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docs/ru/docs/tutorial/body-nested-models.md
=== "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ## Типы множеств
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docs/en/docs/release-notes.md
* 📝 Fix example code with sets in Tutorial - Body - Nested Models 3. PR [#2054](https://github.com/tiangolo/fastapi/pull/2054) by [@hitrust](https://github.com/hitrust). * 📝 Fix example code with sets in Tutorial - Body - Nested Models 2. PR [#2053](https://github.com/tiangolo/fastapi/pull/2053) by [@hitrust](https://github.com/hitrust).
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docs/de/docs/tutorial/body-nested-models.md
=== "Python 3.10+" ```Python hl_lines="12" {!> ../../../docs_src/body_nested_models/tutorial002_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002_py39.py!} ``` === "Python 3.8+" ```Python hl_lines="14" {!> ../../../docs_src/body_nested_models/tutorial002.py!} ``` ## Set-Typen
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tests/test_annotated.py
assert response.json() == {"foo": "baz"} def test_nested_router(): app = FastAPI() router = APIRouter(prefix="/nested") @router.get("/test") async def test(var: Annotated[str, Query()] = "bar"): return {"foo": var} app.include_router(router) client = TestClient(app) response = client.get("/nested/test") assert response.status_code == 200
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docs/en/docs/tutorial/index.md
It is also built to work as a future reference. So you can come back and see exactly what you need. ## Run the code All the code blocks can be copied and used directly (they are actually tested Python files). To run any of the examples, copy the code to a file `main.py`, and start `uvicorn` with: <div class="termy"> ```console $ uvicorn main:app --reload
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docs/tr/docs/features.md
![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png) Daha önceden düşünüp en imkansız diyebileceğin durumlarda bile otomatik tamamlama alacaksın, örnek olarak `price` JSON body içerisinde (nested bir JSON body de olabilirdi.) direkt olarak istekten geliyor, bu durumda bile oto-tammalama sağlıyor.
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docs/en/docs/index.md
* Check that it has an optional attribute `is_offer`, that should be a `bool`, if present. * All this would also work for deeply nested JSON objects. * Convert from and to JSON automatically. * Document everything with OpenAPI, that can be used by: * Interactive documentation systems. * Automatic client code generation systems, for many languages.
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docs/en/docs/alternatives.md
It's the most popular Python framework and is widely trusted. It is used to build systems like Instagram. It's relatively tightly coupled with relational databases (like MySQL or PostgreSQL), so, having a NoSQL database (like Couchbase, MongoDB, Cassandra, etc) as the main store engine is not very easy.
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tests/test_orjson_response_class.py
from fastapi import FastAPI from fastapi.responses import ORJSONResponse from fastapi.testclient import TestClient from sqlalchemy.sql.elements import quoted_name app = FastAPI(default_response_class=ORJSONResponse) @app.get("/orjson_non_str_keys") def get_orjson_non_str_keys(): key = quoted_name(value="msg", quote=False) return {key: "Hello World", 1: 1} client = TestClient(app) def test_orjson_non_str_keys():
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docs/en/docs/advanced/dataclasses.md
This way, its schema will show up in the API docs user interface: <img src="/img/tutorial/dataclasses/image01.png"> ## Dataclasses in Nested Data Structures You can also combine `dataclasses` with other type annotations to make nested data structures. In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.
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