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  1. doc/next/6-stdlib/99-minor/reflect/61308.md

    The [SliceAt(typ Type, p unsafe.Pointer, len int)] function
    returns a Value representing a slice whose underlying array starts
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  2. common-protos/k8s.io/apimachinery/pkg/apis/meta/v1/generated.proto

      // Valid operators are In, NotIn, Exists and DoesNotExist.
      optional string operator = 2;
    
      // values is an array of string values. If the operator is In or NotIn,
      // the values array must be non-empty. If the operator is Exists or DoesNotExist,
      // the values array must be empty. This array is replaced during a strategic
      // merge patch.
      // +optional
      repeated string values = 3;
    }
    
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  3. docs/zh/docs/advanced/dataclasses.md

        再一次,可以把 `dataclasses` 与标准类型注解一起使用;
    
    8. 注意,*路径操作函数*使用的是普通函数,不是异步函数;
    
        与往常一样,在 FastAPI 中,可以按需组合普通函数与异步函数;
    
        如果不清楚何时使用异步函数或普通函数,请参阅**急不可待?**一节中对 <a href="https://fastapi.tiangolo.com/async/#in-a-hurry" target="_blank" class="internal-link">`async` 与 `await`</a> 的说明;
    
    9. *路径操作函数*返回的不是数据类(虽然它可以返回数据类),而是返回内含数据的字典列表;
    
        FastAPI 使用(包含数据类的) `response_model` 参数转换响应。
    
    把 `dataclasses` 与其它类型注解组合在一起,可以组成不同形式的复杂数据结构。
    
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  4. analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirCallResolver.kt

                val leftOperandPsi = deparenthesize(psi.left) ?: return null
                val compoundAssignKind = psi.getCompoundAssignKind()
    
                // handle compound assignment with array access convention
                if (fir is FirFunctionCall && fir.calleeReference.name == OperatorNameConventions.SET && leftOperandPsi is KtArrayAccessExpression) {
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  5. docs/en/docs/async.md

    ---
    
    Again, these are very technical details that would probably be useful if you came searching for them.
    
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  6. analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/diagnostics/KtFirDataClassConverters.kt

            )
        }
        add(FirErrors.TYPE_PARAMETER_AS_REIFIED_ARRAY.errorFactory) { firDiagnostic ->
            TypeParameterAsReifiedArrayErrorImpl(
                firSymbolBuilder.classifierBuilder.buildTypeParameterSymbol(firDiagnostic.a),
                firDiagnostic as KtPsiDiagnostic,
                token,
            )
        }
        add(FirErrors.TYPE_PARAMETER_AS_REIFIED_ARRAY.warningFactory) { firDiagnostic ->
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  7. docs/uk/docs/index.md

        return {"item_id": item_id, "q": q}
    ```
    
    **Примітка**:
    
    Стикнувшись з проблемами, не зайвим буде ознайомитися з розділом _"In a hurry?"_ про <a href="https://fastapi.tiangolo.com/async/#in-a-hurry" target="_blank">`async` та `await` у документації</a>.
    
    </details>
    
    ### Запустіть
    
    Запустіть server з:
    
    <div class="termy">
    
    ```console
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  8. docs/es/docs/features.md

    Pero, todo **simplemente funciona** por defecto.
    
    ### Validación
    
    * Validación para la mayoría (¿o todos?) los **tipos de datos** de Python incluyendo:
        * Objetos JSON (`dict`).
        * JSON array (`list`) definiendo tipos de ítem.
        * Campos de texto (`str`) definiendo longitudes mínimas y máximas.
        * Números (`int`, `float`) con valores mínimos y máximos, etc.
    
    * Validación para tipos más exóticos como:
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  9. README.md

    @app.get("/items/{item_id}")
    async def read_item(item_id: int, q: Union[str, None] = None):
        return {"item_id": item_id, "q": q}
    ```
    
    **Note**:
    
    If you don't know, check the _"In a hurry?"_ section about <a href="https://fastapi.tiangolo.com/async/#in-a-hurry" target="_blank">`async` and `await` in the docs</a>.
    
    </details>
    
    ### Run it
    
    Run the server with:
    
    <div class="termy">
    
    ```console
    $ fastapi dev main.py
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  10. docs/ja/docs/tutorial/body-nested-models.md

    {!../../../docs_src/body_nested_models/tutorial007.py!}
    ```
    
    !!! info "情報"
        `Offer`は`Item`のリストであり、オプションの`Image`のリストを持っていることに注目してください。
    
    ## 純粋なリストのボディ
    
    期待するJSONボディのトップレベルの値がJSON`array`(Pythonの`list`)であれば、Pydanticモデルと同じように、関数のパラメータで型を宣言することができます:
    
    ```Python
    images: List[Image]
    ```
    
    以下のように:
    
    ```Python hl_lines="15"
    {!../../../docs_src/body_nested_models/tutorial008.py!}
    ```
    
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