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Spring LDAP is a Java library for simplifying LDAP operations, based on the pattern of Spring's JdbcTemplate. The framework relieves the user of common chores, such as looking up and closing contexts, looping through results, encoding/decoding values and filters, and more. The LdapTemplate class encapsulates all the plumbing work involved in traditional LDAP programming, such as creating a DirContext, looping through NamingEnumerations, handling exceptions and cleaning up resources. This leaves the programmer to handle the important stuff - where to find data (DNs and Filters) and what do do with it (map to and from domain objects, bind, modify, unbind, etc.), in the same way that JdbcTemplate relieves the programmer of all but the actual SQL and how the data maps to the domain model. In addition to this, Spring LDAP provides transaction support, a pooling library, exception translation from NamingExceptions to a mirrored unchecked Exception hierarchy, as well as several utilities for working with filters, LDAP paths and Attributes.

Java Prolog Interface (JPI) is an Application Provider Interface (API) for interaction between Java and Prolog programming languages. Is a bidirectional interface that communicate Java applications with Prolog program or database and Prolog procedures with Java class and methods. JPI is an abstraction layer over concrete prolog drivers over Prolog Engines. This API define all mechanism to interact with any Prolog Engine and maintain the application independent to a specific underlying engine. JPI have several connectors to open source prolog engines like SWI, YAP, XSB native engines and tuProlog, jTrolog, jLog Java based prolog engines. JPI study all related Java-Prolog integration libraries and take the betters features from each solution with the propose to achieve a common integration interface. The last feature allows switch the under laying Prolog Engine driver and the application code still be the same. JPI run over any Java Virtual Machine that support Java SE 5 or above. The project was tested over HotSpot, Open J9 and JRockit Virtual Machines over Operating Systems like Windows (7,8,10), Linux (Debian, Ubuntu) and Mac OS X. Can be deployed on Servlets Containers like Jetty, Tomcat or Glassfish Application Server. JPI can be include in any Java Project using the commonest Java Integration Development Enviroment (IDE) like Eclipse, Netbeans, IntelijIDEA and so on. JPI is developed and maintained by Prolobjectlink Project an open source initiative for build logic based applications using Prolog like fundamental Logic Programming Language in the persistence layer and application programming.

Show color codes preview per line in a sidebar area of an editor. <h2>Disable / Enable</h2> Check/Uncheck View > Show Colors <h2>Supported color patterns</h2> <ul> <li>Hex color code (e.g. #ffffff, #000)</li> <li>Css rgb/rgba values (e.g. rgb(0,0,0), rgba(255, 255, 255, 0.8))</li> <li>Css hsl/hsla values (e.g. hsl(0, 100%, 50%), hsla(120, 100%, 50%, 0.5))</li> <li>Named colors (e.g. red, blue)</li> <li>Java Color class (e.g. Color.black, new Color(100, 100, 100))</li> </ul> <h2>Multiple colors</h2> <ul> <li>Show top two colors in a sidebar if there are multiple colors in a line.</li> <li>If you want to check all colors, please click a specific rectangle. They will be shown as a list.</li> </ul> <h2>Change a color using the color chooser</h2> <ul> <li>Click a colored rectangle</li> <li>Click a color value of a list</li> <li>Select a new color in the color chooser</li> <li>An old color value will be changed to new one with the same format</li> </ul> <h2>Generate color codes</h2><p>You can generate color codes via a code generator(<kbd>Alt</kbd> + <kbd>Ins</kbd>).</p> <ol> <li>Run a code generator(Alt + Ins)</li> <li>Choose <code>Color...</code></li> <li>Choose format you expect (e.g. <code>new Color(r, g, b)</code>)</li> <li>Choose a color</li> <li>Click the OK button</li> <li>A color code is generated at the caret position</li> </ol> <h2>Options</h2> Tools > Options > Miscellaneous > Color Codes Preview <h3>Regex for enabled mime-types for Hex and CSS colors</h3> Default value is `^text/(x-)?(css|less|sass|scss)$`. If you would like to disable/enable some mime-types, please change the default regex. This pattern is used when the plugin checks a mime-type. <h3>Named Colors</h3> This option is `false` by default. If you would like to show named colors, please check it. <h2>NOTE</h2> <ul> <li>If you would like to show colors of `Color.decode(<hex>)` e.g. `Color.decode(#000000)`, Please add `java` to "Regex for enabled mime-types" of Hex and CSS e.g. (`^text/(x-)?(css|less|sass|scss|java)$`)</li> <li>Colors may be shown if they are not color codes. e.g. "#feature" contains #fea. This plugin recognizes it as a hex color code.</li> <li>If you use the GTK Look and Feel, you cannot change an alpha value in the color chooser.</li> <li>Hsl or hsla color values may not be changed correctly when you use the color chooser. (There may be 1% errors.)</li> </ul>

