},
		),
	}
}

// Validate makes an admission decision based on the request attributes.
func (a *Plugin) Validate(ctx context.Context, attr admission.Attributes, o admission.ObjectInterfaces) error {
	return a.Plugin.Dispatch(ctx, attr, o)
}

func (a *Plugin) InspectFeatureGates(featureGates featuregate.FeatureGate) {
	a.Plugin.SetEnabled(featureGates.Enabled(features.ValidatingAdmissionPolicy))
}

	// Make sure that nextfd is beyond any currently open files so
	// that we can't run the risk of overwriting any of them.
	fd := make([]int, len(attr.Files))
	nextfd = len(attr.Files)
	for i, ufd := range attr.Files {
		if nextfd < int(ufd) {
			nextfd = int(ufd)
		}
		fd[i] = int(ufd)
	}
	nextfd++

	// Allocate another pipe for parent to child communication for

  // Return operand as a constant attribute.
  auto operand_as_constant_fn = [&](Value operand) {
    ValuePort vp(operand);
    Attribute attr = ComputeOutputComponent(vp);
    if (!attr && matchPattern(operand, m_Constant(&attr)))
      RecordValue(vp, attr);
    return attr;
  };

  // Return op result as a shape.
  auto op_result_as_shape_fn = [&](InferenceContext& context,

// this composite (here, padding is done directly by the tfl.average_pool_2d as
// opposed to being extracted into a separate tfl.pad).
StringAttr GetAvgPoolOpPadAttr(Builder& builder, mhlo::CompositeOp op);

// Get dense attr for a matrix that corrects the over counting of divisors when
// casting an average pool with ceil mode on in terms of average pool with it
// off.
DenseFPElementsAttr GetCorrectionMatrix(Builder& builder, mhlo::CompositeOp op);

  const DeviceAttributes attrs = Device::BuildDeviceAttributes(
      absl::StrCat(name_prefix, "/device:", DEVICE_TPU_SYSTEM, ":", 0),
      DeviceType(DEVICE_TPU_SYSTEM), Bytes(memory_limit), DeviceLocality(),
      absl::StrCat("device: ", DEVICE_TPU_SYSTEM, " device"));
  devices->push_back(std::make_unique<VirtualDevice>(options.env, attrs));

  return xla::ClientLibrary::GetOrCreateLocalClient(options);
}

Allocator* XlaDevice::GetAllocator(AllocatorAttributes attr) {
  mutex_lock lock(mu_);
  return GetAllocatorLocked(attr);
}

Allocator* XlaDevice::GetAllocatorLocked(AllocatorAttributes attr) {
  if (attr.on_host()) {
    return cpu_allocator();
  }

  if (xla_allocator_ == nullptr) {

    Type shape_dtype = getElementTypeOrSelf(op.getElementShape().getType());
    Value num_elements = operands[1];
    IntegerAttr attr;
    if (matchPattern(num_elements, m_Constant(&attr))) {
      return CreateI32SplatConst(op.getLoc(), rewriter, {1}, attr.getInt());
    }
    if (auto const_op = num_elements.getDefiningOp<TF::ConstOp>()) {
      return CreateI32SplatConst(op->getLoc(), rewriter, {1},

	for _, rawAttr := range rawAttributes {
		var attr pkcs10Attribute
		if rest, err := asn1.Unmarshal(rawAttr.FullBytes, &attr); err != nil || len(rest) != 0 || len(attr.Values) == 0 {
			// Ignore attributes that don't parse.
			continue
		}

		if !attr.Id.Equal(oidExtensionRequest) {
			continue
		}

		var extensions []pkix.Extension
		if _, err := asn1.Unmarshal(attr.Values[0].FullBytes, &extensions); err != nil {

  'main' entry-point, separating tensors with ':', dimension with ',', and
  using '?' for unknown sizes. For example, `input-arg-shapes=1,2::1,?`
  expresses argument shapes `[1,2]`, `[]` and `[1,?]`.
* `--e`: Elide large elements attrs while dumping the output StableHLO.
* `--output_filename`: Path to the output file where the textual StableHLO MLIR
  module will be written (default: stdout).


### Examples

// policy XML, these variables shouldn't be used elsewhere
// they are only defined to be used in this file alone.
type grantee struct {
	XMLNS       string `xml:"xmlns:xsi,attr"`
	XMLXSI      string `xml:"xsi:type,attr"`
	Type        string `xml:"Type"`
	ID          string `xml:"ID,omitempty"`
	DisplayName string `xml:"DisplayName,omitempty"`
	URI         string `xml:"URI,omitempty"`
}

type grant struct {