7KLcOwEc8w/Cs9oX12RCj0BuwlGVjxY0nSmJHnignYUmvKkZlgKrEA6DJFiZJWjAJjsXUi25fpsr7keVkEDRdsun0V9AyXWimcE6wp21iSiQbj2gG4GHUQJe/3w2ErlOFEtsK7B8c1feBSdQhGNcrTUfOicfAFlrrs1hynJDaTHys/xRPoDk34j6sdI+lEVp0sPozvHiT/7apoB7mMkTg7CV3bUacI73JAht5T4/98eA9Cn5njQ5rjC/BgZHoVTxr3+xJ/982cA+JGTJ6qFE3UO2nqOmTjDG8Lp4Dr8rezoD671N/MTfw78KeRIyNOKCjAdRyYxnTIgjmSE9nK6LQPPX+NXRNj+nlDzqtNq/oz4ghh/9179EdOpDf+cmQWv3Z0ZB5TWNIy/vu4jmo4Tl7SZSDW8wPV4qXvAcQBamcVhvP9MO+3ofb209v4PUEsHCACQYlF8AwAA8RsAAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAKAAAAERlZmluaXRpb25zL3Jlc291cmNlLUV4dGNwMi10ZW1wbGF0ZS55bWytUsGOmzAQvecr5tRtD6CEBTbLbZtEVQ+bjaqkl6pCxgyJVWPTwWSbv68NhEC76qnKxXnvzTDz3hhdc5bmWAgljNCqTs9ItX0kYFqqFmUlMb2wUqaL9H5WomE5MyyZAQh1ZiSYMofD53UCPESWR2HscR4tvTDH2GOPUeAt4ziIiyAMFlFkqzpx9MAX2WMUeWhJL4wXS295vyw8Ns94HPEgRJxbsWIlJrD5ZVa7wP7NseYkKtMOuD8hPO3f7WGllULuQNhpoQxkrEYwlwqBSQnanJBgtbPVJM4IBenS9ip1jtKtwZnBo6ZLAp9QWQm3mCtObI191k12U2zRvGr6ARuJJSpTW56w1g1x/Ioq15TAy/ZpB+/3zr0Pf9FfUKIdLoGFP7e/13x+32pGkmc317YpM7TN7u5mNgBNpk5mHihL1W5kgEJI26UF/EspLelScWNPBA7sec4qlglpY55KxngvJZSsvYaTqCbaCdGLj6SbqapDerrSUvA/PnnFeglTSpuu71g1gluhWzYdNtR09HVlA+O6rPyryz6v/HPgozuYrlcXep661JN/VHVWqi5ff2ct78v/38XBGxkAuHTTUhBpEup4Ra8nOB14kpWb8flaN5RpzhsiVPz2BQAP5qP3Yfvx5bBdb9YDdmZS5GlnRm8xfBtYgO/DuyI7DY3nb/ca/Egr58eYe3uT4Vqna9yMbX1d39yfdCT82QjCPIGCyRpnvwFQSwcIAwFtYSICAADHBAAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAsAAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtR2xvYmFscG9ydC10ZW1wbGF0ZS55bWztVktv4zYQvudX8LabgwQ7STe1b26ybQOsvUaa5FIUAkWNZGIlUiUpp/73HVJvW7G7SDaFAW8WiDKc5zcfh2OkZjSIIOaCGy6FDtagNH5MiXFHmmd5CsGGZmkwDi7PMjA0ooZOzwjhYk0Vp8I8Pt7dTsk4vIivKYB3PbmYeFfsEjzKfrr0xqOYAv6n11dXaFUqX4QRm8SfQo9OJtfeVRwyL/wURh6LRhM2Ho9GIfyMyoJmMCW/pTKk6VIqg6IINFM8Ny7Je8gVaBBGE0oSp0ZSmXCGv3PUJ8/crEgmsTqpuEgIozkNeYrFgvbRWyYjSG0xjBpIpNpgNBCgOEOZ2eQY/WaJn7oIW41ZqI2izGaD0WWhGDyBiKSakq+L2ZJ8fLDYne8c30MKVKPLsT/Cn+dodOl0Oipzm8+iyEJAZx8+nCH8WIaennlE4JG2qRIS8xS9OIG/yVI8tD2x6fYUrLA679bdVenhUaoqSKnjwornPd3eQaWcKFn0tUpJdZzLlLOtkLWsUqFCSFP67Wp1xE7RFhs0FUqV+DLHRjGZ5X6Nss9yvwRFgHmW6ptvOVN6jbCna4iCWMmsIveAbqX6lgwjJFeYqmqRx5uTBwr+LriCzHquxTXjUq5NI+plwyPU5zG6IndL0vWBJRGzgpKt5b/qOMJyVQGNGLXVJtBsBRltI9ex+8g2tGpQusvvO1Er8+owUBJbt1UMXhWEZV85FkrM/ulLz8/+MvA+onIukUvRgYitfUxTXTvIKHuhBzgNaZGaLjRWmclCmKBx1jnFfupgOMp/RXVO2QCsLzd/PrshNIqQmUhLrXkiDpOgmxfCx4UBFVMGARcR9gDpu4vBYDEhog5UHEySx8TeKUSHrOja3o0/ipDc1XEPpAj/3CwDnP9ot7c3DtIgsUMbB3RUm/Q5v78LC2dyIJ91SsXrb6318qrOvfb+PmECA1Rzs92iV6p9R3H3pSVZVJbkC6r6P7iKKmgdc9YCOTCRAkOT75lK80IbwqQqMak7o8EQGRO3K2G5VQDPBiAYoG2y0p1y7HPjzLHXknGH1O+fZw/EAC5W+Of+MScVvlvbudubm4AaTv4BYzkrm2zJKCKF+7JYFlgQF9pQwYB8BD/xCZjVxflQw5o8dpeHBmCfC3SLUPo5Zd/AaN/ewu2M++3svZC4UOKy5d8ATyV+v1TWzG07zh3WQnGoCJYWqOIqmzsnbZ4bUs00d05NpyEcW4tXMIT6zcaGFNo93E0KLRiSsQJ5gGB1boRHxp3vx8UvXx8Xt59vG9ma4qMUlCtJtbKQPzsp/NV8724GDlq79Pbel2Yc70W9ZzJI8x1YW9hJ2YgSYZuB5X0FkY8b7aqSst1GVcDqEsfznnyQ1XUVsjCJtFWEGwM7I+dEmjcmTR/u42XLadL8H6Q5ykkTS/VMh97QPTz5tbY51JvRm/SmA3TeBfrE7B/P7B7gR0PqnSXAzfPTOHzXxavF/Mh5c6LMu1Lm6NjS3xpPU+b9N/UjnzKnfeZ9SLMN+BEw5l9QSwcIDiR+MnQEAAB/HAAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAUAAAARGVmaW5pdGlvbnMvZGF0YS55bWztfe1y3MiR4P95CgQdcSNGkC1RmtHO6nwb0UNSng6TVJtNyrGx3kMUAXQ3LDTQxkdT9Pki/A73d/fl/CSXmfWBKnwDDVLUWIywRw2gqrKyMrMyszKzfvPdb6wL3/HCxHOtLHS92ErXnjXdMgf+I94cWR+9OPGj0Ho9eWW9wA8OxKuDw/8JPTxEmbVhD1YYpVaWeNCFn1hLP/As77PjbVPLDy0n2mwDn4WOZ9376ZqGEZ1MoIt/F11EdymDrxl8v4VfS/07i6Xf/Qa+pb91mm7fvXx5f38/YQTtJIpXLwP+ZfLyYnZ6frU4PwaIqc1tGHhJYsXeXzI/hrnePVhsCwA57A7ADNi9FcUWW8UevEsjBPg+9lM/XB1ZSbRM71nsQS+un6Sxf5elBrYkeDBp/QPAFwutg+nCmi0OrJ+ni9niCPr44+zmlw+3N9Yfp9fX06ub2fnC+nBtnX64OpvdzD5cwa/31vTq363fz67OjiwPcAXDeJ+3McIPQPqIR89FpC08zwBgGXGAkq3n+EvfgXmFq4ytPGsV7bw4hOlYWy/e+AmuZgLgudBL4G/8lKX0pDQpGOa7NEocZrve0g99+szecXp4Z/FXCcLk2Q9sE9gn9sl3LkuZnT5sveTddxb/ZoLP6NHkOopSfG5Zrpc4sb9NqasbGPTmw+J0asXwgXUG31s30MBiQWBFhAX++o7BVNVrwLkX+zuYfBxtoFc/TL2VF8sB8JVr47t3lYDAZ7hi4apHg9TfeEnKNtsebe6iKPBY2KPFMohY2uP7AEivx+cb1gf8PydRH9jhYcDi4wzoZVirSeL/1atqqn1TaIGr0q/FEqWBFzoP7c2KEJ+CDPHC1GdBj/lZ1jaOgP9SnzOGeJJGThTI3zAUNHkniFI9lHLrnbVkQeKJ52n0yQuJ0VqaA++yLEjfWVuWJPdR7OodNLb95D0kxQ+AdFoAsyxATvxgJyCXNyxvXzkE7Bhx7+mDsJ8ALkMP9xUN1fMoTi/9OI6w/WkUwgcoXuYRyIUzTdzst2rh0g7ZBkawnchtRn64dLp/66WwOJ/sGGRF44fbbWI7uO356UPL6N3IQ5PDrgdbjcNgB9NmsFcnRcTeAKfOQEzHu73ZB8RwnNo56+fQKSFdQURpnElK9UJ3aPMimGL1Jlf8v7NwGe1LZoIegH66EY7vNn7GXBe1CK/E0bh39GXduukjB44w9y100z5x+qpl1h2Rs2GOLRD0PJB45i2rcCgUHHrjgDKWxqAwpwKaY3htx6D1KbQdWyfqX29//PHNjy2jLkB3fOo9TeNHba9KnZz5ShPlEwIB4rs2/H+mLwe+ydyt8VvvjNC0UqwNImTlpSUB0LwyRlsT47IHetg2g+JymUtmLhv+JVEWO2Vp1QlY3vaJgK3boNceSxV8U85Lc+b3UdgLe83l9PTlbC75ElQcP05qKLMrj5dHkN23Kj6waaRZAv1lWxROahf1t0NGzuc1aOBOi5Bkd/DPyS9Rkl5HYLkOXwnsAqw36ANIZRnl9iiNULMm0APY2SzXyrphBs1FrSmNhSgAq5cgGLxQofc5XUfbvrBgMwvaqUlrwD3e2k2DIHIY13CjfspUaQakS6FPAJWifJtTE2JqLNh2o6BJI+uDvAUfVnBv02BDVhOm0geY83zmo4LSaTFDL0vjKJwsiF2GL+ZUMBxAiF4jUEXQ1aPJEusOZvQJJsdSy4E3dx4aYS7NGAxEfxXmCMpbASmkkbXz4zRjATA4zDN0vDpRm3ohC1t1swoynJ1Jtx/vwrpfR1Z0Hyb0TOBqD3pAh5/trp0ShwsXTQ2VAjph9qipWP7SOvvldI7+Pt6dS1xDAOgvXT+ht63A5iqPrgjV7yS7t3IvsTdtNmVpQ9m9VWSAjQdjcoBShljfvT3GHr1lFtS+C/T9Dl8mAWOOPv2YDZv59dR6QZtcbE3dHVJs4m2AQQ6/TlxQxza6exudNKaI+wxwgpYUg20FeEi4u9sJMhd3bWIy8otpxkwr3f6f/9sBRT1cQrnItVHkNpta+25kw3W6tjkN2MLlLkoCfBu1GlFlPQSWFY8JcjEqNoO9tlE3TMgYT7wYff/d12MqDyNASCYABcB0drXgUIrOkADFDtSd4v7jP8eluDWorjYpjj2JbQU8es8e9tXURyOnojafmx/y0KYwPd2fMNYM1TL98Bii8wfj11upt7f5imqZZVk0UoYsHmhaS/9zUHanN+J3Tq0saLZK19yG4dyqyShU/UZh4lpUr2KgIC+2o9iGLlnwznol3jq+2+abLyH1dHZ2PRhGQWy239sAG4kRm5ks2rEFSS3DxUJb6rygAg/R3K+gfyEWpaaLR7+4leUaNpEJwlujeZNPNPGcLPbTB1toqL2U3fcBW6FU5m1fCj2WOrZkx3i8jWyjABmy2vv7YxDMFR7/onKOYQd7wcPcjR/apHfZWT8DAUmQmmMEADDujvSQVIiXroD1swT+EiWgHwW+03wI1Kol/CFaWLwfRCNLU+asR0IoiLF7YAJprpBzrof24LoUcQD2ZpWXT3aPsOLJJgAMW/hqvT9hjqPZ5d5N0cGdH7oYa7AL/f5narhu2JA+FUrTXZSFrmRF4T/Yd+a992Pg4l3KTP+6C2M6qfEojOINk7vXr9Fy6bt1CProelhWcb5YsYOIXSO3eijayoli+LmNiPy4IPfdpv2jn99mrnXYl+haWIm7xPDryXv/s+fOtnvsr1yLepn74mtQkGgeuG4Y4D47ihtb+1x6ChWOh2hpoouboftK1n3PE/A5RcIJzhEK5jjA8c56EtGTorCR6t77gdf7CNs8CYFuLOzGUmxapjKMkOy7AagAxtvrmfjYehF7Adc40H97l0QB2H2HAouaf1eXXJGlYRYBqcBiJx0E2w7aymgXE7bXPgAM2LAwgtB44IU74/cOULgxP8kdz42kA7AgKIGS1nEWeGQkzHPVZ5DoosNb8mrpx14kypuOPHmEDH7W/1BmLxmAkTV9h8Xjl8dh6ep1uc6CPY47hcqMPdUhP3YIBz1U3gVfZ2r1ZdTXFhKWWkK3II+Ct4O3GTwvN0ntbvE3xrhnGsOo5s8JuR/5odqVcbiF8ekwCuiMfjnio5F5eRPaQLGPvdDdk3zPCrLpWaG5SMPIngPISbDo10NJ3BjrGWBxJhs9pTC+6BfEXgAZlwxVCk0w122L/BM7zsoqWP3Cnwq4lW9Oif5nsvrXHJ696WZ0NcXklfJyiKgCO9TH70anAvK9IgP6hWcIDygiO9lThaA+rHmD/hZ7myj17FUcZdsB0RS8uUXN0dvH3UYsSSLHx/BsmYwFtpTy7NLHGjnuReVD9AQEXLbjUSoA3oalwCiUuUX2qgHtvpzY24QoxpMW4019R8WXepi71NdCOpeNVDBMzJZL32mdo/Jszea7Rzl9M/oVD+QZHLmOKETU3rDPvU7CvsdFh0b+JttwqybMNnderDx72GsNMWjgVJDFxPp+fMqoDoV9ZfzS43YFG/tbmx8UDuTj2VwcNFov8JjtsAs/azCNwCtiIn2jb/64JjZAeHlAwIPFTOGEvovSNLuTexHBj0H6tWNoL6Wg3kf1othW2VBziFWLPeQHymXtEz8BYxtHpCNiyTN75tyiP9OlhN8/HgHP2AYIiWZ+mHxZEdGogCTZHWhSaYYowOBQ9eO9H6Rez+TVstNVdWfx/moUEQWFJ21SO/U224Cl/YxT1Y2yU29ENxVL0C0gMnS9z5wUexHTDNvxkygtCCRHRyLtaAEfEEqIeWEq9rU7u70aTkYNwRkRwNMH96fYoDvQ35983wo2pslibuOQMAPAv48+6ATkG98dJMZFr1qEbXeoO5HMBgwUlkZx6eC8EeBL2WpEaDrZah9fT4SFVLD3vCUmwi94HvMedog0aKXl7C0TC9vAivCua4SCzK2T5jS0syn7X7YDPfDPUSmEqJEt5RHmXMFiggLLAF0OltcdQPbD0UHGLsc3TTvSx/h0MZQcilgdk/qHLc3TLwqAQE0msy3b7JvrIaeHfVmAEF4YY9GUcKXyYaGJtkT0kx/cJrY8wJWarl0R2Ni000iwsFNNmtBPMQb8kLYMdL43O/eZzaPN5FkQ034+1CaCsi6ka3QfqhpVBlTMf/A6PioNogeUFsLunSHXhQSxexEpjN0/PSEi/vfebiqJbzjBdffsPyZ1jOLn78n/PVbT6G4RO2OfBLR4/gsqA6IK3tra+YxtHNPZexwVFA/uHv/soA7PZ0k6Fp77HLN0QLZxxL4PsisP3b8oxkeIwukVetMR23RMbn+xOJ1eUD7PoJ4KKTZexNUYy6zigJ71MudQfh3LPCX/+H7qLu+ji2LbgDhGndioXshaiKy3039BDQVAj7nMOrSNMUYNeRnYTPpvH00x6hZYX0cdjx3b13cv/arD1Vr1lwGbyVcbVNakWnTHwxcJoOyrbX+tQXGtdk0Pen364LkeK/XVRhc36WyD9rKhbqUalaJm4+PqgoHgR9dznjQwsh3pX3W8ZBVu29ZFNlCRk5SNBjp56jt7VkwrVSyrqqbY12VNMO3jkeZ08Dm1e9ZBuxI10PYetHdCkRyZPh2fM0sUMErhQtGJpRKEy4s/tMyT7BrbWSgkd94x/w/FWfEHGMTgDs8OGBAaZEBS9YZAunsYTPp6hvh+9D+0NAFzHr9ioyJDqqK8ZI63n9tdddPkb+eiqneNnGkIcwKgPFftQrrQk9V/AGc8j59CF30J0JfZLFoFvuhuhKh1efCgMlqbpt4ptGXPkgsXYpFkaQW94EI3KL/EApVLLQzOjx5pjn1PdUDerP3Qm6hRJ2MUlJFkdsl71zg9731Sw/CSugVktoLMzr9VoYD5y75bt4wCzEG7gTbD4jHrkK5fOdIfiX8TY2Lw6fnph8t5/Q0l6lnxWpLqiMrtNqDyg4BlV0nwHG16JYw6bqmElP9NrW0A+FxHAV7qgnRNN79gAYi8mBAFy95HWeCiGBblNKgqwDJLs9izCJekSASWKCGWTGha0PC3n7yHf3v3W9rr/63Ew60OvCkVG0UMXPNVxn9WknvTytag109sRTvVpKej6wCF6wHGkoqYREIMUwBiLKLsrrBM5ZhBEfxnEmylHC/EcJrBVzy2GYWxAqMWiGJ8WvcrM6Qw5afH+ZKMtg5buUHme1LA2twp9ZGVuqXjLUGzCHmu6/lsPr08sj5eTK9QyeUMqbavACvgnvE6t5gYS9PU1l8GUkgVxDygxIqcXWNcO0H+J6K3P5kEp8rbWmuWWCc4i00Ue9xs95VPrXstv5FK6zXU6i8W751LGVFZVg/LycF+kpRUpXrqbR5PsJqsXoI5MRb2L5V4rOYlAnAqo6XLUZ2CdU96gfKHjIUpFUVb5oSE8mOTgTZFctXHy4KCB0F4jbuVZEjMtNqLKWs5u4ZTgTlsf7v7oTuF16MkD+7GaaiyhgYMHRDw9ksg4O3oCHg7DAHCOhhfJtOn9graxJg1lgtoNdJgFFTufbXbbqUcBMbRhaG++937oGuhvZil0bGCH1N8uGb2pwMa2OgQJ49h+8ekcGEl2quKnum+wmwbRMzV93rrhTdZTayPsHfQ2KKiOuJ0s6Wa4LJ7/Ldo333EQ6nograSrFmcr8UYNKiwu4GWibGx4Rz5gIi8DayZj8fPH4COQLPG6vBUfT3JwfM+g4Ie1pu7j00h2hyUY1nCVNiuUYjJqF8xXgNpD5LD/WQBikAABMyptFoSCKjfjgp1WXj2hfptO9RUfCon22ZXQ0etjnqUPJOQTyI3CIf5DSRaROey7zJugNIBJeGnPopeBw4syDeNC8Vo9QzSNiUw5Xc+bAkNoYTDzKet6PhRRFJJ4GMaK6y5qGEphlZlwkwG364fEmitZFH7TWH1tNdbSZ7D4DDuDyeVT19XPn1T+fSHqqevK/t9bfabxH60g8cnlU/NbyO2aRezM7rPcukLQ+Tq9nKKi+CA8QRbmxOAIsvTt2UuMlbfE6uQU7Py4dx5QRSukgnvSCZM8jqUARN+X176LQYV2fVXfipNhrnsVm6aV1QtPltS3jttx386eHUCNPS/ePevjuDBifbg5FDMDEzoklflsciCg1J+dNKO/PnV7DRHEqbwi4TmmmWg72f1SE2Az7ECS0+sAlIRhdT7yRH8fI0/D+j3a4nSLdaulbB2t+Ma5H3P2XfXm98H0f2I3iTzaHy4G6Bd/9nHO9AM5RAvy/cF2aCulz4Noswt5ggadm+xLoFV9K9YL8SNdjx5RWTpXbKQARkdTr7PsU+lju00snfbkt/ji+EeYJFFnSX+4ZEt6zw/JvI/zq+sn/k4XCVCn+30f0xn+QpoaM/XApOtQ8vBrHJsWr0Y2M/h9x047WPAwkfw3e6gW1EiopevsF7viHVXIaMBRLkIHEAftsMBRs2AvbcM5zhlK+NJYjwxZuCbhEAzIO2IhPcR7+xQn0knl1cX5BWGzh3THAi2SnKfqtyDTuecpc36PALZrcbL9jEOBDr7Tcda32p3KsDR5PavRba/1W89qMS2LmjXBmn326Hp8nms61CGtU83wphtvc+6rj2j4yqkAXvjpeuorfzZWOu2xErjxhM8ABAP9j8LkEhtO596XErodyjXl2Aq5vYIw+an/LRPDDcDd/FyWOM2SXbJnPHdtxic9Ji7o37BSmmTxMEff2fRQPD6UnkdRk8XzTEVA1YiuVosprMRVoB3pFD8+YowES1vz0setc54lmdZr169qh7UHEd8g5ZkWLYc+o76pmZM0b146X3eYszENTw8uxjFmjR6LI9yO/oot3IUJwL1AuyWKejWFxUR6QOootil+Co7v4zu/MBPHy68ndeWQtJ7+6MAvShk8YPxOIw2zNVKUPKqdziYg+7ajQDJ3EkzPPQsveqE48Is5dwTj0KFAPAREKz19p1sxY2gxZphb10Q3MYKCzpnGb4ehfbkWYrC48R8XBDo5Vk0SMarxSnbMkL2eLJxe3F5NXNH4oS8s386GfnPzO2/am7Ev2Rxs+d8vMuffx4+G6M1VTK+vrg4NZ5sZlFNsDAAL16wHfMDLkBKXEG2QT9i0LsTX7gXN+ttOvfi2/NRdnCtP8lnI4+QlUYAWTL/lC78v47jOM+7E+9hI9uceWFSsQiDBtD6k+uMeRrw8z38o71IXre1NroU3/zZT2HwUfrnXUl2y+KdD3xw4w8+LzQ5QOtPiazAr+GEISNo3RU5YRFUZO3vxwzUZZEfxhsnqxpH22FPozDssZc384bRaaPy8037+ab+fFN/vqk/g9WfX5MbA9aR3fDbJkAsjjSdYqeVY400qWKn4itypQTBbeLFY+pI5W6fWFVyFlNNW75h8apcY3OACl7VrRrxOldKLj0WjqVNVXZcJv6xSV/uqckKdemfH1or2nfTQPLupHoeszBZerH0OFWv1ZCxqnt+Op1X0xLmZ7cLL+l3ytpNj8t7blDmRDrhHL73qwtAPRsv/9emIT5XBbGfoN3jto4TDQetIUava2CvluGan/9m2oskmsRpqddvKvU3lforUakf36P4dI6aby7LL+iy/Ipdid88feN6+giWb6rhP49q+M0v880v88X8Mt90+m86vf7om07/zVX5zVX5zVUptcpz/P1LtKm5wHVwWY/ECzyUvipL0w4j17PTyiX8AnU9OCDQdhtED1RbC+HTC++pVFCt2IecVd9aH6q3mmHbCn2wqlIfLHRBiAYIEU0pH1ZCKUbTZubpQ1NSLsxVXTwloFT1QNZEFyNmccpaWTzCX960GuAmIwYzMjg5igkTmdalRZNRONVmpE1YfN2F/IbMZNa8om0cd8VG5zitkI7W+XAmq7flOtfOweRuSXfVDFWunjPpyFLU+YACOfVcU2JWHELxAkfqI/EC77yB9nnCrEKqr19tbiKygfK0dKBHyGysywcanOPTC7kVCUGPn+OjQ9ltt1ZgDk67Gwve3ilwQ4vJJtmdKquq18idbasIb1hJ2UV2p9Vu1WuaW7N5XW3ZQVexzubWnBoNKw5rjFt1oW3zZfFycOvCC8etTttrFTGfUK9rPP4SYglzMUTd8jUUR6+vLK316xVrOvVdx9GvjmrE+WNUYjZxTkVL20syA1RapWVerYC1lZkwwKgY9oatviA9j3KTQneZVIfZfS9auIR2+4il4pjjS/w6sTYcahizD6pgcZ4HnT0aF+uEVsvDVfX5uwvRXIBSQf7HlaJjI75hLZ/UKKu1qKqLgO9hT3Fz6nlZU3VGabX1WWmq1hhklTaWN8DI0pYEqwIWjSx9Fp0slNwTYZR4MLX+PZdIg/kRFmtwHYplwHYRSKNTeJyl3nv62UsAVtwRlm1sZ5u1nBy7fvLJTioCR2CcgMXHWeinkySPBNl4m66ft032wne8MBlnsksQdlns2as4yrZ2lvn1RWjawProhW4Uz8JltCdMGxZmIFwRrthWdr3NLdXGPXlHIJCaU39C1jaPM+VwGwXDCRhleCtyd/B9hcL8u+7IFw0dzhH2UptD9+4MfhJtA052A3s0iHYAp882bOWNQFxJtEzvGVB8TbEsY0Ewkqa9cA59tWbJuo++CEqJ8ynJNi/RKUI8WOytX6m2mjjdjftjA1LbywaPpLMUyih3qZllYOtGq1GIbWXZT9GvfHdERb/FHTC8wq6cYgPKitQTLneTj+ESPRE+RQUEp1G49FdZjFWxRjGXO/ROWCEFIbQ82HAfrDsGmgQ9XSoWotFxwjgkvUxIkePD3eEbpgbCk3E1kn5NDrZgoscVzCa0Pl69P63T8fWp9CXPOlyPjeEzbwm6Ondx1s0ar56hidZbzQJx9g5AtPV+7PLnEgdDyama8s/4QgK4VeuIv2n1cBpc83SAXkBphz0Qnbx6jEaW8JKYHtrz/vIBgEKBKrQ1v/E636pJoRvXS4D9tJnJTOOH4UvnqhnHcgBj7moITrYW7q6+k4EWZX08u60VQKIrW1vVvKsu1dFMz0LuRWed4ES0A3hVckgzPYQNa4MK5KIC3VqHt3B0KJV8sDfogiAuI5uhAxGjhtOoBYFOMgerEy+zICeSlhngpTRtyO6y9dbjG+cEo/ibbFO8jqdlqm2+hC0pm/D4CWagxuoyB21Zus+Gnx/bsG6wlBsyEIFVgM5Tr3xlon4ZWx3YqjgvS2Ged3i/5REeT4PqSYf+YT/4aeQWaursCa8Uutxxc+ltFCMNusWY86RZoJhLXliyWDvLUuoI2MbCa4R2X85XtOPIN0JDV4FxNZJLXVTY3YCsWMbpBs8GqaitAVgL/vXBMTQzye5Up91OrEtqHB8Xy7p7VrFL6ULBCulevEnK8OoUEOUl+kWnggS3sApI820csnMzmpm+hp0ZA+cCyqaLxoQaUStgfXYrodK7n1hTo0uLXxmLKBP+OPQ8Mj9MKIyFVuyT93BMYYvkFRWf5bukBEJ30XQGp9WS6Mh/+IfXEXQtHWvKmFQCKsU7hxSdyYLT+D26TrQK/YSFqab/eztWdE/hnvWSCCzvoX2mpSCwBplyus3mfhjWOHW7yZXFILlCxbE5EALy0/mtteXAFBTDfcSNs81s0esARv9+ZpSXF2yNKoUG7YR4SLxzqNT2J8/iAbomgxzwS5UPsDL9gfuA/lbnYAL6DjRLyBhUT2k8jXByCaJ1iUAgfVCYQxCtSIbkD32839TxXe7sJs1tdjnhnlFYt8sb68XCx0ulWOhFmQ7rJd40dXyzjj2GpesPjWU8NCGWcyoA7Gt6rynt0BXvAIRUFN8kBWO54izw1N0C9fQ+LEjeDIYXWG+gHQSm+wGQuOyHU428URu7EDaqQBPMX5K1vpQaaKVFfZnSorTfW76/wgHC4amlgoaNF4mskj+E/XHpWOys/dQjB2wfpkdc6225gmedf2abLa4gbpSff3p7ZE2vL1uWAX3wGjX1imW5yuv351hpvRushhtWeJOEF9uw50LXryoI3QGSLF+OrillS2LnPGureHAsTRmdoLFPK84j4ms1GA2QEfQzyS21ihmdDSnHWzf5qpS0Ei920c9wZo+lnyFAFcoZzEmbS0/lTHO8ySHkmFqnZcAeTSurEMqdPFZFRaceyzrlVisi0gEivvTxmmIhkDTgpWjq66u94LL+KnK9M3XP+DCnodSpBXBHShMNXWv28oMpf1mSRI5PIhivdVIeVNMhVedFFTsUDx8fTOFyn8Nejnm4exfYJxraOc3vbYc0UrdiOy2aXYfnSNzNLh2U/LDMVAJzoUJmHuhJ+uSPAE5lWuq0p4bGiNYKDYFyGCzyJGoQFVVuudZSrQ4Jpa63y9O/8Y/oIC2sy2js3MCn4uhGBaa0hWH3ZQiD8AEHuWJRuh2vht77eliVKsisNRiWoYVbBrnwjWgVDbA2PHc/t+gIiPaZ7r3rCM7Yvt5lFiz9IJAslCs0hofXenFzfXt+qBFZnaPX4sdIPj83efF+erE4P2zxF8nzvTyMc7BkK9+6WL1VV0otbXpd3Shps75QuKIT/3LIaqTaWM5NwizeSxg1orPD3liNbhVjkVgvnChDZf1QxvzznS18MOVlcT/RYH+B9CQXjwtI6g1vbWMPgOId3p8pL2nz3Il14YefBNWCaZw7l3VU4y1uSKEMKDiJeHfyv6WNWdxBy6U3Ws1iPzYtahH7ZsxL7KD8CK24v6etVKn3XtH4tDEctWr5/PDPYEu9ryno0SvsATUre8vStiiFSlIFckkHNa6kydcianIsbY1HLdIpBxdc3A1cSmjha+qvQqKM76R8AJkBxCXMHF8K7sa8gB5XyZvWvXJz+ny/kDlKeX90aTLtJMkWRLgvDksMm2RDN0jS16jdRWB0Y1UCoWxnoSPldxilE2u2tHzqFgUhoOEGluaIP9JlDvpdO/VrQtZz7d+MsvZqT9aXnd1FWWpdsAfYDN8IVhb4RfFCYtajieXnYJIIMEzRoY2O0sdO5zU0oF3J9Y0E2kkA//TL06iUCArF/VAmu8S8JbGsGCgjO5cC4FQxtjbJObK4QEwz4NpadwjFqgw/UffYkSfsRlttiuNJ1lEWuCSXAi6WcK8orIjZQga5S890gOSO0Shp5ERBUohvIec7KDTGCcnHcHn+OT3dVsx+Tw+xv939UHwg74XkJp0dLe0cr738etJRlmcswurXyfehc6v299GNiQ1wGw7tHkpdVzVg5P2yLDQ1OhtNVA7nHX1fJ6qPTElZ2sqNTVxDOd/Oie/QMKBEfs53TKQ2aGzXwGxalzrbzQXXyck/SECLGkWbHdCb0TRVpMBvhcfBayXDXEU9+Tq0qmctJvEAzUvniKhW+6rmDZrRm/4zerP3jBpEjXnwVJ5QT16XmxZW3LpRrLNfIJ0ZOqi6NyeqnRahRVbD1YX9pvvRXin+SfCOMShFn+JO7gg+f0G+DbC6jnTdZxskR1bkZq+PaMuh/397ZG0TL3Oj43tA8uEEmT6NthzgfDjBocWJ8j/1VZIy55MQEyy4Zw8JrrgIKnYnwvV6Dx2b3Sdk494ZKT7k2JQ3k+NsPDoJU56FomuNm8HU76geBPyrFDRNoobKY4klKDzGVSg8wiUpPCqoBAWlQD7SVi7XGu/R4oSdZ58wO+zGEt0UpfOuS3223qI5AMXPeJDGnvlg4yXrGub/GFCCRLZ3Wg/vZVafzVM1uvc5rcgkrTKCBqUltGfUdpOQCOZ7YQHM5nVAwlew5njAwl02g0CuV/kGQ34hAj3yXJYK1Ukr+Gb/NQoH3vrsb8rpXN2qiYCqxMp27eA5/xIl6TXomV7TpNHH5IdsUFoB/oUw0jrqT5p1QM/I95br3BVc1ik9qA5eal2lwgyG+K+pN/kjS531WbSqZQuKz7NdDzaYYbTBnNEyPyQ/BNMl2MtA7B/iKUhv+etaxQ5VODSdaGB2FBO920DhvvwxTiKLmzWUX95DaePZs6k4f6RUH577IJJ13Exm7GG2saq7gMd0VSevYneo9XP6oa1Z6yJzd19jXfUjt2FKWcGcJlcd6GoT0XUZdOfDWwBzgyXKyeLzPmN0WDkD5Op97UzNhewT/RPFNrRjQe4R2LDP++OIff5V4+geRZEbtVVwqQ483/wM7HG7xdKWH7LSTtQuqSrtQND2f/bRmTnS+bh5emgo8noI+x0fU6yEPDgP6o2sGEbrRUoLI3w6XcdRtloDiRghDQASQEI0YiUeLKcryEyjIwRKlACQUMM358eAOu+I4DKf34Bye2SxFVDBCh9ieodjlkTm7adXbWfHAygs8NjyqfCEY5mWlLDyExkjQrgjK8/0kRVtDu5c4kheRnqUC8cn+d3OLaxedBeDOAB7sBJ3vRyaJvKquOMP0Sic8IdoUbFDXdDGxLekavlTwwo1BfX1AMvU12pqNCz3Rshbs4j+nhGhlrSBge4/eSlXrMAwjP1qTXYPuI37OUZgoiLoQZQkNp30FKE2q1Z3AJX3aGGPFvU4lHxrLq6aFK6umtQR9Ww7VaH18ygK9gjMVhNloqJk4QSiTlFNsfpDZ0OyFAeTDyH8jsRITLg3wErHzDuPc9Y24h4uEybZMc2ZijhykeS7sXVHkcZYsx4Honk1E5gXNh2E7DWZgD3hXKo939Kjv99JSy4ML17nPsWSUNQVAU08FsKFm7S1/aPsCu4yGd5CIXblEBbfmFHbniSDwfoeAJkiRYJEm6aqoq2DQTHIFNi1Ybriccfj2GPfdXFPhk0+C49R6A7eTOu9frAsqfFgpxdGpQefi09WytnJax1i6Xh+WDvwdFxlfUfy6IrXQMx7dh4qUahrazxioBVDlSXTN2m/VI3qzYPA3fhUYN7CndJ6cXlzeyjWWMKvwdyDJnse/CbeCrmOtg97qDNNJkAM9kRWn2mNLqve/Opk1ZvOdAFb2oCc/px+YcMx8vgLo+ciShj2+XgaHatjZHU+jcQKNjwiUx1RG/2Yx3FkdRr2nG53kCAunVUbK1sXrr7faXVTWAju3MM3h9PZ2bX14hQ0hyRApYLi34/Pog1AZ6HHmZIw8xUxkc3XxjL2j367RiFaSKmaNmovPQ5HzVlp2aDUD197UiTJNvQwo6OoefK/XLq/GWeGfRIVuijgohE6C+7BUGo9SmpAk+hDVypbpq9BvBci3LWzHZbpXoraP/vldG69OON5tBYelFinRv6KFPN6yD5MUIxOQfp+wv/de/G1LnvMHrlXxWD0LSmsi8zdW7Vw2M3EuuQAyrKgqmqmFHk6xZEQ/ShkrgoaR9QcIIAHxCl5oM8d9Rghzu/9xHsEohiSUR0wVkioBsravT3GVGsPLJnadwEP8WnICEJn59gqAhpnaq/hkQ+IZW3zrdUgpKbbrEf08w3l49rmPjhQq8DpyaBJFdDRGJ+irU8eqdIpPgWNXln0QgVzlnbrCuVg/O25Ir6jFN1Riu1o3tX5g3JUR/BarVGPeDSdjLtsDDVWt057E7zCjouGcoVbJXdyArsw4v00caMEOjOGVcLHtEdLYqhFpgRvBuDrTW98VWn+tJGYKOM4M2dUktU9cfamyghtFt09LaWPwd6HspVF+NoOZTWXt7Qmm6Vcfd7JZ1scuvTP/6o+8upjjsvzHuN4i88U5phjwUyuMguV+BSYjovQoXzcl5irOK5+0rn+Jeo0rT9EnaaA5y5mKOGyDHUOq65KtUNdVXMCZUKzdOpq77QK60ewS2q0pDoZ4mbatatDREiu+ddFbpAixB/z3KU8ET5XffMIAVg1LkLqvCt7RidcVUclVEUknN3m0FT552g6457+Vi3SwmFB/xLRHVYJD+28KUrvVKhpMU+AcnmyBLzNr7OtClWCD+yg6trexhVAC4XaCnooBXIwAulJ8AoT5QjYMzC1V7ScmYDau+awvq3AFtpjGcaKT0hSb4snwilr9gU9Ql2Ima6d7Cm7zIycIkl6zFkLUpQ5+JI9+DVyhgHI21EpK56TLE8CjW0KHV4kD8takoysyWWiJidJOil5VUODA+tA/NJa/CHQ7rSuK/BLRFhV4b+2GMK1J3TspALd5nJUoN9wmajrZ6XWyiWzBlWudkvF3leRaKoSqtZnwmXDY+zQSpzX7clYvlrRzAdZtsLwng2n+TjHup4lQxhmy6XEvh/utEqDlCmUwwQQipkWqic/SU11wt/YaLkeihaCpgIhDXsm5gzfPdibKPboWM6OQs8mkaoS8/odlOJNC0Huet0ynu3IhH8xwILJqLywUIYhCNEidsAFjK0Tv8qNLE5SK6KCOddmzi5qTFfvx6pHKtb5JiIZ/2y4QGJCwNVx1VlMBhgIClG8muRTMtJ6C5oqF9HM1/EgkULnQFvnujWsF/U1S/WLx57PEiEw3RnSYVlStiAaLDyFsANqeqBhuVDi9TGqYgHlYSR0+Jx2BgWRxHp16P0qZg76/u1UfI/niXgAEZXjoLuFE8pgfNGJFkghx7K0sdS9GEqRatetY7wLZoOF4N3HgF94orRRCnPRb77Awj88/l1CEhhlw+UqFCbJp61ZV3RanoV4iYwDq4QnyhgLTO6/RE9HTTLSyPL40oi5+ad40uRTTWGZPooiBEdWd9Qwg5K0nmWRM3XR2pI5mBTGi1+Q9ucFItc4wl0HsMICEzd8fK1TjjGsqBSlKv4uN236KxqcwZ4Pnwl4uss2g+uSNNo+OrvhIKPx2QgQj8lgNLe9eIs4Suvxn5i3TtcYxiqSgp8Nh3GoALz32vlsO589gpEzZr6ddIATaWh2MpbyvXqflIj4amGdSR3Q0CnN8+wzOs5Cojx7X3tjvG6VV/uoOp1hK0ukwszXcsoAEi3+usAURlMqHYXELCjliLoQpknlKIyK5wN+jI6FLUXoUC4GHLzNDnq6ZMSiVxtBRVYwDYGaBDveRNHj15xw+LzxkHgxlpS0jRT5/r51oGpF0ebdI2IAIwdf83aa4ZXGJicKWsqshO4naj3QcFIjCm9jf5ql6yje6+q10i5QcOXS+b4chgpNR6HHb2Nh1u31TApDPbQFOH92fvPeun5/ar3515/eWv/x03/WSEGQB9W3nzbJPtXIguECmdLYBcy65VhHSVvpAwMC/H60wdFo7jM4RfmPMXgNVZ3KPvZIDtTJipQi3HsyH0AmoCSpbfCqaBHsapCMgBoIp27/5AXL+uBNlDgro6hFZDGTy/LB2riyGozpHpTSXo7VpBT4vuN89WH+knnl0tRN41CDAQMtY7aqqqbZNJZs03O46gMzUdH3zAN7JBiZ3EXEIBhQeeVg7/M2SrjJwpQ7sUIqxr7tFLiwlexytq1GnKp3lvdscGXoU/nrawCaTul0FfMFYFePRr6nmlb5JLn+qWaJRQS7FHbLa4ZL7bkyqKT2nCyv057HaLl8LYVJo1fdErsZGaJGYHEOOSVfAAG0K6ljVPDHSJTLCOz0CL+dS2fp6Ec1UWhcwyGPYS154YF2X6RUPT0A30kqstrVOcb+yT2/VNT4FxvaRmEl9yE3C2n9zksO/cCIYKZ3JRBRzD4FHkaDyA9J2dHW/vxmMbN+t7Cu3n88nr2fWq9e/wslAvHk6A9ZugK2WGnLLwpu4ttZCIxpvtV6liuiLKnoDn0oQpaIYgy+KF04N4ajMebGGEbHLMlkAFk+KQvsOZBk1r9MTnBRzDmRxAUwSnUtxFrQbVYsTRkwR/EKOx4HDs/u177D05t0anuEYGeR6x4JdNh6NFvVh75AUv2Hdw+ppz4rv5EjNXXeBOF3cqKB8Ebhja5+VK7s1snTZ4Zy6P4+3quPxTsw60EsSCQHLhg+Olto0mWs9EurNrkhXDrfpOQzk5J0hlqSk0emU6wgDTVaQrk4Op/v6MKrLGErnBwL8Qr32g+2HvtU8QG/T6i5E+Obmn5cP/nU3Iv2RWUfhozBt3jDCkygXtzUfVQSa42ftfVWxHIjhtuw24bZZqw2Y7TwNoS51ctt7X2l9Obvm2S48UVlHzo5LIBv2cqreM+JwXz/bScwD0ewlr2WN/XMDkkAOoS0XHL2CxyWfNs4v22cgsv+eTdO73OHjbPio6qNs/6z+t6+iW9TfJ9mMZa8QZMUVvHZSG+HgLMcDp2YIB73CEDNkN66GRIyFiHbJusofTZz42Bh6KiArGJLqpnRtbcDQXwTPbs5ScAGzerC2aiJJI8cKR2p+0mxYiTM6MEJjGuXFLx1+QtapkQXb3CXOPlqGWMWoshvglGxM2ase0GlqRceFGTbEfSGKPaBQJeDtLuAa6dR9THz4KjsPcEXfXeeBRdo9lK/X6B1Fh3CjwZOwymEEH3Y8iad57P2WNe1qA+7Hgi8CJ3uDKuKOe0IcEvs8kCo9fjjzqDz77oC3hgKOhDsPJyzL62T3qVZXr2IvpNZuRfxl01DyQSaftZzykJfIdcDW3Vdtu6a2MAJGwNgeFBRiWqbHWksdiJ29q7T6qB+DZ1QUYXqPJWYFBXcTmg2nSfTTfMaOJ0K7anThCovsNqOU3ZIK7qh1xgqlAzgVYi4foj3FWf8gq4VpfwIyCmiJOI5X3qBluJNXaVI4fFKDtVY58aEP+Tlh7hhrhUj4iX7ipc9Sn1+Ptzcf8LiP03XttUnElVe9SqONhuuZCsipn/+adWdcZ1dbVMVg6B47y7w5gV6GhRdQlEk3mYL9ICRmnlhXOoNnUZURoP6EM+JkejwV4GlvBE5dPrdoUaRitrQlK4+Sj+x72M/pZtnWPiAXo1emXyzVAvSVFVu+XXhxtV2VXPRFhsjQBAQj19pf3N9e36IPhIBk/XCn3gTaOpHVET3Jb4zY5zpM6b3ee8FFPTMlpjaZnx9OIF+XryfXixgmCgMHpq61mkSq81hiKoMIuXcL9IKjEjsQdOnL8Sc+5P2RkVK7VdrI4+81zmb6hrKDAwjvNYMMEJv6OX06oOyiQVMhC83c/KiatDJZa0lLUOO9qhFa8R0VQ3+CD7acGkHzqb0bFt+tNwoXtXC2vJJdgmFaxTMRrgVCZ76QLC2+zAJGfAEccvKsLaHfuWNc0LKL5M04Gl1cO4R0vUBo0QXXgxK1X48UvAc8aKfWPDTwRqVD4WQ37/yDxMauMErOfaOpIrmOKaeWbudiMtPxJmQNJIjnEeUp2mj1ocP0NLHOr61yTOJjd9xN82gqqypSGdINCTz3eGlKK6qxLhAd3QswNQIQ96OzjBlQMhvY1M1BTghRWIMeiKBHhp55VZJ+JevJK4JpuQ4QdQ9HUrEQj1TlIA03Ni5xK/KM+i049WaWBiCV7OZmTJI7l3armXOr7SFCIa5vZ5xa0gTkodFtErEGF3mKkOoI1il+NRjtbUcHKI1Qglkc8HTGbMFKdkDr11FoYYCDhvZf2jyGWtCGM7Xog6hCo36ZvAoCP168AktSU3BfHr6XCL1kxeaWbmKlFWlUKWY8T/eVNj3XPOTK3LEqxCBymwIFOsFjYMfxhFVREKlW+uyXLijeq/8wiuea1C2rsTb5a2uQkpL1YcKNMno9jqzTkvj1qa0iVyeq5UlUvO+xEcPdHS0jDr7tlrkaJtRXK+yIBQEko8tprKUbHL+OQU6w7OyL2RQA9aPC5dgeBKmPY3mHiZZHXouQX9393LCjY2cjYDoy+NmDMekPsF83WmHlhPt6EnxCoTcykvtHFEtMv50oL7404EuGrC2p2B3lS2jfCUtfL8x6Gww7Jc6cVRALt+PA3hLLo6oJDxa6cTK0sLlmDcjMaKi4DAlncgyBPJC13BZzBMZl7Xw70mqMn/UZ19fjDmsqjygbWjwjWxM1TcFE0rLEmvI1ftkGo82YbR8F1NRlHsIk1kPAdtBvmpnO9wljkXusKDmmvSkXfQJGw6LOxldOPPFfu8Hnohw3u/AqLo/zc9IxT0S/qrAh+pYR8yBjowcUZk5L1XKbybUrlI+u61BVuL/1cNKDWK4piA//LSaHRbwBuWbjKj9K6xkDj8Hqtm5SJfMJw9A8ZtBt2NQDeI1FvMQ2KOu8mM0bpdevV8cWaez94vDnmzF5/Xh7s+gu49JA6UeNSqI6N1T0QFVHh6DFmTxjmQYTXRgxJ/x/swxV6HYobYI/K7OsdfgyPJ8OhvC8xgLr50K0KL9hBsCU7dZSKtLpiQmWnrFEzFy0puRd24mQWjcgmt95MjJwMjuPepH24CllOCttNeqpZhYU+zPzI/m0kKaktKbAJurR7n3n7yHY14Fa8v8WHymRXWmGhi6h6oWIK0CtAFbqyna0X9PXbgbtud9XqJMsoRa3r95fXY5bYW0U6XX07XnfEqyzVhBFbr/h91hSTMeSJ5gYSdYSBEYzgvkOmLwkicAfUVWEuGhqKzdajXYdyxYYbWL9abPHmSGuqsuVG0FnvwsAqsEnObNXmOdu8FOePz69Q/lZz++LT1781P5ux9PZBTFmiW9incot525SJQkLX02OWbkiYx0euleNvWRclcJy0Me3slUbDD9dZqDUZegVvbb4Bf3s83eu0n1QbHKKOIF16JlSpLNx/Es3BWWzNnjFgIDgiuVLoQeRWOoFqnd/07Rj4VrRPsMJ6se9hlvLisldh7QDDvkFNKLlpUwETLTXDvUM5unKXYdL7Y5OfRVaFV7i7fXKCw1X4tqgBsK1uCcoW+FJuBaGcrRJQ/75Ju/N4Xfsfn7ztxejy0X9C0tr42Cunas8Fvu85RVNQy3pG4JlFEpnjKSEMf5F/iLKoGSINMAop46EP0TYNNPIuP3X5zo3oyHi9m98Xvnmj3s1m7x92fzwcaVScpY8hAnP0zVvJHXWUndlwwGTXXK6/T1ES0IVMzKfN4bpuvp5UBojJwMGGs4LNKG6o0Fof6EK2FT75H3qbqSNrW8La4sEttwIc+ZbGVe8DqiXggPorDSTqgPuCzAafZp6X0K638NHcY74JFYP3tDgw2aoGszv5G717z2CsG5SjSX6B+iTh46/ba1Gg0Eb1kru/W1q/763WBK8YAVmQnF2pW9y2QW7c/CfWt8VFHWEuv7oOcRGALGWXmJHmJbKZrljfbkp20q5F+pE/ICm1OtvuZw3bCqWmcNrntX1a2vBNqgBTeuV/2ORN2elB+9Lj96U0/xX+amS4PVBLwVV/teLSr44tudl9/uvOwgvbvM58kuwKwqQdxlUhWCr8bc9NL7KP6kBJBxJtgglY7MyHS5axEj6lUkrs8vrFevTgZMc0Cl5UXP6sr5ijm6BVNbXLlVidi7tvJV8kRV5q8WNUXmS1RrFpm/WvAa8/RtbcWUxH7KKvMc7i9SZB7R8RxrzANKzNLqCGi/yuqKFL/aAvPPGwlCK7H9clWW7padFtQRFiQ5sIS42pKEoQNMqs1boeisYWZVEurS8aPtr+QqjA3OZdYL/yb6L09nH+bahROWyIVuoZZcN/0QV7hQm28TUMdAZNlje+Uv5DTLgVJSiQ9WLBhLHm0Rj8vTValZMrGsqRVE9/LqNC0ZDmNHWBygTM4nMOJ9A5Ix2HIJAi59+BBPAddT8et3cZRVrFW9b+ECGRkDts5uE4Ee9AbkR75KF+MIQ3JRnxmqjcCfjFiVLcZyKdCcFVQf3exXOMcqSfIzSAY8rfnob4Ti5oyRImQ62D/OLnOxUKqWjiJHXL2E4kb7VkzFYVuuOYpsUIziTtWtTXcAANmodQJm529swkQPCXPm4w+qnhHFSlN1/eXSw4oGIvxV3qEyu+xTSqsqyrs9301GP7agrIwsjR4q0TaEUzpuU7/fbcc6CayNN6gqvu9kSRptco8wM+IwipElmJlL2KBc37sHwX+Uv1scrYnOehWvl4EWQ8IrKkw+mXuZ46KQWWW6diuw8Kgl7/E0mzZajNUbkSRoTMIaBTSiC4O0mEcjivKIuV76PCjCYXEsNSP3IWQbKmCv3HCi0ATffyRqYniPGbv8MFTeAGT6THYs9nl2CYupxBk/1kNs45V7XCV74Hdb3F5fcItN80dwtNp4KclE63ZRcf34gfbtAT9l5e9w51QqFbujZ6Q33cMaTkaNEBIr3Dt0ktNHI/1VU56hFlbQYKuTKsdZX6BxuUh1p9WUp+FuhUpdy0ztDDVRJ/G4anwV6Qqgh/oLgPBPXQJUP3UXTzDEvbND5y8qi8i4aYoYVcLEDNVvWbVeE22bXpPKNpZ2NpxYGwi1Wg1TF73U60C9ldSn15ja6PHTbltZ86ZBRarbEmpkfnFzV4vUe1sXdIoWIIWOd4W7tKPXzqBuj26dQxVv9WQV4YGfR/GoHCO9O3LXo1LSGP2pZSlplz3lAXnikON0W8MjfePUUNLopa0JCHPkfMwWf8jQbIGLH/LsAOWy6whI72PTG63CE/6+PTN/L05v5IOqi/UanTpyMgi6cGgORSV0oWe89goxXlQVPuJQMZk5l987DLtLdC9u2POMNOCeLsU8y0kwzZgMo50tS96hU2VpQEu8qv2HI75kMJcbwLeyukLdxrM1uD9fhXqPjsCATgpFhm6mhT5qZwe5JVW84sLknTQxqZwNbPHOuqidDplV9ZnZM8iXKyUkXy2K+XIaJXZLnbtadMieq/TRMxnR13HaFakoKXrcw5VNdZTqagKYvujlEnWGOy+990TZhYAlKR765+G3pLNtmCO1Xl2JBxOLG3ZxoRWQgSeudr8TZWLuBFHpJ27VgrZSTAZeuNK19YZp5QdMI41NArRmaFnoqmLa0n5uBGCIq+wq+dou67ha/Lrv6qi8ClCsO4fKc82bOzQ2qroKsBnuAcqQeddFwpouuSi+Ld5uUfO+tv1XfAleh/syKhgB/zo6+WF32Wocig6z0IsnvN6N7Q64brYisYpL7n7npr66MzrxNfuq+ng0CWzYf0QY0FY/a+42mDxRJo9mMfypNTMOT6BdFrvDuaPUg3iYF4kQC2NTeCxMEqvJlm8Cb1TWeROSEMuAtZVU0OanYfoO1HoPFMQ7YIFs22t43sQMrx8KhoNqKoNFB0GfpuUD8WY8GNvD+5ubK6mtDoJFhqIBiWN+JQmAJOil9d6gGeqb9rrWnbW4mIraGqEkBOR6XlVq1+E4RMG92JtUSz3gw/NwjXTl1guUO2h177tShRosS1Q/vY9JSRdHzUj20LbHPTZ/rzLQEkD/U2FibnSP/XoVmSxNASbQCh2Ej5DY9f3J65++N5/8ePK68OSk8Lv4/sfi96+KDUoPik3eFL/4ofjgx+KDk1flXsuNKlqpR9m2/1qAfKtbiU4xLt+WQm+VLwWoTCXne+M6hNwYfBy2MC/slGUCVUhy4LNewJ68tVx/BQD7TXRTI1flqONoagUpncPfJtXrtnzx2pJ33VPoPumWLSwS+CFVtrjDs2z4vA9CLz78PD4Dnn64Wtxenl8bD//4y4eL88X04tx4+vPtYnZ1vlhI9bdCl27FrNloAF1spcY4DmXI3rK4l9N9LrQVeWzLK3DSVfLouKBkck3raVm2LOsX+3p7OzvLfULCl+tReCAlC+V3yJMdJWB1AB9B1KaYUhHULOmXzz7NsEJn6ovr4RRbmGXJpRMUkNYFCHQF3oNh/6UAKVDgDRLVaQTq4DbNo/L3JL8Obpo9ahy0er1Y4k5EuLQqt6ynNPWanYTJejU5+a60Mqb9L5uT4JQB23nZej2lqAZzMKPwk72J3DoP4t802TUr1V3Rz3VO52a6Up7ucrpF8wX46AZHw5qtnvXip1evJyd/wFNUins5nFh/RG91nlsM3x+kqsEBz6zgXdE5NzfIMUiIlxGJMdDXEcfjgEUWWB8vpldYCgjja5w8bTqvdrsBW0/WlqWxLhE2UQRXXXbo5ncnwfB4z8YsxY8QvbAZUBRlJK1KcaB1QPR/0Ooqq7NIC2V18M/f6upm/Srljj+5PMKmlcckYBcm1myuIkX43TMbOQ95OKCOUpwgS/gNIcuYAXNkTopXQL44vZpBN9NLaxtkKz88PLK0g3DePIqdtYdbKQaf7nyefel9ZoB4z1p7ARZ82QIhKZco9eEvCbwcLEA2mJBuoNVC1qYE6p8XLDuiusDcvXd6QsK8WCyDilCouRZe4D5wyVFaXuGq/vJS76YZ28CZ8ojhnkhZGLNlkVBEnaCGifV7vEopEAkuMnwB2rveLs96gQXHstQY751Y0S6x/mbdxb678uAfG+bsAiD/v+F9SvAPWsj56Qz31B2osDGMEzxYuKvfUSiSAQdK8GSLEFJk0ScODfSAuOMvXBSfMRXIjOi2YJGb71k/w2+E7chocIzkyUEv4+GFoJHEOpuf/f74w8fFy4/zubVbQKfO+vCJaIlPc8LRbLzh+JrgZPi8q97y5vXvEU8lQiTclMmwCpScDKNC6cxaQiRfVX64n5+dA4i8UHeMNy2IEua82/wut/I6AZn8JeNp/RNLXMIHVIQH3kiSov0LJFg/EtWLN/7ykOct5K48OYLq+QZZ5B9//y+Fkn/8/b/bPWUVx+29Ys1raKSJSugdTa/wkCZaWikAOgtdFjoP/baKhAj/eAuci4qD7ARPi9aRW5IbeFfdkThiBYET0rZpbg9ACBKN/ExCBQ5OrAND6sHeDisReMsUFoE6hZ+xv1rj72Ldo8TjAdOAVljX3dXsVNROPpQhgDoQyAIJL/V2B3qGmCbNMiFRcshb+4m8Ui+/gk1SI25bFEKPEGIjAo2bDXl3PFiS5z5hTYqESJAno2/4kSTz6dx3F+IxpLzBjyebJXhSKAY8su64agXto1DMUXyeEDQECB/b4ismD7v5+PgNB1L/6Ejk62C/xfXkO76s0SZXHxaKkQ95jnvxzkNBe/Cu1JgjmcTxBlCNc7ycnkr1QnUypf/HPmB530kpjnN5yYGlkhzWJsPjem5w8Wy9DUgo/9hZ0xGFdTH9XQGsizcH7wyA7v0g4KDoTzWNRw8qQPQWgaQeq2ge7x6D1U1fnp9ezr+4xgEgIwp+Lsp5eA7zqHqMn1+8qfi48PACVsV4cI0r1E17AfIWG0bd5Q81MihPTipsfroCAyjlpoCq5ELsRO3Ex9pug0UBkYe52JmKEDMR+kBWEx6FU8CNpDupaCITYenAFUh7vFQkxpfSVY+1ax9zu6gyMUlHvgSKxJyKd3XG4j6FU0o2pVLLMaNjK6m4okBNxNw7FuApT2zP5h2WnYw9LWneUBsSo/CCHkWh5X/IQolFCwK+i6NstVY5rJ5pheAdIvk99hRWpEEPQiLvSQz6+58S5SCipOIVCRHck2I8aReXuOKn3uf0dOuKopMycGViXUWpxzcys3rcqYytF4kyWGdKBnOTpcRgBnmuXj4P8ox5G6w9SzuI56zDKIhWDzzu8MUvYFod4bXZDAc8srzUmRzqGhRtaEyCs+SKM5fh2BYvZabkGNT3V1hYCan74LdostErXJR/e/cfv02yu/z35D//94tXk8nV4X/8FpAIAxEqzVe/zZ8dTIgOlAeBCw0ez5aqCEkBItX+FdkzQAUe7euhtY7upXtOLJqfF1iQvru1mhHIgFDZn34CU6LHWCXzHUzlFH+cTOS/Xqt/vZnMaUIn4r+vxX/fTC5+ns0rzfwqUWBsBXhxRow358zmXQTlc+IYAn3DAoB8ALuQncZDgatsMxaGUUokfvSNsf55GQtWvAdnDbXJQubSDapdOFDFsx/JuzwMqgQCQyTyDJDEA3p3saZ0icCPFI++SA57sCl+3YFTt1rMJ81MDiEB4dXjN3y95XEHGNFX07PksNwnqN2qhBH8kyKX6w32Fl61Tt5xQVb3HaBOdHotzJD0JZlPx9J8SmI/2hk3rKVk0iAdU6Fnj4q2gOb3GuXMGxUSivODzj1XJRnwMOkjxKbwEXD7yVQ3E87TaIpBF/kY5Ccudycm+vqbWHqOYimXSgfDxBIIDGx+IJb5DWaGcYMlv5bhBVKCYNXDKgEgfajArgVyPpK98NO2shMCyVBgCt4YBr7KZTadIOJkhad9sxKwZR7GIYinYCnQ9bLZ0Mj81orIFYZwwavB51GWMcmRcDkQbWu7vJym7vogzwdONeeBkoulZJJTdLUBS2lKCb9WQziNgG/IcPzH3/8Le18fY6rtsXR7kBOqjJR//P3/CS8Lj8ZTEoufSajOc6GG9mYSCemE2hqvVcqxwbCjmDxdd+QR+W9dLmsO0MSorgvoPyLPiUzlRBoQK6rNNolyzUnHlxvRyRZKLSQvbuoWnD4wZILWMU1Ya/tntI8VwhGGfMSJNRM1sXCKR5jLhVuV5+mEQCydRisuADaMklKyLV13YiyI021FuqyA2GsQEhL/CIKOT20LokwAkO94KEhnpnm2LF7nXLM46p5QuTMXhJO6zkAMyFedFykQj4RE0dT5J1N60PH9JRSfkY2TksrDT5KUp1NUpZyqNTwr6z1IGXjtDl56aqmL/YBMH3Brj0RJN3FXSj6ILwQYS0rMpj76ZqY8X31gbzMFmy5wlfs7AaqcfDljPY2HTzoh1HkE4JRy9IxQqPprcfSQq1IOsl8ou4kxE2p+A5zn+gAdzyJVrEd+FMnPZLQSgOcEkyr4yM/QVWa8zP6uvLepDWJxkm7j0YZeIbkD+Nd0aQ1pXRhug2wP0vGePRTPp2A6dEKyzas2Jvn2Lyanis3INFlY1hfe53fWh+nlkXUeurcJOmYwDWPNsuDIupiR1Gi4Fq9+e+FA2PqppDr0rakTXYuGMxF7lp8Aqg1a3IMtBaZZQTlsk/wdubVvsJc6kYVdzCapZG8Mn33jbGdmiiNRYi69inujWGZu+eZHrVr6vIpdUqy3x7SNA4jvZC+iXI+YZIc5/j67w2ADjFaZzmd56iYpBtKzoJ5uWOgvPVVEVYVqHlX54fHIIuo6xWY5LHJWTnns06lWWeV5Hb1gBWAevGGXwhkbmEofV95vomhIBAOJ/kAO4F0ZP0xOfpy8Ah0icrknyPUT0D8euPYNAi77TLYiGkkZrSVYEC0prtVX2okv5bQ2kZsFnRx013ICIn5ItCQGcSTYInZEwRwk8JmEXMzV3761Kb8ONF4nftim8CJcgs6ckib1yOo5Mi9okZQv3xsHvzemfiTUZjrcRNNPr08mLBIWg0mm347C7ew9cXjUhkTYmUgNw7Kj2IcYD+ueiEEl8PdRFrgKK1xJzfitH8gPsQ9bREyab2xxrZw6gd3c+ZQbaOXAwcdeR0XIvAaVrS4A7bCMVIqVgi+pbS4PwWp2k6K4V/fotC0qTkXoAn7oBBkZTaAP1AyT14BF2nG9AA/Y9dC7x8VmlWDmgF4LOLWdVzIPF9h2wO68oAumCyFrVIaGO99k2VvtgkjeK8Uz8XESwisikK725tY+10no+hEjGsmoz/WCc8nVHymmPhA1OI6s381vZd0oZbfdiNC1UFqOiSdB8Qka3BQ94eTihbZkeQcqvQiwgRaxLUZdkhtCHAQ4lG4B0xETu+DdLyPEBz/Xy/dtGjuv5XUcRtAL2Fw8Lnidptvk3cuXn1SDiR+9dCMneenwyP/kJYZk7Xzv/iUqUsAyx+SI4xccJy/53F4eykjr2EPZ4oXc0QIzCgzomBGXYW080BnAKiZRTkEeGJ629Ai8pAq+48RfJZMVgJDdIazY4Fg0OIZ9zkFwH17uXk3+9SXw1TGVM/Hcl7LPyTrdBL8hYXccLY9FibDkUBNypzpaC6F8opsJDjsxseZss2P4n+9OpueLq1lh93xkucXjumt4iHFhEuUeEfnvXI/4KRGx4U8jG2TnczlmLwEyol4n5QtK0XfWwbUHNHRwBLznf5TdH+A6u3cTIOyXuxMWbNfs5KBGx6NuqlehiPuiHI9LArJPggwA3KJV8k3Al2gbH4z2dR5x3Zqoty3tqHFZmlhij3yl0piFZdh32P8PUEsHCFTOYtgoSwAAh/4BAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAFgAAAERlZmluaXRpb25zL2dyb3Vwcy55bWzVWN9v2zgSfvdfMXBfWsBRbu/ecosFvEncGpc6vTp1sfsi0NLIJkqRWpKy48X98TdDSrb8C2naFIv1Q1ORw5lvZj4Oh3zVewV3MkPtMIda52jBLxGGlcjoTzMzgBlaJ42Gfyb/gNcs0G+m+m/+TRo2poZSbEAbD7VDUiEdFFIh4GOGlQepITNlpaTQGcJa+mUw0yhJSMVvjQoz94KkBclX9FV05UD43iuSDb+l99XV5eV6vU5EQJsYu7hUUdJd3o2vbyfT2wtCHNZ80gqdA4t/1NKSr/MNiIoAZWJOMJVYg7EgFhZpzhsGvLbSS70YgDOFXwuLpCWXzls5r/1etFp45HRXgOIlNPSHUxhP+/DrcDqeDkjH5/HDu/tPD/B5+PHjcPIwvp3C/Ue4vp/cjB/G9xP6GsFw8hv8Zzy5GQBSrMgMPlaW8RNIyXHEnIM2RdwDUJgIyFWYyUJm5Jde1GKBsDArtJrcgQptKR1n0xG8nLQoWUovfBg5corM9LxxmUhzLKSWQSxdRT5cQZxyjAnTjShV+lP6U48+jfXuqncBufAi2ZSqt7CmrlK/qZDGIS5MwqBLPhrjeRAgR5dZWfmg/IFgPNxPr4fwluXggRaDUApMiMnhFEUfrVxRGKwpgzapPdpCZNEk/6aefBY2b78JCK1s/Eh28ok2OSZKFphtMoVJu46WEc0SU6FGZnTrwRKFT97RPySYfWl9YTR5ynCujh0+9je4QsRhF1khsdWZ2hIcWC9ltgQiITMzpFiUGIUcWwzKKku4rJc7d1kg5Y146C+zVC+2g3sw2I24exurzplMCo+8McLWDl5cHljnX7u9yF1b43aYhHztyGpdMTEw7x2bfQbAYL479C32T6ZxVrw3ed2G68cncDaCaPBM/qT7Vbij5M2NUSj06eB8XmLYHSFRZVAObmlqRTUPSbRSZsP1D6lYYLOToph7KoxUAUSt/BUUQrmns7sq0qg4VWKO6okMn7XZ8e1/22GAoaK9qgMr8dHXQsEX3PDpE+q3xQIt8mET4jAbXcQ4s6uoEnhfO8/xqLX8o44nUpOX2WQUhY68+Hq2PteXm91Ee+QR4iYrdBJSWdI+lGuoalsZKvWvMVkk0B9Zmry41Xmfj4b+DVXbOTEGrhU5iLb/prFSSp3uPJGacqY7ZbH1gwvgAu2zHOEqTeplWZewVRzd6Ea+BSIevw/IPveOkYjHr0QSDjOh0szU2r+I/W5KGUtjAYIFxnEACneYkrBgJRSRsWy42RDS0hmO9O3XiLpJ5GH4AjViaA+nEhgX1Jg1uqnErGTOe+QIH4XIx1Se0nK0G0KcvmkbEJ9JkLo830n7BQOUeRpgdsZ5hmvg3sDtYyW02xX+lVF1iWmozU8Vy+fVtrP57fPqPoUwpxbSI8eO6n1DNOgWm9YiJcnTYbksaS9ziRIwC7DjqZHAbHwDXP+Fp50cOOBQYeYjUTqiWxoFLUFno29b5QhKrPTRmCyxTaBYCUnlWCrpN+mfRuMP4v9/a6E92WCmDzs24Xey6UBTn00sjA3rXoF+HU/MK