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A variant of Spring's JdbcTemplate that uses Oracle Update Batching. If Spring's classic JdbcTemplate is used in combination with an Oracle DB, the `batchUpdate()` methods won't return the number of affected rows. Instead, these methods do always return an array containing -2 (`Statement#SUCCESS_NO_INFO`) in each element. In order to get the number of affected rows during a batch INSERT/UPDATE/DELETE, it is required to use [Oracle Update Batching](http://docs.oracle.com/cd/B28359_01/java.111/b31224/oraperf.htm#autoId2).

DynamicJasper (DJ) is an API that hides the complexity of Jasper Reports, it helps developers to save time when designing simple/medium complexity reports generating the layout of the report elements automatically. It creates reports dynamically, defining at runtime the columns, column width (auto width), groups, variables, fonts, charts, crosstabs, sub reports (that can also be dynamic), page size and everything else that you can define at design time. DJ keeps full compatibility with Jasper Reports since it's a tool that helps create reports programmatically in a easy way (it only interferes with the creation of the report design doing the layout of the elements). You can use the classic .jrxml files as templates while the content and layout of the report elements are handled by the DJ API. http://dynamicjasper.com

A tool for data backup and consistency. Architecture and technologies: + the classic three-tier architecture is used: Model, DAO, Presentation; + [Spring 6 / Spring Boot 3](https://spring.io/) is the reference framework; + [SQLite](https://sqlite.org/) is the underlying database; + [Spring Data JPA](https://docs.spring.io/spring-data/jpa/docs/current/reference/html/) with [Hibernate](https://hibernate.org/) is used as ORM; + JPA entities are separated objects; + `Finder` and DCI roles from [TheseFoolishThings](http://tidalwave.it/projects/thesefoolishthings) are used; + [SLF4J](https://slf4j.org) and [Logback](https://logback.qos.ch) are used for logging; + [TestNG](https://testng.org) and [Mockito](https://site.mockito.org/) are used for testing; + [Lombok](https://projectlombok.org) is used for cleaner code.

The Brown-UMBC Reinforcement Learning and Planning (BURLAP) Java code library is for the use and development of single or multi-agent planning and learning algorithms and domains to accompany them. The library uses a highly flexible state/observation representation where you define states with your own Java classes, enabling support for domains that discrete, continuous, relational, or anything else. Planning and learning algorithms range from classic forward search planning to value-function-based stochastic planning and learning algorithms.