"description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

                            "description": "Successful Response",
                            "content": {"application/json": {"schema": {}}},
                        },
                        "422": {
                            "description": "Validation Error",
                            "content": {
                                "application/json": {
                                    "schema": {

// using a delete-marker and MetaSys entries. It's used to track tiered content of a
// deleted/overwritten version. This version is visible _only_to the scanner routine, for subsequent deletion.
// This kind of tracking is necessary since a version's tiered content is deleted asynchronously.

// Backend directory tree structure:
// disk1/
// └── bucket
//     └── object

void TF_SetTracingImplementation(const char* name, TF_Status* s) {
  tsl::Set_TF_Status_from_Status(s, SetDefaultTracingEngine(name));
}

// Creates a new TensorFlow function, it is an execution context attached to a
// given tracing context.
TF_ExecutionContext* TF_CreateFunction(const char* fn_name, TF_Status* s) {
  return wrap(CreateTracingExecutionContext(fn_name, s));
}

        return parse(ParserRequest.mvn(args, logger, messageBuilderFactory).build());
    }

    /**
     * Parses the given ParserRequest to create an InvokerRequest.
     * This method is responsible for interpreting the contents of the ParserRequest
     * and constructing the appropriate InvokerRequest object.
     *
     * @param parserRequest the request containing all necessary information for parsing
     * @return the parsed InvokerRequest

      - master

# This ensures that previous jobs for the PR are canceled when the PR is
# updated.
concurrency:
  group: ${{ github.workflow }}-${{ github.head_ref }}
  cancel-in-progress: true

permissions:
  contents: read

jobs:
  replication-test:
    name: Advanced Tests with Go ${{ matrix.go-version }}
    runs-on: ubuntu-latest

    strategy:
      matrix:
        go-version: [1.22.x]

    steps:

@Experimental
public interface ForkedMavenParser extends MavenParser<ForkedMavenInvokerRequest> {
    /**
     * Parses the given ParserRequest to create a ForkedMavenInvokerRequest.
     * This method is responsible for interpreting the contents of the ParserRequest
     * and constructing the appropriate ForkedMavenInvokerRequest object for forked Maven operations.
     *
     * @param parserRequest the request containing all necessary information for parsing

 */
@Experimental
public interface EncryptParser extends Parser<EncryptInvokerRequest> {
    /**
     * Parses the given ParserRequest to create an EncryptInvokerRequest.
     * This method is responsible for interpreting the contents of the ParserRequest
     * and constructing the appropriate EncryptInvokerRequest object for encryption operations.
     *
     * @param parserRequest the request containing all necessary information for parsing

from fastapi import FastAPI
from fastapi.responses import JSONResponse

app = FastAPI()


@app.get("/headers/")
def get_headers():
    content = {"message": "Hello World"}
    headers = {"X-Cat-Dog": "alone in the world", "Content-Language": "en-US"}

## Concepts de déploiement

Ces exemples lancent le programme serveur (e.g. Uvicorn), démarrant **un seul processus**, sur toutes les IPs (`0.0.
0.0`) sur un port prédéfini (par example, `80`).

C'est l'idée de base. Mais vous vous préoccuperez probablement de certains concepts supplémentaires, tels que ... :

* la sécurité - HTTPS
* l'exécution au démarrage