import java.nio.CharBuffer;
import java.util.Random;

/**
 * Benchmarks for {@link CharStreams#copy}.
 *
 * <p>{@link CharStreams#copy} has type specific optimizations for various common Appendable and
 * Reader implementations, this compares the performance of the different options.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
public class CharStreamsCopyBenchmark {

            timeZone = TimeZone.getTimeZone("UTC")
        }

        fun readBuildReceiptFromString(buildReceipt: String) =
            Properties().apply { load(buildReceipt.reader()) }

        const val buildReceiptFileName = "build-receipt.properties"
        const val buildReceiptLocation = "org/gradle/$buildReceiptFileName"
    }

    @get:Input
    abstract val version: Property<String>

client = TestClient(app)


def test_security_oauth2():
    response = client.get("/users/me", headers={"Authorization": "Bearer footokenbar"})
    assert response.status_code == 200, response.text
    assert response.json() == {"username": "Bearer footokenbar"}


def test_security_oauth2_password_other_header():
    response = client.get("/users/me", headers={"Authorization": "Other footokenbar"})
    assert response.status_code == 200, response.text

E todas elas usarão a mesma conexão WebSocket.

## Usando `Depends` e outros

Nos endpoints WebSocket você pode importar do `fastapi` e usar:

* `Depends`
* `Security`
* `Cookie`
* `Header`
* `Path`
* `Query`

Eles funcionam da mesma forma que para outros endpoints FastAPI/*operações de rota*:

{*../../docs_src/websockets/tutorial002_an_py310.py hl[68:69,82]*}

/// info | Informação

| :--        | :--      |
| *Type*     | *String* |
| *Required* | *Yes*    |

### AUTHPARAMS

Indicates STS API Authorization information. If you are familiar with AWS Signature V4 Authorization header, this STS API supports signature V4 authorization as mentioned [here](https://docs.aws.amazon.com/general/latest/gr/signature-version-4.html)

### DurationSeconds

	delete(metadata, xhttp.AmzMetaUnencryptedContentLength)
	delete(metadata, xhttp.AmzMetaUnencryptedContentMD5)
}

// RemoveSSEHeaders removes all crypto-specific SSE
// header entries from the metadata map.
func RemoveSSEHeaders(metadata map[string]string) {
	delete(metadata, xhttp.AmzServerSideEncryption)
	delete(metadata, xhttp.AmzServerSideEncryptionKmsID)

    traceparent: str | None = None
    x_tag: list[str] = []


@app.get("/items/")
async def read_items(headers: Annotated[CommonHeaders, Header()]):
    return headers
```

Read the new docs: [Header Parameter Models](https://fastapi.tiangolo.com/tutorial/header-param-models/).

#### `Cookie` Parameter Models

Use Pydantic models for `Cookie` parameters:

```python

 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2.1 of the License, or (at your option) any later version.
 * 
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the GNU
 * Lesser General Public License for more details.
 * 

/// note

This is supported since FastAPI version `0.115.0`. 🤓

///

/// tip

This same technique applies to `Query`, `Cookie`, and `Header`. 😎

///

## Cookies with a Pydantic Model

Declare the **cookie** parameters that you need in a **Pydantic model**, and then declare the parameter as `Cookie`:

//// tab | Python 3.10+

	return input
}

// The other files in this directory each contain an implementation of TokenReader.

// A TokenReader is like a reader, but returns lex tokens of type Token. It also can tell you what
// the text of the most recently returned token is, and where it was found.
// The underlying scanner elides all spaces except newline, so the input looks like a stream of
// Tokens; original spacing is lost but we don't need it.