0oykSTjRprP347Eu9vhAxV9ajkp8G+2xMxSRc33oSOlqLYjFAu7SR3dFUrRZdieEz+zJpn/cvVzCMwvHbknSP6VkRnnhIO6c4z7zWEoDbP3QX3cyTQubbstdaZqjlV7PnXK2MkeZkKVwtgv10Yxe7aH1bObmTgJ6l8XOmp0DKH5P4Fr1Z9pXRrBdCeYFrXOXuj0PIYBrfbz9l/2AD8BoTM/INZiuJGVXBeoRTnfc2bjZkO/3RWwb03XbHTt4gU7NJgVdZxEIu7LwJqzfWbgfAMiltGXTFarqnMUX0e8HfMRacpIU0b6AnYpyiVZZW1suhOLcACHUIVd1V5p/mrq8lVLLnRsYY9guXq+vaD+oBB1TZyJ0QBoNYlI0a2MVJjirYzEMktXn+YWkIkqFv4u2ZTQafSUj6dDL/Y3SVdBMrsbTobbhdt1x3w+w+ntraArdxS9vc2mi1XyQVE42OL37M99JRyncFfhEzDKzfl1hgMpivDQsgkvUnRUXLQDvTavKr7WLGXVfcRqW0TWsZKW70TyzyAZrhDUcKF1zCzqLbs5AuArQ3ivymURIuRhdvPJDRhBqzXwQlO3OLs7UHJieaN3potZBHIn9Re+5bx2b86UoG98C3hXl4L4iyIPMciPb1LdLXRyU5RYziky0epFk0t+/4nZn+V1ck1UrD2ek9hz8xSDJu5FOHSo5keyiO/Bu/tFm+rasf4OTSajGzfo7apAEwjgSHzN+rub8KjJS6kvZJHJdLeuUXxu9WR6wy8rhDZEIbwb01jyt6PYZHRmZuL2mXVSZnqKcqRz9PYbeda8g4zeNkWdY9Tyi1tU0lEZZRbbB3rKGdMsnK27Fmw7OQhdrQnahVIb5uta2JyzafmNY9BlYDj76I9lxmZcu1a42dYqfsiOx1EL4u+W7cnow/N5MP0eghTVB+PC0/2tCtWj939QSwcIiQVc/0oHAAD4GQAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAYAAAARGVmaW5pdGlvbnMvcG9saWNpZXMueW1s7V3dc9s2En/3X4FxH5LMyUqcJrkb39yDznZazSWKGqXpdDIdDkRCEsYkyAKgLPWvv10AlADow5Ilp+md/dIIBBaL3d9+YAGy3518R97xlAnFMlKLjEmiJ4x0KprCf9yTFvnMpOKlIC/bL8hT7HDqHp0++ydQmJc1KeiciFKTWjEgwRUZ8ZwRNktZpQkXJC2LKudUpIzccj0x0zgibSDxqyNRDjWF3hT6V/Br5PcjVJ98B33N30Tr6uL589vb2zY13LZLOX6e257q+bvu5XVvcH0GHJsxP4ucKUUk+73mEtY6nBNaAUMpHQKbOb0lpSR0LBk80yUyfCu55mLcIqoc6VsqGVDJuNKSD2sdSKthDxbtdwB5UUFOOwPSHZySf3cG3UELaPzS/fTjh58/kV86Hz92ep+61wPy4SO5/NC76n7qfujBr7ek0/uV/Kfbu2oRBrKCadisksg/MMlRjixDoQ0YCxgYlZYhVbGUj3gK6xLjmo4ZGZdTJgUsh1RMFlyhNhWwlwGVnBdcU21aVhYF05zoUqU0ydiIC266JVOLhwtiHynkiSVzWuTJeXJ+Aj9LqdXFyRnJqKbteZGfVCUIe57oecXgAbEj26aVM9X+WJYamwnJmEolr7Sh/wk4+fRhcNkhfTOefILxhOY5KY1cVp6BCpjkU5CFLIvVafo5TVnBxGIu7Jsl2PliHUu7crQUDgiPaoRCrSyUrOhJ1cx8YvEL0LZkRAn0UbFjWdaVwgemqb3K/SClOejwq/Ou7LzAmmN+b85/rgAI7KszXptpD+C7zyQYVYFu6+sxn7E0B3+DptpM7vh37gthpIy1370g8IrtsmKCoQNesrqAY7sjNM/LdDf19AMUB8t8P19inFhrNywqVlFp3AsZUhNmqhLDgUBHj84GpTGleW0XWUngVmpuvQT+CVqw5t/EdL8g6GXFeNG4Im8c00QPy8uibxMCLsiI5oot2hX4wFoB6bpC78Uy92TBqfFd+zASrvHeDBgWYB4gpdVy/jMUGs8SIzqvHZ9MSqWDBsnGwFLQhHiAOLULRC7LYwDkP4xVhCpVppxifLSofRph9pmPEjoyRjL/lvHR8LgPC82YNZNqWf8VIAFTMN2+4iYTaBZ/X2R8RmJkQWyDnnM2Zfk+Us4Cgtt0C86Y1rm+CKX0oNKn6c3ucr6epXmt+PRIkvbIHUvWLCL5V5Z2J7Dow0Td8S39CHLe4jm+bSG7HLL9ls+A2bsl63LdDXL7vaaQtvhON5ASunU2o6kmoi6GEIDB1XNYH6ZSClOsG4xFdRUJHhbPxkxu9sob1nY905Bt0vzeKSJzBPI5bIIFbNiyJoN6iikULAU3WC3D5r9OBdO3pbzBWMrHAtF32nI8q7KWKXRxmeZ7Q0yetkzA+9cphFpIhzWVY6ZPn22QraVxSERVTE7NNhLyWti5lgqFvoi0dv8P+1mTAnsQtFPhrtRQa9+B8X3TMeTSTPAUc5lxKefPwhSAKFwDVYSbdNyxh7UA6ONxaQV0F3vHSUtaVoqS5SZnAuguNvdIstXw7LG3jvsdeI6AKkbTdteYjOYme3+HrkodtAtaQ89qBPiljRJMg2RY7wBk47YTt/tLDXCfiHWgJnuE/maNxr6HzOsHUkDImbJSxqq8nJs9yiinUxjRpHECZQVBLMMpnfdcN5mRKJNFo6elh/nce3u5dDMNSg0zqWSGDxoo5vrToEt+GJDe289n3bcd8uL8nHw5/629LVioGFMFrdYD6sr8GDrbm1LJy1qtFxhCLKUCOXWbUB9PS0EaSrBM6IVSsnU+K8Z10ApyWRC5nCcqnbCCXkQ232AIq0WmQrQBfifNMo12kr2jJ4Jwm2ptAW37orbYy+esPrbJrCe5o9U0EJywo1mNI+nks6stRFaAMiCMphMyzWrYXZpdRyPrnUzkISzk85KXnazEx3C5o5Uc30iA66Vp2MjuBHDm+ttSkOvbrHADgLnUNc3fcXFzdCBvJb0DoBt42GCwEdBTOw+B5PFmF3Q3ZNdEhj/TW/ureCgwPoDL9rT8bw7bCc12B6cYeaPX49NtCjqYA+nD8BiS2sWhmjTK25Wgq7KDTczE2DEpJf8Dq375omZ+EIaov9A9QAQ9ZryoC8MF84Nbibwt3XTDpdKs8nNIH17mnMzmniAdCgymdU6lY+74GAo0szHQBr2uWK7pwYF2DckdceHW5UeQjGnKc5QxSNGKCtoMzS1waXl4WeS790PNPnnRx2Y9ykd5wzYo/nbC04l1Hk4OFhVqu/ozTy97wHc1HjccOQlab94A02yRYcM59+AVANtoYRW6D+H/HigaO2d6dNDvMsPusdloLXDjB5jBMtc/yHl+HTO4A0qH2UEo0btMwcOpMYo/zRQeNhUwGyMOKU5uUHr4JmtJa9dkIDRgS9lDO7ckraJ2dfoezh3NHdHuZkuypTT2cFV3mUKzlgL+YfIK/seiUAXJ5Vb4HN8NHk/xW0kfz/EFUNju+fbZBR8PC1ts9c+Exi5bApbWkuv5D3iM/LHOD7unsUJtAwZcERaz4glm2zqdLNEAJDVMTxf3seCRub1FRfYccxX7C+Q8MnXc8rkpiEy54rgvTUshwCXjtrYq8TzmGJDwV7pHRPyxLgC+ktHM3JPzni1r/VZi9u4JkSCzuyrjGTSl+3JiSnfNQHM/z8XitSwYjdmY2MahXsRaEoEVPHGqeYK3Z54w928YvFQwHVPcTpuZvNsLl/22R7TbZu2WR61gVLgzD5reAMQxgDJpsgkY2kLugcvFjIv+Hs1mJJoaKWttQ7c/76azv73P8hzfQRsLmxbniWFfhtfw9r4Z0xUZx0MYJyJZ6jItc9hwSokiL6fuEuI1UhdMk5zO2dZq7H0XXk1fxQ1v1qx52a1h9iGW2+27hZI+3tLUiDPLtcejPaTAY7L5klR02tPt9DrLh3jTA9ibtwhrj8EcEH8/X/VbPn4v30Mj0+kDyHhSVmUVHhXztKjChnHUMB5X2xUVHT7rNOyfDnWE5njC8PdwKBKZpkkRXYkR0yrhPGiq6nAoxLA6Mp0ijcjMAMQhfxNahoPqLCRb1LPgd5aKBNxEOGgSia2SRTSvSnhEGKKvuEnO17S9DNpyRkdRN9MU9pIRdYjXUYMqE12FygNpDPNQIMWIJUJFIgCPqRMuqkgQka6/r9JwxqySoRQilrKYZxiQpEXUS1d/+1vYLQ9/+q7CQDKTK6B9k5gz99XmkaTjiIlotFTTyCZkSCdT4TKHgoYwjMRJJ+GEicijHuqWV+EcgkZcFeUQIlcoqBUyN3yNIFaNHltFmYiZXm0HlxFCPR1F+lFUJ2xW0Zug9UbOK13mNLQ/Oc2iKSLMILHY9iEho9GodBryVIlZ1DAZBg23KqRZRTodymTd1KoWiQhZvh2u9IKmVQGgvUXin8bQNhkTS1bapxBEQqnr2JorHXoYoUZgzUnsT7Pot05HwW/GxxGwSlWNYiqqwlQ6kZGy8hVQRlzSWfvl64jvSCYFj7yIAu8f4dgkN9E4JlIamWU8Ox/FXlmIKITwUIhUchUxU4UNv0dAo89FtL4E7ySFRCLHiR3o70nFmIzGzsDJroBGRkKuxiHT+csVtxryCIlyxFD8O5qh1qGYVLygkIFqJdJEUhzxyGOmcXBKZRx2lUrLqkhjjx1FKxWpp4r9pkqjmUYhhNG5J+wlA8MRZcSlcbH+HT+XHiTQGPWscrVGdbBni9KNSdRDTXgRBq/bOFrIcrJkeZEJL/MsvD+YSCrGLIGtf5wOx1fpNuTDTdEAiTXHUi6HNaQX70aYLbZ5b8tjctP+k3Rxp2RyURwLifCUZ7iVw9oz3pk707zA63RYyF1eLbd/+BbakJmkXPIsYwKHQXpkxrjL6bh5NO8feYfGwbsZQRnWy5jvnV6PzdUJmZQygYE0vyAvvKf4bpv36M3r19+/XtXdizWao7P7as6dMD5q7itobtl8dzH1str0TIyuZ9o8XldHa24EQ7cu1ipG9IB3nvwjkrBoqgzADHWj36xO3euYWC1sGWTY2ql3g46mqamYTVhhLuqZWszy9c2VihmOMS+i+kPxDc3F1Ib2usqp65Dse32zm2FFeAS0bMHX0QmWuEtJdAuSNm+xp2IEYcCYZilXngA5yKxq+xLWScO7EfEuxeEFGq4CtUTr71tTJTTLzFttWO2mWEP3VeDJhYnM6GqrWd1dH24Qvc0Y1qC9uZa/Y8F4yzV/rEv61NzT5vBu8QYTujflg9YVhxf6sAUct+IN8MTcZC9UmgFNqXZRGBVYNe4mKKnW4le/3FwBOgydIHBuJgta/yjFakNiYsHq6KqsdnR/wYncDkcKy072RTTTa6HvHxw76yAE5n5kGEUUYyjB47ONeHIya44cHvH0V8NTTx0XTSG9b8stDdzpSnPPwgMVvmmah/x90whaNNqXchK8sZlAjrIkfxfGem83POmpTdDy+gw2Ya6ndkTd0f3YKs1v0JPtCcFHDD4cBjtDlFyqj3yWv5nsypYE76a53uHr4KYjXhTH81c8cbOCDLaMGxD5eOK+oPq/eOJ+mPH/dQ/cD1z343m7+dt63n6YiB+P2x+P2x+P2+Pmx+P2x+N28njcvmx5PG4PmHk8bn88bg9k83jc/j96aLtLdv142v5/rLimeW219D4lqu01rpMVtdsa6rfwKsqg03equKOAOKCb6sujwwp5bqXe11LLEXFETe/VwputkAAVzYU58k5oluEyN3wsbGll+BGIxSjynqbEjWxHVhsVH9YX3Swf9oMNe7BgBxxp9rBOdNSS0FpejlwQWr+0KWw3Ek3HOwjz87tOD7Z67mqG8ZlUkO719TX5x4uX7fOfzl6+OH8F6B6TL+evfvMLjO/BGUAigp9LG6vmWwiuGGTf3vuJi5/wi3rpDX7YLhJMzr2Syfa3Z3fS52odLFj0k1Cd714tBrTIW+C125++giW+/s0687SUgKyqFJkKP/aEg0FSeQYrznNY6Gnf0Tk1HxaxorRXWQSbafdtiWaydjOZn+18OX+zdlpvMnxm58O20x5S/pFRcBintodXovMoO0SRjpiTGza/LWW2tjT35fzvv63W59pP7mNYGWwWNighFDR19NBjnb44NReXTs9PScbHXDdfcFkKxFeCFc2bsyHHz6KORkyy5qs1AyanHO9OXYLzJX28QkOeXg0u+8+cKN0pQbdPJkaAPqYb5ViV7Mnggi3o4LPk0VcNc0Mk4DhpgkuaUwg1limn1PvI3znUZVq1gxuwORJ+78Q6V/N5+nh20+mOyTd6ONgVRMxg64vgl59v+OHpfkvxQ9Wfvx6nFdgXu6CVVBIMcbZT8HFaAci6wW6VYMKX3auPxHwFXd8LLb6c78ecL+eH4BC//SkgpCRNrnYnV9brGTg334I09mY+1TaSwacz9w5G624AvqfqZusq7sgOe2/7m/Lp9yWkdaU85P9q0PeSYe8r+otQxYXVjvnUvvlaRmEnhX5Z7WnInP3zETMbGHP013xp1fm1xQft7nwXu8lpvrzc+Ea2UEmxWHyC38gvGOh/5UpmoLsNVxho88EwjotvvhK2+Gqo9z8SIDCJNJm+p/lAJKWNm72BDe0P8GUQX+v9Zt13OaQCPFLOxFhPLsj5TqAbrMfcZzH6tkGHH2vbHWjbIIaXf/9PMRZo+eFAhhdn/gtQSwcIDJXD15cQAABEaQAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAbAAAARGVmaW5pdGlvbnMvYW5ub3RhdGlvbnMueW1sfZPLbtswEEX3+oqBvWkBR266dFduHqjQ1AYsJ0FWwlgaKQQkkiVHUfT3HVLOw2lRbQxyLu+ceXiezOFGlaQ9VdDrihzwI8HaYik/x8gC7sh5ZTR8Tb/ApyCYHUOzz9/EYTQ9dDiCNgy9J7FQHmrVEtBzSZZBaShNZ1uFuiQYFD/GNEeTVCwejhbmwChqFL2VU/1eB8jJXLTxe2S2q+VyGIYUI21qXLNsJ6Vf3mQXV5v86kyI45tb3ZL34Oh3r5zUehgBrQCVeBDMFgcwDrBxJDE2AXhwipVuFuBNzQM6EpdKeXbq0PNJt17wpOj3AukXapitc8jyGXxf51m+EI/7bP9je7uH+/Vut97ss6sctju42G4us3223cjpGtabB/iZbS4XQNIrSUPP1gV+gVShj1SFpuVEJwC1mYC8pVLVqpS6dNNjQ9CYJ3JaygFLrlM+TNMLXiUureoUI8ebv4qSNAkbX2JRUa20irLiadqHFUwhH5ioGLFri/PiPJGjcexXyRlUyJiOXZuglu2IWQoeLUkQpJomNZY0heVI3xQ+zU3vSgoagIp86ZTlmDDTlcyMyUdI41Qjo/JRHbZFGq607Tk+tE7MHaspWfgmYQR4uQKIJwhz083x8qkuOlP1UlOLB2o/aluZ8uvVCd6NRALH3TX8igZ++jNEKBjQH5ExLEjtTPdqQ5rdWHhZ5A7f8v2TzqLDrtDY/b+ID2hTS6fHxDLlYJD8AVBLBwiGrZxDJgIAAAEEAABQSwMEFAAICAgAz4tGVQAAAAAAAAAAAAAAAB0AAABEZWZpbml0aW9ucy9yZWxhdGlvbnNoaXBzLnltbMVYTW/bOBC951cQ6cENkMrbPXpPbtJujS2cRey26MmgJdrmVia1JGXX++v3DUl9uImcOHHQoIArcTh88zh8M9Srs1fsk0yFsiJjpcqEYW4l2LDgKX7iyCX7IoyVWrHfk9/YazI4j0PnF3/Aw06XbM13TGnHSivgQlq2kLlg4kcqCsekYqleF7nkKhVsK93KLxOdJHDxLbrQc8dhzWFf4GnRtmPcnb2Crf9bOVcM+v3tdptwjzbRZtnPg6XtfxpdvR9P3r8BYj/ns8qFtcyIf0tpEOt8x3gBQCmfA2bOt0wbxpdGYMxpArw10km1vGRWL9yWGwEvmbTOyHnp9tiq4CHotgH44oqdDydsNDln74aT0eQSPr6Oph9vPk/Z1+Ht7XA8Hb2fsJtbdnUzvh5NRzdjPH1gw/E39tdofH3JBLjCMuJHYQg/QEriUWRE2kSIPQALHQDZQqRyIVPEpZYlXwq21BthFMJhhTBraWk3LeBl8JLLtXTc+Td3gsIyZ07blM8ysZBKerPZJuTDgIUhS5jEbMfX+ezt7O0ZHrVxdnD2hqXYnLnMMU/YZLfO8Srjjsf/SuWEWfA0jhmRBxwrWczcrhBwwcIaSXvMJrdaOxpjLBM2NbJwHs6UEg//KADg5WXu2GsD2ws2vZlcDdltywubYgXWhIVZSLCQXTzPmfbMd8zDVgsjN+Dc6HXiZ3EXt94OopfAjsyq55/QDkG3/LdE4mRCOWwYlosZbwTP5X9IIqms84cGA3wPRu2TsakA/9wJH0EEZj0ybPEuhqC0WWMyIBOzST2dngaM0lYt93ArvhYdyD3PdbxAu8hF6gLvNK0KY5+2iLIFnNvAvw/UzwhYrTAb5B9zcUoSVvSu6Zd0JlCHs4ppLZd3mVvrTOSEKNUGh6jQKqODkIki1zsYRh3wKQBAAmJSL9xyHAEGbylONnxRfuG9VoJO5lobUS9r2WuRLBPIR8pzkV2w7UrA0kCpwDVcZy3fiIKzwuiNpOMn1EYardZIioPbhIVc9w6JMN5kVGsrKpAH3bPqCA2YPyE8Pws8VGe2WvpKq4VclqaFJbgLJ7d1yNsgknpaxxnHuKKsmurqpFNeZzPK60GnKnSIAgECB6SioBXJy5RwW22+Iyv8MrT7exzNMS6wZbCKYSlsvQ2UbZBk2cxxsxSuUSrG3kRce7L3XmWFBgveArsMCab3FVsp6hGdf57fzx/ppV8iuaota8OqoA3Ygue2i8pbTbL0eCIb6h9Lp/J5ociE5zW3BuvSWWtxySo27Fl9rjK5WAiD2dXEZ7J8X0hD56hLeKFsUqSG8E9ntjON2gnE2AdNZZ1T5bwkBw3AfQd+ra0uczQtgtqrzNf5sB6Ry3FstUGVb6VpUJQr9Fykz/TmCYwO65A6MjfXQTY7NKg3rXUHVacyrnSx4OgCdRBV3yvanYXsXlxCKWW6aqljFMZQXqiaN74ozCzzrVG9ByDIB8zCOhy6XGJXmiMY/voBgS0h95D9Xq9fWtOnw9brJWysIa1eRcE4pL20rsLBpKPOiX5QBpRuO8UOnRPC86R3WFqhOlQG6Bw07L1ha6lmuVBLtxqwt2cVp1QLD+h8rpeoX3k0DFXSc1g3hDUx0eT1zxRL26Rz6I5pWsiTkFDt8ndRcdvrw2F/lfG3vQdKyV2duq9hOhhqrx1ru8uIQVHt/lFoGzp4GqjLXNjOVrxDZpATEj5iVu9C74RwLboPF6p1U+/9++AO8ttQ1HLZlHZtunf/PqH5qJH42Y16kTK3gnNSiceI0lHqgBpBVzVhOqK6FoVQmX2hsJYCK/ucp1WESncvVb3HmNcRYqxWySepvh9RWGpmOqK9K/8/lRprdSp5Z8sSA/4bdzAvVONYjUNh8J3E8TS0Y6U78wOUvJOI8HSUdLdvD5HhaahudSCjXROfTQZFGcnQZplASdA2YYFn9x7NjGd3IE+r3b+2dB+uJXSvKS1elwV9Z2jdpO5WmUPb8kXn5Voc3pzHbevz20Tf0lWpDLneeGwdexcGuz8s0OaNrqvyGKyJ73nTCTyfYWfKqvxVdXZWlo/ERBd8+tCkY6PSwhkR2hMivNto2JXedgC9Fihruf+AsAifTOi7wBw3Gbrx69Kk4nhoh9IIF4EtN8eoZV0pu0Vrf8E98Yrr+cJ9ML2tlUt1PKxDPo+9iFb2p72G+i8Sqr5FU1kQP8Krak5XeVtski/SuJLnp6twt0dVd/YlK5OqihF0PF9VXwObqvaEorYf26Ei31iervU5kgVSDB954EAtWoBOS8ZDHQ8sT/Vx4WkctLMhhu6/SAapbVi49MbVFqMQf5+EDwd7Azfzf0Tq4ggOc/TYsvgAeZy0Pjk8ldjGR2eSYdHIbfbUJHs5dFFIT6rbHZjiUt13SDKqb2S/VJpubI3jTwhv0RLZcF5PrVH/A1BLBwj40mcGFwcAAMQcAABQSwMEFAAICAgAz4tGVQAAAAAAAAAAAAAAABkAAABEZWZpbml0aW9ucy9hcnRpZmFjdHMueW1svVhNb+M2EL3nVwyyh02AROn2mJ7czRY12k2KOMmiJ4OWxjaxkqiSlB0V/fF9Q1KylXgLd7toECSWOJyPN48zQ785eUO/6pxrxwW1dcGW/Jpp0qgc/9LKBT2xddrU9H32HZ2JwGlaOj3/ARo601KlOqqNp9YxVGhHS10y8XPOjSddU26qptSqzpm22q+DmaQkg4rfkwqz8ArSCvINnpb7cqT8yRvIhp+198311dV2u81U8DYzdnVVRkl39ev0/Yfb2YdLeBz2PNYlO0eW/2i1RayLjlQDh3K1gJul2pKxpFaWseaNOLy12ut6dUHOLP1WWYaWQjtv9aL1I7R69xD0vgDwUjWdTmY0nZ3Sj5PZdHYBHZ+mDz/fPT7Qp8n9/eT2YfphRnf39P7u9mb6ML27xdNPNLn9nX6Z3t5cEAMrmOHnxor/cFILjlwIaDPmkQNLEx1yDed6qXPEVa9atWJamQ3bGuFQw7bSTrLp4F4BLaWutFc+vHkVFMyceONyNS94qWsdxOabyIdriktOfOJ5p6py/m7+7gSPxnp3fXJJhfIq66ryRFmvlyr3c981jCWKe7P+vcvujfHynqhgl1vd+GDiQciEX3EKPqi29HRmIXtOD3ez9xOaJA30AM20cxM7lCdVlieRMSYgGfcsFOAabUTu2OoNQLSmyg64d8NNabqK68FJES/mIn99MJgvxNILkSABRkpmoTVG2IBodVqSdMJ9qOgtp0gGM8LTEFAWVeelEpIs9ySgCSQvy27fkqKFrpXtYC7/rFbgRY/RUjibTkYAET44thuwIeIJK63rD4nz0HyVW1aeRTJ6Shqwu6QRAfmgFtWh4LcOdFty3uUl/zPI2bQCcY+B+mYMz78AXL2Gu+7oVIvlU9qudb5OUYgWYNGoP1regRbjioy6jdHtckVn2zUHygGeUtDZaOtbVZ4nndu1AQlzU/vojOW9ZKkSu4quxxiA47ASPL/EhqVetVLEznTG2QWdQsTzsi1Pe9VJVqILmVog7LYOFYk+12aLs6Hsin2wjnrL9phkZE8fv20+juD+U8SMPqLEw88U39nTx3MKaQqhDlHItkp5qb57idi5BvsshVp2un5bjxn1MFKuGg+AY3qraJnOOFsBbDkMbGG9zsu2CCRASVXSKsh1znMVymqizZC9vokgKAPJ0AKFbH02U/0N0YBpewmrY92qRgC0TuwpWgMrHE4HtAJde47pP3k4+snlni1rZQvx5BzwO9PanN2h5NfLTTbbfsUhjFx5nfr4sOCY6wGPmMXofGiglnOPA1AaVcQmKuJ9WC7glEDYpV1OmP4znUiRf7p5DL3SJfbvtKle14GYp9LGJIZg5f8u83pk/R9LvZB4tyIwDjW5V9LTUlgFUMLWgZWeLbYiFWm8GFDvSR5icecBw/rlauRsFiY8d36IPGMgsx+VWx+D5vQ1Av+qmoud5HtcDR0r0cSF5YE6VYWz5pJEPHH8zHk/uUmSHmv9nHSuuSyPCPS3zq+PI85/DTVaikP2OMq4kuIcBkAsYzJtw0RwKGQpSGHuTooDR2DPH24NL+KWYvFRRl9Vfovgd9SWs5EU09bYz8vSbONkUemKwyx5vT+uXD1fyhQaJASbOT+nce2S0sJLZ36C2Dc96v2EhPYfbgDD6t5oWuOeEWrTWm36mq4lsc6ZXCvJSEhtmKw78mHCwgwgqQ8L0ihqEyd9YLPGc4n6dxU+YDofygf8qTfm825a0GGGk6vantZUB+DtuArthroD42cI9+D5V67IdtumaIoR4eHe8F327qshvxk1kjH20rHdqPlrGB/ocE2P91OJqVHov6lX9BqCVGOlbnodrygxLVzNddE/vso/AC5gCPctABhUCiO+4IT89HdQxGtbHl5HLsv1cZjGR3emLzjw1/CaaBbufd0Yk+wrDFOqFygo3u0MX9IGfbaY42/Le+9lBRWymucYLvyr14L86GVui9EzioxVMrqd9AH2yM2NBUWODl1zf08coMcAtkolUlZ2c8pw+1uwjGRyGjOaYFLYIo8hwv4eze7I/XJ+WNlSmPDShYw+ST0I7Ija8cHg5o0TePHS6RA1ajKmgoUs5LqI31mInLE5BgAkxxt7KLlLVbqX2ZVyvmLbd4X+CjbHHKIqKfLuCxi/xcwV7m87yVEDke8VrC4KKXV+PwSP+kxvj3RPjAyvsNt2c4cgK7XPsRFP/wZQSwcIQ3xU2HQGAAC5EgAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAcAAAARGVmaW5pdGlvbnMvY2FwYWJpbGl0aWVzLnltbNVaW3PbthJ+16/YSV6SGYVp+ug+yZKTaGrLHkl2p08ciIQkHIMAC4CSlTk//izAi0iJpK5pT/PQWgSw+2Gxl29Bvu+8h3sWUKFpCIkIqQKzpNCLSYD/y0a68EKVZlLAr94v8MFOeJcNvfv4G0rYyAQisgEhDSSaogimYc44BfoW0NgAExDIKOaMiIDCmpmlU5MJ8VDEn5kIOTMEZxOcH+OveXkeENN5j3Pdv6Ux8c3nz+v12iMOrSfV4jNPZ+rP98P+3Why9wkRuzXPglOtQdG/EqZwr7MNkBgBBWSGMDlZg1RAForimJEW8Foxw8SiC1rOzZooilJCpo1is8RUrJXDw02XJ6C9iIB3vQkMJ+/gtjcZTroo44/h9Pvj8xT+6I3HvdF0eDeBxzH0H0eD4XT4OMJfX6E3+hN+H44GXaBoK1RD32Jl8SNIZu1IQ2u0CaUVAHOZAtIxDdicBbgvsUjIgsJCrqgSuB2IqYqYtqepEV6IUjiLmCHGPdnbFKrpGKkD4od0zgRz0/xV6g83kA5pi4n6GxJx/4v/pYM/pTL6pvMJQmKIt4l4J8BTmjHOzMY3m5jiIKSrvWKEUe2NpTR2CCCkOlAsNk7PFBFNHyf9HiicAP1CGExRGBDOQTpDpZNmBK2xM0l3UsfBDbIV2krJqB5Czxj0p4iKAohdEPp2xU0T5npRIxnSi4X0pbAxQdVpkgBiJfG07bObbO8iifwgTorfqA8tc4PubuiCquJpHiY3MCdc0+J5gIdvFIIxJRGfAMOGGKp8qXxcSPgNfMlGURkCxYdUBJtdrYicE/UpQa/yiknXw/CL9wW+ff+RHzvTr+ioP2gbCjt+RQDwcJtNiGj0zyjHpOihFwhq82/VT54wRh+YUlJhXrjctxAZarHh6seS5cGz3WoVic0LLg9UYfQLIU9WxmCbA+pj406EJWWXwMcnRgaS752QsbiKh5gFScINSg/ifCVuYHeV3dSAzg8cp6ZBovZ8YiYlp0TsqywvTRT3Y2KWB+DW67WIfUGifXc8ZrWgZi3V6/kCSlt6Gg9fetO7bMDVF2KkOvYQtExUcDA4VoSz0Mf/JrT03I7srLePDFELaiqPYlqkxqyuVdFFJD644wZoERM+p2KBB1nkTAAsPWrjayQ1ESkD3vrWBCu8GyAm4xuFWBb7JAwtW2i0Yk1kDDAebdU8MaDy6e3R6T0lM6Rap8usrWFl94On51uketnQnEtiimSWKiuRiP+WTMlEiNwPzYZkhxjHeGIHEjLjgV7KhCNRdOxC2rmhIw3ITWOMUMtNc30wfMrkIE0EorUMmJtfMN0MtHdOqGOewFyJRduyQDSeZSaE52UN2Vg1EPd4k3R/Ew52niW3ii6QpiJZcvAGo8l5QdyAqs0PeiE6/HXcIMudYFRCD2jNffsqPv2IONyhTzZow+jywkNUsGQGi15NKTjqJNzUcxYWzYp1lXME5G3AztrsccviGgtNLBPCXuxyg9qcyjDb2l7zINMtIi7PvhF5u2B19uAYCTWbyrPELWanE2xhu4wDrYM3kMHr0R1EsazBwg3nztGfDmaNSm3bcRWXgfXSx4R7Filq5DuZ3NrqXUFdRVeptM3iMQFKTX+W9JXkSbTvSC2CD8Zui+vdM/F6ehi2dBk9LJ4Ga+GYpmTr4nZYzFfeA8UtnsEnWnCeJHKLIZtfKrk9EBiP7pRSTsBEwJPQMQ0K6SrY3obsMhGWn2pAhCUfkURSLJW98KkPRts7HuTLJXzPOD+/WItSNI4a1/hLVlvTf3m510lsPZ2GnX3hJ8AotXZVNEfzjl0gR9TBKjeyJ1RjiK67R0Pr0zdi77W60E+ihGPRX+HfA8oN6ZaY5DeSLKi9SgNqAu9cK1oPWEi1f0fSsoF+tqa6iX341tmxQ+i6O5BuzkXLe9DoYaR9F8ecwX4z4gx6yp7GiTDIJbduv+OcdYpbojo1idenjEv8u74CHswKf1+QQ6JtPxEUeJui/ojmu+orhcTc1x32vCXIAHjwwXYM7ukWQ7lt0inCj+f4+eFzmogofpKcN1xI/f8dlEbA2A46xE1HJVl4ykk9zv6DzQAMw4Np8UoGnyoS/4usbRDuv8rUX6VaExWeen/fIvHlvjfqac0W4vS3FDsmyE8Cc0BKY0HJxN1pMIF1JCLlAm2bF+VuEtIS0tQezIOiAfIXKC/2FZ1TRUVwUs7qbbEptMJCsB+07D2o1uqCXBc4Xfa920rMy0krG28+1xZbj1NzYEs0Z4tEkS3PucJBfiUz9LcLZDdw0xemTEL4JC3rFzlIytNmWQiT4t0YlNeiRbm78MKjegkTL1N8EGA/ZSan9bmtAJtQrVKFORfCobQd0Q0+zOUCMxP3RfEGb+uz5fveFij3qQiwsHOXs5bTNX7Y0iOXHDlVn1pm+wLF2jPTZVXZ267OVj7VaAF7I8zSW0C/bKEzdraVVA5FRzkhJmjDAKmygpfB80/Y5jjfUK9AsX3Lm9eO9IT9ssXPubFvR1fJW5lz+RGNaih83UYy/39wCw6ZPPfdVHyejLOnmBPDfM/thStHGcTJCRD7cXIsvv7T8wf98WJ89rKd+7qcu7ZIK9ceO9zDjlntOR7tbmhd16MhcG9IQ9fi4Dqj5Mb+0s5pS8eboX95QHFzGmwCfvil7OmOnBn3Fvf6miXLUtzu7a1mR7D9HuNgmj3vPnEHw3D/jUlK9io8