import org.junit.jupiter.api.Test;
import org.mockito.Mockito;

/**
 * Tests for {@link SmbFilenameFilter}. Since the interface only defines
 * a single method, the tests simply ensure that the lambda expression
 * correctly implements the method and that any exception is propagated.
 */
class SmbFilenameFilterTest {

    @Test
    void acceptReturnsTrueWhenNameMatches() throws Exception {

			Comment: "hello , world",
			Where:   "age > 10",
			Option:  "WITH PARSER parser_name",
			Fields: []schema.IndexOption{{Field: &schema.Field{Name: "Name6"}}, {
				Field:      &schema.Field{Name: "Age"},
				Expression: "ABS(age)",
			}},
		},
		{
			Name:   "idx_id",
			Fields: []schema.IndexOption{{Field: &schema.Field{Name: "MemberNumber"}}, {Field: &schema.Field{Name: "OID", UniqueIndex: "idx_oid"}}},
		},
		{

                  region_name='us-east-1')

r = s3.select_object_content(
    Bucket='mycsvbucket',
    Key='sampledata/TotalPopulation.csv.gz',
    ExpressionType='SQL',
    Expression="select * from s3object s where s.Location like '%United States%'",
    InputSerialization={
        'CSV': {
            "FileHeaderInfo": "USE",
        },
        'CompressionType': 'GZIP',
    },

### 3. Example

As an example, let us take a gzip compressed CSV file. Without S3 Select, we would need to download, decompress and process the entire CSV to get the data you needed. With Select API, can use a simple SQL expression to return only the data from the CSV you’re interested in, instead of retrieving the entire object. Following Python example shows how to retrieve the first column `Location` from an object containing data in CSV format.

	}

	for _, join := range from.Joins {
		builder.WriteByte(' ')
		join.Build(builder)
	}
}

// MergeClause merge from clause
func (from From) MergeClause(clause *Clause) {
	clause.Expression = from

    /** Current page number for pagination. */
    private int currentPageNumber;

    /** Boost document ID for search filtering. */
    public String id;

    /** URL expression for search filtering. */
    public String urlExpr;

    /** Boost expression for search filtering. */
    public String boostExpr;

    /** Sort order for search filtering. */
    public String sortOrder;

You can define a <abbr title="A regular expression, regex or regexp is a sequence of characters that define a search pattern for strings.">regular expression</abbr> `pattern` that the parameter should match:

{* ../../docs_src/query_params_str_validations/tutorial004_an_py310.py hl[11] *}

This specific regular expression pattern checks that the received parameter value:

  TLS_1_1("TLSv1.1"), // 2006.
  TLS_1_0("TLSv1"), // 1999.
  SSL_3_0("SSLv3"), // 1996.
  ;

  @JvmName("-deprecated_javaName")
  @Deprecated(
    message = "moved to val",
    replaceWith = ReplaceWith(expression = "javaName"),
    level = DeprecationLevel.ERROR,
  )
  fun javaName(): String = javaName

  companion object {
    @JvmStatic
    fun forJavaName(javaName: String): TlsVersion =
      when (javaName) {

				},
			},
			"SELECT * FROM `users` ORDER BY `name`", nil,
		},
		{
			[]clause.Interface{
				clause.Select{}, clause.From{}, clause.OrderBy{
					Expression: clause.Expr{SQL: "FIELD(id, ?)", Vars: []interface{}{[]int{1, 2, 3}}, WithoutParentheses: true},
				},
			},
			"SELECT * FROM `users` ORDER BY FIELD(id, ?,?,?)",
			[]interface{}{1, 2, 3},
		},
	}

		DeleteClauses:        []string{"DELETE", "FROM", "WHERE", "RETURNING"},
		LastInsertIDReversed: true,
	})

	return nil
}

func (DummyDialector) DefaultValueOf(field *schema.Field) clause.Expression {
	return clause.Expr{SQL: "DEFAULT"}
}

func (DummyDialector) Migrator(*gorm.DB) gorm.Migrator {
	return nil
}

func (DummyDialector) BindVarTo(writer clause.Writer, stmt *gorm.Statement, v interface{}) {