// Check the first 100,000 integers
    for (int i = 0; i < 100000; i++) {
      assertEquals(LongMath.isPrime(i), IntMath.isPrime(i));
    }

    // Then check 1000 deterministic pseudo-random int values.
    Random rand = new Random(1);
    for (int i = 0; i < 1000; i++) {
      int n = rand.nextInt(Integer.MAX_VALUE);
      assertEquals(LongMath.isPrime(n), IntMath.isPrime(n));
    }

 *       Collections#unmodifiableCollection}, whose contents change whenever the wrapped collection
 *       is modified.
 *   <li><b>Null-hostility.</b> This collection will never contain a null element.
 *   <li><b>Deterministic iteration.</b> The iteration order is always well-defined, depending on
 *       how the collection was created. Typically this is insertion order unless an explicit

   * E} is an {@link Enum} type, use {@link EnumSet#noneOf} instead. Otherwise, strongly consider
   * using a {@code LinkedHashSet} instead, at the cost of increased memory footprint, to get
   * deterministic iteration behavior.
   *
   * <p><b>Note:</b> this method is now unnecessary and should be treated as deprecated. Instead,
   * use the {@code HashSet} constructor directly, taking advantage of <a

   *   while (i.hasNext()) {
   *     foo(i.next());
   *   }
   * }
   * }
   *
   * <p>Failure to follow this advice may result in non-deterministic behavior.
   *
   * <p>The returned table will be serializable if the specified table is serializable.
   *
   * @param table the table to be wrapped in a synchronized view

import java.util.NoSuchElementException;
import java.util.Set;
import java.util.function.Consumer;
import org.jspecify.annotations.Nullable;

/**
 * An implementation of {@code ListMultimap} that supports deterministic iteration order for both
 * keys and values. The iteration order is preserved across non-distinct key values. For example,
 * for the following multimap definition:
 *
 * {@snippet :

  //   so that it looks like we timed out even though we didn't. For comparison FutureTask respects
  //   completion preferably and AQS is non-deterministic (depends on where in the queue the waiter
  //   is). If we wanted to be strict about it, we could store the unpark() time in the Waiter node

  //   so that it looks like we timed out even though we didn't. For comparison FutureTask respects
  //   completion preferably and AQS is non-deterministic (depends on where in the queue the waiter
  //   is). If we wanted to be strict about it, we could store the unpark() time in the Waiter node

	// Write PAX records to the output.
	isGlobal := hdr.Typeflag == TypeXGlobalHeader
	if len(paxHdrs) > 0 || isGlobal {
		// Write each record to a buffer.
		var buf strings.Builder
		// Sort keys for deterministic ordering.
		for _, k := range slices.Sorted(maps.Keys(paxHdrs)) {
			rec, err := formatPAXRecord(k, paxHdrs[k])
			if err != nil {
				return err
			}
			buf.WriteString(rec)
		}

   * iterator will generally throw a {@link ConcurrentModificationException}. Thus, in the face of
   * concurrent modification, the iterator fails quickly and cleanly, rather than risking arbitrary,
   * non-deterministic behavior at an undetermined time in the future.
   *
   * <p>Note that the fail-fast behavior of an iterator cannot be guaranteed as it is, generally

            python_bin_path,
            '-c',
            'import sysconfig;print(sysconfig.get_path("purelib")',
        ])
    ]

  all_paths = set(python_paths + library_paths)
  # Sort set so order is deterministic
  all_paths = sorted(all_paths)

  paths = []
  for path in all_paths:
    if os.path.isdir(path):
      paths.append(path)
  return paths


def get_python_major_version(python_bin_path):