* governing permissions and limitations under the License.
 */
package org.codelibs.fess.suggest.index.writer;

import org.codelibs.fess.suggest.entity.SuggestItem;
import org.codelibs.fess.suggest.settings.SuggestSettings;
import org.opensearch.index.query.QueryBuilder;
import org.opensearch.transport.client.Client;

/**

    ImmutableMap<E, Integer> index = Maps.indexMap(set);
    checkNonnegative(size, "size");
    checkArgument(size <= index.size(), "size (%s) must be <= set.size() (%s)", size, index.size());
    if (size == 0) {
      return ImmutableSet.<Set<E>>of(ImmutableSet.<E>of());
    } else if (size == index.size()) {
      return ImmutableSet.<Set<E>>of(index.keySet());
    }
    return new AbstractSet<Set<E>>() {

    @Override
    public int size() {
      return RegularImmutableTable.this.size();
    }

    @Override
    Cell<R, C, V> get(int index) {
      return getCell(index);
    }

    @Override
    public boolean contains(@Nullable Object object) {
      if (object instanceof Cell) {
        Cell<?, ?, ?> cell = (Cell<?, ?, ?>) object;

import java.io.Reader;

import org.codelibs.analysis.ja.IterationMarkCharFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractCharFilterFactory;

public class IterationMarkCharFilterFactory extends AbstractCharFilterFactory {

  }
}

internal fun String.read14BitInt(index: Int): Int {
  val b0 = this[index].code
  val b1 = this[index + 1].code
  return (b0 shl 7) + b1
}

/**
 * An extremely generic binary search that doesn't know what data it's searching over. The caller
 * provides indexes and a comparison function, and this calls that function iteratively.
 *

TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetShape(
    TF_ShapeAndTypeList* shape_list, int index, const int64_t* dims,
    int num_dims);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetUnknownShape(
    TF_ShapeAndTypeList* shape_list, int index);
TF_CAPI_EXPORT extern void TF_ShapeAndTypeListSetDtype(
    TF_ShapeAndTypeList* shape_list, int index, TF_DataType dtype);
TF_CAPI_EXPORT extern void TF_DeleteShapeAndTypeList(

        stage: Stage,
        flameGraphSpec: FlameGraphGeneration,
    ): PerformanceTestsPass {
        val flameGraphBuilds =
            flameGraphSpec.buildSpecs.mapIndexed { index, buildSpec ->
                createFlameGraphBuild(model, stage, buildSpec, index)
            }
        val performanceTestProject = ManuallySplitPerformanceTestProject(model, flameGraphSpec, flameGraphBuilds)
        subProject(performanceTestProject)

package org.codelibs.opensearch.extension.analysis;

import org.apache.lucene.analysis.Tokenizer;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenizerFactory;

/**
 * Factory for {@link NGramSynonymTokenizer}.
 */
public final class NGramSynonymTokenizerFactory extends AbstractTokenizerFactory {

  if (ic->num_outputs() <= new_src.index) {
    status->status = tensorflow::errors::OutOfRange(
        "Cannot update edge. Output index [", new_src.index,
        "] is greater than the number of total outputs [", ic->num_outputs(),
        "].");
    return;
  }
  tensorflow::shape_inference::ShapeHandle shape = ic->output(new_src.index);

  tensorflow::shape_inference::InferenceContext* ic_dst =

        AtomicReferenceArray<E> table = this.table;
        int index = hash & (table.length() - 1);
        E first = table.get(index);

        for (E e = first; e != null; e = e.getNext()) {
          if (e == entry) {
            ++modCount;
            E newFirst = removeFromChain(first, e);
            newCount = this.count - 1;
            table.set(index, newFirst);
            this.count = newCount; // write-volatile