*/
package org.codelibs.fess.timer;

import java.io.IOException;
import java.io.PrintWriter;
import java.util.Arrays;
import java.util.function.Supplier;

import org.apache.commons.io.output.ByteArrayOutputStream;
import org.apache.commons.text.StringEscapeUtils;
import org.codelibs.core.timer.TimeoutTarget;
import org.codelibs.fess.Constants;
import org.codelibs.fess.helper.SystemHelper;

	Clauses              map[string]clause.Clause
	BuildClauses         []string
	Distinct             bool
	Selects              []string          // selected columns
	Omits                []string          // omit columns
	ColumnMapping        map[string]string // map columns
	Joins                []join
	Preloads             map[string][]interface{}
	Settings             sync.Map
	ConnPool             ConnPool

CoreLib supports multiple logging frameworks. Configure your preferred logger:

```java
// Use with SLF4J (add slf4j-api dependency)
Logger logger = Logger.getLogger(MyClass.class);

// Use with Commons Logging (add commons-logging dependency)  
Logger logger = Logger.getLogger(MyClass.class);

// Use with Java Util Logging (built-in)
Logger logger = Logger.getLogger(MyClass.class.getName());
```

|        2|Savicevic  |          |
|        3|...        |...       |

(Sheet)
MEMBER / MEMBER_LOGIN / MEMBER_SECURITY
- - - - - - - - - -/

The defaultValueMap.dataprop is for common columns like this:
/- - - - - - - - - - - - - - - - - - - -
map:{
    ; REGISTER_DATETIME = sysdate
    ; REGISTER_USER     = foo
    ; REGISTER_PROCESS  = bar
    ; UPDATE_DATETIME   = sysdate
    ; UPDATE_USER       = foo

      /*
       * This sorting logic leads to a cellSet() ordering that may not be expected and that isn't
       * documented in the Javadoc. If a row Comparator is provided, cellSet() iterates across the
       * columns in the first row, the columns in the second row, etc. If a column Comparator is
       * provided but a row Comparator isn't, cellSet() iterates across the rows in the first
       * column, the rows in the second column, etc.
       */

func TestValues(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{
				clause.Insert{},
				clause.Values{
					Columns: []clause.Column{{Name: "name"}, {Name: "age"}},
					Values:  [][]interface{}{{"jinzhu", 18}, {"josh", 1}},
				},
			},
			"INSERT INTO `users` (`name`,`age`) VALUES (?,?),(?,?)",
			[]interface{}{"jinzhu", 18, "josh", 1},

 * KIND, either express or implied.  See the License for the
 * specific language governing permissions and limitations
 * under the License.
 */
package org.apache.maven.cling.invoker.mvnenc;

import org.apache.commons.cli.ParseException;
import org.apache.maven.api.cli.Options;
import org.apache.maven.cling.invoker.BaseParser;

public class EncryptParser extends BaseParser {
    @Override

		Dest:         dest,
	}

	stmt.Schema = s

	values := ConvertToCreateValues(stmt)
	expected := clause.Values{
		// column has value + defaultValue column has value (which should have a stable order)
		Columns: []clause.Column{{Name: "name"}, {Name: "email"}, {Name: "age"}, {Name: "id"}},
		Values: [][]interface{}{
			{"alice", "email", 18, 1},
			{"bob", "email", 19, 2},
		},
	}
	if !reflect.DeepEqual(expected, values) {

  require(address.size == 4)
  return Buffer()
    .writeDecimalLong((address[0] and 0xff).toLong())
    .writeByte('.'.code)
    .writeDecimalLong((address[1] and 0xff).toLong())
    .writeByte('.'.code)
    .writeDecimalLong((address[2] and 0xff).toLong())
    .writeByte('.'.code)
    .writeDecimalLong((address[3] and 0xff).toLong())
    .readUtf8()
}

/**

				return errCSVParsingError(err)
			}
			return err
		}

		if r.args.FileHeaderInfo == use {
			// Copy column names since records will be reused.
			columns := append(make([]string, 0, len(record)), record...)
			r.columnNames = columns
		}
	}

	r.bufferPool.New = func() []byte {
		return make([]byte, csvSplitSize+1024)
	}

	// Return first block