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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.
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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 \
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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 - Registered: Tue Apr 30 11:13:12 GMT 2024 - Last Modified: Thu Dec 07 18:42:59 GMT 2023 - 11.6K bytes - Viewed (0) -
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.
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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:
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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" \
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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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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
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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>.
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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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