These files are containing the class picocli.CommandLine

Pax Logging backend implementation based on Apache Log4J2. It provides Log4J2 specific implementation of PaxLoggingService interface and Log4J2 specific configuration methods. Users may customize Log4J2 behaviour (appenders, layouts) by creating fragment attached to this bundle.

Pax Logging Service is a Log4J driven service that supports Jakarta Commons Logging, Log4J, Avalon Logging, SLF4J and Pax Logging clients. Note that all this clients must use the Pax Logging Client library in the proper way. See documentation for details.

Pax Logging backend implementation based on Apache Log4J2. It provides Log4J2 specific implementation of PaxLoggingService interface and Log4J2 specific configuration methods. Users may customize Log4J2 behaviour (appenders, layouts) by creating fragment attached to this bundle.

Pax Logging backend implementation based on Apache Log4J2. It provides Log4J2 specific implementation of PaxLoggingService interface and Log4J2 specific configuration methods. Users may customize Log4J2 behaviour (appenders, layouts) by creating fragment attached to this bundle.

Pax Logging backend implementation based on Apache Log4J2. It provides Log4J2 specific implementation of PaxLoggingService interface and Log4J2 specific configuration methods. Users may customize Log4J2 behaviour (appenders, layouts) by creating fragment attached to this bundle.

This is a handy tool many developers already use to create better interaction models for their custom Alexa skills. The tool introduces an easy to read grammar for generating hundreds and thousands of variant sample utterances and slot values with just a few written lines. The resulting JSON file can be used to upload the model to your Alexa skill right away either via your web browser into Alexa skill builder interface or with help of SMAPI.

Log configuration example code

Log configuration example code

Log configuration example code

Log configuration example code