for (org.apache.maven.model.Dependency dependency : mgmt.getDependencies()) {
                result.addManagedDependency(convert(dependency, stereotypes));
            }
        }

        Map<String, Object> properties = new LinkedHashMap<>();

        Prerequisites prerequisites = model.getPrerequisites();
        if (prerequisites != null) {
            properties.put("prerequisites.maven", prerequisites.getMaven());
        }

// Copyright (c) 2015-2021 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

// Copyright (c) 2015-2021 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

// Copyright (c) 2015-2024 MinIO, Inc.
//
// This file is part of MinIO Object Storage stack
//
// This program is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published by
// the Free Software Foundation, either version 3 of the License, or
// (at your option) any later version.
//
// This program is distributed in the hope that it will be useful

#### A Random Item { #a-random-item }

With `data.items()` we get an <dfn title="Something we can iterate on with a for loop, like a list, set, etc.">iterable object</dfn> with tuples containing the key and value for each dictionary item.

We convert this iterable object into a proper `list` with `list(data.items())`.

#include "tensorflow/c/c_api.h"
#include "tensorflow/c/c_api_macros.h"

#ifdef __cplusplus
extern "C" {
#endif

typedef struct TFE_ContextOptions TFE_ContextOptions;

// Return a new options object.
TF_CAPI_EXPORT extern TFE_ContextOptions* TFE_NewContextOptions(void);

// Set the config in TF_ContextOptions.options.
// config should be a serialized tensorflow.ConfigProto proto.

        }

        @Override
        protected void storeData(DataConfig dataConfig, IndexUpdateCallback callback, DataStoreParams paramMap,
                Map<String, String> scriptMap, Map<String, Object> defaultDataMap) {
            // Test implementation
        }
    }

    // Second Test DataStore implementation for testing multiple stores
    private static class TestDataStore2 extends AbstractDataStore {

import java.io.Serializable;
import java.nio.ByteBuffer;
import java.nio.ByteOrder;
import java.util.Objects;
import org.jspecify.annotations.Nullable;

/**
 * An immutable value object capturing some basic statistics about a collection of paired double
 * values (e.g. points on a plane). Build instances with {@link PairedStatsAccumulator#snapshot}.
 *
 * @author Pete Gillin
 * @since 20.0
 */

        // But we can verify the object is created successfully with these values
        assertNotNull(trans2SetFileInfo);
    }

    @Test
    @DisplayName("Test concurrent access")
    void testConcurrentAccess() throws InterruptedException {
        // Setup mock before creating the object

     * <li><code>(,1.0],[1.2,)</code> Versions up to 1.0 (included) and 1.2 or higher</li>
     * </ul>
     *
     * @param spec string representation of a version or version range
     * @return a new {@link VersionRange} object that represents the spec
     * @throws InvalidVersionSpecificationException if invalid version specification
     */
    public static VersionRange createFromVersionSpec(String spec) throws InvalidVersionSpecificationException {