# https://docs.github.com/en/communities/using-templates-to-encourage-useful-issues-and-pull-requests/syntax-for-githubs-form-schema
name: Bugs
description: The go command, standard library, or anything else
title: "import/path: issue title"

body:
  - type: markdown
    attributes:
      value: |

///

//// tab | `pip`

<div class="termy">

```console
$ pip install "fastapi[standard]"

---> 100%
```

</div>

////

//// tab | `uv`

If you have [`uv`](https://github.com/astral-sh/uv):

<div class="termy">

```console
$ uv pip install "fastapi[standard]"
---> 100%
```

</div>

////

# GraphQL { #graphql }

Da **FastAPI** auf dem **ASGI**-Standard basiert, ist es sehr einfach, jede **GraphQL**-Bibliothek zu integrieren, die auch mit ASGI kompatibel ist.

Sie können normale FastAPI-*Pfadoperationen* mit GraphQL in derselben Anwendung kombinieren.

/// tip | Tipp

**GraphQL** löst einige sehr spezifische Anwendungsfälle.

Es hat **Vorteile** und **Nachteile** im Vergleich zu gängigen **Web-APIs**.

{* ../../docs_src/sub_applications/tutorial001_py310.py hl[3, 6:8] *}

### Unteranwendung { #sub-application }

Erstellen Sie dann Ihre Unteranwendung und deren *Pfadoperationen*.

Diese Unteranwendung ist nur eine weitere Standard-FastAPI-Anwendung, aber diese wird „gemountet“:

{* ../../docs_src/sub_applications/tutorial001_py310.py hl[11, 14:16] *}

### Die Unteranwendung mounten { #mount-the-sub-application }

  @ParametricNullness
  public V get(long timeout, TimeUnit unit)
      throws InterruptedException, ExecutionException, TimeoutException {
    return delegate().get(timeout, unit);
  }

  // TODO(cpovirk): Use standard Javadoc form for SimpleForwarding* class and constructor
  /**
   * A simplified version of {@link ForwardingFuture} where subclasses can pass in an already
   * constructed {@link Future} as the delegate.
   *

Go on iOS
=========

To run the standard library tests, run all.bash as usual, but with the compiler
set to the clang wrapper that invokes clang for iOS. For example, this command runs
 all.bash on the iOS emulator:

	GOOS=ios GOARCH=amd64 CGO_ENABLED=1 CC_FOR_TARGET=$(pwd)/../misc/ios/clangwrap.sh ./all.bash

If CC_FOR_TARGET is not set when the toolchain is built (make.bash or all.bash), CC
can be set on the command line. For example,

`TestClient`'ı import edin.

**FastAPI** uygulamanızı ona vererek bir `TestClient` oluşturun.

Adı `test_` ile başlayan fonksiyonlar oluşturun (bu, `pytest`'in standart konvansiyonudur).

`TestClient` nesnesini `httpx` ile kullandığınız şekilde kullanın.

Kontrol etmeniz gereken şeyler için standart Python ifadeleriyle basit `assert` satırları yazın (bu da `pytest` standardıdır).

{* ../../docs_src/app_testing/tutorial001_py310.py hl[2,12,15:18] *}

grpcio >= 1.68.1, < 2.0
portpicker == 1.6.0
# Scipy 15.x and above have misc.derivative removed, but we still use it
scipy >= 1.13.0, < 1.15.0
requests >= 2.31.0
packaging==23.2
setuptools==78.1.1
jax==0.4.7
zstandard==0.23.0
# The dependencies below are needed for TF wheel testing.
tensorflow-io-gcs-filesystem==0.37.1 ; python_version <= "3.12"
libclang >= 13.0.0
google_pasta ~= 0.2

### Sous-application { #sub-application }

Ensuite, créez votre sous‑application et ses *chemins d'accès*.

Cette sous‑application est simplement une autre application FastAPI standard, mais c'est celle qui sera « montée » :

{* ../../docs_src/sub_applications/tutorial001_py310.py hl[11, 14:16] *}

### Monter la sous-application { #mount-the-sub-application }

      },
      "swedish_stemmer": {
        "type": "stemmer",
        "language": "swedish"
      }
    },
    "analyzer": {
      "sv_analyzer": {
        "type": "custom",
        "tokenizer": "standard",
        "filter": ["lowercase", "swedish_stop", "swedish_stemmer"]
      }
    }
  }
}
```

### 2. Add Custom Dictionaries (Optional)