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docs/en/docs/tutorial/path-params-numeric-validations.md
``` ## Number validations: floats, greater than and less than Number validations also work for `float` values. Here's where it becomes important to be able to declare <abbr title="greater than"><code>gt</code></abbr> and not just <abbr title="greater than or equal"><code>ge</code></abbr>. As with it you can require, for example, that a value must be greater than `0`, even if it is less than `1`.
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docs/ja/docs/tutorial/path-params-numeric-validations.md
また、数値のバリデーションを宣言することもできます: * `gt`: より大きい(`g`reater `t`han) * `ge`: 以上(`g`reater than or `e`qual) * `lt`: より小さい(`l`ess `t`han) * `le`: 以下(`l`ess than or `e`qual) !!! info "情報" `Query`、`Path`などは後に共通の`Param`クラスのサブクラスを見ることになります。(使う必要はありません) そして、それらすべては、これまで見てきた追加のバリデーションとメタデータと同じパラメータを共有しています。
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tests/test_tutorial/test_body_fields/test_tutorial001_an_py310.py
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tests/test_multi_body_errors.py
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docs/en/docs/advanced/testing-dependencies.md
You send it a token and it returns an authenticated user. This provider might be charging you per request, and calling it might take some extra time than if you had a fixed mock user for tests. You probably want to test the external provider once, but not necessarily call it for every test that runs.
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docs/en/docs/tutorial/header-params.md
You can define those cases using a list in the type declaration. You will receive all the values from the duplicate header as a Python `list`. For example, to declare a header of `X-Token` that can appear more than once, you can write: === "Python 3.10+" ```Python hl_lines="9" {!> ../../../docs_src/header_params/tutorial003_an_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="9"
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docs/en/docs/advanced/events.md
```Python hl_lines="8" {!../../../docs_src/events/tutorial001.py!} ``` In this case, the `startup` event handler function will initialize the items "database" (just a `dict`) with some values. You can add more than one event handler function. And your application won't start receiving requests until all the `startup` event handlers have completed. ### `shutdown` event
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docs/en/docs/how-to/separate-openapi-schemas.md
# Separate OpenAPI Schemas for Input and Output or Not When using **Pydantic v2**, the generated OpenAPI is a bit more exact and **correct** than before. 😎 In fact, in some cases, it will even have **two JSON Schemas** in OpenAPI for the same Pydantic model, for input and output, depending on if they have **default values**. Let's see how that works and how to change it if you need to do that. ## Pydantic Models for Input and Output
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docs/en/docs/tutorial/dependencies/classes-as-dependencies.md
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docs/en/docs/tutorial/sql-databases.md
# SQL (Relational) Databases !!! info These docs are about to be updated. 🎉 The current version assumes Pydantic v1, and SQLAlchemy versions less than 2.0. The new docs will include Pydantic v2 and will use <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a> (which is also based on SQLAlchemy) once it is updated to use Pydantic v2 as well. **FastAPI** doesn't require you to use a SQL (relational) database.
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