Download JAR files tagged by 2015 with all dependencies

A collection of simple web components that wrap polymer elements; support is rather limited and optimized for the GWT.create 2015 presentation.

Adds support for loading configuration from multiple sources based on Mr Haki's http://mrhaki.blogspot.com/2015/11/ratpacked-externalized-application.html

Grows an alternating model tree by minimising squared error. For more information see "Eibe Frank, Michael Mayo, Stefan Kramer: Alternating Model Trees. In: Proceedings of the ACM Symposium on Applied Computing, Data Mining Track, 2015".

Implementation of 3NN K-Nearest Neighbor clustering as described in [1], to identify salient information as the 2-degenerate cores from a clustering graph containing information nodes that are linked to their 3-nearest neighbors, and qualifying sentences that outrank previously selected sentences using a relevance model of salient information seen over a recent time interval. [1] JBP Vuurens, AP de Vries, R Blanco, P Mika, "Online News Tracking for Ad-Hoc Information Needs", in ICTIR 2015.

This project contains a Java implementation of median relational generalized learning vector quantization as proposed by Nebel, Hammer, Frohberg, and Villmann (2015, doi:10.1016/j.neucom.2014.12.096). Given a matrix of pairwise distances D and a vector of labels Y it identifies prototypical data points (i.e. rows of D) which help to classify the data set using a simple nearest neighbor rule. In particular, the algorithm optimizes the generalized learning vector quantization cost function (Sato and Yamada, 1995) via an expectation maximization scheme where in each iteration one prototype 'jumps' to another data point in order to improve the cost function. If the cost function can not be improved anymore for any of the data points, the algorithm terminates.

Alpheus AFP Parser is a library and parser for the IBM Advanced Function Presentation (AFP) document/print stream format. Alpheus covers all AFP specifications: MO:DCA, BCOCA, CMOCA, FOCA, GOCA, IOCA, and PTOCA. It is a complete implementation. Every Structured Field, Repeating Group, and Triplet is fully implemented as Java class. Alpheus AFP Parser was written from scratch and has no external dependencies. Copyright 2015,2016 Rudolf Fiala Alpheus AFP Parser is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.

Provides the support for <a href="https://tagmycode.com">TagMyCode</a>. This plugin allows you to manage your own snippets.<br/> <br/> Features:<br/> * Add snippets: you can save your code snippets including description, language, and tags<br/> * List snippets (CRUD): snippets are stored locally and you can filter, sort, create, modify, edit or delete them directly from the IDE<br/> * Quick search: you can search your snippets and insert them directly into the document<br/> <br/> CHANGELOG:<br/> <br/> 2.3.0 (released 2020-07-26)<br/> * published plugin into Apache NetBeans Plugin Portal<br/> * filter snippets by languages<br/> <br/> 2.2.1 (released 2018-01-10)<br/> * Quick Search dialog is now resizable</br> * fixed syntax highlight for PHP and HTML</br> * if refresh token is not valid user will be automatically logged out</br> </br> 2.2.0 (released 2017-11-06)<br/> * snippets management works in offline mode<br/> * autodetect language on new snippet<br/> * added settings dialog with editor theme and font size option<br/> * added title and description to snippet view<br/> * changed open browser class<br/> * text can be dragged into table to create a new snippet<br/> * snippets can be dragged directly into editor and the code are copied<br/> * added "save as file" feature<br/> * added "clone snippet" feature<br/> * added "snippet properties" dialog<br/> * detect binary file<br/> <br/> 2.1.0 (released 2017-04-24)<br/> * moved error messages from dialog to Netbeans Notification Log<br/> * added welcome panel<br/> * about dialog shows plugin version and framework version<br/> * moved storage from JSON to SQL<br/> <br/> 2.0 (released 2016-07-11)<br/> * new user interface<br/> * list of snippets stored locally<br/> * syntax highlight powered by <a href="http://bobbylight.github.io/RSyntaxTextArea/">RSyntaxTextArea</a><br/> * snippets are synchronized with server<br/> * filter snippets<br/> * quick search feature<br/> * insert selected snippet at cursor in document<br/> <br/> 1.1.3 (released 2015-12-18)<br/> * Fix for NetBeans 8.1<br/> <br/> 1.1.2 (released 2014-10-03)<br/> * Switched authentication from OAuth 1.0a to OAuth 2<br/> * Console write also snippet title when new snippet is created (thanks to bejoy)<br/> <br/> 1.1 (released 2014-08-19)<br/> * Added "Search snippets" feature<br/> * Fixed some minor bugs<br/> <br/> 1.0 (released 2014-04-14)<br/> * First release with feature "Create snippet"<br/>

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.

