//                                                                    ================
    // -----------------------------------------------------
    //                                       Column Property
    //                                       ---------------
    protected final Map<String, PropertyGateway> _epgMap = newHashMap();
    {

		wantResult string
	}{
		{
			name:  "Select a column containing dot",
			query: `select "na.me" from S3Object s`,
			wantResult: `apple
mango`,
		},
		{
			name:       "Select column containing dot with table name prefix",
			query:      `select count(S3Object."na.me") from S3Object`,
			wantResult: `2`,
		},
		{
			name:  "Select column containing dot with table alias prefix",

    // --------------------------/

    /**
     * The one-based line number. The value will be non-positive if
     * unknown.
     */
    private int lineNumber = -1;

    /**
     * The one-based column number. The value will be non-positive
     * if unknown.
     */
    private int columnNumber = -1;

    /**
     * Field source.
     */
    private InputSource source;

    /**

    //                                                                    ================
    // -----------------------------------------------------
    //                                       Column Property
    //                                       ---------------
    protected final Map<String, PropertyGateway> _epgMap = newHashMap();
    {

    //                                                                    ================
    // -----------------------------------------------------
    //                                       Column Property
    //                                       ---------------
    protected final Map<String, PropertyGateway> _epgMap = newHashMap();
    {
        setupEpg(_epgMap, et -> ((FileAuthentication) et).getCreatedBy(),

    assertTrue(INSTANCE.isEmpty());
  }

  public void testCellSet() {
    assertEquals(ImmutableSet.of(), INSTANCE.cellSet());
  }

  public void testColumn() {
    assertEquals(ImmutableMap.of(), INSTANCE.column(1));
  }

  public void testColumnKeySet() {
    assertEquals(ImmutableSet.of(), INSTANCE.columnKeySet());
  }

  public void testColumnMap() {
    assertEquals(ImmutableMap.of(), INSTANCE.columnMap());
  }

	return t.base
}

func (t *Tokenizer) SetBase(base *src.PosBase) {
	t.base = base
}

func (t *Tokenizer) Line() int {
	return t.line
}

func (t *Tokenizer) Col() int {
	return t.s.Pos().Column
}

func (t *Tokenizer) Next() ScanToken {
	s := t.s
	for {
		t.tok = ScanToken(s.Scan())
		if t.tok != scanner.Comment {
			break
		}
		text := s.TokenText()

    By having the type as `int | None`, SQLModel will know that this column should be an `INTEGER` in the SQL database and that it should be `NULLABLE`.

* `Field(index=True)` tells SQLModel that it should create a **SQL index** for this column, that would allow faster lookups in the database when reading data filtered by this column.

    SQLModel will know that something declared as `str` will be a SQL column of type `TEXT` (or `VARCHAR`, depending on the database).

			}
		})
	}
}

type CustomizedNamingStrategy struct {
	schema.NamingStrategy
}

func (ns CustomizedNamingStrategy) ColumnName(table, column string) string {
	baseColumnName := ns.NamingStrategy.ColumnName(table, column)

	if table == "" {
		return baseColumnName
	}

	s := strings.Split(table, "_")

	var prefix string
	switch len(s) {
	case 1:
		prefix = s[0][:3]

	}

	if err := DB.Model(&results[1]).Clauses(clause.Returning{Columns: []clause.Column{{Name: "age"}}}).Updates(map[string]interface{}{"age": gorm.Expr("age + ?", 100)}).Error; err != nil {
		t.Errorf("Not error should happen when updating with gorm expr, but got %v", err)
	}

	if results[1].Age-results[0].Age != 100 {
		t.Errorf("failed to return updated age column")
	}
}

func TestUpdateWithDiffSchema(t *testing.T) {