typedef struct {
        uint32_t __bits[_SIG_WORDS];
} go_sigset_t;
typedef struct {
	uintptr_t handler;
	int32_t flags;
	go_sigset_t mask;
} go_sigaction_t;

int32_t
x_cgo_sigaction(intptr_t signum, const go_sigaction_t *goact, go_sigaction_t *oldgoact) {
	int32_t ret;
	struct sigaction act;
	struct sigaction oldact;
	size_t i;

	_cgo_tsan_acquire();

	memset(&act, 0, sizeof act);

namespace gradients {

using namespace std;

// ================== Helper functions =================

// Fills data with values [start,end) with given step size.
void Range(vector<int32_t>* data, int32_t start, int32_t end,
           int32_t step = 1) {
  for (int32_t i = start; i < end; i += step) {
    (*data)[i] = i;
  }
}

// Fills out_dims with the dimensions of the given tensor.
void GetDims(const TF_Tensor* t, int64_t* out_dims) {

  }
  int32_t stride_w() const {
    return GetField<int32_t>(VT_STRIDE_W, 0);
  }
  int32_t stride_h() const {
    return GetField<int32_t>(VT_STRIDE_H, 0);
  }
  int32_t filter_width() const {
    return GetField<int32_t>(VT_FILTER_WIDTH, 0);
  }
  int32_t filter_height() const {
    return GetField<int32_t>(VT_FILTER_HEIGHT, 0);
  }

	fs.Int32Var(&o.VolumeConfiguration.PersistentVolumeRecyclerConfiguration.MinimumTimeoutNFS, "pv-recycler-minimum-timeout-nfs", o.VolumeConfiguration.PersistentVolumeRecyclerConfiguration.MinimumTimeoutNFS, "The minimum ActiveDeadlineSeconds to use for an NFS Recycler pod")

	fs.Int32Var(&o.NodeCIDRMaskSize, "node-cidr-mask-size", o.NodeCIDRMaskSize, "Mask size for node cidr in cluster. Default is 24 for IPv4 and 64 for IPv6.")
	fs.Int32Var(&o.NodeCIDRMaskSizeIPv4, "node-cidr-mask-size-ipv4", o.NodeCIDRMaskSizeIPv4, "Mask size for IPv4 node cidr in dual-stack cluster. Default is 24.")

  //   replicated_input
  //     [%a, ...] as %block_arg0: type
  //   packed_input
  //     %b as %block_arg1: type
  const int32_t n = this->getN();
  const int32_t num_replicated_inputs = getProperties().operandSegmentSizes[0];
  const int32_t num_replicated_block_args = num_replicated_inputs / n;

  if (getNumOperands()) {
    p << '(';
    Block& block = getBody().front();

namespace {

// Creates ConstOp for int32_t value.
ConstOp createI32ConstOp(int32_t value, Location loc,
                         PatternRewriter* rewriter) {
  auto int_attr = IntegerAttr::get(rewriter->getIntegerType(32), value);
  return rewriter->create<ConstOp>(loc, int_attr);
}

// Creates ConstantOp for array of int32_t.
arith::ConstantOp createI32ConstantOp(llvm::ArrayRef<int32_t> values,

using ::tsl::testing::StatusIs;

class CalibrationStatisticsSaverTest : public OpsTestBase {};

TEST_F(CalibrationStatisticsSaverTest, MissingOutputPath) {
  std::vector<std::string> ids{"1"};
  std::vector<int32_t> calibration_methods{
      CalibrationOptions::CALIBRATION_METHOD_AVERAGE_MIN_MAX};

  std::vector<NodeDefBuilder::NodeOut> inputs;
  inputs.emplace_back("min", 0, DT_FLOAT);
  inputs.emplace_back("max", 0, DT_FLOAT);

LogicalResult QuantizeMultiplier(double double_multiplier,
                                 int32_t& quantized_fraction, int32_t& shift) {
  if (!std::isfinite(double_multiplier) || double_multiplier <= 0) {
    return failure();
  }
  const double fraction = std::frexp(double_multiplier, &shift);
  quantized_fraction = static_cast<int32_t>(std::round(fraction * (1L << 15)));

  DataType input_type(int32_t o) const { return node_->input_type(o); }
  Output input(int32_t i) const;

  int32 num_outputs() const { return node_->num_outputs(); }
  DataType output_type(int32_t o) const { return node_->output_type(o); }
  Output output(int32_t i) const;

  Node* node() const { return node_; }

  uint64 hash(int32_t index) const;