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.

Pact consumer ============= Pact Consumer is used by projects that are consumers of an API. Most projects will want to use pact-consumer via one of the test framework specific projects. If your favourite framework is not implemented, this module should give you all the hooks you need. Provides a DSL for use with Java to build consumer pacts. ## Dependency The library is available on maven central using: * group-id = `au.com.dius` * artifact-id = `pact-jvm-consumer_2.11` ## DSL Usage Example in a JUnit test: ```java import au.com.dius.pact.model.MockProviderConfig; import au.com.dius.pact.model.PactFragment; import org.junit.Test; import java.io.IOException; import java.util.HashMap; import java.util.Map; import static org.junit.Assert.assertEquals; public class PactTest { @Test public void testPact() { PactFragment pactFragment = ConsumerPactBuilder .consumer(&quot;Some Consumer&quot;) .hasPactWith(&quot;Some Provider&quot;) .uponReceiving(&quot;a request to say Hello&quot;) .path(&quot;/hello&quot;) .method(&quot;POST&quot;) .body(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;hello\&quot;: \&quot;harry\&quot;}&quot;) .toFragment(); MockProviderConfig config = MockProviderConfig.createDefault(); VerificationResult result = pactFragment.runConsumer(config, new TestRun() { @Override public void run(MockProviderConfig config) { Map expectedResponse = new HashMap(); expectedResponse.put(&quot;hello&quot;, &quot;harry&quot;); try { assertEquals(new ProviderClient(config.url()).hello(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;), expectedResponse); } catch (IOException e) {} } }); if (result instanceof PactError) { throw new RuntimeException(((PactError)result).error()); } assertEquals(ConsumerPactTest.PACT_VERIFIED, result); } } ``` The DSL has the following pattern: ```java .consumer(&quot;Some Consumer&quot;) .hasPactWith(&quot;Some Provider&quot;) .given(&quot;a certain state on the provider&quot;) .uponReceiving(&quot;a request for something&quot;) .path(&quot;/hello&quot;) .method(&quot;POST&quot;) .body(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;hello\&quot;: \&quot;harry\&quot;}&quot;) .uponReceiving(&quot;another request for something&quot;) .path(&quot;/hello&quot;) .method(&quot;POST&quot;) .body(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;hello\&quot;: \&quot;harry\&quot;}&quot;) . . . .toFragment() ``` You can define as many interactions as required. Each interaction starts with `uponReceiving` followed by `willRespondWith`. The test state setup with `given` is a mechanism to describe what the state of the provider should be in before the provider is verified. It is only recorded in the consumer tests and used by the provider verification tasks. ### Building JSON bodies with PactDslJsonBody DSL The body method of the ConsumerPactBuilder can accept a PactDslJsonBody, which can construct a JSON body as well as define regex and type matchers. For example: ```java PactDslJsonBody body = new PactDslJsonBody() .stringType(&quot;name&quot;) .booleanType(&quot;happy&quot;) .hexValue(&quot;hexCode&quot;) .id() .ipAddress(&quot;localAddress&quot;) .numberValue(&quot;age&quot;, 100) .timestamp(); ``` #### DSL Matching methods The following matching methods are provided with the DSL. In most cases, they take an optional value parameter which will be used to generate example values (i.e. when returning a mock response). If no example value is given, a random one will be generated. | method | description | |--------|-------------| | string, stringValue | Match a string value (using string equality) | | number, numberValue | Match a number value (using Number.equals)\* | | booleanValue | Match a boolean value (using equality) | | stringType | Will match all Strings | | numberType | Will match all numbers\* | | integerType | Will match all numbers that are integers (both ints and longs)\* | | decimalType | Will match all real numbers (floating point and decimal)\* | | booleanType | Will match all boolean values (true and false) | | stringMatcher | Will match strings using the provided regular expression | | timestamp | Will match string containing timestamps. If a timestamp format is not given, will match an ISO