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  1. api/go1.11.txt

    pkg debug/elf, const EM_C166 = 116
    pkg debug/elf, const EM_C166 Machine
    pkg debug/elf, const EM_CDP = 215
    pkg debug/elf, const EM_CDP Machine
    pkg debug/elf, const EM_CE = 119
    pkg debug/elf, const EM_CE Machine
    pkg debug/elf, const EM_CLOUDSHIELD = 192
    pkg debug/elf, const EM_CLOUDSHIELD Machine
    pkg debug/elf, const EM_COGE = 216
    pkg debug/elf, const EM_COGE Machine
    pkg debug/elf, const EM_COOL = 217
    pkg debug/elf, const EM_COOL Machine
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  2. docs/en/docs/deployment/manually.md

    When referring to the remote machine, it's common to call it **server**, but also **machine**, **VM** (virtual machine), **node**. Those all refer to some type of remote machine, normally running Linux, where you run programs.
    
    ## Install the Server Program
    
    You can install an ASGI compatible server with:
    
    === "Uvicorn"
    
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  3. docs/fr/docs/project-generation.md

        * **Intuitif** : Excellent support des éditeurs. <abbr title="aussi appelée auto-complétion, autocomplétion, IntelliSense...">Complétion</abbr> partout. Moins de temps passé à déboguer.
        * **Facile** : Fait pour être facile à utiliser et apprendre. Moins de temps passé à lire de la documentation.
        * **Concis** : Minimise la duplication de code. Plusieurs fonctionnalités à chaque déclaration de paramètre.
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  4. .github/ISSUE_TEMPLATE/feature_request.md

    [ ] Extensions and Telemetry
    [ ] Security
    [ ] Test and Release
    [ ] User Experience
    [ ] Developer Infrastructure
    
    **Affected features (please put an X in all that apply)**
    
    [ ] Multi Cluster
    [ ] Virtual Machine
    [ ] Multi Control Plane
    
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  5. README.md

    researchers push the state-of-the-art in ML and developers easily build and
    deploy ML-powered applications.
    
    TensorFlow was originally developed by researchers and engineers working within
    the Machine Intelligence team at Google Brain to conduct research in machine
    learning and neural networks. However, the framework is versatile enough to be
    used in other areas as well.
    
    TensorFlow provides stable [Python](https://www.tensorflow.org/api_docs/python)
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  6. api/go1.19.txt

    pkg debug/pe, const IMAGE_COMDAT_SELECT_SAME_SIZE ideal-int #51868
    pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH32 = 25138 #46229
    pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH32 ideal-int #46229
    pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH64 = 25188 #46229
    pkg debug/pe, const IMAGE_FILE_MACHINE_LOONGARCH64 ideal-int #46229
    pkg debug/pe, const IMAGE_SCN_CNT_CODE = 32 #51868
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  7. docs/fr/docs/deployment/index.md

    ## Que signifie le déploiement
    
    **Déployer** une application signifie effectuer les étapes nécessaires pour la rendre **disponible pour les
    utilisateurs**.
    
    Pour une **API Web**, cela implique normalement de la placer sur une **machine distante**, avec un **programme serveur**
    qui offre de bonnes performances, une bonne stabilité, _etc._, afin que vos **utilisateurs** puissent **accéder** à
    l'application efficacement et sans interruption ni problème.
    
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  8. common-protos/k8s.io/api/core/v1/generated.proto

    message NodeSystemInfo {
      // MachineID reported by the node. For unique machine identification
      // in the cluster this field is preferred. Learn more from man(5)
      // machine-id: http://man7.org/linux/man-pages/man5/machine-id.5.html
      optional string machineID = 1;
    
      // SystemUUID reported by the node. For unique machine identification
      // MachineID is preferred. This field is specific to Red Hat hosts
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  9. .github/PULL_REQUEST_TEMPLATE.md

    _If PR is about `failing-tests or flakes`, please post the related issues/tests in a comment and do not use `Fixes`_*
    -->
    Fixes #
    
    #### Special notes for your reviewer:
    
    #### Does this PR introduce a user-facing change?
    <!--
    If no, just write "NONE" in the release-note block below.
    If yes, a release note is required:
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  10. docs/it/docs/index.md

    * **Facile**: Progettato per essere facile da usare e imparare. Si riduce il tempo da dedicare alla lettura della documentazione.
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