Un **gestionnaire de contexte** en Python est quelque chose que vous pouvez utiliser dans une instruction `with`. Par exemple, `open()` peut être utilisé comme gestionnaire de contexte :

```Python
with open("file.txt") as file:
    file.read()
```

Dans les versions récentes de Python, il existe aussi un **gestionnaire de contexte asynchrone**. Vous l'utiliseriez avec `async with` :

```Python
async with lifespan(app):

/*
 * Copyright (C) 2017 Square, Inc.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *      http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

/*
 * Copyright Elasticsearch B.V. and/or licensed to Elasticsearch B.V. under one
 * or more contributor license agreements. Licensed under the Elastic License
 * 2.0 and the Server Side Public License, v 1; you may not use this file except
 * in compliance with, at your election, the Elastic License 2.0 or the Server
 * Side Public License, v 1.
 */

package org.elasticsearch.gradle.internal.release;

import org.elasticsearch.gradle.Version;

      incorporateRequirements(requirements, moreRequirements, testerAnnotation);
    }

    return requirements;
  }

  /**
   * Find all the tester annotations declared on a tester class or method.
   *
   * @param classOrMethod a class or method whose tester annotations to find
   * @return an iterable sequence of tester annotations on the class
   */

	@echo "Installation successful. To learn more, try \"minio --help\"."

clean: ## cleanup all generated assets
	@echo "Cleaning up all the generated files"
	@find . -name '*.test' | xargs rm -fv
	@find . -name '*~' | xargs rm -fv
	@find . -name '.#*#' | xargs rm -fv
	@find . -name '#*#' | xargs rm -fv
	@rm -rvf minio
	@rm -rvf build
	@rm -rvf release
	@rm -rvf .verify*
	@rm -rvf minio-release

/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *

/*
 * Copyright 2012-2025 CodeLibs Project and the Others.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,

The Gradle team uses ADRs to record architectural decisions that the team has made.

See [Architecture decisions records](standards) for the list of ADRs.
Be aware these are very technical descriptions of the decisions, and you might find the documentation below more useful as an introduction to the internals of Gradle.

## Architecture overview

### Platform architecture

Gradle is arranged into several coarse-grained components called "platforms".

 */
@StatelessCheck
public class MissingJavadocTypeCheck extends AbstractCheck {

    /**
     * A key is pointing to the warning message text in "messages.properties"
     * file.
     */
    public static final String MSG_JAVADOC_MISSING = "javadoc.missing";

    /** Specify the visibility scope where Javadoc comments are checked. */
    private Scope scope = Scope.PUBLIC;

    status->status = tensorflow::errors::Internal(
        "Unable to find the enqueue node in the TF graph.");
    return;
  }

  TF_Operation* placeholder_op = TF_GraphOperationByName(
      session->graph, absl::StrCat("arg_tensor_enqueue_", tensor_id).c_str());
  if (placeholder_op == nullptr) {
    status->status = tensorflow::errors::Internal(
        "Unable to find the placeholder node as input to enqueue in the TF "
        "graph.");