import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.opensearch.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.opensearch.config.bsentity.dbmeta.WebConfigDbm;

/**
 * ${table.comment}
 * @author ESFlute (using FreeGen)
 */
public class BsWebConfig extends EsAbstractEntity {

    // ===================================================================================

      <name>PersistedToolchains</name>
      <superClass>TrackableBase</superClass>
      <description>
        The {@code &lt;toolchains&gt;} element is the root of the descriptor.
        The following table lists all the possible child elements.
      </description>
      <version>1.0.0+</version>
      <fields>
        <field>
          <name>toolchains</name>
          <version>1.0.0+</version>

	All         bool                 `parser:"  @\"*\""`
	Expressions []*AliasedExpression `parser:"| @@ { \",\" @@ }"`
}

// TableExpression represents the FROM clause
type TableExpression struct {
	Table *JSONPath `parser:"@@"`
	As    string    `parser:"( \"AS\"? @Ident )?"`
}

// JSONPathElement represents a keypath component
type JSONPathElement struct {

        return doFindEpg(_epgMap, prop);
    }

    // ===================================================================================
    //                                                                          Table Info
    //                                                                          ==========
    protected final String _tableDbName = "data_config";
    protected final String _tableDispName = "data_config";

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

 * good job of distributing the elements to the buckets to a distribution not far from uniform), and
 * amortized since some operations can trigger a hash table resize.
 *
 * <p>This implementation consumes significantly less memory than {@code java.util.LinkedHashSet} or
 * even {@code java.util.HashSet}, and places considerably less load on the garbage collector. Like

 * it is either open or unbounded. The construct {@code {x | statement}} is read "the set of all
 * <i>x</i> such that <i>statement</i>.")
 *
 * <blockquote>
 *
 * <table>
 * <caption>Range Types</caption>
 * <tr><th>Notation        <th>Definition               <th>Factory method
 * <tr><td>{@code (a..b)}  <td>{@code {x | a < x < b}}  <td>{@link Range#open open}

			field.Readable = false

			cacheStore := &sync.Map{}
			cacheStore.Store(embeddedCacheKey, true)
			if field.EmbeddedSchema, err = getOrParse(fieldValue.Interface(), cacheStore, embeddedNamer{Table: schema.Table, Namer: schema.namer}); err != nil {
				schema.err = err
			}

			for _, ef := range field.EmbeddedSchema.Fields {
				ef.Schema = schema
				ef.OwnerSchema = field.EmbeddedSchema

        return doFindEpg(_epgMap, prop);
    }

    // ===================================================================================
    //                                                                          Table Info
    //                                                                          ==========
    protected final String _tableDbName = "web_config";
    protected final String _tableDispName = "web_config";

}

// asciiSet is a 256-byte lookup table for fast ASCII character membership testing.
// Each element corresponds to an ASCII character value, with true indicating the
// character is in the set. Using bool instead of byte allows the compiler to
// eliminate the comparison instruction, as bool values are guaranteed to be 0 or 1.
//
// The full 256-element table is used rather than a 128-element table to avoid