}

// ParseUniqueConstraints parse schema unique constraints
func (schema *Schema) ParseUniqueConstraints() map[string]UniqueConstraint {
	uniques := make(map[string]UniqueConstraint)
	for _, field := range schema.Fields {
		if field.Unique {
			name := schema.namer.UniqueName(schema.Table, field.DBName)
			uniques[name] = UniqueConstraint{Name: name, Field: field}
		}
	}
	return uniques

	}

	sort.Ints(valueIndexes)
	fields := make([]string, len(valueIndexes))
	for i := range valueIndexes {
		j := i + 1
		if j < len(valueIndexes) {
			fields[i] = strings.TrimSpace(input[valueIndexes[i]:valueIndexes[j]])
		} else {
			fields[i] = strings.TrimSpace(input[valueIndexes[i]:])
		}
	}
	return fields
}

// SetKVS - set specific key values per sub-system.

import org.lastaflute.web.validation.theme.conversion.ValidateTypeFailure;

import jakarta.validation.constraints.Size;

public class SearchForm extends SearchRequestParams {

    public Map<String, String[]> fields = new HashMap<>();

    public Map<String, String[]> as = new HashMap<>();

    @Size(max = 1000)
    public String q;

    @Size(max = 1000)
    public String sort;

    @ValidateTypeFailure

    public Integer offset;

    @ValidateTypeFailure
    public Integer pn;

    @ValidateTypeFailure
    public Integer num;

    public String[] lang;

    public Map<String, String[]> fields = new HashMap<>();

    public Map<String, String[]> as = new HashMap<>();

    public String[] ex_q;

    public String sdh;

    @Override
    public String getQuery() {
        return q;
    }

	// Junk at EOF.
	{"3 x", 3, false},
	// Big number
	{"4611686018427387904", 4611686018427387904, true},
}

func TestExpr(t *testing.T) {
	p := NewParser(nil, nil, nil) // Expression evaluation uses none of these fields of the parser.
	for i, test := range exprTests {
		p.start(lex.Tokenize(test.input))
		result := int64(p.expr())
		if result != test.output {

type Record struct {
	columnNames  []string
	csvRecord    []string
	nameIndexMap map[string]int64
}

// Get - gets the value for a column name. CSV fields do not have any
// defined type (other than the default string). So this function
// always returns fields using sql.FromBytes so that the type
// specified/implied by the query can be used, or can be automatically
// converted based on the query.

package gorm

import "time"

// Model a basic GoLang struct which includes the following fields: ID, CreatedAt, UpdatedAt, DeletedAt
// It may be embedded into your model or you may build your own model without it
//
//	type User struct {
//	  gorm.Model
//	}
type Model struct {
	ID        uint `gorm:"primarykey"`
	CreatedAt time.Time
	UpdatedAt time.Time
	DeletedAt DeletedAt `gorm:"index"`

    /**
     * Set a field with the specified date. If the field is not found, it is added. If the field is
     * found, the existing values are replaced.
     */
    operator fun set(
      name: String,
      value: Date,
    ) = set(name, value.toHttpDateString())

    /**
     * Set a field with the specified instant. If the field is not found, it is added. If the field

				switch reflectValue.Kind() {
				case reflect.Struct:
					for _, field := range s.Fields {
						selected := selectedColumns[field.DBName] || selectedColumns[field.Name]
						if selected || (!restricted && field.Readable) {
							if v, isZero := field.ValueOf(stmt.Context, reflectValue); !isZero || selected {
								if field.DBName != "" {

      }
    }
  ],
  "properties": {
    "@timestamp": {
      "type": "date",
      "format": "epoch_millis"
    },
    "docFreq": {
      "type": "long"
    },
    "fields": {
      "type": "keyword"
    },
    "kinds": {
      "type": "keyword"
    },
    "queryFreq": {
      "type": "long"
    },
    "roles": {
      "type": "keyword"
    },
    "languages": {