```

So, again, we should declare the *path operation functions* and the dependency without `async def`, just with a normal `def`, as:

```Python hl_lines="2"
# Something goes here
def read_users(skip: int = 0, limit: int = 100):
    # Something goes here
```

## Testing Peewee with async

This example includes an extra *path operation* that simulates a long processing request with `time.sleep(sleep_time)`.

| *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

The modules under this directory will be released exactly once each. Once that

## Example using Python API

### 1. Prerequisites

- Install MinIO Server from [here](https://min.io/docs/minio/linux/index.html#procedure).
- Familiarity with AWS S3 API.
- Familiarity with Python and installing dependencies.

### 2. Install boto3

Install `aws-sdk-python` from AWS SDK for Python official docs [here](https://aws.amazon.com/sdk-for-python/)

### 3. Example

    bufferA.writeUtf8("Dodgson, we've got Dodgson here!\n")
    operatorA.write(36, bufferA, 33)
    operatorB.read(0, bufferB, 9)
    assertThat(bufferB.readUtf8()).isEqualTo("Dodgson!\n")
    operatorA.read(9, bufferA, 27)
    assertThat(bufferA.readUtf8()).isEqualTo("You shouldn't use my name.\n")
    operatorB.read(36, bufferB, 33)
    assertThat(bufferB.readUtf8()).isEqualTo("Dodgson, we've got Dodgson here!\n")
  }

  @Test

be required before going through the steps below. This is due to the new Python
versions becoming available through `rules-python`. \
See
[here](https://github.com/tensorflow/tensorflow/commit/f91457f258fdd78f693044a57efa63a38335d1de),
and
[here](https://github.com/tensorflow/tensorflow/commit/052445e04ce20fd747657e0198a1bcec2b6dff5b),
for an example.

See

# Proje oluşturma - Şablonlar

Başlamak için bir proje oluşturucu kullanabilirsiniz, çünkü sizin için önceden yapılmış birçok başlangıç ​​kurulumu, güvenlik, veritabanı ve temel API endpoinlerini içerir.

Bir proje oluşturucu, her zaman kendi ihtiyaçlarınıza göre güncellemeniz ve uyarlamanız gereken esnek bir kuruluma sahip olacaktır, ancak bu, projeniz için iyi bir başlangıç ​​noktası olabilir.

## Full Stack FastAPI PostgreSQL

      sink.flush()
    }
  }

  /**
   * Tell the peer to stop creating streams and that we last processed `lastGoodStreamId`, or zero
   * if no streams were processed.
   *
   * @param lastGoodStreamId the last stream ID processed, or zero if no streams were processed.
   * @param errorCode reason for closing the connection.
   * @param debugData only valid for HTTP/2; opaque debug data to send.
   */

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:

# Dependencies - `Depends()` and `Security()`

## `Depends()`

Dependencies are handled mainly with the special function `Depends()` that takes a callable.

Here is the reference for it and its parameters.

You can import it directly from `fastapi`:

```python
from fastapi import Depends
```

::: fastapi.Depends

## `Security()`