Rename `dataclasses` to `dataclasses_` and `graphql` to `graphql_` to avoid package name collisions

docs/de/docs/advanced/dataclasses.md

@@ -4,7 +4,7 @@ FastAPI basiert auf **Pydantic**, und ich habe Ihnen gezeigt, wie Sie Pydantic-M
 
 Aber FastAPI unterstützt auf die gleiche Weise auch die Verwendung von <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a>:
 
-{* ../../docs_src/dataclasses/tutorial001_py310.py hl[1,6:11,18:19] *}
+{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}
 
 Das ist dank **Pydantic** ebenfalls möglich, da es <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">`dataclasses` intern unterstützt</a>.
 
@@ -32,7 +32,7 @@ Wenn Sie jedoch eine Menge Datenklassen herumliegen haben, ist dies ein guter Tr
 
 Sie können `dataclasses` auch im Parameter `response_model` verwenden:
 
-{* ../../docs_src/dataclasses/tutorial002_py310.py hl[1,6:12,18] *}
+{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}
 
 Die Datenklasse wird automatisch in eine Pydantic-Datenklasse konvertiert.
 
@@ -48,7 +48,7 @@ In einigen Fällen müssen Sie möglicherweise immer noch Pydantics Version von
 
 In diesem Fall können Sie einfach die Standard-`dataclasses` durch `pydantic.dataclasses` ersetzen, was einen direkten Ersatz darstellt:
 
-{* ../../docs_src/dataclasses/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
+{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
 
 1. Wir importieren `field` weiterhin von Standard-`dataclasses`.
 

docs/de/docs/how-to/graphql.md

@@ -35,7 +35,7 @@ Abhängig von Ihrem Anwendungsfall könnten Sie eine andere Bibliothek vorziehen
 
 Hier ist eine kleine Vorschau, wie Sie Strawberry mit FastAPI integrieren können:
 
-{* ../../docs_src/graphql/tutorial001_py39.py hl[3,22,25] *}
+{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}
 
 Weitere Informationen zu Strawberry finden Sie in der <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry-Dokumentation</a>.
 

docs/en/docs/advanced/dataclasses.md

@@ -4,7 +4,7 @@ FastAPI is built on top of **Pydantic**, and I have been showing you how to use
 
 But FastAPI also supports using <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> the same way:
 
-{* ../../docs_src/dataclasses/tutorial001_py310.py hl[1,6:11,18:19] *}
+{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}
 
 This is still supported thanks to **Pydantic**, as it has <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">internal support for `dataclasses`</a>.
 
@@ -32,7 +32,7 @@ But if you have a bunch of dataclasses laying around, this is a nice trick to us
 
 You can also use `dataclasses` in the `response_model` parameter:
 
-{* ../../docs_src/dataclasses/tutorial002_py310.py hl[1,6:12,18] *}
+{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}
 
 The dataclass will be automatically converted to a Pydantic dataclass.
 
@@ -48,7 +48,7 @@ In some cases, you might still have to use Pydantic's version of `dataclasses`.
 
 In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:
 
-{* ../../docs_src/dataclasses/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
+{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
 
 1. We still import `field` from standard `dataclasses`.
 

docs/en/docs/how-to/graphql.md

@@ -35,7 +35,7 @@ Depending on your use case, you might prefer to use a different library, but if
 
 Here's a small preview of how you could integrate Strawberry with FastAPI:
 
-{* ../../docs_src/graphql/tutorial001_py39.py hl[3,22,25] *}
+{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}
 
 You can learn more about Strawberry in the <a href="https://strawberry.rocks/" class="external-link" target="_blank">Strawberry documentation</a>.
 

docs/es/docs/advanced/dataclasses.md

@@ -4,7 +4,7 @@ FastAPI está construido sobre **Pydantic**, y te he estado mostrando cómo usar
 
 Pero FastAPI también soporta el uso de <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> de la misma manera:
 
-{* ../../docs_src/dataclasses/tutorial001_py310.py hl[1,6:11,18:19] *}
+{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}
 
 Esto sigue siendo soportado gracias a **Pydantic**, ya que tiene <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">soporte interno para `dataclasses`</a>.
 
