// IDs above that range are defined by third-party vendors.
	// Since ZIP lacked high precision timestamps (nor an official specification
	// of the timezone used for the date fields), many competing extra fields
	// have been invented. Pervasive use effectively makes them "official".
	//
	// See http://mdfs.net/Docs/Comp/Archiving/Zip/ExtraField
	zip64ExtraID       = 0x0001 // Zip64 extended information

import java.util.function.Function;
import java.util.stream.Collector;
import java.util.stream.Stream;
import org.jspecify.annotations.Nullable;

/**
 * A {@link ListMultimap} whose contents will never change, with many other important properties
 * detailed at {@link ImmutableCollection}.
 *
 * <p>See the Guava User Guide article on <a href=
 * "https://github.com/google/guava/wiki/ImmutableCollectionsExplained">immutable collections</a>.
 *

     * <li>Cleans up processed data and manages crawler sessions</li>
     * </ul>
     *
     * <p>The method includes error handling, retry logic, and will terminate
     * if too many empty results are encountered or if a system shutdown is requested.
     */
    @Override
    public void run() {
        if (dataService == null) {
            throw new FessSystemException("DataService is null.");

        SmbException ex = new SmbException(123, true);
        assertEquals("123", ex.getMessage());
        assertEquals(123, ex.getNtStatus());
    }

    /**
     * Parameterised test covering many error codes.
     * - Error code 0 returns 0 (NT_STATUS_SUCCESS)
     * - Negative values with 0xC0000000 bits set are returned as-is
     * - Positive values not in DOS_ERROR_CODES map to NT_STATUS_UNSUCCESSFUL
     */

    /*
     * The entrySet() of ConcurrentHashMap, unlike that of other Map
     * implementations, supports add() under JDK8. This seems problematic, but I
     * didn't see that discussed in the review, which included many other
     * changes: https://mail.openjdk.org/pipermail/core-libs-dev/2013-May/thread.html#17367
     *
     * TODO(cpovirk): decide what the best long-term action here is: force users

    return CompactHashMap.create();
  }

  /**
   * Returns the platform preferred map implementation that preserves insertion order when used only
   * for insertions, with a hint for how many entries to expect.
   */
  static <K extends @Nullable Object, V extends @Nullable Object>
      Map<K, V> preservesInsertionOrderOnPutsMapWithExpectedSize(int expectedSize) {

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrSTSTooManyIntermediateCAs: {
		Code:           "TooManyIntermediateCAs",
		Description:    "The provided client certificate contains too many intermediate CA certificates",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrSTSNotInitialized: {
		Code:           "STSNotInitialized",
		Description:    "STS API not initialized, please try again.",

      private fun evictToRecoverBytes(bytesToRecover: Int): Int {
        var bytesToRecover = bytesToRecover
        var entriesToEvict = 0
        if (bytesToRecover > 0) {
          // determine how many headers need to be evicted.
          var j = dynamicTable.size - 1
          while (j >= nextHeaderIndex && bytesToRecover > 0) {
            val toEvict = dynamicTable[j]!!
            bytesToRecover -= toEvict.hpackSize

 */

package com.google.common.math;

import java.math.BigInteger;
import java.util.Random;
import org.jspecify.annotations.NullUnmarked;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying

machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application...