* for document data. This class wraps an existing map and provides custom behavior
 * for the entrySet method to ensure language fields appear first in iteration order.
 * Used throughout the Fess search system for document data manipulation.
 *
 */
public class DocMap implements Map<String, Object> {

    /** The key used for language field identification */

`.add_task()` receives as arguments:

* A task function to be run in the background (`write_notification`).
* Any sequence of arguments that should be passed to the task function in order (`email`).
* Any keyword arguments that should be passed to the task function (`message="some notification"`).

## Dependency Injection { #dependency-injection }

You can have sub-dependencies and "trees" of sub-dependencies of any size and shape, and any or all of them can use `yield`.

**FastAPI** will make sure that the "exit code" in each dependency with `yield` is run in the correct order.

For example, `dependency_c` can have a dependency on `dependency_b`, and `dependency_b` on `dependency_a`:

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[6,14,22] *}

And all of them can use `yield`.

      for (int i = 0; i < striped.size(); i++) {
        indexByLock.put(striped.getAt(i), i);
      }

      // ensure that bulkGet returns locks in monotonically increasing order
      for (int objectsNum = 1; objectsNum <= striped.size() * 2; objectsNum++) {
        Set<Object> objects = Sets.newHashSetWithExpectedSize(objectsNum);
        for (int i = 0; i < objectsNum; i++) {

      for (int i = 0; i < striped.size(); i++) {
        indexByLock.put(striped.getAt(i), i);
      }

      // ensure that bulkGet returns locks in monotonically increasing order
      for (int objectsNum = 1; objectsNum <= striped.size() * 2; objectsNum++) {
        Set<Object> objects = Sets.newHashSetWithExpectedSize(objectsNum);
        for (int i = 0; i < objectsNum; i++) {

  export -p | grep TFCI > "$FROM_ENV"

  # Source the default ci values
  source ./ci/official/envs/ci_default

  # TODO(angerson) write this documentation
  # Sources every env, in order, from the comma-separated list "TFCI"
  # Assumes variables will resolve themselves correctly.
  set +u
  for env_file in ${TFCI//,/ }; do
    source "./ci/official/envs/$env_file"
  done
  set -u

        }
        assertEquals(num, count);

        reader = new ESSourceReader(client, settings, indexName);
        reader.setScrollSize(1000);
        reader.addSort(SortBuilders.fieldSort("field2").order(SortOrder.DESC));
        count = 0;
        prev = Integer.MAX_VALUE;
        while ((source = reader.read()) != null) {
            int current = Integer.parseInt(source.get("field2").toString());

     */
    public String jobLogging;

    /**
     * Whether the scheduled job is available.
     */
    public String available;

    /**
     * Sort order of the scheduled job.
     */
    public String sortOrder;

    /**
     * The user who created the scheduled job.
     */
    public String createdBy;

    /**

      h1 = fmix64(h1);
      h2 = fmix64(h2);

      h1 += h2;
      h2 += h1;

      return HashCode.fromBytesNoCopy(
          ByteBuffer.wrap(new byte[CHUNK_SIZE])
              .order(ByteOrder.LITTLE_ENDIAN)
              .putLong(h1)
              .putLong(h2)
              .array());
    }

    private static long fmix64(long k) {
      k ^= k >>> 33;
      k *= 0xff51afd7ed558ccdL;

import java.util.Arrays;
import org.jspecify.annotations.NullMarked;
import org.jspecify.annotations.Nullable;

/**
 * {@code ObjectCountLinkedHashMap} is a subclass of {@code ObjectCountHashMap} with insertion
 * iteration order, and uses arrays to store key objects and count values. Comparing to using a
 * traditional {@code LinkedHashMap} implementation which stores keys and count values as map