@@ -32,7 +32,7 @@ Pero si tienes un montón de dataclasses por ahí, este es un buen truco para us
 
 También puedes usar `dataclasses` en el parámetro `response_model`:
 
-{* ../../docs_src/dataclasses/tutorial002_py310.py hl[1,6:12,18] *}
+{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}
 
 El dataclass será automáticamente convertido a un dataclass de Pydantic.
 
@@ -48,7 +48,7 @@ En algunos casos, todavía podrías tener que usar la versión de `dataclasses`
 
 En ese caso, simplemente puedes intercambiar los `dataclasses` estándar con `pydantic.dataclasses`, que es un reemplazo directo:
 
-{* ../../docs_src/dataclasses/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
+{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
 
 1. Todavía importamos `field` de los `dataclasses` estándar.
 

docs/es/docs/how-to/graphql.md

@@ -35,7 +35,7 @@ Dependiendo de tu caso de uso, podrías preferir usar un paquete diferente, pero
 
 Aquí tienes una pequeña vista previa de cómo podrías integrar Strawberry con FastAPI:
 
-{* ../../docs_src/graphql/tutorial001_py39.py hl[3,22,25] *}
+{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}
 
 Puedes aprender más sobre Strawberry en la <a href="https://strawberry.rocks/" class="external-link" target="_blank">documentación de Strawberry</a>.
 

docs/pt/docs/advanced/dataclasses.md

@@ -4,7 +4,7 @@ FastAPI é construído em cima do **Pydantic**, e eu tenho mostrado como usar mo
 
 Mas o FastAPI também suporta o uso de <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> da mesma forma:
 
-{* ../../docs_src/dataclasses/tutorial001_py310.py hl[1,6:11,18:19] *}
+{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}
 
 Isso ainda é suportado graças ao **Pydantic**, pois ele tem <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">suporte interno para `dataclasses`</a>.
 
@@ -32,7 +32,7 @@ Mas se você tem um monte de dataclasses por aí, este é um truque legal para u
 
 Você também pode usar `dataclasses` no parâmetro `response_model`:
 
-{* ../../docs_src/dataclasses/tutorial002_py310.py hl[1,6:12,18] *}
+{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}
 
 A dataclass será automaticamente convertida para uma dataclass Pydantic.
 
@@ -48,7 +48,7 @@ Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `datacl
 
 Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:
 
-{* ../../docs_src/dataclasses/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
+{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
 
 1. Ainda importamos `field` das `dataclasses` padrão.
 

docs/pt/docs/how-to/graphql.md

@@ -35,7 +35,7 @@ Dependendo do seu caso de uso, você pode preferir usar uma biblioteca diferente
 
 Aqui está uma pequena prévia de como você poderia integrar Strawberry com FastAPI:
 
-{* ../../docs_src/graphql/tutorial001_py39.py hl[3,22,25] *}
+{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}
 
 Você pode aprender mais sobre Strawberry na <a href="https://strawberry.rocks/" class="external-link" target="_blank">documentação do Strawberry</a>.
 

docs/ru/docs/advanced/dataclasses.md

@@ -4,7 +4,7 @@ FastAPI построен поверх **Pydantic**, и я показывал в
 
 Но FastAPI также поддерживает использование <a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a> тем же способом:
 
-{* ../../docs_src/dataclasses/tutorial001_py310.py hl[1,6:11,18:19] *}
+{* ../../docs_src/dataclasses_/tutorial001_py310.py hl[1,6:11,18:19] *}
 
 Это по-прежнему поддерживается благодаря **Pydantic**, так как в нём есть <a href="https://docs.pydantic.dev/latest/concepts/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">встроенная поддержка `dataclasses`</a>.
 
@@ -32,7 +32,7 @@ FastAPI построен поверх **Pydantic**, и я показывал в
 
 Вы также можете использовать `dataclasses` в параметре `response_model`:
 
-{* ../../docs_src/dataclasses/tutorial002_py310.py hl[1,6:12,18] *}
+{* ../../docs_src/dataclasses_/tutorial002_py310.py hl[1,6:12,18] *}
 
 Этот dataclass будет автоматически преобразован в Pydantic dataclass.
 
