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  1. docs/en/docs/contributing.md

        ```console
        $ cd docs/en/
        ```
    
        Then run `mkdocs` in that directory:
    
        ```console
        $ mkdocs serve --dev-addr 8008
        ```
    
    #### Typer CLI (optional)
    
    The instructions here show you how to use the script at `./scripts/docs.py` with the `python` program directly.
    
    Plain Text
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  2. docs/kms/README.md

    ### 1. Fetch the root identity
    
    As the initial step, fetch the private key and certificate of the root identity:
    
    ```sh
    curl -sSL --tlsv1.2 \
    Plain Text
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  3. src/cmd/asm/internal/asm/endtoend_test.go

    					i++
    				}
    				continue
    			}
    			buf = append(buf, c)
    		}
    
    		f := strings.Fields(string(buf))
    
    		// Turn relative (PC) into absolute (PC) automatically,
    		// so that most branch instructions don't need comments
    		// giving the absolute form.
    		if len(f) > 0 && strings.Contains(printed, "(PC)") {
    			index := len(f) - 1
    			suf := "(PC)"
    			for !strings.HasSuffix(f[index], suf) {
    				index--
    Go
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  4. docs/fr/docs/contributing.md

    </div>
    
    Il servira la documentation sur `http://127.0.0.1:8008`.
    
    De cette façon, vous pouvez modifier la documentation/les fichiers sources et voir les changements en direct.
    
    #### Typer CLI (facultatif)
    
    Les instructions ici vous montrent comment utiliser le script à `./scripts/docs.py` avec le programme `python` directement.
    
    Plain Text
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  5. ci/official/README.md

    called "MLCI" that makes testing more convenient: it can execute any full CI job
    against a pending change. Search for "MLCI" internally to find it.
    
    You may invoke a CI script of your choice by following these instructions:
    
    ```bash
    cd tensorflow-git-dir
    
    # Here is a single-line example of running a script on Linux to build the
    # GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
    # a local build cache:
    Plain Text
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  6. docs/docker/README.md

    ```
    
    Read more about `docker service` [here](https://docs.docker.com/engine/swarm/how-swarm-mode-works/services/)
    
    #### MinIO Custom Access and Secret Key files
    
    To use other secret names follow the instructions above and replace `access_key` and `secret_key` with your custom names (e.g. `my_secret_key`,`my_custom_key`). Run your service with
    
    ```
    docker service create --name="minio-service" \
      --secret="my_access_key" \
    Plain Text
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  7. docs/fr/docs/async.md

    Au final, peu importe le cas parmi ceux ci-dessus, **FastAPI** fonctionnera de manière asynchrone et sera extrêmement rapide.
    
    Mais si vous suivez bien les instructions ci-dessus, alors **FastAPI** pourra effectuer quelques optimisations et ainsi améliorer les performances.
    
    ## Détails techniques
    
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  8. src/cmd/asm/internal/asm/testdata/amd64enc_extra.s

    	SHA256RNDS2 X0, (BX), X11  // 440f38cb1b
    	SHA256RNDS2 X0, (R11), X11 // 450f38cb1b
    	SHA256RNDS2 X0, X2, X11    // 440f38cbda
    	SHA256RNDS2 X0, X11, X11   // 450f38cbdb
    	// Rest SHA instructions tests.
    	SHA1MSG1 (BX), X2        // 0f38c913
    	SHA1MSG1 (R11), X2       // 410f38c913
    	SHA1MSG1 X2, X2          // 0f38c9d2
    	SHA1MSG1 X11, X2         // 410f38c9d3
    	SHA1MSG1 (BX), X11       // 440f38c91b
    Others
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  9. docs/en/docs/deployment/https.md

    It is easy to assume that HTTPS is something that is just "enabled" or not.
    
    But it is way more complex than that.
    
    !!! tip
        If you are in a hurry or don't care, continue with the next sections for step by step instructions to set everything up with different techniques.
    
    To **learn the basics of HTTPS**, from a consumer perspective, check <a href="https://howhttps.works/" class="external-link" target="_blank">https://howhttps.works/</a>.
    
    Plain Text
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  10. docs/en/docs/deployment/docker.md

    ```
    
    Docker and other tools **build** these container images **incrementally**, adding **one layer on top of the other**, starting from the top of the `Dockerfile` and adding any files created by each of the instructions of the `Dockerfile`.
    
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