=== "Python 3.10+"

    ```Python hl_lines="12"
    {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="14"
    {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="14"
    {!> ../../../docs_src/body_nested_models/tutorial002.py!}
    ```

## Set-Typen

=== "Python 3.10+"

    ```Python hl_lines="12"
    {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!}
    ```

=== "Python 3.9+"

    ```Python hl_lines="14"
    {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!}
    ```

=== "Python 3.8+"

    ```Python hl_lines="14"
    {!> ../../../docs_src/body_nested_models/tutorial002.py!}
    ```

## Типы множеств

    "org.conscrypt;resolution:=optional," +
    "org.bouncycastle.*;resolution:=optional," +
    "org.openjsse.*;resolution:=optional," +
    "org.graalvm.nativeimage;resolution:=optional," +
    "org.graalvm.nativeimage.hosted;resolution:=optional," +
    "sun.security.ssl;resolution:=optional,*",
  "Automatic-Module-Name: okhttp3",
  "Bundle-SymbolicName: com.squareup.okhttp3"
)

normalization {
  runtimeClasspath {
    /*

It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram.

It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.

internal fun MediaType.commonHashCode(): Int = mediaType.hashCode()

private const val TOKEN = "([a-zA-Z0-9-!#$%&'*+.^_`{|}~]+)"
private const val QUOTED = "\"([^\"]*)\""
private val TYPE_SUBTYPE = Regex("$TOKEN/$TOKEN")
private val PARAMETER = Regex(";\\s*(?:$TOKEN=(?:$TOKEN|$QUOTED))?")

/**
 * Returns a media type for this string.
 *
 * @throws IllegalArgumentException if this is not a well-formed media type.
 */

    #  The list of table DB names that need to be quoted. Specified tables is quoted on auto-generated SQL.
    #
    #; quoteTableNameList = list:{}
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o quoteColumnNameList: (NotRequired - Default list:{})
    #  The list of column DB names that need to be quoted. Specified columns is quoted on auto-generated SQL.
    #

import org.gradle.api.provider.Provider
import org.gradle.api.provider.ProviderFactory
import org.gradle.api.tasks.InputFiles
import org.gradle.api.tasks.Internal
import org.gradle.api.tasks.Nested
import org.gradle.api.tasks.Optional
import org.gradle.api.tasks.PathSensitive
import org.gradle.api.tasks.PathSensitivity
import org.gradle.process.CommandLineArgumentProvider

pkg net/http, type Cookie struct, Quoted bool #46443...

This way, its schema will show up in the API docs user interface:

<img src="/img/tutorial/dataclasses/image01.png">

## Dataclasses in Nested Data Structures

You can also combine `dataclasses` with other type annotations to make nested data structures.

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

configureIde(TestType.INTEGRATION)

createTestTask("integMultiVersionTest", "forking", sourceSet, TestType.INTEGRATION) {
    // This test task runs only multi-version tests and is intended to be used in the late pipeline to sweep up versions not previously tested
    includeSpockAnnotation("org.gradle.integtests.fixtures.compatibility.MultiVersionTestCategory")
    (options as JUnitPlatformOptions).includeEngines("spock")