Rouplex-Niossl is a java SPI (service provider interface) for secure (SSL/TLS), selectable, socket channels. Some of the classes in the java.nio.channels package have been extended by secure counterparts that can be used side by side, or replace existing instances of the plain implementations. This package contains just the entry point calls for instantiating such instances, as well as a non-functional, default implementation. For a concrete implementation of these classes you can take a look at Rouplex-Niossl-Spi, which would be included as a separate dependency to your applications. More specifically this library defines SSLSocketChannel class to inherit from SocketChannel, SSLServerSocketChannel to inherit from ServerSocketChannel and SSLSelector to inherit from SSLSelector. One or more instances of SSLSocketChannel can be registered with an (or more) instance of SSLSelector to be selected upon, with the same exact semantics a SocketChannel would expect from registering with a Selector. Further, a mixture of SocketChannels and SSLSocketChannels can be registered simultaneously with an SSLSelector. The secure counterparts abide to the same API and semantics defined for plain channels at https://docs.oracle.com/javase/8/docs/api/java/nio/channels/package-summary.html. This way, the existing products can be easily updated to provide secure communication and new products can achieve security of data in transit by using the already proven and excellent patterns for communication such as nio.

Rouplex-Niossl is a java SPI (service provider interface) for secure (SSL/TLS), selectable, socket channels. Some of the classes in the java.nio.channels package have been extended by secure counterparts that can be used side by side, or replace existing instances of the plain implementations. This package contains just the entry point calls for instantiating such instances, as well as a non-functional, default implementation. For a concrete implementation of these classes you can take a look at Rouplex-Niossl-Spi, which would be included as a separate dependency to your applications. More specifically this library defines SSLSocketChannel class to inherit from SocketChannel, SSLServerSocketChannel to inherit from ServerSocketChannel and SSLSelector to inherit from SSLSelector. One or more instances of SSLSocketChannel can be registered with an (or more) instance of SSLSelector to be selected upon, with the same exact semantics a SocketChannel would expect from registering with a Selector. Further, a mixture of SocketChannels and SSLSocketChannels can be registered simultaneously with an SSLSelector. The secure counterparts abide to the same API and semantics defined for plain channels at https://docs.oracle.com/javase/8/docs/api/java/nio/channels/package-summary.html. This way, the existing products can be easily updated to provide secure communication and new products can achieve security of data in transit by using the already proven and excellent patterns for communication such as nio.

This project aims to offer an easy-to-extend Java DAS server framework. It offers several advantages: * Implementing data sources is very easy but also flexible and powerful. * Data caching is built into the system, with access to the caching mechanism made available to the data sources. * All aspects of the server are highly configurable, including selecting options where the DAS 1.53 specification offers choices to the implementor. * The latest Java technologies have been used throughout the system to optimise performance and simplify data source development. * Wherever possible the same terminology is used in the API as in the DAS specification and XML - again, making data source development more easy. * The server allows XSLT transforms of the DAS XML to be configured to provide a simple DAS client view (limited to the single DAS source). More details of the DAS protocol, DAS servers and DAS clients can be found at http://www.biodas.org/wiki/Main_Page. The first version of this server is a complete implementation of Distributed Sequence Annotation System (DAS) Version 1.53. If you are interested in learning more about DAS 1.53, the specification is highly recommended as a concise and complete description of the DAS protocol that can be obtained from: http://biodas.org/documents/spec.html

Chips-n-Salsa is a Java library of customizable, hybridizable, iterative, parallel, stochastic, and self-adaptive local search algorithms. The library includes implementations of several stochastic local search algorithms, including simulated annealing, hill climbers, as well as constructive search algorithms such as stochastic sampling. Chips-n-Salsa now also includes genetic algorithms as well as evolutionary algorithms more generally. The library very extensively supports simulated annealing. It includes several classes for representing solutions to a variety of optimization problems. For example, the library includes a BitVector class that implements vectors of bits, as well as classes for representing solutions to problems where we are searching for an optimal vector of integers or reals. For each of the built-in representations, the library provides the most common mutation operators for generating random neighbors of candidate solutions, as well as common crossover operators for use with evolutionary algorithms. Additionally, the library provides extensive support for permutation optimization problems, including implementations of many different mutation operators for permutations, and utilizing the efficiently implemented Permutation class of the JavaPermutationTools (JPT) library. Chips-n-Salsa is customizable, making extensive use of Java's generic types, enabling using the library to optimize other types of representations beyond what is provided in the library. It is hybridizable, providing support for integrating multiple forms of local search (e.g., using a hill climber on a solution generated by simulated annealing), creating hybrid mutation operators (e.g., local search using multiple mutation operators), as well as support for running more than one type of search for the same problem concurrently using multiple threads as a form of algorithm portfolio. Chips-n-Salsa is iterative, with support for multistart metaheuristics, including implementations of several restart schedules for varying the run lengths across the restarts. It also supports parallel execution of multiple instances of the same, or different, stochastic local search algorithms for an instance of a problem to accelerate the search process. The library supports self-adaptive search in a variety of ways, such as including implementations of adaptive annealing schedules for simulated annealing, such as the Modified Lam schedule, implementations of the simpler annealing schedules but which self-tune the initial temperature and other parameters, and restart schedules that adapt to run length.

