houveríamos
houveriam
sou
somos
são
era
éramos
eram
fui
foi
fomos
foram
fora
fôramos
seja
sejamos
sejam
fosse
fôssemos
fossem
for
formos
forem
serei
será
seremos
serão
seria
seríamos
seriam
tenho
tem
temos
tém
tinha
tínhamos
tinham
tive
teve
tivemos
tiveram
tivera
tivéramos
tenha

"houveremos", "houverão", "houveria", "houveríamos", "houveriam", "sou", "somos", "são", "era", "éramos", "eram", "fui", "foi", "fomos", "foram", "fora", "fôramos", "seja", "sejamos", "sejam", "fosse", "fôssemos", "fossem", "for", "formos", "forem", "serei", "será", "seremos", "serão", "seria", "seríamos", "seriam", "tenho", "tem", "temos", "tém", "tinha", "tínhamos", "tinham", "tive", "teve", "tivemos", "tiveram", "tivera", "tivéramos", "tenha", "tenhamos", "tenham", "tivesse", "tivéssemos", "tivessem",...

"houveremos", "houverão", "houveria", "houveríamos", "houveriam", "sou", "somos", "são", "era", "éramos", "eram", "fui", "foi", "fomos", "foram", "fora", "fôramos", "seja", "sejamos", "sejam", "fosse", "fôssemos", "fossem", "for", "formos", "forem", "serei", "será", "seremos", "serão", "seria", "seríamos", "seriam", "tenho", "tem", "temos", "tém", "tinha", "tínhamos", "tinham", "tive", "teve", "tivemos", "tiveram", "tivera", "tivéramos", "tenha", "tenhamos", "tenham", "tivesse", "tivéssemos", "tivessem",...

fueseis
fuesen
siendo
sido
tengo
tienes
tiene
tenemos
tenéis
tienen
tenga
tengas
tengamos
tengáis
tengan
tendré
tendrás
tendrá
tendremos
tendréis
tendrán
tendría
tendrías
tendríamos
tendríais
tendrían
tenía
tenías
teníamos
teníais
tenían
tuve
tuviste
tuvo
tuvimos
tuvisteis
tuvieron
tuviera
tuvieras

        /**
         * Constructs a Field from OpenSearch Terms aggregation.
         * Decodes the field name and processes all term buckets to extract
         * field values and their document counts.
         *
         * @param termFacet the OpenSearch Terms aggregation containing field facet data
         */
        public Field(final Terms termFacet) {

         * - Symbol characters (!-/, :-@, [-`, {-~) are appended to the buffer.
         * - Duplicate terms can be removed based on the `duplicateTermRemoved` flag.
         * - The maximum size of alphanumeric and symbol terms can be limited by `maxAlphanumTermSize` and `maxSymbolTermSize` respectively.
         *
         * @return A processed string with terms and spaces, or an empty string if the reader is null or an IOException occurs.
         */

    /** CRUD operation mode (CREATE, EDIT, etc.) */
    @ValidateTypeFailure
    public Integer crudMode;

    /** Input terms (comma-separated) that will be mapped to the output term */
    @Required
    @Size(max = 1000)
    public String inputs;

    /** Output term that input terms will be mapped to */
    @Size(min = 1, max = 1000)
    public String output;

    /**

    /** The CRUD operation mode for form processing */
    @ValidateTypeFailure
    public Integer crudMode;

    /** The input terms that should be considered synonymous */
    @Required
    @Size(max = 1000)
    public String inputs;

    /** The output synonyms that should be matched for the input terms */
    @Required
    @Size(max = 1000)
    public String outputs;

    /**

import org.opensearch.search.aggregations.AggregationBuilders;
import org.opensearch.search.aggregations.BucketOrder;
import org.opensearch.search.aggregations.bucket.terms.Terms;
import org.opensearch.search.aggregations.bucket.terms.Terms.Bucket;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

/**
 * Helper class for managing crawling information and statistics.

DAMAGES.

                     END OF TERMS AND CONDITIONS

           How to Apply These Terms to Your New Libraries

  If you develop a new library, and you want it to be of the greatest
possible use to the public, we recommend making it free software that
everyone can redistribute and change.  You can do so by permitting
redistribution under these terms (or, alternatively, under the terms of the
ordinary General Public License).