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api/go1.12.txt
pkg syscall (openbsd-amd64), const S_IRWXO = 7 pkg syscall (openbsd-amd64), const S_IRWXO ideal-int pkg syscall (openbsd-amd64-cgo), const S_IRWXG = 56 pkg syscall (openbsd-amd64-cgo), const S_IRWXG ideal-int pkg syscall (openbsd-amd64-cgo), const S_IRWXO = 7 pkg syscall (openbsd-amd64-cgo), const S_IRWXO ideal-int pkg syscall (windows-386), const UNIX_PATH_MAX = 108 pkg syscall (windows-386), const UNIX_PATH_MAX ideal-int
Plain Text - Registered: Tue Apr 30 11:13:12 GMT 2024 - Last Modified: Wed Jan 02 21:21:53 GMT 2019 - 13.5K bytes - Viewed (0) -
docs/de/docs/tutorial/response-model.md
Zum Beispiel könnten Sie **ein Dict zurückgeben** wollen, oder ein Datenbank-Objekt, aber **es als Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).
Plain Text - Registered: Sun Apr 28 07:19:10 GMT 2024 - Last Modified: Sat Mar 30 20:26:58 GMT 2024 - 19.9K bytes - Viewed (0) -
docs/de/docs/advanced/events.md
Stellen wir uns vor, dass das Laden des Modells **eine ganze Weile dauern** kann, da viele **Daten von der Festplatte** gelesen werden müssen. Sie möchten das also nicht für jeden Request tun.
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api/go1.1.txt
pkg syscall (darwin-386), const B14400 = 14400 pkg syscall (darwin-386), const B14400 ideal-int pkg syscall (darwin-386), const B150 = 150 pkg syscall (darwin-386), const B150 ideal-int pkg syscall (darwin-386), const B1800 = 1800 pkg syscall (darwin-386), const B1800 ideal-int pkg syscall (darwin-386), const B19200 = 19200 pkg syscall (darwin-386), const B19200 ideal-int pkg syscall (darwin-386), const B200 = 200
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docs/de/docs/features.md
from pydantic import BaseModel # Deklarieren Sie eine Variable als ein `str` # und bekommen Sie Editor-Unterstütung innerhalb der Funktion def main(user_id: str): return user_id # Ein Pydantic-Modell class User(BaseModel): id: int name: str joined: date ``` Das kann nun wie folgt verwendet werden: ```Python my_user: User = User(id=3, name="John Doe", joined="2018-07-19")
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Dockerfile.release.old_cpu
description="MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads." ENV MINIO_ACCESS_KEY_FILE=access_key \ MINIO_SECRET_KEY_FILE=secret_key \
Plain Text - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Sat Mar 30 09:41:56 GMT 2024 - 2.8K bytes - Viewed (0) -
docs/en/docs/deployment/https.md
* Otherwise, you might have to stop the TLS Termination Proxy momentarily, start the renewal program to acquire the certificates, then configure them with the TLS Termination Proxy, and then restart the TLS Termination Proxy. This is not ideal, as your app(s) will not be available during the time that the TLS Termination Proxy is off.
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docs/en/docs/tutorial/security/oauth2-jwt.md
--- **FastAPI** doesn't make any compromise with any database, data model or tool. It gives you all the flexibility to choose the ones that fit your project the best. And you can use directly many well maintained and widely used packages like `passlib` and `python-jose`, because **FastAPI** doesn't require any complex mechanisms to integrate external packages.
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LICENSE
encourage the widest possible use of a certain library, so that it becomes a de-facto standard. To achieve this, non-free programs must be allowed to use the library. A more frequent case is that a free library does the same job as widely used non-free libraries. In this case, there is little to gain by limiting the free library to free software only, so we use the Lesser General Public License.
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CHANGELOG/CHANGELOG-1.6.md
* **[stable]** Volume plugin for ScaleIO enabling pods to seamlessly access and use data stored on Dell EMC ScaleIO volumes.
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