ExecutorService exec = newCachedThreadPool();

    int listenerCount = 20;
    CountDownLatch listenerLatch = new CountDownLatch(listenerCount);

    // Test that listeners added both before and after the value is available
    // get called correctly.
    for (int i = 0; i < 20; i++) {

      // Right in the middle start up a thread to close the latch.
      if (i == 10) {

        };

        DataConfig config = new DataConfig();
        DataStoreParams params = new DataStoreParams();
        IndexUpdateCallback callback = new TestIndexUpdateCallback();

        // Execute on both instances
        dataStore1.store(config, callback, params);
        dataStore2.store(config, callback, params);
        dataStore2.store(config, callback, params);

        // Verify independent operation

   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *
   * We use [executeCallCount] and [runCallCount] to defend against starting more threads than we
   * need. Both fields are guarded by `this`.
   */
  private var executeCallCount = 0
  private var runCallCount = 0

  /** Queues with tasks that are currently executing their [TaskQueue.activeTask]. */

   * {@link LoadingCache#get(Object) get(K)} method instead of this one.
   *
   * <p>Among the improvements that this method and {@code LoadingCache.get(K)} both provide are:
   *
   * <ul>
   *   <li>{@linkplain LoadingCache#get(Object) awaiting the result of a pending load} rather than
   *       starting a redundant one
   *   <li>eliminating the error-prone caching boilerplate

        case 23:
            ms_usage = 13;
        }
        return ms_usage;
    }

    /**
     * Calculates a MAC using HMAC-SHA1 with AES key derivation.
     * This method supports both AES-128 and AES-256 encryption types.
     *
     * @param usage the Kerberos key usage number for this operation
     * @param baseKey the base Kerberos key for key derivation

        verify(mockNdrBuffer).enc_ndr_long(1); // type
        verify(mockNdrBuffer).enc_ndr_referent("Test Remark", 1);
        verify(mockNdrBuffer, times(2)).enc_ndr_long(2); // permissions and sd_size both have value 2
        verify(mockNdrBuffer).enc_ndr_long(10); // max_uses
        verify(mockNdrBuffer).enc_ndr_long(5); // current_uses
        verify(mockNdrBuffer).enc_ndr_referent("C:\\test", 1);

        // Decode into second instance
        FileStandardInfo secondInstance = new FileStandardInfo();
        secondInstance.decode(encodedBuffer, 0, encodedBuffer.length);

        // Verify both instances have same values
        assertEquals(firstInstance.getSize(), secondInstance.getSize());
        assertEquals(expectedEndOfFile, secondInstance.getSize());
    }

    @Test

// - sf.LowerBound < sz, when sf.LowerBound alone is specified
// - sz < sf.UpperBound, when sf.UpperBound alone is specified
// - sf.LowerBound < sz < sf.UpperBound when both are specified,
func (sf BatchJobSizeFilter) InRange(sz int64) bool {
	if sf.UpperBound > 0 && sz > int64(sf.UpperBound) {
		return false
	}

	if sf.LowerBound > 0 && sz < int64(sf.LowerBound) {
		return false

#!/bin/bash -eu
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

        CommandExecutionException exception1 = new CommandExecutionException("Test");
        CommandExecutionException exception2 = new CommandExecutionException("Test");

        // Both instances should be of the same class
        assertEquals(exception1.getClass(), exception2.getClass());

        // Test serialization compatibility by checking class name