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DICTIONARY-BASED COMPOUND SPLITTER FOR GERMAN BananaSplit is a compound splitter for German that uses a dictionary resource. The dictionary can be either a simple word list, or a word list equipped with POS values, or an XML based dictionary. The original version was able to use GermaNet as a dictionary. This is useful in applications that rely on GermaNet anyway: no additional lexicon needs to be generated and held in memory. This was also the original purpose of BananaSplit. It served as a compound splitter for a tool called BananaRelation. BananaRelation cannot be published here as it makes heavy use of unpublished code by EML Research, Heidelberg. BananaSplit can either be used as a standalone application or it can be integrated into other Java programs (as a library). This program emerged from the seminar Lexical Semantic Processing in NLP (winter term 2005/2006) taught by Iryna Gurevych at the Seminar für Sprachwissenschaft, Tübingen. Both BananaSplit and BananaRelation were introduced to the seminar participants on 17th of December, 2005. The key algorithm for compound splitting is based on Langer (1998). The program came to use in Müller and Gurevych (2006). Please note that the program splits compounds into two parts only. Details are given in the documents linked below.

This project aims to build a command line tool that can create HTML view with syntax highlighted source code. It uses Jedit syntax highlighting engine and support all languages that are supported in JEdit. Which are currently: ActionScript, Ada 95, ANTLR, Apache HTTPD, APDL, AppleScript, ASP, Aspect-J, Assembly, AWK, B formal method, Batch, BBj, BCEL, BibTeX, C, C++, C#, CHILL, CIL, COBOL, ColdFusion, CSS, CVS Commit, D, DOxygen, DSSSL, Eiffel, EmbPerl, Erlang, Factor, Fortran, Foxpro, FreeMarker, Fortran, Gettext, Groovy, Haskell, HTML, Icon, IDL, Inform, INI, Inno Setup, Informix 4GL, Interlis, Io, Java, JavaScript, JCL, JHTML, JMK, JSP, Latex, Lilypond, Lisp, LOTOS, Lua, Makefile, Maple, ML, Modula-3, MoinMoin, MQSC, NetRexx, NQC, NSIS2, Objective C, ObjectRexx, Occam, Omnimark, Parrot, Pascal, Patch, Perl, PHP, Pike, PL-SQL, PL/I, Pop11, PostScript, Povray, PowerDynamo, Progress 4GL, Prolog, Properties, PSP, PV-WAVE, Pyrex, Python, REBOL, Redcode, Relax-NG, RelationalView, Rest, Rib, RPM spec, RTF, Ruby, Ruby-HTML, RView, S+, S#, SAS, Scheme, SDL/PL, SGML, Shell Script, SHTML, Smalltalk, SMI MIB, SQR, Squidconf, SVN Commit, Swig, TCL, TeX, Texinfo, TPL, Transact-SQL, UnrealScript, VBScript, Velocity, Verilog, VHDL, XML, XSL, ZPT

The Source Analyst library is a powerful tool designed to streamline and expedite the tracking of traffic sources for mobile applications. This versatile library is aptly named "Source Analyst" and is an invaluable asset for app developers and marketers seeking to gain deeper insights into the performance of their advertising campaigns. With just one simple function call, Source Analyst empowers you to efficiently investigate the effectiveness of various advertising sources. Key Features: Effortless Tracking: Source Analyst simplifies the complex task of tracking the origins of traffic for your mobile app. No need for convoluted setups or extensive coding – one function is all it takes. Comprehensive Insights: Gain a comprehensive understanding of where your app's users are coming from. Whether it's through social media, search engines, referral links, or other channels, Source Analyst provides you with clear data on traffic sources. Performance Evaluation: Evaluate the performance of your advertising campaigns with precision. Discover which sources are driving the most valuable users to your app, helping you optimize your marketing efforts effectively. Time-Saving: Say goodbye to hours spent on manual data collection and analysis. Source Analyst automates the tracking process, freeing up your time to focus on making data-driven decisions. Customization: Tailor Source Analyst to your specific needs. Customize the library to track the metrics that matter most to your app's success. Real-time Data: Access real-time data, ensuring that you always have up-to-date insights into your traffic sources. Integration-Friendly: Seamlessly integrate Source Analyst into your existing mobile app infrastructure, whether you're developing for Android or iOS. User-Friendly: Source Analyst is designed with user-friendliness in mind. Its intuitive interface and straightforward documentation make it accessible to developers of all levels of expertise. How It Works: Using Source Analyst is as easy as calling a single function within your code. Simply integrate the library into your app, and you can begin tracking traffic sources immediately. From there, Source Analyst compiles and presents the data in a clear and organized manner, allowing you to make data-driven decisions with ease. In a world where understanding the origins of your app's traffic is essential for marketing success, Source Analyst is the go-to solution. Say goodbye to the complexity of tracking sources and embrace the simplicity and effectiveness of Source Analyst for your mobile app. Harness the power of Source Analyst and unlock a new level of insight into your app's performance today!

