java-version: 17
      - id: determine-sys-prop-args
        uses: actions/github-script@v8
        with:
          script: |
            if (context.payload.pull_request && context.payload.pull_request.head.repo.fork) {
                core.setOutput('sys-prop-args', '-DagreePublicBuildScanTermOfService=yes -Ddevelocity.edge.discovery=false -DcacheNode=us --scan')
            } else {
                core.setOutput('sys-prop-args', '')

mvn license:format
```

### Code Style

- Follow Java coding conventions
- Use proper JavaDoc comments for public APIs
- Include unit tests for new functionality
- Ensure all tests pass before submitting PR

## License

## Key Features

- **Smart Query Suggestions**: Real-time auto-completion and search suggestions
- **Multi-language Support**: Built-in support for Japanese text processing with Kuromoji analyzer
- **Popular Words Analytics**: Track and analyze frequently searched terms
- **Flexible Text Processing**: Configurable converters and normalizers for text transformation

///

## Pydantic Models for Forms { #pydantic-models-for-forms }

You just need to declare a **Pydantic model** with the fields you want to receive as **form fields**, and then declare the parameter as `Form`:

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI** will **extract** the data for **each field** from the **form data** in the request and give you the Pydantic model you defined.

Solo necesitas declarar un **modelo de Pydantic** con los campos que quieres recibir como **campos de formulario**, y luego declarar el parámetro como `Form`:

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI** **extraerá** los datos de **cada campo** de los **form data** en el request y te dará el modelo de Pydantic que definiste.

## Revisa la Documentación

Этот функционал доступен с версии `0.113.0`. 🤓

///

## Pydantic-модель для формы

Вам просто нужно объявить **Pydantic-модель** с полями, которые вы хотите получить как **поля формы**, а затем объявить параметр как `Form`:

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI** **извлечёт** данные для **каждого поля** из **данных формы** в запросе и выдаст вам объявленную Pydantic-модель.

## Pydantic 모델을 사용한 폼

**폼 필드**로 받고 싶은 필드를 **Pydantic 모델**로 선언한 다음, 매개변수를 `Form`으로 선언하면 됩니다:

{* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}

**FastAPI**는 요청에서 받은 **폼 데이터**에서 **각 필드**에 대한 데이터를 **추출**하고 정의한 Pydantic 모델을 줍니다.

## 문서 확인하기

문서 UI `/docs`에서 확인할 수 있습니다:

<div class="screenshot">
<img src="/img/tutorial/request-form-models/image01.png">
</div>

## 추가 폼 필드 금지하기

# Моделі форм (Form Models)

У FastAPI Ви можете використовувати **Pydantic-моделі** для оголошення **полів форми**.

/// info | Інформація

Щоб використовувати форми, спочатку встановіть <a href="https://github.com/Kludex/python-multipart" class="external-link" target="_blank">python-multipart</a>.

name: IDE Experience team notifier
run-name: Notify the IDE Experience team about new RCs for manual testing
on:
  push:
    tags:
      - 'v*.*.*-RC1'

permissions: {}

jobs:
  send-slack-notification:
    runs-on: ubuntu-latest
    steps:
      - name: Send Slack notification about new RCs for manual testing
        id: slack
        uses: slackapi/slack-github-action@v2.1.1
        with:

* `tf.lite`
    * Added support for `stablehlo.gather`.
    * Added support for `stablehlo.add`.
    * Added support for `stablehlo.multiply`.
    * Added support for `stablehlo.maximum`.
    * Added support for `stablehlo.minimum`.
    * Added boolean parameter support for `tfl.gather_nd`.
    * C API:
        * New API functions:
            * `tensorflow/lite/c/c_api_experimental.h`: