diff --git a/docs/de/docs/features.md b/docs/de/docs/features.md index a92a2bfeb..767a17073 100644 --- a/docs/de/docs/features.md +++ b/docs/de/docs/features.md @@ -193,7 +193,7 @@ Mit **FastAPI** bekommen Sie alle Funktionen von **Pydantic** (da FastAPI für d * Gutes Zusammenspiel mit Ihrer/Ihrem **IDE/linter/Gehirn**: * Weil Datenstrukturen von Pydantic einfach nur Instanzen ihrer definierten Klassen sind, sollten Autovervollständigung, Linting, mypy und ihre Intuition einwandfrei funktionieren. * **Schnell**: - * In Vergleichen ist Pydantic schneller als jede andere getestete Bibliothek. + * In Vergleichen ist Pydantic schneller als jede andere getestete Bibliothek. * Validierung von **komplexen Strukturen**: * Benutzung von hierachischen Pydantic Schemata, Python `typing`’s `List` und `Dict`, etc. * Validierungen erlauben klare und einfache Datenschemadefinition, überprüft und dokumentiert als JSON Schema. diff --git a/docs/en/docs/features.md b/docs/en/docs/features.md index 36f80783a..e4672d532 100644 --- a/docs/en/docs/features.md +++ b/docs/en/docs/features.md @@ -190,7 +190,7 @@ With **FastAPI** you get all of **Pydantic**'s features (as FastAPI is based on * Plays nicely with your **IDE/linter/brain**: * Because pydantic data structures are just instances of classes you define; auto-completion, linting, mypy and your intuition should all work properly with your validated data. * **Fast**: - * in benchmarks Pydantic is faster than all other tested libraries. + * in benchmarks Pydantic is faster than all other tested libraries. * Validate **complex structures**: * Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc. * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema. diff --git a/docs/en/docs/tutorial/extra-data-types.md b/docs/en/docs/tutorial/extra-data-types.md index a00bd3212..fb3efd318 100644 --- a/docs/en/docs/tutorial/extra-data-types.md +++ b/docs/en/docs/tutorial/extra-data-types.md @@ -36,7 +36,7 @@ Here are some of the additional data types you can use: * `datetime.timedelta`: * A Python `datetime.timedelta`. * In requests and responses will be represented as a `float` of total seconds. - * Pydantic also allows representing it as a "ISO 8601 time diff encoding", see the docs for more info. + * Pydantic also allows representing it as a "ISO 8601 time diff encoding", see the docs for more info. * `frozenset`: * In requests and responses, treated the same as a `set`: * In requests, a list will be read, eliminating duplicates and converting it to a `set`. diff --git a/docs/en/docs/tutorial/handling-errors.md b/docs/en/docs/tutorial/handling-errors.md index 82e166266..8c30326ce 100644 --- a/docs/en/docs/tutorial/handling-errors.md +++ b/docs/en/docs/tutorial/handling-errors.md @@ -163,7 +163,7 @@ path -> item_id !!! warning These are technical details that you might skip if it's not important for you now. -`RequestValidationError` is a sub-class of Pydantic's `ValidationError`. +`RequestValidationError` is a sub-class of Pydantic's `ValidationError`. **FastAPI** uses it so that, if you use a Pydantic model in `response_model`, and your data has an error, you will see the error in your log. diff --git a/docs/en/docs/tutorial/sql-databases.md b/docs/en/docs/tutorial/sql-databases.md index 60c7fb066..15ad71eb5 100644 --- a/docs/en/docs/tutorial/sql-databases.md +++ b/docs/en/docs/tutorial/sql-databases.md @@ -317,7 +317,7 @@ Not only the IDs of those items, but all the data that we defined in the Pydanti Now, in the Pydantic *models* for reading, `Item` and `User`, add an internal `Config` class. -This `Config` class is used to provide configurations to Pydantic. +This `Config` class is used to provide configurations to Pydantic. In the `Config` class, set the attribute `orm_mode = True`. diff --git a/docs/es/docs/features.md b/docs/es/docs/features.md index 945b2cc94..3c59eb88c 100644 --- a/docs/es/docs/features.md +++ b/docs/es/docs/features.md @@ -191,7 +191,7 @@ Con **FastAPI** obtienes todas las características de **Pydantic** (dado que Fa * Interactúa bien con tu **IDE/linter/cerebro**: * Porque las estructuras de datos de Pydantic son solo instances de clases que tu defines, el auto-completado, el linting, mypy y tu intuición deberían funcionar bien con tus datos validados. * **Rápido**: - * En benchmarks Pydantic es más rápido que todas las otras libraries probadas. + * En benchmarks Pydantic es más rápido que todas las otras libraries probadas. * Valida **estructuras complejas**: * Usa modelos jerárquicos de modelos de Pydantic, `typing` de Python, `List` y `Dict`, etc. * Los validadores también permiten que se definan fácil y claramente schemas complejos de datos. Estos son chequeados y documentados como JSON Schema. diff --git a/docs/fr/docs/features.md b/docs/fr/docs/features.md index 4d8f18403..4b00ecb6f 100644 --- a/docs/fr/docs/features.md +++ b/docs/fr/docs/features.md @@ -190,7 +190,7 @@ Avec **FastAPI** vous aurez toutes les fonctionnalités de **Pydantic** (comme * Aide votre **IDE/linter/cerveau**: * Parce que les structures de données de pydantic consistent seulement en une instance de classe que vous définissez; l'auto-complétion, le linting, mypy et votre intuition devrait être largement suffisante pour valider vos données. * **Rapide**: - * Dans les benchmarks Pydantic est plus rapide que toutes les autres librairies testées. + * Dans les benchmarks Pydantic est plus rapide que toutes les autres librairies testées. * Valide les **structures complexes**: * Utilise les modèles hiérarchique de Pydantic, le `typage` Python pour les `Lists`, `Dict`, etc. * Et les validateurs permettent aux schémas de données complexes d'être clairement et facilement définis, validés et documentés sous forme d'un schéma JSON. diff --git a/docs/ja/docs/features.md b/docs/ja/docs/features.md index 2c406f481..5ea68515d 100644 --- a/docs/ja/docs/features.md +++ b/docs/ja/docs/features.md @@ -193,7 +193,7 @@ FastAPIには非常に使いやすく、非常に強力なBenchmarklarda, Pydantic'in diğer bütün test edilmiş bütün kütüphanelerden daha hızlı. + * Benchmarklarda, Pydantic'in diğer bütün test edilmiş bütün kütüphanelerden daha hızlı. * **En kompleks** yapıları bile doğrula: * Hiyerarşik Pydantic modellerinin kullanımı ile beraber, Python `typing`’s `List` and `Dict`, vs gibi şeyleri doğrula. * Doğrulayıcılar en kompleks data şemalarının bile temiz ve kolay bir şekilde tanımlanmasına izin veriyor, ve hepsi JSON şeması olarak dokümante ediliyor diff --git a/docs/zh/docs/features.md b/docs/zh/docs/features.md index 4752947a3..2d5ba2982 100644 --- a/docs/zh/docs/features.md +++ b/docs/zh/docs/features.md @@ -195,7 +195,7 @@ FastAPI 有一个使用非常简单，但是非常强大的