* the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *
   * @throws ArithmeticException if {@code mode} is {@link RoundingMode#UNNECESSARY} and {@code x}
   *     is not precisely representable as a {@code double}
   * @since 30.0
   */

		semanticRoles.edit.Rules[i] = rule
	}

	// confirm that the view role doesn't already have extra powers
	for _, rule := range viewEscalatingNamespaceResources {
		if covers, _ := validation.Covers(semanticRoles.view.Rules, []rbacv1.PolicyRule{rule}); covers {
			t.Errorf("view has extra powers: %#v", rule)
		}
	}
	semanticRoles.view.Rules = append(semanticRoles.view.Rules, viewEscalatingNamespaceResources...)

	cov := coverage()
	clear(cov)
}

// SnapshotCoverage copies the current counter values into coverageSnapshot,
// preserving them for later inspection. SnapshotCoverage also rounds each
// counter down to the nearest power of two. This lets the coordinator store
// multiple values for each counter by OR'ing them together.
func SnapshotCoverage() {
	cov := coverage()
	for i, b := range cov {
		b |= b >> 1
		b |= b >> 2
		b |= b >> 4

namespace mlir {
namespace tf_test {
namespace {

#define GEN_PASS_DEF_TESTTENSORFLOWLOWERTFPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/test_passes.h.inc"

// Lowers some of the TensorFlow operations that can be represented using other
// TensorFlow operations.
struct LowerTF : public impl::TestTensorFlowLowerTFPassBase<LowerTF> {
  void runOnOperation() override {

   * the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *
   * @throws ArithmeticException if {@code mode} is {@link RoundingMode#UNNECESSARY} and {@code x}
   *     is not precisely representable as a {@code double}
   * @since 30.0
   */

        <option value="$PROJECT_DIR$/plugins/kotlinx-serialization/testData" />
        <option value="$PROJECT_DIR$/plugins/assign-plugin/testData" />
        <option value="$PROJECT_DIR$/plugins/power-assert/testData" />
        <option value="$PROJECT_DIR$/analysis/analysis-api/testData" />
        <option value="$PROJECT_DIR$/analysis/symbol-light-classes/testData" />

		print(" ", x)
	}
	println()
}

// IntRegArgAddr returns a pointer inside of r.Ints[reg] that is appropriately
// offset for an argument of size argSize.
//
// argSize must be non-zero, fit in a register, and a power-of-two.
//
// This method is a helper for dealing with the endianness of different CPU
// architectures, since sub-word-sized arguments in big endian architectures

	//
	// x & -x leaves only the right-most bit set in the word. Let k be the
	// index of that bit. Since only a single bit is set, the value is two
	// to the power of k. Multiplying by a power of two is equivalent to
	// left shifting, in this case by k bits. The de Bruijn (64 bit) constant
	// is such that all six bit, consecutive substrings are distinct.

        a full-time Guava team member. [Feedback](https://stackoverflow.com/a/4543114) from our
        users indicates that they really appreciate Guava's high power-to-weight ratio. It's
        important to us to keep Guava as easy to use and understand as we can. That means boiling
        features down to compact but powerful abstractions, and controlling feature bloat carefully.

// To keep the division operation efficient, we round that up to 4*64, or 256.
// Given what cputicks represents, we use this on all other platforms except
// for PowerPC.
// The suggested increment frequency for PowerPC's time base register is
// 512 MHz according to Power ISA v2.07 section 6.2, so we use 32 on ppc64
// and ppc64le.
const traceTimeDiv = (1-osHasLowResClockInt)*64 + osHasLowResClockInt*(256-224*(goarch.IsPpc64|goarch.IsPpc64le))