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benerator is a framework for creating realistic and valid high-volume test data, used for testing (unit/integration/load) and showcase setup. Metadata constraints are imported from systems and/or configuration files. Data can imported from and exported to files and systems, anonymized or generated from scratch. Domain packages provide reusable generators for creating domain-specific data as names and addresses internationalizable in language and region. It is strongly customizable with plugins and configuration options.

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# define you own sequences like this:
#random=com.my.RandomDoubleGenerator,com.my.RandomLongGenerator
#and put this file as org/databene/benerator/sequence.properties into the class path
random=org.databene.benerator.primitive.number.distribution.RandomDoubleGenerator,org.databene.benerator.primitive.number.distribution.RandomLongGenerator
shuffle=org.databene.benerator.primitive.number.distribution.ShuffleDoubleGenerator,org.databene.benerator.primitive.number.distribution.ShuffleLongGenerator
cumulated=org.databene.benerator.primitive.number.distribution.CumulatedDoubleGenerator,org.databene.benerator.primitive.number.distribution.CumulatedLongGenerator
randomWalk=org.databene.benerator.primitive.number.distribution.RandomWalkDoubleGenerator,org.databene.benerator.primitive.number.distribution.RandomWalkLongGenerator
step=org.databene.benerator.primitive.number.distribution.StepDoubleGenerator,org.databene.benerator.primitive.number.distribution.StepLongGenerator
wedge=org.databene.benerator.primitive.number.distribution.WedgeLongGenerator
bitreverse=org.databene.benerator.primitive.number.distribution.BitReverseLongGenerator




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