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

// The purpose of the benchmark library is to support building an aot binary
// with minimal dependencies, to demonstrate small binary sizes.
//
// KEEP THE DEPENDENCIES MINIMAL.

#include "tensorflow/compiler/aot/benchmark.h"

#include <sys/time.h>

#include <algorithm>
#include <string>
#include <utility>
#include <vector>

      break;
  }
}

// Checks the underlying data is equal for the buffers for two numeric tensors.
// Note: The caller must ensure to check that the dtypes and sizes of the
// underlying buffers are the same before calling this.
void CheckBufferDataIsEqual(DataType dtype, int64_t num_elements, void* a,
                            void* b) {
  switch (dtype) {

			// This is a sensitive configuration, it is better to set it to high values, > 60 secs since it can
			// affect clients reading data with a very slow pace  (disappropriate with socket buffer sizes)
			if opts.UserTimeout > 0 {
				_ = syscall.SetsockoptInt(fd, syscall.IPPROTO_TCP, unix.TCP_USER_TIMEOUT, opts.UserTimeout)
			}

			if opts.Interface != "" {
				if h, _, err := net.SplitHostPort(address); err == nil {

// This is a subset of the tests in range.go for range over integers,
// with extra tests, and without the need for -goexperiment=range.

package p

// test framework assumes 64-bit int/uint sizes by default
const (
	maxInt  = 1<<63 - 1
	maxUint = 1<<64 - 1
)

type MyInt int32

func _() {
	for range -1 {
	}
	for range 0 {
	}
	for range 1 {
	}
	for range uint8(1) {
	}

// NOLINTNEXTLINE
opt<std::string> input_shapes(
    "tf-input-shapes",
    llvm::cl::desc(
        "Input tensor shapes. Shapes for different tensors are separated by "
        "':', and dimension sizes for the same tensor are separated by ','"),
    llvm::cl::init(""));

// NOLINTNEXTLINE
opt<std::string> output_arrays(
    "tf-output-arrays", llvm::cl::desc("Output tensor names, separated by ','"),

		}

		for _, denylist := range denylistedFlags {
			if strings.Contains(string(out), denylist) {
				t.Fatalf("binary contains unexpected flags: %v", string(out))
			}
		}
	})
}

// Test that binary sizes do not bloat
func TestBinarySizes(t *testing.T) {
	cases := map[string]struct {
		minMb int64
		maxMb int64
	}{
		// TODO: shrink the ranges here once the active work to reduce binary size is complete

	// ServiceCIDR is primary service cidr for cluster.
	ServiceCIDR *net.IPNet
	// SecondaryServiceCIDR is secondary service cidr for cluster.
	SecondaryServiceCIDR *net.IPNet
	// NodeCIDRMaskSizes is list of node cidr mask sizes.
	NodeCIDRMaskSizes []int
}

// New creates a new CIDR range allocator.

        this.delegate = requireNonNull(delegate);
        if (queueSize < 1 || batchMaxSize < 1) {
            throw new IllegalArgumentException("Queue and batch sizes must be greater than 1");
        }
        this.batchMaxSize = batchMaxSize;
        this.blockOnLastEvent = blockOnLastEvent;

        this.eventQueue = new ArrayBlockingQueue<>(queueSize);

// allowed to have one mismatching dimension. Masking one of the dimensions is
// useful for ops like Concat that requires all ranked inputs to have the same
// rank and match dimension sizes for all but one of the dimensions.
LogicalResult VerifyTypesCompatibility(Operation::operand_type_range types,
                                       bool mask_one_dim, Operation *op) {
  int64_t common_rank = ShapedType::kDynamic;

	sub(/,$/, "", val)
	print "check_value(" name ", " val ")" > "goboringcrypto.x"
	next
}
enum {
	print FILENAME ":" NR ": unexpected line in enum: " $0 > "/dev/stderr"
	exitcode = 1
	next
}

# Check struct sizes.
/^typedef struct / && $NF ~ /^GO_/ {
	name = $NF
	sub(/^GO_/, "", name)
	sub(/;$/, "", name)
	print "check_size(" name ")" > "goboringcrypto.x"
	next
}

# Check function prototypes.