// A binding is invalid if spec.paramRef.name refers to a non-existent resource.
  //
  // failurePolicy does not define how validations that evaluate to false are handled.
  //
  // When failurePolicy is set to Fail, ValidatingAdmissionPolicyBinding validationActions
  // define how failures are enforced.
  //
  // Allowed values are Ignore or Fail. Defaults to Fail.
  // +optional

====
include::sample[dir="snippets/configurationCache/topLevel/kotlin",files="build.gradle.kts[tags=workaround]"]
====
<1> Define the method inside an object.
<2> Define the variable in a smaller scope.

See link:{gradle-issues}22879[gradle/gradle#22879].

[[config_cache:not_yet_implemented:build_services_in_fingerprint]]

func (p *parser) parseSimpleStmt(mode int) (ast.Stmt, bool) {
	if p.trace {
		defer un(trace(p, "SimpleStmt"))
	}

	x := p.parseList(false)

	switch p.tok {
	case
		token.DEFINE, token.ASSIGN, token.ADD_ASSIGN,
		token.SUB_ASSIGN, token.MUL_ASSIGN, token.QUO_ASSIGN,
		token.REM_ASSIGN, token.AND_ASSIGN, token.OR_ASSIGN,
		token.XOR_ASSIGN, token.SHL_ASSIGN, token.SHR_ASSIGN, token.AND_NOT_ASSIGN:

#include "tensorflow/compiler/mlir/lite/stablehlo/transforms/passes.h"
#include "tensorflow/compiler/mlir/quantization/common/attrs_and_constraints.h"
#include "tensorflow/compiler/mlir/quantization/common/uniform_quantized_types.h"

#define DEBUG_TYPE "stablehlo-compose-uniform-quantized-type"

namespace mlir {
namespace odml {
namespace {

using ::mlir::quant::CreateI8F32UniformQuantizedPerAxisType;
using ::mlir::quant::CreateI8F32UniformQuantizedType;

	// A binding is invalid if spec.paramRef.name refers to a non-existent resource.
	//
	// failurePolicy does not define how validations that evaluate to false are handled.
	//
	// When failurePolicy is set to Fail, ValidatingAdmissionPolicyBinding validationActions
	// define how failures are enforced.
	//
	// Allowed values are Ignore or Fail. Defaults to Fail.
	// +optional

#include "tensorflow/compiler/mlir/tensorflow/utils/mangling_util.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"

namespace mlir {

namespace {

constexpr char kDeviceAttr[] = "device";

#define GEN_PASS_DEF_RESOURCEOPLIFTINGPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_device_passes.h.inc"

// Lift resource operations out of device computation.
struct ResourceOpLiftingPass

	// A binding is invalid if spec.paramRef.name refers to a non-existent resource.
	//
	// failurePolicy does not define how validations that evaluate to false are handled.
	//
	// When failurePolicy is set to Fail, ValidatingAdmissionPolicyBinding validationActions
	// define how failures are enforced.
	//
	// Allowed values are Ignore or Fail. Defaults to Fail.
	// +optional

#include "tensorflow/compiler/mlir/tf2xla/transforms/legalize_tf_with_tf2xla_passes.h"
#include "tensorflow/compiler/mlir/tf2xla/transforms/passes.h"
#include "xla/mlir_hlo/mhlo/IR/hlo_ops.h"

#define DEBUG_TYPE "tf-tfl-legalization"

namespace mlir {
namespace TFL {
namespace {
// Returns a TF_CastOp to I32. This function is used for CastOps that are

		// If the module (toolchain-speak for "executable or shared
		// library") we are linking contains the runtime package, it
		// will define the runtime.firstmoduledata symbol and we
		// truncate it back to 0 bytes so we can define its entire
		// contents in symtab.go:symtab().
		mdsb.SetSize(0)

		// In addition, on ARM, the runtime depends on the linker
		// recording the value of GOARM.

  * Licensed under MIT (https://github.com/twbs/bootstrap/blob/master/LICENSE)
  */