InfoScope Library: Simplifying Privacy Policy Display with WebView The InfoScope Library is a versatile tool designed to enhance the seamless presentation of privacy policies through WebView integration. Privacy policies play a crucial role in maintaining transparency and trust between users and applications, and the InfoScope Library streamlines this process by offering a range of convenient features. At its core, the library provides the SimpleAutoWebView, a WebView component equipped with fundamental settings for optimal privacy policy display. This WebView component is tailored to effortlessly load and present privacy policy content to users, ensuring a smooth and user-friendly experience. To further enhance the functionality and customization options, the InfoScope Library includes two essential components: SimpleAutoWebViewClient and SimpleAutoWebChromeClient. These components enable developers to quickly establish and configure the basic WebView behavior and appearance. The SimpleAutoWebViewClient is designed to facilitate the interaction between the WebView and the application. It streamlines the process of handling various events, such as page loading, error handling, and navigation. With this component, developers can swiftly create a WebViewClient that aligns with their application's requirements, promoting a consistent and intuitive user journey. Complementing the WebView functionality, the SimpleAutoWebChromeClient focuses on managing the visual aspects of WebView content, including alert dialogs, JavaScript dialogs, and UI interactions. This component empowers developers to define the behavior and appearance of these elements, ensuring a polished and integrated presentation of the privacy policy content. In summary, the InfoScope Library offers a comprehensive toolkit for developers to seamlessly integrate privacy policy display using WebView. By providing the SimpleAutoWebView, SimpleAutoWebViewClient, and SimpleAutoWebChromeClient components, the library enables swift development and easy customization, fostering transparency and trust between users and applications. Embrace the power of the InfoScope Library to elevate your privacy policy presentation and enhance your user experience.

Jsgen is a Java Source Generation Framework: That means, it should be a valuable tool, if you intend to write a custom generator for Java sources. As such, it is the successor of a previous framework, called JaxMeJS (http://jaxme.sourceforge.net/JaxMeJS/docs/index.html). The predecessor came into being as a standalone project. It was incorporated into the bigger JaxMe project, when the latter was adopted by the Apache Webservices project. And it was buried as part of the bigger project, when the latter was moved to the Apache Attic (http://svn.apache.org/repos/asf/webservices/archive/jaxme/). That was fine for quite some time, because the latest released version (JaxMeJS 0.5.2) did its job quite well. Over the years, however, the Java language has evolved, and the lack of support for features like Generics, or Annotations, became a burden. Hence the Successor: Jsgen picks up, where JaxMeJS ended. It is, however, a complete rewrite with several additional features, that the author considers to be important for modern Java applications: 1. It supports Generics. 2. It supports Annotations. 3. The builder pattern has been adopted. Almost all important classes are implemented as builders. This should make writing the actual source generators much more concise, and maintainable, than it used to be before. 4. The code style is configurable. Code styles allow you to concentrate on the actual work. The resulting Jave source will look nicely formatted, anyways. As of this writing, you can select between two builtin code styles: - The default code style is basically the authors personal free style, roughly comparable to the default code style of the Eclipse Java IDE. - As an alternative, there is also a Maven code style, which is widely used in the Open Source communities. Compared to the default style, it is less concise, if not even a bit verbose. On the other hand, it is widely adopted by projects in the vicinity of {{{https://maven.apache.org}Apache Maven}}. 5. Import lists are created, and sorted, automatically.

