type Returning struct {
	Columns []Column
}

// Name where clause name
func (returning Returning) Name() string {
	return "RETURNING"
}

// Build build where clause
func (returning Returning) Build(builder Builder) {
	if len(returning.Columns) > 0 {
		for idx, column := range returning.Columns {
			if idx > 0 {
				builder.WriteByte(',')
			}

			builder.WriteQuoted(column)
		}
	} else {

     */
    public int getLineNumber() {
        return lineNumber;
    }

    /**
     * Gets the one-based index of the column containing the error.
     *
     * @return The one-based index of the column containing the error or non-positive value if unknown.
     */
    public int getColumnNumber() {
        return columnNumber;
    }

     */
    public int getLineNumber() {
        return lineNumber;
    }

    /**
     * Gets the one-based index of the column containing the error.
     *
     * @return The one-based index of the column containing the error or non-positive value if unknown.
     */
    public int getColumnNumber() {
        return columnNumber;
    }

    public ParseRuntimeException(final ParseException cause) {
        super("ECL0050", asArray(cause), cause);
    }

    /**
     * Creates a {@link ParseRuntimeException}.
     *
     * @param s the string that could not be parsed
     */
    public ParseRuntimeException(final String s) {
        super("ECL0051", asArray(s));
    }

 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.api.services;

import org.apache.maven.api.annotations.Experimental;

/**
 * An artifact could not correctly being deployed.
 *
 * @since 4.0.0
 */
@Experimental
public class ArtifactDeployerException extends MavenException {

    /**
     * @param message the message of the error

     *
     * For direct buffers, we rely on GC. A more sophisticated
     * implementation could maintain a buffer pool here as well.
     *
     * @param buffer buffer to release
     */
    public void releaseBuffer(ByteBuffer buffer) {
        // For direct buffers, we rely on GC
        // Could implement a more sophisticated buffer pool here
    }

    /**
     * Clean up all pooled regions
     *

*   Publishing others' private information, such as a physical or electronic
    address, without explicit permission.
*   Conduct which could reasonably be considered inappropriate for the forum in
    which it occurs.

All TensorFlow forums and spaces are meant for professional interactions, and any behavior which could reasonably be considered inappropriate in a professional setting is unacceptable.


## Our Responsibilities

/*

- test projects for each of these
- how to categorize the problems so that the id of the problem can be match to a page with descriptive help and the test
  project
- nice little sample projects that could be run in the core as well as integration tests

All Possible Errors
- invalid lifecycle phase (maybe same as bad CLI param, though you were talking about embedder too)
- <module> specified is not found
- malformed settings

	}

	hasLogID := false
	for _, column := range columns {
		if column.Name() == "log_id" {
			hasLogID = true
			autoIncrement, ok := column.AutoIncrement()
			if !ok || !autoIncrement {
				t.Fatalf("column log_id should be auto incrementment")
			}
		}
	}

	if !hasLogID {
		t.Fatalf("failed to found column log_id")
	}
}

 *
 * <p>Features:
 * <ul>
 *   <li>Automatic delimiter detection (comma, tab, semicolon, pipe)</li>
 *   <li>Header row detection and extraction</li>
 *   <li>Column name to data value association</li>
 *   <li>Quoted field handling</li>
 *   <li>Column names as metadata</li>
 *   <li>Configurable encoding and row limits</li>
 * </ul>
 */
public class CsvExtractor extends AbstractExtractor {