timestamp format | | date | Will match string containing dates. If a date format is not given, will match an ISO date format | | time | Will match string containing times. If a time format is not given, will match an ISO time format | | ipAddress | Will match string containing IP4 formatted address. | | id | Will match all numbers by type | | hexValue | Will match all hexadecimal encoded strings | | uuid | Will match strings containing UUIDs | _\* Note:_ JSON only supports double precision floating point values. Depending on the language implementation, they may parsed as integer, floating point or decimal numbers. #### Ensuring all items in a list match an example (2.2.0+) Lots of the time you might not know the number of items that will be in a list, but you want to ensure that the list has a minimum or maximum size and that each item in the list matches a given example. You can do this with the `arrayLike`, `minArrayLike` and `maxArrayLike` functions. | function | description | |----------|-------------| | `eachLike` | Ensure that each item in the list matches the provided example | | `maxArrayLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max | | `minArrayLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min | For example: ```java DslPart body = new PactDslJsonBody() .minArrayLike(&quot;users&quot;) .id() .stringType(&quot;name&quot;) .closeObject() .closeArray(); ``` This will ensure that the users list is never empty and that each user has an identifier that is a number and a name that is a string. #### Matching JSON values at the root (Version 3.2.2/2.4.3+) For cases where you are expecting basic JSON values (strings, numbers, booleans and null) at the root level of the body and need to use matchers, you can use the `PactDslJsonRootValue` class. It has all the DSL matching methods for basic values that you can use. For example: ```java .consumer(&quot;Some Consumer&quot;) .hasPactWith(&quot;Some Provider&quot;) .uponReceiving(&quot;a request for a basic JSON value&quot;) .path(&quot;/hello&quot;) .willRespondWith() .status(200) .body(PactDslJsonRootValue.integerType()) ``` #### Root level arrays that match all items (version 2.2.11+) If the root of the body is an array, you can create PactDslJsonArray classes with the following methods: | function | description | |----------|-------------| | `arrayEachLike` | Ensure that each item in the list matches the provided example | | `arrayMinLike` | Ensure that each item in the list matches the provided example and the list is no bigger than the provided max | | `arrayMaxLike` | Ensure that each item in the list matches the provided example and the list is no smaller than the provided min | For example: ```java PactDslJsonArray.arrayEachLike() .date(&quot;clearedDate&quot;, &quot;mm/dd/yyyy&quot;, date) .stringType(&quot;status&quot;, &quot;STATUS&quot;) .decimalType(&quot;amount&quot;, 100.0) .closeObject() ``` This will then match a body like: ```json [ { &quot;clearedDate&quot; : &quot;07/22/2015&quot;, &quot;status&quot; : &quot;C&quot;, &quot;amount&quot; : 15.0 }, { &quot;clearedDate&quot; : &quot;07/22/2015&quot;, &quot;status&quot; : &quot;C&quot;, &quot;amount&quot; : 15.0 }, { &quot;clearedDate&quot; : &quot;07/22/2015&quot;, &quot;status&quot; : &quot;C&quot;, &quot;amount&quot; : 15.0 } ] ``` #### Matching arrays of arrays (version 3.2.12/2.4.14+) For the case where you have arrays of arrays (GeoJSON is an example), the following methods have been provided: | function | description | |----------|-------------| | `eachArrayLike` | Ensure that each item in the array is an array that matches the provided example | | `eachArrayWithMaxLike` | Ensure that each item in the array is an array that matches the provided example and the array is no bigger than the provided max | | `eachArrayWithMinLike` | Ensure that each item in the array is an array that matches the provided example and the array is no smaller than the provided min | For example (with GeoJSON structure): ```java new PactDslJsonBody() .stringType(&quot;type&quot;,&quot;FeatureCollection&quot;) .eachLike(&quot;features&quot;) .stringType(&quot;type&quot;,&quot;Feature&quot;) .object(&quot;geometry&quot;) .stringType(&quot;type&quot;,&quot;Point&quot;) .eachArrayLike(&quot;coordinates&quot;) // coordinates is an array of arrays .decimalType(-7.55717) .decimalType(49.766896) .closeArray() .closeArray() .closeObject() .object(&quot;properties&quot;) .stringType(&quot;prop0&quot;,&quot;value0&quot;) .closeObject() .closeObject() .closeArray() ``` This generated the following JSON: ```json { &quot;features&quot;: [ { &quot;geometry&quot;: { &quot;coordinates&quot;: [[-7.55717, 49.766896]], &quot;type&quot;: &quot;Point&quot; }, &quot;type&quot;: &quot;Feature&quot;, &quot;properties&quot;: { &quot;prop0&quot;: &quot;value0&quot; } } ], &quot;type&quot;: &quot;FeatureCollection&quot; } ``` and will be able to match all coordinates regardless of the number of coordinates. #### Matching any key in a map (3.3.1/2.5.0+) The DSL has been extended for cases where the keys in a map are IDs. For an example of this, see [#313](https://github.com/DiUS/pact-jvm/issues/131). In this case you can use the `eachKeyLike` method, which takes an example key as a parameter. For example: ```java DslPart body = new PactDslJsonBody() .object(&quot;one&quot;) .eachKeyLike(&quot;001&quot;, PactDslJsonRootValue.id(12345L)) // key like an id mapped to a matcher .closeObject() .object(&quot;two&quot;) .eachKeyLike(&quot;001-A&quot;) // key like an id where the value is matched by the following example .stringType(&quot;description&quot;, &quot;Some Description&quot;) .closeObject() .closeObject() .object(&quot;three&quot;) .eachKeyMappedToAnArrayLike(&quot;001&quot;) // key like an id mapped to an array where each item is matched by the following example .id(&quot;someId&quot;, 23456L) .closeObject() .closeArray() .closeObject(); ``` For an example, have a look at [WildcardKeysTest](src/test/java/au/com/dius/pact/consumer/WildcardKeysTest.java). **NOTE:** The `eachKeyLike` method adds a `*` to the matching path, so the matching definition will be applied to all keys of the map if there is not a more specific matcher defined for a particular key. Having more than one `eachKeyLike` condition applied to a map will result in only one being applied when the pact is verified (probably the last). ### Matching on paths (version 2.1.5+) You can use regular expressions to match incoming requests. The DSL has a `matchPath` method for this. You can provide a real path as a second value to use when generating requests, and if you leave it out it will generate a random one from the regular expression. For example: ```java .given(&quot;test state&quot;) .uponReceiving(&quot;a test interaction&quot;) .matchPath(&quot;/transaction/[0-9]+&quot;) // or .matchPath(&quot;/transaction/[0-9]+&quot;, &quot;/transaction/1234567890&quot;) .method(&quot;POST&quot;) .body(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;hello\&quot;: \&quot;harry\&quot;}&quot;) ``` ### Matching on headers (version 2.2.2+) You can use regular expressions to match request and response headers. The DSL has a `matchHeader` method for this. You can provide an example header value to use when generating requests and responses, and if you leave it out it will generate a random one from the regular expression. For example: ```java .given(&quot;test state&quot;) .uponReceiving(&quot;a test interaction&quot;) .path(&quot;/hello&quot;) .method(&quot;POST&quot;) .matchHeader(&quot;testreqheader&quot;, &quot;test.*value&quot;) .body(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;hello\&quot;: \&quot;harry\&quot;}&quot;) .matchHeader(&quot;Location&quot;, &quot;.*/hello/[0-9]+&quot;, &quot;/hello/1234&quot;) ``` ### Matching on query parameters (version 3.3.7+) You can use regular expressions to match request query parameters. The DSL has a `matchQuery` method for this. You can provide an example value to use when generating requests, and if you leave it out it will generate a random one from the regular expression. For example: ```java .given(&quot;test state&quot;) .uponReceiving(&quot;a test interaction&quot;) .path(&quot;/hello&quot;) .method(&quot;POST&quot;) .matchQuery(&quot;a&quot;, &quot;\\d+&quot;, &quot;100&quot;) .matchQuery(&quot;b&quot;, &quot;[A-Z]&quot;, &quot;X&quot;) .body(&quot;{\&quot;name\&quot;: \&quot;harry\&quot;}&quot;) .willRespondWith() .status(200) .body(&quot;{\&quot;hello\&quot;: \&quot;harry\&quot;}&quot;) ```