(in px)\n        .map(str => toValue(str, measurement, popperOffsets, referenceOffsets))\n    );\n  });\n\n  // Loop trough the offsets arrays and execute the operations\n  ops.forEach((op, index) => {\n    op.forEach((frag, index2) => {\n      if (isNumeric(frag)) {\n        offsets[index] += frag * (op[index2 - 1] === '-' ? -1 : 1);\n      }\n    });\n  });\n  return offsets;\n}\n\n/**\n * @function\n * @memberof Modifiers\n * @argument {Object} data - The data object generated by update method\n...

.filter(item => $(item).is(':visible'))\n\n    if (items.length === 0) {\n      return\n    }\n\n    let index = items.indexOf(event.target)\n\n    if (event.which === ARROW_UP_KEYCODE && index > 0) { // Up\n      index--\n    }\n\n    if (event.which === ARROW_DOWN_KEYCODE && index < items.length - 1) { // Down\n      index++\n    }\n\n    if (index < 0) {\n      index = 0\n    }\n\n    items[index].focus()\n  }\n}\n\n/**\n * Data API implementation\n */\n\n$(document)\n  .on(EVENT_KEYDOWN_DATA_API,...

      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 =

.filter((item) => $(item).is(':visible'))\n\n    if (items.length === 0) {\n      return\n    }\n\n    let index = items.indexOf(event.target)\n\n    if (event.which === ARROW_UP_KEYCODE && index > 0) { // Up\n      index--\n    }\n\n    if (event.which === ARROW_DOWN_KEYCODE && index < items.length - 1) { // Down\n      index++\n    }\n\n    if (index < 0) {\n      index = 0\n    }\n\n    items[index].focus()\n  }\n}\n\n/**\n * ------------------------------------------------------------------------\n...

        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

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;

<p>
If <code>a</code> is not a map:
</p>
<ul>
	<li>the index <code>x</code> must be of integer type or an untyped constant</li>
	<li>a constant index must be non-negative and
	    <a href="#Representability">representable</a> by a value of type <code>int</code></li>
	<li>a constant index that is untyped is given type <code>int</code></li>
	<li>the index <code>x</code> is <i>in range</i> if <code>0 &lt;= x &lt; len(a)</code>,

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;