BEhavioural Agents Simple Testing Tool - BEAST Tool The aim of this project is the development of a system which allows Behavior Driven Development (BDD) in Multi-Agent Systems (MAS), to make testing practices more accessible and intuitive to everybody. In one hand, in order to let tests be writable by newcomers and experts alike, system must allow the redaction of tests in plain text, because client does not need to have knowledge of our code. This plain text will be traduced to software later. The definition of test will be realized with the terminology Given-When-Then, which allows trace an easy guide of the behavior of a given scenario when something happened. In the other hand, due to the complexity of MAS, making unit testing of an agent that needs the interaction with others is almost impossible until the whole system is finished. This implies to leave testing issues to the end of the project, generating big troubles in case of malfunction. Consequently, its necessary to carry out a tool to allow the creation of mock agents and to perform tests during the whole development process. Therefore another objective of our systems is to include a mocking tool which permits testing continuously. Definitively, our tool allows the testing of any MAS in the development process, increasing its modularity and decreasing its elaboration and testing cost. These tests will be written in plain text so that anyone would be able to understand them. For further reading, a paper published in ITMAS2012 workshop can be found in: http://scholar.google.es/citations?view_op=view_citation&hl=es&user=mT3KgXUAAAAJ&citation_for_view=mT3KgXUAAAAJ:Tyk-4Ss8FVUC

Introducing "PerScope" Library: Simplifying Privacy Policy Event Handling for Android Apps "PerScope" is a cutting-edge library designed to streamline the processing of privacy policy events within regions where compliance with local legislation is crucial. Specifically crafted for Android applications, this library addresses the intricate task of managing privacy policy-related events while adhering to the legal requirements of the country in which the app is deployed. In today's digital landscape, ensuring user privacy and data protection is of paramount importance. Different countries have varying legal frameworks dictating how user data should be handled, necessitating robust mechanisms to accommodate these differences seamlessly. This is where the "PerScope" library shines. The key feature that sets "PerScope" apart is its incredible simplicity. With just a single function call, developers can integrate the library into their Android applications and gain immediate access to a comprehensive suite of tools for managing privacy policy events. Whether it's presenting privacy-related notifications, tracking user consents, or adapting the app's behavior based on regional requirements, "PerScope" handles it all efficiently and effectively. Here's a glimpse of what "PerScope" brings to the table: Localized Compliance: "PerScope" empowers developers to align their apps with the privacy laws of each region. By intelligently detecting the user's location, the library ensures that the app's behavior remains compliant with the specific privacy regulations of that area. Event Handling Made Easy: Instead of grappling with complex event management code, developers can integrate the "PerScope" function, drastically reducing development time and effort. The library takes care of the intricate event handling process seamlessly. Dynamic Adaptation: With the ability to dynamically adapt the app's features based on the user's consent and the local legal requirements, "PerScope" ensures a personalized and compliant user experience. Notification Presentation: "PerScope" assists in presenting privacy-related notifications to users, making it easier to inform them about data collection practices and obtain necessary consents. Smooth Integration: The library is designed to be easily integrated into existing Android applications, minimizing disruptions to the development process. In a nutshell, "PerScope" is a developer's go-to solution for managing privacy policy events within Android apps. Its single-function approach, combined with its capacity to handle a complex and critical aspect of app development, makes it an indispensable tool for app creators aiming to provide a user-centric, privacy-respecting experience while complying with regional legislation. Stay on the right side of the law and prioritize user privacy with the power of "PerScope."

