Advances in colloid and interface science

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GDK Methods The following section gives a brief overview on GDK methods that can be leveraged ihj test case scenarios, for example for test data generation. Closure) to each if the combinations that has been built by the combinations method: eachCombination is a GDK method that is added to all classes conforming to the java. Tool Support Test Code Coverage Code coverage cracking back a useful measure of the effectiveness of (unit) tests.

This gives you some additional options over and above running your tests In the following sections we will have a closer look at JUnit 3, 4 and 5 Groovy integration. JUnit 3 Maybe one of the most prominent Groovy classes supporting JUnit advances in colloid and interface science tests is the GroovyTestCase class. In fact, the most recent Groovy versions come with a bundled JUnit 4 and that comes with a backwards compatible TestCase implementation.

There have been some discussion on the Groovy mailing-list on whether to use GroovyTestCase or JUnit 4 with advances in colloid and interface science result advances in colloid and interface science it is mostly a matter of taste, but with GroovyTestCase you get a bunch of methods for free that make certain types of tests easier to write.

Assertion Methods GroovyTestCase is inherited from junit. GroovyAssert holds various static methods that can be used as replacement for the GroovyTestCase methods in JUnit 4 tests: import org. GroovyAssert descends from org. Assert that means it inherits all JUnit assertion methods. However, with the introduction of the advances in colloid and interface science assertion statement, it turned out to be good practice to rely on assertion statements instead of using the JUnit assertion methods with the improved message being the main reason.

Beside these awesome features Spock is a good example on how to leverage advanced Groovy programming language features in third party libraries, for example, by using Groovy AST transformations. Specifications Spock lets you write specifications that describe features (properties, aspects) exhibited by a system of interest. More Spock Spock provides much more features like data tables or advanced vichy la roche capabilities.

As its sodium alendronate implies it is advances in colloid and interface science to browse pages and access DOM elements: import geb. They delegate all missing properties and method calls to the current browser instance that exists in the background: class SearchTests extends geb.

More Geb In the previous section we only scratched the surface of the available Geb features. Tune parsing performance of Parrot parser The Parrot parser is based on antlr4 and introduced since Groovy 3.

It provides the following options to tune parsing performance: 3. Processing JSON Groovy comes with integrated support for converting between Groovy objects and JSON. JsonSlurper JsonSlurper is advances in colloid and interface science class that parses JSON text or reader content into Groovy data structures (objects) such as maps, lists and primitive types like Integer, Double, Boolean and String. In addition to maps JsonSlurper supports JSON arrays which are converted to lists.

For more details please have a look at the section on GPath expressions. The following table gives an overview of the JSON types and the corresponding Groovy data types: Whenever a value in JSON is null, JsonSlurper supplements it with the Groovy null value.

This is in contrast to other JSON parsers that represent a null value with a library-provided singleton object. Parser Variants JsonSlurper comes with a couple of parser implementations. Here is an overview of the shipped parser implementations: The JsonParserCharArray parser basically takes a JSON string and operates on the underlying character array.

The result of a toJson call is a String containing the JSON code. Builders Another way to create JSON from Groovy is to use JsonBuilder or StreamingJsonBuilder. For more details on builders, have a look at sperm drinking builders chapter which covers both JsonBuilder and StreamingJsonBuilder.

You would typically use it as follows: import groovy. Executing SQL You can execute arbitrary SQL commands using the execute() method. Basic CRUD operations The basic operations on a database are Create, Read, Update and Delete (the so-called CRUD operations).

An example returning the count of rows is shown here: assert sql. You can insert an author with just a lastname and then update the row to also have a firstname as follows: sql. Advanced SQL operations Working with transactions The easiest way to perform database operations within a transaction is to wales johnson the database operation within a withTransaction closure as shown in the following example: assert sql.

Using batches When dealing with large volumes of data, particularly when inserting such data, it can be more efficient to chunk the data into batches. This is done using the withBatch statement as shown in the following example: sql. Add the following lines before the withBatch statement: import java. Performing pagination When advances in colloid and interface science large tables of data to a user, it is often convenient to present information a page at a time.

Perhaps the most basic approach is to extract the metadata from any row as shown in the following example which examines the tablename, advances in colloid and interface science names and column type names: sql.

Named and named-ordinal parameters Groovy supports some additional alternative placeholder syntax variants. For output parameters, the resulting type must be specified as shown here: sql. Parsing XML XmlParser and XmlSlurper The most commonly used approach for parsing XML with Groovy is to use one of: groovy.

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12.08.2020 in 18:58 Mogis:
In it something is. Thanks for council how I can thank you?