"type": "string"
                    },
                    "type": {
                        "title": "Error Type",
                        "type": "string"
                    }
                }
            },
            "HTTPValidationError": {
                "title": "HTTPValidationError",
                "type": "object",
                "properties": {

     */
    public static WitnessEventType fromValue(int value) {
        for (WitnessEventType type : values()) {
            if (type.value == value) {
                return type;
            }
        }
        throw new IllegalArgumentException("Unknown witness event type: " + value);
    }

// are not included.
// Common type names include "VARCHAR", "TEXT", "NVARCHAR", "DECIMAL", "BOOL",
// "INT", and "BIGINT".
func (ct ColumnType) DatabaseTypeName() string {
	if ct.DataTypeValue.Valid {
		return ct.DataTypeValue.String
	}
	return ct.SQLColumnType.DatabaseTypeName()
}

// ColumnType returns the database type of the column. like `varchar(16)`

{* ../../docs_src/body/tutorial001_py310.py hl[16] *}

...and declare its type as the model you created, `Item`.

## Results { #results }

With just that Python type declaration, **FastAPI** will:

* Read the body of the request as JSON.
* Convert the corresponding types (if needed).
* Validate the data.

        if (paramTypes == null || paramTypes.length == 0) {
            return "";
        }
        final StringBuilder buf = new StringBuilder(100);
        for (final Class<?> type : paramTypes) {
            if (type != null) {
                buf.append(type.getName());
            } else {
                buf.append("null");
            }
            buf.append(", ");
        }
        buf.setLength(buf.length() - 2);

import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;

/**
 * A type implemented by, or extended by maven plugins or extensions.
 * Maven plugins or extensions may provide implementations of those types which will be used by maven.
 * <p>
 * A type can be marked {@link Consumer} or {@link Provider} but not both. A type is assumed to be
 * {@link Consumer} if it is not marked either {@link Consumer} or {@link Provider}.

{* ../../docs_src/response_model/tutorial003_04_py310.py hl[8] *}

...this fails because the type annotation is not a Pydantic type and is not just a single `Response` class or subclass, it's a union (any of the two) between a `Response` and a `dict`.

    /**
     * Buffer type for server checksum signature.
     */
    int SERVER_CHECKSUM = 6;
    /**
     * Buffer type for privilege server (KDC) checksum signature.
     */
    int PRIVSVR_CHECKSUM = 7;

    /**
     * Buffer type for client name information.
     */
    int CLIENT_NAME_TYPE = 0xA;
    /**
     * Buffer type for constrained delegation information.
     */
    int CONSTRAINT_DELEGATIION_TYPE = 0xB;
    /**

     *
     * @param type
     *            the type
     * @param map
     *            a {@link Map} with type variables as keys and type arguments as values for the parameterized type
     * @return a {@link ParameterizedClassDesc} representing the type
     */
    protected static ParameterizedClassDesc createParameterizedClassDesc(final Type type, final Map<TypeVariable<?>, Type> map) {

 * <i>type</i> offering meaningful behavioral guarantees. This is substantially different from the
 * case of (say) {@link HashSet}, which is an <i>implementation</i>, with semantics that were
 * largely defined by its supertype.
 *
 * <p>For field types and method return types, you should generally use the immutable type (such as