Pact provider ============= sub project of https://github.com/DiUS/pact-jvm The pact provider is responsible for verifying that an API provider adheres to a number of pacts authored by its clients This library provides the basic tools required to automate the process, and should be usable on its own in many instances. Framework and build tool specific bindings will be provided in separate libraries that build on top of this core functionality. ### Provider State Before each interaction is executed, the provider under test will have the opportunity to enter a state. Generally the state maps to a set of fixture data for mocking out services that the provider is a consumer of (they will have their own pacts) The pact framework will instruct the test server to enter that state by sending: POST "${config.stateChangeUrl.url}/setup" { "state" : "${interaction.stateName}" } ### An example of running provider verification with junit This example uses Groovy, JUnit 4 and Hamcrest matchers to run the provider verification. As the provider service is a DropWizard application, it uses the DropwizardAppRule to startup the service before running any test. **Warning:** It only grabs the first interaction from the pact file with the consumer, where there could be many. (This could possibly be solved with a parameterized test) ```groovy class ReadmeExamplePactJVMProviderJUnitTest { @ClassRule public static TestRule startServiceRule = new DropwizardAppRule<DropwizardConfiguration>( TestDropwizardApplication.class, ResourceHelpers.resourceFilePath("dropwizard/test-config.yaml")) private static ProviderInfo serviceProvider private static Pact<RequestResponseInteraction> testConsumerPact private static ConsumerInfo consumer @BeforeClass static void setupProvider() { serviceProvider = new ProviderInfo("Dropwizard App") serviceProvider.setProtocol("http") serviceProvider.setHost("localhost") serviceProvider.setPort(8080) serviceProvider.setPath("/") consumer = new ConsumerInfo() consumer.setName("test_consumer") consumer.setPactSource(new UrlSource( ReadmeExamplePactJVMProviderJUnitTest.getResource("/pacts/zoo_app-animal_service.json").toString())) testConsumerPact = PactReader.loadPact(consumer.getPactSource()) as Pact<RequestResponseInteraction> } @Test void runConsumerPacts() { // grab the first interaction from the pact with consumer Interaction interaction = testConsumerPact.interactions.get(0) // setup the verifier ProviderVerifier verifier = setupVerifier(interaction, serviceProvider, consumer) // setup any provider state // setup the client and interaction to fire against the provider ProviderClient client = new ProviderClient(serviceProvider, new HttpClientFactory()) Map<String, Object> failures = new HashMap<>() verifier.verifyResponseFromProvider(serviceProvider, interaction, interaction.getDescription(), failures, client) if (!failures.isEmpty()) { verifier.displayFailures(failures) } // Assert all good assertThat(failures, is(empty())) } private ProviderVerifier setupVerifier(Interaction interaction, ProviderInfo provider, ConsumerInfo consumer) { ProviderVerifier verifier = new ProviderVerifier() verifier.initialiseReporters(provider) verifier.reportVerificationForConsumer(consumer, provider) if (!interaction.getProviderStates().isEmpty()) { for (ProviderState providerState: interaction.getProviderStates()) { verifier.reportStateForInteraction(providerState.getName(), provider, consumer, true) } } verifier.reportInteractionDescription(interaction) return verifier } } ``` ### An example of running provider verification with spock This example uses groovy and spock to run the provider verification. Again the provider service is a DropWizard application, and is using the DropwizardAppRule to startup the service. This example runs all interactions using spocks Unroll feature ```groovy class ReadmeExamplePactJVMProviderSpockSpec extends Specification { @ClassRule @Shared TestRule startServiceRule = new DropwizardAppRule<DropwizardConfiguration>(TestDropwizardApplication, ResourceHelpers.resourceFilePath('dropwizard/test-config.yaml')) @Shared ProviderInfo serviceProvider ProviderVerifier verifier def setupSpec() { serviceProvider = new ProviderInfo('Dropwizard App') serviceProvider.protocol = 'http' serviceProvider.host = 'localhost' serviceProvider.port = 8080 serviceProvider.path = '/' serviceProvider.hasPactWith('zoo_app') { pactSource = new FileSource(new File(ResourceHelpers.resourceFilePath('pacts/zoo_app-animal_service.json'))) } } def setup() { verifier = new ProviderVerifier() } def cleanup() { // cleanup provider state // ie. db.truncateAllTables() } def cleanupSpec() { // cleanup provider } @Unroll def "Provider Pact - With Consumer #consumer"() { expect: verifyConsumerPact(consumer).empty where: consumer << serviceProvider.consumers } private Map verifyConsumerPact(ConsumerInfo consumer) { Map failures = [:] verifier.initialiseReporters(serviceProvider) verifier.runVerificationForConsumer(failures, serviceProvider, consumer) if (!failures.empty) { verifier.displayFailures(failures) } failures } } ```