@@ -48,7 +48,7 @@ FastAPI построен поверх **Pydantic**, и я показывал в
 
 В таком случае вы можете просто заменить стандартные `dataclasses` на `pydantic.dataclasses`, которая является полностью совместимой заменой (drop-in replacement):
 
-{* ../../docs_src/dataclasses/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
+{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}
 
 1. Мы по-прежнему импортируем `field` из стандартных `dataclasses`.
 

docs/ru/docs/how-to/graphql.md

@@ -35,7 +35,7 @@
 
 Вот небольшой пример того, как можно интегрировать Strawberry с FastAPI:
 
-{* ../../docs_src/graphql/tutorial001_py39.py hl[3,22,25] *}
+{* ../../docs_src/graphql_/tutorial001_py39.py hl[3,22,25] *}
 
 Подробнее о Strawberry можно узнать в <a href="https://strawberry.rocks/" class="external-link" target="_blank">документации Strawberry</a>.
 

docs/zh/docs/advanced/dataclasses.md

@@ -4,7 +4,7 @@ FastAPI 基于 **Pydantic** 构建，前文已经介绍过如何使用 Pydantic
 
 但 FastAPI 还可以使用数据类（<a href="https://docs.python.org/3/library/dataclasses.html" class="external-link" target="_blank">`dataclasses`</a>）：
 
-{* ../../docs_src/dataclasses/tutorial001.py hl[1,7:12,19:20] *}
+{* ../../docs_src/dataclasses_/tutorial001.py hl[1,7:12,19:20] *}
 
 这还是借助于 **Pydantic** 及其<a href="https://pydantic-docs.helpmanual.io/usage/dataclasses/#use-of-stdlib-dataclasses-with-basemodel" class="external-link" target="_blank">内置的 `dataclasses`</a>。
 
@@ -32,7 +32,7 @@ FastAPI 基于 **Pydantic** 构建，前文已经介绍过如何使用 Pydantic
 
 在 `response_model` 参数中使用 `dataclasses`：
 
-{* ../../docs_src/dataclasses/tutorial002.py hl[1,7:13,19] *}
+{* ../../docs_src/dataclasses_/tutorial002.py hl[1,7:13,19] *}
 
 本例把数据类自动转换为 Pydantic 数据类。
 
@@ -49,7 +49,7 @@ API 文档中也会显示相关概图：
 本例把标准的 `dataclasses` 直接替换为 `pydantic.dataclasses`：
 
 ```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
-{!../../docs_src/dataclasses/tutorial003.py!}
+{!../../docs_src/dataclasses_/tutorial003.py!}
 ```
 
 1. 本例依然要从标准的 `dataclasses` 中导入 `field`；

tests/test_tutorial/test_dataclasses/test_tutorial001.py

@@ -15,7 +15,7 @@ from tests.utils import needs_py310
     ],
 )
 def get_client(request: pytest.FixtureRequest):
-    mod = importlib.import_module(f"docs_src.dataclasses.{request.param}")
+    mod = importlib.import_module(f"docs_src.dataclasses_.{request.param}")
 
     client = TestClient(mod.app)
     client.headers.clear()

tests/test_tutorial/test_dataclasses/test_tutorial002.py

@@ -15,7 +15,7 @@ from tests.utils import needs_py310
     ],
 )
 def get_client(request: pytest.FixtureRequest):
-    mod = importlib.import_module(f"docs_src.dataclasses.{request.param}")
+    mod = importlib.import_module(f"docs_src.dataclasses_.{request.param}")
 
     client = TestClient(mod.app)
     client.headers.clear()

tests/test_tutorial/test_dataclasses/test_tutorial003.py

@@ -14,7 +14,7 @@ from ...utils import needs_py310, needs_pydanticv1, needs_pydanticv2
     ],
 )
 def get_client(request: pytest.FixtureRequest):
-    mod = importlib.import_module(f"docs_src.dataclasses.{request.param}")
+    mod = importlib.import_module(f"docs_src.dataclasses_.{request.param}")
 
     client = TestClient(mod.app)
     client.headers.clear()

tests/test_tutorial/test_graphql/test_tutorial001.py

@@ -1,7 +1,7 @@
 import pytest
 from starlette.testclient import TestClient
 
-from docs_src.graphql.tutorial001_py39 import app
+from docs_src.graphql_.tutorial001_py39 import app
 
 
 @pytest.fixture(name="client")