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docs/en/docs/python-types.md
These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types. To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints. #### Newer versions of Python
Registered: Sun Nov 03 07:19:11 UTC 2024 - Last Modified: Sat Oct 26 11:47:53 UTC 2024 - 16.7K bytes - Viewed (0) -
docs/de/docs/features.md
Wenn Sie eine zweiminütige Auffrischung benötigen, wie man Python-Typen verwendet (auch wenn Sie FastAPI nicht benutzen), schauen Sie sich das kurze Tutorial an: [Einführung in Python-Typen](python-types.md){.internal-link target=_blank}. Sie schreiben Standard-Python mit Typen: ```Python from typing import List, Dict from datetime import date from pydantic import BaseModel
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architecture/standards/0003-avoid-introducing-Groovy-types-to-public-api.md
# ADR-0003 - Avoid introducing Groovy types to public API ## Date 2024-01-12 ## Context Gradle's public API requires equal access from all JVM-based languages. Kotlin, Groovy, Java, and other JVM-based languages should be able to use the Gradle API without relying on another language's standard library. Historically, Gradle has shipped with some Groovy types in very prominent APIs.
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docs/de/docs/tutorial/extra-models.md
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fastapi/dependencies/utils.py
is_bytes_sequence_field(field) and isinstance(first_field_info, params.File) and value_is_sequence(value) ): # For types assert isinstance(value, sequence_types) # type: ignore[arg-type] results: List[Union[bytes, str]] = [] async def process_fn( fn: Callable[[], Coroutine[Any, Any, Any]], ) -> None:
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docs/en/docs/contributing.md
```console $ mkdocs serve --dev-addr 8008 ``` /// #### Typer CLI (optional) The instructions here show you how to use the script at `./scripts/docs.py` with the `python` program directly. But you can also use <a href="https://typer.tiangolo.com/typer-cli/" class="external-link" target="_blank">Typer CLI</a>, and you will get autocompletion in your terminal for the commands after installing completion.
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fastapi/openapi/models.py
class SecurityBase(BaseModelWithConfig): type_: SecuritySchemeType = Field(alias="type") description: Optional[str] = None class APIKeyIn(Enum): query = "query" header = "header" cookie = "cookie" class APIKey(SecurityBase): type_: SecuritySchemeType = Field(default=SecuritySchemeType.apiKey, alias="type") in_: APIKeyIn = Field(alias="in") name: str
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docs/pl/docs/index.md
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docs/de/docs/tutorial/body.md
{!> ../../docs_src/body/tutorial001.py!} ``` //// ## Erstellen Sie Ihr Datenmodell Dann deklarieren Sie Ihr Datenmodell als eine Klasse, die von `BaseModel` erbt. Verwenden Sie Standard-Python-Typen für die Klassenattribute: //// tab | Python 3.10+ ```Python hl_lines="5-9" {!> ../../docs_src/body/tutorial001_py310.py!} ``` //// //// tab | Python 3.8+ ```Python hl_lines="7-11"
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docs/ru/docs/tutorial/extra-data-types.md
* `Decimal`: * Встроенный в Python `Decimal`. * В запросах и ответах обрабатывается так же, как и `float`. * Вы можете проверить все допустимые типы данных pydantic здесь: <a href="https://docs.pydantic.dev/latest/concepts/types/" class="external-link" target="_blank">Типы данных Pydantic</a>. ## Пример Вот пример *операции пути* с параметрами, который демонстрирует некоторые из вышеперечисленных типов. //// tab | Python 3.8 и выше
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