# Pact Junit 5 Extension ## Overview For writing Pact verification tests with JUnit 5, there is an JUnit 5 Invocation Context Provider that you can use with the `@TestTemplate` annotation. This will generate a test for each interaction found for the pact files for the provider. To use it, add the `@Provider` and one of the pact source annotations to your test class (as per a JUnit 4 test), then add a method annotated with `@TestTemplate` and `@ExtendWith(PactVerificationInvocationContextProvider.class)` that takes a `PactVerificationContext` parameter. You will need to call `verifyInteraction()` on the context parameter in your test template method. For example: ```java @Provider(&quot;myAwesomeService&quot;) @PactFolder(&quot;pacts&quot;) public class ContractVerificationTest { @TestTemplate @ExtendWith(PactVerificationInvocationContextProvider.class) void pactVerificationTestTemplate(PactVerificationContext context) { context.verifyInteraction(); } } ``` For details on the provider and pact source annotations, refer to the [Pact junit runner](../pact-jvm-provider-junit/README.md) docs. ## Test target You can set the test target (the object that defines the target of the test, which should point to your provider) on the `PactVerificationContext`, but you need to do this in a before test method (annotated with `@BeforeEach`). There are three different test targets you can use: `HttpTestTarget`, `HttpsTestTarget` and `AmpqTestTarget`. For example: ```java @BeforeEach void before(PactVerificationContext context) { context.setTarget(HttpTestTarget.fromUrl(new URL(myProviderUrl))); // or something like // context.setTarget(new HttpTestTarget(&quot;localhost&quot;, myProviderPort, &quot;/&quot;)); } ``` ## Provider State Methods Provider State Methods work in the same way as with JUnit 4 tests, refer to the [Pact junit runner](../pact-jvm-provider-junit/README.md) docs. ## Modifying the requests before they are sent **Important Note:** You should only use this feature for things that can not be persisted in the pact file. By modifying the request, you are potentially modifying the contract from the consumer tests! Sometimes you may need to add things to the requests that can&apos;t be persisted in a pact file. Examples of these would be authentication tokens, which have a small life span. The Http and Https test targets support injecting the request that will executed into the test template method. You can then add things to the request before calling the `verifyInteraction()` method. For example to add a header: ```java @TestTemplate @ExtendWith(PactVerificationInvocationContextProvider.class) void testTemplate(PactVerificationContext context, HttpRequest request) { // This will add a header to the request request.addHeader(&quot;X-Auth-Token&quot;, &quot;1234&quot;); context.verifyInteraction(); } ``` ## Objects that can be injected into the test methods You can inject the following objects into your test methods (just like the `PactVerificationContext`). They will be null if injected before the supported phase. | Object | Can be injected from phase | Description | | ------ | --------------- | ----------- | | PactVerificationContext | @BeforeEach | The context to use to execute the interaction test | | Pact | any | The Pact model for the test | | Interaction | any | The Interaction model for the test | | HttpRequest | @TestTemplate | The request that is going to be executed (only for HTTP and HTTPS targets) | | ProviderVerifier | @TestTemplate | The verifier instance that is used to verify the interaction |

