if (!attrList.isEmpty()) {
            consumer.accept(attrList.get(0));
        }
    }

    /**
     * Gets a list of attribute values from search results.
     *
     * @param result the list of search results
     * @param name the attribute name
     * @return a list of attribute values
     */
    protected List<Object> getAttributeValueList(final List<SearchResult> result, final String name) {
        try {

 * Query processor component that handles query filters and commands.
 * This class provides a pipeline for processing Lucene queries by applying
 * a chain of filters and executing registered query commands.
 *
 * <p>The processor maintains a map of query commands indexed by query class names
 * and a list of filters that are applied in order during query processing.</p>
 */
public class QueryProcessor {

    /**
     * Default constructor.
     */

# ==============================================================================
"""
Top-level module of TensorFlow. By convention, we refer to this module as
`tf` instead of `tensorflow`, following the common practice of importing
TensorFlow via the command `import tensorflow as tf`.

The primary function of this module is to import all of the public TensorFlow
interfaces into a single place. The interfaces themselves are located in

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//

	if in.macros[name] != nil {
		in.Error("redefinition of macro:", name)
	}
	in.macros[name] = &Macro{
		name:   name,
		args:   args,
		tokens: tokens,
	}
}

// macroDefinition returns the list of formals and the tokens of the definition.
// The argument list is nil for no parens on the definition; otherwise a list of
// formal argument names.

// 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

	retry:
	  attempts: 10 # number of retries for the job before giving up
	  delay: "500ms" # least amount of delay between each retry
```

You can create and run multiple 'replication' jobs at a time there are no predefined limits set.

## Batch Jobs Terminology

### Job

 * 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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language

 * 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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND,
 * either express or implied. See the License for the specific language

    response: Response,
  ) {
  }

  /**
   * Invoked when a new event has been sent to the client.
   *
   * @param id The `id` line of the event, might be null.
   * @param type The `event` line of the event, might be null.
   * @param data The `data` line of the event.
   */
  open fun onEvent(
    eventSource: EventSource,
    id: String?,
    type: String?,
    data: String,
  ) {
  }

  /**