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docs/de/docs/tutorial/path-params.md
```JSON { "detail": [ { "type": "int_parsing", "loc": [ "path", "item_id" ], "msg": "Input should be a valid integer, unable to parse string as an integer", "input": "foo", "url": "https://errors.pydantic.dev/2.1/v/int_parsing" } ] } ``` Der Pfad-Parameter `item_id` hatte den Wert `"foo"`, was kein `int` ist.
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docs/fr/docs/async.md
Ensuite, il 🤖 prendra la première tâche à finir (disons, notre "fichier-lent" 📝) et continuera à faire avec cette dernière ce qu'il était censé. Ce "attendre quelque chose d'autre" fait généralement référence à des opérations <abbr title="Input/Output ou Entrées et Sorties ">I/O</abbr> qui sont relativement "lentes" (comparées à la vitesse du processeur et de la mémoire RAM) telles qu'attendre que : * de la donnée soit envoyée par le client à travers le réseau
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docs/en/docs/how-to/async-sql-encode-databases.md
* Notes to be created (`NoteIn`). * Notes to be returned (`Note`). ```Python hl_lines="31-33 36-39" {!../../../docs_src/async_sql_databases/tutorial001.py!} ``` By creating these Pydantic models, the input data will be validated, serialized (converted), and annotated (documented). So, you will be able to see it all in the interactive API docs. ## Connect and disconnect * Create your `FastAPI` application.
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docs/it/docs/index.md
* Errori chiari e automatici quando i dati sono invalidi. * Validazione anche per gli oggetti JSON più complessi. * <abbr title="anche noto come: serializzazione, parsing, marshalling">Conversione</abbr> dei dati di input: da risorse esterne a dati e tipi di Python. È possibile leggere da: * JSON. * Path parameters. * Query parameters. * Cookies. * Headers. * Form. * File.
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tests/test_tutorial/test_request_forms_and_files/test_tutorial001.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 9.8K bytes - Viewed (0) -
docs_src/request_files/tutorial003_an_py39.py
@app.get("/") async def main(): content = """ <body> <form action="/files/" enctype="multipart/form-data" method="post"> <input name="files" type="file" multiple> <input type="submit"> </form> <form action="/uploadfiles/" enctype="multipart/form-data" method="post"> <input name="files" type="file" multiple> <input type="submit"> </form> </body> """
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 952 bytes - Viewed (0) -
docs_src/websockets/tutorial003_py39.py
message.appendChild(content) messages.appendChild(message) }; function sendMessage(event) { var input = document.getElementById("messageText") ws.send(input.value) input.value = '' event.preventDefault() } </script> </body> </html> """ class ConnectionManager:
Python - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 18 12:29:59 GMT 2023 - 2.5K bytes - Viewed (0) -
tests/test_tutorial/test_query_params/test_tutorial006.py
Python - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Thu Apr 18 19:40:57 GMT 2024 - 6.1K bytes - Viewed (0) -
docs/de/docs/advanced/events.md
!!! tip "Tipp" Beachten Sie, dass wir in diesem Fall eine Standard-Python-Funktion `open()` verwenden, die mit einer Datei interagiert. Es handelt sich also um I/O (Input/Output), welches „Warten“ erfordert, bis Dinge auf die Festplatte geschrieben werden. Aber `open()` verwendet nicht `async` und `await`.
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docs/pt/docs/advanced/events.md
!!! tip "Dica" Perceba que nesse caso nós estamos usando a função padrão do Python `open()` que interage com um arquivo. Então, isso envolve I/O (input/output), que exige "esperar" que coisas sejam escritas em disco. Mas `open()` não usa `async` e `await`. Então, nós declaramos uma função de manipulação de evento com o padrão `def` ao invés de `async def`.
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