/*/out
/*/*/out
/*/*/*/out
/*/*/*/*/out
/.teamcity/target
/gradle.ipr
/gradle.iws

# Eclipse
# -------
*.classpath
*.project
*.settings
/bin
/subprojects/*/bin
atlassian-ide-plugin.xml
.metadata/

# NetBeans
# --------
.nb-gradle
.nb-gradle-properties

# Vim
# ---
*.sw[nop]

# Emacs
# -----
*~
\#*\#
.\#*

# Textmate
# --------
.textmate

# Sublime Text

    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(FtpClient.class);

    /** Metadata key for FTP file group */
    public static final String FTP_FILE_GROUP = "ftpFileGroup";

    /** Metadata key for FTP file user */
    public static final String FTP_FILE_USER = "ftpFileUser";

    /** Property name for FTP authentications */

# limitations under the License.
#

# This scripts detects builds running on EC2 by accessing the special ip 169.254.169.254 exposed by AWS instances.
# https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-instance-metadata.html

# In case of running on EC2
# - we add a TeamCity tag to the build with an instance type of the EC2 instance.
# - we set GRADLE_RO_DEP_CACHE to '/opt/gradle-cache' if the folder exists.

cff-version: 1.2.0
message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org."
title: TensorFlow, Large-scale machine learning on heterogeneous systems

 * <p>
 * This client supports authentication, content retrieval, and metadata extraction from SMB files.
 * It handles file access, directory listing, and access control entries (ACEs) processing.
 * </p>
 *
 * <p>
 * The class provides methods to:
 * </p>
 * <ul>
 *   <li>Initialize the client with SMB authentication details.</li>
 *   <li>Retrieve content and metadata from SMB files.</li>

      run: |
        function map() {
          # The "digest" that allows us to pull an image is not the digest as
          # returned by the API, but a sha256sum of the entire chunk of image
          # metadata. gcr.io helpfully includes it in the header of the response
          # as docker-content-digest: sha256:[digest]. Note we use egrep to
          # match exactly sha256:<hash> because curl may include a ^M symbol at

idna==3.10 \
    --hash=sha256:12f65c9b470abda6dc35cf8e63cc574b1c52b11df2c86030af0ac09b01b13ea9 \
    --hash=sha256:946d195a0d259cbba61165e88e65941f16e9b36ea6ddb97f00452bae8b1287d3
    # via requests
importlib-metadata==8.6.1 \
    --hash=sha256:02a89390c1e15fdfdc0d7c6b25cb3e62650d0494005c97d6f148bf5b9787525e \
    --hash=sha256:310b41d755445d74569f993ccfc22838295d9fe005425094fad953d7f15c8580
    # via markdown
jax==0.4.7 \

import org.opensearch.action.search.SearchResponse;
import org.opensearch.action.support.WriteRequest.RefreshPolicy;
import org.opensearch.action.support.clustermanager.AcknowledgedResponse;
import org.opensearch.cluster.metadata.MappingMetadata;
import org.opensearch.common.unit.TimeValue;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.core.rest.RestStatus;
import org.opensearch.core.xcontent.XContentBuilder;

Suggester suggester = Suggester.builder().build(client, suggestId);
```

#### 2. Add Suggestion Documents

```java
import org.codelibs.fess.suggest.entity.SuggestItem;

// Create suggestion item with text, readings, and metadata
String[][] readings = new String[2][];
readings[0] = new String[]{"kensaku", "engine"};
readings[1] = new String[]{"search", "injin"};

String[] tags = new String[]{"technology", "search"};

import org.opensearch.action.admin.indices.get.GetIndexResponse;
import org.opensearch.action.admin.indices.refresh.RefreshResponse;
import org.opensearch.action.search.SearchResponse;
import org.opensearch.cluster.metadata.AliasMetadata;
import org.opensearch.common.xcontent.XContentType;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.index.query.QueryBuilders;
import org.opensearch.transport.client.Client;

/**