class EdgeCasesTests {

        @Test
        @DisplayName("Should handle maximum size arrays")
        void testMaximumSizeArrays() {
            // Test with reasonably large arrays
            int[] largeCiphers = new int[100];
            for (int i = 0; i < 100; i++) {
                largeCiphers[i] = i;
            }

		deviceCwd = path.Join(deviceGoroot, "src", importPath)
	} else {
		deviceCwd = path.Join(deviceGopath, "src", importPath)
		if modDir != "" {
			// In module mode, the user may reasonably expect the entire module
			// to be present. Copy it over.
			deviceModDir := path.Join(deviceGopath, "src", modPath)
			if err := adb("exec-out", "mkdir", "-p", path.Dir(deviceModDir)); err != nil {
				return 0, err

 * superclasses, and all interfaces implemented by superclasses.
 *
 * <p>When {@code post} is called, all registered subscribers for an event are run in sequence, so
 * subscribers should be reasonably quick. If an event may trigger an extended process (such as a
 * database load), spawn a thread or queue it for later. (For a convenient way to do this, use an
 * {@link AsyncEventBus}.)
 *
 * <h2>Subscriber Methods</h2>

  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0
  // * We are more responsive to completion than timeouts. This is because parkNanos depends on
  //   system scheduling and as such we could either miss our deadline, or unpark() could be delayed

  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.
  // * We want to behave reasonably for timeouts of 0
  // * We are more responsive to completion than timeouts. This is because parkNanos depends on
  //   system scheduling and as such we could either miss our deadline, or unpark() could be delayed

  }

  /**
   * Returns an estimate for the total number of distinct elements that have been added to this
   * Bloom filter. This approximation is reasonably accurate if it does not exceed the value of
   * {@code expectedInsertions} that was used when constructing the filter.
   *
   * @since 22.0
   */
  public long approximateElementCount() {

    root function must still compute square roots.)

These requirements apply to the modified work as a whole.  If
identifiable sections of that work are not derived from the Library,
and can be reasonably considered independent and separate works in
themselves, then this License, and its terms, do not apply to those
sections when you distribute them as separate works.  But when you

            assertEquals(threadCount * operationsPerThread, completedVerifies.get(), "All verifies should complete");

            // Performance check - should complete reasonably fast with optimized locking
            long duration = endTime - startTime;
            assertTrue(duration < 5000, "Concurrent verifies should complete within 5 seconds");
        }
    }

    @Nested

    val calls = authCallsForHeader("WWW-Authenticate: Foo realm=\"Bar\"")
    assertThat(calls.size).isEqualTo(0)
  }

  // Digest auth is currently unsupported. Test that digest requests should fail reasonably.
  // http://code.google.com/p/android/issues/detail?id=11140
  @Test
  fun digestAuthentication() {
    val calls =
      authCallsForHeader(
        "WWW-Authenticate: Digest " +

")+len(label) > 255 || len(context) > 255 { // It should be impossible for this to panic: labels are fixed strings, // and context is either a fixed-length computed hash, or parsed from a // field which has the same length limitation. // // Another reasonable approach might be to return a randomized slice if // we encounter an error, which would break the connection, but avoid // panicking. This would perhaps be safer but significantly more // confusing to users. panic("tls13: label or context too long")...