import java.io.UncheckedIOException;
import java.util.Arrays;
import java.util.List;
import java.util.Locale;
import java.util.Objects;
import java.util.stream.Collectors;

/**
 * This class models the contents of a changelog YAML file. We validate it using a
 * JSON Schema, as well as some programmatic checks in {@link ValidateChangelogEntryTask}.
 * <ul>

    private /* static */ long upperEight(byte[] bytes) {
      return Longs.fromBytes(
          bytes[15], bytes[14], bytes[13], bytes[12], bytes[11], bytes[10], bytes[9], bytes[8]);
    }
  };

  /**
   * Models a lock-free array of bits.
   *
   * <p>We use this instead of java.util.BitSet because we need access to the array of longs and we
   * need compare-and-swap.
   */
  static final class LockFreeBitArray {

            this.path = path;
            this.version = version;
            this.lastCommand = lastCommand;
        }
    }

    /**
     * This class models the result of running a command. It captures the exit code, standard output and standard error.
     */
    private static class Result {
        final int exitCode;
        final String stdout;

import org.apache.maven.model.Parent;
import org.apache.maven.model.Plugin;
import org.apache.maven.model.PluginExecution;
import org.apache.maven.model.PluginManagement;
import org.apache.maven.model.Profile;
import org.apache.maven.model.ReportPlugin;
import org.apache.maven.model.Reporting;
import org.apache.maven.model.Repository;
import org.apache.maven.model.Resource;
import org.apache.maven.model.building.ModelBuildingRequest;

{* ../../docs_src/path_params/tutorial005_py310.py hl[1,6:9] *}

/// tip

If you are wondering, "AlexNet", "ResNet", and "LeNet" are just names of Machine Learning <dfn title="Technically, Deep Learning model architectures">models</dfn>.

///

### Declare a *path parameter* { #declare-a-path-parameter }

Then create a *path parameter* with a type annotation using the enum class you created (`ModelName`):

    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.
    * ...and many more.
* Automatic interactive API documentation, including 2 alternative user interfaces:
    * Swagger UI.
    * ReDoc.

---

Coming back to the previous code example, **FastAPI** will:

     *
     * @return the settings instance
     */
    @Nonnull
    Settings getSettings();

    /**
     * Retrieves toolchain models that have been explicitly configured.
     *
     * @return the toolchain models
     */
    @Nonnull
    Collection<ToolchainModel> getToolchains();

    /**
     * Retrieves the local repository associated with this session.
     *

import org.apache.maven.api.feature.Features;
import org.apache.maven.api.model.Dependency;
import org.apache.maven.api.model.DistributionManagement;
import org.apache.maven.api.model.Model;
import org.apache.maven.api.model.ModelBase;
import org.apache.maven.api.model.Parent;
import org.apache.maven.api.model.Profile;
import org.apache.maven.api.model.Repository;
import org.apache.maven.api.model.Scm;
import org.apache.maven.api.services.MavenException;

    * Convert Python types (`str`, `int`, `float`, `bool`, `list`, etc).
    * `datetime` objects.
    * `UUID` objects.
    * Database models.
    * ...and many more.
* Automatic interactive API documentation, including 2 alternative user interfaces:
    * Swagger UI.
    * ReDoc.

---

Coming back to the previous code example, **FastAPI** will:

# リクエストのExampleデータの宣言 { #declare-request-example-data }

アプリが受け取れるデータの例を宣言できます。

ここでは、それを行ういくつかの方法を紹介します。

## Pydanticモデルでの追加JSON Schemaデータ { #extra-json-schema-data-in-pydantic-models }

生成されるJSON Schemaに追加されるPydanticモデルの`examples`を宣言できます。

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

その追加情報は、そのモデルの出力**JSON Schema**にそのまま追加され、APIドキュメントで使用されます。