int hash = map.hash(key);
      int index = hash & (table.length() - 1);
      ReferenceEntry<Object, Object> first = table.get(index);
      entry = map.newEntry(key, hash, first);
      ValueReference<Object, Object> valueRef = map.newValueReference(entry, value, 1);
      entry.setValueReference(valueRef);
      segment.recordWrite(entry, 1, map.ticker.read());
      table.set(index, entry);
      originalMap.put(key, value);

      int hash = map.hash(key);
      int index = hash & (table.length() - 1);
      ReferenceEntry<Object, Object> first = table.get(index);
      entry = map.newEntry(key, hash, first);
      ValueReference<Object, Object> valueRef = map.newValueReference(entry, value, 1);
      entry.setValueReference(valueRef);
      segment.recordWrite(entry, 1, map.ticker.read());
      table.set(index, entry);
      originalMap.put(key, value);

  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 =

    return merged_lifespan  # type: ignore[return-value]


async def serialize_response(
    *,
    field: Optional[ModelField] = None,
    response_content: Any,
    include: Optional[IncEx] = None,
    exclude: Optional[IncEx] = None,
    by_alias: bool = True,
    exclude_unset: bool = False,
    exclude_defaults: bool = False,
    exclude_none: bool = False,
    is_coroutine: bool = True,
) -> Any:

        preWriteCleanup(now);

        int newCount = this.count - 1;
        AtomicReferenceArray<ReferenceEntry<K, V>> table = this.table;
        int index = hash & (table.length() - 1);
        ReferenceEntry<K, V> first = table.get(index);

        for (e = first; e != null; e = e.getNext()) {
          K entryKey = e.getKey();
          if (e.getHash() == hash
              && entryKey != null

true to walk the placements counterclockwise\n * @returns {Array} placements including their variations\n */\nexport default function clockwise(placement, counter = false) {\n  const index = validPlacements.indexOf(placement);\n  const arr = validPlacements\n    .slice(index + 1)\n    .concat(validPlacements.slice(0, index));\n  return counter ? arr.reverse() : arr;\n}\n","import isNumeric from '../utils/isNumeric';\nimport getClientRect from '../utils/getClientRect';\nimport find from '../utils/find';\n\n/**\n...

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

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