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docs/pt/docs/tutorial/body-nested-models.md
## Modelos aninhados Cada atributo de um modelo Pydantic tem um tipo. Mas esse tipo pode ser outro modelo Pydantic. Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos. Tudo isso, aninhado arbitrariamente. ### Defina um sub-modelo Por exemplo, nós podemos definir um modelo `Image`: ```Python hl_lines="9-11"
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirSymbolContainingDeclarationProvider.kt
} if (firSymbol.origin == FirDeclarationOrigin.DynamicScope) { // A callable declaration from dynamic scope has no containing declaration as it comes from a dynamic type // which is not based on a specific classifier return null } } is KtClassLikeSymbol -> {
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docs/en/docs/tutorial/testing.md
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docs/em/docs/tutorial/query-params.md
* `limit`: ⏮️ 💲 `10` 👫 🍕 📛, 👫 "🛎" 🎻. ✋️ 🕐❔ 👆 📣 👫 ⏮️ 🐍 🆎 (🖼 🔛, `int`), 👫 🗜 👈 🆎 & ✔ 🛡 ⚫️. 🌐 🎏 🛠️ 👈 ⚖ ➡ 🔢 ✔ 🔢 🔢: * 👨🎨 🐕🦺 (🎲) * 💽 <abbr title="converting the string that comes from an HTTP request into Python data">"✍"</abbr> * 💽 🔬 * 🏧 🧾 ## 🔢 🔢 🔢 🚫 🔧 🍕 ➡, 👫 💪 📦 & 💪 ✔️ 🔢 💲. 🖼 🔛 👫 ✔️ 🔢 💲 `skip=0` & `limit=10`. , 🔜 📛: ```
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internal/grid/muxclient.go
} // Send new ping. gridLogIf(m.ctx, m.send(message{Op: OpPing, MuxID: m.MuxID})) } } } // responseCh is the channel to that goes to the requester. // internalResp is the channel that comes from the server. func (m *muxClient) handleTwowayResponses(responseCh chan<- Response, internalResp <-chan Response) { defer m.parent.deleteMux(false, m.MuxID) defer xioutil.SafeClose(responseCh)
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docs/en/docs/tutorial/extra-models.md
=== "Python 3.10+" ```Python hl_lines="1 14-15 18-20 33" {!> ../../../docs_src/extra_models/tutorial003_py310.py!} ``` === "Python 3.8+"
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docs/pt/docs/features.md
Você terá completação do seu código que você poderia considerar impossível antes. Como por exemplo, a chave `price` dentro do corpo JSON (que poderia ter sido aninhado) que vem de uma requisição. Sem a necessidade de digitar nomes de chaves erroneamente, ir e voltar entre documentações, ou rolar pela página para descobrir se você utilizou `username` or `user_name`. ### Breve
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docs/pt/docs/tutorial/path-params.md
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docs/en/docs/tutorial/security/oauth2-jwt.md
But it's signed. So, when you receive a token that you emitted, you can verify that you actually emitted it. That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.
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docs/en/docs/advanced/settings.md
### Install `pydantic-settings` First, install the `pydantic-settings` package: <div class="termy"> ```console $ pip install pydantic-settings ---> 100% ``` </div> It also comes included when you install the `all` extras with: <div class="termy"> ```console $ pip install "fastapi[all]" ---> 100% ``` </div> !!! info
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