Pact provider ============= sub project of https://github.com/DiUS/pact-jvm The pact provider is responsible for verifying that an API provider adheres to a number of pacts authored by its clients This library provides the basic tools required to automate the process, and should be usable on its own in many instances. Framework and build tool specific bindings will be provided in separate libraries that build on top of this core functionality. ### Provider State Before each interaction is executed, the provider under test will have the opportunity to enter a state. Generally the state maps to a set of fixture data for mocking out services that the provider is a consumer of (they will have their own pacts) The pact framework will instruct the test server to enter that state by sending: POST "${config.stateChangeUrl.url}/setup" { "state" : "${interaction.stateName}" } ### An example of running provider verification with junit This example uses Groovy, JUnit 4 and Hamcrest matchers to run the provider verification. As the provider service is a DropWizard application, it uses the DropwizardAppRule to startup the service before running any test. **Warning:** It only grabs the first interaction from the pact file with the consumer, where there could be many. (This could possibly be solved with a parameterized test) ```groovy class ReadmeExamplePactJVMProviderJUnitTest { @ClassRule public static final TestRule startServiceRule = new DropwizardAppRule<DropwizardConfiguration>( TestDropwizardApplication, ResourceHelpers.resourceFilePath('dropwizard/test-config.yaml')) private static ProviderInfo serviceProvider private static Pact<RequestResponseInteraction> testConsumerPact private static ConsumerInfo consumer @BeforeClass static void setupProvider() { serviceProvider = new ProviderInfo('Dropwizard App') serviceProvider.setProtocol('http') serviceProvider.setHost('localhost') serviceProvider.setPort(8080) serviceProvider.setPath('/') consumer = new ConsumerInfo() consumer.setName('test_consumer') consumer.setPactSource(new UrlSource( ReadmeExamplePactJVMProviderJUnitTest.getResource('/pacts/zoo_app-animal_service.json').toString())) testConsumerPact = DefaultPactReader.INSTANCE.loadPact(consumer.getPactSource()) as Pact<RequestResponseInteraction> } @Test void runConsumerPacts() { // grab the first interaction from the pact with consumer Interaction interaction = testConsumerPact.interactions.get(0) // setup the verifier ProviderVerifier verifier = setupVerifier(interaction, serviceProvider, consumer) // setup any provider state // setup the client and interaction to fire against the provider ProviderClient client = new ProviderClient(serviceProvider, new HttpClientFactory()) Map<String, Object> failures = new HashMap<>() verifier.verifyResponseFromProvider(serviceProvider, interaction, interaction.getDescription(), failures, client) // normally assert all good, but in this example it will fail assertThat(failures, is(not(empty()))) verifier.displayFailures(failures) } private ProviderVerifier setupVerifier(Interaction interaction, ProviderInfo provider, ConsumerInfo consumer) { ProviderVerifier verifier = new ProviderVerifier() verifier.initialiseReporters(provider) verifier.reportVerificationForConsumer(consumer, provider, new UrlSource('http://example.example')) if (!interaction.getProviderStates().isEmpty()) { for (ProviderState providerState: interaction.getProviderStates()) { verifier.reportStateForInteraction(providerState.getName(), provider, consumer, true) } } verifier.reportInteractionDescription(interaction) return verifier } } ``` ### An example of running provider verification with spock This example uses groovy and spock to run the provider verification. Again the provider service is a DropWizard application, and is using the DropwizardAppRule to startup the service. This example runs all interactions using spocks Unroll feature ```groovy class ReadmeExamplePactJVMProviderSpockSpec extends Specification { @ClassRule @Shared TestRule startServiceRule = new DropwizardAppRule<DropwizardConfiguration>(TestDropwizardApplication, ResourceHelpers.resourceFilePath('dropwizard/test-config.yaml')) @Shared ProviderInfo serviceProvider ProviderVerifier verifier def setupSpec() { serviceProvider = new ProviderInfo('Dropwizard App') serviceProvider.protocol = 'http' serviceProvider.host = 'localhost' serviceProvider.port = 8080 serviceProvider.path = '/' serviceProvider.hasPactWith('zoo_app') { consumer -> consumer.pactSource = new FileSource(new File(ResourceHelpers.resourceFilePath('pacts/zoo_app-animal_service.json'))) } } def setup() { verifier = new ProviderVerifier() } def cleanup() { // cleanup provider state // ie. db.truncateAllTables() } def cleanupSpec() { // cleanup provider } @Unroll def "Provider Pact - With Consumer #consumer"() { expect: !verifyConsumerPact(consumer).empty where: consumer << serviceProvider.consumers } private Map verifyConsumerPact(ConsumerInfo consumer) { Map failures = [:] verifier.initialiseReporters(serviceProvider) verifier.runVerificationForConsumer(failures, serviceProvider, consumer) if (!failures.empty) { verifier.displayFailures(failures) } failures } } ```

