"jeden", "jeder", "jedes", "jene", "jenem", "jenen", "jener", "jenes", "jetzt", "kann", "kein", "keine", "keinem", "keinen", "keiner", "keines", "können", "könnte", "machen", "man", "manche", "manchem", "manchen", "mancher", "manches", "mein", "meine", "meinem", "meinen", "meiner", "meines", "mit", "muss", "musste", "nach", "nicht", "nichts", "noch", "nun", "nur", "ob", "oder", "ohne", "sehr", "sein", "seine", "seinem", "seinen", "seiner", "seines", "selbst", "sich", "sie", "ihnen", "sind", "so", "solche",...

That's what makes it possible to have multiple automatic interactive documentation interfaces, code generation, etc.

OpenAPI has a way to define multiple security "schemes".

By using them, you can take advantage of all these standard-based tools, including these interactive documentation systems.

OpenAPI defines the following security schemes:

* `apiKey`: an application specific key that can come from:
    * A query parameter.
    * A header.

/**
 * Test class for NtStatus constants
 */
@DisplayName("NtStatus Tests")
class NtStatusTest {

    @Test
    @DisplayName("Should define well-known NT status constants")
    void testWellKnownStatusConstants() {
        // Verify important NT status constants are defined
        assertEquals(0x00000000, NtStatus.NT_STATUS_SUCCESS);
        assertEquals((int) 0xC0000022L, NtStatus.NT_STATUS_ACCESS_DENIED);

            <p>Actual content structure is completely open: each toolchain type will define its own format and
            semantics.
            <p>In general, this is a properties format: {@code <name>value</name>} with per-toolchain
            defined properties names.
          </description>
        </field>
      </fields>
      <codeSegments>
        <codeSegment>

# Lifespan Events { #lifespan-events }

You can define logic (code) that should be executed before the application **starts up**. This means that this code will be executed **once**, **before** the application **starts receiving requests**.

The same way, you can define logic (code) that should be executed when the application is **shutting down**. In this case, this code will be executed **once**, **after** having handled possibly **many requests**.

    class InterfaceMethodContractTest {

        @Test
        @DisplayName("Should define exactly four public methods")
        void shouldDefineExactlyFourPublicMethods() {
            java.lang.reflect.Method[] methods = SmbSession.class.getDeclaredMethods();
            assertEquals(4, methods.length, "SmbSession should define exactly 4 methods");
        }

        @Test

 */
@TestInstance(TestInstance.Lifecycle.PER_CLASS)
class FileInformationTest {

    /**
     * Test that interface constants are correctly defined
     */
    @Test
    @DisplayName("Test FileInformation constants are correctly defined")
    void testInterfaceConstants() {
        // Verify all constants have expected values
        assertEquals((byte) 20, FileInformation.FILE_ENDOFFILE_INFO);

    /** End of file reached */
    int NT_STATUS_END_OF_FILE = 0xC0000011;
    /** More processing is required to complete this request */
    int NT_STATUS_MORE_PROCESSING_REQUIRED = 0xC0000016;
    /** Access is denied */
    int NT_STATUS_ACCESS_DENIED = 0xC0000022;
    /** The data area passed to a system call is too small */
    int NT_STATUS_BUFFER_TOO_SMALL = 0xC0000023;
    /** The object name is invalid */

import org.apache.maven.api.annotations.Nonnull;
import org.apache.maven.api.model.PluginContainer;

/**
 * Represents the packaging of a Maven project.
 *
 * <p>The {@code Packaging} class defines the type of artifact that a Maven project produces during the build process.
 * The packaging type determines the structure of the project's output and how Maven will treat the resulting artifact.</p>
 *

    * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data.
* Validate **complex structures**:
    * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.