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docs/em/docs/advanced/settings.md
rect rgba(0, 255, 0, .1) code ->> function: say_hi(name="Rick") function ->> execute: execute function code execute ->> code: return the result end rect rgba(0, 255, 0, .1) code ->> function: say_hi(name="Rick", salutation="Mr.") function ->> execute: execute function code execute ->> code: return the result end rect rgba(0, 255, 255, .1)
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docs/en/docs/benchmarks.md
* **Starlette**: * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code. * But it provides you the tools to build simple web applications, with routing based on paths, etc. * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks).
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scripts/playwright/separate_openapi_schemas/image02.py
page = context.new_page() page.goto("http://localhost:8000/docs") page.get_by_text("GET/items/Read Items").click() page.get_by_role("button", name="Try it out").click() page.get_by_role("button", name="Execute").click() page.screenshot( path="docs/en/docs/img/tutorial/separate-openapi-schemas/image02.png" ) # --------------------- context.close() browser.close()
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docs/en/docs/tutorial/testing.md
After that, you just need to install `pytest`: <div class="termy"> ```console $ pip install pytest ---> 100% ``` </div> It will detect the files and tests automatically, execute them, and report the results back to you. Run the tests with: <div class="termy"> ```console $ pytest ================ test session starts ================
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docs/pt/docs/tutorial/background-tasks.md
Eles tendem a exigir configurações mais complexas, um gerenciador de fila de mensagens/tarefas, como RabbitMQ ou Redis, mas permitem que você execute tarefas em segundo plano em vários processos e, especialmente, em vários servidores. Para ver um exemplo, verifique os [Geradores de projeto](../project-generation.md){.internal-link target=\_blank}, todos incluem celery já configurado.
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docs/pl/docs/index.md
* Kliknij przycisk "Try it out" (wypróbuj), pozwoli Ci to wypełnić parametry i bezpośrednio użyć API: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png) * Kliknij potem przycisk "Execute" (wykonaj), interfejs użytkownika połączy się z API, wyśle parametry, otrzyma odpowiedź i wyświetli ją na ekranie: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)
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docs/ru/docs/index.md
* Нажмите на кнопку "Try it out", это позволит вам заполнить параметры и напрямую взаимодействовать с API: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png) * Затем нажмите кнопку "Execute", пользовательский интерфейс свяжется с вашим API, отправит параметры, получит результаты и отобразит их на экране: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)
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docs/it/docs/index.md
![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png) * Successivamente, premi sul pulsante "Execute". L'interfaccia utente comunicherà con la tua API, invierà i parametri, riceverà i risultati della richiesta, e li mostrerà sullo schermo: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png)
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docs/zh/docs/index.md
![Swagger UI](https://fastapi.tiangolo.com/img/index/index-03-swagger-02.png) * 点击「Try it out」按钮,之后你可以填写参数并直接调用 API: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-04-swagger-03.png) * 然后点击「Execute」按钮,用户界面将会和 API 进行通信,发送参数,获取结果并在屏幕上展示: ![Swagger UI interaction](https://fastapi.tiangolo.com/img/index/index-05-swagger-04.png) ### 可选文档升级
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docs/en/docs/advanced/settings.md
``` your program could execute like this: ```mermaid sequenceDiagram participant code as Code participant function as say_hi() participant execute as Execute function rect rgba(0, 255, 0, .1) code ->> function: say_hi(name="Camila") function ->> execute: execute function code execute ->> code: return the result end
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