Pact provider ============= sub project of https://github.com/DiUS/pact-jvm The pact provider is responsible for verifying that an API provider adheres to a number of pacts authored by its clients This library provides the basic tools required to automate the process, and should be usable on its own in many instances. Framework and build tool specific bindings will be provided in separate libraries that build on top of this core functionality. ### Provider State Before each interaction is executed, the provider under test will have the opportunity to enter a state. Generally the state maps to a set of fixture data for mocking out services that the provider is a consumer of (they will have their own pacts) The pact framework will instruct the test server to enter that state by sending: POST "${config.stateChangeUrl.url}/setup" { "state" : "${interaction.stateName}" } ### An example of running provider verification with junit This example uses Groovy, JUnit 4 and Hamcrest matchers to run the provider verification. As the provider service is a DropWizard application, it uses the DropwizardAppRule to startup the service before running any test. **Warning:** It only grabs the first interaction from the pact file with the consumer, where there could be many. (This could possibly be solved with a parameterized test) ```groovy class ReadmeExamplePactJVMProviderJUnitTest { @ClassRule public static TestRule startServiceRule = new DropwizardAppRule<DropwizardConfiguration>( TestDropwizardApplication.class, ResourceHelpers.resourceFilePath("dropwizard/test-config.yaml")) private static ProviderInfo serviceProvider private static Pact<RequestResponseInteraction> testConsumerPact private static ConsumerInfo consumer @BeforeClass static void setupProvider() { serviceProvider = new ProviderInfo("Dropwizard App") serviceProvider.setProtocol("http") serviceProvider.setHost("localhost") serviceProvider.setPort(8080) serviceProvider.setPath("/") consumer = new ConsumerInfo() consumer.setName("test_consumer") consumer.setPactSource(new UrlSource( ReadmeExamplePactJVMProviderJUnitTest.getResource("/pacts/zoo_app-animal_service.json").toString())) testConsumerPact = PactReader.loadPact(consumer.getPactSource()) as Pact<RequestResponseInteraction> } @Test void runConsumerPacts() { // grab the first interaction from the pact with consumer Interaction interaction = testConsumerPact.interactions.get(0) // setup the verifier ProviderVerifier verifier = setupVerifier(interaction, serviceProvider, consumer) // setup any provider state // setup the client and interaction to fire against the provider ProviderClient client = new ProviderClient(serviceProvider, new HttpClientFactory()) Map<String, Object> failures = new HashMap<>() verifier.verifyResponseFromProvider(serviceProvider, interaction, interaction.getDescription(), failures, client) if (!failures.isEmpty()) { verifier.displayFailures(failures) } // Assert all good assertThat(failures, is(empty())) } private ProviderVerifier setupVerifier(Interaction interaction, ProviderInfo provider, ConsumerInfo consumer) { ProviderVerifier verifier = new ProviderVerifier() verifier.initialiseReporters(provider) verifier.reportVerificationForConsumer(consumer, provider) if (!interaction.getProviderStates().isEmpty()) { for (ProviderState providerState: interaction.getProviderStates()) { verifier.reportStateForInteraction(providerState.getName(), provider, consumer, true) } } verifier.reportInteractionDescription(interaction) return verifier } } ``` ### An example of running provider verification with spock This example uses groovy and spock to run the provider verification. Again the provider service is a DropWizard application, and is using the DropwizardAppRule to startup the service. This example runs all interactions using spocks Unroll feature ```groovy class ReadmeExamplePactJVMProviderSpockSpec extends Specification { @ClassRule @Shared TestRule startServiceRule = new DropwizardAppRule<DropwizardConfiguration>(TestDropwizardApplication, ResourceHelpers.resourceFilePath('dropwizard/test-config.yaml')) @Shared ProviderInfo serviceProvider ProviderVerifier verifier def setupSpec() { serviceProvider = new ProviderInfo('Dropwizard App') serviceProvider.protocol = 'http' serviceProvider.host = 'localhost' serviceProvider.port = 8080 serviceProvider.path = '/' serviceProvider.hasPactWith('zoo_app') { pactSource = new FileSource(new File(ResourceHelpers.resourceFilePath('pacts/zoo_app-animal_service.json'))) } } def setup() { verifier = new ProviderVerifier() } def cleanup() { // cleanup provider state // ie. db.truncateAllTables() } def cleanupSpec() { // cleanup provider } @Unroll def "Provider Pact - With Consumer #consumer"() { expect: verifyConsumerPact(consumer).empty where: consumer << serviceProvider.consumers } private Map verifyConsumerPact(ConsumerInfo consumer) { Map failures = [:] verifier.initialiseReporters(serviceProvider) verifier.runVerificationForConsumer(failures, serviceProvider, consumer) if (!failures.empty) { verifier.displayFailures(failures) } failures } } ```