}

	data := ScannerValuerStruct{
		Name:             sql.NullString{String: "name", Valid: true},
		Gender:           &sql.NullString{String: "M", Valid: true},
		Age:              sql.NullInt64{Int64: 18, Valid: true},
		ExampleStruct:    ExampleStruct{"name", "value1"},
		ExampleStructPtr: &ExampleStruct{"name", "value2"},
	}

	var result ScannerValuerStruct

When you PUT an object in a versioning-enabled bucket, the noncurrent version is not overwritten. The following figure shows that when a new version of `spark.csv` is PUT into a bucket that already contains an object with the same name, the original object (ID = `ede336f2`) remains in the bucket, MinIO generates a new version (ID = `fae684da`), and adds the newer version to the bucket.

			wantErr: policyCondFailedErr,
		},
		{
			name:    "incorrect key name",
			fv:      defaultFormVals.Clone().Set("Key", "incorrect"),
			wantErr: policyCondFailedErr,
		},
		{
			name:    "incorrect bucket name",
			fv:      defaultFormVals.Clone().Set("Bucket", "incorrect"),
			wantErr: policyCondFailedErr,
		},
		{
			name:    "incorrect ContentType",

    </default>
  </defaults>

  <classes>
    <class rootElement="true" xml.tagName="extensions" xsd.compositor="sequence">
      <name>CoreExtensions</name>
      <description>Extensions to load.</description>
      <version>1.0.0+</version>
      <fields>
        <field>
          <name>extensions</name>
          <description>A set of build extensions to use from this project.</description>
          <version>1.0.0+</version>

  private final transient int size;

  /*
   * We have some considerable complexity in these create methods because of
   * Builder.buildKeepingLast(). The same Builder might be called with buildKeepingLast() and then
   * buildOrThrow(), or vice versa. So in particular, if we modify alternatingKeysAndValues to

	if tableName != "public.company" {
		t.Errorf("invalid table name generated, got %v", tableName)
	}

	columdName := ns.ColumnName("", "NameCID")
	if columdName != "name_cid" {
		t.Errorf("invalid column name generated, got %v", columdName)
	}
}

type CustomReplacer struct {
	f func(string) string
}

func (r CustomReplacer) Replace(name string) string {
	return r.f(name)
}

func TestCustomReplacer(t *testing.T) {

	}

	fields := []*schema.Field{
		{Name: "ID", DBName: "id", BindNames: []string{"ID"}, DataType: schema.Uint, PrimaryKey: true, Size: 64, Creatable: true, Updatable: true, Readable: true, HasDefaultValue: true, AutoIncrement: true},
		{Name: "Name", DBName: "", BindNames: []string{"Name"}, DataType: "", Tag: `gorm:"-"`, Creatable: false, Updatable: false, Readable: false},

            result.setIntervalTime(DfTypeUtil.toInteger(source.get("intervalTime")));
            result.setMaxAccessCount(DfTypeUtil.toLong(source.get("maxAccessCount")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setNumOfThread(DfTypeUtil.toInteger(source.get("numOfThread")));
            result.setPaths(DfTypeUtil.toString(source.get("paths")));

						return nil, setupType,
							config.ErrInvalidErasureEndpoints(nil).Msg(fmt.Sprintf("same path '%s' can not be served by different port on same address", endpoint.Path))
					}
					pathIPMap[endpoint.Path] = IPSet.Union(hostIPSet)
				} else {
					pathIPMap[endpoint.Path] = hostIPSet
				}
			}
		}

		// Check whether same path is used for more than 1 local endpoints.
		{

	}{{
		SQL:    "create table ? (? ?, ? ?)",
		Vars:   []interface{}{clause.Table{Name: "users"}, clause.Column{Name: "id"}, clause.Expr{SQL: "int"}, clause.Column{Name: "name"}, clause.Expr{SQL: "text"}},
		Result: "create table `users` (`id` int, `name` text)",
	}, {
		SQL:          "name1 = @name AND name2 = @name",
		Vars:         []interface{}{sql.Named("name", "jinzhu")},
		Result:       "name1 = ? AND name2 = ?",