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common-protos/k8s.io/api/apps/v1/generated.proto
// +optional optional DaemonSetSpec spec = 2; // The current status of this daemon set. This data may be // out of date by some window of time. // Populated by the system. // Read-only. // More info: https://git.k8s.io/community/contributors/devel/sig-architecture/api-conventions.md#spec-and-status // +optional
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docs/en/docs/tutorial/extra-data-types.md
* `datetime.datetime`: * A Python `datetime.datetime`. * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15T15:53:00+05:00`. * `datetime.date`: * Python `datetime.date`. * In requests and responses will be represented as a `str` in ISO 8601 format, like: `2008-09-15`. * `datetime.time`: * A Python `datetime.time`.
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common-protos/k8s.io/api/apidiscovery/v2beta1/generated.proto
// freshness marks whether a group version's discovery document is up to date. // "Current" indicates the discovery document was recently // refreshed. "Stale" indicates the discovery document could not // be retrieved and the returned discovery document may be // significantly out of date. Clients that require the latest // version of the discovery information be retrieved before
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docs/extensions/s3zip/README.md
## Contents properties All properties except the file size are tied to the zip file. This means that modification date, headers, tags, etc. can only be set for the zip file as a whole. In similar fashion, replication will replicate the zip file as a whole and not individual files. ## Code Examples
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docs/pl/docs/features.md
Wystarczy, że napiszesz standardowe deklaracje typów Pythona: ```Python from datetime import date from pydantic import BaseModel # Zadeklaruj parametr jako str # i uzyskaj wsparcie edytora wewnątrz funkcji def main(user_id: str): return user_id # Model Pydantic class User(BaseModel): id: int name: str joined: date ``` A one będą mogły zostać później użyte w następujący sposób: ```Python
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docs/ru/docs/features.md
```Python from datetime import date from pydantic import BaseModel # Объявляем параметр user_id с типом `str` # и получаем поддержку редактора внутри функции def main(user_id: str): return user_id # Модель Pydantic class User(BaseModel): id: int name: str joined: date ``` Это можно использовать так: ```Python
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docs/es/docs/features.md
Escribes Python estándar con tipos así: ```Python from datetime import date from pydantic import BaseModel # Declaras la variable como un str # y obtienes soporte del editor dentro de la función def main(user_id: str): return user_id # Un modelo de Pydantic class User(BaseModel): id: int name: str joined: date ``` Este puede ser usado como: ```Python
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docs/fa/docs/features.md
شما پایتون استاندارد را با استفاده از تایپ ها مینویسید: ```Python from datetime import date from pydantic import BaseModel # Declare a variable as a str # and get editor support inside the function def main(user_id: str): return user_id # A Pydantic model class User(BaseModel): id: int name: str joined: date ``` که سپس میتوان به این شکل از آن استفاده کرد: ```Python
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docs/ko/docs/features.md
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common-protos/k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto
// This is an alpha feature and may change or be removed in the future. // The field is populated by the apiserver only if the // StorageVersionHash feature gate is enabled. // This field will remain optional even if it graduates. // +optional optional string storageVersionHash = 10; } // APIResourceList is a list of APIResource, it is used to expose the name of the
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