public void testConstructor2NPE() {
    double[] a = null;
    assertThrows(NullPointerException.class, () -> new AtomicDoubleArray(a));
  }

  /** constructor with array is of same size and has all elements */
  public void testConstructor2() {
    AtomicDoubleArray aa = new AtomicDoubleArray(VALUES);
    assertEquals(VALUES.length, aa.length());
    for (int i = 0; i < VALUES.length; i++) {

[NOTE]
====
GradleRunner supports the same range of Gradle versions as the Tooling API.

// for other traces taken on the same machine using the same clock
// (i.e. no reboots in between).
//
// The actual absolute value of the timestamp is only meaningful in
// relation to other timestamps from the same clock.
//
// BUG: Timestamps coming from traces on Windows platforms are
// only comparable with timestamps from the same trace. Timestamps

		x.limbs[i] = uint(limbs[i])
	}
	return x
}

// Bytes returns x as a zero-extended big-endian byte slice. The size of the
// slice will match the size of m.
//
// x must have the same size as m and it must be reduced modulo m.
func (x *Nat) Bytes(m *Modulus) []byte {
	i := m.Size()
	bytes := make([]byte, i)
	for _, limb := range x.limbs {
		for j := 0; j < _S; j++ {
			i--
			if i < 0 {

==============================================================================*/

// This pass clusters the TensorFlow ops by host. The program generated by this
// pass will have one function per host where all operations in the same
// function are placed on the same host. Each result of the per-host function
// will have a "tf.device" attribute which specifies the device assignment of
// the result.
//

// built from two source files with the same name.
func pluginPath(a *Action) string {
	p := a.Package
	if p.ImportPath != "command-line-arguments" {
		return p.ImportPath
	}
	h := sha1.New()
	buildID := a.buildID
	if a.Mode == "link" {
		// For linking, use the main package's build ID instead of
		// the binary's build ID, so it is the same hash used in
		// compiling and linking.

                                              Tensor* output_tensor,
                                              StatusCallback done) const {
  done(errors::Unimplemented("XLA->XLA same-device copies not implemented."));
}

void XlaDeviceContext::CopyCPUTensorToDevice(const Tensor* cpu_tensor,
                                             Device* device,

  }

  /**
   * Returns an immutable bimap containing the given entries. The returned bimap iterates over
   * entries in the same order as the original iterable.
   *
   * @throws IllegalArgumentException if two keys have the same value or two values have the same
   *     key
   * @throws NullPointerException if any key, value, or entry is null
   * @since 19.0
   */

    }
  };

  // If `tf.resource_arg_unique_id` argument attributes are present for
  // resource-type arguments, use those to decide which arguments correspond to
  // the same resource (and thus need the same ID). Otherwise, they must not
  // alias.
  const bool has_arg_unique_id_attrs =
      llvm::any_of(func_op.getArguments(), [&](const BlockArgument& arg) {

static llvm::SmallVector<Operation *> GetClusteringCandidates(
    const ClusteringState &state, Source source) {
  // Users of operation result must be in the same block and placed on the same
  // device.
  if (auto op = source.dyn_cast<Operation *>()) {
    auto range = llvm::make_filter_range(op->getUsers(), [&](Operation *user) {
      bool same_block = user->getBlock() == op->getBlock();