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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/ko/docs/features.md
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CREDITS
limitations under the License. ================================================================ github.com/Azure/go-autorest/autorest/date https://github.com/Azure/go-autorest/autorest/date ---------------------------------------------------------------- Apache License Version 2.0, January 2004
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okhttp/src/main/kotlin/okhttp3/CacheControl.kt
*/ @get:JvmName("noCache") val noCache: Boolean, /** If true, this response should not be cached. */ @get:JvmName("noStore") val noStore: Boolean, /** The duration past the response's served date that it can be served without validation. */ @get:JvmName("maxAgeSeconds") val maxAgeSeconds: Int, /** * The "s-maxage" directive is the max age for shared caches. Not to be confused with "max-age"
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go.sum
github.com/Azure/go-autorest/autorest v0.9.0/go.mod h1:xyHB1BMZT0cuDHU7I0+g046+BFDTQ8rEZB0s4Yfa6bI= github.com/Azure/go-autorest/autorest/adal v0.5.0/go.mod h1:8Z9fGy2MpX0PvDjB1pEgQTmVqjGhiHBW7RJJEciWzS0= github.com/Azure/go-autorest/autorest/date v0.1.0/go.mod h1:plvfp3oPSKwf2DNjlBjWF/7vwR+cUD/ELuzDCXwHUVA= github.com/Azure/go-autorest/autorest/mocks v0.1.0/go.mod h1:OTyCOPRA2IgIlWxVYxBee2F5Gr4kF2zd2J5cFRaIDN0=
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RELEASE.md
optimizer. * **Learning rate schedule access.** When using a `LearningRateSchedule`, The new optimizer's `learning_rate` property returns the current learning rate value instead of a `LearningRateSchedule` object as before. If you need to access the `LearningRateSchedule` object, please use `optimizer._learning_rate`.
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docs/en/docs/features.md
You write standard Python with types: ```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 ``` That can then be used like: ```Python
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docs/pt/docs/features.md
Você escreve Python padrão com tipos: ```Python from datetime import date from pydantic import BaseModel # Declare uma variável como str # e obtenha suporte do editor dentro da função def main(user_id: str): return user_id # Um modelo do Pydantic class User(BaseModel): id: int name: str joined: date ``` Que então pode ser usado como: ```Python
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docs/fr/docs/features.md
```Python from datetime import date from pydantic import BaseModel # Déclare une variable comme étant une str # et profitez de l'aide de votre IDE dans cette fonction def main(user_id: str): return user_id # Un modèle Pydantic class User(BaseModel): id: int name: str joined: date ``` Qui peuvent ensuite être utilisés comme cela: ```Python
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