j5mcvLk7l+xLm0yLy8f2A5Ili/cA6qks0tZ2Wsol10sWLNPmI03nEWrm6UGFyXei+3FYvHc5xiLnXXOdxHZ3NNXS3vzmIiW/NZY7YDcrHO1WsVjpNqTZDHdv5iJLNIg9k+o2SKNvxvtm8/2jvpq8YYSh9pVdab9W4r1NV1f8ZiiXm3Gj0h1+b+9N0c/4FuioNz9zTlb2W5M37MZ8+7nZzy6xjR/QnHPXvfXUE798+R9QSwcItZN+tJsIAAAvKQAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAAAaAAAARGVmaW5pdGlvbnMvaW50ZXJmYWNlcy55bWztWMFu2zgQvfsrBsllF0iUdC8LZE9eN2mFTW0gclP0JNDSyCZWIrUkLcd/v0NKliVLbqVc61wSm/PevHkciZxcT67hmUcoNMawFTEqMBuEac4i+lWt3MArKs2lgD+8e/jNBlxVS1e//0UMe7mFjO1BSANbjUTBNSQ8RcC3CHMDXEAkszzlTEQIO242Lk1F4hHF94pCrgyjaEbxOX1KmnHAzOSaYt3Pxpj84e5ut9t5zKn1pFrfpWWkvnv2Z4/z4PGWFDvMV5Gi1qDwvy1XVOtqDywnQRFbkcyU7UAqYGuFtGakFbxT3HCxvgEtE7NjCokl5toovtqallsHeVR0M4D8YgKupgH4wRX8PQ384IY4vvnLz4uvS/g2fXmZzpf+YwCLF5gt5h/9pb+Y06cnmM6/wz/+/OMNIHlFafAtV1Y/ieTWR4ytaQFiS0AiS0E6x4gnPKK6xHrL1ghrWaASVA7kqDKu7W5qkhcTS8ozbphx33SKojQTI3XEwhgTLrgLC4uyHx6gXNJWE4Z7lqXhh/DDhD5KZfTD5BZiZpi3z9IJFwZVwiIMzT5HWoMS7NUL2nuR0tgFgBh1pHhuXJIlyVkugtkUFAWAfwDAkpiApSlIZ1IZ016mLUHFC5yUXZMomfVlFknhFSLxUp5gtI9S9OZJcZBi8XFooQ/9ml0cF9owYTgz+FBla1Xhi0L+a/smp8ZQGCEt2AanHvGPUHidP7kuRd2hDekvZX5IvkLqAWyCOiQo4h9SsIRq6zAY2zZiVG3LA6RTU002vKIackIwrJo2OpMxT/YhF8ScucYft2HwxRG4svwjSavEbo7htXax5yiHVX+GL9rQ2wHDJGWF3KqRFswc2FnwVBK0ym9zDy+9jeujGlbyeR58o3XB0jCSQmBkeMHN/n3FP1ZUzoVZg67Pit68o43pZfl5mlGmnc8h6fB4x+ttUcI6r4GKbrgJFaAFHlZaE7lBlo7c8M9Y7XJTvuUZrt1GH2HDVNcYOnPSkbZDYDEd0Y5puGoX3gAO032KMjJMscCxrh8roBvZsyXoKeXAPbKmGtdHNaLKJk/3ViFjbFwpAjpRY6bicfeKSOG5Z+5ACHWOKrrqdwrySg4pEr7equE0B8Ap03mXe1hccJdB5sMJZH6KjzHF4X6U0W2OjtcK0/L+u+G5N2t7NXSb6H4e1q6Fmk6dqF/k4iDFdjWhbo9eu7u7QwK1YC4pj9dDTq6usX8TfkJeIk/JpTbvkU6wQdrb9IPFd+l71bM4HsxJ86m9tzWk2ie0fNlU5O6LFdpJiZgxrjgBCs4oqtUpdf6hljXyN9O5/E1Buw2PNnacFHJXC2AF46mbVs9JKTnD8hjvf4P1yakya5khtYx9UugGY6dhU42yhzG85K8FVXncZ4UZTZiDN6IMb7ve+2TauexVJGmUjXsaT+ZHsrKOov6x/4tgWtNwSL6jO23K2bF+TWh6AyqauOlMiqkXqoJIufXBnkjPsy/NaDcc08nABTwuAx8+BTB/er31n6Zwf/8nMA07pDmVfpfPJctW6WEmpXeW63b3nd2BCGNqeX1Ih28YbZ1z1T5083uXCfQygV4m0MsEWk+gcJlBLzPoZQY9on6JGfR/UEsHCDQxSDS3BAAAzxkAAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAFQAAAERlZmluaXRpb25zL25vZGVzLnltbO197XLjOJLg/3kKRkfcddVGWV3l6ZvY6I37oZLtbt/YssZ2uW/34oJBkZTEKYrk8EO2encj7jXu9e5JLhMfJECCJEBJLrus+tFt0wSYmUgk8ht5nLmO7fmLIAryII4ye+OnGfzwi5WTP2XBOgl9e+usQ/uT/elP8Guc5tkvfzqxPCd3Rtt1CD86aR4sHDfP2O+ukzjzIIQpff4oiHI/hXfKB6kfOuSTqyChz6LY8+18m/gwvUW/P8Jn2egqdrzPTuhErp/i3yzL89Ng43v2Io3Xv0jv3sZxTl5J0jjxUwSBDrEsJ1zGaZCv1vwBfAU+94uV5WkQLcuHqf+PIkh97xdr4YSZXz7Pcicvsl8s/wkmDtZ+lDsh+aOIL5/bDQN4of4lCqlEn/PIS2Igz2hWzMPALQfErlukqQ84Z9UsJ9ZH4ecv0883X6Zn52flM6CAmwZJTpdw5VsXYQxkjpbWu8vZewbUj5kVR+SvCfmkFfn5Y5x+BTwiy42jyHfzckZciT8JVEG0GUCw8EkC48k6VjCW2G078RXIXXECHyFzx21c5H52Hw+ljcgfkxiWLYj8dHRbRDmsYh9D3cWL/NFJ/UkMvB/5DHDVkq/iTGfBSwjYq/BC6MxDX2PoHXu1htPv/nxcX4lBOwQWP/efcjuFVzo2iQp5YAXbZ0trwPWtrCUTs4en6iS1LET1lzqR7vx0I7zTz3i/ARC+dxO18tAQsj8Lts13BmPb2AA7MRibozxoaqzCHvfIYsdbB5HtwnOYKnBCNcPhCUXOk9GkfLNz4mdamXUC4mz3dTn7fH03THg11wU3vJ04WQbngDfweGycPTH52QnJ7Baf3VrEKfkzwm9lsCUDl0+CykX966g5LCU+1vw8Ttb4kPUYhKEVBkBROAJjAgzyieVEHpnaz/Js3xLesjZOGHh2FhepK+g49N+JvKoAzNzJ6iKecY321nNyWLQ5Hpv8QwmMcXLfdjwv9bOsc5GpXqD1KtMdGi+tnaR8AnyXbu3MXflrp3qvbbOyGUdT+v/LaBEL7HGAD81g2vIrKhkQxnDu2lkep87S1xYG4zx33NXaF1SdpjT4DHN/vaMzG4gEOvcuOtE3Y3C1SMK1M1YeRmM8B9j7cYMzFCNvQO4RffhuCxJgvZMGhv/mQeTBbBoDObN9hhEKFY5v+x3O1shZNzCoie6GjAzjJagvIRlrxQvyzKskEPmQhkxul71FBLiEW7RA+Lx9opjNWmTc2NNHpzxxcLDluG4MOj5FDmc/+0w1B/hkSjZTz6GieSC2g6E48yTQvr02gmfjMFVELUD4Ig+xBdrOvtvSGpEofQ/0vL+5m4ytKbxm3cP0YOKHVgyETtlfCL+Vf87YxrJwX7Uck9TvEXSvOX2pd8Ohw6DrDRUBF76TF6mOKEK0WhnF8xNYATgNttrsUs6n5pRS8uhxyhkBILup9pjxAVX5jPj7dzmoaU5zQ1IABB8TgjwKg4Xvbt3QH/FxNcYqTcL9+QCQ/yve1/B/UFNGa4R03D3DSS27FWq0u5n/3XfzO1EnOsyplQV/NF/AUzg9KaIgH+HfKxYH9gPZHkS5hNUyhV3lp3ac2rBXwF60Plq/fmYvrJ2nA39DxShMmxzoM2lTIXdYiMPQ4JN1zem8icNi7feJ1razOIucJFuBlTpovNJjVernGrSXlHmRojVrZYcFCJI2p4i+CbxwihCEyM99C0WFAPy3ELc//uVn6be/sN/cwOtTxlqWLXdSWLNk0GDYG0OHLoEPH53t0OFsVfuP+L4JhnK7vyTxBRS8Q+fgIJAhQyZIVtsMrQM7EnnbcBJv5aJjGE2eBhrzOA59p08LF/g6T4v2/RwGUQPEDkPsCl5nhlicLkewGyMf3ZOgx9DDceTMceu4Odu6s+nFLufcwl4UkZsrtrfsT1nYadw0Revv9C5qxlQWLlMa1jEaXuWjbseJPLEXufYa0A01FODq3RbR1nydBxM1Zv8KIjMBPcgOQMg56N8l+wVk3iJYFqmjInad55q8RfjLVGxKo/GByMEYVoFFDeFkBMTifrOWgXR3c3J7fnFyNr4fD4dMNQk+n5zdye+dTSfSg/Fsxh8wiOw6U7Ui0rKj3IRtlBXoCeVOjPwCyBMRP5xqh/VNJvrxWnYf+iPszAcDBKwfXXEkWZsXobNELwUd+5MXZPh/6ujgE/OwKgOoV67xgHJWJDiP75XkRv9Iv9yXADwjg6zLM+rHCTIC22AY/hFnsLdA+d+aAIE2OfUlpQySv8V3Fp0HqUd1LvyJQLgrocDcjx+BT5ij2k6cIO0WdBK0Y88LmKfmejz56XJmsYksMhGfHsFFTw7AnMbFclV6uAbD3SdwZY6vPNbSthlTWGcAKpuAeyM3UeDqHPuNpcOB5FVEee7Djigir+Jqsk13xdxYgK0dd5MLTn7i3oBvSkkKJ1YUp+syvkfmsbPEdzvjBRIBzp8ALFjoFPgXjJgMaRBEblh4PvyfkIAFiPQVln8XQPzPndlCWj4mJOLHyMxPOhVcvTzxAyZBD+3OfK2nKMrgMBBKiQV8F8bRMuN5J0PgSP0kdFziERsgxGZUXAGrr+JH5ALYZkkcETng4DfdrydFArvSZ35dgJyfSvqsMf5yf3OI7XJ7PrsaT87t8dXv43+Vj3jhk+VZuASRlhjIzCv4C7JPeeaRCYjQz6jUzw4mFqVFWwRPPpqHBrCf+RmCY13OsmrlvqUgp3oPzji6QHQuE048EHpa4dcahnCMlWcYcOsSnd38sN0JUeqmJA5tu2jY1J2a05j/mUplC6VysNhygSNGZABaCkBNQA2wELuQMY2Uja1su57HJFWOx5J2Jaki8gCqZaTh35JPbTKoVYD3CGrDj32JAjj/rIDk0iwCPy3jWn0HSb+WaYo3fEFQLUHXpKol1daUymUbDBlIeTNFO3cCMB9AKVigzoFPLQdUpbx5CrR+s5gDeAai644OKHV7XeTMTHs6ieEydO9YNWD79cfSfy3xpU/Cz/WE2Z3C9/RfdzjFyA4mbgJgrYfT0cPVeApLfskjWkOn3JxqzWoYmmsHwX/KJzNtL1mDle7OJtaEJiDjppphtIPGcHM5ujuZNUK5CpcbE3K9/jRRdksHiAQgFXuYLQES5uFKmp6NiFOvqYy3e+/bv4XEIJPxbQUIMzPMpZlgFvV5gcX/zh8tR5afr07fjxSY27nTYPAB2F8XoPe5cUqivEypwFQOogySCgKQiOy7J/hdC74rHBWVVmiRNaNnf5bFbgDzedZv5+N7OALXCU4vKEHN4HaFRpt2xbn/2nFvheEaWkRjuQH0TNKqAORgGZH5OBEmM251hk7UCbCBz7UPtwf41l6QQ6C1sAuS58LtMunBrG+TEsQuZ1JmRAMf/2kyQyez4gBoA3BK3pbO8AR0207VRZWdsQnSvHDCKyli0ZOeoYhbcLL05WKIQ3nKYAnE5/oZqAlH4yTUhwOHVnDAmeGnkRPaL4Aq+I+mvrSccZsQTtFWFYZkoCAqbnmIzTSD+1L2TUOpaEvRqLm+96Vu7OKFbygYzYOZLbQN8n0F54ZdJu6AgFkIgkXpeGCDLTa4yhIadQmkvejHrZFWyZ6UoH5g0F4zaIE6VkkeC+lORnefz+3Aq+Hh9C3VAH2q8nTub0fMduZoMlINmVbWEHiwjlinh0bYImzuEZt7lAlsPpqV0++8Zk20e4IcBuzG4xlSlOMgBBFiE4cgieAda2UGztnwrlW+exBkgdgM38Goyu5YnQ0r+1+/4X4lodW8wDJhDbBpYji+/c1AbnreFv+wO0Q42mIXf5NS5Pk2Y8GLOiaa4lt2PMkeR7B0KzgHza/SOxv+jqG6XqeO1B6Yp3ANURPxn4aD55OGEiT4Rvp0Hv3MvYavvr6cGEnCegjM/gdLBA1nh8YwrCruPLKmMRrXKyenbj6nJlfgW/CQxyG5SQMQbQJ0FjyuApeEp7e0uAJYCCxq8t6iCBf4CBgKROJWmDGKMeZmkXQGeJFnjue1bIaqriPIRMP9MchXPQyqFhw1Z4lEsB8bDpDp5UTLA0IoKMqFx5Ufcca31nFKyBvBXLxKhQT14I9hNfM756tjrYswD6wNfDh7j+WBwpwEMpwvwJICElT6YAWEMv+0xlTzPE63/0TXEZ1WpHCNLsmcOk2QapYQMWFzshAJTDESfEA0zAcAZehiToAjcHkcmDYLMGjywXJIXwM/F/oHEEZdIvcEhG4ACknGzOi3PzKqffxgffpgnX6wRqPRByt6P/qxx31Vhlo+9qyvSaY030iZzadX88Wdnwsv/Xf0A5AFTJJwCwRhz3n2p5Vi4wDONmkRRSJXWk1GYvtJ4G7O/GzGkXUThVuBeZCsgbg/hbG4zWW+QklCuiyQ7Z9ZIh71PdSaqCbTWE179NU40dK3yZK3EPOMeO0y6sjD95CjQRjBjgMRg8NZGgjqjS5Bicd73FoRs1XSMGNcn0pknG+pPMOTYGT9DgyI4RKgQk7DRRhLo2JVlEz4JRSO9PPIxrjfkPilBxG9PfCpyeXZrTXHRPhaHGKQZCqpB4JQg3Y+lS1HyjU1q96T8Z4ByiySx7gIPUI44ojk0TyJIvVd2wGoSgcC1b0yJMJv6oHbmzo2RKfSS3oes19BU8ryIDcpQVeUmNDCT5u7+W3QSPJmwKTTKMs4IIDa6E745YLM1RqpFF+16LsKXu5NH2h3C3YktoKZYOBRK+eqlZa0EJUk2DtLn6QOGESUyc47K+O2Z79NYBviNOTcwkh6gQrhHtJZjWy2YVkQqyrx1WdTMGWYKF3x434Sc19XGnG2clJD8H5f+SS+KuYYoJ3KpDKd0XLcNM5IeiyjtU70Sam9vIl0o1eRSt2SkdKaLcvzNmk82OPjDyYktFKiucCl2TJsju8+F7ipdr3xtCpl6VB/blXl4TtYgtWeN9nzb6Z1XjQWta1IuMFZa+cpWBdgfoCJlK0D6pnAcaT4+B1srPkWuPh9Pa2wf93fUuKanuI+ud1BUXdTvWJFeK83uQre6SxFadOCFy6Dk9aN92FTa6TUO6sU4elqr9U7k9jQrUnKRehsNCr+BNakIwYfpMEa2wqYpjhf4ig5FG1gFZFdsAFCMuvV/iOOzDKshcEWDsbjxiV+QmI14hEc9BcKt8oHbnga1kTdsU5F+OZQugwo4VjA9I+gXUsPncgJt38IVitxZhBmPIkcuRYqjB1vzhrmti0PM1+MdOvLyMNuIH4mTUcXDM5MZhDt2xhouA1MmbtcRjZBG5+bgcP9T4PBKd3Ou2w7Dg1WWQ8BYi3mHR2etcnRD3q1eP7h8yA6qR/A8uOSx/dbOBF4ZUz3uhffRpxYQ5jTIXvXluUAcb9wdtHatTdrIyVpWqznNAJHxwON+j9Vy9ow+iDMXyrgdUf5/nQ/We/T+U67p+78KoiM1IbO/EFOu5B5mA0KExpOaY2c/lNtbbJUlPT8wUN9yy061ItWLbBJi2uTSGNmo5FpYHiSsTRKqX96DjX65JP9qA/sSx8gMXosRW20qzOkYbAoW2NWmYsYDmRf2Dcd34xpclT/BaWVhz4RKUN5xZP4Ku4kbqPhpDHK5WuhZBctafuICPhnLSuchEr+ov4oDZar+jNScPYiVX8xjL3TMn5jr32pXJS5eGdVG+A3Z9/wuJ0dJKbqBI3OBcnz6hKHMsj4Cl6yvXII80yR25vVtujzqSP3XB0ZSoAXbkRyyqKVxwzKspOCOa67iuIqvjpw3XcxdO8EUvBghzkJjC3fO8nyNcJYluTUgLuI00cnxRSmmZOvdog35E669HOadNcp7/amYcgaZtXQgpEm9d3AB9OQJmZwD9H0wmJrJV9bUgErJ8sConnsxo3rabqWiI9hbbgwIzAtovLGLvQMDKOGKhduQRdQTMESU9DkNZfcDhd8pACMmINW9wCIuWhs7A6XV3TEZNIiZP2/28KZLMvmFl/cgWfFVTNY37Pql2ofiqU8g8/svXW1keH5wBKpMCYe5yVUIuuTVNeCNIcZDQY/rdajgt+4DxWZ5duqs0pGG+F/W9Sl58+UUMkC+Z6PoXfbDG78OUCO7H4JjvJQc+Zp4E6aPWS7XJzlpWvVoHahSz4gd6kF8yYK8jhtzQbuEsVNgPvosVtqwcML6oNM+zcAMXusQ52WyeV0ugnJUjuIpkN17TzZ5JqX+nytJTXVuhgbnh+l3z5Jv52y3zCnsqw26AYKYdd9FeukMFdz6dtYDLXU77kslcAe+0q/qb7ShtnvfSJHL1l+40deL51aqtE1+FL/8gm82mDAvR/tROOtRx6uhlCqYRmP7//rfdnOxHr3cHESgj0Uvi9Ln6+oIaJ7YkyeIUwYLVy9s2UVLFc2k9fkeDVQvupjB+uam7U9LB5y7WSwLEIwhd2sYgUqf5+WnQyw0NDOSwAGl1H3WK9BA0MtHENsGdHH3r+9O4lDYiX9fdTkZiRrasJj+zrSQ5uCgf3tNuhu6L19TodCgzSVOqALVyaRgZpQ54YgIgm+Uenzg51fOrQMqkQ+9tJgQHWxgU7T4PKnnfDaAxJco3sVyonKOEIj7zpIU2Lk9JpX2jdn0zPD2GiSoBlqLuHvLupfsvJ1aBB0mlyoA2wHvGFDyoPRd+OMI57dQF4iHh0pK4bVUXueUIISSP3FBM74RnFL0sCbJvPcxlUuWa0Nl1EinNxgpvLNdaGulwshrJNRnoqYrHSozJ4d7/PgPkFVnys9En4L7mne41EGgM0WiId/D7U6qmJ+jfSd2T5JL+evGMEhJa0M3T6D7i9RJKA00k+aySdi6olGz6r95CJr2nPRYtgJrsjtZFue2h9tbSIcfs6ysAmWHtMRrDkO1u9xq4yq/w65/SBCTa1GI/0b49s2MgMWL7kN4y0u7QXPjBsSmhIazTGBv2twam+xIA6atTkt68HTIhy+gXlPSlaeivQPmgqDbl8+TkEEiYRYrto1jWdC8dm2qlofbigbQyM5fS4jCsC3itW0VvQFeOH86KG1ZlCz3LBNWrVnojdcaIqU6Kjq0Mb9JLwpGM1I97p5xLStJHHLtIB4uWCtEQJsXpY3ug3gEzJeyJev4BZEZdmBf29gr/3cwT3fAvlf/e1PtLcDvaYNmyHw9kC0uZkCzqboP2hXTHbZsayk9NCfuIuwFy/lDECryPwPCHNCuleQRnV0iNjmbe64X/1oz5yjzG6oyVOvmcqgJPrOoCiSt2sB8Waa9l4+PUDbcz1xO9C76jIuMfFHe160aTk/fq6SsyjWv1grwCPdBBnsSw/lWGq5qzjOsOQC0Ahyou8wRV74bLCw4nWQA4r1fn7PT5LA86XfQ5AzSAXpYeZmgfSgyObS72hNB/z0QJ4vEinDtGdz0RFKWXYACcZat2/kuwF6QJT2PbYHrOVy7AUyMCHRdej5T21wUUcowkC71pXNLgkZYThh46wGVt1/akwx6fr5xmHKuq1gDwxa408GWO94x0fSRQKUuevP7+v0amtPsTfOV916/yu/9R7+5tlxFG5bkDsntjq5Oo81g8rImBMcYzmuiw4MDHVXJ0MNwbpTwBSvjtbHY6oTEFbA1rCgXAMjFEHWccTuunNY57HUXsl0lgFL5wGsRLq1vvrbE1EZKPcU7ZwIilUYsKZmKz9M8JEgViZEXaw+SoUDMrvzjRWI7NFJ7J5NQbYATyKE9z+ghnn9+VAbwPNDP/eBmW3g9nUQOR3aAa9qw/a7rKNYKeCqfmJ0Ro/26OV5tVKNE2xp/rGGcrwr45PEFdq8pQUL3g7NKfs3VzIavdK8N5LYVrghsHcDs2lOwi5MQmdr96toilzTXbZs1eemq5snd+MLb3d+fP9t38GkTLdJ7redvJ9Zf7iA8ijp4ywCSEtX2RwomKM4H7imHS3eTbI4jZaJWZK209b3F1cpD9ZwnDrrRKQCQ5/KQCE+zTJT+JBeCDiHdpws4i3Eu/AkNxUbimenxVhrXy6tfWSlziOg4Oao/dT1wr3Lf1So5LprM17FbtJzqpftzKy1epIG01B/TW7JDRSGLp8qSMxqYGZp/LTVdH+2xy43p+Q+QubeU99L2Dua3hZ2jHce453HeOcx3nmMd9J/32m8k0U3by9u5n/3XWWqTP9Ftuw2lkyIvBC3E70S0Pp9PLXuSZU4lhbyok9y4pGLZW8vGMDnuOfIz6oEYpRLNEVSLCPhdyl2x9OkANAtnaheP6IXCL5GE4rGPnfK8eVBWsXdOhiC6OyYOkw2ka4il6B6d2zNrh5O31k++v46T+0ls11RT7VDNNxUdN4LwRgSGIMPfGDNwgSIytgdv/6YZB3nI4EHz59G1t3nSc9SalxQ3XSI4hXLe4Fv7NI7hEDhibx5X0K7VoK9Al4+bgDMArwAPYF5Or5HIYrFP044aAd3pUkybbSj8mQ/VzeoG/R3HupZ/aZONslgBWNR1vAbt1iphpYOamIPygAOhqztLDOkD59mMBxEu7ZJY5egIdS6gOm5TIHNCFw1vGh6EcaxZxfR1yh+jOD/ges0O8Z0d/SCCayrU7AZ3K+YRIWFCjsuHDGZbNrTwcCaoZYWG6Z20eyJs75pz/aXcjHCM+Yp7dqZZtQ//+to/G+r6NDKSR0eYh+v/sjExvwvlNufm6tfTX9+1kFmB63W9TLdeunqVa1y6ddQYsRme731zwJEdhYvclCl/N7l0S3UMbnYtlbc067agibVb/eqfSIPF7y/W+ysSY8j382r6zVbOJznCmvYby1uLTnVYnJzPaskUXWxLZEstW9q2GQ63/wPYem/kA45VujM/ZB2dvKEWySJQVfd/MuBA5Kg8M9GFmrEzjoBsKyN6xNCspc+WJsIr3dNT4J486l2gnGEMjfupaLxJni4kHn9/PbhcnIuPfv16ubz+EqXOuEW08VoN65Mun6YwD+yHhAWfiNu7Z4Y+o5l8auaMsJ4CCWtXi+vtkTnaOqcwB/5SJqXy3x09MMPF5PMevdwnb3HUmKAij0dcTQRYSrF1dNz317LN9h09D7eoMp/wCGUaEi9MJ4Lxgybgsb82G1s8y3NZADO4OOz+gby3VUUh/Gyr9R9p21UfqQ04B6udqtTVoLDkVrFJjOf4++/xfrT0xtIa9kO3d+oWf3jaobuT/L7u9siZ33fm7HxzfT8DvzA8nscitkFju20aA7nY9SqfBVKRJgz55p2aew8FfdQBtuR8sBjnAwSIUAjmVD7yaLjd1SSrmh26i/a4vrqPmqCyXWoLJ1Wv7YcRdaBveYXeAHAs56gQrvtJqvU2zAwJNhQocl2NbSOmG6ZFJt7xOYelXOj6GBzD+Y1fMnOCzh+dNaKRL3I2y9ymeAJD/q2rhRHBd61yndfIjI96QWa0kmVXbA3TswEQ0XMDBjKjhperUZootYAupaL0nMP+oDMvzbnlsH8quO1cZt476nauEfcsCSP8R+xDljFA1l1ceygRhV4bF+Np6IVO3TKzWnPrHucbRedAmZuoKuIF7fudYNjsnHCfDvZZaAuAXUEoYSkP4DedFQ+Dq98SCJ/D/rHYc4/md1e1Rn4LPrNXpAFYjN836Kl8+oU5zeiXKnaKjSUq562Cq0qll6b7IangcIldlugH5W7LIhf1Wi1oNlUrHHVcV8MQLwRWaWpYv3oyE+AD/0URINc5dabsLj2YRHd0cQPwhh+buvZNyakpnlcxK3OncKED6/JJGKKZlDew4ZvC9sjyLnDlTXphnOgyDDrxS1BqPhMddRapDxV/L2FHxtIfMGyVrZ1KN7U9S2NaHHa0slYyOvXz9LzdiFR18n0Ya0WhINKaE92fx5z4o2sd+XNK25zCRnJM0rh98Z4KlhLG3FlQZ0+/opqO0qHFiTk9A8JiztW2FkiIjYR6EdEjpfpY3Av5DyK3PaBNlSKeADqgzUp1gUKHswbPPPD3PlQW8FfnWIJalPkWX7ujszZFYdr44vbdhmn20Fcy8bKeDcxZtfEfiAr8aGMvNXQ5sXpPYh3LH39Otpu3I0bVlplW9yjxFUisTeJ27hVqXslX7ncNcb25Qjb8ydQn3EL0TsRDfE4ylp9nN+crF37a4lUR0l7CEl7/UZ0W8pNr1DC0m58OMvt+Jr40lySLErqmxX3D/ZhdpS5+ji/OZlLLMAgTnpyW45id1exS662+inT5uJXLXtLrnqF4ne88cmmRRwsIxyOglYf55cmaA08RkOlLO1ROcJ2dSPWoO8oddXcsTepy+j8hqSuisteoRSu7kFHTCxjTF6/LK7mPwrkbsQHCGQ3KWCnhGLT7KMAPoQAjt6Ixlsy1CuUtZPZF9KukHauBfxJIhOcI3GRWZirwruO6CH2+kXvmdFCfk9S93n8DSj9XMVNokfhu1/h+0Y8vRJPvUL5S64/WaN/CGcifgdW2Vp5ewk3Zv7R6/sWpPAzOyPmW0VT1qMsPsriffggCHO9QqFcReEQjaPj4Sh89yd8H9Mg949i9yh29yt2BbZ61QKX4HGUuG9G4j6P0wE7rkXu0eeg5om9Cdz1G3H4ijz1CqWtlOVgisbrl7hH34IG4nvzLYxSp3mdyFHw7lnTfVPJZWoee8WCGMF/i96GoyTWQHyoJC4y6Ubzo+A9uhh2E7uEoV6hlEXCJKttBmwY0otgA2A7PDf4zOTmHNIj2QkizDyjLUZXsUH24FEa6+P8tqSxmxR2kQcmN00dZfEAWfzjf/nxbUhjzlCvUBZzjRfTzhCF4A/5/tw+TI5SVh/nlyZln8fVy4xDVjopcfxR7B5V4L14HirmeoUiWJFxBmxlUdTItksC2itfykGjOnGNnKgh806IRxn+BmT4syVI8KKfo/v4GUQ4I/abciIr2OwVCvO6B5lg9RYr5t6uSH4etVrILzqK5OfQqt+gMP6uYnlvLpHtKIH1cN/RsXFMZTumsh3IrfF9ZbQJXo2jFH4DUvjgQbyjyFUicWwXYYgnsNIrFLFSo4g3JFCP9RnPp9vKPrmjvFUiceyPtqueK7PZK5TFVYO0N+vvfeNi+fkqOY71ysdMikOL4mPZ8lH+HuVvTf4eewUfdeEDCuBjk+CjCDZC/KWJ4OfxTKRxnB+v3XwGCfymrt0sueoVCl5+4ybicLxs8yhtD+tzOCabPYfj4U0lm7Uw2SsUxcecszcrjw/rgNi4SXH0Oag5YW9Sd2OSCPCqxS5hp1coXysfwyZI88IJMQsiO17L+aYl77NqwsfbOVv54ng7564a8PdySecx07cf3+9JAj9f8sOxh9pzeB/enuQ9tlKzjkK7H9+j0B7ce/jYP+LYP+LZ71r+XvzIbzWj4iidNRDfa43HUTwfxfPzlXp8L/L5zVZ9HAW0BuJDBfSxZebR47F/Qfy99crsaZB5bImpg+9RMpuXghzT4Y7pcAcrBPmu0uCO1yi9Fdn7TDUg5Q45Sl4lEkfF2AzNGle9QpFbVT6/NWF7rLo7rMRd+2tA95h58Rzi9vqNyFuRp161sL0dX5P+aw3nwyKN1+RJ5a0IciFTuUZKSpA3JLWPKrIe7jsG91ByuiA3j4JbicRRTzZDU8Var1B+d9+4RLhZEubIn5l/9B6/BfF8WO8xU3xSPws8P8qPYlmJxFGfNsSzxlavUCRrqNQsnlemOx9jem9HKj/nnUrHFm/HFm/PccXdK5TSxz7HR3fzAQWxLGFRVmajh6vxdEqxufVdPwEM6FSen8IieDZ62mDB4sx12JDbOKZSRZTR/PtpXORAcduNo0WwLFKSCWUHEWz2yAkNZP4tnWgizvMngY5rUMTYV0+sTehEtpNlwTJaS3r/gKNKwGvbCSGSblx+sxyd+iEBNlsFSX28+LdsRAdn93HL2sxgta+DNI3TOiE+b2dxGPBbsTSWqnlGuXEY+i4st42v1hemtm9kYcHlONszEz6TNUvjp61ACMV2TwjctnzYmH+TTkO2aebj1wXpW2JmEbZbOK4QclQChc8Sew10aHCoCVBkGuQFegLWwflgBSN/ZE2CzI2tn//bx49POlBt/Mjje3JXsOhcnYB1gaTaeVlcpK6wlJp7R2Lt/cgzsM4ILKPNwmXsv/KdHH7cOKM7P934SsnWO8lEEMnNbeR46yCyE5A9pktERgbwloOsijOAEPYIS+PqZARixXLIp0fb4eBsnCBkK2H/EUdGu20sDLZwMCpybupjvhGFK4O9NRg2UjNrSq7LM1gqia9p6S1ANsfOjI9BvtoNIrtIPMDQTgTRqgcfFcZoQa/iR4TISZJwiwoEmfgkAPOBzN0LYKkI3J5//nJ5ddYLOQryCJkoiHJp04D+Fng20eIku+SET23Pbs/vzm8fzu3z2W/n1+e346vaa7Or8eRcNZQ9A2XJAaycOqn+ngnJzzJjpfMAYAV963/c3UzLCZBkqDv5jPvBDtiR/bEgG2gS2jhP4Po2d3PAD14dXuCf0HdaQJ6C+GDQ0KOdtkFi81buE2ZMxv0wl2ush0oBn7KRSvvnz2ruAfwpc8de+bPJeJe/Tm9u+aNF6GxAb9k/OejEA2hxd/lvByKFNHOTOuUCmuD/JcNoDK46fUhkKOgJT75b5NQz6IZx4Z3A+ZTrk+HHH3tJQAm8u+hnC8VlP2z2TsWlC6Svvrk2OmWgwNjECQgcQfR30KVQ44z3cXyDHgITMOOpIbA6z27ryxcgWKVGEG8SP7XnPnqxmF9B4ExT+DJglRRViyUYfM2WXWEgOJ4k8K7gLxQgOoFFJiCLm+EqX56pdPUWjvtfws743xr7DxTXdGtn7spfO+JGU1CV2q+2h6qi0XnhR8489Nl4i4znrvUdeQI0TzhYnVCRb7B2kjZugD8hvRdBiH5Orsb9FAMk1MkkAQeyD36fc7NRaxX+XaDkf+53FbJ4kT86qc/cCTYIzyjD6Ux2xG8o5CsMs1VchFju7/q4NszrQ/UQjis1LNnHBRDdhjdCi0Kzm6srm+hat/bkYnqIk6LtE/W//XY+vm/+8f78emZ/uZUVwH8b/218a1+f392Nf22cNzZQaO0MWodK6WBLMSd6H8yW+8b2T0ljRAwxv7+5ubo7BIXvbi7ufx/fntuTm+nF5a/yoTz+XfpdBQx6DqkTx4RoE1Rk45BqKiveBC4DexHMUHwFSPa48qU9DH+mu3y4fB9An/GX+xvpwfV4+qW0KUyPWGqwk2HDDykQMV4RAretZDT6hGZppcABf0JwtfCcB6sk8d1gIVRDumFA/D2xtfLDRBacYITvKvINhCXsnjSYF0LRhuO6fpZdzjY/mypcaycqnBBVYuKhBHSdkDhw0S9vJcUc9GcLJ7YczwNVhXfDEuCrId7qpqDjm5UmHSca2FlEhQAIuSO+mof4AYB5U/gVjjIP1R38ImhRO1NbdhWhBMPngpuJMu2IATUaU6Auo0VcX5K/HGpJ/rLzkpSWsumWHf9+R+IXABJqQKVlLO3htq8OVcEVR0WrOAAZavKJM9AKQGvyABN6PKGP2ZnHRW5xN2HvN1GKgrJoF2lo5CCEszgT9XY2T9b5wRZXppuMNqcj/yl/oE2dr2lixyV3jk9mBn7RcrLJjAxqekTllZSwYgBYDAKrBEHmESV52jetWqjKFoqd+ousBSq1SZKNavBINs1etNs20FnzbZvJER3Yeb9uNuQFAM/Sh+wyBmOr8iQkZDgSbGgVvhG4rI5Yp0zmXsCH0xGbe8TmHpVzj2bl3IN5jRwweZHARtdYK3zbIm+/yGWCJ7biWFaiAu9WR+9LRAYLQh5BpjEgbaLGGUsnNkt5tJJZ9sWJWTEvv8RVhhl+YCA7NhXBxT/sDqGM2sXF3yT3GqcESwyoY6opmeXzVlYVQHWr4Bw0vyr5YB4Qha9+0NKIuBR/5CraZxiB/ppyREsI8qPwczNhgBpF9IS0yaqLY9tPUjFKyQASGAXzC+4E5hg6JZzX3bO2hUDDPgApmzAuMQmu8pn5pGyKNo2CnYNB4qyJgFV6vNt9jpez8TVslYVP19U6g9EHM8lMxQAnQQqG6ugSMLz1FwKAHHeWNzEAexbtEPD3Xiz+atzLdR+85M9hgCvXaodleh6Y4fQBsPXNb7ZTy1AoG/9t2InzTuQXeRpHozsCjO4p2G+FsSH9Jx0lgnL+9hWn0GbCyRtknIcOssi2ygJuXekO89cH1YVN+rK58bm5TqWUACcCudaKciSFXjIuX+7TSIySPG8vzhFf7XRBVaaXbmbnIVMuW5NCKdC6iZc4jU/zLtsx859eN2YdiW141mZdyh1XyG7xxR2STHGXBU3nrpaOUNMM4D9XraJ0bGXb9RxPUCpNyzQiPlnpKMbJBh9Wxh7R5wCredLlfuREuWHeQDmolwqHPEgNXbRtdmRrWkXFz9UH+pMVyLB9nnQq+RqJZhT+EyWH3lFBMrmlvakysCgA2knq5DOltMR/hjZynyd5Ss/RPbuhiU+udALTrAyzzL+L0FliZI+O/ckLMpLZQdx3pa+YZU/U1TZTyUJr4w237BktqMf0KKY94pyDYfhHnA1IpquyzVMGyd/iO56fj7l1hH/ozZEK/dY4r7nbode3o8eeR6Lm6OYbT366nMk+vdLTB+BiRjbADMrBcsVqDnYg7l40TsE7yCbgHq9NFLi2XP2lt3Q4kFVMkiRA0O8jr+JqsjN3xdw4lWDtuJtc0PnxmQffdHPpUYRmScgekXlsDNDrmw/nTwAWplI4pBoxo4l8pGYUL3pCEtSrKL9lNhQTEvFj5BvlUIqxUq5wwCQYGt+ZrxunlgY4DIRSYgHfhXG0RPIPhiP1k9BxyYm6j4xglj1ABBh+0/16QrOCKx2uEQPuZQ0pQ2b/CdP2+Or38b/eSX8SPvlNUzb3wv+L4Akkf2AC+5mfkXy+y1lWrdy3FOTUZYAzji4QncvySlIh7mbCunCMlWcYcOuS5DTGe0CUVjbhX7EyxkhzGvM/U6nM0qa2XOAIlU8ILQWgJqD0d5VWlvfeLLcdSLonQ+2eDGoV4D2C2vBjX6IAzj+LtD3BxLe0zM/sO0j6tUxTvOELgmoJuiZVLfm15AbO02+RCdTi2ux3Dx/WM0wnMVyG7h2rH699Ztco/ttDiPiVR3s7Sddmw0s+hcVm9DC90HYLNthnCahgiwlnjmeAy8qlSUvPx1UAxiJmdsIXeLqt8CZOzYUnUh62Mr4MhgsDBGUB7tEP8MPSB/ZMaUZoTH4s+8NkHwjr3t/cTca8lq8UyusEownvsveoVWIlTpRzEQdQUU5qOhw4mnFqKNh+DeM5Se0sGsKW52Pwr+I/ZX2T8HHMF5RamfRDcMm/SDvlsBn0vw7E2ADURkbJjI0RvkL6Zph81Cvc3NgX+VuxBsUE23gTd45wvFMgZnTe7o+XhSkDqH3HxirorIcxnkLPiLaU6SaCoGycYwyJ8DeRF/Tg2USLNQGm81xtKQls2wPw+Wvc/UIyM5Eh9UUyOGexLXEY/EEjS6ETLQtnaeKJvmwoHuKMVjljNy/JWqqR54Eo27YSDTNNikykhp417cpY6ngekJhusACxLWpeAqiUFLQDCLyqnhUmZN0QemMsobu2Ua5T/7ccEFSrDJWBR47FaHHlrm/KGdThPEX7qDkTvdIXRc+UuFWvJtdWBWUPSqz/FsY3q+k6Ga+bL1rQvi4/M+Nf6cO3gkxEFGuxA5dIBlZKCyiPepAk9cCF6cF72Thoz/wkjLekV8oFnZLsfOYL7D+TOBwHk4xnPUcEyEPMs8ZqT01+ndG3+xbLsdi0hBOrDYqrB3QhgsehVWluETqpNRUdUWcXWPoSp6Qch/rUuGqHRCUHP3K2Ej2Jm90gTtow3JGLr3FuXXJUcQSBFrBOpK6Rb9bryeXNLKPtNgNRbhGDziuZrcU9ACCGvq020Vp92nc4qGahAWk/WNjGhRCFNGN2cAHykXXLNVwiYgQQfdBOtgQEXDP6OvGO/jAPlj+UsmjlYFG5H1FgPetxlI5gWiLJ2Td2WBKCTFk/pez8xVK/AUr90ClhfTrwCsbVDgYxMkoHyxHR2mjDyCg1TqvOVPw92Ipw+qg3bfU237Xwas0qczJvuEU2vjurbCPyCtdrrY+jT3sweIw0sLT0eQBcI+uS6QRlY4M14S2hGFPaW7cXE+vnT6enCiijjZMGWh43HXj/Q/ioAvbqwwi7U2r7QQQb349wAFb1gSk8gjVAJYULAIougxUEZxpnGR9O9rQ2WTqIoWe4GGrOCusRYS3lGe78w325CxDKTP/v//zfjIHBgVoUEekeZ3Bmt7uku9uCMtWGPOL9gzx2pLCKYsbzZnb1AFIlNetb+KgApY6RqfPxKesFyzwbWzNqKOB6Lubtg7F+pAtk9J9y2028blV7mGlWPylB9JNUmMSTKhtahZVscvA8x3ALPyYx6ipghUSsp2ISYxzSmIM5EaIVlgB7thsWGXzGVnmBO9FiE0zo+Ikw3Gw7iviPySIgTogxNR1FwDi2uZMu/dz6azEHAvnYJ5qhQVTYwLPKkHMXfdBit7IiyGlfGDrDqHZ6k2PdKyZJ3xmOL06S5inulWvKAzN8ETcYsp3DQ9TSHFTaJlVt9tzB9SbpHgGn6MPZF6KQY/s6lt1rPVy1KAGkU0KOdY+lblZfV5xk2WYOfqbjRd0Ozy2Ylqipme/GUQlggzF7eaAllr4k7TFSG85BGOiEv5QqWr32tiolbGqfLZtaVsfZaZxJ2itlilrRrlDvCuDBlHLnYtJqdVZzjrB7sIA0k5nKNt1FrAh6LkvZKMMItwIubB4w7poHVefSo+JJRvHdM72c8Mwj1ge5YtR3/mg58vPV6fsDrPmQ5ClZiJIIBkOjZ1n/2PuyGieMSIlT9JFmytXcwVXPa4MR4yBWPDoBtfTRwTVWTHzCr5qQ/patnTQ/iaT26fDdNPCkuxlOrCDBrs/SozCOk7njfm1gVn8xyWVMGy/grfYnNN/qezM9K8AbsVB92BtBUSPYcbQIuyJvmZ6HUvNdQywxCgp7Anb88+M54d/Wx/QmKwf9ivlVpig35jz70qdL8EAUEjmOuB9KpaIxahgEz1tIqNpHuNe016YkUgdJ60zTv2a/xdgN8SZS0HG6SGZxFlRmoal/hfhVPH+BzTSZaTG9mIH+Qidt0auY4ES3/dxfOZsgLozCq4Jd45D6harPKY2Q4+xgFzkLdMLCo8kMc/nuxrPyzBWvnZAbKjHHfFmr6lkClc5DsrzvsveV58/4hAJzRJbsc+nXxaLjUOxYQQbb/hayMXXrFqoWVHP7XJQDWncO84PbflhTvDUEXG16vX0iDOw/esQ0nFPFulzUKDLwxgnxGEY5YyadaofwrqtkQI6XrVSojij20gWw3B296WSoxxnT2cqrmjxJk+aBIQogvXFdMJxYpS9DDwQR17ZJbIpfwMJzpLIW6cqpTHYPG6Rsq9BhEwlkaHe7yFYCgbEE0l05mNMExMvywM1UMc7Sb9XF+Jm4Frp8zyBvgxqEHI9I1xwjta+OXh0nw+G7z4O8Ff9okdiJpDlo4q8QKWq1UTh9nkOGd+YDVrr6MOLKG4Vvau4GwLgyjTCjc4omCWLEhCkWhZtbFs83rehG+qU23fBV3JUmnPFMCgfzCImqlbJvTS8mLQJkH9lXPDh79qVr58sTDf+kKs2q78vYztRWOnbaHV63VZ8Zhwl5llDJcs6ENE+qANIe7oKxTf8ZdLE16dGy2AS2Uh3VKCVhHCoM5/6q6cXDpZijU7lYSSJZDQ9LcPCoF2EwfubpPjtk50jeZOq6OhCOLckrbnva0cYrjDJhvKIn9YMeiXqJH4AwF4diynJbMumjTS+g0dVA7h4v1z1qB4VWrFcQLi9xLDaDhfk6C0ysrq6EDUS7T5DrbYiIy0gEhul1FMykz0ilHWE4vHwPW6BSWInWxL05nlUlYwFjul8dyS1I0MAu9wXoJ+vgD79yswc0skVx4Qqi5eRU/OTB2h8RlzT+KlEWS7O2HACLhOVJHTjQLmOJLqnPCxAJEYUTpsxzolauMOncX+CNN/RGhox1kSaYXV735bvR2yaI+tobRkOGoe9fBL0JkOjbVS6gmG+0c8fGLm3WFbWIOlZtuqKmm/CT4udWZ6ixb0vzw3JFSpfm3FDs9ZXnunqvpxbu3uuhoRcGyfCYpph9WI/8EdEQYsIvucLCpzKD3XbCCMhgrIr8O+zBxOaJICai68dL4Qphv8wlkXRYocdAwHIBYeP/Yq2C5UrYPOKFbYhMGDsgS5wQdAj4/Mj6HZv889FksDQE8/tCrGAWpSG/KK2M4oLyPBEcfPgdlKM8BUD+IxFt2Uq+AaOGGWBEOwaUsqvCFgUjk6sy8IiaKAg5klZSpJiAQNowtMHSoG3KmhaIQMZWkI9+VMggKRHE2CuJVLdFqkt/RbRsiky7s5vmFGhv6al85vZt4jOSWZbdRMMF0jc03BOz0FZdmjdkT7Q4x6yYfYifMF5ipLLaKXV59KFMnmE3Q1QVGKR/DLK3MIbUk5ALhvnWZByNuLcKqf2mJpBLKF3yVb6fMAIvudt4RQZJ8S2vHsALR0RLTcoGZ2UMZnkah8tMUG1CTnX7pfioSDw7emFA1fcIUG30R+6P1I2aNDvCLbGbih1n9jov+rJFWmwMJ/IeAy9fDRte7Rqj5EZxCvMeRPtje1wERZNw0F/0eke02W3NWzG1BsICPwW+hxUgByCAXKq+cG04A5wkK0JlQZYWwAs4pUmzx3aKtZH9gg29nPV8o7xzVPGJNkKoXDnaDUH61kYjt6nFHHTcwayhm1WlHk1ThIauslYymmqo6rQoc5iGePGF7xm3li9VsX0msAyH4mpf55ExCB3x9OYya6xHe0OFmzCfRoGOxkiydVsOuTjUKktXmiVkbBTYGrccdo7PwnjQ+Axz4cwHvuQIIP3XknoVLYT3a4C/sAS5jo6+9GKxiZDyXVPgnMy7jKb9NWKsuUfTGhIbd0jlYrQ2eXonscDIukmYmzyp36+DFnsU5zQJf+WnLIa854qzjtIysLuMKqgEvUSopfoGnTiE8pKO6pb6dcxDunP0lwsNgmNQw45Z6DsZuTa0XmNBpuJ8sjWHaJcuHh1Q8VUbDph2PbuZZ4vlvWfBOgkVn5eem5eya2O3U9OOnXosf/sTCUebudc/KmDPXgvwXbEB7k/QyFTucCjQizFtVitPOoHYm6BRSF3vV9his3jFcJPl0cndlRe3hJCa9iTi/juOOYv7ph7sqiAdUWxM8o2w9Sfx0vFfMCtYF9YrnGfMRt6kY5iH/3bb37qeZebYrJvAsLXhaXpa3V3VU3z1tzYs8bDvk1hTQK68aEquLrrhIOEO2J6YLrlcGwXhMzqULsmny6C3SnJyv52R4MG5f8WBN1Xge4D9SZl4SDS0Yl3t5oGdhnAcFmvfGJL9fJx3DRB53yR6tBerG3ewZpL1HXuVy2lFYpKm6X7tw+bm9WDwwDBHAJmAJQhU5SOjcequghzYvijjm23eFsNMgPo5d+cMDkEpUk7vxrP2nNsXGNjQZD1etfXioiCdGPSGIKusedOM+aamg2xox4u2fO/aCWgc3KbCTXoUz/9eLwBN5RvuT6w5SGdVt2bRpRT80Qk4Cor0pAAeH+Gr3ZOhisZVga64514TluCpt3Z0bxExTXnaMYFfpVeT7L6LMvdxEL+R4ogiDXsYTU2vqvpysD49WOn1guyrTd05wyIXht1Fule5qTn1nlayzkRzQxfalU3S+ncLpc+4eV9eLQ+RKcbFPGTU0GoekRK65TwymCblPK8q57cvGbXq+O1hMznX6Wr5/WKKltqvJv6VernZtVRTX1ku2j4cth/rliKBx2a12LSWeCNX+5XHadzc9l1eSbHNDevdD0q4H9JEHk8gEc5Mn4rd5bHpCrJPNgJd0kF34C/WBpvYOGv+ygdrE2EyXnoSxJtPte7vHG6aKqQ8mNsuyKhdVTauZqjNvQjjx6GzXuDY2nyZG/ecUPxNMjk6nRXmQRsA5/j7lAypzWbaceR8cnM9q7rql0tGvyOMYf7W6fmX+9ubKfsDd+Hz9DFTAvJ+3VPleoMhtYriMF4aXbvTilE5Wx9W/Pur2HhNfovLNdlXWTEjlW7AW+8KVynON707G3ZOU1KPwzDOkdK3vP4BG0DRoxtzbmmXfIe/VZ68zb779PukxqdNhGXenvpCnpUNgsqwE04OL2E64j66452xqdQf2l+3uQc5nid/Zp/N9hofoNsfvS88O6ko9rI697Si0qedIXjTM5wco6e0vxOoH2CO0ThZnbdEcyyWtMZyMkb/Vkyqvp4HxalqydmLnYBUWWk0FLs9sYUaJxJAPcQ6dUTfzPKI2mSqhjtHGMp9OYeT9I3i7Oyhju4eCs7FNPFWeyg0KXwEOMPOyseqg51c8FhrTl+1s0M61tuBC9wzvRPr41iYucdaEnsZKvUmFWZiNsz9NunxK+VopdM0ms7Ii7ypYJBFB4FJ5HKLo7xugJcHM4NA/vjgTFhGkaZ7r8vBR/rFoFq+8e3KF197wUFy+Xatj9qeO+PWCtNFe5WRi9UB1RvqhTxDi/4jLQGBtIT9yJ1HcYgtOSOf9zViHYgO2jXGKClLWw50gbxrfKLddC0iAC10tptkYK8rnADGWzAB9wdx6dUmrQwObJGneFOB4Vn8w718ODbyYn3FUwm4U+SrgXMM94zuuJPZSX9vaLkSVsDTazatXbbVJTKYwRf+GbjJzpKcq0h5nBhbmiIEfHylgpiGShZFGJ6s/WwlPSWVTnYe22uAO5DrnqS/N/+ErV5Df9Z4virmWRJ/9ZUP7U3g2PCL2/JnL8j+3phxfHZmn93ezOx/01+BOrrDjH1pCZoGvvkl0UmYSQ9SODIiixAfOEY+FJ/gWLDiDZFulKOkv/t4Q9wG+w178ppKjUF7CSWAlAW5/8k41ZH3hVkEKSgWOEffhoRXTgd/hnVX1vlO5AzHBucvfTv0UEQlKctil7a7LW/XIlTrB2UHjI1AUaX6ShU2sMRmicgBueCuTKf1vaX/6YMV5HDgR3iLIYUztYIE/4t2Zi8Ip7uDcLoTCI47jArV7Z+WG6RuEeQSKcjN4BwYTTCUxQudTahhFC150EGycQtyJ5IJQdL9xErzSeW7s/XTP6N6RDDNVnERemVrkbWT9d17jGAkvp8OhcXCwdbk3MoTXbAEeagJYBorknO6wCMDyrvP/C666dAnjfPYjfvi1g0ISAcCNrY8rXrhMD637u7H95cT6dHN3exCenB5dynf4/7515n0O3HUGtDCni8T2zG66Bf00ziK13GRnWTbDNRWKyrWc1ZBgVRhdOEfJwTy4TslEXvhGya6mnLjdDe5cTpIbpxqyo3TgXv1dL9y43QXuXH6DHLjdE9yQ003HfrsV270wPES5EapuNbm7qfR3uXJ6R7kycI4pMpb1SycdYCdsUUvYUmcINn83PnpN+/rlosoh7mO5NSaoHHfrXQbzfSi/Uaa/fqKW1zhrCiO7vl655cr0leUNIQK40crgQML4Bb2YRXxLocoGGz3FqAsZp9ZK3S5nhi4XHsd1kd3eau73Cz+0hN9UfSdlDtN9nDOs/YD3cvadSTpoXRp6/j5TZz84Yj5lPIC5Ee4QwolltvmePiV17E6c+RYNy/dVvQb8KZHXYmjFgG46yXI9/Q755FHO+3p5AB+W3e8qTfoRqYoMRZ4MiRurPJiCy6fHW8dRAGuB7BeHy0GCutxtcOBy4gy8VPzGJSZoXdZyFsa7npjbfTqzydnk0v50an0qOn85emHAeWzGl/DJqCT8gewELUprQ60pXqD3NgxJ28D6n9FWJqbj+49umtdYvDMRQe80AARJvLiNVpoLDoZ+n2Bbgr6c3KQeFGpeGCCvgWMFKNFzZvqltd3amFVd1N/4pmHU8PdKiY0lRmCZV+6gNxOLftv+zdJg+TElEwvd+AZOgNXPynFrv7ckNofsPl5KHIMt18RE2kH6FE1WKMueXv/yQT0K3YB5i2xoGlTStiYa1ktJYWXDDE9YFAV3hMwdKpdgNnwTj4VGJ0+nYf/eTWeWpd9F+7RyUFE+L87YXgeqTQLvZLi9qYbwYI0vk79R0zL9J+AQhnvfA32xArJ1cblVdyuFehd+PyCQ8X3YBDVpSRCqEVEsqY84TtseF7qVGyj1uPK54mrAqswWSGEd8roTuNEwcMmivM+vuogrqkvUyYqi8RpnjgC+CCedz9xTr/PE+f0BZ84p6/2xDl9SSfO6Us6cU4PeeKcvsYT5/SFnTin38eJ8+Yczh1JljdRPosWLyKxspECfqcN1sF63ZHiPpJyzafrPps0i2q6msV5zWKangNx743y+j9p3ISOu9Jx+lX7bV79X66qVQaua4axEPgOikGnxBzYkDWIybEnFrY4oRqjk8Okc/F2FIvKUF7N4rhpDLojm4gokdO+/n7aDep6fI3AmWdVMcAFnZUITXb09EISZWbVDpq1Dg6/XJVWMkzvPpCu9+V+4ld5OFg6i5cHw0OBwAwDJ6IVddO7Xv2BVfuIt0vYob/xG0dUp0IhR6h4YY50twiZtIwfICrslo3+o6jFS7gk15ulNogq1mHwU98x9ULaurTcqyiW7pTvajexKTvMl+9Ns9BtdKSjX61eZp+GN9sPPOxQHO2lQzGIn2Edhl/ron4njX6puqNQNvrvOVFHn8qDTe4bsaQ3kKpiw8rLPZosRnJeyoQRg5ijpGbjPZFVco3i6yiGM14CJHY/5v/4pULdx8jzRJSJ0QD6be1xLZWdJOp4xWntkZSHUj76S+1RkvmFF588BmVbM9MeEjXVijSKYEtPcuvYyYy+GP8p539iJVcCNGLyQ2lKYuoGrFXipHjgC2em4ZnTHplqdKgCg45fF//seRQVt4ocqXElTlsyWvu2UW5kBlV5/xm6iOZ+dZMPC9q3g4nXl4r3ewq3ek6qnUgqV0q/ntLG2DUFYJLMGEmEFjiwgaOv9hqFpokhryQV9VVywx6pUt5AVkddAHiSMIfEPYJiISjWu3/+eDr69Dfkc6L+vf9AL0BjNw2DVIX3f8jLAT98qHkI6KTkxKF7z3XSdEvEMd1lRN5loMilmA11NZ5mI2s8z0jImht9je7T2EkqCQN+mxr5/jXCSzo45VUepVdqhwjIyOed0nEtYcf5UkkRMhSlNb3i0vqBrPQPfdpk/RId3T5I7PIbqQ9S8wsdPa9uSFO7l9f0ijbbM+56RYcNbXslEUO37xWD9Pu7yL5D7+KdU3jjlGGM8/xdWI59P3bG6dj3w2idNNRNHbiNupd1Qc07mrFH6wA7eLN7Rft9K8z3zosS187TDqNpoKm8wHFPlLons5aBSpy11VLnzNXXTFqWhHI365okNDB8xetJW28DuNrBaZ75S0SX9Wkf1lmAr87gTMYAPZI+5dZBvWKBzYZejuhFGQEc17kv0XcPqdXJapvhvahtTeX0mhKs3GSX1rrVkg1c8VWc5TQc/5y3OP4GXyXxZ+FugCBpazamt/w79KUYzO4gDNO8v66sBeDQiWwwaqKMegSGrb8beMOQXoIq/uhsh0Jv0MlRPQEs19BvH/Y6im+RTe8mo1kcfdndue0/JSQfxo51gmzqhlOEMYeN3fX2vwQWdZfb/3D8sNv/jr79l32Jn3Slye4XCmCz/WEnNjZYHyj0VJKF3VJU1nVrShb17S7dzIGejB1I9gyN6Hbt0aRbmbeHSxE2oc0SAXa4fkFdFMdSAbpIddAzSuVAjLPy+phfQV0cGHCTfWnOconBtpy6efn06HUneQcPZ19YEAytXBYMKco7OVghKQ/UCd/hAQih1SIWpTIXNMnYnfsrZxPEKfvS9GLyL2zaSZyCYIJzxMto6/gfZrH3A/oL/vrPd/9iTZzIgqE+7bWUhD6FK8hZNT7FIWurTzNNvfmtPdsGyLOvzdT1SQVde78MTBPYyuBVc4O08IcwmgdyphcPl1XtJyxZmb2BLOOSRAzRC1VFawBglhDEAwPIUim1FKnHf1HgZUjkSkue+EmLES0vdgvkof4UEQOp8qylqY5ILRrPaSPTv1gz7HXB+RhJf3kx/vjpk7X5efRp9MmaFzl8M0UffehvSApV3mAKy3oHm+a9dYXpNgcwIeFYc9tqYektOSZFyF5Rz4vS8TwpipPlHrFyqTKI0JuaCBVQFZzbYPXl2pGMz/ByTzRIAToDo9ltgJceuEWWx2vQkKjYZbzAbh4TwC79vMADCLeVB2t/RNyucwYZ7PVt2ayF+JKRKbE5LgvFOak8YxI6Lk1DF8R36XalQW8Q3wvkQVqPQHZpnW2FOfUZuMG2h8yYpf8M2+N32ylDrglsCSXpaftU+fQN7zur3+5X3Ze0xH1harDIu2qAzULGGd541nW5a01f2oeqVMXBiMJCe2YKe5PnXJZi+KCqR4naN1JANL8fxkvqoFXkSGioILS2gUxBA97i1jvAqXZFv4UXVwoyHecnSbZ2ddLYKrlkgJlwZkmRYRD96A+m2oDbQeRdUb3lSFVFdJNyo9cRnyQFj7f0hp20zr9p2XtpHYRhcAIf4OvpCt+6CtZBwxwf9EEyk/Xu2nl63/XxEuNrH06obSvSGpcGdgAzXsdFRFLX6Geqz3LdVP66kgy7gSDSgwJRp8B5AsyEGT7sXDo4LcoPWuyL1m2NLH4bSAcjEAi8BlitaonbOAU1NZOO43PXc5CqFv3ZuW1XwAoSq0wVauTAkmQq7gVgDZaI0UNbrDFYsfmyaDJm1jtMPPGYcRlg4xPUMrGpER6i2fs2E74Snnc0oHwmKesSAre8mUrGVUw0VZlTA28YI9otEbftvcHbM3UBxTBUrnIjb6wJcqs2SSP12iqYdNGyWRx8EJd9U8d8sssduf8fUEsHCGrTMV9uSAAAWJoCAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAXAAAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9JbmZvcm1hdGlvbmFsL09USEVSL3VzZXJfZ3VpZGUudHh0C8nILFYAokSF4sTcgpxUhdLi1CKF9NLMlFSFtMycVD0AUEsHCOH8Jy0hAAAAIQAAAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAcwAAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9JbmZvcm1hdGlvbmFsL09USEVSL1ZTUF9wTkYtM2Q2YjA2ZjQtMTg3Yl9JbmZvcm1hdGlvbi50eHR1ks1u2zAMx8/rU/AFHNiWYru+DP1AusMWDA3QOyVRjjBXcmU5Rfb0k+UOdVOUJ4H8UST/ZLGBaE+H33BPAU0/tnA1ezD59/hMLQz7HTBVibzSPCuaWiRCJOKeRunNEIyzcCKrnIfR6fCKnmDwTk0yJFoudciPkWwh3+TJrd7cc2ILDbK6aBqRlWWlMs4Fy1DlC0mJvMNAnfPnFjyNbvKS9vT637npyJI3MvE68T+NJDvSxXCzmQ/xX05R/7m9BH4kbzpP9Ew2vInDhOKNKDVTxHlTIgqiqhSlkMS2smhW/5jlnzGA07AjDFMU6cG7aVg3NluRSjKt86LWQnC55dcFv2aY1/m2qLFiVY5Li11Cf5juCDenOCMK05twXv47puAhOI9dFAEDwi3KP9k0fKlIgh5p6I3EtNVHepmMJ/W9BY39SJfCfEsZB/OXILi4liWTwFh4uG3BTn2/1uC9iF8V0T5WISvPlwmnxK/7OaS1X3CfsXiYwdj0XrFss97B0+5ufJ9/OfldvGBCeZyDUZx/UEsHCD8mqYuQAQAAIAMAAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAWgAAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9EZXBsb3ltZW50L0VUU0lfUEFDS0FHRS9wTkYuY3Nhcu29TY8kS5IY1o9DElDpyAUBrkQhtppkd+9kZldVf7yZnlN1VtV7qamqzqmsbnF29iEQGRmZGduREfEiIqsqZzmLpQRC0EF3CZB00oWkwIMAkoIE8ChAOqxAHcgLSUD7C/QDBIFm5h/hHuHxkR/V3W+2+qH7VUWEm5ubm5ubm9vH8Oc/+su/8wj//O4fnr3//fN/cv0nP3r0CP/+dXgWh1N74fihPfFSN/HjLEp6i+nCy5yJkzlv9iz4A99M7NBZeG+sxWoYTvOHcRLd+BMveWMduwsvf+4k7ty/8ewbL0n9KHxjHfYO8reJF3hO6tnQg2dnPsI9Ojj8affgRffw8Prw8M3RqzcHBz8+OIB/9/ZG0TJx4RMzpvL1iTf1Qz+D3tLnpk9XziIwfuxlqW+H0xs7jYKDg0ObUDyyX9mHdraKvbR9y5valmd+4KXP+3MnnHnn0ayX3WWFd6c3Xpilzy+Qxjb+vTk0gfhmCSRPny9TL7Fn+LMB1AUQeJl4CwI4vLBPfBdxdpKVCeKIiJQ+X6xsRq9eOi988ktA215Ek2XgwWehl7lROAVY4Ux+eP1u1D/uXnDWeU6/9pCT9vbCKIQJCSNgjMyfOm5mp0A8xl2AVQyMktoeDZ89xD8tiSNhxAt7IodZBaaJMBLaKh9wJU41RJFwomwOi6AKgnEuh9qKDf9p+g//0e8/eoR/D+HZ2rybRanrwFKQzfJlyV6l/iIOPBu/hYZHe2LV0Cen16OBdXn2wRq9O7egD1rCFkG3FJgWh2kd9V71Dvf2AGSUsNnsWu0Wyh6yDXuAzQi3Hj5j30D73vnR8WSSeGl6IoUTSB+QNBN7mkSLN6VGV1GU8c+UMZ3QL2MYAUyO5YfTKFk4+AqmjB5dHPcth/WEH0XW2LOcNPVnoTfBXx0LZjr0iHWsOPLDrMfEWxLFHrB4zjILx7U5JJtBQNbL2QHRfGONowhEYiifatiOYs/1pwDT8qeEHYdn5fAsnw0FHscwGf7YD/xsZUVT6D90ZsTulhNOrAgEs5dmCRvtdBmyIUSJFUZZzxpMLZ+AwfLEcV4nS6/DHyH8dtB0LOSgEu/7pZ94E5glALtXNcUvdjLFQ7YzpdrsOuNomVnnzspLrBdWAAInEMT0w5mVwmgWHo0sdhLY7zLgacuJ48B3nXHgsZnvDyum2o8fZto40+zhNIigNQhMpBM0v4Hdf7IdeQRIazAUkwfoS+BiNffztTrEtcqJUI+uMpuEWgFRoIXPxbxBvIBYBCzF7GGLnnWtzCc+sdJ5tAwmJFoCJllu/WyuzTv7bhmjLIX34xW9DZCBUffKIjcKUoUVkQ/wC2BfnLkP4fT0LuvHhpFOnSD15HOQZji5vrb/ouS+AdQmNvy7BD63fgVUuXnZwX9fW9/xD8PlYgzoRFM7J1mRWgDYm3mJmVwXsIcslgsOCIcA01klfTcfyizxgCkSOwMN7I11UCV/drzBlMWPMr87EDqb86i6BRKfRbrMabXrEVfD0wzZjXO1EwSbMvWQ87QY6EogVey4fu2uwdDK/txR1rzk7uBIioH8QJSTuFFJMVNf7k471j+qF0bwYv1xvNh6HDUL2TyMylFUrNZ+LFhmVwsWFyLgGLk+SAs2MCFpGY/CIyejJWkt2bBmHur4jNFJ3c9bILTiGFVCVa1qgcDE1oV9wxKvWA3aUN+FcqmzZSA3DbHmivsLf89l0FrLiygDB6OOBUcMWGFwVjrqKLtIx4pTbzmJureAtlx0dZwa+GnWwIwGRqzjwsLYQJIleA4Gseyog6teKOoyqdJqI5fwGQBqm3PplRdDR3h0tWZeNEuceA6bRGAacMA7tG5hAmC81vDyDJWjiRcH0cqbVJ1X3GhJ43ejScV+Yj22stuoG3gZ7FTWYPTOenH4+rVoaGFD8/z0TV8YOdb1b/z82OQFnkmT1hhh/UnrYx985k5ZD2a0+csU8IYzLe3ZtCNhe7mnMSrjcyOd9ZHWS7QyXjthGCe0OCFxPTscf8kmDpwEuHo9AX6yBqfXZ9bVWd96+fXXr61fHR5+V8kxTo3yAcwCQBCGmbiuc43aAPQOUEufmpnDYfJl0w4/YONCj6ZZYodU14kddropWibkG5/P3Ac/yZZOcO6HH1Fxq541reWlWA0amsdwQJlwvYz2Gz90g6XYaQs9WTmS8N0ERALbubBZBi9DlHi09XB1i7BIvICmPp37cWkA6XVkqR8QJnt76qMiPZrgVdNDb3nixV44Sd+FTewsNkl2EFVwHXvZrecxOfgBliMc94bsfyMnZtx/CYdZIMbliHboy1RBNad8ShiwLS1zEtjm+ZhhY2vHA7Cj7SG4Iq3wmVBgqunCvlrDvpF4MyeZCAkVLxOQV16tCl1ezoXNv/32O5jAxLDj+S1sS/NcCTL1znQnQF2+uUH25TinTRpNvbwvaEWV+sruNJYkggVvPb500AQR5kbTwdnxweGhdXPQ+7r3