<label for="reading" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.dict_kuromoji_reading"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="reading"/>
                                        <la:text styleId="reading" property="reading" styleClass="form-control"/>

                                    <label for="reading" class="col-sm-3 text-sm-right col-form-label"><la:message
                                            key="labels.elevate_word_reading"/></label>
                                    <div class="col-sm-9">
                                        <la:errors property="reading"/>
                                        <la:text styleId="reading" property="reading" styleClass="form-control"/>

        final String keyProp = NAME_PREFIX + id;
        requestBody.put(KEY_PROPERTY, keyProp);
        requestBody.put("segmentation", "segment");
        requestBody.put("reading", "reading");
        requestBody.put("pos", "pos");
        return requestBody;
    }

    @Override
    protected Map<String, Object> getUpdateMap() {
        final Map<String, Object> updateMap = new HashMap<>();

    }

    public void setReading_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda) {
        setReading_Terms("reading", opLambda, null);
    }

    public void setReading_Terms(ConditionOptionCall<TermsAggregationBuilder> opLambda, OperatorCall<BsElevateWordCA> aggsLambda) {
        setReading_Terms("reading", opLambda, aggsLambda);
    }

 */
public class JobProcess {
    /**
     * The underlying system process.
     */
    protected Process process;

    /**
     * The thread that handles reading from the process input stream.
     */
    protected InputStreamThread inputStreamThread;

    /**
     * Constructs a new JobProcess with the specified process.
     * Uses the default buffer size and no output callback.

            final String term = tokens.get(i).getTerm();
            final String reading = readingTokens.get(i).getTerm();
            switch (term) {
            case "fess":
                matchCount++;
                assertEquals("fess", reading);
                break;
            case "検索":
                matchCount++;
                assertEquals("ケンサク", reading);
                break;
            case "無料":

                Thread.currentThread().getContextClassLoader().getResourceAsStream("suggest_settings/default-badwords.txt")))) {

            String line;
            while ((line = br.readLine()) != null) {
                if (line.length() > 0 && !line.startsWith("#")) {
                    list.add(line.trim());
                }
            }
        } catch (final Exception e) {

        super(messageBuilderFactory, secDispatcher);
    }

    @Override
    protected int doExecute(EncryptContext context) throws Exception {
        String encrypted = context.reader.readLine("Enter the password to decrypt: ");
        if (secDispatcher.isAnyEncryptedString(encrypted)) {
            context.terminal.writer().println(secDispatcher.decrypt(encrypted));
            return OK;
        } else {

      name = "INTEGER",
      tagClass = DerHeader.TAG_CLASS_UNIVERSAL,
      tag = 2L,
      codec =
        object : BasicDerAdapter.Codec<Long> {
          override fun decode(reader: DerReader): Long = reader.readLong()

          override fun encode(
            writer: DerWriter,
            value: Long,
          ) = writer.writeLong(value)
        },
    )

  val INTEGER_AS_BIG_INTEGER =
    BasicDerAdapter(

 */
package org.codelibs.fess.suggest.index.contents.document;

import java.io.Closeable;
import java.util.Map;

/**
 * Interface for reading documents and extracting their contents into a map.
 * Implementations of this interface should provide the logic for reading
 * documents and converting them into a key-value structure.
 *
 * <p>This interface extends {@link java.io.Closeable}, so implementations