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README.md
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requirements-docs.txt
-e . -r requirements-docs-tests.txt mkdocs-material==9.5.18 mdx-include >=1.4.1,<2.0.0 mkdocs-redirects>=1.2.1,<1.3.0 typer >=0.12.0 pyyaml >=5.3.1,<7.0.0 # For Material for MkDocs, Chinese search jieba==0.42.1 # For image processing by Material for MkDocs pillow==10.3.0 # For image processing by Material for MkDocs cairosvg==2.7.0 mkdocstrings[python]==0.24.3 griffe-typingdoc==0.2.2 # For griffe, it formats with black black==24.3.0
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analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/KtFe10AnalysisSession.kt
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file. */ package org.jetbrains.kotlin.analysis.api.descriptors import com.intellij.psi.search.GlobalSearchScope import org.jetbrains.kotlin.analysis.api.KtAnalysisApiInternals import org.jetbrains.kotlin.analysis.api.KtAnalysisNonPublicApi import org.jetbrains.kotlin.analysis.api.KtAnalysisSession
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/KtFirAnalysisSession.kt
*/ package org.jetbrains.kotlin.analysis.api.fir import com.intellij.openapi.project.Project import com.intellij.psi.search.GlobalSearchScope import org.jetbrains.kotlin.analysis.api.KtAnalysisApiInternals import org.jetbrains.kotlin.analysis.api.KtAnalysisNonPublicApi import org.jetbrains.kotlin.analysis.api.KtAnalysisSession
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README.md
[![Apache License, Version 2.0, January 2004](https://img.shields.io/github/license/apache/maven.svg?label=License)][license] [![Maven Central](https://img.shields.io/maven-central/v/org.apache.maven/apache-maven.svg?label=Maven%20Central)](https://search.maven.org/artifact/org.apache.maven/apache-maven)
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okhttp/src/main/kotlin/okhttp3/internal/idn/IdnaMappingTable.kt
return when { offset >= 0 -> offset * 4 // This section was found by binary search. else -> (-offset - 2) * 4 // Not found? Use the preceding element. } } /** * Binary search [ranges] for [codePoint], looking at its bottom 7 bits. * * This binary searches over 4-byte entries, and so it needs to adjust binary search indices * in (by dividing by 4) and out (by multiplying by 4). */
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ReadMe.md
[![GitHub license](https://img.shields.io/badge/license-Apache%20License%202.0-blue.svg?style=flat)](https://www.apache.org/licenses/LICENSE-2.0) [![Revved up by Develocity](https://img.shields.io/badge/Revved%20up%20by-Develocity-06A0CE?logo=Gradle&labelColor=02303A)](https://ge.jetbrains.com/scans?search.rootProjectNames=Kotlin)
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docs/fr/docs/advanced/response-directly.md
Cela vous donne beaucoup de flexibilité. Vous pouvez retourner n'importe quel type de données, surcharger n'importe quelle déclaration ou validation de données. ## Utiliser le `jsonable_encoder` dans une `Response` Parce que **FastAPI** n'apporte aucune modification à une `Response` que vous retournez, vous devez vous assurer que son contenu est prêt à être utilisé (sérialisable).
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docs/de/docs/project-generation.md
### Modelle für maschinelles Lernen mit spaCy und FastAPI – Funktionen * **spaCy** NER-Modellintegration. * **Azure Cognitive Search**-Anforderungsformat integriert. * **Produktionsbereit** Python-Webserver, verwendet Uvicorn und Gunicorn. * **Azure DevOps** Kubernetes (AKS) CI/CD-Deployment integriert.
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docs/fr/docs/history-design-future.md
## Futur À ce stade, il est déjà clair que **FastAPI** et ses idées sont utiles pour de nombreuses personnes. Elle a été préférée aux solutions précédentes parce qu'elle convient mieux à de nombreux cas d'utilisation. De nombreux développeurs et équipes dépendent déjà de **FastAPI** pour leurs projets (y compris moi et mon équipe).
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