}

    public static SuggestSettingsBuilder builder() {
        return new SuggestSettingsBuilder();
    }

    public static class DefaultKeys {
        public static final String INDEX = "index";
        public static final String SUPPORTED_FIELDS = "supportedFields";
        public static final String TAG_FIELD_NAME = "tagFieldName";
        public static final String ROLE_FIELD_NAME = "roleFieldName";

import org.apache.lucene.analysis.TokenStream;
import org.codelibs.analysis.ja.CharTypeFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenFilterFactory;

public class CharTypeFilterFactory extends AbstractTokenFilterFactory {

    private final boolean alphabetic;

    private final boolean digit;

def test_post_body(client: TestClient):
    data = {"2": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 200, response.text
    assert response.json() == data


@needs_py39
def test_post_invalid_body(client: TestClient):
    data = {"foo": 2.2, "3": 3.3}
    response = client.post("/index-weights/", json=data)
    assert response.status_code == 422, response.text

import org.apache.lucene.analysis.TokenStream;
import org.codelibs.analysis.en.AlphaNumWordFilter;
import org.opensearch.common.settings.Settings;
import org.opensearch.env.Environment;
import org.opensearch.index.IndexSettings;
import org.opensearch.index.analysis.AbstractTokenFilterFactory;

public class AlphaNumWordFilterFactory extends AbstractTokenFilterFactory {

    private final int maxTokenLength;

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 {

      int i = 0;
      for (ListenableFuture<? extends InputT> future : futures) {
        int index = i++;
        if (future.isDone()) {
          processAllMustSucceedDoneFuture(index, future);
        } else {
          future.addListener(
              () -> processAllMustSucceedDoneFuture(index, future), directExecutor());
        }
      }
    } else {
      /*

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

    extends UnmodifiableListIterator<E> {
  private final int size;
  private int position;

  /** Returns the element with the specified index. This method is called by {@link #next()}. */
  @ParametricNullness
  protected abstract E get(int index);

  /**
   * Constructs an iterator across a sequence of the given size whose initial position is 0. That

from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: Union[int, None] = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: Union[int, None] = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}

from sqlmodel import Field, Session, SQLModel, create_engine, select


class Hero(SQLModel, table=True):
    id: int | None = Field(default=None, primary_key=True)
    name: str = Field(index=True)
    age: int | None = Field(default=None, index=True)
    secret_name: str


sqlite_file_name = "database.db"
sqlite_url = f"sqlite:///{sqlite_file_name}"

connect_args = {"check_same_thread": False}