pact-jvm-consumer-junit5 ======================== JUnit 5 support for Pact consumer tests ## Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer-junit5_2.12` * version-id = `3.5.x` ## Usage ### 1. Add the Pact consumer test extension to the test class. To write Pact consumer tests with JUnit 5, you need to add `@ExtendWith(PactConsumerTestExt)` to your test class. This replaces the `PactRunner` used for JUnit 4 tests. The rest of the test follows a similar pattern as for JUnit 4 tests. ```java @ExtendWith(PactConsumerTestExt.class) class ExampleJavaConsumerPactTest { ``` ### 2. create a method annotated with `@Pact` that returns the interactions for the test For each test (as with JUnit 4), you need to define a method annotated with the `@Pact` annotation that returns the interactions for the test. ```java @Pact(provider=&quot;test_provider&quot;, consumer=&quot;test_consumer&quot;) public RequestResponsePact createPact(PactDslWithProvider builder) { return builder .given(&quot;test state&quot;) .uponReceiving(&quot;ExampleJavaConsumerPactTest test interaction&quot;) .path(&quot;/&quot;) .method(&quot;GET&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;responsetest\&quot;: true}&quot;) .toPact(); } ``` ### 3. Link the mock server with the interactions for the test with `@PactTestFor` Then the final step is to use the `@PactTestFor` annotation to tell the Pact extension how to setup the Pact test. You can either put this annotation on the test class, or on the test method. For examples see [ArticlesTest](src/test/java/au/com/dius/pact/consumer/junit5/ArticlesTest.java) and [MultiTest](src/test/groovy/au/com/dius/pact/consumer/junit5/MultiTest.groovy). The `@PactTestFor` annotation allows you to control the mock server in the same way as the JUnit 4 `PactProviderRule`. It allows you to set the hostname to bind to (default is `localhost`) and the port (default is to use a random port). You can also set the Pact specification version to use (default is V3). ```java @ExtendWith(PactConsumerTestExt.class) @PactTestFor(providerName = &quot;ArticlesProvider&quot;, port = &quot;1234&quot;) public class ExampleJavaConsumerPactTest { ``` **NOTE on the hostname**: The mock server runs in the same JVM as the test, so the only valid values for hostname are: | hostname | result | | -------- | ------ | | `localhost` | binds to the address that localhost points to (normally the loopback adapter) | | `127.0.0.1` or `::1` | binds to the loopback adapter | | host name | binds to the default interface that the host machines DNS name resolves to | | `0.0.0.0` or `::` | binds to the all interfaces on the host machine | #### Matching the interactions by provider name If you set the `providerName` on the `@PactTestFor` annotation, then the first method with a `@Pact` annotation with the same provider name will be used. See [ArticlesTest](src/test/java/au/com/dius/pact/consumer/junit5/ArticlesTest.java) for an example. #### Matching the interactions by method name If you set the `pactMethod` on the `@PactTestFor` annotation, then the method with the provided name will be used (it still needs a `@Pact` annotation). See [MultiTest](src/test/groovy/au/com/dius/pact/consumer/junit5/MultiTest.groovy) for an example. ### Injecting the mock server into the test You can get the mock server injected into the test method by adding a `MockServer` parameter to the test method. ```java @Test void test(MockServer mockServer) { HttpResponse httpResponse = Request.Get(mockServer.getUrl() + &quot;/articles.json&quot;).execute().returnResponse(); assertThat(httpResponse.getStatusLine().getStatusCode(), is(equalTo(200))); } ``` This helps with getting the base URL of the mock server, especially when a random port is used. ## Unsupported The current implementation does not support tests with multiple providers. This will be added in a later release.

pact-jvm-consumer-groovy-v3 =========================== Groovy DSL for Pact JVM implementing V3 specification changes. ##Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer-groovy-v3_2.11` * version-id = `2.2.x` or `3.0.x` ##Usage Add the `pact-jvm-consumer-groovy-v3` library to your test class path. This provides a `PactMessageBuilder` class for you to use to define your pacts. If you are using gradle for your build, add it to your `build.gradle`: dependencies { testCompile 'au.com.dius:pact-jvm-consumer-groovy-v3_2.11:2.2.12' } ## Consumer test for a message consumer The `PactMessageBuilder` class provides a DSL for defining your message expectations. It works in much the same way as the `PactBuilder` class for Request-Response interactions. ### Step 1 - define the message expectations Create a test that uses the `PactMessageBuilder` to define a message expectation, and then call `run`. This will invoke the given closure with a message for each one defined in the pact. ```groovy def eventStream = new PactMessageBuilder().call { serviceConsumer 'messageConsumer' hasPactWith 'messageProducer' given 'order with id 10000004 exists' expectsToReceive 'an order confirmation message' withMetaData(type: 'OrderConfirmed') // Can define any key-value pairs here withContent(contentType: 'application/json') { type 'OrderConfirmed' audit { userCode 'messageService' } origin 'message-service' referenceId '10000004-2' timeSent: '2015-07-22T10:14:28+00:00' value { orderId '10000004' value '10.000000' fee '10.00' gst '15.00' } } } ``` ### Step 2 - call your message handler with the generated messages This example tests a message handler that gets messages from a Kafka topic. In this case the Pact message is wrapped as a Kafka `MessageAndMetadata`. ```groovy eventStream.run { Message message -> messageHandler.handleMessage(new MessageAndMetadata('topic', 1, new kafka.message.Message(message.contentsAsBytes()), 0, null, valueDecoder)) } ``` ### Step 3 - validate that the message was handled correctly ```groovy def order = orderRepository.getOrder('10000004') assert order.status == 'confirmed' assert order.value == 10.0 ``` ### Step 4 - Publish the pact file If the test was successful, a pact file would have been produced with the message from step 1.