<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>
      <subscribe>******@****.***</subscribe>

        },
        "components": {
            "schemas": {
                "Model": {
                    "title": "Model",
                    "required": ["name"],
                    "type": "object",
                    "properties": {"name": {"title": "Name", "type": "string"}},
                }
            }
        },

import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from ...utils import needs_py310


@pytest.fixture(name="client")
def get_client():
    from docs_src.dependencies.tutorial004_py310 import app

    client = TestClient(app)
    return client


@needs_py310
@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [
        (
            "/items",

        [OldSuperInternal, NewSuperInternal].each {
            CtClass c = instanceScopedPool.get(it.name)
            c.name = replaceAsInternal(c.name)
            classes[it.simpleName] = c
        }
        [OldBase, OldSub, NewBase, NewSub].each {
            classes[it.simpleName] = instanceScopedPool.get(it.name)
        }

        classes['OldBase'].superclass = classes['OldSuperInternal']

			writeErrorResponse(ctx, w, apiErr, r.URL)
			return
		}
		maxParts--

		name := part.FormName()
		if name == "" {
			continue
		}

		fileName = part.FileName()

		// Multiple values for the same key (one map entry, longer slice) are cheaper
		// than the same number of values for different keys (many map entries), but
		// using a consistent per-value cost for overhead is simpler.

        .build()

    client.newCall(request).execute().use { response ->
      if (!response.isSuccessful) throw IOException("Unexpected code $response")

      for ((name, value) in response.headers) {
        println("$name: $value")
      }

      println(response.body.string())
    }
  }
}

fun main() {
  SynchronousGet().run()

from fastapi import Depends, FastAPI, Security
from fastapi.security import APIKeyQuery
from fastapi.testclient import TestClient
from pydantic import BaseModel

app = FastAPI()

api_key = APIKeyQuery(name="key", description="API Key Query")


class User(BaseModel):
    username: str


def get_current_user(oauth_header: str = Security(api_key)):
    user = User(username=oauth_header)
    return user


@app.get("/users/me")

#include "tensorflow/c/tf_status.h"

void RegisterLoggingDevice(TFE_Context* context, const char* name,
                           bool strict_scope_placement, bool* arrived_flag,
                           bool* executed_flag, TF_Status* status);
void AllocateLoggingDevice(const char* name, bool* arrived_flag,
                           bool* executed_flag, TFE_CustomDevice** device,

public class IterationMarkCharFilterFactory extends AbstractCharFilterFactory {

    public IterationMarkCharFilterFactory(final IndexSettings indexSettings, final Environment env, final String name,
            final Settings settings) {
        super(indexSettings, name);
    }

    @Override
    public Reader create(final Reader tokenStream) {
        return new IterationMarkCharFilter(tokenStream);
    }

```Python
@lru_cache
def say_hi(name: str, salutation: str = "Ms."):
    return f"Hello {salutation} {name}"
```

👆 📋 💪 🛠️ 💖 👉:

```mermaid
sequenceDiagram

participant code as Code
participant function as say_hi()
participant execute as Execute function

    rect rgba(0, 255, 0, .1)
        code ->> function: say_hi(name="Camila")