AqRPfAUfrnFMU4hKVh9oLdU1OD5hX5k4gd1l4hUMdToF6T4Nols4VeJGHabiW74iuIngcrQ740ACnNqxAs+ZSrqog1lj2JK758uFE3bh5D6h5WRQdNpwefXoqvTq+9Eyi8g9TZ8BmDRzYI7JYIWrH74E/aFkszqRV1nbrY3mUxRvAjDDj3i7Udppa410NYZXUJLodMQU7sqRx6g/AbNeIwIWImA9/cnBUe/wF8i3dMB61mhUziUsiP7WIrYsDvMbRNuHTh4T1sCOyG902+JPjHwNX37zfnDSYBLldlS7/TIxwpHXsBu0FXdBGzRVaRPeOIkPs2mmUle+725DL7qD3gBR9bBkC5XX9uVZLIfWdHarFSf82UK9xgQpyVQCOwCdQF2OudJm1AsN2oTSWNV3zGpUWQFTmkeuu0xA/rtMcB90rEMS2Y8tOHnQhR6cKtXh5GY9uvNjZwRx3OEHB1fRWZ/SYsN5ZQu7vCafgTRM2P0B01gi1MY4sSwkFldhQ48JUC488ccht2unxvXOXzYteib4ypoVDSK/2UQWFiB7NdMM2y/ssjDPX85878VR4Lulgws9FV2OPOAEwOmbJFrGV8u6Y4tsZ9ZI0RJcgsa4AS9lLIYMt/7Koya7a8rcOfIAAAMi+g7phcykOGP3X+HkOTzy2G9Cvcmi58RdN37q4x5S3F7x3kzlV9LKvhmhYtYFxcxCzexX1QfbDXWXb1FlsaTKorwTOkrKqWTNkExWAnRqMt9O4JG7LiY4I7IhEoDp5RUo0CzhtYM36RWaAt5P+FQ8wT34icd/9lWrgTNzUOwzTUgaMGGn71mDntfrKDAWoD5w26rjfvRgpmAxebQPoGG1g5gCRrKf8vcpGTKW3JgBfexOjeVYdgS7fadQd+osg+yN+IS/IK1m7RuYgXJSV2zMrpMkSM3ohmtKp/xAwk5muxxn+S5PHSK8bVCSdzG6wZCPyxp6ycLPkGO4WZqbPGDxr3IAhe1ncHx5nL+E8y/o7ckKpq43AyZGTnp/Av8M+hfwr5e5OyTfPIqjGM47vruI4d8Z/jubxeKsmMKrzIVf3XGGrETfwD/jcWgnrguKddixwpvY9n04Ui7hjZPMlsh1Cxdf3dEZ1J07ETxbTuD9YnnXsSZuaMNqgGdz7DBOFvhpCmoX/MZU9kPxwxE7jOED+j/8nuBnsEvgv2lkZzFgCh2NAzzvTj07TLEjWImgyIUxdodDeBG78P0kTqAvbDohKPC77S7w9yz+8Y/hQSBOyOkkYXR4bYN4yTz+8zRxZtgOXybpDdIrgXeTFOCOQweGjr07c/jGDgP8Ob31Y/gidLDJIoLNEn7L2KuPvuiDzwD+GEZ2eJfxX2B6gE7uFFFMncz27mLnY8f6mKxAZw0cIHJyM8FvcXj4Ac0J7CYOPnRvoG0c3uG/8zGIpBRexoj1OLHl1+kytEMAcjtmv8P/eTdIX0TxhkhEAtez2S836B4AA6FpiDOYwjCdwjTYxCET/Cdzp0APf4YDj9J4Sm/SGDdIO0F8A0YTBOHc9Y5eISTsbuHjjKXAYUglEk34GHQ9BwlODfwp8U4YIuv5C2Q9P8VGMfz7PQ7ZeR7SdSjavOEFsgL+6Hxvx56X4Ks7YBA2vgQRiWcAJjhi3AEAQPZjQ/oH3y8z6CslYPBhzBgQO536yAMusaSbEKOnqRvFC5fYBhkzRbRi4oTUxe+mLmMg2zvygGZhhCCIPWBLo9UC2heyHZpwBJ6wK+OKmuPPoDItgE9vieGSaO6aJCCsXiEAoySzE3TctBd+aQuudW7I5eCCuzmQ3Yb7OnApRqC5wTZl6lB+MW7SFtB9x2FyElvw8x9swRn2DhTpoltthx2o2WcLZ4XqOwrexJ9MvBA/BjFBX1pjJ2X+Muz+kt1e0GWBdgpg5johH7cQpsIZA46O0NQJ0CFDfR/gxU/+8vWrVy9elWfowDA/zt2m8+PcPczPbucnf8zM54rlvHxegyWoO77+i382/Jd/d/+rR/i3yfHV6FG6Y8fXm1aOrw9OrMZ19lvq2lg1xQ9OrL9tM80ePjixPjixGsn14MT64MT64MT64MS6iRMrN9tfetltlHwcoCV06rjeVemeYbtVrJ8UQjyg8NuWkPVMEo66rlinLe7fzJR12EV+bhVHSNLKryDWaAff0p+ghIjBPL8GOlwAYGwjzEOkhh22UAXys6e4GZ8ug6kfBNLHUAoAdu7knVhPr6/enz4j+qVL1wXOhIYWzpYj9CM8ZiY0wqdnx+ej02eVLm58ahkL2JIFbNM1lxjWwonNQ0JJWuImjfN61jE2R2KzGePXfCh/YaQwQ6jMwduP3qrLjsax4yf8q4km8edOMrkFLcGKAyfDdZtfRRqwqDg0NxBmLV+j0HdtP6olnfmGeYZX0+gKWC2mEm/qsStb66kbLeHgmj4TrhS0PaGdPGCQ2CXm4Pk7fdE/RY4RhJl4N77LYABh0fwwd248kG5eaLmkZkx6Fl4lcm5MQexlMNjxEjkW+BFkHnCeA/yYRgyI+H+pY+0iF+UniBV3GZB+62TcYVnBnJ1quOeicpckt+F6HjM2qbsjqhDMfcU17VrqJptI4ZxvnfyCXfN80zaeaS6ccQYqxPEuXPW02xmtU2sGo8SDiMsVqadrucY966EsyKKYR03ITkTsgdKTfJdmjvuRa19OcOusUnJd5eYzpqgF0S2A04GmwnzG74wmKFFp90bf98TL5UJxE2SMTdB2Kgnwz717HaJ/n839+9a6nNPnX3UTLOqqN+Yj8YYnL9jZ0OqZeGib99I5+sealx4qP+Sjmzuk9HMHih2sw0R0oK3I3JEaRaWDpxkmqRLrw8n7inUoQdk5KFtxHF9XbVKmx2mFJ7l1nrxv4N9dKytCV6rDTlNbqvSVBrwXfmg3kbidF1vdIhDXM8KcqyiDNQNsUhBj2rXh8ScYgexrx2Pgru8wW7RDgQZi54f81pqhgqwUxrk+0UHtzAsn5NURtmItMkjtRGLXH8suvIVcK5uIHL7s2ByJoct9XtuPyKOLKUniaLag3jWNgG5igWhouKRkIhViSTiiAQg79X9dFkGgbjlJdxn6WQ/fm+fteIFhW4iAjlID6dXO8U4rXY4lUJu5gq3rysRJ4UYJuyZTQQrvMryw85JFWsYXiRrPVykpmYKq3IWcnx6aFsLNZEnj2fhkVHNeAfEtsFrjtJS2Pi5t0HXjtr/OwQhO3bYX4oF0PXP5IJMeZlxOM0xBQxSha+xI4Uaz0E+dMMulHpwi8HdYGbjlPCfGyds1j0/eY7ax3vTj5eYyYrSVjOgP32MkwSYywo2XLFlXBsreMllLTYFuLbUtvyI4vXPwVjUlvfvuJ6C6Hl9dNNAa2EP6zbqCkDkWtZb3S2lxV+jRGEDU2sLOl36OnO0CB32sE6ZT2rpCd2VGWFwVKOhaBNMCdcgUGavJIAWRHchV6rtOoJIjHV9OkiE1zKF1qglX+fR5Nkc7W6MkQbmK47kvuYoI7UaocnmKFhEBWPZURuLepKnKBLEfhvCmjZkpl1RD1qiaouoM8x6QPFN/thTXp/zcwb/0U3LA1oXO2gaXEoafWqRmrca+jTamzNkG6/VJwa+WLVKcCwVbZifh79CIljkf1WQP+ymQznf30U68P1nB8RR+6cEJDz5mkXTyKbvzyvfaqsUvrHf5Q4qBd8nriV+OfRhc9KynKFBgdi6uracjEINB5oRetEytC/jR716TxIAxPNOm6JmOncC/gJyvnuq5odEFbER8iTK52jSQy9aT3Vk5GHpwpGFElOaaqr43CD4kiyl8RryMKQqZvYLTAobbbpaEhN6NcKpa1OHU7Yv1AwrgsLA2NrvVYt4J3FQlYRfcCByMdu1T88eGNflYOVqiC5lrq7BsU4Na+QoQFHOVccgKoKoENJqBuCBxcTi0WSlwuJl8EU1YHMZS5qi4wEcrQAtD13J7i9LWPN+PxZxwdzfc1bw7kKF8YcESSKLJ0vXWpSOzxvsZvz8XveDMS1AbU7aG/Zrabs6IbaDnQVCh5S3ibEXunOzplO7qeKwcdsZJzp5LbcPEFAV2ZwZLNNqHxCa9SoJMloDb1K+L9droPiMP6EV2pcFoSE2WvT7fLJcpi+Fwcv1JuZ6bBs4N7KWV7oh+aCsOO9Sr623rryPhiAMkrTXpeEuuuuoQhDtwLONWYGV4dyiUy7bjy7PK8elid71DStk9d+HcbU8b7gn920ObqpUQbL0QjHK7aSGcm/i/jg4ml9w7e+yjL2P9Tb3xutkPP75lbVUfEzMzjHTrC2cN3rWuR7Mxwui0yP6CCsbc4ZHoLcz+n2OEXDB8ghF+H7UazC+iVoj/IhoVbjen2+JqMjxgWLO8c14zQ5uOcB7Tly8QNf572yNzzQET+UNLeVF/Hi1+vot9MwpLiQW11IMTI32YAFGp1F6UVEiSTXMNVt3uRHl+wfx6fqeeBXqyMn66VC+syZFUul9uvpXs5pY+OKpfL2b3S0NGltrVdH7UvKCskfBr5Xm0pJuEwgXnmg+rvKJTMos5WmfItbm/7JgFZiOhbv20UaoELzagzYu1afPCQBsWe6WRZ3f0ebE1fSokks4YuxBEFYyzjaSpUlq2cIRQnb7IebTs4uVrY2niPOHwuK7Puc5ZAiV5liuhcS3yrNZH+O0wMB0mASTUDQU439zR/2aKOMIXNgAKUxZgsWH0ivQCicQNN+gax5dWDtldGSkioncaB1y4fmMPF9l6t0Nm9ZWQXPgpeUngnY319OL6/TM+UcZ53Hx+WsZs6GJtJyvbJPZ+qCv7Reup8ONNnGlyRhkMdQeaQu/5guZaTt5fHvEhBT5yBejDtJcIT1Stta5zKQn9KrSZgv8kmz90mt2dmmOIj3L9SVN2sZpl1x+cXFlP+wHMLAYOWxTi0D2JsEaTdRUtMzL4m4htbSE+C3Fw8p7AjqO1vGX1sSj3DQSHTSucsBIWZOjBXy1iJJcmOxrXtmegQXwsxzCEIfBGM1hxt87K9uPNJ5rDUAhwv8OfzN14M7eSkjfjybf9ofX0hF/ZfBulmdXXzO9COj9DwxbvkyIt/JT9fK8jpYQmIvjJlJSxrWyDRS2mBsH0rAuGVknjLci4D1zEKQpvau0jWvsNKu7ueL39DVzgOHgBB+xx87qL93HedBnoDwIWIVexGxcXyRYX0ZL4Dk8kUQgOrdhSSaTUhKM2ucspa5DdhdIm73CXbz/By8PQY7s+SjKyF0mppV7NsB0JdgBrTG4qQMoAwdNo6gUvSMP7GgLsJvc7girOUI275xiosqscDuhDJGJfUJh4jjuH0caU9ZA5qIiMiSmLPGSqHGtBXg3MBUGQS7P84T5FpCprdcJtUqx2bvgnI780/Vew6b1lyaNR1XMXEcyYxxPdex6j+84bTsDBxIyHklK8THJ9SkxTQPJeN/fTxz0Ft1w0Chnry0uU3DsYv0ffjXvY8EeICmUvrTJzTpZbMnK+n1bd+BHrqfyqMJp2wwRUZRxaddTY8nbr0nyrZbrROnmfY5Nv72yCN9a217mfCqfn7uKduLdPNYVk88lSeF6NOmM5VqkDdC6Zeu7KDbQkGtKDoEoYKAKnlUMaeibIFnKc2jDNk6irZkrOAeGWpsCFXkq+D5UBvbhUWqJOy2qnSBPEtdG1s8gO8uXbDu/riFb8vaDPYbcehUs1cW2+GbUcBSuke8ba7HQYDB3oQgJnTVqPZ+45befiW/h0p8gjwHU4CLd9P2y/Xq/F9zvFWkJdB3X2XVvEGb67RZvDXAdpzuveXWarNp61mB7T4Sht74H5oQfsTeuk9SKo3swahf3me1pSsadRrbbpVOhzfnijuLLWbRTV7lO1kn/3u3LjCCp2DcOJkqmY9nhlL6LEI4O0DScoO8282JbJbNa7EPBnoRPkZpTYYRmBRPbDAIMHqWZeKA5rXPEbMWxG0Heac2L1oCjPl55wB3W0y7OdBfK02Ro/A4fWb6uGC/2EfFfgkMAjN0k5SHc0wZyJyp7V+RTup+LAsV85aWseumu3ys8wJ+Zt1lQcDescrWFrlrTap6b7ClmZeWvL82Gjq3bDBv8ZaK0qBxVkRl+xWeK4aOWzhUqDpn60K0bL0h2nGq2Fn5gnQ/iIciDK7aDoy1L6kv7m8lxZf0RED77Ec6PFAuOeJ/eBP7/tVHopjIWZNJj/OKZnYY6aApNglauHhaGxwSpenHRHtYQuEsuFucGLHRcre9BpEdNkk11FXsAGkTPJP0ATsZ9qmXJBVGB/orINtlW5RqgrbP3BL1PHxbBwFvxAlhsvyKsXRECRhRPoo+e9yiy9YZRJA2N+et9AzalVNT/DAqpUUxsWUppF8b2vIOxkZ0tnBxhvv2ZoRA/Lpd1ykbbJXdseSQc5zi25erUhensuLcxmXdkzm1VqrYvXBju+NvPMuPwprIdcwWY0WIu8G/l3GEfS/nagcqE3zwTGdkUpLI0bb1CYm90FVtAZaeIFmVOvzm2jlsFApGNMUuknZPZt34XDkEi7Il3I1XQawiG+7FdawTNYDrJ6xgD0GAPBsApv6qFsq9CINQeDbJ5Ey9k8Xmo5/AzA5C0SusdQ0KkcALw57Z5TJipEUX9+TbmpnNkMa6lmrLSuy5NTQ6vjy6ZEihsxF5Zn+aykoqKdeR7TVBzqiHzkEqAn8y36KPGqb0RnZBBGSHIMOLXQLXCcwD4491Ij+bYoSlCxSH4R7WRBYExFffjOWq72GGYeGgK+C5qJ9ZjdUbWZZakhMNBb8yZ3UrTEOZPV20LB56xsquFolOU7GMEfYaDYTiV3cRBBlKY2qb9F/CkH+zrIMogWQrQI4uZcjdnN0OZKhRh7WIqxd1Dtl8LMsjsNYc0d1/V44+rYUr7QlbwJzhL9gIVpCONY8AFehKBrX5XXqJ/a+B3b4TfMDsRCDElgMQg8O+5z7pcl8t8y5z3orSvQFAUAHEqChsUEeMyKGDVXcsWtPS9WTRSC9li9hZND+mbyFtLi1cAVfPxIpk83fD4pX8DwtbDxhsh7FpReGLvIhvBBLUJaFR+tRM0jsE2j5rFt1Rp/XH970zo3wBbR97sPvN8i7v7+wu4/cTB97Z3WNCKO8RHGscxouAunMOi5K/kaC8yGzAUT5OvCy5yyZsLt6o8NmStkc3VJNbhmmEd2KiHlgLQB7Msv9gv5OMSiYjYr4OtbLGin1bp9XL241lsW2CIfdPMCqFkCrSnxWEzLtjS+4HCqKCzef24CSza8D/JKIqy/+k4L3P7JZYx56W4wkguNoz7vOBYNE9KPdxPCpCRVUEOiC2HjLGiacTomwV+y+hwzdk9JDMmq5WmhmMViHaqdtEJN3TRCuuIIow31XR4tnSfoUhSxValQEn/Pi+ngn3uOX64rudIiVZWhokpdOZXC2Nb3djXVe2kbXKvXYdgFA/PscB2ZtxTDg4rlEYoRb8W841XnJ57Py8bwr82zJ6qVF7q88kILrEUWxXvNTVtRs6PDE/0LlT33I87znQkvXnV4HcBJphFWz7qyQ3Kr12pRWKRgqSa0Qr5AMXviDjgkUrHyGnnQnwpzR8kgK7h4dDtYOLMtOTifHXX9akd+K42mGc2bj/1RUY+p45auEJgFc/TunIpoHvR+0jsADUbVWxK5s7zZ54NdN6D0EiNHRQShjli9PN4gVPRDITp0ne5gRt2P6XKxTn993kaI/gLdMXtLQ6dsRcI2wqZy3Tgc2d5i7QtXBsprQEV8A3N+O/fdeRFd5dpyY2NfcWNzPvqwtBc+VbLugJZDdcUj9yPWqo5uHPxnKje0iZ9+3JAS2FQMkO50y4Oj8Cr5Bf5G97zBihQtbN+CTTYfu59GHet7N7rFau/Obce6mcDTm/mE/rnDeuSTj5IUeN+PONUZdDE3PKzhOovutUicBAKOhkhtVJkpoyfWWSxU+cEpr5XNkbs6vtgQLc3tvkU2/RZI0WebCBFukwpndrpKM28tYVKIvJegLAZKXm2UBU0TUYTVz5YpgZkPkxfCgyg0KiataxTpMC0VJrdGzwFgcgPsnzxjteozH406eQqBtUazk9IRbzHYcJRFydbbcQVARRCzwMaUvatXL4sZi1MeQqnpnB3L8+n05KSkEbliaUf0SNz/OlnmUDV03nOFpoqsjiFb/KumxWNmiRFfL2rK6XzASvblyoWDmcZ5i3vJNm4i/5YlHBSvr6xd52vUuds4A3ky2bSeg7xs4kGQAmuRRObq5OK4EdO1KjO8G/8RHPh3uQxLEJV1GNG7HS7EihVFrjG7WFXC4y0trK5ft1tdbWbgDNTCXdK/AE+hPimg9077e5FmLemtFiOHwXINYKOkfaSDgEBBQy3RjWkA0lzG9tXLs1HH6g/ORs+qsKmffMVfaWfR8sbknGUPFS1HjhYMT0kBxGyL+Q6nCsoVU/9JMpJ+UPGuTkQamiLPcX8WTchdjd8QiVtv9GNbdyKFSzN0kl/pDQs1wDZy3VzDNF1rmVYi2ZhJEeOQRBlI9IimKqZtgpq1u7NqgrQIP/0Mnt79Quhq4fZ6rbG1ijL8bGMsRyhuNtaLCKR0hDJS8vPOQ/iiUFNZhXCXxjSlsh4awhLfNQkzGem2ffa1bw3FuDl1F5Ie+Zqq34XUuoAM+y2Oo2VSdPRIs9Pr0cD6ZgS70ofu4OzYOjj6eneJz26oNMcyxePBAlRYrGXQ0Z7GnvNRPGWGZMPn2gu1BRmeyt8rj/Ovx6sM04eAmoLnfHjEYoZj/iZaZrOo+Ib7uRlb8XeGdnmStyjgQQBY7NGPSpp9uxAKPamNGkjBoPrkT+tk3DxIaSeo4xIHKItod/kXrdpKEQ/y4EEe/EDkAeBfIQ/EG5M8KLwztHuQB+UDzINY+GLEgmMghOZwBAhGKR5+sEQU2bJNQuKaQtZxDbzjS0CZbrrwZm8HfPGobwX1ZWKvaEwXYBSHJ2JHfO7sMNQ6IchDDTKAc9KlONkpaLsBhoBbX/cOkew6/nT7BJ1rR1yWSUyaZE2nYHjGl9lc56IdpskviRaldIRBKClvH0SPTDIIn00d1zvxgLOCbbzYFAlDdzt4dc8qL5ABgfeDnn5RyjlYOpKWZcgy8W00nUVhW8vH+8TvywbmaZK+QjlkOsYv/WAC2LwPfbJ0XwHSTCTmUXLW0/dXg2d4zk88ZWjs6CjHhqsZnb0as6yKJrawLBi9niqvB+RAFBfjCZvB3CVT9TWhQC00blA6OoEvJY2GyfYm9+spok3NbllMzt3VQFx3LGCrEp7og9PrM+vqrG+9+OlPXlu/+sl3VXsWDaxi17IecwlMsFc6ZARsniQGMuc1dpEPiDZIQGcJG0vSMlkTkPZYfG9GQ742YNIw67GTzTcgiVVNE4TYkiIqIt8vvaSifummmBDIDVCZJs5sYShnsB02AupaCFWvtmOdhbZdbOaMpF7OqQa09eI5oGWUlmKV5E9h4zLlWt2OwhKsBQgFMm63bggNnADa3465ACHuDD1U0na8ePHedHv0qq0iuywXKeqNkTlfub9gFv20lCnjcmSdnOlnfr1KxQmp1BgCdlJ58tHuScy5BFqdPmR6MuPFS57VFzBWElYXRooJPAZTNbaOYunEpbYRtkPVlAO6q+POOTR0eQLBjppE5Kerm1lMpIuoNtSEZB9KXvth18b80sa/J3xzqZYINWALVzzXPIer13n++Yl0MukNpDtVTVqJgp8kO29hjXAYmpuBsMMUN4JkJXev3MM0wejVX6MgENQ+eY9Xnr64+Mvh5EkqitfqSm7HfEQDkLl0BmdLFOlx4SOJa26sq1qXqSG/pMnmgC0sejMNolt2LlrAOZbVoxJ2HWz7/K67chYsTw3d+Ht3GZ6y8SHGiWOGijEm81kVJ1e+8QtuaX5IFp3qcWktMRyiPCC1EL3DzsvkLs/YnLzz0adCpkqi85c4X7JeyLCFF69zPy4hmF5HlvoBOyZJvhHnDKxhwXKJf5gsv3XSfjxRHfL3GomBBp01iGHe34752BFFnQCEmd6Tlc+YEnvPmpnI1UAsBGskVvPYeW72rfhAN7GoDdRgAbESS143FRu2GtnS+vSto8KDeSxEW3Oe2PJI3SJwaC+H76XoEasGaCsU2mBkauxyzkblosrcd2m3w7wSA1ICuyUS0nJHM9zavXIHzojCgsjuWdqczjn/X1CDJpIL3uWBQ3r9LXLb4mOu37IFlm5cqmBXg2I/XrbFrz98/zR9tjV+5Opb5dpW7a99TO8UhzbhToa3WanlklYyIV0d2mVJtGKp45Bp5V5+kbvo3AP7VjhRK221ERnGwazzfrudZaSScMONRRdpzLLP7BEVghZLbvCO9/bULaGoHDRtvtVo6y1BEfSgwTuDzqPcc8GmpobJaXvV2MtuvUK1EDrSTZb9ON9Ymdxmdw08sTEbEuhC7fQdNatO03b66YfPdRgYMg1ec0bcBRWk+lFLhWN2ebQGBRrvONcYvDb/SiHpfPgd+sywkrUXmoM2Hg+Ud4rz8Ma0FJCBlPmVQWGByRfSjBK4i2qiKp+bKcpyfip3GhTkQlHUMoLg+t2of6x4NBayXuZXxNZ5/0L9ru6y9OBrlNO3XkBmCIABM+sskJPoljSC4++Cp09xvcky8aQd0rvz3KXqu1fumZ1zDXVjCoeNm+gjJumJiYFcD16IWNu8KYHnSheHgqGnwFBaGiFFGYsLPqzik5o9pMEXVgOzdaYNM65kGFSAbZh2o3kcyrTYVI6udnLGHqihWtGxEhAQlbUgnCkmOi9CKNUoaeYNmTP8gSd2zBNyMtpzhGxSANCOG/TWlK9rZSu3IOsJDJ7di9hioFylqCxS7qP9WMttq0C2G30FPHPJpJYkYB7URALhJ/6wQna3QvS5ac86ejsTqHYsUw0H8xAlPEtcqfTQesxzykERF2lu+NYDM+2emYwztzZrGaE0d7MW21X3UajX1VbB49ULHjbyHXMWn472TMQbaI3bsYbaUi2O11LkYLGdh+nf8fRT0tnWc49f583azbpsk6pFNVvOOdWFeJj0HU86y7Tcetbpc6Vhu3kvtiqWJ12bA4CArPLZAyvsmhXE3KzJE7KdCdQaXJLD2aMcdgUTGj7jQ7o8qzadsc+qrGaeNfNCD4MEnDHeuqNzN4UTY6gAu09GHxoth7T8Mjc85q42cn4jyvPUsUw5J1WLJRUxI8tcihlqXDwRLzB/h4f3NTIQViSzQ28RGkh1sfUosf0JS6yWZp5Dfl834XQCTyVvFDzLvnk/OJHvNBJ9E0RjBwsXLUP/e6ztU/J2khjhn9o6L4CYSKhmwI6/MqJoxq2YBUjNvNYGL1EQqYyNLV6tgc1QlFdSzJlOXmukFTqw9DObInGMKMnXa6BlitMRFZ8QxSEDW4+acNCpnj+7+MkaKI6E+095BttRDA0gTWST33wS2mk+nSoGGvx6ZJVPN8dZeacyZjvMAaWF0au3oqhRdSZbZalC9xco2sppuPQZX+OOn26l/V9zB044aS6d2TqFNVVbnzPGomYqREtCrGfMTUo6SQfeV69fvtYHxT0+bePgqnyEa+CVLo+ZQ6lxpNIfUcuL4qNfquZjzojFysPBB2ZYmGL6xvEDLdF4RdGH5kIPtRpabemEYp70gnNSRbJ/w5RvnyTdqhinAmmbnOn1FSQWMpG47RQqEjRTuCoTeSsa5z1bec/3RGHjKHdE3wYiBO7Czi8xbbecEyVfuBU9nLsLqaWnLUq3V/AyLURDIffyVWvDwsxDeo1HJ4OA3cADx5hwpWm8pmDj2tDn6kEKS7pfDihdy/8/d3+WVyjIbYprfv3eKfBQu9mpBnDSoFc95rpIHteBi6F+6rhrev51lY/ivcZ45N2bptjkdti11BhjlVNzF0qjT5bBe0ZprDqymF1jym5FSvPIdZdJ4lEEApb+6liHFP782MrP7HrSL+UEKr01xFKX1ModkZ/KHFosKr58pH5W9g+BqVDjxblfMta5ZdHRZNMnR7NwihmiYuEpILxXBHlVf5eiUDC6xuReSQqOvJOmsz8rPlE+/as8KRKwiwuKUiWIjhoDLehKOS6RNsrXLEd/mEMS+dpq8sYJDgy9DJ3+7dxtqM5RtlqfRbuG41KvYr4uB32dX4SGN0YPK1ljgadEUxelWs1RUGNL7bfG//KSkUCGuJfy4ZnXsLxY+tIWc5dxfwk16zGdJoVL1eXZB2twdnxwSEnwv+69oEgjBSIy62cdjmkB5j55m9nfdK2lGAYgnH8dCuORwR0Oj26C46slE0sLRjVsdkrGWzLHCJXHQWk5d278KJElxvsVC3SHyVHMzvcbVUVe99zf1PMYJsmGXdZLTKKGKmahVuVjBMvEu7OeYgP28zOKWAQZ4aWpk6w6FJSVwE+4GzDGNqN95U09ts/BDLDtiZs/ublFMcQyb0xC0+IVNHzpPL6TA7mY7ukNJrIwxNA1Sd6co5XmIm4NFvlAVcH7MjyQ7CHcCZ5nqcGAv63jNLRRra/Db6FyO+oA1byqOxrZGinaWtsWGo6+boN1ofrUukH1NCxCuWm1Rqvm6Fo/CEyBXtD7awk+Wepqf9nGBKqoFpekxy/LIoVcPkkX71CEk+kcopqkb22KFjXmYGmofFOPra95/iklbTgEGa7J4gxJH0SeVjzUK9AnrsCC9EpNVPGWqV65P7uQgnNHc5LHKzLRPcp1CiqsjtalLQ9Fs+yGbqBu/VQT+iYa1hadUdLTM8sjxZi9vzpnlKLznYjL1Y4imOAJ8RIhmu4yzaIFZrt2tARnxVhAzMNEgh/zOfVIw8VfKcP3wlmJziyqQk0mPCfJlLw6CWgBoE7SdCkagTwZ8fpq/B5z7FE2ZPxCmA8GF/XmA1PonozqUpWkIpc2xF/KNoUj4aE4EqodjX06q63XkYiAqenp/eXbd+8vT05PeI/1B+lSeNg6+qoafSGo3UZdzWNTao/R6kgqVFpD/Mim18tU81gcuQsx75zzeIwFrGXteGYIjy0W8agPkpUsga1kXYu2wrIpGq5GjdfRdOcO3pUD5dLMd411Jn5IQr1SBnxRUr1OFlXEbq63KI0kLoV45+Geotdew5rTQrO+iEVXqtjRbtWxZpsuu1IJkTbrjmO60cr7wTKMEq/3RbBLocRIO2ZhpTo2Y5VCtZM2jEI4/raxiYLxD8C8X3dJWirlgYhzA7xqfTetjGZjuHkVGOvxYqLaRFZRjZcJ2r+FMcloETak6tDrE6/hkpE7jDDrjyw8Y+qdlXdGYqmBBQJn0+Wm5qqyhhGFOMecXWl3RZWTKEBXpssGC7EbX0UKV67tMIfdyIrSmCaOn9PwLOXdycQLMNQpHpEwFxHmgkRzdqqe6YDscNrCw9LlqNGs0zpRcAKc2rECz1Fqc25mGpXcPUcbaVfaSA3Fp9twefXoquos3U8h7CJyaESssLf180+HtF5OpEvmPdjh9ErvvAksuPCjvTCk7KktCWckEHM7AtWavGmp7suwcugx82OyrhEBSgllPf3JwVHv8BfIuKQ4P+tY/xnq6Xm9S/h+P5MN9pmbLgNFuwRbOK6TJFS5VS4RgJh6Nx6m7/pwfnyJ9f3GKZ4/ZSnP/JTAU96yDFnY1wXiRupIJo1/PEOg6L7n9awB3dvhbMFi4SYKTkNmxrD2aQb3WyQh1ZSqza9Sc7WJX2HqclgkcnB0q3cxEd7JezrYiMzTdHl6XrGxGEptFfmKp+qzWDAAtqD8ejBBgNzEzG5vy/W0eFulqcR47WvRDfIS7vpueMTTu6a6oqGlxBOTmCeUoMx6qdAF+sO0crkNTc4tn+pyGOuxG66vapM2oimRWgmhj1flkdgJ2dFfcixVvQOxc2Sqd7f9XIe+y3L8rbG76dojnWL0LE9V0/nrHU2ncaDl/TxE8R10CCs/6vDkjt14vkrJ9aKNZfFL0eG71RbXdZAqWV7XRIpnY1KaU0q8uov6CkcaZZS7uMovb9aaUAedsVKwa8HFprVg1DiURtfwtEn0kaonDhRFx55z2oXopKxovHkJ6/zD+nPFJ9dWjQipazXz0sxmRRDWcCaCRqJyAggPcQiXLt0Cmcbe7/OchbmOgF/t/GoaS0Fl+CiIonjsuHn5kJtgrTvOYN0rTv1Ss4FJPuml/E6maf1iSI22o0BLs1rsqlGk782SaFnKYUcPWYMhXv3hlvINPqsWcLxJhY1EAyLTzBYKj9LBbUp5AFd0KQp7alc+0NKbKXOjZjqTuRkL2Y3FMVD4iUjleeJPyYcmQw0abQyJhKfo0W2aa/sAshYcKSvE9L15KdEc1K2ZhYfJtZU8bMZ9rtOwy+H1XxwB/UuJkempYLWB6q5AccY1pVBky+poUwM8prKRYxtDiD3QIj/Rtbciszw3S4s61WySNW2O+5476r03dzGnnY6lI6ZyujVJ5tHe4yULmXRPpjjXjnRFLnPqs8cdHlq/Oqws7xIo9M7Za+HEcKD76IF2RR8MKo5yBedCJ/GjZWqmGVXKYKmVhV+CQkFp51ryAxDMFadfYyL29UVpmUPkiuPxYNUFCoAutSS5bigkIFPN1wxP3HbKq0d/ai0AoB8HHg3XZ9XSGaH3zMsKFuquV5YZ5GddXJstGTp8eY47R28sIc567VbSJ1hI6o34bhfT7tcS4JqvIJbEs2nfUN1CdJbN946ds24t6F2wsFblb/PN4osR5upwvniJrkwvNy+2Y8qSvmLkS8yEAoM4xrvqujptLfhQB9WG7+iSnLUC7mDNpFaMRYZ+jdproHyzBQc56hCNLMS+aOIhLPVCZVooy4i69UWIay6mBdZp5sU6T5HqLjyIlFg1hsDuWUibmeo9VfvsxAsyZ+s91QCyLWOoUpXVOeRJ2xiV4BlBq+GXzi4YZp3jiZKYuszallIeFS9y2NgZKzRcMU+UuTByLu+JCLz+Pizw5BTl14WcR5G0eCW1KvBzMc6SDfI+5N/97MJclu6c59v00HoJ6DL8t34VNHDPfSwDncJf+Eq4V02ATkA+KDgB0W/701QOa2uR7zNgbF7ukdl5P/Ykp8AawqlpJYhRLHiduxTjFvL0FbUcs3PBt7u5rgW9C1Gnzf59yrr1p79mRX4ubmi32o+5TflqWVeeTDaR1mszD6jQCk6wufEa3mk3CuKOQ8wXH1TF3KRutN7FNjUQBMXOiQtDCqOk2l8d+dswGnYsL3N3V6aeQkBZJ8Ch/F+bjNMd9jKOYn6l1G5pN1mkxfvKe4tqVoBVuGN2KEAssoR+qfHAF18mX4w8d4l1fumrloxRYx0oQqvYGfL60ZTyycncOaXIgLbQcX4zCg/RvRGvIJ6jYsZ+E550WfScDKE3fupnFA+ou1ql220U93Z9lXIqsXssYs+mtEPMEWZNTMiULxoiAYRObkSBZolpwb1CU8D7CZ+KJ3h1+MTjP/tqKXBnhuGerJKnErTUH/asQc/rdRQYC88JuYeF434E/kdF2aPrCQcadBBTwEj2U/6e4i7RaYTVFBg2EXCN5cux7Ah2+06hLt2LvBGf8BfkYrq2T5Za/1TxNEF/UaRmdMPdVk+5ezjzk9/lOKWHuXGI8JY/rXJZ3sXoBkM+LmsoyxrzOFteAhUW/yoHUMhcNDi+PM5fJt4M6+KuYOp6M2Bi5KT3J/DPoH9RLeQ3JN88AimeAQHdBYh1f4b/zmax8NxPsSi3C7+6Y0wMRC/wn/E4tBPXRS8U2AxuYtv3O1aMOwPsBEvkuoWLr+4oIsCdOxE8W07g/WJ517EmbmjDaoBnc+wwxvTBd2Fq+/gF858+FD8cMdd4fED/h98T/Az2Dfw3jewsBkyho3GA0QdTzw5T7AhWIuYXjbE7HMKL2IXvJ3ECfWHTCUGB3213gb9n8Y9/DA8CEa+QThJGh9c2iBfcvujnaeLMsB2+TNIbpFcC7yYpwB2HDgwde3fm8I0dBvhzeuvH8EXoYJNFNAahAL2xVx990QefAfwxjOzwLuO/wPQAndwpopg6me3dxQ5slR+TVZxFgQNETm4m+C0ODz+gOYHdxMGH7g20jcM7/Hc+BpGUwssYsR4ntvw6XYZ2CEBux+x3+D/vBumLKN4QiUjgejb75QbdgWAgNA1xBlMYplOYBps4ZIL/ZO4U6OHPcOBRGk/pTRrjBmkniG/AaIIgnLve0SuEhN0tfJyxFDgMqUSiCR97oesgwamBPyXeCUNkPX+BrOen2CiGf7/HITvPQwRIUenwAlmBcrF+b8eel+CrO2AQNr4EEYlnACY4YtwBAED2Y0P6B98vM+grJWDwYcwYEDud+sgDLrGkmxCjp6i9LVxiG2TMFNGKiRNSF7+buoyBbO/IA5qFEYIg9oAtjVaLDT95LKBG4Am7Mq6oOf6czv0F8OktMVwSzV2TBITVKwRglGR2QtVJ4CC3ludwLgfFEZCiaPgFApdiBFpm2yJ1KHchNGkL1mDKUt0sadvmmagnmAABegeKdDEFQoeZ39hnmABh7JHgTfzJBD3tMwDGvsw9fVjyceViT/cAT1T5uIUwrfZvZu/htJAqL1+/evXiVXmGDgzz49xtOj/8xudhfnY2P/nj+mNOPzYecChzX/XJRfjaUrJV7rW+8elFNVTrxiulZmbK83R7vAr9h8uzDj/FoiWLbMncCxaeLqSPsHLuLZ9RoM0y9fSmqad0WmnHEkEe62YeU0L8hMs1efyrg2tjoKrloKK6hOlCebH6CDYQ/FVPQZsH8BEt21jm5LSfsDbm4XJn6ZL7rUZxrTDqpDlSp944R5xr4Gmqzvvd3vDnP/rLv/MI//zuH569/y///7/2H/ybv/ToEf79W/DsRJaITp/HQKYFUFfmeY2S3spZBATZzotJp3nWffYqxdAxz8Zv7UP7aG9PN48UykhwG+yxC6JmeHm2twetYW3RJHRBiUhBIZve2GkUHBwc2jGWYjiyXwFgNhfYy95eBgpxEM1WtoCKrVlVDv6AT+piNQynYn7V2c0pNZSJnk1JuHJiUBWL8eF4fOB6X3e9set0X06dr7s/feVNui9/8vJg8vWBc3T04oVsO12GtPz0LPty5OKzvO4DvpKPJZUPewdGdEJKLhRmhNgh/OkewZ+u6zpOdzye5PdVrBRBTnHqlHOOfdhAHf5dDYmUUMqCzC+GW/OToKIBsdBiPDKYF9RpVQJUZUnRwGii97RFVIhE6+JWBgsO1NPVG/69vjr+j7/zH/+NLvyMf/8a/MVkBulzVkTwPJr1sruMFTYWiQuSNFOLROSIsOQsOvT/4b/61d9JADT+/U8k9NMbxPL5Bbay8e/NIfF4t9vd825kGCHbIGDTkRKCHrO8k6Dtv1Gk5AJOBwT2W8/Ros9qAIk/BoByXiKUDm+sPy6D6DDF4g2GisoEFb8pQaDxXBIz1gG5BCA2EaSLFLWRUFcwlFUZIhxSooQim+oBYqhXBT6DibFx+WvYpVlmz1PY0bLVpu0qx19umWIJKfqmbnQHhobkd9YaQ/b5GohJ0VSH18veQe/Q1DYl5jz30wxrHX1oA+trMywqBHUaR+78wneTCNTjlgMInHStdipfn/leMEl3tapYJco8aXs9HYYX9sXp8cg+G5yfjsrDYsCuSZDXgZlWr6jySFtN0FHPwIZOkjird1NkrMm3Tjq/cOIyAVqQT4NnhoB/unyja8UB+Z85x8w8vnzqrD+uAYJ/PnqrD0iNoeNXTaMKjTxM6miK5UtIkMonppH95jedT4wXWmfQJN2Emnw3+7UffwY8kcvPKEYRV0Q7VKNk1nvxzXDYe3HUe/ni1WfFmi+8doh/ODwAZOv4/Dd7vV5v74epV4C2esUM7nWqResNr6UiMqReVVWkEY91N5acfNsoMp9NxVinp033ajRK/UEUeu+m09TLfiAaSoFRdqsz4FEruCSzYUtyRM7iw8tBfMxS+GiNopgZKsyNXq/byDjwzVWIFO/o1xurqPxX12m51TL0szNn4QcNS/Dt2/fmxpVal4nBwkmUNMsfFDnrSG2HXdvDKdsJVx32T7gMAvVffvZGaY7grH2J3fH58dWFdXl8cfrG6sMZ/+J4mUUY4O+ehnBMD/D7Mwd2p0mn0ObkdNS/GgyvB+8u31h//qf/zcjzLCdwkoX1bjiw7p6TbeL4bd86PHphvXz1+uvnh9Z7L/zzP/1vi5BOz85O+9dvrCdFEGTZKIN4kgO4OL48/ub0xHr39j8FEFb//Hg0Oh2hzJx4faAQKthOkH9/+uH08tq6/uUQhvtkePWufzoaDS6/Ob26endFyCiw4fXb47fnp1b/+P0Iv9dKYL1L+jxrNP16miRRojcevhsBZlenw+PBlXXcR0KNDIN8AX/qB9k/Pz2+Aiw53nKG6IP9T751f24pK/60USHonmBjVeCMYl0VTaB+hWyroNRuy1+Q9rCuEhBOP6wl+0odfqoDv/izlvJBLLbbrV4B2WqBvDSew1HG9LFuVtYI4Ek9Yz+p4Oy+k3mzKGngQLOcrQA5IuZaY1sV6XGHSTQOvEWLcTJLh2ddOKEzY9nV5MitfOhW/dhHGMRRtfoMgm86ypxsmTbxP2aLqZjLvOiaUip2UwPGrg+wTChsZrTYNS4xsALehfadZdrSAtBib/9k6OfXiNfeXWbEX2rinx4n5L0mnMoM/HkU2mF06yXnUZrW6q5PhpdneLsTRBSIHWOjJ5U6Kn586wMG6XyZTaLbEHNPjCk9FyXdnyRUbqSFjvrkLWv11nE/LuOf8d/ew6niSYXCevqL94PhBTxoVFVp5BZ6MAQrEmQwz6200ysvBpax1PYPmugXqIlK1n5QOh+UTm1+fjhKp+ThLfXLglj8PJqlUeI+6I5/EXRH89Q/qIs/NHXxPJp966RXmPbKm5xBs74TOy56fNeqj9DMgnYWb2hhS0s0rVYkDcbOBjtglSIJCOzIwolON1tZMl8+WDJ/GPpjJa8/6JMP+qQ2Pz8cfbKSp3977Jf1e82DuvkXQd3MN+kHHXNrHVP31v5//r8n3d+Dn/HvfyS9tb9ZYir85zBDiT3Dn1WfcMdKHYyEwBibxKLX5M1V8AP/P//dn/X+9ctHj/Dv35aQLzwnXXKf9efDC/vEJ2XWSVbkDh4v8gfrem6pbXerNQFkb/ohxfVsgNJRtOwPuZc8us4PQXPOB2iJtxihRluriL3u7Rv0BOx0RGmutu7aYnDyFEAUm1XAjn/DVURWLT1PRSAKj52OREEHXp/RhHs45ftBA86XZ6LoqnU7F8VPdMxFijMOs0w7CglL59EymLA4QhZCyDIz04ABdak0mrBl8KqwVXQcndyEhChe034gCgIqx6oLYy2+rfAW7mKGh7TdNCh9k2+xJBuMYEoB4vAzuotabGvDGmAqc3QsD7NTF3jaQnqz8oDYtivm6+U3hJoYbJnPqKfrkYW+qUevLD/zFpb3rBLeq7bwjn7Se/XqKIf3QeejkMBja6CW6014Wl7rw8jENBZ1eqIG8TSRGXcSU/KSQj0RZTCYtQMjZJUaJJOIJ4BQPhOhVT1LwWdXlHeeNYHdaAIcOQGswTTxWMTmckZDgk4W0cSfsrhJ6k/G/E5UdKDNAovHO1h0HNTbYCXTJmFTPykgh8XScHKrJ1XVvjecUleAEPlrqVJmcdpYnsRlPMGsLj1L9rurqXOf1QPdaOLcLSbOzZHZ/bRdeSmcv+okHhflv+Lh69+pM3niiKR75WUIIBB0z2Jd8FhXjNPc0URNnrWCvdF8IexrPp6cRCIjjFZeyREi3Lj169vZL48vzmUib896QvCeWE4GG+8YUyritowR+CLnDAMtx6KMEwsv5r0BHjiMn7G8oXdM1eSFFpsm/wrjgvTZFxqxOtf0mcyIZZroa5miQM/HhNovwgEd2MN6P0g4LBOETDPxgX29TJIW6ciBYC54Tm8VlshfQe+6IlsCS15AW08YQQMMWJfsQfB2x3Z4lZ+H0jf2siEDFntpmEV0CEib1jCrCZlidpYQ2C3FlDZhpDxlpiP228dxnGqrHbvAWeGjkbzA5v9nLNnRwg9gbgWM8Yp6+egHEf+RJ87q8NQWPcsE9T5mqbGfHc2TLjZSmpfPLjiWhIUy+hbiQ9SDhs0KlbxqMfJu/Ef9wEkbue/yqu8FQf99x2I/ndBPb69HHWswvHzXsU6vvx2cfVelZEM3mNOZuuqJ31z8bWdre/qsGfBGbDJV9hNBrl0zxZ//6X9HEP/8T//79owR0WhbbSeD4ei0X6cABgELwr8AzokmTdzQ73esb94ff3PasU5OrzrWaKDNfA7OYvBMW09Pnxo3b7OgNmx2sKfRgLohcnwDWpeHSl6hh11x0fhZO+Aba5KCk4ok/+xixjABLRjrGItQz4xWBsZa506asUwLzYcLfUAiAQOOBm9I6LqDGRpUDeYW9AoWHw2wnAlq3XTGDbys9syjhlTXMjvB7DAdn87+HLbG8mcKg+dDRjuCmsNQqNsMX5iNiZdbp7S18QFT3wiewNkvYKGOEU6r9IPOkTwZ1EcvzswMgx1HIaoAoGniaTxhBxT4f+wlmOoszAL2GaCHtRaxfC4/u6eYAY4SUSV1VEa77aBSnCh2MTTCTEmBZCmwqMxO4BRHtaFhhgWAcYPH1oJixJfJi95hE+h1xUQO+mU1UWU4WwNRj8fjxLvhRZoYcacM21yZ2BFVLUfp6x5J3NTPNvSu1tLzuy5+f9pIesyKgPUm8BzEqCYuAYuLkAAiZh+9FT8JkXsum4nefqtMBYWLFyNyKhhWBaNW7ClkZHeF+gZPxUJ53Q56bbAiAAfnVza1Ivb96PQE9/jh1Wn/+Bp/fvd29O789BoUDHh2PrgYXB5f/fI7qyZu/x5owDPvE1jNCKZk5WdTphQr8SxV8RUm/BR0cYflNR57Mz8McZ+mvMOhdwsyzwmxJAimAATZ60eTJtp9Yko47sKTdXYPVVqc3mWJU2JyWRrYOryfkeRWjm1GcrTOSI7a8zOmt+uwnFkb8uxuxvdinfG9aDNTJhH5G3LjM9xk1txP5jeMeM/E4sB7akK04m2g+k7ctqm5wfJbLZlsrfq2iV6rF0YnV29770+v5/GJqMlRuuzgmq51cm69P4WFDGrKbB4vSbmaXb5VminmdPSf07cc5TvVfqsnGC0Z+A66L49++vKnr78++umr0jfcfIQ2H+VdfrIXJ3YNxeKBDw5YyntVa88pX9SbSSdV3gltj9mWr5yJH1lvPdiDk33lK6G+AM2Vp4Y9VmG1/dJ2tI9GLdg29tW1ta9KbPjiQHupC7H610f7LEll9RcvEAPtCfX6ArSIEnt9GPX86SA88VPXSSZpFYtda9Vb/XAcLeHMJtLVsw3mFjUzdw4qeMivUyYMqjYTCgtuBFQZtQRPd8rA+Mj3aKj10EElteYOHA2xCPgEaOBmrFohCA+8gFbAsCuOscerZvm4mni5eAfOFzPQOLuUVlCmYu9Z1rtQxQTOHamPbRIYIVdpOXZUZGsJI3H4yEDu4f043q1ECgi6u4HjxXiJxciZrbmnvMcZirDY0JLKwIuDE9vkScOBvRxAY6JPKtIY4W0O7OwKjMTrcjYUtdWFapRHo6arNPMwaXZICX0pI69KLJ9uZlN5fJT5VAUmysf+tM8QUpFfXQOI3v0JG8ZRRnEjig0MoySrFTn9/u4kzmCoBPuapM1g+BdM2JD/WKWouayUCOz+lin4uOiLYBTRgkYP1qwbJT5Qi85YIudwp1CNmnekLui6LoUM4QatBStYTQJElU5tRQni6s6BeiCikq4CQWIOH0z9O2/SDbxwls3XGgloVmG68Cl3GjfYtxqUJprE8NoO6ste3WSpfVjgmy7f9+HHMLoNhzjZG6xidOjB/OXWje9gWuYlA4dMvsxNzIKVdrG8ec/aRqjgoOfHVtSOXL8Ye+Q2ou9uBdzDMvKlxS2Q1RZ51dpm65RDLRKEiALLwo8D705Y1vMhG1a9OmZd+2k/en3MCpSa0WOBm7wDGhM5ToWRqpoUh6kNrqNrNxQB7wS3zirVFcKDL1zwPKgVBbWiSsh82x+Eb5PImbhApOHHrIWYIfuVaELiQBc7fOdihwD8mO1c1tN0Oe4+o/2rzSlFOhrk8Ej/RUMaAGL7IO6MytjLPXXUheawbHeimLochCpq2CfMTqd2hbd28Du7b2Ue4a9fdse+TBKuShqQxdMCXR9OGA+i4FOIguqF/m6ZbbnSo2WW7nCtZxFW4y2teLZzCXUXS+TKvUrXLL5feoQWHvDZLoxl3xi7V656BYIcWvWq7/Cbcrbvo78yIqfAKGzgsAvThTnd364rMYoT9CAyHkTGl6E9bHSq0SOjfv6P/+r//h38jH9/V0ZGjUjspM8XWNwef+yl88e/93zsh8/HTjrf89x5BDR8ghWvF5h3AThbuJ2wBhSrIZYDShBnpui+4RP8P2rGGVaG/b19Han/+7/+t3/zf/vq0SP8a0mkfgnTiiVPloEHiAHDYIGh3gqesoeWfEizgy+6wlHlsHf4sz1WlYUMi9b+MgnfyAZvMhBZ+z9DGR0nHhxHrHCa0a9RMnNCsS73ZYN9hEYWBJAh8NgSPXORRe9VX/x9RIdlESbjqA4J780Jz/2jg8Ofdg9edA8O9xmLaUDkzSYbFrWlnUUYMxKBCDoCMwDkEsyfCq7FC23+qOtPfsafYkkY5fEfW5K9yDlmCWLg8LX4+DemRnRjpawN2e7Fkd6OkP7NXpEb/6fw//q3fwY/49+/AX+v3436x11Y/w66aD+nX3vAzk7+oovM0f2gFu7pj46v1CeHe32qdzbpvl3xO6jTMEtWXaUU0xurTV2mPawx3GWNQXz4U2AbypRe+noxVb9lIql7Hs3g6F6ucDP8+Vd/6Xd+lJPh98//yfWf/OjRI/z71x/lf/7Hv4//mrsrwgj/afoP/9HvP3qEfw81GP/zj/QiVK3qPxXB/4t/NvyXf3f/q0f4Vwf/j3v14G/agC8WzcrBX/3iq1YltIoQi4WGcojx9VemskNFAMVaQjmAP5MAqioLFWEVI11zWH/vP/+qLu61CKgY2JoD+lcSkHq/aghzLYIs7gg5yP/3n39Vsz8U4RSFeA7nH/wvXzWK9CK0omTIof3J//pVtZwY/vyv/FX87D+E//4A+P6/QGwe/XtQSwcI7qkNlrZKAADzvgEAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAABlAAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UucG5mLlBuZjNkNmIwNmY0MTg3Yl92MS4wL0RlcGxveW1lbnQvUE1fRElDVElPTkFSWS9QTV9EaWN0aW9uYXJ5LnlhbWztGttu2zj2vV9B5GU2gG20STq77TwljtsaaBIjTgIMFn2gJcrmRiI1JJXEOygwH7L7c/Mlew5JWZQsx47jdgps8hJJJM/9TufZKY8Ml4Kq+ftXBP5yxTQTEXtPFPut4IrF9rM2qohMoZjbZXcGZz8xGjNVrT0CqfxrgRhAZsmNFu/J7y1QOiSSWcaEeU/2bpjSQAGRCTEzRkZnpKKpR8pVrskdE7FUJGYJFyzu7X1tRzqOZiyjz0ZNHBxSaBaTBPCaGdDQoM7vuXNwNKGKEZ2ziCccTnFhwd4MxmTsPkYUj+o22kVyNc/ZeprPPxADG4mR5H4msxayCM3zlDPd8zCXZUeoiImeySKNSUZNNLN0gja5mDqGgXQGZ8w5zVgbtQ7eKmrvaFrAh+MoY3VxWyK8tJ/ASEBAaLFnjGowPoSun2S3VCk6X7bZLskA4mZqCHATAUJaiA04SHgKfMPz4cfRCG0HZAw8stA4OoSlmjVtmqC8tTU3PNst9XX00ZJWMrtsZxbT1ZgcHvSODt4SblhG2P5KeG83hXfwj97btwcVvJu6HQkLHk+DtCIWw6d7bmbkZtxmNMQiPWU6UjxHHa4X8xV7MIBtcaI0nrxQuQT5+deAmQ5IGsTNhZM7noklENnYBnjlHY9ZjwT07ErydH8d2K0UQBcKcAcSxaz70GJqWQIkmYx5MrfMWnyeyziUocYzmQQANIoKRQ1L5359wvAoVw3iNBEMlbtaqX0pYv48lUYlCHgDBUYUPGpZbUA6EFnkMZAN/rLAuyvVRfuPA91KcdEzFBdVxOxebZdMF6l5LOL5UP5PLgybMvUl1OQpNdTF8GU3BBAIukccChKXe3elqHh/I9hb6QthX3l+KhE5WWiiizyXCsyPTCBFlSG8NfXX09mvx2efIU9gksXFnyy8nwg1kHgnhWE2LWd0DqejtIjL7LDgJeBTSBNgAzqQjV8s++yBZnnKyETKlFGxTvmXVEwb2pfWL2ka6tpu83VQu6JRYMrugjxe0QZWSC0cSjTLKdptTFKuDRpNzMF8mVmIFuXogcBqKe8QVsYFz4rMrXUz+lC9udQjJBygEZY/3jwsvN2ZHeGJK0wiOknZWixbGmATyxotXgsONdAaH9YMg4nuoBDB3OBBUCGDr5Gq3m4nua55O6JArXhuFrbg9P8LYb1pD2CkoNsSxmRusdzyVPpH0MwtM4i5yCZM9Ugb1G+hpbV4dqSnetjQVi9/eeAoLBUB9xuEDwaYlGAGkhUWeavDyMXkX/2U6rXWd37ZZ2nav+4Q93Rqn06uxh0yHJ1fdMjg6tPww5dVRTagYZEhFlWvfIvwbWe+neyvB7yVmSRBPinFtWuj+POP/1iIf/7x380NQ1puN0onw9F40H+sAExTZmk7A8uR8Tpr6Pc75OP18cdBh5wOLjtkPKxpvgJHHLy21NOrqyaqzmT2jNMOYhoPLRorjo9QdTEs8hoYdmVFk/3NgG9dSZaW1BT5Xx5mWhSwgWEd3zFFp61TBmdan6k2/dlymdLWXNQZ8nMZyw34HHQPPGNu0BBWMPdQV0QWAcCiMVbdtsdNmXm057FHNimeLcyOq/Ft7+9h10z+Q2DgFcs4R4hxbuR7obLcdvSCNmJWTadqvnFDU76wCdR+g4qQR+hW7UPdIlHV0Frcsty0GwwilgJLAKg0sRtXrkGB/zmD7lsAmNRtA/KMVMBIWvbuUARA7oQGBmW1WspDaOSHK8NJMBfDIUxiC8ipkkWOQgK6aJOrLQczHyiUNnM/8Hh2oBh7NznsvVkH+qlhogJ9tFqoDuV6oR5PJordcTdGccJNHLVVMbEjqRIa4PqGIl6H5znyXl2lH8euiafpB87SeGWxVIn+E9WzjFoz9lLzVERNJ7QAkbJbNvedUE658pro7XWCOT35vYVA/IOzN3h0BCdXEReCwQNrwl4gxrGhptD1BC8M5UL7yTMut0wRwIIX4B4PsdfjwSnm+NHloH98hc8XJ+OLz4MrKDDg2+fh2fD8+PLXL+Tr16+d7ycD6FYNp6kFWxuCAZ9+zavMjsG5H8WHhW85wtdQi4Nj4fKETbkQmKdBZJQIdg8xj4oipYqbOcZeLuN1svvOkqBRBuCwlzBMvQllMXgwii4ZeV7uJW++DSfVlOM5nBw8hZODze0ZSAKDSShEzS1tdjf8HT6Fv8NNNNUWIr++6na7r/Llm8xH7ierG0a8Zzp384Q3vdf1DcFtYLhW3rZl85FIFl/LWy0EuIS/fttkl8MLo9PLk9714GqWn6Ye3tJlh690yelncj0AR4YyZTrLC1tcTc9PgmPBOH3MWCPlBPvC+a2f0C6t+gHf6+7Rwbujdz///eDd26U9fnyEM59grersy469RmKz4YMGK1gPq/ZK8s262dakwVpZ7bnZ8iWNuSQnDHKw2gt2leULyDz42pJjA1PbW0pHezjUgrSxF/rWXhixYcfr2mI9iD2+fADL1otX7jhECmpfLNZDqCKWzOtm3OPJUJxyHVEV61UmhnnFjdYwNXAxkQX0bH7q5hPMPVZm0QxKcOGvU2IHtaaJwAS3AhpwvQBv75TB8NHucVDLlMIrkRmF1pDBSgwyiLBgBwgQPPACOgDjrjgmDPMeNC4cvWmSuosU6C+mUHF2UzoHKnMljYRutEfIhQgpgb5DczyjgENf0nrqEKougBPqOYO4h/fjeLciAxD27gbai0mRJEy5WXMvWEcNQW3DRQHSY7psnFyStxUO5HIALTBgRlQQibc5kNkDGIp1vRnyf9PwjgxaKgggtizQc21Y1rE9OZQFEsd1obC4vZnVi/bRdt8hJcFmnvQdQSHx8ysA0ft2wcZZVGu4GfjZ40gq82jI6fd3F3GGI3K2EG9btBmO/s+CzcC656pQc74yIrj7W1fgo9M3wQShBYce7lhXKg7Ssj0WEJfgFU7HGuxS6Akd+jGUZQzxA60MfFdmLoCE0WnTUIK0RjOQHoQo1Q0gLCiHDQl/YHE3ZWJqZk/iBCoroTOu7cDKDew3YqoWmkr2NmXqx/ZuO6l9cfBt3fda3Ap5L0ao7C28GH/QAzYUkztOIcuATVpwaORFNWIuTWkX7u0x1xJhQIOxPbM/HJYdVX0xYfZnI/Xs1qBdLBO/5NwlsTUnX+Xbzk891KZArFDALXiesodysl6x3OL1Ic/16mdz7us8B1Ae4Z6KeYDA8mR/OCVkWJo02awx16lXN/c8TQlN7+lc1wvC1z944HkpKxplxaog86k/FCdK0jgCIY1uzQZhxs6vyiM2HNTDjs9crgnAzS5zkb/pYtLdt/lrky5l8UODCp6tf3GQBoBcHsTMGPC+jKkTOhqoWDGtHWW0YiIMNW6Lm9OFqPDWDt7dfStO8yj5+ag74aa8owojDcTipCHXlw7jJRR8j1Cw2tEvCvNMT5eF0Tv0dSMNTZc93mWustyFUjld5Kp6ZfFbwSxZ2OC7LGyMvQAGAld6fQBhwdpqr+/4m3KX9/H3ykhcAKORwCEL2wtze3/71IjRVNBLyHgJGT9G9bBVV/M/UEsHCMrezi5XCgAA1zQAAFBLAwQUAAgICADPi0ZVAAAAAAAAAAAAAAAAXwAAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9EZXBsb3ltZW50L1lBTkdfTU9EVUxFL215bmV0Y29uZi55YW5nbY/dboMwDEbv8xRW7pmglSatPI1FTGWNOCgxVRni3Uf407rtzjnJ+fLZBzd0BH4U0iZIC5MBGFHuxYNi4iBQvVX1wgQ9pR4bAjtEuZ3CTSmprc3ypI/U8hOk1fUY4h2Fv1Bzij0Fm9OWQbHRjOH4GZ2LlNJ67yg1kftNzXXAB0cdtCHCa1KkB6897aWsPoryWpSVzUv8CmFhZexgX2t1Z3NUYaF4FOk46RaQp4NuBOCTzsYFu3qnHWH7A0+wcwAde4KBRav34/H8n9RjRA/TX+96efXW0rOZzTdQSwcI0o3dHdoAAAC7AQAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAABsAAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UucG5mLlBuZjNkNmIwNmY0MTg3Yl92MS4wL0RlcGxveW1lbnQvVkVORE9SX0xJQ0VOU0UvdmVuZG9yLWxpY2Vuc2UtbW9kZWwueG1s5VVNj5swEP0r0d4df2DAjlykfJRjVVXtpTcHhgQVDDIm2vz7Oia7ym7Y7KHHIiSYmTdvxvYbUCcwZWdRUxdgBkBtV0KzeG4bM3x5OjrXrzAO1rLrwUDRtf2yswesh7LAb5IwXZKnTF35jG4hEzpKqRB7xFhSIs73EdIlIQrfghQYV7sGWv9Efdc1vpfB3btngLU5aVtrb45jXWb7GLhIOCvitOJxqrWWVCYFF6mUyT5KFP6M4b5EcO/ollO5oTlbr/kuZxsm8mQXy22ay806nyOe6E5gh7ozmd+ay6InQ4Vll5zHFRMMaR0TxEUBSPo3hadNKWEobN27S8K0W4ubGotLDYVvQcqde8h+mfpSRvtgsFVtChtSBpypVpux0oUbLVhkoQILxtc1Y7sHm9FwKfwYpdzRwnDsmhKddDP6EqOpXfYdrNeC0wdQODjUFKXhuCcgvkv1mrL60r5u0FB0l4ZDxPeKZ2JD77XR1mEtr7q92oPT1qFSO8gYYQxRgkjyk5BVuH8rfANQ8NzX9vyKjq5oFq1i6W+PvkXcH++M66ral5H4A2d0sN3Yf+R/KI6ikqwUPPXjIvzgUF4gTUn0QBxX/oXnXwT+f1PHj5dj/3ajjbfSeA+ZWfq76aqIjhmNNWUgeRJVIoV9KpgUwP0ZpEzhTylmigQ/T9ZbmfvPTLqO/WDFa8pYzlkSka9kwyiZo54I/0c5z4hxZn8m4eK5H0T2F1BLBwgL6znaIwIAADcGAABQSwMEFAAICAgAz4tGVQAAAAAAAAAAAAAAAGQAAABBcnRpZmFjdHMvb3JnLm9wZW5lY29tcC5yZXNvdXJjZS5wbmYuUG5mM2Q2YjA2ZjQxODdiX3YxLjAvRGVwbG95bWVudC9WRl9MSUNFTlNFL3ZmLWxpY2Vuc2UtbW9kZWwueG1s7ZVNb9wgEIb/yip3wreBiFraTepzD+2lN4whseovYXuV/Pti1ok2u1aS3ruytJ7hZRgPz4A+etDU1nWjA21fuWb33Dbd+O3maZqGOwiTddsPrnO2b4fbPjxCM1YWvpsE8S26yfXRdVUfQGdal0tDBZayBIRkFWCspMBUCGl4LtJx9brKWYaUpLZUHiNGnJKWOsw8ohYLI5mKk5JOe2emOTjwGPp5iHmP04Uv166b6qlxbfwHQ983q+rSneuUQMUY90QSYAxHgEnrgIpvGp7Sq9xoQz1Mdd/lp7x3Z4F2SyANz0V6ehlc/qurjy6MJg4mW9edDWnKCDcyrLujCbWJ5jzHryy5YzJjxHLhGRfGGIVVZpkUSmUlzTT8LML1Esn9gO8ZVgdckP2ePRTkQGSRPXB1Lwp12BdbgU/hWtPN3tilzAEE511wXaxUN7elCzlOPw0/VunpKbjxqW8qcDTNHIsyd/WU/3AhcjSZR6dhcujTKE6onITwaupS3aXcEbsFqJOhI6XBLNtgGjDafil80seaw42xcSGordOerFC+2eNkwgQqM7mcIEIARgBlPxG6S89vDc8E2j0PdXh5U9NVTegdV/GJ6nPFdZU3XCu1r032x728Y/7Kv+JsvSKVZCK2moxNh5kFBiP6Ac5rpF2MtEuR/p3n6yQvcPTIcIK5wbG1WUa9FK4UkijpWKyWIBp+GmJjkeRn2f5eFfGIEXseW5nvMSEFIxlF39GBYLQV+stM/0f6y0hvALlR+RO8w7LMa50JNaVlPJ495+4tUtdzfpPShHfmSbYEA4gqHm8cxIESwr/C//7uSBBQ7xEWviyZ5UxhpqhBAvF46WQ0QyZuxMakC+elvX4kvLxX879QSwcInJ6rNI0CAABqBwAAUEsDBBQACAgIAM+LRlUAAAAAAAAAAAAAAABhAAAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UucG5mLlBuZjNkNmIwNmY0MTg3Yl92MS4wL0RlcGxveW1lbnQvVkVTX0VWRU5UUy9NeVBuZl9QbmZfdjEueWFtbO1a227bOBB9z1cQffFL7ObitoD3SVblxAtftJJjYHexCBiJsolKpJakkrpFgH7G7u/1S5aUHduJqIsTI6635oMAS5yjGc7hzBHher1+hG4REa0jIEfMEEfEQy3A0N8JZshPb3PBEk8kDM1nqeHRKKLEUqaXCPqIrR4VAD0MDeDD8GkEMWmBr1mIY3ALw0TeIFTgAHtQYEruMwhpPAMYoWKQgQS57s9sEtQNL0LXHRwiR4YyyyLGDFOGxawMkEUwzPGn62uNs7MZiikTmEwsIuQrn2uXG3/Wkssn8zlF0Z1oDGnCPFTZw/n0DRy7RYzLDBf71WycNE51tjwlZw9zgQhi4ypYH/RYXEAmrJh60z72GOXIqxhACPlGduu87mAU+nxbu8qbQjKRqZIrIt8gd2vhOtj9675luNedbs9ys2HNwUazuIQyQf6OykZaKUFnDQ0NIWNwNgwUsfxLyKd9GGcXoMLyPcLTI6hRB6Q6hVdjuvBMH98qdeBrAYgan9BsrFbDhjgvjetocnrxmoZ0UUiXd3SR3d8fv7JfssOop7zMteWzyRcc78BPxfKOKv1C7YhqrlI2aZxf2Hbj/KzRPH+3U68XG6+a4+PTE+lsEc/vjxqNxlF9L3VFTAIHTWTHYEXSonLDqyhE7PSt61Kk1I9NG8tq+V4iZHYmMTZ503N7tcAR+oMSNAwCjsSeKJQnRNmuZoioj8JBEt3kyIVsSBRG42Y3NnxfFe5HRjRWDupYpYzeb2qkDfz5EoIjhuFmsXIaiDvIUNFLs1YJwaIDIxyWbMF2+0pvnKu6dAQjPmXl9UeVnE2qNvREGvCfAJLZ8fxCkjBcv4K/0qmqmis48GbpndEznD4YGH2rBUzERN9IhCzNAnsWYTQM1fwOlN3JP35i89FyTadrj7rDQQt8//aPixCAIWQRGNpd8PntqRx1o22C07Nz0Hz3/sPbU3CFyPdv/z5Fsjodyxy1QO0pxJkcGojaCqBvDIwL6yMYtn+VEMDsGa5ruapm+siUK6QENgxX862xNRiB0e+2DLdmO0PTct3u4MJynKGTOrOGLR+3jXbPAqZx5ar5JiUBniRzjg+ZmXC5VPhL+tNijLLHxvbQlZ45lm10HWCYaqFcTZDnchQHafYsw5FeLvxeZiid8ObVW/euq+zDqCIhApiE4tlSoKOs15VA8Q55qUApbMs/kHrYVASQYLxR7cu88LU++B/GRuIjpdh2W/0aZKUN0tR+h6saI0uWj0UpQK2Y2LUcZptQoAllJQzU19kcSDcl1wZtlcfIU2cXNqM3IYoqxDk/6UCgDwmcIBXlqqSCVeigOHZXXnN3n6bwBa6AIuFl/Bf4VrMD0lxKSYbnAqxLgvRbMT+vpQcY2/6AnReF5x1abNuXWFIBSjKYMOEVTwAq9PZXcx8u8zxCn4XW/6USf32fFPfKfMoSeDeC1qZ3iPUo54XatWYPOgBzEFIu2yGIlVEtV6OqyXdYesCnifDpHQE4ADdQCMRmCsVnUpTIslGuUWvtuVUbep+S+JfFryv5VVHLEazWb1dduy9vlErVNHLgJnEcztJCJvNcSZ06KJaUAev2ByX6AyrRJbUPovMgOh/lZ39E55LDL9SXT8ribpSltuIetOPPoB31qT/IxX2Tiz06uYTcQdCbIr8jzUwYQ0/u02L5KM2AtAMLQ6AswYNpvpDUHHaWnAPmCUnpwJZOONWfbl50ktk8nGTuh37M5fpBTx705KP87I+ezOX0/+f8srjXHOTmzyA3V036oDFfrDH/A1BLBwieiVsmNAUAAHItAABQSwECFAAUAAgICADPi0ZVz1L9QjQAAABFAAAACQAAAAAAAAAAAAAAAAAAAAAAY3Nhci5tZXRhUEsBAhQAFAAICAgAz4tGVVa+aqOZAAAAxAAAABkAAAAAAAAAAAAAAAAAawAAAFRPU0NBLU1ldGFkYXRhL1RPU0NBLm1ldGFQSwECFAAUAAgICADPi0ZVbBA/28YDAAC4CgAAPAAAAAAAAAAAAAAAAABLAQAARGVmaW5pdGlvbnMvc2VydmljZS1EZW1vUG5mRTJyb3FzYnk0MmZmdml3eW9sZXQtdGVtcGxhdGUueW1sUEsBAhQAFAAICAgAz4tGVaK8zHkOAQAAZwEAAAUAAAAAAAAAAAAAAAAAewUAAE5TLm1mUEsBAhQAFAAICAgAz4tGVbOk5y5SAQAAdAMAAEYAAAAAAAAAAAAAAAAAvAYAAERlZmluaXRpb25zL3NlcnZpY2UtRGVtb1BuZkUycm9xc2J5NDJmZnZpd3lvbGV0LXRlbXBsYXRlLWludGVyZmFjZS55bWxQSwECFAAUAAgICADPi0ZVhuUXwGQCAAB3BgAAJgAAAAAAAAAAAAAAAACCCAAARGVmaW5pdGlvbnMvcmVzb3VyY2UtUG9ydC10ZW1wbGF0ZS55bWxQSwECFAAUAAgICADPi0ZVGXuVTJkEAADYDwAAMQAAAAAAAAAAAAAAAAA6CwAARGVmaW5pdGlvbnMvcmVzb3VyY2UtUG5mM2Q2YjA2ZjQxODdiLXRlbXBsYXRlLnltbFBLAQIUABQACAgIAM+LRlUAkGJRfAMAAPEbAAA7AAAAAAAAAAAAAAAAADIQAABEZWZpbml0aW9ucy9yZXNvdXJjZS1QbmYzZDZiMDZmNDE4N2ItdGVtcGxhdGUtaW50ZXJmYWNlLnltbFBLAQIUABQACAgIAM+LRlUDAW1hIgIAAMcEAAAoAAAAAAAAAAAAAAAAABcUAABEZWZpbml0aW9ucy9yZXNvdXJjZS1FeHRjcDItdGVtcGxhdGUueW1sUEsBAhQAFAAICAgAz4tGVQ4kfjJ0BAAAfxwAACwAAAAAAAAAAAAAAAAAjxYAAERlZmluaXRpb25zL3Jlc291cmNlLUdsb2JhbHBvcnQtdGVtcGxhdGUueW1sUEsBAhQAFAAICAgAz4tGVVTOYtgoSwAAh/4BABQAAAAAAAAAAAAAAAAAXRsAAERlZmluaXRpb25zL2RhdGEueW1sUEsBAhQAFAAICAgAz4tGVYkFXP9KBwAA+BkAABYAAAAAAAAAAAAAAAAAx2YAAERlZmluaXRpb25zL2dyb3Vwcy55bWxQSwECFAAUAAgICADPi0ZVDJXD15cQAABEaQAAGAAAAAAAAAAAAAAAAABVbgAARGVmaW5pdGlvbnMvcG9saWNpZXMueW1sUEsBAhQAFAAICAgAz4tGVYatnEMmAgAAAQQAABsAAAAAAAAAAAAAAAAAMn8AAERlZmluaXRpb25zL2Fubm90YXRpb25zLnltbFBLAQIUABQACAgIAM+LRlX40mcGFwcAAMQcAAAdAAAAAAAAAAAAAAAAAKGBAABEZWZpbml0aW9ucy9yZWxhdGlvbnNoaXBzLnltbFBLAQIUABQACAgIAM+LRlVDfFTYdAYAALkSAAAZAAAAAAAAAAAAAAAAAAOJAABEZWZpbml0aW9ucy9hcnRpZmFjdHMueW1sUEsBAhQAFAAICAgAz4tGVbWTfrSbCAAALykAABwAAAAAAAAAAAAAAAAAvo8AAERlZmluaXRpb25zL2NhcGFiaWxpdGllcy55bWxQSwECFAAUAAgICADPi0ZVNDFINLcEAADPGQAAGgAAAAAAAAAAAAAAAACjmAAARGVmaW5pdGlvbnMvaW50ZXJmYWNlcy55bWxQSwECFAAUAAgICADPi0ZVatMxX25IAABYmgIAFQAAAAAAAAAAAAAAAACinQAARGVmaW5pdGlvbnMvbm9kZXMueW1sUEsBAhQAFAAICAgAz4tGVeH8Jy0hAAAAIQAAAFwAAAAAAAAAAAAAAAAAU+YAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9JbmZvcm1hdGlvbmFsL09USEVSL3VzZXJfZ3VpZGUudHh0UEsBAhQAFAAICAgAz4tGVT8mqYuQAQAAIAMAAHMAAAAAAAAAAAAAAAAA/uYAAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9JbmZvcm1hdGlvbmFsL09USEVSL1ZTUF9wTkYtM2Q2YjA2ZjQtMTg3Yl9JbmZvcm1hdGlvbi50eHRQSwECFAAUAAgICADPi0ZV7qkNlrZKAADzvgEAWgAAAAAAAAAAAAAAAAAv6QAAQXJ0aWZhY3RzL29yZy5vcGVuZWNvbXAucmVzb3VyY2UucG5mLlBuZjNkNmIwNmY0MTg3Yl92MS4wL0RlcGxveW1lbnQvRVRTSV9QQUNLQUdFL3BORi5jc2FyUEsBAhQAFAAICAgAz4tGVcrezi5XCgAA1zQAAGUAAAAAAAAAAAAAAAAAbTQBAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9EZXBsb3ltZW50L1BNX0RJQ1RJT05BUlkvUE1fRGljdGlvbmFyeS55YW1sUEsBAhQAFAAICAgAz4tGVdKN3R3aAAAAuwEAAF8AAAAAAAAAAAAAAAAAVz8BAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9EZXBsb3ltZW50L1lBTkdfTU9EVUxFL215bmV0Y29uZi55YW5nUEsBAhQAFAAICAgAz4tGVQvrOdojAgAANwYAAGwAAAAAAAAAAAAAAAAAvkABAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9EZXBsb3ltZW50L1ZFTkRPUl9MSUNFTlNFL3ZlbmRvci1saWNlbnNlLW1vZGVsLnhtbFBLAQIUABQACAgIAM+LRlWcnqs0jQIAAGoHAABkAAAAAAAAAAAAAAAAAHtDAQBBcnRpZmFjdHMvb3JnLm9wZW5lY29tcC5yZXNvdXJjZS5wbmYuUG5mM2Q2YjA2ZjQxODdiX3YxLjAvRGVwbG95bWVudC9WRl9MSUNFTlNFL3ZmLWxpY2Vuc2UtbW9kZWwueG1sUEsBAhQAFAAICAgAz4tGVZ6JWyY0BQAAci0AAGEAAAAAAAAAAAAAAAAAmkYBAEFydGlmYWN0cy9vcmcub3BlbmVjb21wLnJlc291cmNlLnBuZi5QbmYzZDZiMDZmNDE4N2JfdjEuMC9EZXBsb3ltZW50L1ZFU19FVkVOVFMvTXlQbmZfUG5mX3YxLnlhbWxQSwUGAAAAABsAGwBlCgAAXUwBAAAA"}
2022-10-06T17:30:47.055Z|[0c1baa52-e417-47d8-b338-1aaaddb8fcb6]|qtp1533672820-30|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=[0c1baa52-e417-47d8-b338-1aaaddb8fcb6]]
2022-10-06T17:30:47.056Z|[0c1baa52-e417-47d8-b338-1aaaddb8fcb6]|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0010I Missing request ID. Assigned e9494b26-8cc9-426f-bca3-4ba9791434ef
2022-10-06T17:30:47.062Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.063Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.extractor.YamlExtractor#extract|BABEL0001I Distribution event: Extracting CSAR archive: service-DemoPnfE2roqsby42ffviwyolet-csar.csar
2022-10-06T17:30:47.066Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnfE2roqsby42ffviwyolet-template.yml
2022-10-06T17:30:47.066Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/service-DemoPnfE2roqsby42ffviwyolet-template-interface.yml
2022-10-06T17:30:47.067Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Port-template.yml
2022-10-06T17:30:47.068Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Pnf3d6b06f4187b-template.yml
2022-10-06T17:30:47.068Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Pnf3d6b06f4187b-template-interface.yml
2022-10-06T17:30:47.069Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Extcp2-template.yml
2022-10-06T17:30:47.069Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#createArtifact|BABEL0001I Distribution event: Creating artifact for: Definitions/resource-Globalport-template.yml
2022-10-06T17:30:47.071Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.072Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.073Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.074Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.075Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.075Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.076Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.077Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.078Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:47.080Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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.pnf.Pnf3d6b06f4187b_v1.0/Deployment/PM_DICTIONARY/PM_Dictionary.yaml
2022-10-06T17:30:47.081Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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.pnf.Pnf3d6b06f4187b_v1.0/Deployment/VES_EVENTS/MyPnf_Pnf_v1.yaml
2022-10-06T17:30:47.082Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.ModelGenerator#generateArtifacts|BABEL0001I Distribution event: Generating XML for 18 CSAR artifacts.
2022-10-06 17:30:47.089 INFO 10 --- [tp1533672820-30] org.reflections.Reflections : Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:30:47.089Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 3 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06 17:30:48.541 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06 17:30:48.541 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06T17:30:48.541Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:48.541Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06 17:30:48.542 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06 17:30:48.542 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06T17:30:48.542Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06T17:30:48.542Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06 17:30:48.542 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06T17:30:48.542Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06 17:30:48.543 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06 17:30:48.543 WARN 10 --- [tp1533672820-30] 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/temp5713682371059763181.csar
2022-10-06T17:30:48.543Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06 17:30:48.543 WARN 10 --- [tp1533672820-30] 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/temp5713682371059763181.csar
2022-10-06T17:30:48.543Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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/temp5713682371059763181.csar
2022-10-06T17:30:48.543Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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/temp5713682371059763181.csar
2022-10-06 17:30:48.543 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 3d6b06f4-187b 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06T17:30:48.543Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 3d6b06f4-187b 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp5713682371059763181.csar
2022-10-06 17:30:48.544 WARN 10 --- [tp1533672820-30] 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/temp5713682371059763181.csar
2022-10-06T17:30:48.544Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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/temp5713682371059763181.csar
2022-10-06 17:30:48.544 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06T17:30:48.544Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:48.564Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.xml.generator.api.AaiArtifactGenerator#generateResourceArtifact|BABEL0001I Distribution event: Generating resource model
2022-10-06T17:30:48.582Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:48.582Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: Extracting VNF Configuration data
2022-10-06 17:30:48.586 INFO 10 --- [tp1533672820-30] org.reflections.Reflections : Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06T17:30:48.586Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|org.reflections.Reflections||Reflections took 2 ms to scan 1 urls, producing 4 keys and 4 values
2022-10-06 17:30:49.955 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06 17:30:49.956 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : CSAR Warnings found! CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06T17:30:49.955Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:49.956Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||CSAR Warnings found! CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06 17:30:49.957 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06 17:30:49.957 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06T17:30:49.957Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||ToscaTemplate - verifyTemplate - 7 Parsing Warnings occurred...
2022-10-06T17:30:49.957Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [network_role, network_role_tag]. CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06 17:30:49.957 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06T17:30:49.957Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pnfExtCp_1" are missing field(s): [unit, type]. CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06 17:30:49.958 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06 17:30:49.958 WARN 10 --- [tp1533672820-30] 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/temp8404769813601468181.csar
2022-10-06T17:30:49.958Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: Data value of type "org.openecomp.datatypes.network.IpRequirements" is missing required field(s) "[supplemental_data]". CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06T17:30:49.958Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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/temp8404769813601468181.csar
2022-10-06 17:30:49.958 WARN 10 --- [tp1533672820-30] 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/temp8404769813601468181.csar
2022-10-06T17:30:49.958Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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/temp8404769813601468181.csar
2022-10-06 17:30:49.958 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 3d6b06f4-187b 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06T17:30:49.958Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||JTosca Exception [JE003]: MissingRequiredFieldError: properties of template "pNF 3d6b06f4-187b 0" are missing field(s): [nf_function, sdnc_model_version, software_versions, sdnc_artifact_name, nf_role, default_software_version, nf_type, sdnc_model_name]. CSAR name - /tmp/temp8404769813601468181.csar
2022-10-06 17:30:49.959 WARN 10 --- [tp1533672820-30] 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/temp8404769813601468181.csar
2022-10-06 17:30:49.959 WARN 10 --- [tp1533672820-30] o.o.s.t.p.impl.SdcToscaParserFactory : ####################################################################################################
2022-10-06T17:30:49.959Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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/temp8404769813601468181.csar
2022-10-06T17:30:49.959Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||WARN|org.onap.sdc.tosca.parser.impl.SdcToscaParserFactory||####################################################################################################
2022-10-06T17:30:49.960Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.debug|org.onap.aai.babel.csar.vnfcatalog.VnfVendorImageExtractor#extract|BABEL0001I Distribution event: []
2022-10-06T17:30:49.961Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|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
2022-10-06T17:30:49.961Z|e9494b26-8cc9-426f-bca3-4ba9791434ef|qtp1533672820-30|AAI-BAS|[ModelLoader]|||INFO|com.att.eelf.audit|org.onap.aai.babel.service.GenerateArtifactsServiceImpl#generateArtifacts|BABEL0002I [{"name":"AAI-Demo_pNF_e2rOqsBY42fFviWYolet-service-1.0.xml","type":"MODEL","payload":"\n 85d43b87-9144-44c0-bf49-73a06f9fef30 \n service \n Network L1-3 \n \n \n f67b65c6-707f-4d0a-9730-38e0c56aac0c \n Demo_pNF_e2rOqsBY42fFviWYolet \n 1.0 \n catalog service description \n \n \n T \n unbounded \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n 858a2ba0-f98f-4ec3-8175-29bb8616e382 \n \n \n model.model-invariant-id \n ee8efc27-d64a-4d9e-9f9c-9cd2896ca084 \n \n \n \n \n \n \n \n model-ver \n \n model-ver.model-version-id \n 46b92144-923a-4d20-b85a-3cbd847668a9 \n \n \n model.model-invariant-id \n 82194af1-3c2c-485a-8f44-420e22a9eaa4 \n \n \n \n \n \n \n \n "},{"name":"AAI-pNF 3d6b06f4-187b-resource-1.0.xml","type":"MODEL","payload":"\n ee8efc27-d64a-4d9e-9f9c-9cd2896ca084 \n resource \n \n \n 858a2ba0-f98f-4ec3-8175-29bb8616e382 \n pNF 3d6b06f4-187b \n 1.0 \n vendor software product \n \n \n T \n unbounded \n \n \n model-ver \n \n model-ver.model-version-id \n e9f1fa7d-c839-418a-9601-03dc0d2ad687 \n \n \n model.model-invariant-id \n 862b25a1-262a-4961-bdaa-cdc55d69785a \n \n \n \n \n \n \n \n "}]
2022-10-06T17:31:18.065Z|[3dd7fcf6-a49d-4490-97ab-42a368cd3c25]|qtp1533672820-30|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=[[3dd7fcf6-a49d-4490-97ab-42a368cd3c25]], Content-Length=[98315], Content-Type=[application/json]}{"artifactVersion":"1.0","artifactName":"service-BasicCnf-csar.csar","csar":"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