name: Notify Translations

on:
  pull_request_target:
    types:
      - labeled
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  job:

                        "responses": {
                            "200": {
                                "content": {"application/json": {"schema": {}}},
                                "description": "Successful Response",
                            }
                        },
                        "summary": "A",
                    }
                },
                "/b": {
                    "get": {

{
    "responses": {
        "404": {
            "description": "Additional Response",
            "content": {
                "application/json": {
                    "schema": {
                        "$ref": "#/components/schemas/Message"
                    }
                }
            }
        },
        "200": {
            "description": "Successful Response",
            "content": {

Ви можете надіслати запит так:

```json
{
    "description": "Some data",
    "data": "aGVsbG8="
}
```

/// tip | Порада

`aGVsbG8=` - це кодування base64 для `hello`.

///

Після цього Pydantic декодує строку base64 і надасть вам початкові байти в полі моделі `data`.

Ви отримаєте відповідь приблизно таку:

```json
{
  "description": "Some data",
  "content": "hello"
}
```

  }

  override fun afterEach(context: ExtensionContext?) {
    logger.setLevel(previousLevel)
    logger.removeHandler(handler)
  }

  override fun apply(
    base: Statement,
    description: Description,
  ): Statement =
    object : Statement() {
      override fun evaluate() {
        beforeEach(null)
        try {
          base.evaluate()
        } finally {
          afterEach(null)
        }

  <modelVersion>4.0.0</modelVersion>

  <groupId>inheritance</groupId>
  <artifactId>parent</artifactId>
  <version>11-SNAPSHOT</version>

  <name>Model inheritance test</name>
  <description>Model inheritance description</description>
  <url>http://www.apache.org/</url>

  <mailingLists>
    <mailingList>
      <name>parent</name>
      <post>******@****.***</post>

    stage: Stage,
    bucketIndex: Int,
    description: String,
    tests: Map<String, List<Scenario>>,
): PerformanceTest {
    val descriptionWithMaybeBucketIndex =
        if (performanceTestCoverage.type == PerformanceTestType.FLAKINESS_DETECTION) {
            "$description - index $bucketIndex"
        } else {
            description
        }
    return PerformanceTest(
        model,

    item = {"item_id": item_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(
            {"description": "This is an amazing item that has a long description"}
        )

from fastapi import FastAPI
from pydantic import BaseModel as BaseModelV2
from pydantic.v1 import BaseModel


class Item(BaseModel):
    name: str
    description: str | None = None
    size: float


class ItemV2(BaseModelV2):
    name: str
    description: str | None = None
    size: float


app = FastAPI()


@app.post("/items/", response_model=ItemV2)
async def create_item(item: Item):

app = FastAPI()


@app.post("/files/")
async def create_file(file: Annotated[bytes, File(description="A file read as bytes")]):
    return {"file_size": len(file)}


@app.post("/uploadfile/")
async def create_upload_file(
    file: Annotated[UploadFile, File(description="A file read as UploadFile")],
):