Download JAR files tagged by errors with all dependencies

The Checker Framework enhances Java's type system to make it more powerful and useful. This lets software developers detect and prevent errors in their Java programs. The Checker Framework includes compiler plug-ins ("checkers") that find bugs or verify their absence. It also permits you to write your own compiler plug-ins.

High performance Cloud Pub/Sub client library. (NOTE) This release includes only data plane operations, publishing and pulling messages, and it is based on our gRPC beta release. (ALPHA) This library uses features that are part of an invitation-only release of the underlying Cloud Pub/Sub API. The library will generate errors unless you have access to this API. This restriction should be relaxed in the near future. Please contact [email protected] with any questions in the meantime.

Lets developers make their applications more resilient by adding robust transient fault handling logic. Transient faults are errors that occur because of some temporary condition such as network connectivity issues or service unavailability. Typically, if you retry the operation that resulted in a transient error a short time later, you find that the error has disappeared.

Never liked hard-coding your property keys? The maven-properties-enum-plugin allows you to generate enum types, holding all valid keys including javadoc. Your advantages: * You can't access on non-existing keys as it would cause compile errors * As it's an enum, you can use your IDE's auto-completion * You'll never have to check your properties keys again * You can see the property's value in the enum field's javadoc

Never liked hard-coding your property keys? The maven-properties-enum-plugin allows you to generate enum types, holding all valid keys including javadoc. Your advantages: * You can't access on non-existing keys as it would cause compile errors * As it's an enum, you can use your IDE's auto-completion * You'll never have to check your properties keys again * You can see the property's value in the enum field's javadoc

This class implements a single conjunctive rule learner that can predict for numeric and nominal class labels. A rule consists of antecedents "AND"ed together and the consequent (class value) for the classification/regression. In this case, the consequent is the distribution of the available classes (or mean for a numeric value) in the dataset. If the test instance is not covered by this rule, then it's predicted using the default class distributions/value of the data not covered by the rule in the training data.This learner selects an antecedent by computing the Information Gain of each antecendent and prunes the generated rule using Reduced Error Prunning (REP) or simple pre-pruning based on the number of antecedents. For classification, the Information of one antecedent is the weighted average of the entropies of both the data covered and not covered by the rule. For regression, the Information is the weighted average of the mean-squared errors of both the data covered and not covered by the rule. In pruning, weighted average of the accuracy rates on the pruning data is used for classification while the weighted average of the mean-squared errors on the pruning data is used for regression.

The goal of quality-check is to provide a small Java library for basic runtime code quality checks. It provides similar features to org.springframework.util.Assert or com.google.common.base.Preconditions without the need to include big libraries or frameworks such as Spring or Guava. The package quality-check tries to replace these libraries and provide all the basic code quality checks you need. The checks provided here are typically used to validate method parameters and detect errors during runtime. To detect errors before runtime we use JSR-305 Annotations. With these annotations you are able to detect possible bugs earlier. For more informations look at FindBugs™ JSR-305 support.

The goal of quality-check is to provide a small Java library for basic runtime code quality checks. It provides similar features to org.springframework.util.Assert or com.google.common.base.Preconditions without the need to include big libraries or frameworks such as Spring or Guava. The package quality-check tries to replace these libraries and provide all the basic code quality checks you need. The checks provided here are typically used to validate method parameters and detect errors during runtime. To detect errors before runtime we use JSR-305 Annotations. With these annotations you are able to detect possible bugs earlier. For more informations look at FindBugs™ JSR-305 support.