```JSON
{"item_id":"foo"}
```

## Параметры пути с типами { #path-parameters-with-types }

Вы можете объявить тип параметра пути в функции, используя стандартные аннотации типов Python:

{* ../../docs_src/path_params/tutorial002_py39.py hl[7] *}

Здесь, `item_id` объявлен типом `int`.

 * the {@link ProjectBuilder} service.
 *
 * @since 4.0.0
 */
@Experimental
@Immutable
public interface ModelBuilderRequest extends RepositoryAwareRequest {

    /**
     * The possible request types for building a model.
     */
    enum RequestType {
        /**
         * The request is for building an initial model from a POM file in a project on the filesystem.
         */
        BUILD_PROJECT,
        /**

 * CacheLoader}</a>, etc.), so you can use Caffeine without needing to use any Guava types.
 * Caffeine's types are better than Guava's, especially for <a
 * href="https://www.javadoc.io/doc/com.github.ben-manes.caffeine/caffeine/latest/com.github.benmanes.caffeine/com/github/benmanes/caffeine/cache/AsyncLoadingCache.html">their

import jcifs.CIFSException;

/**
 * Unified exception class for SMB operations providing enhanced error handling,
 * retry policies, and contextual information.
 *
 * This exception consolidates the various SMB exception types and provides:
 * - Standardized error codes
 * - Automatic retry policies
 * - Rich contextual information
 * - Error categorization
 * - Performance metrics
 */

      transformation or translation of a Source form, including but
      not limited to compiled object code, generated documentation,
      and conversions to other media types.

      "Work" shall mean the work of authorship, whether in Source or
      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work

which could allow them to execute arbitrary code on the system running
TensorFlow.

It is important to keep TensorFlow up to date with the latest security patches
and follow the sandboxing guideline above to protect against these types of
vulnerabilities.

## Security properties of execution modes

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily

pkg go/ast, type CompositeLit struct, Incomplete bool
pkg go/token, method (*File) AddLineColumnInfo(int, string, int, int)
pkg go/types, func NewInterfaceType([]*Func, []Type) *Interface
pkg go/types, method (*Interface) EmbeddedType(int) Type
pkg go/types, method (*Var) Embedded() bool
pkg net, method (*ListenConfig) Listen(context.Context, string, string) (Listener, error)

### 現代的なPython

FastAPIの機能はすべて、標準のPython 3.8型宣言に基づいています（Pydanticの功績）。新しい構文はありません。ただの現代的な標準のPythonです。

（FastAPIを使用しない場合でも）Pythonの型の使用方法について簡単な復習が必要な場合は、短いチュートリアル（[Python Types](python-types.md){.internal-link target=_blank}）を参照してください。

型を使用した標準的なPythonを記述します:

```Python
from datetime import date

from pydantic import BaseModel

# Declare a variable as a str

                pageSize, offset);
    }

    /**
     * Converts an object value to a float for score calculations.
     * Handles Float and String types, returning 0.0f for unsupported types.
     *
     * @param value the object to convert to float
     * @return float representation of the value, or 0.0f if conversion fails
     */
    protected float toFloat(final Object value) {

 * {@code create(Iterable<? extends E>)}, returning a multiset containing the given initial
 * elements. This is simply a refinement of {@code Collection}'s constructor recommendations.
 *
 * <p>As with other collection types, the modification operations are optional, and should throw
 * {@link UnsupportedOperationException} when they are not implemented. Most implementations should